95% of AI projects fail, so why do agentic AI leaders keep winning? In Episode 22 of The AI Values Podcast, Edosa Odaro and Lindley Gooden sit down with Tim Carmichael, Chief Data Officer at Chalhoub Group and a former British Army officer, for a conversation that refuses the easy version of the agentic AI story. Tim's argument is uncomfortable for anyone who has quietly assumed hybrid workforce strategy is mostly a technology problem: it's a leadership problem first, decided by servant leadership, AI risk management, and whether entry-level staff are elevated or discarded. Expect a hard look at C-suite AI literacy, board AI literacy, and why the AI project failure rate keeps climbing even as AI adoption accelerates.Tim Carmichael is Chief Data Officer and a former British Army officer who later built an airline from the ground up. He now also works as an executive coach, known across the data and AI leadership circuit for his focus on servant leadership.LinkedIn Tim Car: https://www.linkedin.com/in/tim-carmichael-link/WHAT IS COVERED► Tim breaks pitching AI initiatives into three reactions: glazy eyes, rolly eyes, or sparkly eyes. He explains why chasing the sparkly-eyed leaders first is the fastest route to agentic AI adoption that actually sticks.► "Don't throw your brain away when you're using AI." Tim's warning lands squarely on the human supervision of AI debate, and why treating agentic AI as an intern, not a replacement, keeps leaders in control.► Entry-level jobs used to build careers on repetitive, predictable work. Tim argues leaders must now deliberately elevate what entry-level jobs teach, the questioning and the nuance, instead of just automating the routine away.► Why do AI projects fail at rates as high as 95 percent? Tim pushes back on the doom-laden framing and reframes the AI project failure rate question around whether leaders understand the problem they're actually solving.► From the boardroom to the call centre, Tim walks through what board AI literacy actually requires, and why "just because you can doesn't mean you should" is the working definition of ethics behind his own AI risk management decisions.⏰ Episode timestamps00:00 - Cold Open: Which Eyes Are You Making Right Now? 01:57 - Servant Leadership Is the Root of AI Leadership 06:15 - Agentic AI Pitches: The Glazy Eyes, Rolly Eyes, Sparkly Eyes Test 08:08 - AI Leadership as Translation: The Interpreter Approach 10:42 - Hybrid Workforce: Playing to Human and Machine Strengths 15:15 - Why 95 Percent of AI Projects Still Fail 19:53 - The One Leadership Quality Agentic AI Cannot Replace 33:00 - Humans Supervised by Machines: Where AI Governance Draws the Line #TheAIValuesPodcast #AIGovernance #AIRiskManagement #ResponsibleAI #podcast──────────────────────────────────────ABOUT THE AI VALUES PODCAST:The AI Values Podcast is where leaders come to think clearly about the trade-offs behind AI adoption not just the opportunities. Hosted by Edosa Odaro (author, 'The Values of AI') and Lindley Gooden (author, 'The Future of Truth'), with weekly conversations at the intersection of AI, trust, governance, and the future of work.🎙 SUBSCRIBE to The AI Values Podcast for honest, rigorous conversations at the intersection of AI ethics, AI governance, and business leadership.◼ Find out more about the Institute ◼ Co-Host: Edosa Odaro & Lindley Gooden