Personally, my theory is that the advent of “hiring algorithms” caused this. The widespread use of AI for weeding out candidates has gone way too far. These softwares are purging resumes of perfectly qualified candidates without the human hiring managers ever knowing about it.
That’s why every company right now is bitching that they can’t find anyone to hire while every unemployed person I know saying that jobs are impossible to get.
Anecdotally, that’s also why you get ghosted by companies instead of rejected. They have no idea you ever applied.
Fuck resume scanners and the horse they rode in on. It is exhausting tailoring every resume to the job posting because you might get dinged if you don’t use exactly the same words as what the job description says.
I get some of the issues (not talking about pharmacies here) because if you hire remotely you get swamped with resumes, if you don’t you only get the nearest people, not the best people.
Everyone loves to shit on HR in comment threads but if they have a series of processes that are well thought out they can be a benefit to employer and employee.
Sure, but I’ve yet to see a profession as reviled as HR. That would include drug dealing. Maybe dentists? That’s all I can think of, top of my mind anyways.
Literally their entire profession consists of being a professional snitch and a gatekeeper.
These softwares are purging resumes of perfectly qualified candidates without the human hiring managers ever knowing about it.
I was watching an astronomer’s channel the other day and she brought up how automated much of the initial processes are for telescopes now. She said a similar thing, wondering if there is good information in that filtering that is never seen by the humans who view the “sanitized” end product. Any tool is useful as long as you understand its limitations and don’t have blind trust. I fear that somehow most people are using AI with a blind trust of the “intelligence” part, not understanding that it’s hardly perfect and often times very bad if misused. Or overused for everything.
Personally, my theory is that the advent of “hiring algorithms” caused this. The widespread use of AI for weeding out candidates has gone way too far. These softwares are purging resumes of perfectly qualified candidates without the human hiring managers ever knowing about it.
That’s why every company right now is bitching that they can’t find anyone to hire while every unemployed person I know saying that jobs are impossible to get.
Anecdotally, that’s also why you get ghosted by companies instead of rejected. They have no idea you ever applied.
Fuck resume scanners and the horse they rode in on. It is exhausting tailoring every resume to the job posting because you might get dinged if you don’t use exactly the same words as what the job description says.
I get some of the issues (not talking about pharmacies here) because if you hire remotely you get swamped with resumes, if you don’t you only get the nearest people, not the best people.
Everyone loves to shit on HR in comment threads but if they have a series of processes that are well thought out they can be a benefit to employer and employee.
Removed by mod
i don’t work in HR lol but you can say that about any job except doctors nurses and fire fighters
That’s what being an employee is: receiving money to be of some use to the employer.
Sure, but I’ve yet to see a profession as reviled as HR. That would include drug dealing. Maybe dentists? That’s all I can think of, top of my mind anyways.
Literally their entire profession consists of being a professional snitch and a gatekeeper.
I was watching an astronomer’s channel the other day and she brought up how automated much of the initial processes are for telescopes now. She said a similar thing, wondering if there is good information in that filtering that is never seen by the humans who view the “sanitized” end product. Any tool is useful as long as you understand its limitations and don’t have blind trust. I fear that somehow most people are using AI with a blind trust of the “intelligence” part, not understanding that it’s hardly perfect and often times very bad if misused. Or overused for everything.
People also forget that AI is built on a dataset built by humans and their biases.