Applying for jobs used to mean competing with other people. Now, it often means competing with machines. In this episode, Josh looks at how AI has turned the job search into an arms race—where applicants experiment with prompt injection, keyword stuffing, and other tactics just to get a human to look at their résumé. He revisits Nathan, an AI researcher who’s tracked his response rates down to the percentage point, and explores why even small changes—like leaving in typos—can feel worth trying in a black-box system that offers no feedback. Along the way, Josh examines how “defensive cheating” is spreading, why recruiters are divided on whether these tactics are clever or deceitful, and what gets lost when hiring becomes a game of outsmarting bots instead of finding capable humans.

About The Job Market Sh*t Show

The Job Market Sh*t Show: How AI Broke Hiring and What Might Be Next is an investigation into how hiring actually works now, how AI and automation have upended the process, and why the old rules no longer apply. It blends reporting, analysis, and firsthand stories from inside a labor market that’s increasingly algorithmic, opaque, and indifferent to the people moving through it—while asking what, if anything, might replace a system that no longer seems to work for humans on either side of the process.