
Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Associate Director, IT Applications
Hikma

Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Pharma's 2026 predictions revisited: AI tools have arrived, but organizational readiness, data governance, and regulatory gaps now limit real-world impact.

Pharma manufacturing and development experts reassess their 2026 predictions for the industry and look ahead to the second half of the year.

Six months in, pharma manufacturing and development experts reassess their 2026 outlooks and predict what comes next.

Manish Garg takes a midyear look back at his 2026 predictions: AI's shift from speed to strategy, supply chain resilience, and why NDC-12 is the next DSCSA moment.

Pharmaceutical serialization must evolve from regulatory compliance into operational intelligence, addressing hidden failures like exception overload, certificate expiry, and 3PL complexity.

A framework for 2026 that moves beyond manual AI onboarding toward "zero-lag" integration for pharmaceutical manufacturing.