
Richard Jaenisch, Open Biopharma breaks down AI's real limits in drug discovery, agent security risks, and what workforce readiness looks like by 2028.

Senior Director
Education, Outreach, and Digital Experience
Open Biopharma Research and Training Institute

Richard Jaenisch, Open Biopharma breaks down AI's real limits in drug discovery, agent security risks, and what workforce readiness looks like by 2028.

In this episode, we discuss AI drug discovery hype, agent security risks, and why pharma's AI workforce bets remain unproven.

Richard Jaenisch surveys pharma's biggest recent AI deals with Chris Cole in part one of a two-part breakdown of the major moves.

In this episode of Drug Digest, experts from Sanofi, GxP Frame, and Open Biopharma explain how AI is transforming drug discovery, manufacturing, and workforce strategy and how strategic partnerships play a role.

CAI's Jon Thompson explains how digital twins cut cleanroom rework by up to 50% and pressure excursion investigation time by up to 70%.

CAI's Jon Thompson details how digital twins cut cleanroom commissioning time by up to 30% and accelerate GMP deviation investigations.

Mihaela Simianu and Austin Caudle join the show to discuss how digital container twins can improve pharma manufacturing, validation, and risk reduction.


In this episode of Manufacturing Intelligence, we break down digital twin use in pharma, from risk reduction and scale-up modeling to AI integration and virtual inspections.

In this clip from episode 1 of Manufacturing Intelligence, Richard Jaenisch of Open Biopharma discusses uses of AI for deviations and investigations in pharma.

In this clip from episode 1 of Manufacturing Intelligence, Richard Jaenisch of Open Biopharma discusses step 1 in adopting AI in pharma manufacturing.

Richard Jaenisch and Christopher Cole discuss AI in pharma manufacturing, covering learning steps, output evaluation, hallucinations, and FDA/EMA guiding principles.

Richard Jaenisch explains how digitally interactive SOPs and Human-AI Training Parallelization help build, measure, and continuously improve AI-era workforce skills.

In regard to their presentations at PDA Week 2026, Richard Jaenisch and David Jaenisch discuss balancing AI integration with human expertise, compliance, and IP protection.

August 11th 2026