- High energy costs are forcing AI workloads out of the UK
- Cheaper electricity is becoming the deciding factor for AI deployment
- US infrastructure advantage is accelerating the shift in AI workloads
British companies are paying more than four times more for electricity than their American counterparts, and the artificial intelligence industry is taking notice.
According CUDO Computing20% of UK companies have already moved AI workloads out of the country due to high energy costs.
The gap between where companies want to run AI and where they can actually run it is widening rapidly.
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Why British AI companies are looking for cheaper energy abroad
“What we’re seeing is a growing tension between where companies want to run AI and where they can actually do it,” said Matt Hawkins, CEO of CUDO Compute.
“If it’s cheaper or easier to run workloads elsewhere, they will move, regardless of their sovereignty ambitions.”
A third of UK organizations say energy costs are limiting their ability to scale AI operations, according to the survey of more than 700 senior AI decision-makers.
When asked which markets appear most attractive for new AI cluster capacity, 72% of UK respondents pointed to the US.
It was followed by India with 62%, Eastern Europe with 58% and China with 55%. Western Europe and the Nordic countries scored lower, at 45% and 44%, respectively.
The message is clear: cost and performance still trump sovereignty for 43% of organizations when deciding where to deploy their AI tools.
While 46% of UK organizations say geopolitical instability is pushing them to keep workloads within domestic markets, the economic pressure to relocate is intense.
Almost one in three UK businesses say they are actively considering moving workloads overseas due to geopolitical pressures.
Nearly half say data sovereignty, regulatory compliance or national security concerns are shaping their AI deployment strategy.
However, 32% of AI-first companies say they would consider moving workloads overseas due to energy costs, compared to 18% of traditional companies.
Companies running the most compute-intensive workloads are also the most likely to look beyond the UK as economic conditions tighten.
The UK has ambitions and policies for AI sovereignty, but there is a clear disconnect between those goals and what is actually available.
Organizations want to build in the UK, but they need the infrastructure to do so. The countries that solve this first will shape the future of AI, and the UK still has a window to lead, but it must act quickly.
The investigation exposes a hard truth for British policymakers. Talking about AI sovereignty means nothing without the energy infrastructure to support it.
The US, with its lower energy prices and aggressive construction of AI-ready data centres, is already reaping the benefits of the UK’s inaction.
With every week that passes without significant progress on energy costs and network capacity, more British AI workloads will migrate overseas.
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