A ‘thirsty’ generative AI boom poses a growing problem for Big Tech
Dubai, UNITED ARAB EMIRATES — A global rush for the next wave of generative artificial intelligence is increasing public scrutiny on an often-overlooked but critically important environmental issue: Big Tech’s expanding water footprint.
Tech giants, including the likes of Microsoft and Alphabet-owned Google, have recently reported a substantial upswing in their water consumption and researchers say one of the main culprits is the race to capitalize on the next wave of AI.
Shaolei Ren, a researcher at the University of California, Riverside, published a study in April investigating the resources needed to run buzzy generative AI models, such as OpenAI’s ChatGPT.
Ren and his colleagues found that ChatGPT gulps 500 milliliters of water (roughly the amount of water in a standard 16-ounce bottle) for every 10 to 50 prompts, depending on when and where the AI model is deployed.
Hundreds of millions of monthly users all submitting questions on the popular chatbot quickly illustrates just how “thirsty” AI models can be.
The study’s authors warned that if the growing water footprint of AI models is not sufficiently addressed, the issue could become a major roadblock to the socially responsible and sustainable use of AI in the future.
People take part in a protest called by Uruguay’s Central Union (PIT-CNT) in “defense of water” against the handling of the national authorities with respect to the management of the shortage of drinking water reserves in Montevideo on May 31, 2023.
Eitan Abramovich | Afp | Getty Images
ChatGPT creator OpenAI, part owned by Microsoft, did not respond to a request to comment on the study’s findings.
“In general, the public is getting more knowledgeable and aware of the water issue and if they learn that the Big Tech’s are taking away their water resources and they are not getting enough water, nobody will like it,” Ren told CNBC via videoconference.
“I think we are going to see more clashes over the water usage in the coming years as well, so this type of risk will have to be taken care of by the companies,” he added.
‘A hidden cost’
Data centers are part of the lifeblood of Big Tech — and a lot of water is required to keep the power-hungry servers cool and running smoothly.
For Meta, its these warehouse-scale data centers that generate not only the highest percentage of its water use but also the lion’s share of its energy use and greenhouse gas emissions.
In July, protesters took to the streets of Uruguay’s capital to push back against Google’s plan to build a data center. The proposal sought to use vast quantities of water at a time when the South American country was suffering its worst drought in 74 years.
Google reportedly said at the time the project was still at an exploratory phase and stressed that sustainability remained at the heart of its mission.
With AI, we’re seeing the classic problem with technology in that you have efficiency gains but then you have rebound effects with more energy and more resources being used.
Somya Joshi
Head of division: global agendas, climate and systems at SEI
In Microsoft’s latest environmental sustainability report, the U.S. tech company disclosed that its global water consumption rose by more than a third from 2021 to 2022, climbing to nearly 1.7 billion gallons.
It means that Microsoft’s annual water use would be enough to fill more than 2,500 Olympic-sized swimming pools.
For Google, meanwhile, total water consumption at its data centers and offices came in at 5.6 billion gallons in 2022, a 21% increase on the year before.
Both companies are working to reduce their water footprint and become “water positive” by the end of the decade, meaning that they aim to replenish more water than they use.
It’s notable, however, that their latest water consumption figures were disclosed before the launch of their own respective ChatGPT competitors. The computing power needed to run Microsoft’s Bing Chat and Google Bard could mean significantly higher levels of water use over the coming months.
“With AI, we’re seeing the classic problem with technology in that you have efficiency gains but then you have rebound effects with more energy and more resources being used,” said Somya Joshi, head of division: global agendas, climate and systems at the Stockholm Environment Institute.
“And when it comes to water, we’re seeing an exponential rise in water use just for supplying cooling to some of the machines that are needed, like heavy computation servers, and large-language models using larger and larger amounts of data,” Joshi told CNBC during the COP28 climate summit in the United Arab Emirates.
