For the past two years "sovereign AI" sounded like a conference slogan. Something you discuss on a panel, then go back to using whatever ships fastest. In 2026 that picture stopped matching the data.
Accenture surveyed 1,928 organizations across 28 countries. The result: 62% of European firms are now actively seeking AI solutions with a sovereign profile. A year earlier it was 49%. That is not a curiosity. It is a thirteen-point shift in twelve months.
In Germany, which for a Polish manufacturer is most often the first export customer, that figure reaches 72%. In Denmark, 80%. And 60% of European organizations say they will increase investment in this category over the next two years.
What actually changed?
Not the technology. Public models are better today than a year ago. What changed is the buyer's risk calculation.
Three things happened at once. Regulation stopped being theoretical: the reforms around NIS2 placed personal accountability on management boards for supply-chain security, and an AI vendor is part of that chain. Second: a run of public data leaks into cloud tools showed that a policy ban isn't enough, because the data ends up there anyway. Third: companies started costing out what it actually means to depend on a single provider that ingests their drawings, offers, and documentation.
Sovereignty stopped being an ideological pose. It became a line item on the risk register.
Sovereign doesn't mean "everything in-house"
Here is the nuance that gets lost in the slogans. The same report shows that only 36% of AI initiatives in European organizations actually require a sovereign approach. The rest can sit comfortably in public cloud, and should.
That matters, because "sovereign AI for everything" is a road to nowhere: more expensive, slower, pointless for handling email or generating marketing graphics. The question is not "cloud or on-prem", it is "which specific processes cannot leave the perimeter".
For a manufacturer the answer is usually precise. Technical documentation. Service ticket history. Drawings and offers from the technical office. These are the data that carry both the highest operational value for AI and the highest regulatory sensitivity. A perfect candidate for sovereign deployment. The rest of the processes can stay where they are.
The Polish angle
For a Polish manufacturer this trend has an extra layer. The first serious customer is often a buyer in Germany, and there the expectation of sovereignty is already high and rising. If your company wants to be a supplier inside a German supply chain covered by NIS2, the way you process data stops being your internal affair. It becomes part of how you are assessed as a vendor.
In other words: a sovereign AI deployment is not only protection ahead of your own audit. It is also a sales argument toward customers who are themselves under the same pressure.
How this looks for us
We built CortexMine for exactly those 36% of processes that cannot leave the perimeter. A private AI platform for European manufacturers, deployed on-prem. Data never leaves your infrastructure, every answer is grounded in your own sources, and the whole thing leaves an audit trail you can put in front of an auditor.
We don't claim everything should be sovereign. We claim that the processes where you handle drawings, offers, and technical documentation should be, and that you can get there without building your own research team from scratch.
If you are wondering which of your AI processes genuinely belong to that 36%, and which can stay in the cloud, that is a good subject for a concrete conversation.
Book 30 minutes with a founder → No pitch. Concrete questions.