AI Is Filtering Out Top Candidates In Hiring, Recruiters Admit
In the relentless race to find top-tier talent, the modern HR department has traded the overflowing filing cabinet for the sophisticated algorithm. But as the dust settles on this digital revolution, a troubling irony has emerged: the very AI tools designed to find the perfect candidate might be the ones filtering them out. That’s according to new research from CV-Library, one of the UK’s largest job sites, which shows 83% of recruiters use AI in hiring, with 28% relying on it to screen applications. But 35% say it has led to missed talent, while 27% believe strong candidates are being filtered out before they reach an interview.
Job Seekers Say AI Is ‘Unfair’ And Too Impersonal
The study, based on nearly 500 recruiters and 1,100 candidates, reveals that more than half (53%) of job seekers believe they’ve been rejected by AI without a human ever reviewing their CV.
A further 46% say unfair rejection is one of their biggest frustrations when job hunting, while 63% say AI-led hiring is less fair than human judgment.
It is also changing behavior, with 40% of job seekers abandoning or considering abandoning applications when AI is used in early screening.
David, 37, a part-time bartender from Doncaster, said: “Being interviewed by an AI bot felt incredibly alienating – there’s no feedback or human interaction, so you have no idea how you’re coming across. It feels like you’re being filtered out, and with so little real communication, it’s easy for the effort you put in to be completely overlooked.”
Gen Z Most Skeptical Of AI Hiring
Younger job seekers are most concerned about automated hiring decisions. Nearly two-thirds (64%) of Gen Z believe AI is responsible for rejecting their application in early stages – the highest of any generation.
They are also the most frustrated by unfair rejection, followed by Millennials and Gen X.
AI Creates An ‘Arms Race’ in Hiring
The rise of AI is also changing how candidates present themselves. 79% say AI-generated CVs have surged in the past year – but this is creating unintended consequences. 81% of recruiters cite that CVs have become more standardized and less distinctive due to AI, with individuality and personality disappearing.
It’s part of an emerging ‘arms race’ as jobseekers use AI to boost their chances, but with so many look-alike CVs flooding in, it’s becoming harder than ever for candidates to stand out and recruiters to find the quality hires.
Even candidates who were initially resistant are adapting. Simon, 39, from the West Midlands, said: “I stayed away from initial interviews with AI platforms – there’s no human interaction and just entirely impersonal. But now AI is in human calls too, taking notes during interviews. After three months without a job, what am I supposed to do? If AI is going to be a gatekeeper, I may as well use it to help me get through those gates.”
AI Use Surges – But Confidence Lags
More than four in five recruiters (83%) say they are using AI to speed up hiring, with 28% relying on it to manage application volume. But it’s not always delivering the benefits, with just 36% say it improves speed-to-hire.
AI is strongest in admin tasks such as writing job descriptions and scheduling interviews, but struggles with judgment-based decisions. 72% say AI cannot assess cultural fit, while 55% say it performs poorly when evaluating soft skills.
Lee Biggins, CEO and Founder of CV-Library, said: “Candidates have long felt that the human touch is ebbing away from the hiring process and that good people are getting screened out unfairly. This insight from recruiters in both agencies and businesses suggests their frustrations may be justified.
“It’s a timely wake-up call that not everything should be outsourced to AI, especially in recruitment, where every candidate is individually unique. It can add value in automating some laborious processes, but good recruiters are using it to support human intuition, not replace it.”
Five Ways To Avoid Being Filtered Out By AI
- Frontload your skills – clearly match your experience to the job description.
- Showcase unique achievements – use measurable outcomes, not generic responsibilities.
- Tailor every application – customize CVs and cover letters for each role.
- Be specific, not vague –include data and context to demonstrate impact.
- Stick to simplicity – avoid overly designed CVs that AI tools may struggle to read.
This article originally appeared on Your Coffee Break. Written by Arthur Rowley.
