> Using the prompt, “How much water is likely to evaporate from data centers in California per year, assuming they are all using mostly evaporative cooling?” several free AI websites provided ranges of estimates, below. These AI also can provide ranges and sources for calculation assumptions.
Data centers with closed loop cooling systems are absolutely built all of the time. Total evaporative cooling has the advantage of being more power efficient (and therefor cheaper) - the only reason they bother with total evap is because the water is being offered plentifully and cheap.
People have no reality of how cheaply priced industrial water is in this country. My parents had a cherry orchard and their annual water bill was $100 an acre per year for as much as they wanted. Which is why the water consumption for data centers is only still a fraction of what we lose to evaporation from inefficient spray irrigation.
Comparing water usage of AI to agriculture and cities is a little misleading. The cities' water usage is to keep people alive with basically mandatory things, like hygiene, and drinking. Agricultural water usage is required because we have to eat to live. Don't compare something optional to something mandatory.
Instead, compare AI water usage to that of optional things in a city, such as car washes and water parks. Or compare AI water usage to that of what it would take a human to do a comparable task (what does it take to keep a human alive for a few hours compared to running a 15 minute long task to write a report with AI?). While AI water usage might still not look that bad, it would be a more honest comparison.
Oh, so that's why we're growing alfalfa in the middle of deserts, flooding the fields with excess water so we can keep water rights, and then shipping the alfalfa to China. It's so we can eat!
My wife works with farmers professionally as part of a conservation district and just responded "THIS PERSON KNOWS FARMING" when showing her the discussion. I genuinely have no idea what you guys are talking about but she immediately got heated.
There was massive controversy about that so I don't know how good counterexample it's that. Unless the argument is "we already waste a lot why would you care about wasting more??" Which is not a great argument.
The point of the counterexample is a huge component of US agriculture, massively dwarfing data centers in water use, doesn't serve the core needs proposed by the top comment.
This is an extremely frustrating angle to take because what you're implying is that anytime anyone comes up with any system that takes water they should go in front of a panel of experts (seniors) who get to decide whether their water usage is for an "approvable" purpose. Now I don't like water going to Golf courses either but to me even the intermediate solution is to price water accurately.
Barring that, long term we're surrounded by 70% body of water with infinite energy beaming down on us, this feels like a solvable problem without having large swaths of the country fight over scraps.
A pretty easy 'optional' comparison would be golf course watering. I saw a much more detailed write up on this that I can't find now, but a quick google shows 500 billion gallons a year for US golf courses and 180 billion gallons a year for all data centers, not just AI data centers.
> The cities' water usage is to keep people alive with basically mandatory things, like hygiene, and drinking
Almost half of city water usage is for residential landscape irrigation, mostly spraying lawns, which is not exactly mandatory or a basic necessity. Landscape irrigation uses about 3.5 million acre-feet / year, which is 1 to 2 order of magnitude higher than the estimated AI data center usage.
In the article it lists a data point that beer production in Arizona used more water than the data centers in Arizona. People may vehemently disagree, but we absolutely do not need beer. Would I trade beer for AI? That's an easy choice, AI every time. If you just keep track of the water to keep a person alive and the bare minimum water required for agriculture (which isn't particularly efficient in most cases), it would be a fraction of a fraction of what we use now.
Comparing data centers to the bare minimum isn't particularly interesting, the point being made by the article is that we aren't efficient with our water usage in general, AI is a rather small source of waste in the scheme of things.
Beer has been around for like a thousand years and we haven't decided to get rid of it. We're five years into this fever dream and everyone either literally hates AI or has been driven at least a little crazy by it. It's a pretty darn easy choice for me (and most people I imagine).
We absolutely do not need to waste as much water as we do on agriculture. Their is more efficient watering systems, crops that do not feed humans, and inefficient crops that aren't needed. Any one of those improvements would dwarf the water usage by AI.
Heck, a better solution yet would be to charge these AI/datacenter companies enough to cover the costs for watering efficiency systems to cover their usage and then some. It's a fraction of their costs, and way better than being anti-growth.
But why stop there, and why exclude all food equally? Does somebody living a vegan lifestyle (which typically needs vastly less resources, including water, per calorie of food produced) get to wash their car in exchange for their trouble? What if I take a cold instead of a hot shower; do I then get to wash my bike every once in a while?
A lot of agricultural water usage (more water than AI) is for growing corn to turn into ethanol so we can add it to gasoline. It's not a small amount either, 40% of all corn in the US is used for this purpose.
This is even more misleading. You have to eat to live, but absolutely not all water usage for food is mandatory.
If you gave me a budget of how much water I could "use" water every year, and I was close to going over, I could easily pay for my annual AI use just by changing what I eat for lunch on a day or two. I could pay for years of AI use just by forgoing buying a new pair of jeans.
The water argument has always felt so intellectually dishonest to me because it's never approached from the perspective of "hey, we're using too much water, how can we conserve it?" If we approached it from that perspective, reducing AI usage would not even crack the the top 100 list of things we would do. But that's not the goal of the water argument, because it quite obviously actually has nothing to do with water.
Rice is not a luxury for most people. It’s a staple. It uses ca. 40% of all irrigation water globally. Also cotton is not a luxury, though it also uses quite a bit of irrigation water.
But normally they grow rice where there's abundant water. There's no shortage of water globally, it's just not always where you want it. Like they want water in the middle of the California desert to grow crops.
one of the biggest health problems in US is obesity.
