WEBVTT - Retailers Manage Shrinkage Following Earnings

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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>The retail sector, which continues to come out with earnings.

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<v Speaker 2>Macy's lows and Dick's Sporting Goods all reporting shares of

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<v Speaker 2>Macy's getting slammed. COMP sales beat, but a significant drop

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<v Speaker 2>from a yoga shows that department store customers are pulling

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<v Speaker 2>back on purchases. CEO of Macy's pointing to ongoing macroeconomic

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<v Speaker 2>uncertainty and talking about promotions quote surgically implemented.

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<v Speaker 3>Sons Lake Precision.

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<v Speaker 2>This cannot be good to clear out seasonable seasonal items.

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<v Speaker 2>Dix plummeting lows, though rallying after second quarter com sales

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<v Speaker 2>and corely profit beat. Average annalistestaments a lot going on.

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<v Speaker 4>Tim, Yeah, with us, we got a great group. Bloomberg

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<v Speaker 4>Intelligence Senior retail analyst Mary Ross Gilbert joins us on

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<v Speaker 4>zoom In La and Bloomberg News reporter Simon Foxman here

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<v Speaker 4>in our Bloomberg Interactive Brokers Studio Simone. I want to

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<v Speaker 4>start with Dix and talk a little bit about this

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<v Speaker 4>issue that we heard from Target last week, not just

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<v Speaker 4>about the consumer pulling back, but about shrinkage, the industry

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<v Speaker 4>term that's used for theft, employees stealing or damaged goods.

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<v Speaker 3>What's going on.

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<v Speaker 5>I mean, it seems like a very large contributor to

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<v Speaker 5>their earnings this quarter, and we had this with Target

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<v Speaker 5>last quarter. Back in May. Target said it was cutting

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<v Speaker 5>its overall estimate for profits by five hundred million dollars

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<v Speaker 5>because of shrink and what Dix was saying here on

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<v Speaker 5>the earnings call today was simply that they had not

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<v Speaker 5>planned for this level of shrinkage. They normally get a

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<v Speaker 5>bit more shrink and account for it around the back

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<v Speaker 5>to school season, but this is more. They said, it's

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<v Speaker 5>a really big problem and that they're doing everything they

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<v Speaker 5>can to kind of combat it. But I think this

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<v Speaker 5>echoes some of the other concerns that we've heard from retailers.

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<v Speaker 5>I think one thing that maybe this is what we're

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<v Speaker 5>seeing in some of the trading today. It was just

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<v Speaker 5>such a large issue, and last time when we heard

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<v Speaker 5>Target talk about the impact overall, it was just such

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<v Speaker 5>a surprise to people. I think that it was way

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<v Speaker 5>larger than considered, and maybe that's why we're looking at shears.

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<v Speaker 2>Maybe they should put some security tags and things.

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<v Speaker 4>No, but that's so that's actually a perfect segue for

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<v Speaker 4>Mary Ross Gilbert. It's what I brought up on the

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<v Speaker 4>simulcast a little earlier, Carol, And not to step on

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<v Speaker 4>your feet, but I mean, the fact is is, if

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<v Speaker 4>you make the changes within a store to prevent theft,

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<v Speaker 4>there's a certain point where there creates so much friction

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<v Speaker 4>between the consumer experience and consumer actually trying to buy

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<v Speaker 4>something that it's not even worth going to the store anymore,

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<v Speaker 4>like trying to get deodorant in shampoo and toothpaste from

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<v Speaker 4>a CVS behind plastic. So Mary, weigh in on this.

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<v Speaker 4>What do you think of this, Mary Ross Gilbert, with

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<v Speaker 4>the idea that you know, I said, the big winner

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<v Speaker 4>with shrinkage is is e commerce because there is so

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<v Speaker 4>much friction now with actually going into a store.

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<v Speaker 6>I would agree with you there, but on the digital side,

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<v Speaker 6>Macy's was down, and actually Macy's called out shrink They

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<v Speaker 6>just didn't call it shrink, they called it shortage. It

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<v Speaker 6>kind of confused investors at first on the call, but

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<v Speaker 6>they quickly caught on, Oh yeah, they're talking about theft,

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<v Speaker 6>and that's exactly what it is. And look, we've been

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<v Speaker 6>hearing about it in the news every week. We're hearing

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<v Speaker 6>a group of grab and go theft going on, and

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<v Speaker 6>it tends to be along the luxury line. So Bloomingdale's,

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<v Speaker 6>in fact, are Bloomingdale's right next to our building here.

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<v Speaker 6>The Gucci boutique there was robbed I think about three

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<v Speaker 6>weeks ago, so there's definitely a lot of that activity

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<v Speaker 6>going on, and Macy's called that out also on their call.

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<v Speaker 6>It didn't affect their margins this quarter. They have sort

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<v Speaker 6>of budgeted for the shrink issue, but it's definitely it's

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<v Speaker 6>something that they guided to for their third quarter as

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<v Speaker 6>one of the factors as well as you know, the

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<v Speaker 6>weakness and the consumer and the fact that they saw

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<v Speaker 6>higher debt expense and that's associated with higher delinquencies. They

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<v Speaker 6>were planning for it, but it's it's much higher than

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<v Speaker 6>they planned for.

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<v Speaker 2>You know, it feels like we're all of a sudden

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<v Speaker 2>talking about shrink ange a lot. But I went back

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<v Speaker 2>and just kind of did a quick Google search, and

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<v Speaker 2>back in twenty fifteen, Bloomberg did a whole big story

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<v Speaker 2>about shrinkage at everything from Dollar General, AutoZone, Whole Foods,

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<v Speaker 2>Bed Meth and beyond, and then you know Walmart. So

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<v Speaker 2>it's been an issue that's out there. It sounds like

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<v Speaker 2>you want to jump in.

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<v Speaker 5>Yeah, it's hard to. I think one of the challenges

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<v Speaker 5>we've had, and certainly the challenge the printing has had

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<v Speaker 5>as well, is determining how large this impact actually is,

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<v Speaker 5>because yes, people are blaming shrink for things, and certainly

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<v Speaker 5>in California, the laws have changed that in a way

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<v Speaker 5>where the law doesn't punish theft up to a certain level,

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<v Speaker 5>and that seems to encourage some degree of shrink overall,

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<v Speaker 5>theft overall, but no one can kind of tell. I

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<v Speaker 5>mean one thing, you know, Timmy were talking about how

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<v Speaker 5>creating this atmosphere where people are worried about safety in

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<v Speaker 5>stores pushes people to online. It's interesting because at the

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<v Speaker 5>same time we're seeing Macy's, we're seeing Dix really invest

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<v Speaker 5>in trying to get people back into stores, whether it's

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<v Speaker 5>with Dixon House of Sport or Macy's with its smaller,

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<v Speaker 5>more boutique elements.

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<v Speaker 4>We talk about that a little bit because Dix has

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<v Speaker 4>actually just crushed it since the pandemic. I mean, the

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<v Speaker 4>stock is up six hundred and fifty percent even with

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<v Speaker 4>today's decline since March of twenty twenty, and a big

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<v Speaker 4>part of that is because of the huge investments that

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<v Speaker 4>the company has made in this experiential element. So what

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<v Speaker 4>can people do in Dick's stores that you know they

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<v Speaker 4>can't do online?

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<v Speaker 5>I think they're like rock climbing walls. You get special

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<v Speaker 5>customer service, you know, especially engaging with the customer in

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<v Speaker 5>a way that is not possible online. Right, there's already

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<v Speaker 5>an incentive to try and go to stores. If you

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<v Speaker 5>need a specific size, you don't know what tui as

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<v Speaker 5>you are, you really have to go to figure it out. Instead,

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<v Speaker 5>you're going to order multiple shoes and then you got

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<v Speaker 5>the pain of sending them back and stuff. It's trying

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<v Speaker 5>to create an incentive for people to be in stores,

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<v Speaker 5>and one of the things we've seen across retailers is

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<v Speaker 5>this investment into these smaller scale stores as well to

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<v Speaker 5>try and get people in.

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<v Speaker 2>So I want to go back to those that reported.

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<v Speaker 2>So let's go back to Macy's for a moment, Mary,

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<v Speaker 2>because what I thought was interesting, is what the CEO said.

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<v Speaker 7>And I know.

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<v Speaker 2>Our team also talked with the CEO earlier on Bloomberg

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<v Speaker 2>Television or at least for Bloomberg Television. But these surgical

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<v Speaker 2>surgically implemented talking about promotions surgically implemented to clear out

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<v Speaker 2>seasonal items. That says to me some like over inventory.

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<v Speaker 2>So is that just bad purchasing and bad decisions? Like

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<v Speaker 2>how is Macy's doing generally?

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<v Speaker 6>Yeah, so I think just to clarify the point on surgical,

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<v Speaker 6>that's actually a good thing. So what he was trying

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<v Speaker 6>to say is because they have invested in data technology

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<v Speaker 6>and analytics, they are able to target their promotions more pointedly,

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<v Speaker 6>and as a result, they're able to move out merchandise

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<v Speaker 6>more quickly and not take as much of a hit

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<v Speaker 6>as they would normally have done without that capability. So,

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<v Speaker 6>if anything, that's actually a good thing. And they were

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<v Speaker 6>able to, you know, clear out that merchandise well in

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<v Speaker 6>advance of you know, what they were planning to do,

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<v Speaker 6>So that is the good news. Yeah, going into the

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<v Speaker 6>first quarter, they were seeing strength. I think everyone was.

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<v Speaker 6>We you know, we had a good January, and then

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<v Speaker 6>all of a sudden, the world changed and we started

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<v Speaker 6>to see the declines you know, since then, and they've continued,

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<v Speaker 6>and I think, as Gannett pointed out, I mean the

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<v Speaker 6>consumer is also spending on experiences and travel, and then

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<v Speaker 6>with their fifty percent of their customers earning seventy five

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<v Speaker 6>thousand in under, they're strapped when you think about living

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<v Speaker 6>expenses being so high, and look golf prices picking up

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<v Speaker 6>some share possibly as we've seen, you know, strength in

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<v Speaker 6>their figures.

