Most "AI-generated training" is optimizing for the wrong metric
We all know the drill, AI can now generate a full training course in a few minutes. In a few years, it will probably even manage complex branching scenarios well.
But it begs the question, are we're tracking the wrong thing? Yes, a course exists now, or a quiz got completed. That feels like progress, and it's structured and efficient enough that it's easy to mistake for real progress. Except watching an AI-generated module, or passing its auto-graded quiz, doesn't actually prove anyone can do the job better under pressure. All we really did was swap a content metric for a capability metric and called it done.
The worrying part is how this compounds. If a company leans on AI to generate junior-level work and also leans on AI to generate the training that used to build junior people into senior ones, you can lose the pipeline without anyone deciding to. Three years later you're short on the people who were supposed to grow into the harder problems.
This is a conversation we've been having internally. Has anyone actually measured this at their org? Not "did people complete the AI-generated course" but whether people who went through AI-generated training perform differently on the job than people who didn't?