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Citadel Securities' Shah Says AI Trade Has No Room for Error

3 reports1 discussions4 story updatesUpdated Oct 27 20:24

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Nohshad Shah, Head of Fixed Income Sales for Europe, the Middle East and Africa at Citadel Securities, said in a report that the market has poured enormous amounts into the AI trade, leaving almost no room for error. He noted that the recent sharp selloff in technology stocks shows investors are growing more cautious about whether AI's massive capital expenditure can translate into sufficient profits, and that capex has become a "two-way risk": cutting spending would raise questions about the sustainability of the investment cycle, while continuing to add spending raises doubts about financing capacity, execution and returns. He also mentioned that tariff policy, the effects of fiscal stimulus and elevated energy prices have significantly pushed up the financing and operating costs of AI investment. A subsequent Citadel Securities report used Meta as an example: its third-quarter revenue grew 26% year on year, but capital expenditure reached $34.9 billion, exceeding operating cash flow of $32.8 billion in the same period, and quarterly free cash flow turned negative at $2.1 billion; the report also cited Ramp data showing that token usage continued to grow while related spending was nearly flat from August to September, and noted that DeepSeek's release of DeepInfer illustrates how software improvements can raise the effective output of existing hardware.

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Citadel Securities Report: The AI Narrative Is Shaking, and Risks Masked by Growth Are Emerging

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  1. Citadel Securities' Shah Says AI Trade Has No Room for Error

    Source:Wallstreetcn

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Oct 27

  1. Wallstreetcn

    Citadel Securities Report: The AI Narrative Is Shaking, and Risks Masked by Growth Are Emerging

    Citadel Securities warned in its latest report that as the logic of the AI trade is being shaken, the market's margin for error has become extremely limited, and higher interest rates make the question of returns on AI infrastructure investment even more urgent. The report cites Meta as an example: its third-quarter revenue grew 26% year over year, but capital expenditure reached $34.9 billion, exceeding operating cash flow of $32.8 billion in the same period, and quarterly free cash flow turned negative at $2.1 billion. The report also mentions that Ramp data show token usage continued to grow while related spending was nearly flat from August to September, and that DeepSeek's release of DeepInfer indicates software improvements can boost the effective output of existing hardware, adding uncertainty to demand for incremental capacity.

  2. Wallstreetcn

    Citadel Securities: There Is No Room for Error in AI Trades; Capital Expenditure Has Become a "Two-Way Risk"

    Nohshad Shah, Head of Fixed Income Sales for EMEA at Citadel Securities, noted in a report that the recent sharp selloff in tech stocks shows investors are growing more cautious about whether massive AI capital expenditure can translate into sufficient profits, and that capital expenditure has become a "two-way risk": cutting spending would raise questions about the sustainability of the investment cycle, while continuing to add spending brings doubts about financing capacity, execution, and returns. He also mentioned that tariff policies, the effects of fiscal stimulus, and elevated energy prices have significantly raised the financing and operating costs of AI investment.

  3. East Money

    Citadel Securities: AI Trade Has Reached a Point of "No Margin for Error"

    Nohshad Shah, Head of Fixed Income Sales for EMEA at Citadel Securities, warned in a research note that the scale of investment in the AI trade has grown so large that there is almost no room for error, and that once the massive spending fails to generate returns, the risks will be hard to bear. He noted that the tech stock selloff shows investors are increasingly scrutinizing whether AI spending can generate sufficient profits.

  4. East MoneyRelated discussion

    East Money joined this discussion

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