Artificial intelligence is rapidly reshaping the accounting profession, challenging long-held assumptions about the capabilities future professionals will require and how those capabilities should be developed and assessed. As AI becomes increasingly embedded in professional practice, accounting education faces growing pressure to evolve in ways that maintain both relevance and trust.

This keynote explores the implications of AI for accounting education, curriculum design and assessment, drawing on insights from emerging research, professional practice, and large-scale education transformation initiatives. The session will examine how AI is shifting the balance from technical knowledge acquisition to judgment, interpretation, ethical reasoning, and professional scepticism, and what this means for educators preparing graduates for an AI-enabled future.

Bridging research, curriculum and practice, the keynote will offer practical perspectives on designing learning and assessment approaches that remain authentic, defensible, and aligned to the evolving expectations of the profession.