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AI 支出热潮出现裂痕:四大科技公司 Q3 自由现金流告负引发市场担忧

原标题:Cracks are emerging in the AI spending boom

Alphabet、Amazon、Meta、Microsoft 今年资本开支合计超 7400 亿美元,但投资者担忧负自由现金流与债务风险,上周五 Nasdaq 下跌 2.9%,Nvidia 跌 4%,Alphabet 此前单日暴跌 12%,蒸发 5000 亿美元市值。Alphabet Q3 自由现金流为 -91 亿美元,AI Mode 蚕食搜索广告致其增速放缓至 12%;Amazon 过去 12 个月自由现金流为 -424 亿美元,Meta Q3 为 -21 亿美元,仅 Microsoft 保持 186 亿美元正自由现金流;四家公司加 Oracle 今年合计举债 3260 亿美元,是去年的三倍,Anthropic 的 IPO 定价与融资前景也可能因此复杂化。

为什么值得看

文章汇总四大科技公司三季报现金流与资本开支数字,可帮助读者了解市场对 AI 基建投资的担忧具体落在何处。

阅读原文 ↗10月31日 AI 日报

本页的摘要、推荐理由与解读出自 AIsa Studio 的 AI 风向智能体,原文版权归原作者所有。

深度解读

发生了什么

科技巨头仍在加码 AI 基础设施投入,但投资者的态度正在转变。过去两周,Alphabet、Amazon、Meta 和 Microsoft 相继公布了今年超过 7400 亿美元的资本支出计划,市场将其解读为 AI 基础设施(数据中心与芯片)开支。在 AI 热潮早期,这类大规模支出通常被投资者视为对技术增长潜力的信心信号,但随着四季度到来,这种热情正在让位于对负自由现金流、债务攀升以及巨额投入能否产生足够回报的担忧。

市场焦虑在上周五集中爆发:纳斯达克下跌 2.9%,芯片股也遭重挫——Nvidia 跌 4%,Broadcom 跌超 5%,Qualcomm 跌 11%。Alphabet 此前一天(周四)暴跌 12%,创其有史以来最差单日表现,市值蒸发 5000 亿美元,随后继续下跌。

关键细节

  • Alphabet:第三季度自由现金流为 -91 亿美元,连续第二个季度为负;季度资本支出增至 514 亿美元,预计今年支出最高达 2050 亿美元,且 2027 年还将继续上升。
  • Amazon:过去 12 个月自由现金流为 -424 亿美元,上年同期为 +148 亿美元;公司预计今年资本支出达 2200 亿美元。尽管 AWS 营收增长 39%,财报发布后股价仍下跌 7%。
  • Meta:第三季度自由现金流为 -21 亿美元,资本支出超过经营现金流;全年资本支出指引最高 1450 亿美元。公司承认其免费个人 AI 助理 Muse 「运行非常耗费算力」(CEO 扎克伯格语),但广告收入增长了 26%,股价上周仍下跌 10%。
  • Microsoft:四家中唯一的例外,最新季度录得 +186 亿美元正自由现金流,资本支出 452 亿美元,低于其预期的 500 亿美元。Microsoft 强调这并非有意缩减 AI 支出,而是第三方供应商产能延迟所致,这反而导致向其出租 AI 算力的规模较小公司股价下跌。
  • 融资结构:根据 S&P Global Market Intelligence 的数据,Microsoft、Alphabet、Amazon、Meta 和 Oracle 在 2026 年合计举债 3260 亿美元,是去年的三倍——AI 基础设施的钱不只来自利润,还大量来自股票和债券发行。

值得注意的是一个更深层的问题:曾经靠核心业务坐拥充沛自由现金流的公司,如今正受到 AI 对这些业务经济性的冲击。Alphabet 是最典型的例子——Google 直接嵌入搜索的 AI 聊天功能 AI Mode 大获成功,却反过来蚕食公司的摇钱树:约占其总收入一半的搜索广告业务增速放缓至 12%,为五个季度以来最弱。Google 陷入了两难:它正花费数十亿投入可能削弱其搜索业务(而该业务正是其资金来源)的 AI 技术。

为什么重要

需求端依然强劲——Google、Amazon 和 Microsoft 的云业务都在增长,投资者真正不安的是满足这些需求所需的成本。当 AI 支出开始侵蚀核心业务的现金流,市场开始质疑巨额资本支出能否转化为足够回报。

