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欢迎回来大家,今天在乔瑟夫·卡尔森节目中
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过去一周发生了许多事情,上周
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市场因半导体ETF的快速抛售而动荡
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一天半内下跌超过10%
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韩国KOSPI指数上涨8%,托姆·李
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将其描述为令人警醒的事件
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而现在我认为正在发生一些令人警醒的事
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因为预期更高了
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而今天似乎出现了一定程度的反转
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股市开始回升
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是什么导致了市场的波动
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是什么引发了这次警醒事件
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嗯
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诸多不同因素
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接下来局势将更加激烈
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我们有一周密集的
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宏观事件
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甲骨文将公布财报
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这支股票对AI故事至关重要
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他们提供所有云基础设施服务
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我将分析此次财报预期
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以及Adobe
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也将公布财报
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本周晚些时候
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我们还有传闻消息,微软
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计划大规模增发股票融资
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用于AI基础设施,此前我们曾听到过类似消息
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但当时是谷歌一周前
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我将解析
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为何支持谷歌的增发计划
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却不支持微软
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股票增发
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本周还将发布关键通胀报告
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许多投资者担忧通胀可能抬头
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在此期间
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市场正进行激烈辩论
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其中之一来自反复出现的
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AI怀疑论者与空头
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格雷厄姆·马库斯在推文中批评
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谷歌正在打造AI这一大宗商品
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即人工智能
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我们还有史蒂夫·艾森曼
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再次强调
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他认为所有AI投入最终都是大宗商品
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缺乏显著定价差异
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高度同质化
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用户频繁切换服务商
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没有护城河
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他甚至认为AI本身没有护城河
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然而这些公司正投入数百亿美元
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如果没有数万亿美元
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我已全面投资并深度布局这些豪掷千金的科技巨头
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我多次听过AI将被商品化的论调
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今天我将全面驳斥AI商品化论点
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当然我们还要回顾本周重大事件
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这次主角是萨姆·班克曼-弗里德
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FTX交易所创始人现被监禁
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许多人可能早已察觉此事
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他正服刑二十五年重刑
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但萨姆·班克曼-弗里德
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或成监狱系统中最不幸的囚犯之一
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本周重大事件我将逐一解析
