WEBVTT - Bloomberg Businessweek Weekend - January 3rd, 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 Insight from the reporters and

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<v Speaker 2>editors that bring you America's most trusted business magazine, plus.

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<v Speaker 3>Global business, finance and tech news.

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<v Speaker 2>The Bloomberg Business Week Podcast with Carol Masser and Tim

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<v Speaker 2>Stenoveek on Bloomberg Radio.

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<v Speaker 4>Hi, everyone, Welcome to the Bloomberg Business Wee Weekend Podcast.

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<v Speaker 4>Happy New Year. It's our first week of twenty twenty five,

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<v Speaker 4>and as we enter the new year, we wanted to

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<v Speaker 4>take a look into some of the key developments that

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<v Speaker 4>could shape the next half decade, from US policy under

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<v Speaker 4>a second Trump term, aised insatiable demand for electricity harming

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<v Speaker 4>the climate, to the decades long battle to control what

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<v Speaker 4>has emerged as the world's most critical resource, semiconductors.

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<v Speaker 5>So ahead on the program, we'll examine the year ahead,

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<v Speaker 5>touching on Bloomberg Business Week's annual fifty Companies to watch,

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<v Speaker 5>the next stage of aiuse and adoption, and he taught

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<v Speaker 5>Feuds That'll define twenty twenty five.

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<v Speaker 4>Accept everybody, because they're going to come at you. Plus,

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<v Speaker 4>our Bloomberg Pursuits team has the ultimate travel guide for

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<v Speaker 4>the next twelve months with help from the folks over

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<v Speaker 4>at Kayak who gathered billions, yes billions, of data points

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<v Speaker 4>to give you personalized, month by month estimates for the

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<v Speaker 4>destinations of your choice.

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<v Speaker 5>All that to come, we begin, though, with the Bloomberg

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<v Speaker 5>Business Week Year Ahead issue for twenty twenty five. Each year,

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<v Speaker 5>the Bloomberg Business Week team provides a comprehensive outlook on

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<v Speaker 5>the most important economic, business, technological, and geopolitical trends expected

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<v Speaker 5>to shape the coming year.

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<v Speaker 4>According to Mariam Webster you know the Dictionary, twenty twenty

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<v Speaker 4>four was the year of polarization. Political divisions affected not

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<v Speaker 4>only the state of affairs within the United States, but

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<v Speaker 4>safe to say, also around the world. However, it's optimism

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<v Speaker 4>that Bloomberg Business Week editor Bradstone wanted to focus on.

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<v Speaker 5>In the opening remarks of the Year Ahead issue, Brad

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<v Speaker 5>gives us the optimist guide to a chaotic world. We

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<v Speaker 5>ask Brad why he chose to be hopeful for twenty

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<v Speaker 5>twenty five.

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<v Speaker 6>It was a little.

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<v Speaker 7>Tricky because, you know, we had just subjected our readers

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<v Speaker 7>to months and months of our political coverage, including our

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<v Speaker 7>December issue, which was we produced the week after the

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<v Speaker 7>result in the US election, with a full complement the

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<v Speaker 7>stories about what the Trump victory meant. And so as

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<v Speaker 7>we looked ahead in our annual year head package, really

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<v Speaker 7>I wanted to stretch our arms a little bit to

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<v Speaker 7>get beyond the politics story.

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<v Speaker 8>You know.

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<v Speaker 7>So we've got this collection of stories about, for example,

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<v Speaker 7>an interview with the Property Brothers, these great the influencer

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<v Speaker 7>real estate influencers, this massive infrastructure project to keep Karp

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<v Speaker 7>out of the Great Lakes, you know, just all these stories.

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<v Speaker 7>There's another good one from Tom Orleck, our chief economists,

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<v Speaker 7>on you know what the Trump agenda means for the

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<v Speaker 7>global economy and how it might not necessarily mean lower growth.

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<v Speaker 6>So anyways, you know, taking a little bit of a

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<v Speaker 6>different approach than we had in the past.

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<v Speaker 7>And then you know which, and this informed my opening

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<v Speaker 7>remarks trying to maybe be a little bit more optimistic.

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<v Speaker 7>I mean, if the new year isn't a time for optimism,

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<v Speaker 7>than what is?

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<v Speaker 4>I love that.

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<v Speaker 5>Well, okay, so once you thought all this through for

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<v Speaker 5>the year ahead issue, you do give us this optimist

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<v Speaker 5>guide to a chaotic world. And you spoke to Harvard

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<v Speaker 5>psychologist Stephen Pinker, who kind of says, like this is

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<v Speaker 5>all our fault. As journalists and writers of headlines.

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<v Speaker 6>Well, no, I mean, am I.

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<v Speaker 5>Am I projecting here? Am I projecting here?

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<v Speaker 7>He acknowledges that, you know, the job of the news

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<v Speaker 7>is to cover things that are happening, and things that

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<v Speaker 7>are happening that deviate from the norm, you know, can

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<v Speaker 7>be negative things.

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<v Speaker 6>But the point was that the norm is pretty good, you.

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<v Speaker 7>Know, and that there's no greater time to be alive.

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<v Speaker 7>And you look at numbers like vaccines reducing mortality by

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<v Speaker 7>forty percent over the past half century, or Africa infectious

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<v Speaker 7>disease deaths decreasing forty two percent since twenty fifteen, you know,

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<v Speaker 7>even good news in terms of carbon emissions lowering.

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<v Speaker 6>That these are things that we should pay attention to.

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<v Speaker 7>And so that you know, that was sort of the

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<v Speaker 7>framework that you know, however one feels about political changes

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<v Speaker 7>in the US or in Western Europe, that you know,

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<v Speaker 7>there's a backdrop that is actually pretty pretty rosy.

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<v Speaker 4>Yeah, you know what's kind of interesting. I have to say,

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<v Speaker 4>reading through your column, I thought about sometimes I get

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<v Speaker 4>into a cab, typically in New York City, and it

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<v Speaker 4>often is somebody from that wasn't born here, and we

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<v Speaker 4>started having a conversation, they're like, you have no idea

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<v Speaker 4>how great this country is. And like we'll talk about

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<v Speaker 4>division or something and they're like, you have no idea

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<v Speaker 4>how great it is.

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<v Speaker 5>Why you're uberrating is one star? No, I'm just kidding.

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<v Speaker 4>I'm just saying, but I do think that's what you

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<v Speaker 4>get to And you know, when you when we cut,

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<v Speaker 4>it's so easy for us to be in it day

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<v Speaker 4>to day. And sometimes Tim and I go through a

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<v Speaker 4>show Man and we're like, wow, that was dark. But

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<v Speaker 4>if you broadened out right the lens, like you right,

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<v Speaker 4>we have made some really great advancements on a lot

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<v Speaker 4>of different front spread.

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<v Speaker 7>And by the way, you know, I didn't want to

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<v Speaker 7>be completely a political I mean it is a time

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<v Speaker 7>to be optimistic about a new presidential administration. I think

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<v Speaker 7>we should get give every incoming president the benefit of

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<v Speaker 7>the doubt.

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<v Speaker 6>And so you know, when it comes to you know.

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<v Speaker 7>Regulating nuclear energy, you know, a technology that has historically

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<v Speaker 7>made a lot of people squeamish.

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<v Speaker 6>You know, that's that's perhaps something to look forward to.

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<v Speaker 9>You know.

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<v Speaker 5>Robert I. F.

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<v Speaker 7>Kennedy Junior gets a lot of attention for his unorthodox show.

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<v Speaker 7>We say view on vaccines or fluoride in the drinking water.

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<v Speaker 7>But you know, rethinking public health guidelines, looking again at

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<v Speaker 7>ultra processed foods in the in the food chain. You know,

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<v Speaker 7>I was in the mood to see the silver lining,

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<v Speaker 7>let's say, and I think it's a good time to

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<v Speaker 7>do that.

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<v Speaker 5>We'll talk a little bit about this sort of the

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<v Speaker 5>Silicon Valley angle here with Elon Musk and the Department

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<v Speaker 5>of Government Efficiency and what that could actually do well.

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<v Speaker 7>I mean, look, let's you know, at this point, take

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<v Speaker 7>them at their word that they're trying to get make

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<v Speaker 7>government more efficient, boost business activity, roll back the regulations

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<v Speaker 7>that have made it difficult to build infrastructure, say, roll

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<v Speaker 7>out high speed trains. You know, there there isn't any

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<v Speaker 7>reason to be complacent about the status quo in the

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<v Speaker 7>United States when we look at how quickly other countries

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<v Speaker 7>are able to do big things, and so you know

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<v Speaker 7>we should be you know, give give Elon the benefit

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<v Speaker 7>of the doubt. I mean, he's behaved a little bit

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<v Speaker 7>like a blunt force instrument. But you know, I I

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<v Speaker 7>was listening to Mark Andriesen on a on a podcast recently,

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<v Speaker 7>and there has been a lot of frustration in Silicon

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<v Speaker 7>Valley about their ability.

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<v Speaker 6>To develop new technologies.

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<v Speaker 7>And so look there there, their candidate was elected, and

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<v Speaker 7>you know, we're going to see if if they can

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<v Speaker 7>make a difference.

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<v Speaker 4>I just want to know, though, did you originally when

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<v Speaker 4>you started thinking about it, and you're like, I'm going

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<v Speaker 4>to ride a column that you know, there's a lot

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<v Speaker 4>of questions and it feels a little dark, And then

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<v Speaker 4>do you're like, well, wait a minute, glasses half full,

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<v Speaker 4>glasses half empty. I'm just curious if you did two

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<v Speaker 4>versions of this, Brad.

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<v Speaker 6>I gave myself.

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<v Speaker 7>I gave myself the challenge of writing a story with

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<v Speaker 7>the headline, you know, the search for optimism or a

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<v Speaker 7>guide to optimism. I just felt and I don't know

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<v Speaker 7>where the notion came from. You know, you guys know

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<v Speaker 7>I'm here in the Bay Area, so excuse me. So

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<v Speaker 7>you know, there there is the there was a lot

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<v Speaker 7>of hiding under the dining room table in my community,

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<v Speaker 7>and so I wanted to look at things from a

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<v Speaker 7>little bit of a different perspective.

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<v Speaker 4>Yeah, I love it.

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<v Speaker 5>I want to hear a little bit about your thoughts

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<v Speaker 5>on the tech firms kind of making the pilgrimage tomorrow lago,

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<v Speaker 5>just in recent weeks. We had Jeff Bezos down there

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<v Speaker 5>earlier this week. There's probably nobody who knows more about

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<v Speaker 5>Jeff Bezos than you. How would you describe a meeting

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<v Speaker 5>like that with President Trump? And sort of the context

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<v Speaker 5>around that President like Trump opportunistic.

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<v Speaker 7>I mean, look, there's no mystery around how to work

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<v Speaker 7>with the federal government when Donald Trump is president.

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<v Speaker 6>Then you know, you go and you kiss.

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<v Speaker 7>The ring, so to speak, and he responds to that,

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<v Speaker 7>and so we're seeing one CEO after the other go

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<v Speaker 7>do that now. In Jeffs case, it was interesting because

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<v Speaker 7>Elon Musk shows up at his table, maybe to his

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<v Speaker 7>no doubt considerable surprise. But you know, Jeff has a

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<v Speaker 7>lot writing on this administration. He's got his company, Blue Origin,

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<v Speaker 7>has the new Glen orbital rocket sitting on the launch

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<v Speaker 7>pad at Cape Canaveral waiting, waiting to be approved, and

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<v Speaker 7>so you know he he needs a partnership with this

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<v Speaker 7>federal government and probably not the kind of acrimony that

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<v Speaker 7>existed between him and Trump during Trump's first term. And

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<v Speaker 7>look and shoot Chew, the CEO of TikTok also going

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<v Speaker 7>down there as he faces a deadline for Byte Dance,

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<v Speaker 7>the Chinese company, the cell TikTok.

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<v Speaker 6>All these leaders know that the path to getting what

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<v Speaker 6>they want is.

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<v Speaker 7>A little bit of sycofancye, and so that is why

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<v Speaker 7>they are in Margot bar Lago.

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<v Speaker 4>Well, great stuff as always, Happy New Year, Happy holidays, Brad.

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<v Speaker 4>Always good to check in with you, looking forward to

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<v Speaker 4>the new issue. Bradstone, Editor of Bloomberg BusinessWeek, author of

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<v Speaker 4>many books, including Amazon Unbound. You are listening to Bloomberg Radio.

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<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

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<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

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<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

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<v Speaker 2>or watch us Live on YouTube.

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<v Speaker 4>When we think about the year ahead, one storyline worth

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<v Speaker 4>paying attention to the escalating trade war between the United

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<v Speaker 4>States and China over the future of advanced semiconductor manufacturing.

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<v Speaker 5>Virtually everything from missiles to microwaves runs on chips, including cars, smartphones,

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<v Speaker 5>the stock market, even the electric grid. In twenty twenty four,

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<v Speaker 5>the Biden administration limited further advancements of China's semiconductor industry

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<v Speaker 5>by blocking several companies from receiving exports of certain chip

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<v Speaker 5>technology from China. Beijing responded by banning exports of critical

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<v Speaker 5>minerals to the US.

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<v Speaker 4>Feels a bit frosty, to say the least. This tit

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<v Speaker 4>for tap between the two global superpowers is set to

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<v Speaker 4>grow even further in twenty twenty five, at least that's

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<v Speaker 4>the expectations this as President elect Donald Trump has promised

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<v Speaker 4>tariffs on Chinese goods. All of this while companies around

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<v Speaker 4>the world try to adjust their supply chains. Needless to say,

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<v Speaker 4>the stakes are high.

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<v Speaker 5>Someone who knows the semiconductor space well as Chris Miller.

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<v Speaker 5>He's Associate Professor of International history at Tufts University, and

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<v Speaker 5>he's the author of the book on chips, the New

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<v Speaker 5>York Times bestseller Chip War, The Fight for the World's

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<v Speaker 5>Most Critical Technology. He ties it to today's US China rivalry.

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<v Speaker 9>There are two big shifts happening simultaneously right now. One

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<v Speaker 9>is the served of spending on AI infrastructure, which means

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<v Speaker 9>lots of very expensive AI accelerators in high powered data

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<v Speaker 9>sens And two is the ratcheting up of tension around

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<v Speaker 9>the US and China, with the new administration in the

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<v Speaker 9>US planning to increase tariffs and controls on China's semiconductor industry.

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<v Speaker 9>So those two trends are intersecting in ways that impact

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<v Speaker 9>pretty much every company in the sector.

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<v Speaker 4>Where are we going to see that kind of line

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<v Speaker 4>in the sand when it comes to selling technology to China?

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<v Speaker 4>And then the big tech company is saying, but wait

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<v Speaker 4>a minute, this starts to impact our business because China

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<v Speaker 4>is a massive market.

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<v Speaker 9>I think we talked to any CEO or executive off

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<v Speaker 9>the record, and they'll say that my biggest problem is

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<v Speaker 9>that China is both my largest customer and my number

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<v Speaker 9>one competitor in most cases, and that, I think structures

0:11:40.520 --> 0:11:43.560
<v Speaker 9>how the industry deals with this issue and tries to

0:11:43.600 --> 0:11:46.200
<v Speaker 9>lobby the US government. They all sort of understand the

0:11:46.240 --> 0:11:49.160
<v Speaker 9>logic of the US government, understand that chips are key

0:11:49.280 --> 0:11:52.520
<v Speaker 9>for AI, understand that AI is key to national security

0:11:52.559 --> 0:11:55.640
<v Speaker 9>as well as economic prosperity. But they all also realize

0:11:55.679 --> 0:11:59.080
<v Speaker 9>that they have really substantial markets in China. And so

0:11:59.400 --> 0:12:01.800
<v Speaker 9>wherever you look the supply chain of the makers of

0:12:01.840 --> 0:12:05.000
<v Speaker 9>the tools that make chips, the manufacturers of chips themselves,

0:12:05.240 --> 0:12:07.160
<v Speaker 9>they're all going to lobby, and they all have lobbied

0:12:07.240 --> 0:12:10.520
<v Speaker 9>very successfully to keep their ability to sell to China open,

0:12:11.200 --> 0:12:14.880
<v Speaker 9>and the national security apparatus, the Pentagon, the Commerce Department,

0:12:14.920 --> 0:12:18.440
<v Speaker 9>the intelligence agencies are pushing for more restrictions than companies

0:12:18.520 --> 0:12:21.640
<v Speaker 9>themselves want, and that a balancing act that any president

0:12:21.679 --> 0:12:23.920
<v Speaker 9>of got a balance. I think we've seen the Biden

0:12:23.920 --> 0:12:28.640
<v Speaker 9>administration end up with a more lapse approach than one

0:12:28.679 --> 0:12:32.120
<v Speaker 9>might have expected given their early tough rhetoric on this issue,

0:12:32.120 --> 0:12:34.000
<v Speaker 9>and it'll be interesting to watch how the Trump administration

0:12:34.640 --> 0:12:37.880
<v Speaker 9>addresses this balance. There will certainly be voices of administration saying,

0:12:38.200 --> 0:12:41.319
<v Speaker 9>let's focus on continue to export to China of technology.

0:12:41.360 --> 0:12:44.120
<v Speaker 9>It's important economically, But there will also be voices on

0:12:44.160 --> 0:12:48.000
<v Speaker 9>the opposite side saying, if you export advanced technology to China,

0:12:48.080 --> 0:12:51.320
<v Speaker 9>you're only giving China the capability to learn how to

0:12:51.360 --> 0:12:54.920
<v Speaker 9>manufacture high end ships domestically and eventually replace US firms

0:12:54.920 --> 0:12:55.720
<v Speaker 9>in the Chinese market.

0:12:55.840 --> 0:12:58.080
<v Speaker 4>Chris, with your understanding and knowledge of this world, are

0:12:58.080 --> 0:13:02.640
<v Speaker 4>we right, us, the United States, right to be concerned

0:13:03.000 --> 0:13:06.520
<v Speaker 4>about exporting technology to China. We've certainly seen this play

0:13:06.520 --> 0:13:09.160
<v Speaker 4>out where things get exported the technology and China becomes

0:13:09.240 --> 0:13:10.920
<v Speaker 4>really good at doing things. We're seeing it kind of

0:13:10.920 --> 0:13:13.679
<v Speaker 4>play out in the EV market as we speak. So

0:13:13.760 --> 0:13:18.000
<v Speaker 4>I'm curious how concerned should we that we will export

0:13:18.080 --> 0:13:22.160
<v Speaker 4>our expertise, our knowledge and lose control of another industry.

0:13:22.920 --> 0:13:23.080
<v Speaker 3>You know.

0:13:23.080 --> 0:13:26.120
<v Speaker 9>I think it's worth noting that China only imports a

0:13:26.200 --> 0:13:31.319
<v Speaker 9>couple of types of manufactured goods semiconductors semiconductor manufacturing equipment.

0:13:31.360 --> 0:13:34.600
<v Speaker 9>Those are the two largest categories of China's manufactured good imports,

0:13:34.600 --> 0:13:37.839
<v Speaker 9>because China can produce everything else that needs domestically when

0:13:37.840 --> 0:13:40.320
<v Speaker 9>it comes to manufactured goods, and I think that speaks

0:13:40.360 --> 0:13:43.360
<v Speaker 9>to China's capabilities in this sphere, which means that the

0:13:43.360 --> 0:13:46.280
<v Speaker 9>more capabilities you give to China, the more you're be

0:13:46.280 --> 0:13:49.240
<v Speaker 9>able to use those to replace Western firms. And they're

0:13:49.320 --> 0:13:53.439
<v Speaker 9>desire to replace Western firms, and I think eminently well documented.

0:13:53.480 --> 0:13:55.960
<v Speaker 9>It's evidence in the fact that they don't buy anything

0:13:55.960 --> 0:13:59.080
<v Speaker 9>abroad unless they absolutely have to. And I think sem

0:13:59.160 --> 0:14:01.720
<v Speaker 9>conductor companies are all worried that their market share is

0:14:01.760 --> 0:14:04.400
<v Speaker 9>going to decline over time, and I think they all

0:14:04.440 --> 0:14:06.480
<v Speaker 9>realize that the more chip making tools that are hould

0:14:06.480 --> 0:14:07.959
<v Speaker 9>the China accelerates that process.

0:14:08.120 --> 0:14:10.559
<v Speaker 5>Just remind everybody sort of in the chip ecosystem and

0:14:10.640 --> 0:14:13.880
<v Speaker 5>the world of chip ecosystems, where broadcomplays.

0:14:13.320 --> 0:14:16.160
<v Speaker 9>Broad comes one of the biggest designers of semiconductors. They

0:14:16.200 --> 0:14:19.240
<v Speaker 9>don't manufacture, but they do the design process, and they've

0:14:19.280 --> 0:14:24.560
<v Speaker 9>been focusing in particular on designing AI chips for other companies,

0:14:24.560 --> 0:14:26.960
<v Speaker 9>some of the big hyperscalers that are investing in their

0:14:27.000 --> 0:14:30.320
<v Speaker 9>own ship designs. Those are often done in partnership today

0:14:30.320 --> 0:14:30.920
<v Speaker 9>with Broadcom.

0:14:31.080 --> 0:14:33.640
<v Speaker 5>So looking across the ecosystem, who does Broadcom have to

0:14:33.640 --> 0:14:35.600
<v Speaker 5>be most worried about? Because we got that report from

0:14:35.640 --> 0:14:39.640
<v Speaker 5>the information about Apple working with Broadcom. These two companies

0:14:39.680 --> 0:14:42.160
<v Speaker 5>have sort of done this dance of scorpions where they

0:14:42.160 --> 0:14:45.280
<v Speaker 5>sting each other. But also then well he was saying,

0:14:45.280 --> 0:14:47.040
<v Speaker 5>it was like, what mating scorpions? Is that right?

0:14:47.080 --> 0:14:49.600
<v Speaker 4>Yes? Or two scorpions mating?

0:14:49.760 --> 0:14:50.400
<v Speaker 5>Yeah, we're there.

0:14:50.400 --> 0:14:53.040
<v Speaker 4>You know, it's not easy. I wants a little complicated.

