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