1. 2月26日(周四)美股盘前，美股三大股指期货齐涨。截至发稿，道指期货涨0.12%，标普500指数期货涨0.08%，纳指期货涨0.02%。 | ■ US 30 | 49,540.40 | 49,541.20 | 49,360.00 | +58.10 | +0.12% | | --- | --- | --- | --- | --- | --- | | ■ US 500 | 6,952.00 | 6,958.00 | 6,930.80 | +5.90 | +0.08% | | ■ US Tech 100 | 25,333.90 | 25,369.80 | 25,218.70 | +4.90 | +0.02% | 2. 截至发稿，德国DAX指数涨0.46%，英国富时100指数涨0.19%，法国CAC40指数涨0.92%，欧洲斯托克50指数涨0.37%。 伊美第三轮谈判暂停，将于晚些时候恢复。据伊朗媒体以及阿曼方面确认，伊美在瑞士日内瓦举行的新一轮间接谈判暂停，计划于当天 晚些时候继续进行。阿曼方面表示，今日在日内瓦交换了富有创意且积极的方案，希望美伊谈判能取得更多进展。据报道，一辆据信载 有美国外交官的车队已离 ...

智通财经APP获悉，微软日本分公司负责人表示，微软公司(MSFT.US)正配合日本反垄断监管机构调 查，以回应关于Azure云服务可能存在反竞争行为的审查。此前有报道指出，日本公平交易委员会正调 查微软是否通过限制其软件仅能在Azure平台运行的方式，阻碍客户选择其他竞争对手的云服务。 此外，日本是亚洲仅次于中国的第二大经济体，是微软在全球客户争夺战中击败亚马逊AWS和谷歌云 等巨头的关键市场。2024年，微软宣布将在未来两年内投资约29亿美元，以加强其在日本的人工智能和 云计算基础设施建设。 日本公平交易委员会此次出手并非偶然，而是对全球范围内针对大型科技巨头"供应商锁定"行为监管趋 势的积极响应。监管机构担心，如果微软利用其软件授权优势变相强制用户绑定Azure服务，将严重损 害云市场的自由竞争，并推高企业数字化转型的长期成本。 因此，日本反垄断监管机构正采取日益强硬的措施，遏制其认定美国大型科技公司日益扩张的寡头垄断 态势，此举与海外监管机构立场形成协同。 随着欧盟与美国此前已对类似的捆绑行为展开深入审查，日本此次高调介入意味着全球主要经济体对云 基础设施公平准入的共识正在加强。值得一提的是，日本公平交 ...

Core Viewpoint - Microsoft's stock experienced a decline of 2.13% on February 11, 2026, closing at $404.45, primarily due to ongoing market concerns regarding the company's financial health and capital expenditure strategy [1] Company Performance - In Q2 of fiscal year 2026, Microsoft reported revenue of $81.3 billion, a year-over-year increase of 17%, and earnings per share of $4.14, exceeding expectations [2] - Despite the strong performance, market reaction was negative, driven by concerns over a slight slowdown in Azure cloud service growth, which was 39% in fixed currency growth rate, down from 40% in the previous quarter [2] - Capital expenditures surged to $37.5 billion, significantly exceeding market expectations, raising investor worries about potential short-term profit margin erosion due to AI investments [2] Industry Sector Situation - The software sector faced significant market sentiment challenges at the beginning of 2026, with concerns about AI technology disrupting traditional business models leading to a substantial pullback [3] - The iShares Expanded Tech-Software Sector ETF (IGV) experienced a decline of up to 18% at the start of the year, contributing to downward pressure on Microsoft's stock price [3]

Core Insights - The recent financial reports from major US tech companies highlight the critical focus on the profitability and revenue contributions of their AI businesses, with investors increasingly concerned about the conversion of high investments into actual profits [1][2] Group 1: Financial Performance - Alphabet's cloud business reported a 48% year-over-year growth, achieving $17.664 billion in quarterly revenue, indicating a promising outlook for AI monetization [1] - Despite strong revenue growth, Alphabet's stock fell over 6% following the announcement of a capital expenditure plan for 2026 projected between $175 billion and $185 billion, nearly doubling from 2025 [1] - Amazon's free cash flow decreased by over 70%, yet it plans to increase capital expenditures to $200 billion, exceeding Wall Street expectations by approximately 37%, leading to an 8% drop in its stock price [1] Group 2: Market Sentiment and Investment Concerns - There is growing anxiety in the US stock market regarding the return on AI investments, with any company unable to demonstrate a viable business model facing potential valuation corrections [2] - The tech sector has experienced significant stock declines, with major software companies like Microsoft and SAP seeing drops exceeding 8% due to concerns over cloud business order growth not meeting expectations [2] - The focus has shifted from technical metrics to the necessity of "business validation," with companies like Microsoft, Google, and Meta adopting different strategies to achieve monetization [2][3] Group 3: Challenges in AI Monetization - The projected capital expenditures of over $600 billion for the seven major US tech companies in 2026 raise concerns about whether these investments can yield returns without eroding free cash flow [3] - The integration of AI technology into actual business operations remains challenging, with enterprise clients demanding tangible business value rather than mere functionality [3] - High costs and reliability issues of generative AI in complex scenarios have led some companies to reassess their AI investment priorities, as initial expectations for efficiency gains have not been met [3] Group 4: Strategic Responses - Companies are adopting varied strategies in response to the current market pressures, with some focusing on deep integration of AI with core business functions while others continue to increase investments to achieve economies of scale [4] - The capital market has signaled that future competition will center around cash flow rather than narrative, indicating a shift in investor sentiment [4] - Companies that fail to demonstrate AI monetization capabilities may face significant challenges in the upcoming industry reshuffling, potentially leading to their exit from the market [4]

