Manufacturing the computer chips that power AI and data centers requires enormous amounts of water, long before a data center ever turns on. Producing the ultrapure water needed for chip fabrication is highly inefficient, using far more freshwater than the final product contains. This hidden upstream water use places added strain on local water systems, especially in regions already facing water scarcity.
Key Facts
- Chip manufacturing is extremely water-intensive, requiring about 1,500 gallons of freshwater to produce 1,000 gallons of ultrapure water (Miguel Yanez-Barnuevo).
- A medium-sized data center can consume up to roughly 110 million gallons of water per year for cooling purposes, equivalent to the annual water usage of approximately 1,000 households. The nation’s 5,426 data centers consume billions of gallons of water annually (Miguel Yanez-Barnuevo).
- Each advanced chip consumes thousands of gallons of water during manufacturing before it is installed in a data center (Miguel Yanez-Barnuevo).
- Ultrapure water production creates waste streams, concentrating contaminants that must be treated or discharged (Miguel Yanez-Barnuevo).
- Water use is largely hidden from public reporting, making it difficult for communities to understand the full water footprint of AI and data infrastructure (Science and Environmental Health Network).
- Manufacturing facilities are often located in water-stressed regions, worsening competition between industry, households, agriculture, and ecosystems (Miguel Yanez-Barnuevo).
- Growing AI demand is rapidly increasing chip production, amplifying pressure on freshwater supplies nationwide.
Frequently Asked Questions (FAQs)
- Q. Why does chip manufacturing use so much water?
A. Chips require ultrapure water to rinse away microscopic particles during production, and creating that water wastes large amounts of freshwater.
- Q. What is ultrapure water?
A. Ultrapure water is water stripped of nearly all minerals and contaminants, which requires intensive filtering and results in significant water loss.
- Q. Does this water use affect local communities?
A. Yes. Large withdrawals can strain municipal water systems, raise costs, and reduce water availability for residents and farmers.
- Q. Is this water use regulated or publicly reported?
A. Often no. Many facilities do not fully disclose water use, limiting transparency and accountability.
- Q. How does AI growth affect water demand?
A. As AI expands, demand for chips increases, leading to more manufacturing and greater upstream water consumption.
Resources/ Sources
- Miguel Yanez-Barnuevo: Data Centers and Water Consumption. Explains how data centers and related infrastructure place growing demands on freshwater resources.
- Halt the Harm Network: Water Consumption Crisis. Outlines how data center growth is accelerating regional water stress.
- Karen Hao: You're Thinking About AI and Water All Wrong. Explains the hidden and upstream water impacts of AI infrastructure.
- Alex de Vries-Gao: The Carbon and Water Footprints of Data Centers and AI. Connects AI growth to rising water and energy demand.
- Shehabi, A.; Newkirk, A.; Smith, S.; Hubbard, A.; Lei, N.; Siddik, M., et al. (2024): 2024 United States Data Center Energy Usage Report. Provides national context for data center resource use, including water.
- Luke Barratt and Rosa Furneaux: Amazon Strategized About Keeping Its Data Centres' Full Water Use Secret. Reports on corporate efforts to limit transparency around water use.
- Science and Environmental Health Network: Water Use in Data Centers: What Do We Need to Know? Breaks down how water is used and why it matters.
- Friends of Earth: AI Threats to Climate Change. Connects AI growth to environmental pressures, including water use.
- Move Past Plastic: Data Center Toxins Infographic. Illustrates pollution risks tied to data center operations and waste streams.
- Sean Patrick Cooper: The Precedent Is Flint. Examines how data center expansion can worsen water crises.
- Midwest Environmental Advocates: Hyperscale Data Centers in Wisconsin Toolkit. Provides tools for understanding environmental impacts, including water.
- Citizen Action Coalition (Indiana): AI Data Center Build-Out Briefing. Describes local infrastructure and water concerns tied to AI expansion.
- Tom Perkins: Advocates Raise Alarm Over PFAS Pollution. Links water use to chemical contamination risks.
- Minnesota Legislature: Environmental Impacts of Artificial Intelligence Study Requirement. Requires analysis of AI's environmental impacts, including water.
- Halt the Harm Network: Chemical Storage & Environmental Hazards. Explains that AI data centers store large amounts of hazardous chemicals and lists related pollution and health risk indicators for nearby communities.