WEBVTT - Bloomberg Businessweek Weekend - May 30th, 2025

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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 Weekdaily

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

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<v Speaker 1>Hi, everyone, Welcome to the Bloomberg Business Wee Weekend Podcast.

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<v Speaker 1>This week and video earnings, more, talk about tariffs and

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<v Speaker 1>onshoing and the latest read on US inflation. Not a

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<v Speaker 1>busy week, it was a holiday shortened trading week. For

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<v Speaker 1>the latest on all of it, head over to Bloomberg

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<v Speaker 1>dot com.

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<v Speaker 3>With that as our backdrop, we share a bit of

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<v Speaker 3>our Nvidia earnings reaction courtesy of our own at Ludlow

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<v Speaker 3>after is sit down with Nvidia CEO Jensen Wong. The

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<v Speaker 3>stock rallied after the report. More on that in just

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<v Speaker 3>a moment.

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<v Speaker 1>Plus this hour. Why tariffs alone are not enough to

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<v Speaker 1>reindustrialize America, so argues the CEO of Speculative Technologies, plus

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<v Speaker 1>the small Asian nation pois to win nuclear energies nine

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<v Speaker 1>trillion dollar comeback, and.

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<v Speaker 3>It's been six years since the murder of George Floyd?

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<v Speaker 3>Have we seen any progress since that? The President of

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<v Speaker 3>the Urban League stops by in our second hour with

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<v Speaker 3>a reality check in interestingly enough, his thoughts on the

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<v Speaker 3>US steal and Nippon Steele tie up all of.

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<v Speaker 1>That to come. We begin with what was probably safe

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<v Speaker 1>to say the top tech, the top AI earnings, market, investment,

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<v Speaker 1>and business story of the week all rolled into one,

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<v Speaker 1>and by that we mean earnings from the world's largest

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<v Speaker 1>semiconductor company and video. After the company's earnings call, CEO

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<v Speaker 1>Jensen Wong sat down with Bloomberg Technology co hosted Ludlow

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<v Speaker 1>to talk about the results. Bloomberg News senior semiconductor networking

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<v Speaker 1>reporter Ian King joined us with more.

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<v Speaker 3>Ian, I just want to get a clear understanding from

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<v Speaker 3>you about where exactly in video up for concern around China,

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<v Speaker 3>because that was a big question moving in to their earnings,

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<v Speaker 3>and then also with regard to the restrictions that have

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<v Speaker 3>been placed on the company by the Trump administration with

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<v Speaker 3>regard to the H twenty chip, Where did in video

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<v Speaker 3>make up for this?

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<v Speaker 4>Yeah, I know you're asking the right question here and

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<v Speaker 4>in many respects. It was a kind of a bizarre

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<v Speaker 4>announcement and reaction. They said, look, things in China were

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<v Speaker 4>worse than you thought, right, and are going to continue

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<v Speaker 4>to be worse than you thought. We're going to lose

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<v Speaker 4>eight billion dollars of revenue from China, so clearly, well,

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<v Speaker 4>but why your earning is that bad then? And the

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<v Speaker 4>answer was because everything else is good?

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<v Speaker 5>Right.

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<v Speaker 4>Networking came back that had been a slightly weak spot

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<v Speaker 4>a quarter ago, the new Blackwell range based products getting

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<v Speaker 4>more supply of that. Things are going a lot better.

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<v Speaker 4>Their demand is really going very well. And they talked

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<v Speaker 4>about the spread of their technology into the enterprise or

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<v Speaker 4>robotics to automotive, but that was a bit more sort

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<v Speaker 4>of longer term. The bottom line here is that the

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<v Speaker 4>big spenders on this technology, the Microsoft's, the Amazons, are still.

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<v Speaker 1>Spending thank god, right for the hyperscalers Ian is it

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<v Speaker 1>broadening out? Though? Beyond that, I think there was a

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<v Speaker 1>lot of wondering about the Tier two companies, the sovereign

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<v Speaker 1>play here, which provides potential, lots of potential maybe for

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<v Speaker 1>in video going forward. Do we get anything on that?

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<v Speaker 4>Yeah, in a word, no, we got plenty of it.

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<v Speaker 4>But it's not broadening out. Fifty percent of their data

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<v Speaker 4>center business was still these so called hyperscalis. I mean,

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<v Speaker 4>they talked a lot about it broadening out and finding

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<v Speaker 4>its way into other parts of the economy. And I

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<v Speaker 4>guess you could say that, well, maybe enterprises, you know,

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<v Speaker 4>the corporations, governments, service providers using more of the cloud services,

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<v Speaker 4>that the use of AI is broadening, but in terms

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<v Speaker 4>of the revenue makeup, that's still very solidly going to

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<v Speaker 4>these so called hyperscalers. And I think long term investors

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<v Speaker 4>want to see that fifty percent ratio go considerably lower

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<v Speaker 4>to have a real assurance that everybody's putting this gear

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<v Speaker 4>in their own data centers and their own nationalized centers

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<v Speaker 4>before they'll become more comfortable with the idea.

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<v Speaker 3>Yeah, I'm curious if, in your view, in Video's mote,

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<v Speaker 3>when it comes to the technology that it has, is

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<v Speaker 3>getting any more shallow right now, or if it's getting deeper.

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<v Speaker 3>We did speak in our covery to some folks who

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<v Speaker 3>reminded us that a company such as Alphabet's Google is

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<v Speaker 3>creating their own technology that helps them rely less on

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<v Speaker 3>a company such as in Video. How is in Video's

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<v Speaker 3>moat right now, A.

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<v Speaker 4>Couple of ways to look at it. The numbers would

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<v Speaker 4>indicate that nobody's even getting close, right, it's outgrowing everybody.

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<v Speaker 4>I mean, the revenue it gave up in China is

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<v Speaker 4>more than the total revenue for AMD, which is purportedly

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<v Speaker 4>its nearest competitor, right, so scale wise, I forget about it, right,

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<v Speaker 4>But part of that interview, what Jensen said was, look, Huawei,

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<v Speaker 4>which is the Chinese, you know, technology company that the

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<v Speaker 4>US government has gone to great lengths to kind of

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<v Speaker 4>lock out of the world, is fueling a chip now

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<v Speaker 4>which is pretty much as good as our H two hundred.

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<v Speaker 4>And you remember, up until earlier this year, H two

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<v Speaker 4>hundred was the best thing that Nvidia had. So he

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<v Speaker 4>was cautioning that, you know, in our absence in China,

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<v Speaker 4>is actually fueling competition there, and they are doing a

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<v Speaker 4>lot better than you thought they were doing well.

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<v Speaker 1>So help me understand, because I thought when these headlines

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<v Speaker 1>I try, I'm trying to understand they are saying that

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<v Speaker 1>they're considering trying to design a new chip for the

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<v Speaker 1>Chinese market. As we know, the administration has you know,

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<v Speaker 1>kind of slowed Some are certainly the more sophisticated ships.

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<v Speaker 1>At the same time, I'm you know, executives, from what

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<v Speaker 1>we understand from the conference call at in VIDI are

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<v Speaker 1>spending a lot of time reaching out to the government

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<v Speaker 1>to like lift some of these restrictions. So help me understand,

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<v Speaker 1>does it sell like Nvidia expects that China will reopen

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<v Speaker 1>or I don't know. I'm just trying to understand if

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<v Speaker 1>that is going to be you know, more of a

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<v Speaker 1>healthier revenue stream for them going forward.

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<v Speaker 4>Yeah, So that was a very you know that that's

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<v Speaker 4>the right question that everybody is asking, and it was

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<v Speaker 4>asked explicitly and implicitly in a number of ways on

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<v Speaker 4>the conference call. What in Nvidia said was was, look, sure,

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<v Speaker 4>we'd like to have another solution. We'd like to go

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<v Speaker 4>back to doing what we did, which was find a

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<v Speaker 4>way to get a chip that does not trigger these restrictions.

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<v Speaker 4>But frankly, these restrictions are so stringent at this point,

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<v Speaker 4>is there a point in doing that. Is there a

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<v Speaker 4>way that we can do this technically and have a

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<v Speaker 4>chip in China which the Chinese want and doesn't raise

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<v Speaker 4>the hore of our government And they thought they'd done

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<v Speaker 4>that the H twenty and they thought that perhaps the

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<v Speaker 4>Trump administration might take a different line to the Biden administration,

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<v Speaker 4>but they didn't. They double down on that policy, and

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<v Speaker 4>they said, no, you can't even have the H twenty,

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<v Speaker 4>which is, you know, a weakling, younger brother of the

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<v Speaker 4>H two hundred we just talked about. So is there

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<v Speaker 4>any point was part of what the question part of

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<v Speaker 4>the answer that they gave.

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<v Speaker 3>In your view does maybe not in your view, but

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<v Speaker 3>in the view of some of the folks you speak

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<v Speaker 3>to when you're doing your reporting. Does a restrictions such

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<v Speaker 3>as this actually help push China to develop its own technology?

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<v Speaker 4>I mean it already has done, right, I mean Jensen

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<v Speaker 4>said that. I mean you could argue it's in his

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<v Speaker 4>interest to create a scare that would persuade people to

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<v Speaker 4>come to his point of view. But there's no denying

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<v Speaker 4>that there are large scale deployments now of wildway tips.

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<v Speaker 1>Hey, real quickly before we go out there. Republican centater

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<v Speaker 1>Jim Banks and Democrat Elizabeth Warren are demanding answers from Jensen,

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<v Speaker 1>Wong and Video's plans to actually open up a research

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<v Speaker 1>facility in Shanghai, and they are of course citing national

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<v Speaker 1>security and economic security concerns. Should we be scratching our

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<v Speaker 1>head on that considering the backdrop between US and China

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<v Speaker 1>right now?

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<v Speaker 4>Yeah, I mean, I don't want to be rude about

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<v Speaker 4>our competition, but they perhaps need to work a little

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<v Speaker 4>bit harder on that one. This is already asked and answered.

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<v Speaker 4>This is a new office, an office to help people

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<v Speaker 4>to return to work. In Vidia has said publicly nothing

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<v Speaker 4>to do with the research and design center, and so

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<v Speaker 4>perhaps those politicians met to not read everything that they

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<v Speaker 4>has written out there. Perhaps the want to check on

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<v Speaker 4>the reporting.

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<v Speaker 3>That was Bloomberg New senior Semiconductor and networking reporter Ian King.

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<v Speaker 1>Okay, well, the street and many investors are still very

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<v Speaker 1>bullish on Invidia. I mean, just check out what the

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<v Speaker 1>share price did right after the earnings release. We also

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<v Speaker 1>got the bear case from someone on the street. We're

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<v Speaker 1>talking about Jay Goldberg, senior analyst covers semiconductors and electronics

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<v Speaker 1>at Seaport Research Partners. He's the only analyst on the

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<v Speaker 1>Bloomberg terminal who has a cell rating on Nvidia.

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<v Speaker 6>My take is that in Vidia the most scrutinized company

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<v Speaker 6>in the planet. We all have a pretty good sense

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<v Speaker 6>of what their numbers should look like this year, what

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<v Speaker 6>their capacity is working backwards from that, there's not a

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<v Speaker 6>lot of room left for upside, right, There's a few

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<v Speaker 6>things here and there, but there's not much upside possible.

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<v Speaker 6>But on the downside, there's still a lot of risks.

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<v Speaker 6>There are a lot of things that could go wrong.

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<v Speaker 6>There's lots of problems with the supply chain. The fact

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<v Speaker 6>that the keeper mentioning that Blackwell is ramping, that was

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<v Speaker 6>in doubt for a while. There's just a lot of

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<v Speaker 6>questions the company. It's a good company, it's well run.

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<v Speaker 6>It's just gotten so big so quickly. I don't think

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<v Speaker 6>they can keep this. The level of expectations beating that

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<v Speaker 6>they've had for the last three years, that just can't

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<v Speaker 6>keep going.

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<v Speaker 7>And I think the headwinds are continuing to mount.

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<v Speaker 1>In the earning statement, in video, CEO Jensen Wong saying

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<v Speaker 1>global demand for Nvidia's AI infrastructure is incredibly strong. AI

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<v Speaker 1>inferenced token generation has surged tenfold in just one year,

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<v Speaker 1>and as AI agents become mainstream, the demand for AI

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<v Speaker 1>computing will accelerate. Jay obviously sounds upbeat, but again, you know,

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<v Speaker 1>this is where we want to have some numbers around things,

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<v Speaker 1>the CFO saying sales of their H twenty products four

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<v Speaker 1>point six billion for the first quarter of twenty twenty six.

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<v Speaker 1>Is there anything that could kind of make you say, well,

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<v Speaker 1>wait a minute, maybe I need to say it's not

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<v Speaker 1>a sell. Maybe there is something interesting here.

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<v Speaker 6>So I think the underlying question is what are we

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<v Speaker 6>going to do with AI? Like there's a lot of

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<v Speaker 6>excitement around AI, but it's still in very early stages,

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<v Speaker 6>you know. I like to think of this as the

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<v Speaker 6>Internet in the nineteen seventies. We knew it was something,

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<v Speaker 6>but we didn't know what it would become. I think

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<v Speaker 6>that's where we are with AI now, and I think

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<v Speaker 6>it's going to take a few years for us to

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<v Speaker 6>really as an industry figure out what the actual consumer

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<v Speaker 6>use cases and applications are. And in that process there's

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<v Speaker 6>going to be some fits and starts, and I just

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<v Speaker 6>don't think we can keep this momentum going forever. I

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<v Speaker 6>know demand is good now now, but we start to

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<v Speaker 6>look into next year. I think people are starting to

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<v Speaker 6>ask good questions about what is the ROI and these

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<v Speaker 6>massive GPU investments all the hyperscalers and the enterprises have made,

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<v Speaker 6>and I don't think we've seen those yet. I think

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<v Speaker 6>what would sort of alter my belief is if somebody

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<v Speaker 6>invents some incredible consumer application for AI that would radically

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<v Speaker 6>accelerate things.

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<v Speaker 3>That was Jay Goldberg, senior analyst on Semiconductors and Electronics

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<v Speaker 3>at Seaport Research Partners, once again, the only analyst on

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<v Speaker 3>the terminal who's got a celerating on Nvidia and.

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<v Speaker 1>Sticking to it, at least sticking to it that far.

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<v Speaker 3>Hey, he likes being a contrariant, he told us.

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<v Speaker 1>Yeah, he had some really good thoughts kind of on

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<v Speaker 1>AI more broadly too. All right, coming up, Why tariffs

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<v Speaker 1>will not lead to an American manufacturing revival, so argues

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<v Speaker 1>our next guest.

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<v Speaker 3>This is Bloomberg.

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<v Speaker 2>You are listening to the Bloomberg Business Weekdaily Podcast. Catch

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<v Speaker 2>us live weekday afternoons from two to five pm Eastern

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<v Speaker 2>Business app, or watch us live on YouTube.

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<v Speaker 1>This past weeks, i'm legal back and forth on President

0:12:06.360 --> 0:12:09.440
<v Speaker 1>Trump's tariff push. The latest, as we put this week's

0:12:09.440 --> 0:12:12.640
<v Speaker 1>Business Week to bed, was a federal appeals court that

0:12:12.800 --> 0:12:16.000
<v Speaker 1>temporarily blocked a ruling that threatened to throw out the

0:12:16.000 --> 0:12:19.280
<v Speaker 1>bulk of President Trump's tariff agenda, giving the White House

0:12:19.320 --> 0:12:22.600
<v Speaker 1>hope to continue its efforts to rewrite the global trading order.

0:12:22.840 --> 0:12:24.760
<v Speaker 1>Now for the latest head on over to Bloomberg dot

0:12:24.760 --> 0:12:28.040
<v Speaker 1>com as it continues to be a developing story. Now,

0:12:28.320 --> 0:12:31.160
<v Speaker 1>keep in mind, part of the president's justification is to

0:12:31.200 --> 0:12:33.920
<v Speaker 1>get more companies to produce in the United States, invest

0:12:33.960 --> 0:12:37.120
<v Speaker 1>in the United States, and grow domestic manufacturing. And to

0:12:37.240 --> 0:12:40.199
<v Speaker 1>be fair, Tim, we heard from a lot of companies

0:12:40.280 --> 0:12:43.439
<v Speaker 1>global companies about investing in the US or at least

0:12:43.480 --> 0:12:46.120
<v Speaker 1>plans to do so and ramp up their exposure here.

0:12:46.480 --> 0:12:49.000
<v Speaker 3>When you think about the history of American manufacturing, it

0:12:49.120 --> 0:12:52.040
<v Speaker 3>was actually at its peak just ahead of the financial crisis.

0:12:52.520 --> 0:12:55.719
<v Speaker 3>But as Dan Wang, a research fellow at Stanford University's

0:12:55.720 --> 0:12:59.080
<v Speaker 3>Hoover History Lab, and Ben Reinhart, the CEO of the

0:12:59.160 --> 0:13:03.480
<v Speaker 3>nonprofit in Industrial Research Labs Speculum Technologies, right in the

0:13:03.520 --> 0:13:07.960
<v Speaker 3>June issue of Bloomberg BusinessWeek magazine, American industry has certainly

0:13:08.240 --> 0:13:11.520
<v Speaker 3>seen better days, and it's never recovered to those levels.

0:13:12.000 --> 0:13:14.600
<v Speaker 3>They argue, though, that tariffs are not the solution to

0:13:14.679 --> 0:13:17.760
<v Speaker 3>revitalizing the sector. Ben, you have a tariff free menu

0:13:17.840 --> 0:13:20.640
<v Speaker 3>of policies that offer a sure path to revitalize in

0:13:20.760 --> 0:13:23.280
<v Speaker 3>US manufacturing. You and Dan, right before we get there,

0:13:23.679 --> 0:13:26.880
<v Speaker 3>explain for everybody what an industrial research lab is.

0:13:27.600 --> 0:13:30.760
<v Speaker 8>Well, so I like to describe it as we are.

0:13:31.080 --> 0:13:33.199
<v Speaker 9>We're a research lab in the sense that we are

0:13:33.240 --> 0:13:36.280
<v Speaker 9>working on trying to create new technologies. We're not working

0:13:36.320 --> 0:13:38.720
<v Speaker 9>on products, but at the same time, we're trying to

0:13:38.760 --> 0:13:41.439
<v Speaker 9>do research that is not just trying to discover the

0:13:41.480 --> 0:13:43.520
<v Speaker 9>secrets of the universe, but really.

0:13:43.679 --> 0:13:45.119
<v Speaker 8>Build useful technologies.

