EU lays out $11.4 billion for 7 AI gigafactories as it aims to catch up with US and China

The European Union is offering $11.4 billion in funding for firms to erect seven AI gigafactories as it seeks to close the AI gap with U.S. and China, the 27-nation bloc's executive said on Thursday.

The European Union is offering $11.4 billion in funding for firms to erect seven AI gigafactories as it seeks to close the AI gap with U.S. and China, the 27-nation bloc's executive said on Thursday. (Michael Probst, Associated Press)


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KEY TAKEAWAYS
  • The EU offers $11.4 billion to construct seven AI gigafactories to compete globally.
  • An additional $22.8 billion in private investment is expected for these projects.
  • Europe's AI development lags behind U.S. and China, raising tech sovereignty concerns.

BRUSSELS — The European Union is offering $11.4 billion in funding for firms to erect seven AI gigafactories as it seeks to close the AI gap with U.S. and China, the 27-nation bloc's executive said on Thursday.

The European Commission said it would like the public financing to draw an additional $22.8 billion in private investment.

"Access to the raw scale of computing power within AI gigafactories is a strategic necessity for Europe as AI development accelerates," said Henna Virkkunen, the Commission executive vice president overseeing tech sovereignty.

The efforts by Brussels to establish "tech sovereignty" have gained urgency as leaders worry about dependence on technologies from foreign providers, which they say could be "weaponized" against Europeans. President Donald Trump has railed against the EU over its tech regulations and China has limited the supply of minerals critical to the sector.

Firms can now bid for contracts to build gigafactories that are planned to have at least 100,000 cutting-edge AI chips, making them roughly four times more powerful than the data centers currently running in the EU.

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

Europe lags far behind the U.S. and China in crucial sectors for the development of AI, according to a 2025 assessment by the U.S. Federal Reserve. China has an enormous electrical power capacity for data centers while the U.S. bags the lion's share of private AI investment.

Europe doesn't manufacture many of the millions of components needed for data centers and electricity in the EU can cost double or triple what it does in the U.S. and China, according to a Commission report presented to European Parliament in June.

"European businesses and public authorities will continue to rely on US AI providers to the detriment of European service providers struggling to work at the frontier," said the report, which listed the bloc's top five cloud service providers as all American. "Dependence on hyperscale cloud and AI computing service providers, particularly for highly critical use cases, will continue to expose data to third-country access and carry risks to service continuity, endangering operational autonomy."

France's Mistral now runs the one of the largest AI data center in the EU so far at its campus in Paris. Mistral makes the Le Chat chatbot but it hasn't kept pace with American AI companies like OpenAI, maker of ChatGPT, and Chinese rivals like DeepSeek.

While political leaders like French President Emmanuel Macron have raised the alarm about Europe lacking homegrown AI companies, deep anxieties run rife across the continent about the economic disruption and privacy implications of the nascent technology.

The Commission said AI products developed with the growing network of data centers will "follow EU standards on data protection, safety, security and ethics," perhaps referring to the bloc's Digital Services Act and its Digital Market Act.

In June, 40 mayors around the world signed a pact to curtail the negative impact of the construction of AI data centers on the natural resources, energy prices or climate targets of cities from Phoenix to Melbourne.

The Key Takeaways for this article were generated with the assistance of large language models and reviewed by our editorial team. The article, itself, is solely human-written.

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Sam Mcneil

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