EU Opens Bidding for Seven AI Gigafactories in €30 Billion Push to Challenge US and China Dominance

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The European Union has launched a tender for seven AI gigafactories with €10 billion in public funding, aiming to attract €20 billion in private investment. This infrastructure push seeks to close the AI gap with the US and China by providing compute capacity to train frontier models, though only €1 billion is currently committed.

EU AI Gigafactories Aim to Close Computing Power Gap

The European Commission has opened bidding for up to seven AI gigafactories across the bloc, marking a strategic push to build sovereign AI infrastructure and reduce dependence on US and China

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. The initiative represents roughly €30 billion in total investment, split between €10 billion in public funding and an expected €20 billion in private investment

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. Each facility will house at least 100,000 cutting-edge AI chips, making them approximately four times more powerful than the largest data centers currently operating in the European Union

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. These large-scale computing facilities will combine advanced AI processors, software, cloud technology, high-speed connectivity and data center infrastructure to train frontier AI models

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Source: Euronews

Source: Euronews

Tech Sovereignty Drives Infrastructure Investment

Henna Virkkunen, the Commission's executive vice president overseeing tech sovereignty, emphasized that access to raw computing power within AI gigafactories represents a strategic necessity for Europe as AI development accelerates

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. The initiative expanded from an initial plan of five gigafactories to seven following strong interest from EU countries, with 76 potential consortia expressing preliminary interest

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. Ten member states including Germany, France, Italy, Spain, and Poland have signaled interest in hosting these facilities

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. The push for tech sovereignty has gained urgency amid geopolitical tensions, with leaders expressing concern about weaponization of foreign technologies and China's restrictions on critical minerals

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Source: Market Screener

Source: Market Screener

Funding Structure and Timeline Challenges

The bidding process is structured in two lots under a joint procurement agreement signed by 18 member states who will match EU funding

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. The first lot supports up to four projects with €100 million initially and up to €400 million more in a second phase, while the second lot covers up to three projects with €200 million initially and up to €800 million in phase two

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. However, only approximately €1 billion of Brussels' contribution is currently committed, with the remaining funds dependent on the next Multiannual Financial Framework, which remains under negotiation

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. The tender process closes on November 12, with successful bidders expected to be announced in early 2027 and facilities becoming operational by mid-2028, within 18 months of contract signing

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Persistent Dependencies on American Chip Suppliers

Despite the sovereignty ambitions, the European Union faces a fundamental contradiction in its AI infrastructure plans. Nvidia, AMD, and Qualcomm have signed letters of intent with the Commission to provide chips to groups involved in the gigafactory projects

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. This means the bloc would be purchasing its independence from the very American companies it seeks independence from

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. Europe doesn't manufacture many of the millions of components needed for data centers, and a Commission report presented to European Parliament in June listed the bloc's top five cloud service providers as all American

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. The report warned that European businesses and public authorities will continue relying on US AI providers to the detriment of European service providers struggling to work at the frontier

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Source: Silicon Republic

Source: Silicon Republic

Compute Capacity and Competitive Positioning

The EU's current computing power, delivered by a network of 19 AI factories from Finland to Spain, will more than double when these seven gigafactories come online

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. These facilities are designed to give companies, startups, universities and public authorities access to compute capacity for training, inference and fine-tuning frontier AI models

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. In exchange for public contribution, the EU and supporting member states will receive proportionate compute access to allocate to public projects, research centers and AI labs

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. According to a 2025 Federal Reserve assessment, Europe lags far behind the US and China in crucial AI sectors, with China possessing enormous electrical power capacity for data centers and the US capturing the lion's share of private AI investment

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Energy Costs and Operational Hurdles

Electricity in the EU can cost double or triple what it does in the US and China, presenting a significant constraint on AI capabilities

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. Data center power is already a limiting factor that no amount of subsidy can quickly resolve

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. All operating costs will fall on private actors involved, with EU officials insisting projects must be financially sustainable by developing commercial services, given that access to AI compute remains scarce and valuable

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. The Commission stated that AI products developed with this infrastructure will follow EU standards on data protection, safety, security and ethics, referencing the Digital Services Act and Digital Market Act

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. France's Mistral currently operates one of the largest AI data centers in the EU at its Paris campus, making the Le Chat chatbot, though it hasn't kept pace with American competitors like OpenAI or Chinese rivals like DeepSeek

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. Critics question whether renting sovereign-branded capacity built on foreign-owned hardware delivers genuine independence or merely reinforces an illusion, arguing Europe's real gap lies in chips and large language models rather than buildings

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