en.Wedoany.com Reported - On June 18, China's Ministry of Commerce and seven other departments released the "Implementation Opinions on Accelerating the Development of 'AI+ Consumption'," proposing 17 specific measures focusing on enhancing AI+ goods consumption and expanding AI+ services consumption. The document aims to bring AI into thousands of households and businesses, better meeting residents' demands for high-quality, intelligent, and diversified consumption.
The Opinions identify the supply of intelligent products as a key driver for upgrading goods consumption. It proposes expanding the supply of smart terminals, promoting the transformation of consumer electronics from functional to intelligent types, and opening up new consumption tracks for humanoid robots, accelerating the penetration of robots from industrial to consumer scenarios. These measures will bring terminal products such as AI smartphones, smart computers, smart homes, smart wearables, and service robots into more homes and commercial settings.
Regarding new product supply, the Opinions propose establishing platforms for product launches to facilitate faster access of new AI products to consumers. The document also calls for creating a fully interconnected "human, vehicle, and home" ecosystem, promoting the integration of AI with frontier technologies such as brain-computer interfaces and augmented reality, and developing a batch of internationally leading new products. This indicates that AI consumption is no longer limited to single terminals but extends to home spaces, travel scenarios, commercial services, and immersive interactions.
Service consumption is another key focus of this policy. The Opinions propose multiple measures across five scenarios: home living, elderly care, cultural tourism, accommodation and dining, and education, driving AI from the product side to the service side. In the home living scenario, the document proposes studying the inclusion of smart home and service applications into the "good housing" construction guidelines, promoting a more complete intelligent living system integrating housing construction, home decoration services, home appliances and furniture, and community services.
In the field of elderly care services, the Opinions propose guiding elderly care service institutions to adopt AI technology to build informatized and intelligent service capabilities. AI can be used in health monitoring, care reminders, companion interaction, safety alerts, rehabilitation assistance, and institutional operation management, helping elderly care institutions improve service efficiency while providing new technical support for home-based and community-based elderly care.
Cultural tourism, accommodation and dining, and education scenarios will also become important directions for the implementation of AI consumption. AI can be applied in smart navigation, immersive experiences, personalized recommendations, smart rooms, intelligent ordering, learning assistance, and educational resource matching. As these applications enter offline stores, scenic spots, hotels, restaurants, and educational service institutions, AI will transform from a technical concept into tangible experiences perceptible to consumers.
The release of the Opinions further clarifies the policy direction for integrating AI with the consumer market. For enterprises, subsequent opportunities lie not only in individual smart hardware products but also in platform services, scenario integration, content ecosystems, commercial terminals, and operational services. Whether AI+ consumption can achieve sustained growth will depend on product maturity, price affordability, service stability, data security, and the progress of offline scenario transformation.
Going forward, local commerce authorities, industrial enterprises, and service institutions will work on implementing the 17 measures. Smart terminals, humanoid robots, smart homes, intelligent elderly care, cultural tourism experiences, digitalization of accommodation and dining, and intelligent education services will become key areas for observing the effectiveness of AI consumption policies.
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