- High energy costs are forcing artificial intelligence out of the UK
- Cheaper electricity is becoming the deciding factor for AI deployment
- The US infrastructure advantage is accelerating the shift of AI workloads
British businesses are paying more than four times as much for electricity as their American counterparts, and the artificial intelligence industry is taking notice.
According to CUDO Compute20% of UK companies have already moved AI workloads out of the country due to high power costs.
The gap between where companies want to run AI and where they can actually run it is growing rapidly.
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Why UK AI companies are looking abroad for cheaper power
“What we’re seeing is a growing tension between where companies want to run AI and where they actually can,” said Matt Hawkins, CEO of CUDO Compute.
“If it’s cheaper or easier to run workloads elsewhere, they will move, regardless of sovereignty ambitions.”
A third of UK organizations say energy costs limit their ability to scale AI operations, according to the survey of over 700 senior AI decision makers.
When asked which markets look most attractive for new AI cluster capacity, 72% of UK respondents pointed to the US.
India followed with 62%, Eastern Europe with 58% and China with 55%. Western Europe and the Nordics scored lower with 45% and 44% respectively.
The message is clear: cost and performance still outweigh 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 in domestic markets, the financial 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 shape their AI implementation strategy.
Still, 32% of AI-first companies say they would consider moving workloads overseas due to power costs, compared to 18% of traditional companies.
The 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 these aims 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 artificial intelligence, and the UK still has a window to lead, but it needs to act quickly.
The research reveals a harsh truth for British politicians. Talk of AI sovereignty means nothing without the power infrastructure to support it.
The US, with its lower energy prices and aggressive build-out of AI-ready data centers, is already reaping the benefits of Britain’s inaction.
Every week that goes by without meaningful progress on energy costs and grid capacity, more UK AI workloads will migrate overseas.
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