The Human Capitalist

AI is changing organizations faster than most leaders know how to manage. But the biggest problem with AI transformation isn't the technology. It's how we lead the people experiencing it. In this episode of The Human Capitalist Podcast, host Trent Cotton welcomes back Tracey Lovejoy, researcher, author, and co-founder of Catalyst Constellations, to explore why traditional approaches to transformation are becoming obsolete and what leaders must do differently. Drawing on new research from Transformation at Speed, Tracey explains why organizations have entered an age of continuous evolution, where change no longer follows a predictable beginning, rollout, and finish line. Together, Trent and Tracey examine the leadership challenges emerging from AI adoption, including executive misalignment, workforce anxiety, employee burnout, shifting management structures, and the growing importance of human adaptability. In this episode, you'll learn: Why AI transformation is fundamentally a people transformation Why traditional change management models are struggling What new research reveals about transformation at speed Why CHROs and CIOs must work together on workforce readiness How AI is reshaping middle management and organizational structures Why AI-driven layoffs can undermine long-term workforce value How leaders can reduce employee fear through transparency Why continuous change requires a different approach to burnout and energy management The three organizational patterns emerging from transformation research Why genuine executive alignment matters more than another technology investment ⏱️ EPISODE CHAPTERS 00:00 Why AI Transformation Is Really About People01:46 Why CHROs and CIOs Must Work Together07:21 How AI Is Reshaping Middle Management13:00 The Hidden Cost of Automating the Wrong Work18:01 Why AI Doesn't Have to Make Humans Expendable24:30 Why Traditional Change Management Is Becoming Obsolete27:55 How to Avoid Burnout During Continuous Change35:17 Three Research Findings Every Leader Should Know41:13 Who Should Own AI Transformation?47:03 The Most Important Leadership Advice for the AI Era ABOUT OUR GUEST Tracey Lovejoy is a co-founder of Catalyst Constellations and co-author of Move Fast. Break Shit. Burn Out.: The Catalyst's Guide to Working Well. Her work focuses on helping leaders, teams, and organizations navigate transformation, develop adaptability, and create meaningful change. Explore the research discussed in this episode, including Transformation at Speed, at: https://catalystconstellations.com ABOUT THE HUMAN CAPITALIST PODCAST Hosted by Trent Cotton, The Human Capitalist Podcast explores AI, HR transformation, leadership, workforce strategy, and the future of work through candid conversations with the people shaping what's next. JOIN THE CONVERSATION Is your organization genuinely preparing people for continuous change, or simply rolling out more technology and expecting employees to adapt? Share your thoughts in the comments. Subscribe for more conversations about AI transformation, human capital strategy, leadership, and the future of work. #AITransformation #Leadership #FutureOfWork Learn more about your ad choices. Visit megaphone.fm/adchoices

Most companies are getting AI transformation wrong. They're buying tools, giving employees access, and expecting productivity to improve. But that's not transformation. In this episode of The Human Capitalist Podcast, host Trent Cotton sits down with Jo Atkinson, co-founder of Prompt Mates, to unpack what it actually means to become AI-native and why so many HR and talent acquisition teams are struggling to make AI work. Jo works with a community of HR and recruiting practitioners who are experimenting with AI, building new workflows, and sharing what's actually working inside organizations. And one of the biggest lessons? Being AI-native doesn't mean using more AI. It means knowing when, where, and how to use it. Together, Trent and Jo challenge conventional thinking about AI adoption, explore the risks of poor AI governance, and discuss why organizations need to rethink their workflows instead of simply adding more technology. In this episode, you'll discover: Why buying AI tools isn't the same as AI transformation What separates AI-native professionals from casual ChatGPT users Why effective AI adoption sometimes means using less AI How HR leaders can create practical AI governance policies Why employees aren't necessarily responsible for failed AI rollouts How recruiters are building their own applications and workflows Why AI transformation requires organizational change, not just technology How internal AI champions can accelerate adoption The growing challenge of AI-assisted cheating in job interviews What HR professionals should do today to prepare for the future of work ⏱️ EPISODE CHAPTERS 00:00 Why Most Teams Are Getting AI Wrong01:09 Is AI Eliminating Entry-Level Jobs?07:32 The Hidden Risks of AI Without Governance12:53 Meet Jo Atkinson, Co-Founder of Prompt Mates17:59 How Recruiters