Key takeaways from “Where Senior Leaders are Struggling with AI Adoption, According to Research“
Our latest research has just been published in Harvard Business Review. The article examines how senior leaders are experiencing AI adoption in practice and why the real friction is not technical, but behavioural. Drawing on in-depth interviews with 35 CEOs and senior executives across global industries, we explore a pattern many leaders recognise:
AI ambition is high.
Investment is rising.
But organisational maturity lags.
‘The Human Dimension Still Confounds’
A recent executive survey show near-universal prioritisation of AI at C-suite level. Yet 93% of senior AI and data leaders cite human factors, including culture, change management, organisational readiness, as the primary barrier to adoption.
In our conversations, leaders described:
- Continuous adjustment rather than contained “AI projects”
- Competing definitions of value across stakeholders
- Emotional reactions ranging from optimism to identity threat
- Persistent tension between experimentation and reputational risk
That show up in conversations, decision forums, and unspoken assumptions about risk, expertise and authority.
What the Most Effective Leaders Are Doing
The organisations progressing toward AI maturity are not distinguished by tools alone. They are distinguished by leadership behaviour. They:
Translate complexity into clarity: “Storytelling and simplicity are powerful drivers of adoption… accessibility builds curiosity and trust.”
Model visible learning: “I made a point of using the tools myself… to show you don’t need to be technical to get value.”
Build trust through transparency: “In partnerships, you can’t simply tell people what to do. Change has to come through influence and example.”
Across sectors, we learned: When leaders make uncertainty navigable, adoption accelerates, and when they don’t, experimentation fragments. AI does not diminish leadership, it exposes it.
Part of our Larger Research Programme
The HBR article is the first publication from a broader Positive research initiative examining the behavioural drivers of AI maturity. Our goal is to move the conversation beyond tools and into the human systems that determine whether AI delivers value.
Final thoughts
AI presents leaders with more than a technical shift. It presents an opportunity to shape how AI is understood, adopted and experienced within their organisations. Technology moves quickly. The foundations of effective leadership, clarity, judgement, trust and adaptability, do not. The task now is not to invent entirely new capabilities, but to apply enduring ones with greater intention in a changing context.
What leadership looks like in an AI-enabled world is still unfolding. At Positive, we draw on behavioural science and the lived experience of senior leaders to support that work. AI will continue to accelerate. Leadership will determine what it becomes.
Read more in our latest report ‘How to Lead in the AI Age’
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