Anthropic’s initial public offering has attracted investor orders several times greater than the number of shares available, according to Bloomberg, signaling strong institutional demand for one of the largest planned stock market listings in history.
The developer of the Claude artificial intelligence platform began marketing its IPO this week, offering 825 million Class A shares at an expected price of $70 to $78 each.
At the upper end of the proposed range, the public offering could raise approximately $64.4 billion. Combined with a separate $26 billion private placement involving major technology companies, the total transaction could reach approximately $90.4 billion.
The proposed listing values Anthropic at approximately $1.4 trillion on a fully diluted basis, although bankers are reportedly considering a higher valuation.
Institutional Investors Drive IPO Demand
According to Bloomberg, citing people familiar with the transaction, large preliminary orders from institutional investors have been a major factor behind the offering’s reported oversubscription.
The level of demand suggests that investors remain interested in leading artificial intelligence companies despite recent volatility in technology stocks and concerns about the industry’s infrastructure spending.
However, the exact oversubscription multiple has not been disclosed, and preliminary indications of interest do not guarantee final purchases.
The offering’s price, valuation and allocation of shares remain subject to change.
Goldman Sachs and Morgan Stanley are leading the IPO, with Anthropic seeking to list on the Nasdaq under the ticker symbol ANT.
Dario Amodei and Jamie Dimon Plan Investor Livestream
Anthropic CEO Dario Amodei is expected to participate in a livestream with JPMorgan Chase CEO Jamie Dimon on Friday, November 13, according to Bloomberg.
The event is part of the company’s efforts to engage potential investors ahead of its planned stock market debut.
Separately, Amodei has made ambitious predictions about artificial intelligence’s potential to accelerate scientific and medical research, including the possibility of substantial progress against cancer and other major diseases within the next decade.
Those statements represent expectations about future technological developments rather than established medical outcomes.
Amazon and Google Could See Significant Investment Gains
Anthropic’s planned IPO could also substantially increase the paper value of investments made by Amazon and Alphabet’s Google.
According to Reuters calculations based on Anthropic’s offering documents, Amazon’s approximately $18 billion in investments and financing arrangements could be associated with a stake worth around $272 billion at the top of the proposed offering range.
Google’s approximately $33.3 billion in investments and financing arrangements could correspond to a stake valued at about $139 billion.
Together, the two companies’ holdings could be worth approximately $411 billion under that pricing scenario.
These figures represent estimated market values, not realized profits. They also reflect investments and financing arrangements made at different stages of Anthropic’s development.
The relationship between Anthropic and its technology partners extends beyond equity ownership. Amazon and Google also supply cloud computing infrastructure used to develop and operate Anthropic’s AI models.
IPO Could Become a Major Test for AI Valuations
Anthropic’s planned listing follows rapid revenue growth, with the company reporting approximately $16.9 billion in third-quarter sales, compared with $11.5 billion in the previous quarter.
The company also reported a quarterly operating loss of approximately $567 million, illustrating the substantial investment required to support its expansion.
The IPO is expected to be priced around November 18, with trading potentially beginning November 19, although the schedule has not been finalized.
The transaction will provide a significant public-market test of investor demand for artificial intelligence developers, particularly as concerns persist over infrastructure costs, competition and the long-term profitability of AI services.
