I would love help from the community on what the best solution for hiring is.

Sharing a real example I am going through -> * A single LinkedIn post about a job I was hiring for got me 300+ candidates in a single day. I am sure if I went through the channels, I would have 1000+ candidates for a single role (assuming 1000 in this example). * There are candidates that I think might be great for the role, who I will do outbound to try to attract them. * A single interview process would involve at least 4+ people in the process, potentially taking half a day of cumulative eng time away from the company (4 hours).

The current hiring process is massively broken for all parties involved. It's not a good experience for candidates, or for hiring managers, or for the people who volunteer their time to interviews.

Out of the 1000 candidates, either AI, or humans today will pick, say, the top 50 to proceed to the next step (with humans). There's no "perfect" process to do this today, hence it's likely to happen based on past employers/colleges/github contributions etc.

Is there an opportunity for AI interviews for the other 950 people and find the hidden gems of talent who get overlooked today because of the biases above? This can especially help people who would be overlooked by typical ATS filtering mechanisms.

Don’t interview the 950. If you want to see if there are any diamonds in the rough, put it in your ‘no thanks’ email that if the want to make another case as to why you all should talk, then they should reply to that email or email you directly, or something.

All you need to do is hire someone who is hungry and has potential. That’s most people. So riffle through the resumes to find anyone who shows any kind of spark or humanity. Pick the five of those. Hire one of those five.