“So, on one hand, companies are promising to their customers more efficient models … but this comes with a hidden cost when it comes to energy, carbon and water,” she added.
How are tech firms reducing their water footprint?
A spokesperson for Microsoft told CNBC that the company is investing in research to measure the energy and water use and carbon impact of AI, while working on ways to make large systems more efficient.
“AI will be a powerful tool for advancing sustainability solutions, but we need a plentiful clean energy supply globally to power this new technology, which has increased consumption demands,” a spokesperson for Microsoft told CNBC via email.
“We will continue to monitor our emissions, accelerate progress while increasing our use of clean energy to power datacenters, purchasing renewable energy, and other efforts to meet our sustainability goals of being carbon negative, water positive and zero waste by 2030,” they added.
Aerial view of the proposed site of the Meta Platforms Inc. data center outside Talavera de la Reina, Spain, on Monday, July 17, 2023. Meta is planning to build a 1 billion ($1.1 billion) data center which it expects to use about 665 million liters (176 million gallons) of water a year, and up to 195 liters per second during “peak water flow,” according to a technical report.
Paul Hanna | Bloomberg | Getty Images
Separately, a Google spokesperson told CNBC that research shows that while AI computing demand has dramatically increased, the energy needed to power this technology is rising “at a much slower rate than many forecasts have predicted.”
“We are using tested practices to reduce the carbon footprint of workloads by large margins; together these principles can reduce the energy of training a model by up to 100x and emissions by up to 1000x,” the spokesperson said.
“Google data centers are designed, built and operated to maximize efficiency – compared with five years ago, Google now delivers around 5X as much computing power with the same amount of electrical power,” they continued.
“To support the next generation of fundamental advances in AI, our latest TPU v4 [supercomputer] is proven to be one of the fastest, most efficient, and most sustainable ML [machine leanring] infrastructure hubs in the world.”
CoreWeave‘s stock dropped 14% after the renter of artificial intelligence data centers reported a bigger-than-expected loss.
In its second quarterly financial results as a public company, CoreWeave reported an adjusted loss of 27 cents per share, compared to a 21-cent loss per share expected by analysts polled by LSEG.
CoreWeave’s results came as the lock-up period following its initial public offering is set to expire Thursday evening and potentially add volatility to shares. The term refers to a set period of time following a market debut when insiders are restricted from selling shares.
“We remain constructive long term and are encouraged by today’s data points, but see near-term upside capped by the potential CORZ related dilution and uncertainty, and the pending lock-up expiration on Thursday,” wrote analysts at Stifel, referencing the recent acquisition of Core Scientific.
Shares of Core Scientific fell 7% Wednesday.
In the current quarter, the company projects $1.26 billion to $1.30 billion in revenue. Analysts polled by LSEG forecasted $1.25 billion. CoreWeave also lifted 2025 revenue guidance to between $5.15 billion and $5.35, up from a $4.9 billion to $5.1 billion forecast provided in May and above a $5.05 billion estimate.
Some analysts were hoping for stronger guidance given the stock’s massive surge since going public in March. Others highlighted light capital expenditures guidance and a delay in some spending until the fourth quarter as a potential point of weakness.
“This delay in capex highlights the uncertainty around deployment time; as go-live timing is pushed, in-period revenue recognition will be smaller,” wrote analysts at Morgan Stanley.
The AI infrastructure provider said revenue more than tripled from a year ago to $1.21 billion as it continues to benefit from surging AI demand. That also surpassed a $1.08 billion forecast from Wall Street. Finance chief Nitin Agrawal also said during a call with analysts that demand outweighs supply.
The New Jersey-based company, whose customers include OpenAI, Microsoft and Nvidia, also said it has recently signed expansion deals with hyperscale customers.
CoreWeave acquired AI model monitoring startup Weights and Biases for $1.4 billion during the period and said it finished the quarter with a $30.1 billion revenue backlog.
Coreweave stock 6-month chart.
