The Leadership skill the AI era will demand

Introduction

I began writing this series, in an attempt to figure out the full cost of change so that as we navigate the AI accelerated change, leaders are aware of both the hidden and actual cost of change, however the research took me somewhere slightly different.

Across the last three blogs, we explored the hidden cost of transformation, the possibility that some behaviours we describe as resistance may instead reflect depleted organisational capacity, and the idea that organisations might benefit from evaluating change not only in financial terms, but also in terms of the capacity it consumes.

Collectively, these ideas have led me to a different question. If AI makes continuous adaptation the new normal, what will distinguish organisations that continue adapting successfully from those that gradually struggle under the weight of constant transformation?

I am beginning to wonder whether the answer is not better technology, nor better change management programme but perhaps it may be better stewardship of organisational capacity.

The science

Several different bodies of research point in this direction, although none makes exactly this argument.

Dynamic capabilities research suggests that long-term success depends on an organisation's ability to continually renew and reconfigure itself as environments change. Adaptation is not an occasional activity. It becomes an enduring organisational capability.

Research on organisational capacity for change similarly argues that organisations differ in their ability to sustain repeated change over time, and that this capability influences the success of future transformation initiatives.

Implementation science reminds us that introducing change is only the beginning. New technologies and new ways of working only create value when they become embedded in everyday practice.
Meanwhile, theories such as the Job Demands-Resources model, conservation of resources theory and research on organisational attention all suggest that the human resources required to sustain adaptation are finite.

Although these theories originate from different disciplines, they converge around a common idea. Successful adaptation depends on more than strategy. It depends on the human capability available to sustain it.

Key findings

Reading across these different perspectives has left me with a personal hypothesis. The defining leadership responsibility of the AI era is not managing change, it is stewarding organisational capacity.
By organisational capacity, I am referring to the collective human capability an organisation draws upon to understand change, make sense of it, learn, collaborate, make good decisions and continue delivering whilst adaptation is taking place.

Unlike financial capital, organisational capacity is constantly being spent and replenished.

• Every difficult decision draws upon it.
• Every restructuring consumes some of it.
• Every new technology requires it.
• Every successful learning experience can strengthen it.

Leadership, therefore, may be less about persuading people to embrace change and more about ensuring the organisation retains enough capacity to keep adapting.

What this means in practice

If this hypothesis proves useful, I wonder whether leadership conversations might begin to change.
Rather than asking only:
"How quickly can we implement this?"
Leaders might also ask:
"What organisational capacity will this require?"
Instead of asking:
"Why are people resisting?"
They might ask:
"What capacity have we already asked people to spend?"
Instead of celebrating the completion of another transformation programme, they might ask:
"Has this initiative left the organisation with greater capacity than it had before?"

Those questions shift leadership away from managing projects and towards stewarding capability. This feels particularly important in the context of AI. Technology will undoubtedly continue to evolve. What will determine organisational success, however, is unlikely to be technology alone. It will be whether organisations preserve enough human capability to learn continuously, exercise sound judgement, collaborate effectively, adapt responsibly and recover before the next wave of transformation arrives.

This is the leadership challenge we need to understand and support. The organisations that thrive over the next decade may not be those that implement AI the fastest. They may be those that become the most thoughtful stewards of organisational capacity. I suspect that is a very different leadership discipline from the one many of us were taught. And I think we are only beginning to explore what it might look like.

A quote to reflect on
"Technology may determine what becomes possible. Organisational capacity may determine what becomes sustainable."

A question to reflect on
As you think about the next major change in your organisation, what would be different if your primary leadership responsibility was not simply delivering the transformation, but leaving your organisation with greater capacity than it had before?

​Closing thoughts
Every change sends an invoice. The organisations that thrive will be those that learn how to calculate its true cost.
​
Further reading

• Teece, D., Pisano, G. & Shuen, A. (1997). Dynamic Capabilities and Strategic Management.
• Heckmann, N., Steger, T. & Dowling, M. (2016). Organizational Capacity for Change, Change Experience, and Change Project Performance.
• May, C. & Finch, T. (2009). Implementing, Embedding, and Integrating Practices: An Outline of Normalization Process Theory.
• Hobfoll, S. E. (1989). Conservation of Resources: A New Attempt at Conceptualizing Stress.
• Bakker, A. B. & Demerouti, E. (2007). The Job Demands–Resources Model: State of the Art.

What if organisations needed a change balance sheet?

Introduction

Every major investment made by an organisation is scrutinised before it is approved. Financial forecasts are reviewed, risks are assessed, expected returns are modelled and sensitivity analyses are conducted. Few boards would approve a significant investment without understanding its likely financial implications.

Yet organisational change is different. While we estimate the financial cost of introducing change with increasing sophistication, we rarely estimate the organisational resources that change will consume. I think this is the part many business cases still miss.

In addition to a business case, perhaps organisations also need a Change Balance Sheet. Not a financial document but a leadership discipline. One that asks not only what a change will cost financially, but what it will require from the organisation itself.

The science

One of the recurring themes across the research is that organisational resources are finite. William Ocasio's Attention-Based View suggests that organisational behaviour is shaped by how attention is distributed. Every new strategic priority competes for the same limited pool of managerial and employee attention. Prioritising one initiative inevitably means giving less attention to another or even have the effect of crowding out old ones.

Research on Organisational Capacity for Change reaches a similar conclusion from a different perspective. Organisations vary in their ability to repeatedly initiate, implement and sustain change. This capacity influences the success of future transformation efforts, suggesting that organisational capability is itself a resource that can either be strengthened or depleted over time.

Studies of organisational slack add another interesting dimension. Although slack is often viewed as inefficiency, management research has shown that having spare resources can improve adaptability and resilience during periods of uncertainty. An organisation operating permanently at full capacity may appear efficient, but it also has less room to absorb unexpected disruption or major transformation.

