The flood of perfect resumes

Recruiters are facing a problem they might once have wished for: every resume that lands in the inbox is perfect. According to a Bloomberg report, London-based recruiters say AI-generated and AI-edited applications have flooded their pipelines with documents that read almost identically. Every bullet is tailored to the posting, and almost none of it tells a hiring manager anything they can act on.

The mechanics are simple: a candidate pastes a job description into a chatbot, pastes in their existing CV, and asks for a version that matches. Thirty seconds later they have one. The output is not fraudulent — the experience is usually real — but the language is optimized for whatever the posting asked for, which means fifty applicants who did the same thing produce fifty documents that look like siblings.

Data on the rise of AI in applications

The scale on the candidate side is well established. A Statista survey from January found that 70% of U.S. professionals had used AI at least once while applying for a job in the past two years, and 48% said they used it specifically to tailor applications to individual positions. Employers have noticed: a Willo hiring trends survey found 77% of hiring teams now regularly encounter AI-assisted applications, up from 53% in early 2024.

In early-career finance, the numbers are even higher. According to a report from London-based startup AmplifyME, more than 84% of candidates applying to early-career finance roles use AI tools when preparing applications or interview answers. AmplifyME is seeing an uptick in companies requesting its assessment services, a sign that employers are putting more weight on evaluating skills directly.

Recruiters turn to tests, networking, and referrals

Employers are responding by reverting to methods that predate the applicant tracking system: live tests, networking, and recommendations. Zoe McLoughlin, executive director at London Business School’s career centre, said networking has always been important, but “it’s now absolutely crucial.” She added, “If it’s a job you really want, at least one person at the company needs to know your name before you apply.”

Andrew Powell, chief commercial officer at recruitment firm Robert Walters, said personal networking is on the rise. “Personal networking is on the rise, and event attendance is on the rise,” he told Bloomberg, adding that a human approach is becoming more important as AI creates similarity across applications.

Live assessments and timed tests allow recruiters along to evaluate the skills rather than simply relying on a polished resume. Anthony Cheung, AmplifyME’s chief content and culture officer, said, “It’s almost impossible to identify the signal from the noise.”

Tells: How to spot an AI-written CV?

Common tells: clues to a CV written with AI include American spellings, bold emphasis on certain words, and overused phrases like “proven track record” or “trusted right hand,” according to Rebecca Siciliano, managing director at Tiger Recruitment. “There’s often a heavy reliance on descriptive language rather than concrete, quantifiable achievements, and the formatting can feel oddly uniform across candidates,” she said.

She said she looks for evidence of what someone has actually delivered. Specific numbers and named outcomes are what stand out. Recruiters are not rejecting AI-assisted applications wholesale; they are rejecting applications that say nothing.

LinkedIn data supports the renewed focus on networks: a third of Gen Z thinks not having the right network is the most important barrier to landing a first job. And job seekers are more than three times more likely to be hired by a company if they’re already connected with an employee before applying, according to LinkedIn.

The broader context

AI screening tools have been a source of worry for recruiters and candidates alike. Earlier this year, Bloomberg reported that AI screening tools threatened the staffing industry’s business model. Now, AI is also shaping how candidates present themselves. The response is a reversal of the direction hiring technology has been moving for a decade. A cold application that says nothing may be rejected, but a referral gets a read.

The shift is not only about finding any warm bodies; it’s about finding the right person. Instead of relying on resumes alone, employers are choosing to see what candidates can do in practice. Resumes are not useless but they are no longer the end of the process. The problem is that AI has made it too easy to write a perfect resume, but the evidence behind that resume is what matters.

Perspectives

  • Recruiters: View AI-assisted resumes as noise. They rely on networking, live tests, and referrals to find candidates with real skills, and they prefer measurable achievements to generic language.
  • Career specialists: Emphasize the importance of networking: a job seeker needs to know someone inside the target company to get traction. They also advise focusing on evidence of real work.
  • Skill assessment providers: Are seeing higher demand for their services as companies seek to test actual skills rather than scanning large samples of documents.
  • Job seekers: Using AI to write applications creates a uniform field; they must stand out through human connections and demonstrated outcomes.