Monologue: AI's Compute Demand Story Is A Lie

1 May 2026 · 19 min · 8 chapters

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In short

Ed Zitrom argues the “AI compute demand” narrative is false, claiming hyperscalers and AI labs are burning massive capital without real ROI or profits, and that capacity constraints reflect concentration of compute among OpenAI/Anthropic and subsidized customers, not genuine market-wide demand.

Guest backgrounds

No guests. It’s a host monologue.

Key claims

Big tech is spending over $750B on AI CapEx with no clear profitability; AI revenue disclosures omit details or are “bad numbers.” OpenAI’s inference/training spend is estimated in the tens of billions annually, heavily on Microsoft Azure. OpenAI and Anthropic dominate available GPU capacity; token-based billing changes (e.g., GitHub Copilot) could “kill” subsidized demand.

Notable examples

Microsoft Azure AI revenue run-rate ($37B); OpenAI inference spend estimates; CoreWeave revenue tied to OpenAI; Amazon/Anthropic compute spend assumptions; Microsoft shifting GitHub Copilot to token-based billing; claims about Google refusing to break out AI revenue.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

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The Reality of AI's Financial Performance

2:40 to 4:25

Discussion on the questionable returns of AI investments and companies.

“In fact, all of them seem to be losing money.”

Assessing OpenAI's Spending and Market Impact

4:25 to 6:32

Analysis of OpenAI's financials and its reliance on Microsoft services.

“Microsoft is OpenAI's primary cloud provider, and I estimate that OpenAI represents around 70 % of its AI revenue, if not more, while taking up the majority of its AI infrastructure.”

Amazon's AI Revenue and Capacity Issues

6:32 to 8:40

Exploration of Amazon's AI revenue and its implications for the sector.

“In reality, the reason that there's so little available compute is that the majority of it is taken up by either OpenAI, Anthropic, or Hyperscalers running their own services with the dregs of what's left behind.”

The Myth of AI Demand

8:40 to 10:22

Critique of the narrative surrounding AI demand and its actual market presence.

“Google also refuses to break out its AI revenues, but considering it owns around 13 % of Anthropic, I also think it's fair to assume a large capacity amount goes to them.”

The AI Bubble and Mismanagement

10:22 to 12:20

Discussion on how the AI bubble has led to misallocation of resources.

“But this is the AI bubble where everybody is wrong because once everybody admits what's actually happening, they're going to have to admit they all sounded insane for years.”

The AI Compute Demand Illusion

15:05 to 18:54

Discussing the misleading narratives around AI profits and infrastructure.

“Open AI is, in and of itself, a kind of psychosis generator.”

GitHub Copilot's Future

18:55 to 21:08

Examining the shift in GitHub Copilot and its implications.

“It's just people being like, well, the bad things don't matter.”

The Economic Mismatch of AI

21:09 to 23:28

Analyzing the unsustainable economic practices in the AI industry.

“I truly think that it's going to be like this, if not crazier, until one day when the music suddenly stops.”
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Transcript

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2:15I'm your host, Ed Zitrom.

2:25It's earnings season and a quarterly jaunt through the psychosis of financial analysts that have worked for years to prop up an AI industry with questionable returns, spending now over$750 billion in this year, I believe, on CapEx for, well, no real return on investment. In fact, all of them seem to be losing money. I know, I know, though, some of you are going to say, but these businesses had great quarters, but you'll notice that said quarterly growth does not actually seem to be coming from AI, when you read their results, where they actually share the AI ROIC, return on invested capital. So while Meta and Google refused to actually explain their AI returns, because that would require admitting how bad they were, Microsoft revealed that it had$37 billion in AI revenue run rate, about$3.08 billion a month or so, and Amazon had$15 billion annualized, or around$1.25 billion a month.

3:15Do not be fooled. These are bad numbers. Based on my own reporting, OpenAI spent$3.648 billion on inference in the third quarter of 2025 on Microsoft Azure, or around$14.4 billion on an annualized basis. While I only had half of the fourth quarter numbers, I estimate based on them that OpenAI's annualized spend hit over$18.5 billion, or around$4.6 billion a quarter, by the end of 2025, and that's not accounting for things like Sora 2 or the launch of its codex coding platform. In total, this puts OpenAI at an estimated$13 billion of spend on Azure just on inference in 2025, with billions of dollars more on training models.

3:58Now, Microsoft also accounted for 67 % of CoreWeave's$5.15 billion in 2025 revenue, or around$3.45 billion. And as all of that is used by OpenAI, I really think you need to think very deeply about, well, how much AI demand there really is outside of two very large fail-sons. I'm also confident that CoreWeave's compute is used for training OpenAI's models, as CoreWeave's announcement related to its direct deal with OpenAI specifically said it was contracted, and I quote, to power the training of OpenAI's most advanced next-generation models, and said capacity per semaphore was only available because Microsoft declined to extend its current agreement with CoreWeave to use that compute for OpenAI.

