天天基金网·2026-01-12 05:18Core Viewpoint - The article highlights a significant shift in market dynamics, with AI application stocks experiencing a major surge while AI hardware stocks decline, indicating a potential turning point in investment focus towards AI applications [2][5][12]. AI Application Surge - AI application sectors, including Sora concept, AI+ marketing, and AI intelligent agents, saw substantial gains, with leading stocks like BlueFocus and Kunlun Wanwei hitting "20CM" limit up, and BlueFocus achieving a transaction volume of 193.2 billion yuan, the highest in A-shares [5][6]. - The market is establishing a dual mainline structure of "AI applications and commercial aerospace," with the Shanghai Composite Index rising by 0.75% and the Shenzhen Component Index by 1.31% [2][5]. Reasons for AI Application Growth - The recent strong performance of major model companies MiniMax and Zhipu, which have listed on the Hong Kong Stock Exchange, is seen as a key factor for the surge, providing a critical anchor for industry valuation and financing [7]. - Three new hotspots in the AI application field have emerged: 1. AI4S (AI for Science) with stocks like Zhizhi New Materials hitting "20CM" limit up and a year-to-date increase of over 198% [8]. 2. GEO (Generative Engine Optimization) focusing on optimizing content for AI search, marking a shift in user behavior towards direct answers from AI rather than traditional search engine results [8]. 3. AI+ healthcare, with OpenAI launching "ChatGPT Health" and significant user engagement reported by Ant Group's "Antifufu" [9]. Future Outlook for AI Applications - 2026 is anticipated to be a pivotal year for AI applications, with expectations of a "golden year" driven by technological maturity, supportive policies, and market demand [12]. - Key investment directions include: 1. Super entry points where large models become dominant traffic sources. 2. AI infrastructure focusing on software-defined computing. 3. High-growth areas in marketing and media leveraging AI capabilities. 4. High barriers in sectors like healthcare and manufacturing due to data and workflow integration [12].