Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

Ed Zitron Where's Your Ed At Published

AI Is A Money Trap

We recorded 38 claims from this post. 16 were checked against evidence. 22 can’t be checked. 28 more are held. Read the post at its source.

Claims from this post (38)

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.

  1. Assessment: Can’t be checkedSaid

    “And now they're in "early-stage discussions" about an employee share sale that would value the company at $500 billion, a ludicrous number that shows we're leaving the realm of reality.”

    What we tested: The $500 billion valuation implied by OpenAI's reported employee share sale discussions is a ludicrous number that shows we are leaving the realm of reality.

  2. Assessment: UnresolvedSaid

    “There are standard ways to handle annualized revenue, and it's clear they're not following them.”

    What we tested: OpenAI is not following standard methods for calculating annualized revenue.

  3. Assessment: Can’t be checkedSaid

    “I know it sounds a little insane, but I believe that Cursor is the weak point of the entire AI bubble, and I’ll explain why, and how this could go.”

    What we tested: He believes Cursor is the weak point of the entire AI bubble.

  4. Assessment: UnresolvedSaid

    “Cursor’s product is now worse. People are going to cancel their subscriptions. Its annualized revenue will drop, and its ability to raise capital will suffer as a direct result.”

    What we tested: Cursor's product is now worse, so people will cancel their subscriptions, its annualized revenue will drop, and as a direct result its ability to raise capital will suffer.

  5. Assessment: Can’t be checkedSaid

    “The unit economics of this business do not make sense and yet, on some level, its existence is deeply important to the valley’s future.”

    What we tested: Cursor's unit economics do not make sense, yet its existence is important to Silicon Valley's future.

  6. Assessment: UnresolvedSaid

    “It already has their own extremely-expensive coding environment, Claude Code, which I estimated loses the company 100% to 10,000% of a subscription per-customer a few weeks ago, and now Anthropic is adding weekly limits on accounts, which will, I believe, create some of the most gnarly churn in SaaS history.”

    What we tested: He believes Anthropic's new weekly limits on Claude Code accounts will create some of the most gnarly churn in SaaS history.

  7. Assessment: Can’t be checkedSaid

    “Is Cursor worth $10 billion? Nope! No matter how good its product may or may not be, it is not good enough to be sold at a price that doesn’t require Cursor to incinerate hundreds of millions of dollars with no end in sight.”

    What we tested: Cursor is not worth $10 billion, because however good its product is, it is not good enough to sell at a price that would spare Cursor from burning hundreds of millions of dollars with no end in sight.

  8. Assessment: Can’t be checkedSaid

    “I’m not saying these companies are unnecessary, so much as they may very well be impossible to run as real businesses.”

    What we tested: Generative AI companies may be impossible to run as real businesses.

  9. Assessment: UnresolvedSaid

    “Why isn’t there one, outside of the companies creating data to train the AI models, or Nvidia? We’re three years in, and we haven’t had one.”

    What we tested: Three years in, there is no profitable generative AI company other than training-data firms and Nvidia.

  10. Assessment: ContradictedSaid

    “We also have had no exits and no IPOs.”

    What we tested: Generative AI startups have had no exits and no IPOs.

    What happened: Wix's CEO confirms the acquisition of Base44, an AI app-creation product business; the introduction dates its joining Wix to June 2025. This supplies an acquisition before the post beyond its acknowledged exceptions. (Wix, )

  11. Assessment: Can’t be checkedSaid

    “And, like homeowners in the dismal years of 2008 and 2009, they’re almost certainly underwater — they just haven’t realized it yet.”

    What we tested: VCs invested in unprofitable generative AI startups are almost certainly underwater on those investments.

  12. Assessment: UnresolvedSaid

    “They don’t make enough money to survive without a continuous flow of venture capital, and they don’t seem to make impressive sums of money even when allowed to burn as much as they’d like.”

    What we tested: Generative AI startups do not make enough money to survive without a continuous flow of venture capital, and they do not seem to make impressive sums even when allowed to burn as much as they like.

  13. Assessment: Can’t be checkedSaid

    “GenAI businesses don’t have the same economics, nor do they have the same total addressable markets.”

    What we tested: Generative AI businesses do not have the same economics or the same total addressable markets as earlier cash-burning companies such as Uber.

  14. Assessment: Can’t be checkedSaid

    “But I’ve been dancing around the real reason they won’t sell: because, fundamentally, generative AI does not let companies build something new.”

