Zhong Guo Zheng Quan Bao·2026-02-08 20:40Core Viewpoint - The investment focus is shifting towards AI applications, with 2026 expected to be a pivotal year for AI investment, as the market transitions from infrastructure to application [1][2][3] Group 1: AI Application Investment - AI applications are identified as one of the most certain investment directions, with a clear transmission logic from infrastructure to cloud services and then to AI models and applications [2] - The market is moving from a phase of heavy investment in AI infrastructure to one focused on application, with 2026 anticipated as the year of significant AI application investment [2][3] - The investment strategy will focus on "Ali Chain," which encompasses a complete ecosystem centered around Alibaba's AI capabilities, including computing power, model platforms, and vertical applications [3][4] Group 2: Reasons for Current Focus - Three reasons are provided for the current focus on AI applications: the shift in industry cycles, strategic changes by major players, and a re-evaluation of valuation systems [3] - Alibaba is positioned as a leader in AI application commercialization, with a strategic shift towards "AI To C" and the launch of significant products like Tongyi Qianwen [3] - The market is recognizing the undervalued potential of Chinese internet giants in the AI application layer, particularly Alibaba Cloud, which is the largest cloud service provider in China [3] Group 3: Investment Criteria - The investment criteria for AI application companies include the depth of integration with Alibaba's ecosystem, the necessity of business scenarios, and unique data barriers and closed-loop capabilities [4] Group 4: Market Outlook and Strategy - The overall market outlook suggests that technology growth styles will prevail, with AI applications and computing power still having room for development, particularly around mid-year turning points [5] - The investment strategy emphasizes a balanced approach, shifting focus from infrastructure to application, especially in the Hong Kong stock market where many AI application companies are listed [5] Group 5: Investment Methodology - The investment framework combines active and quantitative strategies, focusing on understanding industry trends and cycles rather than relying solely on information asymmetry [6][7] - The methodology emphasizes recognizing cognitive and execution gaps, leveraging quantitative tools to maintain discipline in investment decisions [7]