WEBVTT - Bloomberg Businessweek Weekend - May 12th, 2023

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Last all right, yeah, come on us and China. Why

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<v Speaker 2>can't you be friends?

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<v Speaker 3>This story is in the upcoming new issue of Bloomberg

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<v Speaker 3>Business Week. It's actually the remarks of the upcoming new issue,

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<v Speaker 3>which will be on newstands later this week, already online

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<v Speaker 3>at Bloomberg dot com slash Businessweekend on the Bloomberg It

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<v Speaker 3>really gets to the decoupling that has.

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<v Speaker 2>Been going on between the US and China.

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<v Speaker 4>And what hey, don't call it decoupling.

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<v Speaker 2>What I'm going to call it decoupling. But Biden officials

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<v Speaker 2>are saying, whoa, whoa, whoa slow your role on decoupling.

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<v Speaker 3>Let's get into it with Bloomberg Sean Donn and he's

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<v Speaker 3>senior economics writer Aplomberg News with us on.

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<v Speaker 2>Zoom in Washington, d C. And then we've got the editor.

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<v Speaker 3>Of Bloomberg Business Week, Jill Weber here in our interactive

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<v Speaker 3>Brokers studio. Jill whatever you call it, it's kind of

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<v Speaker 3>a little bit dysfunctional.

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<v Speaker 5>It is.

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<v Speaker 6>I think it's like maybe the Great American Walk back.

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<v Speaker 6>What do you think, Sean, is that is that accurate?

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<v Speaker 4>You know?

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<v Speaker 5>The coupling is a word that I've hated for years.

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<v Speaker 5>It's a word that is it implies like a divorce.

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<v Speaker 5>And I think the US and China are always going

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<v Speaker 5>to be kind of neighbors that try to get along,

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<v Speaker 5>that have a relationship, and they just try and put

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<v Speaker 5>up fences here and there.

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<v Speaker 3>Are they staying together for the kids? That's what we

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<v Speaker 3>want to know, Sean. Are they staying together for the kids?

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<v Speaker 5>I mean the coupling feels a little bit like that, right,

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<v Speaker 5>I mean, it's kind of it's it's it's one of

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<v Speaker 5>those hard ones. Look, the US and China have this

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<v Speaker 5>immense economic relationship. They are among each other's top trading partners.

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<v Speaker 5>They will continue to be among each each other's top

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<v Speaker 5>trading partners for some years to come. I think what

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<v Speaker 5>the US has been trying to do in recent years

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<v Speaker 5>has been to try and cut off certain strategic parts

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<v Speaker 5>of the relationship. You know, we've all been reading about

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<v Speaker 5>the semiconductors. There's this big competition over electric vehicles and

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<v Speaker 5>so on. In the US wants to try and get

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<v Speaker 5>ahead of China and compete. It's tired of having its

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<v Speaker 5>intellectual property stolen. That's something we've seen in recent years

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<v Speaker 5>or recent decades really, and so it's a dysfunctional relationship.

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<v Speaker 5>The US is trying to reset it. It's trying to

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<v Speaker 5>put some boundaries there, and the Chinese are saying, well,

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<v Speaker 5>if you're trying to do that, you're trying to contain us,

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<v Speaker 5>and that's really impolite and that's awful, and so there's

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<v Speaker 5>a terrible shouting match that's going on. The problem for

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<v Speaker 5>all of us and for the global economy is these

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<v Speaker 5>are the world's two largest economies, and if they can't

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<v Speaker 5>get along, if they can't find a floor for their relationship,

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<v Speaker 5>then it really is going to be a terrible buzz stuff.

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<v Speaker 5>And it's not just the kids that are going to

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<v Speaker 5>get hurt, the whole neighborhood.

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<v Speaker 7>That neighborhood being the world so interesting.

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<v Speaker 6>We've heard Janet Yellen and Jake Sullivan recently kind of

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<v Speaker 6>say as much in their remarks and speeches and whatnot.

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<v Speaker 6>Wondering what was the language that jumped out to you

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<v Speaker 6>that sort of attempted to reset with this narrative is yeah,

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<v Speaker 6>so look, I mean.

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<v Speaker 5>It's it's there's two things. One, US officials have been

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<v Speaker 5>trying with increasing frequency to get out there and say

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<v Speaker 5>we are not trying to decouple. We're not trying to

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<v Speaker 5>have this big rerupture with the Chinese economy. We're trying

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<v Speaker 5>to have a sensible, strategic and focused change in the relationship.

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<v Speaker 5>And then something interesting happened when Janet Yellen talking that

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<v Speaker 5>she took that a step further and talked about the

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<v Speaker 5>relationship between national security and the economy. And then a

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<v Speaker 5>week later, Jake Sullivan, the National Security Advisor, came out

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<v Speaker 5>and he started using a term that the Europeans have

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<v Speaker 5>been using and said, rather than decup, we're looking for

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<v Speaker 5>a de risking of the economy, which is kind of

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<v Speaker 5>a more polite Yeah, and it's a very European term.

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<v Speaker 4>It makes perfect sense to me, as jehean. Let me

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<v Speaker 4>first say that I think it's an incredibly well written story.

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<v Speaker 4>I loved it. I breathed through from start to finish,

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<v Speaker 4>which isn't that I always do with my attention span

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<v Speaker 4>on exactly, I have the problems learning disabilities. But I

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<v Speaker 4>think it's right in this you know, black and white

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<v Speaker 4>world where everybody's either in bed together or at war,

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<v Speaker 4>to acknowledge that there can be nuance. Right, we're not

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<v Speaker 4>kind of completely decoup, but we're not going to totally

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<v Speaker 4>isolate China. We just want to de risk and diversify.

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<v Speaker 4>And that makes sense because we've been so concentrated in

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<v Speaker 4>terms of the supply chain. We found out over COVID nineteen,

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<v Speaker 4>over the pandemic, that we had way too many eggs

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<v Speaker 4>in that basket and we need to move a few out.

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<v Speaker 4>But that doesn't mean we're totally leaving.

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<v Speaker 5>And that totally makes sense. We all get that there's

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<v Speaker 5>a problem, though, and that is that the world is

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<v Speaker 5>more complicated and that there aren't these simple levers that

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<v Speaker 5>you pull the kind of d risk or or decouple.

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<v Speaker 5>The fact is is that you and I have been

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<v Speaker 5>buying a whole lot of Chinese goods in recent years.

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<v Speaker 5>And even though you know we've had to try the

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<v Speaker 5>trade wars of the trunk years that we all remember,

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<v Speaker 5>the trade between US and China last year was at

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<v Speaker 5>a record level, in part because of our appetite for

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<v Speaker 5>Chinese goods and a lot of companies, A lot of

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<v Speaker 5>big American companies still want to do business in China.

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<v Speaker 5>Tesla still wants to sell cars in China. In fact,

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<v Speaker 5>it's adding to its factories there. So you know, the

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<v Speaker 5>relationship is we can try and have this kind of

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<v Speaker 5>Washington Beltway conversation about the risking and so on, but

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<v Speaker 5>in some ways it's not just the governments that get

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<v Speaker 5>to choose companies, and consumers are going to affect that

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<v Speaker 5>decision in a lot of ways. And the problem is

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<v Speaker 5>that people are worried, not just about an economic conflict, right,

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<v Speaker 5>people are worried that you get this rhetoric building and building,

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<v Speaker 5>and it gets into things like Taiwan and worries about

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<v Speaker 5>a a move on Taiwan by mainland China and how

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<v Speaker 5>the US might respond in a more belligerent world, and

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<v Speaker 5>that gets out of hand, and then it's going to

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<v Speaker 5>be an even the uglier world.

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<v Speaker 4>So we also don't want to encourage slave labor. We

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<v Speaker 4>don't want to support the Russians in their war in Ukraine.

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<v Speaker 4>You know, there are things that we definitely need to

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<v Speaker 4>be conscious of and make decisions based on those.

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<v Speaker 6>I find this to be a tricky pass for American

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<v Speaker 6>leadership to walk, you know, because it's like they can't

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<v Speaker 6>go maybe full Trump here, because we know what that

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<v Speaker 6>looks like. And there's some version of backpedaling that is happening.

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<v Speaker 6>But they can't backpedal too much because then if it's

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<v Speaker 6>going to be Biden in the election, like you know.

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<v Speaker 4>We got back pedaling on China and on Saudi Arabia,

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<v Speaker 4>come on the rematch.

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<v Speaker 5>And I think that's and I think that's one of

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<v Speaker 5>the big issues that we have right now, and it's

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<v Speaker 5>why we're seeing this language now. The administration is trying

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<v Speaker 5>very hard to tamp down the relationship, to tamp down

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<v Speaker 5>the rhetoric, because it knows that in the next year,

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<v Speaker 5>as we go into a presidential cycle, things are going

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<v Speaker 5>to ratchet up again and it's going to get even

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<v Speaker 5>more heated. So let's try and bring things down for

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<v Speaker 5>earth a little bit now, and because we know what's

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<v Speaker 5>coming ahead, and we also you know, it's a relationship

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<v Speaker 5>that's not going to go away, and I think, you know,

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<v Speaker 5>you're trying to set these new guardrails for the relationship.

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<v Speaker 5>The administration has worked very hard to try and keep

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<v Speaker 5>it focused, but the rest of the world is really

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<v Speaker 5>worried about this. And as much as the language is

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<v Speaker 5>aimed towards Beijing coming out of Washington right now to

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<v Speaker 5>try and reduce the temperature there, it's also about telling

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<v Speaker 5>allies that, look, we're not trying to get into a

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<v Speaker 5>conflict here. We're not trying to have a major rupture

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<v Speaker 5>between the world's two largest economies. We know that this

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<v Speaker 5>is an important economic relationship and it's one that's going

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<v Speaker 5>to endure no matter what we do. Uh, And we

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<v Speaker 5>don't want the rest of the world to suffer as

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<v Speaker 5>a result of of us going down a chaotic path.

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<v Speaker 7>Sehn.

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<v Speaker 6>Do you think the Biden administration would have wanted to

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<v Speaker 6>have had this out in the open like this earlier.

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<v Speaker 7>If not for spy balloons entering the lexicon?

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<v Speaker 5>Yeah, so, I mean, we know, you know, one of

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<v Speaker 5>the things I heard from from from folks as I

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<v Speaker 5>was reporting this piece was a desire to get back

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<v Speaker 5>to Bali And that's the phrase that they use. And

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<v Speaker 5>Bali is where last November, Uh, President Biden and Chu Jinping.

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<v Speaker 7>This really is a romantic company.

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<v Speaker 5>We got to get back to thee they shot down,

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<v Speaker 5>and they had their you know, they had their shot

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<v Speaker 5>down in that kind of promise more engagement. They were

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<v Speaker 5>going to get along better. Anthony Blincoln was going to

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<v Speaker 5>head over there earlier this year, and then of course

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<v Speaker 5>that balloon drifted over and everything went the pot. And

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<v Speaker 5>you know what people in the youuistration are trying to

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<v Speaker 5>do now is to get things back into a place

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<v Speaker 5>where we can start getting that engagement again. There can

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<v Speaker 5>be a frank conversation and you can talk through your

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<v Speaker 5>issues rather than yell at each other. It's completely unclear

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<v Speaker 5>whether that's actually going to happen.

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<v Speaker 3>Yeah, But at the same time, and I'm going to

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<v Speaker 3>bring up something Matt you shared, but it's also shown

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<v Speaker 3>in your story that you know, it's not just the

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<v Speaker 3>Biden administration in the US, you know, with a delicate

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<v Speaker 3>balance when it comes to a relationship with China. And

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<v Speaker 3>I understand that these two are the biggest superpowers out there,

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<v Speaker 3>and I understand why it's so important. But Matt you

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<v Speaker 3>shared earlier that Italy has signaled to the US that

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<v Speaker 3>it tends to pull out of an investment packed with

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<v Speaker 3>China before the end of the year. We're talking about

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<v Speaker 3>Belt Road, which has been such a big Chinese initiative.

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<v Speaker 3>There's a bigger, broader global thing going on where everybody's

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<v Speaker 3>being very delicate. It feels like slowly when it comes

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<v Speaker 3>to China and their relationship, even Apple as they pivot

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<v Speaker 3>to India a little bit, there's still like, you know,

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<v Speaker 3>Tim Cooks over there, I love you, I love you,

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<v Speaker 3>China present shit, you know what I mean.

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<v Speaker 2>Like it's this delicate balance.

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<v Speaker 5>Yeah, and look, the rest of the world hates where

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<v Speaker 5>it's stuck right now, right because they're stuck in between

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<v Speaker 5>these two quarreling parents, and it has they have important

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<v Speaker 5>relationships with both with the world.

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<v Speaker 3>But isn't it like the whole world kind of stepping

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<v Speaker 3>back a little bit from China.

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<v Speaker 5>Yeah, the whole world is everyone's reconsidering their their relationship

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<v Speaker 5>with China, you know, and for all the reasons he

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<v Speaker 5>talked about, whether it's slave labor in Xinjiang or whether

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<v Speaker 5>it's just an over alliance on everything from semiconductors to

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<v Speaker 5>antibiotics coming out of China. At the same time, I

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<v Speaker 5>think if you talk to allies of the US, a

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<v Speaker 5>lot of them are also have their concerns about US

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<v Speaker 5>industrial policy right now, and what they feel like is

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<v Speaker 5>a more selfish economic policy coming out of the United

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<v Speaker 5>States and the potential consequences for them there. And they

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<v Speaker 5>also are more broadly concerned about a world that will

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<v Speaker 5>become more fragmented and what that might mean. And IMF

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<v Speaker 5>came about, you know, a few weeks ago, so that

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<v Speaker 5>was going to mean slower growth in the world, which

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<v Speaker 5>no one wants.

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<v Speaker 4>It's you know, I would just I want to talk

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<v Speaker 4>about what's going on debt ceiling, but I do want

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<v Speaker 4>to tell our listeners to encourage them to go to

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<v Speaker 4>the website read your story because it's a great piece,

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<v Speaker 4>and even better, buy the magazine because I like the

0:11:38.840 --> 0:11:39.959
<v Speaker 4>actual paper copy.

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0:12:03.720 --> 0:12:08.000
<v Speaker 4>at Mackissik. It is the oldest minority owned professional design

0:12:08.040 --> 0:12:11.080
<v Speaker 4>and construction firm in the US. It's, as Carol was

0:12:11.080 --> 0:12:13.160
<v Speaker 4>saying before the breakout family owned business for more than

0:12:13.200 --> 0:12:19.160
<v Speaker 4>one hundred years, and I think it is incredibly interesting now,

0:12:19.320 --> 0:12:22.199
<v Speaker 4>especially because of all the problems we're having regional banks,

0:12:22.240 --> 0:12:25.600
<v Speaker 4>the jump in interest rates, the tightening of credit markets.

0:12:26.240 --> 0:12:28.400
<v Speaker 4>So I'm very pleased to welcome Cheryl to the program.

0:12:28.840 --> 0:12:31.560
<v Speaker 4>Thanks so much for joining us. Cheryl, Hi, how you

0:12:31.640 --> 0:12:36.160
<v Speaker 4>doing it? We're doing I'll speak for both of us, fantastic, Sarah.

0:12:36.760 --> 0:12:38.280
<v Speaker 4>I love it because we have a whole week ahead

0:12:38.280 --> 0:12:41.120
<v Speaker 4>of us and I'm just getting settled in here. Let

0:12:41.160 --> 0:12:45.920
<v Speaker 4>me get first your take on being the oldest minority

0:12:45.960 --> 0:12:49.800
<v Speaker 4>owned business, the oldest my already know design and construction

0:12:49.920 --> 0:12:53.280
<v Speaker 4>business in the US, and a family owned business for

0:12:53.320 --> 0:12:55.160
<v Speaker 4>one hundred years. How much does it mean to you?

0:12:55.200 --> 0:12:56.839
<v Speaker 4>How important is that to you?

0:12:57.200 --> 0:12:57.480
<v Speaker 9>Wow?

0:12:57.720 --> 0:13:02.480
<v Speaker 10>I stand on the shoulders of other generations, and so

0:13:02.920 --> 0:13:06.000
<v Speaker 10>you know, I feel like I'm winning before I get started.

0:13:06.760 --> 0:13:07.360
<v Speaker 11>For them to.

0:13:08.400 --> 0:13:13.640
<v Speaker 10>Navigate this country of ours, this great country of hours,

0:13:13.679 --> 0:13:18.360
<v Speaker 10>for five generations is an amazing thing, and so I

0:13:18.440 --> 0:13:21.840
<v Speaker 10>feel honored, I feel blessed, and I feel as though

0:13:21.920 --> 0:13:26.440
<v Speaker 10>I have a mission to keep this company going, especially

0:13:26.480 --> 0:13:27.440
<v Speaker 10>in New York City.

0:13:27.800 --> 0:13:30.160
<v Speaker 4>So how are you doing in that mission right now?

0:13:30.200 --> 0:13:32.280
<v Speaker 4>How is business at Meckissick.

0:13:33.640 --> 0:13:35.079
<v Speaker 11>Business is booming.

0:13:36.600 --> 0:13:39.480
<v Speaker 10>New York just passed a three hundred and twenty two

0:13:39.559 --> 0:13:44.160
<v Speaker 10>billion dollar budget and a lot of that is capital

0:13:44.320 --> 0:13:47.280
<v Speaker 10>work throughout the state. And then of course we have

0:13:47.320 --> 0:13:50.880
<v Speaker 10>a significantly large budget for the City of New York,

0:13:51.600 --> 0:13:56.679
<v Speaker 10>so there is plenty of work for Mechissick. Corporations are

0:13:57.240 --> 0:14:01.360
<v Speaker 10>working or have large capital programs. I think the only

0:14:01.559 --> 0:14:05.400
<v Speaker 10>area where we're seeing some slippage is with our developers

0:14:05.480 --> 0:14:10.280
<v Speaker 10>with respect to residential and office space. I think the

0:14:10.320 --> 0:14:16.280
<v Speaker 10>interest rates are affecting their ability to make these deals work.

0:14:17.280 --> 0:14:19.760
<v Speaker 10>And then we also need to deal with our affordable housing.

0:14:19.920 --> 0:14:22.000
<v Speaker 10>We need to get something in place where we can

0:14:22.080 --> 0:14:26.160
<v Speaker 10>get some assistance from our government for affordable housing so

0:14:26.200 --> 0:14:28.480
<v Speaker 10>we can make those projects work as well.

0:14:28.640 --> 0:14:29.600
<v Speaker 2>Cheryl, take a step back.

0:14:29.680 --> 0:14:32.440
<v Speaker 3>Let's go to office because we certainly are just trying

0:14:32.480 --> 0:14:34.680
<v Speaker 3>to figure out if that's the next shoe to drop.

0:14:35.040 --> 0:14:37.400
<v Speaker 3>And we've been speaking a lot about, you know, the

0:14:37.880 --> 0:14:40.840
<v Speaker 3>nervousness that continues, certainly among the regional banks. They rallied

0:14:40.840 --> 0:14:43.800
<v Speaker 3>a bunch of them today, but nonetheless there's still questions.

0:14:44.560 --> 0:14:49.880
<v Speaker 3>So office space specifically, how would you describe it? And

0:14:50.080 --> 0:14:52.280
<v Speaker 3>you guys really work within the state of New York.

0:14:52.320 --> 0:14:54.440
<v Speaker 12>Correct, we're in New York.

0:14:54.480 --> 0:14:57.880
<v Speaker 11>We're in Philadelphia, Orlando, and down Nashville.

0:14:57.920 --> 0:15:02.800
<v Speaker 10>And you know, office space right now has dwindled, as

0:15:02.840 --> 0:15:06.000
<v Speaker 10>we know, as a result of COVID. You know, if

0:15:06.040 --> 0:15:09.480
<v Speaker 10>we just take my hometown Nashville, Tennessee, where Amazon just

0:15:09.560 --> 0:15:13.440
<v Speaker 10>finished a beautiful, you know, mid rise building, there's nobody

0:15:13.520 --> 0:15:16.640
<v Speaker 10>in it. People do not want to come to work

0:15:16.760 --> 0:15:19.720
<v Speaker 10>the way they used to. Most people want to well,

0:15:19.720 --> 0:15:22.280
<v Speaker 10>I wouldn't say most, but a lot of people want.

0:15:22.160 --> 0:15:24.280
<v Speaker 11>To work remotely.

0:15:24.960 --> 0:15:29.760
<v Speaker 10>We in Nashville, we're trying to renovate or develop a

0:15:29.800 --> 0:15:33.920
<v Speaker 10>building that my building, my grandfather built in nineteen twenty four.

0:15:34.440 --> 0:15:36.720
<v Speaker 10>And I was just on the phone with a prominent

0:15:36.760 --> 0:15:40.760
<v Speaker 10>developer on Saturday saying, Okay, can we make it office space?

0:15:40.880 --> 0:15:43.600
<v Speaker 11>And the answer is absolutely not. You can't get a

0:15:43.640 --> 0:15:45.520
<v Speaker 11>loan from banks for office space.

0:15:46.360 --> 0:15:48.600
<v Speaker 10>For my understanding, a lot of the banks that are

0:15:48.600 --> 0:15:51.520
<v Speaker 10>failing are the banks that you know let money on

0:15:52.120 --> 0:15:56.000
<v Speaker 10>you know, office space construction. And so you know, it

0:15:56.040 --> 0:16:00.240
<v Speaker 10>is in a crisis right now. And you know, I

0:16:00.280 --> 0:16:04.280
<v Speaker 10>don't see, from what I can tell, how we're going

0:16:04.320 --> 0:16:08.760
<v Speaker 10>to recover with the office space without doing maybe some conversions.

0:16:09.120 --> 0:16:10.920
<v Speaker 4>Yeah, well the conversions.

0:16:12.240 --> 0:16:15.080
<v Speaker 11>Yeah, conversions. Housing is a big issue in New York.

0:16:15.120 --> 0:16:18.160
<v Speaker 10>As we know, we need over eight hundred thousand units

0:16:18.160 --> 0:16:22.840
<v Speaker 10>of affordable housing. Housing is an issue in most urban cities,

0:16:23.800 --> 0:16:26.360
<v Speaker 10>and so you know, maybe that's the answer.

