If a person produces X and AI produces X faster and cheaper, the math is simple. Replace people with AI. Except the equation isn't true.

This week Josh covers AI Leadership Skill #4: Know the Value of Your People — the latest entry in The Sh*t List, the paid Substack companion to The Job Sh*t Show.

It starts with a simple question: what does a doorman actually do? Holding the door is the job description. But anyone who's worked with a good one knows it's wayfinding, security, recognition, relationship. The job description captures maybe 20% of the value.

The same is true for almost everyone on your team.

Klarna learned this the hard way. They cut 700 customer service jobs in 2023, started rehiring in 2024, and their CEO admitted they moved too fast. Forrester's 2026 Future of Work report found that 55% of employers regretted AI-driven layoffs — and one in three spent more on rehiring than they saved from the cuts.

The value was there. It just wasn't on the dashboard.

AI might finally be forcing businesses to see what was always true: people are relational, contextual, and accountable in ways that don't show up in any metric. And the leaders who figure that out first won't be the ones scrambling to rehire.

The full piece on The Sht List includes three principles Josh is urging every leader to understand right now — and five questions that will help you see your people beyond the spreadsheet. Link in the description. If you're not on The Sht List yet, this is a good week to start.

About The Job Sh*t Show

The Job Sh*t Show is an investigation into how finding, keeping, and doing work is changing faster than anyone is admitting — and what that actually looks like for real people on the ground. The Sh*t List is a paid Substack for leaders who want to stay ahead of what AI is doing to the workplace — and actually do something about it. Every other week, subscribers get a new AI Manager Skill: one practical, field-tested move for leading your team better in an AI world.

Mark Zuckerberg called it a budget trade-off. Jack Dorsey cut 4,000 jobs. Salesforce slashed its support headcount from 9,000 to 5,000. ServiceNow's CEO celebrated agents that don't need lunch or healthcare. The story these CEOs are telling is that AI made the cuts necessary. But the productivity numbers don't show it — and the pattern of how new technology actually gets adopted suggests we've been here before.

In this episode, Josh argues that CEOs aren't lying about where AI is going. They're lying about where it is right now. Drawing on research from the National Bureau of Economic Research, the San Francisco Fed, and a pattern that goes back to electric motors in the 1880s, he makes the case that every general purpose technology produces a dip before it produces a gain. The companies cutting the deepest aren't building toward an upswing — they're funding data centers, telling a story to Wall Street, and quietly eliminating the institutional knowledge, domain expertise, and human judgment that would have gotten them through the dip in the first place. The J-curve doesn't care about earnings calls. And the people who would have led the transformation won't be there when the curve finally turns up.

You can't cut your way to the future.

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.

For 50 years, organizations have chased one thing: efficiency. More output, less friction, faster everything. And it worked — until it didn't.

In this episode, Josh sits down with organizational change expert Josh Allen Dykstra at a live conference to trace how we got here: from Milton Friedman's 1970s shareholder mandate to a workplace so optimized for productivity that there's no room left to think, experiment, or breathe. Then AI showed up — not as the cause of the crisis, but as the thing that finally makes it impossible to ignore. Because you cannot out-efficiency the machine. The conversation gets practical fast: what leaders can actually do inside broken systems right now, why restraint is the skill no AI can replicate, and why the real move isn't to work more like a robot — it's to stop. The organizations that figure that out first won't just survive this moment. They'll be the ones who define what work looks like next.

About The Job Sh*t Show

The Job Sh*t Show is an investigation into how finding, keeping, and doing work is changing faster than anyone is admitting — and what that actually looks like for real people on the ground. The Sh*t List is a paid Substack for leaders who want to stay ahead of what AI is doing to the workplace — and actually do something about it. Every other week, subscribers get a new AI Manager Skill: one practical, field-tested move for leading your team better in an AI world.

The résumé was already broken before AI showed up. Now it might actually be on its way out.

In this episode, Josh looks at the first viable replacement he's seen — not a shinier LinkedIn profile or a better-optimized PDF, but something closer to a behavioral fingerprint. A system that stays with you across your career, learns how you actually work, and advocates for you to employers using verified evidence instead of bullet points you stretched to fit a job description. Drawing on a lecture from the founder of Inspire AI, Josh explores what longitudinal profiling could mean for candidates, why the two-sided market problem is the real obstacle, and what you can start doing right now before the technology catches up. The résumé isn't just a formatting problem. It's a representation problem. And for the first time, there's a hint of something better.