30 to 40% of the food produced in US goes to waste.
Just these two facts will tell you that while, yes, we do need food to live, but on another hand we have an abundance of food and if AI data centers use 0.05% of the water used for humans.
Yes and no. We shouldn't compare datacenter water usage to residential water usage. We should compare it to industrial water usage, as that is what it is. The question like "how does datacenter water cooling compares to concrete factory water cooling?" makes some sense from engineering perspective, as you are comparing oranges to oranges to a degree.
Residential water usage is way too different in way too many ways to be meaningfully compared to industrial usage. The scale is different, the waste water treatment is different, the infrastructure cost is different. The water quality standards are different...
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.
Obviously, there's different options and variables and bla bla bla, but considering how consolidated and highly industrialized and standardized meat production is, this data is very likely close enough to true for the wast majority of beef burgers eaten by the people complaining about AI resource consumption: https://ourworldindata.org/environmental-impacts-of-food
> U.S. specific estimates put beef water use at 317, 441 and 808 gallons per pound of boneless beef when precipitation water is not accounted for in calculations.
So, let's just say around 400 gallons of water per pound of beef if you don't include rainfall use.
I think good faith would request that the source used for these kinds of questions is not one of the VC firms at the root of these questions.
Doubly so when they use such innocuous and authoritative titling as "Our World in Data" which implies some collectivist, community-based outlook that this website is indeed not.
To wit, this page is produced in part by the Global Change Data Lab which is a team of economists, and YCombinator.
I have a few cows and rarely ever give them water. In the winter they get enough from snow and when it’s rainy we have a small pond that forms with a stream. They also prefer either of those to drinking well water from a cattle waterer. They are grass fed and rarely get fed stuff like corn.
For for thousands of pounds of beef, I’ve barely used any water at all. Don’t notice the extra consumption on my well at all, and I have a very low producing spring fed well (1 gallon per minute).
“Vegan” crops on the other hand line corn which are irrigated in many parts of the country use a great deal of water and often very inefficiently so.
Well, I've got a small server rack and roof top solar, therefore data centers don't actually use water.
In other words, bringing up some anecdotal, hyper specific (how many meat eaters just "have a few cows"?) information says absolutely nothing about the truth of the matter, but a lot about what you believe constitutes an argument.
> So much of our public discourse on water and other subjects is choked by chatter, untamed by reasoned evidence, data, and quantification. Today, with AI, we have little excuse for not attempting and using honest estimates to inform our discussions and tame our fears and hopes.
Are these things usually convincing? The general pattern is that people take a position on something and then find one paper with a DOI identifier that backs the position. The Elephant and The Rider and so on. Trying to provide someone with evidence of the falsehood of their claims rarely makes them reconsider and often makes them dig their heels in while they search for a new paper with a DOI identifier.
We're in an unprecedented time in the information age when people can rapidly achieve basic competency at many things using Wikipedia, Google, and LLMs critically. If information availability and search were the constraint, one would expect us to reach greater alignment with facts.
The reality in the way information is used, I believe, is the opposite from what we think of. We believe that if there is sufficient information, we can use it to form an accurate model of reality. In practice, I think the social psychologists are right. For the most part, we form the model of reality and then we seek information that supports it. So if you increase the total amount of information what you do is increase the ability for someone to select out that which supports their model.
That's not to say I don't appreciate these things. It's just that I don't think facts move public opinion very much.
The interesting thing that more information and better search provides is that it accelerates the divide between truth-seekers (who will attempt to find primarily falsifying information) and confirmation-seekers (who will attempt to find primarily supporting information). In general, one can imagine that the former will be more successful at modeling the world ex humanity at least. But if others believe something is true, often a direct approach at their facts is not the best approach to get the outcome.
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?
Because they're taking water from already parched regions, often pumping it out of the ground. Even if the water did come back locally as rain (it doesn't), it still makes it impossible for people to live off the same aquifers and water sources sustainably.
The absolute strongest complaint is that DCs consume treated, potable water, which is less abundant / easily re-created than any old non-potable source. (Of course the easy solution here is DCs just ingest / treat their own non-potable source. Or utilities charge rates sufficient to price in the externality of drawing down more potable water. The economics still work for DCs if they need to treat their own water -- the fundamental problem is that utilities are underpricing their potable water, so DCs prefer it all else being equal.)
Why don’t data centers use gray water more often? Wouldn’t that be better for basically everyone?
My guess is it’s some combination of the infrastructure not existing, the distribution being bad, and the treatment costs not penciling out.
But that feels like the kind of thing municipal utilities could solve with pricing. Potable water should probably be priced differently for residential use than for big commercial/industrial users, in a way that pushes them toward non-potable sources wherever possible.
A fun Texas water fact I always bring up: the entire state’s monthly freshwater use is roughly a week of freshwater inflow into the Chesapeake Bay. Texas would be the 8th-largest GDP in the world if it were a country, and its whole monthly freshwater demand is basically a few months of water that the Chesapeake just dumps into the ocean. (Of course, estuaries make use of the water so it's not just wasted but it's illustrative imo)
Another fun comparison point is yearly Texas uses 0.08% the volume of the Great Lakes in freshwater but ~ 30-50% of the volume of all the lakes in Texas.
We've got a lot of water but it's not distributed evenly and we should probably build some sort of water pipeline eventually so water rich states can sell to water poor states.
