AI's Thirst for Water: The Hidden Cost of Cooling Data Centers

As artificial intelligence expands, another resource is becoming increasingly important: water. Behind the powerful processors driving AI are cooling systems that can place significant demands on local water supplies.

Artificial intelligence may appear to operate entirely in the digital world, but the infrastructure supporting it is very real.

Thousands of powerful processors work around the clock inside enormous data centers, generating substantial amounts of heat.

Without effective cooling, these systems could overheat, lose performance, or suffer equipment failures.

For some facilities, the solution involves something surprisingly familiar: water.

As companies construct increasingly powerful AI data centers, questions are emerging about how much water they consume, where that water comes from, and whether nearby communities could be affected.

1. Why Do AI Data Centers Need So Much Cooling?

Modern AI systems depend on specialized processors capable of performing enormous numbers of calculations.

These processors consume electricity, and much of that electrical energy ultimately becomes heat.

The more processors operating together, the greater the amount of heat that must be removed.

According to the International Energy Agency (IEA), the power density of AI servers increased elevenfold between 2020 and 2025.

This creates a significant engineering challenge.

Traditional cooling systems circulate air through server rooms, but increasingly dense computing equipment may require more advanced methods.

Water-based cooling can remove large quantities of heat efficiently, making it attractive for high-performance computing environments.

2. How Does Water Cooling Work?

Several cooling technologies are used in modern data centers.

Air cooling: Fans move air across electronic equipment, while air-conditioning systems remove heat from the building.

Evaporative cooling: Water absorbs heat and some of it evaporates, helping cool the facility. Because evaporation removes water from the local supply, additional water must be provided.

Liquid cooling: A liquid circulates near processors or through specialized cooling plates, transferring heat away from the equipment.

Some liquid-cooling systems circulate fluid through closed loops, meaning the same fluid can be reused repeatedly.

However, a closed-loop system may still reject heat through cooling towers that consume water.

The distinction matters: using liquid cooling doesn't automatically mean a data center consumes large amounts of fresh water—or none at all.

The final water footprint depends on how the facility releases heat into its surroundings.

3. How Much Water Do Data Centers Actually Consume?

The numbers can be substantial.

A 2024 report from Lawrence Berkeley National Laboratory estimated that U.S. data centers directly consumed approximately 66 billion liters of water in 2023, equivalent to roughly 17.4 billion U.S. gallons.

That estimate covers the broader data center industry, not exclusively AI facilities.

Water consumption varies considerably between facilities.

A data center in a cool climate may be able to use outside air for cooling during much of the year.

Another facility in a hot, dry region may depend more heavily on evaporative cooling.

The technology, operating conditions, and local climate all influence the amount of water required.

This is why comparing data centers using a single universal water-consumption figure can be misleading.

4. Water Usage Effectiveness: Measuring the Impact

The data center industry uses a measurement called Water Usage Effectiveness (WUE).

WUE compares the water consumed for cooling and humidification with the electricity used by IT equipment.

It is commonly expressed in liters per kilowatt-hour.

For example, a facility with a WUE of 0.30 liters per kilowatt-hour would consume approximately 300 liters of water for every 1,000 kilowatt-hours used by its IT equipment.

Microsoft reported a global WUE of 0.27 L/kWh for fiscal year 2025 across its qualifying owned and operated data centers.

However, WUE alone doesn't tell the entire story.

A facility with excellent water efficiency could still consume substantial quantities of water if its computing operations are enormous.

5. What Happens When Data Centers Compete for Water?

Water availability varies dramatically around the world.

Some regions have abundant freshwater resources, while others experience recurring droughts, declining groundwater levels, or growing demand from agriculture and urban development.

When a large data center is constructed in a water-stressed region, its cooling requirements may introduce another major demand on the local water system.

This doesn't automatically mean households will lose access to water.

However, communities may need to consider whether existing infrastructure can support additional consumption without creating shortages or requiring expensive upgrades.

