Darı́o Gil, Kathryn A. Moler
By successfully integrating artificial intelligence (AI) into research workflows, researchers could substantially increase scientific productivity. Last week's announcement from the White House of the US Genesis Mission sparks a critical conversation about how to realize this potential. That discussion should center on two parallel efforts-creating the integrated infrastructure, from data and algorithms to hardware and agentic control, needed to apply AI to speed up research; and determining the policies and resources that empower scientists to fuel the feedback loop of scientific advancement and AI innovation.