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Pike时政财经分析
@BigbirdflyChan
美股资深研究者和投资者,广泛阅读、持续学习,有自己投资方法和逻辑。会员群1000刀/年,还有少数名额。
586 Following    21K Followers
FED’S WILLIAMS: STRONG ECONOMY DRIVING BOND YIELDS New York Fed President John Williams says rising long-term bond yields reflect a strong U.S. economy, not growing inflation fears. He added that the labor market is solid and the Fed needs more data before its next rate decision. 纽约联储主席约翰·威廉姆斯表示,长期债券收益率上升反映的是美国经济强劲,而不是市场对通胀的担忧正在加剧。 他补充说,目前劳动力市场保持稳健,美联储在作出下一次利率决定之前,还需要观察更多经济数据。
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Jackson hole会议有关ai的摘录 1,AI的发展速度与经济增长潜力 Capital and labor have combined to create the large language models at the heart of AI. Users buy tokens to gain access to the models. Reports put annualized token sales for the two leading labs alone at more than $100 billion—an increase of 500-plus percent from a year ago. 资本和劳动力共同创造了处于AI核心地位的大语言模型。用户通过购买Token来使用这些模型。据报道,仅两家领先实验室的Token年化销售额就已超过1,000亿美元,同比增长逾500%。 2. AI可能成为新的生产要素 The Fed watches all of this attentively. We recognize that AI is a new variable—potentially a new factor of production—that will have consequences for both the economy and the conduct of monetary policy. It opens some major lines of inquiry:美联储正在密切关注这一切。我们认识到,AI是一个新的变量——甚至可能成为一种新的生产要素——它将同时影响经济运行和货币政策的实施。这带来了一些重要的研究问题: Will the application of AI cause a significant, sustained rise in productivity across the economy? And if so, when?AI的应用是否会推动整个经济体的生产率显著且持续提高?如果会,这种变化将在何时出现? Will token usage be complementary or competitive to labor? Will the next generation of AI models demand even greater capital intensity, or will the models themselves help devise a capital-light solution? Token的使用与劳动力之间究竟是互补关系,还是竞争关系?下一代AI模型是否需要投入更多资本,抑或这些模型本身能够帮助开发出资本需求较低的解决方案? 3. AI产业的收益将由谁获得 Among the other yet unknowns is the resulting market structure. It's not obvious where the returns on capital will land or on what timescale. Early on, how much of the surplus goes to owners of scarce assets—AI labs, chipmakers, energy producers, and cloud providers? Over time, how much of that value accrues to businesses and consumers? What are the broad implications for workers and for the employment side of the Fed's mandate?另一个尚未确定的问题,是AI最终会形成怎样的市场结构。资本收益最终将流向哪里、又将在多长时间内实现,目前并不明确。在发展初期,经济剩余中有多少会流向稀缺资产的所有者——包括AI实验室、芯片制造商、能源生产商和云服务提供商?随着时间推移,又有多少价值会由一般企业和消费者获得?AI将对劳动者以及美联储就业使命产生哪些广泛影响? 4. Token价格与模型分层 Likewise, we don't yet know the equilibrium price of the tokens. Might there be a heterogeneity of tokens, such that growing sums will be paid for access to the best models at the frontier? Will token prices for older models fall to the level of their marginal cost?同样,我们尚不知道Token的均衡价格。未来是否会出现明显的Token分层,使用户愿意支付越来越高的费用来使用最先进的前沿模型?较旧模型的Token价格是否会下降至其边际成本水平? 5 美联储将成立专项工作组 We will be thinking through these matters with the help of a task force on productivity and jobs. My early check-ins with the leaders of that task force, and the four others, have been encouraging.我们将借助一个专门研究生产率与就业问题的工作组,深入分析这些事项。我与该工作组以及另外四个工作组负责人的初步交流令人鼓舞。To be clear, though, their recommendations will come later and have no bearing on decisions we make in the current policy conjuncture. But I believe that for future policy challenges, this intellectual investment today will leave us far better prepared.不过需要明确的是,这些工作组的建议将在以后提出,不会影响我们在当前政策环境下所作的决定。但我相信,今天投入的这些研究工作,将使我们在应对未来政策挑战时准备得更加充分。 6. AI已经成为资本开支增长的重要动力 Business capital expenditures—the seed corn of future economic growth—are rising rapidly. The four-quarter change in investment in equipment and intangibles has been around 9 percent, its highest growth rate since 2021. More than half of the cap-ex growth this year can likely be ascribed to the buildout related to Expectations for growth in both cap-ex and corporate earnings are running quite high. I will continue to watch the change in their growth rates, the second derivative. The follow-on effects on asset prices, business confidence, consumer income, and spending are equally important to gauge.市场对资本支出和企业盈利增长的预期都相当高。我将继续观察其增长速度的变化,也就是所谓的“二阶导数”。AI投资对资产价格、企业信心、消费者收入和消费支出所产生的后续影响,同样值得密切评估。 我的看法:Warsh这篇演讲把AI视为一种可能出现的新生产要素,这是一个偏积极的看法。美联储最关心的并非单纯的技术进步,而是AI对生产率、就业、产业收益分配、Token定价以及货币政策的长期影响。Kevin同时认为,AI投资已经对现实经济产生显著作用——今年美国资本支出增长的一半以上可能来自AI建设。