4:42Altogether, that puts OpenAI's spend on Microsoft's services at over$18 billion in 2025, and it's easy to see how that could grow to over$24 billion on an annualized basis in the last quarter, or around $2 billion a month. Microsoft is OpenAI's primary cloud provider, and I estimate that OpenAI represents around 70 % of its AI revenue, if not more, while taking up the majority of its AI infrastructure. Otherwise, Microsoft's 20 million Copilot 365 subscribers likely pay no more than$7 billion a year. I'll get to my feelings about that in a bit. Now, as far as Amazon goes, things get a lot grimmer.

5:19In early April, per Reuters, Andy Jassy, their CEO, admitted that its cloud business's AI revenue run rate was more than$15 billion in the first quarter of 2026, which translates to about$1.25 billion in monthly revenue, or roughly 0.419 % of the $298.3 billion in CapEx Amazon spent so far on the AI bubble, or around 25 % of the$5 billion Amazon just invested in Anthropic last week. I think it's also reasonable to assume that a large part, if not a majority, of that revenue comes from Anthropic. Per my reporting last year, Anthropic spent$518.9 million on Amazon Web Services in September 2025, at a time when it had around$7 billion in annualized revenue, a figure that increased by 500%, if you believe Anthropic, which I don't know if I do, to$30 billion in annualized revenue since, as of April.

6:15$518.9 million is about$6.2 billion in annualized spend, and I think it's fair to assume that its spend will have at least doubled to$12 billion in annualized AI revenue for Amazon, or around 80 % of the AI revenue. I also want to address this continual claim that capacity constraints in AI are proof of some incredible demand. In reality, the reason that there's so little available compute is that the majority of it is taken up by either OpenAI, Anthropic, or Hyperscalers running their own services with the dregs of what's left behind. Think of it like seeing a very very large man on the bus taking up four seats there are absolutely capacity issues on this bus but they're not a result of everybody wanting to ride it now epoch ai who i have had my differences with estimate and i'm using these numbers because there's fuck all out there as far as compute capacity goes they estimate that microsoft had around 2.02 gigawatts of compute capacity available at the end of 2025 a time when open ai said it had access to around 1.9 gigawatts compute.

7:19As Microsoft is OpenAI's primary cloud provider, and Oracle had yet to stand up more than 100 megawatts of Stargate Abilene, I think it's safe to assume that OpenAI takes up 80-90 % of Microsoft's available capacity. Similarly, Epoch estimates that by end of 2025, Amazon had access to an estimated 1.67 gigawatts of capacity, and I estimate over 75 % is taken up by Anthropic. Amazon's Anthropic dedicated project Rainier Data Center accounted for 500 megawatts by the end of that year, around a third of that capacity. And considering Anthropic spend, I think it's reasonable to believe it's taking up the vast majority of what's available.

7:57Of course there are capacity issues. You're selling all the capacity to one fucking company. Epoch also estimates that Google had around 2.95 gigawatts. A remarkable figure that also relies on literally doubling its capacity since the beginning of 2025. Nevertheless, it likely uses a lot of its GPUs for Anthropic too, but it's hard to estimate how much, as we have very little insight into Anthropic's spend on Google Cloud outside of its promise to use, and I quote, up to 1 million TPUs with over a gigawatt of capacity coming online in 2026 from the end of last year, and a month ago when it said it would use, and I quote, multiple gigawatts of next-generation TPU capacity starting in 2027.

8:35I also think it's fair to assume that large swaths of Google's compute infrastructure is taken up by Google Gemini being shoved into literally every single part of Google's products. It's everywhere. It's like a fucking weed. It's horrible. Google also refuses to break out its AI revenues, but considering it owns around 13 % of Anthropic, I also think it's fair to assume a large capacity amount goes to them. All right, you know what? I tried to be nice. I tried to keep my cool, but this whole situation is beginning to piss me off. I'm tired of hearing people online and do this victory lap thing about how AI demand is there when it isn't.

9:15And when I started these monologues, I was told I'd be allowed to rent, and I haven't really let myself off the chain, so I think it's time to do so. The story of massive AI demand is a lie. Nearly a trillion dollars, if not more, annihilated to create the largest circle jerk of all time. Venture capitalists and hyperscalers feed money to open AI and Anthropics so that venture capitalists can feed money to startups to feed money back to OpenAI and Anthropic to feed back into hyperscalers for GPU compute, at which point they turn to Jensen Huang of NVIDIA and buy more GPUs. While it might seem tempting to credit these men as geniuses for creating companies specifically to feed themselves revenue, well, but to keep up with this kayfabe of doing AI to substantiate the build-out means that they've had to massively overcommit to the bit, even though the only two meaningful businesses in AI appear to be Anthropic and OpenAI, and that's only because they're effectively intellectual honeypots for the entire industry.

