Essay
Cultivation Is the Work of Leadership
Boards and C-suites have stopped asking whether artificial intelligence matters. They now ask how do we move faster. The question between the two is the one that decides the outcome.
IOpening
The question has changed
There was a time when almost every executive conversation about artificial intelligence began in the same place. Why should we invest?
It was the question I spent almost a decade helping organisations answer. Every investment required a business case. Every initiative had to demonstrate value before it was funded. Conversations with executive teams rarely began with excitement. They began with scepticism. Would this solve a meaningful business problem? Was the technology mature enough? Did the data exist? Could it be governed responsibly? Would the return justify the investment?
They were the right questions. Artificial intelligence was still emerging, enterprise use cases were uneven, and organisations were being asked to invest ahead of certainty. Much of the work was not technical. It was helping organisations build enough confidence to believe that intelligence would become a strategic capability rather than an interesting technology.
Today I rarely hear that question. Boards and C-suites are no longer debating whether artificial intelligence matters. That debate has settled. Executive teams are asking something else.
How do we move faster?
The question in the room today
For those of us who spent years trying to move organisations past the first question, this should feel like success. In many respects it does. Yet over the past two years I have found myself leaving those rooms with an uncomfortable thought. We have moved from why to how without spending any time on the question that sits between them.
IIDiagnosis
The question we skipped
The gap is almost invisible. If we have already decided to invest, surely the next thing to ask is how quickly we can implement.
I no longer think it is. Organisations do not move from belief to value because they decide to adopt a technology. They move because something changes. Work changes, and so do decision rights, governance, capability and trust. None of that follows from deploying a platform or a new tool. It follows from leaders deliberately building the environment that platform enters.
So the question we skipped is neither why should we invest nor how do we move faster. It is what needs to change.
What needs to change?
It sounds simple. It is where most AI transformation succeeds or fails.
Yesterday
Why should we invest?
Today
How do we move faster?
The one between
What needs to change?
IIIEvidence
The transformation paradox
The evidence is starting to show it. Microsoft's 2026 Work Trend Index calls the pattern the transformation paradox: employees are adopting AI faster than the organisations around them are changing.
19%
Of the AI users surveyed sat in what Microsoft calls the frontier zone, where individual capability and organisational readiness reinforce each other.
26%
Said leadership was clearly and consistently aligned on AI strategy.
When Microsoft separated the drivers of reported AI impact, organisational factors such as culture, manager support and talent practices accounted for 67%, against 32% for individual mindset and behaviour.
Roughly twice the effect sits with the organisation, not the individual.
The hard part is no longer persuading organisations that intelligence matters. It is helping them change so that it can.
IVDistinction
From implementation to cultivation
We have a word for the act of creating the conditions in which something grows. We rarely attach it to leadership.
Implementation
Introduces something new. The thing arrives, complete, and sits where it was put.
Cultivation
Makes it possible for something new to hold. The same thing, joined to the conditions around it.
Implementation introduces something new. Cultivation makes it possible for something new to hold. The distinction is subtle and it changes the role of leadership completely. A leader cannot mandate trust. A leader cannot announce a culture into existence. Capability, judgement and collaboration appear because the conditions allow them to.
A leader cannot
Mandate trust, or announce a culture into existence.
A leader can
Set the conditions in which capability, judgement and collaboration appear.
Technology can be implemented. Enduring advantage cannot. It has to be cultivated.
Seen this way, the questions crowding executive agendas start to resolve into one. How do we redesign work. How do we build confidence in systems we do not fully control. How do we govern without stalling. How do we build capability fast enough to keep pace. Each is a version of the same question: what conditions have to exist before intelligence creates lasting value.
That work is slower than deploying a tool and less visible than announcing an initiative. It also decides whether intelligence becomes a capability or stays a collection of experiments.
VConclusion
The future we cultivate
It is where our name comes from. The overstory is the highest layer of a forest. It does not determine how any single tree grows. It sets the light, the shelter and the temperature that decide what the whole system can become.
Leadership works in much the same way.
Yesterday the question was why should we invest. Today it is how do we move faster. Tomorrow it will be something else, because the technology will keep changing. The work of leadership is steadier. It is to keep asking the question we are most tempted to skip.
That is where work is redesigned, where governance evolves, where trust is built and where capability grows. It is where intelligence becomes more than technology.
The future isn't something we predict.
It's something we cultivate.
§Method and sources
Sources
- 01 The transformation paradox, and all figures in this essayMicrosoft Work Trend Index 2026, Agents, human agency, and the opportunity for every organization. Global survey of 20,000 AI-using knowledge workers across ten markets including Australia, fielded by Edelman Data x Intelligence, February to April 2026. Capability and readiness measures are self-reported.
microsoft.com/worklab
How AI was used
AI was used as an editor, image generator and research partner. All sources are verified against original publications. The words, experience and argument are mine.
About the author
Orla Glynn is Founder and Managing Director of The Overstory Group. She has spent twenty years leading AI and data transformation inside large regulated organisations, and now works with boards, chief executives and leadership teams on the conditions that make capability usable.