Constructing a excessive efficiency information and AI group (2nd version)

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 Evaluation 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 embody the next:

• Few information groups are conserving 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 contemporary information, tracing lineage, and coping with safety complexity—necessary necessities for AI success.

• Partly because of this, AI will not be 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 by way of 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.

Obtain the report.

This content material was produced by Insights, the customized content material arm of MIT Know-how Evaluation. It was not written by MIT Know-how Evaluation’s editorial employees. It was researched, designed, and written by human writers, editors, analysts, and illustrators. AI instruments which will have been used had been restricted to secondary manufacturing processes that handed thorough human evaluation.