The AI Skills Lab Podcast https://wrkdefined.com/ en All rights reserved by WRKdefined Welcome to The AI Skills Lab, where we explore the future of learning, work, and human capability in the age of artificial intelligence. The world of work is undergoing its most dramatic transformation in a century. AI isn’t just changing what we do—it’s fundamentally reshaping how we learn, how we demonstrate capability, and how we prepare for careers that don’t yet exist. Traditional credentials are losing their predictive power. Employers can no longer trust that degrees and certifications translate into actual performance. Meanwhile, workers are stuck in a broken system where passive courses promise transformation but deliver forgettable content and single-digit completion rates. The AI Skills Lab takes you inside the revolution happening at the intersection of immersive learning, artificial intelligence, and workforce development. Hosted by the team at Future State University—the world’s first AI-native learning ecosystem—each episode explores the critical questions facing educators, employers, and learners face as they navigate this new landscape. What makes durable skills actually durable? Why do credentials fail to predict performance? What’s the difference between workers who use AI as a tool versus those trained in AI-native learning environments? And how can immersive 3D career simulations build verified capabilities at scale? We go deep on the science of skill acquisition, the economics of talent development, and the technology making it possible to turn knowledge into applied performance. You’ll hear from learning scientists, workforce strategists, technology pioneers, and practitioners building the future of human capability development. This isn’t a podcast about distant futures or abstract possibilities. Every episode explores real problems facing organizations today: the capability gap between what credentials signal and what performance requires, the transfer problem that makes most training fail, the explosion of micro-credentials that creates more noise than signal, and the urgent need for learning systems that produce verified outcomes instead of vanity metrics. Whether you’re an HR leader rethinking talent development strategy, an educator questioning traditional pedagogy, a professional navigating career transitions in an AI-accelerated economy, or simply someone curious about how humans learn and grow—The AI Skills Lab gives you frameworks, evidence, and insights you can use. We believe the future belongs to those who can demonstrate capability, not just claim it. To learners who practice deliberately in immersive environments, not passively consume content. To institutions that verify performance, not just award credentials. And to organizations that build skills that matter, not just check compliance boxes. Join us in The AI Skills Lab, where theory meets practice, credentials give way to competencies, and the next generation of learning is being built in real time. New episodes weekly. Subscribe wherever you listen to podcasts. https://megaphone.imgix.net/podcasts/4eab42c6-e07e-11f1-a895-7bebb02d7671/image/fca8e518d7c7455661cf0e8ab6fa6d5e.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress The AI Skills Lab Podcast https://wrkdefined.com/ no episodic Powered by the WRKdefined Podcast Network WRKdefined Podcast Network Welcome to The AI Skills Lab, where we explore the future of learning, work, and human capability in the age of artificial intelligence. The world of work is undergoing its most dramatic transformation in a century. AI isn’t just changing what we do—it’s fundamentally reshaping how we learn, how we demonstrate capability, and how we prepare for careers that don’t yet exist. Traditional credentials are losing their predictive power. Employers can no longer trust that degrees and certifications translate into actual performance. Meanwhile, workers are stuck in a broken system where passive courses promise transformation but deliver forgettable content and single-digit completion rates. The AI Skills Lab takes you inside the revolution happening at the intersection of immersive learning, artificial intelligence, and workforce development. Hosted by the team at Future State University—the world’s first AI-native learning ecosystem—each episode explores the critical questions facing educators, employers, and learners face as they navigate this new landscape. What makes durable skills actually durable? Why do credentials fail to predict performance? What’s the difference between workers who use AI as a tool versus those trained in AI-native learning environments? And how can immersive 3D career simulations build verified capabilities at scale? We go deep on the science of skill acquisition, the economics of talent development, and the technology making it possible to turn knowledge into applied performance. You’ll hear from learning scientists, workforce strategists, technology pioneers, and practitioners building the future of human capability development. This isn’t a podcast about distant futures or abstract possibilities. Every episode explores real problems facing organizations today: the capability gap between what credentials signal and what performance requires, the transfer problem that makes most training fail, the explosion of micro-credentials that creates more noise than signal, and the urgent need for learning systems that produce verified outcomes instead of vanity metrics. Whether you’re an HR leader rethinking talent development strategy, an educator questioning traditional pedagogy, a professional navigating career transitions in an AI-accelerated economy, or simply someone curious about how humans learn and grow—The AI Skills Lab gives you frameworks, evidence, and insights you can use. We believe the future belongs to those who can demonstrate capability, not just claim it. To learners who practice deliberately in immersive environments, not passively consume content. To institutions that verify performance, not just award credentials. And to organizations that build skills that matter, not just check compliance boxes. Join us in The AI Skills Lab, where theory meets practice, credentials give way to competencies, and the next generation of learning is being built in real time. New episodes weekly. Subscribe wherever you listen to podcasts. Welcome to The AI Skills Lab, where we explore the future of learning, work, and human capability in the age of artificial intelligence.

The world of work is undergoing its most dramatic transformation in a century. AI isn’t just changing what we do—it’s fundamentally reshaping how we learn, how we demonstrate capability, and how we prepare for careers that don’t yet exist. Traditional credentials are losing their predictive power. Employers can no longer trust that degrees and certifications translate into actual performance. Meanwhile, workers are stuck in a broken system where passive courses promise transformation but deliver forgettable content and single-digit completion rates.

The AI Skills Lab takes you inside the revolution happening at the intersection of immersive learning, artificial intelligence, and workforce development. Hosted by the team at Future State University—the world’s first AI-native learning ecosystem—each episode explores the critical questions facing educators, employers, and learners face as they navigate this new landscape.


What makes durable skills actually durable? Why do credentials fail to predict performance? What’s the difference between workers who use AI as a tool versus those trained in AI-native learning environments? And how can immersive 3D career simulations build verified capabilities at scale?


We go deep on the science of skill acquisition, the economics of talent development, and the technology making it possible to turn knowledge into applied performance. You’ll hear from learning scientists, workforce strategists, technology pioneers, and practitioners building the future of human capability development.


This isn’t a podcast about distant futures or abstract possibilities. Every episode explores real problems facing organizations today: the capability gap between what credentials signal and what performance requires, the transfer problem that makes most training fail, the explosion of micro-credentials that creates more noise than signal, and the urgent need for learning systems that produce verified outcomes instead of vanity metrics.

Whether you’re an HR leader rethinking talent development strategy, an educator questioning traditional pedagogy, a professional navigating career transitions in an AI-accelerated economy, or simply someone curious about how humans learn and grow—The AI Skills Lab gives you frameworks, evidence, and insights you can use.


We believe the future belongs to those who can demonstrate capability, not just claim it. To learners who practice deliberately in immersive environments, not passively consume content. To institutions that verify performance, not just award credentials. And to organizations that build skills that matter, not just check compliance boxes.


Join us in The AI Skills Lab, where theory meets practice, credentials give way to competencies, and the next generation of learning is being built in real time.


New episodes weekly. Subscribe wherever you listen to podcasts.

]]> WRKdefined WRKdefined@gmail.com FSU Webinar Series - From Knowledge to Performance: AI Simulations in an OD Course https://futurestateuniversity.podbean.com/e/fsu-webinar-series-from-knowledge-to-performance-ai-simulations-in-an-od-course/ How do we move students from knowing about a discipline to performing as practitioners in it? In HR 3550 (Organization Development and Change Management), students complete a semester-long, AI-powered consulting simulation built on the Future State University platform. Across eight connected 3D simulations and a capstone reflection, students navigate an authentic 8-stage OD process, make consequential decisions under pressure, and build a longitudinal consulting portfolio deliverable and demonstrate verified consulting competencies. This session shares the course design, the integration of AI simulations with course content, student performance data and engagement outcomes, and practical strategies faculty can adapt to embed applied performance experiences in their own courses. Thu, 29 Oct 2026 19:20:28 -0000 FSU Webinar Series - From Knowledge to Performance: AI Simulations in an OD Course full 462 WRKdefined Podcast Network How do we move students from knowing about a discipline to performing as practitioners in it? In HR 3550 (Organization Development and Change Management), students complete a semester-long, AI-powered consulting simulation built on the Future State University platform. Across eight connected 3D simulations and a capstone reflection, students navigate an authentic 8-stage OD process, make consequential decisions under pressure, and build a longitudinal consulting portfolio deliverable and demonstrate verified consulting competencies. This session shares the course design, the integration of AI simulations with course content, student performance data and engagement outcomes, and practical strategies faculty can adapt to embed applied performance experiences in their own courses. How do we move students from knowing about a discipline to performing as practitioners in it? In HR 3550 (Organization Development and Change Management), students complete a semester-long, AI-powered consulting simulation built on the Future State University platform. Across eight connected 3D simulations and a capstone reflection, students navigate an authentic 8-stage OD process, make consequential decisions under pressure, and build a longitudinal consulting portfolio deliverable and demonstrate verified consulting competencies. This session shares the course design, the integration of AI simulations with course content, student performance data and engagement outcomes, and practical strategies faculty can adapt to embed applied performance experiences in their own courses. How do we move students from knowing about a discipline to performing as practitioners in it? In HR 3550 (Organization Development and Change Management), students complete a semester-long, AI-powered consulting simulation built on the Future State University platform. Across eight connected 3D simulations and a capstone reflection, students navigate an authentic 8-stage OD process, make consequential decisions under pressure, and build a longitudinal consulting portfolio deliverable and demonstrate verified consulting competencies. This session shares the course design, the integration of AI simulations with course content, student performance data and engagement outcomes, and practical strategies faculty can adapt to embed applied performance experiences in their own courses.

]]> 2668 no Navigating Ambiguity and Developing Adaptive Judgment https://futurestateuniversity.podbean.com/e/navigating-ambiguity-and-developing-adaptive-judgment/ This conversation explores how traditional education and corporate training foster a counterproductive reliance on certainty-seeking, leaving capable professionals ill-equipped for real-world scenarios defined by incomplete information and ambiguity. It asserts that adaptive judgment is not a fixed personality trait but a developable professional capability that can be cultivated through deliberate practice, psychological safety, and immersive simulations. By replacing structured, right-answer exercises with messy, ill-structured problems, organizations can help individuals embrace productive struggle and navigate complex challenges. Furthermore, the literature highlights that generative AI heightens the need for human discernment, as certainty-seeking workers risk blindly trusting flawed or overly confident technological outputs. Ultimately, they advocate for systemic shifts in education and leadership development that prioritize resilience, flexibility, and agility over premature closure. Sun, 25 Oct 2026 20:30:59 -0000 Navigating Ambiguity and Developing Adaptive Judgment full 461 WRKdefined Podcast Network This conversation explores how traditional education and corporate training foster a counterproductive reliance on certainty-seeking, leaving capable professionals ill-equipped for real-world scenarios defined by incomplete information and ambiguity. It asserts that adaptive judgment is not a fixed personality trait but a developable professional capability that can be cultivated through deliberate practice, psychological safety, and immersive simulations. By replacing structured, right-answer exercises with messy, ill-structured problems, organizations can help individuals embrace productive struggle and navigate complex challenges. Furthermore, the literature highlights that generative AI heightens the need for human discernment, as certainty-seeking workers risk blindly trusting flawed or overly confident technological outputs. Ultimately, they advocate for systemic shifts in education and leadership development that prioritize resilience, flexibility, and agility over premature closure. This conversation explores how traditional education and corporate training foster a counterproductive reliance on certainty-seeking, leaving capable professionals ill-equipped for real-world scenarios defined by incomplete information and ambiguity. It asserts that adaptive judgment is not a fixed personality trait but a developable professional capability that can be cultivated through deliberate practice, psychological safety, and immersive simulations. By replacing structured, right-answer exercises with messy, ill-structured problems, organizations can help individuals embrace productive struggle and navigate complex challenges. Furthermore, the literature highlights that generative AI heightens the need for human discernment, as certainty-seeking workers risk blindly trusting flawed or overly confident technological outputs. Ultimately, they advocate for systemic shifts in education and leadership development that prioritize resilience, flexibility, and agility over premature closure. This conversation explores how traditional education and corporate training foster a counterproductive reliance on certainty-seeking, leaving capable professionals ill-equipped for real-world scenarios defined by incomplete information and ambiguity. It asserts that adaptive judgment is not a fixed personality trait but a developable professional capability that can be cultivated through deliberate practice, psychological safety, and immersive simulations. By replacing structured, right-answer exercises with messy, ill-structured problems, organizations can help individuals embrace productive struggle and navigate complex challenges. Furthermore, the literature highlights that generative AI heightens the need for human discernment, as certainty-seeking workers risk blindly trusting flawed or overly confident technological outputs. Ultimately, they advocate for systemic shifts in education and leadership development that prioritize resilience, flexibility, and agility over premature closure.

]]> 1635 no Teaching Human Interaction With AI Simulators https://futurestateuniversity.podbean.com/e/teaching-human-interaction-with-ai-simulators/ This presentation by Jonathan H. Westover explores the implementation of AI-powered simulations to bridge the gap between academic knowledge and real-world performance in fields like sociology and leadership. Dr. Westover details a redesign of coursework using sequential simulations that create immersive consulting engagements, fostering psychological fidelity and real-time consequence loops for students. Evidence from two distinct student cohorts demonstrates how these interactive tools help learners self-diagnose overused strengths, improve active listening, and build comfort with ambiguity. Furthermore, the framework tracks six durable skills over time, utilizing an instructor analytics dashboard and an AI mentor named Otto to provide continuous behavioral assessment. Ultimately, the workshop highlights how shifting from static theoretical exams to dynamic, scenario-based practice transforms student learning into adaptable professional judgment. Sat, 24 Oct 2026 13:23:57 -0000 Teaching Human Interaction With AI Simulators full 460 WRKdefined Podcast Network This presentation by Jonathan H. Westover explores the implementation of AI-powered simulations to bridge the gap between academic knowledge and real-world performance in fields like sociology and leadership. Dr. Westover details a redesign of coursework using sequential simulations that create immersive consulting engagements, fostering psychological fidelity and real-time consequence loops for students. Evidence from two distinct student cohorts demonstrates how these interactive tools help learners self-diagnose overused strengths, improve active listening, and build comfort with ambiguity. Furthermore, the framework tracks six durable skills over time, utilizing an instructor analytics dashboard and an AI mentor named Otto to provide continuous behavioral assessment. Ultimately, the workshop highlights how shifting from static theoretical exams to dynamic, scenario-based practice transforms student learning into adaptable professional judgment. This presentation by Jonathan H. Westover explores the implementation of AI-powered simulations to bridge the gap between academic knowledge and real-world performance in fields like sociology and leadership. Dr. Westover details a redesign of coursework using sequential simulations that create immersive consulting engagements, fostering psychological fidelity and real-time consequence loops for students. Evidence from two distinct student cohorts demonstrates how these interactive tools help learners self-diagnose overused strengths, improve active listening, and build comfort with ambiguity. Furthermore, the framework tracks six durable skills over time, utilizing an instructor analytics dashboard and an AI mentor named Otto to provide continuous behavioral assessment. Ultimately, the workshop highlights how shifting from static theoretical exams to dynamic, scenario-based practice transforms student learning into adaptable professional judgment. This presentation by Jonathan H. Westover explores the implementation of AI-powered simulations to bridge the gap between academic knowledge and real-world performance in fields like sociology and leadership. Dr. Westover details a redesign of coursework using sequential simulations that create immersive consulting engagements, fostering psychological fidelity and real-time consequence loops for students. Evidence from two distinct student cohorts demonstrates how these interactive tools help learners self-diagnose overused strengths, improve active listening, and build comfort with ambiguity. Furthermore, the framework tracks six durable skills over time, utilizing an instructor analytics dashboard and an AI mentor named Otto to provide continuous behavioral assessment. Ultimately, the workshop highlights how shifting from static theoretical exams to dynamic, scenario-based practice transforms student learning into adaptable professional judgment.

