Recently, Zhejiang's Department of Commerce, together with 22 other government departments, jointly issued a set of measures aimed at accelerating the development of "AI plus consumption," setting a clear target that by 2030, the operating revenue of large-scale core 人工智能 industries in the consumption sector should exceed 600 billion yuan.
The measures put forward 16 policy steps organized around four areas: goods consumption, services consumption, platform scenarios, and supporting elements and institutional safeguards.
In terms of expanding and upgrading AI-driven goods consumption while increasing the supply of new AI terminal products, the plan calls for strengthening smart home and other consumer terminals, scaling up industry terminals such as intelligent robots and intelligent connected vehicles, and laying out future terminals including humanoid robots and brain-inspired intelligent devices.
On promoting AI plus consumption of major durable goods, the measures support innovative development across the entire chain of the automobile circulation and consumption sector, back the inclusion of digital home and smart home service applications into technical documents for "good housing" construction, and support the intelligent upgrading of home and appliance products.
For AI plus daily consumer goods, the plan promotes the application of 人工智能 across all stages of agriculture, advances innovation and upgrading of household products, spreads the innovative application of "AI plus textiles" across the whole industrial chain, pushes forward the digitalization of sports products, and supports the intelligent upgrading of traditional classic industries.
On improving AI plus services consumption for greater quality and public benefit, the measures cover AI plus lifestyle services. They guide the building of smart dining, advance intelligent renovation of tourist hotels and restaurants, and accelerate the digital development of the domestic services industry.
For AI plus elderly care services, the plan expands the supply of silver economy products, promotes AI applications in elderly care institutions, pilots intelligent "medical, rehabilitation, care, and assistance" services, and launches a campaign to bring companion robots into care facilities.
Regarding AI plus childcare consumption, it calls for developing parenting intelligent agents, optimizing smart childcare management systems, building smart childcare service institutions, and cultivating new smart childcare business formats.
For AI plus culture, tourism, and sports consumption, the measures implement an "AI plus culture" initiative and accelerate construction of the "Wenrun" large model. They iterate the "Enter Zhejiang Travel" large model for culture and tourism, develop the "Ai You You" super intelligent agent, enrich the supply of quality cultural products, optimize consumer experience, and promote the "Hi You" platform. They also iterate the "Zhejiang Sports" platform, drive smart operation of sports venues, and promote innovative AI applications in event-related processes.
On AI plus health consumption, the plan accelerates industry applications, iterates and promotes Anzhen'er, and advances research and application of intelligent diagnostics in traditional Chinese medicine. It empowers clinical care by improving the "Zheli Zhiyi" AI-assisted diagnosis and treatment system, and promotes the broader adoption of medical 人工智能.
For AI plus education and training, it encourages schools to upgrade digital teaching environments and facilities, supports research and development of educational terminal products, and backs the construction of a batch of AI-themed science popularization experience centers and practice bases.
In expanding platform scenarios for AI plus consumption, the measures develop the AI-driven first-release economy. They increase efforts to attract and cultivate first stores, build an incubation matrix for debut events, cultivate AI first-store incubation zones, and support the display, distribution, and debut of AI products.
On enhancing AI consumption scenarios, the plan builds a batch of "AI plus consumption" cluster zones, promotes intelligent renovation of old commercial venues, builds smart stores and smart business districts, and creates intelligent professional markets.
To strengthen the leading role of the platform economy, it promotes intelligent agents that empower consumption decisions, encourages platforms to popularize AI tools and intelligent agents, and helps merchants reduce costs and improve efficiency.
On strengthening supporting elements and institutional safeguards for AI plus consumption, the measures promote technological innovation and its translation into practical applications. They explore iterative applications of frontier technologies in the consumption sector and support the creation of benchmark "AI plus" application scenarios and intelligent agents.
They also intensify efforts to attract and cultivate quality enterprises and brands, bringing in leading companies, building "AI plus consumption industry" brand demonstration projects, continuing to hold new consumption innovation competitions, and encouraging 人工智能 to empower time-honored brands.
On strengthening diversified funding support, the plan explores using intelligent agents to precisely distribute consumption subsidies, encourages social capital to participate in "AI plus consumption" project construction, and encourages financial institutions to innovate consumer financial services.
Finally, on strengthening capacity building for security-related elements, it calls for improving the regulatory mechanism for "AI plus consumption" and reinforcing security capacity building across all links of the consumption sector.
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