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  • It's helpful when journos put things in terms the layman can relate to.

    I had no idea what 13 million gallons of water was until they pointed out it was like when I filled up my olympic swimming pool 20 times. That was a slow summer.

    Given the pressure construed on resources, why not use personal or household usage averages?

    Maybe ~450 people-years doesn't have the same impact as Olympic pools.

  • How much polluted is the water after cooling? Can they not be reused?

    As long as they don’t pollute, I don’t see much a problem with this amount of water usage. And the water doesn’t need to be disinfected either, only cleaned and filtered. So any natural renewable source would do.

  • The concern around data centers looks a lot like a moral panic. They've been around for decades and nobody cared before the backlash against AI. They're like any other industrial building, subject to the same resource constraints and zoning laws. I suspect if the owners of that land built a steel mill, a semiconductor fab, or anything other than a data center with similar power and water requirements, nobody would care.
  • There is sometimes incorrect conflation between what the datacenter is permitted for and what the datacenter actually draws.

    > Many articles about current or future AI data centers report the number in the water permit they apply for as the amount of water they actually use day to day. But this almost never happens. [1]

    This is from the problematic and often wrong but in this case correct Andy Masley. It's not completely clear to me whether this number is observed usage or a theoretical permitted maximum, in which case the actual usage could be even lower. It could be either.

    [1] https://blog.andymasley.com/p/the-ai-water-issue-is-fake?ope...

  • People shouldn't be latching onto side effect costs of AI data centers like water or energy use, it seems like an abstraction layer above the core complaint. If we don't want AI, or LLMs, or data centers that should be the complaint. Once it is abstracted to water use or similar it opens the door for data to show the actual water use is comparatively small.

    Its like arguing about climate change by zeroing in on carbon emissions. The issue people should be raising is wasted energy, over consumption, not knowing "enough", etc. Once the issue is pinned to a single externalized factor the argument lives or dies by that factor.

  • This article seems to focus on one of the less interesting in terms of water usage data centers (for most of us non-locals) because the paper is from Lincoln and that data center is in Lincoln.

    The article's data center used 13 mil gal of water, but as they point out another one used up more than 500 mil gallon.

    Seemingly much better article (pictures, better comparisons): https://flatwaterfreepress.org/data-centers-can-guzzle-serio...

    Apparently Google self-reported the total 700+ million, so the main thing to learn from redacted numbers is how much smaller all the other data centers are compared to the 500 mil gallon one.

    Update: in terms of water usage. Not sure whether 500 mil gallon one is larger or just really water-inefficient. That would be a nice thing for some journalist to research...

    Update 2: it seems that Google uses water-evaporation cooling in regions that they don't consider water-stressed. Here's a not-so-great reference (scroll down if the text-fragment link doesn't work): https://www.axios.com/2026/06/03/google-pushes-water-standar...

  • So, basically, not a meaningful amount of water at all. Credit to the story authors for taking the time to frame what 13MM gallons actually works out to.
  • I lived in a smaller rural town near a Google datacenter. During my career there I had routinely come across some outlandish accusations made about our water/power usage from the locals. But for obvious reasons I could never dispute them. I remember we hired a local who'd grown up in the town and he was "really surprised" when he started to see what we were doing to remain efficient.

    The current data center craze just feels like the same thing but on a bigger scale.

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