The current technological transformations, driven by Artificial Intelligence (AI), have impacted various fields, including journalism. This study investigates how AI is being applied in journalistic practice by analyzing scientific texts about its positive and negative effects. The methodology adopted combines quantitative and qualitative approaches, with the analysis of 20 documents collected from the Google Scholar and CAPES Periodicals Portal databases. The results reveal that the use of AI in journalism can accelerate content production and data interpretation but also raises concerns such as misinformation and the potential decline of the journalism profession. Negative impacts observed include the low quality of complex texts and the lack of information verification. On the other hand, rapid production and human quality in fact-checking highlight the importance of the journalist's role as a mediator of information. The study suggests the need for ethical regulations and transparency in AI use, while emphasizing that, although the technology offers opportunities, the essence of journalism — the pursuit of truth — remains irreplaceable. Therefore, further research is needed to fully understand the implications of AI in journalism, aiming to maximize its benefits and mitigate the associated risks.