# Survey finds only 16% of companies extract transformative AI value

- Published: 2026-10-28T20:32:02.000Z
- Updated: 2026-10-28T22:02:35.225Z
- Section: AI in practice
- Page: https://aidailyjournal.com/en/n/2026/10/28/survey-finds-only-16-of-companies-extract-transformative-ai-value/
- Sources: [MIT Technology Review](https://technologyreview.com/2026/10/28/1147709/creating-ai-value-with-enterprise-context)

## Summary

A MIT Technology Review Insights survey finds that, although every organization surveyed uses AI to some degree, only 16% are extracting transformative value from their deployments. Forty percent report moderate gains in specific tasks or teams, 21% see meaningful gains, and 23% report minimal or no returns. Most are still piloting use cases (38%) or using copilots and conversational assistants to support employees (35%); 12% have AI agents in production and 3% use AI to do most of the work in key processes.

Atlan co-founder Prukalpa Sankar says the gap between what models can do and their usefulness in companies stems from a lack of context. She describes a “context layer” as infrastructure between business systems and AI platforms that turns enterprise intelligence into governed, machine-usable context for models and agents. The material was produced by MIT Technology Review Insights, the publication’s custom-content arm, rather than its editorial staff.

## Why it matters (editorial interpretation)

The data suggests that AI adoption still centers on pilots, copilots, and assistants, while a smaller share reports transformative gains. Prukalpa Sankar’s explanation highlights governed context as a possible infrastructure issue for increasing business value, although the material is sponsored content from Atlan.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._