SpaceX Investors Are Not Ready For This

以下是播客讨论的总结，涵盖了所有提及的新闻项目： 播客章节讨论了谷歌和特斯拉最近的财报，重点关注了它们的资本支出（CapEx）以及这对于AI行业和其他科技巨头的更广泛影响。 **关键新闻项目和讨论要点：** **谷歌 (Google)：** * **季度业绩和资本支出：** 与特斯拉同日发布季度业绩。谷歌的资本支出被形容为“令人震惊”、“疯狂”和“不可思议”。 * **谷歌云增长：** 谷歌云同比增长82%，目前营收有望达到1000亿美元。 * **资本支出预测：** 谷歌今年的资本支出预计为1950亿至2050亿美元，预计明年还会更高。 * **股价表现：** 录制时，谷歌股价下跌7-10%。 * **负自由现金流（FCF）：** 自上市（约22年前）以来首次报告负自由现金流，这归因于对未来机会（主要是AI）的积极投资。 * **AI投资规模：** 这次自由现金流下降表明谷歌在AI领域看到了“巨大的机遇”，这表示他们“将所有资金都投入到AI中”。 * **投资资本回报率（ROIC）：** 谷歌自上市以来25年的平均投资资本回报率为32%。 * **AI战略：** 谷歌被认为通过强大的搜索、云和芯片业务成功应对了AI转型。AI模型的碎片化被认为对谷歌有利，使其能够作为芯片和云服务提供商获利。 * **资本支出对比：** 资本支出被比作“今年军费预算的20%”。 * **投资组合公司：** 谷歌持有SpaceX 10%的股份和Anthropic“相当大一部分”股份。Waymo估值1200亿美元。本季度Anthropic实现了“千亿美元的市值重估”（暗示收益）。 * **谷歌云平台（GCP）：** 被认为是AI最适合的企业层，因为它拥有现有的企业数据（电子邮件、云端硬盘）、其模型无关性，并允许用户运行任何模型或工作流。 * **Grok在GCP上：** Grok（SpaceX AI）可在谷歌云的同类产品中使用，如表格和文档。 * **最坏情况：** 即使谷歌的应用层和模型未能成功，他们仍然拥有“世界上最好的基础设施”，可以“印钞”。 * **向SpaceX AI付款：** 谷歌目前每月向SpaceX AI支付9.2亿美元（近10亿美元），以获取SpaceX AI的一部分AI计算资源。 **特斯拉 (Tesla)：** * **季度业绩：** 与谷歌同日发布季度业绩。 * **资本支出飙升：** 特斯拉的资本支出同比飙升142%。 * **资本支出预期：** 他们预计资本支出为250亿美元。 * **股价表现：** 录制时，特斯拉股价下跌14%。 * **负自由现金流：** 也报告了负自由现金流。 **SpaceX / SpaceX AI：** * **股价表现：** SpaceX股价较首日收盘价下跌30%，目前交易价格为1.5万亿美元（低于此前“埃隆效应”下的2万亿美元IPO估值）。 * **IPO规模：** 被形容为“前所未有的大规模”IPO。 * **演讲者立场：** 演讲者（Solving the Money Problem / SMR）仍在SpaceX中“建立仓位”，认为较低的价格有利于积累。 * **SpaceX AI计算优势：** SpaceX AI被认为能够比谷歌等公司“更快、更经济地”提供AI计算能力。 * **SpaceX AI营收：** SpaceX AI目前其AI计算业务的年化营收接近“每年300亿美元”。 * **StarMind：** 被提及为“轨道AI计算”，有可能在太空拥有“多达100万个数据中心”。 * **星舰第13次飞行：** 今天发生了一次“极其成功的试飞”，在印度洋进行了“软溅落”。尽管上升过程中“动态压力显著更高”，但隔热罩“基本完好”。船载摄像头持续传输视频。星舰被视为StarMind的推动者。 * **估值论点：** 演讲者20年SpaceX估值模型中最大的单一利润中心是**AI计算**，而不是星链、发射或AI产品。 * **Colossus：** SpaceX AI的“Colossus”AI计算基础设施被指出带来了“巨额”回报。 * **Grok可用性：** Grok现在作为嵌入式AI代理在微软Office套件中可用。 **苹果 (Apple)：** * **资本配置批评：** 苹果公司因其过去十年的资本配置策略而受到严厉批评。 * **股票回购与股息：** 苹果公司已经回购了“一半的股票”，返还了“数千亿美元的利润”。具体来说，过去十年共计9000亿美元用于股票回购，1400亿美元用于股息（总计1.04万亿美元）。 * **“能力问题”：** 这种策略被认为是苹果这样规模的公司“巨大的能力问题”和“极其令人尴尬”的，认为他们未能发现重大的未来投资机会。 * **苹果网络服务：** 讨论了“苹果网络服务”的设想是一个错失的机会，承认建立“五个九”（99.999%）可靠性的云服务提供商非常困难。蒂姆·库克不被视为这项事业的合适领导者。 **市场和AI的一般性观察：** * **市场反应：** 市场对资本支出反应“失望”或“迟钝”，导致股价下跌，尽管这被认为是强劲的未来投资。 * **对智能的需求：** 坚信“对智能的需求在未来几十年将近乎无限”。 * **AI的民主化：** 超智能正在民主化，模型成本同时下降，且变得更加智能。 * **对AI计算的需求：** 直接与对智能的需求挂钩，“对AI计算的需求在未来几十年也将近乎无限”。AI计算效率的提高并不会减少无限的需求，它只是意味着“更高的性价比”。 * **云服务提供商可靠性：** 实现云服务“五个九的可靠性和正常运行时间”极其昂贵，成本“数千亿美元”，只有少数“市场参与者”能够做到（暗示亚马逊、微软、谷歌）。 播客最后是演讲者Patreon的推广，其中特斯拉和SpaceX的详细20年估值模型将很快发布，以及AG1的赞助广告。

