来源 | 华尔街见闻 亚马逊股价九连跌， 创下了近20年来最长的连跌纪录。 继周四进入技术性熊市，成为Mag7中第二家跌入熊市的公司后， 亚马逊股价 周五继续下挫。 投资者对科技巨头激进的人工智能支出计划发起强烈抵制，导致这些明星股票大幅下挫。 投资者在Mag 7内部轮动，自由现金流压力凸显 Apex Fintech Solutions风险副总裁Mike Treacy表示，近期抛售凸显出Mag7成员之间日益扩大的分化。 自去年秋季以来，投资者已从与微软、英伟达和甲骨文相关的OpenAI交易中撤出，转而青睐Alphabet和博通生态系统。 Treacy指出，Alphabet垂直整合的技术堆栈在一定程度上抵消了过度支出的担忧，使该股免受科技股抛售的最严重冲击。Alphabet股价周 四收盘时较近期高点下跌9.2%。 Treacy表示，谷歌的自给自足能力应该获得相对其他公司的溢价，后者可能受到产业链中某一环节的不利影响。 周五，亚马逊股价收于198.79美元，较近期高点下跌超23%，前一天周四正式跌破熊市门槛。 在四大超大规模云服务商中，亚马逊2026年计划资本支出最高，达到2000亿美元。 亚马逊、微软、Meta ...

Core Viewpoint - Amazon's stock has entered a technical bear market, marking the second company in the Mag7 group to do so, driven by investor resistance to aggressive AI spending plans [2] Group 1: Amazon's Stock Performance - Amazon's stock closed at $198.79, down over 23% from recent highs, officially entering bear market territory on Thursday [2] - Amazon plans to spend $200 billion on capital expenditures by 2026, the highest among the four major cloud service providers [2] - The total expected capital expenditure in AI by Amazon, Microsoft, Meta, and Alphabet by 2026 is projected to reach $650 billion [2] Group 2: Meta and Microsoft's Market Position - Meta is close to entering a bear market, with a cumulative decline of 19.6% from last year's peak, just 0.4% away from the 20% threshold [2] - Despite exceeding Wall Street expectations for Q4 revenue and earnings, Meta's increased AI spending and pressure on profit margins have undermined investor confidence [2] - Microsoft was the first Mag7 member to enter a bear market, with its stock down 27.8% from recent highs following disappointing Azure cloud business growth [2] Group 3: Investor Sentiment and Market Dynamics - Recent sell-offs highlight the growing divergence among Mag7 members, with investors shifting away from OpenAI-related stocks like Microsoft and Nvidia towards Alphabet and Broadcom [4] - Alphabet's vertically integrated technology stack has somewhat mitigated concerns over excessive spending, allowing it to avoid the worst impacts of the tech stock sell-off [4] - Increased capital expenditure levels for Amazon may lead to negative free cash flow this year, prompting the company to seek additional capital through debt markets [4] - The next significant catalyst for AI stocks is expected to be Nvidia's earnings report on February 25, which will indicate whether the AI boom is cooling or if Nvidia is successfully capturing billions in investments from its largest clients [4]

2026.02.14 本文字数：1973，阅读时长大约3分钟 作者 | 第一财经 樊志菁 本周，市场对AI开支过高的担忧仍然挥之不去。投资者正强烈抵制科技巨头激进的人工智能投入计 划，导致 "七巨头"股价大幅下挫。亚马逊股价连续下挫，华尔街担忧大规模投入将使亚马逊在2026年 成为云业务巨头中首个出现自由现金流为负的公司。 首家自由现金流为负的云巨头？ 自上周发布财报以来，亚马逊股价已经连跌九个交易日，创2006年以来最长纪录，正式跌入技术性熊 市，即从重要高点下跌20%及以上。周五该股进一步失守200美元，较11月3日254美元的历史收盘价下 跌近23%。 亚马逊由此成为继微软之后，第二家跌入熊市的 "七大科技巨头"成员。微软股价在1月29日步入熊市， 此前一天该公司公布的Azure云业务增速不及市场预期。截至本周收盘，微软股价较10月28日542.07美 元的历史收盘价下跌超过1/4。 亚马逊规模庞大的人工智能投入计划并未获得投资者认可。尽管投资者对亚马逊AI战略与云业务增长 节奏不匹配的质疑从去年就已出现，但该公司仍加倍押注这一方向。在四大云服务巨头中，亚马逊、微 软、Meta与谷歌2026年AI资本开 ...