Are Building With AI21:14 What Being AI-Native Actually Means28:11 Why Buying AI Tools Doesn't Create Transformation29:49 How to Build an AI-Native HR Team32:01 AI Interview Cheating and Candidate Fraud37:17 Why HR Professionals Can't Keep Waiting on AI ABOUT OUR GUEST Jo Atkinson is the co-founder of Prompt Mates, a community focused on helping HR and talent acquisition practitioners learn, experiment, and build with AI through peer-to-peer collaboration. Explore Prompt Mates and its community, events, and educational resources. https://www.promptmates.ai/ ABOUT THE HUMAN CAPITALIST PODCAST Hosted by Trent Cotton, The Human Capitalist Podcast explores artificial intelligence, HR transformation, leadership, talent acquisition, and the future of work through candid conversations with the people challenging traditional ways of working. JOIN THE CONVERSATION Is your organization actually transforming how work gets done with AI, or simply giving employees more tools? Share your thoughts in the comments. Subscribe for more conversations about AI, HR leadership, workforce transformation, and the future of work. #AITransformation #HumanResources #FutureOfWork Learn more about your ad choices. Visit megaphone.fm/adchoices

Before you cut jobs because of AI, there's one question every HR and business leader should ask: What is the actual value of the work? Companies are racing to automate work, restructure teams, and reduce headcount. But too often, they're making those decisions without understanding which work actually drives enterprise value—and which work still requires human judgment. In this video, I walk you through my Value of Work Matrix, a practical framework you can use to evaluate work based on two dimensions: enterprise value and human focus required. You'll learn how to identify work that should be eliminated, automated and scaled, protected, or repositioned—and why automating the wrong work can create bigger problems than it solves. 📘 Order my book, The FutHRist: The 5 Mindsets of the Future HR Pro, on Amazon. Search Amazon for “The FutHRist Trent Cotton.” 🧭 Which FutHRist mindset are you? Take the self-assessment: https://www.trentcotton.com/futhrist-self-assessment/ Chapters 00:00 Why AI isn't the real reason behind layoffs 00:29 The Value of Work Matrix 00:45 Start with your organization's value “beacons” 02:04 Building the Value of Work Matrix 03:26 Measuring how much human focus work requires 04:52 “Why?” — low-value, low-focus work 06:08 Automate & Scale — high-value, low-focus work 07:20 Protect — high-value, high-focus work 08:09 The Danger Zone — low-value, high-focus work 09:12 How to apply the matrix to departments and roles 10:19 Using the framework for AI workforce decisions 10:45 Where to learn more about the framework 11:11 The 5 Mindsets of the FutHRist The future of HR isn't about replacing humans with AI. It's about understanding where technology creates value—and where human judgment, experience, and connection matter most. People. Technology. Business. A Better Tomorrow. #HR #AIinHR #FutureOfWork #FutHRist Learn more about your ad choices. Visit megaphone.fm/adchoices

AI has broken the resume. When every candidate can use artificial intelligence to look like a perfect match, how do you know who can actually do the job? In this episode of The Human Capitalist Podcast, host Trent Cotton sits down with Amanda Richardson, CEO of CoderPad, to challenge everything we thought we knew about hiring, resumes, experience, and the future of work. Amanda shares how CoderPad received 500 applications for a developer position in just 24 hours, why traditional hiring practices are failing, and how AI is accelerating the shift toward skills-based hiring. But the conversation goes far beyond recruiting. As AI transforms how organizations operate, traditional job titles are becoming less meaningful, middle management is facing new pressure, and companies must rethink what makes someone valuable. In this episode, you'll discover: Why AI-generated resumes are making candidate screening harder How skills-based hiring can outperform traditional experience requirements Why years of experience don't necessarily predict job performance How AI is reshaping developer, product management, and other professional roles Why middle management is facing a major transformation How practical skills assessments can help companies make better hiring decisions The three critical skills Amanda would prioritize when building a company today Why curiosity, decision-making, and systems thinking matter in an AI-driven workplace What HR and talent acquisition leaders must do to prepare for the future of work The big question: If resumes can no longer reliably tell us who's qualified, what should companies hire for instead? Whether you're a CHRO, HR leader, recruiter, hiring manager, or business executive, this conversation challenges conventional wisdom and offers practical ideas for navigating the next era of talent. Connect with our guest:Amanda Richardson — CEO, CoderPadCoderPad: https://coderpad.io About The Human Capitalist Podcast:Hosted by Trent Cotton, The Human Capitalist Podcast explores the intersection of artificial intelligence, human capital, leadership, and the future of work through candid conversations with industry leaders. Join the conversation:Would you rather hire someone with eight years of experience or someone who can prove they have the skills to deliver better results? Share your thoughts in the comments. Subscribe for more conversations about AI, HR transformation, talent acquisition, and the future of work. #ArtificialIntelligence #SkillsBasedHiring #FutureOfWork Learn more about your ad choices. Visit megaphone.fm/adchoices

