SHRM Talent 2026 https://wrkdefined.com/podcast/shrm-talent-2026 en All rights reserved by WRKdefined Welcome to the official limited podcast series from SHRM Talent 2026, recorded live at the Gaylord Texan Resort & Convention Center in Grapevine, Texas. In collaboration with SHRM, WRKdefined created this 33-episode series, which captures real conversations shaping the future of hiring, recruiting, talent acquisition, HR technology, leadership, workforce planning, candidate experience, AI at work, and the evolving world of work.  Across the series, WRKdefined sat down with HR practitioners, talent leaders, consultants, analysts, creators, founders, and technology providers to explore what’s actually happening inside modern HR and recruiting teams. No corporate theater. No overproduced sound bites. Just smart people sharing practical ideas, lessons learned, industry trends, and honest perspectives from one of the largest HR and talent events in the world.  SHRM Talent brings together thousands of HR and talent acquisition professionals focused on recruiting strategy, employee experience, workforce transformation, leadership development, hiring technology, and the future of work. This limited series extends those conversations beyond the conference walls and into the hands of HR professionals everywhere.  Whether you work in HR, recruiting, talent acquisition, people operations, HR tech, staffing, leadership, learning and development, or workforce strategy, these conversations were built for you. 33 episodes. One conference. Real conversations that matter. Recorded and produced by WRKdefined in collaboration with SHRM. https://megaphone.imgix.net/podcasts/508802b4-579e-11f1-9f61-1738c4acfc17/image/83addd4b05f40907343e329cae45369b.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress SHRM Talent 2026 https://wrkdefined.com/podcast/shrm-talent-2026 episodic Powered by the WRKdefined Podcast Network WRKdefined Podcast Network Welcome to the official limited podcast series from SHRM Talent 2026, recorded live at the Gaylord Texan Resort & Convention Center in Grapevine, Texas. In collaboration with SHRM, WRKdefined created this 33-episode series, which captures real conversations shaping the future of hiring, recruiting, talent acquisition, HR technology, leadership, workforce planning, candidate experience, AI at work, and the evolving world of work.  Across the series, WRKdefined sat down with HR practitioners, talent leaders, consultants, analysts, creators, founders, and technology providers to explore what’s actually happening inside modern HR and recruiting teams. No corporate theater. No overproduced sound bites. Just smart people sharing practical ideas, lessons learned, industry trends, and honest perspectives from one of the largest HR and talent events in the world.  SHRM Talent brings together thousands of HR and talent acquisition professionals focused on recruiting strategy, employee experience, workforce transformation, leadership development, hiring technology, and the future of work. This limited series extends those conversations beyond the conference walls and into the hands of HR professionals everywhere.  Whether you work in HR, recruiting, talent acquisition, people operations, HR tech, staffing, leadership, learning and development, or workforce strategy, these conversations were built for you. 33 episodes. One conference. Real conversations that matter. Recorded and produced by WRKdefined in collaboration with SHRM. Welcome to the official limited podcast series from SHRM Talent 2026, recorded live at the Gaylord Texan Resort & Convention Center in Grapevine, Texas. In collaboration with SHRM, WRKdefined created this 33-episode series, which captures real conversations shaping the future of hiring, recruiting, talent acquisition, HR technology, leadership, workforce planning, candidate experience, AI at work, and the evolving world of work. 


Across the series, WRKdefined sat down with HR practitioners, talent leaders, consultants, analysts, creators, founders, and technology providers to explore what’s actually happening inside modern HR and recruiting teams. No corporate theater. No overproduced sound bites. Just smart people sharing practical ideas, lessons learned, industry trends, and honest perspectives from one of the largest HR and talent events in the world. 


SHRM Talent brings together thousands of HR and talent acquisition professionals focused on recruiting strategy, employee experience, workforce transformation, leadership development, hiring technology, and the future of work. This limited series extends those conversations beyond the conference walls and into the hands of HR professionals everywhere. 


Whether you work in HR, recruiting, talent acquisition, people operations, HR tech, staffing, leadership, learning and development, or workforce strategy, these conversations were built for you. 33 episodes. One conference. Real conversations that matter. Recorded and produced by WRKdefined in collaboration with SHRM.

]]> WRKdefined WRKdefined@gmail.com Time-to-Fill Is Broken. Nobody Knows What Great Recruiting Looks Like Most recruiting teams are hitting their metrics and still getting told they’re failing. Tim Sackett argues that’s because the metric everyone tracks most obsessively might be the one that matters least. Faster hiring doesn’t automatically mean better hiring. The future of recruiting isn’t speed. It’s trust, responsiveness, and human connection. Recruiting, candidate experience, AI adoption, workforce planning, talent acquisition, quality of hire. This conversation challenges some of the most accepted ideas in recruiting. In this episode… Tim explains why time-to-fill has become a misleading success metric, how candidate communication remains embarrassingly broken, and why AI should eliminate tactical work so recruiters can spend more time building relationships. Sharp discussion on workforce planning, recruiting metrics, candidate experience, and the future of talent acquisition. Key Takeaways :  • Tim says recruiting’s biggest challenge changes constantly between having too many applicants and not enough applicants depending on the economy • He argues recruiting challenges are driven more by economic cycles than technology trends like AI • Tim believes talent acquisition must move away from time-to-fill as its primary success metric • Faster hiring is not always better hiring. “Fast” simply means faster, not necessarily higher quality • Some enterprise TA teams hit every recruiting KPI and still have CEOs who believe recruiting is underperforming • Candidate response time matters more than overall time-to-fill because interest disappears quickly in today’s market • Many candidates still apply to 100+ jobs and hear back from only a handful of employers • Tim calls it “insane” that organizations still fail to send basic rejection or status-update communications despite modern technology • He believes candidate experiences should function more like Uber, FedEx, or Domino’s tracking, with real-time updates and transparency • Organizations should provide candidates with context, expectations, and visibility instead of leaving them in a hiring black hole • Candidates are willing to complete assessments and hiring steps if employers clearly explain why they matter and share results when appropriate • Tim highlights an example where rejected candidates could receive learning resources and reapply after developing missing skills • His favorite recruiting compliment: “I didn’t get the job, but I liked your process.” • Workforce planning remains reactive because many HR and TA leaders still struggle with technology and data capabilities • Tim believes AI adoption fails when organizations remove work without showing employees how they’ll create value elsewhere • Employees often resist AI because they fear optimization will eliminate their jobs rather than elevate their work • The biggest unanswered question in recruiting is still how organizations should truly measure success in talent acquisition • Tim believes future recruiters will spend far less time on administrative work and far more time building genuine relationships with talent • His vision for recruiting is simple: AI handles the tactical work while humans focus on trust, relationships, and hiring decisions Guest : Tim Sackett  President of HRU Technical Resources, bestselling author, speaker, and one of the most influential voices in talent acquisition, known for challenging recruiting orthodoxy and pushing the industry toward better hiring outcomes. LinkedIN : https://www.linkedin.com/in/timsackett/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Wed, 10 Jun 2026 12:13:00 -0000 full WRKdefined Podcast Network Most recruiting teams are hitting their metrics and still getting told they’re failing. Tim Sackett argues that’s because the metric everyone tracks most obsessively might be the one that matters least. Faster hiring doesn’t automatically mean better hiring. The future of recruiting isn’t speed. It’s trust, responsiveness, and human connection. Recruiting, candidate experience, AI adoption, workforce planning, talent acquisition, quality of hire. This conversation challenges some of the most accepted ideas in recruiting. In this episode… Tim explains why time-to-fill has become a misleading success metric, how candidate communication remains embarrassingly broken, and why AI should eliminate tactical work so recruiters can spend more time building relationships. Sharp discussion on workforce planning, recruiting metrics, candidate experience, and the future of talent acquisition. Key Takeaways :  • Tim says recruiting’s biggest challenge changes constantly between having too many applicants and not enough applicants depending on the economy • He argues recruiting challenges are driven more by economic cycles than technology trends like AI • Tim believes talent acquisition must move away from time-to-fill as its primary success metric • Faster hiring is not always better hiring. “Fast” simply means faster, not necessarily higher quality • Some enterprise TA teams hit every recruiting KPI and still have CEOs who believe recruiting is underperforming • Candidate response time matters more than overall time-to-fill because interest disappears quickly in today’s market • Many candidates still apply to 100+ jobs and hear back from only a handful of employers • Tim calls it “insane” that organizations still fail to send basic rejection or status-update communications despite modern technology • He believes candidate experiences should function more like Uber, FedEx, or Domino’s tracking, with real-time updates and transparency • Organizations should provide candidates with context, expectations, and visibility instead of leaving them in a hiring black hole • Candidates are willing to complete assessments and hiring steps if employers clearly explain why they matter and share results when appropriate • Tim highlights an example where rejected candidates could receive learning resources and reapply after developing missing skills • His favorite recruiting compliment: “I didn’t get the job, but I liked your process.” • Workforce planning remains reactive because many HR and TA leaders still struggle with technology and data capabilities • Tim believes AI adoption fails when organizations remove work without showing employees how they’ll create value elsewhere • Employees often resist AI because they fear optimization will eliminate their jobs rather than elevate their work • The biggest unanswered question in recruiting is still how organizations should truly measure success in talent acquisition • Tim believes future recruiters will spend far less time on administrative work and far more time building genuine relationships with talent • His vision for recruiting is simple: AI handles the tactical work while humans focus on trust, relationships, and hiring decisions Guest : Tim Sackett  President of HRU Technical Resources, bestselling author, speaker, and one of the most influential voices in talent acquisition, known for challenging recruiting orthodoxy and pushing the industry toward better hiring outcomes. LinkedIN : https://www.linkedin.com/in/timsackett/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most recruiting teams are hitting their metrics and still getting told they’re failing. Tim Sackett argues that’s because the metric everyone tracks most obsessively might be the one that matters least. Faster hiring doesn’t automatically mean better hiring.

The future of recruiting isn’t speed. It’s trust, responsiveness, and human connection. Recruiting, candidate experience, AI adoption, workforce planning, talent acquisition, quality of hire. This conversation challenges some of the most accepted ideas in recruiting.

In this episode… Tim explains why time-to-fill has become a misleading success metric, how candidate communication remains embarrassingly broken, and why AI should eliminate tactical work so recruiters can spend more time building relationships. Sharp discussion on workforce planning, recruiting metrics, candidate experience, and the future of talent acquisition.


Key Takeaways : 

• Tim says recruiting’s biggest challenge changes constantly between having too many applicants and not enough applicants depending on the economy

• He argues recruiting challenges are driven more by economic cycles than technology trends like AI

• Tim believes talent acquisition must move away from time-to-fill as its primary success metric

• Faster hiring is not always better hiring. “Fast” simply means faster, not necessarily higher quality

• Some enterprise TA teams hit every recruiting KPI and still have CEOs who believe recruiting is underperforming

• Candidate response time matters more than overall time-to-fill because interest disappears quickly in today’s market

• Many candidates still apply to 100+ jobs and hear back from only a handful of employers

• Tim calls it “insane” that organizations still fail to send basic rejection or status-update communications despite modern technology

• He believes candidate experiences should function more like Uber, FedEx, or Domino’s tracking, with real-time updates and transparency

• Organizations should provide candidates with context, expectations, and visibility instead of leaving them in a hiring black hole

• Candidates are willing to complete assessments and hiring steps if employers clearly explain why they matter and share results when appropriate

• Tim highlights an example where rejected candidates could receive learning resources and reapply after developing missing skills

• His favorite recruiting compliment: “I didn’t get the job, but I liked your process.”

• Workforce planning remains reactive because many HR and TA leaders still struggle with technology and data capabilities

• Tim believes AI adoption fails when organizations remove work without showing employees how they’ll create value elsewhere

• Employees often resist AI because they fear optimization will eliminate their jobs rather than elevate their work

• The biggest unanswered question in recruiting is still how organizations should truly measure success in talent acquisition

• Tim believes future recruiters will spend far less time on administrative work and far more time building genuine relationships with talent

• His vision for recruiting is simple: AI handles the tactical work while humans focus on trust, relationships, and hiring decisions

Guest : Tim Sackett 

President of HRU Technical Resources, bestselling author, speaker, and one of the most influential voices in talent acquisition, known for challenging recruiting orthodoxy and pushing the industry toward better hiring outcomes.

LinkedIN : https://www.linkedin.com/in/timsackett/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 1286 no How Employees Leave Says More About Your Culture Than How They’re Hired Most companies spend years perfecting recruiting and almost no time thinking about offboarding. Sarah Rodehorst argues that’s a massive mistake. The way employees leave a company can strengthen your employer brand or quietly destroy it from the inside out. Culture isn’t measured during the good times. It’s revealed during the hard ones. Talent management, employer brand, employee experience, retention, offboarding, AI adoption. This conversation explores the overlooked side of the employee lifecycle. In this episode…Sarah shares why talent management should include how employees leave, why employer brand has become one of recruiting’s toughest challenges, and why AI should always start with a business problem instead of a technology obsession. Sharp discussion on retention, culture, recruiting, employee experience, and HR technology. Key Takeaways :  • Sarah believes talent management includes the entire employee lifecycle, including how employees leave a company  • Many organizations invest heavily in hiring and development while ignoring offboarding and alumni relationships  • Employee exits directly impact employer brand, referrals, and future boomerang hires  • How employees are treated during difficult transitions often reveals the true culture of an organization  • Sarah argues culture is easy to demonstrate during good times but is truly tested during difficult moments  • One of the most important organizational success metrics is retaining the talent you genuinely want to keep  • Respectful departures help former employees carry a positive perception of the brand into future opportunities  • Employer brand has become significantly more important because candidates now have instant access to reviews, social media, and company reputation data  • A single viral post or negative employee experience can influence how candidates evaluate a company  • Candidates increasingly evaluate whether a company will invest in their growth and long-term development before accepting an offer  • Sarah describes herself as a “social introvert” who recharges through long walks in nature rather than constant social interaction  • She spends roughly an hour each day walking her dogs as part of her recharge routine  • Sarah’s grandmother is 108 years old and still lives independently, while her grandfather lived to 98  • AI adoption succeeds when organizations focus on solving business problems instead of implementing AI for its own sake  • Sarah believes companies should start with the problem, then determine whether AI is the right solution  • The ultimate goal of AI is outcomes, not checking a box that says the company is using AI  Guest : Sarah Rodehorst CEO and Co-Founder of Upwards HR, helping organizations improve employee experiences across the full talent lifecycle through HR technology, workforce strategy, compliance expertise, and people-first leadership. LinkedIN : https://www.linkedin.com/in/sarahrodehorst/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Wed, 10 Jun 2026 11:58:00 -0000 full WRKdefined Podcast Network Most companies spend years perfecting recruiting and almost no time thinking about offboarding. Sarah Rodehorst argues that’s a massive mistake. The way employees leave a company can strengthen your employer brand or quietly destroy it from the inside out. Culture isn’t measured during the good times. It’s revealed during the hard ones. Talent management, employer brand, employee experience, retention, offboarding, AI adoption. This conversation explores the overlooked side of the employee lifecycle. In this episode…Sarah shares why talent management should include how employees leave, why employer brand has become one of recruiting’s toughest challenges, and why AI should always start with a business problem instead of a technology obsession. Sharp discussion on retention, culture, recruiting, employee experience, and HR technology. Key Takeaways :  • Sarah believes talent management includes the entire employee lifecycle, including how employees leave a company  • Many organizations invest heavily in hiring and development while ignoring offboarding and alumni relationships  • Employee exits directly impact employer brand, referrals, and future boomerang hires  • How employees are treated during difficult transitions often reveals the true culture of an organization  • Sarah argues culture is easy to demonstrate during good times but is truly tested during difficult moments  • One of the most important organizational success metrics is retaining the talent you genuinely want to keep  • Respectful departures help former employees carry a positive perception of the brand into future opportunities  • Employer brand has become significantly more important because candidates now have instant access to reviews, social media, and company reputation data  • A single viral post or negative employee experience can influence how candidates evaluate a company  • Candidates increasingly evaluate whether a company will invest in their growth and long-term development before accepting an offer  • Sarah describes herself as a “social introvert” who recharges through long walks in nature rather than constant social interaction  • She spends roughly an hour each day walking her dogs as part of her recharge routine  • Sarah’s grandmother is 108 years old and still lives independently, while her grandfather lived to 98  • AI adoption succeeds when organizations focus on solving business problems instead of implementing AI for its own sake  • Sarah believes companies should start with the problem, then determine whether AI is the right solution  • The ultimate goal of AI is outcomes, not checking a box that says the company is using AI  Guest : Sarah Rodehorst CEO and Co-Founder of Upwards HR, helping organizations improve employee experiences across the full talent lifecycle through HR technology, workforce strategy, compliance expertise, and people-first leadership. LinkedIN : https://www.linkedin.com/in/sarahrodehorst/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most companies spend years perfecting recruiting and almost no time thinking about offboarding. Sarah Rodehorst argues that’s a massive mistake. The way employees leave a company can strengthen your employer brand or quietly destroy it from the inside out.

Culture isn’t measured during the good times. It’s revealed during the hard ones. Talent management, employer brand, employee experience, retention, offboarding, AI adoption. This conversation explores the overlooked side of the employee lifecycle.

In this episode…Sarah shares why talent management should include how employees leave, why employer brand has become one of recruiting’s toughest challenges, and why AI should always start with a business problem instead of a technology obsession. Sharp discussion on retention, culture, recruiting, employee experience, and HR technology.


Key Takeaways : 

• Sarah believes talent management includes the entire employee lifecycle, including how employees leave a company 

• Many organizations invest heavily in hiring and development while ignoring offboarding and alumni relationships 

• Employee exits directly impact employer brand, referrals, and future boomerang hires 

• How employees are treated during difficult transitions often reveals the true culture of an organization 

• Sarah argues culture is easy to demonstrate during good times but is truly tested during difficult moments 

• One of the most important organizational success metrics is retaining the talent you genuinely want to keep 

• Respectful departures help former employees carry a positive perception of the brand into future opportunities 

• Employer brand has become significantly more important because candidates now have instant access to reviews, social media, and company reputation data 

• A single viral post or negative employee experience can influence how candidates evaluate a company 

• Candidates increasingly evaluate whether a company will invest in their growth and long-term development before accepting an offer 

• Sarah describes herself as a “social introvert” who recharges through long walks in nature rather than constant social interaction 

• She spends roughly an hour each day walking her dogs as part of her recharge routine 

• Sarah’s grandmother is 108 years old and still lives independently, while her grandfather lived to 98 

• AI adoption succeeds when organizations focus on solving business problems instead of implementing AI for its own sake 

• Sarah believes companies should start with the problem, then determine whether AI is the right solution 

• The ultimate goal of AI is outcomes, not checking a box that says the company is using AI 


Guest : Sarah Rodehorst

CEO and Co-Founder of Upwards HR, helping organizations improve employee experiences across the full talent lifecycle through HR technology, workforce strategy, compliance expertise, and people-first leadership.