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首先必须说明我们频道已有一段时间未更新
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但若想获取更规律的优质内容
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请关注约瑟夫·卡尔森晚间频道
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我的新内容长期在此频道发布
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未来仍将保持这一模式
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请订阅约瑟夫·卡尔森
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晚间频道
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已开启铃铛通知
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新视频将即时提醒
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言归正传上周市场意义重大
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原因在于
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首次见证半导体板块实质性疲软
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与此同时
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韩国COSBY暴涨8%
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触发多轮熔断机制
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背后原因有二
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首先正如我们提到
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博通发布财报投资者预期如常
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反复出现
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超预期并上调指引
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必须同时满足才能创造惊人表现
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但博通仅实现超预期未上调指引
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并重申此前相同预测
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节奏出现变化
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分析师预期出现放缓
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博通是AI交易最大赢家之一
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过去一周期间
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股价下跌17%
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绝非致命打击
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但市场反应不佳
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同期我们还看到
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强劲就业报告发布
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既是利好也是利空
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所有波动始于周五
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劳工部公布重磅就业数据
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发现美国
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失业率
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经济在五月新增了十七万两千个就业岗位
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增幅超过翻倍
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经济学家预测
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他们还上调了数据
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修正了前两个月的数据
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就业市场不仅保持稳定
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反而在蓬勃发展
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投资者此前押注
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就业增长放缓
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以及美联储降息
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但周五的报告改变了这一预期
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市场现在预期加息
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高利率环境对股市不利
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尤其是高增长AI公司
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所有这些上周都在动摇市场
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还有其他因素在影响
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例如
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一些分析师认为投资者正从其他公司撤资
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为SpaceX IPO腾挪资金
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SpaceX IPO规模巨大
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达750亿美元,将影响其他企业
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但我觉得SpaceX
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750亿美元让公众难以承担
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这在融资方式上是个巨大挑战
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因此当股市小幅波动时
