2026 Annual Research
2026 Biotech AI Report
Breakthroughs, bottlenecks, and the power shift shaping biotech's AI future
We surveyed 100 biotech and biopharma organizations on how they're using AI in R&D — which workflows are delivering results, what's holding teams back, and how industry leaders are reorganizing for an AI-enabled future.
Key findings
What we learned from 100 biotech and biopharma organizations
87%
of biotech leaders say AI is critical to their R&D strategy in 2026
3x
faster discovery timelines for organizations with mature AI programs
62%
of companies report AI-driven cost reductions in experimental workflows
40%
increase in successful IND filings at companies using AI-powered platforms
What's inside
01
The state of AI in biotech R&D
Where organizations stand today — from early adopters to AI-mature leaders.
02
Workflows delivering the most value
Which AI use cases are driving real results across discovery and development.
03
Barriers to AI adoption
The data, talent, and organizational challenges holding teams back.
04
The road to AI-enabled R&D
How industry leaders are structuring their teams and platforms for an AI-first future.
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