孟凡新：怎样理解“人工智能＋消费”

Core Viewpoint - The intersection of rapidly developing artificial intelligence and China's vast consumer market is becoming a key focus for policy and market expansion, emphasizing the importance of "AI + consumption" as a new growth avenue [1] Group 1: Historical Context and Technological Impact - Technological innovation has historically transformed production methods and consumption patterns, leading to new industry forms and consumption scenarios [1] - Major technological revolutions, such as the steam engine, electricity, and information technology, have consistently driven consumer evolution and market expansion [1][2] Group 2: Mechanisms of AI in Consumption - AI can stimulate new demand by creating innovative products, as seen with smartphones leading to mobile payments and real-time navigation [2] - New production methods enabled by AI can significantly reduce costs, making previously expensive goods more accessible and expanding consumption [2] - AI facilitates the exploration of new markets and resources, broadening the geographical and categorical boundaries of consumption [2] - AI transforms consumer roles from passive recipients to active participants and co-creators in the consumption process [2] Group 3: Unique Aspects of AI Compared to Previous Technologies - AI primarily targets cognitive and decision-making processes, directly optimizing key consumer activities such as demand recognition and experience evaluation [3] - Unlike previous technologies that focused on efficiency and cost reduction, AI can predict personalized needs and dynamically match resources, addressing uncertainty in consumer behavior [3] - AI can identify nuanced and situational demands that traditional technologies may overlook, leading to tailored product and service offerings [3] Group 4: Collaborative Efforts for Effective Implementation - Accelerating product supply through the development of smart products like connected vehicles and smart home devices is essential for expanding consumption boundaries [4] - Enhancing industrial capabilities by integrating AI with flexible manufacturing and intelligent supply chains can drive personalized consumption [4] - Supporting diverse market participants through subsidies and training can help bridge the "intelligent consumption gap" for underrepresented groups [5] Group 5: Governance and Safety in AI Consumption - Establishing a new governance framework to mitigate technological risks is crucial, including creating transparent algorithm regulation systems for fair trading [5] - Protecting personal information while fostering a secure data circulation system is necessary to balance innovation incentives with rights protection [5] Group 6: Vision for the Future - "AI + consumption" represents a profound transformation that touches the essence of consumption and optimizes economic structures, aiming to enhance public welfare through innovative institutional designs [5]