Generative Artificial Intelligence (AI) has drawn widespread attention, with its capabilities and transformative potential drawing significant public and academic interest. Despite the growing industry and scholarly focus, the existing literature remains fragmented, lacking a cohesive framework to understand its complexity and underlying dynamics. This study addresses this gap by presenting a conceptual framework derived from a review of 98 peer-reviewed articles and conference papers published since 2020. It provides an overview of generative AI’s role across film, television, gaming, animation, extended reality (XR), and live performance sectors, offering an initial snapshot of the state of research and laying a foundation for future studies in this evolving field. Drawing on this analysis, the comprehensive review maps the key themes of the generative AI literature and explores their conceptual relationships. It identifies areas of progress and highlights gaps in the existing knowledge, proposing directions for further research to deepen the understanding of the field. By providing an in-depth examination, this study contributes to a more nuanced and informed perspective on generative AI’s integration and impact within the screen and live performance industries.
Huang et al. (2025) studied this question.