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On Tue, 29 Oct, 12:08 AM UTC
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JPMorgan Says AI Power Demand Is Straining US Water Supplies
JPMorgan Chase & Co. says the US is facing significant strains on its water supply that have the potential to harm the world's largest economy and eat into corporate valuations. The water resources of the US, already overstretched, are being further stressed by the boom in artificial intelligence, according to a report published on Monday by JPMorgan and sustainability consultancy ERM, titled The Future of Water Resilience in the US.
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AI chips and data centers are worsening U.S. water strain, JPMorgan says
The artificial intelligence boom is making water strain in the U.S. worse, a new report says -- and it could lead to global supply chain disruptions. Water-stressed regions of the U.S., including in Arizona and Texas, are expecting increased manufacturing of data centers, chip fabrication facilities, and other AI-related infrastructure that need massive amounts of water to operate, according to a report called "The Future of Water Resilience in the U.S." by J.P.Morgan Chase (JPM+1.15%) and the ERM Sustainability Institute. Data centers, which are essential to AI model training, require water to cool server rooms -- often from drinking water sources, the report said. While a growing and moving U.S. population is the main driver of a decrease in fresh water supply in parts of the U.S., according to the report, "20% of the water used by data centers today is drawn from already stressed watersheds, presenting risks to the technology industry and the surrounding communities and environment." A mid-sized data center consumes, on average, about 300,000 gallons of water each day, according to the report. But larger data centers can use up to 5 million gallons of water each day -- or the same amount as a town with 10,000 to 50,000 residents, the report said, adding that in 2023, U.S.-based data centers used over 75 billion gallons of water. Additionally, data centers require chips, which need vast amounts of water to manufacture. Chips also discharge "highly toxic wastewater that is saturated with chemicals and heavy metals," according to the report. Climate change and water management issues already create challenges for the water supply, but "AI and data centers are increasing the scale of the challenge," Rama Variankaval, global head of corporate advisory at J.P.Morgan and a leading contributor to the report, said in a statement shared with Quartz. But it's "also putting a spotlight on the issue." Mishandling the impact on water-stress "could cause real disruption to global supply chains," the report said, especially in the AI industry, which count data centers and chips as crucial businesses. Despite the negative impact to climate goals, experts previously told Quartz that data and other AI infrastructure will be the winners of AI's next phase, as companies seek to power their growing AI offerings. Water investment is needed in the U.S., the report said, adding that water "scarcity and unpredictability" could slow GDP growth by up to 6% in areas already impacted by water stress. According to the report, water infrastructure in the U.S. has an annual shortfall of $91 billion in public spending. And growing data center demand is happening amid changing precipitation patterns that are increasing rainfall and snowfall in some areas, while leading to shortages in others. While data center sites are determined with cheap, clean energy access in mind, "incremental water stress on these locations is expected to impact site location for future data centers," the report said. Investments into flood control infrastructure and water and wastewater treatment infrastructure are needed, the report said, while emerging technologies such as decentralized and circular waste systems have growing market opportunity. "The increased scale of the challenge, the availability of a set of solutions (each applicable in different situations), and the public attention to the issue are bringing in various stakeholders, including investors, to focus on the water space," Variankaval said.
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A new report by JPMorgan Chase and ERM highlights the increasing strain on US water resources due to the AI boom, particularly from data centers and chip manufacturing. This trend poses risks to the economy, environment, and global supply chains.
A new report titled "The Future of Water Resilience in the US," jointly published by JPMorgan Chase and sustainability consultancy ERM, has shed light on a growing concern: the artificial intelligence (AI) boom is exacerbating water stress in the United States 1. This development has the potential to harm the world's largest economy and impact corporate valuations.
At the heart of this issue are data centers, crucial for AI model training. These facilities require substantial amounts of water for cooling, often sourced from drinking water supplies. The report reveals that 20% of the water used by data centers today is drawn from already stressed watersheds 2.
The scale of water consumption is staggering:
The AI industry's water footprint extends beyond data centers. Chip manufacturing, essential for AI infrastructure, also requires vast amounts of water. Moreover, this process generates highly toxic wastewater saturated with chemicals and heavy metals, further complicating water management issues 2.
The report warns that mishandling the impact on water stress "could cause real disruption to global supply chains," particularly in the AI industry 2. Water scarcity and unpredictability could slow GDP growth by up to 6% in areas already affected by water stress.
The JPMorgan report highlights a significant annual shortfall of $91 billion in public spending on water infrastructure in the US. Investments in flood control, water and wastewater treatment infrastructure are urgently needed. The report also points to emerging technologies such as decentralized and circular waste systems as potential solutions 2.
While the AI boom is intensifying water stress, it's also drawing attention to the issue. Rama Variankaval, global head of corporate advisory at JPMorgan, notes that the increased scale of the challenge, available solutions, and public attention are bringing various stakeholders, including investors, to focus on the water space 2.
As the AI industry continues to grow, balancing technological advancement with sustainable water management will be crucial for economic stability and environmental preservation in the United States.
Reference
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The rapid growth of data centers, driven by AI demand, is causing a significant increase in water consumption. This trend is particularly evident in Virginia, raising alarms among environmentalists about sustainability and resource management.
2 Sources
2 Sources
Experts urge the UK government to require tech companies to report energy and water usage of AI data centers, highlighting the environmental risks associated with the rapid growth of AI technology.
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2 Sources
As AI technology advances, concerns grow over its environmental impact. ChatGPT and other AI models are consuming enormous amounts of energy and water, raising questions about sustainability and resource management in the tech industry.
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3 Sources
Gartner forecasts that 40% of AI data centers will face operational constraints due to power shortages by 2027, as the rapid growth of AI and generative AI drives unprecedented increases in electricity consumption.
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4 Sources
The rapid growth of AI is straining power grids and prolonging the use of coal-fired plants. Tech giants are exploring nuclear energy and distributed computing as potential solutions.
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4 Sources
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