The impact also depends on whether facilities use drinking-quality water, reclaimed wastewater, or other nonpotable sources.

A data center using recycled municipal wastewater may have a very different impact from one relying on limited groundwater supplies.

These differences should be evaluated before major projects receive approval.

6. The Hidden Water Consumption Behind Electricity

There's another important part of the story.

Even data centers that use relatively little water directly may have an indirect water footprint through electricity generation.

Many power plants use water for cooling, and some generation technologies consume water through evaporation.

As AI data centers demand more electricity, their water footprint can extend beyond the buildings themselves.

This means a data center could reduce its on-site water consumption while still depending on electricity generated by water-intensive facilities elsewhere.

A complete environmental assessment should therefore examine both:

Direct water consumption: Water used at the data center.

Indirect water consumption: Water associated with electricity generation and other parts of the supply chain.

The distinction helps explain why a facility advertised as using no water for cooling may still have a broader water footprint.

7. Can AI Data Centers Operate Without Consuming Water for Cooling?

Yes. New cooling designs are making this increasingly practical.

Microsoft announced a next-generation data center design that uses closed-loop chip-level liquid cooling to eliminate water evaporation for cooling.

Once filled, the system recirculates cooling fluid instead of continually replacing water lost through evaporation.

The company estimated that the design could avoid more than 125 million liters of cooling-water demand annually per data center compared with its earlier design assumptions.

Microsoft identified projects in Arizona and Wisconsin as pilots for this technology.

However, eliminating evaporative cooling can introduce trade-offs.

Mechanical cooling may require additional electricity, depending on the climate and system design.

This creates an engineering challenge: reducing water consumption without unnecessarily increasing energy demand.

8. Could Recycled Water Help Solve the Problem?

Reclaimed water offers another potential solution.

Instead of relying exclusively on drinking-quality water, data centers may use treated wastewater or other suitable nonpotable supplies.

This approach can reduce competition with municipal drinking-water systems.

However, recycled-water infrastructure requires investment, treatment, monitoring, and reliable delivery.

Not every community has an existing supply capable of supporting a large industrial customer.

The effectiveness of recycled water therefore depends heavily on local conditions.

9. Should Communities Be Concerned?

Communities considering new data center developments should ask several important questions.

How much water will the facility consume annually?

Where will that water come from?

Will the facility operate during drought restrictions?

Could recycled water replace freshwater?

Will local utilities need expensive infrastructure upgrades?

And will water-consumption information be publicly available?

These are reasonable questions about resource management, not arguments against technological progress.

Data centers can bring economic investment, construction jobs, and additional tax revenue.

The objective should be ensuring that those benefits are balanced against environmental costs and the needs of existing water users.

10. The Future of Water-Efficient AI Infrastructure

Artificial intelligence is creating incentives to develop better cooling technologies.

Direct-to-chip liquid cooling, closed-loop systems, improved heat exchangers, reclaimed-water networks, and smarter facility management may all help reduce water demand.

Some facilities may even recover waste heat for useful applications.

But the rapid expansion of AI introduces a complication.

Even if individual data centers become more water-efficient, total water demand could continue increasing as more facilities are constructed.

Efficiency improvements are valuable, but they must be considered alongside overall industry growth.

Final Thoughts: The True Cost of Digital Intelligence

Artificial intelligence is often described as an invisible digital technology.

Yet the systems powering it depend on physical resources: electricity, land, minerals, advanced processors, and sometimes enormous quantities of water.

Water-based cooling can be highly effective, but its environmental consequences depend on how systems are designed and where facilities are located.

The good news is that alternatives exist.

Closed-loop cooling, reclaimed water, efficient equipment, and responsible infrastructure planning can help reduce pressure on local resources.

As the AI infrastructure boom continues, the question shouldn't simply be how much computing power companies can build.

It should also be:

Can we build the technology of tomorrow without compromising the resources communities depend on today?