10:12Outside of those two, the only other competitive AI businesses are those of Amazon, Microsoft, and Google, two of which have an annualized revenue of around 6 % of their capital expenditures so far. Google's AI business is so booming that it refuses to break it out, and while it nebulously claims that AI is creating growth, it's not really clear how and they're vague about it because analysts and the media are ready to swallow the narrative as long as numbers go up. that's why Google doesn't break out their AI revenues by the fucking way Amazon and Microsoft had their hands forced by the markets after their stocks tumbled and fucked up by sharing their AI revenues Amazon's 298.3 billion dollars in CapEx has successfully created an AI business that, more than a quarter of a way to a trillion dollars has successfully managed to make 1.25 billion dollars a month that's fucking pathetic if we had investors with IQs above room temperature they'd run Andy Jassy out of Arlington like fucking Shrek.

11:08But this is the AI bubble where everybody is wrong because once everybody admits what's actually happening, they're going to have to admit they all sounded insane for years. $1.25 billion a month after nearly$300 billion of CapEx. Unbelievable. What a joke. And like I said, more than 75%, if not 80 % or more of that revenue is from fucking Anthropic, who Amazon just agreed to fund up to another$25 billion. At some point, it's just Microsoft, Google, and Amazon handing themselves money or handing it to NVIDIA to justify why they've burned over$800 billion fucking dollars, creating some of the most wretched businesses of all time.

11:50I'm sorry. Wow, Satya. You managed to get up to$20 million paying Microsoft 365 co-pilot subscriptions. 600 million dollars a month in revenue not profit and all it took was you investing more than 13 billion dollars in open ai forcing large language models into every one of your products in a way that borders on harassment and about what 240 something billion dollars in capex as well as laying off tens of thousands of people and savaging the xbox brand whoopty fucking shit man you should be ashamed of yourself

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15:05Open AI is, in and of itself, a kind of psychosis generator. It was the first thing in a long time that felt like a new thing since the iPhone for the people that entirely obsess over growth. It was the panacea for the entire tech industry, creating a new way for business idiots to spend money on infrastructure, a new thing for consultants to scam people with, a new series of things to be an expert in as a journalist, a blogger, or just a scam artist, all wrapped up in something that could also be a consumer product, an enterprise software product, and a new kind of API to attach to other enterprise software products and then charge more money.

15:40In theory, OpenAI's success would lift everything at once, hardware, software, and even adjacent fields. It promised to both democratize access to creating software, while also heavily reinforcing existing power structures to the point that every dollar inevitably ended up in the Magnificent Seven's pocket or arsehole. The problem is that the system needed to actually work one day. It needed to eventually make more money than it cost. Every single one of these companies is talking about AI non-stop, and not one of them can show you a profit. The only thing they can do is tell lies of omission by saying AI helped boost everything.

16:16And when you ask for specifics, well, the results are either tepid or so secretive you'd think they were hiding a dead body. The only reason Google, Amazon, and Microsoft are being tolerated at their current excess is because their non-AI segments continue to grow through endless price increases and in-shittification, and its other business units, by which I mean OpenAI and Anthropic, are yet to run out of money to feed them. Sorry, by the way, I just, I don't know what Meta's doing. I haven't talked about them very much because I don't think Meta knows what Meta is doing. Every so often they bury a fact in one of their blogs about they saw a 3 % increase in something related to AI.

16:54Then they promise to burn another$170 billion in a year, and again, we can't really tell why. They also lost another$4 billion on reality labs in the quarter, by the way. There should be a legitimate criminal inquiry into where this money is going. This is very strange. I think they're at like$80-86 billion, and all we have to show for it is the metaverse and pervert glasses. Meanwhile, SpaceX and Mr. Musk is rushing to have the strangest and largest IPO of all time. All those daily stories leak about billions of dollars of losses and whatever the fuck that deal with Cursor is. Apparently, SpaceX will buy it for$60 billion or pay it$10 billion to fuck off.

17:35I think what actually happens is a secret third thing. SpaceX funds it for a bit, then there's a falling out between Musk and Michael Truel of Cursor, and then the company either rushes another acquisition or just dies. Remember, Elon Musk killed Cursor's funding round that was in place by doing this acquisition, and he can't buy this company before SpaceX goes public. Elon Musk took fucking OpenAI to court. Do you think he'll care about killing Cursor? Who's going to sue them? The remains? It's just a fucking rapper company. I'm so fucking tired of it. Anyway, that lawsuit with OpenAI, it's a real alien versus predator situation.

