> 1. AI Spam. I categorized the inbound we got the other day from a job post. Out of 172 daily applicants, we got 22 that looked reasonably like a person, and 1

> 1. AI Spam. I categorized the inbound we got the other day from a job post. Out of 172 daily applicants, we got 22 that looked reasonably like a person, and 150 that were primarily AI generated messages. Which are pretty easy to spot because they're 500 words of tech jargon and rehashing the job description. This is what it takes to get through the filters/recruiter search. In majority of the organizations the first line of defense is the recruiter who has a limited knowledge of the job responsibilities, technologies involved, etc. They employ various search techniques in their ATS (lately enhanced by the various LLM tools) and whatever resumes come up in the keyword search will end up in the pile presented to the hiring manager. This is especially true now when volume of resumes is in hundreds, you can't just go through all of them manually. So the only way to get through the first stage is to create resumes to fit the LLM/keyword search... EDIT: I've been seeing more and more of these disclaimers when I submit an application: "We use Machine Learning for an initial comparison of resumes against the education, experience, and skills requirements of the job description." Check here to out out of this analysis. So candidates tweak resumes to match the requirements (likely) with the same LLM that will be checking the resume match to the same requirements. Why is this surprising?