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Morning Edition · Wednesday, November 11, 2026Published at 12:05 AM EST · New York
Anthropic's Bankers Prepare to Raise the IPO Valuation to $1.5 Trillion or More
Investor demand is pushing up the listing price even as hedge funds report a poor month and struggle to find returns outside artificial intelligence.
Bankers for Anthropic, the developer of the Claude models, are preparing to raise the valuation for its initial public offering (IPO) to $1.5 trillion or more after strong investor demand, the Financial Times reported. Reporting earlier this month pointed the other way. On November 6, CNBC quoted an investor who called $1.5 trillion "a stretch" and saw $1 trillion to $1.25 trillion as more likely. Reuters described a figure near $1.5 trillion as a step down from about $2 trillion (Let's Data Science summary, FourWeekMBA).
Morgan Stanley and Goldman Sachs lead the deal. The Wall Street Journal has reported a debut in the week of November 16, raising $100 billion or more (The Next Web). SpaceX's June listing raised $85.7 billion at a $1.77 trillion valuation. No official price range for Anthropic has been published.
The demand for Anthropic shares comes from a market that is concentrated in one theme. The Economist describes a poor month for hedge funds and their difficulty in investing in anything other than artificial intelligence. The two-day fall in Nvidia shows the risk of that concentration. A single governance scandal at the sector's main chip supplier cut the Nasdaq on Tuesday. On the same day, Treasury yields neared 5% and pushed up the discount rate applied to long-dated earnings.
Part of a tracked trend
AI Spending Meets Funding Limits
As AI capital spending shifts from internal cash flow to debt and private funding, each new spending increase will be answered with lower supplier valuations and higher financing costs until spending growth slows to what measured returns can support.
What this means
A $100 billion offering draws cash from other technology holdings. Investors usually sell existing positions to fund the purchase, which explains why large listings tend to coincide with weakness in comparable stocks. The exposure falls on suppliers and listed peers whose valuations are set relative to the newcomer. It also falls on lenders financing data-center construction, because a high listing price will be read as permission to borrow more. The consensus treats strong order books as evidence of value. In a market where funds cannot find returns elsewhere, order books also measure a lack of alternatives. The precedent is the cluster of large technology listings in early 2000, which drew in cash just before valuations across the sector fell. The likelier outcome is that the deal prices at or above the reported range and trades well in its first weeks, as long as 10-year yields stay near 5% rather than rising further. Its success would then encourage more debt-funded capital spending across the sector within months. A sharp rise in long yields during the offering, or a cut in the deal size, would prove this read wrong.
What to watch
- The final price range and deal size when the order book closes. A cut from the reported $100 billion would show that demand is thinner than the bankers suggest.
- Moves in the shares of listed artificial-intelligence suppliers during the offering week. Falls would show investors selling them to fund the new shares.
- New bond and private-credit deals for data centers after the listing. A wave of them would show the valuation being used to justify more borrowing.
Observations to monitor, not financial advice.
Synthesized from: Financial Times Technology · The Economist Finance
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