WEBVTT - Citi, Moderna, Arm, and AI

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller.

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<v Speaker 2>Every business day we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moving news.

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<v Speaker 1>Find the Bloomberg Markets Podcast on Apple Podcasts or wherever

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<v Speaker 1>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 3>All right, some big.

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<v Speaker 1>News out of City Group. Are good friends over there

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<v Speaker 1>at Citygroup, former employer of mine. Big restructuring, so give

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<v Speaker 1>me some headcount reductions. Let's break it down with two

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<v Speaker 1>people who really know this stuff, and that is Shananibossk,

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<v Speaker 1>she covers all Wall Street for Bloomberg News, and of

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<v Speaker 1>course Alison Williams. She is our senior bank's analyst at

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<v Speaker 1>Bloomberg Intelligence. Alison, thanks you joined us zoom chanaledge here

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<v Speaker 1>in studio. Ali to start with you. How big of

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<v Speaker 1>a deal is this for City You've covered this stock forever,

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<v Speaker 1>so I think.

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<v Speaker 4>You know, I recharacterize it as a reorganization perhaps versus

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<v Speaker 4>a restructuring, where I think they're just really trying to,

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<v Speaker 4>you know, clean up the reporting lines and maybe help

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<v Speaker 4>management to be a bit more focused and also you

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<v Speaker 4>know showcase. You know, as an analyst, I'm excited to

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<v Speaker 4>get cleaner reporting where we can you know, finally see

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<v Speaker 4>what's happening with their private bank, with their wealth unit.

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<v Speaker 4>You know, there was some hints at this over the

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<v Speaker 4>summer just and you know even prior, I guess with

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<v Speaker 4>some of the hires that they made, and I just

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<v Speaker 4>think it's you know, another step in James's journey, if

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<v Speaker 4>you will, in terms of just making this a cleaner,

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<v Speaker 4>more focused banks and bank and hopefully getting to the

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<v Speaker 4>efficiency that investors have long wanted them to get to.

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<v Speaker 2>So yeah, Shanali, I mean, is this going to help

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<v Speaker 2>Jane Fraser boost the stock price? Because that's bottom line, right,

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<v Speaker 2>And I'm looking at you know, over the last five years,

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<v Speaker 2>they're down thirty percent, whereas Goldman's up sixty three percent,

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<v Speaker 2>Morgan Stanley's more than doubled.

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<v Speaker 5>It's certainly a time story for Citygroup. We have had

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<v Speaker 5>her first set of restructurings here, if you will, where

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<v Speaker 5>she let go of certain consumer businesses around the world.

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<v Speaker 5>And now what is difficult for Jane Fraser and their

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<v Speaker 5>investors of Citygroup is that there are still a lot

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<v Speaker 5>of unquestioned a lot of unanswered questions about this reorganization,

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<v Speaker 5>one being how many jobs will be lost. Underneath the surface,

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<v Speaker 5>our sources say that there could be significant had count

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<v Speaker 5>reductions here because what City Group is doing is removing

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<v Speaker 5>layers of management, and this only this announcement only addresses

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<v Speaker 5>the top two layers. The reality is is they're going

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<v Speaker 5>to be looking across management around the world, across divisions.

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<v Speaker 5>One of the things they did in this reorg is

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<v Speaker 5>they got rid of many of their regional divisions here.

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<v Speaker 5>So the way you think about Citygroup now is that

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<v Speaker 5>their Citygroup North America and their City Group International, and

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<v Speaker 5>you now have five main business lines. It's no longer

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<v Speaker 5>just the main two, which is institutional client group as

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<v Speaker 5>well as the consumer offerings. Most of that can zoomer

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<v Speaker 5>business now is the United States North America. Okay, So

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<v Speaker 5>there was a real reason that they needed to do this.

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<v Speaker 5>City Group today does not look the same as City

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<v Speaker 5>Group two decades ago, when the initial set of current

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<v Speaker 5>structure is.

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<v Speaker 6>What you see.

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<v Speaker 5>In a way, you can see this as the most

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<v Speaker 5>significant reorganization in two decades because this is really getting

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<v Speaker 5>rid of the groups that we have known for so

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<v Speaker 5>long as.

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<v Speaker 2>A day, Well, it strikes me, Allison, as it came

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<v Speaker 2>out of my mouth, I realized, probably Golden Sachs and

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<v Speaker 2>Morgan Stanley aren't the best comparison to City in terms

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<v Speaker 2>of stock price performance. You know, WELLS Fargo over the

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<v Speaker 2>last five years is also down only ten percent, not

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<v Speaker 2>thirty percent, but also down. Bank America over the last

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<v Speaker 2>five years is only up eight percent, So not down

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<v Speaker 2>thirty percent, but up eight percent.

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<v Speaker 3>Are those better comparisons for City?

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<v Speaker 7>I think they are.

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<v Speaker 4>I think at the end of the day, when we

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<v Speaker 4>look at all of these banks, you know, the way

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<v Speaker 4>that investors think about it is, you know, the valuation

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<v Speaker 4>is going to be tied to returns as it should be, right,

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<v Speaker 4>and so someone like someone like Morgan Stanley that you

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<v Speaker 4>refer to, the comparison could you make, could that you

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<v Speaker 4>could make is they've improved their structural returns through moving

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<v Speaker 4>towards the wealth business. You know, looking at someone like

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<v Speaker 4>JP Morgan, who's a very different bank, they're actually executing,

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<v Speaker 4>you know, above all of their peers. You know, part

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<v Speaker 4>of that is the scale that helps the profitability across

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<v Speaker 4>their businesses, and they have leading returns. And so the

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<v Speaker 4>struggle with City and I think, you know, part of

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<v Speaker 4>the reason why it's been tough for the stock is

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<v Speaker 4>they just have not been able to improve the returns.

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<v Speaker 4>And if you look across the group, their returns are

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<v Speaker 4>the worst. You know, wells Fargo, you know, during certain

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<v Speaker 4>periods of times with all their big charges, had had

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<v Speaker 4>some weaker returns. But they're sort of on the on

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<v Speaker 4>the path to better profitability and so that's really what

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<v Speaker 4>needs to deliver on at the end of the day,

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<v Speaker 4>it is those returns. And I think why this is

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<v Speaker 4>important is, you know, as you clear the structure, and

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<v Speaker 4>you know that's been one of the biggest issues of

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<v Speaker 4>City is all the bureaucracy and really sort of a

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<v Speaker 4>massive organization. But if you can get that cleaner and

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<v Speaker 4>you can improve the efficiency of those core businesses, they

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<v Speaker 4>do have some good businesses to work with, some higher

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<v Speaker 4>returning what should be high returning businesses, Chanalie, what.

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<v Speaker 1>Do you think Jane Fraser wants the message to be

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<v Speaker 1>about City group? And I think, like Morgan Stanley, I

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<v Speaker 1>think if James Gorman pivot towards wealth management so successful,

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<v Speaker 1>what do you think Jane Fraser would like that view

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<v Speaker 1>of City to be?

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<v Speaker 5>You know, On one hand, it's simpler for James Gorman

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<v Speaker 5>to sit there and say we're an investment bank and

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<v Speaker 5>we're a wealth and asset manager. For Jane Fraser, it's

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<v Speaker 5>a different story. Her goal here is to have all

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<v Speaker 5>of her managers essentially get one message, which is get leaner.

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<v Speaker 5>They have one of the largest investment banks in the world.

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<v Speaker 5>But just take the M and A business for example.

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<v Speaker 5>The reason I bring up the M and A business

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<v Speaker 5>is you are sitting there. They are sitting at it

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<v Speaker 5>at number six and the lead tales. Actually I just

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<v Speaker 5>looked at it and got kind of stunned because they're

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<v Speaker 5>behind cent of you, which is a lot, you know,

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<v Speaker 5>and that is in terms of deal volumes, and that

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<v Speaker 5>you know, a year, two years, three years ago is

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<v Speaker 5>just the stunning thing to see this late in the year.

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<v Speaker 5>And so the share that they need to gain to

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<v Speaker 5>keep those fees up as well as squeeze every dollar

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<v Speaker 5>out of the costs that they have. You know, it's

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<v Speaker 5>a twofold story. It's one, get competitive and win two,

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<v Speaker 5>be more efficient with every dollar we have to improve profitability.

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<v Speaker 5>And so you know, the investment bank is a really

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<v Speaker 5>good example because in this reorg one open question among

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<v Speaker 5>those five business leaders is who will run the investment

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<v Speaker 5>bank over at City the banking business. Currently they have

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<v Speaker 5>tapped an interim head, Peter Bubbey, who is the CEO

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<v Speaker 5>at the Asia business. You have to consider this. This

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<v Speaker 5>is one of the top five M and A businesses

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<v Speaker 5>in the world. It is one of the hottest jobs

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<v Speaker 5>on Wall Street.

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<v Speaker 6>And guess what.

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<v Speaker 5>They have a huge IPO business, a huge det unready business,

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<v Speaker 5>and that person, you can't imagine wouldn't one day be

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<v Speaker 5>the successor for Jane Fraser herself.

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<v Speaker 7>You know.

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<v Speaker 5>Again, they have a consumer business that's quite large as well,

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<v Speaker 5>but they have a massive investment bank and it is

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<v Speaker 5>a seriously competitive spot.

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<v Speaker 1>And my buddy Tyler Dixon still running the investment bank over.

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<v Speaker 5>There, and he is under the new banking I.

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<v Speaker 1>Know that's interesting, but Tyler is just one of the

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<v Speaker 1>smartest guys in the room, every room he's in. Shanali Bassett,

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<v Speaker 1>thank you so much. We got Allison Williams, thank you

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<v Speaker 1>so much as well.

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<v Speaker 8>You're listening to the Team Ken's are Live program Bloomberg

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<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg dot com,

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<v Speaker 8>the iHeartRadio app, and the Bloomberg Business app or listen

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<v Speaker 8>on demand wherever you get your podcasts.

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<v Speaker 1>Lots going on here today. We want to pivot hard

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<v Speaker 1>here and we want to talk pharmaceuticals and we want

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<v Speaker 1>to talk drugs and all that kind of stuff. And

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<v Speaker 1>we can do that well.

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<v Speaker 3>And one of the biggest winners the day, biggest.

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<v Speaker 1>Winners of the day, Stefan Bonsel, CEO of Moderna that

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<v Speaker 1>is a Nasdaq traded stock. Mr NA is the ticker

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<v Speaker 1>to put into your Bloomberg terminal. You know nobody. I

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<v Speaker 1>guess when you sit around your Thanksgiving table, everybody likes

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<v Speaker 1>to just complain about drug prices, right, everybody does it.

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<v Speaker 1>It's crossed the aisle. But I turned it around a

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<v Speaker 1>couple of years ago and said, okay, we can do

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<v Speaker 1>that because we always like to complain about drug prices.

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<v Speaker 1>But these guys in the farmer, in the biotech industry, mandad,

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<v Speaker 1>they come through with COVID.

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<v Speaker 7>Yeah.

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<v Speaker 2>I think actually, as a society, we were all a

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<v Speaker 2>little bit relieved.

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<v Speaker 1>I'm like, in twelve months, these guys came up with

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<v Speaker 1>a vaccine. I mean, who does that, But you guys did.

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<v Speaker 1>Thank you very much. Thank you to the five for

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<v Speaker 1>folks and all the other farmer and biotech folks out there,

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<v Speaker 1>that mandad they come through with that vaccine. Appreciate it. Now,

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<v Speaker 1>what are you doing modern now? Tell us that you

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<v Speaker 1>guys have your R and D day today, you bring

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<v Speaker 1>out all your new stuff for your investors, for your stakeholders.

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<v Speaker 1>What's the big message for your R and D day today?

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<v Speaker 9>That's well, not the COVID company, yes for the kind

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<v Speaker 9>of word yes, thank you though, and the money platform

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<v Speaker 9>company and the platform is firing on every cylinders today

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<v Speaker 9>went on seeing positive fluid data in phase three. So

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<v Speaker 9>if you think about it in terms of vaccines, we

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<v Speaker 9>are free out of free COVID working URSV file to

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<v Speaker 9>VFDA and to the positive flugh data. In cancer, we

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<v Speaker 9>are now products showing forty four percent improvement versus the

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<v Speaker 9>best drug available to patients today, which is immunotherapy in

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<v Speaker 9>melanomas kin cancer. And we're going to start before the

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<v Speaker 9>end of the year a phase free study in learn

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<v Speaker 9>cancer cancer.

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<v Speaker 10>We really going to transform as well.

