Nscale Loses Microsoft AI Data Center Deal as UK Power Delays Push Power Access Into the 2030s
Nscale has lost a planned Microsoft artificial intelligence data center project in England after delays in securing electricity threatened to push the site's power availability into the early-to-mid 2030s. The development highlights a major challenge facing former Bitcoin mining companies expanding into AI infrastructure: securing enough electricity to support energy-intensive computing operations.
The proposed facility in Loughton, Essex, was designed to provide 50 megawatts of computing capacity for Microsoft's Azure cloud platform by early 2027. According to reporting by The Guardian, which followed initial coverage by the Financial Times, the site was expected to accommodate 23,040 Nvidia chips. However, UK Power Networks, the local electricity grid operator, informed Nscale that sufficient capacity might not become available for roughly another decade.
Microsoft Project Runs Into Electricity Constraints
Nscale announced the project last year alongside Microsoft, Nvidia and OpenAI. The development was intended to support growing demand for computing infrastructure used in artificial intelligence applications.
When The Guardian visited the location in February, the property was still being used as a scaffolding yard. Nscale has since cleared the site and is exploring alternative ways to secure electricity for the planned facility.
The company said its other contracts with Microsoft remain in place, indicating that the setback concerns the specific development in Loughton rather than its entire relationship with the technology company.
The project's difficulties illustrate how electricity infrastructure can become a critical bottleneck for AI data center construction, even when companies have secured land and customers for their computing capacity.
Bitcoin Miners Expand Into AI Infrastructure
Nscale emerged from Arkon Energy, a company that developed facilities for Bitcoin mining. Founder Josh Payne used experience in securing land and electricity for mining operations to establish a business supplying computing capacity to AI companies.
The strategy reflects a broader shift across the publicly listed Bitcoin mining industry. Companies that previously focused on mining digital assets are increasingly seeking long-term AI and high-performance computing contracts as alternative sources of revenue.
A CoinDesk report in March found that publicly listed miners had announced more than $70 billion in AI and high-performance computing contracts. Over the same period, their combined Bitcoin holdings had declined by more than 15,000 BTC from peak levels, with some companies selling coins to help finance infrastructure expansion.
The transition has also been driven by pressure on mining economics. The report estimated that the average listed miner's cash cost of producing one Bitcoin approached $80,000 in the fourth quarter of 2025, while Bitcoin traded at around $70,000 by March.
AI Facilities Require Much Higher Investment
Although AI infrastructure contracts can provide recurring revenue over several years, building facilities capable of supporting advanced computing systems requires substantially more capital than constructing conventional Bitcoin mining sites.
Estimates cited in the source report put the cost of an AI-ready facility at $8 million to $15 million per megawatt. By comparison, Bitcoin mining infrastructure costs roughly $700,000 to $1 million per megawatt.
AI customers also expect servers to operate around the clock, placing additional demands on electricity supply and facility reliability. These requirements make access to dependable power a crucial factor in determining whether planned data centers can begin operating on schedule.
AI Contract Backlogs Outpace Active Revenue
The gap between announced contracts and operational capacity remains another challenge for miners entering the AI infrastructure market. In its latest mining report, fund manager CoinShares counted more than 4 gigawatts of AI capacity under contract across the mining companies it tracks.
However, only about 550 megawatts of that capacity was actively billing customers. Contract backlogs exceeded $100 billion, while annualized AI revenue stood at just over $1 billion.
These figures illustrate the difference between securing customer agreements and converting those commitments into operating facilities that generate revenue. Construction costs, electricity availability and deployment schedules can all affect how quickly contracted capacity becomes commercially productive.
For Nscale, the immediate challenge is finding an alternative power source or obtaining a substantially faster connection from the local grid operator. Without either solution, the cleared Loughton site could remain unused for years, despite the original plan to deliver computing capacity to Microsoft Azure by early 2027.
source: coindesk
Writer: Ethan Collins
Crypto Journalist
Ethan Collins reports on developments across the cryptocurrency and blockchain sector. His work covers market movements, protocol updates, regulatory changes, and emerging trends in digital assets.
He focuses on presenting complex topics in a clear and accessible manner for a broad readership.
Check out other news and articles on Google News
Disclaimer:
The articles on Hokanews are here to keep you updated on the latest buzz in crypto, tech, and beyond—but they’re not financial advice. We’re sharing info, trends, and insights, not telling you to buy, sell, or invest. Always do your own homework before making any money moves.
Hokanews isn’t responsible for any losses, gains, or chaos that might happen if you act on what you read here. Investment decisions should come from your own research—and, ideally, guidance from a qualified financial advisor. Remember: crypto and tech move fast, info changes in a blink, and while we aim for accuracy, we can’t promise it’s 100% complete or up-to-date.