WEBVTT - Micron Gives Strong Forecast in Sign That Demand Is Rebounding

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<v Speaker 1>This is Bloomberg business Week 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 1>Those do the ones in today, Those do the world

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<v Speaker 1>and be lost on away because.

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<v Speaker 2>It joins bring back on the memories and the memories,

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<v Speaker 2>Bring back Memories, Bring back You is a terminate of

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<v Speaker 2>a member.

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<v Speaker 3>Well, It's Bloomberg Business Week, Tim Stenebeck and Bailey Lipswolt's

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<v Speaker 3>live in the Bloomberg Interactive Brokers Studio. Shares of Micron

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<v Speaker 3>Technologies up by wow, about three point six percent as

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<v Speaker 3>we speak right now. The shares of rallied more than

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<v Speaker 3>sixty percent so far this year. Worth repeating some of

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<v Speaker 3>the news. The company maintained its quarterly diven end at

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<v Speaker 3>eleven and a half cents per share. The company is

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<v Speaker 3>seeing second quarter earnings per share from thirty five cents

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<v Speaker 3>to twenty one sense. The consensus was sixty two cents

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<v Speaker 3>per share. Let's get an instant reaction from Dan Morgan.

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<v Speaker 3>He joins us this afternoon on Skype. Dan good to

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<v Speaker 3>have you back with us. He's senior portfolio manager of

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<v Speaker 3>course at Sunova's trust company. Love it when you join

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<v Speaker 3>us whenever we have the chip company's report, Micron Technology,

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<v Speaker 3>you've had five minutes to look at the company's results

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<v Speaker 3>as shares higher in the after hours before that call

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<v Speaker 3>takes place.

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<v Speaker 4>What are your immediate reactions.

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<v Speaker 5>Well, Tim, I think overall, obviously it has to be

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<v Speaker 5>construed as a very strong beat. I mean, the numbers

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<v Speaker 5>were kind of moving around on the first quarter. We

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<v Speaker 5>know they originally came in on sales at four point

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<v Speaker 5>four billion with a plus or minus two hundred million.

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<v Speaker 5>Then they raised their guidance to about four point seven

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<v Speaker 5>and then they beat that number at four point seven

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<v Speaker 5>to three billion. That was up sixteen percent on the

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<v Speaker 5>first quarter. They also guided, as you probably mentioned, going

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<v Speaker 5>into the second quarter five point one to five point

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<v Speaker 5>five billion in revenues. Street was looking for four point

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<v Speaker 5>nine to nine. And then on the bottom line, it

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<v Speaker 5>was a beat across the board in terms of they

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<v Speaker 5>didn't lose as much money as everybody expected. Right in

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<v Speaker 5>the first quarter they only lost ninety five cents, and

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<v Speaker 5>then going in the second quarter, they're looking for a

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<v Speaker 5>range of a loss of twenty one to thirty five.

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<v Speaker 5>The street was looking for a loss of sixty two. So,

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<v Speaker 5>you know, just a preliminary look at these numbers, Tim

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<v Speaker 5>and Bailey, they look very very strong, and it reiterated

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<v Speaker 5>to give further evidence that the rebound that began in

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<v Speaker 5>the really the February of twenty twenty three in the

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<v Speaker 5>chip industry is definitely gaining momentum. We're starting to see

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<v Speaker 5>that in the memory space.

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<v Speaker 2>And with that momentum, what's going to be key in

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<v Speaker 2>twenty twenty four just looking at the results AI obviously

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<v Speaker 2>and the spending around that as it relates to data

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<v Speaker 2>centers is helping, is that what's going to carry Micron

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<v Speaker 2>in some of those chip making peers, I mean, AI.

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<v Speaker 5>Is important for them, probably not going to see that

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<v Speaker 5>come to fruition until sometime in the second half of

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<v Speaker 5>next year. They have two products that they currently are

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<v Speaker 5>working on. One is called double Data Rate DDR. The

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<v Speaker 5>other one is called high Bandwidth Memory. Those are chips

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<v Speaker 5>that go into some of these high end AI data

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<v Speaker 5>servers that you would see let's say with an Nvidia

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<v Speaker 5>chip going in there, that would be the memory that

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<v Speaker 5>got would go in to that server. With the Nvidia products,

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<v Speaker 5>so that's definitely a big demand cycle for them. The

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<v Speaker 5>other thing you know we're seeing, guys, is we're seeing

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<v Speaker 5>a rebound in PCs and we're seeing a rebound in

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<v Speaker 5>regards to smartphones, which is about thirty one percent of

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<v Speaker 5>the total chip market. So those were two areas that

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<v Speaker 5>were really hurting. We had auto and industrial that were

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<v Speaker 5>previously strong, but we're seeing a nice bounce back after

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<v Speaker 5>we had that big blip on the upside after COVID.

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<v Speaker 3>Hey I'm looking at FAGO on the Bloomberg terminal and

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<v Speaker 3>it's got a great breakdown of where Micron's revenue actually

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<v Speaker 3>comes from. So in the physical twenty three, about half

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<v Speaker 3>came from the US, half internationally, and then when you

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<v Speaker 3>break down dan international, this is the point Scarlett was making.

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<v Speaker 3>You had seventeen point four percent of revenue coming from

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<v Speaker 3>Taiwan and you had fourteen percent of that revenue or

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<v Speaker 3>fourteen percent of the forty nine percent of revenue international

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<v Speaker 3>revenue coming from mainland China excluding Hong Kong. What do

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<v Speaker 3>investors need to understand when it comes to the China

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<v Speaker 3>story and Micron.

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<v Speaker 5>We know what's interesting is that Micron doesn't have a

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<v Speaker 5>huge amount of exposure to China. I know that everyone's

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<v Speaker 5>talking about the restrictions and that was a seven issue.

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<v Speaker 4>That's been seventeen and a half percent. Is it nothing? Well,

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<v Speaker 4>I know, but compared to fourteen percent, I should say.

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<v Speaker 5>Yeah, Qualcom has almost sixty percent. That's what I meant

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<v Speaker 5>when we compare with the shift companies. But yeah, I

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<v Speaker 5>mean that's going to be the real uh, you know,

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<v Speaker 5>gorilla in the room as we get into this conference

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<v Speaker 5>call coming up with the man as a team, I'm

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<v Speaker 5>sure the analysts are going to really kind of want

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<v Speaker 5>to zero in on, you know, how much of impact

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<v Speaker 5>is that going to have in their ability to kind

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<v Speaker 5>of continue to replicate some of the success they had

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<v Speaker 5>in this first quarter in terms of recovery. And you know,

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<v Speaker 5>you're right. I mean, you take out a certain chunk

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<v Speaker 5>of that revenue that's huge, and that's part of that

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<v Speaker 5>recovery story. I guess what I was trying to relate

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<v Speaker 5>it to is when you look at Micron compared to

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<v Speaker 5>a lot of the other big chip makers, especially Qualcomm,

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<v Speaker 5>they have a pretty low exposure of China, but you're right,

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<v Speaker 5>it's still a pretty high amount of their business. When

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<v Speaker 5>you're looking at you know, fifteen percent plus.

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<v Speaker 3>So is it should should investors be worried about regulatory

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<v Speaker 3>risk about you know, in the US cracking down on

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<v Speaker 3>those sales.

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<v Speaker 5>Well, I mean it seems like there's regulatory risk now

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<v Speaker 5>guys in all of these chip companies, right and even Apple,

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<v Speaker 5>So that's always a risk that's out there. So far,

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<v Speaker 5>it hasn't really a dramatic impact, Like, for example, Nvidia

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<v Speaker 5>has a couple of their chips that have been banned

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<v Speaker 5>and they've been trying to work around it with some

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<v Speaker 5>chips that meet the specifications. In terms of these concerns

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<v Speaker 5>that China has raised, they're able to sell in those spaces.

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<v Speaker 5>So far, I haven't seen dramatic impacts in terms of,

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<v Speaker 5>you know, bringing down sales and earning vestments because of

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<v Speaker 5>the China exposure with the chip players. But it is

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<v Speaker 5>definitely something that could become a problem down the road,

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<v Speaker 5>and it could be something that would kind of throw,

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<v Speaker 5>you know, a stick in the spoke of the wheel

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<v Speaker 5>here of this great recovery that we're getting in the

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<v Speaker 5>chip space.

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<v Speaker 2>And Dan, I'm just looking at the release and some

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<v Speaker 2>of the comments from management basically talking about business fundamentals

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<v Speaker 2>improving throughout twenty twenty four, but already talking about record

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<v Speaker 2>industry tam for twenty twenty five. Is that an all

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<v Speaker 2>a concern or surprised to hear and see companies already

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<v Speaker 2>looking to twenty five when we haven't even flipped the

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<v Speaker 2>calendar to twenty four.

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<v Speaker 5>Well, I think everyone's looking forward to this recovery coming

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<v Speaker 5>to fruition. And you know, as you start to move

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<v Speaker 5>out of the hole that we had in the probably

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<v Speaker 5>about the first quarter of twenty three. You know, how

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<v Speaker 5>long is the typical chip cycle. Typically they don't last

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<v Speaker 5>that long. So I think you're seeing already people kind

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<v Speaker 5>of building in that will continue to see the recovery

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<v Speaker 5>through this year as it continues to work into some

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<v Speaker 5>of these other spaces I mentioned before, like industrial and auto,

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<v Speaker 5>And then the question is when does this peak out

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<v Speaker 5>and we start to go the other way, and you know,

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<v Speaker 5>how can we forecast that and how much carry through

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<v Speaker 5>will we have and will China be a catalyst that

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<v Speaker 5>leads up to this this turn again in the cycle.

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<v Speaker 5>So again everyone kind of looking ahead, right, Everybody trades

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<v Speaker 5>these stocks on what's going to happen six months to

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<v Speaker 5>twelve months down the road.

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<v Speaker 3>As if we could know what's going to happen six

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<v Speaker 3>to twelve months down the road, right, I guess.

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<v Speaker 4>That's what Tim knows. He's not going to tell us

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<v Speaker 4>what's that?

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<v Speaker 5>I said, Tim knows, but.

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<v Speaker 4>He's just yeah, exactly, that's what.

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<v Speaker 3>That's why I'm doing this because I can see the

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<v Speaker 3>BacT like, hey, hey, Dan, you know to that end

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<v Speaker 3>talking about the AI impact here. It's something that the

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<v Speaker 3>company CEO calls out quite a bit in the press

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<v Speaker 3>release this afternoon, and I'm wondering where you think we

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<v Speaker 3>are in terms of value capture from the AI rush,

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<v Speaker 3>specifically for Micron, Like how much more room is there

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<v Speaker 3>to run when it comes to AI.

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<v Speaker 5>I think that's a great opportunity for them going forward.

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<v Speaker 5>I mean, there's been a lot of studies out that

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<v Speaker 5>have kind of thrown some numbers around. For example, in

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<v Speaker 5>twenty three they expect total d RAM revenues from AI

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<v Speaker 5>to be about sixteen percent, and then by twenty twenty

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<v Speaker 5>seven to expand to fifty six percent, and then along

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<v Speaker 5>the way, obviously you're creeping up in terms of overall

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<v Speaker 5>revenues being generated from AI. But to me, that's probably

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<v Speaker 5>the biggest opportunity I talked about earlier in the conversation

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<v Speaker 5>about how these chips are paired up with a lot

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<v Speaker 5>of these Nvidia AI chips, and you know, Nvidia continues

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<v Speaker 5>to do extremely well. AMD's got some new AI products

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<v Speaker 5>coming out, So I think that's going to be the

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<v Speaker 5>greatest opportunity going forward, just because you guys know that

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<v Speaker 5>the memory market is extremely cyclical. It's a very commoditized industry.

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<v Speaker 5>They have to compete against Samsung and at Mail and

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<v Speaker 5>all these other players in the space, so it's it's

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<v Speaker 5>a tough, tough sled. So how do you carve out

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<v Speaker 5>an opportunity for growth for yourself, and that is to

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<v Speaker 5>align yourself with some of these AI chip makers and

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<v Speaker 5>continue to garner a larger share of that overall AI

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<v Speaker 5>memory space. And it's obviously going to be a huge

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<v Speaker 5>growth component within memory, which is huge, right, takes away

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<v Speaker 5>some of the cyclicality that we typically have in PCs

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<v Speaker 5>and servers and smartphones and the other things that are

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<v Speaker 5>out there that obviously create this this up and down

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<v Speaker 5>cycle in memory.

