Artificial intelligence (AI) is becoming embedded into the fabric of quality, compliance and production systems, as well as shaping how teams interact with software, how processes are managed and how work is delivered.
The era of experimentation is giving way to one of enterprise integration, in which scale, safety and alignment with regulation matter more than novelty.
Four shifts in particular stand out as likely to define how life science technology evolves in 2026.
Greater adoption of AI and agentic processes
In the coming year, life science organisations will demand more from AI. It will no longer be sufficient for systems to respond; users will expect them to act.
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