18:11And if I'm honest, I found the whole thing a little boring. A duo of dullards shoulder barging each other to see who can run a company that neither of them can really describe because neither of them do anything other than pontificate and take credit for other people's work. Two dumb bitches going, exactly. If this breaks OpenAI, I'll be surprised. But if it does, it would be extremely fitting that fucking Elon Musk would accidentally destroy the AI industry. like Mr. Bean sitting down on a button that launches a nuke. If I'm wrong here, it'd be very funny. I'm just not giving it much hope. Nevertheless, this entire industry is only made possible by the global kayfabe circular economy of taking every single sign is good for AI and ignoring every single possible glaring warning sign in the hopes they'll go away.

18:56That is the entire strategy. That's all it is. It's just people being like, well, the bad things don't matter. They do matter. Last week, Microsoft said it's shifting GitHub Copilot to token-based billing, meaning that people will have to pay the actual cost of their models. This is effectively killing the product as people know it, and invalidates every single story about its growth, revenue or otherwise, ever written. I don't see anyone unwriting those, by the way. No one gives a fuck. And to give you some context about the scale of how big GitHub Copilot was, or is, until they stop subsidizing people's compute, because right now when you use GitHub Copilot, but Microsoft's just paying the models for you.

19:35Anyway, Gearhub Copilot is the second largest customer of Anthropics models and was only that large because it was subsidizing the compute spend of its customers. A lot of that money spent on Anthropics. This is bad. And really, that's the only way to build any kind of AI business. Google and Amazon realize that AI revenues are contingent on the continued survival of Anthropics, and Amazon and Microsoft's revenues are contingent on OpenAI and Anthropics. They know that if these companies die, they're going to lose billions of dollars in revenue, but also they have to compete with them for fear that they'll be seen as falling behind their horrible progeny.

20:11And thus they're incinerating their brands and endlessly pontificating about the power of AI while spending nearly a trillion dollars on CapEx almost entirely to make sure their competition, which is also their customer, which is also their welfare recipient, doesn't die because if they die, they lose a bunch of revenue, but they need to spend way more money than they'll ever make to justify that. yeah, it's a mess and a mistake. And eventually one of these companies is going to grow tired a bit. Microsoft was already billions under the analyst estimates for CapEx. They're moving to token-based billing on GitHub Copilot.

20:45They claim to invest in Anthropic in February, but didn't mention it in their 10Q, their earnings, in any way, shape, or form, which means no money was sent. At some point, these fucknuts are going to be forced to reckon with what they're doing. Until then, we'll have increasingly more frenzied and ejaculatory statements about AI demand that fail to match with reality. I truly think that it's going to be like this, if not crazier, until one day when the music suddenly stops. Somebody's going to blink. Somebody is going to take a step back and give everybody else permission to stop too. Maybe perplexity, lovable, rip-lit, or cognition dies.

21:26Maybe Microsoft shifting GitHub Copilot to token-based billing on June 1st inspires others like Anthropic to follow suit. Maybe AI token austerity begins at Microsoft, Meta, or any other large company burning 10 % of their headcount on AI tokens. Maybe NVIDIA fails to inspire the markets in just the right way, or the fact that data centers are not opening fast enough to have fully digested 2025's GPUs finally catches up with the economic mismatch that Jensen Huang always beats and raises expectations. And that really is the strangest thing. At the current rate of sales, it's taking more than six months to install a single quarter's worth of GPU sales.

22:07At this point, it's obvious that there are warehouses of these fucking things. It just isn't obvious whether they're in one zone by hyperscalers or the Taiwanese ODMs, original design manufacturers like Quantum Computing and Foxconn that build their servers. and last quarter it looked like Quantra Computing's inventories were growing by billions of dollars is that good? Anyway, none of this makes sense it hasn't from the beginning it's the largest bubble in history and has reached such an intellectual and financial scale that many have taken science on it in a way that will be completely impossible to walk back if they're wrong.

22:42As things deteriorate expect them to cling to their mythologies tighter and become more and more agitated and make vulgar threats and weird comments that don't really make sense, but they're nevertheless quite verbose. And really, we've never seen anything like this in our lives. You realize that open AI doesn't make any sense, right? It can't survive without eternal subsidies. None of these businesses can. Every single AI business you see is unprofitable, and none of them have a path to break even, let alone sustainability. And to make matters worse, it appears the only way to create demand was to literally fund it yourself.

23:21These men believe they've created perpetual energy. What they've actually done is shit their pants and set their houses on fire. Anyway, catch you next week.

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From the publisher

In this week's Better Offline monologue, Ed Zitron runs through how 70-80% of Amazon and Microsoft’s AI revenue and capacity is taken up by OpenAI and Anthropic, and how capacity constraints across the industry are a result of hyperscalers sacrificing their infrastructure to the least-profitable startups of all time.

Premium newsletter out later today - AI’s Demand Story Is A Lie - save $10 off a year of my premium newsletter: https://edzitronswheresyouredatghostio.outpost.pub/public/promo-subscription/gzqwkv54e1

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