1. 2月6日(周五)美股盘前，美股三大股指期货均转涨。截至发稿，纳指期货现涨0.51%，标普500指数期货涨0.52%，道指期货涨0.60%，此 前纳指期货一度跌超1.6%。 3. 截至发稿，WTI原油涨1.39%，报71.99美元/桶。布伦特原油涨1.34%，报75.66美元/桶。 | ■ WTI原油 | 2026年3月 | 63.02 | 64.58 | 62.32 | -0.27 | -0.43% | | --- | --- | --- | --- | --- | --- | --- | | 謡 伦敦布伦特原油 | 2026年4月 | 67.37 | 68.82 | 66.87 | -0.18 | -0.27% | 市场消息 今夜无非农，下周"双炸弹"。受此前美国政府停摆影响，美国1月非农报告推迟至2月11日(下周三)21:30公布，1月CPI报告推迟至2月13日 (下周五)21:30公布。双重重磅数据或将引发新一轮市场动荡。 美股常胜策略突然失效!动量交易遭遇历史性回撤：资金从科技撤离，价值股成新宠。多年来，在股市中追涨动量一直是常胜策略，然而 这一策略在过去一周却突然失效。此次动量策略的崩塌，是美 ...

Group 1 - The core viewpoint of the articles highlights a shift in investor sentiment towards sectors that are less likely to be disrupted by AI technology, such as construction, transportation, and heavy machinery, while technology stocks are experiencing declines due to concerns over AI's impact on their business models [1][2][3] - The S&P 500 index has seen a decline, primarily driven by software stocks, while essential consumer goods stocks have risen by 4.7%, potentially marking their best weekly performance since 2022 [1] - JonesTrading's chief market strategist, Michael O'Rourke, notes that investors are gravitating towards sectors with "anti-AI attributes," which are seen as safer investments in the current market environment [1] Group 2 - Analysts from Citizens and Baird indicate that the construction sector is benefiting from the spring home-buying season, with potential for further price increases if funds rotate from tech stocks into construction stocks [2] - The machinery manufacturing and transportation sectors are also expected to achieve their best weekly performance since May of the previous year, supported by declining interest rates and stronger-than-expected economic resilience [2] - Essential consumer goods and chemical companies are categorized as anti-AI sectors, with companies like Dollar General and Dow Chemical seeing positive market performance due to anticipated improvements in demand and industry conditions [3] Group 3 - The chemical sector is expected to rebound as market conditions improve, with analysts predicting a recovery in earnings for commodity chemical companies amid a rotation of funds away from high-growth tech sectors [3] - The market has shown a divergence, with truck transportation, machinery manufacturing, and essential consumer goods reaching historical highs, while the tech-heavy Nasdaq 100 index has declined by 6% since its peak in October [3]

Core Insights - The competition between major AI model companies, particularly OpenAI and Anthropic, is intensifying as both firms release updates to their models aimed at enhancing task execution capabilities [1][4] - The market is experiencing a sell-off in the software sector due to fears that advancements in AI models could disrupt existing software companies, leading to a decline in stock prices for major tech firms [1][6] Group 1: Model Updates and Features - OpenAI's GPT-5.3-Codex and Anthropic's Claude Opus 4.6 have been launched with a focus on AI agents and engineering capabilities, marking a significant evolution in the AI model landscape [1][4] - GPT-5.3-Codex is touted as having the "best programming performance," with a task execution efficiency that consumes less than half the tokens compared to its predecessor [4] - Claude Opus 4.6 has improved programming skills and excels in financial analysis, document creation, and multi-tasking capabilities [4] Group 2: Market Reactions and Stock Performance - Following the announcements of new models, the U.S. stock market saw a decline, with major tech stocks like Microsoft, Amazon, and Nvidia experiencing significant drops [1][6] - The North American technology software index (IGV) has fallen approximately 25.8% since January, reflecting growing concerns about the impact of AI on software valuations [6] Group 3: Industry Perspectives and Future Outlook - Industry leaders express differing views on the impact of AI; Nvidia's CEO believes AI will enhance existing software rather than replace it, while others warn of potential profit margin pressures on software companies [7][8] - Major tech firms are significantly increasing their capital expenditure forecasts for 2026, with Amazon and Alphabet planning to invest $200 billion and $185 billion respectively, indicating a strong commitment to AI development [7]

