Abdulqadir Nashwan, Jibin Kunjavara
The exponential growth of artificial intelligence (AI) in healthcare has sparked both enthusiasm and apprehension within the nursing discipline. While AI promises to enhance clinical efficiency, accuracy, and decision-making, it simultaneously challenges nursing's humanistic foundations, its ethical commitments, relational presence, and caring philosophy. This paper critically examines how classical nursing theories, including those of Nightingale, Peplau, Orem, Roy, and Watson, can be reinterpreted in light of AI's expanding role in clinical practice, education, and research. Building on the epistemological traditions of caring science and adaptation theory, it introduces the AI-Enhanced Caring Adaptation Theory (AI-CAT) as a conceptual framework that situates AI as a collaborative partner in care delivery. AI-CAT conceptualizes the dynamic interaction among the Human Domain (empathy, ethics, and judgment), the AI Domain (data analytics, predictive modeling), and the Adaptive Interface (trust calibration, techno-empathy, and ethical co-agency), yielding augmented caring. The framework asserts that AI can amplify human compassion and moral reasoning when guided by nursing theory and ethical reflection. It also delineates implications for education, practice, and policy, advocating for digital literacy, critical reflection, and equitable AI governance. Ultimately, this discursive theoretical paper argues that the essence of nursing must evolve not by surrendering its humanity to algorithms, but by redefining what it means to care in an intelligent, interconnected world. AI may transform how nurses think, but it must never alter why they care.