Again, this is all just speculation by someone who knows not a damn thing about municipal water management.
Not all of us. I'm totally fine with water pipelines in exchange for long distance transmission lines for solar power and other such infrastructure like gas pipelines from areas that produce stuff we do not.
Export an abundant resource for a scarcer one seems win/win to me. Kind of the point of interstate commerce.
Using 1/4th the entire freshwater inflow into the Chesapeake Bay makes it sound enormous. That's multiple major rivers for a bit over 30 million people.
I live near the Potomac and always figured the region was wet enough that water was not a concern. You have me rethinking that somewhat.
Where does your gasoline come from? Most of that usage is for the massive Exxon/etc facilities we have in Houston/Galveston to refine most of the fuel the entire nation uses.
If only we could do water-intensive activities in areas where water is abundant and then ship the resulting products to where they are needed...
In a far science fiction future, I could e.g. imagine connecting LLM inference data centers to a global data network instead of always having to drive up to them to ask my prompts.
It doesn't come out a little hotter, it gets evaporated in cooling towers. Same result as any other water usage. Cooling towers can't use seawater either. Most datacenters are in places where fresh water is abundant anyway, but some are not.
Anyway agricultural water usage is way worse in California.
The water isn’t gone but if it comes back as rain, it at least has to be cleaned again, since data centers probably don’t use raw rainwater for cooling.
It’s probably still not too bad but there’s at least some work done that’s „used up“ by letting tap water (or probably demineralized water used for cooling) evaporate.
The problem is that data centers use SO MUCH water... sure we humans let water evaporate, but this is a new source of water "waste" to the tune of nearing 2 billion gallons/year, just in Loudon County Virginia & connected water users [0].
When that water source is underground wells, this can take years (on the fast end) or decades (on the moderate end) to get back down. Look at California's water issue -- so many wells extracting water for farming has changed the land topography.
Also, when water 'comes back', it might come back in the ocean and not on land... reducing the available fresh water without desalination.
Data centers need the water to cool... but maybe there's room to find incentives for them to do so while making sure our water bills don't go up like our electric bills are because of the extra load they are putting on utilities.
I have also wondered this and came to a similar conclusion about the politics.
This whole time I've been wondering how it's possible that people don't realize how common evaporative cooling is for much larger buildings that are far more numerous than these data centers, and especially in dry climates where drought is common.
tldr: chip immersion uses less water but is more expensive. Water evaporation is the opposite. Datacenters will use the cheapest they can get away with. Water is scarse; evaporated water is as unavailable as contaminated water. Read the information sources.
> tldr: chip immersion uses less water but is more expensive. Water evaporation is the opposite. Datacenters will use the cheapest they can get away wi
This suggests a simple fix: charge more to the datacenters (not people) for the water, to make the other option competitive.
No need to throw baby with the ... erm, bathwater.
By that argument water use is never a bad thing since all water comes back as rain. The problem is that data centers need to use clean water, which has to be treated. On a local scale, a large data center could starve a community of potable water, even if the state-wide water use is very small.
I’ve seen a tremendous amount of content about AI water usage, mostly from pro AI sources. The most common type is comparing AI to particularly water intensive agriculture.
The result is that now I think water usage should be taken into account when siting data centers. Great Lakes and eastern seaboard fine, maybe not as much in California or Arizona.
While a couple months back an article[1] discussed how Google was keeping the water requirements a secret from locals who wanted transparency, claiming it was proprietary knowledge.
So they sued and discovered it will use 2-8 million gallons of drinking water per day[2], seemingly near the limit of their capacity to handle, judging by comments from officials.
> 'That water supply that otherwise would not be required until 2060 or the 2060s, suddenly becomes something that we need to be worried about during the 2030s.’
> If it exceeds that demand, they’re going to have to start looking for a new water source.
So I'm not sure how this fits with the claims of the article from the OP. I suppose if anything it disproportionately affects certain places not as well equipped for it?
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]
That's populism for ya, and it's sadly extremely effective.
Meanwhile, both China and India are giving free electricity, providing dollar-for-dollar capex subsidizes, and 25 year tax exemptions to build data centers [0][1].
Love how HN wants to strangle the infrastructure that underlies our entire industry and why HNers get paid. It really highlights how much of the opposition to AI comes from the "chattering classes" and other white collar types as is constantly seen in polling [2][3].
It's funny seeing people who are also part of my party but told coal miners and autoworkers to "learn to code", treated blue collar workers derisively, and ignored concerns by employees in manufacturing and skilled trades which led them to shift to the right now act the exact same way.
Edit: can't reply
> AI Datacenters are not how all or probably even most HNers get paid
Most data centers colo multiple types of compute, not just those dedicated to inference or model training. Additonally, strangling the economics of the infrastructure layer makes entire ecosystems move abroad.
You saw similar opposition to semiconductors fabs back in the early 2010s in the US, and the entire ecosystem virtually out within a decade until the CHIPS act was signed and executed on.
Same with nuclear power in Germany and GreenTech in much of the America.
I suspect soon young learners of the future may tilt their heads in curiosity when finding that Obama was a "Democrat" in the same way they did in the past when finding that Lincoln was a "Republican".
Populism is effective because the proverbial rising tide is not lifting all boats. AI is currently driving yet another extreme wealth inequality inflection point. Founded just five years ago, Anthropic is going to be a trillion dollar private company maybe this year! This is a staggering outcome and will further divide the gap between the wealthy and everyone else.