Taken together, these ideas point towards an important observation. Organisations already manage financial capital carefully, perhaps they should become just as intentional about managing organisational capacity.

Key findings

Reading across these different areas of research led me to another question.

What if every major transformation drew from two different accounts?
The first is obvious, financial capital. We know how much we are spending but the second is largely invisible, organisational capacity.

Every transformation draws upon:

• attention
• learning effort
• managerial judgement
• collaborative relationships
• emotional energy
• the ability to maintain today's performance whilst building tomorrow's.

A change may be financially affordable and still organisationally expensive. Unlike financial capital, these resources are rarely measured before they are committed. That may explain why organisations sometimes approve multiple well-justified initiatives that, collectively, become difficult to absorb. Each business case may be perfectly reasonable when considered in isolation but together, they may exceed the organisation's available capacity.

What this means in practice

Reading the literature didn’t lead me to a validated model or an evidence-based diagnostic, I wish it did. It did leave me with a practical idea and serves as a proposed lens for thinking about change more honestly. Before approving a major transformation, what if organisations considered a simple Change Balance Sheet?

Rather than looking only at the financial investment required, they might also ask:

• What organisational capacity will this change consume?
• Will it require significant managerial attention?
• Will teams need to learn entirely new ways of working?
• Will existing routines need to be unlearned?
• Will collaboration become more complex before it becomes simpler?
• Will this initiative compete with other major changes already underway?

Equally important:
What organisational capacity will this change create?

• Will it simplify work?
• Reduce cognitive load?
• Improve decision quality?
• Strengthen collaboration?
• Create more time for higher-value activities?

These questions are intentionally different from traditional return-on-investment calculations. They acknowledge that organisational capacity can be both spent and created. After all, the real aim of transformation should not be simply to deliver change but to leave the organisation with greater capacity than it had before. If a transformation repeatedly consumes more organisational capacity than it eventually creates, we might reasonably ask whether it represents sustainable progress at all.

A quote to reflect on
"The best transformations do not simply deliver new technology. They leave organisations with greater capacity than they had before." My own reflections

A question to reflect on
If you listed every significant change currently taking place in your organisation, would you be more concerned about the financial investment or the cumulative organisational capacity they require?

Further reading
​

• Ocasio, W. (1997). Towards an Attention-Based View of the Firm.
• Heckmann, N., Steger, T. & Dowling, M. (2016). Organizational Capacity for Change, Change Experience, and Change Project Performance.
• Bourgeois, L. J. (1981). On the Measurement of Organizational Slack.
• Teece, D., Pisano, G. & Shuen, A. (1997). Dynamic Capabilities and Strategic Management.

 

We call it resistance. what if it's capacity?

Introduction
One of the most common phrases I hear about organisational change is: "People are resistant to change."

Sometimes it is said with frustration. Sometimes with disappointment. Occasionally with resignation. The implication is usually the same. The organisation has a good strategy. The technology is sound. The business case makes sense. If only people were more willing to embrace the change, progress would be faster.

After writing the first article in this series, I began to wonder whether that diagnosis is always correct. What if some of the behaviours we label as resistance are not opposition to the change, but signs that the organisation is running low on capacity?

The distinction matters because the leadership response is very different. If the problem is resistance, the solution is often communication, engagement or persuasion. If the problem is depleted organisational capacity, the solution may be something else entirely.

The science

Several strands of research point towards a similar conclusion, although they describe it in different ways.

The Job Demands-Resources Model suggests that every job contains demands that require sustained effort and resources that help people meet those demands. When demands continue to increase without a corresponding increase in resources, people become more vulnerable to exhaustion, disengagement and reduced performance. Importantly, the issue is not simply the amount of work. It is the balance between what work requires and the resources available to meet those requirements.

This feels particularly relevant during AI-enabled transformation. Employees are often expected to continue delivering today's work whilst simultaneously learning new technologies, redesigning processes and adapting to unfamiliar ways of working. In many organisations, the new demands arrive before the old ones disappear.

Conservation of Resources Theory adds another perspective. Hobfoll proposed that people strive to acquire, retain and protect valued resources such as time, energy, confidence, competence and supportive relationships. When these resources are threatened or depleted, people naturally become more protective of what remains. From this perspective, behaviours that appear to be resistance may sometimes be attempts to conserve limited resources rather than deliberate opposition to change. Repetitive reorganisations can intensify uncertainty and workload, which in turn contributes to change fatigue and makes further change harder to absorb.

Psychological Contract Theory provides a further insight. Employees carry unwritten expectations about their relationship with their organisation. During periods of repeated change, people may begin asking different questions. Will this change last? Is it worth investing my energy in learning another system? Will today's priorities still matter next year? When uncertainty becomes prolonged, people may become more cautious about where they invest their effort and commitment.

None of these theories suggests that resistance is a myth. People do sometimes disagree with change, but what they collectively suggest, however, is that apparent resistance may have more than one explanation.

Key findings

Looking across these different theories, several patterns begin to emerge. Organisational capacity rarely disappears overnight. It is more likely to decline gradually as demands accumulate faster than organisations can replenish the human resources required to sustain them.

The earliest signs may not be burnout. They may show up first as changes in behaviour.

• Curiosity gives way to caution.
• Experimentation becomes compliance.
• People contribute fewer ideas, ask fewer questions and become more reluctant to invest in initiatives they are unsure will endure.
• Decision-making slows because people are already managing multiple competing priorities.
• Managers spend increasing amounts of time providing reassurance whilst having less time available to coach, develop and support their teams.

None of these behaviours proves that organisational capacity has been depleted. But taken together, they may represent signals that deserve closer attention than they often receive.

What this means in practice

Perhaps organisations are sometimes solving the wrong problem.

