Let AI Burn
We recorded 34 claims from this post. 17 were checked against evidence. 17 can’t be checked. 22 more are held. Read the post at its source.
Claims from this post (34)
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
Recommendation or value judgment
“No bailouts, no handouts, no special treatment, no tax breaks, no CHIPS act, and no sovereign wealth fund.”
Our reading: The AI industry should receive no bailouts, handouts, special treatment, tax breaks, CHIPS act support, or sovereign wealth fund.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“This industry is unworthy — a sham conjured up by a tech industry that’s run out of ideas, a trillion-dollars’ worth of manufactured consent and entirely-avoidable financial crises — and should not be protected under any circumstance.”
Our reading: The AI industry is a sham built on manufactured consent and should not be protected under any circumstance.
No horizon
Qualifier: under any circumstance
Assessment: Can’t be checkedSaid
Observation
“Every single time you hear somebody discuss “bailout” or “too big to fail” or “sovereign wealth funds,” know that this is the industry, on some level, attempting to create the air that it cannot die, when in fact every one of these companies is just as weak and brittle as any other startup.”
Our reading: Every time someone discusses a 'bailout', 'too big to fail' or 'sovereign wealth funds', it is the AI industry, on some level, trying to create the impression that it cannot die, when in fact every one of these companies is just as weak and brittle as any other startup.
No horizon
Scope: every time such terms are discussed
Assessment: Can’t be checkedSaid
Observation
“the AI industry is very different to the financial industry. It is inessential to the economy, and its relevance is only as large as the hype campaign that sits behind it.”
Our reading: The AI industry, unlike the financial industry, is inessential to the economy and its relevance is only as large as its hype.
No horizon
Assessment: UnresolvedSaid
Forecast
“Generative AI will not bring us AGI, nor does it do much of what we associate with artificial intelligence.”
Our reading: Generative AI will not lead to AGI.
No deadline stated Evidence as of
Limitation: AGI remains operationally ambiguous.
Assessment: Can’t be checkedSaid
Rhetoric
“There has never been a tool or product in history sold with such hysteria and aggressive monocultural force that has ever turned out to be anything more than a grift.”
Our reading: No tool or product in history sold with such hysteria and aggressive monocultural force has ever turned out to be anything more than a grift.
No horizon
Scope: sold with such hysteria and aggressive monocultural force
Assessment: UnresolvedSaid
Causal claim
“the only reason that AI has any presence in our economy is that Microsoft, Google, Meta, and Amazon are intent on spending more than $765 billion in capital expenditures in 2026 and a trillion more in 2027 because they have no other hypergrowth ideas, even though generative AI has yet to show any real potential as something that can drive meaningful revenues (let alone profits)”
Our reading: The only reason AI has any presence in the economy is that Microsoft, Google, Meta and Amazon intend to spend more than $765 billion in capex in 2026 and a trillion more in 2027 because they have no other hypergrowth ideas, even though generative AI has yet to show any real potential to drive meaningful revenues (let alone profits), as shown by none of them breaking out their AI revenues.
No horizon Evidence as of
Limitation: Comparable 2026 guidance and a complete set of 2027 plans available by July 7, 2026, are missing.
Assessment: Can’t be checkedSaid
Observation
“all focused on one industry that has successfully created LLMs that are more expensive and significantly less useful than human beings.”
Our reading: LLMs are more expensive and significantly less useful than human beings.
No horizon
Assessment: ContradictedSaid
Observation
“Newsflash! AI GPUs are useful for generative AI and not much else.”
Our reading: AI GPUs are useful for generative AI and little else.
No horizon Evidence as of
Limitation: Exxact is a hardware vendor; the other two sources are preprints.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“They need you to speak in the future tense, because nothing — absolutely nothing — about what’s been created so far justifies even a fraction of its financial and infrastructural cost.”
Our reading: Nothing, absolutely nothing, about what generative AI has created so far justifies even a fraction of its financial and infrastructural cost.
No horizon
Qualifier: so far
Assessment: UnresolvedSaid
Conditional forecast
“These are not going to be useful for hobbyists, nor will they be cheaper to run, nor will incomplete data centers be cheaper to finish.”