0:16:26.600 --> 0:16:28.840
<v Speaker 3>But a bunch of developers I talked with at Milkin

0:16:28.920 --> 0:16:31.080
<v Speaker 3>last week, they said, how do you take those buildings

0:16:31.080 --> 0:16:35.280
<v Speaker 3>that are in midtown old buildings like they're just not

0:16:35.880 --> 0:16:38.800
<v Speaker 3>the idea of converting them into housing. It just doesn't

0:16:38.840 --> 0:16:41.240
<v Speaker 3>make sense. You really need to knock them down. But

0:16:41.280 --> 0:16:45.120
<v Speaker 3>then there's the problems and issues where the exteriors you know,

0:16:45.200 --> 0:16:48.160
<v Speaker 3>are old and wonderful and nobody wants to mess them up.

0:16:48.200 --> 0:16:51.320
<v Speaker 3>So it's it's complicated and converting isn't so easy, or

0:16:51.640 --> 0:16:52.760
<v Speaker 3>you know, creating conversions.

0:16:53.680 --> 0:16:56.080
<v Speaker 4>Is this good news for me chistic? I mean, can

0:16:56.160 --> 0:16:59.240
<v Speaker 4>you guys do conversions or can you go to places

0:16:59.280 --> 0:17:01.320
<v Speaker 4>where we knock down buildings and put up new ones?

0:17:01.400 --> 0:17:02.840
<v Speaker 4>Is this great news?

0:17:03.720 --> 0:17:04.920
<v Speaker 11>We absolutely can.

0:17:05.160 --> 0:17:10.399
<v Speaker 10>I mean any construction project that's vertical, we are happy

0:17:10.440 --> 0:17:14.680
<v Speaker 10>to participate it. On in I can't say it's great

0:17:14.720 --> 0:17:18.080
<v Speaker 10>news for the private industry because we still need our

0:17:18.160 --> 0:17:21.200
<v Speaker 10>developers to be able to borrow money at a good

0:17:21.240 --> 0:17:24.840
<v Speaker 10>interest rate, so the deal makes sense for them, and

0:17:24.920 --> 0:17:27.360
<v Speaker 10>so that's a concern for our industry.

0:17:27.520 --> 0:17:30.720
<v Speaker 2>So how much has it slowed down? Like does it?

0:17:30.800 --> 0:17:33.120
<v Speaker 3>Is it crisis situation in terms of what you've seen

0:17:33.160 --> 0:17:35.720
<v Speaker 3>slow down in terms of development? And what tier of

0:17:35.760 --> 0:17:38.000
<v Speaker 3>the market are you talking you know, is it top

0:17:38.080 --> 0:17:39.520
<v Speaker 3>level top tier properties?

0:17:39.680 --> 0:17:40.119
<v Speaker 2>Is it?

0:17:40.200 --> 0:17:40.280
<v Speaker 4>Like?

0:17:40.359 --> 0:17:40.920
<v Speaker 2>What is it?

0:17:42.400 --> 0:17:42.600
<v Speaker 5>So?

0:17:43.600 --> 0:17:46.679
<v Speaker 10>So at McKissick, the majority of our work is with

0:17:46.880 --> 0:17:50.479
<v Speaker 10>large institutions and government. So we work for the higher

0:17:50.640 --> 0:17:52.960
<v Speaker 10>ed K through twelve, you know, like.

0:17:52.920 --> 0:17:55.040
<v Speaker 2>The Columbia Business School right uptown.

0:17:55.400 --> 0:18:01.560
<v Speaker 10>Columbia Business School, Lehman College, Hospital Olds, you know, Cony Allen.

0:18:01.880 --> 0:18:05.280
<v Speaker 10>So those projects are moving along. You know, the MTA

0:18:05.600 --> 0:18:08.440
<v Speaker 10>looks like you know, their their capital program is going

0:18:08.480 --> 0:18:09.080
<v Speaker 10>to be whole.

0:18:09.520 --> 0:18:13.960
<v Speaker 11>And so that is the bulk of of mckissick's work.

0:18:15.359 --> 0:18:20.760
<v Speaker 10>We're not really working for private developers building residential or

0:18:20.880 --> 0:18:24.159
<v Speaker 10>office space. But I can only talk to you about

0:18:24.200 --> 0:18:27.240
<v Speaker 10>what my colleagues are telling me that are in that area,

0:18:27.880 --> 0:18:33.320
<v Speaker 10>and they're telling me that their projects are slipping out

0:18:33.520 --> 0:18:37.719
<v Speaker 10>to the point that you know, they're carrying staff in

0:18:37.800 --> 0:18:40.359
<v Speaker 10>hopes that a project's going to start in six months,

0:18:40.680 --> 0:18:43.040
<v Speaker 10>but what if it doesn't what if it gets you know,

0:18:43.960 --> 0:18:47.840
<v Speaker 10>trashed completely because the interest rates are still a problem.

0:18:48.160 --> 0:18:50.240
<v Speaker 10>You know, there are companies in New York who have

0:18:50.359 --> 0:18:54.159
<v Speaker 10>gone out of business in the last two months just

0:18:54.200 --> 0:18:55.199
<v Speaker 10>around that issue.

0:18:55.560 --> 0:18:57.800
<v Speaker 11>Yeah, because they've felt staff you.

0:18:57.680 --> 0:18:59.920
<v Speaker 4>Know, you basically and mc kissing you have the dream

0:19:00.080 --> 0:19:02.919
<v Speaker 4>product mix. Then you want to be in hospitals, you

0:19:03.000 --> 0:19:05.840
<v Speaker 4>want to be in universities, you want to be in

0:19:05.880 --> 0:19:09.840
<v Speaker 4>you know, federal government projects, because they get credit cards exactly.

0:19:10.280 --> 0:19:14.359
<v Speaker 4>But your colleagues that are in other sectors, they're not

0:19:14.480 --> 0:19:16.480
<v Speaker 4>able to get loans, or if they are, the loans

0:19:16.480 --> 0:19:18.560
<v Speaker 4>are just unaffordably expensive, is what you're saying.

0:19:19.280 --> 0:19:23.560
<v Speaker 11>Well, yes, right, And as a result, the builders for

0:19:23.680 --> 0:19:26.880
<v Speaker 11>those developers, you know, what do they do with their

0:19:26.920 --> 0:19:30.840
<v Speaker 11>staff because the way we went our work is by

0:19:30.880 --> 0:19:35.960
<v Speaker 11>having confident staff to you know, implement, you know, whatever

0:19:36.480 --> 0:19:38.040
<v Speaker 11>project that we're going after.

0:19:38.680 --> 0:19:42.400
<v Speaker 10>And you know, staff again is hard to find, so

0:19:42.480 --> 0:19:47.359
<v Speaker 10>you can't let us a key staff person go. You

0:19:47.440 --> 0:19:50.160
<v Speaker 10>have to hold onto them in hopes that the project

0:19:50.200 --> 0:19:53.240
<v Speaker 10>is going to start. And so I'm seeing that across

0:19:53.240 --> 0:19:58.879
<v Speaker 10>the board with these construction firms that work for private

0:19:58.920 --> 0:20:04.760
<v Speaker 10>developers that are in the office space or residential space.

0:20:04.840 --> 0:20:06.800
<v Speaker 3>Yeah, we've heard that a lot in terms of the

0:20:06.880 --> 0:20:09.119
<v Speaker 3>labor market, that builders just don't have the people that

0:20:09.160 --> 0:20:09.919
<v Speaker 3>they need.

0:20:09.840 --> 0:20:10.479
<v Speaker 2>As a result.

0:20:10.480 --> 0:20:10.840
<v Speaker 7>What is that?

0:20:10.880 --> 0:20:13.480
<v Speaker 3>Still is that still putting pressure on costs, the development

0:20:13.480 --> 0:20:17.040
<v Speaker 3>costs and just unfortunately Shara only have about thirty forty

0:20:17.040 --> 0:20:17.680
<v Speaker 3>seconds left.

0:20:17.760 --> 0:20:21.160
<v Speaker 10>Yeah, well development costs, everything's going up because the supply

0:20:21.280 --> 0:20:26.840
<v Speaker 10>chain is a problem still So still yes, still, yes,

0:20:27.600 --> 0:20:31.560
<v Speaker 10>you know there are contractors who have contingencies just based

0:20:31.600 --> 0:20:34.800
<v Speaker 10>on supply chain issues and the cost that might you

0:20:34.800 --> 0:20:38.000
<v Speaker 10>know result as the you know, because you can't get

0:20:38.400 --> 0:20:41.679
<v Speaker 10>switch gear or any other kind of product in a

0:20:41.840 --> 0:20:44.199
<v Speaker 10>you know, reasonable amount of time. And as we know,

0:20:44.359 --> 0:20:46.680
<v Speaker 10>time is money, and so you want to make sure,

0:20:46.840 --> 0:20:49.320
<v Speaker 10>you know, you cover yourself if you have to wait

0:20:49.800 --> 0:20:53.400
<v Speaker 10>on a supply chain. So yeah, those issues are still

0:20:53.400 --> 0:20:53.879
<v Speaker 10>out there.

0:20:54.200 --> 0:20:57.119
<v Speaker 3>Yeah that listen, what a great dvantage point and just

0:20:57.240 --> 0:20:59.280
<v Speaker 3>very real in terms of what's going on and what

0:20:59.359 --> 0:21:00.000
<v Speaker 3>a great company.

0:21:00.200 --> 0:21:02.080
<v Speaker 4>I want to come over and check out the buildings

0:21:02.119 --> 0:21:04.480
<v Speaker 4>you're putting up. It sounds awesome. I want to go

0:21:04.480 --> 0:21:06.560
<v Speaker 4>to Nashville and see that building their grandfather put up.

0:21:06.640 --> 0:21:08.280
<v Speaker 2>Let's go on the road, Cheryl'll come back soon. We

0:21:08.320 --> 0:21:11.600
<v Speaker 2>would love it. Cheryl McKissick Daniels. She's president at McKissick.

0:21:12.000 --> 0:21:16.320
<v Speaker 3>Joining us via zoom in New York City.

0:21:20.119 --> 0:21:23.680
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:21:23.720 --> 0:21:26.400
<v Speaker 1>live weekdays from two to five pm Eastern.

0:21:26.280 --> 0:21:29.639
<v Speaker 8>On Bloomberg Radio, the Bloomberg Business app, and YouTube.

0:21:29.880 --> 0:21:32.920
<v Speaker 1>You can also listen live to our flagship New York station,

0:21:33.480 --> 0:21:36.399
<v Speaker 1>Just say Alexa, play Bloomberg eleven thirty.

0:21:37.200 --> 0:21:38.639
<v Speaker 3>All right, we want to kind of ship back to

0:21:38.680 --> 0:21:41.040
<v Speaker 3>the markets if we may, because one name that's certainly

0:21:41.080 --> 0:21:43.800
<v Speaker 3>been front and center and that has palent Her soaring

0:21:43.800 --> 0:21:46.600
<v Speaker 3>more than twenty percent. We saw it in the aftermarket,

0:21:46.680 --> 0:21:48.280
<v Speaker 3>we saw it in today's trade. I was just going

0:21:48.359 --> 0:21:50.320
<v Speaker 3>to pull it up on the Bloomberg and see where

0:21:50.359 --> 0:21:52.520
<v Speaker 3>we are up twenty three percent, so pretty much holding

0:21:52.560 --> 0:21:55.720
<v Speaker 3>on to its gains. A lot of it is because

0:21:55.760 --> 0:21:58.480
<v Speaker 3>they talk so much about AI on the call with analysts.

0:21:58.520 --> 0:22:00.800
<v Speaker 3>So let's get to it with our Yes Bloomberg News

0:22:00.880 --> 0:22:04.720
<v Speaker 3>VC and Startups reporter Lazette Chapman in our San Francisco bureau.

0:22:04.800 --> 0:22:08.600
<v Speaker 3>And Andrew McAfee, MIT scientist and work Helix co founder

0:22:09.040 --> 0:22:12.120
<v Speaker 3>at the MIT Sloan School of Management. He joins us

0:22:12.320 --> 0:22:14.960
<v Speaker 3>via zoom in Boston. Folks, thanks so much for being

0:22:14.960 --> 0:22:17.600
<v Speaker 3>here with Matt and myself, Lazette. First off, just briefly

0:22:18.200 --> 0:22:20.800
<v Speaker 3>kind of what we heard from Palenteer, in particular the

0:22:20.880 --> 0:22:24.240
<v Speaker 3>excitement and narrative around AI. Tell us kind of what

0:22:24.280 --> 0:22:25.119
<v Speaker 3>we got from the company.

0:22:25.920 --> 0:22:26.520
<v Speaker 11>Yeah. Sure.

0:22:26.680 --> 0:22:30.879
<v Speaker 13>Palenteer, of course, is a tech company that's been unprofitable

0:22:30.920 --> 0:22:34.600
<v Speaker 13>for two decades up until this past quarter, so that

0:22:34.720 --> 0:22:37.000
<v Speaker 13>was another thing that's been driving the surge and the

0:22:37.000 --> 0:22:40.320
<v Speaker 13>stock price. They did a surprise profit, and then they

0:22:40.320 --> 0:22:44.439
<v Speaker 13>pivoted very quickly to talking about this AI platform that

0:22:44.480 --> 0:22:46.320
<v Speaker 13>they say that they've been working on for the past

0:22:46.359 --> 0:22:49.959
<v Speaker 13>several months. They will be releasing to select customers they

0:22:49.960 --> 0:22:52.199
<v Speaker 13>didn't say who a little later this month, and then

0:22:52.200 --> 0:22:56.680
<v Speaker 13>it'll be available more broadly for their hundreds of customers

0:22:56.720 --> 0:22:59.240
<v Speaker 13>in the months to come. Of course, their customers include

0:22:59.440 --> 0:23:02.720
<v Speaker 13>some of the the you know, largest branches of the

0:23:02.760 --> 0:23:05.359
<v Speaker 13>military here in the US, as well as that of

0:23:05.359 --> 0:23:07.440
<v Speaker 13>our allies, along with a bunch of commercial customers.

0:23:07.720 --> 0:23:08.920
<v Speaker 2>So that's driving the news.

0:23:09.320 --> 0:23:13.119
<v Speaker 4>So and Andy, let me ask you about, you know,

0:23:14.080 --> 0:23:16.120
<v Speaker 4>what kind of worry this could be When I read

0:23:16.160 --> 0:23:19.760
<v Speaker 4>the Pallenteer story and I saw that they deal with

0:23:20.160 --> 0:23:26.280
<v Speaker 4>very sensitive data, criminal databases, DMV records, phone data, and

0:23:26.320 --> 0:23:29.639
<v Speaker 4>that they would be providing solutions AI solutions to the

0:23:29.680 --> 0:23:33.720
<v Speaker 4>military to bring to dig through this data as well

0:23:33.760 --> 0:23:36.200
<v Speaker 4>as you know, other institutions. I thought it's a little

0:23:36.240 --> 0:23:39.320
<v Speaker 4>bit scary, and then I saw the CEOs quote Alex

0:23:39.400 --> 0:23:43.000
<v Speaker 4>Carpi says the machine must remain subordinate to its creator,

0:23:43.240 --> 0:23:47.840
<v Speaker 4>as if the alternative is even a possibility. You Andy

0:23:47.920 --> 0:23:50.439
<v Speaker 4>wrote the book Raise Against the Machine with my buddy

0:23:50.720 --> 0:23:53.520
<v Speaker 4>John Brynielsen's brother Eric, so it's great to have you

0:23:53.520 --> 0:23:55.840
<v Speaker 4>on the program. Should we be worried about this AI,

0:23:56.080 --> 0:23:58.920
<v Speaker 4>especially in the hands of a company like Palenteer.

0:23:58.760 --> 0:24:03.040
<v Speaker 14>We should always be mindful when extraordinarily powerful new technologies

0:24:03.040 --> 0:24:06.880
<v Speaker 14>come out, and generative AI is an extremely powerful new technology.

0:24:07.119 --> 0:24:09.240
<v Speaker 14>One way to think about it is, we have finally

0:24:09.400 --> 0:24:14.600
<v Speaker 14>built a technology that understands this, that is fluent in

0:24:14.680 --> 0:24:17.080
<v Speaker 14>human languages. This is kind of wild and we weren't

0:24:17.119 --> 0:24:19.720
<v Speaker 14>expecting it, and Matt, like you point out it can

0:24:19.760 --> 0:24:21.320
<v Speaker 14>be used for all kinds of purposes.

0:24:21.480 --> 0:24:22.920
<v Speaker 9>I'm actually optimistic.

0:24:23.160 --> 0:24:25.520
<v Speaker 14>I think Palenteer has a pretty long PreK record of

0:24:25.920 --> 0:24:29.840
<v Speaker 14>safeguarding the sensitive information that it's given and of building

0:24:29.960 --> 0:24:34.399
<v Speaker 14>very powerful technologies that normal human beings can work effectively with.

0:24:34.720 --> 0:24:37.120
<v Speaker 14>I think it's an ideal match for this new category

0:24:37.119 --> 0:24:40.119
<v Speaker 14>of generative AI, which is all about letting us do

0:24:40.400 --> 0:24:44.200
<v Speaker 14>this and interact with huge amounts of data.

0:24:44.040 --> 0:24:44.920
<v Speaker 2>Well well ways.

0:24:44.920 --> 0:24:47.119
<v Speaker 3>Like Lizette Nandy, this is why I wanted also to

0:24:47.160 --> 0:24:48.639
<v Speaker 3>talk to you, because I feel like we need to

0:24:48.640 --> 0:24:51.960
<v Speaker 3>be rationalbal rational as we talk about AI, because I

0:24:51.960 --> 0:24:53.600
<v Speaker 3>feel like there's a lot of folks out there saying,

0:24:53.600 --> 0:24:56.679
<v Speaker 3>oh my god, you know the world's coming to an end. Andy,

0:24:56.720 --> 0:25:00.199
<v Speaker 3>what is the smart conversation? As you say, you know,

0:25:00.240 --> 0:25:03.119
<v Speaker 3>there's lots of data and information in the hands of

0:25:03.160 --> 0:25:05.919
<v Speaker 3>a lot of companies already, I would say and argue

0:25:05.960 --> 0:25:07.280
<v Speaker 3>just about every company.

0:25:06.920 --> 0:25:09.199
<v Speaker 2>That's out there on all of us. So what is

0:25:09.240 --> 0:25:10.840
<v Speaker 2>the smart, rational.

0:25:10.480 --> 0:25:13.800
<v Speaker 3>Conversation to have around AI and a company like Palenteer.

0:25:14.400 --> 0:25:18.040
<v Speaker 14>And what's not going to happen is that chat GPT

0:25:18.359 --> 0:25:21.760
<v Speaker 14>is inadvertently or with Palenteer's help, going to take all

0:25:21.880 --> 0:25:24.480
<v Speaker 14>the things that the NSA knows about it and tell

0:25:24.520 --> 0:25:27.080
<v Speaker 14>the Internet about all that sensitive information.

0:25:27.480 --> 0:25:29.000
<v Speaker 9>That's so unlikely.

0:25:29.040 --> 0:25:30.879
<v Speaker 14>We don't need to spend a lot of time on that.

0:25:31.200 --> 0:25:33.480
<v Speaker 14>What it's going to do instead is let an analyst

0:25:33.560 --> 0:25:38.640
<v Speaker 14>at the NSA use different techniques to interact with huge

0:25:38.680 --> 0:25:41.560
<v Speaker 14>amounts of information and draw conclusions with it. Now, again,

0:25:41.800 --> 0:25:44.120
<v Speaker 14>there are risks associated with that, but I think it's

0:25:44.200 --> 0:25:49.800
<v Speaker 14>fundamentally a quantum jump in productivity and in our ability

0:25:49.840 --> 0:25:52.160
<v Speaker 14>to deal with machines and huge amounts of information.

0:25:52.600 --> 0:25:55.000
<v Speaker 4>Well, you could, I mean see AI, Lisette. You could

0:25:55.040 --> 0:25:58.360
<v Speaker 4>see the AI using for example, the way back machine

0:25:58.680 --> 0:26:02.320
<v Speaker 4>and digging into Carol's social media profiles. Maybe she posted

0:26:02.359 --> 0:26:04.639
<v Speaker 4>a picture that wasn't very flattering on friends to her

0:26:04.920 --> 0:26:05.800
<v Speaker 4>back in the day.

0:26:05.640 --> 0:26:08.640
<v Speaker 2>And not all Facebook, not on friends, and now.

0:26:08.440 --> 0:26:10.760
<v Speaker 4>Someone could go and find it. Isn't this a concern?

0:26:10.920 --> 0:26:12.560
<v Speaker 4>I mean, you could find it anyway, But this is

0:26:12.560 --> 0:26:14.920
<v Speaker 4>a giant machine helping you to do that kind of things.

0:26:15.080 --> 0:26:16.520
<v Speaker 4>That kind of stuff come on in z that.

0:26:17.320 --> 0:26:18.760
<v Speaker 13>Yeah, I was just going to say, I think it's

0:26:18.840 --> 0:26:22.480
<v Speaker 13>really worth keeping some sense of context around this. This

0:26:22.560 --> 0:26:27.600
<v Speaker 13>is information and data that Palent's software has allowed, has aggregated,

0:26:27.880 --> 0:26:33.919
<v Speaker 13>cleaned and integrated for you know, the intelligence communities, for

0:26:34.040 --> 0:26:36.960
<v Speaker 13>the IRS, for the veterans affairs, for all sorts of

0:26:36.960 --> 0:26:40.920
<v Speaker 13>military operations of ourselves and our and our allies for

0:26:41.000 --> 0:26:45.040
<v Speaker 13>over a decade, if not more. The AI tweaked to it,

0:26:45.080 --> 0:26:49.159
<v Speaker 13>if you will, is simply applying that data against large

0:26:49.280 --> 0:26:53.119
<v Speaker 13>language models to go ahead and make it more accessible

0:26:53.160 --> 0:26:57.920
<v Speaker 13>to more users that have the permissions to access this

0:26:58.160 --> 0:27:01.760
<v Speaker 13>different information, this different data sets. You're not allowed to

0:27:01.800 --> 0:27:04.320
<v Speaker 13>access it, you're not allowed to use it without it

0:27:04.400 --> 0:27:07.720
<v Speaker 13>being logged and pallateer software, which they say is going

0:27:07.760 --> 0:27:11.080
<v Speaker 13>to make them more secure or already more secure than

0:27:11.080 --> 0:27:12.840
<v Speaker 13>some of the alternatives on the market.

