I think the productivity gain from AI is mostly micro-friction reduction.

Things like generating boilerplate, quick test scaffolding or documentation lookups. Each one is small, but they compound during the day.

That’s probably why it’s hard to capture in traditional studies.

Curious: has anyone seen studies measuring task-level productivity instead of overall output?