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大家好,欢迎回到另一个被低估或未被充分认识的视频
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我们将讨论微软公司
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在这期视频中
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我们谈论了很多关于Meta和谷歌的内容
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顺便说一句
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Meta今日上涨了4.7%
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涨幅达7%
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Muse Park
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One Point One发布了
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扎克伯格又开始发推特了
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看来一切顺利
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仍然严重被低估
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不过微软也是这类公司之一,虽然
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它处于高位是理所当然的
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但另一方面
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从股价表现来看并不出色
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而且
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这并非高价股
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仍然盈利能力强劲
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那么微软到底发生了什么
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我们先看看今日的热力图
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如您所见,Meta呈现亮绿色,股价631美元
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这是该股的关键价位
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但观察微软
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微软
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是一家市值2.86万亿美元的公司
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当前交易价约384美元
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如果我们查看过去五年的股价走势
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股价上涨了38.2%
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目前正经历回调
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过去12个月的数据
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大约回调了2.9%
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过去12个月下跌2.3%
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但较峰值已下跌2.9%
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不久前曾下跌3.5%
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不久之前
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微软到底怎么了
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现在是否值得买入
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这是否又是被低估到不可忽视的标的
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市场是否关注了错误的方向
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市场是否只关注Anthropic
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SpaceX或AI领域
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OpenAI等
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等等
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而不关注微软这类公司
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Meta、亚马逊当然
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亚马逊比微软更昂贵
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但仍是优质公司
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甚至英伟达也是如此
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英伟达确实
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它的价值高达四千九百亿美元
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仍上涨二十四点
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过去一年增长百分之三
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下跌百分之十四
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这就是当前的回撤幅度
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但它仍是交易状况良好的公司
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市盈率三十一点
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当前交易市盈率
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但市销率仅为二十倍,市净率零点五
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我的意思是
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看到市场上某些公司备受青睐
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并享有超高溢价
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而其他公司
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这些通常仍是表现极佳的企业
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现在却未获太多关注
