AI sovereignty is the mastery
of dependencies.
Not their absence.
tointelligence · omer taki
· the common misunderstanding

Sovereignty is not autarky.

When executives hear "AI sovereignty", they often think of on-premise hosting, domestic servers, rejection of American tools. This interpretation is both too restrictive and often impractical.

Real AI sovereignty for a company is not the absence of dependencies on foreign actors. It is the ability to choose those dependencies deliberately, manage them, and exit them if conditions change. An organisation that uses AWS and OpenAI can be sovereign if it has mapped its dependencies, negotiated its terms, and maintained exit options. An organisation using locally-hosted servers but locked into binding contracts is not.

AI sovereignty is measured by the mastery of dependencies, not by their geographic location.
· three dimensions of sovereignty

What a sovereign company actually controls.

decisions
Decision control
Critical organisational decisions remain under human control. AI systems assist, inform or recommend, but strategic and high-impact decisions are supervised and can be overridden.
data
Data control
The organisation knows which data flows to which vendors, under what conditions it can be used, and how to retrieve it. Critical proprietary data is not surrendered without explicit decision.
dependencies
Reversibility
For each significant AI dependency, the organisation has estimated exit cost and maintained a realistic alternative. It will not discover it is locked in when vendor conditions change.
· why it is urgent

The decision window is closing.

AI sovereignty is easier to build before accumulating dependencies than after. The growing concentration of the AI sector : a few actors controlling the most performant models : makes this question more urgent each quarter.

AI sovereignty is built before you need it. Once dependencies are created, recovering it comes at high cost.
· link with EU AI Act

Regulation points in the same direction.

The EU AI Act requires operators of high-risk systems to demonstrate control over those systems: effective human oversight, decision traceability, ability to intervene and correct. These are exactly the conditions of AI sovereignty as we define it. Organisations that build their AI sovereignty now simultaneously satisfy their future EU AI Act obligations and protect their competitive position.