WEBVTT - Bloomberg Businessweek Weekend - January 16th, 2026

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg business Week Daily reporting from the magazine

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<v Speaker 2>that helps global leaders stay ahead with insight on the people, companies,

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<v Speaker 2>and trends shaping today's complex economy. Plus global business finance

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<v Speaker 2>and tech news as it happens. The Bloomberg Business Week

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<v Speaker 2>Daily Podcast with Carol Masser and Tim Stenebek on Bloomberg Radio.

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<v Speaker 3>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast

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<v Speaker 3>twenty twenty six. Definitely often running. It's about one week

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<v Speaker 3>since we found out that one of the pillars of

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<v Speaker 3>US economic governance was again under attack after fedchair J

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<v Speaker 3>Powell announced that the Central Bank was served with a

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<v Speaker 3>grand jury subpoena from the Department of Justice. It's not

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<v Speaker 3>the only time the US Central Bank was caught in

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<v Speaker 3>the crosshairs of a president or investors for that matter.

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<v Speaker 3>And on that and what we can learn from our

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<v Speaker 3>financial past. Returned to the New York Times best selling

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<v Speaker 3>author of Too Big to Fail in nineteen twenty nine,

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<v Speaker 3>Inside the greatest crash in Wall Street History and how

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<v Speaker 3>it shattered a nation, Andrew Ross Sorkin will join us.

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<v Speaker 4>All that to come. We begin, though with the real

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<v Speaker 4>world impact of tariffs. Nearly a year after they were

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<v Speaker 4>imposed by the Trump administration.

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<v Speaker 3>The Supreme Court did not rule on challenges to President

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<v Speaker 3>Donald Trump's AJIPA tariffs this past week for a second time,

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<v Speaker 3>leaving the world to wait until at least this coming week,

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<v Speaker 3>possibly to learn the fate of his signature economic policy.

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<v Speaker 5>Again.

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<v Speaker 3>Possibly it could be even longer before we get some

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<v Speaker 3>kind of ruling from the Supreme Court on this.

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<v Speaker 4>Someone paying really close attention apart from us to that

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<v Speaker 4>decision is Rick Woldenberg. Rick is CEO of Learning Resources

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<v Speaker 4>in Hand to Mind. They're two educational toy businesses based

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<v Speaker 4>near Chicago. Rick, back in April of last year, sued

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<v Speaker 4>the Trump administration to invalidate the tariffs as exceeding the

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<v Speaker 4>president's authority. Rick joined us alongside Bloomberg New Supreme Court

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<v Speaker 4>reporter Greg store Well.

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<v Speaker 6>Taris have had a dramatic effect on our business. The

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<v Speaker 6>imposition of these taxes on our company, with no advanced

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<v Speaker 6>warning and with seemingly no limit through our supply chain

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<v Speaker 6>administration completely out the window. We had to rebuild our

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<v Speaker 6>supply chain on the fly. It was a significant disruption

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<v Speaker 6>in how we manufactured our product. And so we had

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<v Speaker 6>an enormous diversion of labor in our office, maybe up

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<v Speaker 6>to thirty percent of our man hours were shifted towards surviving.

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<v Speaker 6>That change also obviously created a huge cost, well in

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<v Speaker 6>excess of ten million dollars in twenty twenty five, up

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<v Speaker 6>from zero in the prior year, and so it affected

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<v Speaker 6>our cash flow. It affected our costs. We had to

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<v Speaker 6>raise our prices, and it's an economic depressant, a massive

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<v Speaker 6>tax like that. It's like wearing ankle weights in a sprint.

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<v Speaker 6>You slow down. And so we're a little smaller as

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<v Speaker 6>a result of this huge tax.

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<v Speaker 3>So, Greg Store, I want to bring you in. This

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<v Speaker 3>is a great story as you do so well, and

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<v Speaker 3>it's I feel like a Bloomberg does it like reminds

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<v Speaker 3>us that there are big stories. There are headlines, but

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<v Speaker 3>there are people and companies being impacted, and in this

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<v Speaker 3>case a lot of small and mid sized companies. I

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<v Speaker 3>think it's safe to say that Rick's story not unique.

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<v Speaker 7>It's not unique, and in fact, it is the smaller

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<v Speaker 7>companies that have launched this challenge. There are two different

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<v Speaker 7>cases there before the Supreme Court, and the other ones

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<v Speaker 7>also small businesses, actually smaller than Rix the bigger companies.

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<v Speaker 7>While they have subsequently filed some lawsuits to try to

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<v Speaker 7>get refunds in case the Supreme Court strikes down the tariffs,

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<v Speaker 7>they didn't want to be out front in challenging these.

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<v Speaker 4>So, Rick, why did you choose to speak out? Why

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<v Speaker 4>are you speaking publicly about this? Why did you file

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<v Speaker 4>this lawsuit? Doesn't Yes, they're certainly upside, but there's also

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<v Speaker 4>a lot for you to lose. Like we've seen the

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<v Speaker 4>way that this administration has been punitive in some cases.

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<v Speaker 6>Well, I think that the things that I was afraid

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<v Speaker 6>of losing were the relationship I have with our customers,

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<v Speaker 6>the dependents that our employees and their families have on

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<v Speaker 6>our company. Ours is a family business. I'm third generation,

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<v Speaker 6>my kids are fourth generation. You have a very strong

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<v Speaker 6>sense of how the health of your business affects the

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<v Speaker 6>community that you live in. And so we just couldn't

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<v Speaker 6>walk away from those folks. And I'm I'm very American

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<v Speaker 6>in my outlook. I want to take control of what's

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<v Speaker 6>happening to us, and I wasn't going to let a

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<v Speaker 6>politician ruin what we've built up over one hundred years.

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<v Speaker 6>We're also mission driven business, there's lots of families like

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<v Speaker 6>yours who use our products and depend on them to

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<v Speaker 6>help educate their children. That means a whole lot to us.

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<v Speaker 6>So we felt like we had a lot of reasons

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<v Speaker 6>to stand up, and I was more concerned about not

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<v Speaker 6>doing something than doing something.

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<v Speaker 4>You know, the President Rick and Detroit said quote to

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<v Speaker 4>be anti tariff is to be pro Chinese, and the

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<v Speaker 4>tariff challengers at the Supreme Court are China centric, and

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<v Speaker 4>he alluded to the idea of people who are challenging

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<v Speaker 4>tariffs as anti American. How do you respond to that?

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<v Speaker 6>You know. One of the things I've done in this

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<v Speaker 6>lawsuit is I've tried not to go tit for tat

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<v Speaker 6>and to point fingers in saying that mister Trump points

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<v Speaker 6>fingers at me. But I'm not sure that I make

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<v Speaker 6>my point more strongly by engaging in finger pointing back.

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<v Speaker 6>I would just simply say that mister Trump has no

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<v Speaker 6>legal right to have impoosed this tax on us. It's

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<v Speaker 6>hurt our business, and we've asked the court to adjudicate

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<v Speaker 6>that he has has no right to do this, and

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<v Speaker 6>no American wants to or feels exposed to the risk

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<v Speaker 6>of paying attacks that's not legal. There are means for

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<v Speaker 6>him to put taxes on us. He has to go

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<v Speaker 6>through the House. That's what James Madison wants and that's

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<v Speaker 6>what we need to do, so he can't do it.

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<v Speaker 6>He has no idea if we're China centric or not.

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<v Speaker 6>I would tell you we're child centric and we're trying

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<v Speaker 6>to help children get a great start in life. That's

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<v Speaker 6>our orientation.

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<v Speaker 3>Yeah, what a story, A stark story. And Greg, you know,

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<v Speaker 3>I look at your story on this and you you know,

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<v Speaker 3>you say, and you remind us that the president has

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<v Speaker 3>wielded tariffs to try to get Canada and Mexico to

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<v Speaker 3>crack down on illegal immigration, Brazil to stop to drop

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<v Speaker 3>the prosecution of ex President Bolsonaro, and India to stop

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<v Speaker 3>buying Russian oil. He has used this tool a lot

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<v Speaker 3>in this administration in his first year. Come Onian on

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<v Speaker 3>the conversation, and you know you brought Rick to us.

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<v Speaker 3>I'd love for you to ask Rick a question as well.

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<v Speaker 6>Well.

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<v Speaker 4>Carol.

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<v Speaker 7>One thing you're putting out there is that the terriffs

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<v Speaker 7>that he has imposed under the laws that's at issue

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<v Speaker 7>at the Supreme Court known as IEPA. There are other

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<v Speaker 7>teriff authorities that he's used that are not before the

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<v Speaker 7>Supreme Court. And so actually my question for Rick is,

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<v Speaker 7>you know, the President has said that even if he

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<v Speaker 7>loses the Supreme Court case, he's going to turn to

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<v Speaker 7>these other authorities and try to replicate the tariffs. And

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<v Speaker 7>I'm actually really interested in terms of your business. Are

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<v Speaker 7>how concerned are you that even if you win at

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<v Speaker 7>the Supreme Court, you're just going to see a whole

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<v Speaker 7>different variety of teriffts, maybe ones that force you to

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<v Speaker 7>kind of shift your business plans again and shift where

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<v Speaker 7>you're manufacturing some of your products.

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<v Speaker 6>Of course, that's the risk, and mister Trump has a

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<v Speaker 6>track record of changing the rules on a very rapid cadence,

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<v Speaker 6>which makes it hard for us to run our business.

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<v Speaker 6>It's a little difficult to respond to like what he

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<v Speaker 6>might do or what he might not do. All the

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<v Speaker 6>other provisions in the law that give him the rights

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<v Speaker 6>in post tariffs come with a lot of strings attached,

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<v Speaker 6>so it requires a lot of fact finding hearings. It's

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<v Speaker 6>a slow process. He can't do it by fiat, he

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<v Speaker 6>can't do it by true social tweet. So I think

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<v Speaker 6>it's better to wait and see what he actually does.

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<v Speaker 6>I'm not aware of a legal mechanism where mister Trump

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<v Speaker 6>can be a taxing body. He's not allowed to do that.

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<v Speaker 6>The Constitution is quite clear on that. So as much

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<v Speaker 6>as he wants to do it without going through Congress,

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<v Speaker 6>he can't. The law says he cannot. And so I

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<v Speaker 6>don't want to overreact to threats made on TV. I

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<v Speaker 6>think the Constitution provides the answer to that. Ultimately, at

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<v Speaker 6>the end of the day, it's going to be a

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<v Speaker 6>lot harder for him to build a tariff structure going

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<v Speaker 6>around Congress. The law doesn't provide for it. And so

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<v Speaker 6>we'll see what he does, and when he does it

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<v Speaker 6>will figure out how to respond.

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<v Speaker 4>Rick. The story that Greg wrote back in November talks

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<v Speaker 4>a little bit about in the beginning of this kind

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<v Speaker 4>of game of whack a mole, moving production from one

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<v Speaker 4>country to another, only to find the tariffs have been

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<v Speaker 4>imposed in this country. Also that was China to India

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<v Speaker 4>and the like. At the end of the day, the

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<v Speaker 4>president wants teriffs because he wants this stuff made in

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<v Speaker 4>the US. So is there a way that you foresee

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<v Speaker 4>in the future you could ever just make all the

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<v Speaker 4>products or a good portion of the products that are

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<v Speaker 4>made overseas right now, you could make them in the US.

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<v Speaker 6>Certainly, no, And I've answered the questions many times. The

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<v Speaker 6>answer is still no. And there's no evidence in the

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<v Speaker 6>marketplace that anyone really disagrees with me. I think, unfortunately

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<v Speaker 6>the way this is being dealt with is that our

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<v Speaker 6>industry and companies like ours are considered a sacrificeable rounding error.

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<v Speaker 6>They don't really have any idea what we do or

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<v Speaker 6>how we do it. They want cars made here, they

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<v Speaker 6>want cell phones made here, they want chips made here,

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<v Speaker 6>and so they've come up with one own rule. That's

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<v Speaker 6>what their intent is. I want to bring back pharmaceuticals,

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<v Speaker 6>and like, if something bad happens to us, it's not

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<v Speaker 6>believe their problem. We don't move the needle economically, and

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<v Speaker 6>so they don't care. And I don't think they care

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<v Speaker 6>about our employees. And I don't think they care about

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<v Speaker 6>your families who use our products. We're rounding error. And

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<v Speaker 6>I just can't look at the people who work here,

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<v Speaker 6>the people who use our products and say, I think

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<v Speaker 6>you're a rounding error.

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<v Speaker 1>I don't, yeah, And I.

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<v Speaker 6>Think that we create great jobs. Greg has been through

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<v Speaker 6>our facilities. He can tell you that, like We're a

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<v Speaker 6>massive consumer and user of technology of technology. I think

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<v Speaker 6>that our business season, the way we run our business

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<v Speaker 6>is an exemplar to other companies. We are what you

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<v Speaker 6>want here, we just don't make a high tech product.

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<v Speaker 3>Yeah, you know, Greg should apologize.

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<v Speaker 1>Greg.

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<v Speaker 3>I think Rick makes a really good point. We talk

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<v Speaker 3>so much about small and mid sized businesses being the

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<v Speaker 3>backbone of the US economy and putting American workers to work,

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<v Speaker 3>and he is certainly an example of that.

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<v Speaker 8>Greg.

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<v Speaker 3>We're now focusing on next week. Third times, maybe the

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<v Speaker 3>charm in terms of whether we get the Supreme Court

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<v Speaker 3>to rule. What should we be watching out for and

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<v Speaker 3>are we likely to get it?

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<v Speaker 7>And just quickly, well, we don't know even though that

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<v Speaker 7>we're having opinions at all next Kay, we'll probably find

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<v Speaker 7>that out on Friday. If we don't get the tariff

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<v Speaker 7>opinion next week, the Court's not goes on a four

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<v Speaker 7>week recess. They're not scheduled to take the bench again

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<v Speaker 7>until February the twentieth, and normally that's how they release

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<v Speaker 7>their opinions. So if we don't get it next week,

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<v Speaker 7>we could be in for our fairly long week.

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<v Speaker 3>Are you surprised it's taking so long, just ten more seconds.

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<v Speaker 7>You know, I'm not sure I've been saying. I still

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<v Speaker 7>stand with this. I'm not surprised either way. Court has

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<v Speaker 7>tried to expedite it. But this is a big case.

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<v Speaker 7>It's going to take a while, all.

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<v Speaker 3>Right, so appreciate it. Great story as always, Greg Store,

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<v Speaker 3>Bloomberg News Supreme Court reporter and Rick Woldenberg. He is

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<v Speaker 3>CEO of Learning Resources and hand to Mind, a favorite

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<v Speaker 3>of Tim's kids. It turns out.

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<v Speaker 2>You're listening to the Bloomberg Business Weekdaily podcast. Catch us

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<v Speaker 9>There's no chance that you're gonna have that kind of problem,

0:12:25.880 --> 0:12:29.040
<v Speaker 9>but there are chances to have a problem somewhere, somehow,

0:12:29.240 --> 0:12:33.040
<v Speaker 9>you know. The biggest unknown is geopolitics.

0:12:33.240 --> 0:12:35.680
<v Speaker 4>JP Morgan Chase CEO Jamie Diamond this past week with

0:12:35.760 --> 0:12:38.520
<v Speaker 4>Bloomberg host and Carlisle co founder and co chair David

0:12:38.559 --> 0:12:42.240
<v Speaker 4>Rubinstein at the US Chamber of Commerce in Washington.

0:12:41.840 --> 0:12:42.079
<v Speaker 1>D C.

0:12:42.480 --> 0:12:45.560
<v Speaker 3>JP Morgan, by the way, featured very prominently in a

0:12:45.600 --> 0:12:47.920
<v Speaker 3>new book out on the nineteen twenty nine market crash,

0:12:48.000 --> 0:12:50.360
<v Speaker 3>and this feels like kind of the right conversation to

0:12:50.400 --> 0:12:53.120
<v Speaker 3>be having at this moment in time when certain investing

0:12:53.200 --> 0:12:58.240
<v Speaker 3>narratives dominate US financial markets, AI, private credit, transparency concerns,

0:12:58.280 --> 0:13:02.599
<v Speaker 3>crypto prediction markets, and more questions about whether these narratives

0:13:02.679 --> 0:13:05.160
<v Speaker 3>are the right ones that lead to longer term gains

0:13:05.160 --> 0:13:07.839
<v Speaker 3>and prosperity for investors and for the country. There's a

0:13:07.880 --> 0:13:08.800
<v Speaker 3>lot of questions out.

0:13:08.640 --> 0:13:11.600
<v Speaker 4>There, yeah, stuff about exuberance as well. Could it lead

0:13:11.640 --> 0:13:13.480
<v Speaker 4>to a crisis or to a crash? It does lead

0:13:13.520 --> 0:13:15.600
<v Speaker 4>us to nineteen twenty nine, a book that takes us

0:13:15.640 --> 0:13:18.440
<v Speaker 4>inside the greatest crash in Wall Street history and how

0:13:18.440 --> 0:13:21.079
<v Speaker 4>it shattered a nation. The book by New York Times

0:13:21.080 --> 0:13:23.920
<v Speaker 4>bestselling author of Too Big to Fail, who also happens

0:13:23.960 --> 0:13:26.280
<v Speaker 4>to be an award winning journalist for The New York Times.

0:13:26.400 --> 0:13:28.680
<v Speaker 4>He's the founder and editor at large of Deal Book.

0:13:28.679 --> 0:13:32.200
<v Speaker 4>He's co anchor of Squawk Box on CNBC. Andrew Ross

0:13:32.200 --> 0:13:34.000
<v Speaker 4>Sorkin joins us now, welcome.

0:13:33.679 --> 0:13:34.480
<v Speaker 1>Thanks for having me, guys.

0:13:34.600 --> 0:13:36.560
<v Speaker 4>Yeah, thanks for joining me here. You know, it's funny.

0:13:36.679 --> 0:13:39.280
<v Speaker 4>Jamie Diamond was asked about just now by David Rubin

0:13:39.280 --> 0:13:42.679
<v Speaker 4>Sigin about the financial crisis and about whether or not

0:13:43.040 --> 0:13:46.240
<v Speaker 4>we could have another big financial crisis. Our question for

0:13:46.320 --> 0:13:48.880
<v Speaker 4>you is, in this day and age, could we have

0:13:48.920 --> 0:13:52.800
<v Speaker 4>another nineteen twenty nine like stock market crash? Or is

0:13:52.840 --> 0:13:56.199
<v Speaker 4>the structure just completely different? Are the protections now in place?

0:13:56.240 --> 0:13:57.160
<v Speaker 4>Could it happen again?