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<v Speaker 2>I did think it was interesting that the MACCFO saying

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<v Speaker 2>credit card delinquities accelerated in the second quarter, particularly in

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<v Speaker 2>June and July, which negatively impacted results. We've just got

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<v Speaker 2>about twenty five seconds left for Lows. What do we

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<v Speaker 2>need to know?

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<v Speaker 5>Housing a little bit stronger than everyone anticipated, and contractor

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<v Speaker 5>division especially kind of strong.

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<v Speaker 4>Is that because people don't want to move and they

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<v Speaker 4>don't want to they want to spend.

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<v Speaker 5>The question, right, It's a little unclear at this point.

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<v Speaker 5>You know, contractor was stronger for home depot as well,

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<v Speaker 5>which is.

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<v Speaker 2>More important to the home depots business. Isn't exactly, Yeah.

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<v Speaker 5>Home depot split is fifty five forty five, whereas Lows

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<v Speaker 5>is seventy five. DIY to twenty five typically. But this

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<v Speaker 5>is interesting, right, Maybe people are stuck, maybe they're spending more.

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<v Speaker 5>It's hard to get a sense whether this is a

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<v Speaker 5>long term trend yet because the dynamics are moving so quickly,

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<v Speaker 5>but there is an under supply of homes.

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<v Speaker 2>I will say Low's is up three point six percent,

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<v Speaker 2>so definitely an app.

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<v Speaker 5>For the one good one.

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<v Speaker 2>Yeah, I know exactly. There's not a lot. Simon Foxman

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<v Speaker 2>here in our interactive broker studio. Reporter at Bloomberg News,

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<v Speaker 2>thank you, Thank you, Mary Ross Gilbert are thanks to

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<v Speaker 2>you as well, Senior retail analyst at Bloomberg Intelligence. On

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<v Speaker 2>zoom from Los Angeles, you're listening.

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<v Speaker 1>To the Bloomberg Business Week podcast. Catch us live weekday

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<v Speaker 1>afternoons from three to six Eastern Listen on Bloomberg dot com,

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<v Speaker 2>One of my favorite moments of our broadcast was Iri

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<v Speaker 2>Jersey our interest rate strategies here at Bloomberg Intelligence talking

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<v Speaker 2>about was it on the live blog right? And he,

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<v Speaker 2>you know, I said, what's more important to you? You know,

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<v Speaker 2>in video or Jackson Hall? And I'm assuming he's going

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<v Speaker 2>to be like Oliver Jackson Hall and he talked about

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<v Speaker 2>on the blog saying, how people though we're talking about

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<v Speaker 2>the importance of Nvidia this week.

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<v Speaker 3>Yeah, you know it's funny.

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<v Speaker 4>Ben Emmons, Van Emmon's over at newl New Edge Wealth,

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<v Speaker 4>who listens to us. He has, sends a newsletter, he

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<v Speaker 4>watches us. He just sent me that story. How in

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<v Speaker 4>vidious Jensen Wong maybe driving fed rate hike expectations.

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<v Speaker 2>I just think it's interesting that you know that that

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<v Speaker 2>focal point. So anyway, this is why we wanted to

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<v Speaker 2>talk about it. We I don't always love to do previews,

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<v Speaker 2>but I felt like this was really important, and especially

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<v Speaker 2>when you've got somebody like our own Bloomberg News US

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<v Speaker 2>Semiconductor networking reporter Ian King, who knows this space so well.

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<v Speaker 2>And Ian is of course joining us on zoom from

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<v Speaker 2>San Francisco. Ian, we did see Nvidia, which has been

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<v Speaker 2>on a tear certainly this year. I just want to

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<v Speaker 2>pull it up to see how it closed today. It

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<v Speaker 2>was down about two point eight percent, but it did

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<v Speaker 2>hit another intra day record today on expectations that things

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<v Speaker 2>are going to be pretty good when it reports after

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<v Speaker 2>the close tomorrow remind us why this is such an

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<v Speaker 2>important focal point.

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<v Speaker 8>Well, if you believe in AI, if you believe that

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<v Speaker 8>this is the future of computing and that it's going

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<v Speaker 8>to revolutionize so much of the economy, then obviously, well.

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<v Speaker 9>Who's going to profit from that? First of all?

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<v Speaker 8>And you know, the company arguably the only company that's

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<v Speaker 8>really shown I've done instable impact from it already is

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<v Speaker 8>in video because the chips that they provide are absolutely

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<v Speaker 8>central to the training of all of that software that's

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<v Speaker 8>going to do all of these magical things.

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<v Speaker 9>So we're told, do you believe the hype.

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<v Speaker 8>And I believe the numbers the company? The company this

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<v Speaker 8>quarter is on course to report quarterly revenue that just

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<v Speaker 8>twenty twenty was annual revenue, So clearly there's been a

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<v Speaker 8>rapid acceleration there. It was a company that was a niche.

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<v Speaker 8>Now this data center business is absolutely huge and the

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<v Speaker 8>majority of its business, whether that's sustainable or not, we'll

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<v Speaker 8>get a window into tomorrow obviously, but in terms of proving, hey,

0:11:47.040 --> 0:11:51.360
<v Speaker 8>look here's some real numbers, we've done something. It's absolutely there.

0:11:52.360 --> 0:11:54.320
<v Speaker 8>Ask me about AI in general, and I might have

0:11:54.360 --> 0:11:55.080
<v Speaker 8>a different answer.

0:11:55.280 --> 0:11:58.640
<v Speaker 4>Well, we may get there yet, later in the program,

0:11:58.960 --> 0:12:00.960
<v Speaker 4>we did just show chart of in video stock up

0:12:01.000 --> 0:12:03.839
<v Speaker 4>more than two hundred percent. So far, you're to dating

0:12:03.920 --> 0:12:06.920
<v Speaker 4>in what is it that makes in video different? What's

0:12:07.000 --> 0:12:10.040
<v Speaker 4>the company's moat and does it have any true competitors?

0:12:11.400 --> 0:12:15.240
<v Speaker 8>They have competitors who are wildly chasing them to try

0:12:15.240 --> 0:12:18.400
<v Speaker 8>and catch up. The company's moat is that they saw

0:12:18.440 --> 0:12:21.080
<v Speaker 8>this coming. I mean, a few years ago, a company

0:12:21.120 --> 0:12:25.840
<v Speaker 8>that was making gaming chips started talking about accelerated computing,

0:12:25.920 --> 0:12:29.319
<v Speaker 8>started talking about this being a thing, and everybody was like, really,

0:12:29.640 --> 0:12:33.880
<v Speaker 8>are you sure. The CEO was talking about how many

0:12:33.960 --> 0:12:37.360
<v Speaker 8>people were at universities were training on his software every

0:12:37.360 --> 0:12:40.520
<v Speaker 8>eing quarter. We're like, yeah, we've got this many universities

0:12:40.600 --> 0:12:42.440
<v Speaker 8>now teaching people this Kuda program.

0:12:42.440 --> 0:12:45.200
<v Speaker 9>And again, well she was like, what's going on here?

0:12:45.240 --> 0:12:48.080
<v Speaker 9>Why do we care? Now? Fast forward to where we are.

0:12:48.160 --> 0:12:52.280
<v Speaker 8>Right now, everybody's using their chips, everybody's using their software

0:12:52.320 --> 0:12:56.120
<v Speaker 8>because that software allows a form of computing to happen

0:12:56.160 --> 0:12:59.120
<v Speaker 8>that was previously very very difficult, very time consuming, and

0:12:59.200 --> 0:13:02.400
<v Speaker 8>very expensive. Still expensive, but now it's possible.

0:13:02.720 --> 0:13:05.000
<v Speaker 2>I mean, at this point, considering all the conversations and

0:13:05.040 --> 0:13:07.920
<v Speaker 2>all the reporting that you know, you and just kind

0:13:07.960 --> 0:13:10.840
<v Speaker 2>of our overall team have done about the excitement of

0:13:12.720 --> 0:13:17.000
<v Speaker 2>AI in general, one would assume that their numbers have

0:13:17.080 --> 0:13:21.040
<v Speaker 2>to be blockbuster, right, or is there something in the

0:13:21.080 --> 0:13:24.160
<v Speaker 2>cycle that companies will buy some chips and then they'll

0:13:24.200 --> 0:13:25.320
<v Speaker 2>be a little bit of a lag and then they'll

0:13:25.320 --> 0:13:27.520
<v Speaker 2>buy some more. Help me out and help me understand

0:13:27.559 --> 0:13:31.200
<v Speaker 2>so that I'm hopefully somewhat smart when they report tomorrow.

0:13:31.800 --> 0:13:33.160
<v Speaker 9>No, you've You've nailed it.

0:13:33.200 --> 0:13:35.960
<v Speaker 8>That's the perfect question to be asking ahead of tomorrow,

0:13:36.000 --> 0:13:37.840
<v Speaker 8>because then if you read the analyst reports, they're all

0:13:37.880 --> 0:13:38.400
<v Speaker 8>over the place.

0:13:38.440 --> 0:13:39.559
<v Speaker 9>Why are they all over the place?

0:13:40.160 --> 0:13:43.880
<v Speaker 8>Well, three months ago Wall Street got embarrassed, right, fifty

0:13:43.920 --> 0:13:47.719
<v Speaker 8>two percent ahead of what the consensus number was, Right,

0:13:47.840 --> 0:13:50.679
<v Speaker 8>was the projection that in Video gave wow?

0:13:50.840 --> 0:13:51.080
<v Speaker 9>Right?

0:13:51.160 --> 0:13:53.319
<v Speaker 8>So what's happening this quarter is all of the analysts

0:13:53.320 --> 0:13:55.560
<v Speaker 8>that are struggling, well, is it going to be that strong?

