Lead: A major UK artificial intelligence initiative in Lanarkshire is undergoing a significant shift in its power supply strategy after facing scrutiny over claims that it would be powered exclusively by renewable energy. DataVita, one of the flagship companies behind Britain’s national AI growth strategy under former Prime Minister Keir Starmer, has now confirmed that its Chapelhall datacentre project will operate fully on National Grid electricity—despite earlier public assertions about drawing 1GW from wind and solar sources.
The original proposal, unveiled during government-led efforts to expand digital infrastructure across Scotland, promised that the Lanarkshire development would draw more than 1 gigawatt (GW) of clean energy directly via private wire connections. This amount is equivalent to approximately a small nuclear reactor or the output capacity of Britain's largest windfarm—a figure designed to signal both scale and environmental commitment. However, when The Guardian raised questions in November 2026 about this pledge’s feasibility, DataVita responded by stating that such arrangements were 'subject to final commercial agreements, planning, grid and consenting processes'—a statement that effectively acknowledged uncertainty rather than certainty.
Background: AI Strategy Under Keir Starmer
The UK government under Prime Minister Keir Starmer launched an ambitious national strategy for artificial intelligence development aimed at positioning the country as a global leader in digital innovation. Central to this vision was the construction of large-scale datacentres across key regions—including Lanarkshire—to serve emerging AI applications in healthcare, logistics, finance, and public services.
DataVita was identified early on as one of the primary developers within this framework. The company proposed building what it called an 'AI growth zone' near Chapelhall, outside Airdrie—a rural area with limited existing industrial infrastructure but significant potential for economic revitalisation. According to official statements from 2025–2026, such projects were expected to generate up to 3,400 jobs during their operational phase and stimulate local supply chains through construction, operations, maintenance, and digital service delivery.
Energy Challenges in UK Datacentres
Hyperscale AI datacentres represent among humanity’s most energy-intensive structures—consuming power at levels comparable to entire cities or small nations over time. These facilities require continuous, high-capacity electricity not only for computing processes but also for cooling systems that manage heat generated by thousands of processors operating simultaneously.
In the United Kingdom, energy costs remain notably higher than across much of Europe due to a combination of factors: limited domestic generation capacity during peak demand periods; reliance on imported gas for thermal backup; and an ageing transmission network with insufficient expansion plans. As a result, even modest increases in load can strain regional grids—and delay connection timelines significantly.
For instance, securing grid access for new datacentres typically involves years-long negotiations between developers and National Grid ESO (Electricity System Operator). These delays stem from complex technical assessments, environmental impact reviews, and compliance checks required under UK planning legislation. In practice, many proposed AI developments face protracted waits—sometimes exceeding five years—before they are granted permission to connect directly to the national power infrastructure.
The Shift in DataVita’s Energy Commitment
In response to The Guardian's investigation published on 7 November 2026, DataVita issued a clarification stating that while it remains committed to renewable energy overall, its Chapelhall project will initially be 'fully grid served' through standard National Grid supply arrangements. This marks a clear departure from earlier public statements asserting direct private connections linking datacentres to wind and solar farms via dedicated wires.
According to an official statement released by the company, ‘Our commitment to renewable energy is unchanged.’ However, this assertion appears inconsistent with prior disclosures made in mid-2025 when DataVita claimed: ‘More than 1GW of renewable energy capacity—including wind, solar, and battery storage—will be delivered through private wire connections directly linked to the datacentres.’
The current position suggests that while future integration with on-site renewables may occur—for example, a proposed wind and solar park in North Lanarkshire—the immediate operational phase will depend entirely upon grid power. This change raises questions about whether such infrastructure can realistically meet its stated environmental goals without substantial investment or long-term planning.
Public Funding and Financial Backing
DataVita continues to receive financial support from public institutions as part of broader government incentives for AI development. The company has been granted £202 million through wealth guarantees provided by Britain’s National Wealth Fund—an entity established under the 2024 Industrial Strategy Act designed to de-risk high-impact technological ventures.
This funding is intended not only to cover initial capital costs but also to mitigate risks associated with energy volatility, regulatory uncertainty, and market fluctuations in digital infrastructure markets. While such backing signals confidence in DataVita's role within national innovation policy, it does not guarantee technical or environmental feasibility—particularly when core operational claims are revised mid-development.
Expert Criticism and Industry Concerns
Kat Jones, director of Action to Protect Rural Scotland—a charity focused on preserving rural landscapes from industrial encroachment—has expressed concern over the shift in DataVita’s messaging. She described the company’s retraction as 'emblematic' of broader trends among datacentre developers across Scotland who have made exaggerated promises about renewable energy integration.
'Hyperscale AI datacentres simply cannot run on renewable power alone,' she stated during a public briefing held at Edinburgh University earlier this month. 'They absolutely need a highly reliable source of grid power—not just intermittent solar or wind inputs.'
Ms Jones added that such changes reflect an underlying reality: even with advanced technologies like battery storage and smart load management, no current system can provide 24/7, uninterrupted power to support the computational demands required by modern AI models without relying heavily on conventional electricity grids—many components of which still depend on fossil fuel-based generation for base-load operations.
Implications for UK’s National AI Strategy
The Chapelhall project is not isolated in its challenges—it represents one of several high-profile initiatives under scrutiny following revelations about their technical viability. Two other major datacentre developments announced during Starmer's premiership have recently come under similar pressure due to concerns over energy costs, grid access timelines, and environmental sustainability.
This growing skepticism undermines public trust in government-backed digital infrastructure plans that rely on optimistic projections rather than verified engineering assessments or real-world feasibility studies. Critics argue that without rigorous independent audits—particularly regarding power consumption models and renewable integration pathways—the entire strategy risks appearing more like a political performance than an actionable economic plan.
What Comes Next?
DataVita has not yet provided detailed information about how it intends to achieve future connections with wind and solar farms at the proposed site in North Lanarkshire. No construction timeline, land-use approvals, or technical specifications have been published for these facilities as of late November 2026.
The company maintains that its revised energy model does not diminish its environmental commitment but instead reflects practical realities tied to infrastructure development cycles. However, without transparent data on actual power usage projections, expected carbon emissions reductions, or independent third-party evaluations—there remains a gap between stated ambitions and measurable outcomes.
As other AI projects across Scotland and England face similar scrutiny, regulators may soon demand more robust disclosures about energy sourcing, grid dependency levels, and long-term sustainability metrics before approving further public funding or land use rights.
In the absence of verifiable evidence supporting claims of 1GW direct renewable supply—or even significant private solar/wind integration—the Lanarkshire project stands as a cautionary example: that while ambitious visions can inspire investment and regional development, they must be grounded in realistic technical assessments rather than aspirational language alone. Without such foundations, both economic returns and environmental credibility remain at risk.