The Federal Reserve kept interest rates unchanged for the fourth time this year, though rate hikes are still expected. #Fed# #InterestRate# #RateHike# 美联储年内第四次维持利率不变 预期会有加息操作 #美联储# #利率# #加息#

高利率杀不了AI基建股的底层逻辑 The underlying logic why high interest rates won't kill AI infrastructure stocks (This article is very easy to translate) 总结：高利率压的是远期估值，但 AI 基建利润池抬的是当期现金流、毛利率、订单可见度和定价权。只要后者的上修速度大于前者的估值压缩，股价就能扛住甚至继续涨。 1. 为什么高利率杀传统成长股？ 高利率杀成长股的逻辑，本质是 DCF。 一个公司如果今天不赚钱，利润主要在 5 年、8 年、10 年以后，那么利率一上升，远期现金流折现回来就大幅缩水。 比如同样是 10 年后的 100 块现金流： 用 8% 折现，大概值 46； 用 10% 折现，大概值 39。 远期现金流对利率非常敏感。 所以传统成长股最怕的是： 今天没利润，未来讲故事；今天没现金流，估值全靠远期 TAM；今天亏损，市场愿意等，是因为利率低。 这种公司在高利率环境下会被杀得很惨，因为它的价值主要在未来。 2. 但 AI 基建利润池不是这种结构 AI 基建里真正强的公司，价值不完全来自“很远的未来”，而是来自当下正在发生的四件事： 第一，收入现在就在加速。 不是说 2030 年可能有 AI 应用，而是 hyperscaler，neocloud，主权 AI，企业 AI cluster 现在就在下订单。 第二，毛利率现在就在改善。 瓶颈环节可以涨价，或者至少可以维持价格，不被客户轻易压价。 第三，订单可见度现在就在提高。 客户锁产能，签长期协议，付预付款，给 capacity reservation，这些都会让收入更接近“确定性现金流”，而不是远期故事。 第四，现金流现在就在变好。 如果企业从“我要自己砸钱扩产赌未来”变成“客户先付钱、我扩产交付”，那它的商业模式久期就变短了。 所以 AI 基建真正的利润池公司不是典型 long duration growth，而更像： 短久期成长 + 工业瓶颈 + 定价权 + 当期利润上修。 这和普通成长股完全不同。 3. 高利率反而会强化瓶颈供应商的护城河 这点很反直觉，但很重要。 高利率会提高所有人的资本成本。对于普通公司，这是坏事；但对于已经占据瓶颈位置的龙头，有时反而是好事。 原因是： 第一，新进入者扩产更难。 高利率环境下，融资成本更高，资本市场更谨慎，新玩家更难拿钱扩产。 第二，客户更不愿意冒供应链风险。 当项目融资成本高、建设成本高、时间成本高时，客户更不敢选不成熟供应商。因为试错成本太高。 第三，成熟供应商更容易获得客户预付款和长期合同。 客户为了锁供应，会把一部分资金压力转移给自己，反而帮助龙头扩产。 所以高利率会伤害弱者，但不一定伤害强者。 对利润池公司来说，高利率可能造成一种结果： 行业总估值承压，但龙头竞争地位更强，弱玩家更难追赶，客户更集中地向可靠供应商下单。 这就是为什么不能机械地说“高利率 = AI 基建股该跌”。

