Microsoft has withdrawn from a planned £2bn artificial intelligence data centre on the edge of London after delays to its power supply exposed a growing constraint on Britain’s ambitions to attract the infrastructure underpinning the AI boom.
The US technology group had intended to fund a supercomputer at the proposed Loughton site in Essex, part of a vast development being advanced by data centre company Nscale. The facility was expected to receive electricity by the end of this year, but its connection is understood to have been delayed until the 2030s.
The setback highlights a difficult contradiction at the heart of the UK’s technology strategy: ministers want to position Britain as an AI superpower, yet developers are confronting delays in securing the electricity needed to run increasingly power-hungry computing facilities.
Microsoft said its decision applied only to the Essex project and did not signal a retreat from its wider relationship with Nscale.
“This decision relates to a single site,” a company spokesperson said. “We remain committed to our partnership with Nscale, including work to build robust digital infrastructure and support AI growth globally.”
Nscale, which unveiled its £2bn plans last year, said it remained committed to the development and was exploring alternative sources of electricity.
“We remain committed to both the Loughton project and the UK and we are exploring alternative power sources for the site, in addition to other expansion sites in the UK,” a spokesperson said.
“This unfortunate London-wide grid issue has no impact on our other contracts.”
The company added: “Our relationship with Microsoft remains strong and long-term.”
The project is expected to create about 250 permanent jobs, but its immediate challenge is securing enough power to make the development viable on the intended timetable. Nscale’s reference to a “London-wide grid issue” points to constraints extending beyond a single site, as demand from data centres competes with other requirements for electricity and grid capacity.
The withdrawal has prompted questions about whether Britain can deliver the infrastructure required to support the next phase of AI investment.
Peter Fortune, the Conservative shadow business minister and MP for Bromley and Biggin Hill, said the reported delay risked undermining confidence among companies considering major investments in the UK.
“Microsoft has reportedly pulled out of a planned £2bn data centre in Loughton, Essex, after being told power won’t arrive until the 2030s,” he said.
“If a project this big can’t get plugged in, what does that tell firms hoping to expand in Britain?”
The criticism strikes at a central challenge for the government, which has pledged to make the UK an artificial intelligence superpower. Advanced AI systems require substantial computing capacity, while the data centres that train and operate them depend on reliable supplies of electricity, cooling infrastructure and timely grid connections.
The industry’s expansion is therefore becoming as much an infrastructure question as a technology contest. Investment commitments alone cannot guarantee that facilities will be built on schedule if electricity networks cannot accommodate their demands.
For developers, delayed connections can complicate financing, construction and commercial agreements. For the government, they risk weakening the appeal of Britain as a destination for capital at a time when the US and other economies are competing to attract AI infrastructure.
Nscale’s insistence that it is pressing ahead offers some reassurance that the Loughton project has not been abandoned. But Microsoft’s departure from the scheme leaves questions over how the proposed supercomputer will be funded and delivered, and whether alternative power arrangements can bridge the gap.
The wider test is whether Britain can turn its AI ambitions into functioning infrastructure. Until grid capacity and connection delays are addressed, even projects backed by multibillion-pound plans may struggle to move from investment announcement to operational reality.
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