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<v Speaker 2>First that is that, by the way, because of MR

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<v Speaker 2>and A technology. And I'll just remind listeners we are

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<v Speaker 2>talking with Stephan Bansel right now. He's the chief executive

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<v Speaker 2>officer of Moderna. And as you said, you're not just

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<v Speaker 2>a COVID company. You did have have an mRNA vaccine

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<v Speaker 2>for COVID that maybe save the world a lot more

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<v Speaker 2>pain than it would have seen. But you also have

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<v Speaker 2>a flu vaccine that is driving the stock up today

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<v Speaker 2>six and a half percent, and cancer treatments that we hope,

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<v Speaker 2>we all hope, I think are going to be successful

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<v Speaker 2>and could drive revenue another fifteen billion starting in twenty

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<v Speaker 2>twenty eight. So tell us about the mRNA technology that

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<v Speaker 2>we all kind of learned about a couple of years ago.

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<v Speaker 11>Sure.

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<v Speaker 9>So, Emmania, as you learned about, is an information molecule.

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<v Speaker 9>We basically code in that molecule what protein we want

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<v Speaker 9>your body to make. That would be your drug, your medicine.

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<v Speaker 9>And in cancer, now what we have shown is a

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<v Speaker 9>huge impact on survival and being able to not have

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<v Speaker 9>recurrence of disease compared to the best drugs available to

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<v Speaker 9>the two patients. And the third chapter for us after

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<v Speaker 9>infictio zas, vaccine and cancer is real genetic disease. We

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<v Speaker 9>are now free out of free real genetic disease, showing

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<v Speaker 9>positive data in kids with those diseases.

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<v Speaker 10>That have no hope today, zero hope.

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<v Speaker 1>All right, So back to the flu, because it's we're

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<v Speaker 1>getting into flu season. What is your flu vaccine? What

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<v Speaker 1>is new, what is different? It just tell us about

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<v Speaker 1>what you start today. Why are people so excited about

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<v Speaker 1>the flu vaccine?

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<v Speaker 9>Because first we're going to be able to participate and

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<v Speaker 9>provide a very high efficacy flu vaccine. What we've showed

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<v Speaker 9>in actually over studies is that actually it's as good as.

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<v Speaker 10>The best vaccine on the market for flu.

0:11:29.280 --> 0:11:31.360
<v Speaker 9>But what people I think I excited about is the

0:11:31.400 --> 0:11:34.800
<v Speaker 9>idea of combination, Meaning we're going to show before the

0:11:34.920 --> 0:11:38.240
<v Speaker 9>end of the year flu and covid combine in the

0:11:38.280 --> 0:11:41.360
<v Speaker 9>single shots, so in the following years you won't have

0:11:41.440 --> 0:11:42.959
<v Speaker 9>to go and get a flu shot in one arm

0:11:42.960 --> 0:11:44.199
<v Speaker 9>and the covid shot in ther arm.

0:11:44.559 --> 0:11:45.360
<v Speaker 10>They'll be combined.

0:11:45.360 --> 0:11:47.600
<v Speaker 9>And then over time we're going to keep adding more

0:11:47.640 --> 0:11:52.080
<v Speaker 9>and more respiratory virus like RSV to the combination as well,

0:11:52.600 --> 0:11:54.319
<v Speaker 9>so that you can have only one shot early in

0:11:54.400 --> 0:11:56.200
<v Speaker 9>the four at the pharmacy, and then you have a

0:11:56.200 --> 0:11:58.000
<v Speaker 9>happy follower in winter you're not sick.

0:11:58.760 --> 0:12:01.320
<v Speaker 1>So but this is for next year, This is not

0:12:01.360 --> 0:12:03.520
<v Speaker 1>for this cournflusing Okay, got it. I just want to get

0:12:03.520 --> 0:12:04.800
<v Speaker 1>clear on the timing.

0:12:04.880 --> 0:12:06.440
<v Speaker 3>You can still get your flu vaccine for this. I'm

0:12:06.440 --> 0:12:06.760
<v Speaker 3>gonna go.

0:12:06.720 --> 0:12:08.600
<v Speaker 1>Down to LL two and get my flu vaccine. I mean,

0:12:08.640 --> 0:12:13.640
<v Speaker 1>who doesn't do that? So with mr mRNA tech technology,

0:12:14.600 --> 0:12:16.960
<v Speaker 1>what's it three to five years down the road, what

0:12:17.040 --> 0:12:19.400
<v Speaker 1>do you expect that technology to tackle next?

0:12:19.440 --> 0:12:20.040
<v Speaker 10>Maybe?

0:12:20.480 --> 0:12:24.160
<v Speaker 9>So we're announcing today at Adiday that we should launch

0:12:24.320 --> 0:12:26.800
<v Speaker 9>fifteen new drug in the next five years.

0:12:26.880 --> 0:12:28.880
<v Speaker 1>Fifteen new drugs in the next five that's.

0:12:28.720 --> 0:12:32.800
<v Speaker 9>How incredible across cancer, infect disease, and genetic disease. We're

0:12:32.840 --> 0:12:36.200
<v Speaker 9>also working on an autoimmune disease I think althatries, chron

0:12:36.280 --> 0:12:39.200
<v Speaker 9>disease and so on. We believe we're going to bring

0:12:39.440 --> 0:12:43.520
<v Speaker 9>fifteen more drugs on top of forty we have in

0:12:43.600 --> 0:12:47.120
<v Speaker 9>development fifty five zero okay from the lab into the

0:12:47.200 --> 0:12:48.960
<v Speaker 9>clinic in the next five years, or around ten new

0:12:49.040 --> 0:12:51.959
<v Speaker 9>drugs per year moving from the labs into developments. So

0:12:52.000 --> 0:12:54.920
<v Speaker 9>what you see here is a true platform. There has

0:12:54.960 --> 0:12:57.280
<v Speaker 9>never been platform in the biotech far my industry. As

0:12:57.280 --> 0:12:59.280
<v Speaker 9>you know, most drugs go to the clinic. Yep, they're

0:12:59.320 --> 0:13:02.760
<v Speaker 9>fair ninety percent of drug starting a phase one will

0:13:02.800 --> 0:13:06.839
<v Speaker 9>never get launched Okay, I look at Moderna because of

0:13:06.880 --> 0:13:10.080
<v Speaker 9>our platform, because am money is an information molecule. We

0:13:10.120 --> 0:13:12.199
<v Speaker 9>are three out of three in vaccines, we have three

0:13:12.200 --> 0:13:16.800
<v Speaker 9>out of three in real genetic disease cancer. Incredible improvements

0:13:16.840 --> 0:13:17.959
<v Speaker 9>and it's just the beginning.

0:13:18.000 --> 0:13:21.120
<v Speaker 2>All right, this is all because of the mRNA technology.

0:13:21.320 --> 0:13:24.320
<v Speaker 2>And I have a funding question. Then what happens if

0:13:25.480 --> 0:13:30.000
<v Speaker 2>you know the COVID vaccine revenues don't meet your expectations?

0:13:30.040 --> 0:13:32.199
<v Speaker 2>Can you still fund that kind of growth?

0:13:32.679 --> 0:13:32.880
<v Speaker 7>Sure?

0:13:32.960 --> 0:13:34.320
<v Speaker 9>I mean, if you look at it, we say that

0:13:34.360 --> 0:13:36.520
<v Speaker 9>this year we should be six to eight billion dollars

0:13:36.520 --> 0:13:39.600
<v Speaker 9>of cells, which is still a very significant number.

0:13:40.040 --> 0:13:40.679
<v Speaker 10>For turnover.

0:13:41.240 --> 0:13:44.120
<v Speaker 9>We are fourteen billion dollar on a balanch sheet that

0:13:44.200 --> 0:13:46.720
<v Speaker 9>we got through the COVID sales over the last two years,

0:13:47.040 --> 0:13:49.079
<v Speaker 9>and so we can fund around we think twenty five

0:13:49.080 --> 0:13:52.200
<v Speaker 9>billion dollar of RD growth by cash directing, by the

0:13:52.200 --> 0:13:55.480
<v Speaker 9>business and the balance sheet. And we will also not

0:13:55.559 --> 0:13:57.960
<v Speaker 9>be shy to partner if we have to. We're obsessed

0:13:57.960 --> 0:14:00.400
<v Speaker 9>about getting those drugs to patients to be finish line.

0:14:01.000 --> 0:14:03.080
<v Speaker 9>But if you look at for example, with Vertex, we

0:14:03.240 --> 0:14:07.000
<v Speaker 9>partnered for cistic fibrosi, it's for inhale. The money getting

0:14:07.000 --> 0:14:09.199
<v Speaker 9>to the long of a kid that have cistic fibrosis

0:14:09.520 --> 0:14:13.440
<v Speaker 9>by inhalation, we develop that technology yet another fourth cylinder

0:14:13.440 --> 0:14:16.040
<v Speaker 9>for moderna to develop a new family of drugs. And

0:14:16.080 --> 0:14:17.679
<v Speaker 9>so that's what we're trying to do is push a

0:14:17.720 --> 0:14:20.080
<v Speaker 9>boundary of science, get more and more drugs and if

0:14:20.120 --> 0:14:21.280
<v Speaker 9>we have to partner, and we'll partner.

0:14:21.520 --> 0:14:22.880
<v Speaker 3>But it's expensive to do.

0:14:23.120 --> 0:14:28.920
<v Speaker 2>And you know, because of recent legislation the United States,

0:14:29.440 --> 0:14:31.720
<v Speaker 2>the bidance strategs past, the United States is going to

0:14:32.000 --> 0:14:36.560
<v Speaker 2>not only negotiate prices with drug makers, but set prices

0:14:37.080 --> 0:14:39.040
<v Speaker 2>with drug makers.

0:14:39.680 --> 0:14:42.120
<v Speaker 3>Is that a concern to you very much?

0:14:42.160 --> 0:14:45.120
<v Speaker 9>So as the rest of the industry as voiced, you

0:14:45.160 --> 0:14:49.280
<v Speaker 9>cannot set prices because ird is risky. As we just

0:14:49.320 --> 0:14:53.600
<v Speaker 9>talked about ninety percent of drugs entering the clinic failure,

0:14:54.640 --> 0:14:57.200
<v Speaker 9>very high failure rate of the industry as a whole.

0:14:57.440 --> 0:14:58.640
<v Speaker 10>If you start to set.

0:14:58.440 --> 0:15:00.880
<v Speaker 9>Price and not look at value that is bringing by

0:15:00.920 --> 0:15:04.080
<v Speaker 9>the drugs, you're going to reduce the ability of pharmasty,

0:15:04.120 --> 0:15:06.240
<v Speaker 9>core and biotech companies to invest in innovation.

0:15:06.720 --> 0:15:07.720
<v Speaker 10>And that's a big worry.

0:15:07.760 --> 0:15:09.600
<v Speaker 2>But they're going to set prices, So how are you

0:15:09.600 --> 0:15:10.320
<v Speaker 2>going to deal with it?

0:15:10.760 --> 0:15:13.240
<v Speaker 9>So we just need to keep innovating and figure out

0:15:13.280 --> 0:15:17.680
<v Speaker 9>ways to go after smaller disease type selling around the world,

0:15:18.080 --> 0:15:20.320
<v Speaker 9>because again the US of course is the number one

0:15:20.360 --> 0:15:23.320
<v Speaker 9>market in the world, but other markets are also very important,

0:15:23.480 --> 0:15:26.680
<v Speaker 9>like Europe, you know, Japan, and so we're going to

0:15:26.760 --> 0:15:28.040
<v Speaker 9>have to grow internationally as well.

0:15:28.040 --> 0:15:30.480
<v Speaker 10>But it's a big issue. I'm worried about it, all right.

0:15:30.520 --> 0:15:32.760
<v Speaker 1>How about I always joke that in my next life

0:15:32.800 --> 0:15:34.760
<v Speaker 1>I want to come back as a healthcare m and

0:15:34.800 --> 0:15:37.000
<v Speaker 1>a banker because every Monday we come in and there's

0:15:37.040 --> 0:15:39.800
<v Speaker 1>another healthcare deal that you are one of your competitors.

0:15:39.800 --> 0:15:44.200
<v Speaker 1>Do is there something that you need to buy in

0:15:44.240 --> 0:15:46.000
<v Speaker 1>the next couple of years to get to where you

0:15:46.040 --> 0:15:48.240
<v Speaker 1>want to go that maybe is not in your pipeline

0:15:48.280 --> 0:15:48.680
<v Speaker 1>right now.

0:15:49.080 --> 0:15:49.120
<v Speaker 7>No.

