WEBVTT - Disney Sees Decline in Streaming Subscribers

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<v Speaker 1>This is Bloomberg Business Wait inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Disney shares fauling the most, and I think about six months,

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<v Speaker 2>we definitely saw a bunch of selling today. It was

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<v Speaker 2>really concerns once again about subscribers in its name Sake

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<v Speaker 2>streaming service. They also predicted a wider loss in that

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<v Speaker 2>business this quarter. So let's get to it. Let's talk

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<v Speaker 2>about the quarter. Let's talk about the business. We've got

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<v Speaker 2>a great roundtable. David Trainer is chief executive of New Constructs,

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<v Speaker 2>former stock analyst on Wall Street. He now has a

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<v Speaker 2>robo analyst technology that looks at companies, goes through it

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<v Speaker 2>tells us makes sense about valuation and balance sheets. And

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<v Speaker 2>Mark Douglas is with us, president CEO of A Mountain.

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<v Speaker 2>It's an ad software company really works with brands to

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<v Speaker 2>move into revenue and streaming TV and site visit and

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<v Speaker 2>all this good stuff.

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<v Speaker 3>So it's funked.

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<v Speaker 2>I'm trying to set the stage, so let's get to it. Guys, David,

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<v Speaker 2>I want to start with you your thoughts, just initially

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<v Speaker 2>coming off of Disney, what they said last night on

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<v Speaker 2>the call, what stands out.

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<v Speaker 4>Yeah, I think that Disney is doing the right thing

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<v Speaker 4>and de emphasizing Disney plus. I mean, look, streaming was

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<v Speaker 4>never meant to be a money maker. Netflix has burned billions,

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<v Speaker 4>They've never actually turned a cash profit in the streaming business,

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<v Speaker 4>and I think Disney has rightly recognized that streaming is

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<v Speaker 4>just another way to get customers into the top of

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<v Speaker 4>their funnel so that they can monetize those folks downstream.

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<v Speaker 4>And there are other much more profitable businesses like parks

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<v Speaker 4>and merchandising, And that's a very unique advantage that Disney had.

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<v Speaker 4>They actually make a lot of money and their other

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<v Speaker 4>businesses that they can afford to have streaming as a

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<v Speaker 4>loss leader, whereas Netflix and some of these other pure

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<v Speaker 4>streaming plays cannot.

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<v Speaker 3>So Mark, this is really interesting because I live it right.

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<v Speaker 5>My daughter watches Frozen and Mowana on repeat, and then

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<v Speaker 5>she begs me to take her to the toy store

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<v Speaker 5>and spend much more money on the products from those.

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<v Speaker 2>Two films to go to the Disney Park, and she.

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<v Speaker 5>Wants to go to the parks because of them. So

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<v Speaker 5>what David's saying makes a heck of a lot of

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<v Speaker 5>sense to me. I'm much poorer for the streaming service.

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<v Speaker 6>What do you think, Well, I think ultimately, you know,

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<v Speaker 6>you have to buy products, not stocks, in the sense

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<v Speaker 6>of the stocks that have the best products of what

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<v Speaker 6>you buy. Consumers want streaming.

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<v Speaker 4>So I don't.

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<v Speaker 6>Quite agree the idea that Disney should move away from

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<v Speaker 6>what its customers want. They want on demand content. They

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<v Speaker 6>want a big choice in the content. And I think

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<v Speaker 6>Disney and other companies they figured out how to make

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<v Speaker 6>that profitable on linear television, and I think there's no

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<v Speaker 6>reason they won't figure out how to do that profitably

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<v Speaker 6>on streaming. Definitely going through a transition, and that trend

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<v Speaker 6>from linear to streaming, and that transition has a lot of.

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<v Speaker 4>Costs associated with it.

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<v Speaker 6>But if you want to be involved in Disney long term,

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<v Speaker 6>you have to believe in all the process of streaming products,

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<v Speaker 6>the park products, the cruise products you know, and all

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<v Speaker 6>the other you know, ESPN and all of that. So

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<v Speaker 6>I think streaming is potentially the most important part of

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<v Speaker 6>Disney because the migration from linear to TV is on

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<v Speaker 6>the level of a million.

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<v Speaker 4>Households and more, well to be a size of Phoenix.

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<v Speaker 2>David, comeback, are you saying Disney should be out of

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<v Speaker 2>streaming or that you say it makes sense but it's

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<v Speaker 2>because it's a funnel into everything else.

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<v Speaker 4>Yeah, yeah, I think I think we're really on the

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<v Speaker 4>same pagtreot. I'm not saying that they should get rid

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<v Speaker 4>of it. I think that they should be emphasized and

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<v Speaker 4>not throw you know, money after like crazy like Netflix

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<v Speaker 4>hit for years, right, and for the Netflix is Netflix

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<v Speaker 4>and salesforce. These original business models that were built on

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<v Speaker 4>an unlimited amount of capital to burn and the hopes

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<v Speaker 4>of building a large enough customer base that they could

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<v Speaker 4>eventually monetize that in a profitable way. That's not working

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<v Speaker 4>for either business. And I think the good news is

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<v Speaker 4>that Disney's not trying to do that. They do need it.

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<v Speaker 4>It is a new channel. There's no question streaming around

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<v Speaker 4>to stay, for sure, But don't go chasing streaming to

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<v Speaker 4>the point where you're trying to acquire unprofitable customers.

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<v Speaker 3>But well, you do think it's a loss leader though, right, David.

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<v Speaker 5>So you think, for example, investors sell the stock when

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<v Speaker 5>they see subscriber numbers fall, streaming subscriber numbers fall, and

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<v Speaker 5>you're saying, Hey, those subscribers are expensive as hell, so

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<v Speaker 5>if I see a few of them fall away in

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<v Speaker 5>a quarter or two, it's not going to bother me.

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<v Speaker 4>That's exactly what I'm saying. So I'm saying because a

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<v Speaker 4>lot of these losses were in India and non US,

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<v Speaker 4>and those are the least profitable customers. They're money losers,

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<v Speaker 4>and so it's just time to get rational in the business.

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<v Speaker 4>Because Netflix set an example being so irrational because they

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<v Speaker 4>were using capital as a weapon, which that they could

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<v Speaker 4>spend a limited amount of money to just go acquire

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<v Speaker 4>customers for the sake of showing customer growth. Remember when

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<v Speaker 4>everyone talked about Netflix, it was always about customer growth

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<v Speaker 4>and nothing about profits. Right now we're talking about profits,

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<v Speaker 4>and so they're boasting customer declines. And that's because you

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<v Speaker 4>shouldn't chase unfowful customers. That doesn't mean the channel goes away,

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<v Speaker 4>it just means it becomes more raptional.

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<v Speaker 5>Now Netflix is actually up today or was up in

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<v Speaker 5>the in the cash session, almost three percent. And I

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<v Speaker 5>don't want to completely, you know, change the subject of

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<v Speaker 5>the conversation here, But Mark Douglas, do you think Netflix

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<v Speaker 5>still has a future? I mean, I think I believe

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<v Speaker 5>that David's position is Netflix is going to cash burn

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<v Speaker 5>itself out. Do you think Netflix is going to be

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<v Speaker 5>able to cut costs and make money at some point

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<v Speaker 5>because they haven't really generated free cash flow thus far.

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<v Speaker 6>Yeah, I mean, I think there's definitely, given this scale,

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<v Speaker 6>the opportunity to cut costs. I agree with what's being

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<v Speaker 6>said in terms of different markets have different unit economics

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<v Speaker 6>and you kind of have to make a clear choice

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<v Speaker 6>as to which of those economics that you want to pursue.

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<v Speaker 6>I think the big thing for Netflix is how all

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<v Speaker 6>in are they going to go in terms of ad

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<v Speaker 6>supported model, and you know, if they the streaming model,

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<v Speaker 6>the unit economics at least in some markets, you know

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<v Speaker 6>right that it's it hasn't been the greatest, but the

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<v Speaker 6>opportunity to sell ads against that content I think is

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<v Speaker 6>a boost to the brand. It brings in more of

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<v Speaker 6>those subscribers, and even with their core subscribers, I mean,

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<v Speaker 6>there's an opportunity to essentially do price increases through you know,

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<v Speaker 6>basically the inclusion of ads at some point and maybe

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<v Speaker 6>you trade you know, a dollar or two dollars a

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<v Speaker 6>discount for five, six, seven dollars more of revenue over

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<v Speaker 6>the month. But these things are hard to do, and

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<v Speaker 6>I think I completely agree that the obsession with subscribers

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<v Speaker 6>it needs to stop. I think people actually want that

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<v Speaker 6>because it's a reason to get the stock to swing

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<v Speaker 6>and generate profits for short term traded.

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<v Speaker 2>David, you've got this natural language processing technology formula. You

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<v Speaker 2>can really look at Disney earnings, the quality of those earnings,

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<v Speaker 2>you know, and against its current valuation. When you do that, David,

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<v Speaker 2>what does it tell you about Disney?

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<v Speaker 4>Well, Disney's economics are are the worst they've been in

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<v Speaker 4>a while. You know. Look, I think the double whammy

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<v Speaker 4>of the Fox acquisition in COVID was rough, and you

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<v Speaker 4>know this, but we are seeing the margins and returnsal

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<v Speaker 4>capital turning back up. I think with Bob Eiger back

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<v Speaker 4>in charge, we could expect to see that trend continue.

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<v Speaker 4>And that's why we're bullish. We think if returnsal capital

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<v Speaker 4>get back to half of where they were, the stock's

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<v Speaker 4>easily one hundred and thirty dollars stock.

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<v Speaker 2>Mark ESPN streaming. How valuable is that? Because you know

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<v Speaker 2>that there's been pressure on Disney to kind of kick

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<v Speaker 2>it out as a separate entity.

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<v Speaker 7>Yeah, I think.

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<v Speaker 6>I think it's critical to the brand. I mean, the

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<v Speaker 6>one thing everyone should remember. More people want television a day,

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<v Speaker 6>then use social media, and they spend three times as

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<v Speaker 6>much time doing it too. They spend fifty nine minutes

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<v Speaker 6>a day on TikTok and met they spake three hours

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<v Speaker 6>a day on television. So, you know, the Disney brand

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<v Speaker 6>is built on the broad appeal or a lot of consumers.

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<v Speaker 6>A lot of that appeal starts with those television assets,

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<v Speaker 6>those movie assets, so they're really critical to brand. I

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<v Speaker 6>actually think long term, the biggest risk to Disney is

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<v Speaker 6>the brand is associated with being magical, and they need

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<v Speaker 6>to maintain that magic in terms of everything they're doing.

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<v Speaker 6>So they have to balance the short term cust cutting

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<v Speaker 6>with maintaining the magic, to maintain the price points that

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<v Speaker 6>they have like at Disneyland and with all these products,

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<v Speaker 6>and maybe over time with the subscription services. I think

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<v Speaker 6>it's really critical for the long term health of the

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<v Speaker 6>Disney brand.

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<v Speaker 2>All right, guys, we got to leave it on that note,

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<v Speaker 2>and they get to complain about ESPN Plus, Well, you know,

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<v Speaker 2>we'll save that for next blog.

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<v Speaker 5>Okay, I just want to complaycause I don't get to

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<v Speaker 5>see enough good games on ESPN plus not on cable.

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<v Speaker 2>Well me, is it Friday yet? David Trainer over at

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<v Speaker 2>New Constructs, Smart Douglas at Mountain, We really appreciate you, Johnny,

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<v Speaker 2>Matt and myself. You are listening and watching Bloomberg Business Week,

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<v Speaker 2>and this is Bloomberg Radio.

