This article explores the intersection of artificial intelligence (AI) and competency-based education (CBE) and highlights the potential of AI in transforming traditional educational approaches. AI refers to developing computer systems that can perform tasks that typically require human intelligence, such as understanding natural language, recognising patterns, making decisions, and learning from data. CBE is an approach to learning and assessment that focuses on measuring learners’ mastery of specific skills or competencies rather than relying solely on traditional measures like grades or seat time. It focuses on learners’ mastery of particular skills or competencies rather than relying exclusively on traditional measures like grades or seat time and promotes personalised learning experiences, flexible pacing, and individualised pathways for learners to demonstrate their proficiency. The integration of AI in CBE offers several potential benefits, including adaptive learning experiences, personalised feedback, and data-driven insights for instructional improvement. By integrating AI technologies into CBE, educators can enhance instructional design, adaptive assessments, and personalised feedback mechanisms. Moreover, by moving beyond traditional approaches, AI has the potential to revolutionise CBE by unlocking personalised, data-driven, and adaptive learning experiences that better meet the needs of individual learners, ultimately transforming the educational landscape. The potential of AI to move beyond traditional approaches in CBE highlights the benefits of AI in terms of efficiency, scalability, and the ability to provide personalised and adaptive learning experiences. Overall, leveraging AI in CBE holds significant promise in fostering more personalised, efficient, and effective learning environments, enabling students to develop essential skills for the future.