0:13:45.240 --> 0:13:47.800
<v Speaker 9>So that's sort of the line, like to think that

0:13:47.840 --> 0:13:49.800
<v Speaker 9>we're walking where it's like we're doing stuff that doesn't

0:13:49.840 --> 0:13:53.360
<v Speaker 9>make sense yet as a company, I wouldn't go to

0:13:53.360 --> 0:13:55.440
<v Speaker 9>an investor and say, you can make a bunch of money,

0:13:55.559 --> 0:13:58.040
<v Speaker 9>But we are nevertheless like trying to do things that.

0:13:58.000 --> 0:14:01.800
<v Speaker 8>Eventually will become useful. So thing the labs Xerox Park

0:14:02.000 --> 0:14:02.679
<v Speaker 8>that sort of.

0:14:02.640 --> 0:14:05.920
<v Speaker 3>Work very cool, So sort of a skunk works type

0:14:05.960 --> 0:14:10.000
<v Speaker 3>of thing, exactly pre product. Okay, you and Dan thought

0:14:10.000 --> 0:14:12.280
<v Speaker 3>a lot about have been thinking a lot about tariffs

0:14:12.320 --> 0:14:14.560
<v Speaker 3>and the way that the President has been trying to

0:14:14.600 --> 0:14:18.680
<v Speaker 3>revitalize American manufacturing. His love for tariffs is no secret.

0:14:18.960 --> 0:14:21.880
<v Speaker 3>We've known about it for many, many decades, but I

0:14:21.920 --> 0:14:25.040
<v Speaker 3>think perhaps it caught some investors off guard back in

0:14:25.080 --> 0:14:28.360
<v Speaker 3>April when he announced the reciprocal tariffs on so called

0:14:28.400 --> 0:14:32.160
<v Speaker 3>Liberation Day, you argue that there are better ways to

0:14:32.240 --> 0:14:35.680
<v Speaker 3>revive manufacturing in the US. You say, we should look

0:14:35.720 --> 0:14:36.800
<v Speaker 3>at what China has done.

0:14:37.480 --> 0:14:40.600
<v Speaker 9>Yeah, so there are two things in particular that they've

0:14:40.600 --> 0:14:44.320
<v Speaker 9>done that. So they've done many things, some of them

0:14:44.880 --> 0:14:47.000
<v Speaker 9>we don't think that we should copy. But there are

0:14:47.000 --> 0:14:50.240
<v Speaker 9>two in particular that I think are particularly worth looking at.

0:14:51.560 --> 0:14:55.240
<v Speaker 9>One of them is inviting in for an investment. Right,

0:14:55.320 --> 0:14:58.120
<v Speaker 9>so actually one of the ways that they built up

0:14:58.120 --> 0:15:03.960
<v Speaker 9>their manufacturing is inviting in foreign companies and uh, you know,

0:15:03.960 --> 0:15:07.440
<v Speaker 9>getting them to build factories there and sort of regardless

0:15:07.480 --> 0:15:10.240
<v Speaker 9>of your position on uh stealing technology, you.

0:15:10.240 --> 0:15:12.760
<v Speaker 8>Still build up a workforce that knows how to build those.

0:15:12.600 --> 0:15:15.720
<v Speaker 9>Things and then can go and uh, you know, build

0:15:15.720 --> 0:15:18.960
<v Speaker 9>that technology. So you can imagine inviting in Chinese companies

0:15:19.000 --> 0:15:22.680
<v Speaker 9>even who have now technologies that that we don't have,

0:15:23.080 --> 0:15:26.120
<v Speaker 9>and you then build up a workforce who knows how to, say,

0:15:26.160 --> 0:15:26.880
<v Speaker 9>make bad batteries.

0:15:27.000 --> 0:15:27.560
<v Speaker 8>So that's one.

0:15:27.960 --> 0:15:33.080
<v Speaker 9>Two is like industrial zones, right, So so you're the

0:15:33.320 --> 0:15:35.800
<v Speaker 9>most well known is Hinshen, but there are there are

0:15:35.840 --> 0:15:39.000
<v Speaker 9>many others where they to a large extent, UH, the

0:15:39.040 --> 0:15:43.480
<v Speaker 9>government took a very like hands hands off approach and

0:15:43.560 --> 0:15:46.240
<v Speaker 9>just said like okay, like within this zone, you can

0:15:46.360 --> 0:15:48.040
<v Speaker 9>basically do whatever you want.

0:15:49.120 --> 0:15:50.720
<v Speaker 8>There's there's a lot of nuance to that.

0:15:51.040 --> 0:15:55.040
<v Speaker 9>But right now we are it is extremely hard to

0:15:55.480 --> 0:15:57.600
<v Speaker 9>build new UH new factories.

0:15:58.160 --> 0:15:59.720
<v Speaker 3>I do want to push back a little bit on this.

0:15:59.800 --> 0:16:03.360
<v Speaker 3>My one experience in China back in twenty nineteen, before

0:16:03.400 --> 0:16:06.240
<v Speaker 3>the pandemic, I went to Shanghai. I know it's a

0:16:06.240 --> 0:16:08.760
<v Speaker 3>completely different place now, but one thing that struck me

0:16:08.840 --> 0:16:11.400
<v Speaker 3>was when the plane landed, I looked out the window

0:16:11.760 --> 0:16:13.360
<v Speaker 3>and it was the thick what I thought was the

0:16:13.400 --> 0:16:16.000
<v Speaker 3>thickest fog. It turned out it was pollution. My throat

0:16:16.040 --> 0:16:18.600
<v Speaker 3>was sore the entire time I was there. We couldn't

0:16:18.600 --> 0:16:21.840
<v Speaker 3>see out of our hotel room windows because we're on

0:16:21.920 --> 0:16:25.000
<v Speaker 3>like the fifteenth floor, and the air was too clogged

0:16:25.040 --> 0:16:28.000
<v Speaker 3>with pollution. As a result of some of the industrialization

0:16:28.040 --> 0:16:29.840
<v Speaker 3>that we're talking about here, Do we really want that

0:16:29.920 --> 0:16:30.440
<v Speaker 3>in the US?

0:16:30.800 --> 0:16:33.960
<v Speaker 9>I don't think it's an either or sort of thing.

0:16:34.800 --> 0:16:38.200
<v Speaker 9>Modern A lot of modern manufacturing technologies no longer produce

0:16:38.320 --> 0:16:43.040
<v Speaker 9>that sort of that sort of waste, and a lot

0:16:43.080 --> 0:16:45.560
<v Speaker 9>of the manufacturing that we're talking about doesn't do that,

0:16:46.240 --> 0:16:48.520
<v Speaker 9>and there are many many technologies for cleaning that up.

0:16:48.600 --> 0:16:51.960
<v Speaker 9>So you were seeing sort of the results of manufacturing

0:16:52.000 --> 0:16:55.120
<v Speaker 9>technologies from like the fifties and sixties, and so we're saying, like, Okay,

0:16:56.120 --> 0:16:58.680
<v Speaker 9>we're going to build technologies of the twenty first century,

0:16:58.680 --> 0:17:00.800
<v Speaker 9>which have many few side effects.

0:17:00.800 --> 0:17:02.960
<v Speaker 1>Ben, I gotta say, what's really cool is our Steve

0:17:03.040 --> 0:17:05.960
<v Speaker 1>Man of our Bloomberg Intelligence team and covers the auto sector,

0:17:06.000 --> 0:17:08.880
<v Speaker 1>and one of the things he has said recently to us,

0:17:08.880 --> 0:17:12.160
<v Speaker 1>because as we think about tiraffs and bringing manufacturing back home,

0:17:12.560 --> 0:17:14.520
<v Speaker 1>he said, one thing that China learned. I mean by

0:17:14.520 --> 0:17:17.960
<v Speaker 1>doing all that manufacturing, they actually developed some very sophisticated

0:17:17.960 --> 0:17:22.360
<v Speaker 1>technology that is now helping them to kind of operate

0:17:22.400 --> 0:17:24.679
<v Speaker 1>on a higher plane. And whether it's developed cart like

0:17:24.760 --> 0:17:27.200
<v Speaker 1>whatever have you. And I never thought about that. I

0:17:27.240 --> 0:17:30.040
<v Speaker 1>guess I thought about bringing manufacturing back home. Do we

0:17:30.080 --> 0:17:32.119
<v Speaker 1>really want to be making T shirts and sneakers? But

0:17:32.200 --> 0:17:35.160
<v Speaker 1>that's not what it's about. It's about they've become very

0:17:35.200 --> 0:17:38.960
<v Speaker 1>sophisticated with technology because of the automation and all of

0:17:39.000 --> 0:17:40.240
<v Speaker 1>the manufacturing they've been doing.

0:17:40.359 --> 0:17:42.600
<v Speaker 8>Oh yeah, couldn't agree. More.

0:17:43.520 --> 0:17:47.399
<v Speaker 9>Manufacturing and new technology and research really go hand in hand.

0:17:47.880 --> 0:17:50.160
<v Speaker 9>You can't have one without another, honestly, that's That's one

0:17:50.160 --> 0:17:51.960
<v Speaker 9>of the reasons why I'm such a big proponent of

0:17:52.840 --> 0:17:54.280
<v Speaker 9>manufacturing is because.

0:17:54.040 --> 0:17:54.960
<v Speaker 1>We always put that together.

0:17:55.040 --> 0:17:55.320
<v Speaker 5>Yeah.

0:17:55.400 --> 0:17:59.880
<v Speaker 9>Yeah, it's like the best technologies, the best research comes

0:17:59.880 --> 0:18:03.719
<v Speaker 9>from noticing a problem on an actual manufacturing line, right,

0:18:03.760 --> 0:18:05.960
<v Speaker 9>Like going back to us being an industrial research labet,

0:18:05.960 --> 0:18:09.200
<v Speaker 9>the point is to notice, oh, there's this actual, real

0:18:09.240 --> 0:18:11.520
<v Speaker 9>problem in the world, and we need to do research

0:18:11.560 --> 0:18:12.000
<v Speaker 9>to fix it.

0:18:12.080 --> 0:18:14.760
<v Speaker 1>I think it's pretty well so is President Trump bright

0:18:14.880 --> 0:18:18.880
<v Speaker 1>in terms of encouraging companies outside the United States, even

0:18:18.920 --> 0:18:22.320
<v Speaker 1>American companies to start investing more here.

0:18:23.240 --> 0:18:25.080
<v Speaker 8>Along that axis.

0:18:25.280 --> 0:18:31.640
<v Speaker 9>Yes, I think I will not unequivocally agree with with everything.

0:18:31.480 --> 0:18:34.440
<v Speaker 1>But encouraging for it. And as many have said to us,

0:18:34.760 --> 0:18:36.520
<v Speaker 1>you know, there are commitments and then you'll see whether

0:18:36.560 --> 0:18:39.320
<v Speaker 1>or not those commitments, which are often multi year commitments.

0:18:39.320 --> 0:18:41.880
<v Speaker 1>And also you can't just build a factory overnight, right

0:18:42.080 --> 0:18:44.840
<v Speaker 1>or a facility, but we'll see over time whether or

0:18:44.880 --> 0:18:45.960
<v Speaker 1>not this actually happens.

0:18:46.080 --> 0:18:47.240
<v Speaker 8>Yeah, I think so.

0:18:48.359 --> 0:18:51.400
<v Speaker 9>I think that it would ideally be done with carrots

0:18:51.440 --> 0:18:52.200
<v Speaker 9>and not sticks.

0:18:53.320 --> 0:18:54.760
<v Speaker 8>But yes, I think that.

0:18:54.800 --> 0:18:56.840
<v Speaker 1>The message, right, but maybe not the mode. Yeah exactly,

0:18:56.880 --> 0:18:57.680
<v Speaker 1>is it at least your review?

0:18:57.800 --> 0:19:01.240
<v Speaker 3>Yeah, okay, So that's one way to be thinking about

0:19:01.240 --> 0:19:04.560
<v Speaker 3>this study China. I want to talk a little bit

0:19:04.880 --> 0:19:08.400
<v Speaker 3>about some other solutions that you have preserving the strengths

0:19:08.400 --> 0:19:11.199
<v Speaker 3>that America already has. Talk a little bit about what

0:19:11.240 --> 0:19:11.720
<v Speaker 3>you mean by that.

0:19:12.000 --> 0:19:16.720
<v Speaker 9>Yeah, So, you know, America has a lot of strengths

0:19:16.720 --> 0:19:20.119
<v Speaker 9>that I feel like, like literally today we are uh,

0:19:20.600 --> 0:19:24.960
<v Speaker 9>sort of throwing away right, Like we have this amazing

0:19:25.000 --> 0:19:27.560
<v Speaker 9>ability to attract talent from all over the world.

0:19:27.760 --> 0:19:30.840
<v Speaker 3>And if the universities let them in.

0:19:31.080 --> 0:19:35.000
<v Speaker 9>Yeah exactly, and and the universities and in immigration right like,

0:19:35.240 --> 0:19:36.800
<v Speaker 9>so historically.

0:19:36.280 --> 0:19:38.840
<v Speaker 3>In all seriousness, I'm not bringing that up facetiously, I'm

0:19:38.880 --> 0:19:41.679
<v Speaker 3>saying that that is at risk right now given the

0:19:41.800 --> 0:19:42.920
<v Speaker 3>different rules that we've seen.

0:19:42.960 --> 0:19:43.800
<v Speaker 8>Oh yeah exactly.

0:19:43.840 --> 0:19:47.200
<v Speaker 9>And so so our point is like, don't like, don't

0:19:47.240 --> 0:19:50.879
<v Speaker 9>stop like that's that is really and that is a

0:19:50.960 --> 0:19:54.080
<v Speaker 9>unique strength of ours, right, Like, China doesn't attract global

0:19:54.080 --> 0:19:57.280
<v Speaker 9>talent in the same way that we do. And again

0:19:57.720 --> 0:20:00.959
<v Speaker 9>in our our university and research system. Also, so you know,

0:20:01.040 --> 0:20:04.720
<v Speaker 9>you've seen the all like the cuts to NSF and

0:20:04.760 --> 0:20:08.040
<v Speaker 9>NIH and NASA and the list goes on. And you know,

0:20:08.240 --> 0:20:11.800
<v Speaker 9>our research ecosystem is the envy of the world, and

0:20:12.320 --> 0:20:15.960
<v Speaker 9>we shouldn't, you know, keep keep that the case.

0:20:16.080 --> 0:20:18.240
<v Speaker 1>What do you say to folks who say, listen, okay,

0:20:18.280 --> 0:20:20.639
<v Speaker 1>you've got something like an IVY League that has an

0:20:20.680 --> 0:20:26.280
<v Speaker 1>incredibly large endowment, So why does the government US government

0:20:26.320 --> 0:20:27.960
<v Speaker 1>need to give them money to do R and D?

0:20:28.480 --> 0:20:30.679
<v Speaker 1>So what's what's the argument to that? What you know,

0:20:30.960 --> 0:20:32.000
<v Speaker 1>are you going to give it? Give it to you

0:20:32.080 --> 0:20:35.760
<v Speaker 1>and maybe another organization that needs it. More like, what's

0:20:35.800 --> 0:20:38.520
<v Speaker 1>the argument for continuing for federal money to go to

0:20:38.600 --> 0:20:42.719
<v Speaker 1>some of these massive, well known institutions, academic institutions.

0:20:42.880 --> 0:20:44.920
<v Speaker 9>Yeah, so there's a lot of nuance that we can't

0:20:44.920 --> 0:20:48.800
<v Speaker 9>get into here. I think that they're like rethinking where

0:20:48.840 --> 0:20:52.439
<v Speaker 9>the money, like where government R and D money goes. Yeah,

0:20:52.480 --> 0:20:55.720
<v Speaker 9>definitely another conversation for another time. But just like as

0:20:55.760 --> 0:20:59.199
<v Speaker 9>things stand now, like the money should go to the

0:20:59.200 --> 0:21:01.919
<v Speaker 9>best researchers, Like the best research is going to come

0:21:01.920 --> 0:21:02.679
<v Speaker 9>for the best research.

0:21:02.960 --> 0:21:05.280
<v Speaker 8>Research is like very much a power law.

0:21:05.160 --> 0:21:08.560
<v Speaker 9>Distributed thing, and for better or for worse, the best

0:21:08.600 --> 0:21:12.440
<v Speaker 9>researchers are at places like Harvard, and so that would

0:21:12.440 --> 0:21:13.720
<v Speaker 9>be my argument for it.

0:21:14.080 --> 0:21:17.720
<v Speaker 3>Then what do you see the risks to US manufacturing

0:21:17.800 --> 0:21:21.000
<v Speaker 3>or to the US economy if the United States continues

0:21:21.080 --> 0:21:22.359
<v Speaker 3>with this tariff program?

0:21:22.960 --> 0:21:27.680
<v Speaker 9>I mean I see just like US manufacturing, like it's

0:21:27.720 --> 0:21:32.000
<v Speaker 9>not going to necessarily make manufacturing better, right, Like, I

0:21:32.040 --> 0:21:35.240
<v Speaker 9>don't think it's actually going to achieve the aims. You see,

0:21:35.800 --> 0:21:40.000
<v Speaker 9>because so many of the parts that people that manufacturers

0:21:40.000 --> 0:21:42.400
<v Speaker 9>depend on are are coming from overseas and are being

0:21:42.400 --> 0:21:46.640
<v Speaker 9>heavily tariffed, and so like you're already seeing like manufacturers

0:21:46.720 --> 0:21:53.440
<v Speaker 9>of CNC machines getting completely hosed by by the tariffs,

0:21:53.760 --> 0:21:57.720
<v Speaker 9>and so I just see like manufacturing as an industry

0:21:57.760 --> 0:22:00.439
<v Speaker 9>being directly hurt by let alone helped.

0:22:01.320 --> 0:22:04.200
<v Speaker 1>Yeah, I think it's kind of you know, who knows

0:22:04.200 --> 0:22:09.200
<v Speaker 1>where this goes, right ultimately, But I think like understanding

0:22:09.200 --> 0:22:14.280
<v Speaker 1>the impact that immigrants are immigration and bringing folks in

0:22:14.320 --> 0:22:16.720
<v Speaker 1>from other countries, whether it's in high skilled or low

0:22:16.720 --> 0:22:20.800
<v Speaker 1>skilled jobs, like has an economic impact, right, and it

0:22:20.840 --> 0:22:24.480
<v Speaker 1>pays off in many different ways or tends to absolutely.

