Tech

Creating AI value with enterprise context

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 28/10/2026, 21:20:24 UTC.

Briefings

An MIT Technology Review Insights poll reveals that while 16% of organizations use AI, only 16% extract transformative value from their deployments. Most users see moderate gains in specific tasks, with 38% still piloting AI or using it as a co-pilot. A significant gap exists between AI model capabilities and actual organizational utility, as noted by Prukalpa Sankar, co-founder of Atlan. The missing layer identified is a context layer that translates enterprise systems into governed, machine-usable context for AI agents.

Key points

• 16% of organizations surveyed use AI today, yet only 16% extract transformative value from their deployments.
• 38% of respondents are still piloting AI use cases or using it to assist employees' work with tools like co-pilots or chat assistants.

Context

This finding comes from an MIT Technology Review Insights poll conducted in 2026. The report highlights a disconnect between AI model capabilities and actual organizational utility, with a specific identified missing layer being a context layer that translates enterprise systems into governed, machine-usable context for AI agents.

Limitations

The evidence is limited to a single poll conducted by MIT Technology Review Insights in 2026. The report does not provide specific data on the geographic distribution of respondents, nor does it include any quantitative data on the cost of implementing a context layer or the specific technical architecture required to build one.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 28/10/2026, 22:10:01 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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