0:27:12.880 --> 0:27:14.919
<v Speaker 3>But Andy my understanding, there was a great thing. I

0:27:14.920 --> 0:27:16.280
<v Speaker 3>think it was in the times of just kind of

0:27:16.280 --> 0:27:20.480
<v Speaker 3>a very basic understanding of how generative AI works and

0:27:20.480 --> 0:27:23.080
<v Speaker 3>how it like initially it's kind of code and gobblygook,

0:27:23.080 --> 0:27:25.080
<v Speaker 3>and then it gets smarter and smarter the more information

0:27:25.119 --> 0:27:27.520
<v Speaker 3>that's kind of put into it, So something like whatever

0:27:27.600 --> 0:27:30.520
<v Speaker 3>Palenteer is using or anybody out there gets better and

0:27:30.560 --> 0:27:33.520
<v Speaker 3>smarter and more accurate the more data that goes into it.

0:27:33.600 --> 0:27:38.000
<v Speaker 3>So two mets concerns and sentient. He's freaking out here,

0:27:38.080 --> 0:27:39.160
<v Speaker 3>he's heading for the hills.

0:27:39.600 --> 0:27:41.040
<v Speaker 4>Amazing, I mean use that word.

0:27:41.080 --> 0:27:43.399
<v Speaker 9>That's that's the term crator worry that don't need to.

0:27:43.359 --> 0:27:46.600
<v Speaker 3>Discuss what's the balance of making our next level of

0:27:46.640 --> 0:27:50.560
<v Speaker 3>AI maybe incredible for our world and smarter and safer,

0:27:51.280 --> 0:27:53.800
<v Speaker 3>and also securing that it doesn't get into the wrong hands.

0:27:54.000 --> 0:27:56.320
<v Speaker 14>Well, I think, like we just heard, companies like Pealantry

0:27:56.400 --> 0:27:58.639
<v Speaker 14>have a long track record of segregating the data and

0:27:58.680 --> 0:28:01.920
<v Speaker 14>making sure that it can't ump over those walls very easily.

0:28:02.200 --> 0:28:04.280
<v Speaker 14>So that's not a thing that I'm worried about. You

0:28:04.320 --> 0:28:08.119
<v Speaker 14>point out, Carol correctly, that these large language models tend

0:28:08.119 --> 0:28:10.840
<v Speaker 14>to get better, they get more fluent, they get more

0:28:10.960 --> 0:28:13.560
<v Speaker 14>nuanced as we give them more data.

0:28:13.600 --> 0:28:13.879
<v Speaker 9>Great.

0:28:14.040 --> 0:28:17.800
<v Speaker 14>I would like to interact with an extraordinarily fluent, nuanced,

0:28:17.880 --> 0:28:20.800
<v Speaker 14>very flexible technology. I spend a lot of time filling

0:28:20.840 --> 0:28:22.920
<v Speaker 14>out spreadsheets, making budgets, doing.

0:28:22.720 --> 0:28:23.440
<v Speaker 9>Stuff like that.

0:28:23.680 --> 0:28:24.879
<v Speaker 14>I would love to be able to say to a

0:28:24.880 --> 0:28:27.320
<v Speaker 14>piece of technology, hey, give me the first draft of

0:28:27.359 --> 0:28:28.880
<v Speaker 14>this and let me tweak it from there.

0:28:29.119 --> 0:28:31.480
<v Speaker 9>That's what I think is the real innovation here.

0:28:31.600 --> 0:28:34.359
<v Speaker 4>Well, and you know the limit on that is going

0:28:34.440 --> 0:28:37.520
<v Speaker 4>to be the ip that the large language model has

0:28:37.560 --> 0:28:40.720
<v Speaker 4>access to, right, Lizette. So I mean, for example, I

0:28:40.880 --> 0:28:44.480
<v Speaker 4>would love to generate an AI chatbot that can comb

0:28:44.560 --> 0:28:47.240
<v Speaker 4>through all the different used car sites and find me

0:28:47.320 --> 0:28:49.840
<v Speaker 4>the exact nineteen eighty five nine to eleven sc that

0:28:49.880 --> 0:28:52.880
<v Speaker 4>I want without us on roof please, But it can't

0:28:52.960 --> 0:28:57.280
<v Speaker 4>because Auto Trader, Car Gurus, Classic Cars, Hemmings, they don't

0:28:57.320 --> 0:28:59.760
<v Speaker 4>allow these large language models to come in and look

0:28:59.760 --> 0:29:02.640
<v Speaker 4>at all of their pictures. Yet if they don't have

0:29:02.720 --> 0:29:06.560
<v Speaker 4>the IP, they really can't do business, can they exactly?

0:29:06.600 --> 0:29:08.040
<v Speaker 13>And so that's what we're going to be seeing and

0:29:08.080 --> 0:29:10.680
<v Speaker 13>that's what they're working on now at Pallunteer. In the

0:29:10.680 --> 0:29:13.400
<v Speaker 13>weeks and in the months to come, they talked about

0:29:13.440 --> 0:29:18.320
<v Speaker 13>refocusing the engineering resources of their three thousand plus mostly

0:29:18.400 --> 0:29:21.360
<v Speaker 13>engineers on staff. They have a very small sales team

0:29:21.880 --> 0:29:23.960
<v Speaker 13>and they're looking right now.

0:29:23.720 --> 0:29:25.520
<v Speaker 4>To build.

0:29:26.840 --> 0:29:29.600
<v Speaker 13>You know, this platform on somewhat of a bespoke basis

0:29:29.600 --> 0:29:33.479
<v Speaker 13>for customer after customer because like everyone has mentioned before me,

0:29:34.520 --> 0:29:37.920
<v Speaker 13>it really comes down to each individual use case, what

0:29:38.040 --> 0:29:41.680
<v Speaker 13>data they have access to and what you know, how

0:29:41.720 --> 0:29:44.560
<v Speaker 13>they can bring that forward with AI to two larger

0:29:44.640 --> 0:29:47.120
<v Speaker 13>use cases that are that are generative.

0:29:47.280 --> 0:29:48.680
<v Speaker 3>Hey, you guys, I want to put this to both

0:29:48.680 --> 0:29:50.640
<v Speaker 3>of you. What's the company to watch when it comes

0:29:50.640 --> 0:29:53.480
<v Speaker 3>to AI right now? Is it feels like everybody that's right,

0:29:53.600 --> 0:29:56.800
<v Speaker 3>any earnings call that's the words that have been dropped.

0:29:56.880 --> 0:29:59.880
<v Speaker 4>It's obviously not IBM it because volunteers. As we have

0:30:00.200 --> 0:30:02.800
<v Speaker 4>AI and the stuff goes up twenty three percent, we

0:30:02.840 --> 0:30:05.080
<v Speaker 4>have new AI and the stalk falls person.

0:30:04.960 --> 0:30:07.680
<v Speaker 2>To both of you. Lizette, you first is Poundteer? The

0:30:07.680 --> 0:30:10.360
<v Speaker 2>company to watch? Is it Microsoft? Who is it?

0:30:11.000 --> 0:30:14.160
<v Speaker 13>Let's see how they do and their results? Okay, you

0:30:14.200 --> 0:30:16.480
<v Speaker 13>know this is a platform that they still haven't figured

0:30:16.480 --> 0:30:21.120
<v Speaker 13>out a pricing strategy. Carp Alex CEO Alex Karp said,

0:30:21.120 --> 0:30:23.360
<v Speaker 13>our strategy is to take the whole market.

0:30:23.640 --> 0:30:24.720
<v Speaker 4>They're building it on the fly.

0:30:25.280 --> 0:30:29.440
<v Speaker 13>They are pricing it as well on the fly, and

0:30:29.680 --> 0:30:31.600
<v Speaker 13>we'll have to see how that works out in earnings.

0:30:31.640 --> 0:30:33.840
<v Speaker 13>They have a big event coming up at June first

0:30:33.920 --> 0:30:36.720
<v Speaker 13>to say more about it, but proof's going to be on.

0:30:36.720 --> 0:30:38.400
<v Speaker 2>The pudding, Andy, who are you watching?

0:30:38.400 --> 0:30:40.480
<v Speaker 3>Who's the company that all of us here at Bloomberg

0:30:40.520 --> 0:30:42.800
<v Speaker 3>should be watching when it comes to AI? Is it?

0:30:42.840 --> 0:30:45.800
<v Speaker 2>Can we whittle it down to one person or one company?

0:30:46.000 --> 0:30:48.040
<v Speaker 14>No, But the company that I'm going to be watching

0:30:48.120 --> 0:30:50.960
<v Speaker 14>very closely is Google because the team at Google wrote

0:30:51.000 --> 0:30:56.080
<v Speaker 14>the paper in twenty seventeen that that presented the architecture

0:30:56.120 --> 0:30:59.880
<v Speaker 14>that OpenAI is now using for GPT four and chat gpt.

0:31:00.360 --> 0:31:01.680
<v Speaker 9>That was a Google innovation.

0:31:01.720 --> 0:31:05.120
<v Speaker 14>They published it openly, and another company has taken the

0:31:05.120 --> 0:31:08.440
<v Speaker 14>first steps with it now. I don't have any inside information,

0:31:08.760 --> 0:31:12.040
<v Speaker 14>but I'm pretty sure that Google is very keenly aware

0:31:12.040 --> 0:31:14.400
<v Speaker 14>of that and would like to get the momentum back

0:31:14.720 --> 0:31:17.520
<v Speaker 14>in the AI space and the generative AI space. They

0:31:17.560 --> 0:31:21.160
<v Speaker 14>also have an extraordinarily deep bench of talent here, So

0:31:21.760 --> 0:31:24.160
<v Speaker 14>that's the company that I'm really watching with keen interests.

0:31:24.280 --> 0:31:26.120
<v Speaker 4>I just wanted to ask what you and Eric are

0:31:26.160 --> 0:31:29.640
<v Speaker 4>up to now? You know, you know what are you doing?

0:31:29.680 --> 0:31:30.040
<v Speaker 15>Andy?

0:31:31.280 --> 0:31:32.840
<v Speaker 9>Eric and I talked about this stuff all day.

0:31:32.880 --> 0:31:34.840
<v Speaker 14>We are the co founders of a startup that is

0:31:34.880 --> 0:31:38.000
<v Speaker 14>working in the generative AI space. We are plotting our

0:31:38.040 --> 0:31:40.920
<v Speaker 14>next book and our next research that Matt, these are

0:31:40.960 --> 0:31:45.240
<v Speaker 14>fascinating times. We haven't seen progress this fast with an

0:31:45.280 --> 0:31:48.960
<v Speaker 14>important technology in my career, and my career is long

0:31:49.040 --> 0:31:51.280
<v Speaker 14>enough to encompass the web and the smartphone and the

0:31:51.320 --> 0:31:52.080
<v Speaker 14>social web.

0:31:52.520 --> 0:31:55.560
<v Speaker 9>This stuff is crazy, and it's getting better so quickly,

0:31:55.560 --> 0:31:57.000
<v Speaker 9>and more capable, so quickly.

0:31:57.240 --> 0:32:00.400
<v Speaker 2>Bigger than the Internet, bigger than an engine.

0:32:01.600 --> 0:32:05.560
<v Speaker 9>Compare it to I don't quite know. Okay, it's up there,

0:32:05.760 --> 0:32:06.280
<v Speaker 9>it's up there.

0:32:06.320 --> 0:32:07.840
<v Speaker 4>Pretty cool. It just developed so quickly.

0:32:08.120 --> 0:32:10.680
<v Speaker 3>I know, well, well, actually AI has been around for

0:32:10.680 --> 0:32:12.560
<v Speaker 3>a long time. This is just a whole other level

0:32:12.640 --> 0:32:13.960
<v Speaker 3>and it just keeps getting.

0:32:13.840 --> 0:32:17.479
<v Speaker 14>Right exactly, and we weren't expecting this particular leap this quickly.

0:32:17.760 --> 0:32:20.640
<v Speaker 14>And then the companies have demonstrated who are leading the

0:32:20.760 --> 0:32:23.960
<v Speaker 14>charge here, how quickly their technologies get better. If you

0:32:24.040 --> 0:32:27.040
<v Speaker 14>go look at the images that AI can generate, and

0:32:27.080 --> 0:32:29.680
<v Speaker 14>you go back just twelve months, you will see these

0:32:29.760 --> 0:32:33.200
<v Speaker 14>staggering improvements in the kinds of images they can generate

0:32:33.240 --> 0:32:34.760
<v Speaker 14>in response to a prompt.

0:32:34.480 --> 0:32:37.240
<v Speaker 2>Sounds like I called them off guard as well as

0:32:37.240 --> 0:32:37.640
<v Speaker 2>the world.

0:32:37.640 --> 0:32:40.920
<v Speaker 4>I actually saw AI make a trailer for a new

0:32:41.000 --> 0:32:44.120
<v Speaker 4>Wes Anderson version of Star Wars, and it's pretty impressive.

0:32:44.200 --> 0:32:48.280
<v Speaker 3>It is pretty amazing. We lost Andy, Andy, come back soon.

0:32:48.560 --> 0:32:50.960
<v Speaker 3>We want to continue this conversation, both of you. Incredible

0:32:50.960 --> 0:32:55.480
<v Speaker 3>Annie McPhee McAfee, excuse me, co director, as we said,

0:32:56.880 --> 0:32:59.480
<v Speaker 3>am I yes, yes, yes, MIT scientist and work Helix

0:32:59.520 --> 0:33:01.120
<v Speaker 3>co found our just want to get it right at

0:33:01.160 --> 0:33:03.280
<v Speaker 3>the MIT Sloan School of Management. Then, of course our

0:33:03.280 --> 0:33:06.000
<v Speaker 3>thanks to our Lazett Chapman VC and Startups reporter.

0:33:06.080 --> 0:33:09.640
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. That's us

0:33:09.680 --> 0:33:13.360
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

0:33:13.560 --> 0:33:15.200
<v Speaker 1>the Bloomberg Business App.

0:33:14.960 --> 0:33:15.800
<v Speaker 8>And YouTube.

0:33:15.840 --> 0:33:18.880
<v Speaker 1>You can also listen live to our flagship New York station,

0:33:19.480 --> 0:33:21.560
<v Speaker 1>Just say Alexa, play Bloomberg.

0:33:21.600 --> 0:33:22.600
<v Speaker 4>You love them verty.

0:33:23.960 --> 0:33:24.840
<v Speaker 2>Christina Stemple.

0:33:24.920 --> 0:33:28.000
<v Speaker 3>She is founder and CEO of Seattle based farm Girl Flowers.

0:33:28.040 --> 0:33:30.200
<v Speaker 3>She is here in our interactive brokers. Dude, a little

0:33:30.200 --> 0:33:32.760
<v Speaker 3>bit of a whirlwind trip back to New York. How

0:33:32.800 --> 0:33:33.160
<v Speaker 3>are you?

0:33:33.360 --> 0:33:34.560
<v Speaker 12>I'm great? Thanks for having me?

0:33:34.760 --> 0:33:37.239
<v Speaker 4>Wait waiting back to New York. Are you grew up

0:33:37.240 --> 0:33:38.160
<v Speaker 4>on a farm in New York?

0:33:38.360 --> 0:33:38.440
<v Speaker 3>No?

0:33:38.720 --> 0:33:39.560
<v Speaker 2>Come by the mic.

0:33:39.600 --> 0:33:42.840
<v Speaker 12>We want to make Indiana, Indiana come to New York frequently.

0:33:42.880 --> 0:33:44.360
<v Speaker 12>And I get to talk to Carol. I love talking

0:33:44.360 --> 0:33:47.440
<v Speaker 12>to you guys. Okay, okay, And you brought flowers.

0:33:47.440 --> 0:33:49.560
<v Speaker 4>We should say for listeners who can't see, we've got

0:33:49.560 --> 0:33:53.400
<v Speaker 4>a couple of gorgeous bouquets up here, and those are.

0:33:53.400 --> 0:33:55.200
<v Speaker 3>YouTube and Bloomberg originals can see them.

0:33:55.200 --> 0:33:57.840
<v Speaker 4>Though, yes, exactly, I was going to say that, let's

0:33:57.920 --> 0:34:00.680
<v Speaker 4>drive the traffic there, flowers.

0:34:00.720 --> 0:34:02.280
<v Speaker 2>What is the what is the drop dead date?

0:34:02.600 --> 0:34:04.600
<v Speaker 12>I would say right now? Actually, when you said Friday

0:34:04.680 --> 0:34:07.760
<v Speaker 12>was oh, really late. Yeah, I mean it's the sooner

0:34:07.840 --> 0:34:10.880
<v Speaker 12>the better, you know. We do do some deliveries on Saturday,

0:34:10.880 --> 0:34:12.319
<v Speaker 12>but depends where you live in the United States and

0:34:12.320 --> 0:34:15.560
<v Speaker 12>whether you can get delivery on Saturdays. Sundays. We do

0:34:15.640 --> 0:34:18.640
<v Speaker 12>not have local delivery on Sunday. So really, Friday is

0:34:18.680 --> 0:34:20.440
<v Speaker 12>the last time you can order flowers if you live

0:34:20.440 --> 0:34:22.680
<v Speaker 12>in a place that is lucky enough to have delivery

0:34:22.719 --> 0:34:26.000
<v Speaker 12>otherwise earlier the better we all know, Like delivery delays

0:34:26.080 --> 0:34:27.319
<v Speaker 12>are everyone so what?

0:34:27.600 --> 0:34:31.000
<v Speaker 4>So all right, let's say I order flowers for my

0:34:31.120 --> 0:34:34.200
<v Speaker 4>mom and for my wife who is a mom, and

0:34:34.239 --> 0:34:38.280
<v Speaker 4>then do I like keep them in the basement refrigerator

0:34:38.400 --> 0:34:41.000
<v Speaker 4>and break them out on Sunday or I mean I.

0:34:40.960 --> 0:34:43.080
<v Speaker 12>Sent my mom her flowers. She got them on Monday

0:34:43.080 --> 0:34:45.120
<v Speaker 12>this week, and I say happy Mother's Day week like

0:34:45.280 --> 0:34:51.120
<v Speaker 12>you is. Yeah, nobody gets mad about early flowers or gifts.

0:34:51.160 --> 0:34:53.719
<v Speaker 12>They get mad about late ones. I say, it's a

0:34:53.760 --> 0:34:55.839
<v Speaker 12>Mother's Day a week and pam for her all week long.

0:34:55.920 --> 0:34:57.080
<v Speaker 2>What's demand like right now?

0:34:57.120 --> 0:34:58.560
<v Speaker 12>It's high, it's really really high.

0:34:58.560 --> 0:35:00.840
<v Speaker 2>To go back to pre pandemic level or what is not?

0:35:01.200 --> 0:35:04.319
<v Speaker 12>No, But I well, I mean I would say that

0:35:04.440 --> 0:35:07.480
<v Speaker 12>if we did Sunday delivery jests, probably because everybody's last minute.

0:35:07.560 --> 0:35:11.040
<v Speaker 12>But you know, the economy is definitely impacting every business,

0:35:11.080 --> 0:35:13.840
<v Speaker 12>including us. But right now we have the demand thanks

0:35:13.840 --> 0:35:15.799
<v Speaker 12>to the big flower companies that have spent you know,

0:35:15.840 --> 0:35:18.839
<v Speaker 12>a century, you know, building up flowers as gifts, which

0:35:18.840 --> 0:35:21.239
<v Speaker 12>I'm really grateful for. So we don't want to miss

0:35:21.239 --> 0:35:23.160
<v Speaker 12>out on the demand, right But it's really hard to

0:35:23.200 --> 0:35:25.879
<v Speaker 12>scale a company, as you know, everyone knows you can't

0:35:25.880 --> 0:35:28.200
<v Speaker 12>really scale a company from like, you know, twenty x

0:35:28.239 --> 0:35:31.200
<v Speaker 12>what it is normally without having to scale back down afterwards.

0:35:31.280 --> 0:35:33.480
<v Speaker 3>So do it because like a UPS will pull in

0:35:33.520 --> 0:35:35.920
<v Speaker 3>some of the executives to get out in trucks and

0:35:35.960 --> 0:35:37.560
<v Speaker 3>so on and stuff with and drive during like the

0:35:37.560 --> 0:35:38.280
<v Speaker 3>holiday season.

0:35:38.360 --> 0:35:40.840
<v Speaker 2>Right, Like we see Amazon hires more people.

0:35:40.560 --> 0:35:41.160
<v Speaker 4>What do you do?

0:35:41.200 --> 0:35:43.520
<v Speaker 12>We do the same thing. Everybody is like, you know,

0:35:43.560 --> 0:35:46.000
<v Speaker 12>we're all heading to Boston from here from New York.

0:35:46.400 --> 0:35:48.520
<v Speaker 12>We already have people in Boston working. We have people

0:35:48.520 --> 0:35:50.680
<v Speaker 12>at lots of our position your main distribution. No, it's

0:35:50.719 --> 0:35:52.480
<v Speaker 12>just one where we had more space. So that's why

0:35:52.600 --> 0:35:54.560
<v Speaker 12>we you know, we ramp up all the places that

0:35:54.560 --> 0:35:56.719
<v Speaker 12>we can get more space. We have places in California

0:35:56.760 --> 0:35:58.840
<v Speaker 12>that we have you know, people at we have South America.

0:35:59.000 --> 0:36:01.440
<v Speaker 12>We have a a AY in Ecuador and Qito that

0:36:01.480 --> 0:36:05.240
<v Speaker 12>we scale up to full capacity, multiple shifts. We just really,

0:36:05.280 --> 0:36:06.680
<v Speaker 12>you know, we're not going there.

0:36:06.640 --> 0:36:10.160
<v Speaker 4>Are other I mean, surely Mother's Day isn't the most flowers, right,

0:36:10.280 --> 0:36:11.319
<v Speaker 4>Isn't Valentine's Day?

0:36:11.360 --> 0:36:11.440
<v Speaker 14>No?