]]> 1400 no How AI Simulations Force Productive Failure https://futurestateuniversity.podbean.com/e/how-ai-simulations-force-productive-failure/ This conversation explores a research proposal that outlines a multi-course investigation led by Jonathan H. Westover and colleagues at Utah Valley University to test AI-enabled immersive simulations across diverse management disciplines. Building on a successful summer 2026 pilot in a single leadership course, the study expands across thirteen course sections in fall 2026 and spring 2027 to examine the knowing-doing gap in management education. The authors propose a theoretical process model wherein consequential simulation tasks create productive struggle, revealing gaps between students' self-perceptions and actual performance through detailed career profile metrics. Furthermore, the research investigates how diagnostic feedback and structured reflection facilitate mental-model revision, provided that students maintain trust in the algorithmic assessment. Ultimately, this expanded initiative aims to evaluate how task characteristics—such as ambiguity, rule boundedness, and relational complexity—influence whether students develop adaptive judgment and successfully transfer their learning to novel professional scenarios. Sat, 24 Oct 2026 13:21:58 -0000 How AI Simulations Force Productive Failure full 459 WRKdefined Podcast Network This conversation explores a research proposal that outlines a multi-course investigation led by Jonathan H. Westover and colleagues at Utah Valley University to test AI-enabled immersive simulations across diverse management disciplines. Building on a successful summer 2026 pilot in a single leadership course, the study expands across thirteen course sections in fall 2026 and spring 2027 to examine the knowing-doing gap in management education. The authors propose a theoretical process model wherein consequential simulation tasks create productive struggle, revealing gaps between students' self-perceptions and actual performance through detailed career profile metrics. Furthermore, the research investigates how diagnostic feedback and structured reflection facilitate mental-model revision, provided that students maintain trust in the algorithmic assessment. Ultimately, this expanded initiative aims to evaluate how task characteristics—such as ambiguity, rule boundedness, and relational complexity—influence whether students develop adaptive judgment and successfully transfer their learning to novel professional scenarios. This conversation explores a research proposal that outlines a multi-course investigation led by Jonathan H. Westover and colleagues at Utah Valley University to test AI-enabled immersive simulations across diverse management disciplines. Building on a successful summer 2026 pilot in a single leadership course, the study expands across thirteen course sections in fall 2026 and spring 2027 to examine the knowing-doing gap in management education. The authors propose a theoretical process model wherein consequential simulation tasks create productive struggle, revealing gaps between students' self-perceptions and actual performance through detailed career profile metrics. Furthermore, the research investigates how diagnostic feedback and structured reflection facilitate mental-model revision, provided that students maintain trust in the algorithmic assessment. Ultimately, this expanded initiative aims to evaluate how task characteristics—such as ambiguity, rule boundedness, and relational complexity—influence whether students develop adaptive judgment and successfully transfer their learning to novel professional scenarios. This conversation explores a research proposal that outlines a multi-course investigation led by Jonathan H. Westover and colleagues at Utah Valley University to test AI-enabled immersive simulations across diverse management disciplines. Building on a successful summer 2026 pilot in a single leadership course, the study expands across thirteen course sections in fall 2026 and spring 2027 to examine the knowing-doing gap in management education. The authors propose a theoretical process model wherein consequential simulation tasks create productive struggle, revealing gaps between students' self-perceptions and actual performance through detailed career profile metrics. Furthermore, the research investigates how diagnostic feedback and structured reflection facilitate mental-model revision, provided that students maintain trust in the algorithmic assessment. Ultimately, this expanded initiative aims to evaluate how task characteristics—such as ambiguity, rule boundedness, and relational complexity—influence whether students develop adaptive judgment and successfully transfer their learning to novel professional scenarios.

]]> 1479 no How Video Games Fix Corporate Training https://futurestateuniversity.podbean.com/e/how-video-games-fix-corporate-training/ Generation Z employees are entering the workforce with learning expectations that fundamentally clash with traditional corporate training models. Shaped by digital media, gaming, and artificial intelligence, younger workers demand continuous learning ecosystems that offer immediate feedback, practical application, and clear career progression. Rather than relying on outdated episodic workshops and completion certificates, modern organizations must adopt evidence-based learning design that aligns with established learning science principles. By updating their infrastructure to include AI-driven coaching and transparent skills frameworks, companies can better engage younger staff while simultaneously improving skill development across all workforce generations. Meeting these modern demands is no longer just a generational accommodation, but a necessary strategy for maintaining competitive capability in a rapidly evolving economic landscape. Sat, 24 Oct 2026 13:20:06 -0000 How Video Games Fix Corporate Training full 458 WRKdefined Podcast Network Generation Z employees are entering the workforce with learning expectations that fundamentally clash with traditional corporate training models. Shaped by digital media, gaming, and artificial intelligence, younger workers demand continuous learning ecosystems that offer immediate feedback, practical application, and clear career progression. Rather than relying on outdated episodic workshops and completion certificates, modern organizations must adopt evidence-based learning design that aligns with established learning science principles. By updating their infrastructure to include AI-driven coaching and transparent skills frameworks, companies can better engage younger staff while simultaneously improving skill development across all workforce generations. Meeting these modern demands is no longer just a generational accommodation, but a necessary strategy for maintaining competitive capability in a rapidly evolving economic landscape. Generation Z employees are entering the workforce with learning expectations that fundamentally clash with traditional corporate training models. Shaped by digital media, gaming, and artificial intelligence, younger workers demand continuous learning ecosystems that offer immediate feedback, practical application, and clear career progression. Rather than relying on outdated episodic workshops and completion certificates, modern organizations must adopt evidence-based learning design that aligns with established learning science principles. By updating their infrastructure to include AI-driven coaching and transparent skills frameworks, companies can better engage younger staff while simultaneously improving skill development across all workforce generations. Meeting these modern demands is no longer just a generational accommodation, but a necessary strategy for maintaining competitive capability in a rapidly evolving economic landscape. Generation Z employees are entering the workforce with learning expectations that fundamentally clash with traditional corporate training models. Shaped by digital media, gaming, and artificial intelligence, younger workers demand continuous learning ecosystems that offer immediate feedback, practical application, and clear career progression. Rather than relying on outdated episodic workshops and completion certificates, modern organizations must adopt evidence-based learning design that aligns with established learning science principles. By updating their infrastructure to include AI-driven coaching and transparent skills frameworks, companies can better engage younger staff while simultaneously improving skill development across all workforce generations. Meeting these modern demands is no longer just a generational accommodation, but a necessary strategy for maintaining competitive capability in a rapidly evolving economic landscape.

]]> 1363 no Why Smart Graduates Freeze Under Pressure https://futurestateuniversity.podbean.com/e/why-smart-graduates-freeze-under-pressure/ This conversation explores Dr. Westover's research that examines the pervasive knowing–doing gap, highlighting why capable graduates frequently struggle to apply theoretical knowledge in high-stakes professional environments. It attributes this translation deficit to traditional educational models that overemphasize static recall and decontextualized testing instead of cultivating active, adaptive judgment. To bridge this divide, Dr. Westover advocates for evidence-based learning strategies such as consequential simulations, productive failure, and structured feedback. Furthermore, the research explores how modern structural pressures, including shrinking entry-level apprenticeships and the rise of artificial intelligence, make these practical teaching methods more urgent than ever. Ultimately, the research argue that transforming education requires shifting away from passive content delivery toward realistic behavioral practice that builds true workplace readiness. Sat, 24 Oct 2026 13:19:10 -0000 Why Smart Graduates Freeze Under Pressure full 457 WRKdefined Podcast Network This conversation explores Dr. Westover's research that examines the pervasive knowing–doing gap, highlighting why capable graduates frequently struggle to apply theoretical knowledge in high-stakes professional environments. It attributes this translation deficit to traditional educational models that overemphasize static recall and decontextualized testing instead of cultivating active, adaptive judgment. To bridge this divide, Dr. Westover advocates for evidence-based learning strategies such as consequential simulations, productive failure, and structured feedback. Furthermore, the research explores how modern structural pressures, including shrinking entry-level apprenticeships and the rise of artificial intelligence, make these practical teaching methods more urgent than ever. Ultimately, the research argue that transforming education requires shifting away from passive content delivery toward realistic behavioral practice that builds true workplace readiness. This conversation explores Dr. Westover's research that examines the pervasive knowing–doing gap, highlighting why capable graduates frequently struggle to apply theoretical knowledge in high-stakes professional environments. It attributes this translation deficit to traditional educational models that overemphasize static recall and decontextualized testing instead of cultivating active, adaptive judgment. To bridge this divide, Dr. Westover advocates for evidence-based learning strategies such as consequential simulations, productive failure, and structured feedback. Furthermore, the research explores how modern structural pressures, including shrinking entry-level apprenticeships and the rise of artificial intelligence, make these practical teaching methods more urgent than ever. Ultimately, the research argue that transforming education requires shifting away from passive content delivery toward realistic behavioral practice that builds true workplace readiness. This conversation explores Dr. Westover's research that examines the pervasive knowing–doing gap, highlighting why capable graduates frequently struggle to apply theoretical knowledge in high-stakes professional environments. It attributes this translation deficit to traditional educational models that overemphasize static recall and decontextualized testing instead of cultivating active, adaptive judgment. To bridge this divide, Dr. Westover advocates for evidence-based learning strategies such as consequential simulations, productive failure, and structured feedback. Furthermore, the research explores how modern structural pressures, including shrinking entry-level apprenticeships and the rise of artificial intelligence, make these practical teaching methods more urgent than ever. Ultimately, the research argue that transforming education requires shifting away from passive content delivery toward realistic behavioral practice that builds true workplace readiness.

]]> 1363 no Why Frustration Is Proof of Learning https://futurestateuniversity.podbean.com/e/why-frustration-is-proof-of-learning/ Productive failure demonstrates that initial struggles and errors before receiving formal instruction actually build deeper conceptual understanding and long-term transfer compared to traditional, smooth teaching methods. Educational systems and workplaces often mistakenly optimize for immediate performance fluency, yet desirable difficulties and error management training prove that early setbacks foster essential adaptive judgment. Psychological, cultural, and structural barriers frequently discourage organizations from embracing productive struggle, leading to an illusion of readiness among professionals and students alike. To counter this, educational and corporate environments must deliberately sequence struggle before instruction, utilize low-stakes simulations, and conduct structured debriefs with credible feedback. Ultimately, individuals and leaders are encouraged to reframe effort as a positive signal, transforming inevitable setbacks into lasting professional capabilities. Sat, 24 Oct 2026 13:17:29 -0000 Why Frustration Is Proof of Learning full 456 WRKdefined Podcast Network Productive failure demonstrates that initial struggles and errors before receiving formal instruction actually build deeper conceptual understanding and long-term transfer compared to traditional, smooth teaching methods. Educational systems and workplaces often mistakenly optimize for immediate performance fluency, yet desirable difficulties and error management training prove that early setbacks foster essential adaptive judgment. Psychological, cultural, and structural barriers frequently discourage organizations from embracing productive struggle, leading to an illusion of readiness among professionals and students alike. To counter this, educational and corporate environments must deliberately sequence struggle before instruction, utilize low-stakes simulations, and conduct structured debriefs with credible feedback. Ultimately, individuals and leaders are encouraged to reframe effort as a positive signal, transforming inevitable setbacks into lasting professional capabilities. Productive failure demonstrates that initial struggles and errors before receiving formal instruction actually build deeper conceptual understanding and long-term transfer compared to traditional, smooth teaching methods. Educational systems and workplaces often mistakenly optimize for immediate performance fluency, yet desirable difficulties and error management training prove that early setbacks foster essential adaptive judgment. Psychological, cultural, and structural barriers frequently discourage organizations from embracing productive struggle, leading to an illusion of readiness among professionals and students alike. To counter this, educational and corporate environments must deliberately sequence struggle before instruction, utilize low-stakes simulations, and conduct structured debriefs with credible feedback. Ultimately, individuals and leaders are encouraged to reframe effort as a positive signal, transforming inevitable setbacks into lasting professional capabilities. Productive failure demonstrates that initial struggles and errors before receiving formal instruction actually build deeper conceptual understanding and long-term transfer compared to traditional, smooth teaching methods. Educational systems and workplaces often mistakenly optimize for immediate performance fluency, yet desirable difficulties and error management training prove that early setbacks foster essential adaptive judgment. Psychological, cultural, and structural barriers frequently discourage organizations from embracing productive struggle, leading to an illusion of readiness among professionals and students alike. To counter this, educational and corporate environments must deliberately sequence struggle before instruction, utilize low-stakes simulations, and conduct structured debriefs with credible feedback. Ultimately, individuals and leaders are encouraged to reframe effort as a positive signal, transforming inevitable setbacks into lasting professional capabilities.

]]> 1302 no How Behavioral Mirrors Fix Blind Spots https://futurestateuniversity.podbean.com/e/how-behavioral-mirrors-fix-blind-spots/ This conversation explores Dr. Jonathan H. Westover's research that examines the significant self-perception gap between how individuals evaluate their own abilities and how they actually perform, particularly in crucial interpersonal and leadership domains. It highlights that traditional learning environments and conventional feedback mechanisms frequently fail to calibrate self-awareness, leaving many capable people and graduates overconfident and poorly prepared for real-world pressures. To resolve this issue, the research advocates for behavioral mirrors—such as immersive simulations paired with structured reflection and repeated practice—which present learners with objective evidence of their actions. Ultimately, the literature argues that organizations and educational institutions must transition from measuring surface-level confidence to cultivating true calibration through evidence-based career profiles and developmental feedback systems. Sat, 24 Oct 2026 13:16:29 -0000 How Behavioral Mirrors Fix Blind Spots full 455 WRKdefined Podcast Network This conversation explores Dr. Jonathan H. Westover's research that examines the significant self-perception gap between how individuals evaluate their own abilities and how they actually perform, particularly in crucial interpersonal and leadership domains. It highlights that traditional learning environments and conventional feedback mechanisms frequently fail to calibrate self-awareness, leaving many capable people and graduates overconfident and poorly prepared for real-world pressures. To resolve this issue, the research advocates for behavioral mirrors—such as immersive simulations paired with structured reflection and repeated practice—which present learners with objective evidence of their actions. Ultimately, the literature argues that organizations and educational institutions must transition from measuring surface-level confidence to cultivating true calibration through evidence-based career profiles and developmental feedback systems. This conversation explores Dr. Jonathan H. Westover's research that examines the significant self-perception gap between how individuals evaluate their own abilities and how they actually perform, particularly in crucial interpersonal and leadership domains. It highlights that traditional learning environments and conventional feedback mechanisms frequently fail to calibrate self-awareness, leaving many capable people and graduates overconfident and poorly prepared for real-world pressures. To resolve this issue, the research advocates for behavioral mirrors—such as immersive simulations paired with structured reflection and repeated practice—which present learners with objective evidence of their actions. Ultimately, the literature argues that organizations and educational institutions must transition from measuring surface-level confidence to cultivating true calibration through evidence-based career profiles and developmental feedback systems. This conversation explores Dr. Jonathan H. Westover's research that examines the significant self-perception gap between how individuals evaluate their own abilities and how they actually perform, particularly in crucial interpersonal and leadership domains. It highlights that traditional learning environments and conventional feedback mechanisms frequently fail to calibrate self-awareness, leaving many capable people and graduates overconfident and poorly prepared for real-world pressures. To resolve this issue, the research advocates for behavioral mirrors—such as immersive simulations paired with structured reflection and repeated practice—which present learners with objective evidence of their actions. Ultimately, the literature argues that organizations and educational institutions must transition from measuring surface-level confidence to cultivating true calibration through evidence-based career profiles and developmental feedback systems.