Our reading: After the bubble bursts, leftover GPUs will not be useful to hobbyists or cheaper to run, and incomplete data centers will not be cheaper to finish.
No deadline stated Evidence as of
Only if: after the bubble bursts
Assessment: ContradictedSaid
Observation
“A lack of data center capacity isn’t holding back people from using generative AI, nor is it stopping anybody from launching a product, nor can anyone actually express what it is that they’re being built for other than “reasons for Anthropic and OpenAI to spend money.””
Our reading: Lack of data center capacity is not holding back generative AI usage or product launches.
No horizon Evidence as of
Limitation: The finding concerns constrained subscription usage, not universal inability to obtain the model.
Assessment: Can’t be checkedSaid
Observation
“Anyway, my larger point is that there was real demand during the dot com bubble, and LLMs’ demand appears decidedly artificial outside of OpenAI and Anthropic, who cannot afford to pay without unlimited venture capital funding.”
Our reading: Unlike the dot-com era, LLM demand appears artificial outside OpenAI and Anthropic, who can't pay without unlimited VC funding.
No horizon
Qualifier: outside of OpenAI and Anthropic
Assessment: UnresolvedSaid
Observation
“Nevertheless, said demand can’t be that large, otherwise we’d A) have other companies trying to build their own compute (other than Poolside, which failed to raise money to do so) and B) massive remaining performance obligations — hundreds of billions of dollars’ worth — rather than the grim truth that 50% of hyperscaler RPOs are from Anthropic and OpenAI, inflating obligations by $448 billion”
Our reading: Demand for compute beyond OpenAI and Anthropic is not large; they make up 50% of hyperscaler RPOs ($448B).
No horizon Evidence as of
Limitation: The quarter-end and company set are explicit evaluator interpretations.
Assessment: UnresolvedSaid
Conditional forecast
“Once every media story isn’t about AI, once every Business Idiot with AI psychosis stops posting about it every day, when everyone stops asking about your AI strategy or wanking on about “sovereign AI,” it’ll become blatantly obvious that the actual demand for AI was not particularly strong.”
Our reading: Once the AI hype subsides, it will become obvious that real demand for AI was not strong.
No deadline stated Evidence as of
Only if: once the hype dies down
Assessment: UnresolvedSaid
Observation
“We have little compelling evidence that providing any inference-based services is profitable, which means that even if open source AI outlives the frontier AI labs, it’s unclear who would actually power the infrastructure.”
Our reading: There is little compelling evidence that inference services are profitable.
No horizon Evidence as of
Limitation: The packet contains no comprehensive inventory of disclosures available by July 7, 2026.
Assessment: Can’t be checkedSaid
Causal claim
“While there are people that like and pay for ChatGPT or Claude, those who do so on a subscription basis are doing so because they can get $30 to $40 of compute for a dollar.”
Our reading: People who pay for ChatGPT or Claude on a subscription basis do so because they can get $30 to $40 of compute for a dollar.
No horizon
Scope: those who pay on a subscription basis
Assessment: UnresolvedSaid
Observation
“The vast, vast majority of AI compute demand is from services provided to people either for free or sold at such a massive discount that it’s impossible that anyone on a $20 or $200-a-month plan could even afford these services had they paid their actual token cost.”
Our reading: The vast, vast majority of AI compute demand comes from services provided either free or at such a massive discount that it is impossible that anyone on a $20 or $200-a-month plan could afford them at their actual token cost.
No horizon Evidence as of
Limitation: Some evidence concerns two providers rather than the whole market.
Assessment: SupportedSaid
Observation
“The only thing that American labs are scared of is cheaper open source Chinese models offering similar performance to their premium products, something that has also already happened.”
Our reading: Cheaper Chinese open-source models already offer performance similar to American labs' premium products.
No horizon Evidence as of
Limitation: The historical price and benchmark snapshot is preserved in a secondary official report.
Assessment: UnresolvedSaid
Observation
“GPUs aren’t dark fiber! GPUs aren’t fucking railroads! GPUs are GPUs! They are used for basically one thing! And that one thing lacks meaningful demand outside of subsidized services and circular financing!”
