· 供应链分析

超大规模云厂商资本支出强劲,计算资源稀缺,AI抛售被夸大。

涉及标的:

相关概念: AI 资本支出新云算力 Neoclouds

中文翻译

以下是来自 $META 和 $MSFT 财报电话会议的一些要点: 微软: - 尽管资本支出增加,预计2027年将实现自由现金流(FCF)转正(这对由运营收入资助的AI建设极为有利) - “自由现金流为196亿美元,反映了更高的资本支出” - 季度资本支出为410亿美元,其中约2/3为“短期资产,主要是CPU和GPU” - 预计下一季度资本支出将超过500亿美元 - 资本支出指引约为1750亿美元,2027年资本支出大致相同。支出计划不变且符合预期。 - “将数据中心的预计使用寿命从15年延长至25年” - “我们将成为首批部署基于 $AMD Helios 和 $NVDA Vera Rubin 的下一代机架级AI基础设施的云提供商之一” - “客户需求持续超过可用容量” Meta: - 资本支出1300-1450亿美元(范围收窄),此前为1250-1450亿美元。 - Meta 收到的报价比其支付价格有“显著溢价”(计算资源稀缺,对 $IREN / $NBIS 等新云厂商有利) - 预计大部分计算资源(如埃尔帕索的1GW数据中心)将用于开发内部模型。 - Meta 在其核心业务中有多个投资回报率(ROI)为正的额外计算用途(内部使用,非Meta Compute) - “最后,我们认为整体行业产能将在可预见的未来保持紧张” - “历史上行业对AI采用浪潮的建设不足,使得现有产能,包括我们自己的,极具价值” - Susan Li 总结: - $MSFT 和 $GOOGL 主要在保持自由现金流为正或通过运营收入的同时,维持AI资本支出建设。 - $META 指出可用计算资源至少到2027年都远低于需求。$MSFT 也指出计算需求远超供应。 - 三大超大规模云服务商的资本支出基本与Google上调资本支出数字一致。 现在的AI抛售似乎被极度夸大了,超大规模云服务商继续按预期进行资本支出(微软保持自由现金流为正)甚至像 $GOOGL 那样上调。 计算资源稀缺在所有超大规模云服务商的财报电话会议中可见。

英文原文

Just some takeaways from $META | $MSFT earnings calls: Microsoft: - Expected to be FCF positive in 2027, despite the increase in capex (extremely positive for AI buildout that it's funded by operating income) - "Free cash flow was $19.6 billion, reflecting higher capital expenditures" - Quartely capex was $41B, roughly 2/3rds were "short lived assets, primarily CPUs and GPUs" - Expects capex spend will be over $50 billion for next quarter - Capex Guidance at ~$175 billion and 2027 capex roughly the same. Spending plans unchanged and in line. - "Extending the estimated useful life of our data centers from 15 to 25 years" - "We will be among the first cloud providers to deploy next generation rack-scale AI infrastructure based on $AMD Helios and $NVDA Vera Rubin" - "Customer demand continues to exceed available capacity" Meta: - Capex $130-$145 billion (narrowed range), from $125B-$145B. - Meta is receiving offers at a "significant premium" to what they paid for it (compute scarcity, positive for neoclouds like $IREN / $NBIS ) - Expects significant portion of compute (like the 1 GW DC in El Paso) to develop internal models. - Meta has multiple ROI-positive uses for additional compute across its core business (internally, not Meta Compute) - "Finally, we believe that overall industry capacity is going to remain tight for the foreseeable future" - "The industry has under-built historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable" - Susan Li TLDR: - $MSFT and $GOOGL largely sustaining AI capex buildout while remaining FCF positive or through operating incomes. - $META flags available compute materially below demand at least through 2027. And $MSFT also flags compute demand far exceeds supply. - All three hyperscaler capex largely in line with Google hiking capex figures. AI selloff seems extremely overblown now, hyperscalers continuing capex in line (with Microsoft being FCF positive) or even hiked with $GOOGL. Compute scarcity is visible throughout every single hyperscaler ER.

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