Last updated: July 31, 2026

Half of product managers are in trouble right now. The ones in trouble are good at their jobs. They are good at a version of the job that is disappearing.

I have watched this happen twice before. Once in the mid-90s with the web, and again with mobile. Both times, the product managers who moved early became the people who defined what came next. The ones who waited got left behind. We are in the third wave now, and the split this time is sharper than anything I have seen.

I have been in product for more than 20 years. I was the first software PM hire at Sonos and grew with the company through every stage, and I now coach and advise product leaders through exactly this kind of shift. What follows is the pattern I lived through in the last two waves, applied to this one.

One quick clarification, because job boards blur it: this is not about becoming an “AI product manager,” the person who builds AI products. This is about what happens to every product manager now that AI is in the building.

In this article

• Will AI replace product managers?
• What are the two types of product manager in the AI era?
• Which product managers are most at risk?
• How do you shift from moving information to leading?
• What does the product manager who thrives look like?
• What happens when a leader moves too fast with AI?
• Is this a good time to be a product manager?
• Frequently asked questions

Will AI replace product managers?

No. But it is splitting the role in two, and which side you land on matters more than your title or your years of experience. AI is absorbing a large part of what many product managers do all day, and the judgment underneath the job is becoming the scarce, valuable part.

I have written before about whether product managers actually add value. The short version holds up here: the value was always the judgment underneath the coordination.

What are the two types of product manager in the AI era?

There are builders and there are information movers. Builders got into product because they love making things, the direct line between an idea and something a customer can use. Information movers are skilled at coordinating: facilitating decisions, managing the flow of information across an organization, keeping large teams in sync.

This framing comes from Nikhyl Singhal, who spent decades building products at Google, Meta, and Credit Karma and now runs a community for senior product leaders called Skip. His argument, which matches what I saw in the last two waves, is that the next couple of years bring a wave of job cuts followed by a wave of rehiring, and the people hired back will be builders who work AI-first.

Which product managers are most at risk?

The information movers. Status reports, standup summaries, ticket grooming, synthesis across teams: that work is being automated fast. If most of your value is moving information from one place to another, you are now competing with a tool that never sleeps, never loses the thread, and costs almost nothing.

The flip side is the opportunity. Knowing what is worth building, and having the taste to tell good from good enough, becomes more valuable as the cost of building drops toward zero.

How do you shift from moving information to leading?

Start asking why. Before you execute the next request, get curious about the purpose behind it. Why are we doing this? What does success actually look like? Why does this matter?

Do it from genuine curiosity, not challenge. There is a version of this that lands like a four-year-old asking a hundred questions, or a skeptic poking holes, and it makes your manager and your peers brace every time you open your mouth. That is not what you want. Asked from real curiosity, “why” moves you off executing other people’s plans and into shaping the solution. You start seeing alternatives nobody had named yet. That is where judgment begins.

What does the product manager who thrives look like?

A player-coach. Someone who can lead a team and still get into the work: think strategically in one conversation and sit down to prototype in the next. The hands-on credibility is what earns the team’s trust in their judgment, because they have watched them build.

What happens when a leader moves too fast with AI?

You can open up what I call the AI gap. A manager slips into builder mode, starts shipping things with AI at a velocity their team cannot match, and the people who report to them never get the time or the context to build that capability themselves.

The velocity feels great from the top and is punishing from below. Your reports are watching finished work appear faster than they can learn from it. Moving fast is part of the job now. Bringing your team with you is the harder part, and it is the part that separates a leader from a very quick individual contributor. Knowing when to slow down so the people around you can grow into the work is judgment. No tool makes that call for you.

Is this a good time to be a product manager?

For the ones with judgment, it is the best time I have seen. AI is pulling product management back to its roots.

At its best, this job was always understanding customer needs, placing smart bets, and shipping things that create real value. During the hypergrowth years the role drifted toward managing process and holding big teams together. That era is closing. The constraints that used to slow good product people down are lifting: you can prototype and test without waiting on a full team, stand up a small tool in an afternoon, ship in a weekend what once took a quarter.

One of the Directors I coach captured the trap. He had become incredibly productive with AI, and in one of our sessions he realized he had slid into pure execution. He needed a reminder to keep leading, to protect time for the strategic conversations only he could have. That reset is the whole game.

The story is what you choose to build, and whether you can lead people through the building. That has always been the job, and it is finally the only part that matters.

If you are working out how to stay relevant and lead well as this shift lands on your team, that is exactly what I help product leaders do. Book a call.

Frequently asked questions

Will AI replace product managers?

No. It is automating the coordination work and raising the value of judgment. The product managers at risk are the ones whose main contribution is moving information between teams.

Which product managers are most at risk from AI?

Information movers and process coordinators, whose day is status reports, ticket grooming, and syncing teams. That work automates well.

Is product management still a good career, or is the role dying?

The role is splitting rather than dying. The 2026 market moves fast for product leaders with strong judgment and stays quiet for pure coordinators. Good time for one profile, hard time for the other.

What is the difference between a builder PM and an information mover?

A builder is drawn to making things and stays close to the product. An information mover specializes in coordinating decisions across an organization. AI absorbs much of the second and raises the value of the first.

Do product leaders need to learn to build with AI themselves?

Enough to keep their hands-on credibility. You need enough fluency that your team trusts your judgment because they have seen you in the work, without becoming an engineer yourself.

What skills keep a product leader relevant in the AI era?

Judgment above all: knowing what is worth building and why. Then the leadership to bring a team through fast change without leaving them behind.