Job searching used to feel like a transaction: effort in, opportunity out. Now it often feels like shouting into a void. In this episode, Josh argues that hiring isn’t just dysfunctional—it’s starting to resemble a classic market failure, where companies absorb almost no cost for bad behavior while candidates absorb all of it. He breaks down how ghost jobs, opaque AI screening, and endless silence create a system built on information asymmetry and misaligned incentives. And then, a rare twist: Ontario, Canada introduces a new law that forces employers to disclose salary ranges, admit when AI is used, confirm whether a job is actually vacant, and stop ghosting candidates—or face serious fines. It’s a reminder that when the market won’t fix itself, something else has to.

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.

Work is starting to behave like a scarce resource—and companies are adjusting their metabolism accordingly. In this episode, Josh explores how AI, short-term incentives, and belt-tightening are accelerating the unbundling of jobs into fractional roles, contractors, and piecemeal tasks. What once looked like flexibility and “portfolio careers” is starting to resemble something else: an uberification of work where organizations can buy talent in slices, avoid long-term commitments, and offload risk onto individuals. Josh unpacks why this shift feels sudden, why it may be structural rather than temporary, and what it means when stability becomes a perk instead of the baseline.

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.

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.