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我认为人们正在筹措资金
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虽然我们可以归咎于博通报告
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或就业报告
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或投资者为SpaceX筹款
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还有萨姆·阿尔特曼的最新消息
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承认AI成本成为大问题
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公司正寻求提升价值
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因过度支出成为热议话题
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这几乎一夜之间发生
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许多企业发现使用AI实际成本高昂
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许多企业开始缩减投入
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达拉
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科沙拉希表示公司单季度耗尽年度AI预算
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他们正在削减AI开支
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限制每位开发者使用AI令牌的额度
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审慎使用AI开支此前闻所未闻
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如今众多CEO纷纷表态
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AI变得非常昂贵
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所有这些导致市场波动加剧
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不幸的是本周波动还将加剧
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本周将公布甲骨文财报
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这也是关键因素
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甲骨万不仅需亮眼营收数据
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他们肯定能实现
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还需保持数据优异
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除了指导方针
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在这种情况下指导方针将更为重要
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Oracle需要上调指导方针如果他们只是重申指导方针
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或者他们只是维持现状
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这将是又一家显示低于分析师预期增速的公司
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本周公布财报的另一家公司是Adobe
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Adobe无疑会交出亮眼数据
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但他们需要展示某种迹象
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AI并未颠覆其业务
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他们需要立即构建更强防御
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Adobe被视为拥有暂时性定价权的公司
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并存在被
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AI高概率颠覆的风险
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其市盈率仅为10倍
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自由现金流收益率达10%
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从数字上看
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市场中最便宜的优质公司之一
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单纯因为AI颠覆主题
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Adobe管理层需要证明
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产品和用户数量增长
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这是一个难讲的故事
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而市场正直接反对其观点
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在所有波动和主题中
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有一个重要议题需要讨论
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这涉及我大部分核心持仓
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当我审视我的投资组合
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我重仓布局人工智能领域
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通过四大科技巨头
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我们持有Meta
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谷歌和微软
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都在投入数百亿资本支出
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而在另一投资组合中
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我们的主题基金持有亚马逊
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这也是在AI领域投入数百亿资本支出的企业
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在这几家公司之间
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Meta
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微软
