WEBVTT - Bloomberg Businessweek Weekend - January 2nd, 2026

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

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

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

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

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

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

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

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<v Speaker 3>Happy New Year, and as we wrapped up one year

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<v Speaker 3>kicked off another. Some of the main themes for twenty

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<v Speaker 3>twenty six definitely came into focus just in the past

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<v Speaker 3>week or two. A focus on the FED, the conundrum

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<v Speaker 3>of the US consumer, the AI spend and build out,

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<v Speaker 3>and political division, debate and disruption. Yes, sounds a lot

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<v Speaker 3>like how we began twenty twenty five one year ago.

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<v Speaker 4>So this hour we explore the health of the consumer

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<v Speaker 4>and how AI impacting the retail space, and more broadly,

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<v Speaker 4>where the AI spend may take investors in twenty twenty six.

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<v Speaker 4>On politics, we check out what New York City's political

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<v Speaker 4>shift could mean for business in the Big Apple. A

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<v Speaker 4>well known voice to the city's executive suite and member

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<v Speaker 4>of the transition team of the city's new mayor, Zo

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<v Speaker 4>run Mamdani stops by.

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<v Speaker 3>Plus, we've got the story of the Donald Trump meme

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<v Speaker 3>coin launch and how the team behind it made an

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<v Speaker 3>estimated three hundred and fifty million dollars while many other

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<v Speaker 3>investors lost money. Then, in our second hour, in honor

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<v Speaker 3>of New Year celebrations, we kick back and dig into

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<v Speaker 3>some of our favorite conversations of the past year with

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<v Speaker 3>leaders in the wine and spirits businesses.

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<v Speaker 4>Perfect for a little New Year's celebration.

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<v Speaker 3>Yes, I feel like we've earned it this past week.

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<v Speaker 4>Yeah, I think that's fair to say. All that to come.

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<v Speaker 4>We begin, though, with AI affecting a lot in our world,

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<v Speaker 4>with much more forecast to come. We may get a

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<v Speaker 4>peek into that this coming week at CEES. It's the

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<v Speaker 4>annual Consumer Technology Conference and it gets underway in Las

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<v Speaker 4>Vegas this coming week. The biggest names in tech, including Nvidia, AMD, Samsung,

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<v Speaker 4>and more, will make the case for AI their target audience, investors,

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<v Speaker 4>corporate clients, and perhaps just as importantly, ordinary shoppers who've

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<v Speaker 4>yet to be fully sold on the idea of AI

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<v Speaker 4>infused gadgets.

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<v Speaker 3>And speaking of we ordinary shoppers. They we are increasingly

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<v Speaker 3>using AI agents to perform deep discount hunting, real time

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<v Speaker 3>product comparisons, and personalized gift curation that according to data

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<v Speaker 3>from the AI Shopping Optimization platform.

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<v Speaker 4>Novy, retailers including Macy's, Sephora, Target, and Alta, along with

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<v Speaker 4>thousands of other consumer package goods brands, rely on Novy

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<v Speaker 4>to optimize their product data for AI driven discovery. Kimberly

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<v Speaker 4>Shank is the company's CEO. She joined Carol and Bloomberg's.

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<v Speaker 5>Vonnie Quinn Novi's technology.

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<v Speaker 6>We're actually helping retailers and brands increase their sales by

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<v Speaker 6>ensuring their products are found and trusted and then ultimately

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<v Speaker 6>recommended by AI models. So thank CHATCHBT, Gemini and Claude

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<v Speaker 6>and so we do this. We work with leading retailers

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<v Speaker 6>including Macy's, Sephora, Target, Aulta, thousands of CpG brands, and

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<v Speaker 6>they rely on us to optimize their product data for

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<v Speaker 6>AI driven discovery by consumers.

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<v Speaker 3>So when you say that, it's basically a consumer who

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<v Speaker 3>does something and their data is processed and recorded, and

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<v Speaker 3>they're saying, oh, you bought that pair of pants, maybe

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<v Speaker 3>you would like this pair of pants is that is

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<v Speaker 3>it as simple as something like that or is it

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<v Speaker 3>more sophisticated.

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<v Speaker 6>It's a little bit different in terms of consumers now

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<v Speaker 6>flocking to chat shipt or Gemini and asking questions to

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<v Speaker 6>actually do their shopping. So they're outsourcing a lot of

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<v Speaker 6>their research, discount hunting, you know, personalized gift curation to

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<v Speaker 6>the AI agent who's then gooing and finding products and

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<v Speaker 6>recommending it to them based on just questions and prompts.

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<v Speaker 1>So who are your competitors and how do you stand

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<v Speaker 1>out from them?

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<v Speaker 5>It's interesting.

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<v Speaker 6>So there's a couple of different up and coming competitors

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<v Speaker 6>in the tech space who are helping brands and retailers

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<v Speaker 6>stand out in AI shopping. But we also have a

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<v Speaker 6>lot of the older, more traditional data companies because we

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<v Speaker 6>are a data company and we feed data with throw

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<v Speaker 6>our partnerships with our retailer partners. So think about Syndigo

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<v Speaker 6>or Salsify or even Nilsen Iq some of those older

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<v Speaker 6>data partnership players. So a lot of what we're doing

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<v Speaker 6>in these partnerships, and we'll be able to announce some

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<v Speaker 6>of them really soon, is feeding trustworthy, personalized information to

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<v Speaker 6>the models themselves, which is what we have seen at

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<v Speaker 6>NOV to increase your potential as a brand to show

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<v Speaker 6>up in AI shopping. So we found that you know,

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<v Speaker 6>products that have verified trust signals are a selected two

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<v Speaker 6>hundred and fifty nine percent more often than random chance

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<v Speaker 6>to think like certifications, reviews, badges, third party testing. And

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<v Speaker 6>we're feeding this directly to the retailers and the models

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<v Speaker 6>so that they help the brands show up in AI

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<v Speaker 6>recommendations to consumers.

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<v Speaker 3>So one of the things I always think about, Kim

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<v Speaker 3>is like, how much of what is spent on AI

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<v Speaker 3>to kind of attract consumers retailers or folks to retailers. So,

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<v Speaker 3>in other words, that AI driven traffic to retail sites,

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<v Speaker 3>how much of it is productive that results in actually

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<v Speaker 3>a consumer buying something.

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<v Speaker 6>Yeah, that's actually a very interesting question. So we're seeing

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<v Speaker 6>the traffics start to increase. There's actually we saw from

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<v Speaker 6>Adobe Analytics, like we just said, five hundred and twenty

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<v Speaker 6>percent over last year from AI.

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<v Speaker 5>But what we're not sure about yet is conversion.

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<v Speaker 6>And this is just because CHATCHBT, Gemini, none of them

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<v Speaker 6>are publishing the conversion.

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<v Speaker 5>Results, but we at no V.

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<v Speaker 6>What we did see is that chatgbt's shopping research answers

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<v Speaker 6>sent consumers directly to the brand's website eighty six percent

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<v Speaker 6>of the time, which means that the remainder of traffic,

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<v Speaker 6>you know, only about fourteen percent was sent to the

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<v Speaker 6>large retailers like Walmart or Target. And so what brands

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<v Speaker 6>are starting to see is more and more direct consumer

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<v Speaker 6>traffic to their website, which is driving conversion in sales

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<v Speaker 6>for them.

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<v Speaker 3>So would you say, based on the data that you see,

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<v Speaker 3>could you see so much data that the consumer's doing well,

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<v Speaker 3>that retail's doing well? Like how much could you can

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<v Speaker 3>obviously break it down? Probably a lot, So give us

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<v Speaker 3>a little bit of insight as we get ready to

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<v Speaker 3>wrap up this hotiday shopping season.

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<v Speaker 6>Well, so what we're actually seeing is, you know, consumers

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<v Speaker 6>are using AI as their category manager.

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<v Speaker 5>So think of.

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<v Speaker 6>It is we all used to trust the big box

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<v Speaker 6>retailers for their ability to manage each shopping category, do

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<v Speaker 6>the curation for us.

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<v Speaker 5>And that's why you walked into a Target, right.

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<v Speaker 6>They scoured the earth for the best, most compelling products

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<v Speaker 6>and we trusted them to do that. But now, and

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<v Speaker 6>what we say saw play out this holiday season, the

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<v Speaker 6>consumer has shifted their trust to AI to do the

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<v Speaker 6>research and curation for them. So we're seeing strong numbers

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<v Speaker 6>and users using chat to BT and shopping, but it's

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<v Speaker 6>just not quite played out yet and we'll see that

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<v Speaker 6>in twenty twenty six.

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<v Speaker 5>Is where that conversion is going to happen.

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<v Speaker 6>If it's going to happen direct on the brand websites

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<v Speaker 6>are still in retail.

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<v Speaker 1>Kimbridy, just a word on yourselves, how difficult is it

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<v Speaker 1>to raise money?

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<v Speaker 5>What are the key words that.

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<v Speaker 1>Investors are looking for these days? And you know the

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<v Speaker 1>key ideas.

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<v Speaker 5>Yes, AI is definitely the hot topic.

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<v Speaker 6>If you are not involved in AI, doing something future

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<v Speaker 6>with your company that's progressing AI.

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<v Speaker 5>So for example, we're an agentic commerce.

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<v Speaker 6>That is what is hot for investors these days, and

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<v Speaker 6>that's what is raising money and getting the majority of

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<v Speaker 6>the cowpit.

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<v Speaker 5>In Soldier Valley.

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<v Speaker 4>That was Kimberly Shanks, CEO of Novi Vonnie sticking around

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<v Speaker 4>for this next conversation.

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<v Speaker 3>Yeah, that's right, Tim, and it was a chat where

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<v Speaker 3>we explored what may be the next AI trade for investors.

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<v Speaker 3>Chip makers, no doubt have been the biggest winners of

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<v Speaker 3>the artificial intelligence spending frenzy this year and really for

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<v Speaker 3>a couple of years now, and Wall Street will look

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<v Speaker 3>for that momentum to continue for some of the biggest

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<v Speaker 3>names in twenty twenty six.

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<v Speaker 4>And Yet, as Bloomberg's Ian King wrote in this week's

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<v Speaker 4>Tech and Deaf newsletter, quote, watching the less publicized chip

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<v Speaker 4>makers may be a better way of assessing the future

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<v Speaker 4>of artificial intelligence than keeping an eye on market leader

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<v Speaker 4>in Vidia. To talk the AI trade and what we

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<v Speaker 4>may expect this year, Carolyn Vonnie spoke to Bloomberg opinion

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<v Speaker 4>columnist Dave Lee.

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<v Speaker 7>This will be a year when we start to say,

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<v Speaker 7>you know, to what degree is AI actually being used

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<v Speaker 7>in real world applications? How is it changing logistics and

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<v Speaker 7>healthcare and medical.

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<v Speaker 3>Story, how the return on investment?

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<v Speaker 7>Right, well, precisely return on investment, the practical use is

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<v Speaker 7>and that is something that for all the talk in

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<v Speaker 7>our current year about this that's kind of been missing.

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<v Speaker 7>It's all down the road, right And so Ian in

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<v Speaker 7>his PC highlights companies like Texas Instruments and Analog Devices,

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<v Speaker 7>And these are companies that specialize in kind of the

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<v Speaker 7>sort of lesser hailed parts of chip making, things that

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<v Speaker 7>go into cars, things that go into any you know,

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<v Speaker 7>sort of less sophisticated devices than say smartphones and so on.

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<v Speaker 7>They and when it comes to AI, what we're talking

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<v Speaker 7>about there is what we call edge computing, So not

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<v Speaker 7>AI that happens in a big cloud somewhere, but something

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<v Speaker 7>that happens on a device or inside a robot or

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<v Speaker 7>does something that needs an immediate response from AI that

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<v Speaker 7>could be incredibly transformative. And so when investors are looking

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<v Speaker 7>at chip makers that are you know, that are on

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<v Speaker 7>the markets and want to say, well, who might be

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<v Speaker 7>an unsung hero those those companies may may may be

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<v Speaker 7>a clue.

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<v Speaker 3>Dave, how much of two? Maybe in twenty twenty six

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<v Speaker 3>will also be about more productive chips Like I do

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<v Speaker 3>feel like with the energy crunch that folks who are

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<v Speaker 3>looking to build out AI data centers or do AI

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<v Speaker 3>or a large language models that they're looking for tips

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<v Speaker 3>that are much more energy efficient, like how much will

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<v Speaker 3>that be driving kind of the chip trate come twenty

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<v Speaker 3>twenty six? Then who stands out in that or is

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<v Speaker 3>it kind of a moving target?

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<v Speaker 7>Well, it's a moving target in the sense that with

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<v Speaker 7>every new iteration, particularly within video, they say their chips

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<v Speaker 7>get you know, vastly more energy efficient, you can do

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<v Speaker 7>more with fewer of them. The problem is that for

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<v Speaker 7>the companies that want to use these chips is that

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<v Speaker 7>the prices are going down, right, the price these chips

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<v Speaker 7>is still sky high. I think what was an interesting

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<v Speaker 7>story this year was when Google announced it was going

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<v Speaker 7>to be working with Better Now. Their chips aren't quite

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<v Speaker 7>as versatile and videos GPUs, but Google's TPUs they call

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<v Speaker 7>them tensor processing units. They are specialized at doing what

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<v Speaker 7>the companies want right now, which is training AI models,

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<v Speaker 7>running AI models, and Google is saying, well, we can

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<v Speaker 7>do that more cheaply. And so for Google, which has

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<v Speaker 7>Google Cloud as it's obviously its cloud business, that's a

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<v Speaker 7>very attractive thing to companies that think, well we can't

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<v Speaker 7>quite get hold in video chips, let alone afford them.

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<v Speaker 7>So I think the efficiency question is an important one.

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<v Speaker 7>Availability is kind of also the side question.

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<v Speaker 8>Now.

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<v Speaker 3>I am like always shocked when I hear like Google

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<v Speaker 3>and their chips or Apple on the chips, and I

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<v Speaker 3>know this is something that's been happening over the years.

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<v Speaker 3>Are we going to see more of that where companies

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<v Speaker 3>are doing more of this in house? And why are

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<v Speaker 3>they because it's cheaper or what is it?

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<v Speaker 7>It's cheaper. I mean, Apple is an incredible case here

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<v Speaker 7>because when you use an Apple product of you using

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<v Speaker 7>your iPhone, you can throw something from your iPhone to

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<v Speaker 7>your MacBook. You don't even have to have to send it.

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<v Speaker 9>It just happens, right.

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<v Speaker 7>A lot of this is because of them having this

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<v Speaker 7>sort of vertical integration. They designed the chips, they designed

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<v Speaker 7>the hardware and the computers, they designed the software computers.

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<v Speaker 7>It all just works wonderfully. I sound like Steve Jobs

0:10:44.720 --> 0:10:47.439
<v Speaker 7>on stage trying to explain it, but he was right,

0:10:47.480 --> 0:10:48.840
<v Speaker 7>and that is what they achieved.

0:10:48.960 --> 0:10:49.760
<v Speaker 9>Now, if you're an AI.

0:10:49.800 --> 0:10:54.679
<v Speaker 7>Company, open aiy is perhaps the interesting case study here.

0:10:54.720 --> 0:10:57.640
<v Speaker 7>Open ai doesn't design its own chips. It desperately wants to.

0:10:58.000 --> 0:11:00.520
<v Speaker 7>It's entered into a deal with Broadcom to do just that.

0:11:00.760 --> 0:11:04.320
<v Speaker 7>But it's quite a way down the line. And when

0:11:04.320 --> 0:11:07.160
<v Speaker 7>you look at other companies like Google, just as I mentioned,

0:11:07.160 --> 0:11:10.319
<v Speaker 7>and Amazon as well, they're much further along in that process.

0:11:10.320 --> 0:11:12.520
<v Speaker 7>And what it means is they can specialize those chips

0:11:12.520 --> 0:11:14.880
<v Speaker 7>to do exactly what they want. And in Google's case,

0:11:14.920 --> 0:11:18.200
<v Speaker 7>they decided to specialize in AI training and AI inference.

0:11:18.240 --> 0:11:20.079
<v Speaker 7>That helped them do that quickly and do it. Do

0:11:20.160 --> 0:11:23.320
<v Speaker 7>that more efficiently. I think as time goes on with

0:11:23.360 --> 0:11:27.120
<v Speaker 7>the AI industry, having the same virtual integration that Apple

0:11:27.160 --> 0:11:29.840
<v Speaker 7>has enjoyed for consumer devices is going to be just

0:11:29.880 --> 0:11:30.439
<v Speaker 7>as valuable.

0:11:30.440 --> 0:11:32.920
<v Speaker 1>For Dave ab ask you. We were talking about bitcoin

0:11:32.960 --> 0:11:35.600
<v Speaker 1>for literally fifteen years before it took off. We've been

0:11:35.600 --> 0:11:38.600
<v Speaker 1>talking about self driving cars for ten years, and when

0:11:38.600 --> 0:11:40.599
<v Speaker 1>we actually get full self driving it's going to be

0:11:40.600 --> 0:11:43.200
<v Speaker 1>probably another five or more years. Is it going to

0:11:43.240 --> 0:11:45.160
<v Speaker 1>be that long before AI is really.

0:11:44.960 --> 0:11:45.760
<v Speaker 5>That useful to us?

0:11:46.120 --> 0:11:46.280
<v Speaker 9>You know?

0:11:46.440 --> 0:11:49.240
<v Speaker 7>It's funny and one of the things that's because we'll.

0:11:49.040 --> 0:11:51.760
<v Speaker 1>Need another narrative if so, I can't talk about it.

0:11:52.360 --> 0:11:54.120
<v Speaker 7>I think, I mean, isn't it interesting because because the

0:11:54.600 --> 0:11:58.200
<v Speaker 7>people and it's one of those stories that's broken containment.

0:11:58.200 --> 0:11:59.599
<v Speaker 7>I was on a flight a few days ago and

0:11:59.640 --> 0:12:01.720
<v Speaker 7>the people next to me we're talking about the AI bubble,

0:12:01.760 --> 0:12:04.040
<v Speaker 7>and I was hearing it everywhere people, you know, and

0:12:04.040 --> 0:12:05.880
<v Speaker 7>one of the things they say is will it be

0:12:05.920 --> 0:12:06.959
<v Speaker 7>like the dot com crash?

0:12:07.040 --> 0:12:07.160
<v Speaker 8>Right?

0:12:07.440 --> 0:12:09.240
<v Speaker 7>In many respects, it might be. And I think this

0:12:09.360 --> 0:12:11.640
<v Speaker 7>year we're going to see maybe some I p O

0:12:11.720 --> 0:12:13.400
<v Speaker 7>s from Opening Eye Onthropy. They're going to kind of

0:12:13.440 --> 0:12:16.160
<v Speaker 7>almost kick start that talk in a more intense way.

0:12:16.440 --> 0:12:19.199
<v Speaker 7>But then when when I think about the dot com crash,

0:12:19.440 --> 0:12:25.440
<v Speaker 7>the Internet will still revolutionary. So even though there we're

0:12:25.440 --> 0:12:28.440
<v Speaker 7>on it right this moment, so you know that both

0:12:28.480 --> 0:12:30.360
<v Speaker 7>things can be true. We can kind of have we

0:12:30.559 --> 0:12:32.959
<v Speaker 7>need the new narrative, but I also think AI has

0:12:33.000 --> 0:12:35.600
<v Speaker 7>this promise. Now what I what I when I think

0:12:35.600 --> 0:12:38.000
<v Speaker 7>of the dot com bust in particular, is you know,

0:12:38.040 --> 0:12:41.800
<v Speaker 7>it took Amazon years to recover from its crash price.

