Definition
Artificial intelligence whose infrastructure, data and models are controlled by the company, without legal dependence on a foreign operator.
Sovereign AI refers to an approach to artificial intelligence where the organization keeps end-to-end control: data never leaves its legal and technical perimeter, models can be run on its own infrastructure, and no foreign provider can either access the processed content or unilaterally cut off the service.
In practice, sovereignty plays out on three levels: legal (the operator is not subject to extraterritorial laws such as the US Cloud Act), technical (on-premise deployment or a trusted cloud, open-source models running locally) and operational (no dependence on a single model provider).
An accounting firm installs its assistant on a server hosted in France by a French provider. Its clients' financial statements never leave that perimeter and are never used to train any model.
As soon as you handle client, health, legal, financial or strategic data, or when your own clients ask you where their information goes.
Is sovereign AI less capable?
For the vast majority of business uses, no. Recent open-weight models compete with the large proprietary models on drafting, summarising and analysing documents, while staying under your control.
All AI models, deployed on your infrastructure, with your documents connected.