WEBVTT - Bloomberg Businessweek Weekend - October 31st, 2025

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

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

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

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

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

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

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<v Speaker 3>Hi everyone, welcome to the Bloomberg Business Wee Weekend Podcast. Yes,

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<v Speaker 3>it was a big, big week with the FED cutting

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<v Speaker 3>rates as expected, but surprising markets as Fedhair J. Powell

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<v Speaker 3>said another cut in December not a given. Also, earnings

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<v Speaker 3>from five of the mags seven Alphabet, Amazon, Apple, Meta

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<v Speaker 3>and Microsoft.

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<v Speaker 4>It was a lot, Tim, it was a lot. And

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<v Speaker 4>so this hour what you need to know from the

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<v Speaker 4>earnings of those megacap tech companies and on the massive

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<v Speaker 4>AI build out and spend because that came Beryl is

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<v Speaker 4>what moved to some of these stocks.

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<v Speaker 3>Totally, totally. That was the big headlines. Also, we always

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<v Speaker 3>love to get a read on how consumers are feeling

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<v Speaker 3>and spending their money. We got a view from the

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<v Speaker 3>chief financial officer at Wayfair, Kate Gulliver. She gave us

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<v Speaker 3>a post check on a certain segment of the consumer.

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<v Speaker 3>Are we talking about women who buy pillows?

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<v Speaker 4>Well, more than just that, I mean people have the

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<v Speaker 4>money to spend. Maybe some people who are actually moving

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<v Speaker 4>right now, that's true, you know, trading in for bigger

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<v Speaker 4>and better stuff, growing families. I don't know.

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<v Speaker 3>And women who buy pillows.

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<v Speaker 4>Okay, well you're speaking for yourself. You mentioned the pillows.

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<v Speaker 4>It comes up. That's just a little tease for our

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<v Speaker 4>chat with Kate. It actually does look like the US

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<v Speaker 4>has a sovereign wealth fund. Now we're going to explain

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<v Speaker 4>a little later.

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<v Speaker 3>Have you checked who is the third biggest shareholder in

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<v Speaker 3>Intel lately?

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<v Speaker 4>It's interesting, Carol, because we also have a lot of debt. Yeah,

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<v Speaker 4>and typically countries that don't have a lot of debt

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<v Speaker 4>don't have a sovereign wealth fund.

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<v Speaker 3>So many questions. We're going to try and answer some

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<v Speaker 3>of them and what's going on. Plus in our second hour,

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<v Speaker 3>over fifty five thousand runners will be participating in the

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<v Speaker 3>New York City Marathon this weekend, including can I.

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<v Speaker 4>Say, yeah, you can say it. You're not going to

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<v Speaker 4>find her someone you know, someone I know? Really well,

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<v Speaker 4>I'm not saying her name. She would not be happy

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<v Speaker 4>about that. But our wife is running.

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<v Speaker 3>That's why I don't say her name either.

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<v Speaker 4>She is running the New York City Marathon.

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<v Speaker 3>All right, Well, we're going to be talking with the

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<v Speaker 3>CEO of the New York road Runners Club, so looking

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<v Speaker 3>forward to that. First up, though, we start with this

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<v Speaker 3>past week's earnings from the companies whose stocks influence US

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<v Speaker 3>market moves more than any others. And as we said,

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<v Speaker 3>it was a huge week for big tech earnings, Microsoft,

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<v Speaker 3>Alphabet and Meta and many more. Couple more in fact,

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<v Speaker 3>all showing that the AI spend is on. With a

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<v Speaker 3>look at some of the MAGS seven reporting this week,

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<v Speaker 3>we talked with Mark Mahaney. He's senior managing director and

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<v Speaker 3>head of Internet Research at Evercore ISI. He's also author

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<v Speaker 3>of Nothing but Net ten Timeless stock picking lessons from

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<v Speaker 3>one of Wall Street's top tech analysts.

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<v Speaker 4>Mark, I think we want to begin with Meta Platforms.

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<v Speaker 4>Is the stock down as a result of what it's

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<v Speaker 4>said about KAPEC next year?

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<v Speaker 5>Yeah, that's the cappex and the total expense guidance that

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<v Speaker 5>they for next year was more aggressive than the market

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<v Speaker 5>wanted this company. Zuckerberg was very clear about it. He

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<v Speaker 5>wants to be the AI leader. He's going all in

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<v Speaker 5>on superintelligence, and investors are a little cautious and nervous

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<v Speaker 5>about that.

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<v Speaker 4>Why aren't they buying it?

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<v Speaker 6>Well maybe for two or three reasons.

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<v Speaker 5>Tim, You know you're here asking asking a really good question,

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<v Speaker 5>which is why aren't they buying it? Well, maybe we

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<v Speaker 5>don't really know what it is, so you know, all

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<v Speaker 5>of us are sort of scratching our heads because I

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<v Speaker 5>guess we're not super intelligent. I'm not trying to figure

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<v Speaker 5>out exactly what's what's going to come out of that,

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<v Speaker 5>Like what's what's the product going to be, what's the

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<v Speaker 5>offering going to be, and how you're going to monetize it.

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<v Speaker 5>That's one reason we just really don't know what super

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<v Speaker 5>intelligence is quite yet. Second is it's very competitive. So

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<v Speaker 5>Google's chasing it, open Aye is chasing it, and Metta isn't.

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<v Speaker 5>There probably other companies too. I should assume Apple and

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<v Speaker 5>Microsoft are too. And I think the market's just a

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<v Speaker 5>little skeptical. It is skeptical that that Meta is going

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<v Speaker 5>to be able to do this sufficiently effectively generate a

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<v Speaker 5>good financial return. So that's why it's really those two

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<v Speaker 5>reasons we don't know what that end market is, and

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<v Speaker 5>we don't we don't. The market maybe is a little

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<v Speaker 5>nervous about metas odds against that against that unknown end market.

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<v Speaker 3>You know what's interesting too, and I've been thinking about

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<v Speaker 3>this mark is and by the way, we're creating a

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<v Speaker 3>super intelligence club right here at Bloomberg. So we would

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<v Speaker 3>love for you to join in the next club meeting. Hey,

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<v Speaker 3>you know, is part of it that, you know, the

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<v Speaker 3>spend for Meta. It's not like they're one of the hypers,

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<v Speaker 3>you know, they're not Microsoft or alphabet who can kind

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<v Speaker 3>of offload some of the spending on other companies. Is

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<v Speaker 3>that part of it?

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<v Speaker 6>Yeah, I think that's right.

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<v Speaker 5>I think I think you're right in saying that that

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<v Speaker 5>Amazon sells super intelligence or can sell AI services to

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<v Speaker 5>other companies. Microsoft does through Azure, they have cloud services,

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<v Speaker 5>and so does Google.

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<v Speaker 6>And there's not kind of.

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<v Speaker 5>That obvious external you know, commercial enterprise offering. Meta doesn't

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<v Speaker 5>have that, So the return is going to have to

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<v Speaker 5>be on Meta itself. And so that maybe at the

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<v Speaker 5>some level that maybe that's the third reason why the

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<v Speaker 5>market's a little skeptical, and.

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<v Speaker 3>So skepticism smart as we should be in any environment,

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<v Speaker 3>especially when there's a big spend out there, you still

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<v Speaker 3>have an outperform on Meta. So time give it a

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<v Speaker 3>little time, right to kind of watch and see how

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<v Speaker 3>this plays out.

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<v Speaker 5>Yeah, I'm going to take up the opposite side of this.

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<v Speaker 5>So this is what I've learned following Meta for a

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<v Speaker 5>long time. But just in the last couple of years,

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<v Speaker 5>this company aggressively invested in AI and they used it

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<v Speaker 5>to dramatically improve their core products Instagram, WhatsApp, Facebook, And

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<v Speaker 5>what's the evidence, Well, consumer engagement has increased materially over

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<v Speaker 5>the last couple of years, and advertiser returns have increased

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<v Speaker 5>materially over the last couple of years.

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<v Speaker 6>What's the evidence of that?

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<v Speaker 5>Meta has probably got the strongest advertising revenue growth, you know,

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<v Speaker 5>twenty five twenty six percent at scale at two hundred billion,

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<v Speaker 5>you know, revenue run rate. That's better growth than anybody

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<v Speaker 5>else has in the direct competitor has in the sector.

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<v Speaker 5>Maybe I'll be surprised by one name in there, but

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<v Speaker 5>I doubt it. So to me, I step back and

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<v Speaker 5>I think, well, they've actually shown a great ability to

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<v Speaker 5>deploy AI to improve their core products. I'm going to

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<v Speaker 5>give the benefit of the doubt that they could probably

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<v Speaker 5>deploy AI to create new products. And you know, they

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<v Speaker 5>just start off with so much I call them the

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<v Speaker 5>three c's, compute, capital, and cranium, that you know that

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<v Speaker 5>there's probably going to be more than just one winner

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<v Speaker 5>in superintelligence, and I think metas a decent shots of

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<v Speaker 5>winning it. And by the way, I don't have to bet.

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<v Speaker 5>I don't have to spend too much on this. The

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<v Speaker 5>stock trades it close to a market multiple. And this

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<v Speaker 5>is so different Carol Vins. Three years ago when Metacore

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<v Speaker 5>business was under attack existential risk coming from TikTok, and

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<v Speaker 5>they were throwing money at this thing called the metaverse.

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<v Speaker 5>This is three years later and there's no existential risk

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<v Speaker 5>to Core Meta And in the meantime, they're throwing money

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<v Speaker 5>into something or investing aggressively into something that some of

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<v Speaker 5>the sharpest other technology companies are. There's probably there there

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<v Speaker 5>If Amazon, if Google, if open Ai, Microsoft and Meta

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<v Speaker 5>are all betting on or investing in superintelligence.

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<v Speaker 3>I do think think about Metal Lot. You know, when

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<v Speaker 3>they came out of their IPO and reception not necessarily

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<v Speaker 3>so good, and the pivot in terms of was it mobile,

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<v Speaker 3>that they needed to think about more and then the

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<v Speaker 3>met and then you know, they moved quickly and then

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<v Speaker 3>metaverse all in and then maybe that wasn't right, and

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<v Speaker 3>they pivoted again, like there is something to be said

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<v Speaker 3>that this company does. Look, you know, tim kind of

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<v Speaker 3>what's going on and then making the necessary adjustment quickly.

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<v Speaker 4>Well on that, Mark Mahaney, the idea of the cranium

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<v Speaker 4>part of this, and maybe this is not what you're

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<v Speaker 4>referring to when you said cranium, but we got to

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<v Speaker 4>talk about face computers, this idea of the ray band,

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<v Speaker 4>metagen two glasses, the success, the runaway success. I was

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<v Speaker 4>surprised to see how successful, or I've been surprised to

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<v Speaker 4>see how successful Meta has been when it comes to wearables.

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<v Speaker 4>Ro and Mark German loves these things when he tried

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<v Speaker 4>them a few months ago. And the user interface is

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<v Speaker 4>the next You've covered a lot of cycles. Is the

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<v Speaker 4>next platform for computing wearable glasses?

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<v Speaker 6>I don't know. I guess I'm skeptical that it is.

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<v Speaker 6>It's possible.

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<v Speaker 5>I don't know why I doubt there's one solution out there.

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<v Speaker 5>I think wearable glasses can be one solution. It's probably

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<v Speaker 5>more than a niche, but I don't know that it's

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<v Speaker 5>mass market, so I don't know what the something in

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<v Speaker 5>the middle there. I guess I'm a little skeptical, but

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<v Speaker 5>you know, they've certainly this is a heck of a

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<v Speaker 5>lot of this product is a heck of a lot

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<v Speaker 5>better than what I wasted money on with Google Glasses

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<v Speaker 5>years ago.

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<v Speaker 6>But all the stuff feeds on and builds on itself.

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<v Speaker 4>Well, I'm just having trouble then understanding where superintelligence comes

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<v Speaker 4>into this. And like you said, we haven't seen this before.

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<v Speaker 4>But if that's what the big bet is and that's

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<v Speaker 4>what all these companies are working on, how does that

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<v Speaker 4>manifest in a product? Is it that Instagram just becomes

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<v Speaker 4>that much better at knowing us and that our targeted

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<v Speaker 4>advertising is that much better? Is that it?

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<v Speaker 6>I hope they's do it in that.

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<v Speaker 5>I think the vision that's been that Zuckerberger's talked about

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<v Speaker 5>just as much as anybody else Sam Altman's talked about

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<v Speaker 5>it is a personal digital assistant, so an AI system

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<v Speaker 5>that would not only find information, do research for you,

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<v Speaker 5>help you figure out how to buy a new car,

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<v Speaker 5>what are the best running shoes for you, but also

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<v Speaker 5>help you tasks like maybe buy that car or buy

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<v Speaker 5>those shoes for you at the best price and get them,

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<v Speaker 5>you know, with the fastest speed, and perform tasks for you,

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<v Speaker 5>like help you book that family vacation, not in the

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<v Speaker 5>average three and a half hours that most families take,

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<v Speaker 5>but in the you know, thirty minutes or twenty minutes

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<v Speaker 5>or fifteen minutes, and do all these tasks, you know,

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<v Speaker 5>kind of do them for you and you can come

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<v Speaker 5>back and have them done. So I think that's how

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<v Speaker 5>to think about it, you know, I'm hoping that all

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<v Speaker 5>that comes together.

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<v Speaker 6>Look, I try, I spend a lot of time with Gemini.

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<v Speaker 5>I've spent a lot of time with you know, chat

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<v Speaker 5>ept and and you know, I've run it through its

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<v Speaker 5>paces and doing projects and tasks like that. They're not

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<v Speaker 5>they're not there yet, but I see the potential and

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<v Speaker 5>I see the ongoing improvement. So I think that's what

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<v Speaker 5>we're waiting for, These personal AI assistants that are going

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<v Speaker 5>to be able to research, find information and perform tasks

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<v Speaker 5>for us and going to do it seamlessly and quickly.

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<v Speaker 5>And you know, that's what we're all sort of hoping for.

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<v Speaker 3>That's Mark Mahaney, Senior Managing Director and head of Internet

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<v Speaker 3>Research at Evercore ISO.

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<v Speaker 4>On Thursday, both Apple and Amazon reported results. More on

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<v Speaker 4>that ahead, We started with a look at the numbers

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<v Speaker 4>from the world's largest online retailer with Bloomberg Intelligence senior

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<v Speaker 4>analysts for e commerce and ath Leisure Punum Goyle.

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<v Speaker 7>Sales were very get across the board, across all business segments, AWS,

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<v Speaker 7>online advertising, even physical stores. So from a top line perspective,

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<v Speaker 7>very very encouraging results. In fact, AWS was probably the

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<v Speaker 7>bright spot here twenty percent gains. We haven't seen that

0:10:29.240 --> 0:10:32.960
<v Speaker 7>in a while. On the margin side, I think AWS

0:10:33.000 --> 0:10:35.600
<v Speaker 7>did really well, but then when it came to North

0:10:35.640 --> 0:10:39.079
<v Speaker 7>America margins, they were weaker than we expected. So it's

0:10:39.080 --> 0:10:42.680
<v Speaker 7>the only one area that I saw some skepticism, and

0:10:42.720 --> 0:10:45.439
<v Speaker 7>I think that's largely due to their ability to want

0:10:45.480 --> 0:10:49.080
<v Speaker 7>to maintain low prices to make sure the consumer keeps

0:10:49.080 --> 0:10:50.959
<v Speaker 7>coming back and investing in its fulfillment.

0:10:51.320 --> 0:10:55.160
<v Speaker 4>So you think that margins took a hit because Amazon

0:10:55.280 --> 0:10:56.640
<v Speaker 4>is keeping prices low.

0:10:56.600 --> 0:10:59.520
<v Speaker 7>Why, I mean, they want to drive market share gains. Right, So,

0:10:59.559 --> 0:11:01.760
<v Speaker 7>if you think about what's happening in retail this year,

0:11:02.160 --> 0:11:05.920
<v Speaker 7>tariffs have clearly added to costs and many retailers have

0:11:06.040 --> 0:11:10.400
<v Speaker 7>decided to offset those costs through efficiencies to try to

0:11:10.520 --> 0:11:14.360
<v Speaker 7>keep an hold prices steady or raise them selectively, so

0:11:14.400 --> 0:11:16.520
<v Speaker 7>that could be part of the pressure. And then also,

0:11:16.600 --> 0:11:19.040
<v Speaker 7>you know, Amazon has stepped up its game on shipping

0:11:19.040 --> 0:11:21.880
<v Speaker 7>where it was the leader and it still is the leader,

0:11:21.960 --> 0:11:25.920
<v Speaker 7>but they're continuing to invest there to get items to faster,

0:11:26.120 --> 0:11:26.880
<v Speaker 7>same day, etc.

0:11:27.559 --> 0:11:29.480
<v Speaker 3>So what else can you give us in terms of

0:11:29.520 --> 0:11:32.040
<v Speaker 3>color on the retail side of the business, which is

0:11:32.080 --> 0:11:36.160
<v Speaker 3>something that so many of us right identify very clearly

0:11:36.200 --> 0:11:37.440
<v Speaker 3>with when it comes to Amazon.

0:11:37.720 --> 0:11:40.079
<v Speaker 7>Yeah, I think, look, they're making all the right investments

0:11:40.120 --> 0:11:44.360
<v Speaker 7>to improve profitability. In the longer term, Amazon's retail businesses

0:11:44.400 --> 0:11:46.760
<v Speaker 7>finally break even too profitable. It took a long time

0:11:46.760 --> 0:11:49.400
<v Speaker 7>to get here, and I think automation will be the

0:11:49.440 --> 0:11:52.760
<v Speaker 7>next leg of growth to drive that further. But as

0:11:52.760 --> 0:11:57.959
<v Speaker 7>I've mentioned you know earlier, AWS is driving their EBIT margins,

0:11:58.040 --> 0:12:01.840
<v Speaker 7>so AWS some compensate these investments to a certain extent,

0:12:02.040 --> 0:12:05.120
<v Speaker 7>and so can advertising because the margins here are just

0:12:05.200 --> 0:12:07.600
<v Speaker 7>so much higher than they'll ever be able to get

0:12:07.640 --> 0:12:08.559
<v Speaker 7>in the retail business.

0:12:08.840 --> 0:12:11.640
<v Speaker 4>How is how is the advertising business during PUNAM It's

0:12:11.640 --> 0:12:12.320
<v Speaker 4>doing really well.

0:12:12.320 --> 0:12:14.920
<v Speaker 7>Like Brow twenty two, percent in constant currency in the quarter,

0:12:15.280 --> 0:12:18.000
<v Speaker 7>so right where we expected. And I think, you know,

0:12:18.080 --> 0:12:20.760
<v Speaker 7>that's a high profit business. It's about seventy five to

0:12:20.800 --> 0:12:24.640
<v Speaker 7>eighty percent profit margins by our estimates, and that's flowing

0:12:24.720 --> 0:12:26.480
<v Speaker 7>right to the bottom line. We see it going to

0:12:26.559 --> 0:12:29.840
<v Speaker 7>one hundred billion dollars. So there's a lot of improvement

0:12:29.920 --> 0:12:32.120
<v Speaker 7>that they can build in advertising and really drive that

0:12:32.200 --> 0:12:32.880
<v Speaker 7>business higher.

0:12:32.920 --> 0:12:34.959
<v Speaker 4>From here, where's that coming from? Is that coming from

0:12:34.960 --> 0:12:37.880
<v Speaker 4>interstitials placed in Amazon Prime Video which cut a lot

0:12:37.880 --> 0:12:39.800
<v Speaker 4>of people off guard when they started doing that. Was

0:12:39.840 --> 0:12:43.400
<v Speaker 4>it last year maybe? Or yeah? Or is it or

0:12:43.400 --> 0:12:46.760
<v Speaker 4>is it coming from like products that are paid for placement.

0:12:47.080 --> 0:12:49.480
<v Speaker 7>I think it's a combination of both. You're absolutely right,

0:12:49.520 --> 0:12:52.199
<v Speaker 7>these ads are driving incremental revenue, but if you think

0:12:52.240 --> 0:12:55.680
<v Speaker 7>about the base of this revenue base, it's still coming

0:12:55.720 --> 0:12:58.960
<v Speaker 7>from product advertisements. The ads do help, and they will

0:12:58.960 --> 0:13:02.239
<v Speaker 7>become a larger drive as the ad business grows in size,

0:13:02.440 --> 0:13:04.760
<v Speaker 7>but the core of it is still product advertising.

0:13:05.160 --> 0:13:08.000
<v Speaker 4>That's Bloomberg Intelligence Senior analyst for e Commerce and ath

0:13:08.080 --> 0:13:09.559
<v Speaker 4>Leisure Punham Goyle.