0:13:55.600 --> 0:13:58.680
<v Speaker 8>Is it going to be stronger? Is the is the

0:13:58.679 --> 0:14:01.040
<v Speaker 8>projected range going to be even stronger than that? And

0:14:01.920 --> 0:14:04.520
<v Speaker 8>the answer is they don't really know, because you could

0:14:04.559 --> 0:14:07.119
<v Speaker 8>actually explain how strong.

0:14:06.880 --> 0:14:07.840
<v Speaker 9>In Video's numbers are.

0:14:07.880 --> 0:14:10.120
<v Speaker 8>And this is, according to Bittenstein, by just looking at

0:14:10.120 --> 0:14:12.840
<v Speaker 8>the spending of just four of these big hyperscalers of

0:14:12.880 --> 0:14:15.480
<v Speaker 8>the Microsoft's, of the Google's you factor in all of

0:14:15.520 --> 0:14:18.680
<v Speaker 8>the others, it could be even bigger. The gating factor

0:14:19.120 --> 0:14:22.560
<v Speaker 8>on the flip side is back to supply did in

0:14:22.680 --> 0:14:26.320
<v Speaker 8>video order enough chips did in video were in video

0:14:26.480 --> 0:14:29.120
<v Speaker 8>as ambitious as they could have been to capture this

0:14:29.120 --> 0:14:33.360
<v Speaker 8>because you remember, you get chips about four months after

0:14:33.400 --> 0:14:36.760
<v Speaker 8>you order them, and they outsourced production, so their estimates

0:14:36.760 --> 0:14:39.600
<v Speaker 8>of what they could do are going to be the

0:14:39.640 --> 0:14:40.640
<v Speaker 8>gating factor here.

0:14:40.720 --> 0:14:42.480
<v Speaker 2>So when I think about like, I love our supply

0:14:42.640 --> 0:14:45.680
<v Speaker 2>chain function or supply like right, who's who are the customers?

0:14:45.720 --> 0:14:47.640
<v Speaker 3>Who are the Bloomberg?

0:14:48.600 --> 0:14:52.200
<v Speaker 2>I love it? I love it, But the supply chain management,

0:14:52.480 --> 0:14:54.360
<v Speaker 2>I mean, and video's got to be on top of it,

0:14:54.440 --> 0:14:57.120
<v Speaker 2>right to make sure that they can actually meet all

0:14:57.120 --> 0:14:58.120
<v Speaker 2>the demand that's out there.

0:14:58.680 --> 0:15:00.680
<v Speaker 8>Yeah, I mean that The good news on that on

0:15:00.720 --> 0:15:04.600
<v Speaker 8>that end is that the PC market still isn't great

0:15:04.800 --> 0:15:10.200
<v Speaker 8>and the smartphone market still sucks, so TSMC isn't devoting

0:15:10.200 --> 0:15:13.240
<v Speaker 8>as much silicon to those customers, so that in theory

0:15:13.600 --> 0:15:18.240
<v Speaker 8>frees up this extra capacity for in videos what it

0:15:18.320 --> 0:15:22.720
<v Speaker 8>calls accelerators, which everybody's buying right now. As I said,

0:15:22.760 --> 0:15:26.480
<v Speaker 8>the gating factor is how well did in Video see

0:15:26.520 --> 0:15:28.680
<v Speaker 8>this coming the orders that they put in three months

0:15:28.720 --> 0:15:31.360
<v Speaker 8>ago that they're going to get chips for now, you know,

0:15:31.440 --> 0:15:33.240
<v Speaker 8>just how much of the order is in enough?

0:15:33.520 --> 0:15:37.240
<v Speaker 4>So what can Invidia tell us? What can company executives

0:15:37.280 --> 0:15:38.840
<v Speaker 4>on the call tell us about demand?

0:15:40.160 --> 0:15:42.360
<v Speaker 8>Yeah, I mean, you know, there's a lot of mixed

0:15:42.400 --> 0:15:44.840
<v Speaker 8>signals right now, general data center demand. It's not great

0:15:44.840 --> 0:15:49.160
<v Speaker 8>because everybody's spending on AI PC demand, which is another

0:15:49.240 --> 0:15:50.040
<v Speaker 8>huge market for them.

0:15:50.160 --> 0:15:50.800
<v Speaker 9>That's not great.

0:15:50.840 --> 0:15:53.880
<v Speaker 8>We don't have that many strong expectations for that part

0:15:53.920 --> 0:15:57.040
<v Speaker 8>of their business. What will be interesting, I think, and

0:15:57.160 --> 0:15:59.080
<v Speaker 8>this is what in Video has been very careful and

0:15:59.120 --> 0:16:01.440
<v Speaker 8>I think very sort of perceptive in what they've done,

0:16:01.560 --> 0:16:04.480
<v Speaker 8>is to try to spread the use of AI beyond

0:16:04.640 --> 0:16:08.120
<v Speaker 8>these so called hyperscalers, beyond the Microsoft, beyond the Googles,

0:16:08.120 --> 0:16:11.560
<v Speaker 8>beyond the facebooks, and they're trying to basically embed the

0:16:11.720 --> 0:16:13.360
<v Speaker 8>use of this technology into the.

0:16:13.360 --> 0:16:14.440
<v Speaker 9>Economy at large.

0:16:14.640 --> 0:16:17.880
<v Speaker 8>Still early days there, people will be looking for signs

0:16:17.920 --> 0:16:20.120
<v Speaker 8>of that kind of spread, of this becoming a more

0:16:20.200 --> 0:16:23.640
<v Speaker 8>sort of baked in part of the economy. And that's

0:16:23.680 --> 0:16:25.840
<v Speaker 8>back to your earlier comments. I think if they can

0:16:25.840 --> 0:16:28.640
<v Speaker 8>show progress there, then the excitement can continue and it

0:16:28.680 --> 0:16:31.720
<v Speaker 8>won't just be a factor of what Google is spending

0:16:31.760 --> 0:16:32.320
<v Speaker 8>every quarter.

0:16:32.560 --> 0:16:34.800
<v Speaker 4>So what does that look like when we actually see

0:16:34.920 --> 0:16:38.440
<v Speaker 4>AI spread throughout the economy beyond these hyperscalers.

0:16:39.120 --> 0:16:43.880
<v Speaker 8>I mean, initially for in video, it looks like companies

0:16:44.520 --> 0:16:47.840
<v Speaker 8>that you wouldn't expect to be direct users of invidious

0:16:47.880 --> 0:16:53.560
<v Speaker 8>technology becoming exactly that. So you have maybe pharmaceutical companies

0:16:53.680 --> 0:16:57.600
<v Speaker 8>using accelerated computing for drug discovery instead of using the

0:16:57.640 --> 0:17:01.760
<v Speaker 8>traditional methods to get the approval that they would go

0:17:01.800 --> 0:17:04.280
<v Speaker 8>through the experimentation progress, Maybe we do it all on

0:17:04.320 --> 0:17:06.600
<v Speaker 8>a computer. If they start ordering in a big way,

0:17:07.160 --> 0:17:10.080
<v Speaker 8>it's spread into that side. This is an affirmation of

0:17:10.119 --> 0:17:12.160
<v Speaker 8>in video, this isn't just a one hit wonder. This,

0:17:12.160 --> 0:17:15.320
<v Speaker 8>this isn't a one use thing. So we need that

0:17:15.400 --> 0:17:18.520
<v Speaker 8>kind of use a case to emerge and to become

0:17:18.520 --> 0:17:21.240
<v Speaker 8>embedded and for that to become a significant part of

0:17:21.280 --> 0:17:21.800
<v Speaker 8>the spending.

0:17:22.040 --> 0:17:24.360
<v Speaker 2>I mean that goes into the euphoria side of it, right,

0:17:24.400 --> 0:17:26.840
<v Speaker 2>Like if this just premeates in terms of the AI,

0:17:27.000 --> 0:17:30.600
<v Speaker 2>the generative AI impacting everything that we do, I mean,

0:17:30.720 --> 0:17:33.520
<v Speaker 2>man often running right, I.

0:17:33.520 --> 0:17:36.960
<v Speaker 8>Mean it's it's you've seen the stories we've written them ourselves,

0:17:37.119 --> 0:17:40.840
<v Speaker 8>and you've had these conversations. Are we at the beginnings

0:17:40.880 --> 0:17:43.640
<v Speaker 8>of the internet here where pets dot com and everybody

0:17:43.680 --> 0:17:46.959
<v Speaker 8>else got a wild voluation that was based upon nothing,

0:17:47.440 --> 0:17:49.960
<v Speaker 8>or are we at the beginning of something which is

0:17:50.040 --> 0:17:55.280
<v Speaker 8>more profound and more going to be much deeper embedded

0:17:55.280 --> 0:17:59.480
<v Speaker 8>in economic activity. Obviously in Video is arguing that that's

0:17:59.520 --> 0:18:02.600
<v Speaker 8>the case. Some people who are concerned that the valuations

0:18:02.600 --> 0:18:03.960
<v Speaker 8>are saying, maybe this is a fad.

0:18:04.359 --> 0:18:06.440
<v Speaker 4>You and I asked you earlier about you know, who

0:18:06.560 --> 0:18:09.480
<v Speaker 4>competes with in video? You said, competitors are chasing them

0:18:09.480 --> 0:18:12.119
<v Speaker 4>and the difference within videos that in video start coming.

0:18:12.640 --> 0:18:14.560
<v Speaker 4>But who are as close as competitors right now?

0:18:14.560 --> 0:18:15.720
<v Speaker 3>I mean, is there anyone?