Our reading: GPUs, unlike fiber or railroads, serve basically one use, which lacks meaningful demand outside subsidies and circular financing.
No horizon Evidence as of
Limitation: The evidence contains no representative workload shares for data-center GPUs.
Assessment: Can’t be checkedSaid
Observation
“An AI startup bubble, where the vast majority of AI startups are both over-valued and have no foreseeable path to acquisition or a public offering.”
Our reading: The vast majority of AI startups are both over-valued and have no foreseeable path to acquisition or a public offering.
No horizon
Scope: vast majority
Assessment: Can’t be checkedSaid
Rhetoric
“It’s also unclear what you’d bail out, unless the plan is to feed them capital for all eternity until they work out how to run a functional business (so, forever).”
Our reading: It is unclear what a bailout would rescue unless the plan is to feed OpenAI and Anthropic capital until they work out how to run a functional business, which he jokes would be forever.
No horizon
Assessment: UnresolvedSaid
Conditional forecast
“As I covered in this week’s Hater’s Guide, SoftBank has wagered effectively its entire future on $40 billion or more in short-term loans to fund Sam Altman’s No IT Loads Party, and if OpenAI can’t go public, SoftBank will face a legitimate liquidity crisis.”
Our reading: If OpenAI cannot go public, SoftBank will face a real liquidity crisis given its $40B+ short-term loans for OpenAI.
No deadline stated Evidence as of
Only if: if OpenAI can't go public
Assessment: Can’t be checkedSaid
Forecast
“That being said, SoftBank is one of the largest companies on the Japanese stock market, and one of its largest investors is the Japanese government pension investment fund (GPIF), and thus might see some kind of bailout.”
Our reading: SoftBank might receive some kind of bailout because of its size and Japanese government pension fund ownership.
No horizon
Assessment: UnresolvedSaid
Conditional forecast
“There is no avoiding the carnage to come, outside of there being somewhere in the order of ten to a hundred times the demand for AI compute by 2030 that exists today, which would require AI compute to be larger than the $779 billion that the software industry earns annually.”
Our reading: The carnage to come cannot be avoided unless there is somewhere in the order of ten to a hundred times today's AI compute demand by 2030, which would require AI compute to be larger than the $779 billion the software industry earns annually.
Not yet due Evidence as of
Only if: unless AI compute demand is somewhere in the order of 10 to 100 times today's by 2030
Assessment: UnresolvedSaid
Forecast
“There isn’t a need for a bailout here, and one won’t be forthcoming.”
Our reading: There will be no bailout for banks' AI data center investments, and none is needed.
No deadline stated Evidence as of
Limitation: Public assistance may take forms other than a program explicitly called a bailout.
Assessment: UnresolvedSaid
Conditional forecast
“And, most crucially, the vast majority of big tech will be fine, at least in the short term, when the bubble bursts.”
Our reading: When the bubble bursts, the vast majority of big tech will be fine, at least in the short term.
No deadline stated Evidence as of
Only if: when the bubble bursts
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“These companies must be forced to stand on their own two feet and die with dignity if their wretched business models can’t keep up.”
Our reading: AI companies must stand on their own and be allowed to die if their business models fail.
No horizon
Qualifier: if their business models can't keep up
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We do not need a “sovereign AI strategy,” nor do we need “a sovereign AI wealth fund,” nor do we need to “make sure America leads in AI,” at least not when we’re talking about large language models, the underlying technology of ChatGPT and Claude, two of the most over-hyped and deceptively-marketed pieces of software in history.”
Our reading: Governments do not need a sovereign AI strategy, sovereign AI wealth fund, or push for US AI leadership in LLMs.
No horizon
Qualifier: regarding large language models
Assessment: Can’t be checkedSaid
Causal claim
“The only reason it has gone anywhere is because the tech industry has united around it as a means of hiding from the fact it has no next big thing, and nothing — absolutely nothing — that a LLM can do remotely justifies the investment.”
Our reading: The only reason LLMs have gone anywhere is that the tech industry united around them to hide the fact that it has no next big thing, and nothing, absolutely nothing, an LLM can do remotely justifies the investment.