0:13:57.480 --> 0:14:00.640
<v Speaker 10>So yes and no, I can explain I know, and

0:14:00.679 --> 0:14:02.600
<v Speaker 10>then if you'd like, I can get you there if

0:14:02.640 --> 0:14:05.200
<v Speaker 10>you want to get if you want to go there. Look,

0:14:05.640 --> 0:14:09.040
<v Speaker 10>the good news is the world is very different today

0:14:09.200 --> 0:14:11.559
<v Speaker 10>from a technology perspective. One of the reasons that nineteen

0:14:11.559 --> 0:14:14.439
<v Speaker 10>twenty nine ever even happened was literally the stock exchange

0:14:14.800 --> 0:14:17.720
<v Speaker 10>was oftentimes off, meaning the numbers that you saw on

0:14:17.760 --> 0:14:21.160
<v Speaker 10>the big board were three four five hours behind the

0:14:21.240 --> 0:14:24.640
<v Speaker 10>actual the actual numbers, and as a result, people were

0:14:24.680 --> 0:14:27.520
<v Speaker 10>just selling indiscriminately because they just thought the whole thing

0:14:27.560 --> 0:14:30.040
<v Speaker 10>didn't even work. I mean, one of the reasons youo'y

0:14:30.120 --> 0:14:32.760
<v Speaker 10>see the famous pictures of people down the New York

0:14:32.720 --> 0:14:35.520
<v Speaker 10>Stock Exchange, and actually the reason they're there, the reason

0:14:35.560 --> 0:14:37.520
<v Speaker 10>they're all in the street, is these are people who

0:14:37.560 --> 0:14:39.360
<v Speaker 10>come from all over New York and the rest of

0:14:39.360 --> 0:14:41.760
<v Speaker 10>the country to try to find out, like, what's happened

0:14:41.800 --> 0:14:44.840
<v Speaker 10>to their money, so that piece of it you take

0:14:44.840 --> 0:14:46.680
<v Speaker 10>off the table because you can get the numbers right

0:14:46.760 --> 0:14:50.360
<v Speaker 10>here and off of your terminal and everything else. There's

0:14:50.360 --> 0:14:55.120
<v Speaker 10>an SEC Insider trading is not legal. It was legal then,

0:14:55.160 --> 0:14:58.080
<v Speaker 10>so all the manipulation that was taking place, there was

0:14:58.120 --> 0:15:02.320
<v Speaker 10>no FDIC, so you had bank runs that took place

0:15:02.400 --> 0:15:06.080
<v Speaker 10>in the aftermath of this crisis. You know, we could

0:15:06.080 --> 0:15:09.800
<v Speaker 10>talk about Glass Stiegel and what that either representator didn't

0:15:09.840 --> 0:15:11.480
<v Speaker 10>or whether you think it's come back or not. But

0:15:11.560 --> 0:15:14.760
<v Speaker 10>here's a bigger one. Capital requirements for banks there were

0:15:14.800 --> 0:15:18.800
<v Speaker 10>none zero back then. So there's a lot of reasons

0:15:19.280 --> 0:15:23.680
<v Speaker 10>you'd like to believe that we can't have another crisis

0:15:24.000 --> 0:15:26.080
<v Speaker 10>of the magnitude we did. And by the way, it's

0:15:26.080 --> 0:15:29.120
<v Speaker 10>also worth noting the crash in nineteen twenty nine wasn't

0:15:29.160 --> 0:15:31.800
<v Speaker 10>preordained that when that happened that we had to have

0:15:31.800 --> 0:15:35.520
<v Speaker 10>a great depression. That was really the first domino of

0:15:35.560 --> 0:15:38.240
<v Speaker 10>a series of dominoes, and then a series of frankly

0:15:38.320 --> 0:15:41.520
<v Speaker 10>terrible policy choices, the Federal Reserve basically doing nothing, the

0:15:41.560 --> 0:15:45.800
<v Speaker 10>implementation of tariffs. We can discuss what that means today.

0:15:45.840 --> 0:15:47.560
<v Speaker 10>You know, there was a gold standard, so there was

0:15:47.560 --> 0:15:49.240
<v Speaker 10>a question about how much money you could throw into

0:15:49.240 --> 0:15:53.640
<v Speaker 10>the system, austerity, all of that that worked against things

0:15:53.640 --> 0:15:56.320
<v Speaker 10>that led to twenty five percent unemployment didn't have to happen,

0:15:56.800 --> 0:15:57.400
<v Speaker 10>if you will.

0:15:57.440 --> 0:15:58.680
<v Speaker 3>I have to say that was one of the things

0:15:58.680 --> 0:16:00.080
<v Speaker 3>in reading your book that I was like, wait, I

0:16:00.080 --> 0:16:01.720
<v Speaker 3>think there was just an assumption that it was the

0:16:01.760 --> 0:16:03.480
<v Speaker 3>market crash that caused the Great Depression.

0:16:03.520 --> 0:16:05.880
<v Speaker 10>Oh yeah, everybody thinks using like there's one bad day

0:16:06.160 --> 0:16:07.840
<v Speaker 10>and then somehow there's a great depression.

0:16:08.080 --> 0:16:09.960
<v Speaker 1>But there's so much in between.

0:16:10.320 --> 0:16:12.720
<v Speaker 3>You know, listen, so many people on your book tours

0:16:12.720 --> 0:16:14.960
<v Speaker 3>like everybody's like this nineteen twenty nine happen again. And

0:16:15.000 --> 0:16:17.120
<v Speaker 3>I do wonder, is there a better, smarter question that

0:16:17.160 --> 0:16:19.920
<v Speaker 3>we should be asking you, having done all this research

0:16:20.240 --> 0:16:22.880
<v Speaker 3>and taken us back there making us feel like we

0:16:22.880 --> 0:16:25.360
<v Speaker 3>were in the room when it happened, You know that

0:16:25.360 --> 0:16:26.040
<v Speaker 3>we should.

0:16:25.760 --> 0:16:28.000
<v Speaker 1>Be asking you, well, look, it didn't happen, and.

0:16:28.040 --> 0:16:29.280
<v Speaker 3>Then can nineteen twenty nine.

0:16:29.720 --> 0:16:31.880
<v Speaker 10>I'll tell you, I'll give you actually how you could

0:16:31.880 --> 0:16:35.120
<v Speaker 10>get to nineteen thirty two today, and that that sort

0:16:35.120 --> 0:16:39.800
<v Speaker 10>of maybe speaks to this. So one of the lessons

0:16:39.840 --> 0:16:42.160
<v Speaker 10>that came out of nineteen twenty nine, it was actually

0:16:42.200 --> 0:16:44.280
<v Speaker 10>the lesson that Ben Bernanke learned when he was doing

0:16:44.280 --> 0:16:47.600
<v Speaker 10>his Great His thesis on the Great Depression at Princeton

0:16:48.080 --> 0:16:50.800
<v Speaker 10>is when there's a crash or a crisis or a panic,

0:16:51.560 --> 0:16:54.360
<v Speaker 10>the playbook is to throw money at the problem. Maybe

0:16:54.360 --> 0:16:57.080
<v Speaker 10>politically unpopular, but that is the lesson. And he did

0:16:57.160 --> 0:16:58.520
<v Speaker 10>it in two thousand and eight, and by the way,

0:16:58.520 --> 0:17:01.560
<v Speaker 10>we did it again during the pandemic. And I think

0:17:01.600 --> 0:17:03.720
<v Speaker 10>we now think that there is a playbook. And by

0:17:03.720 --> 0:17:06.520
<v Speaker 10>the way, there's also therefore a put on the market

0:17:06.560 --> 0:17:09.560
<v Speaker 10>because we now we have the playbook. The one thing

0:17:09.640 --> 0:17:13.480
<v Speaker 10>that's different this time is if you genuinely believe every

0:17:13.480 --> 0:17:16.040
<v Speaker 10>financial crisis to some degree is a function of debt.

0:17:16.080 --> 0:17:18.879
<v Speaker 10>Too much debt in the system. So far we're all

0:17:18.920 --> 0:17:22.440
<v Speaker 10>talking about corporate debt. Really back then, there was in

0:17:22.520 --> 0:17:25.560
<v Speaker 10>nineteen twenty nine there was a budget surplus in America.

0:17:25.720 --> 0:17:28.399
<v Speaker 10>Now we have thirty eight trillion dollars. The question is,

0:17:28.840 --> 0:17:31.760
<v Speaker 10>let's say we have a crash and the government says,

0:17:31.800 --> 0:17:34.560
<v Speaker 10>you know, we're gonna write check for five trillion dollars.

0:17:34.320 --> 0:17:37.200
<v Speaker 10>That's the put. And whether you believe that there is

0:17:37.240 --> 0:17:40.200
<v Speaker 10>some kind of invisible line that turns into a red

0:17:40.240 --> 0:17:42.679
<v Speaker 10>line for the bond market where they say, you know what,

0:17:42.680 --> 0:17:45.760
<v Speaker 10>we like you guys in America. We'll happy to lend

0:17:45.800 --> 0:17:47.760
<v Speaker 10>you money at three or four times the rate that

0:17:47.800 --> 0:17:49.480
<v Speaker 10>we do today. And that's the interest that you're going

0:17:49.520 --> 0:17:51.200
<v Speaker 10>to pay. And then all of a sudden you actually

0:17:51.200 --> 0:17:54.520
<v Speaker 10>do get into some kind of austerity spiral and then

0:17:54.560 --> 0:17:56.720
<v Speaker 10>you're living at a twenty five percent unemployment rate in

0:17:57.000 --> 0:17:59.880
<v Speaker 10>the country. That's I mean, when you really started trying

0:17:59.880 --> 0:18:01.680
<v Speaker 10>to get through the permutations, how do you get there

0:18:02.520 --> 0:18:03.760
<v Speaker 10>in this day and age.

0:18:03.840 --> 0:18:04.560
<v Speaker 1>That's one way.

0:18:04.840 --> 0:18:07.960
<v Speaker 10>One other thing that's interesting today is the technology, as

0:18:07.960 --> 0:18:09.919
<v Speaker 10>bad as it was then, in some.

0:18:09.800 --> 0:18:11.960
<v Speaker 1>Cases, could even be too good today.

0:18:12.200 --> 0:18:14.280
<v Speaker 10>And I think we learned that with the Silicon Valley

0:18:14.280 --> 0:18:18.359
<v Speaker 10>Bank of Failure, where someone goes on Twitter and says,

0:18:18.520 --> 0:18:21.440
<v Speaker 10>I'm pulling my account now that information's accurate. Everybody does

0:18:21.440 --> 0:18:24.080
<v Speaker 10>it over the weekend on their Everybody does it. I

0:18:24.200 --> 0:18:27.439
<v Speaker 10>used to think, oh, this device is so great because

0:18:27.480 --> 0:18:29.040
<v Speaker 10>if there was a bad piece of information, it could

0:18:29.040 --> 0:18:31.600
<v Speaker 10>be corrected very quickly. But if there's an accurate piece

0:18:31.600 --> 0:18:33.720
<v Speaker 10>of information that's not good.

0:18:33.840 --> 0:18:35.480
<v Speaker 3>Right, people act on it quickly.

0:18:35.560 --> 0:18:37.800
<v Speaker 4>Well, So let's talk more about the technology today and

0:18:38.080 --> 0:18:41.280
<v Speaker 4>sort of parallels and the idea of maybe irrational exuberance

0:18:41.320 --> 0:18:45.560
<v Speaker 4>and signs of irrational exuberance right now. In reading the book.

0:18:45.600 --> 0:18:47.159
<v Speaker 4>In the nineteen twenties, there were certainly a lot of that,

0:18:47.200 --> 0:18:49.080
<v Speaker 4>but it seemed like it was, you know, more on

0:18:49.119 --> 0:18:52.840
<v Speaker 4>credit and people buying on margin. Nowadays there's the idea

0:18:52.840 --> 0:18:56.280
<v Speaker 4>of crypto Some of that has been kind of pulled back,

0:18:56.320 --> 0:18:58.680
<v Speaker 4>and in just a couple of months actually since you

0:18:58.680 --> 0:19:00.520
<v Speaker 4>published the book, we've seen some there is.

0:19:00.480 --> 0:19:02.439
<v Speaker 10>A lot of debt in the crypto market, I mean

0:19:02.560 --> 0:19:03.800
<v Speaker 10>shocking amount of leverage.

0:19:03.880 --> 0:19:06.320
<v Speaker 4>So there's there's that side of things. There's prediction markets

0:19:06.320 --> 0:19:08.240
<v Speaker 4>and sort of the money that's going into those, the

0:19:08.320 --> 0:19:12.720
<v Speaker 4>excitement around those. The private credit and concerns about private

0:19:12.720 --> 0:19:15.320
<v Speaker 4>credit that we've seen in the last couple of months,

0:19:15.800 --> 0:19:17.080
<v Speaker 4>any signs of anything there.

0:19:17.280 --> 0:19:20.240
<v Speaker 10>Look, the private credit business has always concerned me because

0:19:20.240 --> 0:19:22.400
<v Speaker 10>of the transparency of it, or frankly, lack of transparence.

0:19:22.400 --> 0:19:23.320
<v Speaker 1>I think if you were to talk to J.

0:19:23.480 --> 0:19:26.440
<v Speaker 10>Powell, he would tell you that, you know, even the

0:19:26.480 --> 0:19:30.200
<v Speaker 10>Federal Reserve doesn't have a full grasp of how inter

0:19:30.560 --> 0:19:32.960
<v Speaker 10>linked all of the debt and credit is in the

0:19:33.000 --> 0:19:36.359
<v Speaker 10>private credit market. Having said that, depending on what numbers

0:19:36.359 --> 0:19:38.560
<v Speaker 10>you're looking at. You could argue, it's only two trillion dollars,

0:19:38.600 --> 0:19:40.320
<v Speaker 10>two trillion dollars a lot of money, but it's not.

0:19:40.840 --> 0:19:43.920
<v Speaker 10>It's not the entire market, its stem So I don't

0:19:43.920 --> 0:19:46.560
<v Speaker 10>know if it's I don't know if it's systemic. By

0:19:46.560 --> 0:19:50.080
<v Speaker 10>the way, I might worry more today about short term treasuries.

0:19:50.200 --> 0:19:53.040
<v Speaker 10>I mean, by the way we the United States have

0:19:53.040 --> 0:19:55.520
<v Speaker 10>been trying to sell short term treasuries like crazy because

0:19:55.560 --> 0:19:57.800
<v Speaker 10>we think that we can get a cheaper rate that way.

0:19:58.160 --> 0:20:01.360
<v Speaker 10>That's also a much more complicated place to be if

0:20:01.400 --> 0:20:03.959
<v Speaker 10>in fact you actually have to pay it back more quickly.

0:20:04.600 --> 0:20:06.400
<v Speaker 3>One of the questions we were kicking around when we're

0:20:06.440 --> 0:20:09.720
<v Speaker 3>thinking about having our discussion with you, is is Wall

0:20:09.760 --> 0:20:11.080
<v Speaker 3>Street greedier today?

0:20:12.640 --> 0:20:15.640
<v Speaker 10>I don't know if it's greedier today. Frankly, I always argue, agreed, Look,

0:20:15.640 --> 0:20:16.040
<v Speaker 10>I think.

0:20:15.880 --> 0:20:17.920
<v Speaker 3>There's greed bad necessarily.

0:20:18.200 --> 0:20:20.240
<v Speaker 10>I think the lesson for me of writing this book

0:20:20.280 --> 0:20:22.679
<v Speaker 10>in some ways was that they didn't use the phrase

0:20:22.720 --> 0:20:26.720
<v Speaker 10>back then. But this idea of fomo, which by the way,

0:20:26.840 --> 0:20:29.320
<v Speaker 10>is driven in part by this phone and TikTok and

0:20:29.320 --> 0:20:31.080
<v Speaker 10>people seeing all sorts of things, by the way, I

0:20:31.080 --> 0:20:33.600
<v Speaker 10>think makes inequality. Actually, I don't know if it makes

0:20:33.640 --> 0:20:35.720
<v Speaker 10>it worse, but the perception of it and just the

0:20:35.800 --> 0:20:38.399
<v Speaker 10>visibility of it. But I do think the sort of

0:20:38.600 --> 0:20:42.919
<v Speaker 10>fomo greed envy, I think that's what's driven. That is

0:20:43.000 --> 0:20:48.480
<v Speaker 10>what's driven people for you know, the test of time,

0:20:48.680 --> 0:20:49.200
<v Speaker 10>and that's.

0:20:49.000 --> 0:20:49.560
<v Speaker 1>What it is.

0:20:49.560 --> 0:20:52.520
<v Speaker 10>Is it Is it worse today than it was before?

0:20:53.000 --> 0:20:54.600
<v Speaker 10>I don't know, except and maybe this gets to the

0:20:54.640 --> 0:20:56.560
<v Speaker 10>inequality piece. I think there are more people who think

0:20:56.560 --> 0:21:01.600
<v Speaker 10>that they're effectively unable to actually make it, and therefore

0:21:01.640 --> 0:21:04.280
<v Speaker 10>more willing to take risk and more willing to sort

0:21:04.280 --> 0:21:06.800
<v Speaker 10>of try to grab this lottery ticket as opposed to

0:21:06.880 --> 0:21:08.760
<v Speaker 10>sort of make it over time slowly.

0:21:09.160 --> 0:21:13.000
<v Speaker 4>So so on that the ultra wealthy today versus the

0:21:13.080 --> 0:21:15.159
<v Speaker 4>ultra wealthy back then, And reading the book, there's a

0:21:15.200 --> 0:21:16.840
<v Speaker 4>lot of you know, people have their yachts and in

0:21:16.880 --> 0:21:20.040
<v Speaker 4>some in some cases actually sailing to work in Lower

0:21:20.119 --> 0:21:25.399
<v Speaker 4>Manhattan on the yacht. Absolutely today, the wealthiest people today,

0:21:25.760 --> 0:21:28.720
<v Speaker 4>how much different are their lives versus the ultra wealthy

0:21:28.800 --> 0:21:31.120
<v Speaker 4>back then, and not with the technology, but I mean

0:21:31.560 --> 0:21:33.280
<v Speaker 4>what they were able to do versus what the normal

0:21:33.280 --> 0:21:35.359
<v Speaker 4>person is able to do. I mean, you have you know, billionaires,

0:21:35.359 --> 0:21:35.919
<v Speaker 4>going to space.

0:21:35.960 --> 0:21:39.440
<v Speaker 10>Now, I think there's a there is a distinction. But look,

0:21:39.480 --> 0:21:42.480
<v Speaker 10>I think you go back and I think of JP

0:21:42.600 --> 0:21:47.800
<v Speaker 10>Morgan's son. He was building the biggest, the biggest yacht

0:21:48.200 --> 0:21:50.879
<v Speaker 10>at the time people would have thought that's like, you know,

0:21:51.040 --> 0:21:54.159
<v Speaker 10>the Gates or Bezos, Yeah, whatever yacht you're thinking of.

0:21:54.359 --> 0:21:56.960
<v Speaker 10>I think that there was a distinction. But I remember

0:21:57.600 --> 0:22:00.199
<v Speaker 10>having an interesting conversation I've enough to drop a name

0:22:00.200 --> 0:22:04.560
<v Speaker 10>with President Obama, interesting on maybe two thousand and fifteen

0:22:04.840 --> 0:22:09.000
<v Speaker 10>about the idea that and I think this is true

0:22:09.000 --> 0:22:12.960
<v Speaker 10>in the twenties, but really true even just twenty.

0:22:12.640 --> 0:22:15.240
<v Speaker 1>Five years ago. I think CEOs people.

0:22:15.040 --> 0:22:18.960
<v Speaker 10>Of means were oftentimes living in the same neighborhoods with

0:22:19.520 --> 0:22:22.200
<v Speaker 10>the people who worked on the factory floor of their companies,

0:22:22.240 --> 0:22:24.760
<v Speaker 10>and as a result, their kids went to the same schools,

0:22:25.359 --> 0:22:29.520
<v Speaker 10>and they went to the same temples and churches, and

0:22:29.680 --> 0:22:31.880
<v Speaker 10>ran into each other at the same restaurants and markets.

0:22:32.240 --> 0:22:35.040
<v Speaker 10>And I think that there's a cohesion there that's important

0:22:35.080 --> 0:22:38.920
<v Speaker 10>for our culture. And I think that increasingly that has

0:22:39.400 --> 0:22:39.960
<v Speaker 10>come apart.

0:22:41.000 --> 0:22:43.040
<v Speaker 3>We were talking with Andrew Ross sork In. The book

0:22:43.119 --> 0:22:45.760
<v Speaker 3>is nineteen twenty nine Inside the Greatest Crash in Wall

0:22:45.800 --> 0:22:48.399
<v Speaker 3>Street history and how it shattered in nation. You know,

0:22:48.600 --> 0:22:51.679
<v Speaker 3>politics got in the way of regulating banks and markets

0:22:51.680 --> 0:22:54.040
<v Speaker 3>back then, and I think it was kind of fascinating

0:22:54.600 --> 0:22:56.480
<v Speaker 3>to see some of that. Is there a parallel to

0:22:56.560 --> 0:22:59.520
<v Speaker 3>that today when you look at the activities Andrew coming

0:22:59.520 --> 0:23:03.800
<v Speaker 3>out of the White House on things like cryptocurrencies, regulatory oversight, Like,

0:23:03.880 --> 0:23:06.560
<v Speaker 3>I just wonder how you see that.

0:23:06.920 --> 0:23:10.080
<v Speaker 10>I'll give you actually a parallel that may seem like

0:23:10.640 --> 0:23:13.080
<v Speaker 10>not like a parallel, but to me is which is

0:23:13.400 --> 0:23:16.600
<v Speaker 10>we're all talking about right now, the politicization potentially and

0:23:16.720 --> 0:23:20.560
<v Speaker 10>independence of the Federal Reserve. I actually remember, as I

0:23:20.640 --> 0:23:22.600
<v Speaker 10>was working on this book, looking at the diaries of

0:23:22.640 --> 0:23:24.800
<v Speaker 10>a lot of the people who worked on the the

0:23:24.800 --> 0:23:27.240
<v Speaker 10>Federal Reserve on the board, and it was still such

0:23:27.240 --> 0:23:30.800
<v Speaker 10>a new institution born in nineteen thirteen that they were

0:23:30.880 --> 0:23:34.960
<v Speaker 10>concerned about the political implications of either raising or lowering

0:23:35.000 --> 0:23:36.040
<v Speaker 10>interest rates at any given moment.

