I was interviewed by an AI bot for a job
AI-powered job interviews are provoking strong reactions as candidates increasingly find themselves screened by chatbots and video avatars rather than humans. Many see it as dehumanizing and a red flag about company culture, especially when employers invest no comparable time while demanding extensive unpaid work from applicants. Supporters argue that automation is a pragmatic response to overwhelming application volumes and AI-generated résumés, but even they worry about opaque bias, broken incentives in hiring, and an escalating “arms race” where both sides use bots against each other.
AI Job Interviews as Dehumanizing Signal
- Many see being interviewed by a bot as a clear red flag about company culture and how employees will be treated later.
- Interview is viewed as a two‑way process; if the company won’t invest a human, candidates infer they are interchangeable “data points.”
- Some say they would immediately exit such a process and blacklist the employer, especially if the AI use is undisclosed.
Economic Precarity and Limited Choice
- Others note that when you’re unemployed or supporting a family, you can’t afford to be picky; you’ll tolerate bad processes to get a job.
- This tension recurs: principled refusal vs. survival needs.
Hiring at Scale, Spam, and AI on Both Sides
- Employers report hundreds to thousands of applications per role, many irrelevant or fabricated with AI.
- This drives more automation: keyword filters, coding screens, AI interviews, even paper‑mail gates to deter “spray and pray” applicants.
- Candidates are also using AI: for resumes, cover letters, take‑homes, and even real‑time interview coaching. Some interviewers already see obvious AI‑generated answers.
Take‑Home Tests and Time Costs
- Strong resentment toward long, unpaid take‑homes, especially when:
- They’re sent before any human contact.
- Companies clearly don’t review many submissions.
- People who stay within stated time limits lose to those who burn entire weekends.
- Some defend short, carefully calibrated tests (≈20 minutes) and argue they correlate well with interview performance.
Bias, Legality, and Reliability of AI Assessment
- Multiple comments argue AI hiring tools are inevitably biased because they’re trained on biased human data.
- Concern that criteria are opaque and not reproducible, unlike explicit coding tests.
- Some point out potential legal issues, especially in jurisdictions that restrict fully automated decision‑making.
Alternatives and Coping Strategies
- Suggestions: rely more on referrals, smaller companies, in‑person interviews, simple technical screens, or public “gatekeeper” assessments.
- A recurring joke/serious idea: send your own AI agent to talk to their AI agent, turning it into bot‑vs‑bot and saving human time.
Broader System Critiques
- Tangents explore resource allocation, scarcity, inequality, and how limited agency over work choices fuels acceptance of degrading processes.
- Underneath the AI debate is frustration that hiring has become impersonal, opaque, and adversarial for both sides.