多年来，在股市中追涨动量一直是常胜策略，然而这一策略在过去一周却突然失效。 作为一种"追涨杀跌"的投资策略，动量交易在周三遭遇了2020年疫情后第二大单日跌幅，跌幅甚至超过 去年的DeepSeek引发的抛售潮以及4月关税风波引发的下跌。高盛编制的高贝塔动量股组合数据显示， 此次下跌抹去了存储芯片、金属和稀土矿开采以及科技应用开发类企业今年以来的全部涨幅。 此次动量策略的崩塌，是美股大盘年内走弱引发的全面抛售潮的一部分，直接诱因则是软件板块的剧烈 震荡——市场担忧人工智能(AI)应用可能对部分企业形成替代效应，导致该板块跌幅超20%。不过在本 轮抛售中，仍有板块逆势走强，这也为尚未放弃牛市的投资者带来了慰藉。 投资者指出，服装零售、旅游企业及家居用品制造商股价持续走高，此前表现低迷的价值股也迎来资金 大幅流入。市场正出现一轮广泛的风格切换，资金从科技板块撤离，涌入与经济复苏联动性更强的领 域。瑞银编制的价值股多空策略投资篮子自上周以来涨幅已达20%，巴克莱编制的价值股相对成长股因 子指数，在周四创下历史单日最大超额收益之一。 从资金持仓来看，此次抛售发生在动量交易迎来历史上最火热的阶段之后。高盛交易部门数据显示 ...

作者：约翰・托菲吉 智能应用程序图标与其他人工智能聊天机器人应用程序一同亮相。 本周，投资者纷纷抛售曾经炙手可热的科技股，拖累华尔街整体走弱。 据费瑟斯通数据显示，科技股占比极高的纳斯达克综合指数迎来 4 月以来最惨烈的三日连跌，本周市值 累计蒸发超 1.5 万亿美元。 对华尔街、科技巨头及整个软件行业而言，过去几日市场剧烈震荡，背后原因主要有四： 比特币等风险资产遭遇抛售（比特币价格近日跌至 2024 年 10 月以来新低），也可能推动投资者转向更 安全的资产。 德意志银行全球宏观研究主管吉姆・里德在周四的研报中表示："近几个月，市场心态已从'所有科技股 都是赢家'转变为残酷的'优胜劣汰'格局。" 人工智能引发的担忧致软件股持续下挫 人工智能初创公司安索普里克于上周五推出多款新工具，称其能为法律行业完成更多工作。这让华尔街 忧心忡忡，担心企业很快会放弃现有的专业数据分析和研究软件订阅服务，直接冲击软件企业的利润。 这一担忧是否会成为现实尚无定论，但投资者已陷入恐慌，纷纷抛售法律和金融软件及服务类企业的股 票。 跟踪软件行业的某交易所交易基金已连续八日下跌，而市场对人工智能蚕食软件行业市场份额的担忧早 已存在 ...

