The article explains how artificial intelligence is transforming literature review in Medical Affairs from a manual, time-intensive activity into a faster, intelligence-driven process. As scientific publications, conference abstracts, and real-world evidence continue to expand, AI technologies such as natural language processing and machine learning enable continuous evidence monitoring, automated categorization, and rapid summarization of relevant research. By helping teams identify emerging trends, prioritize high-impact evidence, and detect important scientific signals, AI allows Medical Affairs professionals to focus more on interpretation, strategic planning, and evidence-based decision-making. While AI improves efficiency and scalability, human oversight remains essential to validate sources, assess context, and ensure scientific accuracy and integrity. Ultimately, AI-supported literature review enhances the ability of Medical Affairs teams to generate meaningful insights and respond proactively to an increasingly complex scientific landscape.