Does AI Use Water?

Created with the help of AI

When people think about artificial intelligence, they usually think about data, algorithms, and computing power.

What most people don’t realize is that AI also depends on something much more physical:

Water.

So, does AI use water?

Yes, it does—and in ways that are often overlooked.

Artificial intelligence systems run on massive data centers. These facilities are filled with servers that process and store information. As these machines work, they generate a significant amount of heat. Without cooling systems, they would overheat and fail.

This is where water comes in.

Many data centers rely on water-based cooling systems to keep temperatures under control. Water is circulated through cooling towers or used in evaporative cooling systems to absorb and remove heat from the equipment. This process helps maintain stable operating conditions, but it also consumes large volumes of water.

In some cases, the amount of water used can be substantial.

Research has shown that training large AI models and running them at scale can require millions of gallons of water, especially when accounting for both direct cooling and indirect usage through electricity production. Power plants that generate the electricity used by data centers also often rely on water for cooling, which adds another layer to AI’s water footprint.

This means AI uses water in two ways: directly in data center cooling systems and indirectly through energy production.

The location of data centers plays a major role in how significant this impact is. Facilities built in hot or dry regions often require more aggressive cooling, increasing water consumption. In areas already facing drought or water scarcity, this can become a serious concern.

At the same time, demand for AI is growing rapidly.

As more people use AI tools for writing, research, design, and automation, the number of data centers and the amount of computing power required continues to increase. This expansion puts additional pressure on water resources, especially in regions where infrastructure is already strained.

However, the story does not end there.

Tech companies are aware of these concerns and are actively working on solutions. Some are shifting toward air cooling systems that reduce or eliminate water use. Others are building data centers in cooler climates where less cooling is required. There is also a growing push to use recycled or non-potable water instead of drinking water for cooling purposes.

In addition, advances in AI efficiency are helping reduce resource consumption. Smaller, more optimized models require less computing power, which in turn reduces both energy and water use.

Still, transparency remains a challenge.

Not all companies disclose how much water their AI systems consume, making it difficult to fully understand the scale of the issue. Researchers continue to study the environmental impact of AI, and water usage is becoming an increasingly important part of that conversation.

So, does AI use water?

Yes—and as AI continues to grow, its water footprint is likely to grow with it.

Understanding this hidden cost is important. It allows individuals, companies, and policymakers to make more informed decisions about how AI is developed and deployed.

Artificial intelligence may exist in the digital world, but its impact is deeply physical. It relies on real-world resources, including water, energy, and materials.

As we move forward, the goal will not be to stop using AI, but to use it more responsibly.

Because the future of AI is not just about innovation.

It is also about sustainability.

We have to ask ourselves? Is water life? And, if it is, should we then decide to not waste it on sugary soda pops and junk foods? Use it to fuel the development of Earth saving and Water Saving tech with AI?

Top 10 Companies Known for Massive Water Use

1. Coca-Cola

One of the most cited corporate water users globally

Extracts billions of liters annually for beverages

Heavy impact in water-stressed regions (India, Mexico, Africa)

2. PepsiCo

Large water footprint across beverages and agriculture supply chain

Has faced scrutiny in drought-prone regions

3. Nestlé (now Nestlé Waters / BlueTriton)

Major bottled water extraction globally

Licensed to extract hundreds of millions of liters annually in some regions

4. Danone

Global bottled water brands (Evian, etc.)

Large groundwater extraction operations

5. Amazon (AWS Data Centers)

Massive water use for cooling data centers

Facilities often use millions of gallons per day

6. Microsoft

AI and cloud computing driving rapid increase in water use

Projected billions of liters annually due to data center expansion

7. Google (Alphabet)

Data centers require significant cooling water

Also operates in water-scarce regions (increasing scrutiny)

8. ExxonMobil

Oil refining and petrochemical processing require large water volumes

Energy sector is one of the biggest industrial water users

9. Tesla

Manufacturing (especially batteries) is water-intensive

Facilities have raised concerns in drought-prone regions like Texas

10. General Mills

Agriculture-heavy supply chain (grains, crops)

Agriculture is the largest global water consumer by far

Important Context: It’s Really About Industries

The biggest takeaway is this:

👉 The highest water use comes from industries, not just individual companies.

The top water-consuming sectors globally:

Agriculture (by far the largest)

Energy (power plants, oil & gas)

Manufacturing

Food & beverage production

Data centers / AI infrastructure

The Key Insight

Most of these companies don’t just use water directly.

They use it through:

Supply chains (farming, mining, materials)

Energy production

Cooling systems

Manufacturing processes

This means their true water footprint is much larger than reported numbers.

Bottom Line

The companies using the most water tend to fall into three groups:

Food & beverage giants (Coca-Cola, Nestlé, PepsiCo)

Energy & manufacturing companies (ExxonMobil, Tesla)

Tech & AI infrastructure companies (Amazon, Microsoft, Google)

At some point, humanity is going to have to make a decision about priorities. Water is finite, and how we use it reflects what we value. Right now, vast amounts of freshwater are used to produce sugary drinks, ultra-processed foods, and products that contribute to declining health and rising disease.

At the same time, emerging technologies like AI—while not without cost—have the potential to help solve some of the most urgent problems we face, from climate modeling and environmental restoration to mental health support and medical breakthroughs.

This doesn’t mean the choice is simple or absolute, but it does raise an uncomfortable question: do we want to continue allocating precious resources toward consumption that may harm us, or toward tools that could help us understand, heal, and sustain ourselves? The future may depend less on the technology itself and more on how consciously we choose to use the resources behind it.

And as AI continues to grow, tech companies are rapidly climbing this list, especially due to water-intensive data centers.