0:36:11.640 --> 0:36:15.719
<v Speaker 12>It's not really, I mean, industry wide, Christmas the holidays

0:36:15.840 --> 0:36:19.600
<v Speaker 12>is the biggest reported holiday for flowers. For us, it's

0:36:19.640 --> 0:36:22.480
<v Speaker 12>Mother's Day though, because the holiday, you know, Christmas holiday

0:36:22.560 --> 0:36:25.600
<v Speaker 12>is more like you know, trees and wreaths, and it's.

0:36:25.480 --> 0:36:29.879
<v Speaker 4>The red belity flowers they call those, yes, point set

0:36:29.920 --> 0:36:32.800
<v Speaker 4>us plants things like that, but cut flowers.

0:36:32.840 --> 0:36:35.560
<v Speaker 12>Our industry and our niche is Mother's Day. Mother's Day

0:36:35.640 --> 0:36:37.239
<v Speaker 12>is like it's not even just the super Bowl. I'm

0:36:37.239 --> 0:36:39.400
<v Speaker 12>calling it this year like we usually do. It's literally

0:36:39.480 --> 0:36:42.239
<v Speaker 12>every holiday wrapped up into one because we need it

0:36:42.280 --> 0:36:44.840
<v Speaker 12>to be so big because right after Mother's Day we

0:36:44.880 --> 0:36:47.000
<v Speaker 12>go into the summer slump, which means we're gonna have

0:36:47.040 --> 0:36:49.799
<v Speaker 12>four months of lighter sales than normal, and this year

0:36:49.880 --> 0:36:52.480
<v Speaker 12>is gonna be even worse, probably because of the economy.

0:36:52.120 --> 0:36:56.040
<v Speaker 4>So so well try and offset that with other programs.

0:36:56.520 --> 0:36:59.000
<v Speaker 4>A buddy of mine once when my wife had our

0:36:59.000 --> 0:37:02.239
<v Speaker 4>first baby, gave us some kind of subscription where we

0:37:02.320 --> 0:37:05.400
<v Speaker 4>got a new box of flowers every month. Yeah, and

0:37:05.440 --> 0:37:07.319
<v Speaker 4>my wife has said for the last three years it's

0:37:07.360 --> 0:37:09.319
<v Speaker 4>the best gift anyone's ever given her.

0:37:09.440 --> 0:37:12.279
<v Speaker 12>That's a great testimonial everybody listened to. Yeah, we do

0:37:12.360 --> 0:37:14.799
<v Speaker 12>subscriptions as well, which are great. We do some you know,

0:37:14.880 --> 0:37:17.000
<v Speaker 12>weddings and events and things like that will will pop

0:37:17.080 --> 0:37:19.399
<v Speaker 12>up in the summer. We do faux flower arrangements, and

0:37:19.480 --> 0:37:21.440
<v Speaker 12>you know, we're just constantly trying to come up with

0:37:21.480 --> 0:37:22.719
<v Speaker 12>new things that will keep you christ State.

0:37:22.800 --> 0:37:26.080
<v Speaker 2>And how much of your revenues is booked on this holiday.

0:37:26.400 --> 0:37:28.480
<v Speaker 12>Over twenty percent of our annual revenue will come in

0:37:28.520 --> 0:37:30.480
<v Speaker 12>one week this week, so it's a big deal.

0:37:30.640 --> 0:37:32.920
<v Speaker 3>Yeah, So you know I was asking for you got

0:37:32.920 --> 0:37:35.360
<v Speaker 3>in because Matt and I talked with a guest earlier

0:37:35.360 --> 0:37:37.279
<v Speaker 3>about where produce and fruit are.

0:37:37.200 --> 0:37:39.080
<v Speaker 2>All coming from. Where do all your flowers come from?

0:37:39.160 --> 0:37:41.200
<v Speaker 12>They come from all over the world, but mostly from

0:37:41.239 --> 0:37:44.640
<v Speaker 12>South America and Europe and some United States. So right now,

0:37:44.800 --> 0:37:46.799
<v Speaker 12>for the whole year, we'll probably be seventy percent South

0:37:46.800 --> 0:37:50.719
<v Speaker 12>America seventy percent important, thirty percent domestic. Certain holidays, it'll

0:37:50.760 --> 0:37:52.880
<v Speaker 12>go more to like forty sixty or fifty to fifty.

0:37:53.120 --> 0:37:54.719
<v Speaker 12>But for the year, you know, we're trying to get

0:37:54.760 --> 0:37:57.400
<v Speaker 12>it more to a fifty to fifty. But you know,

0:37:57.440 --> 0:37:59.880
<v Speaker 12>flower farming is is is. There's a lot we get

0:37:59.920 --> 0:38:02.320
<v Speaker 12>to here for an hour about flower farming in this country.

0:38:02.560 --> 0:38:02.840
<v Speaker 2>Why.

0:38:03.760 --> 0:38:07.200
<v Speaker 12>I mean, it's expensive. You know, it's your competing with

0:38:07.320 --> 0:38:09.120
<v Speaker 12>other countries where they don't have the same you know,

0:38:10.960 --> 0:38:12.640
<v Speaker 12>flavor issues. And I mean think of how much you

0:38:12.640 --> 0:38:14.520
<v Speaker 12>have to pay per hour right now, plus all of

0:38:14.560 --> 0:38:17.840
<v Speaker 12>the you know, insurances and workers comp and lawsuits and

0:38:17.960 --> 0:38:20.120
<v Speaker 12>legal and things like that. It's just really expensive.

0:38:21.120 --> 0:38:23.600
<v Speaker 4>What is the flower to get for Mother's Day? I mean,

0:38:23.640 --> 0:38:26.440
<v Speaker 4>I know on Valentine's Day, get the roses at Christmas?

0:38:26.520 --> 0:38:30.200
<v Speaker 4>I get the point sets you know, is there one

0:38:30.880 --> 0:38:31.560
<v Speaker 4>for Mother's Day?

0:38:31.560 --> 0:38:31.880
<v Speaker 16>What is it?

0:38:31.920 --> 0:38:32.120
<v Speaker 13>Yes?

0:38:32.160 --> 0:38:34.279
<v Speaker 12>But I would also say don't do roses on Valentine's Day,

0:38:34.280 --> 0:38:35.080
<v Speaker 12>But that's another story.

0:38:35.280 --> 0:38:38.360
<v Speaker 2>Okay, I'm with you. I am so with you.

0:38:38.560 --> 0:38:42.000
<v Speaker 12>Yes, women don't actually want roses, but peonies. We pulled

0:38:42.080 --> 0:38:45.000
<v Speaker 12>ninety two percent of our customers and peonies are their favorite,

0:38:45.040 --> 0:38:48.040
<v Speaker 12>and thankfully it's peenie season. We are beholding to mother

0:38:48.120 --> 0:38:50.640
<v Speaker 12>nature though, so we've been on pins and needles because

0:38:50.680 --> 0:38:52.360
<v Speaker 12>you know, you place these orders, put them on for

0:38:52.400 --> 0:38:54.239
<v Speaker 12>sale on your website long before you actually have the

0:38:54.239 --> 0:38:57.760
<v Speaker 12>flowers in hand, and if it's too cold or too hot,

0:38:58.120 --> 0:38:58.920
<v Speaker 12>it messes everything.

0:38:59.000 --> 0:38:59.560
<v Speaker 2>Does that happen?

0:38:59.600 --> 0:39:00.640
<v Speaker 12>It happens all the time.

0:39:00.800 --> 0:39:00.960
<v Speaker 8>You know.

0:39:01.040 --> 0:39:02.839
<v Speaker 12>Last year we had you know, thirty percent of our

0:39:02.840 --> 0:39:04.719
<v Speaker 12>ponies on order didn't come in in time. They came

0:39:04.719 --> 0:39:07.440
<v Speaker 12>the week after Mother's Day and so last minute we

0:39:07.440 --> 0:39:09.440
<v Speaker 12>had to fly them in. It was really expensive. You know,

0:39:09.480 --> 0:39:11.400
<v Speaker 12>it runed our cot. You know, our Uni economics for

0:39:11.440 --> 0:39:14.040
<v Speaker 12>our bouquet is like great, we just extold all those

0:39:14.080 --> 0:39:15.560
<v Speaker 12>at a loss, you know, for some of them. So

0:39:15.920 --> 0:39:18.799
<v Speaker 12>this year it's looking really good, so fingerscrass. We still

0:39:18.840 --> 0:39:22.160
<v Speaker 12>have one more shipment coming in this week, but so far,

0:39:22.280 --> 0:39:22.680
<v Speaker 12>so good.

0:39:22.880 --> 0:39:26.200
<v Speaker 3>Yeah, that is I mean, your supply chain, how complicated

0:39:26.320 --> 0:39:29.279
<v Speaker 3>is it? It's nuts and how expensive and like you know,

0:39:29.320 --> 0:39:32.359
<v Speaker 3>we talked about sustainability, like moving stuff in, I mean,

0:39:32.680 --> 0:39:33.640
<v Speaker 3>how do you work on that?

0:39:33.760 --> 0:39:37.719
<v Speaker 12>It's I often say, like anything we do after perishable,

0:39:37.960 --> 0:39:40.120
<v Speaker 12>like really perishable product that we have is going to

0:39:40.160 --> 0:39:42.880
<v Speaker 12>seem like a cake walk because you can't make a mistake.

0:39:43.120 --> 0:39:45.040
<v Speaker 12>You're beholding some other nature and we found that she

0:39:45.160 --> 0:39:47.799
<v Speaker 12>always wins. You cannot fight mother nature. Literally, she will

0:39:47.840 --> 0:39:50.239
<v Speaker 12>win every time. So you know you're just beholden too.

0:39:50.360 --> 0:39:51.960
<v Speaker 12>Is it too hot? Is it too cold? Is there

0:39:52.000 --> 0:39:54.840
<v Speaker 12>shipping issues? Like after they leave our warehouses, then we

0:39:54.880 --> 0:39:56.880
<v Speaker 12>have to rely on you know, third parties to deliver

0:39:56.960 --> 0:39:58.640
<v Speaker 12>them on time. And you know, people are upset when

0:39:58.640 --> 0:40:00.400
<v Speaker 12>they're not, of course, and then they're dead and swift

0:40:00.400 --> 0:40:03.400
<v Speaker 12>to reshift. And if you over order, it's going to

0:40:03.520 --> 0:40:05.880
<v Speaker 12>end up in a landfill. You know, it's gonna end

0:40:05.960 --> 0:40:08.120
<v Speaker 12>up compost. You know, you can't just sell us sweater

0:40:08.200 --> 0:40:11.200
<v Speaker 12>like a sweater later in you know in June?

0:40:11.360 --> 0:40:13.800
<v Speaker 4>What do you do when you have leftover flowers? Do

0:40:13.840 --> 0:40:16.319
<v Speaker 4>you bring them to like I don't know, churches or

0:40:16.520 --> 0:40:17.720
<v Speaker 4>shelters or.

0:40:17.800 --> 0:40:19.600
<v Speaker 12>The few times that we do, Yeah, I do a

0:40:19.640 --> 0:40:21.560
<v Speaker 12>flash say we are we do a flash tell if

0:40:21.600 --> 0:40:23.120
<v Speaker 12>you see us do flash down, I'm like, oh, that's

0:40:23.120 --> 0:40:24.759
<v Speaker 12>a little bit of it here that we over ordered.

0:40:25.200 --> 0:40:27.440
<v Speaker 12>So we do flashtail to sell them really quickly. But

0:40:27.480 --> 0:40:29.319
<v Speaker 12>we're really really good at our supply chain.

0:40:29.400 --> 0:40:30.840
<v Speaker 3>I need to ask you because I feel like with

0:40:31.080 --> 0:40:33.239
<v Speaker 3>the banking and the regional banking crisis and so on and

0:40:33.200 --> 0:40:34.560
<v Speaker 3>so forth. You know, we've talked with you in the

0:40:34.560 --> 0:40:36.839
<v Speaker 3>past about funding evaluations and so on and so forth.

0:40:37.000 --> 0:40:38.920
<v Speaker 3>Are you able to access all the funding.

0:40:38.680 --> 0:40:41.640
<v Speaker 12>That you need. We are still bootstrapped companies, so we

0:40:41.680 --> 0:40:44.080
<v Speaker 12>are still Yeah, we've never taken any outside capital. We

0:40:44.120 --> 0:40:46.520
<v Speaker 12>got one hundred and four no's now we probably could

0:40:46.600 --> 0:40:47.040
<v Speaker 12>raise capital.

0:40:48.360 --> 0:40:50.080
<v Speaker 4>May know now you don't need it.

0:40:50.200 --> 0:40:52.359
<v Speaker 12>Now we don't need it. We're doing okay without it.

0:40:52.640 --> 0:40:54.200
<v Speaker 12>We just kind of kick at old school and spend

0:40:54.280 --> 0:40:56.520
<v Speaker 12>less than we may bank like banking or anything like.

0:40:56.520 --> 0:40:57.560
<v Speaker 2>You don't need any of that.

0:40:57.640 --> 0:41:00.680
<v Speaker 12>Yeah, we're okay right now. Banking, we had some issues

0:41:00.719 --> 0:41:03.200
<v Speaker 12>with Our bank was Silicon Valley Bank and First Silico

0:41:03.400 --> 0:41:05.600
<v Speaker 12>val One, so we had it. We had some glitches

0:41:05.640 --> 0:41:08.120
<v Speaker 12>in the last couple of months. The First Republic was

0:41:08.160 --> 0:41:11.920
<v Speaker 12>our secondary bank. So we are now with Chase. So yeah,

0:41:11.920 --> 0:41:15.719
<v Speaker 12>of course, you know, so we're now you know'd, we're

0:41:15.719 --> 0:41:18.280
<v Speaker 12>confident know about that. So we'll see if there's funding

0:41:18.320 --> 0:41:20.920
<v Speaker 12>options there, but if not, we're just reinvesting our profits

0:41:20.920 --> 0:41:22.280
<v Speaker 12>and trying to grow kind of old school.

0:41:23.200 --> 0:41:25.440
<v Speaker 3>At twenty seconds, What is the next big growth project

0:41:25.480 --> 0:41:26.200
<v Speaker 3>for you guys.

0:41:26.040 --> 0:41:29.000
<v Speaker 12>Next big on. I mean we now are looking towards fall,

0:41:29.040 --> 0:41:32.760
<v Speaker 12>already putting orders in for Thanksgiving and Christmas and looking

0:41:32.760 --> 0:41:35.560
<v Speaker 12>forward to that. An exit plan or anything. I mean, yes,

0:41:35.800 --> 0:41:38.520
<v Speaker 12>I'm definitely looking for an exit plan as well sometime

0:41:39.160 --> 0:41:40.520
<v Speaker 12>or I'm just going to be one hundred years old.

0:41:40.560 --> 0:41:43.439
<v Speaker 3>Work one hundred hours a week, always amazing, always fun.

0:41:43.480 --> 0:41:45.239
<v Speaker 3>I love talking with you because I've said this to

0:41:45.239 --> 0:41:47.040
<v Speaker 3>you before. I love small business and try and get

0:41:47.080 --> 0:41:48.600
<v Speaker 3>an idea, and you're not so small. I mean, I

0:41:48.600 --> 0:41:51.480
<v Speaker 3>don't know what your market cap. It's tens and millions

0:41:51.480 --> 0:41:52.560
<v Speaker 3>of dollars.

0:41:51.960 --> 0:41:53.760
<v Speaker 12>It's yeah, and we're doing okay.

0:41:53.800 --> 0:41:57.200
<v Speaker 2>Good luck with the holiday. Christina stambul Matt order your flowers.

0:41:57.400 --> 0:42:00.440
<v Speaker 4>I'll order them now. While Christina is in this udio.

0:42:00.400 --> 0:42:02.719
<v Speaker 2>She's founder and seat of farm Girl Flowers. Joining us

0:42:02.719 --> 0:42:04.320
<v Speaker 2>here in our studio.

0:42:08.880 --> 0:42:12.480
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:42:12.480 --> 0:42:15.160
<v Speaker 1>live weekdays from two to five pm Eastern.

0:42:15.080 --> 0:42:18.440
<v Speaker 8>On Bloomberg Radio, the Bloomberg Business App, and YouTube.

0:42:18.680 --> 0:42:21.680
<v Speaker 1>You can also listen live to our flagship New York station,

0:42:22.280 --> 0:42:26.600
<v Speaker 1>Just Say Alexa Play Bloomberg eleven thirty.

0:42:26.640 --> 0:42:30.239
<v Speaker 8>This is nassigras console.

0:42:31.520 --> 0:42:32.360
<v Speaker 12>I'm stander.

0:42:35.840 --> 0:42:38.000
<v Speaker 3>All right, We're going to talk a bit about space

0:42:38.040 --> 0:42:40.839
<v Speaker 3>explorish and when you think about it, yeah, you think

0:42:40.840 --> 0:42:43.560
<v Speaker 3>about the billionaires, you know, Musk, Bezos and Branson. But

0:42:43.640 --> 0:42:47.279
<v Speaker 3>what about the former dishwasher engineer who is also successful

0:42:47.280 --> 0:42:50.439
<v Speaker 3>sending rockets into space and giving Musk perhaps a run

0:42:50.480 --> 0:42:52.799
<v Speaker 3>for his space money. This story is the cover of

0:42:52.840 --> 0:42:55.960
<v Speaker 3>the new issue of Bloomberg BusinessWeek, on newsstands tomorrow, already

0:42:55.960 --> 0:42:58.759
<v Speaker 3>online at Bloomberg dot com slash BusinessWeek, and it's on

0:42:58.800 --> 0:43:02.320
<v Speaker 3>the Bloomberg terminal. The story an excerpt from Ashley Vance's

0:43:02.320 --> 0:43:05.160
<v Speaker 3>new book entitled When the Heavens Went On Sale The

0:43:05.160 --> 0:43:09.239
<v Speaker 3>Misfits and Geniuses Racing to put Space within Ray's reach.

0:43:09.320 --> 0:43:12.480
<v Speaker 3>Excuse me, great title, Ashley, As you know Bloomberg BusinessWeek

0:43:12.520 --> 0:43:15.600
<v Speaker 3>features writer. He's also author of another book on Yeah,

0:43:15.680 --> 0:43:18.680
<v Speaker 3>one of those space billionaires, Elon Musk Tesla SpaceX in

0:43:18.719 --> 0:43:21.200
<v Speaker 3>the Quest for a Fantastic Future, Ashley jetting us on

0:43:21.280 --> 0:43:24.080
<v Speaker 3>Zoom from Palo Alto, California, along with the editor of

0:43:24.120 --> 0:43:27.480
<v Speaker 3>Bloomberg Business Week, Jill Weber here in our interactive broker's studio.

0:43:28.960 --> 0:43:31.640
<v Speaker 3>Joel incredible story and we do focus on the billionaires,

0:43:31.680 --> 0:43:34.719
<v Speaker 3>but there's so much more here, including what is in

0:43:34.800 --> 0:43:35.640
<v Speaker 3>Ashley's book.

0:43:35.760 --> 0:43:39.759
<v Speaker 6>Yeah, I'm really excited about this book because you know,

0:43:40.160 --> 0:43:43.479
<v Speaker 6>BusinessWeek did a space issue of a number of years ago,

0:43:43.600 --> 0:43:45.960
<v Speaker 6>and wow, it was ahead of its time, but not

0:43:46.160 --> 0:43:51.759
<v Speaker 6>as quite as thorough as Ashley's book, which takes this

0:43:51.880 --> 0:43:53.840
<v Speaker 6>idea of like, look, there's going to be a space

0:43:53.880 --> 0:43:57.160
<v Speaker 6>economy and it's going to look completely different than anything

0:43:57.200 --> 0:43:59.879
<v Speaker 6>that's come before it. It's going to involve a lot

0:44:00.160 --> 0:44:04.600
<v Speaker 6>more satellites in space and this low Earth orbit thing.

0:44:05.000 --> 0:44:06.839
<v Speaker 6>Just get ready to hear so much more about it

0:44:06.880 --> 0:44:11.200
<v Speaker 6>and the entrepreneurs that this brings out. Obviously there's the

0:44:11.280 --> 0:44:14.239
<v Speaker 6>Elon Musk and the SpaceX thing, and they really helped

0:44:14.280 --> 0:44:15.400
<v Speaker 6>pioneer what this looks like.

0:44:15.800 --> 0:44:17.360
<v Speaker 7>But they are not alone.

0:44:17.480 --> 0:44:20.120
<v Speaker 6>And that brings us to the excerpt because there's this

0:44:20.280 --> 0:44:26.120
<v Speaker 6>really unlikely SpaceX rival that actually found And by unlikely,

0:44:26.200 --> 0:44:31.320
<v Speaker 6>I mean you couldn't imagine a more unlikely candidate, right Ashley, Yeah.

0:44:31.200 --> 0:44:34.720
<v Speaker 17>Well, no, it is a one of a kind story.

0:44:35.280 --> 0:44:39.520
<v Speaker 18>You know, You've got this guy named Peter Beck who's

0:44:39.560 --> 0:44:40.480
<v Speaker 18>from New Zealand.

0:44:41.719 --> 0:44:44.160
<v Speaker 17>I think a lot of times in space we think.

0:44:44.080 --> 0:44:47.160
<v Speaker 18>Of you know, either the billionaires or you're like a

0:44:47.440 --> 0:44:51.680
<v Speaker 18>NASA veteran or some MIT PhD. But Peter, you know,

0:44:51.719 --> 0:44:55.600
<v Speaker 18>he essentially left school at sixteen, got his equivalent of

0:44:55.640 --> 0:45:01.080
<v Speaker 18>the GED and was working at a dishwasher maker, you know,

0:45:01.120 --> 0:45:03.600
<v Speaker 18>as an apprentice, and then he worked at a government

0:45:03.800 --> 0:45:06.719
<v Speaker 18>lab for a while. But he really just did He's

0:45:06.800 --> 0:45:10.320
<v Speaker 18>like this possessed engineer who was doing all this rocketry

0:45:10.520 --> 0:45:12.880
<v Speaker 18>stuff in his spare time and is in the shed

0:45:13.200 --> 0:45:16.040
<v Speaker 18>outside of his house, and he made it work.

0:45:16.080 --> 0:45:17.359
<v Speaker 17>I mean, like for one.

