In June 2025, U.S. employers reported 7.4 million job openings — but made only 5.2 million hires. That's a gap of over 2.2 million positions that never materialized.
According to an analysis of Bureau of Labor Statistics data, nearly one in three job postings never results in a hire.
This isn't a blip. The gap has held between 28% and 38% every month since 2021.
A few years ago, spotting a fake or dead listing was almost easy. Bad grammar. A vague company with no real website. The tells were obvious once you knew to look for them.
That's not true anymore.
AI made every listing look legitimate
Companies — and scammers — now use AI to write job descriptions. The result is polished, grammatically flawless copy that reads exactly like a real posting, because increasingly, the same tools are writing both. The "does this sound off" instinct stops working when everything sounds professionally written.
Why a listing stays up with no plan to hire
The reasons have gotten more sophisticated too. A listing can stay live and pull in resumes for months without anyone ever planning to fill it. Some of the most common reasons:
- Building a resume database for future roles
- Signaling growth to investors, competitors, or the market
- Satisfying internal policy that requires external postings even when someone internal already has the job
- Keeping a pipeline "warm" in case a current employee leaves
None of these show up in the job description. They're invisible unless you know where to look.
The signals that still work
What actually still works as a signal, even now:
- How long has the listing been up, and has it been reposted repeatedly with no real changes?
- Is the applicant count climbing with no sign of movement — no closures, no "filled" status?
- Is the salary "Not Disclosed" for a role senior enough that it shouldn't be?
- Does the job title inflate the seniority of what the day-to-day work actually is?
- Is the required skill list unrealistically broad, as if three different jobs got merged into one posting to see who bites?
These patterns are still there. They're just buried under professional-sounding text now, which means you have to read past the polish, not just the surface, to catch them.
That's the exact gap we built The Barrier to close — it reads a listing the way you'd have to, if you had the time to check every one of these signals yourself.
Add The Barrier to Chrome →Ghost jobs: quick answers
What is a ghost job?
A job listing that stays live and pulls in resumes with no plan to fill it. Common reasons include building a resume database for future roles, signaling growth to investors, competitors or the market, satisfying an internal policy that requires external postings when someone internal already has the job, and keeping a pipeline "warm" in case a current employee leaves.
How common are ghost jobs?
In June 2025, U.S. employers reported 7.4 million job openings but made only 5.2 million hires. According to an analysis of Bureau of Labor Statistics data, nearly one in three job postings never results in a hire, and that gap has held between 28% and 38% every month since 2021.
Why are ghost jobs harder to spot in 2026?
Companies and scammers now use AI to write job descriptions, so listings read as polished, grammatically flawless copy. The old tells, like bad grammar or a vague company with no real website, no longer give them away.
How can you tell if a job posting is a ghost job?
Check how long the listing has been up and whether it has been reposted repeatedly with no real changes; whether the applicant count keeps climbing with no sign of movement; whether the salary is "Not Disclosed" for a role senior enough that it shouldn't be; whether the job title inflates the seniority of the day-to-day work; and whether the required skill list is unrealistically broad, as if three jobs were merged into one posting.