Experts argue that the high failure rate in AI adoption isn’t a flaw but an expected outcome: ‘Has anyone ever successfully ridden a bike on their first attempt?’

During Fortune’s Most Powerful Women conference, industry leaders from Microsoft, Bloomberg Beta, and Sola discussed the notion of high failure rates in enterprise AI adoption, emphasizing that failures are part of the learning process. The panel addressed a controversial MIT study stating that about 95% of AI pilots fail, arguing that such figures should not discourage experimentation. Amy Coleman from Microsoft articulated the importance of fostering an “AI fluency” across teams, highlighting a collaborative approach between tech experts and business users. Jessica Wu of Sola pointed out that historical success rates in enterprise technology weren’t significantly higher, and the current volume of AI testing is naturally resulting in lower success rates. The panel advocated for a cultural shift in organizations, promoting acceptance of failure and experimentation as critical components for AI success. Emphasizing the invaluable role of human input, the discussion underscored the necessity for supportive leadership and a willingness to learn from setbacks in AI implementations.

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