LinkedIN : https://www.linkedin.com/in/sarahrodehorst/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 591 no Recruiting Doesn’t End When Someone Gets Hired Most companies obsess over attracting talent and spend far less time thinking about what happens next. Chad Sorenson argues that real talent management starts before someone joins and continues long after they leave. The companies that understand that are building stronger brands, stronger cultures, and stronger talent pipelines. AI is changing recruiting fast, but people still want to work for organizations that treat them well. Talent management, recruiting, AI adoption, leadership development, employee experience, HR strategy. This conversation explores the human side of talent that technology can’t replace. In this episode… Chad Sorenson shares why talent management should cover the entire employee lifecycle, how AI is helping and hurting recruiting at the same time, and why employee experience matters even after someone leaves the company. Sharp discussion on hiring challenges, leadership development, work-life balance, and the future of HR. Key Takeaways : • Chad defines talent management as supporting employees from onboarding through their entire career journey • Great talent management includes helping employees grow even if their next opportunity is outside your company • Former employees can become future hires, referrals, customers, or brand advocates • How organizations treat employees during exit processes matters just as much as recruiting them • AI has dramatically increased the volume of applications recruiters must review • Easy-apply tools allow candidates to submit applications at scale, regardless of fit or interest • Recruiters increasingly struggle to determine whether candidates are qualified, interested, and available • Chad believes AI should be viewed as a tool, not a replacement for human judgment • Successful AI adoption starts with education and helping employees understand practical use cases • AI can accelerate recruiting workflows, but it cannot replace relationship-building and decision-making • Chad describes himself as “life-work balance” rather than “work-life balance” • He believes work should support life, not the other way around • Reading, travel, family time, and intentional downtime are core parts of how he avoids burnout • Leadership development requires both natural ability and learned experience • Some people may have leadership tendencies, but great leadership still requires coaching, training, and real-world practice • Even naturally gifted leaders need the right environment to develop and succeed Guest : Chad Sorenson  Founder of Adaptive HR Solutions, leadership consultant, HR strategist, and former President of HR Florida, helping organizations strengthen talent management, leadership development, and workforce effectiveness. LinkedIN : https://www.linkedin.com/in/chadvsorenson/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 05 Jun 2026 15:24:00 -0000 full WRKdefined Podcast Network Most companies obsess over attracting talent and spend far less time thinking about what happens next. Chad Sorenson argues that real talent management starts before someone joins and continues long after they leave. The companies that understand that are building stronger brands, stronger cultures, and stronger talent pipelines. AI is changing recruiting fast, but people still want to work for organizations that treat them well. Talent management, recruiting, AI adoption, leadership development, employee experience, HR strategy. This conversation explores the human side of talent that technology can’t replace. In this episode… Chad Sorenson shares why talent management should cover the entire employee lifecycle, how AI is helping and hurting recruiting at the same time, and why employee experience matters even after someone leaves the company. Sharp discussion on hiring challenges, leadership development, work-life balance, and the future of HR. Key Takeaways : • Chad defines talent management as supporting employees from onboarding through their entire career journey • Great talent management includes helping employees grow even if their next opportunity is outside your company • Former employees can become future hires, referrals, customers, or brand advocates • How organizations treat employees during exit processes matters just as much as recruiting them • AI has dramatically increased the volume of applications recruiters must review • Easy-apply tools allow candidates to submit applications at scale, regardless of fit or interest • Recruiters increasingly struggle to determine whether candidates are qualified, interested, and available • Chad believes AI should be viewed as a tool, not a replacement for human judgment • Successful AI adoption starts with education and helping employees understand practical use cases • AI can accelerate recruiting workflows, but it cannot replace relationship-building and decision-making • Chad describes himself as “life-work balance” rather than “work-life balance” • He believes work should support life, not the other way around • Reading, travel, family time, and intentional downtime are core parts of how he avoids burnout • Leadership development requires both natural ability and learned experience • Some people may have leadership tendencies, but great leadership still requires coaching, training, and real-world practice • Even naturally gifted leaders need the right environment to develop and succeed Guest : Chad Sorenson  Founder of Adaptive HR Solutions, leadership consultant, HR strategist, and former President of HR Florida, helping organizations strengthen talent management, leadership development, and workforce effectiveness. LinkedIN : https://www.linkedin.com/in/chadvsorenson/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most companies obsess over attracting talent and spend far less time thinking about what happens next. Chad Sorenson argues that real talent management starts before someone joins and continues long after they leave. The companies that understand that are building stronger brands, stronger cultures, and stronger talent pipelines.

AI is changing recruiting fast, but people still want to work for organizations that treat them well. Talent management, recruiting, AI adoption, leadership development, employee experience, HR strategy. This conversation explores the human side of talent that technology can’t replace.

In this episode… Chad Sorenson shares why talent management should cover the entire employee lifecycle, how AI is helping and hurting recruiting at the same time, and why employee experience matters even after someone leaves the company. Sharp discussion on hiring challenges, leadership development, work-life balance, and the future of HR.


Key Takeaways :

• Chad defines talent management as supporting employees from onboarding through their entire career journey

• Great talent management includes helping employees grow even if their next opportunity is outside your company

• Former employees can become future hires, referrals, customers, or brand advocates

• How organizations treat employees during exit processes matters just as much as recruiting them

• AI has dramatically increased the volume of applications recruiters must review

• Easy-apply tools allow candidates to submit applications at scale, regardless of fit or interest

• Recruiters increasingly struggle to determine whether candidates are qualified, interested, and available

• Chad believes AI should be viewed as a tool, not a replacement for human judgment

• Successful AI adoption starts with education and helping employees understand practical use cases

• AI can accelerate recruiting workflows, but it cannot replace relationship-building and decision-making

• Chad describes himself as “life-work balance” rather than “work-life balance”

• He believes work should support life, not the other way around

• Reading, travel, family time, and intentional downtime are core parts of how he avoids burnout

• Leadership development requires both natural ability and learned experience

• Some people may have leadership tendencies, but great leadership still requires coaching, training, and real-world practice

• Even naturally gifted leaders need the right environment to develop and succeed

Guest : Chad Sorenson 

Founder of Adaptive HR Solutions, leadership consultant, HR strategist, and former President of HR Florida, helping organizations strengthen talent management, leadership development, and workforce effectiveness.

LinkedIN : https://www.linkedin.com/in/chadvsorenson/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 583 no Your Leadership Playbook Expired 20 Years Ago Too many leaders are managing a 2026 workforce with lessons they learned in 2006. Krishna Powell argues that the biggest leadership challenge today isn’t attracting talent. It’s understanding, developing, and deploying the talent you already have before it walks out the door. The workforce changed. Most leadership habits didn’t. Leadership, multigenerational teams, talent management, AI adoption, workforce development, employee engagement. This conversation challenges leaders to rethink how they lead, hire, and grow people. In this episode… Krishna explains why companies have a talent deployment problem more than a talent acquisition problem, why AI adoption keeps falling short, and why leaders must stop treating every employee the same. Sharp discussion on workforce strategy, burnout, hybrid work, soft skills, and the future of leadership. Key Takeaways :  • Krishna says many leaders are still using management practices from 2006 to lead a 2026 workforce • The biggest workforce challenge is not generational differences. It’s leaders failing to adapt to them • Most organizations don’t have a talent acquisition problem. They have a talent deployment problem • Employees often leave because their full skill set is ignored or underutilized • Companies frequently trap employees inside job titles instead of recognizing broader capabilities • Talent management today should focus on skills, adaptability, and contribution, not just organizational charts • Only about 40% of AI initiatives are successfully implemented and adopted, according to Krishna • AI adoption fails when organizations introduce technology without connecting it to business outcomes • Krishna recommends evaluating AI through three lenses: performance, productivity, and profit • New technology feels like “more work” when employees don’t understand its purpose • Employees should understand the broader business, not just their individual role • Krishna believes professionals need visibility into market trends, industry changes, and company strategy • Great leaders hire experts and then allow experts to be experts • HR leaders and managers often create burnout by trying to do everything themselves • Many organizations learned the wrong lessons from the pandemic and quickly returned to unhealthy work habits • Hybrid work decisions should be based on business impact, not leadership preference • Spending two hours commuting may create less value than spending those same two hours working • The next generation of workers often lacks critical face-to-face communication experience because of how they learned growing up • Soft skills are no longer “nice to have.” They are becoming core business skills • Organizations that intentionally teach collaboration, communication, and relationship-building will have a competitive advantage Guest : Krishna Powell  CEO of Genuine Leadership Group, helping executives and HR leaders build stronger multigenerational workplaces through leadership development, workforce strategy, talent optimization, and organizational transformation. LinkedIN : https://www.linkedin.com/in/krishnapowell/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 05 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network Too many leaders are managing a 2026 workforce with lessons they learned in 2006. Krishna Powell argues that the biggest leadership challenge today isn’t attracting talent. It’s understanding, developing, and deploying the talent you already have before it walks out the door. The workforce changed. Most leadership habits didn’t. Leadership, multigenerational teams, talent management, AI adoption, workforce development, employee engagement. This conversation challenges leaders to rethink how they lead, hire, and grow people. In this episode… Krishna explains why companies have a talent deployment problem more than a talent acquisition problem, why AI adoption keeps falling short, and why leaders must stop treating every employee the same. Sharp discussion on workforce strategy, burnout, hybrid work, soft skills, and the future of leadership. Key Takeaways :  • Krishna says many leaders are still using management practices from 2006 to lead a 2026 workforce • The biggest workforce challenge is not generational differences. It’s leaders failing to adapt to them • Most organizations don’t have a talent acquisition problem. They have a talent deployment problem • Employees often leave because their full skill set is ignored or underutilized • Companies frequently trap employees inside job titles instead of recognizing broader capabilities • Talent management today should focus on skills, adaptability, and contribution, not just organizational charts • Only about 40% of AI initiatives are successfully implemented and adopted, according to Krishna • AI adoption fails when organizations introduce technology without connecting it to business outcomes • Krishna recommends evaluating AI through three lenses: performance, productivity, and profit • New technology feels like “more work” when employees don’t understand its purpose • Employees should understand the broader business, not just their individual role • Krishna believes professionals need visibility into market trends, industry changes, and company strategy • Great leaders hire experts and then allow experts to be experts • HR leaders and managers often create burnout by trying to do everything themselves • Many organizations learned the wrong lessons from the pandemic and quickly returned to unhealthy work habits • Hybrid work decisions should be based on business impact, not leadership preference • Spending two hours commuting may create less value than spending those same two hours working • The next generation of workers often lacks critical face-to-face communication experience because of how they learned growing up • Soft skills are no longer “nice to have.” They are becoming core business skills • Organizations that intentionally teach collaboration, communication, and relationship-building will have a competitive advantage Guest : Krishna Powell  CEO of Genuine Leadership Group, helping executives and HR leaders build stronger multigenerational workplaces through leadership development, workforce strategy, talent optimization, and organizational transformation. LinkedIN : https://www.linkedin.com/in/krishnapowell/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Too many leaders are managing a 2026 workforce with lessons they learned in 2006. Krishna Powell argues that the biggest leadership challenge today isn’t attracting talent. It’s understanding, developing, and deploying the talent you already have before it walks out the door.

The workforce changed. Most leadership habits didn’t. Leadership, multigenerational teams, talent management, AI adoption, workforce development, employee engagement. This conversation challenges leaders to rethink how they lead, hire, and grow people.

In this episode… Krishna explains why companies have a talent deployment problem more than a talent acquisition problem, why AI adoption keeps falling short, and why leaders must stop treating every employee the same. Sharp discussion on workforce strategy, burnout, hybrid work, soft skills, and the future of leadership.


Key Takeaways : 

• Krishna says many leaders are still using management practices from 2006 to lead a 2026 workforce

• The biggest workforce challenge is not generational differences. It’s leaders failing to adapt to them

• Most organizations don’t have a talent acquisition problem. They have a talent deployment problem

• Employees often leave because their full skill set is ignored or underutilized

• Companies frequently trap employees inside job titles instead of recognizing broader capabilities

• Talent management today should focus on skills, adaptability, and contribution, not just organizational charts

• Only about 40% of AI initiatives are successfully implemented and adopted, according to Krishna

• AI adoption fails when organizations introduce technology without connecting it to business outcomes

• Krishna recommends evaluating AI through three lenses: performance, productivity, and profit

• New technology feels like “more work” when employees don’t understand its purpose

• Employees should understand the broader business, not just their individual role

• Krishna believes professionals need visibility into market trends, industry changes, and company strategy

• Great leaders hire experts and then allow experts to be experts

• HR leaders and managers often create burnout by trying to do everything themselves

• Many organizations learned the wrong lessons from the pandemic and quickly returned to unhealthy work habits

• Hybrid work decisions should be based on business impact, not leadership preference

• Spending two hours commuting may create less value than spending those same two hours working

• The next generation of workers often lacks critical face-to-face communication experience because of how they learned growing up

• Soft skills are no longer “nice to have.” They are becoming core business skills

• Organizations that intentionally teach collaboration, communication, and relationship-building will have a competitive advantage


Guest : Krishna Powell 

CEO of Genuine Leadership Group, helping executives and HR leaders build stronger multigenerational workplaces through leadership development, workforce strategy, talent optimization, and organizational transformation.

LinkedIN : https://www.linkedin.com/in/krishnapowell/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 876 no Your One-on-Ones Are Failing Because You Keep Asking the Wrong Question “How’s it going?” might be the most expensive question managers ask. Joe Rotella argues that vague conversations create vague performance. Employees leave one-on-ones frustrated, managers leave without clarity, and nothing actually moves forward. The problem isn’t performance reviews. It’s everything that happens between them. Performance management, leadership, coaching, employee engagement, feedback, manager effectiveness. This conversation gets to the root of why so many workplace conversations feel useless. In this episode… Joe Rotella explains why most one-on-ones fail, how managers accidentally create cultures of micromanagement, and why coaching beats status updates every time. Sharp discussion on trust, feedback, leadership development, performance management, and helping employees win. Key Takeaways : • Joe says most one-on-ones fail because they start with vague questions like “How’s it going?” • Vague conversations create vague outcomes and rarely improve performance • Many employees dread one-on-ones because they associate them with micromanagement rather than support • Managers often use one-on-ones to track status instead of coaching employees • Fear, uncertainty, and doubt drive many ineffective management behaviors • Joe believes clarity is kindness and employees should always know what success looks like • High-performing teams define exactly what “winning” means before work begins • Feedback should happen weekly, not only when something goes wrong • Employees often associate feedback with criticism because positive feedback is given too infrequently • Joe teaches the SBIN framework: Situation, Behavior, Impact, and Next Steps • Great feedback focuses on future improvement instead of dwelling on past mistakes • Performance management happens between reviews, not during annual review meetings • Organizations often confuse reviewing performance with managing performance • Strong one-on-ones build trust, and trust remains one of the most important qualities employees want in leaders • Managers should prepare for one-on-ones with the same seriousness recruiters prepare for interviews • Many organizations promote top performers into management roles without teaching them how to coach people • Great managers stay curious instead of immediately solving every problem for employees • Culture change cannot be mandated through policy alone; it requires consistent leadership behavior • Joe believes a manager’s primary responsibility is helping employees succeed, not monitoring them Guest : Joe Rotella  Chief Value Officer at Delphia Consulting and creator of Miviva Performance Management Platform, helping organizations improve performance management through coaching, clarity, feedback, and AI-powered employee development. LinkedIN : https://www.linkedin.com/in/joerotella/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 05 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network “How’s it going?” might be the most expensive question managers ask. Joe Rotella argues that vague conversations create vague performance. Employees leave one-on-ones frustrated, managers leave without clarity, and nothing actually moves forward. The problem isn’t performance reviews. It’s everything that happens between them. Performance management, leadership, coaching, employee engagement, feedback, manager effectiveness. This conversation gets to the root of why so many workplace conversations feel useless. In this episode… Joe Rotella explains why most one-on-ones fail, how managers accidentally create cultures of micromanagement, and why coaching beats status updates every time. Sharp discussion on trust, feedback, leadership development, performance management, and helping employees win. Key Takeaways : • Joe says most one-on-ones fail because they start with vague questions like “How’s it going?” • Vague conversations create vague outcomes and rarely improve performance • Many employees dread one-on-ones because they associate them with micromanagement rather than support • Managers often use one-on-ones to track status instead of coaching employees • Fear, uncertainty, and doubt drive many ineffective management behaviors • Joe believes clarity is kindness and employees should always know what success looks like • High-performing teams define exactly what “winning” means before work begins • Feedback should happen weekly, not only when something goes wrong • Employees often associate feedback with criticism because positive feedback is given too infrequently • Joe teaches the SBIN framework: Situation, Behavior, Impact, and Next Steps • Great feedback focuses on future improvement instead of dwelling on past mistakes • Performance management happens between reviews, not during annual review meetings • Organizations often confuse reviewing performance with managing performance • Strong one-on-ones build trust, and trust remains one of the most important qualities employees want in leaders • Managers should prepare for one-on-ones with the same seriousness recruiters prepare for interviews • Many organizations promote top performers into management roles without teaching them how to coach people • Great managers stay curious instead of immediately solving every problem for employees • Culture change cannot be mandated through policy alone; it requires consistent leadership behavior • Joe believes a manager’s primary responsibility is helping employees succeed, not monitoring them Guest : Joe Rotella  Chief Value Officer at Delphia Consulting and creator of Miviva Performance Management Platform, helping organizations improve performance management through coaching, clarity, feedback, and AI-powered employee development. LinkedIN : https://www.linkedin.com/in/joerotella/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ “How’s it going?” might be the most expensive question managers ask. Joe Rotella argues that vague conversations create vague performance. Employees leave one-on-ones frustrated, managers leave without clarity, and nothing actually moves forward.

The problem isn’t performance reviews. It’s everything that happens between them. Performance management, leadership, coaching, employee engagement, feedback, manager effectiveness. This conversation gets to the root of why so many workplace conversations feel useless.

In this episode… Joe Rotella explains why most one-on-ones fail, how managers accidentally create cultures of micromanagement, and why coaching beats status updates every time. Sharp discussion on trust, feedback, leadership development, performance management, and helping employees win.

Key Takeaways :

• Joe says most one-on-ones fail because they start with vague questions like “How’s it going?”

• Vague conversations create vague outcomes and rarely improve performance

• Many employees dread one-on-ones because they associate them with micromanagement rather than support

• Managers often use one-on-ones to track status instead of coaching employees

• Fear, uncertainty, and doubt drive many ineffective management behaviors

• Joe believes clarity is kindness and employees should always know what success looks like

• High-performing teams define exactly what “winning” means before work begins

• Feedback should happen weekly, not only when something goes wrong

• Employees often associate feedback with criticism because positive feedback is given too infrequently

• Joe teaches the SBIN framework: Situation, Behavior, Impact, and Next Steps

• Great feedback focuses on future improvement instead of dwelling on past mistakes

• Performance management happens between reviews, not during annual review meetings

• Organizations often confuse reviewing performance with managing performance

• Strong one-on-ones build trust, and trust remains one of the most important qualities employees want in leaders

• Managers should prepare for one-on-ones with the same seriousness recruiters prepare for interviews

• Many organizations promote top performers into management roles without teaching them how to coach people

• Great managers stay curious instead of immediately solving every problem for employees

• Culture change cannot be mandated through policy alone; it requires consistent leadership behavior

• Joe believes a manager’s primary responsibility is helping employees succeed, not monitoring them

Guest : Joe Rotella 

Chief Value Officer at Delphia Consulting and creator of Miviva Performance Management Platform, helping organizations improve performance management through coaching, clarity, feedback, and AI-powered employee development.

