Justin Wolfers sits down for The Professor Is In to answer your follow-up questions about labor's declining share of income — the reason a soaring market can coexist with wages that feel stuck. He explains that this isn't just an American story: across industrialized countries, workers have been getting a smaller cut of the pie for decades, which points less to any one country's politics and more at shared forces — bigger "superstar" firms, weaker union bargaining power, and a shared intellectual culture across the developed world.

Justin also unpacks monopsony power — what happens to your wages when only a handful of employers are hiring near you — with the classic example of Hershey, Pennsylvania. Then he gets to what we can actually do about it: stronger, more constructive unions, Australia's superannuation system that turns workers into owners of the stock market, and the "MeganBot 2000" thought experiment that shows why AI could either be utopia or dystopia depending on one very important thing — ownership.

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The stock market keeps breaking records, but your paycheck doesn't feel like it. In this episode of Diving In, Justin Wolfers explains that disconnect with one number: labor's share of income has fallen to 54.4 cents on the dollar, the lowest share on record. And it’s significantly less than the two-thirds that was common for most of the last century.

Justin fires up the actual data to stress-test the claim — accounting for depreciation and tax-driven accounting tricks. But the decline is real and still stands. Then he sizes what it means for you: a five-point drop in labor's share works out to about $10,000 a year in lost wages for the average worker — while the gains flow overwhelmingly to the very top, where the richest households collect over half of all capital income.

Why is this happening? Giant firms that grow sales faster than payroll, weaker worker bargaining power, and globalization that lets your job move elsewhere. And now AI could either make you more productive and better paid — or automate your job and hand the upside to owners. How we slice that pie is up to us.

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Cited Research:
The Rise of Pass-Throughs and the Decline of the Labor Share: https://zidar.princeton.edu/sites/g/files/toruqf3371/files/syzz2022.pdf
Not a Typical Firm: Capital–Labor Substitution and Firms’ Labor Shares: https://www.econ.queensu.ca/sites/econ.queensu.ca/files/HubmerRestrepo_NotTypicalFirm_Oct2023.pdf
Automation and New Tasks: How Technology Displaces and Reinstates Labor: https://shapingwork.mit.edu/wp-content/uploads/2023/10/acemoglu-restrepo-2019-automation-and-new-tasks-how-technology-displaces-and-reinstates-labor.pdf

One more thing: When I create these videos, I often crunch a few numbers in Stata, with whom I’ve got a paid partnership. Today, I used it to compare labor's share of income with and without depreciation.

You can follow along with me here: https://platypuseconomics.com/stata/labor_share_worksheet.pdf

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The newest inflation report is out, and Justin Wolfers walks you through what actually matters. Annual inflation is running at 3.4% — well above what the Fed wants, and high enough to explain why the checkout line still feels uncomfortable. Core inflation, which strips out food and energy to predict where prices are headed, sits at a better — but still high — 2.5%. July's monthly numbers came in almost exactly as economists expected, which is why the report is less "news" than confirmation: prices are still rising quickly, just about the way everyone thought they would.

Here's what it means for you. Prices are outpacing wages, so real (inflation-adjusted) pay has fallen over the past year — the average paycheck buys less than it did twelve months ago. Energy is the main culprit: gas is up 25% over the year, diesel 39%, and airfares have shot up on the back of it. If you're flying anytime soon, that ticket is a whole lot pricier. Justin also digs into the tariff story, the burrito discourse, a record 16% drop in lettuce prices, and the Fed's tough spot between stubborn inflation and slowing employment growth.

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In this bonus-sized episode of The Professor Is In, Justin Wolfers uses a strange, wonderful case study — the collapse of artisanal bootmaking in 1850s England — to think through what AI will do to your work, your wages, and maybe even where you live. Economic historian Hillary Vipond found that even though a new technology let each worker produce four times as much, total bootmaking jobs barely budged. But two-thirds of the old occupations vanished and were replaced by new ones. The cordswainer disappeared; the factory foreman, machinist, and riveter arrived. In our moment, that's the translator seeing wages fall and the "prompt engineer" rising in their place.

The good news: a bigger pie usually means bigger servings for workers — China's incomes rose more than tenfold as it industrialized. The catch is pace. If AI really replaces half of white-collar work in five years, as some tech CEOs claim, that's a disruption bigger than COVID or the financial crisis. ustin's plain advice: become the most AI-savvy person in your workplace, keep your skills broad rather than narrow, and double down on the basics — because AI will not take your job, but someone using AI might. 

Link to Hillary Vipond's original research: https://github.com/HillaryVipond/JMP/blob/main/Technological_Unemployment_in_Victorian_Britain_VipondH.pdf

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The July jobs report just dropped, and it's time to worry. Markets expected around 80,000 new jobs — instead, the economy lost 23,000, and revisions to the prior two months erased another 100,000 we thought we had. In this video, Justin Wolfers break down what's really going on beneath the headline: the drop in government jobs might be statistical noise, essentially all private-sector job growth is coming from healthcare and social assistance, and the falling unemployment rate is actually bad news once you look at labor force participation.

Justin also digs into a wonkier puzzle — why the payroll and household surveys are telling two different stories about American employment — and compare the US to Canada, where job growth has been roughly four times faster despite a tariff war hitting them harder. Plus: what this all means for the Fed's next move, and why (despite what you may have heard) these numbers are not being faked.

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Justin unpacks the new $100,000-a-year Truth Social API—a special "pipe" that will allow the president's posts to hit Wall Street computers a second or so before the rest of us see them. In this episode of Diving In, he explains why one second is an eternity for a high-frequency trading computer: it can read a post announcing a strike on Iran, figure out what it means for markets, and sell before the news reaches your phone.

