101–110 of 425 posts
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.
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.
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. O…
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.
Earlier quoted context omitted.
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 -- t…
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/i…
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.
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.
Usually when people compare data center water usage to golf course water usage I feel a lot better about the whole thing.
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. The…
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...
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. O…
Loads of agricultural water usage in the western states is on totally optional stuff like beef and almonds
Earlier quoted context omitted.
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.
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)
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. O…
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.