Your next capability gap could be hiding inside your team’s best-looking work.
Imagine a junior analyst who uses AI to produce a market assessment in two hours. The analysis is thorough, the presentation is polished, and the manager is impressed.
Then someone challenges a key assumption.
Can the analyst explain it? Recognize an unreliable source? Revise the recommendation when the circumstances change?
The finished document cannot answer those questions.
For L&D leaders, this creates a development problem worth examining: we may be automating the work through which people learn to exercise judgment, while expecting them to take on greater responsibility.
Meanwhile, job descriptions, manager expectations and performance measures may remain unchanged.
I call this the Capability-Institution Gap: the mismatch between what people can now attempt with AI and what the organization is designed to support.
My new report examines what that means for L&D, with practical tools to help you:
• Identify where the constraint sits in the work, management, development or governance.
• Decide what employees must still understand and demonstrate when AI handles more execution.
• Run a 90-day pilot that measures performance, human judgment and realized value.
It includes workplace scenarios, a diagnostic, a pilot scorecard and a one-page leadership worksheet.
Before committing to another AI training initiative, take one workflow through the diagnostic. You may find that the most useful intervention sits somewhere else.