When leaders observe slower adoption, increased scepticism or reduced enthusiasm, it is understandable to ask:
"How do we overcome resistance?"

But there may be another question worth asking first.
"What has this organisation already adapted to?"
"What resources have people already spent?"
"What have we asked them to learn, unlearn and make sense of over the past twelve months?"

These questions shift the conversation away from individual attitudes and towards organisational conditions.

If organisational capacity is finite, then every major transformation draws from the same pool of attention, learning effort, managerial judgement, emotional energy and collaborative capability.

Eventually, organisations may need to ask a harder question. They can continue interpreting these behaviours as evidence that people need to become more resilient or they can begin asking whether the organisation itself has become less able to absorb another wave of change. Those are very different leadership conversations. The first focuses on changing people and the second focuses on stewarding organisational capacity. As AI continues to reshape the world of work, I suspect that distinction will become increasingly important.

A quote to reflect on
"What if the behaviours we describe as resistance are not problems to be fixed, but signals that organisational capacity is being quietly depleted?"

A question to reflect on
The next time you hear someone describe employees as resistant to change, what evidence would help you distinguish between genuine opposition to the change and an organisation that may simply be running low on capacity?
​
Further reading

• Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328.
• Hobfoll, S. E. (1989). Conservation of resources: A new attempt at conceptualizing stress. American Psychologist, 44(3), 513–524.
• Rousseau, D. M. (1995). Psychological contracts in organizations: Understanding written and unwritten agreements. Thousand Oaks, CA: Sage.
• De Vries, M. S. E., & De Vries, M. S. (2023). Repetitive reorganizations, uncertainty and change fatigue. Public Money & Management, 43(2), 126–135.

Every Change Sends an Invoice.
Most organisations never calculate its true cost.
 
Introduction

Every significant organisational change begins with a business case. Whether it is a restructuring, a new operating model or a digital transformation, leaders spend considerable time calculating the financial investment required. Technology costs are estimated, consultancy fees are negotiated, training budgets are agreed, risks are documented and more importantly benefits are forecasted. At that point, the stars are aligned and someone decides whether the return justifies the investment.

It is a disciplined process, and rightly so. Yet as I reflected on the wave of AI-enabled transformation that many organisations are now embarking on, I found myself wondering whether there is a fundamental assumption sitting quietly beneath every business case, one that is rarely discussed, let alone measured.
Many business cases implicitly assume the organisation has enough capacity to absorb the proposed change, even when that capacity is never explicitly tested. We calculate the cost of implementing the change, but we rarely calculate the organisational resources required to make it successful.

The challenge organisations face over the next decade is unlikely to be a single transformation programme but continuous disruption. In some sectors, AI is accelerating the pace at which organisations redesign work, redefine roles and rethink how value is created. For many organisations, change is no longer an occasional event punctuating periods of stability. It is becoming a continuous condition of organisational life.

If that is true, then perhaps the leadership challenge is changing too.
Perhaps the question is no longer simply, "Can we implement this change?"
Perhaps it is, "Do we currently have the organisational capacity to absorb it?"
I am not convinced we ask that question at all and that distinction may become increasingly important.

The science

Much of the traditional change management literature was developed when organisational change was largely viewed as episodic. Organisations moved through periods of relative stability before experiencing major transformation and eventually settling into a new equilibrium. That assumption is becoming increasingly difficult to sustain.

Heckmann, Steger and Dowling argue that organisations now operate in environments characterised by faster, more continuous and more complex change than many earlier models anticipated. Rather than focusing solely on managing individual change programmes, they suggest organisations differ in their capacity for change - their ability to initiate, implement and sustain change on an ongoing basis. Importantly, their research found that organisations with stronger capacity for change were more successful in delivering change initiatives.
This is a subtle but significant shift in thinking. It suggests that successful transformation is not determined solely by the quality of the project itself. It also depends on the organisation's ability to keep adapting without exhausting the very capabilities that make adaptation possible.

Implementation science reinforces this perspective. Normalisation process theory argues that implementation should not be confused with success. Introducing a new technology, policy or process is only the beginning. Sustainable change depends on the collective work people undertake to embed that new practice into everyday routines until it becomes the normal way of working. In other words, the launch of a change initiative is not the finish line; it is the point at which much of the real work begins.

William Ocasio's attention-based view of the firm adds another important dimension. Organisations influence behaviour by directing where attention is focused. Every new initiative competes for finite managerial and employee attention, meaning that prioritising one strategic objective inevitably diverts attention away from something else. Attention, like financial capital, is a limited organisational resource.

Teece, Pisano and Shuen’s work on dynamic capabilities adds another layer: it suggests that successful organisations do not just implement change, they build the ability to reconfigure themselves repeatedly without exhausting the system that has to carry the change.

Taken together, these perspectives suggest something that I do not believe receives sufficient attention in organisational practice.

Every change consumes resources that rarely show up in the business case.

• It consumes attention.
• It consumes learning effort.
• It consumes managerial time.
• It consumes established routines.
• It consumes confidence while people learn unfamiliar ways of working.

Yet these organisational resources rarely appear anywhere in the financial appraisal of a transformation programme.

Key findings

Reading across these different strands of research left me with three observations.

First, the success of organisational change depends not only on implementing a new initiative, but on an organisation's ability to absorb and sustain successive waves of change over time.

Second, implementation and embedding are not the same thing. Organisations frequently measure whether a project has been delivered, but far less often whether the new way of working has genuinely become part of everyday organisational life.

Third, every change competes for finite organisational attention. Introducing a new strategic priority inevitably changes what receives less attention elsewhere, whether that trade-off is recognised or not.

None of these ideas is new in isolation but what struck me was how rarely they are considered together when leaders decide whether another transformation should begin.

What this means in practice

We have become very good at estimating the financial cost of change. We are much less good at estimating what it will take from the organisation itself. We routinely model return on investment, implementation costs, delivery risks and expected benefits. Those are all necessary disciplines.