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<v Speaker 2>Yeah, and we only have about thirty seconds left, but

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<v Speaker 2>looking at the charts in Nvidia, more than two hundred percent,

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<v Speaker 2>AMD one to ten. Broadcom had doubled so far here

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<v Speaker 2>today before pulling back a bit. What stocks do you

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<v Speaker 2>like with in the semispace.

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<v Speaker 5>Well, you mentioned a lot of them. I mean, obviously

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<v Speaker 5>in Vidio is a holding of ours. Qualcomm they have

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<v Speaker 5>the A one hundred chip that should go into smartphones.

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<v Speaker 5>We like Broadcom. They reported a couple of weeks ago

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<v Speaker 5>they had a pretty good report. They mentioned some of

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<v Speaker 5>the strengths of getting in their Jericho three, which is

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<v Speaker 5>their AI offering in terms of growth. So those would

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<v Speaker 5>be some of the names you know that We've been

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<v Speaker 5>kind of focusing on TIS in there too, but they've

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<v Speaker 5>been a little bit underwater with the auto industrial space

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<v Speaker 5>being so weak. But though would be some top names

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<v Speaker 5>that you just mentioned that we're currently on our buy list.

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<v Speaker 4>Dan, We love it when you join us.

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<v Speaker 3>Usually it's on days when chip companies report earnings, and

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<v Speaker 3>that's been quite a bit recently.

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<v Speaker 4>Really appreciate it.

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<v Speaker 3>Dan Morgan, senior portfolio manager at so Novus Trust Company,

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<v Speaker 3>joining us on the phone from Atlanta.

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<v Speaker 4>This is Bloomberg Business Week.

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<v Speaker 4>Well, you saw the alercs last night.

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<v Speaker 3>Donald Trump ineligible to serve as US president because of

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<v Speaker 3>his actions inciting the January sixth, twenty twenty one attack

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<v Speaker 3>on the US Capitol. That's Colorada's highest court's finding. This

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<v Speaker 3>is an unprecedented ruling that's headed for the US Supreme Court,

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<v Speaker 3>no doubt.

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<v Speaker 4>Here's what happened.

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<v Speaker 3>Colorada Supreme Court issued this ruling late Tuesday, which barred

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<v Speaker 3>Trump from the states March fifth primary ballot, but stayed

0:11:31.120 --> 0:11:33.880
<v Speaker 3>the decision to allow the former president to appeal, which

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<v Speaker 3>his campaign said he plans to do. He has until

0:11:36.320 --> 0:11:38.880
<v Speaker 3>January fourth, By the way, under the state's court ruling.

0:11:39.240 --> 0:11:41.960
<v Speaker 3>It's a legal story, but it's also a political story

0:11:42.200 --> 0:11:46.760
<v Speaker 3>with wide ranging implications for both politics and legal stuff.

0:11:47.040 --> 0:11:49.240
<v Speaker 3>For the legal side, we turned to June Grosso. She's

0:11:49.240 --> 0:11:51.960
<v Speaker 3>Bloomberg News, a legal analyst and host of Bloomberg Law

0:11:52.200 --> 0:11:55.160
<v Speaker 3>weeknights at ten pm Wall Street Time on Bloomberg Radio.

0:11:55.000 --> 0:11:56.320
<v Speaker 4>To find out all the legal stuff.

0:11:56.320 --> 0:11:58.439
<v Speaker 3>You just listened to June for the political side, we

0:11:58.480 --> 0:12:01.280
<v Speaker 3>turned to Jody Schneider, political news director at Bloomberg Television

0:12:01.280 --> 0:12:05.040
<v Speaker 3>and Radio. She joins us from our Washington, DC bureau. Jody,

0:12:05.080 --> 0:12:06.680
<v Speaker 3>I want to start with you to get the politics

0:12:06.760 --> 0:12:09.160
<v Speaker 3>side of this. What did we you know, what's the

0:12:09.240 --> 0:12:12.680
<v Speaker 3>sort of day two here with the other Republicans and

0:12:12.679 --> 0:12:14.960
<v Speaker 3>with what Trump is saying about this ruling.

0:12:16.080 --> 0:12:21.360
<v Speaker 6>Yeah, it's not a terrible surprise from the former president

0:12:21.960 --> 0:12:25.480
<v Speaker 6>is basically saying that this is something that has been

0:12:25.520 --> 0:12:28.040
<v Speaker 6>concocted to try to keep him out of the race

0:12:28.640 --> 0:12:32.559
<v Speaker 6>and blames Democrats. What's more interesting to me is that

0:12:32.600 --> 0:12:35.079
<v Speaker 6>the other candidates in the race, people who are running

0:12:35.120 --> 0:12:40.199
<v Speaker 6>against him for the Republican nomination, they're singing that same tune,

0:12:40.840 --> 0:12:43.680
<v Speaker 6>and they're saying they would rather win at the ballot

0:12:43.679 --> 0:12:48.800
<v Speaker 6>box than via the courts. So the Republicans, including Republicans

0:12:48.840 --> 0:12:52.040
<v Speaker 6>in the House, have really been standing with Trump in this.

0:12:52.640 --> 0:12:54.880
<v Speaker 2>And Jody, I'm just looking through Bloomberg News Morning Console

0:12:54.920 --> 0:12:57.200
<v Speaker 2>poll from last week had Trump leading Biden by five

0:12:57.240 --> 0:13:00.199
<v Speaker 2>percentage points among registered voters and had to head match

0:13:00.400 --> 0:13:04.640
<v Speaker 2>across seven swing states. Colorado had voted for Hillary Clinton

0:13:04.679 --> 0:13:06.840
<v Speaker 2>and Joe Biden the last two elections. But when you

0:13:06.840 --> 0:13:09.199
<v Speaker 2>look at this decision, what can it mean for the

0:13:09.240 --> 0:13:11.480
<v Speaker 2>presidential election given those polls.

0:13:12.400 --> 0:13:16.800
<v Speaker 6>Well, the polls are it's still early, and a lot

0:13:16.840 --> 0:13:20.880
<v Speaker 6>of people are focused on the polls about the primaries.

0:13:21.360 --> 0:13:25.880
<v Speaker 6>The general is still eleven months away. So there's two

0:13:25.920 --> 0:13:30.040
<v Speaker 6>ways to look at this. If Trump wins, and he

0:13:30.160 --> 0:13:34.400
<v Speaker 6>may well at the Supreme Court, he nominated and got

0:13:34.480 --> 0:13:37.439
<v Speaker 6>several of those people on the Supreme Court who are

0:13:37.520 --> 0:13:44.880
<v Speaker 6>now serving, that he will get some credence with Republican voters.

0:13:45.880 --> 0:13:48.719
<v Speaker 6>But where he really needs to win is in those

0:13:48.760 --> 0:13:51.800
<v Speaker 6>seven swing states, and it will be hard for him

0:13:51.840 --> 0:13:56.280
<v Speaker 6>to win with just the Republican base. And how does

0:13:56.320 --> 0:13:58.760
<v Speaker 6>this look to some of those independent voters.

0:14:00.080 --> 0:14:02.559
<v Speaker 3>Grosso come on in here, legal analyst for Bloomberg and

0:14:02.559 --> 0:14:04.679
<v Speaker 3>he's host to Bloomberg Law weeknights at ten pm Wall

0:14:04.720 --> 0:14:07.760
<v Speaker 3>Street Time on Bloomberg Radio. What did the Colorado Supreme

0:14:07.800 --> 0:14:08.360
<v Speaker 3>Court decide?

0:14:08.360 --> 0:14:08.600
<v Speaker 4>Here?

0:14:09.080 --> 0:14:12.360
<v Speaker 7>So, the Colorado Supreme Court decided that and this has

0:14:12.400 --> 0:14:16.440
<v Speaker 7>been sort of a legal debate that was started by

0:14:16.480 --> 0:14:21.120
<v Speaker 7>some conservative scholars actually whether or not under Section three

0:14:21.160 --> 0:14:24.760
<v Speaker 7>of the Fourteenth Amendment, which was passed around after the

0:14:24.800 --> 0:14:29.800
<v Speaker 7>Confederacy to prevent Confederates from getting into taking office. Whether

0:14:30.080 --> 0:14:33.840
<v Speaker 7>the language in it, there's a couple of problems, always

0:14:33.840 --> 0:14:36.880
<v Speaker 7>a couple of problems. First of all, it doesn't talk

0:14:36.960 --> 0:14:40.120
<v Speaker 7>about what an insurrection is. It doesn't say what it

0:14:40.200 --> 0:14:43.800
<v Speaker 7>means to engage in an insurrection, so that's a question

0:14:43.880 --> 0:14:47.040
<v Speaker 7>that's open. And also what it says the language is

0:14:47.080 --> 0:14:50.680
<v Speaker 7>that officers of the United States who'd take an oath

0:14:50.920 --> 0:14:54.680
<v Speaker 7>to support the constitution. It mentioned some officers. It doesn't

0:14:54.720 --> 0:14:58.240
<v Speaker 7>mention the president, so that's another question. Does it apply

0:14:58.320 --> 0:15:00.680
<v Speaker 7>to the president. So in this case, the lower court

0:15:00.760 --> 0:15:05.000
<v Speaker 7>found that, yes, there was an insurrection, Yes Donald Trump

0:15:05.040 --> 0:15:08.920
<v Speaker 7>incided that insurrection, but found that Donald Trump was not

0:15:09.080 --> 0:15:12.800
<v Speaker 7>that the presidency was not one of the offices that

0:15:13.120 --> 0:15:15.920
<v Speaker 7>you could that take place, or that one of the

0:15:16.000 --> 0:15:20.440
<v Speaker 7>officers that section three of the Fourteenth Amendment applies to.

0:15:21.240 --> 0:15:24.479
<v Speaker 7>The Colorado Supreme Court said, yes, there was an insurrection,

0:15:24.880 --> 0:15:29.280
<v Speaker 7>Yes Donald Trump incited it. But the Fourteenth Amendment, Section

0:15:29.400 --> 0:15:31.960
<v Speaker 7>three does apply to presidents, and if you look at

0:15:31.960 --> 0:15:35.160
<v Speaker 7>the history, it makes sense that it would apply to presidents.

0:15:35.200 --> 0:15:37.920
<v Speaker 7>Because someone said to me, well, you know, Jefferson Davis,

0:15:37.920 --> 0:15:40.280
<v Speaker 7>does that mean that he could have run for president?

0:15:40.840 --> 0:15:43.120
<v Speaker 7>Because the Fourteenth Amendment didn't apply to him, so it

0:15:43.240 --> 0:15:44.920
<v Speaker 7>sort of makes sense historically.

0:15:45.560 --> 0:15:48.640
<v Speaker 3>So what's the legal route that President Trump could take

0:15:48.760 --> 0:15:50.960
<v Speaker 3>now in order to get back on the ballot.

0:15:51.520 --> 0:15:54.440
<v Speaker 8>The Supreme Court is the only route. I mean, this

0:15:54.600 --> 0:15:55.800
<v Speaker 8>can't appeal.

0:15:55.440 --> 0:15:57.600
<v Speaker 3>The Colorado Supreme Court decision. Well, he could appeal it

0:15:57.680 --> 0:15:58.640
<v Speaker 3>the colorad of Supreme Court.

0:15:58.720 --> 0:16:01.000
<v Speaker 8>No, that's that's the high court in Colorado.

0:16:01.080 --> 0:16:02.800
<v Speaker 7>So the next it's not like New York where we

0:16:02.880 --> 0:16:05.080
<v Speaker 7>have the Supreme Court is the middle court.

0:16:06.040 --> 0:16:09.040
<v Speaker 8>So he has to go to the Supreme Court.

0:16:09.400 --> 0:16:12.440
<v Speaker 7>And you know, the justices here on the Colorado Supreme

0:16:12.480 --> 0:16:14.640
<v Speaker 7>Court knew what was going to happen because they gave

0:16:14.720 --> 0:16:18.440
<v Speaker 7>him enough time to appeal to the Supreme Court. And

0:16:18.560 --> 0:16:21.280
<v Speaker 7>also the language in this more than two hundred page

0:16:21.320 --> 0:16:25.240
<v Speaker 7>opinion was full of terms about how they know how

0:16:25.280 --> 0:16:29.120
<v Speaker 7>significant this is. They know it's unprecedented, and you know

0:16:29.280 --> 0:16:31.360
<v Speaker 7>it's going to be in the Supreme Court's hands whether

0:16:31.440 --> 0:16:33.880
<v Speaker 7>or not to take the case, which most people I've

0:16:33.920 --> 0:16:37.520
<v Speaker 7>spoken to say, there's really almost no choice. The Supreme

0:16:37.520 --> 0:16:40.640
<v Speaker 7>Court has to take the case because you know otherwise

0:16:40.640 --> 0:16:42.920
<v Speaker 7>what will happen in different states across the country are

0:16:42.960 --> 0:16:45.720
<v Speaker 7>going to have some states like Minnesota. The Supreme Court

0:16:45.800 --> 0:16:49.960
<v Speaker 7>there said, no, this doesn't apply any any party member.