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亚马逊和谷歌
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占据了AI领域主要资本支出投入
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这引发了大量
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关于投资回报类型的争议
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许多投资者认为这种投入正在将企业变为更差的公司
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但若企业今年投入1000亿美元
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是的
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其自有现金流足以支撑
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当投入1800亿美元时
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必须融资且不限于股权
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有传言称Meta将融资
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微软也将融资
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整个科技行业正在经历变革
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因为因为它就像一项资产
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从轻资产业务转向重资产业务
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他首先指出这些公司正在从轻资产模式转向资本支出密集型模式
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导致他们可用于返还投资者的资金减少
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许多投资者
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包括史蒂夫·艾斯曼在内的人都对此表示担忧
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他们认为企业转型存在严重负面影响
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但他并未将此作为唯一担忧
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还有另一件事
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我只是想指出
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尽管投入了巨额资金
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在语言模型和基因AI领域取得的成果
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看似优秀却缺乏差异化
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产品高度同质化
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人们不断在不同产品间切换
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没有形成护城河
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尽管投入了大量资金
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所创造的成果
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在我看来仍是大宗商品
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这是史蒂夫·艾斯曼的严厉观点
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他曾准确识别过企业弱点
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但正如他在此强调
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谷歌
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Meta
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微软和亚马逊正转向重资本支出
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尽管资本支出大幅增加
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00:09:24,029 --> 00:09:25,570
他们也在投资AI
227
00:09:25,570 --> 00:09:28,830
他认为最终AI仍是大宗商品且无护城河
228
00:09:28,830 --> 00:09:31,809
史蒂夫·艾斯曼似乎受加里·马库斯影响
229
00:09:31,809 --> 00:09:35,849
至少他持有相同观点因为加里·马库斯是AI领域
230
00:09:35,849 --> 00:09:36,908
强烈怀疑者和空头
231
00:09:36,908 --> 00:09:40,549
他还曾在史蒂夫·艾斯曼播客中表达看空观点
232
00:09:40,549 --> 00:09:42,470
但他最近在推特总结了观点
233
00:09:42,470 --> 00:09:45,220
他说最终一切将分崩离析
234
00:09:45,220 --> 00:09:46,559
所有人
235
00:09:46,559 --> 00:09:49,000
甚至谷歌也在将AI
236
00:09:49,000 --> 00:09:50,659
视为某种垄断赢家
237
00:09:50,659 --> 00:09:51,820
全面压制竞争
238
00:09:51,820 --> 00:09:55,860
如同谷歌曾占据95%市场份额
239
00:09:55,860 --> 00:10:00,460
但大家都在构建相似技术方案和数据
240
00:10:00,460 --> 00:10:02,309
因此没有护城河
241
00:10:02,309 --> 00:10:03,649
若无护城河
242
00:10:03,649 --> 00:10:07,549
无人能占据90%市场且无明确赢家
243
00:10:07,549 --> 00:10:09,600
无法收取垄断价格
244
00:10:09,600 --> 00:10:10,200
相反
245
00:10:10,200 --> 00:10:12,720
将陷入大宗商品价格战
246
00:10:12,720 --> 00:10:15,700
这意味着所有人将支付过高成本
247
00:10:15,700 --> 00:10:20,269
相比在激烈竞争下微薄的利润
248
00:10:20,269 --> 00:10:23,110
这条推文获超110万次浏览
249
00:10:23,110 --> 00:10:26,809
获6700多个赞迅速走红
250
00:10:26,809 --> 00:10:29,529
因为它直指这场辩论的核心,这些公司
251
00:10:29,529 --> 00:10:30,330
包括谷歌
252
00:10:30,330 --> 00:10:34,009
实际上正在逐渐降低质量和改良程度
253
00:10:34,009 --> 00:10:37,559
首先值得提及的是他在某方面是正确的
254
00:10:37,559 --> 00:10:40,019
AI模型正在走向标准化
255
00:10:40,019 --> 00:10:40,580
例如
256
00:10:40,580 --> 00:10:43,419
