Revenge of The Business Idiot
We recorded 28 claims from this post. 11 were checked against evidence. 17 can’t be checked. 40 more are held. Read the post at its source.
Claims from this post (28)
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
Rhetoric
“AI is a perfect storm of failed concepts and organizations, and the apex of the Era of the Business Idiot, an epoch where we’re ruled by people so thoroughly disconnected from the actual workforce that it was inevitable that a technology would be created specifically to grift them.”
Our reading: AI is a combination of failed concepts and organizations and a technology made to grift disconnected executives.
No horizon
Assessment: Can’t be checkedSaid
Causal claim
“Organizations aren’t burning millions or hundreds of millions of dollars a year on AI because it’s good, they’re doing it because they are run by people who do not know what the fuck they’re doing.”
Our reading: Organizations spend heavily on AI because of incompetent leadership, not because AI is good.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“While I’m not saying every LLM user is an imbecile, they’re built to convince the mediocre and incurious that they’re remarkable, and it turns out that a great many of them run venture capital firms and Fortune 500 companies.”
Our reading: LLMs are built to convince the mediocre and incurious that they are remarkable, and a great many such people run venture capital firms and Fortune 500 companies.
No horizon
Qualifier: not every LLM user is an imbecile
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“In a rational society, Salesforce’s stock would take a beating and the SEC would open an immediate and brutal investigation.”
Our reading: Salesforce's marketing of AI capabilities that are not live should cause its stock to fall and prompt an SEC investigation.
No horizon
Qualifier: in a rational society
Assessment: Can’t be checkedSaid
Causal claim
“And yet none of it’s really working, because Business Idiots don’t really know how anything works.”
Our reading: None of the Business Idiots' push to have AI automate work and remove other people is really working, because Business Idiots don't really know how anything works.
No horizon
Qualifier: really
Assessment: UnresolvedSaid
Observation
“Salesforce, one of the most-prominent hypesters behind the AI bubble has spent millions of dollars on advertising and marketing to promote a product that doesn’t exist in the way that it’s being sold.”
Our reading: Salesforce spent millions marketing an AI product that does not exist as sold.
No horizon Evidence as of
Limitation: The usable deployment account is a reporter's summary rather than the full investigation or customer records.
Assessment: Can’t be checkedSaid
Rhetoric
“Only an economy oriented around coveting and coddling losers would have let AI get this far.”
Our reading: Only an economy oriented around coveting and coddling losers would have let AI get this far.
No horizon
Assessment: Can’t be checkedSaid
Observation
“LLMs were meant to be the thing that replaced all workers, but the actual outputs and outcomes don’t seem to be resulting in anything changing other than lots of things becoming worse or more-expensive.”
Our reading: LLMs were meant to replace all workers, but their actual outputs and outcomes don't seem to be changing anything other than making lots of things worse or more expensive.
No horizon
Qualifier: don't seem to be
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“I don’t think LLMs, as a tool, are a grift. There are use cases, though those use cases are miniscule compared to the egregious promises and extrapolations made by the majority of the media and the executive sect, and absolutely nothing about them warrants the amount of money invested in them.”
Our reading: LLMs as a tool are not a grift and have use cases, but those use cases are minuscule compared to the promises and extrapolations of most of the media and executives, and nothing about them warrants the amount of money invested in them.
No horizon
Qualifier: compared to the egregious promises and extrapolations
Assessment: UnresolvedSaid
Forecast
“Can Anthropic actually take down Figma? God no, but the mere existence of Claude Design is enough to write that it might.”
Our reading: Anthropic, with Claude Design, cannot take down Figma.
No deadline stated Evidence as of
Limitation: Revenue growth alone does not measure market share or competitive migration.
Assessment: MixedSaid
Causal claim
“Because AI data centers are so capital-intensive, they require endless amounts of risky debt, but that risk allows private credit to take investments from insurance and pension funds desperate for yield, and because everybody involved is a Business Idiot, nobody has actually thought about what happens if these things don’t work out.”
Our reading: Because AI data centers are so capital-intensive they need endless risky debt, which lets private credit take money from yield-hungry insurance and pension funds, and because everyone involved is a Business Idiot, nobody has actually thought about what happens if these projects don't work out.
No horizon Evidence as of
Limitation: The contradictory evidence addresses absence of consideration, not whether preparations were sufficient.
Assessment: UnresolvedSaid
Observation
“Don’t worry about the fact that data centers aren’t getting finished, or that OpenAI and Anthropic make up 75%+ of all AI compute capacity, or that they make up more than 50% of Amazon, Google and Microsoft’s revenue backlog, or that both of them are horrendously unprofitable outside of brazen accounting tricks that would only work on a business and tech media intent on believing everything they say.”
