By He Qi in Shanghai | chinadaily.com.cn | Updated: 2025-07-28
A recent talent industry report by Zhilian Recruitment – one of China’s major recruitment platforms – highlights a supply-demand surge in the robot industry, with humanoid robot recruitment demands more than 5 times higher than last year.
Data from Zhilian Recruitment reveals a 6 percent year-on-year increase in recruitment positions in China’s robot industry in the first five months of 2025, accompanied by a 32 percent rise in job seekers, indicating a significant growth in supply and demand.
Particularly, recruitment positions in the humanoid robot sector skyrocketed by 409 percent year-on-year, with job seekers increasing by 396 percent. The advancements in embodied intelligence technology and the rising demand for intelligent manufacturing and elderly care are driving the commercialization of humanoid robots, leading to a surge in job opportunities, according to the report.
Technical roles dominate the job landscape, constituting 62 percent of recruitment positions and attracting 71 percent of job seekers in the first five months of 2025, surpassing production and sales roles, according to the report.
Industries seeking robot-related technical talents prioritize industrial automation, accounting for 10 percent of the demand, followed by manufacturing sectors like electrical machinery/equipment manufacturing and artificial intelligence.
Zhilian Recruitment also unveiled the AI recruitment assistant “Ailin” during the World Artificial Intelligence Conference 2025 (WAIC), held in Shanghai from July 26 to 28.
“AI Agent technology streamlines traditional recruitment processes, allowing HR professionals to focus on strategic talent decisions rather than repetitive tasks,” said Wang Hao, CTO of Zhilian Recruitment.
Previously, 70 percent of HR’s time was spent on repetitive tasks like screening, inviting, and conducting preliminary interviews. AI now efficiently manages these processes, enabling HR to concentrate on critical decisions such as talent strategy and organizational optimization, according to Wang.