0:16:50.200 --> 0:16:52.680
<v Speaker 7>Any party can put whoever they want on the primary ballot.

0:16:52.920 --> 0:16:54.760
<v Speaker 7>So what's going to happen with the primary is what's

0:16:54.760 --> 0:16:59.680
<v Speaker 7>going to happen with the election itself. So I think

0:16:59.760 --> 0:17:02.600
<v Speaker 7>that all bets are the Screenport will take the case.

0:17:02.960 --> 0:17:06.720
<v Speaker 2>And Jody, you mentioned this about the GOP and candidates

0:17:06.720 --> 0:17:09.680
<v Speaker 2>that Trump is running against standing with him. Is there

0:17:09.920 --> 0:17:11.919
<v Speaker 2>a route that this would play into his hands in

0:17:11.960 --> 0:17:12.359
<v Speaker 2>any way?

0:17:13.560 --> 0:17:16.720
<v Speaker 6>Well, I think certainly. The former president is very good

0:17:16.880 --> 0:17:21.000
<v Speaker 6>at taking things that happen outside the political arena, for

0:17:21.040 --> 0:17:24.440
<v Speaker 6>instance in the courts and with his indictments and charges,

0:17:24.840 --> 0:17:27.840
<v Speaker 6>and turning it into part of his narrative. And the

0:17:27.960 --> 0:17:32.000
<v Speaker 6>narrative is the Democrats are afraid of him, and they

0:17:32.040 --> 0:17:36.320
<v Speaker 6>don't want him to be the candidate, and some in

0:17:36.359 --> 0:17:38.080
<v Speaker 6>his own party don't want it to be the candidate

0:17:38.240 --> 0:17:40.880
<v Speaker 6>because he could win and they know that that is

0:17:41.080 --> 0:17:44.199
<v Speaker 6>and he will certainly make this case or try to

0:17:44.240 --> 0:17:49.239
<v Speaker 6>make this case with this as well, again, because this

0:17:49.359 --> 0:17:52.639
<v Speaker 6>is the narrative that they are against me, they're victimizing me,

0:17:53.000 --> 0:17:56.600
<v Speaker 6>they are using the judicial system where they control it

0:17:56.960 --> 0:17:59.920
<v Speaker 6>to try to get at me, and in this case,

0:18:00.440 --> 0:18:04.200
<v Speaker 6>he will probably you know, he has working with him

0:18:04.280 --> 0:18:06.560
<v Speaker 6>in terms of trying to make that argument. The fact

0:18:06.840 --> 0:18:09.639
<v Speaker 6>that all of the members of the Colorado Supreme Court

0:18:09.840 --> 0:18:15.639
<v Speaker 6>were appointed by democratic governors, So he will make it

0:18:15.680 --> 0:18:19.040
<v Speaker 6>political even if it is not entirely political. He will

0:18:19.080 --> 0:18:24.120
<v Speaker 6>not make it about January sixth entirely. And that is something, interestingly,

0:18:24.160 --> 0:18:27.160
<v Speaker 6>we haven't heard a lot from and those supporting him

0:18:27.160 --> 0:18:30.200
<v Speaker 6>on this, the Republicans who were supporting him saying this

0:18:30.320 --> 0:18:34.760
<v Speaker 6>is about not using the courts to decide who gets

0:18:34.760 --> 0:18:36.919
<v Speaker 6>on the ballot. They haven't said a whole lot about

0:18:37.160 --> 0:18:38.720
<v Speaker 6>the insurrectionist claims.

0:18:41.320 --> 0:18:44.400
<v Speaker 7>And just to follow following up on that point, yes,

0:18:44.440 --> 0:18:48.160
<v Speaker 7>he will say that it's all political, and yes, the

0:18:48.280 --> 0:18:51.120
<v Speaker 7>justices were all democratic appointed, but it was a four

0:18:51.160 --> 0:18:54.359
<v Speaker 7>to three decision. So three of those justices, including the

0:18:54.480 --> 0:18:59.640
<v Speaker 7>chief Justice of the Colorado Supreme Court, voted against using

0:18:59.680 --> 0:19:00.760
<v Speaker 7>the fourteenth Amendment.

0:19:01.119 --> 0:19:03.960
<v Speaker 2>And jine, we only have about forty seconds here, stakehourts

0:19:03.960 --> 0:19:06.159
<v Speaker 2>correct me if I'm wrong. Minnesota and Michigan ruled against

0:19:06.160 --> 0:19:09.560
<v Speaker 2>similar lawsuits. What could this mean for other lawsuits from

0:19:09.560 --> 0:19:12.520
<v Speaker 2>different states wanting to remove Trump from the ballot?

0:19:13.320 --> 0:19:15.960
<v Speaker 7>So they would each go their own way, but the

0:19:16.000 --> 0:19:19.919
<v Speaker 7>Supreme Court will decide whether the Fourteenth Amendment applies. But

0:19:20.320 --> 0:19:22.600
<v Speaker 7>this is under Colorado law, So that's sort of a

0:19:22.680 --> 0:19:25.160
<v Speaker 7>question of law that I cannot answer in forty seconds.

0:19:25.320 --> 0:19:28.480
<v Speaker 3>All right, Well, we appreciate you trying. Thank you so much.

0:19:28.480 --> 0:19:31.360
<v Speaker 3>A big thank you to June Grasso. She is Bloomberg

0:19:31.400 --> 0:19:33.800
<v Speaker 3>News Legal analyst and host of Bloomberg Law weeknights at

0:19:33.880 --> 0:19:36.400
<v Speaker 3>ten pm Wall Street Time on Bloomberg Radio. And also

0:19:36.480 --> 0:19:38.919
<v Speaker 3>huge thank you to Jody Schneider, Political News director at

0:19:38.920 --> 0:19:41.920
<v Speaker 3>Bloomberg Television and Radio. She's now based in our Washington,

0:19:42.000 --> 0:19:45.320
<v Speaker 3>DC bureau, where she joined us. From this afternoon.

0:19:45.480 --> 0:19:49.040
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:19:49.080 --> 0:19:53.080
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:19:53.280 --> 0:19:56.560
<v Speaker 1>the Bloomberg Business App, and YouTube. You can also listen

0:19:56.680 --> 0:19:59.760
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

0:20:00.119 --> 0:20:04.840
<v Speaker 1>Jo Say Alexa, play Bloomberg eleven thirty and tim.

0:20:04.880 --> 0:20:08.080
<v Speaker 2>As worries around the pandemic faded, consumers took to the skies,

0:20:08.119 --> 0:20:11.320
<v Speaker 2>with airline traffic more than doubling its COVID era bottom

0:20:11.480 --> 0:20:15.240
<v Speaker 2>as the travel industry for business storms back while the

0:20:15.280 --> 0:20:18.479
<v Speaker 2>Jump and travel to see Taylor Swift or Beyonce dominated headlines.

0:20:18.480 --> 0:20:19.960
<v Speaker 2>I don't know if you made a trip out we

0:20:20.080 --> 0:20:22.520
<v Speaker 2>see some of those cities, but those cities benefited vastly

0:20:22.800 --> 0:20:26.239
<v Speaker 2>from those concerts. Calendar for conferences, though, and conventions are

0:20:26.280 --> 0:20:28.920
<v Speaker 2>now packed. Next month we have cees in Las Vegas,

0:20:29.080 --> 0:20:32.480
<v Speaker 2>JP Morgan Healthcare Conference at San Francisco. Flick ahead to March,

0:20:32.520 --> 0:20:36.080
<v Speaker 2>you have south By Southwest taking over Austin. As meetings

0:20:36.080 --> 0:20:38.960
<v Speaker 2>and exhibitions bring in millions for host cities, better diversity

0:20:39.000 --> 0:20:42.000
<v Speaker 2>and equality at these events is something that's critical for them.

0:20:42.320 --> 0:20:44.959
<v Speaker 2>That's why we're talking with Jason Dunn. He's the CEO

0:20:45.320 --> 0:20:48.639
<v Speaker 2>at the AT National Coalition for Black National Coalition of

0:20:48.680 --> 0:20:53.119
<v Speaker 2>Black Meeting Professionals. Joining us now on zoom from Cincinnati. Jason,

0:20:53.119 --> 0:20:55.840
<v Speaker 2>your organization is an advocacy group that promotes the positive

0:20:55.880 --> 0:20:59.440
<v Speaker 2>financial impact of travelers of color. How does your organization

0:20:59.520 --> 0:21:02.159
<v Speaker 2>work to prove the diversity of these meetings and what

0:21:02.200 --> 0:21:03.760
<v Speaker 2>can that do for the events as well as the

0:21:03.760 --> 0:21:04.640
<v Speaker 2>cities hosting them.

0:21:05.400 --> 0:21:07.199
<v Speaker 9>Well, I appreciate that and thanks for having me. What

0:21:07.240 --> 0:21:09.960
<v Speaker 9>two days one is? Our organization was created forty years

0:21:09.960 --> 0:21:14.479
<v Speaker 9>ago this year, and the focus was always to empower, educate,

0:21:15.080 --> 0:21:20.760
<v Speaker 9>and influence policy of black professionals over hospitality and black travelers.

0:21:20.800 --> 0:21:23.399
<v Speaker 9>And what that means is that we have gave the

0:21:23.520 --> 0:21:27.439
<v Speaker 9>value of what conventions and black leisure travelers give internationally

0:21:27.520 --> 0:21:29.440
<v Speaker 9>and domestic and that number is one hundred and twenty

0:21:29.520 --> 0:21:34.040
<v Speaker 9>nine billion dollars. And so our founders were frankly around

0:21:34.119 --> 0:21:36.600
<v Speaker 9>the table and said, how do we benefit this and

0:21:36.640 --> 0:21:39.680
<v Speaker 9>how what we do to make sure that cities who

0:21:39.880 --> 0:21:42.920
<v Speaker 9>are the very cities who are progressive cities, who are

0:21:42.960 --> 0:21:46.720
<v Speaker 9>in tune with the changes of the demographics, gain or

0:21:46.760 --> 0:21:49.800
<v Speaker 9>earn these dollars. And we understand that the one hundred

0:21:49.800 --> 0:21:51.879
<v Speaker 9>and twenty nine billion dollars that we bring to to

0:21:51.960 --> 0:21:57.240
<v Speaker 9>destinations also are recycled and also influence jobs and influenced

0:21:57.240 --> 0:22:01.080
<v Speaker 9>policy in addition to the quality of life and retaining

0:22:01.160 --> 0:22:05.120
<v Speaker 9>talent and bringing corporations to destinations who believe in diversity.

0:22:05.240 --> 0:22:07.120
<v Speaker 9>And that's what we've been talking about. That's what we've

0:22:07.119 --> 0:22:09.080
<v Speaker 9>been doing for forty years and we've been successful this far.

0:22:09.480 --> 0:22:11.919
<v Speaker 3>Jason, where are some of the target cities that your

0:22:12.000 --> 0:22:14.560
<v Speaker 3>organization has its eyes on? I mean, where are the

0:22:14.560 --> 0:22:16.280
<v Speaker 3>cities that are doing a good job of this, and

0:22:16.560 --> 0:22:18.760
<v Speaker 3>maybe the targets aren't necessarily cities that are doing a

0:22:18.800 --> 0:22:20.800
<v Speaker 3>good job, but they could be doing a better job.

0:22:21.800 --> 0:22:21.919
<v Speaker 1>Well.

0:22:21.960 --> 0:22:23.199
<v Speaker 9>I think it's a couple of things. One is, there

0:22:23.240 --> 0:22:25.960
<v Speaker 9>are cities who have done a great great over the

0:22:25.960 --> 0:22:31.040
<v Speaker 9>past years, as your irregular metropolitan cities like New Orleans, Detroit, Washington,

0:22:31.119 --> 0:22:35.639
<v Speaker 9>d C, Atlanta, Cincinnati to some extent, and Cleveland and

0:22:35.680 --> 0:22:38.199
<v Speaker 9>places like that. But also there are there are are

0:22:38.240 --> 0:22:40.960
<v Speaker 9>cities who are evolving who understand that in order to

0:22:41.000 --> 0:22:45.400
<v Speaker 9>retain diverse talent, in order to retain or gain corporations,

0:22:45.440 --> 0:22:49.119
<v Speaker 9>and in order to help with the commerce of a destination,

0:22:49.560 --> 0:22:51.760
<v Speaker 9>that they have to be more reverse. And we're seeing

0:22:51.760 --> 0:22:54.880
<v Speaker 9>people up cities like Austin, Texas who are or who

0:22:54.920 --> 0:22:58.520
<v Speaker 9>is welcome Black Tech Week and black organizations who are

0:22:58.560 --> 0:23:01.439
<v Speaker 9>in technology have went there as well in cities like

0:23:01.560 --> 0:23:05.320
<v Speaker 9>Orlando and or Miami who are recognizing the international flair

0:23:05.920 --> 0:23:09.080
<v Speaker 9>that our organizations bring in our leisure travels bring as well.

