Role Confusion: The One Product Decision AI Still Can't Make, the infographic in this PDF

Product / AI era

Role Confusion: The One Product Decision AI Still Can't Make

AI made building cheap, so everyone started doing someone else's job. The one decision AI still can't make, and why owning it is the product manager's real job.

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Product managers, stop cosplaying as engineers. You're abandoning the one task AI can't do.

The same pattern keeps turning up. Product managers writing code. Engineers redesigning screens. Designers drawing up the roadmap. Everyone doing someone else's job, and the one that's actually theirs goes unowned.

It isn't anyone's fault. AI made building so cheap that everyone started chasing the wrong job. The tools that let a product manager ship a working prototype in an afternoon also let an engineer mock up a new flow, and let a designer sketch a quarter's plan. The lanes blurred. This page is about why that happens, what it costs, and the one decision that still belongs to the product manager.

The standoff in the picture

The image shows three people at a crossroads in a western town, under a sign that points three ways: PM lane, design lane, engineering lane. The one wearing the PM badge is holding code. The one wearing the design badge is holding the roadmap. The one wearing the engineer badge is holding the wireframes.

Each of them is armed and none of them is in their own lane. It's a standoff: everyone watching everyone else, nobody doing the work they were hired for, while the Roadmap and Backlog buildings behind them sit empty.

You don't have to be in it.

Why AI pulled everyone out of their lane

Whiteboard road with three lanes, PM lane, design lane and engineering lane, where each car carries another role's artefact and drifts out of its lane, while an empty pink car labelled the decision sits parked with nobody in it.

When building was expensive, roles stayed separate because the work was hard to cross into. A product manager couldn't ship a feature without engineers. An engineer couldn't produce a polished design without a designer.

AI removed a lot of that friction. Now anyone can generate code, screens or plans that look finished. That's useful, and it's tempting. Building something feels productive. It produces a visible artefact by the end of the day, and it feels like keeping up with AI.

The trouble is that the easy work is easy for everyone, including the AI. Writing code is exactly the kind of task AI keeps getting better at. So a product manager who spends their week coding is competing in the lane where they're least needed and easiest to replace.

The cost of everyone doing someone else's job

When everyone moves into the visible work, the invisible work goes unowned. And in product, the invisible work is the decision about what to build at all.

Teams in role confusion ship a lot and decide very little. Prototypes multiply. Opinions about screens multiply. Nobody has said clearly which problem matters most and what the team is betting on, so the output points in five directions at once.

It also wears down trust. Engineers don't love a product manager rewriting their code. Designers don't love an engineer reworking their screens. Each crossing reads like a small vote of no confidence, and the standoff hardens.

Signs your team is in the standoff

Whiteboard checklist of three warning signs: a list of things to build but no clear statement of the problem, competing versions of the same artefact, and nobody can say in one sentence what the team is betting on.

A few signals show up early. Planning meetings end with a list of things to build but no clear statement of the problem behind them. Reviews turn into debates about implementation details that belong to someone else. Two people produce competing versions of the same artefact in the same week. The product manager's calendar is full of building, and nobody can say in one sentence what the team is betting on this quarter.

None of these mean anyone is bad at their job. They mean the lanes blurred and nobody noticed. The fix starts with the person whose lane is the decision.

The one decision AI still can't make

Comic of Nicola alone at a blank whiteboard with a marker while her team waits behind her, a sticky note on the board reading It's deciding what's worth betting the team's time on.

There is one decision AI still can't make for you. It happens before there's data. Before there's a prototype. Before a customer has said a word. Before there's code.

It's deciding what's worth betting the team's time on.

That call is made with incomplete information, about a future nobody can measure yet, and someone has to own it with their name on it. AI can help you research, summarise and test. It can't carry the accountability for choosing where a team spends its next three months. That's the product manager's job.

The people pulling ahead didn't become better engineers. They became harder to replace, by owning the call nobody else in the room is positioned to make.

How to own your lane again

Start by noticing where your week goes. If most of your hours are spent producing artefacts someone else is better placed to produce, that's the signal to step back.

Then do the work that only your lane can do. Write down the problem the team is solving and why it matters now. Name the bet: what you expect to happen and what would prove you wrong. Decide what the team will not do this quarter, and say it out loud. Use AI to speed up your research and testing, so you get to a better decision faster, not to produce code that isn't yours to write.

Building a quick prototype to test an idea is still fine. The point isn't that product managers must never touch a tool. The point is that the prototype serves a decision, and the decision is yours.

Questions people ask

Should product managers learn to code in the AI era?
Understanding how software is built helps, and building quick prototypes to test an idea can be useful. But coding isn't where a product manager adds the most value, because it's the work AI is getting best at. The product manager's distinctive job is deciding what's worth building before there is data, code or a prototype.
What is role confusion in product teams?
Role confusion is when team members take over each other's work: product managers writing code, engineers redesigning screens, designers setting the roadmap. AI made it easier because anyone can now produce code, designs or plans that look finished. The result is lots of output and unclear ownership of the core product decision.
What is the one thing AI can't do for a product manager?
Decide what's worth betting the team's time on. That decision happens before there's data or a prototype, it rests on judgement about an uncertain future, and someone has to be accountable for it. AI can support the research and testing around it, but it can't own the call.
How do product managers stay valuable as AI takes over tasks?
By moving towards the work AI can't own: framing the problem, choosing the bet, saying what the team won't do, and taking accountability for the call. Product managers who spend their time producing artefacts AI can also produce are easier to replace than those who own the decision behind them.
What is the difference between a product manager, a designer and an engineer?
Broadly, the product manager decides which problem is worth solving and what the team bets on, the designer shapes how the solution works for the people using it, and the engineer decides how to build it well. AI tools let each role produce the others' artefacts, but the accountability for each decision still sits in its own lane.