"Stay in Your Lane."

It might be the most expensive advice an enterprise can give in the age of AI.

I've heard it in different ways over the years.

"That's not your job."

"We have another team for that."

"Engineering owns that."

"Design shouldn't touch code."

For years, those boundaries made sense. Specialization helped organizations scale.

Today, I'm not so sure.

The companies getting the most value from AI aren't asking designers to become engineers or engineers to become product managers.

They're asking everyone to understand enough of the disciplines around them that work keeps moving instead of waiting for another handoff.

Designers understand code.

Engineers understand customer experience.

Product understands systems.

Everyone knows how to use AI to move an idea forward.

That's very different from everyone doing everything.

The challenge is that many large enterprises still operate on processes built around specialization.

Every function has a boundary.

Every boundary creates a handoff.

Every handoff creates delay.

AI doesn't create those delays.

It exposes them.

I've watched teams generate production-ready UI from a coded design system in an afternoon.

The prototype was done.

The customer problem was solved.

Then the work slowed to a crawl while teams debated ownership, approvals, and who was "allowed" to make the next change.

The technology wasn't the bottleneck.

The operating model was.

The bigger risk isn't AI replacing experts.

It's organizations believing expertise no longer matters because AI can generate something that looks finished.

AI doesn't eliminate the need for expertise. It raises the cost of not having it.

Because when anyone can generate an interface, write code, or draft a strategy, the competitive advantage shifts to something else.

Knowing what's good.

Knowing what should never ship.

Knowing when AI got it wrong.

The organizations that win won't necessarily be the ones with the most advanced AI.

They'll be the ones willing to rethink how work moves across teams, while keeping expertise at the center of the decisions that matter.

AI isn't collapsing roles.

It's exposing where organizations were built around handoffs instead of outcomes.

And that might be the biggest organizational redesign of the next decade.