0:18:17.320 --> 0:18:21.280
<v Speaker 8>Two companies AMD obviously another graphics maker. They have a

0:18:21.400 --> 0:18:25.760
<v Speaker 8>directly comparable product to in video that's coming in the

0:18:25.800 --> 0:18:29.120
<v Speaker 8>fourth quarter of this year. We'll see just how quick

0:18:29.160 --> 0:18:31.679
<v Speaker 8>the uptake is on that. They've given strong projection, so

0:18:32.200 --> 0:18:35.120
<v Speaker 8>we'll see. And the other one is obviously Intel. They

0:18:35.200 --> 0:18:39.200
<v Speaker 8>already are in this market. But again software how easy

0:18:39.280 --> 0:18:42.480
<v Speaker 8>it is to use what they're going to provide, because

0:18:42.480 --> 0:18:46.480
<v Speaker 8>in Video has made what they provide very easy to use,

0:18:46.720 --> 0:18:48.119
<v Speaker 8>very just plug and play.

0:18:48.440 --> 0:18:50.400
<v Speaker 9>As far as the industry is concerned.

0:18:50.040 --> 0:18:54.000
<v Speaker 2>You're incredible as always. Ian King, Bloomberg News US semiconductor

0:18:54.000 --> 0:18:55.760
<v Speaker 2>and networking reporter, just knows everything.

0:18:55.840 --> 0:18:57.000
<v Speaker 3>YEA, what are you doing tomorrow?

0:18:58.680 --> 0:19:00.520
<v Speaker 2>Get some sleep, buddy.

0:19:00.760 --> 0:19:04.320
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:19:04.359 --> 0:19:08.359
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:19:08.560 --> 0:19:11.840
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:19:11.960 --> 0:19:15.040
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0:19:15.480 --> 0:19:18.280
<v Speaker 1>Just say Alexa Play Bloomberg eleven thirty.

0:19:20.440 --> 0:19:23.280
<v Speaker 4>Perhaps you're like me and in your wallet you've got

0:19:23.280 --> 0:19:25.280
<v Speaker 4>a couple of different health insurance cards. One is for

0:19:25.320 --> 0:19:27.320
<v Speaker 4>your medical insurance. It's the one you give to your

0:19:27.320 --> 0:19:29.920
<v Speaker 4>doctor's office. The other one is for your prescriptions, which

0:19:29.960 --> 0:19:32.040
<v Speaker 4>you present to the pharmacy when you pick up a medication.

0:19:32.520 --> 0:19:33.120
<v Speaker 3>That prescription.

0:19:33.160 --> 0:19:35.560
<v Speaker 4>One could be for a pharmacy benefit manager, also known

0:19:35.960 --> 0:19:37.040
<v Speaker 4>as a PBM.

0:19:37.280 --> 0:19:39.359
<v Speaker 2>Yeah, PBMs, Come on, you know what they are?

0:19:39.359 --> 0:19:40.639
<v Speaker 7>They do you? Well?

0:19:40.720 --> 0:19:43.440
<v Speaker 2>This is why you and do you know what they are?

0:19:43.480 --> 0:19:45.760
<v Speaker 2>We haven't talked about this so much off air. They

0:19:45.800 --> 0:19:49.159
<v Speaker 2>negotiate cheaper prices for employers in health plans. They also

0:19:49.280 --> 0:19:52.600
<v Speaker 2>pocket drug makers cash, which you maybe didn't know about.

0:19:52.800 --> 0:19:55.000
<v Speaker 2>They're under fire from all directions right now. Blue Shield

0:19:55.040 --> 0:19:58.560
<v Speaker 2>of California last week say replaced some drug procurement services

0:19:58.560 --> 0:20:03.320
<v Speaker 2>from CBS Health's Care PBM with an amalgam of rival offerings.

0:20:03.359 --> 0:20:05.400
<v Speaker 2>In that sent shares of CBS sliding. We all kind

0:20:05.400 --> 0:20:07.919
<v Speaker 2>of like stood up a little straighter when that headline crossed.

0:20:07.960 --> 0:20:08.679
<v Speaker 3>Yeah, that was a big one.

0:20:08.680 --> 0:20:11.720
<v Speaker 4>And then officials is divers as FTC Commission Chair Lina

0:20:11.800 --> 0:20:14.040
<v Speaker 4>Kahn and Florida Governor Ron de Santis, they want more

0:20:14.040 --> 0:20:17.159
<v Speaker 4>transparency from them. There's a story about PBMs and how

0:20:17.160 --> 0:20:19.720
<v Speaker 4>they grab extra cash for themselves from the very parties

0:20:19.720 --> 0:20:21.960
<v Speaker 4>they're supposed to be playing hardball against. It's in the

0:20:22.080 --> 0:20:25.240
<v Speaker 4>upcoming issue of Bloomberg Business Week. It's on newsstands later

0:20:25.280 --> 0:20:27.280
<v Speaker 4>this week. It's already online though, at Bloomberg dot com,

0:20:27.280 --> 0:20:30.200
<v Speaker 4>Slash BusinessWeek and on the Bloomberg terminal with more. We

0:20:30.280 --> 0:20:32.440
<v Speaker 4>got the author of the story, John Tozzi. He's Bloomberg

0:20:32.440 --> 0:20:35.760
<v Speaker 4>News healthcare reporter. Also here is the editor of Bloomberg BusinessWeek,

0:20:35.840 --> 0:20:38.800
<v Speaker 4>Joel Weber. He's in our Bloomberg Interactive Broker's studio.

0:20:39.160 --> 0:20:39.400
<v Speaker 9>Joel.

0:20:39.400 --> 0:20:41.399
<v Speaker 4>When I saw there was a story in the in

0:20:41.480 --> 0:20:44.879
<v Speaker 4>the issue of Bloomberg Business Week about PBMs. I immediately just

0:20:44.880 --> 0:20:48.240
<v Speaker 4>thought it was related to last week's news about Blue

0:20:48.400 --> 0:20:52.280
<v Speaker 4>about California Blue Shield of California, you know, saying hey,

0:20:52.320 --> 0:20:53.960
<v Speaker 4>we're gonna go with Mark Cuban startup, We're gonna go

0:20:54.040 --> 0:20:56.720
<v Speaker 4>with Amazon startup. But the story's much bigger than that.

0:20:57.119 --> 0:20:57.399
<v Speaker 3>Yeah.

0:20:57.440 --> 0:21:01.959
<v Speaker 10>Well, I just had no idea how lucrative is to

0:21:02.119 --> 0:21:04.760
<v Speaker 10>get between you know, you and your prescriptions. And it

0:21:04.840 --> 0:21:09.760
<v Speaker 10>turns out that we're not alone, and how that feels

0:21:09.880 --> 0:21:13.120
<v Speaker 10>like a big deal, and that even places like the

0:21:13.359 --> 0:21:18.760
<v Speaker 10>FTC Federal Trade Commission has also shown an interest. John

0:21:18.960 --> 0:21:22.760
<v Speaker 10>has been on this for a while and has kept

0:21:22.840 --> 0:21:25.919
<v Speaker 10>me abreast of his interest in it, and so I

0:21:25.960 --> 0:21:28.439
<v Speaker 10>was really glad to see it. But how does this

0:21:28.480 --> 0:21:31.720
<v Speaker 10>break down, John, Because the very people who are supposed

0:21:31.720 --> 0:21:37.560
<v Speaker 10>to be keeping our drug prices affordable maybe aren't maybe

0:21:37.560 --> 0:21:39.480
<v Speaker 10>don't have my best interests at heart.

0:21:39.720 --> 0:21:42.400
<v Speaker 7>Yeah, So this has been an issue in.

0:21:43.720 --> 0:21:46.399
<v Speaker 10>You were just you know, like with somebody that we

0:21:46.440 --> 0:21:47.840
<v Speaker 10>could you know, take advantage of.

0:21:47.840 --> 0:21:50.000
<v Speaker 11>I'm sorry, John, this has been an issue in the

0:21:50.000 --> 0:21:52.760
<v Speaker 11>industry for a long time. People who have followed it

0:21:52.960 --> 0:21:56.520
<v Speaker 11>know about rebates. So basically what happens is you go

0:21:56.640 --> 0:21:59.359
<v Speaker 11>to the pharmacy, you fill a prescription, your health plan

0:21:59.560 --> 0:22:04.040
<v Speaker 11>pays the full dollar amount of that prescription, and then

0:22:04.240 --> 0:22:08.399
<v Speaker 11>after the fact, at some point, the drug manufacturer the

0:22:08.480 --> 0:22:13.159
<v Speaker 11>pharma company, sends a rebate for part of the value

0:22:13.160 --> 0:22:17.080
<v Speaker 11>of the drug to your pharmacy benefit manager, and the

0:22:17.119 --> 0:22:21.560
<v Speaker 11>pharmacy benefit manager sends part or all of that rebate

0:22:21.640 --> 0:22:24.040
<v Speaker 11>back to your health plan. And this is something that

0:22:24.160 --> 0:22:26.560
<v Speaker 11>has been debated for years how much of the rebate

0:22:26.560 --> 0:22:29.520
<v Speaker 11>gets passed through. Employers and other people who pay for

0:22:29.560 --> 0:22:32.520
<v Speaker 11>healthcare have said we need to have one hundred percent

0:22:32.560 --> 0:22:35.080
<v Speaker 11>of the rebates passed through. There's been this increasing pressure

0:22:35.320 --> 0:22:37.000
<v Speaker 11>to kind of get all this money coming from the

0:22:37.040 --> 0:22:40.120
<v Speaker 11>drug makers back to the people who are ultimately paying

0:22:40.680 --> 0:22:41.760
<v Speaker 11>for the drugs.

0:22:41.800 --> 0:22:42.800
<v Speaker 2>Why are there rebates?

0:22:44.480 --> 0:22:45.159
<v Speaker 7>Good question.

0:22:46.240 --> 0:22:48.600
<v Speaker 11>I don't know if we have time for it here,

0:22:49.600 --> 0:22:51.920
<v Speaker 11>but you know, I mean like this is sort of

0:22:52.000 --> 0:22:56.560
<v Speaker 11>a system of payments and complexity that is built up

0:22:56.600 --> 0:22:57.119
<v Speaker 11>over years.

