AI and the Job Hunt: A Cautionary Tale
Derek Mobley is a name you may not have heard, but his frustration echoes that of many: “AI decides who gets hired.”
He sued a leading hiring platform for allegedly rejecting older applicants, claiming the system favored efficiency over fairness. The case has evolved into a class action, and the writer—who’s now part of that lawsuit—shares her own battle.
A 60‑Year‑Old Lawyer With a Veterinary Doctorate
- Background: Law degree, veterinary doctorate, communications experience, two businesses, a Pulitzer.
- Expectation: Doors to scientific writing or public‑policy roles would swing open.
- Reality: Automated rejections from Workday, Dayforce, Monster, and others. No human ever saw her résumé; the software skimmed only the last decade of experience, flagging her as a mismatch.
Quick Fixes That Failed
A career coach suggested:
- Remove veterinary credentials
- Drop all dates, keep only ten years of work history
- Dye her hair
The first two changes did yield interviews, but none led to a good fit. Eventually she retired and sought part‑time work aligned with her interests.
The Ungulate Keeper Position
- Job: Part‑time ungulate keeper at a zoo.
- Resume: Highlighted animal‑care skills; explained lower pay was acceptable due to retirement.
- Outcome: Rejected at midnight—algorithm removed it before any human review.
The Bigger Picture
AI’s promise of fairness can become a hidden barrier:
- Efficiency vs. Equity: Employers save time, but qualified candidates are excluded.
- Bias Reinforcement: Algorithms may perpetuate age and other biases.
A new legislative bill could demand transparency and accountability, protecting those who might otherwise be unfairly sidelined. The writer hopes lawmakers act decisively to prevent AI from becoming a gatekeeper that harms fair hiring practices.
