Europe 2031

What if Europe misses the AI revolution not because it does nothing – but because it does the wrong things well, too late?

This is precisely the uncomfortable possibility explored in Europe 2031. Published in June 2026, the scenario describes how Europe could lose economic, technological and geopolitical influence within a few years. Not because its decision-makers are malicious or incompetent, but because many individually understandable decisions collectively lead to ever greater dependence.

The authors are researchers, policy experts, investors and practitioners working at the intersection of AI and European policy. The format is deliberately unusual: developments unfold through two fictional characters and are connected to technical assumptions, political mechanisms and a dedicated compute forecast.

One distinction matters from the outset: The authors explicitly state that Europe 2031 is not a forecast. The text begins with developments from 2025 to June 2026 and shifts from August 2026 into a deliberately constructed future scenario. What matters is therefore not whether every event will occur, but which vulnerabilities become visible when today's trends are followed through consistently.

1. Using AI does not mean shaping the conditions under which it operates

At the heart of the scenario is a form of dependence that is easily underestimated. Europe may adopt AI systems widely and still lose the power to shape developments.

Powerful AI depends on more than good applications. It requires data centres, energy, chips, capital, frontier research, talent and reliable access to increasingly capable models. In their initial analysis, the authors assume that Europe currently hosts only a small share of global AI computing capacity and therefore controls substantially less strategic infrastructure than the United States.

In the scenario, this technological disadvantage gradually becomes a political problem. Those who depend on the most capable models but have little influence over their infrastructure or providers must accept others deciding access, prices, security conditions and priorities.

This leads to an interesting distinction: Sovereignty is not the same as self-sufficiency. Europe 2031 criticises a vision of sovereignty in which Europe simply buys as much “European” technology as possible, even when domestic solutions lag behind. Instead, the authors argue for building strength and bargaining power where they really matter – for example in infrastructure, industrial AI, supply chains and international alliances.

2. The most dangerous scenario consists entirely of plausible decisions

Europe 2031 is particularly compelling where it avoids relying on a single dramatic mistake.

Europe initially underestimates the pace of development. It then responds with programmes, regulation and sovereignty initiatives. Individual measures appear reasonable. Yet while processes run their course, technology continues to evolve. The gap widens faster than institutions can close it.

The scenario thus describes a familiar problem in complex systems: Local rationality does not guarantee a good overall outcome. An authority understandably protects data. A country understandably protects existing jobs. A company understandably waits for regulatory clarity. A parliament understandably seeks consensus. Each decision may be plausible in isolation – yet the overall system can still become too slow.

The authors also turn a familiar European debate on its head. The question is not simply whether Europe should regulate “more or less”. The harder question is: How must institutions be able to learn and decide when technology changes faster than traditional political cycles?

This is relevant to Future Skills because agency is not solely an individual attribute. Organisations and societies can also be capable of learning, adapting and deciding – or lose those capabilities.

3. When productivity diverges, AI becomes a question about how we live

From 2029 and 2030 onwards, the scenario increasingly describes economic and social consequences. Countries and companies with better access to frontier AI increase their productivity faster. European businesses come under pressure. Automation changes tasks; unemployment rises in the scenario, while social expenditure grows and tax revenues come under pressure.

Whether events would actually unfold this way is highly uncertain. But the underlying question is central to the Future Skills Institut: What happens to people when technological change outpaces adaptation in working life and society?

The authors therefore do not propose preserving existing jobs at any cost. Among other things, they advocate a model that enables businesses to adapt technologically while supporting people through social protection and further learning.

This is precisely where Europe 2031 and our JobRadar 2040meet: we should not merely ask which existing occupations can be protected. We need to understand which new tasks, responsibilities and skill profiles are emerging – and how people can navigate the transition.

4. Adaptability means more than retraining

“Then people will simply have to upskill” can quickly sound like a solution to such scenarios. But it does not go far enough.

When work changes profoundly, the implications extend beyond specialist knowledge. People need to make sense of uncertainty, assess their skills realistically, learn new things, collaborate with AI, review decisions and reshape their professional identity. At the same time, time, energy, financial security and personal circumstances are unevenly distributed.

And if paid work really does become less reliable in certain areas, a second dimension emerges. Then the challenge is not simply to remain capable of working . It is to remain capable of living well : structure, relationships, meaning, health and participation in society must not depend entirely on the survival of an existing model of working life.

Europe 2031 therefore connects directly with our two research strands: JobRadar 2040 asks where new forms of human work and responsibility might emerge. Lebensfähig 2040 asks what sustains a good life when paid work alone can no longer reliably fulfil that role.

5. Europe needs more than a defensive strategy: it needs a vision of what it is for

Perhaps the most interesting point appears at the end of the executive summary. Alongside investment in computing power, international alliances, labour-market adaptation and industrial AI, the authors explicitly call for a positive vision for the AI age.

This means more than communication. People are unlikely to support profound changes if the only justification is that otherwise other countries will win.

The decisive question is therefore not just: How can Europe remain technologically competitive? But also: What do we want to use this technological capability for?

Greater prosperity? More time? Better education? Health? Security? A stronger democracy? More opportunities for people to shape their own lives?

For us, this is the strongest connection to the Future Skills Institut. Technological progress is not an end in itself. What matters is whether it expands the agency of individuals and societies – and whether it creates better conditions for a fulfilling, coherent life.

What we take from this

Europe 2031 is a deliberately pointed warning scenario. It has a clear thesis and objective: Europe should take transformative AI much more seriously and act faster. It should therefore be read neither as neutral futures research nor as the most likely account of 2031.

Many of its assumptions are uncertain: the pace of AI development, the importance of compute, geopolitical responses, automation effects and institutional developments. This is precisely why the scenario is useful when read as a stress test .

Not: “This is what the future will look like.”

But: “If such a development were plausible, which decisions would we make differently today?”

And, more personally, for Future Skills:

Which skills do people need so that change does not merely happen to them, and they can continue shaping their lives under new conditions?

If technological dependence also limits agency, where should Europe, organisations – and we ourselves – build capabilities today, rather than waiting until the pressure to change has already arrived?

Context: This 3-Minute Insight summarises selected arguments and scenario elements from Europe 2031 in our own words and connects them to the research questions of the Future Skills Institut. The authors explicitly describe their project as a scenario rather than a forecast. It is also a deliberately argumentative contribution intended to encourage a more ambitious European AI agenda. Statements about future AI capabilities, geopolitical developments, labour markets and economic consequences should therefore be understood as scenario assumptions. The connections to human agency, JobRadar 2040 and Lebensfähig 2040 are FSI interpretations.

Source: Daan Juijn, Stan van Baarsen, Judith Dada, Maximilian Negele, Lily Stelling, Philip Fox, Alex Petropoulos & Michiel Bakker (2026): Europe 2031: What getting AI wrong means for us, published on 11 June 2026. Further information: Official scenario ↗ · Executive summary ↗ · Methodological context & authors ↗ · Compute forecast ↗