2026.02. 14 本文字数：1973，阅读时长大约3分钟 作者 | 第一财经 樊志菁 本周，市场对AI开支过高的担忧仍然挥之不去。投资者正强烈抵制科技巨头激进的人工智能投入计 划，导致 "七巨头"股价大幅下挫。亚马逊股价连续下挫，华尔街担忧大规模投入将使亚马逊在2026 年成为云业务巨头中首个出现自由现金流为负的公司。 首家自由现金流为负的云巨头？ 自上周发布财报以来，亚马逊股价已经连跌九个交易日，创2006年以来最长纪录，正式跌入技术性 熊市，即从重要高点下跌20%及以上。周五该股进一步失守200美元，较11月3日254美元的历史收 盘价下跌近23%。 亚马逊由此成为继微软之后，第二家跌入熊市的 "七大科技巨头"成员。微软股价在1月29日步入熊 市，此前一天该公司公布的Azure云业务增速不及市场预期。截至本周收盘，微软股价较10月28日 542.07美元的历史收盘价下跌超过1/4。 亚马逊规模庞大的人工智能投入计划并未获得投资者认可。尽管投资者对亚马逊AI战略与云业务增 长节奏不匹配的质疑从去年就已出现，但该公司仍加倍押注这一方向。在四大云服务巨头中，亚马 逊、微软、Meta与谷歌2026年AI资本 ...

Core Viewpoint - Concerns over excessive AI spending have led to significant stock declines among major tech companies, particularly Amazon, which is facing fears of becoming the first cloud giant with negative free cash flow by 2026 [2][3]. Group 1: Stock Performance - Amazon's stock has fallen for nine consecutive trading days, marking its longest losing streak since 2006 and entering a technical bear market with a drop of over 20% from its peak [3]. - As of the latest close, Amazon's stock price has decreased nearly 23% from its historical closing price of $254 on November 3, now trading below $200 [3]. - Microsoft also entered a bear market earlier this year, with its stock down over 25% from its historical closing price of $542.07 on October 28 [3]. Group 2: AI Investment Plans - Amazon plans to invest $200 billion in AI capital expenditures by 2026, the highest among the four major cloud service providers, contributing to a total expected AI capital expenditure of $650 billion across Amazon, Microsoft, Meta, and Google [3]. - Despite a strong 24% growth in Amazon Web Services (AWS) for the fourth quarter, investor skepticism remains regarding the alignment of Amazon's AI strategy with its cloud business growth [3]. Group 3: Analyst Perspectives - Some analysts believe the market's negative sentiment towards Amazon's AI investments is overblown, arguing that the company is strategically investing in future cloud computing capabilities [4]. - Deutsche Bank analyst Lee Horowitz suggests that the risk of underinvestment is greater than that of overinvestment for Amazon, and he has set a target price of $290 for Amazon's stock [4]. - William Blair analyst Dylan Carden acknowledges the risks associated with increased capital spending but sees it as a sign of Amazon's competitive advantage in rapidly scaling its AWS infrastructure [4]. Group 4: Market Dynamics - The recent sell-off in tech stocks reflects a growing divide among the "Seven Giants," with concerns about AI spending impacting companies like Amazon, Microsoft, and Meta more severely than others like Google [5][6]. - Google has managed to avoid the worst of the sell-off due to its vertically integrated technology system, which provides a buffer against excessive spending concerns [6]. - The upcoming Nvidia earnings report on February 25 is anticipated to be a key catalyst for the AI sector, potentially revealing whether the AI boom is cooling off [7].

微软则是首家进入熊市的Mag7成员。该公司股价于1月29日跌入熊市，此前一天公司公布的Azure云业务增长未达投资者预期。截至周五收盘，微 软股价较近期高点下跌27.8%。 （亚马逊、微软和Meta近一年走势图） 亚马逊股价九连跌。周四进入技术性熊市，成为Mag7中第二家跌入熊市的公司后，周五继续下挫。投资者对科技巨头激进的人工智能支出计划发 起强烈抵制，导致这些明星股票大幅下挫。 周五，亚马逊股价收于198.79美元，较近期高点下跌超23%，前一天周四正式跌破熊市门槛。在四大超大规模云服务商中，亚马逊2026年计划资 本支出最高，达到2000亿美元。亚马逊、微软、Meta和Alphabet四家公司预计2026年在AI领域的资本支出总计将达6500亿美元。 Meta可能成为下一个跌入熊市的Mag7成员，截至周五收盘，较去年高点累跌19.6%，距离熊市的20%跌幅门槛仅差0.4%。尽管Meta第四季度营 收和盈利超出华尔街预期，但AI支出增加和利润率压力打击了投资者信心。 亚马逊、微软和Meta股价遭受更大冲击，因为投资者对这些公司AI支出能否带来足够投资回报信心不足。对于亚马逊而言，资本支出水平的提高 可能导 ...