0:22:57.560 --> 0:22:57.760
<v Speaker 7>One.

0:22:59.280 --> 0:23:01.560
<v Speaker 11>You know, what the PA say is that they lower

0:23:01.720 --> 0:23:05.880
<v Speaker 11>drug prices by getting these They lower net costs by

0:23:05.880 --> 0:23:09.960
<v Speaker 11>getting these rebates and other discounts from the pharma companies.

0:23:09.960 --> 0:23:13.160
<v Speaker 11>They aggregate buying power, they aggregate demand, and they can

0:23:13.240 --> 0:23:15.600
<v Speaker 11>go to the table with pharma and say, you know,

0:23:16.000 --> 0:23:19.159
<v Speaker 11>give us, give us money back on these drugs. The

0:23:19.240 --> 0:23:23.120
<v Speaker 11>question is, you know, where does that go and who

0:23:23.560 --> 0:23:25.000
<v Speaker 11>who really benefits from it?

0:23:26.080 --> 0:23:30.840
<v Speaker 10>Okay, so Tim mentioned that there are some new players around.

0:23:31.160 --> 0:23:35.360
<v Speaker 10>How's this going down within the industry? Like this does

0:23:35.400 --> 0:23:39.359
<v Speaker 10>seem like you know that there's an opportunity here to

0:23:39.720 --> 0:23:41.600
<v Speaker 10>you know, maybe take advantage of consumers.

0:23:41.640 --> 0:23:46.200
<v Speaker 3>But there are other approaches that you know are out

0:23:46.240 --> 0:23:47.800
<v Speaker 3>there as options.

0:23:47.400 --> 0:23:48.879
<v Speaker 11>Right, So, I mean, one thing to know is that

0:23:48.880 --> 0:23:51.639
<v Speaker 11>there's been a tremendous amount of consolidation in the market

0:23:51.680 --> 0:23:55.280
<v Speaker 11>over the years. So there are now three main PBMs

0:23:55.320 --> 0:23:57.560
<v Speaker 11>that control about eighty percent of the market.

0:23:57.760 --> 0:23:59.720
<v Speaker 2>I hadn't realized have been around since the sixties. I

0:23:59.720 --> 0:24:00.959
<v Speaker 2>don't know why. I thought it was a newer thing,

0:24:01.000 --> 0:24:02.639
<v Speaker 2>but forgive me good Yeah.

0:24:02.960 --> 0:24:06.200
<v Speaker 11>And and they're also like those businesses are integrated with

0:24:06.320 --> 0:24:10.080
<v Speaker 11>much larger companies that also own health insurance companies. Uh,

0:24:10.119 --> 0:24:13.080
<v Speaker 11>you know, you have CVS Health, which owns ATNA, United Health,

0:24:13.080 --> 0:24:17.280
<v Speaker 11>whichnes optimar X PBM Signal, which oones Express Scripts PBM.

0:24:17.400 --> 0:24:19.679
<v Speaker 11>So they have their arms and a lot of different

0:24:19.720 --> 0:24:24.000
<v Speaker 11>businesses that are all related. There is growing competition in

0:24:24.040 --> 0:24:25.960
<v Speaker 11>the PBM market. There are a lot of new entrants,

0:24:25.960 --> 0:24:29.840
<v Speaker 11>a lot of new tech focused companies, companies that say

0:24:29.840 --> 0:24:34.120
<v Speaker 11>they're uh, you know, making more transparent offerings, but they're

0:24:34.200 --> 0:24:38.000
<v Speaker 11>very small, and you know what traction they're getting is

0:24:38.040 --> 0:24:40.720
<v Speaker 11>still you know, still to be.

0:24:40.640 --> 0:24:42.920
<v Speaker 7>Seen because those three big players still dominate the market.

0:24:43.080 --> 0:24:44.200
<v Speaker 3>Do you need a PBM?

0:24:45.359 --> 0:24:48.639
<v Speaker 11>You know, the industry says that employers are not forced

0:24:48.680 --> 0:24:51.399
<v Speaker 11>to contract for PBM services and they choose to do

0:24:51.480 --> 0:24:54.240
<v Speaker 11>so anyway, and you know that's that's their position. I

0:24:54.240 --> 0:25:00.840
<v Speaker 11>think realistically, you know, there's there's not a your alternative

0:25:00.920 --> 0:25:04.199
<v Speaker 11>right now. If you're providing prescription drug coverage, this is

0:25:04.240 --> 0:25:06.120
<v Speaker 11>sort of the avenue to do it.

0:25:06.200 --> 0:25:08.120
<v Speaker 7>But with the blue how did it work.

0:25:08.000 --> 0:25:10.040
<v Speaker 2>Before they became so dominant in.

0:25:10.000 --> 0:25:13.040
<v Speaker 3>The nineteen sixties or before, like I don't know, like they.

0:25:13.000 --> 0:25:15.560
<v Speaker 2>Have PBMs always had a role here.

0:25:15.800 --> 0:25:19.560
<v Speaker 11>Well, I mean one thing is, you know, the role

0:25:19.640 --> 0:25:24.240
<v Speaker 11>that prescription drugs play in healthcare has grown incredibly in

0:25:24.280 --> 0:25:26.760
<v Speaker 11>that period. Right there are more new drugs, more expensive

0:25:26.840 --> 0:25:29.720
<v Speaker 11>drugs every year. You know, in the nineteen sixties, I

0:25:29.720 --> 0:25:30.160
<v Speaker 11>don't have it.

0:25:30.080 --> 0:25:30.520
<v Speaker 7>In front of me.

0:25:30.600 --> 0:25:35.200
<v Speaker 11>But the prescription spend was you know, much less than

0:25:35.240 --> 0:25:37.119
<v Speaker 11>it is now. So part of this is like an

0:25:37.119 --> 0:25:41.280
<v Speaker 11>evolution to you know, new innovation on the pharmacide that's

0:25:41.400 --> 0:25:44.439
<v Speaker 11>very expensive here in the United States, where you know,

0:25:44.520 --> 0:25:47.359
<v Speaker 11>we have a free market for healthcare and the drug

0:25:47.400 --> 0:25:49.280
<v Speaker 11>makers can set their prices as high as they want,

0:25:49.320 --> 0:25:52.159
<v Speaker 11>and so this is sort of an industry that's evolved

0:25:52.240 --> 0:25:56.200
<v Speaker 11>in response to that. But you know, there are there

0:25:56.240 --> 0:26:00.000
<v Speaker 11>are increasing questions around, you know, how it actually worked

0:26:00.240 --> 0:26:04.199
<v Speaker 11>and whether they are you know, whether they're clients, the

0:26:04.280 --> 0:26:08.080
<v Speaker 11>employers are fully capturing the value of the discounts that

0:26:08.119 --> 0:26:08.960
<v Speaker 11>they get. Okay.

0:26:08.960 --> 0:26:13.240
<v Speaker 10>So FTC has weighted into this and subpoena affiliates of

0:26:13.960 --> 0:26:19.359
<v Speaker 10>PBMs called group purchasing organizations. I don't usually think of

0:26:19.560 --> 0:26:23.280
<v Speaker 10>the FTC and you know, drugs being in the same place.

0:26:23.320 --> 0:26:25.760
<v Speaker 10>I think usually more like kind of big tech crackdowns.

0:26:25.800 --> 0:26:28.320
<v Speaker 10>But what is the FTC's interest here.

0:26:28.800 --> 0:26:33.320
<v Speaker 11>So the FTC has subpoenaed the PBMs themselves and then

0:26:33.359 --> 0:26:37.199
<v Speaker 11>these affiliates, the group purchasing organizations as well. You know,

0:26:37.280 --> 0:26:41.360
<v Speaker 11>I think as a competition regulator they have and particularly

0:26:41.400 --> 0:26:45.240
<v Speaker 11>under Lena Khan, they have sort of taken a close

0:26:45.280 --> 0:26:48.440
<v Speaker 11>look at this industry. They're doing what is essentially a

0:26:48.520 --> 0:26:53.480
<v Speaker 11>study of competition. So it's not, you know, it's not

0:26:53.520 --> 0:26:56.760
<v Speaker 11>an enforcement action. They're kind of gathering information and will

0:26:57.000 --> 0:27:02.200
<v Speaker 11>presumably produce a report at some point, you know. But again,

0:27:02.240 --> 0:27:04.920
<v Speaker 11>there has been a tremendous amount of consolidation in the industry,

0:27:05.000 --> 0:27:08.320
<v Speaker 11>I think, you know, and these are companies that have

0:27:08.400 --> 0:27:11.120
<v Speaker 11>a lot of influence over what drugs are available.

0:27:11.200 --> 0:27:14.160
<v Speaker 2>Well, and I also feel like rebates is a loaded word.

0:27:14.359 --> 0:27:16.479
<v Speaker 2>It just says like I'm getting a rebate, like something's

0:27:16.480 --> 0:27:17.399
<v Speaker 2>got to be good about it.

0:27:17.480 --> 0:27:20.200
<v Speaker 4>But when I hear a rebate, I think to myself, Okay,

0:27:20.240 --> 0:27:21.679
<v Speaker 4>this is, you know, a way to get you to

0:27:21.680 --> 0:27:24.439
<v Speaker 4>buy something with the hope of you not actually cashing

0:27:24.440 --> 0:27:25.200
<v Speaker 4>in this rebate.

0:27:25.440 --> 0:27:27.480
<v Speaker 11>Well, the thing about a rebate is by the time

0:27:27.480 --> 0:27:29.680
<v Speaker 11>you get it, you've already paid for it, right that

0:27:29.880 --> 0:27:32.800
<v Speaker 11>you're not. It's it's not an upfront discount, although there

0:27:32.800 --> 0:27:37.040
<v Speaker 11>are those two, it's you know, so, and then what

0:27:37.119 --> 0:27:40.000
<v Speaker 11>happens to those dollars when they do flow back to

0:27:40.040 --> 0:27:42.720
<v Speaker 11>the plan. How much goes to the actual patient who

0:27:42.720 --> 0:27:44.760
<v Speaker 11>paid maybe the full cost of the drug if they

0:27:44.760 --> 0:27:45.639
<v Speaker 11>have a high deductible.

