Why AI Resumes Broke Hiring

Something shifted in hiring over the past two years, and if you've posted a job recently, you've felt it. The resumes flooding your inbox are polished, keyword-optimized, and remarkably similar. Every candidate sounds like a perfect fit on paper. The problem is, you can't tell any of them apart.

The culprit is straightforward: AI writing tools have become ubiquitous. ChatGPT, Jasper, resume-specific builders like Teal and Kickresume — they all produce the same kind of output. Crisp action verbs, quantified achievements, perfectly tailored summaries. The advice that career coaches gave for years ("mirror the job description") is now automated and available to everyone for free.

This isn't a moral failing on candidates' part. They're being rational. When everyone else is using AI to polish their application, not using it puts you at a disadvantage. The result is an arms race where the baseline quality of every resume has risen to the point where quality is no longer a signal. When every resume reads like it was written by a professional copywriter, the resume stops telling you anything useful.

For hiring teams, this creates a genuine operational problem. The traditional funnel — post a job, screen resumes, phone screen the top candidates — breaks down when you can't screen resumes effectively anymore. Teams are either spending more time than ever on phone screens (burning hours on candidates who look great on paper but aren't a fit) or making semi-random decisions about who to call (and missing great people).

The way out isn't to fight AI with AI. It's to add a signal that AI can't fake: video. When candidates answer your screening questions on camera, you hear how they think, how they communicate, and whether they actually understand the role. Two minutes of video tells you more than two pages of AI-polished text. That's why we built Shortlist — to give hiring teams their filter back in an era where resumes have lost theirs.