To find out the extent to which organizational knowledge efficiency has improved as generative AI and different AI advances have taken maintain, MIT Know-how Assessment Insights surveyed 800 senior knowledge and expertise executives. We additionally carried out in-depth interviews with 15 expertise and enterprise leaders.
Key findings from the report embrace the next:
• Few knowledge groups are conserving tempo with AI. Organizations are doing no higher as we speak at delivering on knowledge technique than in pre-generative AI days. Amongst these surveyed in 2025, 12% are self-assessed knowledge “excessive achievers” in contrast with 13% in 2021. Shortages of expert expertise stay a constraint, however groups additionally battle with accessing recent knowledge, tracing lineage, and coping with safety complexity—essential necessities for AI success.
• Partly in consequence, AI just isn’t absolutely firing but. There are even fewer “excessive achievers” with regards to AI. Simply 2% of respondents price their organizations’ AI efficiency extremely as we speak by way of delivering measurable enterprise outcomes. In truth, most are nonetheless struggling to scale generative AI. Whereas two thirds have deployed it, solely 7% have completed so broadly.
This content material was produced by Insights, the customized content material arm of MIT Know-how Assessment. It was not written by MIT Know-how Assessment’s editorial workers. 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 evaluate.
