David Chung · AI Advisor & Coach for Leaders

Automation replaces your people. Augmentation makes them worth more.

Adoption alone does nothing for performance. The lift shows up when leaders hand the busywork to AI and put that time back into their people. I rebuilt my own business that way first, then started helping leaders do it with theirs.

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The Problem

The tool-first rollout is failing.

Enterprises poured tens of billions into AI last year. MIT found 95% of those projects returned nothing, because the rollout had no plan. More than half of employees admit some of what they now send out could be AI “work slop.” And usage alone has zero effect on performance.

The tools were never the problem. The rollout was: a big truck dropped on the team with a note that says “figure out how to drive it.”

“Will I still have value?”

The Internal Problem

It’s the question your people are quietly asking. Brené Brown’s research names fear of irrelevance as the number one feeling at work in times of change.

And the part leaders rarely admit: you’re carrying the same question while convincing everyone else of the answer. I know what it’s like to lead people through a change you’re still metabolizing yourself.

The Data

Your people aren’t the trade-off. They’re the mechanism.

BetterUp and Stanford put numbers on it. AI adoption alone is flat on performance. The people who treat AI with agency, not the ones who simply have access to it, are 3.6x more productive than the ones who don’t. What produces that agency is a manager who coaches, not one who only deploys.

The people investment is what decides whether AI creates value in your company or quietly destroys it.

3.6x More productive when people own it

95% Enterprise AI pilots that returned nothing

0 Effect of usage alone

Why Me

I’ve held both ends of this problem.

I rebuilt my own business on a team of AI agents. They research, build, write, and follow up while I do the thinking. So what I bring you is a working model I run every day, not a theory.

Before that, more than a decade inside Global Coach Group and the Marshall Goldsmith world, building the technology that ran the place that trains many of the world’s top executive coaches. That is both ends of this problem in one career. The tools, and the people who need to feel like the work is still theirs. The second part is what most rollouts miss, and it’s the part I help you get right.

When the build gets heavy, my team at KyberFive ships the systems while I stay focused on you and your people.

David Chung, AI advisor and coach for leaders, photographed in Seoul

David Chung · Seoul

The Proof

Easy is the whole point.

Leverage is what happens when AI makes a hard thing easy. One coaching client’s long-form content used to eat days. Now it’s easy, and their LinkedIn impressions are up more than 3,000%.

Another started hearing it in the room, in how the people around her responded to her work. AI didn’t replace either of them. It gave them more range.

The Work

Coach AI into the team.

Diagnose.

Find where the work dies in your organization, and where your people actually are with all of this.

Blend.

Design the human-plus-AI operating rhythm. What gets handed off, what stays human, and the governance around it.

Embed.

Coach AI into the team, manager by manager, with feedback loops. Less a rollout, more a practice.

Two curves.

The automation path wins early and erodes the moment people sense they’re being replaced. The augmentation path starts slower and compounds.

The difference isn’t in the boardroom. It’s a thousand small decisions your managers make every day about what goes to AI and what stays human. The question is whether anyone is coaching them through it.

Start with one conversation.

Thirty minutes. We find where work dies in your organization and what an AI teammate built for that gap would change. No deck, no pitch. If it’s not a fit, you leave with a clearer map than you arrived with.