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This guy is peddling the same tired “it’s just like the dot com bubble” talking points that you only draw on if you have no real interest in reality. He’s also the guy who wrote the infamous “advice to a poor black kid” blog. Legendary dipshit

The post-dot com bubble story doesn’t work here. Training ai models at scale is only possible with billions of dollars of funding. Ai data centers are not useful for other stuff at any meaningful scale. A data center will be as expensive to finish building or run in ten years as it is today.

The capex is expensive, but so is running AI GPUs. People want this to be “like the dot com bubble” to not think about how big the misallocation of capital is. All of the current demand is from companies that can’t afford to pay without endless VC dollars or people renting compute to resell to them.

One (of many) things that bothers me about these datacenters is you see "projections" from AI companies like "we'll be profitable in 2030!" (although even that is based on magically discovering new technologies.) - but the GPUs that are core to their buildout will be obsolete by then.

Fair points but specific to GPUs; they’ll still have a lot of utility come 2030. They’ve been a niche element (ex., VDI) in data centers for many years now. So beyond LLMs there are/will be use cases *Note, I’m not discussing the sheer volume of the build outs making sense, just GPUs as a processor

True (thus my “niche” point) - but does put a thought in my head… someone might before too long make a nice scrap business buying some of this stuff for pennies on the dollar, warehousing parts, and reselling some of it. Granted there’s an unfathomable amount of “this stuff” (ie, too much)