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这可能是因为这个原因
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如果我们看资本支出
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资本支出增长
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这是微软过去十二个月的数据
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你可以清楚看到过去五年的变化
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从约二十点六亿美元增至九十一点二亿美元
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肯定将突破一百亿美元
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下个季度再次刷新十二个月数据
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好的
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我们了解资本支出领域
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我们早已听过千百次
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但在微软
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不同于许多公司
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微软仍在大量产生自由现金流
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过去十二个月的数据
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自由现金流超七十亿美元
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我们也看到谷歌的自由现金流
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不会出现负值
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这正是当前的巨大竞争优势
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因为如果变现能力不如预期
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好的
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那些不盈利的可能将倒闭
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但那些拥有巨额现金的公司
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且持续产生巨额现金流
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嗯
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他们可以四处收购
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哦
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我喜欢这家公司
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我喜欢该产品
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我喜欢这个功能
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我要买下它
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我要整合它
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我的生态系统将越来越好
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所以再次
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市场这里的问题是什么
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在尝试回答之前
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从纯粹的技术分析角度来看
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你可以在这里看到
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这是周线图
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六月份的时候
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六月初
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试图突破周线50日线未果
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遭遇强劲阻力一路回落至200日线下方
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另外
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顺便说一句
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如果你现在查看日线图
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如你所见
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我们处于无人区
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日线图在六月初处于200日均线
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在周线图上
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则是50日线
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这些是关键区域
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现在出现反弹
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我们稍有进展
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仍处无人区
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如果我是赌徒
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我会认为下个财报将是上涨起点
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因为它将再次证明
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Copilot采用情况
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Azure增长态势
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再详细谈谈
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保持模型中立
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这将是未来趋势
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目前市场认为
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资本支出增速超过营收增长
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2026年计划投入约1900亿美元