So whether populist outrage is expressed through fears of job losses, higher energy prices or concerns over water usage, IMHO, wealth inequality is the cause.
The economy is down, and the fad is blame AI so that is what everyone is doing. The last downturn there was a different fad that people blamed it on - but the real root cause was always the economy and not the fad.
It’s understandable that people blame AI for economic issues when so may CEOs are publicly stating that “increased efficiencies due to AI” is the reason for laying off staff.
They blamed the latest fad for layoffs in the last one as well.
Every company and project I know of has a long list of things they want to do that they believe would be good for customers - but they cannot afford the people needed, and the risk is too high to borrow. That is if AI was really increasing efficiency in a good economy they would be keeping everyone and getting more work done with them.
Of course in reality we cannot know if AI has really increased efficiency - we only have short term measures at best which we know from experience are often wrong. (most often because there are many ways you can make a shortcut today that will kill your long term)
> Populism is effective because the proverbial rising tide is not lifting all boats
This is naive and shows lack of understanding of second order effects. Technology has been so far one of the only things to lift all boats. The last 100 years almost eliminated extreme poverty, hunger and improved material life for everyone. How? Technology - agricultural, industrial.
Of course AI is going to be a rising tide but there will be a blip where people can lose jobs.
Wealth inequality is just a proxy issue or jealousy. Industrial revolution also increased inequality (just in narrow terms).
> Of course AI is going to be a rising tide but there will be a blip where people can lose jobs.
Can you provide any evidence for the supposed rising tide? So far I've seen nothing that indicates that anyone besides the people directly invested in AI companies will benefit from it. Even the best case scenario right now - software developers becoming more productive - doesn't actually benefit anyone not invested in AI companies.
People losing their jobs (and in many cases, their livelihoods/lives as a result) are also not the only negative effects.
- Boosting existing small businesses and enabling the creation of new small businesses by making previously expensive resources like market research, accounting/legal advice, etc. available for $20/month.
If Anthropic can allow millions of people from all around the world to access these benefits, why shouldn't it be worth a trillion dollars?
Wealth in the modern world is not a zero sum game. Wealth is created, not allocated. The fact that Anthropic is worth a trillion does not prevent you from making money.
Humans have some repeatable bugs in our wetware, and it can be predictably exploited in a way that is hard to correct. It isn't "some people" - it's all of us, and the moment we think we're immune is the moment that we are most easily affected.
Yes, even the smartest of us are idiots in some very predictable ways.
you're arguing against things that have no material effect. "oh won't you think about adversarial discourse about the most well funded industry in recent history"
I’d recommend you read the following report: Proximity to Golf Courses and Risk of Parkinson Disease
Individuals living within water service areas with a golf course had nearly double the odds of PD compared with individuals in water service areas without golf courses…
Did you read the paper carefully? It's about pesticide use. (It's not especially plausible as epidemiological studies go, though I'm unsurprised if a better study finds a firmer correlation between pesticides and PD.)
Did you not read that the effect was directly tied to “Individuals living within water service areas” in my original comment? Yeah no shit it’s pesticides. They’re seeping into the water supply from the golf course runoff.
Compare it to alfalfa and you’ll be laughing your ass off at how much water alfalfa consumes.
~340 acres of alfalfa in California growing year round uses as much water as Google’s data center in The Dalles uses in one year.
That data center used 550M gallons for evaporative cooling in 2025, which is 1687 acre-feet of water.
One acre of alfalfa in California uses ~5 acre-feet of water per acre of alfalfa per year. There are around a million acres of alfalfa grown in California, or 5 million acre-feet of water per year on alfalfa. Which is used to feed cows.
Feed cows in places without the water and sun to grow this stuff locally. Which is tantamount to exporting water from the American West which will eventually be turned into a desert. We effectively can't be trusted to govern our natural resources more than 5 years out.
The data coming from the University of Calgary about the data centres they're building in Alberta, Canada seems to indicate that they're using evaporative cooling, which is very expensive water wise.
The bigger concern though, is the power requirements. Which are set to double or triple the energy use of the entire Province (analogous to a State in the US).
Air pollution, GHG and water use are concerns, but these projects will not dramatically increase the load on the electric grid.
Natural gas is cheap and abundant in Alberta, and the province (actually the whole country, via transfer payments) benefits financially from resource revenues from extracting the gas. So, these projects are generally an easy sell to the public.
One good way to save water is to use treated wastewater for cooling. xAI is building this kind of system in Memphis.[0] It'll connect to a nearby wastewater treatment plant and they'll need to build an additional treatment plant before the water can be used for cooling. It's a closed-loop system inside the data center, where they use clean water, and it connects to open-loop evaporative cooling towers with heat exchangers.
I don't find it weird, it's about what I'd expect from AI sycophants. They don't seem to realize that it comes off as not even being able to defend their own ideas.
I stopped reading at the crappy ChatGPT comic that shows "water usage" as some pipes pouring water and others pumping it in. How trustworthy is the text going to be after that?
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%.
It depends on the river. IIRC the water of the Colorado is stolen 100%, mostly for agriculture. A few years ago I think a small leftover was let, so a tiny part of the river can reach the sea.
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.
