WEBVTT - How the World Ran Out of Everything

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, Radio News.

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<v Speaker 2>You're listening to Bloomberg BusinessWeek with Carol Messer and Tim

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<v Speaker 2>Steneveek on Bloomberg Radio, Bill Clinton and the wto Just

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<v Speaker 2>in Time, and Lean Manufacturing Mackenzie Consultants who earned the

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<v Speaker 2>nickname the Lean Taliban China, share buybacks, increasing dividends and

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<v Speaker 2>executive compensation that has skyrocketed.

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<v Speaker 1>Well, the decline of union power and the working class

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<v Speaker 1>monopolistic takeovers, and then of course the pandemic and the

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<v Speaker 1>Great supply chain crisis. If you want to understand how

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<v Speaker 1>our world really really works today economically and politically, and

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<v Speaker 1>how we got here, then sit down, put down whatever

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<v Speaker 1>the heck you are working on. Get ready for our

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<v Speaker 1>next guest. Journalist and author Peter S. Goodman, his global

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<v Speaker 1>economics correspondent at The New York Times. His new book,

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<v Speaker 1>which neither of us, to be fair can put down

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<v Speaker 1>How the world ran out of everything inside the global

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<v Speaker 1>supply chain. He joins us here in studio and fair

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<v Speaker 1>to say we found our summer.

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<v Speaker 2>Yeah, I'm going to need another read pretty soon after

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<v Speaker 2>this one. To understand the supply chain. Peter visits seemingly

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<v Speaker 2>every link of it. He spends time in one of

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<v Speaker 2>the largest exporters of almonds in California and with the

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<v Speaker 2>dock workers who are supposed to get those almonds all

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<v Speaker 2>over the world. He hitches a ride through Kansas with

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<v Speaker 2>a Brahms loving trucker, feeds cows with a third generation

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<v Speaker 2>rancher in Montana, and eats breakfast with the commissioner of

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<v Speaker 2>the Federal Maritime Commission. He visits ports from LA to

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<v Speaker 2>Savannah to explain how the world found itself in the

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<v Speaker 2>greatest supply chain crisis it's ever seen.

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<v Speaker 1>All Right, he is here in our Bloomberg Interactive Broker studio.

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<v Speaker 1>We wanted to do the setup because it's really comprehensive,

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<v Speaker 1>and I do feel like I think it's safe to

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<v Speaker 1>say that it explains a lot of kind of where

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<v Speaker 1>we are today. So, Peter, you have had such a

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<v Speaker 1>front row seat to so much that is going on

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<v Speaker 1>in the world. Tell us about that front row seat

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<v Speaker 1>and what kind of really stands out for you. We're

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<v Speaker 1>going to kind of dig into the book specifically, but

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<v Speaker 1>that front row seat has given you really this wonderful

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<v Speaker 1>opportunity to see a lot.

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<v Speaker 3>You know, it's changed the way I look at any

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<v Speaker 3>package that lands at my door, or really any product

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<v Speaker 3>that somebody made somewhere that had to be transported to

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<v Speaker 3>a store or to a home or a business. We

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<v Speaker 3>don't tend to think about the supply chain, you know.

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<v Speaker 3>It's one of those things. It's like the light switch.

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<v Speaker 3>We're not thinking about the internal wiring. We flip it on.

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<v Speaker 3>The light's work well, when.

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<v Speaker 2>We needed it most, it failed, it.

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<v Speaker 3>Buckled, and we had frontline medical workers dealing with COVID

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<v Speaker 3>patients without protective gear. We had families unable to find

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<v Speaker 3>infant formula. I mean, that was an incredible criestion. If

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<v Speaker 3>we had a toilet paper scare, which turned out to

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<v Speaker 3>not be so much as shortage as a question of hoarding.

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<v Speaker 3>And we all remember these ships, you know, fifty sixty

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<v Speaker 3>seventy ships that were floating off the coast of southern California,

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<v Speaker 3>unable to land, floating for weeks at a time before

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<v Speaker 3>they could find a slot to load and unload all

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<v Speaker 3>these factory goods coming in from China. And I think

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<v Speaker 3>for all of us in the midst of the pandemic,

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<v Speaker 3>it was so bewildering that it gave us this curiosity

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<v Speaker 3>about these people we never think about. So, Yeah, as

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<v Speaker 3>you guys pointed out, I climbed into the into in

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<v Speaker 3>the front of a truck. I visited with rail maintenance

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<v Speaker 3>workers who were away from their families for weeks at

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<v Speaker 3>a time, and I really tried to understand what has

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<v Speaker 3>gone haywire here.

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<v Speaker 2>Peter, Know, the reason we're talking about such a complex

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<v Speaker 2>supply chain is because of globalization. And one thing that

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<v Speaker 2>Carol and I were talking about as we were preparing

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<v Speaker 2>for this was that your career has kind of coincided

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<v Speaker 2>with the rise of globalization, right being a reporter in

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<v Speaker 2>South Asia in the nineties and then post dot com

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<v Speaker 2>crash working for the Washington Post. I think it was

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<v Speaker 2>out of Shanghai.

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<v Speaker 3>That's right.

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<v Speaker 2>You visited a lot of these factories at times when

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<v Speaker 2>they weren't what they are today. Talk a little bit

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<v Speaker 2>about how you've seen that your career alongside the rise

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<v Speaker 2>of globalization.

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<v Speaker 3>Yeah, I appreciate your pointing that out. So I landed

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<v Speaker 3>in China in two thousand and one, which was the

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<v Speaker 3>same year that China of course enters the World Trade Organization,

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<v Speaker 3>this landmark, you know, moment for globalization, and it was

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<v Speaker 3>pretty clear then that China had huge aspirations and that

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<v Speaker 3>the world was flocking to China in large part because

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<v Speaker 3>you know, corporate CEOs who were constantly looking for ways

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<v Speaker 3>to cut costs availed themselves of this ultimate opportunity to

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<v Speaker 3>you know, engage Chinese labor as a way of undercutting

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<v Speaker 3>labor costs at home in the US and in Japan,

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<v Speaker 3>in South Korea, in Europe. And it was also clear

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<v Speaker 3>that the Chinese government had very systematically built out the

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<v Speaker 3>infrastructure that was needed for trades. So you know, visited

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<v Speaker 3>massive ports factories that were capable of making you know,

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<v Speaker 3>enough microwave ovens to supply Walmart for a year, you know,

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<v Speaker 3>and whole towns were you know, set up for single industries.