Our reading: Data centers aren't getting finished; OpenAI and Anthropic make up 75% or more of all AI compute capacity and more than 50% of Amazon, Google and Microsoft's revenue backlog; and both are horrendously unprofitable apart from brazen accounting tricks.
No horizon Evidence as of
Limitation: This bundles four assertions with different measurement needs.
Assessment: Can’t be checkedSaid
Rhetoric
“And they want you to do that because they’re losing.”
Our reading: The AI industry is losing.
No horizon
Assessment: UnresolvedSaid
Observation
“Despite its so-called profitability, Anthropic has had to raise a combined $75 billion (between Google, Amazon and investors) since the beginning of the year. Both OpenAI and Anthropic had to lower their gross margin projections at the end of 2025.”
Our reading: Anthropic raised $75 billion in 2026 so far, and both OpenAI and Anthropic lowered gross margin projections at the end of 2025.
No horizon Evidence as of
Limitation: The monetary assertion's accounting basis is unknown.
Assessment: Can’t be checkedSaid
Causal claim
“That’s because underneath the puffery and the propaganda and the pervasive sense of inevitability, the AI industry is losing. Anthropic and OpenAI’s revenue growth is only possible thanks to a near-perpetual misinformation campaign that overstates both the current and future capabilities of LLMs, and a near-society-wide ignorance at the executive level.”
Our reading: The AI industry is losing; Anthropic and OpenAI revenue growth depends on misinformation that overstates LLM capabilities and on executive ignorance.
No horizon
Assessment: Can’t be checkedSaid
Observation
“This is what an industry does when it’s in distinct, existential distress.”
Our reading: The AI industry is in existential distress.
No horizon
Assessment: UnresolvedSaid
Observation
“Hundreds of billions of dollars — at least $178.5 billion in America alone in 2025 — have been sunk into data center construction based on flawed information, astronomically more flawed than the assumptions that led to the dot com bubble bursting”
Our reading: At least $178.5 billion went into US data center construction in 2025 on assumptions far more flawed than those behind the dot-com bubble.
No horizon Evidence as of
Limitation: The numerical component could be resolved separately from the judgment about investment assumptions.
Assessment: Can’t be checkedSaid
Observation
“These men have no other hypergrowth ideas, and are more willing to annihilate their cashflows and dominate the Earth with half-finished data centers than to admit that their core businesses will eventually decline.”
Our reading: Sundar Pichai, Satya Nadella and Andy Jassy have no other hypergrowth ideas and are more willing to annihilate their cashflows and fill the Earth with half-finished data centers than to admit that their core businesses will eventually decline.
No horizon
Assessment: UnresolvedSaid
Observation
“I’m repeating myself, but this is not what a healthy industry looks like. If AI data center demand were evenly-distributed and sustainable, NVIDIA’s revenue wouldn’t depend mostly on three customers.”
Our reading: The AI data center industry is unhealthy, as shown by NVIDIA's revenue depending mostly on three customers.
No horizon Evidence as of
Limitation: The 54% concentration component can be supported separately.
Assessment: UnresolvedSaid
Observation
“I absolutely, 100% believe that both OpenAI and Anthropic are doing the same, and that neither of them has some magical way of making inference cheap enough to justify letting people burn thousands of dollars on a $100-a-month or $200-a-month subscription.”
Our reading: OpenAI and Anthropic let users burn thousands of dollars of compute on $100–$200 subscriptions and have no way to make inference cheap enough to justify it.
No horizon Evidence as of
Limitation: Private subscriber-level cost records were unavailable.
Assessment: Can’t be checkedSaid
Observation
“It’s very likely that Dario Amodei and Sam Altman’s plan is to keep burning money until somebody who works for them comes up with a way not to, and in the interim their plan is to get as many users as they can to keep raising money.”
Our reading: It is very likely that Dario Amodei's and Sam Altman's plan is to keep burning money until someone who works for them finds a way not to, and in the meantime to get as many users as they can so they can keep raising money.
No horizon
Qualifier: very likely
Assessment: Can’t be checkedSaid
Observation
“There is no other plan. They do not have a secret invention coming. They do not have AGI in a box in their office.”
Our reading: Microsoft, Google, Meta and Amazon have no plan other than building data centers in the hope of having a use for them, no secret invention coming, and no AGI in a box in their offices.
No horizon
Assessment: UnresolvedSaid
Observation
“They say these things to make you think that they have a scary and powerful technology behind the scenes that does not exist. And yes, that includes Mythos.”
