Key Takeaways
- • Wall Street sold off broadly on Thursday, with the market falling as much as 3.8% and individual indices down as much as 6% in intraday trading, as liquidation of AI infrastructure stocks intensified (per Investing.com).
- • Anthropic reportedly targets an IPO of roughly $100 billion at a valuation of $1.5 trillion or more before Thanksgiving, after filing on October 26; no formal offering terms have been set.
- • Anthropic's amended regulatory filing (November 2) disclosed Q3 revenue of about $16.96 billion and a net loss of $23.29 billion, with roughly $895.4 billion in aggregate purchase commitments and leases tied mainly to computing infrastructure.
- • Vital Knowledge Media warned that the selloff in data-center "pick-and-shovel" stocks raises serious doubts about whether Anthropic can complete its offering on the discussed terms.
- • Investors are reducing risk rather than rotating into other sectors, and Walleye Capital's plan to return capital to clients adds to defensive sentiment.
Summary
Wall Street suffered a broad selloff on Thursday, with the market falling as much as 3.8% and some measures dropping as much as 6%, according to Investing.com. The decline was driven by an intensifying liquidation of artificial intelligence and data-center stocks, including semiconductor makers, data-center operators, power providers and neocloud companies. Investors who had bought dips in October are now stepping aside or exiting positions, and the deterioration accelerated Wednesday after Bloomberg reported growing concerns at Microsoft about the neocloud industry.
The selling has raised questions about how AI infrastructure will be financed. Neocloud operators have borrowed heavily and committed large sums to build capacity, and delays, regulatory obstacles and higher costs have complicated their business models. Market participants are increasingly asking not only how much AI infrastructure is needed, but how quickly it can be delivered, who will fund it and whether the economics justify the spending.
Anthropic's planned IPO has become a critical test. The company filed on October 26 and is reportedly targeting a listing before Thanksgiving that could raise about $100 billion at a valuation of $1.5 trillion or more, though formal terms have not been established. Vital Knowledge Media wrote on X that the liquidation raises "serious doubts" about that timing and valuation, and warned that a struggling offering could further unsettle investors about AI capital expenditure. Anthropic's amended filing of November 2 reported third-quarter revenue of about $16.96 billion, up more than twelvefold year over year, alongside a net loss of $23.29 billion. The company also disclosed roughly $895.4 billion in aggregate purchase commitments and lease agreements, with about $447.5 billion expected to be incurred by the end of 2030 and nearly $70 billion due within 12 months after September 30. Anthropic warned that if third-party financing for infrastructure providers becomes unavailable or more expensive, contracted capacity could be delayed, repriced, reduced or not delivered.
The risk-off move has been compounded by concerns about leveraged investors. Bloomberg reported Thursday that hedge fund Walleye Capital plans to return part of its capital to clients, according to a client letter. Investing.com noted that this does not by itself indicate distress or a forced liquidation, but it adds to concerns about crowded positions, leverage and liquidity.
Unlike Wednesday's selling, which was concentrated in infrastructure names, Thursday's decline spread broadly across markets, with investors reducing exposure rather than rotating into other sectors. With third-quarter earnings season nearing its end, few corporate catalysts are available to offset the pressure, and the market is demanding evidence that AI spending will generate returns.
The selling has raised questions about how AI infrastructure will be financed. Neocloud operators have borrowed heavily and committed large sums to build capacity, and delays, regulatory obstacles and higher costs have complicated their business models. Market participants are increasingly asking not only how much AI infrastructure is needed, but how quickly it can be delivered, who will fund it and whether the economics justify the spending.
Anthropic's planned IPO has become a critical test. The company filed on October 26 and is reportedly targeting a listing before Thanksgiving that could raise about $100 billion at a valuation of $1.5 trillion or more, though formal terms have not been established. Vital Knowledge Media wrote on X that the liquidation raises "serious doubts" about that timing and valuation, and warned that a struggling offering could further unsettle investors about AI capital expenditure. Anthropic's amended filing of November 2 reported third-quarter revenue of about $16.96 billion, up more than twelvefold year over year, alongside a net loss of $23.29 billion. The company also disclosed roughly $895.4 billion in aggregate purchase commitments and lease agreements, with about $447.5 billion expected to be incurred by the end of 2030 and nearly $70 billion due within 12 months after September 30. Anthropic warned that if third-party financing for infrastructure providers becomes unavailable or more expensive, contracted capacity could be delayed, repriced, reduced or not delivered.
The risk-off move has been compounded by concerns about leveraged investors. Bloomberg reported Thursday that hedge fund Walleye Capital plans to return part of its capital to clients, according to a client letter. Investing.com noted that this does not by itself indicate distress or a forced liquidation, but it adds to concerns about crowded positions, leverage and liquidity.
Unlike Wednesday's selling, which was concentrated in infrastructure names, Thursday's decline spread broadly across markets, with investors reducing exposure rather than rotating into other sectors. With third-quarter earnings season nearing its end, few corporate catalysts are available to offset the pressure, and the market is demanding evidence that AI spending will generate returns.
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