0:45:17.320 --> 0:45:21.480
<v Speaker 18>Hundred years, individuals had kind of tried to make a

0:45:21.520 --> 0:45:25.000
<v Speaker 18>small rocket that could get to space, and Peter's the

0:45:25.040 --> 0:45:27.960
<v Speaker 18>first one that actually managed to pull this off. And

0:45:28.560 --> 0:45:32.120
<v Speaker 18>today Rocket Lab is like the second coming of space X.

0:45:32.200 --> 0:45:36.239
<v Speaker 18>They're really the only two commercial rocket companies that are

0:45:36.280 --> 0:45:37.480
<v Speaker 18>making a real go of it.

0:45:38.120 --> 0:45:40.680
<v Speaker 6>So tell us more about this guy, because New Zealand

0:45:40.840 --> 0:45:47.720
<v Speaker 6>not exactly known for space exploration or rockets, and yet

0:45:47.760 --> 0:45:52.160
<v Speaker 6>here we have a guy and Planet Lab publicly traded company.

0:45:53.160 --> 0:45:54.160
<v Speaker 7>How did this all come about?

0:45:54.520 --> 0:45:56.719
<v Speaker 6>How do you get into rockets when there is no

0:45:56.920 --> 0:45:58.560
<v Speaker 6>rocket industry around you?

0:45:59.640 --> 0:45:59.879
<v Speaker 17>Yeah?

0:45:59.880 --> 0:46:04.160
<v Speaker 18>I think just through force of will you know, I mean,

0:46:04.200 --> 0:46:06.719
<v Speaker 18>Peter is he must be like, I don't know what

0:46:06.800 --> 0:46:08.359
<v Speaker 18>number you want to put on it, like a one

0:46:08.400 --> 0:46:11.960
<v Speaker 18>and a billion kind of engineer. And and you know,

0:46:12.040 --> 0:46:14.719
<v Speaker 18>he did a lot of this early work building sort

0:46:14.760 --> 0:46:17.560
<v Speaker 18>of a small rocket and then a little bit bigger

0:46:17.560 --> 0:46:20.680
<v Speaker 18>one and then and then finally getting to something that

0:46:21.680 --> 0:46:23.760
<v Speaker 18>could could play in this commercial field.

0:46:23.800 --> 0:46:27.240
<v Speaker 17>And he was able to Marshall.

0:46:27.640 --> 0:46:31.160
<v Speaker 18>You know, there are these regulations around the space industry

0:46:31.239 --> 0:46:36.200
<v Speaker 18>that forbid American engineers from helping a New Zealand company

0:46:36.280 --> 0:46:40.360
<v Speaker 18>like rocket Lab, and so Peter he didn't have anyone

0:46:40.400 --> 0:46:41.920
<v Speaker 18>but had like build a rocket.

0:46:41.640 --> 0:46:42.680
<v Speaker 17>Before on his team.

0:46:43.560 --> 0:46:47.760
<v Speaker 18>Nobody was like real experience doing this, and he cobbled

0:46:47.760 --> 0:46:52.120
<v Speaker 18>together this group of twenty year old New Zealanders and

0:46:52.160 --> 0:46:55.759
<v Speaker 18>Australians and they managed to pull this off. I mean,

0:46:55.840 --> 0:46:58.879
<v Speaker 18>he's he's sort of like what I think of as

0:46:59.000 --> 0:47:03.759
<v Speaker 18>the platon ideal of engineer. It's just like runs in

0:47:03.880 --> 0:47:08.120
<v Speaker 18>his blood, like Elon wants to go to Mars. Peter

0:47:08.320 --> 0:47:11.520
<v Speaker 18>like just wants to make things that go fast and

0:47:11.680 --> 0:47:14.439
<v Speaker 18>rockets and is just possessed to.

0:47:14.400 --> 0:47:15.000
<v Speaker 17>Have to do that.

0:47:15.880 --> 0:47:20.400
<v Speaker 19>Well, it's so cool that someone with that perfect description

0:47:20.480 --> 0:47:24.520
<v Speaker 19>of engineer's personality in mind ended up with the money

0:47:24.600 --> 0:47:28.279
<v Speaker 19>needed to sort of take that vision and personality and

0:47:28.320 --> 0:47:30.359
<v Speaker 19>turn it into what he was able to turn it into.

0:47:30.520 --> 0:47:33.160
<v Speaker 19>Can you talk a little bit about how he got

0:47:33.160 --> 0:47:36.600
<v Speaker 19>that money and the operation he built that you described

0:47:36.600 --> 0:47:38.719
<v Speaker 19>as something that might have looked absurd because it was

0:47:38.920 --> 0:47:41.040
<v Speaker 19>three people in an office the size of my New

0:47:41.120 --> 0:47:42.000
<v Speaker 19>York City apartment.

0:47:43.040 --> 0:47:45.080
<v Speaker 18>Yeah, I mean, you know, this is like the story

0:47:45.080 --> 0:47:48.520
<v Speaker 18>of commercial space right now. You know, for sixty seventy years,

0:47:49.280 --> 0:47:52.120
<v Speaker 18>this was government backed stuff. It was the thing that

0:47:52.360 --> 0:47:55.920
<v Speaker 18>nations did, and only a handful of nations had ever

0:47:56.000 --> 0:47:58.560
<v Speaker 18>really been major players in space. And then we had

0:47:58.560 --> 0:48:02.160
<v Speaker 18>this kind of like billionaire era, obviously led by Elon

0:48:02.200 --> 0:48:04.879
<v Speaker 18>who is the most successful, and now you know, we're

0:48:04.880 --> 0:48:08.360
<v Speaker 18>in the venture capital era of space. Over the last

0:48:08.480 --> 0:48:11.160
<v Speaker 18>two or three years, about two hundred and fifty billion

0:48:11.200 --> 0:48:14.960
<v Speaker 18>dollars have been put into commercial space companies. And rocket

0:48:15.000 --> 0:48:19.320
<v Speaker 18>Lab was was near the front of that line of Peter.

0:48:20.239 --> 0:48:22.640
<v Speaker 18>He was with these three guys in this research lab

0:48:22.640 --> 0:48:25.640
<v Speaker 18>and they built this tiny rocket and sent it off

0:48:25.640 --> 0:48:27.640
<v Speaker 18>and it was it was enough of a proof of

0:48:27.760 --> 0:48:31.000
<v Speaker 18>concept that he seemed real that he could come to

0:48:31.040 --> 0:48:35.080
<v Speaker 18>Silicon Valley. Coastal Adventures was one of the first companies

0:48:35.120 --> 0:48:37.320
<v Speaker 18>to put to put money into it. But you know,

0:48:37.360 --> 0:48:39.120
<v Speaker 18>there's a pretty funny story in my book. I mean,

0:48:39.760 --> 0:48:43.080
<v Speaker 18>Peter comes to the valley, is this total outsider, you know,

0:48:43.120 --> 0:48:46.400
<v Speaker 18>and he's like putting his engines and his rockets on

0:48:46.440 --> 0:48:49.319
<v Speaker 18>the table and just like assuring these guys that he

0:48:49.320 --> 0:48:51.960
<v Speaker 18>can do this. And he kind of like did it

0:48:52.000 --> 0:48:56.960
<v Speaker 18>at the right time and has they're a public company now.

0:48:57.000 --> 0:49:00.239
<v Speaker 18>I mean, you know, he's really gotten quite far all

0:49:00.280 --> 0:49:03.600
<v Speaker 18>this and pave the way for for dozens to hundreds

0:49:03.640 --> 0:49:04.360
<v Speaker 18>of other companies.

0:49:04.440 --> 0:49:06.200
<v Speaker 6>I want to talk about just how crazy that is

0:49:06.239 --> 0:49:09.200
<v Speaker 6>because that burst rocket he built. When you write about

0:49:09.239 --> 0:49:11.680
<v Speaker 6>this in the book, and we excerpted this part, he

0:49:12.160 --> 0:49:16.160
<v Speaker 6>ends up holding a bar of solid rocket fuel in

0:49:16.280 --> 0:49:19.239
<v Speaker 6>his hands. I can't imagine a more dangerous idea. But yet,

0:49:19.520 --> 0:49:21.399
<v Speaker 6>in order to do this, he had to figure out

0:49:21.760 --> 0:49:25.560
<v Speaker 6>the propellants. So walk us through how that challenge, how

0:49:25.560 --> 0:49:26.640
<v Speaker 6>he cracked that challenge.

0:49:27.200 --> 0:49:29.000
<v Speaker 18>Yeah, I mean, this is a guy who, like I'm

0:49:29.000 --> 0:49:32.279
<v Speaker 18>not kidding, you know, he used to just he would

0:49:32.360 --> 0:49:35.359
<v Speaker 18>make propellants on his own, you know, at his house.

0:49:35.400 --> 0:49:38.280
<v Speaker 18>He used to dress himself up in like garbage bags

0:49:38.320 --> 0:49:40.359
<v Speaker 18>just to keep this toxic stuff.

0:49:40.239 --> 0:49:42.960
<v Speaker 6>As a parent when your kids like, I'm gonna go

0:49:43.040 --> 0:49:44.759
<v Speaker 6>over to Peter Beck's house, You're like, no, he's not

0:49:45.120 --> 0:49:47.520
<v Speaker 6>exactly right there.

0:49:48.520 --> 0:49:50.840
<v Speaker 18>Like, you know he as a kid, he had this

0:49:50.960 --> 0:49:53.040
<v Speaker 18>like total freedom growing up, Like he would just go

0:49:53.080 --> 0:49:55.279
<v Speaker 18>on the shed and his parents wouldn't see him for

0:49:55.360 --> 0:49:58.800
<v Speaker 18>hours and then but yeah, he would put these plastic

0:49:58.840 --> 0:50:00.719
<v Speaker 18>bags on. He was telling me, you know you have

0:50:00.840 --> 0:50:03.680
<v Speaker 18>this this apartment. At one point he's like, yeah, I don't.

0:50:03.920 --> 0:50:06.000
<v Speaker 18>I did so many experiments. I don't think the grass

0:50:06.080 --> 0:50:09.440
<v Speaker 18>is ever going to grow in that in that spot again.

0:50:09.800 --> 0:50:12.800
<v Speaker 18>And and there's this amazing video that people can find

0:50:12.840 --> 0:50:13.400
<v Speaker 18>on YouTube.

0:50:13.480 --> 0:50:15.480
<v Speaker 17>The first rocket was called the at One.

0:50:15.560 --> 0:50:20.000
<v Speaker 18>It's a T E A and and you know it's Peter,

0:50:21.040 --> 0:50:23.720
<v Speaker 18>two other guys, you know, and Peter's got this white

0:50:23.920 --> 0:50:26.600
<v Speaker 18>lab coat on to sort of add some kind of like.

0:50:27.160 --> 0:50:29.720
<v Speaker 17>Semblance so that he knows what he's doing.

0:50:30.239 --> 0:50:34.120
<v Speaker 18>And they're just literally in a shed on an island

0:50:34.320 --> 0:50:36.520
<v Speaker 18>in New Zealand, and he hits this button and the

0:50:36.600 --> 0:50:39.359
<v Speaker 18>rocket takes off and it works, and he's just out

0:50:39.400 --> 0:50:42.239
<v Speaker 18>there shouting. I mean, there's something like kind of just

0:50:42.360 --> 0:50:45.759
<v Speaker 18>very wholesome and authentic, and and you know, we write

0:50:45.760 --> 0:50:46.120
<v Speaker 18>about it.

0:50:46.120 --> 0:50:46.640
<v Speaker 17>In the story.

0:50:46.680 --> 0:50:49.480
<v Speaker 18>I mean, he's a bit of like the opposite the

0:50:49.560 --> 0:50:52.680
<v Speaker 18>anti Elon. This is not like a this is not

0:50:52.760 --> 0:50:55.600
<v Speaker 18>a guy on Twitter stirring things up. But you know,

0:50:55.640 --> 0:50:57.799
<v Speaker 18>he's just very focused on what he wants to do.

0:50:58.239 --> 0:51:01.080
<v Speaker 6>Okay, so we can definitely talk about the anti Elon,

0:51:01.160 --> 0:51:02.840
<v Speaker 6>But in order to talk about the anti Elon, we

0:51:02.880 --> 0:51:05.799
<v Speaker 6>also have to talk about the Elon because you know,

0:51:05.960 --> 0:51:10.840
<v Speaker 6>SpaceX obviously has pioneered this. What does Elon have to

0:51:10.840 --> 0:51:14.319
<v Speaker 6>say about Peter Beck and Planet Labs and the two

0:51:14.360 --> 0:51:15.520
<v Speaker 6>of them have met, actually.

0:51:15.320 --> 0:51:16.759
<v Speaker 17>Right, they have.

0:51:16.880 --> 0:51:23.640
<v Speaker 18>I mean I actually like arranged this dinner matchmaker. Elon's like,

0:51:24.520 --> 0:51:26.279
<v Speaker 18>Peter wanted to have dinner. I was like, well, you

0:51:26.320 --> 0:51:28.719
<v Speaker 18>better buy me a steak and bring me some flowers.

0:51:29.239 --> 0:51:32.040
<v Speaker 18>But you know, I mean SpaceX, Look, they are the

0:51:32.120 --> 0:51:35.279
<v Speaker 18>giant in this this field. They're sort of lapping everybody.

0:51:35.400 --> 0:51:38.560
<v Speaker 18>But the you know, Rocket Lab is incredibly real and

0:51:39.080 --> 0:51:42.600
<v Speaker 18>the only you know, other player. But I think for

0:51:42.680 --> 0:51:46.680
<v Speaker 18>Elon at least he Elon claims, you know, Rocket Lab

0:51:46.719 --> 0:51:48.640
<v Speaker 18>was not on his radar. We were talking on the

0:51:48.640 --> 0:51:50.359
<v Speaker 18>phone when I was in New Zealand. He's like, oh,

0:51:50.480 --> 0:51:53.560
<v Speaker 18>what are they up to? And then I did set

0:51:53.640 --> 0:51:56.080
<v Speaker 18>up this this dinner with Peter, and I think maybe

0:51:56.080 --> 0:51:59.560
<v Speaker 18>Elon's tune changed where Peter said, you know, it's kind

0:51:59.600 --> 0:52:02.880
<v Speaker 18>of like, be careful of poking the bear. Because because

0:52:02.880 --> 0:52:07.520
<v Speaker 18>shortly after they had this dinner, SpaceX started this program

0:52:07.600 --> 0:52:10.560
<v Speaker 18>where they do these these ride shares for small satellites,

0:52:10.560 --> 0:52:14.000
<v Speaker 18>and small satellites are like what rocket Lab specializes in,

0:52:14.160 --> 0:52:18.960
<v Speaker 18>and SpaceX drop the price drastically for what they charge

0:52:19.000 --> 0:52:22.080
<v Speaker 18>to take these small satellites up to orbit. And it looked,

0:52:22.280 --> 0:52:25.479
<v Speaker 18>you know, very much like a direct shot at rocket Lab.

0:52:26.040 --> 0:52:29.160
<v Speaker 18>So I don't know if Peter regrets regrets that invitation.

0:52:31.120 --> 0:52:35.120
<v Speaker 3>It sounds like yes, maybe, But it's interesting, I mean, Ashley,

0:52:35.120 --> 0:52:39.040
<v Speaker 3>when you look at the entire space race again, if

0:52:39.080 --> 0:52:41.160
<v Speaker 3>you will, it's a very different one than it was

0:52:41.239 --> 0:52:44.279
<v Speaker 3>from the sixties, right under President Kennedy, and it was

0:52:44.400 --> 0:52:46.200
<v Speaker 3>very government led, right, and all the money that was

0:52:46.239 --> 0:52:48.000
<v Speaker 3>plowing into it. I had a dad who was involved

0:52:48.000 --> 0:52:49.839
<v Speaker 3>in it, you know, from the government perspective and.

0:52:49.880 --> 0:52:51.279
<v Speaker 2>Public private partnerships.

0:52:51.520 --> 0:52:53.560
<v Speaker 3>When you look at it today, is it going to

0:52:53.640 --> 0:52:57.840
<v Speaker 3>require Yes, the Elon Musks and SpaceX's of the world,

0:52:57.880 --> 0:53:00.920
<v Speaker 3>but also the Peter Beck's in the Rocket Labs of

0:53:00.960 --> 0:53:02.719
<v Speaker 3>this world as well.

0:53:02.880 --> 0:53:05.360
<v Speaker 18>Oh yeah, yeah, I mean things are so different. I

0:53:05.400 --> 0:53:07.320
<v Speaker 18>mean it's kind of you know, sort of amazing like that.

0:53:07.719 --> 0:53:10.600
<v Speaker 18>From the Apollo era until about I don't know, ten

0:53:10.680 --> 0:53:11.919
<v Speaker 18>or fifteen years ago, you know.

0:53:11.880 --> 0:53:13.480
<v Speaker 17>Things really hadn't changed that much.

0:53:13.520 --> 0:53:17.439
<v Speaker 18>The rockets, look to say, the satellites were on very

0:53:17.480 --> 0:53:21.920
<v Speaker 18>antiquated technology, and we've had this huge shift. You know,

0:53:21.960 --> 0:53:24.239
<v Speaker 18>Space X sort of kicked things off, but now we

0:53:24.280 --> 0:53:27.400
<v Speaker 18>have We've got much cheaper rockets the satellites, like for

0:53:27.440 --> 0:53:29.239
<v Speaker 18>the first time, I write in the book, you know,

0:53:29.239 --> 0:53:32.120
<v Speaker 18>we've brought Moore's law to space. It used to be

0:53:32.239 --> 0:53:36.440
<v Speaker 18>these these very specialized computing systems that we're old and

0:53:36.440 --> 0:53:40.879
<v Speaker 18>we're using like consumer electronics. Now it's all very modernized.

0:53:41.040 --> 0:53:43.960
<v Speaker 18>And you know, the biggest data point I can give

0:53:44.000 --> 0:53:47.920
<v Speaker 18>people is that from the sixties until twenty twenty we

0:53:48.000 --> 0:53:51.640
<v Speaker 18>had put up two five hundred satellites in lower Thwarbit.

0:53:52.440 --> 0:53:55.080
<v Speaker 18>From twenty twenty to twenty twenty two, just the last

0:53:55.120 --> 0:53:58.000
<v Speaker 18>two years, that number doubled. It's going to double again

0:53:58.080 --> 0:54:00.000
<v Speaker 18>this year and the next year we're going to get

0:54:00.080 --> 0:54:02.080
<v Speaker 18>to one hundred thousand satellites.

0:54:02.200 --> 0:54:02.800
<v Speaker 2>It's amazing.

0:54:02.880 --> 0:54:05.319
<v Speaker 18>Possibly like in the next decade, and so you know,

0:54:05.360 --> 0:54:08.439
<v Speaker 18>it is not governments that are are putting all those

0:54:08.440 --> 0:54:11.239
<v Speaker 18>things up. These are companies that are building a sort

0:54:11.239 --> 0:54:14.600
<v Speaker 18>of computing shell around the planet. And I think this

0:54:14.680 --> 0:54:18.680
<v Speaker 18>is like our next is our next big technology infrastructure play,

0:54:18.760 --> 0:54:20.560
<v Speaker 18>you know, like the next stage after sort of the

0:54:20.600 --> 0:54:22.560
<v Speaker 18>dot com boom.

0:54:22.719 --> 0:54:24.719
<v Speaker 19>So by the end of your book, do we know

0:54:25.320 --> 0:54:26.480
<v Speaker 19>who is going to win?

0:54:28.680 --> 0:54:32.560
<v Speaker 17>No, this is still still tom.

0:54:32.760 --> 0:54:35.239
<v Speaker 3>I think it's going to be AI generated Ashley. It's

0:54:35.280 --> 0:54:36.959
<v Speaker 3>something that we just don't even know yet.

0:54:38.160 --> 0:54:40.719
<v Speaker 17>We already have. We've already got AI in space, you know,

0:54:40.840 --> 0:54:41.640
<v Speaker 17>for verre or worse.

0:54:42.040 --> 0:54:44.200
<v Speaker 18>But but you know, there's a couple companies that are

0:54:44.280 --> 0:54:47.400
<v Speaker 18>kind of clear winners, like Planet Labs is this satellite company.

0:54:47.480 --> 0:54:52.080
<v Speaker 18>They pioneered sort of the low cost satellite and they're

0:54:52.120 --> 0:54:54.719
<v Speaker 18>doing great. Rocket Lab I'm sure will be around. I

0:54:54.719 --> 0:54:57.279
<v Speaker 18>think we're going to have There was such this like

0:54:57.440 --> 0:55:01.480
<v Speaker 18>frenetic explosion of activity. All this back stuff helped, you know,

0:55:01.680 --> 0:55:04.040
<v Speaker 18>add some gas to the fire, and I think we're

0:55:04.040 --> 0:55:06.440
<v Speaker 18>going to have We just saw Virgin Orbit go bankrupt.

0:55:06.480 --> 0:55:08.960
<v Speaker 18>I think we're going to see a little retrenching here

0:55:08.960 --> 0:55:13.400
<v Speaker 18>for a minute. But the underlying principle that like the

0:55:13.440 --> 0:55:16.800
<v Speaker 18>economics of this, that this is a business as opposed

0:55:16.800 --> 0:55:19.440
<v Speaker 18>to a government led endeavor. You know, I think all

0:55:19.480 --> 0:55:20.720
<v Speaker 18>of that stuff holds.

0:55:20.840 --> 0:55:23.680
<v Speaker 6>Okay, So we got to talk about Rocket Labs here.

0:55:24.040 --> 0:55:27.600
<v Speaker 6>Who else figures into the book that you were excited about,

0:55:28.160 --> 0:55:28.440
<v Speaker 6>don't you?

0:55:28.560 --> 0:55:29.759
<v Speaker 17>Yeah?

0:55:30.000 --> 0:55:31.960
<v Speaker 18>I mean Planet Labs, the one I mentioned. They're the

0:55:32.000 --> 0:55:36.279
<v Speaker 18>satellite company. They've surrounded the Earth with hundreds of imaging satellites.

0:55:36.320 --> 0:55:39.640
<v Speaker 18>They take pictures of every spot on Earth all every

0:55:39.719 --> 0:55:41.680
<v Speaker 18>day and sort of get this.

0:55:42.080 --> 0:55:43.960
<v Speaker 17>Sounds like espionage, but it's not really.