AI may not be the biggest threat facing HR. Irrelevance might be. In this episode of The Human Capitalist Podcast, I sit down with my friend Brandon Jeffs for one of the more candid conversations we've had about where HR, recruiting, and talent are actually headed. And we don't agree with every popular HR narrative. We dig into whether CHROs really need to “earn a seat at the table,” why I believe nobody deserves that seat, whether recruiting could become one of the most strategically important functions in the business, and why skills-based hiring may not be nearly as mature as the industry wants us to believe. We also tackle AI adoption. Companies are racing toward AI-enabled work, but adoption is messy, governance is lagging, and employees can now bring their own AI tools into the workplace whether the enterprise is ready or not. Then we get into a bigger question: What is HR actually for? If payroll and benefits move toward finance, employee relations works increasingly alongside legal, AI changes administrative work, and organizations operate with smaller headcounts—what is left for HR to own? Brandon makes the case that the answer may be closer to recruiting than many HR leaders want to admit. We talk about recruiting as a source of market intelligence, why revenue per employee matters, what's wrong with traditional job descriptions, the limitations of skills-based hiring, and why the HR organizations of the future may look very different from the ones we built in the past. If you're a CHRO, HR leader, recruiter, talent acquisition leader, or executive trying to understand where work is headed, this one may make you uncomfortable. Good. That's usually where the interesting conversations start. 00:00 — Is HR's biggest threat AI—or irrelevance? 02:20 — AI adoption, governance & the future of HR tech 09:50 — Does the CHRO really deserve a seat at the table? 16:10 — Why recruiting may be HR's most strategic function 18:36 — Job descriptions are broken 20:18 — Is skills-based hiring actually overhyped? 26:02 — Could recruiting become the future of HR? 34:30 — Brandon's advice for staying relevant I'm working on my new book, The FutHRist: The 5 Mindsets of the Future HR Pro, built around the five mindsets I believe HR professionals will need to remain relevant in the age of AI: The Architect. The CEO. The Engineer. The Scientist. The Coach. The book is coming this fall. Take the free FutHRist assessment and learn more at trentcotton.com. The Human Capitalist Podcast — at the intersection of AI and HR leadership. Hosted by Trent Cotton, author of The FutHRist: The 5 Mindsets of the Future HR Pro — available this fall. Take your free assessment at www.trentcotton.com #HumanResources #HRLeadership #Recruiting #FutureOfHR #AI ⏱️ TimestampsAbout The FutHRist Learn more about your ad choices. Visit megaphone.fm/adchoices

I don't think the biggest threat to HR is getting fired by AI. It may be something much quieter: keeping your job, your title, your team, and even your seat at the table while the biggest decisions about the workforce get made without you. In this episode of **Is HR Being Fired?**, I break down what Monday.com's restructuring tells us about the changing role of HR in the age of AI. We're looking beyond the layoffs to the bigger questions facing HR leaders: • What happens when revenue grows but headcount doesn't? • Which jobs actually change because of AI? • Where can companies increase output without increasing headcount? • Where is human judgment still worth paying for? • Where is AI and automation riskier than it looks? • And who will design the organization of the future if HR doesn't? This isn't just a Monday.com story. CEOs and CFOs are asking new questions about productivity, automation, organizational design, and the workforce. If HR is still answering yesterday's questions, someone else will answer tomorrow's. The future of HR isn't about defending our seat at the table. It's about becoming the people who help design what the organization becomes. 📘 My new book THE FUTHRIST released on September 14th. 🎯 Take my Futurist Self-Assessment to discover whether you're operating as the Architect, Engineer, Scientist, CEO, or Coach—and where you need to improve to remain relevant in the age of AI: www.trentcotton.com/futhrist-self-assessment/ ▶️ Watch the full **Is HR Being Fired?