AI native teaching is here. Australia’s academic workforce isn’t ready

The institutions that move first – by embedding AI into governance, workforce planning, and academic role design – will define the next era of higher education capability. Those that hesitate will find themselves constrained by outdated assumptions about what academic work should look like, writes professor John Chelliah.

A global shift that changes the rules

AI native-teaching is no longer a speculative future – it is now regulator-approved practice. With the London School of Innovation (LSI) receiving approval to deliver master’s programs using AI tutors, the global higher education sector has entered a new phase. For Australia, the implications are immediate: our academic workforce model is not designed for an environment where AI can teach, assess formatively, and personalise learning at scale.

AI is now doing the heavy lifting

The LSI model demonstrates that AI can now handle the “heavy lifting” of instruction – explanation, practice, questioning, and real-time feedback – with a level of consistency and responsiveness that traditional teaching structures cannot match. Every student receives a personalised AI tutor that adapts to their background, pace, and learning needs. This is not a marginal improvement; it is a structural shift in how learning is delivered.

The academic role is being redefined

This does not eliminate the need for academics. It redefines their purpose. The academic role of the future becomes centred on judgment, ethics, standards, and the human conversations that shape belonging and identity. AI takes over the repetitive and scalable components of teaching, while academics focus on the complex, relational, and high-stakes work that cannot be automated.

HR leaders must rethink workforce capability

For HR leaders in higher education, this shift demands a workforce strategy that goes far beyond “AI training”. Institutions will need academics with deeper capability in assessment integrity, ethical oversight of AI-supported learning, student wellbeing, and industry contextualisation. These are not peripheral tasks – they become the core of academic identity in an AI native environment.

Governance, not gadgets, will determine readiness

The real disruption is not the technology but the governance. The UK regulator has endorsed a model where curriculum, assessment, and oversight remain human-led, while AI handles delivery and feedback. Australia, by contrast, is still treating AI primarily as a compliance risk to be policed rather than a capability to be integrated. This posture is increasingly out of step with global developments.

The cost of waiting for competitiveness

If Australian higher education institutions do not redesign academic roles now, they will be left retrofitting 20th-century workforce structures into a 2030 learning environment. The risk is not that AI will replace academics, but that institutions will fail to adapt quickly enough to remain competitive, credible, and attractive to learners.

A smaller, more specialised, more human workforce

The institutions that move first – by embedding AI into governance, workforce planning, and academic role design – will define the next era of higher education capability. Those that hesitate will find themselves constrained by outdated assumptions about what academic work should look like. The academic workforce of the future will be smaller, more specialised, and more human. The question for Australia is whether we will shape that future – or wait for it to be shaped for us.

Professor John Chelliah is a professor and chair of the academic board at The Institute of International Studies and an adjunct fellow at the University of Technology Sydney Business School.

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