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Europe faces power constraints but sees long-term advantages in next-generation data-centre buildout

Analysts say tight regulation and scarce capacity may ultimately strengthen Europe’s position in the AI infrastructure race.

   
November 28, 2025, 09:00
Business & Energy
Europe faces power constraints but sees long-term advantages in next-generation data-centre buildout

BRUSSELS (Realist English). Europe is entering a decisive phase of data-centre expansion as the global AI boom drives demand for unprecedented computing power, yet analysts warn that chronic energy constraints and slow regulatory processes will define where and how the continent can compete.

Despite fragmented markets and high energy costs, Europe is still expected to nearly double its data-centre capacity by 2030, according to McKinsey’s Pankaj Sachdeva, who estimates the global buildout could cost up to $7 trillion. While the United States will dominate expansion, Europe is “keeping pace” and investing heavily in future-proof infrastructure.

The continent’s biggest bottleneck is access to electricity. The Nordics and Spain — buoyed by hydropower and renewable surpluses — are attracting large-scale projects, while Germany, the UK, Ireland and the Netherlands face grid shortages so severe that de-facto moratoriums have emerged. Italy, with faster grid-connection times, has become a rare bright spot.

Europe’s energy shock after Russia’s invasion of Ukraine continues to complicate planning. AI-driven power consumption is expected to more than double to 1,000 TWh by 2026, the International Energy Agency warns. Several countries are now reforming power-allocation rules to prioritise viable data-centre projects, with the UK moving from “first-come, first-served” to “first-ready, first-connected” to curb speculation.

Analysts say Europe is unlikely to lead in hyperscale AI-training facilities — a race largely won by the US. Instead, growth will come from cloud-focused facilities and centres optimised for AI inference, which McKinsey estimates will account for 70% of future AI demand. Sovereign-AI rules are also pushing inference workloads to remain inside European borders.

Developers and investors are shifting to long-term contracts with tenants to avoid stranded assets, while strict environmental and location-justification requirements force companies to design more efficient, community-integrated sites. Some countries, like Spain, are exploring mandates for socio-economic impact reporting.

Despite near-term barriers, analysts say scarcity may become Europe’s long-term advantage, limiting oversupply risk and boosting asset value. “The more difficult something is to replicate in Europe, the more durable its value becomes,” said one fund manager.

Investment is moving toward repurposing old industrial sites with strong grid connections — a strategy experts view as the fastest path to unlocking new capacity. Ultimately, Europe’s mix of constraints, regulation and sovereign-AI policy is forging a distinctive model for data-centre development that may prove more resilient than the US’s rapid buildout.

Artificial IntelligenceEuropeEuropean Union
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