{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Everyday AI Made Simple - AI in the News","title":"Enterprise AI - Why 90% Fail And What Actually Works","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/869e0b53\"></iframe>","width":"100%","height":180,"duration":2514,"description":"AI is everywhere right now—but here’s the reality most people aren’t hearing: Up to 90% of enterprise AI projects are failing.\nIn this episode, we break down what’s actually happening inside companies in 2026. You’ll learn how businesses are really using AI today, what’s working across departments like HR, finance, and IT—and why so many expensive AI initiatives are collapsing.\nWe also unpack one of the biggest shifts happening right now: the move from AI “copilots” to fully autonomous agents that can plan, execute, and make decisions with minimal human input.\nBut the biggest takeaway? The problem isn’t the technology—it’s people, processes, and messy data.What you’ll learn: Why most enterprise AI projects fail (and it’s not what you think)  The difference between AI copilots and autonomous agents  How AI is transforming HR, finance, legal, and operations  What “AI generalists” are—and why they’re becoming critical  The real reason employees are resisting (and even sabotaging) AI  How successful companies are actually getting results If you’re trying to understand where AI is really headed—and how it might impact your job or business—this episode gives you a clear, practical view of what’s happening right now.\nBig question to think about:\nIs AI failing… or are companies just using it the wrong way?\nCHAPTERS00:00 – Why 90% of Enterprise AI Projects Are Failing\n02:20 – Copilots vs Autonomous AI Agents Explained\n05:45 – What Does an AI Manager Actually Do?\n07:15 – How AI Is Transforming HR Hiring and Onboarding\n10:45 – AI in Finance: Real-Time Forecasting and Automation\n12:20 – How AI Is Changing Legal and Contract Analysis\n14:05 – AI in Manufacturing: Predictive Maintenance and Quality Control\n17:05 – How AI Is Reshaping Software Engineering Roles\n19:45 – Will AI Replace Jobs or Transform Them?\n22:35 – What Is an AI Generalist (And Why It Matters)?\n25:00 – Why Are AI Projects Failing Despite Powerful Technology?\n29:30 – What Is the 10-20-70 Rule in AI Success?...","thumbnail_url":"https://img.transistorcdn.com/q49T1e2SWVPIvB5ZVkKyfAoFawTaiyksYGlgplhr-IA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNzg1/ODE4MDk4ZjYwYTU4/ZjcxMDRlYmQ4MjVm/NTdiMi5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}