0:15:49.360 --> 0:15:51.440
<v Speaker 9>What is cool about Amani is we are the world

0:15:51.480 --> 0:15:54.120
<v Speaker 9>leader in AMANI. Even BioNTech, which is a great company,

0:15:54.560 --> 0:15:56.720
<v Speaker 9>they are doing small molecule, a lot of molecule, a

0:15:56.760 --> 0:16:00.200
<v Speaker 9>lot of different technologies. We are only doing AMMONI. What

0:16:00.240 --> 0:16:03.080
<v Speaker 9>we're doing through obed activity is ever buying. We bought

0:16:03.080 --> 0:16:06.200
<v Speaker 9>a company in Japan over the Christmas breaks a cool

0:16:06.200 --> 0:16:10.200
<v Speaker 9>technology to make our EMMANI operating system stronger and bigger.

0:16:10.200 --> 0:16:11.480
<v Speaker 10>So we can do more drugs.

0:16:11.800 --> 0:16:14.880
<v Speaker 9>We are nowso mon there dealing cancer with a company

0:16:14.920 --> 0:16:18.120
<v Speaker 9>in Germany that has very cool science and biology that

0:16:18.200 --> 0:16:21.680
<v Speaker 9>we can code into the EMANI molecule to do new drugs.

0:16:21.680 --> 0:16:25.520
<v Speaker 9>So this will do to expand the potential of impacting patients.

0:16:26.280 --> 0:16:27.760
<v Speaker 3>All right, excellent to have you in here.

0:16:27.760 --> 0:16:29.240
<v Speaker 2>I really appreciate it, and I know you're going to

0:16:29.320 --> 0:16:32.880
<v Speaker 2>go on television in just a moment, so our listeners

0:16:32.920 --> 0:16:35.680
<v Speaker 2>will be able to watch you with Alex Steel and

0:16:35.680 --> 0:16:40.760
<v Speaker 2>Guy Johnson on the European clothes. Just a fascinating discussion

0:16:41.200 --> 0:16:44.280
<v Speaker 2>and also a fascinating move in the stock up six

0:16:44.280 --> 0:16:45.040
<v Speaker 2>point seven percent.

0:16:45.120 --> 0:16:47.520
<v Speaker 1>Yeah about that, Stefan Bansel, thank you so much for

0:16:47.600 --> 0:16:50.560
<v Speaker 1>joining Usteffan as the CEO of Momoderna again the taker

0:16:50.640 --> 0:16:54.520
<v Speaker 1>symbol free stock Jockey's out there, mr Na. We appreciate that.

0:16:55.040 --> 0:16:56.840
<v Speaker 1>Thank you so much. All right, looking ahead here at

0:16:56.880 --> 0:17:01.320
<v Speaker 1>this market here we are pretty much unchanged, so you know,

0:17:01.360 --> 0:17:03.400
<v Speaker 1>we're gonna be very interesting to see how this market.

0:17:03.400 --> 0:17:05.600
<v Speaker 1>But you know Moderna that again, that's stock, as you mentioned,

0:17:05.840 --> 0:17:10.080
<v Speaker 1>Matt up six percent today, down thirty seven percent year

0:17:10.160 --> 0:17:10.600
<v Speaker 1>to date.

0:17:10.880 --> 0:17:14.040
<v Speaker 8>You're listening to the tape cans are live program Bloomberg

0:17:14.080 --> 0:17:17.679
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:17:17.720 --> 0:17:19.680
<v Speaker 8>tune in app, Bloomberg dot Com, and.

0:17:19.640 --> 0:17:20.960
<v Speaker 11>The Bloomberg Business App.

0:17:21.000 --> 0:17:23.800
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:17:23.840 --> 0:17:28.240
<v Speaker 8>flagship New York station Just Say Alexa playing Bloomberg eleven thirty.

0:17:30.119 --> 0:17:33.520
<v Speaker 1>Uncle Crawford joins us. She's a portfolio manager and executive

0:17:33.560 --> 0:17:35.880
<v Speaker 1>VP at Aldre. Encour thank you so much for joining

0:17:35.920 --> 0:17:38.479
<v Speaker 1>us here in our Bloomberg Interactive Broker studio. I just

0:17:38.520 --> 0:17:40.399
<v Speaker 1>love looking at people's you know, kind of how they

0:17:40.480 --> 0:17:42.800
<v Speaker 1>kind of came up through the business. So, but you've

0:17:42.840 --> 0:17:46.520
<v Speaker 1>been at Alger since September two thousand and four, so

0:17:46.560 --> 0:17:51.199
<v Speaker 1>you've seen some market movements. What are you telling? What

0:17:51.240 --> 0:17:54.199
<v Speaker 1>are you guys at Aldre doing now? Stock market's up

0:17:54.240 --> 0:17:55.760
<v Speaker 1>double digits this year, We've had a little bit of

0:17:55.800 --> 0:17:57.800
<v Speaker 1>a bounce back off of an ugly twenty twenty two.

0:17:58.520 --> 0:17:59.199
<v Speaker 1>Now what do we do?

0:18:00.200 --> 0:18:02.040
<v Speaker 12>Yeah, I think it's not going to be quite as

0:18:02.080 --> 0:18:05.919
<v Speaker 12>easy as it has been over the last nine months. Okay,

0:18:06.000 --> 0:18:09.800
<v Speaker 12>and we're going into chop your waters, and in part

0:18:09.840 --> 0:18:13.560
<v Speaker 12>because we're just waiting for the economy to respond and

0:18:13.600 --> 0:18:16.120
<v Speaker 12>we just don't know the magnitude of how it's going

0:18:16.160 --> 0:18:18.600
<v Speaker 12>to respond. Is it going to be a soft landing,

0:18:18.680 --> 0:18:21.720
<v Speaker 12>hard landing, no landing? And I think no landing is

0:18:21.760 --> 0:18:26.160
<v Speaker 12>coming off the table. I think the expectation is now

0:18:26.200 --> 0:18:29.320
<v Speaker 12>for soft landing, and there's arguments for hard landing. So

0:18:29.960 --> 0:18:33.160
<v Speaker 12>I think because of that uncertainty in the market right now,

0:18:33.240 --> 0:18:37.639
<v Speaker 12>the consumer resilience is starting to taper. The job market

0:18:37.880 --> 0:18:41.520
<v Speaker 12>is starting to come off a boil. We're going to

0:18:41.520 --> 0:18:42.440
<v Speaker 12>see you chop your market.

0:18:42.600 --> 0:18:44.440
<v Speaker 3>Does landing imply cuts?

0:18:45.000 --> 0:18:47.879
<v Speaker 2>I mean in hard landing, clearly think the fed's going

0:18:47.960 --> 0:18:51.160
<v Speaker 2>to cut because that means we're in a bad recession.

0:18:51.560 --> 0:18:55.040
<v Speaker 2>I don't totally know what soft landing means in terms

0:18:55.040 --> 0:18:59.760
<v Speaker 2>of a FED reaction, and do they cut or you know,

0:18:59.600 --> 0:19:01.400
<v Speaker 2>I know what the soft landing is like in terms

0:19:01.400 --> 0:19:02.359
<v Speaker 2>of an airplane.

0:19:02.560 --> 0:19:03.440
<v Speaker 3>I'm just saying, like.

0:19:03.400 --> 0:19:07.080
<v Speaker 2>When you come down right and just set it down gently.

0:19:07.280 --> 0:19:11.280
<v Speaker 2>I guess growth doesn't contract, but it's also not expanding

0:19:11.280 --> 0:19:14.440
<v Speaker 2>at a massive pace. And does the FED then cut

0:19:14.520 --> 0:19:16.520
<v Speaker 2>or do they leave rate higher for longer?

0:19:16.600 --> 0:19:19.240
<v Speaker 12>You know what? And that's the risk they could actually

0:19:19.359 --> 0:19:23.920
<v Speaker 12>leave rates higher for longer in that scenario. So it's

0:19:23.920 --> 0:19:26.639
<v Speaker 12>funny because the people that believe that the FED is

0:19:26.680 --> 0:19:29.240
<v Speaker 12>going to cut, and they're excited about the FED cuts.

0:19:30.359 --> 0:19:33.120
<v Speaker 12>I look at them and say, well, you know what, first,

0:19:33.160 --> 0:19:35.320
<v Speaker 12>the economy has to get really bad if they're going

0:19:35.400 --> 0:19:36.320
<v Speaker 12>to cut at this pace.

0:19:36.400 --> 0:19:38.600
<v Speaker 2>I will warn you that Paul thinks that we're going

0:19:38.680 --> 0:19:42.720
<v Speaker 2>to have a nice soft landing and the Fed's gonna cut.

0:19:43.119 --> 0:19:45.160
<v Speaker 1>The former equity analys I'm always on Freggre optimistic.

0:19:46.320 --> 0:19:50.840
<v Speaker 2>Yes, a former equity analyst with a floating rate mortgage.

0:19:50.960 --> 0:19:53.120
<v Speaker 3>So he would like to rEFInd you.

0:19:53.040 --> 0:19:54.680
<v Speaker 12>Know, maybe that's wishful thinking.

0:19:54.920 --> 0:19:57.399
<v Speaker 1>I know, I know, I couldn't accuse that before. All Right,

0:19:57.720 --> 0:20:00.000
<v Speaker 1>you know we're just talking to Kaylee Lines from Bloomberg Television.

0:20:00.080 --> 0:20:02.359
<v Speaker 1>She's done a DC kind of reporting on this AI

0:20:02.840 --> 0:20:06.359
<v Speaker 1>thing in Congress. How do you guys alter review AI

0:20:06.480 --> 0:20:08.200
<v Speaker 1>because you could argue that's been a big driver of

0:20:08.280 --> 0:20:09.440
<v Speaker 1>the performance this year.

0:20:09.800 --> 0:20:13.920
<v Speaker 12>Yeah, we are very very bullish on AI. We've been

0:20:13.960 --> 0:20:17.280
<v Speaker 12>bullish on AI, and we think that jen AI and

0:20:17.320 --> 0:20:21.200
<v Speaker 12>what we're seeing with these LLM models, large language models,

0:20:21.359 --> 0:20:24.840
<v Speaker 12>the large language models that are democratizing.

0:20:23.920 --> 0:20:26.480
<v Speaker 1>Sing your PhD in engineering, I like it, see I.

0:20:26.440 --> 0:20:30.600
<v Speaker 12>Like it that it's basically democratizing technology and it's going

0:20:30.640 --> 0:20:34.200
<v Speaker 12>to create a step function up in adoption rates for

0:20:34.359 --> 0:20:39.480
<v Speaker 12>all kinds of businesses through healthcare, industrials, tech. So highly

0:20:39.480 --> 0:20:42.040
<v Speaker 12>bullish on AI. The adoption is going to be we

0:20:42.080 --> 0:20:44.560
<v Speaker 12>think thirty to forty percent by the end of this decade,

0:20:45.480 --> 0:20:48.720
<v Speaker 12>which is in any kind of industrial revolution that we've seen.

0:20:49.119 --> 0:20:51.280
<v Speaker 12>It's the fastest adoption rate we're going to see.

0:20:51.320 --> 0:20:53.160
<v Speaker 3>But will it hit the labor market?

0:20:53.240 --> 0:20:55.399
<v Speaker 2>I mean, right now, we saw unemployment come up to

0:20:55.480 --> 0:20:57.800
<v Speaker 2>like three point eight percent, right but that was all

0:20:57.880 --> 0:20:59.760
<v Speaker 2>because more people were coming back in.

0:21:00.320 --> 0:21:04.360
<v Speaker 3>So it's still a very tight, very strong labor market.

0:21:04.720 --> 0:21:05.440
<v Speaker 3>That's what we hear.

0:21:06.560 --> 0:21:09.240
<v Speaker 2>Is AI going to displace a lot of jobs in

0:21:09.280 --> 0:21:10.760
<v Speaker 2>the by the end of the decade.

0:21:11.040 --> 0:21:13.080
<v Speaker 12>I think it's hard to say. But just on the

0:21:13.480 --> 0:21:17.200
<v Speaker 12>before we move on to AI, on the unemployment and employment,

0:21:17.640 --> 0:21:21.520
<v Speaker 12>Walmart and best Buy both the conferences this week indicated

0:21:21.560 --> 0:21:25.199
<v Speaker 12>that Walmart, we know, is taking down starting wages for jobs.

0:21:25.480 --> 0:21:26.800
<v Speaker 1>They're taking down they're.

0:21:26.600 --> 0:21:30.280
<v Speaker 12>Taking down wages really. Best Buy indicated that you know,

0:21:30.400 --> 0:21:33.399
<v Speaker 12>maybe they would do low single digits or worse than

0:21:33.440 --> 0:21:35.600
<v Speaker 12>low single digits, which would be you know, we we

0:21:35.680 --> 0:21:39.199
<v Speaker 12>think that means zero. So wage growth is now starting

0:21:39.240 --> 0:21:42.320
<v Speaker 12>to come off a boil, which is the first indication

0:21:42.480 --> 0:21:44.880
<v Speaker 12>in the economy that employments starting.

