After more than 30 years in the pharmaceutical industry, spanning roles from laboratory technician to Qualified Person, this story offers a candid and deeply human perspective on the rise of AI in quality functions.
Initially skeptical, the concern was clear: could AI erode the very foundation of quality—experience, intuition, and professional judgment? As automation and AI take on tasks like deviation writing, trend analysis, and regulatory interpretation, a critical question emerges: if systems always provide the answers, when do people truly learn the “why”?
This video explores the evolution from skepticism to cautious acceptance. It highlights how quality judgment is not built in a single role, but developed over time through exposure, mistakes, and understanding how decisions ripple across the product lifecycle and ultimately impact patients.
Through a powerful real-world example—being asked whether it is ever acceptable to put your head inside a RABS unit during aseptic operations—the discussion reveals the difference between instinctive human judgment and AI-generated responses. While AI can provide structured, regulation-based answers, it cannot replicate the instinct that signals when something is fundamentally wrong.
Key themes explored in this video:
- The erosion of “first principles” learning in an increasingly automated world
- The role of instinct and emotional signals in quality decision-making
- AI as a support tool—not a replacement—for professional judgment
- The risks of over-reliance on AI, especially for less experienced professionals
- Practical ways to integrate AI responsibly while preserving learning and critical thinking
AI is here to stay. The challenge is not whether to use it, but how to use it responsibly—ensuring that speed does not come at the expense of sound judgment. The future of quality depends on blending human expertise with technological capability, not replacing one with the other.
