More and more mainstream analysts are identifying the coming AI crash, which is a good indication that it will happen soon.

So, what happens to all the data centers? They are already built but probably very expensive to maintain. Will many of them just be abandoned? Bought up by cloud computing companies? Scammers? Crypto miners? Can they be parted out and sold off piecemeal?

Will they be put to some productive use, or just become massive e-waste sites left to the locals to deal with?

  • FlashMobOfOne@lemmy.world
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    57 minutes ago

    After 2008 whole half-built neighborhoods were just left to rot and abandoned.

    That’ll happen with data centers too.

    • Burninator05@lemmy.world
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      3 hours ago

      I think thats wishful thinking. I don’t think that most of what goes in a modern datacenter has much use outside of a datacenter.

  • zxqwas@lemmy.world
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    2 hours ago

    Cheap datacenters for sale to the surviving AI companies. It’s not like all things AI will disappear just because the bubble pops.

  • venusaur@lemmy.world
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    3 hours ago

    If companies can’t afford the data centers they’ll probably be sold off. An AI crash doesn’t mean LLMs and AI goes away. While the pricing model may not be working for many, the underlying tech is for many customers big and small. Models will have to get more efficient, but in line with Jevons Paradox, use will continue to grow. Maybe a pause in growth, but I don’t see a graveyard of data centers unless some major shift in regulation.

  • Lovable Sidekick@lemmy.world
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    4 hours ago

    An era of cheap used hardware? I would guess probably like whatever happened after the dotcom bubble in the late 90s.

    • gedaliyah@lemmy.worldOP
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      4 hours ago

      Did the dotcom bubble result in billions of dollars of physical infrastructure in this way? Genuinely asking.

      • GamingChairModel@lemmy.world
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        42 minutes ago

        Yes. But major differences:

        The dot com buildout of physical communications infrastructure involved basically 3 things:

        1. Switches/routers at the nodes for sending signals down the right route.
        2. Fiber optic cables connecting the nodes.
        3. Legal rights of way and easements for the legal right to keep the physical assets in that physical place, and to maintain/replace the stuff as needed.

        Category number 1? That stuff went obsolete quickly, and wasn’t really reused after the crash.

        Category number 2 was better. Turns out, fiber optics can carry signals on a lot more channels than those fibers were originally designed for. And they’re designed for useful lives measured in decades. So even if they sat dark from being unused for 5-10 years, eventually they could be used again.

        Category 3 is super important. That legal right is basically permanent, and so long as communications equipment needs to physically go from one place to another, having that legal right can be built on and profited on (including the ability to sell or lease those rights).

        What’s that gonna look like for the AI infrastructure? The servers full of GPUs are the bulk of the cost, and the GPUs are replaced with a new generation every 1-2 years, seem to require all new power and cooling infrastructure every 1-2 generations or so.

        Plus the AI buildout looks to be several trillion dollars. Even adjusting for inflation, that’s so much more than the tens of billions that each telecom company built out that infrastructure.

        And it’s hard to see how the servers themselves will be useful for regular businesses, much less consumers. A Blackwell 72-GPU server is $3 million and takes 130 kW to run. A residential electrical line maxes out at about 48kW. The newest Vera Rubin servers are projected to be up to 600kW, with all the power and cooling management that comes with that, plus all the ultra high end networking stuff built into that rack. Even deep pocketed businesses will have trouble finding a use for that server rack worth millions, requiring a ton of supporting infrastructure that not even normal pre-2025 data centers have.

      • Flatfire@lemmy.ca
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        3 hours ago

        Yes, in ways that were actually greatly beneficial. Some companies were complete vaporware, but it proved a huge boom for fibre optic infrastructure and on the whole, building out modern telecom infrastructure. In a few short years, people went from dialup and T1 connections to DSL and high-speed cable. People weren’t connected, and now they suddenly needed to be. It was an entirely new enterprise.

        Unfortunately, these AI datacenters aren’t really the same. They’re not benefitting the public in a lasting sense. These are hot, they’re loud, and they’re expensive. The biggest benefits you may see from them after the bubble bursts is the infrastructure that was required to sustain them.

        Improvements to sustainable, and cleaner energy sources are probably the biggest benefits. Reclaiming and rebuilding old nuclear plants, increased solar and wind projects. Governments that are willing to sell their constituents down a river for the business of a tech conglomerate won’t benefit from this, but for the states that are now passing legislation to require these kinds companies to put their money into the communities they want to operate in may build lasting improvements.

        It’s a small silver lining, but it’s there. That said, I can only imagine that when these companies see their business begin to get buried under the landslide of debt and reality that they will do everything in their power to escape liability for the waste of resources.