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<v Speaker 3>I remember going to the necktie town. There was this

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<v Speaker 3>one town in one province that was suddenly making more

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<v Speaker 3>neck ties than all of Italy, you know, in the

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<v Speaker 3>course of a decade. So you could feel that the

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<v Speaker 3>scale was was you know, a able. But what I

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<v Speaker 3>didn't understand, and what I've come to understand through this book,

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<v Speaker 3>is that all of this was premised on the idea

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<v Speaker 3>that container shipping would be basically free and reliable. And

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<v Speaker 3>what I've come to see is that, you know, we

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<v Speaker 3>built this global economy up, putting ourselves really at the

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<v Speaker 3>mercy of this international cartel.

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<v Speaker 1>Well, so go back to we did kind of a

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<v Speaker 1>laundry list coming in and there's so many different characters.

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<v Speaker 1>Henry Ford, the rumors, plant tat Ono, Toyota after World

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<v Speaker 1>War Two, McKinsey, the consultants, Bill Clinton, and the WTO,

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<v Speaker 1>and then we'll also get into mister Walker and his

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<v Speaker 1>company Glow. But if you had to pinpoint, was it

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<v Speaker 1>President Bill Clinton, former President Bill Clinton and the push

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<v Speaker 1>to get everybody or to get China in the WTO.

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<v Speaker 1>That that's why we're having this conversation. That's why when

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<v Speaker 1>the pandemic hit, we were like, what the heck happened

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<v Speaker 1>to our global supply chain? Isn't that particular moment in

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<v Speaker 1>time that God iss to hear?

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<v Speaker 3>I think that's a landmark. I mean there's a lot

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<v Speaker 3>of moments at time, right. I mean I write about

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<v Speaker 3>Ford because I was interested in the rise of mass assembly.

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<v Speaker 3>I write about the roots of the shipping container because

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<v Speaker 3>the process of standardizing cargo made it possible to go

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<v Speaker 3>look for the cheapest plays to make anything. You could

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<v Speaker 3>go anywhere around the world.

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<v Speaker 1>But if China wasn't accepted on a global scale in

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<v Speaker 1>terms of trade, right, there was a big push. There

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<v Speaker 1>were lots of concerns about human rights. There are still

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<v Speaker 1>lots of big concerns about human rights, and yet there

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<v Speaker 1>they were right in the WTO, something they fought for.

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<v Speaker 3>Well, here's the part that people are generally afraid to

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<v Speaker 3>talk about. You know, China gets into the WTO because

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<v Speaker 3>American retailers lobby like crazy to get China into the WTO,

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<v Speaker 3>and nobody wants to be affiliated with the story of

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<v Speaker 3>labor exploitation. Now, let's remember Chinese labor in American history.

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<v Speaker 3>You know, from the beginning, it's about undercutting wages. Right,

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<v Speaker 3>Chinese workers are systematically brought over from China to build

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<v Speaker 3>the railroads because the mostly Irish laborers say, ah, this

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<v Speaker 3>is pretty dangerous and we're not getting paid enough. So

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<v Speaker 3>this is a continuation of that story, you know, a

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<v Speaker 3>century later where now we're bringing the production to China,

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<v Speaker 3>and it's there's a sort of seeming unsavory quality to

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<v Speaker 3>this story because of course China is controlled by the

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<v Speaker 3>Chinese Commediest Party. There's no elections. You can get access

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<v Speaker 3>to land, you can bypass workplace and environmental standards by

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<v Speaker 3>cutting some local party official in I'm part of the sports. Well,

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<v Speaker 3>this is not a good story for Bill Clinton, who,

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<v Speaker 3>you know, only a decade before he lobbies to get

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<v Speaker 3>China into the WTO, is running as the guy who's

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<v Speaker 3>you know, disciplining George H. W. Bush for coddling the

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<v Speaker 3>butchers of Beijing. He's very critical of the crackdown against

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<v Speaker 3>the pro democracy demonstrators in Tianneman Square. Well, I tell

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<v Speaker 3>the story in the book.

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<v Speaker 1>You know.

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<v Speaker 3>It's not even a decade later, and Clinton's in Beijing

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<v Speaker 3>at a banquet at the Great Hall of the People

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<v Speaker 3>across the street from Tieneman Square, where he literally picks

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<v Speaker 3>up the baton and conducts the People's Liberation Army Orchestra

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<v Speaker 3>as they play this John Phillips south from March. Now,

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<v Speaker 3>why is Bill Clinton there? He's there because his party,

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<v Speaker 3>the Democratic Party, is pulling in massive campaign contributions from retailers,

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<v Speaker 3>and they're fashioning this story. It's not totally a fairy tale, right.

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<v Speaker 3>I mean, trade has been the lynchpin of American farm

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<v Speaker 3>policy since the end of the Second World War. But

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<v Speaker 3>there are a lot of reasons to be dubious that

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<v Speaker 3>you know, this is really about it's not just about

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<v Speaker 3>selling Chinese people lots of stuff. It's not just about

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<v Speaker 3>buying cheap goods from China. This is about democratizing China

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<v Speaker 3>once well, that was.

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<v Speaker 1>The goal, the thinking that okay, let's open up you know,

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<v Speaker 1>trade and probably democracy will come and the human rights

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<v Speaker 1>abuses will go away like that, you know, like you

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<v Speaker 1>feel like my career has kind of seen like the

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<v Speaker 1>opening of China, and that this was going to solve

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<v Speaker 1>so much, and yet it didn't necessarily play out that way.