Our reading: Claims about white-collar automation are hype, and the powerful hidden technology they imply, including Mythos, does not exist.
No horizon Evidence as of
Limitation: The wording gives no objective threshold for 'scary and powerful'.
Assessment: UnresolvedSaid
Forecast
“Sundar Pichai, Andy Jassy, Larry Ellison, Elon Musk, Mark Zuckerberg and Satya Nadella will gladly annihilate hundreds of billions of dollars to avoid the inevitable, but once they do, it’ll be gruesome.”
Our reading: Big tech leaders will destroy hundreds of billions of dollars delaying an inevitable AI reckoning, which will be gruesome.
No deadline stated Evidence as of
Limitation: The search did not produce a complete loss reconciliation for every relevant company.
Assessment: Can’t be checkedSaid
Rhetoric
“Anthropic is either the single-most successful grifter of all time or speed-running a con where it fudges together numbers to raise endless amounts of money to keep its billion-dollar burn going.”
Our reading: Anthropic is either the most successful grifter of all time or speed-running a con in which it fudges numbers to raise endless money to keep its billion-dollar burn going.
No horizon
Assessment: UnresolvedSaid
Forecast
“The AI bubble is exactly that, a bubble, and like all bubbles, it will eventually pop.”
Our reading: The AI bubble will eventually pop.
No deadline stated Evidence as of
Limitation: Geographical scope materially affects the result.
Assessment: Can’t be checkedSaid
Observation
“It is inefficient, power-intensive, environmentally destructive, and inherently sold based on things that it might do, providing far more value to scam artists and con men than it does to its end users.”
Our reading: The AI industry and its LLMs are inefficient, power-intensive, environmentally destructive, inherently sold on what they might do, and provide far more value to scam artists and con men than to end users.
No horizon
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“No CEO that talks of a theoretical future as a means of selling you software in the present should be trusted. No technology that makes mistakes with regularity should be defended.”
Our reading: CEOs who sell software on a theoretical future should not be trusted, and technology that regularly makes mistakes should not be defended.
No horizon
Held from this post (40)
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 criteria are ambiguous. Our reading, not assessed: LLMs can sometimes do work-shaped tasks, but only if you accept mediocre, often-broken output that needs vigilant oversight, and Anthropic loses money whether you use its subsidised product or pay it a lot as an enterprise.
- The two reviews read the claim differently
- 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: LLMs cannot write all code.
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: Generative AI produces an impression of work and claims it can do tasks it cannot do.
- The criteria are ambiguous. Our reading, not assessed: Apparent demand for AI compute is almost entirely funded by debt.
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: The AI industry is producing no real profitability or return on investment.
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: Startups like Perplexity and Lovable survive only on VC subsidies, so a large share of Anthropic's and OpenAI's API revenue depends on those subsidies.
- The two reviews read the claim differently
- The record does not meet the current rules. Our reading, not assessed: We are on course for a truly horrible crash that may rewrite the venture capital industry, mortally wound one or more hyperscalers, and fundamentally divide society into those who fell for this and those who did not.
- The two reviews reached different assessments. Our reading, not assessed: Anthropic is not profitable on inference.
- 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 record does not meet the current rules. Our reading, not assessed: Those covering Anthropic's 'profitable' second quarter are intentionally ignoring that Musk deliberately discounted May and June in an obvious attempt to engineer a headline.
- The two reviews reached different assessments. Our reading, not assessed: OpenAI had a -122% non-GAAP operating margin in Q1 2026 and ChatGPT growth has stalled.
- The two reviews reached different assessments. Our reading, not assessed: To meet their combined $1.048 trillion compute commitments, OpenAI and Anthropic will need about a trillion dollars over the next four years from revenue or funding, more than any startup or public company has had to raise in history.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: Most AI startups will die once venture capital subsidies dry up.
- 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 reached different assessments. Our reading, not assessed: NVIDIA is investing tens of billions of dollars in AI data center companies such as IREN, CoreWeave, Anthropic and OpenAI, and has agreed to spend $30 billion on cloud service agreements over the next six years, literally paying its customers to buy its products in the most blatant circular financing since the dot-com bubble.
- 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: The underlying economics suggest that no subscription-based AI service, let alone a free one, makes any kind of financial sense.
- The two reviews read the claim differently
- The two reviews reached different assessments. Our reading, not assessed: Almost every company's AI experience resembles Uber's: rising AI costs that are hard to tie to useful output.
- The two reviews read the claim differently
- The two reviews read the claim differently