0:12:42.080 --> 0:12:44.040
<v Speaker 7>It took Cisco up until about a month ago to

0:12:44.280 --> 0:12:46.679
<v Speaker 7>come from its crash price. And I think we may

0:12:46.720 --> 0:12:49.200
<v Speaker 7>see some of the same patterns, but in terms of

0:12:49.240 --> 0:12:52.960
<v Speaker 7>how that shapes throughout this year, I mean, your guess

0:12:52.960 --> 0:12:53.840
<v Speaker 7>is as good as mine.

0:12:53.920 --> 0:12:56.240
<v Speaker 4>That was Bloomberg opinion columnist Dave lee Are Thanks to

0:12:56.320 --> 0:12:58.040
<v Speaker 4>Vini Guinn for joining there as well.

0:12:58.360 --> 0:13:01.040
<v Speaker 3>Coming up, The New York Times has the connector of

0:13:01.120 --> 0:13:03.920
<v Speaker 3>New York's powerful Well now she's part of New York

0:13:03.920 --> 0:13:06.600
<v Speaker 3>City Mayor Zoron Mamdani's transition team.

0:13:06.679 --> 0:13:09.800
<v Speaker 4>Kathy Wilde, outgoing president and CEO of the Partnership for

0:13:09.840 --> 0:13:13.400
<v Speaker 4>New York City, stops by. You're listening to Bloomberg BusinessWeek.

0:13:13.720 --> 0:13:14.720
<v Speaker 4>This is Bloomberg.

0:13:19.600 --> 0:13:23.600
<v Speaker 2>You're listening to the Bloomberg Business Weekdaily podcast. Catch us

0:13:23.679 --> 0:13:27.120
<v Speaker 2>live weekday afternoons from two to five pm Eastern. Listen

0:13:27.160 --> 0:13:30.720
<v Speaker 2>on Apple CarPlay and Android Auto with the Bloomberg Business app,

0:13:30.880 --> 0:13:32.680
<v Speaker 2>or watch us live on YouTube.

0:13:33.520 --> 0:13:36.280
<v Speaker 3>This past Thursday, New Year's Day marked a new political

0:13:36.360 --> 0:13:39.520
<v Speaker 3>chapter in New York City as Zoron Mamdannie was officially

0:13:39.559 --> 0:13:43.680
<v Speaker 3>inaugurated mayor, marking a significant political shift on the start

0:13:43.679 --> 0:13:45.920
<v Speaker 3>of a new governing era for the city. This was

0:13:45.920 --> 0:13:47.720
<v Speaker 3>an election the whole country was watching.

0:13:47.800 --> 0:13:49.520
<v Speaker 4>Yeah, and I think it's fair to say the country

0:13:49.559 --> 0:13:51.200
<v Speaker 4>is going to be watching the first few months of

0:13:51.280 --> 0:13:55.199
<v Speaker 4>this mayor in office. Bloomberg's reported about how some particularly

0:13:55.200 --> 0:13:57.680
<v Speaker 4>the wealthy, are concerned about some of the priorities for mayor.

0:13:57.720 --> 0:14:00.960
<v Speaker 4>Mom Donnie on that we caught up with someone NYC's

0:14:01.120 --> 0:14:02.120
<v Speaker 4>billionaire whisper.

0:14:02.200 --> 0:14:02.920
<v Speaker 10>Yeah, not so sure.

0:14:02.920 --> 0:14:05.240
<v Speaker 3>She loves the nickname, but people have put it out there.

0:14:07.440 --> 0:14:08.400
<v Speaker 4>Air he did.

0:14:08.720 --> 0:14:10.280
<v Speaker 3>Hey, we were talking about Kathy Wilde.

0:14:10.320 --> 0:14:12.120
<v Speaker 4>It wasn't the first time she's heard no.

0:14:12.040 --> 0:14:15.560
<v Speaker 3>Totally that you knew she She's heard it before. Kathy Wilde,

0:14:15.559 --> 0:14:17.760
<v Speaker 3>she is former President CE of the Partnership for New

0:14:17.840 --> 0:14:21.560
<v Speaker 3>York City. That group represents much of the City's corporate leadership.

0:14:21.600 --> 0:14:24.280
<v Speaker 3>It's a consortium of more than three hundred big companies,

0:14:24.640 --> 0:14:28.040
<v Speaker 3>including banks, law firms, private equity firms, and real estate developers.

0:14:28.200 --> 0:14:30.280
<v Speaker 3>Bloomberg LP, by the way, is a member of the

0:14:30.320 --> 0:14:33.320
<v Speaker 3>Partnership for New York City. Kathy Wilde just left the

0:14:33.360 --> 0:14:35.920
<v Speaker 3>Partnership and is now part of New York City Mayor

0:14:36.040 --> 0:14:40.320
<v Speaker 3>zoron Mumdani's transition team. She spoke with us in mid December.

0:14:40.440 --> 0:14:43.600
<v Speaker 3>Bloomberg New senior reporter Miles Miller also joined us. Why

0:14:43.600 --> 0:14:45.160
<v Speaker 3>did you want to be a part of the transition

0:14:45.240 --> 0:14:46.920
<v Speaker 3>team for the Mayor elect of New York City?

0:14:46.960 --> 0:14:49.200
<v Speaker 11>Well, I think to the point that Ken Griffin of

0:14:49.240 --> 0:14:52.320
<v Speaker 11>Citadel just made, and he's one of our members as well,

0:14:52.360 --> 0:14:56.080
<v Speaker 11>and is a great corporate citizen of New York and Miami.

0:14:57.320 --> 0:15:00.400
<v Speaker 11>He has he made the point about the concern yarns

0:15:00.440 --> 0:15:06.880
<v Speaker 11>about the high expectations that Mayor Elect Mamdani gave to

0:15:06.960 --> 0:15:10.800
<v Speaker 11>his voters, and he, to his credit, brought out one

0:15:10.840 --> 0:15:14.520
<v Speaker 11>hundred and seventy thousand new voters, mostly young people, in

0:15:14.560 --> 0:15:18.120
<v Speaker 11>the primary. The cutoff age for his voter his voter

0:15:18.520 --> 0:15:22.000
<v Speaker 11>support was forty five. So many of us are beyond

0:15:22.000 --> 0:15:25.440
<v Speaker 11>that point and looking around and saying, oh, dear, does

0:15:25.480 --> 0:15:27.360
<v Speaker 11>he have the seasoning to be able to do this?

0:15:27.960 --> 0:15:31.320
<v Speaker 11>And I think that he's got the energy and the intelligence,

0:15:31.560 --> 0:15:33.600
<v Speaker 11>and it's up to all of us who have a

0:15:33.600 --> 0:15:38.800
<v Speaker 11>little more seasoning and to be helpful. And so that's

0:15:38.840 --> 0:15:41.280
<v Speaker 11>why I joined the transition team and was happy to

0:15:41.360 --> 0:15:44.240
<v Speaker 11>do that, and then working on the economic development workforce

0:15:45.000 --> 0:15:50.320
<v Speaker 11>activities there, But in general, I think working with him

0:15:49.320 --> 0:15:55.000
<v Speaker 11>to capture the enthusiasm and the energy. We came out

0:15:55.040 --> 0:15:59.800
<v Speaker 11>of the pandemic very negative and we lost a million jobs,

0:16:00.040 --> 0:16:03.840
<v Speaker 11>and then concerns about the cuts from the federal government

0:16:04.120 --> 0:16:08.880
<v Speaker 11>on entitlement programs, whether it's Medicaid and health insurance, that

0:16:08.960 --> 0:16:13.000
<v Speaker 11>there's the fight going on now. This casts a real

0:16:13.040 --> 0:16:15.320
<v Speaker 11>paull over New York City, which is very dependent on

0:16:15.800 --> 0:16:16.560
<v Speaker 11>those funds.

0:16:17.200 --> 0:16:19.400
<v Speaker 10>So I think that what he's brought.

0:16:19.120 --> 0:16:22.680
<v Speaker 11>Is a positive energy and we ought to capitalize on

0:16:22.760 --> 0:16:25.360
<v Speaker 11>that and hopefully he'll be the best marketer this city

0:16:25.360 --> 0:16:26.040
<v Speaker 11>has ever had.

0:16:26.480 --> 0:16:27.240
<v Speaker 8>Your role on.

0:16:27.200 --> 0:16:30.800
<v Speaker 4>The transition team does it turn into a full time

0:16:30.920 --> 0:16:33.280
<v Speaker 4>job in the Mundani administration.

0:16:33.640 --> 0:16:35.880
<v Speaker 11>I am definitely not at my age looking for a

0:16:35.920 --> 0:16:36.680
<v Speaker 11>full time job.

0:16:36.920 --> 0:16:38.040
<v Speaker 10>I'm trying to get away from a.

0:16:38.040 --> 0:16:43.240
<v Speaker 4>Full time because you're outgoing as the president of the partnership.

0:16:43.360 --> 0:16:46.560
<v Speaker 11>I am outgoing and I do not plan to take

0:16:46.600 --> 0:16:49.680
<v Speaker 11>another job, but I do plan to help the new

0:16:49.800 --> 0:16:51.840
<v Speaker 11>mayor if he wants it.

0:16:51.920 --> 0:16:54.400
<v Speaker 4>So beyond the transition period, you would stay on as

0:16:54.400 --> 0:16:55.000
<v Speaker 4>an advisor.

0:16:55.400 --> 0:16:58.000
<v Speaker 10>Well, I don't know in what capacity.

0:16:58.040 --> 0:17:01.160
<v Speaker 11>As I say I'm there, I'm certainly going to help

0:17:01.200 --> 0:17:05.359
<v Speaker 11>Governor Hokeel deal with her challenges. Where I've worked closely

0:17:05.400 --> 0:17:08.440
<v Speaker 11>with her, She's done a great job, and I think

0:17:08.480 --> 0:17:12.480
<v Speaker 11>we're counting on her to continue to manage New York's

0:17:12.520 --> 0:17:15.760
<v Speaker 11>relationship with Washington and the relationship between the state and

0:17:15.840 --> 0:17:16.720
<v Speaker 11>the city, which.

0:17:16.520 --> 0:17:17.560
<v Speaker 10>Is very important.

0:17:18.000 --> 0:17:21.199
<v Speaker 11>Our affordability problems will not get solved by the city alone.

0:17:21.240 --> 0:17:24.880
<v Speaker 11>This is going to take federal, state, city cooperation, and

0:17:24.960 --> 0:17:27.560
<v Speaker 11>so I think all of us who are committed to

0:17:27.600 --> 0:17:29.800
<v Speaker 11>New York City in the future, we have to be

0:17:30.000 --> 0:17:32.280
<v Speaker 11>thinking of all three levels of government and how we

0:17:32.320 --> 0:17:34.760
<v Speaker 11>work with the leadership at all levels.

0:17:34.840 --> 0:17:38.200
<v Speaker 12>You brought mom Donnie to meet with business leaders on

0:17:38.240 --> 0:17:41.560
<v Speaker 12>several occasions. I wonder if you can talk about what

0:17:42.119 --> 0:17:43.679
<v Speaker 12>his demeanor is in these meetings.

0:17:43.760 --> 0:17:45.040
<v Speaker 9>Right I've talked to bilde.

0:17:44.840 --> 0:17:49.440
<v Speaker 12>Blasio about how he works a room, Holmum, Donnie works

0:17:49.440 --> 0:17:51.960
<v Speaker 12>a room and really gets the business community to be

0:17:52.080 --> 0:17:55.080
<v Speaker 12>comfortable around him, but also talk about some of these

0:17:55.080 --> 0:17:58.280
<v Speaker 12>policy proposals that business leaders wanted. Answers to, what are

0:17:58.359 --> 0:18:00.679
<v Speaker 12>the things that business leaders set to him? Well, that

0:18:00.760 --> 0:18:03.080
<v Speaker 12>sounds like a lofty thing that won't get done, or hey,

0:18:03.119 --> 0:18:06.120
<v Speaker 12>that sounds like something that is much more than we're

0:18:06.119 --> 0:18:07.080
<v Speaker 12>willing to back.

0:18:07.280 --> 0:18:10.720
<v Speaker 11>Well, there's been quite an evolution since he won the primary,

0:18:11.840 --> 0:18:16.240
<v Speaker 11>so in terms of his having a more nuanced position

0:18:16.320 --> 0:18:18.119
<v Speaker 11>on a lot of the policies. You know, during the

0:18:19.240 --> 0:18:23.520
<v Speaker 11>primary campaign there were whole slewer candidates and everything was

0:18:23.560 --> 0:18:26.920
<v Speaker 11>one liners and the social media stuff was one liners

0:18:27.040 --> 0:18:30.840
<v Speaker 11>or you know, show and tell. When you get into

0:18:30.960 --> 0:18:33.680
<v Speaker 11>conversation with CEOs, they want to hear data, they want

0:18:33.680 --> 0:18:37.080
<v Speaker 11>to hear facts. And I have watched him evolve and

0:18:37.200 --> 0:18:41.800
<v Speaker 11>grow over the last eight months where we had conversations

0:18:42.800 --> 0:18:46.360
<v Speaker 11>last week, one on housing, one on childcare, where he

0:18:46.520 --> 0:18:49.919
<v Speaker 11>was there with a pen and a notebook, taking notes,

0:18:50.080 --> 0:18:55.600
<v Speaker 11>asking questions and coming back with very substantive responses. So

0:18:55.640 --> 0:18:59.399
<v Speaker 11>he has absorbed a lot and is now digging deep

0:18:59.600 --> 0:19:05.640
<v Speaker 11>on these issues that you know, Ken Griffin expressed concern

0:19:05.720 --> 0:19:09.600
<v Speaker 11>about the fact that he made a lot, you know,

0:19:09.920 --> 0:19:13.800
<v Speaker 11>raised a lot of expectations, create a lot of idealistic

0:19:13.880 --> 0:19:17.919
<v Speaker 11>notions out housing and childcare and how we can do

0:19:17.960 --> 0:19:21.000
<v Speaker 11>all this for free. I think he's very quickly figuring

0:19:21.040 --> 0:19:26.000
<v Speaker 11>out none of this is free. Raising taxes creates real issues.

0:19:26.280 --> 0:19:28.920
<v Speaker 11>You may raise the rates of taxes, but that may

0:19:28.960 --> 0:19:31.960
<v Speaker 11>not result in more revenues if you scare people away,

0:19:32.320 --> 0:19:35.200
<v Speaker 11>or if you scare companies away, or as we've seen lately,

0:19:35.240 --> 0:19:37.920
<v Speaker 11>we've seen a real threat to jobs in New York

0:19:38.160 --> 0:19:42.200
<v Speaker 11>for the first time, the first time in my experience

0:19:42.359 --> 0:19:46.240
<v Speaker 11>over fifty years, are seeing a decline in the number

0:19:46.240 --> 0:19:49.560
<v Speaker 11>of jobs in our financial services industry. Scary thing. That's

0:19:49.600 --> 0:19:52.400
<v Speaker 11>forty percent of our state income tax revenues. We don't

0:19:52.760 --> 0:19:55.760
<v Speaker 11>I mean, these are you know, we've got to pay attention,

0:19:56.119 --> 0:19:58.919
<v Speaker 11>and I think he gets that. But we've got to

0:19:58.960 --> 0:20:03.280
<v Speaker 11>be at the table discussing these issues and helping figure

0:20:03.320 --> 0:20:07.320
<v Speaker 11>out how to employers help solve the childcare problem.

0:20:07.800 --> 0:20:09.919
<v Speaker 3>Kathy, you know, one of the things I think about,

0:20:10.000 --> 0:20:12.280
<v Speaker 3>and I remember, you know, being at Milken years ago

0:20:12.920 --> 0:20:16.719
<v Speaker 3>and talking with very wealthy investors who said, yeah, it's

0:20:16.720 --> 0:20:20.000
<v Speaker 3>about time we pay more taxes. So what is the balance?

0:20:20.080 --> 0:20:23.080
<v Speaker 3>And I am curious among those folks that you talk

0:20:23.160 --> 0:20:25.040
<v Speaker 3>to who are very wealthy, and a lot of times

0:20:25.040 --> 0:20:27.400
<v Speaker 3>their wealth is not an income, it's assets and it's

0:20:27.800 --> 0:20:31.800
<v Speaker 3>investment gained. What do they think, though, should be maybe

0:20:31.840 --> 0:20:35.200
<v Speaker 3>more of their contribution. And I know they often contribute

0:20:35.240 --> 0:20:39.440
<v Speaker 3>in philanthropy and so on. I know that, but I'm

0:20:39.480 --> 0:20:43.160
<v Speaker 3>just curious, what is the balance of willing to pay

0:20:43.200 --> 0:20:46.000
<v Speaker 3>more when again, I've had side conversations with folks are

0:20:46.760 --> 0:20:48.640
<v Speaker 3>surprised that they aren't pay more in taxes.

0:20:48.960 --> 0:20:53.720
<v Speaker 11>So what I've found and for somebody who's upper income

0:20:53.920 --> 0:20:57.199
<v Speaker 11>earned income in New York, which is the you know,

0:20:57.320 --> 0:21:02.000
<v Speaker 11>our biggest tax payers, we're paying fifty five percent of

0:21:02.000 --> 0:21:04.159
<v Speaker 11>our income to the federal, state and city government with

0:21:04.280 --> 0:21:07.200
<v Speaker 11>you all in so we're paying more more than half

0:21:07.280 --> 0:21:10.679
<v Speaker 11>my paycheck goes to the federal government. So it's not

0:21:10.800 --> 0:21:14.720
<v Speaker 11>like we're getting away with something. For the very wealthy

0:21:14.760 --> 0:21:17.040
<v Speaker 11>who are capital gains, et cetera. The big problem there

0:21:17.160 --> 0:21:20.280
<v Speaker 11>is if they move their legal residents out of New

0:21:20.359 --> 0:21:23.520
<v Speaker 11>York City, get we don't.

0:21:23.280 --> 0:21:24.880
<v Speaker 10>Share or get taxes.

0:21:25.040 --> 0:21:29.680
<v Speaker 11>They aren't taxed here on the basis of their global income,

0:21:30.040 --> 0:21:33.959
<v Speaker 11>and so we may get their a piece of their paycheck.

0:21:34.160 --> 0:21:38.000
<v Speaker 10>But not their wealth. And that's a big question. It is.