0:13:09.559 --> 0:13:12.640
<v Speaker 3>Still ahead on Bloomberg BusinessWeek. The Trump White House continues

0:13:12.720 --> 0:13:16.200
<v Speaker 3>its investment push. This time they're going nuclear.

0:13:16.120 --> 0:13:17.280
<v Speaker 4>This is Bloomberg.

0:13:21.440 --> 0:13:25.600
<v Speaker 2>This is Bloomberg Business Week Daily with Carol Masser and

0:13:25.679 --> 0:13:28.360
<v Speaker 2>Tim Steneveek on Bloomberg Radio.

0:13:29.160 --> 0:13:32.480
<v Speaker 3>The Trump administration is taking the same investment strategy it

0:13:32.520 --> 0:13:36.000
<v Speaker 3>has applied to mining, steel and semiconductor companies to a

0:13:36.040 --> 0:13:38.760
<v Speaker 3>new area, domestic nuclear reactors.

0:13:39.000 --> 0:13:42.000
<v Speaker 4>The US will be the initial buyer for multiple reactors

0:13:42.000 --> 0:13:45.800
<v Speaker 4>from Westinghouse. That's according to Simon Maine, a spokesman for

0:13:45.880 --> 0:13:49.480
<v Speaker 4>Brookfield Asset Management. It's one of the manufacturer's owners now.

0:13:49.520 --> 0:13:52.040
<v Speaker 3>Tim THATTT News comes just shortly after reporting that the

0:13:52.040 --> 0:13:55.520
<v Speaker 3>White House is in early stage conversations with quantum computing

0:13:55.559 --> 0:13:59.120
<v Speaker 3>companies to discuss potential financial support for an industry that's

0:13:59.360 --> 0:14:02.640
<v Speaker 3>part of the growing race with China for technology supremacy.

0:14:03.040 --> 0:14:05.400
<v Speaker 3>And after taking steaks, as you know, in a lot

0:14:05.400 --> 0:14:10.040
<v Speaker 3>of other companies, we're talking about Intel, MP Materials, Trilogy Metals,

0:14:10.160 --> 0:14:11.400
<v Speaker 3>and Lithium Americas.

0:14:11.800 --> 0:14:13.880
<v Speaker 4>To help us make sense of what some say is

0:14:13.920 --> 0:14:16.600
<v Speaker 4>a push to create a sovereign wealth fund, we caught

0:14:16.640 --> 0:14:19.760
<v Speaker 4>up with a Bloomberg News economic stakecraft reporter Joe Doe

0:14:19.840 --> 0:14:22.920
<v Speaker 4>and Bloomberg News Senior White House correspondent Josh Wingrove.

0:14:23.200 --> 0:14:26.880
<v Speaker 8>Our reporting is that these talks are ongoing but preliminary.

0:14:27.200 --> 0:14:30.280
<v Speaker 8>Remember Biden had his Chips Act and they sort of

0:14:30.280 --> 0:14:33.080
<v Speaker 8>made all these pledges. Trump's administration has made clear that

0:14:33.160 --> 0:14:37.640
<v Speaker 8>they are really redetermining, let's say, or reprofiling a lot

0:14:37.680 --> 0:14:39.920
<v Speaker 8>of this funding. We've seen it, of course with the

0:14:39.960 --> 0:14:43.720
<v Speaker 8>Intel discussions and then converting the Chips Act award into

0:14:44.280 --> 0:14:47.600
<v Speaker 8>an equity stake. Frankly, Democrats wondered whether that was legal

0:14:47.680 --> 0:14:50.240
<v Speaker 8>or not. And now the question is what they do

0:14:50.280 --> 0:14:52.760
<v Speaker 8>with other chips AC funding, in particular on R and

0:14:52.840 --> 0:14:55.680
<v Speaker 8>D funding. And our understanding is that that is what

0:14:55.800 --> 0:14:58.560
<v Speaker 8>is being sort of kicked around now, not necessarily limited

0:14:58.560 --> 0:15:02.480
<v Speaker 8>to quantum computing, but early stage, preliminary discussions. You know,

0:15:02.480 --> 0:15:05.240
<v Speaker 8>I don't want to, you know, find myself at odds

0:15:05.240 --> 0:15:07.440
<v Speaker 8>with the Wall Street Journal, but our understanding is that

0:15:07.520 --> 0:15:10.520
<v Speaker 8>this is not yet proceeded to the you know, hashing

0:15:10.560 --> 0:15:13.560
<v Speaker 8>out of direct stakes and that kind of stage of things.

0:15:13.920 --> 0:15:16.280
<v Speaker 8>But I suppose time will tell. What is clear is

0:15:16.400 --> 0:15:18.680
<v Speaker 8>essentially from all this reporting that there is a sort

0:15:18.680 --> 0:15:21.760
<v Speaker 8>of a trajectory here, right the Trump administration sees quantum

0:15:22.080 --> 0:15:25.560
<v Speaker 8>as a sector that it wants to bolster invest maybe

0:15:25.600 --> 0:15:28.880
<v Speaker 8>add to its sort of strategic landscape, if you will,

0:15:28.920 --> 0:15:32.280
<v Speaker 8>of industries that Trump is getting more and more involved

0:15:32.280 --> 0:15:35.840
<v Speaker 8>in and you know, trying to support domestic development of

0:15:36.000 --> 0:15:37.800
<v Speaker 8>and so whether you know how far it goes and

0:15:37.840 --> 0:15:39.840
<v Speaker 8>how far it is. You're seeing some conflicting reporting on

0:15:39.880 --> 0:15:42.680
<v Speaker 8>it candidly right now, but the trajectory seems to be

0:15:42.720 --> 0:15:44.720
<v Speaker 8>pointing in one direction, which is the quantum is something

0:15:44.720 --> 0:15:45.560
<v Speaker 8>they're sniffing around.

0:15:45.720 --> 0:15:48.240
<v Speaker 3>All right, so Jojo, come on, and what you're hearing,

0:15:48.280 --> 0:15:49.920
<v Speaker 3>But I also want to layer on top of that.

0:15:50.320 --> 0:15:54.480
<v Speaker 3>You know, in essence, is the United States, via President Trump,

0:15:54.600 --> 0:15:58.720
<v Speaker 3>kind of actually operating, if not officially, kind of a

0:15:58.760 --> 0:16:01.720
<v Speaker 3>wealth fund of the United States as it continues to

0:16:02.440 --> 0:16:06.440
<v Speaker 3>ponder taking positions in companies private or others, a lot

0:16:06.440 --> 0:16:09.800
<v Speaker 3>of public companies already having taken stakes as well.

0:16:10.200 --> 0:16:14.200
<v Speaker 9>In short, yes, listen, I think look at this quantum

0:16:14.240 --> 0:16:16.680
<v Speaker 9>computing article that we have out, and you add it

0:16:16.720 --> 0:16:19.720
<v Speaker 9>to some earlier reporting that Josh and I had about

0:16:19.720 --> 0:16:23.680
<v Speaker 9>a tungsten deposit that the US is backing a US

0:16:23.760 --> 0:16:27.080
<v Speaker 9>private company to purchase ad on top of that intel

0:16:27.400 --> 0:16:31.160
<v Speaker 9>US steel imped materials. It goes on and on and on,

0:16:31.240 --> 0:16:34.120
<v Speaker 9>and what we're really seeing is a United States federal

0:16:34.160 --> 0:16:37.320
<v Speaker 9>government that is comfortable with having a pretty broad reaching

0:16:37.400 --> 0:16:42.440
<v Speaker 9>portfolio that it is either taking active stakes in or

0:16:42.640 --> 0:16:46.680
<v Speaker 9>financial backing to have some direction in terms of these

0:16:46.720 --> 0:16:50.480
<v Speaker 9>companies that they believe are significant in terms of national security.

0:16:52.560 --> 0:16:54.480
<v Speaker 9>And I think if I can tie it to that

0:16:54.560 --> 0:16:57.200
<v Speaker 9>question of the Sovereign Wealth Fund question, if you look

0:16:57.240 --> 0:17:00.280
<v Speaker 9>at this quantum computing story, as Josh has, at the

0:17:00.400 --> 0:17:04.800
<v Speaker 9>very least, it points out how broad reaching the administration's

0:17:04.840 --> 0:17:08.639
<v Speaker 9>idea of what is nationally significant for security purposes really is.

0:17:09.680 --> 0:17:13.160
<v Speaker 4>Yeah, I think the question that I have is what happens,

0:17:13.480 --> 0:17:16.159
<v Speaker 4>Josh or or yeah, Josh, I mean, what happens to

0:17:16.160 --> 0:17:20.359
<v Speaker 4>the companies that do not get investments from the United States?

0:17:20.400 --> 0:17:23.520
<v Speaker 4>What about competitors in the space, whether we're talking about

0:17:23.800 --> 0:17:27.199
<v Speaker 4>quantum computing companies or we're talking about rare earth miners

0:17:27.200 --> 0:17:31.160
<v Speaker 4>that we're talking about metal producers, like, what happens to those?

0:17:31.800 --> 0:17:34.119
<v Speaker 8>I mean, this is the question of the sort of

0:17:34.200 --> 0:17:37.199
<v Speaker 8>handful of conservatives who are willing to speak aloud what

0:17:37.400 --> 0:17:41.040
<v Speaker 8>a larger number of conservatives have along and always believed

0:17:41.040 --> 0:17:43.000
<v Speaker 8>and probably do but still believe, which is that they

0:17:43.000 --> 0:17:46.479
<v Speaker 8>don't feel comfortable with presidents of either stripe picking winners

0:17:46.480 --> 0:17:48.240
<v Speaker 8>and losers. Right, This used to be something that the

0:17:48.280 --> 0:17:50.720
<v Speaker 8>Republican Party, you know, this was not a tree that

0:17:50.760 --> 0:17:52.520
<v Speaker 8>they were barking up all that often. And so Trump

0:17:52.560 --> 0:17:55.159
<v Speaker 8>has changed the calculus in so many ways. So I

0:17:55.200 --> 0:17:57.600
<v Speaker 8>think there's a few things swirling here. Number one, of course,

0:17:57.640 --> 0:18:00.119
<v Speaker 8>how far will it go? We just don't know. And

0:18:00.160 --> 0:18:03.920
<v Speaker 8>it's also unclear whether Congress, including but not limited to Republicans,

0:18:04.320 --> 0:18:06.959
<v Speaker 8>would start, you know, sticking its head up and saying, hey,

0:18:07.000 --> 0:18:09.520
<v Speaker 8>wait a minute, in particular with how they're interpreting the

0:18:09.560 --> 0:18:13.520
<v Speaker 8>Chips Act, which was bipartisan bill that, in the eyes

0:18:13.560 --> 0:18:15.680
<v Speaker 8>of the lawmakers behind it, set out the rules of

0:18:15.760 --> 0:18:18.399
<v Speaker 8>what you can and can't do. And number two is okay, well,

0:18:18.400 --> 0:18:20.280
<v Speaker 8>if this is the new reality, and if the Republican

0:18:20.320 --> 0:18:23.000
<v Speaker 8>Party is really moving on this, where does it go

0:18:23.040 --> 0:18:24.600
<v Speaker 8>from here? And if you know, if the next president's

0:18:24.600 --> 0:18:27.719
<v Speaker 8>a Democrat, decides to take it further than this, you know,

0:18:27.880 --> 0:18:30.040
<v Speaker 8>or even roll it back. It's just really up in

0:18:30.040 --> 0:18:32.040
<v Speaker 8>the air right now. But President Trump has made it clear,

0:18:32.520 --> 0:18:35.879
<v Speaker 8>as as Secretary Lutnik, that they're both interested in this

0:18:35.960 --> 0:18:38.120
<v Speaker 8>sort of idea of like getting skin in the game

0:18:38.200 --> 0:18:40.959
<v Speaker 8>or getting something in exchange for taxpayer support. They call it,

0:18:41.040 --> 0:18:44.160
<v Speaker 8>you know, they see it basically as a fairness issue.

0:18:44.160 --> 0:18:45.520
<v Speaker 8>You do not get the support of the government if

0:18:45.520 --> 0:18:47.960
<v Speaker 8>we're not getting something out of it ourselves. And so

0:18:48.000 --> 0:18:49.560
<v Speaker 8>I think there's no sign that is going to slow

0:18:49.600 --> 0:18:50.879
<v Speaker 8>down right now with this administration.

0:18:51.240 --> 0:18:55.840
<v Speaker 4>Joe, you cover economic stakeecraft. You've spent many years covering

0:18:55.920 --> 0:18:58.440
<v Speaker 4>metals and mining. You understand rare earth. This is sort

0:18:58.480 --> 0:19:01.080
<v Speaker 4>of the perfect cross section of what you've been focused

0:19:01.119 --> 0:19:04.840
<v Speaker 4>on for your career. But if we think about now

0:19:05.160 --> 0:19:09.160
<v Speaker 4>the Trump administration taking investment in many different types of industries,

0:19:09.160 --> 0:19:13.359
<v Speaker 4>from tac to metals to rare earths, what are people

0:19:13.400 --> 0:19:16.959
<v Speaker 4>talking about could be next everything? I mean, I mean

0:19:17.119 --> 0:19:19.600
<v Speaker 4>thro Intel in there, right, yeah, I.

0:19:19.520 --> 0:19:22.359
<v Speaker 9>Mean this is the great experiment when you know, Josh

0:19:22.440 --> 0:19:26.320
<v Speaker 9>and I and Ryan, we had the terrific scoop that

0:19:26.359 --> 0:19:29.880
<v Speaker 9>Intel was suddenly on the map for an inequity stake, right.

0:19:30.240 --> 0:19:32.840
<v Speaker 9>I think I think that really got the attention of

0:19:33.000 --> 0:19:36.679
<v Speaker 9>investors in a way that like MP materials and critical

0:19:36.760 --> 0:19:39.520
<v Speaker 9>minerals had not. I mean, the kind of scale you're

0:19:39.520 --> 0:19:43.800
<v Speaker 9>talking about with Intel shows you how big this administration

0:19:43.960 --> 0:19:46.600
<v Speaker 9>is willing to think in terms of using the full

0:19:46.640 --> 0:19:50.280
<v Speaker 9>force of the United States federal government to put into motion

0:19:50.480 --> 0:19:54.280
<v Speaker 9>the things it thinks are important and where we go

0:19:54.400 --> 0:19:57.720
<v Speaker 9>from here. I mean the phone calls that I sometimes

0:19:57.760 --> 0:20:00.240
<v Speaker 9>have with Josh and others saying, hey, we should look

0:20:00.280 --> 0:20:05.919
<v Speaker 9>at this thing is wild and wild is being reportable.

0:20:06.119 --> 0:20:09.040
<v Speaker 4>That was Bloomberg News Economic stakecraft reporter Joe Doe and

0:20:09.080 --> 0:20:11.920
<v Speaker 4>Bloomberg News Senior White House correspondent Josh wing Grow.

0:20:12.080 --> 0:20:15.360
<v Speaker 3>And speaking of Nvidia, it's also partnered with yet another company.

0:20:15.400 --> 0:20:18.160
<v Speaker 3>This week, the AI chip maker took a two point

0:20:18.240 --> 0:20:21.399
<v Speaker 3>nine percent stake in Nokia, using its chips to boost

0:20:21.480 --> 0:20:24.960
<v Speaker 3>Nokia's software for five G and six G networks. Bloomberg's

0:20:25.040 --> 0:20:27.520
<v Speaker 3>Ed Ludlow sitting down with the CEOs of both Nvidia

0:20:27.520 --> 0:20:30.720
<v Speaker 3>and Nokia following that announcement, and here is some of

0:20:30.760 --> 0:20:33.920
<v Speaker 3>that conversation with Jensen Wang and Justin Hotard.

0:20:34.200 --> 0:20:36.960
<v Speaker 10>If we take advantage of this transition from general purpose

0:20:37.000 --> 0:20:41.240
<v Speaker 10>computing to accelerated computing, from old types of all types

0:20:41.280 --> 0:20:43.679
<v Speaker 10>of software to AI, we can take advantage of this

0:20:43.720 --> 0:20:47.280
<v Speaker 10>transition of AI and six G for America to win

0:20:47.440 --> 0:20:51.080
<v Speaker 10>back telecommunications again. It's been a long time since the

0:20:51.119 --> 0:20:54.160
<v Speaker 10>American telecommunication network has been built on American technology.

0:20:54.720 --> 0:20:56.240
<v Speaker 6>National security, I believe.

0:20:56.119 --> 0:20:59.080
<v Speaker 10>For national security reasons, for economic reasons, our industry should

0:20:59.080 --> 0:21:01.400
<v Speaker 10>be built on American technology, and for the very first time,

0:21:01.440 --> 0:21:03.280
<v Speaker 10>we can do that. We have a brand new product

0:21:03.280 --> 0:21:06.560
<v Speaker 10>line that takes advantage of computing, accelerated computing, and AI,

0:21:07.000 --> 0:21:09.400
<v Speaker 10>and we have a great partner to help us deal

0:21:09.480 --> 0:21:10.840
<v Speaker 10>with Nokia.

0:21:10.920 --> 0:21:14.000
<v Speaker 11>There was a time where Nokia was already looking to America.

0:21:14.440 --> 0:21:16.399
<v Speaker 11>You've been in the role since April, then may I

0:21:16.440 --> 0:21:19.399
<v Speaker 11>stop by asking you what role the administration played in

0:21:19.480 --> 0:21:22.480
<v Speaker 11>bringing you both together? If this is indeed a strategic priority.

0:21:23.400 --> 0:21:25.720
<v Speaker 12>I don't think there was anything specific that the administration

0:21:25.920 --> 0:21:29.760
<v Speaker 12>did other than they've created the environment to support innovation.

0:21:29.880 --> 0:21:32.520
<v Speaker 12>I mean, Jensen's talked about manufacturing, but it's also about

0:21:32.640 --> 0:21:36.440
<v Speaker 12>R and D and innovation and technology leadership. And if

0:21:36.480 --> 0:21:38.800
<v Speaker 12>you think about where this world is going, and all

0:21:38.840 --> 0:21:42.840
<v Speaker 12>those incredible devices are going to be built on nvidio platforms, robotics,

0:21:42.880 --> 0:21:47.480
<v Speaker 12>autonomous vehicles, augmented reality, virtual reality, we need a different

0:21:47.560 --> 0:21:50.240
<v Speaker 12>kind of network in the future, and that's what we realized,

0:21:50.600 --> 0:21:52.840
<v Speaker 12>and that's why we wanted to forge this partnership so

0:21:52.880 --> 0:21:58.560
<v Speaker 12>that we're building a network leveraging AI for AI services,

0:21:58.600 --> 0:22:00.120
<v Speaker 12>and that's really the big change.

0:22:00.240 --> 0:22:02.399
<v Speaker 11>And the technology is flowing both ways. I mean, what

0:22:02.480 --> 0:22:03.760
<v Speaker 11>is it that you will be able to do with

0:22:03.840 --> 0:22:06.680
<v Speaker 11>Nokia Jensen that you weren't able to do on your own.

0:22:06.920 --> 0:22:10.000
<v Speaker 10>Well, first of all, Nokia is in all of the

0:22:10.000 --> 0:22:13.520
<v Speaker 10>world's base stations, and this air scale platform of Nokia's

0:22:13.560 --> 0:22:15.919
<v Speaker 10>and millions of base stations around the world. If our

0:22:15.960 --> 0:22:18.760
<v Speaker 10>computers are not inside that base station doesn't help. It's

0:22:18.760 --> 0:22:21.639
<v Speaker 10>no different than videos tech computing platforms not inside of

0:22:21.680 --> 0:22:23.960
<v Speaker 10>cars doesn't help. And so the first thing is we

0:22:24.000 --> 0:22:26.360
<v Speaker 10>need a partner to get us into the world's base stations.

0:22:26.800 --> 0:22:31.440
<v Speaker 10>We also remember we're bringing AI to radio networks, AI

0:22:31.480 --> 0:22:34.880
<v Speaker 10>to RAM so that we can make wireless tech communications

0:22:34.920 --> 0:22:38.960
<v Speaker 10>a lot more efficient. Second, we're bringing AI for the radio,

0:22:39.080 --> 0:22:42.320
<v Speaker 10>meaning on top of these radio networks and these telecommunication

0:22:42.600 --> 0:22:45.160
<v Speaker 10>network we're going to be able to provide AI services,

0:22:45.400 --> 0:22:46.879
<v Speaker 10>which is going to be able to make it easier

0:22:46.920 --> 0:22:49.920
<v Speaker 10>for us to do robotics and autonomous vehicles and industrial

0:22:49.960 --> 0:22:53.639
<v Speaker 10>automation and reach all of the different places around the world.

