There's lots of reasons to believe the "hyperscaler" model of AI can never be profitable, and not just because of its gigantic expenditures and negative unit economics (the companies lose money with every new customer and every new use, and they lose more money with each generation of their products):
Pluralistic: Google’s AI pricing plan (21 Jan 2026) – Pluralistic: Daily links from Cory Doctorow
Google is spending a lot on AI, but what's not clear is how Google will make a lot from AI. Or, you know, even break even. Given, you know, that businesses are seeing zero return from AI:
Pluralistic: IP can’t save you from AI (18 Aug 2026) – Pluralistic: Daily links from Cory Doctorow
You don't have to believe that AI "art" is any good (I don't), nor do you have to believe that AI "art" can be any good (I don't) to understand that the reason that the capital markets are putting trillions into AI is that they believe they can fire workers of every kind and replace them with AI:
Pluralistic: “Rights for robots” and the AI slavery fantasy (10 Jul 2026) – Pluralistic: Daily links from Cory Doctorow
While the AI bubble is primarily a material phenomenon (driven by the calculation that bosses are easy marks for a sales pitch that sees them replacing workers with software), there is an inescapable ideological component to it: the desire for a world without people in it:
Pluralistic: When AI prophecy fails (29 Oct 2025) – Pluralistic: Daily links from Cory Doctorow
Amazon made $35 billion in profit last year, so they're celebrating by laying off 14,000 workers (a number they say will rise to 30,000). This is the kind of thing that Wall Street loves, and this layoff comes after a string of pronouncements from Amazon CEO Andy Jassy about how AI is going to let them fire tons of workers.
Pluralistic: AI solipsists and AI cynics (24 Jul 2026) – Pluralistic: Daily links from Cory Doctorow
As a technology, AI isn't exceptional. It's not exceptionally wicked. It's not exceptionally good. Take away the accompanying, galactic-scale stock-swindle, and we'd call AI's applications "plug-ins" and we'd use them and abuse them in the same way that we've used every other technology:
The AI productivity myth is more harmful than you think
Perceived productivity may be up thanks to AI, but there's debt collecting in the shadows.
Agentic AI and the next intelligence explosion
For decades, the artificial intelligence (AI) “singularity” has been heralded as a single, titanic mind bootstrapping itself to godlike intelligence, consolidating all cognition into a cold silicon point. But this vision is almost certainly wrong in its most fundamental assumption. If AI development follows the path of previous major evolutionary transitions or “intelligence explosions,” our current step-change in computational intelligence will be plural, social, and deeply entangled with its forebears (us!).
Pluralistic: LLMs are real, AI is fake (12 Sep 2026) – Pluralistic: Daily links from Cory Doctorow
Once you understand the corporate culture of AI "hyperscalers" consists primarily of everyone cooking their brains by locking themselves in the bathroom, holding flashlights under their chins, and saying "Aaaaaaaaaay Eyeeeeeee" until they wet themselves in terror, a lot of things snap into focus:
Pluralistic: The ordinariness of evil (19 Aug 2026) – Pluralistic: Daily links from Cory Doctorow
Maybe it seems weird that AI bosses won't stop publicly rending their garments about the terrible potential of their products, from the jobspocalypse that will ensue when AI can do our jobs better than us, to the impending moment when the word-guessing programs learn too many words, wake up and turn us all into paperclips.
Thousands of CEOs just admitted AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago | Fortune
In the 1980s, economist Robert Solow made an observation that reminded economists of today’s AI boom: “You can see the computer age everywhere but in the productivity statistics.”
Companies That Replaced Humans With AI Are Realizing Their Mistake
As AI agents have yet to pay for themselves, more and more executives are waking up to the sloppy reality of AI hype.
Pluralistic: Austerity creates fascism (13 Apr 2026) – Pluralistic: Daily links from Cory Doctorow
I'm worried about AI psychosis. Specifically, I'm worried about the psychosis that makes our "capital allocators" spend $1.4T on the money-losingest technology in the history of the human race, in pursuit of a bizarre fantasy that if we teach the word-guessing program enough words, it will take all the jobs. That's some next-level underpants-gnomery:
"AI" is Automated Inequality
Tech bros still dominate the discussions about so-called "AI" with false claims. Even most "AI"-critical researchers spend much of their time meticulously debunking (always only a subset of) claims, leaving vast areas of the economic consequences of "AI" unexplored. (Even the "AI"-evangelist Economi
Thousands of CEOs admit AI had no impact on employment or productivity—and it has economists resurrecting a paradox from 40 years ago | Fortune
In the 1980s, economist Robert Solow made an observation that reminded economists of today’s AI boom: “You can see the computer age everywhere but in the productivity statistics.”
AI is not superhuman
What metaphor should drive the field of AI research?
Your Favorite Science YouTubers Are Wrong About AI, (e.g. SciShow, Kurzgesagt, and Kyle Hill )