The real challenge with AI is not the technology, it is knowing when leaders should trust the machine and when they should not.In this episode Chris sits down with Vasant Dhar, professor at NYU Stern and the NYU Center for Data Science, longtime AI practitioner, and author of Thinking with Machines: The Brave New World of AI. With more than four decades working in artificial intelligence across finance, healthcare, and research, Dhar shares a practical framework for deciding when leaders should trust AI and when human oversight still matters. His “trust map” evaluates two variables: how often the system is wrong and the consequences of its errors.The conversation also tackles why so many AI pilots fail, why fear rather than greed is driving AI adoption in many organizations, and how leaders should prioritize their first AI initiatives. Dhar explains why deep domain knowledge becomes even more valuable in the AI era, why executives must understand their data before deploying AI, and why the future belongs to people who learn to think with machines rather than simply ask them for answers. Leaders who want a clearer way to evaluate AI opportunities and avoid costly missteps will find this discussion well worth their time.Chapters00:00 Introduction03:23 The Origin of the “Trust AI” Question05:14 The Trust Framework: Predictability vs Cost of Error07:01 Crossing the Automation Frontier09:07 The Three Barriers Holding Leaders Back from AI11:51 Why 95% of AI Projects Fail14:39 How Leaders Should Choose Their First AI Projects19:17 Fear vs Greed in Today’s AI Adoption25:20 Why Leaders Should “Think Slowly” About AI Strategy44:16 The Bifurcation of Humanity in the Age of AI🔎 Find Out More About Vasant DharWebsite:https://vasantdhar.com Book: Thinking with Machines: The Brave New World of AIPodcast: Brave New WorldSubstack Newsletter:https://vasantdhar.substack.com🛠 AI Tools and Resources MentionedChatGPThttps://chat.openai.comClaudehttps://claude.aiGrokhttps://x.aiChief AI Officer (Sponsor)https://chiefaiofficer.comUsing AI at Workhttps://usingaiatwork.com