1. [para. 1][para. 2][para. 3][para. 4] China’s State Council issued a five-year employment plan implementing the “employment-first strategy” through 2030, marking an upgrade from previous “employment promotion” titles. The plan makes high-quality and full employment a priority in economic and social development, formally embedding this goal into the policy document’s title and addressing challenges such as an aging population, sluggish youth hiring, and the rapid advance of artificial intelligence (AI).
2. [para. 5][para. 6] The plan identifies the main problem in China’s job market as a widening mismatch between workers’ skills and employers’ needs. To fix this, it calls for balancing investment in physical infrastructure with investment in people, building a more employment-friendly development model, and improving both the quality and scale of jobs.
3. [para. 7][para. 8][para. 9] Unlike the previous five-year plan, which required over 55 million new urban jobs (a goal met by August 2025), the new plan drops hard numerical targets but retains key benchmarks. These include holding the surveyed urban unemployment rate below an annual average of 5.5%, raising the urban employment share from 65.6% in 2025 to 68% by 2030, and ensuring labor productivity growth outpaces GDP growth. Additional targets for 2030 include raising the share of skilled workers in the labor force to 35%, expanding unemployment insurance coverage by 6 million people, and expanding work-injury insurance coverage by 40 million people.
4. [para. 10][para. 11][para. 12][para. 13] The plan establishes an employment impact assessment mechanism, instructing officials to “exercise caution in rolling out policies with obvious contractionary effects on employment.” Major policies, projects, and industrial layouts will be evaluated for their impact on job creation, which will serve as a critical reference for investment approvals. Professor Ouyang Jun called this a “very significant signal” that solidifies the macroeconomic orientation of prioritizing employment, though he cautioned it could create tensions with other policy goals. The plan also shifts corporate responsibility, now calling on state-owned firms to play a leading role in stabilizing recruitment, whereas previous plans emphasized private and smaller firms.
5. [para. 14][para. 15][para. 16][para. 17][para. 18] The plan places particular weight on young workers, older employees, and gig laborers. For young workers, graduate employment outcomes will now serve as a primary basis for allocating university resources, evaluating educational quality, and adjusting academic disciplines and enrollment plans. A separate chapter is devoted to college graduates, underscoring the urgency of their employment challenges. For older workers, the plan calls for creating diverse and flexible job opportunities and ensuring basic labor rights protections for those beyond standard retirement age. For gig workers, it aims to improve access to equal public services (including vocational training and compulsory education for their children) based on place of residence, expand social insurance participation, and require digital platforms to standardize algorithms for transparency and worker input.
6. [para. 19][para. 20][para. 21][para. 22] On AI, the plan directly integrates the technology into core economic and employment strategy, unlike the previous plan which mainly referenced AI as a risk. It deepens the “AI+” initiative, encouraging entrepreneurial projects that create new application scenarios and commercialize technological breakthroughs. The plan outlines a dual approach: expanding new employment spaces and professions in emerging sectors, and deploying AI in traditional industries to improve working conditions, safety, and efficiency. It introduces a support program for worker transition and reskilling. To manage risks, authorities will establish a specialized monitoring system to track AI’s impact on employment, including job creation and displacement trends, AI adoption levels, and evolving skill demands.
AI generated, for reference only
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