0:22:53.840 --> 0:22:57.040
<v Speaker 10>That's kind of hard to do with Wi Fi, cellular reads, everything.

0:22:57.520 --> 0:23:00.320
<v Speaker 10>And so we now have this fabric that we can

0:23:00.560 --> 0:23:05.119
<v Speaker 10>deploy AI computing services on top of it. It's going

0:23:05.160 --> 0:23:06.400
<v Speaker 10>to be completely revolutionary.

0:23:06.600 --> 0:23:10.240
<v Speaker 4>That's in video. CEO Jensen Wong and Nokia CEO Justin

0:23:10.280 --> 0:23:13.640
<v Speaker 4>Hotard speaking with Bloomberg zed Ludlow this week about their

0:23:13.680 --> 0:23:16.040
<v Speaker 4>new partnership that has in Vidia taken a nearly three

0:23:16.119 --> 0:23:17.840
<v Speaker 4>percent stake in Nokia.

0:23:18.240 --> 0:23:20.720
<v Speaker 3>Now, I think what's interesting too. This past week, we

0:23:20.960 --> 0:23:24.680
<v Speaker 3>did have a big Nvidia event, the GtC event in Washington,

0:23:24.760 --> 0:23:28.159
<v Speaker 3>DC that they held, and we heard from Jensen Wong, right,

0:23:28.240 --> 0:23:30.320
<v Speaker 3>the CEO of Nvidia, about a lot of stuff and

0:23:30.320 --> 0:23:32.320
<v Speaker 3>a lot of things that move certainly the share price

0:23:32.359 --> 0:23:35.280
<v Speaker 3>of Nvidia to the upside this past week, but a

0:23:35.280 --> 0:23:38.560
<v Speaker 3>lot about relationships that it is forging and continues. But

0:23:39.119 --> 0:23:41.840
<v Speaker 3>he did also say that the government has not offered

0:23:41.880 --> 0:23:44.480
<v Speaker 3>to take a stake in their company and Vidia.

0:23:44.680 --> 0:23:48.119
<v Speaker 4>Well, first for the moment, Carl, yes, can we afford it?

0:23:48.400 --> 0:23:50.320
<v Speaker 3>Well, that's a good question. I mean, who do this

0:23:50.400 --> 0:23:51.160
<v Speaker 3>movie come from.

0:23:51.240 --> 0:23:53.320
<v Speaker 4>Obviously we could, we could afford it, but we're talking

0:23:53.359 --> 0:23:56.800
<v Speaker 4>about a market cap company that this week hit five

0:23:56.880 --> 0:24:00.639
<v Speaker 4>trillion dollars for the first time ever. It's also a

0:24:00.640 --> 0:24:04.080
<v Speaker 4>little different than some of the other companies that the

0:24:04.200 --> 0:24:07.760
<v Speaker 4>US has taken a stake in. It's not struggling. It

0:24:07.840 --> 0:24:11.120
<v Speaker 4>basically prints cash. It has this incredible mote with its

0:24:11.200 --> 0:24:15.239
<v Speaker 4>technology that AMD and Qualcom are trying to catch up

0:24:15.280 --> 0:24:19.320
<v Speaker 4>with Right and others. So to me, it doesn't seem

0:24:19.359 --> 0:24:22.600
<v Speaker 4>like the type of target that the US like. It

0:24:22.640 --> 0:24:23.840
<v Speaker 4>doesn't need the US's help.

0:24:24.040 --> 0:24:25.280
<v Speaker 3>Right doesn't need the support.

0:24:25.400 --> 0:24:25.959
<v Speaker 4>It doesn't need this.

0:24:26.080 --> 0:24:30.160
<v Speaker 3>It GE's doing. Didn't it hit five trillion?

0:24:30.280 --> 0:24:30.480
<v Speaker 9>Yeah?

0:24:30.800 --> 0:24:33.800
<v Speaker 3>Market cap this week? Yeah, I guess it's doing. Okay, Oh,

0:24:33.880 --> 0:24:35.960
<v Speaker 3>you did say that. I just think it bears repeating.

0:24:36.040 --> 0:24:38.200
<v Speaker 3>I'm just gonna say I do listen to you, Tim Hey.

0:24:38.200 --> 0:24:40.000
<v Speaker 3>The other thing we should mention about when it comes

0:24:40.080 --> 0:24:43.240
<v Speaker 3>to Nvidia, this was serious President Trump saying he didn't

0:24:43.280 --> 0:24:47.080
<v Speaker 3>discuss approving sales of Nvidia's Blackwell chips to China with

0:24:47.160 --> 0:24:50.720
<v Speaker 3>his counterpart, President xijimping. And that was one of the

0:24:50.760 --> 0:24:53.640
<v Speaker 3>things that was part of the supposed to be part

0:24:53.720 --> 0:24:56.520
<v Speaker 3>of the US China trade talks. But it was interesting.

0:24:56.560 --> 0:24:59.359
<v Speaker 3>It was a big thing that was missing from whatever

0:24:59.400 --> 0:25:01.080
<v Speaker 3>agreement they seem to come to.

0:25:01.560 --> 0:25:04.240
<v Speaker 4>Well, speaking of trade, given the trade tensions between the

0:25:04.320 --> 0:25:06.880
<v Speaker 4>US and many other parts of the world over this year.

0:25:07.240 --> 0:25:09.920
<v Speaker 4>Some furniture makers have taken a big hit as a

0:25:10.000 --> 0:25:13.440
<v Speaker 4>result of those tariffs, and the President says he does

0:25:13.560 --> 0:25:16.119
<v Speaker 4>want to make more furniture here in the United States.

0:25:16.359 --> 0:25:18.000
<v Speaker 3>That'll be good. That means I can buy more furniture.

0:25:18.000 --> 0:25:19.119
<v Speaker 3>I hope my husband is listening.

0:25:19.240 --> 0:25:21.399
<v Speaker 4>No, it means it's going to be more expensive, Darren.

0:25:21.680 --> 0:25:23.640
<v Speaker 4>There is some beautiful stuff out of North Carolina.

0:25:23.640 --> 0:25:26.240
<v Speaker 3>Though there is there always is. Hey, listen, We've got

0:25:26.240 --> 0:25:28.520
<v Speaker 3>a great look at consumers spending, at least when it

0:25:28.560 --> 0:25:31.600
<v Speaker 3>comes to things like couches, pillows, rugs, and all that

0:25:31.640 --> 0:25:34.640
<v Speaker 3>good stuff, you know, home furnishings. The CFO of Wayfair,

0:25:34.920 --> 0:25:35.560
<v Speaker 3>she joins us.

0:25:35.560 --> 0:25:39.000
<v Speaker 13>Next, it still remains for us that the consumer is

0:25:39.080 --> 0:25:42.800
<v Speaker 13>quite focused on promotional events, and so she you know,

0:25:42.800 --> 0:25:47.239
<v Speaker 13>our consumers typically a woman, you know, mass market, and

0:25:47.320 --> 0:25:49.800
<v Speaker 13>she needs those promotional events to really come in off

0:25:49.840 --> 0:25:53.159
<v Speaker 13>the sidelines and get excited to shop. We've talked in

0:25:53.200 --> 0:25:55.760
<v Speaker 13>the past about, you know, how the promotional events really

0:25:55.840 --> 0:25:58.760
<v Speaker 13>work as a marketing banner to get someone interested in

0:25:58.800 --> 0:26:01.600
<v Speaker 13>the category and to then bring them in to the site.

0:26:01.760 --> 0:26:03.919
<v Speaker 13>And that is still the case. Those promotional events are

0:26:03.960 --> 0:26:07.200
<v Speaker 13>pretty necessary to get the consumer engaged and excited.

0:26:07.520 --> 0:26:14.280
<v Speaker 2>This is Bloomberg. This is Bloomberg Business Week Daily with

0:26:14.440 --> 0:26:18.199
<v Speaker 2>Carol Masser and Tim Steneveek on Bloomberg Radio.

0:26:19.080 --> 0:26:22.240
<v Speaker 3>Assuming the Essential Bank would follow its second straight interest

0:26:22.280 --> 0:26:26.000
<v Speaker 3>rate cut with another in December, that officials are divided

0:26:26.040 --> 0:26:29.240
<v Speaker 3>about how much to ease as the ongoing government shutdown

0:26:29.280 --> 0:26:31.840
<v Speaker 3>limits the economic data usually at the basis of the

0:26:31.920 --> 0:26:36.439
<v Speaker 3>rates decision. It's not only that there's division, it's not

0:26:36.560 --> 0:26:39.600
<v Speaker 3>even about how much to ease. Some think there shouldn't.

0:26:39.160 --> 0:26:42.639
<v Speaker 4>Be any easy policymakers did, though, receive a delayed report

0:26:42.680 --> 0:26:45.280
<v Speaker 4>last week on the consumer price index and the whole

0:26:45.320 --> 0:26:48.600
<v Speaker 4>reason we got this report, Carol, social security, cost.

0:26:48.359 --> 0:26:50.600
<v Speaker 3>Of living, Yeah, totally. I mean, these are employees go

0:26:50.720 --> 0:26:54.800
<v Speaker 3>one off, well you know, yes, yes, but it's also

0:26:55.080 --> 0:26:58.639
<v Speaker 3>like those folks are voters and so you kind of

0:26:58.640 --> 0:26:59.760
<v Speaker 3>don't want to mess around with them.

0:27:00.119 --> 0:27:02.440
<v Speaker 4>Did that report though, did show that underlying inflation rose

0:27:02.440 --> 0:27:05.399
<v Speaker 4>in September at the slowest pace in three months. Is

0:27:05.440 --> 0:27:09.040
<v Speaker 4>inflation slow and consumer spending and is it affecting earnings?

0:27:09.160 --> 0:27:11.040
<v Speaker 3>Good couple of questions there. We've got a great look

0:27:11.119 --> 0:27:14.000
<v Speaker 3>at one slice of how consumers are shopping. Wayfair reported

0:27:14.040 --> 0:27:17.480
<v Speaker 3>third quarter results that easily topped expectations. On the call,

0:27:17.760 --> 0:27:20.760
<v Speaker 3>company management gave guidance for the current quarter that topped

0:27:20.880 --> 0:27:24.520
<v Speaker 3>consensus estimates, and they spent a lot of time talking

0:27:24.520 --> 0:27:28.560
<v Speaker 3>with Allison investors talking about the company's efforts to use AI.

0:27:29.040 --> 0:27:31.720
<v Speaker 3>We caught up with Wayfair CFO Kate Gulliver, who said

0:27:31.720 --> 0:27:34.640
<v Speaker 3>that consumers are still spending money on furniture.

0:27:34.760 --> 0:27:37.280
<v Speaker 13>We're obviously quite pleased with the third quarter results and

0:27:37.520 --> 0:27:40.560
<v Speaker 13>the subsequent reaction to them, and I do think it shows,

0:27:40.720 --> 0:27:42.679
<v Speaker 13>you know, all the work that we've been building to

0:27:42.720 --> 0:27:45.480
<v Speaker 13>over the last few years and the enduring strength in

0:27:45.560 --> 0:27:47.640
<v Speaker 13>the model. And so you saw that top line come

0:27:47.680 --> 0:27:51.840
<v Speaker 13>in pretty nicely at eight percent nine percent adjusted for

0:27:51.920 --> 0:27:55.640
<v Speaker 13>the German business, and that really is compounding share gains

0:27:55.680 --> 0:27:57.359
<v Speaker 13>there on the top line, and that of course flowed

0:27:57.359 --> 0:27:59.600
<v Speaker 13>through quite nicely to adjusted EBITA gains.

0:28:00.000 --> 0:28:03.400
<v Speaker 3>We described the consumer, Yeah, you know.

0:28:04.280 --> 0:28:07.600
<v Speaker 13>It still remains for us that the consumer is quite

0:28:07.600 --> 0:28:11.119
<v Speaker 13>focused on promotional events and so she, you know, our

0:28:11.160 --> 0:28:15.600
<v Speaker 13>consumers typically a woman, you know, mass market and she

0:28:15.720 --> 0:28:18.119
<v Speaker 13>needs those promotional events to really come in off the

0:28:18.160 --> 0:28:21.479
<v Speaker 13>sidelines and get excited to shop. We've talked in the

0:28:21.520 --> 0:28:24.200
<v Speaker 13>past about you know how the promotional events really work

0:28:24.200 --> 0:28:27.080
<v Speaker 13>as a marketing banner to get someone interested in the

0:28:27.119 --> 0:28:30.040
<v Speaker 13>category and to then bring them into the site. And

0:28:30.080 --> 0:28:32.480
<v Speaker 13>that is still the case. Those promotional events are pretty

0:28:32.520 --> 0:28:36.200
<v Speaker 13>necessary to get the consumer engaged and excited. We do

0:28:36.280 --> 0:28:40.800
<v Speaker 13>see relatively more strength than that higher end consumer for us,

0:28:40.800 --> 0:28:43.880
<v Speaker 13>that's consumers that are transacting on our paragold site, which

0:28:43.920 --> 0:28:47.160
<v Speaker 13>is our luxury brand or specialty retail brands. We've said

0:28:47.200 --> 0:28:49.920
<v Speaker 13>that those are actually growing at a faster rate than

0:28:49.960 --> 0:28:52.520
<v Speaker 13>the core wayfare dot com business. And you are seeing

0:28:52.560 --> 0:28:54.560
<v Speaker 13>more strength in that consumer segment.

0:28:54.880 --> 0:28:57.600
<v Speaker 4>Are you talked about promotions? You mentioned them. You have

0:28:57.600 --> 0:28:59.400
<v Speaker 4>to get consumers excited. Do you have to get them

0:28:59.400 --> 0:29:02.960
<v Speaker 4>more excited now than you did any other part of

0:29:03.000 --> 0:29:05.960
<v Speaker 4>this year. We're really trying to understand the economic environment

0:29:06.040 --> 0:29:06.440
<v Speaker 4>out there.

0:29:07.240 --> 0:29:10.680
<v Speaker 13>You know what's interesting is this category in particular has

0:29:10.760 --> 0:29:14.840
<v Speaker 13>been down for so long. So the category you know,

0:29:14.840 --> 0:29:17.480
<v Speaker 13>obviously boom during COVID and then at a pretty significant

0:29:17.840 --> 0:29:22.080
<v Speaker 13>significant pullback twenty two, twenty three, twenty four, So throughout

0:29:22.360 --> 0:29:25.120
<v Speaker 13>you know, twenty four and twenty five for this category,

0:29:25.200 --> 0:29:29.120
<v Speaker 13>promotions have been critical. You know, I would say what

0:29:29.160 --> 0:29:31.720
<v Speaker 13>we have seen, you know, really throughout twenty five is

0:29:31.960 --> 0:29:34.920
<v Speaker 13>there's also been some mix shift dynamics. In addition to

0:29:34.960 --> 0:29:38.640
<v Speaker 13>sort of higher end consumer and mass market consumer. You

0:29:38.680 --> 0:29:41.920
<v Speaker 13>do see consumers that are shopping are shopping for, you know,

0:29:42.000 --> 0:29:46.200
<v Speaker 13>things like decorative accents, decors, you know, maybe things with

0:29:46.280 --> 0:29:49.320
<v Speaker 13>a lower ticket than you know, buying a new couch

0:29:49.560 --> 0:29:51.760
<v Speaker 13>or a new chair. And I think that's the idea.

0:29:51.840 --> 0:29:54.880
<v Speaker 13>Someone wants to refresh and is excited about that, but

0:29:54.880 --> 0:29:56.800
<v Speaker 13>they want to be mindful of how much they're spending,

0:29:56.800 --> 0:29:59.280
<v Speaker 13>and so they're looking for the smaller pieces maybe opposed

0:29:59.320 --> 0:29:59.920
<v Speaker 13>to the big piece.

0:30:00.120 --> 0:30:02.480
<v Speaker 3>Well, you know, to that point, you know, Kate, I

0:30:02.480 --> 0:30:06.120
<v Speaker 3>think about the pandemic. We realize that's the anomaly. I mean,

0:30:06.200 --> 0:30:08.080
<v Speaker 3>I'm looking at your stock is up one hundred and

0:30:08.080 --> 0:30:10.400
<v Speaker 3>forty two percent this year, which is quite a run,

0:30:10.520 --> 0:30:14.000
<v Speaker 3>but it's still down about sixty nine percent from twenty

0:30:14.080 --> 0:30:17.840
<v Speaker 3>twenty one. We know everyone was at home spending on

0:30:17.880 --> 0:30:20.520
<v Speaker 3>their home. That's why people were working at at home,

0:30:20.840 --> 0:30:22.719
<v Speaker 3>spending on their pets. There was a lot of stuff

0:30:22.760 --> 0:30:25.240
<v Speaker 3>going on. So I am curious about when you look

0:30:25.280 --> 0:30:28.600
<v Speaker 3>at the third quarter growth, how much came from intrinsic

0:30:28.760 --> 0:30:32.160
<v Speaker 3>share capture versus category stabilization. Because it does sound like

0:30:32.360 --> 0:30:34.040
<v Speaker 3>we're seeing a lot of stabilization here.

0:30:34.840 --> 0:30:38.000
<v Speaker 13>It's a great question. We think the category itself is

0:30:38.120 --> 0:30:40.880
<v Speaker 13>roughly flat to slightly down. So I do think the

0:30:40.920 --> 0:30:44.280
<v Speaker 13>category has stabilized, and we see now we look at

0:30:44.320 --> 0:30:46.960
<v Speaker 13>a variety of different data sources and you know, they're

0:30:46.960 --> 0:30:50.160
<v Speaker 13>all slightly different, but they coalesce around a flatish category.

0:30:50.520 --> 0:30:52.880
<v Speaker 13>This is in contrast to last year where the category

0:30:53.000 --> 0:30:55.840
<v Speaker 13>was down maybe you know, mid single digits to high

0:30:55.880 --> 0:30:58.960
<v Speaker 13>single digits. So that's certainly an improvement, but we don't

0:30:59.040 --> 0:31:01.960
<v Speaker 13>yet see the category is having returned to growth. So

0:31:02.120 --> 0:31:04.720
<v Speaker 13>when we look at sort of eight percent growth, right,

0:31:04.800 --> 0:31:08.560
<v Speaker 13>that's definitely us gaining share on a category that is say, flatish.

0:31:08.920 --> 0:31:12.600
<v Speaker 4>When consumers are buying from Wayfair, are they buying to

0:31:12.680 --> 0:31:16.040
<v Speaker 4>replace stuff or is this trade up activity? What is

0:31:16.240 --> 0:31:18.320
<v Speaker 4>what is the data telling us or telling you?

0:31:19.200 --> 0:31:21.520
<v Speaker 13>Yeah, that's a that's a great question. We're certainly starting

0:31:21.560 --> 0:31:23.640
<v Speaker 13>to you know, hear that a bit from folks. You know,

0:31:23.720 --> 0:31:28.200
<v Speaker 13>have we hit replacement cycles? And really to the conversation

0:31:28.280 --> 0:31:30.280
<v Speaker 13>we were having around the pandemic, it speaks to so

0:31:30.440 --> 0:31:32.800
<v Speaker 13>much of the pull forward and demand that happened during

0:31:32.840 --> 0:31:36.600
<v Speaker 13>that pandemic. Period. You know, I think we see a

0:31:36.600 --> 0:31:40.920
<v Speaker 13>few things that drive you know, purchase events. One is moving,

0:31:40.960 --> 0:31:43.160
<v Speaker 13>and obviously that part of the category has still been

0:31:43.280 --> 0:31:46.680
<v Speaker 13>you know, quite suppressed. One would be life cycle changes.

0:31:46.760 --> 0:31:49.320
<v Speaker 13>So you know, your kid, you had a baby, and

0:31:49.360 --> 0:31:51.520
<v Speaker 13>now they're moving into a toddler bed, or the kids

0:31:51.600 --> 0:31:54.280
<v Speaker 13>leaving the home and you're turning their betterment into an office,

0:31:54.280 --> 0:31:56.600
<v Speaker 13>so sort of as your life cycle evolves, regardless of

0:31:56.600 --> 0:31:59.200
<v Speaker 13>if you're moving. And then a third would be you know,

0:31:59.360 --> 0:32:03.000
<v Speaker 13>replacement categories or sort of you know, juging up your room.