0:23:36.080 --> 0:23:37.719
<v Speaker 1>They actually cared about the politics.

0:23:37.840 --> 0:23:37.959
<v Speaker 9>Now.

0:23:38.000 --> 0:23:40.560
<v Speaker 10>It wasn't that Hoover was telling them exactly what to do,

0:23:40.960 --> 0:23:42.680
<v Speaker 10>but they were so scared not that they were just

0:23:42.720 --> 0:23:44.240
<v Speaker 10>going to get hauled up in front of Congress from

0:23:44.240 --> 0:23:47.120
<v Speaker 10>making the wrong choice, but that the entire thing which

0:23:47.240 --> 0:23:51.240
<v Speaker 10>people still called back then the experiment at that point

0:23:51.440 --> 0:23:56.199
<v Speaker 10>that Congress could effectively disband this very idea, And so

0:23:56.320 --> 0:23:58.639
<v Speaker 10>I raised that only because it's clear to me that

0:23:58.680 --> 0:24:00.879
<v Speaker 10>actually the independence of the FED matters. In fact, one

0:24:00.880 --> 0:24:02.680
<v Speaker 10>of the reasons I think that they didn't act more

0:24:02.680 --> 0:24:05.679
<v Speaker 10>forcefully in nineteen twenty nine and in nineteen thirty and

0:24:05.760 --> 0:24:08.840
<v Speaker 10>after that was in part because there was their own

0:24:08.880 --> 0:24:11.480
<v Speaker 10>concern about the politics, putting aside whether the White House

0:24:11.560 --> 0:24:12.520
<v Speaker 10>was telling them one thing.

0:24:12.600 --> 0:24:13.320
<v Speaker 1>To do or the other.

0:24:13.400 --> 0:24:17.679
<v Speaker 10>Do we have that today, I think less so, or

0:24:17.680 --> 0:24:21.160
<v Speaker 10>at least up until recently less so. I think that

0:24:21.359 --> 0:24:26.280
<v Speaker 10>maybe in the same way that clearly those governors of

0:24:26.320 --> 0:24:29.840
<v Speaker 10>the FED back then were cognizant and nervous about the politics.

0:24:29.880 --> 0:24:31.280
<v Speaker 10>I mean, I don't think this FED things are going

0:24:31.320 --> 0:24:35.480
<v Speaker 10>to be disbanded, but I think that they're cognizant. They

0:24:35.640 --> 0:24:39.040
<v Speaker 10>are very aware, very aware of what the President's saying,

0:24:39.320 --> 0:24:42.800
<v Speaker 10>what their reputations are going to be like as a result,

0:24:42.880 --> 0:24:45.320
<v Speaker 10>what people are saying about them, whether they have to

0:24:45.359 --> 0:24:48.280
<v Speaker 10>do certain things to demonstrate their independence.

0:24:48.560 --> 0:24:49.159
<v Speaker 1>I mean, that's the thing.

0:24:49.440 --> 0:24:52.520
<v Speaker 10>The idea of demonstrating your independence effectively means you might

0:24:52.520 --> 0:24:54.679
<v Speaker 10>even make a decision that might not be the decision

0:24:54.720 --> 0:24:58.520
<v Speaker 10>you'd otherwise make, but you're doing it for your own reputation.

0:24:58.560 --> 0:25:01.920
<v Speaker 10>So yes, I think that all that is not healthy.

0:25:02.520 --> 0:25:04.879
<v Speaker 4>Does the FED keep that in a few months when

0:25:04.960 --> 0:25:07.199
<v Speaker 4>Jay Powell is no longer that chair, And look, we

0:25:07.200 --> 0:25:10.080
<v Speaker 4>can't see the future. We don't know who will be nominated.

0:25:10.200 --> 0:25:14.120
<v Speaker 10>I have a view that is maybe a contrarian this

0:25:14.280 --> 0:25:17.680
<v Speaker 10>in this space, which is there's a board and there's

0:25:17.720 --> 0:25:21.000
<v Speaker 10>a number of people on that board. I've never believed

0:25:21.000 --> 0:25:24.000
<v Speaker 10>that the entire FED is controlled by one human being.

0:25:24.040 --> 0:25:25.080
<v Speaker 1>It just isn't.

0:25:25.480 --> 0:25:28.520
<v Speaker 10>And so I think it's very important who is running it.

0:25:28.560 --> 0:25:32.480
<v Speaker 10>I'm not telling you it isn't. But I do think

0:25:32.560 --> 0:25:36.400
<v Speaker 10>there will be people on that board, those who care

0:25:36.520 --> 0:25:40.200
<v Speaker 10>also about their own independence, right, who will By the way,

0:25:40.200 --> 0:25:42.680
<v Speaker 10>another reason I think Jay Powell may ultimately stay on.

0:25:42.600 --> 0:25:44.720
<v Speaker 3>That board for that reason that you went there.

0:25:44.760 --> 0:25:47.640
<v Speaker 4>Because we're hearing that a lot, right, Because we keep.

0:25:47.440 --> 0:25:49.600
<v Speaker 3>Waiting, we're going to expect to hear an announcement. It

0:25:49.600 --> 0:25:52.400
<v Speaker 3>just keeps getting pushed off, and I just think there's.

0:25:52.280 --> 0:25:52.879
<v Speaker 1>A lot no.

0:25:52.880 --> 0:25:54.240
<v Speaker 10>No, by the way, it's not that I think that

0:25:54.320 --> 0:25:56.280
<v Speaker 10>Japa is going to be in this role for forever.

0:25:56.320 --> 0:25:57.280
<v Speaker 1>They're going to let him stay.

0:25:57.359 --> 0:25:59.200
<v Speaker 10>No, but just that you know, he can stay for

0:25:59.240 --> 0:26:01.879
<v Speaker 10>another two years after this on the board, and I

0:26:01.880 --> 0:26:04.320
<v Speaker 10>think it is more likely that he will stay. And

0:26:04.359 --> 0:26:08.440
<v Speaker 10>in fact, to the extent that the President would somehow

0:26:08.520 --> 0:26:11.280
<v Speaker 10>like to use that spot for somebody that he'd like

0:26:11.320 --> 0:26:14.119
<v Speaker 10>to nominate, I would argue this whole thing has backfired.

0:26:14.680 --> 0:26:17.480
<v Speaker 10>In fact, you know, I was talking to Harvey Schwartz

0:26:17.480 --> 0:26:20.200
<v Speaker 10>at at the New York Economic Club yesterday from Carlisle,

0:26:20.400 --> 0:26:23.800
<v Speaker 10>and he made the point most people, most taxi drivers,

0:26:23.800 --> 0:26:26.560
<v Speaker 10>people in the street didn't care about the the idea

0:26:26.600 --> 0:26:29.280
<v Speaker 10>of FED independence at all. A week ago, they didn't

0:26:29.280 --> 0:26:31.520
<v Speaker 10>even know. I mean, this has been an academic conversation

0:26:31.640 --> 0:26:34.760
<v Speaker 10>for the most part. Now it's like a thing, and

0:26:34.880 --> 0:26:38.360
<v Speaker 10>people constituents across the country all of a sudden care

0:26:38.560 --> 0:26:40.919
<v Speaker 10>about this issue. They may start to call their Congress.

0:26:40.920 --> 0:26:43.080
<v Speaker 10>I mean, it's very interesting. What's happening.

0:26:43.119 --> 0:26:44.680
<v Speaker 4>Yeah, I was actually I've shared this story before, but

0:26:44.720 --> 0:26:46.639
<v Speaker 4>I was with a friend's Sunday night who he follows

0:26:46.680 --> 0:26:48.520
<v Speaker 4>the news, but he's not in financial news or anything,

0:26:48.560 --> 0:26:50.199
<v Speaker 4>and he picks up his phone. He's like, have you

0:26:50.200 --> 0:26:52.280
<v Speaker 4>seen this video from Jay Powell? I was like, why

0:26:52.560 --> 0:26:55.360
<v Speaker 4>why do you care about Jay Powell? And that's how

0:26:55.359 --> 0:26:56.960
<v Speaker 4>big of a deal it was over the weekend.

0:26:57.200 --> 0:27:00.480
<v Speaker 10>And so to me, that's why in some way I

0:27:00.480 --> 0:27:03.600
<v Speaker 10>think Harvey Schwartz is probably right. The idea of fetting

0:27:03.680 --> 0:27:07.320
<v Speaker 10>dependence may may have actually become more important and potentially

0:27:07.320 --> 0:27:09.679
<v Speaker 10>even stronger, at least in the short term.

0:27:09.800 --> 0:27:11.720
<v Speaker 3>Hey, I want to ask you about the process. I

0:27:11.760 --> 0:27:15.240
<v Speaker 3>remember reading Too Big. Default loved it, and you know,

0:27:15.440 --> 0:27:18.600
<v Speaker 3>reported through it and was able to I think, like

0:27:18.680 --> 0:27:20.560
<v Speaker 3>you talk to some of the people who were in

0:27:20.600 --> 0:27:22.119
<v Speaker 3>the room when it all happened. I remember dring to

0:27:22.160 --> 0:27:25.160
<v Speaker 3>John mack on a panel of course, formerly a Morgan

0:27:25.240 --> 0:27:29.280
<v Speaker 3>Stanley and getting that actual physical tech from Mitsubishi. It

0:27:29.320 --> 0:27:32.639
<v Speaker 3>felt like it felt like, excuse me, you were in

0:27:32.680 --> 0:27:35.000
<v Speaker 3>the room like the way I read it, So tell

0:27:35.040 --> 0:27:38.119
<v Speaker 3>me how you did that. What was the box of

0:27:38.160 --> 0:27:39.600
<v Speaker 3>things that you got? You're like, oh my gosh.

0:27:39.680 --> 0:27:41.520
<v Speaker 1>So unfortunately all of these people were not alloted.

0:27:41.920 --> 0:27:44.840
<v Speaker 3>No, and you really.

0:27:44.720 --> 0:27:48.720
<v Speaker 10>I spent about eight years, really, you know, just combing

0:27:48.800 --> 0:27:52.919
<v Speaker 10>through boxes and boxes and materials, some at libraries, some

0:27:52.960 --> 0:27:57.960
<v Speaker 10>from families that were involved in this universities. I was

0:27:58.000 --> 0:28:01.960
<v Speaker 10>able to convince after a lot of knocking on doors

0:28:02.400 --> 0:28:05.639
<v Speaker 10>the Federal Reserve in New York to give me access

0:28:05.680 --> 0:28:07.640
<v Speaker 10>to the Board minutes. That was something that they haven't

0:28:07.680 --> 0:28:09.520
<v Speaker 10>given out over the past one hundred years. They, by

0:28:09.520 --> 0:28:11.560
<v Speaker 10>the way, interesting on their website today you can get

0:28:12.400 --> 0:28:14.480
<v Speaker 10>you know, last month's board minutes. You still can't get

0:28:14.520 --> 0:28:16.920
<v Speaker 10>the nineteen twenty nine of board minutes. But that sort

0:28:16.960 --> 0:28:19.560
<v Speaker 10>of became a treasure map for me. But a lot

0:28:19.560 --> 0:28:21.520
<v Speaker 10>you know, when you see two people talking to each

0:28:21.560 --> 0:28:25.440
<v Speaker 10>other in a room, what's oftentimes happening is I'm finding.

0:28:25.400 --> 0:28:27.040
<v Speaker 1>A series of depositions.

0:28:27.080 --> 0:28:29.600
<v Speaker 10>For example, where Charlie Mitchell, who's the main character of

0:28:29.600 --> 0:28:31.720
<v Speaker 10>the book, ran National City, which becomes a city group.

0:28:32.040 --> 0:28:34.960
<v Speaker 10>You know, he would be interviewed in the deposition or

0:28:34.960 --> 0:28:37.440
<v Speaker 10>in a civil case. There were also criminal cases where

0:28:37.480 --> 0:28:39.520
<v Speaker 10>they would ask him, you know, where were you when

0:28:39.840 --> 0:28:41.360
<v Speaker 10>X happy and said, well, I was walking down the

0:28:41.360 --> 0:28:43.239
<v Speaker 10>street and I got to sixty fifth Street and what

0:28:43.280 --> 0:28:45.280
<v Speaker 10>did you say to so and so? And I said

0:28:45.320 --> 0:28:48.160
<v Speaker 10>such and such. And then they would interview his colleague

0:28:48.200 --> 0:28:49.840
<v Speaker 10>and they'd say, well, you were standing on the corner,

0:28:49.840 --> 0:28:51.280
<v Speaker 10>what did you say to it? And he would say,

0:28:51.320 --> 0:28:53.400
<v Speaker 10>this is what I said. And then they'd interview his wife,

0:28:53.640 --> 0:28:54.840
<v Speaker 10>and so when.

0:28:55.000 --> 0:28:57.240
<v Speaker 1>Though all of those quotes are real.

0:28:57.080 --> 0:28:59.000
<v Speaker 10>And then oftentimes I would go and try to find

0:28:59.000 --> 0:29:02.280
<v Speaker 10>the architecture plans or a photograph of the room so

0:29:02.320 --> 0:29:04.440
<v Speaker 10>I could really try to put you in it, and

0:29:04.480 --> 0:29:06.480
<v Speaker 10>I try to understand what the weather was that day

0:29:06.520 --> 0:29:08.520
<v Speaker 10>and what you know, whether it was light out or not,

0:29:08.960 --> 0:29:12.560
<v Speaker 10>all these sort of little things so that again, if

0:29:12.560 --> 0:29:15.040
<v Speaker 10>you're trying to as a narrator narrator, you can sort

0:29:15.040 --> 0:29:16.520
<v Speaker 10>of feel like you're there.

0:29:17.080 --> 0:29:18.640
<v Speaker 4>Was there a time when you were, you know, in

0:29:18.720 --> 0:29:20.920
<v Speaker 4>some sort of archive over the last ten years doing

0:29:20.960 --> 0:29:24.200
<v Speaker 4>this where you got this sort of treasure trove of

0:29:24.320 --> 0:29:28.040
<v Speaker 4>correspondence between two people and you were like, Okay, this

0:29:27.320 --> 0:29:30.200
<v Speaker 4>is what I needed, This is the ticket, this is

0:29:30.280 --> 0:29:31.680
<v Speaker 4>going to illuminate.

0:29:31.160 --> 0:29:32.480
<v Speaker 10>You know what it was? One of it was like

0:29:32.920 --> 0:29:34.640
<v Speaker 10>or is it just so peaceful? No, it was like

0:29:34.960 --> 0:29:39.240
<v Speaker 10>it would either be raining, like you're in the rainforest

0:29:39.280 --> 0:29:42.080
<v Speaker 10>and it was fabulous, or just like the desert for months,

0:29:42.160 --> 0:29:44.480
<v Speaker 10>and you'd know because you'd go to these places looking

0:29:44.520 --> 0:29:46.680
<v Speaker 10>for stuff and then you'd go through all these boxes

0:29:46.720 --> 0:29:49.240
<v Speaker 10>and there'd be nothing, and then you'd be so depressed

0:29:49.240 --> 0:29:51.600
<v Speaker 10>and then magically something would happen. I mean, I will

0:29:51.600 --> 0:29:53.760
<v Speaker 10>say there was one moment for me still that I

0:29:53.760 --> 0:29:57.719
<v Speaker 10>think was just like a true aha, which is one

0:29:57.760 --> 0:29:59.440
<v Speaker 10>of the main characters the book is Carter Glass, of

0:29:59.480 --> 0:30:03.000
<v Speaker 10>course Stiegel. He was a senator in Virginia, and I

0:30:03.040 --> 0:30:06.400
<v Speaker 10>think I had an impression going in you know today,

0:30:06.720 --> 0:30:09.040
<v Speaker 10>it's off of that that bill is often held up

0:30:09.040 --> 0:30:11.840
<v Speaker 10>by Elizabeth Warren other people. Is this sort of pure

0:30:12.560 --> 0:30:15.800
<v Speaker 10>effort to really break up the banks for all the

0:30:15.880 --> 0:30:21.480
<v Speaker 10>right reasons. And I found a trove of correspondence that showed,

0:30:21.520 --> 0:30:25.960
<v Speaker 10>I think, maybe for the first time, that in fact,

0:30:26.080 --> 0:30:29.840
<v Speaker 10>parts of that bill were actually written by another banker

0:30:30.960 --> 0:30:35.520
<v Speaker 10>trying frankly to screw over JP Morgan. And you think

0:30:35.560 --> 0:30:38.160
<v Speaker 10>to yourself about, you know, money in Washington and lobbying,

0:30:38.200 --> 0:30:39.800
<v Speaker 10>and I thought, oh, the good old days, they didn't

0:30:39.840 --> 0:30:42.600
<v Speaker 10>do things like that. And it's no different.

0:30:42.920 --> 0:30:45.040
<v Speaker 3>Yeah, exactly what I want to.

0:30:45.000 --> 0:30:50.640
<v Speaker 4>Talk about Evangeline Adams. Evangeline the character that everybody wants

0:30:50.640 --> 0:30:52.560
<v Speaker 4>to talk about. Well, we should explain who she has

0:30:52.600 --> 0:30:52.920
<v Speaker 4>for people.

0:30:52.920 --> 0:30:57.400
<v Speaker 10>Ev Angeline Adams is an astrologer. She had an office

0:30:57.440 --> 0:31:00.560
<v Speaker 10>up at Carnegie Hall on fifty seventh Street, and every

0:31:00.600 --> 0:31:03.480
<v Speaker 10>banker in town would go visit with her. She had

0:31:03.520 --> 0:31:05.920
<v Speaker 10>a newsletter. I mean, I like to think deal Book

0:31:05.960 --> 0:31:09.480
<v Speaker 10>is successful. She had a newsletter with one hundred thousand prescribers.

0:31:09.600 --> 0:31:12.360
<v Speaker 10>Back then, people would go visit with her. They'd pay

0:31:12.400 --> 0:31:15.760
<v Speaker 10>fifty dollars an hour to sit with her, and they

0:31:16.040 --> 0:31:17.560
<v Speaker 10>she would ask her what's going up to the stock

0:31:17.560 --> 0:31:19.200
<v Speaker 10>market and she would tell them. They would go off

0:31:19.200 --> 0:31:21.680
<v Speaker 10>and make their trades. And it was just She's just

0:31:21.720 --> 0:31:25.240
<v Speaker 10>an unbelievable character even believe that something like that existed

0:31:25.280 --> 0:31:29.280
<v Speaker 10>and that serious people were really engaged with what she

0:31:29.480 --> 0:31:30.480
<v Speaker 10>was saying and doing.

0:31:30.560 --> 0:31:32.200
<v Speaker 4>It was almost like she was a confidant for some

0:31:32.200 --> 0:31:34.120
<v Speaker 4>of these people, which was pretty surprising to me.

0:31:34.440 --> 0:31:37.360
<v Speaker 10>I almost think of her as a psychiatrist, like a

0:31:37.840 --> 0:31:39.160
<v Speaker 10>therapist for people back then.

0:31:39.320 --> 0:31:42.840
<v Speaker 3>Yeah, yeah, I mean just the similarities, Like I think

0:31:42.840 --> 0:31:45.720
<v Speaker 3>about kind of the Wall Street South that existed right

0:31:45.760 --> 0:31:47.680
<v Speaker 3>with folks in Florida and we have that today.

0:31:48.080 --> 0:31:51.240
<v Speaker 10>Well, Tom Springs, I mean, when I learned that mar

0:31:51.280 --> 0:31:54.240
<v Speaker 10>A Lago happened to be owned by who If Hutton,

0:31:54.280 --> 0:31:56.640
<v Speaker 10>which was just such an indication of what was going

0:31:56.640 --> 0:31:59.160
<v Speaker 10>on in America at that time. And by the way,

0:31:59.200 --> 0:32:01.240
<v Speaker 10>ef Hutton had also moved in I don't know if

0:32:01.280 --> 0:32:04.320
<v Speaker 10>you saw it to the Plaza Hotel. The famous Oakroom,

0:32:04.320 --> 0:32:10.640
<v Speaker 10>which is a bar during progression, has become a brokerage house.