0:14:53.040 --> 0:14:54.960
<v Speaker 5>I won't describe it, but let's just use the term

0:14:54.960 --> 0:14:55.840
<v Speaker 5>frenemies instead.

0:14:55.960 --> 0:14:56.400
<v Speaker 4>Perfect.

0:14:57.240 --> 0:15:00.680
<v Speaker 9>You know, I think that's that's a great analo. Broad

0:15:00.680 --> 0:15:02.800
<v Speaker 9>companies is a really wide range of products, and so

0:15:02.840 --> 0:15:05.880
<v Speaker 9>they simultaneously cooperate and compete with a bunch of different

0:15:05.880 --> 0:15:09.640
<v Speaker 9>companies in the technology space. I think if you focus

0:15:09.680 --> 0:15:13.080
<v Speaker 9>on the AI portion of their portfolio, in some ways

0:15:13.120 --> 0:15:16.080
<v Speaker 9>they're competing with in Nvidia because a lot of the

0:15:16.360 --> 0:15:20.440
<v Speaker 9>in house design processors that the Hyperscalers are designing right

0:15:20.440 --> 0:15:24.600
<v Speaker 9>now are intended to be replacements for invidious products, at

0:15:24.640 --> 0:15:27.200
<v Speaker 9>least to a certain degree. And so I think investors

0:15:27.200 --> 0:15:30.040
<v Speaker 9>going to look at this result and ask, what does

0:15:30.120 --> 0:15:33.280
<v Speaker 9>this mean for the process of bringing more chip design

0:15:33.320 --> 0:15:35.800
<v Speaker 9>in house at some of the big hyperscalers.

0:15:35.960 --> 0:15:37.440
<v Speaker 5>Hey, Chris, can I have to leave it there? I

0:15:37.440 --> 0:15:39.120
<v Speaker 5>always love it when you take the time to join us.

0:15:39.120 --> 0:15:42.720
<v Speaker 5>Do appreciate that very much. Chris Miller Associate Professor of

0:15:42.800 --> 0:15:45.240
<v Speaker 5>International History at Tufts University. He's the author of the

0:15:45.240 --> 0:15:48.000
<v Speaker 5>New York Times best selling book Chip War, The Fight

0:15:48.280 --> 0:15:55.480
<v Speaker 5>for the World's most Critical Technology.

0:15:56.920 --> 0:16:01.120
<v Speaker 2>This is the Bloomberg Business Week podcast, live each weekday

0:16:01.160 --> 0:16:04.480
<v Speaker 2>starting a two pm Eastern on Applecarplay and the Android

0:16:04.520 --> 0:16:07.400
<v Speaker 2>Auto with the Bloomberg Business App. You can also listen

0:16:07.480 --> 0:16:10.400
<v Speaker 2>live on Amazon Alexa from our flagship New York station

0:16:10.880 --> 0:16:13.520
<v Speaker 2>Just Say Alexa played Bloomberg eleven thirty.

0:16:14.920 --> 0:16:15.120
<v Speaker 8>Well.

0:16:15.160 --> 0:16:17.680
<v Speaker 4>The US, in case you hadn't noticed, is experiencing a

0:16:17.760 --> 0:16:21.480
<v Speaker 4>surge and power demand, with electricity consumption expected to climb

0:16:21.640 --> 0:16:24.080
<v Speaker 4>almost sixteen percent over the next five years.

0:16:24.480 --> 0:16:25.200
<v Speaker 10>Why you may.

0:16:25.120 --> 0:16:28.320
<v Speaker 5>Ask a few factors. Is it because we're all getting

0:16:28.320 --> 0:16:30.080
<v Speaker 5>EV's I don't think so. I could have seen to

0:16:30.120 --> 0:16:32.360
<v Speaker 5>do with it. A few factors and drivers of that demand,

0:16:32.360 --> 0:16:37.360
<v Speaker 5>including data centers, evs AI. Welcome everybody to the New

0:16:37.360 --> 0:16:40.480
<v Speaker 5>economy with more on what maybe the next supply demanded balance.

0:16:40.520 --> 0:16:42.680
<v Speaker 5>Are two killer members of our Bloomberg News team who

0:16:42.680 --> 0:16:45.000
<v Speaker 5>reported out this story. They are Bloomberg News Power and

0:16:45.040 --> 0:16:48.960
<v Speaker 5>Renewable Energy editor Will Wade, also with Bloomberg News Energy

0:16:49.000 --> 0:16:51.720
<v Speaker 5>and Climate Disasters reporter Josh Saul, both here in our

0:16:51.720 --> 0:16:55.080
<v Speaker 5>Bloomberg BusinessWeek studio. Will I want to start with you

0:16:55.800 --> 0:16:59.160
<v Speaker 5>and get an idea for consumption and where it exactly

0:16:59.280 --> 0:17:02.840
<v Speaker 5>is coming from. Is it all AI or the push

0:17:02.920 --> 0:17:06.479
<v Speaker 5>to move away from natural gas or heating and cooling?

0:17:06.560 --> 0:17:08.520
<v Speaker 5>Is that part of it? You know where's coming from?

0:17:08.600 --> 0:17:11.639
<v Speaker 11>It's all of it, and it's all happening all of

0:17:11.640 --> 0:17:16.399
<v Speaker 11>a sudden. So we've seen cloud computing. You know, everyone

0:17:16.520 --> 0:17:18.600
<v Speaker 11>wants to put all your photos and your files up

0:17:18.600 --> 0:17:21.119
<v Speaker 11>in the cloud. That's driving data centers, a lot of

0:17:21.200 --> 0:17:24.280
<v Speaker 11>data centers, and then all of a sudden, the same

0:17:24.440 --> 0:17:28.000
<v Speaker 11>big tech companies are starting to do AI, and that's

0:17:28.040 --> 0:17:33.440
<v Speaker 11>an enormous use of power. So we've got data centers,

0:17:33.800 --> 0:17:37.040
<v Speaker 11>and then AI data centers, and then we've got the

0:17:37.080 --> 0:17:40.920
<v Speaker 11>push to electrify everything. We want to use electric heating

0:17:40.960 --> 0:17:43.080
<v Speaker 11>in your house instead of gas, we want to use

0:17:43.119 --> 0:17:46.480
<v Speaker 11>electricity for your cars instead of gasoline. Where you've got

0:17:46.480 --> 0:17:51.000
<v Speaker 11>factories that are trying to use electricity for industrial heat

0:17:51.280 --> 0:17:52.879
<v Speaker 11>instead of gas or coal.

0:17:53.200 --> 0:17:53.960
<v Speaker 4>So it's just.

0:17:54.280 --> 0:17:57.840
<v Speaker 11>Coming from every direction. But the crazy thing is we

0:17:57.880 --> 0:18:01.159
<v Speaker 11>didn't really see this coming until about year ago. So

0:18:01.280 --> 0:18:05.960
<v Speaker 11>the utilities that build power plants, which takes years, weren't

0:18:05.960 --> 0:18:10.600
<v Speaker 11>really planning for it that effectively. So now there's a

0:18:10.640 --> 0:18:13.120
<v Speaker 11>potential looming shortage of electricity.

0:18:12.600 --> 0:18:15.160
<v Speaker 4>Which makes me wonder should we just stop talking about

0:18:15.200 --> 0:18:18.040
<v Speaker 4>the promise of AI and basically because we're not going

0:18:18.119 --> 0:18:20.000
<v Speaker 4>to have enough power to meet the demand, Like, should

0:18:20.000 --> 0:18:23.439
<v Speaker 4>we just stop it already because the expectations, the euphoria

0:18:23.480 --> 0:18:25.720
<v Speaker 4>will is not going to be able to be met

0:18:25.760 --> 0:18:29.080
<v Speaker 4>so easily or quickly, you know what the power demands.

0:18:29.119 --> 0:18:31.959
<v Speaker 11>I'm not so worried about running out of power, like

0:18:32.000 --> 0:18:34.400
<v Speaker 11>you turn on the light switch and there's no electricity

0:18:34.520 --> 0:18:37.080
<v Speaker 11>for the lights. What I'm worried about is people not

0:18:37.760 --> 0:18:42.600
<v Speaker 11>working for clean energy. So We're going to see electricity

0:18:42.640 --> 0:18:44.080
<v Speaker 11>from anywhere.

0:18:43.560 --> 0:18:44.159
<v Speaker 5>They can get it.

0:18:44.200 --> 0:18:46.720
<v Speaker 11>We got people building more gas plants than we've seen

0:18:46.760 --> 0:18:49.040
<v Speaker 11>in a long time. We got people that promise to

0:18:49.040 --> 0:18:51.960
<v Speaker 11>shut down coal plants. Now they're going, let's keep those

0:18:52.000 --> 0:18:54.960
<v Speaker 11>open a little longer. Yeah, Joshua, about the gas plants

0:18:54.960 --> 0:18:55.640
<v Speaker 11>a lot, we'll tell.

0:18:55.600 --> 0:18:58.080
<v Speaker 12>Us about that, right. So, there's a concept I wanted

0:18:58.080 --> 0:18:59.199
<v Speaker 12>to bring up because I want to get I want

0:18:59.240 --> 0:19:00.520
<v Speaker 12>to get listeners from with it.

0:19:00.560 --> 0:19:01.840
<v Speaker 5>And it's baseload power.

0:19:02.119 --> 0:19:04.520
<v Speaker 12>So the deal with wind and solar power is that

0:19:04.560 --> 0:19:06.840
<v Speaker 12>it's intermittent, right, It's when when the wind is blowing,

0:19:06.920 --> 0:19:09.080
<v Speaker 12>when the sun is up. And it's very complicated to

0:19:09.960 --> 0:19:13.360
<v Speaker 12>arrange a grid with a lot of clean energy sources

0:19:13.400 --> 0:19:15.639
<v Speaker 12>because you have to balance the grid at all times.

0:19:15.640 --> 0:19:17.119
<v Speaker 12>And when people wake up in the morning, they need

0:19:17.160 --> 0:19:19.760
<v Speaker 12>the electricity running so they can run their appliances and

0:19:19.800 --> 0:19:22.160
<v Speaker 12>get ready for their day. And sometimes if the sun

0:19:22.200 --> 0:19:24.440
<v Speaker 12>isn't up at that point, that makes it tougher. What

0:19:24.680 --> 0:19:27.679
<v Speaker 12>gas is really good at a big gas power plant

0:19:27.720 --> 0:19:30.760
<v Speaker 12>is that it's baseload power just produces pretty close to

0:19:30.800 --> 0:19:34.359
<v Speaker 12>the same amount of power all the time. Gas also

0:19:34.400 --> 0:19:36.959
<v Speaker 12>produces carbon, which makes it a climate issue, which is

0:19:37.000 --> 0:19:41.080
<v Speaker 12>what Will's talking about. But we had the CEO of

0:19:41.119 --> 0:19:44.320
<v Speaker 12>g Vernova in recently and he basically says, yeah, our

0:19:44.359 --> 0:19:47.720
<v Speaker 12>windsails are pretty flat, but our gas business is going

0:19:47.760 --> 0:19:51.239
<v Speaker 12>bananas because they build the big gas turbines that that

0:19:51.320 --> 0:19:54.359
<v Speaker 12>power plants use to generate generate the power, and they've

0:19:54.480 --> 0:19:57.879
<v Speaker 12>increased manufacturing and they're selling huge amounts of these gas

0:19:57.880 --> 0:20:01.200
<v Speaker 12>turbines because that's what data centers. He told us. Yeah,

0:20:01.440 --> 0:20:03.919
<v Speaker 12>nobody's planning for anything other than twenty four to seven

0:20:04.760 --> 0:20:05.520
<v Speaker 12>power usage.

0:20:05.840 --> 0:20:09.199
<v Speaker 5>Is there a way that we can offload and by we,

0:20:09.280 --> 0:20:11.879
<v Speaker 5>I mean the United States can offload some of this

0:20:12.160 --> 0:20:16.800
<v Speaker 5>electricity usage, Josh outside of the country where electricity is

0:20:16.800 --> 0:20:20.960
<v Speaker 5>more abundant in the sense, build some of these server

0:20:21.359 --> 0:20:25.320
<v Speaker 5>farms in other places where there isn't an issue on

0:20:25.400 --> 0:20:25.760
<v Speaker 5>the grid.

0:20:26.320 --> 0:20:28.240
<v Speaker 12>It's it's complicated and it's hard to do. I mean

0:20:28.280 --> 0:20:30.840
<v Speaker 12>with with data centers. It's hard because some things that

0:20:30.840 --> 0:20:33.119
<v Speaker 12>are operating on the data center is certainly any anything

0:20:33.160 --> 0:20:35.959
<v Speaker 12>related to national security, and even lots of companies they

0:20:36.000 --> 0:20:38.360
<v Speaker 12>want their they want their data in the US, even

0:20:38.400 --> 0:20:39.639
<v Speaker 12>in you know, you imagine the.

0:20:39.680 --> 0:20:42.320
<v Speaker 4>Near shoring on shoring is like certainly something that you

0:20:42.400 --> 0:20:43.960
<v Speaker 4>see with the data centers, they want it nearby.

0:20:44.040 --> 0:20:45.800
<v Speaker 12>Yeah, I mean imagine a healthcare company. They don't want

0:20:45.800 --> 0:20:48.520
<v Speaker 12>all their data stored in some country that they don't

0:20:48.560 --> 0:20:52.080
<v Speaker 12>necessarily trust, so you run into issues with that. And

0:20:52.119 --> 0:20:55.080
<v Speaker 12>as far as moving other users of power, can't really

0:20:55.119 --> 0:20:59.080
<v Speaker 12>move homes overseas without moving the family there. Obviously, that's complicated.

0:20:59.080 --> 0:21:00.800
<v Speaker 12>And then a big factor. You know, we want the

0:21:00.800 --> 0:21:02.639
<v Speaker 12>big factory here because we want the jobs and we

0:21:02.680 --> 0:21:06.360
<v Speaker 12>want the stuff produced here, so those power demands are

0:21:06.359 --> 0:21:07.639
<v Speaker 12>also on shore.

0:21:07.800 --> 0:21:09.639
<v Speaker 4>There's so many things that are coming to mind. Remind

0:21:09.720 --> 0:21:11.840
<v Speaker 4>us guys about the rules and regulations that are in

0:21:11.880 --> 0:21:14.040
<v Speaker 4>place in terms of carbon emissions, that the kind of

0:21:14.040 --> 0:21:18.040
<v Speaker 4>commitments that companies and individuals or institutions have to abide

0:21:18.080 --> 0:21:20.840
<v Speaker 4>by under the current administration or under the current rules,

0:21:21.160 --> 0:21:23.919
<v Speaker 4>and how a new administration might change some of that.

0:21:24.920 --> 0:21:28.520
<v Speaker 11>Okay, Well, when Biden came into office, he said he

0:21:28.600 --> 0:21:33.200
<v Speaker 11>wanted to have a clean power grid by twenty thirty five,

0:21:33.560 --> 0:21:38.159
<v Speaker 11>and they set a twenty fifty net zero target. But

0:21:38.680 --> 0:21:41.119
<v Speaker 11>these aren't really binding.

0:21:41.160 --> 0:21:42.639
<v Speaker 3>These were goals, and.

0:21:43.280 --> 0:21:48.480
<v Speaker 11>I'm seeing increasing pessimism about reaching those goals, and.

0:21:48.480 --> 0:21:51.080
<v Speaker 5>They don't even seem very close in the sense of

0:21:51.160 --> 0:21:52.960
<v Speaker 5>years like those are pretty far.

0:21:52.920 --> 0:21:56.359
<v Speaker 11>Up anyway, right, Yeah, but yeah, And we had so

0:21:56.520 --> 0:22:00.600
<v Speaker 11>many companies, especially in like maybe the last five five years,

0:22:01.000 --> 0:22:04.280
<v Speaker 11>come out with their own internal net zero goals, and

0:22:04.560 --> 0:22:07.040
<v Speaker 11>a lot of them are like really impressive and really ambitious.

0:22:07.280 --> 0:22:09.680
<v Speaker 11>We're going to you know, utilities that promise to stop

0:22:09.720 --> 0:22:13.399
<v Speaker 11>burning coal, big tech companies that said all of our

0:22:13.480 --> 0:22:15.240
<v Speaker 11>operations are going to be carbon free.

0:22:15.400 --> 0:22:16.679
<v Speaker 5>Yeah that was before chat GPT.

0:22:17.480 --> 0:22:21.040
<v Speaker 11>That's the problem. So these things were not binding, and

0:22:21.080 --> 0:22:23.560
<v Speaker 11>now we're seeing a lot of companies kind of going

0:22:23.680 --> 0:22:26.080
<v Speaker 11>radio silence on their goals, or some of them are

0:22:26.119 --> 0:22:28.359
<v Speaker 11>just straight out saying, yeah, we're not going to make that.

0:22:28.280 --> 0:22:30.240
<v Speaker 4>Doesn't matter if it's a global company in other words,

0:22:30.280 --> 0:22:32.159
<v Speaker 4>because it's got a deal by global rules and global

0:22:32.200 --> 0:22:36.199
<v Speaker 4>regulations or no, not necessarily in terms of hitting carbon emissions,

0:22:36.280 --> 0:22:37.800
<v Speaker 4>you know, reductions.

0:22:37.240 --> 0:22:39.880
<v Speaker 12>The utilities, so the power companies actually producing their power,

0:22:39.880 --> 0:22:42.720
<v Speaker 12>they're here, so their goals are here. We're already seeing

0:22:42.720 --> 0:22:44.760
<v Speaker 12>those get kind of a little eroded around the edges,

0:22:44.800 --> 0:22:46.879
<v Speaker 12>you know, companies saying well, we said we're going to

0:22:46.880 --> 0:22:48.560
<v Speaker 12>be done with coal by twenty thirty, we're actually going

0:22:48.600 --> 0:22:50.399
<v Speaker 12>to be running these coal plants a little longer, but

0:22:50.400 --> 0:22:52.760
<v Speaker 12>we're still sticking to our twenty fifty net zero goal.

0:22:52.960 --> 0:22:54.720
<v Speaker 12>We're kind of seeing those eroded a little bit. But

0:22:54.720 --> 0:22:56.919
<v Speaker 12>the way one energy analyst put it to me recently,

0:22:56.920 --> 0:22:59.520
<v Speaker 12>as he said, I mean, unless unless the company's goals

0:22:59.560 --> 0:23:01.960
<v Speaker 12>are tied some kind of state law, they're not really

0:23:01.960 --> 0:23:04.680
<v Speaker 12>worth the paper they're written on, because they'll just keep

0:23:04.720 --> 0:23:07.119
<v Speaker 12>getting eroded, and then as it gets closer to twenty fifty,

0:23:07.160 --> 0:23:10.080
<v Speaker 12>they'll get you know, maybe maybe completely tossed out the window.

0:23:10.280 --> 0:23:12.879
<v Speaker 5>Hey will what about nuclear? Where does nuclear come into this?

0:23:13.040 --> 0:23:14.640
<v Speaker 4>Which is something like I feel like in the last

0:23:14.640 --> 0:23:16.480
<v Speaker 4>two years, we all of a sudden here everybody talking

0:23:16.480 --> 0:23:17.080
<v Speaker 4>about nuclear.

0:23:17.320 --> 0:23:19.600
<v Speaker 5>Yeah, but I mean you've spent a lot of times

0:23:19.720 --> 0:23:23.119
<v Speaker 5>short career facilities not so easy to just put a

0:23:23.160 --> 0:23:24.960
<v Speaker 5>whole put a shovel in the ground and build one.

0:23:25.080 --> 0:23:25.960
<v Speaker 12>No, nuclear is great.

0:23:26.000 --> 0:23:28.040
<v Speaker 11>I mean, Josh was talking about baseload power. You know,

0:23:28.040 --> 0:23:31.000
<v Speaker 11>it's even better for baseload nuclear it runs like ninety seven,

0:23:31.040 --> 0:23:33.040
<v Speaker 11>ninety eight, ninety nine percent of the time over the

0:23:33.080 --> 0:23:34.880
<v Speaker 11>course of a year. You know, it's not great about

0:23:34.920 --> 0:23:38.679
<v Speaker 11>nuclear takes years to build. So we've got all of

0:23:38.720 --> 0:23:42.760
<v Speaker 11>these companies seriously like the last couple of months, a

0:23:42.800 --> 0:23:45.720
<v Speaker 11>lot of the big temp, big tech companies have announced

0:23:45.720 --> 0:23:49.960
<v Speaker 11>these really big deals to use nuclear power to power

0:23:50.000 --> 0:23:54.280
<v Speaker 11>their data centers in twenty thirty something when they're built,

0:23:54.359 --> 0:23:57.760
<v Speaker 11>because there aren't any extra nuclear power plants laying around,

0:23:58.400 --> 0:24:00.320
<v Speaker 11>and it's going to take years to build them, and

0:24:00.359 --> 0:24:04.159
<v Speaker 11>they're working with companies that are developing new technologies, so

0:24:05.480 --> 0:24:08.359
<v Speaker 11>they hope they'll be ready in the next five years,

0:24:08.440 --> 0:24:10.600
<v Speaker 11>but it's you know, there's always the chance they can

0:24:10.640 --> 0:24:13.600
<v Speaker 11>get delayed, so in the meantime, there's gonna be a

0:24:13.600 --> 0:24:14.119
<v Speaker 11>lot of gas.

0:24:14.800 --> 0:24:19.000
<v Speaker 4>It's kind of ironic, right, The move to clean energy

0:24:19.480 --> 0:24:23.560
<v Speaker 4>is kind of complicating this process, right in terms of wanting,

0:24:23.560 --> 0:24:26.200
<v Speaker 4>as you said, the electrification of so much that it's

0:24:26.640 --> 0:24:29.760
<v Speaker 4>making it difficult to kind of hit these targets. And

0:24:30.000 --> 0:24:32.880
<v Speaker 4>I'm looking at, you know, a headline from today California

0:24:33.080 --> 0:24:36.320
<v Speaker 4>reeling from extreme weathers, the wildfire risks return, and they

0:24:36.359 --> 0:24:39.160
<v Speaker 4>also talk about another atmospheric river up in northern California.

