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Building Europe’s AI Backbone: Why the EU Wants to Triple Data Centre Capacity

Europe’s race to build a competitive artificial intelligence sector is increasingly becoming a race to build infrastructure.

While the public conversation around AI tends to focus on models, chips and breakthrough applications, policymakers in Brussels are turning their attention to a less glamorous question: where will all the computing power come from?

That concern sits at the heart of the European Commission’s proposed Cloud and AI Development Act (CADA), unveiled as part of the EU’s Tech Sovereignty Package on 3 June 2026. According to the proposal, the rapid growth of AI applications, together with the rollout of AI Factories and future AI Gigafactories, will significantly increase demand for computing resources across the bloc.

The Commission’s answer is ambitious. Under the proposed framework, the European Union wants to increase its data-centre capacity by at least threefold over the next five to seven years. The objective, outlined in the Commission’s CADA policy documents, is to ensure that European businesses, researchers and public institutions have access to the computing infrastructure needed to develop and deploy advanced AI systems.

The target reflects a growing recognition that AI leadership is no longer determined solely by software expertise. Access to large-scale computing infrastructure has become a strategic asset in its own right. Without sufficient cloud capacity and processing power, even the most advanced AI ambitions can struggle to move beyond the development stage.

Brussels appears increasingly aware of that reality. The Commission’s proposal argues that Europe faces a number of obstacles when it comes to expanding digital infrastructure, including complex permitting procedures, financing challenges and difficulties securing access to land and energy resources. Those issues may sound administrative, but they have become central to the debate over Europe’s technological competitiveness.

At the same time, policymakers are trying to avoid a scenario in which the rush to build AI infrastructure creates new pressures elsewhere. The Commission’s cloud-computing policy framework emphasises that future data-centre development must be considered alongside energy planning and wider sustainability goals. In practice, that means digital infrastructure is no longer being treated as a separate policy area. Instead, it is increasingly linked to discussions about energy systems, industrial strategy and long-term economic resilience.

The proposal also reflects a broader concern running through European technology policy: dependence on infrastructure and services beyond the Union’s control. In presenting the Tech Sovereignty Package, the Commission argued that strengthening Europe’s cloud and AI capabilities is essential for improving strategic resilience and reducing vulnerabilities in critical digital sectors.

That thinking extends beyond the construction of new facilities. The proposed legislation includes measures aimed at developing a common framework for assessing cloud and AI sovereignty, reflecting concerns that control over computing resources may become an increasingly important factor in economic security.

Taken together, these proposals suggest that the European Union is redefining how it thinks about artificial intelligence. For years, the focus was largely on regulation, ethics and innovation. CADA signals a shift toward a different question: whether Europe possesses the physical infrastructure required to support its digital ambitions.

The answer, according to the Commission’s own assessment, is that much more capacity will be needed. The Cloud and AI Development Act is therefore not simply about building additional data centres. It is an attempt to ensure that the foundations of Europe’s AI future are built within Europe itself.

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