China’s government moved decisively this week to accelerate artificial intelligence adoption across consumer markets, releasing a comprehensive implementation guideline that aims to embed AI into the daily lives of hundreds of millions of citizens. The plan, released jointly by the Ministry of Commerce and seven other government departments, represents one of the most ambitious attempts by any government to drive AI consumption at scale.
The initiative, framed as “AI Plus Consumption,” includes 17 specific measures organized into five strategic areas. The plan’s ambition is evident in its scope: rather than focusing narrowly on high-end applications or enterprise use cases, the government is targeting AI integration across goods consumption, services consumption, retail, logistics, and the creation of entirely new consumption scenarios.
Five Strategic Pillars of the Plan
The first pillar focuses on expanding smart product consumption. The guidelines call for increasing the supply of new AI products, upgrading consumer electronics, household appliances, and home products, and cultivating the smart wearable market. Notably, the plan emphasizes humanoid, quadruped, bionic, elderly-care, and companion robots, categories that have attracted significant investment and innovation in China but remain niche products for most consumers.
The plan also targets next-generation consumer devices, including AI-enabled smartphones, smart home systems, connected vehicles, wearable devices, and AI glasses. By explicitly calling for increased supply and upgraded versions of these products, the government is signaling to manufacturers that demand-side support, through subsidies and procurement, will accompany their supply-side investments.
The second pillar addresses services consumption, encouraging wider AI application in home services, elderly care, tourism, accommodation, catering, and education. The guidelines specifically mention smart elderly-care facilities, AI-enabled tourism services, and smart canteens in offices, schools, and hospitals. This focus on services reflects recognition that AI’s impact on consumer life extends beyond physical products to the services people rely on daily.
Retail, Logistics, and New Consumption Scenarios
The third pillar targets smart retail and e-commerce integration. The guidelines emphasize acceleration of smart retail systems, deeper integration of e-commerce platforms with AI capabilities, and improvement of smart logistics networks at county, township, and village levels. This focus on logistics is particularly significant: by improving last-mile delivery infrastructure in rural areas, the plan aims to ensure that AI-powered consumption benefits reach beyond urban centers.
The fourth pillar focuses on building “AI Plus Consumption” clusters and AI experience centers. These physical spaces would allow consumers to interact with AI products and services before purchasing, addressing one of the primary barriers to adoption: consumer unfamiliarity with AI capabilities and interfaces. The plan also encourages rental, sharing, and trial use of AI products in public venues, effectively creating a distributed network of AI demonstration and testing sites.
The fifth pillar establishes policy support mechanisms, including subsidy programs for next-generation smart terminals and other AI-related consumer products under the existing consumer goods trade-in policy framework. This approach leverages existing government procurement and subsidy mechanisms to accelerate adoption.
The “AI Into Millions of Homes” Campaign
CGTN reported that the initiative is framed around the goal of promoting AI entry into “millions of households and millions of shops.” This language echoes earlier Chinese government campaigns aimed at universal access to broadband internet and mobile telecommunications, suggesting that policymakers view AI adoption as a critical infrastructure objective comparable to connectivity.
The plan’s emphasis on rural areas and county-level logistics networks indicates that the government is specifically addressing the urban-rural divide in AI adoption. While AI products and services are increasingly common in major cities like Beijing, Shanghai, and Shenzhen, adoption rates in smaller cities and rural areas remain significantly lower. By targeting logistics infrastructure and establishing AI experience centers in county seats, the government aims to democratize AI access geographically.
Strategic Implications
The timing of the plan is significant. China’s economy has faced headwinds from weak consumer spending and slowing growth in traditional sectors. By promoting AI adoption, the government is seeking to create a new driver of economic growth while positioning Chinese AI companies to scale their products and services. The plan implicitly favors domestic AI companies over foreign competitors by focusing on products and services that Chinese companies are well positioned to deliver.
(Related: China’s State Council Issues ‘Employment-First’ Plan Targeting AI Job Creation)
The plan also reflects a broader strategic shift in how China approaches AI development. Rather than focusing narrowly on frontier model development or competing with the United States on benchmark performance, the government is emphasizing practical applications and consumer adoption. This approach acknowledges that AI’s economic value ultimately derives from real-world use cases, not from abstract measures of model capability.
Challenges and Opportunities
The success of the “AI Plus Consumption” initiative will depend on several factors. First, manufacturers must deliver AI products that consumers actually find useful and can afford. Second, the government must follow through on subsidy commitments and ensure that support mechanisms reach intended beneficiaries. Third, consumer education and trust-building will be critical, particularly in rural areas where digital literacy and familiarity with AI remain limited.
For AI companies, the plan represents both opportunity and risk. Companies that can develop products aligned with the plan’s priorities—particularly in elderly care, smart retail, and logistics—will likely benefit from government support and accelerated demand. However, the plan’s emphasis on affordability and accessibility may pressure margins and require companies to develop lower-cost product variants.