Media, particularly in the radio and television sector, is undergoing profound transformations in the contemporary era. This study aims to present a conceptual model for applying artificial intelligence (AI) in strategic media management, with a specific focus on radio and television organizations, and seeks to identify the key components and dimensions of this model. The emergence of new media and digital platforms has intensified competition, while shifts in audience preferences have highlighted the necessity of producing more engaging and personalized content.







AI, as a transformative technology, plays a pivotal role in redefining strategic management. By influencing key areas such as content production, targeted distribution, audience behavior analysis, and task automation, it supports more informed decision-making and enhanced performance.







This research adopts a qualitative approach and a descriptive–analytical method. Findings indicate that AI plays a central role in all stages of strategic media management, from trend analysis and data-driven planning to implementation optimization and performance evaluation. The proposed conceptual model, by placing AI at the core of the process and linking it to inputs, objectives, strategy types, and the surrounding environment, emphasizes the necessity of deep integration and alignment. Achieving success in utilizing this technology requires full alignment with the overarching directions of the media organization and going beyond purely technical dimensions.