AI Made Developers Faster. Now Product Managers Have to Catch Up.

AI made developers faster. Now Product Managers are at risk of becoming the bottleneck. Why PMs need to adapt their workflows and use AI to keep up.

Andrew Ng is one of the most influential people in modern AI. At the World Economic Forum Annual Meeting 2026 in Davos he said that in the last 1.5 years AI has already changed how software is built.

For years, product teams had more ideas than they could ship. One Product Manager worked with 4-8 developers. Developers were the bottleneck. With AI, that flipped. Developers work faster. They don't scroll Stack Overflow anymore. GitHub Copilot is a given in most teams. They build features and fix bugs in a fraction of the time.

And – we are not sure if we actually believe him, it sounds to good to be true – but he says that today, their developers come back and ask for more work. And more work. And more work. And their designers and product managers cannot keep up.

Their new ratio is: one Product Manager, one developer. The Product Manager defines specs. The developer builds.

That sounds efficient. And it is. But it exposes a problem.

Product management becomes more and more valuable. But it's also becoming the bottleneck. Developers are AI enabled already. Product Managers often are not. They cannot keep up with the speed. Writing specs, clarifying requirements, answering questions, aligning stakeholders, validating ideas.

Andrew Ng's conclusion is one answer to the problem: we need more product-focused developers. Developers who understand the problem space better and need less guidance. That is a valid approach. Teams should absolutely invest in that.

But it should not be the only approach. This shift is also a reminder for Product Managers.

If developers use AI to move faster, Product Managers need to do the same. Otherwise, they become the bottleneck in a system that finally removed many others.

This is the moment to rethink how you work.

AI does not remove the need for Product Managers. It exposes slow ones. If you want to stay relevant, now is the time to search for what you can do with AI as a Product Managerpick the right tools, and redesign how you work.

Developers already did.

Theresa Hennighausen

About the Author

Theresa Hennighausen

Theresa works on Product Copilot, an AI tool for software product teams. She has seen the product grow from early user interviews to being used by successful product teams. At Prio 0, she works closely with Product Copilot users, gathers feedback, and translates real user needs into practical product decisions. Her focus is on UX, product strategy, communication and designing AI prompts that fit everyday product work.