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<v Speaker 3>Well, one part of it played out. We got really

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<v Speaker 3>low cost goods from China. The Walton family, the founders

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<v Speaker 3>of Walmart, for a while became, you know, the wealthiest

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<v Speaker 3>family on Earth, and anybody who moved production over to

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<v Speaker 3>China at scale and managed to do the right deals

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<v Speaker 3>rewarded their shareholders handsomely. That part held to form. Also,

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<v Speaker 3>not incidentally, the industrialization of China lifted several hundred million

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<v Speaker 3>people out of poverty, and that's highly significant. But the

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<v Speaker 3>part about you know, once Chinese people get a taste

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<v Speaker 3>of Kentucky fried chicken, they're going to demand the ballot

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<v Speaker 3>box well, that has not worked out, as I think

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<v Speaker 3>everyone is now a where you know, we're talking about

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<v Speaker 3>genocide according to the Biden administration in Hinjong, where the

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<v Speaker 3>Wigers are pressed into forced labor to produce cotton that

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<v Speaker 3>ends up in lots of apparel. Of course, we still

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<v Speaker 3>don't have elections. The central government has actually strengthened its

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<v Speaker 3>role in Chinese society, so we don't hear that talk anymore.

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<v Speaker 3>And of course now it's become politically fashionable within both

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<v Speaker 3>parties to attack China as our enemy. One.

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<v Speaker 2>Peter, you mentioned concentration in shipping. I believe you called

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<v Speaker 2>it a cartel. I had no idea before reading this

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<v Speaker 2>that it was basically what three companies.

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<v Speaker 3>Three alliances that control a bunch of companies. But think

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<v Speaker 3>of it like airline alliances.

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<v Speaker 2>Three alliances that control basically all.

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<v Speaker 3>Of shipping ninety five percent of the shipping from China

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<v Speaker 3>to the West coast of the United.

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<v Speaker 2>States, some of them some of the companies owned by

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<v Speaker 2>China or like our state subsidized organizations. How did it

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<v Speaker 2>become like that?

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<v Speaker 3>It became like that because there was deregulation pretty much everywhere,

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<v Speaker 3>including in the US, where you know there used to

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<v Speaker 3>be this anti trust exemption, but there was regulation on

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<v Speaker 3>shipping rates, so you had to post what your rates

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<v Speaker 3>were from one place to another. You couldn't negotiate a

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<v Speaker 3>deal in secret. It was all above board, sort of

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<v Speaker 3>like a utility, right, like, the governments involved because this

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<v Speaker 3>is a vital part of the economy. And then basically

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<v Speaker 3>retailers lobbied. There were a couple of landmarks. The last

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<v Speaker 3>one was in the eighties. There was no Amazon then,

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<v Speaker 3>but there was Walmart target. The big retailers thought, well,

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<v Speaker 3>if we're bringing over lots of these factory goods from

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<v Speaker 3>China to the West coast of the US to the

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<v Speaker 3>East coast of the US, we would like to be

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<v Speaker 3>able to negotiate a better deal than the smaller competitors.

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<v Speaker 3>So essentially we've optimized the supply chain for the biggest companies,

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<v Speaker 3>and the anti trust was essentially deactivated throughout much of

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<v Speaker 3>American life. Right you go back to Reagan, although really

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<v Speaker 3>the story starts with Carter. You know, we're steeped in

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<v Speaker 3>this idea that scale is the way to serve consumers,

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<v Speaker 3>and so let's just get out of the way of

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<v Speaker 3>business and let them provide, you know, that will deliver innovation.

0:11:46.320 --> 0:11:49.040
<v Speaker 3>But once you take away competition, of course, what we

0:11:49.080 --> 0:11:52.120
<v Speaker 3>get is pricing power. And for a long time, these

0:11:52.280 --> 0:11:56.120
<v Speaker 3>mostly well they're all actually foreign companies in international shipping.

0:11:56.440 --> 0:12:00.360
<v Speaker 3>There were like extensions of state policy and China, as

0:12:00.400 --> 0:12:03.600
<v Speaker 3>South Korea, Taiwan, so they were content to keep shipping

0:12:03.600 --> 0:12:06.880
<v Speaker 3>costs low as a way to bolster their exports. But

0:12:06.960 --> 0:12:10.320
<v Speaker 3>once we get a shock, you know, in the great

0:12:10.320 --> 0:12:14.440
<v Speaker 3>supply chain disruption during the pandemic, we see shipping prices

0:12:14.520 --> 0:12:17.800
<v Speaker 3>go up tenfold, and we see, you know, you guys

0:12:17.800 --> 0:12:19.400
<v Speaker 3>were alluding to the fact that I spent some time

0:12:19.440 --> 0:12:22.960
<v Speaker 3>with Alman farmers in central California. We see almed farmers

0:12:23.120 --> 0:12:29.679
<v Speaker 3>I visited had an entire crop sold to Dubai, to

0:12:29.880 --> 0:12:32.440
<v Speaker 3>Japanese purchasers, and they were just sitting on all this

0:12:32.520 --> 0:12:36.040
<v Speaker 3>crop that they couldn't actually get on a ship. Because

0:12:36.080 --> 0:12:40.280
<v Speaker 3>these shipping carriers were making so much money sending factory

0:12:40.320 --> 0:12:42.360
<v Speaker 3>goods from China to the West coast of the US,

0:12:42.400 --> 0:12:44.800
<v Speaker 3>which is the gateway for forty percent of American imports,

0:12:44.960 --> 0:12:47.439
<v Speaker 3>that they didn't even want to bother to send empty

0:12:47.480 --> 0:12:50.320
<v Speaker 3>containers up to the Central Valley to load up with

0:12:50.440 --> 0:12:53.920
<v Speaker 3>farm products. Like Ammonds, they just unloaded factory goods in

0:12:54.080 --> 0:12:58.000
<v Speaker 3>LA and sent empty containers back across the Pacific. We're

0:12:58.000 --> 0:13:01.920
<v Speaker 3>talking about burning diesel fuel to send back across the Pacific.

0:13:02.200 --> 0:13:05.120
<v Speaker 3>So they can get twenty five twenty seven twenty eight

0:13:05.200 --> 0:13:08.840
<v Speaker 3>thousand dollars to move a container of factory goods from

0:13:08.880 --> 0:13:12.440
<v Speaker 3>you know, a place like Shanghai to LA that used

0:13:12.440 --> 0:13:15.160
<v Speaker 3>to cost like twenty twenty five hundred during the pandemic.

0:13:15.400 --> 0:13:17.839
<v Speaker 3>That's largely the story of deregulation.

0:13:18.200 --> 0:13:20.640
<v Speaker 1>I want to you know, one thing I think about, though,

0:13:20.840 --> 0:13:24.480
<v Speaker 1>in particular in your book is kind of the role

0:13:24.520 --> 0:13:26.319
<v Speaker 1>of consultanc here. And I don't want to pick pile

0:13:26.360 --> 0:13:28.720
<v Speaker 1>on anyone in particular, but you do single out mackenzie.

