Artificial intelligence in radio broadcasting: current cases, challenges and prospects

purpose of the study is to analyze current trends in the introduction of artificial intelligence technologies in the field of radio broadcasting using the example of foreign and domestic experience. Among the research objectives were highlighted: systematization of key technological practices in the field of AI for radio, identification of models for integrating AI into broadcasting, as well as assessment of the impact of automation on the economy of media and content production in general. The following research methods were used: case analysis of radio stations using AI («Absolut Radio AI», «CADA», and «Neuro Flow»), as well as comparative analysis of platforms («RadioGPT», «Mubert», and «ElevenLabs») that provide the capabilities of robotic technologies for creating radio stations and individual her blocks. The key results of this study are the identification of two main models of AI implementation (full and hybrid), the installation of the most popular functions of robotic technologies on radio, and the confirmation of the hypothesis that artificial intelligence technologies can reduce operating costs, but cannot replace creative human functions. The practical significance of the work lies in the possibility of applying the identified models of AI integration by Russian radio stations, taking into account organizational and ethical constraints. The research results may be useful to students and scientists in related fields, as well as researchers in the field of radio broadcasting and artificial intelligence.

artificial intelligence, radio broadcasting, automation, media, generative AI, digital transformation