The Job Isn't Real. The Desperation Is.

I lost my job. Almost immediately, the bots showed up.

They arrived dressed as recruiters — names, headshots, employment histories, job titles pitched to sound reassuring, opening lines pitched to sound warm. My background “stood out,” they said. My experience aligned perfectly with something they were recruiting for right now. They congratulated me before I had done anything. They praised qualifications they hadn't actually read. They floated numbers: $160,000. $200,000. Once, $400,000.

For a few seconds, that's the most valuable thing you can hand someone in a job search. Not a job. Hope.

Then they tried to sell me a résumé.

This is one of the uglier things artificial intelligence is doing right now, and it's spreading fast across LinkedIn and email. Call it what it is — not spam. Spam is honest about its indifference. It throws the same pitch at everyone and waits for one bite. This is worse. It simulates personal interest, professional judgment, human concern — machinery built to counterfeit care, aimed at people who are financially and emotionally exposed.

The script barely varies.

Flattery first. Your background stood out. Your experience is impressive. You look like a strong match. Then a few questions — what role are you after, when can you start, what's the number you want. Answer honestly, and the machine hands your own answer back to you a few minutes later, dressed up as an opportunity. Say you want a remote UX leadership role at $160,000, and — what luck — a remote UX leadership role appears, paying $160,000 to $180,000. The job description runs thousands of words. Leadership. Stakeholder engagement. Commercial impact. Design governance. Accessibility. Risk. Compensation. The first six to twelve months, mapped out for a job that does not exist.

It doesn't read like a job posting. It reads like the output of a very long prompt.

One of these listings, dressed in all that polish, included a link to reference-url-citation.invalid. Not a careers page. A fossil — what's left behind when a machine invents a citation and nobody, human or otherwise, checks the work.

Say yes, and the trap tightens. Suddenly the résumé that supposedly caught someone's eye isn't good enough anymore. The structure is “too basic.” The summary “lacks impact.” The accomplishments aren't measurable. The template is unpolished, riddled with clichés, out of step with “modern ATS standards” — a phrase built to sound technical and mean nothing.

The speed is the tell. One stranger on LinkedIn asked to review my résumé at 4:20 p.m. I sent it at 4:37. By 4:52 she had diagnosed extensive problems throughout the document — fifteen minutes, apparently, being enough time to conduct a comprehensive executive résumé analysis and identify that what I really needed was a specialist she happened to know.

That specialist is the destination. The job was bait.

Other versions ask for a “Letter of Interest.” A “Statement of Qualifications.” A “Personal Brand Statement.” A “Professional Achievement Summary.” These arrive framed as urgent, sometimes after a hiring manager who does not exist has supposedly already approved the candidate. Then comes the offer to connect you with a trusted expert who can whip the document into shape.

The language is built to sound helpful while it manufactures insecurity. Your experience is strong, they say, but you're presenting it wrong. The opportunity is real, they imply, but your documents are holding you back. You're almost there. You've been approved. You've been prioritized. The employer is interested. All that stands between you and six figures is the paid service the next person in the chain happens to sell.

This isn't recruiting. It's a confidence trick with a résumé at the center of it. And AI is what makes it cheap enough to run at scale.

A human scammer had to spend time on each mark. Generative AI doesn't. It writes flattering introductions, bespoke job descriptions, résumé critiques, reassuring objections, and follow-up messages for thousands of people simultaneously. It mirrors your own vocabulary and salary number back at you. It fakes empathy convincingly enough to hold a conversation together — right up until you say something outside the script.

I told one of these supposed recruiters, directly: “I've had a lot of bots trying to sell me résumé services. Please don't be a bot.”

No acknowledgment. Just another enormous job description, dropped in whole.

That might be the cleanest image of what job searching with AI in the mix has become: a person asks if anyone human is on the other end, and the machine answers with more content.

The timing gives it away too. Messages land at 2 a.m. or before sunrise. Go quiet for a few hours and the recruiter sends “???” or complains about your “silence.” One claimed to have paused conversations with other candidates specifically for me — an unsolicited cold message reframed, overnight, as a personal obligation I now owed someone. I had apparently become a top-priority executive candidate without a single interview. I was also expected to answer before breakfast.

Job searching is already asymmetric and often dehumanizing on its own terms. Applications vanish into tracking software. Automated filters reject people before a human ever sees a name. Companies post jobs that are already filled, or were never real to begin with. Candidates tailor résumés and cover letters for employers who can't be bothered to send a rejection.

Now, when people turn to professional networks looking for actual human contact, they run into machines impersonating the very people who might have helped them get out of the machine.

That's the obscenity of it.

Someone who just lost a job is often afraid — about a mortgage, about health insurance, about retirement savings, about feeding a family. They might be embarrassed. They might be grieving colleagues, routine, status, a sense of who they are. When a recruiter says “your background stood out,” that doesn't land as marketing copy. It lands as proof the situation might be survivable.

The people running these funnels take that flicker of relief and monetize it.

Platforms like LinkedIn don't get to treat this as background noise. They've built an environment where a total stranger can borrow every visual signal of professional legitimacy — recruiter labels, company names, polished profiles, verification checkmarks, InMail, calendar links, algorithmically generated introductions. Once those signals can be cheaply faked around a job that doesn't exist, they stop meaning anything at all.

LinkedIn is busy selling AI tools to job seekers and recruiters alike, which means it has a particular obligation here: distinguish assistance from impersonation, recruiting from lead generation. Accounts that repeatedly dangle opportunities and then route people to paid résumé services should get scrutinized. Recruiters should have to name the employer, disclose whether they're actually authorized to represent it, and disclose any financial relationship with the vendor they're about to recommend. Job descriptions should link to a verifiable posting. Mass outreach, instant résumé teardown, fabricated citations, off-platform referrals to a “specialist” — that pattern should trigger review, not run unchecked.

Above all, nobody should have to run a Turing test every time a stranger offers them a livelihood.

A labor market runs on a baseline of trust: that a posted job might actually exist, that a recruiter represents an employer, that an interview is an interview, that professional interest isn't just the opening move of a sales pitch. AI is currently burning through that trust faster than job seekers can build defenses against it.

The job isn't real. The recruiter might not be real. The praise definitely isn't real.

The person on the receiving end is real, though.

The unemployment is real. The fear is real. The hope is real. And building a machine to counterfeit human concern, purely so that hope can be converted into a sale, isn't innovation.

It's exploitation.