Employers Worry Your Resume Was Written by AI. 46% of Them Have AI Reading It.

Anyone who has looked for work this year knows the routine. You tailor the resume, rewrite the cover letter, hit submit, and then nothing happens. No rejection, no interview, no sign that a person ever opened the file.

A new report from hiring-assessment company Criteria suggests there's a decent chance nobody did. In its 2026–2027 Hiring Benchmark Report, which surveyed 1,027 US hiring professionals this summer, 56% said they use AI somewhere in recruiting or hiring. Screening was the most common use, at 46%.

The same people told Criteria that one of their biggest headaches is candidates using AI. Forty-one percent named applicants using AI to misrepresent themselves as a top hiring challenge. In tech, it was 60%. And 35% admitted their process can't reliably catch it.

So a large share of employers are worried that the resume in front of them was written by a machine, and they're handing it to a machine to decide.

Where the AI actually sits

Screening is only the start. Thirty-five percent of respondents use AI for assessments and 35% use it for scheduling. Smaller groups have moved it into the interview itself: 13% use it to write interview questions, 10% run AI-led interviews, and 9% let it score candidates' answers. For some applicants, software now asks the questions, hears the answers, and grades them.

Employers have their own doubts about this. Asked what holds them back from using AI in hiring, 42% named accuracy, more than any other concern. Twenty-six percent cited bias and fairness, and 28% worried about how candidates would react. None of that seems to be slowing adoption much.

There's a fair objection here. Faking your qualifications with a chatbot and sorting 2,000 applications with software aren't the same thing, and nobody should pretend they are. But from the candidate's side, the arrangement looks lopsided. Employers get to use AI to cope with the volume. Candidates who use it to cope with the silence get treated as a fraud risk.

The loop

At The State of AI, we've been watching for the first places where AI stops being a tool one side uses and becomes something both sides use against each other. Hiring may be the clearest case so far.

It works roughly like this. Candidates apply to more jobs, faster, because AI makes it cheap and because most applications get no reply. Employers get buried (31% report extremely high applicant volume, and 24% say they've lost confidence in resumes altogether), so they bring in AI to filter. Filters reward whatever they're tuned to reward, so candidates tune their applications to match, and the resumes start to look alike. Employers trust them even less. Everyone ends up with more tools and less information.

Tech gives a preview of where that leads. It's the industry furthest along, with 87% of tech hiring professionals using AI in hiring, compared with 56% overall. It also has the worst numbers on nearly everything else in the report. Sixty percent say candidates misrepresent themselves with AI, 46% report high applicant volume, 49% see persistent skills shortages, and 57% say hiring got harder this year, the highest of any industry. A survey can't show that adoption caused those problems. It does show that the sector that went furthest with AI hiring hasn't found hiring any easier.

Who's ghosting whom

The loop has a human cost, and it shows up in the ghosting numbers. Seventy percent of hiring professionals say a candidate has ghosted them. Nineteen percent say they've ever ghosted a candidate.

Most job seekers will find that 19% hard to square with their own inbox. Maybe the other 81% are right. Or maybe an automated system did the ghosting, and nobody thinks of it as theirs.

Either way, employers don't treat it as a priority. Asked for their top goals for next year, respondents ranked improving the candidate experience fifth, at 31%. Improving employer brand came last of ten, at 12%.

Our take

AI in hiring isn't the problem on its own. No recruiter should have to read 3,000 applications by hand, and plenty of candidates use AI honestly, to clean up their grammar or figure out what a job actually involves.

The problem is that both sides are using it to avoid each other. Employers use it so they don't have to deal with most applicants. Applicants use it because employers weren't going to deal with them anyway. The software is doing what it was bought to do, and what it was bought to do is take people out of the process.

Employers have far more power to break that cycle than candidates do. They pick the tools, set the filters, and decide whether a rejected applicant hears anything at all. A company that told applicants when software was screening them, what it was looking for, and when a person would step in would be doing something rare in 2026. It would probably get better applications, too.

Employers who want candidates to stop gaming their AI could start by telling them it's there.

Data: Criteria, 2026–2027 Hiring Benchmark Report, survey of 1,027 US hiring professionals conducted in summer 2026. Criteria sells hiring assessment software, and its report argues for more assessment-based hiring.