    What we tested: Generative AI startups won't sell because generative AI fundamentally doesn't let companies build anything new.

  15. Assessment: Can’t be checkedSaid

    “This isn’t anything like any boom that leads to something, and it’s because the economics do not make sense.”

    What we tested: The generative AI boom is unlike booms that lead to something because its economics don't make sense.

  16. Assessment: Can’t be checkedSaid

    “It must go public, because at a valuation of $300 billion, OpenAI can no longer be acquired, because nobody has that much money and, if let’s be real, nobody actually believes OpenAI is worth that much.”

    What we tested: At a $300B valuation OpenAI cannot be acquired and must go public; nobody truly believes it's worth that much.

  17. Assessment: Can’t be checkedSaid

    “Outside of ChatGPT, there’s really no proof that these products are anything remotely essential, and I argue there’s very little about ChatGPT that Microsoft couldn’t provide with rate limits via Copilot.”

    What we tested: Outside of ChatGPT there is really no proof that generative AI products are remotely essential, and he argues there is very little about ChatGPT that Microsoft could not provide, with rate limits, through Copilot.

  18. Assessment: Can’t be checkedSaid

    “OpenAI doesn’t break out the actual revenues behind these numbers for a reason, and I believe that reason is “they don’t look as good.””

    What we tested: He believes OpenAI does not break out the actual revenues behind its numbers because they do not look as good.

  19. Assessment: Can’t be checkedSaid

    “Anyway, long story short, these companies are unprofitable with no end in sight, don’t even make that much money in most cases, are valued more than anybody would ever buy them for, do not have much in the way of valuable intellectual property, and the two biggest players burn billions of dollars more than they make.”

    What we tested: Generative AI companies are unprofitable with no end in sight, in most cases do not make much money, are valued at more than anyone would ever buy them for, do not have much valuable intellectual property, and the two biggest players burn billions of dollars more than they make.

  20. Assessment: UnresolvedSaid

    “Even if this were going to happen — it will not! — who would they give the money to and for how long?”

    What we tested: The US government will not give generative AI companies money forever.

  21. Assessment: Can’t be checkedSaid

    “I don’t think this happens! I think this is a silly idea, and the most likely situation would be that Microsoft would unhinge its jaw and swallow OpenAI and its customers whole.”

    What we tested: He does not think a government bailout of OpenAI will happen and calls the idea silly; he says the most likely situation is that Microsoft would swallow OpenAI and its customers whole.

  22. Assessment: UnresolvedSaid

    “Large Language Models do not scale profitably, and their functionality is not significant enough to justify the costs of running them.”

    What we tested: LLMs don't scale profitably and their functionality doesn't justify their running costs.

  23. Assessment: UnresolvedSaid

    “If I’m honest, I think the future of LLMs will be client-side on egregiously-expensive personal setups for enthusiasts, and in a handful of niche enterprise roles.”

    What we tested: He thinks the future of LLMs will be client-side on egregiously expensive personal setups for enthusiasts and in a handful of niche enterprise roles.

  24. Assessment: Can’t be checkedSaid

    “If OpenAI is making a billion dollars a month, it is possibly losing that much (or more) after revenue, and that’s the money it can get selling the product in a form that can never turn profitable.”

    What we tested: If OpenAI is making a billion dollars a month, it is possibly losing that much or more after revenue, and that revenue comes from selling the product in a form that can never turn profitable.

  25. Assessment: Can’t be checkedSaid

    “The revenue you see today is what people are willing to pay for a product that loses money, and I cannot imagine they would pay as much if the companies in question charged their costs.”

    What we tested: He cannot imagine customers paying as much as they do today if AI companies charged them their actual costs.

  26. Assessment: Can’t be checkedSaid

    “To be clear, OpenAI, by my estimates, has only made around $5.26 billion this year (and will have trouble hitting its $12.7 billion revenue projection for 2025), and will likely lose more than $10 billion to do so.”

    What we tested: OpenAI will likely lose more than $10 billion in 2025.

  27. Assessment: Can’t be checkedSaid

    “Private equity may ultimately face the same problem as many AI startups: there is no clear exit strategy for these investments. In the absence of real liquidity, firms will likely resort to all manner of financial engineering (read: bullshit) —marking up portfolio companies using internally generated valuations, charging fees on those inflated marks, and using those marks to entice new commitments from limited partners.”

