Ep29 Avoid the 95% Enterprise AI Failure Trap (MIT Report Explained) episode artwork

EPISODE · Oct 7, 2025 · 52 MIN

Ep29 Avoid the 95% Enterprise AI Failure Trap (MIT Report Explained)

from AI Outcomes · host Ben Drakes

MIT reports 95% of enterprise AI pilots fail. Why? In this episode of AI Outcomes, Rickard Hansson (CEO of Weavy) returns to unpack the real reasons so many AI initiatives crash and burn—and what to do instead.We break down MIT’s State of AI in Business 2025 report and explore what’s going wrong in enterprise POCs: lack of integration, poor workflows, unclear outcomes, and vendors over-promising on “magic” AI agents.Rickard also shares how he built a community intelligence tool in under 14 hours using vibe coding and retrieval-augmented generation (RAG). It’s a live case study in getting AI right—from problem framing to workflow fit.Chapters:00:00 Introduction02:02 Building a Community Intelligence Tool12:41 MIT Report Deep Dive17:46 Why POCs Fail (and How to Fix Them)26:24 Real-World Example: Sarah in HR28:24 The Right Way to Use RAG38:54 AI vs. Human Tasks39:59 What Executives Want From AI50:56 Final ThoughtsIf you’re tired of AI hype and want to hear what actually works—this episode is for you.Connect with Rickard: https://www.linkedin.com/in/rickardh/#AIOutcomes #EnterpriseAI #RickardHansson #GenerativeAI #AIAgents #RAG #AIWorkflow #AIFails #MITAIReport #ProofOfConcept #DigitalTransformation #TechLeadership #AIPodcast #VibeCoding #BusinessAI

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MIT reports 95% of enterprise AI pilots fail. Why? In this episode of AI Outcomes, Rickard Hansson (CEO of Weavy) returns to unpack the real reasons so many AI initiatives crash and burn—and what to do instead. We break down MIT’s State of AI in Business 2025 report and explore what’s going wrong in enterprise POCs: lack of integration, poor workflows, unclear outcomes, and vendors over-promising on “magic” AI agents. Rickard also shares how he built a community intelligence tool in under 1...

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Ep29 Avoid the 95% Enterprise AI Failure Trap (MIT Report Explained)

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