Generative Artificial Intelligence and the Media Industries: Collective Consequences for Journalism, Advertising, and Public Relations

Abstract

Generative artificial intelligence (AI) has rapidly emerged as a disruptive force in media industries, reshaping how information is created, disseminated, and consumed. While much scholarly attention has focused on individual sectors such as journalism, advertising, or public relations, the broader collective consequences of AI adoption across these interconnected fields remain underexplored. This paper discusses how generative AI transforms professional practices, ethical frameworks, and audience relationships across the three domains, highlighting both opportunities for efficiency and innovation as well as challenges of credibility, transparency, and trust. By framing AI as a cross-industry actor, the study emphasizes the need to move beyond siloed approaches and toward a holistic understanding of media ecosystems in the age of automation. Ultimately, the paper argues for a shared research and policy agenda that addresses the converging risks and responsibilities of journalism, advertising, and public relations, with particular attention to disinformation, professional identity, and audience literacy in a rapidly evolving communicative environment.