图片摄影：杨剑勇 为提升各自在云市场的竞争力，他们将持续烧钱，资本支出的规模持续飙升。其中，亚马逊全年的资本 支出预计2000亿美元（约合人民币1.39万亿元）、谷歌1800亿美元（约合人民币1.25万亿元）、微软约 1500亿美元（约合人民币1.04万亿元），累计支出约5300亿美元（约合人民币3.68万亿元）。 值得注意的是，三大云厂商相继交出了一份靓丽的财报，其营收及盈利能力展示出强劲的增长态势。令 人惋惜的是，尽管受AI驱动，经营持续向好，然而并未能打动的华尔街，尤其微软的跌幅巨大，市值 更是跌破3万亿美元。 微软 文/杨剑勇 生成式AI是推动全球云服务市场增长核心驱动力。2025年全年，企业在云基础设施服务方面的支出达 到惊人的4190亿美元，是三年来的最高增长率。 亚马逊、微软与谷歌作为全球三大云服务厂商，他们的市场份额合计达63%，份额分别为28%、21%和 14%，在全球云服务市场牢牢站住有利竞争位置。 2025年全年，亚马逊总营收高达7169亿美元，同比增长12%，净利润777亿美元。营收不但创纪录新 高，同时，这一营收规模实现了对沃尔玛的超越，有望登顶全球营收最高的公司，要知道过去十多年来 ...

Core Insights - The article discusses the evolving landscape of AI investments and the implications for major tech companies, highlighting a shift in market evaluation criteria from mere technological advancement to actual revenue contributions and profitability [4] - It emphasizes the transformative impact of AI on traditional software models and the competitive dynamics within the industry, particularly focusing on the challenges faced by companies like Microsoft [11][8] Group 1: AI Investment Trends - Major North American tech companies, including Amazon, Google, Meta, and Microsoft, plan to invest approximately $660 billion in capital expenditures by 2026 [1] - The market's response to aggressive capital spending has changed, with a focus on companies that can demonstrate sustainable profitability from AI investments [4] Group 2: AI Model Development - Claude Code represents a pivotal shift in AI development, moving from passive response models to proactive execution, fundamentally altering human-computer interaction [7] - The widespread adoption of AI agents is expected to disrupt traditional software industries, reducing marginal costs and undermining existing business models [8] Group 3: Storage Industry Dynamics - The storage industry is characterized by cyclical supply-demand mismatches, with significant capital investments required for chip manufacturing leading to low supply elasticity [12] - The current AI-driven storage supercycle is unprecedented, with structural demand surges and supply constraints leading to significant shortages in both HBM and general DRAM [14][15] Group 4: Future Projections - The AI-driven supercycle is anticipated to last until 2027, with ongoing supply shortages and high prices expected to persist in the short term [20] - Long-term changes in the industry may include a shift towards long-term supply contracts with cloud providers, reducing inherent cyclical volatility [21]

Core Viewpoint - OpenAI is seeking to raise up to $100 billion in funding, with major contributions expected from Nvidia, Amazon, SoftBank, and Microsoft, amidst a valuation of $730 billion, raising questions about the rationale behind such investments [1][2]. Group 1: Financing Dynamics - Major tech companies are stepping in to provide funding to OpenAI as traditional financing sources tighten, indicating a shift in strategy where these companies act as "backers" to ensure OpenAI's operational continuity [9][10]. - The financing from these tech giants is seen as a way to secure their own business interests, such as maintaining cloud service contracts and ensuring the supply of GPUs [10][11]. - The current market sentiment has shifted, with investors becoming wary of lending to companies reliant on OpenAI for future payments, leading to increased financing costs for partners like Oracle [5][6]. Group 2: Market Implications - The potential collapse of OpenAI poses systemic risks to the tech industry, as a failure could significantly impact the valuations of major tech companies, which are heavily influenced by AI-related growth expectations [12][13]. - The situation is likened to a "musical chairs" game, where the failure to secure funding for OpenAI could lead to substantial losses in market value for tech giants, estimated at 50% to 80% [12][13]. - The article highlights that the funding dynamics are not just about supporting OpenAI but also about protecting the broader market interests of the tech giants involved [10][11].