0:21:38.080 --> 0:21:43.600
<v Speaker 11>But what I found is over many years, when business

0:21:43.680 --> 0:21:47.560
<v Speaker 11>leaders and the big taxpayers are at the table and

0:21:47.600 --> 0:21:50.400
<v Speaker 11>they see that number one government is doing what they

0:21:50.440 --> 0:21:54.600
<v Speaker 11>can to figure out, how do we offer the most efficient,

0:21:54.720 --> 0:21:58.760
<v Speaker 11>the most effective services at the lowest cost possible. How

0:21:58.760 --> 0:22:01.280
<v Speaker 11>do we make government more fishient. On the one hand,

0:22:01.760 --> 0:22:04.520
<v Speaker 11>then so then you begin to narrow, So what's the

0:22:04.600 --> 0:22:07.800
<v Speaker 11>delta in terms of what what do we need to

0:22:07.880 --> 0:22:12.000
<v Speaker 11>raise revenues for. So for example, when Dick Ravage in

0:22:12.080 --> 0:22:15.480
<v Speaker 11>two thousand and seven, for Governor Patterson led the effort

0:22:15.720 --> 0:22:18.960
<v Speaker 11>to figure out how are we going to pay to

0:22:19.040 --> 0:22:23.639
<v Speaker 11>upgrade our subways which were falling apart, we supported, and

0:22:23.720 --> 0:22:28.440
<v Speaker 11>the business community supported, creating a payroll mobility tax where

0:22:28.480 --> 0:22:32.520
<v Speaker 11>a portion of payrolls of corporations employers who were in

0:22:32.560 --> 0:22:35.560
<v Speaker 11>the metropolitan region would go to that eighty two percent

0:22:35.600 --> 0:22:38.200
<v Speaker 11>of the employees who work for our companies based in

0:22:38.280 --> 0:22:41.639
<v Speaker 11>Manhattan take the public transit to get here. That was

0:22:41.680 --> 0:22:45.159
<v Speaker 11>something everybody signed off on. We supported. We supported an

0:22:45.200 --> 0:22:49.160
<v Speaker 11>increase in that tax twice. Same thing with congestion pricing,

0:22:49.680 --> 0:22:54.359
<v Speaker 11>we supported congestion pricing. Obviously a user fee where you

0:22:54.400 --> 0:22:56.600
<v Speaker 11>get something reduce congestion more time in.

0:22:56.600 --> 0:22:59.800
<v Speaker 10>Your day, is easier to sell. So it is.

0:23:00.600 --> 0:23:06.240
<v Speaker 11>And actually, when Mike Bloomberg was elected mayor right after

0:23:06.320 --> 0:23:08.920
<v Speaker 11>nine to eleven, the city had to raise real estate

0:23:08.960 --> 0:23:11.640
<v Speaker 11>taxes in order to rebuild and recover from the nine

0:23:11.640 --> 0:23:15.119
<v Speaker 11>to eleven shock. We supported that eighteen percent tax increase

0:23:15.160 --> 0:23:18.040
<v Speaker 11>in real estate taxes. So it's not that we're anti

0:23:18.280 --> 0:23:22.320
<v Speaker 11>all taxes. Is government doing what they can to keep

0:23:22.640 --> 0:23:26.000
<v Speaker 11>costs down, to be responsible in what they're spending. And

0:23:26.080 --> 0:23:28.840
<v Speaker 11>then what is the contribution and how do we make

0:23:28.880 --> 0:23:31.160
<v Speaker 11>it that makes the most sense, gets the most bang

0:23:31.240 --> 0:23:31.680
<v Speaker 11>for the buck.

0:23:31.920 --> 0:23:33.760
<v Speaker 4>Just very briefly, because you spent such a big part

0:23:33.760 --> 0:23:37.280
<v Speaker 4>of your career working on affordable housing, I'm wondering if

0:23:37.800 --> 0:23:41.640
<v Speaker 4>the mayor is sticking to freezing rent as his solution

0:23:41.840 --> 0:23:44.240
<v Speaker 4>for affordability, because not one person that we have spoken

0:23:44.280 --> 0:23:48.960
<v Speaker 4>to over the last few months thinks that not increasing

0:23:49.000 --> 0:23:52.040
<v Speaker 4>supply and rather freezing rent is the right way.

0:23:51.920 --> 0:23:53.879
<v Speaker 9>To approach the affordability crisis with housing.

0:23:54.560 --> 0:23:56.880
<v Speaker 11>Well, the new mayor is very well aware that those

0:23:56.920 --> 0:24:00.960
<v Speaker 11>are not mutually exclusive options and that if there's no

0:24:01.280 --> 0:24:05.400
<v Speaker 11>economic return, nobody's going to build housing. He's figured that out.

0:24:05.680 --> 0:24:11.080
<v Speaker 11>So he has He has said really since pre primary

0:24:11.560 --> 0:24:14.080
<v Speaker 11>that he understood the private sector had an important role

0:24:14.119 --> 0:24:16.200
<v Speaker 11>in the supply side, and he was going to work

0:24:16.240 --> 0:24:19.600
<v Speaker 11>on that. So I think that again, his view is

0:24:19.680 --> 0:24:22.440
<v Speaker 11>much more nuanced when he says now when he talks

0:24:22.480 --> 0:24:24.840
<v Speaker 11>about freezing the rent, he says, and one thing that'll

0:24:24.920 --> 0:24:27.040
<v Speaker 11>enable us to do that is if we do reduce

0:24:27.119 --> 0:24:30.240
<v Speaker 11>property taxes on rent stabilized regulated buildings.

0:24:30.600 --> 0:24:33.000
<v Speaker 10>So he gets it. He can add and subtract.

0:24:33.440 --> 0:24:34.680
<v Speaker 3>So can you come back?

0:24:35.400 --> 0:24:37.480
<v Speaker 4>I said, you said, we had an hour of an

0:24:37.520 --> 0:24:39.600
<v Speaker 4>hour hours worth of question barely scratched the.

0:24:39.560 --> 0:24:41.960
<v Speaker 3>Service, but we still appreciate Kathy. Thank you, Good luck,

0:24:42.359 --> 0:24:45.880
<v Speaker 3>Thank luck having Kathy Wilde, president and CEO at going

0:24:45.920 --> 0:24:47.919
<v Speaker 3>president and CEO of the Partnership for New York City,

0:24:48.080 --> 0:24:51.080
<v Speaker 3>part of the transition team of the New York City

0:24:51.160 --> 0:24:53.600
<v Speaker 3>mayor elect, and of course, our Bloomberg News senior reporter,

0:24:53.680 --> 0:24:54.359
<v Speaker 3>Miles Miller.

0:24:55.960 --> 0:24:59.760
<v Speaker 2>This is the Bloomberg Business Week Daily podcast. Listen live

0:25:00.000 --> 0:25:02.880
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:25:02.920 --> 0:25:05.720
<v Speaker 2>Play and the Android Auto. With the Bloomberg Business app.

0:25:05.800 --> 0:25:08.560
<v Speaker 2>You can also listen live on Amazon Alexa from our

0:25:08.600 --> 0:25:12.720
<v Speaker 2>flagship New York station, Just Say Alexa played Bloomberg eleven thirty.

0:25:13.680 --> 0:25:15.960
<v Speaker 3>It was billed as just another meme coin, a Trump

0:25:16.040 --> 0:25:18.800
<v Speaker 3>branded token based on hype in a political spectacle.

0:25:18.960 --> 0:25:20.720
<v Speaker 4>But the rise of the trump Coin tells a much

0:25:20.720 --> 0:25:24.520
<v Speaker 4>bigger story. A glitzy ballroom, anonymous wallets, lightning fast trades,

0:25:24.520 --> 0:25:27.159
<v Speaker 4>and then came the crash that caused hundreds of thousands

0:25:27.200 --> 0:25:30.960
<v Speaker 4>of people to lose money, except most notably the Trump

0:25:30.960 --> 0:25:31.840
<v Speaker 4>team that launched it.

0:25:32.040 --> 0:25:35.000
<v Speaker 3>Writing about it for Bloomberg Business Week, Zeke Fox and

0:25:35.080 --> 0:25:39.439
<v Speaker 3>Max Abelson. Zeke is Bloomberg News investigations reporter and author

0:25:39.480 --> 0:25:43.200
<v Speaker 3>of Number Go Up. Inside Crypto's Wild Rise and Staggering Fall.

0:25:43.760 --> 0:25:46.520
<v Speaker 3>Max Abelson is Bloomberg News Finance reporter.

0:25:47.000 --> 0:25:48.800
<v Speaker 4>We just got to start with some basics here before

0:25:48.800 --> 0:25:51.120
<v Speaker 4>we get into the shadowy web that spans like cafes

0:25:51.160 --> 0:25:55.119
<v Speaker 4>in New York City and Singapore, which you guys travel,

0:25:55.200 --> 0:25:59.080
<v Speaker 4>which you Zeke travel to Singapore. Memecoin been arount for

0:25:59.119 --> 0:26:02.720
<v Speaker 4>more than a decade. Started with the Doggie But what

0:26:02.800 --> 0:26:03.120
<v Speaker 4>are they?

0:26:03.560 --> 0:26:06.200
<v Speaker 13>Yeah, So the first one was doge Coin. It was

0:26:06.280 --> 0:26:08.840
<v Speaker 13>kind of intended as a joke, like a parody. This

0:26:08.920 --> 0:26:11.199
<v Speaker 13>guy he liked crypto and he was like, why are

0:26:11.240 --> 0:26:14.080
<v Speaker 13>people making these dumb cryptocurrencies. I'll make the dumbest one

0:26:14.080 --> 0:26:16.040
<v Speaker 13>I can think of, And then it kind of took off.

0:26:17.359 --> 0:26:20.240
<v Speaker 13>But in the last couple of years there's been this

0:26:20.400 --> 0:26:23.360
<v Speaker 13>huge boom in meme coins. It's kind of like this

0:26:23.440 --> 0:26:26.679
<v Speaker 13>trend where people just pick anything that's in the news,

0:26:27.080 --> 0:26:31.520
<v Speaker 13>say a little like six seven, like the joke the

0:26:31.600 --> 0:26:34.040
<v Speaker 13>kids like, they'll slap it on a coin. The coin

0:26:34.080 --> 0:26:38.160
<v Speaker 13>transparently doesn't do anything, but people just sort of gamble

0:26:38.240 --> 0:26:41.440
<v Speaker 13>on the idea of it attracting attention and other people

0:26:41.560 --> 0:26:43.840
<v Speaker 13>jumping in. They all sort of follow this pattern of

0:26:43.880 --> 0:26:46.920
<v Speaker 13>going up and then crashing, and you're these gamblers are

0:26:46.920 --> 0:26:47.919
<v Speaker 13>looking for the next one.

0:26:48.040 --> 0:26:52.440
<v Speaker 4>So Max, let's let's go back to January of this year,

0:26:52.560 --> 0:26:55.359
<v Speaker 4>just a few days before the president is inaugurated for

0:26:55.480 --> 0:26:56.560
<v Speaker 4>his second term.

0:26:56.960 --> 0:26:59.560
<v Speaker 14>What happens, Well, you know, there was so much going

0:26:59.600 --> 0:27:01.199
<v Speaker 14>on that week and that it's easy to forget, but

0:27:01.240 --> 0:27:03.399
<v Speaker 14>there was like an actual kind of crypto ball, and

0:27:03.640 --> 0:27:05.639
<v Speaker 14>that might not have been like a real official title,

0:27:05.640 --> 0:27:07.359
<v Speaker 14>but it was certainly this big crypto ball and it

0:27:07.359 --> 0:27:08.720
<v Speaker 14>costs a lot of money, and it was like, it

0:27:08.800 --> 0:27:11.480
<v Speaker 14>was like twenty five hundred bucks to get in, and

0:27:11.880 --> 0:27:14.040
<v Speaker 14>we spoke to people who are there. Actually, I think

0:27:14.040 --> 0:27:16.159
<v Speaker 14>maybe one of my favorite interviews this year was with

0:27:16.200 --> 0:27:19.600
<v Speaker 14>George Santos, the disgraced congressman. He was honestly a delight

0:27:19.640 --> 0:27:21.480
<v Speaker 14>to interview. I have to say, he was there. He

0:27:21.520 --> 0:27:23.639
<v Speaker 14>talked about how he skipped the line because he was like,

0:27:23.680 --> 0:27:27.520
<v Speaker 14>I'm George Santos, Like George Santos doesn't wait onlines, and he.

0:27:27.640 --> 0:27:29.160
<v Speaker 3>Tim kind of says that too occasionally.

0:27:29.480 --> 0:27:32.199
<v Speaker 14>You know what Tim Tim would, Yeah, we zeke and

0:27:32.240 --> 0:27:35.800
<v Speaker 14>I wait online. So they go into the Crypto ball

0:27:36.200 --> 0:27:38.200
<v Speaker 14>So it's a room full and this is the Melon

0:27:38.240 --> 0:27:41.080
<v Speaker 14>Auditorium in Washington by the Washington Mall. Is if it

0:27:41.160 --> 0:27:42.879
<v Speaker 14>is a fancy space and it's a room full of

0:27:42.880 --> 0:27:46.760
<v Speaker 14>of course, you know, crypto people, crypto investors, crypto executives, influencers,

0:27:47.320 --> 0:27:50.040
<v Speaker 14>and phones start going off. At one point I think

0:27:50.040 --> 0:27:52.639
<v Speaker 14>it's just before Snoop Dogg is about to perform, I believe,

0:27:53.280 --> 0:27:57.040
<v Speaker 14>and they find out that Donald Trump has launched a

0:27:57.040 --> 0:27:59.000
<v Speaker 14>mean coin. And I think one of the first thoughts

0:27:59.040 --> 0:28:01.879
<v Speaker 14>on people's minds was like, this can't be real. And

0:28:01.960 --> 0:28:04.800
<v Speaker 14>the thing is it was real. And one thing that

0:28:04.880 --> 0:28:06.919
<v Speaker 14>I just loved about working with Zeke is that he

0:28:07.080 --> 0:28:11.440
<v Speaker 14>explains in our Business Week story sort of the shades

0:28:11.480 --> 0:28:14.640
<v Speaker 14>of realness. On the one hand, it really was true,

0:28:14.760 --> 0:28:17.920
<v Speaker 14>Donald Trump really did launch a meme coin, right as

0:28:17.920 --> 0:28:19.679
<v Speaker 14>he was on the edge of becoming, you know, the

0:28:19.720 --> 0:28:22.600
<v Speaker 14>most important person in the entire universe. But on the

0:28:22.640 --> 0:28:25.919
<v Speaker 14>other hand, it's it's lacking in a certain kind of

0:28:25.960 --> 0:28:29.359
<v Speaker 14>realness as we usually think about assets, A meme coin

0:28:29.520 --> 0:28:32.800
<v Speaker 14>has a certain kind of like existential nothingness, you know,

0:28:32.880 --> 0:28:35.359
<v Speaker 14>it's it's sort of it's it's vacant by design. It

0:28:35.400 --> 0:28:40.440
<v Speaker 14>doesn't give you rights to future profits. It basically represents

0:28:40.480 --> 0:28:44.800
<v Speaker 14>nothing but itself. And it's investigators, excuse me, it's investors,

0:28:44.640 --> 0:28:48.760
<v Speaker 14>as Zeke and I wrote, are basically investing in sort

0:28:48.800 --> 0:28:52.000
<v Speaker 14>of nothing but speculation. It's speculating in speculation itself, as

0:28:52.040 --> 0:28:53.480
<v Speaker 14>I believe this man said.

0:28:53.560 --> 0:28:56.360
<v Speaker 3>And because of that, nobody makes money. Right, So it's

0:28:56.440 --> 0:28:58.360
<v Speaker 3>kind of like sarcasm.

0:28:58.840 --> 0:29:00.520
<v Speaker 13>I mean, it's kind of like a it's a zero

0:29:00.560 --> 0:29:02.560
<v Speaker 13>sum game, right, Like some people are going to get

0:29:02.560 --> 0:29:05.200
<v Speaker 13>in early and make money. Other people are going to

0:29:05.280 --> 0:29:07.720
<v Speaker 13>get in late. They're going to be left holding the bag,

0:29:08.080 --> 0:29:11.280
<v Speaker 13>except that whoever created the coin, their goal is obviously

0:29:11.880 --> 0:29:14.880
<v Speaker 13>to get paid, and they're going to suck out a

0:29:14.920 --> 0:29:17.720
<v Speaker 13>lot of like the total amount that's been gambled on

0:29:17.760 --> 0:29:18.240
<v Speaker 13>this coin.

0:29:18.520 --> 0:29:20.440
<v Speaker 4>You guys write a little bit about pump and dump

0:29:20.440 --> 0:29:23.320
<v Speaker 4>schemes like Wolf of Wall Street boiler room style in

0:29:23.400 --> 0:29:27.000
<v Speaker 4>the piece, and you draw distinction between what's happening with

0:29:27.120 --> 0:29:30.920
<v Speaker 4>meme coins from a regulatory perspective versus what would happen

0:29:30.960 --> 0:29:32.920
<v Speaker 4>with a traditional stock penny stock.

0:29:33.000 --> 0:29:34.440
<v Speaker 8>Talk about that a little bit, Zeke.

0:29:34.440 --> 0:29:38.240
<v Speaker 13>Yeah, I mean, if you think about what was happening

0:29:38.280 --> 0:29:41.200
<v Speaker 13>at Stratton Oakmont, like the boiler room depicted in the

0:29:41.200 --> 0:29:43.560
<v Speaker 13>Wolf of Wall Street. You've got all these salesmen who

0:29:43.560 --> 0:29:46.040
<v Speaker 13>are on the phone calling you know, retired dentists and

0:29:46.080 --> 0:29:47.640
<v Speaker 13>being like, you got to get in on this hot

0:29:47.680 --> 0:29:51.840
<v Speaker 13>new gold mine stock, and this would drive the stock up.

0:29:52.040 --> 0:29:55.440
<v Speaker 13>And then eventually whoever had like created this promotion would

0:29:55.960 --> 0:29:58.640
<v Speaker 13>secretly have holdings of it they dump, the stock would

0:29:58.640 --> 0:30:02.120
<v Speaker 13>go back down, but the sale, the people who bought

0:30:02.120 --> 0:30:04.280
<v Speaker 13>these stocks were had to be tricked. You had to

0:30:04.320 --> 0:30:06.240
<v Speaker 13>convince them like this was a pretty cool gold mine

0:30:06.240 --> 0:30:09.080
<v Speaker 13>that should invest in with meme coins. The people who

0:30:09.120 --> 0:30:12.040
<v Speaker 13>are gambling on them. Basically know the drill, and they

0:30:12.080 --> 0:30:15.680
<v Speaker 13>know that whoever creates the coin is going to want

0:30:15.680 --> 0:30:18.320
<v Speaker 13>to dump once it gets going, and that they are

0:30:18.720 --> 0:30:20.520
<v Speaker 13>like seeking out this pump and dump game.

0:30:20.640 --> 0:30:23.360
<v Speaker 4>Then the SEC does not look favorably on the equity,

0:30:23.560 --> 0:30:26.760
<v Speaker 4>the stock side of this, But what about the meme

0:30:26.760 --> 0:30:27.360
<v Speaker 4>coin side of this?

0:30:27.480 --> 0:30:30.760
<v Speaker 13>So the meme coins were in a pretty like gray area.

0:30:30.960 --> 0:30:32.400
<v Speaker 13>No one really knew what to make of it. There

0:30:32.400 --> 0:30:36.120
<v Speaker 13>hadn't regulators, hadn't really taken any action. It'd been weird

0:30:36.200 --> 0:30:39.240
<v Speaker 13>enough that most of the better celebrities had stayed away

0:30:39.400 --> 0:30:43.520
<v Speaker 13>before Trump. The most famous was probably Caitlyn Jenner, but.

0:30:43.840 --> 0:30:45.680
<v Speaker 3>I forgot about that one.