0:27:45.720 --> 0:27:47.800
<v Speaker 2>That's what I wanted to ask you, executives from the

0:27:47.920 --> 0:27:50.359
<v Speaker 2>three the three big PBMs, this is in your story,

0:27:50.520 --> 0:27:53.240
<v Speaker 2>so that they pass almost all the rebates they receive

0:27:53.280 --> 0:27:56.040
<v Speaker 2>from drug makers back to clients. But we don't really

0:27:56.040 --> 0:27:56.520
<v Speaker 2>know that, do.

0:27:56.560 --> 0:28:01.560
<v Speaker 11>We well or do they They say they do, and in

0:28:01.600 --> 0:28:05.600
<v Speaker 11>some programs, like in medicare, there are regulations around requiring

0:28:05.600 --> 0:28:08.080
<v Speaker 11>them to do that. But the other thing that we've

0:28:08.320 --> 0:28:11.760
<v Speaker 11>sort of come to learn is that even as they

0:28:11.800 --> 0:28:14.000
<v Speaker 11>say they're passing back almost all of the rebates or

0:28:14.000 --> 0:28:17.919
<v Speaker 11>all the rebates in some cases, there's other money they

0:28:17.960 --> 0:28:21.880
<v Speaker 11>are getting from drug makers that is not called a rebate.

0:28:22.200 --> 0:28:25.960
<v Speaker 11>So it's called a manufacturer administrative fee, or an inflation

0:28:26.080 --> 0:28:28.640
<v Speaker 11>protection fee, or a data fee, or you know five

0:28:28.760 --> 0:28:30.480
<v Speaker 11>or six other different terms that show.

0:28:30.280 --> 0:28:32.080
<v Speaker 2>My SELFE trail. Is this what this is?

0:28:32.160 --> 0:28:32.280
<v Speaker 6>Like?

0:28:32.280 --> 0:28:34.000
<v Speaker 2>Like all these crazy little fills anyway?

0:28:34.080 --> 0:28:35.000
<v Speaker 7>It so it sounds like it.

0:28:35.040 --> 0:28:40.000
<v Speaker 11>Well, right, And so, I mean, one of the questions

0:28:40.160 --> 0:28:44.520
<v Speaker 11>employers have is, you know, how much money are these

0:28:44.600 --> 0:28:48.000
<v Speaker 11>companies making from pharma companies?

0:28:48.840 --> 0:28:50.440
<v Speaker 7>And it's money that is tied to.

0:28:50.400 --> 0:28:53.960
<v Speaker 11>The prescriptions that you know, you and I are filling, right,

0:28:54.080 --> 0:28:56.720
<v Speaker 11>and so where does that go, and that's sort of

0:28:56.720 --> 0:28:57.440
<v Speaker 11>the big.

0:28:58.760 --> 0:29:00.520
<v Speaker 7>Unanswered question and all all of this.

0:29:01.120 --> 0:29:01.720
<v Speaker 1>Where does it go?

0:29:02.360 --> 0:29:02.959
<v Speaker 7>Where does it go?

0:29:03.160 --> 0:29:09.440
<v Speaker 10>Yeah, there is a bipartisan interest in perhaps regulating this space.

0:29:10.760 --> 0:29:14.440
<v Speaker 10>Is this one of those areas that everyone in DC

0:29:14.920 --> 0:29:16.080
<v Speaker 10>actually gets along about.

0:29:17.280 --> 0:29:18.880
<v Speaker 7>I think there is a lot of agreement.

0:29:18.960 --> 0:29:21.880
<v Speaker 11>You know, we've seen bipartisan bills both in the House

0:29:22.040 --> 0:29:26.000
<v Speaker 11>and in the Senate from several committees. You know, one thing,

0:29:26.120 --> 0:29:29.400
<v Speaker 11>just the political context here is you know, last year

0:29:29.440 --> 0:29:32.360
<v Speaker 11>in the Inflation Reduction Act, that took kind of a

0:29:32.360 --> 0:29:36.880
<v Speaker 11>big swing at pharma because Medicare will be able to

0:29:36.880 --> 0:29:41.080
<v Speaker 11>negotiate drug prices for the first time, and PBMs are

0:29:41.320 --> 0:29:44.160
<v Speaker 11>sort of kind of next up in a way that

0:29:45.000 --> 0:29:49.560
<v Speaker 11>you know, Congress has been looking at this industry pretty closely,

0:29:49.760 --> 0:29:52.720
<v Speaker 11>and we'll see if there's action on that in this session.

0:29:52.880 --> 0:29:55.080
<v Speaker 2>I thought it was really interesting too that it was noted.

0:29:55.080 --> 0:29:56.240
<v Speaker 2>I think it was a quote from somebody in the

0:29:56.280 --> 0:29:59.880
<v Speaker 2>story about how these fees that these PBMs get, that

0:30:00.080 --> 0:30:02.520
<v Speaker 2>they're tied to the price of a drug, even though

0:30:02.560 --> 0:30:05.920
<v Speaker 2>the process doesn't matter if the drug costs twenty bucks

0:30:06.080 --> 0:30:07.160
<v Speaker 2>or two thousand dollars.

0:30:07.280 --> 0:30:09.160
<v Speaker 11>Yeah, that's one of the really interesting things about this

0:30:09.200 --> 0:30:11.920
<v Speaker 11>whole business is like a lot of people, a lot

0:30:11.960 --> 0:30:15.200
<v Speaker 11>of actors' fees are tied to a drugs a list price.

0:30:15.720 --> 0:30:20.120
<v Speaker 11>So you know the argument is that if your fee

0:30:20.160 --> 0:30:22.160
<v Speaker 11>is tied to the list price, then you make more

0:30:22.200 --> 0:30:25.440
<v Speaker 11>money on higher price drugs, so you have incentives to

0:30:27.120 --> 0:30:30.920
<v Speaker 11>you know, cover and sell and promote higher price prasim Pick.

0:30:30.800 --> 0:30:34.800
<v Speaker 2>Anybody, right, well, you know, pick a list.

0:30:34.760 --> 0:30:38.040
<v Speaker 4>Right we go, v Hey, John, I wanted to go

0:30:38.200 --> 0:30:41.200
<v Speaker 4>back to what happened last week when Blue Shield of

0:30:41.240 --> 0:30:45.120
<v Speaker 4>California said I was going to replace some of its

0:30:45.960 --> 0:30:51.440
<v Speaker 4>PBM reliance. So it was using CBS health Care mark

0:30:51.520 --> 0:30:54.160
<v Speaker 4>the PBM for pretty much everything, and now it's going

0:30:54.240 --> 0:30:57.800
<v Speaker 4>to use those upstarts that Joel mentioned mark Cubans, cost

0:30:57.840 --> 0:31:02.040
<v Speaker 4>plus Drugs, something from Amazon. How closely is the industry

0:31:02.080 --> 0:31:04.800
<v Speaker 4>watching this, because we saw a lot of stocks move

0:31:04.880 --> 0:31:05.840
<v Speaker 4>south as a result of this.

0:31:06.080 --> 0:31:08.960
<v Speaker 11>Yeah, I mean what's interesting is that Blue Shield of

0:31:09.000 --> 0:31:13.280
<v Speaker 11>California is using some newcomers. It's also still using CVS

0:31:13.320 --> 0:31:16.640
<v Speaker 11>for this specialty specialty drugs, which is maybe half or

0:31:16.680 --> 0:31:20.360
<v Speaker 11>more of its pharmacy bend. So and it's also using

0:31:20.400 --> 0:31:24.040
<v Speaker 11>another PBM called Prime Therapeutics that has a relationship with

0:31:24.320 --> 0:31:28.120
<v Speaker 11>sickness express Scripts. So there they are doing something different,

0:31:28.400 --> 0:31:32.680
<v Speaker 11>they are not totally disentackling them from the existing system.

0:31:32.880 --> 0:31:34.960
<v Speaker 4>So does that essentially tell us that, Okay, the future

0:31:34.960 --> 0:31:36.600
<v Speaker 4>of PVMs could be in specialties.

0:31:37.400 --> 0:31:41.920
<v Speaker 11>That is definitely a growing area both of you know,

0:31:41.960 --> 0:31:44.160
<v Speaker 11>for drug makers and for PBMs.

0:31:44.680 --> 0:31:46.320
<v Speaker 7>You know, kind of high cost.

0:31:46.600 --> 0:31:51.960
<v Speaker 11>Drugs that are called specialty. Although the definition around what

0:31:52.040 --> 0:31:54.240
<v Speaker 11>is especially drug and what isn't is a little fuzzy

0:31:54.240 --> 0:31:57.240
<v Speaker 11>sometimes too, but yeah, that is that is a place

0:31:57.280 --> 0:31:59.000
<v Speaker 11>when you listen to these companies, that is a place

0:31:59.000 --> 0:32:01.720
<v Speaker 11>where they are growing and you know, they have clinical

0:32:01.760 --> 0:32:04.400
<v Speaker 11>programs around specialty drugs, and you know they're making more

0:32:04.440 --> 0:32:05.640
<v Speaker 11>and more of their profits there.

0:32:06.120 --> 0:32:11.760
<v Speaker 10>Okay, John, you know this space incredibly well, You're always

0:32:11.760 --> 0:32:14.040
<v Speaker 10>all over it. Tell me something that you learned while

0:32:14.080 --> 0:32:15.360
<v Speaker 10>you were working on this one.

0:32:16.440 --> 0:32:17.680
<v Speaker 7>You know, I had.

