That nvidia one is probably impossible to pin down, since it is really just a big ouroboros investment human centipede eating its own revenue out of all the other asses.
this post was submitted on 26 May 2026
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For hardware manufacturers like Nvidia: Massively.
Yeah, companies are making money from AI, but AI isn't making money... Yet
They're the ones selling shovels during the gold rush
not really, they are not getting paid cash, just stakes in AI companies.
As noted in the post
This, and https://www.web3isgoinggreat.com/ give me real hope for our Internet to come back someday.
Oh that's fun!
I'll never understand how devs get so confident in their product that they will provoke hackers/attackers. I wouldn't even have that level of confidence even after an independent audit lmao
Edit: also what kind of dumbass makes an April fools joke about their own product being compromised. Amateur shit.
It's like people sending their locks to Lock Picking Lawyer hoping for cheap advertising.
Assumedly Nvidia is just dumping all its profits back into these companies
I really thought today would be the day guys
I guess I just need to invest more into AI. What if we took the funding for hospitals and converted them into diesel generators to power more chips bought for well above cost?
Can we feed small children into the diesel generators?
I think that would cannibalize labour from the coal mines.
We could do the elderly though.
with ~~block chain~~ AI all things are possible
HypnoDrones released, currency now irrelevant
They barely have launched anything and they are already enshitifying their offerings. I think this says what everyone is thinking. No, they are nowhere near profitable and large scale deployment may not be profitable for a long time.
It took AWS nine years to become profitable. It appears that AI may take a decade or more. How they plan on surviving when they are already taking away features and putting hard limits on usage is anybody's guess.
Not just that… I’m suspicious that some of them are already implementing inference inefficiencies because they profit more from inference. So if you can make someone’s question consume more tokens, you earn more income per query.
Edit: found example conversation here https://github.com/openai/codex/issues/14593#issuecomment-4523777147
AWS wasn't profitable because they were reiinvesting all their revenue back into growing the service. If they chose to stop growing, they could have been profitable at any point.
AI as an industry is actively, violently unprofitable. They can't even afford to keep the lights on without torching investor money. The more they grow, the faster they lose money.
I think they're hoping AI will eventually get smart enough to make itself do stuff. Sorta like a fusion reactor: you get it jump started with billions of taxpayer money, and eventually it will start spitting out hundred dollar bills!
- Step 1: Destroy the environment with millions of unnecessary datacenters.
- Step 2: ???
- Step 3: Profit!
Step 2: after the bubble pops buy everything for pennies on the dollar. repurpose AI and datacenters for extremely invasive surveillance network and sell data and services to totalitarian governments
Dude, just buy a printer! /j
The only thing about AI that interests me is when are we going to make it go away?
It's not going anywhere, unfortunately.
It is, you're right but that's as long as those that are in charge of spreading this virus are alive.
Worry not, massive layoffs coming to the rescue of those balance sheets.
It doesn’t need to be profitable so long as the government contracts for surveillance of the entire world population fund AI.
IT WAS NEVER GOING TO BE FOR THE MASSES TO IMPROVE THEMSELVES. THEY COULD GIVE A SHIT LESS ABOUT YOU AND ME.
Yeah, 3,000 data centers aren’t being built in the U.S. to generate profits from slop. They’re infrastructure for the digital cage.
For the scammers,, yes. Not for anyone else.
"AI: The New and Improved Snake Oil. Will cure what ails you. Trust me."
This seems somewhat misleading. Lots of products take a lot of investment in them for many years before they reach profitability. The Boeing 787 Dreamliner, for example, was in development for 7 years and another three years after that before it was profitable. The Falcon 9 rocket took 13 years to develop and now it's the most profitable satellite launcher around. The Dyson bag-free cyclonic vacuum cleaner took 15 years to develop.
Most of this AI stuff has only been in heavy development since ChatGPT burst upon the scene in 2023. It's not unreasonable to see the industry still heavily into the investment and development side of things.
Building a jet doesn't require over a trillion dollars of capex, and selling jets is profitable. There's solid evidence that inference isn't profitable, and the AI labs need inference to be extremely profitable if they're going to meet their absolutely ludicrous contractual performance targets. Oracle is expecting hundreds of billions of dollars from OpenAI by like 2030. That shit is not happening.
Whether inference is profitable or not is not a global yes/no question. It depends heavily on the circumstances, what you're using it for and what you're charging for it. A lot of the money being invested in research right now is going into making inference cheaper, which would of course make it more profitable to sell at current price points. Or just run it yourself, local models are getting quite capable these days.
I wouldn't bet on any specific company being the ones to survive this, especially not first-movers like OpenAI. More likely they'll spend their money blazing the trail and the ones to profit from it will be the ones who followed along behind. When a company goes bankrupt it doesn't poof out of existence, its assets get sold off at pennies on the dollar and then whoever bought those assets gets a chance at running them without the overhead of the previous company's debt.
That's true but the pricing doesn't match the expense by a long shot. The question is - what is going to give out first? Capital, or the all-you-can-eat pricing? (and yes the latter is closing as we speak)
The Dyson bag-free cyclonic vacuum cleaner took 15 years to develop.
Ya know those are overpriced shit, right?
The Boeing 787 Dreamliner, for example, was in development for 7 years and another three years after that before it was profitable.
Ya know those are overpriced shit, right?
Ya know those are overpriced shit, right?
Ya know that's irrelevant to the point being made, right?
Whatever you may personally think about those products they're very profitable now.
Very difficult project to track data for. Major difficulty is that capex budgets are like share buyback budgets. Implementation speed subject to change. It's hard to measure revenue/profitability because AI credits tend to be bonus perks for enterprise customers, and in Meta's case they use it for better brainwashing/ad revenue.
The best way to measure Bubbliciousness is trends in spot GPU rentals. Nvidia has been selling more datacenter GPUs than datacenters completion for over 1 year. Those GPUs filter down to tier 2 providers because they cost $1.30 to $2.70 per hour to just sit in a warehouse. Anthropic's deal to replace grok at Colossus 1 has significantly reduced tier 2 provider usage, and those spot rates have collapsed below their runcosts. https://lemmy.ca/comment/23443450