A lot o the confusion around data centers is that these companies purposely hide this information from the public. We already know how damaging normal data centers are:
To simplify things, "closed loop" shouldn't even be part of the discussion. They're separate pieces. It's typical to have a closed-loop cooling system somewhere inside, either to directly cool machines (typically ML) or to cool air for air-cooled machines (standard). Either way you need to eject the heat from the coolant to the environment somehow. That's either cooling towers (like swamp cooler, requires water and low humidity), chillers (like A/C, no water but more power), or passive air cooling (like car radiator, only works if cold outside).
So you could have a closed-loop water system cooling your machines or chips, but still be consuming water to cool the coolant.
Only (mostly) water evaporate, salt and most contamination don't, so you get a brine that you must manage because otherwise it clog your heat exchangers and evaporation towers. Also, it must be returner to a river carefully to not kill all fish and life forms there.
1. Tallying the total water consumption impact, embodied water (construction), operational water (cooling), indirect water (electricity generation), supply chain water, etc.
2. Mapping current water intensity onto AI growth forecasts through 2030+
And if you look at those things in combination, there are reasons to be alarmed.
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?
> But AI will bring more important concerns, such as the end of human civilization
Who are these people who think AI will end civilization? Ya'll know it's just autocomplete and deepfakes, right? Maybe they need to read a book about the industrial revolution? It changed the world entirely, but it didn't end it.
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.
If AI used as much water as the public "think"(lets say as much as the hysteria suggests the public thinks) then governments would have raised rates on them and they would have reduced usage...
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.
I ran 8 internal audits against my agent stack end-to-end, to figure out if I was destroying the planet. Turns out it uses 12x less energy over a 10minute snapshot when compared to youtube, instagram, facebook ect.
So tired of these articles. Yes, it’s possible for them to use very little water. But naive comparisons to non-potable agricultural or other irrigation use or comparisons that don’t take into account growth rates of specific uses or local bottlenecks are useless.
Are you saying any industry that brings in net new jobs with above median wages is bad? Or just ones with few employees and high additional property tax revenue?
I'm concerned with the ones that create temporary jobs, few permanent ones, drive up water and electrical rates and then help deskill other industries.
If we could magically guarantee that our [starry-eyes|gullible|treacherous] political leaders didn't give back most of those property taxes before the DC even broke ground...
What a strange thing to say. This is peak NIMBYism and I urge you to reconsider. Loudoun country as an example generates ~1B USD annually [1] from taxes through data centres. That's equivalent to paying an annual salary of $40,000 to around 30k people. That's a LOT.
Do you really not consider taxes before repeating this tired argument?
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.
You can be against lying about water use and for being honest about additional electricity demand at the same time. You can't smear someone for rejecting falsehoods just because you have an unrelated complaint.
I appreciate the data driven approach. The article is spot on, it's really hard to distinguish all the discourse with the reality. Things most people grew up with in the 70s had years of propaganda convincing the public they were a net positive to society.
Sidebar, I'm very curious to see where AI goes. Definitely not on the hype train. More curious than anything. This article was a breath of fresh air.
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.
For perspective, 28 million gallons of water per day is roughly equivalent to what 93,000 households consume per day. There are ~130,000,000 households in the United States.
To be fair to people's objections - agriculture is significantly more important than AI model training when it comes to improving the average standard of living - and to be fair to model training a lot of the water usage in agriculture is used on extremely water inefficient crops.
Water usage is, in my opinion, a fair reason to object to AI datacenter placement and growth - but in the arena of public opinion it's more nuanced than some of the other arguments that could be made (noise and power usage being much more suitable ones) but it seems to have struck a cord.
There are absolutely terrible takes on each side of the water argument but this seems to be the one people are focused on so I guess it's up to folks in the know to try and give as much clarity on the topic as possible.
I’m actually surprised it’s so low. That’s about 7 seconds of the Mississippi River at its exit per day. Maybe a week or two of alfalfa farming per year, or even less?
You could imagine running way more water, but I guess these racks are extremely dense.
> 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.
My conspiracy theory is the whole AI datacenter water consumption outrage is a psyop by state actors to worsen public sentiment around AI, so China and others can catch up. Obviously we should lessen the environmental impact of our technology, while considering it's relative impact vs benefit, especially compared to other technology, in this case in particular to other datacenter usage.
But it's comical to see the average person commenting online, outraged at new datacenters and their water usage (separating this from legitimate zoning issues), when all their posts are in fact being transmitted, stored, and served by relatively similar datacenters.
Is the average person allergic to asking follow-up questions?
Data centers with closed loop cooling systems are absolutely built all of the time. Total evaporative cooling has the advantage of being more power efficient (and therefor cheaper) - the only reason they bother with total evap is because the water is being offered plentifully and cheap.
People have no reality of how cheaply priced industrial water is in this country. My parents had a cherry orchard and their annual water bill was $100 an acre per year for as much as they wanted. Which is why the water consumption for data centers is only still a fraction of what we lose to evaporation from inefficient spray irrigation.
Instead, compare AI water usage to that of optional things in a city, such as car washes and water parks. Or compare AI water usage to that of what it would take a human to do a comparable task (what does it take to keep a human alive for a few hours compared to running a 15 minute long task to write a report with AI?). While AI water usage might still not look that bad, it would be a more honest comparison.
Oh, so that's why we're growing alfalfa in the middle of deserts, flooding the fields with excess water so we can keep water rights, and then shipping the alfalfa to China. It's so we can eat!
This comment could have been someone's hamburger!
Based in Colorado.
Barring that, long term we're surrounded by 70% body of water with infinite energy beaming down on us, this feels like a solvable problem without having large swaths of the country fight over scraps.
