I will explore how generative AI can improve biomedicine. I first show how generative models can augment human creativity by discussing a project discovering new antibiotics. We used a generative model to create structurally novel molecules for drug-resistant bacteria. A benefit of our approach is that the molecules are designed to be easy to synthesize, and we experimentally tested and validated our antibiotics. Then I will discuss how to use generative AI to uplevel cheap biomedical data into expensive and difficult-to-collect data. Finally, I will give an example of using generative model to design complex protocols with multiple tradeoffs–clinical trials.