Here's a summary of the podcast discussion, including every news item mentioned: The podcast chapter discusses the recent earnings reports of Google and Tesla, focusing heavily on their capital expenditures (CapEx) and the broader implications for the AI industry and other tech giants. **Key News Items & Discussion Points:** **Google:** * **Q-Results & CapEx:** Reported Q-results on the same day as Tesla. Google's CapEx was described as having "blown the doors off," "insane," and "outrageous." * **Google Cloud Growth:** Google Cloud is growing 82% year-over-year and is now on a $100 billion revenue runway. * **CapEx Forecast:** Google's CapEx is forecast to be $195 billion to $205 billion this year, with expectations for it to be even higher next year. * **Stock Performance:** Google's stock was down 7-10% at the time of recording. * **Negative Free Cash Flow (FCF):** Reported negative FCF for the first time *ever* since its IPO (approximately 22 years ago), attributed to aggressive investment in future opportunities, primarily AI. * **AI Investment Scale:** This FCF dip signifies the "scale of the opportunity" Google sees in AI, indicating they're "spending it all on AI." * **Return on Invested Capital (ROIC):** Google's 25-year average ROIC since going public has been 32%. * **AI Strategy:** Google is seen as successfully navigating the AI transition with strong search, cloud, and silicon businesses. Fragmentation in AI models is viewed as beneficial for Google, allowing them to profit as a silicon and cloud provider. * **CapEx Comparison:** CapEx spending is compared to "20% of this year's military budget." * **Portfolio Companies:** Google owns 10% of SpaceX and a "good chunk" of Anthropic. Waymo is valued at $120 billion. A "hundred billion dollar mark to market" (implied gain) on Anthropic was noted in the quarter. * **Google Cloud Platform (GCP):** Considered the best-suited enterprise layer for AI due to existing enterprise data (email, Drive), its model-agnostic nature, and allowing users to run any model or workflow. * **Grok on GCP:** Grok (SpaceX AI) is available within Google Cloud equivalents like Sheets and Docs. * **Worst-Case Scenario:** Even if Google's application layer and models don't succeed, they'll still have the "world's best infrastructure" that can "print cash." * **SpaceX AI Payment:** Google is currently paying SpaceX AI $920 million per month (nearly $1 billion) to access a portion of SpaceX AI's AI compute. **Tesla:** * **Q-Results:** Reported Q-results on the same day as Google. * **CapEx Surge:** Tesla's CapEx surged 142% year-over-year. * **CapEx Expectation:** They expect $25 billion in CapEx. * **Stock Performance:** Tesla's stock was down 14% at the time of recording. * **Negative Free Cash Flow:** Also reported negative FCF. **SpaceX / SpaceX AI:** * **Stock Performance:** SpaceX stock is down 30% from its day-one closing price, now trading at $1.5 trillion (down from a $2 trillion IPO with an "Elon pop"). * **IPO Scale:** Described as an "unprecedentedly big" IPO. * **Speaker's Position:** The speaker (Solving the Money Problem / SMR) is "still building a position" in SpaceX, finding lower prices beneficial for accumulation. * **SpaceX AI Compute Advantage:** SpaceX AI is identified as being able to bring AI compute online "much faster and also more affordably" than