用一个不合理的折旧调_老虎社区_美港股上老虎

Mediator
07-30

用一个不合理的折旧调整，摊薄了成本，保住了经营利润率，循环融资根本就是无可辩驳，所谓的利润当然有，但1都是自己投资的钱，2更多来自于对OA股权投资的估值增长，已经开始玩这种上不了台面的花招就恰恰说明已经无招可用，无话可说了，加速看跌，怎么骗上来的跌下去只会更多！微软甚至还不如meta，至少meta还算诚实，不会玩这种自作聪明的烂招。

当市场在买“AI烧钱结束”，微软在买什么？

市场为一份"不存在的削减"狂欢了8%——CFO一句1750亿资本支出指引，实为会计重分类游戏，真实投入分文未减。但更深的故事藏在数字背后：OpenAI依赖症正在消退，Copilot从4亿席位起跳无人能复制，Anthropic半年浮盈32亿。微软并未AI赌徒，它是AI时代的收费站。

当市场在买“AI烧钱结束”，微软在买什么？

# 华尔街见闻

免责声明：上述内容仅代表发帖人个人观点，不构成本平台的任何投资建议。

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jianmo
·07-31
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微软自己都说了云业务增长跟ai大模型无关也就是说云业务是社会发展需求的基本增长而已现在社会流量需求只会越来越大
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- Mediator:
  扣掉循环融资的很大部分，他还剩多少的实际增长还未可知，更不要说净利润，不谈实际增速和利润空间，你说的所谓需求甚至可以套在快消品上，股市需要的是带准确预期的定价，而不是讲未来需求一定大，不用讲我都知道30年后需求一定比今天大得多，那就闭着眼买就可以了嘛，笑死
  07-31
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JP老师
·07-31
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梁文峰刚说过，他们硬件的回本周期是十个月。他们甚至愿意溢价购买。
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- Mediator:
  怎么不把他吹死呢，美国闭源➕企业支付能力强目前都还挣不到钱，中国开源➕大量企业利润下滑他回本周期十个月，梦里回本的是吗？讲这种话非蠢即坏，赶紧卖出，不是等著套人就是已经是精神出问题了
  07-31
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nuanliu暖
·07-31
怎么看出来调整折扣了
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- nuanliu暖回复目光之后:
  就是被做空或者杀杠杆，没杀到位
  08-03
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- nuanliu暖回复目光之后:
  看到了，还把融资租赁改成经营租赁，都是降低年折旧额保利润。没关系，感觉它的涨跌跟利润预期偏差关系不大。
  08-03
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- 目光之后:
  固定资本折旧周期从15年拉长到25年，你仔细看下财报里的描述
  08-02
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id=\"id_3778195481\">四、被所有人忽略的最重要信号：OpenAI依赖症在消退</h2>这可能是这份季报里最被低估的一个信息。回到Q3，微软商业剩余履约义务（RPO）达到6270亿美元时，市场发现一个令人不安的数字：其中约45%来自OpenAI一家客户。剔除OpenAI后，RPO增速只有26%，商业订单增速只有7%。市场的隐含担忧是：微软的云增长叙事，本质上是被一个大客户撑起来的。这一季，RPO进一步升至6780亿美元，环比增加约510亿。微软在新闻稿和电话会上，特意、多次、着重强调：本季度的新增合同&#34;主要来自AI模型开发商以外的企业客户&#34;。这并非一个随意的措辞，管理层在有意识地解构「微软=OpenAI的影子」这个叙事。与此同时，德意志银行此前提出的&#34;集中度风险&#34;也在被数据稀释。