Almost half of city water usage is for residential landscape irrigation, mostly spraying lawns, which is not exactly mandatory or a basic necessity. Landscape irrigation uses about 3.5 million acre-feet / year, which is 1 to 2 order of magnitude higher than the estimated AI data center usage.
Comparing data centers to the bare minimum isn't particularly interesting, the point being made by the article is that we aren't efficient with our water usage in general, AI is a rather small source of waste in the scheme of things.
Heck, a better solution yet would be to charge these AI/datacenter companies enough to cover the costs for watering efficiency systems to cover their usage and then some. It's a fraction of their costs, and way better than being anti-growth.
But why stop there, and why exclude all food equally? Does somebody living a vegan lifestyle (which typically needs vastly less resources, including water, per calorie of food produced) get to wash their car in exchange for their trouble? What if I take a cold instead of a hot shower; do I then get to wash my bike every once in a while?
You don't have to eat a burger.
Skip one McDonald's trip per year and you're going to offset all your prompting water waste (see other comments in the thread).
If you gave me a budget of how much water I could "use" water every year, and I was close to going over, I could easily pay for my annual AI use just by changing what I eat for lunch on a day or two. I could pay for years of AI use just by forgoing buying a new pair of jeans.
The water argument has always felt so intellectually dishonest to me because it's never approached from the perspective of "hey, we're using too much water, how can we conserve it?" If we approached it from that perspective, reducing AI usage would not even crack the the top 100 list of things we would do. But that's not the goal of the water argument, because it quite obviously actually has nothing to do with water.
Just these two facts will tell you that while, yes, we do need food to live, but on another hand we have an abundance of food and if AI data centers use 0.05% of the water used for humans.
It's a strawman.
Residential water usage is way too different in way too many ways to be meaningfully compared to industrial usage. The scale is different, the waste water treatment is different, the infrastructure cost is different. The water quality standards are different...
(Not I. I disagree with both)
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.
Also agree there are other ways we should pursue in parallel regarding emissions.
This source says that a 100 prompt spends half a liter of water https://www.eesi.org/articles/view/data-centers-and-water-co...
I remember this year google reported one google search spend a drop of water (or 5 drops, around that)
> U.S. specific estimates put beef water use at 317, 441 and 808 gallons per pound of boneless beef when precipitation water is not accounted for in calculations.
So, let's just say around 400 gallons of water per pound of beef if you don't include rainfall use.
Doubly so when they use such innocuous and authoritative titling as "Our World in Data" which implies some collectivist, community-based outlook that this website is indeed not.
To wit, this page is produced in part by the Global Change Data Lab which is a team of economists, and YCombinator.
For for thousands of pounds of beef, I’ve barely used any water at all. Don’t notice the extra consumption on my well at all, and I have a very low producing spring fed well (1 gallon per minute).
“Vegan” crops on the other hand line corn which are irrigated in many parts of the country use a great deal of water and often very inefficiently so.
In other words, bringing up some anecdotal, hyper specific (how many meat eaters just "have a few cows"?) information says absolutely nothing about the truth of the matter, but a lot about what you believe constitutes an argument.
Are these things usually convincing? The general pattern is that people take a position on something and then find one paper with a DOI identifier that backs the position. The Elephant and The Rider and so on. Trying to provide someone with evidence of the falsehood of their claims rarely makes them reconsider and often makes them dig their heels in while they search for a new paper with a DOI identifier.
We're in an unprecedented time in the information age when people can rapidly achieve basic competency at many things using Wikipedia, Google, and LLMs critically. If information availability and search were the constraint, one would expect us to reach greater alignment with facts.
The reality in the way information is used, I believe, is the opposite from what we think of. We believe that if there is sufficient information, we can use it to form an accurate model of reality. In practice, I think the social psychologists are right. For the most part, we form the model of reality and then we seek information that supports it. So if you increase the total amount of information what you do is increase the ability for someone to select out that which supports their model.
That's not to say I don't appreciate these things. It's just that I don't think facts move public opinion very much.
The interesting thing that more information and better search provides is that it accelerates the divide between truth-seekers (who will attempt to find primarily falsifying information) and confirmation-seekers (who will attempt to find primarily supporting information). In general, one can imagine that the former will be more successful at modeling the world ex humanity at least. But if others believe something is true, often a direct approach at their facts is not the best approach to get the outcome.
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?
My guess is it’s some combination of the infrastructure not existing, the distribution being bad, and the treatment costs not penciling out.
But that feels like the kind of thing municipal utilities could solve with pricing. Potable water should probably be priced differently for residential use than for big commercial/industrial users, in a way that pushes them toward non-potable sources wherever possible.
A fun Texas water fact I always bring up: the entire state’s monthly freshwater use is roughly a week of freshwater inflow into the Chesapeake Bay. Texas would be the 8th-largest GDP in the world if it were a country, and its whole monthly freshwater demand is basically a few months of water that the Chesapeake just dumps into the ocean. (Of course, estuaries make use of the water so it's not just wasted but it's illustrative imo)
Another fun comparison point is yearly Texas uses 0.08% the volume of the Great Lakes in freshwater but ~ 30-50% of the volume of all the lakes in Texas.
We've got a lot of water but it's not distributed evenly and we should probably build some sort of water pipeline eventually so water rich states can sell to water poor states.
Again, this is all just speculation by someone who knows not a damn thing about municipal water management.
