AI in Biopharma Manufacturing: Why Build-or-Buy Is the Wrong First Question

“AI is marketed as such an approachable, ubiquitous thing that everybody thinks they can vibe code it. Unfortunately, a lot of companies are starting to think that way,” says Kat Kozyrytska.Kat Kozyrytska is a portfolio strategy and technology leader in life science technologies who has operated across organizations, including Sartorius and Thermo Fisher, and now advises across the life sciences ecosystem. Her work focuses on translating emerging technologies, including AI, automation, and digital capabilities, into portfolio strategy, partnerships, and business growth.Ahead of CDMO Live Americas, Kat explains why many of the assumptions shaping AI adoption in drug discovery do not translate into biopharma manufacturing. She covers the evolving questions around intellectual property and learning rights, why building AI in-house may be the wrong long-term choice for many companies, and why manufacturers need to move from experimentation toward portfolio-level prioritization if AI is to deliver sustainable business value.Read the full article