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<v Speaker 1>If you're listening to the Bloomberg Business Week podcast, catch

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<v Speaker 2>We're going to take a step back from the markets

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<v Speaker 2>for a moment to something I think it's safe to

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<v Speaker 2>say that most of us have dealt with in our

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<v Speaker 2>lives on some level, and that is hearing loss. That

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<v Speaker 2>two to three out of every one thousand children in

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<v Speaker 2>the US are born with the detectable level of hearing

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<v Speaker 2>loss in one or both ears. More than ninety percent

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<v Speaker 2>of deaf children are born to hearing parents, and roughly

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<v Speaker 2>fifteen percent of American adults. We're talking about more than

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<v Speaker 2>thirty seven million age eighteen and over. Report some trouble hearing,

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<v Speaker 2>so it's a big issue. So we want to to

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<v Speaker 2>get to it with doctor Kerrie Neman, core faculty member

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<v Speaker 2>for the Coochlear Center for Hearing in Public Health at

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<v Speaker 2>the Johns Hopkins Bloomberg School of Public Health, supported by

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<v Speaker 2>Michael R. Bloomberg, Founder of course at Bloomberg Elpy and

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<v Speaker 2>Bloomberg Philanthropies. She is with us on Zoom from Bethesda, Maryland.

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<v Speaker 2>Doctor Neman, it is so nice to have you here

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<v Speaker 2>with Matt and myself. It is a big issue. I

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<v Speaker 2>certainly dealt with it with my aging dad went through

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<v Speaker 2>hearing aids. It wasn't always such an easy process. But

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<v Speaker 2>talk to us a little bit about it.

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<v Speaker 3>Why I'm so loud by the way you are loud, man.

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<v Speaker 5>Because well I know, but all joking aside, right, It's

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<v Speaker 5>because I have pretty significant hearing loss.

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<v Speaker 3>And over time I just don't afore myself as well.

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<v Speaker 5>Are you born with no I just ruined my hearing

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<v Speaker 5>in my teenage years and as a result, I guess

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<v Speaker 5>you know, it's the same thing happened to my dad, So

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<v Speaker 5>it could be genetic genetic to some extent.

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<v Speaker 2>Doctor Nemen, come on in and kind of set the

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<v Speaker 2>stage for us because it apparently, like I said, it

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<v Speaker 2>affects a lot of us.

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<v Speaker 8>Yeah, exactly, exactly. We almost all of us at some

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<v Speaker 8>point in time are going to experience some degree of

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<v Speaker 8>hearing loss. The thing that I think has really shifted

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<v Speaker 8>and changed in the past ten to fifteen years is

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<v Speaker 8>now how we think about hearing loss. We really no

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<v Speaker 8>longer think about it as this just benign part of

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<v Speaker 8>the aging process. It is, you know, something that we

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<v Speaker 8>view and need to view right in the context of

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<v Speaker 8>healthy aging. So if we all want a shot at

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<v Speaker 8>aging as well as possible, it needs to be kind

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<v Speaker 8>of in that long list of things that we're all

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<v Speaker 8>thinking about as we age.

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<v Speaker 5>So how do people deal with it if they have

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<v Speaker 5>less money? You know, my mother in law, who lives

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<v Speaker 5>in Spain, which is a socialist country, just spent four

0:11:42.160 --> 0:11:45.200
<v Speaker 5>thousand euros to buy hearing aids and I was so

0:11:46.800 --> 0:11:49.680
<v Speaker 5>you know, impressed with the price. I just couldn't believe

0:11:49.720 --> 0:11:51.960
<v Speaker 5>it is that how much that kind of gear costs.

0:11:52.040 --> 0:11:53.600
<v Speaker 2>That's kind of what it caused my dad, I think too.

0:11:53.760 --> 0:11:54.439
<v Speaker 9>Yeah, it's crazy.

0:11:54.480 --> 0:11:56.800
<v Speaker 8>Yeah, And that is Yeah, that's certainly in line with

0:11:56.880 --> 0:11:59.720
<v Speaker 8>what we see and what we've traditionally seen. The thing

0:11:59.760 --> 0:12:03.480
<v Speaker 8>that has shifted in this you really past year or

0:12:03.520 --> 0:12:06.400
<v Speaker 8>so is the advent and the opening of over the

0:12:06.400 --> 0:12:09.360
<v Speaker 8>counter hearing aids into the market. And so that's one

0:12:09.400 --> 0:12:11.960
<v Speaker 8>important piece of the puzzle in terms of how do

0:12:12.000 --> 0:12:15.040
<v Speaker 8>we make hearing care more affordable, is by bringing the

0:12:15.080 --> 0:12:17.640
<v Speaker 8>technology side of things down in terms of opening up

0:12:17.679 --> 0:12:20.280
<v Speaker 8>that market and so it's not dominated just by a

0:12:20.280 --> 0:12:24.040
<v Speaker 8>few kind of players, but opening up to consumer electronics

0:12:24.040 --> 0:12:26.320
<v Speaker 8>and many others to enter. But I think the important

0:12:26.320 --> 0:12:28.679
<v Speaker 8>piece here is, yes, we have technology, but how do

0:12:28.720 --> 0:12:31.920
<v Speaker 8>we connect older adults to that technology? And that's a

0:12:31.960 --> 0:12:34.280
<v Speaker 8>lot of the work that I do in partnership with

0:12:34.320 --> 0:12:37.240
<v Speaker 8>community partners and particular community health workers.

0:12:37.600 --> 0:12:39.520
<v Speaker 2>Yeah, and only I wonder if this is going to

0:12:39.600 --> 0:12:42.960
<v Speaker 2>be in the budget talks. I'm guessing not necessarily like

0:12:43.160 --> 0:12:45.760
<v Speaker 2>spending on this or providing I say that I'm bringing

0:12:45.760 --> 0:12:48.000
<v Speaker 2>that up because the headline is crossed. President Biden's meeting

0:12:48.000 --> 0:12:51.520
<v Speaker 2>with congressional leaders on the debt ceiling has been postponed.

0:12:51.600 --> 0:12:54.280
<v Speaker 2>So it goes on business as usual sometimes if you will,

0:12:54.320 --> 0:12:57.120
<v Speaker 2>when it comes to Washington. But doctor Nieman, no, I

0:12:57.160 --> 0:12:59.400
<v Speaker 2>do think about this right like it is so expensive,

0:12:59.400 --> 0:13:01.880
<v Speaker 2>and you do want what we're doing to somehow make

0:13:01.920 --> 0:13:05.040
<v Speaker 2>it more affordable or is there something the government can do.

0:13:05.080 --> 0:13:06.720
<v Speaker 2>I don't know what's the answer here. What do you

0:13:06.720 --> 0:13:07.560
<v Speaker 2>How do you guys.

0:13:07.320 --> 0:13:07.880
<v Speaker 6>Look at it?

0:13:08.320 --> 0:13:10.240
<v Speaker 8>How we look at it is you know, we have

0:13:10.400 --> 0:13:12.200
<v Speaker 8>this kind of new piece in terms of over the

0:13:12.200 --> 0:13:15.240
<v Speaker 8>counterhearing technology, but it can be really hard to navigate

0:13:15.280 --> 0:13:17.440
<v Speaker 8>in terms of where in the world you even start

0:13:17.640 --> 0:13:20.640
<v Speaker 8>in terms of googling versus you know, going to an

0:13:20.640 --> 0:13:23.160
<v Speaker 8>audiologist versus going to an E ANDT your primary care doctor.

0:13:23.400 --> 0:13:25.000
<v Speaker 8>You know, where do we start? And so a lot

0:13:25.000 --> 0:13:26.960
<v Speaker 8>of the work that we've done is saying, you know,

0:13:27.000 --> 0:13:29.560
<v Speaker 8>how can we make this as easy as possible in

0:13:29.640 --> 0:13:33.080
<v Speaker 8>terms of partnering with individuals in a community setting who

0:13:33.160 --> 0:13:35.880
<v Speaker 8>can go through kind of a structured way in which

0:13:35.920 --> 0:13:38.760
<v Speaker 8>they introduce somebody to a piece of technology and say, hey,

0:13:38.920 --> 0:13:40.719
<v Speaker 8>this is how you learn how to use it. This

0:13:40.760 --> 0:13:42.439
<v Speaker 8>is how we can get you set up and going.

0:13:42.920 --> 0:13:45.760
<v Speaker 8>And you know, we have seen results in our work

0:13:46.480 --> 0:13:49.800
<v Speaker 8>that are comparable to what we see with gold standard hearing.

0:13:49.880 --> 0:13:52.280
<v Speaker 8>It's fit by an audiologist and that's you know done.

0:13:52.400 --> 0:13:55.120
<v Speaker 8>You know, in a community setting, in partnership with community

0:13:55.120 --> 0:13:58.400
<v Speaker 8>health worker two hours using over the counterhearing technology. And

0:13:58.480 --> 0:14:00.640
<v Speaker 8>so it's not only just the technology, but it's an

0:14:00.679 --> 0:14:03.040
<v Speaker 8>openness to kind of new and different models of care

0:14:03.200 --> 0:14:04.800
<v Speaker 8>that are going to need to come alongside.

0:14:04.920 --> 0:14:08.400
<v Speaker 3>So talk to us about the gear. The basic setup

0:14:08.480 --> 0:14:10.000
<v Speaker 3>is how much does it cost?

0:14:10.480 --> 0:14:13.959
<v Speaker 5>Is it just like an amplifier that you know, makes

0:14:14.040 --> 0:14:18.120
<v Speaker 5>the sounds in your in your atmosphere louder and.

0:14:18.200 --> 0:14:20.880
<v Speaker 3>Can you get it at you know CVS or Dwayne Reed?

0:14:21.000 --> 0:14:21.440
<v Speaker 3>What is this?

0:14:21.640 --> 0:14:23.760
<v Speaker 8>Yeah, yeap one hundred percent. So there are a lot

0:14:23.800 --> 0:14:27.760
<v Speaker 8>of different options available. There are options that look like

0:14:28.040 --> 0:14:31.200
<v Speaker 8>a headset that can be you know, user friendly for

0:14:31.360 --> 0:14:34.240
<v Speaker 8>individuals who've you know, had a stroke or have bad arthritis,

0:14:34.320 --> 0:14:36.760
<v Speaker 8>and those can run around just one hundred dollars and

0:14:36.800 --> 0:14:39.480
<v Speaker 8>they can work really well. But then there's obviously a

0:14:39.520 --> 0:14:42.320
<v Speaker 8>lot of other devices that are at your level that

0:14:42.440 --> 0:14:45.120
<v Speaker 8>look like you're traditional hearing aid and those are going

0:14:45.200 --> 0:14:48.720
<v Speaker 8>to run more in line with around three hundred four

0:14:48.800 --> 0:14:51.440
<v Speaker 8>hundred for one side for one ear, So that is

0:14:51.600 --> 0:14:54.200
<v Speaker 8>certainly some money, but it is definitely an improvement from

0:14:54.240 --> 0:14:56.320
<v Speaker 8>the four thousand dollars. You know, hearing is that you

0:14:56.400 --> 0:14:58.880
<v Speaker 8>may get, you know, through your audiologists or your n T.

0:14:59.240 --> 0:15:01.320
<v Speaker 2>Can you just do one the year? I guess you can, right, like,

0:15:01.360 --> 0:15:03.640
<v Speaker 2>if you just have pressure? Yeah, what if you I

0:15:03.640 --> 0:15:04.560
<v Speaker 2>mean if you kidding?

0:15:04.600 --> 0:15:06.080
<v Speaker 9>Ideally, yeah, go ahead.

0:15:05.840 --> 0:15:08.160
<v Speaker 8>Yeah, ideally, Ideally it's two. You know, but if we

0:15:08.200 --> 0:15:11.840
<v Speaker 8>were talking about nothing versus something, we'll always take something,

0:15:11.920 --> 0:15:13.800
<v Speaker 8>and one is always better than none.

0:15:14.000 --> 0:15:16.120
<v Speaker 3>What about people born with hearing loss?

