Xin Jing Bao·2026-02-10 06:05Core Insights - Li Auto's chairman, Li Xiang, outlined the company's strategy to evolve into an embodiment intelligence enterprise, viewing the ultimate form of automobiles as robots [1] - The company has undergone significant organizational restructuring to support this strategic shift, including the establishment of new teams focused on software and humanoid robots, and the reorganization of its autonomous driving department [1] - Li Auto aims to become a leader in the embodiment intelligence sector within the next 3-5 years, indicating a long-term vision for the integration of AI into its business model [1] Company Strategy - The strategic shift towards embodiment intelligence is not merely a departmental reorganization but a critical move to position Li Auto in the competitive landscape of AI-driven automotive technology [1] - The company is responding to a new wave of AI competition, with Li Xiang asserting that the competition in the mid-to-high-end automotive market will fundamentally revolve around embodiment intelligence [1][2] - Li Auto's transition aligns with broader industry trends, as other automakers also explore the integration of robotics into their vehicles, indicating a growing market for "car + robot" solutions [2] Industry Context - Beijing's supportive policies and initiatives, such as the "Beijing Embodiment Intelligence Technology Innovation and Industry Cultivation Action Plan (2025-2027)," provide a conducive environment for companies like Li Auto to innovate and grow [2] - The automotive industry is entering a phase where growth must come from new avenues, with embodiment intelligence emerging as a significant direction for transformation [2] - The inherent advantages of automotive companies in the embodiment intelligence space stem from the shared core architecture of perception, decision-making, and execution between smart vehicles and intelligent robots [2] Challenges and Considerations - The transition to embodiment intelligence faces multiple challenges, including high costs of advanced technologies and the need for a mature commercial framework [3] - Current cash flow for companies like Li Auto still primarily comes from their core automotive business, highlighting the need for a balanced approach during the transition [3] - The development of embodiment intelligence requires long-term investment and patience, as the path to commercialization and product differentiation is still evolving [3]