In recent years, advances in three areas—methods and algorithms for training AI models, computer hardware needed to train these models, and access to large volumes of cancer data such as imaging, genomics, and clinical data—have converged, leading to promising new applications of AI in cancer research. Implemented in an ethical and scientifically rigorous manner, these uses of AI have the potential to rapidly advance cancer research, ensure better understanding of mechanisms of cancer, improve cancer screening and diagnosis, drug discovery, cancer surveillance, access and health care delivery- and create better health outcomes for all