Indonesia’s higher education system is being pushed to rethink what it teaches, how it teaches it and how quickly it responds to technological change. Deputy Minister of Higher Education, Science, and Technology Stella Christie has urged universities to understand how artificial intelligence (AI) is developing, so they can reassess their role and build stronger AI readiness among graduates entering a changing job market. Christie said AI does not grow in a straight line but exponentially: progress may look slow at first, then shift very rapidly. Universities, she said, must understand that trajectory to anticipate technological shifts and re-examine their role. The implication is that institutions that do not follow the direction of AI development will struggle to prepare students for the jobs and research environment that are already changing around them. Why AI is now a campus issue, not just a tech issueChristie’s remarks reflect a broader shift in how governments and employers view higher education. AI is no longer confined to specialist laboratories or software firms. It is increasingly affecting recruitment, productivity, data analysis, content generation and decision-making across industries. That means universities are being asked to do two things at once: teach students how to use AI responsibly and make sure they can think critically when technology becomes part of everyday work. The deputy minister’s emphasis also points to a growing policy challenge. Universities are often slower than private industry to revise curricula, upgrade infrastructure and train faculty. Yet the pace of AI adoption means that a lag of even a few years can leave graduates behind. Christie said universities need strategies to adapt to the changes AI brings, including a fresh look at their role in education and knowledge creation. She said institutions should reflect collectively on how they create and pass on knowledge, and on whether they can still curate it effectively. The aim, she said, is for students to do more than retrieve information through AI, and instead analyse it and connect it to real-world problems. Preparing graduates for work that is changing fastThe labour market angle is central to Christie’s warning. She pointed to the potential decline of entry-level jobs, since many tasks traditionally given to junior staff could be automated by AI at lower cost. Graduates today are entering a workplace where AI tools are increasingly used to automate routine tasks, support analysis and improve efficiency. Christie said mapping workforce requirements and graduate competencies is becoming increasingly important. Such mapping would show how well graduates’ skills match industry demand, which core competencies need strengthening, and where the number of graduates and the needs of the job market do not line up. As a practical step, she proposed a standardised survey of Indonesia’s human resource landscape, drawing on earlier studies.For universities, the implication is that employability can no longer be treated as a narrow career-services function. It has to be built into the curriculum itself. That may mean introducing AI literacy across subjects, redesigning assignments to reflect real-world use cases and giving students exposure to ethical questions around data, bias and accountability.