    What we tested: Private equity may ultimately face the same lack of a clear exit strategy as many AI startups, and in the absence of real liquidity, firms will likely resort to financial engineering such as marking up portfolio companies with internal valuations, charging fees on those marks, and using them to attract new commitments from limited partners.

  28. Assessment: UnresolvedSaid

    “The complexity of these arrangements makes it hard to anticipate the full economic fallout if the cycle breaks down, but the systemic risk is building.”

    What we tested: Systemic risk from private credit financing of AI infrastructure is building.

  29. Assessment: UnresolvedSaid

    “The reality is simple: the majority of all AI capex is from big tech, which is a massive systemic weakness in our economy.”

    What we tested: Most AI capex comes from big tech, which is a major systemic weakness in the US economy.

  30. Assessment: UnresolvedSaid

    “While its capex may not have dipped yet (in part because the chip-heavy nature of generative AI means that capex isn’t exclusively dominated by property), it’s now obvious that if it does there will be direct effects on both the US economy and stock market, as Microsoft is part of what amounts to a stimulus package propping up America’s economic growth.”

    What we tested: If Microsoft's capex dips, it will directly hurt the US economy and stock market.

  31. Assessment: Can’t be checkedSaid

    “In fact, generative AI is turning out to be a fever dream entirely made up by big tech. OpenAI would be dead if it wasn’t for the massive infrastructure provided by Microsoft at-cost in return for rights to its IP, research, and the ability to sell its models on top of the tens of billions of dollars of venture capital thrown into its billion-dollar cash incinerator.”

    What we tested: OpenAI would be dead without Microsoft's at-cost infrastructure and massive venture funding.

  32. Assessment: Can’t be checkedSaid

    “Anthropic would be dead if both Google and Amazon — the latter of which provides much of its infrastructure — hadn’t invested billions in keeping it alive so that it can burn $3 billion or more in 2025 while fucking over its enterprise customers and rate limiting the rest.”

    What we tested: Anthropic would be dead if Google and Amazon had not invested billions to keep it alive, investment that lets it burn $3 billion or more in 2025 while mistreating its enterprise customers and rate-limiting the rest.

  33. Assessment: Can’t be checkedSaid

    “The generative AI industry is, at its core, unnatural. It does not make significant revenue compared to its unbelievable costs, nor does it have much revenue potential.”

    What we tested: The generative AI industry makes little revenue relative to its costs and has little revenue potential.

  34. Assessment: UnresolvedSaid

    “At some point capex has to slow — if not because of the lack of revenues or massive costs associated, but because we live in a world with finite space, and when said capex slow happens, so will purchases of NVIDIA GPUs, which will in turn, as proven by Kedrosky and others, slow America’s economic growth.”

    What we tested: AI capex will eventually slow, reducing NVIDIA GPU purchases and slowing US economic growth.

  35. Assessment: UnresolvedSaid

    “That capex reduction will bring with it a reduction in expenditures on NVIDIA GPUs, which will take a chunk out of the US stock market. Although the stock market isn’t the economy, the two things are inherently linked, and the popping of the AI bubble will have downstream ramifications, just like the dot com bubble did on the wider economy.”

    What we tested: Reduced AI capex will cut NVIDIA GPU spending, hit the US stock market, and the AI bubble's popping will damage the wider economy like the dot-com bust.

  36. Assessment: UnresolvedSaid

    “Expect to see an acceleration in layoffs and offshoring, in part driven by a need for tech companies to show — for the first time in living memory — fiscal restraint.”

    What we tested: When the AI bubble pops and capex falls, layoffs and offshoring will accelerate, driven partly by tech companies needing to show fiscal restraint for the first time in living memory.

  37. Assessment: UnresolvedSaid

    “We’ll see a drying-up of VC funding. Pension funds will take a hit — which will affect how much people have to spend in retirement. It’ll be grim.”

    What we tested: When the AI bubble pops, VC funding will dry up and pension funds will take a hit that affects how much people have to spend in retirement, and it will be grim.

  38. Assessment: Can’t be checkedSaid

    “It feels as if everything is aligning for disaster, and I fear there’s nothing that can be done to avert it.”

    What we tested: It feels to him as if everything is aligning for disaster, and he fears nothing can be done to avert it.

Held from this post (28)

These records did not pass every check, so nothing about them is published. Held is not a finding.