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Data Center News > Blog > Global Market > Forecasting water shortages could be made harder by AI boom
Global Market

Forecasting water shortages could be made harder by AI boom

Last updated: June 19, 2025 9:55 am
Published June 19, 2025
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Forecasting water shortages could be made harder by AI boom
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The speedy progress of AI is leaving the Setting Company unable to precisely forecast future water shortages, in keeping with a new report from The Guardian. 

Whereas the info centre business offers with its fame for utilizing an infinite quantity of energy, the sector is dealing with a brand new entrance in its battle for good PR – how a lot water it consumes. Because the launch of enormous language fashions corresponding to Google’s Gemini and OpenAI’s ChatGPT, a highlight has been shone on the water utilization of knowledge centres. 

That has led some on the Setting Company to precise concern – noting that as a result of information centres will not be compelled to disclose the quantity of water they’re consuming from the general public water provide, it makes their job more durable to foretell potential future water shortages. 

Based on the Setting Company, England faces a possible day by day shortfall of 5 billion litres in public water provide by 2055 if pressing motion is just not taken. An additional 1 billion litres a day may very well be required for farming, power technology, and rising applied sciences. Nonetheless, the determine for industrial use omits the contribution of knowledge centres. That worry is compounded by the expansion of AI. 

Information centre’s water utilization downside

It’s not unfaithful to say that information centres can use plenty of water, and the worry is that AI is making the difficulty even worse. Actually, it’s reported that throughout Microsoft’s international operations, AI processes use between 1.8 and 12 litres of water per KWh of power consumed. In the meantime, one international examine has projected AI water consumption may hit 6.6 billion cubic metres yearly by 2027 – almost two-thirds of England’s present yearly consumption. Simply final week, OpenAI CEO Sam Altman revealed that a single ChatGPT query uses about fifteenth of a teaspoon of water. 

See also  AI Boom Sparks $2 Billion Bet on DataBank Led by Australian Pension Fund

It’s little doubt stirring up public worry that information centres are taking greater than their justifiable share of water from public methods, nevertheless it’s additionally true that most of the points surrounding water utilization in information centres comes from a choose few cooling applied sciences. The issue is, after all, these cooling applied sciences are extensively used – we’re speaking about air handlers that usually make use of evaporative cooling methods. These are amongst the biggest culprits in the case of water utilization within the information centre sector – however whereas their deployment is widescale in the mean time, they’re starting to fall out of style simply because the AI growth takes maintain. 

Based on the Setting Company sources chatting with The Guardian the explosion of AI is likely one of the most dramatic shifts in projected demand lately, nevertheless it may truly assist cut back the quantity of water consumed by information centres. That’s as a result of because the chips start to eat extra energy and run hotter – like Nvidia’s most up-to-date Blackwell AI chips – options to conventional cooling should be discovered, and liquid cooling seems to be the reply. 

Actually, Nvidia’s GB200, the corporate’s flagship AI chip, requires direct-to-chip liquid cooling, which paradoxically makes use of much less water. Which means as new AI information centres come on-line, they’re extra more likely to make use of closed-loop methods that use far much less water than conventional services that relied on cheaper air handlers that guzzled up water. 

See also  White House brands BGP routing a ‘national security concern’ as it unveils reform roadmap

The shift to liquid cooling has already begun

Information Centre Evaluate is scheduled to launch a report on cooling very quickly, and in it we discovered that many within the business have already begun the shift to liquid cooling – with Equinix even noting that direct-to-chip liquid cooling turns into a necessity generally when rack densities attain round 25-30 kW. McKinsey estimates that rack densities are likely to average 30 kW by 2027 – which means we’re already heading down the street the place conventional air cooling is struggling to maintain up. 

Whether or not the business can shift the notion that it’s irresponsible with sources – be it energy or water – regardless of its current advances, that’s but to be seen. But it surely needs to be famous that whereas the business doesn’t extensively publicise the precise quantity of water it makes use of, Water Utilization Effectiveness (WUE), a metric that measures how effectively a knowledge centre makes use of water, has develop into extra vital lately. 

Actually, reporting on WUE is now mandated by the EU for all information centres above 500 kW, and most of the large hyperscalers are willingly opting to report it globally – whether or not it’s Microsoft, AWS, or Google. That ought to assist allay fears that information centres are going to trigger widespread water shortages sooner or later. 

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Information centre’s water utilization downsideThe shift to liquid cooling has already begun
TAGGED: Boom, Forecasting, harder, shortages, water
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