如果你看看当前有多少AI模型
257
00:10:43,419 --> 00:10:45,539
现在已有数十种之多
258
00:10:45,539 --> 00:10:49,129
实际上已有超过百种不同公司的模型
259
00:10:49,129 --> 00:10:52,590
它们在各个领域的性能基准各不相同
260
00:10:52,590 --> 00:10:55,429
虽然有些稍占优势
261
00:10:55,429 --> 00:10:58,519
但其他模型也在不断超越
262
00:10:58,519 --> 00:11:02,580
例如一个月前可能是OpenAI拥有最佳模型
263
00:11:02,580 --> 00:11:04,259
下个月可能变成Grok
264
00:11:04,259 --> 00:11:06,950
再下个月可能是谷歌的Gemini等
265
00:11:06,950 --> 00:11:07,649
等等
266
00:11:07,649 --> 00:11:10,009
关键点在于可供选择的模型众多
267
00:11:10,009 --> 00:11:12,649
我完全能理解投资者的担忧
268
00:11:12,649 --> 00:11:14,720
当我们看像ASL这样的公司
269
00:11:14,720 --> 00:11:16,019
它们堪称独一无二
270
00:11:16,019 --> 00:11:18,460
没有顶级十强UV机器的名单
271
00:11:18,460 --> 00:11:21,539
或者即使有,前十名也全是ASL
272
00:11:21,539 --> 00:11:24,299
因此史蒂夫·艾斯曼认为由于模型数量众多
273
00:11:24,299 --> 00:11:26,740
该产品将失去定价权
274
00:11:26,740 --> 00:11:29,200
尽管我认同其担忧的基础
275
00:11:29,200 --> 00:11:31,099
AI已成为大宗商品
276
00:11:31,099 --> 00:11:34,139
但我不同意它们会完全失去定价权
277
00:11:34,139 --> 00:11:38,259
因为我们可以观察其他公司的类似情况
278
00:11:38,259 --> 00:11:38,860
例如
279
00:11:38,860 --> 00:11:39,960
如果我们看亚马逊
280
00:11:39,960 --> 00:11:44,240
亚马逊的主要盈利方式之一是亚马逊云服务
281
00:11:44,639 --> 00:11:47,879
亚马逊云服务在人工智能出现前就已存在
282
00:11:47,879 --> 00:11:50,419
在AI出现前已是极佳的业务
283
00:11:50,419 --> 00:11:53,690
AWS最大的产品之一是S3
284
00:11:53,690 --> 00:11:55,710
即存储服务
285
00:11:55,710 --> 00:11:58,629
简单来说就是网络存储
286
00:11:58,629 --> 00:12:03,059
但AWS的在线存储业务增长迅猛
287
00:12:03,059 --> 00:12:06,480
年增长率超过30%
288
00:12:06,480 --> 00:12:10,100
每个季度增长至600亿美元以上
289
00:12:10,100 --> 00:12:12,820
甚至在2022年前AI阶段
290
00:12:12,820 --> 00:12:14,820
在此期间
291
00:12:14,820 --> 00:12:17,840
AWS的运营利润率高达30%
292
00:12:17,840 --> 00:12:20,539
那么AWS是如何销售存储服务
293
00:12:20,539 --> 00:12:25,629
却获得远超大宗商品利润率的收益
294
00:12:25,629 --> 00:12:31,470
AWS通过持久化存储、全球可用性权限
295
00:12:31,470 --> 00:12:33,169
版本控制生命周期策略
296
00:12:33,169 --> 00:12:33,929
集成能力
297
00:12:33,929 --> 00:12:34,950
数据分析
298
00:12:34,950 --> 00:12:36,330
安全合规
299
00:12:36,330 --> 00:12:37,379
开发者信任
300
00:12:37,379 --> 00:12:40,799
除了围绕存储开发的数千种工具
301
00:12:40,799 --> 00:12:43,500
能够处理、操作和处理数据
302
00:12:43,500 --> 00:12:45,809
能够以各种方式使用数据
303
00:12:45,809 --> 00:12:48,009
存储本身是基础资源
304
00:12:48,009 --> 00:12:51,210
亚马逊为包装存储所做的所有工作
305
00:12:51,210 --> 00:12:52,860
使其具备可分发性
306
00:12:52,860 --> 00:12:53,919
使其具备安全性
307
00:12:53,919 --> 00:12:56,129
使其易于客户使用
308
00:12:56,129 --> 00:12:57,529
但这并非基础资源
309
00:12:57,529 --> 00:13:01,149
仅有少数公司能部分匹配亚马逊的服务
310
00:13:01,149 --> 00:13:07,899
亚马逊在首个gemini模型公开前就已提供这些服务
311
00:13:07,899 --> 00:13:09,980
谷歌云发展迅速
312
00:13:09,980 --> 00:13:12,899
年增长率保持快速步伐
313
00:13:12,899 --> 00:13:17,419
主要销售与亚马逊云存储相同的产品
314
00:13:17,419 --> 00:13:18,799
以及基础设施
315
00:13:18,799 --> 00:13:20,539
这体现了重要观点
316
00:13:20,539 --> 00:13:22,799
什么赋予基础资源定价权
317
00:13:22,799 --> 00:13:25,190
就像将基础资源
318
00:13:25,190 --> 00:13:27,190
转化为可分发的服务
319
00:13:27,190 --> 00:13:30,139
围绕该资源添加各种功能
320
00:13:30,139 --> 00:13:34,049
使基础资源从无定价权
321
00:13:34,049 --> 00:13:35,830
转变为具备显著定价权
322
00:13:35,830 --> 00:13:40,340
这些公司并非唯一案例
323
00:13:40,340 --> 00:13:42,320
将基础资源提升至更高价值
324
00:13:42,320 --> 00:13:44,360
可举例Spotify
325
00:13:44,360 --> 00:13:47,519
Spotify是授权音乐的分销商
326
00:13:47,519 --> 00:13:51,710
他们并不拥有所售音乐,版权归属唱片公司
327
00:13:51,710 --> 00:13:58,059
Spotify销售的产品在其他平台有相同内容
328
00:13:58,059 --> 00:13:59,940
可访问YouTube Premium
329
00:13:59,940 --> 00:14:01,340
可访问Apple Music
330
00:14:01,340 --> 00:14:05,490
还可通过十余个流媒体平台收听
331
00:14:05,490 --> 00:14:08,570
Spotify本质上是基础产品
332
00:14:08,570 --> 00:14:14,149
但该公司已攫取巨大定价权,过去利润率持续增长
333
00:14:14,149 --> 00:14:15,110
过去十二个月
334
00:14:15,110 --> 00:14:17,860
净利润超过三十亿美元
335
00:14:17,860 --> 00:14:22,440
自由现金流快速增长,未来仍将延续
336
00:14:22,440 --> 00:14:25,559
音乐本身可能是基础产品
337
00:14:25,559 --> 00:14:30,159
Spotify提供的服务是围绕资源的优势
338
00:14:30,159 --> 00:14:31,389
分发渠道
339
00:14:31,389 --> 00:14:32,309
算法推荐
340
00:14:32,309 --> 00:14:33,190
排名系统
341
00:14:33,190 --> 00:14:35,870
应用内的社交功能
