AI Reshapes China's Job Market Without Mass Layoffs, Economist Says

AI transforms work without triggering widespread job losses in China

Artificial intelligence is fundamentally changing how work gets done in China, but the technology has not yet caused the mass unemployment many feared, according to Tang Min, a senior economist and former counsellor of China's State Council.

Tang told Forbes that AI primarily reshapes job tasks rather than eliminating full-time positions outright. The technology creates a paradox: certain job functions are shrinking while demand for high-end AI talent remains unfilled. China faces an estimated shortage of more than five million workers skilled in AI-enabled roles, even as entry-level white-collar positions contract.

Why it matters

China's experience offers a preview of AI's labor market impact for other major economies. With 12.7 million university graduates entering the workforce in 2026 and youth unemployment at 14.9%—three times the national rate—how China manages this transition will influence policy approaches globally. The country's struggle to balance automation's efficiency gains against employment pressures for young workers reflects tensions playing out worldwide.

Entry-level roles compress as AI handles routine tasks

Companies are using AI tools to consolidate work previously split across multiple junior employees. Tasks like basic copywriting, entry-level data analysis, and administrative drafting that once required three hires can now be handled by one AI-proficient worker, Tang explained.

This compression hits hardest at non-elite universities, where approximately 75% of China's 21 million full-time undergraduates study. Students at ordinary local public universities historically filled large volumes of junior white-collar openings—exactly the categories now being automated. These students lack the brand capital of elite schools for high-end roles but are often unwilling to take low-wage manual positions.

Students in inland regions with fewer local AI employers and those pursuing liberal arts majors face particularly elevated risk, Tang noted. A China Youth Daily survey found 51.8% of graduating seniors report higher job thresholds, with many opting for postgraduate study to delay entering a difficult market.

New occupations emerge despite displacement

The World Economic Forum's Future of Jobs Report 2025 projects 92 million job losses worldwide against 170 million new openings over five years, yielding a net gain of 78 million positions. New roles in China include AI trainers, large-model application specialists, and AI ethics officers.

China's central government has introduced an AI+ Action Plan providing worker retraining programs alongside industrial transformation policies. However, Tang warns that educational systems adapt far more slowly than AI iterates, creating risk of more severe employment shocks if institutional reforms lag.

University-industry partnerships show mixed results

University-industry collaborations have evolved beyond guest lectures to include joint laboratories, dual-advisor systems, and corporate-designed coursework. Examples include partnerships between the University of Electronic Science and Technology of China with China Electronics Technology Group, and Xi'an Fanyi University with iFlytek.

Yet structural frictions limit impact. Universities prioritize education while firms focus on commercial returns, leading to ceremonial partnerships with little substance. Local public and private colleges in inland regions struggle to attract meaningful corporate investment, worsening educational stratification.

Tang advocates for shared cloud-based AI training platforms, remote corporate mentorship programs connecting eastern firms with inland students, revised faculty evaluation rules that reward industry engagement, and third-party impact evaluation to screen out superficial collaborations.

These details were first reported by Russell Flannery in Forbes.