Learning from the successes and failures of early artificial intelligence (AI) adoption for drug discovery in Big BioPharma

The first decade of AI adoption in Big BioPharma has been characterized by genuine breakthroughs and sobering realities. While AI has delivered notable accelerations in hit identification and early-stage design, it has yet to fundamentally alter the success rates of late-stage clinical trials. The industry has learned that AI is neither a silver bullet nor a passing fad, though a critical and evolving component of modern R&D. By consolidating lessons from early adoption, the next decade may see AI truly shift the innovation frontier in global pharmaceutical discovery.

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Publication Details

Journal
Expert Opinion on Drug Discovery
Published
2026-01-30
DOI
https://doi.org/10.1080/17460441.2026.2624023
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Learning from the successes and failures of early artificial intelligence (AI) adoption for drug discovery in Big BioPharma

Martin Braddock, Krzysztof Jeziorski
Expert Opinion on Drug Discovery
Computational Drug Discovery Methods
article

Learning from the successes and failures of early artificial intelligence (AI) adoption for drug discovery in Big BioPharma

Martin Braddock, Krzysztof Jeziorski
article en

Abstract

The first decade of AI adoption in Big BioPharma has been characterized by genuine breakthroughs and sobering realities. While AI has delivered notable accelerations in hit identification and early-stage design, it has yet to fundamentally alter the success rates of late-stage clinical trials. The industry has learned that AI is neither a silver bullet nor a passing fad, though a critical and evolving component of modern R&D. By consolidating lessons from early adoption, the next decade may see AI truly shift the innovation frontier in global pharmaceutical discovery.

Expert Opinion on Drug DiscoveryVol. 21(3)
Multiconsult (Norway) (NO), University of Information Technology and Management in Rzeszow (PL), National Institute of Geriatrics, Rheumatology and Rehabilitation (PL)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Computational Drug Discovery Methods
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