0:32:11.040 --> 0:32:14.720
<v Speaker 3>So do you feel like you have a better understanding

0:32:15.120 --> 0:32:17.680
<v Speaker 3>of what would cause? Like Jamie Diamond said, we may

0:32:17.680 --> 0:32:19.680
<v Speaker 3>not get another great financial crisis, but there will be

0:32:19.760 --> 0:32:22.120
<v Speaker 3>a problem. Like, do you feel like you know? I

0:32:22.120 --> 0:32:24.640
<v Speaker 3>think because everybody keeps saying could we get this again?

0:32:26.000 --> 0:32:28.120
<v Speaker 3>Is it likely? Or do you get a better indication

0:32:28.160 --> 0:32:30.560
<v Speaker 3>of like what we should be watching out for in

0:32:30.640 --> 0:32:32.320
<v Speaker 3>terms of what marks? Is it leveraging?

0:32:32.360 --> 0:32:33.840
<v Speaker 1>Is it's always leveraged.

0:32:33.840 --> 0:32:36.600
<v Speaker 10>It's just it's just it's like a one word answer.

0:32:36.640 --> 0:32:40.600
<v Speaker 10>It's probably boring. Leverage is the match that lights the

0:32:40.640 --> 0:32:43.160
<v Speaker 10>fire every single time. You could have all the bad

0:32:43.200 --> 0:32:45.760
<v Speaker 10>actors you want on stage doing all the bad, greedy

0:32:45.760 --> 0:32:49.480
<v Speaker 10>things you could possibly imagine, but there isn't the leverage piece.

0:32:51.160 --> 0:32:54.840
<v Speaker 10>It's very hard to have a true systemic problem, you know.

0:32:55.240 --> 0:32:57.240
<v Speaker 10>I was shocked to know that at the end of

0:32:57.320 --> 0:33:00.000
<v Speaker 10>nineteen twenty nine the stock market was only down steven

0:33:00.040 --> 0:33:02.120
<v Speaker 10>venteen percent, and I actually think that was a headfake

0:33:02.160 --> 0:33:04.120
<v Speaker 10>for a lot of politicians who were looking at the

0:33:04.120 --> 0:33:06.600
<v Speaker 10>market and saying oh, looks like things are better, But

0:33:06.680 --> 0:33:10.320
<v Speaker 10>most people didn't appreciate that during the fifty percent downdraft

0:33:10.320 --> 0:33:13.200
<v Speaker 10>that had happened prior to that, it wasn't just that

0:33:13.240 --> 0:33:15.960
<v Speaker 10>equities had fallen fifty percent, is that people had taken

0:33:15.960 --> 0:33:20.400
<v Speaker 10>out loans, oftentimes ten to one. So they didn't just ow, oh,

0:33:20.560 --> 0:33:23.200
<v Speaker 10>what the equity was that had fallen. They were getting

0:33:23.240 --> 0:33:26.160
<v Speaker 10>margin calls saying you've got to sell your house, and

0:33:26.640 --> 0:33:28.280
<v Speaker 10>so it's that. And I think we saw that again

0:33:28.360 --> 0:33:31.160
<v Speaker 10>in two thousand and eight with the subprime crisis, and

0:33:31.200 --> 0:33:32.640
<v Speaker 10>I mean, you can it repeats.

0:33:32.880 --> 0:33:35.280
<v Speaker 3>Well, it's funny, you know the Joe Kennedy thing about

0:33:35.320 --> 0:33:36.680
<v Speaker 3>like when is it your shoe shine guy?

0:33:36.800 --> 0:33:36.960
<v Speaker 6>Right?

0:33:37.000 --> 0:33:42.120
<v Speaker 3>And I always think about before the GFC, being on

0:33:42.120 --> 0:33:45.400
<v Speaker 3>a yoga retreat in Mexico and everyone was talking about

0:33:45.440 --> 0:33:47.720
<v Speaker 3>buying real estate, and I thought, this is, like, this

0:33:47.840 --> 0:33:51.600
<v Speaker 3>is just weird, like those little snippets of things as

0:33:51.640 --> 0:33:55.840
<v Speaker 3>an indicator that things are just exuberant irrationally. Perhaps is

0:33:55.880 --> 0:33:56.640
<v Speaker 3>that fair?

0:33:57.000 --> 0:33:57.600
<v Speaker 4>I think it's fair.

0:33:57.640 --> 0:33:58.920
<v Speaker 1>I think Look, I think all of.

0:33:58.880 --> 0:34:00.880
<v Speaker 3>These are with all the d that we have right

0:34:00.920 --> 0:34:02.360
<v Speaker 3>to look at all these are.

0:34:02.200 --> 0:34:05.800
<v Speaker 10>Red flags being thrown on the field, but just because

0:34:06.320 --> 0:34:08.880
<v Speaker 10>maybe I should say yellow flags being thrown on the field,

0:34:09.400 --> 0:34:11.799
<v Speaker 10>and the question is when do they turn red? And

0:34:11.840 --> 0:34:14.520
<v Speaker 10>I think that's the hard part to know you Famously,

0:34:14.800 --> 0:34:16.800
<v Speaker 10>here we are started the segment coming out of Jamie

0:34:16.840 --> 0:34:20.120
<v Speaker 10>Diamond's interview in two thousand and eight. His daughter had

0:34:20.120 --> 0:34:22.479
<v Speaker 10>come to him, as this is all happening and said, Dad,

0:34:22.520 --> 0:34:25.360
<v Speaker 10>what's a financial crisis? And he said it's something that

0:34:25.400 --> 0:34:27.960
<v Speaker 10>happens every seven or eight years. And so I think

0:34:28.000 --> 0:34:31.200
<v Speaker 10>the truth is, well, check your calendar.

0:34:31.520 --> 0:34:32.400
<v Speaker 1>We might be due.

0:34:32.640 --> 0:34:34.720
<v Speaker 4>We're speaking with Andrew Ross sork And, author of nineteen

0:34:34.760 --> 0:34:37.560
<v Speaker 4>twenty nine Inside The Greatest Crash in Wall Street History

0:34:37.680 --> 0:34:41.640
<v Speaker 4>and how it shattered a nation? Does Herbert Hoover get

0:34:41.680 --> 0:34:42.320
<v Speaker 4>a bad rap?

0:34:43.600 --> 0:34:43.759
<v Speaker 1>So?

0:34:43.920 --> 0:34:48.640
<v Speaker 10>I have maybe more empathy for Herbert Hoover than others.

0:34:48.680 --> 0:34:51.440
<v Speaker 10>It's not that I think he made the right decisions.

0:34:51.440 --> 0:34:53.800
<v Speaker 10>In fact, he made a series of very poor decisions.

0:34:53.800 --> 0:34:59.400
<v Speaker 10>It's just that I think, at least historically, the narrative

0:34:59.440 --> 0:35:01.799
<v Speaker 10>that's been disc i him is that he didn't even

0:35:01.880 --> 0:35:06.600
<v Speaker 10>understand what was happening. I think he understood very well.

0:35:06.440 --> 0:35:07.080
<v Speaker 1>What was happening.

0:35:07.120 --> 0:35:09.160
<v Speaker 10>I think he had some of the wrong people in

0:35:09.200 --> 0:35:12.040
<v Speaker 10>his ear, including Andrew Mellon, who was his treasure secretary,

0:35:12.080 --> 0:35:16.080
<v Speaker 10>who had a terrible, unfortunately relationship with early on. I

0:35:16.120 --> 0:35:20.120
<v Speaker 10>think his decision on tariffs was completely misplaced. Why did

0:35:20.160 --> 0:35:21.680
<v Speaker 10>he do that. He did that, by the way, for

0:35:21.760 --> 0:35:24.080
<v Speaker 10>political reasons, because in nineteen twenty eight is he's running

0:35:24.080 --> 0:35:26.439
<v Speaker 10>around the country desperate to get farmers to vote for him.

0:35:26.680 --> 0:35:29.359
<v Speaker 10>He's pledging to them vote for me, I'll help you.

0:35:29.719 --> 0:35:32.000
<v Speaker 3>Wait, wait, wait, are you talking about two thousand and

0:35:32.760 --> 0:35:34.120
<v Speaker 3>twenty years and so?

0:35:34.200 --> 0:35:35.680
<v Speaker 10>But when he hits you know, and by the way,

0:35:35.840 --> 0:35:38.680
<v Speaker 10>nineteen thirty rolls around every economist in America, all the

0:35:38.719 --> 0:35:41.560
<v Speaker 10>bankers are saying, please, don't do this, mister president, and

0:35:41.600 --> 0:35:43.880
<v Speaker 10>he says, well, I have to do it because I

0:35:43.920 --> 0:35:46.120
<v Speaker 10>pledge these folks that I would. So you see these

0:35:46.120 --> 0:35:48.480
<v Speaker 10>sort of repeat things. And it's not that he didn't

0:35:48.480 --> 0:35:50.440
<v Speaker 10>know what he was doing. I think he just didn't understand.

0:35:50.480 --> 0:35:54.480
<v Speaker 10>He was also, unfortunately for him, a terrible, terrible communicator.

0:35:55.040 --> 0:35:57.759
<v Speaker 10>And I will say maybe this is true of all presidents.

0:35:58.320 --> 0:36:01.800
<v Speaker 10>He had this view that he could jawbone people into

0:36:01.840 --> 0:36:04.440
<v Speaker 10>believing that things were better than they really were. And

0:36:04.480 --> 0:36:06.040
<v Speaker 10>I think we're seeing that now, by the way, with

0:36:06.040 --> 0:36:11.040
<v Speaker 10>the last illustration that is a bipartisan tactic by the

0:36:11.040 --> 0:36:11.600
<v Speaker 10>White House.

0:36:12.080 --> 0:36:15.759
<v Speaker 3>What's your biggest takeaway from doing this? My understanding is

0:36:15.760 --> 0:36:18.719
<v Speaker 3>you wanted to do this because people used to ask you,

0:36:18.719 --> 0:36:20.799
<v Speaker 3>you know, nineteen twenty nine versus two thousand and eight.

0:36:21.040 --> 0:36:21.440
<v Speaker 5>Tell me.

0:36:22.920 --> 0:36:23.759
<v Speaker 3>I wanted doing this.

0:36:25.400 --> 0:36:28.400
<v Speaker 10>I mean selfishly, I felt like I now understood what

0:36:28.560 --> 0:36:32.720
<v Speaker 10>actually happened, just as a student of history. I actually

0:36:32.760 --> 0:36:34.600
<v Speaker 10>just genuinely wanted to really get it. I want to

0:36:34.600 --> 0:36:36.880
<v Speaker 10>know who the people were. Wouldn't understand their incentives or

0:36:36.920 --> 0:36:39.520
<v Speaker 10>their motives were, why they were doing what they did.

0:36:39.640 --> 0:36:42.640
<v Speaker 10>And I think ultimately the truth is that we are

0:36:42.680 --> 0:36:47.600
<v Speaker 10>all human beings. Maybe it's fomo, maybe it's envy. Maybe

0:36:47.680 --> 0:36:51.200
<v Speaker 10>we all want more, and that's for better or worse.

0:36:51.239 --> 0:36:53.400
<v Speaker 10>What seems to drive people? And then the question is

0:36:53.840 --> 0:36:57.080
<v Speaker 10>when people get a little too confident, you know, can

0:36:57.120 --> 0:37:00.000
<v Speaker 10>you have the humility effectively to step back and realize

0:37:00.080 --> 0:37:02.880
<v Speaker 10>eyes that maybe that confidence could be misplaced?

0:37:03.239 --> 0:37:06.239
<v Speaker 4>You right, that the anadote to irrational exuberance is not

0:37:06.320 --> 0:37:10.000
<v Speaker 4>regulation by itself, nor skepticism, but humility, the humility to

0:37:10.160 --> 0:37:12.880
<v Speaker 4>know that no system is full proof, no market fully rational,

0:37:12.920 --> 0:37:16.440
<v Speaker 4>and no generation exempt. Do you see that humility out

0:37:16.440 --> 0:37:17.000
<v Speaker 4>there today.

0:37:17.680 --> 0:37:19.399
<v Speaker 1>I said it better than the book said.

0:37:21.160 --> 0:37:23.000
<v Speaker 10>We have the full screen for it. I see there's

0:37:23.080 --> 0:37:27.040
<v Speaker 10>humility today. I see that humility among some Look. I think,

0:37:27.120 --> 0:37:30.000
<v Speaker 10>you know, we're also talked about Warren Buffett. Jamie Diamond

0:37:30.040 --> 0:37:32.000
<v Speaker 10>and David Rum said, we're talking about Warren Buffett.

0:37:32.320 --> 0:37:32.640
<v Speaker 1>I think.

0:37:32.760 --> 0:37:36.279
<v Speaker 10>I think Warren Buffett has a remarkable humility, and when

0:37:36.320 --> 0:37:38.440
<v Speaker 10>it comes to sort of even his own confidence, he

0:37:38.480 --> 0:37:40.359
<v Speaker 10>has humility about then. I think there are a number

0:37:40.400 --> 0:37:43.440
<v Speaker 10>of business leaders and investors who absolutely do. And then

0:37:43.480 --> 0:37:46.680
<v Speaker 10>there's a number of business leaders and operators and investors

0:37:46.719 --> 0:37:50.239
<v Speaker 10>who clearly don't. And I think anybody who walks in

0:37:50.280 --> 0:37:51.920
<v Speaker 10>the door and sits down at this table and can

0:37:51.960 --> 0:37:54.040
<v Speaker 10>tell you exactly what or it thinks they can tell

0:37:54.040 --> 0:37:55.560
<v Speaker 10>you exactly what's going to happen.

0:37:55.640 --> 0:37:56.160
<v Speaker 1>Probably do.

0:37:56.640 --> 0:37:57.520
<v Speaker 3>I think they believe it that.

0:37:58.080 --> 0:37:59.680
<v Speaker 1>Thank you so much, Thank you so much for having me.

0:38:00.960 --> 0:38:03.200
<v Speaker 3>Yeah, we really appreciate Andrew Ross Sorkin. The book is

0:38:03.280 --> 0:38:05.640
<v Speaker 3>nineteen twenty nine, Inside the greatest Crash in Wall Street

0:38:05.680 --> 0:38:08.319
<v Speaker 3>History and how it shattered a nation. I've learned a lot.

0:38:08.440 --> 0:38:10.480
<v Speaker 4>Yeah, Andrew, thanks so much for Johnny, Thank you appreciate it.

0:38:14.160 --> 0:38:18.160
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily podcast. Catch us

0:38:18.239 --> 0:38:21.680
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:38:21.719 --> 0:38:25.200
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:38:25.440 --> 0:38:27.240
<v Speaker 2>or watch us live on YouTube.

0:38:28.280 --> 0:38:30.160
<v Speaker 3>Plenty ahead in our second hour of the weekend edition

0:38:30.200 --> 0:38:34.440
<v Speaker 3>of Bloomberg Business Week, including skiing outdoors and indoors with

0:38:34.520 --> 0:38:36.640
<v Speaker 3>the CEO of Snow Partners. You've done both, have you?

0:38:36.800 --> 0:38:37.000
<v Speaker 7>I have?

0:38:37.120 --> 0:38:40.280
<v Speaker 4>Yeah. I've been to Big Snow at the American Dream

0:38:40.480 --> 0:38:41.360
<v Speaker 4>Mall once.

0:38:41.840 --> 0:38:43.120
<v Speaker 3>Did you actually ski down the slope?

0:38:43.120 --> 0:38:44.920
<v Speaker 4>I did? Yeah, But it's a great place to bring kids.

0:38:45.000 --> 0:38:45.360
<v Speaker 5>Yeah.

0:38:45.480 --> 0:38:48.920
<v Speaker 4>Not super steep and very short, of course, but guess what, it's.

0:38:48.800 --> 0:38:50.120
<v Speaker 1>Open in the summer, and it was fun.

0:38:50.160 --> 0:38:53.120
<v Speaker 4>It was fun. It's never not fun. Plus from Japanese

0:38:53.160 --> 0:38:56.759
<v Speaker 4>Prime Beef Star chefs working the Counter and large format Martiniz,

0:38:56.760 --> 0:38:59.520
<v Speaker 4>We've got the most exciting US restaurants to check out

0:38:59.520 --> 0:38:59.960
<v Speaker 4>this year.

0:39:00.120 --> 0:39:03.439
<v Speaker 3>Also, while some top chefs are turning your leftovers into

0:39:03.520 --> 0:39:07.520
<v Speaker 3>tasting menu gold, first up this hour prediction markets. They

0:39:07.520 --> 0:39:10.880
<v Speaker 3>are being fueled by platforms such as Kelshi and Polymarket,

0:39:11.120 --> 0:39:14.279
<v Speaker 3>where users make predictions tied to real world outcomes, but

0:39:14.320 --> 0:39:16.200
<v Speaker 3>you can kind of bet on just about everything.

0:39:16.360 --> 0:39:19.560
<v Speaker 4>The idea is simple, Prices move based on collective relief,

0:39:19.760 --> 0:39:23.120
<v Speaker 4>turning crowd sentiment in a real time forecast, and sometimes

0:39:23.120 --> 0:39:24.200
<v Speaker 4>big money on the line.

0:39:24.239 --> 0:39:27.440
<v Speaker 3>A recent Bloomberg Big Take highlighted how prediction platforms are

0:39:27.440 --> 0:39:31.120
<v Speaker 3>pitching themselves as tools for insight, but I catching bets

0:39:31.160 --> 0:39:34.560
<v Speaker 3>on real world events are raising questions about access, integrity,

0:39:34.880 --> 0:39:35.640
<v Speaker 3>and regulation.

0:39:35.920 --> 0:39:38.720
<v Speaker 4>Bloomberg spoke with economists, US politicians, and heads of trading

0:39:38.719 --> 0:39:40.879
<v Speaker 4>firms and hedge funds to understand really what's at stake

0:39:40.880 --> 0:39:44.080
<v Speaker 4>in the prediction market's boom. Tanisa Sikova and Lydia Bayoud

0:39:44.120 --> 0:39:46.360
<v Speaker 4>are part of the team behind the story. Danitza is

0:39:46.400 --> 0:39:49.560
<v Speaker 4>Bloomberg News Cross Asset reporter. Lydia is Bloomberg News Financial

0:39:49.640 --> 0:39:52.640
<v Speaker 4>Regulations reporter. Denisa Here in our Bloomberg Interactive Broker studio,

0:39:53.280 --> 0:39:57.680
<v Speaker 4>Lydia joins us from Bloomberg's Washington DC bureau. H Lydia,

0:39:57.719 --> 0:39:59.880
<v Speaker 4>I want to start with you in Washington because you

0:40:00.080 --> 0:40:04.120
<v Speaker 4>cover financial regulations prediction markets. Is it fair to call

0:40:04.160 --> 0:40:04.800
<v Speaker 4>it gambling?

0:40:09.480 --> 0:40:13.040
<v Speaker 11>I think these days people increasingly are seeing a blurredline

0:40:13.280 --> 0:40:17.600
<v Speaker 11>there to your point about marketing speak, the companies are

0:40:17.719 --> 0:40:21.840
<v Speaker 11>very keen to describe themselves one way. But certainly within Washington,

0:40:21.840 --> 0:40:23.200
<v Speaker 11>I don't think a lot of people are seeing much

0:40:23.239 --> 0:40:26.120
<v Speaker 11>of a difference. And for sure in the sports gaming world,

0:40:26.680 --> 0:40:28.279
<v Speaker 11>they see them as direct competitors.

0:40:28.719 --> 0:40:32.760
<v Speaker 3>Yeah, it's interesting gaming gambling. What exactly is this denis

0:40:32.800 --> 0:40:34.480
<v Speaker 3>to come on in for those who maybe have been

0:40:34.840 --> 0:40:36.799
<v Speaker 3>living under a rock, which is kind of fine. I

0:40:36.880 --> 0:40:38.800
<v Speaker 3>like to kind of hibernate every once in a while.

0:40:38.960 --> 0:40:42.319
<v Speaker 3>Remind us what these prediction markets are all about. Who

0:40:42.320 --> 0:40:43.160
<v Speaker 3>are the big players?

0:40:43.280 --> 0:40:45.960
<v Speaker 12>Yeah, twenty twenty five was a year of prediction markets.

