How leaders stay relevant in the age of AI

Recently, a senior leader I coach said something that stopped me for a moment.

“I’m worried I’m going to become irrelevant.”

This wasn’t someone outside the technology sector. Quite the opposite.

“Joe” is the head of sales for an AI-driven SaaS company. His entire organization is immersed in the technology that’s currently reshaping industries. His whole job is to help companies adopt it.

And yet during one of our recent conversations, he admitted something he hadn’t said out loud before.

He worries that everything he learns today could be outdated six months from now.

The pace of change feels that fast.

And, if you’ve been following the headlines, you know his concern is understandable.

Layoffs tied to AI investment and automation are increasing, and many organizations are betting heavily on what the technology may soon be able to do.

But what struck me in that moment wasn’t the technology itself; it was the anxiety I’m hearing from leaders about staying relevant in the face of it.

And Joe isn’t the only one.

In recent months, I’ve heard versions of this same concern from executives across industries:

“Am I learning the right things?”

“What if my expertise stops mattering?”

“How do I keep up when technology keeps moving?”

Underneath those questions is a deeper one: Where does leadership fit in a world increasingly shaped by AI?

These questions matter because anxiety has a way of narrowing our thinking.

Ask yourself: When you think about AI and the future of work, what emotions show up first? Are you spending more time worrying about what might change, or experimenting with how you might adapt?

One framework I often use with leaders comes from Marilee Adams’ Choice Map. It describes two very different ways people tend to respond when uncertainty appears.

The first is the Judger mindset. Judger questions sound familiar to many of us:

What’s wrong with me? What if I can’t keep up? Why does everything feel harder than it used to?

When leaders stay in that space, the result is predictable: stress, defensiveness, and paralysis.

The second path is the Learner mindset. Learner questions sound different:

What can I learn from this? What are the facts versus my assumptions? What small step could move me forward?

The difference between those two mindsets completely changes how leaders respond to disruption.

When Joe and I talked about his concern about becoming irrelevant, we didn’t dismiss the reality of technological change.

AI is moving quickly. Jobs will evolve.

But worrying about the pace of change wasn’t actually helping him adapt to it.

So we shifted the conversation to something much more practical: What would happen if he focused less on whether AI might replace parts of his role, and more on how he could deepen his understanding of it every day?

Not by trying to master everything at once, but by building consistent exposure.

Fifteen minutes a day experimenting with new tools.

Testing where AI could accelerate parts of his workflow.

Paying attention to where human judgment still mattered most.

The goal wasn’t perfection — it was forward momentum.

Because the leaders who stay relevant during disruption aren’t the ones who know the most.

They’re the ones who keep learning long after others stop.

Interestingly, some of the most thoughtful research emerging right now reinforces this point.

Recent work published in Harvard Business Review that caught my eye suggests that AI may not actually reduce the amount of work people do. In many cases, it intensifies it — raising expectations for output, responsiveness, and speed.

Other research is exploring the cognitive fatigue people experience when using AI tools heavily, what some are calling “AI brain fry.”

In other words, the story may be more complicated than simply technology replacing people. Instead, we may be entering a period where the ability to adapt alongside technology becomes the defining leadership skill.

That shift has implications for how leaders approach their own development.

Ask yourself: What would change if you approached AI with curiosity instead of pressure to master it immediately? What small steps are you taking today that might make you more capable six months from now? How might your team benefit from seeing you learn alongside them?

None of us knows exactly how work will evolve over the next few years.

But one thing I’m increasingly convinced of is this: The leaders who remain relevant won’t be the ones who try to outrun technological change.

They’ll be the ones who stay curious enough to evolve with it.

Curiosity may not eliminate uncertainty.

But it does create forward motion — and in moments of rapid change, forward motion is often the most valuable leadership advantage we have.