Universities and employers are rethinking how and when students specialise as artificial intelligence reshapes entry-level work. The Conversation argues that no degree is fully “AI-proof,” and suggests that delaying narrow specialisation could help students adapt by building a broader base of knowledge and skills. It also points to the value of combining disciplinary expertise with capabilities that are less easily replaced by automation.
The NZ Herald highlights a related employment context, reporting that about one third of organisations are slowing entry-level hiring. Together, the two outlets link AI-driven changes in the labour market with the need for educational strategies that support career resilience. While the Conversation focuses on curriculum timing and skills design, the NZ Herald centres more on current hiring trends and the resulting implications for graduates entering the workforce. Both present the broader theme that students may benefit from flexibility as AI influences the demand for different kinds of graduate skills.