0:40:46.080 --> 0:40:48.440
<v Speaker 12>We had two big firms kind of dominate the space

0:40:48.480 --> 0:40:51.480
<v Speaker 12>of cos Kaushi and Polley Market. Their valuation went through

0:40:51.480 --> 0:40:53.759
<v Speaker 12>the roof. They started from like one to two billions

0:40:53.840 --> 0:40:56.680
<v Speaker 12>and both end of the year in the double digits

0:40:56.680 --> 0:40:57.560
<v Speaker 12>off billions, So.

0:40:57.800 --> 0:40:59.280
<v Speaker 8>Really really rapid growth.

0:40:59.520 --> 0:41:03.080
<v Speaker 12>And we're not only those tech city convoling names. We're

0:41:03.120 --> 0:41:06.640
<v Speaker 12>seeing a lot of traditional finance names. We're seeing CEMI,

0:41:06.760 --> 0:41:09.720
<v Speaker 12>We're seeing a lot of those traditional finance players getting

0:41:09.719 --> 0:41:13.279
<v Speaker 12>involved in the space. So clearly this is interest more

0:41:13.440 --> 0:41:15.200
<v Speaker 12>beyond city convuli.

0:41:15.320 --> 0:41:16.759
<v Speaker 8>The volumes are crazy, So.

0:41:17.440 --> 0:41:19.600
<v Speaker 3>But tell us how it works, Like can tim or

0:41:19.640 --> 0:41:21.400
<v Speaker 3>I can we go out and place the bet like

0:41:21.680 --> 0:41:24.280
<v Speaker 3>how who determines who can do what on the platform?

0:41:24.440 --> 0:41:27.320
<v Speaker 8>Super simple, super easy. So obviously sports betting you have

0:41:27.400 --> 0:41:28.560
<v Speaker 8>to be twenty one for this.

0:41:28.800 --> 0:41:32.080
<v Speaker 12>Eighteen is enough. It's very accessible. You go the bet

0:41:32.239 --> 0:41:34.759
<v Speaker 12>is like as cheap as like a few cents or

0:41:34.800 --> 0:41:37.520
<v Speaker 12>a door and you just go and create it.

0:41:38.000 --> 0:41:38.720
<v Speaker 8>Just very shrimple.

0:41:38.800 --> 0:41:39.359
<v Speaker 1>Yeah you can.

0:41:39.360 --> 0:41:40.040
<v Speaker 3>Create the beat.

0:41:40.400 --> 0:41:42.480
<v Speaker 8>No, you cannot create the bat. You can place that,

0:41:42.600 --> 0:41:43.160
<v Speaker 8>you can ask it.

0:41:43.280 --> 0:41:45.160
<v Speaker 12>Oh yeah, there is a way to claim a market,

0:41:45.160 --> 0:41:47.560
<v Speaker 12>but of course it's up to the platform to create.

0:41:47.840 --> 0:41:51.120
<v Speaker 12>But as we have seen in recent months, there is

0:41:51.120 --> 0:41:53.840
<v Speaker 12>a lot of variety of bets on things that you know,

0:41:53.920 --> 0:41:57.360
<v Speaker 12>anywhere else you cannot bet from the bet on Nicolas

0:41:57.400 --> 0:42:01.879
<v Speaker 12>Maduro being outed to any time of pop culture thing and.

0:42:01.880 --> 0:42:04.640
<v Speaker 4>Any top artists on Spotify this year is on culture.

0:42:04.760 --> 0:42:07.560
<v Speaker 12>Now of course that's very popular any type of mentioned market.

0:42:07.600 --> 0:42:10.760
<v Speaker 12>People are watching like politicians stole on TV and betting

0:42:10.800 --> 0:42:13.279
<v Speaker 12>on every word they say, every twist like people are

0:42:13.320 --> 0:42:15.239
<v Speaker 12>even making fun of this. We famously had the coin

0:42:15.280 --> 0:42:18.399
<v Speaker 12>based CEO knowing that people are watching what he says

0:42:18.400 --> 0:42:21.440
<v Speaker 12>on the earning code, so he was he was crashing

0:42:21.440 --> 0:42:21.880
<v Speaker 12>the market.

0:42:22.040 --> 0:42:24.480
<v Speaker 4>So that's where I want to bring in Lydia, because

0:42:24.560 --> 0:42:27.560
<v Speaker 4>when you're in a world Lydia Bayud, where there is

0:42:27.640 --> 0:42:30.760
<v Speaker 4>one person in control, like a CEO of a company

0:42:30.800 --> 0:42:32.800
<v Speaker 4>like Elon Musk, if the number of tweets that he

0:42:32.880 --> 0:42:35.319
<v Speaker 4>sends between a certain period of time, that's a bet

0:42:35.320 --> 0:42:38.480
<v Speaker 4>on poly market right now, or prediction on poly market

0:42:38.480 --> 0:42:41.799
<v Speaker 4>that one can make. What is the slippery slope that

0:42:41.880 --> 0:42:44.279
<v Speaker 4>opens when one person is in control of the outcome here.

0:42:46.760 --> 0:42:49.279
<v Speaker 11>So that's something that I think regulators and policymakers are

0:42:49.320 --> 0:42:53.200
<v Speaker 11>really grappling with. Particularly, I think the Maduro example that

0:42:53.239 --> 0:42:56.640
<v Speaker 11>we highlight on the story has really made that so

0:42:56.800 --> 0:43:04.000
<v Speaker 11>salient for everyone right now. Generally, federal rules prohibit UH

0:43:04.200 --> 0:43:08.000
<v Speaker 11>federal employees from trading on non public information for their

0:43:08.320 --> 0:43:11.720
<v Speaker 11>own financial game. I think Representative Richie Torres is planning

0:43:11.719 --> 0:43:14.799
<v Speaker 11>to introduce legislation if he hasn't already this week, that

0:43:14.880 --> 0:43:19.000
<v Speaker 11>would like very clearly prohibit that type of trading UH

0:43:19.040 --> 0:43:22.440
<v Speaker 11>on prediction markets. But really we're kind of facing like

0:43:22.480 --> 0:43:25.319
<v Speaker 11>a different regime compared to how I think a lot

0:43:25.360 --> 0:43:28.480
<v Speaker 11>of people think about insider trading that is regulated in

0:43:28.560 --> 0:43:31.800
<v Speaker 11>equities markets or markets overseen by the securities in exchange composition,

0:43:31.960 --> 0:43:34.960
<v Speaker 11>cause you know, if you're in the derivative space and

0:43:35.040 --> 0:43:38.480
<v Speaker 11>you are an energy producer, an agriculture producer, you're expected

0:43:38.520 --> 0:43:41.040
<v Speaker 11>to trade on knowing you know, my crop's really great

0:43:41.080 --> 0:43:44.319
<v Speaker 11>this year, or we're pumping so much uh oil and

0:43:44.360 --> 0:43:46.839
<v Speaker 11>gas out of out of the ground. You know, I'm

0:43:46.880 --> 0:43:50.680
<v Speaker 11>I'm able to hedge my position and sort of let

0:43:50.760 --> 0:43:53.719
<v Speaker 11>my knowledge that I have inform both me and then

0:43:54.000 --> 0:43:56.360
<v Speaker 11>the market. You know, there's kind of a market utility

0:43:56.480 --> 0:43:58.960
<v Speaker 11>argument that is made in those traditional markets, and we're

0:43:59.000 --> 0:44:02.799
<v Speaker 11>seeing that again sort of these blurred lines shift into

0:44:02.840 --> 0:44:05.279
<v Speaker 11>prediction markets, and people sort of grappling like okay, well,

0:44:05.320 --> 0:44:09.239
<v Speaker 11>what's okay insider information? Like what benefits everyone to have

0:44:09.280 --> 0:44:11.759
<v Speaker 11>insiders trading and kind of you know, as they like

0:44:11.800 --> 0:44:14.480
<v Speaker 11>to say, drawing on the wisdom of the crowd and

0:44:15.400 --> 0:44:17.480
<v Speaker 11>doing price improvement, but.

0:44:17.680 --> 0:44:19.360
<v Speaker 3>So not exactly your machines.

0:44:19.480 --> 0:44:23.120
<v Speaker 11>Right, Well, that is the big debate about how are

0:44:23.120 --> 0:44:26.799
<v Speaker 11>you gonna draw that line about you know, if you

0:44:26.960 --> 0:44:29.840
<v Speaker 11>are Elon Musk in your there are mention markets, and

0:44:29.880 --> 0:44:31.400
<v Speaker 11>what you might say to your you know, not to

0:44:31.440 --> 0:44:34.080
<v Speaker 11>pick on Elon anyone, any executive, right and you're gonna

0:44:34.320 --> 0:44:36.680
<v Speaker 11>you know, there are mention markets and what you might

0:44:36.719 --> 0:44:39.680
<v Speaker 11>say in your quarterly call. Do you swing a market

0:44:39.760 --> 0:44:42.759
<v Speaker 11>just for funzies? Do you swing it knowing that you

0:44:42.760 --> 0:44:45.440
<v Speaker 11>know your buddy's buddy's buddy might have some money writing

0:44:45.440 --> 0:44:48.400
<v Speaker 11>on the line, And then how does anyone catch that?

0:44:48.520 --> 0:44:49.560
<v Speaker 8>Should they be catching it?

0:44:49.560 --> 0:44:53.040
<v Speaker 11>There's so many open policy questions that are being asked,

0:44:53.080 --> 0:44:55.640
<v Speaker 11>I think around Washington right now because of these markets.

0:44:55.760 --> 0:44:58.839
<v Speaker 4>Yeah, there's an interesting you know, I'm just going through

0:44:58.840 --> 0:45:00.880
<v Speaker 4>call sit you could spend I know both of you

0:45:00.920 --> 0:45:02.719
<v Speaker 4>did this, Like you get some hours going through this,

0:45:02.800 --> 0:45:05.040
<v Speaker 4>but like, does it really serve the market to need

0:45:05.120 --> 0:45:08.400
<v Speaker 4>to ask if will Taylor Swift and Travis Kelcey be

0:45:08.440 --> 0:45:09.400
<v Speaker 4>married before January?

0:45:09.480 --> 0:45:09.680
<v Speaker 5>First?

0:45:09.800 --> 0:45:10.920
<v Speaker 4>That's important stuff.

0:45:11.200 --> 0:45:13.280
<v Speaker 12>It is important stuff. We had a lot of Bloomberg

0:45:13.280 --> 0:45:14.400
<v Speaker 12>headlines on this as well.

0:45:14.480 --> 0:45:16.480
<v Speaker 8>But indeed did we We did?

0:45:16.520 --> 0:45:16.719
<v Speaker 5>We did?

0:45:17.920 --> 0:45:19.279
<v Speaker 8>But it is important.

0:45:19.960 --> 0:45:23.040
<v Speaker 12>So what a lot of those prediction micro believers says,

0:45:23.200 --> 0:45:25.360
<v Speaker 12>We're going to bring a lot of people through sports.

0:45:25.480 --> 0:45:28.280
<v Speaker 12>So for example, Kuchi has ninety percent of their volumes

0:45:28.360 --> 0:45:31.000
<v Speaker 12>very often coming from sports. So it's pretty hard to

0:45:31.000 --> 0:45:33.399
<v Speaker 12>make the argument that this is a truth machine at

0:45:33.400 --> 0:45:36.239
<v Speaker 12>the moment. But what some people hope and believe is

0:45:36.239 --> 0:45:38.520
<v Speaker 12>that eventually some of those casino elements and of those

0:45:38.560 --> 0:45:41.080
<v Speaker 12>betting elements, we will bring people who want to bet on

0:45:41.239 --> 0:45:46.080
<v Speaker 12>things like economic data, things like maybe people want to hedge,

0:45:46.120 --> 0:45:48.279
<v Speaker 12>Like the hedging scenario is something that has come up

0:45:48.280 --> 0:45:50.879
<v Speaker 12>a lot talking to people. It seems like it's not

0:45:50.920 --> 0:45:53.200
<v Speaker 12>coming anytime soon, but people are saying, Oh, maybe I want.

0:45:53.040 --> 0:45:55.040
<v Speaker 8>To hedge the weather in Florida. Maybe I have a

0:45:55.080 --> 0:45:56.480
<v Speaker 8>house and I can't buy insurance.

0:45:56.600 --> 0:45:57.960
<v Speaker 3>Well, I don't understand that.

0:45:58.120 --> 0:46:00.080
<v Speaker 4>I keep going on topic and I'm trying to take

0:46:00.080 --> 0:46:02.680
<v Speaker 4>them off topic, Like here's another one. For example, what

0:46:02.719 --> 0:46:06.080
<v Speaker 4>will Rachel Maddow say during Jimmy Kimmel Live, Right, Okay,

0:46:07.560 --> 0:46:12.960
<v Speaker 4>Epstein corrupt slash corruption, Ice, Russia, Ukraine, affordable affordability healthcare?

0:46:13.520 --> 0:46:15.800
<v Speaker 3>All right, but there's serious stuff like the FED decision

0:46:15.800 --> 0:46:16.440
<v Speaker 3>in January.

0:46:18.760 --> 0:46:19.680
<v Speaker 4>Helpful what we do?

0:46:19.800 --> 0:46:22.520
<v Speaker 3>And we talked about this doing elections in different things.

0:46:22.560 --> 0:46:25.440
<v Speaker 8>For sure. Elections have proven to be one pretty good time.

0:46:25.480 --> 0:46:28.399
<v Speaker 3>Help me understand though, and well you know, Lydia come

0:46:28.400 --> 0:46:30.160
<v Speaker 3>on back in here. One of the things I'm curious

0:46:30.160 --> 0:46:34.520
<v Speaker 3>about is like who is checking who is making these trades?

0:46:34.880 --> 0:46:40.640
<v Speaker 3>Is KLSHI or is polymarket? Are they actually checking, especially

0:46:40.680 --> 0:46:43.920
<v Speaker 3>when it could be potentially insider trading. Do they know

0:46:43.960 --> 0:46:47.480
<v Speaker 3>exactly who's making these trades? Are they doing due diligence?

0:46:48.400 --> 0:46:51.640
<v Speaker 11>So these exchanges are structured as self regulatory organizations, so

0:46:51.640 --> 0:46:54.799
<v Speaker 11>they're supposed to kind of self monitor, monitor trades and

0:46:54.840 --> 0:46:58.600
<v Speaker 11>root out any potential for market manipulation. Again, the sort

0:46:58.600 --> 0:47:00.600
<v Speaker 11>of where you draw the line between what's okay what's

0:47:00.640 --> 0:47:04.799
<v Speaker 11>not okay on insider trading, that's a judgment call, I think,

0:47:05.560 --> 0:47:08.319
<v Speaker 11>except in all but the most clear cut instances. But

0:47:09.960 --> 0:47:12.880
<v Speaker 11>you know, exchanges can self report information.

0:47:12.480 --> 0:47:13.279
<v Speaker 8>To the CFTC.

0:47:13.320 --> 0:47:16.680
<v Speaker 11>The CFTC can look into it. Again, it operates differently

0:47:16.760 --> 0:47:19.080
<v Speaker 11>than the Securities Exchange Commission.

0:47:19.280 --> 0:47:22.319
<v Speaker 3>But what's the bandwidth for regulators to want to take

0:47:22.320 --> 0:47:22.680
<v Speaker 3>this on.

0:47:23.960 --> 0:47:28.200
<v Speaker 11>The CFTC is chronically underfunded. They have I think roughly

0:47:28.280 --> 0:47:29.880
<v Speaker 11>five hundred staff.

0:47:30.040 --> 0:47:32.720
<v Speaker 2>The sec has for four or five.

0:47:32.560 --> 0:47:35.759
<v Speaker 11>Times maybe ten times that number are not quite but

0:47:36.400 --> 0:47:39.960
<v Speaker 11>they they they are understaffed for the task at hand,

0:47:40.000 --> 0:47:42.000
<v Speaker 11>and there are more applicants. I mean, I think we

0:47:42.080 --> 0:47:44.839
<v Speaker 11>mentioned in the story that there are there's a lot

0:47:44.880 --> 0:47:49.239
<v Speaker 11>of interest driven heavily by sports trading, but also in

0:47:49.280 --> 0:47:53.239
<v Speaker 11>the economics, also in other spaces. And so they're kind

0:47:53.239 --> 0:47:56.680
<v Speaker 11>of underwater in terms of all that there is to

0:47:56.719 --> 0:48:01.759
<v Speaker 11>do for market demand for this space. So I think

0:48:01.760 --> 0:48:05.080
<v Speaker 11>a lot of people are wondering what the CFTC will do.

0:48:05.280 --> 0:48:07.800
<v Speaker 11>But if we look at the new chairman, Michael Sellig,

0:48:07.920 --> 0:48:11.640
<v Speaker 11>when he was an attorney in private practice, he wrote

0:48:11.960 --> 0:48:15.120
<v Speaker 11>a comment letter that was pushing back during the Biden

0:48:15.120 --> 0:48:18.360
<v Speaker 11>administration on any effort to reign in sports prediction markets,

0:48:18.360 --> 0:48:21.440
<v Speaker 11>for example, or really most prediction markets. So I think

0:48:21.480 --> 0:48:24.839
<v Speaker 11>you've got someone who's very you know, he said he's

0:48:24.840 --> 0:48:26.640
<v Speaker 11>going to defer to the courts on how the courts

0:48:26.719 --> 0:48:28.799
<v Speaker 11>might eventually rule on this topic. But at least when

0:48:28.800 --> 0:48:32.319
<v Speaker 11>he was an attorney representing clients, he was very much

0:48:32.360 --> 0:48:33.000
<v Speaker 11>in favor of.

0:48:32.960 --> 0:48:35.319
<v Speaker 4>Them before we let you guys go, Taniza. If we

0:48:35.360 --> 0:48:38.359
<v Speaker 4>think about the universe of prediction markets, Robin Hood's getting

0:48:38.360 --> 0:48:40.640
<v Speaker 4>into it, Calsh and Polymarket are the big ones, and

0:48:40.680 --> 0:48:43.719
<v Speaker 4>they count I think a Trump as advisors to both

0:48:43.760 --> 0:48:48.880
<v Speaker 4>of those. Are these all regulated the same way or

0:48:48.960 --> 0:48:50.600
<v Speaker 4>is one regulated differently than the others.

0:48:51.239 --> 0:48:54.080
<v Speaker 12>So also obviously they have the Trump as advisor, and

0:48:54.200 --> 0:48:57.680
<v Speaker 12>Trump Media is looking into launching a Prediction American and

0:48:57.760 --> 0:49:00.160
<v Speaker 12>a lot of the sports baking companies are looking to

0:49:00.280 --> 0:49:04.000
<v Speaker 12>also get into prediction market the way so Cawhi so

0:49:04.120 --> 0:49:07.840
<v Speaker 12>far is obviously under the CFTC. Polly Market is just

0:49:08.280 --> 0:49:11.000
<v Speaker 12>entering the US. They have this beta test so they're

0:49:11.040 --> 0:49:15.520
<v Speaker 12>only onboarding some users. So currently most of the beds

0:49:15.520 --> 0:49:18.920
<v Speaker 12>on poly Market are actually in this weird regulatory space

0:49:18.960 --> 0:49:21.000
<v Speaker 12>where a lot of them are coming from abroad and

0:49:21.120 --> 0:49:24.360
<v Speaker 12>isn't necessarily regulated under the CFTC.

0:49:24.480 --> 0:49:25.920
<v Speaker 8>We've seen very different decisions.

0:49:25.960 --> 0:49:29.280
<v Speaker 12>For example, there was a market connected with the United

0:49:29.320 --> 0:49:33.400
<v Speaker 12>Care CEO killing, and CFTC asked how shei to remove

0:49:33.440 --> 0:49:36.480
<v Speaker 12>that market, but poly Market, who is not under that jurisdiction,

0:49:36.600 --> 0:49:39.399
<v Speaker 12>actually kept the market. So you can see there are

0:49:39.520 --> 0:49:42.440
<v Speaker 12>very different outcomes depending on the regulation.

0:49:42.600 --> 0:49:45.040
<v Speaker 3>Well, a human land on Mars before California starts a

0:49:45.080 --> 0:49:48.960
<v Speaker 3>high speed rail nineteen percent chance costs twenty cents for

0:49:49.040 --> 0:49:50.640
<v Speaker 3>yest eighty five cents for now.

0:49:50.680 --> 0:49:52.440
<v Speaker 4>Well, what counts as the high speed rail.

0:49:54.200 --> 0:49:55.480
<v Speaker 5>Is like I'm just reading.

