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How AI is driving R&D productivity

September 2, 2025
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McKinsey

Innovation has been the driver of the extraordinary progress from which humankind has benefited for a couple of centuries, but it faces a largely hidden threat: Innovation is becoming harder and more expensive.

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How AI is driving R&D productivity 

Alex Singla, Alexander Sukharevsky, Elia Berteletti, Lareina Yee, and Michael Chui

representing views from QuantumBlack, AI by McKinsey, and McKinsey’s Operations Practice.

DOI: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-next-innovation-revolution-powered-by-ai

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High-throughput solid microsampling through stochastic robotic automation

Solid sampling at the sub-milligram and milligram scale remains a major bottleneck for high-throughput chemistry or material sciences, as existing approaches rely on manual handling or slow deterministic microsampling that do not readily scale.

Here we present STORMS, an automated STOchastic Robotic MicroSampling system that enables fast, reliable and parallel sampling of solid materials at sub-milligram and milligram masses. 

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