这种不确定性还可能波及 AI 公司的融资路径。Anthropic 本周已提交上市申请,其未来增长依赖获取海量算力。据《金融时报》周五报道,Blackstone 已警告投资者,Anthropic 上市后可能无法获得投资级评级,这意味着它可能更加依赖超大规模云厂商和第三方来资助其基础设施雄心。

对谁有影响

  • 大型科技公司及其股东:负自由现金流、创纪录的资本支出和股价重挫直接冲击其估值逻辑。
  • 芯片公司:Nvidia、Broadcom、Qualcomm 上周五的下跌显示焦虑已传导至 AI 供应链。
  • 出租 AI 算力的规模较小公司:Microsoft 将低支出归因于第三方产能延迟,导致这些公司的股价下滑。
  • 准备上市的 AI 公司(如 Anthropic):融资环境收紧叠加投资级评级的不确定性,可能迫使其更依赖超大规模云厂商和第三方基础设施。

整体而言,市场对 AI 支出的态度正从奖励转为审视,这一转变同时作用于巨头、供应商和下游 AI 公司的融资环境。

全文翻译

随着大型科技公司加倍投入,投资者对人工智能基础设施支出的担忧日益加剧。

在过去两周里,Alphabet、Amazon、Meta 和 Microsoft 公布了今年资本支出计划超过 7400 亿美元,华尔街将其解读为包括数据中心和芯片在内的人工智能基础设施支出。

在人工智能繁荣的早期,投资者大多奖励此类巨额支出,视其为对该技术增长潜力的信心标志。但随着我们进入第四季度,这种热情似乎正让位于对自由现金流为负(支出多于收入)、债务累积以及这些巨额投资是否最终能产生足够回报的担忧。

焦虑情绪在周五蔓延至整个市场。纳斯达克指数下跌 2.9%,芯片股也遭受重创:英伟达下跌 4%,博通下跌超过 5%,高通下跌 11%。Alphabet 周四暴跌 12%,创下其历史最差单日表现,抹去了 5000 亿美元的市场价值,周五再次下跌。

部分担忧在于,那些原本核心业务拥有充裕自由现金流的公司,正受到人工智能对其业务经济性的威胁。Alphabet 本周提供了最清晰的例子。谷歌母公司第三季度报告自由现金流为 -91 亿美元,连续第二个季度亏损,尽管季度资本支出增至 514 亿美元。Alphabet 预计今年支出高达 2050 亿美元,并预计 2027 年支出将继续上升。

与此同时,AI Mode —— 直接内置于搜索中的谷歌 AI 驱动聊天机器人功能 —— 的巨大成功正在侵蚀公司的赚钱机器。谷歌搜索广告业务约占其收入的一半,其增速放缓至 12%,为五个季度以来的最慢增速。这让谷歌走钢丝:它正在花费数十亿美元开发可能破坏为其带来收入的搜索业务的 AI 技术。

Amazon 的情况类似,该公司报告过去 12 个月自由现金流为 -424 亿美元,而前一年为正自由现金流 148 亿美元。公司表示预计今年资本支出将达到 2200 亿美元。尽管其云业务 AWS 的收入增长了 39%,但在周四公布财报后,亚马逊股价仍暴跌 7%。

Meta 也在消耗现金,第三季度报告自由现金流为 -21 亿美元,因为资本支出超过了运营现金流。其指引显示今年资本支出高达 1450 亿美元。公司指出,其新的免费个人 AI 助手 Muse 是个“无底洞”(首席执行官马克·扎克伯格曾表示,“运行它非常耗费算力”)。但广告收入增长了 26%。尽管如此,没有任何好消息能阻止 Meta 上周股价下跌 10%。

Microsoft 是唯一一个在自由现金流方面例外的公司——其在最新季度录得 186 亿美元的正自由现金流,资本支出为 452 亿美元,低于其预期的 500 亿美元。微软表示,这并非有意减少 AI 支出,而是归咎于第三方提供商产能延迟的结果。因此,出租 AI 算力的较小公司股价下跌。

值得注意的是,支付所有这些人工智能基础设施的资金不仅仅来自大型科技公司的利润。它也体现在股票和债券销售中。根据标普全球市场情报(S&P Global Market Intelligence),Microsoft、Alphabet、Amazon、Meta 和 Oracle 在 2026 年共筹集了$326 billion债务,是去年的三倍。

对 AI 算力的需求依然强劲。Google、Amazon 和 Microsoft 的云业务均实现增长。但投资者对满足该需求的成本感到恐慌。

这些浑浊的水域可能会使 Anthropic 备受期待的首次公开募股(IPO)复杂化。这家 AI 公司本周早些时候提交了上市申请,其未来增长取决于获得大量算力。《金融时报》报道称,黑石集团(Blackstone)已警告投资者,该公司可能在 IPO 后无法获得投资级评级,这意味着它可能最终更加依赖超大规模企业和第三方来为其基础设施雄心提供资金。

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Investors are getting nervous about AI infrastructure spending just as the Big Tech companies double down.