0:23:09.440 --> 0:23:13.160
<v Speaker 2>And Jason, you joined ncb MP in November last year

0:23:13.160 --> 0:23:15.680
<v Speaker 2>from visit Cincinnati. What changes have you been able to

0:23:15.720 --> 0:23:18.280
<v Speaker 2>implement in that thirteen month stretch and what does twenty

0:23:18.320 --> 0:23:19.240
<v Speaker 2>twenty four, look.

0:23:19.080 --> 0:23:21.560
<v Speaker 9>Like, yeah, I appreciate that. So I think for us,

0:23:21.600 --> 0:23:24.480
<v Speaker 9>we have been more excited about wide in our base.

0:23:24.560 --> 0:23:27.560
<v Speaker 9>So it's not just conventions and meetings, but also sports.

0:23:28.119 --> 0:23:31.760
<v Speaker 9>Many of our members are in sports and have in fact,

0:23:31.760 --> 0:23:34.800
<v Speaker 9>when our members are have the largest kickball tournament in

0:23:35.000 --> 0:23:38.040
<v Speaker 9>the country. And yeah, I laughed too when I really

0:23:38.080 --> 0:23:40.520
<v Speaker 9>got the data about that too. So wow, really, I

0:23:40.600 --> 0:23:41.360
<v Speaker 9>know you've been doing.

0:23:41.680 --> 0:23:43.840
<v Speaker 4>Now I want to be part of that.

0:23:43.920 --> 0:23:45.520
<v Speaker 3>I thought you were going to find Jason. I thought

0:23:45.520 --> 0:23:48.640
<v Speaker 3>you were going to talk about Cincinnati FC. I mean, no,

0:23:48.720 --> 0:23:52.280
<v Speaker 3>I what a season, What a season you guys had.

0:23:53.040 --> 0:23:55.520
<v Speaker 9>Hey listen, go hey, I'm with them as well. But

0:23:55.640 --> 0:23:59.679
<v Speaker 9>we're talking about the members. The members are vast and wide,

0:23:59.680 --> 0:24:03.680
<v Speaker 9>and many of our associations and organizations are in every

0:24:03.760 --> 0:24:06.440
<v Speaker 9>single market. Again not just suck convictions, but also the

0:24:06.480 --> 0:24:10.040
<v Speaker 9>sports and entertainment. And you reference Beyonce, So Beyonce would

0:24:10.080 --> 0:24:13.600
<v Speaker 9>not go to destinations whom are not welcoming. And so

0:24:13.760 --> 0:24:15.840
<v Speaker 9>those are the things that we kind of in the

0:24:15.840 --> 0:24:19.080
<v Speaker 9>background have advocated for and saying that if you want

0:24:19.080 --> 0:24:21.680
<v Speaker 9>these dollars, you have to show diversity one and two, Yeah,

0:24:21.680 --> 0:24:23.960
<v Speaker 9>who you welcome and being a progressive site, and so

0:24:24.160 --> 0:24:27.400
<v Speaker 9>we've done that and doing that consistently. In twenty twenty four,

0:24:27.880 --> 0:24:30.879
<v Speaker 9>we're focused on building that bridge internationally. We know that

0:24:30.880 --> 0:24:36.000
<v Speaker 9>that Asia and Africa specifically our destinations for our members

0:24:36.040 --> 0:24:39.159
<v Speaker 9>who want to create that international flair. And we know

0:24:39.240 --> 0:24:42.160
<v Speaker 9>that as the country in the world is more global,

0:24:42.440 --> 0:24:45.119
<v Speaker 9>we have to be in those discussions and meeting and

0:24:45.200 --> 0:24:47.400
<v Speaker 9>understanding what's around the world. And that's what we're doing now.

0:24:47.400 --> 0:24:48.440
<v Speaker 9>On twenty twenty four.

0:24:48.400 --> 0:24:51.040
<v Speaker 2>And Jason, you mentioned black US leisure travelers spent nearly

0:24:51.080 --> 0:24:54.040
<v Speaker 2>one hundred and thirty billion dollars on domestic and international travel.

0:24:54.200 --> 0:24:56.879
<v Speaker 2>That was back in twenty nineteen. How is that evolving

0:24:57.160 --> 0:24:59.800
<v Speaker 2>since the pandemic and what factors are playing into how

0:25:00.000 --> 0:25:01.640
<v Speaker 2>travelers are selecting their destinations.

0:25:02.440 --> 0:25:05.840
<v Speaker 9>Yeah, so I thank for that. So again welcoming policies

0:25:05.880 --> 0:25:11.120
<v Speaker 9>one two. People are frankly being more stingy with their

0:25:11.160 --> 0:25:13.960
<v Speaker 9>time and more strategic in where they're going, and so

0:25:14.240 --> 0:25:16.880
<v Speaker 9>I believe that. And also travel has eased up as

0:25:16.920 --> 0:25:19.400
<v Speaker 9>relates to to prices, so it's more it's not as

0:25:19.400 --> 0:25:22.440
<v Speaker 9>expensive to travel as it was before. So people are

0:25:22.480 --> 0:25:26.240
<v Speaker 9>taking purposeful destination trips and conventions are going to places

0:25:26.520 --> 0:25:29.159
<v Speaker 9>where they want to grow. And so as again to

0:25:29.160 --> 0:25:32.040
<v Speaker 9>be relevant, you have to have a global kind of conversation,

0:25:32.400 --> 0:25:35.120
<v Speaker 9>a global interest and then many of our associations are

0:25:35.119 --> 0:25:37.639
<v Speaker 9>looking at the world, not just the nation. And so

0:25:37.720 --> 0:25:40.679
<v Speaker 9>I think as we begin to broaden our scope, we

0:25:40.720 --> 0:25:43.560
<v Speaker 9>talk about what those interests are. We talk about how

0:25:43.680 --> 0:25:47.240
<v Speaker 9>tourism it ties to development, how tourism ties to jobs,

0:25:47.440 --> 0:25:52.440
<v Speaker 9>and how tourism ties to economic sustainability for destinations. Everybody's

0:25:52.480 --> 0:25:54.439
<v Speaker 9>aligned with that, and so people are being stingy with

0:25:54.440 --> 0:25:56.720
<v Speaker 9>what they're talking about. They're being stingy with where they're

0:25:56.720 --> 0:25:59.160
<v Speaker 9>spending their money, and they're purposeful on where they're going

0:25:59.160 --> 0:26:01.280
<v Speaker 9>and how to aligns for their personal values. And so

0:26:01.320 --> 0:26:03.440
<v Speaker 9>that that's what we've seen in the past couple of years,

0:26:03.440 --> 0:26:05.040
<v Speaker 9>since twenty nineteen, since the study was dead.

0:26:05.160 --> 0:26:08.240
<v Speaker 3>We'll have to have conferences completely recovered since the pandemic,

0:26:08.320 --> 0:26:11.520
<v Speaker 3>because there was this big concern for airlines that you know,

0:26:12.280 --> 0:26:15.479
<v Speaker 3>business travelers who pay more because they buy tickets at

0:26:15.480 --> 0:26:17.520
<v Speaker 3>the front of the plane, and they buy tickets during

0:26:17.520 --> 0:26:19.760
<v Speaker 3>the week, and they buy tickets, you know, only only

0:26:19.760 --> 0:26:21.280
<v Speaker 3>a few days ahead of time. So they spend more

0:26:21.320 --> 0:26:23.679
<v Speaker 3>money with airlines there was a concern that people are

0:26:23.680 --> 0:26:27.520
<v Speaker 3>going to be using zoom and Google meet and teams

0:26:27.600 --> 0:26:30.240
<v Speaker 3>or whatever for meetings instead of going to these conferences.

0:26:31.040 --> 0:26:34.400
<v Speaker 3>Are you seeing that or has have conferences overall completely

0:26:34.400 --> 0:26:36.160
<v Speaker 3>recovered and then some since the pandemic.

0:26:36.920 --> 0:26:40.040
<v Speaker 9>Yeah, So I would say different different segments we see recovery.

0:26:40.119 --> 0:26:43.040
<v Speaker 9>Our particular markets are recession proof, and so what that

0:26:43.119 --> 0:26:46.360
<v Speaker 9>means is that we're going to meet because our organizations

0:26:46.400 --> 0:26:51.159
<v Speaker 9>are steeped in in tie to social justice, tie to economic.

0:26:50.960 --> 0:26:53.840
<v Speaker 3>Recession proof, but not necessarily pandemic proof.

0:26:54.280 --> 0:26:56.480
<v Speaker 4>You're correct, because I'm not talking about recession.

0:26:56.480 --> 0:26:58.280
<v Speaker 3>I'm talking about, you know, just a change in habits

0:26:58.280 --> 0:27:00.440
<v Speaker 3>post pandemic with people not traveling much.

0:27:01.240 --> 0:27:01.440
<v Speaker 4>Yeah.

0:27:01.440 --> 0:27:03.000
<v Speaker 9>No, you're correct. So what I was getting to is

0:27:03.040 --> 0:27:06.160
<v Speaker 9>that there's a balance. So each organization had to shift

0:27:06.320 --> 0:27:08.280
<v Speaker 9>and so yes, there is the virtual peace for this

0:27:08.400 --> 0:27:10.480
<v Speaker 9>more more convenient for people to move back and forth.

0:27:10.600 --> 0:27:13.720
<v Speaker 9>But also it forces conventions to be more purposeful on

0:27:13.760 --> 0:27:15.960
<v Speaker 9>why they meet and what they're offering people when they come.

0:27:16.200 --> 0:27:19.920
<v Speaker 9>And so the numbers, yes, have come back, but we've

0:27:19.920 --> 0:27:23.520
<v Speaker 9>seen growth in several categories as relates to larger conventions

0:27:23.560 --> 0:27:27.760
<v Speaker 9>versus international nationals versus domestic and so those things have

0:27:27.880 --> 0:27:31.000
<v Speaker 9>balanced out over over time. But yes, we see a

0:27:31.040 --> 0:27:34.879
<v Speaker 9>positive trend that conventions are coming back. Yes, the people

0:27:35.000 --> 0:27:38.960
<v Speaker 9>are the hybrid meetings have been more welcome, meaning than

0:27:39.000 --> 0:27:41.720
<v Speaker 9>they were before. And then there's a balance on content

0:27:42.040 --> 0:27:45.399
<v Speaker 9>that brings people to conventions versus why they've been in

0:27:45.440 --> 0:27:47.720
<v Speaker 9>the past. So I think it's very purposeful and that

0:27:47.800 --> 0:27:49.960
<v Speaker 9>people are intentional about why they travel, where they're going

0:27:50.080 --> 0:27:51.160
<v Speaker 9>and who they're going to meet.

0:27:51.359 --> 0:27:52.560
<v Speaker 4>Jason, we got to leave it there.

0:27:52.640 --> 0:27:55.760
<v Speaker 3>Jason Dunn is executive chief executive Officer at the National

0:27:55.760 --> 0:28:00.920
<v Speaker 3>Coalition of Black Meeting Professionals. Joining us on zoom from Cincinnati, Ohio.

0:28:00.960 --> 0:28:04.560
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:28:04.560 --> 0:28:07.919
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

0:28:08.000 --> 0:28:12.040
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the Bloomberg Business App,

0:28:12.320 --> 0:28:23.639
<v Speaker 1>or watch us live on YouTube.

0:28:24.880 --> 0:28:26.960
<v Speaker 4>Nice music choice. Paul Brennan.