0:22:24.560 --> 0:22:28.879
<v Speaker 8>I mean you just like I interact with a lot

0:22:28.920 --> 0:22:29.560
<v Speaker 8>of researchers.

0:22:29.600 --> 0:22:35.560
<v Speaker 9>You look at who is getting stem PhDs, who's doing

0:22:35.680 --> 0:22:40.080
<v Speaker 9>researching like hard science and technology, and it's the vast

0:22:40.080 --> 0:22:42.000
<v Speaker 9>majority of people are are not from the US.

0:22:42.080 --> 0:22:44.399
<v Speaker 1>How do you think about all of this with something

0:22:44.400 --> 0:22:47.119
<v Speaker 1>that is going to be obviously a big deal? And

0:22:47.160 --> 0:22:49.680
<v Speaker 1>I'm thinking about artificial intelligence and I think about deep

0:22:49.720 --> 0:22:52.400
<v Speaker 1>seek And when that news came out, we all were like, oh,

0:22:52.720 --> 0:22:55.119
<v Speaker 1>you know, China is they're moving ahead?

0:22:55.440 --> 0:22:59.880
<v Speaker 9>Yeah, I think the argument is across all of it. Right,

0:23:00.400 --> 0:23:03.320
<v Speaker 9>you want, like, ideally it would be great for some

0:23:03.359 --> 0:23:05.560
<v Speaker 9>of the people who developed deep seat to want to

0:23:05.600 --> 0:23:08.720
<v Speaker 9>come to the US and do work here, right, And again,

0:23:08.880 --> 0:23:12.119
<v Speaker 9>you look at who is actually working at these AI

0:23:12.160 --> 0:23:14.800
<v Speaker 9>companies and there's people from all across the world, Like

0:23:14.840 --> 0:23:18.880
<v Speaker 9>I have friends there there, and like, you know, people

0:23:18.920 --> 0:23:21.000
<v Speaker 9>who came up with a lot of the algorithms that

0:23:21.040 --> 0:23:24.560
<v Speaker 9>the US AI companies are using are not American. And

0:23:24.600 --> 0:23:27.280
<v Speaker 9>so again this is just like example after example of

0:23:27.359 --> 0:23:29.840
<v Speaker 9>our strength is our ability to pull in these talented people.

0:23:29.920 --> 0:23:34.000
<v Speaker 3>Thirty seconds. Are you optimistic or pessimistic that some of

0:23:34.000 --> 0:23:35.040
<v Speaker 3>this stuff will be adopted?

0:23:35.520 --> 0:23:38.840
<v Speaker 9>I am I am pessimistic, but I am optimistic that

0:23:38.840 --> 0:23:39.639
<v Speaker 9>that can change.

0:23:40.080 --> 0:23:41.800
<v Speaker 1>But if we don't get this right, big deal.

0:23:41.880 --> 0:23:43.600
<v Speaker 8>Big deal, meaning the.

0:23:43.640 --> 0:23:46.760
<v Speaker 1>US economy, meaning the US role in the world, or.

0:23:46.840 --> 0:23:48.760
<v Speaker 8>Yeah, I think all of the above.

0:23:49.440 --> 0:23:54.080
<v Speaker 9>I think that you could really see us, like honestly

0:23:54.359 --> 0:23:57.280
<v Speaker 9>on some kind of like some kind of decline, some

0:23:57.400 --> 0:24:00.440
<v Speaker 9>kind of like becoming like ming China or and after

0:24:00.440 --> 0:24:01.520
<v Speaker 9>they close themselves off.

0:24:01.920 --> 0:24:03.800
<v Speaker 1>We're gonna leave it on that, though. I'm sure we'll

0:24:03.800 --> 0:24:06.919
<v Speaker 1>come back to you. Definitely certainly something to get us

0:24:06.920 --> 0:24:09.360
<v Speaker 1>all thinking. Ben rein Hart. He's Bloomberg Business Week contributing

0:24:09.400 --> 0:24:11.800
<v Speaker 1>writer and see you have speculative technologies.

0:24:13.720 --> 0:24:17.560
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:24:17.680 --> 0:24:20.879
<v Speaker 2>each weekday starting at two pm Eastern up on Applecarplay

0:24:21.000 --> 0:24:23.639
<v Speaker 2>and the Android Auto with the Bloomberg Business App. You

0:24:23.640 --> 0:24:26.840
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:24:26.920 --> 0:24:30.480
<v Speaker 2>New York station, Just Say Alexa played Bloomberg eleven thirty.

0:24:31.320 --> 0:24:33.800
<v Speaker 1>All right, So we've talked a lot about the booming

0:24:33.800 --> 0:24:37.480
<v Speaker 1>demand for electricity in the United States, power and the

0:24:37.560 --> 0:24:41.440
<v Speaker 1>need to seek alternative sources of energy. One solution policymakers

0:24:41.480 --> 0:24:43.720
<v Speaker 1>from both sides of the aisle continue to look at

0:24:43.840 --> 0:24:45.680
<v Speaker 1>I feel like the world is all looking at it.

0:24:45.880 --> 0:24:47.399
<v Speaker 1>We're talking about nuclear.

0:24:47.240 --> 0:24:50.280
<v Speaker 3>Bloomberg reported last year that then President Joe Biden laid

0:24:50.280 --> 0:24:53.800
<v Speaker 3>out plans to triple nuclear power capacity by twenty fifty.

0:24:53.920 --> 0:24:54.760
<v Speaker 5>Then a few weeks.

0:24:54.560 --> 0:24:57.400
<v Speaker 3>Back, President Trumps signed an order meant to quadruple US

0:24:57.560 --> 0:25:01.200
<v Speaker 3>nuclear capacity, with plans to get ten large reactors under

0:25:01.200 --> 0:25:04.520
<v Speaker 3>construction by twenty thirty. Needless to say, the US is

0:25:04.640 --> 0:25:06.600
<v Speaker 3>really trying to get its nuclear groove.

0:25:06.400 --> 0:25:09.960
<v Speaker 1>Back, and with that a surgeon demand for nuclear reactor

0:25:10.080 --> 0:25:14.359
<v Speaker 1>equipment that stands to benefit one East Asian nation and folks, Nope,

0:25:14.400 --> 0:25:18.560
<v Speaker 1>it's not China, not Japan, not Russia, but rather the

0:25:18.600 --> 0:25:19.840
<v Speaker 1>small country.

0:25:19.440 --> 0:25:23.160
<v Speaker 3>Of South Korea. Writing all this for Bloomberg Business Week

0:25:23.240 --> 0:25:26.280
<v Speaker 3>is Bloomberg News energy reporter Will Wade. He toured South

0:25:26.320 --> 0:25:29.760
<v Speaker 3>Korea nuclear manufacturing plants while on assignment in Asia earlier

0:25:29.840 --> 0:25:32.760
<v Speaker 3>this year. He joined me alongside Ami Grafeo.

0:25:33.040 --> 0:25:36.080
<v Speaker 10>Yeah, they sent me to Tokyo for three months. It

0:25:36.119 --> 0:25:38.640
<v Speaker 10>was a job swap program at Bloomberg. I highly recommended

0:25:38.680 --> 0:25:41.560
<v Speaker 10>if you get the opportunity. But I also did spend

0:25:41.560 --> 0:25:44.720
<v Speaker 10>a week reporting all up and down South Korea to

0:25:44.760 --> 0:25:47.200
<v Speaker 10>see their nuclear industry, and that's what we wrote about

0:25:47.200 --> 0:25:47.880
<v Speaker 10>for this story.

0:25:48.200 --> 0:25:50.520
<v Speaker 3>Yeah, you wouldn't the team crunch the numbers so Bloomberg

0:25:50.560 --> 0:25:53.520
<v Speaker 3>BusinessWeek analysis of the more than four hundred planned and

0:25:53.520 --> 0:25:58.320
<v Speaker 3>proposed nuclear reactors around the world show that South Korea

0:25:58.400 --> 0:26:01.280
<v Speaker 3>is positioned to win business with his as forty three

0:26:01.320 --> 0:26:03.800
<v Speaker 3>percent of them. So it sets the country up you

0:26:03.840 --> 0:26:05.480
<v Speaker 3>and the team right yes, to become one of the

0:26:05.480 --> 0:26:09.280
<v Speaker 3>biggest exporters of atomic tech over the next decade. Why

0:26:09.359 --> 0:26:11.639
<v Speaker 3>is South Korea doing this so well?

0:26:11.840 --> 0:26:12.000
<v Speaker 7>So?

0:26:12.040 --> 0:26:14.639
<v Speaker 10>The thing about South Korea is they built their first

0:26:14.680 --> 0:26:17.679
<v Speaker 10>reactor in the seventies. They've got twenty six now. They

0:26:17.760 --> 0:26:20.560
<v Speaker 10>just never stopped building them. They've been doing this for

0:26:20.640 --> 0:26:24.440
<v Speaker 10>decades NonStop. I mean, you think about nuclear you probably

0:26:24.440 --> 0:26:26.280
<v Speaker 10>think about the US because we invented it. We have

0:26:26.320 --> 0:26:28.080
<v Speaker 10>more reactors here than anyone else.

0:26:28.160 --> 0:26:30.600
<v Speaker 3>We do we don't. Yeah, well for a little bit.

0:26:30.680 --> 0:26:32.880
<v Speaker 10>China is going to pass us probably by twenty thirty.

0:26:32.960 --> 0:26:36.640
<v Speaker 3>Wait more operating reacts. We're currently operating reactors. Wow.

0:26:36.840 --> 0:26:37.159
<v Speaker 5>Yeah.

0:26:37.240 --> 0:26:39.720
<v Speaker 10>And also you might think about France. It's the most

0:26:39.800 --> 0:26:42.520
<v Speaker 10>nuclear powered country on Earth. They get like seventy percent

0:26:42.600 --> 0:26:46.439
<v Speaker 10>of their power from electricity. But in the US the

0:26:46.480 --> 0:26:50.280
<v Speaker 10>industry pretty much just stopped after three Mile Islands seventy nine.

0:26:50.320 --> 0:26:55.760
<v Speaker 10>We lost that expertise of building power plants. France, similar story.

0:26:56.280 --> 0:26:59.280
<v Speaker 10>After Chernobyl there was a lot of public opposition to

0:26:59.359 --> 0:27:02.679
<v Speaker 10>nuclear power or they also kind of halted the industry

0:27:02.720 --> 0:27:05.680
<v Speaker 10>for a while, and it's tough to come back once

0:27:05.760 --> 0:27:09.479
<v Speaker 10>you stop that. Meanwhile, Korea just kept building them and

0:27:09.520 --> 0:27:12.040
<v Speaker 10>building them and building them. They only were building them

0:27:12.440 --> 0:27:15.920
<v Speaker 10>in Korea, but they've got that expertise. They just never

0:27:16.200 --> 0:27:20.960
<v Speaker 10>stopped the industry. And then about two thousand and nine

0:27:21.000 --> 0:27:24.719
<v Speaker 10>they won this huge contract to do four reactors in

0:27:24.760 --> 0:27:27.719
<v Speaker 10>the United Arab Emirates and they did it. They did

0:27:27.800 --> 0:27:32.440
<v Speaker 10>it on time, they did it on budget. Meanwhile, here

0:27:32.440 --> 0:27:35.080
<v Speaker 10>in the US we finally finished a new project last year.

0:27:35.119 --> 0:27:39.960
<v Speaker 10>It was like massively over budget, massively late. France just

0:27:40.040 --> 0:27:44.600
<v Speaker 10>opened a new reactor last year, massively late, massively over budget.

0:27:44.640 --> 0:27:48.200
<v Speaker 10>They're doing one in England, massively late, massively over budget.

0:27:49.680 --> 0:27:52.520
<v Speaker 10>It's a theme. And meanwhile people are like, wait, who

0:27:52.560 --> 0:27:56.240
<v Speaker 10>did that project in the UAE. Who pulled that off nicely?

0:27:56.720 --> 0:28:00.439
<v Speaker 10>The South Koreans, So now they're getting a lot of attention.

0:28:00.600 --> 0:28:03.320
<v Speaker 10>They just got awarded a contract last year in the

0:28:03.359 --> 0:28:06.240
<v Speaker 10>Czech Republic. It's not finalized yet, so that it's not

0:28:06.880 --> 0:28:10.840
<v Speaker 10>a done, done deal. But when the Czechs looked around,

0:28:10.880 --> 0:28:13.320
<v Speaker 10>They're all like, let's go with the Korean beas everyone

0:28:13.359 --> 0:28:15.240
<v Speaker 10>thought the French were going to get the deal, but nope,

0:28:15.240 --> 0:28:18.119
<v Speaker 10>they went with the Koreans because they've got this reputation

0:28:18.320 --> 0:28:20.199
<v Speaker 10>for just doing it right these days.

0:28:20.560 --> 0:28:23.520
<v Speaker 11>So what we're mainly talking about most of the business

0:28:23.760 --> 0:28:28.600
<v Speaker 11>is manufacturing the parts for reactors in South Korea and

0:28:28.640 --> 0:28:31.760
<v Speaker 11>then they export them to other countries. No, also building

0:28:31.800 --> 0:28:34.080
<v Speaker 11>plants that are stationed in South Korea.

0:28:34.200 --> 0:28:37.400
<v Speaker 10>That's another part of the whole thing we're talking about everything.

0:28:38.000 --> 0:28:41.640
<v Speaker 10>They manufacture the parts in South Korea, they've got companies

0:28:41.680 --> 0:28:45.440
<v Speaker 10>that build them wherever in Korea, in the UAE and

0:28:45.480 --> 0:28:50.080
<v Speaker 10>the Czech Republic, they got their own homegrown design now,

0:28:50.560 --> 0:28:54.880
<v Speaker 10>so it's really beginning to end. Everyone in Korea works together.

0:28:54.960 --> 0:28:56.800
<v Speaker 10>They call it the Team Korea approach.

0:28:57.440 --> 0:29:00.280
<v Speaker 3>Do you think we're going to here in the US

0:29:00.600 --> 0:29:03.959
<v Speaker 3>start using Team America?

0:29:04.320 --> 0:29:04.600
<v Speaker 5>Yeah?

0:29:04.600 --> 0:29:08.560
<v Speaker 3>Well, I mean if they can do it under budget

0:29:08.600 --> 0:29:10.400
<v Speaker 3>and on time or on budget and on time and

0:29:10.440 --> 0:29:14.680
<v Speaker 3>we can't, can we outsource this? Can companies in the US?

0:29:15.480 --> 0:29:16.680
<v Speaker 8>Are the Koreans to do it here?

0:29:16.880 --> 0:29:17.240
<v Speaker 5>Yeah?

0:29:18.400 --> 0:29:20.320
<v Speaker 3>Like how are they doing how are they doing projects

0:29:20.320 --> 0:29:23.080
<v Speaker 3>for the Czech Republic. How are they doing projects for

0:29:23.840 --> 0:29:24.560
<v Speaker 3>other countries?

0:29:25.240 --> 0:29:28.640
<v Speaker 10>You know, like the whole export industry for nuclear is

0:29:28.640 --> 0:29:31.280
<v Speaker 10>a big thing. I mean, the Americans are trying to

0:29:31.280 --> 0:29:36.320
<v Speaker 10>export American technology around the world, the French, everybody wants.

0:29:36.160 --> 0:29:41.560
<v Speaker 10>It's not just a company selling things. It's a diplomatic thing.

0:29:41.720 --> 0:29:47.120
<v Speaker 10>It's a decades long relationship with servicing and fueling. So

0:29:47.160 --> 0:29:52.200
<v Speaker 10>it really is a diplomatic relationship to get into business

0:29:52.240 --> 0:29:56.440
<v Speaker 10>doing nuclear power for companies. So that's why, in fact,

0:29:56.480 --> 0:30:01.120
<v Speaker 10>that's why we're starting to say less Russian and in

0:30:01.200 --> 0:30:03.560
<v Speaker 10>other parts of the world they're a little reluctant to

0:30:03.600 --> 0:30:06.880
<v Speaker 10>work with them, and the Korean they're kind of seems

0:30:06.920 --> 0:30:07.640
<v Speaker 10>like more neutral.

0:30:07.800 --> 0:30:09.840
<v Speaker 11>I feel like I have to ask the next natural

0:30:09.920 --> 0:30:14.560
<v Speaker 11>question would be about tariffs and potentially the United States

0:30:14.640 --> 0:30:19.880
<v Speaker 11>is pushed towards deglobalization. Does that impact the nuclear supply

0:30:20.040 --> 0:30:22.560
<v Speaker 11>chain at all? And is that an issue for South Korea?

0:30:22.760 --> 0:30:23.400
<v Speaker 8>Not as much.

0:30:24.840 --> 0:30:27.360
<v Speaker 10>It's not so much an issue when South Korea wants

0:30:27.400 --> 0:30:30.960
<v Speaker 10>to do business with anyone, but the US. I did

0:30:31.000 --> 0:30:33.360
<v Speaker 10>talk to a company there that's working on a project

0:30:33.440 --> 0:30:35.240
<v Speaker 10>here and they told us, yeah, it's going to make

0:30:35.240 --> 0:30:38.719
<v Speaker 10>that project in Michigan more expensive. It's going to make

0:30:38.760 --> 0:30:42.680
<v Speaker 10>electricity more expensive for Michigan people because the parts are

0:30:42.680 --> 0:30:43.640
<v Speaker 10>coming from Korea.

0:30:44.360 --> 0:30:46.800
<v Speaker 3>Emily was talking a little bit earlier about in this

0:30:46.880 --> 0:30:50.400
<v Speaker 3>story the supply chain and this network effect of being

0:30:50.440 --> 0:30:57.320
<v Speaker 3>able to effectively build these reactors in Korea. What allows

0:30:57.400 --> 0:30:58.280
<v Speaker 3>the country to do this?

0:30:58.480 --> 0:30:58.560
<v Speaker 5>Like?

0:30:58.600 --> 0:30:59.560
<v Speaker 3>What are they doing right?

0:31:00.960 --> 0:31:04.400
<v Speaker 10>They collaborate really well and it starts at the top.

0:31:04.480 --> 0:31:08.120
<v Speaker 3>What do you attribute that to though? Is it organizational?

0:31:08.360 --> 0:31:12.960
<v Speaker 3>Is it cultural? Is it based on a history of

0:31:13.200 --> 0:31:15.480
<v Speaker 3>the way that companies have worked together.

0:31:15.920 --> 0:31:17.880
<v Speaker 10>I think it's I think it's kind of all of that.

