AI-Powered Ghost Jobs Are Rigging America’s Official Labor Data

(SeaPRwire) –   By: Damian Finch

Arizona Sen. Ruben Gallego’s recent letter to the Trump administration cuts through the noise of official labor reports. Ghost jobs—listings employers have no intent to fill—are warping how we track hiring and vacancies. Online job platforms profit from every posting, so they have little incentive to root out fake listings. This isn’t just a nuisance for job seekers; it’s distorting data policymakers use to set economic policy.

New data from Resume Builder shows 40% of U.S. employers posted at least one ghost job last year. That’s a sharp jump from just a few years ago, when fake listings were a rare edge case. The Bureau of Labor Statistics reported 7.6 million openings in April, but only 5.1 million hires followed. Roughly one in three advertised roles never led to a new employee.

Gallego’s letters point to AI hiring tools as a key driver of the ghost job boom. Employers can now auto-post listings with minimal effort, leaving them up for weeks or months without active recruitment. This cuts down on their own hiring workload, but it clogs up job boards with useless openings. Job seekers waste hours applying to roles that will never be filled.

Gallego has asked the Department of Labor and FTC to investigate the scope of ghost jobs. He’s also questioning whether official labor data can still be trusted if it counts fake listings as real vacancies. The current regulatory framework has no clear rules against deceptive job advertising. Most states have barely updated their laws for automated hiring platforms.

Young college graduates have felt the brunt of this trend first. The Federal Reserve Bank of New York reports their unemployment rate has edged up even as overall employment stays strong. Economists say remote and hybrid work, not just automation, is slowing entry-level white-collar hiring. Nearly half of CEOs surveyed in May said economic conditions are worse than six months ago. They cite the Iran war, energy costs and AI as top uncertainties.

Until regulators force job platforms to police their listings and hold employers accountable, official labor data will remain an unreliable tool for policymakers and job seekers alike.

Author bio: Damian Finch, a growth-equity analyst tracking enterprise SaaS metrics and marketplace economics.