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.
Can AI Run a Drug Discovery Lab on Its Own?
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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