0:31:18.000 --> 0:31:22.160
<v Speaker 10>I think there's some cultural things. I think partly it's

0:31:22.840 --> 0:31:26.080
<v Speaker 10>you know, they have these the chabels, these huge conglomerates

0:31:26.120 --> 0:31:27.480
<v Speaker 10>that make everything like.

0:31:27.400 --> 0:31:29.360
<v Speaker 3>A Samsung for example, Samsung LG.

0:31:29.600 --> 0:31:32.480
<v Speaker 10>Hyundai actually is the company that I've talked to a

0:31:32.480 --> 0:31:36.480
<v Speaker 10>couple of different units of Hyundai here, So they're used

0:31:36.520 --> 0:31:39.880
<v Speaker 10>to sort of all being the same corporate umbrella, even

0:31:39.920 --> 0:31:43.080
<v Speaker 10>if they're different companies, and there's not that many of them,

0:31:43.160 --> 0:31:46.760
<v Speaker 10>so they've been working together for decades. I think it

0:31:46.800 --> 0:31:50.640
<v Speaker 10>may be helped that it's a smaller country, it's easier

0:31:50.640 --> 0:31:51.400
<v Speaker 10>to manage things.

0:31:51.760 --> 0:31:54.520
<v Speaker 1>The United States is quite large. It just did a

0:31:54.560 --> 0:31:55.520
<v Speaker 1>transatlantic flight.

0:31:56.120 --> 0:31:56.760
<v Speaker 8>It was long.

0:31:57.800 --> 0:32:00.760
<v Speaker 11>You were actually in South Korea. How close did you

0:32:00.840 --> 0:32:04.040
<v Speaker 11>get to the manufacturing plant?

0:32:04.080 --> 0:32:05.960
<v Speaker 1>Did you go to go inside? Yeah?

0:32:06.000 --> 0:32:06.280
<v Speaker 5>We went.

0:32:06.360 --> 0:32:08.600
<v Speaker 3>I went, you're not glowing, so that's a good sign.

0:32:08.760 --> 0:32:12.360
<v Speaker 10>Well, so I went to this factory in Changwan. It's

0:32:12.480 --> 0:32:14.760
<v Speaker 10>this all the way down on the south that's near Busan,

0:32:15.360 --> 0:32:18.640
<v Speaker 10>And we went to this factory. It's operated by a

0:32:18.640 --> 0:32:21.080
<v Speaker 10>company called Douson, and they've got this thing is called

0:32:21.080 --> 0:32:25.880
<v Speaker 10>a forging press where they take red hot chunks of

0:32:25.960 --> 0:32:30.680
<v Speaker 10>glowing steel and just squid pound them into shape. And

0:32:30.720 --> 0:32:34.240
<v Speaker 10>they use this to make the big reactor vessels for

0:32:34.360 --> 0:32:36.800
<v Speaker 10>nuclear power plants, but they do everything else. I mean

0:32:36.800 --> 0:32:39.640
<v Speaker 10>when I was there, they were making the propeller shaft

0:32:40.040 --> 0:32:42.800
<v Speaker 10>for a cargo ship. And it must have been like

0:32:42.880 --> 0:32:49.080
<v Speaker 10>what like four feet wide and like maybe fifty meters long,

0:32:49.880 --> 0:32:53.920
<v Speaker 10>and it was red hot, glowing steel like a thousand degrees.

0:32:54.000 --> 0:32:57.440
<v Speaker 10>I could feel the heat from fifty feet away in

0:32:57.520 --> 0:32:59.840
<v Speaker 10>another room through an observation glass.

0:33:00.280 --> 0:33:00.480
<v Speaker 5>Wow.

0:33:00.680 --> 0:33:04.600
<v Speaker 10>And they're just pressing on it with like hundreds of

0:33:05.080 --> 0:33:06.640
<v Speaker 10>thousands of tons of pressure.

0:33:07.360 --> 0:33:09.480
<v Speaker 3>Well, I mentioned that you were in Japan for the

0:33:09.560 --> 0:33:12.360
<v Speaker 3>last three months. Yeah, let's talk a little bit about that.

0:33:12.440 --> 0:33:14.520
<v Speaker 3>In the state of nuclear power in Japan. I think

0:33:14.520 --> 0:33:17.600
<v Speaker 3>people at least you know, of a certain age might

0:33:17.640 --> 0:33:20.760
<v Speaker 3>think of nuclear power in Japan and think immediately of Fukushima,

0:33:21.040 --> 0:33:23.840
<v Speaker 3>But what is the state of nuclear power nuclear energy

0:33:23.880 --> 0:33:24.720
<v Speaker 3>in the country.

0:33:25.120 --> 0:33:28.680
<v Speaker 10>So the story in like at starting after like twenty twelve,

0:33:29.080 --> 0:33:33.040
<v Speaker 10>like right after the twenty eleven Fukushima disaster, was very simple,

0:33:33.280 --> 0:33:36.560
<v Speaker 10>no nuclear power. They used to get about a third

0:33:36.600 --> 0:33:40.440
<v Speaker 10>of their electricity from nuclear and after that disaster they

0:33:40.480 --> 0:33:43.880
<v Speaker 10>shut all of it down, which was really kind of

0:33:43.880 --> 0:33:49.080
<v Speaker 10>a problem for their electricity system. They've gradually been restarting them.

0:33:49.120 --> 0:33:52.120
<v Speaker 10>I think they have about like fourteen up and running now.

0:33:53.320 --> 0:33:57.960
<v Speaker 10>There's they're working toward restart some of the others. But

0:33:58.240 --> 0:34:04.720
<v Speaker 10>as you pointed out, there there's strong public opposition. It's

0:34:05.360 --> 0:34:07.640
<v Speaker 10>and you know, here in America you get a lot

0:34:07.680 --> 0:34:11.840
<v Speaker 10>of public opposition and nuclear power from some environmental activist groups.

0:34:12.040 --> 0:34:14.880
<v Speaker 10>It's much stronger in Japan. And you know, they're the

0:34:14.880 --> 0:34:17.120
<v Speaker 10>ones that'll say, hey, we've got a real reason to

0:34:17.160 --> 0:34:20.920
<v Speaker 10>be concerned about this. It's not just theoretical in Japan,

0:34:21.040 --> 0:34:23.920
<v Speaker 10>so people feel it very strongly. But you know what

0:34:24.560 --> 0:34:27.200
<v Speaker 10>I met with some college kids there and they were

0:34:27.239 --> 0:34:33.239
<v Speaker 10>like super pro nuclear kids in Japan. They called themselves

0:34:33.280 --> 0:34:35.960
<v Speaker 10>like nuclear youth advocates. I'm still working on a story

0:34:36.000 --> 0:34:39.239
<v Speaker 10>about these guys, but they were just really enthusiastic, and

0:34:39.239 --> 0:34:42.160
<v Speaker 10>I'm like, you know, not everyone in the country feels

0:34:42.200 --> 0:34:42.600
<v Speaker 10>this way.

0:34:42.680 --> 0:34:44.839
<v Speaker 3>And they're like, oh, we know, we know. Are these

0:34:44.920 --> 0:34:47.440
<v Speaker 3>kids like maybe they're twenty twenty one years old, so

0:34:47.600 --> 0:34:49.320
<v Speaker 3>back in twenty eleven.

0:34:49.200 --> 0:34:50.440
<v Speaker 8>Right, they were like in grade school?

0:34:50.480 --> 0:34:51.880
<v Speaker 5>Yeah, remember it?

0:34:51.920 --> 0:34:53.240
<v Speaker 3>But okay, that's interesting.

0:34:53.400 --> 0:34:55.680
<v Speaker 10>Yeah, they were like, yeah, I remember when my dad

0:34:55.680 --> 0:34:57.440
<v Speaker 10>put on the TV when that happened, he said, this

0:34:57.520 --> 0:34:59.479
<v Speaker 10>is important. I'm like, okay, but I wanted to watch

0:34:59.480 --> 0:34:59.880
<v Speaker 10>mi anime.

0:35:01.160 --> 0:35:04.440
<v Speaker 11>And then like, culturally in South Korea, did you feel

0:35:04.520 --> 0:35:08.000
<v Speaker 11>like there was a stigma or there was Generally it

0:35:08.040 --> 0:35:09.160
<v Speaker 11>was there was more acceptance, So.

0:35:09.200 --> 0:35:10.640
<v Speaker 8>Yeah, absolutely, energy.

0:35:11.120 --> 0:35:13.239
<v Speaker 10>Yeah, I mean Korea still gets I think this is

0:35:13.400 --> 0:35:16.400
<v Speaker 10>like sixty percent of its power from fossil fuels, and

0:35:16.520 --> 0:35:20.399
<v Speaker 10>Japan it's very heavily fossil fuel powered as well, so

0:35:21.040 --> 0:35:25.200
<v Speaker 10>they're really conscious that if they need to get carbon

0:35:25.280 --> 0:35:27.560
<v Speaker 10>emissions out of their power system, nuclear is one of

0:35:27.560 --> 0:35:28.480
<v Speaker 10>their few options.

0:35:29.680 --> 0:35:32.640
<v Speaker 3>I look, will we're glad you're back. Sounds like you

0:35:32.680 --> 0:35:37.440
<v Speaker 3>had an amazing trip. You didn't bring me any goodies,

0:35:37.520 --> 0:35:40.160
<v Speaker 3>but that's okay. Sorry, that's okay next time. Next time,

0:35:40.160 --> 0:35:43.360
<v Speaker 3>you're gone for three Minds product. The rest of my

0:35:43.360 --> 0:35:47.400
<v Speaker 3>teammates them least he brought goodies, but they've been eating.

0:35:47.480 --> 0:35:50.879
<v Speaker 3>Check out his story. He is Today's big take. It's

0:35:50.920 --> 0:35:54.320
<v Speaker 3>on the Bloomberg Terminal. It's written along with Hesu Lee.

0:35:54.640 --> 0:35:58.120
<v Speaker 3>It's all about the winner of nuclear's nine trillion dollar comeback.

0:35:58.560 --> 0:36:01.719
<v Speaker 3>It'll be South Korea. It's a Bloomberg exclusive. This Bloomberg

0:36:01.719 --> 0:36:03.680
<v Speaker 3>BusinessWeek analysis. It's pretty awesome.

0:36:03.800 --> 0:36:04.239
<v Speaker 5>Check it out.

0:36:04.239 --> 0:36:11.239
<v Speaker 3>It's on the terminal and at Bloomberg dot Com.

0:36:11.440 --> 0:36:15.440
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

0:36:15.520 --> 0:36:19.000
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:36:19.000 --> 0:36:22.600
<v Speaker 2>on Applecarplay and Android Auto with the Bloomberg Business app,

0:36:22.719 --> 0:36:24.520
<v Speaker 2>or watch us live on YouTube.

0:36:25.600 --> 0:36:27.759
<v Speaker 1>Lenny Ahead in our second hour of the weekend edition

0:36:27.800 --> 0:36:31.600
<v Speaker 1>of Bloomberg Business Week, including the CEO of Omaha steaks

0:36:31.600 --> 0:36:34.920
<v Speaker 1>on the business of beef and serving up a sizzling

0:36:35.120 --> 0:36:37.200
<v Speaker 1>romance novel to sell even.

0:36:37.000 --> 0:36:40.000
<v Speaker 3>More, Plus how about wine with that steak Our Bloomberg

0:36:40.040 --> 0:36:43.160
<v Speaker 3>Pursuits team on building an all American wine cellar in

0:36:43.239 --> 0:36:44.400
<v Speaker 3>the time of tariffs.

0:36:44.719 --> 0:36:47.800
<v Speaker 1>Also the movie with a fresh look at an age

0:36:47.840 --> 0:36:50.400
<v Speaker 1>old conundrum, is it better to be with someone for

0:36:50.520 --> 0:36:53.960
<v Speaker 1>love for money? It's all in Bloomberg Pursuit. First up

0:36:54.000 --> 0:36:56.920
<v Speaker 1>this hour, though, we wanted to think about kind of

0:36:56.960 --> 0:36:59.680
<v Speaker 1>where we are in time and how it's been five

0:36:59.760 --> 0:37:03.919
<v Speaker 1>years since the killing of George Floyd that sparked widespread

0:37:03.960 --> 0:37:07.000
<v Speaker 1>attention to systemic racism in the United States.

0:37:07.520 --> 0:37:11.440
<v Speaker 3>At first, many companies publicly pledged support for racial justice,

0:37:11.480 --> 0:37:13.880
<v Speaker 3>but since then we've seen a pendulum swing on the

0:37:13.880 --> 0:37:17.080
<v Speaker 3>way that companies talked publicly about this stuff. Mark Morial

0:37:17.160 --> 0:37:20.200
<v Speaker 3>as president and CEO of the National Urban League, Mark

0:37:20.280 --> 0:37:23.239
<v Speaker 3>joined us to discuss corporate racial equity, but first he

0:37:23.280 --> 0:37:26.000
<v Speaker 3>weighed in on the tie up between US Steel and

0:37:26.080 --> 0:37:26.880
<v Speaker 3>Nippon Steele.

0:37:27.080 --> 0:37:31.359
<v Speaker 5>We took a position against this transaction, and I think

0:37:31.440 --> 0:37:34.879
<v Speaker 5>people should be reminded that both Biden and Trump during

0:37:34.880 --> 0:37:38.680
<v Speaker 5>the election cycle oppose what, in his sent in effect,

0:37:38.800 --> 0:37:45.160
<v Speaker 5>was an acquisition by Nippon Steel of US Steel. Cleveland

0:37:45.200 --> 0:37:49.759
<v Speaker 5>Cliffs wanted to buy US Steel right, both Biden and

0:37:49.880 --> 0:37:54.359
<v Speaker 5>Trump opposed it. On the theory that it would lead

0:37:54.400 --> 0:37:57.279
<v Speaker 5>to the loss of American jobs, the fear being that

0:37:57.440 --> 0:38:02.920
<v Speaker 5>Nippon would close American plans transfer production to Japan. So

0:38:03.000 --> 0:38:05.839
<v Speaker 5>now with this iteration, you asked the right question, is

0:38:05.880 --> 0:38:10.479
<v Speaker 5>this a partnership or is that a public relations move?

0:38:11.000 --> 0:38:13.840
<v Speaker 5>Is it still the original deal, which really was an acquisition,

0:38:14.239 --> 0:38:16.960
<v Speaker 5>and what protections are going to be there. We took

0:38:17.000 --> 0:38:19.320
<v Speaker 5>a position from a job's perspective.

0:38:18.880 --> 0:38:21.160
<v Speaker 1>So you were concerned about some of the black communities

0:38:21.160 --> 0:38:24.080
<v Speaker 1>there right economic.

0:38:23.880 --> 0:38:27.040
<v Speaker 5>Places and steal and we're in a conversation where we're

0:38:27.040 --> 0:38:31.080
<v Speaker 5>talking about manufacturing. So the real impact question is will

0:38:31.120 --> 0:38:36.319
<v Speaker 5>this protect American steal jobs or will it potentially lead

0:38:36.400 --> 0:38:38.240
<v Speaker 5>to the transfer production to Japan.

0:38:38.400 --> 0:38:40.479
<v Speaker 3>Well, I will say the President said that it would

0:38:40.520 --> 0:38:43.080
<v Speaker 3>create at least seventy thousand jobs and AD fourteen billion

0:38:43.120 --> 0:38:45.319
<v Speaker 3>to the US economy. But he has a hard time

0:38:46.320 --> 0:38:50.680
<v Speaker 3>imagining that after investing fourteen billion dollars, then Nippon Steele

0:38:50.719 --> 0:38:53.400
<v Speaker 3>without an additional fourteen billion dollars to the US economy.

0:38:53.400 --> 0:38:56.239
<v Speaker 5>And the question is are there any guarantees? And I

0:38:56.239 --> 0:38:59.360
<v Speaker 5>think we all need to watch for the details understand

0:38:59.360 --> 0:39:02.960
<v Speaker 5>the specific because those jobs and those communities have been

0:39:03.000 --> 0:39:05.080
<v Speaker 5>heavily dependent on those types of.

0:39:05.320 --> 0:39:07.920
<v Speaker 3>Well, justic contextualize the seventy thousand not just a massive

0:39:08.040 --> 0:39:10.800
<v Speaker 3>number of jobs, especially for the steel industry. US Steel

0:39:10.880 --> 0:39:13.680
<v Speaker 3>only has twenty two thousand employees right now.

0:39:13.840 --> 0:39:16.240
<v Speaker 5>Yeah, and I hope it's not a lot of hype,

0:39:16.280 --> 0:39:19.040
<v Speaker 5>you know, And I think that we owe it to

0:39:19.080 --> 0:39:21.840
<v Speaker 5>look at the transaction and see what impacted or what

0:39:21.960 --> 0:39:25.799
<v Speaker 5>guarantees are going to be there for American workers, and

0:39:25.840 --> 0:39:28.680
<v Speaker 5>what are the guarantees that five years from now, there's

0:39:28.719 --> 0:39:32.520
<v Speaker 5>not a decision made, a reversal and the jobs move

0:39:32.719 --> 0:39:35.400
<v Speaker 5>to Japan or they move abroad for some reason. So

0:39:35.440 --> 0:39:40.000
<v Speaker 5>that's really what if you will, handcuffs and guardrails are

0:39:40.000 --> 0:39:42.440
<v Speaker 5>going to be placed on this transaction till we see

0:39:42.480 --> 0:39:46.239
<v Speaker 5>what they file, until we see what they promise, It's

0:39:46.280 --> 0:39:50.960
<v Speaker 5>hard to know. But it's interesting that the President opposed

0:39:50.960 --> 0:39:53.440
<v Speaker 5>it as a candidate. Biden opposed it as a candidate.

0:39:54.400 --> 0:39:56.680
<v Speaker 5>You need to pose it last year, and there was

0:39:56.719 --> 0:40:01.400
<v Speaker 5>an American suitor for US Steel Cleveland, right, So there's

0:40:01.440 --> 0:40:03.759
<v Speaker 5>a lot to unpack here, and I just you know,

0:40:03.800 --> 0:40:07.600
<v Speaker 5>we work hard on the issue of jobs, and we're

0:40:07.719 --> 0:40:11.520
<v Speaker 5>very focused on transactions, uh, to determine whether it's going

0:40:11.520 --> 0:40:13.520
<v Speaker 5>to have a positive or negative impact on the communities

0:40:13.560 --> 0:40:16.960
<v Speaker 5>we serve. Well, look, yeah, you switch, George Floyd, Wait.