** series: https://www.youtube.com/playlist?list=PLdyUKttA2krw Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is making employees more productive but where is all that productivity actually going? McKinsey data shows a striking gap: while companies report significant productivity gains from AI, far fewer can connect those gains to measurable financial impact. Meanwhile, organizations aren't waiting for the answer. Roles are being redesigned, hiring is being frozen, and workforce reductions are being considered. In this video, I break down three possible explanations for where the AI productivity gain is going—and what leaders should be measuring before making major workforce decisions. We'll look at research from McKinsey, Apollo, and Culture Amp to explore: • Why AI productivity gains may never reach the P&L • What wage data may tell us about who is capturing AI's value • Why employees can feel more productive without feeling less overloaded • The difference between eliminating work and simply making work faster • How to track AI ROI through the actual flow of work • How the Value of Work Matrix can expose where productivity gains disappear I also share three questions leaders should be able to answer about AI—and a practical exercise you can use with your team to determine whether AI is creating measurable value or simply creating more capacity nobody is tracking. Want to understand the five mindsets HR professionals will need for the future of work? Take the free FutHRist assessment: https://trentcotton.com/futhrist-start-here Learn more about the Value of Work Matrix: https://youtu.be/_umOtBmp_BY The FutHRist: The 5 Mindsets of the Future HR Pro: https://www.amazon.com/dp/B0HG4TBBX8 Resources for HR Leaders 📊 The Value of Work Matrix Toolkit — A practical framework to quantify workforce decisions and defend headcount to your CFO. https://cottontrent.gumroad.com/l/value-of-work-matrix-toolkit 📋 FutHRist Team Assessment Workbook — Diagnose your HR team's readiness for the future of work, skills gap and all. https://cottontrent.gumroad.com/l/futhrist-team-workbook 📥 The FutHRist Planner (free) — A structured planning tool for HR leaders navigating AI-driven transformation. https://cottontrent.gumroad.com/l/futhrist-productivity-planner Subscribe for practical analysis on AI, work, leadership, and the future of human capital. #ArtificialIntelligence #FutureOfWork #AI Learn more about your ad choices. Visit megaphone.fm/adchoices

You meet the qualifications. You applied for the job. So why can't you even get an interview? Recruiters are being buried under hundreds—or even thousands—of applications while qualified candidates are wondering why they can't break through. In this episode of The Human Capitalist Podcast, I sit down with recruiter and creator Mike Petito to unpack what's actually happening on both sides of today's hiring process. Mike shares his four-bucket framework for job applicants, including perhaps the most frustrating group of all: candidates who meet the basic qualifications but still aren't getting interviews. We also dig into why most job descriptions need work, the truth behind recruiters spending “7 seconds” reviewing resumes, transferable skills, skills-based hiring, AI's growing role in HR, and what hiring teams can do differently. Whether you're an HR leader, recruiter, hiring manager, or currently looking for your next role, this conversation gives you a look behind the curtain at how hiring decisions actually get made. 📘 Want to prepare yourself for the future of HR? Order my book, The FutHRist: The 5 Mindsets of the Future HR Pro, on Amazon. Search Amazon for “The FutHRist Trent Cotton.” 🧭 Which FutHRist mindset are you? Take the free self-assessment: Take the FutHRist Self-Assessment Mike's media: LinkedIn: https://www.linkedin.com/in/mpeditto/ Website: https://mikepeditto.teachable.com/ Book: https://a.co/d/0gvNfRY0 Chapters 00:00 Why qualified candidates aren't breaking through 00:41 Meet Mike Petito 04:00 Is HR moving fast enough for AI? 05:21 AI is a people transformation, not just technology 07:17 The problem with AI workforce planning 10:55 Should HR be at the center of AI? 13:22 The AI knowledge gap inside HR 15:09 Why Mike's recruiting video went viral 17:53 The truth about the “7-second resume” rule 20:10 Whose fault is it: candidate or company? 21:01 The four buckets every applicant falls into 21:55 The most frustrating applicant bucket 23:08 What's wrong with skills-based hiring? 25:22 Why transferable skills aren't enough right now 27:19 How to write a better job description 29:36 Skills you need on Day 1 vs. skills you'll learn 33:19 Why candidates should know the interview process 36:01 Mike's advice for today's job seekers 38:45 Advice for HR and recruiting professionals 41:19 Where to find Mike + Yes, You Are Being Judged The future of hiring isn't just about better technology. It's about building a better process for the humans on both sides of the table. People. Technology. Business. A Better Tomorrow. #HR #AIinHR #Recruiting #JobSearch #FutHRist Learn more about your ad choices. Visit megaphone.fm/adchoices

