He Couldn’t Land a Job Interview. Was AI to Blame?

A striking development has emerged in artificial intelligence. Todd Feathers The Big Story May 5, 2026 6:00 AM He Couldn’t Land a Job Interview. Armed with some Python and a white-hot sense of injustice, one medical student spent six months trying to figure out whether an algorithm trashed his job application. Play/Pause Button Pause Animations: Erik Carter Comment Loader Save Story Save this story Comment Loader Save Story Save this story It was mid-October, peak leaf-peeping season in Hanover, New Hampshire, and Chad Markey was on a rare break between clinical rotations during his last year of medical school.

He should have been inhaling Green Mountain air and gossiping with his Dartmouth classmates about life after graduation. In a few months, they’d all be going their separate ways to start residency training at hospitals around the country. Instead, Markey was alone in his apartment, deep down a rabbit hole, preparing to go to war.

Technical Details

He’d wake each morning, eat breakfast, open his laptop at the kitchen table or settle into the tan armchair with the good back support, and start coding . Some days, he wouldn’t notice the sun had gone down until one of his roommates came home and asked why the lights weren’t on. For days, Markey had been scrolling through a Discord group about medical residency, a font of crowdsourced knowledge where students report back to their peers on every stage of the application and selection process.

He’d watched as other students, lots of them, posted about the interview invitations they’d received. Markey didn’t have any interview offers, only outright rejections. That seemed not just odd but wrong to the quiet-mannered 33-year-old from Houston, Texas, who speaks confidently about his accomplishments without bragging.

He had good grades from an Ivy League medical school, author credits on articles in the Journal of the American Medical Association and The Lancet, a heart-wrenching personal statement, and glowing letters of recommendation. One professor wrote that they had “never met a medical student who is more skillful, talented, and appropriately situated in his pursuit of the field of medicine than Chad. ” Markey combed through his application looking for a fatal flaw.

Industry Implications

He didn’t find anything he thought would prompt a residency program director to toss an otherwise competitive application, so his suspicion turned to another culprit. He’d heard rumblings that some hospitals were using a free AI screening tool to help process applications—and that it had been displaying incorrect grades for some students. He began to wonder whether AI was responsible for his lack of interview offers.

On the first page of his Medical Student Performance Evaluation, a comprehensive summary of his early career prepared by his school, Markey spotted language that he suspected might trigger an automated screening tool to downgrade his application.

This advance offers important signals about the future of the sector, and the tech world is watching closely.