0:21:44.560 --> 0:21:48.040
<v Speaker 2>To turn interesting to see the labor market kind of

0:21:48.359 --> 0:21:49.400
<v Speaker 2>flagging a little bit.

0:21:49.880 --> 0:21:52.680
<v Speaker 12>Yeah, So if you look at ours worked, ours worked

0:21:52.720 --> 0:21:55.120
<v Speaker 12>is coming off its peaks. It's been declining for a year,

0:21:55.200 --> 0:21:59.520
<v Speaker 12>year and a half hourly wages. Right now it's still rising.

0:21:59.640 --> 0:22:02.480
<v Speaker 12>I think we start to see a moderation. But that's

0:22:02.520 --> 0:22:05.800
<v Speaker 12>just on the employment side. So as for GENAI and

0:22:05.840 --> 0:22:08.560
<v Speaker 12>what the impact will be, what we're hearing right now

0:22:08.680 --> 0:22:13.360
<v Speaker 12>is companies that are deploying GENAI inside of their own

0:22:13.440 --> 0:22:17.280
<v Speaker 12>businesses today, they're not firing people, but they don't have

0:22:17.320 --> 0:22:20.439
<v Speaker 12>to hire as many people because productivity is increasing. So

0:22:20.520 --> 0:22:23.119
<v Speaker 12>does it change the composition of the labor market and

0:22:23.200 --> 0:22:26.360
<v Speaker 12>the demand for labor. It might. But what it means

0:22:26.400 --> 0:22:27.919
<v Speaker 12>that we're going to have to retool. We're going to

0:22:27.920 --> 0:22:30.320
<v Speaker 12>have to retool our economy and our workforce.

0:22:30.480 --> 0:22:32.320
<v Speaker 1>Oh boy, that's just what a lot of folks want

0:22:32.320 --> 0:22:32.480
<v Speaker 1>to hear.

0:22:32.560 --> 0:22:32.639
<v Speaker 7>Right.

0:22:32.800 --> 0:22:36.600
<v Speaker 1>First they got and mean by people going across jobs

0:22:36.600 --> 0:22:37.960
<v Speaker 1>going across seas and now they have to do this

0:22:37.960 --> 0:22:39.960
<v Speaker 1>whole worry about AI. All right, When I think of

0:22:40.040 --> 0:22:43.800
<v Speaker 1>Fred alger Asset management or algie. I think growth investors.

0:22:46.320 --> 0:22:48.439
<v Speaker 1>Where are you guys looking what sectors are kind of

0:22:48.480 --> 0:22:50.600
<v Speaker 1>interesting to you? We mentioned maybe tech and AI and

0:22:50.600 --> 0:22:52.160
<v Speaker 1>that type of thing, or else are you guys looking

0:22:52.160 --> 0:22:52.920
<v Speaker 1>for opportunities?

0:22:53.240 --> 0:22:56.560
<v Speaker 12>You know, I think when people think of AI and

0:22:56.600 --> 0:23:00.680
<v Speaker 12>investors think of AI, they automatically say Nvidia or Microsoft,

0:23:00.760 --> 0:23:03.040
<v Speaker 12>and yes, we are investing. We are big holders of

0:23:03.040 --> 0:23:07.040
<v Speaker 12>both Microsoft and Video and the common AI platforms. But

0:23:07.200 --> 0:23:10.160
<v Speaker 12>what they forget is that in order to deploy all

0:23:10.200 --> 0:23:14.119
<v Speaker 12>of this AI, we also need to be you know,

0:23:14.160 --> 0:23:16.679
<v Speaker 12>we need to build data centers. Okay, there are no

0:23:16.760 --> 0:23:19.760
<v Speaker 12>data centers. Data centers are full. We need electricity.

0:23:20.240 --> 0:23:24.200
<v Speaker 1>So data centers are full. Where are the data centers

0:23:24.240 --> 0:23:25.080
<v Speaker 1>and why are they full?

0:23:25.720 --> 0:23:28.480
<v Speaker 12>Well, in part, they're full because there's no electricity going

0:23:28.480 --> 0:23:30.639
<v Speaker 12>to the data centers, and so there's going to have

0:23:30.680 --> 0:23:34.280
<v Speaker 12>to be this CAPEX cycle that supports the utilities to

0:23:34.320 --> 0:23:38.119
<v Speaker 12>provide electricity to the data center. And so, you know,

0:23:38.160 --> 0:23:42.480
<v Speaker 12>there's a lot of interesting names the like Quanta, Quanta,

0:23:42.520 --> 0:23:45.960
<v Speaker 12>PWR or you know, we have an investment in a

0:23:45.960 --> 0:23:50.080
<v Speaker 12>company called Vertice, which is a cooling company and so

0:23:50.119 --> 0:23:54.679
<v Speaker 12>they basically they provide widgets into a data center and

0:23:54.760 --> 0:23:57.760
<v Speaker 12>one of those widgets is the new cooling mechanism that

0:23:57.800 --> 0:23:59.960
<v Speaker 12>you're going to need for these GENAI servers.

0:24:00.520 --> 0:24:01.919
<v Speaker 3>So there's digital bridge.

0:24:02.240 --> 0:24:06.399
<v Speaker 12>There's different ways. Yeah, there's different ways to play this

0:24:06.560 --> 0:24:10.080
<v Speaker 12>trend in industrials and other parts of the economy that

0:24:10.080 --> 0:24:11.200
<v Speaker 12>we're also focused on.

0:24:12.040 --> 0:24:12.720
<v Speaker 3>That's interesting.

0:24:12.800 --> 0:24:14.720
<v Speaker 2>You know, we did a big story about Mexico and

0:24:14.720 --> 0:24:17.000
<v Speaker 2>how difficult it is to be reshoring there because they

0:24:17.040 --> 0:24:20.520
<v Speaker 2>just don't have the infrastructure. Okay, right, and I guess

0:24:20.520 --> 0:24:24.399
<v Speaker 2>the same problem faces Generative AI because you need to

0:24:24.440 --> 0:24:28.320
<v Speaker 2>have a lot more giant server farms set up to

0:24:28.400 --> 0:24:30.560
<v Speaker 2>run all the Nvidia chips that are getting ordered.

0:24:30.800 --> 0:24:32.600
<v Speaker 1>Well don't we have a lot of you fly over

0:24:32.680 --> 0:24:35.600
<v Speaker 1>territory that put a big server farm out there.

0:24:35.680 --> 0:24:37.400
<v Speaker 2>Yeah, but you got to put it up. I mean

0:24:37.440 --> 0:24:40.000
<v Speaker 2>it takes money, right. You need the bulldozers, you need

0:24:40.040 --> 0:24:42.600
<v Speaker 2>all the cat equipment, you know, that's what we're talking about,

0:24:43.119 --> 0:24:44.840
<v Speaker 2>and you got to put in the computers.

0:24:44.880 --> 0:24:48.400
<v Speaker 1>So are you concerned about valuation in this marketplace because

0:24:48.440 --> 0:24:49.800
<v Speaker 1>a lot of folks say, hey, if you strip out

0:24:49.800 --> 0:24:52.560
<v Speaker 1>the magnificent seven, this market's not so expensive. How do

0:24:52.600 --> 0:24:53.680
<v Speaker 1>you guys think about valuation?

0:24:54.080 --> 0:24:56.240
<v Speaker 12>So we kind of do it as a sum of

0:24:56.280 --> 0:24:59.199
<v Speaker 12>the parts, and we look at the components. So you

0:24:59.200 --> 0:25:02.560
<v Speaker 12>look at Microsoft. Microsoft currently trades at you know, on

0:25:02.720 --> 0:25:04.399
<v Speaker 12>a grunt you have to look out to twenty twenty

0:25:04.400 --> 0:25:07.520
<v Speaker 12>five when they have a full blossoming of their AI

0:25:07.760 --> 0:25:10.399
<v Speaker 12>or least they're on way to that. It trades at

0:25:10.400 --> 0:25:16.080
<v Speaker 12>a high teens multiple. You look at Meta, Meta trades

0:25:16.119 --> 0:25:18.840
<v Speaker 12>at a mid teams multiple. Google at a mid to

0:25:18.920 --> 0:25:23.040
<v Speaker 12>high teens multiple on twenty twenty four numbers. So you know,

0:25:23.040 --> 0:25:25.439
<v Speaker 12>there are portions of the market, big portions of the

0:25:25.440 --> 0:25:30.639
<v Speaker 12>market that actually don't screen as having necessarily an incregious valuation.

0:25:32.240 --> 0:25:34.720
<v Speaker 12>Look now there's other portions of the market that you know,

0:25:34.800 --> 0:25:38.640
<v Speaker 12>one can say, you know, the growthier stuff that has

0:25:38.760 --> 0:25:40.960
<v Speaker 12>worked this year, could it pulled back?

0:25:41.240 --> 0:25:43.479
<v Speaker 1>It could, Okay? On Core Crawfit, thank you so much

0:25:43.520 --> 0:25:46.040
<v Speaker 1>for joining us, Really appreciate it. On Core Crawford, she's

0:25:46.040 --> 0:25:49.280
<v Speaker 1>a portfolio management and executive vice president at Alger the

0:25:49.320 --> 0:25:51.320
<v Speaker 1>asset management folks. Some good folks there.

0:25:51.359 --> 0:25:53.240
<v Speaker 3>I've known a doctor and an engineer.

0:25:53.240 --> 0:25:57.320
<v Speaker 8>I know you're listening to the Team Cancer Live program

0:25:57.440 --> 0:26:00.280
<v Speaker 8>Bloomberg Markets weekdays at ten am Eastern.

0:26:00.080 --> 0:26:02.880
<v Speaker 11>On Bloomberg dot com. The iHeartRadio app and.

0:26:02.840 --> 0:26:05.760
<v Speaker 8>The Bloomberg Business app or listen on demand wherever you

0:26:05.800 --> 0:26:06.800
<v Speaker 8>get your podcasts.

0:26:08.720 --> 0:26:10.359
<v Speaker 1>All right, let's talk to IPOs because we got the

0:26:10.359 --> 0:26:13.240
<v Speaker 1>IPO market. Actually have a little interest out there. We're

0:26:13.240 --> 0:26:15.680
<v Speaker 1>gonna we got the belly Lipscholtzho covers all the markets

0:26:15.920 --> 0:26:19.560
<v Speaker 1>for us. And then Kunjohn Sabani, he leads semiiconductor analysts

0:26:19.600 --> 0:26:23.560
<v Speaker 1>for Bloomberg Intelligencies, based out there in the beautiful San

0:26:23.560 --> 0:26:26.920
<v Speaker 1>Francisco awes on peer three. Uh down there in the Embarcadero.

0:26:27.440 --> 0:26:30.000
<v Speaker 1>Great stuff out there, he joins us via zoom Belly.

0:26:30.040 --> 0:26:32.439
<v Speaker 1>I want to start with you, uh, Birkenstock. When I

0:26:32.440 --> 0:26:36.480
<v Speaker 1>think Birkenstock, I think Matt Miller, you know, and they're

0:26:36.480 --> 0:26:38.359
<v Speaker 1>going public. Talk to us about this company and what

0:26:38.400 --> 0:26:38.919
<v Speaker 1>this deal is.

0:26:39.119 --> 0:26:39.320
<v Speaker 11>Yeah.

0:26:39.359 --> 0:26:40.359
<v Speaker 1>The company filed for.

0:26:40.280 --> 0:26:44.000
<v Speaker 13>Their IPO yesterday evening, kind of an anticipated Bloomberg had

0:26:44.000 --> 0:26:46.840
<v Speaker 13>been all over that expecting that they will target an

0:26:46.920 --> 0:26:49.280
<v Speaker 13>initial evaluation about eight billion dollars.

0:26:49.480 --> 0:26:50.800
<v Speaker 1>Looking at some of the results.

0:26:50.520 --> 0:26:53.880
<v Speaker 13>That they laid out, though profitable, growing, the two things

0:26:53.880 --> 0:26:56.639
<v Speaker 13>that investors are really looking for their el Caterton backed.

0:26:56.720 --> 0:27:01.240
<v Speaker 13>So uh, interesting deal l out for this company when

0:27:01.240 --> 0:27:03.639
<v Speaker 13>you look at kind of where we are talking to

0:27:03.680 --> 0:27:05.840
<v Speaker 13>some of the analysts and investors. Latest in a string

0:27:05.840 --> 0:27:08.959
<v Speaker 13>of consumer facing companies that have filed. So consumer, if

0:27:09.000 --> 0:27:11.679
<v Speaker 13>you're profitable, if you're growing, and you have durability, some

0:27:11.800 --> 0:27:15.560
<v Speaker 13>insight into where you're going going forward, seems to be

0:27:16.080 --> 0:27:18.880
<v Speaker 13>one of the areas alongside tech that there is interest

0:27:19.080 --> 0:27:21.320
<v Speaker 13>both from the company and from investors.

