AI Insights Sunday, October 11, 2026 — Article
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Leadership development for AI change: assess, practise and review

Leaders need practical AI judgment, not only awareness. Development should connect assessment, guided practice and evidence from real decisions.

May 21, 2026 2 min read By ADMIN
Leadership Development in the AI Era: Assessments, Coaching, and Competency Transformation — conceptual editorial photograph

AI changes how work is designed, checked and explained. Leaders need to ask better questions, protect people and make clear decisions when evidence is incomplete.

A briefing can build awareness. It rarely changes behaviour on its own.

Assess the real starting point

Use work examples. Ask leaders to review a proposed AI use, identify affected people, question the evidence and choose a control. This shows more than a confidence score.

Build practical AI and leadership skills. Join the AI Excellence Hub for short, work-focused courses. Already a member? Log in.

Practise three leadership skills

First, frame the problem before discussing a tool. Second, ask for evidence about quality, cost, risk and alternatives. Third, explain the decision in plain language to staff and customers.

Coaching should use live decisions where possible. Keep private personnel information separate from general learning records.

Review behaviour at work

After six to twelve weeks, look for observable change. Are leaders asking for baselines? Are they recording decisions? Do teams know when to challenge an AI result?

Use the evidence to choose what each leader should continue, revise or practise next. Do not treat course completion as proof of competence.

Your next step

Give one leadership team a short AI decision case and assess the questions they ask, the evidence they request and the action they choose. Join the AI Excellence Hub, or log in.

Sources and further reading

Written by Admin
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