0:55:44.040 --> 0:55:46.320
<v Speaker 18>It's more like this this kind of like real time

0:55:46.560 --> 0:55:51.560
<v Speaker 18>accounting system of human activity. You know, where is oil going,

0:55:51.560 --> 0:55:53.680
<v Speaker 18>how many cars are in a Walmart parking lot, how

0:55:53.680 --> 0:55:56.880
<v Speaker 18>many trees are in the Amazon sort of counting these things.

0:55:57.719 --> 0:56:00.759
<v Speaker 18>There's another company called Astra, which is like the the

0:56:00.760 --> 0:56:03.840
<v Speaker 18>opposite of Rocket Lab. It's this sort of like chaotic,

0:56:04.000 --> 0:56:07.160
<v Speaker 18>fast paced company that's trying to make the cheapest rockets

0:56:07.239 --> 0:56:10.439
<v Speaker 18>ever created and are sort of.

0:56:10.320 --> 0:56:12.759
<v Speaker 17>Going through some things and then maybe you know.

0:56:13.000 --> 0:56:16.919
<v Speaker 18>One of my absolute favorite stories is this guy Max Polyyakov,

0:56:16.920 --> 0:56:20.200
<v Speaker 18>who was the former owner of a company called Firefly.

0:56:20.320 --> 0:56:21.400
<v Speaker 17>He was Ukrainian.

0:56:22.600 --> 0:56:25.279
<v Speaker 18>He poured two hundred and fifty million dollars into this

0:56:25.400 --> 0:56:27.840
<v Speaker 18>rocket company, and then you'll see in my book the

0:56:28.320 --> 0:56:31.640
<v Speaker 18>US government tosses him out of the country right before

0:56:31.680 --> 0:56:33.200
<v Speaker 18>the war with Russia.

0:56:35.080 --> 0:56:39.880
<v Speaker 3>Unbelievable stories. Fifteen seconds. Elon, though, in your view based

0:56:39.880 --> 0:56:42.560
<v Speaker 3>on what you're seeing, because is still very central to

0:56:42.600 --> 0:56:43.239
<v Speaker 3>what's going on.

0:56:43.320 --> 0:56:45.920
<v Speaker 2>Just very quickly is Elon?

0:56:46.080 --> 0:56:46.960
<v Speaker 17>Did you say yeah?

0:56:47.000 --> 0:56:47.320
<v Speaker 2>Elon?

0:56:48.040 --> 0:56:48.200
<v Speaker 17>Oh?

0:56:48.280 --> 0:56:52.920
<v Speaker 18>Yeah, I mean SpaceX is just the dominant force looming

0:56:53.120 --> 0:56:56.400
<v Speaker 18>over everything in commercial space. They're lapping everybody.

0:56:56.560 --> 0:56:57.960
<v Speaker 3>Just watch if you have dinner with them, because he

0:56:58.040 --> 0:57:02.879
<v Speaker 3>might impact what he's going to do. Ashley Ohwi's Great

0:57:02.880 --> 0:57:05.399
<v Speaker 3>Stuff features writer Bloomberg business Week. Check out his new book,

0:57:05.440 --> 0:57:07.920
<v Speaker 3>When the Heavens Went On Sale, The Misfits and Geniuses

0:57:08.000 --> 0:57:10.840
<v Speaker 3>Racing to put Space within Reach an excerpt in the

0:57:10.840 --> 0:57:13.360
<v Speaker 3>new issue of Bloomberg Business Week on newstands, online and

0:57:13.400 --> 0:57:13.520
<v Speaker 3>on the.

0:57:13.520 --> 0:57:15.640
<v Speaker 2>Bloomberg and Our thanks to Jill Weber as well.

0:57:15.800 --> 0:57:16.600
<v Speaker 12>This is Bloomberg.

0:57:19.080 --> 0:57:22.680
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:57:22.680 --> 0:57:25.360
<v Speaker 1>live weekdays from two to five pm Eastern.

0:57:25.240 --> 0:57:28.600
<v Speaker 8>On Bloomberg Radio, the Bloomberg Business App, and you too.

0:57:28.880 --> 0:57:31.920
<v Speaker 1>You can also listen live to our flagship New York station.

0:57:32.480 --> 0:57:35.720
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty.

0:57:37.120 --> 0:57:38.640
<v Speaker 2>Carol Masser along with Jess Mettin.

0:57:38.680 --> 0:57:41.480
<v Speaker 3>She's back at our Bloomberg Interactive Broker's studio. I'm here

0:57:41.640 --> 0:57:44.880
<v Speaker 3>live in Beverly Hills at the Milkin Institute Global Conference.

0:57:45.440 --> 0:57:48.080
<v Speaker 3>I'm reading from a book and here's what it says.

0:57:48.160 --> 0:57:51.640
<v Speaker 3>Those first weeks that United were a frenzy of NonStop activity,

0:57:51.680 --> 0:57:53.640
<v Speaker 3>from the moment I walked into the office on my

0:57:53.680 --> 0:57:57.040
<v Speaker 3>first day to the moment my heartstop thirty seven days later.

0:57:57.160 --> 0:58:01.120
<v Speaker 3>This book is called turn Around Time, Uniting an Airline

0:58:01.120 --> 0:58:03.720
<v Speaker 3>and its employees in the Friendly Skies, and it's written

0:58:03.920 --> 0:58:06.840
<v Speaker 3>by Oscar Munos. He's the former CEO of United Airlines,

0:58:06.840 --> 0:58:10.200
<v Speaker 3>which then became United Continental and then back to United.

0:58:10.200 --> 0:58:13.400
<v Speaker 3>He was also executive chairman at United. Oscar, it is

0:58:13.520 --> 0:58:15.920
<v Speaker 3>so wonderful. I wish I was back in our studio

0:58:16.040 --> 0:58:20.320
<v Speaker 3>with you, and I know you're there with Jess. Congratulations

0:58:20.600 --> 0:58:23.520
<v Speaker 3>on the book. It's very personal and you talk about

0:58:23.520 --> 0:58:26.280
<v Speaker 3>your time at United. Tell us a little bit about

0:58:26.400 --> 0:58:31.840
<v Speaker 3>when you landed No pun intended as CEO in twenty fifteen,

0:58:32.000 --> 0:58:32.320
<v Speaker 3>it was.

0:58:32.320 --> 0:58:35.240
<v Speaker 2>Five years after their merger. What was top of mind?

0:58:35.280 --> 0:58:38.560
<v Speaker 20>What were you seeing Oh well, thanks thanks for having

0:58:38.720 --> 0:58:41.480
<v Speaker 20>me both of you. It's great to see you. And

0:58:41.560 --> 0:58:43.400
<v Speaker 20>I listened to you guys quite a bit, so it's

0:58:43.440 --> 0:58:44.360
<v Speaker 20>good to see you personally.

0:58:44.960 --> 0:58:45.160
<v Speaker 15>You know.

0:58:45.280 --> 0:58:48.960
<v Speaker 20>I think, you know, I had a lot of insight

0:58:49.000 --> 0:58:51.160
<v Speaker 20>into the business only because we all was on the board.

0:58:51.800 --> 0:58:53.720
<v Speaker 20>But as we all know, being on the board and

0:58:53.800 --> 0:58:56.120
<v Speaker 20>leading something in is a very different situation. So even

0:58:56.120 --> 0:58:59.240
<v Speaker 20>in a short few days as I met tonight traveled,

0:59:00.200 --> 0:59:02.680
<v Speaker 20>I could I could sense, you know, there were smiles

0:59:02.720 --> 0:59:05.400
<v Speaker 20>and nagulation and people wanting to say hello, but there

0:59:05.440 --> 0:59:07.840
<v Speaker 20>was always this kind of this lingering, holding on to

0:59:07.960 --> 0:59:10.920
<v Speaker 20>a sleeve sort of thing and look at like, almost

0:59:11.200 --> 0:59:14.120
<v Speaker 20>without being dramatic, you know, help me, help us sort

0:59:14.120 --> 0:59:16.800
<v Speaker 20>of things. So I could sense something, and I think

0:59:16.840 --> 0:59:22.160
<v Speaker 20>my first, my first interview, I used the terms I'm

0:59:22.160 --> 0:59:26.120
<v Speaker 20>finding our team disillusion disenfranchised, and disengaged then on the

0:59:26.160 --> 0:59:29.160
<v Speaker 20>three d's, just because they had and I also said

0:59:29.480 --> 0:59:31.240
<v Speaker 20>I'm a little embarrassed as a board member that we

0:59:31.280 --> 0:59:35.320
<v Speaker 20>didn't see this before. And so that's what I found

0:59:35.560 --> 0:59:37.960
<v Speaker 20>to your question, And then of course lots of things happened.

0:59:38.480 --> 0:59:40.440
<v Speaker 20>Everybody wants to know what you're gonna do first, and

0:59:40.480 --> 0:59:43.280
<v Speaker 20>I thought I would ask my team rather than myself.

0:59:45.840 --> 0:59:48.400
<v Speaker 3>All right, there's a lot I'm sure of conversations and

0:59:48.440 --> 0:59:51.200
<v Speaker 3>talking to your team. One month in though you did

0:59:51.240 --> 0:59:54.920
<v Speaker 3>suffer a near fatal heart attack, I can't even imagine

0:59:56.040 --> 1:00:00.840
<v Speaker 3>some of the things that you were dealing with personally, professionally.

1:00:01.360 --> 1:00:03.320
<v Speaker 2>Give us a little bit of what that was like.

1:00:03.320 --> 1:00:05.160
<v Speaker 3>I read a little bit of a passage from your book,

1:00:05.520 --> 1:00:08.280
<v Speaker 3>but I just can't even imagine. Take us again back there.

1:00:10.320 --> 1:00:12.640
<v Speaker 20>You know, it's every time I begin to talk about

1:00:12.680 --> 1:00:14.720
<v Speaker 20>it orally, when I write about it, all of that

1:00:14.840 --> 1:00:18.440
<v Speaker 20>comes back to you. Because heart disease is the biggest

1:00:18.480 --> 1:00:21.480
<v Speaker 20>killer in America by far. The symptoms are varied and wide,

1:00:21.760 --> 1:00:24.320
<v Speaker 20>the difference between men and women, and unfortunately, what a

1:00:24.360 --> 1:00:26.920
<v Speaker 20>lot of people do is they just ignore those signs

1:00:26.960 --> 1:00:28.960
<v Speaker 20>and you know, we take a shower, we lay down,

1:00:29.480 --> 1:00:32.080
<v Speaker 20>and of course never to be done. So I was

1:00:32.160 --> 1:00:34.560
<v Speaker 20>fortunate to have a good friend who's a cardiologist, who

1:00:34.600 --> 1:00:37.600
<v Speaker 20>I did a lot of again, I trained for you know,

1:00:37.640 --> 1:00:41.000
<v Speaker 20>we ran marathons, we did long bike rides.

1:00:41.040 --> 1:00:42.800
<v Speaker 15>I mean, so I was fit. I was a vegan.

1:00:43.240 --> 1:00:46.240
<v Speaker 20>But he'd always kind of warned us that heart diseases

1:00:46.840 --> 1:00:49.520
<v Speaker 20>is not optics, it's internal plumbing.

1:00:50.160 --> 1:00:51.479
<v Speaker 15>And one day in.

1:00:51.360 --> 1:00:54.000
<v Speaker 20>Particular, he said something to the degree that listen, if

1:00:54.000 --> 1:00:56.560
<v Speaker 20>you ever feel anything weird, call nine one one. The

1:00:56.600 --> 1:00:59.520
<v Speaker 20>worst you can be is embarrassed. And then he added

1:00:59.560 --> 1:01:01.680
<v Speaker 20>something that I remembered those a couple of years later

1:01:01.720 --> 1:01:04.320
<v Speaker 20>when I had my event, when he said, when when

1:01:04.360 --> 1:01:07.120
<v Speaker 20>you call nine one one, immediately tell him where.

1:01:06.880 --> 1:01:09.840
<v Speaker 15>You are, which like, duh, of course that makes sense.

1:01:10.160 --> 1:01:12.800
<v Speaker 20>But then he had it because you may not make

1:01:12.840 --> 1:01:15.840
<v Speaker 20>it past the phone call, and I remember exactly where

1:01:15.880 --> 1:01:18.880
<v Speaker 20>I was, and I'm like, okay, that's a little dramatic.

1:01:19.320 --> 1:01:22.000
<v Speaker 20>But two years later, I'm sitting there having my vegan

1:01:22.040 --> 1:01:24.400
<v Speaker 20>protein shake after a run, and my phone buzzes and

1:01:24.440 --> 1:01:26.480
<v Speaker 20>I go to move it and my legs sort of

1:01:26.480 --> 1:01:29.160
<v Speaker 20>give out. I feel clammy, and his words came rushing back.

1:01:29.680 --> 1:01:32.240
<v Speaker 20>I crawled over to the landline. Some of you may

1:01:32.280 --> 1:01:35.400
<v Speaker 20>know what that is and call nine one one and

1:01:35.400 --> 1:01:37.960
<v Speaker 20>told him immediately where I was. So thirty seven days

1:01:38.000 --> 1:01:40.400
<v Speaker 20>into the job, and again in the story you really

1:01:40.440 --> 1:01:44.840
<v Speaker 20>can't make up thirty seven minutes later, Wow as in

1:01:44.840 --> 1:01:47.040
<v Speaker 20>the hospital and I was on life support on a

1:01:47.080 --> 1:01:51.480
<v Speaker 20>heart artificial heart lung machine because I had my heart

1:01:51.520 --> 1:01:52.880
<v Speaker 20>had gotten pretty blown up.

1:01:53.760 --> 1:01:58.640
<v Speaker 21>And how did this end up basically transforming your career

1:01:58.840 --> 1:02:01.720
<v Speaker 21>as well as how you ended up managing United through

1:02:01.760 --> 1:02:04.920
<v Speaker 21>what Carol was just talking about, this huge transformation between

1:02:04.960 --> 1:02:07.880
<v Speaker 21>twenty fifteen up until early in the pandemic when you

1:02:07.880 --> 1:02:08.600
<v Speaker 21>were still CEO.

1:02:09.680 --> 1:02:12.120
<v Speaker 20>You know, the few days, the thirty seven days before

1:02:12.280 --> 1:02:15.040
<v Speaker 20>the event, the Heart event, I got a chance to

1:02:15.080 --> 1:02:17.720
<v Speaker 20>meet a lot of the people that united what became

1:02:17.960 --> 1:02:21.439
<v Speaker 20>pretty immediately my family. And so to your question, there's

1:02:21.440 --> 1:02:25.600
<v Speaker 20>two things that happen, not quite transformational, but certainly ratifying.

1:02:26.120 --> 1:02:30.080
<v Speaker 20>The outpouring of love, support, kindness, food, flowers, car herds

1:02:30.080 --> 1:02:34.240
<v Speaker 20>from all over the world from the United Family was amazing.

1:02:34.480 --> 1:02:38.840
<v Speaker 20>My kids would read those notes every day, so you know,

1:02:38.880 --> 1:02:41.680
<v Speaker 20>I confirmed what I had seen out there. These these

1:02:41.680 --> 1:02:44.680
<v Speaker 20>are wonderful people, but they're sort of wandering nomad's in

1:02:44.720 --> 1:02:46.160
<v Speaker 20>the desert, and there's no North.

1:02:45.960 --> 1:02:48.240
<v Speaker 15>Star for that, by the way, North starts Plaris, and

1:02:48.280 --> 1:02:49.600
<v Speaker 15>if you fly us, you know us.

1:02:49.680 --> 1:02:53.120
<v Speaker 20>So there's a history and a tie into everything. So

1:02:53.360 --> 1:02:55.920
<v Speaker 20>the people were amazing. The second thing for all of

1:02:56.000 --> 1:02:58.400
<v Speaker 20>us out here, you know, this concept of mind over

1:02:58.480 --> 1:03:00.960
<v Speaker 20>body and all that sort of stuff. I never once

1:03:01.760 --> 1:03:04.240
<v Speaker 20>thought I was never coming back. I never once thought

1:03:04.280 --> 1:03:08.120
<v Speaker 20>I was in any kind of serious situation. My doctors

1:03:08.360 --> 1:03:09.240
<v Speaker 20>didn't agree with me.

1:03:09.320 --> 1:03:11.160
<v Speaker 21>Right, I mean, I'm surprised to hear you were a

1:03:11.240 --> 1:03:13.680
<v Speaker 21>vegan and this happened typically to think that would be

1:03:13.680 --> 1:03:15.160
<v Speaker 21>obviously more healthy lifestyle.

1:03:15.360 --> 1:03:19.240
<v Speaker 20>Again, you know, heart disease is a genetic aspect. I

1:03:19.240 --> 1:03:22.400
<v Speaker 20>didn't know my biological father, so I didn't have any

1:03:22.400 --> 1:03:24.360
<v Speaker 20>of that history. So it's what's important for all of

1:03:24.440 --> 1:03:28.400
<v Speaker 20>us get. You know, if an EKG doesn't do anything

1:03:28.520 --> 1:03:31.400
<v Speaker 20>stress tests do. There's more invasive process and there's a

1:03:31.480 --> 1:03:34.040
<v Speaker 20>lot of great new technology that's coming out that's going

1:03:34.120 --> 1:03:38.160
<v Speaker 20>to be if you think about breast cancer and the

1:03:38.240 --> 1:03:40.600
<v Speaker 20>old way we used to you know, women used to

1:03:40.600 --> 1:03:40.800
<v Speaker 20>do it.

1:03:40.880 --> 1:03:42.120
<v Speaker 15>Now mimography comes in.

1:03:42.400 --> 1:03:45.040
<v Speaker 20>There's new as a company called Clearly that I'm involved

1:03:45.040 --> 1:03:47.840
<v Speaker 20>with that does in essence mimography for the heart. So

1:03:47.840 --> 1:03:50.080
<v Speaker 20>there's a lot of waste to do that. But you know,

1:03:50.320 --> 1:03:53.640
<v Speaker 20>the transformation was partly that and partly the fact of

1:03:53.920 --> 1:03:57.080
<v Speaker 20>I was, you know, I just I love this United

1:03:57.080 --> 1:03:59.680
<v Speaker 20>Team and we knew we had to do something about it, and.

1:03:59.680 --> 1:04:02.800
<v Speaker 15>Didn't who I was, didn't chinchaw I'd led, But.

1:04:02.800 --> 1:04:04.880
<v Speaker 20>Of course there's a level of gratitude that comes with

1:04:04.920 --> 1:04:05.960
<v Speaker 20>surviving something like that.

1:04:06.280 --> 1:04:09.960
<v Speaker 3>So how did you create a culture that was better

1:04:10.040 --> 1:04:14.439
<v Speaker 3>for employees, better for the company overall, and better for

1:04:14.520 --> 1:04:15.960
<v Speaker 3>those who flew United.

1:04:17.040 --> 1:04:19.280
<v Speaker 15>This will be a shocking revelation.

1:04:20.360 --> 1:04:25.520
<v Speaker 20>I did nothing but actually listen and learn from the

1:04:25.600 --> 1:04:27.760
<v Speaker 20>tens of thousands of people that we have out in

1:04:27.760 --> 1:04:30.000
<v Speaker 20>the field that take care of you, the people you

1:04:30.040 --> 1:04:31.920
<v Speaker 20>see and the people that you don't see below the

1:04:31.920 --> 1:04:35.840
<v Speaker 20>wing and in the maintenance facilities. And then the thirty

1:04:35.880 --> 1:04:38.600
<v Speaker 20>seven days before I was on a massive listening tour

1:04:38.720 --> 1:04:45.520
<v Speaker 20>and nothing, nothing structured, nothing deeply you know, academic or intellectual.

1:04:45.560 --> 1:04:48.240
<v Speaker 20>It was just a human conversation. It's like, just tell

1:04:48.280 --> 1:04:49.800
<v Speaker 20>me how it's going, tell me what you can think.

1:04:49.840 --> 1:04:51.760
<v Speaker 20>And I heard lots of different things, and in a

1:04:51.840 --> 1:04:55.000
<v Speaker 20>very pivotal moment for the turnaround in United, it's on

1:04:55.040 --> 1:04:57.600
<v Speaker 20>a flight with a flight attendant. And I was on

1:04:57.640 --> 1:04:59.240
<v Speaker 20>a flight and I went in and talked with the

1:04:59.240 --> 1:05:01.920
<v Speaker 20>flight TENSI hig, I'm Oscar, and she clearly did not

1:05:02.080 --> 1:05:02.800
<v Speaker 20>want to talk to me.

1:05:03.080 --> 1:05:07.760
<v Speaker 15>Oh really, that's how far we had disengaged our folks.

1:05:07.800 --> 1:05:10.160
<v Speaker 20>It's like I don't want to listen, you know, why

1:05:10.200 --> 1:05:12.080
<v Speaker 20>am I going to waste my breath right over time?

1:05:12.120 --> 1:05:14.560
<v Speaker 20>We had had I don't know five six CEOs in

1:05:14.560 --> 1:05:17.600
<v Speaker 20>the last few years. What she said to me when

1:05:17.640 --> 1:05:19.760
<v Speaker 20>I finally got her to open up, she just said, Oscar,

1:05:19.840 --> 1:05:22.240
<v Speaker 20>I'm just tired of always having to say I'm sorry,

1:05:22.680 --> 1:05:25.120
<v Speaker 20>I'm sorry, the coffee sex, I'm sorry, we're late. And

1:05:25.160 --> 1:05:27.320
<v Speaker 20>if you think about an individual that works with such

1:05:27.320 --> 1:05:29.880
<v Speaker 20>a large global company, who we embodied this concept of

1:05:29.920 --> 1:05:32.800
<v Speaker 20>friendly skies, but everything was broken and they are the

1:05:32.840 --> 1:05:36.480
<v Speaker 20>ones that had to, in essence, you know, apologize, That's

1:05:36.520 --> 1:05:39.440
<v Speaker 20>how you lose human engagement. And so to your question,

1:05:39.560 --> 1:05:42.040
<v Speaker 20>how we built the culture is just from that perspective,

1:05:42.160 --> 1:05:45.000
<v Speaker 20>is just telling them like, okay, employees, you don't have

1:05:45.080 --> 1:05:47.840
<v Speaker 20>to do anything. I and this team have to regain

1:05:47.880 --> 1:05:50.000
<v Speaker 20>your trust and from that we're going to build what

1:05:50.560 --> 1:05:51.120
<v Speaker 20>you see now.

