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    Interactive assessment

    AI Change Leadership Readiness

    Assess your readiness to lead teams and organisations through AI adoption, across growth mindset, adaptive capability, AI curiosity and ethical leadership.

    Most AI transformations fail not because of technical limitations but because of leadership gaps. This diagnostic helps leaders understand whether their mindset, capabilities and approach are configured to guide their teams effectively through AI-driven change, or whether there are critical gaps that will limit adoption success.

    Questions or items
    20 questions or items
    Completion time
    Around 10 minutes
    Dimensions
    AI Growth Mindset, Adaptive Leadership Capability, AI Curiosity & Learning Drive, Trust, Ethics & Human-Centred Leadership
    What you receive
    Personalised results with result bands, section scores and development guidance.

    What it covers

    • AI Growth Mindset
    • Adaptive Leadership Capability
    • AI Curiosity & Learning Drive
    • Trust, Ethics & Human-Centred Leadership

    Rate each statement from 1 (Strongly Disagree) to 5 (Strongly Agree) based on how you actually behave as a leader, not how you intend to behave. Think of recent, specific examples as you respond.

    Results: Personalised results with result bands, section scores and development guidance.

    How this interactive diagnostic works

    Read what it covers here first. Nothing is saved or sent until you continue. Your result is calculated once every required item is answered.

    If it asks for your first name and work email, you enter them in the diagnostic itself. This page sends nothing.

    Statements in this diagnostic

    Statements are grouped by section. Answer each one for the situation named in the instructions, using the scale shown.

    AI Growth Mindset

    Leaders who approach AI with a growth mindset, curious, open and willing to learn publicly, create the psychological conditions for successful adoption.

    1. I openly share what I don't know about AI with my team, I don't pretend to have more expertise than I do
    2. I approach AI tools with genuine curiosity rather than scepticism or anxiety
    3. When AI experiments in my team fail, I treat them as learning opportunities rather than mistakes
    4. I actively experiment with AI tools myself, not just delegate AI adoption to others
    5. I believe that AI is going to require me to develop significantly, and I find that energising rather than threatening

    Adaptive Leadership Capability

    AI adoption requires adaptive leadership, the ability to navigate ambiguity, adjust approaches quickly and bring people through uncertainty.

    1. I can maintain a clear and credible direction for my team even when I don't have all the answers about AI's impact
    2. I adjust my leadership approach based on what I learn, I don't persist with a plan when the evidence says it isn't working
    3. I manage my team's anxiety about AI effectively, I acknowledge it rather than dismissing or amplifying it
    4. I am comfortable with ambiguity and can operate effectively when the right path forward is not yet clear
    5. I create regular opportunities for my team to share concerns about AI-driven change without fear of judgment

    AI Curiosity & Learning Drive

    Leaders who are actively learning about AI, its capabilities, limitations and implications, are better positioned to guide their teams through adoption.

    1. I stay informed about AI developments relevant to my industry, not just general news
    2. I have a specific view on which parts of my team's work AI will change most in the next 2 to 3 years
    3. I regularly discuss AI's implications with my team, it is not a topic I avoid or defer
    4. I have identified concrete ways AI could make my team more effective and am actively testing them
    5. I seek out people who know more than me about AI, both inside and outside my organisation

    Trust, Ethics & Human-Centred Leadership

    The most effective AI leaders keep human wellbeing and ethical considerations central, they don't allow efficiency gains to override the human dimension of work.

    1. I am explicit with my team about the ethical boundaries around how we use AI in our work
    2. I actively consider the impact of AI adoption decisions on individual team members, not just on productivity metrics
    3. I am honest with my team when AI-driven changes will affect their roles, I don't obscure or minimise this
    4. I ensure AI is used to augment my team's work, not simply to reduce headcount or monitor performance
    5. I maintain trust with my team through AI transition by being transparent, consistent and human-centred in my approach

    How the result is read

    Your answers are totalled for each section and overall. Each total falls into one of the bands below.

    • Not Ready, 20 to 44: Significant gaps in AI change leadership readiness. Your team's AI adoption is likely to be slow and anxiety-driven without intervention. Start with AI Growth Mindset, begin experimenting visibly with AI tools and sharing your learning journey openly with your team. This single behaviour shift has outsized impact.
    • Partially Ready, 45 to 64: Some readiness but clear gaps that will limit adoption quality. Look at your lowest section. Most partially-ready leaders are strong on intent but weak on consistent behaviour, particularly around Trust & Ethics, where words are not enough.
    • Ready, 65 to 82: A ready AI change leader. You have the mindset, adaptive capability and curiosity to guide your team effectively. Focus on your lowest section and ensure you are translating readiness into specific, visible actions your team can see and trust.
    • Leading Edge, 83 to 100: Leading-edge AI change leadership. You are in a small minority of leaders who are genuinely equipped to guide teams through AI adoption effectively. Your greatest contribution now is developing this capability in others, coaching peers and direct reports to build the same readiness.

    Sources named in this diagnostic

    • World Economic Forum (2025) Future of Jobs Report 2025. Geneva: WEF.
    • Heifetz, R.A., Grashow, A. and Linsky, M. (2009) The Practice of Adaptive Leadership. Boston: Harvard Business Press.
    • McKinsey & Company (2025) Superagency in the Workplace: Empowering People to Unlock AI's Full Potential. McKinsey Global Institute.

    Where to take the next step

    We help leadership teams build the human capabilities that make AI adoption succeed, from strategy to frontline behaviour change.

    Explore AI Leadership Readiness

    Frequently asked questions

    What does the AI Change Leadership Readiness measure?

    Most AI transformations fail not because of technical limitations but because of leadership gaps. This diagnostic helps leaders understand whether their mindset, capabilities and approach are configured to guide their teams effectively through AI-driven change, or whether there are critical gaps that will limit adoption success.

    How many questions are in the AI Change Leadership Readiness?

    It contains 20 questions grouped into 4 dimensions: AI Growth Mindset, Adaptive Leadership Capability, AI Curiosity & Learning Drive, Trust, Ethics & Human-Centred Leadership.

    How is the AI Change Leadership Readiness scored?

    Responses are totalled within each section and across the diagnostic, and each total falls into a result band.

    What happens after I complete the AI Change Leadership Readiness?

    Once the required items are answered, you enter your first name and email to see your results: an overall interpretation, section scores and development guidance.

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