A practical framework for deciding when to use AI in L&D workflows
By
Dr Philippa Hardman
Slow-proofed and worth the wait. Worth its weight in flour.
Summary
The article addresses the confusion L&D teams face regarding AI adoption, caught between executive pressure to use AI everywhere and compliance teams wanting to avoid it entirely. It maps approximately 300 tasks in L&D projects against AI's capabilities and limitations, offering a framework to decide when to delegate, collaborate with, or own tasks. The piece cites statistics showing 95% of generative-AI pilots fail to scale and 74% of companies haven't seen tangible AI value, providing practical guidance for L&D professionals navigating AI integration.
Key quotes
· 3 pulledMy team keeps getting told contradictory things about AI. Our CEO wants us to use it for everything. Our compliance team wants us to use it for nothing. We need a way to decide. Can you help?
Widely reported estimates suggest that around 95% of generative-AI pilots fail to reach successful scaling (Fortune, 2025).
BCG reports that 74% of companies had yet to see tangible value from their AI investments.
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