Why Do AI Initiatives Fail? It's a People Problem

Most AI transformations don't fail because the technology breaks. They fail because of people. This transatlantic panel breaks down AI change management: why close to 70% of change initiatives miss their original goals (BCG, 2026), and the people-first approach that actually shifts the odds. Here's the uncomfortable part. The tools usually work. Adoption is where things quietly die, in the gap between leadership deciding to change and change actually happening. Nobody budgets for that gap, and it's exactly where AI change management earns its keep. The conversation gets specific. Kaleem Clarkson (COO, Blend Me) walks through why employees are more afraid than leaders think: 22% of US workers worry AI will make their job obsolete (Gallup), and 41% of employers expect to cut headcount because of AI within five years (World Economic Forum, Future of Jobs 2025). He also introduces AIRD, or Artificial Intelligence Replacement Dysfunction, a proposed framework from McNamara and Thornton at the University of Florida that names what people feel: fear of obsolescence, loss of occupational identity, demoralization, even 2 a.m. job-listing insomnia. Jennifer Cameron (CEO, Blend Me) unpacks change fatigue after three workplace pivots in six years (work from home, return to office, now AI), why resistance is data rather than a blocker, and how Prosci's ADKAR model moves people from awareness to actual adoption. James Leigh (Kintara AI) and moderator Michael Gold (Gold Project Management) take on the turf war between change management and project management, plus why the shift from "project manager" to "delivery manager" decides whether change lands. You'll also hear the fire-and-rehire versus invest-and-adapt debate, the trust data behind it (Prosci found great change management makes teams seven times more likely to hit objectives, 80% versus 14%), and a four-step model for running delivery and people work together instead of in sequence. Whether you're about to kick off an AI rollout or cleaning up one that stalled, this is a practical, human look at making transformation stick. First in a series from Gold PM and Blend Me. Got a change story or a question? Drop it in the comments. CHAPTERS 0:00 Introduction: AI's People Problem, Not a Tech Problem 8:00 Why 70% of Transformations Fall Short (BCG) 9:30 The AI Event Where Nobody Mentioned Change Management 11:00 Meet the Panel and the ChatGPT Origin Story 16:00 Change With No Voice Grows Fear 17:00 Why Employees Fear AI: The Gallup Data 19:00 Three Workplace Pivots in Six Years and Trust Erosion 21:30 AIRD: Artificial Intelligence Replacement Dysfunction 23:30 Fire and Rehire vs Invest and Adapt 27:00 Q&A: Which AI Fear Resonates Most? 32:00 Change Fatigue and Why Resistance Builds 35:00 What Is Change Management? The ADKAR Model 36:00 Why Resistance Is Data, Not a Blocker 38:00 Why the Time to Support People Is Now 39:30 The "Unlimited Tokens" AI Rollout Story 42:00 Change Management vs Project Management 45:00 Project Manager vs Delivery Manager 47:00 How Delivery and People Run Together 50:00 One Thing to Do Before an AI Rollout 52:30 The Cost of Doing Nothing Is Not Zero 🎙️ Podcast Show Page: https://podfollow.com/return-to-people 📽️ YouTube Channel:    / @blendmeinc   ✅ YouTube Subscribe Link:    / @blendmeinc   🌐 Website: https://www.blendmeinc.com/ 📷 Instagram:   / blendmeinc   📣 X (Twitter): https://x.com/BlendMeInc 💼 LinkedIn:   / blendmeinc   👥 Facebook:   / blendmeinc   #ChangeManagement #AIAdoption #AITransformation #FutureOfWork #OrganizationalChange