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Can AI Run a Drug Discovery Lab on Its Own?

1What It Would Mean for AI to Run a Lab2The Drug Discovery Pipeline in Plain Terms3Where AI Already Helps Today4Closing the Loop: Self-Driving Labs5Real Examples of AI-Run Lab Systems6Where Autonomy Breaks Down7What Still Needs a Human
What Still Needs a Human

How Far Autonomy Actually Goes

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So put it all on one scale, from a fully manual lab at one end to a fully independent one at the other. Where does the marker actually land?
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The honest verdict sits in the middle of the spectrum. Inside a narrow, well-specified loop — a defined target, a defined assay, a bounded campaign — AI can run the cycle with very little human involvement, and that is real autonomy. But running an entire drug discovery lab on its own means owning the framing, the ambiguous calls, and the accountability too, and those stay human. The answer is not yes or no; it is strong autonomy in bounded loops, with humans at the points where judgment and responsibility live.

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