The Mindtools L&D Podcast

AI promises personalized learning for everyone, at scale. So why are organizations still putting people in rooms together, and what does it take to make that time worthwhile? In this week's episode of The Mindtools L&D Podcast, Ross G is joined by Nick Bellinger, founder of Active Facilitation, and Becky Haasbroek, learning experience designer and facilitator at Mindtools Kineo, to explore why live learning still matters in a world dominated by AI. We discuss: why people buy live learning for 'psychological safety' and relationships, not a 'sage on the stage' how great facilitators act as 'the guide, not the star', in the room and online where AI fits in live learning, from practice conversations to proving impact Nick borrows the idea of the facilitator as 'the guide, not the star' from AJ&Smart. Ross G cited ATD's 2026 State of the Industry report, which found that fewer than a quarter of organizations measure whether their training achieves its organizational goals. For more on proving the value of learning, explore our previous episodes on impact measurement. Find out more about Nick's work at Active Facilitation. In 'What I Learned this Week', Becky shared that she has learned the Beatles' albums in order, as a workout for a brain she worries AI is making lazy. Nick shared the Stoic idea of 'amor fati', or loving your fate, from Ryan Holiday's The Daily Stoic, which his early-morning fitness group is testing as a source of discussion topics. Ross G recommended his wife Amy Garner's new children's book, The Tree Who Never Saw Christmas, ideal for ages four to seven. For more from Mindtools Kineo, visit our website mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills. Connect with our speakers If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Ross Garner Nick Bellinger Becky Haasbroek

Many organizations have adopted AI, but far fewer have changed how people work, trained them, or made it safe to experiment. That gap is what we call the 'AI Divide'. In this week's episode of The Mindtools L&D Podcast, Ross D is joined by Dr Ana Voronkova from our Insights team and Rodrigo Bolaños, our Global AI Strategy Officer, to explore what return organizations can expect from their investment in AI, and what they need to do internally to maximize it. We discuss: why the 'AI Divide' is about who can use AI well, not just who has access to it why at least 75% of the responsibility for building AI skills sits with employers what good AI training looks like, and why leaders should diagnose before they prescribe Read the Mindtools Kineo analysis behind this episode, The AI Confidence Gap, which includes an AI Skills Readiness Calculator and the full methodology. Ana cited KPMG's research modeling two futures for US AI adoption by 2030: Generative AI and economic growth: A new approach to measuring its potential impact. Ross D contrasted two views of how AI will play out, including the paper AI as Normal Technology by Arvind Narayanan and Sayash Kapoor, which argues that the slow, messy spread of AI inside organizations will shape its impact. In 'What I Learned this Week', Ross D shared the 99% Invisible episode Doktoro Esperanto, about L. L. Zamenhof, creator of Esperanto. For more from Mindtools Kineo, visit our website mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills. Connect with our speakers If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Ross Dickie Dr Ana Voronkova Rodrigo Bolaños

Is AI making you smarter or dumber? And what is the cost of offloading even the simplest of tasks? In this week's episode of The Mindtools L&D Podcast, guest host Julie Dirksen and Cammy Bean are joined by behavioral scientist Samuel Salzer to explore how to stop AI eroding our thinking. We discuss: why 'cognitive surrender' is riskier than 'cognitive offloading' how 'automation drift' can lead to organizational rot how to protect your thinking During the episode, Samuel pointed to a paper that models how reliance on AI can snowball: 'Large-Language Models as a Cognitive Virus'. Samuel's new venture, Surprisal, is a community for people who want to understand AI and use it thoughtfully. Julie's new book on skills development is Design for How People Build Skills. You can learn more about Julie's work at usablelearning.com. For more from Mindtools Kineo, visit our website mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills. Connect with our speakers If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Julie Dirksen Cammy Bean Samuel Salzer

Every responsible conversation about AI ends with the same advice: check the output. But being 'the human in the loop' is often hard, draining work, and it gets harder when everything AI produces looks like an end product. In this week's episode of The Mindtools L&D Podcast, guest host Julie Dirksen and Claire are joined by Dr Markus Bernhardt of Endeavor Intelligence to explore the human behaviors behind validating AI outputs, and what organizations need to do to support them. We discuss: why being the human in the loop requires psychological stamina how the agentic 'hamster wheel' erode our ability to validate outputs triaging tasks by how close they sit to your core expertise and values Julie's new book on skills development is Design for How People Build Skills. For more from Markus, visit endeavorintel.com. For more from Julie, visit usablelearning.com. In 'What I Learned this Week', Claire shared a new term from a scuba-diving friend: the 'incident pit'. It describes how one small problem, like a cracked mask, escalates into a bigger one. Julie recommended The Score: How to Stop Playing Somebody Else's Game by C. Thi Nguyen. It looks at how scoring systems, from climbing grades to university rankings, can quietly change what we value. For more from Mindtools Kineo, visit mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills. Connect with our speakers If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Julie Dirksen Claire Gibson Dr Markus Bernhardt

AI can make a rough idea look finished in seconds. That's great for productivity, but it's a real problem for anyone whose job is to judge the work. If polish, speed and thoroughness can all be generated, how do we know who actually knows their stuff? In this week's episode of The Mindtools L&D Podcast, guest host Julie Dirksen and Cammy Bean are joined by Koreen Pagano, CEO of Talent Rewire and co-author of Rewiring Your Organization for AI, and Dr Alicia Sanchez, Chief AI Officer at MPF Federal, to explore how we evaluate people's work when AI is part of how it gets done. We discuss: why the 'judgment layer' for AI output is missing in most organizations how 'polish' and speed change the way we review work what managers should, and shouldn't, evaluate when employees use AI. Julie referenced a study from Atlassian's Teamwork Lab, which found that AI polish makes it harder to spot problems in a draft, and that a simple 'Early Draft' label largely fixes it. Cammy mentioned an episode of The Curiosity Shop, in which Brené Brown and Adam Grant discuss building integrity in the age of normalized cheating, including when using AI counts as cheating. Alicia discussed a lesson from Koreen's book, Rewiring Your Organization for AI, co-written with Kristi Broom: decisions about what to automate belong with middle managers, not only with frontline employees. Julie's new book, Design for How People Build Skills, explores why skill-building comes down to feedback, and to helping people own their own development. For the latest from Koreen and her team, visit Talent Rewire. In 'What I Learned this Week', Julie shared how steel drums are made: old oil drums, pounded into shape and tuned. She also shared her first go at using AI as a travel planner for a trip to Rome. The verdict so far? She's still verifying most of it. For tips, Cammy recommended David Kelly's post on what a personal trip to London taught him about AI and learning. For more from Mindtools Kineo, visit our new website mindtools-kineo.com. There, you'll find out how we can help your organization build AI skills, and how our Skills Practice scenarios help build human skills. Connect with our speakers If you'd like to share your thoughts on this episode, connect with us on LinkedIn: Julie Dirksen Cammy Bean Koreen Pagano Alicia Sanchez