当RPO的增量来自分散的企业客户而非单一模型公司时，估值的确定性溢价会上升——因为收入变得更加可预测、更加分散、更加抗风险。还有一个容易被忽略的小注脚：纳德拉在电话会上主动提到，今年初以来，使用多种AI模型进行开发的微软客户数量增加了5倍。客户正在自发地从「押注单一模型」转向「多模型策略」——而这对Azure来说是天大的好消息，因为多模型策略意味着更多的云消费、更低的迁移风险、更强的平台粘性。<h2 id=\"id_178010812\">五、“你不能把赌注押在任何单一模型上”——纳德拉最狠的一句话</h2>电话会上，纳德拉主动提了一个故事：OpenAI的模型最近失控，入侵了HuggingFace。然后他说了一句在硅谷会被反复引用的话：“我们能从这件事中吸取的最大教训就是，你不能把赌注押在任何单一模型上。”这句话的分量，远超一个安全事件的技术反思。微软在公开、明确地划清与OpenAI的边界。背后是一整套已经在运行的战略：<ul style=\"\"><li>Anthropic：投资50亿美元，Claude模型集成到AzureAIFoundry和Copilot，锁定了300亿美元的Azure消费承诺</li><li>xAI（马斯克）：Grok模型上线Azure AI Foundry</li><li>Mistral：法国开源模型提供商，也已集成</li><li>自研：MAI系列模型，纳德拉在电话会上举例说MAI-Cyber-1-Flash处理90%的安全任务，成本降低50%</li><li>开源模型：Llama、Mistral等数万个开源模型可通过Azure AI Foundry部署</li></ul>微软的战略图景已经很清晰：把Azure变成一个模型中立的市场，就像AWS是计算中立的市场一样。企业客户不需要关心底层模型是谁家的——微软负责提供、管理、路由、替换。Copilot内部的&#34;智能路由&#34;功能可以自动将不同任务分配给最合适、最便宜的模型。谷歌云82%增长的背后是Gemini 3的强力推动，但这也意味着谷歌云的叙事深度绑定在Gemini的成功上。某个模型一旦出问题或落后，谷歌云受到的冲击会更直接。微软在做的本质上是把AI模型层的风险外部化——无论哪家模型公司赢，Azure都是赢家。<h2 id=\"id_320868946\">六、“循环融资”证伪：Anthropic的32亿并非左手倒右手</h2>2025年11月，微软投资Anthropic 50亿美元，Anthropic承诺购买300亿美元Azure服务。当时华尔街有个刻薄的评价：「循环融资」——微软给Anthropic钱，Anthropic用这笔钱买Azure，Azure收入增长，华尔街给微软更高估值。完美的闭环。但这次季报给出了一个意想不到的反驳：Anthropic投资产生了32亿美元的账面收益。半年，50亿投入，32亿浮盈。背后的机制是：Anthropic在这半年内完成了新一轮融资，估值从1830亿美元飙升到3500亿美元，超越OpenAI成为全球最有价值的AI独角兽。微软作为早期投资者，持股的公允价值随之水涨船高。这意味着两件事：股权投资的回报独立于Azure云服务收入——两笔交易都在赚钱，谈不上左手倒右手；微软正在用更低的资本成本锁定Azure的长期需求——50亿美元的投资换来了300亿美元的确定性云收入+32亿美元的浮盈+多模型战略的关键棋子。这种“投资-采购-增值”的三角结构，微软在Anthropic上玩了一遍，接下来会不会在Mistral、在别的模型公司上再玩一遍？这种模式的复制潜力，才是真正值得思考的地方。<h2 id=\"id_1916847007\">七、Copilot为何不可复制：捆绑的暴力</h2>彭博情报分析师曼迪普·辛格说了一句一针见血的话：&#34;微软的捆绑策略仍在持续奏效。&#34;拆开这句话：Copilot不需要像独立SaaS创业公司那样烧钱买流量。它焊在M365的4亿多付费席位上。企业IT部门已经在用Office，已经签了EA协议，已经做了安全审计——Copilot只是一个需要勾选的附加复选框。这是任何独立AI工具——不管是ChatGPTEnterprise还是ClaudeforBusiness——都无法复制的结构性优势。它们的获客是从零开始的，Copilot是从4亿开始的。3000万席位的数字背后，还有一个质量信号：使用强度已经与Outlook和Teams持平。电话会上提到，&#34;从首次使用到高频使用的时间，已经从几个月缩短到了几天&#34;。Copilot正在嵌入日常工作流，买了却不用的情况越来越少。