Why Almost Every Corporate AI Program Fails (MIT, McKinsey & RAND Data)
Why do most AI projects fail? MIT found 95% of organizations piloting generative AI saw zero measurable return. The data from MIT, McKinsey, RAND, Gartner, S&P Global and BCG on how corporate AI programs fail — and what the successful 5% do differently.
What this video covers
- What the MIT, McKinsey, RAND, Gartner, S&P Global, and BCG findings say about the gap between AI adoption and measurable return.
- Why piloting a tool is different from redesigning a workflow around it.
- What the small group of successful programs does differently when choosing, installing, and measuring AI work.
