Dead Money
We recorded 21 claims from this post. 1 was checked against evidence. 20 can’t be checked. 12 more are held. Read the post at its source.
Claims from this post (21)
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
“In fact, I’d argue that the last year and a half’s worth of AI capex is fundamentally speculative, because there has never been any proof — even with Anthropic and OpenAI’s compute spend — that spending a trillion or more dollars on GPUs and data centers would ever pay off.”
Our reading: The last 18 months of AI capex is fundamentally speculative because there was never proof that trillion-dollar GPU and data center spending would pay off.
No horizon
Qualifier: last year and a half
Assessment: Can’t be checkedSaid
Observation
“In truth, I think there’s a world where AI revenues are much lower ($150 billion or less) and Anthropic and OpenAI’s share is more like 70% to 80%, especially in the case of Oracle.”
Our reading: Hyperscaler AI revenues may actually be $150 billion or less, with Anthropic and OpenAI's share around 70–80%.
No horizon
Assessment: Can’t be checkedSaid
Observation
“Goldman aggressively clears it throat by adding that “revenues are growing quickly and revenue backlogs are sizable”, but that’s far from a foregone conclusion considering (as I’ve mentioned) the fact that hyperscalers appear to be warehousing hundreds of billions of dollars of GPUs”
Our reading: Goldman's statement that AI revenues are growing quickly and revenue backlogs are sizable is far from a foregone conclusion, given that hyperscalers appear to be warehousing hundreds of billions of dollars of GPUs.
No horizon
Qualifier: hyperscalers appear to be warehousing GPUs
Assessment: Can’t be checkedSaid
Observation
“Considering that The Information had it at around $900 million a month beforehand, I think it’s likely that its revenues sit at around $300 million to $400 million.”
Our reading: Cognition's actual revenues are likely around $300–400 million despite its claimed $1 billion annualized figure.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“And things are only going to get worse from here.”
Our reading: Things are only going to get worse from here.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“As Oracle sits exactly one rung above junk — and its debt trades at junk rates (meaning that the markets buy and sell it as if the yields were junk (an average of 7.8%) — it would likely see its debt priced at around 25-50bps more than what we’ve seen here.”
Our reading: Because Oracle sits one rung above junk and its debt trades at junk rates, it would likely see new debt priced around 25–50bps above the flat repricing estimate.
No horizon
Only if: if Oracle issued this debt today
Assessment: Can’t be checkedSaid
Conditional forecast
“And if Oracle raises more debt, it runs the risk that two ratings agencies could downgrade it to “junk,” immediately forcing investment funds and indices that cannot hold junk debt to dump it, turning it into a “fallen angel” (as I covered a few months ago).”
Our reading: If Oracle raises more debt, it could be downgraded to junk by two agencies, forcing funds to dump its bonds.
No horizon
Only if: if Oracle raises more debt
Assessment: Can’t be checkedSaid
Causal claim
“And if the price of their debt is crashing — and the expected yield on the future debt is skyrocketing as a result — then their problems are everyone’s problems.”
Our reading: If CoreWeave's and Oracle's debt prices are crashing and expected yields on their future debt are skyrocketing as a result, their problems are everyone's problems.
No horizon
Only if: if their debt prices are crashing and expected future yields skyrocketing
Assessment: Can’t be checkedSaid
Forecast
“Said customers are brittle, unprofitable and unsustainable, with the very real risk that they simply won’t exist by the time construction is complete.”
Our reading: AI data center customers are brittle and unprofitable, and may not exist by the time construction is complete.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“Even then, at the end of the five year period, we’ll theoretically have multiple new generations of NVIDIA GPUs (Vera Rubin and Feynman), which will further suppress the ongoing rates that your data center earns”
Our reading: At the end of the five-year period there will theoretically be multiple new NVIDIA GPU generations (Vera Rubin and Feynman), which will further suppress the ongoing rates a data center earns.
No horizon
Qualifier: theoretically
Assessment: Can’t be checkedSaid
Rhetoric
“AI data centers — and their associated costs and debt — are priced for a level of perfection that no other industry has ever rivaled.”
Our reading: AI data centers and their associated costs and debt are priced for a level of perfection that no other industry has ever rivaled.
No horizon
Assessment: Can’t be checkedSaid
Forecast
“This means that before the bubble bursts, these companies will continue to sap the venture capital world of billions more dollars, all with little chance of an acquisition and a near-zero chance of an IPO considering their ugly economics.”
Our reading: Before the AI bubble bursts, AI startups will absorb billions more in VC with little chance of acquisition and near-zero chance of IPO.
