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
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.