Core Viewpoint - Amazon has officially entered a technical bear market after its stock price dropped 21.4% from recent highs, while Microsoft became the first member of the Mag7 to enter a bear market. Investor confidence in the return on investment from AI spending by these companies is low, with Amazon planning capital expenditures of up to $200 billion by 2026 [1][3]. Group 1: Amazon and Microsoft Performance - Amazon's stock closed at $199.60 after eight consecutive days of decline, marking its entry into a technical bear market as the second company in the Mag7 to do so [3]. - Microsoft’s stock price fell 25.9% from recent highs after its Azure cloud business growth failed to meet investor expectations, leading to its entry into a bear market on January 29 [3]. Group 2: AI Spending and Investor Sentiment - The total projected capital expenditure for AI by Amazon, Microsoft, Meta, and Alphabet is expected to reach $650 billion by 2026, with Amazon having the highest planned expenditure [3]. - Meta's stock is close to entering a bear market, just 2.3% away from the threshold, despite exceeding Wall Street expectations for Q4 revenue and earnings, as increased AI spending and profit margin pressures have affected investor confidence [3]. Group 3: Market Dynamics and Cash Flow Concerns - There is a noticeable rotation among Mag7 members, with investors moving away from Microsoft, Nvidia, and Oracle-related OpenAI trades towards Alphabet and Broadcom ecosystems [5]. - Alphabet's vertically integrated technology stack has somewhat mitigated concerns over excessive spending, allowing it to avoid the worst impacts of the tech stock sell-off, with its stock down 9.2% from recent highs [5]. - Increased capital expenditure levels for Amazon may lead to negative free cash flow this year, prompting the company to seek additional capital through debt markets [5].

Core Viewpoint - The software sector in the U.S. has recently experienced significant sell-offs, but Wedbush believes the market is overreacting to fears of an impending "software winter" driven by AI advancements [1][2] Group 1: Market Sentiment and Analysis - Wedbush argues that concerns about AI disrupting traditional software business models are exaggerated, with the current market pricing reflecting a worst-case scenario [1][2] - The IGV index, which measures software industry performance, has dropped approximately 18% year-to-date, while the S&P 500 index has remained flat, indicating a significant market reaction [2] - The software sector has seen a market capitalization loss exceeding $300 billion, reflecting heightened pessimism [2] Group 2: AI Integration and Corporate Caution - Many enterprise clients are cautious about migrating to AI platforms, preferring to maintain their existing software infrastructure built over decades, despite AI being a short-term headwind [2][3] - The report highlights that AI is more likely to be integrated as "embedded tools" within existing software platforms rather than completely replacing them [2] Group 3: Individual Company Insights - Microsoft (MSFT) has a target price of $575, with expectations that its Azure cloud business and AI commercialization will accelerate, making it a key beneficiary in the AI landscape [3][4] - Palantir (PLTR) is assigned a target price of $230, with its AI platform showing strong demand in critical applications, positioning it well as enterprises move from AI trials to actual deployment [4] - Snowflake (SNOW) has a target price of $270, as it serves as a "trusted intermediary" connecting enterprise data with external AI models, emphasizing the importance of data governance [4] - Salesforce (CRM) is given a target price of $375, with its extensive data assets and recent acquisitions enhancing its competitive edge in the AI era [4] - CrowdStrike (CRWD) maintains a target price of $600, with its AI-driven security operations platform becoming increasingly vital in the context of growing cybersecurity needs [5] Group 4: Long-term Investment Opportunities - Despite the current negative sentiment surrounding the software sector, Wedbush identifies potential long-term investment opportunities, suggesting that extreme market emotions may create favorable conditions for investors [6]

