工信部原副部长王江平：当前AI终端尚未出现“杀手级”应用

Core Viewpoint - The current AI terminal applications are still in the exploratory stage, lacking a "killer" application that can significantly change user lifestyles [4][6]. Group 1: AI Terminal Development - AI terminals are defined as new terminal products with capabilities such as proactive perception, multi-modal natural interaction, intelligent services, and autonomous learning evolution [4]. - The development of AI terminals faces several industrial challenges, including the lack of technical standards, high compatibility and adaptation barriers for hardware and software, and intense competition among terminal and app companies [4][5]. - There is currently no revolutionary application scenario that can drive the widespread adoption of AI terminals, similar to how social media and mobile payments propelled the rise of smartphones [4][6]. Group 2: Market Potential and Challenges - The Chinese market is seen as having significant potential for AI terminals due to its large size [4]. - Challenges include constraints in chip manufacturing, disparities in model capabilities, and risks of ecological differentiation, which may lead to the formation of two distinct AI terminal ecosystems dominated by either Europe and the US or China [5][7]. - Compared to international mainstream products, domestic terminals may continue to lag in performance, and the differentiation in industrial ecology could result in a lack of unified global AI technology standards [7]. Group 3: Recommendations for Industry Advancement - Recommendations include accelerating the research and development of core technologies for the next generation of smart terminals, establishing industry standards, creating an open service ecosystem for intelligent applications, and enhancing international cooperation to address data security and privacy issues [7].