For context, that is more than the annual revenue of all but 3 tech companies in the world (Nvidia, Apple, Google), and about the same as Microsoft.
OpenAI meanwhile is projected to make $20 billion in 2026. So a casual 1300% revenue growth in under 4 years for a company that is already valued in the hundreds of billions.
Must be nice to pull numbers out of one's ass with zero consequence.
Even with the revised numbers, I cannot believe that they’ll have $280bn in revenue by 2030.
[0]: You can tell by the reason the sources are granted anonymity: because the information is private, not because they aren’t authorized to speak on the matter
> After previously boasting $1.4 trillion in infrastructure commitments, OpenAI is now telling investors that it plans to spend $600 billion by 2030.
does the word "commitment" have a different meaning in this context? How do you cut a commitment >50%? OpenAI's partners are making decisions based on the previous commitment because.. OpenAI committed to it. I must be completely wrong because how does this not set off a severe chain reaction?
edit: as others have pointed out, the article is misleading. $1.4T was over 8 years or by 2034. 2030 is halfway to 2034 and $600B is not too far from half of $1.4T.
A trillion here, a trillion there and all the AI companies are also telling us they're planning on wiping out 2/3 of jobs in the next 10 years? Nothing about the economics of the AI boom makes any sense.
I'm not saying it's not possible, but if we wipe out 2/3 of jobs with AI, who is going to be buying *all the stuff*?
Unemployed people aren't much of a demographic, and you can't just say UBI because that doesn't make sense either. You think the billionaires are going to allow themselves to be taxed heavily enough to support UBI just so that there's a market for people to buy stuff from them? That's nonsense.
Not trying to creep anybody out, but I just don't see a stable outcome for a society that doesn't need 2/3 of the population.
Thats a weekly metric on https://openrouter.ai/rankings flagship chatgpt 5.2 model is at #16
PMF is now evolving when competitor models are either smarter or cheaper.
90% chance in 6-12 months spending expectations drop to $0.
If we see a continuation or even a slowdown of the current trend, the technology overhang, lagging productization, and catch up from the slow adoption of AI by businesses probably gets them part of the way there, but I don't know about 1000% growth at this point... Seems kinda like they're banking on another breakthrough no? And if they don't get the breakthrough, the downside risks such as a competitor of some sort destroying their margin can't exactly be ignored...
https://www.cnbc.com/quotes/ORCL
Remember this press conference?
I feel that Sam is saying what investors want to hear, but the coding work it is capable of and how it improved with using the terminal (TerminalBench) in such a short time is something that I'm sure can't be seen by short term revenue projections. I'm sure the other AI companies are having the same speedups, but it's real.
The usual limit is of course the slop output that is not well modularized that makes it hard to do bigger things, and codex is terrible at refactoring into the right direction (it has no taste).
3x YoY growth in revenue is just not hard to imagine with this kinds of models, I think they have to get out with more expensive parallel working agents and higher-than-pro subscriptions, but it is coming I'm sure.
This looks very much like a careful move to deflate the bubble without popping it, but we’ve likely passed that point.
Open source models catch up quickly and eventually even large models could be run locally.
Seeing the same setup in 2008 and now. Enjoy your subsidized $200/month codex because its going to go up in the future.
Both numbers are fictional. No one really expects any of this to be true.
The people who claim to believe this are simply lying.
The great physicist muttered that he "could calculate the motions of the heavenly bodies, but not the madness of the people"
There seems to be a lot of madness happening in the world again as well. A lot of OpenAI claims make no sense except if we consider the world to have gone mad.
The bubbly nature of openAI and just doing whatever they think like doing with 0 regards to anything or everything including financials is a form of madness.
I was reading another comment and actually opened up the Intelligent Investor book to read the quote from there. I highly recommend that book although truth be told that I haven't read more than the first 50-100 pages as I quickly felt like passive investment is a great vehicle personally.
Will it continue to transform the economy radically? Yes.
Will that translate to the model-makers somehow capturing the entire value of the transformed economy? No.
There were a few key moments that revealed this. When OpenAI initially declared "there is no moat," I wasn't sure whether to believe them. GPT 3.5 and 4 were so much better than the competition, it felt like them saying that they had no moat was some sort of attempt to avoid regulation or scrutiny. But then, lo and behold, Claude and Gemini caught up; there really was no moat.
But up until then, while it was clear that there was no moat around OpenAI, it was unclear if there was a moat around big tech. Mistral was meh. Even Meta's were meh. We also had no idea how much these models actually cost to run. It wasn't until the "DeepSeek moment," and especially once these open source models actually started being hosted on third party services, that it became clear that this was actually a competitive landscape.
And as has already been demonstrated, because the interface for all of these models is just plain language, the cost of switching models is basically non-existent.