AI Resumes Create a Stalemate in Hiring, Leaving HR Pros Drowning in Look-Alike Applications
Job applicants are using AI to write resumes and cover letters. Recruiters are using AI to screen them. The result: applications that all sound the same, and a hiring process that feels broken to everyone involved.
Recruiters now receive roughly 400% more applications than they did a few years ago, according to Daniel Chait, CEO of the hiring platform Greenhouse. That volume has forced HR teams to lean on AI tools just to manage the influx.
Job-seekers, fearing their applications get buried by automated screening, respond by using more AI to craft their materials. Chait calls this cycle a "doom loop" - each side using AI to help itself, but the net effect is that every application starts to look identical.
The Screening Reality
AI resume screening is real, but less widespread than job-seekers believe. Johnny C. Taylor Jr., CEO of SHRM, the industry group for HR professionals, said his organization uses AI to screen resumes against minimum job requirements. A recent posting received 150 applications in one day - a volume most small companies cannot review manually.
"I can tell you confidently that, generally speaking, the candidate is not seen if the AI tool has screened them out," Taylor Jr. said.
But Elias Cobb, director of the Denver-based staffing firm Quantix, pushes back on the assumption that AI screening is universal. "It's a minority of companies that use them," he said. Job-seekers overestimate how many employers have deployed these tools.
Even where AI screening exists, humans remain in the loop. "There's no AI that automatically rejects anybody," Cobb said. "There's always a human who has to at least press a button."
Jim Riney, talent acquisition manager at engineering firm Freese and Nichols, said his company has not implemented AI screening. "The key to me is that it always has to come down to a human making a decision," he said.
Personality Gets Lost in Translation
David Hack, founder and CEO of Crush Yard, a pickleball bar with around 250 employees, sees job-seekers relying too heavily on AI-generated applications. The result scrubs away individuality.
"If you're already just allowing AI to do everything, that's not a good first impression," Hack said. Hiring managers can spot when an email, cover letter, and resume are all machine-written.
Nicole Lawlor, director of client partnerships at recruiting agency Veridic Solutions, said companies still hire outside agencies because they want human judgment. But she acknowledges some employers use AI screening because they lack the resources to do otherwise.
What Could Shift the Dynamic
Chait suggested AI could serve a more constructive purpose: filtering out fraudulent applications and moving qualified candidates directly to voice interviews. That approach gives applicants a chance to demonstrate personality and judgment - things a resume cannot show.
"Companies are looking at that more positive aspect of AI now as well: How do I go out there and find people that were getting overlooked, and how do I look through all of my inbox, and actually give people the opportunity to show more than just what was on a generic resume or LinkedIn profile?" Chait said.
The tight labor market - 1.1 unemployed people for every opening - means competition is fierce regardless of AI. But HR teams caught between application volume and hiring pressure face a real problem. AI for Human Resources training can help HR professionals understand where and how to deploy these tools responsibly, and where human judgment must remain central.
For HR leaders managing this shift at the executive level, AI Learning Path for CHROs offers guidance on building recruitment systems that balance automation with human oversight.
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