Group 1 - The core viewpoint of the article highlights that companies in sectors less susceptible to artificial intelligence are emerging as winners amid a decline in technology stocks [1] - The S&P 500 index fell by 2%, primarily driven down by software companies, while sectors such as homebuilders, transportation companies, and heavy machinery manufacturers experienced strong gains [1] - Essential consumer goods companies, viewed as safe havens during economic downturns, rose by 4.7%, potentially marking their best weekly performance since 2022 [1] Group 2 - Michael O'Rourke, Chief Market Strategist at JonesTrading, notes that investors are rotating into "anti-AI" sectors, which include industries with tangible, real-world elements [1] - Analysts from Citigroup and Citizens emphasize that the core activities of these companies, such as manufacturing, distribution, and assembly, are not areas where artificial intelligence can easily replace human involvement [1] - Jay McCanless from Citizens states that human presence is still essential for tasks like building homes, reinforcing the idea that certain industries will remain resilient against AI advancements [1]

Core Viewpoint - The recent narrative of "Software-mageddon" has led to a significant sell-off in the software sector, particularly affecting SaaS stocks, following the launch of new AI tools by Anthropic, which are perceived as threats to traditional software business models [1][4][5]. Group 1: Market Reaction - The S&P 500 Software & Services Index has experienced a decline of approximately 30% since its recent peak at the end of October, marking the most severe sell-off since 2022 [1][6]. - Major software companies, including Thomson Reuters and Salesforce, have seen their stock prices drop significantly, with some experiencing declines of up to 10% in a single day [5][6]. - The sell-off has been exacerbated by disappointing earnings guidance from major companies, including Microsoft, and heightened expectations for AI infrastructure spending [5][6]. Group 2: Institutional Response - Some institutional investors are beginning to enter the market to buy undervalued software stocks, believing that the market has overreacted to the AI threat [2][12]. - Analysts express a divided view on the long-term impact of AI on software companies, with some believing that AI will reshape profit trajectories rather than eliminate the need for existing software [9][14]. Group 3: Expert Opinions - Rick Sherlund, a prominent analyst, argues that the software industry undergoes significant transformations every 10 to 15 years, and companies with strong fundamentals, like SAP, will likely benefit from AI rather than be threatened by it [3][16]. - Nvidia's CEO Jensen Huang emphasizes that the notion of AI completely replacing software is illogical, suggesting that AI will enhance existing software rather than replace it [7][8]. - The current market panic is described as "micro-hysteria," with experts suggesting that the fears surrounding AI's impact on software are exaggerated [8][12]. Group 4: Future Outlook - The software sector is expected to experience a technical rebound as investors reassess the long-term value of companies that integrate AI into their operations [2][11]. - High-quality software companies that embrace AI are likely to emerge stronger from the current turmoil, as the market begins to differentiate between those with robust business models and those that are more vulnerable [11][15].

Core Viewpoint - The recent statistics indicate a significant decline in investment demand for U.S. equity funds, attributed to fears surrounding AI's potential to disrupt the software industry, despite strong earnings reports from major companies like Eli Lilly and Super Micro Computer [1] Group 1: Market Trends - U.S. equity funds saw a net inflow of approximately $55.8 billion for the week ending February 4, a sharp decrease of about 48% from the previous week's inflow of $108.2 billion [1] - The introduction of new AI tools by Anthropic has intensified market fears regarding the disruption of the SaaS software industry, leading to a collective crash in software stocks [4] - Major U.S. indices experienced a significant drop following the announcement of advanced AI capabilities that threaten traditional software services [4] Group 2: Fund Flows - Large-cap equity funds recorded a surprising net inflow of about $11 billion, indicating ongoing bullish sentiment towards major tech companies like Google, Nvidia, and Apple [5] - Mid-cap and small-cap equity funds experienced outflows of approximately $15.9 billion and $16.7 billion, respectively, reflecting a shift in investor sentiment [5] - Investors directed $21.1 billion into undervalued industrial sectors and approximately $14.4 billion into metals and mining, while withdrawing about $23.4 billion from the tech sector [5] Group 3: Bond and Cash Market Activity - U.S. bond funds achieved a net inflow of $111.1 billion over the latest week, marking the fifth consecutive week of significant inflows [8] - Short- to medium-term investment-grade bond funds received net investments of about $63.4 billion, the largest weekly inflow since at least 2022 [8] - Money market funds recorded a net inflow of $830.9 billion, the highest since early December, indicating a shift towards cash and bonds amid declining risk appetite [11]

