@pascal_bornet: If AI makes every decision better, will humans forget how to decide? The obvious concern about AI decision-making is th…

If AI makes every decision better, will humans forget how to decide? The obvious concern about AI decision-making is that it might be wrong. I'm beginning to think the more interesting problem appears when it's right. Imagine AI recommends the correct decision 99 times in a row. Each time, you accept it because the evidence is stronger, the analysis is deeper, and the outcome is better than the one you might have reached yourself. By decision 100, something subtle has changed. Not necessarily the AI. You. Judgment isn't something we simply possess. We develop it by making decisions under uncertainty, getting some wrong, living with the consequences, and slowly learning which signals matter when the answer isn't obvious. If AI removes that experience, it may improve today's decisions while weakening tomorrow's decision-maker. This connects to something I explore in The Human-Agent Orchestrator as Mastery Vacuum. When execution migrates to agents, people can lose not only tasks, but the experiences through which expertise was built. And that creates a paradox I think leaders need to take seriously. The better AI becomes at deciding, the more deliberately we may need to design opportunities for humans to practice judgment. That could mean asking people to form an opinion before seeing the AI recommendation, keeping humans close to genuinely ambiguous cases, and rewarding thoughtful disagreement rather than automatic approval. Human-in-the-loop should not become human-clicks-approve. If AI eventually makes better decisions than we do, should we still preserve some decisions for humans because making them is how we learn to judge? #HumanAgentOrchestrator #MasteryVacuum #HumanJudgment #HybridManagement #AIReadiness