Justin lays out three problems. It's bad for democracy — a decision your taxes paid for gets sold to whoever writes a six-figure check, to a company in which President Trump is a major shareholder. It's corrupt on its face — the president is monetizing information he holds only because he works for you. And it's bad economics: once you know some traders have paid for an edge (remember teleprompter guy?), you stop wanting to trade at all, and markets that run on trust start to wither.

At the end of the day, those Wall Street firms will get rich, and that money has to come from somewhere. And if you're not the one with the early feed, it's probably coming from your retirement account.

(A confession: I think that I said that users pay the President's company $100,000 per year. I've subsequently read the price is $100,000 per month. So it's still a problem, but 12 times larger.)

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When the CEO of Anthropic warns AI could wipe out half of all entry-level white-collar jobs, it's easy to picture the destruction. Justin Wolfers wants you to picture the other half of the story. In this episode of Diving In, he uses a carefully researched study of Victorian bootmaking — where a labor-saving sewing machine let each worker make four times as many boots — to show how a technology can completely remake an industry while total employment barely moves.

The numbers are almost eerie: about 220,000 bootmakers in 1851, and 213,000 in 1911. Yet beneath that calm surface, nearly everything changed. Cheaper boots meant more boots (that's Jevons paradox), old craft occupations vanished, and an almost identical number of new factory jobs appeared — in new places, done by the next generation. The incumbents mostly got to retire in their old trade.

None of this predicts what AI will do to your job. But it widens the range of outcomes you should take seriously, and it flags the one thing that may matter most: the pace of change. If AI moves slowly, the creative side of creative destruction has time to arrive. If it moves fast, that gentler adjustment gets much harder. Either way, it’s important to also ask what gets created, not just what gets destroyed.

Link to Hillary Vipond's original research: https://github.com/HillaryVipond/JMP/blob/main/Technological_Unemployment_in_Victorian_Britain_VipondH.pdf

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This is a conversation between Justin and Larry Kotlikoff, fellow economist and host of the Economics Matters podcast. And it was a fun one, in which Larry encouraged Justin to look both backwards and forwards. Backward at some of the work he's most proud of, and forward at the growing challenges we face as an economy and a nation.

In the process, Justin and Larry philosophized over the role of economics and the duty of economists in helping tackle some of the most pressing issues of our time. This was the kind of conversation that reminded Justin why he fell in love with economics: it’s not the models or the math, but the chance to make sense of the lives we actually live.

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Justin and Stacey are back for Off the Clock — helping you figure out what economic news to actually worry about, what you can safely ignore, and where to find some silver linings.

This week was a big one for economic news and data. Justin starts by explaining to Stacey why this latest round of tariffs is the dumbest one yet. And Stacey brings in some reporting to highlight how small businesses are struggling under the weight of constant chaos and confusion.

Then they dig into the Fed and why markets reacted so poorly to Handsome Kevin’s press conference. Finally, Justin and Stacey discuss the latest, lackluster GDP numbers and compete in a “Chart vs. Chart” contest that you get to be the judge of.

02:42 More tariff chaos and confusion
23:53 The Fed vs The Market
34:16 A disappointing GDP report
41:05 Chart vs Chart — A Friendly Competition

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Recent changes to SNAP quietly cut food assistance from 4 million Americans — 1.5 million of them children (plus elderly, disabled, and other eligible recipients who were never the intended target). In this follow-up to his earlier video Diving In to SNAP cuts, Justin Wolfers answers follow-up questions and explains how the policy actually plays out for real people.

Justin walks through why administrative burdens do so much damage: when it's harder to apply, appeal, or bring in paperwork, the people who fall off are often the ones who need help the most. He unpacks the state incentives too: tell caseworkers to reduce payment errors but say nothing about wrongful denials, states get cautious and just boot folks off. And because states run balanced budgets, shifting SNAP costs to them breaks its role as an automatic stabilizer — in the next recession, when more people need food, spending will fall exactly when it should rise.

The stakes are personal. That $6-a-day benefit is groceries for a neighbor, a kid at your child's school, a friend going through a divorce whose income just cratered. And Justin's argues that if Americans understood who's losing help and why, they might feel differently about it.

Six Dollars a Day Is Disappearing For Millions: https://omny.fm/shows/platypus-economics/the-biggest-economic-story-nobodys-talking-about-diving-in

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Donald Trump's trade representative Jamison Greer thinks about trade like a litigator: clients, injuries, bad actors, and remedies. Justin Wolfers takes Greer's own words from his recent interview with The Daily and shows why that worldview rests on muddled thinking about what trade actually is — and why it ends up costing you.

In this Diving In episode, Justin lays out the tells and discusses the bottom line. The numbers are blunt: New York Fed research finds roughly 90% of the tariff burden falls on U.S. firms and consumers, and low-income households bear a disproportionate share. Census data shows imports from China fell — but rose nearly one-for-one from the rest of the region. A lot of trade just changed addresses.

By the end you'll have a portable BS detector for any trade argument — from Trump, Vance, Greer, or your uncle at Thanksgiving.

The Daily Episode With Jamieson Greer: https://www.nytimes.com/2026/07/20/podcasts/the-daily/more-trump-tariffs-are-coming.html 

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One more thing: When I create these videos, I often crunch a few numbers in Stata, with whom I’ve got a paid partnership. Today, I used it to explore our trade relationship with China and the eleven members of ASEAN. 

Click through here: https://platypuseconomics.com/stata/trading_places_worksheet_6.pdf and you can work through the steps I followed, and build your statistical mastery.

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