Europe is moving to build a new layer of AI infrastructure, but the scale of the effort also shows how large the global computing race has become. The European Commission has opened bidding for up to seven AI gigafactories across Europe, with a funding package of around 30 billion euros aimed at increasing access to the computing power needed for advanced AI.
What Europe wants to build
The planned AI gigafactories are meant to sharply expand Europe's AI computing capacity. In practical terms, that means creating large facilities where powerful hardware can be used to train and run large AI models.
The Commission's plan is not only about public-sector use. The facilities would be available to startups, companies, research institutions, and government agencies. That range matters because AI infrastructure is useful only if a broad set of organizations can reach it, not just the largest companies.
Eighteen member states, including Germany and France, are taking part. The project therefore sits at the European level, while still depending on national participation and private investment to reach its intended scale.
How the funding is structured
The financing model combines public money with private capital. Up to 10 billion euros in EU and national funding is expected to draw at least 20 billion euros in private investment. Together, that points to a total package of around 30 billion euros.
That structure shows the Commission is trying to use public funding as an anchor rather than as the whole budget. The public contribution is designed to make the projects attractive enough for private investors to commit money at a much larger scale.
The bidding process will determine who can build the facilities and how the plan turns into actual infrastructure. Applications are due November 12, 2026, and construction of the first facilities is set to begin in 2027.
Hardware access is part of the plan
AI gigafactories depend on more than buildings and budgets. They also need access to the hardware used to train and run large AI models. The Commission has signed letters of intent with AMD, Nvidia, and Qualcomm to secure access to hardware.
That step is important because computing capacity is tied directly to available chips and related systems. Without hardware access, funding alone would not deliver the infrastructure that startups, companies, research institutions, and government agencies need.
The project is part of the EU's "AI Continent" strategy. Within that broader strategy, the gigafactories are a way to turn policy ambition into physical computing capacity.
The U.S. spending comparison is stark
The same figures also reveal the size of the gap Europe is facing. Major U.S. tech companies alone plan to spend more than $600 billion on data centers this year, and that figure keeps rising.
Compared with that, Europe's total package of around 30 billion euros is roughly 20 times smaller. The difference does not mean the European plan is irrelevant. It does mean the plan is being launched in a market where the largest private actors are spending at a far greater level.
If all that computing power is actually needed, Europe's investment would be a drop in the bucket. That is the central tension around the AI gigafactories program: it is a serious infrastructure push, but it is also modest beside the spending plans of major U.S. tech companies.
What the effort signals
The European Commission's bidding process signals that Europe wants more control over the infrastructure behind AI development. Access to large-scale compute can shape who gets to build advanced models, who can test them, and who can deploy them at scale.
For startups and research institutions, shared or accessible AI computing capacity could matter because training and running large AI models requires infrastructure that is not easy to assemble independently. For government agencies, it could provide a route to using large AI models without relying only on external capacity.
The outcome now depends on bids, financing, hardware access, and construction. The timetable is already defined: applications are due November 12, 2026, and the first facilities are set to begin construction in 2027. The larger question is whether up to seven AI gigafactories and around 30 billion euros can meaningfully shift Europe's place in the AI infrastructure race.