华尔街见闻·2026-02-11 09:15Core Viewpoint - The investment logic on Wall Street is undergoing a significant transformation, with investors rapidly selling stocks of companies that may be disrupted by AI, rather than focusing on identifying AI winners [3][4]. Group 1: Market Reactions - A recent sell-off was triggered by the launch of Altruist Corp.'s tax strategy tool, Hazel, which caused major wealth management companies like Charles Schwab and Raymond James Financial to see stock declines of over 7%, marking the largest drop since the market crash in April [4]. - The panic began when Anthropic introduced a new tool, leading to a deep correction across software, financial services, asset management, and legal services sectors [5][7]. - The insurance brokerage industry was also affected, with stocks plummeting after Insurify launched a ChatGPT-based application for comparing auto insurance rates [7]. Group 2: Industry Impact - Altruist's Hazel tool highlights the market's deep anxiety regarding AI's potential to disrupt traditional financial services, as it can perform tasks that typically require an entire team for just $100 a month [6][7]. - The fear of AI disruption has spread from the software industry to broader sectors, indicating a significant shift in market sentiment [5][7]. Group 3: Diverging Opinions - Despite the prevailing panic, some market participants question the speed and extent of AI disruption, suggesting that technological upheaval often takes longer than anticipated [10][11]. - Concerns about AI's impact on various industries may be premature, as the market is still in the early stages of understanding AI's long-term implications [12]. Group 4: Market Sensitivity - The current sell-off reflects a general anxiety over high valuations in the market, which have been driven by a surge in AI spending and unexpected economic resilience [13]. - In a highly sensitive market environment, even minor negative signals can lead to significant stock declines, as investors prefer to err on the side of caution regarding potential AI disruptions [13].