AI Adoption Surges in Life Sciences Manufacturing as Talent, Risk, and Quality Pressures Intensify

Core Insights - The report highlights a significant surge in AI adoption among life sciences manufacturers, driven by pressures related to talent, risk, and quality amidst economic uncertainty [2][4] - A notable 95% of life sciences manufacturers are either using or evaluating smart technology, indicating a strong focus on smart manufacturing [3][7] - The report emphasizes a shift towards long-term digital investments aimed at enhancing operational resilience and capacity [4][7] Industry Trends - Life sciences manufacturers are increasingly leveraging AI to improve product quality (53%), streamline operations (50%), and enhance cybersecurity (48%) [7] - The challenge of hiring skilled workers remains prevalent, with 26% of leaders identifying it as the biggest barrier to growth in 2025 [7] - Nearly half of the manufacturers are utilizing AI (48%) and automation (46%) to address workforce gaps [7] Investment Focus - Leaders in the industry are prioritizing investments that drive growth (66%), expand capacity (62%), and protect operations (50%) [7] - Emerging technologies are gaining traction, with 36% of manufacturers planning to invest in generative or causal AI, and 35% exploring digital twins and simulation tools [7] - Despite collecting large volumes of data, only 46% of manufacturers report using it effectively, highlighting the need for improved data utilization [5]