Corporate America Has Suddenly Decided to Stop Blowing Money on AI
1vuio0pswjnm7
60 points
80 comments
July 25, 2026
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Discussion Highlights (13 comments)
tyleo
We’re at a small startup and we mix models. But mainly just between the major providers. I wouldn’t say it’s as much to avoid spending money as it is to get the maximum benefit out of different capability spectrums.
spiderfarmer
Never spent more than 40 euros per month on the base plans for Claude and OpenAI. And I’m doing 10x the amount of work I did before. As long as my computer isn’t running at night as well, I’m not upgrading.
mbgerring
The only path forward is to get LSD into the water supply at Davos and put on a really scary play about Rokko’s Basilisk for all the money people, or else Sam Altman won’t be able to afford to repair his infinity pool
consumer451
If you sell "AI" maybe, if you sell products that happen to use LLMs to provide services previously not possible, the money still exists in my experience. When I first heard of tokenmaxxing, I thought it had to be a joke. But no, it turned out to be a widespread phenomenon. I still cannot believe that was a thing. What I keep saying in internal meetings is: "I am so glad these people are this bad at deploying these tools." It really leaves the door open for folks like us.
bestouff
Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
paxys
Yet OpenAI and Anthropic combined are somehow making $100B in revenue...
datakan
"Trust me bro" - Wall Street Journal
larrymcp
https://archive.is/osBJs
ck2
how long until the too-big-to-fail bubble bursts so I can buy a hard drive again?
chasd00
I work in a large corp, I thought it was odd to be encouraged to spend as much money as possible regardless of outcome. Like folks down the ladder a few rungs actually had AI use as part of their KPIs. Didn’t matter what they used AI for they just had to use so many tokens per week or their EOY bonus “could be affected”.
blinded
It does take a bit of tokens and some thought to get a workflow that produces output in a way that works for the user. Simple youtube "ai workflows" and you will be inundated with options.
tysilva
Everytually there needs to be a stronger enforcement of "right model for the task". The landscape currently lends itself to flexibility. And people tend to lean on the more costly options expecting a better end result.
1vuio0pswjnm7
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