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Research Firm Calls Anthropic's IPO 'Unprecedented Test of Investor Gullibity'

https://www.cnbc.com/2026/10/07/anthropic-will-be-most-ridiculous-ipo-of-year-analyst-says.html
37•m463•3h ago

Comments

dude250711•33m ago
Maybe the portion of Anthropic that produces Opus/Sonnet can be spun out for us devs at a reasonable valuation?

Keep all the Mythos/Projects/etc. hype/feature-creep crap in some other entity and value that at $5 tn or something if you wish.

zshn•16m ago
This reminds me of all the people asking for AWS to be spun out of Amazon.
yorwba•11m ago
Anthropic's small models are almost certainly distilled from their larger ones. And their biggest training expense are going to be experimental models that aren't even intended for release, just to test out some idea.
sobiolite•12m ago
New Constructs takes a similar position on all mega IPOs. Sometimes they're right, but sometimes they're wrong. For example, they insisted Uber's IPO valuation was too high due to unsustainable losses, hidden liabilities, etc. Initially they were proved right when the post-IPO stock price plummeted, but in the long term Uber has performed well, become very profitable, and now trades well above its IPO valuation.

I'm expecting a similar story to play out with Anthropic: The stock price will come down significantly after the IPO, resulting in lots of headlines about the AI bubble bursting. But in the long term it'll climb up again and investors who stick around will do very well.

solyin•7m ago
Yeah. Look at SpaceX. Dropped to $108 from an Ipo price of $135, but it's currently at $162 which is... fine?
seanhunter•7m ago
“Now trades well above the IPO valuation” does not mean something would have been a good investment at the IPO price given opportunity cost and the time value of money. Additionally, the current price could equally not represent good value.
anon373839•6m ago
I don't see how Anthropic can become profitable enough to justify its investments unless they can either stop training models ("Pace the Frontier!!1"), or magically eliminate open source competition so that their volume x margin on inference is high enough to dwarf the training costs.

For the IPO, I assume they're going to try to get everyone to focus on inference - which is profitable in isolation. But I don't know how they'll distract the market from the other half of the equation.

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Research Firm Calls Anthropic's IPO 'Unprecedented Test of Investor Gullibity'

https://www.cnbc.com/2026/10/07/anthropic-will-be-most-ridiculous-ipo-of-year-analyst-says.html
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