What AI means for commercial L&D performance
Leadership expects AI to deliver business results, but commercial learning and development teams face gaps in readiness.
This research, conducted by TGaS Advisors, draws on responses from 45 learning leaders representing 44 life sciences organizations.
Among respondents, 96% report leadership expectations for AI results. Yet, only 33% report a documented AI strategy for commercial L&D.
Use this advisory brief if you are
- Selecting AI use cases for commercial learning and development.
- Defining success measures tied to field performance or new-hire productivity.
- Building team capability within existing budgets.
About this advisory brief
The brief defines high-performing commercial L&D through alignment, execution, efficiency, and integration.
It prioritizes commercial performance over internal productivity alone.
It explains why AI skills need support from learning science, instructional design, data literacy, and change management.
What you will learn
- Assess learning measures and identify data gaps before selecting AI use cases.
- Compare coaching, simulations, and content generation by business value and implementation effort.
- Build team capability through governance, AI literacy, practice, and evaluation of AI-generated content for accuracy and compliance.
Complete the form to download the full advisory brief.
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