Zhong Guo Jing Ji Wang·2025-09-04 09:28Core Insights - The forum highlighted the integration of AI and the automotive industry as a key driver for enhancing global competitiveness in China's automotive sector [2][7] - Three main pathways for development were proposed: focusing on vehicle-cloud collaboration, enhancing understanding and application of AI technologies, and transforming automotive companies into AI-driven tech firms [2][7] Industry Trends - The competition in the "AI + automotive" sector is shifting from isolated technology comparisons to a comprehensive evaluation of system efficiency and ecosystem collaboration [3] - There is an anticipated high growth in demand for data and computing power over the next two years, emphasizing the need for robust technological foundations to support data security and compliance during automotive companies' international expansion [3] Technological Applications - AI is being applied across the entire automotive value chain, with significant advancements in areas such as multi-modal intelligent driving, high-precision mapping, and data synthesis, which have notably reduced data labeling costs [4] - Companies like Geely are leveraging AI to enhance product intelligence, operational efficiency, and industry-wide smart upgrades through their industrial internet platforms [4] Challenges and Solutions - Automotive companies face challenges such as "tool silos," "data breakpoints," and "disconnected processes" in AI application, prompting a shift from "technology-driven" to "business value-driven" approaches [5] - The need for enhanced cybersecurity measures is critical as vehicles become increasingly digital, with companies like Beiqi Foton implementing AI-enabled security operations to improve response times to threats [6] User Experience Enhancements - Advances in end-to-end voice technology are set to improve user interaction within vehicles, allowing for more natural and seamless communication [6][7] - The integration of conventional dialogue processing with intelligent agent collaboration is expected to elevate the smart cabin experience [7] Conclusion - The forum underscored the multi-dimensional value of AI in the automotive industry, with a consensus on the importance of vehicle-cloud collaboration, deep AI application, and the transformation of automotive companies into technology-centric entities as key drivers for high-quality development in the sector [2][7]