Which university degrees will survive AI job disruption? - Asia Specific podcast, BBC World Service

Summary of the BBC Asia Pacific podcast episode (AI + university degrees)

Indonesia’s higher-education debate

The episode focuses on controversy in Indonesia after a senior official—Secretary General of the Ministry of Higher Education, Science and Technology—suggested universities may need to evaluate and possibly close “majors” deemed irrelevant. The goal is to reduce the mismatch between graduates’ skills and industry needs.

Backlash and clarification

Student backlash followed, largely because students questioned:

• What “relevant” vs “irrelevant” means in practice
• Whether the government is trying to match the right kind of industry demand

Shortly after, the education ministry clarified it would not close majors. Instead, it would work with universities to keep programs aligned with technological, scientific, and industrial development.

Push toward STEM—and whether it’s “safe” under AI

The hosts describe a broader regional trend: governments in Asia (including China) encourage more students to pursue STEM fields (science, technology, engineering, mathematics). The episode argues that Indonesia’s STEM output is relatively low, citing figures suggesting only a minority of graduates come from STEM majors.

However, it also points to limits in trying to steer student choices.

Example: Australia’s incentive approach

The hosts compare Indonesia’s situation to Australia’s past approach under the Morrison government, where:

• Pricing/fees were used as incentives—making STEM degrees cheaper and humanities more expensive.

Research from the University of Melbourne is cited, showing that only a small fraction of students changed majors, suggesting financial incentives don’t reliably reshape preferences—particularly when students base decisions on earlier interests and preparation.

Regional capacity and labor-market absorption problems

Even if governments expand STEM enrolments or programs, the episode argues outcomes depend on job availability and hiring absorption.

Japan example

Japan has promoted STEM education and funded university STEM expansion, but the episode notes persistent challenges such as:

• Demographic decline
• The large number of private universities
• Difficulty increasing participation—especially among women

Gender gap in STEM employment (Indonesia)

UNESCO data is cited, noting women’s participation in the STEM workforce is around 8%. The episode also claims that women enrol in STEM majors at much higher rates (around 35–37%), yet many do not pursue STEM careers. It highlights:

• Social stereotypes and cultural expectations
• Results such as underemployment/unemployment or switching fields due to limited technical job demand

China’s top-down degree-list control

The episode explains that China tightly regulates university majors through a national list of permitted courses, which can be adjusted yearly. As priorities change—including AI-related areas such as robotics and drone engineering—some programs are expanded while others are removed, including degrees viewed as less aligned with national development goals (examples mentioned include public management and languages, where AI is said to perform well already).

AI and youth job insecurity

The hosts discuss whether AI is currently causing layoffs in Indonesia or mainly shifting expectations about the future. The episode suggests AI may affect entry-level roles disproportionately—creating a paradox where:

• New graduates still need entry jobs
• Those jobs are vulnerable to automation

Where AI may—and may not—replace work

The episode distinguishes between:

• Tasks/jobs more easily automated, including:

  • Entry-level roles
  • Administrative work
  • Some legal or technical work It also cites AI-linked job cuts in tech companies such as Oracle and Meta.

• Human-centered roles, especially those requiring:

  • Emotional intelligence
  • Intuition
  • Empathy
  • Human care The hosts associate these with many humanities and service professions, such as nursing. The argument is that even if technical work is threatened, demand for human interaction—particularly in healthcare contexts—may persist.

Overall outlook

The episode concludes that STEM-focused strategies could backfire if AI reduces demand for technical entry roles faster than new human-centered pathways expand. The “big question” of which jobs will survive remains unresolved, because the transition is still early.

Presenters / contributors

• Mariko (BBC World Service, presenter/host)
• Ajeng (BBC World Service, contributor in Jakarta)
• Bill Birtles (editor of the podcast, contributor)