Embracing innovative strategies will help navigate the complexities of AI in drug development, paving the way for more effective therapies and a transformative impact on healthcare. Computer science and biology fusion have created excitement, offering groundbreaking potential for drug discovery and development through the power of large datasets and machine learning. However, despite substantial investments and enthusiasm, many early drug programs leveraging these technologies have encountered significant challenges. Identifying these key obstacles and implementing effective strategies to overcome them is crucial.