0:13:28.840 --> 0:13:29.320
<v Speaker 3>I sure do.

0:13:29.480 --> 0:13:32.000
<v Speaker 1>You do talk about the lean Taliban. You also get

0:13:32.000 --> 0:13:34.560
<v Speaker 1>into a lot of just in time inventory for anybody's

0:13:34.559 --> 0:13:37.359
<v Speaker 1>taken accounting classes, Like we've played around with this, right,

0:13:37.800 --> 0:13:40.800
<v Speaker 1>but this idea too that you don't want to have

0:13:40.920 --> 0:13:44.280
<v Speaker 1>big inventories. You want to be lean and mean, right,

0:13:44.320 --> 0:13:47.800
<v Speaker 1>So because those inventories are costly to store them, to

0:13:47.880 --> 0:13:51.480
<v Speaker 1>have them, and all that thing, and so this financial

0:13:51.559 --> 0:13:55.200
<v Speaker 1>focus on that and this kind of narrative of saying

0:13:55.559 --> 0:13:57.959
<v Speaker 1>be lean and mean that's a good thing. We've all

0:13:57.960 --> 0:13:59.439
<v Speaker 1>played a part of it. When we go through the

0:13:59.520 --> 0:14:02.240
<v Speaker 1>quarterly lean and mean this is a good thing for

0:14:02.320 --> 0:14:05.200
<v Speaker 1>a company. How big a role did that play in

0:14:05.280 --> 0:14:08.559
<v Speaker 1>getting us so that when the pandemic hit, nobody had

0:14:08.600 --> 0:14:10.000
<v Speaker 1>excess supply anywhere?

0:14:10.120 --> 0:14:13.880
<v Speaker 3>A huge role. We cut inventories to the bone. Publicly

0:14:13.880 --> 0:14:18.160
<v Speaker 3>traded companies cut inventories to the bone over decades. Now,

0:14:18.280 --> 0:14:20.960
<v Speaker 3>just in time is a sensible idea. It was pioneered

0:14:20.960 --> 0:14:25.360
<v Speaker 3>by Toyota and of World War two devastation, not a

0:14:25.400 --> 0:14:27.640
<v Speaker 3>lot of capital, not a lot of land to develop.

0:14:27.920 --> 0:14:31.440
<v Speaker 3>Taichi Ono, who is running Toyota, pioneers this idea. Instead

0:14:31.480 --> 0:14:34.160
<v Speaker 3>of making as much stuff as possible like Henry Ford

0:14:34.200 --> 0:14:37.120
<v Speaker 3>did at Ford and letting salespeople try to figure out

0:14:37.120 --> 0:14:40.600
<v Speaker 3>how to sell it, Let's just make enough to replenish

0:14:40.640 --> 0:14:43.600
<v Speaker 3>the cars that we've already sold. Let's get our suppliers

0:14:43.640 --> 0:14:45.760
<v Speaker 3>to deliver the stuff we need right when we need it,

0:14:46.200 --> 0:14:49.000
<v Speaker 3>rather than waste capital on warehouse. Hey, that's a good idea,

0:14:49.520 --> 0:14:53.160
<v Speaker 3>But a long come of publicly traded companies guided by

0:14:53.240 --> 0:14:57.360
<v Speaker 3>consultants like McKenzie who say, listen, this should apply to everything,

0:14:57.760 --> 0:15:01.960
<v Speaker 3>and you should not stop until there's basically no inventory.

0:15:02.400 --> 0:15:04.920
<v Speaker 3>And what you do is, instead of wasting capital on

0:15:05.000 --> 0:15:07.840
<v Speaker 3>sticking you know, auto parts in a warehouse as a

0:15:07.880 --> 0:15:11.880
<v Speaker 3>hedge against trouble, just liquidate the warehouse. Take the cash,

0:15:11.920 --> 0:15:15.200
<v Speaker 3>give it to yourselves to reward yourselves, corporate executives for

0:15:15.280 --> 0:15:18.160
<v Speaker 3>being smart enough to hire McKenzie, give it to shareholders

0:15:18.160 --> 0:15:20.800
<v Speaker 3>in the form of dividends and share buybacks, and everybody's

0:15:20.840 --> 0:15:25.320
<v Speaker 3>happy until there's a problem. And this pandemic was not

0:15:25.400 --> 0:15:27.040
<v Speaker 3>the first time we saw a shock to the system.

0:15:27.080 --> 0:15:28.920
<v Speaker 3>I mean, I wrote my first supply chain story back

0:15:28.960 --> 0:15:31.880
<v Speaker 3>in nineteen ninety nine. It was about an earthquake in Taiwan.

0:15:32.040 --> 0:15:35.040
<v Speaker 3>And back then people said, oh, whoops, we've got computer

0:15:35.120 --> 0:15:38.640
<v Speaker 3>chip shortages. Maybe we shouldn't concentrate all our industry here,

0:15:38.680 --> 0:15:40.360
<v Speaker 3>maybe we should have a little more differsa.

0:15:40.120 --> 0:15:41.760
<v Speaker 2>We learn our lesson with the computer tip industry.

0:15:41.800 --> 0:15:44.400
<v Speaker 3>We sure did not. I mean, you know, I tell

0:15:44.440 --> 0:15:47.280
<v Speaker 3>the story in the book of Henry Ford, who is

0:15:47.320 --> 0:15:49.400
<v Speaker 3>a problematic figure in history, but knew a thing or

0:15:49.440 --> 0:15:51.400
<v Speaker 3>two about supply chains and never wanted to be in

0:15:51.440 --> 0:15:54.840
<v Speaker 3>a position where he could be pinched by a supplier

0:15:55.040 --> 0:15:58.000
<v Speaker 3>constrained would have been horrified to see what I saw

0:15:58.000 --> 0:16:00.480
<v Speaker 3>one hundred years later, as I'm walking the catwa his

0:16:00.600 --> 0:16:04.880
<v Speaker 3>signature River Rouge plant outside of Detroit, where they're making

0:16:04.880 --> 0:16:08.720
<v Speaker 3>these beautiful f one fifty pickup trucks, their most popular vehicle.