0:24:39.160 --> 0:24:42.000
<v Speaker 4>I mean, as we are talking about this, we continue

0:24:42.040 --> 0:24:46.600
<v Speaker 4>to see it firsthand and increasingly the impact of climate change.

0:24:47.280 --> 0:24:49.760
<v Speaker 4>So I just wonder kind of where this all leads us.

0:24:50.600 --> 0:24:53.359
<v Speaker 11>Yeah, that's the right question, and the answer is, we

0:24:53.400 --> 0:24:57.040
<v Speaker 11>don't know. We are seeing climate disasters in real time.

0:24:57.359 --> 0:25:00.080
<v Speaker 11>In the summer, it's too hot now in the fall,

0:25:00.080 --> 0:25:02.160
<v Speaker 11>in the winter, we're getting too much rain.

0:25:02.320 --> 0:25:04.959
<v Speaker 4>Wildfires are like you're ering city, which are like unheard of,

0:25:05.160 --> 0:25:08.520
<v Speaker 4>Like yeah, make for great sunsets, but it smells bad

0:25:09.119 --> 0:25:13.720
<v Speaker 4>and it Yeah, we're seeing the climate really has been affected.

0:25:14.160 --> 0:25:17.040
<v Speaker 11>And that's the right question to ask, because yeah, all

0:25:17.080 --> 0:25:20.480
<v Speaker 11>these factories are trying to decarbonize, but then where do

0:25:20.480 --> 0:25:23.119
<v Speaker 11>you get the electricity? You know, the people to point out, Oh,

0:25:23.160 --> 0:25:25.080
<v Speaker 11>you think you're so green because you've got an EV,

0:25:25.600 --> 0:25:28.760
<v Speaker 11>but you're powering it with coal power. So there's a

0:25:28.800 --> 0:25:31.200
<v Speaker 11>lot that has to happen. It's not an easy switch.

0:25:31.320 --> 0:25:33.760
<v Speaker 5>Well, Josh, this is your beat, I mean, your energy

0:25:33.800 --> 0:25:36.920
<v Speaker 5>and climate disasters reporter. So what is the fundamental connection

0:25:37.040 --> 0:25:38.000
<v Speaker 5>between these two things?

0:25:39.080 --> 0:25:39.639
<v Speaker 6>I see it.

0:25:40.080 --> 0:25:42.680
<v Speaker 12>I see it that of course, the factories that produce

0:25:42.800 --> 0:25:46.480
<v Speaker 12>the things we need for clean energy require power, but

0:25:46.600 --> 0:25:49.480
<v Speaker 12>anything that we produce requires power. So I think overall

0:25:49.760 --> 0:25:53.120
<v Speaker 12>that transition is still good for decarbonization, is still good

0:25:53.160 --> 0:25:56.879
<v Speaker 12>for putting less carbon into the atmosphere, and hopefully at

0:25:56.960 --> 0:25:59.879
<v Speaker 12>least not accelerating those kinds of wildfires and those other

0:25:59.880 --> 0:26:03.600
<v Speaker 12>things we're talking about, and I think that's more important.

0:26:03.800 --> 0:26:06.840
<v Speaker 5>Okay, so we'll come on in here because you mentioned

0:26:06.840 --> 0:26:08.920
<v Speaker 5>the grid, and this is something that we haven't spent

0:26:08.960 --> 0:26:11.639
<v Speaker 5>a lot of time talking about the health of the grid,

0:26:11.840 --> 0:26:13.520
<v Speaker 5>and it's sort of this patchwork at least here in

0:26:13.560 --> 0:26:17.040
<v Speaker 5>the United States, where you know you have Texas always

0:26:17.080 --> 0:26:18.960
<v Speaker 5>comes to mind, for example, given the freeze that they

0:26:18.960 --> 0:26:21.680
<v Speaker 5>saw a few years ago in the failure of the grid.

0:26:21.840 --> 0:26:24.040
<v Speaker 5>Where does the stability of the grid come into the conversation?

0:26:25.240 --> 0:26:28.679
<v Speaker 11>That's another huge issue. A lot of the grid is

0:26:28.800 --> 0:26:31.160
<v Speaker 11>not so stable. You know, a lot of the wires

0:26:31.200 --> 0:26:35.280
<v Speaker 11>have been in standing there for years and when a

0:26:35.359 --> 0:26:38.680
<v Speaker 11>hurricane comes through, they get knocked down. The utilities say

0:26:38.760 --> 0:26:41.360
<v Speaker 11>they want to underground the wires because it's more reliable,

0:26:41.359 --> 0:26:45.840
<v Speaker 11>which is a great idea, but expensive. You use the

0:26:45.840 --> 0:26:48.800
<v Speaker 11>word patchwork. I think that's a pretty good word, especially

0:26:48.840 --> 0:26:53.560
<v Speaker 11>because it's multiple systems operated by so many different companies

0:26:53.600 --> 0:26:58.919
<v Speaker 11>and so many different jurisdictions with different rules. It's complicated.

0:27:00.080 --> 0:27:02.480
<v Speaker 4>Well, we know it's like that, Josh. I also do

0:27:02.560 --> 0:27:05.159
<v Speaker 4>wonder is there something else within the all the energy

0:27:05.200 --> 0:27:07.560
<v Speaker 4>space or new energy space that we're not talking about.

0:27:07.600 --> 0:27:10.480
<v Speaker 4>My husband constantly is like, what about hydrogen fuel cells?

0:27:10.560 --> 0:27:12.840
<v Speaker 4>Like that makes sense to me. Like, I'm just curious,

0:27:12.880 --> 0:27:14.520
<v Speaker 4>is there something that I don't know, whether it's in

0:27:14.520 --> 0:27:16.879
<v Speaker 4>the next year, next six months, or next two years,

0:27:16.960 --> 0:27:19.760
<v Speaker 4>that we start talking about that might help the situation.

0:27:19.920 --> 0:27:22.840
<v Speaker 12>I think a lot of a lot of those things, fusion, hydrogen,

0:27:22.880 --> 0:27:25.720
<v Speaker 12>a lot of those things are pretty far off. I

0:27:25.800 --> 0:27:27.560
<v Speaker 12>think right now it kind of is just back to

0:27:27.600 --> 0:27:30.159
<v Speaker 12>the basics that wind and solar takes a lot of

0:27:30.280 --> 0:27:33.359
<v Speaker 12>takes some pressure off of the grid, and but yeah,

0:27:33.480 --> 0:27:35.600
<v Speaker 12>right now, it just looks like the next year looks

0:27:35.640 --> 0:27:36.679
<v Speaker 12>like just more gas.

0:27:36.920 --> 0:27:40.440
<v Speaker 5>That was Bloomberg News Power and Renewable Energy editor Will Wade,

0:27:40.600 --> 0:27:44.440
<v Speaker 5>along with Bloomberg News Energy and Climate Disasters reporter Josh Saw.

0:27:44.600 --> 0:27:46.720
<v Speaker 4>You know, Tim, I think about right after two years

0:27:46.720 --> 0:27:50.080
<v Speaker 4>of doing nothing about AI investing and focusing on Nvidia

0:27:50.119 --> 0:27:52.560
<v Speaker 4>and everybody spending and so on and so forth and

0:27:52.600 --> 0:27:54.480
<v Speaker 4>doing kind of their build out, all of a sudden,

0:27:54.480 --> 0:27:57.399
<v Speaker 4>it's like breaks on because people are saying, wait a minute,

0:27:57.440 --> 0:28:00.320
<v Speaker 4>we got to have the power to fuel all the

0:28:00.480 --> 0:28:03.320
<v Speaker 4>AI computations that are necessary.

0:28:03.440 --> 0:28:05.480
<v Speaker 5>I thought a lot about this when I was out

0:28:05.520 --> 0:28:07.960
<v Speaker 5>for the holiday break, because I was on the central

0:28:07.960 --> 0:28:12.240
<v Speaker 5>coast of California and Diablo Canyon Nuclear Power Plant is

0:28:12.320 --> 0:28:14.080
<v Speaker 5>right on the central coast where I was, and we

0:28:14.119 --> 0:28:16.960
<v Speaker 5>actually went to the beach right where the nuclear power

0:28:17.000 --> 0:28:20.280
<v Speaker 5>plan is. I thought to myself, incredible to see the

0:28:20.400 --> 0:28:24.520
<v Speaker 5>attention on this facility as a result of power demand.

0:28:24.600 --> 0:28:26.520
<v Speaker 5>And this power plan on the central coast of California

0:28:26.600 --> 0:28:29.480
<v Speaker 5>was set to be shut down right and Governor Gavin

0:28:29.520 --> 0:28:31.639
<v Speaker 5>Newsom extended it as a result of power demand.

0:28:31.800 --> 0:28:34.280
<v Speaker 4>Get ready, folks, for a lot more on this front

0:28:34.320 --> 0:28:38.000
<v Speaker 4>to come. Twenty twenty five. Still ahead on Bloomberg Business Week.

0:28:38.040 --> 0:28:40.720
<v Speaker 4>Our Bloomberg Intelligence team has done the research, the work,

0:28:40.760 --> 0:28:42.800
<v Speaker 4>and they have the fifty companies to keep your eye

0:28:42.880 --> 0:28:43.760
<v Speaker 4>on this year.

0:28:43.920 --> 0:28:45.840
<v Speaker 5>Hey, they did the work, but we get to share

0:28:45.880 --> 0:28:48.280
<v Speaker 5>the findings. That's next. This is Bloomberg.

0:28:48.800 --> 0:28:52.360
<v Speaker 2>You're listening to the Bloomberg Business Week podcast. Catch us

0:28:52.440 --> 0:28:55.880
<v Speaker 2>live weekday afternoons from two to five pm Eastern Listen

0:28:55.920 --> 0:28:59.440
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:28:59.600 --> 0:29:02.280
<v Speaker 2>or live on YouTube.

0:29:03.280 --> 0:29:05.880
<v Speaker 4>Artificial intelligence was, yeah, no doubt about it. A big

0:29:05.920 --> 0:29:09.080
<v Speaker 4>factor to watch for in the twenty twenty four year

0:29:09.120 --> 0:29:11.960
<v Speaker 4>ahead issue of the Bloomberg BusinessWeek Fifty Companies to Watch

0:29:11.960 --> 0:29:14.640
<v Speaker 4>that was one year ago. We know how the AI

0:29:14.720 --> 0:29:17.600
<v Speaker 4>revolution played out this past year continued to play out.

0:29:17.800 --> 0:29:19.640
<v Speaker 4>For the companies and trends to keep an eye on.

0:29:19.680 --> 0:29:22.680
<v Speaker 4>For twenty twenty five, we turned to the annual list

0:29:22.840 --> 0:29:23.760
<v Speaker 4>we love to highlight.

0:29:23.960 --> 0:29:27.240
<v Speaker 5>The list comes courtesy of Bloomberg Intelligence and its analysts,

0:29:27.280 --> 0:29:30.480
<v Speaker 5>who track some two thousand companies and sectors ranging from

0:29:30.520 --> 0:29:33.360
<v Speaker 5>finance to food, who have once again come out with

0:29:33.400 --> 0:29:36.120
<v Speaker 5>its annual list of companies that weren't a closer look,

0:29:36.240 --> 0:29:38.520
<v Speaker 5>which you can read now on the Bloomberg terminal and

0:29:38.520 --> 0:29:41.440
<v Speaker 5>at Bloomberg dot com Slash BusinessWeek, as well as the

0:29:41.560 --> 0:29:44.080
<v Speaker 5>January issue of Bloomberg BusinessWeek magazine.

0:29:44.160 --> 0:29:47.360
<v Speaker 4>To help break down some of the top names to watch,

0:29:47.440 --> 0:29:50.800
<v Speaker 4>we spoke with Bloomberg Intelligence Senior European strategist and Director

0:29:50.800 --> 0:29:52.880
<v Speaker 4>of Research Content, Tim Craighead.

0:29:53.320 --> 0:29:57.840
<v Speaker 8>The fifty Companies to Watch are based largely off of

0:29:57.840 --> 0:30:02.280
<v Speaker 8>a group of companies that we have as focus ideas,

0:30:02.520 --> 0:30:05.400
<v Speaker 8>and our focus ideas are where our analysts around the

0:30:05.400 --> 0:30:09.560
<v Speaker 8>globe on a bottom up basis, sector by sector, are

0:30:09.600 --> 0:30:14.720
<v Speaker 8>looking for fundamental situations where they have a really strong view,

0:30:14.760 --> 0:30:18.360
<v Speaker 8>a high conviction view that they think is out of consensus,

0:30:18.400 --> 0:30:22.480
<v Speaker 8>that's differentiated from what the market is thinking. And we

0:30:23.040 --> 0:30:26.640
<v Speaker 8>zero in on fifty out of that broader list that

0:30:26.720 --> 0:30:30.320
<v Speaker 8>have specific catalysts in twenty twenty five in this case

0:30:30.880 --> 0:30:34.960
<v Speaker 8>that we think will bring the bring the market around

0:30:35.000 --> 0:30:37.760
<v Speaker 8>to our point of view. And you know, it's pretty

0:30:37.760 --> 0:30:44.000
<v Speaker 8>balanced across sectors. About half our US or America is oriented.

0:30:44.760 --> 0:30:47.440
<v Speaker 8>The other fifty percent are sort of equally split between

0:30:47.440 --> 0:30:51.240
<v Speaker 8>Europe and Asia about twenty percent or negative, about eighty

0:30:51.280 --> 0:30:54.320
<v Speaker 8>percent or positive. So there's a good balance around. And

0:30:54.520 --> 0:30:57.320
<v Speaker 8>you know, there's lots of different drivers, you know, company

0:30:57.320 --> 0:31:00.040
<v Speaker 8>about company and sort of theme by theme.

0:31:00.120 --> 0:31:02.680
<v Speaker 4>And there are some buckets tam that they fall into,

0:31:03.000 --> 0:31:06.719
<v Speaker 4>whether it's cyclical recovery AI related, which tends to hit

0:31:06.760 --> 0:31:09.160
<v Speaker 4>a lot of companies nowadays. But give give us a

0:31:09.160 --> 0:31:10.280
<v Speaker 4>little bit of context on that.

0:31:10.720 --> 0:31:15.000
<v Speaker 8>Yeah, it's an interesting thing because if I actually juxtaposed

0:31:15.040 --> 0:31:19.320
<v Speaker 8>this year versus last AI was a big deal a

0:31:19.400 --> 0:31:21.680
<v Speaker 8>year ago, but it was a lot of the big

0:31:21.760 --> 0:31:25.840
<v Speaker 8>AI companies, the software companies, the LLM guys and whatnot.

0:31:26.280 --> 0:31:31.480
<v Speaker 8>This year it's more geared towards the semiconductors and enabling

0:31:31.600 --> 0:31:34.240
<v Speaker 8>technologies behind it. We can get into some of those.

0:31:34.960 --> 0:31:36.760
<v Speaker 8>China was a big deal last year, but it was

0:31:36.760 --> 0:31:41.120
<v Speaker 8>all negative about the property crisis. This year, the list

0:31:41.160 --> 0:31:44.240
<v Speaker 8>has changed complexion from a China perspective, and it's more

0:31:44.360 --> 0:31:47.640
<v Speaker 8>positive oriented about a cyclical recovery because of the stimulus

0:31:47.680 --> 0:31:50.680
<v Speaker 8>that's coming through, you know. And you can also look

0:31:50.720 --> 0:31:54.320
<v Speaker 8>at other topics such as a broader based cyclical recovery

0:31:54.320 --> 0:31:58.720
<v Speaker 8>in Europe or the US because of lower interest rates.

0:31:59.200 --> 0:32:01.680
<v Speaker 8>There's a lot of innovation and new product stories in

0:32:01.720 --> 0:32:03.440
<v Speaker 8>there as well, and some other factors.

0:32:03.560 --> 0:32:05.400
<v Speaker 4>All right, we want to get into some of the names.

0:32:05.440 --> 0:32:07.400
<v Speaker 4>I know it's alphabetical, but we got to get into

0:32:07.480 --> 0:32:10.760
<v Speaker 4>first of all, Broadcom. Why are you guys highlighting it?

0:32:11.480 --> 0:32:15.920
<v Speaker 8>Well? Broadcom is interesting because you think of this as

0:32:17.000 --> 0:32:20.040
<v Speaker 8>a semiconductor company, but it's much more than a simic

0:32:20.040 --> 0:32:24.920
<v Speaker 8>inductor company because it's gotten into infrastructure software and it's

0:32:24.960 --> 0:32:29.120
<v Speaker 8>one of the few companies that combines semiconductors and software.

0:32:29.160 --> 0:32:32.360
<v Speaker 8>And importantly, it's part of the AI theme because a

0:32:32.400 --> 0:32:39.200
<v Speaker 8>lot of what it's doing feeds into the whole AI story,

0:32:39.240 --> 0:32:42.400
<v Speaker 8>whether it's with Google or Meta or what have you.

0:32:42.440 --> 0:32:45.800
<v Speaker 8>So you know, it's a pretty intriguing story. And you

0:32:45.840 --> 0:32:48.680
<v Speaker 8>know software business came from you know, their acquisition of

0:32:48.760 --> 0:32:51.720
<v Speaker 8>VMware a couple of years ago.

0:32:52.560 --> 0:32:54.080
<v Speaker 5>Why is Tesla on the list this year?

0:32:54.720 --> 0:32:56.840
<v Speaker 8>So Tesla is there, and I'm going to bring in

0:32:56.880 --> 0:32:59.320
<v Speaker 8>one other company at the same time. This falls into

0:32:59.360 --> 0:33:04.840
<v Speaker 8>that category of new products, innovation and whatnot. Obviously, Tesla

0:33:04.960 --> 0:33:07.600
<v Speaker 8>is all about electric vehicles, but importantly, as we look

0:33:07.640 --> 0:33:11.880
<v Speaker 8>into next year, there's new vehicles that are coming through

0:33:12.120 --> 0:33:17.120
<v Speaker 8>an important refresh of their their core cars, and we

0:33:17.160 --> 0:33:22.880
<v Speaker 8>think that that's an opportunity for a lift. Similarly, Porsche, Uh,

0:33:23.480 --> 0:33:26.560
<v Speaker 8>you know, we all like Porsches. I think we all

0:33:26.600 --> 0:33:30.240
<v Speaker 8>like Porsches. I'd like to like a Porsche they got.

0:33:31.440 --> 0:33:34.000
<v Speaker 4>Well, I'm going to tell you you can like it.

0:33:34.000 --> 0:33:36.800
<v Speaker 4>It's just right about ownership, right, yeah.

0:33:36.880 --> 0:33:40.440
<v Speaker 8>Well it's funny because back in the day, you know,

0:33:40.480 --> 0:33:45.120
<v Speaker 8>these were relatively well, relatively affordable. The way that Porsche

0:33:45.200 --> 0:33:48.920
<v Speaker 8>has driven its business pun intended is to go higher

0:33:48.920 --> 0:33:51.920
<v Speaker 8>and higher end to where you know, the the average

0:33:51.920 --> 0:33:55.600
<v Speaker 8>selling price of their cars are quite significant. And essentially

0:33:55.640 --> 0:33:57.920
<v Speaker 8>what they're trying to do is attain a Ferrari like

0:33:58.200 --> 0:34:01.640
<v Speaker 8>profit margin. And and they've got number of products, whether

0:34:01.680 --> 0:34:07.000
<v Speaker 8>it's hybrid related or other, that should help propel the

0:34:07.040 --> 0:34:10.440
<v Speaker 8>company along in its profits and its margins along, interestingly,

0:34:11.120 --> 0:34:13.080
<v Speaker 8>and it flies a little bit in the face of

0:34:13.160 --> 0:34:18.840
<v Speaker 8>Tesla clearly that's pure battery electric vehicle. There has certainly

0:34:18.880 --> 0:34:22.480
<v Speaker 8>been a palls in the US and in Europe about

0:34:22.640 --> 0:34:27.799
<v Speaker 8>that whole sort of transition to electric vehicles, and Borsh's

0:34:28.000 --> 0:34:31.680
<v Speaker 8>core combustion engine business is doing better than what a

0:34:31.719 --> 0:34:33.040
<v Speaker 8>lot of people thought it was going to do.

0:34:33.200 --> 0:34:35.200
<v Speaker 5>Tim, I want to stick with the transportation theme here

0:34:35.239 --> 0:34:37.200
<v Speaker 5>and talk Airbus because a lot has happened with this

0:34:37.320 --> 0:34:40.400
<v Speaker 5>duopoly over the last year, including at the beginning of

0:34:40.440 --> 0:34:43.000
<v Speaker 5>this year that a door panel blowing out on that

0:34:43.080 --> 0:34:46.680
<v Speaker 5>seven thirty seven Max that Alaska Airlines jet and that

0:34:46.760 --> 0:34:51.759
<v Speaker 5>sort of sent Boeing into its most recent struggles and

0:34:52.040 --> 0:34:55.080
<v Speaker 5>new executive there and the like why air Bus on

0:34:55.120 --> 0:34:55.479
<v Speaker 5>the list.

0:34:56.040 --> 0:34:58.400
<v Speaker 8>Yeah, So there's a couple of elements that play in.

0:34:58.560 --> 0:35:01.680
<v Speaker 8>Part of it is just pure cyclical recovery. You know,

0:35:01.719 --> 0:35:07.520
<v Speaker 8>there is continued recovery and air traffic. There's continued recovery

0:35:07.560 --> 0:35:12.640
<v Speaker 8>and order flow for airlines. And at the same time

0:35:13.000 --> 0:35:16.240
<v Speaker 8>there's been a real constraint on supply on the supply

0:35:16.440 --> 0:35:22.680
<v Speaker 8>channel going into the airline or airframe business. We think

0:35:22.960 --> 0:35:26.240
<v Speaker 8>both of these elements are in play for twenty twenty five.

0:35:26.440 --> 0:35:29.160
<v Speaker 6>And to the degree that Airbus, we.

