“软件股末日论”点燃大变革! 恐慌抛售之后，市场将捧起AI时代的“软件基石”

Core Viewpoint - A portion of institutional funds is beginning to enter the market for "bottom-fishing" in software stocks that have recently experienced significant declines, agreeing with Jensen Huang's positive outlook on software stocks, suggesting that the market has misjudged strong software giants focused on "AI + core operational processes" [1][4] Group 1: Market Dynamics - The narrative of a "Software-mageddon" is gaining traction, with significant sell-offs in the software sector following the launch of new AI tools by Anthropic, leading to a notable drop in the S&P 500 Software & Services Index, which has fallen approximately 30% since its recent peak at the end of October [3][9] - The software sector faced its most severe sell-off since 2022, with the S&P 500 Software & Services Index experiencing a decline of over 5% in a single day, extending its losing streak to eight consecutive trading days [3][9] - Concerns about AI's impact on traditional SaaS business models have intensified, particularly following the introduction of Anthropic's AI tools, which are designed to handle complex workflows traditionally managed by SaaS providers [7][8] Group 2: Institutional Perspectives - Some institutional investors are starting to view the recent sell-off as an opportunity, believing that high-quality software companies embracing AI may soon experience a technical rebound [4][10] - Analysts from major financial institutions, including Goldman Sachs and Wedbush Securities, suggest that the selling pressure may have peaked, indicating potential for a market bottom and a return of institutional capital to the software sector [16][18] - Rick Sherlund, a prominent analyst, emphasizes that the software industry undergoes significant transformations every 10 to 15 years, and the current AI-driven changes may lead to a new bull market rather than a decline [20] Group 3: Long-term Outlook - Despite fears that AI could completely replace enterprise software, many analysts believe that AI will instead reshape the profitability trajectories of software companies, with a focus on enhancing existing platforms rather than replacing them [12][14] - The market's panic over AI's potential to disrupt software is viewed as exaggerated, with many analysts asserting that established companies with robust platforms, like SAP, will likely benefit from AI advancements [5][19] - The ongoing transition from consumer-facing AI applications to enterprise applications is expected to drive explosive growth in demand for reasoning and computational capabilities [20]