0:49:57.400 --> 0:50:01.560
<v Speaker 2>This is the Bloomberg Business Weekdaily Pod. Listen live each

0:50:01.560 --> 0:50:04.560
<v Speaker 2>weekday starting at two pm Eastern on Apple car Play

0:50:04.640 --> 0:50:07.480
<v Speaker 2>and Android Auto with the Bloomberg Business app. You can

0:50:07.520 --> 0:50:10.680
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:50:10.760 --> 0:50:14.160
<v Speaker 2>York station. Just say Alexa played Bloomberg eleven thirty.

0:50:15.800 --> 0:50:18.839
<v Speaker 3>Yes, ski season is underway this winter. Snow story, though,

0:50:18.920 --> 0:50:21.040
<v Speaker 3>has been all over the map, and as you keep

0:50:21.080 --> 0:50:22.440
<v Speaker 3>reminding me, Tim not so great.

0:50:22.560 --> 0:50:24.880
<v Speaker 4>Yeah, the Rockies they've been off to a slow, dry start,

0:50:24.920 --> 0:50:28.799
<v Speaker 4>snowpacks near historic lows before recent storms helped open a

0:50:28.840 --> 0:50:32.480
<v Speaker 4>little more terrain. The Northeast has seen more mixed conditions.

0:50:32.480 --> 0:50:35.360
<v Speaker 4>Parts of Canada and Vermona reporting solid powder days. But

0:50:35.800 --> 0:50:38.400
<v Speaker 4>for those folks who went out west over the holidays,

0:50:38.440 --> 0:50:39.719
<v Speaker 4>they were so disappointed.

0:50:39.880 --> 0:50:41.959
<v Speaker 3>That's a bummer. That's a big bummer. But I feel

0:50:41.960 --> 0:50:44.520
<v Speaker 3>like we've been repeatedly or often more often the last

0:50:44.520 --> 0:50:46.960
<v Speaker 3>few years hearing that story. All Right, That's where Snow

0:50:47.000 --> 0:50:50.920
<v Speaker 3>Partners comes in. With an indoor ski resort. The company

0:50:50.960 --> 0:50:53.160
<v Speaker 3>is keeping the slopes open year round, no matter what

0:50:53.200 --> 0:50:56.399
<v Speaker 3>the weather does outside. Joe Heshan is founder and CEO

0:50:56.440 --> 0:50:59.000
<v Speaker 3>of Snow Partners. He joined us from the company's indoor

0:50:59.040 --> 0:51:02.520
<v Speaker 3>ski slope, the Big Snow American Dream in New Jersey.

0:51:02.960 --> 0:51:05.920
<v Speaker 13>Yeah, we're having an amazing start to the season. The

0:51:06.280 --> 0:51:08.640
<v Speaker 13>whole Northeast really is really having one of the best

0:51:08.680 --> 0:51:11.840
<v Speaker 13>seasons in a few years. We have Ale Nina type

0:51:11.880 --> 0:51:15.440
<v Speaker 13>of weather pattern, which typically you know means cold early.

0:51:15.480 --> 0:51:17.400
<v Speaker 13>So the Holy East Coast is good, Mountain Creek is

0:51:17.400 --> 0:51:20.520
<v Speaker 13>doing fantastic. We're gonna have full connection of all of

0:51:20.640 --> 0:51:23.480
<v Speaker 13>four of our peaks by holiday week, which that's how

0:51:23.480 --> 0:51:26.239
<v Speaker 13>we measure a great season. So it's early, but it's

0:51:26.280 --> 0:51:28.359
<v Speaker 13>looking really good and we're really excited about it.

0:51:28.400 --> 0:51:30.319
<v Speaker 3>How many people are showing up. I'm just curious about

0:51:30.320 --> 0:51:32.239
<v Speaker 3>the kind of demand. You know, we are watching the

0:51:32.239 --> 0:51:35.880
<v Speaker 3>consumers so closely, and I'm just curious, what are you seeing.

0:51:36.680 --> 0:51:37.720
<v Speaker 5>Yeah, that's a great question.

0:51:37.840 --> 0:51:41.320
<v Speaker 13>You know, we're seeing great visits because of a great

0:51:41.320 --> 0:51:43.640
<v Speaker 13>snow and the great conditions. And I'll be honest, we

0:51:43.880 --> 0:51:46.760
<v Speaker 13>talked a lot about what's the economic impact of skiing.

0:51:47.160 --> 0:51:49.520
<v Speaker 13>You know, many people, you know sometimes it's a higher

0:51:49.560 --> 0:51:52.080
<v Speaker 13>expensive sport. And I'll tell you in my experience and

0:51:52.120 --> 0:51:55.800
<v Speaker 13>industry in twenty five thirty years, weather is the biggest indicator.

0:51:55.920 --> 0:51:58.160
<v Speaker 13>If you have good weather, you have great visits. If

0:51:58.200 --> 0:51:59.960
<v Speaker 13>you have bad weather, I've lived through with a pandem,

0:52:00.000 --> 0:52:03.840
<v Speaker 13>I've lived through the Great Recession, and when you have

0:52:03.880 --> 0:52:06.000
<v Speaker 13>great weather, you have great visits. And we're seeing that

0:52:06.120 --> 0:52:07.200
<v Speaker 13>on the East coast overall.

0:52:07.280 --> 0:52:09.640
<v Speaker 4>Right, now, that's good. I mean that's here.

0:52:09.800 --> 0:52:12.000
<v Speaker 3>So your bottom line saying it's weather related it has

0:52:12.040 --> 0:52:13.600
<v Speaker 3>nothing to do with the economy.

0:52:14.280 --> 0:52:16.680
<v Speaker 13>Yeah, I spend more time in the fall thinking about,

0:52:16.760 --> 0:52:19.279
<v Speaker 13>you know, how the squirrel's acting and the farmers all

0:52:19.320 --> 0:52:21.960
<v Speaker 13>the act and things like that. I'm more worried about

0:52:21.960 --> 0:52:24.880
<v Speaker 13>that than the economic situation in the country.

0:52:25.080 --> 0:52:28.040
<v Speaker 4>Okay. So, Joe, You've got an interesting business because you

0:52:28.040 --> 0:52:31.440
<v Speaker 4>operate these two resorts, one of them outdoor, one of

0:52:31.480 --> 0:52:32.920
<v Speaker 4>them indoor. I mean the one that you're in right now.

0:52:32.960 --> 0:52:35.400
<v Speaker 4>I've been to this one and it's a great place

0:52:35.440 --> 0:52:37.680
<v Speaker 4>with little kids to like introduce them to skiing and

0:52:37.680 --> 0:52:40.080
<v Speaker 4>to teach them. Talk a little bit about what's going

0:52:40.120 --> 0:52:42.160
<v Speaker 4>on in the American Dream Mall and and just the

0:52:42.200 --> 0:52:44.319
<v Speaker 4>stability there, because there are a lot of questions about

0:52:44.360 --> 0:52:47.520
<v Speaker 4>the mall and the financial health of the mall. But

0:52:47.840 --> 0:52:50.080
<v Speaker 4>are you guys okay, even if the mall as a

0:52:50.080 --> 0:52:52.239
<v Speaker 4>whole is having a challenge.

0:52:52.880 --> 0:52:55.399
<v Speaker 13>Yeah, that's also a great question. We've been here since

0:52:55.440 --> 0:52:58.040
<v Speaker 13>December fifth, twenty nineteen. We were one of the first

0:52:58.080 --> 0:53:01.600
<v Speaker 13>tenants to work with Triple five. I've the people who

0:53:01.640 --> 0:53:05.399
<v Speaker 13>operate the mall, and we've been successful every year since

0:53:05.400 --> 0:53:09.040
<v Speaker 13>twenty nineteen. We've had constant growth from our revenue side.

0:53:09.920 --> 0:53:12.600
<v Speaker 13>Our first year of opening, obviously within six months was

0:53:12.640 --> 0:53:15.480
<v Speaker 13>COVID and the pandemic, so we're a little slow on

0:53:15.480 --> 0:53:17.760
<v Speaker 13>getting groups up, but now we have great group visitation.

0:53:18.800 --> 0:53:21.840
<v Speaker 13>I'm very happy with the performance at Big Snow, and

0:53:22.200 --> 0:53:23.919
<v Speaker 13>this is going into our busiest time of year.

0:53:23.840 --> 0:53:26.880
<v Speaker 5>Where we're going to see really great visits the mall. Overall.

0:53:27.280 --> 0:53:29.440
<v Speaker 13>It's funny back in twenty nineteen, I got asked that

0:53:29.520 --> 0:53:31.400
<v Speaker 13>question all the time, and you might have been the

0:53:31.400 --> 0:53:33.160
<v Speaker 13>first person to ask me that question in the last

0:53:33.160 --> 0:53:36.080
<v Speaker 13>two years, because as you go through the mall, especially

0:53:36.120 --> 0:53:38.600
<v Speaker 13>this time Yere's, it's really there's a lot going on here,

0:53:38.600 --> 0:53:40.440
<v Speaker 13>a lot of entertainment, a lot of new tenants have

0:53:40.480 --> 0:53:44.319
<v Speaker 13>opened up. We're really happy here and we're really happy

0:53:44.320 --> 0:53:45.640
<v Speaker 13>about the business we have here as well.

0:53:46.200 --> 0:53:48.839
<v Speaker 4>Okay, cool, So where are the people and that's three

0:53:48.920 --> 0:53:51.280
<v Speaker 4>sixty five? You're there. You guys are open every day

0:53:51.920 --> 0:53:52.359
<v Speaker 4>every day?

0:53:52.400 --> 0:53:55.480
<v Speaker 5>Well we three sixty four. We close on Thanksgiving?

0:53:55.520 --> 0:53:57.920
<v Speaker 4>Okay, that's the one day you're not open. How's demand

0:53:57.920 --> 0:54:01.200
<v Speaker 4>they're looking because it doesn't matter in terms of snow

0:54:01.280 --> 0:54:05.320
<v Speaker 4>because it's all man made, it's indoor. What does demand

0:54:05.360 --> 0:54:08.600
<v Speaker 4>look like in terms of is it cyclical, is it

0:54:08.640 --> 0:54:10.719
<v Speaker 4>stronger now than it was, because that could give us

0:54:10.760 --> 0:54:12.000
<v Speaker 4>a good barometer of the economy.

0:54:12.040 --> 0:54:12.560
<v Speaker 5>Yeah.

0:54:12.680 --> 0:54:15.600
<v Speaker 13>The most interesting thing about operating a snow dome that's

0:54:15.600 --> 0:54:17.880
<v Speaker 13>open year round is everyone thinks that it's going to

0:54:17.880 --> 0:54:20.360
<v Speaker 13>be busy in the summertime because that's when other resorts

0:54:20.360 --> 0:54:23.440
<v Speaker 13>are closed. But we're busier in the winter when they

0:54:23.440 --> 0:54:25.719
<v Speaker 13>could go to other places. So when winter is on

0:54:25.760 --> 0:54:28.080
<v Speaker 13>people's mind, when snow's in the market. You know, right now,

0:54:28.080 --> 0:54:30.600
<v Speaker 13>we've had snow in Central Park already this year, so

0:54:30.680 --> 0:54:34.240
<v Speaker 13>that drives tons of visitation because when it's cold outside,

0:54:34.239 --> 0:54:37.680
<v Speaker 13>people just think winter, they think skiing, and that's where

0:54:37.719 --> 0:54:39.839
<v Speaker 13>most of it becomes. Springtimes, our slow is time year,

0:54:40.520 --> 0:54:43.719
<v Speaker 13>Summer slightly busier than spring, and then fall starts to

0:54:43.800 --> 0:54:46.439
<v Speaker 13>ramp up with people from all over the country coming

0:54:46.560 --> 0:54:47.680
<v Speaker 13>to get their first terms on.

0:54:47.680 --> 0:54:50.800
<v Speaker 3>Snowe Hey, Joe, I'm curious, you know what your cost

0:54:50.800 --> 0:54:52.959
<v Speaker 3>equation is. You know, we're in an environment where people

0:54:52.960 --> 0:54:56.280
<v Speaker 3>still talk about everything costing a lot. We were talking

0:54:57.320 --> 0:55:00.640
<v Speaker 3>with folks representative of the restaurant industry how they're dealing

0:55:00.640 --> 0:55:04.560
<v Speaker 3>with labor and food and lack of immigration and that

0:55:04.640 --> 0:55:07.239
<v Speaker 3>is certainly impacting them. What are your what's your cost

0:55:07.280 --> 0:55:08.680
<v Speaker 3>structure look like right now?

0:55:09.640 --> 0:55:14.080
<v Speaker 13>Yeah, I think for us, definitely things when utilities get

0:55:14.080 --> 0:55:17.120
<v Speaker 13>more expensive here Big Snow, that's definitely a consideration for us.

0:55:17.920 --> 0:55:20.640
<v Speaker 5>As far as labor, you know, we've we've always.

0:55:20.400 --> 0:55:22.600
<v Speaker 13>Since we opened, we've strived to be one of the

0:55:22.600 --> 0:55:25.720
<v Speaker 13>top workplaces, so we've always paid a very competitive hourly

0:55:26.160 --> 0:55:29.000
<v Speaker 13>wage to our team here and then for as far

0:55:29.080 --> 0:55:32.080
<v Speaker 13>as guests and what it costs at Big Snow specifically,

0:55:32.560 --> 0:55:35.359
<v Speaker 13>we've tried really hard to take the barriers of why

0:55:35.400 --> 0:55:38.000
<v Speaker 13>people don't try skiing in the first place, and we

0:55:38.120 --> 0:55:40.560
<v Speaker 13>tried to take those barriers out of equation and those

0:55:40.600 --> 0:55:43.840
<v Speaker 13>barriers are distant, so we're really close to the population

0:55:43.920 --> 0:55:44.840
<v Speaker 13>here at Big Snow.

0:55:45.120 --> 0:55:46.840
<v Speaker 5>But it's also the price of entry.

0:55:46.920 --> 0:55:49.279
<v Speaker 13>So so you can come and have a package for

0:55:49.680 --> 0:55:52.040
<v Speaker 13>you know, well under one hundred dollars and that gets

0:55:52.080 --> 0:55:56.200
<v Speaker 13>you a lesson, gets you rentals, all the equipment, outerwear, jacket,

0:55:56.520 --> 0:55:57.720
<v Speaker 13>and your access on snow.

0:55:57.840 --> 0:56:01.640
<v Speaker 5>So but cost is definitely over.

0:56:01.440 --> 0:56:03.400
<v Speaker 13>The years, and that's something that We're always tracking to

0:56:03.400 --> 0:56:04.680
<v Speaker 13>figure out how to become more efficient.

0:56:04.719 --> 0:56:05.600
<v Speaker 5>For sure, there's been.

0:56:05.480 --> 0:56:08.200
<v Speaker 4>So much consolidation in the ski industry. You have Alterra

0:56:08.239 --> 0:56:10.920
<v Speaker 4>Mountain Company with the Icon Pass. You have Veil Resorts

0:56:10.960 --> 0:56:13.239
<v Speaker 4>with the Epic Pass, which kind of invented that in

0:56:13.280 --> 0:56:16.160
<v Speaker 4>the early two thousands. Rob Katz and Veil doing that.

0:56:17.320 --> 0:56:20.080
<v Speaker 4>You guys are independent, though, is it How tough is

0:56:20.120 --> 0:56:23.200
<v Speaker 4>it to be an independent operator in twenty twenty five

0:56:23.239 --> 0:56:24.080
<v Speaker 4>twenty twenty six?

0:56:25.080 --> 0:56:27.640
<v Speaker 13>I think it depends on the geography and where you're located.

0:56:28.160 --> 0:56:30.919
<v Speaker 13>We're very lucky that both of our businesses are are

0:56:31.120 --> 0:56:34.400
<v Speaker 13>directly related to population. We do a lot of new visits.

0:56:34.680 --> 0:56:37.000
<v Speaker 13>We have a lot of core local customers in Mountain Creek.

0:56:37.040 --> 0:56:39.440
<v Speaker 13>Up here in New Jersey. We have is our sixtieth

0:56:39.560 --> 0:56:42.320
<v Speaker 13>year of operation, so we have really good communities. People

0:56:42.320 --> 0:56:44.319
<v Speaker 13>that learn to ski there and the sixties are now

0:56:44.360 --> 0:56:45.920
<v Speaker 13>taking their grandkids to learn to ski.

0:56:46.400 --> 0:56:48.879
<v Speaker 5>So for us, it hasn't impacted us.

0:56:48.880 --> 0:56:51.239
<v Speaker 13>But you know, people aren't deciding which way to go,

0:56:51.280 --> 0:56:54.080
<v Speaker 13>and that actually brings up a really interesting point of

0:56:54.160 --> 0:56:56.200
<v Speaker 13>you know, Veil a huge fan with Veil has done

0:56:56.200 --> 0:56:58.440
<v Speaker 13>a huge fan of what all Terra has done. We've

0:56:58.480 --> 0:57:01.279
<v Speaker 13>also seen a lot of independenceries words come together with

0:57:01.320 --> 0:57:04.279
<v Speaker 13>things like the Indie Pass. We actually released a new

0:57:04.280 --> 0:57:06.200
<v Speaker 13>product this year with a bunch of partners called the

0:57:06.200 --> 0:57:09.359
<v Speaker 13>Snow Triple Play because what we found out that we

0:57:09.400 --> 0:57:11.400
<v Speaker 13>are really introducing a lot of people to this sport

0:57:11.800 --> 0:57:13.560
<v Speaker 13>and we can kind of give those people a warm

0:57:13.560 --> 0:57:14.440
<v Speaker 13>handoff to other.

0:57:14.320 --> 0:57:16.920
<v Speaker 5>Resorts all across the Northeast. So we've seen a lot

0:57:16.920 --> 0:57:17.560
<v Speaker 5>of success in that.

0:57:17.960 --> 0:57:20.360
<v Speaker 3>It's really fascinating kind of going through all your business

0:57:20.400 --> 0:57:23.760
<v Speaker 3>you've got, I guess it looks like an app manager

0:57:23.840 --> 0:57:26.160
<v Speaker 3>resort from an iPhone. I mean, talk to us about

0:57:26.200 --> 0:57:28.360
<v Speaker 3>like what the business strategy is and where's the real

0:57:28.400 --> 0:57:31.280
<v Speaker 3>growth is it, you know, creating more of what's behind

0:57:31.320 --> 0:57:33.640
<v Speaker 3>you in other places around the country or even around

0:57:33.640 --> 0:57:35.840
<v Speaker 3>the world. I mean, where's the growth or how do

0:57:35.880 --> 0:57:41.360
<v Speaker 3>you create either organic growth or acquisition growth for your business.

0:57:42.240 --> 0:57:45.800
<v Speaker 13>Yeah, that's so when you look at Big Snow, we

0:57:45.920 --> 0:57:48.400
<v Speaker 13>certainly want to expand and build more Big Snows, And

0:57:48.440 --> 0:57:51.280
<v Speaker 13>I think the reason that is such a great opportunity

0:57:51.360 --> 0:57:54.120
<v Speaker 13>is because you can design them to expect you can

0:57:54.240 --> 0:57:56.240
<v Speaker 13>roll them out, and you can operate them really efficiently,

0:57:56.400 --> 0:57:59.440
<v Speaker 13>kind of like the Jack Welsh, variation is evil situation.

0:58:00.240 --> 0:58:02.200
<v Speaker 13>Without the variation, we can really figure out how to

0:58:02.240 --> 0:58:05.000
<v Speaker 13>operate an efficiency. So big snow is really important in

0:58:05.040 --> 0:58:07.600
<v Speaker 13>our future plan. But we are most excited about Snowcloud,

0:58:07.600 --> 0:58:10.400
<v Speaker 13>which you mentioned in the Technology and you also mentioned

0:58:10.400 --> 0:58:11.080
<v Speaker 13>earlier things like.

0:58:11.080 --> 0:58:12.480
<v Speaker 5>The epic Pass and icon Pass.

0:58:12.920 --> 0:58:16.680
<v Speaker 13>Over the last decade, we've seen massive innovations with those

0:58:16.720 --> 0:58:19.480
<v Speaker 13>past products. But I think the next ten years the

0:58:19.560 --> 0:58:22.320
<v Speaker 13>disruption in the ski space is going to be driven

0:58:22.360 --> 0:58:23.080
<v Speaker 13>by technology.

