Let me paint you a picture of recruitment in 2028.
A company posts a job. The job doesn't exist. A candidate applies. The candidate doesn't exist either. An AI screener reviews the fake application for the fake role. It gives the fake candidate a thumbs down because the fake resume wasn't optimised for the right keywords. The hiring manager - the real one, the human one, the exhausted one - never sees any of it. They're too busy trying to figure out why they've had 3,000 applications and can't find a single person worth interviewing.
Welcome to the absurd future of work and the true #NewNormal.
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One in Four Applicants Won't Be Real
Gartner dropped a bombshell last year that should have caused mass outrage but instead was absorbed by the internet like a stone into a pond: by 2028, one in four job candidate profiles worldwide will be fake. Fabricated. Conjured up by AI tools, deepfake technology, voice synthesis, and chatbots. In some cases, operated by fraudsters trying to land a remote paycheque, or by organised crime networks, and in at least one documented case, by North Korean state actors funnelling salaries back to a weapons programme.
No, this isn't a joke. You might be competing for your next role against a North Korean spy with a deepfake face and an AI-generated portfolio.
That figure - 25% fake candidates by 2028 – might even be optimistic. Companies are already seeing hundreds of suspicious applications every week. Some experts think Gartner's number is conservative. Vijay Balasubramaniyan, CEO of voice authentication firm Pindrop, has described deepfake candidates infiltrating the job market "at a crazy, unprecedented rate." His own company caught one in a recent interview; a man named "Ivan," whose facial expressions were just ever so slightly out of sync with his words. The lag that sometimes gives away a deepfake.
Meanwhile, 6% of real candidates have already admitted to Gartner researchers that they've participated in interview fraud, either posing as someone else or having someone else impersonate them. And that's just the ones who admitted it.
Cisco is bringing back in-person interviews. Google too. I mean, who knew? Apparently, the best way to verify someone is a human being in 2026 is to be in the same room as them. At least we now have a good reason for all those return to office mandates... we wanted to make sure you’re real!!!
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It’s not just the candidates that are fake
Honestly, you couldn’t make this shit up. Not only are the candidates fakes, the jobs are fake, too. What the hell are we doing here, people?? Is this really the tech-enabled better future we were all sold?
Four in ten companies posted fake job listings in 2024. Not scam listings - real companies, real career pages, real LinkedIn posts. Jobs that didn't exist, or weren't being filled, or had already been filled three months ago. Ghost jobs. Phantom postings. And you thought it was just criminals who engaged in phishing scams, didn’t you!
A 2025 analysis found that 27.4% of all US job listings on LinkedIn are likely ghost jobs. That's more than one in four positions you're applying for - gone before you clicked "Easy Apply." A January 2025 Clarify Capital study found nearly one in three employers admit to posting job listings with no intention of hiring anyone at all. Woops?
The reasons? Building talent pipelines. Making the company look like it's growing. Keeping existing employees on their toes. Giving HR something to show leadership. Or, in the most deliciously honest finding from a survey of recruiters: 68% of companies believe ghost job postings have a positive impact on revenue. The company looks busy. The brand looks hot. The headcount stays flat. Everybody wins. Except the person who spent four evenings rewriting their CV for a job that was never going to be theirs.
The rate of actual hires per job posting has essentially halved in five years. In 2019, eight hires for every ten postings. By 2024, four. Since the beginning of 2024, job openings have outnumbered actual hirings by more than 2.2 million every single month. Today, job boards ads might as well be written by George R.R. Martin. A collective hallucination maintained by platforms that profit from clicks, companies that want to look relevant, and algorithms that don't distinguish between "we're hiring" and "we might hire someday if the right person falls from the sky."
Have you met a disillusioned or disgruntled job seekers recently? Yep, me too, because they're everywhere.
The Doom Loop Employers Insist on Building
Here's how the dysfunctional doom loop works....
