Artificial Intelligence and journalistic work

The integration of artificial intelligence (AI) into journalism is developing unevenly, reinforcing structural asymmetries between elite media conglomerates and local newsrooms with limited resources (de-Lima-Santos & Ceron, 2021). Existing research has focused primarily on normative dimensions of AI adoption, such as stages of implementation, types of use, and journalists' perceptions of the impacts on their routines and autonomy. It is often presented as a "tool" to increase efficiency, capable of alleviating the technical burden of news production by reducing repetitive tasks that would otherwise consume the time dedicated to reporting and analysis (Fieiras et al., 2024). However, newsrooms with limited resources face systemic barriers that prevent the transition from experimentation to meaningful integration (Molla & Ahsan, 2025; Domínguez-Partida, 2025; Martínez-Navarro, 2025). In addition, studies demonstrate a growing concern about ethical implications, accuracy, and credibility (Cools & Diakopoulos, 2024; Gutiérrez-Caneda et al., 2024). This promise of efficiency also coexists with a widespread fear that AI may contribute to the elimination of positions and dismissals, particularly in economically fragile environments (Munoriyarwa & de-Lima-Santos, 2025). This coordinate proposes to gather research that investigates the impacts of artificial intelligence on working conditions, professional identities and organizational dynamics of Brazilian journalism, with special attention to local and regional contexts