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MIT Study: 95% of Enterprise AI Pilots Fail Due to Organizational Gaps, Not Technology Flaws

By

mooreds

8mo ago· 8 min readenInsight

Summary

MIT research reveals that 95% of enterprise AI pilots fail to deliver measurable business impact, not because the technology is flawed, but due to organizational challenges in moving pilots from lab to production. Key failure points include data readiness issues, lack of adoption strategy, and inability to create measurable outcomes. The article positions Selector as a solution to help enterprises bridge this gap and succeed where most fail.

Key quotes

· 3 pulled
When MIT released research showing that 95% of enterprise AI pilots fail to deliver measurable business impact, it made headlines for a reason.
What fails is the ability to take those pilots out of the lab and into the organization in a way that creates measurable outcomes.
In most cases, the technology performs as intended. What fails is the ability to take those pilots out of the lab and into the organization.
Snippet from the RSS feed
MIT reports 95% of AI pilots fail. Learn why most initiatives stumble on data readiness and adoption—and how Selector helps enterprises succeed.

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