342
00:14:35,870 --> 00:14:37,210
用户界面设计
343
00:14:37,210 --> 00:14:41,029
所有这些都影响资源获取体验
344
00:14:41,029 --> 00:14:43,169
Netflix同样是混合案例
345
00:14:43,169 --> 00:14:45,830
Netflix创作的内容并非基础资源
346
00:14:45,830 --> 00:14:47,250
因其制作原创内容
347
00:14:47,250 --> 00:14:51,330
但其核心价值在于内容授权
348
00:14:51,330 --> 00:14:52,509
播放他人制作的剧集
349
00:14:52,509 --> 00:14:55,009
并通过Netflix实现更好发现
350
00:14:55,009 --> 00:14:56,110
更好的推荐内容
351
00:14:56,110 --> 00:14:57,649
更精准的用户画像
352
00:14:57,649 --> 00:14:59,568
更优质的展示内容
353
00:14:59,568 --> 00:15:00,369
总体而言
354
00:15:00,369 --> 00:15:03,928
这款应用让价值成为人们付费Netflix的原因
355
00:15:03,928 --> 00:15:05,688
因为他们知道效果会很好
356
00:15:05,688 --> 00:15:06,948
他们能够发现
357
00:15:06,948 --> 00:15:08,210
自己想看的剧集
358
00:15:08,210 --> 00:15:10,590
并且总能有新鲜内容可看
359
00:15:10,590 --> 00:15:14,370
人们并不在意是否仅限Netflix独有
360
00:15:14,370 --> 00:15:15,850
他们只想获得娱乐
361
00:15:15,850 --> 00:15:18,049
另一个商品化产品的例子
362
00:15:18,049 --> 00:15:21,629
最终赚取远超商品定价利润的德州公路餐厅
363
00:15:21,629 --> 00:15:24,859
我们可以查看德州公路餐厅的资本回报率
364
00:15:24,859 --> 00:15:29,099
这与投入资本回报率非常相似且可互换
365
00:15:29,099 --> 00:15:31,799
这仅将债务因素纳入考量
366
00:15:31,799 --> 00:15:35,759
但德州公路餐厅的ROC为十七点
367
00:15:35,759 --> 00:15:36,740
百分之七
368
00:15:41,159 --> 00:15:45,100
资本回报率在八到十二之间
369
00:15:45,100 --> 00:15:49,259
这通常是完全商品化产品的典型回报
370
00:15:49,259 --> 00:15:54,600
然而德州公路餐厅的资本回报率在十七到二十个百分点,几乎是两倍
371
00:15:54,600 --> 00:15:56,078
远超商品化产品的回报
372
00:15:56,078 --> 00:16:00,559
德州公路餐厅如何获得两倍于商品化产品的资本回报
373
00:16:00,559 --> 00:16:02,279
当他们销售的是牛排
374
00:16:02,279 --> 00:16:04,259
这本身就是一种纯粹的商品
375
00:16:04,259 --> 00:16:05,700
任何人都能销售牛排
376
00:16:05,700 --> 00:16:08,340
进入该行业没有任何壁垒
377
00:16:08,340 --> 00:16:10,120
这里有一个共同主题
378
00:16:10,120 --> 00:16:13,080
德州公路餐厅并非单纯销售牛排
379
00:16:13,080 --> 00:16:15,850
他们销售的是服务
380
00:16:15,850 --> 00:16:16,970
一致性
381
00:16:16,970 --> 00:16:20,049
提供的愉悦体验
382
00:16:20,049 --> 00:16:23,318
其他企业难以复制这种商品化
383
00:16:23,318 --> 00:16:27,139
整合所有围绕牛排销售的操作流程
384
00:16:27,139 --> 00:16:28,538
以及销售方式
385
00:16:28,538 --> 00:16:34,120
如何高效、优质且一致地服务每位顾客才是核心竞争力
386
00:16:34,120 --> 00:16:38,370
正是这一点让他们获得二十个百分点的超额回报
387
00:16:38,370 --> 00:16:40,490
而非八个百分点的资本回报
388
00:16:40,490 --> 00:16:43,269
因此马库斯和史蒂夫得出的结论是错误的
389
00:16:43,269 --> 00:16:44,370
在这里他们认为
390
00:16:44,370 --> 00:16:46,570
因为其他人可以复制产品
391
00:16:46,570 --> 00:16:48,690
或产品本身是商品
392
00:16:48,690 --> 00:16:50,470
就意味着没有护城河
393
00:16:50,470 --> 00:16:52,279
但这显然不成立
394
00:16:52,279 --> 00:16:55,200
这就像说Spotify没有护城河
395
00:16:55,200 --> 00:16:57,659
德州公路餐厅没有护城河
396
00:16:57,659 --> 00:16:59,460
Netflix没有护城河
397
00:16:59,460 --> 00:17:02,200
或亚马逊AWS没有护城河
398
00:17:02,200 --> 00:17:05,440
这些公司都成功将本质是商品的产品转化为护城河
399
00:17:05,440 --> 00:17:09,348
并将它整合成一个生态系统和基础架构,使其能够
400
00:17:09,348 --> 00:17:11,888
从而能够提取高于商品定价的收益
401
00:17:11,888 --> 00:17:14,269
这并非关于谁拥有最好的模型
402
00:17:14,269 --> 00:17:15,990
或存在多少模型
403
00:17:15,990 --> 00:17:18,769
而是关于哪些公司真正拥有分销能力
404
00:17:18,769 --> 00:17:20,430
全栈整合能力
405
00:17:20,430 --> 00:17:24,029
能够安全高效分发的完整基础架构
406
00:17:24,029 --> 00:17:26,849
这些公司将能获得更高的定价权
407
00:17:26,849 --> 00:17:29,210
因为他们聚集了大量AI需求
408
00:17:29,210 --> 00:17:33,559
需要重点解决的另一个问题是这些公司是否会质量下降
409
00:17:33,559 --> 00:17:37,160
从资本捕捞公司转向重资产公司
410
00:17:37,160 --> 00:17:39,480
整个科技行业正在经历转型
411
00:17:39,480 --> 00:17:41,240
因为因为它如此
412
00:17:41,240 --> 00:17:42,039
就像一种资产
413
00:17:42,039 --> 00:17:44,500
从资产轻型业务转向资产密集型业务
414
00:17:44,500 --> 00:17:48,799
这些公司真的在从轻资产转向重资产吗
415
00:17:48,799 --> 00:17:50,660
这个问题的答案是肯定的
416
00:17:50,660 --> 00:17:54,619
这些公司正从轻资本业务转向重资本业务
417
00:17:54,619 --> 00:18:01,069
从基本财务理论看这是从更具吸引力的企业变为更不具吸引力的企业
418
00:18:01,069 --> 00:18:04,049
这是我长期坚信的观点
419
00:18:04,049 --> 00:18:07,269
但随着时间推移我的看法有所调整
420
00:18:07,269 --> 00:18:13,289
实际上我认为在许多情况下重资产并不意味着企业质量下降
421
00:18:13,289 --> 00:18:17,279
有许多公司需要更多投入且利润率较低
422
00:18:17,279 --> 00:18:21,719
但历史上证明是优质投资标的
423
00:18:21,719 --> 00:18:23,058
比如Costco
424
00:18:23,058 --> 00:18:27,838
Costco管理层在财报电话会上反复强调