0:32:03.720 --> 0:32:05.680
<v Speaker 13>In replacement cycles, I think a lot of folks are

0:32:05.680 --> 0:32:07.600
<v Speaker 13>eager to see if you know, what was bought in

0:32:07.640 --> 0:32:10.240
<v Speaker 13>twenty twenty and twenty twenty one needs to be replaced

0:32:10.280 --> 0:32:12.400
<v Speaker 13>at this time. And I think what's helpful to understand

0:32:12.400 --> 0:32:15.480
<v Speaker 13>there is there's this very category by category specifics. So

0:32:16.080 --> 0:32:19.840
<v Speaker 13>if you bought you know, opening price point outdoor furniture

0:32:20.880 --> 0:32:23.640
<v Speaker 13>and you live in the Northeast, maybe five years is

0:32:23.920 --> 0:32:26.880
<v Speaker 13>you know an appropriate timeframe. But if you bought a

0:32:27.040 --> 0:32:30.160
<v Speaker 13>you know, nice couch, you know you're certainly not hitting

0:32:30.160 --> 0:32:32.040
<v Speaker 13>the replacement cycle on that yet.

0:32:32.280 --> 0:32:34.160
<v Speaker 3>I got to say, I love Jijing. I love buying

0:32:34.160 --> 0:32:36.120
<v Speaker 3>pillows but I'm afraid if I bring any more pillows home,

0:32:36.120 --> 0:32:37.960
<v Speaker 3>my husband's going to divorce me because he's like, I

0:32:37.960 --> 0:32:41.160
<v Speaker 3>can't even fire is bad. I can't find the bed anymore. Hey, listen,

0:32:41.200 --> 0:32:44.240
<v Speaker 3>you talk Kate about the higher end brands like Paragold.

0:32:44.360 --> 0:32:47.600
<v Speaker 3>You're seeing some strengths certainly in that area. I am

0:32:47.640 --> 0:32:51.280
<v Speaker 3>curious too about your retail expansion, the physical store retail

0:32:51.320 --> 0:32:56.240
<v Speaker 3>expansion or your loyalty program, if that's adding incremental customers

0:32:56.360 --> 0:32:59.760
<v Speaker 3>versus shifting existing digital ones. What are you seeing on

0:32:59.800 --> 0:33:00.360
<v Speaker 3>that front.

0:33:01.080 --> 0:33:03.920
<v Speaker 13>Yeah, great question. So on the physical retail side, we

0:33:04.080 --> 0:33:07.960
<v Speaker 13>are adding incremental customers. We're actually seeing in our first

0:33:08.040 --> 0:33:10.840
<v Speaker 13>large format Wayfare store that's been opened for a little

0:33:10.880 --> 0:33:13.280
<v Speaker 13>over a year now, more than fifty percent of the

0:33:13.280 --> 0:33:15.880
<v Speaker 13>folks who are transacting in that store are actually new

0:33:15.920 --> 0:33:18.320
<v Speaker 13>to the customer file. We have a one hundred million

0:33:18.360 --> 0:33:21.239
<v Speaker 13>customer file right so to be getting new customers at

0:33:21.240 --> 0:33:23.880
<v Speaker 13>this stage is pretty exciting. So it's definitely acting as

0:33:23.920 --> 0:33:27.600
<v Speaker 13>a way into the brand Paragold. We actually just opened

0:33:27.600 --> 0:33:30.680
<v Speaker 13>two stores for Paragold. So we open one in Houston

0:33:30.720 --> 0:33:33.240
<v Speaker 13>in the spring or of early summer, and then we

0:33:33.400 --> 0:33:35.840
<v Speaker 13>just opened in West Palm Beach in Florida a week ago.

0:33:36.440 --> 0:33:38.400
<v Speaker 13>So it's very early days on those stores, but we

0:33:38.440 --> 0:33:40.880
<v Speaker 13>do think that they should work as a nice customer

0:33:40.960 --> 0:33:45.600
<v Speaker 13>acquisition channel. The loyalty program, which is about a year old,

0:33:45.880 --> 0:33:49.120
<v Speaker 13>I would say that's acting more for existing customers to

0:33:49.160 --> 0:33:51.680
<v Speaker 13>get them to be increasingly sticky with us. So what

0:33:51.720 --> 0:33:56.080
<v Speaker 13>we're seeing from loyalty customers is nice incrementality, meaning you know,

0:33:56.080 --> 0:33:57.840
<v Speaker 13>if they were going to purchase, you know, six or

0:33:57.840 --> 0:33:59.800
<v Speaker 13>eight times a year, and maybe they're buying one to

0:33:59.800 --> 0:34:02.440
<v Speaker 13>two from us. Hopefully we're getting that next purchase that's

0:34:02.480 --> 0:34:03.880
<v Speaker 13>second or third purchase as well.

0:34:03.920 --> 0:34:07.400
<v Speaker 4>Now, Kate on the layoffs that we've heard from other

0:34:07.440 --> 0:34:10.840
<v Speaker 4>companies just in recent days. Amazon planning to eliminate roughly

0:34:10.880 --> 0:34:14.400
<v Speaker 4>fourteen thousand corporate jobs. This as Andy jasse Warren that

0:34:14.440 --> 0:34:17.399
<v Speaker 4>AI will shrink the company's workforce. You have a twenty

0:34:17.400 --> 0:34:20.640
<v Speaker 4>five hundred person tech team. How are you thinking about headcount?

0:34:20.680 --> 0:34:24.080
<v Speaker 4>Are you re allocating headcount toward AI applications or are

0:34:24.120 --> 0:34:26.520
<v Speaker 4>productivity gains allowing you to do more with a similar

0:34:26.560 --> 0:34:28.080
<v Speaker 4>cost base. What are the numbers there?

0:34:29.280 --> 0:34:31.839
<v Speaker 13>Yeah, it's a great question. Actually, our CTO, Fiona tan

0:34:32.040 --> 0:34:34.359
<v Speaker 13>was on our earnings called this morning speaking to some

0:34:34.640 --> 0:34:36.560
<v Speaker 13>of what we're seeing from AI, both on the top

0:34:36.560 --> 0:34:39.279
<v Speaker 13>line perspective and where we're going with you know, personalization,

0:34:39.600 --> 0:34:43.480
<v Speaker 13>but also on you know efficiency. Every employee in the company,

0:34:43.840 --> 0:34:46.440
<v Speaker 13>not just in tech, is actually enabled with AI you

0:34:46.480 --> 0:34:49.560
<v Speaker 13>know tools and AI resources, and right now what we're

0:34:49.560 --> 0:34:52.920
<v Speaker 13>seeing is really nice you know efficiency and enhancements to

0:34:53.080 --> 0:34:56.880
<v Speaker 13>individual employee work. And then in different pockets throughout the company,

0:34:56.880 --> 0:35:00.000
<v Speaker 13>including within tech, you know, as we use more specialized

0:35:00.200 --> 0:35:03.200
<v Speaker 13>dayye tools, you see you know, uptakeing efficiency there. I

0:35:03.239 --> 0:35:05.319
<v Speaker 13>frequently actually talk about our legal team, so not a

0:35:05.360 --> 0:35:07.799
<v Speaker 13>tech team, but a team that you know, has been

0:35:07.840 --> 0:35:11.319
<v Speaker 13>able to adopt AI quite rapidly for document review and

0:35:11.360 --> 0:35:14.160
<v Speaker 13>the ability for them to sort of manage, for example,

0:35:14.200 --> 0:35:16.840
<v Speaker 13>increase lease load as we've been expanding the physical retail

0:35:16.880 --> 0:35:21.520
<v Speaker 13>network without having to add incremental folks has been pretty impressive,

0:35:21.960 --> 0:35:23.920
<v Speaker 13>and so we certainly are seeing gains you know, from

0:35:24.000 --> 0:35:24.680
<v Speaker 13>that efficiency.

0:35:24.719 --> 0:35:27.120
<v Speaker 3>Internally, Hey, do you feel like, though, in this environment

0:35:27.160 --> 0:35:28.719
<v Speaker 3>that you want to be lean and mean? I mean,

0:35:28.760 --> 0:35:30.360
<v Speaker 3>I guess I feel like all companies want to be

0:35:30.400 --> 0:35:32.680
<v Speaker 3>lean and mean, Kate, But I do wonder if you're seeing,

0:35:33.200 --> 0:35:34.919
<v Speaker 3>you know, as you look down the road. We are

0:35:34.920 --> 0:35:39.200
<v Speaker 3>in this funny environment funny not funny, haha, but funny

0:35:39.200 --> 0:35:42.040
<v Speaker 3>difficult in that with the government shutdown, we're not getting data.

0:35:42.040 --> 0:35:44.480
<v Speaker 3>So we're trying to figure out by talking to folks

0:35:44.560 --> 0:35:47.880
<v Speaker 3>like you, where we are in our economy. So do

0:35:47.920 --> 0:35:50.320
<v Speaker 3>you feel like there's pressure to be leaner and meaner

0:35:51.160 --> 0:35:53.759
<v Speaker 3>that maybe I don't know a month ago or so,

0:35:54.040 --> 0:35:56.439
<v Speaker 3>or you feel more confident about what's kind of coming

0:35:56.480 --> 0:35:57.160
<v Speaker 3>down the road here?

0:35:58.480 --> 0:36:00.239
<v Speaker 13>You know, I think you firmed it wellcome Beryl, and

0:36:00.239 --> 0:36:02.400
<v Speaker 13>who said you should always feel you know the importance

0:36:02.400 --> 0:36:05.000
<v Speaker 13>of being lean. I mean, we're a mass market retailer, right,

0:36:05.080 --> 0:36:09.080
<v Speaker 13>We operate on basis points of margin, so we absolutely

0:36:09.160 --> 0:36:12.320
<v Speaker 13>need to be men highly focused on cost at all times,

0:36:12.360 --> 0:36:15.080
<v Speaker 13>regardless of the macro that we're operating in. And over

0:36:15.120 --> 0:36:16.960
<v Speaker 13>the last several years you saw us go through a

0:36:17.040 --> 0:36:20.600
<v Speaker 13>number of restructurings frankly to bring down that overhead cost

0:36:20.640 --> 0:36:23.600
<v Speaker 13>pretty significantly. Our most recent restructuring was actually March of

0:36:23.600 --> 0:36:26.839
<v Speaker 13>this year. We're to the conversation on tech employees. We

0:36:26.880 --> 0:36:29.160
<v Speaker 13>did lay off some of our tech team as we

0:36:29.239 --> 0:36:33.120
<v Speaker 13>completed our replatforming exercise, and we're able to actually increase

0:36:33.160 --> 0:36:36.319
<v Speaker 13>some efficiency on that team point in more of those resources,

0:36:36.360 --> 0:36:39.239
<v Speaker 13>you know, towards AI, et cetera, as they have stayed. So,

0:36:39.440 --> 0:36:41.680
<v Speaker 13>you know, we continue to be quite focused on efficiency

0:36:41.719 --> 0:36:44.080
<v Speaker 13>and efficiency gains. We feel good about, you know, where

0:36:44.120 --> 0:36:46.040
<v Speaker 13>the team is right now and the efficiency that we're

0:36:46.040 --> 0:36:48.279
<v Speaker 13>seeing from that operating team. But that comes on the

0:36:48.320 --> 0:36:51.160
<v Speaker 13>heels of you know, several rounds of restructuring over the

0:36:51.239 --> 0:36:52.280
<v Speaker 13>last twenty four months.

0:36:52.320 --> 0:36:54.319
<v Speaker 4>Well on AI. On the consumer side, when it comes

0:36:54.360 --> 0:36:56.719
<v Speaker 4>to AI, I'm wondering about the traction from use and

0:36:56.800 --> 0:37:01.359
<v Speaker 4>decorify the decorating platform the new pilot. How has that

0:37:01.440 --> 0:37:05.520
<v Speaker 4>been with shoppers so far? Is it driving broader consumer

0:37:05.560 --> 0:37:07.160
<v Speaker 4>adoption of AI lead design?

0:37:08.600 --> 0:37:13.160
<v Speaker 13>Yeah, so we've tested out a number of AI you

0:37:13.200 --> 0:37:15.719
<v Speaker 13>know tooling as it relates to how the consumer can

0:37:15.800 --> 0:37:20.160
<v Speaker 13>experience our website. We offer millions of different skews across

0:37:20.160 --> 0:37:22.640
<v Speaker 13>thousands of suppliers, across a wide range of styles. So

0:37:22.800 --> 0:37:26.880
<v Speaker 13>the holy grail is really personalization. And how do you know,

0:37:26.960 --> 0:37:28.960
<v Speaker 13>all three of us maybe searching for, you know, the

0:37:29.080 --> 0:37:31.160
<v Speaker 13>throw pillows for the bed that Carol was talking about,

0:37:31.320 --> 0:37:33.480
<v Speaker 13>and we all may have a different aesthetic, So how

0:37:33.480 --> 0:37:35.080
<v Speaker 13>do we land on the site and get to our

0:37:35.160 --> 0:37:38.920
<v Speaker 13>aesthetic as fast as possible to glorify. And you know,

0:37:38.960 --> 0:37:40.720
<v Speaker 13>now we have a tab on the app called Discover.

0:37:41.080 --> 0:37:44.319
<v Speaker 13>These are ways for individuals to sort of browse and

0:37:44.440 --> 0:37:47.279
<v Speaker 13>engage in a way that should be more personalized for them,

0:37:47.280 --> 0:37:50.080
<v Speaker 13>and we do see great engagement there. But even on

0:37:50.200 --> 0:37:51.839
<v Speaker 13>you know, the main part of the app, so not

0:37:51.960 --> 0:37:54.040
<v Speaker 13>using one of these specialized tools or the main part

0:37:54.080 --> 0:37:56.799
<v Speaker 13>of the website, we were using generative AI to make

0:37:56.800 --> 0:37:59.560
<v Speaker 13>that experience better. We spoke on the call this morning

0:38:00.080 --> 0:38:04.880
<v Speaker 13>about combining generator of AI from a merchandising perspective with

0:38:05.080 --> 0:38:08.800
<v Speaker 13>actually human designers. And for folks that landed on those

0:38:08.880 --> 0:38:11.880
<v Speaker 13>SKUs that were the combo of the boat, we saw

0:38:12.320 --> 0:38:15.360
<v Speaker 13>a third uplift and sort of engagement with that skew.

0:38:15.719 --> 0:38:18.040
<v Speaker 13>That's really exciting because that means that sku is probably

0:38:18.040 --> 0:38:19.960
<v Speaker 13>far more relevant to you than where you were going

0:38:19.960 --> 0:38:20.680
<v Speaker 13>to land before.

0:38:20.960 --> 0:38:23.960
<v Speaker 4>That was wayfair cfo K Gulliver joining us from Boston.

0:38:24.360 --> 0:38:27.080
<v Speaker 4>After earnings, many financial firms raise their price targets on

0:38:27.120 --> 0:38:31.040
<v Speaker 4>the stock, including Goldman, Sacks, JP, Morgan, Stiefel, City, Needham

0:38:31.120 --> 0:38:31.600
<v Speaker 4>and more.

0:38:31.880 --> 0:38:33.480
<v Speaker 3>And that wraps up our first hour of the weekend

0:38:33.600 --> 0:38:36.480
<v Speaker 3>edition of Bloomberg Business Week from Bloomberg Radio Ahead. In

0:38:36.520 --> 0:38:39.600
<v Speaker 3>our next sixty minutes, Jimmy Wales, the founder of Wikipedia,

0:38:39.640 --> 0:38:43.520
<v Speaker 3>on building trust in today's very skeptical world.

0:38:43.880 --> 0:38:48.600
<v Speaker 4>Plus where's the beef Next? Yeah, we catch up with

0:38:48.640 --> 0:38:51.680
<v Speaker 4>the founder and CEO of the jerky company Archer and

0:38:51.760 --> 0:38:52.120
<v Speaker 4>the New.

0:38:52.040 --> 0:38:55.200
<v Speaker 3>York City Marathon yep, it is running this weekend. An

0:38:55.239 --> 0:38:58.800
<v Speaker 3>inside view from one runner and the individual behind the event.

0:38:58.920 --> 0:39:00.960
<v Speaker 3>By the way, he's already were working on next year's.

0:39:01.200 --> 0:39:03.719
<v Speaker 3>This is Bloomberg Business Week. I'm Carol Masser and.

0:39:03.680 --> 0:39:06.840
<v Speaker 4>I'm Tim Stenovek. Stay with us. More from Bloomberg Business

0:39:06.840 --> 0:39:13.400
<v Speaker 4>Week Daily coming up after this.

0:39:13.400 --> 0:39:17.759
<v Speaker 2>This is Bloomberg Business Week Daily, reporting from the magazine

0:39:17.760 --> 0:39:22.360
<v Speaker 2>that helps global leaders stay ahead. With insight on the people, companies,

0:39:22.400 --> 0:39:27.280
<v Speaker 2>and trends shaping today's complex economy. Plus global business, finance

0:39:27.320 --> 0:39:30.879
<v Speaker 2>and tech news as it happens. Bloomberg Business Week Daily

0:39:31.200 --> 0:39:36.600
<v Speaker 2>with Carol Masser and Tim Stenevek on Bloomberg Radio Funny Ahead.

0:39:36.360 --> 0:39:38.440
<v Speaker 3>In our second hour of the weekend edition of Bloomberg

0:39:38.480 --> 0:39:42.560
<v Speaker 3>Business Week, Including protein is the New nutrition fad, We

0:39:42.600 --> 0:39:45.040
<v Speaker 3>talk with the founder of a grass fed beef and

0:39:45.160 --> 0:39:48.960
<v Speaker 3>all natural Turkey beef stick company say that five times fast.

0:39:49.120 --> 0:39:50.480
<v Speaker 4>I was going to and then I decided not.

0:39:50.920 --> 0:39:51.799
<v Speaker 3>It's a tough line.

0:39:52.480 --> 0:39:55.600
<v Speaker 4>Plus it's one of the world's biggest races. The CEO

0:39:55.760 --> 0:39:58.319
<v Speaker 4>of New York road Runners talks about putting on the

0:39:58.360 --> 0:40:01.560
<v Speaker 4>New York City Marathon. It is how opening this weekend.

0:40:01.640 --> 0:40:04.279
<v Speaker 3>It is indeed first up this hour. Wikipedia has a

0:40:04.360 --> 0:40:08.960
<v Speaker 3>unique place in online culture, before AI, before chat ChiPT

0:40:09.360 --> 0:40:11.200
<v Speaker 3>if you needed a quick place to get an overview

0:40:11.239 --> 0:40:15.040
<v Speaker 3>on almost any topic, you go to Google, and then

0:40:15.080 --> 0:40:18.200
<v Speaker 3>you'd click on Wikipedia. It's almost too good to be true.

0:40:18.200 --> 0:40:22.120
<v Speaker 3>In today's world. It is built on trust and community

0:40:22.800 --> 0:40:24.080
<v Speaker 3>all online.

0:40:24.560 --> 0:40:26.960
<v Speaker 4>We talk about it a lot in media, in business

0:40:26.960 --> 0:40:30.400
<v Speaker 4>with friends and family, and most definitely in politics. Jimmy

0:40:30.400 --> 0:40:33.040
<v Speaker 4>Whale's founder of Wikipedia, knows a thing or two about trust.

0:40:33.200 --> 0:40:35.120
<v Speaker 4>He's got a new book out. It's called These Seven

0:40:35.200 --> 0:40:38.080
<v Speaker 4>Rules of Trust, a Blueprint for building Things that Last.

0:40:38.360 --> 0:40:40.120
<v Speaker 4>We sat down with them this week in the Bloomberg

0:40:40.160 --> 0:40:43.080
<v Speaker 4>Business Week Daily Studio, and we wanted to know why

0:40:43.120 --> 0:40:46.160
<v Speaker 4>Wikipedia works in a world where so many people don't

0:40:46.200 --> 0:40:48.680
<v Speaker 4>trust one another, and they don't trust what they see.

0:40:49.200 --> 0:40:51.520
<v Speaker 4>That issue of trust is something he's been thinking about.

0:40:51.840 --> 0:40:55.520
<v Speaker 14>It was a couple of years ago I had had

0:40:55.560 --> 0:41:00.040
<v Speaker 14>some ideas around this, and yeah, just just started and

0:41:00.080 --> 0:41:03.560
<v Speaker 14>it's obviously turned out to be quite timely, as we

0:41:03.600 --> 0:41:06.719
<v Speaker 14>have a lot of issues around trust in society, and

0:41:07.560 --> 0:41:09.600
<v Speaker 14>you know, I want to encourage people to let's get

0:41:09.640 --> 0:41:11.720
<v Speaker 14>back to society of trust.

0:41:12.280 --> 0:41:12.440
<v Speaker 8>You know.

