策略点评：AI回调的布局窗口

Core Insights - The report emphasizes that the recent pullback in the AI industry is a necessary phase in the deep integration of AI technology into various sectors, rather than a fundamental threat to the industry's future [1][6] - It suggests that the current market concerns regarding the uncertainty of AI application business models and hardware demand are part of the industry's evolution, and that this pullback presents investment opportunities in AI applications, cloud services, and storage [2][6] Market Trends - Since mid-January 2026, the AI industry chain has experienced a continuous pullback, exacerbated by several events in early February, including Microsoft's financial report revealing dual concerns about growth dependency and investment returns [2][3] - Microsoft's Q2 2026 financial report indicated a slowdown in Azure cloud computing growth and projected capital expenditures exceeding $100 billion, with approximately 45% of its cloud business backlog dependent on OpenAI [3] - Concerns were also raised regarding NVIDIA's investment stance on OpenAI, with CEO Jensen Huang indicating a cautious approach to investment, despite previous indications of a potential $100 billion investment [4] Business Model Uncertainty - The report identifies dual uncertainties in the market: the uncertainty of AI application business models and the uncertainty of real demand [5][6] - It highlights that traditional SaaS companies may face challenges as enterprises consider building their own AI tools, potentially undermining SaaS profitability [5][6] - The report argues that the market's valuation logic is shifting from paying premiums for future potential to assessing current realities and investment returns [5] Long-term Outlook - The report posits that the concerns regarding business model and demand uncertainties are part of the necessary evolution towards deeper integration of AI technology, rather than a fundamental threat to the industry's prospects [6] - It suggests that traditional application vendors can leverage their industry knowledge and data advantages to build new barriers in the AI era, and that early movers may see valuation increases [6][7] - The demand for hardware is expected to grow in tandem with the maturity of software applications, as AI applications transition from "technology demonstrations" to "production tools" [7]