LinkedIN : https://www.linkedin.com/in/joerotella/

Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 653 no The Best Candidates Aren’t Always the Most Qualified on Paper Resumes have never been perfect. AI just made the problem harder to ignore. Philip Nash argues that companies are spending too much time chasing credentials and not enough time evaluating character, coachability, and the human skills that actually drive long-term success. The future of hiring may be less about what people know today and more about what they can become tomorrow. Talent management, recruiting, AI adoption, soft skills, workforce development, leadership. This conversation gets to the human side of hiring. In this episode… Philip shares why soft skills matter more than ever, how AI is changing talent evaluation, and why organizations must keep developing employees if they want to keep them. Sharp discussion on leadership potential, recruiting challenges, workforce readiness, and balancing AI with human judgment. Key Takeaways :  • Philip believes leaders are born with natural tendencies but still require development, coaching, and experience to become effective • Talent remains the engine that drives every organization • Companies are only as strong as the talent they attract, develop, and retain • Employee development is no longer optional because workforce expectations and technology are evolving rapidly • Philip believes organizations that stop developing employees increase their risk of turnover • AI delivers the most value when used responsibly for data analysis, efficiency, and decision support • Overreliance on AI can create challenges when evaluating candidates and validating experience • Philip prefers focusing on “HI” (Human Intelligence) alongside AI rather than replacing people with technology • AI adoption succeeds when organizations provide proper training and support • Employees are more likely to embrace new technology when they want to learn it rather than feeling forced to use it • One of recruiting’s biggest challenges is identifying candidates with both technical expertise and long-term potential • Resumes and LinkedIn profiles do not always provide a complete picture of a candidate’s capabilities • Employers need better ways to validate real-world skills and qualifications • Soft skills remain one of the hardest attributes to assess and one of the most valuable • Philip believes technical skills can often be taught, while professionalism, communication, and respect are much harder to develop • The strongest employees combine technical competence with strong interpersonal skills • His personal philosophy is to get “1% better every day” • Fitness, discipline, and continuous self-improvement are key parts of how he recharges and stays focused • Philip credits sports with shaping the work ethic and discipline that continue to drive his professional success • Consistency and effort matter more than short bursts of motivation Guest : Philip Nash Business Development Manager at Easterseals Veteran Staffing Network, helping organizations connect with skilled talent while supporting workforce development, veteran employment, and inclusive hiring initiatives. LinkedIN : https://www.linkedin.com/in/pnashfla/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 05 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network Resumes have never been perfect. AI just made the problem harder to ignore. Philip Nash argues that companies are spending too much time chasing credentials and not enough time evaluating character, coachability, and the human skills that actually drive long-term success. The future of hiring may be less about what people know today and more about what they can become tomorrow. Talent management, recruiting, AI adoption, soft skills, workforce development, leadership. This conversation gets to the human side of hiring. In this episode… Philip shares why soft skills matter more than ever, how AI is changing talent evaluation, and why organizations must keep developing employees if they want to keep them. Sharp discussion on leadership potential, recruiting challenges, workforce readiness, and balancing AI with human judgment. Key Takeaways :  • Philip believes leaders are born with natural tendencies but still require development, coaching, and experience to become effective • Talent remains the engine that drives every organization • Companies are only as strong as the talent they attract, develop, and retain • Employee development is no longer optional because workforce expectations and technology are evolving rapidly • Philip believes organizations that stop developing employees increase their risk of turnover • AI delivers the most value when used responsibly for data analysis, efficiency, and decision support • Overreliance on AI can create challenges when evaluating candidates and validating experience • Philip prefers focusing on “HI” (Human Intelligence) alongside AI rather than replacing people with technology • AI adoption succeeds when organizations provide proper training and support • Employees are more likely to embrace new technology when they want to learn it rather than feeling forced to use it • One of recruiting’s biggest challenges is identifying candidates with both technical expertise and long-term potential • Resumes and LinkedIn profiles do not always provide a complete picture of a candidate’s capabilities • Employers need better ways to validate real-world skills and qualifications • Soft skills remain one of the hardest attributes to assess and one of the most valuable • Philip believes technical skills can often be taught, while professionalism, communication, and respect are much harder to develop • The strongest employees combine technical competence with strong interpersonal skills • His personal philosophy is to get “1% better every day” • Fitness, discipline, and continuous self-improvement are key parts of how he recharges and stays focused • Philip credits sports with shaping the work ethic and discipline that continue to drive his professional success • Consistency and effort matter more than short bursts of motivation Guest : Philip Nash Business Development Manager at Easterseals Veteran Staffing Network, helping organizations connect with skilled talent while supporting workforce development, veteran employment, and inclusive hiring initiatives. LinkedIN : https://www.linkedin.com/in/pnashfla/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Resumes have never been perfect. AI just made the problem harder to ignore. Philip Nash argues that companies are spending too much time chasing credentials and not enough time evaluating character, coachability, and the human skills that actually drive long-term success.

The future of hiring may be less about what people know today and more about what they can become tomorrow. Talent management, recruiting, AI adoption, soft skills, workforce development, leadership. This conversation gets to the human side of hiring.

In this episode… Philip shares why soft skills matter more than ever, how AI is changing talent evaluation, and why organizations must keep developing employees if they want to keep them. Sharp discussion on leadership potential, recruiting challenges, workforce readiness, and balancing AI with human judgment.

Key Takeaways : 

• Philip believes leaders are born with natural tendencies but still require development, coaching, and experience to become effective

• Talent remains the engine that drives every organization

• Companies are only as strong as the talent they attract, develop, and retain

• Employee development is no longer optional because workforce expectations and technology are evolving rapidly

• Philip believes organizations that stop developing employees increase their risk of turnover

• AI delivers the most value when used responsibly for data analysis, efficiency, and decision support

• Overreliance on AI can create challenges when evaluating candidates and validating experience

• Philip prefers focusing on “HI” (Human Intelligence) alongside AI rather than replacing people with technology

• AI adoption succeeds when organizations provide proper training and support

• Employees are more likely to embrace new technology when they want to learn it rather than feeling forced to use it

• One of recruiting’s biggest challenges is identifying candidates with both technical expertise and long-term potential

• Resumes and LinkedIn profiles do not always provide a complete picture of a candidate’s capabilities

• Employers need better ways to validate real-world skills and qualifications

• Soft skills remain one of the hardest attributes to assess and one of the most valuable

• Philip believes technical skills can often be taught, while professionalism, communication, and respect are much harder to develop

• The strongest employees combine technical competence with strong interpersonal skills

• His personal philosophy is to get “1% better every day”

• Fitness, discipline, and continuous self-improvement are key parts of how he recharges and stays focused

• Philip credits sports with shaping the work ethic and discipline that continue to drive his professional success

• Consistency and effort matter more than short bursts of motivation

Guest : Philip Nash

Business Development Manager at Easterseals Veteran Staffing Network, helping organizations connect with skilled talent while supporting workforce development, veteran employment, and inclusive hiring initiatives.

LinkedIN : https://www.linkedin.com/in/pnashfla/

Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 617 no Your Employees Are Telling You Why They Stay. Are You Listening? Most leaders spend more time asking why employees leave than why they stay. Njsane Courtney argues that’s backwards. The answers companies need are already sitting inside the organization. They just aren’t asking the right questions often enough. Retention isn’t a compensation problem as often as leaders think. Talent management, employee retention, AI adoption, leadership, recruiting, stay interviews. This conversation explores what happens when leaders start listening before employees start leaving. In this episode… Njsane shares why stay interviews outperform exit interviews, how leadership drives AI adoption, and why employers must continuously re-recruit their best people. Sharp discussion on retention, employee engagement, recruiting challenges, workplace culture, and leadership accountability. Key Takeaways :  • Njsane defines talent management as caring for existing employees while helping new hires become productive and connected to culture • AI adoption starts with leadership, not technology • Employees closely watch leadership behavior when deciding whether to embrace new tools • Leaders must establish clear rules for responsible AI usage before expecting adoption • Recruiting remains difficult despite high application volume because qualified talent still has choices • Technical roles often require a unique combination of certifications, expertise, and cultural fit • The labor market may feel employer-driven, but top talent still behaves like it’s candidate-driven • Employers must actively work to become an employer of choice to attract and keep top performers • Recruiting does not stop after someone accepts an offer • Jani compares employee retention to college sports recruiting where organizations must continually re-recruit talent • Employees leave when leaders stop reinforcing growth opportunities, development, and purpose • Recruiters and headhunters are constantly contacting high-performing employees • HR professionals often become “battle weary” from balancing employee needs, leadership expectations, and business demands • Conferences and peer networking help HR leaders recharge, learn, and solve challenges faster • One of the biggest questions keeping Njsane up at night is whether employees truly know how much they matter • Many cases of voluntary turnover are preventable if leaders simply listen earlier • Relationship issues with supervisors often drive departures more than compensation • Njsane prefers stay interviews over exit interviews because they create opportunities to solve problems before employees leave • His favorite stay interview question is simple: “Why do you keep coming back?” • Employee answers often reveal exactly what organizations need to protect and improve • One engagement study found employees wanted office plants more than expensive workplace perks • Many retention challenges can be solved with attention, communication, and effort rather than larger budgets • Managers often assume employees want more money when many simply want growth, communication, and career clarity Guest : Njsane Courtney Vice President of Human Resources at American Bureau of Shipping and host of the My Friend in the HR Podcast, helping organizations strengthen leadership, employee retention, talent development, and workplace culture through practical, people-first HR strategies. LinkedIN : https://www.linkedin.com/in/njsanecourtney/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 05 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network Most leaders spend more time asking why employees leave than why they stay. Njsane Courtney argues that’s backwards. The answers companies need are already sitting inside the organization. They just aren’t asking the right questions often enough. Retention isn’t a compensation problem as often as leaders think. Talent management, employee retention, AI adoption, leadership, recruiting, stay interviews. This conversation explores what happens when leaders start listening before employees start leaving. In this episode… Njsane shares why stay interviews outperform exit interviews, how leadership drives AI adoption, and why employers must continuously re-recruit their best people. Sharp discussion on retention, employee engagement, recruiting challenges, workplace culture, and leadership accountability. Key Takeaways :  • Njsane defines talent management as caring for existing employees while helping new hires become productive and connected to culture • AI adoption starts with leadership, not technology • Employees closely watch leadership behavior when deciding whether to embrace new tools • Leaders must establish clear rules for responsible AI usage before expecting adoption • Recruiting remains difficult despite high application volume because qualified talent still has choices • Technical roles often require a unique combination of certifications, expertise, and cultural fit • The labor market may feel employer-driven, but top talent still behaves like it’s candidate-driven • Employers must actively work to become an employer of choice to attract and keep top performers • Recruiting does not stop after someone accepts an offer • Jani compares employee retention to college sports recruiting where organizations must continually re-recruit talent • Employees leave when leaders stop reinforcing growth opportunities, development, and purpose • Recruiters and headhunters are constantly contacting high-performing employees • HR professionals often become “battle weary” from balancing employee needs, leadership expectations, and business demands • Conferences and peer networking help HR leaders recharge, learn, and solve challenges faster • One of the biggest questions keeping Njsane up at night is whether employees truly know how much they matter • Many cases of voluntary turnover are preventable if leaders simply listen earlier • Relationship issues with supervisors often drive departures more than compensation • Njsane prefers stay interviews over exit interviews because they create opportunities to solve problems before employees leave • His favorite stay interview question is simple: “Why do you keep coming back?” • Employee answers often reveal exactly what organizations need to protect and improve • One engagement study found employees wanted office plants more than expensive workplace perks • Many retention challenges can be solved with attention, communication, and effort rather than larger budgets • Managers often assume employees want more money when many simply want growth, communication, and career clarity Guest : Njsane Courtney Vice President of Human Resources at American Bureau of Shipping and host of the My Friend in the HR Podcast, helping organizations strengthen leadership, employee retention, talent development, and workplace culture through practical, people-first HR strategies. LinkedIN : https://www.linkedin.com/in/njsanecourtney/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most leaders spend more time asking why employees leave than why they stay. Njsane Courtney argues that’s backwards. The answers companies need are already sitting inside the organization. They just aren’t asking the right questions often enough.

Retention isn’t a compensation problem as often as leaders think. Talent management, employee retention, AI adoption, leadership, recruiting, stay interviews. This conversation explores what happens when leaders start listening before employees start leaving.

In this episode… Njsane shares why stay interviews outperform exit interviews, how leadership drives AI adoption, and why employers must continuously re-recruit their best people. Sharp discussion on retention, employee engagement, recruiting challenges, workplace culture, and leadership accountability.


Key Takeaways : 

• Njsane defines talent management as caring for existing employees while helping new hires become productive and connected to culture

• AI adoption starts with leadership, not technology

• Employees closely watch leadership behavior when deciding whether to embrace new tools

• Leaders must establish clear rules for responsible AI usage before expecting adoption

• Recruiting remains difficult despite high application volume because qualified talent still has choices

• Technical roles often require a unique combination of certifications, expertise, and cultural fit

• The labor market may feel employer-driven, but top talent still behaves like it’s candidate-driven

• Employers must actively work to become an employer of choice to attract and keep top performers

• Recruiting does not stop after someone accepts an offer

• Jani compares employee retention to college sports recruiting where organizations must continually re-recruit talent

• Employees leave when leaders stop reinforcing growth opportunities, development, and purpose

• Recruiters and headhunters are constantly contacting high-performing employees

• HR professionals often become “battle weary” from balancing employee needs, leadership expectations, and business demands

• Conferences and peer networking help HR leaders recharge, learn, and solve challenges faster

• One of the biggest questions keeping Njsane up at night is whether employees truly know how much they matter

• Many cases of voluntary turnover are preventable if leaders simply listen earlier

• Relationship issues with supervisors often drive departures more than compensation

• Njsane prefers stay interviews over exit interviews because they create opportunities to solve problems before employees leave

• His favorite stay interview question is simple: “Why do you keep coming back?”

• Employee answers often reveal exactly what organizations need to protect and improve

• One engagement study found employees wanted office plants more than expensive workplace perks

• Many retention challenges can be solved with attention, communication, and effort rather than larger budgets

• Managers often assume employees want more money when many simply want growth, communication, and career clarity


Guest : Njsane Courtney

Vice President of Human Resources at American Bureau of Shipping and host of the My Friend in the HR Podcast, helping organizations strengthen leadership, employee retention, talent development, and workplace culture through practical, people-first HR strategies.

LinkedIN : https://www.linkedin.com/in/njsanecourtney/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 1132 Everyone’s Talking About AI. Almost Nobody Knows What Adoption Actually Means Ask ten HR leaders about AI adoption and you’ll get ten different answers. Cole Napper argues that most AI conversations are broken because people are talking about completely different things. Personal AI tools. Vendor AI features. Enterprise AI systems. Same words. Different realities. The gap isn’t technology. It’s understanding. AI adoption, people analytics, workforce intelligence, recruiting, skills development, HR technology. This conversation cuts through the noise and gets to what actually matters. In this episode… Cole Napper breaks down why AI adoption conversations are so confusing, why workforce analytics is more than dashboards and reporting, and why the future belongs to people who can connect data, decisions, and business outcomes. Sharp discussion on recruiting, skills gaps, AI strategy, talent intelligence, and workforce transformation. Key Takeaways : • Cole says most AI adoption conversations fail because people are discussing three completely different categories of AI without realizing it • Individual AI usage, vendor AI products, and enterprise AI systems create very different business outcomes • Organizations reporting major AI gains are usually talking about deeply integrated enterprise systems, not simple chatbot usage • AI implementation requires significant experimentation, iteration, and ongoing maintenance • New AI releases often create change management challenges for employees and organizations • Recruiting compensation expectations may be further apart today than at any point in Cole’s career • Candidate salary expectations and employer pay ranges continue to diverge significantly • Cole defines talent as “performance minus effort” • The highest-value employees create strong outcomes with less effort, friction, and wasted work • Workforce skill requirements are accelerating faster than many employees and employers are willing to adapt • Cole believes the growing skills gap could become one of the biggest workforce challenges of the next decade • Most people confuse workforce analytics with simply counting things and building dashboards • Analytics only becomes valuable when it creates insights that drive decisions and measurable business outcomes • A dashboard is useless if it cannot tell leaders what action to take next • Cole compares workforce intelligence to asking a weather forecast one question: “Do I need an umbrella?” • Organizations often spend too much time collecting data and not enough time generating intelligence • The most valuable business insights are often hidden in information that isn’t publicly shared • Companies doing truly innovative work rarely showcase every detail because it creates competitive advantage • Future workforce success will belong to people who can combine technical expertise, business thinking, communication, and creativity • Intelligence only matters when someone acts on it Guest : Cole Napper  Chief People Intelligence Officer at HRBench, author of People Analytics, founder of the Data Driven HR Academy, and one of the leading voices helping organizations turn workforce data into business intelligence and better decisions. LinkedIN : https://www.linkedin.com/in/colenapper/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Thu, 04 Jun 2026 08:16:00 -0000 full WRKdefined Podcast Network Ask ten HR leaders about AI adoption and you’ll get ten different answers. Cole Napper argues that most AI conversations are broken because people are talking about completely different things. Personal AI tools. Vendor AI features. Enterprise AI systems. Same words. Different realities. The gap isn’t technology. It’s understanding. AI adoption, people analytics, workforce intelligence, recruiting, skills development, HR technology. This conversation cuts through the noise and gets to what actually matters. In this episode… Cole Napper breaks down why AI adoption conversations are so confusing, why workforce analytics is more than dashboards and reporting, and why the future belongs to people who can connect data, decisions, and business outcomes. Sharp discussion on recruiting, skills gaps, AI strategy, talent intelligence, and workforce transformation. Key Takeaways : • Cole says most AI adoption conversations fail because people are discussing three completely different categories of AI without realizing it • Individual AI usage, vendor AI products, and enterprise AI systems create very different business outcomes • Organizations reporting major AI gains are usually talking about deeply integrated enterprise systems, not simple chatbot usage • AI implementation requires significant experimentation, iteration, and ongoing maintenance • New AI releases often create change management challenges for employees and organizations • Recruiting compensation expectations may be further apart today than at any point in Cole’s career • Candidate salary expectations and employer pay ranges continue to diverge significantly • Cole defines talent as “performance minus effort” • The highest-value employees create strong outcomes with less effort, friction, and wasted work • Workforce skill requirements are accelerating faster than many employees and employers are willing to adapt • Cole believes the growing skills gap could become one of the biggest workforce challenges of the next decade • Most people confuse workforce analytics with simply counting things and building dashboards • Analytics only becomes valuable when it creates insights that drive decisions and measurable business outcomes • A dashboard is useless if it cannot tell leaders what action to take next • Cole compares workforce intelligence to asking a weather forecast one question: “Do I need an umbrella?” • Organizations often spend too much time collecting data and not enough time generating intelligence • The most valuable business insights are often hidden in information that isn’t publicly shared • Companies doing truly innovative work rarely showcase every detail because it creates competitive advantage • Future workforce success will belong to people who can combine technical expertise, business thinking, communication, and creativity • Intelligence only matters when someone acts on it Guest : Cole Napper  Chief People Intelligence Officer at HRBench, author of People Analytics, founder of the Data Driven HR Academy, and one of the leading voices helping organizations turn workforce data into business intelligence and better decisions. LinkedIN : https://www.linkedin.com/in/colenapper/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Ask ten HR leaders about AI adoption and you’ll get ten different answers. Cole Napper argues that most AI conversations are broken because people are talking about completely different things. Personal AI tools. Vendor AI features. Enterprise AI systems. Same words. Different realities.

The gap isn’t technology. It’s understanding. AI adoption, people analytics, workforce intelligence, recruiting, skills development, HR technology. This conversation cuts through the noise and gets to what actually matters.

In this episode… Cole Napper breaks down why AI adoption conversations are so confusing, why workforce analytics is more than dashboards and reporting, and why the future belongs to people who can connect data, decisions, and business outcomes. Sharp discussion on recruiting, skills gaps, AI strategy, talent intelligence, and workforce transformation.


Key Takeaways :

• Cole says most AI adoption conversations fail because people are discussing three completely different categories of AI without realizing it

• Individual AI usage, vendor AI products, and enterprise AI systems create very different business outcomes

• Organizations reporting major AI gains are usually talking about deeply integrated enterprise systems, not simple chatbot usage

• AI implementation requires significant experimentation, iteration, and ongoing maintenance

• New AI releases often create change management challenges for employees and organizations

• Recruiting compensation expectations may be further apart today than at any point in Cole’s career

• Candidate salary expectations and employer pay ranges continue to diverge significantly

• Cole defines talent as “performance minus effort”

• The highest-value employees create strong outcomes with less effort, friction, and wasted work

• Workforce skill requirements are accelerating faster than many employees and employers are willing to adapt

• Cole believes the growing skills gap could become one of the biggest workforce challenges of the next decade

• Most people confuse workforce analytics with simply counting things and building dashboards

• Analytics only becomes valuable when it creates insights that drive decisions and measurable business outcomes

• A dashboard is useless if it cannot tell leaders what action to take next

• Cole compares workforce intelligence to asking a weather forecast one question: “Do I need an umbrella?”

