Dubbing in the AI and streaming age : innovations and implications for translation training

Abstract

Recent developments in Media Localization, such as the shift to cloud-based ecosystems, have significantly impacted both professional practice and training environments (Bolaños- García-Escribano & Díaz-Cintas, 2020; Bolaños-García-Escribano, Díaz-Cintas & Massidda, 2021). The ongoing evolution of technology is reshaping industry demands and the job market, giving rise to new professional profiles that require specific skills and versatility (Bolaños García-Escribano, 2025). This chapter will explore practical training applications in a university context, focusing on three major shifts in translation for dubbing: the rise of standardized indirect translation workflows (Agulló Garcia et al., 2024; Pięta et al. 2023), the use of cloud dubbing tools for translation and adaptation (Chaume & De Los Reyes-Lozano, 2021; Spiteri Miggiani, 2023), and the emergence of AI dubbing technologies (Spiteri Miggiani, 2024). These trends drive new industry demands and necessitate specialized training. The paper will examine these changes through industry and academic perspectives, supported by systematic framework proposals and experimental research findings (Spiteri Miggiani, 2022; 2024; 2025).