Why HR doesn’t have an AI tools problem, it has a judgement problem it cannot yet see. In a recent session with a Global Leadership team, I opened with a simple line: HR does not have an AI tools problem. HR has a capability visibility problem. The room went quiet, and not because it was controversial, but because it was uncomfortably accurate. Across enterprise and scaling People functions, AI adoption is now measurable. Dashboards exist, licences are activated, prompts are

Most organisations are having the same conversation about AI, just with different tools on the agenda. Which platform should we roll out? Which workflows should we automate? Which teams need training first? Those questions are not wrong, they are just incomplete. The harder question, and the one most People Leaders are quietly avoiding, is this: What human capabilities need to be strengthened so people can work with AI without surrendering judgement to it? That is where br

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

Across multiple leadership and workforce studies, critical thinking consistently shows up as the skill that separates leaders who can use AI well from those who inadvertently outsource their judgement to it. In other words, AI isn’t replacing thinking - it’s exposing where it was weak all along. Combine this with most organisations rushing to build AI literacy without building critical literacy of AI – and we’re starting to surface a real problem. AI is exposing a thinking g

For years, organisations have treated change as something with a beginning, a middle, and an end. You’ve been there - a transformation programme is launched, a roadmap is created, people are trained, and eventually, the organisation is declared “ there ”. That mental model is now obsolete. Not because leaders are failing to manage change properly, but because the conditions that made episodic change viable no longer exist. AI has simply exposed what was already true: volatili

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