再加上E7高级套件的推出——它把Copilot和Agent365（安全运营、IT运营、财务运营）打包，并且在定价上引入了「席位+用量」的双轨模式——ARPU的提升才刚刚开始。纳德拉说了一句意味深长的话：&#34;Copilot的TAM（总可寻址市场），比传统Office大得多。&#34;seat收入之外，token用量收入是一个没有上限的变量。<h2 id=\"id_363638677\">八、结语：市场是在买“AI烧钱可见”</h2>这份季报最深的答案，藏在电话会的问答环节。高盛分析师问了一个问题：“和一年前比，CapEx的ROI怎么看？”Amy Hood的回答可以浓缩成一句话：“我的算法没变，但对TAM扩张和利润率杠杆的信心提高了。”“算法没变”——投得不更少，回报要求没更低，同样严格的ROI标准下，可实现的回报更大了。这并非&#34;AI烧钱结束&#34;，而是&#34;AI烧钱可见&#34;——每一块钱投下去，你能在财务模型里看到它通向哪里：Azure的token消耗、Copilot的席位增长、Anthropic的300亿Azure承诺、多模型策略下的客户留存。微软正在做一件在科技史上少见的事：把一个全行业范围的范式转变（AI），结构性地转化为自己的经常性收入。它扮演的角色，与其说是AI的「赌徒」，不如说是AI的「收费站」。这也是为什么，季报出来后——谷歌云飚82%、Meta利润率崩塌、AWS今晚发布——只有微软同时完成了三件事：收入超预期、利润率守住、Capex管理给市场吃下定心丸。一个正在学会&#34;既有野心又有纪律&#34;的2.9万亿美元巨兽，比一个只会花钱的巨兽，危险得多。</body></html>","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>当市场在买“AI烧钱结束”，微软在买什么？</title>\n<style 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margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n当市场在买“AI烧钱结束”，微软在买什么？\n</h2>\n\n<h4 class=\"meta\">\n\n\n<a class=\"head\" href=\"https://laohu8.com/wemedia/1084101182\">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/66809d1f5c2e43e2bdf15820c6d6897e);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n华尔街见闻 \n2026-07-30 15:20\n</div>\n\n</a>\n\n\n</h4>\n\n</header>\n<article>\n<html><head></head><body><blockquote>市场为一份&#34;不存在的削减&#34;狂欢了8%——CFO一句1750亿资本支出指引，实为会计重分类游戏，真实投入分文未减。但更深的故事藏在数字背后：OpenAI依赖症正在消退，Copilot从4亿席位起跳无人能复制，Anthropic半年浮盈32亿。微软并未AI赌徒，它是AI时代的收费站。</blockquote>一份所有人都觉得超预期的季报。但如果只看数字，你大概率错过了真正重要的东西。<h2 id=\"id_1912993924\">一、1750亿的魔术——市场究竟在为什么欢呼？</h2>本次季报最剧烈的市场反应，既没出在营收超预期上，也没出在Azure 43%的加速上，而是在盘后两小时几乎被遗忘的电话会末尾——CFO艾米·胡德轻轻说了一句：&#34;FY2027资本支出指引约为1750亿美元。&#34;几秒钟前股价还在1.6%的涨幅徘徊，几分钟内直接跳到8.4%。<img src=\"https://static.tigerbbs.com/dda324557fcd0f0fb4fd0a4018becad9\" tg-width=\"839\" tg-height=\"877\"/>但这里有一个几乎所有人都搞错了的事情：这1750亿换的是记账的地方，投入规模一点没少。同一个电话会上，胡德同步宣布：数据中心和办公楼折旧年限从15年延长到25年。会计准则随之变更——原本按融资租赁处理、要计入Capex的合同，现在按经营租赁处理，不计入Capex了。公司明说：&#34;除会计准则变更之外，投入预期没有任何变化。