What we rarely estimate is the organisational capacity required to make the change successful.
Perhaps every business case rest on an assumption that is never formally tested:

• We have enough attention.
• We have enough managerial capacity.
• We have enough learning capacity.
• We have enough organisational headroom to absorb another significant change.

These assumptions may be perfectly reasonable or they may not. The difficulty is that we rarely know because we almost never attempt to assess them. I am not arguing that organisations should avoid change. Quite the opposite. In an AI-enabled world, the ability to adapt will almost certainly become a source of competitive advantage.

What I am questioning is something more fundamental. If financial capital is managed carefully because it is finite, why do we treat organisational capacity as if it were unlimited? Perhaps, before approving any major transformation we should routinely ask four questions rather than three.

Is it strategically necessary?
Is it financially viable?
Is it operationally achievable?
And do we currently have the organisational capacity to absorb it?

The first three questions appear in almost every business case but the fourth rarely does. That may become one of the most important leadership questions of the next decade.

A quote to reflect on
"The true cost of change is rarely what it takes to launch it. It is what the organisation continues to spend until the change becomes ordinary." My own reflections

A question to reflect on
When your organisation approves a major transformation, how much confidence do you have that it is estimating not only the financial investment required, but also the organisational capacity it will consume?

Further reading

• Heckmann, N., Steger, T., & Dowling, M. (2016). Organizational capacity for change, change experience, and change project performance. Journal of Applied Behavioral Science, 52(2), 141–170.
• May, C., & Finch, T. (2009). Implementing, embedding, and integrating practices: An outline of Normalization Process Theory. Implementation Science, 4, 29.
• Ocasio, W. (1997). Towards an attention-based view of the firm. Academy of Management Review, 22(1), 187–206.
• Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

 
 
 

Part 4: Deciding when clarity is not available

You are leading through a difficult period. Performance is uneven. Morale is fragile. Expectations have not changed. You need to make a call that will affect delivery, people, and priorities. There is no clean option. If you optimise for delivery, you risk burnout. If you optimise for people, you risk missing targets. You do not have full clarity, but you cannot wait.
What does a good decision even look like here?

The science

Research into decision-making under uncertainty points in the same direction: the goal is not certainty. It is making the best call you can with what you know, then being willing to adjust when the picture changes. People do not rise to the level of their knowledge so much as they fall to the level of their capacity under pressure. In practice, decision quality depends not just on information, but on what the person or group can actually hold in the moment.
 
Gary Klein’s work is relevant again here. In high-stakes settings, experienced decision-makers often do less comparing and more recognising. They notice what kind of situation they are in and draw on pattern, not just analysis. That can be highly effective, but only when the environment is familiar enough for recognition to be useful.

At the same time, psychological safety matters. If people do not feel able to challenge, question, or change direction, then mistakes are more likely to stay hidden. Decision quality is not just individual. It is collective. Under pressure, people do not always choose the best option for the organisation. They often choose the option that feels safest for themselves.

Clarity often comes after action, not before it.

Key findings

Across the research and in practice, a few things stand out.

1. You cannot remove uncertainty from important decisions. The goal is to move through it without pretending it is not there.
2. Capacity matters more than frameworks under pressure. In the moment, people rarely reach for models. They rely on what they can hold.
3. Decision quality is collective, not just individual. Better outcomes depend on how challenge, information, and perspective move through the system.
4. Clarity often comes after action. Waiting for perfect information can slow learning and make the situation harder to read.

 
What this means in practice

If decisions are made under pressure, in systems, and with incomplete information, then improving them requires two shifts. First, build the capacity to hold the moment, not as theory, but in how you operate when it matters.
​

• Emotional capacity- can you stay calm enough to think, rather than react?
• Cognitive capacity- can you hold more than one perspective without rushing to a single story?
• Relational capacity- can you create space for challenge, especially when it is uncomfortable?
• Technical capacity- do you understand the system, constraints, and trade-offs shaping the decision?
• Moral capacity- are you clear on what matters when there is no perfect option?

These are not abstract traits. They shape how people show up when the pressure is on.

Second, design better decision environments. Even capable people struggle in systems that make good judgement hard. That means being clear about who decides and who contributes, allowing dissent without punishment, and making the relevant trade-offs visible. Capacity matters, but it is only part of the story. Even capable people make poor decisions when systems reward speed over judgement, discourage challenge, and obscure trade-offs, they do not just influence decisions. They limit them.

So the question is not only, “How do we make better decisions?” It is also, “What conditions make better decisions possible?”

A quote to reflect on
In uncertainty, the real skill is not prediction. It is adaptation. – My own reflections

A question to reflect on
Think about the next decision you need to make. Not just what you will decide, but whether you have the capacity and the conditions to decide well.

Further readings

• Klein, G. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT Press.
• Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.
• Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Hoboken, NJ: Wiley.

Closing thought for the series
We often treat decisions as moments: a point in time where a choice is made. But decisions are rarely just moments. They are shaped by systems, pressure, capacity, and context.

That does not remove individual responsibility. It makes it more realistic. The better question is not only what decision was made, but what made that decision likely in the first place and what it says about the system around it.

Part 3: Decisions are not clean — they are messy, political, and human

You are in a leadership meeting. A proposal is on the table. On paper, it is strong, but the room tells a different story. One senior stakeholder is quiet. Another is supportive, but carefully so. No one challenges it directly, yet the room does not feel settled.

The group starts moving towards consensus. Do you go with it? Or do you interrupt the moment?
This is where decision-making gets less tidy. Real choices are rarely made in a vacuum. Decisions happen in social settings, where people are not only choosing between options but managing relationships, reputation, status, risk and politics. Politics is simply what happens when decisions have consequences and not everyone is affected in the same way.