0:40:16.800 --> 0:40:18.200
<v Speaker 3>I want I do want to in a minute.

0:40:18.440 --> 0:40:20.840
<v Speaker 1>I want to stay on.

0:40:20.080 --> 0:40:22.600
<v Speaker 3>On economic development and stay of jobs. Because as somebody

0:40:22.600 --> 0:40:24.680
<v Speaker 3>who's been involved in government for so long, there of

0:40:24.719 --> 0:40:27.359
<v Speaker 3>New Orleans serving in the Louisiana State Senate, you you

0:40:27.480 --> 0:40:30.839
<v Speaker 3>understand this stuff when it comes to economic development. Take

0:40:30.880 --> 0:40:34.279
<v Speaker 3>a big picture approach to what you view as the

0:40:34.320 --> 0:40:37.719
<v Speaker 3>economic policy of the Trump administration and its effects on

0:40:37.760 --> 0:40:40.560
<v Speaker 3>American jobs. Because the President and the administration would say, hey,

0:40:41.000 --> 0:40:44.000
<v Speaker 3>we are imposing tariffs to protect US jobs.

0:40:44.480 --> 0:40:49.680
<v Speaker 5>I think a tariff approach without an industrial policy which

0:40:49.680 --> 0:40:54.799
<v Speaker 5>says what specific industries are you trying to grow? It

0:40:54.840 --> 0:41:00.319
<v Speaker 5>appears to be a scattershot approach designed to leverage some

0:41:00.400 --> 0:41:04.800
<v Speaker 5>deals without any specificity. So we're talking about iPhones, automobiles,

0:41:05.200 --> 0:41:09.759
<v Speaker 5>blue jeans, toys, what specific so I can buy. The

0:41:09.800 --> 0:41:12.799
<v Speaker 5>selective use of tariffs, the selective use of trying to

0:41:12.880 --> 0:41:16.160
<v Speaker 5>rebuild an American industry. But you need an industrial or

0:41:16.200 --> 0:41:20.880
<v Speaker 5>economic development policy that matches the tariffs in order to

0:41:20.880 --> 0:41:23.680
<v Speaker 5>give certainty to American business and consumers.

0:41:23.800 --> 0:41:26.680
<v Speaker 1>So I am curious, you know, Mark, when the president

0:41:26.719 --> 0:41:29.680
<v Speaker 1>putting pressure on a company like Apple to kind of

0:41:29.760 --> 0:41:32.200
<v Speaker 1>increase its investment here. And we've talked a lot with

0:41:32.239 --> 0:41:34.960
<v Speaker 1>our reporters who cover it and our team that covers it,

0:41:35.000 --> 0:41:37.400
<v Speaker 1>that they say, you know, it's going to be a

0:41:37.440 --> 0:41:39.520
<v Speaker 1>while before we can do it. That maybe there isn't

0:41:39.640 --> 0:41:41.840
<v Speaker 1>the skill of the workers, the type of automation, so

0:41:41.880 --> 0:41:44.000
<v Speaker 1>on and so forth. But is that the kind of

0:41:44.080 --> 0:41:47.400
<v Speaker 1>thing that you think would create jobs that would actually

0:41:47.920 --> 0:41:52.120
<v Speaker 1>benefit black communities, middle class communities which we have just

0:41:52.280 --> 0:41:54.279
<v Speaker 1>kind of carved out in a big way.

0:41:54.360 --> 0:41:57.799
<v Speaker 5>Look, we the outsourcing of jobs that took place in

0:41:57.840 --> 0:42:02.200
<v Speaker 5>the eighties and the nineties to really Reagan era free

0:42:02.239 --> 0:42:06.239
<v Speaker 5>trade policies, which will continued in the Bush and the

0:42:06.239 --> 0:42:06.919
<v Speaker 5>Clinton era.

0:42:07.640 --> 0:42:09.600
<v Speaker 1>The Republicans Democrats.

0:42:09.120 --> 0:42:12.920
<v Speaker 5>Like communities, right, They did damage community. The benefit was

0:42:13.120 --> 0:42:16.400
<v Speaker 5>cheaper goods on the consumer side, so there were some benefits,

0:42:16.440 --> 0:42:20.000
<v Speaker 5>but it hurt. The issue today is what jobs are

0:42:20.040 --> 0:42:23.640
<v Speaker 5>the jobs of the future. Is it rebuilding automobile component parts.

0:42:23.800 --> 0:42:26.960
<v Speaker 5>I would say that what people have not paid attention

0:42:27.040 --> 0:42:32.800
<v Speaker 5>to is the disinvestment through the NIH cuts in biomedical

0:42:32.840 --> 0:42:37.080
<v Speaker 5>research and technology, where we do have a bit of

0:42:37.120 --> 0:42:39.520
<v Speaker 5>a competitive advantage where we do have, we ought to

0:42:39.560 --> 0:42:42.239
<v Speaker 5>be pouring more investments into that.

0:42:42.440 --> 0:42:44.520
<v Speaker 1>What's the impact of that from your view, Well, the.

0:42:44.480 --> 0:42:47.920
<v Speaker 5>Impact of that is long term damaging because what happens

0:42:48.000 --> 0:42:52.439
<v Speaker 5>is the scientists and the investments go abroad, and once

0:42:52.480 --> 0:42:57.040
<v Speaker 5>they go abroad, just like manufacturing, you can't get them back.

0:42:57.480 --> 0:43:00.719
<v Speaker 5>So our economic policy ought to be focused on where

0:43:00.760 --> 0:43:04.839
<v Speaker 5>do we have a bit of some tailwinds and how

0:43:04.840 --> 0:43:08.880
<v Speaker 5>can we grow it? But then on manufacturing. I agree

0:43:08.920 --> 0:43:12.839
<v Speaker 5>with the notion that we are to try to rebuild manufacturing,

0:43:12.840 --> 0:43:15.320
<v Speaker 5>but we need to be more specific about it. If

0:43:15.600 --> 0:43:19.320
<v Speaker 5>someone said I want to bring jobs to Detroit, Newark, Gary,

0:43:19.480 --> 0:43:22.439
<v Speaker 5>New Orleans, Atlanta, I'm all for it, but I need

0:43:22.480 --> 0:43:26.400
<v Speaker 5>some specificity as to how this policy is going to

0:43:26.480 --> 0:43:28.120
<v Speaker 5>generate that type of response.

0:43:28.160 --> 0:43:29.440
<v Speaker 1>Are you getting time at the White House?

0:43:29.960 --> 0:43:32.840
<v Speaker 5>We've not been in any direct discussions with anyone in

0:43:32.840 --> 0:43:36.400
<v Speaker 5>the administration, but as always, if it's about the benefit

0:43:36.480 --> 0:43:38.840
<v Speaker 5>for the community, I'm open to discussions with anyone.

0:43:38.960 --> 0:43:41.239
<v Speaker 3>Is that different than other administrations? Do you typically have

0:43:41.280 --> 0:43:42.399
<v Speaker 3>a direct line to the White House?

0:43:42.440 --> 0:43:46.000
<v Speaker 5>You know in the Clinton, the Bush, the Obama administrations,

0:43:46.000 --> 0:43:51.040
<v Speaker 5>of Biden administrations, I think there was a much more candid,

0:43:51.440 --> 0:43:55.000
<v Speaker 5>open working relationship with civil rights leaders, with African American leaders,

0:43:56.000 --> 0:43:58.960
<v Speaker 5>and they were frank and candid, and they were not performative.

0:43:59.000 --> 0:44:02.200
<v Speaker 5>You see I meetings. Many of these meetings took place

0:44:02.480 --> 0:44:08.520
<v Speaker 5>without cameras, without press, without performance, without posturing. So I

0:44:08.560 --> 0:44:11.720
<v Speaker 5>mean my view of meetings is I want to talk business.

0:44:12.480 --> 0:44:13.560
<v Speaker 5>I don't want to play games.

0:44:13.920 --> 0:44:18.200
<v Speaker 3>What's interesting is that the communities that you represent at

0:44:18.200 --> 0:44:22.240
<v Speaker 3>the National Urban League in the last election move further

0:44:22.239 --> 0:44:24.600
<v Speaker 3>to the right for the most part. And I don't

0:44:24.600 --> 0:44:25.360
<v Speaker 3>want to paint every.

0:44:25.200 --> 0:44:29.480
<v Speaker 5>Push and many didn't vote, and there was a cynicism

0:44:30.080 --> 0:44:31.960
<v Speaker 5>about whether government can make a difference.

0:44:32.080 --> 0:44:33.319
<v Speaker 3>And why was that.

0:44:34.040 --> 0:44:39.400
<v Speaker 5>I think that people's objective economic conditions, the difficulty of COVID,

0:44:40.560 --> 0:44:46.440
<v Speaker 5>the depression of wages, inflation, a whole host of factors,

0:44:47.120 --> 0:44:49.560
<v Speaker 5>and the idea that politicians come and go and make

0:44:49.600 --> 0:44:50.719
<v Speaker 5>promises and never keep them.

0:44:50.760 --> 0:44:53.560
<v Speaker 3>So how does the Democratic Party get these voters back.

0:44:53.640 --> 0:44:56.000
<v Speaker 5>It's going to be up to a specific candidate. I

0:44:56.040 --> 0:44:59.000
<v Speaker 5>think people will rally around the right person. I don't

0:44:59.040 --> 0:45:01.440
<v Speaker 5>know if it's so much about it a party. I

0:45:01.480 --> 0:45:05.520
<v Speaker 5>think Trump right, Trump remade quote unquote the Republican Party.

0:45:05.680 --> 0:45:09.520
<v Speaker 5>I think the Democratic Party is the Democratic Coalition is

0:45:09.600 --> 0:45:12.880
<v Speaker 5>poised for a makeover. It's poised for a group of

0:45:12.880 --> 0:45:14.640
<v Speaker 5>people who are gonna come and talk about how they're

0:45:14.640 --> 0:45:17.200
<v Speaker 5>going to change and disrupt. But Bill a vision for

0:45:17.239 --> 0:45:17.600
<v Speaker 5>the future.

0:45:17.640 --> 0:45:19.799
<v Speaker 3>So who are some names that I would on your mind?

0:45:19.920 --> 0:45:22.880
<v Speaker 5>Wouldn't I wouldn't offer any names now because right now

0:45:23.760 --> 0:45:27.000
<v Speaker 5>the horses have not gotten out of the stable. So

0:45:27.040 --> 0:45:29.239
<v Speaker 5>we got to see him on the practice track.

0:45:30.680 --> 0:45:33.759
<v Speaker 1>Was Kamala Harris the wrong candidate at the wrong time unless.

0:45:33.480 --> 0:45:35.560
<v Speaker 5>She was a good candidate. She was given a tough

0:45:36.200 --> 0:45:39.839
<v Speaker 5>a tough lane to run in sixty to ninety days

0:45:39.880 --> 0:45:43.440
<v Speaker 5>to get known amongst American people. Remember, she came within

0:45:43.640 --> 0:45:47.360
<v Speaker 5>one point of defeating someone who was on their third

0:45:47.760 --> 0:45:50.920
<v Speaker 5>run for president. So we got to remember there was

0:45:50.960 --> 0:45:54.000
<v Speaker 5>no landslide, there was no mandate, but there was a

0:45:54.080 --> 0:45:55.360
<v Speaker 5>victory for Donald Trump.

0:45:55.880 --> 0:45:59.840
<v Speaker 1>So I would love to say, speaking of victories, that

0:45:59.840 --> 0:46:03.680
<v Speaker 1>we've made a lot of progress in the last five years.

0:46:04.320 --> 0:46:08.920
<v Speaker 1>Considering the tragic killing of George Floyd and I think

0:46:09.480 --> 0:46:13.480
<v Speaker 1>you know it was COVID. We were all home. We

0:46:13.560 --> 0:46:18.319
<v Speaker 1>had a lot of conversations, really frank and real with

0:46:18.719 --> 0:46:22.600
<v Speaker 1>CEOs and leaders about the importance and the racism that

0:46:22.680 --> 0:46:26.600
<v Speaker 1>still is in this country, and blacks being targeted around

0:46:26.600 --> 0:46:30.160
<v Speaker 1>the country, and just the injustices, and I feel like

0:46:30.560 --> 0:46:33.200
<v Speaker 1>we've slip slided back. Tell me how you.

0:46:33.239 --> 0:46:37.399
<v Speaker 5>See five steps forward and three steps back on two

0:46:37.440 --> 0:46:39.880
<v Speaker 5>issues we cover in this report. I encourage people to

0:46:39.920 --> 0:46:45.080
<v Speaker 5>go to us a report out yes on policing. Many communities,

0:46:45.800 --> 0:46:50.520
<v Speaker 5>many police departments, many cities supported by the Civil Rights

0:46:50.520 --> 0:46:54.480
<v Speaker 5>Division of the Justice Department, made strides. We didn't pass

0:46:54.520 --> 0:46:58.360
<v Speaker 5>a comprehensive federal law that George Floyd Law did not pass,

0:46:59.000 --> 0:47:03.719
<v Speaker 5>but a hundred and eighty police officers were in fact convicted.

0:47:04.000 --> 0:47:08.120
<v Speaker 5>Dozens of police departments ended up in agreements to reform themselves.

0:47:08.239 --> 0:47:12.240
<v Speaker 5>A number of states, like Maryland, passed statewide police reform measures.

0:47:12.360 --> 0:47:16.000
<v Speaker 5>That was good. Now what's the obstacle. Now the current

0:47:16.040 --> 0:47:19.319
<v Speaker 5>administration has walked in and said we're freezing all civil

0:47:19.400 --> 0:47:24.040
<v Speaker 5>rights investigations, regardless of merit, regardless of the basis of

0:47:24.040 --> 0:47:29.000
<v Speaker 5>those That puts headwinds into this effort to continue to

0:47:29.000 --> 0:47:33.520
<v Speaker 5>do reform. On the other hand, there were these incredible

0:47:34.160 --> 0:47:39.319
<v Speaker 5>commitments by many great American institutions, businesses, philanthropies, etc. And

0:47:39.360 --> 0:47:43.759
<v Speaker 5>now some are walking them back. And they're three categories.

0:47:44.200 --> 0:47:48.040
<v Speaker 5>Those that have just abandoned them, some who've held firm

0:47:48.360 --> 0:47:51.040
<v Speaker 5>and those that are making cosmetic changes because they know

0:47:51.160 --> 0:47:54.160
<v Speaker 5>they need to be committed, but they're under the pressure

0:47:54.760 --> 0:47:58.560
<v Speaker 5>of the administration which is using its regulatory power to

0:47:58.719 --> 0:47:59.479
<v Speaker 5>force their hand.

0:48:00.000 --> 0:48:02.160
<v Speaker 3>Do you think which one do you think happened more.

0:48:02.200 --> 0:48:04.120
<v Speaker 3>Do you think these are just cosmetic changes and they're

0:48:04.160 --> 0:48:07.200
<v Speaker 3>committed to these so called DEI policies, or do you

0:48:07.200 --> 0:48:09.600
<v Speaker 3>think they are actually making fundamental changes in moving away

0:48:09.600 --> 0:48:10.120
<v Speaker 3>from them?

0:48:10.200 --> 0:48:15.600
<v Speaker 5>And American business to demonstrate a sense of courage. And

0:48:15.719 --> 0:48:18.399
<v Speaker 5>the reason why that courage is important is to recognize

0:48:18.920 --> 0:48:23.720
<v Speaker 5>the marketplace for both employees and customers of the future,

0:48:24.239 --> 0:48:30.280
<v Speaker 5>which is becoming far more diverse, black, brown Asian women.

0:48:30.719 --> 0:48:36.239
<v Speaker 5>That's the workplace of the future. But people today, if

0:48:36.280 --> 0:48:39.840
<v Speaker 5>you look at DEE and I Diversity Equity and Inclusion

0:48:39.920 --> 0:48:43.600
<v Speaker 5>Equal Opportunity, you poll it. The lowest polling numbers I've

0:48:43.640 --> 0:48:48.680
<v Speaker 5>seen in any any publicly available poll is fifty percent. See,

0:48:48.680 --> 0:48:51.840
<v Speaker 5>the American people are not on the side of the

0:48:51.960 --> 0:48:58.040
<v Speaker 5>loud anti voices. American business knows deep in their soul,

0:48:58.200 --> 0:49:02.000
<v Speaker 5>they know and they understand, but they're they're being I

0:49:02.040 --> 0:49:06.480
<v Speaker 5>think pressured, they're being intimidated, and I think that's just

0:49:06.520 --> 0:49:07.520
<v Speaker 5>the reality of today.

0:49:07.840 --> 0:49:10.719
<v Speaker 1>We're squeeze for time twenty five seconds. Are you surprised

0:49:10.719 --> 0:49:14.080
<v Speaker 1>by the fear of corporate leaders to speak out? And

0:49:14.280 --> 0:49:16.440
<v Speaker 1>I apologize that it needs to be quick.

0:49:16.840 --> 0:49:22.279
<v Speaker 5>I am. But their exceptions Jamie Diamond, Roger Goodell, two

0:49:22.320 --> 0:49:25.000
<v Speaker 5>people with whom I've spoken, and two people who've made

0:49:25.400 --> 0:49:29.279
<v Speaker 5>important statements, And I think others should do the same thing.

0:49:30.360 --> 0:49:32.160
<v Speaker 3>Are you done with public service?

0:49:32.880 --> 0:49:34.759
<v Speaker 5>Never done with public service? So are you?

0:49:35.000 --> 0:49:36.400
<v Speaker 3>Is there a chance you would run for something else?

0:49:36.440 --> 0:49:39.040
<v Speaker 5>There's always a chance. But I love my job. I

0:49:39.080 --> 0:49:40.600
<v Speaker 5>love what I do, But there's always a chance.

0:49:40.760 --> 0:49:45.359
<v Speaker 1>Like what Stay tuned, all right, TBD, We'll come back

0:49:45.360 --> 0:49:46.840
<v Speaker 1>and tell us you can break it. Mark, thank you

0:49:46.880 --> 0:49:49.440
<v Speaker 1>so much. He's, of course, president, chief executive officer of

0:49:49.480 --> 0:49:51.920
<v Speaker 1>the National Urban League, joining us in studio. Mark, thank you.

0:49:53.680 --> 0:49:57.560
<v Speaker 2>This is the Bloomberg Business Week Daily Podcast. Listen live

0:49:57.640 --> 0:50:00.839
<v Speaker 2>each weekday starting at two pm Eastern Apple car Play

0:50:00.960 --> 0:50:03.600
<v Speaker 2>and the Android auto with the Bloomberg Business app. You

0:50:03.640 --> 0:50:06.840
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:50:06.880 --> 0:50:10.480
<v Speaker 2>New York station, Just Say Alexa played Bloomberg eleven thirty

0:50:11.480 --> 0:50:12.160
<v Speaker 2>one week ago.