0:28:27.480 --> 0:28:30.400
<v Speaker 3>Well, as we mentioned the forthcoming issue of Bloomberg Business Week,

0:28:30.440 --> 0:28:33.800
<v Speaker 3>it's on news stands tomorrow. It's the Longevity Issue. It

0:28:33.840 --> 0:28:36.080
<v Speaker 3>tells some of the stories of the billions of dollars

0:28:36.160 --> 0:28:38.800
<v Speaker 3>that are being spent to live longer or age slower

0:28:39.280 --> 0:28:42.160
<v Speaker 3>in the never ending Quest for the Fountain of Youth

0:28:42.320 --> 0:28:45.200
<v Speaker 3>or to be Forever Young. Stories in there also delve

0:28:45.200 --> 0:28:47.880
<v Speaker 3>into the science behind the concept and how researchers are

0:28:47.880 --> 0:28:51.160
<v Speaker 3>making headway when it comes to longevity. And that's where

0:28:51.160 --> 0:28:53.120
<v Speaker 3>the cover story comes in. It's by Kristin V. Brown,

0:28:53.240 --> 0:28:55.920
<v Speaker 3>healthcare reporter for Bloomberg News. She writes about how the

0:28:55.960 --> 0:29:00.800
<v Speaker 3>biggest breakthrough in longevity may start with metapo. As I mentioned,

0:29:01.400 --> 0:29:03.280
<v Speaker 3>this story is in the upcoming new issue of Bloomberg

0:29:03.280 --> 0:29:05.520
<v Speaker 3>Business Week. You can pick it up on news stands tomorrow.

0:29:05.560 --> 0:29:08.680
<v Speaker 3>It's already online at Bloomberg dot com, Slash business Week

0:29:08.720 --> 0:29:10.640
<v Speaker 3>and on the Bloomberg terminal. With more, we are joined

0:29:10.640 --> 0:29:13.520
<v Speaker 3>by Kristin B. Brown, healthcare reporter for Bloomberg News here

0:29:13.520 --> 0:29:19.080
<v Speaker 3>in our Bloomberg Interactive Broker's Studio. The story starts with mice.

0:29:19.800 --> 0:29:21.680
<v Speaker 3>With mice, yes, how do they play into this?

0:29:22.280 --> 0:29:25.040
<v Speaker 10>Well, So, mice, as many people may know, are a

0:29:25.160 --> 0:29:30.160
<v Speaker 10>very common model animal in scientific research, and this scientist

0:29:30.200 --> 0:29:35.160
<v Speaker 10>in particular was giving mice ovarian tumors to try and

0:29:35.240 --> 0:29:38.960
<v Speaker 10>figure out whether a hormone called AMH that both men

0:29:39.080 --> 0:29:43.120
<v Speaker 10>and women produce lots of, whether that hormone could treat

0:29:43.160 --> 0:29:45.880
<v Speaker 10>the ovarian tumors, and when he did that, he gave

0:29:45.880 --> 0:29:49.040
<v Speaker 10>them this AMH gene therapy. And when he did that,

0:29:49.960 --> 0:29:55.480
<v Speaker 10>he realized something incredible was happening. Whether they actually treated

0:29:55.480 --> 0:29:57.440
<v Speaker 10>the tumors or not, I don't know, But one thing

0:29:57.480 --> 0:30:01.640
<v Speaker 10>they did do is make the ovaries of the mice shrink.

0:30:01.720 --> 0:30:04.600
<v Speaker 10>He said they looked like the ovaries of newborn mice.

0:30:05.000 --> 0:30:06.960
<v Speaker 10>And what that suggested to him was that it was

0:30:07.000 --> 0:30:11.480
<v Speaker 10>almost like a reverse aging process, that this hormone reversed

0:30:11.520 --> 0:30:16.560
<v Speaker 10>the aging of the mice's ovaries. And as any one

0:30:16.640 --> 0:30:21.160
<v Speaker 10>with ovaries, nos, as your ovaries age, they age much

0:30:21.200 --> 0:30:23.360
<v Speaker 10>faster than the rest of your body, and eventually that

0:30:23.400 --> 0:30:26.000
<v Speaker 10>means you can't have a baby, eventually go through menopause,

0:30:26.440 --> 0:30:30.120
<v Speaker 10>which is horrible for many women. So this indicated that

0:30:30.200 --> 0:30:32.640
<v Speaker 10>he might be onto something huge, something that could really

0:30:32.720 --> 0:30:35.440
<v Speaker 10>solve a lot of problems that women face as the

0:30:35.480 --> 0:30:36.760
<v Speaker 10>reproductive system ages.

0:30:37.120 --> 0:30:40.120
<v Speaker 2>And are we seeing this AMH or other types of

0:30:40.160 --> 0:30:43.480
<v Speaker 2>science being used in more advanced animals, like more similar

0:30:43.480 --> 0:30:44.920
<v Speaker 2>animals cats, dogs.

0:30:44.720 --> 0:30:47.760
<v Speaker 10>Cats, Yeah, you must have read the story. I was

0:30:47.920 --> 0:30:52.400
<v Speaker 10>very excited to get a cat reference into the story.

0:30:52.440 --> 0:30:56.280
<v Speaker 10>As a crazy cat lady. Yeah, so AMAH could have

0:30:56.320 --> 0:30:58.160
<v Speaker 10>a lot of potential uses because it does have this

0:30:58.280 --> 0:31:02.640
<v Speaker 10>really powerful sway over the whole reproductive system. And so

0:31:02.920 --> 0:31:05.640
<v Speaker 10>his first thought was, actually, well, maybe I could make

0:31:05.680 --> 0:31:08.640
<v Speaker 10>a better birth control with less side effects, and so

0:31:08.880 --> 0:31:11.320
<v Speaker 10>he decided to test that in cats and cats it's

0:31:11.320 --> 0:31:16.040
<v Speaker 10>a permanent birth control instead of removing their reproductive organs.

0:31:16.280 --> 0:31:19.360
<v Speaker 10>They worked with the Cincinnati Zoo and they gave cats

0:31:19.400 --> 0:31:22.480
<v Speaker 10>this AIMH gene therapies similar to what he gave the mice,

0:31:22.600 --> 0:31:25.400
<v Speaker 10>and the cats were no longer able to get pregnant

0:31:25.400 --> 0:31:28.440
<v Speaker 10>without having to lose their reproductive organs, which is not

0:31:28.480 --> 0:31:29.520
<v Speaker 10>a pleasant experience.

0:31:29.960 --> 0:31:34.680
<v Speaker 3>So how can scientists and researchers extrapolate what's happening in

0:31:34.720 --> 0:31:38.800
<v Speaker 3>the ovaries and apply that across a broad spectrum for longevity?

0:31:39.280 --> 0:31:42.640
<v Speaker 10>Right, So what's really interesting about the ovaries beyond just

0:31:42.720 --> 0:31:45.040
<v Speaker 10>the idea that you might be able to slow menopause

0:31:45.120 --> 0:31:49.640
<v Speaker 10>or extend a woman's number of fertile years. Incredible on

0:31:49.680 --> 0:31:52.520
<v Speaker 10>their own, Incredible on their own. Yeah, But so it's

0:31:52.560 --> 0:31:56.640
<v Speaker 10>really hard to study aging in general because there's not

0:31:56.880 --> 0:31:59.280
<v Speaker 10>a great you know, we can study it in mice,

0:31:59.360 --> 0:32:02.560
<v Speaker 10>but how similar ourvice really to humans. Right, we can

0:32:02.560 --> 0:32:05.800
<v Speaker 10>only learn so much about aging in humans by studying

0:32:06.240 --> 0:32:09.760
<v Speaker 10>animals that age much faster. Right, A mouse has a

0:32:09.840 --> 0:32:13.720
<v Speaker 10>much faster life cycle. So it's better to study these things.

0:32:14.200 --> 0:32:18.040
<v Speaker 10>But it's not similar enough to humans to really know

0:32:18.160 --> 0:32:20.640
<v Speaker 10>how it would do in humans, how these therapies would

0:32:20.640 --> 0:32:24.000
<v Speaker 10>do in humans. But the ovaries, they are a human

0:32:24.200 --> 0:32:26.959
<v Speaker 10>organ and they happen to be a human organ that

0:32:27.080 --> 0:32:31.240
<v Speaker 10>ages at twice the rate of the rest of the body.

0:32:31.280 --> 0:32:33.960
<v Speaker 10>But it also ages in a very short period of time.

0:32:34.440 --> 0:32:37.600
<v Speaker 10>When women hits her thirties, her reproductive system starts all

0:32:37.640 --> 0:32:40.480
<v Speaker 10>of a sudden. Her ovaries in particular, start aging very quickly.

0:32:40.880 --> 0:32:44.000
<v Speaker 10>So you could test these therapies, these longevity therapies that

0:32:44.080 --> 0:32:48.800
<v Speaker 10>people think might intervene in aging broadly, more broadly, right,

0:32:48.880 --> 0:32:51.680
<v Speaker 10>not just in one organ system. Like wrapamycin. You could

0:32:51.680 --> 0:32:54.040
<v Speaker 10>see if it has an impact on the ovaries, and

0:32:54.040 --> 0:32:56.640
<v Speaker 10>that's a much better indication in some ways of whether

0:32:56.680 --> 0:33:00.360
<v Speaker 10>it might have an indication in humans for longevity than

0:33:00.520 --> 0:33:02.640
<v Speaker 10>by studying my So it could be a really great

0:33:03.000 --> 0:33:06.959
<v Speaker 10>sort of testing proving ground for other therapies.

0:33:07.280 --> 0:33:10.120
<v Speaker 2>What's the funding dynamic right now? I know it's been

0:33:10.160 --> 0:33:13.280
<v Speaker 2>a long story about women's health not receiving the funding

0:33:13.320 --> 0:33:14.800
<v Speaker 2>or their share of the share of funding that you

0:33:14.800 --> 0:33:18.240
<v Speaker 2>would expect. How does longevity and the potential for longevity

0:33:18.280 --> 0:33:18.760
<v Speaker 2>play into that?

0:33:18.960 --> 0:33:20.680
<v Speaker 10>Oh my gosh, this is one of those things that

0:33:20.760 --> 0:33:25.440
<v Speaker 10>any woman who reads this figure are like, what that

0:33:25.560 --> 0:33:28.320
<v Speaker 10>if women were not forced to be included in clinical

0:33:28.360 --> 0:33:32.959
<v Speaker 10>trials in the United States until like, very very recently.

0:33:32.960 --> 0:33:34.000
<v Speaker 4>I think it's so crazy.

0:33:34.080 --> 0:33:38.280
<v Speaker 10>Yeah, I think it was two thousand and nineteen ninety three,

0:33:37.200 --> 0:33:40.040
<v Speaker 10>nineteen ninety three. Thank you, I don't have it in

0:33:40.080 --> 0:33:42.640
<v Speaker 10>front of me. Yeah, that's so recent was I was

0:33:42.640 --> 0:33:46.000
<v Speaker 10>in kindergarten then before they started including women in clinical trials,

0:33:46.160 --> 0:33:49.400
<v Speaker 10>And that's because there hasn't been interest in women's health.

0:33:49.440 --> 0:33:52.959
<v Speaker 10>But there's a lot of interest in longevity, and you know,

0:33:53.120 --> 0:33:55.400
<v Speaker 10>lots of people in Silicon Valley wanting to live forever.

0:33:55.880 --> 0:33:59.760
<v Speaker 10>And so once you cast the problem of the ovaries

0:33:59.800 --> 0:34:02.280
<v Speaker 10>as a problem not just of women's health, but of

0:34:02.880 --> 0:34:06.960
<v Speaker 10>health for everyone, all of the major diseases are diseases

0:34:07.000 --> 0:34:10.680
<v Speaker 10>of aging, right, heart disease, dementia. They're all diseases brought

0:34:10.680 --> 0:34:13.800
<v Speaker 10>on by agents. So once you cast the problem of

0:34:13.840 --> 0:34:16.040
<v Speaker 10>women's health, it's one that's related to that, there's been

0:34:16.080 --> 0:34:20.320
<v Speaker 10>a lot more interest in funding startups and funding scientists

0:34:20.400 --> 0:34:21.080
<v Speaker 10>who are doing.

0:34:21.000 --> 0:34:23.160
<v Speaker 3>This work based on your reporting and what you saw

0:34:23.239 --> 0:34:26.960
<v Speaker 3>reporting out this piece. Help promising is the research that's

0:34:26.960 --> 0:34:28.080
<v Speaker 3>being done.

0:34:27.840 --> 0:34:30.600
<v Speaker 10>Well, it's promising enough that I have convinced myself will

0:34:30.640 --> 0:34:32.920
<v Speaker 10>never have to go through menopause. I'm thirty seven. I

0:34:32.920 --> 0:34:34.759
<v Speaker 10>don't know how realistic that is. I don't know how

0:34:34.800 --> 0:34:38.000
<v Speaker 10>realistic that is, but I do think that there's really

0:34:38.040 --> 0:34:41.960
<v Speaker 10>really promising work that is starting to enter human clinical trials.

