The Unexpected Co-Pilot: Narratives of Training Specialists Introducing AI-Driven Clinical Tools to Seasoned Nursing Staff

Background: The prospect of Artificial Intelligence (AI) implementation in the healthcare field will revolutionize clinical decision-making and nursing practice. Nevertheless, senior nurses tend to have some reservations toward AI-based Clinical Decision Support Systems (AI-CDSS), especially on the issues of professional autonomy, workload, and even ethics. Purpose: it was to understand the issues and possibilities of introducing AI-based devices to experienced nursing personnel, their attitudes, obstacles, and possible ways of sustainable implementation. Methodology: A narrative review of PubMed, Scopus, CINAHL, and Web of Science (2018–2025) was conducted; eligible full texts were screened and thematically synthesized from 18 included studies. Results: The key obstacles to AI implementation were found to be more cultural and psychological than technical for decision makers. Nurses raised worries regarding the loss of expertise, risk to autonomy, and automation bias. A training co-pilot- a specialist mediating between advanced technology and clinical reality- was needed in the process of effective integration. Strategic imperatives like explainable AI, ethical sensitization, workload alignment, and institutional transparency became essential success factors. Conclusion: The paper highlights how effective AI implementation needs more than just technical implementation; it would need cultural adjustment, institutional openness, and training on specific skills designed to fit experienced personnel. To provide safe and sustainable integration of AI into nursing, it is necessary to create nurse informaticists as co-pilots and introduce ethical, transparent, and explainable practices.