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    <title>The AI Why with Liam Lawson</title>
    <link>https://www.theaireport.ai/</link>
    <language>en-us</language>
    <copyright></copyright>
    <description>We’re the team behind The AI Report — the #1 AI newsletter for 400,000+ business leaders at Google, Microsoft, OpenAI, and more. Each week, we cut through the noise with expert conversations on how AI is transforming business.

Expect deep dives into real-world use cases, practical strategies for leaders, and insights you won’t find anywhere else. If you want to understand AI in a way that drives results for your team, company, and career — you’re in the right place.

👉 Subscribe now and join 400,000+ professionals mastering AI in business.

theaireport.ai/subscribe-theaireport-spotify</description>
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      <title>The AI Why with Liam Lawson</title>
      <link>https://www.theaireport.ai/</link>
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    <itunes:explicit>no</itunes:explicit>
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    <itunes:subtitle></itunes:subtitle>
    <itunes:author>Liam Lawson</itunes:author>
    <itunes:summary>We’re the team behind The AI Report — the #1 AI newsletter for 400,000+ business leaders at Google, Microsoft, OpenAI, and more. Each week, we cut through the noise with expert conversations on how AI is transforming business.

Expect deep dives into real-world use cases, practical strategies for leaders, and insights you won’t find anywhere else. If you want to understand AI in a way that drives results for your team, company, and career — you’re in the right place.

👉 Subscribe now and join 400,000+ professionals mastering AI in business.

theaireport.ai/subscribe-theaireport-spotify</itunes:summary>
    <content:encoded>
      <![CDATA[We’re the team behind The AI Report — the #1 AI newsletter for 400,000+ business leaders at Google, Microsoft, OpenAI, and more. Each week, we cut through the noise with expert conversations on how AI is transforming business.

Expect deep dives into real-world use cases, practical strategies for leaders, and insights you won’t find anywhere else. If you want to understand AI in a way that drives results for your team, company, and career — you’re in the right place.

👉 Subscribe now and join 400,000+ professionals mastering AI in business.

theaireport.ai/subscribe-theaireport-spotify]]>
    </content:encoded>
    <itunes:owner>
      <itunes:name>Liam Lawson</itunes:name>
      <itunes:email>liam@theaireport.ai</itunes:email>
    </itunes:owner>
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    <itunes:category text="Technology">
    </itunes:category>
    <item>
      <title>Why Data (Not Code) Is Your Only Real AI Moat | Jason Li, Laurel</title>
      <description>In this episode, Jason Li, CTO of Laurel, reveals how the company is turning timesheets into the AI playbook for the entire knowledge-work economy. Jason breaks down why $2,000/hour lawyers still spend Saturdays manually filling out time in six-minute increments, how Laurel's AI platform automatically captures every click, email, and meeting, and why data (not code) is the only real moat left in the age of the SaaSpocalypse.

Jason shares how Ernst &amp; Young is using Laurel to identify high-leverage work, why Laurel deliberately integrates with "decades-old" software like Classic Outlook that most startups ignore, and the counter-intuitive reason your best rainmakers should never be forced into cookie-cutter roles again. He also explains why Laurel doesn't train its own LLM, how they run AI feedback loops that self-iterate prompts, and the frameworks leaders can use to actually measure AI ROI instead of just surveying "did it help?"

Key Topics Covered:


  Why "what gets measured gets managed" is the most important rule in AI adoption

  The Moneyball insight that changed how Jason thinks about metrics

  How Laurel auto-generates timesheets for lawyers and accountants

  Why Ernst &amp; Young chose Laurel for their tax group

  The hidden cost of manual timesheets for $2K/hour professionals

  How Laurel maps knowledge work to a company's "work ontology"

  Why decades-old software (Classic Outlook) is a competitive moat, not a liability

  The SaaSpocalypse: what survives when AI eats applications

  How to measure if an AI tool actually delivers ROI

  Why data, not models, is the real defensible asset in AI


Episode Timestamps:

00:00 - Intro

00:25 - The Peter Drucker quote that shaped Jason's career

02:49 - A Moneyball analogy for AI adoption

03:25 - What Laurel actually does: the AI platform that maps time to outcomes

07:19 - Why every business (not just law firms) needs time visibility

09:17 - Inside the Ernst &amp; Young deployment

12:27 - Jason's journey to becoming CTO at Laurel

14:21 - Live product demo: Laurel's work ontology engine

17:49 - How AI shifts the line between high and low leverage work

21:15 - What onboarding a 2,000-person firm actually looks like

23:06 - The technical architecture behind Laurel's desktop client

28:35 - Why Laurel doesn't train its own LLM

29:39 - How Laurel handles AI models "getting worse" overnight

33:35 - Capturing time for work that doesn't happen on a computer

37:17 - AI adoption meets employee behavior change

41:54 - The SaaSpocalypse and why Laurel's moat is data, not software

48:00 - Why Jason left Ironclad to join Laurel

51:16 - Jason's answer to The AI Why's signature closing question

Jason Li's Socials:

LinkedIn: https://www.linkedin.com/in/jasonhli/

Laurel: https://www.laurel.ai

Partner Links

Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass

Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

Join the community: www.theaireport.ai/leaders-launch-guide


































Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 14 May 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/41ab411a-4e1c-11f1-b06f-335f841bcc91/image/cc6405313d831724e4a5595eee936a53.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, Jason Li, CTO of Laurel, reveals how the company is turning timesheets into the AI playbook for the entire knowledge-work economy. Jason breaks down why $2,000/hour lawyers still spend Saturdays manually filling out time in six-minute increments, how Laurel's AI platform automatically captures every click, email, and meeting, and why data (not code) is the only real moat left in the age of the SaaSpocalypse.

Jason shares how Ernst &amp; Young is using Laurel to identify high-leverage work, why Laurel deliberately integrates with "decades-old" software like Classic Outlook that most startups ignore, and the counter-intuitive reason your best rainmakers should never be forced into cookie-cutter roles again. He also explains why Laurel doesn't train its own LLM, how they run AI feedback loops that self-iterate prompts, and the frameworks leaders can use to actually measure AI ROI instead of just surveying "did it help?"

Key Topics Covered:


  Why "what gets measured gets managed" is the most important rule in AI adoption

  The Moneyball insight that changed how Jason thinks about metrics

  How Laurel auto-generates timesheets for lawyers and accountants

  Why Ernst &amp; Young chose Laurel for their tax group

  The hidden cost of manual timesheets for $2K/hour professionals

  How Laurel maps knowledge work to a company's "work ontology"

  Why decades-old software (Classic Outlook) is a competitive moat, not a liability

  The SaaSpocalypse: what survives when AI eats applications

  How to measure if an AI tool actually delivers ROI

  Why data, not models, is the real defensible asset in AI


Episode Timestamps:

00:00 - Intro

00:25 - The Peter Drucker quote that shaped Jason's career

02:49 - A Moneyball analogy for AI adoption

03:25 - What Laurel actually does: the AI platform that maps time to outcomes

07:19 - Why every business (not just law firms) needs time visibility

09:17 - Inside the Ernst &amp; Young deployment

12:27 - Jason's journey to becoming CTO at Laurel

14:21 - Live product demo: Laurel's work ontology engine

17:49 - How AI shifts the line between high and low leverage work

21:15 - What onboarding a 2,000-person firm actually looks like

23:06 - The technical architecture behind Laurel's desktop client

28:35 - Why Laurel doesn't train its own LLM

29:39 - How Laurel handles AI models "getting worse" overnight

33:35 - Capturing time for work that doesn't happen on a computer

37:17 - AI adoption meets employee behavior change

41:54 - The SaaSpocalypse and why Laurel's moat is data, not software

48:00 - Why Jason left Ironclad to join Laurel

51:16 - Jason's answer to The AI Why's signature closing question

Jason Li's Socials:

LinkedIn: https://www.linkedin.com/in/jasonhli/

Laurel: https://www.laurel.ai

Partner Links

Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass

Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

Join the community: www.theaireport.ai/leaders-launch-guide


































Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Jason Li, CTO of Laurel, reveals how the company is turning timesheets into the AI playbook for the entire knowledge-work economy. Jason breaks down why $2,000/hour lawyers still spend Saturdays manually filling out time in six-minute increments, how Laurel's AI platform automatically captures every click, email, and meeting, and why data (not code) is the only real moat left in the age of the SaaSpocalypse.</p>
<p>Jason shares how Ernst &amp; Young is using Laurel to identify high-leverage work, why Laurel deliberately integrates with "decades-old" software like Classic Outlook that most startups ignore, and the counter-intuitive reason your best rainmakers should never be forced into cookie-cutter roles again. He also explains why Laurel doesn't train its own LLM, how they run AI feedback loops that self-iterate prompts, and the frameworks leaders can use to actually measure AI ROI instead of just surveying "did it help?"</p>
<p><strong>Key Topics Covered:</strong></p>
<ul>
  <li>Why "what gets measured gets managed" is the most important rule in AI adoption</li>
  <li>The Moneyball insight that changed how Jason thinks about metrics</li>
  <li>How Laurel auto-generates timesheets for lawyers and accountants</li>
  <li>Why Ernst &amp; Young chose Laurel for their tax group</li>
  <li>The hidden cost of manual timesheets for $2K/hour professionals</li>
  <li>How Laurel maps knowledge work to a company's "work ontology"</li>
  <li>Why decades-old software (Classic Outlook) is a competitive moat, not a liability</li>
  <li>The SaaSpocalypse: what survives when AI eats applications</li>
  <li>How to measure if an AI tool actually delivers ROI</li>
  <li>Why data, not models, is the real defensible asset in AI</li>
</ul>
<p><strong>Episode Timestamps:</strong></p>
<p>00:00 - Intro</p>
<p>00:25 - The Peter Drucker quote that shaped Jason's career</p>
<p>02:49 - A Moneyball analogy for AI adoption</p>
<p>03:25 - What Laurel actually does: the AI platform that maps time to outcomes</p>
<p>07:19 - Why every business (not just law firms) needs time visibility</p>
<p>09:17 - Inside the Ernst &amp; Young deployment</p>
<p>12:27 - Jason's journey to becoming CTO at Laurel</p>
<p>14:21 - Live product demo: Laurel's work ontology engine</p>
<p>17:49 - How AI shifts the line between high and low leverage work</p>
<p>21:15 - What onboarding a 2,000-person firm actually looks like</p>
<p>23:06 - The technical architecture behind Laurel's desktop client</p>
<p>28:35 - Why Laurel doesn't train its own LLM</p>
<p>29:39 - How Laurel handles AI models "getting worse" overnight</p>
<p>33:35 - Capturing time for work that doesn't happen on a computer</p>
<p>37:17 - AI adoption meets employee behavior change</p>
<p>41:54 - The SaaSpocalypse and why Laurel's moat is data, not software</p>
<p>48:00 - Why Jason left Ironclad to join Laurel</p>
<p>51:16 - Jason's answer to The AI Why's signature closing question</p>
<p><strong>Jason Li's Socials:</strong></p>
<p>LinkedIn: <a href="https://www.linkedin.com/in/jasonhli/">https://www.linkedin.com/in/jasonhli/</a></p>
<p>Laurel: <a href="https://www.laurel.ai">https://www.laurel.ai</a></p>
<p><strong>Partner Links</strong></p>
<p>Upgrade your AI toolkit: <a href="https://www.theaireport.ai/ai-executive-pass">https://www.theaireport.ai/ai-executive-pass</a></p>
<p>Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a></p>
<p>Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>































</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3348</itunes:duration>
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    </item>
    <item>
      <title>Pentagon's AI List + Elon Musk Rents His Data Center to Anthropic | AI News in 5</title>
      <description>The Pentagon just signed eight AI deals and left Anthropic out. Wall Street is helping both Claude and ChatGPT move deeper into companies. And Elon Musk went from calling Anthropic evil to powering it with his own data center.

This week, the Pentagon clears eight major tech companies for classified military AI while Anthropic fights back in court, Anthropic and OpenAI both launch enterprise AI services businesses backed by Wall Street giants, GPT-5.5 Instant becomes ChatGPT's default model with significantly fewer hallucinations, Greg Brockman takes the witness stand in Elon Musk's lawsuit against OpenAI, and Anthropic signs a deal with SpaceX to use the Colossus 1 data center that Musk built for his own AI company.

If you are a founder, operator or executive trying to keep up with AI, this is your weekly news briefing every Tuesday.

Stories Covered This Week:


  The Pentagon signs AI agreements with Google, OpenAI, Microsoft, Nvidia, AWS, SpaceX, Oracle and Reflection while Anthropic fights to stay on the list

  Anthropic launches a $1.5B enterprise AI services company with Blackstone and Goldman Sachs while OpenAI finalizes a $10B joint venture called The Deployment Co

  GPT-5.5 Instant is now ChatGPT's default model, making 52.5% fewer errors on high stakes questions

  Greg Brockman testifies in Elon Musk's OpenAI lawsuit, revealing tense scenes from the company's early days

  Anthropic signs a deal with SpaceX to use Colossus 1, the data center Musk built for xAI, with talks of orbital AI infrastructure to follow



Timestamps:

00:00 Intro
00:20 Pentagon signs eight AI deals, Anthropic left out
01:53 Anthropic and OpenAI launch enterprise AI services businesses
03:30 GPT-5.5 Instant becomes ChatGPT's default model
04:53 Greg Brockman testifies in Elon Musk's OpenAI lawsuit
06:23 Elon Musk goes from calling Anthropic evil to powering Claude

08:10: Outro

Partner Links:

Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass

Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

Join the community: www.theaireport.ai/leaders-launch-guide
















Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 12 May 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>The Pentagon just signed eight AI deals and left Anthropic out. Wall Street is helping both Claude and ChatGPT move deeper into companies. And Elon Musk went from calling Anthropic evil to powering it with his own data center.

This week, the Pentagon clears eight major tech companies for classified military AI while Anthropic fights back in court, Anthropic and OpenAI both launch enterprise AI services businesses backed by Wall Street giants, GPT-5.5 Instant becomes ChatGPT's default model with significantly fewer hallucinations, Greg Brockman takes the witness stand in Elon Musk's lawsuit against OpenAI, and Anthropic signs a deal with SpaceX to use the Colossus 1 data center that Musk built for his own AI company.

If you are a founder, operator or executive trying to keep up with AI, this is your weekly news briefing every Tuesday.

Stories Covered This Week:


  The Pentagon signs AI agreements with Google, OpenAI, Microsoft, Nvidia, AWS, SpaceX, Oracle and Reflection while Anthropic fights to stay on the list

  Anthropic launches a $1.5B enterprise AI services company with Blackstone and Goldman Sachs while OpenAI finalizes a $10B joint venture called The Deployment Co

  GPT-5.5 Instant is now ChatGPT's default model, making 52.5% fewer errors on high stakes questions

  Greg Brockman testifies in Elon Musk's OpenAI lawsuit, revealing tense scenes from the company's early days

  Anthropic signs a deal with SpaceX to use Colossus 1, the data center Musk built for xAI, with talks of orbital AI infrastructure to follow



Timestamps:

00:00 Intro
00:20 Pentagon signs eight AI deals, Anthropic left out
01:53 Anthropic and OpenAI launch enterprise AI services businesses
03:30 GPT-5.5 Instant becomes ChatGPT's default model
04:53 Greg Brockman testifies in Elon Musk's OpenAI lawsuit
06:23 Elon Musk goes from calling Anthropic evil to powering Claude

08:10: Outro

Partner Links:

Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass

Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

Join the community: www.theaireport.ai/leaders-launch-guide
















Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The Pentagon just signed eight AI deals and left Anthropic out. Wall Street is helping both Claude and ChatGPT move deeper into companies. And Elon Musk went from calling Anthropic evil to powering it with his own data center.</p>
<p>This week, the Pentagon clears eight major tech companies for classified military AI while Anthropic fights back in court, Anthropic and OpenAI both launch enterprise AI services businesses backed by Wall Street giants, GPT-5.5 Instant becomes ChatGPT's default model with significantly fewer hallucinations, Greg Brockman takes the witness stand in Elon Musk's lawsuit against OpenAI, and Anthropic signs a deal with SpaceX to use the Colossus 1 data center that Musk built for his own AI company.</p>
<p>If you are a founder, operator or executive trying to keep up with AI, this is your weekly news briefing every Tuesday.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>The Pentagon signs AI agreements with Google, OpenAI, Microsoft, Nvidia, AWS, SpaceX, Oracle and Reflection while Anthropic fights to stay on the list</li>
  <li>Anthropic launches a $1.5B enterprise AI services company with Blackstone and Goldman Sachs while OpenAI finalizes a $10B joint venture called The Deployment Co</li>
  <li>GPT-5.5 Instant is now ChatGPT's default model, making 52.5% fewer errors on high stakes questions</li>
  <li>Greg Brockman testifies in Elon Musk's OpenAI lawsuit, revealing tense scenes from the company's early days</li>
  <li>Anthropic signs a deal with SpaceX to use Colossus 1, the data center Musk built for xAI, with talks of orbital AI infrastructure to follow
</li>
</ul>
<p><strong>Timestamps:</strong></p>
<p>00:00 Intro
00:20 Pentagon signs eight AI deals, Anthropic left out
01:53 Anthropic and OpenAI launch enterprise AI services businesses
03:30 GPT-5.5 Instant becomes ChatGPT's default model
04:53 Greg Brockman testifies in Elon Musk's OpenAI lawsuit
06:23 Elon Musk goes from calling Anthropic evil to powering Claude</p>
<p>08:10: Outro</p>
<p>Partner Links:</p>
<p>Upgrade your AI toolkit: <a href="https://www.theaireport.ai/ai-executive-pass">https://www.theaireport.ai/ai-executive-pass</a></p>
<p>Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a></p>
<p>Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>













</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>536</itunes:duration>
      <guid isPermaLink="false"><![CDATA[6cdf8840-4e18-11f1-a742-077e1f55d341]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4041814882.mp3?updated=1778601232" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Exact Formula Charlie Hills Uses to Go Viral on Any Platform | LinkedIn, Instagram and AI Content Strategy</title>
      <description>22,000 LinkedIn followers to over 210,000 in just over a year. Charlie Hills did not get there by luck. He got there by reverse engineering what already works, posting with intention every single day, and building systems with AI that most people have not even heard of yet.

In this second appearance on The AI Why, Liam Lawson sits down with Charlie Hills to break down exactly how he goes viral across LinkedIn, Instagram, and TikTok, what his full content creation process looks like with Claude, and why he just launched a SaaS tool built entirely from his own workflows inside Claude Code.

Stories Covered This Week:


  The pre-validated content strategy that got Charlie 11 million views on his first Instagram reel

  The CHEF framework for creating content that does not sound like AI wrote it

  How Charlie uses Appify, Claude Code and Gemini together to reverse engineer viral content

  Why organic reach on LinkedIn is dying and what to do about it

  Claude Code for infographics, carousels, and eventually video editing from the terminal

  Vislo, the branded infographic SaaS tool Charlie just launched in public beta

  Pattern interrupts, B-roll clarity and what actually stops the scroll on Instagram

  Going from 9 to 5 employee to full time creator in nine months


Episode timestamps:

00:00 Intro and follower count update
01:03 How Charlie goes viral on any platform
04:01 Steal Like an Artist and pre-validated content
04:53 What structure works on Instagram reels
07:36 Speaking coach, scripting and sounding human
09:06 The full LinkedIn content creation process
10:03 Posting cadence and why twice a day backfired
12:19 The CHEF framework explained
15:07 Appify, Claude Code and scraping for content research
17:04 Claude Co-Work scheduled tasks and workflows
20:22 Going deep into Claude Code for infographics
22:06 How Claude Code memory and the MD file works
24:41 Combining Gemini API inside Claude Code for Instagram scripts
26:53 Where AI ends and humans begin in the content process
30:36 Remotion and the future of AI video editing
33:33 Over-engineering with AI and why it is addictive
35:02 The story behind Vislo, the branded infographic SaaS
40:22 Beta feedback and pricing
42:01 Done For You vs SaaS customers
43:57 Expanding beyond LinkedIn to Instagram, TikTok and YouTube
47:12 What the ideal future of work looks like for Charlie
49:12 The Mexico LinkedIn creator house with Mischa and Corey
53:03 University, failed business and the nine month grind
01:00:01 Did not leave the nine to five to earn more, but to live more
01:00:55 Why do you do what you do?

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

Join the community: www.theaireport.ai/leaders-launch-guide











Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 07 May 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/38207a06-48af-11f1-83d1-9b01c2f14cb8/image/51011aaef702b59c60f07d9b7497516a.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>22,000 LinkedIn followers to over 210,000 in just over a year. Charlie Hills did not get there by luck. He got there by reverse engineering what already works, posting with intention every single day, and building systems with AI that most people have not even heard of yet.

In this second appearance on The AI Why, Liam Lawson sits down with Charlie Hills to break down exactly how he goes viral across LinkedIn, Instagram, and TikTok, what his full content creation process looks like with Claude, and why he just launched a SaaS tool built entirely from his own workflows inside Claude Code.

Stories Covered This Week:


  The pre-validated content strategy that got Charlie 11 million views on his first Instagram reel

  The CHEF framework for creating content that does not sound like AI wrote it

  How Charlie uses Appify, Claude Code and Gemini together to reverse engineer viral content

  Why organic reach on LinkedIn is dying and what to do about it

  Claude Code for infographics, carousels, and eventually video editing from the terminal

  Vislo, the branded infographic SaaS tool Charlie just launched in public beta

  Pattern interrupts, B-roll clarity and what actually stops the scroll on Instagram

  Going from 9 to 5 employee to full time creator in nine months


Episode timestamps:

00:00 Intro and follower count update
01:03 How Charlie goes viral on any platform
04:01 Steal Like an Artist and pre-validated content
04:53 What structure works on Instagram reels
07:36 Speaking coach, scripting and sounding human
09:06 The full LinkedIn content creation process
10:03 Posting cadence and why twice a day backfired
12:19 The CHEF framework explained
15:07 Appify, Claude Code and scraping for content research
17:04 Claude Co-Work scheduled tasks and workflows
20:22 Going deep into Claude Code for infographics
22:06 How Claude Code memory and the MD file works
24:41 Combining Gemini API inside Claude Code for Instagram scripts
26:53 Where AI ends and humans begin in the content process
30:36 Remotion and the future of AI video editing
33:33 Over-engineering with AI and why it is addictive
35:02 The story behind Vislo, the branded infographic SaaS
40:22 Beta feedback and pricing
42:01 Done For You vs SaaS customers
43:57 Expanding beyond LinkedIn to Instagram, TikTok and YouTube
47:12 What the ideal future of work looks like for Charlie
49:12 The Mexico LinkedIn creator house with Mischa and Corey
53:03 University, failed business and the nine month grind
01:00:01 Did not leave the nine to five to earn more, but to live more
01:00:55 Why do you do what you do?

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe

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      <content:encoded>
        <![CDATA[<p>22,000 LinkedIn followers to over 210,000 in just over a year. Charlie Hills did not get there by luck. He got there by reverse engineering what already works, posting with intention every single day, and building systems with AI that most people have not even heard of yet.</p>
<p>In this second appearance on The AI Why, Liam Lawson sits down with Charlie Hills to break down exactly how he goes viral across LinkedIn, Instagram, and TikTok, what his full content creation process looks like with Claude, and why he just launched a SaaS tool built entirely from his own workflows inside Claude Code.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>The pre-validated content strategy that got Charlie 11 million views on his first Instagram reel</li>
  <li>The CHEF framework for creating content that does not sound like AI wrote it</li>
  <li>How Charlie uses Appify, Claude Code and Gemini together to reverse engineer viral content</li>
  <li>Why organic reach on LinkedIn is dying and what to do about it</li>
  <li>Claude Code for infographics, carousels, and eventually video editing from the terminal</li>
  <li>Vislo, the branded infographic SaaS tool Charlie just launched in public beta</li>
  <li>Pattern interrupts, B-roll clarity and what actually stops the scroll on Instagram</li>
  <li>Going from 9 to 5 employee to full time creator in nine months</li>
</ul>
<p>Episode timestamps:</p>
<p>00:00 Intro and follower count update
01:03 How Charlie goes viral on any platform
04:01 Steal Like an Artist and pre-validated content
04:53 What structure works on Instagram reels
07:36 Speaking coach, scripting and sounding human
09:06 The full LinkedIn content creation process
10:03 Posting cadence and why twice a day backfired
12:19 The CHEF framework explained
15:07 Appify, Claude Code and scraping for content research
17:04 Claude Co-Work scheduled tasks and workflows
20:22 Going deep into Claude Code for infographics
22:06 How Claude Code memory and the MD file works
24:41 Combining Gemini API inside Claude Code for Instagram scripts
26:53 Where AI ends and humans begin in the content process
30:36 Remotion and the future of AI video editing
33:33 Over-engineering with AI and why it is addictive
35:02 The story behind Vislo, the branded infographic SaaS
40:22 Beta feedback and pricing
42:01 Done For You vs SaaS customers
43:57 Expanding beyond LinkedIn to Instagram, TikTok and YouTube
47:12 What the ideal future of work looks like for Charlie
49:12 The Mexico LinkedIn creator house with Mischa and Corey
53:03 University, failed business and the nine month grind
01:00:01 Did not leave the nine to five to earn more, but to live more
01:00:55 Why do you do what you do?</p>
<p>Partner Links
Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a></p>
<p>Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>








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      </content:encoded>
      <itunes:duration>4030</itunes:duration>
      <guid isPermaLink="false"><![CDATA[38207a06-48af-11f1-83d1-9b01c2f14cb8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4542345328.mp3?updated=1778006841" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Anthropic Beats OpenAI + Google's $40B Bet | AI News in 5</title>
      <description>Anthropic just passed OpenAI in revenue for the first time ever. Google signed a classified Pentagon deal and then invested $40 billion in the company it competes with. And OpenAI just put an expiry date on every custom GPT.

This week, Google locks in a classified defense agreement as Anthropic gets cut out, Google commits $40 billion to its biggest AI rival, Meta posts its fastest growth since 2021 but still watches its stock fall, OpenAI shuts down custom GPTs in favour of autonomous Workspace Agents, and Anthropic overtakes OpenAI in annualized revenue at $30 billion.

If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  Google signs a classified Pentagon agreement giving access to Gemini for sensitive defense work as Anthropic gets cut out

  Google announces plans to invest up to $40 billion in Anthropic despite competing directly with Claude

  Meta reports $56.3 billion in Q1 revenue, up 33% year over year, but stock falls 7% on AI spending concerns

  OpenAI introduces Workspace Agents and deprecates custom GPTs for business accounts by August 2026

  Anthropic's annualized revenue hits $30 billion, passing OpenAI for the first time


Episode timestamps:

00:00 Intro
00:20 Google signs classified Pentagon deal
01:10 Google invests $40 billion in Anthropic
02:00 Meta beats earnings but stock falls
02:50 OpenAI replaces custom GPTs with Workspace Agents
03:40 Anthropic passes OpenAI in revenue
04:30 Outro

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: www.theaireport.ai/leaders-launch-guide











Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 05 May 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Anthropic just passed OpenAI in revenue for the first time ever. Google signed a classified Pentagon deal and then invested $40 billion in the company it competes with. And OpenAI just put an expiry date on every custom GPT.

This week, Google locks in a classified defense agreement as Anthropic gets cut out, Google commits $40 billion to its biggest AI rival, Meta posts its fastest growth since 2021 but still watches its stock fall, OpenAI shuts down custom GPTs in favour of autonomous Workspace Agents, and Anthropic overtakes OpenAI in annualized revenue at $30 billion.

If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  Google signs a classified Pentagon agreement giving access to Gemini for sensitive defense work as Anthropic gets cut out

  Google announces plans to invest up to $40 billion in Anthropic despite competing directly with Claude

  Meta reports $56.3 billion in Q1 revenue, up 33% year over year, but stock falls 7% on AI spending concerns

  OpenAI introduces Workspace Agents and deprecates custom GPTs for business accounts by August 2026

  Anthropic's annualized revenue hits $30 billion, passing OpenAI for the first time


Episode timestamps:

00:00 Intro
00:20 Google signs classified Pentagon deal
01:10 Google invests $40 billion in Anthropic
02:00 Meta beats earnings but stock falls
02:50 OpenAI replaces custom GPTs with Workspace Agents
03:40 Anthropic passes OpenAI in revenue
04:30 Outro

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: www.theaireport.ai/leaders-launch-guide











Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Anthropic just passed OpenAI in revenue for the first time ever. Google signed a classified Pentagon deal and then invested $40 billion in the company it competes with. And OpenAI just put an expiry date on every custom GPT.</p>
<p>This week, Google locks in a classified defense agreement as Anthropic gets cut out, Google commits $40 billion to its biggest AI rival, Meta posts its fastest growth since 2021 but still watches its stock fall, OpenAI shuts down custom GPTs in favour of autonomous Workspace Agents, and Anthropic overtakes OpenAI in annualized revenue at $30 billion.</p>
<p>If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>Google signs a classified Pentagon agreement giving access to Gemini for sensitive defense work as Anthropic gets cut out</li>
  <li>Google announces plans to invest up to $40 billion in Anthropic despite competing directly with Claude</li>
  <li>Meta reports $56.3 billion in Q1 revenue, up 33% year over year, but stock falls 7% on AI spending concerns</li>
  <li>OpenAI introduces Workspace Agents and deprecates custom GPTs for business accounts by August 2026</li>
  <li>Anthropic's annualized revenue hits $30 billion, passing OpenAI for the first time</li>
</ul>
<p>Episode timestamps:</p>
<p>00:00 Intro
00:20 Google signs classified Pentagon deal
01:10 Google invests $40 billion in Anthropic
02:00 Meta beats earnings but stock falls
02:50 OpenAI replaces custom GPTs with Workspace Agents
03:40 Anthropic passes OpenAI in revenue
04:30 Outro</p>
<p>Partner Links
Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a>
Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>








</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>380</itunes:duration>
      <guid isPermaLink="false"><![CDATA[16e65378-4892-11f1-9bc8-138b8ec7c42c]]></guid>
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    </item>
    <item>
      <title>Monday.com Co-Founder: "We Changed the Vision of the Company Completely" | Roy Mann on the Agent Economy</title>
      <description>Monday.com has 225,000 customers and over 60,000 seats at some of its largest accounts. So when its co-founder says the company completely changed its vision, that is worth paying attention to.

In this episode, Liam Lawson sits down with Roy Mann, co-founder of Monday.com, to talk about the three waves of AI, why managing work is no longer the goal, and how Monday is now betting everything on agents actually doing the work instead.

Roy also breaks down Agent Talent, the marketplace where companies can hire AI agents like employees, why Monday opened its platform to agents as first class citizens, and what adaptability really means when technology is moving this fast.

Stories Covered This Week:


  The three waves of AI and why wave three changes everything

  Why Monday changed its core vision from managing work to doing the work

  Agent Talent: hiring AI agents like employees with real job postings and qualifications

  Selling to agents, not just humans, and what that marketing looks like

  The SaaS apocalypse and whether the per seat model is actually dead

  OpenClaw, open source AI, and why Roy thinks this is a democratic technology

  The future of work, abundance vs scarcity, and why adaptability is the only skill that matters


Timestamps:

00:00 Intro
00:45 The three waves of AI
03:42 Customer reception to agents
07:16 The developer who went from terrified to empowered
10:33 What personality traits succeed in the agent economy
12:16 Monday's internal AI infrastructure
19:44 Agent Talent and selling to agents
24:50 How to sell to an agent
27:37 Testing and qualifying agents with Sensei
30:22 Why open source matters
32:22 The future of work
36:44 Is the per seat model dead?
39:51 OpenClaw and local models
44:04 Paperclip and multi-agent orchestration
52:09 Roy's ideal future of work
56:42 Betting everything on agents with Monday stock down 76%
01:00:00 Where Monday's adaptability comes from
01:01:43 Why do you do what you do?

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH

Join the community: www.theaireport.ai/leaders-launch-guide












Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 30 Apr 2026 21:06:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/e243492e-3f4e-11f1-937c-936462cf8b8a/image/11cf728dd9ddae45910af35764a1fbb6.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Monday.com has 225,000 customers and over 60,000 seats at some of its largest accounts. So when its co-founder says the company completely changed its vision, that is worth paying attention to.

In this episode, Liam Lawson sits down with Roy Mann, co-founder of Monday.com, to talk about the three waves of AI, why managing work is no longer the goal, and how Monday is now betting everything on agents actually doing the work instead.

Roy also breaks down Agent Talent, the marketplace where companies can hire AI agents like employees, why Monday opened its platform to agents as first class citizens, and what adaptability really means when technology is moving this fast.

Stories Covered This Week:


  The three waves of AI and why wave three changes everything

  Why Monday changed its core vision from managing work to doing the work

  Agent Talent: hiring AI agents like employees with real job postings and qualifications

  Selling to agents, not just humans, and what that marketing looks like

  The SaaS apocalypse and whether the per seat model is actually dead

  OpenClaw, open source AI, and why Roy thinks this is a democratic technology

  The future of work, abundance vs scarcity, and why adaptability is the only skill that matters


Timestamps:

00:00 Intro
00:45 The three waves of AI
03:42 Customer reception to agents
07:16 The developer who went from terrified to empowered
10:33 What personality traits succeed in the agent economy
12:16 Monday's internal AI infrastructure
19:44 Agent Talent and selling to agents
24:50 How to sell to an agent
27:37 Testing and qualifying agents with Sensei
30:22 Why open source matters
32:22 The future of work
36:44 Is the per seat model dead?
39:51 OpenClaw and local models
44:04 Paperclip and multi-agent orchestration
52:09 Roy's ideal future of work
56:42 Betting everything on agents with Monday stock down 76%
01:00:00 Where Monday's adaptability comes from
01:01:43 Why do you do what you do?

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH

Join the community: www.theaireport.ai/leaders-launch-guide












Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><a href="http://Monday.com">Monday.com</a> has 225,000 customers and over 60,000 seats at some of its largest accounts. So when its co-founder says the company completely changed its vision, that is worth paying attention to.</p>
<p>In this episode, Liam Lawson sits down with Roy Mann, co-founder of <a href="http://Monday.com">Monday.com</a>, to talk about the three waves of AI, why managing work is no longer the goal, and how Monday is now betting everything on agents actually doing the work instead.</p>
<p>Roy also breaks down Agent Talent, the marketplace where companies can hire AI agents like employees, why Monday opened its platform to agents as first class citizens, and what adaptability really means when technology is moving this fast.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>The three waves of AI and why wave three changes everything</li>
  <li>Why Monday changed its core vision from managing work to doing the work</li>
  <li>Agent Talent: hiring AI agents like employees with real job postings and qualifications</li>
  <li>Selling to agents, not just humans, and what that marketing looks like</li>
  <li>The SaaS apocalypse and whether the per seat model is actually dead</li>
  <li>OpenClaw, open source AI, and why Roy thinks this is a democratic technology</li>
  <li>The future of work, abundance vs scarcity, and why adaptability is the only skill that matters</li>
</ul>
<p>Timestamps:</p>
<p>00:00 Intro
00:45 The three waves of AI
03:42 Customer reception to agents
07:16 The developer who went from terrified to empowered
10:33 What personality traits succeed in the agent economy
12:16 Monday's internal AI infrastructure
19:44 Agent Talent and selling to agents
24:50 How to sell to an agent
27:37 Testing and qualifying agents with Sensei
30:22 Why open source matters
32:22 The future of work
36:44 Is the per seat model dead?
39:51 OpenClaw and local models
44:04 Paperclip and multi-agent orchestration
52:09 Roy's ideal future of work
56:42 Betting everything on agents with Monday stock down 76%
01:00:00 Where Monday's adaptability comes from
01:01:43 Why do you do what you do?</p>
<p>Partner Links
Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a>
Free AI Tool Stack: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p>
<p>Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>









</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4105</itunes:duration>
      <guid isPermaLink="false"><![CDATA[e243492e-3f4e-11f1-937c-936462cf8b8a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5730659449.mp3?updated=1777583892" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>GPT-5.5 Drops + Anthropic's Mythos Gets Breached | AI News in 5</title>
      <description>The AI model that was too dangerous to release just got breached. Anthropic entered the design software market. And OpenAI dropped its biggest model yet, just six weeks after the last one.

This week, the NSA is using Anthropic's Mythos despite the Pentagon blacklisting the company, Claude Design takes on Figma and sends its stock down 7%, Yelp transforms into an agentic consumer app, Mythos gets accessed by an unauthorized Discord group, and OpenAI fires back with GPT-5.5.

If you are a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  NSA uses Anthropic's Mythos Preview despite the Pentagon declaring the company a supply chain risk

  Anthropic launches Claude Design, a prompt-to-prototype design tool that sent Figma stock down 7%

  Yelp's upgraded AI assistant can now book restaurants, doctors, and more in one conversation

  Anthropic investigates unauthorized access to Mythos through a third-party vendor environment

  OpenAI releases GPT-5.5, scoring 88.7% on SWE-bench with a 60% drop in hallucinations vs GPT-5.4


Episode Timestamps:

00:00 Intro
00:20 NSA uses Anthropic's Mythos despite Pentagon blacklist
01:10 Anthropic launches Claude Design
02:00 Yelp's AI assistant goes full service
02:50 Anthropic investigates Mythos breach
03:40 OpenAI drops GPT-5.5
04:30 Outro

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: www.theaireport.ai/leaders-launch-guide











Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 28 Apr 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>The AI model that was too dangerous to release just got breached. Anthropic entered the design software market. And OpenAI dropped its biggest model yet, just six weeks after the last one.

This week, the NSA is using Anthropic's Mythos despite the Pentagon blacklisting the company, Claude Design takes on Figma and sends its stock down 7%, Yelp transforms into an agentic consumer app, Mythos gets accessed by an unauthorized Discord group, and OpenAI fires back with GPT-5.5.

If you are a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  NSA uses Anthropic's Mythos Preview despite the Pentagon declaring the company a supply chain risk

  Anthropic launches Claude Design, a prompt-to-prototype design tool that sent Figma stock down 7%

  Yelp's upgraded AI assistant can now book restaurants, doctors, and more in one conversation

  Anthropic investigates unauthorized access to Mythos through a third-party vendor environment

  OpenAI releases GPT-5.5, scoring 88.7% on SWE-bench with a 60% drop in hallucinations vs GPT-5.4


Episode Timestamps:

00:00 Intro
00:20 NSA uses Anthropic's Mythos despite Pentagon blacklist
01:10 Anthropic launches Claude Design
02:00 Yelp's AI assistant goes full service
02:50 Anthropic investigates Mythos breach
03:40 OpenAI drops GPT-5.5
04:30 Outro

Partner Links
Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: www.theaireport.ai/leaders-launch-guide











Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The AI model that was too dangerous to release just got breached. Anthropic entered the design software market. And OpenAI dropped its biggest model yet, just six weeks after the last one.</p>
<p>This week, the NSA is using Anthropic's Mythos despite the Pentagon blacklisting the company, Claude Design takes on Figma and sends its stock down 7%, Yelp transforms into an agentic consumer app, Mythos gets accessed by an unauthorized Discord group, and OpenAI fires back with GPT-5.5.</p>
<p>If you are a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>NSA uses Anthropic's Mythos Preview despite the Pentagon declaring the company a supply chain risk</li>
  <li>Anthropic launches Claude Design, a prompt-to-prototype design tool that sent Figma stock down 7%</li>
  <li>Yelp's upgraded AI assistant can now book restaurants, doctors, and more in one conversation</li>
  <li>Anthropic investigates unauthorized access to Mythos through a third-party vendor environment</li>
  <li>OpenAI releases GPT-5.5, scoring 88.7% on SWE-bench with a 60% drop in hallucinations vs GPT-5.4</li>
</ul>
<p>Episode Timestamps:</p>
<p>00:00 Intro
00:20 NSA uses Anthropic's Mythos despite Pentagon blacklist
01:10 Anthropic launches Claude Design
02:00 Yelp's AI assistant goes full service
02:50 Anthropic investigates Mythos breach
03:40 OpenAI drops GPT-5.5
04:30 Outro</p>
<p>Partner Links
Subscribe to our free newsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a>
Join the community: <a href="http://www.theaireport.ai/leaders-launch-guide">www.theaireport.ai/leaders-launch-guide</a></p>
<p>








</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>292</itunes:duration>
      <guid isPermaLink="false"><![CDATA[29ee1e04-426d-11f1-8863-03d73d3c6872]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9175135644.mp3?updated=1777317783" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>She Lost Her Job and Built a Business from 2 LinkedIn Posts | Mischa Collins</title>
      <description>Two years ago, Mischa Collins was let go from her marketing manager role at a startup. After months of applying to jobs she was overqualified for and hearing nothing back, she decided to stop playing the victim and take control. She posted about her journey on LinkedIn. It went viral. Then she posted again. That went even more viral. From just two posts, she signed three clients and launched her career as a full-time LinkedIn creator.

Today, Mischa has grown to over 50K followers in just 18 months, runs a ghostwriting agency, coaches founders on personal branding, and is currently living in a "LinkedIn Influencer House" in Mexico with business partners Corey Blumenfeld and Charlie Hills. In this conversation with Liam, she breaks down exactly what's working on LinkedIn right now, why the algorithm has shifted more in the past month than in her entire time posting, and the specific content formats (infographics and cheat sheets) that are massively outperforming everything else. She also shares the real numbers behind her content: how a single post with a text overlay hit 80,000 impressions while the same post without one got just 5,000.

Key Topics Covered


  How getting fired became the best thing that ever happened to her career

  Going from fashion to tech sales to full-time LinkedIn creator

  The 2 LinkedIn posts that went viral and signed her first 3 clients

  Growing from 0 to 50K LinkedIn followers in 18 months

  Why the LinkedIn algorithm has shifted more in the past month than ever before

  Dwell time: the metric that matters most on LinkedIn right now

  Infographics vs lifestyle images: 80K impressions vs 5K from the same creator

  How to run a ghostwriting agency and what clients actually need

  Brand partnerships on LinkedIn: what makes a good campaign vs a bad one

  Platform dependence: why relying on one social platform is risky

  The "LinkedIn Influencer House" in Mexico with Corey Blumenfeld and Charlie Hills

  Building a personal brand while staying authentic

  Why rock bottom is the best place to build from


Episode Timestamps

00:01 - Introduction and the LinkedIn Influencer House in Mexico

02:01 - Origin story: fashion to tech sales to LinkedIn

03:33 - How LinkedIn content landed her marketing manager role

05:02 - Getting let go and the two months of rejection

05:49 - The viral LinkedIn post that launched her solo career

08:00 - Growing to 50K followers: what worked

15:07 - What's working on LinkedIn right now (algorithm shift)

16:36 - The 80K vs 5K impressions experiment

17:41 - AI's impact on LinkedIn content creation

22:00 - Building a ghostwriting agency

27:00 - Niche vs expanding your content topics

31:55 - Platform dependence and branching to Instagram/TikTok

36:00 - The creator economy on LinkedIn

40:00 - Revenue streams: brand deals, coaching, ghostwriting, cohorts

47:03 - Breaking down her income sources

50:00 - Helping brands run better LinkedIn creator campaigns

55:00 - The future of personal branding

01:00:00 - Building a life on your own terms

01:10:34 - Why you don't need to stay in your lane

01:11:06 - Where to find Mischa

Mischa's Socials:

LinkedIn — https://www.linkedin.com/in/mischacollins/

Instagram — @mischabuildsbrands

Partner Links

Book Enterprise Training — https://www.upscaile.com/

Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH













Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 23 Apr 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/8eac7056-3df5-11f1-a2c9-23ccd24f65e4/image/fe904d3afeff99e055ba0e4ccb020f3e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>Two years ago, Mischa Collins was let go from her marketing manager role at a startup. After months of applying to jobs she was overqualified for and hearing nothing back, she decided to stop playing the victim and take control. She posted about her journey on LinkedIn. It went viral. Then she posted again. That went even more viral. From just two posts, she signed three clients and launched her career as a full-time LinkedIn creator.

Today, Mischa has grown to over 50K followers in just 18 months, runs a ghostwriting agency, coaches founders on personal branding, and is currently living in a "LinkedIn Influencer House" in Mexico with business partners Corey Blumenfeld and Charlie Hills. In this conversation with Liam, she breaks down exactly what's working on LinkedIn right now, why the algorithm has shifted more in the past month than in her entire time posting, and the specific content formats (infographics and cheat sheets) that are massively outperforming everything else. She also shares the real numbers behind her content: how a single post with a text overlay hit 80,000 impressions while the same post without one got just 5,000.

Key Topics Covered


  How getting fired became the best thing that ever happened to her career

  Going from fashion to tech sales to full-time LinkedIn creator

  The 2 LinkedIn posts that went viral and signed her first 3 clients

  Growing from 0 to 50K LinkedIn followers in 18 months

  Why the LinkedIn algorithm has shifted more in the past month than ever before

  Dwell time: the metric that matters most on LinkedIn right now

  Infographics vs lifestyle images: 80K impressions vs 5K from the same creator

  How to run a ghostwriting agency and what clients actually need

  Brand partnerships on LinkedIn: what makes a good campaign vs a bad one

  Platform dependence: why relying on one social platform is risky

  The "LinkedIn Influencer House" in Mexico with Corey Blumenfeld and Charlie Hills

  Building a personal brand while staying authentic

  Why rock bottom is the best place to build from


Episode Timestamps

00:01 - Introduction and the LinkedIn Influencer House in Mexico

02:01 - Origin story: fashion to tech sales to LinkedIn

03:33 - How LinkedIn content landed her marketing manager role

05:02 - Getting let go and the two months of rejection

05:49 - The viral LinkedIn post that launched her solo career

08:00 - Growing to 50K followers: what worked

15:07 - What's working on LinkedIn right now (algorithm shift)

16:36 - The 80K vs 5K impressions experiment

17:41 - AI's impact on LinkedIn content creation

22:00 - Building a ghostwriting agency

27:00 - Niche vs expanding your content topics

31:55 - Platform dependence and branching to Instagram/TikTok

36:00 - The creator economy on LinkedIn

40:00 - Revenue streams: brand deals, coaching, ghostwriting, cohorts

47:03 - Breaking down her income sources

50:00 - Helping brands run better LinkedIn creator campaigns

55:00 - The future of personal branding

01:00:00 - Building a life on your own terms

01:10:34 - Why you don't need to stay in your lane

01:11:06 - Where to find Mischa

Mischa's Socials:

LinkedIn — https://www.linkedin.com/in/mischacollins/

Instagram — @mischabuildsbrands

Partner Links

Book Enterprise Training — https://www.upscaile.com/

Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH













Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Two years ago, Mischa Collins was let go from her marketing manager role at a startup. After months of applying to jobs she was overqualified for and hearing nothing back, she decided to stop playing the victim and take control. She posted about her journey on LinkedIn. It went viral. Then she posted again. That went even more viral. From just two posts, she signed three clients and launched her career as a full-time LinkedIn creator.</p>
<p>Today, Mischa has grown to over 50K followers in just 18 months, runs a ghostwriting agency, coaches founders on personal branding, and is currently living in a "LinkedIn Influencer House" in Mexico with business partners Corey Blumenfeld and Charlie Hills. In this conversation with Liam, she breaks down exactly what's working on LinkedIn right now, why the algorithm has shifted more in the past month than in her entire time posting, and the specific content formats (infographics and cheat sheets) that are massively outperforming everything else. She also shares the real numbers behind her content: how a single post with a text overlay hit 80,000 impressions while the same post without one got just 5,000.</p>
<p>Key Topics Covered</p>
<ul>
  <li>How getting fired became the best thing that ever happened to her career</li>
  <li>Going from fashion to tech sales to full-time LinkedIn creator</li>
  <li>The 2 LinkedIn posts that went viral and signed her first 3 clients</li>
  <li>Growing from 0 to 50K LinkedIn followers in 18 months</li>
  <li>Why the LinkedIn algorithm has shifted more in the past month than ever before</li>
  <li>Dwell time: the metric that matters most on LinkedIn right now</li>
  <li>Infographics vs lifestyle images: 80K impressions vs 5K from the same creator</li>
  <li>How to run a ghostwriting agency and what clients actually need</li>
  <li>Brand partnerships on LinkedIn: what makes a good campaign vs a bad one</li>
  <li>Platform dependence: why relying on one social platform is risky</li>
  <li>The "LinkedIn Influencer House" in Mexico with Corey Blumenfeld and Charlie Hills</li>
  <li>Building a personal brand while staying authentic</li>
  <li>Why rock bottom is the best place to build from</li>
</ul>
<p><em>Episode Timestamps</em></p>
<p>00:01 - Introduction and the LinkedIn Influencer House in Mexico</p>
<p>02:01 - Origin story: fashion to tech sales to LinkedIn</p>
<p>03:33 - How LinkedIn content landed her marketing manager role</p>
<p>05:02 - Getting let go and the two months of rejection</p>
<p>05:49 - The viral LinkedIn post that launched her solo career</p>
<p>08:00 - Growing to 50K followers: what worked</p>
<p>15:07 - What's working on LinkedIn right now (algorithm shift)</p>
<p>16:36 - The 80K vs 5K impressions experiment</p>
<p>17:41 - AI's impact on LinkedIn content creation</p>
<p>22:00 - Building a ghostwriting agency</p>
<p>27:00 - Niche vs expanding your content topics</p>
<p>31:55 - Platform dependence and branching to Instagram/TikTok</p>
<p>36:00 - The creator economy on LinkedIn</p>
<p>40:00 - Revenue streams: brand deals, coaching, ghostwriting, cohorts</p>
<p>47:03 - Breaking down her income sources</p>
<p>50:00 - Helping brands run better LinkedIn creator campaigns</p>
<p>55:00 - The future of personal branding</p>
<p>01:00:00 - Building a life on your own terms</p>
<p>01:10:34 - Why you don't need to stay in your lane</p>
<p>01:11:06 - Where to find Mischa</p>
<p>Mischa's Socials:</p>
<p>LinkedIn — <a href="https://www.linkedin.com/in/mischacollins/">https://www.linkedin.com/in/mischacollins/</a></p>
<p>Instagram — @mischabuildsbrands</p>
<p>Partner Links</p>
<p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p>
<p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p>Get free AI resources: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p>
<p>










</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4384</itunes:duration>
      <guid isPermaLink="false"><![CDATA[8eac7056-3df5-11f1-a2c9-23ccd24f65e4]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7214436991.mp3?updated=1776827289" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>$30B Quarter + OpenAI's $852B Doubt | AI News in 5</title>
      <description>$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival.

If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding

  OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter

  Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code

  Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others

  Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack



Timestamps:

00:00 Intro
00:31 Claude Opus 4.7 takes the coding crown
01:26 OpenAI investors get cold feet
02:18 Snap cuts 1,000 jobs, blames AI
02:56 Project Glasswing: Securing the world’s critical software
03:49 NVIDIA invests 5 billion into Intel
04:41 Outro

Partner Links
Book Enterprise Training: https://www.upscaile.com/

Subscribe to our free newsletter: https://www.theaireport.ai/subscribe

Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH













Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 21 Apr 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/bba9c456-3cfa-11f1-9d63-cbcfe3f270aa/image/c6729fb5e769bb9e45a483eb4109d701.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival.

If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.

Stories Covered This Week:


  Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding

  OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter

  Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code

  Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others

  Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack



Timestamps:

00:00 Intro
00:31 Claude Opus 4.7 takes the coding crown
01:26 OpenAI investors get cold feet
02:18 Snap cuts 1,000 jobs, blames AI
02:56 Project Glasswing: Securing the world’s critical software
03:49 NVIDIA invests 5 billion into Intel
04:41 Outro

Partner Links
Book Enterprise Training: https://www.upscaile.com/

Subscribe to our free newsletter: https://www.theaireport.ai/subscribe

Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH













Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival.</p>
<p>If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding</li>
  <li>OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter</li>
  <li>Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code</li>
  <li>Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others</li>
  <li>Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack
</li>
</ul>
<p>Timestamps:</p>
<p>00:00 Intro
00:31 Claude Opus 4.7 takes the coding crown
01:26 OpenAI investors get cold feet
02:18 Snap cuts 1,000 jobs, blames AI
02:56 Project Glasswing: Securing the world’s critical software
03:49 NVIDIA invests 5 billion into Intel
04:41 Outro</p>
<p>Partner Links
Book Enterprise Training: <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p>
<p>Subscribe to our free newsletter: <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p>Free AI Tool Stack: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p>
<p>










</p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>320</itunes:duration>
      <guid isPermaLink="false"><![CDATA[bba9c456-3cfa-11f1-9d63-cbcfe3f270aa]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3556621115.mp3?updated=1776733731" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>$70K/Month by Selling to AI Agents Instead of Humans | Andrew Warner</title>
      <description>In this episode, Andrew Warner, founder of Mixergy, host of over 2,500 founder interviews, and creator of The Next New Thing, reveals why the most exciting business opportunity in AI right now isn't building another chatbot or SaaS tool. It's building for AI agents as customers. Andrew shares how one founder went from $3K to $70K/month by simply pivoting his social media tool to serve AI agents instead of humans, why Jason Fried at Basecamp is now adding agent-first features, and what this means for every entrepreneur and operator watching the AI wave.

Andrew breaks down his own AI tech stack (Claude Code, VS Code, Atlas Browser, OpenClaw), why he keeps a separate laptop just for AI agent work, and the brutal honesty about how much time we're all spending "playing" with AI vs. actually building revenue-generating products. He and Liam go deep on the "SaaSpocalypse" debate, whether intelligence becoming a utility makes audience and distribution the only real moats, and why the agent-to-agent economy, where software sells to other software, might be the biggest shift since mobile.

Key Topics Covered


  How Andrew built a $30M/year email newsletter business in his 20s and what he learned about monetization

  The origin story of Zapier: Andrew was their first paying customer before they even had a product

  Why AI's "shiny object syndrome" is the biggest trap for builders right now

  Andrew's daily AI tech stack: Claude Code, VS Code, Atlas Browser, Claude Desktop, and WhisperFlow

  How Postiz went from $3K to $70K/month by becoming the social media tool for AI agents

  The agent-to-agent economy: why your next best customer might not be human

  Is SaaS dead? Andrew's nuanced take after 2,500+ founder interviews

  Why audience and platform stickiness are the only real moats when intelligence becomes a utility

  Liam's Claude automation workflows: auto-generating guest research, marketing assets in 5 minutes

  Vibe video editing and the future of AI-powered content production


Episode Timestamps

00:00 - Introduction and welcome

00:28 - Andrew's background: building a $30M email newsletter empire

02:00 - Selling the business in his mid-20s and traveling the world

06:19 - Starting Mixergy and doing 2,500+ founder interviews

09:39 - The founders Andrew admires most: Wade Foster and Zapier's origin story

12:07 - How solving problems for free changes your career

12:51 - AI's shiny object syndrome: building for fun vs. solving real problems

14:36 - Andrew's mission: helping AI builders find real revenue

17:45 - Andrew's AI tech stack: VS Code, Claude Code, Atlas Browser, WhisperFlow

22:32 - The ideal future of work with AI agents

24:31 - What's most impressive and most underwhelming about AI right now

25:20 - Building a social listening tool with AI

27:08 - The SaaSpocalypse debate: can you vibe-code your own tools?

36:12 - Postiz: from $3K to $70K/month by selling to AI agents

38:17 - The agent-to-agent marketplace future

40:06 - Liam's Claude automation: auto-generating guest research briefs

43:19 - Real-time AI workflows with WhisperFlow and Claude

48:02 - Why investing time in AI compounds exponentially

50:05 - Creating marketing assets in 5 minutes with Claude

51:27 - Vibe video editing: the next frontier for content creators

53:42 - Thought experiment: what's defensible when intelligence is a utility?

55:39 - The bread maker analogy: why SaaS won't actually die

58:01 - What makes software defensible: switching costs and stickiness

01:00:47 - Postiz deep-dive: the agentic social media scheduling tool

01:03:26 - Agent-first businesses: newsletters, chat apps, and tools built for agents

01:08:51 - Where to find Andrew and closing thoughts

Andrew's Socials:

LinkedIn — https://www.linkedin.com/in/andrewwarner/

Website — https://thenextnewthing.ai

Partner Links

Book Enterprise Training — https://www.upscaile.com/

Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 16 Apr 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/b0fd3cf8-3774-11f1-88d3-1f448a8f937c/image/1591e44c242540cc77ee576e3564612e.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>In this episode, Andrew Warner, founder of Mixergy, host of over 2,500 founder interviews, and creator of The Next New Thing, reveals why the most exciting business opportunity in AI right now isn't building another chatbot or SaaS tool. It's building for AI agents as customers. Andrew shares how one founder went from $3K to $70K/month by simply pivoting his social media tool to serve AI agents instead of humans, why Jason Fried at Basecamp is now adding agent-first features, and what this means for every entrepreneur and operator watching the AI wave.

Andrew breaks down his own AI tech stack (Claude Code, VS Code, Atlas Browser, OpenClaw), why he keeps a separate laptop just for AI agent work, and the brutal honesty about how much time we're all spending "playing" with AI vs. actually building revenue-generating products. He and Liam go deep on the "SaaSpocalypse" debate, whether intelligence becoming a utility makes audience and distribution the only real moats, and why the agent-to-agent economy, where software sells to other software, might be the biggest shift since mobile.

Key Topics Covered


  How Andrew built a $30M/year email newsletter business in his 20s and what he learned about monetization

  The origin story of Zapier: Andrew was their first paying customer before they even had a product

  Why AI's "shiny object syndrome" is the biggest trap for builders right now

  Andrew's daily AI tech stack: Claude Code, VS Code, Atlas Browser, Claude Desktop, and WhisperFlow

  How Postiz went from $3K to $70K/month by becoming the social media tool for AI agents

  The agent-to-agent economy: why your next best customer might not be human

  Is SaaS dead? Andrew's nuanced take after 2,500+ founder interviews

  Why audience and platform stickiness are the only real moats when intelligence becomes a utility

  Liam's Claude automation workflows: auto-generating guest research, marketing assets in 5 minutes

  Vibe video editing and the future of AI-powered content production


Episode Timestamps

00:00 - Introduction and welcome

00:28 - Andrew's background: building a $30M email newsletter empire

02:00 - Selling the business in his mid-20s and traveling the world

06:19 - Starting Mixergy and doing 2,500+ founder interviews

09:39 - The founders Andrew admires most: Wade Foster and Zapier's origin story

12:07 - How solving problems for free changes your career

12:51 - AI's shiny object syndrome: building for fun vs. solving real problems

14:36 - Andrew's mission: helping AI builders find real revenue

17:45 - Andrew's AI tech stack: VS Code, Claude Code, Atlas Browser, WhisperFlow

22:32 - The ideal future of work with AI agents

24:31 - What's most impressive and most underwhelming about AI right now

25:20 - Building a social listening tool with AI

27:08 - The SaaSpocalypse debate: can you vibe-code your own tools?

36:12 - Postiz: from $3K to $70K/month by selling to AI agents

38:17 - The agent-to-agent marketplace future

40:06 - Liam's Claude automation: auto-generating guest research briefs

43:19 - Real-time AI workflows with WhisperFlow and Claude

48:02 - Why investing time in AI compounds exponentially

50:05 - Creating marketing assets in 5 minutes with Claude

51:27 - Vibe video editing: the next frontier for content creators

53:42 - Thought experiment: what's defensible when intelligence is a utility?

55:39 - The bread maker analogy: why SaaS won't actually die

58:01 - What makes software defensible: switching costs and stickiness

01:00:47 - Postiz deep-dive: the agentic social media scheduling tool

01:03:26 - Agent-first businesses: newsletters, chat apps, and tools built for agents

01:08:51 - Where to find Andrew and closing thoughts

Andrew's Socials:

LinkedIn — https://www.linkedin.com/in/andrewwarner/

Website — https://thenextnewthing.ai

Partner Links

Book Enterprise Training — https://www.upscaile.com/

Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Andrew Warner, founder of Mixergy, host of over 2,500 founder interviews, and creator of The Next New Thing, reveals why the most exciting business opportunity in AI right now isn't building another chatbot or SaaS tool. It's building for AI agents as customers. Andrew shares how one founder went from $3K to $70K/month by simply pivoting his social media tool to serve AI agents instead of humans, why Jason Fried at Basecamp is now adding agent-first features, and what this means for every entrepreneur and operator watching the AI wave.</p>
<p>Andrew breaks down his own AI tech stack (Claude Code, VS Code, Atlas Browser, OpenClaw), why he keeps a separate laptop just for AI agent work, and the brutal honesty about how much time we're all spending "playing" with AI vs. actually building revenue-generating products. He and Liam go deep on the "SaaSpocalypse" debate, whether intelligence becoming a utility makes audience and distribution the only real moats, and why the agent-to-agent economy, where software sells to other software, might be the biggest shift since mobile.</p>
<p>Key Topics Covered</p>
<ul>
  <li>How Andrew built a $30M/year email newsletter business in his 20s and what he learned about monetization</li>
  <li>The origin story of Zapier: Andrew was their first paying customer before they even had a product</li>
  <li>Why AI's "shiny object syndrome" is the biggest trap for builders right now</li>
  <li>Andrew's daily AI tech stack: Claude Code, VS Code, Atlas Browser, Claude Desktop, and WhisperFlow</li>
  <li>How Postiz went from $3K to $70K/month by becoming the social media tool for AI agents</li>
  <li>The agent-to-agent economy: why your next best customer might not be human</li>
  <li>Is SaaS dead? Andrew's nuanced take after 2,500+ founder interviews</li>
  <li>Why audience and platform stickiness are the only real moats when intelligence becomes a utility</li>
  <li>Liam's Claude automation workflows: auto-generating guest research, marketing assets in 5 minutes</li>
  <li>Vibe video editing and the future of AI-powered content production</li>
</ul>
<p><em>Episode Timestamps</em></p>
<p>00:00 - Introduction and welcome</p>
<p>00:28 - Andrew's background: building a $30M email newsletter empire</p>
<p>02:00 - Selling the business in his mid-20s and traveling the world</p>
<p>06:19 - Starting Mixergy and doing 2,500+ founder interviews</p>
<p>09:39 - The founders Andrew admires most: Wade Foster and Zapier's origin story</p>
<p>12:07 - How solving problems for free changes your career</p>
<p>12:51 - AI's shiny object syndrome: building for fun vs. solving real problems</p>
<p>14:36 - Andrew's mission: helping AI builders find real revenue</p>
<p>17:45 - Andrew's AI tech stack: VS Code, Claude Code, Atlas Browser, WhisperFlow</p>
<p>22:32 - The ideal future of work with AI agents</p>
<p>24:31 - What's most impressive and most underwhelming about AI right now</p>
<p>25:20 - Building a social listening tool with AI</p>
<p>27:08 - The SaaSpocalypse debate: can you vibe-code your own tools?</p>
<p>36:12 - Postiz: from $3K to $70K/month by selling to AI agents</p>
<p>38:17 - The agent-to-agent marketplace future</p>
<p>40:06 - Liam's Claude automation: auto-generating guest research briefs</p>
<p>43:19 - Real-time AI workflows with WhisperFlow and Claude</p>
<p>48:02 - Why investing time in AI compounds exponentially</p>
<p>50:05 - Creating marketing assets in 5 minutes with Claude</p>
<p>51:27 - Vibe video editing: the next frontier for content creators</p>
<p>53:42 - Thought experiment: what's defensible when intelligence is a utility?</p>
<p>55:39 - The bread maker analogy: why SaaS won't actually die</p>
<p>58:01 - What makes software defensible: switching costs and stickiness</p>
<p>01:00:47 - Postiz deep-dive: the agentic social media scheduling tool</p>
<p>01:03:26 - Agent-first businesses: newsletters, chat apps, and tools built for agents</p>
<p>01:08:51 - Where to find Andrew and closing thoughts</p>
<p>Andrew's Socials:</p>
<p>LinkedIn — <a href="https://www.linkedin.com/in/andrewwarner/">https://www.linkedin.com/in/andrewwarner/</a></p>
<p>Website — <a href="https://thenextnewthing.ai">https://thenextnewthing.ai</a></p>
<p>Partner Links</p>
<p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p>
<p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p>Get free AI resources: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3789</itunes:duration>
      <guid isPermaLink="false"><![CDATA[b0fd3cf8-3774-11f1-88d3-1f448a8f937c]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8999256923.mp3?updated=1776112407" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Meta Goes Closed-Source + $1.75T SpaceX IPO | AI News in 5</title>
      <description>$1.75 trillion SpaceX IPO, Meta's closed-source Muse Spark, Anthropic's restricted Claude Mythos, OpenAI's four-day work week proposal, and Google's open-source Gemma 4. This week, the biggest companies in AI are making very different bets on power, access, and what happens next.

AI News in 5 is your fast, no-fluff weekly AI news roundup for founders, operators, and executives who need to stay current. Every Tuesday, in 5 minutes.

Stories Covered This Week:


  Meta launches Muse Spark, its first closed-source AI model under Alexandr Wang's $14B deal

  Anthropic restricts Claude Mythos to 50 partners via Project Glasswing over cybersecurity concerns

  OpenAI publishes 13-page policy calling for 32-hour work weeks and a "robot tax"

  SpaceX files for $1.75T IPO after $1.25T merger with xAI to build orbital data centers

  Google releases Gemma 4, open-source models running on a single laptop


Timestamps:

00:00 Intro

00:25 Meta launches Muse Spark, goes closed-source

01:15 Anthropic holds back Claude Mythos over hacking risks

02:10 OpenAI proposes four-day work week and robot tax

03:05 SpaceX files for $1.75 trillion IPO

03:55 Google releases Gemma 4 open-source

04:45 Outro

Partner Links

Book Enterprise Training: https://www.upscaile.com/

Subscribe to our free newsletter: https://www.theaireport.ai/subscribe

Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 14 Apr 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0cdf7e68-3771-11f1-b4c6-d3806be89d3a/image/45b351e3b962e9a4bb7519c5c7d2e0fe.png?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle></itunes:subtitle>
      <itunes:summary>$1.75 trillion SpaceX IPO, Meta's closed-source Muse Spark, Anthropic's restricted Claude Mythos, OpenAI's four-day work week proposal, and Google's open-source Gemma 4. This week, the biggest companies in AI are making very different bets on power, access, and what happens next.

AI News in 5 is your fast, no-fluff weekly AI news roundup for founders, operators, and executives who need to stay current. Every Tuesday, in 5 minutes.

Stories Covered This Week:


  Meta launches Muse Spark, its first closed-source AI model under Alexandr Wang's $14B deal

  Anthropic restricts Claude Mythos to 50 partners via Project Glasswing over cybersecurity concerns

  OpenAI publishes 13-page policy calling for 32-hour work weeks and a "robot tax"

  SpaceX files for $1.75T IPO after $1.25T merger with xAI to build orbital data centers

  Google releases Gemma 4, open-source models running on a single laptop


Timestamps:

00:00 Intro

00:25 Meta launches Muse Spark, goes closed-source

01:15 Anthropic holds back Claude Mythos over hacking risks

02:10 OpenAI proposes four-day work week and robot tax

03:05 SpaceX files for $1.75 trillion IPO

03:55 Google releases Gemma 4 open-source

04:45 Outro

Partner Links

Book Enterprise Training: https://www.upscaile.com/

Subscribe to our free newsletter: https://www.theaireport.ai/subscribe

Free AI Tool Stack: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>$1.75 trillion SpaceX IPO, Meta's closed-source Muse Spark, Anthropic's restricted Claude Mythos, OpenAI's four-day work week proposal, and Google's open-source Gemma 4. This week, the biggest companies in AI are making very different bets on power, access, and what happens next.</p>
<p>AI News in 5 is your fast, no-fluff weekly AI news roundup for founders, operators, and executives who need to stay current. Every Tuesday, in 5 minutes.</p>
<p>Stories Covered This Week:</p>
<ul>
  <li>Meta launches Muse Spark, its first closed-source AI model under Alexandr Wang's $14B deal</li>
  <li>Anthropic restricts Claude Mythos to 50 partners via Project Glasswing over cybersecurity concerns</li>
  <li>OpenAI publishes 13-page policy calling for 32-hour work weeks and a "robot tax"</li>
  <li>SpaceX files for $1.75T IPO after $1.25T merger with xAI to build orbital data centers</li>
  <li>Google releases Gemma 4, open-source models running on a single laptop</li>
</ul>
<p>Timestamps:</p>
<p>00:00 Intro</p>
<p>00:25 Meta launches Muse Spark, goes closed-source</p>
<p>01:15 Anthropic holds back Claude Mythos over hacking risks</p>
<p>02:10 OpenAI proposes four-day work week and robot tax</p>
<p>03:05 SpaceX files for $1.75 trillion IPO</p>
<p>03:55 Google releases Gemma 4 open-source</p>
<p>04:45 Outro</p>
<p>Partner Links</p>
<p>Book Enterprise Training: <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p>
<p>Subscribe to our free newsletter: <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p>Free AI Tool Stack: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p><p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>287</itunes:duration>
      <guid isPermaLink="false"><![CDATA[0cdf7e68-3771-11f1-b4c6-d3806be89d3a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7974436389.mp3?updated=1776110525" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why 95% of AI Pilots Produce Zero ROI | Yasmeen Ahmad, Google Cloud</title>
      <description>In this episode, Yasmeen Ahmad, Managing Director of Product Management for Data &amp; AI Cloud at Google Cloud, reveals why 80–90% of enterprise data is "dark" and untouched — and how Google Cloud is building the tools to finally unlock it. Yasmeen shares how BigQuery's new Knowledge Engine captures the invisible business context that human analysts have always carried in their heads, and why this semantic layer is the real unlock for enterprise AI in 2026.
Yasmeen breaks down how enterprises are scaling from 50 to 2,000 autonomous AI agents, why continuous evaluation (not unit testing) is the only way to keep agents trustworthy, and what Google learned from seeing 50% of its own code now written by AI. She also explains why 95% of AI pilots produce zero measurable ROI — and why companies that partner with a platform like Google Cloud see dramatically different results. Plus, her contrarian take on governance: it's not the brake, it's what lets you drive 150 mph into the bend with confidence.
Key Topics Covered

Why 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlock

How BigQuery's Knowledge Engine captures the invisible business context analysts carry in their heads

The semantic layer: why the next big unlock is context, not just more powerful models

How enterprises are scaling from 50 to 2,000 autonomous AI agents

Intent-driven agentic AI: giving agents outcomes instead of step-by-step instructions

Why continuous evaluation is replacing traditional unit testing for AI agents

Google's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gains

Why 95% of AI pilots produce zero ROI and what changes that outcome

AI governance as an accelerator — the "brakes that let you drive 150 mph" framework

Why culture and founder mentality matter more than technology budget for AI success

Episode Timestamps
00:00 - Introduction and welcome
00:50 - Being Scottish in Silicon Valley and the power of community
03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone
06:20 - What makes data fascinating: the hidden stories inside numbers
07:48 - Why data is the lifeblood of enterprise AI
10:19 - 80–90% of enterprise data is "dark" and untouched
12:59 - What BigQuery actually does (explained simply)
14:50 - The invisible work: knowledge layers and business semantics
17:38 - The agentic AI moment: agents that think, plan, and execute
20:41 - From 50 to 2,000 autonomous agents inside enterprises
22:07 - Why you can't evaluate AI agents like traditional software
25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains
30:21 - Why 95% of AI pilots produce zero ROI
35:37 - Governance as a speed accelerator, not a brake
39:53 - Who's best poised to win: culture over budget
45:59 - Why do you do what you do?
Yasmeen's Socials:
LinkedIn — https://www.linkedin.com/in/yasmeenahmaduk/
Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 09 Apr 2026 20:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/ffdbec6e-34dd-11f1-8875-eb0645e3dca0/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Yasmeen Ahmad, Managing Director of Product Management for Data &amp; AI Cloud at Google Cloud, reveals why 80–90% of enterprise data is "dark" and untouched — and how Google Cloud is building the tools to finally unlock it. Yasmeen shares how BigQuery's new Knowledge Engine captures the invisible business context that human analysts have always carried in their heads, and why this semantic layer is the real unlock for enterprise AI in 2026.
Yasmeen breaks down how enterprises are scaling from 50 to 2,000 autonomous AI agents, why continuous evaluation (not unit testing) is the only way to keep agents trustworthy, and what Google learned from seeing 50% of its own code now written by AI. She also explains why 95% of AI pilots produce zero measurable ROI — and why companies that partner with a platform like Google Cloud see dramatically different results. Plus, her contrarian take on governance: it's not the brake, it's what lets you drive 150 mph into the bend with confidence.
Key Topics Covered

Why 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlock

How BigQuery's Knowledge Engine captures the invisible business context analysts carry in their heads

The semantic layer: why the next big unlock is context, not just more powerful models

How enterprises are scaling from 50 to 2,000 autonomous AI agents

Intent-driven agentic AI: giving agents outcomes instead of step-by-step instructions

Why continuous evaluation is replacing traditional unit testing for AI agents

Google's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gains

Why 95% of AI pilots produce zero ROI and what changes that outcome

AI governance as an accelerator — the "brakes that let you drive 150 mph" framework

Why culture and founder mentality matter more than technology budget for AI success

Episode Timestamps
00:00 - Introduction and welcome
00:50 - Being Scottish in Silicon Valley and the power of community
03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone
06:20 - What makes data fascinating: the hidden stories inside numbers
07:48 - Why data is the lifeblood of enterprise AI
10:19 - 80–90% of enterprise data is "dark" and untouched
12:59 - What BigQuery actually does (explained simply)
14:50 - The invisible work: knowledge layers and business semantics
17:38 - The agentic AI moment: agents that think, plan, and execute
20:41 - From 50 to 2,000 autonomous agents inside enterprises
22:07 - Why you can't evaluate AI agents like traditional software
25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains
30:21 - Why 95% of AI pilots produce zero ROI
35:37 - Governance as a speed accelerator, not a brake
39:53 - Who's best poised to win: culture over budget
45:59 - Why do you do what you do?
Yasmeen's Socials:
LinkedIn — https://www.linkedin.com/in/yasmeenahmaduk/
Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Yasmeen Ahmad, Managing Director of Product Management for Data &amp; AI Cloud at Google Cloud, reveals why 80–90% of enterprise data is "dark" and untouched — and how Google Cloud is building the tools to finally unlock it. Yasmeen shares how BigQuery's new Knowledge Engine captures the invisible business context that human analysts have always carried in their heads, and why this semantic layer is the real unlock for enterprise AI in 2026.</p><p>Yasmeen breaks down how enterprises are scaling from 50 to 2,000 autonomous AI agents, why continuous evaluation (not unit testing) is the only way to keep agents trustworthy, and what Google learned from seeing 50% of its own code now written by AI. She also explains why 95% of AI pilots produce zero measurable ROI — and why companies that partner with a platform like Google Cloud see dramatically different results. Plus, her contrarian take on governance: it's not the brake, it's what lets you drive 150 mph into the bend with confidence.</p><p>Key Topics Covered</p><ul>
<li>Why 80–90% of enterprise data is "dark" unstructured data that GenAI can finally unlock</li>
<li>How BigQuery's Knowledge Engine captures the invisible business context analysts carry in their heads</li>
<li>The semantic layer: why the next big unlock is context, not just more powerful models</li>
<li>How enterprises are scaling from 50 to 2,000 autonomous AI agents</li>
<li>Intent-driven agentic AI: giving agents outcomes instead of step-by-step instructions</li>
<li>Why continuous evaluation is replacing traditional unit testing for AI agents</li>
<li>Google's internal AI adoption: 50% of code written by AI, 10% engineering efficiency gains</li>
<li>Why 95% of AI pilots produce zero ROI and what changes that outcome</li>
<li>AI governance as an accelerator — the "brakes that let you drive 150 mph" framework</li>
<li>Why culture and founder mentality matter more than technology budget for AI success</li>
</ul><p><em>Episode Timestamps</em></p><p>00:00 - Introduction and welcome</p><p>00:50 - Being Scottish in Silicon Valley and the power of community</p><p>03:13 - The career thread: curiosity, pivots, and getting outside your comfort zone</p><p>06:20 - What makes data fascinating: the hidden stories inside numbers</p><p>07:48 - Why data is the lifeblood of enterprise AI</p><p>10:19 - 80–90% of enterprise data is "dark" and untouched</p><p>12:59 - What BigQuery actually does (explained simply)</p><p>14:50 - The invisible work: knowledge layers and business semantics</p><p>17:38 - The agentic AI moment: agents that think, plan, and execute</p><p>20:41 - From 50 to 2,000 autonomous agents inside enterprises</p><p>22:07 - Why you can't evaluate AI agents like traditional software</p><p>25:46 - Signals of AI readiness: Google's 50% AI-written code and Honeywell's 30% efficiency gains</p><p>30:21 - Why 95% of AI pilots produce zero ROI</p><p>35:37 - Governance as a speed accelerator, not a brake</p><p>39:53 - Who's best poised to win: culture over budget</p><p>45:59 - Why do you do what you do?</p><p>Yasmeen's Socials:</p><p>LinkedIn — <a href="https://www.linkedin.com/in/yasmeenahmaduk/">https://www.linkedin.com/in/yasmeenahmaduk/</a></p><p>Partner Links</p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3040</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4d518076-7e35-437c-a0f2-e0d995d87db9]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1207658081.mp3?updated=1776260783" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The $52 Billion AI Agent Revolution No One Is Talking About</title>
      <description>In this episode, we break down the "Agentic Brain" — the architecture behind AI agents that can think, plan, and execute multi-step workflows with minimal human oversight — and why the agentic AI market is about to explode from $7.8 billion to over $52 billion by 2030. We reveal how the smartest enterprises are already deploying autonomous agents that handle everything from customer service to internal operations, and why only 14% of companies have production-ready agentic solutions despite all the hype.
We go deep on what "bounded autonomy" actually means in practice, how multi-agent systems work (inquiries surged 1,445% in just one year), and why Gartner predicts 40% of enterprise apps will embed AI agents by the end of 2026. We also cover the real-world examples of companies using agents to handle 80% of customer service autonomously, the difference between "agentic AI" and a chatbot with extra steps, and what operators and executives need to understand before deploying agents inside their organizations.
Key Topics Covered

What the "Agentic Brain" is and how it differs from traditional chatbots and copilots

Why the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030

How multi-agent systems work: planning, reasoning, tool use, and memory

Why only 14% of companies have production-ready agentic solutions despite massive investment

The concept of "bounded autonomy" and why it matters for enterprise deployments

How some companies are already using AI agents to handle 80% of customer service autonomously

Why multi-agent system inquiries surged 1,445% in one year

Gartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026

The difference between real agentic AI and hype — how to tell what's actually production-ready

What executives and operators need to know before deploying AI agents in their organizations

Episode Timestamps
00:00 - Introduction and meet the Agentic Brain team
00:39 - Today's agenda: three practical AI agents
01:09 - Agent 1: Personalized learning agent
03:05 - How the learning agent works
09:25 - Live demo: testing the learning agent
16:50 - Future of personalized learning with AI
24:51 - Agent 2: Sales analysis agent
28:31 - Demo: Sales performance dashboard
32:41 - Call quality and feedback analysis
46:18 - Real-world impact: proactive team management
49:26 - Agent 3: Customer service agent
50:52 - Multi-agent systems and scaling
78:55 - Closing remarks and thanks
Partner Links
Work with Agentic Brain — https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 02 Apr 2026 20:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0054a96a-34de-11f1-8875-1fdf183041fa/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, we break down the "Agentic Brain" — the architecture behind AI agents that can think, plan, and execute multi-step workflows with minimal human oversight — and why the agentic AI market is about to explode from $7.8 billion to over $52 billion by 2030. We reveal how the smartest enterprises are already deploying autonomous agents that handle everything from customer service to internal operations, and why only 14% of companies have production-ready agentic solutions despite all the hype.
We go deep on what "bounded autonomy" actually means in practice, how multi-agent systems work (inquiries surged 1,445% in just one year), and why Gartner predicts 40% of enterprise apps will embed AI agents by the end of 2026. We also cover the real-world examples of companies using agents to handle 80% of customer service autonomously, the difference between "agentic AI" and a chatbot with extra steps, and what operators and executives need to understand before deploying agents inside their organizations.
Key Topics Covered

What the "Agentic Brain" is and how it differs from traditional chatbots and copilots

Why the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030

How multi-agent systems work: planning, reasoning, tool use, and memory

Why only 14% of companies have production-ready agentic solutions despite massive investment

The concept of "bounded autonomy" and why it matters for enterprise deployments

How some companies are already using AI agents to handle 80% of customer service autonomously

Why multi-agent system inquiries surged 1,445% in one year

Gartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026

The difference between real agentic AI and hype — how to tell what's actually production-ready

What executives and operators need to know before deploying AI agents in their organizations