The science

Karl Weick’s work on sensemaking is useful here because it reminds us that people do not always understand first and act later. Often, they act, interpret, and then make sense of what they have done. In that sense, decisions are not always the end point of thinking. Sometimes they are how people figure things out.
That is important, because it means decision-making in organisations is rarely just about choosing the best option. It is about choosing something that can survive the social reality of the room. It is often iterative, negotiated, and incomplete.

Amy Edmondson’s research on psychological safety adds another layer. When people believe they can speak up without embarrassment or punishment, they are more likely to raise concerns, ask questions, and contribute information that improves the quality of the decision. When they do not feel safe, silence becomes more likely.

Silence is not neutral. It changes what the group can know.

This is why agreement in the room does not always mean alignment in practice. People may nod along publicly while remaining unconvinced privately. They may stay quiet because they fear conflict, do not trust the process, or assume their contribution will not matter.

Philip Tetlock’s work on forecasting and judgement is also relevant here. Better judgement is not built on certainty, but on the ability to hold multiple possibilities, update beliefs, and resist premature closure. That is an uncomfortable discipline, but it is a more realistic one.

Key findings

A few patterns show up consistently in real decision environments.

1. Power shapes the decision.
   Whose voice carries weight often matters as much as what is said.
2. Apparent irrationality often has a logic.
   Protecting relationships, reputation, or stability can drive choices that do not look optimal on paper.
3. Timing is part of the decision.
   Delaying, accelerating, or sequencing a decision can be as important as the choice itself.
4. Agreement does not equal alignment.
   People may say yes in the room and still resist in practice if underlying concerns have not been surfaced.

What this means in practice

If decisions are political as well as practical, the goal is not to pretend they are clean. The goal is to navigate them more consciously.

That starts with recognising what is really happening in the moment. A decision that looks like hesitation might be someone managing stakeholder reactions, creating space for alignment, or avoiding premature closure. A decision that looks like agreement might be compliance without commitment, silence driven by risk, or unresolved tension beneath the surface.

This is where decision-making becomes less about choosing an option and more about reading the environment: what is safe to say, what is risky to challenge, and what the room is really rewarding.

Ask:

• What is being said?
• What is not being said?
• Who is influencing the direction?
• What is at stake for each person in the room?
• What would happen if this decision were made differently?

Not just in terms of outcomes, but in terms of trust, relationships, and future behaviour. Because in organisations, the right decision on paper is not always the decision that can survive the room.

A quote to reflect on
The most important problems in organisations are not technical, they are adaptive. — Ronald Heifetz

A question to reflect on
Think about a decision that did not go the way you expected. What context made it feel right to the people involved?
​
Further readings

• Weick, K. E. (1995). Sensemaking in organizations. Thousand Oaks, CA: Sage.
• Edmondson, A. C. (2019). The fearless organization: Creating psychological safety in the workplace for learning, innovation, and growth. Hoboken, NJ: Wiley.
• Tetlock, P. E., & Gardner, D. (2015). Superforecasting: The art and science of prediction. New York, NY: Crown.

Part 2: When to move fast and when to slow down

You get a message late in the day. A decision is needed before tomorrow morning. A partner organisation is waiting. Delays could cost the deal. You have partial information. The risks are not fully clear.

Your instinct is to pause. The expectation is to move.

This is where many organisations get decision-making wrong. They treat speed as a virtue in itself. Decisive gets confused with competent. Fast gets confused with effective. But speed only helps when it fits the kind of decision in front of you.

The real question is not, “How quickly did we decide?” It is, “Did we move at the right pace for the decision we were actually facing?”

The science

Research into real-world decision-making paints a more nuanced picture. Gary Klein’s work with firefighters, military leaders, and emergency responders showed that fast decisions are not usually about rushing. They are often about pattern recognition. Experienced decision-makers move quickly because they recognise what is happening and can mentally test a response before acting.

That is very different from haste.

In familiar conditions, expertise can make speed a strength. In unfamiliar or ambiguous conditions, speed becomes much less reliable. The point is not that intuition is always superior. It is that fast judgement works best when the environment is stable and the decision-maker has deep experience in that setting.

Gerd Gigerenzer’s work points in a similar direction. Simple rules can outperform complex analysis, but only when they fit the structure of the environment. A heuristic is not valuable because it is simple. It is valuable because it is well matched to the problem.

John Sweller’s work on cognitive load also matters here. When cognitive load is high, complex reasoning becomes harder to sustain. That means speed may sometimes be a practical necessity. But necessity is not the same as quality.

Moving quickly in familiar territory can be efficient. Moving quickly in ambiguity is often a route to avoidable error.

Key findings
A few distinctions matter more than speed alone.

1. Expertise changes the value of speed.
   Fast decisions are more reliable when they are grounded in experience and pattern recognition.
2. Ambiguity calls for pause.
   When the problem is unclear or the options involve competing priorities, slowing down creates space for better judgement.
3. Not all decisions deserve the same pace.
   Some decisions are reversible. Others are not. Treating them the same creates avoidable risk.
4. Organisations often reward speed.
   In many workplaces, acting quickly is read as leadership, even when it is not the most thoughtful response.

What this means in practice
If the goal is better decisions, speed becomes something to manage rather than maximise. Move fast when the situation is familiar, the cost of reversal is low, and expertise is high. Slow down when the stakes are high, the information is incomplete, or the issue is contested.

That sounds obvious, but many workplaces make it difficult in practice. If the culture rewards quick answers, penalises hesitation, or equates decisiveness with certainty, then slowing down can feel risky even when it is the wiser move.

That is where decision-making often breaks down. Not because people do not know they should pause, but because the system makes pausing feel like weakness.

A quote to reflect on
A confident decision is not always the right one. – My own reflections
​
A question to reflect on
Think about a recent decision you made quickly. Was it fast because the situation called for it, or because slowing down felt uncomfortable?
 