0:27:21.800 --> 0:27:25.639
<v Speaker 2>All right, So that's that's nothing that Kunjon cares about. No,

0:27:25.960 --> 0:27:30.920
<v Speaker 2>he's a lead semiconductor analyst. Maybe you're wearing birkenstocks, Kunjohn,

0:27:30.960 --> 0:27:33.360
<v Speaker 2>but you're focused I guess primarily on ARM.

0:27:33.440 --> 0:27:35.720
<v Speaker 7>Right, Yeah, all right, right.

0:27:35.640 --> 0:27:38.159
<v Speaker 1>Talk to us about this this ipo ARM is a

0:27:38.280 --> 0:27:40.159
<v Speaker 1>tell us what ARM is and tell us kind of

0:27:40.160 --> 0:27:41.720
<v Speaker 1>what the pitch is from your perspective.

0:27:42.720 --> 0:27:45.600
<v Speaker 7>Yeah, So ARM is a semiconductor design IP company. They

0:27:45.600 --> 0:27:48.720
<v Speaker 7>don't make chips. They make an IP which other chip

0:27:48.760 --> 0:27:53.240
<v Speaker 7>makers can use and create for creating chips. Historically, the

0:27:53.280 --> 0:27:56.240
<v Speaker 7>because they have been they have the largest i mean

0:27:56.480 --> 0:27:58.560
<v Speaker 7>entire market when it comes to a smartphone, ninety nine

0:27:58.600 --> 0:28:01.760
<v Speaker 7>percent market share, so that what they wear historically. Then

0:28:01.800 --> 0:28:05.040
<v Speaker 7>when Software bought them, the play was that IoT is

0:28:05.040 --> 0:28:07.560
<v Speaker 7>supposed to be this big thing, so they got into IoT.

0:28:07.880 --> 0:28:11.879
<v Speaker 7>They have their Internet of Things, yes, and they're still

0:28:11.880 --> 0:28:14.400
<v Speaker 7>a dominant player in that market. The pitch right now

0:28:14.400 --> 0:28:17.280
<v Speaker 7>for the IPO is really on AI, as is for

0:28:17.359 --> 0:28:21.919
<v Speaker 7>every sevilconnector company these days. Right now they have single

0:28:21.960 --> 0:28:26.040
<v Speaker 7>digit market share in data center and AI, but the

0:28:26.119 --> 0:28:28.480
<v Speaker 7>pitches that that market share will grow and they are

0:28:28.720 --> 0:28:31.320
<v Speaker 7>expected to be the fastest growing in that.

0:28:32.760 --> 0:28:35.120
<v Speaker 1>But but Kunjin, you've been around. We hired you away

0:28:35.160 --> 0:28:39.280
<v Speaker 1>from Deutsche Bank, so major upgrade there, Kunjin, You've seen

0:28:39.280 --> 0:28:40.040
<v Speaker 1>this stuff come and go.

0:28:40.160 --> 0:28:41.239
<v Speaker 6>You know what the real deal is.

0:28:41.400 --> 0:28:44.040
<v Speaker 1>They're asking me at the IPO to buy a phone

0:28:44.120 --> 0:28:47.560
<v Speaker 1>chip design company, but pay an AI multiple? Is that?

0:28:47.640 --> 0:28:51.760
<v Speaker 7>Is that the gig that is almost yes, okay, are

0:28:51.760 --> 0:28:55.040
<v Speaker 7>you buying it? So when they came out with the

0:28:55.120 --> 0:28:58.120
<v Speaker 7>initial target of sixteen seventy, we wrote that this seems

0:28:58.200 --> 0:29:01.080
<v Speaker 7>very ambitious even exactly one of the reasons what you

0:29:01.080 --> 0:29:04.200
<v Speaker 7>pointed out. But the pricing with they came out, which

0:29:04.200 --> 0:29:07.280
<v Speaker 7>is midpoint of fifty, we like that as a starting point.

0:29:07.800 --> 0:29:11.239
<v Speaker 7>We thought that would invite some attractive positive discussions from

0:29:11.280 --> 0:29:13.320
<v Speaker 7>the investors, and it seems from the data we have

0:29:13.400 --> 0:29:16.479
<v Speaker 7>heard that get their numerous times over subscribed, so that

0:29:16.680 --> 0:29:19.280
<v Speaker 7>seem to have worked. But yes, to answer your question,

0:29:19.320 --> 0:29:22.200
<v Speaker 7>I mean, look, this happens. I was also in banking before,

0:29:22.200 --> 0:29:24.680
<v Speaker 7>so I've done IPOs for semi companies and this is

0:29:24.680 --> 0:29:28.080
<v Speaker 7>how usually the conversion goes. During IPOs, people are pitching

0:29:28.320 --> 0:29:30.880
<v Speaker 7>way far out, like what this can be in five years.

0:29:31.160 --> 0:29:33.720
<v Speaker 7>And the theory is, if you believe that thesis, you're

0:29:33.760 --> 0:29:37.000
<v Speaker 7>buying it today for lower because once it gets there,

0:29:37.040 --> 0:29:39.640
<v Speaker 7>once they have a lot of data center revenues, they're

0:29:39.640 --> 0:29:41.920
<v Speaker 7>going to get a lot more premium for their evaluation

0:29:42.000 --> 0:29:44.120
<v Speaker 7>and that's where investors can generate their return.

0:29:45.120 --> 0:29:45.560
<v Speaker 11>Very good.

0:29:45.640 --> 0:29:50.960
<v Speaker 1>Hey, Billy Birkenstock, I mean it's is what's the pitch

0:29:50.960 --> 0:29:53.000
<v Speaker 1>here is is this going to be a lifestyle kind

0:29:53.000 --> 0:29:53.320
<v Speaker 1>of are.

0:29:53.320 --> 0:29:54.320
<v Speaker 3>Going to be five years out?

0:29:54.400 --> 0:29:54.560
<v Speaker 11>Yeah?

0:29:54.800 --> 0:29:57.240
<v Speaker 2>I mean the same thing as there were fifty years before.

0:29:57.560 --> 0:29:59.720
<v Speaker 2>I mean what's changed?

0:30:00.120 --> 0:30:01.760
<v Speaker 13>No, I mean they were in the Barbie movie, so

0:30:01.800 --> 0:30:06.200
<v Speaker 13>that reinventiated interest with the youths. When you look at

0:30:06.240 --> 0:30:08.239
<v Speaker 13>their sales, they're one of the things that stood out

0:30:08.280 --> 0:30:10.600
<v Speaker 13>in the filing is kind of this push towards direct

0:30:10.600 --> 0:30:13.120
<v Speaker 13>to consumer sales, so trying to cut out the cost

0:30:13.160 --> 0:30:14.760
<v Speaker 13>of going through a traditional.

0:30:14.280 --> 0:30:16.760
<v Speaker 1>Brick and mortar or other kind of website.

0:30:16.960 --> 0:30:19.520
<v Speaker 13>When you look at it though, eight billion dollar price

0:30:19.600 --> 0:30:24.120
<v Speaker 13>about eighteen times forecasted adjusted EBITDAH, so in line with

0:30:24.880 --> 0:30:29.160
<v Speaker 13>the Nikes of the world, though margins are typically higher

0:30:29.200 --> 0:30:32.040
<v Speaker 13>for Birkenstock. It is going to be interesting though what

0:30:32.080 --> 0:30:34.600
<v Speaker 13>they pitch comps at. Though you look at Decker's brands,

0:30:34.680 --> 0:30:36.720
<v Speaker 13>one that comes to mind talking to a couple, ay us,

0:30:36.880 --> 0:30:39.840
<v Speaker 13>maybe a Lulu could be really seen as the high end.

0:30:40.200 --> 0:30:44.120
<v Speaker 13>But it's going to be an interesting, more kind of

0:30:44.800 --> 0:30:48.680
<v Speaker 13>typical IPO in terms of consumer facing company that doesn't

0:30:48.680 --> 0:30:51.760
<v Speaker 13>have these ambitious kind of pitch in terms of AI

0:30:51.960 --> 0:30:53.840
<v Speaker 13>or massive hockey stick growth.

0:30:53.880 --> 0:30:58.240
<v Speaker 2>But do they have to pull back their pricing ambition

0:30:58.360 --> 0:31:01.600
<v Speaker 2>the same as we've seen with ARM and others. I mean,

0:31:02.760 --> 0:31:04.840
<v Speaker 2>are the is this a down round for everybody?

0:31:05.400 --> 0:31:08.720
<v Speaker 13>No, because this was bought by el Caddatan Private Equity

0:31:08.840 --> 0:31:12.880
<v Speaker 13>House back by Luxury Group LVMH for essentially four point

0:31:12.880 --> 0:31:15.920
<v Speaker 13>three billion US dollars. So this is actually kind of

0:31:15.960 --> 0:31:18.959
<v Speaker 13>on the growthier side, which at least in terms of

0:31:19.000 --> 0:31:21.480
<v Speaker 13>the ARM deal where SoftBank bought the MAT which right

0:31:21.480 --> 0:31:23.720
<v Speaker 13>now would be implied about it's seventy percent return, they're

0:31:23.720 --> 0:31:26.800
<v Speaker 13>actually seeing marks up to the positive as opposed to

0:31:27.080 --> 0:31:29.640
<v Speaker 13>Instacart Claviow the two IPOs that are set to price

0:31:29.760 --> 0:31:30.480
<v Speaker 13>sometime next week.

0:31:30.480 --> 0:31:31.800
<v Speaker 1>Who are taking White the haircut?

0:31:31.880 --> 0:31:32.320
<v Speaker 3>Kunjohn?

0:31:32.360 --> 0:31:34.000
<v Speaker 2>It is a down round for ARM in a way,

0:31:34.080 --> 0:31:38.880
<v Speaker 2>right because SoftBank just bought a twenty five percent stake

0:31:39.200 --> 0:31:41.240
<v Speaker 2>from itself for much more.

0:31:41.480 --> 0:31:44.040
<v Speaker 7>Yes, exactly, yes, So so if you take that as

0:31:44.040 --> 0:31:45.280
<v Speaker 7>a benchmarket is a down row.

0:31:45.400 --> 0:31:46.840
<v Speaker 3>Yeah, but why what?

0:31:46.840 --> 0:31:47.040
<v Speaker 7>What?

0:31:47.040 --> 0:31:49.000
<v Speaker 3>What happened there? What's the deal?

0:31:50.280 --> 0:31:54.160
<v Speaker 7>I mean they didn't publicly say a lot, but it

0:31:54.320 --> 0:31:58.040
<v Speaker 7>seemed to what being for from it is two things

0:31:58.080 --> 0:32:01.840
<v Speaker 7>that ARM doesn't think, that Softman thinks that ARM is

0:32:01.880 --> 0:32:03.760
<v Speaker 7>just getting started. So there will be a lot of

0:32:03.800 --> 0:32:06.320
<v Speaker 7>more opportunities for them to come on with follow on

0:32:06.400 --> 0:32:09.760
<v Speaker 7>offerings at much higher valuation, especially when that data center

0:32:09.840 --> 0:32:12.040
<v Speaker 7>part becomes a larger portion of the revenues.

0:32:12.680 --> 0:32:17.360
<v Speaker 1>All right, thirty seconds, Kunjohn, what's what's your feeling about AI?

0:32:17.440 --> 0:32:19.120
<v Speaker 1>Are you drinking kool aid like everybody else?

0:32:21.360 --> 0:32:27.160
<v Speaker 7>Fundamentally, it definitely seems to be here to stay. I

0:32:27.240 --> 0:32:29.720
<v Speaker 7>don't know, it's too soon to talk about valuation, right,

0:32:29.880 --> 0:32:33.400
<v Speaker 7>So it's barely been seven months we started talking about it,

0:32:33.520 --> 0:32:38.480
<v Speaker 7>But fundamentally we definitely see real activity and sustainable demand

0:32:38.560 --> 0:32:39.000
<v Speaker 7>going here.

0:32:39.120 --> 0:32:41.680
<v Speaker 1>All right, Kunjohn, next time you're in New York, you

0:32:41.760 --> 0:32:43.360
<v Speaker 1>have to stop by here and see Matt and I

0:32:43.520 --> 0:32:44.920
<v Speaker 1>in the studio. We haven't met yet, so.