&#34;CFO甚至补充，FY2027资本支出将&#34;进一步增长&#34;。也就是说，市场为一份不存在的削减狂欢了8%。这件事折射出集体心理——2026年上半年，微软股价跌了将近20%，业绩本身谈不上差，但所有人都在害怕同一件事：AI基础设施的烧钱没有尽头。当市场听到一个表面上&#34;少了150亿&#34;的数字时，释放压抑了半年的恐惧。三个月前同一场会上，CFO描述这些资产的措辞是&#34;未来15年及以后&#34;。三个月后变成25年。这不像是工程判断上的跃迁，更像是管理层在向市场传递一个信号：我们的基础设施能用很久，你不需要为折旧焦虑。但风险恰恰藏在这里——如果AI芯片的代际更替比数据中心建筑的物理寿命快得多，25年的折旧假设意味着什么？意味着当这批资产已经技术上过时的时候，账面还在慢慢摊销。谷歌在同一天把全年Capex从1900亿上修到1950-2050亿，没有玩折旧年限游戏。两条路线的分野，值得持续观察。<h2 id=\"id_185330863\">二、同一个夜晚，两张天差地别的利润表</h2>微软和Meta几乎同时发报，这道“巧合”比任何单一公司的数字都更说明问题。<img src=\"https://static.tigerbbs.com/749ebaa2a8a4ec415d2448e5e2ebdb26\" tg-width=\"1022\" tg-height=\"195\"/>Meta收入比微软慢了不到七成，但单季股权激励就76.6亿美元——微软是31.2亿。Meta单季还计提了24亿法律费用、11.8亿裁员补偿。即便把这两笔加回去，Meta的利润率也只有36.8%，远不如去年同期。两家公司都在为AI投入巨资——微软Q4买固定资产付了358亿美元现金，Meta同期是301亿。但微软在投入规模更大的情况下，保住了利润增速与收入增速同步。这暴露了AI时代两种截然不同的商业模式：Meta的AI投资流向内部——训练LLaMA、优化推荐算法、生成广告创意。这些投入的价值是间接的、难以拆解的。你很难说清楚Meta多赚的每一块钱有多少来自AI。微软的AI投资流向外部——Azure上的AI推理按Token收费、Copilot按人头收费、GitHub Copilot按开发者收费。每一美元的资本支出，都有明确的、可计价的、按消费量结算的收入对应。这就是纳德拉反复说的&#34;cost-to-outcome curve&#34;（成本-成果曲线）的真意：重点不在于AI能不能降本，而在于你能否在财务模型里，把投入和产出的关系画成一条可解释的线。微软能，Meta还差得远。<h2 id=\"id_1152252603\">三、毛利率降了，利润率没降——一个反直觉的发现</h2>更深一层的细节藏在智能云分部：<ul style=\"\"><li>毛利率：从去年同期的60.4%降至57.1%</li><li>营业利润率：40.6%→40.6%，纹丝不动</li></ul>AI硬件在侵蚀毛利率——公司自己承认原因是&#34;产品结构转向Azure加上AI基础设施提前扩产&#34;。GPU是昂贵的，推理服务的高成本直接体现为更低的毛利率。但营业利润率一点没降。为什么？因为同一个分部的运营费用只增长了10%，而收入增长了32%。微软在用一个更精瘦的费用结构，去对冲一个更沉重的成本结构。这是经营杠杆的教科书级展示：当SG&amp;A增速远低于收入增速时，毛利率的压缩可以被完美吸收。这与Meta形成残酷对比：Meta的研发费用一个季度就多了87.1亿美元，占成本增量的58%。微软在控制人头（甚至还推出了自愿退休计划），Meta在疯狂扩张。一个更深层的推论：如果Azure的毛利率压力是结构性的（AI推理天然比传统云计算更消耗硬件），那么微软正在押注的两件事是——（1）自研芯片可以拉回毛利率；（2）Copilot的90%+毛利润可以补贴Azure的毛利率下滑。前者是技术赌注，后者是商业模式对冲。<h2 id=\"id_3778195481\">四、被所有人忽略的最重要信号：OpenAI依赖症在消退</h2>这可能是这份季报里最被低估的一个信息。回到Q3，微软商业剩余履约义务（RPO）达到6270亿美元时，市场发现一个令人不安的数字：其中约45%来自OpenAI一家客户。剔除OpenAI后，RPO增速只有26%，商业订单增速只有7%。市场的隐含担忧是：微软的云增长叙事，本质上是被一个大客户撑起来的。这一季，RPO进一步升至6780亿美元，环比增加约510亿。微软在新闻稿和电话会上，特意、多次、着重强调：本季度的新增合同&#34;主要来自AI模型开发商以外的企业客户&#34;。