0:41:12.480 --> 0:41:14.160
<v Speaker 4>It's funny, Carolyn, I spent a lot of time talking

0:41:14.200 --> 0:41:18.080
<v Speaker 4>about this ahead of the interview because Wikipedia sort of

0:41:18.080 --> 0:41:20.399
<v Speaker 4>seems and look, it's had its challenges. Of course, it's

0:41:20.400 --> 0:41:25.200
<v Speaker 4>had its controversies, but for things that are online, it's

0:41:25.280 --> 0:41:27.080
<v Speaker 4>kind of as weird utopia.

0:41:26.840 --> 0:41:28.640
<v Speaker 3>In the sense that it's kind of remarkable.

0:41:29.000 --> 0:41:33.080
<v Speaker 4>It's really remarkable. I mean, we know anonymous people online

0:41:33.160 --> 0:41:35.440
<v Speaker 4>are oftentimes are full of bitrio and hate. We can

0:41:35.480 --> 0:41:38.560
<v Speaker 4>see that even when people use their names on social

0:41:38.600 --> 0:41:42.280
<v Speaker 4>media platforms. We lock our doors when we leave the house.

0:41:42.920 --> 0:41:46.960
<v Speaker 4>Why does trust work on Wikipedia? But kind of seems

0:41:47.000 --> 0:41:48.080
<v Speaker 4>like nowhere else right now?

0:41:48.360 --> 0:41:50.200
<v Speaker 14>Yeah, I mean I think for me, you know, one

0:41:50.200 --> 0:41:53.480
<v Speaker 14>of the seven rules of trust that is most meaningful

0:41:53.520 --> 0:41:56.640
<v Speaker 14>in that regard is purpose. Like Wikipedia has a very

0:41:56.640 --> 0:41:59.840
<v Speaker 14>simple purpose, which is to build an encyclopedia, and we

0:41:59.840 --> 0:42:03.240
<v Speaker 14>may all our decisions around that, and the rules about

0:42:03.320 --> 0:42:07.080
<v Speaker 14>participation and so forth. And that's very different from social media,

0:42:07.120 --> 0:42:10.560
<v Speaker 14>where there isn't a clear purpose other than free speech

0:42:10.560 --> 0:42:16.720
<v Speaker 14>and openness, and therefore that toxicity really creeps in quite

0:42:16.760 --> 0:42:20.280
<v Speaker 14>a lot in social media. You know, people say outrageous

0:42:20.360 --> 0:42:23.240
<v Speaker 14>things because they get rewarded for it. They get more followers,

0:42:23.239 --> 0:42:26.080
<v Speaker 14>they get more engagement, and they algorithms love that.

0:42:26.120 --> 0:42:27.560
<v Speaker 3>You talk about clickbait all the time.

0:42:27.480 --> 0:42:30.920
<v Speaker 14>Clickbait all the time, And you know, that's very different

0:42:30.920 --> 0:42:33.320
<v Speaker 14>from the world of Wikipedia, where I mean, thank goodness,

0:42:33.320 --> 0:42:35.480
<v Speaker 14>our headlines are so boring.

0:42:35.520 --> 0:42:36.320
<v Speaker 4>There's no clickbait.

0:42:36.360 --> 0:42:39.640
<v Speaker 14>You know, it's like the erical on Thomas Jefferson's called

0:42:39.840 --> 0:42:42.319
<v Speaker 14>Thomas Jefferson, you know, but it does what it says

0:42:42.320 --> 0:42:43.920
<v Speaker 14>on the den. You know, that's a that's a very

0:42:43.920 --> 0:42:47.279
<v Speaker 14>British expression, afraid. But but yeah, I mean, I do

0:42:47.320 --> 0:42:50.040
<v Speaker 14>think that that having a simple purpose is a part

0:42:50.040 --> 0:42:52.840
<v Speaker 14>of what keeps us focused and keeps our community focused.

0:42:53.040 --> 0:42:56.040
<v Speaker 3>How do you describe facts? How do you determine facts?

0:42:56.040 --> 0:42:59.279
<v Speaker 3>And I am amazed in I mean, I've been doing

0:42:59.280 --> 0:43:03.000
<v Speaker 3>this a few years and I felt like when I started,

0:43:03.040 --> 0:43:06.239
<v Speaker 3>it was very clear fact versus ficion in terms of

0:43:06.600 --> 0:43:09.799
<v Speaker 3>reporting and doing stories. And I feel like there's a

0:43:09.800 --> 0:43:11.480
<v Speaker 3>lot of great area and I just feel like a

0:43:11.560 --> 0:43:14.120
<v Speaker 3>fact is a fact. So how do you guys determine

0:43:14.160 --> 0:43:15.319
<v Speaker 3>what's a fact in an entry?

0:43:15.400 --> 0:43:17.840
<v Speaker 14>Yeah, I mean we're really old fashioned, Like what we

0:43:17.920 --> 0:43:21.680
<v Speaker 14>look for are reliable sources. So we want, you know,

0:43:22.840 --> 0:43:28.480
<v Speaker 14>sort of academic research or quality newspapers, quality magazines, quality books.

0:43:29.760 --> 0:43:34.160
<v Speaker 14>Really old fashioned and you know, the idea that we

0:43:34.160 --> 0:43:37.120
<v Speaker 14>should treat you know, the New England Journal of Medicine

0:43:37.160 --> 0:43:40.719
<v Speaker 14>as the same as social media influence our line is

0:43:40.760 --> 0:43:43.839
<v Speaker 14>obviously just wrong. Like you really want facts, and that's

0:43:43.840 --> 0:43:45.400
<v Speaker 14>what people want from Wikipedia.

0:43:45.440 --> 0:43:46.360
<v Speaker 4>They don't want.

0:43:47.239 --> 0:43:48.239
<v Speaker 3>Sources matter us.

0:43:48.400 --> 0:43:51.920
<v Speaker 14>Sources really matter, Like having a good quality source is

0:43:51.960 --> 0:43:52.720
<v Speaker 14>what it's all about.

0:43:52.920 --> 0:43:56.400
<v Speaker 3>But why don't sources matter to everybody? And other people

0:43:56.440 --> 0:44:01.960
<v Speaker 3>will say, Okay, I believe this source is reliable, so

0:44:02.120 --> 0:44:03.920
<v Speaker 3>like you know what I mean, like when we're living

0:44:03.960 --> 0:44:04.399
<v Speaker 3>in like.

0:44:04.560 --> 0:44:07.239
<v Speaker 14>Different worlds, I think, I think, and I think that's

0:44:07.239 --> 0:44:10.239
<v Speaker 14>a huge problem. I mean, I do think, you know,

0:44:10.600 --> 0:44:13.000
<v Speaker 14>it's really important. I mean one of the problems that

0:44:13.040 --> 0:44:15.759
<v Speaker 14>we've seen is that a lot of the media, in

0:44:15.800 --> 0:44:20.799
<v Speaker 14>response to the changing and very difficult financial model for journalism,

0:44:21.280 --> 0:44:24.680
<v Speaker 14>they've chased after a really partisan audiences, and so, you know,

0:44:24.760 --> 0:44:28.680
<v Speaker 14>sometimes you read something and you're like, yeah, that was

0:44:28.760 --> 0:44:30.560
<v Speaker 14>that was interesting, that was good, But I'm not sure

0:44:30.640 --> 0:44:33.319
<v Speaker 14>I got both sides of the story there. I live

0:44:33.360 --> 0:44:35.880
<v Speaker 14>in the UK and we have a just an example,

0:44:35.960 --> 0:44:39.319
<v Speaker 14>two quality newspapers, the Guardian and the Telegraph, left leaning,

0:44:39.400 --> 0:44:42.799
<v Speaker 14>right leaning. They're both great newspapers. But I often read

0:44:42.800 --> 0:44:44.799
<v Speaker 14>one and I'm like, oh, but and then I go

0:44:44.840 --> 0:44:46.760
<v Speaker 14>read the other and I'm like, yeah, you probably should

0:44:46.760 --> 0:44:49.480
<v Speaker 14>have been somewhere in the middle, both of you, and

0:44:49.520 --> 0:44:51.719
<v Speaker 14>it would have been I think a better story had

0:44:51.760 --> 0:44:54.680
<v Speaker 14>you said, well, you know, we got one side of

0:44:54.680 --> 0:44:56.920
<v Speaker 14>the story, but we actually had to go out and

0:44:57.000 --> 0:44:59.120
<v Speaker 14>find somebody to tell us a little bit about the others.

0:44:59.160 --> 0:45:02.000
<v Speaker 14>And you know, you can't be to like the moon

0:45:02.160 --> 0:45:03.640
<v Speaker 14>is made of rocks or is it cheese?

0:45:03.680 --> 0:45:04.040
<v Speaker 4>Who knows?

0:45:04.080 --> 0:45:08.040
<v Speaker 14>I don't mean that, but seriously hopefully geez. But but

0:45:08.080 --> 0:45:10.600
<v Speaker 14>you know, like seriously thinking about like who are we

0:45:10.640 --> 0:45:12.200
<v Speaker 14>talking to and are we are we getting to the

0:45:12.239 --> 0:45:12.799
<v Speaker 14>bottom of this.

0:45:13.520 --> 0:45:16.080
<v Speaker 4>With media, with trust and media here in the United

0:45:16.080 --> 0:45:18.600
<v Speaker 4>States declining and having declined over the last few years,

0:45:19.239 --> 0:45:21.400
<v Speaker 4>in your view, is there something that we can do

0:45:21.440 --> 0:45:23.279
<v Speaker 4>better that the media can do better that it can

0:45:23.320 --> 0:45:26.200
<v Speaker 4>borrow from what has worked at Wikipedia, what has worked

0:45:26.239 --> 0:45:28.640
<v Speaker 4>with the trust, the methods of trust that you've studied,

0:45:28.920 --> 0:45:31.719
<v Speaker 4>that can make us build trust again with our audiences.

0:45:31.880 --> 0:45:32.080
<v Speaker 13>Yeah.

0:45:32.080 --> 0:45:34.480
<v Speaker 14>I mean, well, the good news is that the financial press,

0:45:34.719 --> 0:45:38.200
<v Speaker 14>like Bloomberg, is still among the most trusted. And I

0:45:38.200 --> 0:45:41.560
<v Speaker 14>think that's because by the mandate of what you're trying

0:45:41.560 --> 0:45:44.480
<v Speaker 14>to do informing business people and investors, you have to

0:45:44.520 --> 0:45:48.560
<v Speaker 14>be like ruthlessly objective. You're not chasing after partisan audiences

0:45:48.560 --> 0:45:50.080
<v Speaker 14>and things like that. But I do think we gets

0:45:50.120 --> 0:45:53.920
<v Speaker 14>up data, big data. Data is important transparency. I think,

0:45:54.200 --> 0:45:57.840
<v Speaker 14>you know, realistically, you know, one of the things that

0:45:57.840 --> 0:46:00.799
<v Speaker 14>Wikipedia does that's kind of odd is we'll have a

0:46:01.080 --> 0:46:02.920
<v Speaker 14>you know, at the top of a page the neutrality

0:46:02.960 --> 0:46:05.279
<v Speaker 14>of this article has been disputed, and I we've all

0:46:05.320 --> 0:46:05.600
<v Speaker 14>seen it.

0:46:05.760 --> 0:46:06.560
<v Speaker 6>Yeah, we've all seen it.

0:46:06.560 --> 0:46:08.399
<v Speaker 14>And I always say, you know, I kind of wish

0:46:08.480 --> 0:46:10.319
<v Speaker 14>sometimes the New York Times would put a banner up

0:46:10.480 --> 0:46:12.120
<v Speaker 14>just saying, you know, we had a big fight.

0:46:12.040 --> 0:46:12.600
<v Speaker 6>In the newsroom.

0:46:12.600 --> 0:46:16.399
<v Speaker 14>We weren't quite sure, so we decided to this. But yeah, yeah,

0:46:16.400 --> 0:46:18.600
<v Speaker 14>but here's a little bit of their inside thinking, like

0:46:18.640 --> 0:46:20.640
<v Speaker 14>we did want to report this, We're not sure we've

0:46:20.640 --> 0:46:24.000
<v Speaker 14>got the full story yet, because that pretending to be

0:46:24.360 --> 0:46:27.279
<v Speaker 14>perfection all the time. People see through that, and they know,

0:46:27.520 --> 0:46:30.400
<v Speaker 14>of course, and I think they're willing to say, yeah, like, actually,

0:46:30.440 --> 0:46:32.799
<v Speaker 14>journalism is quite hard, you know, so a little more

0:46:32.800 --> 0:46:34.000
<v Speaker 14>transparency is always good.

0:46:34.360 --> 0:46:38.920
<v Speaker 3>Do you get pressure a lot from companies, politicians, individuals

0:46:39.600 --> 0:46:40.919
<v Speaker 3>to like change an entry?

0:46:41.080 --> 0:46:41.319
<v Speaker 13>No?

0:46:41.400 --> 0:46:41.839
<v Speaker 6>Not really.

0:46:41.840 --> 0:46:43.680
<v Speaker 14>I mean people, Uh, you know, I meet a lot

0:46:43.680 --> 0:46:45.319
<v Speaker 14>of people and people often are like, well, you know

0:46:45.360 --> 0:46:47.160
<v Speaker 14>my Wikipedia entry, what about this?

0:46:47.200 --> 0:46:47.600
<v Speaker 4>What about that?

0:46:48.280 --> 0:46:50.000
<v Speaker 14>Yeah, send us an email, like you know, we'll have

0:46:50.040 --> 0:46:52.480
<v Speaker 14>somebody look at that. That's all fine in general. Note

0:46:52.440 --> 0:46:53.240
<v Speaker 14>and actually we're.

0:46:53.120 --> 0:46:55.320
<v Speaker 4>Very you really to say, just send them an email

0:46:55.360 --> 0:46:56.560
<v Speaker 4>and I'm not going to do anything about it.

0:46:57.000 --> 0:46:59.400
<v Speaker 14>Kind of yeah, okay, but no, sometimes people have a

0:46:59.480 --> 0:47:01.480
<v Speaker 14>legitimate point. They're like, oh, well, you know I did

0:47:01.520 --> 0:47:03.000
<v Speaker 14>this thing and it was in the press, and you

0:47:03.080 --> 0:47:04.880
<v Speaker 14>know it's like, okay, well maybe we just overlooked it,

0:47:04.920 --> 0:47:07.759
<v Speaker 14>and that's that's great, But you know they at a

0:47:07.920 --> 0:47:10.680
<v Speaker 14>deeper level. One of the things that's really important is,

0:47:11.560 --> 0:47:15.120
<v Speaker 14>you know, we aren't funded by governments, we aren't funded

0:47:15.120 --> 0:47:18.719
<v Speaker 14>by sort of major donors. We're funded by people giving

0:47:18.719 --> 0:47:21.840
<v Speaker 14>their twenty dollars and that makes a big difference for

0:47:21.880 --> 0:47:25.399
<v Speaker 14>our intellectual independence. We're not worried like if we've got

0:47:25.440 --> 0:47:28.400
<v Speaker 14>something negative about whatever, then we might lose our donation.

0:47:28.920 --> 0:47:31.400
<v Speaker 4>How is how is the fundraising going? Because I feel

0:47:31.400 --> 0:47:33.360
<v Speaker 4>like I've gotten a lot of messages from you throughout

0:47:33.360 --> 0:47:37.000
<v Speaker 4>the years, through the from Jimmy Wills on Wikipedia, We've

0:47:37.000 --> 0:47:38.880
<v Speaker 4>all seen it. We're all is it going okay? Is

0:47:38.880 --> 0:47:39.760
<v Speaker 4>funding going? Okay?

0:47:39.800 --> 0:47:40.240
<v Speaker 6>It's okay.

0:47:40.320 --> 0:47:43.600
<v Speaker 14>Yeah, We've we've been h you know, we're stable, We're

0:47:43.719 --> 0:47:46.280
<v Speaker 14>very cautious with money, so we always try to build

0:47:46.280 --> 0:47:49.040
<v Speaker 14>our reserves and so on. And then you know, recently,

0:47:49.160 --> 0:47:52.799
<v Speaker 14>I don't know, Elon tweeted defund Wikipedia. I think we

0:47:52.880 --> 0:47:54.480
<v Speaker 14>were about five million dollars that day.

0:47:54.560 --> 0:47:56.319
<v Speaker 6>So you know, so you can text us.

0:47:56.640 --> 0:47:58.520
<v Speaker 4>You know, you guys have been in touch you and say,

0:47:58.520 --> 0:47:59.399
<v Speaker 4>tweet about us again.

0:48:01.239 --> 0:48:03.360
<v Speaker 3>Well, you have had some convers raise money. You have

0:48:03.480 --> 0:48:06.400
<v Speaker 3>had some conversations with Elon over the years. All right,

0:48:06.400 --> 0:48:08.880
<v Speaker 3>we're continuing at Jimmy Wales, founder of Wikipedia. He's got

0:48:08.880 --> 0:48:11.200
<v Speaker 3>a new book out, it's out tomorrow, The Seven Rules

0:48:11.200 --> 0:48:16.160
<v Speaker 3>of Trust, a blueprint for building things that last. Elon Musk,

0:48:16.520 --> 0:48:19.719
<v Speaker 3>You've had an ongoing relationship or text relationship with him.

0:48:19.719 --> 0:48:21.480
<v Speaker 14>I've known him for years.

0:48:21.520 --> 0:48:25.440
<v Speaker 3>Actually, now anything old, aren't we all? I like to think,

0:48:25.520 --> 0:48:28.480
<v Speaker 3>like a fine wine just getting better. But he has

0:48:28.520 --> 0:48:31.719
<v Speaker 3>talked about defunding Wikipedia, and you said, you know that

0:48:31.800 --> 0:48:33.800
<v Speaker 3>has brought in a lot of money, So thank you, Elon.

0:48:34.320 --> 0:48:36.399
<v Speaker 3>What are the conversations that you've had with him back

0:48:36.400 --> 0:48:36.920
<v Speaker 3>and forth?

0:48:37.960 --> 0:48:41.640
<v Speaker 14>I mean, you know, he believes Wikipedia has become Wikipedia,

0:48:41.840 --> 0:48:45.960
<v Speaker 14>which is not true. And you know, I encourage him

0:48:46.000 --> 0:48:48.720
<v Speaker 14>to sort of a better messages.

0:48:48.360 --> 0:48:50.680
<v Speaker 6>To say, if you feel like Wikipedia.

0:48:50.200 --> 0:48:53.200
<v Speaker 14>Has got some bias, encourage people to come and participate

0:48:53.239 --> 0:48:55.239
<v Speaker 14>people who agree with you. Don't paint us as like,

0:48:55.440 --> 0:48:58.000
<v Speaker 14>oh they've gone their crazy left wing activists or something

0:48:58.000 --> 0:49:01.000
<v Speaker 14>we aren't. And by the way, he's so encouraging crazy

0:49:01.000 --> 0:49:03.080
<v Speaker 14>lifting activists to come and bother us, and that's not

0:49:03.120 --> 0:49:07.480
<v Speaker 14>good either. So you know, realistically, I can't predict what

0:49:07.680 --> 0:49:09.960
<v Speaker 14>Elon's going to say or do. He's Elon. You know,

0:49:10.040 --> 0:49:10.879
<v Speaker 14>he does what he likes.

0:49:10.920 --> 0:49:14.400
<v Speaker 3>Well, what's he like? One on one? You were and

0:49:14.480 --> 0:49:17.239
<v Speaker 3>work to be fully transparent. We listened to a podcast

0:49:17.280 --> 0:49:19.360
<v Speaker 3>and I think you brought up something about like Elon

0:49:19.440 --> 0:49:22.680
<v Speaker 3>one on one versus Elon. He's always been per former.

0:49:22.760 --> 0:49:24.920
<v Speaker 14>Yeah, he's always been very nice to me in private

0:49:24.920 --> 0:49:27.759
<v Speaker 14>and you know, civil and so forth. And I've met

0:49:27.840 --> 0:49:30.279
<v Speaker 14>him in person a few times, and yeah, and then

0:49:30.320 --> 0:49:32.960
<v Speaker 14>he's a huge public persona and a huge public character,

0:49:33.040 --> 0:49:35.759
<v Speaker 14>and sometimes I just I slightly ignore that because I'm like, oh,

0:49:35.800 --> 0:49:38.200
<v Speaker 14>he's just being elon in public. If I ran into him,

0:49:38.239 --> 0:49:39.680
<v Speaker 14>I think we would have a very friendly chat.

0:49:40.680 --> 0:49:44.040
<v Speaker 4>You know. Over the last twenty plus years, Wikipedia has

0:49:44.080 --> 0:49:48.719
<v Speaker 4>had has kind of lived on despite massive changes with technology.

