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As life sciences organizations implement AI across functions, it’s imperative to design a new workforce paradigm so humans and AI can work together at scale.
Hiring alone won’t power this transition. The global scarcity of AI talent remains one of the biggest challenges to scaling AI. But successful scalers are moving to close this talent gap. They lead in future-back strategic workforce planning, with 80% communicating a clear vision for how roles, skills, and hybrid teams will evolve with AI, compared with 7% of early explorers.
Their execution is still catching up: Only 20% of scalers have translated their vision into enterprise decisions, underscoring that strategic workforce planning remains early across the industry.
That said, successful scalers are already strategically preparing existing talent for AI integration—key for developing organizational capabilities. More than half of successful scalers have upskilled their existing employees, hired new AI talent, or shifted talent across functions, compared with 20% or fewer of early AI explorers across the same categories.
In Life Sciences, AI Moves Fast, but Only When Leaders Do
Why do some companies struggle to successfully scale AI? A lack of leadership buy-in.
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First published in Februar 2026