• Organizations often spend too much time collecting data and not enough time generating intelligence

• The most valuable business insights are often hidden in information that isn’t publicly shared

• Companies doing truly innovative work rarely showcase every detail because it creates competitive advantage

• Future workforce success will belong to people who can combine technical expertise, business thinking, communication, and creativity

• Intelligence only matters when someone acts on it


Guest : Cole Napper 

Chief People Intelligence Officer at HRBench, author of People Analytics, founder of the Data Driven HR Academy, and one of the leading voices helping organizations turn workforce data into business intelligence and better decisions.

LinkedIN : https://www.linkedin.com/in/colenapper/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 1232 no AI Is Turning Recruiting Into a Trust Problem Every candidate suddenly sounds polished. Every resume looks optimized. Every interview answer feels rehearsed. Isela Conley breaks down what hiring leaders are quietly struggling with right now: figuring out who actually knows the job versus who just knows how to use AI better. Recruiting isn’t getting easier with AI. It’s getting noisier. Quality of hire, candidate experience, hiring managers, AI recruiting, talent operations. This conversation cuts into the operational reality most HR teams are dealing with behind the scenes. In this episode, Isela Conley explains why AI is making hiring harder instead of easier, how recruiting teams are adapting their interview processes, and why adoption matters more than features when rolling out HR tech. Sharp discussion on quality of hire, hiring manager enablement, recruiter operations, candidate experience, and AI-driven hiring decisions. Key Takeaways :  • Isela says AI is now involved in almost every stage of the candidate process • Candidates are using AI for resumes, interview prep, STAR responses, and prediction modeling • Hiring leaders now have to separate polished answers from real capability • “AI is fighting AI” was her description of modern recruiting • Quality of hire is the metric keeping her up at night • Recruiting teams are increasingly using AI to analyze interview scorecards and identify hiring patterns • Talent management today is less about process and more about enabling recruiters and hiring leaders • Companies are still recruiting employees long after they’re hired because retention never stops • Candidate experience surveys are becoming critical feedback loops for recruiting teams • Isela’s team measures interview-to-hire ratios and hire-to-production ratios closely • AI adoption inside organizations requires hands-on enablement, not just software rollouts • Her approach to adoption: draw a line in the sand and train people directly • Hiring managers adopt new systems faster once they see reduced stress and faster hiring outcomes • Podcasts, newsletters, and market feedback are core parts of how she stays current in recruiting Guest : Isela Conley Vice President, Talent Strategy & HR Operations at isolved, leading hiring strategy, recruiter operations, and talent enablement across a fast-moving HR tech environment. LinkedIN : https://www.linkedin.com/in/iselaconley/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Thu, 04 Jun 2026 08:15:00 -0000 full WRKdefined Podcast Network Every candidate suddenly sounds polished. Every resume looks optimized. Every interview answer feels rehearsed. Isela Conley breaks down what hiring leaders are quietly struggling with right now: figuring out who actually knows the job versus who just knows how to use AI better. Recruiting isn’t getting easier with AI. It’s getting noisier. Quality of hire, candidate experience, hiring managers, AI recruiting, talent operations. This conversation cuts into the operational reality most HR teams are dealing with behind the scenes. In this episode, Isela Conley explains why AI is making hiring harder instead of easier, how recruiting teams are adapting their interview processes, and why adoption matters more than features when rolling out HR tech. Sharp discussion on quality of hire, hiring manager enablement, recruiter operations, candidate experience, and AI-driven hiring decisions. Key Takeaways :  • Isela says AI is now involved in almost every stage of the candidate process • Candidates are using AI for resumes, interview prep, STAR responses, and prediction modeling • Hiring leaders now have to separate polished answers from real capability • “AI is fighting AI” was her description of modern recruiting • Quality of hire is the metric keeping her up at night • Recruiting teams are increasingly using AI to analyze interview scorecards and identify hiring patterns • Talent management today is less about process and more about enabling recruiters and hiring leaders • Companies are still recruiting employees long after they’re hired because retention never stops • Candidate experience surveys are becoming critical feedback loops for recruiting teams • Isela’s team measures interview-to-hire ratios and hire-to-production ratios closely • AI adoption inside organizations requires hands-on enablement, not just software rollouts • Her approach to adoption: draw a line in the sand and train people directly • Hiring managers adopt new systems faster once they see reduced stress and faster hiring outcomes • Podcasts, newsletters, and market feedback are core parts of how she stays current in recruiting Guest : Isela Conley Vice President, Talent Strategy & HR Operations at isolved, leading hiring strategy, recruiter operations, and talent enablement across a fast-moving HR tech environment. LinkedIN : https://www.linkedin.com/in/iselaconley/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Every candidate suddenly sounds polished. Every resume looks optimized. Every interview answer feels rehearsed. Isela Conley breaks down what hiring leaders are quietly struggling with right now: figuring out who actually knows the job versus who just knows how to use AI better.

Recruiting isn’t getting easier with AI. It’s getting noisier. Quality of hire, candidate experience, hiring managers, AI recruiting, talent operations. This conversation cuts into the operational reality most HR teams are dealing with behind the scenes.

In this episode, Isela Conley explains why AI is making hiring harder instead of easier, how recruiting teams are adapting their interview processes, and why adoption matters more than features when rolling out HR tech. Sharp discussion on quality of hire, hiring manager enablement, recruiter operations, candidate experience, and AI-driven hiring decisions.


Key Takeaways : 

• Isela says AI is now involved in almost every stage of the candidate process

• Candidates are using AI for resumes, interview prep, STAR responses, and prediction modeling

• Hiring leaders now have to separate polished answers from real capability

• “AI is fighting AI” was her description of modern recruiting

• Quality of hire is the metric keeping her up at night

• Recruiting teams are increasingly using AI to analyze interview scorecards and identify hiring patterns

• Talent management today is less about process and more about enabling recruiters and hiring leaders

• Companies are still recruiting employees long after they’re hired because retention never stops

• Candidate experience surveys are becoming critical feedback loops for recruiting teams

• Isela’s team measures interview-to-hire ratios and hire-to-production ratios closely

• AI adoption inside organizations requires hands-on enablement, not just software rollouts

• Her approach to adoption: draw a line in the sand and train people directly

• Hiring managers adopt new systems faster once they see reduced stress and faster hiring outcomes

• Podcasts, newsletters, and market feedback are core parts of how she stays current in recruiting


Guest : Isela Conley

Vice President, Talent Strategy & HR Operations at isolved, leading hiring strategy, recruiter operations, and talent enablement across a fast-moving HR tech environment.

LinkedIN : https://www.linkedin.com/in/iselaconley/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 541 no HR Is Under More Scrutiny Than Ever. Are You Ready to Prove Your Decisions? The days of “trust us, we investigated it” are over. Jackie Schafer explains why HR teams are facing increasing pressure to document decisions, prove fairness, and back every conclusion with evidence. In a world of growing compliance scrutiny, good intentions are no longer enough. The future of HR may look a lot more like legal work than people expect. Employee relations, investigations, compliance, AI, workplace trust, talent management. This conversation explores how HR can balance accountability, dignity, and innovation at the same time. In this episode… Jackie Schafer shares why evidence-backed investigations are becoming critical for HR teams, how AI is changing workplace documentation, and why talent management extends far beyond recruiting. Sharp discussion on compliance, employee relations, leadership, innovation, and building trust through better processes. Key Takeaways : • Jackie believes talent management should cover the entire employee experience, not just hiring and development • Employee relations investigations are becoming a critical part of modern talent management • Every workplace complaint deserves a fair, evidence-based review rather than assumptions or shortcuts • HR leaders face increasing scrutiny around how discrimination and workplace complaints are investigated • Documentation quality can significantly impact legal risk and organizational trust • Jackie built Clearbrief to help ensure every statement in an investigation report is supported by evidence • Compliance mistakes can create far greater consequences than productivity mistakes • Respect and dignity should be extended to everyone involved in an investigation, regardless of the allegation • Innovation often comes from combining deep expertise with ideas borrowed from entirely different industries • Jackie says the best innovators become fluent in their field while staying curious about other disciplines • She started exploring AI's legal applications in 2019, years before mainstream adoption accelerated • Clearbrief is used by major law firms, courts, government agencies, Microsoft, and enterprise organizations • Jackie believes leaders are made through experience, mentorship, and continuous learning • Bad leaders can teach leadership lessons just as effectively as great leaders • Strong leaders evolve constantly by learning from conversations, challenges, and changing environments Guest : Jackie Schafer  Founder and CEO of Clearbrief, a legal and HR technology company helping organizations create evidence-backed investigations, improve compliance processes, and reduce risk through AI-powered documentation. LinkedIN : https://www.linkedin.com/in/jackieschafer/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Thu, 04 Jun 2026 08:14:00 -0000 full WRKdefined Podcast Network The days of “trust us, we investigated it” are over. Jackie Schafer explains why HR teams are facing increasing pressure to document decisions, prove fairness, and back every conclusion with evidence. In a world of growing compliance scrutiny, good intentions are no longer enough. The future of HR may look a lot more like legal work than people expect. Employee relations, investigations, compliance, AI, workplace trust, talent management. This conversation explores how HR can balance accountability, dignity, and innovation at the same time. In this episode… Jackie Schafer shares why evidence-backed investigations are becoming critical for HR teams, how AI is changing workplace documentation, and why talent management extends far beyond recruiting. Sharp discussion on compliance, employee relations, leadership, innovation, and building trust through better processes. Key Takeaways : • Jackie believes talent management should cover the entire employee experience, not just hiring and development • Employee relations investigations are becoming a critical part of modern talent management • Every workplace complaint deserves a fair, evidence-based review rather than assumptions or shortcuts • HR leaders face increasing scrutiny around how discrimination and workplace complaints are investigated • Documentation quality can significantly impact legal risk and organizational trust • Jackie built Clearbrief to help ensure every statement in an investigation report is supported by evidence • Compliance mistakes can create far greater consequences than productivity mistakes • Respect and dignity should be extended to everyone involved in an investigation, regardless of the allegation • Innovation often comes from combining deep expertise with ideas borrowed from entirely different industries • Jackie says the best innovators become fluent in their field while staying curious about other disciplines • She started exploring AI's legal applications in 2019, years before mainstream adoption accelerated • Clearbrief is used by major law firms, courts, government agencies, Microsoft, and enterprise organizations • Jackie believes leaders are made through experience, mentorship, and continuous learning • Bad leaders can teach leadership lessons just as effectively as great leaders • Strong leaders evolve constantly by learning from conversations, challenges, and changing environments Guest : Jackie Schafer  Founder and CEO of Clearbrief, a legal and HR technology company helping organizations create evidence-backed investigations, improve compliance processes, and reduce risk through AI-powered documentation. LinkedIN : https://www.linkedin.com/in/jackieschafer/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ The days of “trust us, we investigated it” are over. Jackie Schafer explains why HR teams are facing increasing pressure to document decisions, prove fairness, and back every conclusion with evidence. In a world of growing compliance scrutiny, good intentions are no longer enough.

The future of HR may look a lot more like legal work than people expect. Employee relations, investigations, compliance, AI, workplace trust, talent management. This conversation explores how HR can balance accountability, dignity, and innovation at the same time.

In this episode… Jackie Schafer shares why evidence-backed investigations are becoming critical for HR teams, how AI is changing workplace documentation, and why talent management extends far beyond recruiting. Sharp discussion on compliance, employee relations, leadership, innovation, and building trust through better processes.


Key Takeaways :

• Jackie believes talent management should cover the entire employee experience, not just hiring and development

• Employee relations investigations are becoming a critical part of modern talent management

• Every workplace complaint deserves a fair, evidence-based review rather than assumptions or shortcuts

• HR leaders face increasing scrutiny around how discrimination and workplace complaints are investigated

• Documentation quality can significantly impact legal risk and organizational trust

• Jackie built Clearbrief to help ensure every statement in an investigation report is supported by evidence

• Compliance mistakes can create far greater consequences than productivity mistakes

• Respect and dignity should be extended to everyone involved in an investigation, regardless of the allegation

• Innovation often comes from combining deep expertise with ideas borrowed from entirely different industries

• Jackie says the best innovators become fluent in their field while staying curious about other disciplines

• She started exploring AI's legal applications in 2019, years before mainstream adoption accelerated

• Clearbrief is used by major law firms, courts, government agencies, Microsoft, and enterprise organizations

• Jackie believes leaders are made through experience, mentorship, and continuous learning

• Bad leaders can teach leadership lessons just as effectively as great leaders

• Strong leaders evolve constantly by learning from conversations, challenges, and changing environments


Guest : Jackie Schafer 

Founder and CEO of Clearbrief, a legal and HR technology company helping organizations create evidence-backed investigations, improve compliance processes, and reduce risk through AI-powered documentation.

LinkedIN : https://www.linkedin.com/in/jackieschafer/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 538 no You’re Hiring for Skills. The Best Companies Hire for Potential Most organizations are still measuring the wrong things. They hire for today’s job description while the role changes six months later. Art Jackson argues the companies winning the talent game aren’t looking for perfect resumes. They’re identifying the people who can adapt, learn, lead, and grow into what comes next. The problem isn’t talent. It’s what we choose to measure. Soft skills, workforce agility, AI, leadership, talent development, hiring strategy. This conversation challenges some of the oldest assumptions in recruiting and workforce planning. In this episode… Art Jackson explains why organizations need a new career code, why soft skills are becoming more valuable than technical expertise, and what the movie *Moneyball* can teach recruiters about hiring. Sharp discussion on leadership potential, critical thinking, AI, workforce development, and measuring what actually predicts success. Key Takeaways : • Art uses the *Moneyball* story to argue that companies often hire for the wrong metrics • The best hiring decisions focus on outcomes and potential, not just credentials and experience • Organizations should identify people who can grow into future roles, not just perform current ones • Art believes adaptability is becoming one of the most important workforce traits • His former manager promoted him into project management despite having no project management title or formal experience • The promotion happened because of demonstrated soft skills, not technical qualifications • Art argues accountability, focus, leadership, and people skills are harder to find than technical skills • Hard skills can often be taught quickly, while soft skills take years to develop • Many organizations still prioritize technical expertise over leadership capability • AI will automate tasks, but human judgment, empathy, coaching, and influence remain difficult to replicate • Art believes people using AI will outperform people who ignore it • Critical thinking is one of the most overlooked skills in education and workforce development today • Schools still focus heavily on technical subjects while spending less time developing human-centered skills • Some of the smartest technical employees struggle because they cannot communicate ideas clearly • Organizations often need leaders who can keep experts focused, aligned, and accountable • Art argues HR leaders should be strategic business partners, not just compliance managers Guest : Art Jackson Founder of Eagles Nest Performance Management and leadership strategist helping organizations identify high-potential talent, develop workforce agility, and build leadership pipelines that extend beyond traditional hiring metrics. LinkedIN :  https://www.linkedin.com/in/artjackson/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Thu, 04 Jun 2026 08:13:00 -0000 full WRKdefined Podcast Network Most organizations are still measuring the wrong things. They hire for today’s job description while the role changes six months later. Art Jackson argues the companies winning the talent game aren’t looking for perfect resumes. They’re identifying the people who can adapt, learn, lead, and grow into what comes next. The problem isn’t talent. It’s what we choose to measure. Soft skills, workforce agility, AI, leadership, talent development, hiring strategy. This conversation challenges some of the oldest assumptions in recruiting and workforce planning. In this episode… Art Jackson explains why organizations need a new career code, why soft skills are becoming more valuable than technical expertise, and what the movie *Moneyball* can teach recruiters about hiring. Sharp discussion on leadership potential, critical thinking, AI, workforce development, and measuring what actually predicts success. Key Takeaways : • Art uses the *Moneyball* story to argue that companies often hire for the wrong metrics • The best hiring decisions focus on outcomes and potential, not just credentials and experience • Organizations should identify people who can grow into future roles, not just perform current ones • Art believes adaptability is becoming one of the most important workforce traits • His former manager promoted him into project management despite having no project management title or formal experience • The promotion happened because of demonstrated soft skills, not technical qualifications • Art argues accountability, focus, leadership, and people skills are harder to find than technical skills • Hard skills can often be taught quickly, while soft skills take years to develop • Many organizations still prioritize technical expertise over leadership capability • AI will automate tasks, but human judgment, empathy, coaching, and influence remain difficult to replicate • Art believes people using AI will outperform people who ignore it • Critical thinking is one of the most overlooked skills in education and workforce development today • Schools still focus heavily on technical subjects while spending less time developing human-centered skills • Some of the smartest technical employees struggle because they cannot communicate ideas clearly • Organizations often need leaders who can keep experts focused, aligned, and accountable • Art argues HR leaders should be strategic business partners, not just compliance managers Guest : Art Jackson Founder of Eagles Nest Performance Management and leadership strategist helping organizations identify high-potential talent, develop workforce agility, and build leadership pipelines that extend beyond traditional hiring metrics. LinkedIN :  https://www.linkedin.com/in/artjackson/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most organizations are still measuring the wrong things. They hire for today’s job description while the role changes six months later. Art Jackson argues the companies winning the talent game aren’t looking for perfect resumes. They’re identifying the people who can adapt, learn, lead, and grow into what comes next.

The problem isn’t talent. It’s what we choose to measure. Soft skills, workforce agility, AI, leadership, talent development, hiring strategy. This conversation challenges some of the oldest assumptions in recruiting and workforce planning.

In this episode… Art Jackson explains why organizations need a new career code, why soft skills are becoming more valuable than technical expertise, and what the movie *Moneyball* can teach recruiters about hiring. Sharp discussion on leadership potential, critical thinking, AI, workforce development, and measuring what actually predicts success.


Key Takeaways :

• Art uses the *Moneyball* story to argue that companies often hire for the wrong metrics

• The best hiring decisions focus on outcomes and potential, not just credentials and experience

• Organizations should identify people who can grow into future roles, not just perform current ones

• Art believes adaptability is becoming one of the most important workforce traits

• His former manager promoted him into project management despite having no project management title or formal experience

• The promotion happened because of demonstrated soft skills, not technical qualifications

• Art argues accountability, focus, leadership, and people skills are harder to find than technical skills

• Hard skills can often be taught quickly, while soft skills take years to develop

• Many organizations still prioritize technical expertise over leadership capability

• AI will automate tasks, but human judgment, empathy, coaching, and influence remain difficult to replicate

• Art believes people using AI will outperform people who ignore it

• Critical thinking is one of the most overlooked skills in education and workforce development today

• Schools still focus heavily on technical subjects while spending less time developing human-centered skills

• Some of the smartest technical employees struggle because they cannot communicate ideas clearly

• Organizations often need leaders who can keep experts focused, aligned, and accountable

• Art argues HR leaders should be strategic business partners, not just compliance managers


Guest : Art Jackson

Founder of Eagles Nest Performance Management and leadership strategist helping organizations identify high-potential talent, develop workforce agility, and build leadership pipelines that extend beyond traditional hiring metrics.

