A manager approves a budget forecast generated by software, reviews a candidate shortlist filtered by an algorithm, and receives a customer insight report produced in seconds by an AI tool. None of that is unusual anymore. The real question is when should managers learn AI so they can judge outputs responsibly, lead change confidently, and make better decisions under pressure. For most managers, the answer is not after a company-wide rollout, a missed target, or a difficult conversation about automation. It is before AI becomes embedded in everyday decisions. Waiting until AI is already shaping hiring, planning, operations, or customer communication creates a familiar problem: the tools move faster than leadership capability. When should managers learn AI in practical terms? Managers should start learning AI at the point where it begins to affect decisions, workflows, or team expectations. In many organizations, that point has already arrived. AI is no longer limited to technical teams...