0:30:46.000 --> 0:30:50.120
<v Speaker 13>Three weeks after Trump's inauguration, after he had created his

0:30:50.160 --> 0:30:54.120
<v Speaker 13>own meme coin, the Trump administration's Securities and Exchange Commission

0:30:54.120 --> 0:30:56.640
<v Speaker 13>came out and said, Hey, you know what, these meme coins.

0:30:57.120 --> 0:31:01.400
<v Speaker 13>They're fine, not securities, not our business. That wouldn't stop

0:31:01.440 --> 0:31:03.920
<v Speaker 13>maybe someone else from regulating them, but no one has

0:31:03.960 --> 0:31:05.120
<v Speaker 13>stepped up at this point.

0:31:05.200 --> 0:31:07.280
<v Speaker 3>So let's talk about the money. This is an administration.

0:31:07.400 --> 0:31:10.200
<v Speaker 3>We talk about it being transactional. We talk about some

0:31:10.320 --> 0:31:12.920
<v Speaker 3>say grift going on, and so on and so forth.

0:31:12.960 --> 0:31:13.920
<v Speaker 10>There's a lot that goes back.

0:31:13.840 --> 0:31:17.440
<v Speaker 3>And forth, but this is made right the president and

0:31:17.560 --> 0:31:21.480
<v Speaker 3>his family some real money, hundreds of millions of dollars.

0:31:21.560 --> 0:31:21.680
<v Speaker 15>Yea.

0:31:21.720 --> 0:31:26.600
<v Speaker 13>Yeah, so Trump made about three hundred million from launching

0:31:26.600 --> 0:31:29.880
<v Speaker 13>his meme coin, according to estimates from crypto tracing firms,

0:31:29.920 --> 0:31:33.200
<v Speaker 13>and then that same weekend, Mulania launched her own meme

0:31:33.280 --> 0:31:38.520
<v Speaker 13>coin and likely create collected another forty or fifty million.

0:31:40.040 --> 0:31:42.160
<v Speaker 13>I mean, this is like the easiest money they've ever

0:31:42.200 --> 0:31:44.160
<v Speaker 13>made for like a couple tweets.

0:31:44.200 --> 0:31:48.520
<v Speaker 4>And now those of the as we mentioned, those cryptocurrencies

0:31:48.520 --> 0:31:50.920
<v Speaker 4>have plummeted more than ninety percent from their peak. So Max,

0:31:51.000 --> 0:31:53.440
<v Speaker 4>let's get into a little bit of the shadowy global

0:31:53.440 --> 0:31:56.800
<v Speaker 4>network that helped the president make these meme coins. Were

0:31:57.240 --> 0:32:00.400
<v Speaker 4>we look at the blockchain as this entity that kind

0:32:00.400 --> 0:32:03.000
<v Speaker 4>of allows us to see who does what, But it

0:32:03.080 --> 0:32:05.480
<v Speaker 4>was kind of a challenge to get to the bottom

0:32:05.520 --> 0:32:07.680
<v Speaker 4>of who actually helped the president. Who are some of

0:32:07.720 --> 0:32:09.680
<v Speaker 4>the characters that you and Zeke found.

0:32:09.800 --> 0:32:11.960
<v Speaker 14>Yeah, honestly, it would be so much cooler if we

0:32:11.960 --> 0:32:13.520
<v Speaker 14>could sit here and look at you and be like,

0:32:13.560 --> 0:32:17.440
<v Speaker 14>we honestly did crack this, and there's like no mystery

0:32:17.520 --> 0:32:19.360
<v Speaker 14>left and we can explain it all. The truth is,

0:32:19.960 --> 0:32:22.000
<v Speaker 14>I cannot look you in the eye and say that

0:32:22.880 --> 0:32:24.360
<v Speaker 14>in good faith does.

0:32:24.200 --> 0:32:26.120
<v Speaker 4>Not mean you did not meet some people along the way.

0:32:26.320 --> 0:32:26.760
<v Speaker 16>We did.

0:32:26.880 --> 0:32:28.680
<v Speaker 14>It's all about the friends you make along the way.

0:32:29.560 --> 0:32:32.120
<v Speaker 14>That's why we get to journalism. And you know, I

0:32:32.160 --> 0:32:35.160
<v Speaker 14>have to say for viewers who haven't ready yet, you know,

0:32:35.240 --> 0:32:37.120
<v Speaker 14>my co writer on this story wrote a book called

0:32:37.160 --> 0:32:39.440
<v Speaker 14>Number Go Up that I mean, it's certainly the funniest

0:32:39.480 --> 0:32:43.560
<v Speaker 14>and probably realistically the best book about the crypto industry

0:32:43.760 --> 0:32:47.440
<v Speaker 14>that exists. And so I felt a little bit by comparison,

0:32:47.600 --> 0:32:49.200
<v Speaker 14>kind of like a babe in the woods as we

0:32:49.240 --> 0:32:51.880
<v Speaker 14>started this, because I was working with someone who really

0:32:51.960 --> 0:32:54.800
<v Speaker 14>really understands how this works. But he was very generous

0:32:54.800 --> 0:32:55.880
<v Speaker 14>with me, and we kind of took it a step

0:32:55.880 --> 0:32:57.400
<v Speaker 14>by the time, a step at a time. I think

0:32:57.400 --> 0:33:01.440
<v Speaker 14>the first thing we did is to meet someone who

0:33:01.480 --> 0:33:03.240
<v Speaker 14>you'd really want to stop it and talk to you

0:33:03.280 --> 0:33:05.840
<v Speaker 14>if you're trying to understand meme coins, and that is

0:33:05.960 --> 0:33:08.920
<v Speaker 14>one of the creators of something called pump Fun And

0:33:09.000 --> 0:33:11.760
<v Speaker 14>this young man and his name is Alon Colin.

0:33:11.880 --> 0:33:13.080
<v Speaker 17>I mean, I'm in my forties.

0:33:13.120 --> 0:33:15.680
<v Speaker 14>I believe Allen was like twenty one when we met

0:33:15.760 --> 0:33:21.560
<v Speaker 14>him maybe twenty twenty two. He is part of this

0:33:21.600 --> 0:33:25.520
<v Speaker 14>small group that has launched this marketplace for meme coins

0:33:25.520 --> 0:33:28.160
<v Speaker 14>where if you want, like right now, you could go

0:33:28.200 --> 0:33:31.880
<v Speaker 14>and start the Carol coin and you could do it

0:33:31.920 --> 0:33:32.840
<v Speaker 14>with how long.

0:33:32.680 --> 0:33:34.400
<v Speaker 16>Would it take a few minutes.

0:33:34.200 --> 0:33:35.280
<v Speaker 8>Like ten seconds.

0:33:35.480 --> 0:33:37.520
<v Speaker 17>And it's this.

0:33:37.640 --> 0:33:44.560
<v Speaker 14>Remarkable, slightly gross, certainly immature marketplace because the whole idea

0:33:44.920 --> 0:33:46.479
<v Speaker 14>that I think if you were here, he would say

0:33:46.520 --> 0:33:49.240
<v Speaker 14>that the grossness is it's not a bug. It's a

0:33:49.280 --> 0:33:52.000
<v Speaker 14>feature that people get to do whatever they want, and

0:33:52.800 --> 0:33:57.840
<v Speaker 14>that whatever people find funny, whatever grabs people attention, it

0:33:57.880 --> 0:34:00.800
<v Speaker 14>can be commodified and it can be sold. Now, to

0:34:00.840 --> 0:34:04.160
<v Speaker 14>be fair, that is not where the Trump point launched.

0:34:04.240 --> 0:34:06.600
<v Speaker 14>So after we sort of understood pump on, then we

0:34:06.680 --> 0:34:08.360
<v Speaker 14>had to go sort of make a slight pivot.

0:34:08.480 --> 0:34:11.399
<v Speaker 13>Yeah, so we got nobody. Last you said, nobody took

0:34:11.440 --> 0:34:13.840
<v Speaker 13>responsibility for helping the Trumps. Was just a little weird.

0:34:14.160 --> 0:34:18.760
<v Speaker 13>But a clue emerged a few weeks later when another

0:34:19.280 --> 0:34:23.320
<v Speaker 13>president launched a meme coin. This was Javier Marlay, the

0:34:23.360 --> 0:34:24.880
<v Speaker 13>president of Argentina.

0:34:24.520 --> 0:34:25.560
<v Speaker 8>Of Chainsaw fame.

0:34:25.719 --> 0:34:30.359
<v Speaker 13>Yeah, and it's kind of weird in meme coins everyone, So,

0:34:30.400 --> 0:34:32.160
<v Speaker 13>like I said, everyone knows the drill, but still they

0:34:32.160 --> 0:34:32.760
<v Speaker 13>have their own.

0:34:32.640 --> 0:34:33.400
<v Speaker 8>Code of ethics.

0:34:33.400 --> 0:34:37.440
<v Speaker 13>And the Malay coin really set people off because it crashed.

0:34:37.800 --> 0:34:40.160
<v Speaker 13>Instead of waiting like a couple of days to crash,

0:34:40.239 --> 0:34:43.640
<v Speaker 13>it crashed within hours and Malay, who had promoted it

0:34:43.640 --> 0:34:45.799
<v Speaker 13>with a tweet, deleted his tweet, which was just not

0:34:46.200 --> 0:34:50.560
<v Speaker 13>seen as fair play. And after this Malay coin debacle,

0:34:51.280 --> 0:34:56.480
<v Speaker 13>this previously unknown crypto bro named Hayden Davis came forward.

0:34:57.440 --> 0:34:59.880
<v Speaker 13>He's twenty eight years old, he'd kind he'd been in

0:35:00.000 --> 0:35:04.160
<v Speaker 13>involved in NFTs, he'd sort of but was not like

0:35:04.200 --> 0:35:07.160
<v Speaker 13>a well known guy. And he said, I am Javier

0:35:07.239 --> 0:35:10.400
<v Speaker 13>Malay's advisor. We were creating this coin for the people

0:35:10.440 --> 0:35:14.000
<v Speaker 13>of Argentina. And then he gave a series of uh

0:35:14.160 --> 0:35:18.399
<v Speaker 13>increasingly ill advised interviews in which he talked about how

0:35:18.640 --> 0:35:22.800
<v Speaker 13>meme coins are rigged, how they're sort of insider trading

0:35:22.840 --> 0:35:25.400
<v Speaker 13>of a sort within meme coins, and then he said

0:35:25.480 --> 0:35:30.240
<v Speaker 13>that he had helped uh Milania Trump with with her coin.

0:35:30.880 --> 0:35:32.120
<v Speaker 8>And you know, I.

0:35:32.040 --> 0:35:34.400
<v Speaker 13>Thought to myself, like, could the could this be? Is

0:35:34.400 --> 0:35:36.799
<v Speaker 13>this really? Is this really true? How did and how

0:35:36.800 --> 0:35:41.640
<v Speaker 13>did he connect with Milania? And it turned out that

0:35:42.840 --> 0:35:47.759
<v Speaker 13>luckily for us, he had been quite a boastful guy

0:35:47.800 --> 0:35:50.360
<v Speaker 13>who loved to text like crazy stuff to his friends,

0:35:50.640 --> 0:35:53.759
<v Speaker 13>and we were able to review some messages that he'd

0:35:53.800 --> 0:35:58.080
<v Speaker 13>sent to associates where he clearly did know that Milania's

0:35:58.120 --> 0:36:03.640
<v Speaker 13>coin was coming, like suggesting this was true, and where

0:36:03.680 --> 0:36:06.279
<v Speaker 13>he even hinted that maybe he'd been involved in Trump's coin.

0:36:06.560 --> 0:36:09.560
<v Speaker 4>We got to leave it there, guys, Zeke Max, check

0:36:09.560 --> 0:36:11.920
<v Speaker 4>out the story. It's the Bloomberg A big take. You

0:36:11.920 --> 0:36:14.120
<v Speaker 4>can find it at the Bloomberg terminal. We just scratched

0:36:14.160 --> 0:36:14.600
<v Speaker 4>the service.

0:36:14.719 --> 0:36:15.680
<v Speaker 3>We know you want more.

0:36:15.920 --> 0:36:16.759
<v Speaker 9>This is Bloomberg.

0:36:21.600 --> 0:36:25.399
<v Speaker 2>You're listening to the Bloomberg Business Week Daily Podcast. Catch

0:36:25.480 --> 0:36:28.720
<v Speaker 2>us live weekday afternoons from two to five pm Eastern.

0:36:28.840 --> 0:36:31.920
<v Speaker 2>Listen on Apple CarPlay and Android Auto with the Bloomberg

0:36:31.960 --> 0:36:34.799
<v Speaker 2>Business app, or watch us live on YouTube.

0:36:35.440 --> 0:36:37.560
<v Speaker 3>Let me a hend our second hour of our first

0:36:37.600 --> 0:36:41.040
<v Speaker 3>weekend edition of Bloomberg Business Week of twenty twenty six.

0:36:41.440 --> 0:36:43.800
<v Speaker 3>It's an hour dedicated to something we like to feature

0:36:43.840 --> 0:36:46.600
<v Speaker 3>from time to time here on Bloomberg Business Week. And

0:36:46.640 --> 0:36:49.200
<v Speaker 3>we were talking about the wine and spirits industry, from

0:36:49.239 --> 0:36:52.040
<v Speaker 3>market trends to the story behind the label. And yeah,

0:36:52.080 --> 0:36:53.720
<v Speaker 3>sometimes we do a little sampling.

0:36:53.680 --> 0:36:56.240
<v Speaker 4>This hour, the perfect wine pairing for your next dinner

0:36:56.239 --> 0:36:59.240
<v Speaker 4>party with the CEO of Duckhorn tapping into a mega

0:36:59.280 --> 0:37:03.680
<v Speaker 4>wine experiences in Uruguay and regenerative farming techniques in wine

0:37:03.680 --> 0:37:06.080
<v Speaker 4>making with the CEO of Maison.

0:37:05.760 --> 0:37:08.960
<v Speaker 3>Mirabau, plus the business of bourbon with the retired Kernel

0:37:09.000 --> 0:37:13.200
<v Speaker 3>behind Lofted Spirits first up this hour. It's not been

0:37:13.239 --> 0:37:15.000
<v Speaker 3>an easy year though for those in the business of

0:37:15.040 --> 0:37:19.760
<v Speaker 3>selling alcohol, thanks to a consumer pullback, changing tastes and trends,

0:37:19.840 --> 0:37:24.080
<v Speaker 3>high costs, supply chain disruptions, and of yes, tariff uncertainty.

0:37:24.280 --> 0:37:27.080
<v Speaker 4>What used to sell itself now needs a sharper story

0:37:27.320 --> 0:37:30.320
<v Speaker 4>and an even sharper strategy. Robert Hanson is CEO of

0:37:30.400 --> 0:37:33.839
<v Speaker 4>the Duckhorn Portfolio. It's a premium American wine company known

0:37:33.840 --> 0:37:37.320
<v Speaker 4>for high end Napa Valley Coastal California wines. He discussed

0:37:37.320 --> 0:37:39.960
<v Speaker 4>his strategy along with a wine tasting with a fun

0:37:40.000 --> 0:37:44.520
<v Speaker 4>trio Bloomberg's Alexis, Christopherus, Christina Quino, and Bailey Lipschultz, who

0:37:44.560 --> 0:37:46.000
<v Speaker 4>filled in for us while we were.

0:37:45.840 --> 0:37:50.600
<v Speaker 18>Out Just for context. So Dughorn Portfolio is the twentieth

0:37:50.680 --> 0:37:53.839
<v Speaker 18>largest wine marketer in the US by volume two point

0:37:53.920 --> 0:37:58.120
<v Speaker 18>eight million cases this year, so not a small place.

0:37:58.120 --> 0:38:00.440
<v Speaker 18>And you know, you know some of their brands, Yards,

0:38:00.480 --> 0:38:04.359
<v Speaker 18>Golden Eye, Paradox, Migration. Oh, you're pouring wine for us.

0:38:04.400 --> 0:38:07.600
<v Speaker 18>Now what are we what are we having?

0:38:07.600 --> 0:38:08.840
<v Speaker 5>Baileies normally in equities.

0:38:10.760 --> 0:38:14.399
<v Speaker 19>Yeah, So this is the Decoy Featherweight caps off twenty

0:38:14.480 --> 0:38:17.400
<v Speaker 19>twenty three. Low Caw we were talking about it in

0:38:17.440 --> 0:38:20.160
<v Speaker 19>the green room, so low Caw low alc. Kind of

0:38:20.160 --> 0:38:21.480
<v Speaker 19>catering to the younger generation.

0:38:21.680 --> 0:38:24.360
<v Speaker 20>Sure, first, thanks for having me, you know, excited to

0:38:24.360 --> 0:38:26.239
<v Speaker 20>be here on your Netflix and.

0:38:26.280 --> 0:38:27.560
<v Speaker 8>Chill day, I guess.

0:38:28.280 --> 0:38:28.520
<v Speaker 9>Yeah.

0:38:28.560 --> 0:38:30.560
<v Speaker 8>We're we're going to taste first.

0:38:30.560 --> 0:38:33.800
<v Speaker 20>As we talk, We're going to taste the Decoy Featherweight

0:38:33.840 --> 0:38:39.239
<v Speaker 20>Cabernet Sevignon. It's the recent launch, most recent innovation in

0:38:39.280 --> 0:38:42.480
<v Speaker 20>our Decoy Featherweight offering, which is the largest and fastest

0:38:42.520 --> 0:38:47.640
<v Speaker 20>growing low lower alcohol, lower calorie offering within the wine category.

0:38:47.680 --> 0:38:51.160
<v Speaker 20>The cabernet is really unique. It's about nine percent alcohol,

0:38:51.160 --> 0:38:54.160
<v Speaker 20>about eighty calories per serving. That's about a third less

0:38:54.160 --> 0:38:57.520
<v Speaker 20>alcohol than a typical cabernet and about fifty percent of calories.

0:38:57.880 --> 0:39:01.560
<v Speaker 20>It's tough to achieve a great tasting cabernet. Somnil that's

0:39:01.560 --> 0:39:03.560
<v Speaker 20>low Alcan locale. So give it a taste and tell

0:39:03.640 --> 0:39:04.120
<v Speaker 20>us what you think.

0:39:05.680 --> 0:39:08.600
<v Speaker 18>It's delicious and you know what, I don't need to

0:39:08.800 --> 0:39:12.080
<v Speaker 18>necessarily have it with food. It's just like good straight

0:39:12.120 --> 0:39:12.719
<v Speaker 18>up on its own.