Companies post ghost jobs to pad their pipelines. Candidates, burned by repeated silence, start using AI tools to blast out hundreds of applications at once because quantity feels like the only answer to a market that gives them nothing back. Application volumes on LinkedIn spiked more than 45% in a single year. Hiring teams, suddenly drowning in applications - many of them AI-generated, template-driven, and essentially identical - respond by deploying AI screening tools to handle the flood.
The AI screeners start filtering out candidates. Real ones. Qualified ones. SHRM found that 19% of organisations using AI in hiring have confirmed their tools screened out qualified applicants. Not suspected. Confirmed. And that's just the ones honest enough to admit it. The tools learn from historical data, which reflects a plethora of historical biases - so those biases get automated and run at scale, 24 hours a day, with perfect consistency and zero accountability.
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The candidates who survive the AI gauntlet aren't necessarily the best ones. They're just better at gaming the AI. 41% of US job seekers now admit to using prompt injections - hidden text embedded in resumes designed to fool screening algorithms. Half of those who don't are considering it. Don’t hate the player, hate the game.
Trust has totally collapsed. Only 8% of job seekers believe AI screening makes hiring fairer. Nearly half say their trust in hiring has dropped over the past year - rising to 62% among Gen Z entry-level workers, the very people the system is supposedly trying to welcome into the workforce. And 66% of US adults say they'd simply avoid applying to any job they knew was using AI to make hiring decisions.
Two-thirds of your talent pool. Just gone. Because they've done the maths on the odds and decided the whole thing is a bad bet. Not that a minor detail like that would stop the AI gold rush.
SHRM's own conclusion? "Recruitment is broken." Their chief innovation officer put it like this: "The AI arms race does not benefit either side." Cost-per-hire is up. Time-to-hire is up. And yet the tools keep proliferating, because nobody wants to be the company that isn't using AI. The cobbler's children have no shoes, but at least the cobbler has a very impressive tech stack.
The Numbers Lie. And the Economy Doesn't Get It.
Here's the bit that should be keeping bankers and policy makers up at night - but isn’t (yet)
Ghost jobs don't just waste individual job seekers' time. They corrupt the data that governments use to understand the economy. The Federal Reserve looks at job openings data and tries to understand the state of the labour market. What it's actually looking at, at least partially, is a raft of unfilled phantom listings that says "the economy is fine, there are jobs everywhere" while most real people can't get a response to an application.
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Throw in underemployment and the jobs report is becoming a steaming pile of horseshite. The Beveridge curve - the relationship between unemployment and job vacancies - is being distorted by the sheer volume of positions that were never real. "The rise of ghost jobs is muddying the jobs report," said Dan Kaplan, senior partner at Korn Ferry. "It's making it harder for the Fed to make decisions and understand what the labour market looks like."
We are, in other words, flying monetary policy blind.
And on the other side of the ledger, 25% of job candidates being fake means applicant numbers are just as meaningless. When your ATS tells you you've had 800 applications, how many of those were real people with real intentions? Four hundred? Two hundred? Sixty? Nobody knows. The ratio of noise to substance in recruitment has become so catastrophic that the data has lost coherence. Employers are making hiring decisions based on numbers that don't mean what they used to mean. Candidates are applying to roles that don't mean what they used to mean. And everyone is wondering why the market feels so broken.
It is broken. The dashboard just doesn't say so.
The Real Victims: Real People
Lost somewhere in all this is the actual human cost. The graduate sending out 200 applications and getting three automated rejections and 197 silences. The mid-career professional who makes it past the AI screener, through two rounds of interviews, only to be ghosted by a hiring team that had no budget in the first place. The experienced candidate whose resume gets bounced because it wasn't formatted to survive a parser, or because they graduated in a year that revealed their age.
Only half of all candidates believe the jobs they apply for are even legitimate. Half. The people using your career page, reading your employer brand content, getting excited about your culture and your values and your flexible working arrangements - half of them secretly suspect the whole thing might be a lie.
And they're not wrong to wonder. Because statistically, there's a decent chance it is.
The legitimately talented candidates - the ones who won't game the system, who won't deploy prompt injections, who won't send an AI-manufactured persona to your video interview - are being systematically drowned out. They're the ones who get lost in the noise. The needle in a haystack that the magnet can no longer find. And the AI screeners, optimised for efficiency rather than discovery, are often the ones burying them deeper.
