
A survey reveals 72% of pharmaceutical companies are scaling or have fully scaled AI in R&D, yet only 24% expect significant improvement in drug success probability, with many citing human biology and execution as persistent bottlenecks.
AI-generated summary
The survey reflects ongoing industry efforts to integrate artificial intelligence into drug discovery and development processes, aiming to accelerate timelines and reduce costs.
“It’s only through that translation that companies can turn AI-driven speed into profit, and patients into real beneficiaries,” Yung added.
Some 72 per cent of respondents said their companies were either “scaling” or had “fully scaled” AI across research and development, and no company reported having no plans to adopt the technology, the survey found.
Yet that enthusiasm comes with a caveat. Only 24 per cent of respondents expect AI to deliver a significant improvement in drug success probability, while 56 per cent expect only a moderate uplift, “not a wholesale revolution,” according to the survey.
Another 34 per cent said human biology, clinical judgment and execution will remain as bottlenecks, regardless of how much AI is deployed.

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