0:34:42.440 --> 0:34:44.400
<v Speaker 10>Not the mouth stuff that's not quite there yet, that's

0:34:44.400 --> 0:34:46.200
<v Speaker 10>a couple of years away. But there's some researchers at

0:34:46.200 --> 0:34:50.280
<v Speaker 10>Columbia who are doing something with a popular anti aging

0:34:50.320 --> 0:34:54.000
<v Speaker 10>drug called rapamycin that is entering trials now. They're unrolling people.

0:34:54.440 --> 0:34:56.600
<v Speaker 10>And so I think that while we may not have

0:34:57.280 --> 0:35:01.120
<v Speaker 10>a way to pause menopause sorry anytime soon, I do

0:35:01.200 --> 0:35:04.560
<v Speaker 10>think that we will very soon out of this research

0:35:05.160 --> 0:35:10.840
<v Speaker 10>have better indications of how to treat infertility, of how

0:35:10.920 --> 0:35:13.839
<v Speaker 10>to treat the symptoms of menopause when people are going

0:35:13.880 --> 0:35:16.480
<v Speaker 10>through it. So I think that this work is very

0:35:16.520 --> 0:35:19.520
<v Speaker 10>promising in that regard, in that for the first time

0:35:20.080 --> 0:35:23.160
<v Speaker 10>in a very long time, we're having interest in just

0:35:23.400 --> 0:35:29.040
<v Speaker 10>looking at the basic biology of female reproduction and understanding

0:35:29.080 --> 0:35:31.319
<v Speaker 10>how it works. And I think that's going to lead

0:35:31.320 --> 0:35:33.239
<v Speaker 10>to many very big breakthroughs and.

0:35:33.200 --> 0:35:35.080
<v Speaker 2>Christ And this may be a dumb question in terms

0:35:35.080 --> 0:35:37.640
<v Speaker 2>of a clinical trial, though, if you're treating cancer, you

0:35:37.640 --> 0:35:40.880
<v Speaker 2>can at least compare a placebo versus someone who's on

0:35:40.880 --> 0:35:42.640
<v Speaker 2>a drug and how much longer they live. How do

0:35:42.680 --> 0:35:47.040
<v Speaker 2>you study the reproduction like that women's reproduction and whether

0:35:47.080 --> 0:35:47.880
<v Speaker 2>these work or not.

0:35:48.440 --> 0:35:51.759
<v Speaker 10>That's a good question. Well, so in previous studies they

0:35:51.760 --> 0:35:56.040
<v Speaker 10>have looked at some of the signaling in the ovaries

0:35:56.040 --> 0:36:00.680
<v Speaker 10>of women who are slightly older, right like forties thirties

0:36:00.840 --> 0:36:04.280
<v Speaker 10>versus younger women, and you can see the rapid decline.

0:36:04.320 --> 0:36:06.360
<v Speaker 10>So if you know what to expect at different ages,

0:36:06.400 --> 0:36:08.000
<v Speaker 10>and you looked at a large group of people that

0:36:08.120 --> 0:36:10.960
<v Speaker 10>I think you could see whether you're obviously there's a

0:36:11.040 --> 0:36:13.319
<v Speaker 10>variation from person to person, but I think that you

0:36:13.360 --> 0:36:16.359
<v Speaker 10>can see whether it's looking more like what you would

0:36:16.400 --> 0:36:19.320
<v Speaker 10>expect of a younger ovary for example.

0:36:19.800 --> 0:36:22.200
<v Speaker 2>And you go ahead, No, I guess coming back to

0:36:22.239 --> 0:36:26.719
<v Speaker 2>the timeline, drug development's risky, it's expensive. Are there companies

0:36:26.719 --> 0:36:29.799
<v Speaker 2>that are funding or a lot of these studies being

0:36:29.800 --> 0:36:30.960
<v Speaker 2>done at universities.

0:36:31.320 --> 0:36:33.800
<v Speaker 10>Yeah, both both. There are some companies in the space.

0:36:33.920 --> 0:36:35.719
<v Speaker 10>One of the big companies that I write about that

0:36:35.880 --> 0:36:40.080
<v Speaker 10>came out of the guy doing the amazing mouse work, Aviva.

0:36:40.640 --> 0:36:44.400
<v Speaker 10>They say that their first therapy, which will be for infertility,

0:36:44.680 --> 0:36:47.840
<v Speaker 10>is a couple of years away from clinical trials, and

0:36:47.880 --> 0:36:52.320
<v Speaker 10>their second therapy is, you know, maybe a couple of

0:36:52.360 --> 0:36:55.200
<v Speaker 10>years behind. Not so, I mean, which which is not

0:36:55.320 --> 0:36:59.400
<v Speaker 10>a long time in the time time scale of clinical trials.

0:36:59.440 --> 0:37:02.600
<v Speaker 10>So our companies that are working on bringing this stuff

0:37:02.640 --> 0:37:03.560
<v Speaker 10>to the clinics soon.

0:37:04.160 --> 0:37:07.120
<v Speaker 3>Christian, you made this comment that stuck with me, which

0:37:07.160 --> 0:37:09.520
<v Speaker 3>is in Silicon Valley, a lot of people are interested

0:37:09.600 --> 0:37:13.200
<v Speaker 3>in longevity, and that's certainly what we see. And we

0:37:13.239 --> 0:37:15.880
<v Speaker 3>talked to Ashley Advance yesterday, who you know, had the

0:37:15.960 --> 0:37:19.960
<v Speaker 3>chance to go and visit this lab that and startup

0:37:20.000 --> 0:37:21.520
<v Speaker 3>that you know has one hundred and eighty million dollars

0:37:21.560 --> 0:37:24.799
<v Speaker 3>in funding from Sam Waltman, a huge figure in Silicon Valley.

0:37:24.880 --> 0:37:27.880
<v Speaker 3>Right now, do you think we're to the point where

0:37:28.520 --> 0:37:31.760
<v Speaker 3>the idea of longevity, the study of longevity, the search

0:37:31.800 --> 0:37:34.960
<v Speaker 3>for the fountain of youth has gone beyond you know,

0:37:35.040 --> 0:37:38.239
<v Speaker 3>these tech billionaires, yes, and is now more widespread.

0:37:38.400 --> 0:37:39.960
<v Speaker 10>Yeah, I definitely do. And I think that you have

0:37:40.040 --> 0:37:44.040
<v Speaker 10>to separate the people who want to, you know, put

0:37:44.040 --> 0:37:47.319
<v Speaker 10>their brain in some kind of freezer box, in a

0:37:47.360 --> 0:37:52.200
<v Speaker 10>computer leader or something. Those guys, the sort of transhumanists,

0:37:52.239 --> 0:37:56.240
<v Speaker 10>from the people who really want to understand the biological

0:37:56.280 --> 0:38:00.279
<v Speaker 10>mechanisms at the root of aging, because you know, we

0:38:00.320 --> 0:38:03.760
<v Speaker 10>really don't understand so much of why aging occurs.

0:38:03.880 --> 0:38:04.120
<v Speaker 2>Right.

0:38:04.360 --> 0:38:08.560
<v Speaker 10>Obviously, time, environment, it wears on the body. But once

0:38:08.600 --> 0:38:12.920
<v Speaker 10>you begin to unpack at a molecular level what's happening,

0:38:13.280 --> 0:38:16.000
<v Speaker 10>then you can certainly intervene in it in some way.

0:38:16.200 --> 0:38:19.359
<v Speaker 10>How much effect we can have, who knows, But I

0:38:19.400 --> 0:38:23.719
<v Speaker 10>think that we're starting to see interest in not just

0:38:23.760 --> 0:38:27.160
<v Speaker 10>the sort of pie and the sky transhumanist Silicon Valley

0:38:27.160 --> 0:38:31.120
<v Speaker 10>billionaire stuff, but the stuff that's doing the basic science

0:38:31.160 --> 0:38:34.239
<v Speaker 10>that will one day lead to better drugs, better therapies.

0:38:34.480 --> 0:38:38.359
<v Speaker 3>Well, it makes me have the question about the way

0:38:38.360 --> 0:38:43.080
<v Speaker 3>that drug companies approach this, which is treating things that

0:38:43.200 --> 0:38:45.960
<v Speaker 3>lead to death, things that you mentioned in your article

0:38:46.360 --> 0:38:50.919
<v Speaker 3>cancer heart disease, trying to solve for those things rather

0:38:50.960 --> 0:38:53.960
<v Speaker 3>than solving for preventing those things. It's like two different

0:38:53.960 --> 0:38:54.719
<v Speaker 3>approaches here.

0:38:55.400 --> 0:38:57.520
<v Speaker 10>Yeah, it's two different approaches, and I think a lot

0:38:57.520 --> 0:39:00.799
<v Speaker 10>of that comes down to it's hard to know. Like

0:39:00.840 --> 0:39:02.560
<v Speaker 10>we talked about why the ovary is such a good

0:39:02.600 --> 0:39:05.319
<v Speaker 10>model for this, right, how do you know if your

0:39:05.360 --> 0:39:08.200
<v Speaker 10>aging therapy is working? You have to follow people for

0:39:08.239 --> 0:39:10.880
<v Speaker 10>a really long time, which doesn't mean they won't happen eventually.

0:39:11.040 --> 0:39:11.320
<v Speaker 5>Right.

0:39:12.480 --> 0:39:15.799
<v Speaker 10>But in drug development, a lot of what happens is

0:39:16.280 --> 0:39:18.399
<v Speaker 10>we figure out something works, but we don't know why

0:39:18.440 --> 0:39:22.160
<v Speaker 10>it works. With aging research, we're trying to figure out

0:39:22.920 --> 0:39:26.239
<v Speaker 10>why do things stop working, and then how do we

0:39:26.280 --> 0:39:29.200
<v Speaker 10>intervene in that? So it is fundamentally two different approaches,

0:39:29.440 --> 0:39:32.400
<v Speaker 10>and I think that they're both valid, right, But to

0:39:32.560 --> 0:39:34.440
<v Speaker 10>intervene in aging, I think we're really going to have

0:39:34.480 --> 0:39:39.560
<v Speaker 10>to understand the fundamental basic biology here, which is stuff

0:39:39.600 --> 0:39:42.160
<v Speaker 10>that takes a lot of time and a lot of money.

0:39:42.880 --> 0:39:44.279
<v Speaker 2>Well, one of the numbers that stood out to me

0:39:44.360 --> 0:39:46.880
<v Speaker 2>was in the story you have, the market for longevity

0:39:46.920 --> 0:39:49.480
<v Speaker 2>drugs could reach more than forty four billion dollars within

0:39:49.520 --> 0:39:50.400
<v Speaker 2>the next decade.

0:39:51.080 --> 0:39:51.600
<v Speaker 11>I look at that.

0:39:51.800 --> 0:39:54.200
<v Speaker 2>Everyone wants to talk about GLP ones and that's one

0:39:54.239 --> 0:39:57.759
<v Speaker 2>hundred billion dollar market value. So I'm surprised that there's

0:39:57.840 --> 0:40:00.800
<v Speaker 2>not more funding and more of an advance miant from

0:40:01.239 --> 0:40:04.319
<v Speaker 2>private equity venture capital. Given that, I mean, it's more

0:40:04.320 --> 0:40:06.880
<v Speaker 2>than double. But that's not a small pool of money, right.

0:40:06.960 --> 0:40:07.440
<v Speaker 5>Yeah, it's not.

0:40:08.440 --> 0:40:10.359
<v Speaker 10>It's not a small pool of money. But I think

0:40:10.360 --> 0:40:12.200
<v Speaker 10>that the time scale and how hard it is to

0:40:12.239 --> 0:40:15.320
<v Speaker 10>know whether it's working does make it a riskier intervention

0:40:15.480 --> 0:40:17.399
<v Speaker 10>versus weight loss. You know, you either lose the weight

0:40:17.640 --> 0:40:20.080
<v Speaker 10>or you don't, so it's easier.

0:40:20.160 --> 0:40:21.040
<v Speaker 2>Everyone's on it.

0:40:21.440 --> 0:40:25.640
<v Speaker 4>Everyone's on it, so we're told, so I hear. Uh, Okay.

0:40:26.120 --> 0:40:27.320
<v Speaker 3>We only have a couple of minutes left, but I

0:40:27.360 --> 0:40:29.040
<v Speaker 3>wanted to make sure to get to other stories that

0:40:29.080 --> 0:40:32.160
<v Speaker 3>you've written recently, because you've been very busy. It's not

0:40:32.200 --> 0:40:34.120
<v Speaker 3>just the cover story of Bloomberg Business. You also have

0:40:34.160 --> 0:40:36.799
<v Speaker 3>a story out about sick shaming, pushing Americans to take

0:40:36.840 --> 0:40:39.760
<v Speaker 3>too much cold medicine. We're talking about this during the break,

0:40:40.040 --> 0:40:43.640
<v Speaker 3>and it's like, what's going on here, Because when we're

0:40:43.680 --> 0:40:45.879
<v Speaker 3>in you know, quote unquote lockdowns, when we're all working

0:40:45.880 --> 0:40:49.160
<v Speaker 3>from home, we were never sick. Now everyone's coming back

0:40:49.160 --> 0:40:52.120
<v Speaker 3>to the office, kids are back in school, in daycare.