Apple CEO Tim Cook (R) shakes hands with U.S. President Donald Trump during an event in the Oval Office of the White House on August 6, 2025 in Washington, DC.
Win Mcnamee | Getty Images
Top tech executives are at the forefront of a recent swathe of unprecedented deals with U.S. President Donald Trump.
In just the last few days, the White House confirmed that two U.S. chipmakers, Nvidia and Advanced Micro Devices, would be allowed to sell advanced chips to China in exchange for the U.S. government receiving a 15% cut of their revenues in the Asian country.
Apple CEO Tim Cook, meanwhile, recently announced plans to increase the firm’s U.S. investment commitment to $600 billion over the next four years. The move was widely seen as a bid to get the tech giant out of Trump’s crosshairs on tariffs — and appears to have worked for now.
Altogether, analysts say the deals show just how important it is for the world’s largest companies to find some tariff relief.
“The flurry of deal-making is an effort to secure lighter treatment from tariffs,” Paolo Pescatore, technology analyst at PP Foresight, told CNBC by email.
“In some shape or form, all of the big tech companies have been negatively impacted by tariffs. They can ill afford to fork out on millions of dollars in additional fees that will further dent profits as underlined by recent quarterly earnings,” Pescatore said.
While the devil will be in the detail of these agreements, Pescatore said that Apple leading the way with its accelerated U.S. investment will likely trigger “a domino effect” within the industry.
Apple, for its part, has long been regarded as one of the Big Tech firms most vulnerable to simmering trade tensions between the U.S. and China.
Earlier this month, Trump announced plans to impose a 100% tariff on imports of semiconductors and chips, albeit with an exemption for firms that are “building in the United States.”
Apple, which relies on hundreds of different chips for its devices and incurred $800 million in tariff costs in the June quarter, is among the firms exempt from the proposed tariffs.
A ‘hands-on’ approach
The Nvidia and AMD deal with the Trump administration has meanwhile sparked intense debate over the potential impact on the chip giants’ businesses and whether the U.S. government may seek out similar agreements with other firms.
Some strategists described the arrangement as a “shakedown,” while others suggested it may even be unconstitutional and comparing it to a tax on exports.
White House spokesperson Karoline Leavitt said Tuesday that the legality and mechanics of the 15% export tax on Nvidia and AMD were “still being ironed out.” She also hinted deals of this kind could expand to other companies in future.
Ray Wang, founder and chairman of Constellation Research, described the Nvidia and AMD deal to pay 15% of China chip sales revenues to the U.S. government as “bizarre.”
Speaking on CNBC’s “Squawk Box” on Monday, Wang said what is “really weird” is there is still some uncertainty over whether these chips represent a national security issue.
“If the answer is no, fine OK. The government is taking a cut out of it,” Wang said. “Both Nvidia’s Jensen Huang and Lisa Su at AMD both decided that OK, we’ve got a way to get our chips into China and maybe there is something good coming out of it.”
Investor concerns
While investors initially welcomed the deal as broadly positive for both Nvidia and AMD, which once more secure access to the Chinese market, Wang said some in the industry will nevertheless be concerned.
“As an investor, you’re worried because then, is this an arbitrary decision by the government? Does every president get to play kingmaker in terms of these deals?” Wang said.
“So, I think that’s really what the concern is, and we still have additional tariffs and trade deals to come from the China negotiations,” he added.
Looking ahead, Dan Niles, founder and portfolio manager at Niles Investment Management, said the question for investors is whether the Trump administration’s “hands-on” approach is positive or negative for U.S. companies.
“I think for each company, it is very different. So, it certainly it is something I take into account. The bigger thing for me is do you have some stability of policy? Do you have a policy one week and then it flips the next?” Niles told CNBC’s “Closing Bell: Overtime” on Monday. “Right now, that is what concerns me a little bit more.”
— CNBC’s Arjun Kharpal and Kif Leswing contributed to this report.
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