About The Job Sh*t Show

The Job Sh*t Show is an investigation into how finding, keeping, and doing work is changing faster than anyone is admitting — and what that actually looks like for real people on the ground. The Sh*t List is a paid Substack for leaders who want to stay ahead of what AI is doing to the workplace — and actually do something about it. Every other week, subscribers get a new AI Manager Skill: one practical, field-tested move for leading your team better in an AI world.

The last thing your people need is another training.

This week Josh previews AI Leadership Skill #2: Let Your Team Lead, the latest entry in The Sh*t List, the paid Substack companion to The Job Sh*t Show.

It's built around a conversation with Jeffrey Roach, SVP of Healthcare Solutions at RisePoint, where he helps colleges and universities modernize for the real world. When Jeffrey asks leaders how often they're actually teaching AI, the answer is almost always the same: "Well, we talk about it."

Talking about AI and actually learning it together are not the same thing. And the gap between them is bigger than most leaders realize.

His advice? Ask your team. Not a survey — a real conversation. Jeffrey did exactly that with his own team of 13 and discovered some of them had access to a resource he didn't even know existed. He'd been managing them for months.

Your team already knows more than you think. You just don't know who's ahead and who's stuck — because you haven't made it something you do together.

The full piece on The Sh*t List walks through three specific moves to turn your team from an audience into co-designers of their own AI fluency. Link in the description. If you're not on The Sh*t List yet, this is a good week to start.

About The Job Sh*t Show

The Job Sh*t Show is an investigation into how finding, keeping, and doing work is changing faster than anyone is admitting — and what that actually looks like for real people on the ground. The Sh*t List is a paid Substack for leaders who want to stay ahead of what AI is doing to the workplace — and actually do something about it. Every other week, subscribers get a new AI Manager Skill: one practical, field-tested move for leading your team better in an AI world.

When Anthropic dropped Claude Design and OpenAI released Images 2.0, something shifted. The ability to create professional-grade visuals — the kind that used to require years of training and hard-won expertise — got handed to everyone.

In this episode, Josh argues that AI isn't replacing creative experts. It's promoting them. The people with real taste, real vision, and the language to describe what they want are about to have a very good 12 to 18 months. After that, the tools catch up. And the only thing left that can't be automated is the ability to imagine something that doesn't exist yet. The new currency isn't who can use the tools best. It's who can see what hasn't been made.

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.

Most leaders are using AI to go faster. This skill is about going deeper.

Coach Your People With Better AI is the first entry in The Sh*t List, the paid Substack companion to The Job Market Sh*t Show. It starts with a simple question: what if, before your next difficult one-on-one, you spent 15 minutes with an AI tool working through everything you actually know about that person?

This one's built around a conversation with Kathrin Fleer, who spent 12 years leading luxury retail teams for Saint Laurent and Tiffany & Co across Europe. What she said about the ceiling every manager eventually hits — and where AI fits in — stuck with Josh.

The full piece includes four specific prompts and a framework you can use before your next one-on-one. If you're not on The Sh*t List yet, this is a good week to start.

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. The Sh*t List is a paid Substack for leaders who want to stay ahead of what AI is doing to the workplace — and actually do something about it. Every other week, subscribers get a new AI Manager Skill: one practical, field-tested move for leading your team better in an AI world.

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.

AI is supposed to help people get jobs. But what if it’s making it harder to tell who’s real? In this episode, Josh looks at how AI is creeping beyond résumés and into interviews—and even the work itself. Drawing on stories of impersonated candidates, AI-assisted cheating in technical interviews, and coordinated efforts to land remote jobs at scale, he explores how trust is breaking down across the hiring process. As companies respond with surveillance, in-person interviews, and increasingly strange screening tactics, the system starts to feel like an arms race with no clear winner. AI may be improving access and efficiency, but it’s also eroding the one thing hiring depends on most: knowing who you’re actually hiring.

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.

Job titles used to tell you what a job was. Now they often raise more questions than answers. In this episode, host Josh Levine looks at the rise of strange, sprawling, and sometimes absurd job titles—and what they reveal about how quickly work is changing. Drawing on conversations with job seekers, coaches, and operators inside companies, he explores why organizations often don’t actually know what they’re hiring for, how AI and rapid change are reshaping roles faster than systems can keep up, and why candidates are being filtered for jobs that aren’t clearly defined. The bigger shift isn’t just in titles—it’s in identity. As roles become fluid and expectations blur, the people who move forward may be the ones willing to redefine themselves before the market does it for them.

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.