AI Resume Screeners Leave Recent Graduates Feeling Invisible

Recent college graduates are finding that artificial intelligence stands between them and their first job—and not in a helpful way. As employers increasingly deploy automated applicant tracking systems to manage high application volumes, job seekers report feeling screened out before a human ever reviews their credentials.

Samantha Kehler, a recent Marist College graduate, described her experience navigating AI-driven hiring processes in an interview with Fox Business. While she has learned to use AI tools to tailor resumes and conduct research, she believes the same technology is working against her on the employer side.

The keyword filtering problem

"I know that AI is pretty much the one who is reading my application," Kehler told Fox Business. "I don't feel like my resume and my cover letters are being read by human eyes... I know I'm just getting filtered out if I don't have a specific keyword."

Applicant tracking systems scan resumes for predetermined keywords and phrases before passing applications to human recruiters. The approach helps companies manage thousands of applications efficiently, but critics argue it can eliminate qualified candidates whose resumes don't match exact terminology—even when their experience is relevant.

Kehler pointed to rejection emails arriving "at two in the morning" as evidence that automated systems, rather than people, are making initial hiring decisions. The timing reinforces a growing concern among job seekers that they never get the chance to make a human first impression.

Why it matters

The shift to AI-powered screening creates a paradox in the entry-level job market: candidates must optimize resumes for algorithms while also trying to stand out as individuals. For recent graduates without extensive work histories, the keyword-matching approach can be particularly challenging, as they may lack the specific terminology that comes with industry experience. This dynamic could systematically disadvantage qualified early-career candidates while favoring those who simply know how to game the system.

The human cost of automation

While AI tools promise to make hiring more efficient, they may be making the process less personal at a critical juncture. Entry-level hiring has traditionally relied on assessing potential and cultural fit—qualities that don't always translate into resume keywords.

Kehler acknowledged that AI has helped her "synthesize information faster" and conduct more thorough research during her job search. But the same technology that assists applicants is also creating new barriers when deployed by employers.

The tension reflects a broader challenge as AI reshapes white-collar work: automation can improve efficiency while simultaneously reducing opportunities for human judgment and connection. For recent graduates entering a competitive job market, that tradeoff feels particularly acute.

These details were first reported by Fox Business in an interview on "Mornings with Maria."