Core Viewpoint - The CEO of Li Auto, Li Xiang, presented an ambitious vision focused on AI during a company-wide meeting, which did not resonate well with employees who are more concerned with immediate sales and performance metrics [1][2][4]. Group 1: AI Strategy and Investment - Li Auto is making a significant bet on AI, with a timeline indicating that 2026 is the last chance for companies to establish themselves as leaders in AI [2][3]. - The company plans to invest over 12 billion RMB in R&D in 2024, with a substantial portion allocated to AI technologies, including foundational models and inference chips [2][3]. - The VLA (Vision-Language-Action) model aims to unify various intelligences to create a vehicle that can understand, think, and act like a robot [3][4]. Group 2: Employee Concerns and Company Performance - Li Auto's third-quarter revenue was 27.4 billion RMB, a 36.2% year-over-year decline, with vehicle deliveries down 39.0% [6]. - The company reported a net loss of 624 million RMB, marking a significant shift from profitability in previous quarters [6]. - Employees expressed dissatisfaction regarding year-end bonuses and high work pressure, indicating a disconnect between the CEO's vision and their immediate concerns [6][7]. Group 3: Organizational Changes and Challenges - The restructuring of the R&D organization into three teams (base model, software, and hardware) reflects a shift in focus from traditional automotive production to AI technology [11][12]. - Employees are experiencing anxiety and confusion due to the new organizational structure, which may divert attention from current automotive projects to long-term AI goals [12][13]. - Sales and marketing teams are particularly concerned about how the AI strategy will translate into actionable products and market strategies to meet their KPIs [13][14]. Group 4: Leadership and Communication - Li Xiang's inability to effectively communicate the AI vision in a way that resonates with employees highlights a leadership challenge [14][15]. - Employees are looking for concrete plans and strategies that connect the ambitious AI goals with their day-to-day responsibilities and performance metrics [15].

Core Viewpoint - The article discusses the importance of user feedback in product development at Li Auto, highlighting a case where initial skepticism about user needs was overturned by data-driven insights [2][3]. User Feedback and Product Development - A Li Auto employee and L series car owner identified a strong desire among users to maximize electric usage during high-speed driving, driven by cost savings and smoother performance [2]. - Initial feedback from Li Auto's founder, Li Xiang, dismissed this as a "pseudo-demand," believing most users preferred to use gasoline at high speeds [2][3]. - Subsequent data analysis revealed that approximately one-third of users primarily use gasoline at high speeds, while two-thirds expressed a desire to maximize electric usage, leading to a change in perspective from Li Xiang [3]. Implementation and Future Plans - After recognizing the genuine user demand, the feature aimed at optimizing electric usage during high-speed driving was approved for implementation in the upcoming OTA 8.0 update scheduled for September [3]. - Future plans include integrating large models to tailor charging strategies based on individual user data and preferences, enhancing the overall user experience [3]. Risks and Strategic Focus - There is a potential risk associated with Li Xiang's focus on AI, which may detract from attention to hardware and user experience, potentially impacting short-term sales [4]. - The company values operational efficiency and may hesitate to invest in features unless there is substantial user demand supported by data [3][4].