0:40:52.680 --> 0:40:57.000
<v Speaker 3>I'm sick all the time. And we're just like mainlining

0:40:57.040 --> 0:40:58.359
<v Speaker 3>suit of then is that what's going on?

0:40:58.440 --> 0:40:58.640
<v Speaker 6>Yeah?

0:40:58.719 --> 0:41:01.080
<v Speaker 10>Okay, so this story actually came out of a personal

0:41:01.080 --> 0:41:04.320
<v Speaker 10>experience of my own. I've started just carrying around cough drops,

0:41:04.600 --> 0:41:06.719
<v Speaker 10>and I take them all the time, even if the

0:41:06.800 --> 0:41:10.320
<v Speaker 10>reason I have a cough is because I swallowed something

0:41:10.320 --> 0:41:12.640
<v Speaker 10>weird or you know, it's wintertime. It's very dry in

0:41:12.680 --> 0:41:15.800
<v Speaker 10>the Bloomberg offices right now, so my makes my throat

0:41:15.840 --> 0:41:19.040
<v Speaker 10>always dry. So I just pop cough drops even when

0:41:19.080 --> 0:41:19.759
<v Speaker 10>I'm not sick.

0:41:19.880 --> 0:41:21.560
<v Speaker 4>You can know that I can to you for coffee.

0:41:21.640 --> 0:41:23.799
<v Speaker 10>Yeah, yeah, I have. I have a huge stash in

0:41:23.840 --> 0:41:26.160
<v Speaker 10>my desk, so come on by. And I started to

0:41:26.160 --> 0:41:28.000
<v Speaker 10>wonder are other people doing this?

0:41:29.040 --> 0:41:30.160
<v Speaker 8>Is it good for you?

0:41:30.239 --> 0:41:31.920
<v Speaker 10>It can't be good for you to take this main

0:41:32.000 --> 0:41:34.320
<v Speaker 10>cough drops. I mean the calories alone, right, got to

0:41:34.360 --> 0:41:39.080
<v Speaker 10>add up. That's why you need the GLP ones. Anyways,

0:41:39.200 --> 0:41:41.960
<v Speaker 10>So so we looked into it. I looked into it

0:41:41.960 --> 0:41:47.239
<v Speaker 10>with a great reporter, Kaye Lapara, and we found that absolutely,

0:41:47.440 --> 0:41:49.560
<v Speaker 10>you can take too much cough and cold medicine. It

0:41:49.640 --> 0:41:51.279
<v Speaker 10>is not a good idea, and that this is a

0:41:51.320 --> 0:41:54.120
<v Speaker 10>thing that is happening. People feel pressure to go to

0:41:54.160 --> 0:41:56.880
<v Speaker 10>work to go to Thanksgiving dinner, to go to happy

0:41:56.920 --> 0:42:01.279
<v Speaker 10>hours even though they're not feeling great, but they don't

0:42:01.320 --> 0:42:03.319
<v Speaker 10>want to have people looking at them giving them that

0:42:03.360 --> 0:42:05.359
<v Speaker 10>look like why are you here even though you're six?

0:42:05.400 --> 0:42:07.880
<v Speaker 10>So people are just doing what I'm doing and taking

0:42:07.960 --> 0:42:10.360
<v Speaker 10>tons of cough medicine.

0:42:10.120 --> 0:42:11.600
<v Speaker 2>And just looking at some of the numbers. I mean,

0:42:11.680 --> 0:42:14.719
<v Speaker 2>US sales of upper respiratory over the counter medications of

0:42:14.800 --> 0:42:17.279
<v Speaker 2>twenty three percent to almost twelve billion dollars in the

0:42:17.280 --> 0:42:18.960
<v Speaker 2>fifty two weeks through early December.

0:42:20.200 --> 0:42:23.160
<v Speaker 10>Great for them, bad for us. It's bad for us.

0:42:23.280 --> 0:42:26.960
<v Speaker 4>Yeah, totally. I mean, I feel like I'm coming down

0:42:27.000 --> 0:42:28.359
<v Speaker 4>to something just talking about this.

0:42:29.080 --> 0:42:31.560
<v Speaker 10>Probably got up from me. Yeah, just kidding.

0:42:31.840 --> 0:42:34.000
<v Speaker 4>Well, I'll get some cough drops from me. Okay. Hey.

0:42:34.040 --> 0:42:36.200
<v Speaker 4>Check out all of Christian's stories, available on the.

0:42:36.200 --> 0:42:38.799
<v Speaker 3>Bloomberg Terminal and at Bloomberg dot com, and pick up

0:42:38.800 --> 0:42:41.600
<v Speaker 3>the new issue of Bloomberg BusinessWeek. It's the Longevity issue,

0:42:41.600 --> 0:42:43.759
<v Speaker 3>on newstands tomorrow. It's already online at Bloomberg dot com,

0:42:43.760 --> 0:42:46.799
<v Speaker 3>slash business Week and on the Bloomberg Terminal. Kristin B.

0:42:46.800 --> 0:42:49.239
<v Speaker 3>Brown is healthcare reporter for Bloomberg News. Joining us this

0:42:49.280 --> 0:42:51.800
<v Speaker 3>afternoon and the Bloomberg Interactive broke your studio.

0:42:52.000 --> 0:42:53.879
<v Speaker 4>This is BusinessWeek.

0:43:02.239 --> 0:43:02.880
<v Speaker 5>A journal.

0:43:03.880 --> 0:43:04.919
<v Speaker 2>Yeah, I bet you let me drive.

0:43:05.200 --> 0:43:10.480
<v Speaker 9>Oh no, no, no, no, holright please, I'll do the gravel.

0:43:10.880 --> 0:43:12.439
<v Speaker 4>Excuse me, I want to drive.

0:43:12.440 --> 0:43:15.560
<v Speaker 11>It's good question.

0:43:15.640 --> 0:43:15.759
<v Speaker 2>Chan.

0:43:19.400 --> 0:43:21.560
<v Speaker 4>This is the Drive to the Clothes.

0:43:22.080 --> 0:43:25.840
<v Speaker 1>Comm thing well by around Hulda Dawn on Bluebird Radio.

0:43:26.600 --> 0:43:28.200
<v Speaker 3>I've seen a little bit of a sell off, as

0:43:28.200 --> 0:43:29.600
<v Speaker 3>you just heard from Charlie Pellett.

0:43:29.640 --> 0:43:31.400
<v Speaker 4>Down one point one percent.

0:43:31.160 --> 0:43:32.719
<v Speaker 3>On the S and P five hundred, the nasdack down

0:43:32.760 --> 0:43:34.880
<v Speaker 3>one point two percent, of doubt down nine tenths of

0:43:35.400 --> 0:43:38.880
<v Speaker 3>one percent late day sell off. Here we are just

0:43:38.960 --> 0:43:41.040
<v Speaker 3>under eighteen minutes from the close of trading on this

0:43:41.200 --> 0:43:43.840
<v Speaker 3>Wednesday afternoon. Let's get to Alan Zaffron. He's the founding

0:43:43.840 --> 0:43:46.480
<v Speaker 3>partner in co CEO at I e Q Capital. He

0:43:46.600 --> 0:43:49.000
<v Speaker 3>joins us on Zoom from Foster City, California for our

0:43:49.040 --> 0:43:50.759
<v Speaker 3>Drive to the Clothes. Alan, it's been a bit of

0:43:50.800 --> 0:43:51.719
<v Speaker 3>time since we spoke to you.

0:43:51.800 --> 0:43:52.200
<v Speaker 4>How are you.

0:43:53.080 --> 0:43:55.480
<v Speaker 11>I'm doing just great And Bailey, thanks for having me

0:43:55.480 --> 0:43:56.200
<v Speaker 11>on your show today.

0:43:56.200 --> 0:43:57.279
<v Speaker 4>Well, thanks so much for joining us.

0:43:57.320 --> 0:43:59.759
<v Speaker 3>Hey, I know a lot of your focus is I'll

0:43:59.800 --> 0:44:03.719
<v Speaker 3>turn Native's privates real estate, but I do want to

0:44:03.719 --> 0:44:06.400
<v Speaker 3>get your thoughts on the equity rally that we've seen

0:44:06.600 --> 0:44:11.000
<v Speaker 3>since October twenty seven. Look today, notwithstanding we're still up

0:44:11.080 --> 0:44:13.279
<v Speaker 3>about fifteen percent since then.

0:44:14.760 --> 0:44:17.440
<v Speaker 4>Is this warranted, Well.

0:44:17.320 --> 0:44:18.960
<v Speaker 11>It's warranted if you think we're going to get this

0:44:19.000 --> 0:44:22.080
<v Speaker 11>proverbial soft landing, I would tell you we remain a

0:44:22.239 --> 0:44:25.840
<v Speaker 11>bit guarded or cautious if you look. The entirety of

0:44:25.880 --> 0:44:27.919
<v Speaker 11>the move is based on the fact that the FED

0:44:28.000 --> 0:44:29.480
<v Speaker 11>is going to be cutting rates next year.

0:44:29.520 --> 0:44:30.800
<v Speaker 9>And what's difference.

0:44:30.800 --> 0:44:33.000
<v Speaker 11>The FED is totally going to cut rates three times

0:44:33.040 --> 0:44:35.879
<v Speaker 11>twenty five basis points each. The market's built in an

0:44:35.880 --> 0:44:38.839
<v Speaker 11>expectation they're going to cut rates six times by one

0:44:38.840 --> 0:44:40.879
<v Speaker 11>and a half percent. That might be a little bit

0:44:41.000 --> 0:44:44.719
<v Speaker 11>too ahead of itself. So our view is it's difficult

0:44:44.760 --> 0:44:47.920
<v Speaker 11>to grow profits at twelve percent for two consecutive years

0:44:47.920 --> 0:44:51.280
<v Speaker 11>in an environment where there's still a lot of challenges

0:44:51.320 --> 0:44:53.840
<v Speaker 11>in the economy. We are a bit skeptical that earnings

0:44:53.840 --> 0:44:56.719
<v Speaker 11>will go quite as much as the markets have forecasts.

0:44:57.160 --> 0:45:00.960
<v Speaker 11>So I think this overbought roty is a bit ahead

0:45:01.000 --> 0:45:01.520
<v Speaker 11>of itself.

0:45:01.600 --> 0:45:04.759
<v Speaker 4>How much ahead of itself, you know, from a.

0:45:04.880 --> 0:45:07.480
<v Speaker 11>Let's talk about valuations, you get to somewhere around maybe

0:45:07.480 --> 0:45:10.160
<v Speaker 11>five to ten percent ahead of itself, not twenty or thirty.

0:45:10.480 --> 0:45:13.040
<v Speaker 11>The market's trading right now just under nineteen and a

0:45:13.080 --> 0:45:16.560
<v Speaker 11>half times forecasted earnings. If you look in the last

0:45:16.560 --> 0:45:18.560
<v Speaker 11>twenty years, the market is traded a little less than

0:45:18.640 --> 0:45:22.200
<v Speaker 11>nineteen times forward earnings. If you look over twenty five years,

0:45:22.200 --> 0:45:25.239
<v Speaker 11>the market's traded about seventeen times forward earnings. So the

0:45:25.320 --> 0:45:27.719
<v Speaker 11>market's probably a little bit ahead of itself with full

0:45:27.760 --> 0:45:31.120
<v Speaker 11>anticipation if rate hikes are over, cuts are coming, but

0:45:31.160 --> 0:45:35.040
<v Speaker 11>there's probably a bit too much near term enthusiasm. Albeit

0:45:35.160 --> 0:45:37.959
<v Speaker 11>the long term constructive view on the American economy means

0:45:37.960 --> 0:45:40.680
<v Speaker 11>the same equities are part of a well diversified portfolio,

0:45:40.800 --> 0:45:42.560
<v Speaker 11>and you can't deny that you still need to have

0:45:42.600 --> 0:45:44.080
<v Speaker 11>some equity exposure.

0:45:43.880 --> 0:45:47.000
<v Speaker 2>And alan with that in mind, how what derails this?