425
00:18:27,838 --> 00:18:29,459
他们不关注利润率
426
00:18:29,459 --> 00:18:30,888
他们不关心利润率
427
00:18:30,888 --> 00:18:33,380
他们专注于营收增长
428
00:18:33,380 --> 00:18:35,839
不断扩展业务
429
00:18:35,839 --> 00:18:40,429
通过开设昂贵仓库和物业
430
00:18:40,429 --> 00:18:43,730
但使其运营效率极高
431
00:18:43,730 --> 00:18:44,569
正因为如此
432
00:18:44,569 --> 00:18:48,250
他们能从营收中提取极小利润
433
00:18:48,250 --> 00:18:48,809
他们产生的营收
434
00:18:48,809 --> 00:18:51,150
利润率仅3%
435
00:18:51,150 --> 00:18:53,690
运营利润率低于4%
436
00:18:53,690 --> 00:18:56,460
毛利率仅12%
437
00:18:56,460 --> 00:18:57,960
从数据来看
438
00:18:57,960 --> 00:19:00,660
这是可观察到的最低利润率业务之一
439
00:19:00,660 --> 00:19:04,039
尽管Costco运营为超低利润率公司
440
00:19:04,039 --> 00:19:07,279
却享有股市最高估值之一
441
00:19:07,279 --> 00:19:08,319
市盈率高达50倍
442
00:19:08,319 --> 00:19:12,588
当前市盈率50倍,预期市盈率45倍
443
00:19:12,588 --> 00:19:16,359
投资者愿意为每1美元盈利支付40多倍
444
00:19:16,359 --> 00:19:19,140
因为他们知道虽然公司利润率低
445
00:19:19,140 --> 00:19:20,099
但非常稳定
446
00:19:20,099 --> 00:19:21,279
可靠
447
00:19:21,279 --> 00:19:24,759
并将持续产生超额收益
448
00:19:24,759 --> 00:19:26,440
因此成为重资产企业
449
00:19:26,440 --> 00:19:29,319
即使更低的利润率并不一定是坏事
450
00:19:29,319 --> 00:19:32,380
这并不意味着它们无法实现资本的高回报
451
00:19:32,380 --> 00:19:34,720
我们将观察这些公司在未来一年的表现
452
00:19:34,720 --> 00:19:39,779
但我依然乐观认为它们通过分销将获得超额收益
453
00:19:39,779 --> 00:19:41,119
凭借其基础设施
454
00:19:41,119 --> 00:19:44,119
他们应该能找到多种变现产品的方式
455
00:19:44,119 --> 00:19:46,680
即使该基础产品属于大宗商品
456
00:19:46,680 --> 00:19:50,789
在此之际,我们获悉Meta正在考虑大规模股权融资
457
00:19:50,789 --> 00:19:53,309
这与我们之前听到的谷歌情况类似
458
00:19:53,309 --> 00:19:56,690
事实上,这看起来像是Meta在模仿谷歌
459
00:19:56,690 --> 00:20:00,519
他们看到谷歌通过稀释股东权益获得大量资金
460
00:20:00,519 --> 00:20:01,160
比如一点
461
00:20:01,160 --> 00:20:04,960
Meta表示或许我们现在也可以这样做
462
00:20:04,960 --> 00:20:06,240
我同时持有这两家公司
463
00:20:06,240 --> 00:20:07,359
Meta和谷歌
464
00:20:07,359 --> 00:20:09,380
就谷歌而言
465
00:20:09,380 --> 00:20:11,039
这种稀释对股东有利
466
00:20:11,039 --> 00:20:12,799
但我不看好Meta的做法
467
00:20:12,799 --> 00:20:15,660
我希望他们不要这么做,原因有二
468
00:20:15,660 --> 00:20:18,460
我支持谷歌的两个不同原因
469
00:20:18,460 --> 00:20:20,460
我认为这是他们的明智策略
470
00:20:20,460 --> 00:20:21,839
但不适用于Meta
471
00:20:21,839 --> 00:20:25,779
首先看估值,谷歌的市盈率(P/E)
472
00:20:25,779 --> 00:20:28,190
目前约为三十倍
473
00:20:28,190 --> 00:20:30,329
谷歌的P/E在34倍左右
474
00:20:30,329 --> 00:20:31,609
而Meta的市盈率
475
00:20:31,609 --> 00:20:33,369
目前为十九倍
476
00:20:33,369 --> 00:20:36,759
Meta的估值远低于同行
477
00:20:36,759 --> 00:20:39,298
当稀释股东权益时
478
00:20:39,298 --> 00:20:42,480
成本将远高于谷歌
479
00:20:42,480 --> 00:20:43,400
谷歌正在这样做
480
00:20:43,400 --> 00:20:44,059
例如
481
00:20:44,059 --> 00:20:46,519
为了筹集八十亿美元
482
00:20:46,519 --> 00:20:48,500
谷歌需稀释约一点八个百分点
483
00:20:48,500 --> 00:20:52,009
Meta要筹集相同金额八十亿美元
484
00:20:52,009 --> 00:20:55,128
需稀释五到六个百分点
485
00:20:55,128 --> 00:20:57,920
这意味着大幅稀释
486
00:20:57,920 --> 00:20:59,519
即使稀释任何比例
487
00:20:59,519 --> 00:21:00,839
当股价如此低迷时
488
00:21:00,839 --> 00:21:02,400
这显然不明智
489
00:21:02,400 --> 00:21:05,319
如果Meta的市盈率升至三十倍
490
00:21:05,319 --> 00:21:07,200
我不会反对他们的做法
491
00:21:07,200 --> 00:21:07,880
我认为这会合理
492
00:21:07,880 --> 00:21:10,309
在这种情况下确实可行
493
00:21:10,309 --> 00:21:12,890
但在十九倍市盈率下毫无意义
494
00:21:12,890 --> 00:21:18,109
其次,我认为Meta投资者对此反应会更负面
495
00:21:18,109 --> 00:21:21,480
不仅因稀释成本更高
496
00:21:21,480 --> 00:21:27,609
更因为当前Meta投资者更关注资本回报率
497
00:21:27,609 --> 00:21:31,549
谷歌已证明其资本回报率尚可
498
00:21:31,549 --> 00:21:33,730
至少投资者对此有信心
499
00:21:33,730 --> 00:21:34,450
但借助元宇宙
500
00:21:34,450 --> 00:21:35,789
这仍然是个大问号
501
00:21:35,789 --> 00:21:39,740
因此我认为这可能对元宇宙的股价造成更严重的负面影响
502
00:21:39,740 --> 00:21:40,779
比对谷歌的影响更大
503
00:21:40,779 --> 00:21:42,930
尽管这只是传闻消息
504
00:21:42,930 --> 00:21:47,589
我希望元宇宙能找到不同于稀释股东权益的融资方式
505
00:21:47,589 --> 00:21:47,849
现在
506
00:21:47,849 --> 00:21:48,990
本周失败案例揭晓
507
00:21:48,990 --> 00:21:53,349
我们有FDX联合创始人萨姆·班克曼·弗里德
508
00:21:57,190 --> 00:22:01,019
班克曼·弗里德正在服刑两年半
509
00:22:01,019 --> 00:22:05,259
因2024年被判定犯有欺诈和洗钱罪
510
00:22:05,259 --> 00:22:08,299
我们已知特朗普总统喜欢赦免他人
