Indeed chief executive Hisayuki Idekoba has a blunt way of describing the state of hiring in 2026: a vicious cycle that neither job seekers nor employers can easily escape. Questioning why a company would receive a thousand applications for a single opening and still struggle to fill it, Idekoba put the core problem plainly, saying something is wrong when that many people apply and somehow none of them turn out to be the right fit.
The numbers behind that frustration are stark. Applications per job listing climbed one hundred eleven percent between 2022 and 2025, even as the number of working recruiters available to sift through them fell fifty six percent over the same stretch. Job openings themselves have slowed at the same time competition for each one has intensified, leaving many genuinely qualified workers firing off dozens or even hundreds of applications without ever hearing back.
AI didn't just speed up applying, it broke the signal
Generative AI tools have made it trivially easy to churn out polished, tailored looking applications in seconds, and that ease has flooded employer inboxes with volume that no longer correlates with genuine interest or fit. Layered on top of that flood is outright fraud, including reports of North Korean IT operatives posing as ordinary job seekers to land remote positions, a scam that has made employers even warier of trusting what shows up in their applicant pool at face value.
The result is a system where the traditional signal, a résumé landing in an inbox, has stopped meaning what it used to. Employers can no longer safely assume that a flood of applications reflects a flood of qualified interest, and job seekers can no longer assume that submitting an application, however tailored, will actually reach a human being who reads it carefully.
Indeed's own tools are part of the mess too
Idekoba's company has not been immune from the problem it is now trying to solve. Indeed had to pause its own Apply For Me feature, an automated tool meant to submit applications on a job seeker's behalf, after users complained the submissions it generated were inaccurate, an episode that illustrates just how easily even well intentioned automation can add to the noise rather than cut through it.
In response, Idekoba has outlined a three part approach centered on authenticating real applicants, filtering out AI generated submissions that lack genuine intent, and verifying that employers posting jobs are actually looking to hire rather than collecting resumes for other purposes. New tools branded Career Scout and Talent Scout are meant to carry that filtering work, aiming to restore some level of trust to both sides of the exchange.
An industry wide doom loop, not just an Indeed problem
Idekoba is far from alone in describing the moment this way. Greenhouse chief executive Daniel Chait has used the term AI doom loop to describe the same dynamic, pointing out that both job seekers and employers are now using AI tools against each other, job seekers to generate more applications faster, employers to screen them faster, in a way that collectively makes the whole system worse rather than better for everyone involved.
Idekoba's own fix leans on more of the same technology that created the problem, with a five year vision of automating enough of recruiters' manual screening work that they can spend their time on genuine conversations with candidates instead of wading through an inbox full of noise. Whether more AI can actually untangle a mess AI helped create is the open question hanging over every company now racing to build a similar fix.
