A speculative new scenario about Europe in 2031 is drawing attention in Brussels and beyond by warning that the continent could fall behind the US and China if it fails to invest aggressively in artificial intelligence.
The piece, called Europe 2031, imagines a future in which American and Chinese companies dominate AI infrastructure while Europe hesitates, underinvests and eventually faces economic strain. Its authors say the goal is to jolt policymakers out of what they see as complacency about the technology.
The scenario has circulated widely after appearing just before the Trump administration moved to block foreign nationals from using Anthropic’s Fable model. That coincidence has helped fuel discussion among EU officials about technological sovereignty and the risks of relying on non-European AI systems.
Europe 2031 is presented as a thought experiment rather than a forecast. It follows a fictional Brussels official, Caroline Dubois, who tries and fails to persuade colleagues that Europe is being left behind in AI. In the story, the US pours money into datacentres and computing power, while Europe moves slowly and remains skeptical about the scale of the shift.
As the scenario progresses, American firms adopt AI across their operations and cut jobs, while European companies lag in adoption. The fictional outcome is bleak. Europe’s economy weakens, unemployment rises, cyberattacks become more damaging and political tensions grow. In the most dramatic version of the story, the EU is left scrambling to secure bargaining power through ASML, the Dutch firm central to advanced semiconductor production.
The authors, who are based in Brussels, say they wanted to highlight what they view as a communication gap between Silicon Valley and European policymakers. One of them, Maximilian Negele, said the gap between the two regions made Europe’s response to AI seem dangerously slow from his perspective. He said he wanted to capture the sense that major change is already underway, even if parts of the industry remain volatile.
The scenario has joined a growing category of AI futures literature that has attracted unusual interest from policymakers. Similar fictional or highly speculative reports have already shaped debate in Washington and elsewhere, including discussions over whether AI progress could reshape labor markets, national security and the balance of economic power.
Some of the figures and projects referenced in Europe 2031 have since changed or fallen apart, including large AI financing deals cited in the text. The authors say they are aware that not every investment plan will pan out, but argue that the broader trend remains important. They also acknowledge that public opposition to datacentres and AI infrastructure could slow the buildout they believe Europe needs.
The scenario’s central policy argument is that Europe should move faster to create its own AI capacity, including more datacentres and streamlined planning rules. Its authors suggest that the world can only support a limited number of new facilities each year, and that Europe risks losing out if most of them are built in the US.
That view is not universally shared. Critics say the scenario leans heavily on dramatic assumptions and may overstate both the certainty of AI’s economic impact and the scale of the investment race. But even skeptical readers have taken note of the attention it has generated.
For some lawmakers, the value of Europe 2031 lies less in its predictions than in the questions it raises. Nicolás Casares, a member of the European Parliament, said the piece may exaggerate to make its point, but added that the block on access to Anthropic’s Fable model underlined how dependent Europe could become on foreign AI infrastructure.
The core message, in his view, is that Europe must decide who builds its AI systems, who controls them and who ultimately benefits from them.