]]> 1518 no Mirrors with Teeth: AI Simulations in Adaptive Leadership Education https://futurestateuniversity.podbean.com/e/mirrors-with-teeth-ai-simulations-in-adaptive-leadership-education/ This academic study investigates the effectiveness of AI-driven simulations in teaching adaptive leadership to undergraduate students. By analyzing student reflections, the author explores how interactive workplace scenarios and personalized feedback help learners bridge the gap between theoretical knowledge and practical application. The research highlights a "dip-then-climb" learning trajectory, where initial struggles in the simulation lead to deeper metacognitive growth and a greater tolerance for managerial ambiguity. Key findings suggest that these digital tools act as "mirrors with teeth," forcing students to confront discrepancies between their self-perceptions and their actual performance. Ultimately, the source argues that combining consequence-driven simulations with structured reflection significantly improves relational skills and emotional intelligence in emerging leaders. Wed, 23 Sep 2026 18:59:23 -0000 Mirrors with Teeth: AI Simulations in Adaptive Leadership Education full 454 WRKdefined Podcast Network This academic study investigates the effectiveness of AI-driven simulations in teaching adaptive leadership to undergraduate students. By analyzing student reflections, the author explores how interactive workplace scenarios and personalized feedback help learners bridge the gap between theoretical knowledge and practical application. The research highlights a "dip-then-climb" learning trajectory, where initial struggles in the simulation lead to deeper metacognitive growth and a greater tolerance for managerial ambiguity. Key findings suggest that these digital tools act as "mirrors with teeth," forcing students to confront discrepancies between their self-perceptions and their actual performance. Ultimately, the source argues that combining consequence-driven simulations with structured reflection significantly improves relational skills and emotional intelligence in emerging leaders. This academic study investigates the effectiveness of AI-driven simulations in teaching adaptive leadership to undergraduate students. By analyzing student reflections, the author explores how interactive workplace scenarios and personalized feedback help learners bridge the gap between theoretical knowledge and practical application. The research highlights a "dip-then-climb" learning trajectory, where initial struggles in the simulation lead to deeper metacognitive growth and a greater tolerance for managerial ambiguity. Key findings suggest that these digital tools act as "mirrors with teeth," forcing students to confront discrepancies between their self-perceptions and their actual performance. Ultimately, the source argues that combining consequence-driven simulations with structured reflection significantly improves relational skills and emotional intelligence in emerging leaders. This academic study investigates the effectiveness of AI-driven simulations in teaching adaptive leadership to undergraduate students. By analyzing student reflections, the author explores how interactive workplace scenarios and personalized feedback help learners bridge the gap between theoretical knowledge and practical application. The research highlights a "dip-then-climb" learning trajectory, where initial struggles in the simulation lead to deeper metacognitive growth and a greater tolerance for managerial ambiguity. Key findings suggest that these digital tools act as "mirrors with teeth," forcing students to confront discrepancies between their self-perceptions and their actual performance. Ultimately, the source argues that combining consequence-driven simulations with structured reflection significantly improves relational skills and emotional intelligence in emerging leaders.

]]> 1506 no Beyond the Score: Why the Skills That Matter Most Are the Hardest to Measure https://futurestateuniversity.podbean.com/e/beyond-the-score-why-the-skills-that-matter-most-are-the-hardest-to-measure/ What if the tests your organization relies on to identify great leaders are actually pointing you in the wrong direction? In this episode, your cohosts dig into a provocative article by Dr. Jonathan H. Westover that starts with a striking story: a Fortune 100 company ran every leadership assessment in the book, promoted their top scorers — and then checked the data three years later. The results were humbling. High scorers had stalled. Low scorers had become the organization's best leaders. So where did the process go wrong? The instruments weren't broken. The problem, as one executive put it, was simpler and more uncomfortable than that: "We were measuring what was easy to measure, not what actually mattered." Your cohosts unpack why conventional testing is genuinely well-suited to knowledge and fundamentally mismatched to judgment, communication, and leadership — and what the research actually says about methods that work better, from behavioral observation and work samples to assessment centers and immersive simulation. They'll also get into the thorny human side of all this: the self-perception blind spot that makes us poor judges of our own interpersonal effectiveness, the equity implications of relying too heavily on abstract cognitive testing, and why separating developmental feedback from high-stakes evaluation might be the most underrated move an organization can make. Whether you're in HR, leadership development, or just someone who's ever suspected that a test score didn't quite capture what you're actually capable of, this one's for you. Fri, 18 Sep 2026 21:00:00 -0000 Beyond the Score: Why the Skills That Matter Most Are the Hardest to Measure full 453 WRKdefined Podcast Network What if the tests your organization relies on to identify great leaders are actually pointing you in the wrong direction? In this episode, your cohosts dig into a provocative article by Dr. Jonathan H. Westover that starts with a striking story: a Fortune 100 company ran every leadership assessment in the book, promoted their top scorers — and then checked the data three years later. The results were humbling. High scorers had stalled. Low scorers had become the organization's best leaders. So where did the process go wrong? The instruments weren't broken. The problem, as one executive put it, was simpler and more uncomfortable than that: "We were measuring what was easy to measure, not what actually mattered." Your cohosts unpack why conventional testing is genuinely well-suited to knowledge and fundamentally mismatched to judgment, communication, and leadership — and what the research actually says about methods that work better, from behavioral observation and work samples to assessment centers and immersive simulation. They'll also get into the thorny human side of all this: the self-perception blind spot that makes us poor judges of our own interpersonal effectiveness, the equity implications of relying too heavily on abstract cognitive testing, and why separating developmental feedback from high-stakes evaluation might be the most underrated move an organization can make. Whether you're in HR, leadership development, or just someone who's ever suspected that a test score didn't quite capture what you're actually capable of, this one's for you. What if the tests your organization relies on to identify great leaders are actually pointing you in the wrong direction? In this episode, your cohosts dig into a provocative article by Dr. Jonathan H. Westover that starts with a striking story: a Fortune 100 company ran every leadership assessment in the book, promoted their top scorers — and then checked the data three years later. The results were humbling. High scorers had stalled. Low scorers had become the organization's best leaders. So where did the process go wrong? The instruments weren't broken. The problem, as one executive put it, was simpler and more uncomfortable than that: "We were measuring what was easy to measure, not what actually mattered." Your cohosts unpack why conventional testing is genuinely well-suited to knowledge and fundamentally mismatched to judgment, communication, and leadership — and what the research actually says about methods that work better, from behavioral observation and work samples to assessment centers and immersive simulation. They'll also get into the thorny human side of all this: the self-perception blind spot that makes us poor judges of our own interpersonal effectiveness, the equity implications of relying too heavily on abstract cognitive testing, and why separating developmental feedback from high-stakes evaluation might be the most underrated move an organization can make. Whether you're in HR, leadership development, or just someone who's ever suspected that a test score didn't quite capture what you're actually capable of, this one's for you. What if the tests your organization relies on to identify great leaders are actually pointing you in the wrong direction? In this episode, your cohosts dig into a provocative article by Dr. Jonathan H. Westover that starts with a striking story: a Fortune 100 company ran every leadership assessment in the book, promoted their top scorers — and then checked the data three years later. The results were humbling. High scorers had stalled. Low scorers had become the organization's best leaders.

So where did the process go wrong? The instruments weren't broken. The problem, as one executive put it, was simpler and more uncomfortable than that: "We were measuring what was easy to measure, not what actually mattered."

Your cohosts unpack why conventional testing is genuinely well-suited to knowledge and fundamentally mismatched to judgment, communication, and leadership — and what the research actually says about methods that work better, from behavioral observation and work samples to assessment centers and immersive simulation. They'll also get into the thorny human side of all this: the self-perception blind spot that makes us poor judges of our own interpersonal effectiveness, the equity implications of relying too heavily on abstract cognitive testing, and why separating developmental feedback from high-stakes evaluation might be the most underrated move an organization can make.

Whether you're in HR, leadership development, or just someone who's ever suspected that a test score didn't quite capture what you're actually capable of, this one's for you.

]]> 1295 no Jobs Report: As Hiring Slows, America Works CEO Explains Impact on Vulnerable Job Seekers, with Dr. Lee Bowes https://futurestateuniversity.podbean.com/e/jobs-report-as-hiring-slows-america-works-ceo-explains-impact-on-vulnerable-job-seekers-with-dr-lee-bowes/ In this podcast episode, Dr. Jonathan H. Westover talks with Dr. Lee Bowes about the jobs report and slowing hiring. Dr. Lee Bowes is the Chief Executive Officer of ⁠America Works⁠, a private workforce development organization founded in 1984. She joined the company in 1987 and co-developed the "Work First" theory, which emphasizes private-sector employment as the primary path out of poverty. Wed, 26 Aug 2026 00:00:00 -0000 Jobs Report: As Hiring Slows, America Works CEO Explains Impact on Vulnerable Job Seekers, with Dr. Lee Bowes full 447 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Dr. Lee Bowes about the jobs report and slowing hiring. Dr. Lee Bowes is the Chief Executive Officer of ⁠America Works⁠, a private workforce development organization founded in 1984. She joined the company in 1987 and co-developed the "Work First" theory, which emphasizes private-sector employment as the primary path out of poverty. In this podcast episode, Dr. Jonathan H. Westover talks with Dr. Lee Bowes about the jobs report and slowing hiring. Dr. Lee Bowes is the Chief Executive Officer of ⁠America Works⁠, a private workforce development organization founded in 1984. She joined the company in 1987 and co-developed the "Work First" theory, which emphasizes private-sector employment as the primary path out of poverty. In this podcast episode, Dr. Jonathan H. Westover talks with Dr. Lee Bowes about the jobs report and slowing hiring.

Dr. Lee Bowes is the Chief Executive Officer of ⁠America Works⁠, a private workforce development organization founded in 1984. She joined the company in 1987 and co-developed the "Work First" theory, which emphasizes private-sector employment as the primary path out of poverty.

]]> 2439 no From Theory to Practice in 5 Minutes: The Learning Simulation Revolution https://futurestateuniversity.podbean.com/e/from-theory-to-practice-in-5-minutes-the-learning-simulation-revolution/ Two project managers. Same 40-hour certification course. Same credential. Six months later, one delivers a complex project under budget and ahead of schedule. The other's project runs over budget, misses deadlines, and leaves stakeholders frustrated. Same training. Same credential. Completely different outcomes. Now imagine a different approach: Five minutes in a high-fidelity simulation. A project crisis is unfolding. Stakeholders demand conflicting changes. The budget is constrained. A critical deadline looms. You make decisions—prioritize features, communicate trade-offs, manage expectations, adjust resources. Immediately, you receive performance data showing not just what you decided, but how you reasoned, where your judgment faltered, and which capabilities need development. Which approach better predicts who will actually succeed when the real crisis hits? In this final episode of our four-part series, we move from diagnosis to solution. Organizations spend over $360 billion annually on training that 80-90% fails to transfer to improved job performance and 90% is forgotten within a month. The constraint isn't time—it's how we use it. Brief, high-stakes, feedback-rich simulations turn workforce development from content coverage into competence building. We explore why traditional training fails so spectacularly—passive consumption, decontextualized knowledge, no pressure or stakes, massive application gaps—and what learning science actually says works: deliberate practice with immediate feedback, high-pressure application that engages memory systems, repetition with variation, and meaningful consequences that reveal gaps. The learning simulation revolution changes everything. Instead of 40 hours hoping for transfer, you get 5-15 minutes of deliberate practice under pressure with immediate feedback. The difference isn't duration—it's density. And the results are measurable: 95% completion rates versus 30% for traditional courses, 3x higher engagement, and skill development that actually transfers to job performance. What You'll Learn: Why five minutes of deliberate practice beats five hours of passive content The brutal arithmetic of training failure and what it's costing organizations How memory consolidation, emotional arousal, and stakes drive retention Why brief simulations produce better outcomes than comprehensive courses The ecosystem approach: building mastery through accumulated micro-practice Real data on engagement, performance, and efficiency gains Implementation frameworks for universities, companies, and K-12 This isn't just theory. By the end of this episode, you'll understand why the future of learning looks nothing like the past—and you'll be ready to experience it yourself. Mon, 24 Aug 2026 22:00:53 -0000 From Theory to Practice in 5 Minutes: The Learning Simulation Revolution full 451 WRKdefined Podcast Network Two project managers. Same 40-hour certification course. Same credential. Six months later, one delivers a complex project under budget and ahead of schedule. The other's project runs over budget, misses deadlines, and leaves stakeholders frustrated. Same training. Same credential. Completely different outcomes. Now imagine a different approach: Five minutes in a high-fidelity simulation. A project crisis is unfolding. Stakeholders demand conflicting changes. The budget is constrained. A critical deadline looms. You make decisions—prioritize features, communicate trade-offs, manage expectations, adjust resources. Immediately, you receive performance data showing not just what you decided, but how you reasoned, where your judgment faltered, and which capabilities need development. Which approach better predicts who will actually succeed when the real crisis hits? In this final episode of our four-part series, we move from diagnosis to solution. Organizations spend over $360 billion annually on training that 80-90% fails to transfer to improved job performance and 90% is forgotten within a month. The constraint isn't time—it's how we use it. Brief, high-stakes, feedback-rich simulations turn workforce development from content coverage into competence building. We explore why traditional training fails so spectacularly—passive consumption, decontextualized knowledge, no pressure or stakes, massive application gaps—and what learning science actually says works: deliberate practice with immediate feedback, high-pressure application that engages memory systems, repetition with variation, and meaningful consequences that reveal gaps. The learning simulation revolution changes everything. Instead of 40 hours hoping for transfer, you get 5-15 minutes of deliberate practice under pressure with immediate feedback. The difference isn't duration—it's density. And the results are measurable: 95% completion rates versus 30% for traditional courses, 3x higher engagement, and skill development that actually transfers to job performance. What You'll Learn: Why five minutes of deliberate practice beats five hours of passive content The brutal arithmetic of training failure and what it's costing organizations How memory consolidation, emotional arousal, and stakes drive retention Why brief simulations produce better outcomes than comprehensive courses The ecosystem approach: building mastery through accumulated micro-practice Real data on engagement, performance, and efficiency gains Implementation frameworks for universities, companies, and K-12 This isn't just theory. By the end of this episode, you'll understand why the future of learning looks nothing like the past—and you'll be ready to experience it yourself. Two project managers. Same 40-hour certification course. Same credential. Six months later, one delivers a complex project under budget and ahead of schedule. The other's project runs over budget, misses deadlines, and leaves stakeholders frustrated. Same training. Same credential. Completely different outcomes. Now imagine a different approach: Five minutes in a high-fidelity simulation. A project crisis is unfolding. Stakeholders demand conflicting changes. The budget is constrained. A critical deadline looms. You make decisions—prioritize features, communicate trade-offs, manage expectations, adjust resources. Immediately, you receive performance data showing not just what you decided, but how you reasoned, where your judgment faltered, and which capabilities need development. Which approach better predicts who will actually succeed when the real crisis hits? In this final episode of our four-part series, we move from diagnosis to solution. Organizations spend over $360 billion annually on training that 80-90% fails to transfer to improved job performance and 90% is forgotten within a month. The constraint isn't time—it's how we use it. Brief, high-stakes, feedback-rich simulations turn workforce development from content coverage into competence building. We explore why traditional training fails so spectacularly—passive consumption, decontextualized knowledge, no pressure or stakes, massive application gaps—and what learning science actually says works: deliberate practice with immediate feedback, high-pressure application that engages memory systems, repetition with variation, and meaningful consequences that reveal gaps. The learning simulation revolution changes everything. Instead of 40 hours hoping for transfer, you get 5-15 minutes of deliberate practice under pressure with immediate feedback. The difference isn't duration—it's density. And the results are measurable: 95% completion rates versus 30% for traditional courses, 3x higher engagement, and skill development that actually transfers to job performance. What You'll Learn: Why five minutes of deliberate practice beats five hours of passive content The brutal arithmetic of training failure and what it's costing organizations How memory consolidation, emotional arousal, and stakes drive retention Why brief simulations produce better outcomes than comprehensive courses The ecosystem approach: building mastery through accumulated micro-practice Real data on engagement, performance, and efficiency gains Implementation frameworks for universities, companies, and K-12 This isn't just theory. By the end of this episode, you'll understand why the future of learning looks nothing like the past—and you'll be ready to experience it yourself. Two project managers. Same 40-hour certification course. Same credential. Six months later, one delivers a complex project under budget and ahead of schedule. The other's project runs over budget, misses deadlines, and leaves stakeholders frustrated.

Same training. Same credential. Completely different outcomes.

Now imagine a different approach: Five minutes in a high-fidelity simulation. A project crisis is unfolding. Stakeholders demand conflicting changes. The budget is constrained. A critical deadline looms. You make decisions—prioritize features, communicate trade-offs, manage expectations, adjust resources. Immediately, you receive performance data showing not just what you decided, but how you reasoned, where your judgment faltered, and which capabilities need development.