0:35:29.080 --> 0:35:33.440
<v Speaker 8>Think continues to gain relative market share versus Boeing. You know,

0:35:33.520 --> 0:35:36.440
<v Speaker 8>there's an host of factors that play into a pretty

0:35:36.480 --> 0:35:37.399
<v Speaker 8>positive view here.

0:35:37.880 --> 0:35:40.120
<v Speaker 4>All Right, I like planes too, but I also like makeup.

0:35:40.120 --> 0:35:43.239
<v Speaker 4>I'm just going to put trains that.

0:35:43.840 --> 0:35:46.840
<v Speaker 5>There is a train company on the list, a railroad

0:35:46.880 --> 0:35:48.360
<v Speaker 5>on the list, right, Steve Tas.

0:35:48.200 --> 0:35:49.840
<v Speaker 4>All right, all right, we're going to get back to

0:35:49.840 --> 0:35:50.400
<v Speaker 4>that in a moment.

0:35:50.719 --> 0:35:50.839
<v Speaker 8>St.

0:35:51.000 --> 0:35:53.080
<v Speaker 4>Latter I want to bring that one. It's been under pressure.

0:35:53.120 --> 0:35:55.440
<v Speaker 4>It's a well known company, I kind of company in

0:35:55.840 --> 0:35:58.480
<v Speaker 4>the cosmetic business. If you go back to STI Latter

0:35:58.520 --> 0:36:01.480
<v Speaker 4>who created it. It has gone through some changes. It's

0:36:01.480 --> 0:36:03.319
<v Speaker 4>down I think more than forty percent this year, but

0:36:03.320 --> 0:36:06.200
<v Speaker 4>it's been on quite a rally since kind of mid November,

0:36:06.320 --> 0:36:09.400
<v Speaker 4>up about thirty percent. You guys highlighted it. Are you

0:36:09.480 --> 0:36:13.840
<v Speaker 4>expecting some kind of not liquidation, but some kind of

0:36:14.000 --> 0:36:17.360
<v Speaker 4>I don't know event that maybe changes the fortunes going forward?

0:36:18.520 --> 0:36:22.960
<v Speaker 8>Yeah? Well so stay Lotder is an interesting one because

0:36:23.560 --> 0:36:27.400
<v Speaker 8>you have to love the brands that make up Stay Lotder,

0:36:28.120 --> 0:36:30.359
<v Speaker 8>you know, whether it's Stay Lotder itself or.

0:36:30.400 --> 0:36:31.160
<v Speaker 2>Mac or.

0:36:32.640 --> 0:36:35.920
<v Speaker 8>Clinique what have you. But it really does seem like

0:36:36.040 --> 0:36:39.560
<v Speaker 8>they've lost a bit of an edge in some of

0:36:39.600 --> 0:36:46.360
<v Speaker 8>their brands. They're also particularly skewed towards airline I should

0:36:46.400 --> 0:36:51.560
<v Speaker 8>say airport travel related retail, which continues to be under pressure.

0:36:51.920 --> 0:36:56.640
<v Speaker 8>Notwithstanding air travel coming back spending all duty free has

0:36:56.680 --> 0:37:00.359
<v Speaker 8>continued to remain a pressure point. We think Stay Laughter

0:37:00.960 --> 0:37:04.280
<v Speaker 8>continues to have some potential for disappointment in the first

0:37:04.280 --> 0:37:07.960
<v Speaker 8>half of the year before maybe things then come around.

0:37:08.040 --> 0:37:13.279
<v Speaker 8>They've announced a big restructuring that will happen. We think

0:37:13.320 --> 0:37:16.360
<v Speaker 8>actually that restructuring charge that they'll take could actually be

0:37:16.440 --> 0:37:20.879
<v Speaker 8>even more with a new with new CEO who's coming

0:37:20.920 --> 0:37:24.839
<v Speaker 8>in place, So stay tuned. By the end of next

0:37:24.920 --> 0:37:27.120
<v Speaker 8>year there could be an interesting recovery. But it's a

0:37:27.200 --> 0:37:28.839
<v Speaker 8>rough road in between now and then.

0:37:28.920 --> 0:37:31.200
<v Speaker 5>All right, I'm getting back to transit and get to say,

0:37:31.200 --> 0:37:33.359
<v Speaker 5>planes makeup and trains. Yeah, Planes make up and Trains

0:37:33.400 --> 0:37:35.000
<v Speaker 5>doesn't have the same ring to it with the John

0:37:35.040 --> 0:37:39.480
<v Speaker 5>Candy film Norfolk Southern. What's going on with Norfolk Southern?

0:37:40.040 --> 0:37:43.680
<v Speaker 8>So it's an interesting story. I have a long long

0:37:43.760 --> 0:37:48.040
<v Speaker 8>standing association with Norfolk Southern previously Norfolk and Western. My

0:37:48.160 --> 0:37:50.960
<v Speaker 8>dad worked there for over forty years to rest his soul.

0:37:51.280 --> 0:37:51.920
<v Speaker 6>And.

0:37:53.880 --> 0:37:59.760
<v Speaker 8>They've had issues over the last couple of years. Unlike Union,

0:38:00.360 --> 0:38:02.480
<v Speaker 8>which actually was on our list last year, that had

0:38:02.520 --> 0:38:09.160
<v Speaker 8>really gotten moving with precision rail to be very precise

0:38:09.239 --> 0:38:12.239
<v Speaker 8>in the logistics and it's really good for customers and

0:38:12.239 --> 0:38:16.040
<v Speaker 8>it's great for the margins and efficiency. Norfolk Southern had

0:38:16.040 --> 0:38:20.040
<v Speaker 8>been lagging. They have a new CEO who's in, They're

0:38:20.080 --> 0:38:24.319
<v Speaker 8>bringing management in who's much more geared towards this precision transportation.

0:38:25.080 --> 0:38:27.600
<v Speaker 8>We think this is a recovery story in two thousand

0:38:27.640 --> 0:38:31.319
<v Speaker 8>and twenty five, somewhat akin to what we had seen

0:38:31.480 --> 0:38:32.680
<v Speaker 8>at U and P last year.

0:38:33.040 --> 0:38:36.560
<v Speaker 4>You said twenty percent negative eighty percent positive stories. Is

0:38:36.600 --> 0:38:38.360
<v Speaker 4>it always that mix or does it tell you anything

0:38:38.400 --> 0:38:40.920
<v Speaker 4>about kind of sentiment or what's going on in the market.

0:38:41.640 --> 0:38:44.320
<v Speaker 8>No, you know, we try to have a balance of

0:38:45.080 --> 0:38:48.160
<v Speaker 8>you know, this standard view is looking at glass half full,

0:38:48.200 --> 0:38:51.760
<v Speaker 8>but we tried to keep an eye out towards where

0:38:51.800 --> 0:38:55.720
<v Speaker 8>do we see expectations that have run too far too fast?

0:38:55.960 --> 0:38:59.280
<v Speaker 8>And you know, our ideas range from a couple of banks,

0:38:59.320 --> 0:39:02.040
<v Speaker 8>to some consumer product companies, to tech companies.

0:39:03.040 --> 0:39:07.200
<v Speaker 5>So yes, that's Tim Craighead, Senior European strategist and director

0:39:07.239 --> 0:39:10.359
<v Speaker 5>of Research content for Bloomberg Intelligence. Check out the full

0:39:10.360 --> 0:39:13.480
<v Speaker 5>list online at Bloomberg dot com, slash BusinessWeek, and on

0:39:13.520 --> 0:39:14.520
<v Speaker 5>the Bloomberg terminal.

0:39:14.640 --> 0:39:16.280
<v Speaker 4>And we should point out, you know, one other company

0:39:16.320 --> 0:39:19.040
<v Speaker 4>we talked about with Tim Craighead that was in that

0:39:19.200 --> 0:39:24.040
<v Speaker 4>interview was Broadcom. You know the earnings. Broadcom's last earnings report,

0:39:24.040 --> 0:39:26.239
<v Speaker 4>which came out after the publishing of Business Weeks fifty

0:39:26.280 --> 0:39:29.160
<v Speaker 4>Companies to Watch, really supported why this company made the

0:39:29.200 --> 0:39:32.720
<v Speaker 4>list in the first place. Broadcom's twenty twenty four revenue

0:39:32.800 --> 0:39:35.520
<v Speaker 4>in the last quarter tim increased forty four percent year

0:39:35.560 --> 0:39:38.120
<v Speaker 4>over year to a record fifty one point six billion,

0:39:38.200 --> 0:39:41.080
<v Speaker 4>and largely due to a strong demand for AI chips.

0:39:41.280 --> 0:39:43.239
<v Speaker 4>And then the stock swored to a one trillion dollar

0:39:43.360 --> 0:39:46.040
<v Speaker 4>market evaluation on the news it's share price more than

0:39:46.080 --> 0:39:49.279
<v Speaker 4>doubling this past year. It is now, I believe Tim,

0:39:49.320 --> 0:39:51.479
<v Speaker 4>because these things move around a little bit, the second

0:39:51.520 --> 0:39:53.360
<v Speaker 4>most valuable chip company behind Nvidio.

0:39:53.440 --> 0:39:55.239
<v Speaker 5>Look, this is why you should pay attention to what

0:39:55.440 --> 0:39:58.799
<v Speaker 5>Bloomberg Intelligence and Tim Craighead and the team. Right, here's

0:39:58.840 --> 0:40:02.920
<v Speaker 5>what they wrote about ahead of those numbers. They right

0:40:03.000 --> 0:40:06.200
<v Speaker 5>that it provides a unique combination of advanced semiconductors and

0:40:06.239 --> 0:40:09.920
<v Speaker 5>infrastructure software, and it's positioned this year for accelerated growth.

0:40:10.080 --> 0:40:13.080
<v Speaker 5>It's among the leading suppliers of semiconductors used in advanced

0:40:13.120 --> 0:40:16.160
<v Speaker 5>networks that connect AI computers and data centers, and it

0:40:16.239 --> 0:40:19.399
<v Speaker 5>has a growing business selling custom AI chips to Yes,

0:40:19.600 --> 0:40:21.360
<v Speaker 5>Google and meta platforms.

0:40:21.360 --> 0:40:23.400
<v Speaker 4>I love that, so spot on right, And again that

0:40:23.520 --> 0:40:27.879
<v Speaker 4>was ahead of Broadcom's earnings, which showed that momentum. Hey,

0:40:27.880 --> 0:40:30.319
<v Speaker 4>another company that Tim mentioned you just heard about it though,

0:40:30.440 --> 0:40:32.880
<v Speaker 4>was Tesla. But Tesla also came out with some news

0:40:32.880 --> 0:40:36.240
<v Speaker 4>after we talked with Tim. Tesla's annual vehicle sales dropping

0:40:36.280 --> 0:40:38.440
<v Speaker 4>for the first time in more than a decade, despite

0:40:38.440 --> 0:40:40.840
<v Speaker 4>a year and push that sent deliveries to a record

0:40:40.880 --> 0:40:43.440
<v Speaker 4>in the fourth quarter. And we did see Tesla's shares

0:40:43.719 --> 0:40:46.400
<v Speaker 4>dropping specifically on that news. All Right, that wraps up

0:40:46.440 --> 0:40:48.720
<v Speaker 4>our first hour of the weekend edition of Bloomberg Business

0:40:48.719 --> 0:40:51.279
<v Speaker 4>Week from Bloomberg Radio. Coming up in our next hour,

0:40:51.360 --> 0:40:54.560
<v Speaker 4>a former healthcare CEO on the importance of paying workers

0:40:54.760 --> 0:40:57.640
<v Speaker 4>a living wage and why he says that is good

0:40:57.680 --> 0:40:58.200
<v Speaker 4>for business.

0:40:58.400 --> 0:41:05.080
<v Speaker 5>Plus Blue Sky versus Okay, Elon versus Altman, Sure, and

0:41:05.160 --> 0:41:07.600
<v Speaker 5>Paddington Bear versus dog Man.

0:41:07.680 --> 0:41:07.879
<v Speaker 13>What.

0:41:08.239 --> 0:41:09.879
<v Speaker 5>I don't know what's going on here, but we're gonna

0:41:09.880 --> 0:41:12.040
<v Speaker 5>break down the feuds that are going to define twenty

0:41:12.080 --> 0:41:13.080
<v Speaker 5>twenty five something.

0:41:13.160 --> 0:41:15.640
<v Speaker 4>It sounds like that Max Chofkin would talk about, So

0:41:15.719 --> 0:41:18.480
<v Speaker 4>he's coming up in the next hour. Totally, totally. Plus,

0:41:18.560 --> 0:41:20.439
<v Speaker 4>travel was back in a big way in twenty twenty four.

0:41:20.440 --> 0:41:21.040
<v Speaker 10>You know that.

0:41:21.200 --> 0:41:23.759
<v Speaker 4>So have we all hit the hotspots? Nope, says our

0:41:23.800 --> 0:41:28.120
<v Speaker 4>Bloomberg Pursuits team. We have the best cities, resorts, restaurants,

0:41:28.120 --> 0:41:30.960
<v Speaker 4>and museums to visit in the year ahead, courtesy of

0:41:31.000 --> 0:41:34.320
<v Speaker 4>our Pursuits team. And even better, we've compiled the costs

0:41:34.360 --> 0:41:36.080
<v Speaker 4>of each and every trip. All you need to do

0:41:36.160 --> 0:41:41.600
<v Speaker 4>is pack your bags.

0:41:42.920 --> 0:41:46.680
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

0:41:46.719 --> 0:41:49.719
<v Speaker 2>weekday starting at two pm Eastern on Apple car Play

0:41:49.800 --> 0:41:52.640
<v Speaker 2>and Android Auto with the Bloomberg Business App. You can

0:41:52.680 --> 0:41:55.839
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

0:41:55.920 --> 0:41:59.400
<v Speaker 2>York station. Just say Alexa play Bloomberg eleven.

0:41:59.200 --> 0:42:02.520
<v Speaker 4>Thirty Play ahead in our second hour of our first

0:42:02.560 --> 0:42:05.520
<v Speaker 4>weekend edition of Bloomberg Business Week of twenty twenty five,

0:42:05.880 --> 0:42:08.359
<v Speaker 4>we continue our look ahead, including the feuds that will

0:42:08.400 --> 0:42:11.640
<v Speaker 4>define the new year. Some beefs we knew, others we

0:42:12.160 --> 0:42:13.320
<v Speaker 4>probably don't see coming.

0:42:13.520 --> 0:42:17.000
<v Speaker 5>Plus our Bloomberg Pursuits team, in collaboration with Kayak, out

0:42:17.000 --> 0:42:19.279
<v Speaker 5>with a list of the best places worth checking out

0:42:19.280 --> 0:42:22.759
<v Speaker 5>this year. This time, they've got an interactive breakdown of

0:42:22.800 --> 0:42:25.239
<v Speaker 5>the costs at your fingertips. You are not going to

0:42:25.280 --> 0:42:28.120
<v Speaker 5>believe so cool. This tool tells you when to go,

0:42:28.640 --> 0:42:30.960
<v Speaker 5>how much it's going to cost you. And even though

0:42:30.960 --> 0:42:33.600
<v Speaker 5>it's in Pursuits, Carol, there are some affordable destinations.

0:42:33.760 --> 0:42:36.160
<v Speaker 4>Yeah, and some of them don't require a passport. That's all.

0:42:36.160 --> 0:42:37.640
<v Speaker 4>I'm going to put it out there, some of them,

0:42:37.800 --> 0:42:40.000
<v Speaker 4>some of them first up this hour. It's something we

0:42:40.040 --> 0:42:42.640
<v Speaker 4>talk a lot about here on Business Week, and that

0:42:42.760 --> 0:42:45.640
<v Speaker 4>is the gap between how much executives make versus those

0:42:45.920 --> 0:42:48.319
<v Speaker 4>on the front lines. Check this out. According to the

0:42:48.360 --> 0:42:53.799
<v Speaker 4>Economic Policy Institute, CEO compensation rose by one eighty five

0:42:53.840 --> 0:42:57.719
<v Speaker 4>percent between nineteen seventy eight and twenty twenty three, while

0:42:57.719 --> 0:43:01.440
<v Speaker 4>the typical workers compensation only rose twenty four percent. The

0:43:01.480 --> 0:43:05.080
<v Speaker 4>Economic Policy Institute also notes that in twenty twenty three,

0:43:05.360 --> 0:43:08.359
<v Speaker 4>CEOs made two hundred and ninety times as much as

0:43:08.400 --> 0:43:11.359
<v Speaker 4>the typical worker, compared to twenty one times as much

0:43:11.480 --> 0:43:14.080
<v Speaker 4>back in nineteen sixty five. Times have changed him.

0:43:14.400 --> 0:43:16.120
<v Speaker 5>This may be a surprise to you, but not to

0:43:16.160 --> 0:43:18.480
<v Speaker 5>our next guest too, says we need to quote pay

0:43:18.520 --> 0:43:22.000
<v Speaker 5>the People. John Driscoll is the former CEO of care Centrix.

0:43:22.320 --> 0:43:24.920
<v Speaker 5>It was bought by Walgreens Boots Alliance more than two

0:43:25.000 --> 0:43:28.480
<v Speaker 5>years ago. He currently chairs Magnet Global, and international staffing

0:43:28.520 --> 0:43:31.480
<v Speaker 5>company that manages over seven hundred thousand employees.

0:43:31.640 --> 0:43:34.040
<v Speaker 4>John is also author of the book Pay the People.

0:43:34.120 --> 0:43:37.160
<v Speaker 4>Why fair pay is good for business and great for America.

0:43:37.360 --> 0:43:40.759
<v Speaker 1>I'm really focusing on making the case that it's good

0:43:40.760 --> 0:43:42.960
<v Speaker 1>for business and it's good for America if we can

0:43:43.239 --> 0:43:46.120
<v Speaker 1>get to a living wage. We lost the string a

0:43:46.160 --> 0:43:50.920
<v Speaker 1>while ago. Between the nineteen thirties and nineteen eighty, median

0:43:50.960 --> 0:43:53.920
<v Speaker 1>productivity United States went up by about ninety seven percent

0:43:54.000 --> 0:43:57.320
<v Speaker 1>and the median wages went up by about ninety percent.

0:43:57.719 --> 0:44:00.800
<v Speaker 1>Since nineteen eighty two, today, product he's gone up another

0:44:00.880 --> 0:44:04.160
<v Speaker 1>ninety percent, but wages median wages have only gone up

0:44:04.239 --> 0:44:09.120
<v Speaker 1>by nine the gap. It's inconceivable that we should sort

0:44:09.120 --> 0:44:13.160
<v Speaker 1>of push working class folks farther and farther away from

0:44:13.239 --> 0:44:16.440
<v Speaker 1>being able to take part in this great capitalist adventure

0:44:16.800 --> 0:44:17.600
<v Speaker 1>that's working for.

0:44:17.520 --> 0:44:18.319
<v Speaker 3>So many of us.

0:44:18.600 --> 0:44:21.719
<v Speaker 1>But you know, there's forty million people in America who

0:44:21.760 --> 0:44:23.680
<v Speaker 1>aren't earning a living wage.

0:44:23.960 --> 0:44:26.920
<v Speaker 5>Do you think the incentives are misaligned? Because if we

0:44:26.960 --> 0:44:30.040
<v Speaker 5>think about and you've been part of publicly traded companies before,

0:44:30.640 --> 0:44:33.840
<v Speaker 5>what do investors care about? They care about the top line,

0:44:34.080 --> 0:44:35.239
<v Speaker 5>and they care about the bottom we.

0:44:35.200 --> 0:44:37.719
<v Speaker 4>Never talk about. Okay, so they'll you know how much?

0:44:37.880 --> 0:44:38.560
<v Speaker 5>Yeah, how much?

0:44:38.600 --> 0:44:40.680
<v Speaker 4>Did you know the people on the front lines make you.

0:44:40.600 --> 0:44:43.040
<v Speaker 5>Know what they care? They care about automation and increasing margins.

0:44:43.120 --> 0:44:43.400
<v Speaker 8>Yeah.

0:44:43.480 --> 0:44:46.520
<v Speaker 1>But I think though that you're starting to see things

0:44:46.600 --> 0:44:47.640
<v Speaker 1>change you at my own.

0:44:47.480 --> 0:44:50.560
<v Speaker 5>Companies is twenty eighteen with the economic roundtable. Well, it's

0:44:50.600 --> 0:44:51.239
<v Speaker 5>only gotten work.

0:44:51.760 --> 0:44:53.640
<v Speaker 1>I think that the Well, first of all, the trend's

0:44:53.640 --> 0:44:55.879
<v Speaker 1>been horrible for the last thirty years, as I.

0:44:55.880 --> 0:44:56.680
<v Speaker 3>Just pointed out.

0:44:56.840 --> 0:45:00.000
<v Speaker 1>But at my own company, when we froze executive salary

0:45:00.360 --> 0:45:04.000
<v Speaker 1>and double minimum wage twelve years ago, retention went up,

0:45:04.040 --> 0:45:06.680
<v Speaker 1>engagement went up, but productivity also went up by about

0:45:06.719 --> 0:45:07.360
<v Speaker 1>thirty percent.

0:45:07.640 --> 0:45:08.400
<v Speaker 3>And you're starting to.

0:45:08.400 --> 0:45:11.319
<v Speaker 1>See some of the most successful companies in America, Bank

0:45:11.360 --> 0:45:14.759
<v Speaker 1>of America JP Morgan also raised their wages to a

0:45:14.800 --> 0:45:17.280
<v Speaker 1>living wage. They did it as part of that business

0:45:17.400 --> 0:45:22.719
<v Speaker 1>Roundtable commitment. But what they found is that it lowered

0:45:22.960 --> 0:45:24.839
<v Speaker 1>the number of people who were leaving their jobs. Because

0:45:24.880 --> 0:45:27.239
<v Speaker 1>people who are working in minimum wage jobs are often

0:45:27.280 --> 0:45:30.279
<v Speaker 1>working two jobs, they're not as engaged. They found that

0:45:30.320 --> 0:45:33.000
<v Speaker 1>productivity went up. What they invested in kind of a

0:45:33.920 --> 0:45:36.520
<v Speaker 1>if you want a fair or social contract, they found

0:45:36.560 --> 0:45:39.399
<v Speaker 1>they had a more successful and profitable business. I think

0:45:39.480 --> 0:45:41.919
<v Speaker 1>the most important thing is we get the story out

0:45:41.920 --> 0:45:45.040
<v Speaker 1>that it is a productivity gain and a win for

0:45:45.080 --> 0:45:49.279
<v Speaker 1>the companies, and also that I don't think that capitalism

0:45:49.360 --> 0:45:52.640
<v Speaker 1>can easily be sustained if the bottom third of the

0:45:52.640 --> 0:45:56.680
<v Speaker 1>workforce isn't really part of If the company wins.

