Action items for AI decision makers in 2026
Expect a level-set year and a sharper focus on enterprise value.
Artificial intelligence has dominated economic and business attention for the past several years. But the hype cycle is slowing as organizations confront the challenges of enterprise AI deployment and the need to drive tangible business value.
In an MIT Sloan Management Review article on their AI predictions for 2026 and a related video, Thomas Davenport and Randy Bean say that they expect a level-set year for AI.
Davenport, a Babson professor and a fellow at the MIT Initiative on the Digital Economy, and Bean, an adviser to Fortune 1000 companies, advise business and technology leaders to focus on the organizational structure, tools, and strategies required for deploying the technology at enterprise scale in the year ahead.
Here are their five AI insights for 2026, along with action items for decision makers:
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