LI AUTO(US:LI) 理想TOP2·2026-02-13 16:02Core Viewpoint - The article discusses the strategic shifts within Li Auto, particularly focusing on the leadership changes and the implications for its autonomous driving and AI initiatives. It emphasizes the importance of Li Xiang's judgment on the AI industry's development and the need for effective organization of talent to achieve the company's vision [1][2][5]. Group 1: Leadership Changes and Organizational Structure - Zhan Yifei will take full responsibility for the research and productization of the robotics business, while Lang Xianpeng will be leaving the company [1]. - The restructuring of Li Auto's autonomous driving departments from 3 to 11 is seen as a secondary issue, with the primary challenge being the alignment of production factors and Li Xiang's vision [2]. - The merger of the autonomous driving and smart cockpit departments reflects a shift in Li Xiang's approach, emphasizing integrated design over traditional software and hardware separation [2][3]. Group 2: Strategic Direction and Market Position - Li Auto's strategy is compared to Tesla's VA (Value Added) approach, suggesting that while both strategies have their merits, the VA route may carry less risk due to Tesla's pioneering efforts [3]. - The article notes that regardless of whether Li Auto adopts a VA or VLA (Value Learning Architecture) approach, both have their rationales, and the company may continue to evolve its viewpoints [3][4]. - The potential for Li Auto's autonomous driving technology to enhance user value is considered highly probable, with a clear direction towards improving data utilization and model performance [3]. Group 3: Talent Management and AI Development - The ability to effectively recruit and organize suitable talent is crucial for Li Auto's success, with over 50% of significant technological breakthroughs expected to come from new graduates [9]. - Li Xiang's learning ability and decision-making quality are highlighted as critical factors in determining the company's future success in the AI sector [5][9]. - The article emphasizes that the departure of older team members is less significant than Li Xiang's capability to harness the intellectual resources of new talent [9].