Generative AI has moved from curiosity to workplace reality in remarkably little time. What began as a set of experimental tools is now reshaping how knowledge work is performed across sectors, from consulting and law to engineering, marketing and education itself. In many organisations, AI is already being used to draft reports, analyse data, generate code and support decision-making. 

The speed of this shift raises a fundamental question for education systems: how do we prepare learners for a labour market that is evolving faster than traditional curriculum cycles? 

This challenge is particularly visible in higher and degree apprenticeships. Positioned at the intersection of university education and the workplace, apprenticeships sit unusually close to changes in professional practice. That proximity makes them vulnerable to disruption, but it also gives them a unique opportunity to respond. 

Across policy, industry and research, there is growing recognition that AI adoption is not simply a technological shift. It is a workforce transition.