Which approach better predicts who will actually succeed when the real crisis hits?

In this final episode of our four-part series, we move from diagnosis to solution. Organizations spend over $360 billion annually on training that 80-90% fails to transfer to improved job performance and 90% is forgotten within a month. The constraint isn't time—it's how we use it. Brief, high-stakes, feedback-rich simulations turn workforce development from content coverage into competence building.

We explore why traditional training fails so spectacularly—passive consumption, decontextualized knowledge, no pressure or stakes, massive application gaps—and what learning science actually says works: deliberate practice with immediate feedback, high-pressure application that engages memory systems, repetition with variation, and meaningful consequences that reveal gaps.

The learning simulation revolution changes everything. Instead of 40 hours hoping for transfer, you get 5-15 minutes of deliberate practice under pressure with immediate feedback. The difference isn't duration—it's density. And the results are measurable: 95% completion rates versus 30% for traditional courses, 3x higher engagement, and skill development that actually transfers to job performance.

What You'll Learn:

  • Why five minutes of deliberate practice beats five hours of passive content
  • The brutal arithmetic of training failure and what it's costing organizations
  • How memory consolidation, emotional arousal, and stakes drive retention
  • Why brief simulations produce better outcomes than comprehensive courses
  • The ecosystem approach: building mastery through accumulated micro-practice
  • Real data on engagement, performance, and efficiency gains
  • Implementation frameworks for universities, companies, and K-12

This isn't just theory. By the end of this episode, you'll understand why the future of learning looks nothing like the past—and you'll be ready to experience it yourself.

]]> 1437 no AI-Trained vs. AI-Native Workers: The Hidden Performance Gap https://futurestateuniversity.podbean.com/e/ai-trained-vs-ai-native-workers-the-hidden-performance-gap/ Fifteen analysts. Same AI tools. Same two-hour deadline. Same acquisition target to evaluate. Twelve recommended moving forward. Three recommended walking away. The target company had a quietly fatal regulatory flaw that would have made the acquisition unviable—but catching it required connecting information across domains the AI tools weren't designed to synthesize. The three who caught it didn't have better AI tools. They asked different questions—questions the AI could help answer but could not generate on its own. In this episode, we explore a distinction that's reshaping competitive advantage but that current assessment systems can't yet see: the gap between workers who've learned to use AI tools effectively and workers who've internalized a fundamentally different judgment architecture for operating in AI-augmented environments. AI-trained workers can do familiar work faster and with higher polish. AI-native workers can do work the first group cannot see how to start. The first group helps you keep pace. The second group operates in problem spaces your competitors aren't yet seeing. We examine why this isn't about age, technical depth, or digital fluency—it's about judgment architecture. Why tool proficiency is commoditizing while AI-native judgment is differentiating. And why the performance gap between these two groups becomes a chasm under five specific conditions: novel problems, ethical trade-offs, high-stakes decisions, stakeholder scrutiny, and error detection. This is episode three in our four-part series on workforce development in the AI era. If you've been wondering why some team members seem to extract exponentially more value from the same AI tools everyone else is using, this conversation reveals what's actually happening—and what it means for your organization and career. Key Questions We Explore: Why most AI training teaches tool operation but not judgment When speed without judgment becomes a liability Why knowing when NOT to use AI may be the highest-leverage skill How the gap is widening as AI capability expands What it takes to actually build AI-native capability (hint: workshops don't cut it) Mon, 24 Aug 2026 21:59:58 -0000 AI-Trained vs. AI-Native Workers: The Hidden Performance Gap full 450 WRKdefined Podcast Network Fifteen analysts. Same AI tools. Same two-hour deadline. Same acquisition target to evaluate. Twelve recommended moving forward. Three recommended walking away. The target company had a quietly fatal regulatory flaw that would have made the acquisition unviable—but catching it required connecting information across domains the AI tools weren't designed to synthesize. The three who caught it didn't have better AI tools. They asked different questions—questions the AI could help answer but could not generate on its own. In this episode, we explore a distinction that's reshaping competitive advantage but that current assessment systems can't yet see: the gap between workers who've learned to use AI tools effectively and workers who've internalized a fundamentally different judgment architecture for operating in AI-augmented environments. AI-trained workers can do familiar work faster and with higher polish. AI-native workers can do work the first group cannot see how to start. The first group helps you keep pace. The second group operates in problem spaces your competitors aren't yet seeing. We examine why this isn't about age, technical depth, or digital fluency—it's about judgment architecture. Why tool proficiency is commoditizing while AI-native judgment is differentiating. And why the performance gap between these two groups becomes a chasm under five specific conditions: novel problems, ethical trade-offs, high-stakes decisions, stakeholder scrutiny, and error detection. This is episode three in our four-part series on workforce development in the AI era. If you've been wondering why some team members seem to extract exponentially more value from the same AI tools everyone else is using, this conversation reveals what's actually happening—and what it means for your organization and career. Key Questions We Explore: Why most AI training teaches tool operation but not judgment When speed without judgment becomes a liability Why knowing when NOT to use AI may be the highest-leverage skill How the gap is widening as AI capability expands What it takes to actually build AI-native capability (hint: workshops don't cut it) Fifteen analysts. Same AI tools. Same two-hour deadline. Same acquisition target to evaluate. Twelve recommended moving forward. Three recommended walking away. The target company had a quietly fatal regulatory flaw that would have made the acquisition unviable—but catching it required connecting information across domains the AI tools weren't designed to synthesize. The three who caught it didn't have better AI tools. They asked different questions—questions the AI could help answer but could not generate on its own. In this episode, we explore a distinction that's reshaping competitive advantage but that current assessment systems can't yet see: the gap between workers who've learned to use AI tools effectively and workers who've internalized a fundamentally different judgment architecture for operating in AI-augmented environments. AI-trained workers can do familiar work faster and with higher polish. AI-native workers can do work the first group cannot see how to start. The first group helps you keep pace. The second group operates in problem spaces your competitors aren't yet seeing. We examine why this isn't about age, technical depth, or digital fluency—it's about judgment architecture. Why tool proficiency is commoditizing while AI-native judgment is differentiating. And why the performance gap between these two groups becomes a chasm under five specific conditions: novel problems, ethical trade-offs, high-stakes decisions, stakeholder scrutiny, and error detection. This is episode three in our four-part series on workforce development in the AI era. If you've been wondering why some team members seem to extract exponentially more value from the same AI tools everyone else is using, this conversation reveals what's actually happening—and what it means for your organization and career. Key Questions We Explore: Why most AI training teaches tool operation but not judgment When speed without judgment becomes a liability Why knowing when NOT to use AI may be the highest-leverage skill How the gap is widening as AI capability expands What it takes to actually build AI-native capability (hint: workshops don't cut it) Fifteen analysts. Same AI tools. Same two-hour deadline. Same acquisition target to evaluate.

Twelve recommended moving forward. Three recommended walking away. The target company had a quietly fatal regulatory flaw that would have made the acquisition unviable—but catching it required connecting information across domains the AI tools weren't designed to synthesize.

The three who caught it didn't have better AI tools. They asked different questions—questions the AI could help answer but could not generate on its own.

In this episode, we explore a distinction that's reshaping competitive advantage but that current assessment systems can't yet see: the gap between workers who've learned to use AI tools effectively and workers who've internalized a fundamentally different judgment architecture for operating in AI-augmented environments.

AI-trained workers can do familiar work faster and with higher polish. AI-native workers can do work the first group cannot see how to start. The first group helps you keep pace. The second group operates in problem spaces your competitors aren't yet seeing.

We examine why this isn't about age, technical depth, or digital fluency—it's about judgment architecture. Why tool proficiency is commoditizing while AI-native judgment is differentiating. And why the performance gap between these two groups becomes a chasm under five specific conditions: novel problems, ethical trade-offs, high-stakes decisions, stakeholder scrutiny, and error detection.

This is episode three in our four-part series on workforce development in the AI era. If you've been wondering why some team members seem to extract exponentially more value from the same AI tools everyone else is using, this conversation reveals what's actually happening—and what it means for your organization and career.

Key Questions We Explore:

  • Why most AI training teaches tool operation but not judgment
  • When speed without judgment becomes a liability
  • Why knowing when NOT to use AI may be the highest-leverage skill
  • How the gap is widening as AI capability expands
  • What it takes to actually build AI-native capability (hint: workshops don't cut it)
]]> 1261 no From Credentials to Competencies: Why Your Resume Is Losing Its Power https://futurestateuniversity.podbean.com/e/from-credentials-to-competencies-why-your-resume-is-losing-its-power/ A Fortune 100 talent leader recently admitted something shocking: her team stopped reading resumes for entry-level roles. Not deprioritized them—stopped reading them entirely. The data was clear: GPA, institution prestige, and prior employer names predicted first-year performance about as well as flipping a coin. Welcome to episode two of our series on workforce development in the AI era, where we confront an uncomfortable truth: the artifacts that have organized hiring for a century are quietly breaking down. And generative AI—which can produce a polished, keyword-optimized resume in under a minute—is accelerating the collapse of an already-strained system. In this episode, we explore why credentials, resumes, and degree requirements are losing their predictive power, and what selection science actually tells us about identifying talent. Spoiler: the methods that work best have been validated for decades, yet most organizations still don't use them. We dig into the validity gap—why structured interviews, work samples, and cognitive assessments consistently outperform credential screens, yet remain underused. We examine what it costs organizations to keep hiring on weak signals, including the "hidden workers" with real capability but nonstandard backgrounds who get systematically filtered out. And we look at evidence-based alternatives, from removing unjustified degree requirements to capability-based workforce architecture. But here's the tension: even the best reforms improve the signal problem without solving deeper challenges around measurement, portability, and governance. As assessment moves toward continuous evaluation and AI-mediated hiring, a second validity gap is opening—and most organizations aren't ready for it. Episode Highlights: Why degree requirements correlate weakly with actual job performance The four converging pressures destroying resume reliability Selection science's best-kept secret: what actually predicts success From Google to Unilever: evidence-based hiring at scale The construct problem, the distribution problem, and what comes next Mon, 24 Aug 2026 21:59:15 -0000 From Credentials to Competencies: Why Your Resume Is Losing Its Power full 449 WRKdefined Podcast Network A Fortune 100 talent leader recently admitted something shocking: her team stopped reading resumes for entry-level roles. Not deprioritized them—stopped reading them entirely. The data was clear: GPA, institution prestige, and prior employer names predicted first-year performance about as well as flipping a coin. Welcome to episode two of our series on workforce development in the AI era, where we confront an uncomfortable truth: the artifacts that have organized hiring for a century are quietly breaking down. And generative AI—which can produce a polished, keyword-optimized resume in under a minute—is accelerating the collapse of an already-strained system. In this episode, we explore why credentials, resumes, and degree requirements are losing their predictive power, and what selection science actually tells us about identifying talent. Spoiler: the methods that work best have been validated for decades, yet most organizations still don't use them. We dig into the validity gap—why structured interviews, work samples, and cognitive assessments consistently outperform credential screens, yet remain underused. We examine what it costs organizations to keep hiring on weak signals, including the "hidden workers" with real capability but nonstandard backgrounds who get systematically filtered out. And we look at evidence-based alternatives, from removing unjustified degree requirements to capability-based workforce architecture. But here's the tension: even the best reforms improve the signal problem without solving deeper challenges around measurement, portability, and governance. As assessment moves toward continuous evaluation and AI-mediated hiring, a second validity gap is opening—and most organizations aren't ready for it. Episode Highlights: Why degree requirements correlate weakly with actual job performance The four converging pressures destroying resume reliability Selection science's best-kept secret: what actually predicts success From Google to Unilever: evidence-based hiring at scale The construct problem, the distribution problem, and what comes next A Fortune 100 talent leader recently admitted something shocking: her team stopped reading resumes for entry-level roles. Not deprioritized them—stopped reading them entirely. The data was clear: GPA, institution prestige, and prior employer names predicted first-year performance about as well as flipping a coin. Welcome to episode two of our series on workforce development in the AI era, where we confront an uncomfortable truth: the artifacts that have organized hiring for a century are quietly breaking down. And generative AI—which can produce a polished, keyword-optimized resume in under a minute—is accelerating the collapse of an already-strained system. In this episode, we explore why credentials, resumes, and degree requirements are losing their predictive power, and what selection science actually tells us about identifying talent. Spoiler: the methods that work best have been validated for decades, yet most organizations still don't use them. We dig into the validity gap—why structured interviews, work samples, and cognitive assessments consistently outperform credential screens, yet remain underused. We examine what it costs organizations to keep hiring on weak signals, including the "hidden workers" with real capability but nonstandard backgrounds who get systematically filtered out. And we look at evidence-based alternatives, from removing unjustified degree requirements to capability-based workforce architecture. But here's the tension: even the best reforms improve the signal problem without solving deeper challenges around measurement, portability, and governance. As assessment moves toward continuous evaluation and AI-mediated hiring, a second validity gap is opening—and most organizations aren't ready for it. Episode Highlights: Why degree requirements correlate weakly with actual job performance The four converging pressures destroying resume reliability Selection science's best-kept secret: what actually predicts success From Google to Unilever: evidence-based hiring at scale The construct problem, the distribution problem, and what comes next A Fortune 100 talent leader recently admitted something shocking: her team stopped reading resumes for entry-level roles. Not deprioritized them—stopped reading them entirely. The data was clear: GPA, institution prestige, and prior employer names predicted first-year performance about as well as flipping a coin.

Welcome to episode two of our series on workforce development in the AI era, where we confront an uncomfortable truth: the artifacts that have organized hiring for a century are quietly breaking down. And generative AI—which can produce a polished, keyword-optimized resume in under a minute—is accelerating the collapse of an already-strained system.

In this episode, we explore why credentials, resumes, and degree requirements are losing their predictive power, and what selection science actually tells us about identifying talent. Spoiler: the methods that work best have been validated for decades, yet most organizations still don't use them.

We dig into the validity gap—why structured interviews, work samples, and cognitive assessments consistently outperform credential screens, yet remain underused. We examine what it costs organizations to keep hiring on weak signals, including the "hidden workers" with real capability but nonstandard backgrounds who get systematically filtered out. And we look at evidence-based alternatives, from removing unjustified degree requirements to capability-based workforce architecture.

But here's the tension: even the best reforms improve the signal problem without solving deeper challenges around measurement, portability, and governance. As assessment moves toward continuous evaluation and AI-mediated hiring, a second validity gap is opening—and most organizations aren't ready for it.

