Viral TikTok videos of glitchy AI bots interviewing job candidates are bringing attention to screening tech that more companies have adopted since at least 2023
slate.com/life/2025/05... @bellechere : All I ever want when applying/interviewing for a job is to talk to a real human. — This is a nightmare and I hate it. Dystopian af. @slate.com : Whatever happened to the “human” in human resources? Jason Sanford / @jasonsanford : In my reporting on generative AI, I keep saying artists and writers are the canaries in the coalmine. That what happens to us will soon happen to everyone. — Here's the first step to this happening to everyone: companies using AI deepfakes to interview job applicants. SMDH — slate.com/life/2025/05... Mastodon: Dare Obasanjo / @carnage4life@mas.to : Some companies are now having candidates interview with a deepfake AI interviewer before being sent through to a human. — It's like the first few seasons of Black Mirror were an instruction manual of products to build in 2025. 😬 — https://slate.com/... @samiamsam@mastodon.social : @Techmeme — i'm looking for a new job again — i'm finding that they don't even do interviews until you pass some bizarre question systems and/or talk like a robot spewing bullet points — they are passing up really good people who would be great employees with this bullshit … Jason Lefkowitz / @jalefkowit@vmst.io : “Another glitch video was posted by Leo Humphries, who donned a suit and tie for an interview for a job as a news reporter. But Humphries can be seen furrowing his brow as he realizes his interviewer ‘sounds robotic’ and is not the actual hiring manager he had thought he would be speaking with. … Forums: Hacker News : AI job interview: Job hunting was already hard. Then came glitching HR robots Slashdot : When a Company Does Job Interviews with a Malfunctioning AI - and Then Rejects You
Context & Ripple Effects
AI-mediated hiring is not new: universities were already adapting career guidance to application-vetting algorithms, and recent coverage described AI tools creating distrust on both sides of recruitment, including a reported near-hire involving a deepfake candidate. The viral clips make that largely back-office shift visible to applicants.
This lands amid an escalating employer-applicant automation contest, as jobseekers use generative AI to accelerate applications while employers add automated screening. The reported glitchy interviewer experiences expose the candidate-facing cost of that escalation.
First-order effects
- Candidates encountering deepfake-style interviewers face a less human initial screen, with glitches and perceived disregard for qualified applicants becoming immediate sources of frustration.
- Employers using these tools gain attention for their screening process, but must contend with candidate distrust when automated interviews fail visibly or appear to substitute for human judgment.
Second-order effects
- Recruiting teams may need to add human review or clearer escalation paths to preserve candidate confidence, especially as earlier reporting already documented deepfake-related distrust in hiring.
- As applicant-side AI and employer-side screening reinforce each other, verification and interview design become more important parts of recruitment rather than merely administrative steps.
Third-order effects
- If automated first-round interviews continue to spread, hiring may split more sharply between scalable machine triage and scarce human evaluation, making the quality and accountability of the handoff a competitive issue.
- The pattern points toward a broader contest over whether workplace AI reduces recruiting friction or compounds mistrust; public failures could constrain adoption even where automation remains attractive.
The trend: Hiring is becoming an AI-versus-AI workflow, with automated applicant production and automated employer screening reshaping where human judgment enters the process.