Further readings

• Klein, G. (1998). Sources of power: How people make decisions. Cambridge, MA: MIT Press.
• Gigerenzer, G. (2007). Gut feelings: The intelligence of intuition. London: Penguin.
• Kahneman, D. (2011). Thinking, fast and slow. New York, NY: Farrar, Straus and Giroux.

Part 1: You are not deciding alone - the system is deciding with you

A few weeks ago, Oracle laid off thousands of employees via email. Recently, Meta announced restructuring and job cuts. Decisions like these make headlines because they expose something uncomfortable: organisational choices are rarely just about individual judgement. They are shaped by hierarchy, incentives, timing, and what people think can be said in the room.

That is why the better question is not simply, “What did they decide?” It is, “What made that decision more likely than the others?” There is usually a person making the call, but there is also a wider system shaping what they see, what they value, and what they feel able to say. In practice, the decision is never made in isolation.

Imagine you are in a budget meeting. Two options are on the table. One protects a high-performing team that consistently delivers results. The other redirects resources to a struggling team that has been underfunded for years. The data supports one choice. The politics of the room support another. Someone says, “We need to be fair.” Another adds, “We cannot afford to lose momentum.” You know what the numbers say. You also know what the decision will signal.

That is the tension at the heart of organisational decision-making. It is not only about choosing between options. It is about how systems shape the choice before it even reaches the table.
Before we get into the theory, it is worth pausing here. Most decision advice focuses on the person making the call. That matters, but it is only half the story. The other half is the system they are making the decision in, because the environment often shapes the choice before the choice is even conscious.

The science

Decision-making is often framed as a cognitive act, but decades of research suggest something more constrained and more contextual. Herbert Simon’s work on bounded rationality is a useful starting point. His argument was not that people are incapable of good judgement, but that real decisions are made with limited information, limited time, and limited cognitive capacity. Under those conditions, people do not optimise in the abstract. They satisfice: they choose an option that is good enough for the constraints they are facing.
That matters, because it changes the question. Instead of asking whether people are always rational, we should ask what makes rational judgement possible in the first place.

Daniel Kahneman’s work helps here too. Under pressure, people have less capacity for slow, deliberate reasoning, and are more likely to rely on faster, more intuitive processes. That does not mean intuition is wrong. It means the mind adapts to constraint. When the load is heavy, we simplify.

John Sweller’s cognitive load theory strengthens this point. As cognitive load increases, our ability to process information, weigh alternatives, and challenge assumptions declines. In other words, pressure does not just make decisions harder in a general sense. It changes the quality of thinking available in the moment.

But this is only part of the picture. Decisions do not happen in isolation. They are shaped by what is rewarded, who has power, how much time is available, and what information is visible enough to matter.
In that sense, the system is never neutral. It shapes what feels safe to say, safe to defend, and safe to repeat. A decision may look irrational from the outside and still make sense to the people inside it, because they are responding to pressures the outcome alone cannot show.
 
Key findings

A few patterns show up consistently.
1. Decisions are constrained before they are made.
The options on the table are already shaped by hierarchy, incentives, time pressure, and available information.
2. Under pressure, people default to what is easiest to defend.
Not necessarily what is best, but what can be justified quickly and publicly.
3. Fairness and legitimacy matter, not just efficiency.
People judge decisions by outcomes, but also by whether the process feels credible and equitable.
4. Silence is information.
When people do not speak up, it is often because the environment has signalled that speaking may not help.

What this means in practice

If decisions are shaped by systems, then improving judgement is not just about improving individuals. It also means redesigning the environment in which decisions are made.
What signals does this environment send about what matters? Who is able to challenge, and who is not? What is rewarded here: speed, certainty, conformity, or sound judgement? Where might people be choosing what is defensible over what is right?

This also reframes how we think about bad decisions. Sometimes they are not mistakes in the usual sense. Sometimes they are adaptations. They are responses to an environment that rewards certain behaviours and penalises others.

Because in that meeting, you are not simply choosing between two options. You are responding to fairness, performance pressure, reputation, and future consequences. The system is deciding with you. That is why the more useful question is not, “Why did they make that decision?” but, “What does this system make easiest to decide, and hardest to question?”

A quote to reflect on
We do not see things as they are, we see them as we are. - Anaïs Nin

A question to reflect on
What in your environment is shaping your decisions before you make them?
​
Further readings

• Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux.
• Simon, H. A. (1947). Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. New York: Macmillan.
• Sweller, J. (1988). “Cognitive Load During Problem Solving: Effects on Learning.” Cognitive Science, 12(2), 257–285.

Part 5: Culture as Infrastructure, Not Intervention

We often treat culture as a lever we can pull to make performance move. Across this series, the evidence has suggested something more modest – and, in practice, more useful. This final part is for leaders, HR, and OD practitioners who want to stop treating culture as a magic answer and start working with it as part of the organisational system. The aim here is to help you see culture as infrastructure: the conditions under which your strategy, structures, and people either struggle or thrive – and to offer a simple way to work with that.








​Introduction
Across this series, we have examined:

• The lack of definitional consensus.
• The unclear cause-and-effect story linking culture to performance.
• The measurement challenges.
• The modest and inconsistent empirical associations.

None of this suggests culture is irrelevant, but it does suggest something important: we may have been treating culture as a lever when it is better understood as infrastructure. And infrastructure operates differently.

The Science
The CIPD evidence review concludes that while culture correlates with performance, the association is moderate to low and often weaker when objective measures are used. It also finds no strong, consistent evidence demonstrating that culture change interventions, in isolation, causally improve performance. These findings challenge a common assumption: that culture can be directly engineered to produce performance gains. If the predictive strength is modest and the intervention evidence thin, perhaps culture does not function as an independent performance engine. Perhaps it functions as something else.

