The challenges of online journalism in light of artificial intelligence technologies

The objective of this study was to analyze the main challenges facing online journalism with the increasing integration of artificial intelligence technologies, as well as their professional, ethical, and future implications. The work seeks to understand how these technologies are transforming journalistic practices, news production models, and the relationship between journalists, audiences, and content. The methodology employed was theoretical-analytical, based on a critical review of specialized literature on artificial intelligence, digital journalism, and communication studies. Fundamental concepts, characteristics, and areas of application of artificial intelligence were analyzed, as well as its benefits and risks in the field of online journalism, drawing on previous studies and conceptual approaches. The results demonstrate that artificial intelligence offers significant benefits to online journalism, such as increased efficiency, automation of routine tasks, content personalization, and improved analysis of large volumes of data. However, significant challenges were also identified, including the spread of fake news, algorithmic bias, job losses, privacy risks, and a decline in journalistic creativity. The study concludes that artificial intelligence does not completely replace journalists but rather redefines their role, demanding new technological and ethical skills. The future of online journalism will depend on the balance between leveraging these technologies and preserving the profession's core values, especially credibility, social responsibility, and journalistic ethics.