Episode Timestamps
00:00 - Introduction and meet the Agentic Brain team
00:39 - Today's agenda: three practical AI agents
01:09 - Agent 1: Personalized learning agent
03:05 - How the learning agent works
09:25 - Live demo: testing the learning agent
16:50 - Future of personalized learning with AI
24:51 - Agent 2: Sales analysis agent
28:31 - Demo: Sales performance dashboard
32:41 - Call quality and feedback analysis
46:18 - Real-world impact: proactive team management
49:26 - Agent 3: Customer service agent
50:52 - Multi-agent systems and scaling
78:55 - Closing remarks and thanks
Partner Links
Work with Agentic Brain — https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, we break down the "Agentic Brain" — the architecture behind AI agents that can think, plan, and execute multi-step workflows with minimal human oversight — and why the agentic AI market is about to explode from $7.8 billion to over $52 billion by 2030. We reveal how the smartest enterprises are already deploying autonomous agents that handle everything from customer service to internal operations, and why only 14% of companies have production-ready agentic solutions despite all the hype.</p><p>We go deep on what "bounded autonomy" actually means in practice, how multi-agent systems work (inquiries surged 1,445% in just one year), and why Gartner predicts 40% of enterprise apps will embed AI agents by the end of 2026. We also cover the real-world examples of companies using agents to handle 80% of customer service autonomously, the difference between "agentic AI" and a chatbot with extra steps, and what operators and executives need to understand before deploying agents inside their organizations.</p><p>Key Topics Covered</p><ul>
<li>What the "Agentic Brain" is and how it differs from traditional chatbots and copilots</li>
<li>Why the agentic AI market is projected to grow from $7.8 billion to $52 billion by 2030</li>
<li>How multi-agent systems work: planning, reasoning, tool use, and memory</li>
<li>Why only 14% of companies have production-ready agentic solutions despite massive investment</li>
<li>The concept of "bounded autonomy" and why it matters for enterprise deployments</li>
<li>How some companies are already using AI agents to handle 80% of customer service autonomously</li>
<li>Why multi-agent system inquiries surged 1,445% in one year</li>
<li>Gartner's prediction that 40% of enterprise apps will embed AI agents by end of 2026</li>
<li>The difference between real agentic AI and hype — how to tell what's actually production-ready</li>
<li>What executives and operators need to know before deploying AI agents in their organizations</li>
</ul><p><em>Episode Timestamps</em></p><p>00:00 - Introduction and meet the Agentic Brain team</p><p>00:39 - Today's agenda: three practical AI agents</p><p>01:09 - Agent 1: Personalized learning agent</p><p>03:05 - How the learning agent works</p><p>09:25 - Live demo: testing the learning agent</p><p>16:50 - Future of personalized learning with AI</p><p>24:51 - Agent 2: Sales analysis agent</p><p>28:31 - Demo: Sales performance dashboard</p><p>32:41 - Call quality and feedback analysis</p><p>46:18 - Real-world impact: proactive team management</p><p>49:26 - Agent 3: Customer service agent</p><p>50:52 - Multi-agent systems and scaling</p><p>78:55 - Closing remarks and thanks</p><p>Partner Links</p><p>Work with Agentic Brain — <a href="https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99">https://cal.com/forms/44f75adf-4741-4c5e-88d5-3249592ada99</a></p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4928</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c276a431-ac16-4a59-ac8b-49169ca2ca51]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1917413396.mp3?updated=1776261027" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>OpenAI Kills Sora + Amazon's $50B Bet</title>
      <description>This week on AI News in 5: OpenAI kills Sora just six months after launch — blindsiding Disney and losing a billion-dollar deal. Amazon drops $50 billion on OpenAI, putting Microsoft on the warpath. Apple dumps OpenAI and partners with Google to rebuild Siri. OpenClaw becomes the fastest-growing open-source project in history. And a hacker infects a popular AI tool downloaded 3.4 million times a day.
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe
AI training for your team — https://www.upscaile.com/
Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
About The AI Why with Liam Lawson:
The AI Why breaks down what's actually happening in AI — who's building it, how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 31 Mar 2026 20:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/00bed6d2-34de-11f1-8875-9ba147904569/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on AI News in 5: OpenAI kills Sora just six months after launch — blindsiding Disney and losing a billion-dollar deal. Amazon drops $50 billion on OpenAI, putting Microsoft on the warpath. Apple dumps OpenAI and partners with Google to rebuild Siri. OpenClaw becomes the fastest-growing open-source project in history. And a hacker infects a popular AI tool downloaded 3.4 million times a day.
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe
AI training for your team — https://www.upscaile.com/
Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Get free AI resources: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
About The AI Why with Liam Lawson:
The AI Why breaks down what's actually happening in AI — who's building it, how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on AI News in 5: OpenAI kills Sora just six months after launch — blindsiding Disney and losing a billion-dollar deal. Amazon drops $50 billion on OpenAI, putting Microsoft on the warpath. Apple dumps OpenAI and partners with Google to rebuild Siri. OpenClaw becomes the fastest-growing open-source project in history. And a hacker infects a popular AI tool downloaded 3.4 million times a day.</p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p><p>AI training for your team — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Connect with Liam — <a href="https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/">https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/</a></p><p>Get free AI resources: <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p><p>About The AI Why with Liam Lawson:</p><p>The AI Why breaks down what's actually happening in AI — who's building it, how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>345</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[20ebc978-0c43-495b-827f-e2d65a7110f8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7026791690.mp3?updated=1776260651" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The CMS Running NASA &amp; 2,000 Stories a Day | Brian Alvey, WordPress VIP</title>
      <description>In this episode, Brian Alvey, CTO of WordPress VIP (Automattic's enterprise platform), reveals how the platform powering NASA, CBS, NBCUniversal, Rolling Stone, Samsung, and the White House is integrating AI into enterprise publishing at massive scale. Brian shares how he's built over 24 content management platforms throughout his career — and why the current AI moment is the most transformative shift he's ever seen in publishing technology.
Brian breaks down how WordPress VIP is embedding AI into tools like Parse.ly to give editors conversational content insights, how their AI-powered "editorial recipes" turn hours of manual headline testing and cross-linking into minutes, and how a new tool called Tollbit lets publishers actually charge AI crawlers for accessing their content. He also shares his philosophy on keeping humans in the loop at enterprise scale, how 200-person newsrooms and 11,000-contributor content teams are navigating AI adoption, and why the open web matters more than ever when everyone's fighting for attention in an AI-first world.
Key Topics Covered

How WordPress VIP powers mission-critical content for NASA, CBS, the White House, and hundreds of enterprise brands

Brian's journey building 24+ content management platforms and what he's learned about great CMS architecture

How WordPress VIP takes open-source WordPress and locks it down with enterprise governance for massive newsrooms

The AI tools WordPress VIP is building: conversational analytics, headline testing, engagement optimization, and automated cross-linking

How Tollbit lets publishers charge AI companies for crawling their content — a new revenue stream for media

What "human in the loop" actually means when you're managing 11,000 contributors

The Agentforce integration with Salesforce: bringing AI-powered chat and lead generation directly into WordPress sites

Why the open web still matters in the age of AI and how publishers are fighting back

How enterprise publishing teams are adopting AI without sacrificing editorial quality

Brian's honest take on where AI helps editors vs. where it still falls short

Episode Timestamps
00:00 - Introduction and welcome
00:35 - Brian's career building publishing platforms before Google existed
03:22 - AI as an equalizing paradigm shift
07:20 - Generalist superpower: bridging art and science
09:46 - Human skills vs AI: lessons from The Founder
13:36 - Career advice for his kids in the AI era
16:01 - WordPress VIP and enterprise publishing at scale
18:28 - Core mission: speed and stability without breaking things
23:06 - AI content intelligence tools and MCP adapters
28:39 - Media business fundamentals: attention and monetization
35:27 - Customer segments and AI crawler strategies
40:12 - Trust and credibility in the AI-generated content era
44:25 - From competing against WordPress to leading it
48:15 - Obsession with automation and future of work
51:51 - Building products in days with AI tools like Claude
56:47 - What truly drives him
58:40 - Closing and where to find Brian
Brian's Socials:
LinkedIn — https://www.linkedin.com/in/brianalvey/
Website — https://brianalvey.com
Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 26 Mar 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/012d3064-34de-11f1-8875-4fb25ee1bf3c/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Brian Alvey, CTO of WordPress VIP (Automattic's enterprise platform), reveals how the platform powering NASA, CBS, NBCUniversal, Rolling Stone, Samsung, and the White House is integrating AI into enterprise publishing at massive scale. Brian shares how he's built over 24 content management platforms throughout his career — and why the current AI moment is the most transformative shift he's ever seen in publishing technology.
Brian breaks down how WordPress VIP is embedding AI into tools like Parse.ly to give editors conversational content insights, how their AI-powered "editorial recipes" turn hours of manual headline testing and cross-linking into minutes, and how a new tool called Tollbit lets publishers actually charge AI crawlers for accessing their content. He also shares his philosophy on keeping humans in the loop at enterprise scale, how 200-person newsrooms and 11,000-contributor content teams are navigating AI adoption, and why the open web matters more than ever when everyone's fighting for attention in an AI-first world.
Key Topics Covered

How WordPress VIP powers mission-critical content for NASA, CBS, the White House, and hundreds of enterprise brands

Brian's journey building 24+ content management platforms and what he's learned about great CMS architecture

How WordPress VIP takes open-source WordPress and locks it down with enterprise governance for massive newsrooms

The AI tools WordPress VIP is building: conversational analytics, headline testing, engagement optimization, and automated cross-linking

How Tollbit lets publishers charge AI companies for crawling their content — a new revenue stream for media

What "human in the loop" actually means when you're managing 11,000 contributors

The Agentforce integration with Salesforce: bringing AI-powered chat and lead generation directly into WordPress sites

Why the open web still matters in the age of AI and how publishers are fighting back

How enterprise publishing teams are adopting AI without sacrificing editorial quality

Brian's honest take on where AI helps editors vs. where it still falls short

Episode Timestamps
00:00 - Introduction and welcome
00:35 - Brian's career building publishing platforms before Google existed
03:22 - AI as an equalizing paradigm shift
07:20 - Generalist superpower: bridging art and science
09:46 - Human skills vs AI: lessons from The Founder
13:36 - Career advice for his kids in the AI era
16:01 - WordPress VIP and enterprise publishing at scale
18:28 - Core mission: speed and stability without breaking things
23:06 - AI content intelligence tools and MCP adapters
28:39 - Media business fundamentals: attention and monetization
35:27 - Customer segments and AI crawler strategies
40:12 - Trust and credibility in the AI-generated content era
44:25 - From competing against WordPress to leading it
48:15 - Obsession with automation and future of work
51:51 - Building products in days with AI tools like Claude
56:47 - What truly drives him
58:40 - Closing and where to find Brian
Brian's Socials:
LinkedIn — https://www.linkedin.com/in/brianalvey/
Website — https://brianalvey.com
Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Brian Alvey, CTO of WordPress VIP (Automattic's enterprise platform), reveals how the platform powering NASA, CBS, NBCUniversal, Rolling Stone, Samsung, and the White House is integrating AI into enterprise publishing at massive scale. Brian shares how he's built over 24 content management platforms throughout his career — and why the current AI moment is the most transformative shift he's ever seen in publishing technology.</p><p>Brian breaks down how WordPress VIP is embedding AI into tools like <a href="http://Parse.ly">Parse.ly</a> to give editors conversational content insights, how their AI-powered "editorial recipes" turn hours of manual headline testing and cross-linking into minutes, and how a new tool called Tollbit lets publishers actually charge AI crawlers for accessing their content. He also shares his philosophy on keeping humans in the loop at enterprise scale, how 200-person newsrooms and 11,000-contributor content teams are navigating AI adoption, and why the open web matters more than ever when everyone's fighting for attention in an AI-first world.</p><p>Key Topics Covered</p><ul>
<li>How WordPress VIP powers mission-critical content for NASA, CBS, the White House, and hundreds of enterprise brands</li>
<li>Brian's journey building 24+ content management platforms and what he's learned about great CMS architecture</li>
<li>How WordPress VIP takes open-source WordPress and locks it down with enterprise governance for massive newsrooms</li>
<li>The AI tools WordPress VIP is building: conversational analytics, headline testing, engagement optimization, and automated cross-linking</li>
<li>How Tollbit lets publishers charge AI companies for crawling their content — a new revenue stream for media</li>
<li>What "human in the loop" actually means when you're managing 11,000 contributors</li>
<li>The Agentforce integration with Salesforce: bringing AI-powered chat and lead generation directly into WordPress sites</li>
<li>Why the open web still matters in the age of AI and how publishers are fighting back</li>
<li>How enterprise publishing teams are adopting AI without sacrificing editorial quality</li>
<li>Brian's honest take on where AI helps editors vs. where it still falls short</li>
</ul><p>Episode Timestamps</p><p>00:00 - Introduction and welcome</p><p>00:35 - Brian's career building publishing platforms before Google existed</p><p>03:22 - AI as an equalizing paradigm shift</p><p>07:20 - Generalist superpower: bridging art and science</p><p>09:46 - Human skills vs AI: lessons from The Founder</p><p>13:36 - Career advice for his kids in the AI era</p><p>16:01 - WordPress VIP and enterprise publishing at scale</p><p>18:28 - Core mission: speed and stability without breaking things</p><p>23:06 - AI content intelligence tools and MCP adapters</p><p>28:39 - Media business fundamentals: attention and monetization</p><p>35:27 - Customer segments and AI crawler strategies</p><p>40:12 - Trust and credibility in the AI-generated content era</p><p>44:25 - From competing against WordPress to leading it</p><p>48:15 - Obsession with automation and future of work</p><p>51:51 - Building products in days with AI tools like Claude</p><p>56:47 - What truly drives him</p><p>58:40 - Closing and where to find Brian</p><p>Brian's Socials:</p><p>LinkedIn — <a href="https://www.linkedin.com/in/brianalvey/">https://www.linkedin.com/in/brianalvey/</a></p><p>Website — <a href="https://brianalvey.com">https://brianalvey.com</a></p><p>Partner Links</p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3732</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a0c72726-219a-4fc3-abf1-2f4a27722858]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8104773567.mp3?updated=1776261029" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Apple Ditches OpenAI + $1.2B Robot Week | AI News in 5 </title>
      <description>Apple confirms Google Gemini will power the new Siri — dropping OpenAI as the default on a billion devices. GPT-5.4 Thinking becomes the first AI to beat the human baseline at navigating a computer. Yann LeCun raises $1.03B in the largest seed round in European history to build a new kind of AI. Robotics companies pull in $1.2B in a single week. And the U.S. Department of Energy puts $293M behind AI for national challenges.
Partner Links
Book Enterprise AI Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe
Get our free AI resource pack — https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
About The AI Why:
The AI Why breaks down what's actually happening in AI — who's building it, how it's being deployed, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 24 Mar 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/019f8bbe-34de-11f1-8875-0fbe10c2bfb7/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Apple confirms Google Gemini will power the new Siri — dropping OpenAI as the default on a billion devices. GPT-5.4 Thinking becomes the first AI to beat the human baseline at navigating a computer. Yann LeCun raises $1.03B in the largest seed round in European history to build a new kind of AI. Robotics companies pull in $1.2B in a single week. And the U.S. Department of Energy puts $293M behind AI for national challenges.
Partner Links
Book Enterprise AI Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe
Get our free AI resource pack — https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH
Connect with Liam — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
About The AI Why:
The AI Why breaks down what's actually happening in AI — who's building it, how it's being deployed, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Apple confirms Google Gemini will power the new Siri — dropping OpenAI as the default on a billion devices. GPT-5.4 Thinking becomes the first AI to beat the human baseline at navigating a computer. Yann LeCun raises $1.03B in the largest seed round in European history to build a new kind of AI. Robotics companies pull in $1.2B in a single week. And the U.S. Department of Energy puts $293M behind AI for national challenges.</p><p>Partner Links</p><p>Book Enterprise AI Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe">https://www.theaireport.ai/subscribe</a></p><p>Get our free AI resource pack — <a href="https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH">https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH</a></p><p>Connect with Liam — <a href="https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/">https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/</a></p><p>About The AI Why:</p><p>The AI Why breaks down what's actually happening in AI — who's building it, how it's being deployed, and why the people building it do what they do. New episodes every Tuesday (AI News in 5) and Thursday (founder and exec interviews).</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>341</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7a4bdf3a-a4c3-49bb-92d2-d94856dda76c]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7176846771.mp3?updated=1776260880" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> How UserTesting Got 70% of Employees Using AI Weekly | Michael Domanic</title>
      <description>In this episode, Michael J. Domanic, VP and Head of AI at UserTesting, reveals how he drove 70%+ weekly AI adoption across the entire company — turning UserTesting into one of the most AI-mature enterprises in the market. Michael shares why most enterprise AI rollouts fail, and the exact playbook he used to get hundreds of employees building custom GPTs and integrating AI into their daily workflows.Michael breaks down how UserTesting moved from Phase 1 (culture change and grassroots adoption) to Phase 2 (agent orchestration and scaled automation), how he built the governance frameworks that let teams experiment safely without creating chaos, and why the companies that treat AI adoption as a culture problem — not a technology problem — are the ones winning. He also shares his honest take on why AI projects consistently miss expectations and what leaders need to do differently in 2026.Key Topics Covered- How UserTesting achieved 70%+ weekly AI adoption across the entire organization- Why most enterprise AI projects fail to meet expectations — and the root causes leaders miss- How employees built hundreds of custom GPTs for internal workflows without a top-down mandate- The Phase 1 to Phase 2 transition: from culture change to agent orchestration- Building AI governance frameworks that enable experimentation without creating risk- Why treating AI adoption as a culture problem (not a tech problem) is the key to success- How to get executive buy-in for enterprise-wide AI transformation- What "AI maturity" actually looks like inside a real company- Michael's predictions for how agentic AI will reshape enterprise operations- The skills leaders need to drive AI adoption in their organizations*Episode Timestamps*00:00 - Introduction and welcome01:31 - Michael's career background and life journey08:08 - Why AI transformation is about creativity, not technology10:43 - Hiring the right AI transformation leaders14:07 - Building Centers of Excellence for AI17:36 - What UserTesting does and Michael's role32:55 - Achieving 70%+ AI adoption across the company35:41 - How employees built hundreds of custom GPTs39:16 - OKR methodology and governance frameworks43:50 - Creativity as the fundamental skill for future work48:39 - Phase 2: Agent orchestration and advanced AI56:46 - Outlook: Optimism about AI's future impact59:27 - Closing: How honest conversations drive progressMichael's Socials:LinkedIn — https://www.linkedin.com/in/michaeldomanic/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://newsletter.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 19 Mar 2026 20:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/020d44ce-34de-11f1-8875-0f0a69e16572/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Michael J. Domanic, VP and Head of AI at UserTesting, reveals how he drove 70%+ weekly AI adoption across the entire company — turning UserTesting into one of the most AI-mature enterprises in the market. Michael shares why most enterprise AI rollouts fail, and the exact playbook he used to get hundreds of employees building custom GPTs and integrating AI into their daily workflows.Michael breaks down how UserTesting moved from Phase 1 (culture change and grassroots adoption) to Phase 2 (agent orchestration and scaled automation), how he built the governance frameworks that let teams experiment safely without creating chaos, and why the companies that treat AI adoption as a culture problem — not a technology problem — are the ones winning. He also shares his honest take on why AI projects consistently miss expectations and what leaders need to do differently in 2026.Key Topics Covered- How UserTesting achieved 70%+ weekly AI adoption across the entire organization- Why most enterprise AI projects fail to meet expectations — and the root causes leaders miss- How employees built hundreds of custom GPTs for internal workflows without a top-down mandate- The Phase 1 to Phase 2 transition: from culture change to agent orchestration- Building AI governance frameworks that enable experimentation without creating risk- Why treating AI adoption as a culture problem (not a tech problem) is the key to success- How to get executive buy-in for enterprise-wide AI transformation- What "AI maturity" actually looks like inside a real company- Michael's predictions for how agentic AI will reshape enterprise operations- The skills leaders need to drive AI adoption in their organizations*Episode Timestamps*00:00 - Introduction and welcome01:31 - Michael's career background and life journey08:08 - Why AI transformation is about creativity, not technology10:43 - Hiring the right AI transformation leaders14:07 - Building Centers of Excellence for AI17:36 - What UserTesting does and Michael's role32:55 - Achieving 70%+ AI adoption across the company35:41 - How employees built hundreds of custom GPTs39:16 - OKR methodology and governance frameworks43:50 - Creativity as the fundamental skill for future work48:39 - Phase 2: Agent orchestration and advanced AI56:46 - Outlook: Optimism about AI's future impact59:27 - Closing: How honest conversations drive progressMichael's Socials:LinkedIn — https://www.linkedin.com/in/michaeldomanic/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://newsletter.theaireport.ai/subscribe

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Michael J. Domanic, VP and Head of AI at UserTesting, reveals how he drove 70%+ weekly AI adoption across the entire company — turning UserTesting into one of the most AI-mature enterprises in the market. Michael shares why most enterprise AI rollouts fail, and the exact playbook he used to get hundreds of employees building custom GPTs and integrating AI into their daily workflows.Michael breaks down how UserTesting moved from Phase 1 (culture change and grassroots adoption) to Phase 2 (agent orchestration and scaled automation), how he built the governance frameworks that let teams experiment safely without creating chaos, and why the companies that treat AI adoption as a culture problem — not a technology problem — are the ones winning. He also shares his honest take on why AI projects consistently miss expectations and what leaders need to do differently in 2026.Key Topics Covered- How UserTesting achieved 70%+ weekly AI adoption across the entire organization- Why most enterprise AI projects fail to meet expectations — and the root causes leaders miss- How employees built hundreds of custom GPTs for internal workflows without a top-down mandate- The Phase 1 to Phase 2 transition: from culture change to agent orchestration- Building AI governance frameworks that enable experimentation without creating risk- Why treating AI adoption as a culture problem (not a tech problem) is the key to success- How to get executive buy-in for enterprise-wide AI transformation- What "AI maturity" actually looks like inside a real company- Michael's predictions for how agentic AI will reshape enterprise operations- The skills leaders need to drive AI adoption in their organizations*Episode Timestamps*00:00 - Introduction and welcome01:31 - Michael's career background and life journey08:08 - Why AI transformation is about creativity, not technology10:43 - Hiring the right AI transformation leaders14:07 - Building Centers of Excellence for AI17:36 - What UserTesting does and Michael's role32:55 - Achieving 70%+ AI adoption across the company35:41 - How employees built hundreds of custom GPTs39:16 - OKR methodology and governance frameworks43:50 - Creativity as the fundamental skill for future work48:39 - Phase 2: Agent orchestration and advanced AI56:46 - Outlook: Optimism about AI's future impact59:27 - Closing: How honest conversations drive progressMichael's Socials:LinkedIn — https://www.linkedin.com/in/michaeldomanic/Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://newsletter.theaireport.ai/subscribe</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3995</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[415392fa-f0da-4170-bd49-fae321a02c30]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6968499841.mp3?updated=1776261297" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>2.5M Quit ChatGPT + 30K Oracle Layoffs | AI News in 5</title>
      <description>This week: OpenAI's Pentagon deal sparked the #QuitGPT movement with 2.5 million supporters, Anthropic got labeled a supply-chain risk by the DOD, AI-driven layoffs hit Oracle and Block hard, NVIDIA teased its biggest GTC yet, and Apple revealed a $599 AI laptop.
Key Topics Covered

OpenAI's classified Pentagon deal sparks #QuitGPT revolt with 2.5M supporters and 295% surge in ChatGPT uninstalls

Pentagon labels Anthropic a supply-chain risk; OpenAI and Google employees rally behind Anthropic in court

Oracle eyes 30,000 layoffs and Block cuts 40% of workforce as AI replaces jobs at scale

NVIDIA GTC 2026 preview: $26B open-source investment, new inference chip, and enterprise AI platform expected

Apple announces rebuilt Siri with Google Gemini and the $599 MacBook Neo AI laptop

Episode Timestamps
00:00 — OpenAI's Pentagon Deal and the #QuitGPT Revolt
01:00 — Pentagon vs. Anthropic: The Supply-Chain Risk Showdown
02:00 — AI Layoffs Hit Oracle, Block, and Atlassian
03:00 — NVIDIA GTC 2026: The Super Bowl of AI
04:00 — Apple's Mass-Market AI Play
About The AI Why
The AI Why with Liam Lawson covers enterprise AI — how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (weekly news in 5 minutes) and Thursday (hour-long interviews with founders and C-suite execs).
Our Links
Free Newsletter — https://newsletter.theaireport.ai/subscribe
Website — https://www.theaireport.ai
Liam's LinkedIn — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Book Enterprise Training — https://www.upscaile.com/

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 17 Mar 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/027c176e-34de-11f1-8875-335740418c25/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week: OpenAI's Pentagon deal sparked the #QuitGPT movement with 2.5 million supporters, Anthropic got labeled a supply-chain risk by the DOD, AI-driven layoffs hit Oracle and Block hard, NVIDIA teased its biggest GTC yet, and Apple revealed a $599 AI laptop.
Key Topics Covered

OpenAI's classified Pentagon deal sparks #QuitGPT revolt with 2.5M supporters and 295% surge in ChatGPT uninstalls

Pentagon labels Anthropic a supply-chain risk; OpenAI and Google employees rally behind Anthropic in court

Oracle eyes 30,000 layoffs and Block cuts 40% of workforce as AI replaces jobs at scale

NVIDIA GTC 2026 preview: $26B open-source investment, new inference chip, and enterprise AI platform expected

Apple announces rebuilt Siri with Google Gemini and the $599 MacBook Neo AI laptop

Episode Timestamps
00:00 — OpenAI's Pentagon Deal and the #QuitGPT Revolt
01:00 — Pentagon vs. Anthropic: The Supply-Chain Risk Showdown
02:00 — AI Layoffs Hit Oracle, Block, and Atlassian
03:00 — NVIDIA GTC 2026: The Super Bowl of AI
04:00 — Apple's Mass-Market AI Play
About The AI Why
The AI Why with Liam Lawson covers enterprise AI — how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (weekly news in 5 minutes) and Thursday (hour-long interviews with founders and C-suite execs).
Our Links
Free Newsletter — https://newsletter.theaireport.ai/subscribe
Website — https://www.theaireport.ai
Liam's LinkedIn — https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Book Enterprise Training — https://www.upscaile.com/

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week: OpenAI's Pentagon deal sparked the #QuitGPT movement with 2.5 million supporters, Anthropic got labeled a supply-chain risk by the DOD, AI-driven layoffs hit Oracle and Block hard, NVIDIA teased its biggest GTC yet, and Apple revealed a $599 AI laptop.</p><p>Key Topics Covered</p><ul>
<li>OpenAI's classified Pentagon deal sparks #QuitGPT revolt with 2.5M supporters and 295% surge in ChatGPT uninstalls</li>
<li>Pentagon labels Anthropic a supply-chain risk; OpenAI and Google employees rally behind Anthropic in court</li>
<li>Oracle eyes 30,000 layoffs and Block cuts 40% of workforce as AI replaces jobs at scale</li>
<li>NVIDIA GTC 2026 preview: $26B open-source investment, new inference chip, and enterprise AI platform expected</li>
<li>Apple announces rebuilt Siri with Google Gemini and the $599 MacBook Neo AI laptop</li>
</ul><p>Episode Timestamps</p><p>00:00 — OpenAI's Pentagon Deal and the #QuitGPT Revolt</p><p>01:00 — Pentagon vs. Anthropic: The Supply-Chain Risk Showdown</p><p>02:00 — AI Layoffs Hit Oracle, Block, and Atlassian</p><p>03:00 — NVIDIA GTC 2026: The Super Bowl of AI</p><p>04:00 — Apple's Mass-Market AI Play</p><p>About The AI Why</p><p>The AI Why with Liam Lawson covers enterprise AI — how it's being implemented at scale, and why the people building it do what they do. New episodes every Tuesday (weekly news in 5 minutes) and Thursday (hour-long interviews with founders and C-suite execs).</p><p>Our Links</p><p>Free Newsletter — <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a></p><p>Website — <a href="https://www.theaireport.ai">https://www.theaireport.ai</a></p><p>Liam's LinkedIn — <a href="https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/">https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/</a></p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>343</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG9264135286.mp3?updated=1776260979" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How Coursera Is Reskilling 7,000 Companies on AI — From the VP Leading It (Anthony Salcito)</title>
      <description>How Coursera's VP of Enterprise Is Reskilling 7,000+ Organizations with AI — Anthony Salcito on the 234% GenAI Enrollment Surge, Verified Skills Paths, and the Human Side of AI Transformation
Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $255.3 million enterprise business partnering with over 7,000 organizations globally. In this episode, Anthony breaks down why GenAI enrollments on Coursera have surged 234% year over year, why 84% of leaders plan to increase AI investment while only 38% say their teams are ready, and what it actually takes to build AI skills that stick inside an organization.
From his 20+ years leading Microsoft's global education efforts to his work at Nerdy and Varsity Tutors, Anthony shares his framework for human-first AI transformation. He explains how Coursera is using AI-powered coaching, role play simulations, verified skills paths, and Course Builder to close the enterprise AI skills gap — and why critical thinking, not just prompt engineering, is the skill that matters most.
Key Topics Covered:

The 234% year-over-year surge in GenAI enrollments on Coursera and what is driving global demand

Why 84% of leaders plan to increase AI investment but only 38% say their teams are ready

Coursera's verified skills paths and how they provide stackable, demonstrable AI credentials

The role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rate

How Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business context

Why critical thinking enrollments grew 185% alongside technical AI skills

The four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformation

How gamification and role play simulations make enterprise AI learning stick

Coursera's integration with ChatGPT and the future of learning in the flow of work

Why the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialing

Episode Timestamps:
00:00 - Introduction and Anthony Salcito's background
01:42 - Growing up in the Bronx and how technology became a catalyst
04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark
06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise
08:24 - Walking into Coursera's $239M enterprise business — what surprised him
11:22 - 234% GenAI enrollment growth and 15 enrollments per minute
13:57 - Verified skills paths and proving AI competency beyond course completions
16:19 - Why critical thinking grew 185% and how schools need to change
20:41 - Hard skills vs. soft skills and the competency-based education gap
23:58 - What makes AI learning stick: personalization, mixed modality, and Coach
27:40 - Coach results: 94% improved experience and the power of gamification
31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company
36:24 - The four phases of technology adoption and why complacency is the biggest threat
40:25 - Human-first AI transformation and why people-centric companies win
43:39 - How Coursera keeps up with fast-moving AI content creators
46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration
50:55 - Why Anthony does what he does
About Anthony Salcito
Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads the company's enterprise business serving over 7,000 organizations worldwide. Before joining Coursera, Anthony spent 20+ years at Microsoft leading global education efforts, visiting over 80 countries and nearly 3,000 classrooms. He also served in leadership roles at Nerdy and Varsity Tutors and chairs the nonprofit Network for Teaching Entrepreneurship.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Wed, 11 Mar 2026 20:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/02e68748-34de-11f1-8875-db664871126a/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>How Coursera's VP of Enterprise Is Reskilling 7,000+ Organizations with AI — Anthony Salcito on the 234% GenAI Enrollment Surge, Verified Skills Paths, and the Human Side of AI Transformation
Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $255.3 million enterprise business partnering with over 7,000 organizations globally. In this episode, Anthony breaks down why GenAI enrollments on Coursera have surged 234% year over year, why 84% of leaders plan to increase AI investment while only 38% say their teams are ready, and what it actually takes to build AI skills that stick inside an organization.
From his 20+ years leading Microsoft's global education efforts to his work at Nerdy and Varsity Tutors, Anthony shares his framework for human-first AI transformation. He explains how Coursera is using AI-powered coaching, role play simulations, verified skills paths, and Course Builder to close the enterprise AI skills gap — and why critical thinking, not just prompt engineering, is the skill that matters most.
Key Topics Covered:

The 234% year-over-year surge in GenAI enrollments on Coursera and what is driving global demand

Why 84% of leaders plan to increase AI investment but only 38% say their teams are ready

Coursera's verified skills paths and how they provide stackable, demonstrable AI credentials

The role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rate

How Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business context

Why critical thinking enrollments grew 185% alongside technical AI skills

The four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformation

How gamification and role play simulations make enterprise AI learning stick

Coursera's integration with ChatGPT and the future of learning in the flow of work

Why the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialing

Episode Timestamps:
00:00 - Introduction and Anthony Salcito's background
01:42 - Growing up in the Bronx and how technology became a catalyst
04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark
06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise
08:24 - Walking into Coursera's $239M enterprise business — what surprised him
11:22 - 234% GenAI enrollment growth and 15 enrollments per minute
13:57 - Verified skills paths and proving AI competency beyond course completions
16:19 - Why critical thinking grew 185% and how schools need to change
20:41 - Hard skills vs. soft skills and the competency-based education gap
23:58 - What makes AI learning stick: personalization, mixed modality, and Coach
27:40 - Coach results: 94% improved experience and the power of gamification
31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company
36:24 - The four phases of technology adoption and why complacency is the biggest threat
40:25 - Human-first AI transformation and why people-centric companies win
43:39 - How Coursera keeps up with fast-moving AI content creators
46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration
50:55 - Why Anthony does what he does
About Anthony Salcito
Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads the company's enterprise business serving over 7,000 organizations worldwide. Before joining Coursera, Anthony spent 20+ years at Microsoft leading global education efforts, visiting over 80 countries and nearly 3,000 classrooms. He also served in leadership roles at Nerdy and Varsity Tutors and chairs the nonprofit Network for Teaching Entrepreneurship.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How Coursera's VP of Enterprise Is Reskilling 7,000+ Organizations with AI — Anthony Salcito on the 234% GenAI Enrollment Surge, Verified Skills Paths, and the Human Side of AI Transformation</p><p>Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads a $255.3 million enterprise business partnering with over 7,000 organizations globally. In this episode, Anthony breaks down why GenAI enrollments on Coursera have surged 234% year over year, why 84% of leaders plan to increase AI investment while only 38% say their teams are ready, and what it actually takes to build AI skills that stick inside an organization.</p><p>From his 20+ years leading Microsoft's global education efforts to his work at Nerdy and Varsity Tutors, Anthony shares his framework for human-first AI transformation. He explains how Coursera is using AI-powered coaching, role play simulations, verified skills paths, and Course Builder to close the enterprise AI skills gap — and why critical thinking, not just prompt engineering, is the skill that matters most.</p><p><strong>Key Topics Covered:</strong></p><ul>
<li>The 234% year-over-year surge in GenAI enrollments on Coursera and what is driving global demand</li>
<li>Why 84% of leaders plan to increase AI investment but only 38% say their teams are ready</li>
<li>Coursera's verified skills paths and how they provide stackable, demonstrable AI credentials</li>
<li>The role of AI-powered Coach in improving course completion — 94% report improved experience, 9.5% higher quiz pass rate</li>
<li>How Course Builder lets enterprises customize world-class AI content from Google, Anthropic, and Microsoft for their specific business context</li>
<li>Why critical thinking enrollments grew 185% alongside technical AI skills</li>
<li>The four phases of technology adoption: displacement fear, skills erosion, complacency, and true transformation</li>
<li>How gamification and role play simulations make enterprise AI learning stick</li>
<li>Coursera's integration with ChatGPT and the future of learning in the flow of work</li>
<li>Why the shift from "4 years for 40 years" to "40 for 4" demands lifelong micro-credentialing</li>
</ul><p><strong>Episode Timestamps:</strong></p><p>00:00 - Introduction and Anthony Salcito's background</p><p>01:42 - Growing up in the Bronx and how technology became a catalyst</p><p>04:10 - Teaching Girl Scouts Visual Basic in 1995 and the education spark</p><p>06:18 - The through line from Microsoft to Nerdy to Coursera Enterprise</p><p>08:24 - Walking into Coursera's $239M enterprise business — what surprised him</p><p>11:22 - 234% GenAI enrollment growth and 15 enrollments per minute</p><p>13:57 - Verified skills paths and proving AI competency beyond course completions</p><p>16:19 - Why critical thinking grew 185% and how schools need to change</p><p>20:41 - Hard skills vs. soft skills and the competency-based education gap</p><p>23:58 - What makes AI learning stick: personalization, mixed modality, and Coach</p><p>27:40 - Coach results: 94% improved experience and the power of gamification</p><p>31:55 - Live role play: pitching AI reskilling to a 1,000-person construction company</p><p>36:24 - The four phases of technology adoption and why complacency is the biggest threat</p><p>40:25 - Human-first AI transformation and why people-centric companies win</p><p>43:39 - How Coursera keeps up with fast-moving AI content creators</p><p>46:20 - The 3-5 year vision: micro-credentials, learning in the flow of work, and ChatGPT integration</p><p>50:55 - Why Anthony does what he does</p><p><strong>About Anthony Salcito</strong></p><p>Anthony Salcito is the Vice President of Enterprise at Coursera, where he leads the company's enterprise business serving over 7,000 organizations worldwide. Before joining Coursera, Anthony spent 20+ years at Microsoft leading global education efforts, visiting over 80 countries and nearly 3,000 classrooms. He also served in leadership roles at Nerdy and Varsity Tutors and chairs the nonprofit Network for Teaching Entrepreneurship.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3384</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG6303507030.mp3?updated=1776261304" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>GPT 5.4 Beats 83% of Professionals + Nvidia's $30B Exit | AI News in 5</title>
      <description>Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety Reckoning
This week on AI News in 5 by The AI Report, Liam Lawson breaks down four major stories reshaping the AI industry. From Stripe's new billing infrastructure for AI companies to Nvidia's $30 billion investment in OpenAI that may be its last, GPT 5.4 beating 83% of industry professionals, and OpenAI facing a safety crisis after failing to alert law enforcement about a dangerous user.
These stories signal a shift in how AI companies monetize products, how the biggest AI labs will fund themselves through public markets, and what safety obligations come with deploying AI at scale. Whether you are building AI products, investing in the space, or deploying enterprise AI, this episode covers the developments you need to know.
Key Topics Covered

Stripe's new AI billing feature that passes through LLM token costs to customers with automatic markup

How Stripe's tool integrates with third-party gateways like Vercel and OpenRouter

Nvidia's $30 billion investment in OpenAI as part of the $110 billion funding round

Why Jensen Huang says the private mega-deal era for AI labs is ending

OpenAI's $730 billion valuation and the path to IPO alongside Anthropic

GPT 5.4's native computer use capabilities and 1 million token context window

GPT 5.4 benchmark results showing 83% outperformance versus industry professionals

33% reduction in factual errors and 47% token savings in tool-heavy workflows

OpenAI's safety crisis after flagging a dangerous user but never contacting law enforcement

Sam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian police

Episode Timestamps
00:00 - Introduction to AI News in 5
01:08 - Stripe solves AI's biggest billing problem
02:12 - How 30% automated markup works for agentic workflows
02:40 - Why unpredictable token costs threaten AI margins
03:17 - Stripe launches its own multi-model gateway
03:49 - Nvidia's $30 billion OpenAI investment may be its last
04:32 - OpenAI and Anthropic gear up for IPOs
04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation
05:57 - GPT 5.4 launches with native computer use
06:54 - GPT 5.4 benchmarks crush 83% of industry professionals
08:55 - OpenAI flagged a dangerous user but never called police
09:46 - Sam Altman pledges safety protocol overhaul
10:34 - When does a safety flag become a legal obligation
Resources Mentioned

Stripe AI billing and cost pass-through feature

Vercel and OpenRouter third-party gateway integrations

Nvidia Vera Rubin inference and training systems

OpenAI GPT 5.4 with native computer use

ChatGPT, Codex, and OpenAI API

ChatGPT for Excel add-on

Morgan Stanley conference (Jensen Huang keynote)

Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube
#AINews #GPT5 #OpenAI #Nvidia #Stripe #AIBilling #JensenHuang #SamAltman #EnterpriseAI #AISafety #AIAgents #ComputerUse #LLM #AIInfrastructure #TokenCosts

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 10 Mar 2026 20:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/03539c2a-34de-11f1-8875-1f98c3ac9726/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety Reckoning
This week on AI News in 5 by The AI Report, Liam Lawson breaks down four major stories reshaping the AI industry. From Stripe's new billing infrastructure for AI companies to Nvidia's $30 billion investment in OpenAI that may be its last, GPT 5.4 beating 83% of industry professionals, and OpenAI facing a safety crisis after failing to alert law enforcement about a dangerous user.
These stories signal a shift in how AI companies monetize products, how the biggest AI labs will fund themselves through public markets, and what safety obligations come with deploying AI at scale. Whether you are building AI products, investing in the space, or deploying enterprise AI, this episode covers the developments you need to know.
Key Topics Covered

Stripe's new AI billing feature that passes through LLM token costs to customers with automatic markup

How Stripe's tool integrates with third-party gateways like Vercel and OpenRouter

Nvidia's $30 billion investment in OpenAI as part of the $110 billion funding round

Why Jensen Huang says the private mega-deal era for AI labs is ending

OpenAI's $730 billion valuation and the path to IPO alongside Anthropic

GPT 5.4's native computer use capabilities and 1 million token context window

GPT 5.4 benchmark results showing 83% outperformance versus industry professionals

33% reduction in factual errors and 47% token savings in tool-heavy workflows

OpenAI's safety crisis after flagging a dangerous user but never contacting law enforcement

Sam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian police

Episode Timestamps
00:00 - Introduction to AI News in 5
01:08 - Stripe solves AI's biggest billing problem
02:12 - How 30% automated markup works for agentic workflows
02:40 - Why unpredictable token costs threaten AI margins
03:17 - Stripe launches its own multi-model gateway
03:49 - Nvidia's $30 billion OpenAI investment may be its last
04:32 - OpenAI and Anthropic gear up for IPOs
04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation
05:57 - GPT 5.4 launches with native computer use
06:54 - GPT 5.4 benchmarks crush 83% of industry professionals
08:55 - OpenAI flagged a dangerous user but never called police
09:46 - Sam Altman pledges safety protocol overhaul
10:34 - When does a safety flag become a legal obligation
Resources Mentioned

Stripe AI billing and cost pass-through feature

Vercel and OpenRouter third-party gateway integrations

Nvidia Vera Rubin inference and training systems

OpenAI GPT 5.4 with native computer use

ChatGPT, Codex, and OpenAI API

ChatGPT for Excel add-on

Morgan Stanley conference (Jensen Huang keynote)

Partner Links
Book Enterprise Training — https://www.upscaile.com/
Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube
#AINews #GPT5 #OpenAI #Nvidia #Stripe #AIBilling #JensenHuang #SamAltman #EnterpriseAI #AISafety #AIAgents #ComputerUse #LLM #AIInfrastructure #TokenCosts

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Stripe Solves AI Billing, Nvidia's $30B OpenAI Exit, GPT 5.4 Launches with Computer Use, and OpenAI's Safety Reckoning</p><p>This week on AI News in 5 by The AI Report, Liam Lawson breaks down four major stories reshaping the AI industry. From Stripe's new billing infrastructure for AI companies to Nvidia's $30 billion investment in OpenAI that may be its last, GPT 5.4 beating 83% of industry professionals, and OpenAI facing a safety crisis after failing to alert law enforcement about a dangerous user.</p><p>These stories signal a shift in how AI companies monetize products, how the biggest AI labs will fund themselves through public markets, and what safety obligations come with deploying AI at scale. Whether you are building AI products, investing in the space, or deploying enterprise AI, this episode covers the developments you need to know.</p><p><strong>Key Topics Covered</strong></p><ul>
<li>Stripe's new AI billing feature that passes through LLM token costs to customers with automatic markup</li>
<li>How Stripe's tool integrates with third-party gateways like Vercel and OpenRouter</li>
<li>Nvidia's $30 billion investment in OpenAI as part of the $110 billion funding round</li>
<li>Why Jensen Huang says the private mega-deal era for AI labs is ending</li>
<li>OpenAI's $730 billion valuation and the path to IPO alongside Anthropic</li>
<li>GPT 5.4's native computer use capabilities and 1 million token context window</li>
<li>GPT 5.4 benchmark results showing 83% outperformance versus industry professionals</li>
<li>33% reduction in factual errors and 47% token savings in tool-heavy workflows</li>
<li>OpenAI's safety crisis after flagging a dangerous user but never contacting law enforcement</li>
<li>Sam Altman's pledge to overhaul safety protocols including a direct contact line for Canadian police</li>
</ul><p><strong>Episode Timestamps</strong></p><p>00:00 - Introduction to AI News in 5</p><p>01:08 - Stripe solves AI's biggest billing problem</p><p>02:12 - How 30% automated markup works for agentic workflows</p><p>02:40 - Why unpredictable token costs threaten AI margins</p><p>03:17 - Stripe launches its own multi-model gateway</p><p>03:49 - Nvidia's $30 billion OpenAI investment may be its last</p><p>04:32 - OpenAI and Anthropic gear up for IPOs</p><p>04:57 - Inside OpenAI's $110 billion funding round and $730 billion valuation</p><p>05:57 - GPT 5.4 launches with native computer use</p><p>06:54 - GPT 5.4 benchmarks crush 83% of industry professionals</p><p>08:55 - OpenAI flagged a dangerous user but never called police</p><p>09:46 - Sam Altman pledges safety protocol overhaul</p><p>10:34 - When does a safety flag become a legal obligation</p><p><strong>Resources Mentioned</strong></p><ul>
<li>Stripe AI billing and cost pass-through feature</li>
<li>Vercel and OpenRouter third-party gateway integrations</li>
<li>Nvidia Vera Rubin inference and training systems</li>
<li>OpenAI GPT 5.4 with native computer use</li>
<li>ChatGPT, Codex, and OpenAI API</li>
<li>ChatGPT for Excel add-on</li>
<li>Morgan Stanley conference (Jensen Huang keynote)</li>
</ul><p><strong>Partner Links</strong></p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">https://www.upscaile.com/</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe-theaireport-youtube">https://www.theaireport.ai/subscribe-theaireport-youtube</a></p><p>#AINews #GPT5 #OpenAI #Nvidia #Stripe #AIBilling #JensenHuang #SamAltman #EnterpriseAI #AISafety #AIAgents #ComputerUse #LLM #AIInfrastructure #TokenCosts</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>334</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG6074825913.mp3?updated=1776261021" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> How to Build AI Software That Won't Be Dead in 2 Years | Christian Lund, Templafy</title>
      <description>In this episode, Christian Lund, Co-Founder of Templafy, reveals how the company built an AI-powered instruction and orchestration layer that helps over 800 enterprise customers — including KPMG, IKEA, and BDO — generate millions of compliant, on-brand business documents 100x faster. Christian shares why the real defensibility in AI isn't the model itself, but the mid-layer that tells the model exactly what to do.  Christian breaks down how Templafy turns a simple 8-word user prompt into a 30-page AI instruction book, how their orchestration layer ensures consistent, high-quality outputs across millions of documents, and why enterprises that tried to build AI solutions internally ended up coming back to purpose-built tools. He also shares his honest take on whether AI is a force for good, what skills knowledge workers need to survive, and what he's teaching his three kids about working in an AI-first world.     Key Topics Covered        - How Templafy's AI instruction layer turns 8-word prompts into 30-page agent briefs    - Why the orchestration mid-layer between users and AI models is the most defensible position in enterprise tech    - How a Big Four accounting firm became Templafy's very first customer    - The transition from rules-based automation to AI-first document generation with agents    - Why enterprises took surprisingly long to move from AI toys to enterprise-grade tools    - How Templafy integrates with Microsoft 365, Salesforce, and Copilot without getting swallowed by the SaaSpocalypse    - The only 2 skills knowledge workers need to stay relevant: setting direction and validating output    - Why brand and thought leadership are more important than ever for SaaS companies in 2026    - How BDO Canada saved $1.65 million in one year using Templafy's document automation    - Christian's investor perspective on VC moonshots vs. real businesses that generate EBITDA        **Episode Timestamps**        00:00 - Introduction and what problem Templafy solves        02:01 - The origin story: from consultants with no product to enterprise SaaS        04:18 - Why finance, law, and pharma became the core customer segment        05:41 - How a Big Four firm became the first customer during the cloud transition        09:02 - What makes a company good at adopting new technology        11:00 - How Templafy sits on top of Microsoft 365, Salesforce, and Copilot        11:37 - Surviving the SaaSpocalypse and finding the new world order        17:08 - Growth in the AI era and why enterprise demand took longer than expected        21:16 - Inside the boardroom: where Templafy fits in the AI landscape        23:31 - The recipe vs. cookbook analogy: how instruction books power AI agents        28:38 - How to become defensible when every company has the same AI models        31:58 - Why humans are more important than ever in enterprise sales        35:11 - The only 2 skills left for knowledge workers        35:52 - Educating children in the age of AI        40:01 - Christian's journey from CEO to CPO to CMO to co-founder        41:17 - Why brand and trust are hyper important in 2026        45:11 - B2B vs. B2C: Templafy's enterprise focus and how it compares to Gamma        49:21 - Christian evaluates the podcast's business model as an investor        54:57 - Is AI a force for good? Christian's honest answer        57:32 - Why do you do what you do?    Christian's Socials:    LinkedIn — https://www.linkedin.com/in/christianlundcph/    Partner Links     Book Enterprise Training — https://www.upscaile.com/     Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 05 Mar 2026 21:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/03c4203a-34de-11f1-8875-4b25dd0c6300/image/4c17e67558107c803edb470d2c6f55be.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Christian Lund, Co-Founder of Templafy, reveals how the company built an AI-powered instruction and orchestration layer that helps over 800 enterprise customers — including KPMG, IKEA, and BDO — generate millions of compliant, on-brand business documents 100x faster. Christian shares why the real defensibility in AI isn't the model itself, but the mid-layer that tells the model exactly what to do.  Christian breaks down how Templafy turns a simple 8-word user prompt into a 30-page AI instruction book, how their orchestration layer ensures consistent, high-quality outputs across millions of documents, and why enterprises that tried to build AI solutions internally ended up coming back to purpose-built tools. He also shares his honest take on whether AI is a force for good, what skills knowledge workers need to survive, and what he's teaching his three kids about working in an AI-first world.     Key Topics Covered        - How Templafy's AI instruction layer turns 8-word prompts into 30-page agent briefs    - Why the orchestration mid-layer between users and AI models is the most defensible position in enterprise tech    - How a Big Four accounting firm became Templafy's very first customer    - The transition from rules-based automation to AI-first document generation with agents    - Why enterprises took surprisingly long to move from AI toys to enterprise-grade tools    - How Templafy integrates with Microsoft 365, Salesforce, and Copilot without getting swallowed by the SaaSpocalypse    - The only 2 skills knowledge workers need to stay relevant: setting direction and validating output    - Why brand and thought leadership are more important than ever for SaaS companies in 2026    - How BDO Canada saved $1.65 million in one year using Templafy's document automation    - Christian's investor perspective on VC moonshots vs. real businesses that generate EBITDA        **Episode Timestamps**        00:00 - Introduction and what problem Templafy solves        02:01 - The origin story: from consultants with no product to enterprise SaaS        04:18 - Why finance, law, and pharma became the core customer segment        05:41 - How a Big Four firm became the first customer during the cloud transition        09:02 - What makes a company good at adopting new technology        11:00 - How Templafy sits on top of Microsoft 365, Salesforce, and Copilot        11:37 - Surviving the SaaSpocalypse and finding the new world order        17:08 - Growth in the AI era and why enterprise demand took longer than expected        21:16 - Inside the boardroom: where Templafy fits in the AI landscape        23:31 - The recipe vs. cookbook analogy: how instruction books power AI agents        28:38 - How to become defensible when every company has the same AI models        31:58 - Why humans are more important than ever in enterprise sales        35:11 - The only 2 skills left for knowledge workers        35:52 - Educating children in the age of AI        40:01 - Christian's journey from CEO to CPO to CMO to co-founder        41:17 - Why brand and trust are hyper important in 2026        45:11 - B2B vs. B2C: Templafy's enterprise focus and how it compares to Gamma        49:21 - Christian evaluates the podcast's business model as an investor        54:57 - Is AI a force for good? Christian's honest answer        57:32 - Why do you do what you do?    Christian's Socials:    LinkedIn — https://www.linkedin.com/in/christianlundcph/    Partner Links     Book Enterprise Training — https://www.upscaile.com/     Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Christian Lund, Co-Founder of Templafy, reveals how the company built an AI-powered instruction and orchestration layer that helps over 800 enterprise customers — including KPMG, IKEA, and BDO — generate millions of compliant, on-brand business documents 100x faster. Christian shares why the real defensibility in AI isn't the model itself, but the mid-layer that tells the model exactly what to do.  Christian breaks down how Templafy turns a simple 8-word user prompt into a 30-page AI instruction book, how their orchestration layer ensures consistent, high-quality outputs across millions of documents, and why enterprises that tried to build AI solutions internally ended up coming back to purpose-built tools. He also shares his honest take on whether AI is a force for good, what skills knowledge workers need to survive, and what he's teaching his three kids about working in an AI-first world.     Key Topics Covered        - How Templafy's AI instruction layer turns 8-word prompts into 30-page agent briefs    - Why the orchestration mid-layer between users and AI models is the most defensible position in enterprise tech    - How a Big Four accounting firm became Templafy's very first customer    - The transition from rules-based automation to AI-first document generation with agents    - Why enterprises took surprisingly long to move from AI toys to enterprise-grade tools    - How Templafy integrates with Microsoft 365, Salesforce, and Copilot without getting swallowed by the SaaSpocalypse    - The only 2 skills knowledge workers need to stay relevant: setting direction and validating output    - Why brand and thought leadership are more important than ever for SaaS companies in 2026    - How BDO Canada saved $1.65 million in one year using Templafy's document automation    - Christian's investor perspective on VC moonshots vs. real businesses that generate EBITDA        **Episode Timestamps**        00:00 - Introduction and what problem Templafy solves        02:01 - The origin story: from consultants with no product to enterprise SaaS        04:18 - Why finance, law, and pharma became the core customer segment        05:41 - How a Big Four firm became the first customer during the cloud transition        09:02 - What makes a company good at adopting new technology        11:00 - How Templafy sits on top of Microsoft 365, Salesforce, and Copilot        11:37 - Surviving the SaaSpocalypse and finding the new world order        17:08 - Growth in the AI era and why enterprise demand took longer than expected        21:16 - Inside the boardroom: where Templafy fits in the AI landscape        23:31 - The recipe vs. cookbook analogy: how instruction books power AI agents        28:38 - How to become defensible when every company has the same AI models        31:58 - Why humans are more important than ever in enterprise sales        35:11 - The only 2 skills left for knowledge workers        35:52 - Educating children in the age of AI        40:01 - Christian's journey from CEO to CPO to CMO to co-founder        41:17 - Why brand and trust are hyper important in 2026        45:11 - B2B vs. B2C: Templafy's enterprise focus and how it compares to Gamma        49:21 - Christian evaluates the podcast's business model as an investor        54:57 - Is AI a force for good? Christian's honest answer        57:32 - Why do you do what you do?    Christian's Socials:    LinkedIn — https://www.linkedin.com/in/christianlundcph/    Partner Links     Book Enterprise Training — https://www.upscaile.com/     Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3597</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[50437576-ff63-47e4-ae24-04d61da41008]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5634667931.mp3?updated=1776261290" length="0" type="audio/mpeg"/>
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    <item>
      <title>OpenAI got $110 billion. Anthropic Got a Blacklist | AI News in 5</title>
      <description>OpenAI just raised $110 billion — the largest funding round in Silicon Valley history. Meanwhile, the Pentagon is threatening to blacklist Anthropic over AI safety limits. This is the biggest week in AI news — here's everything you need to know.In this episode of The AI Report Podcast, we break down the 5 biggest AI stories from the week of February 23–27, 2026:🏛️ Pentagon vs. Anthropic — Defense Secretary Hegseth demands Anthropic remove safety guardrails from Claude or face a $200M contract cancellation and federal blacklisting💻 Perplexity Computer — A new AI agent system that orchestrates 19 models to execute complex tasks end-to-end📱 Samsung Galaxy S26 — Samsung's most AI-forward phone yet, featuring proactive AI nudges and built-in agents from Bixby, Gemini, and Perplexity🤝 Meta x AMD $60B Deal — Meta diversifies away from Nvidia with a massive 6-gigawatt AI chip agreement💰 OpenAI's $110B Round — SoftBank, Nvidia, and Amazon back the largest private funding round ever⏱️ Timestamps:0:00 – Introduction0:15 – Pentagon threatens to blacklist Anthropic1:20 – Perplexity launches Computer2:25 – Samsung unveils Galaxy S26 AI features3:30 – Meta and AMD sign $60 billion chip deal4:35 – OpenAI raises $110 billion5:40 – Closing📩 Subscribe to The AI Report newsletter for daily AI news: https://newsletter.theaireport.ai/subscribeGet Enterprise Training — upscaile.com

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 03 Mar 2026 20:45:01 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0430f8c2-34de-11f1-8875-c33ef1163879/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>OpenAI just raised $110 billion — the largest funding round in Silicon Valley history. Meanwhile, the Pentagon is threatening to blacklist Anthropic over AI safety limits. This is the biggest week in AI news — here's everything you need to know.In this episode of The AI Report Podcast, we break down the 5 biggest AI stories from the week of February 23–27, 2026:🏛️ Pentagon vs. Anthropic — Defense Secretary Hegseth demands Anthropic remove safety guardrails from Claude or face a $200M contract cancellation and federal blacklisting💻 Perplexity Computer — A new AI agent system that orchestrates 19 models to execute complex tasks end-to-end📱 Samsung Galaxy S26 — Samsung's most AI-forward phone yet, featuring proactive AI nudges and built-in agents from Bixby, Gemini, and Perplexity🤝 Meta x AMD $60B Deal — Meta diversifies away from Nvidia with a massive 6-gigawatt AI chip agreement💰 OpenAI's $110B Round — SoftBank, Nvidia, and Amazon back the largest private funding round ever⏱️ Timestamps:0:00 – Introduction0:15 – Pentagon threatens to blacklist Anthropic1:20 – Perplexity launches Computer2:25 – Samsung unveils Galaxy S26 AI features3:30 – Meta and AMD sign $60 billion chip deal4:35 – OpenAI raises $110 billion5:40 – Closing📩 Subscribe to The AI Report newsletter for daily AI news: https://newsletter.theaireport.ai/subscribeGet Enterprise Training — upscaile.com

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>OpenAI just raised $110 billion — the largest funding round in Silicon Valley history. Meanwhile, the Pentagon is threatening to blacklist Anthropic over AI safety limits. This is the biggest week in AI news — here's everything you need to know.In this episode of The AI Report Podcast, we break down the 5 biggest AI stories from the week of February 23–27, 2026:🏛️ Pentagon vs. Anthropic — Defense Secretary Hegseth demands Anthropic remove safety guardrails from Claude or face a $200M contract cancellation and federal blacklisting💻 Perplexity Computer — A new AI agent system that orchestrates 19 models to execute complex tasks end-to-end📱 Samsung Galaxy S26 — Samsung's most AI-forward phone yet, featuring proactive AI nudges and built-in agents from Bixby, Gemini, and Perplexity🤝 Meta x AMD $60B Deal — Meta diversifies away from Nvidia with a massive 6-gigawatt AI chip agreement💰 OpenAI's $110B Round — SoftBank, Nvidia, and Amazon back the largest private funding round ever⏱️ Timestamps:0:00 – Introduction0:15 – Pentagon threatens to blacklist Anthropic1:20 – Perplexity launches Computer2:25 – Samsung unveils Galaxy S26 AI features3:30 – Meta and AMD sign $60 billion chip deal4:35 – OpenAI raises $110 billion5:40 – Closing📩 Subscribe to The AI Report newsletter for daily AI news: https://newsletter.theaireport.ai/subscribeGet Enterprise Training — upscaile.com</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>384</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG1113097108.mp3?updated=1776261302" length="0" type="audio/mpeg"/>
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    <item>
      <title>Stanford x Upscaile: How We Taught AI Filmmaking to 50+ Students (Full Class)</title>
      <description>Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass — From Prompting Fundamentals to Full AI Short Film ProductionIn this full Stanford class recording, Arturo Ferreira walks students through the complete creative AI workflow — from foundational prompting techniques to producing a short sci-fi film using only AI tools. The session covers everything from how tokenization and probability engines actually work to building consistent characters and visual styles across an entire production.Arturo demonstrates how he created a multi-character, fully narrated sci-fi short film in just 48 hours using ChatGPT, Sora, Runway ML, 11 Labs, and Final Cut Pro. Students follow along with hands-on exercises, learning the exact prompting frameworks used to go from basic one-line prompts to production-quality AI video output.Key Topics CoveredThe difference between artificial intelligence, machine learning, deep learning, and generative AIWhy AI is a probability engine, not a thinking machine, and why that matters for promptingThree pillars of effective prompting: clarity, context, and specificityHow tokenization works (word-based, character-based, and phrase-based)Using temperature settings to control AI creativity and determinismHashtag prompting technique to create signposts and organize complex promptsRetrieval Augmented Generation (RAG) for uploading references and refining outputTree of Thought technique for generating multiple creative options simultaneouslyCharacter Lock, Style Lock, and Camera Controls for visual consistency across scenesBuilding a complete AI short film workflow from storyboard to final edit in 48 hoursEpisode Timestamps00:00 - Introduction and course overview at Stanford04:18 - How smart is AI? Why AI is fast, not smart06:20 - Tokenization explained: word-based, character-based, phrase-based07:40 - Hallucinations are a feature, not a bug09:59 - Three pillars of prompting: clarity, context, specificity16:41 - Temperature settings for controlling AI creativity21:46 - Retrieval Augmented Generation (RAG) explained27:00 - Hashtag prompting technique for advanced prompt organization32:52 - Tree of Thought technique for multiple creative solutions38:23 - Hands-on with Sora: creating AI video from prompts52:56 - Hashtag prompting vs basic prompting: side-by-side video comparison1:02:37 - Full AI short film reveal: 48-hour sci-fi production1:05:15 - Character Lock, Style Lock, and Camera Controls1:18:46 - Runway ML workflow for reference-shot-to-video production1:19:31 - Using 11 Labs for AI audio and sound effects1:23:09 - System prompts, custom instructions, and persistent memoryAbout Liam LawsonArturo Ferriera is an AI educator and creative technologist who teaches enterprise-level AI training and creative AI workshops. He partnered with Stanford to deliver this masterclass on AI for creativity, covering prompting fundamentals through advanced AI filmmaking techniques. Liam specializes in making generative AI accessible for creative professionals at all skill levels.About UpscaileUpscaile delivers enterprise AI training designed to help teams integrate generative AI into their creative and professional workflows. The company partners with leading institutions like Stanford to provide hands-on AI education that bridges the gap between technical capability and practical creative application.Resources MentionedChatGPT (OpenAI)Sora by OpenAIRunway ML11 LabsFinal Cut Pro / iMovie / Adobe PremiereTree of Thought and Chain of Thought prompting techniquesRetrieval Augmented Generation (RAG)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AIFilmmaking #StanfordAI #GenerativeAI #AIforCreatives #PromptEngineering #ChatGPT #Sora #RunwayML #ElevenLabs #AIVideo #AICreativity #AITools #AITraining #Upscaile #ContentCreation

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 26 Feb 2026 20:45:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/04a4bc08-34de-11f1-8875-035d044fbf77/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass — From Prompting Fundamentals to Full AI Short Film ProductionIn this full Stanford class recording, Arturo Ferreira walks students through the complete creative AI workflow — from foundational prompting techniques to producing a short sci-fi film using only AI tools. The session covers everything from how tokenization and probability engines actually work to building consistent characters and visual styles across an entire production.Arturo demonstrates how he created a multi-character, fully narrated sci-fi short film in just 48 hours using ChatGPT, Sora, Runway ML, 11 Labs, and Final Cut Pro. Students follow along with hands-on exercises, learning the exact prompting frameworks used to go from basic one-line prompts to production-quality AI video output.Key Topics CoveredThe difference between artificial intelligence, machine learning, deep learning, and generative AIWhy AI is a probability engine, not a thinking machine, and why that matters for promptingThree pillars of effective prompting: clarity, context, and specificityHow tokenization works (word-based, character-based, and phrase-based)Using temperature settings to control AI creativity and determinismHashtag prompting technique to create signposts and organize complex promptsRetrieval Augmented Generation (RAG) for uploading references and refining outputTree of Thought technique for generating multiple creative options simultaneouslyCharacter Lock, Style Lock, and Camera Controls for visual consistency across scenesBuilding a complete AI short film workflow from storyboard to final edit in 48 hoursEpisode Timestamps00:00 - Introduction and course overview at Stanford04:18 - How smart is AI? Why AI is fast, not smart06:20 - Tokenization explained: word-based, character-based, phrase-based07:40 - Hallucinations are a feature, not a bug09:59 - Three pillars of prompting: clarity, context, specificity16:41 - Temperature settings for controlling AI creativity21:46 - Retrieval Augmented Generation (RAG) explained27:00 - Hashtag prompting technique for advanced prompt organization32:52 - Tree of Thought technique for multiple creative solutions38:23 - Hands-on with Sora: creating AI video from prompts52:56 - Hashtag prompting vs basic prompting: side-by-side video comparison1:02:37 - Full AI short film reveal: 48-hour sci-fi production1:05:15 - Character Lock, Style Lock, and Camera Controls1:18:46 - Runway ML workflow for reference-shot-to-video production1:19:31 - Using 11 Labs for AI audio and sound effects1:23:09 - System prompts, custom instructions, and persistent memoryAbout Liam LawsonArturo Ferriera is an AI educator and creative technologist who teaches enterprise-level AI training and creative AI workshops. He partnered with Stanford to deliver this masterclass on AI for creativity, covering prompting fundamentals through advanced AI filmmaking techniques. Liam specializes in making generative AI accessible for creative professionals at all skill levels.About UpscaileUpscaile delivers enterprise AI training designed to help teams integrate generative AI into their creative and professional workflows. The company partners with leading institutions like Stanford to provide hands-on AI education that bridges the gap between technical capability and practical creative application.Resources MentionedChatGPT (OpenAI)Sora by OpenAIRunway ML11 LabsFinal Cut Pro / iMovie / Adobe PremiereTree of Thought and Chain of Thought prompting techniquesRetrieval Augmented Generation (RAG)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AIFilmmaking #StanfordAI #GenerativeAI #AIforCreatives #PromptEngineering #ChatGPT #Sora #RunwayML #ElevenLabs #AIVideo #AICreativity #AITools #AITraining #Upscaile #ContentCreation

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Upscaile Partnered with Stanford to Teach a 90-Minute AI for Creativity Masterclass — From Prompting Fundamentals to Full AI Short Film ProductionIn this full Stanford class recording, Arturo Ferreira walks students through the complete creative AI workflow — from foundational prompting techniques to producing a short sci-fi film using only AI tools. The session covers everything from how tokenization and probability engines actually work to building consistent characters and visual styles across an entire production.Arturo demonstrates how he created a multi-character, fully narrated sci-fi short film in just 48 hours using ChatGPT, Sora, Runway ML, 11 Labs, and Final Cut Pro. Students follow along with hands-on exercises, learning the exact prompting frameworks used to go from basic one-line prompts to production-quality AI video output.Key Topics CoveredThe difference between artificial intelligence, machine learning, deep learning, and generative AIWhy AI is a probability engine, not a thinking machine, and why that matters for promptingThree pillars of effective prompting: clarity, context, and specificityHow tokenization works (word-based, character-based, and phrase-based)Using temperature settings to control AI creativity and determinismHashtag prompting technique to create signposts and organize complex promptsRetrieval Augmented Generation (RAG) for uploading references and refining outputTree of Thought technique for generating multiple creative options simultaneouslyCharacter Lock, Style Lock, and Camera Controls for visual consistency across scenesBuilding a complete AI short film workflow from storyboard to final edit in 48 hoursEpisode Timestamps00:00 - Introduction and course overview at Stanford04:18 - How smart is AI? Why AI is fast, not smart06:20 - Tokenization explained: word-based, character-based, phrase-based07:40 - Hallucinations are a feature, not a bug09:59 - Three pillars of prompting: clarity, context, specificity16:41 - Temperature settings for controlling AI creativity21:46 - Retrieval Augmented Generation (RAG) explained27:00 - Hashtag prompting technique for advanced prompt organization32:52 - Tree of Thought technique for multiple creative solutions38:23 - Hands-on with Sora: creating AI video from prompts52:56 - Hashtag prompting vs basic prompting: side-by-side video comparison1:02:37 - Full AI short film reveal: 48-hour sci-fi production1:05:15 - Character Lock, Style Lock, and Camera Controls1:18:46 - Runway ML workflow for reference-shot-to-video production1:19:31 - Using 11 Labs for AI audio and sound effects1:23:09 - System prompts, custom instructions, and persistent memoryAbout Liam LawsonArturo Ferriera is an AI educator and creative technologist who teaches enterprise-level AI training and creative AI workshops. He partnered with Stanford to deliver this masterclass on AI for creativity, covering prompting fundamentals through advanced AI filmmaking techniques. Liam specializes in making generative AI accessible for creative professionals at all skill levels.About UpscaileUpscaile delivers enterprise AI training designed to help teams integrate generative AI into their creative and professional workflows. The company partners with leading institutions like Stanford to provide hands-on AI education that bridges the gap between technical capability and practical creative application.Resources MentionedChatGPT (OpenAI)Sora by OpenAIRunway ML11 LabsFinal Cut Pro / iMovie / Adobe PremiereTree of Thought and Chain of Thought prompting techniquesRetrieval Augmented Generation (RAG)Partner LinksBook Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#AIFilmmaking #StanfordAI #GenerativeAI #AIforCreatives #PromptEngineering #ChatGPT #Sora #RunwayML #ElevenLabs #AIVideo #AICreativity #AITools #AITraining #Upscaile #ContentCreation</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>5184</itunes:duration>
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    <item>
      <title>How to save $100M in Tariffs with 1 Platform | Peter Swartz, Altana</title>
      <description>In this episode, Peter Swartz, Co-Founder and Chief Science Officer at Altana, reveals how the company's AI-powered supply chain knowledge graph has helped stop hundreds of millions of dollars in forced labor goods from crossing borders and contributed to some of the largest counter-narcotics seizures in investigators' careers. Peter shares the real-world impact Altana is making across both the public and private sectors.Peter breaks down how Altana's multi-tier supply chain visibility works to trace forced labor cotton through global networks, how dual-use chemicals are being diverted into fentanyl production, and how the platform helps governments and enterprises collaborate to avoid billions of dollars in trade disruptions while saving hundreds of millions in tariff fees.Key Topics Covered- How Altana blocked hundreds of millions of dollars in forced labor goods at U.S. borders- The role of AI knowledge graphs in mapping multi-tier global supply chains- How Altana supports CBP enforcement of the Uyghur Forced Labor Prevention Act- Product passports and how they expedite legitimate goods through customs- The difference between forced labor entering legit supply chains vs. legit goods entering illicit ones- How logistics companies use Altana to prevent their networks from being misused- Proactive vs. reactive approaches to supply chain risk using probabilistic AI models- Scenario modeling for geopolitical disruptions including Taiwan and global conflicts- Saving billions in supply chain disruptions and hundreds of millions in tariff feesEpisode Timestamps00:00 - Introduction and overview of Altana's real-world impact00:41 - Understanding forced labor as a multi-tier supply chain problem03:09 - Hundreds of millions in forced labor goods stopped at borders03:45 - How the AI knowledge graph maps global supply chain connections04:15 - Working with CBP on the Uyghur Forced Labor Prevention Act04:35 - Product passports and expediting goods through customs04:51 - Counter-narcotics and the dual-use chemical problem05:45 - Helping logistics companies stop network misuse06:27 - From alert to action and the system handoff process06:49 - Responsible AI and the role of human-in-the-loop decisions07:33 - Proactive vs. reactive supply chain intelligence08:08 - Scenario modeling for geopolitical disruptions and resiliencyAbout Peter SwartzPeter Swartz is Co-Founder and Chief Science Officer at Altana. He has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the U.S. Court of International Trade, and the National Academies of Medicine. Previously, Peter was Head of Data Science at Panjiva, listed as one of Fast Company's most innovative data science companies in 2018 and later acquired by S&amp;P Global. He holds patents in machine learning and global trade, and completed his education at Yale, MIT, and EPFL.About AltanaAltana is the world's first Value Chain Management System, providing AI-powered supply chain intelligence to governments, enterprises, and logistics providers. The platform is built on a proprietary knowledge graph comprising more than 2.8 billion shipments, tracking over 500 million companies and 850 million facilities globally. Altana covers more than 50% of global trade, making it the most comprehensive and accurate supply chain map available.Resources Mentioned- Altana Atlas platform and AI knowledge graph- U.S. Customs and Border Protection (CBP)- Uyghur Forced Labor Prevention Act (UFLPA)- Product passports for cross-border compliance- Altana's disruption and tariff scenario modeling toolsPeter's Socials:LinkedIn — https://www.linkedin.com/in/pgswartz/Partner LinksBook Enterprise Training — https://www.upscaile.com/

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 19 Feb 2026 20:45:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/050e7b3e-34de-11f1-8875-e3dc11097bb7/image/e18f6fa64eec085e364066b4e71f2fd5.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Peter Swartz, Co-Founder and Chief Science Officer at Altana, reveals how the company's AI-powered supply chain knowledge graph has helped stop hundreds of millions of dollars in forced labor goods from crossing borders and contributed to some of the largest counter-narcotics seizures in investigators' careers. Peter shares the real-world impact Altana is making across both the public and private sectors.Peter breaks down how Altana's multi-tier supply chain visibility works to trace forced labor cotton through global networks, how dual-use chemicals are being diverted into fentanyl production, and how the platform helps governments and enterprises collaborate to avoid billions of dollars in trade disruptions while saving hundreds of millions in tariff fees.Key Topics Covered- How Altana blocked hundreds of millions of dollars in forced labor goods at U.S. borders- The role of AI knowledge graphs in mapping multi-tier global supply chains- How Altana supports CBP enforcement of the Uyghur Forced Labor Prevention Act- Product passports and how they expedite legitimate goods through customs- The difference between forced labor entering legit supply chains vs. legit goods entering illicit ones- How logistics companies use Altana to prevent their networks from being misused- Proactive vs. reactive approaches to supply chain risk using probabilistic AI models- Scenario modeling for geopolitical disruptions including Taiwan and global conflicts- Saving billions in supply chain disruptions and hundreds of millions in tariff feesEpisode Timestamps00:00 - Introduction and overview of Altana's real-world impact00:41 - Understanding forced labor as a multi-tier supply chain problem03:09 - Hundreds of millions in forced labor goods stopped at borders03:45 - How the AI knowledge graph maps global supply chain connections04:15 - Working with CBP on the Uyghur Forced Labor Prevention Act04:35 - Product passports and expediting goods through customs04:51 - Counter-narcotics and the dual-use chemical problem05:45 - Helping logistics companies stop network misuse06:27 - From alert to action and the system handoff process06:49 - Responsible AI and the role of human-in-the-loop decisions07:33 - Proactive vs. reactive supply chain intelligence08:08 - Scenario modeling for geopolitical disruptions and resiliencyAbout Peter SwartzPeter Swartz is Co-Founder and Chief Science Officer at Altana. He has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the U.S. Court of International Trade, and the National Academies of Medicine. Previously, Peter was Head of Data Science at Panjiva, listed as one of Fast Company's most innovative data science companies in 2018 and later acquired by S&amp;P Global. He holds patents in machine learning and global trade, and completed his education at Yale, MIT, and EPFL.About AltanaAltana is the world's first Value Chain Management System, providing AI-powered supply chain intelligence to governments, enterprises, and logistics providers. The platform is built on a proprietary knowledge graph comprising more than 2.8 billion shipments, tracking over 500 million companies and 850 million facilities globally. Altana covers more than 50% of global trade, making it the most comprehensive and accurate supply chain map available.Resources Mentioned- Altana Atlas platform and AI knowledge graph- U.S. Customs and Border Protection (CBP)- Uyghur Forced Labor Prevention Act (UFLPA)- Product passports for cross-border compliance- Altana's disruption and tariff scenario modeling toolsPeter's Socials:LinkedIn — https://www.linkedin.com/in/pgswartz/Partner LinksBook Enterprise Training — https://www.upscaile.com/

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, Peter Swartz, Co-Founder and Chief Science Officer at Altana, reveals how the company's AI-powered supply chain knowledge graph has helped stop hundreds of millions of dollars in forced labor goods from crossing borders and contributed to some of the largest counter-narcotics seizures in investigators' careers. Peter shares the real-world impact Altana is making across both the public and private sectors.Peter breaks down how Altana's multi-tier supply chain visibility works to trace forced labor cotton through global networks, how dual-use chemicals are being diverted into fentanyl production, and how the platform helps governments and enterprises collaborate to avoid billions of dollars in trade disruptions while saving hundreds of millions in tariff fees.Key Topics Covered- How Altana blocked hundreds of millions of dollars in forced labor goods at U.S. borders- The role of AI knowledge graphs in mapping multi-tier global supply chains- How Altana supports CBP enforcement of the Uyghur Forced Labor Prevention Act- Product passports and how they expedite legitimate goods through customs- The difference between forced labor entering legit supply chains vs. legit goods entering illicit ones- How logistics companies use Altana to prevent their networks from being misused- Proactive vs. reactive approaches to supply chain risk using probabilistic AI models- Scenario modeling for geopolitical disruptions including Taiwan and global conflicts- Saving billions in supply chain disruptions and hundreds of millions in tariff feesEpisode Timestamps00:00 - Introduction and overview of Altana's real-world impact00:41 - Understanding forced labor as a multi-tier supply chain problem03:09 - Hundreds of millions in forced labor goods stopped at borders03:45 - How the AI knowledge graph maps global supply chain connections04:15 - Working with CBP on the Uyghur Forced Labor Prevention Act04:35 - Product passports and expediting goods through customs04:51 - Counter-narcotics and the dual-use chemical problem05:45 - Helping logistics companies stop network misuse06:27 - From alert to action and the system handoff process06:49 - Responsible AI and the role of human-in-the-loop decisions07:33 - Proactive vs. reactive supply chain intelligence08:08 - Scenario modeling for geopolitical disruptions and resiliencyAbout Peter SwartzPeter Swartz is Co-Founder and Chief Science Officer at Altana. He has spoken on global trade, supply chains, and machine learning at the World Trade Organization, the World Customs Organization, the U.S. Court of International Trade, and the National Academies of Medicine. Previously, Peter was Head of Data Science at Panjiva, listed as one of Fast Company's most innovative data science companies in 2018 and later acquired by S&amp;P Global. He holds patents in machine learning and global trade, and completed his education at Yale, MIT, and EPFL.About AltanaAltana is the world's first Value Chain Management System, providing AI-powered supply chain intelligence to governments, enterprises, and logistics providers. The platform is built on a proprietary knowledge graph comprising more than 2.8 billion shipments, tracking over 500 million companies and 850 million facilities globally. Altana covers more than 50% of global trade, making it the most comprehensive and accurate supply chain map available.Resources Mentioned- Altana Atlas platform and AI knowledge graph- U.S. Customs and Border Protection (CBP)- Uyghur Forced Labor Prevention Act (UFLPA)- Product passports for cross-border compliance- Altana's disruption and tariff scenario modeling toolsPeter's Socials:LinkedIn — https://www.linkedin.com/in/pgswartz/Partner LinksBook Enterprise Training — https://www.upscaile.com/</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2987</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[95e704bc-25bc-403c-a63d-613b1c44a605]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1879647030.mp3?updated=1776261624" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Musk's LUNAR AI Factory + ChatGPT Now Has Ads | AI News in 5</title>
      <description>📢 This Week in AI: ChatGPT Ads, Data Center Freezes &amp; Lunar FactoriesAI isn’t slowing down—it’s changing how we search, build infrastructure, and even think about space. This week: OpenAI switches on ads inside ChatGPT, U.S. states move to freeze new AI data centers, Elon Musk pitches a lunar AI satellite factory, China turns to AI to hunt corruption, and Anthropic raises a massive $30 billion war chest. ⏱️ TIMESTAMPS:[0:00] - Intro [0:15] - OpenAI Puts ADS in ChatGPT ][2:00] - States Hit Pause on AI Data Centers[3:45] - Elon Musk’s Lunar AI Factory[5:30] - China Uses AI to Catch Corrupt Officials[7:10] - Anthropic Raises $30 BILLION at $380B Valuation🎯 WHY THIS MATTERS:These aren’t just tech headlines—they’re signals about how AI business models, infrastructure, regulation, and capital flows are shifting in real time. Whether you’re planning AI deployments, managing risk, or just trying to stay ahead, understanding these moves is critical.💡 ABOUT THIS CHANNEL:AI News in 5 breaks down the week’s most important AI developments in under 5 minutes. No hype, no fear‑mongering—just clear analysis of what’s happening and why it matters to you.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Wed, 18 Feb 2026 20:45:01 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/057bc95a-34de-11f1-8875-07dc079fae93/image/a36f6f0494e732c58318884b2dfe2148.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>📢 This Week in AI: ChatGPT Ads, Data Center Freezes &amp; Lunar FactoriesAI isn’t slowing down—it’s changing how we search, build infrastructure, and even think about space. This week: OpenAI switches on ads inside ChatGPT, U.S. states move to freeze new AI data centers, Elon Musk pitches a lunar AI satellite factory, China turns to AI to hunt corruption, and Anthropic raises a massive $30 billion war chest. ⏱️ TIMESTAMPS:[0:00] - Intro [0:15] - OpenAI Puts ADS in ChatGPT ][2:00] - States Hit Pause on AI Data Centers[3:45] - Elon Musk’s Lunar AI Factory[5:30] - China Uses AI to Catch Corrupt Officials[7:10] - Anthropic Raises $30 BILLION at $380B Valuation🎯 WHY THIS MATTERS:These aren’t just tech headlines—they’re signals about how AI business models, infrastructure, regulation, and capital flows are shifting in real time. Whether you’re planning AI deployments, managing risk, or just trying to stay ahead, understanding these moves is critical.💡 ABOUT THIS CHANNEL:AI News in 5 breaks down the week’s most important AI developments in under 5 minutes. No hype, no fear‑mongering—just clear analysis of what’s happening and why it matters to you.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>📢 This Week in AI: ChatGPT Ads, Data Center Freezes &amp; Lunar FactoriesAI isn’t slowing down—it’s changing how we search, build infrastructure, and even think about space. This week: OpenAI switches on ads inside ChatGPT, U.S. states move to freeze new AI data centers, Elon Musk pitches a lunar AI satellite factory, China turns to AI to hunt corruption, and Anthropic raises a massive $30 billion war chest. ⏱️ TIMESTAMPS:[0:00] - Intro [0:15] - OpenAI Puts ADS in ChatGPT ][2:00] - States Hit Pause on AI Data Centers[3:45] - Elon Musk’s Lunar AI Factory[5:30] - China Uses AI to Catch Corrupt Officials[7:10] - Anthropic Raises $30 BILLION at $380B Valuation🎯 WHY THIS MATTERS:These aren’t just tech headlines—they’re signals about how AI business models, infrastructure, regulation, and capital flows are shifting in real time. Whether you’re planning AI deployments, managing risk, or just trying to stay ahead, understanding these moves is critical.💡 ABOUT THIS CHANNEL:AI News in 5 breaks down the week’s most important AI developments in under 5 minutes. No hype, no fear‑mongering—just clear analysis of what’s happening and why it matters to you.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>357</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG4324288368.mp3?updated=1776261453" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> Elon Musk Just Built a $1.25 TRILLION AI-Space Empire | AI News in 5</title>
      <description>📢 Trillion-Dollar Mergers, Software Selloffs &amp; the UK's First AI Town
Anthropic drops Opus 4.6 and triggers a stock selloff, Microsoft's Copilot faces a user crisis, Musk merges SpaceX with xAI in a $1.25 trillion deal, and the UK government turns Barnsley into a tech town. 4 major AI stories in under 5 minutes.
⏱️ TIMESTAMPS:
0:00 - Intro0:15 - Anthropic Launches Claude Opus 4.61:15 - Microsoft Copilot Loses Ground to ChatGPT2:15 - Musk Merges SpaceX &amp; xAI in $1.25T Deal3:25 - UK Names Barnsley Its First Tech Town4:30 - Wrap-up
📰 SOURCES &amp; ARTICLES:

Anthropic Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6


Microsoft Copilot Challenges: https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28


SpaceX-xAI Merger: https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html


Barnsley Tech Town: https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town


💡 ABOUT THIS CHANNEL:
AI News in 5 breaks down the week's most important AI developments in under 5 minutes. No hype, no fear-mongering—just clear analysis of what's actually happening and why it matters to you.
🎙️ THE AI REPORT PODCASTWeekly deep-dive conversations with AI operators building the future.Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured
📬 STAY CONNECTEDNewsletter: https://newsletter.theaireport.ai/subscribeEnterprise Training: https://www.upscaile.com
#AI #ArtificialIntelligence #OpenAI #Anthropic #Microsoft #Copilot #SpaceX #xAI #ElonMusk #TechNews #AINews #FutureOfWork #ChatGPT #Claude #WeeklyAI #TechTrends2026 #Barnsley #TechTown #UKTech

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 12 Feb 2026 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/05e40ccc-34de-11f1-8875-d7a6cc85a6fc/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>📢 Trillion-Dollar Mergers, Software Selloffs &amp; the UK's First AI Town
Anthropic drops Opus 4.6 and triggers a stock selloff, Microsoft's Copilot faces a user crisis, Musk merges SpaceX with xAI in a $1.25 trillion deal, and the UK government turns Barnsley into a tech town. 4 major AI stories in under 5 minutes.
⏱️ TIMESTAMPS:
0:00 - Intro0:15 - Anthropic Launches Claude Opus 4.61:15 - Microsoft Copilot Loses Ground to ChatGPT2:15 - Musk Merges SpaceX &amp; xAI in $1.25T Deal3:25 - UK Names Barnsley Its First Tech Town4:30 - Wrap-up
📰 SOURCES &amp; ARTICLES:

Anthropic Claude Opus 4.6: https://www.anthropic.com/news/claude-opus-4-6


Microsoft Copilot Challenges: https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28


SpaceX-xAI Merger: https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html


Barnsley Tech Town: https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town


💡 ABOUT THIS CHANNEL:
AI News in 5 breaks down the week's most important AI developments in under 5 minutes. No hype, no fear-mongering—just clear analysis of what's actually happening and why it matters to you.
🎙️ THE AI REPORT PODCASTWeekly deep-dive conversations with AI operators building the future.Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured
📬 STAY CONNECTEDNewsletter: https://newsletter.theaireport.ai/subscribeEnterprise Training: https://www.upscaile.com
#AI #ArtificialIntelligence #OpenAI #Anthropic #Microsoft #Copilot #SpaceX #xAI #ElonMusk #TechNews #AINews #FutureOfWork #ChatGPT #Claude #WeeklyAI #TechTrends2026 #Barnsley #TechTown #UKTech

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>📢 Trillion-Dollar Mergers, Software Selloffs &amp; the UK's First AI Town</p><p>Anthropic drops Opus 4.6 and triggers a stock selloff, Microsoft's Copilot faces a user crisis, Musk merges SpaceX with xAI in a $1.25 trillion deal, and the UK government turns Barnsley into a tech town. 4 major AI stories in under 5 minutes.</p><p>⏱️ TIMESTAMPS:</p><p>0:00 - Intro0:15 - Anthropic Launches Claude Opus 4.61:15 - Microsoft Copilot Loses Ground to ChatGPT2:15 - Musk Merges SpaceX &amp; xAI in $1.25T Deal3:25 - UK Names Barnsley Its First Tech Town4:30 - Wrap-up</p><p>📰 SOURCES &amp; ARTICLES:</p><ul>
<li>Anthropic Claude Opus 4.6: <a href="https://www.anthropic.com/news/claude-opus-4-6">https://www.anthropic.com/news/claude-opus-4-6</a>
</li>
<li>Microsoft Copilot Challenges: <a href="https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28">https://www.wsj.com/tech/ai/microsofts-pivotal-ai-product-is-running-into-big-problems-ce235b28</a>
</li>
<li>SpaceX-xAI Merger: <a href="https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html">https://www.cnbc.com/2026/02/03/musk-xai-spacex-biggest-merger-ever.html</a>
</li>
<li>Barnsley Tech Town: <a href="https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town">https://www.gov.uk/government/news/barnsley-becomes-uks-first-government-backed-tech-town</a>
</li>
</ul><p>💡 ABOUT THIS CHANNEL:</p><p>AI News in 5 breaks down the week's most important AI developments in under 5 minutes. No hype, no fear-mongering—just clear analysis of what's actually happening and why it matters to you.</p><p>🎙️ THE AI REPORT PODCASTWeekly deep-dive conversations with AI operators building the future.Subscribe for full episodes: <a href="https://www.youtube.com/@the-AI-report-with-liam-lawson/featured">https://www.youtube.com/@the-AI-report-with-liam-lawson/featured</a></p><p>📬 STAY CONNECTEDNewsletter: <a href="https://newsletter.theaireport.ai/subscribe">https://newsletter.theaireport.ai/subscribe</a>Enterprise Training: <a href="https://www.upscaile.com">https://www.upscaile.com</a></p><p>#AI #ArtificialIntelligence #OpenAI #Anthropic #Microsoft #Copilot #SpaceX #xAI #ElonMusk #TechNews #AINews #FutureOfWork #ChatGPT #Claude #WeeklyAI #TechTrends2026 #Barnsley #TechTown #UKTech</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>260</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b306ecd0-dc85-41e3-a427-fe45ccbcbf22]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4505421707.mp3?updated=1776261504" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>He Took 300 Sales Calls in One Year to Build a Newsletter Agency | Louis Shulman</title>
      <description>Louis Shulman on Building a 15-Person Newsletter Agency, Taking 300 Sales Calls in One Year, and Why Email Marketing Is the Most Overlooked Growth Channel. Louis Shulman, founder of Orbit Marketing, returns to the show to reveal how he built a newsletter agency from scratch, scaled to 15 team members, and took over 300 sales calls in a single year. In this candid conversation, Louis shares why most B2B businesses are leaving massive opportunities on the table by ignoring email marketing.From running paid ads directly to newsletters to building full-funnel lead generation systems, Louis breaks down the exact playbook his agency uses to generate qualified meetings for clients. He also discusses the mindset shift from chasing revenue to obsessing over client results—and why that change transformed his business.Key Topics Covered:- Why email marketing remains the most overlooked channel for B2B businesses- The newsletter funnel strategy: running Facebook and Instagram ads to newsletter opt-ins- How to use surveys and Go High Level to qualify leads automatically- Transitioning from commodity service provider to fractional CMO- The difference between "founder growth hires" and "clone hires" when scaling- Why vanilla content gets ignored and opinionated writing drives responses- Building systems and playbooks that make agency work scalable- Using AI to overcome entrepreneurial fears and mental blockers- The shift from chasing client count to producing case studies- How Orbit Flows software was built as an internal tool then monetized- Why incentive alignment is the key to delivering client resultsEpisode Timestamps:00:00 - Introduction and catching up with Louis Shulman01:17 - What Orbit Marketing does and how the business evolved03:51 - Why every B2B business should have an email presence05:13 - Converting sales call rejections into future clients07:23 - Training writers to create opinionated, high-converting content08:47 - B2B vs DTC clients and strategic positioning11:16 - The "sawdust" strategy: monetizing byproducts of your business12:28 - Becoming a full-service marketing agency vs staying specialized16:35 - Finding intrinsic motivation beyond revenue growth20:32 - Is the agency model actually scalable?24:46 - Using AI to overcome fears and mental blockers27:06 - Hiring strategies: patience vs startup chaos mode30:31 - Orbit Flows: building software from internal toolsAbout Louis Shulman:Louis Shulman is the founder of Orbit Marketing, a newsletter agency that helps B2B companies generate qualified leads through email marketing and paid newsletter funnels. He also runs Orbit Metrics, a data and analytics consultancy for e-commerce brands spending $2M+ annually on ads, and Orbit Flows, a content creation and project management software built for newsletter teams.About Orbit Marketing:Orbit Marketing is a full-service newsletter agency specializing in B2B lead generation. The company writes and manages newsletters for dozens of clients, runs paid acquisition campaigns to newsletter opt-ins, and builds complete funnel systems using tools like Go High Level. With a team of 15, Orbit Marketing has written several hundred newsletter issues for clients across industries including finance, e-commerce, and professional services.Resources Mentioned:- Orbit Flows (content creation software)- Go High Level (funnel and CRM platform)- Facebook Ads Manager- Kai Bax (agency scaling strategies)- Alex Hormozi (business growth frameworks)Partner Links:Book Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#NewsletterMarketing #EmailMarketing #B2BLeadGeneration #AgencyGrowth #LouisShulman #OrbitMarketing #NewsletterAgency #PaidAds #ContentStrategy #Entrepreneurship #MarketingStrategy #FractionalCMO #StartupGrowth #AIinBusiness #EmailFunnels

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 05 Feb 2026 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/064cf2be-34de-11f1-8875-8f6130d8fcf3/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Louis Shulman on Building a 15-Person Newsletter Agency, Taking 300 Sales Calls in One Year, and Why Email Marketing Is the Most Overlooked Growth Channel. Louis Shulman, founder of Orbit Marketing, returns to the show to reveal how he built a newsletter agency from scratch, scaled to 15 team members, and took over 300 sales calls in a single year. In this candid conversation, Louis shares why most B2B businesses are leaving massive opportunities on the table by ignoring email marketing.From running paid ads directly to newsletters to building full-funnel lead generation systems, Louis breaks down the exact playbook his agency uses to generate qualified meetings for clients. He also discusses the mindset shift from chasing revenue to obsessing over client results—and why that change transformed his business.Key Topics Covered:- Why email marketing remains the most overlooked channel for B2B businesses- The newsletter funnel strategy: running Facebook and Instagram ads to newsletter opt-ins- How to use surveys and Go High Level to qualify leads automatically- Transitioning from commodity service provider to fractional CMO- The difference between "founder growth hires" and "clone hires" when scaling- Why vanilla content gets ignored and opinionated writing drives responses- Building systems and playbooks that make agency work scalable- Using AI to overcome entrepreneurial fears and mental blockers- The shift from chasing client count to producing case studies- How Orbit Flows software was built as an internal tool then monetized- Why incentive alignment is the key to delivering client resultsEpisode Timestamps:00:00 - Introduction and catching up with Louis Shulman01:17 - What Orbit Marketing does and how the business evolved03:51 - Why every B2B business should have an email presence05:13 - Converting sales call rejections into future clients07:23 - Training writers to create opinionated, high-converting content08:47 - B2B vs DTC clients and strategic positioning11:16 - The "sawdust" strategy: monetizing byproducts of your business12:28 - Becoming a full-service marketing agency vs staying specialized16:35 - Finding intrinsic motivation beyond revenue growth20:32 - Is the agency model actually scalable?24:46 - Using AI to overcome fears and mental blockers27:06 - Hiring strategies: patience vs startup chaos mode30:31 - Orbit Flows: building software from internal toolsAbout Louis Shulman:Louis Shulman is the founder of Orbit Marketing, a newsletter agency that helps B2B companies generate qualified leads through email marketing and paid newsletter funnels. He also runs Orbit Metrics, a data and analytics consultancy for e-commerce brands spending $2M+ annually on ads, and Orbit Flows, a content creation and project management software built for newsletter teams.About Orbit Marketing:Orbit Marketing is a full-service newsletter agency specializing in B2B lead generation. The company writes and manages newsletters for dozens of clients, runs paid acquisition campaigns to newsletter opt-ins, and builds complete funnel systems using tools like Go High Level. With a team of 15, Orbit Marketing has written several hundred newsletter issues for clients across industries including finance, e-commerce, and professional services.Resources Mentioned:- Orbit Flows (content creation software)- Go High Level (funnel and CRM platform)- Facebook Ads Manager- Kai Bax (agency scaling strategies)- Alex Hormozi (business growth frameworks)Partner Links:Book Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#NewsletterMarketing #EmailMarketing #B2BLeadGeneration #AgencyGrowth #LouisShulman #OrbitMarketing #NewsletterAgency #PaidAds #ContentStrategy #Entrepreneurship #MarketingStrategy #FractionalCMO #StartupGrowth #AIinBusiness #EmailFunnels

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Louis Shulman on Building a 15-Person Newsletter Agency, Taking 300 Sales Calls in One Year, and Why Email Marketing Is the Most Overlooked Growth Channel. Louis Shulman, founder of Orbit Marketing, returns to the show to reveal how he built a newsletter agency from scratch, scaled to 15 team members, and took over 300 sales calls in a single year. In this candid conversation, Louis shares why most B2B businesses are leaving massive opportunities on the table by ignoring email marketing.From running paid ads directly to newsletters to building full-funnel lead generation systems, Louis breaks down the exact playbook his agency uses to generate qualified meetings for clients. He also discusses the mindset shift from chasing revenue to obsessing over client results—and why that change transformed his business.Key Topics Covered:- Why email marketing remains the most overlooked channel for B2B businesses- The newsletter funnel strategy: running Facebook and Instagram ads to newsletter opt-ins- How to use surveys and Go High Level to qualify leads automatically- Transitioning from commodity service provider to fractional CMO- The difference between "founder growth hires" and "clone hires" when scaling- Why vanilla content gets ignored and opinionated writing drives responses- Building systems and playbooks that make agency work scalable- Using AI to overcome entrepreneurial fears and mental blockers- The shift from chasing client count to producing case studies- How Orbit Flows software was built as an internal tool then monetized- Why incentive alignment is the key to delivering client resultsEpisode Timestamps:00:00 - Introduction and catching up with Louis Shulman01:17 - What Orbit Marketing does and how the business evolved03:51 - Why every B2B business should have an email presence05:13 - Converting sales call rejections into future clients07:23 - Training writers to create opinionated, high-converting content08:47 - B2B vs DTC clients and strategic positioning11:16 - The "sawdust" strategy: monetizing byproducts of your business12:28 - Becoming a full-service marketing agency vs staying specialized16:35 - Finding intrinsic motivation beyond revenue growth20:32 - Is the agency model actually scalable?24:46 - Using AI to overcome fears and mental blockers27:06 - Hiring strategies: patience vs startup chaos mode30:31 - Orbit Flows: building software from internal toolsAbout Louis Shulman:Louis Shulman is the founder of Orbit Marketing, a newsletter agency that helps B2B companies generate qualified leads through email marketing and paid newsletter funnels. He also runs Orbit Metrics, a data and analytics consultancy for e-commerce brands spending $2M+ annually on ads, and Orbit Flows, a content creation and project management software built for newsletter teams.About Orbit Marketing:Orbit Marketing is a full-service newsletter agency specializing in B2B lead generation. The company writes and manages newsletters for dozens of clients, runs paid acquisition campaigns to newsletter opt-ins, and builds complete funnel systems using tools like Go High Level. With a team of 15, Orbit Marketing has written several hundred newsletter issues for clients across industries including finance, e-commerce, and professional services.Resources Mentioned:- Orbit Flows (content creation software)- Go High Level (funnel and CRM platform)- Facebook Ads Manager- Kai Bax (agency scaling strategies)- Alex Hormozi (business growth frameworks)Partner Links:Book Enterprise Training — https://www.upscaile.com/Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube#NewsletterMarketing #EmailMarketing #B2BLeadGeneration #AgencyGrowth #LouisShulman #OrbitMarketing #NewsletterAgency #PaidAds #ContentStrategy #Entrepreneurship #MarketingStrategy #FractionalCMO #StartupGrowth #AIinBusiness #EmailFunnels</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3429</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>OpenAI's $10 BILLION Cerebras Deal Explained + Google AI Controversy | AI News in 5</title>
      <description>This week in AI and tech: Google removes medical AI overviews after controversy, Anthropic launches Claude for Healthcare, Slackbot becomes a full AI agent, OpenAI signs a $10 billion deal with Cerebras, and Trump announces 25% tariffs on AI chips.

⏱️ TIMESTAMPS
00:00 Intro
00:30 Story #1: Google Pulls Medical AI Overviews
04:15 Story #2: Anthropic Launches Claude for Healthcare
08:45 Story #3: Slackbot Becomes AI Agent
13:20 Story #4: OpenAI's $10B Cerebras Deal
18:00 Story #5: Trump's 25% AI Chip Tariff
22:30 Final Thoughts

📰 STORY BREAKDOWN

🔴 GOOGLE PULLS MEDICAL AI OVERVIEWS
Following a Guardian investigation revealing misleading health advice, Google has removed AI Overviews from certain medical queries. The move raises questions about AI reliability in healthcare information and the challenges of deploying generative AI for health-related searches.

🏥 ANTHROPIC LAUNCHES CLAUDE FOR HEALTHCARE
Anthropic announced Claude for Healthcare, targeting administrative burden reduction in medical settings. The specialized version of Claude aims to help with clinical documentation, patient communication, and workflow optimization while maintaining HIPAA compliance.

💬 SLACKBOT BECOMES AI AGENT
Salesforce announces general availability of the new AI-powered Slackbot, transforming it from a simple bot into a personal AI agent for work. The upgraded Slackbot can handle complex tasks, answer questions using company knowledge, and automate workflows across Slack channels.

💻 OPENAI'S $10B CEREBRAS DEAL
OpenAI partners with Cerebras Systems in a deal worth over $10 billion to leverage their wafer-scale AI chips. This massive partnership could make ChatGPT exponentially faster by utilizing Cerebras's revolutionary chip architecture, which houses millions of cores on a single wafer.

🇺🇸 TRUMP'S 25% AI CHIP TARIFF
President Trump imposes 25% tariffs on certain advanced AI chip imports while simultaneously clearing the way for Nvidia H200 sales to China. The policy creates a complex landscape for semiconductor trade with significant implications for AI development and US-China tech relations.

📚 SOURCES &amp; LINKS
Story #1: https://www.theguardian.com/technology/2026/jan/05/google-ai-overviews-misleading-health-advice
Story #2: https://www.anthropic.com/news/healthcare-life-sciences
Story #3: https://www.salesforce.com/news/stories/slackbot-personal-agent-work/
Story #4: https://openai.com/index/cerebras-partnership/
Story #5: https://www.cnbc.com/2026/01/14/trump-nvidia-h200-china-ai-chips.html

🔔 SUBSCRIBE for weekly AI and tech news coverage
💬 What story surprised you most? Comment below!

#AI #TechNews #Google #OpenAI #Anthropic #Salesforce #Slack #Trump #Tariffs #ArtificialIntelligence #ChatGPT #Claude #MachineLearning #Technology #WeeklyNews

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 22 Jan 2026 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/06bb711c-34de-11f1-8875-3be3206514d8/image/e920ceff2746f28c3d1e2c25b09f5b0d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week in AI and tech: Google removes medical AI overviews after controversy, Anthropic launches Claude for Healthcare, Slackbot becomes a full AI agent, OpenAI signs a $10 billion deal with Cerebras, and Trump announces 25% tariffs on AI chips.

⏱️ TIMESTAMPS
00:00 Intro
00:30 Story #1: Google Pulls Medical AI Overviews
04:15 Story #2: Anthropic Launches Claude for Healthcare
08:45 Story #3: Slackbot Becomes AI Agent
13:20 Story #4: OpenAI's $10B Cerebras Deal
18:00 Story #5: Trump's 25% AI Chip Tariff
22:30 Final Thoughts

📰 STORY BREAKDOWN

🔴 GOOGLE PULLS MEDICAL AI OVERVIEWS
Following a Guardian investigation revealing misleading health advice, Google has removed AI Overviews from certain medical queries. The move raises questions about AI reliability in healthcare information and the challenges of deploying generative AI for health-related searches.

🏥 ANTHROPIC LAUNCHES CLAUDE FOR HEALTHCARE
Anthropic announced Claude for Healthcare, targeting administrative burden reduction in medical settings. The specialized version of Claude aims to help with clinical documentation, patient communication, and workflow optimization while maintaining HIPAA compliance.

💬 SLACKBOT BECOMES AI AGENT
Salesforce announces general availability of the new AI-powered Slackbot, transforming it from a simple bot into a personal AI agent for work. The upgraded Slackbot can handle complex tasks, answer questions using company knowledge, and automate workflows across Slack channels.

💻 OPENAI'S $10B CEREBRAS DEAL
OpenAI partners with Cerebras Systems in a deal worth over $10 billion to leverage their wafer-scale AI chips. This massive partnership could make ChatGPT exponentially faster by utilizing Cerebras's revolutionary chip architecture, which houses millions of cores on a single wafer.

🇺🇸 TRUMP'S 25% AI CHIP TARIFF
President Trump imposes 25% tariffs on certain advanced AI chip imports while simultaneously clearing the way for Nvidia H200 sales to China. The policy creates a complex landscape for semiconductor trade with significant implications for AI development and US-China tech relations.

📚 SOURCES &amp; LINKS
Story #1: https://www.theguardian.com/technology/2026/jan/05/google-ai-overviews-misleading-health-advice
Story #2: https://www.anthropic.com/news/healthcare-life-sciences
Story #3: https://www.salesforce.com/news/stories/slackbot-personal-agent-work/
Story #4: https://openai.com/index/cerebras-partnership/
Story #5: https://www.cnbc.com/2026/01/14/trump-nvidia-h200-china-ai-chips.html

🔔 SUBSCRIBE for weekly AI and tech news coverage
💬 What story surprised you most? Comment below!

#AI #TechNews #Google #OpenAI #Anthropic #Salesforce #Slack #Trump #Tariffs #ArtificialIntelligence #ChatGPT #Claude #MachineLearning #Technology #WeeklyNews

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week in AI and tech: Google removes medical AI overviews after controversy, Anthropic launches Claude for Healthcare, Slackbot becomes a full AI agent, OpenAI signs a $10 billion deal with Cerebras, and Trump announces 25% tariffs on AI chips.</p><p><br></p><p>⏱️ TIMESTAMPS</p><p>00:00 Intro</p><p>00:30 Story #1: Google Pulls Medical AI Overviews</p><p>04:15 Story #2: Anthropic Launches Claude for Healthcare</p><p>08:45 Story #3: Slackbot Becomes AI Agent</p><p>13:20 Story #4: OpenAI's $10B Cerebras Deal</p><p>18:00 Story #5: Trump's 25% AI Chip Tariff</p><p>22:30 Final Thoughts</p><p><br></p><p>📰 STORY BREAKDOWN</p><p><br></p><p>🔴 GOOGLE PULLS MEDICAL AI OVERVIEWS</p><p>Following a Guardian investigation revealing misleading health advice, Google has removed AI Overviews from certain medical queries. The move raises questions about AI reliability in healthcare information and the challenges of deploying generative AI for health-related searches.</p><p><br></p><p>🏥 ANTHROPIC LAUNCHES CLAUDE FOR HEALTHCARE</p><p>Anthropic announced Claude for Healthcare, targeting administrative burden reduction in medical settings. The specialized version of Claude aims to help with clinical documentation, patient communication, and workflow optimization while maintaining HIPAA compliance.</p><p><br></p><p>💬 SLACKBOT BECOMES AI AGENT</p><p>Salesforce announces general availability of the new AI-powered Slackbot, transforming it from a simple bot into a personal AI agent for work. The upgraded Slackbot can handle complex tasks, answer questions using company knowledge, and automate workflows across Slack channels.</p><p><br></p><p>💻 OPENAI'S $10B CEREBRAS DEAL</p><p>OpenAI partners with Cerebras Systems in a deal worth over $10 billion to leverage their wafer-scale AI chips. This massive partnership could make ChatGPT exponentially faster by utilizing Cerebras's revolutionary chip architecture, which houses millions of cores on a single wafer.</p><p><br></p><p>🇺🇸 TRUMP'S 25% AI CHIP TARIFF</p><p>President Trump imposes 25% tariffs on certain advanced AI chip imports while simultaneously clearing the way for Nvidia H200 sales to China. The policy creates a complex landscape for semiconductor trade with significant implications for AI development and US-China tech relations.</p><p><br></p><p>📚 SOURCES &amp; LINKS</p><p>Story #1: https://www.theguardian.com/technology/2026/jan/05/google-ai-overviews-misleading-health-advice</p><p>Story #2: https://www.anthropic.com/news/healthcare-life-sciences</p><p>Story #3: https://www.salesforce.com/news/stories/slackbot-personal-agent-work/</p><p>Story #4: https://openai.com/index/cerebras-partnership/</p><p>Story #5: https://www.cnbc.com/2026/01/14/trump-nvidia-h200-china-ai-chips.html</p><p><br></p><p>🔔 SUBSCRIBE for weekly AI and tech news coverage</p><p>💬 What story surprised you most? Comment below!</p><p><br></p><p>#AI #TechNews #Google #OpenAI #Anthropic #Salesforce #Slack #Trump #Tariffs #ArtificialIntelligence #ChatGPT #Claude #MachineLearning #Technology #WeeklyNews</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>345</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>OpenAI Health + Alexa Web: 6 Stories | AI Weekly in 5</title>
      <description>OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes.

📰 THIS WEEK'S TOP STORIES
• Plaud NotePin S: New $179 AI notetaker + Mac desktop app
• Amazon Alexa+: Web experience now live at Alexa.com
• UMG &amp; NVIDIA: "Responsible AI" partnership for music discovery
• OpenAI ChatGPT Health: Dedicated health space with medical record integration
• Google Gmail AI Inbox: AI-generated summaries replace email lists
• Plus: CES 2026 highlights from Las Vegas

⏱️ TIMESTAMPS
0:00 - Intro
0:05 - Plaud NotePin S: AI notetaker goes desktop
1:09 - Amazon Alexa+: Leaving the living room for the web
2:23 - UMG &amp; NVIDIA: AI music partnership
3:35 - OpenAI ChatGPT Health: Medical records meet AI
4:39 - Google Gmail AI Inbox: Your email, reimagined
5:40 - Wrap-up

🔗 LINKS &amp; RESOURCES
• Plaud NotePin S: https://www.plaud.ai
• Amazon Alexa+: https://alexa.com
• NVIDIA Music Flamingo: https://www.nvidia.com
• OpenAI ChatGPT Health: https://chat.openai.com/health
• Google Gmail AI Inbox: https://gmail.com

🎙️ THE AI REPORT PODCAST
Weekly deep-dive conversations with AI operators building the future.
Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured

📬 STAY CONNECTED
Newsletter: https://newsletter.theaireport.ai/subscribe
LinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Enterprise Training: https://www.upscaile.com/

---

#AINews #CES2026 #OpenAI #AmazonAlexa #GoogleGmail #WeeklyAI #ArtificialIntelligence #AIOperators #ChatGPT #TechNews

AI Weekly in 5 is a rapid news brief covering the most important AI developments for operators and professionals. Every week, get curated insights without information overload—just what matters for your work.


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 15 Jan 2026 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/072f1eaa-34de-11f1-8875-47d3df14b83c/image/e920ceff2746f28c3d1e2c25b09f5b0d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes.

📰 THIS WEEK'S TOP STORIES
• Plaud NotePin S: New $179 AI notetaker + Mac desktop app
• Amazon Alexa+: Web experience now live at Alexa.com
• UMG &amp; NVIDIA: "Responsible AI" partnership for music discovery
• OpenAI ChatGPT Health: Dedicated health space with medical record integration
• Google Gmail AI Inbox: AI-generated summaries replace email lists
• Plus: CES 2026 highlights from Las Vegas

⏱️ TIMESTAMPS
0:00 - Intro
0:05 - Plaud NotePin S: AI notetaker goes desktop
1:09 - Amazon Alexa+: Leaving the living room for the web
2:23 - UMG &amp; NVIDIA: AI music partnership
3:35 - OpenAI ChatGPT Health: Medical records meet AI
4:39 - Google Gmail AI Inbox: Your email, reimagined
5:40 - Wrap-up

🔗 LINKS &amp; RESOURCES
• Plaud NotePin S: https://www.plaud.ai
• Amazon Alexa+: https://alexa.com
• NVIDIA Music Flamingo: https://www.nvidia.com
• OpenAI ChatGPT Health: https://chat.openai.com/health
• Google Gmail AI Inbox: https://gmail.com

🎙️ THE AI REPORT PODCAST
Weekly deep-dive conversations with AI operators building the future.
Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured

📬 STAY CONNECTED
Newsletter: https://newsletter.theaireport.ai/subscribe
LinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/
Enterprise Training: https://www.upscaile.com/

---

#AINews #CES2026 #OpenAI #AmazonAlexa #GoogleGmail #WeeklyAI #ArtificialIntelligence #AIOperators #ChatGPT #TechNews

AI Weekly in 5 is a rapid news brief covering the most important AI developments for operators and professionals. Every week, get curated insights without information overload—just what matters for your work.


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>OpenAI launches ChatGPT Health, Amazon takes Alexa+ to the web, and Google reinvents your inbox—6 game-changing AI updates for operators in under 5 minutes.</p><p><br></p><p>📰 THIS WEEK'S TOP STORIES</p><p>• Plaud NotePin S: New $179 AI notetaker + Mac desktop app</p><p>• Amazon Alexa+: Web experience now live at Alexa.com</p><p>• UMG &amp; NVIDIA: "Responsible AI" partnership for music discovery</p><p>• OpenAI ChatGPT Health: Dedicated health space with medical record integration</p><p>• Google Gmail AI Inbox: AI-generated summaries replace email lists</p><p>• Plus: CES 2026 highlights from Las Vegas</p><p><br></p><p>⏱️ TIMESTAMPS</p><p>0:00 - Intro</p><p>0:05 - Plaud NotePin S: AI notetaker goes desktop</p><p>1:09 - Amazon Alexa+: Leaving the living room for the web</p><p>2:23 - UMG &amp; NVIDIA: AI music partnership</p><p>3:35 - OpenAI ChatGPT Health: Medical records meet AI</p><p>4:39 - Google Gmail AI Inbox: Your email, reimagined</p><p>5:40 - Wrap-up</p><p><br></p><p>🔗 LINKS &amp; RESOURCES</p><p>• Plaud NotePin S: https://www.plaud.ai</p><p>• Amazon Alexa+: https://alexa.com</p><p>• NVIDIA Music Flamingo: https://www.nvidia.com</p><p>• OpenAI ChatGPT Health: https://chat.openai.com/health</p><p>• Google Gmail AI Inbox: https://gmail.com</p><p><br></p><p>🎙️ THE AI REPORT PODCAST</p><p>Weekly deep-dive conversations with AI operators building the future.</p><p>Subscribe for full episodes: https://www.youtube.com/@the-AI-report-with-liam-lawson/featured</p><p><br></p><p>📬 STAY CONNECTED</p><p>Newsletter: https://newsletter.theaireport.ai/subscribe</p><p>LinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/</p><p>Enterprise Training: https://www.upscaile.com/</p><p><br></p><p>---</p><p><br></p><p>#AINews #CES2026 #OpenAI #AmazonAlexa #GoogleGmail #WeeklyAI #ArtificialIntelligence #AIOperators #ChatGPT #TechNews</p><p><br></p><p>AI Weekly in 5 is a rapid news brief covering the most important AI developments for operators and professionals. Every week, get curated insights without information overload—just what matters for your work.</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>409</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[40d2d3d9-a41c-4d59-80c9-148de886c3b4]]></guid>
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    </item>
    <item>
      <title>Eric Jorgenson: The 30-Year Lens (AI, Energy &amp; Leverage in 2025)</title>
      <description>How Eric Jorgenson Thinks 30 Years Ahead to Build Companies That Matter in the Age of AI
Eric Jorgenson, CEO of Scribe Media and venture investor, reveals how thinking on a 20-30 year timeline fundamentally changes investment decisions, company building, and personal leverage in an AI-accelerated world. From investing in asteroid mining startups to understanding why most people get the AI revolution wrong, Eric breaks down how to build leverage, develop judgment, and position yourself for the civilization-level changes ahead.
The conversation explores why short-term thinking creates mediocrity while long-term vision enables breakthrough innovation. Eric shares his framework for evaluating startups, explains why energy and consciousness are the real currencies of the future, and demonstrates how AI tools amplify leverage for those who understand fundamental skills. The discussion challenges conventional wisdom about education, productivity, and what it means to contribute meaningfully to human progress.
Key Topics Covered:

The 20-30 year investment framework and why most opportunities fail this filter


Why Eric invested in an asteroid mining startup when others called it crazy


How AI accelerates discovery in physics, biology, and material science beyond information work


The widening gap between AI adopters and non-adopters in every industry


Why judgment and taste matter more than technical skills in the AI era


How to train the next generation when AI can do the execution work


The difference between learning fundamental skills versus using AI as a crutch


Applying leverage principles through delegation, automation, and recorded processes


Why equal opportunity matters more than equal outcomes for civilization


Viewing consciousness as humanity's core responsibility in the universe


Episode Timestamps:
00:00 - Introduction and Eric's 2025 operating lens01:41 - The 20-30 year timeframe for investing and life decisions03:30 - Asteroid mining investment thesis and long-term vision06:26 - How Eric cultivated the long-term thinking mindset10:22 - AI as a force multiplier across all technologies13:54 - How the smartest people are adopting AI differently17:06 - The thought experiment: training an intern for maximum impact25:46 - The crisis in education and what students are missing31:32 - How leverage has evolved and become more accessible42:11 - Eric's highest leverage activities and what he should be doing more46:23 - The divergent paths of resourceful versus passive people50:36 - Why Eric does what he does and his view on consciousness
About Eric Jorgenson:
Eric Jorgenson is the CEO of Scribe Media, a publishing company that helps entrepreneurs and thought leaders write, publish, and market their books. He also runs a pre-seed and seed venture fund investing in long-term technology companies. Eric is best known as the author of The Almanack of Naval Ravikant, a curated collection of Naval's wisdom on wealth and happiness that has reached millions of readers worldwide and been translated into dozens of languages. The book distills years of Naval's tweets, podcast appearances, and essays into a comprehensive guide on building wealth, finding happiness, and living a meaningful life. Eric's deep understanding of leverage and long-term thinking stems directly from his work synthesizing Naval's philosophy.
About Scribe Media:
Scribe Media is a publisher specializing in helping entrepreneurs, executives, and experts transform their knowledge into professionally published books. The company handles the complete book creation process from writing to publishing to marketing, enabling busy professionals to share their ideas without the traditional barriers of book publishing.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 08 Jan 2026 15:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/07a07b7c-34de-11f1-8875-a3f374938789/image/20f7e03313dfee2386e8cdb8a108f1b8.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>How Eric Jorgenson Thinks 30 Years Ahead to Build Companies That Matter in the Age of AI
Eric Jorgenson, CEO of Scribe Media and venture investor, reveals how thinking on a 20-30 year timeline fundamentally changes investment decisions, company building, and personal leverage in an AI-accelerated world. From investing in asteroid mining startups to understanding why most people get the AI revolution wrong, Eric breaks down how to build leverage, develop judgment, and position yourself for the civilization-level changes ahead.
The conversation explores why short-term thinking creates mediocrity while long-term vision enables breakthrough innovation. Eric shares his framework for evaluating startups, explains why energy and consciousness are the real currencies of the future, and demonstrates how AI tools amplify leverage for those who understand fundamental skills. The discussion challenges conventional wisdom about education, productivity, and what it means to contribute meaningfully to human progress.
Key Topics Covered:

The 20-30 year investment framework and why most opportunities fail this filter


Why Eric invested in an asteroid mining startup when others called it crazy


How AI accelerates discovery in physics, biology, and material science beyond information work


The widening gap between AI adopters and non-adopters in every industry


Why judgment and taste matter more than technical skills in the AI era


How to train the next generation when AI can do the execution work


The difference between learning fundamental skills versus using AI as a crutch


Applying leverage principles through delegation, automation, and recorded processes


Why equal opportunity matters more than equal outcomes for civilization


Viewing consciousness as humanity's core responsibility in the universe


Episode Timestamps:
00:00 - Introduction and Eric's 2025 operating lens01:41 - The 20-30 year timeframe for investing and life decisions03:30 - Asteroid mining investment thesis and long-term vision06:26 - How Eric cultivated the long-term thinking mindset10:22 - AI as a force multiplier across all technologies13:54 - How the smartest people are adopting AI differently17:06 - The thought experiment: training an intern for maximum impact25:46 - The crisis in education and what students are missing31:32 - How leverage has evolved and become more accessible42:11 - Eric's highest leverage activities and what he should be doing more46:23 - The divergent paths of resourceful versus passive people50:36 - Why Eric does what he does and his view on consciousness
About Eric Jorgenson:
Eric Jorgenson is the CEO of Scribe Media, a publishing company that helps entrepreneurs and thought leaders write, publish, and market their books. He also runs a pre-seed and seed venture fund investing in long-term technology companies. Eric is best known as the author of The Almanack of Naval Ravikant, a curated collection of Naval's wisdom on wealth and happiness that has reached millions of readers worldwide and been translated into dozens of languages. The book distills years of Naval's tweets, podcast appearances, and essays into a comprehensive guide on building wealth, finding happiness, and living a meaningful life. Eric's deep understanding of leverage and long-term thinking stems directly from his work synthesizing Naval's philosophy.
About Scribe Media:
Scribe Media is a publisher specializing in helping entrepreneurs, executives, and experts transform their knowledge into professionally published books. The company handles the complete book creation process from writing to publishing to marketing, enabling busy professionals to share their ideas without the traditional barriers of book publishing.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How Eric Jorgenson Thinks 30 Years Ahead to Build Companies That Matter in the Age of AI</p><p>Eric Jorgenson, CEO of Scribe Media and venture investor, reveals how thinking on a 20-30 year timeline fundamentally changes investment decisions, company building, and personal leverage in an AI-accelerated world. From investing in asteroid mining startups to understanding why most people get the AI revolution wrong, Eric breaks down how to build leverage, develop judgment, and position yourself for the civilization-level changes ahead.</p><p>The conversation explores why short-term thinking creates mediocrity while long-term vision enables breakthrough innovation. Eric shares his framework for evaluating startups, explains why energy and consciousness are the real currencies of the future, and demonstrates how AI tools amplify leverage for those who understand fundamental skills. The discussion challenges conventional wisdom about education, productivity, and what it means to contribute meaningfully to human progress.</p><p>Key Topics Covered:</p><ul>
<li><p>The 20-30 year investment framework and why most opportunities fail this filter</p></li>
<li><p>Why Eric invested in an asteroid mining startup when others called it crazy</p></li>
<li><p>How AI accelerates discovery in physics, biology, and material science beyond information work</p></li>
<li><p>The widening gap between AI adopters and non-adopters in every industry</p></li>
<li><p>Why judgment and taste matter more than technical skills in the AI era</p></li>
<li><p>How to train the next generation when AI can do the execution work</p></li>
<li><p>The difference between learning fundamental skills versus using AI as a crutch</p></li>
<li><p>Applying leverage principles through delegation, automation, and recorded processes</p></li>
<li><p>Why equal opportunity matters more than equal outcomes for civilization</p></li>
<li><p>Viewing consciousness as humanity's core responsibility in the universe</p></li>
</ul><p>Episode Timestamps:</p><p>00:00 - Introduction and Eric's 2025 operating lens<br>01:41 - The 20-30 year timeframe for investing and life decisions<br>03:30 - Asteroid mining investment thesis and long-term vision<br>06:26 - How Eric cultivated the long-term thinking mindset<br>10:22 - AI as a force multiplier across all technologies<br>13:54 - How the smartest people are adopting AI differently<br>17:06 - The thought experiment: training an intern for maximum impact<br>25:46 - The crisis in education and what students are missing<br>31:32 - How leverage has evolved and become more accessible<br>42:11 - Eric's highest leverage activities and what he should be doing more<br>46:23 - The divergent paths of resourceful versus passive people<br>50:36 - Why Eric does what he does and his view on consciousness</p><p>About Eric Jorgenson:</p><p>Eric Jorgenson is the CEO of Scribe Media, a publishing company that helps entrepreneurs and thought leaders write, publish, and market their books. He also runs a pre-seed and seed venture fund investing in long-term technology companies. Eric is best known as the author of The Almanack of Naval Ravikant, a curated collection of Naval's wisdom on wealth and happiness that has reached millions of readers worldwide and been translated into dozens of languages. The book distills years of Naval's tweets, podcast appearances, and essays into a comprehensive guide on building wealth, finding happiness, and living a meaningful life. Eric's deep understanding of leverage and long-term thinking stems directly from his work synthesizing Naval's philosophy.</p><p>About Scribe Media:</p><p>Scribe Media is a publisher specializing in helping entrepreneurs, executives, and experts transform their knowledge into professionally published books. The company handles the complete book creation process from writing to publishing to marketing, enabling busy professionals to share their ideas without the traditional barriers of book publishing.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3748</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>Shopify’s Sidekick Just Leveled Up: AI That Runs Your Store (Proactively)</title>
      <description>How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot &amp; Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 25 Dec 2025 14:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/08105000-34de-11f1-8875-77b77220420d/image/aba59d4f3ea29d7676b405c28c5ec6b3.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot &amp; Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How Shopify Is Building The Future of AI Commerce with Andrew McNamaraShopify's Director of Applied ML, Andrew McNamara, reveals how the new Sidekick Pulse and SimGym features are revolutionizing e-commerce for merchants of all sizes. With 15 years of experience building AI assistants—dating back to pre-Siri days—Andrew breaks down how Shopify is using "LLM as a judge" to ensure quality and why "vibe entrepreneurship" is the future of business.Andrew explains how Sidekick has evolved from a simple chatbot into a proactive "AI Co-founder" that can democratize data for small business owners. He shares behind-the-scenes details on Sidekick Pulse, which performs deep research to surface actionable insights (like finding shipping errors that cost sales), and Simgym, a powerful simulator that uses AI shoppers to A/B test store changes before they go live.We also dive into the technical side of how Shopify evaluates these models using statistical rigor and why the ability for merchants to build admin apps with a single prompt is a game-changer for productivity.---Topics Covered- The 15-year evolution of AI assistants from rule-based systems to LLMs- How Sidekick Pulse proactively finds and fixes business-critical errors- Simgym: Using AI shoppers to simulate A/B tests without risking live traffic- The "LLM as a Judge" framework Shopify uses for product quality control- "Vibe Entrepreneurship" and reducing technical barriers for founders- Building custom Admin Apps in seconds using natural language prompts- Real-world examples from Andrew's own maple syrup store- The difference between general chatbots (Copilot) and specialized agents (Sidekick)- How "App Gen" allows merchants to create custom workflows instantlyEpisode Timestamps00:03 - Introduction to Andrew McNamara and his 15-year history with AI01:01 - Comparing early AI assistants (BlackBerry/Samsung) to modern LLMs06:45 - How Sidekick democratizes data analytics for small merchants11:25 - Deep Dive: Sidekick Pulse and proactive business research15:43 - Using "LLM as a Judge" to replace human evaluation at scale18:41 - Generating custom Admin Apps with a single prompt ("App Gen")21:58 - Andrew's personal experience running a Shopify store25:31 - The concept of "Vibe Entrepreneurship" as a North Star26:30 - Using AI to edit online store themes and layouts in real-time37:39 - Simgym: Simulating buyer behavior to predict experiment results42:06 - Why simulation is critical for both small and large enterprise merchants48:04 - The culture of technical depth and passion at Shopify51:34 - Why Andrew has dedicated his entire career to building assistants---## About Andrew McNamaraAndrew McNamara is the Director of Applied Machine Learning at Shopify, where he leads the development of Sidekick and other intelligent merchant features. Previously the Director of the Montreal Research Lab at Microsoft and a key contributor to Bing Chat (Copilot), Andrew has over 15 years of experience building and deploying AI assistants at scale.Shopify is the leading global commerce company, providing trusted tools to start, grow, market, and manage a retail business of any size. It powers millions of businesses in more than 175 countries and offers a unified platform for physical and digital commerce.Resources Mentioned- Shopify Sidekick (AI Commerce Assistant)- Sidekick Pulse (Proactive Research Agent)- Simgym (AI Shopper Simulator)- Microsoft Copilot &amp; Bing Chat- "LLM as a Judge" Evaluation Framework---Partner Links- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtube</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3323</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>The $30M AI Sales Startup Replacing 15 GTM Tools Overnight | Jason Eubanks, Aurasell</title>
      <description>Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language- 

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 18 Dec 2025 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0880f99a-34de-11f1-8875-5f27be08f381/image/c27cfe2894b33e7362f1cb3d11081bf7.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language- 

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Jason Eubanks on Building Oracel: Raising $30M in 28 Hours to Disrupt the $236B Go-To-Market Tooling Market with AI-Native Sales AutomationJason Eubanks, CEO and Co-founder of Oracel, discusses how the company raised $30 million in just 28 hours—oversubscribed at $40 million—by solving a critical problem in the go-to-market industry. With a $236 billion market opportunity and only a "desert of innovation" since the late 1990s, Aurasell is building an AI-native platform to intelligently automate sales workflows and consolidate the 12-15 fragmented tools that plague modern sales teams. Jason shares how his experience scaling revenue from $1M to $100M+ across five startups—including Twilio (IPO), Meraki (acquired by Cisco for $1.2B), and Harness—directly informed the founding vision of AurasellEpisode Timestamps- 00:00 - Introduction and Jason Eubanks joins the podcast- 00:26 - Why Oracel raised $30M in 28 hours despite initial $40M oversubscription- 01:24 - The "desert of innovation" in go-to-market tooling since the late 90s- 01:42 - History of CRM evolution from mainframe to cloud to niche products- 03:12 - Founding vision: One intelligent GTM sales platform to replace them all- 03:39 - How pain as a CRO across five startups led to Oracel's creation- 05:58 - The X-Ray productivity assessment revealing tool sprawl inefficiencies- 07:59 - Sellers spending 28% of time selling and 70% on manual tasks- 09:03 - First principles AI-native approach with whiteboards in the kitchen- 09:29 - Five key personas: SDR, seller, IC manager, executive, ops team- 12:18 - AI-native architecture: multimodal interface, lakehouse, and 10,000 agents- 14:39 - Unified data model importance for contextualized AI automation- 15:45 - Current hat wearing: product focus and 50% building go-to-market engine- 18:43 - Platform features and customer experience design philosophy- 19:05 - Three wow moments per persona as success metric- 20:39 - Onboarding experience: automatic territory building and customer choice- 21:40 - 10,000 agents discovering ICP, personas, and competitors automatically- 24:07 - Automated account research and value hypothesis creation- 25:34 - Outbound prospecting content generation with propensity scoring- 26:32 - Outbound sequencer integration and email platform plugins- 27:00 - AI voice dialer coming in three weeks with closed-loop automation- 28:47 - What's missing: deep marketing and customer success automation- 30:49 - Ideal customer profiles: startups and enterprises with tool sprawl- 31:30 - Solution for heavily customized legacy systems coming in December- 34:24 - Dynamic change detection layer solving technical debt- 36:23 - Jason's career arc from BMC Software through Harness- 37:09 - Why: helping go-to-market operators solve problems he experienced- 39:55 - Meraki's disruptive cloud-managed network architecture- 41:51 - Three constants: great product builders, important problems, massive markets- 43:22 - Intrinsic motivation as foundation for hiring and culture- 45:31 - Hiring from first job onward to assess character and values- 51:24 - Understanding why someone wanted to work at 14 years old- 53:21 - Importance of formative years for work ethic and intelligence- 55:46 - AI adoption culture: using own product and building agents internally- 56:36 - All employees use AI daily across PMs, engineers, and operations- 59:25 - Ask AI features: analytics dashboards, data enrichment, natural language- </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4112</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>The AI Behind Fortune 500 Risk: Anton Dam, AuditBoard</title>
      <description>Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 11 Dec 2025 14:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/08f6b932-34de-11f1-8875-bf21bee9201b/image/722ec7dca7b78f7a5e91417d50c65d9e.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Discover how Anton, one of the most experienced AI and machine learning experts in the industry, discusses his evolution from building matching algorithms at Bright.com to navigating today's AI landscape. With over a decade of experience in large-scale recommendation systems and data processing, Anton reveals how the fundamentals of big data and embarrassingly parallel computing shaped modern AI applications, and why human-centered design is now more critical than ever in building AI-powered products.Episode Timestamps:- 00:00 - Introduction and welcome- 00:47 - Anton's experience at Bright.com and the recruitment matching problem- 03:23 - The big data era, Hadoop, and Spark in the web 2.0 world- 05:00 - Embarrassingly parallel computing and large-scale data processing- 10:00 - How recommendation algorithms work at scale in recruitment- 20:00 - Evolution of the data scientist role over time- 30:00 - Building intelligent matching systems- 40:00 - Understanding user needs and organizational workflows- 50:00 - The shift toward human-centered AI design- 57:30 - Providing pre-filled content and personalization- 58:02 - Anton's vision for the future and human values- 01:01:46 - Closing thoughts on humanity and technologyAbout Anton:Anton is a veteran machine learning and AI engineer with over a decade of experience building large-scale recommendation and matching systems. He played a key role at Bright.com, a two-sided recruitment platform that pioneered transparent scoring algorithms for candidate-job matching. His expertise spans big data infrastructure, recommendation systems, user experience optimization, and the human-centered approach to AI product development.Resources Mentioned:- Hadoop and Spark (big data processing frameworks)- Big data infrastructure and cloud computing platforms- Two-sided marketplace architectures- Recommendation algorithms and matching systems- User workflow analysis toolsPartner Links:- Book Enterprise Training — https://www.upscaile.com/- Subscribe to our free newsletter — https://www.theaireport.ai/subscribe-theaireport-youtubeHashtags:#AIAgents #MachineLearningSystems #RecruitmentTechnology #BigData #DataScience #RecommendationAlgorithms #HadoopSpark #AIProductDesign #HumanCenteredAI #LargeScaleML #CloudComputing #AIStrategy #FutureOfWork #TechLeadership #CareerDevelopment</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4564</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4ccfa4c7-f511-46e2-a97a-1b0499682492]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9828816949.mp3?updated=1776262462" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Slack Vision: Everyone Manages an AI Team from Day One | Ryan Gavin</title>
      <description>Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work

In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation.

The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in.

Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings.

Key Topics Covered:


Self-awareness as the foundation of effective leadership and team development

Why marketing is product and product is marketing in modern B2B organizations

The shift from doers to orchestrators in the age of AI agents and digital coworkers

How every employee will manage AI teammates from day one across finance, HR, creative, and development

Employee productivity as the most underutilized growth lever for businesses

Slack's product principles for agent integration: don't make me think and be a great host

Reducing AI adoption fear by showcasing capability expansion rather than job displacement

Social dynamics of agent interaction in channels and preserving psychological safety

Why there is no "right" career path and how to multiply opportunities by crushing your current role

The changing consumer patterns of information seeking and their impact on business workflows


Episode Timestamps:

00:00 - Introduction and setting the stage

02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience

05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide

08:43 - From doers to orchestrators: how AI agents give every employee a team from day one

11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration

14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss

18:03 - Advice for the next generation entering an AI-transformed workforce

21:49 - Career lesson from delivering papers in 110-degree Chicago heat

24:30 - Final question: why Ryan does what he does and the importance of lasting market impact



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 04 Dec 2025 12:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0965142c-34de-11f1-8875-ff19f2bfd3fe/image/968aa78516d1f9ee930d72d0a3a07f61.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work

In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation.

The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in.

Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings.

Key Topics Covered:


Self-awareness as the foundation of effective leadership and team development

Why marketing is product and product is marketing in modern B2B organizations

The shift from doers to orchestrators in the age of AI agents and digital coworkers

How every employee will manage AI teammates from day one across finance, HR, creative, and development

Employee productivity as the most underutilized growth lever for businesses

Slack's product principles for agent integration: don't make me think and be a great host

Reducing AI adoption fear by showcasing capability expansion rather than job displacement

Social dynamics of agent interaction in channels and preserving psychological safety

Why there is no "right" career path and how to multiply opportunities by crushing your current role

The changing consumer patterns of information seeking and their impact on business workflows


Episode Timestamps:

00:00 - Introduction and setting the stage

02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience

05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide

08:43 - From doers to orchestrators: how AI agents give every employee a team from day one

11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration

14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss

18:03 - Advice for the next generation entering an AI-transformed workforce

21:49 - Career lesson from delivering papers in 110-degree Chicago heat

24:30 - Final question: why Ryan does what he does and the importance of lasting market impact



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<li>
<p><strong>Building Teams in the Age of AI: How Slack CMO Ryan Gavin is Reshaping the Future of Work</strong></p>
<p>In this episode, Ryan Gavin, Chief Marketing Officer at Slack, reveals how self-awareness in leadership and the convergence of marketing and product strategy are creating unprecedented opportunities in the agentic era. Learn why employee productivity through AI orchestration is poised to become the fastest accelerator for top line business growth companies have ever seen, and how Slack is positioning itself as the conversational work platform for this transformation.</p>
<p>The conversation explores the critical shift from employees as doers to orchestrators, where every team member—from day-one interns to seasoned executives—will manage digital coworkers and AI agents. Discover the product principles driving Slack's approach to agent integration, the social dynamics of working alongside AI teammates, and why the traditional career ladder is being replaced by immediate access to capabilities across development, creative, analytics, and more. The discussion also covers practical frameworks for building exceptional teams, reducing AI adoption anxiety, and why picking the "right" career path matters less than crushing the job you're in.</p>
<p>Ryan delivers actionable insights on leadership development through self-awareness, understanding how team members receive feedback and recognition differently, and connecting business opportunities with talent growth. You'll also hear his compelling argument for why marketing must sit between product and sales as a strategic amplifier, not just a message distributor, and what marketers need to do to earn their seat at product strategy and sales planning meetings.</p>
<p><strong>Key Topics Covered:</strong></p>
<ul>
<li>Self-awareness as the foundation of effective leadership and team development</li>
<li>Why marketing is product and product is marketing in modern B2B organizations</li>
<li>The shift from doers to orchestrators in the age of AI agents and digital coworkers</li>
<li>How every employee will manage AI teammates from day one across finance, HR, creative, and development</li>
<li>Employee productivity as the most underutilized growth lever for businesses</li>
<li>Slack's product principles for agent integration: don't make me think and be a great host</li>
<li>Reducing AI adoption fear by showcasing capability expansion rather than job displacement</li>
<li>Social dynamics of agent interaction in channels and preserving psychological safety</li>
<li>Why there is no "right" career path and how to multiply opportunities by crushing your current role</li>
<li>The changing consumer patterns of information seeking and their impact on business workflows</li>
</ul>
<p><strong>Episode Timestamps:</strong></p>
<p>00:00 - Introduction and setting the stage</p>
<p>02:16 - Knowing thyself: Ryan's journey to leadership self-awareness through family and life experience</p>
<p>05:19 - What makes an amazing marketer in 2026 and bridging the marketing-product divide</p>
<p>08:43 - From doers to orchestrators: how AI agents give every employee a team from day one</p>
<p>11:24 - Designing agents to work like teammates: Slack's approach to intuitive AI integration</p>
<p>14:55 - Addressing AI fear: why productivity gains lead to higher expectations rather than job loss</p>
<p>18:03 - Advice for the next generation entering an AI-transformed workforce</p>
<p>21:49 - Career lesson from delivering papers in 110-degree Chicago heat</p>
<p>24:30 - Final question: why Ryan does what he does and the importance of lasting market impact</p>
</li>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1712</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0c3ff3de-108a-453d-9413-1f07a5e2a58a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6540272968.mp3?updated=1776262165" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Low Ego, High Grit: How Salesforce Lands MASSIVE AI Partnerships | Nick Johnston</title>
      <description>Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.
Key Topics Covered:

How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and Google

The three core hiring values that create high-performing partnership teams: low ego, high curiosity, and grit

Why uncomfortable conversations are essential for building trust and creating impactful partnerships

Using AI tools to position partnership proposals and draft joint press releases with strategic clarity

The Dreamforce partnership strategy and how compelling events drive deal execution

Career lessons from coaching varsity football wide receivers and celebrating team achievement over personal wins

Living in Buenos Aires for six months and the value of full cultural immersion for partnership work

Why getting customer-facing experience early in your career is the best foundation for any role

The interview question that reveals hero culture versus team players in partnership roles

Balancing partnership work across multiple departments including product, marketing, operations, and sales

How human experience will become the ultimate competitive moat as AI automates routine tasks

The "be great" daily philosophy and applying the same standards to yourself that you set for your team

Episode Timestamps:
03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006
05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations
07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams
09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart
12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration
16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners
18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals
21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles
24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work
28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges
29:06 - Why do you do what you do: achieving hard things in team settings and making family proud
About Nick Johnston
Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.
ransformation and agentic AI.
Partner Links:
Book Enterprise Training — **https://www.upscaile.com/**
Subscribe to our free newsletter — **https://www.theaireport.ai/subscribe-theaireport-youtube**

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 27 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/09daba92-34de-11f1-8875-abfce56a8220/image/d6de74936c4709716c1e94e704e83c2f.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.
Key Topics Covered:

How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and Google

The three core hiring values that create high-performing partnership teams: low ego, high curiosity, and grit

Why uncomfortable conversations are essential for building trust and creating impactful partnerships

Using AI tools to position partnership proposals and draft joint press releases with strategic clarity

The Dreamforce partnership strategy and how compelling events drive deal execution

Career lessons from coaching varsity football wide receivers and celebrating team achievement over personal wins

Living in Buenos Aires for six months and the value of full cultural immersion for partnership work

Why getting customer-facing experience early in your career is the best foundation for any role

The interview question that reveals hero culture versus team players in partnership roles

Balancing partnership work across multiple departments including product, marketing, operations, and sales

How human experience will become the ultimate competitive moat as AI automates routine tasks

The "be great" daily philosophy and applying the same standards to yourself that you set for your team

Episode Timestamps:
03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006
05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations
07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams
09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart
12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration
16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners
18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals
21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles
24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work
28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges
29:06 - Why do you do what you do: achieving hard things in team settings and making family proud
About Nick Johnston
Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.
ransformation and agentic AI.
Partner Links:
Book Enterprise Training — **https://www.upscaile.com/**
Subscribe to our free newsletter — **https://www.theaireport.ai/subscribe-theaireport-youtube**

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he leads strategic relationships with major technology companies including OpenAI, Anthropic, AWS, Google, IBM, and Workday. In this conversation recorded during Dreamforce 2025, Nick shares how Salesforce closed 12,500 Agentforce deals and navigated the complexities of announcing major partnerships like the expanded OpenAI integration that brings Salesforce's Agentforce 360 directly into ChatGPT. He reveals his unique approach to building win-win partnerships grounded in customer demand rather than competitive positioning.</p><p><strong>Key Topics Covered:</strong></p><ul>
<li>How Salesforce builds customer-driven partnerships with tech giants like OpenAI, Anthropic, AWS, and Google</li>
<li>The three core hiring values that create high-performing partnership teams: low ego, high curiosity, and grit</li>
<li>Why uncomfortable conversations are essential for building trust and creating impactful partnerships</li>
<li>Using AI tools to position partnership proposals and draft joint press releases with strategic clarity</li>
<li>The Dreamforce partnership strategy and how compelling events drive deal execution</li>
<li>Career lessons from coaching varsity football wide receivers and celebrating team achievement over personal wins</li>
<li>Living in Buenos Aires for six months and the value of full cultural immersion for partnership work</li>
<li>Why getting customer-facing experience early in your career is the best foundation for any role</li>
<li>The interview question that reveals hero culture versus team players in partnership roles</li>
<li>Balancing partnership work across multiple departments including product, marketing, operations, and sales</li>
<li>How human experience will become the ultimate competitive moat as AI automates routine tasks</li>
<li>The "be great" daily philosophy and applying the same standards to yourself that you set for your team</li>
</ul><p><strong>Episode Timestamps:</strong></p><p>03:07 - From college football to coaching varsity wide receivers at Torrey Pines High School in 2006</p><p>05:47 - The vibes and trust mentality: lessons from undersized teams that outperform expectations</p><p>07:26 - Three core hiring values: low ego, high curiosity, and grit in partnership teams</p><p>09:15 - Six months in Buenos Aires learning Spanish through full immersion with Spencer Stuart</p><p>12:49 - Customer-driven partnership strategy: building frameworks from market demand to product integration</p><p>16:15 - The customer-centric approach at Dreamforce and delivering the Agentforce agenda with partners</p><p>18:04 - Using AI to write joint press releases, position partnerships, and create mutually beneficial proposals</p><p>21:27 - Career advice for new graduates: get as close to the customer as possible in sales or customer success roles</p><p>24:56 - Why human experience and the arts will be the ultimate differentiator as AI automates work</p><p>28:02 - Parenting lessons and the "be great" daily motto for building confidence and pushing through challenges</p><p>29:06 - Why do you do what you do: achieving hard things in team settings and making family proud</p><p><strong>About Nick Johnston</strong></p><p>Nick Johnston is the Senior Vice President of Strategic Partnerships &amp; Business Development at Salesforce, where he has spent over 12 years advancing from Customer Success Director to leading strategic technology partnerships. He holds an MBA from UC Berkeley Haas School of Business and a BA with honors in International Relations from UC Davis, where he also played college football. Nick has been instrumental in establishing major partnerships with OpenAI, Anthropic, AWS, Google, IBM, Workday, and other leading technology companies to deliver integrated customer experiences through Salesforce's Agentforce 360 platform.</p><p>ransformation and agentic AI.</p><p><strong>Partner Links:</strong></p><p>Book Enterprise Training — <a href="https://www.upscaile.com/">**</a><a href="https://www.upscaile.com/**">https://www.upscaile.com/**</a></p><p>Subscribe to our free newsletter — <a href="https://www.theaireport.ai/subscribe-theaireport-youtube">**</a><a href="https://www.theaireport.ai/subscribe-theaireport-youtube**">https://www.theaireport.ai/subscribe-theaireport-youtube**</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1830</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f1eb87e1-b473-4ca1-a1e1-480fd69b0640]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6137556471.mp3?updated=1776262192" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Building Real AI Humans: The Future is NOW</title>
      <description>Try AI Pals today: http://tavus.io/pals-launch?utm_source=newsletter&amp;utm_medium=email&amp;utm_campaign=theaireportIn this candid conversation with Quinn Favret, and Hassaan Raza, Co-Founders of Tavus, we dive deep into the future of human computing and how AI is learning to communicate like humans. Quinn walks us through their inspiring San Francisco office—a museum of vintage computing that fuels the company's innovation culture.Topics Covered:0:00 — Introduction &amp; Office Tour2:15 — Building an Inspiring Workspace for Innovation5:45 — The Evolution of Human-Computer Interaction (CLI → GUI → Human Computing)8:30 — What is "Human Computing"? The OS for Human-AI Interaction12:00 — The Waltz of Communication: Understanding Turn-Taking, Tone &amp; Body Language15:20 — Tavus Technology: Perception, Understanding, Reaction &amp; Action20:45 — Introducing Tavus Pals: AI Companions That Reach Out to You25:30 — Real-World Impact: The AI Santa Story &amp; Accessibility30:15 — Ethical AI: Human-First Design &amp; Responsibility35:00 — The Future of Work: Invisible Interface &amp; AI Coworkers (10-20 Year Vision)42:30 — Addressing Job Displacement &amp; Automation47:00 — Building an International, Culturally Diverse Team52:15 — What Makes a Great Tavus Hire: Passion, Craft &amp; Opinions57:45 — Employee Challenges That Changed Company Direction62:00 — The "Why Do You Do This?" Question &amp; Personal Motivations67:30 — Closing Remarks &amp; GratitudeKey Takeaways:Human computing is the next frontier: machines that understand you instead of you learning to understand machinesEffective communication involves far more than words—tone, timing, facial expressions, and body language all matterTavus Pals represent a new category of AI application: emotionally intelligent, proactive, and truly conversationalDiversity of perspective—cultural, generational, educational—is critical to building AI that works for everyoneThe future workplace will have AI coworkers that feel as natural to interact with as human colleaguesTimestamps &amp; Chapters:Vintage Computing Culture &amp; InnovationThe Evolution of Computing InterfacesHuman-Centered AI Design PhilosophyReal-Time AI Perception &amp; UnderstandingTavus Consumer Products &amp; APIEmotional Intelligence in AIEthical Considerations &amp; ResponsibilityFuture of Work &amp; The Invisible InterfaceBuilding an International TeamHiring for Passion Over BackgroundLegacy &amp; ImpactWe explore conversations with founders, technologists, and innovators shaping the future. This episode features Quinn Hassan discussing how Tavus is reimagining human-computer interaction through emotionally intelligent AI.#AI #Tavus #HumanComputing #FutureOfWork #AICompanions #Innovation #TechPodcast #FounderInterview #Startups #EmotionalIntelligence

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Sat, 22 Nov 2025 01:03:49 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0a453084-34de-11f1-8875-e327c788ee59/image/403db15c9a3ff677314764cf69d30351.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Try AI Pals today: http://tavus.io/pals-launch?utm_source=newsletter&amp;utm_medium=email&amp;utm_campaign=theaireportIn this candid conversation with Quinn Favret, and Hassaan Raza, Co-Founders of Tavus, we dive deep into the future of human computing and how AI is learning to communicate like humans. Quinn walks us through their inspiring San Francisco office—a museum of vintage computing that fuels the company's innovation culture.Topics Covered:0:00 — Introduction &amp; Office Tour2:15 — Building an Inspiring Workspace for Innovation5:45 — The Evolution of Human-Computer Interaction (CLI → GUI → Human Computing)8:30 — What is "Human Computing"? The OS for Human-AI Interaction12:00 — The Waltz of Communication: Understanding Turn-Taking, Tone &amp; Body Language15:20 — Tavus Technology: Perception, Understanding, Reaction &amp; Action20:45 — Introducing Tavus Pals: AI Companions That Reach Out to You25:30 — Real-World Impact: The AI Santa Story &amp; Accessibility30:15 — Ethical AI: Human-First Design &amp; Responsibility35:00 — The Future of Work: Invisible Interface &amp; AI Coworkers (10-20 Year Vision)42:30 — Addressing Job Displacement &amp; Automation47:00 — Building an International, Culturally Diverse Team52:15 — What Makes a Great Tavus Hire: Passion, Craft &amp; Opinions57:45 — Employee Challenges That Changed Company Direction62:00 — The "Why Do You Do This?" Question &amp; Personal Motivations67:30 — Closing Remarks &amp; GratitudeKey Takeaways:Human computing is the next frontier: machines that understand you instead of you learning to understand machinesEffective communication involves far more than words—tone, timing, facial expressions, and body language all matterTavus Pals represent a new category of AI application: emotionally intelligent, proactive, and truly conversationalDiversity of perspective—cultural, generational, educational—is critical to building AI that works for everyoneThe future workplace will have AI coworkers that feel as natural to interact with as human colleaguesTimestamps &amp; Chapters:Vintage Computing Culture &amp; InnovationThe Evolution of Computing InterfacesHuman-Centered AI Design PhilosophyReal-Time AI Perception &amp; UnderstandingTavus Consumer Products &amp; APIEmotional Intelligence in AIEthical Considerations &amp; ResponsibilityFuture of Work &amp; The Invisible InterfaceBuilding an International TeamHiring for Passion Over BackgroundLegacy &amp; ImpactWe explore conversations with founders, technologists, and innovators shaping the future. This episode features Quinn Hassan discussing how Tavus is reimagining human-computer interaction through emotionally intelligent AI.#AI #Tavus #HumanComputing #FutureOfWork #AICompanions #Innovation #TechPodcast #FounderInterview #Startups #EmotionalIntelligence

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Try AI Pals today: http://tavus.io/pals-launch?utm_source=newsletter&amp;utm_medium=email&amp;utm_campaign=theaireportIn this candid conversation with Quinn Favret, and Hassaan Raza, Co-Founders of Tavus, we dive deep into the future of human computing and how AI is learning to communicate like humans. Quinn walks us through their inspiring San Francisco office—a museum of vintage computing that fuels the company's innovation culture.Topics Covered:0:00 — Introduction &amp; Office Tour2:15 — Building an Inspiring Workspace for Innovation5:45 — The Evolution of Human-Computer Interaction (CLI → GUI → Human Computing)8:30 — What is "Human Computing"? The OS for Human-AI Interaction12:00 — The Waltz of Communication: Understanding Turn-Taking, Tone &amp; Body Language15:20 — Tavus Technology: Perception, Understanding, Reaction &amp; Action20:45 — Introducing Tavus Pals: AI Companions That Reach Out to You25:30 — Real-World Impact: The AI Santa Story &amp; Accessibility30:15 — Ethical AI: Human-First Design &amp; Responsibility35:00 — The Future of Work: Invisible Interface &amp; AI Coworkers (10-20 Year Vision)42:30 — Addressing Job Displacement &amp; Automation47:00 — Building an International, Culturally Diverse Team52:15 — What Makes a Great Tavus Hire: Passion, Craft &amp; Opinions57:45 — Employee Challenges That Changed Company Direction62:00 — The "Why Do You Do This?" Question &amp; Personal Motivations67:30 — Closing Remarks &amp; GratitudeKey Takeaways:Human computing is the next frontier: machines that understand you instead of you learning to understand machinesEffective communication involves far more than words—tone, timing, facial expressions, and body language all matterTavus Pals represent a new category of AI application: emotionally intelligent, proactive, and truly conversationalDiversity of perspective—cultural, generational, educational—is critical to building AI that works for everyoneThe future workplace will have AI coworkers that feel as natural to interact with as human colleaguesTimestamps &amp; Chapters:Vintage Computing Culture &amp; InnovationThe Evolution of Computing InterfacesHuman-Centered AI Design PhilosophyReal-Time AI Perception &amp; UnderstandingTavus Consumer Products &amp; APIEmotional Intelligence in AIEthical Considerations &amp; ResponsibilityFuture of Work &amp; The Invisible InterfaceBuilding an International TeamHiring for Passion Over BackgroundLegacy &amp; ImpactWe explore conversations with founders, technologists, and innovators shaping the future. This episode features Quinn Hassan discussing how Tavus is reimagining human-computer interaction through emotionally intelligent AI.#AI #Tavus #HumanComputing #FutureOfWork #AICompanions #Innovation #TechPodcast #FounderInterview #Startups #EmotionalIntelligence</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
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      <itunes:duration>3012</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>Are AI Agents About to Replace Your Job? | Nancy Xu, Salesforce</title>
      <description>How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 20 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0ab0de06-34de-11f1-8875-7f5e26fdeb3e/image/ecf6833a36459a48ace333676bcc5729.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How a Former Startup Founder (Nancy Xu) is Building the Future of AI Agents at Salesforce Agent ForceJoin us for an insightful conversation with a Salesforce Agent Force leader who previously founded Moon Hub and holds a PhD in Computer Science from Stanford. In this episode, Nancy Xu reveals her unconventional hiring strategies, including asking candidates "what tabs are open in your Chrome browser," and shares why relentless curiosity is the top signal she looks for when building AI teams. Discover how she transitioned from startup founder to enterprise AI leader while maintaining a culture of trust and autonomy.Nancy Xu breaks down the future of work with AI agents, explaining how we'll all transition from "producers" to "directors" as agent orchestration becomes central to every role. Learn about Salesforce's trust layer for Agent Force, the importance of humans in the loop for iterative agent improvement, and why the next 100 years of AI development represents humanity's greatest opportunity since mapping the world. This conversation offers tactical hiring advice, leadership insights on managing impatience as a strength and weakness, and a compelling vision for how AI agents will transform customer experience roles.Key Topics Covered:Unconventional interview questions that reveal candidate curiosity and passion beyond traditional resumesThe three intangibles to look for when hiring: relentless curiosity, mastery of craft, and passionWhy future roles will focus on "what and why" rather than "how" as AI agents handle executionAgent orchestration frameworks including MCP and ATA for agents working with other agentsThe critical role of humans in the loop for continuously iterating agent objective functionsHow trust operates as the number one value at both Salesforce and startup environmentsLeadership philosophy of hiring great people and giving them autonomy within clear directionManaging impatience as both a greatest strength and weakness in leadershipThe blending of research, product, and engineering roles in AI-native companiesWhy this moment in history is humanity's chance to positively impact the course of civilization through AIEpisode Timestamps:00:00 - Introduction and unconventional hiring philosophy01:42 - The Chrome browser tabs question and looking beyond traditional resumes03:21 - Hiring for curiosity in a world where jobs will transform in two years05:15 - From producers to directors: The future of work with AI agents07:18 - Comparing culture at Salesforce Agent Force vs Moon Hub startup09:28 - Operating from trust: Lessons from Stanford PhD program on autonomy11:02 - Greatest weakness: Managing impatience as a founder turned enterprise leader13:14 - Advice for 21-year-olds: Pursue passion and blend across departments15:54 - Why now is the perfect moment in human history to work on AI17:10 - Closing thoughts on making positive impact through AI developmentAbout the Guest:This episode features Nancy Xu, a product and engineering leader on the Salesforce AgentForce team who previously founded Moon Hub, an AI-powered talent platform. She holds a PhD in Computer Science from Stanford and brings systems thinking and mathematical rigor to building enterprise AI agents. Her work focuses on agent orchestration, trust layers, and enabling humans to work alongside AI at scale.About Salesforce/Agentforce:Salesforce Agent Force is an enterprise AI agent platform that enables businesses to deploy autonomous agents across customer service, sales, and operations. Built with trust as the number one value, Agent Force includes enterprise-grade governance, security, and a trust layer that handles compliance at scale. The platform focuses on agent orchestration, allowing multiple agents to work together while keeping humans in the loop for strategic direction</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1096</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>How Smarsh Used Agentforce 360 Platform to Automate 56% of Customer Support</title>
      <description>#SalesforcePartner 
Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. 
Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.
Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.
Key Topics Covered:
- AI Agent Implementation 
- How Smarsh deployed Agentforce for customer service automation
- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions
- Financial Services Compliance 
- Building AI models for market manipulation, fraud detection, and surveillance
- Data Governance
 - Critical frameworks for deploying AI agents in regulated industries
- Personalization Strategy 
- Why naming the agent "Archie" dramatically increased adoption
- Future of Work 
- From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models 
- When to use general purpose vs specialized compliance AI models
- Customer Experience 
- Balancing automation with trust in financial services
Episode Timestamps:
00:00 - Introduction to Rohit Khanna and Smarsh
02:44 - What is Smarsh? Compliance technology explained
04:13 - Building AI from the inside out: Proprietary vs partnered models
07:33 - Agentforce implementation journey and challenges
12:26 - Results: 56% deflection rate and productivity gains
15:25 - The power of personalization: Why "Archie" matters
18:21 - Trust and data governance in regulated industries
22:11 - Data governance layers and policy management
25:49 - Human-in-the-loop vs agent-in-the-loop
29:10 - Upskilling teams for the AI-powered future
32:11 - Intelligent agents for financial crime detection
About Rohit Khanna:
Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.
About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.
Resources Mentioned:- Salesforce Agentforce
- Salesforce Agentforce for Service
- Digital Reasoning (acquired by Smarsh)
---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/)
Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)---
What's your experience with AI agents in customer service? 
#AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Wed, 19 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b1ca99c-34de-11f1-8875-7b5e77921a81/image/19ce62c13a908ddb336a423ec1a5101e.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>#SalesforcePartner 
Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. 
Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.
Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.
Key Topics Covered:
- AI Agent Implementation 
- How Smarsh deployed Agentforce for customer service automation
- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions
- Financial Services Compliance 
- Building AI models for market manipulation, fraud detection, and surveillance
- Data Governance
 - Critical frameworks for deploying AI agents in regulated industries
- Personalization Strategy 
- Why naming the agent "Archie" dramatically increased adoption
- Future of Work 
- From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models 
- When to use general purpose vs specialized compliance AI models
- Customer Experience 
- Balancing automation with trust in financial services
Episode Timestamps:
00:00 - Introduction to Rohit Khanna and Smarsh
02:44 - What is Smarsh? Compliance technology explained
04:13 - Building AI from the inside out: Proprietary vs partnered models
07:33 - Agentforce implementation journey and challenges
12:26 - Results: 56% deflection rate and productivity gains
15:25 - The power of personalization: Why "Archie" matters
18:21 - Trust and data governance in regulated industries
22:11 - Data governance layers and policy management
25:49 - Human-in-the-loop vs agent-in-the-loop
29:10 - Upskilling teams for the AI-powered future
32:11 - Intelligent agents for financial crime detection
About Rohit Khanna:
Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.
About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.
Resources Mentioned:- Salesforce Agentforce
- Salesforce Agentforce for Service
- Digital Reasoning (acquired by Smarsh)
---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/)
Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)---
What's your experience with AI agents in customer service? 
#AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>#SalesforcePartner </p><p>Rohit Khanna on AI Agents in Customer Service: How Smarsh Achieved 56% Deflection with Agentforce 360 Platform. </p><p>Rohit Khanna, Chief Customer Officer at Smarsh, reveals how AI agents are revolutionizing customer service automation in financial services compliance. In this episode, learn how Smarsh implemented Salesforce Agentforce to achieve 56% deflection rates, 20% productivity gains, and transformed their customer support operations without hiring additional level-one support representatives.</p><p>Discover the complete strategy behind deploying AI agents in regulated industries, from building proprietary compliance models to implementing data governance layers that ensure accuracy and regulatory compliance. Rohit shares insider insights on personalizing AI agents (meet "Archie"), managing the transition from chatbots to intelligent agents, and preparing teams for the future of agentic workflows in customer service.</p><p>Key Topics Covered:</p><p>- AI Agent Implementation </p><p>- How Smarsh deployed Agentforce for customer service automation</p><p>- Real Results - 56% deflection rate, 20% efficiency gains, 25% faster resolutions</p><p>- Financial Services Compliance </p><p>- Building AI models for market manipulation, fraud detection, and surveillance</p><p>- Data Governance</p><p> - Critical frameworks for deploying AI agents in regulated industries</p><p>- Personalization Strategy </p><p>- Why naming the agent "Archie" dramatically increased adoption</p><p>- Future of Work </p><p>- From human-in-the-loop to agent-in-the-loop workflows- GenAI vs Purpose-Built Models </p><p>- When to use general purpose vs specialized compliance AI models</p><p>- Customer Experience </p><p>- Balancing automation with trust in financial services</p><p>Episode Timestamps:</p><p>00:00 - Introduction to Rohit Khanna and Smarsh</p><p>02:44 - What is Smarsh? Compliance technology explained</p><p>04:13 - Building AI from the inside out: Proprietary vs partnered models</p><p>07:33 - Agentforce implementation journey and challenges</p><p>12:26 - Results: 56% deflection rate and productivity gains</p><p>15:25 - The power of personalization: Why "Archie" matters</p><p>18:21 - Trust and data governance in regulated industries</p><p>22:11 - Data governance layers and policy management</p><p>25:49 - Human-in-the-loop vs agent-in-the-loop</p><p>29:10 - Upskilling teams for the AI-powered future</p><p>32:11 - Intelligent agents for financial crime detection</p><p>About Rohit Khanna:</p><p>Rohit Khanna is the Chief Customer Officer at Smarsh, overseeing global customer support, consulting, migrations, managed services, and Smarsh University. With nearly six years at Smarsh, Rohit has led the company's transformation into AI-powered compliance solutions, managing teams across the Philippines, India, Belfast, Costa Rica, UK, and US.</p><p>About Smarsh:Smarsh is the leading compliance technology provider for regulated industries, specializing in electronic communications archiving, surveillance, and AI-powered financial crime detection. For 20 years, Smarsh has been the trusted custodian of communications data for major financial institutions worldwide, using proprietary AI models and GenAI agents to detect misconduct, reduce false positives, and ensure regulatory compliance.</p><p>Resources Mentioned:- Salesforce Agentforce</p><p>- Salesforce Agentforce for Service</p><p>- Digital Reasoning (acquired by Smarsh)</p><p>---Book Enterprise Training — [https://www.upscaile.com/](https://www.upscaile.com/)</p><p>Subscribe to our free newsletter — [https://www.theaireport.ai/subscribe-theaireport-youtube](https://www.theaireport.ai/subscribe-theaireport-youtube)---</p><p>What's your experience with AI agents in customer service? </p><p>#AIAgents #CustomerService #Agentforce #Salesforce #ComplianceTechnology #FinancialServices #GenAI #CustomerExperience #AIAutomation #AgenticWorkflows #DataGovernance #FinancialCompliance #CustomerSupport #AIinBusiness #Smarsh</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2235</itunes:duration>
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      <title>AI Agents Fail at 95%—Here’s How Salesforce Fixes Trust | Ariel Kelman</title>
      <description>Subscribe to the newsletter — https://newsletter.theaireport.ai/subscribeBook Enterprise Training — https://www.upscaile.com/Salesforce CMO Ariel Kelman reveals how customer-centric marketing, AI agents, and trust shape the future of enterprise technology. Learn leadership lessons from Amazon, MicroStrategy, and building marketing teams that embrace AI innovation at scale.In this exclusive interview recorded at Dreamforce, Ariel Kelman—President and Chief Marketing Officer at Salesforce—shares his journey from data warehouse consultant to leading marketing at one of the world's most influential enterprise software companies. Discover how the "have you talked to customers" philosophy from Amazon's Andy Jassy transformed his approach to B2B marketing, and why trust has become the cornerstone of successful AI agent deployment.Ariel breaks down the evolution of AgentForce, Salesforce's AI agent platform, and explains why enterprise AI requires more than impressive demos—it demands accuracy, security, and customer success at scale. You'll learn practical insights about hiring for intellectual curiosity over technical skills, building transparent resource allocation systems, and why failure is "the inseparable twin sister of innovation."⏱️ TIMESTAMPS:0:00 - Introduction1:03 - From Data Warehouse Consultant to CMO: Career Journey2:50 - Andy Jassy's Customer-First Philosophy at Amazon4:08 - The Foundation of Customer Success in Marketing5:46 - Trust, CRM, AI, and Data: The Four Pillars7:20 - Building Trust as a Marketing Leader8:56 - Introducing AI Agents to Enterprise Customers10:31 - What Trust Really Means in AI12:02 - President + CMO: The Dual Role Explained13:11 - Training Teams Through Inspiration, Not Just Education14:52 - Hiring for Intellectual Curiosity and Humility17:04 - Creating a Culture Where Failure Leads to Innovation18:45 - How Leaders Use AI Daily at Salesforce20:09 - The Joy of Product Marketing20:50 - Why Do You Do What You Do?💡 KEY TAKEAWAYS:Why customer obsession beats technology-first marketing every timeHow to build trust in AI agents for enterprise deploymentThe hiring questions that reveal intellectual curiosity and low egoWhy 95% accuracy isn't good enough for customer-facing AIHow Salesforce uses 17 customer success stories to market AgentForceThe difference between consumer AI and enterprise AI grounded in dataWhy transparency in resource allocation builds team trust🎤 ABOUT ARIEL KELMAN:Ariel Kelman is the President and Chief Marketing Officer at Salesforce, where he leads global marketing strategy for CRM, AI, and enterprise technology solutions. Previously, he held leadership roles at Amazon Web Services, Oracle, and MicroStrategy, bringing over 20 years of experience in B2B technology marketing and sales engineering.📢 RELATED VIDEOS:Mia Jordan, GTM AI Executive at Salesforce (https://youtu.be/pFOAlZNL_U0?si=2BMuatBIpC0biXZ0)Saket Srivastava, Asana CIO (https://www.youtube.com/watch?v=0TryfgNj3D4&amp;t=1s)🏢 ABOUT THIS SERIES:This interview is part of our Dreamforce leadership series, featuring conversations with C-suite executives shaping the future of enterprise technology, AI innovation, and customer experience.#Salesforce #CMO #AIAgents #AgentForce #MarketingLeadership #EnterpriseAI #B2BMarketing #CustomerSuccess #TrustInAI #Dreamforce #TechLeadership #ProductMarketing #CRM #AIInnovation #MarketingStrategy