0:32:44.840 --> 0:32:46.840
<v Speaker 2>You got But since you're out there in San Francisco,

0:32:46.920 --> 0:32:47.920
<v Speaker 2>are you on Peer three?

0:32:47.960 --> 0:32:48.560
<v Speaker 1>Is that where you are?

0:32:48.640 --> 0:32:48.920
<v Speaker 7>Yes?

0:32:48.960 --> 0:32:50.960
<v Speaker 3>There, Yes, you got to go over.

0:32:51.240 --> 0:32:54.520
<v Speaker 2>There's a market down the street that has a Slocum

0:32:55.200 --> 0:32:58.120
<v Speaker 2>and Humphrey or Humphrey and Slocum ice cream place.

0:32:58.400 --> 0:32:59.120
<v Speaker 1>Yep, right, Daniel.

0:32:59.200 --> 0:33:01.520
<v Speaker 2>They have a flavor called Secret Breakfast, and I'm gonna

0:33:01.520 --> 0:33:04.840
<v Speaker 2>go ahead and recommend that Secret Breakfast all right, so.

0:33:04.800 --> 0:33:07.680
<v Speaker 1>We got that go and tattage grill as well for

0:33:08.080 --> 0:33:11.400
<v Speaker 1>the eats. Kun John Sabanik tech analysts for BIA in

0:33:11.440 --> 0:33:15.560
<v Speaker 1>San Francisco, Belly Lipshots covering the markets for Bloomberg News.

0:33:15.600 --> 0:33:18.680
<v Speaker 8>You're listening to the tape cans are live program Bloomberg

0:33:18.800 --> 0:33:22.400
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:33:22.440 --> 0:33:24.400
<v Speaker 8>tune in app, Bloomberg dot Com, and.

0:33:24.360 --> 0:33:25.680
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0:33:25.720 --> 0:33:28.520
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:33:28.560 --> 0:33:32.960
<v Speaker 8>flagship New York station, Just say Alexa play Bloomberg eleven thirty.

0:33:34.560 --> 0:33:36.239
<v Speaker 1>Well, a lot of folks I think probably came up

0:33:36.520 --> 0:33:39.080
<v Speaker 1>in the business kind of thinking about that sixty forty

0:33:39.120 --> 0:33:42.360
<v Speaker 1>portfolios being kind of ideal stocks and bonds. But a

0:33:42.400 --> 0:33:44.560
<v Speaker 1>lot of folks, you know, over the last decade plus

0:33:44.600 --> 0:33:46.239
<v Speaker 1>I have been saying, hey, you can juice returns if

0:33:46.280 --> 0:33:49.600
<v Speaker 1>you go with alternatives. Put that into your mix somewhere,

0:33:49.920 --> 0:33:51.840
<v Speaker 1>you know, maybe ten percent or something like that. But

0:33:51.880 --> 0:33:55.280
<v Speaker 1>one of the risks of alternatives is the less lower

0:33:55.320 --> 0:33:58.880
<v Speaker 1>liquidity and sometimes you know illiquidity. Our next guest tries

0:33:58.920 --> 0:34:01.320
<v Speaker 1>to address that issue. Ryan King. He's the see of

0:34:01.480 --> 0:34:05.920
<v Speaker 1>Lotus Markets. He joined us here in our Bloomberg Interactive

0:34:05.880 --> 0:34:08.320
<v Speaker 1>Broker studio. Brian, welcome, talk to us about Lotus markets.

0:34:08.360 --> 0:34:10.760
<v Speaker 1>What do you guys do there, What are you trying?

0:34:10.800 --> 0:34:12.520
<v Speaker 1>What market demand are you trying to meet?

0:34:13.160 --> 0:34:15.799
<v Speaker 6>Yeah, thank you so much for having me. We are

0:34:16.360 --> 0:34:20.000
<v Speaker 6>essentially a stock exchange for alternative investments. We're actually registered

0:34:20.040 --> 0:34:23.000
<v Speaker 6>as an ATS, which functions a lot like a stock exchange.

0:34:23.680 --> 0:34:27.480
<v Speaker 6>But to the point that you just made, most alternative

0:34:27.480 --> 0:34:31.880
<v Speaker 6>investments are largely ill liquid and we're seeing this massive

0:34:31.960 --> 0:34:37.080
<v Speaker 6>shift of where most alternative investments have historically been invested

0:34:37.520 --> 0:34:41.880
<v Speaker 6>in by major institutions, and the pendulum is is moving

0:34:41.920 --> 0:34:45.040
<v Speaker 6>more to individual investors, and you know, the closer you

0:34:45.040 --> 0:34:48.680
<v Speaker 6>get to a true retail investor, the more important liquidity becomes.

0:34:48.719 --> 0:34:51.360
<v Speaker 6>And so that's really what we're doing, is we're allowing

0:34:51.400 --> 0:34:53.480
<v Speaker 6>the opportunity to match buyers and sellers of these I

0:34:53.560 --> 0:34:54.360
<v Speaker 6>liquid assets.

0:34:55.040 --> 0:34:58.560
<v Speaker 1>All right, so how is it done before? Like, how

0:34:58.600 --> 0:35:00.719
<v Speaker 1>did you could I just not get quity in the past,

0:35:00.800 --> 0:35:02.840
<v Speaker 1>or how does how does this work? Give me an example,

0:35:02.880 --> 0:35:05.960
<v Speaker 1>maybe a trade or the types of trades you guys facilitate.

0:35:06.280 --> 0:35:10.160
<v Speaker 6>Yeah, so we started our market in the registered fund business.

0:35:10.200 --> 0:35:13.520
<v Speaker 6>So they're registered filing ks and ques, but they aren't

0:35:14.239 --> 0:35:17.520
<v Speaker 6>listed on an exchange. In many cases, these funds were

0:35:17.520 --> 0:35:20.799
<v Speaker 6>completely illiquid, so you couldn't have a liquidity event until

0:35:20.840 --> 0:35:24.080
<v Speaker 6>the fund decided that there was one. In some cases,

0:35:24.120 --> 0:35:26.839
<v Speaker 6>maybe you could pledge your shares into a redemption queue

0:35:26.840 --> 0:35:30.480
<v Speaker 6>and then they would buy back your shares. But for

0:35:30.560 --> 0:35:33.600
<v Speaker 6>the most part, though, if you needed you had like

0:35:33.640 --> 0:35:36.800
<v Speaker 6>an urgent need for liquidity, you would call up a broker.

0:35:36.880 --> 0:35:38.640
<v Speaker 6>The broker would try to find the other side of

0:35:38.640 --> 0:35:41.440
<v Speaker 6>the trade. They'd give you a dramatically deep discount of

0:35:41.920 --> 0:35:44.120
<v Speaker 6>you know, fifty sixty percent and you would pay a

0:35:44.160 --> 0:35:45.600
<v Speaker 6>ten percent commission to do that.

0:35:45.640 --> 0:35:46.560
<v Speaker 3>So you get ripped off.

0:35:47.040 --> 0:35:49.000
<v Speaker 6>Yes, your face is literally ripped off.

0:35:48.840 --> 0:35:51.080
<v Speaker 2>And you I mean, and that's part of what drove

0:35:51.120 --> 0:35:54.040
<v Speaker 2>you to create this, right because what happened? Did you

0:35:54.080 --> 0:35:55.960
<v Speaker 2>get ripped off before or you didn't want to get

0:35:56.040 --> 0:35:58.480
<v Speaker 2>ripped off when you needed liquidity or what happened?

0:35:58.880 --> 0:36:02.040
<v Speaker 6>Yeah, so i'd do. You have some very specific experiences

0:36:02.080 --> 0:36:04.680
<v Speaker 6>in my past, not me directly, but family members and

0:36:04.760 --> 0:36:08.560
<v Speaker 6>others that that were kind of locked up into alternative

0:36:08.600 --> 0:36:15.040
<v Speaker 6>investments and so for them situations specifically during the financial crisis,

0:36:15.360 --> 0:36:17.080
<v Speaker 6>they were looking to get out, they wanted to be

0:36:17.160 --> 0:36:20.040
<v Speaker 6>able to get in front of it, and ultimately some

0:36:20.080 --> 0:36:23.200
<v Speaker 6>of these funds went completely belly up. And so you know,

0:36:23.320 --> 0:36:25.560
<v Speaker 6>you you you live with those moments and you see

0:36:25.560 --> 0:36:28.040
<v Speaker 6>that type of a situation occur and you want to

0:36:28.040 --> 0:36:29.520
<v Speaker 6>be able to say there there's got to be a

0:36:29.520 --> 0:36:30.399
<v Speaker 6>solution for it.

0:36:30.680 --> 0:36:34.040
<v Speaker 1>Okay, So if you, if you, you know, facilitate a

0:36:34.080 --> 0:36:37.200
<v Speaker 1>trade on your exchange, how do you get paid? What's

0:36:37.239 --> 0:36:38.400
<v Speaker 1>kind of your business model?

0:36:38.719 --> 0:36:41.520
<v Speaker 6>So we right now, it doesn't the sponsor doesn't get

0:36:41.560 --> 0:36:44.560
<v Speaker 6>charged anything, the buyer doesn't get charged anything. But we

0:36:44.640 --> 0:36:47.120
<v Speaker 6>do charge the seller of three percent commission, so it's

0:36:47.120 --> 0:36:50.799
<v Speaker 6>not nothing, but these are a liquid so that's that's

0:36:50.840 --> 0:36:52.879
<v Speaker 6>the charge that we typically takes two point nine.

0:36:52.800 --> 0:36:54.120
<v Speaker 1>And how do you find the buyer? How do you

0:36:54.120 --> 0:36:56.239
<v Speaker 1>find the other side? You just you have relationships with

0:36:56.280 --> 0:36:59.320
<v Speaker 1>people that buy and sell these types of investments.

0:36:59.400 --> 0:37:01.960
<v Speaker 6>Yeah, there's a lot of natural buyers of alternative investments.

0:37:02.000 --> 0:37:05.200
<v Speaker 6>You can think of a lot of institutions like insurance companies,

0:37:05.280 --> 0:37:09.640
<v Speaker 6>hedge funds, size for you, so it can range, so

0:37:10.120 --> 0:37:11.839
<v Speaker 6>it can be all the way. We're an ATS. It's

0:37:11.840 --> 0:37:16.239
<v Speaker 6>actually sorry. ATS is an alternative trading system, so if

0:37:16.239 --> 0:37:18.280
<v Speaker 6>you think so. My background, I was part of BATS

0:37:18.320 --> 0:37:21.360
<v Speaker 6>as a startup company. BATS was an ATS before it

0:37:21.400 --> 0:37:25.240
<v Speaker 6>became in exchange. It functions a lot like a stock exchange,

0:37:25.239 --> 0:37:27.520
<v Speaker 6>but isn't regulated in the same way. It's a little

0:37:27.520 --> 0:37:27.960
<v Speaker 6>bit different.

0:37:27.960 --> 0:37:30.040
<v Speaker 2>And this is how you have a lot of experience

0:37:30.120 --> 0:37:35.200
<v Speaker 2>at BATS at n y C. And this is how

0:37:35.360 --> 0:37:38.080
<v Speaker 2>you not only know how to find buyers and sellers,

0:37:38.120 --> 0:37:40.320
<v Speaker 2>but how to put the infrastructure together, because that, I

0:37:40.719 --> 0:37:42.920
<v Speaker 2>have to guess is also an important part of it.

0:37:43.080 --> 0:37:45.759
<v Speaker 6>That's exactly right. So we're a technology company at our core,

0:37:46.440 --> 0:37:49.160
<v Speaker 6>so you build the technology, you build the framework. You know,

0:37:49.160 --> 0:37:52.680
<v Speaker 6>we're highly regulated both by FENRA and the SEC, and

0:37:52.719 --> 0:37:55.200
<v Speaker 6>so there is a lot that goes into it. But yeah,

0:37:55.239 --> 0:37:58.200
<v Speaker 6>we're you know, my background comes in helping to match

0:37:58.200 --> 0:38:00.839
<v Speaker 6>buyers and sellers and finding those in institutions. And then

0:38:01.000 --> 0:38:03.400
<v Speaker 6>we also have a lot of rias and family offices

0:38:03.440 --> 0:38:06.080
<v Speaker 6>that say, hey, we've already invested some of our clients

0:38:06.120 --> 0:38:08.040
<v Speaker 6>money in this and so we would be in many

0:38:08.080 --> 0:38:10.040
<v Speaker 6>cases wanting to buy more of it, and if you

0:38:10.040 --> 0:38:11.839
<v Speaker 6>could buy it at a discount, that's even better.

