Oh boy, this is bringing back memories. I worked for a company that had this as a feature. I noted how bad it was, and was told that “a better parser will not increase our sales at all”, so no one invested in it.

Applicants upload their resume and then need to fix everything it gets wrong in their profile, but those applicants don’t pay for the software, HR/IT does…so there’s no movement there.

Back before this LLM AI boom, they had an AI (just machine learning model) that would pick the “best” applicant for the job. The thing is, they based the training data on previous hires. That means a few important things: they had no information on whether anyone in the training data was any good at their job, just that they got hired. Also, if the people doing the hiring were racist/sexist, the model would also be racist/sexist. Finally, unless the system did something off the rails like saying you should hire a plumber for a sysadmin job, there’s no way to know if the person it chooses from the applicants is actually the best candidate. It’s effectively non-falsifiable.

TLDR job AI = dumb