Episode Highlights:

  • Why degree requirements correlate weakly with actual job performance
  • The four converging pressures destroying resume reliability
  • Selection science's best-kept secret: what actually predicts success
  • From Google to Unilever: evidence-based hiring at scale
  • The construct problem, the distribution problem, and what comes next
]]> 1362 no Navigating the Durable Skills Crisis: Why Your Training Programs Aren't Working https://futurestateuniversity.podbean.com/e/navigating-the-durable-skills-crisis-why-your-training-programs-arent-working/ Technical skills you learned five years ago are already obsolete. Your software stack has changed. Your marketing strategies have evolved. Even healthcare protocols have been completely transformed. So why are we still developing workforce capabilities like it's 2010? In this episode, we dive into the uncomfortable truth about modern workforce development: the entire infrastructure for training, measuring, and credentialing human capability was designed for a world that no longer exists. While organizations pour billions into training programs, certifications, and corporate universities, the capability gaps keep widening. Join us as we explore why the skills that matter most—learning agility, adaptive problem-solving, collaborative sense-making—are precisely the ones our systems can't measure or develop effectively. We'll unpack the measurement paradox, the practice paradox, and the credential trap that keeps organizations stuck in outdated development models. This is the first episode in our four-part series examining the future of workforce development in an AI-transformed economy. Whether you're a leader struggling with talent gaps, an educator rethinking learning design, or a professional navigating continuous disruption, this conversation will challenge how you think about human capability in the age of AI. Episode Highlights: Why technical skills depreciate faster than we can train them The invisible crisis: durable capabilities vs. credentials How psychological safety determines who can actually learn at work The emerging divide between AI-trained and AI-native workers What 90% skill obsolescence in 10 years means for your career Mon, 24 Aug 2026 21:58:26 -0000 Navigating the Durable Skills Crisis: Why Your Training Programs Aren't Working full 448 WRKdefined Podcast Network Technical skills you learned five years ago are already obsolete. Your software stack has changed. Your marketing strategies have evolved. Even healthcare protocols have been completely transformed. So why are we still developing workforce capabilities like it's 2010? In this episode, we dive into the uncomfortable truth about modern workforce development: the entire infrastructure for training, measuring, and credentialing human capability was designed for a world that no longer exists. While organizations pour billions into training programs, certifications, and corporate universities, the capability gaps keep widening. Join us as we explore why the skills that matter most—learning agility, adaptive problem-solving, collaborative sense-making—are precisely the ones our systems can't measure or develop effectively. We'll unpack the measurement paradox, the practice paradox, and the credential trap that keeps organizations stuck in outdated development models. This is the first episode in our four-part series examining the future of workforce development in an AI-transformed economy. Whether you're a leader struggling with talent gaps, an educator rethinking learning design, or a professional navigating continuous disruption, this conversation will challenge how you think about human capability in the age of AI. Episode Highlights: Why technical skills depreciate faster than we can train them The invisible crisis: durable capabilities vs. credentials How psychological safety determines who can actually learn at work The emerging divide between AI-trained and AI-native workers What 90% skill obsolescence in 10 years means for your career Technical skills you learned five years ago are already obsolete. Your software stack has changed. Your marketing strategies have evolved. Even healthcare protocols have been completely transformed. So why are we still developing workforce capabilities like it's 2010? In this episode, we dive into the uncomfortable truth about modern workforce development: the entire infrastructure for training, measuring, and credentialing human capability was designed for a world that no longer exists. While organizations pour billions into training programs, certifications, and corporate universities, the capability gaps keep widening. Join us as we explore why the skills that matter most—learning agility, adaptive problem-solving, collaborative sense-making—are precisely the ones our systems can't measure or develop effectively. We'll unpack the measurement paradox, the practice paradox, and the credential trap that keeps organizations stuck in outdated development models. This is the first episode in our four-part series examining the future of workforce development in an AI-transformed economy. Whether you're a leader struggling with talent gaps, an educator rethinking learning design, or a professional navigating continuous disruption, this conversation will challenge how you think about human capability in the age of AI. Episode Highlights: Why technical skills depreciate faster than we can train them The invisible crisis: durable capabilities vs. credentials How psychological safety determines who can actually learn at work The emerging divide between AI-trained and AI-native workers What 90% skill obsolescence in 10 years means for your career Technical skills you learned five years ago are already obsolete. Your software stack has changed. Your marketing strategies have evolved. Even healthcare protocols have been completely transformed. So why are we still developing workforce capabilities like it's 2010?

In this episode, we dive into the uncomfortable truth about modern workforce development: the entire infrastructure for training, measuring, and credentialing human capability was designed for a world that no longer exists. While organizations pour billions into training programs, certifications, and corporate universities, the capability gaps keep widening.

Join us as we explore why the skills that matter most—learning agility, adaptive problem-solving, collaborative sense-making—are precisely the ones our systems can't measure or develop effectively. We'll unpack the measurement paradox, the practice paradox, and the credential trap that keeps organizations stuck in outdated development models.

This is the first episode in our four-part series examining the future of workforce development in an AI-transformed economy. Whether you're a leader struggling with talent gaps, an educator rethinking learning design, or a professional navigating continuous disruption, this conversation will challenge how you think about human capability in the age of AI.

Episode Highlights:

  • Why technical skills depreciate faster than we can train them
  • The invisible crisis: durable capabilities vs. credentials
  • How psychological safety determines who can actually learn at work
  • The emerging divide between AI-trained and AI-native workers
  • What 90% skill obsolescence in 10 years means for your career
]]> 1424 no AI As A ”Cognitive Acid Test” for Leaders, with Eric Saylors https://futurestateuniversity.podbean.com/e/ai-as-a-cognitive-acid-test-for-leaders-with-eric-saylors/ In this podcast episode, Dr. Jonathan H. Westover talks with Eric Saylors about how AI is a "cognitive acid test" for leaders. Eric Saylors is the author of Quantifying a Negative (2015), Sense Making in Risk Assessments (2022), and The 7-Year Active Shooter Study (2026). He is a Fire Chief with over 30 years of experience and holds a Doctorate in Leadership from the University of Southern California. In addition to serving as Product Lead for HEN Technologies, Eric currently serves as Fire Chief of the El Cerrito–Kensington Fire Department, having previously spent 25 years with the Sacramento City Fire Department. Over the course of his career, he has served in every rank from firefighter/paramedic to Fire Chief, including engineer, captain, battalion chief, and assistant chief. His operational experience includes assignments on ambulances, fire engines, ladder trucks, a Type 1 HazMat team, and a heavy rescue unit. He has responded to and managed a wide range of incidents, including high-rise fires, large commercial fires, wildland-urban interface incidents, basement fires, and balloon-frame construction fires. Prior to joining executive leadership, he served as Battalion Chief 1 in downtown Sacramento, one of the busiest operational areas in the region. In addition to his doctorate, Chief Saylors holds two associate degrees, a bachelor’s degree in finance, and a master’s degree in Security Studies from the Naval Postgraduate School. He regularly consults with fire departments nationwide on active shooter response, leadership development, succession planning, and post-incident analysis, and has published more than twenty articles on homeland security and fire service topics. Wed, 05 Aug 2026 06:00:00 -0000 AI As A ”Cognitive Acid Test” for Leaders, with Eric Saylors full WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Eric Saylors about how AI is a "cognitive acid test" for leaders. Eric Saylors is the author of Quantifying a Negative (2015), Sense Making in Risk Assessments (2022), and The 7-Year Active Shooter Study (2026). He is a Fire Chief with over 30 years of experience and holds a Doctorate in Leadership from the University of Southern California. In addition to serving as Product Lead for HEN Technologies, Eric currently serves as Fire Chief of the El Cerrito–Kensington Fire Department, having previously spent 25 years with the Sacramento City Fire Department. Over the course of his career, he has served in every rank from firefighter/paramedic to Fire Chief, including engineer, captain, battalion chief, and assistant chief. His operational experience includes assignments on ambulances, fire engines, ladder trucks, a Type 1 HazMat team, and a heavy rescue unit. He has responded to and managed a wide range of incidents, including high-rise fires, large commercial fires, wildland-urban interface incidents, basement fires, and balloon-frame construction fires. Prior to joining executive leadership, he served as Battalion Chief 1 in downtown Sacramento, one of the busiest operational areas in the region. In addition to his doctorate, Chief Saylors holds two associate degrees, a bachelor’s degree in finance, and a master’s degree in Security Studies from the Naval Postgraduate School. He regularly consults with fire departments nationwide on active shooter response, leadership development, succession planning, and post-incident analysis, and has published more than twenty articles on homeland security and fire service topics. In this podcast episode, Dr. Jonathan H. Westover talks with Eric Saylors about how AI is a "cognitive acid test" for leaders. Eric Saylors is the author of Quantifying a Negative (2015), Sense Making in Risk Assessments (2022), and The 7-Year Active Shooter Study (2026). He is a Fire Chief with over 30 years of experience and holds a Doctorate in Leadership from the University of Southern California. In addition to serving as Product Lead for HEN Technologies, Eric currently serves as Fire Chief of the El Cerrito–Kensington Fire Department, having previously spent 25 years with the Sacramento City Fire Department. Over the course of his career, he has served in every rank from firefighter/paramedic to Fire Chief, including engineer, captain, battalion chief, and assistant chief. His operational experience includes assignments on ambulances, fire engines, ladder trucks, a Type 1 HazMat team, and a heavy rescue unit. He has responded to and managed a wide range of incidents, including high-rise fires, large commercial fires, wildland-urban interface incidents, basement fires, and balloon-frame construction fires. Prior to joining executive leadership, he served as Battalion Chief 1 in downtown Sacramento, one of the busiest operational areas in the region. In addition to his doctorate, Chief Saylors holds two associate degrees, a bachelor’s degree in finance, and a master’s degree in Security Studies from the Naval Postgraduate School. He regularly consults with fire departments nationwide on active shooter response, leadership development, succession planning, and post-incident analysis, and has published more than twenty articles on homeland security and fire service topics. 1419 no The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace, with Larry Durham https://futurestateuniversity.podbean.com/e/the-judgment-void-how-ai-is-dismantling-the-one-human-capability-it-cannot-replace-with-larry-durham/ In this podcast episode, Dr. Jonathan H. Westover talks with Larry Durham about his new book, The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace. Larry Durham is President of St. Charles Consulting Group and a recognized leader in enterprise learning and talent development. Over 30years, he has partnered with large professional services firms and Fortune 500companies to build innovative talent solutions that deliver measurable results. Before founding St. Charles, Larry spent a decade at PwC as Learning Practice Leader within Human Capital Advisory Services. He is also co-author of The Talent-Fueled Enterprise. Wed, 22 Jul 2026 06:00:00 -0000 The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace, with Larry Durham full 446 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Larry Durham about his new book, The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace. Larry Durham is President of St. Charles Consulting Group and a recognized leader in enterprise learning and talent development. Over 30years, he has partnered with large professional services firms and Fortune 500companies to build innovative talent solutions that deliver measurable results. Before founding St. Charles, Larry spent a decade at PwC as Learning Practice Leader within Human Capital Advisory Services. He is also co-author of The Talent-Fueled Enterprise. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Larry Durham about his new book, The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace. Larry Durham is President of St. Charles Consulting Group and a recognized leader in enterprise learning and talent development. Over 30years, he has partnered with large professional services firms and Fortune 500companies to build innovative talent solutions that deliver measurable results. Before founding St. Charles, Larry spent a decade at PwC as Learning Practice Leader within Human Capital Advisory Services. He is also co-author of The Talent-Fueled Enterprise. In this podcast episode, Dr. Jonathan H. Westover talks with Larry Durham about his new book, The Judgment Void: How AI Is Dismantling the One Human Capability It Cannot Replace.

Larry Durham is President of St. Charles Consulting Group and a recognized leader in enterprise learning and talent development. Over 30years, he has partnered with large professional services firms and Fortune 500companies to build innovative talent solutions that deliver measurable results. Before founding St. Charles, Larry spent a decade at PwC as Learning Practice Leader within Human Capital Advisory Services. He is also co-author of The Talent-Fueled Enterprise.

]]> 1631 no A Roadmap for the Embracing of Agentic AI into HR by 2030, with Kathi Enderes https://futurestateuniversity.podbean.com/e/a-roadmap-for-the-embracing-of-agentic-ai-into-hr-by-2030-with-kathi-enderes/ In this podcast episode, Dr. Jonathan H. Westover talks with Kathi Enderes about The Josh Bersin Company roadmap for the embracing of agentic AI into HR by 2030. Kathi Enderes is Senior Vice President of Research and a global industry analyst at the human capital advisory firm The Josh Bersin Company, the world's largest community for HR. She has over 20 years global experience in human capital, talent and performance management, and change management from consulting with IBM, PwC and EY and industry, working with companies of various sizes, from Fortune 50 companies to start ups, in multiple industries including technology and healthcare, and leading research on all topics of HR, talent and technology. She is passionate about making work better and more meaningful. Wed, 15 Jul 2026 06:00:00 -0000 A Roadmap for the Embracing of Agentic AI into HR by 2030, with Kathi Enderes full 445 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Kathi Enderes about The Josh Bersin Company roadmap for the embracing of agentic AI into HR by 2030. Kathi Enderes is Senior Vice President of Research and a global industry analyst at the human capital advisory firm The Josh Bersin Company, the world’s largest community for HR. She has over 20 years global experience in human capital, talent and performance management, and change management from consulting with IBM, PwC and EY and industry, working with companies of various sizes, from Fortune 50 companies to start ups, in multiple industries including technology and healthcare, and leading research on all topics of HR, talent and technology. She is passionate about making work better and more meaningful.  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Kathi Enderes about The Josh Bersin Company roadmap for the embracing of agentic AI into HR by 2030. Kathi Enderes is Senior Vice President of Research and a global industry analyst at the human capital advisory firm The Josh Bersin Company, the world's largest community for HR. She has over 20 years global experience in human capital, talent and performance management, and change management from consulting with IBM, PwC and EY and industry, working with companies of various sizes, from Fortune 50 companies to start ups, in multiple industries including technology and healthcare, and leading research on all topics of HR, talent and technology. She is passionate about making work better and more meaningful. In this podcast episode, Dr. Jonathan H. Westover talks with Kathi Enderes about The Josh Bersin Company roadmap for the embracing of agentic AI into HR by 2030.

Kathi Enderes is Senior Vice President of Research and a global industry analyst at the human capital advisory firm The Josh Bersin Company, the world's largest community for HR. She has over 20 years global experience in human capital, talent and performance management, and change management from consulting with IBM, PwC and EY and industry, working with companies of various sizes, from Fortune 50 companies to start ups, in multiple industries including technology and healthcare, and leading research on all topics of HR, talent and technology. She is passionate about making work better and more meaningful.

]]> 1539 no Why AI’s Productivity Promise Isn’t Materializing, with Keith Metcalfe https://futurestateuniversity.podbean.com/e/why-ai-s-productivity-promise-isn-t-materializing-with-keith-metcalfe/ In this podcast episode, Dr. Jonathan H. Westover talks with Keith Metcalfe about why AI's productivity promise isn't materializing. Keith Metcalfe, President at Acorn, is a 25-year enterprise software operator with a practical lens on scaling organizations through skill development, not just technology for its own sake. At Acorn, his philosophy centers on tying learning and performance management together, making sure that technology adoption improves capability and backs up top-down promises with measurable, positive outcomes. Thu, 02 Jul 2026 06:00:00 -0000 Why AI’s Productivity Promise Isn’t Materializing, with Keith Metcalfe full 442 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Keith Metcalfe about why AI’s productivity promise isn’t materializing. Keith Metcalfe, President at Acorn, is a 25-year enterprise software operator with a practical lens on scaling organizations through skill development, not just technology for its own sake. At Acorn, his philosophy centers on tying learning and performance management together, making sure that technology adoption improves capability and backs up top-down promises with measurable, positive outcomes. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Keith Metcalfe about why AI's productivity promise isn't materializing. Keith Metcalfe, President at Acorn, is a 25-year enterprise software operator with a practical lens on scaling organizations through skill development, not just technology for its own sake. At Acorn, his philosophy centers on tying learning and performance management together, making sure that technology adoption improves capability and backs up top-down promises with measurable, positive outcomes. In this podcast episode, Dr. Jonathan H. Westover talks with Keith Metcalfe about why AI's productivity promise isn't materializing.

Keith Metcalfe, President at Acorn, is a 25-year enterprise software operator with a practical lens on scaling organizations through skill development, not just technology for its own sake. At Acorn, his philosophy centers on tying learning and performance management together, making sure that technology adoption improves capability and backs up top-down promises with measurable, positive outcomes.

]]> 1421 no Personalized Adaptive Workplace Learning and Assessment, with Luis Garcia https://futurestateuniversity.podbean.com/e/personalized-adaptive-workplace-learning-and-assessment-with-luis-garcia/ In this podcast episode, Dr. Jonathan H. Westover talks with Luis Garcia about personalized adaptive workplace learning and assessment. Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources. Wed, 24 Jun 2026 06:00:00 -0000 Personalized Adaptive Workplace Learning and Assessment, with Luis Garcia full 433 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Luis Garcia about personalized adaptive workplace learning and assessment. Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Luis Garcia about personalized adaptive workplace learning and assessment. Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources. In this podcast episode, Dr. Jonathan H. Westover talks with Luis Garcia about personalized adaptive workplace learning and assessment.

Luis Garcia is a seasoned international executive with over 25 years of experience in technology, digital media, and education. He specializes in driving new ventures and products to rapid growth by building effective teams that harness innovation, technology, and creativity to solve complex problems. He is the president of PETE, an Orlando-based tech startup that offers a suite of cost-effective and customizable solutions that enable organizations to deliver personalized workforce learning at scale. The PETE team is dedicated to harnessing the power of AI to help organizations of all sizes optimize their training initiatives, spanning from onboarding to regulatory compliance, product knowledge, technical skills, and more, without hiring additional training resources.