1:05:51.520 --> 1:05:52.840
<v Speaker 2>So I am curious.

1:05:52.960 --> 1:05:54.880
<v Speaker 3>You know, we're all flying around. People want to go

1:05:54.920 --> 1:06:01.320
<v Speaker 3>out and experience things. The industry today it can be stressful. Again,

1:06:01.800 --> 1:06:04.400
<v Speaker 3>what is it that you think we could do better

1:06:04.480 --> 1:06:07.040
<v Speaker 3>in the airline industry? And I think I know there's

1:06:07.080 --> 1:06:09.200
<v Speaker 3>things you've talked about in terms of the type of

1:06:09.200 --> 1:06:12.320
<v Speaker 3>fuel that's being used because it certainly has a carbon imprint.

1:06:12.880 --> 1:06:14.480
<v Speaker 3>We just have about a minute left. How do you

1:06:14.520 --> 1:06:17.640
<v Speaker 3>think it can go to the next level if you will?

1:06:18.080 --> 1:06:18.840
<v Speaker 15>I think two things.

1:06:18.880 --> 1:06:21.840
<v Speaker 20>I think from a broader perspective, air traffic control in

1:06:21.880 --> 1:06:24.880
<v Speaker 20>America is outdated and obsolete. If we don't start getting

1:06:24.880 --> 1:06:27.000
<v Speaker 20>it fixed soon, like a lot of the other infrastructure,

1:06:27.040 --> 1:06:29.200
<v Speaker 20>we're going to pay the price. I know it's easy

1:06:29.240 --> 1:06:31.280
<v Speaker 20>to blame the airlines for a lot of the delays.

1:06:31.480 --> 1:06:33.400
<v Speaker 20>We are often hampered by the fact that we can't

1:06:33.440 --> 1:06:35.080
<v Speaker 20>put a lot of airplanes in the air because we

1:06:35.160 --> 1:06:38.320
<v Speaker 20>can effectively and safety monitor them without slowing everything down

1:06:38.600 --> 1:06:41.440
<v Speaker 20>A and B. You know, a little carrying goes a

1:06:41.440 --> 1:06:44.120
<v Speaker 20>long way. You're not the only one that has something

1:06:44.160 --> 1:06:46.160
<v Speaker 20>important to go to. And if you just kind of

1:06:46.240 --> 1:06:48.880
<v Speaker 20>lay back a little bit, you know, have a little care.

1:06:48.920 --> 1:06:51.760
<v Speaker 20>If somebody is in a wheelchair, you know they're in

1:06:51.800 --> 1:06:53.760
<v Speaker 20>a worse state than you, and I know they're holding

1:06:53.840 --> 1:06:54.360
<v Speaker 20>you up.

1:06:54.560 --> 1:06:57.560
<v Speaker 15>But it wouldn't be a bad thing if you just

1:06:57.720 --> 1:06:59.240
<v Speaker 15>show it to a little love and care.

1:06:59.720 --> 1:07:02.800
<v Speaker 3>We're going to leave it on that note. Just great

1:07:02.800 --> 1:07:05.040
<v Speaker 3>words in a world where I think it's very trying

1:07:05.120 --> 1:07:06.760
<v Speaker 3>on a lot of people. We certainly see it from

1:07:06.760 --> 1:07:10.080
<v Speaker 3>the financial perspective, but just in general, there's a lot

1:07:10.120 --> 1:07:12.600
<v Speaker 3>coming at people and great to hear your story and

1:07:12.640 --> 1:07:16.840
<v Speaker 3>to see you know what you personally and professionally have achieved.

1:07:16.840 --> 1:07:19.080
<v Speaker 3>So Oscar, thank you so much for for spending some

1:07:19.160 --> 1:07:21.920
<v Speaker 3>time with us. Oscar Munnos He is of course the

1:07:21.920 --> 1:07:26.160
<v Speaker 3>former CEO of United Airlines executive chairman as well, and

1:07:26.240 --> 1:07:28.480
<v Speaker 3>his new book is turned around Time Uniting an airline

1:07:28.520 --> 1:07:31.720
<v Speaker 3>and it's employees in the friendly sky. So some really,

1:07:32.080 --> 1:07:35.840
<v Speaker 3>you know, just logical about how we can make things better.

1:07:35.880 --> 1:07:37.880
<v Speaker 3>And it's amazing when you start listening to people what

1:07:38.040 --> 1:07:39.080
<v Speaker 3>you cannot find out.

1:07:39.320 --> 1:07:40.840
<v Speaker 2>All right, Oscar, thank you so much.

1:07:44.800 --> 1:07:48.400
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:07:48.400 --> 1:07:52.080
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

1:07:52.280 --> 1:07:55.120
<v Speaker 1>the Bloomberg Business app and you too. You can also

1:07:55.280 --> 1:07:59.200
<v Speaker 1>listen live to our flagship New York station, Just Say Alexa,

1:07:59.360 --> 1:08:02.200
<v Speaker 1>play bloom Berg You Love Them Dirty.

1:08:02.440 --> 1:08:02.600
<v Speaker 4>Well.

1:08:02.600 --> 1:08:04.920
<v Speaker 3>The new I show Bloomberg BusinessWeek is out on news stands,

1:08:04.960 --> 1:08:07.240
<v Speaker 3>online and on the Bloomberg terminal, and that means we

1:08:07.280 --> 1:08:09.840
<v Speaker 3>get to dive into the latest pursuit section and for

1:08:09.960 --> 1:08:13.040
<v Speaker 3>our summer arts preview edition, we have not one, but

1:08:13.040 --> 1:08:15.320
<v Speaker 3>two great voices to help guide us through it. Chris

1:08:15.400 --> 1:08:17.800
<v Speaker 3>Rouser is the editor of Pursuits and James Tarmi is

1:08:17.840 --> 1:08:21.040
<v Speaker 3>our resident arts columnist and the opener of this week's

1:08:21.040 --> 1:08:23.640
<v Speaker 3>section deals with the elite collectibles market, which looks like

1:08:23.680 --> 1:08:26.840
<v Speaker 3>it could be following the broader economy into recession. So

1:08:27.400 --> 1:08:29.439
<v Speaker 3>what does it mean that we're no longer splurging on

1:08:29.479 --> 1:08:31.080
<v Speaker 3>all these things that I thought were supposed to be

1:08:31.120 --> 1:08:33.000
<v Speaker 3>resistant even in an economic downturn.

1:08:33.240 --> 1:08:36.400
<v Speaker 22>Yes, So people tend to think of collectibles like wine,

1:08:36.520 --> 1:08:40.800
<v Speaker 22>fine art, maybe watches, gold, whatever, to be detached from

1:08:40.800 --> 1:08:43.080
<v Speaker 22>the stock market and to just be detached from the

1:08:43.120 --> 1:08:48.000
<v Speaker 22>broader economy. And you know, during the pandemic, collectibles like

1:08:48.080 --> 1:08:51.639
<v Speaker 22>classic cars, like watches and jewelry and handbags really soared

1:08:51.680 --> 1:08:53.840
<v Speaker 22>because people weren't spending a lot of money on other

1:08:53.880 --> 1:08:58.440
<v Speaker 22>things like maybe living life, traveling in restaurants. So collectibles

1:08:58.600 --> 1:09:02.880
<v Speaker 22>became more broadly popular and soared in value. Now that

1:09:02.920 --> 1:09:05.720
<v Speaker 22>people are spending money on other things and people have

1:09:05.840 --> 1:09:08.360
<v Speaker 22>maybe bought the classic car that they wanted over the

1:09:08.439 --> 1:09:11.599
<v Speaker 22>past three years, the market is softening for these things.

1:09:12.080 --> 1:09:14.960
<v Speaker 22>A fine art can maybe be more cyclical, and James,

1:09:15.000 --> 1:09:16.600
<v Speaker 22>who wrote the story can talk to us about that.

1:09:16.800 --> 1:09:18.680
<v Speaker 22>This is the opener to our section, which is all

1:09:18.720 --> 1:09:22.240
<v Speaker 22>about our summer Arts preview and culture preview.

1:09:22.439 --> 1:09:23.400
<v Speaker 2>Mister Tarmi, come on in.

1:09:23.920 --> 1:09:26.280
<v Speaker 16>I do think that we are at an interesting tipping

1:09:26.280 --> 1:09:29.599
<v Speaker 16>point because a lot of participants in the collectable market

1:09:29.920 --> 1:09:35.440
<v Speaker 16>broadly really started during COVID, and so there is a perception,

1:09:36.439 --> 1:09:39.599
<v Speaker 16>not unfounded by the people who are sort of new

1:09:39.720 --> 1:09:43.080
<v Speaker 16>to these various categories, that anything they buy will go up,

1:09:43.200 --> 1:09:46.599
<v Speaker 16>because that's what happened basically from twenty twenty to late

1:09:46.640 --> 1:09:50.639
<v Speaker 16>twenty twenty two. And now you're seeing the growth curve

1:09:50.880 --> 1:09:54.960
<v Speaker 16>slow or flatline. It's not to say that these categories

1:09:55.000 --> 1:09:58.120
<v Speaker 16>are collapsing by any means, but you're certainly not seeing

1:09:58.160 --> 1:10:03.280
<v Speaker 16>returns that are out pacing the S and P. And

1:10:03.360 --> 1:10:06.719
<v Speaker 16>so what it does is one, it pokes a hole

1:10:07.240 --> 1:10:09.599
<v Speaker 16>in this notion that these are a hedge against traditional

1:10:09.680 --> 1:10:14.000
<v Speaker 16>equity markets. And two, it is a real kind of

1:10:14.120 --> 1:10:19.120
<v Speaker 16>come down for people who might have assumed that they

1:10:19.160 --> 1:10:24.200
<v Speaker 16>were buying something to then resell it at a spectacular profit.

1:10:24.400 --> 1:10:27.840
<v Speaker 16>And it's very interesting to drill down from category to

1:10:27.920 --> 1:10:31.080
<v Speaker 16>category to actually look at what various experts are saying

1:10:31.120 --> 1:10:35.120
<v Speaker 16>about the mid, short, and long term future of these

1:10:35.200 --> 1:10:37.240
<v Speaker 16>various objects, and Chris.

1:10:37.080 --> 1:10:38.599
<v Speaker 2>Touched on some of it. So go through them because

1:10:38.640 --> 1:10:38.840
<v Speaker 2>you do.

1:10:38.880 --> 1:10:42.600
<v Speaker 3>You cover cars, you cover wine, you cover handbags, sports memorabilia.

1:10:42.640 --> 1:10:45.439
<v Speaker 3>I mean, I kind of love how you started with

1:10:45.479 --> 1:10:47.840
<v Speaker 3>a pair of Michael Jordan sneakers, which we're expected to

1:10:47.880 --> 1:10:49.719
<v Speaker 3>go through for a lot, right.

1:10:49.560 --> 1:10:51.320
<v Speaker 16>Yes, well, and this is the thing, and this is

1:10:51.880 --> 1:10:54.880
<v Speaker 16>the real paradox of it. The sneakers still set a

1:10:54.960 --> 1:10:58.800
<v Speaker 16>worldwide auction record, right, they hammered for one point eight

1:10:58.840 --> 1:11:01.280
<v Speaker 16>million dollars in an auction bumped to the total up

1:11:01.320 --> 1:11:03.360
<v Speaker 16>to two point two million dollars for a pair of

1:11:03.439 --> 1:11:04.360
<v Speaker 16>you sneakers.

1:11:04.479 --> 1:11:06.240
<v Speaker 7>Right, they are.

1:11:06.240 --> 1:11:09.840
<v Speaker 16>Collectibles, but are my culture. They are, and they have

1:11:10.160 --> 1:11:15.479
<v Speaker 16>real cultural sociological cachet. But it's still two point two

1:11:15.479 --> 1:11:18.479
<v Speaker 16>million dollars a ton of money. The joke, though, is

1:11:18.520 --> 1:11:21.080
<v Speaker 16>that it's the very very bottom end of where they

1:11:21.080 --> 1:11:23.120
<v Speaker 16>were expected to go. They had a high estimate of

1:11:23.160 --> 1:11:26.120
<v Speaker 16>four million dollars, and there's a tremendous amount of chatter

1:11:27.040 --> 1:11:29.600
<v Speaker 16>leading up to the sale speculating that these would be

1:11:29.680 --> 1:11:33.360
<v Speaker 16>ten fifteen million dollars sneakers. So they set an auction record,

1:11:33.360 --> 1:11:35.960
<v Speaker 16>but they still disappointed people in the actual category. And

1:11:36.000 --> 1:11:41.240
<v Speaker 16>that's what you see similarly in classic cars, right, you

1:11:41.280 --> 1:11:44.040
<v Speaker 16>still see some very good prices, you see some strong results,

1:11:44.320 --> 1:11:46.599
<v Speaker 16>but you don't see dazzling results.

1:11:46.720 --> 1:11:48.080
<v Speaker 3>Chris, I want to bring you in on watches because

1:11:48.120 --> 1:11:49.960
<v Speaker 3>you guys just did a whole big section on like

1:11:50.000 --> 1:11:52.800
<v Speaker 3>the yes, unbelievable watches. So what's going on with that,

1:11:52.840 --> 1:11:55.040
<v Speaker 3>because that's another thing I felt like some would always

1:11:55.040 --> 1:11:55.799
<v Speaker 3>hold their value.

1:11:56.000 --> 1:11:56.400
<v Speaker 4>Yeah.

1:11:56.479 --> 1:11:59.599
<v Speaker 22>So you know, watches over the past fifteen twenty years

1:11:59.600 --> 1:12:02.400
<v Speaker 22>have really like had a slow burning boom and then

1:12:02.439 --> 1:12:05.439
<v Speaker 22>in the past five four or five years really taken off.

1:12:05.439 --> 1:12:07.200
<v Speaker 22>And I remember during the pandemic talking to friends of

1:12:07.200 --> 1:12:09.360
<v Speaker 22>mine who are collectors, who were like, just buy a watch,

1:12:09.439 --> 1:12:11.920
<v Speaker 22>is guaranteed to be worth the three times what you

1:12:12.000 --> 1:12:14.559
<v Speaker 22>bought it for, you know, in five years, And I said, no,

1:12:14.600 --> 1:12:18.520
<v Speaker 22>it's not. You think that because you joined this collector's

1:12:18.560 --> 1:12:21.400
<v Speaker 22>market during this boom, and like you think everything is

1:12:21.439 --> 1:12:23.200
<v Speaker 22>just going to double the second you buy it, and

1:12:23.240 --> 1:12:26.360
<v Speaker 22>that's not true. And this and we're seeing that now

1:12:26.400 --> 1:12:29.080
<v Speaker 22>in the watch market. The high end resell market for

1:12:29.120 --> 1:12:32.080
<v Speaker 22>watches is softening, especially for these things that people have

1:12:32.160 --> 1:12:34.680
<v Speaker 22>really been competing over. So people with high value collections

1:12:34.920 --> 1:12:37.400
<v Speaker 22>have seen the value of their watch collection it's decrease.

1:12:37.840 --> 1:12:40.600
<v Speaker 22>Now that said, do I think watches are going to

1:12:40.600 --> 1:12:42.479
<v Speaker 22>grow generally into the future.

1:12:42.600 --> 1:12:42.800
<v Speaker 16>Yes.

1:12:42.920 --> 1:12:44.160
<v Speaker 22>Is it hard to get a new watch?

1:12:44.280 --> 1:12:44.559
<v Speaker 4>Yes?

1:12:44.680 --> 1:12:46.960
<v Speaker 22>Is there still a big market for this, Yes, it's

1:12:47.000 --> 1:12:49.360
<v Speaker 22>just not going to give you those crazy returns of

1:12:49.400 --> 1:12:50.760
<v Speaker 22>people were seeing in the past two years.

1:12:50.800 --> 1:12:52.400
<v Speaker 2>Kind of like a reality check, Yeah, totally.

1:12:52.439 --> 1:12:54.599
<v Speaker 3>And this whole idea of assets don't always go up,

1:12:54.640 --> 1:12:56.680
<v Speaker 3>You're right, like had we have a generation that just

1:12:56.680 --> 1:12:59.000
<v Speaker 3>doesn't understand that, just like inflation goes up.

1:12:59.280 --> 1:13:01.920
<v Speaker 22>But gen z it believes now when they buy something

1:13:01.960 --> 1:13:03.639
<v Speaker 22>that it's not something that they own and then they

1:13:03.640 --> 1:13:05.920
<v Speaker 22>throw out like it's something that they can trade and resell.

1:13:06.000 --> 1:13:08.439
<v Speaker 22>So that that has changed the dynamic for all these

1:13:08.439 --> 1:13:12.360
<v Speaker 22>collectible markets. And now for handbags, for example, maybe burkins

1:13:12.400 --> 1:13:14.960
<v Speaker 22>broadly are sort of softening the very high end ones

1:13:14.960 --> 1:13:18.200
<v Speaker 22>are like Dynamite, but more inexpensive bags that or more

1:13:18.200 --> 1:13:20.720
<v Speaker 22>broader range are actually going up because people kind of

1:13:20.720 --> 1:13:23.320
<v Speaker 22>want less expensive alternatives.

1:13:22.760 --> 1:13:26.240
<v Speaker 16>Right, And what we are seeing is a bifurcation in

1:13:26.280 --> 1:13:30.040
<v Speaker 16>the market between very very kind of powerful name brands

1:13:30.240 --> 1:13:32.960
<v Speaker 16>like Rimez Birket, bags like roll Exys and so forth,

1:13:33.000 --> 1:13:36.679
<v Speaker 16>and things that might be slightly lower down on the

1:13:36.760 --> 1:13:41.840
<v Speaker 16>kind of spectrum of prestige. And that makes intuitive sense

1:13:42.000 --> 1:13:46.160
<v Speaker 16>because the price discovery already exists, right, Thousands of Rolexes

1:13:46.160 --> 1:13:48.800
<v Speaker 16>have already sold, so you know that you're buying a

1:13:48.880 --> 1:13:52.000
<v Speaker 16>Rolex for an accurate price. It's harder when there is

1:13:52.080 --> 1:13:56.960
<v Speaker 16>a slightly lower tier or a niche brand, or some

1:13:57.120 --> 1:14:00.559
<v Speaker 16>slightly more customized thing where you don't necessar really know

1:14:00.600 --> 1:14:01.799
<v Speaker 16>what you're actually purchasing.

1:14:01.960 --> 1:14:03.680
<v Speaker 2>It's a really great point. Where do you want to go?

1:14:04.040 --> 1:14:06.080
<v Speaker 22>Let's go to the best Books of Summer because we

1:14:06.120 --> 1:14:07.320
<v Speaker 22>always love books.

1:14:07.640 --> 1:14:09.760
<v Speaker 12>Tells, Yes, is he just like?

1:14:09.800 --> 1:14:10.680
<v Speaker 2>Can he just not do?

1:14:11.120 --> 1:14:11.200
<v Speaker 4>Like?

1:14:11.280 --> 1:14:12.240
<v Speaker 2>He just does everything?

1:14:12.520 --> 1:14:12.800
<v Speaker 4>Enough?

1:14:12.920 --> 1:14:13.400
<v Speaker 9>Is enough?

1:14:13.479 --> 1:14:13.719
<v Speaker 7>Matter?

1:14:13.800 --> 1:14:15.840
<v Speaker 4>Things to leave something for the rest of it?

1:14:16.200 --> 1:14:18.040
<v Speaker 2>Deserted Island? Oh you did that? Made a movie?

1:14:18.040 --> 1:14:18.200
<v Speaker 8>Oh?

1:14:18.240 --> 1:14:18.559
<v Speaker 2>Sorry?

1:14:18.680 --> 1:14:18.960
<v Speaker 4>Yeah?

1:14:19.200 --> 1:14:21.479
<v Speaker 22>Yeah, the Making of Them made of another major motion

1:14:21.560 --> 1:14:23.679
<v Speaker 22>picture masterpiece by Tom Hanks, is going to be great.

1:14:23.720 --> 1:14:26.000
<v Speaker 22>It's going to be a big book. There's also Elliott

1:14:26.040 --> 1:14:29.040
<v Speaker 22>Page's memoir Page Boy, which we're really excited about, and

1:14:29.120 --> 1:14:30.759
<v Speaker 22>the new Colson Whitehead book also.

1:14:30.800 --> 1:14:31.679
<v Speaker 4>Yeah, that very good.

1:14:31.720 --> 1:14:36.160
<v Speaker 16>Honestly, probably my favorite of the bunch, which one the

1:14:36.200 --> 1:14:39.760
<v Speaker 16>Colson Whitehead. It's set in the nineteen seventies Harlem and

1:14:40.240 --> 1:14:44.320
<v Speaker 16>is a mosaic of characters, but it follows the protagonist

1:14:44.400 --> 1:14:49.439
<v Speaker 16>who's this kind of family man and also furniture salesman

1:14:49.640 --> 1:14:55.240
<v Speaker 16>and also like low key criminal fence as he navigates

1:14:55.439 --> 1:14:58.720
<v Speaker 16>Harlem as the entire city of New York, but particularly

1:14:59.040 --> 1:15:05.840
<v Speaker 16>Harlem sort of degenerates into anarchy. So it's a lot

1:15:05.880 --> 1:15:06.160
<v Speaker 16>of fun.

1:15:06.200 --> 1:15:08.439
<v Speaker 2>And this is over Jackson five tickets, right.

1:15:08.400 --> 1:15:10.439
<v Speaker 16>Well, that's how it begins. It's like a one more

1:15:10.520 --> 1:15:12.880
<v Speaker 16>job and he's out because he wants to get his

1:15:13.040 --> 1:15:15.840
<v Speaker 16>daughter tickets to Jackson five. It's magnificent.

1:15:16.400 --> 1:15:18.040
<v Speaker 2>I've been trying to get Taylor Swift tickets. I know

1:15:18.080 --> 1:15:18.439
<v Speaker 2>what this is.

1:15:18.520 --> 1:15:20.559
<v Speaker 4>Like, Well, there you go, it's just this version.

1:15:20.560 --> 1:15:23.000
<v Speaker 22>You're gonna have to sell a Rolex to get.

1:15:22.840 --> 1:15:23.479
<v Speaker 12>And I can't.

