The UK government is facing growing scrutiny after apparent discrepancies emerged between departments over the projected energy demands of artificial intelligence (AI) datacentres, raising concerns about the country’s ability to balance its climate targets with ambitions to become a global AI leader.
Two central pillars of the UK’s economic strategy—achieving a decarbonised, low-carbon economy and positioning the country as an AI superpower—now appear to be based on conflicting assumptions about future electricity consumption, prompting criticism from experts and campaigners.
Conflicting Forecasts Between Key Departments
The Department of Science, Innovation and Technology (DSIT) has forecast that AI datacentres could require at least 6 gigawatts (GW) of electricity capacity by 2030, reflecting the scale of investment needed to expand computing infrastructure across the UK.
However, projections from the Department of Energy Security and Net Zero (DESNZ) suggest a far lower increase in energy demand. The department’s broader forecasts indicate that the entire “commercial services” sector—including datacentres—will see electricity usage rise by just 528 megawatts (MW) between 2025 and 2030.
The stark difference—amounting to a tenfold gap—has sparked concerns over a lack of coordination in government planning, particularly as both departments play a critical role in shaping the UK’s economic and environmental policies.
Concerns Over Environmental Impact of AI Expansion
Experts warn that the mismatch in projections could have serious implications for the UK’s climate commitments, as datacentres are known to be highly energy-intensive and could significantly increase national emissions if not properly accounted for.
Critics argue that the absence of clear, unified data raises questions about how the environmental impact of rapidly expanding AI infrastructure is being managed. Environmental campaign group Foxglove has highlighted what it sees as a failure to properly assess the long-term effects of datacentre growth on the UK’s carbon footprint.
DESNZ has stated that datacentre emissions are included within its overall modelling, including future carbon budgets, but acknowledged that it does not maintain separate projections specifically for datacentre energy demand.
Revised Emissions Figures Add to Uncertainty
Further confusion arose after DSIT revised its estimates for the carbon emissions associated with AI datacentres. Initial projections suggested a minimal impact, accounting for less than 0.05% of the UK’s total emissions.
However, updated figures now indicate that cumulative emissions from AI computing over the next decade could range between 34 and 123 million tonnes of carbon dioxide equivalent (MtCO₂), representing up to 3.4% of the UK’s projected emissions during that period.
The revision followed scrutiny from analysts and media inquiries, with earlier figures being removed from official publications due to questions over their accuracy.
AI Growth Zones and Rising Energy Demand
The UK government’s AI strategy includes the development of “AI growth zones” across the country, designed to attract investment into large-scale datacentre infrastructure.
Each of these hubs is expected to require at least 500MW of electricity, underscoring the significant energy demands associated with scaling up AI capabilities. These figures suggest that the expansion of AI infrastructure alone could rival or exceed broader sector-wide energy growth projections.
Balancing AI Ambitions with Climate Goals
The UK has committed to achieving net zero emissions by 2050, with interim carbon budgets guiding reductions across sectors. The rapid growth of AI and digital infrastructure presents both opportunities and challenges in meeting these targets.
While the government has emphasised that ongoing grid decarbonisation efforts could help mitigate emissions from datacentres, experts caution that clearer planning and coordination will be essential to avoid undermining climate objectives.
With the next national carbon budget expected to be published later this year, attention is likely to focus on how AI-related energy demand is incorporated into long-term sustainability plans.
Calls for Greater Transparency and Coordination
The discrepancy between departmental forecasts has intensified calls for greater transparency and alignment in government policy.
Analysts argue that without consistent and reliable data, it will be difficult for policymakers, investors, and regulators to make informed decisions about the future of AI infrastructure and its environmental impact.
As the UK continues to push forward with its AI ambitions, ensuring that energy demand forecasts are accurate and aligned across government will be critical to delivering both economic growth and climate commitments.