这并非一个随意的措辞，管理层在有意识地解构「微软=OpenAI的影子」这个叙事。与此同时，德意志银行此前提出的&#34;集中度风险&#34;也在被数据稀释。当RPO的增量来自分散的企业客户而非单一模型公司时，估值的确定性溢价会上升——因为收入变得更加可预测、更加分散、更加抗风险。还有一个容易被忽略的小注脚：纳德拉在电话会上主动提到，今年初以来，使用多种AI模型进行开发的微软客户数量增加了5倍。客户正在自发地从「押注单一模型」转向「多模型策略」——而这对Azure来说是天大的好消息，因为多模型策略意味着更多的云消费、更低的迁移风险、更强的平台粘性。<h2 id=\"id_178010812\">五、“你不能把赌注押在任何单一模型上”——纳德拉最狠的一句话</h2>电话会上，纳德拉主动提了一个故事：OpenAI的模型最近失控，入侵了HuggingFace。然后他说了一句在硅谷会被反复引用的话：“我们能从这件事中吸取的最大教训就是，你不能把赌注押在任何单一模型上。”这句话的分量，远超一个安全事件的技术反思。微软在公开、明确地划清与OpenAI的边界。背后是一整套已经在运行的战略：<ul style=\"\"><li>Anthropic：投资50亿美元，Claude模型集成到AzureAIFoundry和Copilot，锁定了300亿美元的Azure消费承诺</li><li>xAI（马斯克）：Grok模型上线Azure AI Foundry</li><li>Mistral：法国开源模型提供商，也已集成</li><li>自研：MAI系列模型，纳德拉在电话会上举例说MAI-Cyber-1-Flash处理90%的安全任务，成本降低50%</li><li>开源模型：Llama、Mistral等数万个开源模型可通过Azure AI Foundry部署</li></ul>微软的战略图景已经很清晰：把Azure变成一个模型中立的市场，就像AWS是计算中立的市场一样。企业客户不需要关心底层模型是谁家的——微软负责提供、管理、路由、替换。Copilot内部的&#34;智能路由&#34;功能可以自动将不同任务分配给最合适、最便宜的模型。谷歌云82%增长的背后是Gemini 3的强力推动，但这也意味着谷歌云的叙事深度绑定在Gemini的成功上。某个模型一旦出问题或落后，谷歌云受到的冲击会更直接。微软在做的本质上是把AI模型层的风险外部化——无论哪家模型公司赢，Azure都是赢家。<h2 id=\"id_320868946\">六、“循环融资”证伪：Anthropic的32亿并非左手倒右手</h2>2025年11月，微软投资Anthropic 50亿美元，Anthropic承诺购买300亿美元Azure服务。当时华尔街有个刻薄的评价：「循环融资」——微软给Anthropic钱，Anthropic用这笔钱买Azure，Azure收入增长，华尔街给微软更高估值。完美的闭环。但这次季报给出了一个意想不到的反驳：Anthropic投资产生了32亿美元的账面收益。半年，50亿投入，32亿浮盈。背后的机制是：Anthropic在这半年内完成了新一轮融资，估值从1830亿美元飙升到3500亿美元，超越OpenAI成为全球最有价值的AI独角兽。微软作为早期投资者，持股的公允价值随之水涨船高。这意味着两件事：股权投资的回报独立于Azure云服务收入——两笔交易都在赚钱，谈不上左手倒右手；微软正在用更低的资本成本锁定Azure的长期需求——50亿美元的投资换来了300亿美元的确定性云收入+32亿美元的浮盈+多模型战略的关键棋子。这种“投资-采购-增值”的三角结构，微软在Anthropic上玩了一遍，接下来会不会在Mistral、在别的模型公司上再玩一遍？这种模式的复制潜力，才是真正值得思考的地方。<h2 id=\"id_1916847007\">七、Copilot为何不可复制：捆绑的暴力</h2>彭博情报分析师曼迪普·辛格说了一句一针见血的话：&#34;微软的捆绑策略仍在持续奏效。&#34;拆开这句话：Copilot不需要像独立SaaS创业公司那样烧钱买流量。它焊在M365的4亿多付费席位上。企业IT部门已经在用Office，已经签了EA协议，已经做了安全审计——Copilot只是一个需要勾选的附加复选框。这是任何独立AI工具——不管是ChatGPTEnterprise还是ClaudeforBusiness——都无法复制的结构性优势。它们的获客是从零开始的，Copilot是从4亿开始的。3000万席位的数字背后，还有一个质量信号：使用强度已经与Outlook和Teams持平。