When AI makes building faster, the question that used to live at the end of a sprint moves to the beginning: should we be building this at all?
I have been thinking about this since a conversation with the SeventyOne team. We were working through what is actually changing for organisations as AI accelerates delivery capacity. The answer surprised me in its simplicity: the constraint is shifting.
For years, the bottleneck in product was execution. You had an idea, you knew roughly what to build, and the challenge was getting it built well and shipped fast enough. Teams optimised for throughput. Roadmaps were full. Velocity was the thing people measured.
When building becomes genuinely fast, that changes. You can still fill the roadmap. You can still ship. But the gap between shipping something and shipping the right thing widens, and it becomes harder to hide.
The teams I see struggling are not struggling because they cannot use the tools. They are struggling because the tools exposed a gap that was always there: no reliable way to find the right problem before building the solution.
This is good news for product management. It means the work that always mattered — problem definition, discovery, deciding what not to build — is becoming harder to skip. Speed makes it visible.
The question is whether organisations will slow down enough at the front end to take advantage of that.