
What happened
An MIT Technology Review Insights poll found that while every organization surveyed uses AI, just 16% extract transformative value; 40% see moderate gains, 21% meaningful gains, and 23% minimal or none.
Why it matters
The results suggest most companies are still in early stages—38% are piloting use cases and 35% are assisting employees with tools like co-pilots—so the gap between AI capability and business value remains wide.
Summaries like this, every morning.
The poll paints a picture of widespread AI adoption without commensurate returns. While every organization surveyed uses AI to some degree, fewer than one in five report transformative value, and nearly a quarter see minimal or no returns. This suggests that simply deploying sophisticated tools is not enough; the missing ingredient, according to Prukalpa Sankar of Atlan, is context—how well AI understands a specific business.
Most companies remain in early phases: 38% are piloting use cases and 35% are using AI to assist employees through copilots or chat assistants. Only 12% have AI agents in production and 3% use AI for most work in key processes. The gap between capability and usefulness is stark, and Sankar's analogy of a blindfolded intern illustrates why context layers may be essential for translating enterprise intelligence into governed, machine-usable context for AI.
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