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incredibly, we are seeing demand acceleration even at our scale. Customers forecasts point to our growth doubling next year, however, as I mentioned earlier, we expect to grow approximately 70% as we are supply constrained." 受制于供应链的限制,我们28财年营收只能增长70%,否则就是100%
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【NVDA财报】We expect to grow revenue by approximately 70% in fiscal 2028!! 英伟达管理层认为FY 28的收入预计可以同比增长70%yoy,远高于高于华尔街的预期45%,半导体反转二阶段开始,就剩下Jackson hole的会议二次确认了。 明天将是半导体空头投降的一天😃
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The U.S. and Iran have reportedly reached a ceasefire agreement, with an announcement expected in the coming days, RIA Novosti reported, citing Pakistani and Iranian military sources. 果然如此,如我所料😀
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昨天的一条新闻值得美股投资者关注:Washington offered to halt the naval blockade and lift sanctions on Iran in exchange for opening the Strait of Hormuz and stopping proxy attacks.美国愿意停止海上封锁并解除制裁,交换伊朗重新开放霍尔木兹海峡、停止其代理组织的袭击。 回顾我3月份分析的伊朗局势的帖子,现在依然有参考性。 一方面,hormuz海峡在美军护航下有限通行,削弱了伊朗的封锁最后底牌 另外一方面,随着伊朗石油出口被美国反封锁,国内经济面临崩溃的压力,不得不和美国达成妥协。 目前趁着中期选举,Trump的政治压力和伊朗的经济压力促使双方达成协议将是最好的结局。 一旦伊朗和美国达成协议,对于中东局势缓解,石油造成的通胀预期下降,美股风险偏好回升都将是利好。
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I wouldn't underestimate the team behind Trump. Trump himself may not be a macro economist, but the White House has access to some very capable advisers across Treasury, the NEC, and national security. Presidents don't make these decisions in isolation. Whether you agree with his policies or not, the sequencing over the past few months has been fairly disciplined—from tariffs, to the Iran operation, to managing energy prices, negotiations, and subsequent military responses. The timing of those moves has generally stayed within a controllable range. So I'm not convinced this is simply a case of "Trump doesn't know the difference between the front end and the back end." There may be a broader strategy behind it than the market is giving credit for.
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@TShirtnJeans2 @bboczeng Cut the front end, and watch the back end blow out Seriously, I don’t think Trump knows those are two different things
🚫 CLAIM: Once again, the Iranian government claims it has closed the Strait of Hormuz. This is FALSE. ✅ FACT: The Strait of Hormuz remains open for commercial vessel transit. Iran does not control it. Thousands of ships have sailed through the international waterway over the past four months.
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谷歌财报直播:Moving to investments, we are updating our full year 2026 CapEx guidance range to $195 billion to $205 billion, up from our previous estimate of $180 billion to $190 billion. The increase in the range is primarily due to an acceleration in the delivery of capacity to meet growing demand. As we previously shared, we continue to expect our CapEx to increase significantly in 2027 and will provide more details at a later date. significantly这个词暗示capex增长将会是超过35%。 我们将2026年全年资本支出指引区间从此前的1800亿至1900亿美元,上调至1950亿至2050亿美元。 此次上调主要是因为,为满足持续增长的需求,我们加快了新增产能的交付进度。 正如我们此前所说,我们仍然预计2027年的资本支出将大幅增长,并将在之后提供更多细节。
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【谷歌财报capex指引我的预期】 对于明天谷歌财报,我个人倾向认为,2027年CapEx指引大幅超过市场预期的概率较高。 原因很简单。谷歌在上一次财报电话会议,以及随后投资者会议中,两次重申2027年CapEx将“significantly increase”。在英文财报语境中,significantly通常不是象征性增加5%-10%,而是一个具有明显幅度的增长。我个人理解,大概率意味着至少30%-40%的同比增长。如果2026年CapEx约1800亿美元,那么2027年达到2200-2500亿美元,我认为是合理的预期区间。 更重要的是,目前没有看到任何支撑CapEx放缓的基本面变化,反而看到的是需求不断增强。 第一,AI Compute Demand仍然持续超预期。Google Cloud管理层此前已经明确表示,公司目前仍然处于capacity constrained状态,说明需求不是不足,而是供给跟不上。 第二,企业AI Adoption持续扩大。越来越多企业开始将生成式AI部署到生产环境,Google Cloud需要持续扩充算力满足客户需求,而不是主动放慢投资。 第三,数据中心仍在持续扩张。管理层多次提到planned data center buildouts,说明新的AI数据中心建设仍在推进,而不是进入收缩阶段。 第四,AI基础设施成本仍在上升。GPU、TPU、HBM、DRAM、网络设备以及电力基础设施成本都维持高位,即使建设规模保持不变,总CapEx也会被推高。 因此,我认为真正值得关注的不是谷歌是否增加CapEx,而是增加多少,以及管理层是否再次强调2027年CapEx将继续显著增长。如果这一表述再次得到确认,我认为对于AI基础设施、存储、网络互联等产业链仍然是积极信号。
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The bull is back. Time to charge!