电话会上提到，&#34;从首次使用到高频使用的时间，已经从几个月缩短到了几天&#34;。Copilot正在嵌入日常工作流，买了却不用的情况越来越少。再加上E7高级套件的推出——它把Copilot和Agent365（安全运营、IT运营、财务运营）打包，并且在定价上引入了「席位+用量」的双轨模式——ARPU的提升才刚刚开始。纳德拉说了一句意味深长的话：&#34;Copilot的TAM（总可寻址市场），比传统Office大得多。&#34;seat收入之外，token用量收入是一个没有上限的变量。<h2 id=\"id_363638677\">八、结语：市场是在买“AI烧钱可见”</h2>这份季报最深的答案，藏在电话会的问答环节。高盛分析师问了一个问题：“和一年前比，CapEx的ROI怎么看？”Amy Hood的回答可以浓缩成一句话：“我的算法没变，但对TAM扩张和利润率杠杆的信心提高了。”“算法没变”——投得不更少，回报要求没更低，同样严格的ROI标准下，可实现的回报更大了。这并非&#34;AI烧钱结束&#34;，而是&#34;AI烧钱可见&#34;——每一块钱投下去，你能在财务模型里看到它通向哪里：Azure的token消耗、Copilot的席位增长、Anthropic的300亿Azure承诺、多模型策略下的客户留存。微软正在做一件在科技史上少见的事：把一个全行业范围的范式转变（AI），结构性地转化为自己的经常性收入。它扮演的角色，与其说是AI的「赌徒」，不如说是AI的「收费站」。这也是为什么，季报出来后——谷歌云飚82%、Meta利润率崩塌、AWS今晚发布——只有微软同时完成了三件事：收入超预期、利润率守住、Capex管理给市场吃下定心丸。一个正在学会&#34;既有野心又有纪律&#34;的2.9万亿美元巨兽，比一个只会花钱的巨兽，危险得多。</body></html>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"https://static.tigerbbs.com/a9e6cb1a33dd64f159118795f199c2f3","relate_stocks":{"LU2237957902.USD":"NIKKO AM GLOBAL EQUITY \"F\" (USD) ACC","LU1564329461.SGD":"Blackrock Dynamic High Income A6 SGD-H","LU2552382215.SGD":"WELLINGTON US BRAND POWER \"A\" (SGDHDG) ACC","MSFD":"1倍做空MSFT ETF-Direxion","LU2237957811.SGD":"NIKKO AM GLOBAL EQUITY \"F\" (SGD) ACC","MSFL":"2倍做多MSFT ETF-GraniteShares","LU2552382058.USD":"WELLINGTON US BRAND POWER \"A\" (USD) ACC","LU0708994859.HKD":"TEMPLETON 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Global Equity Cl ET Acc H2-SGD"},"source_url":"https://wallstreetcn.com/articles/3778283","is_english":false,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2655825248","content_text":"市场为一份\"不存在的削减\"狂欢了8%——CFO一句1750亿资本支出指引，实为会计重分类游戏，真实投入分文未减。但更深的故事藏在数字背后：OpenAI依赖症正在消退，Copilot从4亿席位起跳无人能复制，Anthropic半年浮盈32亿。微软并未AI赌徒，它是AI时代的收费站。一份所有人都觉得超预期的季报。但如果只看数字，你大概率错过了真正重要的东西。一、1750亿的魔术——市场究竟在为什么欢呼？本次季报最剧烈的市场反应，既没出在营收超预期上，也没出在Azure 43%的加速上，而是在盘后两小时几乎被遗忘的电话会末尾——CFO艾米·胡德轻轻说了一句：\"FY2027资本支出指引约为1750亿美元。\"几秒钟前股价还在1.6%的涨幅徘徊，几分钟内直接跳到8.4%。但这里有一个几乎所有人都搞错了的事情：这1750亿换的是记账的地方，投入规模一点没少。