The integration of artificial intelligence (AI) technologies in critical care settings is rapidly transforming healthcare delivery. As of 2025, AI adoption in Indian healthcare has reached approximately 47 percent in tertiary care centres. A descriptive crosssectional study was conducted among 300 staff nurses working in critical care units at Batra Hospital New Delhi to assess nurses’ knowledge and perception regarding AI applications in critical care. Data was collected using a structured 3-part questionnaire containing demographic profile, knowledge assessment, and perception assessment regarding AI applications in critical care settings. Analysis revealed 58 percent of participants having inadequate knowledge regarding AI applications in critical care, 32 percent moderate knowledge, and only 10 percent displayed a comprehensive understanding. Mean knowledge score was 14.3±3.8 out of 25 points. Significant associations were found between knowledge scores and demographic variables like education level (p<0.01) and previous AI training (p<0.001). Perception assessment demonstrated 65 percent of nurses held positive attitudes regarding potential benefits of AI in improving patient outcomes and efficiency, while 48 percent expressed concerns about reduced human touch in care, and 53 percent worried about job security. Staff nurses with higher knowledge scores generally demonstrated more positive perceptions towards AI integration (r=0.62, p<0.05). This study identifies significant gaps in knowledge and mixed perceptions regarding AI applications among critical care nurses, despite the growing AI prevalence in Indian healthcare settings. With 58 percent participants demonstrating inadequate knowledge in a region where AI implementation in critical care has reached 62 percent, there is an urgent need for structured educational interventions and training programmes to enhance nurses' understanding of AI technologies. Addressing the concerns of the 53 percent nurses worried about job security and the 48 percent concerned about reduced human touch could potentially improve acceptance and effective integration of AI technologies in critical care environments.