GEELY AUTO(HK:00175) Xin Lang Cai Jing·2026-01-16 20:08Core Insights - The automotive industry in China is experiencing significant growth, with vehicle sales reaching 34.4 million units in 2025, a year-on-year increase of 9.4% [1] - The shift towards "full-domain AI" is becoming prominent, with major automotive manufacturers and supply chain giants like Geely and Bosch increasing their investments in AI technologies [1][2] - Geely has introduced a comprehensive technology system that includes the WAM model for intelligent cockpits and the G-ASD platform for advanced driving assistance, indicating a trend towards AI-driven automotive solutions [2][5] - The automotive sector is transitioning from electric vehicle transformation to AI-driven innovations, with "model inclusion" becoming a key metric for evaluating future trends in vehicle manufacturing [1][4] Industry Developments - AI is evolving from peripheral features to a central role in automotive technology, with companies adopting "full-domain AI" strategies to enhance user experience and operational efficiency [2][3] - Geely's G-ASD system is noted for its advanced capabilities, utilizing a SmartAIAgent architecture and achieving a high level of model inclusion, making it one of the leading driving assistance systems globally [2][4] - Bosch has unveiled a new AI cockpit platform that integrates personalized features and real-time environmental interpretation, showcasing the trend towards highly customized user experiences in vehicles [3] Technological Advancements - The automotive industry is witnessing a shift towards data and model-driven approaches in intelligent driving technologies, with systems like Geely's G-ASD integrating multi-modal models to enhance performance [4][5] - The introduction of high-performance AI models is expected to increase computational demands, necessitating significant investments in data centers and computational resources for training and validation [6][7] - The development of autonomous driving systems requires extensive data input and ongoing algorithm training, which may lead to increased costs and resource allocation challenges for companies [6][7] Competitive Landscape - The year 2026 is anticipated to be a pivotal moment for the automotive industry's "model inclusion" competition, with companies possessing robust self-research capabilities likely to capture higher market segments [7] - Smaller manufacturers lacking sufficient R&D investment may face marginalization in the rapidly evolving technological landscape [7] - Geely is positioned as a leader in the full-domain AI landscape, being the first to establish a comprehensive ecosystem that includes automotive, chip, satellite, and AI technologies [8] Strategic Recommendations - The Chinese automotive industry is encouraged to maintain a "self-controllable" approach in AI technology development, focusing on core models and safety mechanisms to avoid dependency on external sources [7][9] - Collaboration with global standards and open-source communities is recommended to mitigate technological gaps and enhance innovation [9]