To find out the extent to which organizational information efficiency has improved as generative AI and different AI advances have taken maintain, MIT Expertise 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 retaining 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 wrestle with accessing recent information, tracing lineage, and coping with safety complexity—vital necessities for AI success.
• Partly because of this, AI is just not totally firing but. There are even fewer “excessive achievers” on the subject of AI. Simply 2% of respondents price their organizations’ AI efficiency extremely in the present day when it comes to delivering measurable enterprise outcomes. In actual fact, most are nonetheless struggling to scale generative AI. Whereas two thirds have deployed it, solely 7% have performed so extensively.
This content material was produced by Insights, the customized content material arm of MIT Expertise Overview. It was not written by MIT Expertise Overview’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.
