AI for Leaders in 2026: Promoted or Replaced?

Episode #407 AI for Leaders in 2026: Promoted or Replaced?

Have you ever sat in a meeting where everyone’s talking about AI, and you’re nodding along like you’re all over it, while inside you’re thinking, “I’ve got no idea what they’re talking about, and I’m the one who’s supposed to be leading this”?

If that’s you, good. At least you’re being honest. And you’re in better company than you might think. 

Right now, all over the world, there are thousands of decent leaders sitting in those exact same meetings, feeling exactly the way you do. They just won’t admit it.

Your predicament is tough. The orders are already coming down from above: Get AI in; Do more with less; Cut costs; Make it work… somehow. 

But no one’s telling you how. And let’s be honest, it’s unlikely your boss understands much beyond the broadest of brushstrokes either. Then you turn around, and half your team is refusing to touch AI because they reckon it’s coming for their jobs.

And quietly, in the back of your mind, you’re wondering the same thing about your own job.

You’ve spent 20 years getting good at what you do. Now you’re being told that some tool you don’t understand is the future. Not you. Not your judgment, your knowledge, or your leadership. I’m going to challenge that, because here’s what I actually think, and it’s not what the hype merchants are selling.

You don’t need to become a techie

You don’t suddenly need to become tech-savvy: you just need to do the thing leaders have always been hired to do: 

Take the people, the money, the systems, and the tools you’ve been given, and use them to create the most value you possibly can for your company.

That’s been the job since the Industrial Revolution, when people and machines first had to work together to produce a better result. The challenge back then was simple to say and hard to do: How do I get my people to work with this expensive new machine I’ve just bought, and get a result out of it? 

Guess what? That’s still the job today. The “machine” just got faster, cheaper, and a lot more capable.

So, let me say this as plainly as I can: AI is not coming for all leaders. It’s coming for those leaders who live in the low-level detail of their people’s work: the ones who think technical skill matters more than leadership; the ones who never worked out how to combine the tools, the systems, and the information with their people to get a better result. 

If you can work out how to get that right, AI won’t replace you. It’ll make your leadership 10 times more effective. Get it wrong, and there’s nowhere to run and nowhere to hide.

The leaders most at risk

Here’s the uncomfortable bit. Ask yourself a hard question: If 80% of what I do is technical work, and that technical work can be done by a machine, do they really need me for the other 20%?

If you’re a leader who’s still doing the work of the people below you, you’re exposed… big time! And it’ll become obvious fast, because the moment the technical work gets automated, everyone can see whether you really know how to lead, or whether you were just the most senior person doing the doing.

We’ve banged on about this for years in Leadership Beyond the Theory. Work at the right level… don’t dip down into the detail that belongs to your team… find the value… hold people accountable for delivering it (or, as may be the case, hold your AI agents accountable for delivering it).

The leaders who are hyper-effective at marshalling their resources and multiplying what they’ve got, the ones who can turn a pile of bits and pieces into something valuable, they’re the ones who’ll be in demand. 

They’re the ones getting promoted. That hasn’t changed. AI just makes the gap between them and everyone else brutally obvious.

So, what do you actually do?

Here’s where I’d start.

1. Map your work before you automate anything.

There’s a great book called The Algorithm by Jon McNeill, a former president of Tesla. One of his rules is: automate last.

Don’t automate until you understand the process so deeply that automating it is just the obvious next step. Most businesses do the opposite. They’re automating first, chasing shiny objects off social media, throwing things at the wall to see what sticks. That’s why James reckons nine out of 10 AI projects fail.

So do the unglamorous work first. Map out your day for two to four weeks. Every step, not just the billable stuff. That gives you a piece of data most leaders never have. Then you can see clearly what’s repeatable grunt work, and what really needs you.

Automate the stuff you don’t enjoy first: the repeatable tasks that drain you. Keep the work that gives you energy. Because if you enjoy your day, your people feel it, and they bring that energy too.

