AI Boom Strains US Water Resources, Poses Economic Risks: JPMorgan Report

Curated by THEOUTPOST

On Tue, 29 Oct, 12:08 AM UTC

2 Sources

Share

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.

AI Boom Intensifies Water Stress in the US

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.

Data Centers: Thirsty Giants of the AI Era

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:

  • A mid-sized data center uses about 300,000 gallons of water daily
  • Larger data centers can consume up to 5 million gallons per day, equivalent to a town of 10,000 to 50,000 residents
  • In 2023, US-based data centers used over 75 billion gallons of water

Chip Manufacturing: A Double-Edged Sword

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.

Economic and Environmental Implications

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.

Infrastructure Investment Needed

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.

Future Outlook and Opportunities

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.

Continue Reading
Data Centers' Water Consumption Surges Amid AI Boom,

Data Centers' Water Consumption Surges Amid AI Boom, Raising Environmental Concerns

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.

SiliconANGLE logoTechCrunch logo

2 Sources

SiliconANGLE logoTechCrunch logo

2 Sources

UK Experts Call for Mandatory Reporting of AI Data Center

UK Experts Call for Mandatory Reporting of AI Data Center Resource Consumption Amid Environmental Concerns

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.

The Guardian logoBBC logo

2 Sources

The Guardian logoBBC logo

2 Sources

The Hidden Environmental Cost of AI: ChatGPT's Massive

The Hidden Environmental Cost of AI: ChatGPT's Massive Energy Consumption

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.

Tom's Guide logoDigital Trends logoTom's Hardware logo

3 Sources

Tom's Guide logoDigital Trends logoTom's Hardware logo

3 Sources

AI Data Centers Face Looming Power Crisis: Gartner Predicts

AI Data Centers Face Looming Power Crisis: Gartner Predicts Widespread Shortages by 2027

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.

CXOToday.com logoPC Magazine logoTechCrunch logoFast Company logo

4 Sources

CXOToday.com logoPC Magazine logoTechCrunch logoFast Company logo

4 Sources

AI's Energy Dilemma: Data Centers Push Power Grids to the

AI's Energy Dilemma: Data Centers Push Power Grids to the Limit

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.

theregister.com logoQuartz logoTechRadar logoTom's Hardware logo

4 Sources

theregister.com logoQuartz logoTechRadar logoTom's Hardware logo

4 Sources

TheOutpost.ai

Your one-stop AI hub

The Outpost is a comprehensive collection of curated artificial intelligence software tools that cater to the needs of small business owners, bloggers, artists, musicians, entrepreneurs, marketers, writers, and researchers.

© 2025 TheOutpost.AI All rights reserved