LinkedIN :  https://www.linkedin.com/in/artjackson/

Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 859 no HR Doesn’t Have an AI Problem. It Has a Trust Problem AI adoption isn’t failing because of technology. It’s failing because companies still don’t know what problem they’re solving. Every HR platform suddenly has “AI” slapped on the homepage. Meanwhile buyers are stuck asking the real questions: Is this secure? Is this ethical? And is my company data quietly training someone else’s model? In this episode, Amit Parmar breaks down why AI adoption in HR is getting harder, not easier. He explains why governance now matters more than features, why “talent acquisition” is outdated language, and why the future belongs to companies that learn how to access talent, not just hire it. Key Takeaways :  • Every HR tech vendor now claims AI, but buyers are becoming far more skeptical • The biggest AI risk in HR is data privacy and whether company information leaks into open models • Enterprise software buying cycles are getting longer because AI governance scrutiny has exploded • Procurement and IT security now have significantly more influence in HR tech decisions • Companies are finally asking tougher questions about AI ethics, equity, and transparency • Most organizations still skip the most important question: “What problem are we actually solving?” • AI experimentation is everywhere, but outcome-driven implementation is still rare • “Talent acquisition” is evolving into “talent access” because companies now mix full-time, internal, and gig talent strategies • HR teams now need reskilling just as much as the broader workforce • The companies moving fastest with AI are the ones treating HR as an adoption driver, not an observer • Human storytelling still matters because people connect with people, not automated content • AI adoption success will depend more on adaptability and governance than flashy features Guest: Amit Parmar CEO & Co-Founder at Cliquify Former HR leader at IBM and Thermo Fisher building AI-powered employer branding through storytelling. LinkedIN : https://www.linkedin.com/in/parmar79/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:56:00 -0000 full WRKdefined Podcast Network AI adoption isn’t failing because of technology. It’s failing because companies still don’t know what problem they’re solving. Every HR platform suddenly has “AI” slapped on the homepage. Meanwhile buyers are stuck asking the real questions: Is this secure? Is this ethical? And is my company data quietly training someone else’s model? In this episode, Amit Parmar breaks down why AI adoption in HR is getting harder, not easier. He explains why governance now matters more than features, why “talent acquisition” is outdated language, and why the future belongs to companies that learn how to access talent, not just hire it. Key Takeaways :  • Every HR tech vendor now claims AI, but buyers are becoming far more skeptical • The biggest AI risk in HR is data privacy and whether company information leaks into open models • Enterprise software buying cycles are getting longer because AI governance scrutiny has exploded • Procurement and IT security now have significantly more influence in HR tech decisions • Companies are finally asking tougher questions about AI ethics, equity, and transparency • Most organizations still skip the most important question: “What problem are we actually solving?” • AI experimentation is everywhere, but outcome-driven implementation is still rare • “Talent acquisition” is evolving into “talent access” because companies now mix full-time, internal, and gig talent strategies • HR teams now need reskilling just as much as the broader workforce • The companies moving fastest with AI are the ones treating HR as an adoption driver, not an observer • Human storytelling still matters because people connect with people, not automated content • AI adoption success will depend more on adaptability and governance than flashy features Guest: Amit Parmar CEO & Co-Founder at Cliquify Former HR leader at IBM and Thermo Fisher building AI-powered employer branding through storytelling. LinkedIN : https://www.linkedin.com/in/parmar79/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ AI adoption isn’t failing because of technology. It’s failing because companies still don’t know what problem they’re solving.

Every HR platform suddenly has “AI” slapped on the homepage. Meanwhile buyers are stuck asking the real questions: Is this secure? Is this ethical? And is my company data quietly training someone else’s model?

In this episode, Amit Parmar breaks down why AI adoption in HR is getting harder, not easier. He explains why governance now matters more than features, why “talent acquisition” is outdated language, and why the future belongs to companies that learn how to access talent, not just hire it.

Key Takeaways : 

• Every HR tech vendor now claims AI, but buyers are becoming far more skeptical

• The biggest AI risk in HR is data privacy and whether company information leaks into open models

• Enterprise software buying cycles are getting longer because AI governance scrutiny has exploded

• Procurement and IT security now have significantly more influence in HR tech decisions

• Companies are finally asking tougher questions about AI ethics, equity, and transparency

• Most organizations still skip the most important question: “What problem are we actually solving?”

• AI experimentation is everywhere, but outcome-driven implementation is still rare

• “Talent acquisition” is evolving into “talent access” because companies now mix full-time, internal, and gig talent strategies

• HR teams now need reskilling just as much as the broader workforce

• The companies moving fastest with AI are the ones treating HR as an adoption driver, not an observer

• Human storytelling still matters because people connect with people, not automated content

• AI adoption success will depend more on adaptability and governance than flashy features


Guest: Amit Parmar

CEO & Co-Founder at Cliquify

Former HR leader at IBM and Thermo Fisher building AI-powered employer branding through storytelling.

LinkedIN : https://www.linkedin.com/in/parmar79/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 577 no Leadership Changed Overnight. Most Managers Haven’t Caught Up Most companies still hire for resumes. Meanwhile the real gap is human judgment, AI fluency, adaptability, and leadership under pressure. That’s the shift Yigal Rosen is betting on. If your people can’t learn fast, manage ambiguity, or work alongside AI, the skills on paper stop mattering real quick. In this episode, Yigal Rosen breaks down why “soft skills” is outdated language, how companies should measure power skills, and why self-directed learning is becoming the defining trait of modern talent. He also explains why leadership isn’t about personality traits anymore. It’s about competencies you can actually build. • AI fluency is now treated like a core workplace competency, not a bonus skill • Companies are moving from hiring assessments to continuous employee skill benchmarking • “Soft skills” no longer explains the complexity of creativity, judgment, and adaptability • The half-life of skills is shrinking fast because AI changes workflows constantly • A skill rated 7/10 in one environment may collapse in a different context • High performers are being mapped through “power skill prints” to understand what actually drives results • Leadership under uncertainty is becoming a required competency across every level, not just executives • Many companies now expect every employee to actively work with AI tools daily • Self-directed learning is becoming one of the most valuable workplace skills • The line between individual contributors and managers is disappearing because employees now manage AI agents • Traits and competencies are not the same thing. Great leaders often develop leadership through reflection and skill-building • Companies are shifting toward just-in-time skill development instead of static training programs Guest: Yigal Rosen Co-Founder & Chief Product Officer Ignis AI Building AI-powered assessments focused on power skills, leadership, adaptability, and human judgment in the AI era. LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:53:00 -0000 full WRKdefined Podcast Network Most companies still hire for resumes. Meanwhile the real gap is human judgment, AI fluency, adaptability, and leadership under pressure. That’s the shift Yigal Rosen is betting on. If your people can’t learn fast, manage ambiguity, or work alongside AI, the skills on paper stop mattering real quick. In this episode, Yigal Rosen breaks down why “soft skills” is outdated language, how companies should measure power skills, and why self-directed learning is becoming the defining trait of modern talent. He also explains why leadership isn’t about personality traits anymore. It’s about competencies you can actually build. • AI fluency is now treated like a core workplace competency, not a bonus skill • Companies are moving from hiring assessments to continuous employee skill benchmarking • “Soft skills” no longer explains the complexity of creativity, judgment, and adaptability • The half-life of skills is shrinking fast because AI changes workflows constantly • A skill rated 7/10 in one environment may collapse in a different context • High performers are being mapped through “power skill prints” to understand what actually drives results • Leadership under uncertainty is becoming a required competency across every level, not just executives • Many companies now expect every employee to actively work with AI tools daily • Self-directed learning is becoming one of the most valuable workplace skills • The line between individual contributors and managers is disappearing because employees now manage AI agents • Traits and competencies are not the same thing. Great leaders often develop leadership through reflection and skill-building • Companies are shifting toward just-in-time skill development instead of static training programs Guest: Yigal Rosen Co-Founder & Chief Product Officer Ignis AI Building AI-powered assessments focused on power skills, leadership, adaptability, and human judgment in the AI era. LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most companies still hire for resumes. Meanwhile the real gap is human judgment, AI fluency, adaptability, and leadership under pressure. That’s the shift Yigal Rosen is betting on. If your people can’t learn fast, manage ambiguity, or work alongside AI, the skills on paper stop mattering real quick. In this episode, Yigal Rosen breaks down why “soft skills” is outdated language, how companies should measure power skills, and why self-directed learning is becoming the defining trait of modern talent. He also explains why leadership isn’t about personality traits anymore. It’s about competencies you can actually build. • AI fluency is now treated like a core workplace competency, not a bonus skill • Companies are moving from hiring assessments to continuous employee skill benchmarking • “Soft skills” no longer explains the complexity of creativity, judgment, and adaptability • The half-life of skills is shrinking fast because AI changes workflows constantly • A skill rated 7/10 in one environment may collapse in a different context • High performers are being mapped through “power skill prints” to understand what actually drives results • Leadership under uncertainty is becoming a required competency across every level, not just executives • Many companies now expect every employee to actively work with AI tools daily • Self-directed learning is becoming one of the most valuable workplace skills • The line between individual contributors and managers is disappearing because employees now manage AI agents • Traits and competencies are not the same thing. Great leaders often develop leadership through reflection and skill-building • Companies are shifting toward just-in-time skill development instead of static training programs Guest: Yigal Rosen Co-Founder & Chief Product Officer Ignis AI Building AI-powered assessments focused on power skills, leadership, adaptability, and human judgment in the AI era. LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/


Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

]]> 692 no Everybody Talks About Burnout. Almost Nobody Knows How to Prevent It Everybody talks about productivity. Almost nobody talks about maintenance. Jim Giovannini dropped one of the simplest frameworks for leadership burnout we’ve heard in a long time: PIES. Physical. Intellectual. Emotional. Spiritual. Miss one long enough and eventually the whole system cracks. Most leadership programs still feel copy-pasted and lifeless. Jim argues companies are over-automating development while underinvesting in human connection. Leadership development, recruiting, burnout, experiential learning, talent management, AI resumes. This conversation goes straight at the human side of work most companies ignore. In this episode, Jim Giovannini explains why leadership is both born and built, why “out-of-the-box” leadership programs fail, and why hiring still comes down to human connection. Plus, his PIES framework for avoiding burnout might be the most practical thing you hear this week. Key Takeaways : • Jim says leadership exists at every level, not just the CEO seat • Most companies are unhappy with generic “one-size-fits-all” leadership programs • Leadership training works better in person than fully automated online systems • Experiential learning creates stronger leadership retention than passive learning • Jim previously worked with first-generation and low-income students through education programs • AI-written resumes are making it harder for recruiters to identify real people • Recruiting still requires “a human talking to another human” to assess fit • Extroverts naturally connect faster in interviews, but introverts can become strong leaders too • Jim believes leadership development should include introverts, ambiverts, and frontline workers • Burnout happens when people stop investing in themselves outside of work • His “PIES” framework focuses on Physical, Intellectual, Emotional, and Spiritual recharge • “Positive selfishness” means protecting your own energy before burnout makes you useless to everyone else Guest : Jim Giovannini | Elevated Minds CEO of Elevated Minds helping organizations rethink leadership development through human connection, experiential learning, and workforce coaching. LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:52:00 -0000 full WRKdefined Podcast Network Everybody talks about productivity. Almost nobody talks about maintenance. Jim Giovannini dropped one of the simplest frameworks for leadership burnout we’ve heard in a long time: PIES. Physical. Intellectual. Emotional. Spiritual. Miss one long enough and eventually the whole system cracks. Most leadership programs still feel copy-pasted and lifeless. Jim argues companies are over-automating development while underinvesting in human connection. Leadership development, recruiting, burnout, experiential learning, talent management, AI resumes. This conversation goes straight at the human side of work most companies ignore. In this episode, Jim Giovannini explains why leadership is both born and built, why “out-of-the-box” leadership programs fail, and why hiring still comes down to human connection. Plus, his PIES framework for avoiding burnout might be the most practical thing you hear this week. Key Takeaways : • Jim says leadership exists at every level, not just the CEO seat • Most companies are unhappy with generic “one-size-fits-all” leadership programs • Leadership training works better in person than fully automated online systems • Experiential learning creates stronger leadership retention than passive learning • Jim previously worked with first-generation and low-income students through education programs • AI-written resumes are making it harder for recruiters to identify real people • Recruiting still requires “a human talking to another human” to assess fit • Extroverts naturally connect faster in interviews, but introverts can become strong leaders too • Jim believes leadership development should include introverts, ambiverts, and frontline workers • Burnout happens when people stop investing in themselves outside of work • His “PIES” framework focuses on Physical, Intellectual, Emotional, and Spiritual recharge • “Positive selfishness” means protecting your own energy before burnout makes you useless to everyone else Guest : Jim Giovannini | Elevated Minds CEO of Elevated Minds helping organizations rethink leadership development through human connection, experiential learning, and workforce coaching. LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Everybody talks about productivity. Almost nobody talks about maintenance. Jim Giovannini dropped one of the simplest frameworks for leadership burnout we’ve heard in a long time: PIES. Physical. Intellectual. Emotional. Spiritual. Miss one long enough and eventually the whole system cracks.

Most leadership programs still feel copy-pasted and lifeless. Jim argues companies are over-automating development while underinvesting in human connection. Leadership development, recruiting, burnout, experiential learning, talent management, AI resumes. This conversation goes straight at the human side of work most companies ignore.

In this episode, Jim Giovannini explains why leadership is both born and built, why “out-of-the-box” leadership programs fail, and why hiring still comes down to human connection. Plus, his PIES framework for avoiding burnout might be the most practical thing you hear this week.

Key Takeaways :

• Jim says leadership exists at every level, not just the CEO seat

• Most companies are unhappy with generic “one-size-fits-all” leadership programs

• Leadership training works better in person than fully automated online systems

• Experiential learning creates stronger leadership retention than passive learning

• Jim previously worked with first-generation and low-income students through education programs

• AI-written resumes are making it harder for recruiters to identify real people

• Recruiting still requires “a human talking to another human” to assess fit

• Extroverts naturally connect faster in interviews, but introverts can become strong leaders too

• Jim believes leadership development should include introverts, ambiverts, and frontline workers

• Burnout happens when people stop investing in themselves outside of work

• His “PIES” framework focuses on Physical, Intellectual, Emotional, and Spiritual recharge

• “Positive selfishness” means protecting your own energy before burnout makes you useless to everyone else


Guest : Jim Giovannini | Elevated Minds

CEO of Elevated Minds helping organizations rethink leadership development through human connection, experiential learning, and workforce coaching.

LinkedIN : https://www.linkedin.com/in/james-d-giovannini-841a7010/


Connect with Us :

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined :

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/

]]> 713 no Every Resume Looks Perfect Now. That’s the Problem Every Resume Looks the Same Now. That’s the real hiring crisis. Not talent shortages. Not AI. Just recruiters drowning in identical applications while trying to make million-dollar hiring decisions with gut instinct and keyword matching. Hiring got noisy fast. AI-generated resumes. Mass applications. Skills inflation. Taylor Genderon breaks down why recruiting teams are losing signal at the top of the funnel and why objective talent data matters more than ever. Talent assessments, AI screening, hiring quality, retention, recruiting efficiency. This conversation cuts straight through the hype. In this episode, Taylor explains why recruiting is collapsing under application volume, where AI actually helps hiring teams, and why human judgment still matters. Sharp discussion on assessments, objective hiring data, turnover reduction, recruiting bottlenecks, and the danger of treating AI like a silver bullet. Key Takeaways : • Mass applications are overwhelming recruiting teams at the top of the funnel • Taylor says “every resume looks the same” is becoming the new hiring reality • Most hiring decisions still rely too heavily on subjective judgment • Keywords, college names, and job titles are weak proxies for actual capability • A strong individual contributor does not automatically become a strong manager • AI can dramatically reduce manual screening work for recruiters • The market is becoming saturated with AI hiring tools very quickly • Taylor warns that AI is not a silver bullet for talent decisions • Human oversight still matters when screening and evaluating candidates • Faster hiring means nothing if retention collapses after onboarding • Recruiters are being forced to balance speed, quality, and efficiency simultaneously • Taylor’s reset strategy for burnout is simple: get off screens, go outside, and talk to real people Guest : Taylor Gendron | Testlify Head of Enterprise Sales at Testlify helping companies use skills and talent assessments to cut through hiring noise and make better recruiting decisions. LinkedIN : https://www.linkedin.com/in/taylor-gendron-0ab954114/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:51:00 -0000 full WRKdefined Podcast Network Every Resume Looks the Same Now. That’s the real hiring crisis. Not talent shortages. Not AI. Just recruiters drowning in identical applications while trying to make million-dollar hiring decisions with gut instinct and keyword matching. Hiring got noisy fast. AI-generated resumes. Mass applications. Skills inflation. Taylor Genderon breaks down why recruiting teams are losing signal at the top of the funnel and why objective talent data matters more than ever. Talent assessments, AI screening, hiring quality, retention, recruiting efficiency. This conversation cuts straight through the hype. In this episode, Taylor explains why recruiting is collapsing under application volume, where AI actually helps hiring teams, and why human judgment still matters. Sharp discussion on assessments, objective hiring data, turnover reduction, recruiting bottlenecks, and the danger of treating AI like a silver bullet. Key Takeaways : • Mass applications are overwhelming recruiting teams at the top of the funnel • Taylor says “every resume looks the same” is becoming the new hiring reality • Most hiring decisions still rely too heavily on subjective judgment • Keywords, college names, and job titles are weak proxies for actual capability • A strong individual contributor does not automatically become a strong manager • AI can dramatically reduce manual screening work for recruiters • The market is becoming saturated with AI hiring tools very quickly • Taylor warns that AI is not a silver bullet for talent decisions • Human oversight still matters when screening and evaluating candidates • Faster hiring means nothing if retention collapses after onboarding • Recruiters are being forced to balance speed, quality, and efficiency simultaneously • Taylor’s reset strategy for burnout is simple: get off screens, go outside, and talk to real people Guest : Taylor Gendron | Testlify Head of Enterprise Sales at Testlify helping companies use skills and talent assessments to cut through hiring noise and make better recruiting decisions. LinkedIN : https://www.linkedin.com/in/taylor-gendron-0ab954114/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Every Resume Looks the Same Now. That’s the real hiring crisis. Not talent shortages. Not AI. Just recruiters drowning in identical applications while trying to make million-dollar hiring decisions with gut instinct and keyword matching. Hiring got noisy fast. AI-generated resumes. Mass applications. Skills inflation. Taylor Genderon breaks down why recruiting teams are losing signal at the top of the funnel and why objective talent data matters more than ever. Talent assessments, AI screening, hiring quality, retention, recruiting efficiency. This conversation cuts straight through the hype. In this episode, Taylor explains why recruiting is collapsing under application volume, where AI actually helps hiring teams, and why human judgment still matters. Sharp discussion on assessments, objective hiring data, turnover reduction, recruiting bottlenecks, and the danger of treating AI like a silver bullet. Key Takeaways : • Mass applications are overwhelming recruiting teams at the top of the funnel • Taylor says “every resume looks the same” is becoming the new hiring reality • Most hiring decisions still rely too heavily on subjective judgment • Keywords, college names, and job titles are weak proxies for actual capability • A strong individual contributor does not automatically become a strong manager • AI can dramatically reduce manual screening work for recruiters • The market is becoming saturated with AI hiring tools very quickly • Taylor warns that AI is not a silver bullet for talent decisions • Human oversight still matters when screening and evaluating candidates • Faster hiring means nothing if retention collapses after onboarding • Recruiters are being forced to balance speed, quality, and efficiency simultaneously • Taylor’s reset strategy for burnout is simple: get off screens, go outside, and talk to real people Guest : Taylor Gendron | Testlify Head of Enterprise Sales at Testlify helping companies use skills and talent assessments to cut through hiring noise and make better recruiting decisions. LinkedIN : https://www.linkedin.com/in/taylor-gendron-0ab954114/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