1:15:23.880 --> 1:15:25.679
<v Speaker 2>All right, one more thing. What do you want to highlight?

1:15:25.920 --> 1:15:26.599
<v Speaker 16>UK arts?

1:15:27.479 --> 1:15:29.080
<v Speaker 2>I didn't realize money funding.

1:15:29.720 --> 1:15:34.000
<v Speaker 16>Well, this is the thing, you know, it's been going

1:15:34.000 --> 1:15:38.720
<v Speaker 16>on for a while. The funding government funding for UK

1:15:38.840 --> 1:15:41.360
<v Speaker 16>arts institutions has not kept pace with inflation, and it's

1:15:41.360 --> 1:15:45.040
<v Speaker 16>also become a lot more diffuse so organizations that for

1:15:45.160 --> 1:15:50.879
<v Speaker 16>decades relied on the government paying for their various bills

1:15:50.920 --> 1:15:52.840
<v Speaker 16>no longer can rely on that. But at the very

1:15:52.880 --> 1:15:56.920
<v Speaker 16>moment where it's becoming a truly critical issue, there is

1:15:57.000 --> 1:16:02.800
<v Speaker 16>an increasing scrutiny on the source of private funds, and

1:16:02.880 --> 1:16:07.120
<v Speaker 16>so UK arts institutions in particular are in a real

1:16:07.320 --> 1:16:11.720
<v Speaker 16>pickle because they are stuck between a rock, which is

1:16:12.600 --> 1:16:15.960
<v Speaker 16>dwindling funding from the government, and a hard place, which

1:16:16.000 --> 1:16:19.680
<v Speaker 16>is an audience that will not accept, or a very

1:16:19.760 --> 1:16:23.280
<v Speaker 16>vocal part of an audience that will not accept funds

1:16:23.560 --> 1:16:26.919
<v Speaker 16>from companies that are perceived to be bad for the environment,

1:16:27.040 --> 1:16:30.200
<v Speaker 16>like the big oil companies exactly, or even companies that

1:16:30.320 --> 1:16:31.559
<v Speaker 16>might be gambling companies.

1:16:31.640 --> 1:16:31.960
<v Speaker 7>And so.

1:16:33.600 --> 1:16:37.920
<v Speaker 16>The problem is that people don't really have a fantastic

1:16:38.120 --> 1:16:40.880
<v Speaker 16>answer for where else they can go. And unlike the US,

1:16:41.280 --> 1:16:43.960
<v Speaker 16>where you know, we have a very long history of

1:16:44.000 --> 1:16:47.639
<v Speaker 16>relying on private philanthropy, that doesn't really exist in the UK,

1:16:47.800 --> 1:16:51.519
<v Speaker 16>So people are forced to get creative and they're really

1:16:51.760 --> 1:16:52.920
<v Speaker 16>staring down a barrel here.

1:16:53.040 --> 1:16:54.719
<v Speaker 3>Yeah, I thought this was really kind of eye opening.

1:16:54.760 --> 1:16:56.280
<v Speaker 3>I had no idea first of all, what was going

1:16:56.439 --> 1:16:59.680
<v Speaker 3>on over there, and then how they're getting creative to

1:16:59.720 --> 1:17:01.599
<v Speaker 3>bring and funding. There's a lot more in that story.

1:17:01.600 --> 1:17:04.679
<v Speaker 3>There's a lot more in this section, including the upcoming

1:17:04.760 --> 1:17:07.360
<v Speaker 3>art auctions which people will be buying, but it's going

1:17:07.400 --> 1:17:08.479
<v Speaker 3>to be a little bit different as well.

1:17:08.600 --> 1:17:10.680
<v Speaker 2>Really all right, guys, we got to run. Thank you

1:17:10.760 --> 1:17:11.800
<v Speaker 2>so much, so love it.

1:17:12.040 --> 1:17:14.400
<v Speaker 3>That's the dynamic duo of Chris Rouser and James Tarmi

1:17:14.479 --> 1:17:17.240
<v Speaker 3>on the Bloomberg Pursuit Summer Arts Preview. Always great to

1:17:17.240 --> 1:17:17.800
<v Speaker 3>speak with them.

1:17:18.280 --> 1:17:21.840
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:17:21.880 --> 1:17:25.559
<v Speaker 1>live weekdays from two to five pm Eastern on Bloomberg Radio,

1:17:25.760 --> 1:17:28.639
<v Speaker 1>the Bloomberg Business App, and you too. You can also

1:17:28.720 --> 1:17:32.760
<v Speaker 1>listen live to our flagship New York station, Just Say Alexa,

1:17:32.880 --> 1:17:36.000
<v Speaker 1>play Bloomberg You Love Them thirty So.

1:17:36.080 --> 1:17:38.680
<v Speaker 3>Last year, four point one billion dollars in tequila was

1:17:38.720 --> 1:17:39.759
<v Speaker 3>exported from Mexico.

1:17:39.840 --> 1:17:40.719
<v Speaker 2>That's up one.

1:17:40.680 --> 1:17:44.960
<v Speaker 3>Hundred and sixteen percent from twenty nineteen, Americans sucking up

1:17:45.040 --> 1:17:48.840
<v Speaker 3>eighty one percent of this and women edging out men

1:17:48.880 --> 1:17:50.960
<v Speaker 3>in consumption. But when it comes to women running the

1:17:50.960 --> 1:17:53.639
<v Speaker 3>brands in Mexico, well, there are just a few odd

1:17:53.800 --> 1:17:57.240
<v Speaker 3>Considering that women have been so involved in tequila and

1:17:57.280 --> 1:18:00.559
<v Speaker 3>mescal for centuries. So one such woman who did launch

1:18:00.560 --> 1:18:04.240
<v Speaker 3>her own brand is Bertha Gonzales Nieves, an alumna of

1:18:04.280 --> 1:18:08.320
<v Speaker 3>Jose Corbo International. She co founded Casa Dragonez Tequila in

1:18:08.320 --> 1:18:11.200
<v Speaker 3>two thousand and eight. She joins us on Asmayo de

1:18:11.320 --> 1:18:14.200
<v Speaker 3>Sinco on Zoom from the Hotel Matilda in San Miguel

1:18:14.880 --> 1:18:19.640
<v Speaker 3>de Allende, Mexico. I'm sure I like killed some of

1:18:19.680 --> 1:18:22.479
<v Speaker 3>the pronunciations, so I'm really sorry about that.

1:18:22.760 --> 1:18:24.040
<v Speaker 2>Asicico demayo. Sorry.

1:18:24.840 --> 1:18:27.040
<v Speaker 3>I haven't even started drinking on the Cicco demio and

1:18:27.040 --> 1:18:30.080
<v Speaker 3>I'm already messing things up. Bertha, is so nice to

1:18:30.080 --> 1:18:32.759
<v Speaker 3>have you here with Jess and myself on Bloomberg Business Week.

1:18:33.240 --> 1:18:34.360
<v Speaker 2>Welcome, Welcome, Welcome.

1:18:34.439 --> 1:18:36.479
<v Speaker 3>First of all, for those who are watching on YouTube

1:18:36.600 --> 1:18:39.639
<v Speaker 3>and our streaming service, tell us where you are, because

1:18:39.640 --> 1:18:40.840
<v Speaker 3>it's stunning behind you.

1:18:41.920 --> 1:18:44.960
<v Speaker 23>Carolyn, Jess, I'm super excited to be here on the

1:18:45.000 --> 1:18:47.960
<v Speaker 23>show and not such a special date, and I'm actually

1:18:48.000 --> 1:18:51.439
<v Speaker 23>moved locations. I was in Hotel Matilda, which I call

1:18:51.520 --> 1:18:53.799
<v Speaker 23>my home away from home here in San Miguel de Allende,

1:18:54.200 --> 1:18:57.960
<v Speaker 23>but we are at La Casadra in San Miguel.

1:18:57.840 --> 1:19:01.000
<v Speaker 2>And this is the Obsidian bar Ah so this is

1:19:01.040 --> 1:19:02.919
<v Speaker 2>where people can visit right to do sampling.

1:19:03.080 --> 1:19:07.599
<v Speaker 23>Correct, Yes, this is where we do tastings, and we do.

1:19:07.720 --> 1:19:10.840
<v Speaker 23>We just actually are closing up Cocktail week here in

1:19:10.880 --> 1:19:14.600
<v Speaker 23>San Miguel, and we had such exciting jamming sessions with

1:19:14.640 --> 1:19:17.880
<v Speaker 23>some of the top bars in the world like Atta

1:19:17.960 --> 1:19:21.679
<v Speaker 23>Boid Dante employees only, So it's a very exciting week

1:19:21.680 --> 1:19:22.400
<v Speaker 23>here in San Miguel.

1:19:22.479 --> 1:19:24.040
<v Speaker 3>So you talk about sampling, We're going to do a

1:19:24.040 --> 1:19:26.160
<v Speaker 3>little sampling because you are kind enough to send us

1:19:26.160 --> 1:19:28.759
<v Speaker 3>some and I'm going to pour it for Jess and myself.

1:19:29.000 --> 1:19:30.640
<v Speaker 3>We're going to be very careful becus we're still on

1:19:30.720 --> 1:19:32.519
<v Speaker 3>air and we still have to finish up our broadcast.

1:19:33.640 --> 1:19:36.600
<v Speaker 3>But as you open and as I pour, love to

1:19:36.640 --> 1:19:39.720
<v Speaker 3>tell you a little bit about your tequila and what

1:19:39.760 --> 1:19:41.840
<v Speaker 3>you guys have done. There's so many out there on

1:19:41.880 --> 1:19:44.639
<v Speaker 3>the market, but tell us about what makes your special.

1:19:46.439 --> 1:19:47.719
<v Speaker 15>So we are.

1:19:49.400 --> 1:19:53.080
<v Speaker 23>We became entrepreneurs in the tequila industry for the opportunity

1:19:53.280 --> 1:19:56.160
<v Speaker 23>of continue to push the boundaries of what has been

1:19:56.160 --> 1:20:01.320
<v Speaker 23>done before and try to ex found that tequila repertoire

1:20:01.680 --> 1:20:06.240
<v Speaker 23>through modern production and showcasing the beauty and the gift

1:20:06.280 --> 1:20:09.320
<v Speaker 23>of Mexican craftsmanship. So what we're trying to do is

1:20:09.320 --> 1:20:14.120
<v Speaker 23>we believe that, you know, expanding the experience of taste

1:20:15.120 --> 1:20:18.280
<v Speaker 23>to continue to seduce the palettes out there that not

1:20:18.320 --> 1:20:21.400
<v Speaker 23>only are lovers of tequila, but also love and respect

1:20:21.479 --> 1:20:26.800
<v Speaker 23>other categories like champagne or pognac or whiskeys. And we

1:20:26.840 --> 1:20:30.519
<v Speaker 23>want to showcase the complexity and the real beauty of

1:20:30.560 --> 1:20:33.040
<v Speaker 23>the spirit in every single label that we do. And

1:20:33.080 --> 1:20:35.439
<v Speaker 23>I think the best example of the innovation that we

1:20:35.520 --> 1:20:38.479
<v Speaker 23>bring to the category it's it's expressing the tequila that

1:20:38.479 --> 1:20:40.080
<v Speaker 23>we're going to try today on the show, which is

1:20:40.120 --> 1:20:44.639
<v Speaker 23>Casa Reposao, which is a tequila that the first tequila

1:20:44.680 --> 1:20:49.519
<v Speaker 23>ever that has been rested in Japanese Mitsunata oak casts.

1:20:49.840 --> 1:20:52.519
<v Speaker 3>I have and I'm smelling it and it's really lovely.

1:20:52.560 --> 1:20:54.160
<v Speaker 3>It's very soft and smooth.

1:20:55.640 --> 1:20:56.799
<v Speaker 11>Yeah, it's very beautiful.

1:20:56.880 --> 1:21:02.639
<v Speaker 23>It has these beautiful butter Scotch magnolia flower and still

1:21:03.400 --> 1:21:08.320
<v Speaker 23>elevates and showcases the herbaceous, the citrus and the floral

1:21:08.360 --> 1:21:10.920
<v Speaker 23>notes that people come for in tequila.

1:21:11.080 --> 1:21:13.519
<v Speaker 21>And I know you've talked about how this is important

1:21:13.520 --> 1:21:17.240
<v Speaker 21>to be savored, not necessarily be taken in shots.

1:21:17.240 --> 1:21:19.759
<v Speaker 12>Can you talk to us about the craftsmanshift here.

1:21:21.160 --> 1:21:23.680
<v Speaker 23>So when we founded the company, we set on a

1:21:23.760 --> 1:21:27.599
<v Speaker 23>quest to deliver a true sipping tequila. We wanted to

1:21:27.680 --> 1:21:31.280
<v Speaker 23>prove that tequila can be part of the of the

1:21:31.360 --> 1:21:34.639
<v Speaker 23>sipping ocation, of the spirits industry, of the luxury sipping occasion,

1:21:35.160 --> 1:21:39.200
<v Speaker 23>and as people are sipping on single malts and cognacs,

1:21:39.240 --> 1:21:42.599
<v Speaker 23>we wanted to have to showcase that tequila you can

1:21:42.640 --> 1:21:43.759
<v Speaker 23>actually sip and savor.

1:21:44.080 --> 1:21:45.400
<v Speaker 11>So what we're trying to do.

1:21:45.720 --> 1:21:51.120
<v Speaker 23>Is continue to evolve the spirit, you know, on the

1:21:51.160 --> 1:21:54.080
<v Speaker 23>way people perceive it and the role that it really

1:21:54.120 --> 1:21:57.320
<v Speaker 23>plays in a sip in occasion. So that's why this

1:21:57.479 --> 1:22:00.840
<v Speaker 23>plant is such an extraordinary plant. There's around six hundred

1:22:00.880 --> 1:22:04.440
<v Speaker 23>different aromas and flavors cataloged in the Mexican Academy of Tequila.

1:22:04.520 --> 1:22:07.919
<v Speaker 23>So the options that we have as producers are really endless,

1:22:08.160 --> 1:22:11.920
<v Speaker 23>and we want to showcase that complexity and that balance

1:22:11.960 --> 1:22:15.040
<v Speaker 23>and that richness in everything we do, as well as

1:22:15.040 --> 1:22:17.599
<v Speaker 23>the purity of our water and our gavet in all

1:22:17.600 --> 1:22:18.440
<v Speaker 23>of our expressions.

1:22:18.560 --> 1:22:21.320
<v Speaker 3>Bertha, I have to say I am not a lover

1:22:21.439 --> 1:22:24.280
<v Speaker 3>of tequila on its own usually, and I just kind

1:22:24.280 --> 1:22:26.040
<v Speaker 3>of said to Jess, I think had my first shot

1:22:26.120 --> 1:22:28.760
<v Speaker 3>maybe just about a year ago, which is kind of embarrassing,

1:22:29.080 --> 1:22:30.960
<v Speaker 3>and I often drink it in Margarita's.

1:22:31.240 --> 1:22:34.320
<v Speaker 2>But this is really lovely. It's very gentle, very smooth.

1:22:34.880 --> 1:22:37.559
<v Speaker 3>And you talk about the choices that you have, I mean,

1:22:38.200 --> 1:22:41.280
<v Speaker 3>because not all tequila is the same, So how do

1:22:41.320 --> 1:22:43.479
<v Speaker 3>you choose in terms of what you want to put in.

1:22:45.640 --> 1:22:49.000
<v Speaker 12>We you know, we become entrepreneurs for having the.

1:22:48.960 --> 1:22:53.960
<v Speaker 23>Opportunity of exploration and satisfying never ending curiosities. I think

1:22:54.000 --> 1:22:57.200
<v Speaker 23>that if people enjoy as much our tequila as we

1:22:57.280 --> 1:22:59.720
<v Speaker 23>enjoy producing it, we're doing something right.

1:23:00.280 --> 1:23:02.919
<v Speaker 11>So the decisions that we take.

1:23:02.880 --> 1:23:06.559
<v Speaker 23>Are just always based on our juice being the hero

1:23:06.680 --> 1:23:11.160
<v Speaker 23>of our company. So we truly give ourselves a chance

1:23:11.200 --> 1:23:14.320
<v Speaker 23>to explore and truly give ourselves a chance to When

1:23:14.320 --> 1:23:19.040
<v Speaker 23>we had the idea with Reposado Misunara, we had the

1:23:19.080 --> 1:23:22.960
<v Speaker 23>idea of really studying Japanese whisky and really trying to

1:23:23.040 --> 1:23:25.439
<v Speaker 23>learn what they have accomplished in the last twenty years

1:23:25.720 --> 1:23:27.960
<v Speaker 23>and the nuances and the beauty of the spirit they

1:23:27.960 --> 1:23:31.040
<v Speaker 23>were delivering. And that's how we found the Misunata cask.

1:23:31.640 --> 1:23:34.800
<v Speaker 23>And then we went on a quest to convince, you know,

1:23:34.880 --> 1:23:36.320
<v Speaker 23>the only independent.

1:23:35.840 --> 1:23:37.320
<v Speaker 11>Producer family in.

1:23:37.320 --> 1:23:40.439
<v Speaker 23>Japan of Japanese casks, and you know, it took us

1:23:40.479 --> 1:23:43.280
<v Speaker 23>time to convince them. I remember in twenty eighteen they

1:23:43.280 --> 1:23:46.400
<v Speaker 23>sold us two casks and with those two casks, we

1:23:46.479 --> 1:23:50.400
<v Speaker 23>started really like learning about, you know, the relationship within

1:23:51.200 --> 1:23:54.040
<v Speaker 23>tequila and this Japanese oak. And as time went by,

1:23:54.080 --> 1:23:56.280
<v Speaker 23>we started following in love more and more and more.

1:23:57.120 --> 1:24:01.160
<v Speaker 23>So it's less about us having having the freedom of

1:24:01.200 --> 1:24:02.960
<v Speaker 23>a canvas and really exploring it.

1:24:03.280 --> 1:24:06.639
<v Speaker 11>And then really we're committed to bringing your news to.

1:24:06.600 --> 1:24:10.200
<v Speaker 23>The tequila lover and that's really kind of like the

1:24:10.240 --> 1:24:11.880
<v Speaker 23>decision making process that we follow.

1:24:12.000 --> 1:24:15.439
<v Speaker 3>Our Bluebird Pursuits did an incredible story that highlighted you

1:24:15.600 --> 1:24:18.240
<v Speaker 3>among a few other women where it's women.

1:24:18.120 --> 1:24:20.639
<v Speaker 2>Led tequila companies out of Mexico.

1:24:20.720 --> 1:24:22.360
<v Speaker 3>And what they pointed out is that women have been

1:24:22.400 --> 1:24:26.240
<v Speaker 3>involved in the tequila or the making of tequila for

1:24:26.320 --> 1:24:28.599
<v Speaker 3>a long long time, and yet there are a few

1:24:28.600 --> 1:24:30.680
<v Speaker 3>that are running their own companies. You are doing it.

1:24:30.800 --> 1:24:33.840
<v Speaker 3>How difficult. I hate to ask this question, but you

1:24:33.920 --> 1:24:37.000
<v Speaker 3>are a rarity. How tough has it been to build

1:24:37.040 --> 1:24:39.200
<v Speaker 3>to be a woman in the tequila industry in Mexico?

1:24:39.240 --> 1:24:41.400
<v Speaker 3>And just got about forty forty five seconds.

1:24:42.600 --> 1:24:43.760
<v Speaker 11>Yeah, No, I think it's been.

1:24:45.080 --> 1:24:47.280
<v Speaker 23>I don't have another frame of reference. I only have

1:24:47.439 --> 1:24:50.559
<v Speaker 23>the history of my own career. Yeah, but it's been,

1:24:50.680 --> 1:24:54.479
<v Speaker 23>you know, it's it's definitely there's been challenges in the

1:24:54.520 --> 1:24:58.320
<v Speaker 23>industry for me. But I always focus on building my

1:24:58.479 --> 1:25:02.840
<v Speaker 23>career by really focusing on my craft and let my

1:25:02.920 --> 1:25:06.799
<v Speaker 23>craft open the door, you know, rather than position myself

1:25:06.840 --> 1:25:09.360
<v Speaker 23>as a woman in the tequila industry, because I really

1:25:09.400 --> 1:25:11.000
<v Speaker 23>want to be shown will I really want to be

1:25:11.040 --> 1:25:14.479
<v Speaker 23>recognized as a professional in the tequila industry rather than

1:25:14.560 --> 1:25:18.040
<v Speaker 23>a woman in the in the tequila industry, and because

1:25:18.080 --> 1:25:22.439
<v Speaker 23>I believe that, uh, craft doesn't recognize gender and uh

1:25:22.479 --> 1:25:25.240
<v Speaker 23>and that's really my focus and I continue to really

1:25:25.320 --> 1:25:29.479
<v Speaker 23>just stay focused on that. But today I believe that

1:25:29.520 --> 1:25:32.160
<v Speaker 23>there had been many women before in the tequila industry.

1:25:32.160 --> 1:25:34.960
<v Speaker 23>They were just they never were recognized for it. And

1:25:35.000 --> 1:25:38.360
<v Speaker 23>today I'm really excited to, you know, to welcome more

1:25:38.400 --> 1:25:42.120
<v Speaker 23>women into the industry. Yeah, and constantly talk about that.

1:25:42.439 --> 1:25:45.280
<v Speaker 23>You know, your passion into an industry should not be

1:25:45.360 --> 1:25:47.880
<v Speaker 23>based on your gender. You should just choose something that

1:25:47.920 --> 1:25:51.559
<v Speaker 23>intellectually provides you with a platform for your growth and

1:25:51.600 --> 1:25:52.120
<v Speaker 23>your development.

1:25:52.240 --> 1:25:57.519
<v Speaker 3>Bertha, It's a pretty incredible. Cassidragniz on this single. Demayo

1:25:58.200 --> 1:26:00.400
<v Speaker 3>are really lovely tequila and great to check with you

1:26:00.520 --> 1:26:02.000
<v Speaker 3>and hear about your story.

1:26:02.360 --> 1:26:03.600
<v Speaker 2>This is Bloomberg.

1:26:04.479 --> 1:26:09.120
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1:26:09.280 --> 1:26:12.800
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1:26:12.800 --> 1:26:16.120
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1:26:16.160 --> 1:26:19.519
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1:26:19.680 --> 1:26:22.400
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