The UK's ambitious plans for AI growth are facing a critical challenge: a potential water crisis. The country's water industry has sounded the alarm, warning that the government's AI growth strategy is severely lacking in consideration for the water demands of datacentres. This oversight could have far-reaching implications, not just for the environment but also for the economy and society as a whole. In my opinion, this issue highlights a deeper problem with the way we approach technological advancement in the UK, and it's time we had a serious conversation about it.
The Water-AI Conundrum
The relationship between water and AI is a complex one. On the one hand, datacentres are essential for the development and deployment of AI technologies, providing the computational power needed to train and run AI models. On the other hand, these datacentres consume vast amounts of water for cooling, which is a critical factor in their operation. What makes this particularly fascinating is that the water industry has been largely left out of the conversation around AI growth. The government's strategy, as outlined in documents like the AI for Science strategy and the AI Opportunities action plan, seems to have overlooked the very resource that powers these technologies.
A Flawed Forecast
Water UK, the trade body representing water companies in Britain and Northern Ireland, has raised concerns about the government's water forecasts. These forecasts, they argue, are 'fatally flawed' and 'explicitly exclude' datacentres. The briefing to MPs highlights a startling fact: the government makes 'not a single mention of water' in its policy for delivering AI growth zones. This is a critical oversight, as it implies a fundamental misunderstanding of the resource requirements of the AI industry. From my perspective, it's as if the government is building a house of cards without considering the foundation upon which it stands.
The Environmental Impact
The implications of this oversight are far-reaching. The Environment Agency's national framework for water resources, published in June 2025, failed to include an estimate of the water demands of datacentres. This is a significant gap, as it suggests an assumption that the country will always have enough water for its economic needs. Nothing could be further from the truth, as the UK is already facing water shortages, with England predicted to face a 5bn-litre-a-day shortfall for public water supplies by 2055. This raises a deeper question: how can we expect to grow our AI industry sustainably when we're not even considering the environmental impact of our current practices?
The Datacentre Dilemma
The UK's highest concentration of datacentres is in Slough, where Affinity Water serves about 125 proposed or under-construction datacentres. These datacentres are requesting up to 3m litres of water a day, equivalent to the peak water demand of 3,500 homes. The planning framework, built around household growth and per-capita consumption, has not adapted to commercial users whose water needs can match those of a market town. This is a critical issue, as it suggests a system that is not equipped to handle the water demands of the AI industry. It's as if we're trying to fit a square peg in a round hole.
The Government's Response
The government has acknowledged the issue, with a spokesperson stating that the environment and sustainable development must go hand-in-hand. They have committed to protecting the water supply while unlocking growth, including looking at alternatives or ways to minimise the impact on supplies and output of wastewater from datacentres. However, the delay in publishing a national policy statement for AI growth raises concerns about the government's commitment to addressing this issue. It's as if we're waiting for the storm to hit before building the dam.
The Way Forward
The UK needs to take a step back and rethink its approach to AI growth. We must consider the water demands of datacentres as a critical factor in our planning and policy-making. This includes publishing a drought hierarchy to set out which sectors are prioritised in times of water shortages. Without this, there will be a trade-off across society, with datacentres potentially being prioritised over households at times of peak water demand. It's a delicate balance, and one that requires careful consideration.
In my opinion, the UK's water crisis is a wake-up call for the AI industry. We must learn from this and ensure that our technological advancements are sustainable and environmentally responsible. The future of AI in the UK depends on it, and so does the health of our planet.
