In short
Podcast Episode Notes: OpenAI Losing Money Even as Usage Booms, Microsoft Costs Blamed
Podcast Title: Triple Click AI Episode Title: OpenAI Losing Money Even as Usage Booms, Microsoft Costs Blamed Podcast Description: "Triple Click AI" explores technology, entrepreneurship, and innovation, providing engaging discussions and unique perspectives on emerging trends in the tech industry.
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Episode Summary
In this episode, the hosts discuss recent financial leaks regarding OpenAI's revenue and expenses in partnership with Microsoft. Despite a surge in usage and revenue, OpenAI's financial situation raises questions about its business viability, primarily due to high operational costs. The conversation covers significant numbers related to revenue sharing between OpenAI and Microsoft, as well as the implications of OpenAI's spending in the AI sector.
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Key Points and Discussions
Financial Overview
- Revenue Share with Microsoft:
- 2024 revenue share payment to Microsoft: $493.8 million
- Estimated payment for 2023 (first three quarters): $865.8 million
- Projection for total payments in 2023: over $1 billion
- Investment Background:
- Microsoft initially invested $10 billion, with total investments amounting to around $13 billion.
- OpenAI agreed to a 20% revenue share with Microsoft from its revenue.
Cost Analysis
- Revenue and Compute Costs:
- OpenAI's estimated revenue for 2023 is approximately $4.33 billion in the first three quarters, translating to a total of about $5 billion for the year.
- Inference costs (compute used to run AI models) increased from $3.8 billion last year to $8.65 billion in the first nine months of this year.
- Training vs. Inference Costs:
- Training costs are primarily non-cash (credits from Microsoft).
- Inference costs are cash expenditures necessary for servicing requests.
Growth Projections
- Sam Altman's Optimistic Forecast:
- Altman claims OpenAI's revenue will exceed $20 billion in annualized revenue run rate by year-end 2023.
- A projection suggests potential revenue of $100 billion by 2026.
Market Implications
- AI Bubble Concerns:
- OpenAI's operating at a loss raises alarms about potential instability in AI investments and valuations.
- Implications suggest that if OpenAI struggles financially, other companies in the sector likely do as well.
Additional Insights
- The discussion emphasizes the significant role Microsoft plays in OpenAI's operations, particularly through Azure.
- Historical reliance on Microsoft Azure is being diversified with new partnerships involving CoreWeave, Oracle, and AWS.
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Conclusion
The episode highlights the complexities of OpenAI's financial landscape amidst increasing operational costs and ambitious growth projections. With the potential for significant revenue but also considerable spending, the discussion raises critical questions about the sustainability of OpenAI's business model and the broader implications for the AI industry.
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Resources Mentioned
- AI Box: [Visit AI Box](https://aibox.ai)
- YouTube AI Chat Channel: [Jaeden Schafer](https://www.youtube.com/@JaedenSchafer)
- AI Hustle Community: [Join Here](https://www.skool.com/aihustle)
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Privacy Policy
- [Privacy Policy](https://art19.com/privacy)
- [California Privacy Notice](https://art19.com/privacy#do-not-sell-my-info)
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This episode is a must-listen for anyone interested in the financial dynamics of AI companies, the role of major tech players like Microsoft, and the future of the AI industry.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00New leaked documents are showing just how much money OpenAI is paying Microsoft. And the numbers might surprise you. This is after obviously a year of insane deals, rumors of an upcoming IPO from OpenAI. With all of this, there's a lot of financial scrutiny on OpenAI. It's definitely getting intensified. And with all of this, we have recently received some leaked documents that came from tech blogger Ed Zitron. And he gave a little bit of a glimpse into OpenAI's revenue, their financials, and all of that. And specifically, their compute costs, which a lot of people have been looking at, which is an eye-watering number.
0:40So according to his report, he said that in 2024, Microsoft received$493.8 million in revenue share payments from OpenAI. What's interesting is that that was last year, but if you fast forward to this year, that number jumped to$865.8 million. And that's just in the first three quarters of this year. So we have a whole, you know, another third quarter or fourth quarter that hasn't been reported in those numbers yet. And so at something like, you know,$865 million, you can assume it's going to be over a billion dollars that they're going to be paying Microsoft for this year alone. Now, all of this is part of the 20 % revenue share that OpenAI agreed to pay Microsoft as part of their previous investment.
1:28When OpenAI first came out with ChatGPT, they needed a lot of money. It was getting insanely popular. and Microsoft came in and invested$10 billion at the time. They've since invested a little more. So I think total, or actually I think it was prior to that, they'd invested$1 billion and a little bit more. So total, I think Microsoft all in is at$13 billion. And with that, I think especially with that$10 billion that they gave OpenAI, they agreed to a 20 % revenue share. So 20 % of the revenue OpenAI made, they were going to pay to Microsoft. Neither people have also publicly confirmed that percentage of the 20%, by the way, But this has been reported and leaked by a lot of different people.
2:06So this is where things get a little bit more, I guess, tricky. Microsoft already shares revenue with OpenAI. They give them about, and again, it's hard to verify numbers, but from leaked documents, about 20 % of the revenue from Bing and from Azure OpenAI service. Now, these are obviously partnerships that they've made with OpenAI because OpenAI's ChatGPT powers Bing right now. And also we have Bing inside of ChatGPT. So there's kind of like a lot of collaboration between the two companies. And so it's been said that OpenAI is giving 20 % of their revenue because of the big investment back to Microsoft.