Export an abundant resource for a scarcer one seems win/win to me. Kind of the point of interstate commerce.
I live near the Potomac and always figured the region was wet enough that water was not a concern. You have me rethinking that somewhat.
https://www.theguardian.com/global-development/2024/sep/25/m...
https://www.bbc.com/news/articles/cx2ngz7ep1eo
In a far science fiction future, I could e.g. imagine connecting LLM inference data centers to a global data network instead of always having to drive up to them to ask my prompts.
Anyway agricultural water usage is way worse in California.
It’s probably still not too bad but there’s at least some work done that’s „used up“ by letting tap water (or probably demineralized water used for cooling) evaporate.
When that water source is underground wells, this can take years (on the fast end) or decades (on the moderate end) to get back down. Look at California's water issue -- so many wells extracting water for farming has changed the land topography.
Also, when water 'comes back', it might come back in the ocean and not on land... reducing the available fresh water without desalination.
Data centers need the water to cool... but maybe there's room to find incentives for them to do so while making sure our water bills don't go up like our electric bills are because of the extra load they are putting on utilities.
[0]: https://www.theregister.com/2024/08/19/virginia_datacenter_w...
This whole time I've been wondering how it's possible that people don't realize how common evaporative cooling is for much larger buildings that are far more numerous than these data centers, and especially in dry climates where drought is common.
Just like an agriculture, data center puts water to cool chips and ships token to some other reason?
For a pre-chewed eli5 overview, check this: https://www.eesi.org/articles/view/data-centers-and-water-co...
A responsible human must always verify information. I DW as "secondary l" information source. For instance https://www.dw.com/en/why-does-ai-need-so-much-energy/video-...
tldr: chip immersion uses less water but is more expensive. Water evaporation is the opposite. Datacenters will use the cheapest they can get away with. Water is scarse; evaporated water is as unavailable as contaminated water. Read the information sources.
FWIW the comment is just at +2 at the moment, I think it is just at the top of the thread because it is recent and has discussion.
This suggests a simple fix: charge more to the datacenters (not people) for the water, to make the other option competitive.
No need to throw baby with the ... erm, bathwater.
The result is that now I think water usage should be taken into account when siting data centers. Great Lakes and eastern seaboard fine, maybe not as much in California or Arizona.
So they sued and discovered it will use 2-8 million gallons of drinking water per day[2], seemingly near the limit of their capacity to handle, judging by comments from officials.
> 'That water supply that otherwise would not be required until 2060 or the 2060s, suddenly becomes something that we need to be worried about during the 2030s.’
> If it exceeds that demand, they’re going to have to start looking for a new water source.
So I'm not sure how this fits with the claims of the article from the OP. I suppose if anything it disproportionately affects certain places not as well equipped for it?
[1] https://pivot-to-ai.com/2026/03/06/how-much-water-do-the-dat...
[2] https://www.wsls.com/news/local/2026/02/26/google-data-cente...
[0]: https://www.youtube.com/watch?v=MCc-ipWVShY&t=1h5m43s
Meanwhile, both China and India are giving free electricity, providing dollar-for-dollar capex subsidizes, and 25 year tax exemptions to build data centers [0][1].
Love how HN wants to strangle the infrastructure that underlies our entire industry and why HNers get paid. It really highlights how much of the opposition to AI comes from the "chattering classes" and other white collar types as is constantly seen in polling [2][3].
It's funny seeing people who are also part of my party but told coal miners and autoworkers to "learn to code", treated blue collar workers derisively, and ignored concerns by employees in manufacturing and skilled trades which led them to shift to the right now act the exact same way.
Edit: can't reply
> AI Datacenters are not how all or probably even most HNers get paid
Most data centers colo multiple types of compute, not just those dedicated to inference or model training. Additonally, strangling the economics of the infrastructure layer makes entire ecosystems move abroad.
You saw similar opposition to semiconductors fabs back in the early 2010s in the US, and the entire ecosystem virtually out within a decade until the CHIPS act was signed and executed on.
Same with nuclear power in Germany and GreenTech in much of the America.
[0] - https://www.reuters.com/world/asia-pacific/china-offers-tech...
[1] - https://www.reuters.com/world/india/india-gives-20-year-tax-...
[2] - https://www.cnbc.com/amp/2026/02/25/top-earners-are-more-afr...
[3] - https://www.pewresearch.org/social-trends/2023/07/26/which-u...
So whether populist outrage is expressed through fears of job losses, higher energy prices or concerns over water usage, IMHO, wealth inequality is the cause.
Every company and project I know of has a long list of things they want to do that they believe would be good for customers - but they cannot afford the people needed, and the risk is too high to borrow. That is if AI was really increasing efficiency in a good economy they would be keeping everyone and getting more work done with them.
Of course in reality we cannot know if AI has really increased efficiency - we only have short term measures at best which we know from experience are often wrong. (most often because there are many ways you can make a shortcut today that will kill your long term)
This is naive and shows lack of understanding of second order effects. Technology has been so far one of the only things to lift all boats. The last 100 years almost eliminated extreme poverty, hunger and improved material life for everyone. How? Technology - agricultural, industrial.
Of course AI is going to be a rising tide but there will be a blip where people can lose jobs.
Wealth inequality is just a proxy issue or jealousy. Industrial revolution also increased inequality (just in narrow terms).