0:15:16.120 --> 0:15:18.760
<v Speaker 5>You know I did years ago, I did a piece

0:15:18.760 --> 0:15:22.320
<v Speaker 5>on cochlear implants for the deaf, and there was some

0:15:22.480 --> 0:15:25.280
<v Speaker 5>debate in the community about whether or not that was

0:15:25.320 --> 0:15:28.560
<v Speaker 5>even a good idea because they don't and they don't

0:15:28.560 --> 0:15:31.560
<v Speaker 5>want to really accept deafness as being something that needs

0:15:31.560 --> 0:15:33.560
<v Speaker 5>to be fixed. On the other hand, we had a

0:15:33.600 --> 0:15:36.080
<v Speaker 5>guest the other day who's had ninety percent hearing loss

0:15:36.080 --> 0:15:37.680
<v Speaker 5>in his left ear since he was born, and he

0:15:37.760 --> 0:15:41.160
<v Speaker 5>went and got a cochlear implant that he.

0:15:40.960 --> 0:15:43.280
<v Speaker 3>Says has just changed his life for the better.

0:15:43.440 --> 0:15:44.520
<v Speaker 2>So recently got it.

0:15:44.640 --> 0:15:46.800
<v Speaker 5>Yeah, and he's sixty five years old, and he finally said,

0:15:46.800 --> 0:15:49.200
<v Speaker 5>you know what, it's time. The technology is there and

0:15:49.240 --> 0:15:51.040
<v Speaker 5>he's bald anyway, so he just went and got one.

0:15:51.880 --> 0:15:55.120
<v Speaker 8>Yeah. No, so good question. A lot of what our

0:15:55.200 --> 0:15:58.200
<v Speaker 8>work is focused on from kind of a public health

0:15:58.240 --> 0:16:01.400
<v Speaker 8>perspective is really based on on the numbers in terms

0:16:01.440 --> 0:16:04.760
<v Speaker 8>of you know, for sure there you know, we have

0:16:04.840 --> 0:16:08.320
<v Speaker 8>individuals who are deaf heart of hearing, who are born deaf,

0:16:08.760 --> 0:16:11.320
<v Speaker 8>but that does represent a fairly small portion of the

0:16:11.360 --> 0:16:13.520
<v Speaker 8>population in terms of you know, those numbers you were

0:16:13.520 --> 0:16:15.680
<v Speaker 8>citing in terms of in the millions. You know though,

0:16:16.240 --> 0:16:18.880
<v Speaker 8>that's primarily age related hearing loss, and most of that

0:16:19.000 --> 0:16:21.520
<v Speaker 8>is mild and moderate and so solidly in the realm

0:16:21.640 --> 0:16:24.200
<v Speaker 8>of individuals who generally want to stay within the hearing

0:16:24.240 --> 0:16:28.200
<v Speaker 8>world and are are looking for assistance and don't yet

0:16:28.240 --> 0:16:30.920
<v Speaker 8>qualified for cochlear implant. So it's really that group of

0:16:30.960 --> 0:16:33.400
<v Speaker 8>individuals that we're looking, you know, that over the counter

0:16:33.440 --> 0:16:35.600
<v Speaker 8>hearing aids and kind of these new and different delivery

0:16:35.680 --> 0:16:37.720
<v Speaker 8>models are looking to help address.

0:16:37.800 --> 0:16:38.440
<v Speaker 3>Before we go.

0:16:38.600 --> 0:16:40.960
<v Speaker 2>And I'm thinking about this having dealt with you know,

0:16:41.040 --> 0:16:45.120
<v Speaker 2>aging parents and aging family members, the connection between hearing

0:16:45.200 --> 0:16:48.080
<v Speaker 2>loss and depression or dementia for that fat matter.

0:16:48.760 --> 0:16:51.800
<v Speaker 8>Yeah, so great question. There have been a lot of

0:16:52.120 --> 0:16:55.840
<v Speaker 8>large population based studies that have seen an association and

0:16:55.920 --> 0:17:00.320
<v Speaker 8>really kind of repeatedly in association between things like hearing loss, mensia,

0:17:00.360 --> 0:17:01.359
<v Speaker 8>cognitive decline.

0:17:01.680 --> 0:17:03.400
<v Speaker 9>But the big.

0:17:03.200 --> 0:17:05.480
<v Speaker 8>Question that really remains for a lot of us in

0:17:05.520 --> 0:17:08.959
<v Speaker 8>the scientific realm, is have we seen data that shows

0:17:09.080 --> 0:17:11.879
<v Speaker 8>us that if we take somebody who you know, maybe

0:17:11.960 --> 0:17:14.760
<v Speaker 8>doesn't have a depression or you know, doesn't have dementia,

0:17:14.800 --> 0:17:18.400
<v Speaker 8>and you know, give them a hearing aid, can we

0:17:18.560 --> 0:17:20.919
<v Speaker 8>slow that cognitive cline or can we you know, improve

0:17:20.960 --> 0:17:24.720
<v Speaker 8>their depression and do that in kind of a structured,

0:17:24.800 --> 0:17:28.240
<v Speaker 8>rigorous fashion. And so that is happening and ongoing right

0:17:28.280 --> 0:17:30.280
<v Speaker 8>now in terms of some of the larger trials, and

0:17:30.320 --> 0:17:32.639
<v Speaker 8>we're really excitedly waiting the results of that, which are

0:17:32.680 --> 0:17:35.200
<v Speaker 8>expected out this year in terms of twenty twenty three,

0:17:35.240 --> 0:17:37.240
<v Speaker 8>so a lot more to come there. But that's exactly

0:17:37.320 --> 0:17:39.520
<v Speaker 8>the type of thing that we're thinking about when we're

0:17:39.520 --> 0:17:41.199
<v Speaker 8>saying hearing loss matters.

0:17:41.720 --> 0:17:44.200
<v Speaker 2>Well, so appreciate catching up with you. Thank you so much.

0:17:44.200 --> 0:17:48.639
<v Speaker 2>Really important, certainly, doctor carry Neiman. She's core faculty member

0:17:49.119 --> 0:17:51.600
<v Speaker 2>of the Cochlear Center for Hearing in Public Health at

0:17:51.640 --> 0:17:53.840
<v Speaker 2>the Johns Hopkins Bloomberg School of Public Health, as we

0:17:54.080 --> 0:17:56.800
<v Speaker 2>remind you, supported by Michael R. Bloomberg, founder at Bloomberg

0:17:56.880 --> 0:17:59.320
<v Speaker 2>LP and Bloomberg Philanthropies. But so do you ever think

0:17:59.320 --> 0:18:01.400
<v Speaker 2>about that you might hearing needs at some point, I.

0:18:01.359 --> 0:18:05.200
<v Speaker 5>Think I definitely will. You know, my dad has gotten them.

0:18:05.440 --> 0:18:07.840
<v Speaker 5>And I think it's interesting that you bring up the

0:18:07.840 --> 0:18:12.080
<v Speaker 5>connection between hearing loss and dementia or hearing loss and depression,

0:18:12.160 --> 0:18:17.359
<v Speaker 5>because I have seen that firsthand and the turnaround is

0:18:17.480 --> 0:18:21.280
<v Speaker 5>pretty marvelous. So I think people just don't think about

0:18:21.320 --> 0:18:23.240
<v Speaker 5>it and they don't make time to go and deal

0:18:23.280 --> 0:18:25.600
<v Speaker 5>with this kind of thing because they think I can't

0:18:25.600 --> 0:18:27.560
<v Speaker 5>hear that. Very well, no big deal. It is a

0:18:27.560 --> 0:18:29.280
<v Speaker 5>big deal, and it's better if you take care of.

0:18:29.240 --> 0:18:31.639
<v Speaker 2>It because you're really, you know, kind of excluded if

0:18:31.680 --> 0:18:35.280
<v Speaker 2>you can't hear, and so it's it's a really important issue.

0:18:36.560 --> 0:18:40.119
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:18:40.160 --> 0:18:44.200
<v Speaker 1>live weekday afternoons from three to six Easter on Bloomberg Radio,

0:18:44.400 --> 0:18:47.679
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0:18:47.760 --> 0:18:50.879
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0:18:51.320 --> 0:18:56.080
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0:18:55.920 --> 0:18:59.320
<v Speaker 2>To talk to a company and to its head. They

0:18:59.359 --> 0:19:02.199
<v Speaker 2>actually reported earnings this week. They are about a two

0:19:02.200 --> 0:19:05.159
<v Speaker 2>point nine billion dollar market cap app, location, software and

0:19:05.200 --> 0:19:08.080
<v Speaker 2>cloud company. We're talking about Digital Ocean Holdings, first quarter

0:19:08.119 --> 0:19:11.479
<v Speaker 2>revenues met estimates. As for the overall report, though Barkley

0:19:11.480 --> 0:19:14.000
<v Speaker 2>said the results were somewhat mixed and we're looking at

0:19:14.040 --> 0:19:16.360
<v Speaker 2>a stock that's up about twenty five percent so far

0:19:16.920 --> 0:19:20.359
<v Speaker 2>here in twenty twenty three. Yancy Sproul is CEO at

0:19:20.400 --> 0:19:24.080
<v Speaker 2>Digital Ocean, joining us on Zoom from Boulder, Colorado. Yancey,

0:19:24.119 --> 0:19:25.840
<v Speaker 2>it is nice to have you here with Matt and

0:19:25.880 --> 0:19:28.679
<v Speaker 2>myself before we start and get into the quarter in

0:19:28.720 --> 0:19:32.520
<v Speaker 2>the business, just remind our world exactly what you guys do.

0:19:32.560 --> 0:19:34.600
<v Speaker 2>Application software covers an awful.

0:19:34.359 --> 0:19:37.399
<v Speaker 7>Lot, that's sure does and great to be with you.

0:19:37.800 --> 0:19:40.720
<v Speaker 7>We're a cloud infrastructure company, which means we have a

0:19:40.760 --> 0:19:46.199
<v Speaker 7>dispersed set of computer and other storage assets around the world,

0:19:46.359 --> 0:19:50.160
<v Speaker 7>and we rent access to the nearly seven hundred thousand

0:19:50.160 --> 0:19:53.040
<v Speaker 7>customers around the world one hundred and eighty five countries,

0:19:53.440 --> 0:19:56.480
<v Speaker 7>and so they can rent access to our cloud infrastructure

0:19:56.720 --> 0:20:01.560
<v Speaker 7>to achieve their compute needs versus owning their own computer

0:20:01.880 --> 0:20:03.520
<v Speaker 7>equipment around the world.

0:20:03.560 --> 0:20:06.320
<v Speaker 2>So a lot of them startups, a lot of them startups.

0:20:06.800 --> 0:20:07.080
<v Speaker 1>Yeah.

0:20:07.119 --> 0:20:11.320
<v Speaker 7>We we focused mainly on early stage businesses, so people

0:20:11.320 --> 0:20:16.360
<v Speaker 7>who have ideas, developers who are testing ideas and they

0:20:16.480 --> 0:20:18.920
<v Speaker 7>graduate into about one hundred and forty thousand of those

0:20:18.920 --> 0:20:23.920
<v Speaker 7>seven hundred thousand customers are running small emerging startup businesses

0:20:24.520 --> 0:20:27.439
<v Speaker 7>on the platform. And why they come to us is

0:20:27.480 --> 0:20:31.320
<v Speaker 7>it's simple, easy, intuitive to use. We provide a lot

0:20:31.320 --> 0:20:33.480
<v Speaker 7>of support and documentation.

0:20:33.560 --> 0:20:35.639
<v Speaker 2>And they don't have to spend on it.

0:20:35.680 --> 0:20:38.960
<v Speaker 7>Then, right, Yeah, and then the last piece is it's cheap,

0:20:39.280 --> 0:20:41.560
<v Speaker 7>you know, relative to other alternatives.

0:20:42.240 --> 0:20:44.679
<v Speaker 5>So yeah, how do you how do you how do

0:20:44.680 --> 0:20:46.560
<v Speaker 5>you keep it cheap relative the alternatives?

0:20:46.560 --> 0:20:50.080
<v Speaker 3>Could you? I would imagine scale allows costs to be dropped.

0:20:50.160 --> 0:20:52.639
<v Speaker 3>So what do you do to fight?

