Cancer remains a formidable foe, claiming millions of lives globally each year. However, a new wave of innovation is emerging on the horizon, wielding the power of artificial intelligence (AI). This narrative review delves into the burgeoning field of AI in oncology, exploring its transformative potential in detecting, treating, and even curing cancer. Artificial intelligence is increasingly being used in oncology, particularly in cancer diagnostics and computer vision. Applications are being developed across the cancer continuum and multidisciplinary practice. However, ethical and legal considerations limit their widespread application and reproducibility, including inherent bias when trained with underrepresented data sets. Barriers to widespread adoption include ideological and workflow concerns, limited prospective validation studies, and ideological and workflow concerns. The future of precision oncology may see the use of living databases of multimodal data types improving clinical models. Continuous or semicontinuous algorithm training is essential for achieving new degrees of medical personalization in the future. This technology may extend life and enable more cures in hyper individualized cancer screening and prevention strategies, systemic cancer therapeutics and radiation, restaging and surveillance testing, and diagnostic and treatment interventions.