Increasingly automated job screening systems are forcing job seekers to adopt time-consuming tasks to be noticed, like writing application-specific resumes
Jeffrey Johnson was on one continuous job search, more or less, for 12 years. — After the recession shuttered the textbook publisher … Tweets: @imani_barbarin , @sesmith , and @taylorlorenz Tweets: @imani_barbarin : It's also ableist, because if you're only seeing candidates through the lens of technology, then disabled candidates will always be rooted out. https://twitter.com/... S.E. Smith / @sesmith : Applying for jobs isn't about putting your best foot forward. It's about getting through an algorithmic gauntlet so a human MIGHT get to see your resume. https://www.vice.com/... Taylor Lorenz / @taylorlorenz : Companies are increasingly using automated systems to select who gets ahead, who gets eliminated from pools of applicants. For jobseekers, this means bizarre time-consuming tasks demanded by companies who have not shown any meaningful consideration of them https://www.vice.com/...
Context & Ripple Effects
This 2020 VICE report caught the hiring market at an inflection point: automated screening had already made applying a per-application craft project, with job seekers like Jeffrey Johnson spending years tailoring resumes to get past filters before a human ever looked. Weeks earlier, CNN had reported that university career counselors were coaching students on how to impress the algorithms rather than human recruiters — the burden was already institutionalized.
What makes the piece worth revisiting is how precisely it predicted the escalation that followed: by 2025, applicants were answering automation with automation, and the [[a:885446|FT described an AI arms race between employers and jobseekers that isn't going well for anyone]]. The commenters quoted here — flagging the ableism of filtering candidates through technology and the 'algorithmic gauntlet' replacing putting your best foot forward — named the failure modes now visible at scale.
First-order effects
- Job seekers absorb the cost directly: application-specific resumes and keyword optimization turn each application into unpaid labor, and disabled candidates risk being rooted out entirely when screening sees only through a technological lens.
Second-order effects
- Employers respond to the flood of optimized applications with more automation of their own — as the NYT later reported, a [[a:887218|surge in AI-generated résumés pushed companies toward AI screening and video-interviewing tools]] to rank candidates, while recruiters added technical tests, essays, and assignments to interviews.
Third-order effects
- If both sides keep automating, hiring structurally decouples from human judgment at every gate: candidates optimize for machines, machines filter for employers, and the humans on both ends meet only after passing through layers neither controls — with disability advocates' concerns about algorithmic exclusion hardening into a civil-rights issue rather than a design bug.
The trend: Hiring is locked in an escalating automation arms race where each side's AI forces the other to automate further, trading speed for a process that screens out exactly the people it claims to evaluate fairly.