0:45:56.440 --> 0:45:58.840
<v Speaker 4>You win, So why don't we do it? Then you

0:45:58.920 --> 0:46:02.239
<v Speaker 4>lay out a really good an argument, why isn't it

0:46:02.239 --> 0:46:03.440
<v Speaker 4>that more companies don't do that?

0:46:03.640 --> 0:46:05.520
<v Speaker 1>Well, That's what I am focused right now, Carol, on

0:46:05.640 --> 0:46:08.520
<v Speaker 1>selling that story and telling that story, because even for

0:46:08.600 --> 0:46:12.560
<v Speaker 1>the executives that have done it, they're surprised at how

0:46:13.640 --> 0:46:17.400
<v Speaker 1>it increases how long folks stay at jobs. It increases

0:46:17.480 --> 0:46:20.200
<v Speaker 1>their productivity. But that's not a story that many people

0:46:20.200 --> 0:46:22.919
<v Speaker 1>have told, and they certainly haven't told it with very

0:46:22.960 --> 0:46:26.560
<v Speaker 1>specific examples. You know, our ability to pay claims grew

0:46:26.640 --> 0:46:30.400
<v Speaker 1>by thirty percent, people stated our company for longer. We

0:46:30.440 --> 0:46:34.120
<v Speaker 1>had fewer people quietly quitting or quitting very quickly, and

0:46:34.200 --> 0:46:37.680
<v Speaker 1>so I think it's selling and telling that story. I

0:46:37.719 --> 0:46:40.600
<v Speaker 1>also think that we're getting the message in a lot

0:46:40.600 --> 0:46:41.319
<v Speaker 1>of different ways.

0:46:41.360 --> 0:46:43.399
<v Speaker 3>I think the reason why we have so.

0:46:43.440 --> 0:46:49.160
<v Speaker 1>Much rancor anger and discontentment in working class voters of

0:46:49.200 --> 0:46:52.600
<v Speaker 1>all races and backgrounds is they're not really feeling like

0:46:52.640 --> 0:46:55.919
<v Speaker 1>they're part of business, of an America that works, where

0:46:55.960 --> 0:46:57.960
<v Speaker 1>business is clearly working and being successful.

0:46:58.040 --> 0:46:58.560
<v Speaker 10>Chaus Johnny.

0:46:58.600 --> 0:46:59.919
<v Speaker 4>One of the things Tim and I have talked about

0:46:59.920 --> 0:47:01.480
<v Speaker 4>it a lot, and you write about the restaurant in

0:47:01.680 --> 0:47:05.000
<v Speaker 4>Association and the restaurant industry that I feel like, first

0:47:05.040 --> 0:47:06.920
<v Speaker 4>of all, we feel like there's a tip jar everywhere,

0:47:07.120 --> 0:47:09.160
<v Speaker 4>and to me, it just says we're not paying workers enough.

0:47:09.280 --> 0:47:13.000
<v Speaker 4>And I like, why aren't companies paying workers? Why do

0:47:14.000 --> 0:47:15.799
<v Speaker 4>I have like I would rather pay more for an

0:47:15.840 --> 0:47:18.680
<v Speaker 4>item and just ensure that these workers are getting paid.

0:47:19.400 --> 0:47:22.000
<v Speaker 4>I think about the restaurant industry that you know, right,

0:47:22.000 --> 0:47:23.759
<v Speaker 4>they expect that they're going to be tips, Like, how

0:47:23.800 --> 0:47:25.400
<v Speaker 4>do we kind of rework that?

0:47:25.560 --> 0:47:28.200
<v Speaker 1>Well, I think we have to actually tell the story,

0:47:28.320 --> 0:47:30.760
<v Speaker 1>sell the story, and then organize. But there are plenty

0:47:30.760 --> 0:47:34.960
<v Speaker 1>of examples. Danny Meyers has been a leader and a

0:47:35.000 --> 0:47:38.759
<v Speaker 1>supporter of the movement that we're working on, which is

0:47:38.800 --> 0:47:41.680
<v Speaker 1>to eliminate kind of the tipped minimum wage, which is

0:47:41.719 --> 0:47:45.000
<v Speaker 1>still at three dollars and twenty five cents. It's unbelievable,

0:47:45.000 --> 0:47:49.360
<v Speaker 1>and you start think if you're we're not talking about Danielle,

0:47:49.400 --> 0:47:52.080
<v Speaker 1>we're talking about most people are working at Denny's. And

0:47:52.120 --> 0:47:54.680
<v Speaker 1>when you increase the minimum wage and you get to

0:47:54.760 --> 0:47:59.200
<v Speaker 1>a fair wage. You know, California raise the fast food minimum.

0:47:58.880 --> 0:48:00.520
<v Speaker 3>Wage to twenty an hour.

0:48:00.520 --> 0:48:02.520
<v Speaker 1>I thought it was an odd thing to do, but

0:48:02.560 --> 0:48:05.200
<v Speaker 1>there was a lot of complaints that that would harm

0:48:05.280 --> 0:48:08.840
<v Speaker 1>the industry. There's thousands more fast food jobs.

0:48:08.880 --> 0:48:10.279
<v Speaker 5>Now, why did you think it was an odd thing

0:48:10.320 --> 0:48:10.560
<v Speaker 5>to do?

0:48:10.960 --> 0:48:12.960
<v Speaker 1>Well, I think it was odd to just bring it

0:48:13.040 --> 0:48:16.839
<v Speaker 1>up for one category. For me, the most important thing

0:48:16.920 --> 0:48:20.120
<v Speaker 1>is to eliminate minimum wage across the board and get

0:48:20.160 --> 0:48:21.080
<v Speaker 1>to a living wage.

0:48:21.160 --> 0:48:22.879
<v Speaker 3>Get to I mean again, you've got.

0:48:22.880 --> 0:48:26.440
<v Speaker 1>Forty million people where they're working full time jobs, and

0:48:26.480 --> 0:48:30.080
<v Speaker 1>one job doesn't afford them enough to live independently and

0:48:30.400 --> 0:48:31.120
<v Speaker 1>pay their bills.

0:48:31.200 --> 0:48:34.319
<v Speaker 5>What do you think of the most wealthy people in

0:48:34.360 --> 0:48:36.600
<v Speaker 5>the world right now, someone like Elon Musk, for example,

0:48:36.600 --> 0:48:39.520
<v Speaker 5>whose fortune has increased by roughly two hundred million dollars

0:48:39.640 --> 0:48:41.640
<v Speaker 5>just since the election. What do you make of the

0:48:41.640 --> 0:48:43.160
<v Speaker 5>concentration of wealth at the very top.

0:48:43.320 --> 0:48:45.800
<v Speaker 1>Well, I think one of the things that we actually

0:48:45.840 --> 0:48:49.799
<v Speaker 1>got me excited about patriotic millionaires is that we I

0:48:49.880 --> 0:48:53.799
<v Speaker 1>was deeply offended by the notion of the elimination the

0:48:53.840 --> 0:48:57.440
<v Speaker 1>reduction of taxes on the most wealthy and the reduction

0:48:57.800 --> 0:49:00.800
<v Speaker 1>of the estate tax, because I think the the threat

0:49:00.800 --> 0:49:07.240
<v Speaker 1>of intergenerational oligarchic wealth of massive scale, intentionally or unintentionally

0:49:07.280 --> 0:49:11.640
<v Speaker 1>disdistorting the politics of the moment is a real challenge.

0:49:11.680 --> 0:49:13.879
<v Speaker 1>And that was twenty years ago when I started, when

0:49:13.920 --> 0:49:16.879
<v Speaker 1>I worked started working with patriotic millionaires. But I don't

0:49:16.920 --> 0:49:21.359
<v Speaker 1>think the biggest problem we have is the massive accumulation

0:49:21.480 --> 0:49:23.839
<v Speaker 1>at the top, because part of that's related to technology.

0:49:24.040 --> 0:49:24.719
<v Speaker 3>It's the fact that we.

0:49:24.840 --> 0:49:28.080
<v Speaker 1>Cut off the bottom third of workers in America, and

0:49:28.160 --> 0:49:32.120
<v Speaker 1>that's not going to be good for the economy. If

0:49:32.160 --> 0:49:33.799
<v Speaker 1>more and more people feel like they're not part of

0:49:33.800 --> 0:49:34.520
<v Speaker 1>the American dream.

0:49:34.520 --> 0:49:35.320
<v Speaker 3>We're the only.

0:49:35.160 --> 0:49:38.840
<v Speaker 1>Country that dream is associated with the country. Our country

0:49:38.880 --> 0:49:41.960
<v Speaker 1>is held together by this notion that we're in it together.

0:49:42.280 --> 0:49:44.840
<v Speaker 1>If that, if the bottom third of America does, from

0:49:44.880 --> 0:49:48.040
<v Speaker 1>a wages and wealth perspective, doesn't feel like they're part

0:49:48.040 --> 0:49:50.040
<v Speaker 1>of it, I worry about democracy.

0:49:50.320 --> 0:49:52.040
<v Speaker 3>I think there are plenty of things you could do

0:49:52.120 --> 0:49:52.920
<v Speaker 3>in tax.

0:49:52.640 --> 0:49:56.439
<v Speaker 1>Policy to increase to certainly make sure that, as Warren

0:49:56.480 --> 0:49:59.680
<v Speaker 1>Buffett says, he isn't paying a lower percentage of taxes

0:49:59.800 --> 0:50:02.480
<v Speaker 1>than his assistant. I think we should have a fair

0:50:02.840 --> 0:50:06.760
<v Speaker 1>inheritance SAX so we don't have these massive concentrations of wealth.

0:50:06.920 --> 0:50:09.479
<v Speaker 1>But the urgent problem of today is to pay people

0:50:09.480 --> 0:50:12.640
<v Speaker 1>who are working hard, leaning in people who are at

0:50:12.920 --> 0:50:15.480
<v Speaker 1>at the bottom third of the wage scale, who are really,

0:50:15.640 --> 0:50:18.520
<v Speaker 1>you know, running up a down escalator of costs, particularly

0:50:18.520 --> 0:50:19.440
<v Speaker 1>a time of inflation.

0:50:19.560 --> 0:50:21.640
<v Speaker 4>So how do we get executives to start thinking about it.

0:50:21.680 --> 0:50:24.920
<v Speaker 4>We have many conversations with CEOs. We often do hear

0:50:24.960 --> 0:50:27.600
<v Speaker 4>about having to pay up for talent, but I'm assuming

0:50:27.600 --> 0:50:31.279
<v Speaker 4>they mean executives and folks kind of higher up in

0:50:31.320 --> 0:50:33.879
<v Speaker 4>their company and not necessarily everyone how do we get

0:50:33.920 --> 0:50:36.920
<v Speaker 4>them to think about that all across all of the

0:50:36.920 --> 0:50:37.759
<v Speaker 4>workers that they pay for.

0:50:38.080 --> 0:50:40.480
<v Speaker 1>Well, I don't know how we convince them, but the

0:50:40.600 --> 0:50:43.920
<v Speaker 1>voters are already there. Raising the minimum wage to a

0:50:44.040 --> 0:50:47.120
<v Speaker 1>higher level has won in almost I think it's I

0:50:47.120 --> 0:50:50.200
<v Speaker 1>think it's nineteen out of twenty states it's been put

0:50:50.239 --> 0:50:53.080
<v Speaker 1>on the ballot in the last election cycle. Raising the

0:50:53.120 --> 0:50:56.279
<v Speaker 1>minimum wage won by six points in Missouri, it went

0:50:56.400 --> 0:50:59.040
<v Speaker 1>easily in Alaska. Those are both Trump plus ten or

0:50:59.080 --> 0:50:59.880
<v Speaker 1>twenty states.

0:51:00.200 --> 0:51:01.319
<v Speaker 3>And the and the the.

0:51:01.239 --> 0:51:05.840
<v Speaker 1>Republican attempt to reduce the raise raising the tip minimum

0:51:05.840 --> 0:51:08.759
<v Speaker 1>wage actually was defeated at the ballot box in Arizona.

0:51:09.040 --> 0:51:11.359
<v Speaker 1>So the voters are already there. I think the only

0:51:11.400 --> 0:51:14.520
<v Speaker 1>way we're going to get there today is politically, because

0:51:14.840 --> 0:51:18.239
<v Speaker 1>the if you have to convince one executive at a time,

0:51:18.520 --> 0:51:21.080
<v Speaker 1>will be here forever through voters. We have to we

0:51:21.160 --> 0:51:22.719
<v Speaker 1>have to put it on the ballot, we have to

0:51:22.719 --> 0:51:23.800
<v Speaker 1>get it through Congress.

0:51:24.040 --> 0:51:25.920
<v Speaker 3>And I think, what's what's what?

0:51:25.920 --> 0:51:29.279
<v Speaker 1>What what's remarkable to me is the Republican voters are

0:51:29.280 --> 0:51:29.879
<v Speaker 1>already there.

0:51:30.160 --> 0:51:32.600
<v Speaker 5>Is it a zero sum game? Like? Is it if

0:51:32.800 --> 0:51:35.320
<v Speaker 5>to pay workers more, do executives have to earn less?

0:51:35.520 --> 0:51:36.960
<v Speaker 1>Not not at all.

0:51:37.040 --> 0:51:37.640
<v Speaker 3>I mean there is.

0:51:38.160 --> 0:51:42.120
<v Speaker 1>I mean the most recent example of raising fast food

0:51:42.160 --> 0:51:45.840
<v Speaker 1>minimum wage and creating more fast food jobs is the

0:51:46.480 --> 0:51:49.880
<v Speaker 1>example of the last couple of years. But when the

0:51:49.880 --> 0:51:53.520
<v Speaker 1>restaurant associations we talk about in the book actually pulled

0:51:53.640 --> 0:51:57.640
<v Speaker 1>its members, not its lobbyists in d C, they found

0:51:57.640 --> 0:52:01.880
<v Speaker 1>that many of them actually wanted to increase those wages.

0:52:02.280 --> 0:52:06.360
<v Speaker 1>There's a Nobel Prize winning economist who studied what happened

0:52:06.680 --> 0:52:11.200
<v Speaker 1>when New York raised its wages in hospitality and Pennsylvania didn't.

0:52:11.400 --> 0:52:13.600
<v Speaker 1>And what found is what they found is that the

0:52:13.640 --> 0:52:17.120
<v Speaker 1>New York businesses actually grew faster, which means those business

0:52:17.120 --> 0:52:20.200
<v Speaker 1>owners made more money even though the wages that they

0:52:20.200 --> 0:52:21.600
<v Speaker 1>had to pay were higher.

0:52:21.640 --> 0:52:23.759
<v Speaker 5>Well, do you think raising the minimum wage in one

0:52:23.840 --> 0:52:27.719
<v Speaker 5>sector like restaurants does raise minimum wage across other sectories too?

0:52:27.800 --> 0:52:29.120
<v Speaker 5>You don't think so. So you don't think like, if

0:52:29.160 --> 0:52:31.440
<v Speaker 5>you're getting paid twenty dollars an hour to work at McDonald's,

0:52:31.440 --> 0:52:36.560
<v Speaker 5>then the warehouse owner has to raise their wages to

0:52:36.719 --> 0:52:38.239
<v Speaker 5>that or else their employees are going to go work

0:52:38.239 --> 0:52:38.920
<v Speaker 5>at McDonald's.

0:52:38.960 --> 0:52:39.799
<v Speaker 4>When is the burger going.

0:52:39.760 --> 0:52:40.120
<v Speaker 5>To go up?

0:52:40.280 --> 0:52:41.200
<v Speaker 8>I'm going to go up?

0:52:41.400 --> 0:52:45.279
<v Speaker 1>I Well, the reality is the percentage of labor that

0:52:45.320 --> 0:52:47.920
<v Speaker 1>goes into the Big Mac is actually pretty trivial. Probably

0:52:47.920 --> 0:52:50.560
<v Speaker 1>to pay a living wage at McDonald's it would probably

0:52:50.560 --> 0:52:53.040
<v Speaker 1>go by four to five cents per burger. So I

0:52:53.080 --> 0:52:55.160
<v Speaker 1>think it's not it's deminimous.

0:52:55.239 --> 0:52:56.920
<v Speaker 4>I'm playing a little bit Devil's advocate here.

0:52:57.160 --> 0:53:00.680
<v Speaker 1>No, absolutely, But where I was going with is we're

0:53:00.680 --> 0:53:04.560
<v Speaker 1>moving too slowly. It's time to actually change the laws,

0:53:05.000 --> 0:53:07.440
<v Speaker 1>change the rules, and make sure that everybody at the

0:53:07.480 --> 0:53:10.560
<v Speaker 1>bottom end of the pay scale is paid a living wage.

0:53:10.560 --> 0:53:13.759
<v Speaker 1>And that's true for folks. We've got to eliminate the tip,

0:53:13.760 --> 0:53:18.520
<v Speaker 1>minimum wage. I would eliminate the discount for disabled workers.

0:53:19.920 --> 0:53:22.920
<v Speaker 1>We have to get to the point where all executives

0:53:22.920 --> 0:53:26.200
<v Speaker 1>who believe in the dignity of work start paying wages

0:53:26.480 --> 0:53:29.080
<v Speaker 1>that are equivalent to dignified pay.

0:53:29.239 --> 0:53:31.759
<v Speaker 5>We have this terminal function on the Bloomberg terminal where

0:53:31.800 --> 0:53:34.440
<v Speaker 5>we can look up executive compensation. So forgive me for

0:53:34.520 --> 0:53:37.239
<v Speaker 5>being fresh, but you are part of a group that

0:53:37.400 --> 0:53:40.279
<v Speaker 5>does argue that many people should be getting paid more

0:53:40.280 --> 0:53:42.560
<v Speaker 5>and executives sometimes should be getting paid less than twenty

0:53:42.560 --> 0:53:46.000
<v Speaker 5>twenty three, your total compensation was over eleven million dollars.

0:53:46.440 --> 0:53:48.239
<v Speaker 5>Was that too much? Were you paid too much?

0:53:48.520 --> 0:53:52.160
<v Speaker 1>I have been the beneficiary of a capitalist system that

0:53:52.560 --> 0:53:55.400
<v Speaker 1>overpays the top and isn't paying enough at the bottom.

0:53:55.800 --> 0:54:01.720
<v Speaker 1>But I am absolutely certain and I'm that we could,

0:54:01.880 --> 0:54:05.840
<v Speaker 1>we could raise get to a living wage level and

0:54:05.880 --> 0:54:08.560
<v Speaker 1>it would have it would make no big dent on

0:54:08.680 --> 0:54:10.120
<v Speaker 1>the comp at the top.

0:54:10.560 --> 0:54:12.120
<v Speaker 3>But let me also say that, as a.

0:54:12.040 --> 0:54:14.680
<v Speaker 1>Patriotic millionaire, I am on the record as saying I

0:54:14.680 --> 0:54:18.000
<v Speaker 1>think we should increase taxes on people like me and

0:54:18.239 --> 0:54:19.839
<v Speaker 1>increase the state tax for.

0:54:19.840 --> 0:54:20.239
<v Speaker 3>All of us.

0:54:20.560 --> 0:54:23.040
<v Speaker 5>How high should they be? Because if you go back

0:54:23.040 --> 0:54:26.600
<v Speaker 5>in history, I mean, the top marginal tax rate used

0:54:26.600 --> 0:54:29.120
<v Speaker 5>to would shock you know, fifty sixty years ago, would

0:54:29.120 --> 0:54:31.879
<v Speaker 5>shock people today. Yeah, I mean it was.

0:54:32.000 --> 0:54:33.160
<v Speaker 1>It was insanely high.

0:54:33.200 --> 0:54:34.200
<v Speaker 5>It was insanely high.

0:54:34.560 --> 0:54:40.400
<v Speaker 1>Let's start by not approving, not extending the tax cuts

0:54:40.840 --> 0:54:46.000
<v Speaker 1>that Trump put in place when he was in office.

0:54:46.280 --> 0:54:49.399
<v Speaker 1>Let's start by getting to a level that we were

0:54:49.400 --> 0:54:53.279
<v Speaker 1>paying during the Clinton administration, which was one of the

0:54:53.280 --> 0:54:56.080
<v Speaker 1>greatest periods of prosperity, and we were actually paying down

0:54:56.640 --> 0:54:59.719
<v Speaker 1>the debt. We have a one point seven trillion dollar

0:54:59.800 --> 0:55:02.759
<v Speaker 1>debt sit this year. It is not going to be

0:55:02.800 --> 0:55:04.600
<v Speaker 1>news to anyone who can do math that all of

0:55:04.640 --> 0:55:06.719
<v Speaker 1>us are going to be paying taxes, and I think

0:55:06.840 --> 0:55:08.920
<v Speaker 1>it should be very clear that people like me should

0:55:08.920 --> 0:55:10.680
<v Speaker 1>be paying more taxes than most.

0:55:10.840 --> 0:55:12.520
<v Speaker 4>Yeah, but we've been hearing this for a couple of years.