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 06 Nov 2025 12:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0b866328-34de-11f1-8875-236380f0bd52/image/7777f1ff698db21f33e5be7eb7348a34.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Subscribe to the newsletter — https://newsletter.theaireport.ai/subscribeBook Enterprise Training — https://www.upscaile.com/Salesforce CMO Ariel Kelman reveals how customer-centric marketing, AI agents, and trust shape the future of enterprise technology. Learn leadership lessons from Amazon, MicroStrategy, and building marketing teams that embrace AI innovation at scale.In this exclusive interview recorded at Dreamforce, Ariel Kelman—President and Chief Marketing Officer at Salesforce—shares his journey from data warehouse consultant to leading marketing at one of the world's most influential enterprise software companies. Discover how the "have you talked to customers" philosophy from Amazon's Andy Jassy transformed his approach to B2B marketing, and why trust has become the cornerstone of successful AI agent deployment.Ariel breaks down the evolution of AgentForce, Salesforce's AI agent platform, and explains why enterprise AI requires more than impressive demos—it demands accuracy, security, and customer success at scale. You'll learn practical insights about hiring for intellectual curiosity over technical skills, building transparent resource allocation systems, and why failure is "the inseparable twin sister of innovation."⏱️ TIMESTAMPS:0:00 - Introduction1:03 - From Data Warehouse Consultant to CMO: Career Journey2:50 - Andy Jassy's Customer-First Philosophy at Amazon4:08 - The Foundation of Customer Success in Marketing5:46 - Trust, CRM, AI, and Data: The Four Pillars7:20 - Building Trust as a Marketing Leader8:56 - Introducing AI Agents to Enterprise Customers10:31 - What Trust Really Means in AI12:02 - President + CMO: The Dual Role Explained13:11 - Training Teams Through Inspiration, Not Just Education14:52 - Hiring for Intellectual Curiosity and Humility17:04 - Creating a Culture Where Failure Leads to Innovation18:45 - How Leaders Use AI Daily at Salesforce20:09 - The Joy of Product Marketing20:50 - Why Do You Do What You Do?💡 KEY TAKEAWAYS:Why customer obsession beats technology-first marketing every timeHow to build trust in AI agents for enterprise deploymentThe hiring questions that reveal intellectual curiosity and low egoWhy 95% accuracy isn't good enough for customer-facing AIHow Salesforce uses 17 customer success stories to market AgentForceThe difference between consumer AI and enterprise AI grounded in dataWhy transparency in resource allocation builds team trust🎤 ABOUT ARIEL KELMAN:Ariel Kelman is the President and Chief Marketing Officer at Salesforce, where he leads global marketing strategy for CRM, AI, and enterprise technology solutions. Previously, he held leadership roles at Amazon Web Services, Oracle, and MicroStrategy, bringing over 20 years of experience in B2B technology marketing and sales engineering.📢 RELATED VIDEOS:Mia Jordan, GTM AI Executive at Salesforce (https://youtu.be/pFOAlZNL_U0?si=2BMuatBIpC0biXZ0)Saket Srivastava, Asana CIO (https://www.youtube.com/watch?v=0TryfgNj3D4&amp;t=1s)🏢 ABOUT THIS SERIES:This interview is part of our Dreamforce leadership series, featuring conversations with C-suite executives shaping the future of enterprise technology, AI innovation, and customer experience.#Salesforce #CMO #AIAgents #AgentForce #MarketingLeadership #EnterpriseAI #B2BMarketing #CustomerSuccess #TrustInAI #Dreamforce #TechLeadership #ProductMarketing #CRM #AIInnovation #MarketingStrategy

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Subscribe to the newsletter — https://newsletter.theaireport.ai/subscribeBook Enterprise Training — https://www.upscaile.com/Salesforce CMO Ariel Kelman reveals how customer-centric marketing, AI agents, and trust shape the future of enterprise technology. Learn leadership lessons from Amazon, MicroStrategy, and building marketing teams that embrace AI innovation at scale.In this exclusive interview recorded at Dreamforce, Ariel Kelman—President and Chief Marketing Officer at Salesforce—shares his journey from data warehouse consultant to leading marketing at one of the world's most influential enterprise software companies. Discover how the "have you talked to customers" philosophy from Amazon's Andy Jassy transformed his approach to B2B marketing, and why trust has become the cornerstone of successful AI agent deployment.Ariel breaks down the evolution of AgentForce, Salesforce's AI agent platform, and explains why enterprise AI requires more than impressive demos—it demands accuracy, security, and customer success at scale. You'll learn practical insights about hiring for intellectual curiosity over technical skills, building transparent resource allocation systems, and why failure is "the inseparable twin sister of innovation."⏱️ TIMESTAMPS:0:00 - Introduction1:03 - From Data Warehouse Consultant to CMO: Career Journey2:50 - Andy Jassy's Customer-First Philosophy at Amazon4:08 - The Foundation of Customer Success in Marketing5:46 - Trust, CRM, AI, and Data: The Four Pillars7:20 - Building Trust as a Marketing Leader8:56 - Introducing AI Agents to Enterprise Customers10:31 - What Trust Really Means in AI12:02 - President + CMO: The Dual Role Explained13:11 - Training Teams Through Inspiration, Not Just Education14:52 - Hiring for Intellectual Curiosity and Humility17:04 - Creating a Culture Where Failure Leads to Innovation18:45 - How Leaders Use AI Daily at Salesforce20:09 - The Joy of Product Marketing20:50 - Why Do You Do What You Do?💡 KEY TAKEAWAYS:Why customer obsession beats technology-first marketing every timeHow to build trust in AI agents for enterprise deploymentThe hiring questions that reveal intellectual curiosity and low egoWhy 95% accuracy isn't good enough for customer-facing AIHow Salesforce uses 17 customer success stories to market AgentForceThe difference between consumer AI and enterprise AI grounded in dataWhy transparency in resource allocation builds team trust🎤 ABOUT ARIEL KELMAN:Ariel Kelman is the President and Chief Marketing Officer at Salesforce, where he leads global marketing strategy for CRM, AI, and enterprise technology solutions. Previously, he held leadership roles at Amazon Web Services, Oracle, and MicroStrategy, bringing over 20 years of experience in B2B technology marketing and sales engineering.📢 RELATED VIDEOS:Mia Jordan, GTM AI Executive at Salesforce (https://youtu.be/pFOAlZNL_U0?si=2BMuatBIpC0biXZ0)Saket Srivastava, Asana CIO (https://www.youtube.com/watch?v=0TryfgNj3D4&amp;t=1s)🏢 ABOUT THIS SERIES:This interview is part of our Dreamforce leadership series, featuring conversations with C-suite executives shaping the future of enterprise technology, AI innovation, and customer experience.#Salesforce #CMO #AIAgents #AgentForce #MarketingLeadership #EnterpriseAI #B2BMarketing #CustomerSuccess #TrustInAI #Dreamforce #TechLeadership #ProductMarketing #CRM #AIInnovation #MarketingStrategy<br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1401</itunes:duration>
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      <title>Government 2.0: How AI Agents Create Smarter Human Services | Salesforce’s Mia Jordan</title>
      <description>⚡️ Enterprise Training — upscaile.com🤝 Join the Newsletter — newsletter.theaireport.ai/subscribeIn this episode, we delve into AI in government transformation, digital innovation in the public sector, and the future of work in an AI-driven world. Our guest, Mia Jordan — a former Chief Information Officer (CIO) turned AI GTM Executive at Salesforce — reveals how artificial intelligence, automation, and data-driven decision-making are powering the next wave of digital transformation in government. She shares insights on how public-sector innovation, customer experience (CX), and platform thinking are redefining how agencies operate. You’ll learn how AI strategy, leadership, organizational culture, and AI skills training enable smarter, more connected systems — shaping the next generation of digital government, enterprise AI adoption, and citizen-centric service delivery.We dive into:1. How government can use AI to deliver citizen-first services and customer-like experiences2. Why CIOs are central to blending IT, business, and AI strategy across large organizations3. The “platform mindset” — building once and scaling across multiple departments4. How AI can shorten onboarding time and make training radically more efficient5. Practical steps for employees and leaders to upskill with free AI training (Trailhead)6. Building a learning culture where AI adoption starts from the top down7. Career advice for recent grads entering the AI-driven workforceChapters00:00:00 Intro – The art of authentic conversation00:01:00 How to design government systems that treat citizens like customers00:03:00 CIO insights: blending business, IT, and AI00:05:00 The future of work and how AI is changing employee roles00:06:30 How to learn AI fast – Trailhead and free upskilling00:07:40 The value of grunt work in the age of automation00:09:30 AI onboarding: training employees faster and smarter00:10:40 Culture and leadership in successful AI adoption00:12:10 AI learning cohorts: building confidence and curiosity00:14:30 Measuring AI success: education, engagement, and feedback loops00:15:30 Lessons from government and innovation inside Salesforce00:17:40 What new grads should learn from sales and relationship building00:19:10 Why she does what she does – being a catalyst for change📬 Get in TouchLinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Mia Jordan — https://www.linkedin.com/in/mia-jordan-07192852/

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 30 Oct 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c01da4e-34de-11f1-8875-474d66c83265/image/b1a68a1ec14763274ee2dc800de82540.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>⚡️ Enterprise Training — upscaile.com🤝 Join the Newsletter — newsletter.theaireport.ai/subscribeIn this episode, we delve into AI in government transformation, digital innovation in the public sector, and the future of work in an AI-driven world. Our guest, Mia Jordan — a former Chief Information Officer (CIO) turned AI GTM Executive at Salesforce — reveals how artificial intelligence, automation, and data-driven decision-making are powering the next wave of digital transformation in government. She shares insights on how public-sector innovation, customer experience (CX), and platform thinking are redefining how agencies operate. You’ll learn how AI strategy, leadership, organizational culture, and AI skills training enable smarter, more connected systems — shaping the next generation of digital government, enterprise AI adoption, and citizen-centric service delivery.We dive into:1. How government can use AI to deliver citizen-first services and customer-like experiences2. Why CIOs are central to blending IT, business, and AI strategy across large organizations3. The “platform mindset” — building once and scaling across multiple departments4. How AI can shorten onboarding time and make training radically more efficient5. Practical steps for employees and leaders to upskill with free AI training (Trailhead)6. Building a learning culture where AI adoption starts from the top down7. Career advice for recent grads entering the AI-driven workforceChapters00:00:00 Intro – The art of authentic conversation00:01:00 How to design government systems that treat citizens like customers00:03:00 CIO insights: blending business, IT, and AI00:05:00 The future of work and how AI is changing employee roles00:06:30 How to learn AI fast – Trailhead and free upskilling00:07:40 The value of grunt work in the age of automation00:09:30 AI onboarding: training employees faster and smarter00:10:40 Culture and leadership in successful AI adoption00:12:10 AI learning cohorts: building confidence and curiosity00:14:30 Measuring AI success: education, engagement, and feedback loops00:15:30 Lessons from government and innovation inside Salesforce00:17:40 What new grads should learn from sales and relationship building00:19:10 Why she does what she does – being a catalyst for change📬 Get in TouchLinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Mia Jordan — https://www.linkedin.com/in/mia-jordan-07192852/

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>⚡️ Enterprise Training — upscaile.com🤝 Join the Newsletter — newsletter.theaireport.ai/subscribeIn this episode, we delve into AI in government transformation, digital innovation in the public sector, and the future of work in an AI-driven world. Our guest, Mia Jordan — a former Chief Information Officer (CIO) turned AI GTM Executive at Salesforce — reveals how artificial intelligence, automation, and data-driven decision-making are powering the next wave of digital transformation in government. She shares insights on how public-sector innovation, customer experience (CX), and platform thinking are redefining how agencies operate. You’ll learn how AI strategy, leadership, organizational culture, and AI skills training enable smarter, more connected systems — shaping the next generation of digital government, enterprise AI adoption, and citizen-centric service delivery.We dive into:1. How government can use AI to deliver citizen-first services and customer-like experiences2. Why CIOs are central to blending IT, business, and AI strategy across large organizations3. The “platform mindset” — building once and scaling across multiple departments4. How AI can shorten onboarding time and make training radically more efficient5. Practical steps for employees and leaders to upskill with free AI training (Trailhead)6. Building a learning culture where AI adoption starts from the top down7. Career advice for recent grads entering the AI-driven workforceChapters00:00:00 Intro – The art of authentic conversation00:01:00 How to design government systems that treat citizens like customers00:03:00 CIO insights: blending business, IT, and AI00:05:00 The future of work and how AI is changing employee roles00:06:30 How to learn AI fast – Trailhead and free upskilling00:07:40 The value of grunt work in the age of automation00:09:30 AI onboarding: training employees faster and smarter00:10:40 Culture and leadership in successful AI adoption00:12:10 AI learning cohorts: building confidence and curiosity00:14:30 Measuring AI success: education, engagement, and feedback loops00:15:30 Lessons from government and innovation inside Salesforce00:17:40 What new grads should learn from sales and relationship building00:19:10 Why she does what she does – being a catalyst for change📬 Get in TouchLinkedIn: https://www.linkedin.com/in/not-the-f1-driver-liam-lawson/Mia Jordan — https://www.linkedin.com/in/mia-jordan-07192852/</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1308</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG6644768047.mp3?updated=1776300620" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Asana CIO | The Playbook for Human x AI Collaboration</title>
      <description>Connect with Saket Srivastava: https://www.linkedin.com/in/saket-srivastava-84069711/
👉 Asana CIO Saket Srivastava joins Liam Lawson to unpack why the future is about **collaboration over autonomy** in AI. He shares how Asana’s Work Graph underpins AI features like Smart Chat, AI Studio, and the new **AI Teammates** (with human-in-the-loop checkpoints and enterprise controls), and explains the evolving role of the CIO from back-office technologist to strategy co-creator. Saket gets specific on IT–HR partnership for AI transformation, surveying employee readiness, building an internal AI council, balancing experimentation with measurable impact, and coaching teams through change. They also tackle job displacement realistically, discuss building an AI-first culture, and end with Saket’s personal motivations, strengths, and where he’d improve.
📚 Chapters
00:00 Welcome &amp; setup
01:31 What Asana is &amp; the CIO role
04:39 How the CIO role changed from 2024 → 2025
06:11 What makes a great CIO (three-level framework)
09:15 What are Asana AI Teammates?
12:42 Why autonomy isn’t the goal; context, checkpoints, control
14:48 Asana’s AI suite (Smart Chat, AI Studio, Teammates)
15:04 The Work Graph model &amp; “pyramid of clarity”
18:31 Human-in-the-loop in practice (IT ticketing, campaign strategist)
20:50 Natural-language collaboration &amp; explainability
22:01 Where AI Teammates underperform &amp; the data hurdle
25:30 Change management &amp; the IT–HR partnership
29:08 Baseline survey: excited-but-stuck employees
32:14 Bottom-up innovation + top-down direction
33:39 AI council, show-and-tells, and grassroots adoption
36:12 Balancing innovation with impact (don’t kill experiments with ROI)
37:24 Addressing fear vs. optimism; why leaning in matters
40:08 Generational readiness &amp; learning paths
43:03 The future of work: augmentation over dystopia
44:31 Saket beyond tech; problem-solving DNA
46:45 Strengths &amp; what he’d improve as a leader
48:59 Why Saket does what he does
📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]
⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 23 Oct 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0c7007e4-34de-11f1-8875-a332528f1c66/image/bdd4de714b3605aec80fc221f8883899.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Saket Srivastava: https://www.linkedin.com/in/saket-srivastava-84069711/
👉 Asana CIO Saket Srivastava joins Liam Lawson to unpack why the future is about **collaboration over autonomy** in AI. He shares how Asana’s Work Graph underpins AI features like Smart Chat, AI Studio, and the new **AI Teammates** (with human-in-the-loop checkpoints and enterprise controls), and explains the evolving role of the CIO from back-office technologist to strategy co-creator. Saket gets specific on IT–HR partnership for AI transformation, surveying employee readiness, building an internal AI council, balancing experimentation with measurable impact, and coaching teams through change. They also tackle job displacement realistically, discuss building an AI-first culture, and end with Saket’s personal motivations, strengths, and where he’d improve.
📚 Chapters
00:00 Welcome &amp; setup
01:31 What Asana is &amp; the CIO role
04:39 How the CIO role changed from 2024 → 2025
06:11 What makes a great CIO (three-level framework)
09:15 What are Asana AI Teammates?
12:42 Why autonomy isn’t the goal; context, checkpoints, control
14:48 Asana’s AI suite (Smart Chat, AI Studio, Teammates)
15:04 The Work Graph model &amp; “pyramid of clarity”
18:31 Human-in-the-loop in practice (IT ticketing, campaign strategist)
20:50 Natural-language collaboration &amp; explainability
22:01 Where AI Teammates underperform &amp; the data hurdle
25:30 Change management &amp; the IT–HR partnership
29:08 Baseline survey: excited-but-stuck employees
32:14 Bottom-up innovation + top-down direction
33:39 AI council, show-and-tells, and grassroots adoption
36:12 Balancing innovation with impact (don’t kill experiments with ROI)
37:24 Addressing fear vs. optimism; why leaning in matters
40:08 Generational readiness &amp; learning paths
43:03 The future of work: augmentation over dystopia
44:31 Saket beyond tech; problem-solving DNA
46:45 Strengths &amp; what he’d improve as a leader
48:59 Why Saket does what he does
📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]
⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Saket Srivastava: https://www.linkedin.com/in/saket-srivastava-84069711/</p><p>👉 Asana CIO Saket Srivastava joins Liam Lawson to unpack why the future is about **collaboration over autonomy** in AI. He shares how Asana’s Work Graph underpins AI features like Smart Chat, AI Studio, and the new **AI Teammates** (with human-in-the-loop checkpoints and enterprise controls), and explains the evolving role of the CIO from back-office technologist to strategy co-creator. Saket gets specific on IT–HR partnership for AI transformation, surveying employee readiness, building an internal AI council, balancing experimentation with measurable impact, and coaching teams through change. They also tackle job displacement realistically, discuss building an AI-first culture, and end with Saket’s personal motivations, strengths, and where he’d improve.</p><p>📚 Chapters</p><p>00:00 Welcome &amp; setup</p><p>01:31 What Asana is &amp; the CIO role</p><p>04:39 How the CIO role changed from 2024 → 2025</p><p>06:11 What makes a great CIO (three-level framework)</p><p>09:15 What are Asana AI Teammates?</p><p>12:42 Why autonomy isn’t the goal; context, checkpoints, control</p><p>14:48 Asana’s AI suite (Smart Chat, AI Studio, Teammates)</p><p>15:04 The Work Graph model &amp; “pyramid of clarity”</p><p>18:31 Human-in-the-loop in practice (IT ticketing, campaign strategist)</p><p>20:50 Natural-language collaboration &amp; explainability</p><p>22:01 Where AI Teammates underperform &amp; the data hurdle</p><p>25:30 Change management &amp; the IT–HR partnership</p><p>29:08 Baseline survey: excited-but-stuck employees</p><p>32:14 Bottom-up innovation + top-down direction</p><p>33:39 AI council, show-and-tells, and grassroots adoption</p><p>36:12 Balancing innovation with impact (don’t kill experiments with ROI)</p><p>37:24 Addressing fear vs. optimism; why leaning in matters</p><p>40:08 Generational readiness &amp; learning paths</p><p>43:03 The future of work: augmentation over dystopia</p><p>44:31 Saket beyond tech; problem-solving DNA</p><p>46:45 Strengths &amp; what he’d improve as a leader</p><p>48:59 Why Saket does what he does</p><p>📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]</p><p>⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]<br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3106</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4d43c118-5312-4ea1-83d7-b422adceb008]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7526587642.mp3?updated=1776300295" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why the Real Robotics Revolution Starts in the Midwest — Not Silicon Valley | Josh Furstoss</title>
      <description>Connect with Josh Furstoss: https://www.linkedin.com/in/josh-furstoss/
Follow Josh on X: https://x.com/josh_furstoss
👉 In this episode, Liam Lawson sits down with Josh Furstoss — founder of Spinout Studios and former CEO of Incued — to unpack his journey from cleaning blood off walls in a grocery store meat department to building and exiting a data intelligence startup. Josh shares his wild early job stories, how curiosity and enthusiasm launched his tech career, and the lessons learned working with government agencies on large-scale security projects. They dive deep into the creation and mission behind Incued, the moral drive for financial transparency, and Josh’s new focus with Spinout Studios — helping corporations turn dormant IP and data into profitable spinouts. The conversation also explores wealth, purpose, robotics, the future of work, and what truly brings peace and meaning after an exit.
📚 Chapters 00:00 
Early Jobs and Wild Grocery Store Stories 
04:40 Learning Sales at Best Buy and Samsung  
08:10 Breaking Into Tech Through Cold Outreach 
12:00 Corporate Life, Security Projects, and the FBI  
17:10 Learning Value and Realizing Undervaluation  
21:00 First Startup Failures and Founding Incued  
25:20 Building Truth and Transparency Into Fintech  
27:40 Anger, Pain, and Finding Purpose Post-Exit  
33:30 Wealth, Status, and the Myth of Success  
38:05 Building Spinout Studios — Founders vs Consultants
43:00 The Art of Spinouts and Niche Innovation  
47:30 Midwest Private Equity Culture vs SF Startups  
51:45 The Future of Robotics and Specialized Automation  
53:40 Loneliness, AI Companionship, and Human Connection
56:27 The Future of Work and Economic Displacement  
01:02:20 Why Josh Does What He Does  
📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 16 Oct 2025 13:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0cdbe9b4-34de-11f1-8875-b3364766f662/image/9104309ab337eb0461409769229697ed.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Josh Furstoss: https://www.linkedin.com/in/josh-furstoss/
Follow Josh on X: https://x.com/josh_furstoss
👉 In this episode, Liam Lawson sits down with Josh Furstoss — founder of Spinout Studios and former CEO of Incued — to unpack his journey from cleaning blood off walls in a grocery store meat department to building and exiting a data intelligence startup. Josh shares his wild early job stories, how curiosity and enthusiasm launched his tech career, and the lessons learned working with government agencies on large-scale security projects. They dive deep into the creation and mission behind Incued, the moral drive for financial transparency, and Josh’s new focus with Spinout Studios — helping corporations turn dormant IP and data into profitable spinouts. The conversation also explores wealth, purpose, robotics, the future of work, and what truly brings peace and meaning after an exit.
📚 Chapters 00:00 
Early Jobs and Wild Grocery Store Stories 
04:40 Learning Sales at Best Buy and Samsung  
08:10 Breaking Into Tech Through Cold Outreach 
12:00 Corporate Life, Security Projects, and the FBI  
17:10 Learning Value and Realizing Undervaluation  
21:00 First Startup Failures and Founding Incued  
25:20 Building Truth and Transparency Into Fintech  
27:40 Anger, Pain, and Finding Purpose Post-Exit  
33:30 Wealth, Status, and the Myth of Success  
38:05 Building Spinout Studios — Founders vs Consultants
43:00 The Art of Spinouts and Niche Innovation  
47:30 Midwest Private Equity Culture vs SF Startups  
51:45 The Future of Robotics and Specialized Automation  
53:40 Loneliness, AI Companionship, and Human Connection
56:27 The Future of Work and Economic Displacement  
01:02:20 Why Josh Does What He Does  
📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Josh Furstoss: https://www.linkedin.com/in/josh-furstoss/</p><p>Follow Josh on X: https://x.com/josh_furstoss</p><p>👉 In this episode, Liam Lawson sits down with Josh Furstoss — founder of Spinout Studios and former CEO of Incued — to unpack his journey from cleaning blood off walls in a grocery store meat department to building and exiting a data intelligence startup. Josh shares his wild early job stories, how curiosity and enthusiasm launched his tech career, and the lessons learned working with government agencies on large-scale security projects. They dive deep into the creation and mission behind Incued, the moral drive for financial transparency, and Josh’s new focus with Spinout Studios — helping corporations turn dormant IP and data into profitable spinouts. The conversation also explores wealth, purpose, robotics, the future of work, and what truly brings peace and meaning after an exit.</p><p>📚 Chapters 00:00 </p><p>Early Jobs and Wild Grocery Store Stories </p><p>04:40 Learning Sales at Best Buy and Samsung  </p><p>08:10 Breaking Into Tech Through Cold Outreach </p><p>12:00 Corporate Life, Security Projects, and the FBI  </p><p>17:10 Learning Value and Realizing Undervaluation  </p><p>21:00 First Startup Failures and Founding Incued  </p><p>25:20 Building Truth and Transparency Into Fintech  </p><p>27:40 Anger, Pain, and Finding Purpose Post-Exit  </p><p>33:30 Wealth, Status, and the Myth of Success  </p><p>38:05 Building Spinout Studios — Founders vs Consultants</p><p>43:00 The Art of Spinouts and Niche Innovation  </p><p>47:30 Midwest Private Equity Culture vs SF Startups  </p><p>51:45 The Future of Robotics and Specialized Automation  </p><p>53:40 Loneliness, AI Companionship, and Human Connection</p><p>56:27 The Future of Work and Economic Displacement  </p><p>01:02:20 Why Josh Does What He Does  </p><p>📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  </p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3996</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[08975d7c-2a2b-4c16-8799-dd1ba1f28edd]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2909728854.mp3?updated=1776301173" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How Cory Scaled to 36 VAs in 11 Months (With AI &amp; Systems)</title>
      <description>Connect with Cory:
bluemoso.comlinked-agency.com

👉 In this conversation, Cory B shares his journey from early entrepreneurial ventures to founding BluMOSA, a LinkedIn agency dedicated to inspiring everyday individuals to find their voice and start their businesses. He reflects on the lessons learned from his early ventures, the importance of building strong team culture, and his approach to risk management. Cory also dives into the role of personal branding, the impact of outsourcing and AI on the future of work, and why being self-focused—not selfish—leads to more meaningful leadership and success.

📚 Chapters
00:00 Inspiring Everyday Entrepreneurs 
01:53 Lessons from Early Business Ventures 
07:01 Navigating Risk and Confidence in Entrepreneurship 
13:27 The Accidental Birth of BluMOSA 
17:07 Finding Your Voice and Brand Identity  
21:28 The Comprehensive Offerings of BluMOSA  
24:47 Team Culture and Motivation at BluMOSA  
26:09 Leading by Example: The Importance of Hard Work  
26:59 Hiring for Trust and Coachability  
28:24 The Future of Work: Outsourcing and AI  
30:45 Building a Supportive Team Culture  
33:23 Vision for Growth: Supporting Families and Communities  
35:41 Self-Focused Leadership: Balancing Personal and Team Needs  
37:33 Finding Joy in Work: The Role of Passion  
40:56 Optimism in the Face of Change: The Future of Work  
43:08 Purpose-Driven Work: Why I Do What I Do  

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 09 Oct 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0d48c5f2-34de-11f1-8875-47dcd8991afc/image/4506ebbf96c6d749e7d4ac9179ad0aab.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Cory:
bluemoso.comlinked-agency.com

👉 In this conversation, Cory B shares his journey from early entrepreneurial ventures to founding BluMOSA, a LinkedIn agency dedicated to inspiring everyday individuals to find their voice and start their businesses. He reflects on the lessons learned from his early ventures, the importance of building strong team culture, and his approach to risk management. Cory also dives into the role of personal branding, the impact of outsourcing and AI on the future of work, and why being self-focused—not selfish—leads to more meaningful leadership and success.

📚 Chapters
00:00 Inspiring Everyday Entrepreneurs 
01:53 Lessons from Early Business Ventures 
07:01 Navigating Risk and Confidence in Entrepreneurship 
13:27 The Accidental Birth of BluMOSA 
17:07 Finding Your Voice and Brand Identity  
21:28 The Comprehensive Offerings of BluMOSA  
24:47 Team Culture and Motivation at BluMOSA  
26:09 Leading by Example: The Importance of Hard Work  
26:59 Hiring for Trust and Coachability  
28:24 The Future of Work: Outsourcing and AI  
30:45 Building a Supportive Team Culture  
33:23 Vision for Growth: Supporting Families and Communities  
35:41 Self-Focused Leadership: Balancing Personal and Team Needs  
37:33 Finding Joy in Work: The Role of Passion  
40:56 Optimism in the Face of Change: The Future of Work  
43:08 Purpose-Driven Work: Why I Do What I Do  

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Cory:</p><p><a href="http://bluemoso.com/">bluemoso.com</a><br><a href="http://linked-agency.com/">linked-agency.com</a></p><p><br></p><p>👉 In this conversation, Cory B shares his journey from early entrepreneurial ventures to founding BluMOSA, a LinkedIn agency dedicated to inspiring everyday individuals to find their voice and start their businesses. He reflects on the lessons learned from his early ventures, the importance of building strong team culture, and his approach to risk management. Cory also dives into the role of personal branding, the impact of outsourcing and AI on the future of work, and why being self-focused—not selfish—leads to more meaningful leadership and success.</p><p><br></p><p>📚 Chapters</p><p>00:00 Inspiring Everyday Entrepreneurs </p><p>01:53 Lessons from Early Business Ventures </p><p>07:01 Navigating Risk and Confidence in Entrepreneurship </p><p>13:27 The Accidental Birth of BluMOSA </p><p>17:07 Finding Your Voice and Brand Identity  </p><p>21:28 The Comprehensive Offerings of BluMOSA  </p><p>24:47 Team Culture and Motivation at BluMOSA  </p><p>26:09 Leading by Example: The Importance of Hard Work  </p><p>26:59 Hiring for Trust and Coachability  </p><p>28:24 The Future of Work: Outsourcing and AI  </p><p>30:45 Building a Supportive Team Culture  </p><p>33:23 Vision for Growth: Supporting Families and Communities  </p><p>35:41 Self-Focused Leadership: Balancing Personal and Team Needs  </p><p>37:33 Finding Joy in Work: The Role of Passion  </p><p>40:56 Optimism in the Face of Change: The Future of Work  </p><p>43:08 Purpose-Driven Work: Why I Do What I Do  </p><p><br></p><p>📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  </p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3140</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1f243141-ccc8-4811-9f5c-cb7ca3dcb616]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2518973978.mp3?updated=1776300033" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How Sophie Theodorou Built 100K Followers with One-Take AI Videos</title>
      <description>Connect with Sophie: https://www.linkedin.com/in/sophie-theodorou-89261b186/
Connect with Jett: https://www.linkedin.com/in/jett-miller-b31041314/
👉 In this roundtable-style conversation, Liam Lawson sits down with Sophie (@teach2ai) and Jett Miller to explore the intersection of AI, content creation, and education. Sophie shares her journey from teaching math and science during the pandemic to becoming a full-time AI consultant, trainer, and content creator with over 100K followers. She explains how authenticity, consistency, and simplicity have fueled her growth on TikTok while working with brands like ClickUp, Bolt, and String. Jett, from DTC House, adds insights into scaling organic short-form content for startups and enterprise clients, revealing how AI-focused marketing campaigns go viral and drive real user growth. Together, they discuss industry pain points, the rise of AI influencers, the future of content authenticity, and why businesses of all sizes should rethink how they communicate value in the age of AI.
📚 Chapters00:00 Welcome Sophie and Jett
00:40 Sophie’s transition from teacher to AI creator
01:57 The viral TikToks that started it all
03:05 Why authenticity beats high production
04:41 Overcoming hesitancy in content creation
06:25 How Sophie and Jett started working together
08:24 Inside DTC House’s shadow accounts
10:01 Using AI tools for real client work
6:21 Why Sophie’s account stood out to Jett
27:42 Internet “money bros” and fake AI claims
50:23 From workshops to AI consulting
55:34 Pain points businesses face with AI
\58:58 The challenge of scaling consulting work
01:00:39 Teaching adults vs. teaching students
01:03:19 What people really need to learn about LLMs
01:07:43 Why Perplexity stands out
01:09:01 Why people like working with Sophie
01:10:58 Why Sophie does what she does
01:14:01 Final advice for AI founders
📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]
⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 02 Oct 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0db793d8-34de-11f1-8875-674b9d144abd/image/ea87c7477a946e7195ab403157db2a53.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Sophie: https://www.linkedin.com/in/sophie-theodorou-89261b186/
Connect with Jett: https://www.linkedin.com/in/jett-miller-b31041314/
👉 In this roundtable-style conversation, Liam Lawson sits down with Sophie (@teach2ai) and Jett Miller to explore the intersection of AI, content creation, and education. Sophie shares her journey from teaching math and science during the pandemic to becoming a full-time AI consultant, trainer, and content creator with over 100K followers. She explains how authenticity, consistency, and simplicity have fueled her growth on TikTok while working with brands like ClickUp, Bolt, and String. Jett, from DTC House, adds insights into scaling organic short-form content for startups and enterprise clients, revealing how AI-focused marketing campaigns go viral and drive real user growth. Together, they discuss industry pain points, the rise of AI influencers, the future of content authenticity, and why businesses of all sizes should rethink how they communicate value in the age of AI.
📚 Chapters00:00 Welcome Sophie and Jett
00:40 Sophie’s transition from teacher to AI creator
01:57 The viral TikToks that started it all
03:05 Why authenticity beats high production
04:41 Overcoming hesitancy in content creation
06:25 How Sophie and Jett started working together
08:24 Inside DTC House’s shadow accounts
10:01 Using AI tools for real client work
6:21 Why Sophie’s account stood out to Jett
27:42 Internet “money bros” and fake AI claims
50:23 From workshops to AI consulting
55:34 Pain points businesses face with AI
\58:58 The challenge of scaling consulting work
01:00:39 Teaching adults vs. teaching students
01:03:19 What people really need to learn about LLMs
01:07:43 Why Perplexity stands out
01:09:01 Why people like working with Sophie
01:10:58 Why Sophie does what she does
01:14:01 Final advice for AI founders
📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]
⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Sophie: https://www.linkedin.com/in/sophie-theodorou-89261b186/</p><p>Connect with Jett: https://www.linkedin.com/in/jett-miller-b31041314/</p><p>👉 In this roundtable-style conversation, Liam Lawson sits down with Sophie (@teach2ai) and Jett Miller to explore the intersection of AI, content creation, and education. Sophie shares her journey from teaching math and science during the pandemic to becoming a full-time AI consultant, trainer, and content creator with over 100K followers. She explains how authenticity, consistency, and simplicity have fueled her growth on TikTok while working with brands like ClickUp, Bolt, and String. Jett, from DTC House, adds insights into scaling organic short-form content for startups and enterprise clients, revealing how AI-focused marketing campaigns go viral and drive real user growth. Together, they discuss industry pain points, the rise of AI influencers, the future of content authenticity, and why businesses of all sizes should rethink how they communicate value in the age of AI.</p><p>📚 Chapters00:00 Welcome Sophie and Jett</p><p>00:40 Sophie’s transition from teacher to AI creator</p><p>01:57 The viral TikToks that started it all</p><p>03:05 Why authenticity beats high production</p><p>04:41 Overcoming hesitancy in content creation</p><p>06:25 How Sophie and Jett started working together</p><p>08:24 Inside DTC House’s shadow accounts</p><p>10:01 Using AI tools for real client work</p><p>6:21 Why Sophie’s account stood out to Jett</p><p>27:42 Internet “money bros” and fake AI claims</p><p>50:23 From workshops to AI consulting</p><p>55:34 Pain points businesses face with AI</p><p>\58:58 The challenge of scaling consulting work</p><p>01:00:39 Teaching adults vs. teaching students</p><p>01:03:19 What people really need to learn about LLMs</p><p>01:07:43 Why Perplexity stands out</p><p>01:09:01 Why people like working with Sophie</p><p>01:10:58 Why Sophie does what she does</p><p>01:14:01 Final advice for AI founders</p><p>📰 Join the Newsletter: [https://newsletter.theaireport.ai/subscribe]</p><p>⭐️ Get Enterprise Training: [https://www.upscaile.com/corporate-training]</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4198</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0c6960f2-f94e-405b-9d87-9a40dc7b0f7e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4231155719.mp3?updated=1776300109" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>95% of AI Fails at Big Companies, AI SaaS is dead | Othmane Khadri</title>
      <description>Connect with Othmane Khadri: https://www.linkedin.com/in/othmane-khadri-b48162236/

👉 Othmane Khadri shares his journey from working in startups to launching his own agency, emphasizing the importance of betting on oneself and the evolving landscape of AI and entrepreneurship. He discusses the challenges of marketing in a commoditized product environment, the significance of data in AI implementations, and his agency's unique approach to support early-stage startups. Othmane also reflects on the qualities of successful entrepreneurs, the cultural perceptions of entrepreneurship, and the importance of personal values and health in achieving success.

📚 Chapters
00:00 From Employee to Entrepreneur: A Pivotal Shift 
05:42 The Future of AI and Entrepreneurship 
11:27 Building a Unique Agency: Insights and Strategies 
16:52 Navigating Early Stage Startups vs. Established Companies 
22:30 The Role of Data in AI Implementation 
28:17 Leveraging AI for Business Growth 
34:26 The Human-AI Collaboration in Business 
38:28 Incentivizing Talent in the Age of AI  
40:50 Finding and Attracting High Ownership Talent  
43:09 Hiring for Brains vs. Hands  
44:54 The Importance of Incentives and Profit Sharing  
48:35 The Evolution of Earleads and Branding  
52:07 Common Traits of Successful Entrepreneurs  
55:11 Learning from Failure and System Thinking  
57:30 Cultural Perspectives on Entrepreneurship  
01:05:43 Processing Failure and Personal Habits  
01:07:42 Motivations Behind Entrepreneurship 

 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe 
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 25 Sep 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e2966c0-34de-11f1-8875-dfb0fc2f620d/image/7e8ecc2af791dea12497ec924dd7eaad.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Othmane Khadri: https://www.linkedin.com/in/othmane-khadri-b48162236/

👉 Othmane Khadri shares his journey from working in startups to launching his own agency, emphasizing the importance of betting on oneself and the evolving landscape of AI and entrepreneurship. He discusses the challenges of marketing in a commoditized product environment, the significance of data in AI implementations, and his agency's unique approach to support early-stage startups. Othmane also reflects on the qualities of successful entrepreneurs, the cultural perceptions of entrepreneurship, and the importance of personal values and health in achieving success.

📚 Chapters
00:00 From Employee to Entrepreneur: A Pivotal Shift 
05:42 The Future of AI and Entrepreneurship 
11:27 Building a Unique Agency: Insights and Strategies 
16:52 Navigating Early Stage Startups vs. Established Companies 
22:30 The Role of Data in AI Implementation 
28:17 Leveraging AI for Business Growth 
34:26 The Human-AI Collaboration in Business 
38:28 Incentivizing Talent in the Age of AI  
40:50 Finding and Attracting High Ownership Talent  
43:09 Hiring for Brains vs. Hands  
44:54 The Importance of Incentives and Profit Sharing  
48:35 The Evolution of Earleads and Branding  
52:07 Common Traits of Successful Entrepreneurs  
55:11 Learning from Failure and System Thinking  
57:30 Cultural Perspectives on Entrepreneurship  
01:05:43 Processing Failure and Personal Habits  
01:07:42 Motivations Behind Entrepreneurship 

 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe 
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Othmane Khadri: https://www.linkedin.com/in/othmane-khadri-b48162236/</p><p><br></p><p>👉 Othmane Khadri shares his journey from working in startups to launching his own agency, emphasizing the importance of betting on oneself and the evolving landscape of AI and entrepreneurship. He discusses the challenges of marketing in a commoditized product environment, the significance of data in AI implementations, and his agency's unique approach to support early-stage startups. Othmane also reflects on the qualities of successful entrepreneurs, the cultural perceptions of entrepreneurship, and the importance of personal values and health in achieving success.</p><p><br></p><p>📚 Chapters</p><p>00:00 From Employee to Entrepreneur: A Pivotal Shift </p><p>05:42 The Future of AI and Entrepreneurship </p><p>11:27 Building a Unique Agency: Insights and Strategies </p><p>16:52 Navigating Early Stage Startups vs. Established Companies </p><p>22:30 The Role of Data in AI Implementation </p><p>28:17 Leveraging AI for Business Growth </p><p>34:26 The Human-AI Collaboration in Business </p><p>38:28 Incentivizing Talent in the Age of AI  </p><p>40:50 Finding and Attracting High Ownership Talent  </p><p>43:09 Hiring for Brains vs. Hands  </p><p>44:54 The Importance of Incentives and Profit Sharing  </p><p>48:35 The Evolution of Earleads and Branding  </p><p>52:07 Common Traits of Successful Entrepreneurs  </p><p>55:11 Learning from Failure and System Thinking  </p><p>57:30 Cultural Perspectives on Entrepreneurship  </p><p>01:05:43 Processing Failure and Personal Habits  </p><p>01:07:42 Motivations Behind Entrepreneurship </p><p><br></p><p> 📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe </p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4578</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>The Truth About B2B Newsletters in 2025, $1.50 Per New Subscriber &amp; Why Email is Best | Ben Billups</title>
      <description>Try breaker here: joinbreaker.ai/tair1
👉 In this conversation, Liam Lawson and Ben Billups dive into a wide range of topics—from the benefits of standing desks and coworking spaces to the impact of AI on technology and marketing. They discuss the transition from agency work to SaaS, the importance of email marketing and newsletters, and how AI is reshaping the future of communication. Ben also shares insights from building his unique email platform, Breaker, highlighting ethical marketing, solving real customer problems, and navigating compliance challenges. The episode wraps with forward-looking predictions on tech trends, audience ownership, and the evolving role of AI in business.
📚 Chapters
00:00 Introduction and Standing Desks 
02:52 Coworking Spaces and Venture Capital 
05:42 The Future of Tech and AI 
08:43 Vibe Coding and GPT-5 
11:23 Product Market Fit and Email Marketing  
14:37 The Rise of Newsletters  
17:12 Creating Unique Content  
20:17 Transitioning from Agency to SaaS  
22:45 Mindset Shift in SaaS Development  
34:23 Navigating SaaS Development Challenges  
35:59 Differentiating Breaker in the Email Market  
37:50 Innovative Lead Generation Strategies  
41:58 Target Audience and Market Fit  
43:44 Understanding Email Compliance and Deliverability 
47:22 The Impact of AI on Business and Compliance  
48:18 Building a Defensible Business Model  
50:48 The Future of Audience Ownership  
56:45 Rented vs. Owned Audiences  
57:42 The Role of Platforms in Business Growth  
59:41 Customer Support in a Scaled Environment  
01:01:16 AI Integration in Business Processes  
01:03:29 Predictions for the Future of Tech and AI  
📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 19 Sep 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0e957e8c-34de-11f1-8875-37307e92fa6f/image/80cd30b3a9374c7b321f32fb74be92b1.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Try breaker here: joinbreaker.ai/tair1
👉 In this conversation, Liam Lawson and Ben Billups dive into a wide range of topics—from the benefits of standing desks and coworking spaces to the impact of AI on technology and marketing. They discuss the transition from agency work to SaaS, the importance of email marketing and newsletters, and how AI is reshaping the future of communication. Ben also shares insights from building his unique email platform, Breaker, highlighting ethical marketing, solving real customer problems, and navigating compliance challenges. The episode wraps with forward-looking predictions on tech trends, audience ownership, and the evolving role of AI in business.
📚 Chapters
00:00 Introduction and Standing Desks 
02:52 Coworking Spaces and Venture Capital 
05:42 The Future of Tech and AI 
08:43 Vibe Coding and GPT-5 
11:23 Product Market Fit and Email Marketing  
14:37 The Rise of Newsletters  
17:12 Creating Unique Content  
20:17 Transitioning from Agency to SaaS  
22:45 Mindset Shift in SaaS Development  
34:23 Navigating SaaS Development Challenges  
35:59 Differentiating Breaker in the Email Market  
37:50 Innovative Lead Generation Strategies  
41:58 Target Audience and Market Fit  
43:44 Understanding Email Compliance and Deliverability 
47:22 The Impact of AI on Business and Compliance  
48:18 Building a Defensible Business Model  
50:48 The Future of Audience Ownership  
56:45 Rented vs. Owned Audiences  
57:42 The Role of Platforms in Business Growth  
59:41 Customer Support in a Scaled Environment  
01:01:16 AI Integration in Business Processes  
01:03:29 Predictions for the Future of Tech and AI  
📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Try breaker here: joinbreaker.ai/tair1</p><p>👉 In this conversation, Liam Lawson and Ben Billups dive into a wide range of topics—from the benefits of standing desks and coworking spaces to the impact of AI on technology and marketing. They discuss the transition from agency work to SaaS, the importance of email marketing and newsletters, and how AI is reshaping the future of communication. Ben also shares insights from building his unique email platform, Breaker, highlighting ethical marketing, solving real customer problems, and navigating compliance challenges. The episode wraps with forward-looking predictions on tech trends, audience ownership, and the evolving role of AI in business.</p><p>📚 Chapters</p><p>00:00 Introduction and Standing Desks </p><p>02:52 Coworking Spaces and Venture Capital </p><p>05:42 The Future of Tech and AI </p><p>08:43 Vibe Coding and GPT-5 </p><p>11:23 Product Market Fit and Email Marketing  </p><p>14:37 The Rise of Newsletters  </p><p>17:12 Creating Unique Content  </p><p>20:17 Transitioning from Agency to SaaS  </p><p>22:45 Mindset Shift in SaaS Development  </p><p>34:23 Navigating SaaS Development Challenges  </p><p>35:59 Differentiating Breaker in the Email Market  </p><p>37:50 Innovative Lead Generation Strategies  </p><p>41:58 Target Audience and Market Fit  </p><p>43:44 Understanding Email Compliance and Deliverability </p><p>47:22 The Impact of AI on Business and Compliance  </p><p>48:18 Building a Defensible Business Model  </p><p>50:48 The Future of Audience Ownership  </p><p>56:45 Rented vs. Owned Audiences  </p><p>57:42 The Role of Platforms in Business Growth  </p><p>59:41 Customer Support in a Scaled Environment  </p><p>01:01:16 AI Integration in Business Processes  </p><p>01:03:29 Predictions for the Future of Tech and AI  </p><p>📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  </p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  <br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4735</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f2422055-0910-4046-96ef-61aaaf44a6df]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5792064824.mp3?updated=1776300828" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>0 — 130K on LinkedIn in Less Than 10 months, Cold Outbound &amp; YC Startups</title>
      <description>Connect with Manthan Patel: https://www.linkedin.com/in/leadgenmanthan/

👉 In this conversation, Manthan Patel shares his journey into AI and content creation, highlighting the role of altruism, self-improvement, and openness in building a meaningful career. He discusses his early experiences with AI, his work with Vector Shift AI, and the lessons learned from his mentor, Albert. Manthan also dives into course development, the importance of understanding audience psychology, and the evolution of lead generation strategies. Along the way, he emphasizes the value of personal branding, effective time management, and human connection in high-ticket sales. The discussion closes with advice for those entering the AI industry—reminding us that technical expertise is no longer a barrier to starting.

📚 Chapters
00:00 Core Principles of Altruism and Self-Improvement 
02:09 First Encounters with AI Technology 
04:12 Working with Vector Shift AI  
07:45 Lessons from Albert: Entrepreneurship Insights  
09:20 Course Development Journey  
13:39 Evaluating Course Success and Growth  
16:34 Understanding the Audience  
18:53 The Evolution of Lead Generation  
23:00 Cold Outreach Strategies and Effectiveness  
25:00 The Human Element in High-Ticket Sales  
28:38 Understanding Client Demographics and Success Stories  
30:28 Diverse Clientele: From Vending Machines to SaaS  
32:52 Building a Social Media Presence: Strategies for Growth  
35:23 The Psychology of Content: Hooks and Engagement  
37:17 Daily Routines: Balancing Work and Learning  
44:21 The Importance of Personal Branding  
52:06 Demystifying AI: Accessibility for All  

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 12 Sep 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0f01a6fc-34de-11f1-8875-07d04a29ed7f/image/aa10f8d28253f71c67712280613bded1.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Manthan Patel: https://www.linkedin.com/in/leadgenmanthan/

👉 In this conversation, Manthan Patel shares his journey into AI and content creation, highlighting the role of altruism, self-improvement, and openness in building a meaningful career. He discusses his early experiences with AI, his work with Vector Shift AI, and the lessons learned from his mentor, Albert. Manthan also dives into course development, the importance of understanding audience psychology, and the evolution of lead generation strategies. Along the way, he emphasizes the value of personal branding, effective time management, and human connection in high-ticket sales. The discussion closes with advice for those entering the AI industry—reminding us that technical expertise is no longer a barrier to starting.

📚 Chapters
00:00 Core Principles of Altruism and Self-Improvement 
02:09 First Encounters with AI Technology 
04:12 Working with Vector Shift AI  
07:45 Lessons from Albert: Entrepreneurship Insights  
09:20 Course Development Journey  
13:39 Evaluating Course Success and Growth  
16:34 Understanding the Audience  
18:53 The Evolution of Lead Generation  
23:00 Cold Outreach Strategies and Effectiveness  
25:00 The Human Element in High-Ticket Sales  
28:38 Understanding Client Demographics and Success Stories  
30:28 Diverse Clientele: From Vending Machines to SaaS  
32:52 Building a Social Media Presence: Strategies for Growth  
35:23 The Psychology of Content: Hooks and Engagement  
37:17 Daily Routines: Balancing Work and Learning  
44:21 The Importance of Personal Branding  
52:06 Demystifying AI: Accessibility for All  

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Manthan Patel: https://www.linkedin.com/in/leadgenmanthan/</p><p><br></p><p>👉 In this conversation, Manthan Patel shares his journey into AI and content creation, highlighting the role of altruism, self-improvement, and openness in building a meaningful career. He discusses his early experiences with AI, his work with Vector Shift AI, and the lessons learned from his mentor, Albert. Manthan also dives into course development, the importance of understanding audience psychology, and the evolution of lead generation strategies. Along the way, he emphasizes the value of personal branding, effective time management, and human connection in high-ticket sales. The discussion closes with advice for those entering the AI industry—reminding us that technical expertise is no longer a barrier to starting.</p><p><br></p><p>📚 Chapters</p><p>00:00 Core Principles of Altruism and Self-Improvement </p><p>02:09 First Encounters with AI Technology </p><p>04:12 Working with Vector Shift AI  </p><p>07:45 Lessons from Albert: Entrepreneurship Insights  </p><p>09:20 Course Development Journey  </p><p>13:39 Evaluating Course Success and Growth  </p><p>16:34 Understanding the Audience  </p><p>18:53 The Evolution of Lead Generation  </p><p>23:00 Cold Outreach Strategies and Effectiveness  </p><p>25:00 The Human Element in High-Ticket Sales  </p><p>28:38 Understanding Client Demographics and Success Stories  </p><p>30:28 Diverse Clientele: From Vending Machines to SaaS  </p><p>32:52 Building a Social Media Presence: Strategies for Growth  </p><p>35:23 The Psychology of Content: Hooks and Engagement  </p><p>37:17 Daily Routines: Balancing Work and Learning  </p><p>44:21 The Importance of Personal Branding  </p><p>52:06 Demystifying AI: Accessibility for All  </p><p><br></p><p>📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe  </p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training  </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3624</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[93ca9e56-f545-471e-bf3c-5a551e64785e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9909671226.mp3?updated=1776301551" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The 1 person AI Agent model, Stories of Solopreneurship &amp; Closing First Clients | Sabahudin Murtic</title>
      <description>Connect with Sabahudin: https://www.linkedin.com/in/sabahudin-murtic/
👉 In this conversation, Liam Lawson and Sabahudin Murtic discuss the impact of AI on critical thinking, the journey of entrepreneurship, and the importance of building a personal brand on LinkedIn. Sabahudin shares his experiences with AI tools, learning through experimentation, and the significance of community and networking in achieving success. They also delve into client relationships, crafting offers, and provide advice for aspiring entrepreneurs looking to navigate the AI landscape.
📚 Chapters
00:00 The Impact of AI on Critical Thinking
04:42 Personal Journey into AI and Entrepreneurship
09:16 Building a Brand on LinkedIn
13:57 Learning and Experimentation in AI
18:45 The Importance of Community and Networking
23:14 Navigating Client Relationships and Sales
27:50 Technical Infrastructure and Tools for Success
32:24 Crafting Offers and Understanding Client Needs
37:07 Advice for Aspiring Entrepreneurs in AI

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 05 Sep 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0f6adce4-34de-11f1-8875-439f4d460846/image/74f54af9620f697b72d574a9a7638c94.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Connect with Sabahudin: https://www.linkedin.com/in/sabahudin-murtic/
👉 In this conversation, Liam Lawson and Sabahudin Murtic discuss the impact of AI on critical thinking, the journey of entrepreneurship, and the importance of building a personal brand on LinkedIn. Sabahudin shares his experiences with AI tools, learning through experimentation, and the significance of community and networking in achieving success. They also delve into client relationships, crafting offers, and provide advice for aspiring entrepreneurs looking to navigate the AI landscape.
📚 Chapters
00:00 The Impact of AI on Critical Thinking
04:42 Personal Journey into AI and Entrepreneurship
09:16 Building a Brand on LinkedIn
13:57 Learning and Experimentation in AI
18:45 The Importance of Community and Networking
23:14 Navigating Client Relationships and Sales
27:50 Technical Infrastructure and Tools for Success
32:24 Crafting Offers and Understanding Client Needs
37:07 Advice for Aspiring Entrepreneurs in AI

📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe
⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Connect with Sabahudin: https://www.linkedin.com/in/sabahudin-murtic/</p><p>👉 In this conversation, Liam Lawson and Sabahudin Murtic discuss the impact of AI on critical thinking, the journey of entrepreneurship, and the importance of building a personal brand on LinkedIn. Sabahudin shares his experiences with AI tools, learning through experimentation, and the significance of community and networking in achieving success. They also delve into client relationships, crafting offers, and provide advice for aspiring entrepreneurs looking to navigate the AI landscape.</p><p>📚 Chapters</p><p>00:00 The Impact of AI on Critical Thinking</p><p>04:42 Personal Journey into AI and Entrepreneurship</p><p>09:16 Building a Brand on LinkedIn</p><p>13:57 Learning and Experimentation in AI</p><p>18:45 The Importance of Community and Networking</p><p>23:14 Navigating Client Relationships and Sales</p><p>27:50 Technical Infrastructure and Tools for Success</p><p>32:24 Crafting Offers and Understanding Client Needs</p><p>37:07 Advice for Aspiring Entrepreneurs in AI</p><p><br></p><p>📰 Join the Newsletter: https://newsletter.theaireport.ai/subscribe</p><p>⭐️ Get Enterprise Training: https://www.upscaile.com/corporate-training</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3609</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8963287a-de5f-4fc7-bfdd-e3992afb9870]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3750175612.mp3?updated=1776299957" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why Newsletters Still Crush in 2025, Building with AI is Harder Than You Think &amp; Going to the Moon with AI | Ethan Reeves</title>
      <description>Sign up to Orbit Flows here: orbitflows.com?via=theaireport
Summary
In this conversation, Ethan Reeves shares his journey from a young programmer to co-founder of Orbit Marketing, discussing the evolution of AI and its impact on marketing. He emphasizes the importance of email marketing, trust, and authority in building successful businesses. Ethan also delves into the challenges of navigating the SaaS landscape, the significance of having a structured process in place, and the joy of creating and building products that provide value to users.
Chapters
00:00 Introduction to Ethan Reeves and His Background
02:57 The Evolution of AI and Machine Learning
05:36 Founding Orbit Marketing and Its Journey
08:43 The Power of Email Marketing and Newsletters
11:31 Trust, Authority, and Credibility in Email Marketing
14:09 The Role of Personal Stories in Newsletters
17:23 Orbit Marketing's Approach to Client Engagement
20:13 Building Trust Through Value in Email Communication
23:05 The Challenges of Building AI SaaS Products
26:02 The Myth of Easy Software Development
28:58 The Reality of SaaS Valuations and Market Expectations
32:53 Navigating the Vaporware Landscape
35:41 Building a Sticky Software Product
37:31 The Evolution of OrbitFlows
39:22 The Power of Context in AI
42:02 Creating Value and Reducing Friction
44:28 The Importance of Stickiness in Software
46:00 Execution and Vision in Startups
49:56 The Pace of Development
56:56 Aiming for the Stars: The Future of OrbitFlows
Sign up for the newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: https://www.skool.com/the-ai-report-community/about

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 29 Aug 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/0fd400a2-34de-11f1-8875-1bc9865dccd8/image/54220c2e8208376d8b962f9f00eeae4d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Sign up to Orbit Flows here: orbitflows.com?via=theaireport
Summary
In this conversation, Ethan Reeves shares his journey from a young programmer to co-founder of Orbit Marketing, discussing the evolution of AI and its impact on marketing. He emphasizes the importance of email marketing, trust, and authority in building successful businesses. Ethan also delves into the challenges of navigating the SaaS landscape, the significance of having a structured process in place, and the joy of creating and building products that provide value to users.
Chapters
00:00 Introduction to Ethan Reeves and His Background
02:57 The Evolution of AI and Machine Learning
05:36 Founding Orbit Marketing and Its Journey
08:43 The Power of Email Marketing and Newsletters
11:31 Trust, Authority, and Credibility in Email Marketing
14:09 The Role of Personal Stories in Newsletters
17:23 Orbit Marketing's Approach to Client Engagement
20:13 Building Trust Through Value in Email Communication
23:05 The Challenges of Building AI SaaS Products
26:02 The Myth of Easy Software Development
28:58 The Reality of SaaS Valuations and Market Expectations
32:53 Navigating the Vaporware Landscape
35:41 Building a Sticky Software Product
37:31 The Evolution of OrbitFlows
39:22 The Power of Context in AI
42:02 Creating Value and Reducing Friction
44:28 The Importance of Stickiness in Software
46:00 Execution and Vision in Startups
49:56 The Pace of Development
56:56 Aiming for the Stars: The Future of OrbitFlows
Sign up for the newsletter: https://newsletter.theaireport.ai/subscribe
Join the community: https://www.skool.com/the-ai-report-community/about

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Sign up to Orbit Flows here: <a href="http://orbitflows.com/?via=theaireport">orbitflows.com?via=theaireport</a></p><p>Summary</p><p>In this conversation, Ethan Reeves shares his journey from a young programmer to co-founder of Orbit Marketing, discussing the evolution of AI and its impact on marketing. He emphasizes the importance of email marketing, trust, and authority in building successful businesses. Ethan also delves into the challenges of navigating the SaaS landscape, the significance of having a structured process in place, and the joy of creating and building products that provide value to users.</p><p>Chapters</p><p>00:00 Introduction to Ethan Reeves and His Background</p><p>02:57 The Evolution of AI and Machine Learning</p><p>05:36 Founding Orbit Marketing and Its Journey</p><p>08:43 The Power of Email Marketing and Newsletters</p><p>11:31 Trust, Authority, and Credibility in Email Marketing</p><p>14:09 The Role of Personal Stories in Newsletters</p><p>17:23 Orbit Marketing's Approach to Client Engagement</p><p>20:13 Building Trust Through Value in Email Communication</p><p>23:05 The Challenges of Building AI SaaS Products</p><p>26:02 The Myth of Easy Software Development</p><p>28:58 The Reality of SaaS Valuations and Market Expectations</p><p>32:53 Navigating the Vaporware Landscape</p><p>35:41 Building a Sticky Software Product</p><p>37:31 The Evolution of OrbitFlows</p><p>39:22 The Power of Context in AI</p><p>42:02 Creating Value and Reducing Friction</p><p>44:28 The Importance of Stickiness in Software</p><p>46:00 Execution and Vision in Startups</p><p>49:56 The Pace of Development</p><p>56:56 Aiming for the Stars: The Future of OrbitFlows</p><p>Sign up for the newsletter: https://newsletter.theaireport.ai/subscribe</p><p>Join the community: https://www.skool.com/the-ai-report-community/about</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4231</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7bc37fac-1aa8-4948-be20-c71bf1834182]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9382361579.mp3?updated=1776300150" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How to actually rank in 2025 (SEO, GEO, Featured.com) | Chris Raulf</title>
      <description>🔗 Connect with Chris here

In this podcast episode, Chris Raulf shares his extensive journey in the SEO industry, starting from his early days in 1996 to the present, where he emphasizes the transformative impact of AI on search engine optimization. He introduces the concept of Generative Engine Optimization (GEO) and discusses the importance of E-E-A-T principles in creating valuable content. Chris also contrasts white hat and black hat SEO strategies, explains the shift from traditional SEO to content marketing, and highlights the evolving landscape of search engines and content distribution. He addresses the implications of AI on search traffic and shares insights on micro SEO strategies and the role of directories and featured profiles in enhancing online visibility. Finally, Chris reflects on the future of SEO and the importance of continuous learning in a rapidly changing environment, driven by his passion for the field.


Takeaways

Chris Raulf transitioned into SEO after years in marketing roles.
Generative Engine Optimization (GEO) is a new term gaining traction.
E-E-A-T principles are crucial for ranking high in search results.
White hat SEO strategies comply with Google's guidelines, while black hat strategies do not.
The shift from SEO to content marketing is significant in today's landscape.
Search engines are evolving to index content from various platforms.
AI is changing how search traffic is generated and managed.
Micro SEO strategies involve creating superior content using AI insights.
Directories can enhance visibility if they rank well in search results.
Continuous learning is essential to stay ahead in the rapidly evolving SEO landscape.


Titles

The SEO Journey: From 1996 to Today
Generative Engine Optimization Explained


Sound bites

"I just decided after reading a horoscope."
"Search everywhere optimization is the new SEO."
"Impressions go up, clicks stay the same."


Chapters

00:00 Introduction to SEO and Chris Raulf's Journey
02:58 Understanding Generative Engine Optimization (GEO)
05:52 The Importance of E-E-A-T Principles in SEO
08:32 Navigating Domain Authority and Trustworthiness
11:18 Content Creation: Quality Over Quantity
14:14 Transitioning from SEO to Content Marketing
16:54 The Evolution of Search Engines and User Behavior
19:29 Search Everywhere Optimization: A New Approach
22:22 The Impact of AI on Search Volume and Traffic
25:14 Micro SEO Strategies and AI Integration
28:27 Creating a Hybrid Content Strategy
31:39 Maximizing Content Value Through AI Tools
33:02 Understanding Robots.txt and LLM.txt
35:42 Leveraging Featured.com for Personal Branding
38:58 The Role of Directories in SEO
43:12 International Perspectives on SEO Trends
47:03 The Future of AI in SEO
50:41 Continuous Learning in a Rapidly Evolving Field
55:37 Passion for SEO and Its Impact on Career


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 22 Aug 2025 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/103fc2ce-34de-11f1-8875-a3c23a2782ab/image/cd3c695c80dba727f8bb7b0c0a872337.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>🔗 Connect with Chris here

In this podcast episode, Chris Raulf shares his extensive journey in the SEO industry, starting from his early days in 1996 to the present, where he emphasizes the transformative impact of AI on search engine optimization. He introduces the concept of Generative Engine Optimization (GEO) and discusses the importance of E-E-A-T principles in creating valuable content. Chris also contrasts white hat and black hat SEO strategies, explains the shift from traditional SEO to content marketing, and highlights the evolving landscape of search engines and content distribution. He addresses the implications of AI on search traffic and shares insights on micro SEO strategies and the role of directories and featured profiles in enhancing online visibility. Finally, Chris reflects on the future of SEO and the importance of continuous learning in a rapidly changing environment, driven by his passion for the field.


Takeaways

Chris Raulf transitioned into SEO after years in marketing roles.
Generative Engine Optimization (GEO) is a new term gaining traction.
E-E-A-T principles are crucial for ranking high in search results.
White hat SEO strategies comply with Google's guidelines, while black hat strategies do not.
The shift from SEO to content marketing is significant in today's landscape.
Search engines are evolving to index content from various platforms.
AI is changing how search traffic is generated and managed.
Micro SEO strategies involve creating superior content using AI insights.
Directories can enhance visibility if they rank well in search results.
Continuous learning is essential to stay ahead in the rapidly evolving SEO landscape.


Titles

The SEO Journey: From 1996 to Today
Generative Engine Optimization Explained


Sound bites

"I just decided after reading a horoscope."
"Search everywhere optimization is the new SEO."
"Impressions go up, clicks stay the same."


Chapters

00:00 Introduction to SEO and Chris Raulf's Journey
02:58 Understanding Generative Engine Optimization (GEO)
05:52 The Importance of E-E-A-T Principles in SEO
08:32 Navigating Domain Authority and Trustworthiness
11:18 Content Creation: Quality Over Quantity
14:14 Transitioning from SEO to Content Marketing
16:54 The Evolution of Search Engines and User Behavior
19:29 Search Everywhere Optimization: A New Approach
22:22 The Impact of AI on Search Volume and Traffic
25:14 Micro SEO Strategies and AI Integration
28:27 Creating a Hybrid Content Strategy
31:39 Maximizing Content Value Through AI Tools
33:02 Understanding Robots.txt and LLM.txt
35:42 Leveraging Featured.com for Personal Branding
38:58 The Role of Directories in SEO
43:12 International Perspectives on SEO Trends
47:03 The Future of AI in SEO
50:41 Continuous Learning in a Rapidly Evolving Field
55:37 Passion for SEO and Its Impact on Career


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><a href="https://boulderseomarketing.com/ai-and-seo-guide-and-best-practices/?utm_source=newsletter&amp;utm_medium=email&amp;utm_campaign=ai_report&amp;utm_id=Ai+Report">🔗 Connect with Chris here</a></p><p><br></p><p>In this podcast episode, Chris Raulf shares his extensive journey in the SEO industry, starting from his early days in 1996 to the present, where he emphasizes the transformative impact of AI on search engine optimization. He introduces the concept of Generative Engine Optimization (GEO) and discusses the importance of E-E-A-T principles in creating valuable content. Chris also contrasts white hat and black hat SEO strategies, explains the shift from traditional SEO to content marketing, and highlights the evolving landscape of search engines and content distribution. He addresses the implications of AI on search traffic and shares insights on micro SEO strategies and the role of directories and featured profiles in enhancing online visibility. Finally, Chris reflects on the future of SEO and the importance of continuous learning in a rapidly changing environment, driven by his passion for the field.</p><p><br></p><p><br></p><p>Takeaways</p><p><br></p><p>Chris Raulf transitioned into SEO after years in marketing roles.</p><p>Generative Engine Optimization (GEO) is a new term gaining traction.</p><p>E-E-A-T principles are crucial for ranking high in search results.</p><p>White hat SEO strategies comply with Google's guidelines, while black hat strategies do not.</p><p>The shift from SEO to content marketing is significant in today's landscape.</p><p>Search engines are evolving to index content from various platforms.</p><p>AI is changing how search traffic is generated and managed.</p><p>Micro SEO strategies involve creating superior content using AI insights.</p><p>Directories can enhance visibility if they rank well in search results.</p><p>Continuous learning is essential to stay ahead in the rapidly evolving SEO landscape.</p><p><br></p><p><br></p><p>Titles</p><p><br></p><p>The SEO Journey: From 1996 to Today</p><p>Generative Engine Optimization Explained</p><p><br></p><p><br></p><p>Sound bites</p><p><br></p><p>"I just decided after reading a horoscope."</p><p>"Search everywhere optimization is the new SEO."</p><p>"Impressions go up, clicks stay the same."</p><p><br></p><p><br></p><p>Chapters</p><p><br></p><p>00:00 Introduction to SEO and Chris Raulf's Journey</p><p>02:58 Understanding Generative Engine Optimization (GEO)</p><p>05:52 The Importance of E-E-A-T Principles in SEO</p><p>08:32 Navigating Domain Authority and Trustworthiness</p><p>11:18 Content Creation: Quality Over Quantity</p><p>14:14 Transitioning from SEO to Content Marketing</p><p>16:54 The Evolution of Search Engines and User Behavior</p><p>19:29 Search Everywhere Optimization: A New Approach</p><p>22:22 The Impact of AI on Search Volume and Traffic</p><p>25:14 Micro SEO Strategies and AI Integration</p><p>28:27 Creating a Hybrid Content Strategy</p><p>31:39 Maximizing Content Value Through AI Tools</p><p>33:02 Understanding Robots.txt and LLM.txt</p><p>35:42 Leveraging Featured.com for Personal Branding</p><p>38:58 The Role of Directories in SEO</p><p>43:12 International Perspectives on SEO Trends</p><p>47:03 The Future of AI in SEO</p><p>50:41 Continuous Learning in a Rapidly Evolving Field</p><p>55:37 Passion for SEO and Its Impact on Career</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3580</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>How To Build High-Converting UGC Ads Using AI Tools</title>
      <description>🎯 Replace Influencers with AI? This Guy Already Did.
This week on The AI Report, host Liam Lawson chats with Andrew DiLullo—performance marketer and founder of AdCrunch Digital—about how AI is transforming ad creative right now.
Andrew walks us through his full stack: from pulling TikTok scripts to feeding ChatGPT, generating AI spokespeople with Arcads, and scaling UGC videos at $20 a pop. No fluff, just the full system.
We also get into:
• The fall of traditional influencers
• Real vs fake UGC—can you tell anymore?
• Why Meta’s push for AI-only ads might backfire
• The ethics of “making up” testimonials with GPT
• What AI still can’t do (yet)
Whether you’re a founder, creative, or just AI-curious, this one’s a masterclass.
💡 Read The AI Report (it’s free): https://theaireport.beehiiv.com/subscribe
📩 Want to work with Andrew? Visit https://adcrunchdigital.com

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 25 Jul 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>51</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/10ae0004-34de-11f1-8875-9303f34cff00/image/92186f4b974d1c2e345112d40fe9c192.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>🎯 Replace Influencers with AI? This Guy Already Did.
This week on The AI Report, host Liam Lawson chats with Andrew DiLullo—performance marketer and founder of AdCrunch Digital—about how AI is transforming ad creative right now.
Andrew walks us through his full stack: from pulling TikTok scripts to feeding ChatGPT, generating AI spokespeople with Arcads, and scaling UGC videos at $20 a pop. No fluff, just the full system.
We also get into:
• The fall of traditional influencers
• Real vs fake UGC—can you tell anymore?
• Why Meta’s push for AI-only ads might backfire
• The ethics of “making up” testimonials with GPT
• What AI still can’t do (yet)
Whether you’re a founder, creative, or just AI-curious, this one’s a masterclass.
💡 Read The AI Report (it’s free): https://theaireport.beehiiv.com/subscribe
📩 Want to work with Andrew? Visit https://adcrunchdigital.com

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>🎯 Replace Influencers with AI? This Guy Already Did.</p><p>This week on The AI Report, host Liam Lawson chats with Andrew DiLullo—performance marketer and founder of AdCrunch Digital—about how AI is transforming ad creative right now.</p><p>Andrew walks us through his full stack: from pulling TikTok scripts to feeding ChatGPT, generating AI spokespeople with Arcads, and scaling UGC videos at $20 a pop. No fluff, just the full system.</p><p>We also get into:</p><p>• The fall of traditional influencers</p><p>• Real vs fake UGC—can you tell anymore?</p><p>• Why Meta’s push for AI-only ads might backfire</p><p>• The ethics of “making up” testimonials with GPT</p><p>• What AI still can’t do (yet)</p><p>Whether you’re a founder, creative, or just AI-curious, this one’s a masterclass.</p><p>💡 Read The AI Report (it’s free): https://theaireport.beehiiv.com/subscribe</p><p>📩 Want to work with Andrew? Visit https://adcrunchdigital.com</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2549</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f69e2c8a-bdab-477a-a9a5-a76dde89f27f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4838087607.mp3?updated=1776341525" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why Eric Sui Builds in Public (And What He’s Learned)</title>
      <description>This week on The AI Report, Liam Lawson is joined by Eric Sui—indie hacker, AI builder, and creator of Agents Playbook—to talk about designing with agents instead of apps.
Eric breaks down how he moved from casual GPT-3 experimentation to building structured AI workflows that solve real problems. They dig into agent UX, why many AI tools fall short, and how indie builders can actually move faster by thinking in systems.
Also in this episode:
	•	Why agents are more than just automations
	•	How no-code stacks can launch powerful workflows
	•	Lessons from “building in public” on Twitter
	•	How to find product ideas in your own frustration
	•	The future of indie AI projects and agent-led design
Whether you’re trying to build smarter tools or just want to understand how agents are reshaping what software can do, this episode is packed with insight.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Intro to Eric Sui
(01:12) Hacking on GPT-3 Before It Was Popular
(03:05) Where AI Products Go Wrong
(04:56) User Experience for Agents
(06:29) Thinking in Systems, Not Features
(08:15) How LLMs Shift the Tool Paradigm
(09:53) Launching With No-Code + GPT
(11:27) Product Validation as Self-Therapy
(13:10) Getting Better Feedback Faster
(14:52) Public Building as a Strategy
(16:47) Twitter Feedback Loops
(19:01) Starting From Zero Audience
(20:45) Workflow Design and Mental Models
(22:39) How to Think With Agents
(24:26) Indiehacking, Investment, and Staying Lean
(26:11) Staying Close to Your Problem Space
(27:53) Teaching Builders Through Agents Playbook
(29:45) What’s Next for Eric
(31:22) Where to Connect


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 18 Jul 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>50</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/11318dd4-34de-11f1-8875-eb3c3ea8f540/image/562b8be982c0be201cb3713da373b87a.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Eric Sui—indie hacker, AI builder, and creator of Agents Playbook—to talk about designing with agents instead of apps.
Eric breaks down how he moved from casual GPT-3 experimentation to building structured AI workflows that solve real problems. They dig into agent UX, why many AI tools fall short, and how indie builders can actually move faster by thinking in systems.
Also in this episode:
	•	Why agents are more than just automations
	•	How no-code stacks can launch powerful workflows
	•	Lessons from “building in public” on Twitter
	•	How to find product ideas in your own frustration
	•	The future of indie AI projects and agent-led design
Whether you’re trying to build smarter tools or just want to understand how agents are reshaping what software can do, this episode is packed with insight.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Intro to Eric Sui
(01:12) Hacking on GPT-3 Before It Was Popular
(03:05) Where AI Products Go Wrong
(04:56) User Experience for Agents
(06:29) Thinking in Systems, Not Features
(08:15) How LLMs Shift the Tool Paradigm
(09:53) Launching With No-Code + GPT
(11:27) Product Validation as Self-Therapy
(13:10) Getting Better Feedback Faster
(14:52) Public Building as a Strategy
(16:47) Twitter Feedback Loops
(19:01) Starting From Zero Audience
(20:45) Workflow Design and Mental Models
(22:39) How to Think With Agents
(24:26) Indiehacking, Investment, and Staying Lean
(26:11) Staying Close to Your Problem Space
(27:53) Teaching Builders Through Agents Playbook
(29:45) What’s Next for Eric
(31:22) Where to Connect


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by Eric Sui—indie hacker, AI builder, and creator of Agents Playbook—to talk about designing with agents instead of apps.</p><p>Eric breaks down how he moved from casual GPT-3 experimentation to building structured AI workflows that solve real problems. They dig into agent UX, why many AI tools fall short, and how indie builders can actually move faster by thinking in systems.</p><p>Also in this episode:</p><p>	•	Why agents are more than just automations</p><p>	•	How no-code stacks can launch powerful workflows</p><p>	•	Lessons from “building in public” on Twitter</p><p>	•	How to find product ideas in your own frustration</p><p>	•	The future of indie AI projects and agent-led design</p><p>Whether you’re trying to build smarter tools or just want to understand how agents are reshaping what software can do, this episode is packed with insight.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Intro to Eric Sui</p><p>(01:12) Hacking on GPT-3 Before It Was Popular</p><p>(03:05) Where AI Products Go Wrong</p><p>(04:56) User Experience for Agents</p><p>(06:29) Thinking in Systems, Not Features</p><p>(08:15) How LLMs Shift the Tool Paradigm</p><p>(09:53) Launching With No-Code + GPT</p><p>(11:27) Product Validation as Self-Therapy</p><p>(13:10) Getting Better Feedback Faster</p><p>(14:52) Public Building as a Strategy</p><p>(16:47) Twitter Feedback Loops</p><p>(19:01) Starting From Zero Audience</p><p>(20:45) Workflow Design and Mental Models</p><p>(22:39) How to Think With Agents</p><p>(24:26) Indiehacking, Investment, and Staying Lean</p><p>(26:11) Staying Close to Your Problem Space</p><p>(27:53) Teaching Builders Through Agents Playbook</p><p>(29:45) What’s Next for Eric</p><p>(31:22) Where to Connect</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3318</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b9af69ff-7c31-413d-aadf-24c42e1c3f8a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6816564707.mp3?updated=1776341585" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why Emotion Is the Next Frontier for AI</title>
      <description>This week on The AI Report, Liam Lawson is joined by Quinn Favret, co-founder and COO of Tavus, to explore how digital humans are reshaping communication across industries.
Quinn shares how Tavus is building AI agents that can engage in real-time, emotionally intelligent conversations—complete with facial expressions, dynamic tone, and personalized responses. The goal isn’t just automation. Its presence. And Quinn believes AI might actually help humans connect more deeply, not less.
They dig into how Tavus trains its models, where conversational AI is already creating real impact, and what it takes to design an experience that feels human, without trying to be one.
Also in this episode:
	•	Why the uncanny valley is a storytelling challenge
	•	What it means to create “brand as soul”
	•	How Tavus enables sales, HR, education, and therapy
	•	Why cultural nuance and context matter more than realism
	•	The role of AI in making communication more accessible
This is a forward-looking episode for anyone building or using AI to solve problems that rely on trust, attention, and human connection.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Intro and Quinn’s Background
(01:03) Engineering, Startups, and YC
(03:20) From ML Forecasting to AI Video
(05:08) How Tavus Got Started
(06:21) Launching During COVID
(07:28) What Tavus Actually Does Today
(09:05) Real Use Cases in Sales, Healthcare, and Media
(11:35) Developer Tools and Agentic Systems
(12:31) Building Machines That Adjust to Us
(14:39) What Makes a Conversation Feel Real
(16:46) Cultural and Contextual Communication
(17:52) How AI Understands People Over Time
(20:45) Could AI Be Better at Talking Than We Are?
(23:03) Why AI Therapy Isn’t as Crazy as It Sounds
(24:40) The Art of Listening and Speaking
(28:33) How Quinn Practices Communication in Life and Work
(30:41) The Meaning Behind the Tavus Brand
(33:29) Tech, Storytelling, and Soul
(35:27) UX Gaps and Human Expectations
(36:43) Tavus in Context: Not Just Avatars
(38:23) What an AI-Powered Future Might Look Like
(40:04) Balancing Tech and Humanity
(41:19) Quinn’s “Why”
(44:54) Where to Connect


