Hey everyone,
A pattern I keep running into with hiring teams is that AI has quietly moved the bottleneck rather than removing it. Most teams brought in AI screening to cut down time spent on early-stage review, and on paper, it does. The volume gets processed faster, the shortlist arrives sooner, and the first reaction is that the funnel has finally been fixed.
What actually happens is that the work shifts to a stage where it costs more. When the screening logic rewards how well an application is structured, the shortlist starts reflecting application quality rather than capability. So the hiring manager spends interview time doing the verification the screen was supposed to handle, and that is the most expensive time in the entire process to be spent on filtering.
The part that surprised a few teams I have spoken to is that faster screening made their hiring slower overall, because every weak signal that got through early had to be caught later by a person. The tool was doing its job, but the job it was doing was not the one that needed doing.
Curious where this sits for your teams. Has AI screening genuinely reduced your hiring load end to end, or has it mostly moved the effort somewhere less visible?