0:55:12.560 --> 0:55:14.040
<v Speaker 4>I mean I remember being out at Milkin a few

0:55:14.120 --> 0:55:15.920
<v Speaker 4>years ago and people saying, Yep, it's time for us

0:55:15.960 --> 0:55:18.160
<v Speaker 4>to pay more taxes, really wealthy individuals, and yet here

0:55:18.160 --> 0:55:19.560
<v Speaker 4>we are. One thing I want to ask you, because

0:55:19.560 --> 0:55:21.720
<v Speaker 4>we're running out of time, is that if we believe

0:55:21.760 --> 0:55:23.800
<v Speaker 4>in a free market, I'm looking at your book about

0:55:23.920 --> 0:55:25.279
<v Speaker 4>some of the myths that are out there that if

0:55:25.280 --> 0:55:27.320
<v Speaker 4>we pay people a living wage. You know, some of

0:55:27.360 --> 0:55:29.520
<v Speaker 4>the myths that you kind of address, And one is

0:55:29.560 --> 0:55:31.359
<v Speaker 4>this isn't an issue for the government because the free

0:55:31.400 --> 0:55:33.840
<v Speaker 4>market will naturally take care of it. We saw wages

0:55:33.880 --> 0:55:36.319
<v Speaker 4>go up during the pandemic and out of it because

0:55:36.320 --> 0:55:39.000
<v Speaker 4>there was a shortage of workers and so supplied demand.

0:55:39.040 --> 0:55:41.560
<v Speaker 4>Free market it was at work. But I don't know

0:55:41.600 --> 0:55:44.440
<v Speaker 4>that that will continue. Will the free market kind of

0:55:44.480 --> 0:55:45.400
<v Speaker 4>help bring this about?

0:55:45.600 --> 0:55:47.680
<v Speaker 1>Well, I think if you look at where wages are

0:55:47.760 --> 0:55:50.640
<v Speaker 1>right now, even during the pandemic, while there was a

0:55:50.680 --> 0:55:54.600
<v Speaker 1>slight bump in wages at the bottom costs went up

0:55:55.200 --> 0:55:58.000
<v Speaker 1>at twice the rate that wages went up, and so no,

0:55:58.120 --> 0:55:59.520
<v Speaker 1>the free market has failed.

0:56:00.200 --> 0:56:03.080
<v Speaker 3>And by the way, it worked when we.

0:56:03.080 --> 0:56:07.280
<v Speaker 1>Actually had a minimum wage that was closer to reflecting

0:56:07.280 --> 0:56:10.920
<v Speaker 1>a living wage, which drove the greatest period of economic

0:56:11.000 --> 0:56:13.799
<v Speaker 1>success the world has ever seen between the forties and

0:56:13.840 --> 0:56:17.600
<v Speaker 1>the eighties. We unhooked that the bottom third of the

0:56:17.640 --> 0:56:20.640
<v Speaker 1>workforce at that point, and I think we've got a

0:56:20.640 --> 0:56:24.320
<v Speaker 1>pretty angry, unhappy electorate and a lot of people living.

0:56:24.200 --> 0:56:25.960
<v Speaker 3>In near poverty and that's just not fair.

0:56:26.120 --> 0:56:29.080
<v Speaker 4>We just had a conversation with was it the CEO

0:56:29.160 --> 0:56:32.719
<v Speaker 4>of Feeding in America, Yeah, and just talked about, you know,

0:56:32.880 --> 0:56:35.759
<v Speaker 4>the people who just don't have enough food on their table.

0:56:36.120 --> 0:56:37.160
<v Speaker 5>Food and security in this country.

0:56:37.239 --> 0:56:40.520
<v Speaker 4>Insecurity just incredible, the percentages and.

0:56:41.000 --> 0:56:42.719
<v Speaker 1>One out of three or four kids, one out of

0:56:42.719 --> 0:56:43.480
<v Speaker 1>five households.

0:56:43.560 --> 0:56:44.759
<v Speaker 3>That is unacceptable.

0:56:44.800 --> 0:56:47.400
<v Speaker 1>And by the way, paying a living wage is not

0:56:47.480 --> 0:56:50.319
<v Speaker 1>going to cost capitalism, it's actually going to improve our

0:56:50.360 --> 0:56:51.040
<v Speaker 1>markets and business.

0:56:51.080 --> 0:56:53.040
<v Speaker 4>In thirty seconds, Is a living wage the same in

0:56:53.080 --> 0:56:55.640
<v Speaker 4>every state, in every city, It's got to be depending

0:56:55.640 --> 0:56:56.400
<v Speaker 4>on the locale.

0:56:56.760 --> 0:57:00.120
<v Speaker 1>No, I think that the FEDS should set a living

0:57:00.160 --> 0:57:03.399
<v Speaker 1>wage at the national median okay, and then you can

0:57:03.480 --> 0:57:05.680
<v Speaker 1>vary it up or down based on I mean vary

0:57:05.680 --> 0:57:08.799
<v Speaker 1>it up rather based on what the true costs. The

0:57:08.800 --> 0:57:10.799
<v Speaker 1>costs in LA and New York are very different than

0:57:10.800 --> 0:57:16.000
<v Speaker 1>the cost in Jackson, Mississippi, or you know, or West Texas.

0:57:16.000 --> 0:57:17.120
<v Speaker 3>You have to vary it.

0:57:17.440 --> 0:57:19.720
<v Speaker 1>But the old minimum is so low right now as

0:57:19.720 --> 0:57:22.760
<v Speaker 1>to be insulting to workers. I yeah, I.

0:57:22.680 --> 0:57:25.320
<v Speaker 4>Feel like you're preaching to the choir. John Driscoll, come

0:57:25.400 --> 0:57:29.240
<v Speaker 4>back soon. This was an important conversations. Of course, former

0:57:29.320 --> 0:57:31.919
<v Speaker 4>CEF care centric his new book, Pay the People, Why

0:57:31.960 --> 0:57:36.480
<v Speaker 4>fair pay is good for business and great for America.

0:57:36.640 --> 0:57:40.400
<v Speaker 2>This is the Bloomberg Business Week podcast. Listen live each

0:57:40.440 --> 0:57:43.400
<v Speaker 2>weekday starting at two pm Eastern on Apple car Play

0:57:43.520 --> 0:57:46.160
<v Speaker 2>and the Android Auto with the Bloomberg Business app. You

0:57:46.200 --> 0:57:49.400
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:57:49.440 --> 0:57:53.200
<v Speaker 2>New York station Just Say Alexa played Bloomberg eleven thirty.

0:57:54.480 --> 0:57:55.320
<v Speaker 10>In one corner, we.

0:57:55.280 --> 0:57:57.880
<v Speaker 4>Have the world richest man, electric car and rocket Titan

0:57:57.960 --> 0:58:01.360
<v Speaker 4>and self proclaimed first buddy of Don Trump. In the

0:58:01.400 --> 0:58:05.560
<v Speaker 4>other corner, Open AI's chief executive officer, whom Elon Musk

0:58:05.640 --> 0:58:08.800
<v Speaker 4>has accused in a lawsuit of hijacking the venture in

0:58:08.880 --> 0:58:11.920
<v Speaker 4>pursuit of profit. This feud, as you now know, is

0:58:11.960 --> 0:58:14.160
<v Speaker 4>between Elon and Sam Altman.

0:58:14.600 --> 0:58:17.480
<v Speaker 5>That's just one of the many feuds that Bloomberg BusinessWeek

0:58:17.480 --> 0:58:20.560
<v Speaker 5>columnist Max Chafkin writes about in the yearhead issue of

0:58:20.560 --> 0:58:23.600
<v Speaker 5>Bloomberg Business Week. Max is also co host of the

0:58:23.600 --> 0:58:26.280
<v Speaker 5>Elon Inc. Podcast and the author of the book The

0:58:26.320 --> 0:58:30.320
<v Speaker 5>Contrarian Peter Thiel and Silicon Valley's Pursuit of Power. Max

0:58:30.360 --> 0:58:33.040
<v Speaker 5>breaks down the characters for the top feuds in twenty

0:58:33.080 --> 0:58:35.760
<v Speaker 5>twenty five with Carrol and Bloomberg's Emily GRIFFEO.

0:58:36.160 --> 0:58:39.520
<v Speaker 14>Well, you know, business Week is forecasting all the trends

0:58:39.600 --> 0:58:42.840
<v Speaker 14>we anticipate in twenty twenty five, you know, markets and

0:58:42.880 --> 0:58:45.640
<v Speaker 14>so on that'll be up and what'll be down. But

0:58:45.720 --> 0:58:48.160
<v Speaker 14>of course feuds, you know, who's going to be fighting

0:58:48.160 --> 0:58:50.480
<v Speaker 14>with who is always a fun question. And I think

0:58:50.760 --> 0:58:55.040
<v Speaker 14>you know, during a during the soon to be Trump presidency,

0:58:55.680 --> 0:58:57.720
<v Speaker 14>we'll probably be seeing more of those, right. This is

0:58:58.200 --> 0:59:02.000
<v Speaker 14>a president elect who who loves a good you know,

0:59:02.160 --> 0:59:05.120
<v Speaker 14>public bruhaha. And we've got quite a few characters, you know,

0:59:05.280 --> 0:59:07.440
<v Speaker 14>who are connected to the administration, who are in the

0:59:07.480 --> 0:59:08.840
<v Speaker 14>middle of fights of their own.

0:59:09.640 --> 0:59:12.120
<v Speaker 4>And it sounds like Elon pops into a couple of

0:59:12.160 --> 0:59:14.520
<v Speaker 4>these feuds, which is no surprise since he kind of

0:59:14.760 --> 0:59:15.840
<v Speaker 4>is popping up everywhere.

0:59:16.800 --> 0:59:19.560
<v Speaker 14>Yeah, he's he feuds with a lot of folks. The

0:59:19.600 --> 0:59:22.920
<v Speaker 14>one we picked on to focus on is Sam Altman,

0:59:23.040 --> 0:59:26.320
<v Speaker 14>the CEO of open ai, which is, you know, the

0:59:26.760 --> 0:59:32.280
<v Speaker 14>basically the market leading artificial intelligence chat pop platform. Elon

0:59:32.400 --> 0:59:36.959
<v Speaker 14>Musk has been beefing with Sam Altman for years, dating

0:59:36.960 --> 0:59:38.800
<v Speaker 14>all the way back to the founding this company. To

0:59:39.240 --> 0:59:41.880
<v Speaker 14>give you the sort of quick version of it, basically,

0:59:42.000 --> 0:59:44.160
<v Speaker 14>it was started as a nonprofit and has kind of

0:59:44.520 --> 0:59:47.520
<v Speaker 14>morphed into something else. Elon Musk is not.

0:59:47.600 --> 0:59:48.440
<v Speaker 5>Happy about that.

0:59:48.840 --> 0:59:51.440
<v Speaker 14>Partly, he says, you know, just because of the principle,

0:59:51.800 --> 0:59:54.280
<v Speaker 14>but also, oh, by the way, he happens to own

0:59:54.440 --> 0:59:57.080
<v Speaker 14>a significant competitor to open ai. So there's a there's

0:59:57.080 --> 1:00:00.120
<v Speaker 14>sort of a business dispute and an ethical dispute, and

1:00:00.160 --> 1:00:04.320
<v Speaker 14>of course a potential regulatory dispute because the Trump administration,

1:00:04.360 --> 1:00:07.760
<v Speaker 14>the next Trump administration will be seeking to change the

1:00:07.800 --> 1:00:10.960
<v Speaker 14>AI regulatory framework and Elon Musk could have a voice there.

1:00:11.400 --> 1:00:13.320
<v Speaker 4>You didn't you let that the good part what Elon

1:00:13.400 --> 1:00:14.680
<v Speaker 4>has called Sam.

1:00:15.240 --> 1:00:19.880
<v Speaker 14>Right, Yes, Elon has adopted the Trump thing of giving

1:00:19.920 --> 1:00:23.880
<v Speaker 14>everyone nickname, so he called Sam Altman Swindley Sam. So,

1:00:24.160 --> 1:00:28.720
<v Speaker 14>you know, given how much Elon Musk tweets, and also

1:00:28.840 --> 1:00:32.240
<v Speaker 14>the kind of merging between Elon Musk and Trump, I

1:00:32.240 --> 1:00:33.800
<v Speaker 14>think that would be another thing to look out for

1:00:33.880 --> 1:00:36.840
<v Speaker 14>other nicknames, other people who might earn an epithet.

1:00:37.280 --> 1:00:38.920
<v Speaker 13>Okay, So I want to get to the other feuds.

1:00:38.960 --> 1:00:42.560
<v Speaker 13>But weren't they weren't Sam Altman and Elon Musk didn't

1:00:42.600 --> 1:00:45.080
<v Speaker 13>they initially work together like they were first going to

1:00:45.120 --> 1:00:47.720
<v Speaker 13>be business partners, and now this has fallen into such

1:00:47.720 --> 1:00:48.160
<v Speaker 13>a feud.

1:00:49.040 --> 1:00:52.080
<v Speaker 14>They were co founders of Open AI, right, and you

1:00:52.120 --> 1:00:54.360
<v Speaker 14>know that is the that's kind of the source of

1:00:54.360 --> 1:00:57.120
<v Speaker 14>this because Elon Musk gave a bunch of money to

1:00:57.200 --> 1:01:00.480
<v Speaker 14>start this thing up. I think at the time he

1:01:00.680 --> 1:01:05.680
<v Speaker 14>saw it as a philanthropic donation. And over the years

1:01:05.800 --> 1:01:09.280
<v Speaker 14>it's become clear that Open AI, whatever it's philanthropic mission,

1:01:09.280 --> 1:01:11.000
<v Speaker 14>you know, which has to do with, you know, keeping

1:01:11.000 --> 1:01:13.720
<v Speaker 14>the world safe from AI apocalypse, is going to be

1:01:13.800 --> 1:01:17.360
<v Speaker 14>a potential threat to some of Elon Musk's companies. Tesla,

1:01:17.440 --> 1:01:21.480
<v Speaker 14>of course, is embarking on this pivot to AI. Musk

1:01:21.520 --> 1:01:25.280
<v Speaker 14>has also launched this competing AI chatbot through Xai, which

1:01:25.320 --> 1:01:28.560
<v Speaker 14>is kind of vaguely related to his two x which

1:01:28.640 --> 1:01:31.400
<v Speaker 14>you know, formerly known as Twitter. So they've basically gone

1:01:31.440 --> 1:01:34.680
<v Speaker 14>from being partners yet to being frenemies.

1:01:34.680 --> 1:01:37.280
<v Speaker 4>Maybe maybe he's just cranky because we're going to start,

1:01:37.360 --> 1:01:39.960
<v Speaker 4>you know, not talking about tweets anymore, but talking about skeets.

1:01:39.960 --> 1:01:41.800
<v Speaker 4>And this gets to another few that you guys write

1:01:41.800 --> 1:01:43.200
<v Speaker 4>about that you include in your list.

1:01:44.040 --> 1:01:45.280
<v Speaker 1>You know, this is interesting.

1:01:45.280 --> 1:01:48.760
<v Speaker 14>Blue Sky, which is one of the competitors to Twitter.

1:01:48.800 --> 1:01:51.760
<v Speaker 14>Over the last couple of years, we've seen a bunch

1:01:51.800 --> 1:01:54.320
<v Speaker 14>of these come and go. Remember there's a Facebook the

1:01:54.320 --> 1:01:58.200
<v Speaker 14>Facebook version Threads, there was something called Mastodon. They're also

1:01:58.240 --> 1:02:03.000
<v Speaker 14>the conservative or alternatives Parlor, and of course the president

1:02:03.000 --> 1:02:06.240
<v Speaker 14>of lex own company Truth Social. Blue Sky is really

1:02:06.280 --> 1:02:09.960
<v Speaker 14>the first one to take off in a big way.

1:02:10.000 --> 1:02:13.200
<v Speaker 14>That feels organic. Threads had a lot of users, but

1:02:13.280 --> 1:02:16.919
<v Speaker 14>they were all kind of coming from Instagram essentially, users

1:02:16.960 --> 1:02:19.920
<v Speaker 14>reasons sort of put there, whether they liked it or not.

1:02:20.280 --> 1:02:22.560
<v Speaker 14>What we've seen with Blue Sky over the past few

1:02:22.600 --> 1:02:26.280
<v Speaker 14>months as the service has gotten sort of more fully

1:02:26.320 --> 1:02:30.040
<v Speaker 14>featured and as users perhaps they're because they're turned off

1:02:30.720 --> 1:02:34.840
<v Speaker 14>by the owner of ex Elon Musk support of president

1:02:34.920 --> 1:02:38.960
<v Speaker 14>like Donald Trump, or perhaps it's just because under Elon Musk,

1:02:39.200 --> 1:02:43.400
<v Speaker 14>X has changed. We're seeing huge explosions of growth, especially

1:02:43.400 --> 1:02:46.640
<v Speaker 14>in some of those cohorts of user that had really

1:02:46.760 --> 1:02:50.440
<v Speaker 14>made Twitter now X vibrant. So talking about sort of

1:02:50.680 --> 1:02:55.480
<v Speaker 14>media figures, celebrities, even some politicians, even some sports.

1:02:55.120 --> 1:02:58.280
<v Speaker 3>Folks, it's it's really it feels real.

1:02:58.320 --> 1:03:01.000
<v Speaker 14>I mean, it's much smaller than the other social networks

1:03:01.000 --> 1:03:02.800
<v Speaker 14>at the moment, but it does feel like, you know,

1:03:02.920 --> 1:03:05.760
<v Speaker 14>it is a potential thread. And of course on Twitter

1:03:05.800 --> 1:03:07.840
<v Speaker 14>you've got tweets. Even though it's called X, we still

1:03:07.840 --> 1:03:10.120
<v Speaker 14>call them tweets for some reason, and on Blue Sky

1:03:10.240 --> 1:03:11.360
<v Speaker 14>they are called whether you like.

1:03:11.320 --> 1:03:12.280
<v Speaker 3>It or not skeets.

1:03:12.520 --> 1:03:15.440
<v Speaker 4>I want to do kind of a Twitter or X

1:03:16.640 --> 1:03:20.760
<v Speaker 4>poll because just in our informal control room, I'm getting

1:03:20.800 --> 1:03:23.720
<v Speaker 4>all these things in our ib chat skeets. Skeets really

1:03:23.800 --> 1:03:26.080
<v Speaker 4>kind of sounds a little whiskey.

1:03:27.120 --> 1:03:29.960
<v Speaker 14>I don't make the I don't make terms. I just

1:03:30.320 --> 1:03:31.400
<v Speaker 14>I just report on them.

1:03:31.520 --> 1:03:33.240
<v Speaker 13>But so does X. I mean I have to say,

1:03:33.280 --> 1:03:36.800
<v Speaker 13>I still type in Twitter dot com, I do it

1:03:36.800 --> 1:03:39.480
<v Speaker 13>into my browser and then it like populates to X.

1:03:39.520 --> 1:03:41.200
<v Speaker 13>But I'm not typing in X dot com.

1:03:41.960 --> 1:03:44.320
<v Speaker 4>But I'm slowly using X more than I'm using Twitter,

1:03:44.520 --> 1:03:46.080
<v Speaker 4>Like I find myself Scott.

1:03:45.920 --> 1:03:46.480
<v Speaker 10>More than Twitter.

1:03:46.560 --> 1:03:49.160
<v Speaker 4>No, I mean saying xy yes, No, but I feel

1:03:49.160 --> 1:03:51.040
<v Speaker 4>like I'm getting solicited a lot about Blue Scott.

1:03:51.160 --> 1:03:54.600
<v Speaker 14>Even even Elon Musk sometimes still calls it Twitter. We've

1:03:54.680 --> 1:03:57.720
<v Speaker 14>joked on the Eline podcast that we should call tweets

1:03:57.800 --> 1:03:59.880
<v Speaker 14>exes instead of tweets, but it has.

1:04:00.120 --> 1:04:01.320
<v Speaker 12>Yet to take off.

1:04:01.760 --> 1:04:05.320
<v Speaker 13>Okay, So, staying with kind of the tech realm, you

1:04:05.360 --> 1:04:09.600
<v Speaker 13>also write about a fight against the DOJ and its

1:04:09.640 --> 1:04:14.160
<v Speaker 13>anti trust head or new head, Gail Slater, versus Google

1:04:14.320 --> 1:04:15.240
<v Speaker 13>and Google Chrome.

1:04:16.160 --> 1:04:19.080
<v Speaker 14>Yeah, so this is in certain ways a continuation of

1:04:19.120 --> 1:04:21.800
<v Speaker 14>a feud that was kind of heating up during the

1:04:21.800 --> 1:04:26.680
<v Speaker 14>Biden administration. You've You've had the Department of Justice, you know,

1:04:26.760 --> 1:04:29.480
<v Speaker 14>take on a bunch of big tech companies, including Google

1:04:29.720 --> 1:04:33.400
<v Speaker 14>and Apple, uh trying right now or asking a court

1:04:33.520 --> 1:04:36.640
<v Speaker 14>to potentially even break up Google. When when he announced

1:04:36.680 --> 1:04:40.680
<v Speaker 14>his new head of the Department of Justices Anti Trust division,

1:04:40.760 --> 1:04:45.040
<v Speaker 14>Gail Slater, Trump you know took adopted a pretty uh,

1:04:45.080 --> 1:04:48.560
<v Speaker 14>standoffish tone, talked about sort of big tech having run wild,

1:04:48.920 --> 1:04:51.680
<v Speaker 14>you know, basically leaving little doubt that this is not

1:04:51.760 --> 1:04:54.520
<v Speaker 14>going to go away. The DOJ and the DOJ's Anti

1:04:54.520 --> 1:04:59.320
<v Speaker 14>Trust Division under the sort of Trump leadership is probably

1:04:59.440 --> 1:05:03.080
<v Speaker 14>not going to just completely back off these tech companies. Now,

1:05:03.120 --> 1:05:05.720
<v Speaker 14>we'll see what happens with the FTC. Trumps has nominated

1:05:05.760 --> 1:05:09.640
<v Speaker 14>someone there and they're two. There is a suggestion that

1:05:09.720 --> 1:05:13.720
<v Speaker 14>at least in tech, the Trump administration doesn't want to

1:05:13.800 --> 1:05:16.280
<v Speaker 14>sort of go easy, doesn't want to adopt a pose

1:05:16.320 --> 1:05:19.880
<v Speaker 14>that's like completely friendly to industry. So this fight we've

1:05:19.880 --> 1:05:22.280
<v Speaker 14>seen we're in for years, looks looks safe to continue.

