Two planned datacentres in England will produce higher UK carbon emissions than ExxonMobil, according to a new analysis, highlighting the serious threat to the nation's climate targets. The Wapseys Wood and Quest Park facilities, if fully operational, will emit over 4.5 million tonnes of carbon annually, surpassing ExxonMobil's 3.9 million tonnes in 2023. This revelation underscores the growing environmental impact of AI-driven data infrastructure.
The Carbon Footprint of AI Datacentres
AI datacentres require massive electricity for servers, cooling, and facility systems. The two projects alone will use 1.3GW of power. With 315 datacentres queued for grid connection, representing 73GW of demand—nearly double the UK's peak winter demand—the strain on the energy system is immense. To bypass grid delays, these datacentres plan to build on-site gas-fired power stations, further increasing emissions.
Comparison: Datacentres vs. ExxonMobil
| Entity | Annual Carbon Emissions (tonnes) |
|---|---|
| Wapseys Wood & Quest Park Datacentres | 4.577 million |
| ExxonMobil (UK operations, 2023) | 3.9 million |
Foxglove's analysis, based on government carbon intensity figures, assumes 100% utilisation. A government spokesperson called these figures "misleading," but experts argue the trajectory is concerning.
Threat to Climate Goals
The UK has legally binding targets to cut emissions, yet datacentre growth could derail progress. Experts from Foxglove emphasize the need for sustainable energy solutions and stricter regulations. Without intervention, the carbon footprint of digital infrastructure will continue to soar.
Key Takeaways
- Two datacentres will emit more carbon than ExxonMobil's UK operations.
- AI's energy demand is driving a surge in datacentre construction.
- On-site gas plants exacerbate emissions, undermining climate goals.
- Policy changes and renewable energy adoption are critical.
FAQ
Why do datacentres emit so much carbon?
How does this affect UK climate targets?
What can be done to reduce datacentre emissions?
As the digital economy expands, balancing AI growth with sustainability is imperative. The findings serve as a wake-up call for policymakers and industry leaders to prioritize greener infrastructure.
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