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超过AWS
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全年总营收
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AWS仍是最大营收来源
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Copilot规模化采用尚未验证
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约200万付费席位对比
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微软商业版4.5亿用户
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365天活跃用户
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转化率偏低
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OpenAI依赖风险
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40
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微软5%股权
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602
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与单一客户关联70亿美元 backlog
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好的
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但我们已看到微软
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试图摆脱OpenAI依赖
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此外还有
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我认为这不是大问题
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Xbox业务重组
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我认为结构调整是必要的
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还有索尼丑闻中的诚实性
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没错
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我们都是物理硬盘
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没什么意义
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我认为这里对Xbox来说是个巨大机会
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我这辈子从来没用过Xbox
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我是索尼的人
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但若索尼要坑我们
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或许是时候转移了
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所以让我们
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试着理解市场为何看错
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微软是
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当然仍被视为软件巨头
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没错
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是全球最大的软件玩家
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但微软是
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正如我们所说
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微软是无机型
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转向按使用量
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基于用量定价
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深度嵌入企业工作流程
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竞争对手难以复制
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你会明白这为何合理
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我们之前讨论过
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但我很乐意重复
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然后
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关于Copilots
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Copilot席位从1500万增至超2000万
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同比激增250%
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每周使用匹配Outlook
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Adella称其成为日常习惯
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当然
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就我个人而言
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你知道我键盘上的这个小键
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就是Copilot
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我从不用
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但和我交谈的人
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在大公司工作
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大型科技企业
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他们都必须使用Copilots
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所以我想是的
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必须进入企业才能在AI领域赚大钱
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至于AI
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分析营收增速达370亿美元
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同比增长120
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活动营收年增3%
