市值已蒸发超万亿美元，软件业会成为下一个“报纸”吗？

Core Viewpoint - The software industry is facing significant challenges due to the rise of AI technologies, leading to a market valuation decline of over $1 trillion since late January 2026, raising concerns about its future viability similar to the decline of the newspaper industry [1][3][4]. Group 1: Market Impact - The iShares Expanded Tech-Software Sector ETF (IGV) has seen a cumulative decline of over 23% since early 2026, significantly underperforming the S&P 500 index [1]. - Following the introduction of AI tools like Anthropic's Claude, the software sector has experienced a rapid market revaluation, with a notable drop in stock prices and a shift in investor sentiment [2][3]. - As of February 2026, the software and services sector has entered a bear market, with the IGV ETF experiencing a single-day drop of 5.4% on January 29, marking a decline of over 20% from recent highs [3]. Group 2: AI Disruption - Concerns have emerged that AI applications may replace a significant portion of traditional software, leading to a reevaluation of established business models in the software industry [2][4]. - J.P. Morgan's report indicates that the software sector is undergoing its largest non-recessionary pullback in 30 years, with a decline of 34% and a reduction in the S&P 500 software sector weight from 12% to 8.4% [4]. - High switching costs that have historically benefited software companies may diminish as AI programming tools lower development costs, posing a structural threat to the industry [5]. Group 3: Diverging Perspectives - While some analysts predict a bleak future for the software industry akin to the newspaper sector, others, like Deloitte, suggest that AI will create new opportunities rather than lead to a complete industry decline [6]. - Deloitte forecasts that by 2030, AI solutions could capture 60% of the software market, intensifying competition between native AI companies and traditional software giants [6]. - The impact of AI on software will vary by industry, with heavily regulated sectors like finance experiencing slower adoption compared to more creative or data-driven fields [6].