The deployment of artificial intelligence (AI) in radiography is revolutionising the field, impacting various aspects of professional practice, education and research. This chapter explores the multifaceted effects of AI integration, focusing on key areas such as staff cognitive load and well-being, service redesign, interpretable AI, medical imaging advancements, data collection and access to datasets, risk prediction and clinical decision support tools, post-market surveillance, professional identity and the transformation of radiography research. The evolving roles and responsibilities in the AI-driven landscape are explored with recommendations for radiographers to embrace AI for public benefit. The chapter provides a comprehensive overview of the transformative impact of AI on radiography, offering valuable insights for practitioners, educators and researchers.