The AI Trap: Why MSLs Can't Rely on Automation for KOLs

Will artificial intelligence replace Medical Science Liaisons—or help them become more effective?

In this episode of The Pharmaverse Podcast, host Michael Pietrack speaks with experienced Field Medical leader Annika Swenson about how MSLs and Medical Affairs teams can use AI responsibly, improve their performance and protect the human relationships at the heart of the profession.

Annika shares practical ways MSLs can move beyond basic administrative tasks and use AI to prepare for KOL conversations, identify inaccurate medical information, practice difficult discussions and build customized workflows. She also explains why every AI-generated answer must be challenged, sourced and evaluated through human critical thinking.

The conversation explores the risks surrounding hallucinations, outdated information, copyrighted materials and proprietary data. Annika also discusses how leaders can assess AI fluency when hiring, use AI to strengthen coaching and determine whether these tools are creating meaningful improvements—or simply adding more work.

Most importantly, Annika explains why AI may expand access to medical information but cannot replace the trust, rapport and nuanced conversations that MSLs build with KOLs over time.

In This Episode
How MSLs can begin using AI today
Why identifying AI inaccuracies can improve KOL preparation
Moving beyond email summaries and administrative tasks
How agentic AI can support customized MSL workflows
Measuring whether AI actually improves Field Medical performance
AI hallucinations, outdated sources and compliance risks
Protecting proprietary and copyrighted information
Whether virtual MSLs could replace human Field Medical teams
Using AI to practice coaching and difficult conversations
Evaluating AI fluency during the hiring process
Why human trust remains the greatest advantage of an MSL

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