King’s College London and Roche Turn Agentic R&D Into Governed Operating Models
Autonomous R&D is moving from demos to governed, human-supervised operating models that can scale across labs and portfolios.
What is this trend?
King’s College London and Roche are showing how autonomous, AI-driven R&D can move from experiments to governed operating models that run experiments, learn from results, and stay under human control.
- Autonomous labs are shifting from pilots to operating practice in academia and enterprise.
- AI, robotics, sensors, and lab automation are being linked into closed-loop experiment cycles.
- Governance is now the differentiator: scope, safeguards, exceptions, and validation.
- Roche’s scale signals agentic R&D will influence portfolio decisions, not just lab tasks.
- Skills in provenance, IP protection, and bounded agent operation are rising in value.
What’s the latest?
King’s College London moved autonomous R&D into operating practice this week with “Autonomous Labs,” a cross-university pilot that combines AI, robotics, sensors, and lab automation to run experiments
How it developed
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