China’s AI push starts quietly displacing contractors and graduates

A Hangzhou contractor said her employer began quietly firing contractors in March after ordering staff to work with AI tools, including an agent called OpenClaw. She said managers first pushed employees to map their workflows into the system, then used the same process to hand tasks over and reduce headcount. The same company also started pulling back on graduate hiring, a sign that automation pressure in China is reaching beyond routine back-office work and into the entry-level pipeline.

That matters because China’s AI push is not unfolding in a vacuum. The State Council issued its AI Plus guideline in August 2025, setting a national target for new-generation intelligent terminals and AI agents to surpass 70% penetration by 2027. Beijing has cast that drive as part of a broader modernization plan, one meant to lift productivity, speed output and strengthen competitiveness. In practice, however, the incentives for companies are straightforward: use AI to do more with fewer people, especially in firms under pressure to cut costs.

The labor market is already vulnerable. China’s youth unemployment rate stood at 16.3% in April 2026, while 12.7 million university graduates were expected to enter the job market this year. That combination gives extra weight to every reduction in contractor work and every slowdown in campus recruiting. Jobs that once absorbed new graduates into the tech economy are becoming less secure just as the pool of job seekers is swelling.

Official messaging has tried to keep pace with the disruption. Xinhua and other state media have framed AI as reshaping employment and creating new job categories, while also stressing that AI skills are increasingly required in hiring. Caixin has also described a graduate-market shift in which firms are giving more weight to AI skills across both technical and non-technical roles. At the same time, Chinese tech companies are still competing aggressively for AI talent, even as they trim lower-value work elsewhere, turning the labor market into a two-track system.

The result is a quieter kind of layoff: not a headline-grabbing restructuring, but a gradual narrowing of contracting, a tightening of graduate intake and a redistribution of work toward smaller teams with AI tools. For policymakers, that is the central contradiction. China wants AI to modernize the economy, but the first visible cost may be borne by the contractors and graduates who once formed the industry’s broadest employment base.