Why AI Is Hurting University Graduates in Hong Kong More Than Vocational Students

Artificial intelligence is beginning to reshape Hong Kong’s graduate job market—but its effects are uneven. Early signs suggest university graduates are facing a much sharper contraction in entry‑level opportunities than students coming out of vocational education.

Recent labour data and comments from industry leaders indicate that junior white‑collar roles are shrinking quickly as companies adopt AI tools and automation. At the same time, graduates trained in practical, skills‑based programs—such as those offered by Hong Kong’s Vocational Training Council (VTC)—appear to be somewhat more insulated from the disruption.

Entry‑Level Jobs for Degree Holders Have Collapsed

The most striking change is the rapid decline in entry‑level vacancies suitable for university graduates.

Government figures show that openings for such roles fell from about 80,000 in 2022 to roughly 31,000 in 2025, a drop of around 61 percent.

Several factors are contributing to this shift:

• Employers increasingly using AI tools to automate routine analytical or administrative tasks traditionally handled by junior staff.
• Companies becoming more cautious about hiring and training inexperienced graduates.
• Economic uncertainty reducing the number of entry‑level positions created across sectors.

As a result, fresh graduates report that companies are advertising far fewer roles, sometimes opening only a handful of positions where larger graduate cohorts were once hired.

The slump has triggered debate in Hong Kong about whether policies allowing non‑local graduates and overseas talent to work in the city should be reconsidered amid weaker demand for local degree holders. Some labour groups and industry figures have called for priority hiring of local graduates.

Why Vocational Graduates Appear Less Affected

In contrast, graduates from the Vocational Training Council, Hong Kong’s largest provider of vocational and professional education and training, appear to have avoided the worst of the AI‑related disruption so far.

One reason is the nature of their training. VTC programs focus heavily on:

• technical and applied skills
• industry‑specific training
• practical experience through placements or apprenticeships

These skills are often tied to operational, technical, or hands‑on roles that are harder to automate or outsource to AI systems than routine entry‑level office tasks.

While AI is still influencing many industries, the demand for technicians, skilled operators, and applied technology specialists has remained relatively stable compared with the sharp contraction in junior professional roles.

The Policy Debate: Are Graduates Being Squeezed?

The steep drop in graduate vacancies has raised broader questions about how AI will reshape early‑career pathways.

Traditionally, entry‑level roles served as training grounds where graduates learned practical skills on the job. But as automation reduces the need for large cohorts of junior staff, fewer opportunities may exist for new graduates to gain that initial work experience.

Officials acknowledge that AI is beginning to influence hiring patterns, particularly for entry‑level positions. At the same time, they argue that technological change can also create new roles and industries in the long run.

How the New VTC Chairman Plans to Respond

Jeffrey Lam Kin‑fung, appointed chairman of the VTC, has said the institution will adapt its strategy to the changing labour market.

Key initiatives he has outlined include:

Reviewing course offerings. VTC plans to reassess its programs to ensure they match emerging job opportunities created by technological change and evolving industry needs.

Strengthening links with industry. Aligning curricula with employer demand is intended to ensure graduates have skills that remain relevant as automation spreads.

Expanding internships and training opportunities. Lam has pointed to large‑scale developments such as Hong Kong’s Northern Metropolis project as potential sources of new placements and work‑based learning opportunities for students.

The strategy reflects a broader shift in workforce preparation: training systems may need to move faster to adapt as technology changes the types of jobs available to young workers.

A Changing Path From School to Work

The contrasting experiences of vocational and university graduates highlight a structural shift in the labour market.

AI is reducing demand for some traditional entry‑level professional roles, while practical and technical skills tied to real‑world operations remain in demand. If these trends continue, the boundary between academic and vocational education—and the value placed on each pathway—could evolve significantly in the years ahead.