The Real Bottleneck - We keep adding AI to recruiting with the assumption that faster recruiting ...The Real Bottleneck - We keep adding AI to recruiting with the assumption that faster recruiting ...
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The Real Bottleneck -
We keep adding AI to recruiting with the assumption that faster recruiting activity will produce faster hiring.
I'm increasingly convinced those are two different problems.
AI has dramatically improved how quickly I source, review applications, research, schedule, and communicate with everyone I engage with every day - full stop.
But many of the hiring problems I see happen somewhere else:
The role wasn't calibrated properly.
The team never clearly defined what “good” looks like.
Interviewers are measuring different things.
Feedback takes days or weeks (sound familiar?)
Every stakeholder gets another interview because nobody is confident enough to make the decision.
Automating that system doesn't solve the underlying problem. In some cases, it just gets candidates into the bottleneck faster.
The recruiting teams that get the most value from AI won't simply be the ones with the most tools.
They'll be the ones with the clearest hiring systems.
That's why I know recruiting operations, role calibration and candidate evaluation become more important as AI gets better, not less.
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