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业务流程营收创1350亿美元历史新高
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按滚动十二个月计算
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年复合增长14%
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至于这1900亿美元的资本支出
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这是个没错的事情
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这正在全面展开
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我们还不清楚真实的回报率是多少
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我们可以填上这个数字
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但我们可以看到一个商业RPO
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金额达6270亿美元
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同比激增99%
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显然需求非常旺盛
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其次运营利润率
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本季度或上季度达到了46.8%的历史最高点
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相比五年前的41.6%显著增长
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核心业务盈利能力达到前所未有的水平
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即使在此次扩展过程中
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然后提出最关键的问题
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没错
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对OpenAI的依赖程度
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Azure非OpenAI部分仍同比增长28%
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Azure整体上季度增长40%
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显然存在OpenAI之外的增长
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我们已经亲眼目睹了这一切
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靠近并进入热带区域
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越来越多了
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我们也知道他们希望OpenAI上市
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所以是的
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他们或许可以退出部分仓位
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他们可以套现,随你叫什么
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然后
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最近
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有一份报告显示微软已经开始更换
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OpenAI和其内部AI栈中使用的熵模型
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积极减少对单一供应商的依赖
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当然,如果他们觉得在内部进行这是可行的
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这意味着内部的AI模型表现相当出色
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否则我不认为他们会做出这样的调整
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接下来探讨转向低成本AI为何利好微软
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因此你拥有AI实验室
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然后还有Azure微软
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因此AI实验室构建的模型利润空间被压缩
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随着工作负载转向更便宜的开源模型
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对的
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这些就是令人恐惧的头条新闻
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然后还有微软Azure
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00:09:18,210 --> 00:09:19,169
他们掌控着道路
245
00:09:19,169 --> 00:09:21,549
他们收取相同的基础设施利润率
246
00:09:21,549 --> 00:09:24,019
无论运行哪个模型
247
00:09:24,019 --> 00:09:28,299
因此企业正从始终使用最佳模型转向路由策略
248
00:09:28,299 --> 00:09:29,980
简单任务用廉价模型
249
00:09:29,980 --> 00:09:32,440
复杂任务用前沿模型
250
00:09:32,440 --> 00:09:34,600
你从Meta那里听到了这个
251
00:09:34,600 --> 00:09:36,120
你正在从微软听到这些信息
252
00:09:36,120 --> 00:09:36,559
天啊
253
00:09:36,559 --> 00:09:39,460
我们已经从帕兰蒂尔听到这个很久了
254
00:09:39,460 --> 00:09:40,279
很长时间
255
00:09:40,279 --> 00:09:43,139
这并没有减少总的人工智能使用量
256
00:09:43,139 --> 00:09:44,450
它反而激增了
257
00:09:44,450 --> 00:09:48,690
更便宜的token意味着企业可以循环运行代理
258
00:09:48,690 --> 00:09:50,009
阅读整个代码库
259
00:09:50,009 --> 00:09:53,429
完成之前过于昂贵的任务
260
00:09:53,429 --> 00:09:57,480
如果我们看看这里的微软token用量
261
00:09:57,480 --> 00:09:59,500
超过一百万亿token
262
00:09:59,500 --> 00:10:01,960
微软在一个季度内处理了
263
00:10:01,960 --> 00:10:04,320
同比增长五倍
264
00:10:04,320 --> 00:10:10,700
超过三百家晶圆厂客户今年预计每个将处理万亿级token以上
265
