Experience Meets Intelligence

Post 1: The Experienced Leader’s AI Advantage

I’ve spent most of my professional life learning how to make better decisions.

Some lessons came from classrooms, mentors, books, and professional development.

Most came from experience.

• Mistakes.

• Difficult conversations.

• Budgets that did not work exactly as planned.

• Personnel decisions that looked simple on paper but became complicated once people were involved.

• And situations where the information was incomplete, but someone still had to make the call.

The Army taught me that lesson early:

You can train, prepare, and build contingency plans.

But eventually, circumstances change.

Then judgment matters.

Now, after decades of developing that judgment, I have access to a tool that can analyze information, generate alternatives, challenge assumptions, and make recommendations in seconds.

Artificial intelligence.

That raises an important question for experienced leaders:

Does AI make all those years of experience less valuable?

I believe the opposite is true.

Experience may be one of the greatest advantages a leader can bring to AI.

AI Knows a Lot. It Hasn’t Lived Much.

AI can process an extraordinary amount of information.

But information and wisdom are not the same thing.

AI has never watched a talented employee struggle and wondered whether that person needed accountability, encouragement, coaching, or simply time.

It has never sat in a boardroom knowing that the financially optimal answer might not be the right organizational decision.

It has never carried the consequences of a decision home at night.

Leaders have.

Leadership rarely happens in perfectly organized spreadsheets or clearly defined scenarios.

Leadership happens in the gray.

And the gray is where experience matters.

The Advantage Isn’t Knowing More

When I first began seriously using AI, I approached it the way many people do.

I asked questions.

I requested information.

I used it to draft something faster or organize my thoughts.

Useful? Absolutely.

But over time, I found something much more valuable.

AI became more useful when I stopped asking only for answers and started asking it to challenge my thinking.

What am I missing?

What assumptions am I making?

Make the strongest argument against my recommendation.

What risks have I underestimated?

What question should I be asking that I haven’t asked yet?

That is where experience and artificial intelligence begin to complement each other.

AI can explore possibilities quickly.

Experience helps determine which possibilities actually make sense.

Experience Creates Context

AI needs context.

A recommendation that sounds excellent in theory may be completely unrealistic inside a particular organization.

An experienced leader understands the history, culture, personalities, constraints, timing, and past failures that may never appear in a prompt.

We also understand the difference between what an organization can do and what it is actually ready to do.

Those lessons accumulate slowly.

Sometimes painfully.

That experience becomes the lens through which AI-generated recommendations should be evaluated.

Without that lens, a sophisticated answer can still be the wrong answer.

Curiosity Still Matters

One of the benefits of experience is realizing how much we still do not know.

Early in a career, it is easy to believe leadership means having answers.

Experience teaches us the value of better questions.

That makes curiosity incredibly important in the age of AI.

You do not need to understand every technical component of artificial intelligence to use it effectively.

You need to be willing to explore.

Ask.

Challenge.

Question the answer.

Try another angle.

Then apply judgment.

That is leadership work we already know how to do.

Experience Can Become a Liability Too

There is another side to this.

Experience can make us overly confident.

We have seen similar situations before.

We have developed instincts.

Most of the time, those instincts serve us well.

But sometimes experience becomes confirmation bias dressed up as wisdom.

That is another reason I find AI useful.

Used correctly, it can push against my thinking.

Not because the machine is wiser.

But because it can force me to examine whether my reasoning is as strong as I think it is.

That requires humility.

The willingness to say:

I may be wrong. Show me what I’m missing.

I Don’t Want AI Agreeing With Me

I already know how to agree with myself.

I want AI to make me think.

Expose gaps.

Offer alternatives.

Challenge assumptions.

Help me prepare more thoroughly before I walk into the room where the real leadership happens.

Because ultimately, AI does not make the decision.

I do.

And I own the consequences.

That responsibility has not changed.

The Tools Are Changing. Leadership Is Not.

I have watched technology transform the workplace throughout my career.

Email changed communication.

Smartphones changed availability.

Dashboards changed access to information.

Now AI is changing how we analyze, communicate, and work.

Some leaders will resist it.

Others will embrace it so completely that they surrender too much of their own judgment.

Neither extreme makes sense to me.

Use the technology.

Learn from it.

Challenge it.

Let it challenge you.

But never confuse faster answers with better leadership.

The future of leadership will not belong simply to those who know the most about artificial intelligence.

It will belong to those who know how to combine its capabilities with something technology cannot manufacture overnight:

Experience. Judgment. Character. Relationships. Wisdom.

AI can accelerate our thinking.

Experience must still guide our judgment.

Backroads Reflection

As you use artificial intelligence, ask yourself:

Am I using AI to give me answers—or to become a better thinker?

That difference may determine whether AI simply makes us faster or actually makes us better leaders.

Go Be The Reason.