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How AI boom is impacting Latin America and the US
DW (English)
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6 hours ago
Plan for data centers have led to protests in Uruguay, Chile and US. Should server farms be built in already dry regions? What are the alternatives?
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00:00
Plans to construct data centers often meet a lot of pushback.
00:05
As in other parts of the world, Latin America has seen protests.
00:10
In 2023, severe water shortages gripped the country of Uruguay.
00:15
It was the worst drought in 75 years.
00:18
At this particularly dry time, Google showed up.
00:21
They wanted to use 7.6 million liters of water per day, enough for 22,000 people,
00:30
and during a drought, an extreme water crisis.
00:32
Daniel Pena, a scientist and activist in the capital Montevideo,
00:37
says the community wasn't consulted.
00:42
There was no public dialogue and no public hearing.
00:46
The project was classified as category B, considered low to moderate risk.
00:52
As a result, public involvement was minimal.
00:57
Daniel Pena is concerned about the impact of the Google Cloud project
01:02
on the Santa Lucia River, which is important for Montevideo.
01:07
The battle over water has already begun here.
01:10
When there's no clean water from the tap, bottled water is the only option left.
01:15
Data centers, the backbone of AI, need massive computing power.
01:19
Power runs hot and cooling takes huge amounts of water.
01:27
These huge centers are often built in some of the world's driest regions.
01:32
More on that later.
01:35
Google says it's investing more than US$850 million in the Uruguay center.
01:40
This is what the building site looked like in summer 2025.
01:45
Construction in Canelones, which is near Montevideo, has been underway for a year.
01:51
Municipal authorities have welcomed the project.
01:54
We hope that once it's up and running, they can generate synergies that can attract other
02:01
types of industries and activities associated with technological innovation.
02:06
The data center industry's biggest global players are Amazon Web Services or AWS, Microsoft Azure and Google Cloud.
02:19
In many server hubs, most cooling water simply evaporates through towers. It's a standard practice.
02:25
In fact, evaporation is the most efficient way of removing heat. And that's why we, for example,
02:35
we sweat. When we get too hot, that evaporation of our sweat off of our skin is an effective way of
02:41
keeping us cool and keeping us from overheating. Globally, the water consumption of data centers is
02:46
set to double by 2030. After recent protests, Google spoke of a commitment to responsible water use.
02:53
It now plans to cool its data center in Uruguay with air.
02:58
Sounds simple, but it's not. Water cools more effectively.
03:02
Air cooling requires more energy, which often comes from fossil fuel plants.
03:08
It is possible or likely that many waterless cooling systems are less energy efficient
03:16
compared to systems that utilize evaporation. And as a result,
03:21
you end up just having a higher water footprint upstream at the power generation source as opposed
03:27
to at the data center site itself. We've seen this before in Chile, for instance,
03:33
where Google's proposed computing facility also prompted protests over excessive water use.
03:40
Santiago's environmental court partially revoked the project's approval.
03:44
Now Google has to revise its plans and will likely switch to air cooling.
03:51
So why build so many data centers in hot, dry regions with scarce water?
03:57
The main reason for looking for dry areas is both an efficiency reason and an avoidance of corrosion.
04:06
Some experts are calling for these digital facilities to be built in cooler regions for environmental reasons.
04:14
Like here in Sweden. In Faulun, about 200 kilometers from Stockholm, there's no shortage of water.
04:21
And the electricity it uses is 100 percent renewable.
04:30
During wintertime, we have cold temperature. We have like 20, normally 20 degrees below zero,
04:36
which gives us free cooling, actually.
04:40
The Swedish computer center is also built from wood.
04:44
That's a common local resource that locks in carbon.
04:55
Now we're up to 95 percent of wood.
04:57
And we find out that this is the most perfect way of building a computer center.
05:04
In the US, another massive data center recently opened in Memphis, Tennessee.
05:08
Tech multi-billionaire Elon Musk is behind the AI's supercomputer facility, which was completed in just 122 days.
05:18
Unusually fast for a project of this scale.
05:21
Many residents are asking what its arrival will mean for their most vital resource.
05:27
Industries do need water for their process. Businesses do need water to make their revenue.
05:33
But that should never be put in front of the drinking water needs of residents.
05:38
Its electricity comes from methane gas turbines.
05:41
Residents in this predominantly black, marginalized area worry about air and groundwater pollution
05:47
and ignore environmental laws.
05:50
Globally, data center transparency is a big problem.
05:53
Tech giants like Amazon, Microsoft and Google stand accused of failing to disclose
05:58
key data on water and electricity use.
06:01
Google declined our request to visit their site in Uruguay and turned down an interview too.
06:07
Google is a big problem.
06:09
Reliable data is extremely hard to come by.
06:13
Most of these other aspects of water consumption are not being indexed, are not being measured,
06:20
so it's really very intransparent.
06:23
I have my doubts, yes, because until now what we can only do as researchers is try to use open source.
06:32
We really don't know how much water they really consume.
06:36
These tech giants say their goal is to be water positive by 2030, meaning they'll provide
06:42
more water than they use. But they don't say how water positivity will work.
06:48
So what can we do?
06:49
Every one of us can take small steps to ease the computing load.
06:56
For example, use a calculator instead of artificial intelligence for simple maths.
07:02
Stick to a simple search engine instead of asking AI.
07:05
Or make less resource-intensive videos.
07:15
But that alone won't make much of a dent.
07:17
AI use and its data demand is only growing.
07:21
The real challenge is making tech more environmentally sustainable.
07:26
mmm
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