Europe Seeks AI Sovereignty Amid US-China Safety Debate

Europe finds itself on the sidelines of the escalating global debate over AI safety, despite having enacted the world's most comprehensive AI legislation. The continent's predicament centers on a fundamental tension: it excels at regulation but lacks the frontier AI companies driving both innovation and risk.

Christine Lagarde, president of the European Central Bank, framed the dilemma starkly this week. Europeans face two options, she said: reject AI technology and sacrifice economic growth, or embrace it and become dependent on tools developed by the United States and China. Her proposed solution calls for Europe to develop its own AI capabilities and build more datacenters to "nullify the threat of being cut off" by either superpower.

Why it matters

Europe's absence from the AI safety conversation reveals a deeper strategic vulnerability. Without homegrown companies at the scale of OpenAI, Anthropic, or Nvidia, the continent has limited influence over how frontier AI models are developed and governed—even as those systems will profoundly affect European citizens and economies. The gap between regulatory authority and technological capability leaves Europe dependent on decisions made in Silicon Valley and Beijing.

The sovereignty challenge

Margrethe Vestager, former EU competition commissioner, co-authored a report echoing Lagarde's concerns. "A Transformative AI Strategy for Europe" warns that European citizens "are already bearing the economic and social consequences of decisions taken elsewhere." The report recommends building datacenter infrastructure and ensuring the continent can withstand "AI crises" like powerful models evading control.

Vestager acknowledged that Europe does have a voice through its EU AI Act, which requires developers of high-risk AI systems to report safety incidents and address control risks. But she emphasized the need to "build its own AI to strengthen the ecosystem, retain talent, and inspire innovation."

Ursula von der Leyen, president of the European Commission, announced plans to invite major AI labs for discussions on industry pacing efforts. However, her remarks gained little traction compared to statements from Donald Trump and Chinese officials dismissing any slowdown—underscoring that without Washington or Beijing's support, coordinated pacing remains impossible.

A different perspective on the race

Not everyone accepts the premise that Europe is hopelessly behind. Frederike Kaltheuner of the AI Now Institute argues that the "race" narrative reflects a narrow view promoted by American tech executives. Many companies aren't adopting frontier models like ChatGPT due to high costs and data security concerns, she notes.

The EU AI Act addresses practical matters like labeling AI content and regulating AI use in medicine and hiring—measures that may prove more relevant than access to cutting-edge models. "Europe has a competitiveness problem, that's true," says Itxaso Dominguez de Olazabal of digital rights organization EDRI, but US tech advocates are "blaming it on laws and protections" while promising deregulation will boost competitiveness "in a race to the bottom."

Georgina Kon, a partner at law firm Linklaters, notes the EU AI Act is unlikely to become a global benchmark due to criticisms of its heavy compliance burden and narrow territorial focus. "The EU AI Act is not something that everybody else in the world feels constrained by," she says.

Kaltheuner warns that doomsday narratives could push Europe toward greater dependency, encouraging adoption of US AI models across the economy out of "ill-defined fears over being left behind." A future where Europe's economy and public sector run on infrastructure controlled by a small number of US companies "would be a sovereignty problem," she says.

These details were first reported by The Guardian.