0:16:08.840 --> 0:16:10.800
<v Speaker 3>They've got all the things they need except for the

0:16:10.800 --> 0:16:12.760
<v Speaker 3>one thing that brings it to life, the computer chip.

0:16:12.800 --> 0:16:16.200
<v Speaker 3>And I watched them park these cars in the shadow

0:16:16.680 --> 0:16:20.760
<v Speaker 3>of Ford's corporate headquarters across the street from Henry Ford

0:16:20.840 --> 0:16:23.640
<v Speaker 3>Elementary School. I mean, he would be spinning in his

0:16:23.720 --> 0:16:26.080
<v Speaker 3>grave over this. We did not learn the lesson.

0:16:26.200 --> 0:16:28.000
<v Speaker 1>I think this is the part, and forgive me if

0:16:28.000 --> 0:16:30.120
<v Speaker 1>I've got it wrong, But when I read it, Detroit

0:16:30.160 --> 0:16:32.560
<v Speaker 1>had devolved into a poignant example of what happened when

0:16:32.560 --> 0:16:35.880
<v Speaker 1>middle class factory jobs were replaced by poverty level positions

0:16:35.880 --> 0:16:38.920
<v Speaker 1>at retailers, warehouses, and fast food chains. Next to the

0:16:38.920 --> 0:16:42.120
<v Speaker 1>old Highland Park factory, now a forlorn brickshell, a shopping

0:16:42.160 --> 0:16:45.560
<v Speaker 1>center called Model ty Plaza was anchored by a dollar store,

0:16:45.600 --> 0:16:49.040
<v Speaker 1>a payday lender, and a plasma collection center awaiting people

0:16:49.200 --> 0:16:51.440
<v Speaker 1>willing to swap blood for cash. The car itself had

0:16:51.480 --> 0:16:53.800
<v Speaker 1>become an instrument of white Flight like that to me,

0:16:54.360 --> 0:16:57.080
<v Speaker 1>says so much of what's going on across America and

0:16:57.160 --> 0:16:58.800
<v Speaker 1>explains to me politics in a big way.

0:16:59.080 --> 0:17:00.360
<v Speaker 2>So that's what I wanted to talk about it.

0:17:00.560 --> 0:17:02.880
<v Speaker 1>We want to bring in Doug Prisoners here we are,

0:17:03.960 --> 0:17:07.680
<v Speaker 1>I'm doing well. Doug is like this great thinker and

0:17:08.040 --> 0:17:10.199
<v Speaker 1>like your book just kind of reminds us of the

0:17:10.240 --> 0:17:11.359
<v Speaker 1>things we talk about with Doug.

0:17:11.440 --> 0:17:13.160
<v Speaker 4>So we wanted to bring in one of the things

0:17:13.200 --> 0:17:15.639
<v Speaker 4>that's interesting, Tim was going to talk about politics. In

0:17:15.680 --> 0:17:19.959
<v Speaker 4>the nineteen ninety two presidential campaign. Ross Perrot was the

0:17:20.000 --> 0:17:23.760
<v Speaker 4>lone voice who was kind of cautioning against at that time,

0:17:23.800 --> 0:17:26.560
<v Speaker 4>what was the North American Free Trade Agreement Canada, the

0:17:26.640 --> 0:17:31.119
<v Speaker 4>US and Mexico. What's stunning is how quickly the conversation

0:17:31.320 --> 0:17:35.200
<v Speaker 4>became about China. Why did that pivot happen so quickly

0:17:35.240 --> 0:17:39.320
<v Speaker 4>in your view away from North America manufacturing in China.

0:17:39.480 --> 0:17:43.480
<v Speaker 3>Well, China operates on a whole different scale than Mexico, right,

0:17:43.600 --> 0:17:45.520
<v Speaker 3>So Ross Paro, of course, yeah, famously warned of the

0:17:45.600 --> 0:17:49.119
<v Speaker 3>giant sucking sound. And we did lose some jobs in

0:17:49.160 --> 0:17:51.960
<v Speaker 3>the industrial Midwest to Mexico, but we picked up a

0:17:52.000 --> 0:17:55.880
<v Speaker 3>lot of jobs because the US and Mexico were economically integrated.

0:17:55.920 --> 0:17:58.479
<v Speaker 3>And I mean it's ironic now to think about Mexico

0:17:58.560 --> 0:18:00.960
<v Speaker 3>as the solution to some of our supply chain problems.

0:18:01.040 --> 0:18:04.960
<v Speaker 3>But when we import something from Mexico, forty percent of

0:18:04.960 --> 0:18:07.679
<v Speaker 3>the value of that imported good was actually made in

0:18:07.680 --> 0:18:09.919
<v Speaker 3>the United States. So you know, we bring in a

0:18:10.000 --> 0:18:13.600
<v Speaker 3>car that was made in a Mexican factory, and forty

0:18:13.640 --> 0:18:15.840
<v Speaker 3>percent of the value of that car was built by

0:18:15.880 --> 0:18:22.040
<v Speaker 3>American labor in American factories. The component number for China

0:18:22.160 --> 0:18:25.840
<v Speaker 3>is three percent, so only three percent of the value

0:18:25.920 --> 0:18:30.239
<v Speaker 3>of imports from China have American value add and of

0:18:30.240 --> 0:18:32.919
<v Speaker 3>course Chinese state policy is really directed to driving that

0:18:32.960 --> 0:18:37.000
<v Speaker 3>as close to zero as possible. But I think it's

0:18:37.040 --> 0:18:40.040
<v Speaker 3>really important to note that a lot of these failures

0:18:40.320 --> 0:18:46.000
<v Speaker 3>that have fueled the backlash originally Mexico now China. I

0:18:46.119 --> 0:18:47.960
<v Speaker 3>argue in the book, I mean this part nobody really

0:18:48.000 --> 0:18:51.640
<v Speaker 3>wants to talk about. These are homemade failures. I mean,

0:18:51.680 --> 0:18:54.960
<v Speaker 3>we have benefited from trade with China, we have benefited

0:18:54.960 --> 0:18:56.880
<v Speaker 3>from trade with Mexico. We've got a lot of low

0:18:56.920 --> 0:19:00.000
<v Speaker 3>cost goods. In the case of Mexico, again, we boot

