When Suzie Linville’s phone rang, the voice on the other end was polished, attentive, and remarkably sharp. The recruiter asked the standard suite of first-round questions: How do you handle conflict? Can you walk me through your management philosophy? Do you regularly implement AEO and GEO optimization?
Linville, a 47-year-old contract worker from New York who has spent two grueling years navigating the modern job market, was impressed. The dialogue felt fluid, perhaps even better than most human recruiters she had encountered. It was only later, after her fifth or sixth nearly identical interaction with corporate gatekeepers named “Amber” and “Janet,” that the uncanny reality set in.
She wasn’t talking to humans. She was auditioning for algorithms.
“I stopped job hunting entirely this year,” Linville admits. “I just can’t stand the AI. They ask about your personal tech stack, but they won’t give you a single detail about the actual hiring manager or the company.”
One frustrated applicant said two high-profile tech jobs she interviewed for in September 2025 are still listed on LinkedIn. “My question is, do you think they are doing this to train their AI systems to get better at screening candidates or something along those lines?” she said in an email. “It’s strange to me that they’d be posted this long and given so many people I believe are out of work, it wouldn’t take long to fill.”
The AI and tech jobs market is entering a painful, three-to-five-year transition period defined by a severe shortage of openings and rapid technological shifts, according to Lori Jennings, an AI, cyber, and tech executive recruiter. Jennings notes that employers are struggling to define their hiring needs as AI continuously evolves, resulting in a major misalignment between available job skills and corporate expectations. This current crunch follows a volatile pandemic-era cycle of severe labor shortages followed by mass layoffs from over-hiring. The instability is further compounded by desperate job seekers submitting dozens or hundreds of applications, though Jennings emphasizes that the core issue remains a fundamental lack of available positions.
Meanwhile, the traditional gatekeepers of corporate America are being quietly replaced. The recruiting landscape has expanded rapidly past the primitive text-box widgets of the late 2010s.
Gartner projects that by 2028, one in four job candidates worldwide will be fake (AI-generated profiles, deepfake video interviews, fabricated work histories).
Today, companies rely on autonomous conversational AI agents and interactive video avatars to handle “top-of-funnel” hiring. Tools like SmartRecruiters’ Winston Chat, Pin, and Mokka independently scan massive databases, deploy hyper-formal outreach emails, and text candidates to schedule automated phone screens.
For employers, the appeal is obvious: these tools drastically slash time-to-hire metrics. Platforms like Ribbon AI simulate real-time human conversations by generating contextual, unscripted follow-up questions, while Zoom-integrated software like BrightHire Screen generates automated transcripts and AI scorecards for human HR departments to review later. Yet, for the candidates trapped inside this digital matrix, the experience oscillates between highly efficient and deeply dystopian.
On online forums like Reddit’s r/recruitinghell, a vocal contingent of job seekers recount Kafkaesque nightmares. In one viral incident, a candidate undergoing an AI voice screen was abruptly cut off mid-sentence by the bot shouting, “That’s great. Next question.” When the applicant attempted to finish their thought, the algorithm cheerfully repeated, “No worries. Let’s move on,” before completely hanging up when the human demanded to speak to a real person.
Compounding this frustration is the rising tide of ghost roles. Job seekers frequently find themselves caught in data-harvesting loops where PR agencies and corporate entities deploy AI bots like Talent Pluto to harvest resumes via fake LinkedIn listings, building talent pipelines for positions that do not actually exist.
“The job market is hard enough for candidates with AI screening having transformed the process both for good reasons and bad,” Steven Dickens, CEO of HyperFRAME Research, said in an email. “What does need to change is ‘virtue signaling’ job postings. Vendors are taking a buffeting in the media when they do AI driven layoffs and part of the PR narrative is ‘it’s about a rebalancing of our workforce, we have open jobs we are currently recruiting for.’ This leads to ‘ghost jobs’ being posted that are never going to be filled. This needs to stop. It’s beyond disrespectful to candidates.”
“The other dynamic that needs to stop is asking candidates to do free consulting work as part of the interview process,” Dickens said. “No recruiter needs to see a detailed deck on how the company positions itself or how to address a particular business problem. This ‘knowledge harvesting’ puts an undue burden on candidates, and the value transfer is not a healthy dynamic.”
Indeed, the corporate shift toward automation has revealed an unexpected plot twist: a significant portion of candidates prefer machines.
Data and exit surveys from avatar-interview platforms like Tengai and Humanly show a surprising countertrend. For many, interviewing with a realistic, demographic-neutral digital avatar drastically lowers performance anxiety. Job seekers from minority backgrounds and neurodivergent candidates frequently report feeling a sense of relief. In their view, a machine lacks the capacity for subconscious human bias—it doesn’t judge an applicant’s ethnicity, physical appearance, or lack of traditional eye contact, focusing strictly on the substance of the answers.
Naturally, human ingenuity has found a way to fight back, triggering a bizarre technical deadlock. On TikTok and YouTube, viral videos demonstrate tech applicants using real-time large language models during asynchronous video screens like HireVue. As the AI interviewer poses a question, the candidate’s personal AI listens through an earpiece, transcribes the prompt, and flashes a bulleted script onto the screen to read aloud.
It is the ultimate corporate paradox: an AI bot screening a human, who is secretly being coached by an AI bot, to secure a job where they will inevitably use AI tools. But for exhausted job seekers like Linville, the novelty has worn thin, leaving behind a cold, hyper-polished landscape where the human touch is increasingly luxury tech.
Although AI is making recruiting faster, it’s also making it easier for bad actors to create convincing fake job listings and for candidates to submit highly polished applications without having the skills to back them up, according to Dice President Paul Farnsworth.
“AI is a valuable tool for helping recruiters work more efficiently, but it can’t replace the conversations and judgment needed to verify that a role is legitimate or that a candidate truly has the experience they’re presenting,” Farnsworth said in an email. “As AI becomes part of how we all work, the organizations that strike the right balance between AI-driven efficiency and human judgment will be the ones that build the strongest teams.”