]]> 1133 no Why We Need More Learners Instead of Knowers in the Workplace, with Aiko Bethea https://futurestateuniversity.podbean.com/e/why-we-need-more-learners-instead-of-knowers-in-the-workplace-with-aiko-bethea/ In this podcast episode, Dr. Jonathan H. Westover talks with Aiko Bethea about why we need more learners instead of knowers in the workplace. Aiko Bethea is a leader, builder and connector who has successfully navigated leadership roles in government, philanthropic, nonprofit and private sectors. The founder of RARE Coaching & Consulting, Aiko guides leaders and organizations, including Fortune 100 companies and global nonprofit organizations, to remove barriers to inclusion. She has been recognized by Forbes as one of the top seven anti-racism educators for companies and is a senior equity consultant for the Brené Brown Education and Research Group. Find her new book here. Wed, 13 May 2026 06:00:00 -0000 Why We Need More Learners Instead of Knowers in the Workplace, with Aiko Bethea full 434 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Aiko Bethea about why we need more learners instead of knowers in the workplace. Aiko Bethea is a leader, builder and connector who has successfully navigated leadership roles in government, philanthropic, nonprofit and private sectors. The founder of RARE Coaching & Consulting, Aiko guides leaders and organizations, including Fortune 100 companies and global nonprofit organizations, to remove barriers to inclusion. She has been recognized by Forbes as one of the top seven anti-racism educators for companies and is a senior equity consultant for the Brené Brown Education and Research Group. Find her new book here. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Aiko Bethea about why we need more learners instead of knowers in the workplace. Aiko Bethea is a leader, builder and connector who has successfully navigated leadership roles in government, philanthropic, nonprofit and private sectors. The founder of RARE Coaching & Consulting, Aiko guides leaders and organizations, including Fortune 100 companies and global nonprofit organizations, to remove barriers to inclusion. She has been recognized by Forbes as one of the top seven anti-racism educators for companies and is a senior equity consultant for the Brené Brown Education and Research Group. Find her new book here. In this podcast episode, Dr. Jonathan H. Westover talks with Aiko Bethea about why we need more learners instead of knowers in the workplace.

Aiko Bethea is a leader, builder and connector who has successfully navigated leadership roles in government, philanthropic, nonprofit and private sectors. The founder of RARE Coaching & Consulting, Aiko guides leaders and organizations, including Fortune 100 companies and global nonprofit organizations, to remove barriers to inclusion. She has been recognized by Forbes as one of the top seven anti-racism educators for companies and is a senior equity consultant for the Brené Brown Education and Research Group. Find her new book here.

]]> 1574 no The People Dividend, with Mike Horne https://futurestateuniversity.podbean.com/e/the-people-dividend-with-mike-horne/ In this podcast episode, Dr. Jonathan H. Westover talks with Mike Horne about his book, The People Dividend. Empowering Leaders for Over Three Decades, Mike Horne, Ph.D., is a distinguished global corporate Human Resources and Organization Development leader. As an executive coach, best-selling author, and sought-after speaker, Mike empowers innovation from within and guides executives and their teams to excellence. Wed, 29 Apr 2026 06:00:00 -0000 The People Dividend, with Mike Horne full 424 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Mike Horne about his book, The People Dividend. Empowering Leaders for Over Three Decades, Mike Horne, Ph.D., is a distinguished global corporate Human Resources and Organization Development leader. As an executive coach, best-selling author, and sought-after speaker, Mike empowers innovation from within and guides executives and their teams to excellence. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Mike Horne about his book, The People Dividend. Empowering Leaders for Over Three Decades, Mike Horne, Ph.D., is a distinguished global corporate Human Resources and Organization Development leader. As an executive coach, best-selling author, and sought-after speaker, Mike empowers innovation from within and guides executives and their teams to excellence. In this podcast episode, Dr. Jonathan H. Westover talks with Mike Horne about his book, The People Dividend.

Empowering Leaders for Over Three Decades, Mike Horne, Ph.D., is a distinguished global corporate Human Resources and Organization Development leader. As an executive coach, best-selling author, and sought-after speaker, Mike empowers innovation from within and guides executives and their teams to excellence.

]]> 1331 no How Employee Ownership Helps Our Committees Work Better, with Bret Boudreaux https://futurestateuniversity.podbean.com/e/how-employee-ownership-helps-our-committees-work-better-with-bret-boudreaux/ In this podcast episode, Dr. Jonathan H. Westover talks with Bret Boudreaux about How Employee Ownership Helps Our Committees Work Better. Bret Boudreaux Director of Recruitment and Retention at BL Companies — a multi-disciplinary, employee-owned firm offering services related to architecture, engineering, environmental, and land surveying. In his role, Bret oversees the sourcing, recruiting and hiring of Engineers, Architects, Environmental Scientists and Surveyors for all of BL's 19 locations, and works closely with the firm's Employee Owners on their own professional development and company-wide professional development programming. Bret is Chair of BL's Technical Development Committee and Past-Chair of the ESOP Communications Committee. He is also VP of Programming for the New England Chapter of The ESOP Association. Wed, 22 Apr 2026 06:00:00 -0000 How Employee Ownership Helps Our Committees Work Better, with Bret Boudreaux full 423 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Bret Boudreaux about How Employee Ownership Helps Our Committees Work Better. Bret Boudreaux Director of Recruitment and Retention at BL Companies — a multi-disciplinary, employee-owned firm offering services related to architecture, engineering, environmental, and land surveying. In his role, Bret oversees the sourcing, recruiting and hiring of Engineers, Architects, Environmental Scientists and Surveyors for all of BL’s 19 locations, and works closely with the firm’s Employee Owners on their own professional development and company-wide professional development programming. Bret is Chair of BL’s Technical Development Committee and Past-Chair of the ESOP Communications Committee. He is also VP of Programming for the New England Chapter of The ESOP Association.  See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Bret Boudreaux about How Employee Ownership Helps Our Committees Work Better. Bret Boudreaux Director of Recruitment and Retention at BL Companies — a multi-disciplinary, employee-owned firm offering services related to architecture, engineering, environmental, and land surveying. In his role, Bret oversees the sourcing, recruiting and hiring of Engineers, Architects, Environmental Scientists and Surveyors for all of BL's 19 locations, and works closely with the firm's Employee Owners on their own professional development and company-wide professional development programming. Bret is Chair of BL's Technical Development Committee and Past-Chair of the ESOP Communications Committee. He is also VP of Programming for the New England Chapter of The ESOP Association. In this podcast episode, Dr. Jonathan H. Westover talks with Bret Boudreaux about How Employee Ownership Helps Our Committees Work Better.

Bret Boudreaux Director of Recruitment and Retention at BL Companies — a multi-disciplinary, employee-owned firm offering services related to architecture, engineering, environmental, and land surveying. In his role, Bret oversees the sourcing, recruiting and hiring of Engineers, Architects, Environmental Scientists and Surveyors for all of BL's 19 locations, and works closely with the firm's Employee Owners on their own professional development and company-wide professional development programming. Bret is Chair of BL's Technical Development Committee and Past-Chair of the ESOP Communications Committee. He is also VP of Programming for the New England Chapter of The ESOP Association.

]]> 1303 no Navigating Employee Relations in the Modern World of Work, with Jason Greer https://futurestateuniversity.podbean.com/e/navigating-employee-relations-in-the-modern-world-of-work-with-jason-greer/ In this podcast episode, Dr. Jonathan H. Westover talks with Jason Greer about navigating employee relations in the modern world of work. Jason Greer is the founder and president of Greer Consulting, Inc., a labor management and employee relations consulting firm based in St. Louis. As a nationally recognized expert in the field, Jason is a trusted source of information on the latest race and labor relations news for media outlets including The Wall Street Journal, Forbes, and FOX News Radio. He provides valuable insight into breaking stories such as the George Floyd moment, racial protests, and diversity issues in the workplace. Thu, 16 Apr 2026 06:00:00 -0000 Navigating Employee Relations in the Modern World of Work, with Jason Greer full 400 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Jason Greer about navigating employee relations in the modern world of work. Jason Greer is the founder and president of Greer Consulting, Inc., a labor management and employee relations consulting firm based in St. Louis. As a nationally recognized expert in the field, Jason is a trusted source of information on the latest race and labor relations news for media outlets including The Wall Street Journal, Forbes, and FOX News Radio. He provides valuable insight into breaking stories such as the George Floyd moment, racial protests, and diversity issues in the workplace. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Jason Greer about navigating employee relations in the modern world of work. Jason Greer is the founder and president of Greer Consulting, Inc., a labor management and employee relations consulting firm based in St. Louis. As a nationally recognized expert in the field, Jason is a trusted source of information on the latest race and labor relations news for media outlets including The Wall Street Journal, Forbes, and FOX News Radio. He provides valuable insight into breaking stories such as the George Floyd moment, racial protests, and diversity issues in the workplace. In this podcast episode, Dr. Jonathan H. Westover talks with Jason Greer about navigating employee relations in the modern world of work.

Jason Greer is the founder and president of Greer Consulting, Inc., a labor management and employee relations consulting firm based in St. Louis. As a nationally recognized expert in the field, Jason is a trusted source of information on the latest race and labor relations news for media outlets including The Wall Street Journal, Forbes, and FOX News Radio. He provides valuable insight into breaking stories such as the George Floyd moment, racial protests, and diversity issues in the workplace.

]]> 1131 no I Respectfully Disagree: How to Have Difficult Conversations in a Divided World, with Justin Jones-Fosu https://futurestateuniversity.podbean.com/e/i-respectfully-disagree-how-to-have-difficult-conversations-in-a-divided-world-with-justin-jones-fosu/ In this podcast episode, Dr. Jonathan H. Westover talks with Justin Jones-Fosu about his book, I Respectfully Disagree: How to Have Difficult Conversations in a Divided World. Justin Jones-Fosu is the embodiment of energy, both at home as a dedicated father to two spirited children and atop the world's highest peaks, having recently conquered one of the famed 7 Summits. But Justin's passion for elevation doesn't end with trekking, it's mirrored in his professional ascent as a captivating business speaker, innovative social entrepreneur, and insightful workplace researcher. At the helm of Work. Meaningful., Justin is the driving force and CEO behind a movement that empowers organizations across the globe, delivering over 50 keynote addresses a year on the pivotal topics of meaningful work and inclusion. His mission is to ignite a transformation in corporate culture, guiding organizations and individuals to ascend to their peak potential through mastery of mindset, purpose, and performance. Justin is not only a pathfinder in the wilderness but also in the literary world, authoring essential reads such as "Your WHY Matters NOW," "The Inclusive Mindset," and his latest thought-provoker, “I Respectfully Disagree: How to have Difficult Conversations in a Divided World.” His work is a compass for those seeking direction on creating connections in an often-fragmented society. With a flair for infusing humor into his well-researched content, Justin doesn't just give a speech; he crafts an experience, leaving his audience not just informed but transformed. His approach is not merely to inform but to inspire, not just to direct but to make a difference. Wed, 15 Apr 2026 06:00:00 -0000 I Respectfully Disagree: How to Have Difficult Conversations in a Divided World, with Justin Jones-Fosu full 422 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Justin Jones-Fosu about his book, I Respectfully Disagree: How to Have Difficult Conversations in a Divided World. Justin Jones-Fosu is the embodiment of energy, both at home as a dedicated father to two spirited children and atop the world’s highest peaks, having recently conquered one of the famed 7 Summits. But Justin’s passion for elevation doesn’t end with trekking, it’s mirrored in his professional ascent as a captivating business speaker, innovative social entrepreneur, and insightful workplace researcher. At the helm of Work. Meaningful., Justin is the driving force and CEO behind a movement that empowers organizations across the globe, delivering over 50 keynote addresses a year on the pivotal topics of meaningful work and inclusion. His mission is to ignite a transformation in corporate culture, guiding organizations and individuals to ascend to their peak potential through mastery of mindset, purpose, and performance. Justin is not only a pathfinder in the wilderness but also in the literary world, authoring essential reads such as "Your WHY Matters NOW," "The Inclusive Mindset," and his latest thought-provoker, “I Respectfully Disagree: How to have Difficult Conversations in a Divided World.” His work is a compass for those seeking direction on creating connections in an often-fragmented society. With a flair for infusing humor into his well-researched content, Justin doesn’t just give a speech; he crafts an experience, leaving his audience not just informed but transformed. His approach is not merely to inform but to inspire, not just to direct but to make a difference. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Justin Jones-Fosu about his book, I Respectfully Disagree: How to Have Difficult Conversations in a Divided World. Justin Jones-Fosu is the embodiment of energy, both at home as a dedicated father to two spirited children and atop the world's highest peaks, having recently conquered one of the famed 7 Summits. But Justin's passion for elevation doesn't end with trekking, it's mirrored in his professional ascent as a captivating business speaker, innovative social entrepreneur, and insightful workplace researcher. At the helm of Work. Meaningful., Justin is the driving force and CEO behind a movement that empowers organizations across the globe, delivering over 50 keynote addresses a year on the pivotal topics of meaningful work and inclusion. His mission is to ignite a transformation in corporate culture, guiding organizations and individuals to ascend to their peak potential through mastery of mindset, purpose, and performance. Justin is not only a pathfinder in the wilderness but also in the literary world, authoring essential reads such as "Your WHY Matters NOW," "The Inclusive Mindset," and his latest thought-provoker, “I Respectfully Disagree: How to have Difficult Conversations in a Divided World.” His work is a compass for those seeking direction on creating connections in an often-fragmented society. With a flair for infusing humor into his well-researched content, Justin doesn't just give a speech; he crafts an experience, leaving his audience not just informed but transformed. His approach is not merely to inform but to inspire, not just to direct but to make a difference. In this podcast episode, Dr. Jonathan H. Westover talks with Justin Jones-Fosu about his book, I Respectfully Disagree: How to Have Difficult Conversations in a Divided World.

Justin Jones-Fosu is the embodiment of energy, both at home as a dedicated father to two spirited children and atop the world's highest peaks, having recently conquered one of the famed 7 Summits. But Justin's passion for elevation doesn't end with trekking, it's mirrored in his professional ascent as a captivating business speaker, innovative social entrepreneur, and insightful workplace researcher. At the helm of Work. Meaningful., Justin is the driving force and CEO behind a movement that empowers organizations across the globe, delivering over 50 keynote addresses a year on the pivotal topics of meaningful work and inclusion. His mission is to ignite a transformation in corporate culture, guiding organizations and individuals to ascend to their peak potential through mastery of mindset, purpose, and performance. Justin is not only a pathfinder in the wilderness but also in the literary world, authoring essential reads such as "Your WHY Matters NOW," "The Inclusive Mindset," and his latest thought-provoker, “I Respectfully Disagree: How to have Difficult Conversations in a Divided World.” His work is a compass for those seeking direction on creating connections in an often-fragmented society. With a flair for infusing humor into his well-researched content, Justin doesn't just give a speech; he crafts an experience, leaving his audience not just informed but transformed. His approach is not merely to inform but to inspire, not just to direct but to make a difference.

