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Afterthoughts on our AI Anxiety webinar


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Generative AI can strengthen a workflow in one part of an organization and quickly expose risk in another. For L&D leaders, the challenge is no longer whether AI will affect the portfolio. It is how to evaluate current offerings clearly enough to decide what to preserve, what to adapt, and what to redesign.


That was the focus of our recent CCCE session with Andrew Barrett. Using ScaleLearning’s CATS AI Strategic Framework, Andrew invited participants to examine programs through a more strategic lens: where to Capitalize, Assess, Transform, or Shift as AI changes the landscape of learning and work.


A strong takeaway from the session was that L&D does not need to respond to AI with panic. It can respond with structure. When teams step back, assess both automation potential and future viability, and ask better questions about their offerings, they are better positioned to support upskilling and reskilling while strengthening their relevance to the business.


The discussion also reinforced an important shift for our profession. In an AI-shaped environment, L&D’s role is not simply to produce learning faster. It is to act as a strategic partner: reading the landscape, identifying risk and opportunity, and helping organizations make smarter decisions about where to invest time, energy, and capability-building effort.


For those who would like to continue exploring the themes raised in the session, here are a few additional resources across reading, listening, and viewing:

Reading

  • The Future of Jobs Report 2025 (World Economic Forum) — useful context on how employers expect jobs, skills, and workforce transformation strategies to evolve through 2030.

  • Bridging the AI Skills Gap: Is Training Keeping Up? (OECD) — a concise brief on rising demand for AI skills, the need for broader AI literacy, and why current training supply may not yet be enough.

Listening

  • The Business of Learning, Ep. 82: AI Skills for Learning Leaders (Training Industry) — focuses on the capabilities learning leaders need in an AI-driven environment and how to build them.

  • The Right Tool for the Job: Adapting Generative AI for L&D With Ross Stevenson (360Learning / The Learning & Development Podcast) — explores practical L&D use cases, including AI as a research partner, thought partner, and support for learning in the flow of work.

Viewing

  • AI’s Productivity Paradox — and What It Means for You (TED, Ethan Mollick) — a strong watch on how AI is changing productivity and the nature of work, not just automating isolated tasks.

  • Reskilling Revolution: The Role of AI in Education 4.0 (World Economic Forum) — explores how AI is reshaping education, reskilling, and lifelong learning in the digital age.







 
 
 

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