0:38:11.920 --> 0:38:15.160
<v Speaker 2>So I mean, I've read you're the third biggest ats

0:38:15.560 --> 0:38:17.719
<v Speaker 2>in the country and you've got some big players on

0:38:17.760 --> 0:38:19.840
<v Speaker 2>your platform.

0:38:20.360 --> 0:38:22.439
<v Speaker 3>Let's just look into list Blackstone.

0:38:21.880 --> 0:38:26.920
<v Speaker 2>Starward, Deutsche Bank Funds. How big is the platform if

0:38:26.920 --> 0:38:28.320
<v Speaker 2>you put all those assets together.

0:38:28.920 --> 0:38:31.320
<v Speaker 6>Yeah, so I think if you added up all the

0:38:31.719 --> 0:38:34.120
<v Speaker 6>assets that are on the platform, and'd be around two

0:38:34.239 --> 0:38:37.680
<v Speaker 6>hundred billion that we're trading today. But we made an

0:38:37.719 --> 0:38:40.200
<v Speaker 6>announcement a week ago, so you know, I talked about

0:38:40.280 --> 0:38:43.400
<v Speaker 6>registered funds is where we started. But we just launched

0:38:43.480 --> 0:38:48.400
<v Speaker 6>our first private real estate fun group, Walton Global is

0:38:48.440 --> 0:38:51.839
<v Speaker 6>now listed on our marketplace. We had four different you know,

0:38:52.000 --> 0:38:55.480
<v Speaker 6>large transactions in that but that was our first foray

0:38:55.520 --> 0:38:58.880
<v Speaker 6>into private real estate. Private real estate is a fourteen

0:38:58.960 --> 0:39:02.080
<v Speaker 6>trillion dollar marketplace, so it's a it's a it's a

0:39:02.120 --> 0:39:03.600
<v Speaker 6>wide addressable market.

0:39:03.640 --> 0:39:05.920
<v Speaker 2>But what do you mean by private real estate. It's

0:39:05.960 --> 0:39:10.040
<v Speaker 2>not like the Sweeney the Sweeney ranch on the Jersey Shore.

0:39:10.080 --> 0:39:11.040
<v Speaker 2>I mean, what are you talking about.

0:39:11.280 --> 0:39:13.000
<v Speaker 6>Yeah, So a lot of times you have sponsors that

0:39:13.040 --> 0:39:18.279
<v Speaker 6>put together private real estate deals. They raise capital from,

0:39:18.560 --> 0:39:21.239
<v Speaker 6>you know, large investors. Typically you have to be accredited

0:39:21.280 --> 0:39:25.120
<v Speaker 6>to invest in those types of investments, and so they

0:39:25.120 --> 0:39:28.200
<v Speaker 6>put those deals together, and typically you have to wait

0:39:28.239 --> 0:39:30.279
<v Speaker 6>for the sponsor to have a liquidity event before you

0:39:30.280 --> 0:39:32.279
<v Speaker 6>yourself can find one. So we're now starting to work

0:39:32.280 --> 0:39:35.560
<v Speaker 6>with sponsors to help them find liquidity for their shareholders

0:39:35.600 --> 0:39:36.040
<v Speaker 6>that wanted early.

0:39:36.160 --> 0:39:37.879
<v Speaker 1>Right, if i were a shareholder in one of those

0:39:37.920 --> 0:39:41.799
<v Speaker 1>things and I'm looking around Manhattan, I need to get

0:39:41.800 --> 0:39:44.040
<v Speaker 1>out of this thing because I think when XYZ Building

0:39:44.040 --> 0:39:45.799
<v Speaker 1>on Third Avenue trades, it's going to trade a fifty

0:39:45.840 --> 0:39:49.040
<v Speaker 1>cents on the dollar. So you're getting into a marketplace

0:39:49.080 --> 0:39:52.160
<v Speaker 1>that is going to have incredible volatility, I would say

0:39:52.160 --> 0:39:53.600
<v Speaker 1>over the next five to ten years.

0:39:53.960 --> 0:39:56.839
<v Speaker 6>So I mean, yeah, I do agree that there are

0:39:57.040 --> 0:40:00.680
<v Speaker 6>some segments of commercial real estate that are going to

0:40:00.719 --> 0:40:04.040
<v Speaker 6>be very volatile, and there's they're definitely if you're looking

0:40:04.080 --> 0:40:08.280
<v Speaker 6>at New York, you're looking at It's San Francisco, those places.

0:40:08.280 --> 0:40:11.799
<v Speaker 6>When you're looking at commercial real estate, office buildings, they're

0:40:11.960 --> 0:40:15.040
<v Speaker 6>they're really in a tough spot. I think the biggest

0:40:15.080 --> 0:40:17.160
<v Speaker 6>thing that they have right now is the financing right

0:40:17.840 --> 0:40:21.719
<v Speaker 6>the sponsors themselves trying to find the ability to refinance

0:40:21.760 --> 0:40:24.200
<v Speaker 6>those deals. It's going to be really challenging.

0:40:23.880 --> 0:40:25.160
<v Speaker 3>But not a lot of volatility.

0:40:25.480 --> 0:40:29.000
<v Speaker 2>If you're looking in like the Columbus, Ohio metropolitan area

0:40:29.040 --> 0:40:32.520
<v Speaker 2>of course, looking at student housing, looking at medical offices,

0:40:32.600 --> 0:40:35.319
<v Speaker 2>looking at movie theaters, multi families Okay.

0:40:35.640 --> 0:40:38.560
<v Speaker 6>Yeah, multi family is having like some real success though

0:40:38.600 --> 0:40:39.160
<v Speaker 6>too as well.

0:40:39.280 --> 0:40:41.400
<v Speaker 1>Yeah, exactly who do you compete against?

0:40:42.000 --> 0:40:45.600
<v Speaker 6>There aren't any There aren't many direct competitors. You know,

0:40:45.880 --> 0:40:51.200
<v Speaker 6>Nasdaq has a private funds division that they are they're successful,

0:40:51.239 --> 0:40:53.480
<v Speaker 6>but we don't compete head to head right now. The

0:40:53.480 --> 0:40:55.839
<v Speaker 6>things that they do we don't, and most of the

0:40:55.840 --> 0:41:00.000
<v Speaker 6>things that we do they don't. So there's so there's

0:40:59.840 --> 0:41:02.520
<v Speaker 6>it's just now people starting to move into this space.

0:41:02.560 --> 0:41:04.560
<v Speaker 6>So it's a great opportunity right to be kind of

0:41:04.560 --> 0:41:05.440
<v Speaker 6>the first to do it.

0:41:05.680 --> 0:41:08.719
<v Speaker 1>Now, do you put up capital to facilitate facilitate these

0:41:08.760 --> 0:41:10.880
<v Speaker 1>trades or you just simply a broker.

0:41:10.960 --> 0:41:14.960
<v Speaker 6>We're agentcy, we're agency. Yeah, so we're not buyers, we're

0:41:15.040 --> 0:41:16.120
<v Speaker 6>sellers of the asset.

0:41:16.120 --> 0:41:18.520
<v Speaker 1>We're matching and get an average transaction sise for you

0:41:18.640 --> 0:41:19.600
<v Speaker 1>on average.

0:41:19.760 --> 0:41:23.520
<v Speaker 6>Let's say one hundred to five hundred thousand dollars. It's

0:41:23.560 --> 0:41:27.600
<v Speaker 6>probably the average. And the more private it gets, the

0:41:27.680 --> 0:41:29.920
<v Speaker 6>larger the size of the transaction.

0:41:30.200 --> 0:41:32.800
<v Speaker 1>And how many trades do you do a day or

0:41:32.840 --> 0:41:33.480
<v Speaker 1>something like that.

0:41:34.239 --> 0:41:36.640
<v Speaker 6>It varies because it's an ill liquid market. It varies.

0:41:36.920 --> 0:41:39.200
<v Speaker 6>You could have a couple a day or you could have,

0:41:39.560 --> 0:41:40.680
<v Speaker 6>you know, twenty a day.

0:41:41.239 --> 0:41:43.080
<v Speaker 1>But it's how long does it take you to kind

0:41:43.080 --> 0:41:45.640
<v Speaker 1>of execute a trade? I mean, it's not like me

0:41:45.760 --> 0:41:48.040
<v Speaker 1>back at Paineweber pushing my button for Alliance and I'm

0:41:48.080 --> 0:41:50.080
<v Speaker 1>dumping my four and one thousand shares of you know,

0:41:50.200 --> 0:41:51.560
<v Speaker 1>XYZ stock to Alliance.

0:41:52.040 --> 0:41:52.279
<v Speaker 11>Yeah.

0:41:52.320 --> 0:41:55.799
<v Speaker 6>So it's actually we do We've set our marketplace up

0:41:55.840 --> 0:41:57.239
<v Speaker 6>in a very traditional way.

0:41:57.400 --> 0:41:59.960
<v Speaker 1>All Right, thanks so much for you're listening to the

0:42:00.600 --> 0:42:01.720
<v Speaker 1>Cat's Are Live program.

0:42:01.760 --> 0:42:05.720
<v Speaker 8>Bloomberg Markets weekdays at ten am Eastern on Bloomberg Radio,

0:42:05.880 --> 0:42:08.040
<v Speaker 8>the tune in app, Bloomberg dot Com.

0:42:07.800 --> 0:42:09.239
<v Speaker 11>And the Bloomberg Business app.

0:42:09.280 --> 0:42:12.080
<v Speaker 8>You can also listen live on Amazon Alexa from our

0:42:12.120 --> 0:42:17.160
<v Speaker 8>flagship New York station, Just say Alexa play Bloomberg eleven thirty.

0:42:18.120 --> 0:42:20.359
<v Speaker 1>We're talking a lot about AI and for a good reason.

0:42:20.360 --> 0:42:22.399
<v Speaker 1>We've got as we have just heard from Elon Musk.

0:42:22.440 --> 0:42:25.440
<v Speaker 1>Elon Musk and a lot of other tech leaders CEO

0:42:25.560 --> 0:42:28.440
<v Speaker 1>types down in Washington, d C. Meeting with a select

0:42:28.440 --> 0:42:32.360
<v Speaker 1>group of senators talking about AI. Kind of an education process,

0:42:32.440 --> 0:42:36.280
<v Speaker 1>if you will. So you know, AI in the overnight

0:42:36.440 --> 0:42:40.000
<v Speaker 1>has become the front and center for global Wall Street

0:42:40.040 --> 0:42:42.760
<v Speaker 1>and global regulators as well, and we want to continue

0:42:42.760 --> 0:42:45.880
<v Speaker 1>that conversation today with Ashley Still, Senior vice president and

0:42:45.960 --> 0:42:50.680
<v Speaker 1>general manager for Creative Cloud and document Cloud at Adobe. Ashley,

0:42:50.680 --> 0:42:53.120
<v Speaker 1>thanks so much for joining us here. Again, a lot

0:42:53.160 --> 0:42:56.759
<v Speaker 1>of attention on AI now today down to Washington, d C.

0:42:56.920 --> 0:42:59.839
<v Speaker 1>Some of the regulators trying and some of the politicians

0:42:59.840 --> 0:43:01.520
<v Speaker 1>and are trying to get a little bit educated by

0:43:01.520 --> 0:43:04.640
<v Speaker 1>some of the tech leaders. How do you folks at

0:43:04.680 --> 0:43:08.360
<v Speaker 1>Adobe approach AI in your business.

0:43:09.800 --> 0:43:12.040
<v Speaker 14>Well, first, Paul, thank you so much for having me.

0:43:12.280 --> 0:43:13.680
<v Speaker 14>It's great to be with you today.

0:43:14.800 --> 0:43:15.440
<v Speaker 3>And as you.

0:43:15.400 --> 0:43:21.680
<v Speaker 14>Said, AI just has huge power to enable many things.

0:43:21.960 --> 0:43:25.520
<v Speaker 14>At Adobe, what we're really focused on is how AI

0:43:25.680 --> 0:43:30.760
<v Speaker 14>can accelerate creativity. We believe every human is creative, everybody

0:43:30.760 --> 0:43:36.400
<v Speaker 14>has a story to tell, and we're using AI to

0:43:36.560 --> 0:43:41.120
<v Speaker 14>enable anyone to create content and to share their story.

0:43:41.520 --> 0:43:43.840
<v Speaker 14>The way that we do that is through Adobe Firefly,

0:43:44.000 --> 0:43:48.319
<v Speaker 14>which is our family of creative, generative AI models, and

0:43:48.360 --> 0:43:52.040
<v Speaker 14>we are announced today that Firefly is now generally available

0:43:52.360 --> 0:43:56.440
<v Speaker 14>after very successful beta. It's available both as a standalone

0:43:56.480 --> 0:43:59.480
<v Speaker 14>web application, so anyone that has access to a browser

0:44:00.040 --> 0:44:03.440
<v Speaker 14>and can type into simple text prompt can create content.