Core Viewpoint - The software sector in the US stock market has recently faced significant sell-offs due to the rapid development of artificial intelligence (AI), but Wedbush believes the market is overreacting to these concerns, labeling the situation as an exaggerated "doomsday scenario" for the software industry [1][2] Group 1: Market Sentiment and Analysis - The IGV index, which measures software industry performance, has dropped approximately 18% year-to-date, while the S&P 500 index has remained relatively stable, indicating a market pricing in worst-case scenarios for the software sector [2] - Concerns about AI potentially disrupting traditional SaaS models have led to widespread investor panic, especially following the launch of AI tools by companies like Anthropic [3] - Approximately 80% of CIOs currently prioritize AI and machine learning in their IT budgets, raising fears that software budgets may be squeezed by AI investments [3] Group 2: Company-Specific Insights - Microsoft is maintained with a target price of $575, with expectations that its Azure cloud business and AI commercialization will accelerate, potentially marking a key turning point by 2026 [4] - Palantir is given a target price of $230, with its AI platform AIP showing strong demand in commercial and government sectors, particularly in critical applications [4] - Snowflake is assigned a target price of $270, as it is seen as a crucial intermediary for connecting enterprise data with external AI models, emphasizing the importance of data governance and security [4] - Salesforce is maintained with a target price of $375, with its high-quality enterprise data assets viewed as irreplaceable in the AI era [5] - CrowdStrike is given a target price of $600, with the belief that the rise of AI will enhance the importance of cybersecurity, positioning its AI-driven security operations platform as a leading solution [5] Group 3: Long-Term Investment Perspective - Despite the current negative sentiment surrounding the software sector, Wedbush suggests that this "software doomsday" scenario presents a unique opportunity for long-term investors to position themselves favorably [6]

Core Viewpoint - The emergence of native AI models, exemplified by Anthropic's new automation tools, poses a significant threat to traditional software companies, raising questions about the sustainability of their business models and competitive advantages [2][3]. Group 1: Impact of Anthropic's Tools - Anthropic's release of a legal tool plugin for its Claude Cowork platform has triggered panic selling in the software sector, particularly affecting legal software and data service companies [2]. - Major companies like Thomson Reuters and LegalZoom saw their stock prices plummet by 21% and over 20% respectively, as their core business models were directly challenged by the cost-effective and integrated solutions offered by AI [3]. - The market fears that if companies can use a single AI plugin to handle legal compliance tasks that previously required multiple expensive software subscriptions, the subscription value of traditional SaaS companies will be severely undermined [3]. Group 2: Subscription Model Crisis - The term "SaaSpocalypse" reflects the growing concern that AI advancements may not just assist growth but could potentially replace traditional subscription models entirely [5]. - The traditional software industry's reliance on high-margin recurring revenue from seat-based billing is threatened as AI agents can perform tasks that previously required multiple personnel [5]. - This shift in expectations regarding future growth is a key driver behind the current wave of panic selling in the software sector [5]. Group 3: Performance Discrepancies - Among S&P 500 software stocks, only 69% reported revenues above expectations, significantly lower than the tech sector's overall 85% success rate, indicating a weak position in the AI-driven market [6]. - Even strong performers like Microsoft are under scrutiny as their Azure cloud business shows signs of slowing growth, leading to a decline in stock price over four consecutive trading days [6]. - In contrast, Palantir emerged as a rare "safe haven" with a 70% revenue increase in Q4, suggesting that the market is selectively favoring companies that can effectively leverage AI to enhance productivity [6]. Group 4: Market Reallocation - Despite the Nasdaq's poor performance, the S&P 500 shows a "seesaw" effect, with companies like FedEx and Walmart gaining market value, indicating a shift of funds from vulnerable software stocks to more defensively positioned sectors [7]. - The selling pressure on software stocks is characterized by a "surrender" mentality among investors, who are eager to exit positions regardless of price [7]. - From an investment perspective, extreme panic often creates opportunities, as evidenced by Microsoft's valuation dropping to a three-year low with a forward P/E ratio around 25 [7]. Group 5: Future Outlook - The year 2026 is anticipated to be a pivotal moment for the software industry, as AI programming and automation lower development barriers and diminish traditional business moats [8]. - The consensus on Wall Street has shifted fundamentally, with software no longer seen as a guaranteed profit generator in the face of competition from companies like Anthropic that possess foundational AI models [8]. - Investors are advised to focus on identifying companies with core competencies that are not easily replaceable by automation, rather than blindly attempting to catch falling stocks [8].