511
00:22:08,299 --> 00:22:09,240
出于某种原因
512
00:22:09,240 --> 00:22:10,039
他已赦免
513
00:22:10,039 --> 00:22:11,819
在其第二个任期内数百人
514
00:22:11,819 --> 00:22:15,269
萨姆·班克曼·弗里德认为或许有机会
515
00:22:15,269 --> 00:22:16,690
这可能是个渺茫的机会
516
00:22:16,690 --> 00:22:19,990
但毕竟特朗普曾赦免过
517
00:22:19,990 --> 00:22:23,950
萨姆·班克曼·弗里德毕竟特朗普赦免过欺诈者
518
00:22:23,950 --> 00:22:25,650
过去还有特雷弗·米勒顿
519
00:22:25,650 --> 00:22:29,250
尼克罗拉公司创始人被控欺诈投资者
520
00:22:29,250 --> 00:22:34,900
大量证据显示其公司陈述和声明不实
521
00:22:34,900 --> 00:22:36,940
但他已被特朗普总统赦免
522
00:22:36,940 --> 00:22:39,500
如今萨姆·班克曼·弗里德认为可能有机会
523
00:22:39,500 --> 00:22:41,929
现在他认为时机已到
524
00:22:41,929 --> 00:22:44,388
或许能说服特朗普
525
00:22:45,848 --> 00:22:46,888
他是个个体
526
00:22:46,888 --> 00:22:48,828
不应判两年半监禁
527
00:22:48,828 --> 00:22:51,009
当我审视萨姆·班克曼·弗里德的案件
528
00:22:51,009 --> 00:22:52,589
对此我感到复杂
529
00:22:52,589 --> 00:22:54,690
首先他确实自掘坟墓
530
00:22:54,690 --> 00:22:55,829
在某种程度上
531
00:22:55,829 --> 00:22:58,349
萨姆·班克曼·弗里德确实欺诈了投资者
532
00:22:58,349 --> 00:23:01,750
FDX客户将资金投入加密货币
533
00:23:01,750 --> 00:23:05,869
相信资金被合法保管用于他们
534
00:23:05,869 --> 00:23:06,329
然而
535
00:23:06,329 --> 00:23:10,170
检察官证实萨姆·班克曼·弗里德秘密转移资金
536
00:23:10,170 --> 00:23:12,559
并将资金转入自己的交易公司
537
00:23:12,559 --> 00:23:15,440
随后用于不同风投项目交易
538
00:23:15,440 --> 00:23:16,900
他进行房地产交易
539
00:23:16,900 --> 00:23:18,940
进行高管贷款交易
540
00:23:18,940 --> 00:23:21,079
还用于政治捐款
541
00:23:21,079 --> 00:23:22,759
所有行为均属欺诈
542
00:23:22,759 --> 00:23:26,140
萨姆·班克曼·弗里德隐瞒资金用途
543
00:23:26,140 --> 00:23:28,380
挪用他人资金属违法
544
00:23:28,380 --> 00:23:30,380
通常会导致监禁
545
00:23:30,380 --> 00:23:31,559
但我也认为
546
00:23:31,559 --> 00:23:35,779
萨姆·班克曼·弗里德是监狱中最幸运的人之一
547
00:23:35,779 --> 00:23:36,339
首先
548
00:23:36,339 --> 00:23:39,779
山姆·班克曼-弗里德用这笔钱进行的一项投资
549
00:23:39,779 --> 00:23:41,380
他非法交易的那部分资金
550
00:23:41,380 --> 00:23:45,480
他向Anthropic投资了五亿美元
551
00:23:45,480 --> 00:23:46,460
七点八
552
00:23:46,460 --> 00:23:51,650
占公司4%的股份,以说明这笔投资的实际价值
553
00:23:51,650 --> 00:23:55,130
如今可能价值上百亿美元
554
00:23:55,130 --> 00:23:58,750
他最初用非法所得进行的投资
555
00:23:58,750 --> 00:24:01,259
最终成为有史以来最成功的风投之一
556
00:24:01,259 --> 00:24:03,200
他将五亿美元
557
00:24:03,200 --> 00:24:07,388
可能变成了七十到一百亿美元的投资
558
00:24:07,388 --> 00:24:11,048
这将是历史上最伟大的科技投资之一
559
00:24:11,048 --> 00:24:13,568
唯一的问题是他用错了钱
560
00:24:13,568 --> 00:24:15,000
而且时机也错了
561
00:24:15,000 --> 00:24:19,140
山姆·班克曼-弗里德非常不幸的是,加密货币崩盘发生在
562
00:24:19,140 --> 00:24:21,450
Anthropic的全部价值被兑现之前
563
00:24:21,450 --> 00:24:22,970
或者至少变得明显之前
564
00:24:22,970 --> 00:24:26,269
这次时机对山姆·班克曼-弗里德来说极为不幸
565
00:24:26,269 --> 00:24:27,710
如果从这个角度思考
566
00:24:27,710 --> 00:24:31,950
如果加密货币崩盘只晚几个月发生
567
00:24:31,950 --> 00:24:34,390
FTX本不会资不抵债
568
00:24:34,390 --> 00:24:39,890
他们完全有能力用风投收益支付所有客户
569
00:24:39,890 --> 00:24:44,549
仅Anthropic这笔投资就足以覆盖所有账户
570
00:24:44,549 --> 00:24:46,388
包括任何收益
571
00:24:46,388 --> 00:24:48,469
这纯粹是时机问题
572
00:24:48,469 --> 00:24:51,108
山姆·班克曼-弗里德是自己愚蠢的受害者
573
00:24:51,108 --> 00:24:52,648
用错了资金
574
00:24:52,648 --> 00:24:55,029
但他也是时机不济的受害者
575
00:24:55,029 --> 00:24:57,549
如果所有事情晚几个月成功
576
00:24:57,549 --> 00:25:00,289
他不会坐牢五年
577
00:25:00,289 --> 00:25:04,609
山姆·班克曼-弗里德特别不幸的一点是
578
00:25:04,609 --> 00:25:07,699
FTX是历史上规模最大的欺诈案之一
579
00:25:07,699 --> 00:25:11,398
所有涉案人员预计都将全额追回
580
00:25:11,398 --> 00:25:13,179
不仅收回全部投资
581
00:25:13,179 --> 00:25:16,119
还要追加18%到20%的利息
582
00:25:16,119 --> 00:25:21,079
他面临巨额欺诈,需全额还款并加利息
583
00:25:21,079 --> 00:25:23,179
这种情况在某些案例中很独特
584
00:25:23,179 --> 00:25:25,578
即使是像伯纳德·麦道夫这样的大欺诈案
585
00:25:25,578 --> 00:25:27,098
也能追回大部分资金
586
00:25:27,098 --> 00:25:30,079
能追回90%以上的资金
587
00:25:30,079 --> 00:25:33,259
但很少能全额追回
588
00:25:33,259 --> 00:25:35,799
而在欺诈案件中
589
00:25:35,799 --> 00:25:37,888
更罕见的是追回超百倍
590
00:25:37,888 --> 00:25:39,489
这极为罕见
591
00:25:39,489 --> 00:25:42,970
山姆·班克曼-弗里德已退还投资者本金加利息
592
00:25:42,970 --> 00:25:44,970
并面临五年监禁
593
00:25:44,970 --> 00:25:47,210
这就是本周失败者
594
00:25:47,210 --> 00:25:48,529
本期到此结束
595
00:25:48,529 --> 00:25:50,359
希望你喜欢,我们下期再见