Why human centric AI adaption makes Change Managers more important than ever
This is an extract from our Global Voices member exclusive series.
Dr Mary-Anne Williams, Liz Urquhart and Jo Grubb explore one of the biggest questions facing Change Managers right now. How do organisations move quickly with AI while protecting trust, capability and human judgement?
Their discussion makes one thing clear. AI is not just another technology rollout. It changes the nature of work itself.
Jo Grubb explains that earlier waves of technology asked whether people could use a tool, then whether they could work in a new way. AI shifts the challenge again. Technology is no longer only a tool. It becomes a participant in the system. That changes the role of Change Managers, because the focus is no longer only adoption. It is also about how people think, how they make decisions, and how they work alongside AI in practice.
A strong thread through the conversation is the idea of human centric AI. The panel explores why AI should strengthen clear thinking, agency, empathy and responsibility, not replace them. One of the most practical questions raised is simple but powerful. If AI is taken out of the system, are people better off because it improved their thinking, or caught short because it replaced their thinking?
Mary-Anne Williams takes that further by describing a shift from task-based work to system-based work, where humans and AI agents coordinate to produce outcomes together. For Change Managers, that means the work is getting broader and more strategic. It is not only about redesigning roles. It is about shaping collaboration, governance, accountability and the points where human judgement matters most.
Liz Urquhart brings a practical implementation lens, highlighting why AI launch can feel different from other change programmes. Teams may feel like they are going backwards before they move forwards. Trust can falter early. Data quality becomes critical. If the foundations are weak, adoption suffers and confidence in the output quickly erodes.
The discussion also tackles AI fatigue, engagement quality and psychological safety. Usage alone is not enough. What matters is how people are engaging with AI, what it is doing to their thinking, and whether leaders are creating the conditions for safe and effective adoption.
This is a thoughtful and highly relevant conversation for Change Managers leading through uncertainty, complexity and fast-moving AI change.
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