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Exclusive: I have seen OpenAI's audited financials for 2024 and 2025. In 2025, OpenAI had $13.07 billion in revenue and $34 billion in costs. $867 million of its revenue came from SoftBank, and $303 million came from Microsoft. www.wheresyoured.at/exclusive-op...

wheresyoured.atExclusive: OpenAI Losses Increased Nearly 8X in 2025, With Spending Hitting $34 BillionSoundtrack: In Flames - Colony To further support my independent journalism, please subscribe to my premium newsletter. It’s $7 a month or $70 a year. If you’re subscribed to the free newsletter and ...

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I remember like 2 years ago after this ChatGPT thing kicked in that a fellow programmer friend of mine had serious questions of whether the singularity was upon us. Given that I had prior knowledge of how economy is actually scaled I told him to stop thinking too much about it...

... I told him that a) Just the energy and hardware requirements make this practically impossible on this few decades, let alone in the next few years, b) the nature of this tech is more of a race to the bottom for the scarce resources that we have and...

c) there may not even be a market of sorts for this tech, not unless we can actually scale things for the average person, not the average American salary person. Also, it is really telling that one of the excuses used by the private equity and politicians was the CHINA threat, one that...

... either never materialised (other than a few FOSS models) or were never a threat in the first place. Like, these new "models" are good at finding vulnerabilities? Or where the code bases done by lazy, exploited or underfunded, outsourced programmers in the first place? Even before AI rot was...

I think there is a big 'market' for LLMs, actually, albeit not in socially productive uses: slop art/writing, spam, plagiarism, fraud, and what Grok is famous for. But by definition, the kinds of people who always pursue the shortcut or grift will rarely pay hundreds per month. Oh, and some coding.

I mean, we all knew none of these companies are actually making any money. Investors just keep wanting to burn everyone's money on 'vibes' instead of actually, you know, doing legally obligated due diligence. They'll be sued into the ground and sent to jail when the house of cards falls.

Reading the article, does that mean that OpenAI has a gross margin on inference of around 40%? I know this doesn’t say *much* as there are absolutely bonkers costs elsewhere and opportunities for financial engineering, but doesn’t it go against your message of inference not being profitable?

"At the end of the year, OpenAI had just over $50 billion in assets, with almost half of that in cash." It is a profound failure of our legal system and regulations that that 25 billion in cash is not immediately seized and redistributed to everyone OpenAI has stolen from.

You don't understand they are just like Amazon they will catch up soon and hyper scale. Cost effective enterprise compute and web services are exactly the same and important as a chat bot that tells me to kill myself

the funniest thing about this post is that, even read straight, the economics are obviously backwards to anyone paying half a lick of attention

thought agent jabsco 🏁@alt.gov.jabsco.xxx.irs.crs.icp.war.hq.69.mkv.part.parody.fda.info.fbi.cia.fyi

the world is not ready for how little competitive edge any company is going to have in the language model space for any meaningful length of time, it's IBM PC compatibles all over again

I literally had someone pull a "but Amazon wasn't profitable for years" on me just last week (followed by a reference to Pets.com, so I guess that's some kind of booster bingo?). 🙄

The inviability of general purpose LLMs hosted by mega corps is obvious, but I'm curious about your thoughts on locally run specialized open source models. I have my existing ethical qualms with LLMs, but do you think this sort of thing could be economically feasible for a company of 1-2 people?

You know that if you keep this up you're going to have to practice for testifying to Congress, right? I feel like once the fit hits the shan you'll be in high demand at the legislative level.

So, if they 3x their prices, and they had a moat, and no customer reduced their LLM use despite the 3x in cost, they could make a profit? That at least provides a bit of a ballpark for how subsidised this is. And I assume a lot of people currently on 200 per month wouldn't want to pay 600.

Oh no, it's not as low as that, you'd need to 4x prices. "the net loss attributable to OpenAI in 2025 was $38.5 billion" vs "Revenue: $13.07 billion" you need to get an *additional* 38.5 in revenue to break even which is triple of the existing revenue so that's 4x. 1/2

But also you can't just quadruple subscriptions because OpenClaw & friends only came out very late 2025 and those burn tokens in amounts not seen before so the subscription model is no longer sustainable at all and you need to go with usage based billing but then you need to answer ROI... 2/2

Anecdotal, but the vibe on Reddit suggests to me that ChatGPT is quickly falling out of favour with enthusiasts. In fact I’ve seen a lot of people using the Chinese models much more.

The frontier models are all close enough that which you pick doesn't *really* matter for the vast majority of use-cases. Which is why it's crazy to invest a small-countries GDP into R&D every year to try and keep up. There's no moat.

God, that’s a depressing list. And here I am still playing Threes and Good Sudoku every day…

I was reading the numbers, and their Marketing costs seemed astronomically inflated. Then I remembered something.. 2024 and especially 2025 saw a bunch of stuff like this.. "strategic partnerships" there was one with Wikipedia too if I recall.. (Buying out massmedia outlets)

Is there any chance these $17.87 billion are revenue backstop payments, accounted in this fucky manner because it would completely destroy the "insatiable AI demand" myth?

I suspect they are misclassifying some opex as R&D. Makes the gross margins look better and it might also trigger the R&D tax credit although it's gonna take forever to work off the carryforward if ever.

Hope we get some more sense of what that R&D at $19 Billion is really being spent on. Likewise over $5 billion on marketing. Both figures feel a little 'creative' to put it mildly.

All I know is whenever I call and get an AI Babe in customer service I either never get an answer or it takes so goddamn long to get to someone who does have an answer! Or I get told by AI Babe saying that they have very few customer people working so "email us" for an answer in 24 to 48 hours. 🤬

at this point my question is like, do i pull my retirement out early before the bubble pops? I'm not enough of a finance-knower to know if the bubble is going to ruin all my my retirement and if it's just worth it to pull it early and wait that out. money is dumb