0:20:54.640 --> 0:20:56.719
<v Speaker 7>Yeah, we we certainly don't have the scale of some

0:20:56.760 --> 0:21:01.320
<v Speaker 7>of the Microsoft et cetera. Those but you know, we

0:21:02.200 --> 0:21:06.560
<v Speaker 7>are very large customers of some large hardware providers. And

0:21:06.680 --> 0:21:09.080
<v Speaker 7>you know we over this eleven year history of our

0:21:09.119 --> 0:21:14.000
<v Speaker 7>company have become very good operators. We're getting better over

0:21:14.080 --> 0:21:18.840
<v Speaker 7>time and also so that's important operational excellence and that's

0:21:18.840 --> 0:21:21.640
<v Speaker 7>an ongoing thing. The other thing is we are very

0:21:21.960 --> 0:21:27.520
<v Speaker 7>tailored our product applications to a narrow set of customers,

0:21:27.560 --> 0:21:32.360
<v Speaker 7>which is the SMB small medium sized businesses early stage startups,

0:21:32.720 --> 0:21:35.480
<v Speaker 7>which is about one hundred billion dollar market size. It's

0:21:35.480 --> 0:21:39.680
<v Speaker 7>a much smaller market than the than the big players

0:21:39.960 --> 0:21:43.280
<v Speaker 7>play that focus on enterprise. So because we are focused

0:21:43.280 --> 0:21:46.320
<v Speaker 7>on a smaller end of the market, simplicity of the

0:21:46.359 --> 0:21:49.359
<v Speaker 7>product set allows us to not have to invest in

0:21:49.400 --> 0:21:53.119
<v Speaker 7>a broad diverse set of applications to cover the breadth

0:21:53.160 --> 0:21:56.600
<v Speaker 7>of an enterprise market, and that keeps costs down as well,

0:21:56.640 --> 0:21:59.439
<v Speaker 7>because we can be very focused in our applications that

0:21:59.480 --> 0:22:00.359
<v Speaker 7>we offer customers.

0:22:00.520 --> 0:22:05.800
<v Speaker 2>Yeah, what impact have you seen in your demand flows

0:22:05.840 --> 0:22:08.399
<v Speaker 2>if you will, coming off of the collapse of Silicon

0:22:08.480 --> 0:22:10.520
<v Speaker 2>Valley Bank, if you're working with startups in that space,

0:22:10.560 --> 0:22:12.120
<v Speaker 2>I'm just curious what impact you've seen.

0:22:13.040 --> 0:22:17.440
<v Speaker 7>Well, I wouldn't say, you know, one of the things

0:22:17.480 --> 0:22:21.199
<v Speaker 7>we've seen over the last year is a slowing in

0:22:21.240 --> 0:22:24.119
<v Speaker 7>the broader economy. I don't know that we've seen any

0:22:24.240 --> 0:22:28.399
<v Speaker 7>change over the last six weeks since that bank. Seventy

0:22:28.440 --> 0:22:32.200
<v Speaker 7>percent of our customers are outside of the United States.

0:22:31.440 --> 0:22:37.040
<v Speaker 7>Most of our customers are bootstraps. You know, they have

0:22:37.119 --> 0:22:39.600
<v Speaker 7>a day job and then they start a business at night,

0:22:39.680 --> 0:22:42.119
<v Speaker 7>and when it gets of scale they can pay for

0:22:42.160 --> 0:22:45.120
<v Speaker 7>their own bills. They quit their day job. So they're

0:22:45.119 --> 0:22:48.880
<v Speaker 7>not part of that institutional capital market. So we didn't

0:22:48.920 --> 0:22:52.320
<v Speaker 7>see we saw very little impact, had very little exposure

0:22:52.600 --> 0:22:55.760
<v Speaker 7>both directly as a business but also in terms of

0:22:55.800 --> 0:22:58.720
<v Speaker 7>our customers, and saw no real disruption you know, over

0:22:58.720 --> 0:23:00.680
<v Speaker 7>the last couple of months as that's all played out.

0:23:01.359 --> 0:23:04.679
<v Speaker 5>So I imagine you have server farms, probably in more than

0:23:04.720 --> 0:23:07.520
<v Speaker 5>one location. Talk to us about where you set up

0:23:07.560 --> 0:23:11.359
<v Speaker 5>your gear and what kind of energy bills do you pay.

0:23:12.280 --> 0:23:15.720
<v Speaker 5>You know, we've seen the cost really fluctuate, but last summer,

0:23:15.720 --> 0:23:17.280
<v Speaker 5>for example, very expensive.

0:23:18.880 --> 0:23:25.680
<v Speaker 7>Well, we're in fifty different locations around the world New York, Singapore, Frankfurt, Sydney, Toronto,

0:23:25.800 --> 0:23:28.840
<v Speaker 7>San Francisco, India, Bangalore, India.

0:23:28.920 --> 0:23:30.880
<v Speaker 3>All right, you don't have a name them all, Yancy, all.

0:23:30.840 --> 0:23:34.600
<v Speaker 7>Right, So we're all over the place and we serve

0:23:34.680 --> 0:23:38.480
<v Speaker 7>customers all over. We have a very very high capability

0:23:39.720 --> 0:23:45.760
<v Speaker 7>in network and you know power energy is a big cost.

0:23:46.920 --> 0:23:50.159
<v Speaker 7>We talked about that in the last earnings call earlier

0:23:50.240 --> 0:23:54.399
<v Speaker 7>this week that we are paying slightly higher power costs

0:23:54.240 --> 0:23:57.960
<v Speaker 7>in Europe because of the anticipated higher costs that we're

0:23:58.000 --> 0:24:01.480
<v Speaker 7>going to be there because of what's going on in Ukraine.

0:24:01.720 --> 0:24:04.440
<v Speaker 7>Obviously it hasn't played out, so hopefully that will dissipate

0:24:04.480 --> 0:24:06.639
<v Speaker 7>over time, but it's a big cost.

0:24:07.520 --> 0:24:07.720
<v Speaker 9>You know.

0:24:07.840 --> 0:24:09.879
<v Speaker 7>One of the good things about our business is we

0:24:09.960 --> 0:24:13.560
<v Speaker 7>have Moore's Law playing it in that, you know, efficiencies

0:24:13.960 --> 0:24:17.920
<v Speaker 7>being built into the chips, into the technology. They get smaller,

0:24:17.960 --> 0:24:21.199
<v Speaker 7>they consume less power over time. We work very closely

0:24:21.280 --> 0:24:26.480
<v Speaker 7>with our data. We self host, so we have third

0:24:26.480 --> 0:24:30.480
<v Speaker 7>party data centers and we work with them on their

0:24:30.800 --> 0:24:33.800
<v Speaker 7>strategies for energy efficiency. So I think we have a

0:24:33.800 --> 0:24:38.000
<v Speaker 7>good plan going forward and actually a good footprint today,

0:24:38.040 --> 0:24:40.639
<v Speaker 7>and we have tailwinds that are back just given the

0:24:40.760 --> 0:24:44.600
<v Speaker 7>nature of technology how it evolves, but power is a

0:24:44.600 --> 0:24:48.159
<v Speaker 7>meaningful cost for us in our footprint today.

0:24:48.280 --> 0:24:50.439
<v Speaker 2>You mentioned seventy percent of your customers are outside the

0:24:50.480 --> 0:24:53.119
<v Speaker 2>United States. Is it largely in Europe? Is there a

0:24:53.119 --> 0:24:55.400
<v Speaker 2>specific region of the world. I'm just no, no, you're

0:24:55.400 --> 0:24:58.200
<v Speaker 2>shaking your head to You talked about all the centers

0:24:58.200 --> 0:24:59.920
<v Speaker 2>you have, So what does it tell you then about

0:25:00.280 --> 0:25:01.960
<v Speaker 2>kind of what's going on in the global economy. You

0:25:02.000 --> 0:25:04.000
<v Speaker 2>said things have been slowing down over the past year.

0:25:04.040 --> 0:25:06.080
<v Speaker 2>Are they continuing to slow down?

0:25:07.200 --> 0:25:07.399
<v Speaker 5>You know.

0:25:07.480 --> 0:25:11.360
<v Speaker 7>The beauty of our business is because we have such

0:25:11.400 --> 0:25:15.000
<v Speaker 7>an easy way for customers to come to and sign

0:25:15.119 --> 0:25:17.320
<v Speaker 7>up to be a customer on a website ten million

0:25:17.359 --> 0:25:20.160
<v Speaker 7>people come to our website a month. Tens of thousands

0:25:20.160 --> 0:25:23.320
<v Speaker 7>become paying customers every month, so very efficient. We get

0:25:23.359 --> 0:25:27.119
<v Speaker 7>people from all over the world, and so we're split

0:25:27.520 --> 0:25:31.960
<v Speaker 7>roughly Europe, Asia, United States, North America and the rest

0:25:32.000 --> 0:25:34.560
<v Speaker 7>of the world. It looks like GDP, so we truly

0:25:34.640 --> 0:25:38.159
<v Speaker 7>are a reflection of entrepreneurial activity happening all over the world.

0:25:38.359 --> 0:25:41.120
<v Speaker 7>We also don't have a lot of customer or industry.

0:25:40.880 --> 0:25:42.560
<v Speaker 10>Concentration, but you still see.

0:25:42.560 --> 0:25:46.520
<v Speaker 7>Thanks, We're seeing very consistent trends across the world.

0:25:46.640 --> 0:25:49.160
<v Speaker 2>All right, got to run, Yancey, Thank you so much.

0:25:49.480 --> 0:25:52.440
<v Speaker 2>Yancey Sproul. He's chief executive officer at Digital Ocean. Joining

0:25:52.520 --> 0:25:55.280
<v Speaker 2>us on zoom from Boulder, Colorado. As we said, this

0:25:55.320 --> 0:25:57.800
<v Speaker 2>stock is up about twenty six percent this year.

0:26:00.200 --> 0:26:04.119
<v Speaker 1>Is Bloomberg Business Week with Carol Messer and Tim Stenebeck

0:26:04.640 --> 0:26:05.840
<v Speaker 1>on Bloomberg Radio.

0:26:06.600 --> 0:26:16.640
<v Speaker 2>Listen, all right, we are going to talk about secrets

0:26:16.800 --> 0:26:19.240
<v Speaker 2>the new way show Bloomberg BusinessWeek. It's out on newsstands,

0:26:19.280 --> 0:26:21.680
<v Speaker 2>online at Bloomberg dot com, slash BusinessWeek, and of course

0:26:21.760 --> 0:26:24.680
<v Speaker 2>on the Bloomberg. The cover story is about an iconic

0:26:24.720 --> 0:26:27.720
<v Speaker 2>brand with a closely guarded secret recipe We know about that,

0:26:28.119 --> 0:26:29.320
<v Speaker 2>but we're going to tell you about the plot to

0:26:29.359 --> 0:26:32.119
<v Speaker 2>still the other secret inside a can of Coca cola.

0:26:32.440 --> 0:26:34.440
<v Speaker 2>Writing about it the Bloomberg team of Drake Bennett and

0:26:34.520 --> 0:26:37.760
<v Speaker 2>Jordan Robertson. Drake is Bloomberg BusinessWeek Technology reporter here in

0:26:37.800 --> 0:26:40.359
<v Speaker 2>our Bloomberg Interactive Broker Studio along with the editor of

0:26:40.440 --> 0:26:43.400
<v Speaker 2>Bloomberg Business Week, Joel Weber. And Joel this is another

0:26:43.440 --> 0:26:44.960
<v Speaker 2>high story. You guys are good with these.

0:26:45.119 --> 0:26:48.080
<v Speaker 11>Hi's a that's a funny little inside joke between Drake

0:26:48.119 --> 0:26:50.359
<v Speaker 11>and me. Uh, yeah, it is.

0:26:50.440 --> 0:26:52.320
<v Speaker 3>And even more than that.

