In June 2026, a group of European experts from AI research, public policy, and investment published the scenario "Europe 2031": a narrative describing five years that culminate in Europe being pushed to the political and economic margins. 

One does not have to agree with every detail of the scenario. Yet its central message is difficult to ignore: anyone who mistakes sovereignty for isolation risks losing precisely what they seek to protect. 

The scenario does not begin in the future, but in 2025. At the time, Europe underestimated the pace of AI development, the scale of its impact, and the difficulty of catching up once a significant gap had emerged. This assessment is supported by a number of developments in recent years. Many interpreted the Chinese AI model DeepSeek R1 as proof that powerful AI could soon be developed far more cheaply and that the lead of major technology companies would diminish. 

The scenario draws a different conclusion: more efficient models do not make computing power less important. Quite the opposite. Those who can train better models while also controlling vast computing resources continue to widen their advantage. The political situation was often viewed too optimistically as well. The €200 billion announced at the Paris AI Summit appeared to be a strong signal, but much of it consisted of previously allocated funding, declarations of intent, and hoped-for private investment. 

At the same time, every disappointment surrounding individual AI models reinforced a more comfortable narrative: perhaps AI was overrated after all. Meanwhile, companies in the United States were already redesigning software development, business processes, and even entire business models around AI. Honesty means acknowledging these misjudgments as exactly that: misjudgments. 

The balance of power can be measured. Europe accounts for roughly five percent of global AI compute capacity, while the United States controls around eighty percent. The scenario derives an uncomfortable conclusion from this imbalance: anyone who lacks meaningful influence over critical technological infrastructure is not negotiating on equal terms. 

However provocative the statement may sound, it points to a very real strategic challenge for Europe.

One of the most insightful aspects of the scenario is its argument that a misguided approach to sovereignty harms its own supporters first.Organizations that deliberately rely on less capable technologies risk learning more slowly and operating with capabilities that lag behind the state of the art. The core lesson is simple: Regulation does not create capability.

The narrative requires neither villains nor blame. Consensus-building, regulation, and careful governance have been among the European Union's greatest strengths. Under intense technological time pressure, however, the same mechanisms can also result in uncomfortable realities being postponed for too long. 

A practical challenge further complicates matters. Many public institutions across Europe are unable to use leading AI systems because of data privacy concerns. As a result, they are often tasked with regulating technologies that they have very limited opportunities to experience firsthand. The scenario concludes that Europe's response to the AI transformation has so far been ten to one hundred times too small and frequently focused on the wrong objectives. 

The most important correction concerns the concept of sovereignty itself. 

Sovereignty is not achieved through maximum self-sufficiency. It is achieved through the ability to be indispensable at critical points within a global system. 

Based on this perspective, the scenario proposes several actions: 

• Invest massively in AI compute infrastructure and energy capacity. 

• Work jointly with American providers while ensuring European jurisdiction and governance. 

• Strengthen cooperation among medium-sized AI powers. 

• Accelerate AI adoption across business and government. 

• Expand areas where Europe already possesses genuine strengths, particularly robotics and industrial AI. 

The defining principle is clear: A sovereign actor is one that can influence outcomes and is indispensable somewhere in the value chain. Not one that builds everything alone. 

For businesses, the implications are more immediate than the political debate often suggests. Waiting for exclusively European alternatives may ultimately mean operating at a permanent distance from the technological frontier. Companies pay for that distance through lower productivity, slower innovation, and declining competitiveness. 

What matters is not where a technology was developed. What matters is how quickly it is integrated into business processes and how effectively it contributes to measurable business outcomes. Many European companies already possess significant advantages in this regard: deep process expertise, industrial know-how, and high-quality proprietary data. 

Those who combine these strengths with the best available technologies can create sustainable competitive advantage.

"Europe 2031" is not a neutral report. It is a warning signal. For policymakers, the message is to stop treating sovereignty as a project of separation and isolation. 

For companies, the task is more immediate: adopt technologies early, integrate them into business processes, systematically unlock efficiency gains, and translate their impact into economic results. Separation does not create strength. Speed, integration, and measurable impact do. In the end, sovereignty is not defined by independence. It is defined by the ability to act 

Senftle, G.