0:49:48.719 --> 0:49:50.680
<v Speaker 4>We're undergoing one right now with AI and the way

0:49:50.680 --> 0:49:53.640
<v Speaker 4>that people are using lms. You have said that you

0:49:53.680 --> 0:49:57.000
<v Speaker 4>are building Wikipedia to last one hundred more years. How

0:49:57.000 --> 0:49:58.439
<v Speaker 4>do you ensure that you do that when you don't

0:49:58.440 --> 0:49:59.879
<v Speaker 4>even know what technology will be around?

0:50:00.440 --> 0:50:01.960
<v Speaker 6>Well, it's true, we have no idea.

0:50:02.160 --> 0:50:06.640
<v Speaker 14>So all we can do is preserve our intellectual independence,

0:50:06.760 --> 0:50:08.520
<v Speaker 14>keep an eye on the finances, to make sure we're

0:50:08.520 --> 0:50:12.399
<v Speaker 14>not vulnerable, uh, you know, be open and keep our

0:50:12.440 --> 0:50:15.520
<v Speaker 14>community's mind open and active to say, oh, how do

0:50:15.560 --> 0:50:17.480
<v Speaker 14>we adapt to new technology? Is there things here we

0:50:17.480 --> 0:50:21.040
<v Speaker 14>could use? What can we do to preserve our mission,

0:50:21.040 --> 0:50:22.520
<v Speaker 14>which is free knowledge for everyone?

0:50:22.719 --> 0:50:25.080
<v Speaker 4>That was Jimmy Wales, the founder of Wikipedia, on his

0:50:25.320 --> 0:50:28.319
<v Speaker 4>new book, The Seven Rules of Trust, a blueprint for

0:50:28.360 --> 0:50:29.480
<v Speaker 4>building things that last.

0:50:29.719 --> 0:50:32.520
<v Speaker 3>You're listening to Bloomberg Business Week coming up. Got to

0:50:32.560 --> 0:50:35.840
<v Speaker 3>get the protein in as many ways as possible. Everybody's

0:50:35.840 --> 0:50:36.600
<v Speaker 3>talking about protein.

0:50:36.600 --> 0:50:36.960
<v Speaker 4>I don't know.

0:50:37.000 --> 0:50:39.160
<v Speaker 3>I grew up with my family like you always had protein,

0:50:39.239 --> 0:50:41.520
<v Speaker 3>Like you knew that that was part of a healthy diet.

0:50:41.560 --> 0:50:44.759
<v Speaker 3>But anyway, did you see we got what protein? And

0:50:44.800 --> 0:50:45.400
<v Speaker 3>pop tarts?

0:50:45.880 --> 0:50:46.160
<v Speaker 4>Yeah?

0:50:46.200 --> 0:50:47.080
<v Speaker 3>Well I don't even get that.

0:50:47.160 --> 0:50:48.759
<v Speaker 4>Okay, we did, sorry pop tarts. But there's all that,

0:50:49.040 --> 0:50:52.760
<v Speaker 4>like the even the nice like organic quote unquote organic

0:50:52.800 --> 0:50:55.879
<v Speaker 4>fig bars have protein. They have a new version out

0:50:55.880 --> 0:50:58.120
<v Speaker 4>with extra protein. It's all about the GLP ones. What

0:50:58.239 --> 0:50:59.960
<v Speaker 4>is I know exactly we want their protein?

0:51:00.200 --> 0:51:02.799
<v Speaker 3>Anyway, on this we had a great conversation. We caught

0:51:02.880 --> 0:51:05.440
<v Speaker 3>up with Eugene Kang. He is founder and CEO of

0:51:05.440 --> 0:51:09.400
<v Speaker 3>the meat stick company Archer Meat. I ate actually a

0:51:09.480 --> 0:51:09.960
<v Speaker 3>meat sticky.

0:51:10.080 --> 0:51:12.279
<v Speaker 4>You didn't get you a conversation. I went upstairs. I

0:51:12.280 --> 0:51:13.920
<v Speaker 4>got meat sticks for everybody?

0:51:13.960 --> 0:51:14.200
<v Speaker 6>Did.

0:51:15.080 --> 0:51:15.920
<v Speaker 3>This is Bloomberg.

0:51:19.560 --> 0:51:23.759
<v Speaker 2>This is Bloomberg Business Week Daily with Carol Masser and

0:51:23.800 --> 0:51:26.360
<v Speaker 2>Tim Steneveek on Bloomberg Radio.

0:51:27.560 --> 0:51:31.520
<v Speaker 4>Protein. In the words of Derek Zulander, so hot.

0:51:31.320 --> 0:51:33.760
<v Speaker 3>Right now or Paris Hilton, that's hot.

0:51:34.480 --> 0:51:35.959
<v Speaker 4>We don't know if you saw this last week, Carol,

0:51:36.000 --> 0:51:37.680
<v Speaker 4>but I know you did. Actually, I know you saw

0:51:37.680 --> 0:51:40.080
<v Speaker 4>this because you mentioned it earlier. I did the protein

0:51:40.120 --> 0:51:44.960
<v Speaker 4>and the pop tarts. Yeah, yeah, bizarre, listen, but I

0:51:45.080 --> 0:51:46.040
<v Speaker 4>protein pop tarts.

0:51:46.080 --> 0:51:48.160
<v Speaker 3>But I do feel like we're turning around products and

0:51:48.160 --> 0:51:52.239
<v Speaker 3>we're looking for some key things like fiber or protein

0:51:52.600 --> 0:51:54.880
<v Speaker 3>or you know what I'm saying, Yeah, some vitamins or something.

0:51:54.880 --> 0:51:56.640
<v Speaker 3>We are doing that by protein and everything.

0:51:56.680 --> 0:51:59.480
<v Speaker 4>What PepsiCo said they have plans for a higher protein

0:51:59.560 --> 0:52:00.440
<v Speaker 4>version of ritos.

0:52:00.960 --> 0:52:03.440
<v Speaker 3>I mean, come on, come on.

0:52:03.640 --> 0:52:06.399
<v Speaker 4>Okay, Elsewhere protein is being outed to popcorn, pasta, bread,

0:52:06.440 --> 0:52:09.919
<v Speaker 4>cookie dough, ice cream, and macaroni and cheese. I kind

0:52:09.920 --> 0:52:12.200
<v Speaker 4>of want to go old school though, the original source

0:52:12.239 --> 0:52:12.680
<v Speaker 4>of protein.

0:52:12.760 --> 0:52:14.400
<v Speaker 3>We talked about this a lot in the newsroom today.

0:52:14.920 --> 0:52:17.120
<v Speaker 4>Ganga is all about this. He's found in ceo of Archer.

0:52:17.160 --> 0:52:19.520
<v Speaker 4>It makes meat sticks from grass fed beef and all

0:52:19.600 --> 0:52:24.440
<v Speaker 4>natural turkey. He joins us from LA talk about timing, Eugene.

0:52:24.960 --> 0:52:28.000
<v Speaker 4>How are you leaning into the protein craze right now?

0:52:28.560 --> 0:52:29.240
<v Speaker 4>Is this what people?

0:52:30.400 --> 0:52:30.640
<v Speaker 6>Yeah?

0:52:30.680 --> 0:52:34.839
<v Speaker 15>Thanks for having me on, Tim McCarroll and yeah, absolutely protein. Look,

0:52:34.880 --> 0:52:38.400
<v Speaker 15>it's been around for a while, and particularly meat snacks

0:52:38.400 --> 0:52:41.040
<v Speaker 15>and protein is the hottest sort of trend right now,

0:52:41.080 --> 0:52:43.239
<v Speaker 15>and we're really we're really proud of the fact that,

0:52:43.280 --> 0:52:45.560
<v Speaker 15>you know, meat snacks is kind of an original kind

0:52:45.560 --> 0:52:47.960
<v Speaker 15>of source right of protein, and you don't have to

0:52:48.000 --> 0:52:50.120
<v Speaker 15>add necessarily protein to it like some of the other

0:52:50.200 --> 0:52:51.880
<v Speaker 15>innovations that you guys got to noted earlier.

0:52:52.239 --> 0:52:56.160
<v Speaker 4>So we we know you are the official meat snack

0:52:56.239 --> 0:53:01.360
<v Speaker 4>partner of the La Dodgers. You're a Dodger fan. Dodgers

0:53:01.400 --> 0:53:06.240
<v Speaker 4>are playing tonight Game one of the World Series. Ellie

0:53:06.280 --> 0:53:09.239
<v Speaker 4>Dodgers at Toronto Blue Jays your startup though, How did

0:53:09.239 --> 0:53:10.560
<v Speaker 4>the partnership come together like this?

0:53:11.920 --> 0:53:14.399
<v Speaker 15>Yeah, you know, we there was a couple of other

0:53:14.680 --> 0:53:17.600
<v Speaker 15>consumer brands that were partnered with the Dodgers last year,

0:53:18.239 --> 0:53:20.719
<v Speaker 15>most notably health Fate Kombucha, which is one of the

0:53:20.760 --> 0:53:23.600
<v Speaker 15>largest kombucha brands in the country. So we had kind

0:53:23.640 --> 0:53:26.080
<v Speaker 15>of reached out to the Dodgers saying, hey, look, we're

0:53:26.120 --> 0:53:30.640
<v Speaker 15>looking to build potentially a bigger production facility in LA.

0:53:31.239 --> 0:53:33.880
<v Speaker 15>We're growing our business pretty rapidly, doesn't make sense to

0:53:33.960 --> 0:53:36.520
<v Speaker 15>kind of partner up, and they absolutely loved it.

0:53:36.560 --> 0:53:37.480
<v Speaker 16>Thought it was a great idea.

0:53:37.560 --> 0:53:40.400
<v Speaker 15>So I got to work quickly on a partnership framework

0:53:40.640 --> 0:53:43.560
<v Speaker 15>earlier in the year around spring training, and you know,

0:53:43.680 --> 0:53:45.239
<v Speaker 15>kind of summit to it right before the season starts.

0:53:45.280 --> 0:53:46.719
<v Speaker 4>Do you guys pay for that or do you offer

0:53:46.760 --> 0:53:50.000
<v Speaker 4>a deal on like Like I've always wondered how the

0:53:50.000 --> 0:53:51.960
<v Speaker 4>finances of this stuff works. Take us into the numbers.

0:53:52.000 --> 0:53:54.640
<v Speaker 15>Yeah, yeah, I know, we do pay for it, but

0:53:54.719 --> 0:53:57.880
<v Speaker 15>in return, we obviously get you know, advertisement throughout the stadium,

0:53:58.280 --> 0:54:01.840
<v Speaker 15>products sold in the concession stand, available in the clubhouse.

0:54:01.840 --> 0:54:04.080
<v Speaker 15>So I think there's a few notable Dodgers that are

0:54:04.080 --> 0:54:09.160
<v Speaker 15>probably eating our protein snacks as well. And you know,

0:54:09.200 --> 0:54:11.160
<v Speaker 15>we also get to use sort of their collateral or

0:54:11.200 --> 0:54:13.640
<v Speaker 15>their assets on a lot of more collateral for the

0:54:13.680 --> 0:54:17.239
<v Speaker 15>broader Southern California market, whether it's displays or any kind

0:54:17.280 --> 0:54:18.200
<v Speaker 15>of retail programming.

0:54:18.480 --> 0:54:21.080
<v Speaker 3>Hey, talk to us more broadly, because you guys are

0:54:21.080 --> 0:54:26.040
<v Speaker 3>in Costco, Whole Foods, Walmart, Starbucks, Targets seven eleven. I mean,

0:54:26.080 --> 0:54:27.440
<v Speaker 3>if we're on a road trip, I mean that is

0:54:27.440 --> 0:54:30.600
<v Speaker 3>certainly one of the snacks people pick up. Talk to

0:54:30.680 --> 0:54:34.000
<v Speaker 3>us about the growth that you are seeing in the marketplace.

0:54:35.320 --> 0:54:36.719
<v Speaker 16>Yeah, the growth has been incredible.

0:54:37.160 --> 0:54:39.400
<v Speaker 3>What's incredible. We love numbers here.

0:54:39.400 --> 0:54:42.160
<v Speaker 15>We're growing one hundred percent year every year. You know,

0:54:43.080 --> 0:54:45.719
<v Speaker 15>you know, we're approaching close to over five hundred million

0:54:45.800 --> 0:54:48.280
<v Speaker 15>revenue in the next twelve months. You know, we were

0:54:48.760 --> 0:54:51.000
<v Speaker 15>a little over one hundred million two years ago. So

0:54:51.880 --> 0:54:55.799
<v Speaker 15>growth has been absolutely incredible for us. You know, the category,

0:54:55.880 --> 0:54:59.640
<v Speaker 15>obviously because of US, is doing incredibly well. You know,

0:54:59.680 --> 0:55:02.759
<v Speaker 15>PREMI sort of better for you brands have really just

0:55:02.800 --> 0:55:05.920
<v Speaker 15>taken over sort of the zeitgeist with consumers, and you know,

0:55:06.160 --> 0:55:08.400
<v Speaker 15>we benefit not only from the premium better for you

0:55:08.520 --> 0:55:09.960
<v Speaker 15>side of it, but also the fact that we were

0:55:09.960 --> 0:55:12.400
<v Speaker 15>a portable, dense protein pack snack.

0:55:13.760 --> 0:55:15.799
<v Speaker 4>You know, I'm I'm how do you? How do you

0:55:15.840 --> 0:55:19.560
<v Speaker 4>do this? I'm wondering about funding and bootstrapping versus raising money.

0:55:19.640 --> 0:55:22.959
<v Speaker 4>The growth the new facility that you are opening soon

0:55:24.320 --> 0:55:27.280
<v Speaker 4>in Vernon, California, the one that you just opened excuse

0:55:27.320 --> 0:55:31.200
<v Speaker 4>me earlier this month. Did you take on external funding

0:55:31.239 --> 0:55:31.440
<v Speaker 4>for this?

0:55:32.960 --> 0:55:35.000
<v Speaker 15>We took on debt, but I mean we are we're

0:55:35.000 --> 0:55:37.799
<v Speaker 15>cash flowing, We're you know, we're profitable. So for us,

0:55:37.840 --> 0:55:40.360
<v Speaker 15>it was you know, we weren't We didn't have to

0:55:40.360 --> 0:55:41.800
<v Speaker 15>necessarily raise equity or anything.

0:55:41.840 --> 0:55:42.080
<v Speaker 16>Like that.

0:55:42.280 --> 0:55:46.040
<v Speaker 15>We do have a private equity growth investor that wash

0:55:46.200 --> 0:55:48.400
<v Speaker 15>that came in early on in our life stage. Okay,

0:55:49.400 --> 0:55:50.799
<v Speaker 15>no institutional funding as of.

0:55:51.160 --> 0:55:53.279
<v Speaker 4>The private equity investor. So how much do they own?

0:55:54.920 --> 0:55:57.960
<v Speaker 15>They own a minority stake in the business. You know,

0:55:58.040 --> 0:56:01.759
<v Speaker 15>my partner and I still own majority steak, but there

0:56:01.960 --> 0:56:04.040
<v Speaker 15>they are kind of shoulders shoulder in terms of like

0:56:04.080 --> 0:56:06.200
<v Speaker 15>sort of ownership structure.

0:56:06.600 --> 0:56:09.839
<v Speaker 3>I'm curious in a world of GLP one drugs and

0:56:09.920 --> 0:56:12.720
<v Speaker 3>people you know, looking to lose weight, they are losing

0:56:12.760 --> 0:56:16.759
<v Speaker 3>weight thinking about their diet, how is that impacting you

0:56:16.840 --> 0:56:18.440
<v Speaker 3>if at all? And I'm looking at you know, you've

0:56:18.440 --> 0:56:21.640
<v Speaker 3>got a grass fed beef jerky, a classic zero sugar,

0:56:21.960 --> 0:56:25.400
<v Speaker 3>So I'm just curious how you're adapting and just talk

0:56:25.400 --> 0:56:27.440
<v Speaker 3>to us little bit about the impact if there is any.

0:56:28.200 --> 0:56:30.480
<v Speaker 15>Yeah, you know, we haven't seen an impact in a

0:56:30.520 --> 0:56:33.960
<v Speaker 15>negative way. If anything's been positive. We're not able to

0:56:34.040 --> 0:56:37.719
<v Speaker 15>quantitatively tie our brand performance to GLP one, but will

0:56:37.760 --> 0:56:40.040
<v Speaker 15>we Studies have shown that, you know, folks that are

0:56:40.200 --> 0:56:43.040
<v Speaker 15>on GLP one adopt to meet snacks at a much

0:56:43.080 --> 0:56:46.040
<v Speaker 15>higher rate because they're just i think seeking a bit

0:56:46.080 --> 0:56:48.879
<v Speaker 15>more protein in general on their diet. Post GLP one.

0:56:48.960 --> 0:56:50.920
<v Speaker 15>So for us, we feel like it's a it's a

0:56:50.920 --> 0:56:52.800
<v Speaker 15>major tail wind for our business.

0:56:53.440 --> 0:56:57.240
<v Speaker 4>Got to talk beef prices. US beef prices have skyrocketed

0:56:57.239 --> 0:57:00.560
<v Speaker 4>to record levels. It's challenged the President's pledged to make

0:57:00.600 --> 0:57:04.880
<v Speaker 4>groceries more affordable. Earlier this week, the President attacked US

0:57:04.960 --> 0:57:07.560
<v Speaker 4>cattle ranchers over their criticism of his plan to slash

0:57:07.600 --> 0:57:10.839
<v Speaker 4>record beef prices by importing sydniafinitely more tara free meat

0:57:10.880 --> 0:57:14.400
<v Speaker 4>from Argentina. How much have your prices gone up? Not

0:57:14.520 --> 0:57:16.840
<v Speaker 4>the prices that you reflect to consumers, I'm like talking

0:57:16.920 --> 0:57:19.480
<v Speaker 4>the prices you pay for the for the beef product.

0:57:20.240 --> 0:57:20.520
<v Speaker 6>Yeah.

0:57:20.560 --> 0:57:22.640
<v Speaker 15>So we we kind of knew early on that the

0:57:22.680 --> 0:57:24.840
<v Speaker 15>beef prices were going to be as high as a were.

0:57:25.320 --> 0:57:27.440
<v Speaker 15>If you look at we look at cattle reports a

0:57:27.560 --> 0:57:30.720
<v Speaker 15>year out and this time last year, it was clear

0:57:30.800 --> 0:57:34.720
<v Speaker 15>that the domestic cattle herd is actually kind of thinning out,

0:57:34.840 --> 0:57:36.560
<v Speaker 15>just given all the record droughts that we've had in

0:57:36.600 --> 0:57:38.840
<v Speaker 15>the last few years. And so if you think about

0:57:39.120 --> 0:57:42.240
<v Speaker 15>you know, cattle herd thinning out, you know, potentially a

0:57:42.320 --> 0:57:44.720
<v Speaker 15>trade war, it's all being going to spell disaster. Right,

0:57:44.760 --> 0:57:47.040
<v Speaker 15>So we were able to hedge our commodities for the

0:57:47.080 --> 0:57:50.760
<v Speaker 15>full year, so we were somewhat not going to say

0:57:50.760 --> 0:57:53.920
<v Speaker 15>completely insulated, but somewhat insulated. And obviously we did see

0:57:53.960 --> 0:57:56.000
<v Speaker 15>his spike in pricing for sure on the beef price.

0:57:56.040 --> 0:57:59.040
<v Speaker 15>But anyone that would tell you that the beef price

0:57:59.080 --> 0:58:00.600
<v Speaker 15>is from an industry respect it was coming out of

0:58:00.600 --> 0:58:03.320
<v Speaker 15>his left field, is I would be very shocked to

0:58:03.360 --> 0:58:05.400
<v Speaker 15>find out. I think everyone knew that this day was coming.

0:58:05.720 --> 0:58:08.040
<v Speaker 15>I don't think the average consumer knew was coming, but

0:58:08.360 --> 0:58:10.320
<v Speaker 15>I think most folks that were in the industry about

0:58:10.320 --> 0:58:11.919
<v Speaker 15>a year ago knew that this was kind of coming

0:58:11.920 --> 0:58:12.400
<v Speaker 15>down the pocket.

0:58:12.440 --> 0:58:13.640
<v Speaker 4>Can you give us an idea of how much your

0:58:13.720 --> 0:58:16.520
<v Speaker 4>rop costs would have gone up had you not hedge?

0:58:16.600 --> 0:58:23.240
<v Speaker 4>Though we're talking record prices right now, so I think, wow,

0:58:24.160 --> 0:58:27.120
<v Speaker 4>that's pretty amazing. I mean, kudos for hedging.

