AI Moved the Bottleneck in Game PM
Execution used to be the bottleneck in game product management: build time, asset pipelines, QA cycles, and release coordination. Getting something in front of players took weeks. With AI tools in the workflow, that gap is collapsing.
The bottleneck didn't disappear. It moved.
Now the slowest part is the decision before the test runs: the hypothesis formation, the "should we even try this?" conversation that used to be justified by the cost of shipping. That conversation now has no real excuse to take three weeks.
A dipstick test that once needed a full sprint to instrument, build, and ship can now be in players' hands in days. The signal comes back faster, the fail-fast loop tightens, and the whole thing only works if the PM can form a directional call quickly enough to use it.
The PM who spends three weeks building a 40-slide research deck before greenlighting a one-week test isn't being rigorous. They're filling the time the process used to occupy with something that feels like work. The data won't be more conclusive at slide 40 than it was at slide 10.
Direction has always mattered more than execution. AI just made the gap impossible to hide.
What's the longest a directional call has sat on your team's backlog before someone just ran the test?
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