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hubie [soylentnews.org] writes:

From Cory Doctorow's blog [pluralistic.net]:

Like you, I'm sick to the back teeth of talking about AI. Like you, I keep getting dragged into discussions of AI. Unlike you, I spent the summer writing a book about why I'm sick of writing about AI, which Farrar, Straus and Giroux will publish in 2026.

A week ago, I turned that book into a speech, which I delivered as the annual Nordlander Memorial Lecture at Cornell, where I'm an AD White Professor-at-Large. This was my first-ever speech about AI and I wasn't sure how it would go over, but thankfully, it went great and sparked a lively Q&A. One of those questions came from a young man who said something like "So, you're saying a third of the stock market is tied up in seven AI companies that have no way to become profitable and that this is a bubble that's going to burst and take the whole economy with it?"

I said, "Yes, that's right."

He said, "OK, but what can we do about that?"

So I re-iterated the book's thesis: that the AI bubble is driven by monopolists who've conquered their markets and have no more growth potential, who are desperate to convince investors that they can continue to grow by moving into some other sector, e.g. "pivot to video," crypto, blockchain, NFTs, AI, and now "super-intelligence." Further: the topline growth that AI companies are selling comes from replacing most workers with AI, and re-tasking the surviving workers as AI babysitters ("humans in the loop"), which won't work. Finally: AI cannot do your job, but an AI salesman can 100% convince your boss to fire you and replace you with an AI that can't do your job, and when the bubble bursts, the money-hemorrhaging "foundation models" will be shut off and we'll lose the AI that can't do your job, and you will be long gone, retrained or retired or "discouraged" and out of the labor market, and no one will do your job. AI is the asbestos we are shoveling into the walls of our society and our descendants will be digging it out for generations:

The only thing (I said) that we can do about this is to puncture the AI bubble as soon as possible, to halt this before it progresses any further and to head off the accumulation of social and economic debt. To do that, we have to take aim at the material basis for the AI bubble (creating a growth story by claiming that defective AI can do your job).

"OK," the young man said, "but what can we do about the crash?" He was clearly very worried.

"I don't think there's anything we can do about that. I think it's already locked in. I mean, maybe if we had a different government, they'd fund a jobs guarantee to pull us out of it, but I don't think Trump'll do that, so –"

[...] I firmly believe the (economic) AI apocalypse is coming. These companies are not profitable. They can't be profitable. They keep the lights on by soaking up hundreds of billions of dollars in other people's money and then lighting it on fire. Eventually those other people are going to want to see a return on their investment, and when they don't get it, they will halt the flow of billions of dollars. Anything that can't go on forever eventually stops.

[...] The data-center buildout has genuinely absurd finances – there are data-center companies that are collateralizing their loans by staking their giant Nvidia GPUs as collateral. This is wild: there's pretty much nothing (apart from fresh-caught fish) that loses its value faster than silicon chips. That goes triple for GPUs used in AI data-centers, where it's normal for tens of thousands of chips to burn out over a single, 54-day training run.

That barely scratches the surface of the funny accounting in the AI bubble. Microsoft "invests" in Openai by giving the company free access to its servers. Openai reports this as a ten billion dollar investment, then redeems these "tokens" at Microsoft's data-centers. Microsoft then books this as ten billion in revenue.

That's par for the course in AI, where it's normal for Nvidia to "invest" tens of billions in a data-center company, which then spends that investment buying Nvidia chips. It's the same chunk of money is being energetically passed back and forth between these closely related companies, all of which claim it as investment, as an asset, or as revenue (or all three).

[...] Industry darlings like Coreweave (a middleman that rents out data-centers) are sitting on massive piles of debt, secured by short-term deals with tech companies that run out long before the debts can be repaid. If they can't find a bunch of new clients in a couple short years, they will default and collapse.

[...] Plan for a future where you can buy GPUs for ten cents on the dollar, where there's a buyer's market for hiring skilled applied statisticians, and where there's a ton of extremely promising open source models that have barely been optimized and have vast potential for improvement.

[...] The most important thing about AI isn't its technical capabilities or limitations. The most important thing is the investor story and the ensuing mania that has teed up an economical catastrophe that will harm hundreds of millions or even billions of people. AI isn't going to wake up, become superintelligent and turn you into paperclips – but rich people with AI investor psychosis are almost certainly going to make you much, much poorer.

Original Submission