Job Descriptions Are Failing Us All

Job descriptions are supposed to clarify what a company needs. But what if they’re just educated guesses? In this episode, Josh looks at how AI is quietly breaking one of the most fundamental parts of hiring: defining the role itself. Drawing on stories from job seekers and hiring managers, he explores why candidates are getting rejected for jobs they already had interviews scheduled for, how roles are being rewritten mid-process, and why companies often don’t actually know what they’re looking for. AI may be speeding up job descriptions and postings, but it’s also removing the friction that once forced better thinking. The result is a system where confusion gets scaled, candidates absorb the cost, and hiring becomes a loop of trial and error—without anyone admitting that the job was never clearly defined in the first place.

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.