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Product Management in the Age of Fast. The Expectation Problem.

Organizations are taking the cases where building got easier and generalizing the feeling across all deliveries.

AI as friction-remover

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Last time I argued that speed made product management more necessary, not less, and that the work now lives in three gates: what to build, building it well, and whether it landed.

I still believe that. But there is a harder problem underneath the gates, and no gate solves it.

When proving an idea was slow, only a few ever reached 'worth-building' status. The cost did your triage. Now that proving is cheaper, you get far more good (and tangible) ideas than before, all pointing at an organization that can only finish a few at a time.

That gap, between what you can prove and what you can ship, is not a discipline problem. It is how the organization is built. And most were built for when good ideas were scarce, not when they are everywhere.


Organizations are taking the cases where building got easier and generalizing the feeling across all deliveries.


An idea that would have cost a quarter to prove now takes days. Something that needed a team, a roadmap slot, and a budget line to even find out if it was worth doing can now be time-boxed, stood up, put in front of real users, and killed or kept before the next standup. Most people who build things have felt this lately. It is real, and it is strange.

The easy conclusion is that building software got easy. That is the version you hear at conferences and read in launch posts. That is the unrealistic expectation leadership now has. But it is wrong. Building secure, reliable, scalable and maintainable software is exactly as hard as it was. Nothing about that changed.

What got easy was finding out whether the solution is worth building at all. Not building it but deciding if it's worth building. Those are two different problems, and only one of them got simpler.

That is the clean version, but I must admit, it is a little too clean.

It is not equally true for everything you might build. Some solutions did get faster to build, not just faster to prove. A straightforward internal tool, a workflow that mostly wires together things that already exist, a thin layer on top of a model that does the actual work - those genuinely got easier to stand up, not just easier to validate. For that category, the two problems really did move closer together.

But that is exactly where organizations get themselves in trouble. They take the cases where building got easier and generalize the feeling to everything. If a prototype came together in a mere few days, the assumption becomes that the real thing is a few weeks away too, and that the boring parts - compliance, governance, the operational weight of running something people depend on - take care of themselves. They do not. Proving an idea and being allowed to ship it to real customers are still separated by everything that made shipping hard in the first place.

Which brings it back to leadership, because this is where the gap actually hurts. Leaders saw the prototypes. They watched an idea go from nothing to a working demo in a week, and they recalibrated. The new expectation is that everything moves at that speed now. So when a proven idea takes two quarters to ship for real, it does not read as normal. It reads as the team being slow.

It is not slow. It is the part that was always slow, standing out quicker because the part in front of it got fast.


Organizational problems do not respond to being told to hurry up.


The reflex is to push harder on speed. The more useful move is quieter and less satisfying: to look at how the organization is actually built to deliver things - who decides what gets finished, where work stalls, what the path from proven to shipped even is - and treat that as the thing to design, not the thing to blame. Getting from proven to shipped is an organizational problem now, and organizational problems do not respond to being told to hurry up.