DOI: 10.17151/kepes.2026.23.33.7
How to Cite
Rubio-Tamayo, J. L., & Ángeles-Huesca, C. N. (2026). Generative artificial intelligence as a primary resource in audiovisual and multimedia production: an analysis of the output generated by Gen 48. Kepes, 23(33), 183–214. https://doi.org/10.17151/kepes.2026.23.33.7

Authors

José Luis Rubio-Tamayo
Universidad Rey Juan Carlos Madrid 
jose.rubio.tamayo@urjc.es
https://orcid.org/0000-0002-8305-9205
Perfil Google Scholar
Cristina Nayeli Ángeles-Huesca
Universidad de Nebrija 
cangeles@nebrija.es
https://orcid.org/0000-0002-5197-8004
Perfil Google Scholar

Abstract

The emergence of generative artificial intelligence (GAI) marked a turning point in contemporary audiovisual production, particularly with the advent of technologies such as ChatGPT, Midjourney, and Runway. The evolution of these tools has been exponential, expanding their range of applications, technical precision, and the degree of task automation, thereby transforming processes and workflows in the audiovisual and multimedia fields in unprecedented ways. This article addressed this transformation through two complementary approaches: a literature review that contextualized the development of GAI and its uses in the various phases of audiovisual production, and a multimodal analysis of 33 short films generated in the Gen 48 competition, a contest that challenged participants to create works in 48 hours using exclusively generative tools. It was concluded that IAGen not only shaped the form and rhythm of the works but also guided the emergence of new aesthetics, narrative structures, and creative strategies adapted to its capabilities and limitations. This study contributed to the understanding of hybrid human-machine agency in contemporary audiovisual creation and opened lines of research on its impact on production models and the development of new expressive languages.

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