0:32:19.040 --> 0:32:22.360
<v Speaker 11>Actually not seen some of the contract language that we

0:32:22.520 --> 0:32:24.880
<v Speaker 11>uncovered for this story, and it is pretty it is

0:32:24.920 --> 0:32:27.280
<v Speaker 11>pretty revealing to look at. You know, we looked at

0:32:27.320 --> 0:32:30.920
<v Speaker 11>a contract of between express Scripts PBM and one of

0:32:30.960 --> 0:32:33.600
<v Speaker 11>its clients where they say, you know, we contract with

0:32:33.640 --> 0:32:37.080
<v Speaker 11>pharma companies for our own account, you know, and we

0:32:37.120 --> 0:32:40.880
<v Speaker 11>may make positive margin on those relationships, you know, so

0:32:40.960 --> 0:32:45.400
<v Speaker 11>they are disclosing that to their clients. So what they're

0:32:45.400 --> 0:32:47.720
<v Speaker 11>not you know, what nobody really knows is like how

0:32:47.760 --> 0:32:49.520
<v Speaker 11>how significant is that to their business?

0:32:49.640 --> 0:32:51.960
<v Speaker 2>And it makes me wonder, you know, as the cost

0:32:51.960 --> 0:32:54.000
<v Speaker 2>of drugs just keep going go up and up and up,

0:32:54.040 --> 0:32:57.160
<v Speaker 2>like how this potentially plays into all of it. This

0:32:57.320 --> 0:32:59.200
<v Speaker 2>is why we were obsessed with this story all there.

0:32:59.240 --> 0:33:02.120
<v Speaker 2>We were talking about it. John Tazzi, incredible, Thank you

0:33:02.120 --> 0:33:05.360
<v Speaker 2>so much your rebates in the mail. John is of

0:33:05.400 --> 0:33:07.880
<v Speaker 2>course healthcare reporter at Bloomberg News, as Joel said, just

0:33:08.000 --> 0:33:11.120
<v Speaker 2>knows this space inside and out. John of course in

0:33:11.200 --> 0:33:14.400
<v Speaker 2>our Interactor Broker Studio along with the editor of Bloomberg BusinessWeek,

0:33:14.440 --> 0:33:17.120
<v Speaker 2>Joel Weber. Catch this story in the upcoming new issue

0:33:17.400 --> 0:33:20.720
<v Speaker 2>A BusinessWeek at on newstands on Thursday, already online at

0:33:20.760 --> 0:33:23.320
<v Speaker 2>Bloomberg dot com, slash BusinessWeek and on the Bloomberg Termolk.

0:33:23.320 --> 0:33:29.440
<v Speaker 1>Guys, Thank you, This is Bloomberg Business Wait inside from

0:33:29.440 --> 0:33:32.640
<v Speaker 1>the reporters and editors who bring you America's most trusted

0:33:32.680 --> 0:33:36.880
<v Speaker 1>business magazine, plus global business, finance and tech news. The

0:33:37.000 --> 0:33:41.480
<v Speaker 1>Bloomberg Business Week Podcast with Carol Messer and Tim Stenebeck

0:33:41.800 --> 0:33:46.720
<v Speaker 1>from Bloomberg Radio.

0:33:47.040 --> 0:33:49.719
<v Speaker 2>Let's get to it, guys, let's talk about the market trade.

0:33:49.960 --> 0:33:53.760
<v Speaker 2>Lauren San Palipo is director and senior investment strategy analyst

0:33:53.800 --> 0:33:57.480
<v Speaker 2>for the Chief Investment Office at Bank of America. With

0:33:57.640 --> 0:34:02.200
<v Speaker 2>us on phone in New York City, big title, tell me, like,

0:34:02.280 --> 0:34:05.440
<v Speaker 2>what is it that kind of from day to day

0:34:05.720 --> 0:34:06.920
<v Speaker 2>is always on your mind?

0:34:08.480 --> 0:34:11.640
<v Speaker 12>Well, I mean, particularly for summertime. This has been interesting

0:34:11.719 --> 0:34:15.759
<v Speaker 12>recently after a really strong seven months, right, We've been

0:34:15.840 --> 0:34:18.600
<v Speaker 12>watching stocks certainly rip to the upside here. It's a

0:34:18.600 --> 0:34:20.719
<v Speaker 12>little bit of a digestion here in August, so that's

0:34:20.760 --> 0:34:24.239
<v Speaker 12>making for an interesting August, and rates have certainly.

0:34:23.960 --> 0:34:26.239
<v Speaker 2>August is supposed to be, or has of late, right,

0:34:26.280 --> 0:34:30.600
<v Speaker 2>the second worst month for stocks, September being the worst.

0:34:30.760 --> 0:34:32.719
<v Speaker 2>So we have seen this trade before. We kind of

0:34:32.760 --> 0:34:34.240
<v Speaker 2>take a breather in August.

0:34:34.719 --> 0:34:36.560
<v Speaker 12>That's right, yep. And so I'm not looking forward to

0:34:36.560 --> 0:34:40.120
<v Speaker 12>September either your point worst season or worst month of

0:34:40.160 --> 0:34:40.719
<v Speaker 12>the season here.

0:34:40.760 --> 0:34:44.600
<v Speaker 4>So seasonality, Lauren, do you think what's happening is fundamental

0:34:44.719 --> 0:34:45.240
<v Speaker 4>or technical?

0:34:47.160 --> 0:34:49.440
<v Speaker 12>I think it's a little bit of both. I mean,

0:34:49.520 --> 0:34:53.279
<v Speaker 12>so that seasonality is certainly not helping maybe a little

0:34:53.280 --> 0:34:56.200
<v Speaker 12>bit technical too. We've seen those valuations run up, and

0:34:56.440 --> 0:34:58.840
<v Speaker 12>I think this digestion is a little bit called for.

0:35:00.320 --> 0:35:05.120
<v Speaker 2>So if September is worse, how much worse?

0:35:06.160 --> 0:35:06.279
<v Speaker 9>Now?

0:35:06.360 --> 0:35:07.880
<v Speaker 2>How much are you looking for? Like a ten percent

0:35:07.880 --> 0:35:10.319
<v Speaker 2>correction on all the major equity averages? Like give us

0:35:10.320 --> 0:35:13.120
<v Speaker 2>an idea. If you look at some individual names, you

0:35:13.200 --> 0:35:17.480
<v Speaker 2>certainly can see some interesting trends, But what is it

0:35:17.480 --> 0:35:20.399
<v Speaker 2>that you're looking for specifically? And again, is it technical fundamental?

0:35:20.719 --> 0:35:23.520
<v Speaker 2>Is it just what I think.

0:35:23.320 --> 0:35:27.040
<v Speaker 12>You could see? You know, I think under ten percent,

0:35:27.560 --> 0:35:30.120
<v Speaker 12>it's not abnormal for markets to be pulling back by

0:35:30.120 --> 0:35:32.879
<v Speaker 12>that amount a few times a year. So the fact

0:35:32.920 --> 0:35:34.799
<v Speaker 12>that we've just gone sort of straight up into the

0:35:34.880 --> 0:35:38.600
<v Speaker 12>right here on the chart sort of makes for this

0:35:38.680 --> 0:35:43.319
<v Speaker 12>pullback scenario in September. So I'm weary, But at the

0:35:43.360 --> 0:35:46.279
<v Speaker 12>same time, we've actually capitalized on some of these pullbacks.

0:35:46.440 --> 0:35:48.799
<v Speaker 12>We think about buying into the market, because you know,

0:35:48.840 --> 0:35:51.799
<v Speaker 12>the market really hasn't afforded those opportunities here to date.

0:35:52.080 --> 0:35:52.719
<v Speaker 1>Think or do.

0:35:55.080 --> 0:35:57.360
<v Speaker 2>Think about buying into the market or do you actually

0:35:57.719 --> 0:35:58.640
<v Speaker 2>buy into the market.

0:35:58.760 --> 0:36:02.160
<v Speaker 12>Well, we're advising clients, yes, okay too.

0:36:01.920 --> 0:36:04.120
<v Speaker 2>Yeah, And are they listening? Are they a little nervous too.

0:36:05.280 --> 0:36:08.319
<v Speaker 12>I mean, well, you're seeing this year sort of this

0:36:08.440 --> 0:36:10.960
<v Speaker 12>idea that there are alternatives out there, right, So we

0:36:11.080 --> 0:36:14.399
<v Speaker 12>have seen some of these elevated cash positions. Money market

0:36:14.440 --> 0:36:17.920
<v Speaker 12>funds certainly attractive here at five percent, so that's really yield.

0:36:18.000 --> 0:36:23.600
<v Speaker 12>So there's certainly some yield chasing happening. But yeah, we're

0:36:23.640 --> 0:36:26.560
<v Speaker 12>looking to just deploy those on these opportunities now through

0:36:26.680 --> 0:36:27.160
<v Speaker 12>year end.

0:36:28.120 --> 0:36:30.440
<v Speaker 4>Are you at all concerned about what we've heard from retailers,

0:36:31.280 --> 0:36:35.440
<v Speaker 4>specifically target Walmart? But we heard this week with executives

0:36:35.440 --> 0:36:37.839
<v Speaker 4>saying that the consumer is pulling back a little bit.

0:36:38.880 --> 0:36:41.200
<v Speaker 12>I think the tone of retailers, to your point, has

0:36:41.280 --> 0:36:45.040
<v Speaker 12>gotten a little bit more cautious. In first quarter, we

0:36:45.239 --> 0:36:48.040
<v Speaker 12>heard some evidence of trading down, but today felt a

0:36:48.080 --> 0:36:50.600
<v Speaker 12>lot different, right, I mean, we learned that more folks

0:36:50.640 --> 0:36:53.080
<v Speaker 12>are sort of at different levels of income, they're shopping

0:36:53.120 --> 0:36:56.239
<v Speaker 12>in big box discount stores, and then more alarming, there's

0:36:56.280 --> 0:36:59.799
<v Speaker 12>even evidence of shrink or effects for those retailers. So

0:37:00.120 --> 0:37:02.040
<v Speaker 12>I think that has to be telling you something.