0:44:03.920 --> 0:44:07.279
<v Speaker 14>But it's also now built into the fabric of our

0:44:07.360 --> 0:44:11.680
<v Speaker 14>incredibly powerful creative tools like Photoshop and Illustrator, so that

0:44:12.160 --> 0:44:18.040
<v Speaker 14>professional creators and designers can use AI to add expressiveness

0:44:18.160 --> 0:44:21.279
<v Speaker 14>and bring their ideas to life in even richer ways.

0:44:21.719 --> 0:44:25.800
<v Speaker 1>And actually, one of the concerns, early concerns of AI

0:44:25.840 --> 0:44:28.040
<v Speaker 1>and its applications, we're seeing a play out in Hollywood

0:44:28.080 --> 0:44:31.640
<v Speaker 1>a little bit. A lot of the writers are concerned

0:44:31.719 --> 0:44:33.520
<v Speaker 1>about AI. They're concerned about a number of things, but

0:44:33.560 --> 0:44:36.280
<v Speaker 1>one of them is AI. How do you think about

0:44:36.320 --> 0:44:41.640
<v Speaker 1>just how the protections around the content that can be

0:44:41.760 --> 0:44:44.720
<v Speaker 1>created through AI, how do you expect that to evolve?

0:44:44.760 --> 0:44:47.759
<v Speaker 1>Does Adobe have a point of view on that?

0:44:49.280 --> 0:44:49.880
<v Speaker 3>Absolutely?

0:44:50.400 --> 0:44:54.720
<v Speaker 14>So, first, we've been really thoughtful about how we even

0:44:55.160 --> 0:44:58.440
<v Speaker 14>train our models, and they're different approaches out there with

0:44:58.520 --> 0:45:02.120
<v Speaker 14>different AI services. The approach that we take is we

0:45:02.280 --> 0:45:05.560
<v Speaker 14>only train our models on content that we have licensed

0:45:05.640 --> 0:45:09.960
<v Speaker 14>to as well as content that has an open license

0:45:10.120 --> 0:45:13.560
<v Speaker 14>on the Internet. And this is different than going out

0:45:13.600 --> 0:45:17.080
<v Speaker 14>and kind of scraping the Internet, which has a lot

0:45:17.120 --> 0:45:22.799
<v Speaker 14>of implications for artists rights and their protections.

0:45:22.920 --> 0:45:23.120
<v Speaker 7>Right.

0:45:23.160 --> 0:45:27.640
<v Speaker 14>So, obviously Adobe, we are very passionate about our role

0:45:28.000 --> 0:45:32.200
<v Speaker 14>in advancing creativity and being a part of the creative community,

0:45:32.719 --> 0:45:36.280
<v Speaker 14>and it really starts with how we're going about training

0:45:36.920 --> 0:45:41.920
<v Speaker 14>our models. It doesn't stop there. We build those protections

0:45:41.960 --> 0:45:47.160
<v Speaker 14>into our services, right So, for example, artist's style is

0:45:47.160 --> 0:45:51.240
<v Speaker 14>something that is very concerning right now to the creative community,

0:45:51.280 --> 0:45:56.960
<v Speaker 14>and you reference Hollywood. People spend you know, a decade

0:45:57.080 --> 0:46:01.040
<v Speaker 14>or more developing their style, whether they're in, whether they're

0:46:01.040 --> 0:46:05.520
<v Speaker 14>an advertising, whatever it might be, and there's real concern

0:46:05.640 --> 0:46:10.040
<v Speaker 14>about AI's ability to transfer that style instantaneously.

0:46:11.000 --> 0:46:11.920
<v Speaker 3>We build that.

0:46:11.880 --> 0:46:16.560
<v Speaker 14>Protection into our products and we also are supporting regulation

0:46:17.400 --> 0:46:19.200
<v Speaker 14>to protect artist style as well.

0:46:19.600 --> 0:46:22.960
<v Speaker 1>So what at Adobe and Firefly give us us some

0:46:23.040 --> 0:46:27.080
<v Speaker 1>examples of kind of how your technology is used, maybe

0:46:27.080 --> 0:46:28.879
<v Speaker 1>who uses and what and what do they use it for?

0:46:30.640 --> 0:46:35.360
<v Speaker 14>So we are building Firefly across our family of applications

0:46:35.560 --> 0:46:40.800
<v Speaker 14>and our mission, Adobe's Creativity for all. We have applications

0:46:40.920 --> 0:46:45.520
<v Speaker 14>that anyone can use. Again I referenced Firefly dot Adobe

0:46:45.560 --> 0:46:48.799
<v Speaker 14>dot com. That's a new web application that is a

0:46:48.840 --> 0:46:53.480
<v Speaker 14>playground for anyone that wants to explore creative expression using AI.

0:46:54.120 --> 0:46:56.840
<v Speaker 14>All you need is a browser and the ability to

0:46:57.520 --> 0:47:00.319
<v Speaker 14>write simple text prompts and you can create images, you

0:47:00.360 --> 0:47:04.839
<v Speaker 14>can create text effects and really anyone can use that.

0:47:05.800 --> 0:47:10.120
<v Speaker 14>But we also have Adobe Express, which is an all

0:47:10.200 --> 0:47:15.800
<v Speaker 14>in one creativity application where you can create text image

0:47:15.840 --> 0:47:21.240
<v Speaker 14>as well as text effects, create posters, flyers, social media posts. Again,

0:47:21.320 --> 0:47:26.799
<v Speaker 14>so people that want to generate content easily can use

0:47:26.840 --> 0:47:30.840
<v Speaker 14>Adobe Express. And as I mentioned before, we are really

0:47:30.920 --> 0:47:36.200
<v Speaker 14>deeply building AI into our professional workflows across Photoshop, Illustrator

0:47:36.719 --> 0:47:40.600
<v Speaker 14>and more applications will be coming soon. What this does

0:47:40.719 --> 0:47:45.120
<v Speaker 14>for our creative professional community is increase the value of

0:47:45.160 --> 0:47:48.759
<v Speaker 14>our applications that enables them to idate faster and be

0:47:48.920 --> 0:47:49.680
<v Speaker 14>more productive.

0:47:50.360 --> 0:47:53.360
<v Speaker 1>And who's a typical user of your products? Is it?

0:47:53.440 --> 0:47:55.799
<v Speaker 1>I mean, like, how much of your customers are they

0:47:56.320 --> 0:47:59.200
<v Speaker 1>individuals versus corporate that kind of thing. Who's a typical

0:47:59.280 --> 0:48:00.880
<v Speaker 1>user and who do you think I think that'll evolve?

0:48:01.840 --> 0:48:08.480
<v Speaker 14>It ranges right, we have we're in We're very fortunate

0:48:08.600 --> 0:48:12.920
<v Speaker 14>that we have an incredibly broad customer base, whether it's students,

0:48:13.360 --> 0:48:18.320
<v Speaker 14>our products are used in K twelve schools, of course,

0:48:18.520 --> 0:48:22.839
<v Speaker 14>creative professionals and creative professionals they often work for themselves

0:48:23.040 --> 0:48:26.160
<v Speaker 14>or they can work for the largest companies in the world.

0:48:27.239 --> 0:48:31.120
<v Speaker 14>And what we're really seeing across the board is whether

0:48:31.160 --> 0:48:34.920
<v Speaker 14>you're a consumer or whether you're a professional, the demand

0:48:35.120 --> 0:48:40.000
<v Speaker 14>to create content to tell your story is continuing to

0:48:40.120 --> 0:48:44.799
<v Speaker 14>explode businesses. Every business is a digital business, and they

0:48:44.840 --> 0:48:50.000
<v Speaker 14>need content to power how they're engaging with customers across channels,

0:48:50.040 --> 0:48:54.040
<v Speaker 14>whether it's TikTok or YouTube or their own website. And

0:48:54.080 --> 0:48:56.759
<v Speaker 14>certainly from a consumer standpoint, I mean, I just look

0:48:56.800 --> 0:48:59.640
<v Speaker 14>at my own kids. They create content all the time,

0:48:59.800 --> 0:49:03.320
<v Speaker 14>and it's to make people laugh, it's to express an idea,

0:49:03.760 --> 0:49:06.239
<v Speaker 14>whether it's with friends or at school. And so we

0:49:06.280 --> 0:49:10.720
<v Speaker 14>serve all of those needs. And what's incredibly exciting about

0:49:10.760 --> 0:49:15.080
<v Speaker 14>Firefly and AI, it's enabling us to serve all of

0:49:15.120 --> 0:49:18.480
<v Speaker 14>those needs in unique and new ways, and so it

0:49:18.600 --> 0:49:21.960
<v Speaker 14>really expands the tent of who can create.

0:49:22.880 --> 0:49:25.560
<v Speaker 1>So what's the next step do you think, what's the

0:49:25.600 --> 0:49:28.080
<v Speaker 1>next new thing? You guys are working on an Adobe

0:49:28.120 --> 0:49:28.959
<v Speaker 1>as it relates to AI.

0:49:30.680 --> 0:49:35.320
<v Speaker 14>Absolutely, so we continue to advance our core models and

0:49:36.280 --> 0:49:39.520
<v Speaker 14>you know, it's still early days right in the era

0:49:39.600 --> 0:49:43.759
<v Speaker 14>of generative AI, and so the quality, the breadth, and

0:49:43.840 --> 0:49:47.960
<v Speaker 14>the depth of those models continues to evolve, and that

0:49:48.080 --> 0:49:51.680
<v Speaker 14>just gives us the ability to bring rich capabilities across

0:49:51.719 --> 0:49:56.080
<v Speaker 14>all of our applications. We also are working on new

0:49:56.120 --> 0:50:01.200
<v Speaker 14>media right, so we're we're doing great search in video

0:50:01.480 --> 0:50:04.920
<v Speaker 14>and three D and how again, we bring the power

0:50:04.960 --> 0:50:08.120
<v Speaker 14>of AI to all of the types of media that

0:50:08.440 --> 0:50:13.560
<v Speaker 14>people create through our applications. So stay tuned for more

0:50:13.600 --> 0:50:14.359
<v Speaker 14>on those all.

0:50:14.360 --> 0:50:16.080
<v Speaker 1>Right, Ashley, thank you so much for joining us. Really

0:50:16.080 --> 0:50:20.120
<v Speaker 1>appreciate it. Fascinating stuff ever changing, that's for sure, Ashley

0:50:20.160 --> 0:50:23.480
<v Speaker 1>Still she's a senior vice president and general manager at

0:50:23.640 --> 0:50:26.960
<v Speaker 1>the creative cloud and document cloud business over there at

0:50:27.040 --> 0:50:30.319
<v Speaker 1>our good friends at Adobe. So interesting stuff there and

0:50:30.360 --> 0:50:33.000
<v Speaker 1>again AI kind of hitting pretty much every part of

0:50:33.040 --> 0:50:34.680
<v Speaker 1>the economy, it seems like when you listen to some

0:50:34.719 --> 0:50:37.560
<v Speaker 1>of the use cases, but certainly when it comes to

0:50:37.640 --> 0:50:41.879
<v Speaker 1>content creation, that's where the opportunities are and that's where

0:50:41.920 --> 0:50:44.200
<v Speaker 1>for a lot of people the potential risk are. And

0:50:44.239 --> 0:50:47.840
<v Speaker 1>we're seeing that again play out with the Hollywood writers.

0:50:48.040 --> 0:50:49.719
<v Speaker 1>One of the things we're looking at is maybe some

0:50:49.800 --> 0:50:55.080
<v Speaker 1>protections from AI impacting their business and getting credit for

0:50:55.280 --> 0:50:59.640
<v Speaker 1>what they actually create. So keep an eye on that.

0:51:00.080 --> 0:51:03.120
<v Speaker 2>Thanks for listening to the Bloomberg Markets podcast. You can

0:51:03.160 --> 0:51:06.920
<v Speaker 2>subscribe and listen to interviews at Apple Podcasts or whatever

0:51:07.040 --> 0:51:10.760
<v Speaker 2>podcast platform you prefer. I'm Matt Miller. I'm on Twitter

0:51:10.960 --> 0:51:12.879
<v Speaker 2>at Matt Miller nineteen seventy three.

0:51:13.320 --> 0:51:15.680
<v Speaker 1>And I'm Faul Sweeney. I'm on Twitter at pt Sweeney.

0:51:15.840 --> 0:51:18.480
<v Speaker 1>Before the podcast, you can always catch us worldwide at

0:51:18.520 --> 0:51:20.280
<v Speaker 1>Bloomberg Radio.