To find out the extent to which organizational information efficiency has improved as generative AI and different AI advances have taken maintain, MIT Know-how Overview Insights surveyed 800 senior information and know-how executives. We additionally carried out in-depth interviews with 15 know-how and enterprise leaders.
Key findings from the report embrace the next:
• Few information groups are maintaining tempo with AI. Organizations are doing no higher at the moment 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 contemporary information, tracing lineage, and coping with safety complexity—necessary necessities for AI success.
• Partly because of this, AI isn’t absolutely firing but. There are even fewer “excessive achievers” on the subject of AI. Simply 2% of respondents charge their organizations’ AI efficiency extremely at the moment 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 Overview. It was not written by MIT Know-how Overview’s editorial workers. It was researched, designed, and written by human writers, editors, analysts, and illustrators. AI instruments that will have been used have been restricted to secondary manufacturing processes that handed thorough human assessment.
