Artificial Intelligence (AI), which we met in the mid-twentieth century, made a big impact in November 2022 when ChatGPT was made available to the public. Today, advanced models of AI, which we have started to use in all areas of our lives, are used in areas such as health, finance, education, trade, with AI-supported assistants, content production and many more different versions. The majority of the 71 AI-related devices approved by the FDA (Food and Drug Administration) in 2021 are cancer diagnostic devices (Kolla & Parikh, 2024; Luchini et al., 2022), applications that analyze patient history and lifestyle data and enable quick decision-making in emergencies (Iserson, 2024), smart devices that measure glucose (Miranda et al., 2024) and many other developments, although they seem to make human life easier, raise concerns that some professions may disappear. The current picture is that things and roles are changing, not only in daily life but also professionally. Those who cannot discover their new roles in this new world order seem likely to fail. As the developments of AI in the field of health accelerate, nursing will be one of the first professional groups to be affected. Despite the growing importance of AI in healthcare, current evidence reveals that AI-related education is not yet systematically integrated into nursing curricula, and measurable educational outcomes remain limited (Feigerlova et al., 2025).

The integration of AI within the healthcare system can be approached from two distinct viewpoints. One of the issues that must be addressed is the effect that this will have on the quality of healthcare in terms of patient care. In light of the global nursing shortage, there is a growing recognition of the potential for AI to augment nursing expertise in patient care (Nashwan & Abujaber, 2023). The application of AI encompasses various domains, including risk identification, patient stratification, health assessment and research development. The potential of AI to enhance care delivery through the optimization of medical records and nursing care planning is a subject that merits further investigation. This means a complete revolution in patient care. Although leveraging AI can improve patient outcomes and efficiency, many challenges may arise, such as data security, medical errors and ethical issues. It emphasizes the need for more research on the impact of AI on education and ethical considerations (Ruksakulpiwat et al., 2024). While it seems that AI can increase efficiency in decision-making, patient care and research in the field of nursing, human review and monitoring is a very important aspect of nursing practice (Gunawan, 2023).

In addition to the challenges related to patient care that may arise from the integration of AI into the healthcare system, it is imperative to consider the adaptation of nurses to this new technological integration. A study conducted with nurses' reports that nurses with lower levels of education and less familiarity with AI technologies exhibit higher levels of anxiety about AI. Furthermore, it has been documented that individuals who harbor the conviction that AI will not exert a favorable influence on patient care are also reported to exhibit elevated levels of anxiety (Çobanoğlu & Oğuzhan, 2023). A study investigated nurses' attitudes towards service robots in healthcare and patients' willingness to use them. Nurses showed a moderate positive tendency to accept robots, but patients showed a low willingness. Concerns include job insecurity and role clarity, while potential benefits include reduced physical strain and increased productivity. The study suggests that clear role descriptions for these robots could increase their integration into healthcare settings (El-Gazar et al., 2024). However, these upcoming uncertainties may cause professional anxiety among nurses, with limited research on nurses' use, adaptation, and concerns about AI in the care environment.

In contemporary society, characterized by accelerated technological advancement and widespread AI integration, it has been documented that approximately one-fifth of nurses encounter limited job security (Sokhanvar et al., 2018). The study emphasized the mediating role of job satisfaction in the relationship between job security and turnover intention among nurses, underscoring the significance of developing effective communication strategies and policies to enhance job security and mitigate turnover intention (Falatah et al., 2021). In order to enhance the level of job security within the nursing profession, it is imperative to establish a stable and supportive working environment (Xiong et al., 2024). There is no clear evidence that the rapid development of artificial intelligence systems increases or decreases job security in the nursing profession. It is also unclear how anxiety about artificial intelligence affects the perception of job security. Over time, this uncertainty may lead to professional anxiety and insecurity in nursing. This study was conducted to evaluate (1) the relationship between nurses' artificial intelligence (AI) anxiety and their perception of job security, (2) the differences in AI anxiety and job security perception based on demographic and professional variables such as age, gender, clinical experience, and department of employment, and (3) in order to provide insights for the development of AI-related educational strategies in nursing curricula.