]]> 1601 no The New Executive Skill Set Required for 2026 and Beyond, with Carol Zizzo https://futurestateuniversity.podbean.com/e/the-new-executive-skill-set-required-for-2026-and-beyond-with-carol-zizzo/ In this podcast episode, Dr. Jonathan H. Westover talks with Carol Zizzo about the new executive skill set required for 2026 and beyond. Carol is the CEO of Henley Leadership Group and has been in the field of training and development for since 1991. As an executive coach and trainer, she has a bold, straightforward and passionate approach that produces high-performance results. She is dedicated to professional leadership development that emphasizes living a fulfilled life as a means to create extraordinary fiscal results. Carol is adept at identifying system dynamics and their implications on the task at hand. With a whole systems approach to her work, she supports the leader’s development and partners with him/her to develop the organization. She holds a B.A. in Business and Organization Development and received her executive coaching certification from the Coach Training Institute. By bringing levity, fun and partnership, clients experience ease and relief when tackling big challenges with Carol. Tue, 14 Apr 2026 06:00:00 -0000 The New Executive Skill Set Required for 2026 and Beyond, with Carol Zizzo full 425 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Carol Zizzo about the new executive skill set required for 2026 and beyond. Carol is the CEO of Henley Leadership Group and has been in the field of training and development for since 1991. As an executive coach and trainer, she has a bold, straightforward and passionate approach that produces high-performance results. She is dedicated to professional leadership development that emphasizes living a fulfilled life as a means to create extraordinary fiscal results. Carol is adept at identifying system dynamics and their implications on the task at hand. With a whole systems approach to her work, she supports the leader’s development and partners with him/her to develop the organization. She holds a B.A. in Business and Organization Development and received her executive coaching certification from the Coach Training Institute. By bringing levity, fun and partnership, clients experience ease and relief when tackling big challenges with Carol. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Carol Zizzo about the new executive skill set required for 2026 and beyond. Carol is the CEO of Henley Leadership Group and has been in the field of training and development for since 1991. As an executive coach and trainer, she has a bold, straightforward and passionate approach that produces high-performance results. She is dedicated to professional leadership development that emphasizes living a fulfilled life as a means to create extraordinary fiscal results. Carol is adept at identifying system dynamics and their implications on the task at hand. With a whole systems approach to her work, she supports the leader’s development and partners with him/her to develop the organization. She holds a B.A. in Business and Organization Development and received her executive coaching certification from the Coach Training Institute. By bringing levity, fun and partnership, clients experience ease and relief when tackling big challenges with Carol. In this podcast episode, Dr. Jonathan H. Westover talks with Carol Zizzo about the new executive skill set required for 2026 and beyond.

Carol is the CEO of Henley Leadership Group and has been in the field of training and development for since 1991. As an executive coach and trainer, she has a bold, straightforward and passionate approach that produces high-performance results. She is dedicated to professional leadership development that emphasizes living a fulfilled life as a means to create extraordinary fiscal results. Carol is adept at identifying system dynamics and their implications on the task at hand. With a whole systems approach to her work, she supports the leader’s development and partners with him/her to develop the organization. She holds a B.A. in Business and Organization Development and received her executive coaching certification from the Coach Training Institute. By bringing levity, fun and partnership, clients experience ease and relief when tackling big challenges with Carol.

]]> 1539 no The Definitive Guide to Corporate Learning, with Jordan Hammerstad https://futurestateuniversity.podbean.com/e/the-definitive-guide-to-corporate-learning-with-jordan-hammerstad/ In this podcast episode, Dr. Jonathan H. Westover talks with Jordan Hammerstad about the new report out from the Josh Bersin company, The Definitive Guide to Corporate Learning. Jordan Hammerstad is Associate Director of Research at The Josh Bersin Company, where she leads the L&D Roundtable—an executive forum driving corporate learning innovation. Passionate about the intersection of behavioral sciences and the workplace, she pursued a bachelor's degree in neuroscience before obtaining her master's in human resources. As a certified HR practitioner, Jordan brings experience from multiple industries, including commercial real estate, higher education, industrial automation, retail, and transportation. Her research focuses on learning and development—notably dynamic skilling, performance enablement, and AI-first corporate learning transformations. Tue, 10 Mar 2026 06:00:00 -0000 The Definitive Guide to Corporate Learning, with Jordan Hammerstad full 404 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Jordan Hammerstad about the new report out from the Josh Bersin company, The Definitive Guide to Corporate Learning. Jordan Hammerstad is Associate Director of Research at The Josh Bersin Company, where she leads the L&D Roundtable—an executive forum driving corporate learning innovation. Passionate about the intersection of behavioral sciences and the workplace, she pursued a bachelor’s degree in neuroscience before obtaining her master’s in human resources. As a certified HR practitioner, Jordan brings experience from multiple industries, including commercial real estate, higher education, industrial automation, retail, and transportation. Her research focuses on learning and development—notably dynamic skilling, performance enablement, and AI-first corporate learning transformations. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Jordan Hammerstad about the new report out from the Josh Bersin company, The Definitive Guide to Corporate Learning. Jordan Hammerstad is Associate Director of Research at The Josh Bersin Company, where she leads the L&D Roundtable—an executive forum driving corporate learning innovation. Passionate about the intersection of behavioral sciences and the workplace, she pursued a bachelor's degree in neuroscience before obtaining her master's in human resources. As a certified HR practitioner, Jordan brings experience from multiple industries, including commercial real estate, higher education, industrial automation, retail, and transportation. Her research focuses on learning and development—notably dynamic skilling, performance enablement, and AI-first corporate learning transformations. In this podcast episode, Dr. Jonathan H. Westover talks with Jordan Hammerstad about the new report out from the Josh Bersin company, The Definitive Guide to Corporate Learning.

Jordan Hammerstad is Associate Director of Research at The Josh Bersin Company, where she leads the L&D Roundtable—an executive forum driving corporate learning innovation. Passionate about the intersection of behavioral sciences and the workplace, she pursued a bachelor's degree in neuroscience before obtaining her master's in human resources. As a certified HR practitioner, Jordan brings experience from multiple industries, including commercial real estate, higher education, industrial automation, retail, and transportation. Her research focuses on learning and development—notably dynamic skilling, performance enablement, and AI-first corporate learning transformations.

]]> 1451 no Leveraging Talent to Win in the Future of Work, with Johnathan Grzybowski https://futurestateuniversity.podbean.com/e/leveraging-talent-to-win-in-the-future-of-work-with-johnathan-grzybowski/ In this podcast episode, Dr. Jonathan H. Westover talks with Johnathan Grzybowski about leveraging your organizational talent to win in the future of work. Johnathan Grzybowski is the co-founder of Penji, a creative subscription service that empowers businesses, agencies, and teams with the simplest way to access creative talent. He’s also a storyteller and host of Dear Dads and Free Ideas, where he shares insights on entrepreneurship, leadership, and family life. Wed, 11 Feb 2026 07:00:00 -0000 Leveraging Talent to Win in the Future of Work, with Johnathan Grzybowski full 393 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Johnathan Grzybowski about leveraging your organizational talent to win in the future of work. Johnathan Grzybowski is the co-founder of Penji, a creative subscription service that empowers businesses, agencies, and teams with the simplest way to access creative talent. He’s also a storyteller and host of Dear Dads and Free Ideas, where he shares insights on entrepreneurship, leadership, and family life. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Johnathan Grzybowski about leveraging your organizational talent to win in the future of work. Johnathan Grzybowski is the co-founder of Penji, a creative subscription service that empowers businesses, agencies, and teams with the simplest way to access creative talent. He’s also a storyteller and host of Dear Dads and Free Ideas, where he shares insights on entrepreneurship, leadership, and family life. In this podcast episode, Dr. Jonathan H. Westover talks with Johnathan Grzybowski about leveraging your organizational talent to win in the future of work.

Johnathan Grzybowski is the co-founder of Penji, a creative subscription service that empowers businesses, agencies, and teams with the simplest way to access creative talent. He’s also a storyteller and host of Dear Dads and Free Ideas, where he shares insights on entrepreneurship, leadership, and family life.

]]> 1413 no Performance Management, Workplace Dynamics, and Employer Liabilities, with Mark F. Kluger https://futurestateuniversity.podbean.com/e/performance-management-workplace-dynamics-and-employer-liabilities-with-mark-f-kluger/ In this podcast episode, Dr. Jonathan H. Westover talks with performance management, workplace dynamics, and employer liabilities. Mark F. Kluger practices exclusively in the area of labor and employment law on behalf of employers. For ten years, before founding Kluger Healey, LLC, he was Chairman of the Labor and Employment Department of one of New Jersey’s oldest law firms. Mark is a frequent speaker and writer on sexual harassment and discrimination avoidance, workplace diversity, performance management, union avoidance, and a myriad of other employment-related subjects and regularly conducts training sessions for employers on these critical topics. In addition, Mark has extensive experience in counseling employers on issues involving discipline and discharge, reductions in force, mergers and acquisitions, compliance with wage and hour, disability, COBRA, and family and medical leave laws. He regularly drafts all forms of employment policies and handbooks, severance agreements, employment contracts, non-competition and confidentiality agreements, and affirmative action plans. Mark also represents employers in collective bargaining, grievance arbitration, NLRB proceedings, and picket line issues. Mark graduated from Vassar College in 1984 and Cornell University Law School in 1987. He was an Adjunct Professor at Seton Hall Law School from 1991-1996 and served as a member and President of the Board of Education in North Caldwell, New Jersey from 2002-2008. Wed, 10 Dec 2025 07:00:00 -0000 Performance Management, Workplace Dynamics, and Employer Liabilities, with Mark F. Kluger full 352 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with performance management, workplace dynamics, and employer liabilities. Mark F. Kluger practices exclusively in the area of labor and employment law on behalf of employers. For ten years, before founding Kluger Healey, LLC, he was Chairman of the Labor and Employment Department of one of New Jersey’s oldest law firms. Mark is a frequent speaker and writer on sexual harassment and discrimination avoidance, workplace diversity, performance management, union avoidance, and a myriad of other employment-related subjects and regularly conducts training sessions for employers on these critical topics. In addition, Mark has extensive experience in counseling employers on issues involving discipline and discharge, reductions in force, mergers and acquisitions, compliance with wage and hour, disability, COBRA, and family and medical leave laws. He regularly drafts all forms of employment policies and handbooks, severance agreements, employment contracts, non-competition and confidentiality agreements, and affirmative action plans. Mark also represents employers in collective bargaining, grievance arbitration, NLRB proceedings, and picket line issues. Mark graduated from Vassar College in 1984 and Cornell University Law School in 1987. He was an Adjunct Professor at Seton Hall Law School from 1991-1996 and served as a member and President of the Board of Education in North Caldwell, New Jersey from 2002-2008. Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with performance management, workplace dynamics, and employer liabilities. Mark F. Kluger practices exclusively in the area of labor and employment law on behalf of employers. For ten years, before founding Kluger Healey, LLC, he was Chairman of the Labor and Employment Department of one of New Jersey’s oldest law firms. Mark is a frequent speaker and writer on sexual harassment and discrimination avoidance, workplace diversity, performance management, union avoidance, and a myriad of other employment-related subjects and regularly conducts training sessions for employers on these critical topics. In addition, Mark has extensive experience in counseling employers on issues involving discipline and discharge, reductions in force, mergers and acquisitions, compliance with wage and hour, disability, COBRA, and family and medical leave laws. He regularly drafts all forms of employment policies and handbooks, severance agreements, employment contracts, non-competition and confidentiality agreements, and affirmative action plans. Mark also represents employers in collective bargaining, grievance arbitration, NLRB proceedings, and picket line issues. Mark graduated from Vassar College in 1984 and Cornell University Law School in 1987. He was an Adjunct Professor at Seton Hall Law School from 1991-1996 and served as a member and President of the Board of Education in North Caldwell, New Jersey from 2002-2008. In this podcast episode, Dr. Jonathan H. Westover talks with performance management, workplace dynamics, and employer liabilities.

Mark F. Kluger practices exclusively in the area of labor and employment law on behalf of employers. For ten years, before founding Kluger Healey, LLC, he was Chairman of the Labor and Employment Department of one of New Jersey’s oldest law firms. Mark is a frequent speaker and writer on sexual harassment and discrimination avoidance, workplace diversity, performance management, union avoidance, and a myriad of other employment-related subjects and regularly conducts training sessions for employers on these critical topics. In addition, Mark has extensive experience in counseling employers on issues involving discipline and discharge, reductions in force, mergers and acquisitions, compliance with wage and hour, disability, COBRA, and family and medical leave laws. He regularly drafts all forms of employment policies and handbooks, severance agreements, employment contracts, non-competition and confidentiality agreements, and affirmative action plans. Mark also represents employers in collective bargaining, grievance arbitration, NLRB proceedings, and picket line issues. Mark graduated from Vassar College in 1984 and Cornell University Law School in 1987. He was an Adjunct Professor at Seton Hall Law School from 1991-1996 and served as a member and President of the Board of Education in North Caldwell, New Jersey from 2002-2008.

]]> 1474 no People Management in the Age of AI: The Rise of the Supermanager, with Julia Bersin https://futurestateuniversity.podbean.com/e/people-management-in-the-age-of-ai-the-rise-of-the-supermanager-with-julia-bersin-1786142439/ In this podcast episode, Dr. Jonathan H. Westover talks with Julia Bersin about the recent report out from the Josh Bersin Company, People Management in the Age of AI: The Rise of the Supermanager. Julia Bersin is currently Associate Director, Research at the Josh Bersin Company - studying people practices and technology that help companies transform work for the future. She has a background in B2B tech with a focus on demand gen & growth. She has experience managing multiple functions and teams and marketing to various industries and roles – including HR, TA, Customer Support & Revenue functions. Thu, 04 Dec 2025 07:00:00 -0000 People Management in the Age of AI: The Rise of the Supermanager, with Julia Bersin full 366 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Julia Bersin about the recent report out from the Josh Bersin Company, People Management in the Age of AI: The Rise of the Supermanager. Julia Bersin is currently Associate Director, Research at the Josh Bersin Company - studying people practices and technology that help companies transform work for the future. She has a background in B2B tech with a focus on demand gen & growth. She has experience managing multiple functions and teams and marketing to various industries and roles – including HR, TA, Customer Support & Revenue functions.  Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Julia Bersin about the recent report out from the Josh Bersin Company, People Management in the Age of AI: The Rise of the Supermanager. Julia Bersin is currently Associate Director, Research at the Josh Bersin Company - studying people practices and technology that help companies transform work for the future. She has a background in B2B tech with a focus on demand gen & growth. She has experience managing multiple functions and teams and marketing to various industries and roles – including HR, TA, Customer Support & Revenue functions. In this podcast episode, Dr. Jonathan H. Westover talks with Julia Bersin about the recent report out from the Josh Bersin Company, People Management in the Age of AI: The Rise of the Supermanager.

Julia Bersin is currently Associate Director, Research at the Josh Bersin Company - studying people practices and technology that help companies transform work for the future. She has a background in B2B tech with a focus on demand gen & growth. She has experience managing multiple functions and teams and marketing to various industries and roles – including HR, TA, Customer Support & Revenue functions.

]]> 1591 no Rethinking the Workforce of the Future, with Francoise Brougher https://futurestateuniversity.podbean.com/e/rethinking-the-workforce-of-the-future-with-francoise-brougher/ In this podcast episode, Dr. Jonathan H. Westover talks with Francoise Brougher about rethinking the workforce of the future. Francoise Brougher is a pioneering technology leader with more than 25 years of experience scaling category-defining companies and driving AI-first business transformation. She currently serves as the Chief Executive Officer and Board Member at Pebl (formerly Velocity Global), where she is leading the company’s reinvention as an AI-first global workforce platform. Under her leadership, Pebl is reshaping the Employer of Record industry by combining 10+ years of compliance precision with AI-driven simplicity, speed, and transparency, empowering companies to hire and manage talent across 185+ countries. Francoise has a proven track record of building and scaling global organizations responsible for multi-billion-dollar revenue growth. She took both Square (2015) and Pinterest (2019) public as the executive leader of GTM strategy. Earlier at Google, she scaled SMB Global Sales and Operations into a 15B+ business, pioneering the application of machine learning to customer engagement. She currently serves on the boards of Qonto (Chair, Compensation Committee), Too Good To Go, and as a Board Observer at Alan. She started her career in Japan, working for L'Oreal in a manufacturing plant for three years, where she installed a Computer-Assisted Manufacturing System. After her MBA, she joined Booz Allen and Hamilton in Paris and San Francisco. Thu, 13 Nov 2025 07:00:00 -0000 Rethinking the Workforce of the Future, with Francoise Brougher full 363 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Francoise Brougher about rethinking the workforce of the future. Francoise Brougher is a pioneering technology leader with more than 25 years of experience scaling category-defining companies and driving AI-first business transformation. She currently serves as the Chief Executive Officer and Board Member at Pebl (formerly Velocity Global), where she is leading the company’s reinvention as an AI-first global workforce platform. Under her leadership, Pebl is reshaping the Employer of Record industry by combining 10+ years of compliance precision with AI-driven simplicity, speed, and transparency, empowering companies to hire and manage talent across 185+ countries. Francoise has a proven track record of building and scaling global organizations responsible for multi-billion-dollar revenue growth. She took both Square (2015) and Pinterest (2019) public as the executive leader of GTM strategy. Earlier at Google, she scaled SMB Global Sales and Operations into a 15B+ business, pioneering the application of machine learning to customer engagement. She currently serves on the boards of Qonto (Chair, Compensation Committee), Too Good To Go, and as a Board Observer at Alan. She started her career in Japan, working for L’Oreal in a manufacturing plant for three years, where she installed a Computer-Assisted Manufacturing System. After her MBA, she joined Booz Allen and Hamilton in Paris and San Francisco. Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Francoise Brougher about rethinking the workforce of the future. Francoise Brougher is a pioneering technology leader with more than 25 years of experience scaling category-defining companies and driving AI-first business transformation. She currently serves as the Chief Executive Officer and Board Member at Pebl (formerly Velocity Global), where she is leading the company’s reinvention as an AI-first global workforce platform. Under her leadership, Pebl is reshaping the Employer of Record industry by combining 10+ years of compliance precision with AI-driven simplicity, speed, and transparency, empowering companies to hire and manage talent across 185+ countries. Francoise has a proven track record of building and scaling global organizations responsible for multi-billion-dollar revenue growth. She took both Square (2015) and Pinterest (2019) public as the executive leader of GTM strategy. Earlier at Google, she scaled SMB Global Sales and Operations into a 15B+ business, pioneering the application of machine learning to customer engagement. She currently serves on the boards of Qonto (Chair, Compensation Committee), Too Good To Go, and as a Board Observer at Alan. She started her career in Japan, working for L'Oreal in a manufacturing plant for three years, where she installed a Computer-Assisted Manufacturing System. After her MBA, she joined Booz Allen and Hamilton in Paris and San Francisco. In this podcast episode, Dr. Jonathan H. Westover talks with Francoise Brougher about rethinking the workforce of the future.

