The demand for more effective and efficient methods to discover and create new therapeutic agents drives the ongoing evolution of the drug discovery and development industry. Artificial intelligence (AI) has become a potent tool in this field in recent years, transforming different phases of the drug discovery and development process. This chapter presents an application of AI in drug development and discovery, emphasizing its potential to accelerate the identification of novel drug candidates and enhance drug design. We go over the most important AI methods, including deep learning, and machine learning, as well as their uses in target identification. We also discuss the difficulties and restrictions that come with integrating AI into the pharmaceutical sector. The impact of AI on drug discovery and development, as well as its potential to completely disrupt how we find and deliver new treatments, are highlighted in the chapter's conclusion.