好，我已经彻底领悟。 tldr：两个二阶导正在同步拐头。我的操作：做多2Y和5Y国债，做多GOOG和NBIS，不做多半导体。 第一个拐点：Fed鹰派再定价的速率见顶。 FOMC维持3.5-3.75%不变，3名委员异议支持hike，但Hammack、Kashkari、Logan已经打光了弹药还是输了，说明鹰派的天花板就在3票。Warsh也在淡化AI相关价格压力，把利率上行归因于经济强劲而非市场加息信号，暗示市场利率已经替代加息——"rates are higher today than June, markets didn't pause"。这个框架一旦建立就是结构性鸽派：只要市场利率维持在高位，Warsh就有理由按兵不动。而市场目前定价9月加息60%，但是我觉得很可能全年都利率不动。6月核心CPI -0.02%如果延续到8月PCE，前端利率会快速下行。 做多2Y是最pure的mispricing表达。加5Y是因为它同时捕获Fed路径重新定价和增长减速。避开10Y+，因为Warsh偏鸽会推高通胀预期，长端被breakeven和Q3国债供给contaminate。 第二个拐点：AI价值链从半导体建设端向云计算消费端的shift。 MSFT是AI capex叙事启动以来第一个超大规模企业没有上调capex指引，与此同时，微软Azure加速到43%固定汇率增长，Copilot付费座位突破3000万（净增1000万），Google Cloud +82% yoy。 这里的关键是价值链的时序结构。半导体订单是领先指标，云计算消费是滞后6-12个月的确认指标。现在出现了一个罕见剪刀差——半导体增长率在减速（MSFT capex收窄），但云计算消费增长率在加速（Azure 43%+Copilot 30M）。这个窗口通常只持续1-2个季度。 还有一些被忽略的细节：韩国存储专家电话会议透露LTA（长期协议）覆盖超过50%的服务器DRAM，包含预付款和take-or-pay条款。这意味着云服务商已经锁定了内存成本——明年HBM定价翻倍的预期主要由没签LTA的买家承担。半导体在卖"涨价预期"，云服务商在享受"成本锁定+消费加速"。 所以我做多云不做半导体。GOOG的Cloud +82%最猛但被反垄断压制估值，asymmetry更好。NBIS是pure-play AI云基础设施，直接表达utilization加速。不做空半导体是因为一阶导仍然很强（HBM翻倍、博通AI收入>$1万亿），做空一阶导仍然强劲的资产timing不对会被squeeze，正确的表达是不参与而非做空。 认错条件：8月核心PCE >0.25% m/m则债券thesis invalidate；Google或Amazon Q3 capex继续上调而非收窄，则AI价值链shift判断错误，本次维持capex是孤立事件。

美团的万亿参数大模型LongCat-2.0 很可能是在华为昇腾上面训练完成的。美团的官方博客提到到： full training run built entirely on AI ASIC superpods ( 这里面通过强调 ASIC，强调 alternative hardware platforms。在2026年的中国，目前能够提供“AI ASIC 超大规模超算舱”只有华为 Atlas / 昇腾 AI 集群。 还有一个直接证据： They achieved a 70% reduction in monthly failure rates through HCCL exception handling and automatic fault recovery. HCCL = Huawei Collective Communication Library

点外卖（海外中餐/Uber Eats） 外卖平台只认本地卡 现金支付？送货员不找零 汇率换算头大，实际付多了 MiPay 怎么做： USDT 扫码支付 自动按实时汇率结算本地币 免手续费，小费直接加扣 就这么简单。 Mipay下载链接： 官方中文客服群： Order takeout (overseas Chinese food/Uber Eats) The takeaway platform only recognizes local cards Cash payment? Delivery boy doesn't give change The exchange rate conversion is complicated, so you actually pay more. How to do MiPay: USDT Scan QR code to pay Automatically settle local currency at real-time exchange rates No handling fee, tips will be directly deducted It's that simple. Mipay download link: Official Chinese customer service group:

#为什么是中国# #WhyChina# The Global Logic of China's Economic Growth in the First Half of 2026: A 4.7% GDP Increase 2026年上半年GDP增长4.7%：中国经济增长的全球逻辑 According to the latest semi-annual report, China's gross domestic product (GDP) reached 69.6 trillion yuan, representing a year-on-year increase of 4.7% at constant prices, in line with the annual growth target. Against a backdrop of intertwined international complexities and volatilities, China's economic performance is commendable. Yet, a closer look at the data reveals that the logic underpinning China's economic growth is being reshaped. (I) At the Industry Level, Notable Highlights Emerge: First, new quality productive forces are being cultivated and strengthened at an accelerated pace.** In the first half of the year, industrial production grew robustly. The value-added output of the equipment manufacturing sector increased by 9.3% year-on-year, and that of high-tech manufacturing grew by 13.3%, both outpacing the overall growth rate of industrial output above a designated scale. This underscores a clear trend toward a high-end, intelligent, green, and integrated industrial structure. Looking at specific products, the output of 3D printing equipment, lithium-ion batteries, industrial robots, and other products emblematic of new quality productive forces surged. The average daily token call volume has reached hundreds of trillions, showcasing the vitality and potential of the digital and intelligent economies. Second, new growth drivers are accelerating to take on a leading role. Preliminary estimates suggest that new growth drivers—encompassing high-end manufacturing, the digital economy, and modern services—contributed over 40% to economic growth in the first half of the year. The economy's distinct shift toward a higher quality and more optimized structure is evident, and this overall trend is accelerating. For instance, industries related to artificial intelligence, such as integrated circuit manufacturing and intelligent vehicle equipment manufacturing, have all maintained high growth rates exceeding 30%, vividly illustrating the pace of China's industrial upgrading. Third, confidence on the investment front is on the rise. In the first half of the year, investment in high-tech industries grew by 4.6% year-on-year. Notably, investment in the manufacturing of aircraft, spacecraft, and equipment, computer and office equipment manufacturing, and information services grew by 23.3%, 8.1%, and 15.5%, respectively. Investment structure best reflects market expectations. The increasing "new economy content" in investments signals an acceleration in the replacement of old growth drivers with new ones. Investment in intellectual property products grew by 9.4%, indicating that enterprises are placing greater emphasis on R&D and innovation. This suggests that technological advancement is not simply about capacity expansion but about qualitative change driven by innovation. (II) Observing a Major Economy Requires Looking Beyond the Immediate Figures to the Long-term Trajectory. Behind the "new economy content" of the semi-annual report lies China's ongoing transformation from a global manufacturing hub to a global center of innovation. At the 17th Annual Meeting of the New Champions (Summer Davos), observers noted a new phenomenon: a host of unicorn companies are heading to China. They are establishing R&D centers, regional headquarters, and deeply integrating into China's innovation and industrial chains—shifting from "produced in China" to "created in China." So, why China? Economist Justin Yifu Lin, in his book *Demystifying the Chinese Economy, touched upon the theory of the "speed of technological change." He argues that the essence of the industrial revolution is not just the application of new technologies, but more fundamentally, the ever-accelerating pace of technological change. Since the mid-18th century, starting with the steam engine reshaping the textile industry, the snowball of technological change has grown, rapidly sweeping through industries like chemicals and automobiles, ultimately redrawing the geographical map of great power competition. Looking at China today, the trajectory of accelerating technological change is equally clear. A leading enterprise can drive an entire industry, which in turn can boost a whole region. These burgeoning industrial clusters, growing from saplings to forests, not only enhance production efficiency and invigorate market vitality but also effectively improve development quality and resilience. For example, specialized and sophisticated "little giant" enterprises above a designated scale in Beijing, through deep cultivation of innovation chains, supply chain collaboration, and international expansion, have become "connecting points" and "accelerators" for the dual circulation strategy. More importantly, emerging industrial clusters possess powerful spillover effects. The rapid rise of new energy vehicles is not only reshaping the automotive industry but also driving transformations in chips, software, and energy networks, allowing more sectors to gain value from efficiency improvements. The swift advancements in AI and biomedicine are sparking a "gentle qualitative change" in people's livelihoods, significantly enhancing the sense of fulfillment and well-being through smarter, more affordable products and more livable environments. (III) Looking from the First Half to the Full Year, China's Development Momentum Remains Positive. Of course, during this critical period of transitioning between old and new growth drivers, China's economy still faces lingering issues and new challenges. Some core areas are still grappling with "bottleneck" technologies, certain high-tech industries face external risks of "decoupling" and supply chain disruptions, and "involution"-style competition affects the new energy market ecosystem. However, most of these are issues arising from development and transition, and they can be addressed with effort. The supporting conditions and fundamental trends for long-term economic improvement remain unchanged. China's economic journey toward a newer, higher-quality model is itself a process of encountering new problems and solving them along the way. By maintaining confidence, proceeding steadily, and balancing both qualitative improvements and quantitative growth, China's industries are poised to be brimming with dynamism, and the Chinese economy will continue to advance steadily and sustainably. #China# #Jiangxi# #JiangxiEconomy# #世界经济看中国# #赣出新精彩#