]]> 370 no Discipline Beats Motivation Every Time Most people wait to “feel ready.” That’s why they stay stuck. Jaylin Williams breaks down why discipline wins, why leaders are built through routine, and why relocation is way more personal than companies think. One bad relocation can wreck a family’s rhythm. One honest coach can change a career. That’s the thread through this conversation: people don’t need hype. They need structure, honesty, and leaders who actually understand what’s at stake. Relocation, leadership, HR, coaching, return-to-office, discipline. It’s all connected. In this episode, Jaylin shares what D1 football taught him about leadership, why honesty matters more than motivation, and how companies still underestimate the human side of relocation. Sharp conversation on coaching styles, routines, HR leadership, and what employees actually carry when they move. Key Takeaways : • Motivation fades. Discipline doesn’t • Jaylen says routine is what keeps performance steady when energy drops • Most companies still treat relocation like “moving boxes” instead of moving lives • Return-to-office mandates are accelerating relocation pressure across major employers • Relocation impacts spouses, kids, pets, schools, churches, and mental stability • Honest feedback mattered more to Jaylin than positive reinforcement • “Just give it to me straight” was his approach to coaching and leadership • D1 athlete mentality showed up fast: trust the process, focus on repetition • Leadership isn’t born. It’s built through habits and consistency • Conference booth engagement exploded with simple human interaction, not polished pitches • Different people need different coaching styles. Great leaders know the difference • Heart over hype still wins in leadership and sales Guest : Jaylin Williams Program Consultant at PerchPeek helping companies rethink relocation through a people-first lens, not just logistics. Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:49:00 -0000 full WRKdefined Podcast Network Most people wait to “feel ready.” That’s why they stay stuck. Jaylin Williams breaks down why discipline wins, why leaders are built through routine, and why relocation is way more personal than companies think. One bad relocation can wreck a family’s rhythm. One honest coach can change a career. That’s the thread through this conversation: people don’t need hype. They need structure, honesty, and leaders who actually understand what’s at stake. Relocation, leadership, HR, coaching, return-to-office, discipline. It’s all connected. In this episode, Jaylin shares what D1 football taught him about leadership, why honesty matters more than motivation, and how companies still underestimate the human side of relocation. Sharp conversation on coaching styles, routines, HR leadership, and what employees actually carry when they move. Key Takeaways : • Motivation fades. Discipline doesn’t • Jaylen says routine is what keeps performance steady when energy drops • Most companies still treat relocation like “moving boxes” instead of moving lives • Return-to-office mandates are accelerating relocation pressure across major employers • Relocation impacts spouses, kids, pets, schools, churches, and mental stability • Honest feedback mattered more to Jaylin than positive reinforcement • “Just give it to me straight” was his approach to coaching and leadership • D1 athlete mentality showed up fast: trust the process, focus on repetition • Leadership isn’t born. It’s built through habits and consistency • Conference booth engagement exploded with simple human interaction, not polished pitches • Different people need different coaching styles. Great leaders know the difference • Heart over hype still wins in leadership and sales Guest : Jaylin Williams Program Consultant at PerchPeek helping companies rethink relocation through a people-first lens, not just logistics. Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most people wait to “feel ready.” That’s why they stay stuck. Jaylin Williams breaks down why discipline wins, why leaders are built through routine, and why relocation is way more personal than companies think. One bad relocation can wreck a family’s rhythm. One honest coach can change a career. That’s the thread through this conversation: people don’t need hype. They need structure, honesty, and leaders who actually understand what’s at stake. Relocation, leadership, HR, coaching, return-to-office, discipline. It’s all connected. In this episode, Jaylin shares what D1 football taught him about leadership, why honesty matters more than motivation, and how companies still underestimate the human side of relocation. Sharp conversation on coaching styles, routines, HR leadership, and what employees actually carry when they move. Key Takeaways : • Motivation fades. Discipline doesn’t • Jaylen says routine is what keeps performance steady when energy drops • Most companies still treat relocation like “moving boxes” instead of moving lives • Return-to-office mandates are accelerating relocation pressure across major employers • Relocation impacts spouses, kids, pets, schools, churches, and mental stability • Honest feedback mattered more to Jaylin than positive reinforcement • “Just give it to me straight” was his approach to coaching and leadership • D1 athlete mentality showed up fast: trust the process, focus on repetition • Leadership isn’t born. It’s built through habits and consistency • Conference booth engagement exploded with simple human interaction, not polished pitches • Different people need different coaching styles. Great leaders know the difference • Heart over hype still wins in leadership and sales Guest : Jaylin Williams Program Consultant at PerchPeek helping companies rethink relocation through a people-first lens, not just logistics. Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

]]> 575 no Nobody’s Applying? You’re Probably Ghosting Talent The hiring market isn’t broken. Communication is. Pete Schramm breaks down why candidates disappear, why recruiters lose trust fast, and how most companies still make hiring way harder than it needs to be. Most hiring problems are self-inflicted. Candidates apply to 200 jobs and hear back from almost nobody. Recruiters lose attention in minutes. Vendors all look the same. Pete cuts through the noise on talent management, candidate experience, AI, recruiting communication, employer branding, and why “being memorable” actually matters now. In this episode… we get real about ghosting candidates, broken recruiting processes, AI changing the game, and why most companies still fail basic communication. They also unpack candidate assessments, employer trust, vendor sameness, and the brutal reality of attention spans in hiring today. Key Takeaways : Pete applied to nearly 200 jobs in college and barely heard back from a handful of employers. There are companies in Pittsburgh alone with 1,000+ open jobs, yet candidates still think nobody is hiring. Most “talent management” today still feels transactional instead of human. Candidates abandon recruiting funnels fast if companies don’t respond quickly. AI is letting companies do “more with less,” but it’s also accelerating competition. Recruiters lose trust when they ask candidates to complete assessments with zero context. Giving candidates visibility into the hiring process is basic respect, not innovation. Younger candidates move on in minutes if you miss their attention window. Most HR vendors blend together because everybody markets the same safe message. “Be memorable” was a recurring theme. Pete argues companies must actually take risks to stand out. Software sales still comes down to one thing: people buy from people they like. Guest : Pete Schramm Founder of Lattitude and a workforce strategist focused on connecting people to meaningful work, better hiring communication, and long-term career growth. LinkedIn: https://www.linkedin.com/in/pete-schramm/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:46:00 -0000 full WRKdefined Podcast Network The hiring market isn’t broken. Communication is. Pete Schramm breaks down why candidates disappear, why recruiters lose trust fast, and how most companies still make hiring way harder than it needs to be. Most hiring problems are self-inflicted. Candidates apply to 200 jobs and hear back from almost nobody. Recruiters lose attention in minutes. Vendors all look the same. Pete cuts through the noise on talent management, candidate experience, AI, recruiting communication, employer branding, and why “being memorable” actually matters now. In this episode… we get real about ghosting candidates, broken recruiting processes, AI changing the game, and why most companies still fail basic communication. They also unpack candidate assessments, employer trust, vendor sameness, and the brutal reality of attention spans in hiring today. Key Takeaways : Pete applied to nearly 200 jobs in college and barely heard back from a handful of employers. There are companies in Pittsburgh alone with 1,000+ open jobs, yet candidates still think nobody is hiring. Most “talent management” today still feels transactional instead of human. Candidates abandon recruiting funnels fast if companies don’t respond quickly. AI is letting companies do “more with less,” but it’s also accelerating competition. Recruiters lose trust when they ask candidates to complete assessments with zero context. Giving candidates visibility into the hiring process is basic respect, not innovation. Younger candidates move on in minutes if you miss their attention window. Most HR vendors blend together because everybody markets the same safe message. “Be memorable” was a recurring theme. Pete argues companies must actually take risks to stand out. Software sales still comes down to one thing: people buy from people they like. Guest : Pete Schramm Founder of Lattitude and a workforce strategist focused on connecting people to meaningful work, better hiring communication, and long-term career growth. LinkedIn: https://www.linkedin.com/in/pete-schramm/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ The hiring market isn’t broken. Communication is. Pete Schramm breaks down why candidates disappear, why recruiters lose trust fast, and how most companies still make hiring way harder than it needs to be.

Most hiring problems are self-inflicted. Candidates apply to 200 jobs and hear back from almost nobody. Recruiters lose attention in minutes. Vendors all look the same. Pete cuts through the noise on talent management, candidate experience, AI, recruiting communication, employer branding, and why “being memorable” actually matters now.

In this episode… we get real about ghosting candidates, broken recruiting processes, AI changing the game, and why most companies still fail basic communication. They also unpack candidate assessments, employer trust, vendor sameness, and the brutal reality of attention spans in hiring today.

Key Takeaways :

Pete applied to nearly 200 jobs in college and barely heard back from a handful of employers.

There are companies in Pittsburgh alone with 1,000+ open jobs, yet candidates still think nobody is hiring.

Most “talent management” today still feels transactional instead of human.

Candidates abandon recruiting funnels fast if companies don’t respond quickly.

AI is letting companies do “more with less,” but it’s also accelerating competition.

Recruiters lose trust when they ask candidates to complete assessments with zero context.

Giving candidates visibility into the hiring process is basic respect, not innovation.

Younger candidates move on in minutes if you miss their attention window.

Most HR vendors blend together because everybody markets the same safe message.

“Be memorable” was a recurring theme. Pete argues companies must actually take risks to stand out.

Software sales still comes down to one thing: people buy from people they like.


Guest : Pete Schramm

Founder of Lattitude and a workforce strategist focused on connecting people to meaningful work, better hiring communication, and long-term career growth.

LinkedIn: https://www.linkedin.com/in/pete-schramm/

Connect with Us :

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined :

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/

]]> 787 no AI Won’t Save Your Hiring Process. Your Data Might. Most companies still hire like it’s 2014. Gut feel. Broken systems. Hope. Lindsey Zai from Dayforce breaks down why recruiting is shifting from guesswork to real-time talent intelligence and why bad payroll kills trust faster than bad leadership. Hiring. AI. Talent management. Predictive analytics. Payroll compliance. In this episode, Lindsey explains how AI is actually helping HR teams move faster, hire smarter, and stop drowning in manual work. She also gets brutally honest about recruiting blind spots, broken HR tech stacks, and why payroll accuracy is still the ultimate trust test. Key Takeaways : * Most companies still struggle to connect source of hire with quality of hire * AI in HR works best with a “crawl, walk, run” approach instead of forcing instant adoption * Lindsey Zai has spent more than 10 years in the HCM and HR tech space * Real-time workforce data is becoming the backbone of predictive hiring * Dayforce uses a single line of code instead of patched-together acquisitions and integrations * Payroll mistakes damage employee trust faster than almost any other HR failure * Dayforce has been recognized by Gartner for compliance leadership 6 years in a row * Recruiting today is just as much about retention as it is about hiring speed * Broken integrations between HR systems create massive compliance and reporting risks * AI is helping HR teams spend less time on manual admin work and more time on strategic priorities * Flexible recruiting strategies outperform rigid hiring processes in fast-moving markets * William Tincup highlights a modern workplace reality: people are trying to work, parent, and stay present all at once Guest : Lindsey Zai Account Executive at Dayforce 10+ years in HCM and HR tech. Deep in the trenches of recruiting, payroll, compliance, and workforce analytics. LinkedIn: https://www.linkedin.com/in/lindsey-zai-2650245/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 13:44:00 -0000 full WRKdefined Podcast Network Most companies still hire like it’s 2014. Gut feel. Broken systems. Hope. Lindsey Zai from Dayforce breaks down why recruiting is shifting from guesswork to real-time talent intelligence and why bad payroll kills trust faster than bad leadership. Hiring. AI. Talent management. Predictive analytics. Payroll compliance. In this episode, Lindsey explains how AI is actually helping HR teams move faster, hire smarter, and stop drowning in manual work. She also gets brutally honest about recruiting blind spots, broken HR tech stacks, and why payroll accuracy is still the ultimate trust test. Key Takeaways : * Most companies still struggle to connect source of hire with quality of hire * AI in HR works best with a “crawl, walk, run” approach instead of forcing instant adoption * Lindsey Zai has spent more than 10 years in the HCM and HR tech space * Real-time workforce data is becoming the backbone of predictive hiring * Dayforce uses a single line of code instead of patched-together acquisitions and integrations * Payroll mistakes damage employee trust faster than almost any other HR failure * Dayforce has been recognized by Gartner for compliance leadership 6 years in a row * Recruiting today is just as much about retention as it is about hiring speed * Broken integrations between HR systems create massive compliance and reporting risks * AI is helping HR teams spend less time on manual admin work and more time on strategic priorities * Flexible recruiting strategies outperform rigid hiring processes in fast-moving markets * William Tincup highlights a modern workplace reality: people are trying to work, parent, and stay present all at once Guest : Lindsey Zai Account Executive at Dayforce 10+ years in HCM and HR tech. Deep in the trenches of recruiting, payroll, compliance, and workforce analytics. LinkedIn: https://www.linkedin.com/in/lindsey-zai-2650245/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most companies still hire like it’s 2014. Gut feel. Broken systems. Hope. Lindsey Zai from Dayforce breaks down why recruiting is shifting from guesswork to real-time talent intelligence and why bad payroll kills trust faster than bad leadership. Hiring. AI. Talent management. Predictive analytics. Payroll compliance. In this episode, Lindsey explains how AI is actually helping HR teams move faster, hire smarter, and stop drowning in manual work. She also gets brutally honest about recruiting blind spots, broken HR tech stacks, and why payroll accuracy is still the ultimate trust test. Key Takeaways : * Most companies still struggle to connect source of hire with quality of hire * AI in HR works best with a “crawl, walk, run” approach instead of forcing instant adoption * Lindsey Zai has spent more than 10 years in the HCM and HR tech space * Real-time workforce data is becoming the backbone of predictive hiring * Dayforce uses a single line of code instead of patched-together acquisitions and integrations * Payroll mistakes damage employee trust faster than almost any other HR failure * Dayforce has been recognized by Gartner for compliance leadership 6 years in a row * Recruiting today is just as much about retention as it is about hiring speed * Broken integrations between HR systems create massive compliance and reporting risks * AI is helping HR teams spend less time on manual admin work and more time on strategic priorities * Flexible recruiting strategies outperform rigid hiring processes in fast-moving markets * William Tincup highlights a modern workplace reality: people are trying to work, parent, and stay present all at once Guest : Lindsey Zai Account Executive at Dayforce 10+ years in HCM and HR tech. Deep in the trenches of recruiting, payroll, compliance, and workforce analytics. LinkedIn: https://www.linkedin.com/in/lindsey-zai-2650245/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

]]> 520 no Healthcare AI Recruiting Adoption Learn how healthcare organizations are using AI agents to automate recruiting, improve candidate communication, reduce hiring delays, and fill high-cost vacancies faster. This conversation explores why healthcare has become one of the fastest adopters of AI recruiting technology, how candidates are responding to AI-driven hiring experiences, what buyers should evaluate when selecting recruiting software, and why specialized AI tools may outperform broad horizontal platforms in healthcare hiring. Key Takeaways Healthcare recruiting has become a high-cost staffing problem driven by turnover and vacancy rates. Many healthcare systems are adopting AI faster because hiring delays directly impact patient care and operations. AI recruiting agents can automate repetitive recruiting tasks while allowing recruiters to focus on relationship building. Candidates are often more comfortable engaging with AI interviews because they can control the timing and environment. Most job applicants still receive little or no communication during the hiring process. Healthcare organizations are prioritizing candidate engagement and faster response times. Enterprise security, compliance, and AI labor law readiness are now baseline requirements for recruiting vendors. Healthcare-specific recruiting platforms may deliver stronger hiring outcomes than broad multi-industry solutions. Companies are shifting from AI evaluation mode into active implementation and adoption. Social proof and proven success with similar organizations are accelerating AI purchasing decisions. Timestamps 00:00 – Why healthcare recruiting costs are rising 01:12 – Building AI agents for healthcare hiring 02:26 – How AI adoption is changing recruiting teams\ 03:21 – Candidate trust in AI interviews 04:05 – Why applicants feel ignored during hiring 05:06 – Real-world example of delayed hiring response 06:19 – Balancing AI automation with human recruiters 07:16 – What buyers should evaluate in AI vendors 09:19 – Specialized AI versus broad recruiting platforms 11:13 – How enterprise AI adoption is accelerating Keywords Healthcare recruiting AI recruiting agents Candidate experience Healthcare hiring Recruiting automation Agentic AI Talent acquisition technology AI hiring software Healthcare staffing shortages Recruiting compliance Mon, 01 Jun 2026 13:42:00 -0000 Healthcare Hiring With AI Agents full WRKdefined Podcast Network AI Recruiting For Healthcare Teams Learn how healthcare organizations are using AI agents to automate recruiting, improve candidate communication, reduce hiring delays, and fill high-cost vacancies faster. This conversation explores why healthcare has become one of the fastest adopters of AI recruiting technology, how candidates are responding to AI-driven hiring experiences, what buyers should evaluate when selecting recruiting software, and why specialized AI tools may outperform broad horizontal platforms in healthcare hiring. Key Takeaways Healthcare recruiting has become a high-cost staffing problem driven by turnover and vacancy rates. Many healthcare systems are adopting AI faster because hiring delays directly impact patient care and operations. AI recruiting agents can automate repetitive recruiting tasks while allowing recruiters to focus on relationship building. Candidates are often more comfortable engaging with AI interviews because they can control the timing and environment. Most job applicants still receive little or no communication during the hiring process. Healthcare organizations are prioritizing candidate engagement and faster response times. Enterprise security, compliance, and AI labor law readiness are now baseline requirements for recruiting vendors. Healthcare-specific recruiting platforms may deliver stronger hiring outcomes than broad multi-industry solutions. Companies are shifting from AI evaluation mode into active implementation and adoption. Social proof and proven success with similar organizations are accelerating AI purchasing decisions. Timestamps 00:00 – Why healthcare recruiting costs are rising 01:12 – Building AI agents for healthcare hiring 02:26 – How AI adoption is changing recruiting teams\ 03:21 – Candidate trust in AI interviews 04:05 – Why applicants feel ignored during hiring 05:06 – Real-world example of delayed hiring response 06:19 – Balancing AI automation with human recruiters 07:16 – What buyers should evaluate in AI vendors 09:19 – Specialized AI versus broad recruiting platforms 11:13 – How enterprise AI adoption is accelerating Keywords Healthcare recruiting AI recruiting agents Candidate experience Healthcare hiring Recruiting automation Agentic AI Talent acquisition technology AI hiring software Healthcare staffing shortages Recruiting compliance Learn how healthcare organizations are using AI agents to automate recruiting, improve candidate communication, reduce hiring delays, and fill high-cost vacancies faster. This conversation explores why healthcare has become one of the fastest adopters of AI recruiting technology, how candidates are responding to AI-driven hiring experiences, what buyers should evaluate when selecting recruiting software, and why specialized AI tools may outperform broad horizontal platforms in healthcare hiring.


Key Takeaways

  • Healthcare recruiting has become a high-cost staffing problem driven by turnover and vacancy rates.
  • Many healthcare systems are adopting AI faster because hiring delays directly impact patient care and operations.
  • AI recruiting agents can automate repetitive recruiting tasks while allowing recruiters to focus on relationship building.
  • Candidates are often more comfortable engaging with AI interviews because they can control the timing and environment.
  • Most job applicants still receive little or no communication during the hiring process.
  • Healthcare organizations are prioritizing candidate engagement and faster response times.
  • Enterprise security, compliance, and AI labor law readiness are now baseline requirements for recruiting vendors.
  • Healthcare-specific recruiting platforms may deliver stronger hiring outcomes than broad multi-industry solutions.
  • Companies are shifting from AI evaluation mode into active implementation and adoption.
  • Social proof and proven success with similar organizations are accelerating AI purchasing decisions.