0:19:00.119 --> 0:19:05.520
<v Speaker 3>did our exports. We've got consumers benefiting. A lot of

0:19:05.600 --> 0:19:09.479
<v Speaker 3>data shows that consumer spending has been juiced by trade

0:19:09.520 --> 0:19:11.760
<v Speaker 3>with China, and that money ends up, you know, in

0:19:11.800 --> 0:19:16.080
<v Speaker 3>the hands of American service providers. Our leisure you know,

0:19:16.240 --> 0:19:19.000
<v Speaker 3>is more robot We have more money here. The problem

0:19:19.080 --> 0:19:22.560
<v Speaker 3>is we haven't cushioned the people who have lost, and

0:19:22.640 --> 0:19:27.640
<v Speaker 3>we have seen whole communities, industries, you know, really hit

0:19:27.720 --> 0:19:30.520
<v Speaker 3>hard by this China shock that you know, a lot

0:19:30.560 --> 0:19:33.360
<v Speaker 3>of the data shows we're talking one million direct jobs

0:19:33.359 --> 0:19:36.560
<v Speaker 3>in the space of a decade lost to Chinese imports.

0:19:36.640 --> 0:19:38.520
<v Speaker 1>But it is China the bad guy or is it

0:19:38.880 --> 0:19:43.120
<v Speaker 1>investors and companies who constantly we're seeking out the low

0:19:43.160 --> 0:19:43.960
<v Speaker 1>cost provider.

0:19:44.400 --> 0:19:48.720
<v Speaker 3>The ultimate winners are the investor class, without any question.

0:19:49.240 --> 0:19:52.920
<v Speaker 3>And there's a lot of labor exploitation in China. So yes,

0:19:53.200 --> 0:19:55.760
<v Speaker 3>the winners are the people who funded the Clinton campaign

0:19:55.840 --> 0:19:56.840
<v Speaker 3>and got Bill Clinton.

0:19:56.600 --> 0:19:59.359
<v Speaker 4>Against say nothing of environmental regulation, of course.

0:19:59.440 --> 0:20:00.320
<v Speaker 3>Okay, right, go.

0:20:00.280 --> 0:20:03.720
<v Speaker 2>Ahead, Peter. I want to talk about labor exploitation in

0:20:03.760 --> 0:20:06.840
<v Speaker 2>the trucking industry, sure, because a common thing that we

0:20:06.920 --> 0:20:09.000
<v Speaker 2>heard over and over again during the pandemic and the

0:20:09.040 --> 0:20:11.960
<v Speaker 2>supply chain disruption that we saw was that trucking companies

0:20:12.000 --> 0:20:14.480
<v Speaker 2>just didn't have enough drivers. They needed people to go

0:20:14.520 --> 0:20:17.159
<v Speaker 2>learn how to drive a truck and start driving trucks.

0:20:18.160 --> 0:20:20.600
<v Speaker 2>You found that that wasn't the case. It's just a really,

0:20:20.640 --> 0:20:21.520
<v Speaker 2>really bad job.

0:20:22.200 --> 0:20:25.119
<v Speaker 3>It's a horrible job. I mean, I rode with a

0:20:25.240 --> 0:20:28.800
<v Speaker 3>trucker in the best possible conditions who actually likes his job,

0:20:29.040 --> 0:20:31.880
<v Speaker 3>from Kansas City to Dallas and back in the middle

0:20:31.880 --> 0:20:34.480
<v Speaker 3>of the winter. I slept in the cab for two nights.

0:20:34.840 --> 0:20:38.280
<v Speaker 3>I watched this man have to worry about caffeinating enough

0:20:38.320 --> 0:20:41.000
<v Speaker 3>so we wouldn't fall asleep at the wheel, and yet

0:20:41.080 --> 0:20:43.640
<v Speaker 3>not having to pull over to use the restroom. Truckers

0:20:43.680 --> 0:20:46.200
<v Speaker 3>are constantly worried about where they're going to park. They're

0:20:46.240 --> 0:20:48.240
<v Speaker 3>at the mercy of lots of other parts of the

0:20:48.240 --> 0:20:50.320
<v Speaker 3>supply chain they have no influence over. They can get

0:20:50.400 --> 0:20:53.440
<v Speaker 3>stuck at warehouses for hours waiting for somebody to load

0:20:53.520 --> 0:20:57.720
<v Speaker 3>or unload their vehicle because warehouses have shortages of workers. Now,

0:20:58.000 --> 0:21:02.960
<v Speaker 3>this trucking industry shortage, this is an industry talking point.

0:21:02.960 --> 0:21:05.439
<v Speaker 3>There's ten million people in the United States who have

0:21:05.560 --> 0:21:09.320
<v Speaker 3>licenses to drive long haul trucks, and we need roughly

0:21:09.320 --> 0:21:12.159
<v Speaker 3>a third that number. We've run out of people. We

0:21:12.240 --> 0:21:15.879
<v Speaker 3>can feed into the mill who are willing to sign

0:21:15.880 --> 0:21:19.040
<v Speaker 3>off on these predatory lending arrangements by which truckers pay

0:21:19.119 --> 0:21:22.520
<v Speaker 3>for their certification, by which they end up buying these

0:21:22.640 --> 0:21:26.280
<v Speaker 3>vehicles at wildly inflated prices from the trucking companies. Then

0:21:26.320 --> 0:21:29.320
<v Speaker 3>they're forced to go service these vehicles at places that

0:21:29.359 --> 0:21:33.199
<v Speaker 3>are part of the empires of these trucking companies. And

0:21:33.240 --> 0:21:35.000
<v Speaker 3>so a lot of people, you know, they get tired

0:21:35.040 --> 0:21:37.639
<v Speaker 3>of being away from their families. They get tired of

0:21:37.680 --> 0:21:41.040
<v Speaker 3>hearing that they've missed another chill child's birthday party, they

0:21:41.040 --> 0:21:43.920
<v Speaker 3>miss people's funerals. It's a tough job. It's always been

0:21:43.960 --> 0:21:46.679
<v Speaker 3>a tough job. The difference is it's been downgraded to

0:21:46.680 --> 0:21:48.560
<v Speaker 3>the point that we've run out of takers for this

0:21:48.680 --> 0:21:49.160
<v Speaker 3>tough job.