2. Treat AI like an over-enthusiastic intern.

This was my favourite thing James said. AI is like an intern with access to almost unlimited information. It’s wildly enthusiastic. It’ll give you 10 answers before you’ve finished the question. But it has no real-world experience. It doesn’t know what good looks like, and, even worse,  it desperately wants to please you.

So, keep your bullsh!t detector switched on. AI is the ultimate people-pleaser. It’ll tell you your idea is brilliant whether it is or not. Your job is to bring the judgment and the years in the field, so you can tell whether the answer is actually right or just what you wanted to hear.

One simple trick: play the models off each other. Get an answer from one, then run it through another and ask it to pull it apart. They love proving each other wrong. 

For example, ask Claude a question, then feed the answer into ChatGPT, with a prompt that says, “Clause told me this… is that actually right?”

That’s not a tech tip. That’s “trust but verify”, and it’s a leadership principle.

3. Lead AI inward. Lead people outward.

This is the line I keep coming back to. Leading AI has an inward focus. It’s about you. Your clarity, your judgment, your ability to say exactly what you want, and tell whether what you got back is any good. The thinking and the decision-making happen inside your own head.

Leading people is the opposite: it’s a very outward focus. You’re watching how they behave, what drives them, how far you can stretch them. That takes real empathy and human connection. They are very similar skills, but one you turn inward, the other you turn outward. The leaders who muddle the two will struggle with both.

4. Push back on the mandate.

A lot of leaders don’t get a say in the AI strategy. They just get handed a tool and an unrealistic expectation from someone two levels up who doesn’t understand it either. You have to work out how to push back on that. Not aggressively; constructively.

Something like: “My job is to capture the most value I can with the team and the resources you’ve given me. Here’s where I think these AI tools will get us traction, and here’s what I need from you.” That’s managing up. That’s having the harder conversation. And it’s never been more important, because the expectations coming down have never been more inflated.

5. Move first.

You can prototype an idea now for one or less than $2,000 that used to cost $50,000 to $100,000. So you can walk into that conversation with your boss holding real proof, not just a hunch. The leaders who can make a good decision quickly, while everyone else takes a wait-and-see approach, have a genuine edge. Not just for the company. For themselves. 

This is your chance to become the person in the building who actually knows how to use the capability of the AI tools to create value.

The window is open right now

Here’s the part I want you to consider. The opportunity is right now. I don’t think there’ll be a better one in our working lives. 

The people who bury their heads in the sand might hang on for a while. Some will lose their jobs. But the people who take action will move up the rankings.

It’s still an adoption curve, like every wave of change before it. It’s just flatter and faster. The leaders who can work inside the ambiguity, make no-regrets moves, and keep their people steady while everyone else freezes… that’s gold.

None of this requires you to become a technologist. It requires you to be a good leader. To get the fundamentals right. Understand where the value is. Isolate it. Communicate it. Put it on a work program. Then make sure it gets delivered, whether the work is done by a human or an agent.

If you’re a genuinely good leader, the AI age is going to make you 10 times more effective. If you’ve been getting away with not leading well, there’s nowhere left to hide. The job is the same as it was 20 years ago. The machine just got faster, and they hype just got louder.

If you’ve been sitting on the fence about Leadership Beyond the Theory (LBT), telling yourself you’ll do it once things settle down, let me save you some time. 

Things aren’t going to settle down. 

There’s always another fire; another restructure; another quarter where you’re the meat in the sandwich.

Everything I’ve written here rewards the leaders who move first. 

The June cohort is open now, but doors close Friday, 26th June. After that, the next intake isn’t until October. That’s four more months of doing exactly what you’re doing right now, while the world keeps moving… quickly!

More than 2,800 leaders from all over the world have done LBT, and 99% recommend it. 

It comes with a 100%, no-questions-asked money-back guarantee, so the risk is on us, not you. 

Nine weeks to promotion-ready leadership. Head to leadershipbeyondthetheory.com or hit the link below.

ENROL NOW!