0:26:52.359 --> 0:26:57.400
<v Speaker 11>It's a story about uh, kind of the Chinese industrial

0:26:57.560 --> 0:27:03.120
<v Speaker 11>complex looking for IP. And this culminated in a cover

0:27:03.240 --> 0:27:07.479
<v Speaker 11>story that Jordan and Drake did together last year around

0:27:07.560 --> 0:27:12.399
<v Speaker 11>ge and that was a miraculous story that had a

0:27:12.440 --> 0:27:16.280
<v Speaker 11>real cat and mouse game. And if you haven't read

0:27:16.280 --> 0:27:17.280
<v Speaker 11>that one, you should go back and read it. But

0:27:17.280 --> 0:27:20.399
<v Speaker 11>you should also read this one because it centers on

0:27:20.480 --> 0:27:23.560
<v Speaker 11>yet another big secret, which is what's instead of cocaine

0:27:23.600 --> 0:27:27.879
<v Speaker 11>but not the liquid. Turns out, the liner Drake Bennett

0:27:28.359 --> 0:27:29.920
<v Speaker 11>is incredibly valuable as well.

0:27:30.600 --> 0:27:34.560
<v Speaker 10>Yeah, and potentially more useful because if you didn't have

0:27:34.680 --> 0:27:39.199
<v Speaker 10>this two micron thick polymer liner in your cocaine. The

0:27:39.240 --> 0:27:41.160
<v Speaker 10>coke would basically devour the can.

0:27:42.280 --> 0:27:44.480
<v Speaker 5>Not just coke though, right, because a lot of SODA's

0:27:44.800 --> 0:27:47.840
<v Speaker 5>would devour a can if they didn't have this liner, right, Yeah, exactly,

0:27:47.920 --> 0:27:49.000
<v Speaker 5>the liners which are.

0:27:48.840 --> 0:27:54.360
<v Speaker 3>Made by like Basf Dow Chemical, Axon, Nobel Williams.

0:27:54.359 --> 0:27:58.240
<v Speaker 5>So these liners are probably used by I'm guessing other

0:27:58.359 --> 0:27:59.880
<v Speaker 5>soda makers besides Cocke.

0:28:00.080 --> 0:28:00.840
<v Speaker 3>Yeeah, totally.

0:28:01.040 --> 0:28:04.879
<v Speaker 10>Coke occupies a particularly important position in this market because

0:28:04.920 --> 0:28:08.960
<v Speaker 10>they're such a giant. So when they decide, you know,

0:28:08.960 --> 0:28:10.560
<v Speaker 10>they're going to use something or not use something, it

0:28:10.600 --> 0:28:13.280
<v Speaker 10>basically decides whether that thing has a market. So that

0:28:13.560 --> 0:28:17.159
<v Speaker 10>uh happens to be the thing that this woman at

0:28:17.160 --> 0:28:19.159
<v Speaker 10>the center of our story took advantage of because she

0:28:19.280 --> 0:28:22.480
<v Speaker 10>was a chemist at Coke and she was responsible for

0:28:22.600 --> 0:28:25.560
<v Speaker 10>deciding or helping decide which of these new coatings would

0:28:25.560 --> 0:28:29.320
<v Speaker 10>go into coke cans or not. And she uses this

0:28:29.480 --> 0:28:32.480
<v Speaker 10>to basically get a lot more of this information than

0:28:32.520 --> 0:28:35.400
<v Speaker 10>anyone at Coke had everybody able to get and then

0:28:35.840 --> 0:28:38.160
<v Speaker 10>takes it to try to start.

0:28:37.960 --> 0:28:40.280
<v Speaker 11>Her slow this down.

0:28:40.280 --> 0:28:40.560
<v Speaker 5>We got.

0:28:42.520 --> 0:28:45.760
<v Speaker 3>There's so much to talk about it. She's only one

0:28:45.760 --> 0:28:47.400
<v Speaker 3>of only two people that had access.

0:28:49.080 --> 0:28:49.240
<v Speaker 8>Yeah.

0:28:49.280 --> 0:28:53.200
<v Speaker 10>Shannon Yo, she's a Chinese born chemical engineer, a very

0:28:53.320 --> 0:28:55.680
<v Speaker 10>talented one with actually like a bunch of cool patents

0:28:55.680 --> 0:28:58.600
<v Speaker 10>to her name, and she had this job at Coke

0:28:58.640 --> 0:29:00.960
<v Speaker 10>where she was basically the game keeper. It is something

0:29:01.000 --> 0:29:04.760
<v Speaker 10>called the Scientific and Regulatory Affairs Group, which is this

0:29:04.840 --> 0:29:07.440
<v Speaker 10>sort of group that approves these things, and she was

0:29:07.480 --> 0:29:11.360
<v Speaker 10>the contact person with these big chemical these big coatings companies.

0:29:12.600 --> 0:29:13.920
<v Speaker 10>Part of what's fun of the story was just like

0:29:14.040 --> 0:29:16.120
<v Speaker 10>learning about all these cool coatings out there in the

0:29:16.160 --> 0:29:19.280
<v Speaker 10>world on like stealth bombers and computers.

0:29:19.320 --> 0:29:20.800
<v Speaker 11>Can we talk about that for a second, because like

0:29:20.840 --> 0:29:24.320
<v Speaker 11>it turns out everything in the world actually has a

0:29:24.400 --> 0:29:25.240
<v Speaker 11>secret coating on it.

0:29:25.440 --> 0:29:28.000
<v Speaker 10>Yeah, yeaheah, all these you know, if you think about

0:29:28.000 --> 0:29:30.160
<v Speaker 10>there's all these like interfaces in the world where like

0:29:30.240 --> 0:29:32.720
<v Speaker 10>you're touching a thing, or like you know, there's a

0:29:32.760 --> 0:29:35.440
<v Speaker 10>bridge and it's in like salty air, so the paint

0:29:35.480 --> 0:29:38.560
<v Speaker 10>needs to prevent it from rusting, or you know, there's

0:29:38.680 --> 0:29:42.959
<v Speaker 10>my favorite actually was this paint for ship holes that

0:29:43.040 --> 0:29:46.440
<v Speaker 10>basically like has the like a bioside in it that

0:29:46.600 --> 0:29:48.960
<v Speaker 10>kills barnacles so that these ships can go back and

0:29:49.000 --> 0:29:51.320
<v Speaker 10>forth across the ocean and barnacles can't attach to it.

0:29:51.400 --> 0:29:52.200
<v Speaker 2>We put it on our boat.

0:29:52.240 --> 0:29:53.960
<v Speaker 3>I wish I had that in my dad when I

0:29:54.000 --> 0:29:56.240
<v Speaker 3>was a kid, repainted every year.

0:29:56.400 --> 0:29:57.200
<v Speaker 2>It's pretty amazing.

0:29:57.560 --> 0:29:58.680
<v Speaker 3>It's what you do exactly.

0:29:58.760 --> 0:30:00.920
<v Speaker 11>And it turns out like this is what chemists do

0:30:01.000 --> 0:30:03.280
<v Speaker 11>at big corporations, right. It is like work on these

0:30:03.360 --> 0:30:07.840
<v Speaker 11>incredibly complicated formulas exactly. Massive ip that's caught up with that,

0:30:07.960 --> 0:30:10.240
<v Speaker 11>and you think about that within a company is like

0:30:10.560 --> 0:30:12.840
<v Speaker 11>there's only a few people that. I mean, it makes

0:30:12.880 --> 0:30:16.600
<v Speaker 11>me wonder if two people have the secret for this formula,

0:30:16.800 --> 0:30:19.360
<v Speaker 11>how many people have it for the other the core formula?

0:30:19.440 --> 0:30:22.120
<v Speaker 10>Right, yeah, yeah, I mean exactly secret.

0:30:21.920 --> 0:30:27.280
<v Speaker 11>Secret football suitcase for that. I don't know, Okay, yeah.

0:30:26.960 --> 0:30:29.600
<v Speaker 10>I mean there's a whole like staginess around that trade secret.

0:30:29.640 --> 0:30:31.320
<v Speaker 3>I feel like, yes, very much.

0:30:31.200 --> 0:30:34.600
<v Speaker 10>So, but uh yeah so anyway, so yeah, so basically,

0:30:34.680 --> 0:30:36.479
<v Speaker 10>and the I mean one of the other cool things

0:30:36.520 --> 0:30:39.080
<v Speaker 10>about this coding is is it has to get sprayed

0:30:39.120 --> 0:30:41.200
<v Speaker 10>on in these cans that are like going at super

0:30:41.240 --> 0:30:43.200
<v Speaker 10>high speeds through these giants. So there's all these sort

0:30:43.240 --> 0:30:45.960
<v Speaker 10>of technical problems that these companies had to solve, and

0:30:46.000 --> 0:30:49.000
<v Speaker 10>they spent tens of millions of dollars over many years

0:30:49.000 --> 0:30:50.960
<v Speaker 10>to get these coatings just right. And the other bit

0:30:50.960 --> 0:30:52.160
<v Speaker 10>of it, if you want to get into it, is

0:30:52.160 --> 0:30:56.000
<v Speaker 10>that these particular ones were particularly valuable and new because

0:30:56.000 --> 0:30:58.640
<v Speaker 10>they had gotten BPA out of them, which is something

0:30:58.680 --> 0:31:00.960
<v Speaker 10>that we're increasingly trying to get out of things that touch.

0:31:00.880 --> 0:31:04.200
<v Speaker 5>EPA is like a plasticy substance that what does it

0:31:04.240 --> 0:31:06.560
<v Speaker 5>cause cancer if we're exposed to it for too long?

0:31:06.720 --> 0:31:10.080
<v Speaker 10>There's some research that suggest that it messes with your endocrinces,

0:31:10.160 --> 0:31:12.120
<v Speaker 10>so it can give you diabetes. It can, it can

0:31:12.240 --> 0:31:15.080
<v Speaker 10>sort of, right.

0:31:15.760 --> 0:31:20.120
<v Speaker 5>If consumed in large right, if it consumed in American

0:31:20.240 --> 0:31:21.600
<v Speaker 5>level quantities, right.

0:31:21.440 --> 0:31:22.080
<v Speaker 1>Yeah, exactly.

0:31:23.120 --> 0:31:25.520
<v Speaker 11>So she was a great colleague, it turns out.

0:31:25.400 --> 0:31:27.400
<v Speaker 10>Yeah, right, no exactly. I mean, part of what's kind

0:31:27.400 --> 0:31:31.480
<v Speaker 10>of particularly like colorful about the story we felt is

0:31:31.520 --> 0:31:34.040
<v Speaker 10>that if you were trying to do something like what

0:31:34.080 --> 0:31:36.680
<v Speaker 10>she was trying to do, which is basically like squirrel

0:31:36.760 --> 0:31:40.680
<v Speaker 10>away these incredibly valuable trade secrets from your employer, like

0:31:40.720 --> 0:31:44.520
<v Speaker 10>you try to be presumably like pretty thick chill about it.

0:31:44.800 --> 0:31:48.680
<v Speaker 10>But she was actually this incredibly obstreperous personality, and everyone

0:31:48.720 --> 0:31:51.320
<v Speaker 10>at a new place she'd ever worked with, was like, Yeah,

0:31:51.360 --> 0:31:53.360
<v Speaker 10>she was just always like really loud and really like

0:31:53.400 --> 0:31:55.240
<v Speaker 10>getting any of these arguments and had these like very

0:31:55.280 --> 0:31:58.680
<v Speaker 10>contentious relationships with the companies whose ip she was like

0:31:58.760 --> 0:32:01.960
<v Speaker 10>trying to steal basically, So it's not one of those

0:32:01.960 --> 0:32:04.600
<v Speaker 10>things where like, you know, after the crime, everyone's like, wow,

0:32:04.640 --> 0:32:06.680
<v Speaker 10>you know, I never thought he you know, it seemed

0:32:06.680 --> 0:32:08.640
<v Speaker 10>like such a nice boy.

0:32:08.600 --> 0:32:11.040
<v Speaker 3>Yeah, I never thought.

0:32:13.840 --> 0:32:14.760
<v Speaker 10>Yeah she was.

0:32:14.840 --> 0:32:15.719
<v Speaker 3>She did get fired.

0:32:15.800 --> 0:32:18.280
<v Speaker 5>They fired her though before, so maybe if they hadn't

0:32:18.320 --> 0:32:20.080
<v Speaker 5>fired her, she wouldn't have tried to steal their ip.

