Egyptian journalists and generative AI adoption: views, anxiety, sustainability, and ethics

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

The rapid emergence of generative artificial intelligence (GenAI) is transforming journalism, creating opportunities alongside professional and ethical challenges. This study examines how Egyptian journalists perceive and use GenAI in newsrooms, focusing on workflow, challenges, career sustainability, and ethics. Guided by TAM3 and Bourdieu’s Field Theory, a survey of 72 journalists was conducted. Findings show cautious but practical adoption, with GenAI used mainly for routine tasks such as research and transcription, while editorial decisions remain human-led. Key concerns include accuracy, weak Arabic processing, and limited training. Journalists also fear job displacement, skills obsolescence, and reduced autonomy. Overall, GenAI offers benefits, but its integration is constrained by technical limitations, professional norms, and concerns about the future of journalism, highlighting the need for training and ethical guidelines.