Anthropic's $2 Trillion IPO Looms Amid Valuation Surge and Infrastructure Stock Buzz
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Anthropic is expected to file its IPO prospectus in late September, with Reuters reporting the roadshow has slipped to mid‑October. The widely quoted $2 trillion figure comes from investors rather than the company: per the Financial Times, Anthropic executives had not fixed a valuation target even privately. The company last raised $65 billion at a $965 billion post‑money valuation, ahead of OpenAI's $852 billion mark. Morgan Stanley is in line for the lead‑left role and Goldman Sachs as stabilization agent.
Anthropic is expected to file its IPO prospectus in late September, and Reuters reporting carried by CNBC says the roadshow and marketing have slipped to mid‑October, pushing a possible listing later than earlier reports suggested . The frequently quoted $2 trillion valuation needs a careful label: per the Financial Times, that number reflects what investors expect, and senior Anthropic executives had not fixed a valuation target for the offering even in private conversations.
What is firmly established is the last private round. Anthropic raised $65 billion at a post‑money valuation of $965 billion, which put it ahead of OpenAI, last valued at $852 billion post‑money in March. Both companies are private, so this is a valuation comparison rather than a market‑capitalization one, a distinction that matters when the numbers are this large and this negotiated.
On the syndicate, Morgan Stanley is in position to secure the lead‑left role and Goldman Sachs is expected to serve as stabilization agent, with JPMorgan, Citigroup and Barclays expected to receive roles after providing debt financing. That structure is the clearest signal so far that the deal is being built for institutional scale rather than tested for appetite.
The secondary read is in AI infrastructure. Astera Labs, which sells the connectivity silicon that moves data between CPUs, GPUs, memory and networking gear, Modine, whose Airedale business builds data‑center cooling, and Flex, which manufactures the systems themselves, are all being pitched as beneficiaries of the same buildout . Morningstar's counterpoint is worth carrying alongside that: the business models for making money from AI remain untested and are changing quickly, and the firm flags AI‑safety governance disclosure and data‑center opposition as live risks for anyone underwriting this valuation. Watch the prospectus itself for the first hard revenue figures, and watch whether the mid‑October timing holds.
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