00:10:10,700 --> 00:10:17,839
人工智能推理成本每单位能力下降的估算速率约为每年十倍
266
00:10:17,839 --> 00:10:23,158
典型超大规模基础设施运营利润率约为3.5%至30%
267
00:10:23,158 --> 00:10:25,360
八个百分点的粘性
268
00:10:25,360 --> 00:10:28,379
无论运行哪个模型
269
00:10:28,379 --> 00:10:33,360
因此更便宜的token历史上并未减少超大规模云收入
270
00:10:33,360 --> 00:10:36,399
反而意味着总使用量大幅增加
271
00:10:36,399 --> 00:10:42,389
每token价格下降与总支出增长可以同时发生
272
00:10:42,389 --> 00:10:45,570
然后我们转向Azure AI Foundry
273
00:10:45,570 --> 00:10:46,629
编排层
274
00:10:46,629 --> 00:10:47,070
是的
275
00:10:47,070 --> 00:10:50,309
与皮埃罗做的事情非常相似
276
00:10:50,309 --> 00:10:51,470
Azure AI Foundry
277
00:10:51,470 --> 00:10:53,629
让企业运行任何模型
278
00:10:53,629 --> 00:10:58,289
OpenAI和微软自有模型通过统一管理层实现安全
279
00:10:58,289 --> 00:11:02,019
内置重要合规和计费功能
280
00:11:02,019 --> 00:11:03,419
然后是核心优势
281
00:11:03,419 --> 00:11:07,700
尤其是这些超大规模公司的主要优势在于模型切换
282
00:11:07,700 --> 00:11:10,509
我们知道切换云服务商
283
00:11:10,509 --> 00:11:10,929
是的
284
00:11:10,929 --> 00:11:12,629
确实有人会这么做
285
00:11:12,629 --> 00:11:19,169
但大多数大公司还是使用三到两家
286
00:11:19,169 --> 00:11:21,210
但市场上只有三家
287
00:11:21,210 --> 00:11:24,409
你不会每天切换云服务
288
00:11:24,409 --> 00:11:25,429
例如
289
00:11:25,429 --> 00:11:26,330
亚马逊AWS
290
00:11:26,330 --> 00:11:27,870
他们拥有亚马逊Bedrock
291
00:11:27,870 --> 00:11:29,629
已经展现出这一模式
292
00:11:29,629 --> 00:11:32,549
实现数十亿美元的年度化营收增长
293
00:11:32,549 --> 00:11:39,190
客户支出季度环比增长60%覆盖超十万个客户
294
00:11:39,190 --> 00:11:42,629
Azure Foundry基于相同逻辑构建
295
00:11:42,629 --> 00:11:44,769
实际上我们
296
00:11:44,769 --> 00:11:47,789
我认为昨天看到一份报告
297
00:11:47,789 --> 00:11:51,470
称Meta可能对云计算做同样的事
298
00:11:51,470 --> 00:11:51,889
现在
299
00:11:51,889 --> 00:11:55,240
综上所述股票是否真的便宜呢
300
00:11:55,240 --> 00:11:57,539
如果我们看估值倍数
301
00:11:57,539 --> 00:11:59,568
我们稍后会分析DCF模型
302
00:11:59,568 --> 00:12:02,149
我们观察十二个月市盈率前值
303
00:12:02,149 --> 00:12:08,139
我们可以看到十二个月市盈率比五年均值低30%
304
00:12:08,139 --> 00:12:11,480
前向131%的市销率
305
00:12:11,480 --> 00:12:14,820
比市销率均值低15%
306
00:12:14,820 --> 00:12:15,259
二
307
00:12:15,259 --> 00:12:16,860
比均值低4%
308
00:12:16,860 --> 00:12:19,259
然后第四季度EBITDA的贝塔值为3
309
00:12:19,259 --> 00:12:21,779
现在比均值低7%
310
00:12:21,779 --> 00:12:23,710
当然之前你可能会说是啊
311
00:12:23,710 --> 00:12:23,870
好的
312
00:12:23,870 --> 00:12:26,710
但之前可能处于溢价状态
313
00:12:26,710 --> 00:12:27,830
我会说你知道吗
314
00:12:27,830 --> 00:12:28,289
好的
315
00:12:28,289 --> 00:12:28,899
正确
316
00:12:28,899 --> 00:12:31,960
但目前如果看这些数据整体
317
00:12:31,960 --> 00:12:35,970
我认为没有处于溢价状态
318
00:12:35,970 --> 00:12:36,210
现在
319
00:12:36,210 --> 00:12:41,690
当然整体来看唯一昂贵的指标是
320
00:12:41,690 --> 00:12:43,169
明显偏高的指标是
321
00:12:43,169 --> 00:12:44,929
当然自由现金流指标
322
00:12:44,929 --> 00:12:48,068
这符合大幅增加资本支出的情况
323
00:12:48,068 --> 00:12:51,649
自由现金流倍数正在下降
324
00:12:51,649 --> 00:12:53,349
我们已观察到整体趋势
325
00:12:53,349 --> 00:12:59,879
但公司仍每年产生大量自由现金流
326
00:12:59,879 --> 00:13:01,759
关于DCF分析
327
00:13:01,759 --> 00:13:02,200
嗯
328
00:13:02,200 --> 00:13:02,840
我们有乐观情景
329
00:13:02,840 --> 00:13:04,929
基准情景和悲观情景
330
00:13:04,929 --> 00:13:05,889
正如你们所知
331
00:13:05,889 --> 00:13:09,769
这些资料可在谷歌云端免费获取
332
00:13:09,769 --> 00:13:13,000
与其他DCF模型一同提供
333
00:13:13,000 --> 00:13:13,460
因此
334
00:13:13,460 --> 00:13:15,529
根据我的假设
335
00:13:15,529 --> 00:13:20,269
微软的加权内在价值约为508美元
336
00:13:20,269 --> 00:13:21,649
较当前价格有32.5%的上行空间
337
00:13:21,649 --> 00:13:24,360
基点518美元
338
00:13:24,360 --> 00:13:26,840
乐观情景671美元
339
00:13:26,840 --> 00:13:29,259
悲观情景326美元
340
00:13:29,259 --> 00:13:31,500
较当前价格低约15%
341
00:13:31,500 --> 00:13:35,879
这些基于未来十年营收增长假设
342
00:13:35,879 --> 00:13:40,179
这是十年内的利润率假设
343
00:13:40,179 --> 00:13:42,200
同样适用于未来十年
344
00:13:42,200 --> 00:13:43,690
你可以自行调整这些数值
345
00:13:43,690 --> 00:13:45,649
当然
346
00:13:45,649 --> 00:13:46,809
自行分析
347
00:13:46,809 --> 00:13:47,789
构建自己的模型
348
00:13:47,789 --> 00:13:49,529
这样才能合理
349
00:13:49,529 --> 00:13:50,250
这样才能
350
00:13:50,250 --> 00:13:53,330
当然得出这些结论
351
00:13:53,330 --> 00:13:58,220
到第十年时收入将达到约九百零七亿美元
352
00:13:58,220 --> 00:14:00,440
在基准情景下的牛市情况
353
00:14:00,440 --> 00:14:04,580
熊市情景下为九百七十六亿美元
354
00:14:04,580 --> 00:14:08,320
企业自由现金流为七百七十五亿美元
355
00:14:11,009 --> 00:14:14,070
