Microsoft has exited as anchor customer for Nscale’s £2bn Essex AI data centre, where it was expected to help fund an on-site supercomputer. Nscale remains the developer at Loughton and says it’s still committed to the project and to the UK.
The site is planned as high-energy compute for AI chips, model training, and business and consumer AI services. Its power-availability window carries a date. UK Power Networks told Nscale there won’t be enough electricity available until the early-to-mid 2030s. The developer is exploring alternative power sources and a faster grid connection, and has cleared the scaffolding-yard site ready for construction.
Peter Griffiths, Founder and Executive Chairman of Argyll Data Development , said: “£600 million is a meaningful down-payment on AI safety and security, but sovereign AI infrastructure will cost billions.
“Electricity is the choke point. Microsoft has just walked away from a deal to anchor Nscale’s flagship Essex data centre because grid power won’t be available until the 2030s. Ambition means nothing without the power to deliver it.”
Scotland’s clean-power pipeline runs to more than a thousand projects, according to Griffiths, built on an abundant renewable energy base. Those schemes don’t reach the grid on schedule. Some 23 proposed hyperscale data centres are waiting in the same queue, he says, though the country’s wind and hydro capacity would support them.
“Fast-track grid connections for credible Scottish AI infrastructure, or watch the investment and jobs go elsewhere,” Griffiths commented.
UK Chancellor John Healey’s announcement places an NCSC AI Cyber Security Centre of Excellence in Manchester, built on live AI inference running in commercial data centres and on cybersecurity research at the University of Manchester.
The £600 million AI safety and security down-payment Griffiths cites funds work of that kind; the sovereign compute underneath it is a multi-billion pound commitment on his reading. Argyll is already working with partners on the threats and security challenges involved in running AI, he says.
Production inference and academic research sitting in one city gives the centre something concrete to test against. Loaded models, live traffic, and the operational failure modes that come with them are all present in commercial facilities there.
For regulated businesses, sovereignty has to be demonstrated in operational terms. Buyers need to know where data is processed, who can reach or change systems, and how a supplier or power failure is handled. Rule design shapes those answers as much as hardware does, a pattern visible in the argument over fragmented regulation and mobile security innovation .
“For regulated businesses, sovereignty must be demonstrable,” Griffiths added. “They need to know where their data is processed, who can access or change their systems, and what happens if a supplier or power connection fails. That’s what turns British AI ambition into dependable capability.”
Nscale, which remains the developer at Loughton, says its work with Microsoft continues in Norway, Portugal, and the US.
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