0:37:02.320 --> 0:37:04.440
<v Speaker 4>What do you think the theft tells us, the shrink

0:37:04.480 --> 0:37:04.880
<v Speaker 4>tells us?

0:37:05.800 --> 0:37:08.880
<v Speaker 12>Well, I mean, my guess people steal out of necessity.

0:37:08.960 --> 0:37:11.239
<v Speaker 12>So that's not great. We're seeing credit card balance is

0:37:11.280 --> 0:37:13.719
<v Speaker 12>also extremely elevated. You hear that from the FED, so

0:37:14.120 --> 0:37:16.799
<v Speaker 12>the retailers, plus what the FEEDA has been telling us,

0:37:16.800 --> 0:37:20.160
<v Speaker 12>it's sort of the same story here, right, although it's been.

0:37:20.000 --> 0:37:21.000
<v Speaker 2>Happening for years.

0:37:21.320 --> 0:37:23.320
<v Speaker 4>It's just at a different scale now, I think, Carol.

0:37:23.960 --> 0:37:25.880
<v Speaker 4>But I think, like you said, Carol, it's the question

0:37:25.960 --> 0:37:28.920
<v Speaker 4>of and Lauren, tell us, if you have this data,

0:37:29.320 --> 0:37:31.600
<v Speaker 4>it's I won't say it's troubling, but what I would

0:37:31.600 --> 0:37:33.600
<v Speaker 4>like to know from these companies. I don't want them

0:37:33.600 --> 0:37:36.960
<v Speaker 4>to lump all these losses together, like you know, I

0:37:37.000 --> 0:37:39.280
<v Speaker 4>want to know exactly how much they're losing just from

0:37:39.600 --> 0:37:42.080
<v Speaker 4>not from damage and not from employees stealing, but from

0:37:42.080 --> 0:37:46.200
<v Speaker 4>customers stealing. Do you do you get any of that data?

0:37:47.400 --> 0:37:49.719
<v Speaker 12>I have not ever seen that data out there, but

0:37:49.840 --> 0:37:52.400
<v Speaker 12>you'd be surprised how much. I mean, in Manhattan here

0:37:52.440 --> 0:37:54.719
<v Speaker 12>in New York City, all of the plastic that's up

0:37:54.719 --> 0:37:56.919
<v Speaker 12>in front of products, you would think shrink would be down,

0:37:57.000 --> 0:38:00.759
<v Speaker 12>theft would be down. So I think this is sort

0:38:00.800 --> 0:38:05.000
<v Speaker 12>of unfortunately a sign of the times, and it's really

0:38:05.080 --> 0:38:06.840
<v Speaker 12>sort of a cautionary tale in my eyes.

0:38:07.200 --> 0:38:10.120
<v Speaker 2>When you look at the Equity Universe. I am curious,

0:38:10.239 --> 0:38:12.600
<v Speaker 2>are there certain areas of the market that you think

0:38:12.640 --> 0:38:16.040
<v Speaker 2>are more interesting when it comes to investment potential and

0:38:16.080 --> 0:38:17.000
<v Speaker 2>return potential?

0:38:18.160 --> 0:38:22.160
<v Speaker 12>Yes, And I think sector wise, energy complex it's been

0:38:22.920 --> 0:38:26.480
<v Speaker 12>Joane August has been good for energy. Valuations are certainly

0:38:26.480 --> 0:38:29.600
<v Speaker 12>some of the cheapest in the SMP. That's not the

0:38:29.600 --> 0:38:31.520
<v Speaker 12>best reason to buy, but I think a very good

0:38:31.560 --> 0:38:34.040
<v Speaker 12>reason to own energy is to own them over the

0:38:34.040 --> 0:38:37.520
<v Speaker 12>next cycle. And they also have some really healthy balance sheets.

0:38:37.560 --> 0:38:40.440
<v Speaker 12>So I like energy here. And also healthcare actually is

0:38:40.480 --> 0:38:43.239
<v Speaker 12>just the second sector it for its defensive qualities. I

0:38:43.239 --> 0:38:44.560
<v Speaker 12>think healthcare looks interesting.

0:38:45.480 --> 0:38:47.480
<v Speaker 3>It's why healthcare specifically.

0:38:48.560 --> 0:38:51.359
<v Speaker 12>I think the AI story is additive to healthcare, and

0:38:51.400 --> 0:38:54.719
<v Speaker 12>I think that's a little bit overlooked. I know we've

0:38:54.719 --> 0:38:56.799
<v Speaker 12>been talking about the AI story for some time now,

0:38:56.800 --> 0:39:01.200
<v Speaker 12>but that productivity enhancement that AI can really offer, that

0:39:01.280 --> 0:39:02.080
<v Speaker 12>seems compelling.

0:39:02.280 --> 0:39:03.640
<v Speaker 4>And where do you think the value Where do you

0:39:03.640 --> 0:39:05.319
<v Speaker 4>think the value is added there? Where do you you

0:39:05.360 --> 0:39:09.280
<v Speaker 4>know who ends up making money when it gets more productive?

0:39:09.320 --> 0:39:11.480
<v Speaker 4>Because if there is an area that is right for disruption,

0:39:11.560 --> 0:39:14.160
<v Speaker 4>it's certainly healthcare. Ask anyone who's waited, you know, months

0:39:14.160 --> 0:39:15.759
<v Speaker 4>to see a doctor and then waits hours in the

0:39:15.760 --> 0:39:16.840
<v Speaker 4>office to see the doctor.

0:39:17.800 --> 0:39:20.120
<v Speaker 12>Right, it made worse by the pandemic. It wasn't so

0:39:20.280 --> 0:39:23.759
<v Speaker 12>kind to healthcare, i'd say, and you know telehealth add

0:39:23.840 --> 0:39:25.560
<v Speaker 12>it sort of moment in the sun when we couldn't

0:39:25.600 --> 0:39:28.080
<v Speaker 12>go into offices. But you're right to think that sort

0:39:28.120 --> 0:39:32.080
<v Speaker 12>of healthcare. I think the infrastructure could definitely use an upgrade.

0:39:32.960 --> 0:39:35.280
<v Speaker 2>Where don't want you want to be in this investment

0:39:35.320 --> 0:39:36.120
<v Speaker 2>cycle right now?

0:39:37.760 --> 0:39:42.200
<v Speaker 12>Well, we've backed away from the ultra defensive areas of

0:39:42.239 --> 0:39:45.920
<v Speaker 12>the market, and I think, you know, there are some

0:39:46.160 --> 0:39:49.440
<v Speaker 12>valuations in tech that don't seem so compelling here, but

0:39:49.520 --> 0:39:52.439
<v Speaker 12>we do. But we do like that balance between tech,

0:39:52.520 --> 0:39:55.200
<v Speaker 12>Like I said, AI that opportunity, but those are some

0:39:55.560 --> 0:39:58.680
<v Speaker 12>you know, high quality plays we think that are certainly

0:39:58.719 --> 0:40:00.000
<v Speaker 12>good for portfolios here.

0:40:00.719 --> 0:40:03.120
<v Speaker 4>I know you can't name names necessarily, but when you

0:40:03.200 --> 0:40:05.560
<v Speaker 4>talk about AI and high quality, give us give us

0:40:05.600 --> 0:40:07.799
<v Speaker 4>some themes here, because I think there are some concerns

0:40:07.840 --> 0:40:11.359
<v Speaker 4>that the AI story is still Okay, Well, we believe

0:40:11.400 --> 0:40:12.879
<v Speaker 4>it's going to be big, but you need to show

0:40:12.920 --> 0:40:13.880
<v Speaker 4>us that it's actually.

0:40:13.600 --> 0:40:14.200
<v Speaker 3>Going to be big.

0:40:15.239 --> 0:40:17.480
<v Speaker 12>Yeah, without naming names, I mean, I think tomorrow is

0:40:17.480 --> 0:40:21.839
<v Speaker 12>a big day. In an individual'snog. But you know, it's

0:40:21.840 --> 0:40:24.879
<v Speaker 12>always interesting to see a single company has actually become

0:40:24.960 --> 0:40:28.279
<v Speaker 12>a big time macro story. It's sort of the bone

0:40:28.360 --> 0:40:31.600
<v Speaker 12>weather right of the AI theme, and that's been a

0:40:31.719 --> 0:40:34.879
<v Speaker 12>very predominant narrative that's played out in inequities this year.

0:40:34.920 --> 0:40:37.000
<v Speaker 12>But I also think it's a really great check on

0:40:37.040 --> 0:40:40.600
<v Speaker 12>supply chains and you know, the shortages that we've been

0:40:40.600 --> 0:40:41.960
<v Speaker 12>talking about since the pandemic.

0:40:42.400 --> 0:40:44.759
<v Speaker 3>I like calling it. That's what Carol's been saying too.

0:40:44.840 --> 0:40:47.440
<v Speaker 3>You're like, the well I want Nvidia macro story.

0:40:47.960 --> 0:40:49.040
<v Speaker 12>You can say it, not me.

0:40:50.520 --> 0:40:53.120
<v Speaker 2>No, I really appreciate it. Lauren, take care. Lauren San Philippo,

0:40:53.200 --> 0:40:55.840
<v Speaker 2>director of Senior Investment Strategy analyst for the Chief Investment

0:40:55.920 --> 0:40:58.439
<v Speaker 2>Office every BAA on the phone in New York City.

0:40:58.520 --> 0:41:03.799
<v Speaker 2>I just know we're all so like Gaga over AI.

0:41:04.280 --> 0:41:06.640
<v Speaker 2>If Nvidia continues to see demand kind of grow into

0:41:06.680 --> 0:41:09.080
<v Speaker 2>that valuation, that's a big gross story going forward.

0:41:09.120 --> 0:41:11.760
<v Speaker 3>What if it doesn't wa wah, mom, get.

0:41:11.640 --> 0:41:12.360
<v Speaker 2>Ready for correction.

0:41:12.960 --> 0:41:13.760
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