For years, the conversation about AI in European business has been dominated by American platforms - and understandably so. The capabilities were genuine, the integration paths well-documented, and the path of least resistance for most procurement teams was simply to follow where the market had already gone. The trade-offs, legal and structural, rarely made it into the same conversation as the demo.
That is starting to change - not because the platforms have changed, but because the regulatory and geopolitical context around them has.
Europe Is Running on Infrastructure It Does Not Own
More than 70% of Europe’s cloud market is controlled by three American companies, all operating under US federal law. 97% of cloud infrastructure running European businesses and institutions is owned by non-European providers. Finland and Poland - countries that actively shape EU digital policy - run over three quarters of their public digital infrastructure on a single US vendor. This did not happen through bad decisions. It happened through thousands of individually reasonable procurement choices, made over two decades, before the legal implications were widely understood.
The legal dimension is what makes this structural rather than cosmetic. Under the US CLOUD Act and FISA Section 702, American authorities can compel US-headquartered technology companies to produce data stored anywhere in the world - including on servers physically located inside the EU. A data residency agreement does not override this. GDPR does not override this. The jurisdiction of the vendor takes precedence, regardless of where the data sits.
The investment gap is real - but it is not the whole story
In 2025, the United States committed $285.9 billion in private AI investment. Europe committed $8 billion - a gap that sits on an entirely different scale. What makes this more instructive, however, is what China’s trajectory reveals: a country that has nearly matched US AI capability while spending 23 times less. The race is not determined solely by who spends the most, but by what gets built, and with what strategic intent behind it.
Europe’s path is not to replicate Silicon Valley’s model, and attempting to do so would almost certainly fail. The more credible opportunity is to build AI that is trustworthy, auditable, and legally sovereign - and to establish that as the global standard for responsible enterprise AI. The EU AI Act, GDPR, NIS2, and DORA are not obstacles to adoption. They are the emerging specification for AI that regulated industries worldwide will eventually need to meet, and Europe is years ahead in knowing how to build to that standard.
The policy direction is clear
The Draghi report described Europe’s technology dependency in existential terms, noting that only four of the world’s top 50 technology companies are European, and calling for €800 billion in annual investment to address the structural gap. The European Commission’s response in early 2025 - €200 billion committed to AI infrastructure, including five large-scale computing facilities being built on European soil - represented the most concrete policy commitment the continent has made on this question. EU data centre capacity is projected to triple within seven years.
The regulatory side has moved with similar clarity. The Cloud Sovereignty Framework published by the European Commission in October 2025 set out eight requirements every provider must meet to qualify for EU contracts, and when a €180 million contract was awarded in April 2026, every winning company was European. For the first time, sovereignty has moved from a vendor promise to a procurement criterion, with national governments across Europe expected to adopt the same approach.
What this means at the organization level
The question for most organisations is no longer whether to take AI sovereignty seriously - regulators have already answered that. The practical question is how to make the transition without disrupting operations that already depend on AI, and without the kind of overnight exposure that comes from discovering the problem after a regulator does.
Three things determine whether an organisation is genuinely sovereign in its AI operations. The first is where the model runs - on-premise, private cloud, or hybrid deployment means both the model and the data live inside your governance perimeter, and the answer to a regulator’s question is simple and verifiable. The second is whether your data trains someone else’s model, which many organisations using public AI platforms today cannot answer with confidence, because the terms of service under which they operate do not require them to know. The third is auditability - full audit trails, access controls, and explainability that satisfy both internal governance requirements and external regulatory scrutiny, built into the system from the start rather than layered on after deployment.
How Sirma.AI Enterprise supports the transition
Sirma has been building enterprise AI systems in highly regulated industries since 1992, long before sovereignty became a market category. We are incorporated in the EU, listed on European stock exchanges, and governed entirely by EU law.
Sirma.AI Enterprise is a sovereign AI platform designed specifically for organisations that operate under this kind of scrutiny. Data never leaves your infrastructure, is never used to train external models, and carries no extraterritorial legal exposure. Every deployment is built with full audit capability, role-based access controls, and compliance architecture aligned to the EU AI Act, GDPR, NIS2, and DORA - not as optional additions, but as the foundation the system is designed around.
We did not pivot to sovereignty when it became a popular topic. The industries we have served for three decades have always demanded it, and that accumulated experience is what makes the difference between a platform that claims compliance and one that was built for it from the ground up.
The window to make this choice on your own terms - before a regulatory deadline, a procurement requirement, or an external event forces it - is still open. If you want to understand what sovereign AI looks like inside your organisation, we are ready to show you.
Learn more about our platform: Sirma.AI