Timestamps

  • 00:00 – Why healthcare recruiting costs are rising
  • 01:12 – Building AI agents for healthcare hiring
  • 02:26 – How AI adoption is changing recruiting teams\
  • 03:21 – Candidate trust in AI interviews
  • 04:05 – Why applicants feel ignored during hiring
  • 05:06 – Real-world example of delayed hiring response
  • 06:19 – Balancing AI automation with human recruiters
  • 07:16 – What buyers should evaluate in AI vendors
  • 09:19 – Specialized AI versus broad recruiting platforms
  • 11:13 – How enterprise AI adoption is accelerating

Keywords

  • Healthcare recruiting
  • AI recruiting agents
  • Candidate experience
  • Healthcare hiring
  • Recruiting automation
  • Agentic AI
  • Talent acquisition technology
  • AI hiring software
  • Healthcare staffing shortages
  • Recruiting compliance
]]> 906 Corporate Training Is Still Teaching People the Wrong Way Most workplace learning is built around convenience, not science. Three-hour presentations. Endless slides. Mandatory training sessions nobody remembers. Marcy Baughman explains why education research has known for decades that these methods don't work and why companies keep using them anyway. The future of learning looks a lot more like practice than presentation. Learning science, workforce development, experiential learning, AI training, employee development, leadership. This conversation explores how companies can finally close the gap between learning and performance. In this episode… Marcy Baughman shares why experiential learning consistently outperforms lecture-based training, how AI and VR are transforming workforce development, and why organizations should hire for human skills and train for technical skills. Sharp discussion on learning science, employee growth, AI adoption, and the future of workplace learning. Key Takeaways : • Most corporate learning programs still rely on lecture-style training despite research showing it is one of the least effective ways to learn • Marcy says good learning techniques work across both education and workforce environments • Experiential learning remains one of the most effective learning methods available • Employees learn faster when they can practice skills in realistic, low-risk environments • Safe environments where learners can fail without consequences lead to stronger skill development • Corrective feedback is a critical part of how people actually learn and improve • Many organizations still fail to apply decades of learning science research to employee development • AI can now create realistic simulations and practice environments at scale • VR technology makes immersive learning experiences more accessible than ever before • Large language models allow learners to repeat scenarios until they build confidence and mastery • Companies increasingly hire for collaboration, communication, and adaptability while training technical skills later • The rise of AI is shifting work from doing tasks to managing systems, processes, and intelligent agents • Marcy recommends starting AI adoption with a simple exercise: review AI-generated output and decide whether you trust it • Building confidence with AI starts by recognizing its mistakes before relying on its strengths Guest : Marcy Baughman  Vice President of Learning Science & Research at Macmillan Learning, helping organizations apply proven learning science, research, and emerging technologies to improve education and workforce development outcomes. LinkedIN : https://www.linkedin.com/in/marcy-baughman-b1386810/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 12:15:00 -0000 full WRKdefined Podcast Network Most workplace learning is built around convenience, not science. Three-hour presentations. Endless slides. Mandatory training sessions nobody remembers. Marcy Baughman explains why education research has known for decades that these methods don't work and why companies keep using them anyway. The future of learning looks a lot more like practice than presentation. Learning science, workforce development, experiential learning, AI training, employee development, leadership. This conversation explores how companies can finally close the gap between learning and performance. In this episode… Marcy Baughman shares why experiential learning consistently outperforms lecture-based training, how AI and VR are transforming workforce development, and why organizations should hire for human skills and train for technical skills. Sharp discussion on learning science, employee growth, AI adoption, and the future of workplace learning. Key Takeaways : • Most corporate learning programs still rely on lecture-style training despite research showing it is one of the least effective ways to learn • Marcy says good learning techniques work across both education and workforce environments • Experiential learning remains one of the most effective learning methods available • Employees learn faster when they can practice skills in realistic, low-risk environments • Safe environments where learners can fail without consequences lead to stronger skill development • Corrective feedback is a critical part of how people actually learn and improve • Many organizations still fail to apply decades of learning science research to employee development • AI can now create realistic simulations and practice environments at scale • VR technology makes immersive learning experiences more accessible than ever before • Large language models allow learners to repeat scenarios until they build confidence and mastery • Companies increasingly hire for collaboration, communication, and adaptability while training technical skills later • The rise of AI is shifting work from doing tasks to managing systems, processes, and intelligent agents • Marcy recommends starting AI adoption with a simple exercise: review AI-generated output and decide whether you trust it • Building confidence with AI starts by recognizing its mistakes before relying on its strengths Guest : Marcy Baughman  Vice President of Learning Science & Research at Macmillan Learning, helping organizations apply proven learning science, research, and emerging technologies to improve education and workforce development outcomes. LinkedIN : https://www.linkedin.com/in/marcy-baughman-b1386810/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most workplace learning is built around convenience, not science. Three-hour presentations. Endless slides. Mandatory training sessions nobody remembers. Marcy Baughman explains why education research has known for decades that these methods don't work and why companies keep using them anyway.

The future of learning looks a lot more like practice than presentation. Learning science, workforce development, experiential learning, AI training, employee development, leadership. This conversation explores how companies can finally close the gap between learning and performance.

In this episode… Marcy Baughman shares why experiential learning consistently outperforms lecture-based training, how AI and VR are transforming workforce development, and why organizations should hire for human skills and train for technical skills. Sharp discussion on learning science, employee growth, AI adoption, and the future of workplace learning.


Key Takeaways :

• Most corporate learning programs still rely on lecture-style training despite research showing it is one of the least effective ways to learn

• Marcy says good learning techniques work across both education and workforce environments

• Experiential learning remains one of the most effective learning methods available

• Employees learn faster when they can practice skills in realistic, low-risk environments

• Safe environments where learners can fail without consequences lead to stronger skill development

• Corrective feedback is a critical part of how people actually learn and improve

• Many organizations still fail to apply decades of learning science research to employee development

• AI can now create realistic simulations and practice environments at scale

• VR technology makes immersive learning experiences more accessible than ever before

• Large language models allow learners to repeat scenarios until they build confidence and mastery

• Companies increasingly hire for collaboration, communication, and adaptability while training technical skills later

• The rise of AI is shifting work from doing tasks to managing systems, processes, and intelligent agents

• Marcy recommends starting AI adoption with a simple exercise: review AI-generated output and decide whether you trust it

• Building confidence with AI starts by recognizing its mistakes before relying on its strengths


Guest : Marcy Baughman 

Vice President of Learning Science & Research at Macmillan Learning, helping organizations apply proven learning science, research, and emerging technologies to improve education and workforce development outcomes.

LinkedIN : https://www.linkedin.com/in/marcy-baughman-b1386810/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 564 no The Best Recruiters Don’t Fill Jobs. They Solve Business Problems The best recruiting teams don’t fill jobs faster. They help businesses make better decisions. Paul Norman explains why too many recruiters are still measured by recruiting metrics while business leaders care about entirely different outcomes. That disconnect is costing companies more than they realize. Talent acquisition, business alignment, workforce planning, AI adoption, talent management, recruiting strategy. This conversation gets into the gap between what recruiting tracks and what businesses actually value. In this episode, Paul Norman breaks down why recruiters need to become consultants instead of order takers, why traditional recruiting metrics often miss the point, and how AI conversations are shifting from curiosity to business value. Sharp discussion on TA leadership, hiring strategy, workforce optimization, and the future of recruiting operations. Key Takeaways :  • Paul says the biggest recruiting challenge today is getting recruiters to operate as business advisors • The strongest TA teams act as consultants, not order takers • Business knowledge remains one of the biggest differentiators between average and elite recruiters • Many recruiting teams still struggle to connect their work directly to business goals • Recruiters often build reports that make sense internally but mean little to business leaders • Paul argues CEOs do not care about time-to-fill the way recruiting teams do • In high-volume environments, percent staffed can matter more than time-to-fill • A five-day vacancy can still create significant business losses even if recruiting hits its targets • Talent management should cover the entire employee lifecycle, not just attraction and hiring • Modern talent optimization requires faster and more frequent adjustments than in the past • AI conversations have shifted dramatically over the last 12 months • CHROs and TA leaders are now under pressure to prove business value from AI investments • Recruiters are increasingly using AI for interview transcription, summaries, and workflow efficiency • Paul believes AI adoption is moving from experimentation toward measurable impact and accountability Guest : Paul Norman  Talent acquisition leader and consultant at Riviera Advisors helping organizations align recruiting strategy, workforce planning, and business outcomes to build stronger talent functions. LinkedIN : https://www.linkedin.com/in/pmnorman/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network The best recruiting teams don’t fill jobs faster. They help businesses make better decisions. Paul Norman explains why too many recruiters are still measured by recruiting metrics while business leaders care about entirely different outcomes. That disconnect is costing companies more than they realize. Talent acquisition, business alignment, workforce planning, AI adoption, talent management, recruiting strategy. This conversation gets into the gap between what recruiting tracks and what businesses actually value. In this episode, Paul Norman breaks down why recruiters need to become consultants instead of order takers, why traditional recruiting metrics often miss the point, and how AI conversations are shifting from curiosity to business value. Sharp discussion on TA leadership, hiring strategy, workforce optimization, and the future of recruiting operations. Key Takeaways :  • Paul says the biggest recruiting challenge today is getting recruiters to operate as business advisors • The strongest TA teams act as consultants, not order takers • Business knowledge remains one of the biggest differentiators between average and elite recruiters • Many recruiting teams still struggle to connect their work directly to business goals • Recruiters often build reports that make sense internally but mean little to business leaders • Paul argues CEOs do not care about time-to-fill the way recruiting teams do • In high-volume environments, percent staffed can matter more than time-to-fill • A five-day vacancy can still create significant business losses even if recruiting hits its targets • Talent management should cover the entire employee lifecycle, not just attraction and hiring • Modern talent optimization requires faster and more frequent adjustments than in the past • AI conversations have shifted dramatically over the last 12 months • CHROs and TA leaders are now under pressure to prove business value from AI investments • Recruiters are increasingly using AI for interview transcription, summaries, and workflow efficiency • Paul believes AI adoption is moving from experimentation toward measurable impact and accountability Guest : Paul Norman  Talent acquisition leader and consultant at Riviera Advisors helping organizations align recruiting strategy, workforce planning, and business outcomes to build stronger talent functions. LinkedIN : https://www.linkedin.com/in/pmnorman/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ The best recruiting teams don’t fill jobs faster. They help businesses make better decisions. Paul Norman explains why too many recruiters are still measured by recruiting metrics while business leaders care about entirely different outcomes.

That disconnect is costing companies more than they realize. Talent acquisition, business alignment, workforce planning, AI adoption, talent management, recruiting strategy. This conversation gets into the gap between what recruiting tracks and what businesses actually value.

In this episode, Paul Norman breaks down why recruiters need to become consultants instead of order takers, why traditional recruiting metrics often miss the point, and how AI conversations are shifting from curiosity to business value. Sharp discussion on TA leadership, hiring strategy, workforce optimization, and the future of recruiting operations.

Key Takeaways : 

• Paul says the biggest recruiting challenge today is getting recruiters to operate as business advisors

• The strongest TA teams act as consultants, not order takers

• Business knowledge remains one of the biggest differentiators between average and elite recruiters

• Many recruiting teams still struggle to connect their work directly to business goals

• Recruiters often build reports that make sense internally but mean little to business leaders

• Paul argues CEOs do not care about time-to-fill the way recruiting teams do

• In high-volume environments, percent staffed can matter more than time-to-fill

• A five-day vacancy can still create significant business losses even if recruiting hits its targets

• Talent management should cover the entire employee lifecycle, not just attraction and hiring

• Modern talent optimization requires faster and more frequent adjustments than in the past

• AI conversations have shifted dramatically over the last 12 months

• CHROs and TA leaders are now under pressure to prove business value from AI investments

• Recruiters are increasingly using AI for interview transcription, summaries, and workflow efficiency

• Paul believes AI adoption is moving from experimentation toward measurable impact and accountability


Guest : Paul Norman 

Talent acquisition leader and consultant at Riviera Advisors helping organizations align recruiting strategy, workforce planning, and business outcomes to build stronger talent functions.

LinkedIN : https://www.linkedin.com/in/pmnorman/


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 494 no Recruiters Don’t Have an Applicant Problem Anymore. They Have a Trust Problem The recruiting funnel is overflowing, but confidence is disappearing. Mike Peditto explains why recruiters are battling fraud candidates, AI-generated applications, and record inbound volume while trying to figure out who’s actually qualified and who’s just good at gaming the process. The best recruiters aren’t screening people out. They’re finding better ways to screen people in. Recruiting, AI adoption, candidate fraud, hiring quality, talent assessment, recruiter burnout. This conversation gets into the reality recruiters are facing right now. In this episode, Mike Peditto shares why inbound applications have become one of recruiting’s biggest headaches, why adaptability matters more than credentials, and why companies should slow down before blindly adopting every AI tool. Sharp discussion on hiring judgment, candidate evaluation, startup recruiting, and the growing trust gap in hiring. Key Takeaways :  • Mike says inbound applications and candidate fraud are recruiting’s biggest challenges right now • Recruiters want to trust candidates, but fake profiles and fraudulent applications are making that harder • He describes himself as a “screen in” recruiter rather than a “screen out” recruiter • Mike believes many great candidates are overlooked because resumes rarely tell the full story • Degree requirements have never been a major hiring factor in his startup recruiting experience • “Figure-out-ability” is one of the most important traits he looks for in candidates • Adaptability and comfort with ambiguity matter more than ever in modern work • Mike encourages candidates to help shape 30-60-90 day plans during interviews • He believes recruiting teams should evaluate how candidates think, not just what they’ve done • Mike is strongly pro-AI but believes most organizations are still talking about adoption more than actually using it • Companies are starting to ask whether AI is being implemented responsibly, not just quickly • He warns that many organizations are buying AI tools without fully understanding the risks • Mike stays connected to job seekers through TikTok Lives and direct conversations • Listening to candidates remains one of his biggest sources of recruiting insight and innovation Guest : Mike Peditto  Recruiting leader, creator of “The Realistic Recruiter,” and host of the podcast Is This Still a Good Time?, known for bringing an unfiltered view of modern recruiting, candidate experience, and hiring realities. LinkedIN : Linkedin.com/in/mpeditto Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Mon, 01 Jun 2026 12:00:00 -0000 full WRKdefined Podcast Network The recruiting funnel is overflowing, but confidence is disappearing. Mike Peditto explains why recruiters are battling fraud candidates, AI-generated applications, and record inbound volume while trying to figure out who’s actually qualified and who’s just good at gaming the process. The best recruiters aren’t screening people out. They’re finding better ways to screen people in. Recruiting, AI adoption, candidate fraud, hiring quality, talent assessment, recruiter burnout. This conversation gets into the reality recruiters are facing right now. In this episode, Mike Peditto shares why inbound applications have become one of recruiting’s biggest headaches, why adaptability matters more than credentials, and why companies should slow down before blindly adopting every AI tool. Sharp discussion on hiring judgment, candidate evaluation, startup recruiting, and the growing trust gap in hiring. Key Takeaways :  • Mike says inbound applications and candidate fraud are recruiting’s biggest challenges right now • Recruiters want to trust candidates, but fake profiles and fraudulent applications are making that harder • He describes himself as a “screen in” recruiter rather than a “screen out” recruiter • Mike believes many great candidates are overlooked because resumes rarely tell the full story • Degree requirements have never been a major hiring factor in his startup recruiting experience • “Figure-out-ability” is one of the most important traits he looks for in candidates • Adaptability and comfort with ambiguity matter more than ever in modern work • Mike encourages candidates to help shape 30-60-90 day plans during interviews • He believes recruiting teams should evaluate how candidates think, not just what they’ve done • Mike is strongly pro-AI but believes most organizations are still talking about adoption more than actually using it • Companies are starting to ask whether AI is being implemented responsibly, not just quickly • He warns that many organizations are buying AI tools without fully understanding the risks • Mike stays connected to job seekers through TikTok Lives and direct conversations • Listening to candidates remains one of his biggest sources of recruiting insight and innovation Guest : Mike Peditto  Recruiting leader, creator of “The Realistic Recruiter,” and host of the podcast Is This Still a Good Time?, known for bringing an unfiltered view of modern recruiting, candidate experience, and hiring realities. LinkedIN : Linkedin.com/in/mpeditto Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ The recruiting funnel is overflowing, but confidence is disappearing. Mike Peditto explains why recruiters are battling fraud candidates, AI-generated applications, and record inbound volume while trying to figure out who’s actually qualified and who’s just good at gaming the process.

The best recruiters aren’t screening people out. They’re finding better ways to screen people in. Recruiting, AI adoption, candidate fraud, hiring quality, talent assessment, recruiter burnout. This conversation gets into the reality recruiters are facing right now.

In this episode, Mike Peditto shares why inbound applications have become one of recruiting’s biggest headaches, why adaptability matters more than credentials, and why companies should slow down before blindly adopting every AI tool. Sharp discussion on hiring judgment, candidate evaluation, startup recruiting, and the growing trust gap in hiring.

Key Takeaways : 

• Mike says inbound applications and candidate fraud are recruiting’s biggest challenges right now

• Recruiters want to trust candidates, but fake profiles and fraudulent applications are making that harder

• He describes himself as a “screen in” recruiter rather than a “screen out” recruiter

• Mike believes many great candidates are overlooked because resumes rarely tell the full story

• Degree requirements have never been a major hiring factor in his startup recruiting experience

• “Figure-out-ability” is one of the most important traits he looks for in candidates

• Adaptability and comfort with ambiguity matter more than ever in modern work

• Mike encourages candidates to help shape 30-60-90 day plans during interviews

• He believes recruiting teams should evaluate how candidates think, not just what they’ve done

• Mike is strongly pro-AI but believes most organizations are still talking about adoption more than actually using it

• Companies are starting to ask whether AI is being implemented responsibly, not just quickly

• He warns that many organizations are buying AI tools without fully understanding the risks

• Mike stays connected to job seekers through TikTok Lives and direct conversations

• Listening to candidates remains one of his biggest sources of recruiting insight and innovation


Guest : Mike Peditto 

Recruiting leader, creator of “The Realistic Recruiter,” and host of the podcast Is This Still a Good Time?, known for bringing an unfiltered view of modern recruiting, candidate experience, and hiring realities.

LinkedIN : Linkedin.com/in/mpeditto


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/

WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 428 no Recruiting Has an Alignment Problem Nobody Wants to Admit Companies say there’s a talent shortage while millions of people are looking for work. Jim Stroud breaks down the disconnect sitting underneath modern hiring and why recruiting teams are struggling to match the right people to the right opportunities even with more technology than ever. Everybody’s obsessing over AI. Jim thinks the bigger workforce crisis is already here. Recruiting, AI adoption, aging workforce, skilled trades, talent alignment, future of work. This conversation goes way beyond the usual HR tech hype cycle. In this episode, Jim Stroud explains why recruiting feels broken right now, why AI adoption is still surprisingly low, and why the aging workforce may become the biggest labor crisis of the next decade. Sharp discussion on hiring alignment, blue-collar demand, economic shifts, recruiting strategy, and the changing value of degrees. Key Takeaways :  • Jim says the biggest recruiting challenge today is alignment, not talent scarcity • Companies are still hiring heavily while layoffs continue across multiple industries • AI adoption remains far lower than most people inside HR tech assume • Jim predicts a major economic divide between workers who learn AI and those who avoid it • He believes AI will reshape most white-collar work within the next 3–5 years • Jim says blue-collar and skilled trade workers may become the safest long-term career path • The aging workforce is his biggest concern for the future of work • Skilled trade shortages are already driving longer wait times and higher service costs • Jim argues there are not enough apprentices entering plumbing, HVAC, and trade industries • Universities may eventually shorten bachelor’s degrees from four years to three to stay competitive • Older vocational education models like auto tech and wood shop may return to schools • Jim recharges mentally by walking outdoors and disconnecting from screens • He believes nature helps reset attention and improve real-world awareness better than constant screen time • Recruiting alignment requires hiring managers, recruiters, and candidates to see the role the same way Guest : Jim Stroud  Head of Marketing Strategy and Industry Outreach at ProvenBase known for decades of recruiting innovation, sourcing strategy, and sharp analysis on the future of work and hiring technology. LinkedIN : https://LinkedIn.com/in/jimstroud Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 29 May 2026 12:07:00 -0000 full WRKdefined Podcast Network Companies say there’s a talent shortage while millions of people are looking for work. Jim Stroud breaks down the disconnect sitting underneath modern hiring and why recruiting teams are struggling to match the right people to the right opportunities even with more technology than ever. Everybody’s obsessing over AI. Jim thinks the bigger workforce crisis is already here. Recruiting, AI adoption, aging workforce, skilled trades, talent alignment, future of work. This conversation goes way beyond the usual HR tech hype cycle. In this episode, Jim Stroud explains why recruiting feels broken right now, why AI adoption is still surprisingly low, and why the aging workforce may become the biggest labor crisis of the next decade. Sharp discussion on hiring alignment, blue-collar demand, economic shifts, recruiting strategy, and the changing value of degrees. Key Takeaways :  • Jim says the biggest recruiting challenge today is alignment, not talent scarcity • Companies are still hiring heavily while layoffs continue across multiple industries • AI adoption remains far lower than most people inside HR tech assume • Jim predicts a major economic divide between workers who learn AI and those who avoid it • He believes AI will reshape most white-collar work within the next 3–5 years • Jim says blue-collar and skilled trade workers may become the safest long-term career path • The aging workforce is his biggest concern for the future of work • Skilled trade shortages are already driving longer wait times and higher service costs • Jim argues there are not enough apprentices entering plumbing, HVAC, and trade industries • Universities may eventually shorten bachelor’s degrees from four years to three to stay competitive • Older vocational education models like auto tech and wood shop may return to schools • Jim recharges mentally by walking outdoors and disconnecting from screens • He believes nature helps reset attention and improve real-world awareness better than constant screen time • Recruiting alignment requires hiring managers, recruiters, and candidates to see the role the same way Guest : Jim Stroud  Head of Marketing Strategy and Industry Outreach at ProvenBase known for decades of recruiting innovation, sourcing strategy, and sharp analysis on the future of work and hiring technology. LinkedIN : https://LinkedIn.com/in/jimstroud Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Companies say there’s a talent shortage while millions of people are looking for work. Jim Stroud breaks down the disconnect sitting underneath modern hiring and why recruiting teams are struggling to match the right people to the right opportunities even with more technology than ever.

