We explore how AI agents like Google's Co-Scientist move beyond scraping papers to actively reasoning, planning, and validating ideas. From extended-step reasoning to scaffolding that gives AI short-term memory and tool access, and from codified lab know-how to portable digital skills, these agents can generate breakthrough hypotheses in days—often after a decade of human toil. Yet validation remains bottlenecked by the physical world; automated robotic labs and public-private partnerships like Genesis are accelerating this work, enabling scientists to act as high-level orchestrators. We discuss implications for democratizing science and the future of research workflows.
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