Leadership in a Changing World

Introduction

Artificial intelligence is prompting many of us to ask important questions.

How will it affect my job? My organization? My industry? Will the skills and experience I've accumulated remain valuable? What should I be doing differently?

These are reasonable questions. AI's potential implications extend well beyond the applications we use today.

But significant change is not new.

The internet transformed communication, commerce and access to information. Financial crises challenged institutions and established assumptions. COVID-19 disrupted working arrangements and accelerated changes that might otherwise have taken years.

Changes also arise within our own lives and careers: new assignments, promotions, relocations, different teams and evolving responsibilities.

Some arrive suddenly. Others develop gradually, almost unnoticed.

AI may prove different in its scale, speed and consequences. But it raises a familiar challenge.

When the world around us changes, how do we determine whether we need to change with it?

The Issue

Organizations devote considerable attention to understanding their environments.

We monitor competitors, customers, markets, technology, regulation and performance. We ask what is changing, which opportunities may emerge and what risks require attention.

But how consistently do we apply that same discipline to ourselves?

Are we keeping our knowledge current? Do we genuinely understand the developments we're assessing? Are we listening to people whose experiences differ from our own? Are our established assumptions and methods still appropriate?

This raises an interesting paradox.

Experience is one of our greatest assets. It develops judgment, perspective, confidence and the ability to act when information is incomplete.

Yet the approaches that made us successful can sometimes make us less receptive to alternatives.

We may become comfortable with familiar methods, mistake confidence for understanding, or identify development needs in others more readily than in ourselves.

And not every important change is obvious. Some emerge through subtle shifts in customer behavior, employee expectations, relationships or performance.

Recognizing those signals requires observation, listening and sensitivity—qualities not always associated with traditional images of strong leadership.

Recognizing when we ourselves need to change may be harder still.

Our Perspective

We believe experience remains enormously valuable. But its value depends partly on how we continue to use it.

Lessons accumulated through previous roles, successes, failures and relationships help us interpret unfamiliar circumstances. They also influence what we notice, which opinions we trust and what we dismiss.

That is why curiosity, attentiveness and self-reflection matter.

They are not alternatives to conviction or decisiveness. They help us exercise those qualities with better judgment.

Our own exploration of artificial intelligence provides a practical example.

Like many people, we began by becoming familiar with applications such as ChatGPT and Claude. But we wanted to understand more than the tools visible on our screens.

What made these capabilities possible? What might constrain their development? How did computing capacity, energy, infrastructure, investment and other forces fit together?

Those questions led us to develop our perspective on The AI Ecosystem, examining Intelligence, Compute, Energy and the wider forces shaping their development.

The exercise did not give us every answer. It gave us a broader understanding of the subject, better questions and a clearer appreciation of what remained uncertain.

It reinforced a useful distinction:

Familiarity with a subject is not necessarily the same as understanding it.

But complete understanding isn't always possible—or necessary—before taking action.

We make judgments with the information available, recognizing that our conclusions may be imperfect and that new evidence may require us to reconsider.

The same principle applies beyond AI.

A successful salesperson promoted to management may discover that developing others requires different capabilities from personally winning business. A branch manager taking responsibility for several locations may need to lead through other managers rather than rely on direct daily observation.

Their experience remains valuable. Their responsibilities have changed.

Effective leadership requires recognizing what the new circumstances demand—not automatically relying on the approaches that previously worked.

Sometimes we need to learn a new skill or technology. Sometimes we need to listen more carefully, delegate differently or challenge an assumption.

And sometimes, after considering the alternatives, we may conclude that an established approach remains the right one.

The objective is not change for its own sake. It is remaining sufficiently attentive, curious and self-aware to make informed choices about what to preserve, what to reconsider and what to develop.

That takes conscious effort.

It is easy to say that leaders should remain adaptable. It is harder to recognize our own limitations, invite disagreement, make time to learn and change familiar behavior.

Experience can strengthen our judgment. But it should not bring our learning to an end.

Questions Worth Exploring

As AI prompts us to reconsider the future, perhaps we should examine not only the world around us, but also ourselves.

What is changing in my environment—and how do I know?

Which of my judgments reflect current understanding, and which rely primarily on past experience?

Who am I listening to, particularly when their perspective challenges my own?

What am I actually doing to learn, test my assumptions and adapt where necessary?

Different circumstances will call for different responses. We do not need to embrace every new technology or continually reinvent ourselves.

Nor will we always get our judgments right.

But uncertainty need not prevent us from learning, deciding or acting. What matters is remaining willing to reconsider as circumstances and evidence evolve.

We regularly ask whether our organizations and teams are prepared for change. When did we last apply the same scrutiny to ourselves?