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Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework posits that different factors influence professional control over work, and problems caused by these factors have left journalism vulnerable to automation. The routine and mundane nature of a significant portion of journalistic tasks suggests that artificial intelligence may potentially replace many journalists in the future, thereby challenging the profession’s claim to expertise. For journalism to uphold its professional authority in the future, it needs to brace for the impact of artificial intelligence. Building on this analysis, we explore strategies for journalism to do so. This involves reinforcing professional ideals in new algorithmic practices, readjusting knowledge and skill taught in education, and reclaiming specialised work practices in organisations. Rather than a threat, the emergence of artificial intelligence then presents an opportunity for journalism to reintroduce the distinctiveness of the profession and rejuvenate its professional promise.
Møller et al. (2024) studied this question.