0:58:23.160 --> 0:58:24.120
<v Speaker 5>I always going to be able with.

0:58:24.640 --> 0:58:26.560
<v Speaker 13>I think it's going to be the way resorts operate

0:58:26.600 --> 0:58:30.560
<v Speaker 13>their business, the platforms they use to relate with customers.

0:58:30.880 --> 0:58:32.960
<v Speaker 13>And I think the biggest change is about to happen

0:58:33.000 --> 0:58:36.040
<v Speaker 13>which we've been excited about is the AI piece, which

0:58:36.320 --> 0:58:37.800
<v Speaker 13>I know a lot of people talk about AI and

0:58:37.800 --> 0:58:39.400
<v Speaker 13>they don't see what that's going to look like and

0:58:39.440 --> 0:58:41.600
<v Speaker 13>how that's going to feel, And the way we see

0:58:41.600 --> 0:58:43.600
<v Speaker 13>it and what we've been building our platform to do

0:58:44.200 --> 0:58:47.040
<v Speaker 13>is you should be worth dealing with your own families, agent,

0:58:47.440 --> 0:58:49.360
<v Speaker 13>booking anything. I think that's the way this is going

0:58:49.400 --> 0:58:51.480
<v Speaker 13>is everyone will have their own agent yea, And if

0:58:51.480 --> 0:58:52.840
<v Speaker 13>you want to go skiing, you're going to say to

0:58:52.880 --> 0:58:54.800
<v Speaker 13>your agent, I want to go skiing, where should I go?

0:58:55.200 --> 0:58:58.360
<v Speaker 13>That agent will then broker with agents at different resorts,

0:58:58.400 --> 0:59:00.800
<v Speaker 13>and I think it's going to completely change change the

0:59:00.840 --> 0:59:03.800
<v Speaker 13>way people plan trips, the way they buy passes. So

0:59:03.880 --> 0:59:05.560
<v Speaker 13>I think in many ways, what we've seen with the

0:59:05.600 --> 0:59:08.400
<v Speaker 13>Epic Pass and Icon Pass and other passes, we're going

0:59:08.480 --> 0:59:11.120
<v Speaker 13>to see a complete change in the relationship of how

0:59:11.160 --> 0:59:14.120
<v Speaker 13>people buy products, plan experiences, and it's all going to

0:59:14.160 --> 0:59:17.160
<v Speaker 13>be hyper personalized. Like, yeah, I have this thing I

0:59:17.200 --> 0:59:19.120
<v Speaker 13>would say is like, have my people call your people.

0:59:19.120 --> 0:59:21.120
<v Speaker 13>That's like the joke that they've always said on cartoons,

0:59:21.480 --> 0:59:22.880
<v Speaker 13>and that's the way I think people are going to

0:59:22.920 --> 0:59:23.640
<v Speaker 13>plan their trips.

0:59:23.920 --> 0:59:25.560
<v Speaker 3>You're talking about agentic AI.

0:59:25.600 --> 0:59:29.960
<v Speaker 13>Right, absolutely, Yeah, yeah, agentic ai where everyone has their agent,

0:59:30.040 --> 0:59:33.480
<v Speaker 13>each business has their own agent. Different Like I see

0:59:33.520 --> 0:59:36.120
<v Speaker 13>a world in the next few years where it's not

0:59:36.160 --> 0:59:38.200
<v Speaker 13>just Epic and Icon as the leaders. I think there's

0:59:38.240 --> 0:59:43.160
<v Speaker 13>probably twenty thirty forty flavors. The technology we're building allows

0:59:43.240 --> 0:59:46.840
<v Speaker 13>any resorts to team up together have different segmentations.

0:59:46.880 --> 0:59:47.520
<v Speaker 5>It's really exciting.

0:59:47.600 --> 0:59:50.000
<v Speaker 3>Totally get it. Heyess. One thing I want to ask

0:59:50.040 --> 0:59:53.480
<v Speaker 3>you climate change, is that creating opportunities for you, especially

0:59:53.480 --> 0:59:57.400
<v Speaker 3>when it comes to inside kind of ski experiences.

0:59:58.600 --> 0:59:58.800
<v Speaker 5>You know.

0:59:58.960 --> 1:00:01.360
<v Speaker 13>I think it's it's definitely easier to operate a business

1:00:01.360 --> 1:00:02.880
<v Speaker 13>when you don't have to worry about the weather. You know,

1:00:03.040 --> 1:00:05.120
<v Speaker 13>we have our outdoor resort and our indoor resort, and

1:00:05.160 --> 1:00:08.760
<v Speaker 13>it's really easy to You know, what's interesting about operating

1:00:08.760 --> 1:00:11.440
<v Speaker 13>Big Snow is it's kind of like retail where I

1:00:11.480 --> 1:00:14.240
<v Speaker 13>can literally predict what we're going to do almost every

1:00:14.320 --> 1:00:17.320
<v Speaker 13>day because of it's so consistent. When you have you

1:00:17.360 --> 1:00:19.960
<v Speaker 13>know the changes in the climate and you have different variables,

1:00:19.960 --> 1:00:21.960
<v Speaker 13>you need to be ready for what if we have

1:00:22.000 --> 1:00:23.760
<v Speaker 13>a slow start like we're seeing out in the West

1:00:23.800 --> 1:00:25.920
<v Speaker 13>right now. And I always remind people that you have

1:00:26.000 --> 1:00:27.960
<v Speaker 13>to have a good pre soul strategy. So Vale has

1:00:27.960 --> 1:00:30.600
<v Speaker 13>done great with the Epic Pass. They've sold them, same

1:00:30.640 --> 1:00:33.400
<v Speaker 13>thing with al Terra with Icon Pass. Resorts know how

1:00:33.400 --> 1:00:35.920
<v Speaker 13>to make sure they protect themselves early. And I always

1:00:35.920 --> 1:00:37.520
<v Speaker 13>tell the skiers who have I have a bunch of

1:00:37.520 --> 1:00:40.240
<v Speaker 13>trips planned out West this year, don't judge the early

1:00:40.280 --> 1:00:42.440
<v Speaker 13>start for the whole season. This could still be an

1:00:42.480 --> 1:00:45.640
<v Speaker 13>amazing season out West. I was a Jackson Hole on Monday.

1:00:45.680 --> 1:00:49.240
<v Speaker 13>They're getting a massive storm this weekend, so you know,

1:00:49.240 --> 1:00:50.680
<v Speaker 13>I wouldn't give up on the season on the West.

1:00:50.680 --> 1:00:52.600
<v Speaker 13>I think we have good, good ski days ahead of us.

1:00:52.640 --> 1:00:55.480
<v Speaker 4>Hey, Joe. To Carol's point about other parts of the business,

1:00:55.480 --> 1:01:00.000
<v Speaker 4>if we think about snow partners and the Umbrella organization,

1:01:00.760 --> 1:01:04.439
<v Speaker 4>how much revenue comes from actual operations of a big

1:01:04.480 --> 1:01:08.200
<v Speaker 4>snow and Mountain Creek versus SoundCloud snow operating business and

1:01:08.480 --> 1:01:11.000
<v Speaker 4>snow Go the bikes that you manufacture and sell.

1:01:11.160 --> 1:01:16.439
<v Speaker 13>Yeah, so revenue wise, we're probably so high level.

1:01:16.520 --> 1:01:18.320
<v Speaker 5>Think of like one hundred million in revenue. We're doing

1:01:18.360 --> 1:01:20.120
<v Speaker 5>sixteen operations at this point.

1:01:20.880 --> 1:01:24.280
<v Speaker 13>The rest of it is primarily focused in Snowcloud or

1:01:24.280 --> 1:01:25.240
<v Speaker 13>software technology.

1:01:25.600 --> 1:01:28.320
<v Speaker 5>As far as where the growth opportunity.

1:01:27.720 --> 1:01:30.320
<v Speaker 13>We think we have, we think Snowcloud is going to

1:01:30.400 --> 1:01:36.280
<v Speaker 13>be the Shopify experiences. We work with Stripe on our

1:01:36.320 --> 1:01:39.000
<v Speaker 13>platform where we're really lucky to be one of their

1:01:39.000 --> 1:01:42.160
<v Speaker 13>category leaders in the space that we're in, and I

1:01:42.200 --> 1:01:45.280
<v Speaker 13>think we can see growth with Snowcloud that's not just

1:01:45.480 --> 1:01:48.720
<v Speaker 13>in the ski business, but water parks and amusement parks.

1:01:49.800 --> 1:01:52.160
<v Speaker 13>I feel a way that Shopify has opened up the

1:01:52.240 --> 1:01:53.960
<v Speaker 13>doors for people who want to be in retail at

1:01:54.000 --> 1:01:56.760
<v Speaker 13>all sizes and levels. I think that's what we're truly

1:01:56.800 --> 1:01:58.040
<v Speaker 13>trying to build with Snowcloud.

1:01:58.080 --> 1:01:59.880
<v Speaker 5>So that right now.

1:01:59.720 --> 1:02:01.640
<v Speaker 13>Is not our largest business, but I always tell people

1:02:01.880 --> 1:02:04.000
<v Speaker 13>is by far our largest opportunity.

1:02:04.160 --> 1:02:05.959
<v Speaker 3>Just gonna say, I love the Mountain Creek water Park.

1:02:06.000 --> 1:02:06.840
<v Speaker 3>Did that with my daughter.

1:02:08.840 --> 1:02:09.640
<v Speaker 2>It's pretty wild.

1:02:10.080 --> 1:02:12.720
<v Speaker 3>It's pretty wild. I actually had the wind kicked out

1:02:12.720 --> 1:02:14.480
<v Speaker 3>of me out of one of the riots, but it

1:02:14.560 --> 1:02:16.080
<v Speaker 3>was a lot of fun.

1:02:16.600 --> 1:02:18.280
<v Speaker 5>No water pike like like that in the world, one

1:02:18.320 --> 1:02:19.560
<v Speaker 5>of us kind of crazy.

1:02:20.200 --> 1:02:22.800
<v Speaker 4>Joe, appreciate you joining us. Joe heshan founder and CEO

1:02:22.960 --> 1:02:25.560
<v Speaker 4>of snow Partners. I'm going to see him on the slopes.

1:02:25.920 --> 1:02:28.000
<v Speaker 1>Yeah, you should join the latter park. It's wide.

1:02:29.400 --> 1:02:32.919
<v Speaker 4>Cool. All right, We'll see you later. Joe Heshian, founder

1:02:32.960 --> 1:02:34.280
<v Speaker 4>and CEO at snow Partners.

1:02:38.640 --> 1:02:42.640
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

1:02:42.720 --> 1:02:46.160
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

1:02:46.200 --> 1:02:49.680
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

1:02:49.920 --> 1:02:51.720
<v Speaker 2>or watch us live on YouTube.

1:02:52.680 --> 1:02:54.560
<v Speaker 3>A new year, and get ready to step up to

1:02:54.600 --> 1:02:57.400
<v Speaker 3>the counter for some of the year's most anticipated cooking.

1:02:57.680 --> 1:02:59.880
<v Speaker 3>We're diving into the US dining scene and things are

1:03:00.000 --> 1:03:02.360
<v Speaker 3>geting deliciously creative, from some of the.

1:03:02.280 --> 1:03:05.200
<v Speaker 4>Most exciting new restaurants opening this year to turning waste

1:03:05.280 --> 1:03:09.480
<v Speaker 4>into tasting menu experiences with Morris Bloomberg Pursuits Food editor Kate,

1:03:09.560 --> 1:03:12.520
<v Speaker 4>creator Kate. When I was reading the story about the counters,

1:03:12.640 --> 1:03:16.400
<v Speaker 4>I brought myself back to this fall late summer. Sebastian,

1:03:16.520 --> 1:03:19.200
<v Speaker 4>who's in the control room right now, Carol, who's right

1:03:19.240 --> 1:03:21.960
<v Speaker 4>across from me, next to you. We were in southern California.

1:03:21.960 --> 1:03:25.440
<v Speaker 4>We were in Orange County, and my sister found out

1:03:25.440 --> 1:03:28.000
<v Speaker 4>we were there. She said, you have to go to

1:03:28.080 --> 1:03:30.800
<v Speaker 4>this one restaurant. So I was so excited because whenever

1:03:30.840 --> 1:03:32.560
<v Speaker 4>we travel together, we tried to do like one really

1:03:32.600 --> 1:03:34.960
<v Speaker 4>nice meal together. It's like a highlight. We go to

1:03:34.960 --> 1:03:37.800
<v Speaker 4>the restaurant, we walk in, it's counter service, and we

1:03:37.840 --> 1:03:39.760
<v Speaker 4>all look at each other and we say, this is

1:03:40.520 --> 1:03:43.200
<v Speaker 4>not the experience we want tonight. Did we make a

1:03:43.240 --> 1:03:44.080
<v Speaker 4>horrible mistake?

1:03:44.320 --> 1:03:46.920
<v Speaker 14>So that was twenty twenty five, and maybe your reaction

1:03:47.000 --> 1:03:49.480
<v Speaker 14>will be a little bit different if that scene is

1:03:49.560 --> 1:03:52.600
<v Speaker 14>recreated in twenty twenty six, because it is going to

1:03:52.600 --> 1:03:56.000
<v Speaker 14>be a big trend. There's so many fun restaurants coming

1:03:56.040 --> 1:03:58.520
<v Speaker 14>opening around the country this year. One of the big

1:03:58.560 --> 1:04:01.520
<v Speaker 14>trends that we're seeing is counter service, where you do

1:04:01.600 --> 1:04:03.520
<v Speaker 14>have to do some of the work yourself. You walk up,

1:04:03.560 --> 1:04:05.760
<v Speaker 14>you order, you should be sitting at a table. If

1:04:05.760 --> 1:04:07.680
<v Speaker 14>they had you standing up, then that's not ideal.

1:04:08.000 --> 1:04:10.920
<v Speaker 4>But oh, we just walked in and walked out, walked out.

1:04:11.080 --> 1:04:13.000
<v Speaker 3>We just felt like it was not going to be

1:04:13.240 --> 1:04:13.880
<v Speaker 3>as nice.

1:04:14.200 --> 1:04:17.960
<v Speaker 14>Well it's it's not. There's definitely some there's definitely something

1:04:18.000 --> 1:04:20.600
<v Speaker 14>missing from it. But the reality is I mean, you

1:04:20.640 --> 1:04:22.440
<v Speaker 14>guys go out to eat, you know what a good

1:04:22.440 --> 1:04:26.560
<v Speaker 14>restaurant is eating ass gotten so expensive it's crazy. I

1:04:26.560 --> 1:04:28.160
<v Speaker 14>mean it's been coming and coming for a while, but

1:04:28.240 --> 1:04:30.680
<v Speaker 14>especially here in New York. You know what, you can't,

1:04:30.720 --> 1:04:33.400
<v Speaker 14>like walk into a restaurant and order a burger and

1:04:33.440 --> 1:04:36.160
<v Speaker 14>a drink and not get a check that's like one

1:04:36.240 --> 1:04:39.400
<v Speaker 14>hundred dollars, you know, and it's crazy.

1:04:39.680 --> 1:04:40.200
<v Speaker 3>It's crazy.

1:04:40.240 --> 1:04:42.200
<v Speaker 14>I mean it's based on reality because, as you know,

1:04:42.280 --> 1:04:44.680
<v Speaker 14>food prices are going up, labor prices are going up.

1:04:45.000 --> 1:04:47.800
<v Speaker 14>Real estate isn't free in New York City, so there's

1:04:47.920 --> 1:04:49.480
<v Speaker 14>a lot of factors.

1:04:49.000 --> 1:04:49.760
<v Speaker 8>Going into it.

1:04:49.920 --> 1:04:52.360
<v Speaker 14>But nonetheless, I think people, I think the sticker shock

1:04:52.360 --> 1:04:55.720
<v Speaker 14>of it is starting to set in and certainly, you know,

1:04:55.760 --> 1:04:58.960
<v Speaker 14>at the margins for restaurants urs are slimmer than ever,

1:04:59.120 --> 1:05:01.480
<v Speaker 14>so they are like, huh, how do we make this?

1:05:01.600 --> 1:05:04.160
<v Speaker 14>How can we cut costs? And so what they are

1:05:04.200 --> 1:05:08.479
<v Speaker 14>doing now is they're increasingly looking at counter options because

1:05:08.480 --> 1:05:11.840
<v Speaker 14>it also fits like the comfort food mentality, so it

1:05:12.000 --> 1:05:14.720
<v Speaker 14>allows you to cut back on labor a little bit.

1:05:15.080 --> 1:05:17.560
<v Speaker 14>It can streamline a restaurant design because you don't need

1:05:17.600 --> 1:05:19.480
<v Speaker 14>like a lot of places to set up to have

1:05:19.560 --> 1:05:24.360
<v Speaker 14>like servers putting things down. So yes, I predict that

1:05:24.440 --> 1:05:26.320
<v Speaker 14>in twenty twenty six you'll walk up to a counter

1:05:26.400 --> 1:05:27.360
<v Speaker 14>because they're also going.

1:05:27.280 --> 1:05:28.080
<v Speaker 1>To be really cool.

1:05:28.520 --> 1:05:32.160
<v Speaker 14>In Chicago. This guy who's like a barbecue champion is

1:05:32.200 --> 1:05:36.680
<v Speaker 14>opening Fat Back. In New Orleans alone Shia, who's a

1:05:36.840 --> 1:05:42.800
<v Speaker 14>really celebrated Israeli chef, is opening Safta's Table and he's

1:05:42.840 --> 1:05:45.280
<v Speaker 14>going to serve food all day long. And then it's

1:05:45.280 --> 1:05:47.960
<v Speaker 14>also happening in DC a place called Brie Bunny. It

1:05:48.080 --> 1:05:50.240
<v Speaker 14>used to be a restaurant called Tail Up Goat that

1:05:50.400 --> 1:05:53.960
<v Speaker 14>was fantastic, it opened a decade ago. And these are

1:05:54.000 --> 1:05:57.919
<v Speaker 14>some very talented restauranteurs and now they're saying, you know what,

1:05:58.360 --> 1:06:00.200
<v Speaker 14>let's go to a different model that's sort of like

1:06:00.280 --> 1:06:04.840
<v Speaker 14>modern American cooking seasonal menus, and and it's going to

1:06:04.840 --> 1:06:06.920
<v Speaker 14>allow us to keep our prices a little bit stable

1:06:07.320 --> 1:06:08.680
<v Speaker 14>instead of ramping up.

1:06:08.800 --> 1:06:11.560
<v Speaker 3>I love feeding the decor of this one, rag rugs,

1:06:11.680 --> 1:06:14.520
<v Speaker 3>patchwork tile floors and string lights, like it's just like

1:06:14.720 --> 1:06:16.360
<v Speaker 3>it just sounds charming to me.

1:06:16.560 --> 1:06:18.560
<v Speaker 14>Carol, You're going to walk in there and not walk out,

1:06:18.840 --> 1:06:21.959
<v Speaker 14>I predict I that's my prediction for twenty twenty six.

1:06:22.160 --> 1:06:24.240
<v Speaker 3>The one thing I also thought was kind of interesting

1:06:24.320 --> 1:06:27.360
<v Speaker 3>is it Maize and Denver. It's eighteen course menu and

1:06:27.400 --> 1:06:29.440
<v Speaker 3>you moved through a series of spaces. I thought that

1:06:29.480 --> 1:06:30.440
<v Speaker 3>was also kind of interesting.

1:06:30.560 --> 1:06:31.040
<v Speaker 8>Isn't that cool?

1:06:31.120 --> 1:06:33.760
<v Speaker 14>Yeah? I mean that isn't don't think like tasting menus

1:06:33.760 --> 1:06:36.000
<v Speaker 14>are dead and gone and that nobody's you're only going

1:06:36.080 --> 1:06:37.840
<v Speaker 14>to be able to eat an account. There will be

1:06:38.520 --> 1:06:40.720
<v Speaker 14>there will be opportunities for you to sit down and

1:06:40.800 --> 1:06:44.840
<v Speaker 14>have some really elite kind of food. And that's happening

1:06:45.000 --> 1:06:49.680
<v Speaker 14>in Denver. This couple, Johnny Kirel, I think, and his

1:06:49.880 --> 1:06:55.040
<v Speaker 14>wife have really spotlighted Mexican food and authentic ingredients, and

1:06:55.120 --> 1:06:58.520
<v Speaker 14>so they're obsessed with maize and corn and so they

1:06:58.600 --> 1:07:02.800
<v Speaker 14>have started of an experiential dining experience, and I think

1:07:02.800 --> 1:07:04.240
<v Speaker 14>that's really fun. That makes me want to go to

1:07:04.240 --> 1:07:04.800
<v Speaker 14>Denver to eat.

