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Are data centers fueling the global water crisis?
DW (English)
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2 weeks ago
In Chile, Uruguay, and the United States, local communities are protesting against tech giants like Google and Amazon for their artificial intelligence technology and its growing thirst for water.
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00:00
Protests against tech giants are erupting everywhere, in Chile, Uruguay and the United
00:07
States. While water pipes run dry and the soil dries out, Amazon, Microsoft and Google are
00:15
building massive data centers in regions already suffering from drought. Computing power requires
00:21
enormous amounts of water, leaving little for local communities and agriculture. More data,
00:27
more cloud computing, more AI. And it's accelerating with no signs of slowing down. Environmental
00:34
protection or technological progress? Is it possible to have both? Data centers and the battle for water.
00:41
Typically a data center is planned and then there's a lot of pushback. There have been protests
00:50
in Latin America. The region is facing extreme drought and water shortages. Uruguay especially
00:56
struggled in 2023 during its worst drought in 75 years. And then Google happened to show up at
01:06
exactly the same time. Google wanted to use 7.6 million liters of water per day,
01:14
enough to supply 22,000 people. And during a drought, an extreme water crisis.
01:19
Daniel Pena is a scientist and activist. He's critical of the lack of community input.
01:27
There was no public dialogue and no public hearing. The project was classified as category B,
01:35
considered low to moderate risk. As a result, public involvement was minimal.
01:41
Daniel Pena is concerned about significant environmental impacts from the Google Cloud
01:48
project. The Santa Lucia River is important for the capital city Montevideo. The battle over water
01:55
has already begun here. When there's no clean water from the tap, bottled water is the only option left.
02:01
Not everyone can afford bottled water. People on low incomes don't have the money.
02:11
The water tastes bad. It causes stomach aches. Sometimes even headaches.
02:19
AI and cloud computing are booming. Data centers, the backbone of AI,
02:24
need massive computing power and water. Global demand is growing exponentially.
02:32
These huge centers are often built in some of the world's driest regions. And resistance is growing.
02:38
People want more transparency, a say in the process, clean air and clean water.
02:44
That's the situation in Uruguay in the summer of 2025. Construction on Google's 850 million dollar
02:51
cloud project near Montevideo has been underway for a year and will take more than two.
02:56
It promises jobs and innovation and local and national leaders see it as a key investment.
03:06
I think the process was good. I think it's clear that it's now in the construction phase
03:13
and that the project hasn't caused any major inconveniences.
03:16
We hope that once it's up and running they can generate synergies that can attract other types
03:28
of industries and activities associated with technological innovation.
03:35
What companies are we talking about? Who are the major global players in the computing power business?
03:40
It's the big three. Amazon subsidiary, AWS, Microsoft Azure and Google Cloud. Together they account for two-thirds of the market.
03:51
Why is so much being built? Because we want it. Industry, the economy, society. The demand is there.
03:58
But the environmental impact is significant. In many large data centers much of the cooling water simply evaporates.
04:05
That's because it's not reused in a closed loop but sent through cooling towers where it absorbs heat from servers and escapes as vapor.
04:20
In fact evaporation is the most efficient way of removing heat. That's why we for example we sweat.
04:27
When we get too hot that evaporation of the of our sweat off of our skin is an effective way of keeping us cool and keeping us from overheating.
04:35
Aron Wemhoff is a data center sustainability expert. Google alone is now said to consume 20 billion liters of water annually in the US.
04:46
That's a lot of bathtubs. But let's put that in Olympic sized swimming pools. 50 meters long that would be 8000 pools.
04:56
I do know several colleagues at Google and I know that Google is actively trying to do things to mitigate their water footprint.
05:04
Worldwide data center water consumption is increasing drastically and is expected to more than double by 2030.
05:11
In fact following recent protests Google has spoken of a commitment to responsible water use
05:17
and now plans to cool its data center with air instead of water.
05:23
Sounds like a simple solution but it's not.
05:26
Water cools more effectively due to its physical properties.
05:30
Air cooling ultimately requires more energy.
05:34
And environmentally friendly electricity is often not sufficiently available for data centers.
05:40
That's when coal and gas power plants come into play.
05:42
So maybe water cooling after all?
05:45
It is possible or likely that many waterless cooling systems are less energy efficient
05:53
compared to systems that utilize evaporation.
05:56
And as a result you end up just having a higher water footprint upstream at the power generation source
06:03
as opposed to at the data center site itself.
06:06
We've seen this before. In Chile for instance where Google's proposed data center drew public backlash
06:13
over concerns about excessive water use. Santiago's environmental court partially revoked
06:18
the project's approval citing insufficient consideration of groundwater and climate impacts.
06:23
Now Google has to revise its plans and will likely switch to air cooling.
06:28
So why build so many data centers in hot, dry regions with scarce water?
06:34
The main reason for looking for drier areas is both an efficiency reason and an avoidance of corrosion.
06:44
The humidity can't be too high, warns researcher Lorena Jaume-Palassi,
06:48
or the costly equipment will begin to corrode.
06:51
If you use something else than drinkable water to cool,
06:55
if you are using liquid cooling. So this means that you need drinkable water to avoid corrosion
07:02
to cool down your data center and you enrich that water with some sort of chemical stuff.