Over the past two weeks, Alphabet, Amazon, Meta, and Microsoft have outlined plans to spend more than $740 billion on capital expenditures this year, which Wall Street is reading as AI infrastructure spending, including data centers and chips.

Earlier in the AI boom, investors largely rewarded such big outlays, viewing them as a sign of confidence in the technology’s growth potential. But as we enter the fourth quarter, that enthusiasm seems to be giving way to concerns about negative free cash flow (spending more cash than a company brings in), mounting debt, and whether these enormous investments will ever generate enough returns.

The anxiety spilled across the market on Friday. The Nasdaq fell 2.9%, and chip stocks took a drubbing, too: Nvidia dropped 4%, Broadcom more than 5%, and Qualcomm 11%. Alphabet, which plummeted 12% on Thursday, its worst day on record, wiping out $500 billion in market value, fell again.

A big part of the concern is that companies that used to have overflowing free cash flow from their core businesses are getting hit as AI threatens the economics of those businesses. Alphabet provided the clearest example of that this week. Google’s parent company reported negative free cash flow of $9.1 billion in the third quarter, its second consecutive quarter in the red, even as quarterly capex grew to $51.4 billion. Alphabet expects to spend up to $205 billion this year, and expects that spending to keep rising in 2027.

Meanwhile, the wild success of AI Mode — Google’s AI-powered chatbot feature built directly into Search — is eating into the company’s money-maker. Google’s Search advertising business, which makes up roughly half of its revenue, saw growth slow to 12%, its weakest pace in five quarters. That leaves Google walking a tightrope. It’s spending billions on the AI technology that could undermine the search business that pays it.

Amazon is in a similar boat after reporting negative free cash flow of $42.4 billion over the past 12 months, compared with $14.8 billion in positive free cash flow the year before. The company says it expects to spend $220 billion in capex this year. Even though revenue at its cloud business, AWS, grew 39%, Amazon’s stock tumbled 7% after it reported earnings Thursday.

Meta is also burning cash, reporting negative free cash flow of $2.1 billion in the third quarter as capex outpaced its operating cash. It’s guiding to as much as $145 billion in capex this year. The company noted that Muse, its new free personal AI agent, is a bit of a money pit (it’s “very compute-intensive to run,” CEO Mark Zuckerberg has said). But ad revenue grew 26%. Still, no amount of good news saved Meta from taking a 10% hit on its stock last week.

Microsoft was the only exception when it came to free cash flow — it recorded $18.6 billion in positive free cash flow in its latest quarter, with spending on capex at $45.2 billion, less than the $50 billion it projected. Microsoft said that wasn’t an intentional pullback from AI spending, blaming delays in capacity from third-party providers. As a result, shares of smaller companies that rent out AI computing power sank.

It’s worth noting that the money to pay for all of this AI infrastructure isn’t just coming from the Big Tech companies’ profits. It’s also showing up in stock and bond sales. According to S&P Global Market Intelligence, Microsoft, Alphabet, Amazon, Meta, and Oracle raised a combined $326 billion in debt in 2026, triple the amount raised last year.

Demand for AI compute remains strong. Google, Amazon, and Microsoft all saw gains in their cloud businesses. But investors are getting spooked by the costs of meeting that demand.

These muddied waters could complicate Anthropic’s highly anticipated IPO. The AI company filed to go public earlier this week, and its future growth depends on securing enormous amounts of compute. Financial Times reported Friday that Blackstone has warned investors the company might not qualify for an investment-grade rating after its IPO, meaning it might end up being more reliant on the hyperscalers and third-parties to fund its infrastructure ambitions.

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Rebecca Bellan is a senior reporter at TechCrunch where she covers the business, policy, and emerging trends shaping artificial intelligence. Her work has also appeared in Forbes, Bloomberg, The Atlantic, The Daily Beast, and other publications.

You can contact or verify outreach from Rebecca by emailing [email protected] or via encrypted message at rebeccabellan.491 on Signal.

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