AI and the Job Hunt: A Cautionary Tale

The story starts with a man named Derek Mobley, who has never met the writer but shares a common frustration: artificial intelligence seems to decide who gets hired and who doesn’t. Mobley sued a major hiring platform because he felt the system was unfairly rejecting older applicants in the name of efficiency. The lawsuit has grown into a class action, and the writer now joins it. The writer’s own job search began at 60, armed with a law degree, a veterinary doctorate, years of communication work, two businesses, and even a Pulitzer. She expected that her diverse background would open doors in scientific writing or public‑policy roles. Instead, she found herself facing automated rejections from platforms like Workday, Dayforce, Monster and others. No human ever looked at her résumé; the software skimmed only the last decade of experience and flagged her as a mismatch.A career coach offered three quick fixes: remove the veterinary part of her résumé, drop all dates and keep only ten years of work history, and even dye her hair. The first two changes yielded interviews, but they didn’t lead to a good fit. After some time, she decided to retire and look for part‑time work that matched her interests. When a zoo posted a part‑time ungulate keeper position, she applied. Her résumé highlighted her animal‑care skills and explained that the lower pay was acceptable because she was retired. Yet it was rejected at midnight, proving the algorithm had removed it from consideration long before any human review. This pattern shows that AI’s promise of fairness can become a hidden barrier. The technology may save time for employers, but it also risks excluding qualified candidates and reinforcing biases. A new bill in the legislature could require more transparency and accountability from these systems, protecting people who might otherwise be unfairly sidelined. The writer hopes lawmakers will act decisively to prevent AI from becoming a gatekeeper that harms those who rely on fair hiring practices.