同一个电话会上，胡德同步宣布：数据中心和办公楼折旧年限从15年延长到25年。会计准则随之变更——原本按融资租赁处理、要计入Capex的合同，现在按经营租赁处理，不计入Capex了。公司明说：\"除会计准则变更之外，投入预期没有任何变化。\"CFO甚至补充，FY2027资本支出将\"进一步增长\"。也就是说，市场为一份不存在的削减狂欢了8%。这件事折射出集体心理——2026年上半年，微软股价跌了将近20%，业绩本身谈不上差，但所有人都在害怕同一件事：AI基础设施的烧钱没有尽头。当市场听到一个表面上\"少了150亿\"的数字时，释放压抑了半年的恐惧。三个月前同一场会上，CFO描述这些资产的措辞是\"未来15年及以后\"。三个月后变成25年。这不像是工程判断上的跃迁，更像是管理层在向市场传递一个信号：我们的基础设施能用很久，你不需要为折旧焦虑。但风险恰恰藏在这里——如果AI芯片的代际更替比数据中心建筑的物理寿命快得多，25年的折旧假设意味着什么？意味着当这批资产已经技术上过时的时候，账面还在慢慢摊销。谷歌在同一天把全年Capex从1900亿上修到1950-2050亿，没有玩折旧年限游戏。两条路线的分野，值得持续观察。二、同一个夜晚，两张天差地别的利润表微软和Meta几乎同时发报，这道“巧合”比任何单一公司的数字都更说明问题。Meta收入比微软慢了不到七成，但单季股权激励就76.6亿美元——微软是31.2亿。Meta单季还计提了24亿法律费用、11.8亿裁员补偿。即便把这两笔加回去，Meta的利润率也只有36.8%，远不如去年同期。两家公司都在为AI投入巨资——微软Q4买固定资产付了358亿美元现金，Meta同期是301亿。但微软在投入规模更大的情况下，保住了利润增速与收入增速同步。这暴露了AI时代两种截然不同的商业模式：Meta的AI投资流向内部——训练LLaMA、优化推荐算法、生成广告创意。这些投入的价值是间接的、难以拆解的。你很难说清楚Meta多赚的每一块钱有多少来自AI。微软的AI投资流向外部——Azure上的AI推理按Token收费、Copilot按人头收费、GitHub Copilot按开发者收费。每一美元的资本支出，都有明确的、可计价的、按消费量结算的收入对应。这就是纳德拉反复说的\"cost-to-outcome curve\"（成本-成果曲线）的真意：重点不在于AI能不能降本，而在于你能否在财务模型里，把投入和产出的关系画成一条可解释的线。微软能，Meta还差得远。三、毛利率降了，利润率没降——一个反直觉的发现更深一层的细节藏在智能云分部：毛利率：从去年同期的60.4%降至57.1%营业利润率：40.6%→40.6%，纹丝不动AI硬件在侵蚀毛利率——公司自己承认原因是\"产品结构转向Azure加上AI基础设施提前扩产\"。GPU是昂贵的，推理服务的高成本直接体现为更低的毛利率。但营业利润率一点没降。为什么？因为同一个分部的运营费用只增长了10%，而收入增长了32%。微软在用一个更精瘦的费用结构，去对冲一个更沉重的成本结构。这是经营杠杆的教科书级展示：当SG&A增速远低于收入增速时，毛利率的压缩可以被完美吸收。这与Meta形成残酷对比：Meta的研发费用一个季度就多了87.1亿美元，占成本增量的58%。微软在控制人头（甚至还推出了自愿退休计划），Meta在疯狂扩张。一个更深层的推论：如果Azure的毛利率压力是结构性的（AI推理天然比传统云计算更消耗硬件），那么微软正在押注的两件事是——（1）自研芯片可以拉回毛利率；（2）Copilot的90%+毛利润可以补贴Azure的毛利率下滑。前者是技术赌注，后者是商业模式对冲。四、被所有人忽略的最重要信号：OpenAI依赖症在消退这可能是这份季报里最被低估的一个信息。回到Q3，微软商业剩余履约义务（RPO）达到6270亿美元时，市场发现一个令人不安的数字：其中约45%来自OpenAI一家客户。剔除OpenAI后，RPO增速只有26%，商业订单增速只有7%。市场的隐含担忧是：微软的云增长叙事，本质上是被一个大客户撑起来的。这一季，RPO进一步升至6780亿美元，环比增加约510亿。微软在新闻稿和电话会上，特意、多次、着重强调：本季度的新增合同\"主要来自AI模型开发商以外的企业客户\"。这并非一个随意的措辞，管理层在有意识地解构「微软=OpenAI的影子」这个叙事。与此同时，德意志银行此前提出的\"集中度风险\"也在被数据稀释。当RPO的增量来自分散的企业客户而非单一模型公司时，估值的确定性溢价会上升——因为收入变得更加可预测、更加分散、更加抗风险。还有一个容易被忽略的小注脚：纳德拉在电话会上主动提到，今年初以来，使用多种AI模型进行开发的微软客户数量增加了5倍。