0:50:12.280 --> 0:50:15.160
<v Speaker 1>Last weekend, it was Memorial Day weekend, considered to be

0:50:15.200 --> 0:50:17.680
<v Speaker 1>the unofficial start official start.

0:50:17.719 --> 0:50:20.760
<v Speaker 3>I guess unofficial because June twenty first.

0:50:20.840 --> 0:50:24.040
<v Speaker 1>Okay, all right, all right, technical technical anyway, unofficial start

0:50:24.040 --> 0:50:26.600
<v Speaker 1>to summer in the United States. With that, perhaps you

0:50:26.640 --> 0:50:29.080
<v Speaker 1>were one of the millions of Americans who took that

0:50:29.120 --> 0:50:32.120
<v Speaker 1>long weekend to celebrate with some outdoor activities, beach trips,

0:50:32.239 --> 0:50:34.640
<v Speaker 1>or spend some time grilling up some steaks. Didn't you

0:50:34.719 --> 0:50:34.920
<v Speaker 1>do that?

0:50:34.960 --> 0:50:35.160
<v Speaker 12>Tim?

0:50:35.239 --> 0:50:38.160
<v Speaker 3>I didn't. We didn't grill steaks. I was with a

0:50:38.200 --> 0:50:42.279
<v Speaker 3>group of people who don't eat mammals. Interestingly enough, that's there,

0:50:42.480 --> 0:50:43.759
<v Speaker 3>that's the way they think about it.

0:50:44.280 --> 0:50:45.960
<v Speaker 1>Okay, but Tim and I both like stakes.

0:50:46.600 --> 0:50:50.080
<v Speaker 3>So we had chicken. We had chicken. We had turkey burgers.

0:50:50.320 --> 0:50:53.120
<v Speaker 3>There were a few impossible burgers for the actual vegetarians.

0:50:53.840 --> 0:50:55.799
<v Speaker 3>I had a lot of chicken and turkey burgers. Though

0:50:56.280 --> 0:50:59.960
<v Speaker 3>Nate Rampy hopes you were grilling in Omaha steak or several.

0:51:00.000 --> 0:51:02.719
<v Speaker 3>He's president and CEO of the privately held company more

0:51:02.760 --> 0:51:05.799
<v Speaker 3>than one hundred years old. The company is Nate joins

0:51:05.840 --> 0:51:08.320
<v Speaker 3>Us from Omaha. Nate good to have you with us.

0:51:08.600 --> 0:51:10.200
<v Speaker 3>It's good to have you on the program. We've been

0:51:10.200 --> 0:51:12.640
<v Speaker 3>excited to speak to you about a range of topics.

0:51:12.680 --> 0:51:14.759
<v Speaker 3>I want to start just with the fact that you're

0:51:14.760 --> 0:51:16.600
<v Speaker 3>privately held here more than a century old. We don't

0:51:16.600 --> 0:51:19.120
<v Speaker 3>have a lot of numbers to go on. We are Bloomberg.

0:51:19.280 --> 0:51:21.279
<v Speaker 3>We need some context here. What can you tell us

0:51:21.640 --> 0:51:25.799
<v Speaker 3>about the business sales, what direction they've been going in.

0:51:25.960 --> 0:51:27.280
<v Speaker 3>What can you share with us?

0:51:27.719 --> 0:51:30.479
<v Speaker 7>You bet? First off, in Omaha, we grill no matter

0:51:30.520 --> 0:51:30.879
<v Speaker 7>the weather.

0:51:31.080 --> 0:51:32.239
<v Speaker 3>Okay, it's good to know.

0:51:33.000 --> 0:51:35.399
<v Speaker 12>Get that right out right out of the shoots. So

0:51:35.440 --> 0:51:37.400
<v Speaker 12>we are one hundred and seven Almos, one hundred and

0:51:37.440 --> 0:51:42.520
<v Speaker 12>eight years old, born and raised in Omaha, Nebraska. We're

0:51:42.520 --> 0:51:45.880
<v Speaker 12>pushing upwards past six hundred million in top line revenue,

0:51:45.880 --> 0:51:50.400
<v Speaker 12>about two thousand employees, and we spike up to about

0:51:50.440 --> 0:51:55.200
<v Speaker 12>six thousand during the holidays when when we provide America

0:51:55.320 --> 0:51:58.640
<v Speaker 12>you know the best gift, which is Omaha steaks file Mignon.

0:51:59.400 --> 0:52:01.920
<v Speaker 3>So where is the beef coming from? Because on your

0:52:01.920 --> 0:52:04.759
<v Speaker 3>website I noticed you do have a section sort of

0:52:04.800 --> 0:52:07.960
<v Speaker 3>the higher end stuff that is imported from Japan. It

0:52:08.080 --> 0:52:10.520
<v Speaker 3>seems like other than that, is it all from the

0:52:10.600 --> 0:52:11.280
<v Speaker 3>United States?

0:52:12.680 --> 0:52:15.480
<v Speaker 12>It's actually wago, is not Our wagon is not important

0:52:15.480 --> 0:52:16.000
<v Speaker 12>from Japan.

0:52:16.000 --> 0:52:17.080
<v Speaker 7>Actually we actually.

0:52:16.800 --> 0:52:19.200
<v Speaker 3>Call it wangus oh okay.

0:52:18.719 --> 0:52:21.080
<v Speaker 7>Which is largely in the United States.

0:52:21.520 --> 0:52:24.880
<v Speaker 12>Most of the wagu consumed is a is a is

0:52:24.920 --> 0:52:28.080
<v Speaker 12>a sort of a hybrid between an angus and the wagon.

0:52:28.239 --> 0:52:30.640
<v Speaker 3>So forgive me, is it still considered wagu if it's

0:52:30.640 --> 0:52:31.280
<v Speaker 3>not from Japan?

0:52:32.000 --> 0:52:35.120
<v Speaker 12>Oh yeah, yeah, for sure, just because of the of

0:52:35.160 --> 0:52:38.080
<v Speaker 12>the breed. Uh you sort of enterbred that with the

0:52:38.400 --> 0:52:40.000
<v Speaker 12>with the angus to get a more.

0:52:39.880 --> 0:52:41.960
<v Speaker 7>Americanized version of that.

0:52:42.160 --> 0:52:45.080
<v Speaker 12>But our beef comes from the heartland. I mean, I'm

0:52:45.080 --> 0:52:48.640
<v Speaker 12>talking to you from Omaha, Nebraska. This is beef country.

0:52:49.080 --> 0:52:52.000
<v Speaker 12>And you know, on the top of mind lately, you know,

0:52:52.120 --> 0:52:55.560
<v Speaker 12>has been the topics of terrorists. And when you source

0:52:55.640 --> 0:52:58.040
<v Speaker 12>all of your beef from the US right in the

0:52:58.040 --> 0:53:00.440
<v Speaker 12>center of the country, you know you can have a

0:53:00.440 --> 0:53:05.600
<v Speaker 12>competitive advantage in protecting your customers from the impacts of

0:53:05.640 --> 0:53:08.440
<v Speaker 12>things like tearifs and Omaha steaks. Given the fact that

0:53:08.480 --> 0:53:12.000
<v Speaker 12>we're one hundred years old, is super vertically integrated. So

0:53:12.280 --> 0:53:17.839
<v Speaker 12>from the sourcing of the raw material, through manufacturing, packaging,

0:53:18.040 --> 0:53:23.200
<v Speaker 12>marketing it all the way through fulfillment and logistics. You know,

0:53:23.239 --> 0:53:26.840
<v Speaker 12>we control that at every step in the in the process,

0:53:26.880 --> 0:53:29.960
<v Speaker 12>and that gives us a couple benefits. One is that

0:53:30.000 --> 0:53:33.960
<v Speaker 12>customer experience can be very controlled and sure that we

0:53:34.040 --> 0:53:38.600
<v Speaker 12>have an absolute fabulous experience from not just from first bite,

0:53:38.640 --> 0:53:40.880
<v Speaker 12>but all the way backing up to you know, the

0:53:40.920 --> 0:53:45.440
<v Speaker 12>shopping experience, the marketing experience, exploring what products you might

0:53:45.440 --> 0:53:47.520
<v Speaker 12>want to enjoy, from Omaha steaks, all the way through

0:53:47.520 --> 0:53:51.400
<v Speaker 12>to when that cooler shows up perfectly frozen with ice

0:53:51.719 --> 0:53:52.720
<v Speaker 12>still in the package.

0:53:52.800 --> 0:53:54.400
<v Speaker 1>All right, Nan, I got to ask you because I

0:53:54.400 --> 0:53:58.600
<v Speaker 1>feel like every time we go out for dinner you

0:53:58.680 --> 0:54:02.520
<v Speaker 1>want to buy I'm using steak broadly, but there's obviously

0:54:02.560 --> 0:54:04.440
<v Speaker 1>different kinds of cuts and so on and so forth.

0:54:04.840 --> 0:54:08.920
<v Speaker 1>But it's expensive. You're talking thirty five, forty, fifty sixty.

0:54:09.680 --> 0:54:11.880
<v Speaker 1>Why is it so expensive? And I was just looking,

0:54:12.000 --> 0:54:16.000
<v Speaker 1>you know, beef prices have gone up again this year,

0:54:16.360 --> 0:54:18.840
<v Speaker 1>are there up? So what's going on in the beef market.

0:54:20.080 --> 0:54:22.640
<v Speaker 12>Yeah, it's it's largely it's it's pretty simple, Carol. It's

0:54:22.760 --> 0:54:28.640
<v Speaker 12>kind of supply and demand. So consumer demand has really

0:54:28.760 --> 0:54:32.720
<v Speaker 12>kind of stayed strong despite you know, all what's happening

0:54:32.760 --> 0:54:34.480
<v Speaker 12>around us in the macro environment.

0:54:34.680 --> 0:54:35.920
<v Speaker 7>Macroeconomic environment.

0:54:36.880 --> 0:54:41.879
<v Speaker 12>Cattle supply has dropped, in fact, will be about four

0:54:42.000 --> 0:54:47.600
<v Speaker 12>million head lower in this year versus twenty twenty two,

0:54:48.400 --> 0:54:51.080
<v Speaker 12>and thus, you know, price is sort of increasing. So

0:54:51.600 --> 0:54:54.600
<v Speaker 12>you know, all those factors are really what's behind the

0:54:54.680 --> 0:54:57.600
<v Speaker 12>price of meat increasing because you know, the cost of

0:54:57.680 --> 0:55:01.400
<v Speaker 12>food has been increasing for quite some time. It's not

0:55:01.600 --> 0:55:04.560
<v Speaker 12>just you know, kind of this you know, very recent

0:55:05.440 --> 0:55:09.279
<v Speaker 12>event and going out to dinner when you told me,

0:55:09.440 --> 0:55:11.600
<v Speaker 12>you know, you go out for a steak. You know,

0:55:11.600 --> 0:55:14.080
<v Speaker 12>I think if you think back to twenty twenty, you know,

0:55:14.120 --> 0:55:16.280
<v Speaker 12>one of the things that we learned as a country

0:55:16.520 --> 0:55:20.040
<v Speaker 12>is how great it was to have dinner at home

0:55:20.680 --> 0:55:23.200
<v Speaker 12>with family, and that you know, when you do that,

0:55:23.200 --> 0:55:25.680
<v Speaker 12>that doesn't mean that the experience or.

0:55:25.680 --> 0:55:27.880
<v Speaker 7>The quality has to drop, right, And.

0:55:28.680 --> 0:55:34.000
<v Speaker 12>What I'm arguing is that I can bring the quality

0:55:34.440 --> 0:55:39.200
<v Speaker 12>and the guidance and the experience of the best steakhouse

0:55:39.560 --> 0:55:42.600
<v Speaker 12>in America to your kitchen and you can do it

0:55:42.640 --> 0:55:47.200
<v Speaker 12>without waiting in line, without driving, without tips, you know,

0:55:47.239 --> 0:55:51.200
<v Speaker 12>without you know, maybe variable service, and you can be

0:55:51.239 --> 0:55:54.480
<v Speaker 12>the hero in the kitchen as opposed to the steak.

0:55:54.320 --> 0:55:56.640
<v Speaker 3>Rate, as long as you don't overcook it, which has

0:55:56.680 --> 0:55:58.400
<v Speaker 3>happened well, do you know it depends.

0:55:58.400 --> 0:56:02.000
<v Speaker 1>I mean, you know we say it a lotze totally.

0:56:02.440 --> 0:56:06.920
<v Speaker 3>Well, you know, to Carol's point, beef prices recently, just

0:56:06.960 --> 0:56:10.160
<v Speaker 3>in the last few days, reached a record high in April.

0:56:10.719 --> 0:56:12.200
<v Speaker 3>How much of your price has gone up over the

0:56:12.280 --> 0:56:12.719
<v Speaker 3>last year.

0:56:13.920 --> 0:56:16.880
<v Speaker 12>Actually, we have held our price as static for about

0:56:16.960 --> 0:56:17.680
<v Speaker 12>three years.

0:56:18.400 --> 0:56:18.520
<v Speaker 5>Uh.

0:56:18.640 --> 0:56:21.880
<v Speaker 12>And again we're doing that because we're able to control

0:56:22.120 --> 0:56:25.239
<v Speaker 12>And I can't really overstate how important it is to

0:56:25.320 --> 0:56:28.800
<v Speaker 12>control the controllables. I mean, you know, when you're operating

0:56:28.800 --> 0:56:31.279
<v Speaker 12>a large business, things that come at you from the

0:56:31.400 --> 0:56:35.240
<v Speaker 12>sides that cause impact to costs or ultimately what drive

0:56:35.320 --> 0:56:39.080
<v Speaker 12>consumer price up. So we've been able to really control

0:56:39.239 --> 0:56:43.040
<v Speaker 12>our controllables and offer that benefit to our customers.

0:56:43.120 --> 0:56:43.800
<v Speaker 7>Now there are.

0:56:43.960 --> 0:56:47.759
<v Speaker 12>Really, there really are a number of things that America

0:56:47.800 --> 0:56:52.319
<v Speaker 12>can do to manage their costs of protein. It's like

0:56:52.440 --> 0:56:56.480
<v Speaker 12>anything else in economics, you know, there's a trade down opportunity.

0:56:56.520 --> 0:56:58.400
<v Speaker 7>So if you were maybe used.

0:56:58.239 --> 0:57:02.839
<v Speaker 12>To having a Tuesday night flame, we've seen some Americans go.

0:57:02.840 --> 0:57:06.320
<v Speaker 7>To the Top Surloin. I happen to love the Top Surloin.

0:57:06.440 --> 0:57:10.359
<v Speaker 12>I think it's an underappreciated, maybe underloved steak, but it's

0:57:10.360 --> 0:57:13.440
<v Speaker 12>a Tuesday night steak, it's beefy, it's it's you know,

0:57:13.480 --> 0:57:16.400
<v Speaker 12>it's very healthy, more lean, and so there is a

0:57:16.440 --> 0:57:20.360
<v Speaker 12>trade down happening there because protein really is an important

0:57:20.360 --> 0:57:23.600
<v Speaker 12>component to our diet and is a key cornerstone in

0:57:23.960 --> 0:57:25.120
<v Speaker 12>maintaining a healthy diet.

0:57:25.160 --> 0:57:27.320
<v Speaker 7>And so trading down is one of them.

0:57:27.840 --> 0:57:30.400
<v Speaker 12>Like I said, eating at home is another, you know,

0:57:30.440 --> 0:57:33.760
<v Speaker 12>investing in products that you know have that high quality.

0:57:34.080 --> 0:57:36.280
<v Speaker 7>But still that experience at home can be a great one.

0:57:36.320 --> 0:57:38.960
<v Speaker 1>All right, First of all, quick, go ahead, I'd just say,

0:57:39.000 --> 0:57:40.880
<v Speaker 1>full disclosure. We cook a lot at home, so it's

0:57:40.920 --> 0:57:42.280
<v Speaker 1>not like I'm meeting out all the time. I'm just

0:57:42.560 --> 0:57:45.680
<v Speaker 1>kind of blown away by the costs on menus. But

0:57:45.720 --> 0:57:49.720
<v Speaker 1>the same thing even when we you know, pie, you know,

0:57:49.960 --> 0:57:52.520
<v Speaker 1>it's just kind of expensive. Why are herds down? You said,

0:57:52.520 --> 0:57:55.480
<v Speaker 1>four herds in the US are down by four million heads,

0:57:56.120 --> 0:57:57.720
<v Speaker 1>lower than twenty twenty two.

0:57:58.040 --> 0:57:58.800
<v Speaker 8>Why is that?

0:57:59.320 --> 0:58:01.120
<v Speaker 7>Is there not the less number of factors?

0:58:01.240 --> 0:58:04.960
<v Speaker 12>Yeah, number of factors, Carol, things like drought, you know,

0:58:05.040 --> 0:58:08.840
<v Speaker 12>the environment which the cattle are being raised certainly affects

0:58:08.920 --> 0:58:12.080
<v Speaker 12>the size of the herd. But another phenomenon that's really

0:58:12.120 --> 0:58:15.120
<v Speaker 12>interesting that I think you'll also find interesting is something

0:58:15.200 --> 0:58:21.320
<v Speaker 12>called heifer retention. So when demand for beef is high,

0:58:21.680 --> 0:58:26.800
<v Speaker 12>there is motivation to harvest the female animal as opposed

0:58:26.840 --> 0:58:31.400
<v Speaker 12>to leverage that animal to generate more herd. And over

0:58:31.440 --> 0:58:34.280
<v Speaker 12>the last number of years that has been happening. And

0:58:34.360 --> 0:58:38.960
<v Speaker 12>so as heifer retention drops, the number of calves entering

0:58:39.720 --> 0:58:43.320
<v Speaker 12>the market or entering the environment drops as well, So

0:58:44.000 --> 0:58:47.200
<v Speaker 12>the build of the herd doesn't really happen over time.

0:58:47.240 --> 0:58:50.080
<v Speaker 12>And we've been dealing with that reduction over the last

0:58:50.120 --> 0:58:53.640
<v Speaker 12>number of years, which is a contributing factor to supply.

0:58:54.000 --> 0:58:55.120
<v Speaker 7>Nay price Nate.

