To find out the extent to which organizational information efficiency has improved as generative AI and different AI advances have taken maintain, MIT Expertise Assessment Insights surveyed 800 senior information and expertise executives. We additionally performed in-depth interviews with 15 expertise and enterprise leaders.
Key findings from the report embrace the next:
• Few information groups are preserving tempo with AI. Organizations are doing no higher in the present day at delivering on information technique than in pre-generative AI days. Amongst these surveyed in 2025, 12% are self-assessed information “excessive achievers” in contrast with 13% in 2021. Shortages of expert expertise stay a constraint, however groups additionally battle with accessing recent information, tracing lineage, and coping with safety complexity—essential necessities for AI success.
• Partly consequently, AI will not be absolutely firing but. There are even fewer “excessive achievers” relating to AI. Simply 2% of respondents charge their organizations’ AI efficiency extremely in the present day by way of delivering measurable enterprise outcomes. The truth is, most are nonetheless struggling to scale generative AI. Whereas two thirds have deployed it, solely 7% have carried out so broadly.
This content material was produced by Insights, the customized content material arm of MIT Expertise Assessment. It was not written by MIT Expertise Assessment’s editorial employees. It was researched, designed, and written by human writers, editors, analysts, and illustrators. AI instruments that will have been used had been restricted to secondary manufacturing processes that handed thorough human assessment.