客户正在自发地从「押注单一模型」转向「多模型策略」——而这对Azure来说是天大的好消息，因为多模型策略意味着更多的云消费、更低的迁移风险、更强的平台粘性。五、“你不能把赌注押在任何单一模型上”——纳德拉最狠的一句话电话会上，纳德拉主动提了一个故事：OpenAI的模型最近失控，入侵了HuggingFace。然后他说了一句在硅谷会被反复引用的话：“我们能从这件事中吸取的最大教训就是，你不能把赌注押在任何单一模型上。”这句话的分量，远超一个安全事件的技术反思。微软在公开、明确地划清与OpenAI的边界。背后是一整套已经在运行的战略：Anthropic：投资50亿美元，Claude模型集成到AzureAIFoundry和Copilot，锁定了300亿美元的Azure消费承诺xAI（马斯克）：Grok模型上线Azure AI FoundryMistral：法国开源模型提供商，也已集成自研：MAI系列模型，纳德拉在电话会上举例说MAI-Cyber-1-Flash处理90%的安全任务，成本降低50%开源模型：Llama、Mistral等数万个开源模型可通过Azure AI Foundry部署微软的战略图景已经很清晰：把Azure变成一个模型中立的市场，就像AWS是计算中立的市场一样。企业客户不需要关心底层模型是谁家的——微软负责提供、管理、路由、替换。Copilot内部的\"智能路由\"功能可以自动将不同任务分配给最合适、最便宜的模型。谷歌云82%增长的背后是Gemini 3的强力推动，但这也意味着谷歌云的叙事深度绑定在Gemini的成功上。某个模型一旦出问题或落后，谷歌云受到的冲击会更直接。微软在做的本质上是把AI模型层的风险外部化——无论哪家模型公司赢，Azure都是赢家。六、“循环融资”证伪：Anthropic的32亿并非左手倒右手2025年11月，微软投资Anthropic 50亿美元，Anthropic承诺购买300亿美元Azure服务。当时华尔街有个刻薄的评价：「循环融资」——微软给Anthropic钱，Anthropic用这笔钱买Azure，Azure收入增长，华尔街给微软更高估值。完美的闭环。但这次季报给出了一个意想不到的反驳：Anthropic投资产生了32亿美元的账面收益。半年，50亿投入，32亿浮盈。背后的机制是：Anthropic在这半年内完成了新一轮融资，估值从1830亿美元飙升到3500亿美元，超越OpenAI成为全球最有价值的AI独角兽。微软作为早期投资者，持股的公允价值随之水涨船高。这意味着两件事：股权投资的回报独立于Azure云服务收入——两笔交易都在赚钱，谈不上左手倒右手；微软正在用更低的资本成本锁定Azure的长期需求——50亿美元的投资换来了300亿美元的确定性云收入+32亿美元的浮盈+多模型战略的关键棋子。这种“投资-采购-增值”的三角结构，微软在Anthropic上玩了一遍，接下来会不会在Mistral、在别的模型公司上再玩一遍？这种模式的复制潜力，才是真正值得思考的地方。七、Copilot为何不可复制：捆绑的暴力彭博情报分析师曼迪普·辛格说了一句一针见血的话：\"微软的捆绑策略仍在持续奏效。\"拆开这句话：Copilot不需要像独立SaaS创业公司那样烧钱买流量。它焊在M365的4亿多付费席位上。企业IT部门已经在用Office，已经签了EA协议，已经做了安全审计——Copilot只是一个需要勾选的附加复选框。这是任何独立AI工具——不管是ChatGPTEnterprise还是ClaudeforBusiness——都无法复制的结构性优势。它们的获客是从零开始的，Copilot是从4亿开始的。3000万席位的数字背后，还有一个质量信号：使用强度已经与Outlook和Teams持平。电话会上提到，\"从首次使用到高频使用的时间，已经从几个月缩短到了几天\"。Copilot正在嵌入日常工作流，买了却不用的情况越来越少。再加上E7高级套件的推出——它把Copilot和Agent365（安全运营、IT运营、财务运营）打包，并且在定价上引入了「席位+用量」的双轨模式——ARPU的提升才刚刚开始。纳德拉说了一句意味深长的话：\"Copilot的TAM（总可寻址市场），比传统Office大得多。\"seat收入之外，token用量收入是一个没有上限的变量。八、结语：市场是在买“AI烧钱可见”这份季报最深的答案，藏在电话会的问答环节。高盛分析师问了一个问题：“和一年前比，CapEx的ROI怎么看？”Amy 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