1:05:22.360 --> 1:05:24.800
<v Speaker 4>I feel like we're covering the really important ones, and

1:05:24.800 --> 1:05:27.479
<v Speaker 4>that has to do with dog Man and Paddington Bear,

1:05:27.560 --> 1:05:30.240
<v Speaker 4>and also Kendrick Lamar and Drake.

1:05:30.920 --> 1:05:31.120
<v Speaker 12>Yeah.

1:05:31.200 --> 1:05:34.200
<v Speaker 14>I mean, I think the dog Man Paddington dispute is

1:05:34.200 --> 1:05:36.080
<v Speaker 14>the one that all everyone on Wall Street will be

1:05:36.080 --> 1:05:38.440
<v Speaker 14>watching come January and February.

1:05:38.440 --> 1:05:41.160
<v Speaker 4>Get the live blog ready, Get the live blog ready.

1:05:41.360 --> 1:05:42.520
<v Speaker 10>When the movies come out.

1:05:42.560 --> 1:05:45.440
<v Speaker 14>I mean, you know again, these are two children's movies,

1:05:45.680 --> 1:05:48.200
<v Speaker 14>you know, one a continuation of the Paddington franchise. One

1:05:48.240 --> 1:05:52.920
<v Speaker 14>the beginning the first dog Man film, and you couldn't

1:05:52.960 --> 1:05:57.360
<v Speaker 14>have two more different superheroes. One is very well spoken

1:05:57.400 --> 1:06:00.800
<v Speaker 14>and well dressed. The other is nonverbal and have a toilet.

1:06:00.880 --> 1:06:03.280
<v Speaker 14>So my children are excited about it. And of course

1:06:03.560 --> 1:06:05.640
<v Speaker 14>you know there is a potential business story here. Both

1:06:05.680 --> 1:06:09.120
<v Speaker 14>of these could be pretty big movies. And so not

1:06:09.480 --> 1:06:11.800
<v Speaker 14>a direct feud, but a feud for mind.

1:06:11.560 --> 1:06:15.120
<v Speaker 13>Share, okay, and then kenchall Lamar and Drake. I thought

1:06:15.120 --> 1:06:19.200
<v Speaker 13>that feud was a twenty twenty four what's happening next year?

1:06:20.040 --> 1:06:22.920
<v Speaker 14>So the feud in twenty twenty four was sort of

1:06:22.960 --> 1:06:26.200
<v Speaker 14>playing out on Spotify and on YouTube, and it was

1:06:26.280 --> 1:06:28.600
<v Speaker 14>kind of an artistic feud, a rap battle or a

1:06:28.600 --> 1:06:29.680
<v Speaker 14>series of rap battles.

1:06:30.160 --> 1:06:31.360
<v Speaker 10>What we have now is a.

1:06:31.320 --> 1:06:34.680
<v Speaker 14>Potential for a courtroom feud, which is maybe not as

1:06:34.680 --> 1:06:39.000
<v Speaker 14>fun as the as a rap version, but Drake filing

1:06:39.280 --> 1:06:43.360
<v Speaker 14>in a court basically announcing his intention to go after

1:06:43.440 --> 1:06:47.480
<v Speaker 14>both Spotify and UMG, the record label. And the idea

1:06:47.600 --> 1:06:53.440
<v Speaker 14>here is that UMG was improperly promoting Hendrick's side of

1:06:53.480 --> 1:06:58.800
<v Speaker 14>the feud. It's a potential racketeering thing. I don't know

1:06:58.840 --> 1:07:02.280
<v Speaker 14>how realistic this is from a legal perspective and how

1:07:02.480 --> 1:07:04.520
<v Speaker 14>how likely courts are are going to be to go

1:07:04.560 --> 1:07:07.880
<v Speaker 14>along with this, but just to say that this dispute

1:07:08.480 --> 1:07:09.800
<v Speaker 14>is not going anywhere, all right.

1:07:09.840 --> 1:07:11.520
<v Speaker 4>It is the FED meeting this week, we get our

1:07:11.560 --> 1:07:13.919
<v Speaker 4>last FED decision of twenty twenty four, so we kind

1:07:13.920 --> 1:07:17.520
<v Speaker 4>of saved the very timely few that could happen in

1:07:17.520 --> 1:07:19.360
<v Speaker 4>twenty twenty five. And that of course is between the

1:07:19.360 --> 1:07:24.200
<v Speaker 4>President elect and j Powell. Fed share that's on your list.

1:07:24.760 --> 1:07:28.520
<v Speaker 14>Yeah, just kind of a long simmering feud that we

1:07:28.560 --> 1:07:30.840
<v Speaker 14>saw play out during the last Trump presidency. You know,

1:07:30.880 --> 1:07:34.720
<v Speaker 14>Trump campaigned on having really low interest rates. You wouldn't

1:07:34.720 --> 1:07:36.360
<v Speaker 14>believe how low these interest rates are going to be.

1:07:36.640 --> 1:07:40.760
<v Speaker 14>And Powell meanwhile has basically been signaling that whatever interest

1:07:40.840 --> 1:07:42.760
<v Speaker 14>rate cuts are going to happen, you know, the FED

1:07:42.800 --> 1:07:45.600
<v Speaker 14>still thinks there's inflation, you know, and it seems almost

1:07:45.640 --> 1:07:50.040
<v Speaker 14>inevitable that there's going to be at least continued tension

1:07:50.440 --> 1:07:52.240
<v Speaker 14>if not something hotter.

1:07:52.440 --> 1:07:54.080
<v Speaker 4>Can I just ask you, did you leave a lot

1:07:54.080 --> 1:07:56.760
<v Speaker 4>on the cutting table? Like were there feuds where people like.

1:07:56.680 --> 1:07:58.920
<v Speaker 14>You're watching many other feuds And I'll just throw a

1:07:58.920 --> 1:08:03.200
<v Speaker 14>few others out. You've got Zin the tobacco pouch versus

1:08:03.200 --> 1:08:05.560
<v Speaker 14>ALP Tucker Carlson's anti wol pouches.

1:08:05.720 --> 1:08:06.439
<v Speaker 6>You've got of.

1:08:06.360 --> 1:08:11.880
<v Speaker 14>Course, sports betting against sports washing, watching crocs against Birkenstocks,

1:08:12.720 --> 1:08:16.080
<v Speaker 14>Love Is Blind cast members against Love's blond producers. I

1:08:16.080 --> 1:08:18.800
<v Speaker 14>could keep going, but as I said, it's going to

1:08:18.880 --> 1:08:21.840
<v Speaker 14>be a feud filled twenty five.

1:08:22.560 --> 1:08:25.400
<v Speaker 4>Hey listen before you go. Yeah, I can feel it

1:08:25.439 --> 1:08:28.599
<v Speaker 4>already in the air. Having said that, before we go,

1:08:29.040 --> 1:08:32.639
<v Speaker 4>The current Elon Inc. Podcast is out, and we mentioned

1:08:32.640 --> 1:08:35.880
<v Speaker 4>it in the introduction. Mister Musco's to Washington and to

1:08:35.960 --> 1:08:38.280
<v Speaker 4>Paris and to mar A Lago. It's so funny. Was

1:08:38.280 --> 1:08:39.920
<v Speaker 4>it a football game over the weekend and there was

1:08:39.960 --> 1:08:45.000
<v Speaker 4>a picture of Elon and his pick for Defense Secretary

1:08:45.040 --> 1:08:46.599
<v Speaker 4>and then there was I think Elon and it almost

1:08:46.600 --> 1:08:48.320
<v Speaker 4>looked like his head was pasted in. It almost didn't

1:08:48.320 --> 1:08:49.840
<v Speaker 4>look real, But I believe he was there.

1:08:50.840 --> 1:08:52.080
<v Speaker 3>Yeah, Yeah, he was there.

1:08:52.120 --> 1:08:55.200
<v Speaker 14>And he has been basically going most of the places

1:08:55.200 --> 1:08:55.960
<v Speaker 14>that Trump goes.

1:08:56.000 --> 1:08:58.320
<v Speaker 10>And you know, for a month or two we've.

1:08:58.200 --> 1:09:01.280
<v Speaker 14>Been sort of speculating on and you know, Kenny's two

1:09:01.280 --> 1:09:04.760
<v Speaker 14>guys with these huge egos, Uh, you hang out with

1:09:04.800 --> 1:09:06.920
<v Speaker 14>each other, can they stand being not the not the

1:09:06.920 --> 1:09:09.439
<v Speaker 14>biggest fish in the room? And and it seems like

1:09:09.479 --> 1:09:12.320
<v Speaker 14>the answer is yes. You know, Elon Musk so far

1:09:12.400 --> 1:09:15.760
<v Speaker 14>anyway has has been able to hang with Trump and

1:09:16.000 --> 1:09:20.280
<v Speaker 14>and play second fiddle, and Trump has been able, uh

1:09:20.320 --> 1:09:22.400
<v Speaker 14>to put up with you know what amounts to a

1:09:22.520 --> 1:09:25.160
<v Speaker 14>like a new house guest or a new a new

1:09:25.160 --> 1:09:28.080
<v Speaker 14>guest who's just sort of always hanging around and who's

1:09:28.120 --> 1:09:32.360
<v Speaker 14>offering support, cheerleading and I suppose uh some policy ideas.

1:09:32.520 --> 1:09:35.400
<v Speaker 4>All right, interesting stuff, great lit list, made for a

1:09:35.400 --> 1:09:38.640
<v Speaker 4>fun read and a fun discussion. Max, so appreciate it.

1:09:38.680 --> 1:09:41.560
<v Speaker 4>Max Chafkin, columnist at Bloomberg Business, Beeak co host and

1:09:41.600 --> 1:09:42.200
<v Speaker 4>the Elon Inc.

1:09:42.280 --> 1:09:42.719
<v Speaker 10>Podcast.

1:09:42.800 --> 1:09:45.679
<v Speaker 4>Catch it wherever you find your podcast. You can also

1:09:45.680 --> 1:09:49.280
<v Speaker 4>find it uh at Bloomberg dot com, and as we mentioned,

1:09:49.280 --> 1:09:51.280
<v Speaker 4>Max is the author of the contrarian Peter Teel and

1:09:51.320 --> 1:09:53.040
<v Speaker 4>Silicon Valley's Pursuit of Power.

1:09:58.600 --> 1:10:02.080
<v Speaker 2>This is the Bloomberg Bus Business Week podcast. Listen live

1:10:02.200 --> 1:10:05.800
<v Speaker 2>each weekday starting at two pm Eastern on Applecarplay and

1:10:05.680 --> 1:10:08.320
<v Speaker 2>the Android Auto with the Bloomberg Business app. You can

1:10:08.360 --> 1:10:11.519
<v Speaker 2>also listen live on Amazon Alexa from our flagship New

1:10:11.600 --> 1:10:15.200
<v Speaker 2>York station, Just Say Alexa played Bloomberg eleven thirty.

1:10:16.240 --> 1:10:19.160
<v Speaker 4>We wrap up our year ahead look with something that

1:10:19.200 --> 1:10:23.519
<v Speaker 4>garnered a lot of attention last year, Travel and tourism interested.

1:10:23.560 --> 1:10:26.280
<v Speaker 4>Globe trotting is at an all time high, but so

1:10:26.520 --> 1:10:30.160
<v Speaker 4>is over tourism. There have been local protests in Barcelona,

1:10:30.360 --> 1:10:34.000
<v Speaker 4>Venice and Majorca, Spain, while Sicily is facing a tourism

1:10:34.040 --> 1:10:37.360
<v Speaker 4>induced water crisis. It's not only where one can go,

1:10:37.479 --> 1:10:39.479
<v Speaker 4>but really where one should go.

1:10:39.880 --> 1:10:42.080
<v Speaker 5>We'll get into where you should go in just a bit,

1:10:42.160 --> 1:10:45.080
<v Speaker 5>but first, before booking any trip, the first thing worth

1:10:45.120 --> 1:10:47.320
<v Speaker 5>looking at, I think for a lot of people is

1:10:47.360 --> 1:10:49.519
<v Speaker 5>how much is it going to cost? Kayak is one

1:10:49.520 --> 1:10:52.439
<v Speaker 5>company that has all that data at its fingertips. For more,

1:10:52.479 --> 1:10:55.120
<v Speaker 5>we were joined by the CEO of Kayak, Steve Hafner.

1:10:55.439 --> 1:10:59.120
<v Speaker 15>For twenty twenty five. Search interest on Kayak is about

1:10:59.120 --> 1:11:02.639
<v Speaker 15>equal to twenty two twenty four, which is a relieving

1:11:02.680 --> 1:11:04.639
<v Speaker 15>thing for everyone in the history because twenty twenty four

1:11:04.720 --> 1:11:07.120
<v Speaker 15>was a really great year in the travel business, and

1:11:07.160 --> 1:11:09.320
<v Speaker 15>going into the back half of this year, a lot

1:11:09.320 --> 1:11:11.519
<v Speaker 15>of people were nervous about what twenty twenty five would

1:11:11.520 --> 1:11:11.880
<v Speaker 15>look like.

1:11:12.360 --> 1:11:13.160
<v Speaker 5>But so far, our.

1:11:13.040 --> 1:11:16.760
<v Speaker 15>Travel demand is held firm. Airfares are down a little bit,

1:11:16.800 --> 1:11:18.800
<v Speaker 15>so price is a little bit down and that's helping

1:11:18.800 --> 1:11:21.880
<v Speaker 15>to prop up demand. But the overall headline is it's

1:11:21.920 --> 1:11:25.120
<v Speaker 15>good news. Two other friends underneath that. The first is

1:11:25.240 --> 1:11:28.160
<v Speaker 15>just business class or premium seats are up nineteen percent

1:11:28.200 --> 1:11:30.439
<v Speaker 15>year every year, which tells you that consumers are willing

1:11:30.479 --> 1:11:32.760
<v Speaker 15>to pay up. And then in terms of where people

1:11:32.760 --> 1:11:35.439
<v Speaker 15>are going, Asia is on sale and it's on fire.

1:11:36.000 --> 1:11:38.360
<v Speaker 15>You know, three of the top ten destinations on Kayak

1:11:38.439 --> 1:11:39.519
<v Speaker 15>right now are in Asia.

1:11:40.080 --> 1:11:42.800
<v Speaker 4>Where specifically is Japan still pretty hot?

1:11:43.240 --> 1:11:48.160
<v Speaker 5>It's Japan, So Carol, you got it. Japan is on sale.

1:11:48.320 --> 1:11:50.280
<v Speaker 15>So if you look at exchange rates, I'm kind of

1:11:50.320 --> 1:11:52.760
<v Speaker 15>an exchange rate junkie. There's one hundred and fifty four

1:11:52.840 --> 1:11:54.720
<v Speaker 15>y in too the US dollar right now two years

1:11:54.760 --> 1:11:58.080
<v Speaker 15>ago one hundred and five, So basically everything's thirty five

1:11:58.120 --> 1:12:01.559
<v Speaker 15>percent off, including air. So you know, if you look

1:12:01.560 --> 1:12:05.360
<v Speaker 15>at travel and ted Soporo is up thirty one percent

1:12:05.439 --> 1:12:09.120
<v Speaker 15>on Kayak. In terms of query volume, Osaka twelve percent.

1:12:09.960 --> 1:12:12.880
<v Speaker 15>And it's not just the exchange rate, it's social media.

1:12:12.960 --> 1:12:15.759
<v Speaker 15>So if you're on TikTok or Instagram, which I admittedly

1:12:15.800 --> 1:12:19.680
<v Speaker 15>am not, you cannot escape seeing a great video of

1:12:19.720 --> 1:12:22.240
<v Speaker 15>someone enjoying themselves in Japan, and that's driving a lot

1:12:22.240 --> 1:12:23.679
<v Speaker 15>of consumer interest to go there.

1:12:24.000 --> 1:12:27.160
<v Speaker 4>Hey, I am curious how deep you dig steve into

1:12:27.360 --> 1:12:31.439
<v Speaker 4>your demographic data because you mentioned that really strong in

1:12:31.520 --> 1:12:35.479
<v Speaker 4>terms of travel trends, and you say business class tickets,

1:12:35.479 --> 1:12:39.120
<v Speaker 4>premium class tickets that people are paying up for. Is

1:12:39.120 --> 1:12:41.040
<v Speaker 4>it because they're getting a deal or because they're paying

1:12:41.160 --> 1:12:42.639
<v Speaker 4>up for it? So I'm just trying to get an idea,

1:12:42.680 --> 1:12:45.679
<v Speaker 4>is that they're really wealthy that are traveling and it's

1:12:45.720 --> 1:12:46.799
<v Speaker 4>not across the board.

1:12:47.040 --> 1:12:49.320
<v Speaker 15>No, I think people are just splurging more on experiences.

1:12:49.800 --> 1:12:52.479
<v Speaker 15>We do see a little bit of a difference between

1:12:52.600 --> 1:12:55.559
<v Speaker 15>millennials and Gen Z versus older generations in terms of

1:12:55.600 --> 1:12:58.599
<v Speaker 15>how they travel. So millennials and Gen Z they're much

1:12:58.640 --> 1:13:01.640
<v Speaker 15>more likely to have flexibility in their travel planning, and

1:13:01.680 --> 1:13:04.360
<v Speaker 15>they're willing to use tools like Kayak Explore, which less

1:13:04.400 --> 1:13:07.280
<v Speaker 15>you set a budget and find travel dates and save

1:13:07.360 --> 1:13:09.680
<v Speaker 15>money on airfare that way and reinvest that into the

1:13:09.720 --> 1:13:14.879
<v Speaker 15>actual in market experience, whereas older generations like me families,

1:13:14.920 --> 1:13:17.360
<v Speaker 15>we have fixed travel dates. We want to make sure

1:13:17.400 --> 1:13:21.880
<v Speaker 15>that flying experience is perfect, so that means, hey, we

1:13:21.920 --> 1:13:24.000
<v Speaker 15>want to know where we're siding, we want to board first,

1:13:24.320 --> 1:13:27.200
<v Speaker 15>we want extra leg room, we want a good at

1:13:27.240 --> 1:13:31.280
<v Speaker 15>airport experience. You know, that's kind of where that growth

1:13:31.320 --> 1:13:32.879
<v Speaker 15>is coming from on the premium side.

1:13:33.040 --> 1:13:36.599
<v Speaker 13>What about the older generations and it's just how they

1:13:36.760 --> 1:13:41.000
<v Speaker 13>use technology to plan their vacations. What are the biggest

1:13:41.040 --> 1:13:42.559
<v Speaker 13>changes that you're seeing in that, Well.

1:13:42.479 --> 1:13:46.720
<v Speaker 15>I think the older technology, So the older generations buy

1:13:46.760 --> 1:13:49.439
<v Speaker 15>and large if they're affluent, are still using travel agents.

1:13:49.479 --> 1:13:52.120
<v Speaker 15>You know, there's still over twenty thousand travel agents who

1:13:52.560 --> 1:13:55.840
<v Speaker 15>do bespoke travel planning for those people. Everyone else has

1:13:55.880 --> 1:13:59.320
<v Speaker 15>already migrated online, and not just online, but they're starting

1:13:59.360 --> 1:14:02.160
<v Speaker 15>to migrate tour is these AI assistants, which is what

1:14:02.240 --> 1:14:05.160
<v Speaker 15>everyone in the travel industry now is kind of holding

1:14:05.200 --> 1:14:07.880
<v Speaker 15>their breath to see how that changes, because up until

1:14:07.920 --> 1:14:10.000
<v Speaker 15>now you've had to download an app or go to

1:14:10.040 --> 1:14:13.439
<v Speaker 15>a website like kayak and do a search yourself. Now,

1:14:13.800 --> 1:14:17.120
<v Speaker 15>to be able to speak to intelligent AI agent and

1:14:17.200 --> 1:14:21.200
<v Speaker 15>have them do all the work for you, it's pretty awesome, So,

1:14:21.560 --> 1:14:23.200
<v Speaker 15>you know, and I think we're a lot closer to

1:14:23.240 --> 1:14:26.120
<v Speaker 15>that than than you know, a lot of people believe there.

1:14:26.000 --> 1:14:29.360
<v Speaker 4>Was a period I feel like where sustainability and thinking

1:14:29.360 --> 1:14:33.920
<v Speaker 4>about trips and their impact on the environment was appealing

1:14:34.120 --> 1:14:37.200
<v Speaker 4>eco tourism. Are you continue to see people book those

1:14:37.280 --> 1:14:37.960
<v Speaker 4>kinds of trips.

1:14:38.640 --> 1:14:41.080
<v Speaker 15>You know, there's a lot more people who say they're

1:14:41.520 --> 1:14:43.960
<v Speaker 15>impacted by that than what we actually observe on the

1:14:44.080 --> 1:14:46.320
<v Speaker 15>on the website and on the app, you know. So

1:14:46.479 --> 1:14:50.120
<v Speaker 15>we do show people what's an eco friendly flight for example,

1:14:50.240 --> 1:14:53.800
<v Speaker 15>that you know, it's point of a newer airplane, but

1:14:53.920 --> 1:14:55.920
<v Speaker 15>people don't seem to be willing to pay more.

1:14:55.760 --> 1:14:56.519
<v Speaker 5>For those flights.

1:14:56.800 --> 1:15:00.120
<v Speaker 15>So they're still mainly driven by the price point of

1:15:00.120 --> 1:15:03.400
<v Speaker 15>the air airfare or the experience. But I think there

1:15:03.439 --> 1:15:06.599
<v Speaker 15>is a demographic that that's very important to them, pically

1:15:06.640 --> 1:15:10.240
<v Speaker 15>on hotels. So we do have sustainability badges on hotels

1:15:10.240 --> 1:15:12.880
<v Speaker 15>do we think do a good job right limiting their

1:15:12.920 --> 1:15:15.680
<v Speaker 15>footprint and people do seem, you know, where they're going

1:15:15.680 --> 1:15:18.400
<v Speaker 15>to stay, someplace to change their booking behavior to one

1:15:18.439 --> 1:15:19.440
<v Speaker 15>that's more sustainable.

1:15:19.720 --> 1:15:22.519
<v Speaker 4>Hey, Steve, before we go, Emily kind of nailed it.

1:15:22.760 --> 1:15:24.000
<v Speaker 4>You're in a boat, aren't you.