1:07:04.920 --> 1:07:07.360
<v Speaker 4>I want to talk about everything on I feel like

1:07:07.640 --> 1:07:18.800
<v Speaker 4>you're listening Matdaily podcast afternoons from.

1:07:18.920 --> 1:07:20.720
<v Speaker 8>I think it does a lot.

1:07:20.800 --> 1:07:23.560
<v Speaker 14>There's still like there's still a sort of faucet of

1:07:24.160 --> 1:07:29.160
<v Speaker 14>high end Japanese sushi masters and wagu chefs who see

1:07:29.200 --> 1:07:31.840
<v Speaker 14>a lot of opportunity in New York and Miami too,

1:07:32.200 --> 1:07:35.400
<v Speaker 14>and who are opening restaurants here, so you will continue

1:07:35.400 --> 1:07:39.720
<v Speaker 14>to see omakasi. I will say, I'm I'm really eyes on.

1:07:39.880 --> 1:07:43.680
<v Speaker 14>I think people are just have are cutting back on

1:07:43.760 --> 1:07:46.600
<v Speaker 14>going out and and or will cut back on going out.

1:07:46.800 --> 1:07:48.680
<v Speaker 14>And so whereas like a year or two ago, we

1:07:48.680 --> 1:07:50.840
<v Speaker 14>would see some of these amakasis priced at like four

1:07:50.920 --> 1:07:53.440
<v Speaker 14>ninety five or five ninety five, and that means you're

1:07:53.480 --> 1:07:56.640
<v Speaker 14>spending like eight hundred dollars, right, Tim, if you take

1:07:56.680 --> 1:07:59.480
<v Speaker 14>me and Carol out, you like get ready to know.

1:07:59.560 --> 1:08:01.680
<v Speaker 4>I to tell you, guys, I was in San Francisco

1:08:01.800 --> 1:08:04.360
<v Speaker 4>last year for a week and one of the things

1:08:04.360 --> 1:08:06.320
<v Speaker 4>I wanted to do was just go to some good restaurants.

1:08:06.320 --> 1:08:08.479
<v Speaker 4>So I texted a friend in San Francisco. I said,

1:08:08.480 --> 1:08:11.120
<v Speaker 4>I just want really good sushi. Where do I go tonight?

1:08:11.480 --> 1:08:13.200
<v Speaker 4>And he texted me a list of like five places.

1:08:13.200 --> 1:08:14.760
<v Speaker 4>I looked up every single one of them. They were

1:08:14.800 --> 1:08:17.839
<v Speaker 4>all Oma case only, and let's just say, my managers

1:08:17.840 --> 1:08:19.920
<v Speaker 4>would not have been happy had I expense to me

1:08:20.000 --> 1:08:20.879
<v Speaker 4>out at those places.

1:08:21.160 --> 1:08:23.400
<v Speaker 14>No, I think so, I think now. I mean, it's

1:08:23.439 --> 1:08:27.080
<v Speaker 14>still obviously you're going to spend three figures on these menus,

1:08:27.240 --> 1:08:29.559
<v Speaker 14>but I'm seeing more a little bit more like two

1:08:29.680 --> 1:08:33.280
<v Speaker 14>ninety five and low three hundreds, which is still so

1:08:33.439 --> 1:08:36.080
<v Speaker 14>much money, but it's like, at least it's like two

1:08:36.080 --> 1:08:36.719
<v Speaker 14>thirds of white.

1:08:36.800 --> 1:08:38.240
<v Speaker 4>I think you're going to be taking us there.

1:08:39.040 --> 1:08:41.720
<v Speaker 3>Let's go well, you know, gosh, I feel like, Kate,

1:08:41.760 --> 1:08:43.479
<v Speaker 3>we've talked to you. I just want to just go big,

1:08:43.479 --> 1:08:46.280
<v Speaker 3>broad if I can for a moment, because I feel

1:08:46.280 --> 1:08:49.000
<v Speaker 3>like we've talked with you through so many different cycles,

1:08:49.600 --> 1:08:51.800
<v Speaker 3>and we've had good cycles, and then we had the

1:08:51.840 --> 1:08:54.880
<v Speaker 3>pandemic and everybody had a shift, like what was last

1:08:54.960 --> 1:08:57.840
<v Speaker 3>year like? And where is the restaurant industry some of

1:08:57.840 --> 1:08:58.559
<v Speaker 3>these major cities.

1:08:58.600 --> 1:08:59.920
<v Speaker 8>It's such a good question, Carol.

1:09:00.080 --> 1:09:02.320
<v Speaker 14>I think if I look especially at New York City

1:09:02.320 --> 1:09:04.479
<v Speaker 14>because that's my home, and it's the most exciting food

1:09:04.479 --> 1:09:06.920
<v Speaker 14>seat in the world. I will say that I think

1:09:06.960 --> 1:09:09.559
<v Speaker 14>everything was on the front burner. There was so much.

1:09:09.880 --> 1:09:13.519
<v Speaker 14>There was so much happening with like go here, do this,

1:09:13.720 --> 1:09:16.680
<v Speaker 14>go to the corner store, go to trees. You know,

1:09:16.760 --> 1:09:19.280
<v Speaker 14>it was like it was seemed like a constant highlight reel.

1:09:19.479 --> 1:09:22.760
<v Speaker 14>And there's still like so much of that Yolo mentality

1:09:23.000 --> 1:09:25.160
<v Speaker 14>where you really feel like I'm going to do this,

1:09:25.240 --> 1:09:27.920
<v Speaker 14>like I've got to have like a corn experience tasting menu.

1:09:28.400 --> 1:09:31.040
<v Speaker 14>And I think this year is the year that we

1:09:31.080 --> 1:09:33.200
<v Speaker 14>step back a little bit and things dial down a

1:09:33.200 --> 1:09:34.880
<v Speaker 14>little bit. In New York City feels a little bit

1:09:34.880 --> 1:09:37.599
<v Speaker 14>more lived in, and you go, like you keep supporting.

1:09:37.640 --> 1:09:40.479
<v Speaker 14>Something that happened right after the pandemic is that people

1:09:40.560 --> 1:09:43.680
<v Speaker 14>really supported their neighborhood restaurants and then there was all

1:09:43.680 --> 1:09:47.000
<v Speaker 14>this pent up energy though, and so it went from

1:09:47.120 --> 1:09:49.720
<v Speaker 14>maybe it's burning your local restaurants, but really going big

1:09:49.760 --> 1:09:52.400
<v Speaker 14>to the places that you saw over social media. And

1:09:52.439 --> 1:09:55.000
<v Speaker 14>I think that calms down now. I think that places

1:09:55.320 --> 1:09:58.720
<v Speaker 14>the biggest restaurant opening and it's not on our list

1:09:58.760 --> 1:10:01.200
<v Speaker 14>because it opened at the end of last year, but

1:10:01.400 --> 1:10:04.280
<v Speaker 14>it's called stars. It's a little wine bar. It's on

1:10:04.560 --> 1:10:08.040
<v Speaker 14>East twelfth Street. It's like a horseshoe counter. It was

1:10:08.080 --> 1:10:11.559
<v Speaker 14>apparently inspired by Grand Central oyster bar, except that it

1:10:11.680 --> 1:10:15.120
<v Speaker 14>only seats like twenty, like you only like twenty people

1:10:15.160 --> 1:10:17.640
<v Speaker 14>can fit in it. But it's a wine bar with

1:10:17.800 --> 1:10:21.920
<v Speaker 14>a fantastic array of snacks. They have these deviled eggs

1:10:21.960 --> 1:10:23.479
<v Speaker 14>that have been getting a lot of attention with these

1:10:23.520 --> 1:10:26.400
<v Speaker 14>little pastry stars on them. They have a shrimp sandwich

1:10:26.439 --> 1:10:30.200
<v Speaker 14>that's bananas with like a really good crusty, you know,

1:10:30.320 --> 1:10:34.320
<v Speaker 14>crusty buttered, griddled bread on it, surrounding these like plump shrimp.

1:10:34.560 --> 1:10:36.840
<v Speaker 14>And you can walk out of there for like maybe

1:10:36.880 --> 1:10:38.800
<v Speaker 14>one hundred dollars, Like maybe you'll spend one hundred dollars

1:10:38.840 --> 1:10:41.120
<v Speaker 14>if you're drinking some really good glasses of wine. But

1:10:41.120 --> 1:10:43.200
<v Speaker 14>you can also go out of there for like sixty

1:10:43.240 --> 1:10:45.360
<v Speaker 14>bucks and then go have dinner somewhere else, or go

1:10:45.439 --> 1:10:47.599
<v Speaker 14>home and cook your dinner. And I think we've written

1:10:47.600 --> 1:10:49.880
<v Speaker 14>about that but before. But wine bars are like here

1:10:49.880 --> 1:10:52.280
<v Speaker 14>to meet your economic moment, and New York City hasn't

1:10:52.320 --> 1:10:54.200
<v Speaker 14>done wine bar so well, and now it starts.

1:10:54.240 --> 1:10:57.160
<v Speaker 4>Now can we talk some trash?

1:10:57.240 --> 1:11:00.479
<v Speaker 3>Yes, I love this story. They love talking track love

1:11:00.520 --> 1:11:01.000
<v Speaker 3>this story.

1:11:01.240 --> 1:11:03.000
<v Speaker 4>So this is this. I was reading this, this story

1:11:03.000 --> 1:11:05.680
<v Speaker 4>by Emma Court Kay creator edited it, and I was

1:11:05.720 --> 1:11:07.719
<v Speaker 4>reading and I was thinking, this is so up Carol's alley.

1:11:07.760 --> 1:11:10.240
<v Speaker 4>Because Carol's not somebody to waste anything.

1:11:10.320 --> 1:11:11.360
<v Speaker 1>We try not, but we.

1:11:11.320 --> 1:11:14.200
<v Speaker 4>Talk a lot about just personally, how much food goes

1:11:14.240 --> 1:11:17.080
<v Speaker 4>to waste, Like you know, spoiled salad in the fridge

1:11:17.160 --> 1:11:19.120
<v Speaker 4>ends up we end up throwing it away. This is

1:11:19.160 --> 1:11:22.479
<v Speaker 4>a huge issue for larger establishments like hotels and large

1:11:22.479 --> 1:11:23.160
<v Speaker 4>restaurants too.

1:11:23.400 --> 1:11:26.800
<v Speaker 14>Food waste is I'm so with you, Carol. It makes

1:11:26.840 --> 1:11:29.360
<v Speaker 14>me nuts, and it gets wasted on every level. It

1:11:29.360 --> 1:11:32.559
<v Speaker 14>gets wasted in your home, but it especially gets wasted

1:11:33.040 --> 1:11:36.679
<v Speaker 14>in kitchens and you know, commercial operations, and it happens

1:11:36.720 --> 1:11:39.559
<v Speaker 14>on every It happens in every stage. It happens when

1:11:39.600 --> 1:11:43.080
<v Speaker 14>you're preparing food and you throw out trimmings. There's plate

1:11:43.120 --> 1:11:45.760
<v Speaker 14>waste that also has a lot to do with it.

1:11:46.040 --> 1:11:49.720
<v Speaker 14>I'm interested to see how that evolves with as more

1:11:49.760 --> 1:11:52.519
<v Speaker 14>and more people are on like GLP one drugs, and

1:11:52.800 --> 1:11:55.320
<v Speaker 14>because portions I think are becoming like a little bit

1:11:55.320 --> 1:11:58.400
<v Speaker 14>more reasonable because here, at least here in the US,

1:11:58.720 --> 1:12:01.879
<v Speaker 14>and so hopefully that play waste is going to decrease

1:12:01.920 --> 1:12:04.880
<v Speaker 14>a bit. But there's the restaurant in the East Village

1:12:04.920 --> 1:12:08.040
<v Speaker 14>called Hags that you can pay up to one hundred

1:12:08.040 --> 1:12:13.720
<v Speaker 14>and sixty dollars for your food. But the chef specializes

1:12:13.880 --> 1:12:18.120
<v Speaker 14>in maximizing her trimmings, Like she grows mushrooms, Like she

1:12:18.240 --> 1:12:21.280
<v Speaker 14>uses the compost in her kitchen to grow mushrooms that

1:12:21.360 --> 1:12:25.160
<v Speaker 14>feature in like a beautiful like risotto. And she's using

1:12:25.200 --> 1:12:28.519
<v Speaker 14>like squash trimmings to make like the soup and every

1:12:28.560 --> 1:12:30.680
<v Speaker 14>single thing that you can think about that you and

1:12:30.720 --> 1:12:33.599
<v Speaker 14>I might throw in the garbage. She's like, nope, Like

1:12:33.720 --> 1:12:35.080
<v Speaker 14>I see other opportunities.

1:12:35.280 --> 1:12:37.599
<v Speaker 3>I think it's really it's brilliant because if you think

1:12:37.640 --> 1:12:39.760
<v Speaker 3>about right sometimes to create something, especially at a really

1:12:39.800 --> 1:12:42.320
<v Speaker 3>nice restaurant, like how much food either they're cutting away

1:12:42.720 --> 1:12:45.559
<v Speaker 3>or so on. But it's also like this whole area

1:12:45.600 --> 1:12:48.160
<v Speaker 3>of companies that have come up if you will, to

1:12:48.240 --> 1:12:51.120
<v Speaker 3>help these restaurants like monitor their foods on and so forth.

1:12:51.160 --> 1:12:53.639
<v Speaker 3>So there's this whole other industry, cottage industry or whatever

1:12:53.680 --> 1:12:55.320
<v Speaker 3>you want to call it that has popped up.

1:12:55.439 --> 1:12:57.719
<v Speaker 14>Well it's so smart. Yeah, there's a company called Winnow

1:12:58.000 --> 1:13:03.440
<v Speaker 14>that analyzes you. This is some proprietary technology to analyze

1:13:03.479 --> 1:13:06.160
<v Speaker 14>the trash and see what you might be able to use.

1:13:06.439 --> 1:13:08.280
<v Speaker 14>And I think they've been working with some big hotel

1:13:08.320 --> 1:13:11.280
<v Speaker 14>groups like the Four Seasons and now the Four Seasons Houston.

1:13:11.360 --> 1:13:13.760
<v Speaker 14>I think was making like a case of da or

1:13:13.800 --> 1:13:17.519
<v Speaker 14>something that ended up being seventy percent waste. That isn't

1:13:17.520 --> 1:13:20.280
<v Speaker 14>that fantastic, Like it saves them money, it's better for

1:13:20.320 --> 1:13:21.879
<v Speaker 14>the environment, all of it.

1:13:21.880 --> 1:13:24.360
<v Speaker 4>It's not just customer plates though, that where the waste

1:13:24.360 --> 1:13:26.559
<v Speaker 4>comes from. That's about a third of the waste according

1:13:26.560 --> 1:13:29.080
<v Speaker 4>to this story. This is the Waste and Resources Action

1:13:29.200 --> 1:13:31.720
<v Speaker 4>Program data, but forty five percent of it comes from

1:13:31.760 --> 1:13:34.040
<v Speaker 4>food prep. Twenty one percent comes from spoilage and the

1:13:34.080 --> 1:13:35.679
<v Speaker 4>food prep side of things. It kind of makes sense

1:13:35.720 --> 1:13:38.479
<v Speaker 4>and fine dining because it's like they want to present

1:13:38.800 --> 1:13:42.400
<v Speaker 4>like the most ideal part of whatever they're cutting, whether

1:13:42.400 --> 1:13:44.760
<v Speaker 4>that's a piece of meat, whether it's a filet, or

1:13:44.760 --> 1:13:46.080
<v Speaker 4>whether it's a fruit or vegetable.

1:13:46.280 --> 1:13:49.000
<v Speaker 14>Right, no, exactly, but I think that the onus of

1:13:49.040 --> 1:13:51.160
<v Speaker 14>that that certainly was the case like a decade ago,

1:13:51.560 --> 1:13:53.840
<v Speaker 14>and now especially it find dining, because the margins are

1:13:53.840 --> 1:13:56.679
<v Speaker 14>so thin, they really have to figure out something else

1:13:56.720 --> 1:13:59.479
<v Speaker 14>to do with like that, with a less attractive piece

1:13:59.479 --> 1:14:02.479
<v Speaker 14>of duck, it's not going on the customer's play.

1:14:02.560 --> 1:14:05.800
<v Speaker 4>Well, are we going to start accepting that as customers?

1:14:05.840 --> 1:14:05.920
<v Speaker 9>Like?

1:14:05.920 --> 1:14:07.280
<v Speaker 4>What do you do with that piece of duck? If

1:14:07.320 --> 1:14:09.880
<v Speaker 4>the person who walks into that fine dining establishment doesn't

1:14:09.880 --> 1:14:10.240
<v Speaker 4>want that.

1:14:10.439 --> 1:14:13.160
<v Speaker 14>I mean it depends. There's different categories of diners. And

1:14:13.840 --> 1:14:15.840
<v Speaker 14>you know there's some people who are like, oh no,

1:14:16.040 --> 1:14:19.320
<v Speaker 14>like how could you? But I think now there's so much.

1:14:19.520 --> 1:14:22.360
<v Speaker 14>You know, people love something imperfect because it generally tells

1:14:22.360 --> 1:14:25.599
<v Speaker 14>a story. And I say, man chefs and restaurants, yeah,

1:14:25.640 --> 1:14:28.960
<v Speaker 14>me and you, Carol. But I think people, most diners,

1:14:29.040 --> 1:14:33.439
<v Speaker 14>especially if they're like gen Z, are not necessarily looking

1:14:33.479 --> 1:14:36.080
<v Speaker 14>for the exact perfect siceve Wago.

1:14:36.040 --> 1:14:37.880
<v Speaker 3>Love love, love this story. Actually, there's a bunch of

1:14:37.920 --> 1:14:39.439
<v Speaker 3>people in the story. I want to get on our

1:14:39.840 --> 1:14:40.519
<v Speaker 3>talk about kind.

1:14:41.560 --> 1:14:44.080
<v Speaker 4>They bring some food. I don't need the mushrooms.

1:14:43.880 --> 1:14:46.519
<v Speaker 1>The deal, you know, Tim eats, I don't. I don't

1:14:46.680 --> 1:14:47.559
<v Speaker 1>during our show.

1:14:47.360 --> 1:14:49.320
<v Speaker 4>The mushroom powder. I don't need the mushroom powder. But

1:14:49.400 --> 1:14:49.920
<v Speaker 4>anything you.

1:14:49.880 --> 1:14:51.600
<v Speaker 14>Can let them know that it can be part of

1:14:51.640 --> 1:14:52.440
<v Speaker 14>your rider.

1:14:54.200 --> 1:14:54.960
<v Speaker 1>Countertable.

1:14:55.000 --> 1:14:55.920
<v Speaker 8>Tim's always eating.

1:14:56.400 --> 1:14:58.280
<v Speaker 3>Yeah, yummy, Kate, Thank you so much. Great to have

1:14:58.400 --> 1:14:59.040
<v Speaker 3>you in town too.

1:14:59.200 --> 1:15:01.479
<v Speaker 4>That's Kate, Creator, Bloomberg Pursuits Food Editor.

1:15:01.640 --> 1:15:03.599
<v Speaker 3>And that wraps up our weekend edition of Bloomberg Business

1:15:03.600 --> 1:15:05.920
<v Speaker 3>Week on Bloomberg Radio. Thank you so much for joining us.

1:15:06.200 --> 1:15:08.400
<v Speaker 4>I'm Tim Stenefeck and he's hungry.

1:15:08.120 --> 1:15:10.960
<v Speaker 3>And I'm Carol Master. I might be hungry to have

1:15:11.000 --> 1:15:12.720
<v Speaker 3>a great and safe weekend everyone.

1:15:13.120 --> 1:15:18.480
<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify,

1:15:18.560 --> 1:15:22.320
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

1:15:22.320 --> 1:15:26.360
<v Speaker 2>afternoons from two to five pm Eastern on Bloomberg dot com,

1:15:26.400 --> 1:15:30.320
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1:15:30.520 --> 1:15:33.440
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1:15:33.520 --> 1:15:35.679
<v Speaker 2>and always on the Bloomberg terminal