Your team doesn't need an all-knowing leader. They need a transparent learner.

As leaders, watching everything change around us at a breakneck pace can be overwhelming. It’s easy to feel daunted by how our organizations need to change; it is much harder to consider how we, ourselves, need to adapt. But adapting isn't just vital — it’s exactly how we’ll find our footing amidst the swirl of transformation.

If you are already seeing how AI is reshaping your team's routines, you have probably realized that many of the skills and mindsets that served us in the past are no longer useful.

Not the most comfortable realization, is it? After all, our trusty defaults got us this far.

It reminds me of the crew in Apollo 13. When their spacecraft was damaged, they had to move into the lunar module as a makeshift lifeboat to survive the trip around the moon. It literally saved their lives. But because it didn’t have a heat shield, they couldn't stay in it. To make it back to Earth, they had to cut loose the very thing that kept them alive up to that point.

In the AI era, we are at a similar inflection point, where what protected us in the past often needs to be left behind to make progress. Our value is no longer tied to being the ultimate expert with all the answers. To unlock the potential of our teams — and build deep trust — we need to let go of legacy ways of doing things.

Many of us built our careers by becoming domain experts, directing execution through proven routines. But that approach faces clear limits in a high-velocity environment. Because AI has made it effortless to generate content, there is a daily abundance of noise. Trying to vet every single thing or act as the all-knowing expert risks turning you into a massive bottleneck. (And an overextended one, at that!)

The most common trap is thinking we can layer new AI tools on top of legacy workflows and call it a day. That’s like buying a modern, lightweight roller suitcase and then lugging it by the side handle through the airport. Cramming high-velocity tools into outdated processes just creates friction and leads to team burnout.

To lead effectively today, the real challenge is about continuously evolving the engine to build a fluid workplace where humans and technology actually complement each other. Adapting to the AI era requires making shifts at three levels: individually as leaders, collectively with our teams, and structurally across our systems.

Three leadership shifts for the AI era

To change how we do things against a changing backdrop, here are three adjustments we can make:

1. At the individual level: From expert to sense-maker

Why it matters: The volume of information available today can leave teams feeling overwhelmed. Instead of trying to act as an all-knowing expert with turn-by-turn directions, leaders need to be dot connectors and signal readers. The role is not to filter out the static, but to help teams interpret that noise, understand why it exists, and use it as fuel for direction.

What to try this week: Protect dedicated "sense-making" time on your calendar to zoom out, look at a wider set of external inputs, and map how shifting trends connect to your team's current focus.

2. At the team level: From trust in certainty to navigating uncertainty

Why it matters: In more predictable times, trust was built on stable roles and consistent routines. Today, certainty isn't a realistic goal. Projecting absolute certainty can inadvertently erode trust rather than bolster it — as change surges past us, teams quickly recognize that unyielding claims of certainty rarely match reality. Rather than trying to eliminate uncertainty, leaders must foster a collective comfort in proceeding through it. This requires a different way of showing up — like being willing to stand under the spotlight and transparently say, "I don't have the answer to that yet, but here is how we will figure it out together."

What to try this week: Dedicate a segment in your next leadership meeting to address an area of uncertainty openly. Practice leading with transparency about what is known, what is unknown, and how the team can move forward regardless.

3. At the system level: From process manager to organizational architect

Why it matters: Optimizing performance within legacy ways of working is an outdated approach. If we don't update our underlying systems, adding AI to the mix just creates new bottlenecks instead of solving them. As architects, leaders need to actively reshape workflows, align evolving incentives, and design a fluid environment where humans and technology truly complement one another.

What to try this week: Look for areas where information or workflows are trapped between disconnected tools. Instead of waiting for a top-down fix, empower your team to build their own scrappy, immediate integration solutions to bridge the gaps.

Looking ahead

Let’s remember: this rapidly changing landscape is shifting under our teams' feet, too. If we are feeling the strain of letting go of old habits, our people are undoubtedly experiencing that same friction. Today, leadership is more about asking good questions than providing answers.

In the AI era, our teams don't need us to be all-knowing. What they need is transparent learners, working right alongside them to architect a future that we’re building together. By openly sharing our own learning curves, we give our teams the permission and confidence to navigate the unknown right alongside us.