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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score53

Fed financial stability report puts AI-related market risks in focusMachine translation

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A summary of the Fed’s financial stability report says 87% of market professionals polled by the New York Fed named AI as a financial risk, up from 50% in spring. It also says debt raised for AI infrastructure exceeded $680 billion by October, accounting for about 31% of investment-grade corporate borrowing.

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Translation
美联储发布金融稳定报告 > AI 现在是华尔街面临的首要金融风险。纽约联储调查的市场专业人士中,87% 提到了这一风险,高于春季的 50%。 > 美联储称,“市场对超级智能的热情”是股票估值如此之高的部分原因。 > 截至 10 月,为 AI 基础设施筹集的债务融资超过 6800 亿美元,约为 2023 年全年总额的 5 倍,约占投资级企业借款的 31%。 > 大型科技公司和芯片制造商还承担着超过 3 万亿美元的未来租赁义务和担保,因此它们对 AI 的实际风险敞口可能远大于其报告的债务。 > GPU 制造商为其售予 AI 公司的芯片价值提供担保,还经常投资于这些买家,从而形成“循环融资”。 > 美国最大的几家银行对大型科技公司、数据中心建设商及其融资载体的风险敞口接近 1 万亿美元。 > 超大规模云服务商的支出占 GDP 的比重可能很快超过 1990 年代电信业繁荣时期的水平。
Original

Fed releases financial stability report > AI is now the top financial risk for Wall Street. 87% of the market pros the New York Fed polled named it, up from 50% in spring. > The Fed says “market enthusiasm for super intelligence” is part of why stock valuations are so high. > Debt raised for AI infrastructure passed $680B by October. That’s about 5x all of 2023 and about 31% of investment-grade corporate borrowing. > Big tech and chipmakers also carry over $3T in future leases and guarantees, so their real AI exposure may be far larger than their reported debt. > GPU makers guarantee the value of the chips they sell to AI firms and often invest in those same buyers, which creates “circular financing.” > The largest US banks have close to $1T of exposure to big tech, data center builders and the vehicles that finance them. > Hyperscaler spending as a share of GDP may soon pass the 1990s telecom boom.

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