0:39:12.840 --> 0:39:15.879
<v Speaker 20>Yeah, it's it's addressing. You know, there's a lot that's

0:39:15.880 --> 0:39:19.440
<v Speaker 20>been reported about the dislocation of the wine market. You know,

0:39:19.560 --> 0:39:22.000
<v Speaker 20>we're excited about what we've achieved this year. We're excited

0:39:22.040 --> 0:39:24.680
<v Speaker 20>about twenty twenty six. Twenty twenty six is the fiftieth

0:39:24.719 --> 0:39:27.840
<v Speaker 20>anniversary of the founding of the company. Dan and Margaret

0:39:27.960 --> 0:39:30.480
<v Speaker 20>Duckhorn founded the company fifty years ago on Murlau, which

0:39:30.480 --> 0:39:32.840
<v Speaker 20>we're going to taste as well at the different a

0:39:32.840 --> 0:39:34.800
<v Speaker 20>different end of the market that when we just tasted

0:39:34.800 --> 0:39:37.879
<v Speaker 20>about twenty five dollars a bottle, the Murleau will taste

0:39:37.960 --> 0:39:41.160
<v Speaker 20>is one of our high end luxury estate Murlau's. But

0:39:41.400 --> 0:39:44.600
<v Speaker 20>we're excited about what's happening. This wine we just tasted

0:39:44.680 --> 0:39:48.000
<v Speaker 20>is leaning into one of the trends that's impacting, especially

0:39:48.080 --> 0:39:51.239
<v Speaker 20>younger consumers consumption in the category. All younger consumers are

0:39:51.239 --> 0:39:55.080
<v Speaker 20>looking for value. Pricing matters a lot they're looking for.

0:39:55.560 --> 0:39:57.919
<v Speaker 20>They're very conscious about consuming things that are better for them,

0:39:58.080 --> 0:40:01.480
<v Speaker 20>so having a better mint, introduction and innovation in the.

0:40:01.480 --> 0:40:02.440
<v Speaker 8>Category is important.

0:40:04.000 --> 0:40:06.479
<v Speaker 20>We're about to celebrate the first year anniversary of taking

0:40:06.520 --> 0:40:10.360
<v Speaker 20>the company private with Duckcorn, with Butterfly Equity our sponsor.

0:40:10.480 --> 0:40:13.879
<v Speaker 20>They only invest in food and beverage. They understand craftsmanship.

0:40:13.920 --> 0:40:15.359
<v Speaker 20>You know, if you're going to put it across your lips,

0:40:15.400 --> 0:40:18.240
<v Speaker 20>it's got a taste yummy. And we've got a strategy

0:40:18.280 --> 0:40:22.040
<v Speaker 20>of competing in the best neighborhood, the best street in

0:40:22.040 --> 0:40:23.600
<v Speaker 20>the neighborhood, in the best house on the street.

0:40:23.719 --> 0:40:26.239
<v Speaker 18>So that was about a year ago that they came in.

0:40:26.400 --> 0:40:29.000
<v Speaker 18>So and this company has been has been public, has

0:40:29.000 --> 0:40:30.960
<v Speaker 18>been taken private a couple of times, a few times.

0:40:31.400 --> 0:40:33.520
<v Speaker 18>What changes have happened? I mean you actually started with

0:40:33.560 --> 0:40:36.840
<v Speaker 18>the company earlier this year February, so, but what changes

0:40:36.920 --> 0:40:39.719
<v Speaker 18>have been made now that this private equity company has

0:40:39.719 --> 0:40:41.080
<v Speaker 18>come in and just sees this past year.

0:40:41.200 --> 0:40:43.760
<v Speaker 20>Yeah, well, look, we for the reasons I just explained,

0:40:43.760 --> 0:40:46.759
<v Speaker 20>we think Butterfly Equity is a great sponsor, a great

0:40:46.760 --> 0:40:49.080
<v Speaker 20>partner for us. What I would say is one of

0:40:49.120 --> 0:40:51.279
<v Speaker 20>the superpowers of the company I respected when I first

0:40:51.280 --> 0:40:53.880
<v Speaker 20>got to know it is the agility, the ability to

0:40:53.920 --> 0:40:57.120
<v Speaker 20>innovate at the pace of the consumer marketplace, and the

0:40:57.160 --> 0:40:59.520
<v Speaker 20>market is demanding, and consumers expect you to meet them

0:40:59.560 --> 0:41:02.360
<v Speaker 20>on their place field, on their terms. That's how Butterfly

0:41:02.480 --> 0:41:07.040
<v Speaker 20>thinks what's changed. I would say the agility is the

0:41:07.080 --> 0:41:09.839
<v Speaker 20>pace of the agility of the company has picked up.

0:41:10.120 --> 0:41:13.160
<v Speaker 20>We've made some significant progress in a very short period

0:41:13.160 --> 0:41:17.720
<v Speaker 20>of time. If I reflect upon the analogy I just provided,

0:41:17.760 --> 0:41:21.520
<v Speaker 20>neighborhood street house, we compete in the fifteen and above

0:41:21.520 --> 0:41:24.040
<v Speaker 20>price segment. The market's been dislocated a bit. We can

0:41:24.080 --> 0:41:26.600
<v Speaker 20>talk about that, but that's been driven by below fifteen

0:41:26.640 --> 0:41:29.440
<v Speaker 20>and especially below ten, so we compete in the right neighborhood.

0:41:30.040 --> 0:41:32.520
<v Speaker 20>One of the best examples of what's changed, we did

0:41:32.520 --> 0:41:36.200
<v Speaker 20>a portfolio construction exercise over the past nine months.

0:41:36.400 --> 0:41:37.840
<v Speaker 8>Where we looked at our whole portfolio.

0:41:37.880 --> 0:41:41.439
<v Speaker 20>Eleven brands we've concentrated on seven and four are really

0:41:41.520 --> 0:41:46.280
<v Speaker 20>high growth core brands because we're winning with fewer things

0:41:46.360 --> 0:41:50.040
<v Speaker 20>and focusing on the winners that matter, big clear lanes

0:41:50.080 --> 0:41:54.360
<v Speaker 20>of competition, exceptional lines that compete against the best in

0:41:54.400 --> 0:41:58.880
<v Speaker 20>the category, and we've actually increased our addressable market by

0:41:58.880 --> 0:42:01.400
<v Speaker 20>almost two billion dollars from two billion to four billion

0:42:01.520 --> 0:42:04.560
<v Speaker 20>in that exercise and then the proofs in the putting

0:42:04.680 --> 0:42:07.919
<v Speaker 20>so Best House on the Street. The team, I'm really

0:42:07.960 --> 0:42:10.319
<v Speaker 20>proud of them, have grown our market share from ten

0:42:10.400 --> 0:42:14.120
<v Speaker 20>point four percent to eleven point seven percent during our

0:42:14.120 --> 0:42:17.680
<v Speaker 20>whole period. So it's been a busy, busy year. We've

0:42:17.719 --> 0:42:20.359
<v Speaker 20>got a lot of air to travel. You'll hear Duck analogies.

0:42:20.520 --> 0:42:21.360
<v Speaker 20>We don't talk ground.

0:42:21.440 --> 0:42:22.000
<v Speaker 8>We talk to air.

0:42:22.560 --> 0:42:24.840
<v Speaker 20>You'll hear Duck analogies when we talk a lot. But

0:42:25.600 --> 0:42:27.120
<v Speaker 20>we have a lot of air to cover. But we're

0:42:27.200 --> 0:42:28.799
<v Speaker 20>excited about what we've accomplished so far.

0:42:29.000 --> 0:42:30.560
<v Speaker 19>I just want to ask before I get ready to

0:42:30.560 --> 0:42:32.759
<v Speaker 19>pour them or low when you think about kind of

0:42:32.840 --> 0:42:34.000
<v Speaker 19>the recovery we have so much.

0:42:34.080 --> 0:42:36.880
<v Speaker 8>Dailey likes this part. He likes more this is the best.

0:42:37.600 --> 0:42:39.160
<v Speaker 19>But when you think about kind of the state of

0:42:39.160 --> 0:42:42.200
<v Speaker 19>the economy, it does seem like the upper five to

0:42:42.280 --> 0:42:45.399
<v Speaker 19>ten percent of the US consumer is better off than

0:42:45.440 --> 0:42:49.400
<v Speaker 19>really the bottom ninety percent. Thinking about higher price wine,

0:42:49.440 --> 0:42:51.919
<v Speaker 19>better wine. As you mentioned best house on the best block,

0:42:52.280 --> 0:42:54.799
<v Speaker 19>how do you think about attacking that consumer and whether

0:42:54.840 --> 0:42:55.839
<v Speaker 19>you're seeing growth from them.

0:42:55.960 --> 0:43:00.360
<v Speaker 20>Yeah, great question, Bayway. We're very conscious of it is

0:43:00.400 --> 0:43:05.240
<v Speaker 20>to remain a premium, fine and luxury still wine competitor. However,

0:43:05.400 --> 0:43:09.480
<v Speaker 20>and I'll give you two examples, specifically on price, We've

0:43:09.520 --> 0:43:11.719
<v Speaker 20>talked about the better example, and then I want to

0:43:11.719 --> 0:43:16.600
<v Speaker 20>talk to you about consumer experiences with the focus, especially

0:43:16.600 --> 0:43:20.160
<v Speaker 20>for younger consumers, on purchasing power. There's a little nervousness

0:43:20.960 --> 0:43:26.000
<v Speaker 20>around the social, political, and kind of economic environment. We're

0:43:26.040 --> 0:43:29.239
<v Speaker 20>conscious of that. So two ways we've reacted. One, we

0:43:29.320 --> 0:43:33.319
<v Speaker 20>introduced an amazing new brand called green Wing, which is

0:43:33.320 --> 0:43:37.120
<v Speaker 20>a fifteen to twenty dollars a bottle winery brand with

0:43:37.280 --> 0:43:40.680
<v Speaker 20>amazing cabernet from Washington and a Pina noir and pinogrigio

0:43:40.719 --> 0:43:44.600
<v Speaker 20>from Willammett Valley and organ that fifteen to twenty dollars

0:43:44.600 --> 0:43:47.319
<v Speaker 20>bottle of wine can translate into a twelve dollars by

0:43:47.360 --> 0:43:49.520
<v Speaker 20>the glass program if you're at a restaurant. A lot

0:43:49.520 --> 0:43:52.000
<v Speaker 20>of younger consumers say they get more value out of

0:43:52.080 --> 0:43:55.960
<v Speaker 20>spirits or other categories. This is providing them an entry

0:43:55.960 --> 0:43:58.359
<v Speaker 20>point into the wine category, kind of not telling them

0:43:58.360 --> 0:44:01.000
<v Speaker 20>what to drink. That inviting them into our portfolio into

0:44:01.040 --> 0:44:04.439
<v Speaker 20>the wine category based on value. And on the higher

0:44:04.520 --> 0:44:07.400
<v Speaker 20>end of the market, we had our We made a

0:44:07.440 --> 0:44:12.800
<v Speaker 20>price adjustment on our Duckcorn vineyards Knap and Valley Cabernet.

0:44:12.880 --> 0:44:15.759
<v Speaker 20>It was it was priced at seventy two dollars. We

0:44:15.760 --> 0:44:19.240
<v Speaker 20>took the price down to sixty because it's a larger

0:44:19.239 --> 0:44:23.240
<v Speaker 20>addressable market and frankly even for a fine wine consumer

0:44:23.239 --> 0:44:25.879
<v Speaker 20>that can buy wine at that level, recognizing we could

0:44:25.880 --> 0:44:29.600
<v Speaker 20>produce the same or better quality, maintain or really we've

0:44:29.600 --> 0:44:32.200
<v Speaker 20>got a structurally advantaged operating model with great margins. We

0:44:32.200 --> 0:44:34.719
<v Speaker 20>could maintain our margins and put out a more sharp

0:44:34.760 --> 0:44:37.520
<v Speaker 20>price point for them. We're just meeting people on their

0:44:37.600 --> 0:44:41.040
<v Speaker 20>terms in this economic environment and growing as a result.

0:44:41.320 --> 0:44:43.759
<v Speaker 18>If you heard the pouring behind us and the popcorn

0:44:44.120 --> 0:44:47.200
<v Speaker 18>the core popping is because we are having some Duckhorn

0:44:47.360 --> 0:44:48.240
<v Speaker 18>portfolio wine.

0:44:48.360 --> 0:44:48.560
<v Speaker 21>Right.

0:44:48.880 --> 0:44:51.120
<v Speaker 19>This is what we're about to taste is the twenty

0:44:51.160 --> 0:44:55.640
<v Speaker 19>two Murleau. And remind me, why is this a particularly

0:44:55.719 --> 0:44:56.240
<v Speaker 19>nice Merlow?

0:44:56.480 --> 0:44:58.839
<v Speaker 20>This is an exceptional Marlo. Now I'm going to tell

0:44:58.880 --> 0:45:01.279
<v Speaker 20>you I've got a personal bias. I'm a Merleau fan.

0:45:02.680 --> 0:45:05.279
<v Speaker 20>Not everyone can remember, but I remember Sideways I was

0:45:05.320 --> 0:45:07.799
<v Speaker 20>gonna make the jew I filmed from twenty years ago

0:45:07.880 --> 0:45:10.520
<v Speaker 20>that said you shouldn't drink Brlow completely wrong.

0:45:10.640 --> 0:45:12.680
<v Speaker 8>Murrellau, in my opinion, is the best varietal.

0:45:12.920 --> 0:45:14.480
<v Speaker 10>Loved that movie.

0:45:15.239 --> 0:45:18.280
<v Speaker 20>Love the movie, didn't love what it did. For Merlou

0:45:18.400 --> 0:45:22.359
<v Speaker 20>Murlau is the easiest drinking wine. Super great to pair

0:45:22.480 --> 0:45:26.160
<v Speaker 20>with lots of different food choices. It's an easy drinking Barrietal.

0:45:26.440 --> 0:45:30.120
<v Speaker 20>This wine is my favorite in our entire portfolio for

0:45:30.200 --> 0:45:33.760
<v Speaker 20>two reasons. One, Dan and Margaret Duckhorn, who respected nature,

0:45:34.160 --> 0:45:37.840
<v Speaker 20>the craft of wine making and hospitality, introduced this wine

0:45:37.840 --> 0:45:41.480
<v Speaker 20>as their first introduction fifty years ago. And we're celebrating

0:45:41.480 --> 0:45:44.240
<v Speaker 20>our fiftieth anniversary next year and feel really good about

0:45:44.280 --> 0:45:48.120
<v Speaker 20>the momentum of the company. It's an estate wine. It's

0:45:48.160 --> 0:45:50.600
<v Speaker 20>a blend of ninety two percent me low, seven percent

0:45:50.600 --> 0:45:54.319
<v Speaker 20>cabin one percent Cabernet franc It is a luxury wine,

0:45:54.360 --> 0:45:56.040
<v Speaker 20>so it trays for between one hundred and twenty and

0:45:56.040 --> 0:45:58.400
<v Speaker 20>one hundred and fifty dollars a bottle. But it's a

0:45:58.440 --> 0:46:01.840
<v Speaker 20>beautiful wine, and I encourage all of your audience.

0:46:05.920 --> 0:46:07.880
<v Speaker 8>It is a great right right here.

0:46:08.520 --> 0:46:12.080
<v Speaker 22>Well our for audiences who are just joining us right now.

0:46:12.080 --> 0:46:14.920
<v Speaker 22>We are here in the studio talking line and drinking

0:46:14.960 --> 0:46:16.240
<v Speaker 22>wine with our guests.

0:46:16.239 --> 0:46:16.560
<v Speaker 10>Here.

0:46:16.880 --> 0:46:20.120
<v Speaker 22>Robert Hansen CEO of the Duckcorn portfolio, as well as

0:46:20.160 --> 0:46:24.000
<v Speaker 22>Bluer News equities reporter Bailey Lipshaltz. So, Robert, you know,

0:46:24.040 --> 0:46:26.520
<v Speaker 22>I want to touch on what you said earlier, right

0:46:26.560 --> 0:46:29.240
<v Speaker 22>about the process of kind of going public, then private

0:46:29.239 --> 0:46:33.160
<v Speaker 22>and then back again. And so you know, you mentioned

0:46:33.160 --> 0:46:36.680
<v Speaker 22>agility was one thing that really kind of was sustained

0:46:36.680 --> 0:46:39.880
<v Speaker 22>in the company throughout those changes, and you know, talk

0:46:39.920 --> 0:46:43.080
<v Speaker 22>to us about how that's serving you now that the

0:46:43.160 --> 0:46:46.120
<v Speaker 22>market is changing so rapidly. We have, on the one hand,

0:46:46.480 --> 0:46:49.520
<v Speaker 22>gen Z drinkers who just consume less alcohol overall, and

0:46:49.719 --> 0:46:52.720
<v Speaker 22>it seems like that's something that is maybe permeating throughout

0:46:52.719 --> 0:46:54.760
<v Speaker 22>the broader American public.

0:46:54.840 --> 0:46:55.000
<v Speaker 15>Right.

0:46:55.040 --> 0:46:57.040
<v Speaker 22>I think a Gallup was saying that just fifty four

0:46:57.080 --> 0:46:59.560
<v Speaker 22>percent of Americans in general say they drink alcohol.

0:46:59.560 --> 0:46:59.920
<v Speaker 5>That's a right.

0:47:00.560 --> 0:47:03.000
<v Speaker 22>How is the company thinking about these kind of structural

0:47:03.080 --> 0:47:04.799
<v Speaker 22>changes among consumers?

0:47:04.920 --> 0:47:08.719
<v Speaker 20>Yeah, well, I meant great question. And as I mentioned earlier,

0:47:09.320 --> 0:47:12.400
<v Speaker 20>it's true as reported that the market's been dislocated. That

0:47:12.560 --> 0:47:14.720
<v Speaker 20>being said, we compete in the segment of the market

0:47:14.719 --> 0:47:17.919
<v Speaker 20>that has tailwinds fifteen and above, and we're segmented from

0:47:17.960 --> 0:47:20.480
<v Speaker 20>fifteen dollars a bottle up to three hundred dollars a bottle.

0:47:20.520 --> 0:47:22.800
<v Speaker 8>So in still Wine, we are.

0:47:22.719 --> 0:47:28.959
<v Speaker 20>The best house on the street, and we're growing because

0:47:28.960 --> 0:47:32.040
<v Speaker 20>we're competing from fifteen to three hundred. We've got a

0:47:32.080 --> 0:47:36.359
<v Speaker 20>segmentation of our portfolio that meets most consumers' needs. More specifically, though,

0:47:36.400 --> 0:47:39.960
<v Speaker 20>you know, a lot's been written about the betterment trend,

0:47:40.000 --> 0:47:44.000
<v Speaker 20>about drinking less but better quality. That is the focus

0:47:44.040 --> 0:47:46.840
<v Speaker 20>of this portfolio. So you ask the question, what's different.

0:47:47.680 --> 0:47:50.160
<v Speaker 20>We've got our eye on the horizon. We're very much

0:47:50.239 --> 0:47:52.799
<v Speaker 20>focused on meeting the consumer on their playing field, on

0:47:52.880 --> 0:47:56.040
<v Speaker 20>their terms. They want to buy great value, they want

0:47:56.080 --> 0:47:59.160
<v Speaker 20>to buy great quality, they want lower alcohol content in

0:47:59.200 --> 0:48:02.520
<v Speaker 20>some cases, want to drink less but better quality. Our

0:48:02.560 --> 0:48:06.120
<v Speaker 20>whole portfolio is about that. We encourage our consumers to

0:48:06.200 --> 0:48:09.960
<v Speaker 20>drink you know, less but better quality, drink responsibly. We're

0:48:09.960 --> 0:48:11.279
<v Speaker 20>meeting the consumer on their playing field.

0:48:11.280 --> 0:48:11.879
<v Speaker 9>There's kind of.

0:48:11.760 --> 0:48:16.680
<v Speaker 20>Three trends that we've addressed, value, betterment, and then the

0:48:16.719 --> 0:48:18.600
<v Speaker 20>consumer experience of consuming wine.