0:32:20.360 --> 0:32:22.760
<v Speaker 10>Well actually yes, and so that is actually something that

0:32:23.800 --> 0:32:26.760
<v Speaker 10>her family members mentioned in the sort of sentencing letters

0:32:26.800 --> 0:32:29.200
<v Speaker 10>they were to the judge after she was convicted, which

0:32:29.240 --> 0:32:31.760
<v Speaker 10>is that, yeah, she would have they say, you know,

0:32:31.840 --> 0:32:34.520
<v Speaker 10>stated Coke and you know, made her career there. I mean,

0:32:34.560 --> 0:32:38.160
<v Speaker 10>that's complicated by the fact that she had been So

0:32:38.240 --> 0:32:40.520
<v Speaker 10>the other part of this is that all along or

0:32:40.640 --> 0:32:43.280
<v Speaker 10>basically through the entire period she was working at Coke,

0:32:43.320 --> 0:32:45.840
<v Speaker 10>and then afterwards when she goes to work at Easton Chemical,

0:32:46.080 --> 0:32:49.400
<v Speaker 10>she's having these conversations with these business partners, including some

0:32:49.480 --> 0:32:54.000
<v Speaker 10>relatives in China, about starting her own competing codings company

0:32:54.440 --> 0:32:57.920
<v Speaker 10>to bring these new high tech codings to China where

0:32:57.960 --> 0:33:01.880
<v Speaker 10>there is not a a sort of domestic producer of

0:33:01.920 --> 0:33:04.520
<v Speaker 10>these things. So it's this giant unmet need. There's a

0:33:04.520 --> 0:33:07.800
<v Speaker 10>lot of public money that they can get to do this,

0:33:08.120 --> 0:33:10.600
<v Speaker 10>and so there's this kind of parallel thing going on

0:33:10.840 --> 0:33:13.800
<v Speaker 10>that emerges, you know, only when the FBI gets their

0:33:13.840 --> 0:33:16.400
<v Speaker 10>hands on all of our electronic devices, where she's got

0:33:16.480 --> 0:33:19.000
<v Speaker 10>this whole plan going at the same time, and that's

0:33:19.040 --> 0:33:20.400
<v Speaker 10>why she needs this ip.

0:33:20.600 --> 0:33:21.920
<v Speaker 3>A thousand talents program.

0:33:23.040 --> 0:33:26.600
<v Speaker 11>This has come up in many other stories, not totally

0:33:26.600 --> 0:33:30.760
<v Speaker 11>new here, but what concerns do American corporations have about

0:33:30.840 --> 0:33:34.160
<v Speaker 11>things like Beijing's thousand talents programs?

0:33:34.320 --> 0:33:36.920
<v Speaker 10>So thousand Talents is probably the best known of these

0:33:38.160 --> 0:33:41.760
<v Speaker 10>sort of grant programs that the Chinese government has. Provincial

0:33:41.760 --> 0:33:45.480
<v Speaker 10>governments have them, the national government has them. And ostensibly

0:33:45.520 --> 0:33:50.640
<v Speaker 10>they're basically a way to try to get these Chinese

0:33:50.640 --> 0:33:53.920
<v Speaker 10>born engineers and scientists who have gone abroad to get

0:33:54.000 --> 0:33:56.360
<v Speaker 10>educated or to get these jobs at high tech companies,

0:33:56.600 --> 0:33:59.120
<v Speaker 10>to get them to come back and start Chinese companies.

0:34:00.080 --> 0:34:04.640
<v Speaker 10>What they end up doing, according to their critics, is

0:34:04.840 --> 0:34:07.880
<v Speaker 10>also functioning as these bounties for IP. So it's like

0:34:07.920 --> 0:34:10.319
<v Speaker 10>come back and start a company, but bring some like

0:34:10.520 --> 0:34:15.560
<v Speaker 10>valuable IP with you from ge aviation or from coke

0:34:15.680 --> 0:34:16.719
<v Speaker 10>or wherever you are now.

0:34:16.760 --> 0:34:19.560
<v Speaker 3>And so this is what was smart. Wh wouldn't they

0:34:19.600 --> 0:34:19.799
<v Speaker 3>do that?

0:34:19.920 --> 0:34:21.719
<v Speaker 10>Yeah? Right, it's like exactly, it's just.

0:34:22.320 --> 0:34:26.080
<v Speaker 3>How internationally forever yes.

0:34:26.040 --> 0:34:28.440
<v Speaker 10>Right now, there's a long history of you know, the

0:34:28.520 --> 0:34:30.160
<v Speaker 10>United States did it, England did it? You know, I

0:34:30.280 --> 0:34:32.040
<v Speaker 10>just go back. It's sort of what it's the way

0:34:32.040 --> 0:34:34.080
<v Speaker 10>the game has been played. But right now one of

0:34:34.080 --> 0:34:36.080
<v Speaker 10>the ways the game is played is through these programs.

0:34:36.880 --> 0:34:41.880
<v Speaker 10>And so Shannon and her co founders uh got some

0:34:41.960 --> 0:34:43.520
<v Speaker 10>of this money. They applied for it, and they got

0:34:43.520 --> 0:34:48.040
<v Speaker 10>it for the purpose of starting up a BPA free

0:34:48.080 --> 0:34:51.000
<v Speaker 10>coding factory and lab in China.

0:34:51.120 --> 0:34:52.799
<v Speaker 2>I had this idea, yeah right.

0:34:55.080 --> 0:34:57.759
<v Speaker 10>Stuff right, yeah no, And it's like you know, I

0:34:57.760 --> 0:34:59.840
<v Speaker 10>mean it was very important for the purposes of the

0:35:00.000 --> 0:35:02.680
<v Speaker 10>application to say, like here's the IP that we have.

0:35:02.800 --> 0:35:05.600
<v Speaker 10>And you know, they didn't just to kind of like

0:35:05.719 --> 0:35:10.520
<v Speaker 10>they they had. It was for the application. The they

0:35:10.680 --> 0:35:13.520
<v Speaker 10>basically she has an impressive resume, but they basically like

0:35:14.239 --> 0:35:16.640
<v Speaker 10>guild the lily in all these amazing ways. They say,

0:35:16.680 --> 0:35:19.120
<v Speaker 10>she's like the CTO of fortune. Five hundred company, which

0:35:19.160 --> 0:35:21.839
<v Speaker 10>she wasn't. They say she actually invented these codings, which

0:35:21.880 --> 0:35:26.080
<v Speaker 10>she didn't. They produce this fake sort of licensing agreement

0:35:26.320 --> 0:35:28.560
<v Speaker 10>that would have given them the rights to these technologies,

0:35:28.600 --> 0:35:32.160
<v Speaker 10>which they didn't have. So there's a whole package that's

0:35:32.360 --> 0:35:34.640
<v Speaker 10>very fraudulent that they used to get the money.

0:35:34.880 --> 0:35:40.680
<v Speaker 11>Okay, so she's got you know, employers and employees who

0:35:41.080 --> 0:35:44.760
<v Speaker 11>don't really like her, She's got this exit strategy in China.

0:35:45.640 --> 0:35:47.280
<v Speaker 11>How does the all come to a head.

0:35:47.760 --> 0:35:51.400
<v Speaker 10>Well, it comes to a head because again she basically

0:35:51.640 --> 0:35:54.600
<v Speaker 10>keeps making such a spectacle of herself and being so

0:35:56.560 --> 0:35:59.240
<v Speaker 10>sort of blatant about what she's doing that her employer,

0:35:59.280 --> 0:36:03.520
<v Speaker 10>after Coke, which is Eastman Chemical, sort of fires her.

0:36:04.040 --> 0:36:06.560
<v Speaker 10>But even after that, she sort of keeps doing these

0:36:06.560 --> 0:36:10.000
<v Speaker 10>things that raise these red flags, and so eventually they

0:36:10.120 --> 0:36:13.560
<v Speaker 10>get their hand. They they noticed she's been like downloading

0:36:13.560 --> 0:36:16.720
<v Speaker 10>these files onto a USB drive, and so they insist

0:36:16.719 --> 0:36:18.759
<v Speaker 10>on getting that back when they fire her, and they

0:36:18.800 --> 0:36:21.800
<v Speaker 10>find these Eastman files, but then all these other files

0:36:21.840 --> 0:36:25.040
<v Speaker 10>from all these companies where she hasn't even worked before.

0:36:25.080 --> 0:36:27.640
<v Speaker 10>And so then at that point there's a guy that

0:36:27.640 --> 0:36:29.319
<v Speaker 10>he'sman who used to work for the FBI, and he

0:36:29.400 --> 0:36:31.600
<v Speaker 10>calls some of his old colleagues and then it becomes

0:36:31.600 --> 0:36:36.000
<v Speaker 10>a criminal thing. And then the companies, the ax Nobels

0:36:36.000 --> 0:36:38.200
<v Speaker 10>and Sean Williams find out that their secrets are out

0:36:38.200 --> 0:36:41.960
<v Speaker 10>there and they so she gets in. At that point,

0:36:42.040 --> 0:36:43.440
<v Speaker 10>she gets starts getting in big trouble.

0:36:43.920 --> 0:36:46.080
<v Speaker 11>One of my favorite details from this point in time

0:36:46.200 --> 0:36:49.640
<v Speaker 11>the NDA's that she got right wrapped up in where

0:36:49.840 --> 0:36:52.839
<v Speaker 11>she was getting companies to like do NDAs just for her,

0:36:52.960 --> 0:36:55.360
<v Speaker 11>and then when Coke has to intervene, they had to

0:36:55.440 --> 0:36:58.000
<v Speaker 11>like do India's to like supersede the NDAs.

0:36:58.360 --> 0:36:58.920
<v Speaker 9>It's nuts.

0:36:59.000 --> 0:37:01.400
<v Speaker 10>I mean, I think it's sort of it's amazing how

0:37:01.680 --> 0:37:03.799
<v Speaker 10>much she's able to do as this like kind of

0:37:03.840 --> 0:37:05.360
<v Speaker 10>mid level person at this company.

0:37:05.400 --> 0:37:07.759
<v Speaker 11>And there's hope for all of us out there, right, I.

0:37:07.760 --> 0:37:11.200
<v Speaker 5>Mean, she is a phdah, she went to high to

0:37:11.200 --> 0:37:14.359
<v Speaker 5>get her doctorate, and yet we educated her.

0:37:15.160 --> 0:37:16.799
<v Speaker 3>I mean, I don't know if I say like that.

0:37:16.760 --> 0:37:22.320
<v Speaker 11>But but but the most fabulous thing becomes this FBI interrogation, right.

0:37:22.440 --> 0:37:25.719
<v Speaker 10>Right, So we so one of the key pieces of

0:37:25.760 --> 0:37:28.000
<v Speaker 10>evidence that gets referred to over and over again in

0:37:28.000 --> 0:37:31.200
<v Speaker 10>her trial is this two hour conversation she has right

0:37:31.239 --> 0:37:35.160
<v Speaker 10>after she's arrested in uh In, Michigan at an FBI

0:37:35.200 --> 0:37:39.719
<v Speaker 10>office there where this the lead investigation, lead investigator in

0:37:39.719 --> 0:37:43.440
<v Speaker 10>the case basically kind of like walks her through. I mean,

0:37:43.480 --> 0:37:45.520
<v Speaker 10>it's it's interesting. It's just kind of like a case

0:37:45.560 --> 0:37:47.520
<v Speaker 10>study and how you do these things, because he sort

0:37:47.560 --> 0:37:49.600
<v Speaker 10>of starts out, you know, with a bunch of like

0:37:49.719 --> 0:37:53.480
<v Speaker 10>very innocent questions, and she's kind of basically lies about

0:37:53.480 --> 0:37:55.440
<v Speaker 10>a lot of things, and then he sort of reveals

0:37:55.600 --> 0:37:57.879
<v Speaker 10>just because they've been in her we chats, they've been

0:37:57.920 --> 0:38:00.480
<v Speaker 10>in her like Gmail, they've been in her work, like

0:38:00.480 --> 0:38:01.840
<v Speaker 10>they just voicemail.