Francoise Brougher is a pioneering technology leader with more than 25 years of experience scaling category-defining companies and driving AI-first business transformation. She currently serves as the Chief Executive Officer and Board Member at Pebl (formerly Velocity Global), where she is leading the company’s reinvention as an AI-first global workforce platform. Under her leadership, Pebl is reshaping the Employer of Record industry by combining 10+ years of compliance precision with AI-driven simplicity, speed, and transparency, empowering companies to hire and manage talent across 185+ countries. Francoise has a proven track record of building and scaling global organizations responsible for multi-billion-dollar revenue growth. She took both Square (2015) and Pinterest (2019) public as the executive leader of GTM strategy. Earlier at Google, she scaled SMB Global Sales and Operations into a 15B+ business, pioneering the application of machine learning to customer engagement. She currently serves on the boards of Qonto (Chair, Compensation Committee), Too Good To Go, and as a Board Observer at Alan. She started her career in Japan, working for L'Oreal in a manufacturing plant for three years, where she installed a Computer-Assisted Manufacturing System. After her MBA, she joined Booz Allen and Hamilton in Paris and San Francisco.

]]> 1455 no AI, Organizational Leadership, and Scaling your Business, with Namit Jindal https://futurestateuniversity.podbean.com/e/ai-organizational-leadership-and-scaling-your-business-with-namit-jindal-1786142455/ In this podcast episode, Dr. Jonathan H. Westover talks with Namit Jindal about AI, organizational leadership, and scaling your business. Namit Jindal runs a software company called Aerosend.io. They help B2B companies send cold emails that land in the inbox. They specialize in facilitating highly personalized emails that are relevant to the audience. Wed, 15 Oct 2025 07:00:00 -0000 AI, Organizational Leadership, and Scaling your Business, with Namit Jindal full 345 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Namit Jindal about AI, organizational leadership, and scaling your business. Namit Jindal runs a software company called Aerosend.io. They help B2B companies send cold emails that land in the inbox. They specialize in facilitating highly personalized emails that are relevant to the audience. Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Namit Jindal about AI, organizational leadership, and scaling your business. Namit Jindal runs a software company called Aerosend.io. They help B2B companies send cold emails that land in the inbox. They specialize in facilitating highly personalized emails that are relevant to the audience. In this podcast episode, Dr. Jonathan H. Westover talks with Namit Jindal about AI, organizational leadership, and scaling your business.

Namit Jindal runs a software company called Aerosend.io. They help B2B companies send cold emails that land in the inbox. They specialize in facilitating highly personalized emails that are relevant to the audience.

]]> 1526 no How AI and Automation Are Reshaping the Way Companies Think about Talent, with Sarah Smart and Sofia Whelan https://futurestateuniversity.podbean.com/e/how-ai-and-automation-are-reshaping-the-way-companies-think-about-talent-with-sarah-smart-and-sofia-whelan/ In this podcast episode, Dr. Jonathan H. Westover talks with Sarah Smart and Sofia Whelan about how AI and automation are reshaping the way companies think about talent. Sarah Smart has over 20 years of leadership experience in Talent Acquisition at companies like Hilton Worldwide, Accenture, and JPMorgan Chase. She is also the co-founder of HorizonHuman. During her career, Sarah has led global teams in the adoption of Generative AI-enabled technologies, new HCMS, and new processes that transform and align organizations to the new expectations in HR. In her most recent role, Sarah led the Product Organization for Talent Acquisition at JPMorgan Chase as well as leading the Chase Recruiting Organization. Sarah is also a founding member of the Human Centric AI Council, launched in 2025, shaping what human-centric AI looks like in HR. Sofia Whelan brings over 16 years of global HR transformation experience. She has a strong passion and deep focus on translating HR trends into programs that drive business value. During her time at Deloitte as a Human Capital consultant, she excelled at providing advice and implementation services related to HR Technology Strategy, Operating Models/ Org Design and Vendor Selections, as well as Transformation Execution and Change Management for a wide range of companies, including Google, Disney, Ab- Inbev, Pfizer and more. Prior to starting HorizonHuman Sofia led the design and delivery of a Product Operating Model and Skills Strategy at JPMorgan Chase. Thu, 02 Oct 2025 07:00:00 -0000 How AI and Automation Are Reshaping the Way Companies Think about Talent, with Sarah Smart and Sofia Whelan full 337 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Sarah Smart and Sofia Whelan about how AI and automation are reshaping the way companies think about talent. Sarah Smart has over 20 years of leadership experience in Talent Acquisition at companies like Hilton Worldwide, Accenture, and JPMorgan Chase. She is also the co-founder of HorizonHuman. During her career, Sarah has led global teams in the adoption of Generative AI-enabled technologies, new HCMS, and new processes that transform and align organizations to the new expectations in HR. In her most recent role, Sarah led the Product Organization for Talent Acquisition at JPMorgan Chase as well as leading the Chase Recruiting Organization. Sarah is also a founding member of the Human Centric AI Council, launched in 2025, shaping what human-centric AI looks like in HR. Sofia Whelan brings over 16 years of global HR transformation experience. She has a strong passion and deep focus on translating HR trends into programs that drive business value. During her time at Deloitte as a Human Capital consultant, she excelled at providing advice and implementation services related to HR Technology Strategy, Operating Models/ Org Design and Vendor Selections, as well as Transformation Execution and Change Management for a wide range of companies, including Google, Disney, Ab- Inbev, Pfizer and more. Prior to starting HorizonHuman Sofia led the design and delivery of a Product Operating Model and Skills Strategy at JPMorgan Chase.  Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Sarah Smart and Sofia Whelan about how AI and automation are reshaping the way companies think about talent. Sarah Smart has over 20 years of leadership experience in Talent Acquisition at companies like Hilton Worldwide, Accenture, and JPMorgan Chase. She is also the co-founder of HorizonHuman. During her career, Sarah has led global teams in the adoption of Generative AI-enabled technologies, new HCMS, and new processes that transform and align organizations to the new expectations in HR. In her most recent role, Sarah led the Product Organization for Talent Acquisition at JPMorgan Chase as well as leading the Chase Recruiting Organization. Sarah is also a founding member of the Human Centric AI Council, launched in 2025, shaping what human-centric AI looks like in HR. Sofia Whelan brings over 16 years of global HR transformation experience. She has a strong passion and deep focus on translating HR trends into programs that drive business value. During her time at Deloitte as a Human Capital consultant, she excelled at providing advice and implementation services related to HR Technology Strategy, Operating Models/ Org Design and Vendor Selections, as well as Transformation Execution and Change Management for a wide range of companies, including Google, Disney, Ab- Inbev, Pfizer and more. Prior to starting HorizonHuman Sofia led the design and delivery of a Product Operating Model and Skills Strategy at JPMorgan Chase. In this podcast episode, Dr. Jonathan H. Westover talks with Sarah Smart and Sofia Whelan about how AI and automation are reshaping the way companies think about talent.

Sarah Smart has over 20 years of leadership experience in Talent Acquisition at companies like Hilton Worldwide, Accenture, and JPMorgan Chase. She is also the co-founder of HorizonHuman. During her career, Sarah has led global teams in the adoption of Generative AI-enabled technologies, new HCMS, and new processes that transform and align organizations to the new expectations in HR. In her most recent role, Sarah led the Product Organization for Talent Acquisition at JPMorgan Chase as well as leading the Chase Recruiting Organization. Sarah is also a founding member of the Human Centric AI Council, launched in 2025, shaping what human-centric AI looks like in HR.

Sofia Whelan brings over 16 years of global HR transformation experience. She has a strong passion and deep focus on translating HR trends into programs that drive business value. During her time at Deloitte as a Human Capital consultant, she excelled at providing advice and implementation services related to HR Technology Strategy, Operating Models/ Org Design and Vendor Selections, as well as Transformation Execution and Change Management for a wide range of companies, including Google, Disney, Ab- Inbev, Pfizer and more. Prior to starting HorizonHuman Sofia led the design and delivery of a Product Operating Model and Skills Strategy at JPMorgan Chase.

]]> 1640 no Train to Lead, with Christian Muntean https://futurestateuniversity.podbean.com/e/train-to-lead-with-christian-muntean/ In this podcast episode, Dr. Jonathan H. Westover talks with Christian Muntean about his new book, "Train to Lead." Christian Muntean has helped hundreds of businesses rapidly grow, increase profitability, and expand impact. He primarily works with entrepreneurial business leaders who are scaling their businesses or preparing for exit or succession. He partners with owners, boards, and executive teams as they make game-changing decisions. Christian is the author of three popular books, with the most recent being Train to Lead. He is a frequent guest on podcasts and has been a contributor to Forbes.com. Christian lives in Anchorage, Alaska with his wife and three active children. He enjoys woodworking and practices Brazilian Jiu-Jitsu. Wed, 24 Sep 2025 07:00:00 -0000 Train to Lead, with Christian Muntean full 339 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Christian Muntean about his new book, "Train to Lead."  Christian Muntean has helped hundreds of businesses rapidly grow, increase profitability, and expand impact. He primarily works with entrepreneurial business leaders who are scaling their businesses or preparing for exit or succession. He partners with owners, boards, and executive teams as they make game-changing decisions. Christian is the author of three popular books, with the most recent being Train to Lead. He is a frequent guest on podcasts and has been a contributor to Forbes.com. Christian lives in Anchorage, Alaska with his wife and three active children. He enjoys woodworking and practices Brazilian Jiu-Jitsu. https://www.linkedin.com/in/christianmuntean/  Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Christian Muntean about his new book, "Train to Lead." Christian Muntean has helped hundreds of businesses rapidly grow, increase profitability, and expand impact. He primarily works with entrepreneurial business leaders who are scaling their businesses or preparing for exit or succession. He partners with owners, boards, and executive teams as they make game-changing decisions. Christian is the author of three popular books, with the most recent being Train to Lead. He is a frequent guest on podcasts and has been a contributor to Forbes.com. Christian lives in Anchorage, Alaska with his wife and three active children. He enjoys woodworking and practices Brazilian Jiu-Jitsu. In this podcast episode, Dr. Jonathan H. Westover talks with Christian Muntean about his new book, "Train to Lead."

Christian Muntean has helped hundreds of businesses rapidly grow, increase profitability, and expand impact. He primarily works with entrepreneurial business leaders who are scaling their businesses or preparing for exit or succession. He partners with owners, boards, and executive teams as they make game-changing decisions. Christian is the author of three popular books, with the most recent being Train to Lead. He is a frequent guest on podcasts and has been a contributor to Forbes.com. Christian lives in Anchorage, Alaska with his wife and three active children. He enjoys woodworking and practices Brazilian Jiu-Jitsu.

]]> 1431 no AI-First Hiring Is the New TA Reality, with Stella Ioannidou https://futurestateuniversity.podbean.com/e/ai-first-hiring-is-the-new-ta-reality-with-stella-ioannidou/ In this podcast episode, Dr. Jonathan H. Westover talks with Stella Ioannidou about the new report, AI-First Hiring Is the New TA Reality. Stella Loannidou is the Senior Director of Research and Global Workforce Intelligence Project leader at The Josh Bersin Company. In this role, she conducts empirical research on a variety of topics related to the skills economy, talent intelligence, and HCM solutions. Stella has almost 20 years of experience across several industries, including banking. Prior to joining The Josh Bersin Company, Stella was the HR transformation leader for Deloitte, where she led large-scale HCM implementations and designed frameworks for talent acquisition and performance management for the public sector. Stella holds master’s degrees in engineering, information systems management, business administration, and lifelong learning. She is a certified project manager, change management practitioner, lean six sigma green belt, and ICAgile HR professional. https://joshbersin.com/talent-acquisition-revolution/ Thu, 18 Sep 2025 07:00:00 -0000 AI-First Hiring Is the New TA Reality, with Stella Ioannidou full 341 WRKdefined Podcast Network In this podcast episode, Dr. Jonathan H. Westover talks with Stella Ioannidou about the new report, AI-First Hiring Is the New TA Reality. Stella Loannidou is the Senior Director of Research and Global Workforce Intelligence Project leader at The Josh Bersin Company. In this role, she conducts empirical research on a variety of topics related to the skills economy, talent intelligence, and HCM solutions. Stella has almost 20 years of experience across several industries, including banking. Prior to joining The Josh Bersin Company, Stella was the HR transformation leader for Deloitte, where she led large-scale HCM implementations and designed frameworks for talent acquisition and performance management for the public sector. Stella holds master’s degrees in engineering, information systems management, business administration, and lifelong learning. She is a certified project manager, change management practitioner, lean six sigma green belt, and ICAgile HR professional.    https://joshbersin.com/talent-acquisition-revolution/   Check out all of the podcasts in the HCI Podcast Network! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info. In this podcast episode, Dr. Jonathan H. Westover talks with Stella Ioannidou about the new report, AI-First Hiring Is the New TA Reality. Stella Loannidou is the Senior Director of Research and Global Workforce Intelligence Project leader at The Josh Bersin Company. In this role, she conducts empirical research on a variety of topics related to the skills economy, talent intelligence, and HCM solutions. Stella has almost 20 years of experience across several industries, including banking. Prior to joining The Josh Bersin Company, Stella was the HR transformation leader for Deloitte, where she led large-scale HCM implementations and designed frameworks for talent acquisition and performance management for the public sector. Stella holds master’s degrees in engineering, information systems management, business administration, and lifelong learning. She is a certified project manager, change management practitioner, lean six sigma green belt, and ICAgile HR professional. https://joshbersin.com/talent-acquisition-revolution/ In this podcast episode, Dr. Jonathan H. Westover talks with Stella Ioannidou about the new report, AI-First Hiring Is the New TA Reality.

Stella Loannidou is the Senior Director of Research and Global Workforce Intelligence Project leader at The Josh Bersin Company. In this role, she conducts empirical research on a variety of topics related to the skills economy, talent intelligence, and HCM solutions. Stella has almost 20 years of experience across several industries, including banking. Prior to joining The Josh Bersin Company, Stella was the HR transformation leader for Deloitte, where she led large-scale HCM implementations and designed frameworks for talent acquisition and performance management for the public sector. Stella holds master’s degrees in engineering, information systems management, business administration, and lifelong learning. She is a certified project manager, change management practitioner, lean six sigma green belt, and ICAgile HR professional. https://joshbersin.com/talent-acquisition-revolution/

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