0:48:18.680 --> 0:48:19.719
<v Speaker 8>Here's one point I'll make.

0:48:19.760 --> 0:48:23.960
<v Speaker 20>Though wine's been around for six millennia, it's a community

0:48:23.960 --> 0:48:26.120
<v Speaker 20>based product right there, all right.

0:48:26.160 --> 0:48:29.880
<v Speaker 18>Bloomberg's Robert Hansen of Duckcorn portfolio.

0:48:30.680 --> 0:48:34.520
<v Speaker 2>This is the Bloomberg Business Week Daily podcast. Listen live

0:48:34.600 --> 0:48:37.600
<v Speaker 2>each weekday starting at two pm Eastern on Apple car

0:48:37.600 --> 0:48:40.600
<v Speaker 2>Play and Android Auto with the Bloomberg Business App. You

0:48:40.600 --> 0:48:43.800
<v Speaker 2>can also listen live on Amazon Alexa from our flagship

0:48:43.840 --> 0:48:47.440
<v Speaker 2>New York station Just Say Alexa played Bloomberg eleven thirty.

0:48:48.120 --> 0:48:49.720
<v Speaker 9>I know you are always ready.

0:48:49.760 --> 0:48:51.000
<v Speaker 3>We're ready, always ready.

0:48:51.040 --> 0:48:53.360
<v Speaker 4>So our Bloomberg Purceeds team out with a last minute

0:48:53.520 --> 0:48:56.000
<v Speaker 4>gift guide for whiskey, wine and spirits lovers, and it

0:48:56.080 --> 0:48:57.920
<v Speaker 4>states something I think we can all agree with, Carol,

0:48:58.080 --> 0:49:01.480
<v Speaker 4>an unexpected bottle of booze is allways welcome around the holidays.

0:49:01.560 --> 0:49:05.080
<v Speaker 3>Yes, indeed, retired, We're expected.

0:49:05.080 --> 0:49:05.680
<v Speaker 9>We're expected.

0:49:06.320 --> 0:49:09.359
<v Speaker 3>I didn't expect that from you, retired. Colonel Mark Erin

0:49:09.680 --> 0:49:11.840
<v Speaker 3>is the CEO of Lofted Spirits. It's the parent company

0:49:11.840 --> 0:49:14.400
<v Speaker 3>of Bardstown Bourbon and Green River Distilling Company. It's one

0:49:14.400 --> 0:49:17.080
<v Speaker 3>of the largest distillers in the United States, and he

0:49:17.160 --> 0:49:20.080
<v Speaker 3>joins us here in the Bloomberg Interactive Brokers studio along

0:49:20.080 --> 0:49:21.880
<v Speaker 3>with David Weston, who is, of course the host of

0:49:21.880 --> 0:49:26.640
<v Speaker 3>Wall Street Week and maybe partakes in bourbon. Everyone's great

0:49:26.680 --> 0:49:30.120
<v Speaker 3>to have you both here with us. Mark tell us

0:49:30.120 --> 0:49:32.160
<v Speaker 3>about kind of your journey. I want to just start there.

0:49:32.160 --> 0:49:35.160
<v Speaker 3>Because you served in the US Army over twenty five years.

0:49:35.480 --> 0:49:38.240
<v Speaker 3>You're ultimately Chief of Staff of the US Army Special

0:49:38.320 --> 0:49:41.399
<v Speaker 3>Operations Command. How do you go from there? And there's

0:49:41.400 --> 0:49:44.000
<v Speaker 3>a lot of stuff in between as well, but how

0:49:44.000 --> 0:49:44.839
<v Speaker 3>do you then get to hear?

0:49:45.280 --> 0:49:49.680
<v Speaker 15>Yeah, so walk and relationships. Bottom line, I've had great

0:49:49.760 --> 0:49:53.279
<v Speaker 15>luck throughout my life. I've been a sports enthusiast all

0:49:53.320 --> 0:49:56.560
<v Speaker 15>my life and grew up playing sports. The Army is

0:49:56.640 --> 0:50:00.440
<v Speaker 15>really a sport in itself, a competition and a a

0:50:00.480 --> 0:50:04.080
<v Speaker 15>team building exercise every day, and I spent twenty six

0:50:04.160 --> 0:50:06.399
<v Speaker 15>years loved it. Got out of the military and wanted

0:50:06.440 --> 0:50:09.600
<v Speaker 15>to do something different than government contracting, which is what

0:50:09.600 --> 0:50:13.120
<v Speaker 15>most people do. With my skill set, ran into some

0:50:13.400 --> 0:50:17.000
<v Speaker 15>great people and a good friend that David knows well

0:50:17.080 --> 0:50:20.319
<v Speaker 15>became a mentor and a good friend of me, John Mack,

0:50:20.360 --> 0:50:22.360
<v Speaker 15>who you all will have heard.

0:50:22.200 --> 0:50:24.160
<v Speaker 17>Of obviously, head of Marshas Stanley.

0:50:24.239 --> 0:50:27.680
<v Speaker 15>John became a great friend and mentored me, and John

0:50:27.840 --> 0:50:30.320
<v Speaker 15>was actually asked to be on the board of margetown

0:50:30.360 --> 0:50:33.640
<v Speaker 15>bourbon company. He had loaned our founder Peter offten money

0:50:33.640 --> 0:50:37.200
<v Speaker 15>throughout the years, and John thought I knew something about whiskey.

0:50:37.400 --> 0:50:40.520
<v Speaker 15>I drank whiskey, but didn't know anything about the Spirit's business.

0:50:41.040 --> 0:50:43.480
<v Speaker 15>But John asked me to check out the company. I

0:50:43.520 --> 0:50:45.920
<v Speaker 15>went and checked it out, became on the board, and

0:50:45.960 --> 0:50:48.560
<v Speaker 15>then ultimately about six and a half years ago, was

0:50:48.600 --> 0:50:51.480
<v Speaker 15>asked to come and run the company. Really a team

0:50:52.239 --> 0:50:54.239
<v Speaker 15>of built a team, and that's what it's been about

0:50:54.239 --> 0:50:58.520
<v Speaker 15>for me, just that kind of you know, creating something

0:50:58.560 --> 0:51:00.399
<v Speaker 15>where people are proud to come to work every day

0:51:00.440 --> 0:51:01.799
<v Speaker 15>is probably the most important thing for me.

0:51:02.040 --> 0:51:04.240
<v Speaker 4>Well, you spent the first part of your career leading

0:51:04.280 --> 0:51:08.200
<v Speaker 4>a lot of people. You led a thirty five one

0:51:08.320 --> 0:51:11.040
<v Speaker 4>hundred man task force in Operation Iraqi Freedom. You teamed

0:51:11.040 --> 0:51:14.279
<v Speaker 4>with coalition partners in Iraqis conducting stability operations throughout Iraq.

0:51:14.360 --> 0:51:17.600
<v Speaker 4>That's just like one percent of what you did over

0:51:17.680 --> 0:51:20.399
<v Speaker 4>your career in the military. How do you How does

0:51:20.600 --> 0:51:24.319
<v Speaker 4>leading a company differ from actually leading in the US

0:51:24.400 --> 0:51:25.440
<v Speaker 4>Armed Forces?

0:51:26.280 --> 0:51:27.520
<v Speaker 9>Look or how is it?

0:51:27.560 --> 0:51:29.680
<v Speaker 15>There's a thing out here in this in the commercial

0:51:29.719 --> 0:51:31.440
<v Speaker 15>world that I've run into called the what's in it

0:51:31.480 --> 0:51:31.719
<v Speaker 15>for me?

0:51:31.800 --> 0:51:32.200
<v Speaker 16>Factor?

0:51:32.400 --> 0:51:35.279
<v Speaker 17>And that's a big issue, and not saying.

0:51:35.000 --> 0:51:36.239
<v Speaker 16>It's wrong, it's it's real.

0:51:36.320 --> 0:51:38.520
<v Speaker 15>People have to worry about their families worry about what

0:51:38.520 --> 0:51:41.560
<v Speaker 15>they're getting paid. That's a that's something that I didn't

0:51:41.600 --> 0:51:43.520
<v Speaker 15>deal with for twenty six years because everybody knew what

0:51:43.520 --> 0:51:46.680
<v Speaker 15>they were getting paid, everybody was on a team, everybody

0:51:46.760 --> 0:51:49.800
<v Speaker 15>had a goal in a mission. So fighting through those

0:51:49.840 --> 0:51:55.160
<v Speaker 15>things to try to create a company where literally people

0:51:55.239 --> 0:51:58.759
<v Speaker 15>place the importance of their job as something that's that's

0:51:58.800 --> 0:52:01.520
<v Speaker 15>a party that I am. Build an organization that folks

0:52:01.560 --> 0:52:03.719
<v Speaker 15>are proud to be a part of and actually want

0:52:03.719 --> 0:52:06.279
<v Speaker 15>to see that company succeed. That's the kind of thing

0:52:06.320 --> 0:52:08.319
<v Speaker 15>that I came from in the militarym We've I think

0:52:08.360 --> 0:52:10.960
<v Speaker 15>done a pretty good job of doing that. If you

0:52:11.000 --> 0:52:13.479
<v Speaker 15>come visit us at Bortstown or Green River, you'll see

0:52:13.480 --> 0:52:15.880
<v Speaker 15>that in our people. We get comments all the time

0:52:16.440 --> 0:52:19.319
<v Speaker 15>about our people and our team, and that's what makes

0:52:19.320 --> 0:52:20.400
<v Speaker 15>this place special for me.

0:52:20.719 --> 0:52:23.600
<v Speaker 23>Mark typically is being a little honest here because from

0:52:23.680 --> 0:52:26.440
<v Speaker 23>my vantage point, because I saw John Mack persuade you

0:52:26.640 --> 0:52:30.480
<v Speaker 23>a fair amount at his house, and what I understood

0:52:30.520 --> 0:52:33.000
<v Speaker 23>is they had a great product, and John Mack believed

0:52:33.040 --> 0:52:36.040
<v Speaker 23>it was a great product, but the company had, let's say,

0:52:36.120 --> 0:52:38.839
<v Speaker 23>upside in what he could do with that product. And

0:52:38.880 --> 0:52:40.920
<v Speaker 23>Mark came in as far as I can tell I

0:52:40.960 --> 0:52:42.879
<v Speaker 23>want to say, turn it around, really built it into

0:52:42.880 --> 0:52:45.360
<v Speaker 23>something really powerful, which had the potential all along.

0:52:45.440 --> 0:52:46.240
<v Speaker 9>I think Mark.

0:52:46.120 --> 0:52:48.760
<v Speaker 15>The company was in a great spot, had an awesome

0:52:49.480 --> 0:52:52.879
<v Speaker 15>growth path. Unfortunately, our founder passed away three months after

0:52:52.920 --> 0:52:55.359
<v Speaker 15>he pugged me in, so we needed to go look

0:52:55.400 --> 0:52:57.680
<v Speaker 15>for a partner who could help us grow. We brought

0:52:57.680 --> 0:52:59.759
<v Speaker 15>in a private equity firm out of Chicago that's been

0:52:59.760 --> 0:53:03.800
<v Speaker 15>a fabulous partner to us and truly enabled the growth

0:53:04.040 --> 0:53:06.680
<v Speaker 15>to where we are now the largest custom distiller for

0:53:06.719 --> 0:53:10.680
<v Speaker 15>spirits in Kentucky. We've grown two great brands, and that

0:53:10.760 --> 0:53:14.240
<v Speaker 15>business model allows us to do the things that most

0:53:14.320 --> 0:53:17.600
<v Speaker 15>brands cannot do. Young brands can afford right now to

0:53:17.640 --> 0:53:20.239
<v Speaker 15>invest the way we're investing behind these two brands. And

0:53:20.239 --> 0:53:22.360
<v Speaker 15>both Bartstown and Green River are two of the fastest

0:53:22.360 --> 0:53:24.960
<v Speaker 15>growing brands in the US right now. And it's because

0:53:25.000 --> 0:53:30.440
<v Speaker 15>of this making whiskey for others, copacking on bottling, all

0:53:30.480 --> 0:53:32.799
<v Speaker 15>these different assets that we bring to our clients that

0:53:32.960 --> 0:53:35.160
<v Speaker 15>enable us to go and invest in these two brands.

0:53:35.239 --> 0:53:37.200
<v Speaker 3>That's what I thought was interesting. And I'm going to

0:53:37.320 --> 0:53:39.000
<v Speaker 3>start doing a little bit of a poor here so

0:53:39.040 --> 0:53:40.879
<v Speaker 3>that you can tell us about some of what we've

0:53:40.880 --> 0:53:43.120
<v Speaker 3>got here, But it is you work with others who

0:53:43.200 --> 0:53:45.680
<v Speaker 3>want to start a brand. I mean, it's a crowded space.

0:53:45.760 --> 0:53:47.960
<v Speaker 3>So I'm just curious how you think about who you

0:53:47.960 --> 0:53:49.640
<v Speaker 3>want to partner with and how do you do something

0:53:49.680 --> 0:53:50.919
<v Speaker 3>that stands out in the shell.

0:53:51.360 --> 0:53:53.320
<v Speaker 16>So we really have two different entities.

0:53:53.360 --> 0:53:54.360
<v Speaker 3>And what am I pouring here?

0:53:54.520 --> 0:53:59.400
<v Speaker 15>Okay, so you are pouring You're actually pouring the world's

0:53:59.560 --> 0:54:03.839
<v Speaker 15>best bourbon according to New York Spirits Wine and Spirits.

0:54:03.560 --> 0:54:06.040
<v Speaker 16>Competition as of this year.

0:54:06.320 --> 0:54:10.040
<v Speaker 15>So that is the top top bourbon in the world.

0:54:10.680 --> 0:54:15.400
<v Speaker 15>It's our Green River Weeded bourbon and that's a thirty.

0:54:15.080 --> 0:54:16.000
<v Speaker 16>Five dollars bourbon.

0:54:16.160 --> 0:54:18.840
<v Speaker 15>Compete togeinst all these other bourbons in a blind tape.

0:54:18.840 --> 0:54:19.680
<v Speaker 18>They do a bigger port.

0:54:20.040 --> 0:54:21.839
<v Speaker 16>You should do it. You should do a perfect court.

0:54:21.920 --> 0:54:22.919
<v Speaker 8>But that's a really low price.

0:54:23.640 --> 0:54:25.520
<v Speaker 16>That is a low price point.

0:54:25.719 --> 0:54:27.440
<v Speaker 15>Is a low price that's you know, we're in the

0:54:27.560 --> 0:54:30.960
<v Speaker 15>super premium and ultra premium price points and those are

0:54:31.000 --> 0:54:33.280
<v Speaker 15>the two price points in American whiskey that are growing.

0:54:33.480 --> 0:54:36.719
<v Speaker 15>American whiskey is down over the last year, yeah, down

0:54:36.800 --> 0:54:39.840
<v Speaker 15>two to three percent. You know, with all the different

0:54:39.840 --> 0:54:42.919
<v Speaker 15>things that are going on around around spirits and international

0:54:42.960 --> 0:54:46.760
<v Speaker 15>trade and everything else. So luckily, what we're doing behind

0:54:46.760 --> 0:54:48.360
<v Speaker 15>these two brands is making them grow the way we

0:54:48.400 --> 0:54:48.799
<v Speaker 15>need them to.

0:54:49.000 --> 0:54:50.920
<v Speaker 3>And before we all take a step take take us

0:54:50.920 --> 0:54:52.560
<v Speaker 3>back to so that when you work with someone, how

0:54:52.560 --> 0:54:54.120
<v Speaker 3>do you figure out who you want to work with?

0:54:54.200 --> 0:54:54.439
<v Speaker 24>Right?

0:54:54.520 --> 0:54:57.160
<v Speaker 3>And because it is, there's a lot out there.

0:54:57.640 --> 0:54:59.920
<v Speaker 17>Yeah, you know, look, I'll tell you.

0:55:00.080 --> 0:55:02.279
<v Speaker 15>Three years ago, we didn't have much competition and people

0:55:02.360 --> 0:55:04.560
<v Speaker 15>saw the business model, and now there's a lot of competition.

0:55:04.840 --> 0:55:06.680
<v Speaker 17>We used to kind of get just to get choose

0:55:06.880 --> 0:55:07.560
<v Speaker 17>who we wanted.

0:55:07.400 --> 0:55:07.879
<v Speaker 8>To work with.

0:55:08.680 --> 0:55:12.960
<v Speaker 15>Now there's competition out there. So we are truly the

0:55:12.960 --> 0:55:15.440
<v Speaker 15>only ones who are providing grain to glass service, meaning

0:55:15.640 --> 0:55:18.440
<v Speaker 15>we're going to help you design your whiskey, we'll make

0:55:18.480 --> 0:55:20.120
<v Speaker 15>it for you, we'll store it for you, and then

0:55:20.160 --> 0:55:21.600
<v Speaker 15>we'll get it ready to go to market. With our

0:55:21.600 --> 0:55:24.400
<v Speaker 15>world class bottom facility. We're helping our clients in so

0:55:24.400 --> 0:55:29.280
<v Speaker 15>many different ways, you know, whether it be unique financing modes.

0:55:29.840 --> 0:55:32.359
<v Speaker 16>You know, that's been probably.

0:55:32.080 --> 0:55:34.720
<v Speaker 15>The biggest issue for our industry over the last few years.

0:55:35.280 --> 0:55:37.920
<v Speaker 15>People talk about tariffs, we had financing issues.

0:55:37.960 --> 0:55:39.960
<v Speaker 16>Before we had tariffs, there.

0:55:39.840 --> 0:55:42.520
<v Speaker 15>Was a lot of negative chatter about alcohol and spirits

0:55:42.520 --> 0:55:48.879
<v Speaker 15>in general. You know, young people aren't drinking supposedly. See

0:55:49.320 --> 0:55:52.080
<v Speaker 15>the GLP drugs and the impact that those are having.

0:55:52.400 --> 0:55:55.279
<v Speaker 15>All these different issues creating some negative chatter. But what

0:55:55.320 --> 0:55:58.520
<v Speaker 15>we're seeing today is an opportunity where I think savvy

0:55:58.520 --> 0:56:00.600
<v Speaker 15>investors are starting to get in. We're going We're getting

0:56:00.600 --> 0:56:05.280
<v Speaker 15>a lot of inbound from family offices and private equity

0:56:05.320 --> 0:56:08.120
<v Speaker 15>who want to create funds to specifically invest in whiskey

0:56:08.120 --> 0:56:11.360
<v Speaker 15>because they see the low end of a market and

0:56:11.400 --> 0:56:16.600
<v Speaker 15>an opportunity for reasonable rate to return, where four years

0:56:16.600 --> 0:56:17.799
<v Speaker 15>ago I would have told you it was kind of

0:56:17.800 --> 0:56:21.560
<v Speaker 15>a crazy rate of return. Yeah, now it's reasonable, and

0:56:21.600 --> 0:56:24.319
<v Speaker 15>I think people are seeing that and coming back in well,

0:56:24.400 --> 0:56:25.239
<v Speaker 15>not exactly the same.

0:56:25.280 --> 0:56:27.160
<v Speaker 3>I grew up though my dad made a mean whiskey

0:56:27.200 --> 0:56:31.279
<v Speaker 3>sour and you would say Nazadrovia because I'm Slovak, So anyway, Nazdovia.