Can you provide any evidence for the supposed rising tide? So far I've seen nothing that indicates that anyone besides the people directly invested in AI companies will benefit from it. Even the best case scenario right now - software developers becoming more productive - doesn't actually benefit anyone not invested in AI companies.
People losing their jobs (and in many cases, their livelihoods/lives as a result) are also not the only negative effects.
AI is also:
- Boosting existing small businesses and enabling the creation of new small businesses by making previously expensive resources like market research, accounting/legal advice, etc. available for $20/month.
- Helping the world progress towards cheaper healthcare: https://www.vox.com/health/487425/open-ai-chatgpt-diagnosis-...
- Allowing lower income communities to access legal advice that would previously have been prohibitively expensive: https://www.probonoinst.org/2026/02/06/ai-and-technology-hel...
If Anthropic can allow millions of people from all around the world to access these benefits, why shouldn't it be worth a trillion dollars?
Wealth in the modern world is not a zero sum game. Wealth is created, not allocated. The fact that Anthropic is worth a trillion does not prevent you from making money.
Humans have some repeatable bugs in our wetware, and it can be predictably exploited in a way that is hard to correct. It isn't "some people" - it's all of us, and the moment we think we're immune is the moment that we are most easily affected.
Yes, even the smartest of us are idiots in some very predictable ways.
Individuals living within water service areas with a golf course had nearly double the odds of PD compared with individuals in water service areas without golf courses…
https://jamanetwork.com/journals/jamanetworkopen/fullarticle...
Datacenters expel water filled with all kinds of heavy metals and other kinds of toxic sludge. https://www.datacenterknowledge.com/sustainability/4-strateg...
It should be pretty obvious the parallel I’m drawing here. Where’d you get your epidemiology PhD?
~340 acres of alfalfa in California growing year round uses as much water as Google’s data center in The Dalles uses in one year.
That data center used 550M gallons for evaporative cooling in 2025, which is 1687 acre-feet of water.
One acre of alfalfa in California uses ~5 acre-feet of water per acre of alfalfa per year. There are around a million acres of alfalfa grown in California, or 5 million acre-feet of water per year on alfalfa. Which is used to feed cows.
The bigger concern though, is the power requirements. Which are set to double or triple the energy use of the entire Province (analogous to a State in the US).
https://ucalgary.ca/sustainability/mobilizing-alberta/climat...
Air pollution, GHG and water use are concerns, but these projects will not dramatically increase the load on the electric grid.
Natural gas is cheap and abundant in Alberta, and the province (actually the whole country, via transfer payments) benefits financially from resource revenues from extracting the gas. So, these projects are generally an easy sell to the public.
[0] https://www.datacenterdynamics.com/en/news/elon-musk-xai-mem...
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.
https://www.oregonlive.com/silicon-forest/2022/12/the-dalles...
Citizens had to sue their town to force them to give up water usage, something Google was adamant about hiding from the public.
When there is no accountability, trust plummets. There is no reason to trust anything from these corpos or their pro-corpo rags.
That doesn't seem to be an unusual state of affairs at all; it instead seems like a very normal way of doing things.
So you could have a closed-loop water system cooling your machines or chips, but still be consuming water to cool the coolant.
It’s all just a lack of imagination.
https://blog.andymasley.com/p/the-ai-water-issue-is-fake
Discussed here:
https://news.ycombinator.com/item?id=45946966
1. Tallying the total water consumption impact, embodied water (construction), operational water (cooling), indirect water (electricity generation), supply chain water, etc.
2. Mapping current water intensity onto AI growth forecasts through 2030+
And if you look at those things in combination, there are reasons to be alarmed.
This IS the complaint.
Who are these people who think AI will end civilization? Ya'll know it's just autocomplete and deepfakes, right? Maybe they need to read a book about the industrial revolution? It changed the world entirely, but it didn't end it.
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.
https://www.linkedin.com/posts/peterjamesmcgrath_i-ran-8-int...
Ah yes, those invaluable tens of jobs created by DCs....
Do you really not consider taxes before repeating this tired argument?
[1] https://www.loudoun.gov/DocumentCenter/View/219184/General-F...
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.
Sidebar, I'm very curious to see where AI goes. Definitely not on the hype train. More curious than anything. This article was a breath of fresh air.
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...
Very insightful bullet points, ordered lists and grok tables! Articles like this are certainly a net benefit to society
AI uses less water than the public thinks and more water than Anthropic or OpenAI report.
Both sides have dishonest reporting
>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.
Golf courses use nearly 100x more water per day than datacenters, nearly 2b gallons per day. [1]
Residential lawn water usage is ~9b gallons per day. [0]
0 - https://19january2017snapshot.epa.gov/www3/watersense/docs/f...
1 - https://www.usga.org/content/dam/usga/pdf/Water%20Resource%2...
Water usage is, in my opinion, a fair reason to object to AI datacenter placement and growth - but in the arena of public opinion it's more nuanced than some of the other arguments that could be made (noise and power usage being much more suitable ones) but it seems to have struck a cord.
There are absolutely terrible takes on each side of the water argument but this seems to be the one people are focused on so I guess it's up to folks in the know to try and give as much clarity on the topic as possible.
You could imagine running way more water, but I guess these racks are extremely dense.
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.
But it's comical to see the average person commenting online, outraged at new datacenters and their water usage (separating this from legitimate zoning issues), when all their posts are in fact being transmitted, stored, and served by relatively similar datacenters.
Is the average person allergic to asking follow-up questions?