Key Insight: Culture as Infrastructure
Infrastructure does not generate movement on its own.
But it determines:

• How easily movement happens
• Where friction accumulates
• How energy is transmitted
• Where strain builds
• What fails under pressure

In organisational terms, culture may:

• Stabilise expectations
• Signal what is normal
• Shape informal rules
• Influence trust
• Affect coordination
• Reduce or amplify friction

These are enabling conditions. They do not replace strategy, leadership capability, talent quality, or structural design. But they shape how effectively those elements operate. If culture is infrastructure, then trying to “change culture” in isolation may be misguided. Infrastructure shifts when the system shifts.

What Does This Mean in Practice?
If we treat culture as infrastructure rather than intervention, several implications follow. First, culture becomes less about slogans and more about system design. Instead of asking: “How do we change our culture?”
We ask:

• What behaviours are consistently rewarded?
• What behaviours are consistently penalised?
• How are decisions actually made?
• Where does power sit?
• What happens when someone challenges the status quo?
• What happens when someone fails?

Second, culture becomes less about stand-alone programmes and more about coherence. If leadership messaging, incentives, performance management, and promotion criteria pull in different directions, culture will stabilise around the strongest signal – not the stated value. Third, culture becomes less mystical.
It is not an invisible force. It is the patterned outcome of repeated decisions, structural signals, and behavioural reinforcement.

Fourth, culture may matter most in interaction with other predictors. A modest independent correlation does not mean culture is irrelevant. It may mean:

• It amplifies or dampens other drivers.
• It moderates how strategy translates into behaviour.
• It affects whether talent thrives or exits.

In that sense, culture is not horsepower.
It is the road surface.
And roads matter.

If You’re a Leader or HR Practitioner, Try This Week
To work with culture as infrastructure, you can use it as a lens on your system rather than a project of its own:

1. Run a “signals and systems” audit.
   With your team, pick one stated value (for example, “we value learning” or “we put customers first”). For that value, list:
   • Recent decisions about hiring, promotion, and reward.
   • How mistakes are handled.
   • How resources and time are allocated.
     Ask: what do these choices actually signal about what matters here?
2. Trace one behaviour back to its supports.
   Choose a behaviour you want more of (for example, speaking up early about risks) or less of (for example, hiding bad news). Map:
   • Which formal processes currently make this easy or hard?
   • Which informal norms reinforce it?
   • What are the real consequences for people who act differently?
     This helps you see the infrastructure behind the behaviour.
3. Align one system element with your intent.
   Instead of launching a broad “culture change” initiative, choose one concrete lever to adjust (for example, who has input to key decisions, how performance reviews are done, how success is recognised). Make a small, deliberate change and watch how conversations, expectations, and “culture talk” shift over the next few months.
4. Make trade-offs explicit.
   In your next strategy or people discussion, when someone says “we need a culture of X”, ask:
   • “Which specific behaviours do we mean?”
   • “Which system changes are we willing to make to support those behaviours?”
   • “What will we stop rewarding?”
     This moves you from aspirations to design.
5. Tell the story differently.
   In your communication, move from “we are changing our culture” to statements like: “We are changing how decisions are made, how we recognise contribution, and how we respond to mistakes. If we do this consistently, over time it will change what people experience as our culture.”

These actions will not transform culture overnight. But they treat culture as the product of your infrastructure – which is where you have real leverage.

Where We May Need More Research
The evidence base calls for humility.
We need:

• More longitudinal studies.
• More intervention-based research.
• Better construct clarity.
• Greater examination of how culture interacts with structural predictors.
• Comparative research examining culture alongside variables such as leadership quality, incentive design, and talent composition.

If culture is infrastructure, we should study how it interacts with the system  - not treat it as a stand-alone causal agent.

What I’m Not Saying
I am not saying culture is irrelevant.
I am not saying values work has no place.
I am not saying you should stop listening to employees.
I am saying:

• Treat culture as context, not magic.
• Be precise about the mechanisms you believe are at work.
• Pay as much attention to systems, structures, and leadership as you do to slogans and surveys.

A simple way to work with Culture
Bringing the series together, you can treat culture as infrastructure using five practical steps:

1. Define your terms.
   Write down what you mean by “culture” in your context and translate it into observable behaviours and system signals.
2. Map mechanisms.
   For each key outcome you care about, sketch how you believe “culture” influences it (through trust, coordination, learning, and so on). Then look for evidence that this is actually happening.
3. Audit measurement.
   List the tools you use (surveys, diagnostics, indices), what they really measure (for example, fairness, clarity, leadership), and what you might be missing.
4. Identify higher-impact levers.
   Put culture work alongside other levers: leadership quality, decision structures, incentives, talent practices, role clarity. Decide consciously where to focus first.
5. Design system experiments.
   Choose one system element to adjust, run a small experiment, and watch how behaviour and “culture” narratives change over time.

You can use these steps as a simple playbook – for yourself, with your team, or in a workshop.

A Quote to Reflect On
“There is little evidence consistently linking organisational culture to performance, but if such a link should exist, it is very weak and too small to be practically meaningful.”
— Organisational Culture and Performance: An Evidence Review
This does not invalidate culture. It challenges how confidently we use it.

A Question to Reflect On
If culture is infrastructure rather than intervention, what elements of your organisational system are currently shaping it – intentionally or not? And if you changed those elements first, how might your culture follow?

Further Reading

• Barends, E. & Rousseau, D. (2022). Organisational culture and performance: An evidence review. CIPD
• Chatman, J. & O’Reilly, C. (2016). Paradigm lost: reinvigorating the study of organisational culture.
• Schneider, B., Ehrhart, M., & Macey, W. (2013). Organisational climate and culture.

Part 4: How Strong Is the Culture–Performance Link, Really?