0:56:31.280 --> 0:56:32.680
<v Speaker 3>But tell us cheers.

0:56:32.800 --> 0:56:36.200
<v Speaker 15>So this is again the number One's the number one

0:56:36.239 --> 0:56:38.560
<v Speaker 15>bourbon in the world, according to New York Spirits Competition

0:56:38.719 --> 0:56:43.120
<v Speaker 15>Blind Tasting Amazing. This is a weeded bourbon. So Bourbon

0:56:44.440 --> 0:56:49.000
<v Speaker 15>is nineteen sixty four. It is our nation spirit, It's

0:56:49.120 --> 0:56:52.719
<v Speaker 15>America's native spirit. And it has to be made in

0:56:53.080 --> 0:56:56.239
<v Speaker 15>the United States and it has to be predominantly corn

0:56:56.320 --> 0:56:58.719
<v Speaker 15>to be bourbon. And then typically you have a flavor grain.

0:56:58.840 --> 0:57:02.200
<v Speaker 15>The flavor grain in this is people say wheat is

0:57:02.239 --> 0:57:03.160
<v Speaker 15>sweet and smooth.

0:57:04.000 --> 0:57:05.200
<v Speaker 16>The wheat is really kind of.

0:57:05.200 --> 0:57:08.799
<v Speaker 15>Passive compared to rye and allows the sweetness of the

0:57:08.800 --> 0:57:09.560
<v Speaker 15>corn to come through.

0:57:09.640 --> 0:57:11.520
<v Speaker 17>So that's kind of what you sense from this as

0:57:11.560 --> 0:57:12.839
<v Speaker 17>you sniff.

0:57:12.520 --> 0:57:15.000
<v Speaker 15>It and as you taste it now carefully, it's a

0:57:15.239 --> 0:57:18.040
<v Speaker 15>it's a good I don't I know David used to

0:57:18.040 --> 0:57:20.200
<v Speaker 15>do the morning show and I don't know his drinking hours.

0:57:20.840 --> 0:57:26.640
<v Speaker 16>This is my first bourbon of to day. So anyways, cheers.

0:57:27.400 --> 0:57:29.840
<v Speaker 23>So while they're drinking, you've grown in a fair amount.

0:57:30.200 --> 0:57:33.000
<v Speaker 23>Where's the sky? How far can you take this?

0:57:33.080 --> 0:57:34.120
<v Speaker 9>And what do you need?

0:57:34.360 --> 0:57:37.640
<v Speaker 16>So two different things. Really we have to uh two

0:57:37.720 --> 0:57:42.880
<v Speaker 16>separate business lines. Our our core business is making whiskey

0:57:42.880 --> 0:57:44.919
<v Speaker 16>for others. Again, that's that's our core.

0:57:45.000 --> 0:57:47.400
<v Speaker 15>That's what pays all the bills and allows us to

0:57:47.440 --> 0:57:49.800
<v Speaker 15>invest in these two brands the way we need to.

0:57:50.280 --> 0:57:54.920
<v Speaker 15>We're innovating on our core business. We're and small bottling

0:57:54.920 --> 0:57:57.640
<v Speaker 15>lines as people want to downside to different package sizes.

0:57:58.160 --> 0:58:01.400
<v Speaker 15>We're helping people were making wrong for the first time.

0:58:01.520 --> 0:58:04.680
<v Speaker 15>For a client who's doing the ready to drink in

0:58:04.720 --> 0:58:08.760
<v Speaker 15>a can. We're bottling Vadkin gin for folks. So we're

0:58:08.800 --> 0:58:10.720
<v Speaker 15>innovating on that side to make sure we give our

0:58:10.760 --> 0:58:13.680
<v Speaker 15>clients everything we can so that we can continue to

0:58:13.680 --> 0:58:15.000
<v Speaker 15>invest behind these two brands.

0:58:15.040 --> 0:58:16.439
<v Speaker 16>Both of these brands are going.

0:58:16.360 --> 0:58:19.240
<v Speaker 15>To be in the top ten of their price point

0:58:19.480 --> 0:58:20.880
<v Speaker 15>by middle of next year.

0:58:20.960 --> 0:58:22.120
<v Speaker 16>So we've got to set a new goal.

0:58:22.160 --> 0:58:24.960
<v Speaker 15>That's been our goal for quite a while, and then

0:58:25.000 --> 0:58:27.760
<v Speaker 15>we'll get into the international market. We're selling in London,

0:58:27.800 --> 0:58:31.640
<v Speaker 15>we're selling in Sydney, and we're selling in Western Canada

0:58:31.720 --> 0:58:32.120
<v Speaker 15>right now.

0:58:32.360 --> 0:58:34.480
<v Speaker 3>And you said Green River was about thirty five Bardstown,

0:58:34.520 --> 0:58:34.880
<v Speaker 3>same thing.

0:58:35.000 --> 0:58:38.080
<v Speaker 15>Forty five dollars price point on that Bardstown bottled in Bond.

0:58:38.160 --> 0:58:40.320
<v Speaker 16>That's our you know.

0:58:40.680 --> 0:58:44.720
<v Speaker 15>The Bottled in Bond Act was the first really start

0:58:44.760 --> 0:58:48.440
<v Speaker 15>of FDA, the Food and Drug Administration, where you had

0:58:48.960 --> 0:58:49.600
<v Speaker 15>you were trying.

0:58:49.440 --> 0:58:51.480
<v Speaker 16>To get people to say what's actually in the product.

0:58:51.800 --> 0:58:54.200
<v Speaker 15>So they set the rules behind what it had to

0:58:54.200 --> 0:58:55.840
<v Speaker 15>be and it had to be one hunter proof aged

0:58:55.880 --> 0:58:59.400
<v Speaker 15>four years at one distiller in one season, so you know,

0:58:59.480 --> 0:59:02.360
<v Speaker 15>premitting people from putting tobacco juice for coloring and other

0:59:02.400 --> 0:59:03.360
<v Speaker 15>things in it.

0:59:03.920 --> 0:59:09.920
<v Speaker 16>So that's a great product. And again Bartstown Bottled and Bond.

0:59:10.840 --> 0:59:13.080
<v Speaker 23>What do you think, David, Well, I'm actually curious on

0:59:13.200 --> 0:59:13.800
<v Speaker 23>the growing part.

0:59:13.840 --> 0:59:16.040
<v Speaker 9>Again, is it capital intensive?

0:59:16.840 --> 0:59:17.440
<v Speaker 1>Twenty second?

0:59:17.600 --> 0:59:20.720
<v Speaker 16>Is capital intensive? We're committing that's again.

0:59:20.800 --> 0:59:23.120
<v Speaker 15>Wow, We've got this unique business model that allows us

0:59:23.120 --> 0:59:25.600
<v Speaker 15>to invest in these brands where most brands can't.

0:59:25.880 --> 0:59:28.760
<v Speaker 4>That was Mark Irwin's CEO of Lofted Spirits, David Weston,

0:59:28.800 --> 0:59:31.320
<v Speaker 4>host of Bloomberg Wall Street Week, joining us there as well.

0:59:31.360 --> 0:59:33.440
<v Speaker 3>You know, David has always said wait, wait, wait, is

0:59:33.480 --> 0:59:35.000
<v Speaker 3>this like, are you guys having an alcohol?

0:59:35.400 --> 0:59:37.440
<v Speaker 4>Hey, we finally Gotpapy to have We.

0:59:37.440 --> 0:59:38.360
<v Speaker 1>Finally got him to join.

0:59:38.400 --> 0:59:39.760
<v Speaker 14>It was really a lot of fun.

0:59:40.120 --> 0:59:40.880
<v Speaker 10>All rights still ahead.

0:59:40.880 --> 0:59:43.440
<v Speaker 3>On Bloomberg Business Week, how one family left the London

0:59:43.480 --> 0:59:46.040
<v Speaker 3>suburbs for a small village in France all through the

0:59:46.120 --> 0:59:47.480
<v Speaker 3>love of wine.

0:59:47.280 --> 0:59:50.040
<v Speaker 4>And then a wine experience by way of Little Tuscany

0:59:50.080 --> 0:59:52.320
<v Speaker 4>and Uruguay. This is Bloomberg.

0:59:56.720 --> 1:00:00.520
<v Speaker 2>You're listening to the Bloomberg Business Week Daily Podcast. Catch

1:00:00.600 --> 1:00:03.840
<v Speaker 2>us live weekday afternoons from two to five pm Eastern

1:00:03.960 --> 1:00:07.000
<v Speaker 2>Listen on Apple CarPlay and Android Auto with the Bloomberg

1:00:07.080 --> 1:00:10.360
<v Speaker 2>Business app or watch us live on YouTube.

1:00:10.640 --> 1:00:12.920
<v Speaker 4>That's the stuff of fantasies, Carol.

1:00:12.960 --> 1:00:13.720
<v Speaker 10>We've talked about this.

1:00:13.840 --> 1:00:16.280
<v Speaker 4>Yeah, you quit your corporate job in London. Okay, you

1:00:16.320 --> 1:00:19.080
<v Speaker 4>move to the south of France with your three kids,

1:00:19.120 --> 1:00:20.680
<v Speaker 4>your wife, you make rose.

1:00:20.880 --> 1:00:22.520
<v Speaker 3>It sounds magical, it does well.

1:00:22.520 --> 1:00:25.480
<v Speaker 4>It wasn't a fantasy for Stephen Kronk, the founder and

1:00:25.680 --> 1:00:29.600
<v Speaker 4>CEO of Maison Mirabo. He and his wife did exactly that.

1:00:29.680 --> 1:00:33.520
<v Speaker 4>It was sixteen, sixteen years ago. It was yeah, wow,

1:00:34.040 --> 1:00:36.440
<v Speaker 4>at the height of the global financial crisis.

1:00:36.560 --> 1:00:37.320
<v Speaker 3>Talk about timing.

1:00:37.600 --> 1:00:40.480
<v Speaker 4>Steven's with us right now here in the Bloomberg Interactive

1:00:40.480 --> 1:00:44.680
<v Speaker 4>Brokers studio, and he brought rose. First of all, it's

1:00:44.720 --> 1:00:46.880
<v Speaker 4>been a little while since we last spoke.

1:00:46.640 --> 1:00:47.840
<v Speaker 9>To here, at least two years.

1:00:48.040 --> 1:00:50.560
<v Speaker 4>Yes, yes, how's business been since then?

1:00:51.000 --> 1:00:54.240
<v Speaker 9>It's well, it's interesting question. It's been up and down.

1:00:54.280 --> 1:00:56.800
<v Speaker 9>I would say, I mean, I think Provence Rose is

1:00:56.840 --> 1:01:00.560
<v Speaker 9>still the benchmark for rose around the world, so we're

1:01:00.600 --> 1:01:02.280
<v Speaker 9>very lucky we've got that. But there's been a lot

1:01:02.280 --> 1:01:04.000
<v Speaker 9>of headwinds, as I'm srure you're aware.

1:01:04.160 --> 1:01:07.000
<v Speaker 4>Yeah it Look, there's the climate change headwind, but there's

1:01:07.040 --> 1:01:11.120
<v Speaker 4>also the changing consumer tastes headwinds as well as tariffs exactly,

1:01:11.760 --> 1:01:13.720
<v Speaker 4>which is the thing that is the biggest headwind.

1:01:14.840 --> 1:01:17.600
<v Speaker 9>They all combine together. This is the perfect storm. So

1:01:17.640 --> 1:01:21.200
<v Speaker 9>the health kick, there's the cannabis movement, there's the no

1:01:21.360 --> 1:01:24.520
<v Speaker 9>and low alcohol movement, there's the zimpic movement because that

1:01:24.560 --> 1:01:27.240
<v Speaker 9>suppresses people's desire to have a drink. So it's like

1:01:27.280 --> 1:01:29.360
<v Speaker 9>everything and then you load on top of that the tariffs.

1:01:29.400 --> 1:01:30.840
<v Speaker 9>It's like, yeah, what has happened?

1:01:31.080 --> 1:01:33.040
<v Speaker 3>So what does that mean for you guys? Like how

1:01:33.080 --> 1:01:35.560
<v Speaker 3>do you pivot? How do you adjust around that?

1:01:36.080 --> 1:01:37.920
<v Speaker 9>Well, there's a lot of things we can't change. But

1:01:37.960 --> 1:01:40.840
<v Speaker 9>what we try and do is is with the tariffs,

1:01:40.880 --> 1:01:42.680
<v Speaker 9>for example, we've tried to swallow as much as we can.

1:01:42.760 --> 1:01:45.040
<v Speaker 9>We don't want mirror bou to be much more expensive

1:01:45.080 --> 1:01:47.800
<v Speaker 9>in the store, so we've tried to swallow that, which

1:01:47.840 --> 1:01:49.880
<v Speaker 9>is it's hard, but we're keeping our fingers crossed that

1:01:49.960 --> 1:01:51.160
<v Speaker 9>maybe this is going to change.

1:01:51.320 --> 1:01:54.320
<v Speaker 4>Remind everybody the price range from the United States, so

1:01:54.560 --> 1:01:56.560
<v Speaker 4>you don't want the price to go up in the US.

1:01:56.600 --> 1:02:01.120
<v Speaker 9>So we generally between twenty and thirty, I mean want

1:02:01.120 --> 1:02:02.880
<v Speaker 9>to try and keep below thirty dollars because that's a

1:02:02.920 --> 1:02:03.360
<v Speaker 9>price point.

1:02:03.480 --> 1:02:05.000
<v Speaker 4>So then how does that hit your margins?

1:02:05.280 --> 1:02:07.640
<v Speaker 9>Yeah, it's not great, but you know, I'd rather build

1:02:07.680 --> 1:02:10.080
<v Speaker 9>a brand, and you know, i'd rather people carry on

1:02:10.160 --> 1:02:12.440
<v Speaker 9>drinking Mirbo especially you know, we're coming out of Thanksgiving

1:02:12.440 --> 1:02:14.840
<v Speaker 9>and Provence Rose is just so good with with turkey.

1:02:15.680 --> 1:02:17.480
<v Speaker 9>So you know, I'm just trying to hope this goes

1:02:17.520 --> 1:02:19.840
<v Speaker 9>away and just carry on pushing my wines here.

1:02:20.080 --> 1:02:20.320
<v Speaker 8>Yeah.

1:02:20.440 --> 1:02:22.120
<v Speaker 3>Well, you know, and I've said I wasn't a big

1:02:22.200 --> 1:02:24.640
<v Speaker 3>Rose drinker, but I've got to say yours is pretty

1:02:24.720 --> 1:02:27.880
<v Speaker 3>pretty magical, and I've really enjoyed it, and we're going

1:02:27.920 --> 1:02:30.560
<v Speaker 3>to taste it and know Tim is sniffing it out.

1:02:30.840 --> 1:02:33.520
<v Speaker 3>You're in the United States, talk to us about the

1:02:33.600 --> 1:02:34.880
<v Speaker 3>US market specifically.

1:02:35.400 --> 1:02:39.880
<v Speaker 9>So I've started farming regeneratively for some of my wines, right,

1:02:39.920 --> 1:02:44.720
<v Speaker 9>and the regenerative movement seems to be centered many around California. Now, yeah, so,

1:02:44.840 --> 1:02:46.720
<v Speaker 9>I mean, I'm selling my wines in forty countries, but

1:02:46.800 --> 1:02:50.640
<v Speaker 9>California is the epicenter of the regenerative movement. The California

1:02:50.680 --> 1:02:53.240
<v Speaker 9>Department of Food and Agriculture has been the first state

1:02:53.680 --> 1:02:58.960
<v Speaker 9>to to define the words regenerative agriculture, and meanwhile, we've got,

1:02:59.040 --> 1:03:02.040
<v Speaker 9>you know, the wine regions, so Paso, Robles, Nappers and Oma.

1:03:02.360 --> 1:03:04.760
<v Speaker 9>They are the most regenerative wine areas in the world.

1:03:05.240 --> 1:03:09.040
<v Speaker 3>So what does that mean for one of county where

1:03:09.080 --> 1:03:12.240
<v Speaker 3>t is from. But what does that mean that you

1:03:12.280 --> 1:03:15.640
<v Speaker 3>would you do more here in the United States?

1:03:15.960 --> 1:03:18.400
<v Speaker 9>I'm just trying to sell more wine here. And so

1:03:18.480 --> 1:03:22.000
<v Speaker 9>the retailers say, like air One and Sprouts and Bristol

1:03:22.040 --> 1:03:25.760
<v Speaker 9>Farms and Hagen's, they're really getting behind the regenerative movement

1:03:25.800 --> 1:03:28.080
<v Speaker 9>that they're looking to seek out regenerative.

1:03:27.720 --> 1:03:29.360
<v Speaker 3>Farmer because there's an awareness of it right.

1:03:29.480 --> 1:03:31.160
<v Speaker 9>Because they know what it means for farmers, they know

1:03:31.160 --> 1:03:32.040
<v Speaker 9>what it means for people to.

1:03:32.200 --> 1:03:35.160
<v Speaker 4>Not everybody knows what regenerative farming means and especially how

1:03:35.200 --> 1:03:39.120
<v Speaker 4>that is applied to farming the grapes that go into wine,

1:03:39.160 --> 1:03:41.320
<v Speaker 4>that go into rose. So for for people who don't

1:03:41.360 --> 1:03:43.720
<v Speaker 4>know what it is, explain regenerative farming in the context

1:03:43.840 --> 1:03:44.840
<v Speaker 4>of Vina culture.

1:03:45.240 --> 1:03:48.680
<v Speaker 9>So regenerative, as the name suggested, is about regenerating soil, fertility,

1:03:49.040 --> 1:03:52.840
<v Speaker 9>and regenerating nature in simple terms, So you know, it's

1:03:52.840 --> 1:03:55.160
<v Speaker 9>the if you think about it, what was organic farming

1:03:55.200 --> 1:04:00.120
<v Speaker 9>called before the First World War? Farming right, and then

1:04:00.160 --> 1:04:02.200
<v Speaker 9>there was a huge amount of pressure here. Everyone's still

1:04:02.280 --> 1:04:05.680
<v Speaker 9>worried about industrial farming, so the heavy tillage and in

1:04:05.720 --> 1:04:08.640
<v Speaker 9>particular heavy use of chemicals. So there's been a move

1:04:10.240 --> 1:04:12.320
<v Speaker 9>certainly since the First World War and the Second World

1:04:12.320 --> 1:04:14.520
<v Speaker 9>War as well. We've seen a lot of nitrogen being

1:04:14.600 --> 1:04:16.200
<v Speaker 9>used in farms and a lot of heavy tillage, and

1:04:16.200 --> 1:04:18.600
<v Speaker 9>a lot of chemicals pesticide and so on, and that's

1:04:18.640 --> 1:04:21.960
<v Speaker 9>just been killing our soils. This is a catastrophe. You know,

1:04:22.000 --> 1:04:23.600
<v Speaker 9>we were worried about famine at the end of the

1:04:23.600 --> 1:04:26.320
<v Speaker 9>Second World War, so rightfully, we were worried about feeding

1:04:26.320 --> 1:04:29.360
<v Speaker 9>our population. But we haven't been measuring food in the

1:04:29.400 --> 1:04:32.160
<v Speaker 9>right value. It've been measured by calories rather than nutrient density.