Core Viewpoint - The article discusses a significant downturn in the U.S. stock market, precious metals, and cryptocurrencies, indicating a potential major adjustment in the market dynamics, particularly in the tech sector driven by AI investments [3][4][5][8]. Group 1: Market Performance - U.S. stock indices fell over 1%, with the Nasdaq experiencing its worst three-day sell-off since April of the previous year [5]. - Precious metals like silver and gold saw drastic declines, with silver dropping over 20% and gold over 4% [4]. - The recent earnings reports from major tech companies like Google and Amazon, despite showing strong growth, did not excite the market and instead led to significant stock price drops [5][10][13]. Group 2: Capital Expenditure Concerns - Google reported a remarkable 48% growth in cloud business but indicated a capital expenditure guidance for 2026 of $175-185 billion, nearly double its 2025 spending [10]. - Amazon's capital expenditure plan for 2026 is projected at $200 billion, yet its stock also faced a 10% drop post-earnings [13]. - The combined planned investment of $660 billion by major tech firms for AI infrastructure by 2026 raises concerns about the efficiency of such massive capital expenditures, especially if they yield only marginal growth in cloud services [18]. Group 3: AI Investment Dynamics - The article highlights a shift from a "honeymoon phase" of AI investment to a more critical phase where the market questions the return on investment for high capital expenditures in AI infrastructure [17]. - The physical limitations of infrastructure, such as the U.S. power grid's inability to support explosive growth in data center capabilities, further complicate the situation [18][19]. - The emergence of autonomous AI applications threatens traditional software business models, as companies may reduce their reliance on SaaS products due to AI's ability to perform tasks previously done by human employees [22][23]. Group 4: Macroeconomic Factors - The nomination of Kevin Warsh as the Federal Reserve Chair has created uncertainty in the market, with fears of tighter monetary policy leading to higher long-term interest rates, which could negatively impact tech stock valuations [24][30]. - Warsh's hawkish stance on monetary policy contrasts with market expectations for continued liquidity support, raising concerns about the future of tech stock valuations [26][32]. - The potential for a liquidity crunch, combined with the current market dynamics, suggests an increased likelihood of a significant market correction [38][41].

Core Viewpoint - Concerns over growth and weak labor market data have led to significant declines in the U.S. stock market, with the S&P 500 index turning negative for the year [2][3][4]. Group 1: Market Performance - The Dow Jones Industrial Average fell nearly 600 points, a decline of approximately 1.2% [3]. - The S&P 500 index also dropped by 1.2%, marking a year-to-date downturn [3]. - The Nasdaq Composite Index decreased by 1.6%, continuing its most severe decline since April of the previous year [4]. Group 2: Sector Performance - Technology stocks and speculative bets on Wall Street experienced renewed declines, with the information technology sector of the S&P 500 falling by 1.7% [4]. - Software stocks saw significant drops, with Microsoft down 5% and Salesforce down 4.7% [4]. - The consumer discretionary sector faced severe losses, with DoorDash down 6.1% and both Lululemon and Ralph Lauren down over 4% [3]. Group 3: Individual Company Performance - Estée Lauder's stock plummeted by 19%, the largest decline among S&P 500 constituents, due to anticipated profit reductions of about $100 million related to tariffs [5]. - Cummins, an engine manufacturer, saw its stock drop by 11%, marking its largest single-day percentage decline since the onset of the COVID-19 pandemic [5]. - McKesson, a diversified healthcare services company, reported strong earnings, leading to a 17% increase in its stock price, the highest gain in the S&P 500 index [5]. Group 4: Commodity and Cryptocurrency Performance - Bitcoin fell by 13%, contributing to a 19% drop in the stock price of cryptocurrency firm Coinbase, marking its 13th consecutive day of decline [4]. - Silver prices decreased by 9.1% [4].