Research from Specific Resume on what really happens to resumes at high-volume job openings — most are never opened by a human, and the true gatekeeper is a time-starved recruiter rather than the applicant tracking system everyone fears.
Why I recommend it: Read this before you spend another weekend keyword-stuffing for the ATS. The takeaway is to make the top third of page one obviously relevant to one specific role, and to find a human path in alongside the application.
WIRED report on candidates using AI to answer interview questions while employers use AI to screen and score them, and what that arms race does to hiring.
Why I recommend it: Know the screening you are up against, then be the human in the room. Over-scripted AI answers are exactly what these systems flag.
Stanford-led study of 3 million applicants screened by a single algorithm vendor, finding racial disparities and homogeneous rejections — the same people get screened out everywhere. Explains why applicants must apply widely to reach a human.
In plain terms: This research study examines how automated screening tools used by multiple employers cause repeated rejections and racial disparities. Use this paper to understand how hiring algorithms work and why applying to more jobs helps you reach a human reviewer.
Why I recommend it: This is the evidence behind advice I give constantly: one rejection is often the same algorithm repeated, not a verdict on you.
