Europe's AI Independence Problem Takes Center Stage at G7 and VivaTech This Week

Two of Europe's biggest gatherings this week have something unusual in common: neither is really about the technology itself.

At the G7 summit in Evian, France, and at VivaTech in Paris — one of the continent's largest tech conferences — the dominant topic isn't new product launches or research breakthroughs. It's a harder question that's been building for years: can Europe ever build AI independence when it remains structurally dependent on American cloud platforms, chips, and foundation models?

The timing sharpens the question considerably. Just days before both events, the United States tightened access restrictions on Anthropic's most capable AI models for foreign nationals — a move that landed as a pointed reminder of exactly the vulnerability European leaders have been warning about: that a single political decision in Washington can reshape what tools European companies and governments are allowed to use.

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Two Stages, One Anxiety

The G7 meeting in Evian has brought together leaders from the world's wealthiest democracies alongside executives from the AI industry's biggest names — Anthropic, OpenAI, Google, and France's own Mistral among them. The agenda spans AI competitiveness, regulatory alignment, and a related concern that rarely makes headlines but worries policymakers just as much: Europe's reliance on China for the critical minerals that power modern computing hardware.

Meanwhile in Paris, VivaTech is expecting more than 180,000 attendees — founders, investors, policymakers, and high-profile names including Amazon's Jeff Bezos. Despite the conference's reputation as a showcase for new technology, much of this year's conversation is expected to centre on geopolitics and policy rather than product demos.

IBM's senior vice president Ana Paula Assis framed the moment directly, telling Reuters that technology sovereignty will be the dominant theme at VivaTech this week. Her broader point is one that's becoming a common refrain among European tech leaders: sovereignty isn't really about where a piece of technology was built — it's about who retains control over it when it matters most.

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The Uncomfortable Math Behind "Sovereignty"

The core tension is simple to state and difficult to solve. European governments and companies want strategic independence in AI. But the infrastructure that AI runs on — cloud computing capacity, advanced chip design, and the most capable foundation models — is overwhelmingly controlled by a small number of American companies.

Mistral, widely seen as Europe's strongest AI contender, has been responding by deepening partnerships with European companies, particularly in sectors where the region believes it holds a genuine competitive edge. But even with billions of euros already invested across the continent, European AI companies still depend heavily on US-controlled cloud infrastructure, chips, and underlying models to actually build and run their products. Patent filing data illustrates the same imbalance from a different angle — Asia and North America have consistently outpaced Europe in AI-related patent publications.

France has positioned itself as the loudest advocate for breaking that dependency, particularly within government services. Prime Minister Sébastien Lecornu put it bluntly this week, arguing that France cannot continue relying on tools built by foreign powers and needs to develop its own.

At the EU level, the response has taken a more structural form. The European Commission is currently reviewing the practical fallout of the recent US export control changes, while pushing its own response: a plan for European AI "gigafactories" and expanded large-scale computing infrastructure intended to give the region sovereign access to serious computing power. Brussels has also proposed new legislation aimed at growing domestic cloud, AI, and semiconductor industries specifically to reduce reliance on US Big Tech. Critics, however, point out that even with this push, Europe remains years behind its American counterparts in practical capability.

Telecoms company Orange captured the sentiment shared by many European firms watching the Anthropic restrictions unfold: the episode reinforced just how important it is for Europe to have access to AI services it actually controls — ones that cannot be switched off based on a foreign government's decision.

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The Cost Nobody Wants to Talk About Out Loud

Sovereignty has a price tag, and it's a real one. Capgemini chief operating officer Karine Brunet noted that companies choosing European cloud alternatives over US providers are currently paying premiums of up to 40% — a gap that forces every European business to weigh genuine strategic risk against a significant and immediate cost increase.

That tension is why most serious voices in this debate aren't calling for a wholesale rejection of American technology. VivaTech managing director François Bitouzet described the goal differently: not simply swapping one provider for another, but building more resilient technology strategies — ones where companies lean on European innovation for the most critical, sensitive parts of their technology stack, while continuing to work with global partners everywhere else it makes practical sense.

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Why This Matters Beyond Europe

This debate is not just a regional story, and it has direct relevance for anyone building or buying AI infrastructure anywhere in the world.

Export controls are becoming a live business risk, not a hypothetical one. The Anthropic restriction is a concrete example of how quickly access to frontier AI capability can change for reasons that have nothing to do with the technology itself. Any company — in Europe or elsewhere — building critical infrastructure on a single foreign provider's models is exposed to the same risk, even if it hasn't been triggered yet.

The sovereignty premium is a preview of a broader trend. A 40% cost premium for "controlled" infrastructure is a number worth remembering. As more regions pursue similar independence strategies — and they will — the cost of diversifying away from the dominant US providers is likely to remain a real, quantifiable tax on strategic resilience for years to come.

The multi-provider strategy is probably the realistic endpoint. Few serious voices in this debate are arguing for full disconnection from US technology. The emerging consensus — using domestic capability for the most sensitive workloads while keeping global partnerships for everything else — is a pragmatic hedge likely to be echoed by companies and governments well outside Europe as the same dependency questions surface elsewhere.

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What to Watch Next

Both events run through the week, with more detail expected on the EU's gigafactory computing plans and how the bloc plans to respond formally to the US export control changes. Whether any of this translates into European AI companies meaningfully closing the gap with their American counterparts — or simply into more political statements about the importance of trying — is the question that will determine whether this week's discussions mark a turning point or just another chapter in a debate that's been running for years.