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Chronicles

The story behind the story

days · browse · Enter similar · o open

The AI arms race between employers and jobseekers isn't going well for anyone, as applicants turn to GenAI to speed up a process that already felt dehumanized

www.ft.com/content/43cd... Colm Murphy / @colmpm : Some interesting parallels in this @sarahoconnorft.ft.com piece on hiring with some of the dilemmas we face in higher education.  For example, the advocacy of the return to in-person testing.  —  www.ft.com/content/43cd... Tony Tassell / @tonytassell : The dynamics of applying for jobs now seems grim - employers have become snowed under by people using AI to churn out applications, writes @sarahoconnorft.ft.com here.  And applicants have long been dealing with AI processes such as “synchronous video interviews” www.ft.com/content/43cd... X: @tanarrowz : “One of the best ways to reduce cheating behavior of all types is to utilize a multi-stage workflow in which a candidate's knowledge, skills, and abilities are validated by an interviewer in a live interview setting.” https://www.ft.com/... via @ft

Financial Times Sarah O'Connor

Context & Ripple Effects

Automated screening had already pushed applicants toward application-specific résumé work and preparation for algorithmic evaluation. The reported use of GenAI to accelerate submissions turns that earlier burden into a volume problem for employers.

The resulting feedback loop is visible in coverage of more demanding technical tests and assignments and, later, employers using AI screening to handle AI-generated résumés. This story matters because it frames hiring as reciprocal automation rather than a one-sided efficiency gain.

First-order effects

  • Jobseekers can produce and tailor more applications faster, while employers face a larger pool whose written materials are less reliable as evidence of individual skill or effort.
  • Employers are pushed toward higher-friction validation, including live interviews, multi-stage checks, or in-person testing, after applicants have already encountered automated video-interview processes.

Second-order effects

  • Recruiters must shift evaluation away from polished application artifacts toward observed performance, adding time and cost to later hiring stages even if initial screening remains automated.
  • Candidates without access to, or comfort with, GenAI and intensive screening preparation may be disadvantaged as both application volume and verification demands rise.

Third-order effects

  • If this loop persists, hiring signals based on résumés, cover letters, and take-home text may lose value; employers will increasingly compete on credible, candidate-tolerable methods of verification.
  • The broader risk is a two-sided automation market in which tools create synthetic applicant supply and then sell employers the filtering and assessment needed to manage it.

The trend: Hiring is becoming a synthetic-supply paradox: generative AI lowers the cost of applying while forcing employers to invest in stronger proof of candidate capability.

Discussion

  • @davidmurdoch David Murdoch on bluesky
    Maybe an interesting PhD to be written on why this gender split occurs “a survey of 1,500 jobseekers found that 31 per cent of men were using a paid-for AI tool [in hiring assessments] compared with 18 per cent of women.”  More emphasis on playing fair, ethical use perhaps? www.f…
  • @dannygroner Danny Groner on bluesky
    “That said, the ensuing AI arms race is clearly not going well for anyone.  It was supposed to improve efficiency and fairness.  It has become a threat to both.”  —  www.ft.com/content/43cd...
  • @colmpm Colm Murphy on bluesky
    Some interesting parallels in this @sarahoconnorft.ft.com piece on hiring with some of the dilemmas we face in higher education.  For example, the advocacy of the return to in-person testing.  —  www.ft.com/content/43cd...
  • @tonytassell Tony Tassell on bluesky
    The dynamics of applying for jobs now seems grim - employers have become snowed under by people using AI to churn out applications, writes @sarahoconnorft.ft.com here.  And applicants have long been dealing with AI processes such as “synchronous video interviews” www.ft.com/conte…
  • @tanarrowz @tanarrowz on x
    “One of the best ways to reduce cheating behavior of all types is to utilize a multi-stage workflow in which a candidate's knowledge, skills, and abilities are validated by an interviewer in a live interview setting.” https://www.ft.com/... via @ft