0:58:28.120 --> 0:58:33.000
<v Speaker 3>Yeah, yeah, I'm curious about the process, Like, so you're

0:58:33.000 --> 0:58:36.800
<v Speaker 3>doing this all here in the US, correct all of it?

0:58:37.160 --> 0:58:37.240
<v Speaker 6>So?

0:58:37.520 --> 0:58:41.800
<v Speaker 3>Is it robot robots? Is there humans involved?

0:58:41.800 --> 0:58:41.880
<v Speaker 9>Like?

0:58:41.880 --> 0:58:42.880
<v Speaker 3>What's what's involved?

0:58:43.200 --> 0:58:44.000
<v Speaker 4>They not robots?

0:58:44.080 --> 0:58:47.360
<v Speaker 3>No, I know the cares are not yet, but tell us,

0:58:47.400 --> 0:58:49.560
<v Speaker 3>like what the process is because I'm just figuring out

0:58:49.560 --> 0:58:51.600
<v Speaker 3>your costs? Is it is beef the biggest or give

0:58:51.680 --> 0:58:53.480
<v Speaker 3>us a little bit of what the business is.

0:58:53.920 --> 0:58:56.840
<v Speaker 15>By far the biggest. So we have manufacturing plants that

0:58:56.880 --> 0:58:59.400
<v Speaker 15>we own, and then we also have co manufacturing partner

0:58:59.440 --> 0:59:02.560
<v Speaker 15>STRUFF that throughout the country as well. I'd say there

0:59:02.600 --> 0:59:06.040
<v Speaker 15>is labor involved, for sure, there is some automation depending

0:59:06.080 --> 0:59:07.800
<v Speaker 15>on part of the process that I think about. We're

0:59:07.800 --> 0:59:10.240
<v Speaker 15>bringing in raw beef, right, We're not doing any kind

0:59:10.240 --> 0:59:12.480
<v Speaker 15>of slaughtering or anything like that. It's all just raw

0:59:12.520 --> 0:59:15.480
<v Speaker 15>beef that comes into our processing plants. Everything is either

0:59:15.520 --> 0:59:19.040
<v Speaker 15>grinded or cut. It's cooked in a big, big oven

0:59:19.080 --> 0:59:22.720
<v Speaker 15>that you can imagine, and then from there it's packaged out,

0:59:22.720 --> 0:59:25.720
<v Speaker 15>whether it's individually wrapped like a beef stick or a

0:59:25.760 --> 0:59:27.720
<v Speaker 15>beef trikey that's in you know, bits and pieces in

0:59:28.160 --> 0:59:32.360
<v Speaker 15>a sort of receivable pouch. You know, parts of the packaging.

0:59:32.440 --> 0:59:35.440
<v Speaker 15>Most of the packaging process is automated. I would obviously

0:59:35.520 --> 0:59:38.520
<v Speaker 15>say that the raw kind of processing handling of the

0:59:38.560 --> 0:59:43.120
<v Speaker 15>product is still somewhat requires it' required labor, but that's

0:59:43.160 --> 0:59:45.640
<v Speaker 15>also got a lot of efficiencies in machinery there.

0:59:45.680 --> 0:59:48.440
<v Speaker 3>So okay, all right, interesting, you know, it's interesting, you know,

0:59:48.480 --> 0:59:50.840
<v Speaker 3>as we hear you talking you talk about your growth rates.

0:59:50.880 --> 0:59:54.040
<v Speaker 3>I mean there were go back a few years even

0:59:54.080 --> 0:59:56.440
<v Speaker 3>before GLP one, that people were trying to cut back

0:59:57.000 --> 0:59:59.360
<v Speaker 3>on their consumption of beef. And I think, you know,

0:59:59.440 --> 1:00:01.920
<v Speaker 3>people even you know you shouldn't have it too often,

1:00:02.240 --> 1:00:05.640
<v Speaker 3>and it feels like people are really into your product.

1:00:05.800 --> 1:00:07.440
<v Speaker 3>You know, what's changed? Do you think?

1:00:08.680 --> 1:00:08.880
<v Speaker 9>You know?

1:00:09.040 --> 1:00:12.320
<v Speaker 15>I think I don't think anything's changed. I think it's accelerated.

1:00:12.360 --> 1:00:15.600
<v Speaker 15>I think our thesis from the very beginning was, you know,

1:00:15.760 --> 1:00:19.440
<v Speaker 15>we are sourcing high quality premium beef, right, so it's

1:00:19.440 --> 1:00:22.280
<v Speaker 15>all one hundred percent grass fed, pasture rays. And so

1:00:22.400 --> 1:00:24.840
<v Speaker 15>for us, we had this thesis like, look, if you're

1:00:24.880 --> 1:00:27.840
<v Speaker 15>gonna eat protein and beef, please make sure you're you're

1:00:28.160 --> 1:00:31.040
<v Speaker 15>eating the right highest quality of protein. And so I

1:00:31.080 --> 1:00:33.960
<v Speaker 15>think that trend line has converged where the consumer is today,

1:00:34.000 --> 1:00:36.280
<v Speaker 15>and I think folks are realizing, like, you know, hey,

1:00:36.280 --> 1:00:38.640
<v Speaker 15>look there's nothing wrong with feeding animal based protein, but

1:00:38.680 --> 1:00:41.040
<v Speaker 15>if you're gonna eat it, make sure you're sourcing, you know,

1:00:41.120 --> 1:00:42.880
<v Speaker 15>the highest quality, because we think that's better for you,

1:00:42.920 --> 1:00:46.000
<v Speaker 15>whether it's antibiotic free, free range, grass fed, et cetera.

1:00:46.560 --> 1:00:49.120
<v Speaker 4>We're speaking with Eugen Kang. We're speaking with Eugene Kang.

1:00:49.200 --> 1:00:51.440
<v Speaker 4>He's the founder and CEO of Archer makes meat sticks

1:00:51.440 --> 1:00:54.280
<v Speaker 4>from grass fed beef and all natural turkey. Joins us

1:00:54.320 --> 1:00:58.800
<v Speaker 4>from LA. What's the product pipeline look like beyond turkey,

1:00:58.840 --> 1:00:59.400
<v Speaker 4>beyond beef.

1:01:00.240 --> 1:01:02.840
<v Speaker 15>Yeah, Look, I think we launched a really cool bison

1:01:02.960 --> 1:01:07.880
<v Speaker 15>pasture raised bison jerky and whole foods and sprouts nationwide.

1:01:07.760 --> 1:01:09.760
<v Speaker 3>Kind of Beisenberger. They're kind of good.

1:01:11.120 --> 1:01:13.800
<v Speaker 15>Bison's really fun. Not not a lot of source for it, so,

1:01:13.880 --> 1:01:16.800
<v Speaker 15>you know, harder scale. Look, look, we're exploring other protein

1:01:16.840 --> 1:01:20.320
<v Speaker 15>alternatives right other animals in whether it's the stick or

1:01:20.440 --> 1:01:24.400
<v Speaker 15>meat or beef jerky or jerky format. I'd say for us,

1:01:24.640 --> 1:01:28.120
<v Speaker 15>given the growth, we actually feel like a lot of

1:01:28.120 --> 1:01:30.880
<v Speaker 15>our sort of white space is still in distribution. I mean,

1:01:31.240 --> 1:01:34.560
<v Speaker 15>convenience channel is you know, roughly thirty to forty percent

1:01:34.560 --> 1:01:36.480
<v Speaker 15>of the overall meats in that category, and we play

1:01:36.520 --> 1:01:38.160
<v Speaker 15>in less than one percent of it today, So we

1:01:38.160 --> 1:01:41.440
<v Speaker 15>think there's big white space there, a lot of you know,

1:01:41.520 --> 1:01:43.360
<v Speaker 15>despite all the store counts that we're in today, we

1:01:43.400 --> 1:01:45.720
<v Speaker 15>actually think there's still plenty of distribution to go get

1:01:45.880 --> 1:01:48.600
<v Speaker 15>in our current format and then continue to innovate on

1:01:48.680 --> 1:01:51.920
<v Speaker 15>the pack format, right, Like, this consumer is completely new

1:01:51.960 --> 1:01:53.840
<v Speaker 15>to the category despite it being a category it's been

1:01:53.880 --> 1:01:56.520
<v Speaker 15>around for twenty years. Like our consumers that we brought

1:01:56.560 --> 1:02:00.000
<v Speaker 15>in through this like premiumization, this better for you position

1:02:00.720 --> 1:02:03.720
<v Speaker 15>is entirely incremental, and so for us, it's like, Okay,

1:02:03.800 --> 1:02:06.800
<v Speaker 15>how do we think about new unique platformats to meet

1:02:06.840 --> 1:02:09.000
<v Speaker 15>the consumer where they are given the US education And

1:02:09.320 --> 1:02:11.160
<v Speaker 15>that's kind of our view right now.

1:02:11.200 --> 1:02:15.160
<v Speaker 4>Just very briefly. Competition, there's no shortage. You've got Chomps,

1:02:15.320 --> 1:02:19.720
<v Speaker 4>You've got Vermont, that's just a couple country. You got

1:02:19.720 --> 1:02:21.680
<v Speaker 4>other ones as well. I mean those are the two

1:02:21.680 --> 1:02:23.880
<v Speaker 4>on the tip of my tongue. How do you stand out?

1:02:24.640 --> 1:02:27.360
<v Speaker 15>Yeah, I mean we're the fourth largest in the country.

1:02:28.080 --> 1:02:31.280
<v Speaker 15>You know, we are right behind the big conventional stalwarts

1:02:31.560 --> 1:02:34.520
<v Speaker 15>like a jack Link's like a slim Gym. Those are

1:02:34.560 --> 1:02:38.440
<v Speaker 15>more conventionally positioned and they're like legacy brands. Chomps is

1:02:38.880 --> 1:02:41.560
<v Speaker 15>a phenomenal brand as well. I mean we are kind

1:02:41.600 --> 1:02:43.600
<v Speaker 15>of neck and neck in terms of like size and

1:02:43.680 --> 1:02:46.320
<v Speaker 15>scale and ultimately driving a lot of the growth.

1:02:46.320 --> 1:02:49.080
<v Speaker 16>Frankly in the category. I would actually argue that.

1:02:49.040 --> 1:02:51.880
<v Speaker 15>If you removed us in Chumps from the ecosystem, the

1:02:52.080 --> 1:02:54.160
<v Speaker 15>category wouldn't be growing as fast as it would be, So.

1:02:54.320 --> 1:02:57.920
<v Speaker 3>Eugene, that's really quick ten seconds. You're going to go

1:02:57.920 --> 1:02:59.560
<v Speaker 3>it alone? Or are you looking for someone to buy

1:02:59.560 --> 1:03:00.280
<v Speaker 3>you guys out?

1:03:02.480 --> 1:03:07.040
<v Speaker 15>Like the company has been built on scalability and sustainability,

1:03:07.080 --> 1:03:10.000
<v Speaker 15>and for us, you know, we're always open to options, right.

1:03:10.240 --> 1:03:13.320
<v Speaker 4>That was Eugene Gang, founder and CEO of the meatstick company.

1:03:13.480 --> 1:03:16.920
<v Speaker 3>Archer still Ad on Bloomberg Business Week. Over fifty five

1:03:17.040 --> 1:03:20.080
<v Speaker 3>thousand runners we'll be pounding the pavement for the New

1:03:20.160 --> 1:03:23.320
<v Speaker 3>York City Marathon this weekend. We talked to the CEO

1:03:23.440 --> 1:03:24.440
<v Speaker 3>behind it all.

1:03:24.480 --> 1:03:25.600
<v Speaker 4>This is Bloomberg.

1:03:27.960 --> 1:03:31.800
<v Speaker 1>You're listening to the Bloomberg Business Week Daily Podcast. Catch

1:03:31.880 --> 1:03:35.080
<v Speaker 1>us live weekday afternoons from two to five eastering. Listen

1:03:35.120 --> 1:03:38.680
<v Speaker 1>on Applecarplay and Android Auto with the Bloomberg Business app,

1:03:38.840 --> 1:03:41.000
<v Speaker 1>or watch us live on YouTube.

1:03:42.200 --> 1:03:45.160
<v Speaker 4>This weekend, more than fifty five thousand people from all

1:03:45.160 --> 1:03:47.040
<v Speaker 4>over the world, we'll take to the streets of New

1:03:47.120 --> 1:03:49.440
<v Speaker 4>York City to run the more than twenty six miles

1:03:49.480 --> 1:03:51.360
<v Speaker 4>through the five boroughs of the city.

1:03:51.800 --> 1:03:53.400
<v Speaker 3>You know someone who's going to be running in it.

1:03:53.840 --> 1:03:55.680
<v Speaker 4>My wife is doing it this year. She's wanted to

1:03:55.720 --> 1:03:57.480
<v Speaker 4>do it for years. Really she is.

1:03:57.600 --> 1:03:58.760
<v Speaker 3>Yeah, that's so much, is it?

1:03:59.000 --> 1:04:01.680
<v Speaker 4>Kid's gotten the way of planning for this over the

1:04:01.760 --> 1:04:04.600
<v Speaker 4>last two years, but she's finally making it happen. We're

1:04:04.600 --> 1:04:06.120
<v Speaker 4>excited to cheer for her, and you guys should all

1:04:06.200 --> 1:04:08.560
<v Speaker 4>cheer for her too when you see her running. We've

1:04:08.600 --> 1:04:12.040
<v Speaker 4>got with us Rob Similcare, CEO of New York road Runners.

1:04:12.080 --> 1:04:15.680
<v Speaker 4>It's the nonprofit that puts on the TCS New York Marathon.

1:04:15.760 --> 1:04:18.160
<v Speaker 4>He joins us from New York. Rob, good to have

1:04:18.200 --> 1:04:20.320
<v Speaker 4>you with us. The Roadrunners. You guys do stuff throughout

1:04:20.320 --> 1:04:22.760
<v Speaker 4>the year, but no question. Do you pretty much start

1:04:22.760 --> 1:04:26.720
<v Speaker 4>planning the marathon the Monday after the Sunday of the marathon.

1:04:27.080 --> 1:04:28.160
<v Speaker 16>No, we don't wait that long.

1:04:28.240 --> 1:04:31.160
<v Speaker 17>We've already been planning the twenty twenty six marathon now

1:04:31.200 --> 1:04:34.440
<v Speaker 17>for several months. So yeah, we get out more than

1:04:34.440 --> 1:04:38.080
<v Speaker 17>a year ahead because this is a massive operation, as

1:04:38.120 --> 1:04:41.320
<v Speaker 17>you can imagine, more than fifty five thousand runners going

1:04:41.360 --> 1:04:44.800
<v Speaker 17>from Staten Island to Central Park, and we've got hundreds

1:04:44.840 --> 1:04:48.960
<v Speaker 17>of staff, thousands of volunteers involved in this, so it's

1:04:49.000 --> 1:04:50.560
<v Speaker 17>really like a military operation.

1:04:50.800 --> 1:04:53.160
<v Speaker 16>And the planning begins more than a year out.

1:04:53.200 --> 1:04:56.840
<v Speaker 4>It's pretty remarkable for anyone who has not seen it.

1:04:56.840 --> 1:04:59.640
<v Speaker 4>It's I think it's actually one of the best days

1:04:59.640 --> 1:05:00.720
<v Speaker 4>to be New York City.

1:05:00.760 --> 1:05:02.360
<v Speaker 3>It's pretty cool, right, Oh.

1:05:02.520 --> 1:05:06.560
<v Speaker 4>I mean I always get I get like goosebumps when

1:05:06.600 --> 1:05:10.120
<v Speaker 4>I watch because it's like everybody is so happy, even

1:05:10.120 --> 1:05:12.240
<v Speaker 4>though some of them look like they're in pain. It's

1:05:12.280 --> 1:05:14.920
<v Speaker 4>pretty well, we just never see. It's the way that

1:05:14.960 --> 1:05:17.600
<v Speaker 4>New Yorkers come together in a way that I can't

1:05:17.600 --> 1:05:19.360
<v Speaker 4>believe I'm selling this thing, but I mean I find

1:05:20.360 --> 1:05:22.480
<v Speaker 4>in every year a friend who comes in every year

1:05:22.480 --> 1:05:24.520
<v Speaker 4>to do it, and he runs marathons all over the world,

1:05:24.600 --> 1:05:26.760
<v Speaker 4>and he's like, there is nothing like the New York

1:05:26.760 --> 1:05:27.440
<v Speaker 4>City Marathon.

1:05:27.640 --> 1:05:29.320
<v Speaker 3>Rob, Why do you think that is the case?

1:05:30.160 --> 1:05:32.560
<v Speaker 17>I just think that, you know, he said it in

1:05:32.600 --> 1:05:35.440
<v Speaker 17>a way, it's a day that New Yorkers come out

1:05:35.480 --> 1:05:38.360
<v Speaker 17>to cheer for total strangers. You know, you don't see

1:05:38.360 --> 1:05:40.680
<v Speaker 17>that every day in a city like New York. We're

1:05:40.720 --> 1:05:43.320
<v Speaker 17>known to be pretty tough. New York can be a

1:05:43.360 --> 1:05:46.120
<v Speaker 17>tough place to live, and you know, we're obviously all

1:05:46.160 --> 1:05:47.720
<v Speaker 17>really tough people in New York City.

1:05:47.720 --> 1:05:49.160
<v Speaker 16>That's part of what makes this New Yorkers.

1:05:49.200 --> 1:05:51.240
<v Speaker 17>But it's the day that we come out, we cheer

1:05:51.280 --> 1:05:54.200
<v Speaker 17>for strangers, whether they're from down the block or across

1:05:54.240 --> 1:05:58.320
<v Speaker 17>the world, because I think everybody respects what it takes

1:05:58.360 --> 1:06:02.720
<v Speaker 17>to run twenty six point two miles, and everybody wants

1:06:02.760 --> 1:06:05.360
<v Speaker 17>them to succeed. You know, we're not rooting against anybody.

1:06:05.360 --> 1:06:07.800
<v Speaker 17>We're rooting for everyone. And we may be out there

1:06:07.800 --> 1:06:10.520
<v Speaker 17>to see our spouse or our colleague or our friend,

1:06:10.720 --> 1:06:13.560
<v Speaker 17>but every person who passes, we're rooting for them to

1:06:13.600 --> 1:06:15.680
<v Speaker 17>succeed in their goal or reaching the finish line.

1:06:15.680 --> 1:06:18.680
<v Speaker 3>So fifty five thousand people all over the world, how

1:06:18.720 --> 1:06:21.880
<v Speaker 3>many people like actually reach out to be a part

1:06:21.880 --> 1:06:23.640
<v Speaker 3>of this. I'm assuming that there is a number that

1:06:23.680 --> 1:06:24.960
<v Speaker 3>you guys just don't want to exceed.

1:06:25.280 --> 1:06:28.080
<v Speaker 16>Yeah, that's right. I mean this year we had over.

1:06:27.920 --> 1:06:32.280
<v Speaker 17>Two hundred thousand applications to our drawing, so that was

1:06:32.520 --> 1:06:35.240
<v Speaker 17>a big number. We also have a countless number of

1:06:35.240 --> 1:06:38.880
<v Speaker 17>requests coming in for people to run for charities or

1:06:39.080 --> 1:06:42.240
<v Speaker 17>other organizations in the marathon. So the interest level, if

1:06:42.280 --> 1:06:44.440
<v Speaker 17>you add it all up, is probably close to half

1:06:44.480 --> 1:06:47.600
<v Speaker 17>a million people who would like to run the marathon

1:06:47.640 --> 1:06:48.680
<v Speaker 17>and reach out to try to.

1:06:48.640 --> 1:06:49.360
<v Speaker 16>Do it every year.

1:06:49.840 --> 1:06:52.880
<v Speaker 17>We obviously want to keep the number to a number

1:06:52.920 --> 1:06:55.400
<v Speaker 17>that we think is manageable. So this year we're going

1:06:55.440 --> 1:06:59.040
<v Speaker 17>to be in that fifty five thousand plus range to

1:06:59.080 --> 1:07:00.840
<v Speaker 17>make sure that everybody has a great day. But we're

1:07:00.840 --> 1:07:04.000
<v Speaker 17>always looking for ways to get more people into the marathon,

1:07:04.240 --> 1:07:06.960
<v Speaker 17>and the application window for next year is already open.

1:07:07.000 --> 1:07:09.280
<v Speaker 17>You can already apply to be a part of our

1:07:09.320 --> 1:07:12.600
<v Speaker 17>Team for Kids charity team for twenty twenty six on

1:07:12.640 --> 1:07:14.439
<v Speaker 17>our website and YRR dot org.

