“Ninety-one percent of recruiters and hiring managers have spotted or suspected candidate deception at some point,” said Will Leahy, VP of customer success at applicant tracking platform Greenhouse, citing the company’s 2026 AI in Hiring Report. That deception can be as little as fudging skill proficiency to falsifying references to adopting a deepfake likeness or false persona.

This presents a challenge to today’s good-faith job seekers, who aren’t only competing against other qualified applicants, they’re now going head to head against bad actors willing to game the system and lie. The challenge for recruiters is remaining vigilant without treating sincere candidates with undue suspicion.

This problem—and new solutions—was the topic of conversation during a From Day One webinar on how employers are building trust in hiring while also improving the candidate experience.

The ‘AI Doom Loop’

Candidates are using AI to apply for more roles, while at the same time employers are using AI to manage the swell of applications. “It’s not uncommon for a recruiter to post a role and, within 48 hours, have over 900 applications,” said Leahy’s co-panelist Erin Walsh-Beguin, senior director of global recruiting operations at GoDaddy. Employers are struggling to sort through the slop without losing great candidates along the way.

The result is an “AI doom loop.” “Candidates are leveraging AI to get themselves out there at an exponentially higher rate, which is causing an extraordinary amount of application influx, and quite a bit of it is spam,” Leahy said. “On the other side of the house are recruiters trying to navigate that and leveraging AI to the best of their ability to try and cut through that noise.”

With each side trying to stay several steps ahead of the other, “it creates a doom loop, and no one’s happy, no one’s having a good time, and no one’s satisfied,” he said.

To find the best candidates—who are actually real people—recruiters are trying things like identity verification. “Eighteen percent of recruiters that we talk to have had an experience where there was a deep fake in the room,” Leahy said. Greenhouse’s new partnership with CLEAR lets employers verify a candidate’s identity at whatever point they choose. Once that’s out of the way, “you can bypass suspicion and have a real human conversation,” he said.

Real human conversations and sincere interactions are invaluable in this moment, when employers and candidates are becoming increasingly distrustful of one another. Walsh-Beguin likes to hold onto those moments by “sending notes, emails, and touching base,” she said. And a lot of that can be aided with automation. 

But avoid the temptation to over-automate and send blast-emails or status updates that are impersonal or uninformative. “It doesn’t take that long to send out a check-in and say, ‘Hey, thank you for hanging in there. We’re doing our best,’” she said. Transparency matters: Telling candidates upfront what they can expect in the hiring process, how AI will or won’t be used, and when they might hear from you again—these things don’t take much time or technical know-how. 

Behind the scenes, new applicant tracking tech is helping employers surface the best, most qualified, and most-likely-to-be-real candidates. Greenhouse’s new Talent Mapping feature works like an email inbox’s spam filter, sorting through suspicious applications to find strong matches and those most likely to be irrelevant or fraudulent. And like a spam filter, red-flagged candidates aren’t thrown out, but set aside for human review.

The recruiter sets the parameters and reviews the results. “You are going to continuously teach the AI that the parameters that you used did yield the correct match, and you can override it again,” Walsh-Beguin said. That human intervention is key. “Ethical utilization of AI is something everybody has to ensure they’re following through on.”

“Any amount of automation that allows more humanness to enter the conversation” is worthwhile, said Leahy. This goes for sophisticated talent mapping as well as simple transcription and summarization features, which lets him focus on the candidate rather than note-taking. “That’s automation making my life easier but also making it more human.”

Editor’s note: From Day One thanks our partner, Greenhouse, for sponsoring this webinar. 

Emily McCrary-Ruiz-Esparza is an independent journalist and From Day One contributing editor who writes about business and the world of work. Her work has appeared in the Economist, the BBC, The Washington Post, Inc., and Business Insider, among others. She is the recipient of a Virginia Press Association award for business and financial journalism. She is the host of How to Be Anything, the podcast about people with unusual jobs.

(Photo by Ridofranz/iStock)