0:58:55.160 --> 0:58:57.080
<v Speaker 3>You also, it's not just it's known for stakes, but

0:58:57.120 --> 0:59:00.760
<v Speaker 3>you guys also do chicken and pork, seafood, You do desserts, wine, gifts.

0:59:01.040 --> 0:59:03.960
<v Speaker 3>Some of your seafood is imported from outside of the US. Correct,

0:59:04.200 --> 0:59:07.040
<v Speaker 3>it is, yes, So how have you been you know,

0:59:07.120 --> 0:59:10.680
<v Speaker 3>like Argentinian shrimp for example, how have you been able

0:59:10.720 --> 0:59:15.720
<v Speaker 3>to control prices? There? You say, controlling the controllable is

0:59:15.760 --> 0:59:17.600
<v Speaker 3>what's important. But how much are you getting hit with

0:59:17.640 --> 0:59:18.600
<v Speaker 3>tariffs on that stuff?

0:59:20.080 --> 0:59:21.800
<v Speaker 7>There's a little bit of that there. I tell you.

0:59:21.840 --> 0:59:24.600
<v Speaker 12>One of the benefits you get from being a multi

0:59:24.680 --> 0:59:29.160
<v Speaker 12>decade business is we have multi decade supplier relationships, and

0:59:29.200 --> 0:59:32.360
<v Speaker 12>so you know, we can have conversations with them, and

0:59:32.400 --> 0:59:34.960
<v Speaker 12>we can talk frankly about the fact that you know

0:59:35.040 --> 0:59:38.360
<v Speaker 12>the Omaha Steaks and you know inter supplier name here.

0:59:39.560 --> 0:59:42.880
<v Speaker 12>This is about the long term. We've been sourcing from

0:59:42.920 --> 0:59:47.160
<v Speaker 12>you for twenty to thirty years. Help us overcome this blip,

0:59:47.160 --> 0:59:49.080
<v Speaker 12>and a lot of times we find that our suppliers

0:59:49.080 --> 0:59:53.200
<v Speaker 12>will step up and help us keep those costs in check. Yeah,

0:59:53.240 --> 0:59:55.360
<v Speaker 12>and largely, I think you know we've we've done a

0:59:55.360 --> 0:59:58.120
<v Speaker 12>pretty good job. My team has done a fabulous job

0:59:58.160 --> 0:59:59.960
<v Speaker 12>of anticipating the impact terror.

1:00:00.560 --> 1:00:02.320
<v Speaker 1>All Right, while we have you, can we talk about

1:00:02.400 --> 1:00:04.080
<v Speaker 1>Nick and Kate or should I call it Nate?

1:00:05.520 --> 1:00:05.840
<v Speaker 5>Sure?

1:00:06.200 --> 1:00:09.440
<v Speaker 1>Tell us about Certified Tender. It was a romance novel.

1:00:10.000 --> 1:00:12.600
<v Speaker 1>I believe it started as an April Fools Joe.

1:00:12.480 --> 1:00:13.480
<v Speaker 3>What are you talking about?

1:00:14.040 --> 1:00:16.320
<v Speaker 1>I have to tell you we were kind of reading

1:00:17.000 --> 1:00:19.040
<v Speaker 1>there was a great article that kind of put it

1:00:19.080 --> 1:00:20.760
<v Speaker 1>all together. We were reading some of it out loud

1:00:20.800 --> 1:00:24.960
<v Speaker 1>in the newsroom. This seems like it was an idea

1:00:25.080 --> 1:00:27.640
<v Speaker 1>that really took off. Just got about a minute or

1:00:27.680 --> 1:00:30.840
<v Speaker 1>so left here. How successful did this turn out to

1:00:30.880 --> 1:00:32.160
<v Speaker 1>be and how did it come about?

1:00:33.080 --> 1:00:36.520
<v Speaker 7>It was so fun. We've done April Fool's.

1:00:37.000 --> 1:00:39.680
<v Speaker 12>Events over the last number of years, but we had

1:00:40.000 --> 1:00:44.760
<v Speaker 12>a super talented copywriter internally that agreed to take on

1:00:45.200 --> 1:00:49.160
<v Speaker 12>writing certified tender. So it was literally written by a

1:00:49.160 --> 1:00:52.760
<v Speaker 12>copywriter here at Omaha Steaks named Michael. And I don't know,

1:00:52.800 --> 1:00:55.560
<v Speaker 12>if you have the opportunity to read it, you totally should.

1:00:55.880 --> 1:00:58.080
<v Speaker 12>It's got some fun easter eggs in the book that

1:00:58.160 --> 1:01:01.280
<v Speaker 12>talk about the history of Omaha Steak. It's you know,

1:01:01.720 --> 1:01:03.480
<v Speaker 12>some of the names and some of the dates and

1:01:03.560 --> 1:01:06.080
<v Speaker 12>things correlate with the history of the company, and it

1:01:06.360 --> 1:01:09.640
<v Speaker 12>just blew up. I mean, the book looks great, you know,

1:01:09.680 --> 1:01:14.400
<v Speaker 12>the content and the creative it's just a neat, fun

1:01:14.480 --> 1:01:15.880
<v Speaker 12>way to engage with our customers.

1:01:15.880 --> 1:01:17.959
<v Speaker 7>And I think, you know, it sort of speaks to.

1:01:18.120 --> 1:01:21.320
<v Speaker 12>The culture and the innovation and the desire to have

1:01:21.440 --> 1:01:23.000
<v Speaker 12>Funma Stake.

1:01:22.960 --> 1:01:26.000
<v Speaker 1>How that meet Cute Collection because this was a promotional

1:01:26.040 --> 1:01:30.800
<v Speaker 1>material for Meat Eat Meat Cute Collection ninety nine Bucks

1:01:30.880 --> 1:01:35.880
<v Speaker 1>Date Night themed box filet Mignon fries cab Cabernet Sauvignon

1:01:36.800 --> 1:01:39.120
<v Speaker 1>twenty seconds left here. How successful are those?

1:01:39.840 --> 1:01:40.880
<v Speaker 7>Hugely successful?

1:01:41.360 --> 1:01:43.520
<v Speaker 12>I mean, it's who doesn't want to have a date night.

1:01:43.640 --> 1:01:46.520
<v Speaker 12>I mean, it's the perfect date night. You'll have some wine,

1:01:46.520 --> 1:01:49.800
<v Speaker 12>have some great Omaha steaks. The filet that we provide

1:01:49.800 --> 1:01:55.440
<v Speaker 12>our customers is unmatched. It's literally certified tender by the USTA.

1:01:55.600 --> 1:01:58.320
<v Speaker 12>So it's about the most tender steak you can buy.

1:01:58.520 --> 1:02:00.000
<v Speaker 7>And then you curl up with a good book.

1:02:00.200 --> 1:02:03.520
<v Speaker 12>And that book just happens to be by the company

1:02:03.560 --> 1:02:04.560
<v Speaker 12>that provided.

1:02:04.200 --> 1:02:05.400
<v Speaker 5>The station in the wine.

1:02:05.520 --> 1:02:08.200
<v Speaker 1>All right, come back, come back, We got to continue

1:02:08.200 --> 1:02:11.520
<v Speaker 1>this conversation. Nate Rempy, President CE of Omaha Steaks.

1:02:13.240 --> 1:02:17.240
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily Podcast. Catch us

1:02:17.280 --> 1:02:20.760
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

1:02:20.760 --> 1:02:24.320
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

1:02:24.480 --> 1:02:26.280
<v Speaker 2>or watch us live on YouTube.

1:02:27.240 --> 1:02:30.160
<v Speaker 1>Building an all American wine cellar in the time of tariffs,

1:02:30.360 --> 1:02:33.880
<v Speaker 1>an upcoming movie that puzzles through matchmaking math, and the

1:02:34.000 --> 1:02:37.400
<v Speaker 1>Tony Award winning producer focused on improving the theater going

1:02:37.480 --> 1:02:39.600
<v Speaker 1>experience right here in New York City.

1:02:40.040 --> 1:02:43.000
<v Speaker 3>It means we're talking Bloomberg Pursuits. We got pretty much

1:02:43.000 --> 1:02:44.880
<v Speaker 3>our favorite person in the world with us right now.

1:02:44.920 --> 1:02:49.480
<v Speaker 3>The editor of Bloomberg Pursuits, Chris rouser, Chris, it's a day.

1:02:49.560 --> 1:02:52.000
<v Speaker 3>It's been a day, which is why I want to

1:02:52.040 --> 1:02:54.600
<v Speaker 3>start with wine. And you should note that we don't

1:02:54.640 --> 1:02:57.200
<v Speaker 3>even drink, but I think I need some wine right now.

1:02:58.200 --> 1:03:01.160
<v Speaker 3>I love the concept here with the way you did

1:03:01.160 --> 1:03:04.200
<v Speaker 3>this package, because the whole idea is we're in this

1:03:04.320 --> 1:03:09.520
<v Speaker 3>really complicated tariff regime and it is affecting imports of

1:03:09.560 --> 1:03:13.640
<v Speaker 3>wine and spirits. So the challenge, if we're up for it,

1:03:13.680 --> 1:03:17.520
<v Speaker 3>is to build an incredible wine cellar only based on

1:03:17.840 --> 1:03:18.760
<v Speaker 3>American wines.

1:03:19.000 --> 1:03:22.200
<v Speaker 1>After we stop crying, yeah exactly.

1:03:23.000 --> 1:03:25.000
<v Speaker 13>So yeah, so we don't know where the tariffs are

1:03:25.040 --> 1:03:28.240
<v Speaker 13>going to end up with European wines and luxury items.

1:03:28.720 --> 1:03:32.440
<v Speaker 13>But when we were talking to Ellen McCoy, our wine columnist,

1:03:32.680 --> 1:03:34.920
<v Speaker 13>she and I got into discussion about what is the

1:03:35.000 --> 1:03:38.560
<v Speaker 13>root question actually, because when it comes to luxury items,

1:03:38.560 --> 1:03:40.919
<v Speaker 13>things that you don't need that have tariffs on them,

1:03:41.120 --> 1:03:45.760
<v Speaker 13>it's really Trump is asking you to consider whether you

1:03:45.840 --> 1:03:48.880
<v Speaker 13>can meet all your desires just based on stuff that's

1:03:49.120 --> 1:03:52.600
<v Speaker 13>made in America. And okay, so let's follow that to

1:03:52.600 --> 1:03:55.560
<v Speaker 13>the conclusion, can you make a great wine cellar just

1:03:55.720 --> 1:04:00.080
<v Speaker 13>using American wines? The answer, you know, is that it

1:04:00.120 --> 1:04:05.360
<v Speaker 13>depends Alan really believes in tear war and the joy

1:04:05.520 --> 1:04:09.040
<v Speaker 13>of collecting wine really is related to having a wide

1:04:09.120 --> 1:04:12.840
<v Speaker 13>variety of wines. Wines taste good because of the terear war,

1:04:13.040 --> 1:04:15.560
<v Speaker 13>which is a combination of the soil and the ground

1:04:15.640 --> 1:04:18.760
<v Speaker 13>and the environment and the hands that went into making it.

1:04:18.880 --> 1:04:21.600
<v Speaker 13>That's what's beautiful about wine. It's not just a glass.

1:04:21.640 --> 1:04:24.240
<v Speaker 13>It's so much more than that. And to limit yourself

1:04:24.240 --> 1:04:28.000
<v Speaker 13>to one country or one region really limits the possibilities

1:04:28.040 --> 1:04:30.480
<v Speaker 13>for you. However, are there a lot of great winemakers

1:04:30.520 --> 1:04:31.320
<v Speaker 13>in the United States.

1:04:31.520 --> 1:04:33.840
<v Speaker 1>Yes, Before we get into that, I think about tim

1:04:33.880 --> 1:04:35.960
<v Speaker 1>like all the conversations that we've had with folks that

1:04:36.000 --> 1:04:39.360
<v Speaker 1>have come on from around the world wine makers, and

1:04:39.520 --> 1:04:41.560
<v Speaker 1>part of the things that we always get into it

1:04:41.560 --> 1:04:45.120
<v Speaker 1>strikes me, Chris, is that how they make it, you know,

1:04:45.320 --> 1:04:48.240
<v Speaker 1>how they talk about the earth. They talk about you know,

1:04:48.320 --> 1:04:51.040
<v Speaker 1>regenerative farming, like doing things like it is such a

1:04:51.040 --> 1:04:53.160
<v Speaker 1>big part. They talked about the impact of climate change.

1:04:53.200 --> 1:04:55.280
<v Speaker 1>So I totally get what you say that right. It

1:04:55.320 --> 1:04:56.760
<v Speaker 1>makes a difference in terms of the wine that you

1:04:56.840 --> 1:04:57.560
<v Speaker 1>ultimately get.

1:04:57.600 --> 1:04:59.439
<v Speaker 13>And there's so many different kinds of grapes. There's grapes

1:04:59.480 --> 1:05:02.240
<v Speaker 13>that you've never heard of. The major grapes in the

1:05:02.360 --> 1:05:05.680
<v Speaker 13>US are grapes that have been imported from the major

1:05:05.720 --> 1:05:09.040
<v Speaker 13>collectible wines in France, basically France and Italy, and so

1:05:09.360 --> 1:05:11.640
<v Speaker 13>you know, like Cabernet, Chardonnay, and.

1:05:11.720 --> 1:05:13.040
<v Speaker 8>There's so much more than that.

1:05:13.240 --> 1:05:16.240
<v Speaker 13>But Ellen does have a range of wines that she

1:05:16.280 --> 1:05:20.120
<v Speaker 13>really believes are super investable from the US, from Chateau

1:05:20.120 --> 1:05:23.640
<v Speaker 13>Montalana to Literai to Ridge Vineyards, which is sort of

1:05:23.640 --> 1:05:24.760
<v Speaker 13>her number one.

1:05:25.080 --> 1:05:27.919
<v Speaker 3>What's the sort of geographical range in the United States,

1:05:27.960 --> 1:05:30.320
<v Speaker 3>Because one point that her piece makes is that there's

1:05:30.320 --> 1:05:32.200
<v Speaker 3>been a lot of growth in the West of the

1:05:32.320 --> 1:05:35.240
<v Speaker 3>United States, even in the East here in New York

1:05:35.320 --> 1:05:37.920
<v Speaker 3>State when it comes to wines that are being produced.

1:05:37.960 --> 1:05:39.560
<v Speaker 3>Over the last few decades.

1:05:39.280 --> 1:05:42.440
<v Speaker 13>There has been a tremendous amount of growth in wine

1:05:42.760 --> 1:05:46.160
<v Speaker 13>outside of California Oregon, the places that you sort of

1:05:46.200 --> 1:05:49.320
<v Speaker 13>traditionally think of as American wine growing however, like even

1:05:49.360 --> 1:05:53.960
<v Speaker 13>Texas actually as a big growing wine population. But the

1:05:54.040 --> 1:05:59.880
<v Speaker 13>really like investment quality wines are still in California, in Oregon.

1:06:00.080 --> 1:06:04.040
<v Speaker 3>I mean, the seven US wines for a starter seller

1:06:04.280 --> 1:06:07.520
<v Speaker 3>that she includes in this a lot of them are

1:06:07.640 --> 1:06:08.360
<v Speaker 3>in California.

1:06:08.440 --> 1:06:11.120
<v Speaker 13>Still yeah, and you know, a lot of wine is

1:06:11.200 --> 1:06:15.040
<v Speaker 13>about perception. It's like any kind of you know, alternative investment.

1:06:15.360 --> 1:06:20.320
<v Speaker 13>It's about history, it's about reputation. And so the Chateau Montalina,

1:06:20.360 --> 1:06:22.720
<v Speaker 13>for example, the chardonnay there is the one that won

1:06:23.120 --> 1:06:25.520
<v Speaker 13>the famous nineteen seventy six Paris tasting where they put

1:06:25.560 --> 1:06:29.120
<v Speaker 13>American wines up against French wines. And it's still dominant,

1:06:29.120 --> 1:06:31.000
<v Speaker 13>but it will always be a legend because of that.

1:06:31.160 --> 1:06:33.720
<v Speaker 1>Not so expensive either, like relatively speaking.

1:06:33.440 --> 1:06:34.880
<v Speaker 13>Yeah, not so bad. Some of these are not you know,

1:06:34.960 --> 1:06:37.160
<v Speaker 13>seventy five dollars ago summer.

1:06:39.360 --> 1:06:40.360
<v Speaker 3>Four fifty five.

1:06:40.240 --> 1:06:42.320
<v Speaker 1>Dollars not a flex. But I'm going to be telling

1:06:42.360 --> 1:06:43.920
<v Speaker 1>you my husband and I just were talking about Opus

1:06:43.920 --> 1:06:46.520
<v Speaker 1>one because it was like when we went to Napa,

1:06:46.600 --> 1:06:49.520
<v Speaker 1>that was one of the places we visited and tasted.

1:06:49.560 --> 1:06:52.040
<v Speaker 1>But we also, like many years before the child was born,

1:06:52.240 --> 1:06:54.840
<v Speaker 1>like remember having this dinner and bottle and buying a

1:06:54.840 --> 1:06:57.160
<v Speaker 1>bottle of opis and opus when it was so let.

1:06:57.120 --> 1:07:00.160
<v Speaker 3>Me get this straight. You had homemade French bread, creutons

1:07:00.280 --> 1:07:04.120
<v Speaker 3>night with escargo, withes cargo, and you're talking about Opus

1:07:04.120 --> 1:07:05.320
<v Speaker 3>one wines too.

1:07:05.520 --> 1:07:08.320
<v Speaker 1>Yeah, well, but sod like again, you know, pre kid,

1:07:08.440 --> 1:07:11.040
<v Speaker 1>there was a lot of stuff that went on. Yeah,

1:07:12.320 --> 1:07:14.120
<v Speaker 1>a very good bottle of one. So you're saying, we

1:07:14.160 --> 1:07:16.080
<v Speaker 1>can do it. We can find stuff in America.

1:07:16.120 --> 1:07:17.960
<v Speaker 13>You could make a very strong seller that you will

1:07:18.040 --> 1:07:20.240
<v Speaker 13>enjoy in love for years. Can you make a comprehensive

1:07:20.240 --> 1:07:22.560
<v Speaker 13>one that really gets it all the joy of wine collecting?

1:07:22.720 --> 1:07:23.240
<v Speaker 5>No, you can't.

1:07:23.280 --> 1:07:25.880
<v Speaker 1>All right, can you find a relationship where you're in love?