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 11 Jul 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/11ac6dba-34de-11f1-8875-6b56eac60615/image/665f85885fe185d87ad9104cb7aeff8f.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Quinn Favret, co-founder and COO of Tavus, to explore how digital humans are reshaping communication across industries.
Quinn shares how Tavus is building AI agents that can engage in real-time, emotionally intelligent conversations—complete with facial expressions, dynamic tone, and personalized responses. The goal isn’t just automation. Its presence. And Quinn believes AI might actually help humans connect more deeply, not less.
They dig into how Tavus trains its models, where conversational AI is already creating real impact, and what it takes to design an experience that feels human, without trying to be one.
Also in this episode:
	•	Why the uncanny valley is a storytelling challenge
	•	What it means to create “brand as soul”
	•	How Tavus enables sales, HR, education, and therapy
	•	Why cultural nuance and context matter more than realism
	•	The role of AI in making communication more accessible
This is a forward-looking episode for anyone building or using AI to solve problems that rely on trust, attention, and human connection.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Intro and Quinn’s Background
(01:03) Engineering, Startups, and YC
(03:20) From ML Forecasting to AI Video
(05:08) How Tavus Got Started
(06:21) Launching During COVID
(07:28) What Tavus Actually Does Today
(09:05) Real Use Cases in Sales, Healthcare, and Media
(11:35) Developer Tools and Agentic Systems
(12:31) Building Machines That Adjust to Us
(14:39) What Makes a Conversation Feel Real
(16:46) Cultural and Contextual Communication
(17:52) How AI Understands People Over Time
(20:45) Could AI Be Better at Talking Than We Are?
(23:03) Why AI Therapy Isn’t as Crazy as It Sounds
(24:40) The Art of Listening and Speaking
(28:33) How Quinn Practices Communication in Life and Work
(30:41) The Meaning Behind the Tavus Brand
(33:29) Tech, Storytelling, and Soul
(35:27) UX Gaps and Human Expectations
(36:43) Tavus in Context: Not Just Avatars
(38:23) What an AI-Powered Future Might Look Like
(40:04) Balancing Tech and Humanity
(41:19) Quinn’s “Why”
(44:54) Where to Connect


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by Quinn Favret, co-founder and COO of Tavus, to explore how digital humans are reshaping communication across industries.</p><p>Quinn shares how Tavus is building AI agents that can engage in real-time, emotionally intelligent conversations—complete with facial expressions, dynamic tone, and personalized responses. The goal isn’t just automation. Its presence. And Quinn believes AI might actually help humans connect more deeply, not less.</p><p>They dig into how Tavus trains its models, where conversational AI is already creating real impact, and what it takes to design an experience that feels human, without trying to be one.</p><p>Also in this episode:</p><p>	•	Why the uncanny valley is a storytelling challenge</p><p>	•	What it means to create “brand as soul”</p><p>	•	How Tavus enables sales, HR, education, and therapy</p><p>	•	Why cultural nuance and context matter more than realism</p><p>	•	The role of AI in making communication more accessible</p><p>This is a forward-looking episode for anyone building or using AI to solve problems that rely on trust, attention, and human connection.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Intro and Quinn’s Background</p><p>(01:03) Engineering, Startups, and YC</p><p>(03:20) From ML Forecasting to AI Video</p><p>(05:08) How Tavus Got Started</p><p>(06:21) Launching During COVID</p><p>(07:28) What Tavus Actually Does Today</p><p>(09:05) Real Use Cases in Sales, Healthcare, and Media</p><p>(11:35) Developer Tools and Agentic Systems</p><p>(12:31) Building Machines That Adjust to Us</p><p>(14:39) What Makes a Conversation Feel Real</p><p>(16:46) Cultural and Contextual Communication</p><p>(17:52) How AI Understands People Over Time</p><p>(20:45) Could AI Be Better at Talking Than We Are?</p><p>(23:03) Why AI Therapy Isn’t as Crazy as It Sounds</p><p>(24:40) The Art of Listening and Speaking</p><p>(28:33) How Quinn Practices Communication in Life and Work</p><p>(30:41) The Meaning Behind the Tavus Brand</p><p>(33:29) Tech, Storytelling, and Soul</p><p>(35:27) UX Gaps and Human Expectations</p><p>(36:43) Tavus in Context: Not Just Avatars</p><p>(38:23) What an AI-Powered Future Might Look Like</p><p>(40:04) Balancing Tech and Humanity</p><p>(41:19) Quinn’s “Why”</p><p>(44:54) Where to Connect</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2810</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>The Quietest $3B Tech Company You’ve Never Heard Of</title>
      <description>This week on The AI Report, Liam Lawson sits down with Gordon Wintrob, co-founder and CTO of Newfront, to talk about bringing AI into one of the slowest-moving industries: insurance.
Gordon shares how Newfront is redesigning the broker experience with automation and AI—from parsing 200-page policies in seconds to helping HR teams save weeks of work. They discuss building AI tools that clients actually trust, how to manage risk in regulated industries, and why embedding AI into company culture matters as much as the code.
Also in this episode:
	•	Why insurance is one of the last big frontiers for tech
	•	What makes a good AI use case in complex workflows
	•	The story behind Benji, Newfront’s internal AI assistant
	•	How to foster internal adoption from hiring to hackathons
	•	What regulation and SOC 2 mean for AI innovation
This is a real look at what happens when AI goes beyond chatbots and into core business infrastructure.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Reimagining the Insurance Stack
(01:06) Why Insurance Feels So Behind
(02:41) How Brokers Work and Where AI Fits
(05:08) Founding Newfront With Future Tech in Mind
(06:59) Automating Contract Review at Scale
(08:49) Working With Startups and Industry Giants
(10:19) What It’s Like Serving Diverse Client Profiles
(12:17) Making Room for Value-Add Conversations
(13:28) Key AI Tools: Benji, Gap Analysis, and More
(15:29) Why Products Succeed or Fail in Legacy Fields
(16:39) Creating a Culture of Technical Curiosity
(18:25) From Engineering to Recruiting: AI in the Org
(19:30) Equity, Values, and Ownership at Scale
(21:50) What Keeps Traditional Brokerages Behind
(23:43) AI as a Signal of Operator Leverage
(25:22) Who Newfront Builds For
(25:56) Staying Compliant While Moving Fast
(28:39) Managing Data Risk in a Privacy-Critical Industry
(29:01) Vendor Security and SOC 2 in AI Development
(30:25) Expanding AI Beyond the Frontend
(31:58) CTO Strategy and Time Allocation
(32:54) Staying Up-to-Date in a Fast-Shifting Landscape
(34:42) Building With Purpose in a Legacy System
(36:11) Connect With Gordon


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 27 Jun 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>48</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1227346e-34de-11f1-8875-f73c6d691f13/image/cda39198ba831609f8d58211c1dd9eb3.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson sits down with Gordon Wintrob, co-founder and CTO of Newfront, to talk about bringing AI into one of the slowest-moving industries: insurance.
Gordon shares how Newfront is redesigning the broker experience with automation and AI—from parsing 200-page policies in seconds to helping HR teams save weeks of work. They discuss building AI tools that clients actually trust, how to manage risk in regulated industries, and why embedding AI into company culture matters as much as the code.
Also in this episode:
	•	Why insurance is one of the last big frontiers for tech
	•	What makes a good AI use case in complex workflows
	•	The story behind Benji, Newfront’s internal AI assistant
	•	How to foster internal adoption from hiring to hackathons
	•	What regulation and SOC 2 mean for AI innovation
This is a real look at what happens when AI goes beyond chatbots and into core business infrastructure.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Reimagining the Insurance Stack
(01:06) Why Insurance Feels So Behind
(02:41) How Brokers Work and Where AI Fits
(05:08) Founding Newfront With Future Tech in Mind
(06:59) Automating Contract Review at Scale
(08:49) Working With Startups and Industry Giants
(10:19) What It’s Like Serving Diverse Client Profiles
(12:17) Making Room for Value-Add Conversations
(13:28) Key AI Tools: Benji, Gap Analysis, and More
(15:29) Why Products Succeed or Fail in Legacy Fields
(16:39) Creating a Culture of Technical Curiosity
(18:25) From Engineering to Recruiting: AI in the Org
(19:30) Equity, Values, and Ownership at Scale
(21:50) What Keeps Traditional Brokerages Behind
(23:43) AI as a Signal of Operator Leverage
(25:22) Who Newfront Builds For
(25:56) Staying Compliant While Moving Fast
(28:39) Managing Data Risk in a Privacy-Critical Industry
(29:01) Vendor Security and SOC 2 in AI Development
(30:25) Expanding AI Beyond the Frontend
(31:58) CTO Strategy and Time Allocation
(32:54) Staying Up-to-Date in a Fast-Shifting Landscape
(34:42) Building With Purpose in a Legacy System
(36:11) Connect With Gordon


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson sits down with Gordon Wintrob, co-founder and CTO of Newfront, to talk about bringing AI into one of the slowest-moving industries: insurance.</p><p>Gordon shares how Newfront is redesigning the broker experience with automation and AI—from parsing 200-page policies in seconds to helping HR teams save weeks of work. They discuss building AI tools that clients actually trust, how to manage risk in regulated industries, and why embedding AI into company culture matters as much as the code.</p><p>Also in this episode:</p><p>	•	Why insurance is one of the last big frontiers for tech</p><p>	•	What makes a good AI use case in complex workflows</p><p>	•	The story behind Benji, Newfront’s internal AI assistant</p><p>	•	How to foster internal adoption from hiring to hackathons</p><p>	•	What regulation and SOC 2 mean for AI innovation</p><p>This is a real look at what happens when AI goes beyond chatbots and into core business infrastructure.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Reimagining the Insurance Stack</p><p>(01:06) Why Insurance Feels So Behind</p><p>(02:41) How Brokers Work and Where AI Fits</p><p>(05:08) Founding Newfront With Future Tech in Mind</p><p>(06:59) Automating Contract Review at Scale</p><p>(08:49) Working With Startups and Industry Giants</p><p>(10:19) What It’s Like Serving Diverse Client Profiles</p><p>(12:17) Making Room for Value-Add Conversations</p><p>(13:28) Key AI Tools: Benji, Gap Analysis, and More</p><p>(15:29) Why Products Succeed or Fail in Legacy Fields</p><p>(16:39) Creating a Culture of Technical Curiosity</p><p>(18:25) From Engineering to Recruiting: AI in the Org</p><p>(19:30) Equity, Values, and Ownership at Scale</p><p>(21:50) What Keeps Traditional Brokerages Behind</p><p>(23:43) AI as a Signal of Operator Leverage</p><p>(25:22) Who Newfront Builds For</p><p>(25:56) Staying Compliant While Moving Fast</p><p>(28:39) Managing Data Risk in a Privacy-Critical Industry</p><p>(29:01) Vendor Security and SOC 2 in AI Development</p><p>(30:25) Expanding AI Beyond the Frontend</p><p>(31:58) CTO Strategy and Time Allocation</p><p>(32:54) Staying Up-to-Date in a Fast-Shifting Landscape</p><p>(34:42) Building With Purpose in a Legacy System</p><p>(36:11) Connect With Gordon</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2269</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>The Most Overlooked Business Model on the Internet</title>
      <description>On this episode of The AI Report, Liam Lawson is joined by Frey Chu—a directory builder, SEO educator, and creator focused on building long-term, high-leverage digital assets.
Frey shares how he builds directories that actually work, why so many fail to get traction, and how to combine AI workflows, structured data, and strong SEO fundamentals to make evergreen content that ranks and converts.
They discuss the real art of choosing a niche, when to enrich data manually vs programmatically, and why directories—when done right—are still one of the best internet business models available.
Also in this episode:
	•	What separates real directories from content farms
	•	How to validate a niche with Reddit and Ahrefs
	•	Why LLMs are forcing a rethink of “content quality”
	•	The pros and cons of exact-match domains
	•	Frey’s thoughts on time freedom, creative control, and building slow on purpose
If you’ve ever wanted to build a niche site, test an idea, or launch a project that runs without you, Frey’s approach will give you a grounded, tactical blueprint.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) What Makes a Directory Valuable
(01:06) Ranking Local Queries With SEO
(02:34) The Difference Between Lists and Real Directories
(04:32) Why “Directory of Directories” Doesn’t Work
(05:36) Finding Balance Between SEO and Passion
(07:55) Evergreen Niches That Print Cashflow
(10:05) Reviewing His Portfolio: Hits and Experiments
(11:15) Why Directories Are Still Relevant
(12:19) LLMs and the Future of Structured Data
(13:38) Monetize First or Learn First?
(15:11) Validating Demand Without Guesswork
(16:35) Data Enrichment Strategies That Work
(17:54) Choosing the Right Stack for Directory Projects
(18:57) Quality Markers That Matter in 2025
(20:00) High-Consequence Niches With Real Need
(21:43) Feedback Loops and Iterating in Public
(23:03) Do Domains Still Influence Trust and Ranking?
(24:12) Frey’s Monetization Framework
(25:19) Getting Ready for the Next Phase of LLM SEO
(27:50) How Frey Keeps Learning and Evolving
(29:04) The People and Projects He’s Studying
(30:10) The Multi-Skill Nature of Directory Projects
(31:54) Long-Term Goals: SaaS, Marketplaces, and Time Freedom
(33:44) Why He’s Teaching Now
(35:52) Where to Find and Follow Frey


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 20 Jun 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>47</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/129fe666-34de-11f1-8875-6b7573a74552/image/bc0ee2ecab1f7b72422aafc63c87c1e5.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this episode of The AI Report, Liam Lawson is joined by Frey Chu—a directory builder, SEO educator, and creator focused on building long-term, high-leverage digital assets.
Frey shares how he builds directories that actually work, why so many fail to get traction, and how to combine AI workflows, structured data, and strong SEO fundamentals to make evergreen content that ranks and converts.
They discuss the real art of choosing a niche, when to enrich data manually vs programmatically, and why directories—when done right—are still one of the best internet business models available.
Also in this episode:
	•	What separates real directories from content farms
	•	How to validate a niche with Reddit and Ahrefs
	•	Why LLMs are forcing a rethink of “content quality”
	•	The pros and cons of exact-match domains
	•	Frey’s thoughts on time freedom, creative control, and building slow on purpose
If you’ve ever wanted to build a niche site, test an idea, or launch a project that runs without you, Frey’s approach will give you a grounded, tactical blueprint.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) What Makes a Directory Valuable
(01:06) Ranking Local Queries With SEO
(02:34) The Difference Between Lists and Real Directories
(04:32) Why “Directory of Directories” Doesn’t Work
(05:36) Finding Balance Between SEO and Passion
(07:55) Evergreen Niches That Print Cashflow
(10:05) Reviewing His Portfolio: Hits and Experiments
(11:15) Why Directories Are Still Relevant
(12:19) LLMs and the Future of Structured Data
(13:38) Monetize First or Learn First?
(15:11) Validating Demand Without Guesswork
(16:35) Data Enrichment Strategies That Work
(17:54) Choosing the Right Stack for Directory Projects
(18:57) Quality Markers That Matter in 2025
(20:00) High-Consequence Niches With Real Need
(21:43) Feedback Loops and Iterating in Public
(23:03) Do Domains Still Influence Trust and Ranking?
(24:12) Frey’s Monetization Framework
(25:19) Getting Ready for the Next Phase of LLM SEO
(27:50) How Frey Keeps Learning and Evolving
(29:04) The People and Projects He’s Studying
(30:10) The Multi-Skill Nature of Directory Projects
(31:54) Long-Term Goals: SaaS, Marketplaces, and Time Freedom
(33:44) Why He’s Teaching Now
(35:52) Where to Find and Follow Frey


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this episode of The AI Report, Liam Lawson is joined by Frey Chu—a directory builder, SEO educator, and creator focused on building long-term, high-leverage digital assets.</p><p>Frey shares how he builds directories that actually work, why so many fail to get traction, and how to combine AI workflows, structured data, and strong SEO fundamentals to make evergreen content that ranks and converts.</p><p>They discuss the real art of choosing a niche, when to enrich data manually vs programmatically, and why directories—when done right—are still one of the best internet business models available.</p><p>Also in this episode:</p><p>	•	What separates real directories from content farms</p><p>	•	How to validate a niche with Reddit and Ahrefs</p><p>	•	Why LLMs are forcing a rethink of “content quality”</p><p>	•	The pros and cons of exact-match domains</p><p>	•	Frey’s thoughts on time freedom, creative control, and building slow on purpose</p><p>If you’ve ever wanted to build a niche site, test an idea, or launch a project that runs without you, Frey’s approach will give you a grounded, tactical blueprint.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) What Makes a Directory Valuable</p><p>(01:06) Ranking Local Queries With SEO</p><p>(02:34) The Difference Between Lists and Real Directories</p><p>(04:32) Why “Directory of Directories” Doesn’t Work</p><p>(05:36) Finding Balance Between SEO and Passion</p><p>(07:55) Evergreen Niches That Print Cashflow</p><p>(10:05) Reviewing His Portfolio: Hits and Experiments</p><p>(11:15) Why Directories Are Still Relevant</p><p>(12:19) LLMs and the Future of Structured Data</p><p>(13:38) Monetize First or Learn First?</p><p>(15:11) Validating Demand Without Guesswork</p><p>(16:35) Data Enrichment Strategies That Work</p><p>(17:54) Choosing the Right Stack for Directory Projects</p><p>(18:57) Quality Markers That Matter in 2025</p><p>(20:00) High-Consequence Niches With Real Need</p><p>(21:43) Feedback Loops and Iterating in Public</p><p>(23:03) Do Domains Still Influence Trust and Ranking?</p><p>(24:12) Frey’s Monetization Framework</p><p>(25:19) Getting Ready for the Next Phase of LLM SEO</p><p>(27:50) How Frey Keeps Learning and Evolving</p><p>(29:04) The People and Projects He’s Studying</p><p>(30:10) The Multi-Skill Nature of Directory Projects</p><p>(31:54) Long-Term Goals: SaaS, Marketplaces, and Time Freedom</p><p>(33:44) Why He’s Teaching Now</p><p>(35:52) Where to Find and Follow Frey</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2279</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5571c8f2-76ff-4a3c-be12-4efcb8dda758]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7656632713.mp3?updated=1776341770" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Product-Market Fit Still Matters—Even in 2025</title>
      <description>This week on The AI Report, Liam Lawson is joined by Peter, a startup coach and product strategist who’s helped dozens of early-stage founders avoid one of the most costly mistakes in tech: building before validating.
Peter explains why most startup ideas fail not because the tech doesn’t work, but because there’s no real demand. He shares the “sandwich method” he uses to get honest, useful feedback in discovery calls, and how founders can avoid building in a vacuum.
They also explore the role AI is starting to play in validation workflows—and why it can’t replace true customer insight.
Also in this episode:
	•	Why product-market fit is not a feeling
	•	How to structure conversations to get real signal
	•	The biggest lies founders tell themselves during early validation
	•	How to use AI tools in discovery without getting misled
	•	Why humility might be the most valuable founder skill
If you’re building anything new—especially in AI or SaaS—this episode is a sharp, tactical reset.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Misunderstanding Product Validation
(01:15) Who Peter Works With and Why
(03:40) The Sandwich Method for Better Discovery
(06:05) What He Learned From YC and Startup #1
(08:12) Founders as Pattern Matchers
(10:33) Detecting and Avoiding Bias
(13:00) Identifying Real Market Demand
(15:18) The Feature Fallacy
(17:50) AI Tools vs Product Necessity
(19:36) Where AI Can (and Can’t) Help
(21:44) Advice for Founders on Day Zero
(23:50) Why Peter Keeps Coaching
(26:04) Where to Find Him


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 06 Jun 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>46</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/133022e4-34de-11f1-8875-971285ba9e8d/image/00d134bef25d4d43355a020f05d74370.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Peter, a startup coach and product strategist who’s helped dozens of early-stage founders avoid one of the most costly mistakes in tech: building before validating.
Peter explains why most startup ideas fail not because the tech doesn’t work, but because there’s no real demand. He shares the “sandwich method” he uses to get honest, useful feedback in discovery calls, and how founders can avoid building in a vacuum.
They also explore the role AI is starting to play in validation workflows—and why it can’t replace true customer insight.
Also in this episode:
	•	Why product-market fit is not a feeling
	•	How to structure conversations to get real signal
	•	The biggest lies founders tell themselves during early validation
	•	How to use AI tools in discovery without getting misled
	•	Why humility might be the most valuable founder skill
If you’re building anything new—especially in AI or SaaS—this episode is a sharp, tactical reset.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Misunderstanding Product Validation
(01:15) Who Peter Works With and Why
(03:40) The Sandwich Method for Better Discovery
(06:05) What He Learned From YC and Startup #1
(08:12) Founders as Pattern Matchers
(10:33) Detecting and Avoiding Bias
(13:00) Identifying Real Market Demand
(15:18) The Feature Fallacy
(17:50) AI Tools vs Product Necessity
(19:36) Where AI Can (and Can’t) Help
(21:44) Advice for Founders on Day Zero
(23:50) Why Peter Keeps Coaching
(26:04) Where to Find Him


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by Peter, a startup coach and product strategist who’s helped dozens of early-stage founders avoid one of the most costly mistakes in tech: building before validating.</p><p>Peter explains why most startup ideas fail not because the tech doesn’t work, but because there’s no real demand. He shares the “sandwich method” he uses to get honest, useful feedback in discovery calls, and how founders can avoid building in a vacuum.</p><p>They also explore the role AI is starting to play in validation workflows—and why it can’t replace true customer insight.</p><p>Also in this episode:</p><p>	•	Why product-market fit is not a feeling</p><p>	•	How to structure conversations to get real signal</p><p>	•	The biggest lies founders tell themselves during early validation</p><p>	•	How to use AI tools in discovery without getting misled</p><p>	•	Why humility might be the most valuable founder skill</p><p>If you’re building anything new—especially in AI or SaaS—this episode is a sharp, tactical reset.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Misunderstanding Product Validation</p><p>(01:15) Who Peter Works With and Why</p><p>(03:40) The Sandwich Method for Better Discovery</p><p>(06:05) What He Learned From YC and Startup #1</p><p>(08:12) Founders as Pattern Matchers</p><p>(10:33) Detecting and Avoiding Bias</p><p>(13:00) Identifying Real Market Demand</p><p>(15:18) The Feature Fallacy</p><p>(17:50) AI Tools vs Product Necessity</p><p>(19:36) Where AI Can (and Can’t) Help</p><p>(21:44) Advice for Founders on Day Zero</p><p>(23:50) Why Peter Keeps Coaching</p><p>(26:04) Where to Find Him</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2808</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>The CEO Who Called Us Out—And Might Be Right About AI Content</title>
      <description>This week on The AI Report, Liam Lawson talks with Nick Jain, former IdeaScale CEO and founder of Content Hurricane, about how he used AI to completely replace traditional marketing and scale his funnel 50x.
Nick shares how a $25 AI agent outperformed his in-house team, created content that outranked McKinsey on Google, and helped him build one of the most efficient B2B funnels in SaaS. He breaks down how he did it, why most marketers are missing the shift, and what the future looks like when AI runs most of your company’s creative output.
Also in this episode:
	•	Building a 90% AI-powered inbound funnel
	•	Why content teams will be replaced, not reskilled
	•	The new role of product managers in an AI-led org
	•	How Content Hurricane scales enterprise-quality assets with no human input
	•	The future of education, work, and intellectual leverage
This is not a “how to write prompts” episode. It’s a front-row view into what happens when a founder goes all in on AI and doesn’t look back.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why Content Marketing Is On Its Way Out
(01:14) A $25 Agent vs a Whole Marketing Team
(02:26) Nick’s Moment of Clarity in Amsterdam
(03:28) Scaling Content With ChatGPT in 30 Minutes
(05:21) Running Mandatory AI Training at IdeaScale
(06:45) Who Actually Adopted the Tech
(08:17) From Harvard MBA to Startup CEO
(09:00) Inside a 90% Automated Marketing Funnel
(10:00) What Good Content Actually Means for SEO
(12:31) Why Algorithms Are Not the Point
(14:13) Tracking True ROI Across All Content
(16:13) The Channels That Still Work
(17:08) Nick’s Favorite Prompt Strategy
(18:34) The End of the Content Marketing Role
(20:21) CEO Ethics in the AI Age
(22:04) Why Sales and Product Still Matter
(24:03) The Future of Product Management
(25:31) Why Generalists Have the Edge Now
(27:05) What Happens to Traditional Education
(28:10) The Chips Are Coming: Post-Human Thinking
(30:13) How Content Hurricane Operates
(32:01) Awareness to Action With AI
(33:36) The Simplicity Advantage in UX
(35:09) Prompting for Depth, Not Generic Output
(36:03) Product With Purpose
(36:22) Massive Growth Metrics From the Funnel
(38:12) Why Nick Keeps Building
(39:05) How to Connect With Him

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 30 May 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>45</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/13b88a4e-34de-11f1-8875-cbde6099bc17/image/68b2fead39e438d47ee7ee7e2b21a320.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson talks with Nick Jain, former IdeaScale CEO and founder of Content Hurricane, about how he used AI to completely replace traditional marketing and scale his funnel 50x.
Nick shares how a $25 AI agent outperformed his in-house team, created content that outranked McKinsey on Google, and helped him build one of the most efficient B2B funnels in SaaS. He breaks down how he did it, why most marketers are missing the shift, and what the future looks like when AI runs most of your company’s creative output.
Also in this episode:
	•	Building a 90% AI-powered inbound funnel
	•	Why content teams will be replaced, not reskilled
	•	The new role of product managers in an AI-led org
	•	How Content Hurricane scales enterprise-quality assets with no human input
	•	The future of education, work, and intellectual leverage
This is not a “how to write prompts” episode. It’s a front-row view into what happens when a founder goes all in on AI and doesn’t look back.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why Content Marketing Is On Its Way Out
(01:14) A $25 Agent vs a Whole Marketing Team
(02:26) Nick’s Moment of Clarity in Amsterdam
(03:28) Scaling Content With ChatGPT in 30 Minutes
(05:21) Running Mandatory AI Training at IdeaScale
(06:45) Who Actually Adopted the Tech
(08:17) From Harvard MBA to Startup CEO
(09:00) Inside a 90% Automated Marketing Funnel
(10:00) What Good Content Actually Means for SEO
(12:31) Why Algorithms Are Not the Point
(14:13) Tracking True ROI Across All Content
(16:13) The Channels That Still Work
(17:08) Nick’s Favorite Prompt Strategy
(18:34) The End of the Content Marketing Role
(20:21) CEO Ethics in the AI Age
(22:04) Why Sales and Product Still Matter
(24:03) The Future of Product Management
(25:31) Why Generalists Have the Edge Now
(27:05) What Happens to Traditional Education
(28:10) The Chips Are Coming: Post-Human Thinking
(30:13) How Content Hurricane Operates
(32:01) Awareness to Action With AI
(33:36) The Simplicity Advantage in UX
(35:09) Prompting for Depth, Not Generic Output
(36:03) Product With Purpose
(36:22) Massive Growth Metrics From the Funnel
(38:12) Why Nick Keeps Building
(39:05) How to Connect With Him

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson talks with Nick Jain, former IdeaScale CEO and founder of Content Hurricane, about how he used AI to completely replace traditional marketing and scale his funnel 50x.</p><p>Nick shares how a $25 AI agent outperformed his in-house team, created content that outranked McKinsey on Google, and helped him build one of the most efficient B2B funnels in SaaS. He breaks down how he did it, why most marketers are missing the shift, and what the future looks like when AI runs most of your company’s creative output.</p><p>Also in this episode:</p><p>	•	Building a 90% AI-powered inbound funnel</p><p>	•	Why content teams will be replaced, not reskilled</p><p>	•	The new role of product managers in an AI-led org</p><p>	•	How Content Hurricane scales enterprise-quality assets with no human input</p><p>	•	The future of education, work, and intellectual leverage</p><p>This is not a “how to write prompts” episode. It’s a front-row view into what happens when a founder goes all in on AI and doesn’t look back.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Why Content Marketing Is On Its Way Out</p><p>(01:14) A $25 Agent vs a Whole Marketing Team</p><p>(02:26) Nick’s Moment of Clarity in Amsterdam</p><p>(03:28) Scaling Content With ChatGPT in 30 Minutes</p><p>(05:21) Running Mandatory AI Training at IdeaScale</p><p>(06:45) Who Actually Adopted the Tech</p><p>(08:17) From Harvard MBA to Startup CEO</p><p>(09:00) Inside a 90% Automated Marketing Funnel</p><p>(10:00) What Good Content Actually Means for SEO</p><p>(12:31) Why Algorithms Are Not the Point</p><p>(14:13) Tracking True ROI Across All Content</p><p>(16:13) The Channels That Still Work</p><p>(17:08) Nick’s Favorite Prompt Strategy</p><p>(18:34) The End of the Content Marketing Role</p><p>(20:21) CEO Ethics in the AI Age</p><p>(22:04) Why Sales and Product Still Matter</p><p>(24:03) The Future of Product Management</p><p>(25:31) Why Generalists Have the Edge Now</p><p>(27:05) What Happens to Traditional Education</p><p>(28:10) The Chips Are Coming: Post-Human Thinking</p><p>(30:13) How Content Hurricane Operates</p><p>(32:01) Awareness to Action With AI</p><p>(33:36) The Simplicity Advantage in UX</p><p>(35:09) Prompting for Depth, Not Generic Output</p><p>(36:03) Product With Purpose</p><p>(36:22) Massive Growth Metrics From the Funnel</p><p>(38:12) Why Nick Keeps Building</p><p>(39:05) How to Connect With Him</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2447</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>How to Monetize Your 9–5 Experience Without Quitting Your Job</title>
      <description>This week on The AI Report, Liam Lawson is joined by Lindsay Rosenthal, founder of Synnc and one of the leading voices in the B2B creator economy. Lindsay shares how she went from building a presence on LinkedIn to launching a software platform that connects brands and professionals for high-leverage collaborations.
She breaks down what’s changing in B2B marketing, why creators are becoming critical distribution channels, and how she built and shipped a product without a technical background, leveraging AI tools to move faster and execute smarter.
Also in this episode:
	•	The rise of B2B creators and micro-influencers
	•	How Synnc uses AI to match brands and creators
	•	Why a personal brand is now part of your resume
	•	The challenge of balancing content, consulting, and product building
	•	What it really takes to launch a product with limited resources
If you’re trying to grow on LinkedIn, launch a tool, or find smarter ways to work with AI, this conversation is full of sharp insights from someone doing all three at once.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why Community is Career Insurance
(01:04) AI Meets LinkedIn: What’s Happening Now
(02:10) B2B Creators Are the New Growth Engine
(03:20) Personal Brand as a Strategic Asset
(04:36) Imperfect Content Beats AI-Polished Posts
(06:13) The Real Voice of B2B: Messy and Human
(07:47) What Synnc Actually Does
(09:00) How Brands and Creators Use the Platform
(11:09) AI Workflow Automation Behind the Scenes
(13:14) Why Creator Rates Are Climbing in B2B
(14:21) Big Value From Small Audiences
(16:20) Winning With Focused Distribution, Not Virality
(17:05) Collabs, Testimonials, and Fractional Roles
(18:17) Building and Shipping Without a Tech Background
(19:31) The Realities of Building in Public
(21:05) Why Speed and Timing Matter Most
(22:12) Lindsay’s Origin Story and Customer Zero
(24:03) From Student Podcast to Software Startup
(25:57) Spotting Trends and Building Early
(28:02) Why Non-Technical Founders Are Winning Now
(29:08) Using AI for Product Design and Dev Work
(31:07) AI-Powered Matching and Briefing
(32:48) Reducing Friction With Smarter Systems
(34:03) How Lindsay Balances Multiple Lanes
(35:15) Tools, Systems, and Mental Clarity
(36:07) The Value of Doing More to Think Better
(37:07) Synnc’s Next Moves
(39:04) What She’s Working on Behind the Curtain
(41:12) How to Connect With Lindsay and Try Synnc

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 23 May 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>44</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1430d404-34de-11f1-8875-bf38f53153c7/image/4d3bc3c5bfdb619a4fc6ed716d245beb.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Lindsay Rosenthal, founder of Synnc and one of the leading voices in the B2B creator economy. Lindsay shares how she went from building a presence on LinkedIn to launching a software platform that connects brands and professionals for high-leverage collaborations.
She breaks down what’s changing in B2B marketing, why creators are becoming critical distribution channels, and how she built and shipped a product without a technical background, leveraging AI tools to move faster and execute smarter.
Also in this episode:
	•	The rise of B2B creators and micro-influencers
	•	How Synnc uses AI to match brands and creators
	•	Why a personal brand is now part of your resume
	•	The challenge of balancing content, consulting, and product building
	•	What it really takes to launch a product with limited resources
If you’re trying to grow on LinkedIn, launch a tool, or find smarter ways to work with AI, this conversation is full of sharp insights from someone doing all three at once.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why Community is Career Insurance
(01:04) AI Meets LinkedIn: What’s Happening Now
(02:10) B2B Creators Are the New Growth Engine
(03:20) Personal Brand as a Strategic Asset
(04:36) Imperfect Content Beats AI-Polished Posts
(06:13) The Real Voice of B2B: Messy and Human
(07:47) What Synnc Actually Does
(09:00) How Brands and Creators Use the Platform
(11:09) AI Workflow Automation Behind the Scenes
(13:14) Why Creator Rates Are Climbing in B2B
(14:21) Big Value From Small Audiences
(16:20) Winning With Focused Distribution, Not Virality
(17:05) Collabs, Testimonials, and Fractional Roles
(18:17) Building and Shipping Without a Tech Background
(19:31) The Realities of Building in Public
(21:05) Why Speed and Timing Matter Most
(22:12) Lindsay’s Origin Story and Customer Zero
(24:03) From Student Podcast to Software Startup
(25:57) Spotting Trends and Building Early
(28:02) Why Non-Technical Founders Are Winning Now
(29:08) Using AI for Product Design and Dev Work
(31:07) AI-Powered Matching and Briefing
(32:48) Reducing Friction With Smarter Systems
(34:03) How Lindsay Balances Multiple Lanes
(35:15) Tools, Systems, and Mental Clarity
(36:07) The Value of Doing More to Think Better
(37:07) Synnc’s Next Moves
(39:04) What She’s Working on Behind the Curtain
(41:12) How to Connect With Lindsay and Try Synnc

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by Lindsay Rosenthal, founder of Synnc and one of the leading voices in the B2B creator economy. Lindsay shares how she went from building a presence on LinkedIn to launching a software platform that connects brands and professionals for high-leverage collaborations.</p><p>She breaks down what’s changing in B2B marketing, why creators are becoming critical distribution channels, and how she built and shipped a product without a technical background, leveraging AI tools to move faster and execute smarter.</p><p>Also in this episode:</p><p>	•	The rise of B2B creators and micro-influencers</p><p>	•	How Synnc uses AI to match brands and creators</p><p>	•	Why a personal brand is now part of your resume</p><p>	•	The challenge of balancing content, consulting, and product building</p><p>	•	What it really takes to launch a product with limited resources</p><p>If you’re trying to grow on LinkedIn, launch a tool, or find smarter ways to work with AI, this conversation is full of sharp insights from someone doing all three at once.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Why Community is Career Insurance</p><p>(01:04) AI Meets LinkedIn: What’s Happening Now</p><p>(02:10) B2B Creators Are the New Growth Engine</p><p>(03:20) Personal Brand as a Strategic Asset</p><p>(04:36) Imperfect Content Beats AI-Polished Posts</p><p>(06:13) The Real Voice of B2B: Messy and Human</p><p>(07:47) What Synnc Actually Does</p><p>(09:00) How Brands and Creators Use the Platform</p><p>(11:09) AI Workflow Automation Behind the Scenes</p><p>(13:14) Why Creator Rates Are Climbing in B2B</p><p>(14:21) Big Value From Small Audiences</p><p>(16:20) Winning With Focused Distribution, Not Virality</p><p>(17:05) Collabs, Testimonials, and Fractional Roles</p><p>(18:17) Building and Shipping Without a Tech Background</p><p>(19:31) The Realities of Building in Public</p><p>(21:05) Why Speed and Timing Matter Most</p><p>(22:12) Lindsay’s Origin Story and Customer Zero</p><p>(24:03) From Student Podcast to Software Startup</p><p>(25:57) Spotting Trends and Building Early</p><p>(28:02) Why Non-Technical Founders Are Winning Now</p><p>(29:08) Using AI for Product Design and Dev Work</p><p>(31:07) AI-Powered Matching and Briefing</p><p>(32:48) Reducing Friction With Smarter Systems</p><p>(34:03) How Lindsay Balances Multiple Lanes</p><p>(35:15) Tools, Systems, and Mental Clarity</p><p>(36:07) The Value of Doing More to Think Better</p><p>(37:07) Synnc’s Next Moves</p><p>(39:04) What She’s Working on Behind the Curtain</p><p>(41:12) How to Connect With Lindsay and Try Synnc</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2571</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG2845020937.mp3?updated=1776341923" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>You Don’t Need 10 Tools | Just Use ChatGPT Like This</title>
      <description>This week on The AI Report, Liam Lawson sits down with Celeste Yamile, a personal brand strategist who went from selling Fiverr gigs to building a six-figure business, powered by AI and a loyal LinkedIn audience of 20,000+.
Celeste breaks down how she bootstrapped her business using content, systems, and ChatGPT. She shares why most creators fail to connect, how she builds content with her own voice, and how storytelling and structure helped her grow faster than she imagined.
We dive into her actual workflow, her AI stack, and the mindset shifts that helped her turn monetizable knowledge into a real income engine.
Also in this episode:
	•	Her transition from teaching English to coaching creators
	•	Why ChatGPT still beats Gemini and Claude for her content process
	•	What most creators get wrong about authenticity
	•	How she helps clients build their first digital product
	•	The story behind matching her dad’s 25-year salary with content and coaching
This is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why “How I” Beats “How To”
(01:19) From Mexico to the World: Learning Online at 15
(03:20) Making Money With Tutorials and Fiverr
(06:01) Building a Foundation With YouTube
(08:07) The Daily Habit of Taking Action
(09:20) LinkedIn vs TikTok: Building with Intention
(11:17) The Truth About Good Content
(12:10) How Posting Three Times a Week Changed Her Life
(13:13) Studying Top Creators With Clio
(14:00) A/B Testing Frameworks for Better Results
(16:02) Growing From 300 to 86,000 Impressions
(17:02) Storytelling as the Ultimate Growth Lever
(18:17) Her Daily ChatGPT Workflow
(20:18) Batching Content to Beat Creative Burnout
(22:09) Custom GPTs That Sound Like You
(24:01) You Don’t Need to Sound Like AI—Just Sound Better
(26:03) Building a High-Ticket Coaching Offer
(28:11) Picking the Right Clients
(30:03) Action &gt; Information
(33:14) “Buy Back Your Time” by Delegating Right
(35:00) Hiring Your First Assistant
(36:27) Scaling Toward In-Person Community
(37:27) From Corporate Salary to Creator Income
(39:01) Why She Wants to Help Others Be Seen

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 16 May 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>43</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1498eb7a-34de-11f1-8875-b33a95688fed/image/70bf63c7975330e90b1bb104efde51b6.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson sits down with Celeste Yamile, a personal brand strategist who went from selling Fiverr gigs to building a six-figure business, powered by AI and a loyal LinkedIn audience of 20,000+.
Celeste breaks down how she bootstrapped her business using content, systems, and ChatGPT. She shares why most creators fail to connect, how she builds content with her own voice, and how storytelling and structure helped her grow faster than she imagined.
We dive into her actual workflow, her AI stack, and the mindset shifts that helped her turn monetizable knowledge into a real income engine.
Also in this episode:
	•	Her transition from teaching English to coaching creators
	•	Why ChatGPT still beats Gemini and Claude for her content process
	•	What most creators get wrong about authenticity
	•	How she helps clients build their first digital product
	•	The story behind matching her dad’s 25-year salary with content and coaching
This is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why “How I” Beats “How To”
(01:19) From Mexico to the World: Learning Online at 15
(03:20) Making Money With Tutorials and Fiverr
(06:01) Building a Foundation With YouTube
(08:07) The Daily Habit of Taking Action
(09:20) LinkedIn vs TikTok: Building with Intention
(11:17) The Truth About Good Content
(12:10) How Posting Three Times a Week Changed Her Life
(13:13) Studying Top Creators With Clio
(14:00) A/B Testing Frameworks for Better Results
(16:02) Growing From 300 to 86,000 Impressions
(17:02) Storytelling as the Ultimate Growth Lever
(18:17) Her Daily ChatGPT Workflow
(20:18) Batching Content to Beat Creative Burnout
(22:09) Custom GPTs That Sound Like You
(24:01) You Don’t Need to Sound Like AI—Just Sound Better
(26:03) Building a High-Ticket Coaching Offer
(28:11) Picking the Right Clients
(30:03) Action &gt; Information
(33:14) “Buy Back Your Time” by Delegating Right
(35:00) Hiring Your First Assistant
(36:27) Scaling Toward In-Person Community
(37:27) From Corporate Salary to Creator Income
(39:01) Why She Wants to Help Others Be Seen

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson sits down with Celeste Yamile, a personal brand strategist who went from selling Fiverr gigs to building a six-figure business, powered by AI and a loyal LinkedIn audience of 20,000+.</p><p>Celeste breaks down how she bootstrapped her business using content, systems, and ChatGPT. She shares why most creators fail to connect, how she builds content with her own voice, and how storytelling and structure helped her grow faster than she imagined.</p><p>We dive into her actual workflow, her AI stack, and the mindset shifts that helped her turn monetizable knowledge into a real income engine.</p><p>Also in this episode:</p><p>	•	Her transition from teaching English to coaching creators</p><p>	•	Why ChatGPT still beats Gemini and Claude for her content process</p><p>	•	What most creators get wrong about authenticity</p><p>	•	How she helps clients build their first digital product</p><p>	•	The story behind matching her dad’s 25-year salary with content and coaching</p><p>This is an inspiring and tactical breakdown for anyone building a business with content, community, and AI.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Why “How I” Beats “How To”</p><p>(01:19) From Mexico to the World: Learning Online at 15</p><p>(03:20) Making Money With Tutorials and Fiverr</p><p>(06:01) Building a Foundation With YouTube</p><p>(08:07) The Daily Habit of Taking Action</p><p>(09:20) LinkedIn vs TikTok: Building with Intention</p><p>(11:17) The Truth About Good Content</p><p>(12:10) How Posting Three Times a Week Changed Her Life</p><p>(13:13) Studying Top Creators With Clio</p><p>(14:00) A/B Testing Frameworks for Better Results</p><p>(16:02) Growing From 300 to 86,000 Impressions</p><p>(17:02) Storytelling as the Ultimate Growth Lever</p><p>(18:17) Her Daily ChatGPT Workflow</p><p>(20:18) Batching Content to Beat Creative Burnout</p><p>(22:09) Custom GPTs That Sound Like You</p><p>(24:01) You Don’t Need to Sound Like AI—Just Sound Better</p><p>(26:03) Building a High-Ticket Coaching Offer</p><p>(28:11) Picking the Right Clients</p><p>(30:03) Action &gt; Information</p><p>(33:14) “Buy Back Your Time” by Delegating Right</p><p>(35:00) Hiring Your First Assistant</p><p>(36:27) Scaling Toward In-Person Community</p><p>(37:27) From Corporate Salary to Creator Income</p><p>(39:01) Why She Wants to Help Others Be Seen</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2573</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG8486075311.mp3?updated=1776341998" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why Your $20 AI Agent Won’t Replace a Team</title>
      <description>This week on The AI Report, Liam Lawson is joined by Jake George, founder of Agentic Brain, to cut through the noise on AI agents.
Jake shares why most AI agent projects fail, what everyone gets wrong about automation, and why a generalist chatbot will never run your sales team. With experience training agents to act like departments complete with project management, team roles, and reasoning models,  Jake walks us through building systems that scale.
They talk about how models like o3 and o4-mini are changing the game, why prompting alone won’t get you far, and what innovative businesses are doing to stay competitive in the era of reasoning AI.
Also in this episode:

The myth of the $20 agent


Why sales automation is still mostly garbage


Building “department-level” agents from scratch


The new consulting model for AI integration


How to spot companies faking their AI credibility


Jake doesn’t sugarcoat it. He brings the hard truths and deep insights you need to integrate AI into your workflow.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) The Myth of $20 AI Employees
(02:22) Why Even Smart People Struggle With Agents
(04:02) o3, o4-mini, and the New Era of Reasoning
(06:05) What Makes an Agent Think
(07:01) Building Agents That Act Like Teams
(08:25) How Models Reshape the Agentic Brain Playbook
(10:07) Why Access to Context Beats Raw Intelligence
(12:07) Building for Specific Use Cases
(14:03) Training AI the Way You Train People
(17:11) Department-Level Agent Workflows
(18:24) AI Tools That Will and Won’t Survive
(20:12) Where AI Still Fails in High-Ticket Sales
(21:02) What Agentic Brain Offers Clients
(23:12) The Role of Context in Cold Outreach
(25:17) A New Model for AI Consulting
(27:00) Why Real Companies Don’t DIY This
(29:04) Telling Real and Fake AI Startups Apart
(32:27) Pricing Mindsets: $500 vs $5,000 Clients
(34:45) Enterprise Expectations and PM Discipline
(36:12) Claude’s Secret Advantage
(38:05) Model Flexibility and Why OpenAI Still Wins
(41:13) Balancing Cost and Accuracy
(42:11) Where to Connect With Jake

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 09 May 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>42</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1504dda8-34de-11f1-8875-e7a2552f7ea5/image/7683a5b3ffaa85d953cee5854b7c6e52.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Jake George, founder of Agentic Brain, to cut through the noise on AI agents.
Jake shares why most AI agent projects fail, what everyone gets wrong about automation, and why a generalist chatbot will never run your sales team. With experience training agents to act like departments complete with project management, team roles, and reasoning models,  Jake walks us through building systems that scale.
They talk about how models like o3 and o4-mini are changing the game, why prompting alone won’t get you far, and what innovative businesses are doing to stay competitive in the era of reasoning AI.
Also in this episode:

The myth of the $20 agent


Why sales automation is still mostly garbage


Building “department-level” agents from scratch


The new consulting model for AI integration


How to spot companies faking their AI credibility


Jake doesn’t sugarcoat it. He brings the hard truths and deep insights you need to integrate AI into your workflow.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) The Myth of $20 AI Employees
(02:22) Why Even Smart People Struggle With Agents
(04:02) o3, o4-mini, and the New Era of Reasoning
(06:05) What Makes an Agent Think
(07:01) Building Agents That Act Like Teams
(08:25) How Models Reshape the Agentic Brain Playbook
(10:07) Why Access to Context Beats Raw Intelligence
(12:07) Building for Specific Use Cases
(14:03) Training AI the Way You Train People
(17:11) Department-Level Agent Workflows
(18:24) AI Tools That Will and Won’t Survive
(20:12) Where AI Still Fails in High-Ticket Sales
(21:02) What Agentic Brain Offers Clients
(23:12) The Role of Context in Cold Outreach
(25:17) A New Model for AI Consulting
(27:00) Why Real Companies Don’t DIY This
(29:04) Telling Real and Fake AI Startups Apart
(32:27) Pricing Mindsets: $500 vs $5,000 Clients
(34:45) Enterprise Expectations and PM Discipline
(36:12) Claude’s Secret Advantage
(38:05) Model Flexibility and Why OpenAI Still Wins
(41:13) Balancing Cost and Accuracy
(42:11) Where to Connect With Jake

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on <em>The AI Report</em>, Liam Lawson is joined by Jake George, founder of Agentic Brain, to cut through the noise on AI agents.</p><p>Jake shares why most AI agent projects fail, what everyone gets wrong about automation, and why a generalist chatbot will never run your sales team. With experience training agents to act like departments complete with project management, team roles, and reasoning models,  Jake walks us through building systems that scale.</p><p>They talk about how models like o3 and o4-mini are changing the game, why prompting alone won’t get you far, and what innovative businesses are doing to stay competitive in the era of reasoning AI.</p><p>Also in this episode:</p><ul>
<li><p>The myth of the $20 agent<br></p></li>
<li><p>Why sales automation is still mostly garbage<br></p></li>
<li><p>Building “department-level” agents from scratch<br></p></li>
<li><p>The new consulting model for AI integration<br></p></li>
<li><p>How to spot companies faking their AI credibility<br></p></li>
</ul><p>Jake doesn’t sugarcoat it. He brings the hard truths and deep insights you need to integrate AI into your workflow.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) The Myth of $20 AI Employees</p><p>(02:22) Why Even Smart People Struggle With Agents</p><p>(04:02) o3, o4-mini, and the New Era of Reasoning</p><p>(06:05) What Makes an Agent Think</p><p>(07:01) Building Agents That Act Like Teams</p><p>(08:25) How Models Reshape the Agentic Brain Playbook</p><p>(10:07) Why Access to Context Beats Raw Intelligence</p><p>(12:07) Building for Specific Use Cases</p><p>(14:03) Training AI the Way You Train People</p><p>(17:11) Department-Level Agent Workflows</p><p>(18:24) AI Tools That Will and Won’t Survive</p><p>(20:12) Where AI Still Fails in High-Ticket Sales</p><p>(21:02) What Agentic Brain Offers Clients</p><p>(23:12) The Role of Context in Cold Outreach</p><p>(25:17) A New Model for AI Consulting</p><p>(27:00) Why Real Companies Don’t DIY This</p><p>(29:04) Telling Real and Fake AI Startups Apart</p><p>(32:27) Pricing Mindsets: $500 vs $5,000 Clients</p><p>(34:45) Enterprise Expectations and PM Discipline</p><p>(36:12) Claude’s Secret Advantage</p><p>(38:05) Model Flexibility and Why OpenAI Still Wins</p><p>(41:13) Balancing Cost and Accuracy</p><p>(42:11) Where to Connect With Jake</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2627</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG2000108965.mp3?updated=1776342194" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Hidden Risks of AI Mental Health Apps No One Talks About</title>
      <description>This week on The AI Report, Liam Lawson is joined by journalist Kate Farmer to discuss a growing trend in mental health: the rise of AI therapy apps.
Kate recently published an investigative piece on Wysa, Woebot, and other mental health platforms that use AI to simulate therapy conversations. In this episode, she shares what it was like to interact with these tools firsthand, what users are actually experiencing, and why many of these apps are skating a dangerous line between wellness support and clinical treatment.
They also explore how these apps bypass regulatory scrutiny, the ethical challenges of relying on AI for emotional support, and how vulnerable users, especially those waiting for real therapists, are often left with few other options.
Also in this episode:
	•	Why rule-based AI might be better than LLMs in mental health
	•	How companies use marketing language to dodge legal oversight
	•	The limits of empathy, personalization, and context in AI
	•	What’s actually happening with your health data when you use these tools
	•	Why CBT still matters and how to use these platforms safely
This is a powerful, clear-eyed look at how AI is entering spaces once reserved for humans and what this means for trust, privacy, and care.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why AI Is Not a Therapist
(01:06) Kate’s Background and Reporting Focus
(04:35) Revisiting AI Therapy Post-ChatGPT
(06:13) How Wysa Actually Works
(09:45) Empathy, Context, and Their Limits in AI
(11:13) Why Intake Matters in Mental Health
(13:39) False Personalization in Therapy Apps
(14:47) Real User Reactions to Wysa and Woebot
(16:28) When AI Becomes a Stopgap for Care
(18:05) The Case for Rule-Based CBT Tools
(22:08) AI Safety in Mental Health Tools
(27:30) Scale vs Support: The Infrastructure Gap
(29:25) Avoiding FDA Regulation with Clever Framing
(31:06) “Line Skating” and Legal Grey Zones
(34:42) The Health Data Economy Behind These Apps
(39:00) How Much Your Mental Health File Might Be Worth
(43:04) Accepting Flaws When There’s No Alternative
(44:02) CBT’s Real Strengths and Use Cases
(45:18) How to Use These Tools Without Risk

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 02 May 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>41</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/156e4874-34de-11f1-8875-6f8276018e70/image/0a40e691a0c6d6529b21c0a2d2415c97.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by journalist Kate Farmer to discuss a growing trend in mental health: the rise of AI therapy apps.
Kate recently published an investigative piece on Wysa, Woebot, and other mental health platforms that use AI to simulate therapy conversations. In this episode, she shares what it was like to interact with these tools firsthand, what users are actually experiencing, and why many of these apps are skating a dangerous line between wellness support and clinical treatment.
They also explore how these apps bypass regulatory scrutiny, the ethical challenges of relying on AI for emotional support, and how vulnerable users, especially those waiting for real therapists, are often left with few other options.
Also in this episode:
	•	Why rule-based AI might be better than LLMs in mental health
	•	How companies use marketing language to dodge legal oversight
	•	The limits of empathy, personalization, and context in AI
	•	What’s actually happening with your health data when you use these tools
	•	Why CBT still matters and how to use these platforms safely
This is a powerful, clear-eyed look at how AI is entering spaces once reserved for humans and what this means for trust, privacy, and care.
Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe
Join the community:
https://www.skool.com/the-ai-report-community/about
Chapters:
(00:00) Why AI Is Not a Therapist
(01:06) Kate’s Background and Reporting Focus
(04:35) Revisiting AI Therapy Post-ChatGPT
(06:13) How Wysa Actually Works
(09:45) Empathy, Context, and Their Limits in AI
(11:13) Why Intake Matters in Mental Health
(13:39) False Personalization in Therapy Apps
(14:47) Real User Reactions to Wysa and Woebot
(16:28) When AI Becomes a Stopgap for Care
(18:05) The Case for Rule-Based CBT Tools
(22:08) AI Safety in Mental Health Tools
(27:30) Scale vs Support: The Infrastructure Gap
(29:25) Avoiding FDA Regulation with Clever Framing
(31:06) “Line Skating” and Legal Grey Zones
(34:42) The Health Data Economy Behind These Apps
(39:00) How Much Your Mental Health File Might Be Worth
(43:04) Accepting Flaws When There’s No Alternative
(44:02) CBT’s Real Strengths and Use Cases
(45:18) How to Use These Tools Without Risk

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by journalist Kate Farmer to discuss a growing trend in mental health: the rise of AI therapy apps.</p><p>Kate recently published an investigative piece on Wysa, Woebot, and other mental health platforms that use AI to simulate therapy conversations. In this episode, she shares what it was like to interact with these tools firsthand, what users are actually experiencing, and why many of these apps are skating a dangerous line between wellness support and clinical treatment.</p><p>They also explore how these apps bypass regulatory scrutiny, the ethical challenges of relying on AI for emotional support, and how vulnerable users, especially those waiting for real therapists, are often left with few other options.</p><p>Also in this episode:</p><p>	•	Why rule-based AI might be better than LLMs in mental health</p><p>	•	How companies use marketing language to dodge legal oversight</p><p>	•	The limits of empathy, personalization, and context in AI</p><p>	•	What’s actually happening with your health data when you use these tools</p><p>	•	Why CBT still matters and how to use these platforms safely</p><p>This is a powerful, clear-eyed look at how AI is entering spaces once reserved for humans and what this means for trust, privacy, and care.</p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) Why AI Is Not a Therapist</p><p>(01:06) Kate’s Background and Reporting Focus</p><p>(04:35) Revisiting AI Therapy Post-ChatGPT</p><p>(06:13) How Wysa Actually Works</p><p>(09:45) Empathy, Context, and Their Limits in AI</p><p>(11:13) Why Intake Matters in Mental Health</p><p>(13:39) False Personalization in Therapy Apps</p><p>(14:47) Real User Reactions to Wysa and Woebot</p><p>(16:28) When AI Becomes a Stopgap for Care</p><p>(18:05) The Case for Rule-Based CBT Tools</p><p>(22:08) AI Safety in Mental Health Tools</p><p>(27:30) Scale vs Support: The Infrastructure Gap</p><p>(29:25) Avoiding FDA Regulation with Clever Framing</p><p>(31:06) “Line Skating” and Legal Grey Zones</p><p>(34:42) The Health Data Economy Behind These Apps</p><p>(39:00) How Much Your Mental Health File Might Be Worth</p><p>(43:04) Accepting Flaws When There’s No Alternative</p><p>(44:02) CBT’s Real Strengths and Use Cases</p><p>(45:18) How to Use These Tools Without Risk</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3489</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>Replace Yourself With Systems: How AI Helps You Work Less</title>
      <description>This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.

Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.

They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.

Also in this episode:
	•	What makes a great voice agent prompt
	•	Why prompting is the core skill for non-technical AI builders
	•	How Matt handles imposter syndrome and subcontracting
	•	A breakdown of the orchestration layers and tools he uses daily
	•	What it takes to serve enterprise clients with AI systems

If you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.

Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe

Join the community:
https://www.skool.com/the-ai-report-community/about

Chapters:
(00:00) Why Speed-to-Lead Still Wins Deals
(01:13) Matt’s Non-Technical Path to Building With AI
(03:45) Early AI Projects and First Use Cases
(06:05) Automating Business Docs With ChatGPT
(08:14) Leaving the Agency to Go All-In on Future Flow
(11:00) Pitching AI Solutions From a Sales Job
(13:20) Ghostwriting With GPT and Finding a Real Offer
(15:30) How Voice Agents Handle Inbound and Outbound
(17:45) The End-to-End Sales Process With AI
(20:00) End-of-Call Reporting and CRM Automation
(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel
(25:00) Leveraging Subcontractors to Scale
(28:00) Building With Confidence as a Non-Engineer
(30:30) Thinking Bigger: Serving Enterprise Clients
(33:00) Advice for Non-Technical AI Builders
(36:00) Start With Prompting, Then Automate
(39:00) What’s Next for Matt and Future Flow

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 25 Apr 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>40</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/15d9de36-34de-11f1-8875-8f38a03ca6cd/image/3efd168daf11b55279bedb813b9b5d66.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.

Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.

They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.

Also in this episode:
	•	What makes a great voice agent prompt
	•	Why prompting is the core skill for non-technical AI builders
	•	How Matt handles imposter syndrome and subcontracting
	•	A breakdown of the orchestration layers and tools he uses daily
	•	What it takes to serve enterprise clients with AI systems

If you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.

Subscribe to The AI Report:
https://theaireport.beehiiv.com/subscribe

Join the community:
https://www.skool.com/the-ai-report-community/about

Chapters:
(00:00) Why Speed-to-Lead Still Wins Deals
(01:13) Matt’s Non-Technical Path to Building With AI
(03:45) Early AI Projects and First Use Cases
(06:05) Automating Business Docs With ChatGPT
(08:14) Leaving the Agency to Go All-In on Future Flow
(11:00) Pitching AI Solutions From a Sales Job
(13:20) Ghostwriting With GPT and Finding a Real Offer
(15:30) How Voice Agents Handle Inbound and Outbound
(17:45) The End-to-End Sales Process With AI
(20:00) End-of-Call Reporting and CRM Automation
(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel
(25:00) Leveraging Subcontractors to Scale
(28:00) Building With Confidence as a Non-Engineer
(30:30) Thinking Bigger: Serving Enterprise Clients
(33:00) Advice for Non-Technical AI Builders
(36:00) Start With Prompting, Then Automate
(39:00) What’s Next for Matt and Future Flow

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week on The AI Report, Liam Lawson is joined by Matthew Cohn, the founder of Future Flow, to talk about one of the most practical applications of AI today: voice agents.</p><p><br></p><p>Matt doesn’t write code. He’s not a machine learning engineer. But he’s built a thriving business that automates sales, lead qualification, and customer follow-up using tools like Vapi, N8N, and custom GPT agents. In this episode, Matt explains how he went from university marketing projects to running voice agents that act as round-the-clock sales assistants for real businesses.</p><p><br></p><p>They dig into the real pain points these agents solve—missed calls, slow follow-ups, and overworked sales reps—and how small to mid-size businesses are starting to catch on.</p><p><br></p><p>Also in this episode:</p><p>	•	What makes a great voice agent prompt</p><p>	•	Why prompting is the core skill for non-technical AI builders</p><p>	•	How Matt handles imposter syndrome and subcontracting</p><p>	•	A breakdown of the orchestration layers and tools he uses daily</p><p>	•	What it takes to serve enterprise clients with AI systems</p><p><br></p><p>If you’ve been curious about AI agents, automation workflows, or what it takes to build a lean, scalable AI business without writing code, this is a must-listen.</p><p><br></p><p>Subscribe to The AI Report:</p><p>https://theaireport.beehiiv.com/subscribe</p><p><br></p><p>Join the community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p><br></p><p>Chapters:</p><p>(00:00) Why Speed-to-Lead Still Wins Deals</p><p>(01:13) Matt’s Non-Technical Path to Building With AI</p><p>(03:45) Early AI Projects and First Use Cases</p><p>(06:05) Automating Business Docs With ChatGPT</p><p>(08:14) Leaving the Agency to Go All-In on Future Flow</p><p>(11:00) Pitching AI Solutions From a Sales Job</p><p>(13:20) Ghostwriting With GPT and Finding a Real Offer</p><p>(15:30) How Voice Agents Handle Inbound and Outbound</p><p>(17:45) The End-to-End Sales Process With AI</p><p>(20:00) End-of-Call Reporting and CRM Automation</p><p>(23:00) The Tools Behind It All: Vapi, N8N, GoHighLevel</p><p>(25:00) Leveraging Subcontractors to Scale</p><p>(28:00) Building With Confidence as a Non-Engineer</p><p>(30:30) Thinking Bigger: Serving Enterprise Clients</p><p>(33:00) Advice for Non-Technical AI Builders</p><p>(36:00) Start With Prompting, Then Automate</p><p>(39:00) What’s Next for Matt and Future Flow</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2633</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8c8cba37-c841-4b98-806f-259ec27f235d]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5849739461.mp3?updated=1776342308" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How One Founder Replaced a 20-Person Team With AI Tools</title>
      <description>On this episode of The AI Report, Liam Lawson sits down with Avi Hacker, founder of the AI Consulting Network and one of the most prolific solo operators in the AI world.
Avi doesn’t know how to code, but that hasn’t stopped him from building a business powered entirely by custom GPTs, Airtable workflows, Make.com automations, and a relentless commitment to experimentation. He’s automated everything from daily newsletters to podcast production and does it all without a technical team.
This conversation dives into:

How Avi scaled from law school grad to AI consultant


Why he operates like a 20-person team with zero employees


The real cost of automation and what clients often misunderstand


How he built tools for LinkedIn growth, blog creation, and deep research


The tech stack behind his daily content engine


If you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.
Subscribe to The AI Report:
theaireport.ai
Join our community:
skool.com/the-ai-report-community/about
Connect with Avi:
linkedin.com/in/avihacker
Chapters:
(00:00) Building Anything Without Knowing How to Code
(01:00) From Law School to AI Consultant
(03:05) Starting the AI Consulting Network
(05:12) What Clients Get Wrong About AI
(07:00) Understanding Time ROI in AI Projects
(08:14) Live Walkthrough: Automating The AI Report Newsletter
(11:00) Building a Custom Workflow with Make and Airtable
(13:20) Why He Doesn’t Do One-Time Builds
(15:00) The Internal Tools That Power His Growth
(17:45) Working Like a 20-Person Team Using AI
(19:14) Future Plans and Scaling the Business
(21:00) Experimenting With AI Agents
(23:00) Training AI-First Operators
(25:00) Big Ideas, Small Teams, and the Power of Leverage
(30:00) Explaining His Job to Non-Tech Folks
(32:00) Where to Find Avi Online

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 18 Apr 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1641d766-34de-11f1-8875-23da05080fb4/image/a56f109435b2a3e8540d6ef2ab5a4f06.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this episode of The AI Report, Liam Lawson sits down with Avi Hacker, founder of the AI Consulting Network and one of the most prolific solo operators in the AI world.
Avi doesn’t know how to code, but that hasn’t stopped him from building a business powered entirely by custom GPTs, Airtable workflows, Make.com automations, and a relentless commitment to experimentation. He’s automated everything from daily newsletters to podcast production and does it all without a technical team.
This conversation dives into:

How Avi scaled from law school grad to AI consultant


Why he operates like a 20-person team with zero employees


The real cost of automation and what clients often misunderstand


How he built tools for LinkedIn growth, blog creation, and deep research


The tech stack behind his daily content engine


If you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.
Subscribe to The AI Report:
theaireport.ai
Join our community:
skool.com/the-ai-report-community/about
Connect with Avi:
linkedin.com/in/avihacker
Chapters:
(00:00) Building Anything Without Knowing How to Code
(01:00) From Law School to AI Consultant
(03:05) Starting the AI Consulting Network
(05:12) What Clients Get Wrong About AI
(07:00) Understanding Time ROI in AI Projects
(08:14) Live Walkthrough: Automating The AI Report Newsletter
(11:00) Building a Custom Workflow with Make and Airtable
(13:20) Why He Doesn’t Do One-Time Builds
(15:00) The Internal Tools That Power His Growth
(17:45) Working Like a 20-Person Team Using AI
(19:14) Future Plans and Scaling the Business
(21:00) Experimenting With AI Agents
(23:00) Training AI-First Operators
(25:00) Big Ideas, Small Teams, and the Power of Leverage
(30:00) Explaining His Job to Non-Tech Folks
(32:00) Where to Find Avi Online

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this episode of The AI Report, Liam Lawson sits down with Avi Hacker, founder of the AI Consulting Network and one of the most prolific solo operators in the AI world.</p><p>Avi doesn’t know how to code, but that hasn’t stopped him from building a business powered entirely by custom GPTs, Airtable workflows, Make.com automations, and a relentless commitment to experimentation. He’s automated everything from daily newsletters to podcast production and does it all without a technical team.</p><p>This conversation dives into:</p><ul>
<li><p>How Avi scaled from law school grad to AI consultant</p></li>
<li><p>Why he operates like a 20-person team with zero employees</p></li>
<li><p>The real cost of automation and what clients often misunderstand</p></li>
<li><p>How he built tools for LinkedIn growth, blog creation, and deep research</p></li>
<li><p>The tech stack behind his daily content engine</p></li>
</ul><p>If you’re interested in the intersection of AI, automation, and solopreneurship, this is one to queue up.</p><p>Subscribe to The AI Report:</p><p>theaireport.ai</p><p>Join our community:</p><p>skool.com/the-ai-report-community/about</p><p>Connect with Avi:</p><p>linkedin.com/in/avihacker</p><p>Chapters:</p><p>(00:00) Building Anything Without Knowing How to Code</p><p>(01:00) From Law School to AI Consultant</p><p>(03:05) Starting the AI Consulting Network</p><p>(05:12) What Clients Get Wrong About AI</p><p>(07:00) Understanding Time ROI in AI Projects</p><p>(08:14) Live Walkthrough: Automating The AI Report Newsletter</p><p>(11:00) Building a Custom Workflow with Make and Airtable</p><p>(13:20) Why He Doesn’t Do One-Time Builds</p><p>(15:00) The Internal Tools That Power His Growth</p><p>(17:45) Working Like a 20-Person Team Using AI</p><p>(19:14) Future Plans and Scaling the Business</p><p>(21:00) Experimenting With AI Agents</p><p>(23:00) Training AI-First Operators</p><p>(25:00) Big Ideas, Small Teams, and the Power of Leverage</p><p>(30:00) Explaining His Job to Non-Tech Folks</p><p>(32:00) Where to Find Avi Online</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2050</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>Biden vs Trump: How U.S. AI Policy Is Shifting</title>
      <description>In this episode of The AI Report, Christine Walker joins Arturo Ferreira to launch a new series on the legal side of artificial intelligence. Christine is a practicing attorney helping businesses understand how to navigate AI risk, compliance, and governance in a rapidly changing policy environment.
They explore how the shift from the Biden to the Trump administration is changing the tone on AI regulation, what the EU AI Act means for U.S. companies, and why many of the legal frameworks we need for AI already exist. Christine breaks down how lawyers apply traditional legal principles to today’s AI challenges from intellectual property and employment law to bias and defamation.
Also in this episode:
	•	The risk of waiting for regulation to catch up
	•	How companies can conduct internal AI audits
	•	What courts are already doing with AI tools
	•	Why even lawyers are still figuring this out in real time
	•	What businesses should be doing now to reduce liability
Christine offers a grounded, practical view of what it means to use AI responsibly, even when the law seems unclear.
Subscribe to The AI Report:
theaireport.ai
Join our community:
skool.com/the-ai-report-community/about
Chapters:
(00:00) The Legal Risks of AI and Why It’s Still a Black Box
(01:13) Christine Walker’s Background in Law and Tech
(03:07) Biden vs Trump: Competing AI Governance Philosophies
(04:53) What Governance Means and Why It Matters
(06:26) Comparing the EU AI Act with the U.S. Legal Vacuum
(08:14) Case Law on IP, Bias, and Discrimination
(10:50) Why the Fear Around AI May Be Misplaced
(13:15) Legal Precedents: What Tech History Teaches Us
(16:06) The GOP’s AI Stance and Regulatory Philosophy
(18:35) Most AI Use Cases Already Fall Under Existing Law
(21:11) Why Precedents Take So Long—and What That Means
(23:08) Will AI Accelerate the Legal System?
(25:24) AI + Lawyers: A Collaborative Model
(27:15) Hallucinations, Case Law, and Legal Responsibility
(28:36) Building Policy Now to Avoid Legal Pain Later
(30:59) Christine’s Final Advice for Businesses and Builders

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 15 Apr 2025 21:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/16aa2046-34de-11f1-8875-0bf2363007f4/image/611b42c7531b5c8846795219a88a7263.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Christine Walker joins Arturo Ferreira to launch a new series on the legal side of artificial intelligence. Christine is a practicing attorney helping businesses understand how to navigate AI risk, compliance, and governance in a rapidly changing policy environment.
They explore how the shift from the Biden to the Trump administration is changing the tone on AI regulation, what the EU AI Act means for U.S. companies, and why many of the legal frameworks we need for AI already exist. Christine breaks down how lawyers apply traditional legal principles to today’s AI challenges from intellectual property and employment law to bias and defamation.
Also in this episode:
	•	The risk of waiting for regulation to catch up
	•	How companies can conduct internal AI audits
	•	What courts are already doing with AI tools
	•	Why even lawyers are still figuring this out in real time
	•	What businesses should be doing now to reduce liability
Christine offers a grounded, practical view of what it means to use AI responsibly, even when the law seems unclear.
Subscribe to The AI Report:
theaireport.ai
Join our community:
skool.com/the-ai-report-community/about
Chapters:
(00:00) The Legal Risks of AI and Why It’s Still a Black Box
(01:13) Christine Walker’s Background in Law and Tech
(03:07) Biden vs Trump: Competing AI Governance Philosophies
(04:53) What Governance Means and Why It Matters
(06:26) Comparing the EU AI Act with the U.S. Legal Vacuum
(08:14) Case Law on IP, Bias, and Discrimination
(10:50) Why the Fear Around AI May Be Misplaced
(13:15) Legal Precedents: What Tech History Teaches Us
(16:06) The GOP’s AI Stance and Regulatory Philosophy
(18:35) Most AI Use Cases Already Fall Under Existing Law
(21:11) Why Precedents Take So Long—and What That Means
(23:08) Will AI Accelerate the Legal System?
(25:24) AI + Lawyers: A Collaborative Model
(27:15) Hallucinations, Case Law, and Legal Responsibility
(28:36) Building Policy Now to Avoid Legal Pain Later
(30:59) Christine’s Final Advice for Businesses and Builders

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of The AI Report, Christine Walker joins Arturo Ferreira to launch a new series on the legal side of artificial intelligence. Christine is a practicing attorney helping businesses understand how to navigate AI risk, compliance, and governance in a rapidly changing policy environment.</p><p>They explore how the shift from the Biden to the Trump administration is changing the tone on AI regulation, what the EU AI Act means for U.S. companies, and why many of the legal frameworks we need for AI already exist. Christine breaks down how lawyers apply traditional legal principles to today’s AI challenges from intellectual property and employment law to bias and defamation.</p><p>Also in this episode:</p><p>	•	The risk of waiting for regulation to catch up</p><p>	•	How companies can conduct internal AI audits</p><p>	•	What courts are already doing with AI tools</p><p>	•	Why even lawyers are still figuring this out in real time</p><p>	•	What businesses should be doing now to reduce liability</p><p>Christine offers a grounded, practical view of what it means to use AI responsibly, even when the law seems unclear.</p><p>Subscribe to The AI Report:</p><p>theaireport.ai</p><p>Join our community:</p><p>skool.com/the-ai-report-community/about</p><p>Chapters:</p><p>(00:00) The Legal Risks of AI and Why It’s Still a Black Box</p><p>(01:13) Christine Walker’s Background in Law and Tech</p><p>(03:07) Biden vs Trump: Competing AI Governance Philosophies</p><p>(04:53) What Governance Means and Why It Matters</p><p>(06:26) Comparing the EU AI Act with the U.S. Legal Vacuum</p><p>(08:14) Case Law on IP, Bias, and Discrimination</p><p>(10:50) Why the Fear Around AI May Be Misplaced</p><p>(13:15) Legal Precedents: What Tech History Teaches Us</p><p>(16:06) The GOP’s AI Stance and Regulatory Philosophy</p><p>(18:35) Most AI Use Cases Already Fall Under Existing Law</p><p>(21:11) Why Precedents Take So Long—and What That Means</p><p>(23:08) Will AI Accelerate the Legal System?</p><p>(25:24) AI + Lawyers: A Collaborative Model</p><p>(27:15) Hallucinations, Case Law, and Legal Responsibility</p><p>(28:36) Building Policy Now to Avoid Legal Pain Later</p><p>(30:59) Christine’s Final Advice for Businesses and Builders</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1930</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a3a7440c-012d-4d70-8e4d-c43e2ac3018a]]></guid>
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    </item>
    <item>
      <title>From 0 to HubSpot: Scaling a Newsletter to 150K Subscribers</title>
      <description>Welcome back to The AI Report, where Liam Lawson speaks with the people shaping the future of AI, one breakthrough at a time.
This week’s guest is Adam Biddlecombe, co-founder of Mindstream, the daily AI newsletter that was acquired by HubSpot just 17 months after launch. Adam shares how he went from posting on LinkedIn during his lunch breaks to building a globally recognized media brand with over 150,000 engaged readers.
In this conversation, Adam breaks down how to grow and monetize a newsletter, what most people get wrong about AI adoption in companies, and why editorial quality still matters more than ever. He also shares the realities of startup life. from managing deliverability nightmares to building a distributed team across Lebanon, Iran, Pakistan, and beyond.
We talk through how to drive real AI literacy in teams, how to think about pricing ads for sponsors, and why being early matters less than being consistent.
Subscribe to The AI Report and stay sharp on everything happening in AI:
theaireport.ai
Connect with Adam:
linkedin.com/in/adambiddlecombe
Chapters:
(00:00) Why AI Literacy is the New Career Edge
(00:43) How Adam Sold Mindstream to HubSpot
(03:07) Growing the Newsletter from Scratch
(06:17) Building on LinkedIn in 2025
(09:25) Talking AI Fear and Workplace Buy-In
(12:21) Rolling Out AI Internally at Scale
(15:10) Educating Without Overwhelming
(19:06) The Mindstream Monetization Model
(22:18) Differentiating Through Editorial Voice
(27:02) Deliverability, List Hygiene, and Real Engagement
(30:47) Hiring Internationally and Building Culture
(35:00) Why Young, Global Talent Was the Secret
(40:14) The “Doppelgänger” Way to Train New Hires
(44:17) The Truth About Deliverability Pain
(48:08) The Email That Led to a HubSpot Acquisition
(49:19) Adam’s 4-5-Mile Clarity Walk
Follow the show and leave a rating if you found this episode valuable. It helps new listeners find the pod.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 11 Apr 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>38</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/17146f8c-34de-11f1-8875-1fe099b37575/image/8cbc0f478bf486b7ed8c1051079def5b.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Welcome back to The AI Report, where Liam Lawson speaks with the people shaping the future of AI, one breakthrough at a time.
This week’s guest is Adam Biddlecombe, co-founder of Mindstream, the daily AI newsletter that was acquired by HubSpot just 17 months after launch. Adam shares how he went from posting on LinkedIn during his lunch breaks to building a globally recognized media brand with over 150,000 engaged readers.
In this conversation, Adam breaks down how to grow and monetize a newsletter, what most people get wrong about AI adoption in companies, and why editorial quality still matters more than ever. He also shares the realities of startup life. from managing deliverability nightmares to building a distributed team across Lebanon, Iran, Pakistan, and beyond.
We talk through how to drive real AI literacy in teams, how to think about pricing ads for sponsors, and why being early matters less than being consistent.
Subscribe to The AI Report and stay sharp on everything happening in AI:
theaireport.ai
Connect with Adam:
linkedin.com/in/adambiddlecombe
Chapters:
(00:00) Why AI Literacy is the New Career Edge
(00:43) How Adam Sold Mindstream to HubSpot
(03:07) Growing the Newsletter from Scratch
(06:17) Building on LinkedIn in 2025
(09:25) Talking AI Fear and Workplace Buy-In
(12:21) Rolling Out AI Internally at Scale
(15:10) Educating Without Overwhelming
(19:06) The Mindstream Monetization Model
(22:18) Differentiating Through Editorial Voice
(27:02) Deliverability, List Hygiene, and Real Engagement
(30:47) Hiring Internationally and Building Culture
(35:00) Why Young, Global Talent Was the Secret
(40:14) The “Doppelgänger” Way to Train New Hires
(44:17) The Truth About Deliverability Pain
(48:08) The Email That Led to a HubSpot Acquisition
(49:19) Adam’s 4-5-Mile Clarity Walk
Follow the show and leave a rating if you found this episode valuable. It helps new listeners find the pod.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Welcome back to The AI Report, where Liam Lawson speaks with the people shaping the future of AI, one breakthrough at a time.</p><p>This week’s guest is Adam Biddlecombe, co-founder of Mindstream, the daily AI newsletter that was acquired by HubSpot just 17 months after launch. Adam shares how he went from posting on LinkedIn during his lunch breaks to building a globally recognized media brand with over 150,000 engaged readers.</p><p>In this conversation, Adam breaks down how to grow and monetize a newsletter, what most people get wrong about AI adoption in companies, and why editorial quality still matters more than ever. He also shares the realities of startup life. from managing deliverability nightmares to building a distributed team across Lebanon, Iran, Pakistan, and beyond.</p><p>We talk through how to drive real AI literacy in teams, how to think about pricing ads for sponsors, and why being early matters less than being consistent.</p><p>Subscribe to The AI Report and stay sharp on everything happening in AI:</p><p>theaireport.ai</p><p>Connect with Adam:</p><p>linkedin.com/in/adambiddlecombe</p><p>Chapters:</p><p>(00:00) Why AI Literacy is the New Career Edge</p><p>(00:43) How Adam Sold Mindstream to HubSpot</p><p>(03:07) Growing the Newsletter from Scratch</p><p>(06:17) Building on LinkedIn in 2025</p><p>(09:25) Talking AI Fear and Workplace Buy-In</p><p>(12:21) Rolling Out AI Internally at Scale</p><p>(15:10) Educating Without Overwhelming</p><p>(19:06) The Mindstream Monetization Model</p><p>(22:18) Differentiating Through Editorial Voice</p><p>(27:02) Deliverability, List Hygiene, and Real Engagement</p><p>(30:47) Hiring Internationally and Building Culture</p><p>(35:00) Why Young, Global Talent Was the Secret</p><p>(40:14) The “Doppelgänger” Way to Train New Hires</p><p>(44:17) The Truth About Deliverability Pain</p><p>(48:08) The Email That Led to a HubSpot Acquisition</p><p>(49:19) Adam’s 4-5-Mile Clarity Walk</p><p>Follow the show and leave a rating if you found this episode valuable. It helps new listeners find the pod.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4960</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    </item>
    <item>
      <title>From Zero to 129K: Building GrowHub and a Brand with AI</title>
      <description>🎙️ Welcome back to The AI Report with Liam Lawson — your backstage pass to the builders, thinkers, and creators pushing AI forward.

