VISTA, CALIF.—AI data center water consumption is creating an unprecedented crisis in the United States. Data centers powering artificial intelligence systems consumed approximately 17 billion gallons of water in 2023, with projections showing water usage will surge to 68 billion gallons by 2028—a staggering 300 percent increase in just five years.
“Never in the history of this country has demand for water increased so dramatically in such a short time,” says Klaus Reichardt, CEO and Founder of Waterless Co., Inc. “This water consumption crisis will obviously reshape utility costs for businesses and consumers nationwide.”
How Much Water Does AI Actually Use?
Data centers require massive amounts of water to cool the processors running AI systems. The scale of AI water usage is remarkable:
- Single ChatGPT query: Approximately one-fifth of a teaspoon of water.
- Daily ChatGPT interactions: Over one billion queries.
- Annual water consumption (2023): 17 billion gallons across all AI data centers.
- Projected usage (2028): 68 billion gallons—nearly quadruple current levels.
Each AI interaction may seem small, but with billions of daily queries across ChatGPT, Google Gemini, and other AI platforms, the cumulative water consumption becomes staggering.
Why AI Data Centers Need So Much Water
AI data centers consume exponentially more water than traditional computing facilities due to:
- High-performance processors generating extreme heat.
- 24/7 cooling requirements for optimal performance.
- Increasing computational demands as AI models grow more sophisticated.
- Expansion of AI services across industries.
The Perfect Storm: Location & Water Scarcity
The data center water crisis is compounded by strategic location choices. Many AI data centers are built in the country’s driest regions to capitalize on abundant solar power and renewable energy sources. This places enormous strain on already-limited water supplies in areas least equipped to handle increased water demand.
Impact on Business Water Costs
As AI water consumption spikes in 2026, water costs are expected to rise dramatically across affected regions. The basic economic principle is clear: when billions more gallons are needed annually, price increases will follow.
What Rising Water Costs Mean for Industry
No industry can operate without water—from manufacturing and cleaning to packaging and sanitation. Businesses across all sectors should expect to pay significantly more for water in the coming years as AI data centers compete for the same limited water resources.
Industries most affected by rising water costs include manufacturing and production facilities, hospitality and food service, healthcare facilities, commercial real estate, agriculture and food processing.
Water Efficiency Solutions for the AI Era
“Obviously, the owners of these AI data centers know something must be done and quick,” says Reichardt. “However, technological solutions will take time to implement. The best thing we can do right now is use water more efficiently, which creates a long-term reduction in water consumption.”
Immediate Actions Businesses Can Take:
- Audit current water usage to identify inefficiencies.
- Implement water-saving technologies like waterless urinals and low-flow fixtures.
- Optimize cooling systems in existing facilities.
- Monitor water costs and budget for projected increases.
5. Develop water conservation strategies before price spikes hit.
The Future of AI & Water Sustainability
As artificial intelligence continues transforming business and society, addressing AI water consumption becomes critical. Tech companies, utilities, and businesses must collaborate on sustainable water management solutions before the 2028 crisis point arrives.
