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c/o Jay Lund, Vice Director, Center for Watershed Engineering Distinguished Professor, Civil and Environmental Engineering
This is a bit of a dead horse, but the magnitude of how off the public is on this continues to amaze me. Pete Buttigieg did a Tulsa town hall a week or so ago where someone cited it taking "10,000 gallons of water just to generate one photo".[0]

[0]: https://www.youtube.com/watch?v=MCc-ipWVShY&t=1h5m43s

one environmental concern down, hundreds to go! keep up guys!
The author uses a measurement I'm not familiar with so I used AI to translate it.

>Using the broader initial AI water use estimate of 32,000 acre-ft/year to 290,000 acre-ft/year

Note : 1 acre-foot is approximately equal to 325,851 gallons.

AI : That estimate converts to approximately 10.4 billion to 94.5 billion gallons per year.

Ya 10 billion gallons of water (low estimate) is totally nothing. Thx for this informative blog post.

28.6 million gallons per day.

As a more complete title...

AI uses less water than the public thinks and more water than Anthropic or OpenAI report.

Both sides have dishonest reporting

If data center water use is such a concern, why not require that data centers invest in closed-loop cooling systems? By closed-loop, I'm talking about re-condensing evaporated water and allowing the water to cool. Cooling the water would be more expensive in hotter environments, but still achievable. These data centers seem to have wild amounts of money for investment, why not just mandate conservation requirements?
We should just charge a fair price for water. Something that covers capital, operating, and decommissioning costs. No need to pass specific regulations or add legal complexity. It would solve itself. Imagine any other service saying "Oh no, we have too much demand, we need to make it illegal." Just put out bonds, and build up capacity.
A lot of confusion around AI water usage might stem from whether it's an open-loop or a closed-loop cooling system.

e.g. an open-loop system which disposes of waste heat through evaporation is naturally going to draw a lot more water than a closed-loop system which recycles the water. Open-loop is likely cheaper to build, and importantly, it _does_ use up a lot of water that could otherwise be going to a municipality.

So, what's the actual breakdown between these two? I absolutely _could_ imagine many datacenter operators cheaping out and using open loop cooling, particularly if building next to a source of fresh water like a river.

Usually when people compare data center water usage to golf course water usage I feel a lot better about the whole thing.
Would it surprise you to find out that there are many people who are opposed to golf courses for the same reasons?
You can go millions of prompts before you use up as much water as it took to make a single beef burger.

You can go tens of thousands of prompts to match the C02 emissions.

There are many legitimate concerns around AI. Water use/CO2 emissions isn’t currently one of them. Going vegan will make up your AI water consumption/CO2 Emissions many thousands of times over.

Ok great let's get rid of non-renewable powered AI _and_ stop eating animals.
How many gallons of water are you assuming are in that burger patty? Because, while cows do drink water that falls from the sky and lands on fields where it was going to land anyway, they also urinate most of it back out.

Very little water that would have been used for any other purpose, or isn’t naturally returned to the water cycle, ends up being consumed in the production of the burger patty.

To be clear I think your point about AI not consuming all that much water relative to other things is valid, but comparing it to the water consumed by eating meat weakens your point for anyone that hasn’t bought into the bunk “cows are driving climate change” narrative.

Does it use more than zero? Then I hate it. Maybe we should try to calculate how much water online advertisements take.
What they don’t mention is that the water is being polluted by the datacenters. It’s not as simple as “water go into datacenter, water come out of datacenter”

Data centers can inadvertently pollute water through chemical runoff from evaporative cooling systems, including biocides, corrosion inhibitors, and heavy metals that accumulate at scale when facilities discharge up to 5 million gallons daily.

https://www.datacenterknowledge.com/sustainability/4-strateg...

Upvoted. What makes me sad is that I had to read hundreds of comments on all kinds of arguments until you pointed to the contamination issue. Not that the AI statistics in the AI thread submitted helped critical investigation.
This is an AI generated article, with AI generated images, claiming that AI isn't a resource problem.
I often get side tracked into commenting on regular social media like Instagram and I'm somehow surprised over and over how poor critical thinking skills in the greater population. The zeitgeist of US politics is "this doesn't directly benefit me so this must be bad". According to the Instagram demographic, ALL industrial uses of water and electricity are bad because they "compete" with household use. The massive Agricultural industrial complex is actually OK because I like meat, almonds, etc. AI is bad because it doesn't make my job easier.

Even among the more "globally conscious", there's a severe misunderstanding of how much industry, factories, and overall "consumption" it takes to feed the Western - especially American - way of life. If running data centers can actually sustain the next 10-15 years of ~2% GDP growth, that's literally an economic miracle. An industry that takes in water & electricity yet produces no long term pollutants is literally the closest you can get to money growing on trees.

What other industry in history of the US's economic development has been this clean? I can't think of any. I'm surprised more data centers are not just built in Mexico or other countries that would support rather than oppose/block their development.

Greater than $0 in cost of living increases for people living near these things is too much.
The bigger concern is more around the pollution of the gas turbines. Populations around the DC are going to see higher rates of Asthma, Respiratory diseases, Heart problems, and certain cancers.
Look over here! Not over there at grid infrastructure and generating capacity, or noise and pollution from on-site generators.

The scale of electricity use in data centers is much more likely to cause disruption and the shifting of costs onto residential customers to pay for a new infrastructure and generating capacity.

> Jay Lund is an Emeritus Distinguished Professor of Civil and Environmental Engineering and Geography at the University of California – Davis. He is also a Vice Director of the Center for Watershed Sciences

And the main evidence he presents is a summary of a prompt he gave to LLM's? Be serious, please. This is challenging my suspension of disbelief a bit.

I don’t really get the water concerns in datacenter cooling. Even if a lot of water was used for cooling with every prompt (which he argues against here, but, even if)… water “used up” by cooling just comes out a little hotter, right? Maybe evaporated. Then it’ll come back in the form of rain. This isn’t an industrial chemistry process that leaves some toxic waste in the water. Or an agricultural one that puts water in plants and then ships it off to some other region. It just becomes another path through the water cycle.

I actually don’t get how this can be a real thing that people are worried about. Is there some astroturfing behind this? Maybe an attempt to make environmentalists and AI skeptics look stupid?

For many places that could be the reality, however many data centers aren't pulling surface water for cooling even if it is available, they are pulling it from underground aquifers that can take hundreds of years or more to refill, but could be drained in just a few decades if enough water is pumped out. This is doubly problematic for desert climates that generally have even lower aquifer replenishment rates, with a few areas being questionable to draw from even using efficient underground irrigation lines growing human edible foods.
Asking chatbots for estimates of water usage and then taking their average is a great way to alienate your audience. It's embarrassing, as well.
As my friends in Agriculture like to point out, most of the water isn't used at all, it goes right on down the river to the ocean. Ag is second, but less than 50%.
The Empire of AI book seriously did permanent damage on this talking point.