ARTIFICIAL INTELLIGENCE AS A TOOL FOR AUTOMATING NEWS PRODUCTION: IMPACT ON THE GENRE SYSTEM OF CONTEMPORARY JOURNALISM

Abstract

This article investigates how artificial intelligence (AI) reshapes the processes and genre system of contemporary journalism. As automated writing tools, natural language generation, and algorithmic curation become integral to newsroom operations, they not only enhance efficiency but also transform professional routines, editorial decision-making, and modes of audience engagement. The study examines how AI facilitates the emergence of new hybrid genres – algorithmic summaries, data-driven narratives, and personalized news digests – that merge computational logic with journalistic storytelling. However, the same mechanisms that increase speed and personalization may simultaneously narrow content diversity, marginalize long-form analytical formats, and reinforce engagement-driven biases. Drawing on interdisciplinary literature in media studies and AI ethics, this research argues that artificial intelligence acts as both a technological and cultural agent, redefining authorship, creativity, and responsibility in journalism. The article concludes that sustainable integration of AI requires maintaining the human core of journalistic practice – interpretation, ethical reasoning, and narrative depth – while adapting professional standards to algorithmic realities. AI should thus be viewed not as a substitute for journalism but as a transformative force demanding the reconfiguration of its functions, values, and genre architecture in the digital era.