AI sovereignty sounds like an abstract concept. Something for policymakers and technologists. But in practice, it comes down to a very concrete question: who has control over the AI your organization uses?
The answer to that question determines whether your data is safe, whether you have vendor lock-in, and whether you will still have access to your system tomorrow if a foreign vendor changes its terms.
The definition
AI sovereignty means that your organization has full control and flexibility over:
- Which data which AI model sees — and which it does not.
- Whether AI models are trained on your data.
- Which model you use and how it is configured.
- Where the infrastructure is located: in the Netherlands, in the EU, or on-premise.
- Who the vendors are and what their terms are.
Sovereignty is not an all-or-nothing choice. It is a combination of architectural decisions that together determine how much control you have.
Why this is relevant right now
In early 2026, Anthropic, the maker of the AI model Claude, declined a contract with the U.S. Department of Defense. The Pentagon wanted Anthropic to make its technology available for all lawful purposes — including scenarios such as mass surveillance and autonomous weapons systems. Anthropic refused and was designated as a 'supply-chain risk'.
OpenAI signed a similar contract shortly after.
This exposes a fundamental vulnerability: if your AI platform is in the hands of a foreign company, you do not set the boundaries. Political pressure, legislation, or an acquisition can affect how your AI systems operate — without you being able to do anything about it.
The Dutch perspective
The Netherlands is heavily dependent on American tech. The sale of Solvinity — which included the infrastructure of DigiD — to the American company Kyndryl made this painfully clear.
AI does not reduce this dependency; it makes it exponentially greater. Whoever controls the AI layer ultimately controls the system.
The 2026-2030 coalition agreement acknowledges this. Digital autonomy and AI development are explicitly named as priorities. The government aims to reduce strategic dependencies in cloud computing.
AI sovereignty in practice
A consultancy that works with confidential client files can deploy soev.ai as a fully sovereign AI platform. The data stays in Dutch cloud, the model is open source and auditable, and there is no dependency on a single vendor.
If the political situation changes tomorrow, or a vendor modifies its terms, the firm has all options open. That is AI sovereignty. Not an ideal, but a design choice.
Frequently asked questions
Is open source the same as sovereign?
Not necessarily. Open source means the code is transparent. Sovereignty goes further: it also concerns where the model runs, who manages the infrastructure, and whether you can migrate your data.
Can a small organization also be sovereign?
Yes. soev.ai is available as SaaS in Dutch cloud, starting from small teams. You do not need your own data center.
Learn more
Visit soev.ai/en/security-compliance or read how custom AI implementation gives organizations full control.
- Security and compliance: soev.ai/en/security-compliance
- Custom AI implementation: soev.ai/en/solutions/custom
- soev.ai for government: soev.ai/en/sectors/government