Scaling AI agents with trustworthy data
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- A survey of 300 data and technology executives found that AI agents currently access an average of 45% of enterprise data, with organizations classified as "data laggards" providing access to 30% or less
- "Data leaders" grant AI agents access to over 70% of their data and report 100% trust in their agents' decisions, compared to roughly half of all surveyed organizations who trust agent decisions
- Legacy data systems limit AI agent scaling for 66% of data laggards and slow real-time decision-making for 68% of them; only 8% of data leaders report facing the same constraints
- 100% of respondents plan to use agentic AI within two years, with 69% expecting to deploy it widely across their operations
- Gartner predicts AI agents will augment or automate 50% of business decisions by 2027, intensifying urgency to resolve data bottlenecks
- The report was produced by MIT Technology Review's Insights custom content team in partnership with Google Cloud, and is based on an executive survey rather than a third-party study
Why it matters: With 100% of surveyed executives planning agentic AI adoption within two years, the 66-68% of organizations citing legacy data constraints risk a widening capability gap against the data leaders who have already cleared those roadblocks. The survey links data access directly to trust: only the organizations providing 70%+ data access achieved full confidence in agent decisions.
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