AI Employment Impact Tracking: MyCOS Data Shows 2027 Graduates in AI-Replaceable Jobs Face 40% Longer Job Searches

The MyCOS Research Institute released its 2027 Chinese University Graduate Employment Tracking Report on January 18. Data shows graduates entering AI-highly-replaceable positions such as data entry, basic translation, and entry-level customer service face average job search cycles of 6.8 months, approximately 40% longer than the 4.9 months for 2026 graduates.

The report classifies graduate positions into high, medium, and low AI replacement risk categories. High-risk position employment rates were 61%, down 12 percentage points from the previous year; medium-risk positions were 78%, roughly flat; low-risk positions were 87%, up 3 percentage points.

MyCOS Research Institute director Wang Boqing stated: "The data clearly shows AI's structural impact on the job market. Most affected are not traditionally low-skill jobs, but medium-skill standardized knowledge work — precisely the main employment direction for university graduates."

Notably, the report also shows emerging new occupations. AI trainers, prompt engineers, AI ethics reviewers, and other new positions saw hiring demand grow over 200% year-over-year, though total numbers remain insufficient to fully absorb displaced workers.

Renmin University professor Zeng Xiangquan recommends that universities accelerate curriculum adjustments, integrating AI collaboration skills into general education. He also calls on the government to establish real-time AI employment impact monitoring mechanisms and timely transitional employment protection policies.

The International Labour Organization (ILO) concurrent global report indicates China's situation is not unique. Globally, AI's displacement of medium-skill positions accelerated notably in 2027, expected to affect approximately 120 million jobs worldwide by 2030.