1:15:25.800 --> 1:15:28.439
<v Speaker 5>Well, I'm on my floating office here in Miami yet.

1:15:28.680 --> 1:15:30.920
<v Speaker 4>Okay, we're just having some fun with you. That would

1:15:30.920 --> 1:15:35.720
<v Speaker 4>be my ideal office from a boating and that view. Yeah, exactly, Steve. V. Well,

1:15:35.760 --> 1:15:38.840
<v Speaker 4>Happy New Year and happy holiday. CEO of Kayak, Steve

1:15:38.880 --> 1:15:42.439
<v Speaker 4>Hafner joining us there from Miami. Yeah, I think it's

1:15:42.439 --> 1:15:45.439
<v Speaker 4>interesting you hear and still continue to see a lot

1:15:45.439 --> 1:15:47.280
<v Speaker 4>of people traveling post pandemic.

1:15:47.360 --> 1:15:50.800
<v Speaker 13>That Japan is incredible. I have multiple friends that are

1:15:51.160 --> 1:15:52.920
<v Speaker 13>going or have gone in the last year.

1:15:52.840 --> 1:15:54.639
<v Speaker 4>And you're like, yeah, I know about that exchange rate stuff.

1:15:54.720 --> 1:15:56.280
<v Speaker 12>Yeah, it's just a little bit.

1:15:58.080 --> 1:16:01.840
<v Speaker 2>This is the Bloomberg Business Week Podcast. Listen live each

1:16:01.880 --> 1:16:05.200
<v Speaker 2>weekday starting at two pm Eastern on Applecarplay and the

1:16:05.240 --> 1:16:08.080
<v Speaker 2>Android Auto with the Bloomberg Business app. You can also

1:16:08.240 --> 1:16:11.280
<v Speaker 2>listen live on Amazon Alexa from our flagship New York

1:16:11.280 --> 1:16:14.679
<v Speaker 2>station Just Say Alexa played Bloomberg eleven thirty.

1:16:16.080 --> 1:16:18.559
<v Speaker 4>Okay, so we just learned that Kayaks applied our pursuits

1:16:18.600 --> 1:16:21.040
<v Speaker 4>team some two and a half billion custom polled data

1:16:21.080 --> 1:16:24.000
<v Speaker 4>points to help create an immersive feature to calculate the

1:16:24.000 --> 1:16:26.720
<v Speaker 4>costs for flights and hotels on the twenty five best

1:16:26.720 --> 1:16:29.040
<v Speaker 4>places to check out this year. It's all in the

1:16:29.080 --> 1:16:31.479
<v Speaker 4>Year Ahead issue of Bloomberg BusinessWeek magazine, which you can

1:16:31.560 --> 1:16:34.080
<v Speaker 4>check out on the Bloomberg and at Bloomberg dot com.

1:16:34.120 --> 1:16:37.200
<v Speaker 5>It's a record setting nineteen pages in the magazine with

1:16:37.280 --> 1:16:41.000
<v Speaker 5>a beautiful immersive feature on Algeria. Two new hotspots to

1:16:41.040 --> 1:16:45.080
<v Speaker 5>prioritize in Spain, an unlikely story about a billionaire creating

1:16:45.120 --> 1:16:48.880
<v Speaker 5>a new system for conservation, and some decadent hotels on

1:16:48.960 --> 1:16:52.760
<v Speaker 5>the island of Principe. Ideas for your next great coolcasion

1:16:53.280 --> 1:16:55.799
<v Speaker 5>and the next great museums to travel for cat.

1:16:55.600 --> 1:16:57.840
<v Speaker 4>Me and let's go now, all right. Nikki Eckstein is

1:16:57.880 --> 1:17:00.679
<v Speaker 4>the travels are for Bloomberg Pursuits, and she first breaks

1:17:00.720 --> 1:17:02.719
<v Speaker 4>down the partnership with Kayak.

1:17:02.920 --> 1:17:05.280
<v Speaker 10>This is a multi year effort. I kid you not.

1:17:05.520 --> 1:17:09.320
<v Speaker 16>I've been trying to make this happen for forever, and

1:17:09.439 --> 1:17:12.120
<v Speaker 16>finally this year I convinced Kayak to give us their

1:17:12.160 --> 1:17:15.640
<v Speaker 16>greatest minds in their data science department, who turned no

1:17:15.760 --> 1:17:18.200
<v Speaker 16>fewer than two point five billion data points.

1:17:18.200 --> 1:17:18.879
<v Speaker 10>That's amazing.

1:17:18.960 --> 1:17:21.960
<v Speaker 16>All of them are pricing insights on both hotels and

1:17:22.120 --> 1:17:25.040
<v Speaker 16>flights that allow you to go to our digital interactive,

1:17:25.120 --> 1:17:27.439
<v Speaker 16>choose your nearest airport and figure out what it will

1:17:27.439 --> 1:17:30.080
<v Speaker 16>cost you to visit all twenty five of these places

1:17:30.160 --> 1:17:33.040
<v Speaker 16>every month of the year from your hometown.

1:17:33.240 --> 1:17:35.840
<v Speaker 5>Okay, my flight prices are set for New York City.

1:17:35.840 --> 1:17:39.200
<v Speaker 16>So you should be able to see both accurate month

1:17:39.240 --> 1:17:40.840
<v Speaker 16>by month estimates on what it will take to fly

1:17:40.920 --> 1:17:43.639
<v Speaker 16>to any one of our twenty five destinations, including suggested

1:17:43.720 --> 1:17:46.720
<v Speaker 16>layovers in places where that's required, as well as month

1:17:46.720 --> 1:17:49.960
<v Speaker 16>by month hotel pricing estimates for luxury hotels, because we

1:17:50.000 --> 1:17:50.920
<v Speaker 16>know that's how we roll.

1:17:51.080 --> 1:17:52.439
<v Speaker 4>Oh my god, this is so cool.

1:17:52.520 --> 1:17:53.600
<v Speaker 10>Thank you guys.

1:17:54.160 --> 1:17:55.760
<v Speaker 4>All right, so we can play around with this, we

1:17:55.800 --> 1:17:57.720
<v Speaker 4>can figure out what it's going to cost us. Tell

1:17:57.800 --> 1:17:59.720
<v Speaker 4>us about the list this year. Because you are looking

1:17:59.720 --> 1:18:01.640
<v Speaker 4>at all the time. You usually come up with like

1:18:01.720 --> 1:18:03.640
<v Speaker 4>kind of an annual review right like you do this.

1:18:03.840 --> 1:18:09.080
<v Speaker 16>We are cracking hotel openings, restaurant openings, museum openings, cultural events,

1:18:09.120 --> 1:18:12.200
<v Speaker 16>infrastructure investments, I mean, you name it. We're tracking it

1:18:12.360 --> 1:18:16.160
<v Speaker 16>year round. And whatever is most inspiring, whatever is most significant,

1:18:16.160 --> 1:18:18.720
<v Speaker 16>most game changing, is what rises to the top this

1:18:18.800 --> 1:18:22.160
<v Speaker 16>year's twenty five places, and it's almost every.

1:18:21.960 --> 1:18:24.360
<v Speaker 10>Continent, not Onntarctica.

1:18:24.479 --> 1:18:26.960
<v Speaker 16>But we are really well spread geographically around the world

1:18:26.960 --> 1:18:28.959
<v Speaker 16>with lots of inspiration no matter where you're from.

1:18:28.800 --> 1:18:31.839
<v Speaker 5>Where is a place that you can go on a budget.

1:18:32.000 --> 1:18:35.000
<v Speaker 5>We're talking Bloomberg pursuits here, so we're not always watching.

1:18:34.640 --> 1:18:36.920
<v Speaker 10>The wall at How adventurous are you dad?

1:18:38.040 --> 1:18:38.920
<v Speaker 5>As well?

1:18:38.960 --> 1:18:40.880
<v Speaker 10>I've got two ideas for you, right hear.

1:18:41.040 --> 1:18:44.320
<v Speaker 16>The Colombian Amazon is a place where your money can

1:18:44.400 --> 1:18:45.160
<v Speaker 16>go very.

1:18:45.000 --> 1:18:46.760
<v Speaker 10>Far because there's not a lot out there.

1:18:46.760 --> 1:18:49.759
<v Speaker 16>But there is a small company called Nomad that's starting

1:18:49.760 --> 1:18:53.400
<v Speaker 16>to create these community owned, revenue shared model lodges.

1:18:53.760 --> 1:18:54.959
<v Speaker 10>The first of ten.

1:18:55.000 --> 1:19:00.840
<v Speaker 16>Is just opening now, and it's these beautiful treehouse style bungalows,

1:19:00.960 --> 1:19:04.920
<v Speaker 16>really modern construction, super lux but at the same time

1:19:05.040 --> 1:19:08.040
<v Speaker 16>bare bones and immersed in nature. If all of those

1:19:08.040 --> 1:19:09.880
<v Speaker 16>things can possibly be true at the same time, I

1:19:09.920 --> 1:19:10.800
<v Speaker 16>promise you they are.

1:19:11.200 --> 1:19:13.280
<v Speaker 10>And you go, you know, kayaking.

1:19:12.720 --> 1:19:15.400
<v Speaker 16>Down tributaries of the Amazon to look for pink dolphins

1:19:15.439 --> 1:19:17.200
<v Speaker 16>and you can hang in a hammock to sleep it

1:19:17.200 --> 1:19:19.920
<v Speaker 16>all off when you're too tired, and it just seems

1:19:19.920 --> 1:19:20.360
<v Speaker 16>so dreamy.

1:19:20.439 --> 1:19:22.439
<v Speaker 10>But the prices are very reasonable. It's like less than

1:19:22.479 --> 1:19:23.360
<v Speaker 10>three hundred dollars a night.

1:19:23.479 --> 1:19:26.799
<v Speaker 5>Yeah, I'm looking the best time to go May in June, November,

1:19:26.800 --> 1:19:29.120
<v Speaker 5>and December. December is of course going to be pricey,

1:19:29.120 --> 1:19:31.240
<v Speaker 5>but yeah, three hundred bucks for a hotel per night,

1:19:32.040 --> 1:19:34.559
<v Speaker 5>and the flight price is cheap two three hundred ninety

1:19:34.600 --> 1:19:35.320
<v Speaker 5>dollars to get there.

1:19:35.760 --> 1:19:36.920
<v Speaker 10>I mean, there you have it.

1:19:37.120 --> 1:19:39.479
<v Speaker 16>That's your budget, your budget idea, right then, and there,

1:19:39.520 --> 1:19:40.840
<v Speaker 16>and then if you want to go a little bit

1:19:40.840 --> 1:19:43.960
<v Speaker 16>farther away, may I propose the island of Princypay, which

1:19:44.000 --> 1:19:47.400
<v Speaker 16>we mentioned up top. Where it's people talk about it

1:19:47.520 --> 1:19:49.680
<v Speaker 16>like Africa's Galapagos, okay, but.

1:19:50.040 --> 1:19:52.000
<v Speaker 10>Most people don't even know where it is. Right.

1:19:52.080 --> 1:19:55.880
<v Speaker 16>It's off the western coast of Africa, equatorial so you know,

1:19:55.880 --> 1:19:58.599
<v Speaker 16>a little bit farther north than your average safari, warm weather,

1:19:58.680 --> 1:20:01.440
<v Speaker 16>temperate year round, a lot of marine activity.

1:20:01.120 --> 1:20:04.400
<v Speaker 10>So like tropical fish apparently, fish that.

1:20:04.400 --> 1:20:08.360
<v Speaker 16>Walk on land, what like relics of the dinosaur era.

1:20:08.520 --> 1:20:11.400
<v Speaker 16>It's this place is absolutely wild to the landscapes.

1:20:11.439 --> 1:20:12.280
<v Speaker 10>You would not believe.

1:20:12.560 --> 1:20:16.479
<v Speaker 5>She called Charles Darwin fish that walk on land. January February.

1:20:17.760 --> 1:20:19.480
<v Speaker 4>You know the fish is yeah.

1:20:19.439 --> 1:20:21.599
<v Speaker 10>Sorry, yeah, it's all of those things.

1:20:22.240 --> 1:20:24.240
<v Speaker 5>Very cool. January February. At the Times to go a

1:20:24.360 --> 1:20:27.439
<v Speaker 5>medium price to hotel two hundred and eight dollars average

1:20:27.479 --> 1:20:29.720
<v Speaker 5>flight price. That's the hard part. It's going to be

1:20:29.760 --> 1:20:31.040
<v Speaker 5>pricey eighteen.

1:20:30.800 --> 1:20:33.479
<v Speaker 16>Hundred books depending on where you're coming from. Depending where

1:20:33.479 --> 1:20:35.240
<v Speaker 16>you're coming from, excuse me, that's from New York. Yeah,

1:20:35.240 --> 1:20:37.280
<v Speaker 16>I mean if you're flying from like Madrid or something,

1:20:37.280 --> 1:20:37.720
<v Speaker 16>it's going to be.

1:20:37.680 --> 1:20:38.639
<v Speaker 10>A lot cheaper good points.

1:20:39.160 --> 1:20:40.280
<v Speaker 5>It's in New York Center.

1:20:40.160 --> 1:20:42.000
<v Speaker 4>Love the south of France. You've got something on there.

1:20:42.200 --> 1:20:43.439
<v Speaker 10>Yeah, I don't know.

1:20:43.479 --> 1:20:45.600
<v Speaker 4>Can we go there cheaply? I'm like looking around, I

1:20:45.600 --> 1:20:46.800
<v Speaker 4>guess there are times we can go.

1:20:46.840 --> 1:20:48.120
<v Speaker 16>Well, I'll tell you it's going to be a lot

1:20:48.160 --> 1:20:50.599
<v Speaker 16>more affordable than Sand Trapez. And the place that we're

1:20:50.600 --> 1:20:54.880
<v Speaker 16>talking about is Cap Ferrey and it is a beautiful

1:20:55.040 --> 1:20:59.599
<v Speaker 16>kind of imagine what Montak would have been like decades ago.

1:21:00.200 --> 1:21:03.960
<v Speaker 4>I used to go to Montalk like, so you can

1:21:04.000 --> 1:21:07.000
<v Speaker 4>tell me exactly what I love. I said, it was

1:21:07.040 --> 1:21:09.479
<v Speaker 4>really sleepy and lovely and it was so sweet.

1:21:09.640 --> 1:21:11.559
<v Speaker 16>So that's exactly what you're going to get in this

1:21:11.680 --> 1:21:15.200
<v Speaker 16>In this little we're talking about the Bay of Arachnan.

1:21:15.600 --> 1:21:17.720
<v Speaker 16>I may be pronouncing that completely wrong, and I'm so

1:21:17.720 --> 1:21:19.479
<v Speaker 16>sorry to the French people who are listening, if so,

1:21:20.000 --> 1:21:23.479
<v Speaker 16>but it's a small community on inlet with fishermen huts

1:21:23.479 --> 1:21:26.240
<v Speaker 16>and colorful houses and places where you can eat seafood

1:21:26.280 --> 1:21:29.520
<v Speaker 16>that's just been plucked out of the sea. Little boutique

1:21:29.560 --> 1:21:32.799
<v Speaker 16>hotels that are terribly spelled you'll see in the package.

1:21:32.840 --> 1:21:34.880
<v Speaker 16>We even call them out for their ridiculous stylings of

1:21:34.960 --> 1:21:36.879
<v Speaker 16>their names I'm not even gonna dare pronounce.

1:21:37.800 --> 1:21:39.680
<v Speaker 10>And a new company called Iconic.

1:21:39.439 --> 1:21:42.519
<v Speaker 16>House that does really really cool villa rentals for way

1:21:42.600 --> 1:21:43.040
<v Speaker 16>less than.

1:21:42.920 --> 1:21:44.799
<v Speaker 10>You would spend in classic rivi or a destination.

1:21:44.960 --> 1:21:46.559
<v Speaker 5>It kind of looked like they were named by Grimes

1:21:46.560 --> 1:21:47.280
<v Speaker 5>and Elon Musk.

1:21:47.640 --> 1:21:50.160
<v Speaker 16>You know, when they name their it's like the parentheses

1:21:50.200 --> 1:21:52.200
<v Speaker 16>and accent marks all over the place, which is why

1:21:52.240 --> 1:21:53.360
<v Speaker 16>I won't try to say.

1:21:53.200 --> 1:21:53.880
<v Speaker 10>What they are called.

1:21:54.040 --> 1:21:56.320
<v Speaker 4>Love Love, Love where else? What's your What was a

1:21:56.360 --> 1:21:58.840
<v Speaker 4>surprise to you as you were putting this list together

1:21:58.840 --> 1:21:59.640
<v Speaker 4>that you think my was.

1:21:59.600 --> 1:22:01.479
<v Speaker 16>A lot of funk a place that might surprise a

1:22:01.520 --> 1:22:04.200
<v Speaker 16>lot of folks. Well, you know, we've got places on

1:22:04.240 --> 1:22:06.479
<v Speaker 16>this list that are kind of humble in my mind,

1:22:06.600 --> 1:22:10.760
<v Speaker 16>like Lexington, Kentucky, which we're calling as kind of the

1:22:10.800 --> 1:22:14.400
<v Speaker 16>next Nashville. And then we have places that just really

1:22:14.439 --> 1:22:17.679
<v Speaker 16>kind of elude the common radar, like the Seychelles, which

1:22:17.680 --> 1:22:20.479
<v Speaker 16>are actually, if you're in the know, a very classic

1:22:20.560 --> 1:22:24.600
<v Speaker 16>luxury destination where hotels command really high for figure prices.

1:22:25.160 --> 1:22:27.120
<v Speaker 16>But there's a spate of new openings there that are

1:22:27.200 --> 1:22:29.559
<v Speaker 16>drying kind of new appeal, new flight access, things like

1:22:29.600 --> 1:22:31.120
<v Speaker 16>that that are really kind of putting that on the

1:22:31.160 --> 1:22:34.679
<v Speaker 16>map for a wider number of travelers than before. Seychelles

1:22:34.760 --> 1:22:36.320
<v Speaker 16>is super high on my list, and if you look

1:22:36.320 --> 1:22:38.479
<v Speaker 16>at the pictures in the digital package you'll know why.

1:22:39.080 --> 1:22:40.320
<v Speaker 10>Yeah, books out of.

1:22:40.280 --> 1:22:43.080
<v Speaker 5>This world, Carol. If you don't want to fly anywhere,

1:22:43.360 --> 1:22:46.160
<v Speaker 5>you can step out of this building. You can turn

1:22:46.320 --> 1:22:48.439
<v Speaker 5>right to walk a few blocks in the north and

1:22:48.520 --> 1:22:50.240
<v Speaker 5>you can go to the upper east side, which yes,

1:22:50.720 --> 1:22:52.000
<v Speaker 5>is on the list.

1:22:52.040 --> 1:22:53.479
<v Speaker 10>Here, Nikki, call me crazy?

1:22:53.600 --> 1:22:53.800
<v Speaker 6>Help?

1:22:53.840 --> 1:22:54.680
<v Speaker 3>Are you crazy?

1:22:54.840 --> 1:22:55.080
<v Speaker 4>Help?

1:22:55.200 --> 1:22:57.160
<v Speaker 10>I know? Well, here's the thing, you guys.

1:22:57.240 --> 1:22:59.840
<v Speaker 16>The Frick Museum is reopening. The hotel scene is getting

1:22:59.880 --> 1:23:02.320
<v Speaker 16>a major glow up. The Surrey has just been brought

1:23:02.360 --> 1:23:05.080
<v Speaker 16>back to life by Corinthia, which is top, top notch

1:23:05.400 --> 1:23:08.360
<v Speaker 16>with an import from Miami called Casatua. It's a restaurant

1:23:08.360 --> 1:23:09.959
<v Speaker 16>that is like the hottest place.

1:23:09.760 --> 1:23:12.479
<v Speaker 10>On earth right now. So dare to correct me, but

1:23:12.520 --> 1:23:13.559
<v Speaker 10>I'm pretty sure it's right.

1:23:13.600 --> 1:23:17.480
<v Speaker 4>And the era the flights are really cheap.

1:23:18.720 --> 1:23:19.640
<v Speaker 10>Zero Dodgar.

1:23:21.160 --> 1:23:24.439
<v Speaker 16>There for one hundred bucks, right, But don't dare at

1:23:24.439 --> 1:23:27.439
<v Speaker 16>the price of dinner right there is that.

1:23:27.640 --> 1:23:29.320
<v Speaker 4>No hotels are not cheap.

1:23:29.560 --> 1:23:31.640
<v Speaker 10>No, not around here. But I promise you'll have a

1:23:31.680 --> 1:23:32.400
<v Speaker 10>great night out.

1:23:32.520 --> 1:23:34.160
<v Speaker 4>Where do you want to go in twenty twenty five

1:23:34.200 --> 1:23:35.000
<v Speaker 4>real quickly.

1:23:34.920 --> 1:23:37.519
<v Speaker 16>Ooh, you know what, strange but true. I really want

1:23:37.520 --> 1:23:40.160
<v Speaker 16>to go to Rotterdam. New museums that are opening there

1:23:40.320 --> 1:23:42.840
<v Speaker 16>looks just like Amsterdam, but way under the radar.

1:23:43.040 --> 1:23:44.360
<v Speaker 10>It looks fabulous.

1:23:44.720 --> 1:23:48.439
<v Speaker 4>You are fabulous. Nicki Xtein Travels are here at Bloomberg Pursuits.

1:23:48.439 --> 1:23:50.360
<v Speaker 4>I highly recommend you head to Bloomberg dot com and

1:23:50.439 --> 1:23:52.040
<v Speaker 4>check this out. Nikki, thank you so much.

1:23:52.280 --> 1:23:53.520
<v Speaker 10>This is Bloomberg.

1:23:55.320 --> 1:23:59.960
<v Speaker 2>This is the Bloomberg Business Week podcast, available on Apple, Spotify,

1:24:00.280 --> 1:24:04.000
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1:24:04.040 --> 1:24:08.040
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1:24:08.080 --> 1:24:12.000
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1:24:12.240 --> 1:24:15.040
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1:24:15.200 --> 1:24:17.360
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