0:21:49.200 --> 0:21:51.119
<v Speaker 4>What's the remedy in your view? I mean, how do

0:21:51.200 --> 0:21:53.080
<v Speaker 4>we get out of the situation that we're in now.

0:21:53.320 --> 0:21:56.200
<v Speaker 4>I'm listening to the trucking story and I'm thinking of

0:21:56.560 --> 0:21:59.560
<v Speaker 4>robotic vehicles that are going to be creeping into the

0:21:59.560 --> 0:22:02.480
<v Speaker 4>scene pretty soon. So the argument that you're making right

0:22:02.520 --> 0:22:04.600
<v Speaker 4>now may get a remedy, but it's going to be

0:22:05.200 --> 0:22:08.080
<v Speaker 4>at the cost of labor in a major way. But

0:22:08.160 --> 0:22:10.080
<v Speaker 4>what do you think the remedy is longer term?

0:22:10.359 --> 0:22:12.240
<v Speaker 3>I mean, I think for openers, we got to look

0:22:12.280 --> 0:22:16.080
<v Speaker 3>at these predatory arrangements that truckers make with the people

0:22:16.119 --> 0:22:20.480
<v Speaker 3>coming through these educational mills that set up certification. With

0:22:20.760 --> 0:22:25.080
<v Speaker 3>taxpayer funding, you know, we are paying to feed people

0:22:25.240 --> 0:22:28.320
<v Speaker 3>into these training programs where they end up getting jobs

0:22:28.320 --> 0:22:30.560
<v Speaker 3>that pay a fraction of what they've been promised. So

0:22:30.600 --> 0:22:33.600
<v Speaker 3>that's the first thing to do. Look, automation is inevitable,

0:22:33.680 --> 0:22:35.480
<v Speaker 3>it's going to happen, but we got to have a

0:22:35.560 --> 0:22:38.640
<v Speaker 3>conversation about how we compensate the people who are still

0:22:38.680 --> 0:22:40.560
<v Speaker 3>in the business. We got to make sure that they

0:22:40.560 --> 0:22:44.159
<v Speaker 3>can get exercise, that they can different eat better than

0:22:44.160 --> 0:22:47.639
<v Speaker 3>their eating. I mean the food that you see at

0:22:47.680 --> 0:22:51.160
<v Speaker 3>these truck stops. It's just a tough life. The government

0:22:51.200 --> 0:22:53.600
<v Speaker 3>has to get involved in looking at these working conditions.

0:22:53.600 --> 0:22:55.760
<v Speaker 1>What's the bigger solution though, because to me, I'm thinking,

0:22:55.800 --> 0:22:57.639
<v Speaker 1>all right, if we're bringing a lot of stuff home,

0:22:57.720 --> 0:22:59.560
<v Speaker 1>maybe more jobs are going to be created back home,

0:22:59.560 --> 0:23:01.960
<v Speaker 1>but it's going to more expensive, so get ready to

0:23:01.960 --> 0:23:05.320
<v Speaker 1>continue to pay more money. But if it means that

0:23:05.400 --> 0:23:08.600
<v Speaker 1>workers are actually making more and a real living, that's

0:23:08.640 --> 0:23:10.080
<v Speaker 1>a good thing. So I don't know. I'm just trying

0:23:10.080 --> 0:23:11.560
<v Speaker 1>to figure out what you see, is this wait in.

0:23:11.480 --> 0:23:15.120
<v Speaker 3>Some cases if we shift production from China to other

0:23:15.160 --> 0:23:17.280
<v Speaker 3>countries where wagers a high, if we bring some of

0:23:17.320 --> 0:23:20.120
<v Speaker 3>it back to the US, that that'll mostly be automation. Yeah,

0:23:20.160 --> 0:23:22.640
<v Speaker 3>the costs for some things are going to go up,

0:23:22.680 --> 0:23:24.439
<v Speaker 3>some things may go down, some things may go up.

0:23:24.680 --> 0:23:27.159
<v Speaker 3>But what is the cost that we're paying now that

0:23:27.240 --> 0:23:29.960
<v Speaker 3>doesn't get factored into the simple you know, sticker price

0:23:30.000 --> 0:23:32.520
<v Speaker 3>at the Walmart Superstar. What's the cost of running out

0:23:32.520 --> 0:23:35.200
<v Speaker 3>of medical devices in the middle of a pandemic. What's

0:23:35.240 --> 0:23:38.359
<v Speaker 3>the cost of discovering that we've depended upon a single

0:23:38.359 --> 0:23:41.120
<v Speaker 3>country that we've decided is our adversary that we're having

0:23:41.119 --> 0:23:43.880
<v Speaker 3>a trade war with for you know, personal protective gear

0:23:43.920 --> 0:23:45.360
<v Speaker 3>to give frontline medical And none of.

0:23:45.320 --> 0:23:47.720
<v Speaker 1>That's really changed right dramatically or.

0:23:47.720 --> 0:23:50.520
<v Speaker 3>Have changed somewhat. I mean, I spend a lot of

0:23:50.560 --> 0:23:53.200
<v Speaker 3>time for the book, you know, I went to Guatemala

0:23:53.240 --> 0:23:56.480
<v Speaker 3>with Columbia Sportswear. They're looking to move production closer to

0:23:56.520 --> 0:23:58.919
<v Speaker 3>their biggest market, which is North America. Spend a lot

0:23:58.920 --> 0:24:01.479
<v Speaker 3>of time in Mexico, you know, as we've discussed how

0:24:01.480 --> 0:24:03.760
<v Speaker 3>that could potentially be part of this solution to our

0:24:03.800 --> 0:24:06.880
<v Speaker 3>excessive reliance on China. But China's going to be the

0:24:06.920 --> 0:24:09.920
<v Speaker 3>center of manufacturing for a really long time for the

0:24:09.960 --> 0:24:13.320
<v Speaker 3>simple reason that's got this unbeatable combination of infrastructure, low

0:24:13.359 --> 0:24:18.000
<v Speaker 3>cost efficiency. The question is how do we compensate the

0:24:18.119 --> 0:24:22.000
<v Speaker 3>people who were depending on in our own country. And

0:24:22.400 --> 0:24:25.480
<v Speaker 3>you know, Henry Ford again problematic character for all sorts

0:24:25.480 --> 0:24:27.600
<v Speaker 3>of reasons, but he got some things right. You know,

0:24:27.640 --> 0:24:30.440
<v Speaker 3>he doubled wages for his workers in the nineteen teens.

