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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
Real Examples of AI-Run Lab Systems

Demonstration Versus Daily Operation

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Here is the part that gets lost in the headlines. A published closed-loop result usually means the system completed one bounded campaign, with researchers watching the runs, stepping in when something failed, and preparing what went in.
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A published closed-loop result usually means the system completed a bounded campaign under supervision, with researchers monitoring runs, handling failures, and preparing inputs. Routine autonomous operation would mean the same system running many cycles unattended, with reliability, reproducibility, and data quality holding up without intervention. The distance between the two is the real measure of autonomy, because a single successful campaign can hide failure modes that only appear over many repetitions.

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