0:45:47.120 --> 0:45:49.360
<v Speaker 2>Is it the fact that the Fed may not provide

0:45:49.360 --> 0:45:52.200
<v Speaker 2>double the cuts? Is it a recession? Is it inflation

0:45:52.320 --> 0:45:54.440
<v Speaker 2>being more stubborn than people were expecting? What drives that.

0:45:57.640 --> 0:45:59.520
<v Speaker 11>Drives it? Is both directions if the Fed is trying

0:45:59.520 --> 0:46:02.600
<v Speaker 11>to needle, so on the one hand, you want inflation

0:46:02.680 --> 0:46:06.360
<v Speaker 11>a work its way softly down without mitigating complete denial

0:46:06.400 --> 0:46:08.359
<v Speaker 11>of economic growth. On the other hand, you just don't

0:46:08.400 --> 0:46:10.880
<v Speaker 11>want a recession. So what we need to see in

0:46:10.920 --> 0:46:15.160
<v Speaker 11>particular is that wage costs as well as input costs

0:46:15.160 --> 0:46:17.800
<v Speaker 11>come down enough that companies can actually generate profit margins.

0:46:18.120 --> 0:46:21.120
<v Speaker 11>And yet the same token, the speed of wets consumer

0:46:21.520 --> 0:46:24.839
<v Speaker 11>consumers spend needs to still maintain some constancy. What we're

0:46:24.840 --> 0:46:27.719
<v Speaker 11>seeing is credit card defaults are starting to creep up

0:46:27.760 --> 0:46:31.040
<v Speaker 11>a bit. There's a concern that of unemployment rates begin

0:46:31.120 --> 0:46:33.840
<v Speaker 11>to move up, that will in fact takeaway from consumer spending,

0:46:33.880 --> 0:46:36.720
<v Speaker 11>which is seventy percent of the economy, and therefore earnings

0:46:36.719 --> 0:46:40.319
<v Speaker 11>won't be quite as robust as one might imagine. The

0:46:40.440 --> 0:46:43.120
<v Speaker 11>art of threading the needle is can companies still grow

0:46:43.160 --> 0:46:45.960
<v Speaker 11>earnings something next year in multiple state these levels of

0:46:46.040 --> 0:46:49.319
<v Speaker 11>rates are coming down, They probably can, But looking for

0:46:49.360 --> 0:46:51.440
<v Speaker 11>another twenty five percent up here in the s and

0:46:51.520 --> 0:46:55.520
<v Speaker 11>P five hundred is probably outlandishly optimistic.

0:46:55.800 --> 0:46:58.399
<v Speaker 2>Yeah, and looking at that diversification away you mentioned equen

0:46:58.400 --> 0:47:00.719
<v Speaker 2>he's being a part of a portfolio. High quality debt

0:47:00.800 --> 0:47:02.759
<v Speaker 2>seems to be something that's very much in vogu. Where

0:47:02.760 --> 0:47:04.319
<v Speaker 2>are you looking and what do you see opportunities for

0:47:04.440 --> 0:47:06.880
<v Speaker 2>twenty twenty four. If we aren't going to see a

0:47:06.920 --> 0:47:08.720
<v Speaker 2>continued move higher for equities.

0:47:09.280 --> 0:47:12.040
<v Speaker 11>I think it's barbeled. On the one hand, you absolutely

0:47:12.040 --> 0:47:15.360
<v Speaker 11>want exposure to very high quality bonds, whether it's treasuries

0:47:15.440 --> 0:47:18.680
<v Speaker 11>or investment grade municipal bonds. Yields are still very high

0:47:18.719 --> 0:47:21.440
<v Speaker 11>relative to ten year time frame, and they're a nice

0:47:21.800 --> 0:47:26.839
<v Speaker 11>diversifier under most conditions relative to risk on assets like equities. Conversely,

0:47:27.440 --> 0:47:29.920
<v Speaker 11>given that short rates are so high, you can still

0:47:30.000 --> 0:47:34.520
<v Speaker 11>access floating rate private credit type structures even in the

0:47:34.560 --> 0:47:37.640
<v Speaker 11>public markets through things like interval funds, which are just

0:47:37.680 --> 0:47:41.040
<v Speaker 11>basically mutual funds that don't give you daily liquidity but

0:47:41.120 --> 0:47:44.359
<v Speaker 11>still allow investors to get access to floating rate debt

0:47:44.400 --> 0:47:47.480
<v Speaker 11>across a wide arranged companies that is yielding over ten

0:47:47.520 --> 0:47:51.759
<v Speaker 11>percent currently. So Barbell the middle we're less excited about

0:47:51.920 --> 0:47:54.879
<v Speaker 11>publicly traded day on, day off high yield bonds aren't

0:47:54.920 --> 0:47:59.160
<v Speaker 11>quite as compelling because if the economy softens, typically prices

0:47:59.200 --> 0:48:02.560
<v Speaker 11>of high yield bar drop a bit, spreads widen, and

0:48:02.640 --> 0:48:04.480
<v Speaker 11>right now is probably not the right time to be

0:48:04.520 --> 0:48:07.160
<v Speaker 11>in that component of the bond market. But the Barbell

0:48:07.280 --> 0:48:11.600
<v Speaker 11>is very high quality bond to offset risk from equities

0:48:11.640 --> 0:48:16.160
<v Speaker 11>and floating rate loans, particularly more issued to private companies

0:48:16.239 --> 0:48:19.319
<v Speaker 11>right now, seems to be a nice barbell around a

0:48:19.360 --> 0:48:20.319
<v Speaker 11>stock portfolio.

0:48:20.360 --> 0:48:21.960
<v Speaker 3>Allan, do you think we saw the top of the

0:48:22.640 --> 0:48:26.720
<v Speaker 3>ten year when yields hit about five percent.

0:48:26.600 --> 0:48:29.680
<v Speaker 11>Yes, we in fact believe we have found that to

0:48:29.719 --> 0:48:31.799
<v Speaker 11>be the case. The reason we believe that to be

0:48:31.840 --> 0:48:34.040
<v Speaker 11>the case is with the economy is in fact going

0:48:34.080 --> 0:48:37.280
<v Speaker 11>to slow from here. We do think inflation has peaked.

0:48:37.320 --> 0:48:39.879
<v Speaker 11>We do believe the Fed will inevitably have to make

0:48:39.920 --> 0:48:42.879
<v Speaker 11>some rate cuts. And the easiest way to think about

0:48:42.880 --> 0:48:45.279
<v Speaker 11>it is when you buy a tenure treasury bond, it's

0:48:45.280 --> 0:48:48.400
<v Speaker 11>the same as buying a three month treasure bill forty

0:48:48.520 --> 0:48:51.520
<v Speaker 11>consecutive three month periods of time, and a three month

0:48:51.560 --> 0:48:53.959
<v Speaker 11>treasure bill is more or less tied to the Fed

0:48:54.000 --> 0:48:55.799
<v Speaker 11>funds rate. So if you think the Fed is going

0:48:55.800 --> 0:48:58.520
<v Speaker 11>to lower its rates for the next year or so,

0:48:58.960 --> 0:49:01.960
<v Speaker 11>and you think about where it's sustainable rate is, it

0:49:01.960 --> 0:49:04.720
<v Speaker 11>tells you that a tenure yield is probably too high,

0:49:05.120 --> 0:49:07.400
<v Speaker 11>or it was too high when it was at five percent. So,

0:49:07.440 --> 0:49:10.040
<v Speaker 11>in fact, we think now is an opportune time to

0:49:10.200 --> 0:49:12.719
<v Speaker 11>have some of that exposure to longer term bonds because

0:49:12.760 --> 0:49:15.560
<v Speaker 11>we think those long term yields have peaked or peaked

0:49:16.080 --> 0:49:18.240
<v Speaker 11>back in October when the tenure hit five percent.

0:49:18.400 --> 0:49:20.920
<v Speaker 2>Well, Allen, you mentioned stability. What does a stable tenure

0:49:20.960 --> 0:49:21.319
<v Speaker 2>look like?

0:49:23.480 --> 0:49:26.120
<v Speaker 11>What does a stable tenure yield look like? A stable

0:49:26.160 --> 0:49:29.759
<v Speaker 11>tenure yield is a FED is basically what a three

0:49:29.800 --> 0:49:32.400
<v Speaker 11>month treasury bill gives you, plus a modest premium for

0:49:32.440 --> 0:49:34.359
<v Speaker 11>the factor you're locking up your money for ten years,

0:49:34.440 --> 0:49:37.000
<v Speaker 11>So you have to work backwards. Where should a three

0:49:37.000 --> 0:49:40.560
<v Speaker 11>month treasury bill be? It should probably be somewhere a

0:49:40.600 --> 0:49:44.400
<v Speaker 11>little bit around where the long term new Fed funds

0:49:44.440 --> 0:49:47.279
<v Speaker 11>neutral rate is. A FED fund's neutral rate is effectively

0:49:47.320 --> 0:49:50.920
<v Speaker 11>the short term rate that enables for two percent inflation

0:49:51.440 --> 0:49:55.120
<v Speaker 11>and modest economic growth without a recession. So the Fed

0:49:55.160 --> 0:49:57.320
<v Speaker 11>believes that rate is somewhere around two to two and

0:49:57.360 --> 0:50:00.200
<v Speaker 11>a half percent. So maybe a three month treasury bill

0:50:00.239 --> 0:50:01.640
<v Speaker 11>of some around two and a half to two and

0:50:01.680 --> 0:50:04.719
<v Speaker 11>three quarters percent. You add on your premium for time,

0:50:04.760 --> 0:50:06.560
<v Speaker 11>and maybe you're at a three and a half percent

0:50:06.960 --> 0:50:10.160
<v Speaker 11>long term tenure treasure yield as an aspirational place to be.

0:50:10.520 --> 0:50:13.239
<v Speaker 11>We're still in an elevated inflation level, so with a

0:50:13.360 --> 0:50:16.120
<v Speaker 11>tenure trading at around four percent today, it's actually three

0:50:16.160 --> 0:50:19.320
<v Speaker 11>point eighty six today. We're working our way down slowly

0:50:19.360 --> 0:50:21.200
<v Speaker 11>towards that three and a half percent. And of course,

0:50:21.239 --> 0:50:22.919
<v Speaker 11>when you buy a long term bond, you're also getting

0:50:22.960 --> 0:50:25.719
<v Speaker 11>more income historically than you do with short rates, So

0:50:26.080 --> 0:50:28.640
<v Speaker 11>we would argue we're working our way towards a stable

0:50:28.719 --> 0:50:30.760
<v Speaker 11>ten year yield. We're not quite there yet.

0:50:30.680 --> 0:50:32.960
<v Speaker 3>Alan, just about twenty seconds left. Just give us some

0:50:33.000 --> 0:50:35.160
<v Speaker 3>details of what you think of recession in twenty twenty

0:50:35.160 --> 0:50:35.960
<v Speaker 3>four could look like.

0:50:37.200 --> 0:50:39.560
<v Speaker 11>Well, a recession in twenty twenty four comes from the

0:50:39.560 --> 0:50:42.919
<v Speaker 11>fact that it turns out consumers have overspent all their

0:50:42.960 --> 0:50:45.800
<v Speaker 11>savings and a post COVID high, they don't spend a

0:50:45.840 --> 0:50:48.040
<v Speaker 11>lot of money. When we get past the holiday season,

0:50:48.120 --> 0:50:51.920
<v Speaker 11>it turns out retailers and other service providers over anticipate

0:50:51.920 --> 0:50:54.080
<v Speaker 11>how much consumption would come. They end up haf to

0:50:54.160 --> 0:50:57.520
<v Speaker 11>cutting jobs, which in turn further cuts consumption. That leads

0:50:57.520 --> 0:50:59.400
<v Speaker 11>to an unfortunate spiral and a recession.

0:51:00.080 --> 0:51:01.840
<v Speaker 4>Alan Zaffron, Happy holidays.

0:51:01.840 --> 0:51:03.880
<v Speaker 3>If we don't connect between now and the end of

0:51:03.880 --> 0:51:06.799
<v Speaker 3>the year, really appreciate you joining us and joining us

0:51:06.800 --> 0:51:09.280
<v Speaker 3>throughout the years here on Bloomberg Business Week. Alan Zaffron

0:51:09.320 --> 0:51:12.720
<v Speaker 3>is founder and founding partner and co CEO at Iq Capital.

0:51:12.800 --> 0:51:15.959
<v Speaker 3>Joining us on zoom from Foster City, California. You're listening

0:51:16.000 --> 0:51:18.600
<v Speaker 3>to Bloomberg BusinessWeek, and this is Bloomberg.

0:51:20.360 --> 0:51:23.640
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