The Numbers Come First
There are currently 175,000 live jobs on Greenhouse's hiring platform. For every one of those postings, roughly 254 job seekers are applying—pushing applications per recruiter up by 412%, according to Greenhouse CEO Daniel Chait.
The result, Chait told Fortune, is a market that 'just isn't working for either side.' He calls it the AI doom loop.
How the Loop Works
On the candidate side, job seekers frustrated by silence have turned to AI tools that automate mass applications. 'You can go search on Google, and there are tools that advertise, use AI to automatically apply to every Greenhouse job,' Chait said. 'Someone goes and buys that tool, it's like 20 bucks, and now they can just shoot out job applications willy-nilly to as many jobs as they want.'
On the employer side, recruiters are receiving hundreds or thousands of applications in a day or two and 'are not able to keep up with it.' Because so many submissions are AI-generated, Chait notes, 'they all start to look the same'—stripping out the signal that once separated a serious candidate from a serial spammer.
Employers respond by deploying their own AI filters. Candidates, overlooked again, apply to still more jobs. The loop tightens.
The Scale of the Breakdown
The dysfunction is not limited to the United States. More than 1.2 million applications were submitted last year in the U.K. alone for fewer than 17,000 graduate roles. One candidate with a master's degree applied to thousands of positions over six months without a single callback.
Arvind Jain, the former Google engineer behind AI startup Glean—valued at $7.2 billion—told Fortune that his company receives thousands of applications every single day and still cannot find the people it needs, because top candidates are hired before he can review a fraction of the submissions. 'Students think it's hard to find jobs, but we think it's hard to find them,' Jain said.
Goodwill CEO Steve Preston has said the job center is bracing for an influx of jobless young people as AI displaces entry-level roles, a pressure that could widen the funnel further.
Greenhouse's Two-Part Answer
Chait is not calling for a ban on AI in hiring. Instead, Greenhouse has launched two features aimed at restoring scarcity and intent to the process.
The first, called 'My Dream Job,' allows a job seeker to flag one role per month—across every company on the platform—as a top priority. Nearly half a million dream-job applications have been submitted since launch, and Chait says those candidates are hired at roughly five times the rate of standard applicants.
The second move: Greenhouse acquired AI voice-interviewing company Ezra AI Labs, enabling every applicant—not just a shortlisted few—to complete an interview. 'Why would I send out automatic thousands of job applications if every single one of them I have to take an interview for?' Chait said. The company also argues that eliminating the résumé-screening stage removes what it describes as a bias-prone step that adds roughly six days to the average hiring timeline.
CEO Times Take
The AI doom loop is a textbook market failure born not of capitalism but of friction—friction created when platforms scaled faster than the trust mechanisms that make markets clear. When signals disappear, volume replaces quality, and everyone loses: the employer who can't find talent, the qualified candidate buried under a million auto-generated rivals, and the economy that needs both sides to connect efficiently.
The Greenhouse experiment—reintroducing scarcity through a one-flag limit and accountability through mandatory interviews—is precisely the kind of market-based correction that works without a regulator in the room. Capital rewards clear rules. The hiring market is learning that lesson the hard way.