This week, Liam sits down with Alex Banks, the mind behind GrowHub, TribeScaler, and The Signal newsletter. From publishing hooks on Twitter to launching tools that power top LinkedIn creators, Alex walks us through how he built a personal brand and product suite that’s generated massive reach—and real revenue.

🔥 In this episode:
	•	The founding story of GrowHub—and why it’s not just another AI writing tool
	•	How Alex balances building multiple ventures while staying active on socials
	•	Why authenticity beats virality in the long run
	•	The exact tech stack and workflows he uses to stay ahead
	•	What he’d do if he had to start from scratch tomorrow

Whether you’re a founder, creator, or just AI-curious, this episode is packed with insights on playing the long game, productizing your edge, and building in public.

Subscribe to The AI Report and get smarter on AI in 5 minutes/day:
📬 https://www.theaireport.ai/

🧠 Join the free Skool community:
https://www.skool.com/the-ai-report-community/about

👋 Connect with Alex:
https://www.linkedin.com/in/alexbanks-ai/


⏱️ Chapters
(00:00) Building Without Expectation
(01:39) Writing Online &amp; Learning the Algorithm
(03:09) First Product: TribeScaler
(06:17) AI Tools for Personal Workflow
(09:43) Go-To Tools: V0, WisprFlow, Fixer
(13:20) On Voice, Trust &amp; Real Community
(15:31) Why GrowHub Exists
(19:28) Live Walkthrough of GrowHub
(24:05) Writing Style as Product DNA
(25:34) Personal Branding &gt; Your CV
(29:18) The Reality of Building with AI
(36:57) Positive Sum Thinking in Business
(37:08) Starting From Scratch: Alex’s Blueprint
(43:44) Why He’s All-In on AI
(45:01) Where to Follow Alex

Follow the show and leave us a 5-star review if you’re loving the pod—it helps more builders discover the signal. 🚀

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 04 Apr 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>37</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/177ec0c6-34de-11f1-8875-8b05258d4294/image/58f809deeb3e4e6fe29f5a1f907bd333.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>🎙️ Welcome back to The AI Report with Liam Lawson — your backstage pass to the builders, thinkers, and creators pushing AI forward.

This week, Liam sits down with Alex Banks, the mind behind GrowHub, TribeScaler, and The Signal newsletter. From publishing hooks on Twitter to launching tools that power top LinkedIn creators, Alex walks us through how he built a personal brand and product suite that’s generated massive reach—and real revenue.

🔥 In this episode:
	•	The founding story of GrowHub—and why it’s not just another AI writing tool
	•	How Alex balances building multiple ventures while staying active on socials
	•	Why authenticity beats virality in the long run
	•	The exact tech stack and workflows he uses to stay ahead
	•	What he’d do if he had to start from scratch tomorrow

Whether you’re a founder, creator, or just AI-curious, this episode is packed with insights on playing the long game, productizing your edge, and building in public.

Subscribe to The AI Report and get smarter on AI in 5 minutes/day:
📬 https://www.theaireport.ai/

🧠 Join the free Skool community:
https://www.skool.com/the-ai-report-community/about

👋 Connect with Alex:
https://www.linkedin.com/in/alexbanks-ai/


⏱️ Chapters
(00:00) Building Without Expectation
(01:39) Writing Online &amp; Learning the Algorithm
(03:09) First Product: TribeScaler
(06:17) AI Tools for Personal Workflow
(09:43) Go-To Tools: V0, WisprFlow, Fixer
(13:20) On Voice, Trust &amp; Real Community
(15:31) Why GrowHub Exists
(19:28) Live Walkthrough of GrowHub
(24:05) Writing Style as Product DNA
(25:34) Personal Branding &gt; Your CV
(29:18) The Reality of Building with AI
(36:57) Positive Sum Thinking in Business
(37:08) Starting From Scratch: Alex’s Blueprint
(43:44) Why He’s All-In on AI
(45:01) Where to Follow Alex

Follow the show and leave us a 5-star review if you’re loving the pod—it helps more builders discover the signal. 🚀

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>🎙️ <em>Welcome back to The AI Report with Liam Lawson</em> — your backstage pass to the builders, thinkers, and creators pushing AI forward.</p><p><br></p><p>This week, Liam sits down with <strong>Alex Banks</strong>, the mind behind GrowHub, TribeScaler, and The Signal newsletter. From publishing hooks on Twitter to launching tools that power top LinkedIn creators, Alex walks us through how he built a personal brand and product suite that’s generated massive reach—and real revenue.</p><p><br></p><p>🔥 In this episode:</p><p>	•	The founding story of GrowHub—and why it’s <em>not just another AI writing tool</em></p><p>	•	How Alex balances building multiple ventures while staying active on socials</p><p>	•	Why authenticity beats virality in the long run</p><p>	•	The exact tech stack and workflows he uses to stay ahead</p><p>	•	What he’d do <em>if he had to start from scratch tomorrow</em></p><p><br></p><p>Whether you’re a founder, creator, or just AI-curious, this episode is packed with insights on playing the long game, productizing your edge, and building in public.</p><p><br></p><p>Subscribe to <em>The AI Report</em> and get smarter on AI in 5 minutes/day:</p><p>📬 https://www.theaireport.ai/</p><p><br></p><p>🧠 Join the free Skool community:</p><p>https://www.skool.com/the-ai-report-community/about</p><p><br></p><p>👋 Connect with Alex:</p><p>https://www.linkedin.com/in/alexbanks-ai/</p><p><br></p><p><br></p><p>⏱️ <strong>Chapters</strong></p><p>(00:00) Building Without Expectation</p><p>(01:39) Writing Online &amp; Learning the Algorithm</p><p>(03:09) First Product: TribeScaler</p><p>(06:17) AI Tools for Personal Workflow</p><p>(09:43) Go-To Tools: V0, WisprFlow, Fixer</p><p>(13:20) On Voice, Trust &amp; Real Community</p><p>(15:31) Why GrowHub Exists</p><p>(19:28) Live Walkthrough of GrowHub</p><p>(24:05) Writing Style as Product DNA</p><p>(25:34) Personal Branding &gt; Your CV</p><p>(29:18) The Reality of Building with AI</p><p>(36:57) Positive Sum Thinking in Business</p><p>(37:08) Starting From Scratch: Alex’s Blueprint</p><p>(43:44) Why He’s All-In on AI</p><p>(45:01) Where to Follow Alex</p><p><br></p><p>Follow the show and leave us a 5-star review if you’re loving the pod—it helps more builders discover the signal. 🚀</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
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    <item>
      <title>From $180M Exit to Building an Billion Dollar AI Startup | Frank Greeff</title>
      <description>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/


In this episode of The AI Report, Liam Lawson sits down with Frank Greeff, former chef-turned-tech founder who built and sold Realbase for $180M, to explore how AI, founder relationships, and radical action are reshaping the future of entrepreneurship in the AI era.

Frank shares the full story behind Realbase’s growth—from a garage-based signboard company to Australia’s #1 real estate marketing platform. He dives into the mindset behind building a company to acquisition, why most founders struggle post-exit, and how he’s now leveraging AI to build a lean, billion-dollar business with fewer than 100 employees.

From creating AI-powered org charts and automating operations to hosting $55K yacht events for 8-figure founders, this episode is packed with insights on scaling, brand-building, and creating leverage through people and systems. Frank also unpacks how he uses ChatGPT like a third co-founder, why resilience is more important than routines, and what the real differentiator will be in a world where AI does everything—human relationships.

But it’s not just about AI tools—this episode is a masterclass in modern founder psychology: why doing what “doesn’t make sense” might be your greatest edge, how to stay in the game long enough to win, and how to align business with purpose at scale.

Want to understand what the future of work, leadership, and founder-led growth looks like in an AI-native world?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!
Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.
Join our free community now: https://www.skool.com/the-ai-report-community/about

Connect with Frank: https://au.linkedin.com/in/frankgreeff


(00:00) Intro
(02:08) Realbase Origin: From Garage Startup to Market Leader
(04:55) The $180M Exit to Domain: Behind the Deal
(07:46) Launching The Founder’s Table
(09:58) Building a Network Like the PayPal Mafia
(13:57) Why Top-of-Funnel Content is a Game Changer
(18:34) What Successful Founders Actually Eat
(23:31) Traits of Successful Founders in the AI Era
(27:58) The #1 Trait Founders Need to Thrive with AI
(31:36) Only 3% of Founders Are Truly Using AI
(33:44) Frank’s AI Org Chart Explained (Router, Agents, Managers)
(36:30) Using AI as a Third Co-Founder
(38:30) Designing a Lean AI-First Company
(41:31) Hosting $55K Founder Dinners on Yachts
(43:34) Why Relationships Are the Ultimate Moat in an AI World
(45:04) Frank’s New Business Vision

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 28 Mar 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/17e9dfc8-34de-11f1-8875-3f5effb468e8/image/ec7210e4017fa11f60e5df5f6e23de0b.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/


In this episode of The AI Report, Liam Lawson sits down with Frank Greeff, former chef-turned-tech founder who built and sold Realbase for $180M, to explore how AI, founder relationships, and radical action are reshaping the future of entrepreneurship in the AI era.

Frank shares the full story behind Realbase’s growth—from a garage-based signboard company to Australia’s #1 real estate marketing platform. He dives into the mindset behind building a company to acquisition, why most founders struggle post-exit, and how he’s now leveraging AI to build a lean, billion-dollar business with fewer than 100 employees.

From creating AI-powered org charts and automating operations to hosting $55K yacht events for 8-figure founders, this episode is packed with insights on scaling, brand-building, and creating leverage through people and systems. Frank also unpacks how he uses ChatGPT like a third co-founder, why resilience is more important than routines, and what the real differentiator will be in a world where AI does everything—human relationships.

But it’s not just about AI tools—this episode is a masterclass in modern founder psychology: why doing what “doesn’t make sense” might be your greatest edge, how to stay in the game long enough to win, and how to align business with purpose at scale.

Want to understand what the future of work, leadership, and founder-led growth looks like in an AI-native world?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!
Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.
Join our free community now: https://www.skool.com/the-ai-report-community/about

Connect with Frank: https://au.linkedin.com/in/frankgreeff


(00:00) Intro
(02:08) Realbase Origin: From Garage Startup to Market Leader
(04:55) The $180M Exit to Domain: Behind the Deal
(07:46) Launching The Founder’s Table
(09:58) Building a Network Like the PayPal Mafia
(13:57) Why Top-of-Funnel Content is a Game Changer
(18:34) What Successful Founders Actually Eat
(23:31) Traits of Successful Founders in the AI Era
(27:58) The #1 Trait Founders Need to Thrive with AI
(31:36) Only 3% of Founders Are Truly Using AI
(33:44) Frank’s AI Org Chart Explained (Router, Agents, Managers)
(36:30) Using AI as a Third Co-Founder
(38:30) Designing a Lean AI-First Company
(41:31) Hosting $55K Founder Dinners on Yachts
(43:34) Why Relationships Are the Ultimate Moat in an AI World
(45:04) Frank’s New Business Vision

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learn AI in 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p><br></p><p><br></p><p>In this episode of The AI Report, Liam Lawson sits down with Frank Greeff, former chef-turned-tech founder who built and sold Realbase for $180M, to explore how AI, founder relationships, and radical action are reshaping the future of entrepreneurship in the AI era.</p><p><br></p><p>Frank shares the full story behind Realbase’s growth—from a garage-based signboard company to Australia’s #1 real estate marketing platform. He dives into the mindset behind building a company to acquisition, why most founders struggle post-exit, and how he’s now leveraging AI to build a lean, billion-dollar business with fewer than 100 employees.</p><p><br></p><p>From creating AI-powered org charts and automating operations to hosting $55K yacht events for 8-figure founders, this episode is packed with insights on scaling, brand-building, and creating leverage through people and systems. Frank also unpacks how he uses ChatGPT like a third co-founder, why resilience is more important than routines, and what the real differentiator will be in a world where AI does everything—human relationships.</p><p><br></p><p>But it’s not just about AI tools—this episode is a masterclass in modern founder psychology: why doing what “doesn’t make sense” might be your greatest edge, how to stay in the game long enough to win, and how to align business with purpose at scale.</p><p><br></p><p>Want to understand what the future of work, leadership, and founder-led growth looks like in an AI-native world?</p><p><br></p><p>Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!</p><p>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.</p><p>Join our free community now: <a href="https://www.skool.com/the-ai-report-community/about">https://www.skool.com/the-ai-report-community/about</a></p><p><br></p><p>Connect with Frank: <a href="https://au.linkedin.com/in/frankgreeff">https://au.linkedin.com/in/frankgreeff</a></p><p><br></p><p><br></p><p>(00:00) Intro</p><p>(02:08) Realbase Origin: From Garage Startup to Market Leader</p><p>(04:55) The $180M Exit to Domain: Behind the Deal</p><p>(07:46) Launching The Founder’s Table</p><p>(09:58) Building a Network Like the PayPal Mafia</p><p>(13:57) Why Top-of-Funnel Content is a Game Changer</p><p>(18:34) What Successful Founders Actually Eat</p><p>(23:31) Traits of Successful Founders in the AI Era</p><p>(27:58) The #1 Trait Founders Need to Thrive with AI</p><p>(31:36) Only 3% of Founders Are Truly Using AI</p><p>(33:44) Frank’s AI Org Chart Explained (Router, Agents, Managers)</p><p>(36:30) Using AI as a Third Co-Founder</p><p>(38:30) Designing a Lean AI-First Company</p><p>(41:31) Hosting $55K Founder Dinners on Yachts</p><p>(43:34) Why Relationships Are the Ultimate Moat in an AI World</p><p>(45:04) Frank’s New Business Vision</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3312</itunes:duration>
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    </item>
    <item>
      <title>How to Automate B2B Lead Generation Using AI | Nicholas Verity </title>
      <description>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/


In this episode of The AI Report, Liam Lawson sits down with Nick Verity, CEO of Cleverly and partner at Axe Automation, to explore how AI, workflow automation, and productized services are reshaping the future of B2B lead generation and outbound sales.

Nick breaks down how Cleverly scaled to 1,000+ five-star reviews by turning traditional agency work into a highly automated, subscription-based model—leveraging AI tools like Claude to streamline cold outreach, personalize copywriting, and optimize client delivery. He explains why scalable lead generation in 2025 depends on automation-first thinking and how to build operational systems that run without weekly hand-holding.

From automating onboarding and CRM workflows to launching high-converting cold email campaigns, this episode is packed with actionable insights. Nick also dives into the rise (and hype) of AI SDR startups, the shift toward intent-based outreach, and why good cold email is still about relevance, proof, and a killer offer.

But it’s not just about systems—this episode also explores the mindset of a founder: how fear, problem-solving, and grit shaped Nick’s journey from blue-collar roots to leading two high-growth businesses, and why the “AI Orchestrator” might just be the most important job title of the next decade.

Want to scale your agency, automate your sales funnel, and dominate outbound in the age of AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!


Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about

Connect with Nicholas: https://www.linkedin.com/in/nick-verity/


(00:00) Preview
(01:39) The Founding Story of Cleverly 
(05:37) Automating Client Management at Scale 
(07:39) Nick’s Product Development &amp; Strategy Framework 
(12:21) Breaking Down Cleverly’s Revenue Model 
(17:44) AI SDRs &amp; 2025 Cold Email Strategies
(21:31) Scaling Axe: Challenges, Lessons &amp; Productization 
(26:28) What Axe Automation Actually Does for Clients 
(28:50) Who Buys Automation (And Who Doesn’t) 
(35:04) Personal Productivity vs Workflow Automation with AI 
(37:33) The Rise of the AI Orchestrator Role  
(42:17) Nick’s Thoughts on Investing, Risk, and Focus  
(47:11) Nick’s Vision For the Future


Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 21 Mar 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/184d8136-34de-11f1-8875-73804c55b21f/image/2d53969ca0339121d09e366ee56a92f6.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/


In this episode of The AI Report, Liam Lawson sits down with Nick Verity, CEO of Cleverly and partner at Axe Automation, to explore how AI, workflow automation, and productized services are reshaping the future of B2B lead generation and outbound sales.

Nick breaks down how Cleverly scaled to 1,000+ five-star reviews by turning traditional agency work into a highly automated, subscription-based model—leveraging AI tools like Claude to streamline cold outreach, personalize copywriting, and optimize client delivery. He explains why scalable lead generation in 2025 depends on automation-first thinking and how to build operational systems that run without weekly hand-holding.

From automating onboarding and CRM workflows to launching high-converting cold email campaigns, this episode is packed with actionable insights. Nick also dives into the rise (and hype) of AI SDR startups, the shift toward intent-based outreach, and why good cold email is still about relevance, proof, and a killer offer.

But it’s not just about systems—this episode also explores the mindset of a founder: how fear, problem-solving, and grit shaped Nick’s journey from blue-collar roots to leading two high-growth businesses, and why the “AI Orchestrator” might just be the most important job title of the next decade.

Want to scale your agency, automate your sales funnel, and dominate outbound in the age of AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!


Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about

Connect with Nicholas: https://www.linkedin.com/in/nick-verity/


(00:00) Preview
(01:39) The Founding Story of Cleverly 
(05:37) Automating Client Management at Scale 
(07:39) Nick’s Product Development &amp; Strategy Framework 
(12:21) Breaking Down Cleverly’s Revenue Model 
(17:44) AI SDRs &amp; 2025 Cold Email Strategies
(21:31) Scaling Axe: Challenges, Lessons &amp; Productization 
(26:28) What Axe Automation Actually Does for Clients 
(28:50) Who Buys Automation (And Who Doesn’t) 
(35:04) Personal Productivity vs Workflow Automation with AI 
(37:33) The Rise of the AI Orchestrator Role  
(42:17) Nick’s Thoughts on Investing, Risk, and Focus  
(47:11) Nick’s Vision For the Future


Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learn AI in 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p><br></p><p><br></p><p>In this episode of The AI Report, Liam Lawson sits down with Nick Verity, CEO of Cleverly and partner at Axe Automation, to explore how AI, workflow automation, and productized services are reshaping the future of B2B lead generation and outbound sales.</p><p><br></p><p>Nick breaks down how Cleverly scaled to 1,000+ five-star reviews by turning traditional agency work into a highly automated, subscription-based model—leveraging AI tools like Claude to streamline cold outreach, personalize copywriting, and optimize client delivery. He explains why scalable lead generation in 2025 depends on automation-first thinking and how to build operational systems that run without weekly hand-holding.</p><p><br></p><p>From automating onboarding and CRM workflows to launching high-converting cold email campaigns, this episode is packed with actionable insights. Nick also dives into the rise (and hype) of AI SDR startups, the shift toward intent-based outreach, and why good cold email is still about relevance, proof, and a killer offer.</p><p><br></p><p>But it’s not just about systems—this episode also explores the mindset of a founder: how fear, problem-solving, and grit shaped Nick’s journey from blue-collar roots to leading two high-growth businesses, and why the “AI Orchestrator” might just be the most important job title of the next decade.</p><p><br></p><p>Want to scale your agency, automate your sales funnel, and dominate outbound in the age of AI?</p><p><br></p><p>Tune in now! Don’t forget to like, comment, and subscribe for more expert insights!</p><p><br></p><p><br></p><p>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.</p><p><br></p><p>Join our free community now: <a href="https://www.skool.com/the-ai-report-community/about">https://www.skool.com/the-ai-report-community/about</a></p><p><br></p><p>Connect with Nicholas: <a href="https://www.linkedin.com/in/nick-verity/">https://www.linkedin.com/in/nick-verity/</a></p><p><br></p><p><br></p><p>(00:00) Preview</p><p>(01:39) The Founding Story of Cleverly </p><p>(05:37) Automating Client Management at Scale </p><p>(07:39) Nick’s Product Development &amp; Strategy Framework </p><p>(12:21) Breaking Down Cleverly’s Revenue Model </p><p>(17:44) AI SDRs &amp; 2025 Cold Email Strategies</p><p>(21:31) Scaling Axe: Challenges, Lessons &amp; Productization </p><p>(26:28) What Axe Automation Actually Does for Clients </p><p>(28:50) Who Buys Automation (And Who Doesn’t) </p><p>(35:04) Personal Productivity vs Workflow Automation with AI </p><p>(37:33) The Rise of the AI Orchestrator Role  </p><p>(42:17) Nick’s Thoughts on Investing, Risk, and Focus  </p><p>(47:11) Nick’s Vision For the Future</p><p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3021</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[759b252a-dbfa-441d-a7c0-b3a074038eab]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4487224018.mp3?updated=1776342637" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How to Use AI To Fully Automate Your Sales Process | Bjion Henry</title>
      <description>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/

In this episode of The AI Report,Liam Lawson sits down with Bjion Henry, CEO of Navreo.ai, to explore the AI’s impact in sales and lead generation in today's world. 


Discover how Navreo.ai transitioned from a general AI automation agency to a niche-focused leader in AI-driven sales strategies. Bijon also shares insights into automating outbound sales, the importance of personal branding, and the future of AI in business.​

Topics Covered:

The evolution of Navreo.ai's business model​


Implementing AI in sales processes​


Strategies for effective personal branding on LinkedIn​


Client success stories and ideal business profiles​


Bijon's entrepreneurial journey and lessons learned




Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about


Connect with Bijon: https://www.linkedin.com/in/bjionhenry/


(00:00) Preview
(00:57) Using AI to Book Meetings Without Growing Headcount
(05:32) Navreo.ai's Niche-Focused Lead Gen
(07:26) Navreo.ai's Two-Pillar Strategy (Coaching &amp; Infrastructure)
(15:46) Bijon’s LinkedIn Growth Strategy (8k to 31k followers)
(17:27) How Bijon Generated 700+ Calls a Year from LinkedIn Content
(23:58) How to Create Viral LinkedIn Lead Magnets
(27:46) Building Targeted Lead Lists at Scale with AI
(30:46) AI-Powered Lead Qualification &amp; Decision-Making
(33:51) Advanced AI Email Personalization Tactics
(37:04) The Benefits of AI Automation
(39:42) Who Should Use Navreo.ai?
(45:01) The Future of AI in Sales
(47:23) Navreo.ai’s Origin Story
(51:52) Bijon’s Entrepreneurial Journey &amp; Key Business Lessons
(01:03:34) Bijon’s Core Motivation: From Validation to Passion

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 14 Mar 2025 12:39:47 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/18ae2d4c-34de-11f1-8875-13245c301537/image/a505f346990631f48d09fddc6fd601a9.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/

In this episode of The AI Report,Liam Lawson sits down with Bjion Henry, CEO of Navreo.ai, to explore the AI’s impact in sales and lead generation in today's world. 


Discover how Navreo.ai transitioned from a general AI automation agency to a niche-focused leader in AI-driven sales strategies. Bijon also shares insights into automating outbound sales, the importance of personal branding, and the future of AI in business.​

Topics Covered:

The evolution of Navreo.ai's business model​


Implementing AI in sales processes​


Strategies for effective personal branding on LinkedIn​


Client success stories and ideal business profiles​


Bijon's entrepreneurial journey and lessons learned




Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about


Connect with Bijon: https://www.linkedin.com/in/bjionhenry/


(00:00) Preview
(00:57) Using AI to Book Meetings Without Growing Headcount
(05:32) Navreo.ai's Niche-Focused Lead Gen
(07:26) Navreo.ai's Two-Pillar Strategy (Coaching &amp; Infrastructure)
(15:46) Bijon’s LinkedIn Growth Strategy (8k to 31k followers)
(17:27) How Bijon Generated 700+ Calls a Year from LinkedIn Content
(23:58) How to Create Viral LinkedIn Lead Magnets
(27:46) Building Targeted Lead Lists at Scale with AI
(30:46) AI-Powered Lead Qualification &amp; Decision-Making
(33:51) Advanced AI Email Personalization Tactics
(37:04) The Benefits of AI Automation
(39:42) Who Should Use Navreo.ai?
(45:01) The Future of AI in Sales
(47:23) Navreo.ai’s Origin Story
(51:52) Bijon’s Entrepreneurial Journey &amp; Key Business Lessons
(01:03:34) Bijon’s Core Motivation: From Validation to Passion

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Learn AI in 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p><br></p><p>In this episode of The AI Report,Liam Lawson sits down with Bjion Henry, CEO of Navreo.ai, to explore the AI’s impact in sales and lead generation in today's world. </p><p><br></p><p><br></p><p>Discover how Navreo.ai transitioned from a general AI automation agency to a niche-focused leader in AI-driven sales strategies. Bijon also shares insights into automating outbound sales, the importance of personal branding, and the future of AI in business.​</p><p><br></p><p><strong>Topics Covered:</strong></p><ul>
<li><p>The evolution of Navreo.ai's business model​</p></li>
<li><p>Implementing AI in sales processes​</p></li>
<li><p>Strategies for effective personal branding on LinkedIn​</p></li>
<li><p>Client success stories and ideal business profiles​</p></li>
<li><p>Bijon's entrepreneurial journey and lessons learned</p></li>
</ul><p><br></p><p><br></p><p>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.</p><p><br></p><p>Join our free community now: <a href="https://www.skool.com/the-ai-report-community/about">https://www.skool.com/the-ai-report-community/about</a></p><p><br></p><p><br></p><p>Connect with Bijon: <a href="https://www.linkedin.com/in/bjionhenry/">https://www.linkedin.com/in/bjionhenry/</a></p><p><br></p><p><br></p><p>(00:00) Preview</p><p>(00:57) Using AI to Book Meetings Without Growing Headcount</p><p>(05:32) Navreo.ai's Niche-Focused Lead Gen</p><p>(07:26) Navreo.ai's Two-Pillar Strategy (Coaching &amp; Infrastructure)</p><p>(15:46) Bijon’s LinkedIn Growth Strategy (8k to 31k followers)</p><p>(17:27) How Bijon Generated 700+ Calls a Year from LinkedIn Content</p><p>(23:58) How to Create Viral LinkedIn Lead Magnets</p><p>(27:46) Building Targeted Lead Lists at Scale with AI</p><p>(30:46) AI-Powered Lead Qualification &amp; Decision-Making</p><p>(33:51) Advanced AI Email Personalization Tactics</p><p>(37:04) The Benefits of AI Automation</p><p>(39:42) Who Should Use Navreo.ai?</p><p>(45:01) The Future of AI in Sales</p><p>(47:23) Navreo.ai’s Origin Story</p><p>(51:52) Bijon’s Entrepreneurial Journey &amp; Key Business Lessons</p><p>(01:03:34) Bijon’s Core Motivation: From Validation to Passion</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4094</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e3c80a44-7530-48c2-a819-770c2f8b50d2]]></guid>
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    </item>
    <item>
      <title>How AI is Replacing SDRs &amp; Transforming Sales Strategy | Zayd Syed Ali</title>
      <description>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.Join our free community now: https://www.skool.com/the-ai-report-community/about
In this episode of The AI Report, we dive deep into the future of AI-powered sales automation with Zayd, founder of Valley, a revolutionary AI sales tool reshaping the outbound process.Zayd breaks down how Valley uncovers high-intent prospects, researches them in real time, and generates hyper-personalized messages that convert—entirely autonomously. He explains how AI is moving beyond traditional outreach, eliminating inefficiencies, and turning cold prospects into booked meetings with unprecedented precision.But it’s not just about automation—this episode explores why AI is disrupting outdated sales strategies, why the ‘spray and pray’ approach no longer works, and how sales teams can leverage AI-driven insights to target the right prospects at the right time.From AI-powered LinkedIn outreach to optimizing messaging for maximum conversions, this conversation is packed with insights for anyone looking to supercharge their sales pipeline and stay competitive in the AI-driven future.Want to unlock the full potential of AI in sales?Tune in now! Don’t forget to like, comment, and subscribe for more cutting-edge AI insights.
Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/
Connect with Zayd: https://www.linkedin.com/in/zayd-syed-ali-4201101a9/
Timestamps:(00:00) Introduction &amp; What This Episode Covers(00:49) Understanding AI’s Role in Sales Today(01:23) The Three Levels of Value in AI Sales(03:12) How Valley Identifies High-Intent Prospects(04:00) The Power of AI in Personalized Messaging(05:07) Extracting Buyer Intent from Website Traffic(07:02) How AI Mimics Human Writing Styles(10:03) The 13-Step Process for AI-Generated Sales Messaging(12:24) The Evolution of Valley: From MVP to AI-Powered Sales Engine(15:35) Who Benefits Most from AI Sales Automation?(18:22) Moving Upmarket: AI Sales for Enterprise Clients(21:19) Why Traditional Outbound Sales Strategies Are Failing(23:47) The Mistakes AI SDRs Are Making Today(25:36) The Future of AI in Sales: Fewer Messages, Higher Conversions(28:47) Why LinkedIn is the Best Channel for AI-Powered Sales(30:33) Competing Against Sales Giants: The Startup Strategy(35:20) The Sales Process AI is Replacing &amp; What Comes Next(40:10) Lessons from Scaling an AI Sales Startup(45:50) The #1 Mistake Sales Teams Make When Using AI(48:30) How AI Will Redefine the Sales Process in 2025

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 07 Mar 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/191ea02c-34de-11f1-8875-b79114c0ddbf/image/ab03a3ad27773bdcb7951c38aca5deee.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.Join our free community now: https://www.skool.com/the-ai-report-community/about
In this episode of The AI Report, we dive deep into the future of AI-powered sales automation with Zayd, founder of Valley, a revolutionary AI sales tool reshaping the outbound process.Zayd breaks down how Valley uncovers high-intent prospects, researches them in real time, and generates hyper-personalized messages that convert—entirely autonomously. He explains how AI is moving beyond traditional outreach, eliminating inefficiencies, and turning cold prospects into booked meetings with unprecedented precision.But it’s not just about automation—this episode explores why AI is disrupting outdated sales strategies, why the ‘spray and pray’ approach no longer works, and how sales teams can leverage AI-driven insights to target the right prospects at the right time.From AI-powered LinkedIn outreach to optimizing messaging for maximum conversions, this conversation is packed with insights for anyone looking to supercharge their sales pipeline and stay competitive in the AI-driven future.Want to unlock the full potential of AI in sales?Tune in now! Don’t forget to like, comment, and subscribe for more cutting-edge AI insights.
Learn AI in 5 Minutes Per Day: https://www.theaireport.ai/
Connect with Zayd: https://www.linkedin.com/in/zayd-syed-ali-4201101a9/
Timestamps:(00:00) Introduction &amp; What This Episode Covers(00:49) Understanding AI’s Role in Sales Today(01:23) The Three Levels of Value in AI Sales(03:12) How Valley Identifies High-Intent Prospects(04:00) The Power of AI in Personalized Messaging(05:07) Extracting Buyer Intent from Website Traffic(07:02) How AI Mimics Human Writing Styles(10:03) The 13-Step Process for AI-Generated Sales Messaging(12:24) The Evolution of Valley: From MVP to AI-Powered Sales Engine(15:35) Who Benefits Most from AI Sales Automation?(18:22) Moving Upmarket: AI Sales for Enterprise Clients(21:19) Why Traditional Outbound Sales Strategies Are Failing(23:47) The Mistakes AI SDRs Are Making Today(25:36) The Future of AI in Sales: Fewer Messages, Higher Conversions(28:47) Why LinkedIn is the Best Channel for AI-Powered Sales(30:33) Competing Against Sales Giants: The Startup Strategy(35:20) The Sales Process AI is Replacing &amp; What Comes Next(40:10) Lessons from Scaling an AI Sales Startup(45:50) The #1 Mistake Sales Teams Make When Using AI(48:30) How AI Will Redefine the Sales Process in 2025

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.Join our free community now: <a href="https://www.skool.com/the-ai-report-community/about">https://www.skool.com/the-ai-report-community/about</a></p><p>In this episode of The AI Report, we dive deep into the future of AI-powered sales automation with Zayd, founder of Valley, a revolutionary AI sales tool reshaping the outbound process.Zayd breaks down how Valley uncovers high-intent prospects, researches them in real time, and generates hyper-personalized messages that convert—entirely autonomously. He explains how AI is moving beyond traditional outreach, eliminating inefficiencies, and turning cold prospects into booked meetings with unprecedented precision.But it’s not just about automation—this episode explores why AI is disrupting outdated sales strategies, why the ‘spray and pray’ approach no longer works, and how sales teams can leverage AI-driven insights to target the right prospects at the right time.From AI-powered LinkedIn outreach to optimizing messaging for maximum conversions, this conversation is packed with insights for anyone looking to supercharge their sales pipeline and stay competitive in the AI-driven future.Want to unlock the full potential of AI in sales?Tune in now! Don’t forget to like, comment, and subscribe for more cutting-edge AI insights.</p><p>Learn AI in 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p>Connect with Zayd: <a href="https://www.linkedin.com/in/zayd-syed-ali-4201101a9/">https://www.linkedin.com/in/zayd-syed-ali-4201101a9/</a></p><p>Timestamps:(00:00) Introduction &amp; What This Episode Covers(00:49) Understanding AI’s Role in Sales Today(01:23) The Three Levels of Value in AI Sales(03:12) How Valley Identifies High-Intent Prospects(04:00) The Power of AI in Personalized Messaging(05:07) Extracting Buyer Intent from Website Traffic(07:02) How AI Mimics Human Writing Styles(10:03) The 13-Step Process for AI-Generated Sales Messaging(12:24) The Evolution of Valley: From MVP to AI-Powered Sales Engine(15:35) Who Benefits Most from AI Sales Automation?(18:22) Moving Upmarket: AI Sales for Enterprise Clients(21:19) Why Traditional Outbound Sales Strategies Are Failing(23:47) The Mistakes AI SDRs Are Making Today(25:36) The Future of AI in Sales: Fewer Messages, Higher Conversions(28:47) Why LinkedIn is the Best Channel for AI-Powered Sales(30:33) Competing Against Sales Giants: The Startup Strategy(35:20) The Sales Process AI is Replacing &amp; What Comes Next(40:10) Lessons from Scaling an AI Sales Startup(45:50) The #1 Mistake Sales Teams Make When Using AI(48:30) How AI Will Redefine the Sales Process in 2025</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3553</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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    <item>
      <title>Everything You Need To Know About OpenAI's Operator | Ashley Gross</title>
      <description>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about


In this episode of The AI Report, Liam Lawson and Ashley Gross dive deep into OpenAI’s Operator, the groundbreaking AI agent that’s set to change how we work in 2025.

Ashley breaks down how Operator automates complex workflows, from drafting emails and summarizing calls to dynamically managing schedules—all in real-time. She shares why this AI-powered tool is revolutionizing project management, streamlining communication, and enabling AI-driven managers to outperform the competition.

But it’s not just about automation—this episode explores the implications of AI agents on the workforce, how SEO is being disrupted by AI-powered search, and why virtual assistants, as we know them, may soon be obsolete.

From integrating Operator with Asana and Google Calendar to the future of AI-human collaboration, this conversation is packed with insights on AI-driven productivity, workflow automation, and the evolution of digital workspaces.

Want to stay ahead in the AI revolution and learn how to leverage Operator for maximum efficiency?

Tune in now! Don’t forget to like, comment, and subscribe for more cutting-edge AI insights. 


The AI Report Pro Directory is your go-to hub for discovering top AI tools, expert resources, and exclusive insights—curated for AI professionals.

Join now: https://www.skool.com/the-ai-report/about


Connect with Ashley: https://www.linkedin.com/theashleygross/


(00:00) Intro
(00:50) What is OpenAI’s Operator? 
(04:50) AI’s Impact on Workforce &amp; Project Management  
(07:01) Automating Emails Using Asana &amp; OpenAI Operator  
(10:07) Live Demo: Operator Drafting Emails from Asana  
(14:05) How AI is Disrupting SEO  
(16:55) Summarizing Calls with Operator &amp; Google Gemini  
(21:05) Live Demo: Automating Meeting Notes &amp; Follow-Ups  
(29:32) The Future of AI in Scheduling &amp; Calendar Automation  
(34:11) AI Agents vs. Virtual Assistants
(39:52) Will AI Replace Jobs or Create New Opportunities?  
(42:50) The #1 Trait You Need to Succeed in an AI-Driven World  
(47:33) How OpenAI Can Improve Operator 

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 28 Feb 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/198d57b0-34de-11f1-8875-bf7de78620dd/image/5219d6a65cf9468d3a8ccbce9a763a32.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.

Join our free community now: https://www.skool.com/the-ai-report-community/about


In this episode of The AI Report, Liam Lawson and Ashley Gross dive deep into OpenAI’s Operator, the groundbreaking AI agent that’s set to change how we work in 2025.

Ashley breaks down how Operator automates complex workflows, from drafting emails and summarizing calls to dynamically managing schedules—all in real-time. She shares why this AI-powered tool is revolutionizing project management, streamlining communication, and enabling AI-driven managers to outperform the competition.

But it’s not just about automation—this episode explores the implications of AI agents on the workforce, how SEO is being disrupted by AI-powered search, and why virtual assistants, as we know them, may soon be obsolete.

From integrating Operator with Asana and Google Calendar to the future of AI-human collaboration, this conversation is packed with insights on AI-driven productivity, workflow automation, and the evolution of digital workspaces.

Want to stay ahead in the AI revolution and learn how to leverage Operator for maximum efficiency?

Tune in now! Don’t forget to like, comment, and subscribe for more cutting-edge AI insights. 


The AI Report Pro Directory is your go-to hub for discovering top AI tools, expert resources, and exclusive insights—curated for AI professionals.

Join now: https://www.skool.com/the-ai-report/about


Connect with Ashley: https://www.linkedin.com/theashleygross/


(00:00) Intro
(00:50) What is OpenAI’s Operator? 
(04:50) AI’s Impact on Workforce &amp; Project Management  
(07:01) Automating Emails Using Asana &amp; OpenAI Operator  
(10:07) Live Demo: Operator Drafting Emails from Asana  
(14:05) How AI is Disrupting SEO  
(16:55) Summarizing Calls with Operator &amp; Google Gemini  
(21:05) Live Demo: Automating Meeting Notes &amp; Follow-Ups  
(29:32) The Future of AI in Scheduling &amp; Calendar Automation  
(34:11) AI Agents vs. Virtual Assistants
(39:52) Will AI Replace Jobs or Create New Opportunities?  
(42:50) The #1 Trait You Need to Succeed in an AI-Driven World  
(47:33) How OpenAI Can Improve Operator 

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Over 400,000 OpenAI, Apple &amp; NASA professionals read The AI Report. We'll teach you how to leverage AI to make money/save time in just 5 minutes.</p><p><br></p><p>Join our free community now: <a href="https://www.skool.com/the-ai-report-community/about"><u>https://www.skool.com/the-ai-report-community/about</u></a></p><p><br></p><p><br></p><p>In this episode of <em>The AI Report</em>, Liam Lawson and Ashley Gross dive deep into <strong>OpenAI’s Operator</strong>, the groundbreaking AI agent that’s set to change how we work in 2025.</p><p><br></p><p>Ashley breaks down how <strong>Operator automates complex workflows</strong>, from drafting emails and summarizing calls to dynamically managing schedules—all in real-time. She shares why this AI-powered tool is <strong>revolutionizing project management, streamlining communication, and enabling AI-driven managers to outperform the competition</strong>.</p><p><br></p><p>But it’s not just about automation—this episode explores the <strong>implications of AI agents on the workforce</strong>, how <strong>SEO is being disrupted by AI-powered search</strong>, and why <strong>virtual assistants, as we know them, may soon be obsolete</strong>.</p><p><br></p><p>From integrating Operator with Asana and Google Calendar to the <strong>future of AI-human collaboration</strong>, this conversation is packed with <strong>insights on AI-driven productivity, workflow automation, and the evolution of digital workspaces</strong>.</p><p><br></p><p><strong>Want to stay ahead in the AI revolution and learn how to leverage Operator for maximum efficiency?</strong></p><p><br></p><p><strong>Tune in now!</strong> Don’t forget to <strong>like, comment, and subscribe</strong> for more cutting-edge AI insights. </p><p><br></p><p><br></p><p>The AI Report Pro Directory is your go-to hub for discovering top AI tools, expert resources, and exclusive insights—curated for AI professionals.</p><p><br></p><p>Join now: <a href="https://www.skool.com/the-ai-report/about"><u>https://www.skool.com/the-ai-report/about</u></a></p><p><br></p><p><br></p><p>Connect with Ashley: <a href="https://www.linkedin.com/in/theashleygross/"><u>https://www.linkedin.com/theashleygross/</u></a></p><p><br></p><p><br></p><p>(00:00) Intro</p><p>(00:50) What is OpenAI’s Operator? </p><p>(04:50) AI’s Impact on Workforce &amp; Project Management  </p><p>(07:01) Automating Emails Using Asana &amp; OpenAI Operator  </p><p>(10:07) Live Demo: Operator Drafting Emails from Asana  </p><p>(14:05) How AI is Disrupting SEO  </p><p>(16:55) Summarizing Calls with Operator &amp; Google Gemini  </p><p>(21:05) Live Demo: Automating Meeting Notes &amp; Follow-Ups  </p><p>(29:32) The Future of AI in Scheduling &amp; Calendar Automation  </p><p>(34:11) AI Agents vs. Virtual Assistants</p><p>(39:52) Will AI Replace Jobs or Create New Opportunities?  </p><p>(42:50) The #1 Trait You Need to Succeed in an AI-Driven World  </p><p>(47:33) How OpenAI Can Improve Operator </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3113</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG6238076287.mp3?updated=1776342956" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How AI Is Making Content Marketing 10X Easier | Lindsay Rosenthal</title>
      <description>In this episode of The AI Report, Liam Lawson sits down with Lindsay Rosenthal, founder of Cred Marketing, to explore how AI is disrupting content creation, video marketing, and personal branding in 2025.

Lindsay breaks down how AI-powered content workflows are helping CEOs, entrepreneurs, and marketers produce high-quality video and social media content faster than ever. She reveals why traditional content marketing strategies are outdated and how AI can help streamline content creation, boost engagement, and drive business growth.

From automating video production in one hour to leveraging AI for viral LinkedIn content, this episode is packed with actionable strategies. Lindsay also dives into the rise of B2B influencer marketing, the future of LinkedIn’s AI-driven algorithm, and why founder-led brands are the future of social media marketing.

But it’s not just about automation—this episode also explores the balance between AI and human creativity, how trust and authenticity are the new currency in marketing, and why brands that fail to integrate AI will fall behind.

Want to create more content in less time and build a high-impact personal brand using AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights.


Connect with Lindsay: https://www.linkedin.com/in/gen-z/

Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/


(00:00) Introduction
(00:38) Lindsay Rosenthal’s Journey into Content Marketing
(01:10) The Origin of "One Call, One Month of Video"
(04:00) The Rise of Founder-Led Brands on LinkedIn
(07:50) Fundamentals of a High-Performing Video
(11:28) How AI is Disrupting Content Creation
(13:37) The Challenge of Scaling a Personal Brand
(15:44) The Future of B2B Influencer Marketing
(18:16) The Role of Trust in Digital Marketing
(22:50) How AI is Reshaping Marketing &amp; Content Strategy
(26:29) Breaking Down LinkedIn’s Algorithm 
(32:00) AI vs. Human Creativity
(38:11) How to Leverage AI Tools
(41:30) The Shift Towards In-Person Networking &amp; Connection
(46:25) Creator vs. Consumer Mindset
(51:35) The Future of Content Marketing

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 21 Feb 2025 13:31:39 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/19f67524-34de-11f1-8875-377fe313026a/image/52177a6f27cd8d3d6a24b0e2e3663dab.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Liam Lawson sits down with Lindsay Rosenthal, founder of Cred Marketing, to explore how AI is disrupting content creation, video marketing, and personal branding in 2025.

Lindsay breaks down how AI-powered content workflows are helping CEOs, entrepreneurs, and marketers produce high-quality video and social media content faster than ever. She reveals why traditional content marketing strategies are outdated and how AI can help streamline content creation, boost engagement, and drive business growth.

From automating video production in one hour to leveraging AI for viral LinkedIn content, this episode is packed with actionable strategies. Lindsay also dives into the rise of B2B influencer marketing, the future of LinkedIn’s AI-driven algorithm, and why founder-led brands are the future of social media marketing.

But it’s not just about automation—this episode also explores the balance between AI and human creativity, how trust and authenticity are the new currency in marketing, and why brands that fail to integrate AI will fall behind.

Want to create more content in less time and build a high-impact personal brand using AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights.


Connect with Lindsay: https://www.linkedin.com/in/gen-z/

Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/


(00:00) Introduction
(00:38) Lindsay Rosenthal’s Journey into Content Marketing
(01:10) The Origin of "One Call, One Month of Video"
(04:00) The Rise of Founder-Led Brands on LinkedIn
(07:50) Fundamentals of a High-Performing Video
(11:28) How AI is Disrupting Content Creation
(13:37) The Challenge of Scaling a Personal Brand
(15:44) The Future of B2B Influencer Marketing
(18:16) The Role of Trust in Digital Marketing
(22:50) How AI is Reshaping Marketing &amp; Content Strategy
(26:29) Breaking Down LinkedIn’s Algorithm 
(32:00) AI vs. Human Creativity
(38:11) How to Leverage AI Tools
(41:30) The Shift Towards In-Person Networking &amp; Connection
(46:25) Creator vs. Consumer Mindset
(51:35) The Future of Content Marketing

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of <strong>The AI Report</strong>, Liam Lawson sits down with <strong>Lindsay Rosenthal</strong>, founder of <strong>Cred Marketing</strong>, to explore how AI is disrupting <strong>content creation, video marketing, and personal branding</strong> in 2025.</p><p><br></p><p>Lindsay breaks down how <strong>AI-powered content workflows</strong> are helping <strong>CEOs, entrepreneurs, and marketers</strong> produce high-quality video and social media content <strong>faster than ever</strong>. She reveals why <strong>traditional content marketing strategies are outdated</strong> and how AI can help <strong>streamline content creation, boost engagement, and drive business growth</strong>.</p><p><br></p><p>From <strong>automating video production in one hour</strong> to <strong>leveraging AI for viral LinkedIn content</strong>, this episode is packed with actionable strategies. Lindsay also dives into the <strong>rise of B2B influencer marketing</strong>, the <strong>future of LinkedIn’s AI-driven algorithm</strong>, and why <strong>founder-led brands are the future of social media marketing</strong>.</p><p><br></p><p>But it’s not just about automation—this episode also explores the <strong>balance between AI and human creativity</strong>, how <strong>trust and authenticity</strong> are the new currency in marketing, and why brands that fail to integrate AI will fall behind.</p><p><br></p><p><strong>Want to create more content in less time and build a high-impact personal brand using AI?</strong></p><p><br></p><p><strong>Tune in now!</strong> Don’t forget to <strong>like, comment, and subscribe</strong> for more expert insights.</p><p><br></p><p><br></p><p>Connect with Lindsay: <a href="https://www.linkedin.com/in/gen-z/">https://www.linkedin.com/in/gen-z/</a></p><p><br></p><p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p><br></p><p><br></p><p>(00:00) Introduction</p><p>(00:38) Lindsay Rosenthal’s Journey into Content Marketing</p><p>(01:10) The Origin of "One Call, One Month of Video"</p><p>(04:00) The Rise of Founder-Led Brands on LinkedIn</p><p>(07:50) Fundamentals of a High-Performing Video</p><p>(11:28) How AI is Disrupting Content Creation</p><p>(13:37) The Challenge of Scaling a Personal Brand</p><p>(15:44) The Future of B2B Influencer Marketing</p><p>(18:16) The Role of Trust in Digital Marketing</p><p>(22:50) How AI is Reshaping Marketing &amp; Content Strategy</p><p>(26:29) Breaking Down LinkedIn’s Algorithm </p><p>(32:00) AI vs. Human Creativity</p><p>(38:11) How to Leverage AI Tools</p><p>(41:30) The Shift Towards In-Person Networking &amp; Connection</p><p>(46:25) Creator vs. Consumer Mindset</p><p>(51:35) The Future of Content Marketing</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3532</itunes:duration>
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    </item>
    <item>
      <title>How to Rank #1 on Google Using AI | Tom Winter</title>
      <description>In this episode of The AI Report, Liam Lawson sits down with Tom Winter, co-founder of SEOwind, to explore how AI is transforming SEO, content strategy, and search rankings in 2025.

Tom breaks down how AI-powered SEO is reshaping the way businesses rank on Google—revealing the rise of AI agents, predictive keyword analysis, and automation-driven content creation. He explains why the old SEO playbook no longer works and how AI can help marketers, businesses, and content creators stay ahead in an ever-changing search landscape.

From leveraging AI for better keyword research to automating content workflows that actually rank, this episode is packed with actionable strategies. Tom also dives into Google’s AI-driven updates, the future of AI-powered search engines like Perplexity, and why authority-building is more crucial than ever.

But it’s not just about rankings—this episode also explores the impact of AI on jobs, whether junior developers and SEO specialists are becoming obsolete, and why businesses that fail to integrate AI will struggle to compete.

Want to future-proof your SEO strategy, rank higher, and maximize organic traffic with AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights! 


Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/


(00:00) Preview
(00:33) AI &amp; SEO in 2025  
(04:30) AI-Powered Content Creation
(06:15) AI Workflows vs. AI Agents
(09:48) Will AI Replace SEO Experts?  
(13:26) How SEOwind Uses AI to Automate SEO Research  
(15:19) Understanding Google Search Console Data with AI  
(19:13) The Role of AI in Google’s Search Rankings  
(25:41) Google’s Algorithm Updates &amp; How to Adapt  
(27:02) How to Build SEO Trust  
(31:36) AI Search vs. Traditional SEO 
(34:49) AI &amp; SEO Best Practices 
(38:56) Guide to Mastering AI SEO  
(44:03) The Impact of AI on Business &amp; Job Markets  
(46:09) Why Businesses MUST Adopt AI to Survive  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 14 Feb 2025 09:09:51 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1a5fdbe0-34de-11f1-8875-9f2a9ec1de41/image/ccac86499e652a62e0318a6646bdb1c4.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Liam Lawson sits down with Tom Winter, co-founder of SEOwind, to explore how AI is transforming SEO, content strategy, and search rankings in 2025.

Tom breaks down how AI-powered SEO is reshaping the way businesses rank on Google—revealing the rise of AI agents, predictive keyword analysis, and automation-driven content creation. He explains why the old SEO playbook no longer works and how AI can help marketers, businesses, and content creators stay ahead in an ever-changing search landscape.

From leveraging AI for better keyword research to automating content workflows that actually rank, this episode is packed with actionable strategies. Tom also dives into Google’s AI-driven updates, the future of AI-powered search engines like Perplexity, and why authority-building is more crucial than ever.

But it’s not just about rankings—this episode also explores the impact of AI on jobs, whether junior developers and SEO specialists are becoming obsolete, and why businesses that fail to integrate AI will struggle to compete.

Want to future-proof your SEO strategy, rank higher, and maximize organic traffic with AI?

Tune in now! Don’t forget to like, comment, and subscribe for more expert insights! 


Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/


(00:00) Preview
(00:33) AI &amp; SEO in 2025  
(04:30) AI-Powered Content Creation
(06:15) AI Workflows vs. AI Agents
(09:48) Will AI Replace SEO Experts?  
(13:26) How SEOwind Uses AI to Automate SEO Research  
(15:19) Understanding Google Search Console Data with AI  
(19:13) The Role of AI in Google’s Search Rankings  
(25:41) Google’s Algorithm Updates &amp; How to Adapt  
(27:02) How to Build SEO Trust  
(31:36) AI Search vs. Traditional SEO 
(34:49) AI &amp; SEO Best Practices 
(38:56) Guide to Mastering AI SEO  
(44:03) The Impact of AI on Business &amp; Job Markets  
(46:09) Why Businesses MUST Adopt AI to Survive  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of <em>The AI Report</em>, Liam Lawson sits down with <strong>Tom Winter</strong>, co-founder of <strong>SEOwind</strong>, to explore how AI is transforming <strong>SEO, content strategy, and search rankings</strong> in 2025.</p><p><br></p><p>Tom breaks down how <strong>AI-powered SEO</strong> is reshaping the way businesses rank on Google—revealing the <strong>rise of AI agents, predictive keyword analysis, and automation-driven content creation</strong>. He explains why the old SEO playbook no longer works and how <strong>AI can help marketers, businesses, and content creators stay ahead</strong> in an ever-changing search landscape.</p><p><br></p><p>From <strong>leveraging AI for better keyword research</strong> to <strong>automating content workflows</strong> that actually rank, this episode is packed with actionable strategies. Tom also dives into <strong>Google’s AI-driven updates, the future of AI-powered search engines like Perplexity, and why authority-building is more crucial than ever.</strong></p><p><br></p><p>But it’s not just about rankings—this episode also explores the <strong>impact of AI on jobs</strong>, whether junior developers and SEO specialists are becoming obsolete, and why businesses that fail to integrate AI will struggle to compete.</p><p><br></p><p><strong>Want to future-proof your SEO strategy, rank higher, and maximize organic traffic with AI?</strong></p><p><br></p><p><strong>Tune in now!</strong> Don’t forget to <strong>like, comment, and subscribe</strong> for more expert insights! </p><p><br></p><p><br></p><p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p><p><br></p><p><br></p><p>(00:00) Preview</p><p>(00:33) AI &amp; SEO in 2025  </p><p>(04:30) AI-Powered Content Creation</p><p>(06:15) AI Workflows vs. AI Agents</p><p>(09:48) Will AI Replace SEO Experts?  </p><p>(13:26) How SEOwind Uses AI to Automate SEO Research  </p><p>(15:19) Understanding Google Search Console Data with AI  </p><p>(19:13) The Role of AI in Google’s Search Rankings  </p><p>(25:41) Google’s Algorithm Updates &amp; How to Adapt  </p><p>(27:02) How to Build SEO Trust  </p><p>(31:36) AI Search vs. Traditional SEO </p><p>(34:49) AI &amp; SEO Best Practices </p><p>(38:56) Guide to Mastering AI SEO  </p><p>(44:03) The Impact of AI on Business &amp; Job Markets  </p><p>(46:09) Why Businesses MUST Adopt AI to Survive  </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3088</itunes:duration>
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    </item>
    <item>
      <title>How to Automate &amp; Scale Your Business with AI (Step-by-Step Guide)</title>
      <description>AI is Reshaping Business—Here’s What You Need to Know



In this episode of The AI Report, Liam Lawson sits down with Isar Meitis, founder of Multiplai.ai, to explore how AI is revolutionizing business strategy, automation, and decision-making.



Isar shares how AI adoption has evolved from 2024 to 2025—highlighting the rise of AI agents, enhanced large language models, and the infrastructure making AI more accessible than ever. He breaks down how businesses can strategically integrate AI to increase revenue, streamline operations, and eliminate tedious tasks.



From optimizing workflows to leveraging AI-powered data analytics, this conversation dives into the practical applications that are driving real impact across industries. Isar also reveals why businesses fail at AI adoption, how to get leadership buy-in, and why technical debt is one of the biggest roadblocks companies face.



But it’s not just about automation—this episode tackles the deeper implications of AI on the workforce, ethical concerns around AI-generated content, and the future of work in an era where AI is rapidly replacing jobs.



Want to learn how to stay ahead, implement AI effectively, and make sure your business doesn’t fall behind?



Tune in now and don’t forget to like, comment, and subscribe for more expert insights!





Use promo code 'THEAIREPORT' for $100 off on Multplai.ai’s Gen AI Business Transformation Course: https://multiplai.ai/ai-course



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/





(00:00) Preview

(00:49) The Evolution of AI 

(02:42) The Three Key Changes in AI Adoption  

(07:58) AI’s Role in Business Efficiency

(12:55) Why AI Won’t Replace Humans Yet

(15:42) The Rise of Generic AI Content  

(19:26) AI’s Role in Fixing Legacy Systems  

(22:28) Data Lakes &amp; AI-Powered Business Insights  

(24:52) How to Successfully Implement AI in Your Business  

(28:44) The Role of Leadership in AI Adoption  

(32:00) The Best AI Tools for Automation &amp; Productivity  

(35:16) The Future of AI in Data Research &amp; Analysis  

(38:07) AI-Powered Data Analysis

(42:30) AI Agents &amp; Business Automation  

(46:55) What Makes the Best AI Entrepreneurs Stand Out?  

(49:42) The Most Disruptive AI Strategy 

(54:28) Ethical AI – The Biggest Dilemmas Businesses Face  

(57:19) AI &amp; Data Privacy 

(01:06:17) Why Ignoring AI is a Huge Mistake  



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 07 Feb 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ad3eb48-34de-11f1-8875-23a84e704602/image/32eac830e3057fad2310c427e9dbad1d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>AI is Reshaping Business—Here’s What You Need to Know



In this episode of The AI Report, Liam Lawson sits down with Isar Meitis, founder of Multiplai.ai, to explore how AI is revolutionizing business strategy, automation, and decision-making.



Isar shares how AI adoption has evolved from 2024 to 2025—highlighting the rise of AI agents, enhanced large language models, and the infrastructure making AI more accessible than ever. He breaks down how businesses can strategically integrate AI to increase revenue, streamline operations, and eliminate tedious tasks.



From optimizing workflows to leveraging AI-powered data analytics, this conversation dives into the practical applications that are driving real impact across industries. Isar also reveals why businesses fail at AI adoption, how to get leadership buy-in, and why technical debt is one of the biggest roadblocks companies face.



But it’s not just about automation—this episode tackles the deeper implications of AI on the workforce, ethical concerns around AI-generated content, and the future of work in an era where AI is rapidly replacing jobs.



Want to learn how to stay ahead, implement AI effectively, and make sure your business doesn’t fall behind?



Tune in now and don’t forget to like, comment, and subscribe for more expert insights!





Use promo code 'THEAIREPORT' for $100 off on Multplai.ai’s Gen AI Business Transformation Course: https://multiplai.ai/ai-course



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/





(00:00) Preview

(00:49) The Evolution of AI 

(02:42) The Three Key Changes in AI Adoption  

(07:58) AI’s Role in Business Efficiency

(12:55) Why AI Won’t Replace Humans Yet

(15:42) The Rise of Generic AI Content  

(19:26) AI’s Role in Fixing Legacy Systems  

(22:28) Data Lakes &amp; AI-Powered Business Insights  

(24:52) How to Successfully Implement AI in Your Business  

(28:44) The Role of Leadership in AI Adoption  

(32:00) The Best AI Tools for Automation &amp; Productivity  

(35:16) The Future of AI in Data Research &amp; Analysis  

(38:07) AI-Powered Data Analysis

(42:30) AI Agents &amp; Business Automation  

(46:55) What Makes the Best AI Entrepreneurs Stand Out?  

(49:42) The Most Disruptive AI Strategy 

(54:28) Ethical AI – The Biggest Dilemmas Businesses Face  

(57:19) AI &amp; Data Privacy 

(01:06:17) Why Ignoring AI is a Huge Mistake  



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>AI is Reshaping Business—Here’s What You Need to Know</strong></p>
<p><br></p>
<p>In this episode of <em>The AI Report</em>, Liam Lawson sits down with Isar Meitis, founder of Multiplai.ai, to explore how AI is revolutionizing business strategy, automation, and decision-making.</p>
<p><br></p>
<p>Isar shares how AI adoption has evolved from 2024 to 2025—highlighting the rise of AI agents, enhanced large language models, and the infrastructure making AI more accessible than ever. He breaks down how businesses can strategically integrate AI to increase revenue, streamline operations, and eliminate tedious tasks.</p>
<p><br></p>
<p>From optimizing workflows to leveraging AI-powered data analytics, this conversation dives into the practical applications that are driving real impact across industries. Isar also reveals why businesses fail at AI adoption, how to get leadership buy-in, and why technical debt is one of the biggest roadblocks companies face.</p>
<p><br></p>
<p>But it’s not just about automation—this episode tackles the deeper implications of AI on the workforce, ethical concerns around AI-generated content, and the future of work in an era where AI is rapidly replacing jobs.</p>
<p><br></p>
<p>Want to learn how to stay ahead, implement AI effectively, and make sure your business doesn’t fall behind?</p>
<p><br></p>
<p>Tune in now and don’t forget to like, comment, and subscribe for more expert insights!</p>
<p><br></p>
<p><br></p>
<p>Use promo code 'THEAIREPORT' for $100 off on Multplai.ai’s Gen AI Business Transformation Course: <a href="https://multiplai.ai/ai-course">https://multiplai.ai/ai-course</a></p>
<p><br></p>
<p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p>
<p><br></p>
<p><br></p>
<p>(00:00) Preview</p>
<p>(00:49) The Evolution of AI </p>
<p>(02:42) The Three Key Changes in AI Adoption  </p>
<p>(07:58) AI’s Role in Business Efficiency</p>
<p>(12:55) Why AI Won’t Replace Humans Yet</p>
<p>(15:42) The Rise of Generic AI Content  </p>
<p>(19:26) AI’s Role in Fixing Legacy Systems  </p>
<p>(22:28) Data Lakes &amp; AI-Powered Business Insights  </p>
<p>(24:52) How to Successfully Implement AI in Your Business  </p>
<p>(28:44) The Role of Leadership in AI Adoption  </p>
<p>(32:00) The Best AI Tools for Automation &amp; Productivity  </p>
<p>(35:16) The Future of AI in Data Research &amp; Analysis  </p>
<p>(38:07) AI-Powered Data Analysis</p>
<p>(42:30) AI Agents &amp; Business Automation  </p>
<p>(46:55) What Makes the Best AI Entrepreneurs Stand Out?  </p>
<p>(49:42) The Most Disruptive AI Strategy </p>
<p>(54:28) Ethical AI – The Biggest Dilemmas Businesses Face  </p>
<p>(57:19) AI &amp; Data Privacy </p>
<p>(01:06:17) Why Ignoring AI is a Huge Mistake  </p>
<p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4391</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
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      <enclosure url="https://traffic.megaphone.fm/TPG3398789463.mp3?updated=1776343320" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How to Use AI to Grow on LinkedIn with Ruben Hassid</title>
      <description>In this episode of The AI Tool Report, Liam Lawson sits down with Ruben Hassid, founder of EasyGen, to explore how AI is disrupting content creation and changing LinkedIn strategy for professionals.



Ruben shares his journey from ghostwriting in fintech to building an AI-powered content engine that helps users create high-quality LinkedIn posts at scale. He reveals how AI is not replacing creators—but making high standards more essential than ever. From leveraging AI to refine messaging to using automation for content ideation, this episode dives deep into how AI is changing the way people build their online presence.



Discover how AI tools are streamlining content creation, optimizing engagement, and giving professionals a competitive edge on LinkedIn. Ruben also breaks down the biggest mistakes people make with AI-generated content, why most AI-written posts fail to resonate, and how to use AI strategically to enhance (not replace) human creativity.



This conversation unpacks the future of AI-driven content, the shift towards freelancing and personal branding, and why mastering AI now is critical for staying ahead in the creator economy.



Want to learn how to use AI to dominate LinkedIn and scale your content faster?



Tune in now and don’t forget to like, comment, and subscribe for more expert insights!





Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/



Connect with Ruben: https://www.linkedin.com/ruben-hassid/





(00:00) AI’s Impact on Content Creation  

(02:29) The Importance of Taste &amp; Experience in AI Content  

(05:22) How Ruben Uses AI to 10X LinkedIn Growth  

(09:07) Will AI Replace Jobs?

(14:46) AI for Sales, Marketing, &amp; Content Creation  

(15:42) What is EasyGen?

(17:41) Why LinkedIn is the #1 Platform for AI Growth  

(21:26) How EasyGen Generates LinkedIn Posts  

(24:05) AI Writing Process Explained

(27:16) EasyGen’s Mission &amp; Future  

(33:40) How to Grow on LinkedIn in 2025  

(37:02) The #1 Strategy for LinkedIn Growth with AI  

(41:18) Ruben’s Journey

(46:10) Why Ruben Chose to Build an AI Startup 

(50:37) AI’s Role in Personal Branding

(52:21) How Ruben Thinks About His AI Legacy  

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 31 Jan 2025 10:46:12 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1b4066ce-34de-11f1-8875-77dd2abf63a8/image/2670ef5d00db3511401f876de618c41c.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Tool Report, Liam Lawson sits down with Ruben Hassid, founder of EasyGen, to explore how AI is disrupting content creation and changing LinkedIn strategy for professionals.



Ruben shares his journey from ghostwriting in fintech to building an AI-powered content engine that helps users create high-quality LinkedIn posts at scale. He reveals how AI is not replacing creators—but making high standards more essential than ever. From leveraging AI to refine messaging to using automation for content ideation, this episode dives deep into how AI is changing the way people build their online presence.



Discover how AI tools are streamlining content creation, optimizing engagement, and giving professionals a competitive edge on LinkedIn. Ruben also breaks down the biggest mistakes people make with AI-generated content, why most AI-written posts fail to resonate, and how to use AI strategically to enhance (not replace) human creativity.



This conversation unpacks the future of AI-driven content, the shift towards freelancing and personal branding, and why mastering AI now is critical for staying ahead in the creator economy.



Want to learn how to use AI to dominate LinkedIn and scale your content faster?



Tune in now and don’t forget to like, comment, and subscribe for more expert insights!





Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/



Connect with Ruben: https://www.linkedin.com/ruben-hassid/





(00:00) AI’s Impact on Content Creation  

(02:29) The Importance of Taste &amp; Experience in AI Content  

(05:22) How Ruben Uses AI to 10X LinkedIn Growth  

(09:07) Will AI Replace Jobs?

(14:46) AI for Sales, Marketing, &amp; Content Creation  

(15:42) What is EasyGen?

(17:41) Why LinkedIn is the #1 Platform for AI Growth  

(21:26) How EasyGen Generates LinkedIn Posts  

(24:05) AI Writing Process Explained

(27:16) EasyGen’s Mission &amp; Future  

(33:40) How to Grow on LinkedIn in 2025  

(37:02) The #1 Strategy for LinkedIn Growth with AI  

(41:18) Ruben’s Journey

(46:10) Why Ruben Chose to Build an AI Startup 

(50:37) AI’s Role in Personal Branding

(52:21) How Ruben Thinks About His AI Legacy  

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of <em>The AI Tool Report</em>, Liam Lawson sits down with Ruben Hassid, founder of EasyGen, to explore how AI is disrupting content creation and changing LinkedIn strategy for professionals.</p>
<p><br></p>
<p>Ruben shares his journey from ghostwriting in fintech to building an AI-powered content engine that helps users create high-quality LinkedIn posts at scale. He reveals how AI is not replacing creators—but making high standards more essential than ever. From leveraging AI to refine messaging to using automation for content ideation, this episode dives deep into how AI is changing the way people build their online presence.</p>
<p><br></p>
<p>Discover how AI tools are streamlining content creation, optimizing engagement, and giving professionals a competitive edge on LinkedIn. Ruben also breaks down the biggest mistakes people make with AI-generated content, why most AI-written posts fail to resonate, and how to use AI strategically to enhance (not replace) human creativity.</p>
<p><br></p>
<p>This conversation unpacks the future of AI-driven content, the shift towards freelancing and personal branding, and why mastering AI now is critical for staying ahead in the creator economy.</p>
<p><br></p>
<p>Want to learn how to use AI to dominate LinkedIn and scale your content faster?</p>
<p><br></p>
<p>Tune in now and don’t forget to like, comment, and subscribe for more expert insights!</p>
<p><br></p>
<p><br></p>
<p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p>
<p><br></p>
<p>Connect with Ruben: <a href="https://www.linkedin.com/in/ruben-hassid/">https://www.linkedin.com/ruben-hassid/</a></p>
<p><br></p>
<p><br></p>
<p>(00:00) AI’s Impact on Content Creation  </p>
<p>(02:29) The Importance of Taste &amp; Experience in AI Content  </p>
<p>(05:22) How Ruben Uses AI to 10X LinkedIn Growth  </p>
<p>(09:07) Will AI Replace Jobs?</p>
<p>(14:46) AI for Sales, Marketing, &amp; Content Creation  </p>
<p>(15:42) What is EasyGen?</p>
<p>(17:41) Why LinkedIn is the #1 Platform for AI Growth  </p>
<p>(21:26) How EasyGen Generates LinkedIn Posts  </p>
<p>(24:05) AI Writing Process Explained</p>
<p>(27:16) EasyGen’s Mission &amp; Future  </p>
<p>(33:40) How to Grow on LinkedIn in 2025  </p>
<p>(37:02) The #1 Strategy for LinkedIn Growth with AI  </p>
<p>(41:18) Ruben’s Journey</p>
<p>(46:10) Why Ruben Chose to Build an AI Startup </p>
<p>(50:37) AI’s Role in Personal Branding</p>
<p>(52:21) How Ruben Thinks About His AI Legacy  </p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3473</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bf2af6d9-8ca7-470c-9ac7-484aa4e45323]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2117349374.mp3?updated=1776343310" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How to Use AI to Increase Your Sales and Revenue | Jérémy Grandillon</title>
      <description>In this episode of The AI Report, Liam Lawson sits down with Jérémy Grandillon, founder of TC9, to explore how AI is disrupting the sales landscape and changing how businesses approach growth.



Jérémy shares his journey from corporate sales to building an AI-driven agency that automates prospecting, personalizes outreach, and drives meaningful results. From using AI to handle the grunt work of lead generation to leveraging LinkedIn for strategic content creation, this episode dives into how AI is empowering sales teams to focus on what matters most—building trust, closing deals, and scaling with impact.



Discover how AI tools are revolutionizing B2B sales by simplifying complex workflows, increasing efficiency, and delivering real results. Jérémy also shares the story behind TC9’s mission to merge advanced AI capabilities with human creativity, creating tailored strategies that meet the unique needs of clients.



This conversation breaks down how businesses can use AI to reduce manual labor, boost productivity, and accelerate growth, while still maintaining a personal touch in their sales approach.



Curious about how AI can help you close more deals and increase revenue?



Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!





Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/



Check out TC9, AI systems that book meetings for you https://tc9.ai/

Connect with Jérémy: https://www.linkedin.com/in/jeremygrandillon/





(00:00) Introducing Jérémy Grandillon  

(02:34) AI’s Role in Sales Prospecting  

(05:32) How AI Evolved in 2025  

(09:09) Jérémy’s Journey to Entrepreneurship  

(12:50) Allbound Sales Explained  

(17:08) Inbound vs. Outbound Sales  

(22:44) US vs. European Sales Approaches  

(24:29) Pricing Strategies That Work  

(27:16) From Solopreneur to Agency  

(32:27) AI and Human Synergy in Sales  

(36:18) Building A Solid Offer

(41:22) Patience and Resilience in Sales  

(46:00) Discipline and Health for Success  

(52:05) Planning for Long Term Business Success

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 24 Jan 2025 08:41:57 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ba9c718-34de-11f1-8875-b3ae91aec10a/image/5038a4067ccfdf912e3da2b3e9fe5e97.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Liam Lawson sits down with Jérémy Grandillon, founder of TC9, to explore how AI is disrupting the sales landscape and changing how businesses approach growth.



Jérémy shares his journey from corporate sales to building an AI-driven agency that automates prospecting, personalizes outreach, and drives meaningful results. From using AI to handle the grunt work of lead generation to leveraging LinkedIn for strategic content creation, this episode dives into how AI is empowering sales teams to focus on what matters most—building trust, closing deals, and scaling with impact.



Discover how AI tools are revolutionizing B2B sales by simplifying complex workflows, increasing efficiency, and delivering real results. Jérémy also shares the story behind TC9’s mission to merge advanced AI capabilities with human creativity, creating tailored strategies that meet the unique needs of clients.



This conversation breaks down how businesses can use AI to reduce manual labor, boost productivity, and accelerate growth, while still maintaining a personal touch in their sales approach.



Curious about how AI can help you close more deals and increase revenue?



Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!





Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/



Check out TC9, AI systems that book meetings for you https://tc9.ai/

Connect with Jérémy: https://www.linkedin.com/in/jeremygrandillon/





(00:00) Introducing Jérémy Grandillon  

(02:34) AI’s Role in Sales Prospecting  

(05:32) How AI Evolved in 2025  

(09:09) Jérémy’s Journey to Entrepreneurship  

(12:50) Allbound Sales Explained  

(17:08) Inbound vs. Outbound Sales  

(22:44) US vs. European Sales Approaches  

(24:29) Pricing Strategies That Work  

(27:16) From Solopreneur to Agency  

(32:27) AI and Human Synergy in Sales  

(36:18) Building A Solid Offer

(41:22) Patience and Resilience in Sales  

(46:00) Discipline and Health for Success  

(52:05) Planning for Long Term Business Success

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of The AI Report, Liam Lawson sits down with Jérémy Grandillon, founder of TC9, to explore how AI is disrupting the sales landscape and changing how businesses approach growth.</p>
<p><br></p>
<p>Jérémy shares his journey from corporate sales to building an AI-driven agency that automates prospecting, personalizes outreach, and drives meaningful results. From using AI to handle the grunt work of lead generation to leveraging LinkedIn for strategic content creation, this episode dives into how AI is empowering sales teams to focus on what matters most—building trust, closing deals, and scaling with impact.</p>
<p><br></p>
<p>Discover how AI tools are revolutionizing B2B sales by simplifying complex workflows, increasing efficiency, and delivering real results. Jérémy also shares the story behind TC9’s mission to merge advanced AI capabilities with human creativity, creating tailored strategies that meet the unique needs of clients.</p>
<p><br></p>
<p>This conversation breaks down how businesses can use AI to reduce manual labor, boost productivity, and accelerate growth, while still maintaining a personal touch in their sales approach.</p>
<p><br></p>
<p>Curious about how AI can help you close more deals and increase revenue?</p>
<p><br></p>
<p>Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!</p>
<p><br></p>
<p><br></p>
<p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p>
<p><br></p>
<p>Check out TC9, AI systems that book meetings for you <a href="https://tc9.ai/">https://tc9.ai/</a></p>
<p>Connect with Jérémy: <a href="https://www.linkedin.com/in/jeremygrandillon/">https://www.linkedin.com/in/jeremygrandillon/</a></p>
<p><br></p>
<p><br></p>
<p>(00:00) Introducing Jérémy Grandillon  </p>
<p>(02:34) AI’s Role in Sales Prospecting  </p>
<p>(05:32) How AI Evolved in 2025  </p>
<p>(09:09) Jérémy’s Journey to Entrepreneurship  </p>
<p>(12:50) Allbound Sales Explained  </p>
<p>(17:08) Inbound vs. Outbound Sales  </p>
<p>(22:44) US vs. European Sales Approaches  </p>
<p>(24:29) Pricing Strategies That Work  </p>
<p>(27:16) From Solopreneur to Agency  </p>
<p>(32:27) AI and Human Synergy in Sales  </p>
<p>(36:18) Building A Solid Offer</p>
<p>(41:22) Patience and Resilience in Sales  </p>
<p>(46:00) Discipline and Health for Success  </p>
<p>(52:05) Planning for Long Term Business Success</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3387</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b42314c0-98bc-47c9-a0c7-1f116be82915]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6995663378.mp3?updated=1776343223" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Why AI Agents Will Take Over in 2025</title>
      <description>In this episode of The AI Report, Liam Lawson sits down with Jake George, founder of Agentic Brain, to explore the world of AI agents—digital employees transforming how businesses operate.



Jake shares his experience building AI-powered tools that automate repetitive tasks, optimize sales processes, and supercharge business efficiency. From explaining how AI agents differ from standard LLMs like ChatGPT to breaking down their integration into everyday workflows, this episode is a masterclass in understanding the next big thing in the world of AI.



Learn how businesses can reduce costs, boost productivity, and free up time for what truly matters—building relationships, scaling operations, and driving creativity. Jake also shares the story behind Agentic Brain’s mission to combine sales expertise with AI technology, creating solutions that deliver tangible results for their clients.



This conversation unpacks how AI agents are shaping the future of work, why 2025 is set to be their breakout year, and the critical role of designing effective processes to unlock their full potential.



Curious about the future of AI and how to leverage it in your business?



Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/

Connect with Jake: https://www.linkedin.com/in/jake-george-ai-genie



(00:00) Introduction: Exploring the Future of AI Agents  

(01:35) Meet Jake George: Founder of Agentic Brain  

(03:50) What Are AI Agents? 

(06:42) Tools to Build AI Agents Without Coding  

(09:20) How AI Agents Work

(12:42) How to Train AI Agents

(17:24) The Role of Python and Other Tools  

(20:31) No-Code AI Agent Development  

(23:20) Why Processes Define AI Agent Success  

(27:03) Agentic Brain Origin Story

(30:19) Combining Sales Expertise with AI

(33:35) Automating Lead Qualification  

(37:06) Advanced AI Agent Tasks

(39:17) The Future of AI Agents in 2025

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 17 Jan 2025 12:30:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c1422e8-34de-11f1-8875-e79f836e6840/image/fbd5910551487ecd82c570b863b57799.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Liam Lawson sits down with Jake George, founder of Agentic Brain, to explore the world of AI agents—digital employees transforming how businesses operate.



Jake shares his experience building AI-powered tools that automate repetitive tasks, optimize sales processes, and supercharge business efficiency. From explaining how AI agents differ from standard LLMs like ChatGPT to breaking down their integration into everyday workflows, this episode is a masterclass in understanding the next big thing in the world of AI.



Learn how businesses can reduce costs, boost productivity, and free up time for what truly matters—building relationships, scaling operations, and driving creativity. Jake also shares the story behind Agentic Brain’s mission to combine sales expertise with AI technology, creating solutions that deliver tangible results for their clients.



This conversation unpacks how AI agents are shaping the future of work, why 2025 is set to be their breakout year, and the critical role of designing effective processes to unlock their full potential.



Curious about the future of AI and how to leverage it in your business?



Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/

Connect with Jake: https://www.linkedin.com/in/jake-george-ai-genie



(00:00) Introduction: Exploring the Future of AI Agents  

(01:35) Meet Jake George: Founder of Agentic Brain  

(03:50) What Are AI Agents? 

(06:42) Tools to Build AI Agents Without Coding  

(09:20) How AI Agents Work

(12:42) How to Train AI Agents

(17:24) The Role of Python and Other Tools  

(20:31) No-Code AI Agent Development  

(23:20) Why Processes Define AI Agent Success  

(27:03) Agentic Brain Origin Story

(30:19) Combining Sales Expertise with AI

(33:35) Automating Lead Qualification  

(37:06) Advanced AI Agent Tasks

(39:17) The Future of AI Agents in 2025

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of The AI Report, Liam Lawson sits down with Jake George, founder of Agentic Brain, to explore the world of AI agents—digital employees transforming how businesses operate.</p>
<p><br></p>
<p>Jake shares his experience building AI-powered tools that automate repetitive tasks, optimize sales processes, and supercharge business efficiency. From explaining how AI agents differ from standard LLMs like ChatGPT to breaking down their integration into everyday workflows, this episode is a masterclass in understanding the next big thing in the world of AI.</p>
<p><br></p>
<p>Learn how businesses can reduce costs, boost productivity, and free up time for what truly matters—building relationships, scaling operations, and driving creativity. Jake also shares the story behind Agentic Brain’s mission to combine sales expertise with AI technology, creating solutions that deliver tangible results for their clients.</p>
<p><br></p>
<p>This conversation unpacks how AI agents are shaping the future of work, why 2025 is set to be their breakout year, and the critical role of designing effective processes to unlock their full potential.</p>
<p><br></p>
<p>Curious about the future of AI and how to leverage it in your business?</p>
<p><br></p>
<p>Tune in now and don’t forget to like, comment, and subscribe for more conversations like this!</p>
<p><br></p>
<p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p>
<p>Connect with Jake: <a href="https://www.linkedin.com/in/jake-george-ai-genie">https://www.linkedin.com/in/jake-george-ai-genie</a></p>
<p><br></p>
<p>(00:00) Introduction: Exploring the Future of AI Agents  </p>
<p>(01:35) Meet Jake George: Founder of Agentic Brain  </p>
<p>(03:50) What Are AI Agents? </p>
<p>(06:42) Tools to Build AI Agents Without Coding  </p>
<p>(09:20) How AI Agents Work</p>
<p>(12:42) How to Train AI Agents</p>
<p>(17:24) The Role of Python and Other Tools  </p>
<p>(20:31) No-Code AI Agent Development  </p>
<p>(23:20) Why Processes Define AI Agent Success  </p>
<p>(27:03) Agentic Brain Origin Story</p>
<p>(30:19) Combining Sales Expertise with AI</p>
<p>(33:35) Automating Lead Qualification  </p>
<p>(37:06) Advanced AI Agent Tasks</p>
<p>(39:17) The Future of AI Agents in 2025</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2511</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[533faebd-c632-4612-ac17-2961f6b89a43]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4431350199.mp3?updated=1776343174" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>How AI Will Completely Change Startups in 2025 | Michael Houck </title>
      <description>In this episode of The AI Report, Liam Lawson sits down with Michael Houck, founder of Megaphone and the Founding Journey newsletter, to discuss how AI is disrupting the startup ecosystem.