Everybody’s obsessing over AI. Jim thinks the bigger workforce crisis is already here. Recruiting, AI adoption, aging workforce, skilled trades, talent alignment, future of work. This conversation goes way beyond the usual HR tech hype cycle.

In this episode, Jim Stroud explains why recruiting feels broken right now, why AI adoption is still surprisingly low, and why the aging workforce may become the biggest labor crisis of the next decade. Sharp discussion on hiring alignment, blue-collar demand, economic shifts, recruiting strategy, and the changing value of degrees.


Key Takeaways : 

• Jim says the biggest recruiting challenge today is alignment, not talent scarcity

• Companies are still hiring heavily while layoffs continue across multiple industries

• AI adoption remains far lower than most people inside HR tech assume

• Jim predicts a major economic divide between workers who learn AI and those who avoid it

• He believes AI will reshape most white-collar work within the next 3–5 years

• Jim says blue-collar and skilled trade workers may become the safest long-term career path

• The aging workforce is his biggest concern for the future of work

• Skilled trade shortages are already driving longer wait times and higher service costs

• Jim argues there are not enough apprentices entering plumbing, HVAC, and trade industries

• Universities may eventually shorten bachelor’s degrees from four years to three to stay competitive

• Older vocational education models like auto tech and wood shop may return to schools

• Jim recharges mentally by walking outdoors and disconnecting from screens

• He believes nature helps reset attention and improve real-world awareness better than constant screen time

• Recruiting alignment requires hiring managers, recruiters, and candidates to see the role the same way


Guest : Jim Stroud 

Head of Marketing Strategy and Industry Outreach at ProvenBase known for decades of recruiting innovation, sourcing strategy, and sharp analysis on the future of work and hiring technology.

LinkedIN : https://LinkedIn.com/in/jimstroud


Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 582 no Your Employees Have More Brand Power Than Your Marketing Team Most companies are still treating branding like a billboard problem while their employees are becoming media channels overnight. Roy Abdo explains why polished corporate messaging is losing to authentic storytelling and why executives who stay silent are getting outperformed by people with less expertise but more visibility. The real shift is simple: people trust people more than brands. Executive branding, storytelling, LinkedIn influence, employer brand, authentic content. This conversation breaks down why companies need creators inside the business, not just marketing campaigns outside it. In this episode, Roy Abdo shares how storytelling changed his life, why executives struggle with personal branding, and why authentic content consistently beats polished corporate messaging. Sharp discussion on executive influence, social media strategy, employer branding, imposter syndrome, and the future of employee-driven content. Key Takeaways : • Roy raised $35,000 for college in 2006 using a personal blog and PayPal storytelling campaign • His career started after escaping Lebanon during the outbreak of war and relocating to the U.S. • Roy says “people are the new channels” in modern branding • Most organizations still rely too heavily on company messaging instead of employee storytelling • Executives often lose online attention to less-qualified creators who publish consistently • Imposter syndrome is one of the biggest reasons executives avoid content creation • Roy argues authentic content outperforms polished production in most social campaigns • Face-driven ads consistently outperform generic brand assets in digital campaigns • Social media users want entertainment, education, and connection, not product pitches • LinkedIn remains the strongest platform for workplace and leadership positioning • Roy predicts every employee will eventually become a content creator for their company • Cisco reportedly trained 80,000 employees to become LinkedIn influencers • Roy says 100 employees posting once per month creates more brand reach than most corporate channels • Executive branding starts with having a strong point of view, not just posting content Guest : Roy Abdo CEO of Digital Revamp Communications helping organizations and executives build influence through storytelling, executive branding, and employee-driven content strategy. LinkedIN : https://www.linkedin.com/in/royabdo/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Fri, 29 May 2026 12:00:00 -0000 full WRKdefined Podcast Network Most companies are still treating branding like a billboard problem while their employees are becoming media channels overnight. Roy Abdo explains why polished corporate messaging is losing to authentic storytelling and why executives who stay silent are getting outperformed by people with less expertise but more visibility. The real shift is simple: people trust people more than brands. Executive branding, storytelling, LinkedIn influence, employer brand, authentic content. This conversation breaks down why companies need creators inside the business, not just marketing campaigns outside it. In this episode, Roy Abdo shares how storytelling changed his life, why executives struggle with personal branding, and why authentic content consistently beats polished corporate messaging. Sharp discussion on executive influence, social media strategy, employer branding, imposter syndrome, and the future of employee-driven content. Key Takeaways : • Roy raised $35,000 for college in 2006 using a personal blog and PayPal storytelling campaign • His career started after escaping Lebanon during the outbreak of war and relocating to the U.S. • Roy says “people are the new channels” in modern branding • Most organizations still rely too heavily on company messaging instead of employee storytelling • Executives often lose online attention to less-qualified creators who publish consistently • Imposter syndrome is one of the biggest reasons executives avoid content creation • Roy argues authentic content outperforms polished production in most social campaigns • Face-driven ads consistently outperform generic brand assets in digital campaigns • Social media users want entertainment, education, and connection, not product pitches • LinkedIn remains the strongest platform for workplace and leadership positioning • Roy predicts every employee will eventually become a content creator for their company • Cisco reportedly trained 80,000 employees to become LinkedIn influencers • Roy says 100 employees posting once per month creates more brand reach than most corporate channels • Executive branding starts with having a strong point of view, not just posting content Guest : Roy Abdo CEO of Digital Revamp Communications helping organizations and executives build influence through storytelling, executive branding, and employee-driven content strategy. LinkedIN : https://www.linkedin.com/in/royabdo/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Most companies are still treating branding like a billboard problem while their employees are becoming media channels overnight. Roy Abdo explains why polished corporate messaging is losing to authentic storytelling and why executives who stay silent are getting outperformed by people with less expertise but more visibility. The real shift is simple: people trust people more than brands. Executive branding, storytelling, LinkedIn influence, employer brand, authentic content. This conversation breaks down why companies need creators inside the business, not just marketing campaigns outside it. In this episode, Roy Abdo shares how storytelling changed his life, why executives struggle with personal branding, and why authentic content consistently beats polished corporate messaging. Sharp discussion on executive influence, social media strategy, employer branding, imposter syndrome, and the future of employee-driven content. Key Takeaways : • Roy raised $35,000 for college in 2006 using a personal blog and PayPal storytelling campaign • His career started after escaping Lebanon during the outbreak of war and relocating to the U.S. • Roy says “people are the new channels” in modern branding • Most organizations still rely too heavily on company messaging instead of employee storytelling • Executives often lose online attention to less-qualified creators who publish consistently • Imposter syndrome is one of the biggest reasons executives avoid content creation • Roy argues authentic content outperforms polished production in most social campaigns • Face-driven ads consistently outperform generic brand assets in digital campaigns • Social media users want entertainment, education, and connection, not product pitches • LinkedIn remains the strongest platform for workplace and leadership positioning • Roy predicts every employee will eventually become a content creator for their company • Cisco reportedly trained 80,000 employees to become LinkedIn influencers • Roy says 100 employees posting once per month creates more brand reach than most corporate channels • Executive branding starts with having a strong point of view, not just posting content Guest : Roy Abdo CEO of Digital Revamp Communications helping organizations and executives build influence through storytelling, executive branding, and employee-driven content strategy. LinkedIN : https://www.linkedin.com/in/royabdo/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

]]> 623 no AI Made Applying Easier. Recruiting Got Harder AI was supposed to fix recruiting. Instead, it made every resume look the same. That’s the mess recruiters are dealing with right now. More automation. More applications. More noise. And somehow less signal. The old recruiting playbook is breaking fast. In this episode, Robb Lifferth explains why AI is flooding recruiting with bad data, why job boards are losing value, and why recruiters now have to rethink how they source and evaluate talent. He also drops one of the best explanations of why recruiting still matters on a human level. Key Takeaways :  • AI has flattened resumes to the point where candidates increasingly look identical on paper • Recruiting teams are drowning in volume but struggling to identify real quality • Job boards are producing massive amounts of low-signal candidate data • The “post and pray” recruiting model is breaking down fast • Recruiters now need better data strategies, not just more AI tools • Companies are rapidly experimenting with new sourcing technologies because old systems are too slow • There is no one-size-fits-all recruiting solution because hiring needs vary wildly by industry and company stage • The best recruiters still win through human judgment, not automation alone • Recruiting remains deeply personal because jobs directly change people’s lives • AI adoption in recruiting is no longer optional, but lazy implementation is making hiring worse • The recruiting teams seeing results are the ones adapting workflows daily, not yearly Guest: Robb Lifferth Co-Founder at Isotalent Recruiting marketplace leader helping companies rethink sourcing and hiring in the AI era. LinkediN :  https://www.linkedin.com/in/robblifferth/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Wed, 27 May 2026 12:11:00 -0000 full WRKdefined Podcast Network AI was supposed to fix recruiting. Instead, it made every resume look the same. That’s the mess recruiters are dealing with right now. More automation. More applications. More noise. And somehow less signal. The old recruiting playbook is breaking fast. In this episode, Robb Lifferth explains why AI is flooding recruiting with bad data, why job boards are losing value, and why recruiters now have to rethink how they source and evaluate talent. He also drops one of the best explanations of why recruiting still matters on a human level. Key Takeaways :  • AI has flattened resumes to the point where candidates increasingly look identical on paper • Recruiting teams are drowning in volume but struggling to identify real quality • Job boards are producing massive amounts of low-signal candidate data • The “post and pray” recruiting model is breaking down fast • Recruiters now need better data strategies, not just more AI tools • Companies are rapidly experimenting with new sourcing technologies because old systems are too slow • There is no one-size-fits-all recruiting solution because hiring needs vary wildly by industry and company stage • The best recruiters still win through human judgment, not automation alone • Recruiting remains deeply personal because jobs directly change people’s lives • AI adoption in recruiting is no longer optional, but lazy implementation is making hiring worse • The recruiting teams seeing results are the ones adapting workflows daily, not yearly Guest: Robb Lifferth Co-Founder at Isotalent Recruiting marketplace leader helping companies rethink sourcing and hiring in the AI era. LinkediN :  https://www.linkedin.com/in/robblifferth/ Connect with Us :  William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined :  Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ AI was supposed to fix recruiting. Instead, it made every resume look the same.

That’s the mess recruiters are dealing with right now. More automation. More applications. More noise. And somehow less signal. The old recruiting playbook is breaking fast.

In this episode, Robb Lifferth explains why AI is flooding recruiting with bad data, why job boards are losing value, and why recruiters now have to rethink how they source and evaluate talent. He also drops one of the best explanations of why recruiting still matters on a human level.

Key Takeaways : 

• AI has flattened resumes to the point where candidates increasingly look identical on paper

• Recruiting teams are drowning in volume but struggling to identify real quality

• Job boards are producing massive amounts of low-signal candidate data

• The “post and pray” recruiting model is breaking down fast

• Recruiters now need better data strategies, not just more AI tools

• Companies are rapidly experimenting with new sourcing technologies because old systems are too slow

• There is no one-size-fits-all recruiting solution because hiring needs vary wildly by industry and company stage

• The best recruiters still win through human judgment, not automation alone

• Recruiting remains deeply personal because jobs directly change people’s lives

• AI adoption in recruiting is no longer optional, but lazy implementation is making hiring worse

• The recruiting teams seeing results are the ones adapting workflows daily, not yearly


Guest: Robb Lifferth

Co-Founder at Isotalent

Recruiting marketplace leader helping companies rethink sourcing and hiring in the AI era.

LinkediN : 

https://www.linkedin.com/in/robblifferth/

Connect with Us : 

William Tincup LinkedIn: https://www.linkedin.com/in/tincup/

Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/


WRKdefined : 

Site: http://www.wrkdefined.com

TikTok: https://www.tiktok.com/@wrkdefined

LinkedIn: https://www.linkedin.com/company/wrkdefined

Facebook: https://www.facebook.com/WRKdefined/

Twitter (X): https://twitter.com/WRKdefined

Substack: https://wrkdefined.substack.com/


]]> 288 no AI Is Catching Hiring Fraud Faster Than HR Can Spot It A 73-year-old background screening company is betting big on identity verification before fake candidates wreck trust in hiring. Hiring fraud isn’t creeping in. It’s already here. Fake candidates. AI-generated identities. Foreign bad actors. Rob Tiernan says the old recruiting playbook is breaking under the pressure. This conversation cuts straight into background checks, identity verification, AI adoption, talent management, and why most hiring teams are still playing defense while fraud scales fast. In this episode… Rob Tiernan breaks down how hiring fraud exploded, why AI is both the problem and the fix, and how companies can remove friction without losing the human side of recruiting. They also get into burnout, leadership, and why the best talent strategies have nothing to do with micromanagement. Key Takeaways : * Thuro has been in the background screening industry for 73 years * The company was acquired and rebranded in 2025 after decades under a different name * Recruiting teams are dealing with two problems at once: too many bad-fit applicants or not enough qualified ones * AI-powered hiring fraud is becoming one of the biggest threats in recruiting * Rob says identity fraud stopped looking like a trend and started looking like a real business risk * Thorough partnered with Cerebrum to build identity verification directly into the background check process * Candidates can verify identity instantly using ID scans and facial verification technology * AI inside the company is focused on reducing manual work, not replacing people * Some employees at Thorough have been with the company for 20 to 30 years * Rob describes the business as a “73-year-old startup” because of its current hyper-growth phase * William argues most companies confuse talent management with micromanagement * Rob’s leadership philosophy is simple: reduce friction so talented people can actually perform * The best recruiting teams are using AI behind the scenes while keeping human expertise front and center * Rob says great companies should work without leaders constantly hovering over employees Guest : Rob Tiernan Chief Revenue Officer at Thuro, one of the oldest background screening providers in the industry, now pushing hard into AI-powered identity verification and fraud prevention. LinkedIN : https://www.linkedin.com/in/rob-tiernan-23301966/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ Wed, 27 May 2026 12:00:00 -0000 full WRKdefined Podcast Network A 73-year-old background screening company is betting big on identity verification before fake candidates wreck trust in hiring. Hiring fraud isn’t creeping in. It’s already here. Fake candidates. AI-generated identities. Foreign bad actors. Rob Tiernan says the old recruiting playbook is breaking under the pressure. This conversation cuts straight into background checks, identity verification, AI adoption, talent management, and why most hiring teams are still playing defense while fraud scales fast. In this episode… Rob Tiernan breaks down how hiring fraud exploded, why AI is both the problem and the fix, and how companies can remove friction without losing the human side of recruiting. They also get into burnout, leadership, and why the best talent strategies have nothing to do with micromanagement. Key Takeaways : * Thuro has been in the background screening industry for 73 years * The company was acquired and rebranded in 2025 after decades under a different name * Recruiting teams are dealing with two problems at once: too many bad-fit applicants or not enough qualified ones * AI-powered hiring fraud is becoming one of the biggest threats in recruiting * Rob says identity fraud stopped looking like a trend and started looking like a real business risk * Thorough partnered with Cerebrum to build identity verification directly into the background check process * Candidates can verify identity instantly using ID scans and facial verification technology * AI inside the company is focused on reducing manual work, not replacing people * Some employees at Thorough have been with the company for 20 to 30 years * Rob describes the business as a “73-year-old startup” because of its current hyper-growth phase * William argues most companies confuse talent management with micromanagement * Rob’s leadership philosophy is simple: reduce friction so talented people can actually perform * The best recruiting teams are using AI behind the scenes while keeping human expertise front and center * Rob says great companies should work without leaders constantly hovering over employees Guest : Rob Tiernan Chief Revenue Officer at Thuro, one of the oldest background screening providers in the industry, now pushing hard into AI-powered identity verification and fraud prevention. LinkedIN : https://www.linkedin.com/in/rob-tiernan-23301966/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/ A 73-year-old background screening company is betting big on identity verification before fake candidates wreck trust in hiring. Hiring fraud isn’t creeping in. It’s already here. Fake candidates. AI-generated identities. Foreign bad actors. Rob Tiernan says the old recruiting playbook is breaking under the pressure. This conversation cuts straight into background checks, identity verification, AI adoption, talent management, and why most hiring teams are still playing defense while fraud scales fast. In this episode… Rob Tiernan breaks down how hiring fraud exploded, why AI is both the problem and the fix, and how companies can remove friction without losing the human side of recruiting. They also get into burnout, leadership, and why the best talent strategies have nothing to do with micromanagement. Key Takeaways : * Thuro has been in the background screening industry for 73 years * The company was acquired and rebranded in 2025 after decades under a different name * Recruiting teams are dealing with two problems at once: too many bad-fit applicants or not enough qualified ones * AI-powered hiring fraud is becoming one of the biggest threats in recruiting * Rob says identity fraud stopped looking like a trend and started looking like a real business risk * Thorough partnered with Cerebrum to build identity verification directly into the background check process * Candidates can verify identity instantly using ID scans and facial verification technology * AI inside the company is focused on reducing manual work, not replacing people * Some employees at Thorough have been with the company for 20 to 30 years * Rob describes the business as a “73-year-old startup” because of its current hyper-growth phase * William argues most companies confuse talent management with micromanagement * Rob’s leadership philosophy is simple: reduce friction so talented people can actually perform * The best recruiting teams are using AI behind the scenes while keeping human expertise front and center * Rob says great companies should work without leaders constantly hovering over employees Guest : Rob Tiernan Chief Revenue Officer at Thuro, one of the oldest background screening providers in the industry, now pushing hard into AI-powered identity verification and fraud prevention. LinkedIN : https://www.linkedin.com/in/rob-tiernan-23301966/ Connect with Us : William Tincup LinkedIn: https://www.linkedin.com/in/tincup/ Ryan Leary LinkedIn: https://www.linkedin.com/in/ryanleary/ WRKdefined : Site: http://www.wrkdefined.com TikTok: https://www.tiktok.com/@wrkdefined LinkedIn: https://www.linkedin.com/company/wrkdefined Facebook: https://www.facebook.com/WRKdefined/ Twitter (X): https://twitter.com/WRKdefined Substack: https://wrkdefined.substack.com/

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