When handheld calculators entered classrooms in the 1970s, critics sounded the alarm on a wave of math illiteracy. With the internet, the panic shifted to the death of reading. Yet neither apocalypse happened. Instead, education adapted, turning these disruptors into essential extensions of human intelligence.Generative AI marks a similar turning point for higher education. In lecture halls across Malaysia and Indonesia, students routinely use tools like ChatGPT, Gemini and Claude for everything from research and writing to coding and problem-solving.

Many universities are pushing back against this trend, introducing stricter regulations, academic penalties and AI detection software.

This response fundamentally misjudges the challenge. The question isn’t whether students should use AI; they already do. The real question is how universities will train them to use it responsibly.

Instead of fighting generative AI as a threat to integrity, institutions in Malaysia and Indonesia should embrace it as a vital productivity tool by focusing on three priorities: teaching AI literacy, redesigning assessments and embedding ethical frameworks.

Future graduates will enter workplaces where AI assists with predictive analytics, software engineering, financial analysis, legal research and strategic decision-making. More than one-third of entry-level jobs now require AI skills, nearly triple the share from autumn 2025. Some 28 percent of employers say they’re seeking early career talent who can use AI in their work.