The Atlantic’s September 2025 line “Young people are using ChatGPT to write their applications; HR is using AI to read them; no one is getting hired” perfectly captures the absurd loop defining today’s entry-level and white-collar job market.
On one side, job seekers especially young candidates facing stiff competition and long stretches of unemployment turn to generative AI tools like ChatGPT. They use it to craft polished résumés, tailor cover letters, answer application questions, and even rehearse interviews. Tasks that once took hours of careful personalization now happen in seconds, letting applicants flood dozens or hundreds of applications. Many report that AI generates more “professional” text than they could themselves, making it feel like survival in a numbers game where simply being noticed seems impossible.
On the other side, HR departments, swamped by this very flood of applications, rely on AI to manage it. Applicant tracking systems scan for keywords, rank candidates, and filter mismatches. Some algorithms even evaluate tone, structure, or conduct preliminary video interviews by analyzing speech patterns and facial cues. HR leaders also use AI to draft job postings, schedule interviews, and handle early assessments. The goal is efficiency: process thousands of applications without human review.
The irony and the tragedy is that both sides feed the same machine yet accomplish little. Applicants generate AI-optimized content to beat filters. Recruiters build smarter algorithms to detect it. The result is stalemate: applications pile up, but few reach a real human. Cover letters, once a chance to showcase personality or fit, now sound eerily similar polished but bland, keyword-stuffed but soulless. Researchers call this the “collapse of signaling mechanisms”: what used to predict hiring success no longer does. Some companies have even dropped cover letters entirely, deeming them useless.
This creates a vicious cycle. The harder it is to reach a human, the more applicants spam AI-generated applications. The more spam arrives, the stricter the filters become. No one wins: job seekers remain unemployed, companies complain about talent shortages despite overflowing inboxes, and genuine matches disappear in the noise. It is like two people shouting through megaphones in a crowded room louder, more processed, and less comprehensible.
The absurdity runs deeper. AI was sold as a tool to augment human work, remove drudgery, and make processes smarter. Yet in hiring, it has stripped away the human elements that matter most: nuance, creativity, personal story, and judgment. What remains is a dehumanized gauntlet where machines talk to machines and candidates wait on the sidelines. The Atlantic called it a “Tinderized job-search hell” swipe right on avatars and algorithms, hoping for a match that rarely comes.
The ultimate irony is this: in trying to outsmart the system, both applicants and employers have built a system that outsmarts everyone. Hiring a fundamentally human process of trust, fit, and connection has become an AI-mediated arms race where the only certainty is stasis. Until both sides step back and reintroduce actual conversation, the loop will continue, and the punchline remains bitterly true: everyone is using AI to get hired, and no one is getting hired.