07:10
So this means you cannot bring back that water into the normal water circuit.
07:15
So conflicts in Chile as well. But what could be done better when choosing locations?
07:20
I will say that my opinion as being somebody who is pushing for minimizing the environmental impact
07:27
of data centers, I would like to see more data centers being built near large bodies of water
07:31
in cooler climates. Let's turn to Northern Europe, specifically Sweden. In Falun, about 200 kilometers
07:38
from Stockholm, there's a remarkable data center pushing the boundaries of design and sustainability.
07:43
It's all about resource use, water, electricity and more. In Falun, there's no shortage of water.
07:51
It's drawn from a nearby lake, treated, stored in tanks and sprayed to cool the system using the
07:56
principle of evaporation. The server rooms themselves are also cooled with water,
08:02
much of which is reused where possible. Large air ducts blow cold air into the server rooms.
08:09
This uses electricity. But here, it's 100% renewable. Sweden relies on hydroelectric power,
08:16
both large and small scale, and wind energy also supports the data center.
08:21
And the processor heat is not just released into the environment.
08:28
Some of the water, of the reused heat, is distributed to a district heating plant just
08:35
as a neighbor of us, where we supply them with heat in their manufacturing of the wooden pellets for furnaces.
08:49
Pierre Wellander is the Falun site manager. The local energy provider is just across the street.
08:55
Pellets are dried and burned in a small plant that supplies district heating.
08:59
Sweden is well suited for data centers. There's plenty of water, wind, and its northern location helps too.
09:09
During winter time, we have cold temperature. We have like 20, normally 20 degrees below zero,
09:16
which gives us free cooling, actually.
09:19
So just let the cold air in. It might not be entirely fair to compare Sweden with Chile or Uruguay,
09:26
but some ideas might still be transferable. Take wood for example. In Sweden it's a sustainable,
09:32
eco-friendly building material that binds carbon dioxide.
09:38
Now we're up to 95% of wood. And we find out that this is the most perfect way of building a computer center.
09:46
Back to the point of community input. Falun faced similar concerns as in Uruguay and Chile.
09:52
And through that whole process, there has been a great focus on having a dialogue with the local
10:01
population. The people of Falun has been offered to pose and ask any kind of question. And of course,
10:13
they've also been answered when asked those questions in a transparent and open way.
10:21
Overall, northern countries offer more pros than cons for data centers,
10:26
even with factors like higher humidity. At 5,427 the US has the most data centers,
10:34
followed by Germany at a distant second. In Latin America, there are relatively few.
10:40
Another one just opened in Memphis, Tennessee, a data center for artificial intelligence.
10:46
City officials see it as the future, but the locals are furious. Especially after learning Elon Musk and
10:53
his chatbot Grok are behind it. Progress, yes, but not at people's expense. It was built in just 122 days,
11:03
and it's still growing. The process and how this business transaction took place was without the
11:14
knowledge of myself and other council members. I found out on the news. Water is life. This is an
11:25
absolutely critical resource that everything needs for survival. Industries do need water for their
11:32
process. Businesses do need water to make their revenue, but that should never be put in front of
11:38
the drinking water needs of residents. People are raising concerns about air and groundwater pollution
11:44
and ignored environmental laws. Gas turbines are running to generate electricity, producing emissions,
11:51
which, they say, didn't initially have the proper permits. Once again, too little information for
11:57
those affected. Perhaps a textbook case of how not to do things. Tech giants face accusations of lacking
12:04
transparency. Amazon, Microsoft and Google are withholding key data on water and electricity use.
12:10
Google also declined our request to visit their site in Uruguay. At this point, we cannot facilitate a
12:17
visit to the site nor an interview. Reliable data on electricity and water is scarce. Most of these other
12:25
aspects of water consumption are not being indexed, are not being measured, so it's really very
12:32
intransparent. I have my doubts, yes, because until now what we can only do as researchers is try to
12:40
use open source. We really don't know how much water they really consume. Water consumption is already high
12:49
and projected to double, but data center electricity consumption will also increase by 128 percent by 2030.
12:57
We don't know how chip performance will evolve. Will efficiency gains keep up with ever increasing demands?
13:04
The Chinese AI chatbot DeepSeq made headlines for needing less computing power to generate responses.
13:12
It reportedly uses far less energy than comparable models from OpenAI, Microsoft or Google. Perhaps
13:20
future electricity and water demands won't be as high as predicted. Amazon, Microsoft and Google say their
13:27
goal is to be water positive by 2030, meaning they'll provide more water than they use. The tech giants have
13:35
a clear interest in being efficient and saving energy, but how water positivity will work and whether it's
13:41
achievable remains unclear and controversial. High water and energy use, that's likely the price of progress,
13:50
but the environment bears the cost. Small steps can help reduce the computing load,
13:55
making less resource-intensive videos, using a calculator instead of AI for simple math,
14:01
or just using a search engine instead of asking AI.
14:07
Data centers are coming, but people want to know what that means for them. Environmental protection
14:12
and data production still don't go hand in hand. What's more important to you? Unlimited progress or
14:19
the sustainable use of resources? Let us know in the comments.
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