companies like Google. * **SpaceX AI Revenue:** SpaceX AI currently has an annualized revenue rate on its AI compute business of "not far off $30 billion a year." * **StarMind:** Mentioned as "orbital AI compute" with the potential for "up to 1 million data centers in space." * **Starship Flight 13:** An "incredibly successful test flight" occurred today, featuring a "soft splashdown" in the Indian Ocean. The heat shield was "pretty intact" despite a "significantly higher dynamic pressure" during ascent. Cameras onboard continued sending video. Starship is presented as the enabler for StarMind. * **Valuation Thesis:** The speaker's 20-year SpaceX valuation model's biggest single profit center is **AI compute**, not Starlink, launch, or AI products. * **Colossus:** SpaceX AI's "Colossus" AI compute infrastructure is noted for making "obscene" returns. * **Grok Availability:** Grok is now available in the Microsoft Office suite as an embedded AI agent. **Apple:** * **Capital Allocation Criticism:** Apple was heavily criticized for its capital allocation strategy over the last decade. * **Buybacks & Dividends:** Apple has bought back "half their stock," giving "hundreds of billions of dollars back in profits." Specifically, $900 billion in buybacks and $140 billion in dividends over the last decade (totaling $1.04 trillion). * **"Skill Issue":** This strategy is deemed a "massive skill issue" and "extremely embarrassing" for a company of Apple's scale, arguing they failed to identify major future investment opportunities. * **Apple Web Services:** The idea of "Apple Web Services" was discussed as a missed opportunity, acknowledging the difficulty of building a "five nines" reliable cloud service provider. Tim Cook is not seen as the right leader for such a venture. **General Market & AI Observations:** * **Market Reaction:** The market was "disappointed" or "retarded" in its reaction to the CapEx spending, leading to stock dips despite perceived strong future investments. * **Demand for Intelligence:** A strong belief that "demand for intelligence will be near infinite for decades to come." * **Democratization of AI:** Superintelligence is becoming democratized, with models simultaneously declining in cost and becoming more intelligent. * **Demand for AI Compute:** Directly tied to demand for intelligence, "demand for AI compute will also be near infinite for decades to come." Increased efficiency in AI compute doesn't reduce infinite demand, it just means more "bang for buck." * **Cloud Provider Reliability:** Achieving "five nines of reliability and uptime" for cloud services is extremely expensive, costing "hundreds of billions," and only a few "games in town" can manage it (implied Amazon, Microsoft, Google). The podcast concludes with a promotion for the speaker's Patreon, where detailed 20-year valuation models for Tesla and SpaceX will soon be released, and a sponsor ad for AG1.