Most organisations now accept that AI training is necessary.What far fewer are clear on is how to tell whether that training actually worked. Completion rates are high, internal feedback is positive and there is a perception that collective confidence has gone up.And yet, weeks later, decision quality looks unchanged. That gap is not accidental. It is structural. Why AI competence is so hard to measure There is no globally recognised scale for AI competence, and that is not a

Employee training hasn’t failed because of AI. It’s failed because AI has exposed how fragile most training models already were. For years, employee training has followed a familiar pattern: Set a company-wide goal Design learning for all roles and functions Prioritise virtual delivery for scale Motivate participation through campaigns and incentives Brief managers so they can support the rollout Encourage employees to apply learning through projects In principle, this sounds