The pharmaceutical industry is increasingly adopting artificial intelligence (AI) to enhance demand forecasting in drug supply chains. Accurate demand forecasting is critical for ensuring the availability of essential medications, minimizing waste, and optimizing inventory management. This article explores the application of AI-driven demand forecasting in drug supply chains, detailing the methodologies, technologies, and algorithms involved. We discuss the benefits, challenges, and future directions of AI in this domain, supported by a comprehensive review of existing literature and case studies. The article concludes with recommendations for implementing AI-driven demand forecasting systems in pharmaceutical supply chains.