2026 State ofOwned AI Report
Which AI should you own?
Enterprises can rent AI in a single afternoon, but they can’t rent the part that keeps getting better and makes their company stand out among competitors.
Sovereignty asks where AI runs. Ownership asks who controls whether it gets better.
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13,800 leaders · eight surveys
What you’ll learn
- 01
Why leaders say they want to own AI, and what stops them.
What the survey data shows about the gap between intent and action.
- 02
How to decide what to rent and what to own.
Why the answer depends on the workload, not the vendor.
- 03
What enterprise AI actually spends its time on.
And why that changes what is worth building.
- 04
Why most AI projects stop getting better after launch.
Where the compounding asset is, and why most teams miss it.
- 05
How big the map of enterprise AI really is.
Whether it is small enough to plan against.
What is behind it
13,800
leaders across eight surveys
603
reconciled source records
557
canonical decision engines
1,574
evidence-ledger rows
573
production implementation stacks
Separate counts. One production stack may support several engines, and the catalog analysis has not been externally audited.
Which AI should you own?
Five questions. The full answers are inside.
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