Artificial intelligence (AI) is increasingly influencing educational practice through applications such as personalised learning, automated assessment, learning analytics, and generative AI tools. These developments have generated debate regarding the future role of teachers and the extent to which AI may transform educational work. Drawing on the perspective of human–AI complementarity, this conceptual article examines how AI is reshaping teaching by creating new opportunities, introducing significant challenges, and expanding teachers' professional responsibilities. The discussion highlights the potential of AI to support personalised instruction, timely feedback, data-informed decision-making, and professional learning. At the same time, concerns about academic integrity, algorithmic bias, data privacy, and digital inequality continue to pose significant educational and ethical challenges. The article argues that AI is unlikely to replace teachers because effective teaching depends on human capacities such as pedagogical judgment, ethical reasoning, creativity, and socio-emotional support. Consequently, teachers are increasingly expected to facilitate learning, critically evaluate AI-generated information, provide ethical guidance, and promote AI literacy. The article concludes that the future of education depends on productive collaboration between teachers and AI rather than technological substitution.
Baja et al. (Mon,) studied this question.