Three years ago, Andrew Stockwell had his hiring routine down to a science. As head of people for the software-buying company Vendr, he knew exactly what to expect when he posted a job opening. He would wait a few days, then log in to find a pile of applications—maybe a few dozen, perhaps up to 100 if the listing was especially attractive. Recruiters might add another handful by reaching out to promising people on LinkedIn. From there, Stockwell could do what he loved: read résumés with care, conduct thoughtful interviews, and eventually pass along the genuinely excellent candidates to hiring managers. “It was really about finding that great talent, sussing out that talent, speaking with that talent, and identifying the best possible people,” Stockwell tells WIRED. Then, sometime in the last year or so, everything changed. The same process began with the same listing, but within a day or two the trickle became a deluge. Hundreds of applications. Sometimes over a thousand. A good chunk were “total bogus”—fake candidates, invented identities, nonsense submissions. Many more appeared to have been written by artificial intelligence, polished and plausible but somehow blurry, stretching the truth and making one applicant look almost exactly like the next. The sheer volume was overwhelming, and Stockwell found himself paying his highly skilled talent-acquisition professionals just to wade through the debris. The hunt had become a sorting operation. The experience has turned him into one of a growing chorus of recruitment professionals who believe that looking for a job has become fundamentally broken.
In one sense, the breakage is a result of success. By 2026, applying for a job has become as frictionless as ordering a pair of shoes online. Generative AI, which entered the mainstream in late 2022 when ChatGPT was released, can compose a tailored résumé and cover letter in seconds. Browser extensions can autofill entire application forms without a single keystroke, no human necessary. LinkedIn pushes dozens of jobs to a user’s feed each day, many of them with an easy apply button promising to send your profile to the employer in one click. The result is a system that has removed every obstacle between intention and application. But it has also removed the speed bumps that once did quiet, valuable work: forcing candidates to pause, decide if they really want the job, tailor their materials, and show enough effort to signal genuine interest. Now, applying is cheap, and it is thoughtless. A single job posting can attract thousands of submissions within 24 hours, many from people who have no relevant experience, no real interest, and no actual qualifications. Recruiters, meanwhile, are left to sort through the carnage. They used to spend their time searching for dream employees; now they are glued inside applicant tracking systems, building filters and boolean searches and tweaking keywords in a desperate attempt to find a few human beings worth a thirty-second glance. The very ease that was supposed to connect talent with opportunity has made each individual candidate harder to see. Good applicants cannot stand out. Bad candidates slip through. And the people whose job it is to judge talent find themselves doing the work of spam filters.
Ophir Samson has a front-row seat to this strange reversal. As head of voice AI for Greenhouse, a popular recruiting platform, he spends his days talking to recruiters and hiring managers. Earlier this year, Greenhouse acquired his startup, which used AI to conduct job interviews, so he understands the technological side of the industry as well as the human one. “A year ago, every recruiter would tell me: We want to make it as easy as possible to apply for jobs,” offering candidates a “seamless experience,” Samson says. “What they got was 2,000 applicants in 24 hours for a job. That is a shitty experience for everyone.” It is not hard to see why. For a good candidate, an easy application is also an invisible one; when thousands of people apply, no one has time to notice you. For a bad candidate, easy applications are a gift; they can carpet-bomb the market without consequence. And for recruiters, the job has become a Sisyphean nightmare of judging thousands of people, every single day, knowing that most of the applications are not worth the pixels they occupy. Rather than reading thoughtfully or searching strategically, they spend hours in their applicant tracking systems, adjusting filters and searching for signals, trying to decide whose application deserves even a cursory skim. All of this has generated a surprising new consensus. Recruiters are now telling Samson, “actually, we kind of want friction.” He repeats it as if still slightly amazed: “The friction is good. We want to make it harder.” The idea is that a little resistance might do what every algorithm and automation has failed to do—separate people who genuinely want the job from people who are simply spraying their résumés across the internet.
The turn toward friction is a striking about-face for an industry that spent years trying to eliminate it. There was logic in the original effort: if you want to find the best possible candidate, you want as many qualified applicants as possible to apply. Every point of friction in an application process—a long form, a required cover letter, a mandatory portfolio—is a chance for a good candidate to give up. So, for years, recruiters posted jobs on every board they could find, adopted LinkedIn’s Easy Apply feature, and promised candidates a “one-click” application process. The effort went into overdrive after the pandemic, when employers were desperate to fill open roles and workers held extraordinary leverage. “Everyone was job hopping, because you literally could have three offers in an afternoon,” recalls Jane Curran, chief transformation officer at the real estate giant JLL. Now, she says, “it is the polar opposite.” The shift in the labor market was rapid and dramatic. The number of job openings in the United States peaked at a record 12.3 million in March 2022, according to Bureau of Labor Statistics data. For the next two years, the number declined. Since mid-2024, openings have hovered at around 7 million, give or take 500,000. That is still a lot of openings, but it is a far cry from the post-pandemic frenzy. The competition has intensified just as the application process became effortless. More people are applying for fewer jobs—and because the barrier to entry collapsed, many of those people are applying for every job, not just the ones they truly want.
The collapse of the barrier to entry is not just a byproduct of LinkedIn and Easy Apply. It is a feature of a fast-growing ecosystem of AI-powered job application services. Companies like JobAssist, Sonara, and Ladder’s Apply4Me explicitly promise to handle the busy work of job hunting. Their marketing materials advertise the ability to submit “10x as many applications with less effort than one manual application.” In practice, that means the software can scrape job postings, rewrite a candidate’s résumé to match each listing’s keywords, generate a cover letter, and submit the entire package automatically. If you wanted to, you could apply for dozens of jobs a day without ever looking at a single job description. The result is a kind of arms race that benefits almost no one. Candidates, told that they must compete with machines, turn to machines themselves. Recruiters, flooded with synthetic applications, respond by relying even more heavily on automated screening tools. The system begins to optimize for volume rather than fit. A candidate who genuinely wants to work at a particular company and has taken the time to write an honest, specific application is buried under an avalanche of mass-produced submissions. At the same time, the employer’s trust in the application pile erodes; every résumé is treated as an unreliable artifact, a text that might have been generated by a robot in a few seconds. The human gesture at the heart of the job market—a person saying here is what I have done, here is what I can do—gets lost in the noise.
What’s left is a strange paradox. Job hunting has never been easier in purely technical terms, and never harder in human ones. The tools that were meant to democratize opportunity have made it harder to be seen; the convenience that was meant to save time has created enormous new burdens for everyone involved. Stockwell did not want to spend his days directing his team through a landfill of fake applications. Samson’s recruiters did not want to receive 2,000 applications in a day. Candidates did not want to be ignored by systems that could never read their stories. And yet here we are, in a world where the easiest thing to do is apply for a job, and the hardest thing is to have your application matter. The emerging instinct among recruiters—to add friction back into the process—is not nostalgia for the old ways. It is an effort to restore the value of a human signal. A thoughtfully crafted résumé, a cover letter that shows real knowledge of the company, an application that took time: these are not barriers to opportunity. They are the language in which people say “I really want this.” If every application is a one-click reflex, no application means anything. The companies that will solve the problem, perhaps, are not the ones that make applying easier, but the ones willing to make it a little harder—to protect the meaning of the act itself. In the meantime, the system remains broken, and everyone is paying the price: the qualified candidate who is filtered out, the recruiter drowning in noise, and the hiring manager missing a great hire because the signal was buried under a thousand automated submissions. The revolution in job hunting has arrived. The next challenge will be building the walls that keep it from turning into a jumble of noise.
