AI lab is targeting a near-$1 trillion valuation in what would rank among the largest US listings on record
Briefing
Rivian's $66 billion IPO, then the sixth-largest in US history, priced at peak EV sentiment and fell more than 80% within 18 months. The precedent is mechanically relevant: near-record valuations at IPO that rely on sector narrative rather than earnings multiples face severe post-listing multiple compression when sentiment shifts.
WeWork withdrew its IPO after investor roadshows exposed a valuation gap between the $47 billion private mark and institutional willingness to pay, triggering a governance and liquidity crisis. The transmission channel is direct: AI lab valuations set in private rounds by strategic investors may not clear at scale in public book-building.
Facebook's $104 billion IPO, the largest technology listing at that time, saw shares fall below issue price within days as institutional buyers balked at the growth-to-valuation ratio. It took over a year for the stock to recover its IPO price, a precedent for how benchmark-setting AI listings could trade post-debut.

Goldman Sachs and JPMorgan both flagged more large AI deals in the pipeline after record quarters driven by AI-related financings, directly positioning both banks as the most likely underwriters for an Anthropic listing of this scale.

SpaceX shares sitting just $1 above their $135 IPO price after shedding over $800 billion from peak creates a live adverse reference point for any near-trillion-dollar technology listing attempting to attract the same institutional buyer base in the same market window.

SK Hynix's $26.5 billion US listing and subsequent 15% single-session collapse in Seoul demonstrated that even oversubscribed AI-linked equity offerings face violent post-listing corrections when institutional appetite proves shallower than book size implies, a directly relevant liquidity test for an Anthropic deal an order of magnitude larger.
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24 hours ago