An MIT Technology Review Insights poll found that fewer than one in five organizations (16%) are getting transformative value from their AI deployments. The poll, as described in the source, found that 40% of respondents see moderate gains in specific tasks or teams, 21% report meaningful gains, and 23% report minimal or no returns.
The poll also found that 38% of respondents are still piloting AI use cases, and 35% use AI to assist employees with tools such as co-pilots or chat assistants. Only 12% have AI agents in production, and 3% say AI does most of the work in key processes.
Prukalpa Sankar, co-founder of Atlan, says the gap comes from context, meaning how well AI understands a business. She describes a context layer as infrastructure that sits between an organization's business systems and its AI platforms. It turns enterprise information into governed, machine-usable context for AI agents or models. "Without a context layer for AI, it's almost like you're hiring the smartest intern in the world, blindfolding them, and throwing them into your organization," Sankar says.
The source is sponsored content produced by MIT Technology Review Insights, not its editorial staff.