No horizon
Qualifier: before the bubble bursts
Assessment: Can’t be checkedSaid
Observation
“Though some of them talk a big game about building or training their own models, doing so is enormously expensive with little chance of a payoff, especially given the massive advantage in compute, capital and talent held by the labs.”
Our reading: AI startups training their own models is enormously expensive with little chance of payoff given the labs' advantages.
No horizon
Assessment: Can’t be checkedSaid
Conditional forecast
“Every single day — even on the weekends — someone asks me either how or when all of this breaks, and my answer is simple: when the money runs out.”
Our reading: The AI bubble will break when the money runs out.
No horizon
Only if: when the money runs out
Assessment: Can’t be checkedSaid
Conditional forecast
“Once this happens, there will be a fundamental reevaluation of the value of all AI data center debt, which may lead to a sell-off of the underlying bonds and associated debt, which will make any investor deeply entrenched in the GPU credit business extremely nervous and, in some cases, unable to exit their positions in anything short of an embarrassing fashion.”
Our reading: Once AI data center debt becomes untenable, all such debt will be reevaluated, possibly triggering a bond sell-off that traps GPU credit investors.
No horizon
Only if: once AI data center debt becomes untenable
Assessment: SupportedSaid
Observation
“In 2025, Anthropic lost over $8 billion on $4.6 billion in revenue.”
Our reading: Anthropic's revenue for calendar 2025 was about $4.6 billion.
No horizon Evidence as of
Limitation: Zitron's source was a Reuters report on a leaked draft. The record checks his figure against the S-1 as filed.
Assessment: Can’t be checkedSaid
Observation
“While things could change in 2026, it’s important to note how many people said that Anthropic was “a better business” that would “be profitable faster than OpenAI,” which is, until we are able to see both of their audited 2026 financials, somewhere between a myth and an outright lie.”
Our reading: The claim many people made, that Anthropic was a better business that would be profitable faster than OpenAI, is somewhere between a myth and an outright lie until both companies' audited 2026 financials can be seen.
No horizon
Qualifier: until both audited 2026 financials are available
Assessment: Can’t be checkedSaid
Conditional forecast
“This company will, if allowed to go public, likely lean on the very same junk-grade/high-yield debt that AI data centers and neoclouds like CoreWeave currently need, and it will do so at volumes of somewhere between $50 billion and $100 billion a year for a company with few assets, endless losses and a CEO with the grace of a drunk elephant.”
Our reading: If Anthropic goes public, it will likely rely on junk/high-yield debt of $50–100 billion a year.
No horizon
Only if: if Anthropic goes public
Assessment: Can’t be checkedSaid
Rhetoric
“Anthropic is not the future of technology, nor is it the next Google, nor is it the next Microsoft, nor is it, to quote Reuters, capable of “[transforming] the global economy more profoundly than industrialization, electricity and the internet.””
Our reading: Anthropic is not the future of technology, not the next Google or Microsoft, and not capable of transforming the global economy more profoundly than industrialization, electricity and the internet.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“Anthropic is a cloud software company with volatile products and economics, sold in a fundamentally insincere and deceptive manner, pushed upon society with threats of death and destruction by aggressive zealots and members of the media bereft of shame.”
Our reading: Anthropic is a cloud software company with volatile products and economics, sold in a fundamentally insincere and deceptive manner and pushed on society with threats of death and destruction by aggressive zealots and shameless media.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We must treat OpenAI and Anthropic as what they are: economic disasters waiting to happen.”
Our reading: OpenAI and Anthropic should be treated as economic disasters waiting to happen.
No horizon
Held from this post (12)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews reached different assessments. Our reading, not assessed: In calendar 2025, Anthropic lost more than $8 billion.
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: The author has serious questions about the validity of SiliconData's rising GPU price indices, which he believes measure spot rates rather than longer-term rates, creating an illusion of success that doesn't connect to reality.
- The two reviews reached different assessments. Our reading, not assessed: 80% of Anthropic's and OpenAI's enterprise revenues come from 1% of their customers, the vast majority of them unprofitable AI startups, meaning the labs' demand depends on venture capital continuing to fund those startups.
- The two reviews reached different assessments. Our reading, not assessed: Like Cognition, Harvey, Perplexity, Replit and basically every other major AI startup will one day run out of money and die or become a much, much smaller company, though they are all hoping to be acquired by a hyperscaler.
- 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: The author does not see how Anthropic becomes able to afford its $518 billion in compute commitments or how it works its way out of its dire economics.
- The two reviews reached different assessments. Our reading, not assessed: This kind of SPV is the template for data center debt, its associated investors are a large chunk of the capital funding it, and their ability to keep funding AI data center debt is what is holding up the industry.
- The two reviews read the claim differently
- The two reviews read the claim differently