There is growing consensus that AI is eroding the experience pathways organizations depend on to develop human judgment. Entry-level roles are shrinking, hands-on work is being automated, and fewer people are building the experience their businesses need. This is a well-documented challenge. What remains far less clear is what the talent strategy response should look like. Most skills systems today are built to track whether someone can execute a task, not how well they make decisions under ambiguity. If judgment is becoming the most important capability in the organization, recruiting, learning, and assessment all need recalibrating around it.
So what does that recalibration look like in practice?
My guest this week is Craig Friedman, author of Enterprise Skills Unlocked and Talent Transformation Leader at St. Charles Consulting Group. In our conversation, he explains why current skills infrastructure misses the capability that matters most, what work looks like when execution is automated, and how organizations can start building judgment into their talent strategy.
In the interview, we discuss:
What does enterprise AI adoption currently look like
The long-term consequences of cutting entry-level jobs
What does work look like when the automatable tasks are taken away?
Why judgment is more important as a skill than ever before
The difference between judgment and critical thinking
Where does judgment fit into the skills infrastructure?
How can TA teams hire for judgment?
What does the future look like?
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