互联网传媒行业AI周专题：美股软件反弹，如何看待AI颠覆软件叙事？

Investment Rating - The industry investment rating is "Buy" [2] Core Insights - The report discusses the rebound of the US software sector, driven by the recovery of pessimistic expectations and a rotation of funds from hardware to undervalued software. The AI disruption narrative has led to a compression of software valuations to levels seen in Q4 2022, with the price-to-sales (PS) ratio dropping to 5.9 times [6][23] - The report identifies three layers of competitive barriers in software, each affected differently by AI disruption: (1) System complexity and high migration costs are the most vulnerable; (2) Industry practices depend on knowledge ownership, with logistics and manufacturing being more adaptable to AI; (3) Proprietary data is the hardest to disrupt, forming a data flywheel [6][23] - The current market is characterized as a technical rebound driven by undervaluation, with core concerns not yet convincingly addressed by fundamentals. A reversal in the fundamental outlook requires two signals: a shift in IT budgets towards software or AI becoming a new growth engine for SaaS revenues [6][23] Summary by Sections Section 1: Domestic and International AI Application Stock Price and Valuation Review - Recent performance of US software indices has stabilized, with key AI application companies outperforming the Nasdaq index. Concerns about AI disrupting traditional software had previously led to a 16.8% decline in the iShares North American Technology Software ETF relative to the Nasdaq [14] - The report highlights that the AI application sector has shown strong performance, with companies like CrowdStrike and Palantir seeing significant stock price increases relative to the Nasdaq [14] Section 2: AI Weekly Special Report - The report notes that the software sector's valuation has been compressed due to pessimistic narratives surrounding AI disruption. The PS ratio for the North American technology software index fell from 9.8 times to 5.9 times between September 2025 and February 2026 [23] - The geopolitical situation has led to a risk-off sentiment in the semiconductor and AI hardware sectors, prompting a rotation of funds into stable cash flow software companies [23] Section 4: Investment Recommendations - The report suggests that the recent stabilization in US software stocks and the easing of concerns regarding AI disruption may lead to a new round of model iterations in Q2 2026. It emphasizes the potential for vertical integration around self-developed models, cloud, and ecosystems [6] - Short-term focus should be on Google, while medium to long-term attention should be directed towards Microsoft, Alibaba, and Tencent. Specific sectors to watch include AI marketing, AI video, and AI healthcare [6]