英伟达、亚马逊等相继参与OpenAI的千亿美元融资。分析认为，OpenAI已成为科技巨头估值的命门，若不持续供血或将引发AI逻辑崩塌，科技巨头们 或面临50%-80%的市值缩水。"如果OpenAI减少对超大规模云厂商的承诺支出，他们会损失1万亿美元市值，那朋友之间100亿美元算什么？" 所谓的千亿美金融资，本质上是科技巨头们为了防止AI泡沫破裂而不得不进行的一场自救式"供血"。 当下讽刺的现实是，甲骨文为了筹钱，甚至被迫宣布要卖股票来凑数， 直接把市场焦虑拉满了 。Janus Henderson的信贷研究主管Mike Talaga直言： 2月4日，据The Information资深记者Ken Brown报道，OpenAI正在筹集一笔高达1000亿美元的融资。英伟达可能打算投300亿，亚马逊200亿，软银 300亿，微软也得跟100亿。 在OpenAI 7300亿美元的离谱估值下，这些聪明人为什么抢着送钱，在Brown看来，逻辑非常直白。 银行不信OpenAI了，巨头只能自己上 以前OpenAI很聪明，它自己不借钱，而是让甲骨文（Oracle）、CoreWeave、Vantage数据中心在内的合作伙伴利用自身 ...

Group 1 - Tencent's Yuanbao AI red envelope sharing has been changed to "password red envelope" after WeChat banned links related to it due to excessive marketing and inducement sharing behaviors [2] - Elon Musk becomes the world's first person with a net worth exceeding $800 billion, reaching $852 billion after SpaceX's acquisition of xAI, surpassing the second richest person, Larry Page, by $578 billion [3] - iQOO 15 Ultra smartphone launched with Snapdragon 8 Elite Gen5 processor, active cooling fan, and pressure-sensitive shoulder keys, starting at 5499 yuan [7] Group 2 - Xiaohongshu's valuation has soared to $50 billion, with a head fund reportedly selling part of its shares at this valuation [9] - Intel's CEO confirmed the appointment of a new chief architect for GPU development to meet the surging demand for AI data center chips, while also stating that the shortage of storage chips may last until 2028 [10] - BYD announced the launch of its first B-class pure electric SUV, the Song Ultra EV [11] Group 3 - Samsung and SK Hynix are expected to record their highest profit margins in a decade this year, with NAND products potentially reaching historical profitability levels [15] - The China Photovoltaic Industry Association responded to the "space photovoltaic" concept surge, stating that related technologies are still in the early stages of exploration and verification [16] - 360 million drivers in China have successfully obtained electronic driving licenses, accelerating the digitalization of traffic management [17] Group 4 - Ford and Geely are reportedly discussing cooperation to leverage Ford's production capacity and Geely's smart driving technology for mutual benefit [24] - Microsoft has promoted four sales executives to executive vice president to accelerate AI business growth, reallocating more computing resources to AI products [25] - AMD's CEO stated that despite rising memory prices potentially leading to a decline in the global PC market in 2026, the company will focus on the enterprise and high-end markets for continued growth [44]

Core Viewpoint - Microsoft's cloud business revenue has surpassed $50 billion for the first time, driven by OpenAI, but concerns over slowing Azure growth and capacity constraints have led to a nearly 5% drop in stock price after the earnings report [1][6]. Financial Performance - In Q2, Microsoft reported total revenue of $81.3 billion, a 17% increase from $69.6 billion year-over-year, exceeding the guidance of $79.5 billion to $80.6 billion [6]. - Operating income rose by 21% to $38.3 billion, and diluted earnings per share increased by 24% to $4.14 [6]. - Capital expenditures reached $37.5 billion in Q2, totaling $72.4 billion for the first half of the fiscal year, indicating significant investment in infrastructure [2][5]. Azure Business Insights - Azure's revenue growth slowed from 40% in Q1 to 39% in Q2, raising concerns about the company's ability to meet AI demand due to capacity limitations [4][6]. - The backlog of remaining performance obligations grew by 110% year-over-year to $625 billion, partly due to a $250 billion partnership with OpenAI [7]. Investor Concerns - Investors are worried about the high capital expenditure relative to Azure's revenue growth, questioning the long-term return on these investments [2][5]. - Microsoft's CFO, Amy Hood, emphasized that capital expenditures should not be directly linked to Azure's revenue performance, suggesting a focus on long-term investments in R&D and product innovation [5][6]. Strategic Focus - Microsoft aims to expand its customer base for Azure while also prioritizing the growth of AI-driven products like Microsoft 365 Copilot and GitHub Copilot [6]. - The company is committed to optimizing resources to support long-term growth, viewing capacity investments as part of R&D spending [6].