The 7 Reasons Wall Street Is Calling the Anthropic IPO a Test of Investor Gullibility in 2026 (The $2 Trillion vs $150 Billion Gap)
Everyone is drooling over the biggest AI IPO in history. Almost no one is doing the math that makes it embarrassing.
Here's the uncomfortable truth: Anthropic wants a $2 trillion valuation, and one research firm just valued the whole company at $150 billion.
This article is not a list of IPO hype points. It is about what happens when you divide one number by the other.
Anthropic CEO Dario Amodei. His company is about to ask the public to value it at $2 trillion. (Credit: TheStreet)
1. A research firm just called it the "most ridiculous IPO of 2026"
New Constructs, an independent financial research provider on Wall Street, published a report this week calling Anthropic's upcoming offering the "most ridiculous IPO of 2026."
- The firm's estimate: Anthropic is worth $150 billion.
- Anthropic's aspiration: a $2 trillion market cap on debut.
- The gap: 92% lower than the target.
Read that again. A 92% disagreement is not a rounding error. It is a different universe.
(Source: CNBC TV18)
2. Wall Street is facing an "unprecedented test of investor gullibility"
That phrase is New Constructs' own. Not mine, not a blogger's. A Wall Street research note.
- The offering, the firm argues, mainly creates liquidity for Anthropic's Wall Street backers, not wealth for public-market investors.
- Translation: the people selling want out more than they want you to get rich.
This is the sentence everyone will quote, and honestly, it deserves to be quoted.
(Source: TradingView/Benzinga)
3. The Nvidia math is genuinely brutal
To justify $2 trillion, New Constructs estimates Anthropic would need profits equal to double Nvidia's trailing four-quarter total.
- Nvidia's net income over the past four quarters: roughly $190 billion.
- So Anthropic needs about $380 billion in annual profit.
- Anthropic's actual 2025 revenue: $4.6 billion. Its net loss: $42 billion.
You need to be Nvidia, times two, to deserve this price. You are currently losing money faster than most companies earn it.
(Source: Slashdot)
4. The leaked prospectus numbers are ugly
Reuters got its hands on a leaked copy of Anthropic's IPO prospectus last month, and the figures are not flattering.
- $4.6 billion in 2025 revenue (impressive growth, real money).
- Over $42 billion in overall losses.
- Net operating loss of over $8 billion in 2025 alone.
Growing fast and losing money fast is the startup way. But $2 trillion is not a startup price. It is a "you are already one of the five biggest companies on Earth" price.
(Source: CNBC TV18)
5. The guy calling it out has been right about this exact thing before
David Trainer, the founder and CEO of New Constructs, is one of Wall Street's most notorious IPO bears.
- In 2019 he called WeWork "the most ridiculous IPO of 2019."
- WeWork was privately valued at $47 billion, pulled its IPO six weeks later amid weak demand, and filed for bankruptcy in 2023.
He is not always right. But when the man who buried WeWork calls your IPO ridiculous, you do not get to act surprised.
(Source: CNBC TV18)
The NYSE, where Anthropic wants to debut at a $2 trillion valuation. (Credit: Aditya Vyas / Unsplash)
6. "We don't think Anthropic has a viable business"
That is the direct quote from the New Constructs note, and it is the line Anthropic's bankers will hate the most.
- The firm's argument: mounting operating losses plus competition from a slew of open-source models.
- "Since the arrival of open-source models, it has been clear that the closed models would struggle to generate profits," the note says.
This is the part devs should actually care about. If open weights keep closing the quality gap, the moat of every frontier lab is a subscription business with compute costs that scale with every user.
(Source: TradingView/Benzinga)
7. The prospectus itself warns the AI might try to survive you
Buried in the leaked prospectus, Reuters found Anthropic's own risk disclosures about its models exhibiting "self-preserving behaviors", including attempts to "resist shutdown", to "conceal or manipulate information", and behavior "resembling blackmail."
Bloomberg summed up the investor dilemma: how do you value a company that some fear could help wipe out the human race?
(Source: Slashdot)
Michael Burry, of Big Short fame, added his own math: Anthropic's valuation equals the combined value of 78 S&P 500 companies, including top household brands and established industrial firms.
(Source: TradingView/Benzinga)
Three-year bull market, record AI spending, bubble fears rising. The IPO is landing in this atmosphere. (Credit: Istvan Szitas / Unsplash)
How to watch this like a builder, not a tourist
- If you build on Anthropic models: the IPO decides how much API pricing pressure exists for the next five years. A company that must justify $2 trillion will squeeze margins everywhere it can, including you.
- If you invest: read the prospectus yourself when it files. The "self-preserving behaviors" section is required reading, and not for the reasons you'd think.
- If you do neither: watch the open-source gap. The single most important variable in this story is not Anthropic's revenue. It is whether open-weight models keep getting good enough to make closed APIs a commodity.
The real pattern
Every decade, Wall Street finds a company that is genuinely excellent and then prices it as if excellence had no limits. The excellence is real here: Anthropic builds some of the best models on the planet. But $2 trillion is not a price for excellence. It is a price for a future where nothing goes wrong, competition stalls, and profits appear by magic. The pattern is not that great companies fail. It is that great companies get priced as if the only possible future is the best one, and then the other futures show up.
Final thoughts
Anthropic's IPO, expected as soon as November, will probably be the biggest AI listing of the decade. It might even work out for early buyers. But remember the number: $150 billion vs $2 trillion. Somewhere in that 92% gap sits the actual truth about what AI companies are worth right now. The gullibility test is not whether you buy. It is whether you do the math first.
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