Artificial intelligence (AI) is transforming multiple aspects of healthcare, aiming to improve clinical decision-making. However, nursing is no exception, as the adoption of these technologies can present significant challenges in staff training, algorithm reliability, and associated ethical issues. The objective of the research was to analyze the available scientific evidence on the influence of artificial intelligence on decision-making in nursing. The methodology allowed for an integrative review of the scientific literature published in the last 5 years, conducted between January and April 2025, in Scopus, Web Science (WoS), Medline, and Lilacs databases. The health science descriptors (DeCS) “nursing decision making,” “artificial intelligence,” “AI in clinical practice,” “nursing care technology,” “AI ethics,” “AI training for nurses,” and their English equivalents (MeCH) were used, in addition to the Boolean operators AND OR to combine the search, where 14 articles were identified through the rigorous selection criteria established. The results showed a significant influence on the employability of AI in nursing decision-making. The conclusion is that artificial intelligence has transformative potential for the profession, but its acceptance requires an important balance between technological advancement and humanized care.