A narrative review examines how generative AI tools such as large language models and vision-language models could assist precision oncology by interpreting genomic data, matching patients to clinical trials, and synthesizing complex clinical information. The authors emphasize governance, human oversight, and retrieval-based safeguards to ensure these systems are deployed safely in cancer care.