在受人工智能工具威胁的软件股暴跌后，华尔街正在重估其被过度抛售的可能性，而散户投资者正在排 队逢低买入。据城堡证券股票及股票衍生品策略主管Scott Rubner称，散户交易员在城堡证券平台上购 买软件股票的支出创下历史新高。该公司自 2017 年开始追踪该数据。 Rubner周二在给客户的报告中写道："我们平台上的净名义金额已达到前所未有的水平。购买活动的规 模、持续时间和广度都显著超过了之前的峰值，凸显了散户在2026年初作为新增需求主要来源的作 用。" 自 Anthropic PBC 推出一款专为企业内部法律团队量身定制的效率工具以来，从小型软件开发商到大型 财富管理公司，所有相关企业都受到了抛售潮的影响。法律软件和出版类股随后也遭遇暴跌。Altruist Corp. 推出税务策略工具后，跌势进一步加剧，导致嘉信理财(SCHW.US)和LPL Financial(LPLA.US)的股 价下跌。 Rubner写道："在过去的 42 周中，散户期权投资者有 41 周倾向于净买入，这种一致性表明风险偏好持 续存在，而不是零星的仓位变动。" 美股频道更多独家策划、专家专栏，免费查阅>> 全面买入 责任编辑：安东 ...

智通财经APP获悉，在受人工智能工具威胁的软件股暴跌后，华尔街正在重估其被过度抛售的可能性， 而散户投资者正在排队逢低买入。据城堡证券股票及股票衍生品策略主管Scott Rubner称，散户交易员 在城堡证券平台上购买软件股票的支出创下历史新高。该公司自 2017 年开始追踪该数据。 Rubner周二在给客户的报告中写道："我们平台上的净名义金额已达到前所未有的水平。购买活动的规 模、持续时间和广度都显著超过了之前的峰值，凸显了散户在2026年初作为新增需求主要来源的作 用。" 自 Anthropic PBC 推出一款专为企业内部法律团队量身定制的效率工具以来，从小型软件开发商到大型 财富管理公司，所有相关企业都受到了抛售潮的影响。法律软件和出版类股随后也遭遇暴跌。Altruist Corp. 推出税务策略工具后，跌势进一步加剧，导致嘉信理财(SCHW.US)和LPL Financial(LPLA.US)的股 价下跌。 全面买入 软件领域的抛售潮波及整个市场，投资者纷纷抛售所有被认为会被人工智能技术取代的公司的股票，即 使只有极小风险。 当包括对冲基金在内的专业投资者以创纪录的速度加大反向做空力度时，散户投资 ...

高盛推出一项新的软件股多空组合，做多那些业务难以被人工智能取代、或直接受益于AI需求增长的公司，同时做空可能被自动化或被企业内部替代的 软件企业。此前随着Anthropic等公司推出面向法务和税务的AI工具，引发相关软件股大幅下跌，市场对生成式AI冲击商业模式的担忧正在加剧。 随后，这轮抛售继续扩大。一家知名度不高的初创公司Altruist推出了一款税务策略工具，在过去一周内导致Charles Schwab、LPL Financial等公司股 价下跌超过10%。 媒体称，华尔街对软件股的怀疑情绪已经积累了数月，但最近的市场态度已从谨慎转向明显防御。随着市场担心生成式AI可能侵蚀传统商业模式并压缩利 润率，投资者纷纷抛售整个行业的股票。 这轮抛售也重置了估值水平。一年前，软件股的市盈率大约为51倍，是股票市场中估值最高的行业。而如今，该行业的市盈率约为27倍。 在做多一侧，高盛看好那些将直接受益于AI采用率上升的企业，包括算力提供商、数据基础设施公司、可观测性工具、安全网络公司、超大规模云服务商 以及AI开发平台等。该组合纳入的公司包括Cloudflare、CrowdStrike、Palo Alto Netwo ...

Group 1 - Concerns about AI disruption have led to significant divergence in the travel and leisure industry, with online travel platform stocks plummeting while traditional hotel operators' stocks surged [1] - TripAdvisor's stock has fallen 29% this year, hitting a historical low after disappointing earnings, while Booking Holdings and Amadeus IT Group have seen declines of 22% [1] - In contrast, Marriott's stock has risen 14% and Hilton's stock has increased by 12% this year, with analysts raising target prices following Hilton's earnings report [1] Group 2 - The sell-off in travel stocks accelerated in early February as investors fled companies perceived to be vulnerable to AI disruption, initially triggered by a new tool from Anthropic [4] - The sell-off has spread to IT services, wealth management, real estate platforms, and logistics sectors, with significant drops in stocks like Charles Schwab and LPL Financial [4] - Concerns about AI's impact on office space demand have led to declines in commercial real estate stocks, with major firms like CBRE and JLL experiencing drops of 8.8% and 7.6% respectively [4] Group 3 - The market is currently characterized by a "sell first, ask questions later" mentality, as fears of AI disruption escalate with the rollout of AI products [4] - The Dow Jones Transportation Average has outperformed the S&P 500 by 13 percentage points over the past month and a half, driven by strong economic data and a trend of reducing exposure to tech giants [4] - Investors are increasingly seeking alternatives to AI-related stocks, with strong economic conditions reinforcing positive investment logic in traditional sectors [5] Group 4 - The software sector has experienced significant sell-offs, presenting a buying opportunity for investors, as many software stocks are considered severely oversold [6] - Despite recent declines in software stocks, there is a belief that market turmoil is creating favorable conditions for savvy investors [6] - A significant divergence in growth prospects and fundamental expectations among software companies is anticipated, rather than a uniform rebound across the market [6]