0:38:02.080 --> 0:38:04.440
<v Speaker 3>Yeah, they know the story, they know it, yeah yeah.

0:38:04.480 --> 0:38:07.239
<v Speaker 10>And so basically and there's some part it seems where

0:38:07.239 --> 0:38:11.360
<v Speaker 10>he's like sort of the FBI agent is like, you know,

0:38:11.719 --> 0:38:13.840
<v Speaker 10>floating the idea of trying to get her to maybe

0:38:13.880 --> 0:38:16.920
<v Speaker 10>like roll over on her co conspirators, but she doesn't

0:38:16.920 --> 0:38:19.560
<v Speaker 10>seem very interested. So then it basically becomes him kind

0:38:19.560 --> 0:38:21.680
<v Speaker 10>of confronting her with all these things that it's clear

0:38:21.719 --> 0:38:22.839
<v Speaker 10>that she was doing.

0:38:23.040 --> 0:38:26.719
<v Speaker 11>Which makes her fall pretty quiet. I think I would

0:38:26.719 --> 0:38:29.080
<v Speaker 11>have asked for my lawyer a few hours before.

0:38:29.680 --> 0:38:32.439
<v Speaker 3>Dude never talks to the cops. It doesn't even matter

0:38:32.480 --> 0:38:35.759
<v Speaker 3>how innocent you are. Never ever, ever, ever ever talk

0:38:35.840 --> 0:38:36.280
<v Speaker 3>to the police.

0:38:36.280 --> 0:38:40.560
<v Speaker 2>They're not your friends, Jill. You know Anthony Massini, who

0:38:40.600 --> 0:38:44.600
<v Speaker 2>oversees radio and more audio, he's like, you know, he's like,

0:38:44.600 --> 0:38:46.319
<v Speaker 2>you know, when you're talking to y'all, like, what is

0:38:46.320 --> 0:38:49.319
<v Speaker 2>it that made you green light this story?

0:38:49.400 --> 0:38:53.799
<v Speaker 11>So I love a good heist, you know, And at

0:38:53.840 --> 0:38:56.320
<v Speaker 11>the at the end of the day, you know, IP

0:38:57.000 --> 0:38:59.920
<v Speaker 11>is the most valuable thing that any of us kind

0:38:59.920 --> 0:39:02.960
<v Speaker 11>of create for our companies, right, and our companies value that.

0:39:03.200 --> 0:39:06.839
<v Speaker 11>And yet you know, that is a thing that is

0:39:06.960 --> 0:39:09.439
<v Speaker 11>very difficult to write about and talk about. So when

0:39:09.440 --> 0:39:13.800
<v Speaker 11>you end up with a narrative and the drama around

0:39:13.800 --> 0:39:16.680
<v Speaker 11>it and characters like shaneon you know, and what happens here,

0:39:17.360 --> 0:39:20.719
<v Speaker 11>it just connects so many different pieces. So there's a

0:39:20.840 --> 0:39:23.080
<v Speaker 11>very big story here, but we can tell it through

0:39:23.480 --> 0:39:26.400
<v Speaker 11>you know, something that's very dramatic and kind of small

0:39:26.440 --> 0:39:29.839
<v Speaker 11>and invisible. It's super important and invisible, Like you would

0:39:29.840 --> 0:39:32.839
<v Speaker 11>have never even known that codings are worth this much money.

0:39:32.840 --> 0:39:33.879
<v Speaker 11>And by the end of it, you're just.

0:39:33.840 --> 0:39:37.040
<v Speaker 5>Like, it's also an incredible multimedia story. The way you

0:39:37.080 --> 0:39:39.080
<v Speaker 5>told it and the way you laid it out. You've

0:39:39.120 --> 0:39:42.680
<v Speaker 5>got video in the text and obviously not in the magazine,

0:39:42.719 --> 0:39:47.960
<v Speaker 5>but you can go to BusinessWeek dot com and get Yeah.

0:39:47.880 --> 0:39:50.800
<v Speaker 11>You can read it anywhere you want, anywhere.

0:39:50.840 --> 0:39:52.719
<v Speaker 3>I usually like magazine, but.

0:39:52.760 --> 0:39:53.520
<v Speaker 11>That's my favorite way.

0:39:53.520 --> 0:39:55.600
<v Speaker 2>We got to go, guys. Joe Weber, Editor Business Feet,

0:39:55.640 --> 0:39:58.760
<v Speaker 2>Jack Bennett, he wrote it. This is radio.

0:40:00.080 --> 0:40:04.319
<v Speaker 1>This is Bloomberg Business. Wait inside from the reporters and

0:40:04.480 --> 0:40:08.040
<v Speaker 1>editors who bring you America's most trusted business magazine, plus

0:40:08.120 --> 0:40:12.040
<v Speaker 1>gloom War, business finance, and tech news. The Bloomberg Business

0:40:12.040 --> 0:40:17.560
<v Speaker 1>Week Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

0:40:21.080 --> 0:40:24.240
<v Speaker 3>Mucle A Journal.

0:40:25.239 --> 0:40:26.239
<v Speaker 2>Now about you let me drive?

0:40:26.480 --> 0:40:29.880
<v Speaker 3>Oh no, no, no, no, who's going to drive home? Alright?

0:40:30.080 --> 0:40:30.360
<v Speaker 6>Please?

0:40:30.520 --> 0:40:32.000
<v Speaker 3>I'll do the travels.

0:40:32.600 --> 0:40:36.920
<v Speaker 4>Wait, I want to drive. It's a question.

0:40:40.719 --> 0:40:43.319
<v Speaker 3>This is the drive to the Clothes dot com.

0:40:44.080 --> 0:40:47.160
<v Speaker 1>We'll drive up child down on Bloomberg Radio.

0:40:47.400 --> 0:40:49.359
<v Speaker 2>All right, everybody, Just about seventeen and a half minutes

0:40:49.400 --> 0:40:52.440
<v Speaker 2>left in today's trading session. Carol Masser along with the

0:40:52.600 --> 0:40:56.640
<v Speaker 2>sometimes shy and a little nervous Matt Miller. Hard to believe.

0:40:56.920 --> 0:41:00.759
<v Speaker 3>I never have you been doing this twenty three?

0:41:00.920 --> 0:41:02.400
<v Speaker 2>I know you were, you know you were just a

0:41:02.440 --> 0:41:02.960
<v Speaker 2>wee one.

0:41:03.120 --> 0:41:03.520
<v Speaker 3>Yeah.

0:41:03.760 --> 0:41:05.560
<v Speaker 2>When we first met you were over in Germany. I

0:41:05.600 --> 0:41:08.480
<v Speaker 2>had hair, he had lots of Hey, Gordon Gecko.

0:41:08.239 --> 0:41:09.760
<v Speaker 3>Had I weighed twenty pounds less.

0:41:10.080 --> 0:41:12.680
<v Speaker 2>You were kind of a skinny little dude. Let's get

0:41:12.719 --> 0:41:14.719
<v Speaker 2>to it, folks. Let's talk about the markets. That's what

0:41:14.760 --> 0:41:16.520
<v Speaker 2>everybody wants to know. It's kind of I've called it

0:41:16.560 --> 0:41:18.160
<v Speaker 2>a meh week, and I feel like we're having another.

0:41:18.320 --> 0:41:19.879
<v Speaker 5>I have to disagree with you there as you why

0:41:20.440 --> 0:41:22.359
<v Speaker 5>because there's been so much movement under the hood.

0:41:22.440 --> 0:41:25.919
<v Speaker 3>So, yes, you haven't in stocks too.

0:41:26.880 --> 0:41:30.520
<v Speaker 5>If you have a behemoth like Disney, a two hundred

0:41:30.640 --> 0:41:33.920
<v Speaker 5>billion dollar stock dropping ten percent in a day. I mean,

0:41:33.960 --> 0:41:37.520
<v Speaker 5>the volatility for individual names has been insane. But the

0:41:37.560 --> 0:41:40.560
<v Speaker 5>thing is it's been barbelled, right, So the index hasn't

0:41:40.560 --> 0:41:41.200
<v Speaker 5>moved much as.

0:41:42.040 --> 0:41:43.120
<v Speaker 2>Just about quarter Yeah I know.

0:41:43.200 --> 0:41:44.759
<v Speaker 3>Yeah, so the S and P doesn't move a lot.

0:41:44.840 --> 0:41:46.600
<v Speaker 2>But he's a big picture.

0:41:46.680 --> 0:41:49.680
<v Speaker 3>Yes, exactly. Okay, I'm looking more granularly.

0:41:49.960 --> 0:41:52.319
<v Speaker 2>Katie Kaminsky is like these two idiots, Well, they finally

0:41:52.360 --> 0:41:55.320
<v Speaker 2>get to meet. Katie is chief research drategist in portfolio

0:41:55.440 --> 0:41:58.320
<v Speaker 2>manager at Alphice Simplex Group. She joins us via Zoom

0:41:58.640 --> 0:42:01.400
<v Speaker 2>from Boston, Katie, Katie, it's been that kind of a week.

0:42:01.920 --> 0:42:05.680
<v Speaker 2>Matt is not wrong. Underneath, like look at regionals or something.

0:42:05.719 --> 0:42:07.799
<v Speaker 2>You know, underneath, there's a lot of stuff going on.

0:42:08.239 --> 0:42:11.000
<v Speaker 2>Big picture, it doesn't feel how do you make sense

0:42:11.000 --> 0:42:11.600
<v Speaker 2>of this trade?

0:42:12.760 --> 0:42:16.000
<v Speaker 9>Well, I'll just be honest. We've been treading water and

0:42:16.280 --> 0:42:19.560
<v Speaker 9>for most of the you know, technical traders and quantitative

0:42:19.600 --> 0:42:23.319
<v Speaker 9>traders out there, the signals are super mixed, and it

0:42:23.400 --> 0:42:26.200
<v Speaker 9>feels like the world is waiting for a data point

0:42:26.239 --> 0:42:29.440
<v Speaker 9>to tell us where we're going. And I think that's

0:42:29.560 --> 0:42:30.320
<v Speaker 9>what's been so.

0:42:30.239 --> 0:42:33.440
<v Speaker 2>Hard, like an economic data point or a market data Yeah, okay,

0:42:33.600 --> 0:42:34.000
<v Speaker 2>I mean I.

0:42:33.920 --> 0:42:37.080
<v Speaker 9>Feel like it's anything. I don't know. I mean, every

0:42:37.160 --> 0:42:39.239
<v Speaker 9>single data point you start the week and it goes

0:42:39.719 --> 0:42:43.120
<v Speaker 9>CPI on Wednesday, and then everyone's like, okay, it's going

0:42:43.200 --> 0:42:43.600
<v Speaker 9>to come out.

0:42:43.640 --> 0:42:46.080
<v Speaker 3>And then and then nothing happened.

0:42:46.719 --> 0:42:47.760
<v Speaker 9>And then nothing happens.

0:42:48.120 --> 0:42:51.719
<v Speaker 5>We're all waiting for options expiries all of a sudden again, right,

0:42:51.880 --> 0:42:53.000
<v Speaker 5>and then nothing happens.

0:42:53.040 --> 0:42:56.719
<v Speaker 2>I'm waiting for the x dade. I don't know about you, guys. Yeah,

0:42:56.880 --> 0:42:57.480
<v Speaker 2>I'm just kidding.

0:42:57.520 --> 0:42:59.879
<v Speaker 9>I mean, yeah, I don't know. I mean, and then

0:43:00.040 --> 0:43:02.960
<v Speaker 9>and then it's like this debt ceiling stuff, and it's exactly.

0:43:03.080 --> 0:43:05.319
<v Speaker 9>It feels like somebody just tell us, like, where is

0:43:05.320 --> 0:43:09.400
<v Speaker 9>it going to go? And from our side, the signals

0:43:09.400 --> 0:43:13.200
<v Speaker 9>are so mixed and the markets are basically disagreeing, so

0:43:13.360 --> 0:43:17.600
<v Speaker 9>equities and bonds don't always agree and it's real confusing.