Michael shares his journey from building Launch House, a global community for founders created during the pandemic, to scaling ventures using AI-driven strategies.



Today, Michael leverages AI to redefine how startups operate. By automating engineering tasks and streamlining processes, founders can now build leaner, more agile businesses without the need for massive teams or traditional venture capital. 



This conversation explores how AI is empowering founders to focus on strategy, creativity, and growth, marking a new era for entrepreneurship.



Smash that like button for more episodes like this!



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/

Connect with Michael: https://www.linkedin.com/in/michael-houck/





(00:00) Intro

(00:32) Meet Michael Houck

(02:27) Raising Venture Capital with Andreessen Horowitz

(04:40) The Founding Journey Newsletter

(07:17) AI's Rise and Impact on Startups

(10:28) Automating Engineering and Marketing

(13:33) The Most Valuable Skills for Founders Today

(17:34) The Power of Community in Entrepreneurship

(19:58) Why Start a Podcast?

(22:19) Common Traits of Successful Entrepreneurs

(27:36) Knowing When to Quit

(28:46) What is Megaphone? 

(30:49) Using AI Internally at Megaphone

(33:10) The Future of AI and Social Interactions

(35:29) Michael's 2025 Vision

(37:52) Advice for Founders in the AI Space

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 10 Jan 2025 09:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1c89bf94-34de-11f1-8875-bff2d53c9cd5/image/2f499908f2d24fd800ccaefe953e2eb0.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode of The AI Report, Liam Lawson sits down with Michael Houck, founder of Megaphone and the Founding Journey newsletter, to discuss how AI is disrupting the startup ecosystem.



Michael shares his journey from building Launch House, a global community for founders created during the pandemic, to scaling ventures using AI-driven strategies.



Today, Michael leverages AI to redefine how startups operate. By automating engineering tasks and streamlining processes, founders can now build leaner, more agile businesses without the need for massive teams or traditional venture capital. 



This conversation explores how AI is empowering founders to focus on strategy, creativity, and growth, marking a new era for entrepreneurship.



Smash that like button for more episodes like this!



Learn AI in Just 5 Minutes Per Day: https://www.theaireport.ai/

Connect with Michael: https://www.linkedin.com/in/michael-houck/





(00:00) Intro

(00:32) Meet Michael Houck

(02:27) Raising Venture Capital with Andreessen Horowitz

(04:40) The Founding Journey Newsletter

(07:17) AI's Rise and Impact on Startups

(10:28) Automating Engineering and Marketing

(13:33) The Most Valuable Skills for Founders Today

(17:34) The Power of Community in Entrepreneurship

(19:58) Why Start a Podcast?

(22:19) Common Traits of Successful Entrepreneurs

(27:36) Knowing When to Quit

(28:46) What is Megaphone? 

(30:49) Using AI Internally at Megaphone

(33:10) The Future of AI and Social Interactions

(35:29) Michael's 2025 Vision

(37:52) Advice for Founders in the AI Space

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode of The AI Report, Liam Lawson sits down with Michael Houck, founder of Megaphone and the Founding Journey newsletter, to discuss how AI is disrupting the startup ecosystem.</p>
<p><br></p>
<p>Michael shares his journey from building Launch House, a global community for founders created during the pandemic, to scaling ventures using AI-driven strategies.</p>
<p><br></p>
<p>Today, Michael leverages AI to redefine how startups operate. By automating engineering tasks and streamlining processes, founders can now build leaner, more agile businesses without the need for massive teams or traditional venture capital. </p>
<p><br></p>
<p>This conversation explores how AI is empowering founders to focus on strategy, creativity, and growth, marking a new era for entrepreneurship.</p>
<p><br></p>
<p>Smash that like button for more episodes like this!</p>
<p><br></p>
<p>Learn AI in Just 5 Minutes Per Day: <a href="https://www.theaireport.ai/">https://www.theaireport.ai/</a></p>
<p>Connect with Michael: <a href="https://www.linkedin.com/in/michael-houck/">https://www.linkedin.com/in/michael-houck/</a></p>
<p><br></p>
<p><br></p>
<p>(00:00) Intro</p>
<p>(00:32) Meet Michael Houck</p>
<p>(02:27) Raising Venture Capital with Andreessen Horowitz</p>
<p>(04:40) The Founding Journey Newsletter</p>
<p>(07:17) AI's Rise and Impact on Startups</p>
<p>(10:28) Automating Engineering and Marketing</p>
<p>(13:33) The Most Valuable Skills for Founders Today</p>
<p>(17:34) The Power of Community in Entrepreneurship</p>
<p>(19:58) Why Start a Podcast?</p>
<p>(22:19) Common Traits of Successful Entrepreneurs</p>
<p>(27:36) Knowing When to Quit</p>
<p>(28:46) What is Megaphone? </p>
<p>(30:49) Using AI Internally at Megaphone</p>
<p>(33:10) The Future of AI and Social Interactions</p>
<p>(35:29) Michael's 2025 Vision</p>
<p>(37:52) Advice for Founders in the AI Space</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2482</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[56998e87-d9fe-40c0-bcd2-7ec8227c384f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3237975588.mp3?updated=1776343216" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>We're Rebranding (To Bring You More Practical AI Education)</title>
      <description>Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Sun, 05 Jan 2025 15:04:10 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1cf291c2-34de-11f1-8875-2f00e1ba7ed4/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2264</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[de1ce27c-4cd5-487b-84c0-0c35ab392e9e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2276754641.mp3?updated=1776343124" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Gamifying AI Learning for 4,000+ Professionals: Sooz Young’s Approach</title>
      <description>Summery

In this episode, Sooz Young shares her journey from teaching in Japan to becoming an entrepreneur focused on digital education. She discusses the importance of a digital mindset, cultural differences in education, and the role of AI in modern learning. Sooz emphasizes the need for continuous professional development (CPD) and how businesses must adapt to the changing landscape of technology. The conversation also highlights the significance of interactive learning experiences and the future of AI education.

Chapters
00:00 Introduction and Background
02:02 Teaching Experience in Japan
06:19 Cultural Differences in Education
10:11 Transition from Education to Corporate Training
15:03 Shift to Entrepreneurship
19:30 Genesis of Technology Coaching
23:44 Adapting to COVID-19 and AI Education
27:07 The Rise of AI in Everyday Technology
28:32 Interactive Learning Experiences
33:05 Teaching AI and Automation
38:40 Understanding Algorithms Through Collaboration
40:33 Practical AI Training for Enterprises
44:04 Future Trends in AI and Education
50:14 Vision for 2025 and Beyond

Connect with Sooz – LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 27 Dec 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1d5e7f40-34de-11f1-8875-3f9b836cd06f/image/24436850074782c9cfc43762ea11553c.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summery

In this episode, Sooz Young shares her journey from teaching in Japan to becoming an entrepreneur focused on digital education. She discusses the importance of a digital mindset, cultural differences in education, and the role of AI in modern learning. Sooz emphasizes the need for continuous professional development (CPD) and how businesses must adapt to the changing landscape of technology. The conversation also highlights the significance of interactive learning experiences and the future of AI education.

Chapters
00:00 Introduction and Background
02:02 Teaching Experience in Japan
06:19 Cultural Differences in Education
10:11 Transition from Education to Corporate Training
15:03 Shift to Entrepreneurship
19:30 Genesis of Technology Coaching
23:44 Adapting to COVID-19 and AI Education
27:07 The Rise of AI in Everyday Technology
28:32 Interactive Learning Experiences
33:05 Teaching AI and Automation
38:40 Understanding Algorithms Through Collaboration
40:33 Practical AI Training for Enterprises
44:04 Future Trends in AI and Education
50:14 Vision for 2025 and Beyond

Connect with Sooz – LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summery</strong></p>
<p>In this episode, Sooz Young shares her journey from teaching in Japan to becoming an entrepreneur focused on digital education. She discusses the importance of a digital mindset, cultural differences in education, and the role of AI in modern learning. Sooz emphasizes the need for continuous professional development (CPD) and how businesses must adapt to the changing landscape of technology. The conversation also highlights the significance of interactive learning experiences and the future of AI education.

<strong>Chapters</strong>
00:00 Introduction and Background
02:02 Teaching Experience in Japan
06:19 Cultural Differences in Education
10:11 Transition from Education to Corporate Training
15:03 Shift to Entrepreneurship
19:30 Genesis of Technology Coaching
23:44 Adapting to COVID-19 and AI Education
27:07 The Rise of AI in Everyday Technology
28:32 Interactive Learning Experiences
33:05 Teaching AI and Automation
38:40 Understanding Algorithms Through Collaboration
40:33 Practical AI Training for Enterprises
44:04 Future Trends in AI and Education
50:14 Vision for 2025 and Beyond

<strong>Connect with Sooz</strong> – <a href="https://www.linkedin.com/in/soozyoung/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3244</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[3abc8347-26c2-4800-aa5f-45cb8faa4d40]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7542579665.mp3?updated=1776343396" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>A better alternative to AI Agents in 2025? With CEO of VISS.AI, Phillip Alm</title>
      <description>Summary

In this episode, Liam interviews Philip Alm, co-founder and CEO of Norditech and Viss.AI. They discuss Philip's entrepreneurial journey, starting from his early days programming Minecraft servers to founding Norditech, a company focused on making AI accessible for everyone. The conversation covers the challenges of starting a business, finding product-market fit, and the vision behind Norditech's automation solutions. Philip shares insights on the technical challenges of AI, the importance of user experience, and the future of AI in the business landscape. He also emphasizes the significance of team culture and the role of mentorship in growth.

Chapters
00:00 The Journey of an Entrepreneur
05:55 The Birth of Norditech AI
11:36 Finding Product-Market Fit
17:08 Technical Challenges and Solutions
22:54 The Future of AI Automation
29:41 Navigating the API Jungle
34:37 The Power of Natural Language in Automation
40:21 Building a Strong Company Culture
51:52 Predictions for the Future of AI
57:09 Advice for Aspiring Entrepreneurs



Connect with Philip – LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 20 Dec 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1dcd8b88-34de-11f1-8875-0bdd187dce2a/image/910b77ca47319e62d64a6bd026590f4a.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

In this episode, Liam interviews Philip Alm, co-founder and CEO of Norditech and Viss.AI. They discuss Philip's entrepreneurial journey, starting from his early days programming Minecraft servers to founding Norditech, a company focused on making AI accessible for everyone. The conversation covers the challenges of starting a business, finding product-market fit, and the vision behind Norditech's automation solutions. Philip shares insights on the technical challenges of AI, the importance of user experience, and the future of AI in the business landscape. He also emphasizes the significance of team culture and the role of mentorship in growth.

Chapters
00:00 The Journey of an Entrepreneur
05:55 The Birth of Norditech AI
11:36 Finding Product-Market Fit
17:08 Technical Challenges and Solutions
22:54 The Future of AI Automation
29:41 Navigating the API Jungle
34:37 The Power of Natural Language in Automation
40:21 Building a Strong Company Culture
51:52 Predictions for the Future of AI
57:09 Advice for Aspiring Entrepreneurs



Connect with Philip – LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>In this episode, Liam interviews Philip Alm, co-founder and CEO of Norditech and Viss.AI. They discuss Philip's entrepreneurial journey, starting from his early days programming Minecraft servers to founding Norditech, a company focused on making AI accessible for everyone. The conversation covers the challenges of starting a business, finding product-market fit, and the vision behind Norditech's automation solutions. Philip shares insights on the technical challenges of AI, the importance of user experience, and the future of AI in the business landscape. He also emphasizes the significance of team culture and the role of mentorship in growth.

<strong>Chapters</strong>
00:00 The Journey of an Entrepreneur
05:55 The Birth of Norditech AI
11:36 Finding Product-Market Fit
17:08 Technical Challenges and Solutions
22:54 The Future of AI Automation
29:41 Navigating the API Jungle
34:37 The Power of Natural Language in Automation
40:21 Building a Strong Company Culture
51:52 Predictions for the Future of AI
57:09 Advice for Aspiring Entrepreneurs</p>
<p><br></p>
<p>Connect with Philip – <a href="https://www.linkedin.com/in/philip-alm/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3626</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[bc334fe5-b272-43a0-9e1a-4a018ebd5f98]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6585296857.mp3?updated=1776343396" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Becoming the #1 AI Notetaker with Fathom CEO, Richard White </title>
      <description>Summary



In this episode, Liam Lawson interviews Richard White, founder and CEO of Fathom, the leading AI note-taking tool. Richard shares his entrepreneurial journey, experiences with Y Combinator, and the evolution of AI technology. He discusses the ideation process behind Fathom, its unique features, and the importance of branding. Richard also reflects on leadership, team dynamics, and the future vision for Fathom as an AI-driven platform. He emphasizes the need for cultural readiness in a rapidly changing tech landscape and offers valuable advice for young entrepreneurs.



Chapters



00:00 Introduction to Richard White and Fathom AI

03:09 Richard's Entrepreneurial Journey

06:07 Experiences at Y Combinator

09:08 The Evolution of AI and Fathom's Foundation

12:18 Building Fathom: The Ideation Process

15:01 Core Principles and Team Dynamics

18:04 Branding and Market Positioning

21:03 Future Vision for Fathom AI

28:39 The Future of Fathom: Beyond Note-Taking

32:31 Cultural Readiness in AI Development

37:05 Hiring for AI: A New Approach

37:21 Reflections on Leadership and Growth

41:23 Adapting Management Styles as Companies Grow

44:23 The Joy of Building and Creating Value

45:59 Navigating Growth: Balancing Size and Culture

52:39 Advice to My Younger Self: Trust Yourself



Connect with Richard — LinkedIn



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 22 Nov 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1e39712c-34de-11f1-8875-27544eb37090/image/0e902b10020fe7c917c35b5e45167be0.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Liam Lawson interviews Richard White, founder and CEO of Fathom, the leading AI note-taking tool. Richard shares his entrepreneurial journey, experiences with Y Combinator, and the evolution of AI technology. He discusses the ideation process behind Fathom, its unique features, and the importance of branding. Richard also reflects on leadership, team dynamics, and the future vision for Fathom as an AI-driven platform. He emphasizes the need for cultural readiness in a rapidly changing tech landscape and offers valuable advice for young entrepreneurs.



Chapters



00:00 Introduction to Richard White and Fathom AI

03:09 Richard's Entrepreneurial Journey

06:07 Experiences at Y Combinator

09:08 The Evolution of AI and Fathom's Foundation

12:18 Building Fathom: The Ideation Process

15:01 Core Principles and Team Dynamics

18:04 Branding and Market Positioning

21:03 Future Vision for Fathom AI

28:39 The Future of Fathom: Beyond Note-Taking

32:31 Cultural Readiness in AI Development

37:05 Hiring for AI: A New Approach

37:21 Reflections on Leadership and Growth

41:23 Adapting Management Styles as Companies Grow

44:23 The Joy of Building and Creating Value

45:59 Navigating Growth: Balancing Size and Culture

52:39 Advice to My Younger Self: Trust Yourself



Connect with Richard — LinkedIn



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode, Liam Lawson interviews Richard White, founder and CEO of Fathom, the leading AI note-taking tool. Richard shares his entrepreneurial journey, experiences with Y Combinator, and the evolution of AI technology. He discusses the ideation process behind Fathom, its unique features, and the importance of branding. Richard also reflects on leadership, team dynamics, and the future vision for Fathom as an AI-driven platform. He emphasizes the need for cultural readiness in a rapidly changing tech landscape and offers valuable advice for young entrepreneurs.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Introduction to Richard White and Fathom AI</p>
<p>03:09 Richard's Entrepreneurial Journey</p>
<p>06:07 Experiences at Y Combinator</p>
<p>09:08 The Evolution of AI and Fathom's Foundation</p>
<p>12:18 Building Fathom: The Ideation Process</p>
<p>15:01 Core Principles and Team Dynamics</p>
<p>18:04 Branding and Market Positioning</p>
<p>21:03 Future Vision for Fathom AI</p>
<p>28:39 The Future of Fathom: Beyond Note-Taking</p>
<p>32:31 Cultural Readiness in AI Development</p>
<p>37:05 Hiring for AI: A New Approach</p>
<p>37:21 Reflections on Leadership and Growth</p>
<p>41:23 Adapting Management Styles as Companies Grow</p>
<p>44:23 The Joy of Building and Creating Value</p>
<p>45:59 Navigating Growth: Balancing Size and Culture</p>
<p>52:39 Advice to My Younger Self: Trust Yourself</p>
<p><br></p>
<p><strong>Connect with Richard</strong> — <a href="https://www.linkedin.com/in/rrwhite/">LinkedIn</a></p>
<p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3341</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7ec4706f-3846-4b69-9f8b-de1989687ae4]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9715928068.mp3?updated=1776343381" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Hampton Founders First Employee &amp; Automation Expert Grant Hushek</title>
      <description>Summary

In this engaging conversation, Grant Hushek shares his journey from being a furnace operator in a family business to becoming an entrepreneur and owner of Grantbot Process and Consulting. He discusses the importance of responsibility, family, and the drive to create a better work-life balance. Grant reflects on his experiences at Hampton Members Club, the lessons learned from rapid growth, and the role of automation and AI in modern business. He emphasizes the need for a new definition of labor and the importance of skill development in the evolving job market. The conversation also touches on personal aspirations, future goals, and the vision for his business.



Chapters

00:00 Introduction to Grant Hushek and His Journey

03:06 From Furnace Operator to Entrepreneur

05:52 The Transition to Tech and Startups

08:44 The Importance of Responsibility and Family

11:59 Joining Hampton Members Club

14:49 The Early Days at Hampton

17:44 Lessons Learned from Chaos

20:27 The Evolution of Roles at Hampton

23:32 Transitioning to Grantbot Process and Consulting

29:15 Defining the New Labor Landscape

32:09 Live Automation Session with AI Tool Report

37:58 The Future of Work and Skill Development

41:48 Navigating Client Relationships

44:49 Choosing Industries for Automation Services

47:53 Scalability and Trust in Business

50:32 Working with Legacy Systems

53:38 Understanding Automation, AI, and AI Agents

58:30 The Future of Labor and Skill Gaps

01:02:19 Work-Life Balance and Personal Goals

01:08:02 Vision for the Future and Business Aspirations

01:13:41 Closing Thoughts and Contact Information



Connect with Grant - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 14 Nov 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ea4b680-34de-11f1-8875-03290df075e2/image/65773f26e49dba9395e95b912a35e818.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

In this engaging conversation, Grant Hushek shares his journey from being a furnace operator in a family business to becoming an entrepreneur and owner of Grantbot Process and Consulting. He discusses the importance of responsibility, family, and the drive to create a better work-life balance. Grant reflects on his experiences at Hampton Members Club, the lessons learned from rapid growth, and the role of automation and AI in modern business. He emphasizes the need for a new definition of labor and the importance of skill development in the evolving job market. The conversation also touches on personal aspirations, future goals, and the vision for his business.



Chapters

00:00 Introduction to Grant Hushek and His Journey

03:06 From Furnace Operator to Entrepreneur

05:52 The Transition to Tech and Startups

08:44 The Importance of Responsibility and Family

11:59 Joining Hampton Members Club

14:49 The Early Days at Hampton

17:44 Lessons Learned from Chaos

20:27 The Evolution of Roles at Hampton

23:32 Transitioning to Grantbot Process and Consulting

29:15 Defining the New Labor Landscape

32:09 Live Automation Session with AI Tool Report

37:58 The Future of Work and Skill Development

41:48 Navigating Client Relationships

44:49 Choosing Industries for Automation Services

47:53 Scalability and Trust in Business

50:32 Working with Legacy Systems

53:38 Understanding Automation, AI, and AI Agents

58:30 The Future of Labor and Skill Gaps

01:02:19 Work-Life Balance and Personal Goals

01:08:02 Vision for the Future and Business Aspirations

01:13:41 Closing Thoughts and Contact Information



Connect with Grant - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>In this engaging conversation, Grant Hushek shares his journey from being a furnace operator in a family business to becoming an entrepreneur and owner of Grantbot Process and Consulting. He discusses the importance of responsibility, family, and the drive to create a better work-life balance. Grant reflects on his experiences at Hampton Members Club, the lessons learned from rapid growth, and the role of automation and AI in modern business. He emphasizes the need for a new definition of labor and the importance of skill development in the evolving job market. The conversation also touches on personal aspirations, future goals, and the vision for his business.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p>00:00 Introduction to Grant Hushek and His Journey</p>
<p>03:06 From Furnace Operator to Entrepreneur</p>
<p>05:52 The Transition to Tech and Startups</p>
<p>08:44 The Importance of Responsibility and Family</p>
<p>11:59 Joining Hampton Members Club</p>
<p>14:49 The Early Days at Hampton</p>
<p>17:44 Lessons Learned from Chaos</p>
<p>20:27 The Evolution of Roles at Hampton</p>
<p>23:32 Transitioning to Grantbot Process and Consulting</p>
<p>29:15 Defining the New Labor Landscape</p>
<p>32:09 Live Automation Session with AI Tool Report</p>
<p>37:58 The Future of Work and Skill Development</p>
<p>41:48 Navigating Client Relationships</p>
<p>44:49 Choosing Industries for Automation Services</p>
<p>47:53 Scalability and Trust in Business</p>
<p>50:32 Working with Legacy Systems</p>
<p>53:38 Understanding Automation, AI, and AI Agents</p>
<p>58:30 The Future of Labor and Skill Gaps</p>
<p>01:02:19 Work-Life Balance and Personal Goals</p>
<p>01:08:02 Vision for the Future and Business Aspirations</p>
<p>01:13:41 Closing Thoughts and Contact Information</p>
<p><br></p>
<p><strong>Connect with Grant</strong> - <a href="https://www.linkedin.com/in/grant-hushek/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4695</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6d70484e-84ac-4c90-b402-506508ecf2d4]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4447958519.mp3?updated=1776343604" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Looms biggest AI competitor? With Guidde CEO Yoav Einav</title>
      <description>Summary 

In this episode of AI Tool Report Live, host Liam Lawson interviews Yoav Einav, co-founder of Guidde, a platform focused on creating efficient, scalable guides for software. They discuss Yoav's journey from his early career to becoming an entrepreneur, the significance of user-guided content in tech, and how Guidde leverages AI to simplify complex software processes. Yoav shares insights on building a customer-focused company, the role of AI in improving user onboarding, and the challenges of scaling a startup. He emphasizes the importance of adaptability, customer empathy, and the need for aspiring entrepreneurs to act and start creating.



Chapters

00:00 The Journey to Guide: A Founder's Story

05:11 Navigating Product Development: Insights and Strategies

10:16 The Evolution of Guide: From Feature to Product

15:19 Understanding Customer Needs: The Value of Communication

20:06 AI in Action: Building a Personalized Experience

25:06 The Future of Guide: Vision and Innovations

30:22 Building a Company Culture: Lessons from the Journey

35:23 Advice for Aspiring Entrepreneurs: Embracing the Challenge



Connect with Yoav - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 12 Nov 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1f0fc4d4-34de-11f1-8875-27f3d0bd9bd0/image/bc1d01ab1d9466dc01ecb87e8316d5df.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary 

In this episode of AI Tool Report Live, host Liam Lawson interviews Yoav Einav, co-founder of Guidde, a platform focused on creating efficient, scalable guides for software. They discuss Yoav's journey from his early career to becoming an entrepreneur, the significance of user-guided content in tech, and how Guidde leverages AI to simplify complex software processes. Yoav shares insights on building a customer-focused company, the role of AI in improving user onboarding, and the challenges of scaling a startup. He emphasizes the importance of adaptability, customer empathy, and the need for aspiring entrepreneurs to act and start creating.



Chapters

00:00 The Journey to Guide: A Founder's Story

05:11 Navigating Product Development: Insights and Strategies

10:16 The Evolution of Guide: From Feature to Product

15:19 Understanding Customer Needs: The Value of Communication

20:06 AI in Action: Building a Personalized Experience

25:06 The Future of Guide: Vision and Innovations

30:22 Building a Company Culture: Lessons from the Journey

35:23 Advice for Aspiring Entrepreneurs: Embracing the Challenge



Connect with Yoav - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary </strong></p>
<p>In this episode of AI Tool Report Live, host Liam Lawson interviews Yoav Einav, co-founder of Guidde, a platform focused on creating efficient, scalable guides for software. They discuss Yoav's journey from his early career to becoming an entrepreneur, the significance of user-guided content in tech, and how Guidde leverages AI to simplify complex software processes. Yoav shares insights on building a customer-focused company, the role of AI in improving user onboarding, and the challenges of scaling a startup. He emphasizes the importance of adaptability, customer empathy, and the need for aspiring entrepreneurs to act and start creating.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p>00:00 The Journey to Guide: A Founder's Story</p>
<p>05:11 Navigating Product Development: Insights and Strategies</p>
<p>10:16 The Evolution of Guide: From Feature to Product</p>
<p>15:19 Understanding Customer Needs: The Value of Communication</p>
<p>20:06 AI in Action: Building a Personalized Experience</p>
<p>25:06 The Future of Guide: Vision and Innovations</p>
<p>30:22 Building a Company Culture: Lessons from the Journey</p>
<p>35:23 Advice for Aspiring Entrepreneurs: Embracing the Challenge</p>
<p><br></p>
<p><strong>Connect with Yoav</strong> - <a href="https://www.linkedin.com/in/yoav-einav/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3019</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[380b2a86-52ca-4f34-aea8-24807ccc790c]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7976736476.mp3?updated=1776343525" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The #1 Conversational AI For Recruitment — Prem Kumar, HumanlyAI</title>
      <description>Summary



In this episode of AI Tool Report Live, host Liam Lawson interviews Prem Kumar, CEO of Humanly.io, a leading conversational platform for high-volume hiring. They discuss Prem's journey from his first job to becoming a successful entrepreneur, the importance of candidate experience in recruitment, and how Humanly blends automation with a human touch. Prem shares insights on building an inclusive company culture, the role of AI in recruitment, and the challenges of scaling a startup. He emphasizes the importance of mentorship, technical curiosity, and the need for aspiring entrepreneurs to take action and get started.



Chapters: 



00:00 Introduction to Prem Kumar and Humanly.io

02:36 Prem's Early Career and Entrepreneurial Journey

05:42 The Genesis of Humanly and Candidate Experience

08:32 Balancing Automation and Human Touch in Recruiting

11:08 Insights from Behavioral Science in Recruitment

13:53 Benefits of Humanly for Recruiting Firms

15:42 AI Infrastructure and Bias Mitigation

19:19 Building an Inclusive Company Culture

21:46 Challenges of Scaling Company Culture

23:47 Traits of a Great CEO

26:29 Self-Evaluation as a CEO

29:38 Technical Curiosity and Learning as a CEO

31:34 Future Trends in AI and Humanly's Vision

36:53 Motivation and Work-Life Balance

39:49 The Importance of Mentorship

42:12 Advice for Aspiring Entrepreneurs in AI



Connect with Prem — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 07 Nov 2024 11:01:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1f83f8ae-34de-11f1-8875-8321b7081ae6/image/1f83acbbf6511bdc211d96727d18ee7a.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode of AI Tool Report Live, host Liam Lawson interviews Prem Kumar, CEO of Humanly.io, a leading conversational platform for high-volume hiring. They discuss Prem's journey from his first job to becoming a successful entrepreneur, the importance of candidate experience in recruitment, and how Humanly blends automation with a human touch. Prem shares insights on building an inclusive company culture, the role of AI in recruitment, and the challenges of scaling a startup. He emphasizes the importance of mentorship, technical curiosity, and the need for aspiring entrepreneurs to take action and get started.



Chapters: 



00:00 Introduction to Prem Kumar and Humanly.io

02:36 Prem's Early Career and Entrepreneurial Journey

05:42 The Genesis of Humanly and Candidate Experience

08:32 Balancing Automation and Human Touch in Recruiting

11:08 Insights from Behavioral Science in Recruitment

13:53 Benefits of Humanly for Recruiting Firms

15:42 AI Infrastructure and Bias Mitigation

19:19 Building an Inclusive Company Culture

21:46 Challenges of Scaling Company Culture

23:47 Traits of a Great CEO

26:29 Self-Evaluation as a CEO

29:38 Technical Curiosity and Learning as a CEO

31:34 Future Trends in AI and Humanly's Vision

36:53 Motivation and Work-Life Balance

39:49 The Importance of Mentorship

42:12 Advice for Aspiring Entrepreneurs in AI



Connect with Prem — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode of AI Tool Report Live, host Liam Lawson interviews Prem Kumar, CEO of Humanly.io, a leading conversational platform for high-volume hiring. They discuss Prem's journey from his first job to becoming a successful entrepreneur, the importance of candidate experience in recruitment, and how Humanly blends automation with a human touch. Prem shares insights on building an inclusive company culture, the role of AI in recruitment, and the challenges of scaling a startup. He emphasizes the importance of mentorship, technical curiosity, and the need for aspiring entrepreneurs to take action and get started.</p>
<p><br></p>
<p><strong>Chapters:</strong> </p>
<p><br></p>
<p>00:00 Introduction to Prem Kumar and Humanly.io</p>
<p>02:36 Prem's Early Career and Entrepreneurial Journey</p>
<p>05:42 The Genesis of Humanly and Candidate Experience</p>
<p>08:32 Balancing Automation and Human Touch in Recruiting</p>
<p>11:08 Insights from Behavioral Science in Recruitment</p>
<p>13:53 Benefits of Humanly for Recruiting Firms</p>
<p>15:42 AI Infrastructure and Bias Mitigation</p>
<p>19:19 Building an Inclusive Company Culture</p>
<p>21:46 Challenges of Scaling Company Culture</p>
<p>23:47 Traits of a Great CEO</p>
<p>26:29 Self-Evaluation as a CEO</p>
<p>29:38 Technical Curiosity and Learning as a CEO</p>
<p>31:34 Future Trends in AI and Humanly's Vision</p>
<p>36:53 Motivation and Work-Life Balance</p>
<p>39:49 The Importance of Mentorship</p>
<p>42:12 Advice for Aspiring Entrepreneurs in AI</p>
<p><br></p>
<p><strong>Connect with Prem</strong> — <a href="https://www.linkedin.com/in/premskumar/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2761</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e582b974-4d1e-44ea-b68b-62784402d21e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8551797262.mp3?updated=1776343517" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>D2D Sales to AI Startup with Shawn Miller (InboundrAI)</title>
      <description>Summary



In this episode, Liam Lawson interviews Shawn Miller, co-founder and CEO of Inboundr AI. They discuss Shawn's journey from door-to-door sales to entrepreneurship, including ventures in the food delivery industry. Shawn explains how Inboundr AI helps users create authentic, employee-led content by using AI to analyze transcripts from meetings, podcasts, and conversations.

They also cover the rise of social media in buyer behavior, the challenges of building trust in AI-generated content, and the future of Inboundr AI, with plans to expand into photo and video content. Shawn shares insights on AI's potential disruptions, the importance of communication, and his entrepreneurial drive, particularly within Canada's supportive startup ecosystem.



Chapters: 



00:00 Introduction to Sean Miller and Inbounder AI

02:21 From Door-to-Door Sales to Entrepreneurship

06:25 Pivoting from a Failed Business to Inbounder AI

09:48 The Rise of Employee-Led Content

14:41 The Psychology Behind the Shift in Buyer Behavior

18:20 How Inbounder AI Works

21:39 Growth and Values of Inbounder AI

26:08 The Future of Inbounder AI

26:49 Backlash and Challenges in the Content Marketing Space

29:25 AI-Powered Personalized Content Creation

30:58 Co-Founder Dynamics

35:50 Building Trust in AI-Generated Content

37:59 Expanding into Photo and Video Content

44:02 The Future of AI

45:53 Starting an AI Business

47:24 Motivation for Entrepreneurship



Connect with Shawn — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 31 Oct 2024 11:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/1ff1bbd2-34de-11f1-8875-23a89de7c614/image/0b6647ddfd9e0bc0db1ac35c5f82a07c.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Liam Lawson interviews Shawn Miller, co-founder and CEO of Inboundr AI. They discuss Shawn's journey from door-to-door sales to entrepreneurship, including ventures in the food delivery industry. Shawn explains how Inboundr AI helps users create authentic, employee-led content by using AI to analyze transcripts from meetings, podcasts, and conversations.

They also cover the rise of social media in buyer behavior, the challenges of building trust in AI-generated content, and the future of Inboundr AI, with plans to expand into photo and video content. Shawn shares insights on AI's potential disruptions, the importance of communication, and his entrepreneurial drive, particularly within Canada's supportive startup ecosystem.



Chapters: 



00:00 Introduction to Sean Miller and Inbounder AI

02:21 From Door-to-Door Sales to Entrepreneurship

06:25 Pivoting from a Failed Business to Inbounder AI

09:48 The Rise of Employee-Led Content

14:41 The Psychology Behind the Shift in Buyer Behavior

18:20 How Inbounder AI Works

21:39 Growth and Values of Inbounder AI

26:08 The Future of Inbounder AI

26:49 Backlash and Challenges in the Content Marketing Space

29:25 AI-Powered Personalized Content Creation

30:58 Co-Founder Dynamics

35:50 Building Trust in AI-Generated Content

37:59 Expanding into Photo and Video Content

44:02 The Future of AI

45:53 Starting an AI Business

47:24 Motivation for Entrepreneurship



Connect with Shawn — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode, <strong>Liam Lawson</strong> interviews <strong>Shawn Miller</strong>, co-founder and CEO of <strong>Inboundr AI</strong>. They discuss Shawn's journey from door-to-door sales to entrepreneurship, including ventures in the food delivery industry. Shawn explains how Inboundr AI helps users create authentic, employee-led content by using AI to analyze transcripts from meetings, podcasts, and conversations.</p>
<p>They also cover the rise of social media in buyer behavior, the challenges of building trust in AI-generated content, and the future of Inboundr AI, with plans to expand into photo and video content. Shawn shares insights on AI's potential disruptions, the importance of communication, and his entrepreneurial drive, particularly within Canada's supportive startup ecosystem.</p>
<p><br></p>
<p><strong>Chapters: </strong></p>
<p><br></p>
<p>00:00 Introduction to Sean Miller and Inbounder AI</p>
<p>02:21 From Door-to-Door Sales to Entrepreneurship</p>
<p>06:25 Pivoting from a Failed Business to Inbounder AI</p>
<p>09:48 The Rise of Employee-Led Content</p>
<p>14:41 The Psychology Behind the Shift in Buyer Behavior</p>
<p>18:20 How Inbounder AI Works</p>
<p>21:39 Growth and Values of Inbounder AI</p>
<p>26:08 The Future of Inbounder AI</p>
<p>26:49 Backlash and Challenges in the Content Marketing Space</p>
<p>29:25 AI-Powered Personalized Content Creation</p>
<p>30:58 Co-Founder Dynamics</p>
<p>35:50 Building Trust in AI-Generated Content</p>
<p>37:59 Expanding into Photo and Video Content</p>
<p>44:02 The Future of AI</p>
<p>45:53 Starting an AI Business</p>
<p>47:24 Motivation for Entrepreneurship</p>
<p><br></p>
<p><strong>Connect with Shawn</strong> — <a href="https://www.linkedin.com/in/shawndavidmiller/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3165</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c1d8248b-6325-48b6-89c4-ab2bbaaaeb9f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7755608739.mp3?updated=1776343541" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Deepfake Reality: How We broke Twitter by following the rules</title>
      <description>It's easy to get caught up in AI fear, specifically the fear of being replaced. We talked about as much in our last episode. However the more relevant fear we should be focused on is the fear of being tricked.

If the era of fake news and the emergence of deep fakes wasn't enough, now we need to contend with the reality that most major tech companies don't actually care what's being shared, taking the stance that it's up to us to decide what's real as long as they're getting their clicks.

Last time we talked about the need to rediscover out capacity to think critically. This time we're showing you why. Alongside previous guest and friend Casey Fox, founder of Tekletics, we took on a project that showed us just how easy it was to break Twitter, and virtually any media platform, all by following the rules. 



You're going to want to see this going into the U.S. election next week.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 29 Oct 2024 05:23:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/205b6a5a-34de-11f1-8875-03a35e77c9c0/image/7e3e554e51be4e4d644a552ee2f2e579.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>It's easy to get caught up in AI fear, specifically the fear of being replaced. We talked about as much in our last episode. However the more relevant fear we should be focused on is the fear of being tricked.

If the era of fake news and the emergence of deep fakes wasn't enough, now we need to contend with the reality that most major tech companies don't actually care what's being shared, taking the stance that it's up to us to decide what's real as long as they're getting their clicks.

Last time we talked about the need to rediscover out capacity to think critically. This time we're showing you why. Alongside previous guest and friend Casey Fox, founder of Tekletics, we took on a project that showed us just how easy it was to break Twitter, and virtually any media platform, all by following the rules. 



You're going to want to see this going into the U.S. election next week.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>It's easy to get caught up in AI fear, specifically the fear of being replaced. We talked about as much in our last episode. However the more relevant fear we should be focused on is the fear of being tricked.</p>
<p>If the era of fake news and the emergence of deep fakes wasn't enough, now we need to contend with the reality that most major tech companies don't actually care what's being shared, taking the stance that it's up to us to decide what's real as long as they're getting their clicks.</p>
<p>Last time we talked about the need to rediscover out capacity to think critically. This time we're showing you why. Alongside previous guest and friend Casey Fox, founder of Tekletics, we took on a project that showed us just how easy it was to break Twitter, and virtually any media platform, all by following the rules. </p>
<p><br></p>
<p>You're going to want to see this going into the U.S. election next week.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2852</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8a521a67-71d4-45d2-8024-b38d65955b57]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4215250059.mp3?updated=1776343507" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Former Siri Developer on The Future of AI (Shayan Arman)</title>
      <description>Summary

In this conversation, Liam Lawson interviews Shayan Arman (Shy), a former employee at Apple and the founder of Zero Inbox and Thali AI. They discuss Shy's experiences at Apple, including meeting Tim Cook and working on Siri. They also delve into the development and features of Zero Inbox, an email manager that uses AI to simplify email organization. Shy shares insights into the AI industry and the potential of large language models (LLMs) like GPT. They also touch on the future of AI and the role it may play in sales and communication. In this conversation, Shy discusses the future of AI and automation, as well as his own project, Surf, a modular dishwasher. He explains that AI agents will become essential for productivity and competition, and predicts that AI technology will continue to improve and be applied in various industries. However, he also expresses concerns about the use of AI in warfare and the potential loss of human connection. Shy shares his experience of doing the Camino de Santiago and emphasizes the importance of finding balance in life and enjoying the present moment.



Chapters: 



00:00 Introduction

00:34 Meeting Tim Cook and Working on Siri at Apple

02:43 Simplifying Email Organization with Zero Inbox

05:56 The Growth and Potential of the AI Industry

08:57 Thali AI: AI Agents for Salespeople

13:05 The Future of AI: Personal AI Agents for Communication

24:45 The Future of AI and Automation

32:23 Introducing Surf: The Modular Dishwasher

36:15 Predictions for AI and Automation

36:58 The Importance of the Camino de Santiago

43:23 Finding Balance in Life



Connect with Shayan — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 24 Oct 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/20c21642-34de-11f1-8875-73e529ed5785/image/3adb2882b88729f6e243c124ffda42ae.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

In this conversation, Liam Lawson interviews Shayan Arman (Shy), a former employee at Apple and the founder of Zero Inbox and Thali AI. They discuss Shy's experiences at Apple, including meeting Tim Cook and working on Siri. They also delve into the development and features of Zero Inbox, an email manager that uses AI to simplify email organization. Shy shares insights into the AI industry and the potential of large language models (LLMs) like GPT. They also touch on the future of AI and the role it may play in sales and communication. In this conversation, Shy discusses the future of AI and automation, as well as his own project, Surf, a modular dishwasher. He explains that AI agents will become essential for productivity and competition, and predicts that AI technology will continue to improve and be applied in various industries. However, he also expresses concerns about the use of AI in warfare and the potential loss of human connection. Shy shares his experience of doing the Camino de Santiago and emphasizes the importance of finding balance in life and enjoying the present moment.



Chapters: 



00:00 Introduction

00:34 Meeting Tim Cook and Working on Siri at Apple

02:43 Simplifying Email Organization with Zero Inbox

05:56 The Growth and Potential of the AI Industry

08:57 Thali AI: AI Agents for Salespeople

13:05 The Future of AI: Personal AI Agents for Communication

24:45 The Future of AI and Automation

32:23 Introducing Surf: The Modular Dishwasher

36:15 Predictions for AI and Automation

36:58 The Importance of the Camino de Santiago

43:23 Finding Balance in Life



Connect with Shayan — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>In this conversation, Liam Lawson interviews <strong>Shayan Arman</strong> (Shy), a former employee at <strong>Apple </strong>and the founder of <strong>Zero Inbox</strong> and <strong>Thali AI</strong>. They discuss Shy's experiences at Apple, including meeting Tim Cook and working on Siri. They also delve into the development and features of Zero Inbox, an email manager that uses AI to simplify email organization. Shy shares insights into the AI industry and the potential of large language models (LLMs) like GPT. They also touch on the future of AI and the role it may play in sales and communication. In this conversation, Shy discusses the future of AI and automation, as well as his own project, Surf, a modular dishwasher. He explains that AI agents will become essential for productivity and competition, and predicts that AI technology will continue to improve and be applied in various industries. However, he also expresses concerns about the use of AI in warfare and the potential loss of human connection. Shy shares his experience of doing the Camino de Santiago and emphasizes the importance of finding balance in life and enjoying the present moment.</p>
<p><br></p>
<p><strong>Chapters: </strong></p>
<p><br></p>
<p>00:00 Introduction</p>
<p>00:34 Meeting Tim Cook and Working on Siri at Apple</p>
<p>02:43 Simplifying Email Organization with Zero Inbox</p>
<p>05:56 The Growth and Potential of the AI Industry</p>
<p>08:57 Thali AI: AI Agents for Salespeople</p>
<p>13:05 The Future of AI: Personal AI Agents for Communication</p>
<p>24:45 The Future of AI and Automation</p>
<p>32:23 Introducing Surf: The Modular Dishwasher</p>
<p>36:15 Predictions for AI and Automation</p>
<p>36:58 The Importance of the Camino de Santiago</p>
<p>43:23 Finding Balance in Life</p>
<p><br></p>
<p><strong>Connect with Shayan</strong> — <a href="https://www.linkedin.com/in/shayan-arman/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2996</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f79a979e-8ee9-43ee-a0e9-9a52dfe51200]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4312370488.mp3?updated=1776343641" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The Impending AI Agent Revolution? With Jake George</title>
      <description>In this episode, Jake George, founder of Synthoria Labs, joins Liam Lawson to discuss B2B custom AI development and the creation of intelligent AI agents to solve complex business challenges. Jake highlights the limitations of tools like ChatGPT and the importance of custom AI solutions integrated with existing systems.

They also explore how AI and automation save time, cut costs, and help businesses scale, while Jake shares his journey from crypto marketing to AI development. Together, they address misconceptions about AI in B2B, the skills gap, and the future of AI, offering advice for newcomers to the field.



Chapters: 



00:00 Introduction and Background

03:17 The Power of Custom AI Solutions

11:20 Understanding AI, Agents, and Automations

17:04 Building AI Agents with No-Code and Low-Code Platforms

24:16 The Launchpad: Overcoming Challenges in Personal Branding

35:18 LinkedIn: A Valuable Platform for B2B Networking and Personal Branding

39:47 Social Media and Attention Management

41:07 Misconceptions about AI in the B2B Space

44:40 The Impact of AI on Laziness and the Skills Gap

58:01 The Freedom and Challenges of Being a Digital Entrepreneur

01:04:57 The Exciting and Evolving Future of AI

01:09:54 Advice for Those Interested in AI

01:12:50 Contacting Jake George



Connect with Jake — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 17 Oct 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/212c64ca-34de-11f1-8875-1fc4fc2675ef/image/0da67997e953af0e51fb16f5d3edd996.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>In this episode, Jake George, founder of Synthoria Labs, joins Liam Lawson to discuss B2B custom AI development and the creation of intelligent AI agents to solve complex business challenges. Jake highlights the limitations of tools like ChatGPT and the importance of custom AI solutions integrated with existing systems.

They also explore how AI and automation save time, cut costs, and help businesses scale, while Jake shares his journey from crypto marketing to AI development. Together, they address misconceptions about AI in B2B, the skills gap, and the future of AI, offering advice for newcomers to the field.



Chapters: 



00:00 Introduction and Background

03:17 The Power of Custom AI Solutions

11:20 Understanding AI, Agents, and Automations

17:04 Building AI Agents with No-Code and Low-Code Platforms

24:16 The Launchpad: Overcoming Challenges in Personal Branding

35:18 LinkedIn: A Valuable Platform for B2B Networking and Personal Branding

39:47 Social Media and Attention Management

41:07 Misconceptions about AI in the B2B Space

44:40 The Impact of AI on Laziness and the Skills Gap

58:01 The Freedom and Challenges of Being a Digital Entrepreneur

01:04:57 The Exciting and Evolving Future of AI

01:09:54 Advice for Those Interested in AI

01:12:50 Contacting Jake George



Connect with Jake — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>In this episode, <strong>Jake George</strong>, founder of<strong> Synthoria Labs</strong>, joins <strong>Liam Lawson</strong> to discuss B2B custom AI development and the creation of intelligent AI agents to solve complex business challenges. Jake highlights the limitations of tools like ChatGPT and the importance of custom AI solutions integrated with existing systems.</p>
<p>They also explore how AI and automation save time, cut costs, and help businesses scale, while Jake shares his journey from crypto marketing to AI development. Together, they address misconceptions about AI in B2B, the skills gap, and the future of AI, offering advice for newcomers to the field.</p>
<p><br></p>
<p><strong>Chapters:</strong> </p>
<p><br></p>
<p>00:00 Introduction and Background</p>
<p>03:17 The Power of Custom AI Solutions</p>
<p>11:20 Understanding AI, Agents, and Automations</p>
<p>17:04 Building AI Agents with No-Code and Low-Code Platforms</p>
<p>24:16 The Launchpad: Overcoming Challenges in Personal Branding</p>
<p>35:18 LinkedIn: A Valuable Platform for B2B Networking and Personal Branding</p>
<p>39:47 Social Media and Attention Management</p>
<p>41:07 Misconceptions about AI in the B2B Space</p>
<p>44:40 The Impact of AI on Laziness and the Skills Gap</p>
<p>58:01 The Freedom and Challenges of Being a Digital Entrepreneur</p>
<p>01:04:57 The Exciting and Evolving Future of AI</p>
<p>01:09:54 Advice for Those Interested in AI</p>
<p>01:12:50 Contacting Jake George</p>
<p><br></p>
<p><strong>Connect with Jake</strong> — <a href="https://www.linkedin.com/in/jake-george-ai-genie/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4480</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ed96b053-c569-4028-8a19-1c95a062f911]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9736273086.mp3?updated=1776343853" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>AI-Powered Personal Branding — Audrey Chia’s Journey to 30,000+ LinkedIn Followers</title>
      <description>Summary



Audrey Chia, Founder of Close with Copy, shares her journey in marketing, LinkedIn growth, and leveraging AI in copywriting. She emphasizes action, a growth mindset, and consistency for success. Audrey discusses the power of personal branding, her experiences with public speaking, and her content strategy focused on listening and asking the right questions. She also introduces her LinkedIn Launchpad, a system for building personal brands, and shares her favorite AI tools, highlighting the importance of a clear vision. Audrey touches on the future of AI in advertising and its potential to empower more creatives.



Chapters



00:00 Introduction and Spontaneity

02:26 Optimal Focus Stack and Work-Life Balance

04:16 The Power of the LinkedIn Community

06:44 Audrey's Journey as an Entrepreneur

11:02 Leveraging AI Tools in Copywriting

13:39 Consistency and Dedication in Personal Branding

16:23 Unlocking Opportunities through LinkedIn

30:27 The Secret to Success

32:41 Launching Your Personal Brand on LinkedIn

37:27 The LinkedIn Launchpad

40:10 AI Tools and the Importance of Vision

53:11 The Future of AI in Advertising

58:33 Empowering Creatives with AI



Connect with Audrey — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 10 Oct 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/219fd93c-34de-11f1-8875-07a862b65b80/image/fcca309c579804f69238113509292c37.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



Audrey Chia, Founder of Close with Copy, shares her journey in marketing, LinkedIn growth, and leveraging AI in copywriting. She emphasizes action, a growth mindset, and consistency for success. Audrey discusses the power of personal branding, her experiences with public speaking, and her content strategy focused on listening and asking the right questions. She also introduces her LinkedIn Launchpad, a system for building personal brands, and shares her favorite AI tools, highlighting the importance of a clear vision. Audrey touches on the future of AI in advertising and its potential to empower more creatives.



Chapters



00:00 Introduction and Spontaneity

02:26 Optimal Focus Stack and Work-Life Balance

04:16 The Power of the LinkedIn Community

06:44 Audrey's Journey as an Entrepreneur

11:02 Leveraging AI Tools in Copywriting

13:39 Consistency and Dedication in Personal Branding

16:23 Unlocking Opportunities through LinkedIn

30:27 The Secret to Success

32:41 Launching Your Personal Brand on LinkedIn

37:27 The LinkedIn Launchpad

40:10 AI Tools and the Importance of Vision

53:11 The Future of AI in Advertising

58:33 Empowering Creatives with AI



Connect with Audrey — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>Audrey Chia, Founder of Close with Copy, shares her journey in marketing, LinkedIn growth, and leveraging AI in copywriting. She emphasizes action, a growth mindset, and consistency for success. Audrey discusses the power of personal branding, her experiences with public speaking, and her content strategy focused on listening and asking the right questions. She also introduces her LinkedIn Launchpad, a system for building personal brands, and shares her favorite AI tools, highlighting the importance of a clear vision. Audrey touches on the future of AI in advertising and its potential to empower more creatives.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Introduction and Spontaneity</p>
<p>02:26 Optimal Focus Stack and Work-Life Balance</p>
<p>04:16 The Power of the LinkedIn Community</p>
<p>06:44 Audrey's Journey as an Entrepreneur</p>
<p>11:02 Leveraging AI Tools in Copywriting</p>
<p>13:39 Consistency and Dedication in Personal Branding</p>
<p>16:23 Unlocking Opportunities through LinkedIn</p>
<p>30:27 The Secret to Success</p>
<p>32:41 Launching Your Personal Brand on LinkedIn</p>
<p>37:27 The LinkedIn Launchpad</p>
<p>40:10 AI Tools and the Importance of Vision</p>
<p>53:11 The Future of AI in Advertising</p>
<p>58:33 Empowering Creatives with AI</p>
<p><br></p>
<p><strong>Connect with Audrey</strong> —<a href="https://www.linkedin.com/in/audrey-chia/"> LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3735</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[fffc2ec1-c348-4a16-ba59-4bb82c78319d]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7854573905.mp3?updated=1776127821" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Becoming Irreplaceable: Pascal Bornet and the keys to staying relevant in the AI age</title>
      <description>Shiny new toys are great and all, but there's really only one question nearly all of us are asking when it comes to AI: are we in danger of being replaced?

AI thinks faster, combines data more effectively, and isn't burdened with inefficiencies like bathroom breaks and a need for social connections. So how do we fit into all of this? And what do we do to get ready?

We're on with Pascal Bornet, a living legend in the AI world with over 20 years experience in automation. Drawing from his experience living in working everywhere from France and China, to Singapore and the United States, he shares what he's learned about the direction AI is taking, what we can do to get ready for the coming changes, and how getting ready for the future means tapping into ancient wisdom.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 08 Oct 2024 06:48:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/220a3f98-34de-11f1-8875-fb95f2f7a9a3/image/6dfc1c7a7d9723e27ecc67583854592b.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Shiny new toys are great and all, but there's really only one question nearly all of us are asking when it comes to AI: are we in danger of being replaced?

AI thinks faster, combines data more effectively, and isn't burdened with inefficiencies like bathroom breaks and a need for social connections. So how do we fit into all of this? And what do we do to get ready?

We're on with Pascal Bornet, a living legend in the AI world with over 20 years experience in automation. Drawing from his experience living in working everywhere from France and China, to Singapore and the United States, he shares what he's learned about the direction AI is taking, what we can do to get ready for the coming changes, and how getting ready for the future means tapping into ancient wisdom.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Shiny new toys are great and all, but there's really only one question nearly all of us are asking when it comes to AI: are we in danger of being replaced?</p>
<p>AI thinks faster, combines data more effectively, and isn't burdened with inefficiencies like bathroom breaks and a need for social connections. So how do we fit into all of this? And what do we do to get ready?</p>
<p>We're on with Pascal Bornet, a living legend in the AI world with over 20 years experience in automation. Drawing from his experience living in working everywhere from France and China, to Singapore and the United States, he shares what he's learned about the direction AI is taking, what we can do to get ready for the coming changes, and how getting ready for the future means tapping into ancient wisdom.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3051</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[71d12aa1-9d05-4568-8c05-fe61b97aeba8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1653587492.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Insights from a Young Self-Taught AI Entrepreneur — Hank Barker</title>
      <description>Summery



In this episode, Liam Lawson interviews Hank Barker, co-founder of PriorAIty. Hank shares his self-taught journey into AI and his mission to provide value through bespoke consulting and training for businesses. The discussion touches on the importance of authenticity on LinkedIn, the challenges companies face with AI implementation, and the need for tailored training and data readiness. Hank's company focuses on simplifying AI for organizations, offering workshops and training to ensure smooth integration. He also emphasizes work-life balance, the role of nature in staying grounded, and his excitement for the future of AI, particularly voice technology.



Chapters



00:00 The Supportive AI Community and the Power of Personal Connections

03:29 From Teaching College Students to Training Businesses

11:30 Tailoring AI Training to the Specific Needs of Organizations

15:31 Challenges Companies Face in Adopting AI

26:29 Addressing the Lack of Knowledge and Understanding of AI

28:23 Data Readiness for AI Implementation

30:42 Monetization Strategies and Courses in AI

33:49 Building a Personal Brand on LinkedIn

37:12 The Benefits of Nature and a Structured Morning Routine

39:30 The Potential of AI Voice Technology

48:20 Approaching AI with Curiosity and Enthusiasm



Connect with Hank — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 03 Oct 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/226e2a9e-34de-11f1-8875-eb007ba2bcd1/image/000e56fe80e412b6a01b6505266432cf.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summery



In this episode, Liam Lawson interviews Hank Barker, co-founder of PriorAIty. Hank shares his self-taught journey into AI and his mission to provide value through bespoke consulting and training for businesses. The discussion touches on the importance of authenticity on LinkedIn, the challenges companies face with AI implementation, and the need for tailored training and data readiness. Hank's company focuses on simplifying AI for organizations, offering workshops and training to ensure smooth integration. He also emphasizes work-life balance, the role of nature in staying grounded, and his excitement for the future of AI, particularly voice technology.



Chapters



00:00 The Supportive AI Community and the Power of Personal Connections

03:29 From Teaching College Students to Training Businesses

11:30 Tailoring AI Training to the Specific Needs of Organizations

15:31 Challenges Companies Face in Adopting AI

26:29 Addressing the Lack of Knowledge and Understanding of AI

28:23 Data Readiness for AI Implementation

30:42 Monetization Strategies and Courses in AI

33:49 Building a Personal Brand on LinkedIn

37:12 The Benefits of Nature and a Structured Morning Routine

39:30 The Potential of AI Voice Technology

48:20 Approaching AI with Curiosity and Enthusiasm



Connect with Hank — LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summery</strong></p>
<p><br></p>
<p>In this episode, Liam Lawson interviews Hank Barker, co-founder of PriorAIty. Hank shares his self-taught journey into AI and his mission to provide value through bespoke consulting and training for businesses. The discussion touches on the importance of authenticity on LinkedIn, the challenges companies face with AI implementation, and the need for tailored training and data readiness. Hank's company focuses on simplifying AI for organizations, offering workshops and training to ensure smooth integration. He also emphasizes work-life balance, the role of nature in staying grounded, and his excitement for the future of AI, particularly voice technology.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 The Supportive AI Community and the Power of Personal Connections</p>
<p>03:29 From Teaching College Students to Training Businesses</p>
<p>11:30 Tailoring AI Training to the Specific Needs of Organizations</p>
<p>15:31 Challenges Companies Face in Adopting AI</p>
<p>26:29 Addressing the Lack of Knowledge and Understanding of AI</p>
<p>28:23 Data Readiness for AI Implementation</p>
<p>30:42 Monetization Strategies and Courses in AI</p>
<p>33:49 Building a Personal Brand on LinkedIn</p>
<p>37:12 The Benefits of Nature and a Structured Morning Routine</p>
<p>39:30 The Potential of AI Voice Technology</p>
<p>48:20 Approaching AI with Curiosity and Enthusiasm</p>
<p><br></p>
<p><strong>Connect with Hank</strong> — <a href="https://www.linkedin.com/in/hank-barker/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3406</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[47752b59-ff88-497a-a531-45043ab2b485]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6328435254.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>1000+ Coached — Build &amp; Sell with AI (Rob Howard)</title>
      <description>Summary



In this episode, Liam Lawson interviews Rob Howard, founder of Howard Development Consulting and Innovating with AI. They discuss Rob's diverse background in writing, advertising, journalism, and tech, and how he integrated these skills with AI. Rob shares insights on working with clients of all sizes, the challenges of large organizations, and the importance of experimentation in a long-term career. They also explore the creation of Innovating with AI and the AI Incubator course, which guides people from zero to building an AI product. Rob emphasizes the need for continuous learning, staying ahead in AI, and combining technical skills with effective communication. He also touches on the excitement around AI video generation, the importance of taking risks, and maintaining work-life balance. Rob advises beginners to start with mainstream chatbots and build solutions that address real problems.



Chapters



00:00 Combining Tech Skills with Communication Skills

06:27 The Unique Collaboration of Traits

12:06 Experimentation and Future Focus

26:09 The Breakthrough Moment: AI

29:59 Shaping Offerings Based on Market Demand

33:09 Combining Tech and Communication in AI

36:08 Delivering Live Workshops and Using Live Questions

38:01 Common Misconceptions About AI Models

40:28 Stepping Out of Your Comfort Zone in the AI Field

50:37 Exciting Developments in Video Generation and AI Models

54:20 Getting Started in AI: Familiarize Yourself with Chatbots

57:02 Achieving a Healthy Work-Life Balance in the AI Field



Connect with Rob - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 26 Sep 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/22da1182-34de-11f1-8875-3be2fe41e6a2/image/c559719f0b05ce1f1261ebee06bf61d9.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Liam Lawson interviews Rob Howard, founder of Howard Development Consulting and Innovating with AI. They discuss Rob's diverse background in writing, advertising, journalism, and tech, and how he integrated these skills with AI. Rob shares insights on working with clients of all sizes, the challenges of large organizations, and the importance of experimentation in a long-term career. They also explore the creation of Innovating with AI and the AI Incubator course, which guides people from zero to building an AI product. Rob emphasizes the need for continuous learning, staying ahead in AI, and combining technical skills with effective communication. He also touches on the excitement around AI video generation, the importance of taking risks, and maintaining work-life balance. Rob advises beginners to start with mainstream chatbots and build solutions that address real problems.



Chapters



00:00 Combining Tech Skills with Communication Skills

06:27 The Unique Collaboration of Traits

12:06 Experimentation and Future Focus

26:09 The Breakthrough Moment: AI

29:59 Shaping Offerings Based on Market Demand

33:09 Combining Tech and Communication in AI

36:08 Delivering Live Workshops and Using Live Questions

38:01 Common Misconceptions About AI Models

40:28 Stepping Out of Your Comfort Zone in the AI Field

50:37 Exciting Developments in Video Generation and AI Models

54:20 Getting Started in AI: Familiarize Yourself with Chatbots

57:02 Achieving a Healthy Work-Life Balance in the AI Field



Connect with Rob - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode, Liam Lawson interviews Rob Howard, founder of Howard Development Consulting and Innovating with AI. They discuss Rob's diverse background in writing, advertising, journalism, and tech, and how he integrated these skills with AI. Rob shares insights on working with clients of all sizes, the challenges of large organizations, and the importance of experimentation in a long-term career. They also explore the creation of Innovating with AI and the AI Incubator course, which guides people from zero to building an AI product. Rob emphasizes the need for continuous learning, staying ahead in AI, and combining technical skills with effective communication. He also touches on the excitement around AI video generation, the importance of taking risks, and maintaining work-life balance. Rob advises beginners to start with mainstream chatbots and build solutions that address real problems.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Combining Tech Skills with Communication Skills</p>
<p>06:27 The Unique Collaboration of Traits</p>
<p>12:06 Experimentation and Future Focus</p>
<p>26:09 The Breakthrough Moment: AI</p>
<p>29:59 Shaping Offerings Based on Market Demand</p>
<p>33:09 Combining Tech and Communication in AI</p>
<p>36:08 Delivering Live Workshops and Using Live Questions</p>
<p>38:01 Common Misconceptions About AI Models</p>
<p>40:28 Stepping Out of Your Comfort Zone in the AI Field</p>
<p>50:37 Exciting Developments in Video Generation and AI Models</p>
<p>54:20 Getting Started in AI: Familiarize Yourself with Chatbots</p>
<p>57:02 Achieving a Healthy Work-Life Balance in the AI Field</p>
<p><br></p>
<p><strong>Connect with Rob</strong> - <a href="https://www.linkedin.com/in/rfhoward/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3790</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[8b6c09d3-c674-44f6-9a24-8892c9830b06]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5480894184.mp3?updated=1776127765" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Are you AI Ready? Insights from a Data Expert</title>
      <description>Summary



In this episode, Ben Etherington, CTO and co-founder of Webforge, shares his journey from the film industry to AI and his expertise in helping businesses implement AI effectively. The discussion explores the importance of data readiness, the challenges of outdated processes, and the role of company culture in adopting AI. Ben also touches on the future of AI, ethical considerations, and the differences between the US and UK tech landscapes. The episode wraps up with insights on building client trust and a light-hearted conversation about the challenges of having famous namesakes.



Chapters



00:00 Introduction and Background

07:07 Being Technical and Having Sales Skills

16:55 Webforge's Consulting, Strategy, and Education Services

26:00 Misconceptions and Challenges in AI Implementation

29:40 Conducting AI Readiness Audits

33:10 Poly-Structured Data Challenges

46:54 Working with SMBs: Trust and Value Propositions

58:35 Challenges of Compartmentalized Businesses

01:05:26 The Need for Transparency and Action in the AI Industry

01:07:32 Dispelling Misconceptions about Americans

01:11:41 Ranking Higher on Google: Building a Personal Brand

01:20:22 Inspiration from AI Thought Leaders



Connect with Ben - ⁠LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 19 Sep 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/23457800-34de-11f1-8875-eb1fda23ca8e/image/1d50d28cc0678637901e79633bcd36a3.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Ben Etherington, CTO and co-founder of Webforge, shares his journey from the film industry to AI and his expertise in helping businesses implement AI effectively. The discussion explores the importance of data readiness, the challenges of outdated processes, and the role of company culture in adopting AI. Ben also touches on the future of AI, ethical considerations, and the differences between the US and UK tech landscapes. The episode wraps up with insights on building client trust and a light-hearted conversation about the challenges of having famous namesakes.



Chapters



00:00 Introduction and Background

07:07 Being Technical and Having Sales Skills

16:55 Webforge's Consulting, Strategy, and Education Services

26:00 Misconceptions and Challenges in AI Implementation

29:40 Conducting AI Readiness Audits

33:10 Poly-Structured Data Challenges

46:54 Working with SMBs: Trust and Value Propositions

58:35 Challenges of Compartmentalized Businesses

01:05:26 The Need for Transparency and Action in the AI Industry

01:07:32 Dispelling Misconceptions about Americans

01:11:41 Ranking Higher on Google: Building a Personal Brand

01:20:22 Inspiration from AI Thought Leaders



Connect with Ben - ⁠LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode, Ben Etherington, CTO and co-founder of Webforge, shares his journey from the film industry to AI and his expertise in helping businesses implement AI effectively. The discussion explores the importance of data readiness, the challenges of outdated processes, and the role of company culture in adopting AI. Ben also touches on the future of AI, ethical considerations, and the differences between the US and UK tech landscapes. The episode wraps up with insights on building client trust and a light-hearted conversation about the challenges of having famous namesakes.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Introduction and Background</p>
<p>07:07 Being Technical and Having Sales Skills</p>
<p>16:55 Webforge's Consulting, Strategy, and Education Services</p>
<p>26:00 Misconceptions and Challenges in AI Implementation</p>
<p>29:40 Conducting AI Readiness Audits</p>
<p>33:10 Poly-Structured Data Challenges</p>
<p>46:54 Working with SMBs: Trust and Value Propositions</p>
<p>58:35 Challenges of Compartmentalized Businesses</p>
<p>01:05:26 The Need for Transparency and Action in the AI Industry</p>
<p>01:07:32 Dispelling Misconceptions about Americans</p>
<p>01:11:41 Ranking Higher on Google: Building a Personal Brand</p>
<p>01:20:22 Inspiration from AI Thought Leaders</p>
<p><br></p>
<p><strong>Connect with Ben</strong> - <a href="https://www.linkedin.com/in/ben-etherington-/">⁠LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>5034</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d306c671-c59f-489a-a40c-86f39ca40de1]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3455550982.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>VP of AI at Smartling — Revolutionizing Translation with AI</title>
      <description>Summary



In this episode of the AI Report, Liam interviews Olga Beregovaya, the VP of AI at Smartling, the number one AI translation platform. Olga has 20 years of experience in the machine learning and AI industry, with a background in linguistics. They discuss the role of AI in translation, the evolution of language AI models, and the challenges and opportunities of running an AI-focused company. Smartling's mission is to provide human-quality translation through automated means and make global communication seamless. The company culture is characterized by an innovative spirit, agility, and a focus on customer needs.



Chapters



00:00 Introduction and Background

05:28 Transformative Developments in Language AI

12:28 Competition and Advancements in the AI Landscape

15:14 The Open Source vs. Closed Source Debate in AI

18:18 Smartling: Revolutionizing Translation Automation

21:59 Moving Towards Human Parity in Machine Translation

26:15 Smartling's Mission: Human-Quality Translation and Seamless Global Communication

29:34 Growth in the Enterprise Level and Focus on Innovation

31:23 Trend Towards Full Automation in the Translation Industry

33:35 Running an AI-Enabled Company: Agility and Focus

40:04 The Role of a VP of AI at Smartling

43:49 Company Culture: Innovative Spirit and Inspiration

46:57 Connecting with Smartling



Connect with Olga - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 05 Sep 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/23b74e30-34de-11f1-8875-374c5dd57d5b/image/0f799136bb3d9616a91997c55a5fee8b.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode of the AI Report, Liam interviews Olga Beregovaya, the VP of AI at Smartling, the number one AI translation platform. Olga has 20 years of experience in the machine learning and AI industry, with a background in linguistics. They discuss the role of AI in translation, the evolution of language AI models, and the challenges and opportunities of running an AI-focused company. Smartling's mission is to provide human-quality translation through automated means and make global communication seamless. The company culture is characterized by an innovative spirit, agility, and a focus on customer needs.



Chapters



00:00 Introduction and Background

05:28 Transformative Developments in Language AI

12:28 Competition and Advancements in the AI Landscape

15:14 The Open Source vs. Closed Source Debate in AI

18:18 Smartling: Revolutionizing Translation Automation

21:59 Moving Towards Human Parity in Machine Translation

26:15 Smartling's Mission: Human-Quality Translation and Seamless Global Communication

29:34 Growth in the Enterprise Level and Focus on Innovation

31:23 Trend Towards Full Automation in the Translation Industry

33:35 Running an AI-Enabled Company: Agility and Focus

40:04 The Role of a VP of AI at Smartling

43:49 Company Culture: Innovative Spirit and Inspiration

46:57 Connecting with Smartling



Connect with Olga - LinkedIn

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p><br></p>
<p>In this episode of the AI Report, Liam interviews Olga Beregovaya, the VP of AI at Smartling, the number one AI translation platform. Olga has 20 years of experience in the machine learning and AI industry, with a background in linguistics. They discuss the role of AI in translation, the evolution of language AI models, and the challenges and opportunities of running an AI-focused company. Smartling's mission is to provide human-quality translation through automated means and make global communication seamless. The company culture is characterized by an innovative spirit, agility, and a focus on customer needs.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Introduction and Background</p>
<p>05:28 Transformative Developments in Language AI</p>
<p>12:28 Competition and Advancements in the AI Landscape</p>
<p>15:14 The Open Source vs. Closed Source Debate in AI</p>
<p>18:18 Smartling: Revolutionizing Translation Automation</p>
<p>21:59 Moving Towards Human Parity in Machine Translation</p>
<p>26:15 Smartling's Mission: Human-Quality Translation and Seamless Global Communication</p>
<p>29:34 Growth in the Enterprise Level and Focus on Innovation</p>
<p>31:23 Trend Towards Full Automation in the Translation Industry</p>
<p>33:35 Running an AI-Enabled Company: Agility and Focus</p>
<p>40:04 The Role of a VP of AI at Smartling</p>
<p>43:49 Company Culture: Innovative Spirit and Inspiration</p>
<p>46:57 Connecting with Smartling</p>
<p><br></p>
<p><strong>Connect with Olga</strong> - <a href="https://www.linkedin.com/in/olga-beregovaya-04b5/">LinkedIn</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2970</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[eaf96f5d-0a8f-449e-8b7c-9e1eb9207c4f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2261339099.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Virality, The Algorithm, Agencies &amp; AI — Davis McCondichie</title>
      <description>Summary



In this episode, Liam interviews Davis McCondichie, co-founder of Swipe Labs. They discuss Davis' background, including his lawn care business and passion for photography, as well as his journey into the world of AI and advertising. Davis shares insights into writing scripts for YouTube videos and understanding human psychology to create engaging content. In this part of the conversation, Davis McCondichie and Liam discuss the importance of voice and personality in content creation, the preference for British accents, the use of female voice actors, and the impact of AI on scriptwriting. They also explore the concept of going viral, the components of virality, and the role of novelty and conversation. They touch on the cycles of old content becoming new again and the influence of algorithms on social media platforms. In this conversation, Davis McCondichie discusses the challenges and strategies of growing on social media platforms like Instagram and TikTok. He explains how platforms like Reels and TikTok penalize organic advertisements and incentivize paid ads. Davis also emphasizes the importance of creating high-quality content, building a community, and engaging with the audience. He shares insights from his experience at Swipe Labs and highlights the significance of communication and trust in client relationships. Davis concludes by expressing his passion for storytelling and advertising.







Connect with Davis — Davis@swipelabs.io

SwipeLabs

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 29 Aug 2024 10:00:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/24219b82-34de-11f1-8875-938334fe5878/image/e6ab459ebd5fd136be9528e2b8d02d40.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Liam interviews Davis McCondichie, co-founder of Swipe Labs. They discuss Davis' background, including his lawn care business and passion for photography, as well as his journey into the world of AI and advertising. Davis shares insights into writing scripts for YouTube videos and understanding human psychology to create engaging content. In this part of the conversation, Davis McCondichie and Liam discuss the importance of voice and personality in content creation, the preference for British accents, the use of female voice actors, and the impact of AI on scriptwriting. They also explore the concept of going viral, the components of virality, and the role of novelty and conversation. They touch on the cycles of old content becoming new again and the influence of algorithms on social media platforms. In this conversation, Davis McCondichie discusses the challenges and strategies of growing on social media platforms like Instagram and TikTok. He explains how platforms like Reels and TikTok penalize organic advertisements and incentivize paid ads. Davis also emphasizes the importance of creating high-quality content, building a community, and engaging with the audience. He shares insights from his experience at Swipe Labs and highlights the significance of communication and trust in client relationships. Davis concludes by expressing his passion for storytelling and advertising.







Connect with Davis — Davis@swipelabs.io

SwipeLabs

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Summary</p>
<p><br></p>
<p>In this episode, Liam interviews Davis McCondichie, co-founder of Swipe Labs. They discuss Davis' background, including his lawn care business and passion for photography, as well as his journey into the world of AI and advertising. Davis shares insights into writing scripts for YouTube videos and understanding human psychology to create engaging content. In this part of the conversation, Davis McCondichie and Liam discuss the importance of voice and personality in content creation, the preference for British accents, the use of female voice actors, and the impact of AI on scriptwriting. They also explore the concept of going viral, the components of virality, and the role of novelty and conversation. They touch on the cycles of old content becoming new again and the influence of algorithms on social media platforms. In this conversation, Davis McCondichie discusses the challenges and strategies of growing on social media platforms like Instagram and TikTok. He explains how platforms like Reels and TikTok penalize organic advertisements and incentivize paid ads. Davis also emphasizes the importance of creating high-quality content, building a community, and engaging with the audience. He shares insights from his experience at Swipe Labs and highlights the significance of communication and trust in client relationships. Davis concludes by expressing his passion for storytelling and advertising.</p>
<p><br></p>
<p><br></p>
<p><br></p>
<p>Connect with Davis — Davis@swipelabs.io</p>
<p><a href="https://www.swipelabs.io/">SwipeLabs</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>5169</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f1bdb415-c135-4782-a574-f04f538bd4b8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2701594731.mp3?updated=1776127589" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Legally Represented: Boosting justice through AI</title>
      <description>Just a few decades ago, about 90% of legal defendants could count on having effective legal counsel throughout their proceedings. Today, that figure has completely inverted. Due to rising costs within the legal system itself, as well as other factors, more people than ever are trying to navigate a system with very real and far-reaching consequences in their lives with no training and little guidance.



Sam and his team are working to fix that.



A former attorney, Sam leveraged his experience to build several tools that guide people through their legal challenges, and hopes to continue his fight to bring access to legal resources to everyone. Join us today as we hear his perspective on the future of legal representation, and his story about how he took on the Australian government and won.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 27 Aug 2024 05:49:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2489fd3a-34de-11f1-8875-a3992a837bc3/image/c82afde54cc4bc0d7cc0ab4b0c0c4544.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Just a few decades ago, about 90% of legal defendants could count on having effective legal counsel throughout their proceedings. Today, that figure has completely inverted. Due to rising costs within the legal system itself, as well as other factors, more people than ever are trying to navigate a system with very real and far-reaching consequences in their lives with no training and little guidance.



Sam and his team are working to fix that.



A former attorney, Sam leveraged his experience to build several tools that guide people through their legal challenges, and hopes to continue his fight to bring access to legal resources to everyone. Join us today as we hear his perspective on the future of legal representation, and his story about how he took on the Australian government and won.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Just a few decades ago, about 90% of legal defendants could count on having effective legal counsel throughout their proceedings. Today, that figure has completely inverted. Due to rising costs within the legal system itself, as well as other factors, more people than ever are trying to navigate a system with very real and far-reaching consequences in their lives with no training and little guidance.</p>
<p><br></p>
<p>Sam and his team are working to fix that.</p>
<p><br></p>
<p>A former attorney, Sam leveraged his experience to build several tools that guide people through their legal challenges, and hopes to continue his fight to bring access to legal resources to everyone. Join us today as we hear his perspective on the future of legal representation, and his story about how he took on the Australian government and won.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2752</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[eb2b4f25-ef8f-4bf9-9db3-760ca402cda8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3488118879.mp3" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Scale Everything 10x with AI — Elliott Rayne</title>
      <description>Summary

In this conversation, Liam Lawson and Elliot Raine discuss the use of AI in scaling businesses. They cover topics such as AI as a marketing machine, AI fit in marketing, building AI systems, and leveraging AI in different aspects of business. They also explore the importance of product quality, revenue generation activities, and the role of AI in lead generation and customer acquisition. The conversation provides insights into how AI can be used to optimize marketing efforts and drive business growth.



Chapters

00:00 Introduction and Live Event Start

02:26 Introduction to Elliot Raine and Topic Overview

03:22 AI as a Marketing Machine for 10Xing Your Results

08:05 Revenue Generation Activities and the Importance of Product Quality

13:41 Optimizing Lead Generation and Customer Acquisition with AI

19:23 Leveraging AI in Email Marketing, Social Media, and Paid Advertising

31:29 Paid Advertising: The Most Predictable Way to Grow Your Business

39:03 The Importance of AI CRM in Business Growth

45:43 Conclusion and Closing Remarks



⁠⁠Connect with Elliott

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Sat, 24 Aug 2024 12:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/24ede1d8-34de-11f1-8875-cff6142970f1/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

In this conversation, Liam Lawson and Elliot Raine discuss the use of AI in scaling businesses. They cover topics such as AI as a marketing machine, AI fit in marketing, building AI systems, and leveraging AI in different aspects of business. They also explore the importance of product quality, revenue generation activities, and the role of AI in lead generation and customer acquisition. The conversation provides insights into how AI can be used to optimize marketing efforts and drive business growth.



Chapters

00:00 Introduction and Live Event Start

02:26 Introduction to Elliot Raine and Topic Overview

03:22 AI as a Marketing Machine for 10Xing Your Results

08:05 Revenue Generation Activities and the Importance of Product Quality

13:41 Optimizing Lead Generation and Customer Acquisition with AI

19:23 Leveraging AI in Email Marketing, Social Media, and Paid Advertising

31:29 Paid Advertising: The Most Predictable Way to Grow Your Business

39:03 The Importance of AI CRM in Business Growth

45:43 Conclusion and Closing Remarks



⁠⁠Connect with Elliott

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>In this conversation, Liam Lawson and Elliot Raine discuss the use of AI in scaling businesses. They cover topics such as AI as a marketing machine, AI fit in marketing, building AI systems, and leveraging AI in different aspects of business. They also explore the importance of product quality, revenue generation activities, and the role of AI in lead generation and customer acquisition. The conversation provides insights into how AI can be used to optimize marketing efforts and drive business growth.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p>00:00 Introduction and Live Event Start</p>
<p>02:26 Introduction to Elliot Raine and Topic Overview</p>
<p>03:22 AI as a Marketing Machine for 10Xing Your Results</p>
<p>08:05 Revenue Generation Activities and the Importance of Product Quality</p>
<p>13:41 Optimizing Lead Generation and Customer Acquisition with AI</p>
<p>19:23 Leveraging AI in Email Marketing, Social Media, and Paid Advertising</p>
<p>31:29 Paid Advertising: The Most Predictable Way to Grow Your Business</p>
<p>39:03 The Importance of AI CRM in Business Growth</p>
<p>45:43 Conclusion and Closing Remarks</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/elliottrayne/">⁠⁠Connect with Elliott</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2763</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0045042b-3029-4a47-a541-1668774ed4ad]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2495299637.mp3?updated=1776343690" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (22AUG24)</title>
      <description>On today's news roundup: Procreate takes a stand against AI, custom-made GPT4o's, and overall panic throughout Fortune 500 companies.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 23 Aug 2024 05:39:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/25569b9c-34de-11f1-8875-9fe5bee5c530/image/2b19004a2e7d175cb0145bcb891c5ad8.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On today's news roundup: Procreate takes a stand against AI, custom-made GPT4o's, and overall panic throughout Fortune 500 companies.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today's news roundup: Procreate takes a stand against AI, custom-made GPT4o's, and overall panic throughout Fortune 500 companies.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>169</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[081c5cc9-4427-4bdb-adb9-6ef99620db6a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5070403649.mp3?updated=1776343567" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> $100M to $400M ARR Growth Strategies</title>
      <description>Episode Summary

In this conversation, Liam Lawson interviews Andrew Mounier, a B2B SaaS marketing expert, about his background and experiences in scaling companies. They discuss topics such as the importance of building relationships, the transition from a political science degree to entrepreneurship, and the motivation behind Andrew's career choices. They also touch on the process of hiring and finding the right fit in a company, as well as Andrew's passion for building a better world through technology and social purpose. In this conversation, Liam Lawson and Andrew Mounier discuss the use of AI in marketing, the importance of human touch in customer service, and the future of AI in various industries. They also touch on the need for individuals to upskill themselves in AI and the potential job displacement that may occur. Andrew shares his personal goals of launching a climate tech business, owning a farm, and creating a retreat focused on mindfulness and human connection.



Chapters:

00:00 Introduction and Background

02:43 Building Relationships and Thriving in the B2B SaaS Space

05:04 Transition from Political Science to Entrepreneurship

08:38 Balancing Personal Projects and Career Growth

10:45 Prioritizing Equity and Ownership in Job Opportunities

16:17 Servant Leadership and Empowering Teams

20:16 Finding Alignment in Job Opportunities

24:06 Lately: Using AI for Social Media Marketing

39:07 The Role of AI in Marketing and Customer Service

44:37 The Importance of Upskilling in AI

50:17 The Future of AI: Creativity and Mindfulness

01:07:16 Andrew's Personal Goals: Climate Tech, Farm Ownership, and Mindfulness Retreat



⁠Connect with Andrew

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 22 Aug 2024 12:54:13 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/25bd161a-34de-11f1-8875-ef12ac60a461/image/09d8ed4baef6110f1e0c99634ad70c5a.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Episode Summary

In this conversation, Liam Lawson interviews Andrew Mounier, a B2B SaaS marketing expert, about his background and experiences in scaling companies. They discuss topics such as the importance of building relationships, the transition from a political science degree to entrepreneurship, and the motivation behind Andrew's career choices. They also touch on the process of hiring and finding the right fit in a company, as well as Andrew's passion for building a better world through technology and social purpose. In this conversation, Liam Lawson and Andrew Mounier discuss the use of AI in marketing, the importance of human touch in customer service, and the future of AI in various industries. They also touch on the need for individuals to upskill themselves in AI and the potential job displacement that may occur. Andrew shares his personal goals of launching a climate tech business, owning a farm, and creating a retreat focused on mindfulness and human connection.



