Pharma 5.0

Five ways AI will rewrite drug discovery and development by 2026

By Kevin Robinson | Published: 25-Nov-2025

Life sciences strategist Chris McSpiritt outlines how autonomous labs, digital toxicology and regulated AI copilots will redefine R&D efficiency and compliance by 2026

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As the pharmaceutical sector races to compress timelines and reduce risk, artificial intelligence is rapidly moving from experimental add-on to core infrastructure.

Dr Kev Robinson sat down with Chris McSpiritt (pictured), Vice President of Life Sciences Strategy at Domino Data Lab, to discuss the shifts he believes will define the industry by the end of 2026 — from autonomous design–make–test–analyse (DMTA) loops to AI-driven regulatory expectations.


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