I sold out of everything. Yes. Everything. Yes.. even that one. The next two weeks will be tough for most of you. Good luck.
Thanks for sharing. Memory remains the key battleground in AI investing. Reading through both the bull and bear cases, it seems that the core debate ultimately comes down to one thing: memory.
Will be back to the US next week. Talked to a few PMs during my trip in the last two weeks. I’d like to share some interesting findings: Sentiment: Overall very panicked and confused. Positioning: 1. Shanghai HFs are extremely long on memory names, partly due to the TRS restriction I mentioned a few weeks ago. They are quickly selling CN semis across the board and buying DRAM ETFs to lower margin pressure. 2. HK HFs are mixed and divided; bulls and bears are balanced. 3. US LOs are waiting—not about stock prices but still don’t believe LTAs can turn memory names from cyclical to growth valuations. 4. Macro HFs sold all of their memory/semi positions. Interesting points from both sides: Bulls: 1. Supply chain checks suggest prices and margins will remain higher for longer. 2. AI capex in 27/28 will grow much higher than most expected. 3. OAI/ATH’s ARR shows no signs of plateauing. Codex’s WAU is growing crazily right now. 4. Kimi K3’s tech report literally suggests every semi component is a bottleneck 😂 5. No macro risks; CPI/PPI much cooler. 6. Even if memory spot prices can’t go higher, these memory companies can do large buybacks or dividends to support the stock price. 7. OAI/ATH is hiring a large team of solution engineers to quickly build vertical solutions (finance/healthcare/legal) to find the next S-curve beyond coding. 8. Even if memory names fade, the entire semi sector will remain intact. Bears: 1. Higher memory prices are not sustainable and will be demand destructive. Clients will push back on further price hikes, and even the government may step in to force massive production expansion. 2. Memory prices will peak in Q4. 3. No doubt on 27 capex, but 28 capex budgets are clouded. 4. Even if fundamentals are solid, the position is extremely crowded and Korean retailers’ leverage is a huge concern. 5. Even though CSPs’ capex planning is aggressive for 27, a large portion of deliveries will be delayed due to power supply constraints. 6. No intermediate story of fast AI application adoption like AI coding. 7. Higher prices and more LTAs during the upcycle can’t prove memory names aren’t cyclical anymore. We need to see resilience during the downcycle to prove that, like memory names keeping the lower bound of margins in a downturn. 8. Memory is the core of AI: if traded memory dies, then everything dies. 9. Memory has no difference vs. other commodities such as silver, oil, or lithium carbonate. When they peak, their narrative and fundamentals all look fucking good 😄
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财报新闻摘录"Micron is investing at record levels in technology, products and supply to address our customers’ rapidly growing demand. We believe our multi-year Strategic Customer Agreements will significantly enhance the durability and predictability of Micron’s strong financial performance."公司财报新闻 美光正以前所未有的力度投资技术、产品和产能,以满足客户快速增长的需求。我们相信,这些多年期(multi-year)的战略客户协议,将显著提升公司未来财务表现的持续性(durability)以及可预测性(predictability)。 提取一些重要信息: 1.这是财报第一次明确写出:multi-year 合同,虽然没有写3年还是5年,但可以确定不是传统季度采购协议。极大增强了公司未来营收的可预测性。 2.executes Strategic Customer Agreements说明合约已经正式签订。完全确认的协议 3.这些协议与未来几年产能建设绑定。也就是说,未来几年新增DRAM/NAND/HBM产能,已经提前锁定一部分客户。 4,没有透露协议时间期限,3年还是5年,也米有透露哪些客户,协议占比营收多少?这些需要财报电话会议中了解
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I actually agree with Stifel's 2027 EPS estimate. If Micron earns around $159 per share in FY2027 and the market assigns just a 10x multiple, that's already a $1,590-$1,600 stock. With MU trading around $1,130 today, that implies roughly 40% upside even without any multiple expansion. What's even more interesting is that I don't think the $159 EPS estimate is the ceiling. Given the strength we're seeing in HBM, DRAM pricing, and AI-driven memory demand, there's still room for upward revisions over the next 12-18 months. The market is acting like we're near peak earnings. I'm not convinced we're there yet.
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Micron now trading at 6.6 times Stifel's 2027 EPS. Oh baby.