For example, this article claims: "Every single story you’ve read about the “incredible growth” of these cloud platforms is an embarrassing misread of three companies that are misleading investors that will more than likely be forced in the next year or two to have to restate revenues, cut remaining performance obligations, and admit that they’ve drastically overbuilt capacity. "
In july 2024, Zitron wrote at length about how the economics of OpenAI were likely to collapse in the next 1 to 2 years [1].
It seems like the nearly inevitable collapse of generative AI is always 1 to 2 years away, but it's just the details of the intricate financial argument that change.
> I am hypothesizing that for OpenAI to survive for longer than two years, it will have to (in no particular order):
And listed various things like a technological breakthrough or more fundraising. I would bet he’s right that they’ll fundraise by the end of the year if they can’t IPO and pass the bag to retail investors.
What the AI bulls don’t seem to understand is that AI could be a great technological achievement AND an impending economic collapse because the valuations of these companies are absurd, basically requiring them to fulfill 10% of the country’s GDP within the next couple years. The achievements are impressive but vastly outpaced by the mania.
>What the AI bulls don’t seem to understand is that AI could be a great technological achievement AND an impending economic collapse
This doesn't seem to be Ed Zitron's position, though. He is always minimizing the use cases of AI, and seems to think virtually all of the demand is due to the technology industry manufacturing consent.
One of my clearest memories of the first tech bubble was of a number of people who accurately identified that it WAS a bubble and then predicted it would go pop 12-18 months before it did.
They attracted plenty of scorn and derision for being 80% right from people who were 100% wrong.
Some also lost a bunch of money - short selling really explodes in your face if you time it badly. It's not enough to know that it is a bubble, you have to be able to know when market sentiment will finally turn which is a gigantic gamble.
-- Isaac Newton
I have seen such people - notably Jim Chanos.
But, Zitron was vocal at the time where fawning over AI companies was basically mandatory everywhere else. He was the one bringing in numbers and, well, passion rather then fear when arguing that point.
On security, Brucr Schneier was also calling AI threat claims overblown repeatedly.
Personally I'm of the mindset that the current AI prices are too rich and that AI is very useful. Much like high speed internet in 2000. The prices were too high but the services themselves are great.
He seems to have quite a nuanced take that AI is a big deal but it's tricky to figure who will profit.
https://www.thestreet.com/investing/warren-buffett-alphabet-...
So the ~one guy who doesn't gets around.