Core Viewpoint - Concerns about artificial intelligence (AI) are escalating on Wall Street, leading to significant sell-offs across various sectors, particularly in companies perceived to be at risk of disruption by AI technologies [1][14]. Group 1: Market Reactions - A recent sell-off was triggered by the launch of a tax strategy tool by Altruist Corp, resulting in stock price declines of over 7% for major financial firms like Charles Schwab and Raymond James [1][14]. - The sell-off extended to European wealth management firms, with companies like AJ Bell and St. James's Place experiencing simultaneous declines [1][14]. - This downturn is noted as one of the most significant since the market turmoil in April, reflecting a "sell first, ask questions later" mentality among investors [1][14]. Group 2: Investor Sentiment - Investors are shifting focus from identifying potential winners to avoiding any companies that exhibit even a slight risk of being replaced by AI [4][17]. - The narrative around AI has evolved from skepticism about its practical applications to a recognition of its disruptive potential, as evidenced by the rapid deployment of powerful AI tools [6][20]. - The market's reaction indicates a heightened sensitivity to negative news, with stock prices plummeting by 10% on minor adverse signals, a phenomenon unlikely to occur in markets with lower valuations [27]. Group 3: Industry Implications - The software industry has been particularly affected by AI-related anxieties, with fears spreading to other sectors such as finance, insurance, and legal services following the introduction of new AI tools [8][21]. - Altruist's CEO noted the unexpected market reaction, which resulted in the evaporation of billions in market value for several investment firms, highlighting the competitive threat posed by their new product [22][21]. - The architecture used to develop Altruist's tool is perceived as capable of replacing roles within the wealth management industry, suggesting a significant shift in operational dynamics [10][24]. Group 4: Future Outlook - Experts express uncertainty about the future impact of AI, with some suggesting that the actual disruption may occur more slowly than anticipated [25][26]. - The current market environment reflects a broader anxiety about the sustainability of high valuations driven by AI investments and the resilience of the U.S. economy [27][12]. - The ongoing developments in AI are still in their infancy, and making definitive predictions about their long-term effects remains challenging [13][12].

Core Viewpoint - The market is experiencing heightened anxiety regarding the potential disruption caused by artificial intelligence (AI), leading to significant stock sell-offs across various sectors, particularly those perceived to be at risk of being replaced by AI technologies [1][3][4]. Group 1: Market Reactions - A recent sell-off was triggered by the launch of a tax strategy tool by Altruist Corp, resulting in stock price declines of over 7% for major firms like Charles Schwab, Raymond James, and LPL Financial, marking some of the largest single-day drops since last April [3]. - The market sentiment has shifted from seeking AI winners to rapidly withdrawing from any companies that exhibit even a slight risk of being replaced by AI [8]. - The introduction of AI products has led to widespread panic, with significant declines in stock prices across software, financial services, asset management, and legal services sectors [9][10]. Group 2: Industry Perspectives - Gabelli Funds manager John Belton noted that companies facing potential disruption are experiencing indiscriminate sell-offs, reflecting a broader market fear [4]. - The software industry is particularly affected, with AI companies like Anthropic launching new tools that have caused stock prices to plummet across multiple sectors [9]. - There is skepticism regarding the market's rapid shift from fearing an AI bubble to fearing its disruptive potential, with some experts suggesting that the actual impact of technological disruption often unfolds more slowly than anticipated [11][12]. Group 3: Future Outlook - The future of AI technology adoption remains uncertain, with historical challenges in the banking sector from cryptocurrencies and electronic services failing to disrupt its dominance [10]. - Experts caution against premature conclusions about AI's impact, emphasizing that the AI revolution is still in its early stages and that the market is eager to make judgments without sufficient evidence [13].

Core Viewpoint - The market is experiencing heightened fear regarding the potential disruption caused by artificial intelligence (AI), leading to significant stock price declines across various sectors, particularly in wealth management and software companies [1][3]. Group 1: Market Reaction - A recent sell-off was triggered by the launch of a tax strategy tool by Altruist Corp, resulting in stock price drops of over 7% for major firms like Charles Schwab, Raymond James, and LPL Financial [1]. - This sell-off reflects a broader market sentiment of "sell first, ask questions later," as concerns grow over the potential for AI to disrupt entire industries [1][3]. - The stock market has seen significant volatility, with companies facing indiscriminate selling if they are perceived to have any risk of being replaced by AI [3][4]. Group 2: Industry Impact - The introduction of AI products has shifted investor focus from identifying AI winners to quickly exiting any companies that may face replacement risks [3]. - The software industry is particularly affected, with stock prices plummeting across various sectors, including financial services and legal services, following the launch of new AI tools [3][4]. - Altruist's CEO highlighted that the technology used in their product could potentially replace many roles in wealth management, emphasizing the competitive threat posed by AI [4]. Group 3: Market Sentiment and Future Outlook - There is skepticism among analysts regarding the rapid shift from concern over an AI bubble to fear of its disruptive potential, with some suggesting that technological disruption often takes longer to materialize than anticipated [4][5]. - The current market reaction indicates a heightened sensitivity to any negative signals, with stock prices dropping significantly on minor adverse news [5]. - Experts caution against making premature conclusions about the long-term impact of AI, noting that the AI revolution is still in its early stages [5].