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 Overview Insights surveyed 800 senior knowledge and know-how executives. We additionally performed in-depth interviews with 15 know-how and enterprise leaders.
Key findings from the report embrace the next:
• Few knowledge groups are protecting tempo with AI. Organizations are doing no higher immediately 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—necessary necessities for AI success.
• Partly in consequence, AI isn’t totally firing but. There are even fewer “excessive achievers” in terms of AI. Simply 2% of respondents charge their organizations’ AI efficiency extremely immediately when it comes to delivering measurable enterprise outcomes. In reality, most are nonetheless struggling to scale generative AI. Whereas two thirds have deployed it, solely 7% have performed 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 which will have been used have been restricted to secondary manufacturing processes that handed thorough human overview.