1:07:14.640 --> 1:07:16.720
<v Speaker 16>We also have a sweepstakes going on right now.

1:07:16.760 --> 1:07:20.000
<v Speaker 17>You can enter to buy a chance to get free

1:07:20.160 --> 1:07:22.920
<v Speaker 17>entry for you and a friend into the marathon next year,

1:07:23.000 --> 1:07:25.400
<v Speaker 17>and the proceeds from that go to support our nonprofit

1:07:25.760 --> 1:07:28.000
<v Speaker 17>mission to get kids and adults running in New York.

1:07:28.080 --> 1:07:30.320
<v Speaker 4>Yeah, it is really it's really hard to get into, Carol.

1:07:30.320 --> 1:07:31.960
<v Speaker 4>I mean my wife did because we live in New York.

1:07:32.040 --> 1:07:33.960
<v Speaker 4>She did the New York road Runners. I think it's

1:07:34.040 --> 1:07:36.040
<v Speaker 4>nine plus one, Is that right? Rob?

1:07:36.280 --> 1:07:36.760
<v Speaker 16>That's right?

1:07:37.000 --> 1:07:38.000
<v Speaker 6>But do you still do this?

1:07:38.200 --> 1:07:38.840
<v Speaker 4>Do you still do that?

1:07:39.040 --> 1:07:39.960
<v Speaker 6>Or yeah? We do?

1:07:40.040 --> 1:07:42.000
<v Speaker 4>Okay, explain how that works for New Yorkers.

1:07:41.760 --> 1:07:43.400
<v Speaker 17>You're in the Yeah, if you're in the New York

1:07:43.440 --> 1:07:45.880
<v Speaker 17>area and you run nine races in a calendar year,

1:07:46.000 --> 1:07:49.160
<v Speaker 17>plus volunteer at one of them, you are guaranteed entry

1:07:49.200 --> 1:07:50.440
<v Speaker 17>into the next year's marathon.

1:07:50.480 --> 1:07:52.040
<v Speaker 16>So that's one of the most popular.

1:07:51.680 --> 1:07:54.720
<v Speaker 17>Ways to get in and obviously favors New York City

1:07:54.760 --> 1:07:55.640
<v Speaker 17>area residents.

1:07:55.920 --> 1:07:57.400
<v Speaker 16>And yeah, we had a lot of people get in

1:07:57.400 --> 1:07:57.680
<v Speaker 16>that way.

1:07:57.720 --> 1:08:00.280
<v Speaker 4>Okay, so let's talk economic impact here, because I got

1:08:00.280 --> 1:08:02.160
<v Speaker 4>my buddy coming in. It comes in every year. This time,

1:08:02.160 --> 1:08:04.240
<v Speaker 4>he's not coming in solo. He's bringing his two kids,

1:08:04.400 --> 1:08:07.240
<v Speaker 4>he's bringing his wife. They're staying at a fancy hotel

1:08:07.720 --> 1:08:10.919
<v Speaker 4>in Midtown. They're gonna make a vacation of it. He's

1:08:10.920 --> 1:08:13.720
<v Speaker 4>going to drop some serious coin to do that. I

1:08:13.720 --> 1:08:16.200
<v Speaker 4>imagine the New York City Marathon has a huge economic

1:08:16.200 --> 1:08:17.000
<v Speaker 4>effect on the city.

1:08:17.200 --> 1:08:17.400
<v Speaker 6>Yes.

1:08:17.479 --> 1:08:20.840
<v Speaker 17>In fact, we just completed a study about a month

1:08:20.880 --> 1:08:24.320
<v Speaker 17>ago on the economic impact of the marathon.

1:08:23.960 --> 1:08:26.519
<v Speaker 16>And New York Roadrunners across the board on New York.

1:08:26.400 --> 1:08:30.280
<v Speaker 17>City, and we found that the marathon contributes just about

1:08:30.320 --> 1:08:33.760
<v Speaker 17>seven hundred million dollars a year to the economy of

1:08:33.800 --> 1:08:36.840
<v Speaker 17>New York City. All year, New York Roadrunners, with our

1:08:36.880 --> 1:08:40.080
<v Speaker 17>other races and events, contributes close to a billion dollars.

1:08:40.120 --> 1:08:43.200
<v Speaker 17>And so that's actually more economic impact than all of

1:08:43.240 --> 1:08:46.759
<v Speaker 17>the Mets and Yankees home games, Wow combined and.

1:08:47.280 --> 1:08:48.920
<v Speaker 16>The story of your friends a big part of the

1:08:48.920 --> 1:08:49.439
<v Speaker 16>reason why.

1:08:49.520 --> 1:08:52.320
<v Speaker 17>Right, You've got people from all over the world who

1:08:52.360 --> 1:08:55.000
<v Speaker 17>are coming to New York. They're bringing their friends, they're

1:08:55.000 --> 1:08:57.240
<v Speaker 17>bringing their family. A lot of them are staying in

1:08:57.280 --> 1:09:00.559
<v Speaker 17>hotels multiple nights. About forty percent of our field this

1:09:00.680 --> 1:09:03.599
<v Speaker 17>year will be international. So those folks are coming in

1:09:03.640 --> 1:09:06.200
<v Speaker 17>for a sustained period of time. They're staying at hotels,

1:09:06.200 --> 1:09:09.439
<v Speaker 17>they're eating at restaurants, they're going to Broadway shows, they're

1:09:09.439 --> 1:09:11.320
<v Speaker 17>doing all the things you do when you visit New

1:09:11.360 --> 1:09:13.600
<v Speaker 17>York And so running the marathon is just kind of

1:09:13.600 --> 1:09:16.120
<v Speaker 17>the centerpiece of a big trip to New York City.

1:09:16.200 --> 1:09:19.559
<v Speaker 17>And let's face it, November is not peak tourist season, right,

1:09:19.600 --> 1:09:21.800
<v Speaker 17>So we're bringing in a huge number of visitors to

1:09:21.840 --> 1:09:24.439
<v Speaker 17>the city at a time that otherwise would be pretty quiet.

1:09:24.439 --> 1:09:26.160
<v Speaker 3>Wait, Rob, how much of that spending is the car

1:09:26.240 --> 1:09:27.480
<v Speaker 3>bload before the marathon?

1:09:27.600 --> 1:09:27.760
<v Speaker 5>Right?

1:09:27.800 --> 1:09:30.240
<v Speaker 3>Like all those restaurants offering up pasta, I mean there's

1:09:30.240 --> 1:09:31.240
<v Speaker 3>a lot of that going on.

1:09:31.200 --> 1:09:31.719
<v Speaker 4>Too, right.

1:09:32.479 --> 1:09:34.240
<v Speaker 17>Oh yeah, this is a good week to own an

1:09:34.240 --> 1:09:36.680
<v Speaker 17>Italian restaurant in New York City, And we know that

1:09:36.720 --> 1:09:40.439
<v Speaker 17>they are all dialed up their pasta menus, their prefigs menus.

1:09:40.720 --> 1:09:43.479
<v Speaker 17>So absolutely it's a very good week for the pasta

1:09:43.560 --> 1:09:44.200
<v Speaker 17>and rice too.

1:09:44.240 --> 1:09:45.760
<v Speaker 16>Rice is also good carbs.

1:09:45.600 --> 1:09:48.679
<v Speaker 4>You know, Carol and I travel the week in the

1:09:48.720 --> 1:09:50.920
<v Speaker 4>two days after the marathon every year, and one cool

1:09:50.920 --> 1:09:54.040
<v Speaker 4>thing about New York is you see everybody who completed

1:09:54.040 --> 1:09:56.800
<v Speaker 4>the marathon on the subway on the way home, they

1:09:56.840 --> 1:09:59.680
<v Speaker 4>wear they're wearing the metals then throughout the week and

1:09:59.840 --> 1:10:01.439
<v Speaker 4>I I just remember the lastew years because we've we're

1:10:01.439 --> 1:10:03.840
<v Speaker 4>going to Schwab Impact next week, Carol. Right, it's always

1:10:03.840 --> 1:10:06.120
<v Speaker 4>around this time of year. We fly on the plane,

1:10:06.160 --> 1:10:09.080
<v Speaker 4>there's always people wearing their medals at the airport on

1:10:09.080 --> 1:10:11.679
<v Speaker 4>the plane with us, and you know, there's this cool

1:10:11.760 --> 1:10:14.120
<v Speaker 4>like moment that you have with these people who are like, congratulations,

1:10:14.200 --> 1:10:15.920
<v Speaker 4>that was a lot of work you did it.

1:10:15.920 --> 1:10:18.360
<v Speaker 3>It's like such a community feel. It is pretty amazing.

1:10:18.479 --> 1:10:20.840
<v Speaker 4>Right, So it's not New York the New York that

1:10:20.960 --> 1:10:23.519
<v Speaker 4>Rob was describing, right, like the sharp elbows, like give

1:10:23.560 --> 1:10:24.639
<v Speaker 4>me some room on the subway.

1:10:24.640 --> 1:10:27.960
<v Speaker 3>Here, it's really really sweet, like in a world where

1:10:28.320 --> 1:10:31.200
<v Speaker 3>it feels like there's a lot coming at people. I

1:10:31.200 --> 1:10:33.679
<v Speaker 3>don't know what year are you guys in doing this.

1:10:34.080 --> 1:10:37.479
<v Speaker 17>Next year will be the fiftieth anniversary of the Five

1:10:37.600 --> 1:10:40.519
<v Speaker 17>Borough New York City Marathon that started and starts in

1:10:40.560 --> 1:10:42.920
<v Speaker 17>Staten Island and ends in New York City, So the

1:10:43.000 --> 1:10:45.640
<v Speaker 17>original race was just lapsed in Central Park in the

1:10:45.680 --> 1:10:48.960
<v Speaker 17>early seventies. But next year will be really a big,

1:10:49.280 --> 1:10:51.760
<v Speaker 17>big anniversary because that's what people think of when they

1:10:51.760 --> 1:10:54.799
<v Speaker 17>think of the marathon is crossing the Arizona Bridge, running

1:10:54.800 --> 1:10:56.719
<v Speaker 17>through all five boroughs, So next year.

1:10:56.640 --> 1:10:58.680
<v Speaker 16>Will be a big year with that fiftieth anniversary.

1:10:58.840 --> 1:11:00.600
<v Speaker 3>I just love it. How much has the race I

1:11:00.600 --> 1:11:02.559
<v Speaker 3>mean you said how it started, you know, laps around

1:11:02.560 --> 1:11:06.320
<v Speaker 3>Central Park? How often? How much has the route changed

1:11:06.400 --> 1:11:07.120
<v Speaker 3>over the years.

1:11:07.520 --> 1:11:10.040
<v Speaker 17>It hasn't changed very much since they started that race,

1:11:10.360 --> 1:11:14.080
<v Speaker 17>covering five brows. Minor changes here and there, but it

1:11:14.120 --> 1:11:16.360
<v Speaker 17>really has not changed very much. That start line on

1:11:16.360 --> 1:11:18.759
<v Speaker 17>the Staten Island side of the Arizona and Hours Bridge,

1:11:18.880 --> 1:11:20.960
<v Speaker 17>and that finish line right a tavern on the Greens,

1:11:21.000 --> 1:11:23.439
<v Speaker 17>So you're running the same course that people have been

1:11:23.520 --> 1:11:26.080
<v Speaker 17>running for decades and decades, And I think that's one

1:11:26.120 --> 1:11:27.920
<v Speaker 17>of the things that makes it special because you can

1:11:28.200 --> 1:11:32.000
<v Speaker 17>compare your times to the times of your friends years ago,

1:11:32.200 --> 1:11:34.200
<v Speaker 17>the times of yourself if you've run it a lot

1:11:34.240 --> 1:11:36.280
<v Speaker 17>of years. So that's one of the things that runners

1:11:36.320 --> 1:11:39.519
<v Speaker 17>love to do, is compare times, and it's you know,

1:11:39.560 --> 1:11:42.160
<v Speaker 17>it's stayed pretty constant, so those comparisons hold true.

1:11:42.400 --> 1:11:45.599
<v Speaker 4>Yeah, I'm wondering how much the Athletes with Disabilities program

1:11:45.640 --> 1:11:48.040
<v Speaker 4>has changed in over the years, because that, to me,

1:11:48.160 --> 1:11:50.320
<v Speaker 4>is one of the most special parts of the marathon.

1:11:50.400 --> 1:11:53.720
<v Speaker 4>And I know that there are different physical impairments that

1:11:54.840 --> 1:11:58.120
<v Speaker 4>make athletes with disabilities eligible to run in the New

1:11:58.200 --> 1:12:01.639
<v Speaker 4>York City Marathon. But seeing those folks, whether they're visually

1:12:01.680 --> 1:12:04.799
<v Speaker 4>impaired and they're guided by another runner, or they're using

1:12:04.840 --> 1:12:07.800
<v Speaker 4>hand cycles because they've lost the use of their legs, well,

1:12:07.840 --> 1:12:11.240
<v Speaker 4>that's actually a separate race, we should note. But it's

1:12:11.280 --> 1:12:13.000
<v Speaker 4>pretty remarkable to see. Rob.

1:12:13.320 --> 1:12:14.640
<v Speaker 16>Yeah, thank you for bringing that up.

1:12:14.680 --> 1:12:17.879
<v Speaker 17>I mean, we do have a significant number of athletes

1:12:17.920 --> 1:12:20.479
<v Speaker 17>with disabilities who enter our race. There are a number

1:12:20.479 --> 1:12:22.000
<v Speaker 17>of ways for them to do that. They can enter

1:12:22.080 --> 1:12:24.880
<v Speaker 17>directly with us. We have our own AWD as we

1:12:24.920 --> 1:12:28.800
<v Speaker 17>call it program. We have a great partnership with Achilles International.

1:12:28.880 --> 1:12:31.519
<v Speaker 17>I think if you've run our races or stood on

1:12:31.560 --> 1:12:33.679
<v Speaker 17>the sidelines for a lot of our races, you'll see

1:12:33.880 --> 1:12:36.839
<v Speaker 17>the Achilles athletes going by. They always wear this highlighter

1:12:37.000 --> 1:12:40.720
<v Speaker 17>yellow shirt and they always are I think some of

1:12:40.720 --> 1:12:43.600
<v Speaker 17>the stars of the marathon. People will yell out, go

1:12:43.720 --> 1:12:46.559
<v Speaker 17>Achilles when they see these athletes go by. You'll see

1:12:46.600 --> 1:12:49.080
<v Speaker 17>them with you know, one or sometimes two guides on

1:12:49.120 --> 1:12:51.559
<v Speaker 17>either side of them, just to make sure they stay safe.

1:12:51.600 --> 1:12:54.400
<v Speaker 17>And I think that's what the marathon is all about.

1:12:54.439 --> 1:12:58.280
<v Speaker 17>It's what inspires people, is folks overcoming these incredible odds.

1:12:58.280 --> 1:12:58.439
<v Speaker 16>You know.

1:12:58.479 --> 1:13:01.920
<v Speaker 17>We just released a film that's on YouTube actually out

1:13:01.960 --> 1:13:05.280
<v Speaker 17>today called twenty six point two. I recommend everybody check

1:13:05.280 --> 1:13:07.439
<v Speaker 17>it out. It's a short film about thirty minutes long,

1:13:07.760 --> 1:13:10.519
<v Speaker 17>and it tells the story of four runners who ran

1:13:10.560 --> 1:13:14.640
<v Speaker 17>the marathon last year, and they each had significant challenges.

1:13:14.680 --> 1:13:18.479
<v Speaker 17>One was overcoming cancer, one had had a stroke, one

1:13:18.600 --> 1:13:21.360
<v Speaker 17>was you know, basically having to walk the marathon, you know,

1:13:21.600 --> 1:13:23.920
<v Speaker 17>and they're incredible stories, and I think that's the thing

1:13:23.960 --> 1:13:25.639
<v Speaker 17>that makes the marathon special.

1:13:25.840 --> 1:13:27.160
<v Speaker 16>Yes, we love the fast.

1:13:26.960 --> 1:13:29.040
<v Speaker 17>Runners, we love the ones who win and who run

1:13:29.080 --> 1:13:31.439
<v Speaker 17>it under three or even two and a half hours,

1:13:31.640 --> 1:13:34.720
<v Speaker 17>but it's those stories of overcoming struggle and challenges that

1:13:34.760 --> 1:13:35.960
<v Speaker 17>I think make it really special.

1:13:36.240 --> 1:13:40.120
<v Speaker 3>That's pretty cool. Yeah, a documentary, right, and just to

1:13:40.200 --> 1:13:42.760
<v Speaker 3>kind of show you're right. It's the people, right, and

1:13:43.280 --> 1:13:47.599
<v Speaker 3>some of them who are struggling physically and maybe even emotionally, right,

1:13:47.720 --> 1:13:50.519
<v Speaker 3>but they all come together and with this common goal.

1:13:50.600 --> 1:13:53.679
<v Speaker 3>It's a pretty cool thing. Rob, Thank you so much.

1:13:53.720 --> 1:13:56.680
<v Speaker 3>Good luck fingers crossed. Really good weather. We've had some

1:13:56.720 --> 1:14:00.559
<v Speaker 3>good weekend weather, so let's hope it continues this weekend.

1:14:00.640 --> 1:14:02.000
<v Speaker 3>And good luck to your wife.

1:14:02.240 --> 1:14:02.559
<v Speaker 16>Yeah.

1:14:03.080 --> 1:14:06.080
<v Speaker 4>Uh, she's training, she's been training, she's excited. She's wanted

1:14:06.080 --> 1:14:07.400
<v Speaker 4>to do this for years. I mean we've lived in

1:14:07.400 --> 1:14:09.400
<v Speaker 4>New York for like, gosh, close to twenty years at

1:14:09.400 --> 1:14:11.240
<v Speaker 4>this point. Yeah, and this is finally the year she's

1:14:11.240 --> 1:14:14.160
<v Speaker 4>making it happen. So really cool. Rob Similcare CEO of

1:14:14.320 --> 1:14:17.200
<v Speaker 4>New York road Runners. He's also a two time New

1:14:17.280 --> 1:14:21.960
<v Speaker 4>York Marathon finisher as well. See the medals there behind him.

1:14:22.200 --> 1:14:24.280
<v Speaker 4>The New York road Runners is the nonprofit that puts

1:14:24.280 --> 1:14:27.639
<v Speaker 4>on the TCS New York Marathon. Rob joining us from

1:14:27.680 --> 1:14:30.599
<v Speaker 4>New York, I do seriously want to encourage anybody who

1:14:30.600 --> 1:14:32.240
<v Speaker 4>has never seen the marathon. It is one of the

1:14:32.240 --> 1:14:35.720
<v Speaker 4>most special days here in New York. City. Go check

1:14:35.720 --> 1:14:39.200
<v Speaker 4>it out. We have friends coming in from Westchester County.

1:14:39.200 --> 1:14:42.160
<v Speaker 4>We have friends coming in from New Jersey. Everybody makes

1:14:42.200 --> 1:14:43.679
<v Speaker 4>a day of it. They're not just coming to watch

1:14:43.720 --> 1:14:46.680
<v Speaker 4>my wife. They're like, yeah, I mean I haven't done

1:14:46.680 --> 1:14:49.200
<v Speaker 4>it a long time. Great thing and a little secret.

1:14:49.680 --> 1:14:53.479
<v Speaker 4>Where bring the kids bikes as the last runners go through,

1:14:53.720 --> 1:14:56.960
<v Speaker 4>sneak onto those closed roads and bike through.

1:14:57.720 --> 1:14:57.880
<v Speaker 8>Rob.

1:14:57.880 --> 1:15:00.400
<v Speaker 4>I probably shouldn't say I see Rob. He's probably don't

1:15:00.400 --> 1:15:02.960
<v Speaker 4>say this to stay away from the New York City

1:15:03.000 --> 1:15:05.879
<v Speaker 4>sanitation trucks that are coming to clean up everything.

1:15:06.120 --> 1:15:08.360
<v Speaker 3>But the kids can just ride the roads, right, Yeah,

1:15:08.400 --> 1:15:09.639
<v Speaker 3>the kids can just ride their roads.

1:15:09.840 --> 1:15:11.040
<v Speaker 4>This is a special day in New York.

1:15:11.800 --> 1:15:17.160
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1:15:17.280 --> 1:15:21.000
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1:15:21.040 --> 1:15:25.040
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1:15:25.080 --> 1:15:29.000
<v Speaker 2>the iHeartRadio app, tune In, and the Bloomberg Business App.

1:15:29.240 --> 1:15:32.160
<v Speaker 2>You can also watch us live every weekday on YouTube

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<v Speaker 2>and always on the Bloomberg terminal