E39 - 95% of AI Projects Fail. Here's the Part Nobody Told You.
About this episode
Nick Dreyfus discusses the high failure rate of AI projects in businesses and the misconceptions surrounding their effectiveness.
95% of company AI projects showed zero return. Not small. Zero. No measurable impact on the bottom line. That number comes straight out of MIT this past year, and the moment it hit, every headline reached for the same lazy conclusion: AI is overhyped, the technology is not ready, it is all smoke. It is not. You were sold a lie, and it did not come from the technology. It came from the people selling it. Every AI and LLM company has everything to gain by telling you their tool can do things it flat out cannot, because the bigger the promise, the bigger the check you write. And the biggest promise of all is the one you have heard a hundred times: it can replace your people. In this episode of The Digital Dilemma, Nick Dreyfus breaks down what the MIT NANDA report (The GenAI Divide: State of AI in Business 2025) actually found, why 95% of enterprise generative AI pilots deliver no measurable impact on the P&L, and what the 5% who are winning understand that everyone else missed. If you are a CEO, CFO, business owner, or executive trying to separate real AI ROI from hype, this one is for you. What you will learn: The real reason most enterprise AI projects fail, and why it starts…
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