Chapters:

00:00 Introduction and Background

02:43 Building Relationships and Thriving in the B2B SaaS Space

05:04 Transition from Political Science to Entrepreneurship

08:38 Balancing Personal Projects and Career Growth

10:45 Prioritizing Equity and Ownership in Job Opportunities

16:17 Servant Leadership and Empowering Teams

20:16 Finding Alignment in Job Opportunities

24:06 Lately: Using AI for Social Media Marketing

39:07 The Role of AI in Marketing and Customer Service

44:37 The Importance of Upskilling in AI

50:17 The Future of AI: Creativity and Mindfulness

01:07:16 Andrew's Personal Goals: Climate Tech, Farm Ownership, and Mindfulness Retreat



⁠Connect with Andrew

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Episode Summary</strong></p>
<p>In this conversation, Liam Lawson interviews Andrew Mounier, a B2B SaaS marketing expert, about his background and experiences in scaling companies. They discuss topics such as the importance of building relationships, the transition from a political science degree to entrepreneurship, and the motivation behind Andrew's career choices. They also touch on the process of hiring and finding the right fit in a company, as well as Andrew's passion for building a better world through technology and social purpose. In this conversation, Liam Lawson and Andrew Mounier discuss the use of AI in marketing, the importance of human touch in customer service, and the future of AI in various industries. They also touch on the need for individuals to upskill themselves in AI and the potential job displacement that may occur. Andrew shares his personal goals of launching a climate tech business, owning a farm, and creating a retreat focused on mindfulness and human connection.</p>
<p><br></p>
<p><strong>Chapters:</strong></p>
<p>00:00 Introduction and Background</p>
<p>02:43 Building Relationships and Thriving in the B2B SaaS Space</p>
<p>05:04 Transition from Political Science to Entrepreneurship</p>
<p>08:38 Balancing Personal Projects and Career Growth</p>
<p>10:45 Prioritizing Equity and Ownership in Job Opportunities</p>
<p>16:17 Servant Leadership and Empowering Teams</p>
<p>20:16 Finding Alignment in Job Opportunities</p>
<p>24:06 Lately: Using AI for Social Media Marketing</p>
<p>39:07 The Role of AI in Marketing and Customer Service</p>
<p>44:37 The Importance of Upskilling in AI</p>
<p>50:17 The Future of AI: Creativity and Mindfulness</p>
<p>01:07:16 Andrew's Personal Goals: Climate Tech, Farm Ownership, and Mindfulness Retreat</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/andrewmounier/">⁠Connect with Andrew</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>4345</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e4041549-9fd8-4d56-aeed-4b460a31336b]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5728892066.mp3?updated=1776127418" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Teaching Kids with AI: The end of traditional education</title>
      <description>Whether you're a first time listener or a longtime fan, you're safe to think we're pretty AI forward here. But in all our talk about AI being the future, it can be easy to lose sight of the actual future: our kids.AI is bringing up all kinds of issues critical for both society at large and individual parents, like me. What kind of world are we creating? How will our kids find their place? What does their education to get them ready look like?We're on with Edward Glassman, faculty and leading voice of the AI Task Force at Philadelphia's prestigious Springhill Chestnut Hill Academy, on what it looks like to raise the entrepreneurs of tomorrow, how to navigate AI in the education space, and what it means to be a parent and teacher in this age of transition.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 20 Aug 2024 06:29:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2629ea92-34de-11f1-8875-4f8217330624/image/90d5c21029b1926e1042d00c2d892db2.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Whether you're a first time listener or a longtime fan, you're safe to think we're pretty AI forward here. But in all our talk about AI being the future, it can be easy to lose sight of the actual future: our kids.AI is bringing up all kinds of issues critical for both society at large and individual parents, like me. What kind of world are we creating? How will our kids find their place? What does their education to get them ready look like?We're on with Edward Glassman, faculty and leading voice of the AI Task Force at Philadelphia's prestigious Springhill Chestnut Hill Academy, on what it looks like to raise the entrepreneurs of tomorrow, how to navigate AI in the education space, and what it means to be a parent and teacher in this age of transition.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Whether you're a first time listener or a longtime fan, you're safe to think we're pretty AI forward here. But in all our talk about AI being the future, it can be easy to lose sight of the <em>actual</em> future: our kids.AI is bringing up all kinds of issues critical for both society at large and individual parents, like me. What kind of world are we creating? How will our kids find their place? What does their education to get them ready look like?We're on with Edward Glassman, faculty and leading voice of the AI Task Force at Philadelphia's prestigious Springhill Chestnut Hill Academy, on what it looks like to raise the entrepreneurs of tomorrow, how to navigate AI in the education space, and what it means to be a parent and teacher in this age of transition.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2933</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d30e7d2a-0f4d-466b-b5eb-5f81450b4df8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3474578848.mp3?updated=1776127247" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>AI Funnels Masterclass w/Justin Hardy (SPECIAL VIDEO EP)</title>
      <description>Summary

In this conversation, Liam Lawson interviews Justin Hardy, an expert in building funnels. They discuss the importance of using funnels for conversions and how AI can speed up the funnel creation process. Justin provides a step-by-step guide on building AI funnels and shares insights on creating effective sales pages. He emphasizes the need to focus on one skill, find an AI tool that augments it, and become really good at it. Justin also highlights the opportunities that AI brings for entrepreneurs and advises starting small and growing from there.



Chapters

00:00 Introduction to Justin Hardy and Funnel Building

02:24 Understanding Funnels and their Benefits

05:46 Using AI to Speed Up Funnel Creation

10:32 Step-by-Step Guide to Building Sales Pages

14:41 Using AI Prompts to Create Landing Page Copy

20:26 Opportunities for Entrepreneurs in the AI Era

38:00 Advice for Starting a Business in the AI Era



Connect with Justin

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Sat, 17 Aug 2024 12:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/268a3cee-34de-11f1-8875-2b578cd093f5/image/e6b2c0c2ccd41ae10342187fdba3cd0c.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

In this conversation, Liam Lawson interviews Justin Hardy, an expert in building funnels. They discuss the importance of using funnels for conversions and how AI can speed up the funnel creation process. Justin provides a step-by-step guide on building AI funnels and shares insights on creating effective sales pages. He emphasizes the need to focus on one skill, find an AI tool that augments it, and become really good at it. Justin also highlights the opportunities that AI brings for entrepreneurs and advises starting small and growing from there.



Chapters

00:00 Introduction to Justin Hardy and Funnel Building

02:24 Understanding Funnels and their Benefits

05:46 Using AI to Speed Up Funnel Creation

10:32 Step-by-Step Guide to Building Sales Pages

14:41 Using AI Prompts to Create Landing Page Copy

20:26 Opportunities for Entrepreneurs in the AI Era

38:00 Advice for Starting a Business in the AI Era



Connect with Justin

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>In this conversation, Liam Lawson interviews Justin Hardy, an expert in building funnels. They discuss the importance of using funnels for conversions and how AI can speed up the funnel creation process. Justin provides a step-by-step guide on building AI funnels and shares insights on creating effective sales pages. He emphasizes the need to focus on one skill, find an AI tool that augments it, and become really good at it. Justin also highlights the opportunities that AI brings for entrepreneurs and advises starting small and growing from there.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p>00:00 Introduction to Justin Hardy and Funnel Building</p>
<p>02:24 Understanding Funnels and their Benefits</p>
<p>05:46 Using AI to Speed Up Funnel Creation</p>
<p>10:32 Step-by-Step Guide to Building Sales Pages</p>
<p>14:41 Using AI Prompts to Create Landing Page Copy</p>
<p>20:26 Opportunities for Entrepreneurs in the AI Era</p>
<p>38:00 Advice for Starting a Business in the AI Era</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/justinhardy4/">Connect with Justin</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2689</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7b9d3257-2719-429d-83cd-4a64f3192c3a]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5714252897.mp3?updated=1776343831" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup 916AUG24)</title>
      <description>On today's news roundup: Grok-2 Launches, Google's Gemini Live comes for ChatGPT, and Elon Musk is accused of data theft. Again.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 16 Aug 2024 05:09:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/26f7aff4-34de-11f1-8875-2b3fa1657971/image/eb3407387a46ae29e916cf9baf4a242d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On today's news roundup: Grok-2 Launches, Google's Gemini Live comes for ChatGPT, and Elon Musk is accused of data theft. Again.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today's news roundup: Grok-2 Launches, Google's Gemini Live comes for ChatGPT, and Elon Musk is accused of data theft. Again.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>184</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[885b3e20-bcfd-4593-b46b-684d83d2526e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1306265577.mp3?updated=1776260498" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>22K LinkedIn Followers with Weekends &amp; AI — Charlie Hills</title>
      <description>Summary



In this episode, Liam interviews Charlie Hills, founder of Cognified and editor-in-chief at Martek AI. They discuss Charlie's journey as an entrepreneur, his early experiences with AI, and his current ventures. Charlie shares insights on time management, personal branding, and the lessons he learned from his food tech startup. Charlie Hills shares his experience in the virtual brand space and the challenges he faced, including the difficulty of hiring talented and ambitious individuals. He also discusses his journey on LinkedIn, the importance of engaging with others, and the impact of AI on content creation. Charlie emphasizes the need for patience, focusing on the quality of work, and enjoying the process. He also highlights the potential of AI agents and encourages people to get started and experiment with AI.



Chapters



00:00 Introduction and Background

03:03 The Impact of AI on Customer Loyalty

06:00 Building a Personal Brand on LinkedIn

10:04 Monetizing a Personal Brand

12:13 Lessons from Running a Food Tech Startup

20:54 Transitioning to Freelance Work

24:43 The Risks of Ordering from Virtual Brands on Delivery Platforms

28:13 Bringing Personality and Creativity to B2B Content

49:39 AI Trends: Top Models and the Future of AI Agents

52:56 Getting Started with AI: Take the First Step

55:10 Connect with Charlie Hills on LinkedIn for AI and Marketing Insights



Connect with Charlie



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 15 Aug 2024 10:30:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/275d6d26-34de-11f1-8875-0b6a4cc8494d/image/9e3506027aa725fcbc3fccbc00b28cc5.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary



In this episode, Liam interviews Charlie Hills, founder of Cognified and editor-in-chief at Martek AI. They discuss Charlie's journey as an entrepreneur, his early experiences with AI, and his current ventures. Charlie shares insights on time management, personal branding, and the lessons he learned from his food tech startup. Charlie Hills shares his experience in the virtual brand space and the challenges he faced, including the difficulty of hiring talented and ambitious individuals. He also discusses his journey on LinkedIn, the importance of engaging with others, and the impact of AI on content creation. Charlie emphasizes the need for patience, focusing on the quality of work, and enjoying the process. He also highlights the potential of AI agents and encourages people to get started and experiment with AI.



Chapters



00:00 Introduction and Background

03:03 The Impact of AI on Customer Loyalty

06:00 Building a Personal Brand on LinkedIn

10:04 Monetizing a Personal Brand

12:13 Lessons from Running a Food Tech Startup

20:54 Transitioning to Freelance Work

24:43 The Risks of Ordering from Virtual Brands on Delivery Platforms

28:13 Bringing Personality and Creativity to B2B Content

49:39 AI Trends: Top Models and the Future of AI Agents

52:56 Getting Started with AI: Take the First Step

55:10 Connect with Charlie Hills on LinkedIn for AI and Marketing Insights



Connect with Charlie



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Summary</p>
<p><br></p>
<p>In this episode, Liam interviews Charlie Hills, founder of Cognified and editor-in-chief at Martek AI. They discuss Charlie's journey as an entrepreneur, his early experiences with AI, and his current ventures. Charlie shares insights on time management, personal branding, and the lessons he learned from his food tech startup. Charlie Hills shares his experience in the virtual brand space and the challenges he faced, including the difficulty of hiring talented and ambitious individuals. He also discusses his journey on LinkedIn, the importance of engaging with others, and the impact of AI on content creation. Charlie emphasizes the need for patience, focusing on the quality of work, and enjoying the process. He also highlights the potential of AI agents and encourages people to get started and experiment with AI.</p>
<p><br></p>
<p>Chapters</p>
<p><br></p>
<p>00:00 Introduction and Background</p>
<p>03:03 The Impact of AI on Customer Loyalty</p>
<p>06:00 Building a Personal Brand on LinkedIn</p>
<p>10:04 Monetizing a Personal Brand</p>
<p>12:13 Lessons from Running a Food Tech Startup</p>
<p>20:54 Transitioning to Freelance Work</p>
<p>24:43 The Risks of Ordering from Virtual Brands on Delivery Platforms</p>
<p>28:13 Bringing Personality and Creativity to B2B Content</p>
<p>49:39 AI Trends: Top Models and the Future of AI Agents</p>
<p>52:56 Getting Started with AI: Take the First Step</p>
<p>55:10 Connect with Charlie Hills on LinkedIn for AI and Marketing Insights</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/charlie-hills/">Connect with Charlie</a></p>
<p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3420</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9a28d0a1-3ebc-4734-b032-629e2d8074e2]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9706686933.mp3?updated=1776127291" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title> The Metrics of Success- A labor economist &amp; the data that makes us human</title>
      <description>Data makes the world go round. And with the advent of generative AI, it's not going to slow down. If that makes you uncomfortable, you're not alone.



Today we have Dr. Philip Seegers, labor economist and researcher, on how data really does make incredibly accurate predictions of success in both education and work, and why gen AI is something we genuinely need to embrace... IF we can do a better job of addressing our own biases.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 13 Aug 2024 06:20:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/27c327a6-34de-11f1-8875-efa5f6967121/image/54ad693d6bbaf7bf019a672dc2fcf0d0.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Data makes the world go round. And with the advent of generative AI, it's not going to slow down. If that makes you uncomfortable, you're not alone.



Today we have Dr. Philip Seegers, labor economist and researcher, on how data really does make incredibly accurate predictions of success in both education and work, and why gen AI is something we genuinely need to embrace... IF we can do a better job of addressing our own biases.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Data makes the world go round. And with the advent of generative AI, it's not going to slow down. If that makes you uncomfortable, you're not alone.</p>
<p><br></p>
<p>Today we have Dr. Philip Seegers, labor economist and researcher, on how data really does make incredibly accurate predictions of success in both education and work, and why gen AI is something we genuinely need to embrace... IF we can do a better job of addressing our own biases.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3031</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d2350f36-2104-4c3d-9d18-cd4340e085e1]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8450750333.mp3?updated=1776127198" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (9AUG24)</title>
      <description>On today's news roundup: 

- OpenAI secrets

- A guilty Google 

- The smartest robot ever

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 09 Aug 2024 16:39:47 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/282afa52-34de-11f1-8875-733541511a6a/image/59443f4c65f61725e68cf0c813c15f20.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On today's news roundup: 

- OpenAI secrets

- A guilty Google 

- The smartest robot ever

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today's news roundup: </p>
<p>- OpenAI secrets</p>
<p>- A guilty Google </p>
<p>- The smartest robot ever</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>179</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1f5b61b3-707b-4d2e-823c-6613aaf6836b]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7252330839.mp3?updated=1776260412" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>The future of AI &amp; Education — Thomas Thompson (EduaideAI)</title>
      <description>Summary

Thomas Thompson, co-founder and CEO of EduAid, discusses his background as a teacher and the inspiration behind creating a tool for instructional design that uses generative AI. He emphasizes the importance of evidence-based practices in education and how AI can support teachers in creating more efficient and effective lessons. The EduAid platform allows teachers to integrate various tools and resources into one workspace, making lesson planning more streamlined and personalized. The team at EduAid aims to provide accessible and affordable AI tools for teachers, focusing on the quality of instruction rather than just saving time. Thompson also discusses the challenges and opportunities in the education technology landscape and the need for thoughtful adoption of AI in schools. In this conversation, Thomas Thompson discusses the adaptation of eduAID to different states' regulations and the importance of data privacy. He explains how eduAID avoids collecting personally identifiable information and focuses on instructional design elements. Thomas also talks about the lack of AI tools specifically focused on teachers and education. He mentions the need for discussions with policymakers to further develop eduAID and the challenges of integrating AI into the education system. The ultimate goal of education, according to Thomas, is sustainability and the development of basic literacy, numeracy, and interdisciplinary thinking skills.



Chapters



00:00 Introduction and Background

03:47 Thomas Thompson's Journey into Teaching

06:01 The Intersection of AI and Education

09:12 Best Practices in Education and AI's Role

14:00 Introduction to AI and the Genesis of EduAid

17:12 Transition from Teaching to Starting an AI Company

23:44 Exploring the Components of EduAid

28:38 Enhancing Teaching and Planning with EduAid

31:24 Feedback and Value of EduAid for Teachers

34:33 Affordable AI Tools

38:15 The Role of a Small Distributed Team

46:08 The Slow Pace of Policy Development

51:21 Developing Frameworks and Policy

57:10 Diversity of Opinions Among Teachers

01:01:52 The Future of Education

01:03:50 The Foundation: Basic Literacy and Numeracy Skills

01:12:28 The Goal of Education: Sustainability

01:22:01 The Decline in Basic Numeracy and Literacy Skills

01:27:06 Building and Growing in the AI Space: Caution and Research



Connect with Thomas



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 08 Aug 2024 13:11:10 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/289529c2-34de-11f1-8875-a310c539d847/image/8c19c39dd08faea31c7bec43332f2512.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Summary

Thomas Thompson, co-founder and CEO of EduAid, discusses his background as a teacher and the inspiration behind creating a tool for instructional design that uses generative AI. He emphasizes the importance of evidence-based practices in education and how AI can support teachers in creating more efficient and effective lessons. The EduAid platform allows teachers to integrate various tools and resources into one workspace, making lesson planning more streamlined and personalized. The team at EduAid aims to provide accessible and affordable AI tools for teachers, focusing on the quality of instruction rather than just saving time. Thompson also discusses the challenges and opportunities in the education technology landscape and the need for thoughtful adoption of AI in schools. In this conversation, Thomas Thompson discusses the adaptation of eduAID to different states' regulations and the importance of data privacy. He explains how eduAID avoids collecting personally identifiable information and focuses on instructional design elements. Thomas also talks about the lack of AI tools specifically focused on teachers and education. He mentions the need for discussions with policymakers to further develop eduAID and the challenges of integrating AI into the education system. The ultimate goal of education, according to Thomas, is sustainability and the development of basic literacy, numeracy, and interdisciplinary thinking skills.



Chapters



00:00 Introduction and Background

03:47 Thomas Thompson's Journey into Teaching

06:01 The Intersection of AI and Education

09:12 Best Practices in Education and AI's Role

14:00 Introduction to AI and the Genesis of EduAid

17:12 Transition from Teaching to Starting an AI Company

23:44 Exploring the Components of EduAid

28:38 Enhancing Teaching and Planning with EduAid

31:24 Feedback and Value of EduAid for Teachers

34:33 Affordable AI Tools

38:15 The Role of a Small Distributed Team

46:08 The Slow Pace of Policy Development

51:21 Developing Frameworks and Policy

57:10 Diversity of Opinions Among Teachers

01:01:52 The Future of Education

01:03:50 The Foundation: Basic Literacy and Numeracy Skills

01:12:28 The Goal of Education: Sustainability

01:22:01 The Decline in Basic Numeracy and Literacy Skills

01:27:06 Building and Growing in the AI Space: Caution and Research



Connect with Thomas



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Summary</strong></p>
<p>Thomas Thompson, co-founder and CEO of EduAid, discusses his background as a teacher and the inspiration behind creating a tool for instructional design that uses generative AI. He emphasizes the importance of evidence-based practices in education and how AI can support teachers in creating more efficient and effective lessons. The EduAid platform allows teachers to integrate various tools and resources into one workspace, making lesson planning more streamlined and personalized. The team at EduAid aims to provide accessible and affordable AI tools for teachers, focusing on the quality of instruction rather than just saving time. Thompson also discusses the challenges and opportunities in the education technology landscape and the need for thoughtful adoption of AI in schools. In this conversation, Thomas Thompson discusses the adaptation of eduAID to different states' regulations and the importance of data privacy. He explains how eduAID avoids collecting personally identifiable information and focuses on instructional design elements. Thomas also talks about the lack of AI tools specifically focused on teachers and education. He mentions the need for discussions with policymakers to further develop eduAID and the challenges of integrating AI into the education system. The ultimate goal of education, according to Thomas, is sustainability and the development of basic literacy, numeracy, and interdisciplinary thinking skills.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p><br></p>
<p>00:00 Introduction and Background</p>
<p>03:47 Thomas Thompson's Journey into Teaching</p>
<p>06:01 The Intersection of AI and Education</p>
<p>09:12 Best Practices in Education and AI's Role</p>
<p>14:00 Introduction to AI and the Genesis of EduAid</p>
<p>17:12 Transition from Teaching to Starting an AI Company</p>
<p>23:44 Exploring the Components of EduAid</p>
<p>28:38 Enhancing Teaching and Planning with EduAid</p>
<p>31:24 Feedback and Value of EduAid for Teachers</p>
<p>34:33 Affordable AI Tools</p>
<p>38:15 The Role of a Small Distributed Team</p>
<p>46:08 The Slow Pace of Policy Development</p>
<p>51:21 Developing Frameworks and Policy</p>
<p>57:10 Diversity of Opinions Among Teachers</p>
<p>01:01:52 The Future of Education</p>
<p>01:03:50 The Foundation: Basic Literacy and Numeracy Skills</p>
<p>01:12:28 The Goal of Education: Sustainability</p>
<p>01:22:01 The Decline in Basic Numeracy and Literacy Skills</p>
<p>01:27:06 Building and Growing in the AI Space: Caution and Research</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/thomas-thompson-606b71112/">Connect with Thomas</a></p>
<p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>5747</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a54d1e96-4538-4690-933a-091de394e80f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5428717153.mp3?updated=1776127285" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Building AI Tool Report to 500k Subscribers</title>
      <description>Show Notes

In this conversation, Liam Lawson interviews Mark Crowley, the CEO and founder of AI Tool Report. They discuss Mark's journey as an entrepreneur, starting his first company in high school and growing it to success. They also talk about the genesis of AI Tool Report and how it has evolved over time. Mark shares his insights on hiring the right people, focusing on strengths, and the importance of market feedback. They also discuss the role of AI in their daily processes and the future of AI Tool Report.



Chapters

00:00 Introduction and Background

01:26 Starting Spark Six Media in High School

08:42 Entrepreneurship and College

18:08 Genesis of AI Tool Report

23:20 Lessons Learned and Future Plans

32:36 The Future of AI Tool Report



Connect with Martin here

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 01 Aug 2024 10:30:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/28fb9d74-34de-11f1-8875-b37c915eadf3/image/0bc3f5624ebdb7b81a8f8274cd5f5255.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Show Notes

In this conversation, Liam Lawson interviews Mark Crowley, the CEO and founder of AI Tool Report. They discuss Mark's journey as an entrepreneur, starting his first company in high school and growing it to success. They also talk about the genesis of AI Tool Report and how it has evolved over time. Mark shares his insights on hiring the right people, focusing on strengths, and the importance of market feedback. They also discuss the role of AI in their daily processes and the future of AI Tool Report.



Chapters

00:00 Introduction and Background

01:26 Starting Spark Six Media in High School

08:42 Entrepreneurship and College

18:08 Genesis of AI Tool Report

23:20 Lessons Learned and Future Plans

32:36 The Future of AI Tool Report



Connect with Martin here

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p><strong>Show Notes</strong></p>
<p>In this conversation, Liam Lawson interviews Mark Crowley, the CEO and founder of AI Tool Report. They discuss Mark's journey as an entrepreneur, starting his first company in high school and growing it to success. They also talk about the genesis of AI Tool Report and how it has evolved over time. Mark shares his insights on hiring the right people, focusing on strengths, and the importance of market feedback. They also discuss the role of AI in their daily processes and the future of AI Tool Report.</p>
<p><br></p>
<p><strong>Chapters</strong></p>
<p>00:00 Introduction and Background</p>
<p>01:26 Starting Spark Six Media in High School</p>
<p>08:42 Entrepreneurship and College</p>
<p>18:08 Genesis of AI Tool Report</p>
<p>23:20 Lessons Learned and Future Plans</p>
<p>32:36 The Future of AI Tool Report</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/crowleymartin/">Connect with Martin here</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2859</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[54ae41d0-c6eb-41ca-8ed9-de1c75aeb92e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1053212612.mp3?updated=1776127097" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Damien Riehl &amp; the Mathematical Limit of Creativity</title>
      <description>We're on with Damien Riehl, the man who famously copyrighted every melody that is and ever will be, only to put them in the public domain. His reasoning: to raise the bar of what we've traditionally thought of as "creativity". Join us as we explore why we should question the idea of people being able to trademark and patent creativity, as well as what the rise of AI means for artists, musicians, and creators.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 30 Jul 2024 08:24:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>2</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2968d1fa-34de-11f1-8875-9b2a4bb2ca10/image/1a761293d4a82f1be628a4b485d8d783.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We're on with Damien Riehl, the man who famously copyrighted every melody that is and ever will be, only to put them in the public domain. His reasoning: to raise the bar of what we've traditionally thought of as "creativity". Join us as we explore why we should question the idea of people being able to trademark and patent creativity, as well as what the rise of AI means for artists, musicians, and creators.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We're on with Damien Riehl, the man who famously copyrighted every melody that is and ever will be, only to put them in the public domain. His reasoning: to raise the bar of what we've traditionally thought of as "creativity". Join us as we explore why we should question the idea of people being able to trademark and patent creativity, as well as what the rise of AI means for artists, musicians, and creators.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2689</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[09cb7fa7-80c3-4ed7-a840-596b99e164c8]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7006110946.mp3?updated=1776126989" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (22JUL24)</title>
      <description>On this week's news roundup: The French come after OpenAI, Musk makes another bold declaration, and Meta jumps into the open-source AI ring.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 26 Jul 2024 19:40:45 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/29e4bf7c-34de-11f1-8875-03c3007c0611/image/1e213e11c41067b54db703c0f30f9194.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this week's news roundup: The French come after OpenAI, Musk makes another bold declaration, and Meta jumps into the open-source AI ring.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week's news roundup: The French come after OpenAI, Musk makes another bold declaration, and Meta jumps into the open-source AI ring.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>154</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[c7c0df93-95ea-4510-8229-ce366212e9bf]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4452088818.mp3?updated=1776343732" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (21JUN24)</title>
      <description>On today's news roundup: Meta pauses its plans in the EU and splits in two, while former OpenAI chief scientist goes all-in on AI safety.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 21 Jun 2024 17:00:33 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2a66a10e-34de-11f1-8875-674e089bd6f5/image/a86c3ab135f19f682e15300179121f37.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On today's news roundup: Meta pauses its plans in the EU and splits in two, while former OpenAI chief scientist goes all-in on AI safety.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today's news roundup: Meta pauses its plans in the EU and splits in two, while former OpenAI chief scientist goes all-in on AI safety.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>165</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1f414e00-94b6-4b2c-853c-8cd7edbe964e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4321413313.mp3?updated=1776343756" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Global Employment &amp; Upskilling with AI</title>
      <description>AI is changing the employment game on both sides. Applicants are looking for new ways to differentiate themselves and remain relevant, while employers are trying to balance rapidly shifting technology alongside very real security and liability concerns.



Perhaps no one is better positioned to share insight into this tug of war than Santiago Nisnik, head of product development at Athyna (one of the leading international hiring firms). From the perspective of years of data, coupled with hundreds of applicants and employers, Santiago shares why AI is about to transform the hiring process and how new opportunities will touch the global employment pool.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 18 Jun 2024 05:23:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>28</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ae8006e-34de-11f1-8875-3b290a9a3e13/image/a9d7b358f1322722c7f51501ad5b2b6f.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>AI is changing the employment game on both sides. Applicants are looking for new ways to differentiate themselves and remain relevant, while employers are trying to balance rapidly shifting technology alongside very real security and liability concerns.



Perhaps no one is better positioned to share insight into this tug of war than Santiago Nisnik, head of product development at Athyna (one of the leading international hiring firms). From the perspective of years of data, coupled with hundreds of applicants and employers, Santiago shares why AI is about to transform the hiring process and how new opportunities will touch the global employment pool.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI is changing the employment game on both sides. Applicants are looking for new ways to differentiate themselves and remain relevant, while employers are trying to balance rapidly shifting technology alongside very real security and liability concerns.</p>
<p><br></p>
<p>Perhaps no one is better positioned to share insight into this tug of war than Santiago Nisnik, head of product development at Athyna (one of the leading international hiring firms). From the perspective of years of data, coupled with hundreds of applicants and employers, Santiago shares why AI is about to transform the hiring process and how new opportunities will touch the global employment pool.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1976</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[84535242-587c-4d93-89c0-fdf18cfafad1]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2517273161.mp3?updated=1776126882" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (13JUN24)</title>
      <description>On today's news roundup, Apple finally reveals its AI, which prompts Elon Musk to issue them an ultimatum, which is immediately followed by Musk dropping his OpenAI lawsuit. 



Thing happen fast around here.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 14 Jun 2024 06:32:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2b6e0196-34de-11f1-8875-1b40b27fcc70/image/ea4a3d8faeaa16ef639bcd33023456a3.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On today's news roundup, Apple finally reveals its AI, which prompts Elon Musk to issue them an ultimatum, which is immediately followed by Musk dropping his OpenAI lawsuit. 



Thing happen fast around here.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On today's news roundup, Apple finally reveals its AI, which prompts Elon Musk to issue them an ultimatum, which is immediately followed by Musk dropping his OpenAI lawsuit. </p>
<p><br></p>
<p>Thing happen fast around here.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>172</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[507222ae-6800-4789-b3f0-d0528fda864b]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6033340394.mp3?updated=1776343802" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>SHRM &amp; the coming Human Resource Renaissance</title>
      <description>I've said this before, and I'll say it again:AI isn't smart, it's fast.It can't "take" your job, especially if you're staying on top of things. Yes, there's a steep learning curve to using generative AI. But if we're honest, that curve is less about the technology and more about the fact that humans are just naturally obstinate creatures.To help drive this point home, we're on with Ray Hayden, Senior instructional designer at the Society of Human Resource Management (SHRM to its friends), who shares his thoughts on why it can be hard to learn something new, and why the success of AI is impossible without the human touch.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 11 Jun 2024 05:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>27</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c01a7f2-34de-11f1-8875-a3e47f6e6b89/image/feae13483a15e5082fd52cf2cb799af6.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>I've said this before, and I'll say it again:AI isn't smart, it's fast.It can't "take" your job, especially if you're staying on top of things. Yes, there's a steep learning curve to using generative AI. But if we're honest, that curve is less about the technology and more about the fact that humans are just naturally obstinate creatures.To help drive this point home, we're on with Ray Hayden, Senior instructional designer at the Society of Human Resource Management (SHRM to its friends), who shares his thoughts on why it can be hard to learn something new, and why the success of AI is impossible without the human touch.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>I've said this before, and I'll say it again:AI isn't smart, it's fast.It can't "take" your job, especially if you're staying on top of things. Yes, there's a steep learning curve to using generative AI. But if we're honest, that curve is less about the technology and more about the fact that humans are just naturally obstinate creatures.To help drive this point home, we're on with Ray Hayden, Senior instructional designer at the Society of Human Resource Management (SHRM to its friends), who shares his thoughts on why it can be hard to learn something new, and why the success of AI is impossible without the human touch.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1582</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[55f5ec52-fb91-49b7-8f73-d9368da8c2c9]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6624972250.mp3?updated=1776126818" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (6JUN24)</title>
      <description>On this week's news roundup: Hugging Face has a major security breach, Microsoft lays the groundwork for a future cyber security disaster, and the OpenAI/Google whistleblower saga continues.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 06 Jun 2024 05:22:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2c7dc3be-34de-11f1-8875-d731c3a4499b/image/e05390583f02757bdf47eed002cf5afa.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this week's news roundup: Hugging Face has a major security breach, Microsoft lays the groundwork for a future cyber security disaster, and the OpenAI/Google whistleblower saga continues.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week's news roundup: Hugging Face has a major security breach, Microsoft lays the groundwork for a future cyber security disaster, and the OpenAI/Google whistleblower saga continues.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>172</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[19fdb364-f8b2-455b-b32b-19e408266fdf]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2330277853.mp3?updated=1776343839" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Predictive Analytics &amp; the Business of College Admissions</title>
      <description>Though AI gets thrown around a lot, the reality is the underlying architecture has been around for a LONG time. Specifically, predictive analytics has been a lynchpin of everything from economics and farming, to baseball and video games.



One of the most important, and lesser known, implementations is the U.S. college admissions process. Over the last few decades, the cost of higher education in the United States has skyrocketed (with no signs of slowing down). Much of this has to do with predictive analytics and the business of "strategic enrollment management". That is, the science of maximizing students applications while minimizing financial aid.



We're on with Alan Katzman, founder of Social Assurity, on how he's watching the data flow from students to college, his experience around the metrics that dictate who gets how much for college, and his thoughts on how AI is primed to upend the entire system.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 04 Jun 2024 05:14:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>26</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2d056012-34de-11f1-8875-1bc5cb9612b8/image/27893693eeb27a8f0ba9e997a269c43e.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Though AI gets thrown around a lot, the reality is the underlying architecture has been around for a LONG time. Specifically, predictive analytics has been a lynchpin of everything from economics and farming, to baseball and video games.



One of the most important, and lesser known, implementations is the U.S. college admissions process. Over the last few decades, the cost of higher education in the United States has skyrocketed (with no signs of slowing down). Much of this has to do with predictive analytics and the business of "strategic enrollment management". That is, the science of maximizing students applications while minimizing financial aid.



We're on with Alan Katzman, founder of Social Assurity, on how he's watching the data flow from students to college, his experience around the metrics that dictate who gets how much for college, and his thoughts on how AI is primed to upend the entire system.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Though AI gets thrown around a lot, the reality is the underlying architecture has been around for a LONG time. Specifically, predictive analytics has been a lynchpin of everything from economics and farming, to baseball and video games.</p>
<p><br></p>
<p>One of the most important, and lesser known, implementations is the U.S. college admissions process. Over the last few decades, the cost of higher education in the United States has skyrocketed (with no signs of slowing down). Much of this has to do with predictive analytics and the business of "strategic enrollment management". That is, the science of maximizing students applications while minimizing financial aid.</p>
<p><br></p>
<p>We're on with Alan Katzman, founder of Social Assurity, on how he's watching the data flow from students to college, his experience around the metrics that dictate who gets how much for college, and his thoughts on how AI is primed to upend the entire system.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3096</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5d50e948-bfda-4e2e-8a15-c3ecd1965a79]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8950715963.mp3?updated=1776126755" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (31MAY24)</title>
      <description>This week's news roundup continues the Sam Altman and OpenAI saga, and bring Elon Musk back into our collective consciousness.



Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 31 May 2024 05:33:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2d8d8460-34de-11f1-8875-cf20c49f9600/image/cd9a229404d0dfe4cac21d38365a54b8.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's news roundup continues the Sam Altman and OpenAI saga, and bring Elon Musk back into our collective consciousness.



Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's news roundup continues the Sam Altman and OpenAI saga, and bring Elon Musk back into our collective consciousness.</p>
<p><br></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>154</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0b349b10-f6e5-45df-b0ae-26a5716e489c]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6076265309.mp3?updated=1776343905" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Wifi + AI Lets You See Like Batman - Origin CCO Talks Wifi Sensing</title>
      <description>With so much clickbait, you'd be forgiven for thinking generative AI was only for making pictures of world leaders as animals and frightening us with imitations of consciousness. But the possibilities of generative AI are endless, especially when combined with existing technology like Wifi.



We're on with Origin Wifi CCO Tony Nicolaidis on what exactly is wifi sensing technology, why it's primed to disrupt everything from security to daycares, and how AI is boosting it's processing on an exponential curve.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 28 May 2024 05:50:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>25</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2dfa5efa-34de-11f1-8875-fb06ce6ccbe3/image/16ad495760b5a9e18b4bbee4bbee901d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>With so much clickbait, you'd be forgiven for thinking generative AI was only for making pictures of world leaders as animals and frightening us with imitations of consciousness. But the possibilities of generative AI are endless, especially when combined with existing technology like Wifi.



We're on with Origin Wifi CCO Tony Nicolaidis on what exactly is wifi sensing technology, why it's primed to disrupt everything from security to daycares, and how AI is boosting it's processing on an exponential curve.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>With so much clickbait, you'd be forgiven for thinking generative AI was only for making pictures of world leaders as animals and frightening us with imitations of consciousness. But the possibilities of generative AI are endless, especially when combined with existing technology like Wifi.</p>
<p><br></p>
<p>We're on with Origin Wifi CCO Tony Nicolaidis on what exactly is wifi sensing technology, why it's primed to disrupt everything from security to daycares, and how AI is boosting it's processing on an exponential curve.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2221</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2b1cb396-aa4b-4aa5-bdd0-910e15720d3b]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5147484664.mp3?updated=1776126668" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (24MAY24)</title>
      <description>This week's recap is entirely focused on AI safety, or possibly the lack thereof.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 24 May 2024 11:48:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2e5bb09c-34de-11f1-8875-d3325d39dbd0/image/82d623f2c1a9c0a6b41d905c272e9773.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's recap is entirely focused on AI safety, or possibly the lack thereof.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's recap is entirely focused on AI safety, or possibly the lack thereof.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>175</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a44fd8fe-92af-4290-979a-02ac5babf14b]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1348538587.mp3?updated=1776343930" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (17MAY24)</title>
      <description>On this week's news roundup:

- A major ChatGPT upgrade

- Google 3D in 2025

- And even more Google as they add AI to their flagship search

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 17 May 2024 15:26:25 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ebd4c8a-34de-11f1-8875-bfddae314b20/image/ebda5fe363e5e3bcb0480d22cca548ed.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this week's news roundup:

- A major ChatGPT upgrade

- Google 3D in 2025

- And even more Google as they add AI to their flagship search

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week's news roundup:</p>
<p>- A major ChatGPT upgrade</p>
<p>- Google 3D in 2025</p>
<p>- And even more Google as they add AI to their flagship search</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>160</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6bf75815-327a-4336-b881-2fceaafd16a7]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9641367002.mp3?updated=1776343954" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (10MAY24)</title>
      <description>On this week's news roundup:

- A potentially massive AI upgrade for Siri 

- GrokAI to deliver your news

- OpenAI wants YOUR feedback on how its models behave

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 10 May 2024 13:29:15 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2f1fc1f8-34de-11f1-8875-9b58f7a9fe33/image/efb0c0741723f54d4689a6f2c20078df.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this week's news roundup:

- A potentially massive AI upgrade for Siri 

- GrokAI to deliver your news

- OpenAI wants YOUR feedback on how its models behave

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week's news roundup:</p>
<p>- A potentially massive AI upgrade for Siri </p>
<p>- GrokAI to deliver your news</p>
<p>- OpenAI wants YOUR feedback on how its models behave</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>137</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b30e6349-00ca-4f38-b427-276100960fc9]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8793856384.mp3?updated=1776343979" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E24: OpenAI Consultancy Partner on Enterprise Upskilling with AI</title>
      <description>Generative AI is everywhere, it's the new thing we all can't stop talking about, no matter how much the reasonable people around me ask me to. 

But despite how dominant it is, it's not the end all, be all. Generative AI probably isn't taking your job, and it's almost certainly not going to take over the world. At worst, it's going to give you something new to have to learn, and at best, it'll be a massive boost in your productivity. So why is it so hard for us to just... chill? 

Ash Garner, Co-Founder of tomoro, is on today giving us his perspective on while almost every business has a use for AI, successful integration relies on focusing on the problem to be solved rather than an abstract need to "stay ahead".

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 07 May 2024 05:02:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>24</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2f866aca-34de-11f1-8875-7b22395fc425/image/fbcc97992ad3d993b1e21abeb7cd4af1.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Generative AI is everywhere, it's the new thing we all can't stop talking about, no matter how much the reasonable people around me ask me to. 

But despite how dominant it is, it's not the end all, be all. Generative AI probably isn't taking your job, and it's almost certainly not going to take over the world. At worst, it's going to give you something new to have to learn, and at best, it'll be a massive boost in your productivity. So why is it so hard for us to just... chill? 

Ash Garner, Co-Founder of tomoro, is on today giving us his perspective on while almost every business has a use for AI, successful integration relies on focusing on the problem to be solved rather than an abstract need to "stay ahead".

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Generative AI is everywhere, it's the new thing we all can't stop talking about, no matter how much the reasonable people around me ask me to. </p>
<p>But despite how dominant it is, it's not the end all, be all. Generative AI probably isn't taking your job, and it's almost certainly not going to take over the world. At worst, it's going to give you something new to have to learn, and at best, it'll be a massive boost in your productivity. So why is it so hard for us to just... chill? </p>
<p>Ash Garner, Co-Founder of tomoro, is on today giving us his perspective on while almost every business has a use for AI, successful integration relies on focusing on the problem to be solved rather than an abstract need to "stay ahead".</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2520</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f8320758-6279-450c-9919-8146417f035e]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6052694769.mp3?updated=1776126426" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (3MAY24)</title>
      <description>On this week's news roundup, we cover:

- A notable drop in Meta advertiser confidence

- Apple staffing a secret AI lab with ex-Google staff

- Microsoft to build humanoid robots

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 03 May 2024 17:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/2ff0cef6-34de-11f1-8875-bf66c7cc6470/image/26660fd20f735f757a0d3577cab978aa.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>On this week's news roundup, we cover:

- A notable drop in Meta advertiser confidence

- Apple staffing a secret AI lab with ex-Google staff

- Microsoft to build humanoid robots

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>On this week's news roundup, we cover:</p>
<p>- A notable drop in Meta advertiser confidence</p>
<p>- Apple staffing a secret AI lab with ex-Google staff</p>
<p>- Microsoft to build humanoid robots</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>131</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[6db2db44-2b36-47d4-9b0e-236d1600ff96]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1668388214.mp3?updated=1776344003" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E23: The Singularity of Hope (with Author— Dr. Sam Sammane)</title>
      <description>We humans are funny. On the one hand, we're all about innovation and progress. Yet on the other, we can't help but speculate about endless doomsday scenarios. From ancient apocalypses to Y2K and 2012, we love to focus on the next thing that will definitely destroy us. AI is the next end du jour. 



But not everyone sees it that way.



Dr. Sam Samman, with scroll of credentials and veritable alphabet of honorifics, sees a near future where humans are augmented by AI. One where the speed of innovation is limited only by the speed of thought. In this future, as in the title of his book, we all attain the Singularity of Hope.



Click to order your copy of The Singularity of Hope.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 30 Apr 2024 05:58:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>23</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/306321ea-34de-11f1-8875-ff254ab0b75b/image/0e2c85d00f2b8be7bf16c0ea2ecd2f07.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We humans are funny. On the one hand, we're all about innovation and progress. Yet on the other, we can't help but speculate about endless doomsday scenarios. From ancient apocalypses to Y2K and 2012, we love to focus on the next thing that will definitely destroy us. AI is the next end du jour. 



But not everyone sees it that way.



Dr. Sam Samman, with scroll of credentials and veritable alphabet of honorifics, sees a near future where humans are augmented by AI. One where the speed of innovation is limited only by the speed of thought. In this future, as in the title of his book, we all attain the Singularity of Hope.



Click to order your copy of The Singularity of Hope.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We humans are funny. On the one hand, we're all about innovation and progress. Yet on the other, we can't help but speculate about endless doomsday scenarios. From ancient apocalypses to Y2K and 2012, we love to focus on the next thing that will definitely destroy us. AI is the next end du jour. </p>
<p><br></p>
<p>But not everyone sees it that way.</p>
<p><br></p>
<p>Dr. Sam Samman, with scroll of credentials and veritable alphabet of honorifics, sees a near future where humans are augmented by AI. One where the speed of innovation is limited only by the speed of thought. In this future, as in the title of his book, we all attain the Singularity of Hope.</p>
<p><br></p>
<p><a href="https://www.amazon.com/Singularity-Hope-Humanitys-AI-Dominated-Future-ebook/dp/B0CVNLBGSG">Click to order your copy of The Singularity of Hope.</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2474</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9ce0d790-781c-47b7-8c0e-fe856fe04e85]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7916084234.mp3?updated=1776126369" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (26APR24)</title>
      <description>This week's news roundup covers Microsoft making the Mona Lisa rap, Apple acquiring yet another AI startup, and industry giants coming together to protect our kids. Let's get to it.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 26 Apr 2024 14:29:08 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/30c85c04-34de-11f1-8875-7f224b988cff/image/a3bd7d9eaf1e0e8f278c8010d58b6238.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's news roundup covers Microsoft making the Mona Lisa rap, Apple acquiring yet another AI startup, and industry giants coming together to protect our kids. Let's get to it.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's news roundup covers Microsoft making the Mona Lisa rap, Apple acquiring yet <em>another</em> AI startup, and industry giants coming together to protect our kids. Let's get to it.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>146</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[0eb714b9-9dd7-4101-96ad-7bbca1650239]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5290471902.mp3?updated=1776344038" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E22: Tak Lo on Leadership, Discipline, and Vision in the AI Age</title>
      <description>We're all adverse to change. If you think I'm wrong, ask your therapist.But if you've been anywhere near the internet this last year, I think you'd agree that change is actively happening, right now. The explosion of generative AI shows no signs of slowing down, promising a seismic shift in how we interact with and leverage technology in virtually every aspect of our lives. It's exciting, wondrous, and definitely scary.We're on today with Tak Lo, founder, veteran, and serial entrepreneur on what it means to retain the singular quality that separates us from AI, and how we should all strive to reconnect with that humanity as leaders for our organizations and ourselves as we enter the age of Artificial intelligence.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 23 Apr 2024 06:50:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>22</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/312cce28-34de-11f1-8875-a3c298dfc113/image/afc605495ed71e342d5d0214fc2f2f1e.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We're all adverse to change. If you think I'm wrong, ask your therapist.But if you've been anywhere near the internet this last year, I think you'd agree that change is actively happening, right now. The explosion of generative AI shows no signs of slowing down, promising a seismic shift in how we interact with and leverage technology in virtually every aspect of our lives. It's exciting, wondrous, and definitely scary.We're on today with Tak Lo, founder, veteran, and serial entrepreneur on what it means to retain the singular quality that separates us from AI, and how we should all strive to reconnect with that humanity as leaders for our organizations and ourselves as we enter the age of Artificial intelligence.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We're all adverse to change. If you think I'm wrong, ask your therapist.But if you've been anywhere near the internet this last year, I think you'd agree that change is actively happening, right now. The explosion of generative AI shows no signs of slowing down, promising a seismic shift in how we interact with and leverage technology in virtually every aspect of our lives. It's exciting, wondrous, and definitely scary.We're on today with Tak Lo, founder, veteran, and serial entrepreneur on what it means to retain the singular quality that separates us from AI, and how we should all strive to reconnect with that humanity as leaders for our organizations and ourselves as we enter the age of Artificial intelligence.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2848</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[9a2fbb84-d697-4b72-941d-12ae50f77830]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1747285237.mp3?updated=1776126347" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (19APR24)</title>
      <description>This week's top news includes:

- Elon Musk sets his sight son ChatGPT

- OpenAI lands in Japan

- Microsoft makes a $1.5 billion global AI move

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 19 Apr 2024 13:04:47 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/318f7938-34de-11f1-8875-07a0456af70c/image/37c6636da2b46b9a4a3f909be76ef38d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's top news includes:

- Elon Musk sets his sight son ChatGPT

- OpenAI lands in Japan

- Microsoft makes a $1.5 billion global AI move

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's top news includes:</p>
<p>- Elon Musk sets his sight son ChatGPT</p>
<p>- OpenAI lands in Japan</p>
<p>- Microsoft makes a $1.5 billion global AI move</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>133</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f0e457a2-03ed-4aa3-a201-af670ba5aad0]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9156746234.mp3?updated=1776344070" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (12APR2024)</title>
      <description>This week's top stories include:

- DALL-E adds new photo editing tools

- OpenAI changes its usage policy

- Intel aims to dethrone NVIDIA

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 12 Apr 2024 17:24:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/31f1da56-34de-11f1-8875-a3c58b924629/image/67ee26a2951f9afc9d1c4afb800e3c46.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's top stories include:

- DALL-E adds new photo editing tools

- OpenAI changes its usage policy

- Intel aims to dethrone NVIDIA

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's top stories include:</p>
<p>- DALL-E adds new photo editing tools</p>
<p>- OpenAI changes its usage policy</p>
<p>- Intel aims to dethrone NVIDIA</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>135</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5468800b-4f81-40e7-b0b3-d2185776b2ad]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3792753557.mp3?updated=1776344097" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (5APR24)</title>
      <description>This week's top stories include Open AI's voice replication, Apple surpassing GPT 4, and Google considering starting to charge for searches.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 05 Apr 2024 16:08:30 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3254636a-34de-11f1-8875-1b23e24daf43/image/7873a9b5c04ed81c0b75640ae88a9af2.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's top stories include Open AI's voice replication, Apple surpassing GPT 4, and Google considering starting to charge for searches.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's top stories include Open AI's voice replication, Apple surpassing GPT 4, and Google considering starting to charge for searches.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>134</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e62598bc-e5b9-4ae7-8167-2dbd2264b181]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9201174535.mp3?updated=1776344124" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E21: Rise (and fall?) of the Chief AI Officer</title>
      <description>How do you feel about AI giving you financial advice or a medical diagnosis? Would you be comfortable on a transcontinental flight knowing it's piloted by a machine?



Jared Bonilla, fractional CAIO gives his perspective on the changing face of the workplace and why humans will always want another human to be part of their world.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 02 Apr 2024 04:10:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>21</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/32b71f50-34de-11f1-8875-6b989ab901c9/image/1dc87c2c66a09f8319075dcd24206c02.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>How do you feel about AI giving you financial advice or a medical diagnosis? Would you be comfortable on a transcontinental flight knowing it's piloted by a machine?



Jared Bonilla, fractional CAIO gives his perspective on the changing face of the workplace and why humans will always want another human to be part of their world.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>How do you feel about AI giving you financial advice or a medical diagnosis? Would you be comfortable on a transcontinental flight knowing it's piloted by a machine?</p>
<p><br></p>
<p>Jared Bonilla, fractional CAIO gives his perspective on the changing face of the workplace and why humans will always want another human to be part of their world.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2673</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[ab32f69c-e30e-4143-8af7-bc34f13a9bb7]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5712761593.mp3?updated=1776126238" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Roundup (28MAR24)</title>
      <description>This week's top stories star Sora, Adobe, and Airtable.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 29 Mar 2024 07:08:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/331e8bd6-34de-11f1-8875-c78e514a48bd/image/8d60ab4cff68aeb3e91eeb7fb229b04c.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>This week's top stories star Sora, Adobe, and Airtable.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>This week's top stories star Sora, Adobe, and Airtable.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>119</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4eee6326-c56b-4136-b38a-27c1aae1b3ab]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1436428812.mp3?updated=1776344147" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E20: Fundraising Expert on Accountability in an Automated World</title>
      <description>Think of all the do-overs you'd take if given the chance: businesses, investments, relationships... It's not often in life we get second chances. Which is one of the reason AI is so exciting. It's nearly unbelievable to be riding a wave of change that starts with the technology, builds on the professional, swells in the social, and crashes into philosophy. We're live with Anne Murphy, 25 year veteran fundraiser and early AI adopter to ruminate on how AI is poised to shake up everything from corporate workflows to gender dynamics. I'm Arturo and this is AITR Live.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 26 Mar 2024 04:47:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>20</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3382f3aa-34de-11f1-8875-a7c73c4da4cf/image/f190ebd01f8a663569c105af79117aab.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Think of all the do-overs you'd take if given the chance: businesses, investments, relationships... It's not often in life we get second chances. Which is one of the reason AI is so exciting. It's nearly unbelievable to be riding a wave of change that starts with the technology, builds on the professional, swells in the social, and crashes into philosophy. We're live with Anne Murphy, 25 year veteran fundraiser and early AI adopter to ruminate on how AI is poised to shake up everything from corporate workflows to gender dynamics. I'm Arturo and this is AITR Live.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Think of all the do-overs you'd take if given the chance: businesses, investments, relationships... It's not often in life we get second chances. Which is one of the reason AI is so exciting. It's nearly unbelievable to be riding a wave of change that starts with the technology, builds on the professional, swells in the social, and crashes into philosophy. We're live with Anne Murphy, 25 year veteran fundraiser and early AI adopter to ruminate on how AI is poised to shake up everything from corporate workflows to gender dynamics. I'm Arturo and this is AITR Live.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2742</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5c0c05de-f76b-4477-ae76-77c47074956f]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG8378835056.mp3?updated=1776126031" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>Weekly News Round-up (17MAR24)</title>
      <description>- Stability AI's new model turns 2D images into 3D videos

- NVIDIA unveils 'Blackwell' 

- NHS AI test spots tiny cancers missed by doctors

- xAI open sources base model of Grok

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Fri, 22 Mar 2024 17:11:19 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/33e553a6-34de-11f1-8875-1b0b8f2a4b05/image/56ec7faf6951608ed683b234cf64f675.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>- Stability AI's new model turns 2D images into 3D videos

- NVIDIA unveils 'Blackwell' 

- NHS AI test spots tiny cancers missed by doctors

- xAI open sources base model of Grok

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>- Stability AI's new model turns 2D images into 3D videos</p>
<p>- NVIDIA unveils 'Blackwell' </p>
<p>- NHS AI test spots tiny cancers missed by doctors</p>
<p>- xAI open sources base model of Grok</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>172</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[e3e06ff3-1ad0-42a4-81d5-38529a483bd4]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7902805558.mp3?updated=1776344225" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E19: Engagement at Scale- Using AI to Boost Your Copywriting</title>
      <description>As exciting as it is to delve into the theory and policies that drive AI innovation, sometimes we need to ask "but how do I implement it"? Today we're doing thing differently. We're on with Louis Shulman, co-foudner of inbox ghosts, to get into the details of how to scale AI-powered newsletter copywriting business. And as an added bonus, we have our editor in chief and resident digital nomad Liam Lawson doing the interview. I'm Arturo, and this is AITR Live.  Without me.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 21 Mar 2024 18:15:13 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>19</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/34494e06-34de-11f1-8875-b3bd9bee1c08/image/c0d32bdf48ee72f61b121f2472bb9f90.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>As exciting as it is to delve into the theory and policies that drive AI innovation, sometimes we need to ask "but how do I implement it"? Today we're doing thing differently. We're on with Louis Shulman, co-foudner of inbox ghosts, to get into the details of how to scale AI-powered newsletter copywriting business. And as an added bonus, we have our editor in chief and resident digital nomad Liam Lawson doing the interview. I'm Arturo, and this is AITR Live.  Without me.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>As exciting as it is to delve into the theory and policies that drive AI innovation, sometimes we need to ask "but how do I implement it"? Today we're doing thing differently. We're on with Louis Shulman, co-foudner of inbox ghosts, to get into the details of how to scale AI-powered newsletter copywriting business. And as an added bonus, we have our editor in chief and resident digital nomad Liam Lawson doing the interview. I'm Arturo, and this is AITR Live.  Without me.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2988</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4e460022-d2a1-4a8e-87fe-60065eabbbac]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1635979891.mp3?updated=1776126042" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E18: MIT Data Scientist on Bias, Ethics, and Data Diversity</title>
      <description>It seems impossible to say "diversity" these days without igniting a firestorm. It speaks to the challenge humans have separating who we are from what we were taught. Beyond it being simply the right thing to do, there's empirical data that proves companies committed to diversity and equality consistently show a more profitable bottom line.We sit down with Zev Eigen, MIT graduate and the co-founder and chief data scientist at Syndio who's made it his life's work to balance the hiring and pay scales at companies as he shares what makes his work fulfilling and his vision for how AI will shape the future of human employment.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Wed, 20 Mar 2024 14:10:13 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>18</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/34ab2c84-34de-11f1-8875-171f0ba54c12/image/c3f694392501ae1083a2f5401b531d05.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>It seems impossible to say "diversity" these days without igniting a firestorm. It speaks to the challenge humans have separating who we are from what we were taught. Beyond it being simply the right thing to do, there's empirical data that proves companies committed to diversity and equality consistently show a more profitable bottom line.We sit down with Zev Eigen, MIT graduate and the co-founder and chief data scientist at Syndio who's made it his life's work to balance the hiring and pay scales at companies as he shares what makes his work fulfilling and his vision for how AI will shape the future of human employment.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>It seems impossible to say "diversity" these days without igniting a firestorm. It speaks to the challenge humans have separating who we are from what we were taught. Beyond it being simply the right thing to do, there's empirical data that proves companies committed to diversity and equality consistently show a more profitable bottom line.We sit down with Zev Eigen, MIT graduate and the co-founder and chief data scientist at Syndio who's made it his life's work to balance the hiring and pay scales at companies as he shares what makes his work fulfilling and his vision for how AI will shape the future of human employment.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3413</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[a0a41414-572e-40ee-a3f3-8d7ef0a787e5]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1292482446.mp3?updated=1776344417" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E17: AI x Banking with a Risk Mitigation Specialist</title>
      <description>The banking industry doesn't garner much sympathy. Likely even less once you learn they spend most of their time reacting to new regulation rather than proactively evolving their processes. Christos Markidis hopes to fix that. Today he shares why AI is a significant leap forward for the banking industry, and what he hopes the future brings.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 12 Mar 2024 04:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>17</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/35129964-34de-11f1-8875-2384acecd794/image/d85272cc57c037fc303eaf189e6aab4d.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>The banking industry doesn't garner much sympathy. Likely even less once you learn they spend most of their time reacting to new regulation rather than proactively evolving their processes. Christos Markidis hopes to fix that. Today he shares why AI is a significant leap forward for the banking industry, and what he hopes the future brings.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The banking industry doesn't garner much sympathy. Likely even less once you learn they spend most of their time reacting to new regulation rather than proactively evolving their processes. Christos Markidis hopes to fix that. Today he shares why AI is a significant leap forward for the banking industry, and what he hopes the future brings.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>3307</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[1c9e20cd-84ee-4799-bfd5-fed473ebfdbe]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6715014763.mp3?updated=1776126007" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E16: Internal AITR Podcast with Editor in Chief Liam Lawson</title>
      <description>With thousands of tools out there, how to do you know where to start your journey? Our very own Liam Lawson talks about boosting his productivity, upscaling the AI Tool Report, and which tools everyone should start using to maximize their workflow.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 07 Mar 2024 05:50:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>16</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3575199a-34de-11f1-8875-73e26cfcb163/image/4536d7fe8fbe5e488da04650e0aa255f.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>With thousands of tools out there, how to do you know where to start your journey? Our very own Liam Lawson talks about boosting his productivity, upscaling the AI Tool Report, and which tools everyone should start using to maximize their workflow.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>With thousands of tools out there, how to do you know where to start your journey? Our very own Liam Lawson talks about boosting his productivity, upscaling the AI Tool Report, and which tools everyone should start using to maximize their workflow.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2101</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[dff85b94-3bbe-4c9f-b833-04eb0211bf3d]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2771382892.mp3?updated=1776125849" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E15: Accepted: Meeting with Xembly</title>
      <description>Our history makes one thing clear: Humans tend to like to be around other humans socially. It gets complicated when that bleeds into our professional worlds. While planning is important, it often feels like meetings have taken the place of actual works during our day. Enter Xembly, the company founded by NLP veterans committed to streamlining our professional interactions and clarifying the action items that come out of them. Co-Founder and CTO Jason Flaks talks origins, goals, and the importance of being prepared when opportunity strikes.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 05 Mar 2024 05:15:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>15</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/35d41922-34de-11f1-8875-1789b8dea9db/image/7c424b7a7fbd2047cee43b841cb7cc70.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Our history makes one thing clear: Humans tend to like to be around other humans socially. It gets complicated when that bleeds into our professional worlds. While planning is important, it often feels like meetings have taken the place of actual works during our day. Enter Xembly, the company founded by NLP veterans committed to streamlining our professional interactions and clarifying the action items that come out of them. Co-Founder and CTO Jason Flaks talks origins, goals, and the importance of being prepared when opportunity strikes.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Our history makes one thing clear: Humans tend to like to be around other humans socially. It gets complicated when that bleeds into our professional worlds. While planning is important, it often feels like meetings have taken the place of actual works during our day. Enter Xembly, the company founded by NLP veterans committed to streamlining our professional interactions and clarifying the action items that come out of them. Co-Founder and CTO Jason Flaks talks origins, goals, and the importance of being prepared when opportunity strikes.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2381</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[7073a1bb-72d2-454d-903b-349c3d99ea00]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5142768771.mp3?updated=1776125836" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E14: The Looming Threat of Deepfakes - An IT Expert's Perspective</title>
      <description>Leo Rodman has been in the game since the days of dial-up. He shares his unique and invaluable perspective as someone who's seen technology hit it's exponential curve. Join us as we discuss deepfakes, ethics, and everything in between.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 20 Feb 2024 05:03:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>14</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/363ca6c2-34de-11f1-8875-e7ddde06057b/image/61b13a10d2d861d4cc41e8c880b89790.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Leo Rodman has been in the game since the days of dial-up. He shares his unique and invaluable perspective as someone who's seen technology hit it's exponential curve. Join us as we discuss deepfakes, ethics, and everything in between.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Leo Rodman has been in the game since the days of dial-up. He shares his unique and invaluable perspective as someone who's seen technology hit it's exponential curve. Join us as we discuss deepfakes, ethics, and everything in between.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2507</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4a193f9c-14b3-4f79-8f2d-0450f840ee94]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG5328387055.mp3?updated=1776125763" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E13: AI Investing for Dummies (with author Paul Mladjenovic)</title>
      <description>AI may be new, but entrepreneurship certainly isn't. Human have a long tradition of finding the angles and leveraging the hustle to make their money make more money. Paul Mladjenovic, author of several of the famous "For Dummies" books, shares his insight into why AI may be unique, but its underlying principles of investment remain the same.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 13 Feb 2024 05:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>13</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3715b156-34de-11f1-8875-97e557d74ce8/image/792518bdd89b41a4a9805a4031962edf.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>AI may be new, but entrepreneurship certainly isn't. Human have a long tradition of finding the angles and leveraging the hustle to make their money make more money. Paul Mladjenovic, author of several of the famous "For Dummies" books, shares his insight into why AI may be unique, but its underlying principles of investment remain the same.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI may be new, but entrepreneurship certainly isn't. Human have a long tradition of finding the angles and leveraging the hustle to make their money make more money. Paul Mladjenovic, author of several of the famous "For Dummies" books, shares his insight into why AI may be unique, but its underlying principles of investment remain the same.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2202</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[f45a0a8e-7ab4-412b-9ea9-22b2c3e12b29]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG4595111761.mp3?updated=1776125749" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E12: Graft CEO—AI Infrastructure for the 99%</title>
      <description>All technology is deflationary. By building on previous generations, we find Moore's Law to be true for more than just computers. But most tools are only as good as the platforms upon which they are implemented. Adam Oliner, founder and CEO of Graft, shares his journey from tech to start-up and his vision of human/AI coexsistence.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 13 Feb 2024 05:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>12</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/369a952a-34de-11f1-8875-cf2b8b2ab831/image/d6e553907a81c586b33e10ce867dac2f.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>All technology is deflationary. By building on previous generations, we find Moore's Law to be true for more than just computers. But most tools are only as good as the platforms upon which they are implemented. Adam Oliner, founder and CEO of Graft, shares his journey from tech to start-up and his vision of human/AI coexsistence.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>All technology is deflationary. By building on previous generations, we find Moore's Law to be true for more than just computers. But most tools are only as good as the platforms upon which they are implemented. Adam Oliner, founder and CEO of Graft, shares his journey from tech to start-up and his vision of human/AI coexsistence.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2398</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[2fcaa595-88aa-46a7-81f8-196eefa335d0]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2486107051.mp3?updated=1776125688" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E11: 25-year HR veteran on Maintaining Human Relevance in the Workplace</title>
      <description>With all the talk about job cuts and AI takeover, it's wise to take a moment and reflect on the unique attributes that humans bring to their work. AI is fast and efficient, but at the end of the day is still a tool. Theresa walks us through her perspective, forged from over two decades working with humans, on why the smartest companies are figuring out how to augment, rather than replace, their human teams. (Note- We cursed three times total in this episode. An AITR Live first.)

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 06 Feb 2024 05:21:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>11</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3787333a-34de-11f1-8875-1f0d4d28d67e/image/a7ad96fe3a95e32899725b9c39de56e8.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>With all the talk about job cuts and AI takeover, it's wise to take a moment and reflect on the unique attributes that humans bring to their work. AI is fast and efficient, but at the end of the day is still a tool. Theresa walks us through her perspective, forged from over two decades working with humans, on why the smartest companies are figuring out how to augment, rather than replace, their human teams. (Note- We cursed three times total in this episode. An AITR Live first.)

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>With all the talk about job cuts and AI takeover, it's wise to take a moment and reflect on the unique attributes that humans bring to their work. AI is fast and efficient, but at the end of the day is still a tool. Theresa walks us through her perspective, forged from over two decades working with humans, on why the smartest companies are figuring out how to augment, rather than replace, their human teams. (Note- We cursed three times total in this episode. An AITR Live first.)</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2644</itunes:duration>
      <itunes:explicit>yes</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[83c70890-6038-4012-ae70-c66c16543ec1]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6088838796.mp3?updated=1776125663" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E10: The Danger of Ageism in AI</title>
      <description>AI is moving fast, and threatens to leave behind a huge number of people unable to keep up. Today we discuss the responsibilities that fall to those of us at the forefront of development on how to move forward intelligently, so we can all make the most of AI.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 01 Feb 2024 06:28:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>10</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/37f6b2c8-34de-11f1-8875-f3e68a597fa3/image/ab64c2c2443e188c426111baad71e3b4.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>AI is moving fast, and threatens to leave behind a huge number of people unable to keep up. Today we discuss the responsibilities that fall to those of us at the forefront of development on how to move forward intelligently, so we can all make the most of AI.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI is moving fast, and threatens to leave behind a huge number of people unable to keep up. Today we discuss the responsibilities that fall to those of us at the forefront of development on how to move forward intelligently, so we can all make the most of AI.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1884</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[183933e3-3373-4130-9ccf-63c104cba694]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1958329581.mp3?updated=1776125596" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E9: Transform Your Content Development - Deep Dive into Guidde</title>
      <description>Video content production has traditionally been a resource-intensive process for most businesses. Whether client-facing or internal only, video plays a key role in clearly getting a message across. Two years ago, Yoav Einav founded Guidde to disrupt the videography world. He succeeded, and in no small part due to the disruption brought on by generative AI.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Mon, 29 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>9</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/386b05c4-34de-11f1-8875-8b0f2e1c14d3/image/b34828f9cf5993901be4c119b43485b4.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Video content production has traditionally been a resource-intensive process for most businesses. Whether client-facing or internal only, video plays a key role in clearly getting a message across. Two years ago, Yoav Einav founded Guidde to disrupt the videography world. He succeeded, and in no small part due to the disruption brought on by generative AI.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Video content production has traditionally been a resource-intensive process for most businesses. Whether client-facing or internal only, video plays a key role in clearly getting a message across. Two years ago, Yoav Einav founded Guidde to disrupt the videography world. He succeeded, and in no small part due to the disruption brought on by generative AI.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1764</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[5edb5dcd-a058-408a-8b26-c99f929276bc]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2939938909.mp3?updated=1776344432" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E8: CKIO of Fisher Phillips Law - AI Disrupts the Legal System</title>
      <description>Continuing our conversation from earlier this week, we're back on with Evan Shenkman of Fisher Phillips who shares his perspective on the intersection of AI and law, and how his firm's clients are battening down the hatches to stay current and ahead of the wave.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 25 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>8</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/38dad624-34de-11f1-8875-e370de912a9c/image/0dd9cde0407538a880d19c546bd84aba.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>Continuing our conversation from earlier this week, we're back on with Evan Shenkman of Fisher Phillips who shares his perspective on the intersection of AI and law, and how his firm's clients are battening down the hatches to stay current and ahead of the wave.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>Continuing our conversation from earlier this week, we're back on with Evan Shenkman of Fisher Phillips who shares his perspective on the intersection of AI and law, and how his firm's clients are battening down the hatches to stay current and ahead of the wave.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1984</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d6c8d708-8885-492c-8a2f-49afc50a4270]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG2531183206.mp3?updated=1776125542" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>2024 AI Predictions- On with Fisher Phillips</title>
      <description>We were invited to be part of a panel discussion with international law firm Fisher Phillips, who's at the forefront of the AI revolution in the legal industry and beyond. Perhaps more than any other profession, lawyers stand to face the lion's share of this technological revolution as they prepare both their own shops as well as those of their clients for as many contingencies as possible.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 23 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>7</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39483cd2-34de-11f1-8875-5f2f14cff28a/image/931993383b898bd641e5c621b8481356.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We were invited to be part of a panel discussion with international law firm Fisher Phillips, who's at the forefront of the AI revolution in the legal industry and beyond. Perhaps more than any other profession, lawyers stand to face the lion's share of this technological revolution as they prepare both their own shops as well as those of their clients for as many contingencies as possible.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We were invited to be part of a panel discussion with international law firm Fisher Phillips, who's at the forefront of the AI revolution in the legal industry and beyond. Perhaps more than any other profession, lawyers stand to face the lion's share of this technological revolution as they prepare both their own shops as well as those of their clients for as many contingencies as possible.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1845</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b1771f7b-0347-481d-aad2-77e89ff83b78]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6969510022.mp3?updated=1776125460" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E5: AI Architect - Giving New Life to Old Ideas</title>
      <description>From a meal alone to a long shower: inspiration can strike at any time. But as innovators, we simply can't spend the time and money chasing after every seemingly good idea. The rise of generative AI is changing that. Access to coding bots and a near-infinite knowledge base is making old ideas cheaper and more realistic than ever. Casey Fox, co-founder and lead architect at Tekletics, shares some stories and insights from his experience doing exactly that for his clients.



If you're looking for a highly-scalable, US-based developer, look no further than Tekletics. Click here to schedule an initial conversation.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Thu, 18 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>5</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/39b3ff62-34de-11f1-8875-2bc82f271896/image/5e42621ca4568af3c2818c1b58733408.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>From a meal alone to a long shower: inspiration can strike at any time. But as innovators, we simply can't spend the time and money chasing after every seemingly good idea. The rise of generative AI is changing that. Access to coding bots and a near-infinite knowledge base is making old ideas cheaper and more realistic than ever. Casey Fox, co-founder and lead architect at Tekletics, shares some stories and insights from his experience doing exactly that for his clients.



If you're looking for a highly-scalable, US-based developer, look no further than Tekletics. Click here to schedule an initial conversation.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>From a meal alone to a long shower: inspiration can strike at any time. But as innovators, we simply can't spend the time and money chasing after every seemingly good idea. The rise of generative AI is changing that. Access to coding bots and a near-infinite knowledge base is making old ideas cheaper and more realistic than ever. Casey Fox, co-founder and lead architect at Tekletics, shares some stories and insights from his experience doing exactly that for his clients.</p>
<p><br></p>
<p>If you're looking for a highly-scalable, US-based developer, look no further than Tekletics. <a href="tekletics.com/contact">Click here to schedule an initial conversation.</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2328</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[b2e06766-6e9e-4262-a23d-d6906a4efb90]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG9208870385.mp3?updated=1776125447" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E6: Greek Parliament Advisor and the EU AI Act</title>
      <description>The AI revolution is exciting, but threatens a very real cost in human capital. Without appropriate regulation and foresight, our sprint towards the future could leave a huge percentage of our population in the past. We sit down with Giannis Rousopolous, Senior Advisor at the Hellenic Parliament, on the need for intelligent AI discourse and policy, and a detailed look at the recent EU AI Act.



You can connect with Giannis direclt on LinkedIn by clicking here.



Click here to get your free copt of The Network State.



Additional recommended reading:

-The Techno-optimist Manifesto

-EU AI Act Q&amp;A

-E/Acc Movement

-Book: The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Mustafa Suleyman

-What Can DAOs Learn From Partisan Politics?

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 16 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>6</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3a28a696-34de-11f1-8875-5716a7eda894/image/340da6acbac6a3735131c96d7ae41b12.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>The AI revolution is exciting, but threatens a very real cost in human capital. Without appropriate regulation and foresight, our sprint towards the future could leave a huge percentage of our population in the past. We sit down with Giannis Rousopolous, Senior Advisor at the Hellenic Parliament, on the need for intelligent AI discourse and policy, and a detailed look at the recent EU AI Act.



You can connect with Giannis direclt on LinkedIn by clicking here.



Click here to get your free copt of The Network State.



Additional recommended reading:

-The Techno-optimist Manifesto

-EU AI Act Q&amp;A

-E/Acc Movement

-Book: The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Mustafa Suleyman

-What Can DAOs Learn From Partisan Politics?

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>The AI revolution is exciting, but threatens a very real cost in human capital. Without appropriate regulation and foresight, our sprint towards the future could leave a huge percentage of our population in the past. We sit down with Giannis Rousopolous, Senior Advisor at the Hellenic Parliament, on the need for intelligent AI discourse and policy, and a detailed look at the recent EU AI Act.</p>
<p><br></p>
<p>You can connect with Giannis direclt on LinkedIn by <a href="https://www.linkedin.com/in/giannis-rousopoulos-8b0808209/">clicking here</a>.</p>
<p><br></p>
<p><a href="https://book.thenetworkstate.com/tns.pdf">Click here to get your free copt of <em>The Network State.</em></a></p>
<p><br></p>
<p>Additional recommended reading:</p>
<p><a href="https://a16z.com/the-techno-optimist-manifesto/">-The Techno-optimist Manifesto</a><strong></strong></p>
<p><strong>-</strong><a href="https://ec.europa.eu/commission/presscorner/detail/en/QANDA_21_1683">EU AI Act Q&amp;A</a></p>
<p><strong>-</strong><a href="https://archive.is/rNJ0l#selection-301.0-301.72">E/Acc Movement</a><strong></strong></p>
<p><strong>-</strong><a href="https://www.amazon.com/Coming-Wave-Technology-Twenty-first-Centurys/dp/0593593952">Book: The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Mustafa Suleyman</a></p>
<p><strong>-</strong><a href="https://www.coindesk.com/consensus-magazine/2023/09/04/what-can-daos-learn-from-partisan-politics/">What Can DAOs Learn From Partisan Politics?</a></p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2345</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[454bc29b-e455-4180-b5e7-4ed056b5aeab]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG7080636839.mp3?updated=1776125376" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E4: USAF Cyber-veterans and the New Digital War</title>
      <description>AI may be new to most, but it's been a major player on both sides of the cybersecurity war. We sit down with Jason Read and Zach Bartsch to discuss what's new, what's changed, and what's important in the world of digital safety.



If you or your organization thinks they could benefit from updated cybersecurity policies or procedures, click here to schedule a 10 minute discovery call with the RTB team.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 09 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>4</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3b09ba14-34de-11f1-8875-3393e9f321df/image/c66dba47419b2bb1c9e5816b5781a3e5.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>AI may be new to most, but it's been a major player on both sides of the cybersecurity war. We sit down with Jason Read and Zach Bartsch to discuss what's new, what's changed, and what's important in the world of digital safety.



If you or your organization thinks they could benefit from updated cybersecurity policies or procedures, click here to schedule a 10 minute discovery call with the RTB team.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>AI may be new to most, but it's been a major player on both sides of the cybersecurity war. We sit down with Jason Read and Zach Bartsch to discuss what's new, what's changed, and what's important in the world of digital safety.</p>
<p><br></p>
<p>If you or your organization thinks they could benefit from updated cybersecurity policies or procedures, <a href="%20https://rtbtechnologies.com/discoverycall/%20">click here to schedule a 10 minute discovery call</a> with the RTB team.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2407</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[4a3e742e-5071-410e-a49a-6905921f1155]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG3717216564.mp3?updated=1776125344" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E3: Professional Executive Coach on AI &amp; Empathy</title>
      <description>We're on with best-selling author, veteran educator, and business coach Dr. Eric Goodman discussing the importance of empathy in our daily interactions, and initiatives aimed at teaching AI how to emulate it.



Click here to connect with Dr. Eric Goodman and subscribe to his twice-weekly newsletter, Confidence in Leadership. 



You can also check out the personality test he mentions at https://crackmycode.com/communicate⁠ and check out his best-selling book at Teacher to Leader.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 09 Jan 2024 05:17:00 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>3</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3a9730e8-34de-11f1-8875-ffff05d7dc20/image/6db124b5a5704007b40b133a97a005d4.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We're on with best-selling author, veteran educator, and business coach Dr. Eric Goodman discussing the importance of empathy in our daily interactions, and initiatives aimed at teaching AI how to emulate it.



Click here to connect with Dr. Eric Goodman and subscribe to his twice-weekly newsletter, Confidence in Leadership. 



You can also check out the personality test he mentions at https://crackmycode.com/communicate⁠ and check out his best-selling book at Teacher to Leader.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We're on with best-selling author, veteran educator, and business coach Dr. Eric Goodman discussing the importance of empathy in our daily interactions, and initiatives aimed at teaching AI how to emulate it.</p>
<p><br></p>
<p><a href="https://www.linkedin.com/in/ericgoodman2/">Click here to connect with Dr. Eric Goodman</a> and subscribe to his twice-weekly newsletter, Confidence in Leadership. </p>
<p><br></p>
<p>You can also check out the personality test he mentions at <a href="https://crackmycode.com/communicate">https://crackmycode.com/communicate⁠</a> and check out his best-selling book at <a href="https://teachertoleader.com/">Teacher to Leader</a>.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>2398</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[21b85c40-b3b4-48fe-b240-c9fd343b42fa]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG1615458979.mp3?updated=1776125310" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E1: EEOC Commissioner Keith Sonderling - Employment in the AI Age</title>
      <description>We speak with EEOC Commissioner Keith Sonderling on the AI revolution that threatens to upend decades of work to equalize and diversify the workplace. He gives us his thoughts on the future and how the average person can work with their policymakers to engage with AI effectively and responsibly.

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Mon, 08 Jan 2024 17:46:37 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>1</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3b7411f2-34de-11f1-8875-0719c49bfa6e/image/70a5dafd0cb0b38a3ec202aa2cb3e975.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We speak with EEOC Commissioner Keith Sonderling on the AI revolution that threatens to upend decades of work to equalize and diversify the workplace. He gives us his thoughts on the future and how the average person can work with their policymakers to engage with AI effectively and responsibly.

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We speak with EEOC Commissioner Keith Sonderling on the AI revolution that threatens to upend decades of work to equalize and diversify the workplace. He gives us his thoughts on the future and how the average person can work with their policymakers to engage with AI effectively and responsibly.</p>
<p> </p><p>Learn more about your ad choices. Visit <a href="https://megaphone.fm/adchoices">megaphone.fm/adchoices</a></p>]]>
      </content:encoded>
      <itunes:duration>1546</itunes:duration>
      <itunes:explicit>no</itunes:explicit>
      <guid isPermaLink="false"><![CDATA[d39fbf4a-b257-4850-a582-bd699c7f9822]]></guid>
      <enclosure url="https://traffic.megaphone.fm/TPG6595892955.mp3?updated=1776344401" length="0" type="audio/mpeg"/>
    </item>
    <item>
      <title>S1E2: Canva's CTO on AI for K-12 Education</title>
      <description>We're live with Jason Wilmot at Canva who's giving us a preview of their latest AI tools. Canva is working to develop tools educators can use to support their mission, and one that can grow alongside students from kindergarten, through middle and high school, and into their professional lives.



To learn more and sign up, go to: https://www.canva.com/education/

Learn more about your ad choices. Visit megaphone.fm/adchoices</description>
      <pubDate>Tue, 02 Jan 2024 17:02:08 -0000</pubDate>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:season>1</itunes:season>
      <itunes:episode>2</itunes:episode>
      <itunes:author>Liam Lawson</itunes:author>
      <itunes:image href="https://megaphone.imgix.net/podcasts/3bdb4174-34de-11f1-8875-bb1484901ee8/image/6c2dd92905ce781997de2fa2bf14d2d5.jpg?ixlib=rails-4.3.1&amp;max-w=3000&amp;max-h=3000&amp;fit=crop&amp;auto=format,compress"/>
      <itunes:subtitle/>
      <itunes:summary>We're live with Jason Wilmot at Canva who's giving us a preview of their latest AI tools. Canva is working to develop tools educators can use to support their mission, and one that can grow alongside students from kindergarten, through middle and high school, and into their professional lives.



To learn more and sign up, go to: https://www.canva.com/education/

Learn more about your ad choices. Visit megaphone.fm/adchoices</itunes:summary>
      <content:encoded>
        <![CDATA[<p>We're live with Jason Wilmot at Canva who's giving us a preview of their latest AI tools. Canva is working to develop tools educators can use to support their mission, and one that can grow alongside students from kindergarten, through middle and high school, and into their professional lives.</p>
<p><br></p>
<p>To learn more and sign up, go to: <a href="https://www.canva.com/education/">https://www.canva.com/education/</a></p>
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