EBN
We tried to build a system to find great people faster. What we ended up with is a system that makes it harder for great people to be found at all... and caused the best ones to mostly just give up. Soon, there won’t be any point in job boards, job ads, any of it. But, oh boy, that referrals program has never looked so darn good!
What Comes Next (Brace Yourself)
The obvious response - and companies are already going there - is more AI to fight the AI. Identity verification tools. Deepfake detectors. Multi-layered fraud mitigation frameworks. Video analysis software watching for the millisecond facial lag that betrays an impostor. We are, essentially, building border control for job applications.
And when that arms race escalates - because we all know it will - what's left? We'll have AI-generated fake candidates being screened by AI fraud detectors built on AI models, with real candidates somewhere in the pile trying to get a human being to give a damn about their actual experience and skills.
The answer, by the way, is staring everyone in the face: talk to people. Cisco figured it out. Google figured it out. In-person interviews, or at minimum live video where you've verified who you're actually speaking to, remain the best deepfake defence available. Human connection turns out to be a feature, not a bug to be optimised away.
And on the employer side? For the love of all that’s holy, please stop posting jobs you're not hiring for. It seems almost absurdly simple. But the practice has become so normalised that 93% of HR professionals admit to posting ghost jobs at least occasionally. Only 2% say they never do it. We've industrialised dishonesty but still have the nerve to complain about its obvious response.
EBN
Legislation is inching forward. In the US, California, New Jersey, and Kentucky have all proposed or passed laws requiring greater transparency in job postings. Canada's Ontario is going further, essentially mandating that employers tell candidates where they stand. The FTC is paying attention. But these are early moves against a problem that is moving fast and is already entrenched.
The Trust Deficit Is the Real Crisis
Strip away the technology, the statistics, and the policy angles, and what you're left with is a trust problem of staggering proportions.
Employers don't trust that applicants are real. Applicants don't trust that jobs are real. Candidates don't trust that AI screeners are fair. Employers don't trust that AI-assisted resumes reflect actual ability. Both sides are deploying tools to deceive the other's tools, and somewhere in the middle, actual employment - one human being deciding that another human being is the right person to do work that matters - is struggling to happen at all.
Employer branding, which exists to make people genuinely want to work for your organisation, is becoming a one-way broadcast into a void of deepfakes and ghost listings. Why would anyone trust your "We're Hiring" post? Why would they believe your culture content? When the job market itself has become a hall of mirrors, every piece of content you put out exists within the context of profound scepticism.
Where recruitment is concerned, this is a genuine crisis. Not the fake candidates, not the phantom jobs, those are just symptoms. The crisis is that we have industrialised mutual deception at the very moment when finding and keeping the right people has never been more important.
And right now, nobody on either side of the hiring table quite knows if anyone else is real.
Takeaways
The job market is lying to you and you're lying back.
Fake candidates, phantom job posts, and AI-generated everything have turned hiring into a system of mutual deception that neither side fully controls anymore.
Ghost jobs aren't a glitch. They're a strategy.
Four in ten companies posted fake job listings in 2024. Most recruiters admit it. Many think it's fine. The jobs board is now part talent pipeline, part theatre.
AI didn't fix recruiting. It weaponised the problem.
Screening tools that were supposed to cut through the noise are blocking real candidates, automating old biases, and driving applicants to game the very systems meant to evaluate them.
The economic data is broken and nobody's saying it loudly enough.
Ghost jobs are distorting the numbers policymakers use to read the labour market. The jobs report is becoming fiction. We're flying monetary policy on a broken instrument panel.
Real candidates are losing and the system can't tell.
The people who won't fake it, won't prompt-inject, won't deepfake their way through an interview are being drowned out. Honesty has become a competitive disadvantage.
The answer was always human. We just forgot.
Cisco. Google. In-person interviews as a security measure. When the technology fails, the oldest tool in recruiting - actually talking to a person - turns out to still be the best one.
