Artificial Intelligence (AI) is rapidly transforming healthcare, including the field of hospital pharmacy, by enhancing the accuracy, efficiency, and safety of pharmaceutical services. This review explores the diverse applications of AI in hospital pharmacy, highlighting its potential to revolutionize drug management, clinical decision support, and patient safety. AI-driven tools and algorithms are being utilized to optimize medication dispensing, improve inventory management, and reduce human errors in prescription processes. Machine learning models and predictive analytics facilitate personalized medicine by enabling pharmacists to predict patient responses to drugs and monitor adverse drug reactions effectively. Furthermore, natural language processing (NLP) assists in extracting valuable insights from clinical data, supporting evidence-based practices. Despite these advancements, challenges remain, including data privacy, integration with existing healthcare systems, and the need for specialized training for pharmacists. This review synthesizes current evidence on AI applications in hospital pharmacy, discusses key technological and ethical considerations, and outlines future directions for AI integration to improve patient outcomes and operational efficiency in hospital pharmacy settings.