We rarely question the line “culture drives performance” – it feels intuitively true.
This series asks how strongly that claim is supported by evidence. It is for leaders, HR, and OD practitioners who are making decisions about where to invest scarce time, money, and leadership attention. In this part, the aim is to help you calibrate just how powerful culture appears to be compared with other predictors of performance – and what that means for your priorities.

Introduction
We rarely question the statement, 'culture drives performance'.
It is repeated in boardrooms, strategy documents, and leadership offsites. It feels intuitively correct.
But intuition is not evidence. If culture is one of the most powerful drivers of organisational success, we should expect to see a strong and consistent empirical relationship between culture and performance. So what does the research actually show?

The Science
The CIPD rapid evidence assessment reviewed meta-analyses and controlled studies examining the link between organisational culture and performance.

The findings are clear:

• The overall association between culture and performance is moderate to low.
• Across 60 studies, the average correlation is small, approximately 0.16.
• When objective performance measures (such as profitability or revenue growth) are used, the correlation drops further.
• The evidence is inconsistent across different culture types and performance outcomes.

A correlation of 0.16 is not zero, but it is modest. For context, some meta-analyses have found that general mental ability predicts job performance with correlations around 0.50 or higher. In other words, individual cognitive ability shows a stronger and more consistent link to performance than organisational culture does.
That comparison is uncomfortable, because it challenges where we place our attention.

Key Findings
The evidence suggests several important conclusions:

1. Culture correlates with performance, but modestly.
   The relationship exists, but it is not large. Imagine performance differences are represented by a whole pie. Culture explains only one small slice of that pie, about 2–3%. The rest of the pie is made up of many other ingredients.
2. The link weakens with harder measures.
   When performance is assessed with more objective indicators, the culture–performance correlation becomes smaller.
3. Culture is a weaker predictor than some other variables.
   Factors such as general mental ability, aspects of personality, leadership quality, and structural design often show stronger and more consistent relationships with performance. For example, 25% of performance can be statistically explained by cognitive ability
4. The direction of causality is often unclear.
   In some studies, strong performance appears to influence how people describe their culture, rather than culture clearly driving performance.

This does not mean culture is irrelevant, it means culture may not be the dominant lever we often assume it is.
It also highlights a methodological issue. Much culture research relies on cross-sectional survey data. That makes it difficult to establish:

• What comes first.
• What actually causes what.
• How much of the effect is really due to other factors such as leadership, incentives, or talent.

There is limited rigorous intervention evidence showing that deliberately changing culture, in isolation, reliably improves performance.

What Does This Mean in Practice?
If culture’s predictive power is modest, several possibilities emerge for practice. First, culture may be a contextual amplifier rather than a primary engine.  It shapes how other levers – strategy, structure, leadership, talent – play out day to day. Second, culture may interact with other predictors rather than operate independently. For example, good leadership might have more impact in enabling conditions of psychological safety and trust. Third, we may have under-invested in other organisational-level predictors of performance.
The wider research literature suggests paying close attention to:

• Leadership quality and consistency.
• Decision-making structures and speed.
• Incentive and reward alignment.
• Selection and talent density.
• Performance management systems.
• Cognitive diversity.
• Role clarity.
• Fairness and justice perceptions.

It is entirely plausible that some of these variables account for more variance in performance outcomes than culture itself, yet we often default to culture as the headline explanation. This is not a call to abandon culture but a call to rebalance our attention. If you are serious about performance, you may need to:

• Invest more in understanding structural predictors.
• Examine how culture interacts with systems rather than treating it as a stand-alone fix.
• Be cautious about bold claims that “culture drives results” without specifying how much and through which pathways.

If You’re a Leader or HR Practitioner, Try This Week
To translate this into action, you can reassess where you focus effort:

1. List your current “performance levers”.
   Write down the main initiatives currently justified as “improving performance” (for example, culture programmes, leadership development, incentive redesign, role clarity work). Mark which ones are explicitly framed as culture work.
2. Estimate impact, then challenge your estimate.
   For each initiative, privately rate (on a simple 1–5 scale) how much impact you expect it to have on performance in the next 12–24 months. Then ask: if culture’s direct effect is modest, where might structural or leadership changes deliver more impact for the same effort?
3. Reframe one culture claim.
   Take a statement like “we need to transform our culture to hit our targets” and rewrite it more precisely, for example: “We need clearer decision rights, better frontline leadership, and aligned incentives to hit our targets; over time, consistently doing this will shift how people experience our culture.”
4. Run a “what else matters?” exercise with your team.
   In a leadership or HR meeting, pose the question: “If culture is only one of several modest predictors of performance, what other variables in our organisation might deserve equal or greater scrutiny this year?” Capture the list and compare it to your current agenda.
5. Design one system experiment before a culture campaign.
   Before launching a broad culture initiative, pick one concrete system element (for example, how promotions are decided, or how projects are resourced) and run a small, evidence-informed experiment there. Observe whether performance and people’s experience shift, without labelling it a “culture” project.

These steps do not deny that culture matters. They help you place culture in context and avoid overclaiming what culture work alone can deliver.

A Quote to Reflect On
“The association between organisational culture and performance is moderate to low.”
— Organisational Culture and Performance: An Evidence Review

A Question to Reflect On
If culture is not the strongest predictor of performance:
What other variables in your organisation might deserve equal – or greater – scrutiny?
If you can name them, your next strategic decision may be to rebalance where you invest effort: treating culture as important context, not the only story.

Further Reading

• Barends, E. & Rousseau, D. (2022). Organisational culture and performance: An evidence review. CIPD
• Chatman, J. & O’Reilly, C. (2016). Paradigm lost: reinvigorating the study of organisational culture.
• Schneider, B., Ehrhart, M., & Macey, W. (2013). Organisational climate and culture.