Published by ChinaMNC · Beiliu

China's AI and Employment Policy: What Foreign Founders Operating in China Need to Know

A practical breakdown of China's State Council General Office opinion on adapting to AI development and building an employment-friendly development model, summarized for foreign founders running or registering companies in China.

Why This Policy Matters for Foreign Founders in China

China's State Council General Office has issued an opinion on adapting to artificial intelligence development while building an employment-friendly development model. For foreign founders operating or registering a company in China, the document signals how regulators intend to balance AI adoption with job protection — a balance that will shape hiring, workforce planning, training obligations and labor compliance. The opinion frames employment as the most fundamental livelihood issue and sets a goal of coordinating technological progress, industrial upgrading, job promotion and livelihood improvement within an inclusive development approach.

The text is guidance for government departments rather than a new law, but it indicates the direction of policy and the areas where local authorities will act. Foreign-invested enterprises should treat it as a planning signal, not a set of immediate legal requirements.

Where AI Job Creation Is Expected to Grow

The opinion promotes the “AI Plus” initiative and encourages eastern regions to cluster core AI industries while guiding central and western regions to take on upstream and downstream work such as data annotation and intelligent terminal manufacturing. It also calls for cultivating AI-native enterprises and specialized, refined, distinctive and innovative “little giant” firms, with eligible companies brought into special loan support programs for stabilizing and expanding employment.

• New positions: Companies may see expanded demand for roles such as digital management professionals, AI engineering technicians and AI trainers, with new occupation standards to be developed and released.
• Skills recognition: Localities are encouraged to add AI-related professional title evaluation categories and carry out vocational skill level recognition.
• Startups and SMEs: An AI SME entrepreneurship support plan, open-source ecosystems, and “small, fast, light, precise” digital products are intended to lower the threshold for AI adoption and improve smaller firms' capacity to absorb employment.

Practical Implications for Hiring and Workforce Planning

The document asks that AI be applied first in roles facing labor shortages or high environmental risk, and that the scope, intensity and pace of AI adoption in labor-intensive industries be handled prudently to limit disruption. Employers are encouraged to explore unemployment buffer periods — notifying affected workers in advance and offering transition and reassignment support when AI is deployed at scale.

A job-risk assessment mechanism is also outlined. For AI application projects in market access areas that could cause significant employment impact, an employment risk assessment would be conducted alongside project review, with authorities coordinating transition support. Other AI projects would be assessed as appropriate. Foreign founders planning AI-driven automation should build workforce impact analysis into project planning.

Training, Talent and University Cooperation

Universities and vocational schools, including technical colleges, are encouraged to adjust disciplines dynamically, fast-track AI-related majors, add AI “micro-majors” and run interdisciplinary talent programs. School-enterprise joint training is emphasized, with leading technology companies supported to participate in curriculum development, teacher training and teaching facility upgrades. Students are to gain hands-on enterprise experience, and company engineers may teach on campus.

A dedicated AI training plan includes the “Skills Light Up the Future” training action. Localities running project-based and order-based digital skills training are encouraged to align with AI market demand and to include college graduates, migrant workers and unemployed persons in AI employment and entrepreneurship training. Public training bases, enterprise training bases and high-skilled talent training bases may host AI skills training, and AI-related competitions may be added to existing vocational skills contests.

Public Services, Worker Protections and Social Security

The opinion calls for smarter employment services: intelligent policy matching, upgraded national employment information resources, the national college student employment service platform and the “China Employment” public service platform. It also encourages AI-enabled HR services, including recruitment models, intelligent interviews and virtual reality training.

On protections, the document calls for research on worker rights under human-machine collaboration, stronger consultation and coordination mechanisms, and enforcement of rights to pay, rest and leave, and occupational safety and health. It explicitly requires regulating AI use in human resources management and addressing illegal acts such as employment discrimination, false recruitment and privacy or rest-right violations caused by algorithm misuse. For flexible and new-form employment, the policy encourages participation in urban employee basic pension insurance and expands pilot occupational injury protection.

Risk Monitoring, Research and Income Distribution

Authorities plan cross-departmental data sharing on AI-related industry and employment, regional and sectoral intelligent monitoring models, and stronger early warning of employment risks. Special surveys will track AI penetration, job creation and replacement, and changing skill needs, with AI employment research centers to be set up using existing university and research resources. AI employment risk will be incorporated into the mechanism for preventing and resolving large-scale unemployment risk, with contingency plans and joint handling of labor relations risks.

The opinion also encourages pay systems suited to AI professionals, incentive mechanisms oriented toward knowledge value, and implementation of minimum wage classification guidance for skilled talent. Enterprises are encouraged to invest more in public-interest AI technology, services and open-source communities.

What Foreign Founders Should Do Next

• Map which roles could be affected by AI adoption and document transition support plans.
• Check eligibility for SME and employment-stabilization loan programs and local digital transformation services.
• Engage local human resources and social security departments on training programs and new occupation recognition.
• Review HR algorithms and AI recruitment tools for discrimination, privacy and rest-right compliance.
• Monitor local implementation measures, since provinces and departments are tasked with applying the opinion according to local conditions.

This summary is based on information published by the relevant Chinese government website and is general information, not legal or tax advice.