Europe missed AI labs but is winning the tools race

Europe may have sat out the race to build the world’s leading AI labs, but it is quietly cashing in on the boom anyway. While its startups have struggled to mount a serious challenge to OpenAI or Google, the continent’s established tech and industrial heavyweights have emerged as unexpected winners, according to Reuters.

The pattern offers a clear lesson in where the money actually lands. Frontier models may dominate the headlines, but the profits are also flowing to the companies that make the tools, run the software, and wire the power. Europe is unusually strong in all three categories.

The clearest example is ASML, the Dutch firm whose lithography machines are the only route to producing the most advanced AI chips. Demand has been so strong that the company is closing in on a trillion-dollar valuation.

Enterprise software is the other engine. SAP, now among Europe’s most valuable companies, sells the systems that large firms are integrating with AI. Every new AI feature it adds gives customers another reason to stay locked in.

Then there is the less glamorous business of power and metal. Siemens has raised its outlook on the back of AI-driven data-centre demand, while electrical firms like Schneider and Prysmian are riding the wave of the buildout that every data centre requires.

The mechanism is simple. Every dollar spent training a model eventually reaches a chip, and every advanced chip passes through an ASML machine. So the spending that starts in California ends up, in part, in the Netherlands.

Telecoms and utilities are also benefiting. Data centres need connectivity and enormous amounts of power, and the European firms that supply both are booking the demand whether or not a single European model competes at the frontier.

That this counts as a surprise says a lot about the prevailing narrative. For two years, Europe has been told it lost the AI race, a story that measured the continent only by whether it had produced its own ChatGPT.

By that measure, it did fall behind. Europe has openly fretted about its AI sovereignty, dependent on American models and clouds for the frontier work its own firms cannot yet match.

There are exceptions, like Mistral, the French champion that has finally started to make its sovereignty bet pay off. But a single lab does not close a gap this wide.

The incumbents’ advantage is that they do not need to win the model race to profit from it. In a gold rush, selling picks and shovels has always been the steadier business, and Europe happens to own much of the hardware store.

Collaborative efforts are trying to fill the rest. A pan-European alliance has built an open LLM as an alternative to American and Chinese models, though it remains a modest counterweight to the giants.

The win is real but narrow. It rests on selling into a boom the incumbents do not control, and if the AI build-out slows, demand for their tools and power slows with it.

It has also reshuffled Europe’s corporate hierarchy. The most valuable companies on the continent are increasingly its AI-adjacent industrials and toolmakers, rather than its banks or luxury houses.

The gains are unevenly spread, too. They cluster in chip tools, industrial software, and electrification, while Europe’s consumer-internet and social platforms remain as absent from the AI story as ever.

For policymakers, the result is awkward. Europe is profiting from AI while remaining dependent on others for the intelligence itself. It is a comfortable position, but also a fragile one.

The danger is reading the profits as a strategy. Selling into someone else’s boom is lucrative until the buyer builds its own supply, and Europe’s dependence on foreign models is a vulnerability a strong quarter does not fix.

Still, being the toolshed to a global boom is not the worst place to stand. Europe may not have built the future of AI, but it is selling a great deal of what that future runs on.