本报（chinatimes.net.cn）记者温冲 于建平 北京报道 10月23日，中国共产党第二十届中央委员会第四次全体会议公报正式发布。公报中关于"建设现代化产 业体系，巩固壮大实体经济根基""加快高水平科技自立自强，引领发展新质生产力"等宏观战略方向， 为汽车产业发展提供了顶层指引，为"新汽车"产业高质量发展指明了前进方向。 汽车产业作为实体经济和先进制造业的重要组成部分，可依托这一重要指引继续推动智能化、绿色化转 型，并促进汽车产业与交通、网络、能源等领域融合的创新，为建设"交通强国"贡献力量。同时加强自 动驾驶算法、共性支撑技术等关键技术的攻关，推动科技创新和产业创新深度融合发展，提升自主创新 能力，抢占科技发展制高点，催生汽车产业新质生产力。 坚持智能化、绿色化、融合化发展方向 全会提出，建设现代化产业体系，巩固壮大实体经济根基。坚持把发展经济的着力点放在实体经济上， 坚持智能化、绿色化、融合化方向，加快建设制造强国、质量强国、航天强国、交通强国、网络强国， 保持制造业合理比重，构建以先进制造业为骨干的现代化产业体系。要优化提升传统产业，培育壮大新 兴产业和未来产业，促进服务业优质高效发展，构建现 ...

Core Insights - The smart connected vehicle industry in China is transitioning from a technology exploration phase to a critical period of large-scale development, with significant advancements in autonomous driving technology and vehicle-road collaboration [1] - The integration of AI into the automotive sector is reshaping the industry landscape, moving from hardware-driven to software-defined vehicles, which is expected to enhance the overall value chain [2][3] Group 1: Industry Development - China's smart connected vehicle industry is propelled by a combination of policy support, market drive, and technological breakthroughs, allowing it to transition from a follower to a leader in the global market [2] - The industry is experiencing a transformation where AI is fundamentally reshaping the underlying logic of the industry, product value models, and user experience ecosystems [2][3] Group 2: Technological Advancements - The year 2025 is anticipated to be a turning point for the commercialization of AI in the automotive sector, marking a shift from experimental scenarios to large-scale implementation [3] - Companies are developing differentiated strategies for smart connected technologies across various vehicle models, with L2-level assisted driving becoming standard [6] Group 3: Collaboration and Ecosystem - The development of smart connected vehicles is viewed as a collaborative effort rather than a competitive sprint, emphasizing the importance of open cooperation and innovation [7][8] - Industry leaders are advocating for a national-level collaborative innovation platform to address challenges such as technology barriers and standardization issues [8][9] Group 4: Market Opportunities - The automotive industry is expected to see a shift in business models, with potential monthly subscription services for autonomous driving as L4/L5 technologies mature [4] - The integration of AI capabilities across different scenarios and devices is projected to create vast opportunities within the automotive ecosystem [3]