RAND studied 2,400 AI projects. Only 19.7% succeeded, and the failure pattern is almost identical every time

Reddit r/ArtificialInteligence 05/29/26, 09:27 PM News

ai-projects failure-rate enterprise-ai strategy governance data-foundations executive-sponsorship

Summary

A RAND study of 2,400 AI projects found only 19.7% succeeded, with 77% of failures due to strategy and governance issues rather than technology. Companies with strong data foundations achieved 10.3x ROI versus 3.7x for weak data, and sustained executive sponsorship was critical to success.

Something keeps coming up in the enterprise AI data that I think gets overlooked in most AI discussions. The failure rate is around 80%. That part gets attention. But the reason almost never does. * 77% of failures: strategy, governance, change management * 23% of failures: the actual technology Companies with strong data foundations get 10.3x ROI. Companies with weak data get 3.7x. Same models. Same vendors. Nearly 3x difference in outcomes based purely on what they built before touching any AI. And the leadership stat is the one I keep coming back to. 56% of AI projects lose active executive support within 6 months. Success rate with sustained sponsorship: 68%. Without it: 11%. Curious whether people think this changes as the tools get easier to use, or whether the organizational problems just get more expensive. Source: [https://www.pertamapartners.com/insights/ai-project-failure-statistics-2026](https://www.pertamapartners.com/insights/ai-project-failure-statistics-2026) Made a short visual breakdown of these numbers: AI narrated, cinematic style, about 3 minutes: [https://youtu.be/cPwSmHR4qWk](https://youtu.be/cPwSmHR4qWk)

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