The AI Adoption Gap: Why 95% of Enterprise Pilots Fail
A new MIT report reveals a stark reality: while generative AI holds immense promise, most enterprise initiatives aimed at rapid revenue growth are failing. Only about 5% of AI pilot programs achieve significant revenue acceleration; the vast majority stall, yielding minimal impact. The research highlights that the problem isn't the AI models themselves, but rather a 'learning gap' in enterprise integration. Successful AI deployments hinge on strategic tool selection (purchasing from specialized vendors and building partnerships boasts a 67% success rate), empowering line managers to drive adoption, and choosing tools that deeply integrate and adapt over time. The report also underscores the prevalence of 'shadow AI' and the ongoing challenge of measuring AI's impact on productivity and profit.