      • Lovable Sidekick@lemmy.world
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        4 hours ago

        I don’t know specifically, but there were thousands of startups that used computers, so when they went belly up one would assume they liquidated their assets. /edit: checking, yes according to google it did result in billions in liquidated or abandoned computer hardware.

  • bridgeenjoyer@sh.itjust.works
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    9 hours ago

    Survielllance centers for all the data being stolen off your smartphone and flock cameras.

    If anyone thinks I’m wrong, they’re completely blind to what’s going on and their future plan.

    • leadore@lemmy.world
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      Survielllance centers for all the data being stolen off your smartphone and flock cameras.

      Yes, and other sources. That’s my theory as to why most of them are being built in the first place, regardless of AI.

      • bridgeenjoyer@sh.itjust.works
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        3 hours ago

        I dont believe its a theory. Its absolute fact. Why else would they be requiring cameras in all cars next year, and putting flock cameras all over every city? That surveillance data needs to be stored and sorted through. This is the real reason for the massive push of data centers and bribery of politicians.

        • leadore@lemmy.world
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          2 hours ago

          Yes, they’ve been wanting to do it for many years, even before 9/11 but especially after (remember “Total Information Awareness”?–back then the backlash stopped them, but now the populace has been mostly tamed and made compliant). So now with AI/LLM they have not only the perfect cover to build the datacenters but also the means to process all that data–never mind hallucinations, they’re fine with that too.

    • pinball_wizard@lemmy.zip
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      8 hours ago

      If anyone thinks I’m wrong, they’re completely blind to what’s going on and their future plan.

      But the hallucination problem means that everyone will end up with a meaningless list of AI hallucinated “prior offenses” that could be used to arrest, detain and disappear literally anyone, based on mismatched unaudited surveillance footage of completely different people.

      I’m thankful that no powerful persons today want a world where they can do that to anyone they find inconvenient.

      It would be genuinely alarming if we had any total assholes out there with wealth or power or both.

      • tocopherol@lemmy.dbzer0.com
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        3 hours ago

        What the LLMs can do reasonably well though is determine the political leanings of people’s typed messages, so it can sort people into lists of potential dissidents based on their risk to the state, then they can have the human agents do the framing for arrest. The AI is probably terrible at doing that consistently too, but they don’t have the personnel to do it by hand and the false positives still work to instill the fear of it.

  • DFX4509B@lemmy.wtf
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    2 hours ago

    What’s probably gonna happen is a rapid buildout of infrastructure for cloud compute by reusing the datacenters for things like Windows 365 subscriptions.

    There’s gotta be a second ulterior motive besides AI behind these datacenters, and the fact that Win365 even exists could be one such motive.

  • Asafum@lemmy.world
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    11 hours ago

    Apparently the US government is looking to give a massive bailout under the guise of “public partnership” so the public will pay for them and then corporations will get to use them and not pay us more than likely. They’ll be put to use, we’ll pay for them to take our jobs. It’s really the best situation possible…

    /Wrist

  • brucethemoose@lemmy.world
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    9 hours ago

    In past crypto busts, Nvidia bought used datacenter GPUs and threw them away, to keep prices of new cards high.

    They will undoubtedly do this again. Probably AMD/Intel too.

    And “FOMO” style crypto mining sites were just abandoned or repurposed AFAIK.


    But honestly, I don’t know what will happen now. Especially to the “quick and dirty” sites like Meta’s server tents, all the supposedly temporary evaporative cooling/gas generators and such.

    Used server GPUs are still pretty good processors for all sorts of things. I would guess that Nvidia pivots towards robotics and“business virtual reality,” kinda like they’re already pivoting towards more utilitarian LLMs with the Nemotron releases, so maybe the surviving GPUs will get used for that.

  • massive_bereavement@fedia.io
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    11 hours ago

    One thing not mentioned here: Hardware has an expiration date. As hardware improves and becomes more performant, with reduced power consumption and heat generation, older hardware loses its value (I’ve got free servers and switches this way).

    AI data centers have been built anticipating a demand that won’t happen, therefore they are in a market already over saturated, dominated by few and just selling allocation won’t let them cover costs if they are supposed to compete against the big 5.

    I would say that in EU or few other countries where they care about data locality that could help, but chances are some providers won’t get paid, some people will lose their jobs, and taxpayers will give a bailout to the wrong people.

    • redsand@infosec.pub
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      3 hours ago

      It’s actually l worse. The die shinks that help increase speed and density decrease durability. You can’t run lightning between walls a few atoms thick forever.