Core Insights - Multiple automotive companies showcased their AI ambitions at the 2025 World Artificial Intelligence Conference (WAIC 2025), with Geely revealing its AI layout plans [2][4] - Geely's Chief Intelligent Driving Scientist, Chen Qi, stated that the automotive industry is transitioning from "single-point technological breakthroughs" to "ecological collaborative efficiency" [4][8] - The automotive intelligence is moving into a 2.0 phase, characterized by horizontal cross-domain integration rather than vertical deep development [7][8] Geely's AI Developments - Geely presented new models such as the Zeekr 9X and Galaxy M9, along with its "full-domain AI" technology system [4][6] - The "Qianli Haohan" system, a unified intelligent safety assistance driving system, was highlighted as a key achievement of Geely's full-domain AI system [6][8] - Geely has achieved the integration of AI intelligent agents into vehicles, with applications across various domains including intelligent driving, power, chassis, and architecture [8][16] Industry Trends - The automotive industry is witnessing a shift towards embodied intelligence, with companies leveraging existing technology foundations to develop this sector [9][12] - Tesla announced plans to deploy thousands of humanoid robots in factories by 2025, emphasizing the importance of embodied intelligence in their strategy [9][12] - The next-generation intelligent cockpit, Agent OS, was introduced, offering a more natural and emotional interaction experience [12][15] Future Directions - Geely plans to implement L3-level technology architecture and AI training systems by Q4 2025, aiming for AI to validate and train itself [16][18] - The company aims to evolve AI from a mere execution tool to an intelligent assistant capable of handling complex tasks [18] - Geely's "Smart Geely 2025" strategy focuses on building a robust technological foundation through advanced computing, big data, and satellite technology [16][18]

Core Viewpoint - The automotive industry is transitioning from a focus on single-point technological breakthroughs to an emphasis on ecological collaborative efficiency, with companies like Geely showcasing their AI strategies at the WAIC 2025 event [4][8]. Group 1: AI Development in Automotive Industry - Geely presented new models such as the Zeekr 9X and Galaxy M9, highlighting their "full-domain AI" technology system [4][5]. - The automotive intelligence is moving from the 1.0 stage of single-domain development to the 2.0 stage of cross-domain integration, as stated by Geely's Chief Intelligent Driving Scientist, Chen Qi [7][8]. - The integration of intelligent driving technology is becoming a core AI technology, enabling advancements in L3-level intelligent driving and other vehicle domains [8][9]. Group 2: Geely's AI Innovations - Geely's "Qianli Haohan" system is a unified intelligent safety assistance driving system developed through various AI technologies [6][9]. - The company has achieved the integration of AI agents into vehicles, with results including intelligent driving, AI hybrid power, digital chassis, and intelligent architecture [9]. - Geely aims to evolve AI from a mere execution tool to an intelligent assistant capable of handling complex tasks, with each vehicle serving as a connection point to a vast AI ecosystem [22][23]. Group 3: Embodied Intelligence and User Interaction - Tesla showcased its humanoid robot, indicating a shift towards embodied intelligence, which integrates AI into physical entities [11][13]. - The next-generation intelligent cockpit, Agent OS, was introduced, offering a more natural and emotional interaction experience [15][19]. - Agent OS utilizes multi-modal AI models to enhance user interaction, allowing for real-time understanding and emotional expression [18][19]. Group 4: Future AI Plans - Geely plans to implement L3-level technology architecture and AI training systems by Q4 2025, building on its "Smart Geely 2025" strategy [20][21]. - The company aims to create a robust technological foundation through advanced computing, big data, and satellite technology [20].