The UK's AI ambitions are facing a significant challenge as more than 100 new datacentres plan to burn gas to generate electricity, some potentially permanently. This shift towards fossil fuels raises questions about the country's climate targets and the sustainability of its AI programme. The urgency of the situation is underscored by the sheer scale of the datacentre projects in the queue, with 100GW of projects awaiting connection to the National Grid. The reliance on gas-fired generation is not unique to the UK; in the US, similar concerns have been raised about the environmental impact of gas-powered datacentres, with activists battling against Elon Musk's xAI for its methane-powered generators. The scale of the problem is immense, with 11 US datacentres serving Meta, OpenAI, Microsoft, and xAI projected to emit more carbon than the country of Morocco. The UK's National Energy System Operator (Neso) warns that this gas buildout could complicate Britain's climate goals, as the target was to get less than 5% of unabated gas supplying electricity in the system. The growth of artificial intelligence is driving the expansion of datacentres, and the UK government is taking steps to address the issue, including reforming demand connections and examining the prioritisation of strategic connections. However, critics argue that the rush for hyperscale AI datacentres is out of touch with the reality of climate science and the signs of climate breakdown. The situation highlights the complex trade-offs between technological advancement and environmental sustainability, and the need for a more nuanced approach to energy planning and policy.