0:24:30.440 --> 0:24:32.920
<v Speaker 3>He was called a communist by some people. He said, look,

0:24:33.000 --> 0:24:34.639
<v Speaker 3>I'm just trying to sell cars, and I'm trying to

0:24:34.680 --> 0:24:37.560
<v Speaker 3>sell them at low prices. And any business that's built

0:24:38.000 --> 0:24:39.520
<v Speaker 3>on low wage labor is.

0:24:39.560 --> 0:24:42.600
<v Speaker 4>Unreliable away from the government. Is there a role for

0:24:42.800 --> 0:24:43.960
<v Speaker 4>organized labor in this.

0:24:44.200 --> 0:24:46.920
<v Speaker 3>Oh, one hundred percent. I mean we should be embracing

0:24:47.119 --> 0:24:52.000
<v Speaker 3>labor mobilization. I mean it's bumpy, it does involve higher costs.

0:24:52.000 --> 0:24:54.720
<v Speaker 3>If you're running a business, you're not delighted that your

0:24:54.840 --> 0:24:58.040
<v Speaker 3>union is now animated. But first of all, it puts

0:24:58.280 --> 0:25:02.480
<v Speaker 3>spending capacity in p people's pockets. Right. It boosts consumer power,

0:25:02.720 --> 0:25:05.600
<v Speaker 3>which is good for all businesses, and it's simply more

0:25:05.640 --> 0:25:08.240
<v Speaker 3>reliable if people aren't are at work not worried about

0:25:08.240 --> 0:25:09.920
<v Speaker 3>their ability to put groceries on there.

0:25:09.960 --> 0:25:12.120
<v Speaker 2>I was thinking about that when I read about precision

0:25:12.160 --> 0:25:15.240
<v Speaker 2>scheduled railroading in ye book, because those were union guys,

0:25:15.320 --> 0:25:17.680
<v Speaker 2>right right, But they had a pretty tough gig too.

0:25:17.680 --> 0:25:19.840
<v Speaker 3>So well, some of them are union So you wrote.

0:25:19.680 --> 0:25:22.399
<v Speaker 2>About people who missed medical appointments and funerals and like,

0:25:22.440 --> 0:25:25.200
<v Speaker 2>we're driving so far from their homes in that business

0:25:26.600 --> 0:25:29.080
<v Speaker 2>were the non unionized? Were the unionized folks who were

0:25:29.080 --> 0:25:31.120
<v Speaker 2>doing that in a much better position than the non

0:25:31.200 --> 0:25:33.160
<v Speaker 2>unionized ones. I mean, that's a tough gig too.

0:25:33.240 --> 0:25:35.840
<v Speaker 3>Look, the unions, you know, were ready to go on

0:25:35.960 --> 0:25:38.720
<v Speaker 3>strike and couldn't go on strike because there's this law

0:25:38.760 --> 0:25:41.440
<v Speaker 3>that says they have to basically get the president's permission

0:25:41.480 --> 0:25:43.720
<v Speaker 3>to strike, and the president didn't grant that permission because

0:25:43.720 --> 0:25:45.320
<v Speaker 3>it would have been a shock to the system. It

0:25:45.320 --> 0:25:47.439
<v Speaker 3>would have uped inflation, and that wasn't something that Joe

0:25:47.480 --> 0:25:51.239
<v Speaker 3>Biden wanted to happen on his watch. But even you know,

0:25:51.359 --> 0:25:54.280
<v Speaker 3>this this powerful union that got right to the edge

0:25:54.280 --> 0:25:57.159
<v Speaker 3>of strike, they couldn't get paid sick leave. You know,

0:25:57.359 --> 0:26:00.240
<v Speaker 3>Biden gave it to them through the bully pulp and

0:26:00.280 --> 0:26:02.680
<v Speaker 3>some of the companies then delivered a few days. But yes,

0:26:02.760 --> 0:26:06.000
<v Speaker 3>I talked to people who were missing out on In

0:26:06.040 --> 0:26:09.600
<v Speaker 3>one case, a guy who's who's infant, you know, needed

0:26:09.680 --> 0:26:13.359
<v Speaker 3>cardiac surgery and he was told, sorry, pal, you know

0:26:13.400 --> 0:26:15.680
<v Speaker 3>we need you on the maintenance crew. You can't be

0:26:15.720 --> 0:26:18.000
<v Speaker 3>home for that. And then he finally quit and fired

0:26:18.000 --> 0:26:18.800
<v Speaker 3>off a letter.

0:26:18.880 --> 0:26:20.960
<v Speaker 1>Yeah, go ahead, no, buts so much for like, was

0:26:21.000 --> 0:26:23.440
<v Speaker 1>it a few years ago? The business round table? Stakeholder like,

0:26:23.520 --> 0:26:25.760
<v Speaker 1>think of all the stakeholders, including employees.

0:26:25.760 --> 0:26:26.600
<v Speaker 3>That's my last book.

0:26:26.680 --> 0:26:29.199
<v Speaker 1>We only have, I know, twenty seconds left. Are we

0:26:29.200 --> 0:26:31.080
<v Speaker 1>going to run out of things again at some point?

0:26:31.280 --> 0:26:33.679
<v Speaker 3>Look, we're still running out of things. Yes, you know,

0:26:33.800 --> 0:26:36.399
<v Speaker 3>talk to contractors about why they can't build more housing.

0:26:36.440 --> 0:26:38.120
<v Speaker 3>It's part of why housing so unaffordable.

0:26:38.280 --> 0:26:40.480
<v Speaker 1>This was so much fun. So appreciate it. Thank you

0:26:40.560 --> 0:26:43.680
<v Speaker 1>so much. Peter Goodman, global economic correspondent, New York Times

0:26:43.680 --> 0:26:45.879
<v Speaker 1>his new book How the World Ran out of Everything?

0:26:46.040 --> 0:26:48.400
<v Speaker 1>And then thanks to our Doug Prisner too. We really

0:26:48.440 --> 0:26:49.840
<v Speaker 1>appreciate you coming to reading.

0:26:49.880 --> 0:26:50.080
<v Speaker 3>You