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I probably should have worded that better. 500k applicants for 10k positions. The jobs aren't different. Think Amazon Warehouse job where there are 650k workers. High turnover, and an HR department is running those interviews, not the manager.
So even if each screener is running 15 minute interviews, they're asking the same questions 20 times a day. Every day. The mental task and repetitiveness just isn't something a person is going to be good at. An AI can do this more effectively and pass on the top candidates.
I have a friend who was working in this space in 2019.
Their customers were hiring something like 10k jobs worldwide annually, which means 500k+ applications to go through.
AI was used for the first filter to get a person through to later rounds.
It makes sense at that scale, and not for "hiring" but just to make decisions as to who gets to the next round.
The alternative is that you end up having to hire so many people to go through the applicants and then those people get bored of asking the same initial questions again and again.
I remember hearing an anecdote, back in the days of paper resumes, that hiring managers would take the huge stack of resumes they got, divide them in half and throw half in the bin. That half would be considered unlucky, and you don't want to hire unlucky people.
But seriously, with the number of job applicants, for certain positions, what are the alternatives to getting AI to help?
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