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Ursula von der Leyen, president of the European Commission
(European Union/Getty Images)

Wary of US Big Tech, the EU looks to build its “EuroStack”

European companies are calling for a rapid development of the bloc’s own domestic tech stack.

3/18/25 6:45AM

In the two months since President Trump took office, US allies have had to rapidly reconsider their longstanding relationships with the US.

In trade, defense, and diplomacy, EU countries in particular are taking a hard look at what they can count on in a world where US leadership recedes.

One area that Europe is taking action on is its reliance on US Big Tech.

As the CEOs of the biggest tech companies fall in line with Trump’s agenda, the EU is looking to build its own “EuroStack” of technology to reduce reliance on America’s tech giants.

Last week, a group of 100 European companies and lobbyists sent a letter to EU President Ursula von der Leyen and Executive Vice President for Tech Sovereignty, Security and Democracy Henna Virkkunen urging a rapid development of this EuroStack:

“While enforcement is progressing (at a slow pace and with limited impact), the economic and geopolitical predicament Europe finds itself in — even more so after the election of President Trump — requires urgent action not just to contain US tech corporations in their manifest dealing with European counterparts; but above all to reduce our near-total dependency at the level of ‘infrastructures’, or ‘value chains’ supporting all of our digital experiences.”

Looking in the mirror, Europe sees that it needs EU-based solutions in many areas:

- Advertising
- E-commerce
- Secure communications
- Social media
- Productivity
- App stores
- Chip design and manufacturing
- Quantum computing
- Data centers and supercomputing

Some of the companies that may benefit from this European tech reinforcement include Airbus and Dassault Systèmes.

As AI increasingly secures its place as a crucial national asset for defense, commerce, and scientific research, countries all over the globe are racing to develop their own sovereign AI infrastructure — the talent, data centers, and domestically trained models they will need to compete on the world stage.

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