智通财经网·2026-02-03 01:44Core Viewpoint - The report from China Galaxy Securities indicates that the artificial intelligence (AI) sector experienced a significant rebound in January, driven by three main catalysts, and suggests actively investing in AI sub-sectors and leading companies with performance support [1][2]. Group 1: AI Sector Performance - The AI sector index (884201.WI) increased by 10.86% in January, outperforming the Shanghai Composite Index, which rose by 3.76%, the CSI 300 by 1.65%, and the ChiNext Index by 4.47% [1]. - The trading volume in the AI sector reached 27,958.23 billion yuan, marking a year-on-year increase of 152.67% and a month-on-month increase of 94.74% [1]. - The sector's strong performance in January was attributed to industrial, policy, and capital progress catalysts [2]. Group 2: Catalysts for Growth - Industrial catalysts include the upcoming CES 2026, the introduction of NVIDIA's Rubin architecture, and collaborations such as NVIDIA's partnership with Eli Lilly for AI-assisted drug discovery [2]. - Policy support is highlighted by the issuance of the "Artificial Intelligence + Manufacturing" special action implementation opinions by eight departments [2]. - Capitalization progress is noted with the listings of Zhizhu AI and MiniMax on the Hong Kong Stock Exchange [2]. Group 3: Future Demand and Market Trends - The domestic AI data center (AIDC) bidding is expected to recover and show an upward trend starting in Q4 2025, with major internet companies accelerating their data center layouts [4]. - The potential entry of NVIDIA's H200 chip into the Chinese market is anticipated to benefit the development of domestic computing chips and ecosystems [4]. - The AI application landscape is shifting from traditional search engine optimization (SEO) to generative engine optimization (GEO), indicating a transformation in marketing and user behavior [3]. Group 4: Investment Recommendations - Key areas for investment include the domestic computing power industry chain, IDC service providers and computing power leasing, domestic trusted innovation manufacturers, AI agents and applications, cloud computing companies, integrated machines and edge AI, and companies involved in the data element industry chain [5].