1:07:25.920 --> 1:07:27.440
<v Speaker 1>And there's also some money.

1:07:27.160 --> 1:07:30.560
<v Speaker 3>Involved and Pedro Pascal is in there as well.

1:07:30.760 --> 1:07:32.160
<v Speaker 1>Not a great segue, but there I went.

1:07:32.400 --> 1:07:35.320
<v Speaker 3>Let's talk a little bit about this new film from

1:07:35.360 --> 1:07:37.600
<v Speaker 3>a twenty four that's highlighted in Pursuits.

1:07:37.880 --> 1:07:38.160
<v Speaker 8>Yeah.

1:07:38.200 --> 1:07:41.040
<v Speaker 13>So Selene Song is a director of Past Lives, which

1:07:41.080 --> 1:07:42.560
<v Speaker 13>is a movie that a lot of people really loved,

1:07:42.720 --> 1:07:44.800
<v Speaker 13>and for a twenty four she had this movie coming

1:07:44.800 --> 1:07:47.680
<v Speaker 13>out in June called The Materialists. And before she was

1:07:47.680 --> 1:07:50.440
<v Speaker 13>a director, she worked at a matchmaking service and she

1:07:50.640 --> 1:07:53.520
<v Speaker 13>was really kind of blown away when she was young.

1:07:53.640 --> 1:07:55.560
<v Speaker 13>She was sort of impressiable. She was blown away by

1:07:55.560 --> 1:07:58.800
<v Speaker 13>how transactional people were when they were looking for mates.

1:07:58.880 --> 1:08:01.600
<v Speaker 13>And it wasn't even really like I want someone tall,

1:08:01.960 --> 1:08:04.040
<v Speaker 13>or you know, I want someone nice. It was like,

1:08:04.080 --> 1:08:06.120
<v Speaker 13>I want someone between sixty two and sixty three who

1:08:06.160 --> 1:08:08.200
<v Speaker 13>has at least ten million dollars in the bank, you know,

1:08:08.240 --> 1:08:11.280
<v Speaker 13>who does this kind of financialop. It was very specific,

1:08:11.640 --> 1:08:13.920
<v Speaker 13>and you know, I think a lot of us don't

1:08:14.240 --> 1:08:16.680
<v Speaker 13>realize that, like people, you know, when it comes to

1:08:16.720 --> 1:08:19.640
<v Speaker 13>transactional matchmaking, like that's happening. You know, people can be

1:08:19.680 --> 1:08:22.920
<v Speaker 13>really specific with what they want. And this movie gets

1:08:22.960 --> 1:08:26.080
<v Speaker 13>into the idea of like, maybe that's not so bad.

1:08:26.560 --> 1:08:31.400
<v Speaker 3>So enter Pedro Pascal and Captain America. Yeah, two different

1:08:31.920 --> 1:08:34.360
<v Speaker 3>ends of the spectrum when it comes to who they

1:08:34.400 --> 1:08:36.679
<v Speaker 3>play in the film. Yes, exactly.

1:08:36.760 --> 1:08:36.840
<v Speaker 4>So.

1:08:37.200 --> 1:08:39.600
<v Speaker 13>The movie centers on Dakota Johnson who's working at a

1:08:39.640 --> 1:08:41.479
<v Speaker 13>matchmaking service and she's very good at it. She has

1:08:41.479 --> 1:08:44.280
<v Speaker 13>a string of marriages under her belt, and she has

1:08:44.439 --> 1:08:46.559
<v Speaker 13>a couple of guys come into her life. One of

1:08:46.560 --> 1:08:49.800
<v Speaker 13>them is her ex, who is Chris Evans, who is

1:08:49.840 --> 1:08:53.759
<v Speaker 13>a struggling cater waiter and actor obviously looks like Captain

1:08:53.800 --> 1:08:54.960
<v Speaker 13>America and.

1:08:54.840 --> 1:08:56.240
<v Speaker 1>Then checks off a few bucks.

1:08:56.240 --> 1:08:56.639
<v Speaker 5>It's yere.

1:08:57.960 --> 1:09:01.160
<v Speaker 13>And then Pedro Pascal wanders in her life and he's

1:09:01.200 --> 1:09:05.080
<v Speaker 13>a billionaire who just wants to treat her extremely well

1:09:05.240 --> 1:09:07.240
<v Speaker 13>and take her out to Oma Casse meals and have

1:09:07.320 --> 1:09:10.439
<v Speaker 13>her sleep on footage sheets and she has, you know,

1:09:10.520 --> 1:09:12.400
<v Speaker 13>somehow a hard time choosing between the checks.

1:09:12.439 --> 1:09:15.439
<v Speaker 3>A few blocks is there, And we should note it's

1:09:15.479 --> 1:09:18.320
<v Speaker 3>not like a cut and dry sort of situation here.

1:09:18.320 --> 1:09:22.280
<v Speaker 3>It's complicated. There's some nuance and there's also some historical

1:09:22.280 --> 1:09:24.040
<v Speaker 3>precedence when it comes to the storytelling.

1:09:24.439 --> 1:09:24.679
<v Speaker 8>Yeah.

1:09:24.680 --> 1:09:27.720
<v Speaker 13>So a lot of times the movie value system in

1:09:27.800 --> 1:09:31.559
<v Speaker 13>romantic comedies will reward following your heart, and that is

1:09:31.600 --> 1:09:35.000
<v Speaker 13>often away from the rich person or you know, like

1:09:35.040 --> 1:09:37.160
<v Speaker 13>in You've Got Mail, they sort of found a way

1:09:37.240 --> 1:09:39.519
<v Speaker 13>to for Meg Ryan and Tom Hanks to end up

1:09:39.560 --> 1:09:42.040
<v Speaker 13>together in spite of the money. And in this case

1:09:43.080 --> 1:09:45.280
<v Speaker 13>Celine's song saying, you know what, that can be part

1:09:45.320 --> 1:09:48.040
<v Speaker 13>of your decision. You can decide based on what your

1:09:48.040 --> 1:09:50.760
<v Speaker 13>lifestyle is going to be like, and you know, it's

1:09:50.760 --> 1:09:53.160
<v Speaker 13>not necessarily a bad thing. It's just you can always

1:09:53.200 --> 1:09:54.760
<v Speaker 13>go back into the marketplace it doesn't work out.

1:09:54.960 --> 1:09:57.000
<v Speaker 1>I love it because there's kind of a practical side

1:09:57.040 --> 1:09:58.479
<v Speaker 1>to it, like, Okay, see what do we need? What

1:09:58.479 --> 1:09:59.960
<v Speaker 1>do I want? What do I it's going to make

1:10:00.439 --> 1:10:03.640
<v Speaker 1>and we all could probably you know, agree that a

1:10:03.720 --> 1:10:06.800
<v Speaker 1>relationship is good for a couple of different reasons. Yeah,

1:10:07.600 --> 1:10:09.040
<v Speaker 1>and so you need to kind of think about it.

1:10:09.080 --> 1:10:11.519
<v Speaker 1>I love kind of the pragmatic aspect of this, right

1:10:12.600 --> 1:10:15.160
<v Speaker 1>although I'm a romantic at heart, so I'm just gonna

1:10:15.200 --> 1:10:15.639
<v Speaker 1>leave it there.

1:10:15.840 --> 1:10:19.320
<v Speaker 3>Hey, let's go from screen to stage. I love this

1:10:19.360 --> 1:10:22.920
<v Speaker 3>feature that you have in Bloomberg Pursuits Chris about somebody

1:10:22.920 --> 1:10:26.240
<v Speaker 3>who's really trying to reinvent the Broadway experience. Greg Noble

1:10:26.280 --> 1:10:27.040
<v Speaker 3>tell us about him.

1:10:27.200 --> 1:10:27.280
<v Speaker 5>So.

1:10:27.400 --> 1:10:31.160
<v Speaker 13>Greg Noble is a producer who runs a company called

1:10:31.200 --> 1:10:34.920
<v Speaker 13>Cview Productions, and it's partially owned by Sony, and it

1:10:35.000 --> 1:10:37.280
<v Speaker 13>has done a lot of really big productions. So currently

1:10:37.320 --> 1:10:39.240
<v Speaker 13>they have good Night and Good Luck, which is which

1:10:39.240 --> 1:10:42.960
<v Speaker 13>stars George Clooney. Tickets are now like upwards of eight

1:10:43.040 --> 1:10:46.320
<v Speaker 13>hundred dollars per sept because of dynamic pricing. It's up

1:10:46.360 --> 1:10:49.000
<v Speaker 13>for like five Tony Awards on June eighth. So he's

1:10:49.040 --> 1:10:52.160
<v Speaker 13>mastered kind of these big shows. You know, he's done.

1:10:52.200 --> 1:10:54.759
<v Speaker 13>He did Romeo and Juliette with Rachel Zegeler and Kit Connor,

1:10:54.920 --> 1:10:56.880
<v Speaker 13>was like totally sold out. All gen Z wanted to

1:10:56.880 --> 1:11:00.360
<v Speaker 13>go see it. But what he's doing next is he's

1:11:00.360 --> 1:11:03.720
<v Speaker 13>actually building out a small theater where he's going to

1:11:03.720 --> 1:11:06.839
<v Speaker 13>do small shows just like under three hundred seats. Tickets

1:11:06.840 --> 1:11:10.040
<v Speaker 13>are going to be like seventy nine dollars, and he's

1:11:10.120 --> 1:11:13.120
<v Speaker 13>going to start working on small shows to try to

1:11:13.200 --> 1:11:16.479
<v Speaker 13>develop stuff that can go on to be bigger.

1:11:16.560 --> 1:11:20.520
<v Speaker 3>I don't understand how you can from a pricing perspective,

1:11:21.080 --> 1:11:24.639
<v Speaker 3>if a traditional Broadway show that right now, yes it's

1:11:24.640 --> 1:11:26.200
<v Speaker 3>the hot show at the moment, good Night and good

1:11:26.280 --> 1:11:28.320
<v Speaker 3>Luck and George Clooney's in it, how can you go

1:11:28.479 --> 1:11:31.080
<v Speaker 3>smaller but still have it be an affordable experience.

1:11:31.560 --> 1:11:34.360
<v Speaker 13>So it takes a lot of You mean, how does

1:11:34.400 --> 1:11:35.519
<v Speaker 13>the producer go small way?

1:11:35.640 --> 1:11:35.920
<v Speaker 5>Yeah?

1:11:36.120 --> 1:11:37.760
<v Speaker 3>Yeah, So it's like how does that attract How does

1:11:37.760 --> 1:11:40.080
<v Speaker 3>it attract shows if there are fewer people who are

1:11:40.080 --> 1:11:42.360
<v Speaker 3>going to see it, Because as you note in the piece,

1:11:42.760 --> 1:11:45.479
<v Speaker 3>this oftentimes is a money losing prospect for people who

1:11:45.600 --> 1:11:46.520
<v Speaker 3>back these financially.

1:11:46.720 --> 1:11:48.639
<v Speaker 13>Yeah, if you invest in a Broadway show, you really

1:11:48.720 --> 1:11:51.040
<v Speaker 13>only get like recouper get your money back about twenty

1:11:51.040 --> 1:11:53.640
<v Speaker 13>percent of the time. So it's like not a good investment.

1:11:54.160 --> 1:11:55.960
<v Speaker 13>But it costs a ton of money to go on

1:11:56.000 --> 1:12:00.240
<v Speaker 13>Broadway because there's union costs which are quite high. The

1:12:00.240 --> 1:12:02.439
<v Speaker 13>week two week running costs of a big show with

1:12:02.479 --> 1:12:04.439
<v Speaker 13>a cast and a big creative crew, it can be

1:12:04.520 --> 1:12:07.599
<v Speaker 13>quite a lot. And so they're capitalized at you know,

1:12:08.160 --> 1:12:10.760
<v Speaker 13>ten twenty million dollars. A musical will be twenty million dollars.

1:12:10.800 --> 1:12:12.559
<v Speaker 13>A Good Night and Good Luck is ten million dollars.

1:12:12.760 --> 1:12:15.960
<v Speaker 13>The first show at Studio Cview, which is Greg's new theater,

1:12:16.360 --> 1:12:18.320
<v Speaker 13>is called Angry Allan. It's by a kind of lesser

1:12:18.360 --> 1:12:21.920
<v Speaker 13>known playwright starring John Krasinski. It was capitalized for one

1:12:21.960 --> 1:12:26.040
<v Speaker 13>point five million dollars. That's way less, and that means

1:12:26.040 --> 1:12:27.960
<v Speaker 13>that's like a totally different scale of what you need

1:12:28.000 --> 1:12:30.320
<v Speaker 13>to earn back. And there'll be you know, low price

1:12:30.360 --> 1:12:32.240
<v Speaker 13>tickets and then there'll be tickets more of more than

1:12:32.280 --> 1:12:35.360
<v Speaker 13>three hundred dollars. And Greg believes that both of those

1:12:35.360 --> 1:12:36.759
<v Speaker 13>audiences should be in one place.

1:12:36.840 --> 1:12:39.200
<v Speaker 1>I kind of love it, right, It's almost like an incubator, like,

1:12:39.240 --> 1:12:41.000
<v Speaker 1>you know, right, just to play around with some stuff,

1:12:41.040 --> 1:12:43.160
<v Speaker 1>but you see a celebrity. But I love the idea

1:12:43.200 --> 1:12:45.639
<v Speaker 1>of a smaller format, right. It kind of is cozier.

1:12:45.760 --> 1:12:45.920
<v Speaker 7>Yeah.

1:12:45.960 --> 1:12:48.320
<v Speaker 13>And Greg's thing is, like you it's a bad experience

1:12:48.360 --> 1:12:50.519
<v Speaker 13>to go to the theater, like everyone's in line it's

1:12:50.520 --> 1:12:52.840
<v Speaker 13>probably raining. You get in there, they're kind of yelling

1:12:52.880 --> 1:12:54.280
<v Speaker 13>at you to look through your bag and then they

1:12:54.320 --> 1:12:56.479
<v Speaker 13>shove you like a glass of wine with this in

1:12:56.560 --> 1:13:00.600
<v Speaker 13>a sippy cup, and so it's just feel great and

1:13:00.600 --> 1:13:02.400
<v Speaker 13>you're spending so much money on it. And he so

1:13:02.439 --> 1:13:05.280
<v Speaker 13>Greg's building out this like Q theater with a bar

1:13:05.360 --> 1:13:07.280
<v Speaker 13>where he's going to stay late, open after shows.

1:13:07.360 --> 1:13:08.080
<v Speaker 1>Where's it going to be.

1:13:08.479 --> 1:13:11.360
<v Speaker 13>It's on forty third and eighth. Okay, yeah, it's right

1:13:11.400 --> 1:13:14.320
<v Speaker 13>in your Times Square and it's just going to be

1:13:14.320 --> 1:13:15.960
<v Speaker 13>like a vibe kind of place to hang out. It's

1:13:15.960 --> 1:13:17.880
<v Speaker 13>an old theater, it was a theater, a nonprofit theater

1:13:17.960 --> 1:13:19.479
<v Speaker 13>before where a lot of really cool shows have been.

1:13:20.280 --> 1:13:22.639
<v Speaker 1>Just something about this dude, because it sounds like since

1:13:22.640 --> 1:13:24.960
<v Speaker 1>he's a kid, he's been like moving towards it.

1:13:25.080 --> 1:13:26.760
<v Speaker 13>I think that's the best story. When he was a

1:13:26.760 --> 1:13:29.799
<v Speaker 13>little kid, one of his friends was diagnosed with terminal

1:13:29.800 --> 1:13:32.960
<v Speaker 13>cancer and so he started a lemonade stand, selling lemonade

1:13:33.000 --> 1:13:37.200
<v Speaker 13>to fundraise for research. And one day he was like

1:13:37.240 --> 1:13:39.479
<v Speaker 13>a theater geek, like and his friends were. He was like,

1:13:39.479 --> 1:13:42.120
<v Speaker 13>what if we start putting on shows and selling tickets

1:13:42.120 --> 1:13:44.640
<v Speaker 13>to fundraise? And then they did it for years and

1:13:44.720 --> 1:13:47.080
<v Speaker 13>years and they raised two hundred thousand dollars. These kids

1:13:47.160 --> 1:13:48.360
<v Speaker 13>from like fourth grade.

1:13:48.360 --> 1:13:48.920
<v Speaker 1>It's amazing.

1:13:49.439 --> 1:13:51.080
<v Speaker 13>And that's how he was like, wait, I could be

1:13:51.080 --> 1:13:52.719
<v Speaker 13>a producer. I could do this for my life.

1:13:52.760 --> 1:13:55.519
<v Speaker 1>And here he is. Yeah, good stuff. More details, so

1:13:55.600 --> 1:13:58.360
<v Speaker 1>much details in this story. So highly recommend you check

1:13:58.400 --> 1:14:00.400
<v Speaker 1>out this story by our own Chris Route and that

1:14:00.479 --> 1:14:01.280
<v Speaker 1>is Chris Rouser.

1:14:01.520 --> 1:14:04.920
<v Speaker 3>He's the editor of Bloomberg Pursuits. Also our favorite guy.

1:14:05.000 --> 1:14:05.679
<v Speaker 13>Oh you guys.

1:14:05.800 --> 1:14:07.920
<v Speaker 3>Catch these stories on the Bloomberg and at Bloomberg dot

1:14:07.960 --> 1:14:11.440
<v Speaker 3>com slash BusinessWeek. Also in the June issue of BusinessWeek

1:14:11.479 --> 1:14:13.679
<v Speaker 3>magazine that's out on news stands on June tenth.

1:14:13.960 --> 1:14:16.320
<v Speaker 1>I'm serious, Chris, like Tim and I are pretty cranky,

1:14:16.439 --> 1:14:18.160
<v Speaker 1>Like as we kicked off our day today, you look

1:14:18.200 --> 1:14:20.080
<v Speaker 1>in and we're like smiling and having fun.

1:14:20.160 --> 1:14:22.559
<v Speaker 13>You guys always make my week the whole week.

1:14:22.640 --> 1:14:24.880
<v Speaker 1>Well, thank you, thank you, and that reps ups the

1:14:24.880 --> 1:14:28.040
<v Speaker 1>weekend edition of Bloomberg Business Week from Bloomberg Radio from Chris,

1:14:28.080 --> 1:14:30.200
<v Speaker 1>me and Tim. Thank you so much for joining us.

1:14:30.320 --> 1:14:31.880
<v Speaker 1>Have a good and safe weekend everyone.

1:14:32.200 --> 1:14:36.840
<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple,

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