1:04:33.160 --> 1:04:35.200
<v Speaker 3>So I didn't mean to interrupt, but it was just interesting.

1:04:35.240 --> 1:04:37.920
<v Speaker 3>We just came off a discussion of talking about the

1:04:37.960 --> 1:04:41.040
<v Speaker 3>cost of meat and just what's going on in that world.

1:04:41.040 --> 1:04:44.040
<v Speaker 3>But I do think about, like is our soil globally,

1:04:44.920 --> 1:04:48.000
<v Speaker 3>how tortured is it or how bad is it because

1:04:48.000 --> 1:04:49.040
<v Speaker 3>of the industrial farming.

1:04:49.560 --> 1:04:51.040
<v Speaker 9>A lot of it, most of it, I would say,

1:04:51.080 --> 1:04:54.920
<v Speaker 9>is on life support. It's really it's catastrophic. So when

1:04:54.920 --> 1:04:57.040
<v Speaker 9>I I was gonna say, when I drive out from

1:04:57.160 --> 1:04:59.560
<v Speaker 9>Na to Pazzerobuls, which is one of the most regenerative

1:04:59.560 --> 1:05:02.280
<v Speaker 9>regions in in wine up the I five and you

1:05:02.360 --> 1:05:04.960
<v Speaker 9>see thousands of acres of fruit trees and nut trees

1:05:05.200 --> 1:05:07.320
<v Speaker 9>that are on life support. It's like the moon's surface,

1:05:07.760 --> 1:05:10.440
<v Speaker 9>and so it's they're kept life by these excen inputs

1:05:10.680 --> 1:05:12.240
<v Speaker 9>and what you end up with a product, but they're

1:05:12.240 --> 1:05:15.360
<v Speaker 9>not very tasty and they're not very nutritionally dense. So

1:05:15.400 --> 1:05:17.920
<v Speaker 9>we need to actually start restoring soil health globally, and

1:05:18.000 --> 1:05:19.360
<v Speaker 9>regenerative is a way of doing that.

1:05:19.600 --> 1:05:21.600
<v Speaker 3>So you can do that in terms of all that soil,

1:05:21.640 --> 1:05:24.200
<v Speaker 3>how long does it take the process of getting it back.

1:05:24.640 --> 1:05:27.240
<v Speaker 9>It can happen quite quickly, and that's one reason why

1:05:27.280 --> 1:05:29.240
<v Speaker 9>we so I run a nonprofit as well called the

1:05:29.240 --> 1:05:33.880
<v Speaker 9>Regenerative Viticulture Foundation. So viticulture is agriculture for vines, and

1:05:33.920 --> 1:05:37.320
<v Speaker 9>we're launching these initiatives called one block challenges. So we

1:05:37.360 --> 1:05:39.040
<v Speaker 9>did one in Paso, we've done one, we're doing one

1:05:39.040 --> 1:05:44.440
<v Speaker 9>in Napo Opus one in fact a great winery and winery,

1:05:45.080 --> 1:05:46.920
<v Speaker 9>so we're doing one there on the eighteenth of November,

1:05:47.040 --> 1:05:49.520
<v Speaker 9>and we're challenging the growers in Napa and as we

1:05:49.520 --> 1:05:53.240
<v Speaker 9>did in Pazo, to just transition one block of their

1:05:53.320 --> 1:05:56.160
<v Speaker 9>vineyard to regen for a year and then come back

1:05:56.200 --> 1:05:59.360
<v Speaker 9>and see the difference. It's incredible how generous mother nature

1:05:59.400 --> 1:05:59.960
<v Speaker 9>is coming back.

1:06:00.240 --> 1:06:02.760
<v Speaker 4>That's Stephen Kraut, the owner of Meissan Mirabeau.

1:06:03.160 --> 1:06:03.360
<v Speaker 16>Hey.

1:06:03.400 --> 1:06:05.800
<v Speaker 3>Before we go, how about another story of a family

1:06:05.840 --> 1:06:09.400
<v Speaker 3>owned winery, this time in the luscious region of South America.

1:06:09.440 --> 1:06:12.760
<v Speaker 4>Since nineteen ninety nine, Bodega Garzone has been making wine

1:06:12.800 --> 1:06:16.560
<v Speaker 4>and developing a mega wine experience in Uruguay. Christian Wiley

1:06:16.640 --> 1:06:19.560
<v Speaker 4>is Bodega Garzon's managing director. He stopped by to tell

1:06:19.640 --> 1:06:21.480
<v Speaker 4>us all about it. You know, when we think about

1:06:21.600 --> 1:06:23.280
<v Speaker 4>so called New World wines, I think a lot of

1:06:23.320 --> 1:06:27.720
<v Speaker 4>people often think of in South America, maybe Argentina or Chile.

1:06:28.560 --> 1:06:31.520
<v Speaker 4>Uruguay not really on the map as a wine destination

1:06:31.800 --> 1:06:33.280
<v Speaker 4>as much as other areas.

1:06:33.360 --> 1:06:34.040
<v Speaker 8>Why as the world.

1:06:34.240 --> 1:06:35.960
<v Speaker 21>I mean, it's not on the map because they've been

1:06:36.040 --> 1:06:38.080
<v Speaker 21>drinking all their wine they've been making for the last

1:06:38.880 --> 1:06:43.040
<v Speaker 21>three three centuries. But then Darson comes into play, and

1:06:43.080 --> 1:06:46.880
<v Speaker 21>this is an incredible investment of Don Alejandro Rulgeroni.

1:06:47.320 --> 1:06:49.760
<v Speaker 24>It's two hundred and fifty million dollars capex.

1:06:50.240 --> 1:06:54.360
<v Speaker 21>It is the largest investor investment ever.

1:06:54.240 --> 1:06:56.600
<v Speaker 24>In the industry of wine. And this is right now

1:06:56.840 --> 1:06:59.360
<v Speaker 24>in the region or in the world, in the world world. Wow,

1:06:59.600 --> 1:06:59.880
<v Speaker 24>this is.

1:07:00.080 --> 1:07:02.440
<v Speaker 21>Right next to the beach to the Uruguayan rivie Era.

1:07:03.000 --> 1:07:05.560
<v Speaker 21>So you have josseig Nacio, which is like the centrope.

1:07:05.720 --> 1:07:07.920
<v Speaker 4>Yeah, if you're watching us on YouTube Bloomberg Originals, you

1:07:07.920 --> 1:07:09.720
<v Speaker 4>can see the stunning photos right now.

1:07:09.760 --> 1:07:12.080
<v Speaker 3>And that was showing kind of the investment that you

1:07:12.120 --> 1:07:12.920
<v Speaker 3>guys have been making.

1:07:13.320 --> 1:07:15.680
<v Speaker 21>So it's and it's it's done in a in a

1:07:15.840 --> 1:07:19.760
<v Speaker 21>very if you like, forward thinking way of the most.

1:07:20.200 --> 1:07:21.680
<v Speaker 24>Committed to sustainability.

1:07:22.160 --> 1:07:24.120
<v Speaker 21>We were the first winery in the world to be

1:07:24.200 --> 1:07:27.720
<v Speaker 21>one hundred percent LEADS certified, and we work, you know.

1:07:27.800 --> 1:07:28.920
<v Speaker 24>To express the place.

1:07:28.960 --> 1:07:32.720
<v Speaker 21>It's a new taroire that is, you know, the vision

1:07:32.760 --> 1:07:35.280
<v Speaker 21>is for Albert Antonini, who's like the top wine maker

1:07:35.320 --> 1:07:39.560
<v Speaker 21>from from Tuscany. And then one of our pillars is

1:07:39.600 --> 1:07:43.520
<v Speaker 21>the experiences, so we have Francis Malman is our chef,

1:07:43.880 --> 1:07:46.640
<v Speaker 21>so you experience these beautiful wines with an incredible view

1:07:47.240 --> 1:07:49.800
<v Speaker 21>right next to the ocean in a place that it's

1:07:49.840 --> 1:07:51.360
<v Speaker 21>like the centerpe of South America.

1:07:51.560 --> 1:07:53.400
<v Speaker 3>You don't spend two hundred and fifty million dollars on

1:07:53.440 --> 1:07:56.040
<v Speaker 3>capex unless there's growth going on. Tell us about the

1:07:56.080 --> 1:08:01.720
<v Speaker 3>business and in terms of topline growth, but it also

1:08:01.760 --> 1:08:06.080
<v Speaker 3>sounds like it's also experiential that you guys have incorporated.

1:08:06.120 --> 1:08:07.960
<v Speaker 3>So give us you know, we're Bloomberg. We love all

1:08:07.960 --> 1:08:09.560
<v Speaker 3>the numbers, So give us an idea in terms of

1:08:09.600 --> 1:08:10.680
<v Speaker 3>the growth that you guys have seen.

1:08:11.000 --> 1:08:14.040
<v Speaker 21>Well, we've basically gone from a place that didn't grow

1:08:14.120 --> 1:08:17.839
<v Speaker 21>vines to a vineyard that has more than a thousand

1:08:17.840 --> 1:08:22.160
<v Speaker 21>little parcels, little blocks. We've gone from zero to sixty markets.

1:08:22.200 --> 1:08:24.960
<v Speaker 21>We're selling all over the world. It's become the main

1:08:25.000 --> 1:08:28.320
<v Speaker 21>brand in Uruguay, but it's also the leader in the States,

1:08:28.320 --> 1:08:33.479
<v Speaker 21>to Brazil, to Japan, China, UK and it's it's growing

1:08:33.720 --> 1:08:35.360
<v Speaker 21>very fast normally.

1:08:35.479 --> 1:08:39.320
<v Speaker 3>And what's fast is it high teens? Is it above that?

1:08:41.720 --> 1:08:42.200
<v Speaker 8>Many years?

1:08:42.400 --> 1:08:47.799
<v Speaker 21>Wow, doubling the business many years in a row, including Covid,

1:08:47.840 --> 1:08:50.719
<v Speaker 21>and as you said, all the different cycles right now.

1:08:50.760 --> 1:08:53.320
<v Speaker 21>We've yesterday we toasted to our first year with our

1:08:53.360 --> 1:08:56.800
<v Speaker 21>new partners in the US with a wine bow, and

1:08:56.840 --> 1:08:59.400
<v Speaker 21>again we did really well in a very tough year.

1:09:01.040 --> 1:09:01.320
<v Speaker 9>But you.

1:09:02.920 --> 1:09:07.360
<v Speaker 21>Have a level of investment that it's really projected very

1:09:07.439 --> 1:09:08.240
<v Speaker 21>very long term.

1:09:08.680 --> 1:09:12.439
<v Speaker 24>We have projects for hotels, We have a real estate

1:09:12.479 --> 1:09:13.040
<v Speaker 24>on the beach.

1:09:13.640 --> 1:09:18.479
<v Speaker 21>Mister Voolgeroni has an incredible a golf course designed by

1:09:18.520 --> 1:09:22.000
<v Speaker 21>Phil Michelson and Acha Caa that it's a PGA tour

1:09:22.040 --> 1:09:25.320
<v Speaker 21>preferred golf course. We make our own extra virgin olive oil.

1:09:25.439 --> 1:09:26.760
<v Speaker 21>So we talked about there are some.

1:09:27.240 --> 1:09:30.599
<v Speaker 4>Universe what is the biggest revenue driver. Is it the winer,

1:09:30.680 --> 1:09:33.439
<v Speaker 4>is it the real estate? Ask if it's even the

1:09:33.479 --> 1:09:34.040
<v Speaker 4>olive oil.

1:09:34.520 --> 1:09:37.519
<v Speaker 21>Yeah, the first one was the olive oil, extra virgin

1:09:37.520 --> 1:09:40.080
<v Speaker 21>olive oil, and it's one like the best extra virgin

1:09:40.160 --> 1:09:42.439
<v Speaker 21>olive oil in the world. A couple of times. The

1:09:42.479 --> 1:09:46.120
<v Speaker 21>winery is the wines. It was driving the revenue. And

1:09:46.200 --> 1:09:49.599
<v Speaker 21>it's not just setting wine as a product, it's also

1:09:49.600 --> 1:09:54.040
<v Speaker 21>the experiences. So we have fifty thousand visitors a year

1:09:54.560 --> 1:09:56.120
<v Speaker 21>and this is in the middle of nowhere, as you

1:09:56.240 --> 1:10:00.360
<v Speaker 21>just mentioned other why Yeah, and it's all very high

1:10:00.400 --> 1:10:05.439
<v Speaker 21>income and networth people. It goes from twenty thousand people

1:10:05.479 --> 1:10:07.840
<v Speaker 21>living there in Punta de les De and Garson to

1:10:08.000 --> 1:10:10.760
<v Speaker 21>two million tourists around New Years. It's a lot and

1:10:10.840 --> 1:10:14.200
<v Speaker 21>a lot of them are celebrities like Clooney or Winneth

1:10:14.200 --> 1:10:16.400
<v Speaker 21>Paltrow or Messi or it's.

1:10:16.360 --> 1:10:18.800
<v Speaker 4>Christ say that's kind of our crew.

1:10:18.880 --> 1:10:21.000
<v Speaker 24>Care well, I'm here to invite you. You have to

1:10:21.040 --> 1:10:21.720
<v Speaker 24>corroborate this.

1:10:21.760 --> 1:10:24.280
<v Speaker 3>Story, right, we only have unfortunately about a minute and

1:10:24.320 --> 1:10:26.559
<v Speaker 3>a half or so left. You did bring in some

1:10:26.600 --> 1:10:29.440
<v Speaker 3>bottles of wine and tell us about.

1:10:29.120 --> 1:10:29.840
<v Speaker 4>What you brought.

1:10:30.200 --> 1:10:35.520
<v Speaker 3>I don't want to mispronounced blasto, tant Alberino, Alvardino.

1:10:35.560 --> 1:10:38.640
<v Speaker 21>It will start with the white wine. Yeah, it's this

1:10:38.720 --> 1:10:42.240
<v Speaker 21>is Alberdino. We are the main grower of Albardino in

1:10:42.320 --> 1:10:45.720
<v Speaker 21>the Americas. It's the white great variety that like the

1:10:45.840 --> 1:10:49.240
<v Speaker 21>Queen of Spain. We have the same kind of granite

1:10:49.240 --> 1:10:52.760
<v Speaker 21>and Atlantic Ocean influence, similar to Galicia. And this is

1:10:52.960 --> 1:10:56.800
<v Speaker 21>actually our best selling wine in the US, perfect for

1:10:56.880 --> 1:10:59.800
<v Speaker 21>summer or the end of the of the spring of

1:10:59.840 --> 1:11:02.200
<v Speaker 21>your top one hundred wine spectator.

1:11:02.920 --> 1:11:05.200
<v Speaker 24>So an awesome valley. This is like a twenty two

1:11:05.280 --> 1:11:06.120
<v Speaker 24>dollars retail.

1:11:06.240 --> 1:11:06.719
<v Speaker 5>That's great.

1:11:06.760 --> 1:11:09.120
<v Speaker 24>So there's a beautiful opportunity there.

1:11:10.479 --> 1:11:12.320
<v Speaker 3>Tell us about the other the reds, which I am

1:11:12.360 --> 1:11:13.839
<v Speaker 3>a red kind of gal.

1:11:13.960 --> 1:11:19.120
<v Speaker 21>Okay, if that's so, this is for you. Uruguay is

1:11:19.439 --> 1:11:23.160
<v Speaker 21>the country of Tanat, like Maulbek would be Argentina. Yeah,

1:11:23.200 --> 1:11:26.360
<v Speaker 21>this is a great variety from southwest France. It's known

1:11:26.400 --> 1:11:29.840
<v Speaker 21>to be rustic and really tannic. We have kind of

1:11:29.960 --> 1:11:34.320
<v Speaker 21>tamed that so it's very fresh and vibrant. And it's

1:11:34.360 --> 1:11:37.760
<v Speaker 21>also been top one hundred Wine Spectator, so we have

1:11:37.880 --> 1:11:43.160
<v Speaker 21>insane accolades. Actually, well there, our son is is one

1:11:43.240 --> 1:11:46.519
<v Speaker 21>the new World Winery of the year. That's among another

1:11:46.640 --> 1:11:47.879
<v Speaker 21>like ten thousand producers.

1:11:47.880 --> 1:11:49.960
<v Speaker 3>I mean those things matter because it really gets people,

1:11:50.000 --> 1:11:52.479
<v Speaker 3>whether it comes up in a surge or people you know,

1:11:52.640 --> 1:11:55.200
<v Speaker 3>gets noticed. I just got about twenty thirty seconds for

1:11:55.320 --> 1:11:56.639
<v Speaker 3>Pilaster tell us about this one.

1:11:56.720 --> 1:11:59.720
<v Speaker 21>So this is our this is our grand one our

1:12:00.600 --> 1:12:04.599
<v Speaker 21>but astors. Actually the soil is the meteorized granite. It

1:12:04.640 --> 1:12:08.040
<v Speaker 21>gives mineralities, so the wines are quite ethereal. We have

1:12:08.080 --> 1:12:10.800
<v Speaker 21>a lot of rainfall, so we have very nice natural

1:12:10.840 --> 1:12:12.200
<v Speaker 21>Asiniti makes your mouth water.

1:12:12.600 --> 1:12:16.160
<v Speaker 4>That was Christian Wiley, Bodega, Garzon's managing director. And be

1:12:16.200 --> 1:12:18.400
<v Speaker 4>sure to check out Ellen McCoy's story on the Bloomberg

1:12:18.400 --> 1:12:20.439
<v Speaker 4>and at Bloomberg dot com on how wine will change

1:12:20.439 --> 1:12:23.280
<v Speaker 4>in twenty twenty six due to everything from climate impacts

1:12:23.280 --> 1:12:25.040
<v Speaker 4>to gen Z's interest in wine bars.

1:12:25.200 --> 1:12:27.200
<v Speaker 3>And that wraps up the weekend edition of Bloomberg Business

1:12:27.200 --> 1:12:29.639
<v Speaker 3>Week from Bloomberg Radio. Thank you for joining us today

1:12:29.680 --> 1:12:32.519
<v Speaker 3>and always, as you have throughout twenty twenty five, We're

1:12:32.520 --> 1:12:34.040
<v Speaker 3>looking forward to more this year.

1:12:34.320 --> 1:12:35.960
<v Speaker 4>I'm Tim Stenebek. Happy New Year.

1:12:35.840 --> 1:12:38.839
<v Speaker 3>Everyone, and I'm Carol Masser. Have a good and safe weekend,

1:12:38.920 --> 1:12:42.679
<v Speaker 3>Peace and prosperity, health and happiness. In twenty twenty six,

1:12:42.760 --> 1:12:45.040
<v Speaker 3>we so look forward to sharing the new year with you.

1:12:45.920 --> 1:12:51.280
<v Speaker 2>This is the Bloomberg Business Week Daily podcast, available on Apple, Spotify,

1:12:51.400 --> 1:12:55.120
<v Speaker 2>and anywhere else you get your podcasts. Listen live weekday

1:12:55.160 --> 1:12:59.160
<v Speaker 2>afternoons from two to five pm Eastern on Bloomberg dot com,

1:12:59.200 --> 1:13:03.439
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1:13:03.479 --> 1:13:06.439
<v Speaker 2>can also watch us live every weekday on YouTube and

1:13:06.640 --> 1:13:08.479
<v Speaker 2>always on the Bloomberg terminal