The Role of a Manager in the World of AI

A big-tech client based in Bangalore once asked me to facilitate a workshop to help their managers explore their role in a world of AI. They wanted to use LEGO® Bricks to build what they might not yet say in words… the kind of question that requires a different language to approach.

As I worked on the workshop design, I started to look more deeply at the traditional role of managers. For a long time managers existed to reduce uncertainty. They tracked work, made decisions and ensured alignment. If things got unclear, the manager stepped in and fixed it.

But now AI is starting to do all of that! And faster, at scale and sometimes even better. So the question being asked is: “What is the role of a manager in the world of AI?” But that question assumes something important: That the role was clear to begin with. Most management was designed for a world where:

• information was scarce
• visibility was limited
• decisions were slow

Managers filled those gaps. And now AI removes them. So what’s left? The common answer is predictable: Managers will become coaches, they will focus on people, they will build culture…. Yes all that is true, but also not enough.

As I prepared, my mind went back to my time at Syngenta, an agri-pesticide & seeds company. We were often told by our leadership to “hold the ambiguity.” For us, it was not just a philosophy, it was a necessity. We were operating in a system shaped by forces no one could fully control. Agriculture is so dependent on nature and seasonality. Then there is government regulation, currency movements across distributed manufacturing, volatile commodity prices, geo-politics (US-China), shifting consumer preferences towards organic, long-term safety and biodiversity impacts etc.

There was no version of this world where everything became clear. A new government subsidy or EPA rule would change the economics of our business in that country over night. So the role of a manager was not to eliminate uncertainty. It was to work with it without freezing, forcing, or oversimplifying.

That’s the part I think most conversations about AI are missing.

In my view, what managers are being asked to do now… already has a name. It’s called “Facilitation”. Not in the “run a workshop” sense. But as a core leadership capability. Facilitation, at its essence, is the ability to:

• hold a space where multiple perspectives can exist without collapsing too quickly
• surface what is actually happening, not just what is being said
• guide a group toward clarity without imposing it prematurely
• help thinking emerge, instead of replacing it with answers

This is very different from how most managers were trained. Traditional management says:

• reduce ambiguity
• provide answers
• drive clarity

Facilitation says:

• stay with ambiguity
• make thinking visible
• allow clarity to emerge

In an AI-shaped world, that distinction starts to matter, a lot. Because AI can analyse faster, recommend better and execute at scale. But it cannot sense tension in a room, notice what’s left unsaid, help a group confront what it’s avoiding. And that’s where the real work is shifting. In every workshop I facilitate, I see this moment when clarity drops, discomfort rises, people look for direction and the instinct is to step in and resolve it.

But when that impulse is held just a little longer, something beautiful happens.

• Better questions emerge.
• Hidden assumptions surface.
• Real alignment begins.

That’s not accidental. That IS facilitation. The uncomfortable truth is this: Some managers will become significantly more effective in this world. Because they can do this work. Others will struggle, not because they lack intelligence or drive… but because their strength was built on having answers.

AI doesn’t replace managers. It exposes them.

And increasingly, the managers who thrive will not be the ones who know the most, but the ones who can facilitate how thinking happens.

The title of a manager may stay. But the role has already changing. Employees are no longer going to managers for information or expertise, they are looking it up on ChatGPT. AI might not have the best answer but it is faster, always available, broader in knowledge, easier to ask “stupid” questions to and it always uses supportive language.