> I've seen significant uptake of AI tooling where possible.

Uptake is orthogonal to productivity gain. Especially when LLM uptake is literally being forced upon employees in many companies.

> I do absolutely see them reducing a lot of ancillary work that is associated with the developer lifecycle.

That may be true! But my point is they also create new overhead in the process, and the net outcome to overall productivity isn't clear.

Unpacking some of your examples a bit --

Better code and documentation search: this is indeed beneficial to productivity, but how is it an agentic workflow that requires individual developers to adopt and become productive with, relative to the previous status quo?

Documentation generation: between the awful writing style and the lack of trustworthiness, personally I think these easily reduce overall productivity, when accounting for humans consuming the docs. Or in the case of AI consuming docs written by other AI, you end up with an ever-worsening cycle of slop.

Automating low sev ticket triage: Potentially beneficial, but we're not talking about a revolutionary leap in overall team/org/company productivity here.

Low sev customer support: Sounds like a good way to infuriate customers and harm the business.