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A bearish Seeking Alpha analyst takes Anthropic's IPO 'within weeks' as a given and calls it the epicenter of the AI bubble

🕒 Published on Zendoric: September 10, 2026 · 00:31

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An independent investor on Seeking Alpha, with a declared short position in QQQ and PSQ, argues that Anthropic will go public 'in the coming weeks' and that anyone buying shares at the IPO price will be disappointed over the long run. This is the thesis of an analyst with a bearish bias, not a fact confirmed by the company.

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By Zendoric · September 10, 2026.

A Seeking Alpha contributor writing under the name Rational Techne published an opinion piece on September 9 with a blunt headline: Anthropic is "the epicenter of the AI bubble." His core argument, as the text itself sets out, is that the company will complete its stock market listing "in the coming weeks" and that investors who buy ANTHRO at initial public offering (IPO, the first sale of a private company's shares to the public) prices will end up disappointed over the long run. It is important to stress that this is an outside analyst's opinion published on a third-party contributor platform, not an announcement by Anthropic or a confirmation of any timetable by the company: the author himself discloses short positions in QQQ (the ETF that tracks the Nasdaq 100) and in PSQ (a fund that bets against that same index), meaning he makes money if listed tech falls. That directional bias does not invalidate his argument, but it does mean it should be read for what it is: an investment thesis with a vested interest, not a verified fact.

The original article, as it appears in the available excerpt, raises an interesting piece of context: much of the capital that has fueled the current AI investment cycle has flowed toward companies that have stayed private far longer than usual, away from the daily scrutiny of public markets. OpenAI and Anthropic are the most frequently cited examples in the sector: successive multibillion-dollar rounds, valuations revised upward every few months, and no market price that anyone can question in real time. A hypothetical Anthropic IPO would change that overnight, exposing to the validation (or punishment) of the open market a valuation built until now almost exclusively through private negotiations among venture capital funds, asset managers and the company itself.

It is worth separating two discussions that the article's headline blends together, as tends to happen in the "AI bubble" debate: one is whether current valuations of the leading language model companies are inflated relative to their present revenues and cash flows; the other, quite different, is whether the underlying technology genuinely has transformative power. The comparison with the dot-com bubble that the article itself makes is revealing in both directions: that financial bubble was real and dealt harsh punishment to shareholders who bought high, but the internet underpinning it was also real and ended up remaking the entire economy. Both things can be true at once, and in fact usually are with any disruptive technology.

Our reading, with the caution demanded by material as brief as this —the rest of the analysis sits behind Seeking Alpha's paywall— is that pieces like this one foreshadow a debate that will intensify as (if confirmed) the major AI labs move toward the public markets. In the short term it is entirely plausible that private valuations in the sector are overheated, and that an IPO by a company like Anthropic would serve as a painful reality check for investors who come in late and expensive: it is exactly the kind of adjustment our editorial line does not hide when it talks about a hard transition. But that potential market letdown, if it comes, says nothing about whether Anthropic's models will keep improving or whether this technology brings us closer to a stage of greater abundance and less disease in the medium term. That a stock disappoints whoever bought it expensive is a market risk; that the science behind it stops advancing is an entirely different question, and so far the evidence suggests the latter keeps moving forward even when the former corrects sharply.

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