AI isn't leveling the workforce. It's splitting it into two completely different tracks — and most organizations haven't realized it yet. In this episode of Is HR Being Fired?, I break down new workforce data showing how AI is changing the value of work, why some roles are becoming more valuable while others are being democratized, and what HR leaders need to do before this divide starts showing up in attrition, productivity, and the P&L. I'll also show you how I use my Value of Work Matrix and the five FutHRist mindsets — Architect, Engineer, Scientist, COO, and Coach — to diagnose what's happening inside an organization and build a workforce strategy around it. 👉 Links mentioned in the video: IS HR BEING FIRED playlist: https://www.youtube.com/playlist?list=PLdyUKttA2krw CEO Fires HR video: https://youtu.be/8zPu9YLUerc Information about the FutHRist: www.trentcotton.com Subscribe to the channel and check out The FutHRist playlist to learn more about the five mindsets that I believe will become the new operating system for HR. TIMESTAMPS 00:00 — AI Is Splitting Your Workforce in Two 01:12 — Is HR Being Fired? 02:15 — The Data Behind the Workforce Split 02:30 — Professionalized vs. Democratized Work 03:21 — What's Happening to Entry-Level Jobs 04:00 — The FutHRist: 5 Mindsets for What's Next 04:40 — The Value of Work Matrix 05:15 — When Jobs Get Smaller but More Valuable 05:22 — How AI Democratizes Expertise 05:59 — The Number Your CFO Will Care About 06:25 — Applying the 5 FutHRist Mindsets 06:39 — The Scientist Mindset 07:07 — The Architect Mindset 07:29 — The Engineer Mindset 08:00 — The COO Mindset 08:06 — The Coach Mindset 08:40 — 3 Things HR Leaders Should Do This Week 09:57 — The Real Question: Is HR Being Fired? 📕 THE FUTHRIST I've taken 20 years of HR experience and condensed it into roughly 145 pages designed to help HR professionals not just survive what's coming next, but lead it. The FutHRist is available on Amazon September 14. Learn more at www.trentcotton.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta reportedly had a plan to dramatically reshape parts of its workforce around AI agents. Then, hours before another round of cuts, Mark Zuckerberg stopped it. The obvious conclusion is that AI wasn't ready. I think there's a much bigger lesson here, especially for HR leaders. In this video, I break down what Meta's experience can teach us about building an AI-native organization through the five FutHRist mindsets: The Architect, Engineer, Scientist, CEO, and Coach. Because becoming AI-native isn't simply a headcount exercise. You have to rethink how work is designed, where human judgment still creates value, how AI and humans hand work back and forth, which metrics actually predict business outcomes, and what happens to your best people while the organization transforms. We'll look at reported changes in code output, product delivery, security incidents, and employee sentiment—and why looking at any one of those metrics in isolation can lead leaders to the wrong conclusion. I also explain how my Value of Work Matrix changes the question from: “How many people can we remove?” to: “Which work should stop existing?” Those are two very different questions, and they create two very different organizations. 📘 Get my new book, The FutHRist: The 5 Mindsets of the Future HR Pro, available now on Amazon. Search Amazon for “The FutHRist Trent Cotton.” 🧭 Discover your FutHRist mindset with my free self-assessment: https://www.trentcotton.com/futhrist-self-assessment/ Chapters 00:00 Meta's reported plan to replace work with AI 00:34 Why I'm looking at this differently 00:46 What Meta reportedly planned 01:28 Why “AI wasn't ready” misses the bigger story 02:06 The 5 FutHRist mindsets 02:29 Architect: Don't confuse headcount cuts with transformation 03:58 Engineer: Where AI handoffs break 05:05 Scientist: Are you measuring the wrong thing? 06:21 CEO: Is your workforce actually driving enterprise value? 06:57 The Value of Work Matrix 07:47 Coach: The human cost of AI transformation 09:06 Who wasn't in the room? 09:20 The uncomfortable lesson for HR leaders 09:49 Discover your FutHRist mindset Articles Cited The reporting and data discussed in this video draw from the following articles: Reuters — Mark Zuckerberg Had a Bold Plan to Replace Meta Staff With AI. Here’s How It Imploded https://www.reuters.com/investigations/mark-zuckerberg-had-bold-plan-replace-meta-staff-with-ai-heres-how-it-imploded-2026-08-26/ Business Insider — Meta Asks Some AI Employees to Become Managers Again https://www.businessinsider.com/meta-asks-some-ai-employees-to-become-managers-again-2026-9 The future of HR isn't about protecting every job from AI. It's about understanding how people, technology, and business come together to create enterprise value. People. Technology. Business. A Better Tomorrow. #HR #AIinHR #ArtificialIntelligence #FutureOfWork #FutHRist Learn more about your ad choices. Visit megaphone.fm/adchoices