0:43:17.320 --> 0:43:18.799
<v Speaker 2>To be honest. This is what I want to ask you.

0:43:18.840 --> 0:43:22.160
<v Speaker 2>This is what you guys do. You look into market behavior,

0:43:22.280 --> 0:43:24.920
<v Speaker 2>that's what you study, and you study investment risk and

0:43:25.000 --> 0:43:27.440
<v Speaker 2>you share that with your clients. So I am curious.

0:43:27.480 --> 0:43:29.440
<v Speaker 2>Are you just telling your clients folks, we really don't

0:43:29.440 --> 0:43:30.040
<v Speaker 2>know what's going on?

0:43:31.080 --> 0:43:34.600
<v Speaker 9>Well that I mean, I don't think anyone knows perfectly

0:43:34.640 --> 0:43:37.160
<v Speaker 9>what's going on here. But what we're telling them is

0:43:37.200 --> 0:43:40.239
<v Speaker 9>that signals are mixed, and when you look at the

0:43:40.280 --> 0:43:44.440
<v Speaker 9>net positioning in equity markets, it sort of disagrees with

0:43:44.520 --> 0:43:47.359
<v Speaker 9>the net positioning and fixed income and if you look

0:43:47.360 --> 0:43:49.600
<v Speaker 9>at the shape of the yield curve, it's still inverted.

0:43:50.200 --> 0:43:53.239
<v Speaker 9>And people are optimistic on a pause, but at the

0:43:53.280 --> 0:43:55.399
<v Speaker 9>same time they're saying, well, but we're gonna have cuts

0:43:55.480 --> 0:43:58.799
<v Speaker 9>right away, which is also confusing. So I think that's

0:43:58.920 --> 0:44:01.560
<v Speaker 9>where right now, what we are seeing from a technical

0:44:01.600 --> 0:44:04.759
<v Speaker 9>perspective is views are definitely conflicting.

0:44:05.200 --> 0:44:07.360
<v Speaker 5>If we get cuts, I mean, isn't it wouldn't it

0:44:07.360 --> 0:44:11.040
<v Speaker 5>be terrifying If the Fed feels, if this Federal Reserve

0:44:11.120 --> 0:44:13.480
<v Speaker 5>feels it has to cut rates in twenty twenty three,

0:44:13.560 --> 0:44:16.480
<v Speaker 5>that means something awful happened exactly.

0:44:16.520 --> 0:44:19.400
<v Speaker 9>And I think that's why I'm surprised, because when you

0:44:19.440 --> 0:44:22.960
<v Speaker 9>think of it from a more rational perspective and looking

0:44:23.040 --> 0:44:26.560
<v Speaker 9>at the shape of the yield curve, either we haven't

0:44:26.600 --> 0:44:28.840
<v Speaker 9>priced in that things have to go up with inflation,

0:44:29.360 --> 0:44:31.480
<v Speaker 9>or people think that things are going to get so

0:44:31.600 --> 0:44:33.640
<v Speaker 9>bad because we're gonna have to cut quickly. To me,

0:44:34.040 --> 0:44:36.600
<v Speaker 9>cuts this year is a bad sign. It means that

0:44:36.680 --> 0:44:37.719
<v Speaker 9>things deteriorated.

0:44:37.880 --> 0:44:39.600
<v Speaker 2>Hey, forgive me. I just want to point out we

0:44:39.640 --> 0:44:41.719
<v Speaker 2>can't check a share price because Twitter is private. But

0:44:42.080 --> 0:44:46.839
<v Speaker 2>Elon Musk announcing a new CEO for x Twitter. He's

0:44:46.880 --> 0:44:51.160
<v Speaker 2>transitioning to executive chair and CTO. So again, Elon Musk

0:44:51.520 --> 0:44:55.200
<v Speaker 2>not CEO. He's getting a new CEO for ex Twitter

0:44:55.719 --> 0:44:58.040
<v Speaker 2>and he is going to be executive chair and chief

0:44:58.080 --> 0:44:59.840
<v Speaker 2>Technology officer of the company.

0:45:00.040 --> 0:45:02.560
<v Speaker 3>I don't know who on Earth would want that job.

0:45:03.680 --> 0:45:06.759
<v Speaker 5>Can you imagine? I mean, if you take over as

0:45:06.800 --> 0:45:09.560
<v Speaker 5>the boss of Twitter. You must know that you're not

0:45:09.760 --> 0:45:10.720
<v Speaker 5>the boss of Twitter.

0:45:11.000 --> 0:45:13.520
<v Speaker 2>All I would say is SpaceX. Right, he's had somebody

0:45:13.560 --> 0:45:17.239
<v Speaker 2>running that and you know it can work. So it

0:45:17.280 --> 0:45:21.560
<v Speaker 2>could be a little tricky, but nonethelessly less public, k Katie.

0:45:21.600 --> 0:45:23.680
<v Speaker 2>This is the world we live in, right, there's headlines

0:45:23.719 --> 0:45:25.920
<v Speaker 2>coming out is some are wacky. That makes sense.

0:45:26.640 --> 0:45:29.040
<v Speaker 5>It's called X Twitter Now, I guess so I didn't

0:45:29.040 --> 0:45:31.600
<v Speaker 5>realize it must announces new CEO for X.

0:45:31.680 --> 0:45:36.040
<v Speaker 2>You know he changes his life Twitter, Katie. Again, confusion,

0:45:36.200 --> 0:45:38.399
<v Speaker 2>there's sometimes confusion when it comes to Twitter and what's

0:45:38.400 --> 0:45:40.680
<v Speaker 2>going on there at confusion in the market. So how

0:45:40.719 --> 0:45:43.160
<v Speaker 2>do you trade this or do you just park it

0:45:43.200 --> 0:45:47.080
<v Speaker 2>in short term T bills or cash under the mattress

0:45:47.120 --> 0:45:50.560
<v Speaker 2>and being extreme, but you know, what do you do well?

0:45:50.600 --> 0:45:52.120
<v Speaker 9>I mean, to be honest, you have to have a

0:45:52.160 --> 0:45:55.360
<v Speaker 9>diversified approach. And there are things that will move and

0:45:55.440 --> 0:45:58.520
<v Speaker 9>have moved. We have seen some interesting moves and precious metals.

0:45:58.680 --> 0:46:00.960
<v Speaker 9>People have been talking about gold, they've been talking about silver.

0:46:02.320 --> 0:46:05.080
<v Speaker 9>There are some movements in the commodity space that are

0:46:05.080 --> 0:46:07.759
<v Speaker 9>a little bit more pronounced than what you've seen in

0:46:07.840 --> 0:46:11.560
<v Speaker 9>stocks and bonds and I think unfortunately, that's what I'm saying.

0:46:11.800 --> 0:46:14.120
<v Speaker 9>You almost have to wait until we have some confirmation

0:46:14.440 --> 0:46:17.360
<v Speaker 9>for those traditional asset classes. I'm a little bit of

0:46:17.360 --> 0:46:21.000
<v Speaker 9>a pessimistic person in the sense that I worry about

0:46:21.000 --> 0:46:24.320
<v Speaker 9>what people are not worrying about, and my worry is

0:46:24.360 --> 0:46:26.720
<v Speaker 9>the bond market. People think last year was a fluke.

0:46:27.880 --> 0:46:30.560
<v Speaker 9>If you look in periods of inflation, bonds are a

0:46:30.600 --> 0:46:33.399
<v Speaker 9>little more sensitive and more challenging. So I think that's

0:46:33.400 --> 0:46:35.080
<v Speaker 9>what I'm worried about more than anything.

0:46:34.840 --> 0:46:36.120
<v Speaker 2>Else, meaning how bad it can be.

0:46:37.320 --> 0:46:39.520
<v Speaker 9>Yeah, I mean, I think let's just take a simple

0:46:39.600 --> 0:46:43.600
<v Speaker 9>narrative of inflation staying sticky, but stickier than most people

0:46:43.600 --> 0:46:46.480
<v Speaker 9>would like. At some point you start thinking, you know,

0:46:46.520 --> 0:46:49.040
<v Speaker 9>it takes longer for the effects of the tightening to

0:46:49.120 --> 0:46:52.200
<v Speaker 9>go through the system, and thus some of the bonds

0:46:52.280 --> 0:46:54.680
<v Speaker 9>that you might own may not look as desirable. And

0:46:54.719 --> 0:46:57.799
<v Speaker 9>I think that's where people have really thought about fixed

0:46:57.840 --> 0:46:59.960
<v Speaker 9>income as the safety bet, like it's always going to

0:47:00.120 --> 0:47:03.480
<v Speaker 9>be there. But the truth is, it tends to be

0:47:03.480 --> 0:47:07.120
<v Speaker 9>better when the FED would stop hiking if the yield

0:47:07.120 --> 0:47:09.920
<v Speaker 9>curve was steeper, and right now we have it inverted,

0:47:09.960 --> 0:47:12.359
<v Speaker 9>so that means either bond yields have to go up

0:47:12.400 --> 0:47:15.239
<v Speaker 9>to match, or that we have the cuts, and either

0:47:15.239 --> 0:47:17.680
<v Speaker 9>of those are not super greats.

0:47:17.719 --> 0:47:20.960
<v Speaker 5>In general, Bill gross is recommended buying the short end

0:47:20.960 --> 0:47:23.759
<v Speaker 5>of the curve, and a lot of people are talking

0:47:23.800 --> 0:47:26.200
<v Speaker 5>about tea bills that mature right around the X state

0:47:26.239 --> 0:47:29.520
<v Speaker 5>whenever that is. But the interesting thing to me is

0:47:30.000 --> 0:47:32.360
<v Speaker 5>if they come to if you own those bonds and

0:47:32.400 --> 0:47:35.360
<v Speaker 5>then they get a deal, all of a sudden, the

0:47:35.480 --> 0:47:37.479
<v Speaker 5>value of the asset you hold is going to drop

0:47:37.560 --> 0:47:38.160
<v Speaker 5>like a stone.

0:47:38.400 --> 0:47:38.600
<v Speaker 4>Right.

0:47:39.680 --> 0:47:42.959
<v Speaker 9>Yeah, that's a tricky place to be. And I think

0:47:43.120 --> 0:47:46.560
<v Speaker 9>tea bills, especially with the narrative of thinking about politics

0:47:46.560 --> 0:47:49.879
<v Speaker 9>and resolution of those issues, for me, that's getting sort

0:47:49.880 --> 0:47:53.440
<v Speaker 9>of it's getting hard, right, And so I think there's

0:47:53.440 --> 0:47:55.799
<v Speaker 9>definitely some trades there, but they're going to be much

0:47:55.800 --> 0:47:59.600
<v Speaker 9>more complex than sort of a simple supply demand narrative.

0:48:00.600 --> 0:48:02.799
<v Speaker 9>But I do think that shorter term or even if

0:48:02.840 --> 0:48:05.440
<v Speaker 9>you're thinking out into a one year horizon, so you

0:48:05.520 --> 0:48:07.319
<v Speaker 9>kind of think that this may be resolved by then,

0:48:07.400 --> 0:48:10.640
<v Speaker 9>might make sense. If you're worried about the end of

0:48:10.640 --> 0:48:12.959
<v Speaker 9>the yield curve or the steepener trade, Why.

0:48:12.880 --> 0:48:15.919
<v Speaker 2>Don't that sets the beginning mastery well?

0:48:15.960 --> 0:48:16.200
<v Speaker 8>True?

0:48:16.239 --> 0:48:18.240
<v Speaker 3>And then why they get paid the big box exactly.

0:48:18.320 --> 0:48:21.960
<v Speaker 2>Katiekaminski, Chief Research Strategies, probably a manager Alpha Simplex Group.

0:48:22.400 --> 0:48:24.799
<v Speaker 2>Great to have you here, be well, she's joining us

0:48:25.160 --> 0:48:27.000
<v Speaker 2>or was joining us on zoom from Boston.

0:48:28.600 --> 0:48:33.279
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0:48:33.400 --> 0:48:37.120
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