No horizon
Qualifier: the only reason
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“When the time comes, the AI industry must burn. It must be allowed to die.”
Our reading: When the bubble bursts, the AI industry must be allowed to collapse without rescue.
No horizon
Qualifier: when the time comes
Assessment: UnresolvedSaid
Conditional forecast
“Giving $42 billion to OpenAI or Anthropic will not fix their business models, nor will it magic up the $400 billion or more in annual revenue to substantiate just NVIDIA’s AI GPU sales through the end of 2027.”
Our reading: Giving $42B to OpenAI or Anthropic would not fix their business models or create the $400B+ annual revenue needed to justify NVIDIA's GPU sales through 2027.
No deadline stated Evidence as of
Only if: if given $42 billion
Assessment: UnresolvedSaid
Forecast
“They are not building autonomous intelligence, nor will they ever do so.”
Our reading: The AI industry is not building autonomous intelligence and never will.
No deadline stated Evidence as of
Limitation: The assessment depends on the contract's broad interpretation of “autonomous intelligence.”
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“This era must end, and all failures must be allowed to fail.”
Our reading: This era, the AI bubble era, must end, and all failures must be allowed to fail.
No horizon
Scope: all failures
Held from this post (22)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The criteria are ambiguous. Our reading, not assessed: LLM technology has only ever lost money and has no path to sustainability.
- The criteria are ambiguous. Our reading, not assessed: He believes AI GPU capacity is being built in expectation of $450 billion or more in annual data center revenue for an industry that, without OpenAI and Anthropic, has a few billion dollars' worth of demand.
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: When the bubble bursts, NVIDIA will likely cease being the largest company on the stock market and the Magnificent Seven will have a dramatic fall from grace, but outside of unforeseen horrendous financial decisions, the worst he could see would be impairments for Microsoft, Google, Meta and Amazon, and SEC action against NVIDIA if it did sell GPUs to China.
- The criteria are ambiguous. Our reading, not assessed: OpenAI, Anthropic and the generative AI industry are systemically irrelevant to the financial system.
- The two reviews reached different assessments. Our reading, not assessed: In Q1 2026, OpenAI had $5.7 billion and Anthropic a little under $5 billion in revenue, mostly from companies burning AI tokens at a horrendous rate because they had just been forced to pay the actual cost of AI, and now everybody is pulling back on that spend.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The two reviews read the claim differently
- The two reviews read the claim differently
- The two reviews read the claim differently
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: OpenAI and Anthropic represent 89% of the largest AI companies' revenues; excluding them, the AI industry makes at most $20B a year.
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: He estimates that at least 70% of the entire AI industry's revenue is OpenAI and Anthropic's compute spend, and because both are horrendously unprofitable, the AI industry is, for the most part, venture capitalists funnelling money to hyperscalers, who funnel it to NVIDIA or data center capex.
- The two reviews reached different assessments. Our reading, not assessed: More compute is not, and has not been, lowering the cost of AI, and newer GPUs are not lowering the cost.
- The two reviews reached different assessments. Our reading, not assessed: He thinks what follows the AI bubble will be a greater revaluation of the tech industry, a necessary reckoning with reality for a Silicon Valley far more beholden to capital than to human progress.
- The criteria are ambiguous. Our reading, not assessed: Once demand for NVIDIA's GPUs wanes after hyperscalers reduce capex, no bailout can reverse the trend: this will kill the revenues of Taiwanese ODMs that build AI servers, which will kill the revenues of RAM and storage companies, leading to a prolonged depression throughout the semiconductor industry.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The record does not meet the current rules. Our reading, not assessed: OpenAI and Anthropic's actual economic presence is minor, apart from what he estimates is around $75 billion to $100 billion of 2026 compute spend and what will likely be around $60 billion of combined revenue, and the rest of the AI industry has so little that it is barely worth thinking about.
- The two reviews reached different assessments. Our reading, not assessed: Trump cannot simply mobilize $50 billion or $100 billion for an AI bailout; it would go through the House and the Senate, and any AI-sector bailout would be incredibly unpopular, infuriating both the left and Republicans who claim to care about working Americans or fiscal probity.