Where're All The AI Chips?
We recorded 17 claims from this post. 17 can’t be checked. 7 more are held. Read the post at its source.
Claims from this post (17)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Observation
“It has claimed again and again that it has brought gigawatts of capacity online for the best part of a year, all, in my opinion, with the intent of misrepresenting the scale of an AI data center buildout where I believe most of the GPUs, to quote Satya Nadella, are now “sitting in inventory that [they] can’t plug in.””
Our reading: In Zitron's opinion, most of Microsoft's GPUs are sitting in inventory uninstalled and its capacity claims are intended to misrepresent the AI buildout.
No horizon
Qualifier: in my opinion
Assessment: Can’t be checkedSaid
Forecast
“In other words, I think everybody is completely wrong about data center capacity, and it’s going to be a nightmare to untangle once they work it out.”
Our reading: The author thinks everybody is completely wrong about data center capacity, and that it will be a nightmare to untangle once they work it out.
No horizon
Qualifier: I think
Assessment: Can’t be checkedSaid
Forecast
“Everybody wants AI to be just like the Dot-Com Bubble, when I fear that GPUs may end up like the millions of unsold copies of Atari’s ET found buried in New Mexico.”
Our reading: The author fears that GPUs may end up like the millions of unsold copies of Atari's ET found buried in New Mexico.
No horizon
Qualifier: I fear
Assessment: Can’t be checkedSaid
Observation
“While I cannot say the exact rationale for making these statements, I can find no way to interpret them other than being an act of deception.”
Our reading: The author cannot say the exact rationale, but can find no way to interpret Microsoft's FY26 earnings-call statements about adding a gigawatt of capacity a quarter other than as an act of deception.
No horizon
Qualifier: I cannot say the exact rationale
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“This is a huge scandal.”
Our reading: It is a huge scandal that Microsoft buys GPUs it has nowhere to put while saying it is bringing gigawatts of capacity online.
No horizon
Assessment: Can’t be checkedSaid
Observation
“If Microsoft is struggling, everybody’s struggling, and we may have a very inconvenient truth: that NVIDIA has potentially sold hundreds of billions of GPUs years in advance.”
Our reading: If Microsoft is struggling, everybody is struggling, and it may be true that NVIDIA has potentially sold hundreds of billions of GPUs years in advance.
No horizon
Only if: if Microsoft is struggling
Assessment: Can’t be checkedSaid
Causal claim
“And if the truth — and this very much seems to be the case — is that NVIDIA has sold hundreds of billions of dollars of GPUs years in advance, that materially changes everything about the AI bubble and the AI data center buildout.”
Our reading: If NVIDIA has sold hundreds of billions of dollars of GPUs years in advance, which very much seems to be the case, that materially changes everything about the AI bubble and the AI data center buildout.
No horizon
Only if: if NVIDIA has sold hundreds of billions of dollars of GPUs years in advance
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Hyperscalers have a spending problem.”
Our reading: Hyperscalers have a spending problem.
No horizon
Assessment: Can’t be checkedSaid
Observation
“It’s also clear that Microsoft, Google, Amazon, Meta, SpaceX, and every neocloud are purchasing NVIDIA GPUs tens of billions at a time under the implicit knowledge that it will take years to build the capacity and connect the power to them, creating what amounts to the largest pre-order campaign in the history of capitalism, but also a material misrepresentation of the current AI buildout.”
Our reading: It is clear that Microsoft, Google, Amazon, Meta, SpaceX and every neocloud are buying NVIDIA GPUs tens of billions at a time, implicitly knowing it will take years to build the capacity and connect power, which amounts to the largest pre-order campaign in the history of capitalism and a material misrepresentation of the current AI buildout.
No horizon
Qualifier: it's also clear
Assessment: Can’t be checkedSaid
Causal claim
“This, by the way, is the problem with hyperscalers not explicitly breaking out their AI revenue, because in doing so they create the (I’d argue deliberate) illusion that AI capex is creating revenue growth, which both tricks investors into buying their stock and tricks developers into building AI data centers, believing that capex quickly translates into revenue.”
Our reading: By not breaking out AI revenue, hyperscalers create an arguably deliberate illusion that AI capex drives revenue growth, misleading investors and developers.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“In all honesty, the best case scenario would be if NVIDIA stopped selling GPUs, or AI data center debt stopped being issued, because every single time a data center is funded and breaks ground, it increases the severity of the overbuild scenario.”
Our reading: The best-case scenario would be for NVIDIA to stop selling GPUs or for AI data center debt to stop being issued, because every time a data center is funded and breaks ground it makes the overbuild worse.
No horizon
Qualifier: every single time a data center is funded and breaks ground
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Most of NVIDIA’s sales are sitting in warehouses, and that is a significant disclosure that NVIDIA should have already been forced to make.”
Our reading: NVIDIA should have been forced to disclose that most of its sales are sitting in warehouses.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Perhaps this doesn’t rise to the level of SEC action, but every single journalist and analyst should be asking Jensen Huang and every hyperscaler executive buying GPUs the following questions:”
Our reading: Journalists and analysts should press NVIDIA and hyperscaler executives on how many GPUs are actually operational and generating revenue.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“Everybody celebrating Anthropic’s (entirely fictional) plans to have 5GW of capacity by the end of 2026 should know that this company is inspiring one the largest misallocation of capital in the history of capitalism.”
Our reading: Anthropic's plan to have 5GW of capacity by the end of 2026 is entirely fictional, and the company is inspiring one of the largest misallocations of capital in the history of capitalism.
No horizon
Assessment: Can’t be checkedSaid
Observation
“I fear that every single model around existing and future data center construction and AI compute demand is wrong, and that every assumption we have about the underlying economics of AI is corrupted by the belief that there’s far more operational capacity than there really is.”
Our reading: The author fears that every model of existing and future data center construction and AI compute demand is wrong, and that every assumption about the underlying economics of AI is corrupted by the belief that there is far more operational capacity than there really is.
No horizon
Qualifier: I fear
Assessment: Can’t be checkedSaid
Rhetoric
“None of this ever had anything to do with AI, and everybody who cheered Jensen Huang’s ascent in the belief it did is a mark.”
Our reading: The NVIDIA GPU boom never had anything to do with AI itself.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“The longer this continues, the more promises are made, the more projects that are announced…the worse it’s going to be.”
Our reading: The longer the AI buildout continues and more projects are announced, the worse the eventual fallout will be.
No horizon
Only if: the longer this continues
Held from this post (7)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: Under his model, about $791 billion of big-four hyperscaler capex is unaccounted for, which he calls fairly disastrous. Assuming 50% of it is GPUs, about $395 billion of silicon has been sold and is, he hopes, sitting in a warehouse or unpowered data center, which he calls questionably legal accounting.
- The two reviews read the claim differently
- The two reviews read the claim differently
- Attribution is uncertain
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: CoreWeave, Nscale, Lambda and every other neocloud are on the highway to Hell (financial ruin), with ballooning debt that can only be paid through contracts dependent on a few AI labs and Meta.