Artificial intelligence has moved from an emerging topic to everyday reality faster than many organisations anticipated. For leadership teams, this has created both momentum and tension. There is a strong sense of urgency, clear signs of activity — and yet, in many cases, limited impact on how work is actually done. This article series explores that gap.
Rather than focusing on technology, tools, or trends, the series approaches AI as a leadership and organisational challenge. It looks at how direction, decision‑making, governance and learning shape whether AI becomes a meaningful part of everyday work or remains something we talk about more than we work with.
Carl Heath is a senior researcher at RISE and a doctoral researcher at the University of Gothenburg, focusing on leadership, AI and digital resilience. His work explores how organisationscan navigate technological change while strengthening human judgement, trust and agency. In this article series, he approaches AI not as a technical issue, but as a leadership and organisational challenge rooted in learning and everyday practice.
Across seven articles, the series moves through different parts of the organisation:
- from executive teams trying to turn urgency into purposeful action,
- to leadership decisions that require clarity — and those that benefit from being shared,
- to the pivotal role of middle managers navigating stability and change,
- to questions of fairness, learning and performance in AI‑supported work,
- and finally to governance, pace and long‑term organisational resilience.
A recurring theme throughout the series is agency: the ability to understand the situation we are in, make decisions without having all the answers, and act together. AI does not reduce the need for agency — it makes it more visible and more important.
The underlying perspective is both simple and demanding.
Organisations rarely struggle with AI because they lack ambition or intent.
More often, progress stalls when urgency is not matched by clear direction, real mandate and space to learn in practice.
This series is written for leaders who are less concerned with appearing advanced — and more interested in building shared capability that holds over time.
Article 1: Urgency Without Authority Is Just Stress
Why many executive teams feel the pressure of AI — yet struggle to turn it into action
Article 2: What Leadership Must Own and What It Must Let Go Of
Rethinking control, mandate and responsibility in AI leadership
Article 3: Middle Managers Decide the Outcome. Yet Often Lack the Conditions
Why an old leadership tension becomes critical in the age of AI
Article 4: When Some Thrive and Others Fall Behind
What fair leadership looks like in AI‑augmented organisations
Article 5: Governance That Enables. Not Suffocates
How governance can create clarity and room to act
Article 6: When AI Initiatives Become Theater
Why activity does not always lead to change and what it costs
Article 7: Start Now. But Start Wisely
How leadership teams navigate urgency, learning and long‑term capability