2:44And then Microsoft is giving 20 % of revenue from things like Azure OpenAI Service, which is basically using OpenAI on Azure. So companies that go to their Azure or Microsoft's cloud program can do that. also in regards to all of this money that they're making there was a source that was recently talking to crunch or tech crunch about this and they said that these like leaked payments that we see are talking about microsoft's net revenue share not their gross revenue share so basically what that means is that they're not including whatever microsoft paid to open ai for being an azure for their you know open ai royalties for having open ai on their platforms and charging their customers for it.
3:24Microsoft deducts those numbers from its internally reported revenue share numbers, according to the person who leaked some of this info. So what's interesting here is Microsoft never breaks down how much money they're actually making from Bing and Azure OpenAI in their financial statement. So it's pretty hard to get a good estimate on how much they're currently kicking back in all of this. But regardless, all these leaked documents that we see give a pretty clear view into, you know, basically the biggest AI company on the market today, and also one of the biggest private companies, you know, private market companies today that's not public.
4:02And it's not just how much money they're making in revenue, but it's also about how much money they're spending to generate that revenue. It's their compute cost that's also really interesting. Because based off of the really wildly, widely reported 20 % revenue share that everyone talks out between OpenAI and Microsoft, we can basically deduct that OpenAI's revenue was at least$2.5 billion last year. And this year, we can say that it was about$4.33 billion just in the first three quarters of 2025. So it's likely to be more. But I mean, based off of those numbers, that's what we can see. There are some other reports that came out of the information that said that OpenAI's 2024 revenue was about$4 billion and that its revenue from the first half of this year was 4.3 billion.
4:49So we like slightly conflicting, but they're kind of all in the same ballpark. Sam Altman was actually asked about this. And of course, when a CEO is asked about their company, they always want to talk it up and make it seem like it's doing more. When he was asked about their revenue, he said that is quote, well more when he was referring to reports of$13 billion a year. So he was like, Oh, we're doing way more than$13 billion a year. But he doesn't say what it is, of course. He said that by the end of this year, they're going to end it above$20 billion in annualized revenue run rate. So what's interesting here, though, he's not saying how much money they're making.
5:23He's just giving a projection, an annualized revenue run rate is just a projection on what he believes they'll be able to do in the following year, right? So saying like, yeah, we're going to end it. We're making way more money than$13 billion. Yeah, we're going to end the year with, you know, over$20 billion in annualized revenue run rates. Like, okay, well, if all of your plans pan out, all of your growth strategies work, then you could do that. So anyways, I do think that's interesting and worth taking note of. They also, he also says that the company is going to hit$100 billion by 2026 in just two years.
5:56So apparently by the end of the year, they'll be set to be making$20 billion. And in two years, they're going to be set to making$100 billion or they'll be making$100 billion. I don't know if that's actually going to happen but this is what he says um according to zytron who leaked a lot of this stuff and his uh analysis open ai might have well he so he didn't leak it he received the information from the leaker so he said that open ai may have spent about 3.8 billion in inference last year and that they've increased that to 8.65 billion in the first nine months in the first you know, three quarters of this year.
6:33Inference, right, is obviously just the compute used to run and train all these AI models. And, you know, it's basically the compute that they need to generate the responses they're giving to us. And OpenAI has historically almost exclusively used Microsoft Azure for their compute, right? Today, we're seeing a lot of new deals being struck by them. We're seeing CoreWeave, Oracle, they just made a huge one with AWS for like$38 billion over the next seven years. They have one with Google Cloud. So they're making a lot more of these, but historically it's mostly been Microsoft Azure just due to the nature of the$10 billion that Microsoft put in, 13 billion total, but 10 billion right after ChatGPT launched.
7:10And so there's some other reports that put OpenAI's entire compute spend at about$5.6 billion last year, and its cost of revenue at$2.5 billion for the first half of this year. So with all of that being said, there's some sources that are familiar with the matter names not names so take them with a grain of salt but they're talking to tech crunch about all of this um and they said that while open ai's training spend is mostly non-cash right so that means that a lot of it is credits that they're um paying microsoft like microsoft gave them a bunch of credits they're like here's 10 billion dollars but a bunch of this is just credits to spend on microsoft is your for compute that's kind of how the deal went.
7:50And so most of their spend is, you know, kind of these like tokens or credits that Microsoft already gave them. But there is a lot of spend that is largely cash when it comes to inference. So their training spend is tokens, but their inference, right, what they're using to service all of our requests when we're chatting with chat GPT all day long, those are actually cash they got to pay. So while this is not definitely a complete overview of everything happening with OpenAI and all of their finances. I think this gives us a really good idea of the inference costs and also the revenue. And I think the implications of this say that, you know, we're going to hear a lot more people talking about this quote unquote AI bubble.
8:30Because if OpenAI is really still running their models at a loss, that this means this is like a massive deal for the investment world who is spending tons of money on these AI models, the valuations are absolutely insane. But if OpenAI is not running at a profit, that means a lot of other people are not as well. Of course, OpenAI and Microsoft have both declined to comment on this story. But it is really interesting to see where this goes in the future. So thank you so much for tuning into the podcast. If you enjoyed it, I would love for or and if you want to try out any of the models I talked about on the show from OpenAI or other companies, I would love for you to try out my own startup, which is called AIbox.ai.
9:09We have a playground where you can access the top 40 models, text, image, audio, all inside of one chat thread. So you get like 11 labs for audio, a ton of cool image generators. Every major text generator that you're used to, OpenAI, Anthropic, Grok, Google Gemini, all of that stuff, 20 bucks a month, you get access to everything. You don't have to have a ton of subscriptions. So if you wanna check it out, there's a link in the description to AIbox.ai. I hope you have a wonderful rest of your day.
From the publisher
The financial leak shows the cost curve outpacing growth. Microsoft benefits the most. Observers question business viability.
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