牛市情景下为四百二十四五亿美元
356
00:14:14,070 --> 00:14:18,919
基准情景下为三百六十二亿美元
357
00:14:18,919 --> 00:14:20,659
所有数据均在第十年
358
00:14:20,659 --> 00:14:21,980
这让你觉得合理吗
359
00:14:21,980 --> 00:14:23,139
这让你觉得不合理吗
360
00:14:23,139 --> 00:14:23,840
这取决于你
361
00:14:23,840 --> 00:14:25,960
这就是做这类练习的原因
362
00:14:25,960 --> 00:14:27,870
你可以自行编造故事
363
00:14:27,870 --> 00:14:31,509
当然你可以编造所有数字来匹配目标
364
00:14:31,509 --> 00:14:32,970
以符合你想要的数字和叙事
365
00:14:32,970 --> 00:14:34,590
但故事必须合理
366
00:14:34,590 --> 00:14:35,509
但你不能说
367
00:14:35,509 --> 00:14:35,789
哦
368
00:14:35,789 --> 00:14:38,870
接下来十年每年增长四十个百分点
369
00:14:38,870 --> 00:14:40,919
现在这似乎不太合理
370
00:14:40,919 --> 00:14:42,139
对我来说非常清楚
371
00:14:42,139 --> 00:14:44,480
微软明显被低估
372
00:14:44,480 --> 00:14:45,980
我不是唯一这么认为的人
373
00:14:45,980 --> 00:14:50,399
显然分析师也认为这是被低估的股票
374
00:14:50,399 --> 00:14:54,379
当前十二个月共识目标价为五百六十美元
375
00:14:54,379 --> 00:14:55,779
即上涨
376
00:14:55,779 --> 00:14:59,120
从当前价位看有六个百分点的上涨空间
377
00:14:59,120 --> 00:15:00,720
现在你可能会问自己
378
00:15:00,720 --> 00:15:01,100
好的
379
00:15:01,100 --> 00:15:04,559
那为什么你不买入这只股票呢
380
00:15:04,559 --> 00:15:05,679
这是个好问题
381
00:15:05,679 --> 00:15:07,980
如果我有大量现金
382
00:15:07,980 --> 00:15:11,580
如果我投资组合中已有足够持仓
383
00:15:11,580 --> 00:15:14,299
或者你可以将其加入退休投资组合
384
00:15:14,299 --> 00:15:14,480
不过
385
00:15:14,480 --> 00:15:15,480
正如我之前所说
386
00:15:15,480 --> 00:15:19,360
我可能更倾向于选择英伟达而非微软
387
00:15:19,360 --> 00:15:21,659
但谁知道可能会改变
388
00:15:21,659 --> 00:15:23,240
但对我来说目前
389
00:15:23,240 --> 00:15:24,580
如果我持有它
390
00:15:24,580 --> 00:15:28,399
现在可能会继续增持
391
00:15:28,399 --> 00:15:29,440
但我并不持有
392
00:15:29,440 --> 00:15:32,279
因此现在无需开新仓
393
00:15:32,279 --> 00:15:36,549
我更倾向于继续投资Meta
394
00:15:36,549 --> 00:15:41,690
我认为Meta更易操作且更被低估
395
00:15:41,690 --> 00:15:42,429
相比微软
396
00:15:42,429 --> 00:15:44,620
但另一方面
397
00:15:44,620 --> 00:15:45,759
如果观察这家公司
398
00:15:45,759 --> 00:15:47,240
如果看当前业务状况
399
00:15:47,240 --> 00:15:48,409
如果看其增长潜力
400
00:15:48,409 --> 00:15:49,450
它仍然在那里
401
00:15:49,450 --> 00:15:52,929
它仍然极其极其有吸引力
402
00:15:52,929 --> 00:15:55,909
就在这游戏里
403
00:15:55,909 --> 00:15:57,379
就像我们看到的元宇宙
404
00:15:57,379 --> 00:15:59,779
除非你拿出些花里胡哨的
405
00:15:59,779 --> 00:16:02,220
模型和基准并进行市场推广
406
00:16:02,220 --> 00:16:03,679
你知道从里面出来什么
407
00:16:03,679 --> 00:16:05,349
市场不会在意
408
00:16:05,349 --> 00:16:08,668
但元宇宙今天股价630美元
409
00:16:08,668 --> 00:16:14,299
元宇宙今天突然变得比上周好那么多吗?不
410
00:16:14,299 --> 00:16:19,360
他们恰好发布了Muse Spark One,人们喜欢他们的基准
411
00:16:19,360 --> 00:16:20,700
市场喜欢它
412
00:16:20,700 --> 00:16:21,600
好的
413
00:16:21,600 --> 00:16:26,539
但一周前我们已知新Spark在持续改进
414
00:16:26,539 --> 00:16:31,289
我们知道Meta将推出新产品和服务
415
00:16:31,289 --> 00:16:35,110
我们知道最终他们会开始收费订阅
416
00:16:35,110 --> 00:16:37,759
数百万人会支付订阅费
417
00:16:37,759 --> 00:16:39,919
我们知道他们会赚很多钱
418
00:16:39,919 --> 00:16:44,509
我们也知道核心业务已盈利颇丰
419
00:16:44,509 --> 00:16:45,669
但头条新闻
420
00:16:45,669 --> 00:16:47,129
头条新闻和市场情绪
421
00:16:47,129 --> 00:16:49,889
这就是短期推动股价的因素
422
00:16:49,889 --> 00:16:56,870
尤其是从严重低估到合理估值的转变
423
00:16:56,870 --> 00:16:59,350
这就是我们等待的Meta情况
424
00:16:59,350 --> 00:17:02,269
这也是等待微软的情况
425
00:17:02,269 --> 00:17:04,089
因为数据在那里
426
00:17:04,089 --> 00:17:05,630
所以最近几个季度
427
00:17:05,630 --> 00:17:07,450
这家公司表现不佳
428
00:17:07,450 --> 00:17:09,369
这家公司做到了一点
429
00:17:09,369 --> 00:17:10,828
还记得两个月前
430
00:17:10,828 --> 00:17:12,028
Azure增长率为
431
00:17:12,028 --> 00:17:13,328
我想是三十
432
00:17:13,328 --> 00:17:14,828
八个百分点而非三
433
00:17:14,828 --> 00:17:15,628
九个百分点
434
00:17:16,788 --> 00:17:17,628
股价下跌
435
00:17:17,628 --> 00:17:20,028
我说真的
436
00:17:20,028 --> 00:17:21,068
这太荒谬了
437
00:17:21,068 --> 00:17:21,888
或者怎样
438
00:17:21,888 --> 00:17:23,509
市场有时
439
00:17:23,509 --> 00:17:25,308
当然会非理性
440
00:17:25,308 --> 00:17:28,259
尤其是在短期对长期而言
441
00:17:28,259 --> 00:17:30,660
我不认为微软会消沉
442
00:17:30,660 --> 00:17:33,720
我认为他们也会成为巨大赢家
443
00:17:33,720 --> 00:17:35,650
在这整个AI故事中
444
00:17:35,650 --> 00:17:36,509
你怎么看
445
00:17:36,509 --> 00:17:38,609
在下方评论区告诉我
446
00:17:38,609 --> 00:17:40,390
也查看下方所有链接
447
00:17:40,390 --> 00:17:41,960
我们下期再见