WEBVTT - Catastrophe in the Name: ETF, Trades, AI

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>Should I give a really quick bird update? Oh yeah,

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<v Speaker 2>Well we put out the cliff Astness episode, which was

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<v Speaker 2>very well received, but we did get a few comments

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<v Speaker 2>about where they're not being a bird update really quick birds. Yeah,

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<v Speaker 2>the birds doing really well, flying really well. We need

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<v Speaker 2>to work on perching. So he's in a big.

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<v Speaker 1>Room's interesting is regressed on perching?

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<v Speaker 2>Well, the thing is, it's hard. He's very comfortable perching

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<v Speaker 2>on people. He's very comfortable perching on his cage. I

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<v Speaker 2>put in an old cat tree that I had at

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<v Speaker 2>my parents' house in the room where he is. He

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<v Speaker 2>refuses to perch on it. And so if you open, yeah,

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<v Speaker 2>you probably wouldn't purchase the catch. Yeah maybe, I mean

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<v Speaker 2>my cat hasn't touched it in several years, so I

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<v Speaker 2>thought maybe the cats I'll never never. I think I

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<v Speaker 2>need to get.

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<v Speaker 1>Like you owner ever and terror I can tell you

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<v Speaker 1>the cat.

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<v Speaker 2>I think I need to get him like an indoor

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<v Speaker 2>potted tree or something, because if you open the cage

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<v Speaker 2>and then run to the other side of the room,

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<v Speaker 2>he will fly directly to you. He will not land

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<v Speaker 2>on anything other than his cage and humans. So we

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<v Speaker 2>need to work on that. Also. We're calling it a

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<v Speaker 2>heat but it could be a lady bird.

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<v Speaker 1>Is this whole project still in the service of like

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<v Speaker 1>one day releasing or herd into the wild, or is

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<v Speaker 1>it more just like I think, be nice if he

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<v Speaker 1>wasn't clinging to your shoulder all the time.

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<v Speaker 2>I think given that it's so attached to humans, it

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<v Speaker 2>would be very hard to release this bird right now.

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<v Speaker 2>It won't perch. I mean, we'll see when we get

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<v Speaker 2>in a tree if it'll perch on the tree.

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<v Speaker 1>I guess I'll stop asking that question. I guess that's

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<v Speaker 1>just your bird now.

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<v Speaker 2>Yeah, and its name is bird.

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<v Speaker 1>Hello, and welcome to The Money Stuff Podcast. You're a

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<v Speaker 1>weekly podcast where we talk about stuff related to money.

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<v Speaker 1>I'm Matt Levie and I write The Money Stuff Calm

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<v Speaker 1>for Blue Our Opinion, and.

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<v Speaker 2>I'm Katie Greifeld, a reporter for Bloomberg News and an

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<v Speaker 2>anchor for Bloomberg Television.

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<v Speaker 1>Katie, I came to you this week and I was like,

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<v Speaker 1>I want to talk about ETFs, which sounded really sounds great.

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<v Speaker 1>And I was like, I want to talk about autocollable

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<v Speaker 1>ets and You're like, Nah.

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<v Speaker 2>You know that's the thing. It really feels like a

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<v Speaker 2>monkey's paw situation or something. I should be psyched.

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<v Speaker 1>The thing this is the thing. The thing about ETFs

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<v Speaker 1>is that eventually all of financial products and ultimately all

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<v Speaker 1>of human existence will be sucked into an ETF. And

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<v Speaker 1>like you have to be able to roll with all

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<v Speaker 1>of the possible forms of ETF.

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<v Speaker 2>I you know, I'm like super comfortable with the idea

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<v Speaker 2>that you know, there's structured products in ETFs. Yeah, I

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<v Speaker 2>know what for ETF is. The concept of an autocollable

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<v Speaker 2>ETF is a little bit of a tougher too. But

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<v Speaker 2>the first one launched this past week. Yeah, Calamus Kalamos

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<v Speaker 2>with JP Morgan is the swap counterparty.

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<v Speaker 1>Yeah.

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<v Speaker 2>So you did a breakdown in your Money Soff column

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<v Speaker 2>about how's theoretic this would work. You provided an example.

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<v Speaker 2>Some don't quite get it, okay.

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<v Speaker 1>So, like, if you're a JP market, you're in the

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<v Speaker 1>business like manufacturing products that clients want to buy. One

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<v Speaker 1>thing that clients come to with a lot is we

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<v Speaker 1>would like to hedge our stock market risk. It would

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<v Speaker 1>be nice if when the market crashed we could get

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<v Speaker 1>some insurance. And so there's a big business in manufacturing

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<v Speaker 1>insurance against market crushes because like fundamentally most people, most

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<v Speaker 1>investors are long equities and they want to have insurance.

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<v Speaker 1>Someone want to have insurance against the market crush, and

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<v Speaker 1>how do you manufacture that insurance because no one's to

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<v Speaker 1>sell that insurance, right, Like who wants to be in

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<v Speaker 1>the business of saying if the market crashes, I'll give

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<v Speaker 1>you money, Like it's a terrible wrong way situation to

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<v Speaker 1>be in. And so a lot of like the world

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<v Speaker 1>of like equity to rotistrating is figuring out how to

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<v Speaker 1>manufacture that sort of market risk insurance crash insurance. And

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<v Speaker 1>there are ways to do it, like the dispersion trade

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<v Speaker 1>and hedgephones is like a gibeis are closing. It's all

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<v Speaker 1>a complicated way to take single stock ball and turn

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<v Speaker 1>it into index vall so that you can sell people

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<v Speaker 1>insurance against market crashes. But like a classic way to

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<v Speaker 1>do it is to say, we're going to have retail

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<v Speaker 1>investors sell us insurance against market crashes. And the way

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<v Speaker 1>retail investors sell insurance is essentially they buy bonds and

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<v Speaker 1>the bonds, you know, they put it in one hundred dollars,

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<v Speaker 1>they get back one hundred dollars plus like a very

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<v Speaker 1>high rate of interest, except if the market crashes, they

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<v Speaker 1>get back like nothing or they lose money. Right, so

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<v Speaker 1>the thing they buy is sort of a catastrophe bond

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<v Speaker 1>for market crash, Like if the market crashes, they don't

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<v Speaker 1>get back all their money, and the money they don't

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<v Speaker 1>get back gets used to pay someone else's insurance. One

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<v Speaker 1>of the main like the classic form of that is

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<v Speaker 1>called an auto callable. It's just like the name of it,

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<v Speaker 1>but it's basically you put in money. If the market

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<v Speaker 1>stays flat or up or even goes down a little bit,

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<v Speaker 1>you get back like one hundred and fifteen cents on

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<v Speaker 1>a dollar in a year. And if the market goes

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<v Speaker 1>down a lot, you know, you lose the amount of

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<v Speaker 1>the market crash and you know, and JP Morgan sells

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<v Speaker 1>that to you gives them index volatility that they can

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<v Speaker 1>turn around and sell to you know, institutional clients who

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<v Speaker 1>want a hedgeance market crash. So that is the autocoll.

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<v Speaker 1>It is a classic structured note structuring product that like

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<v Speaker 1>banks love to sell to you know, retailer high night

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<v Speaker 1>Worth investors. And now it's going into an ETF, which

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<v Speaker 1>was inevitable.

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<v Speaker 2>I mean buffers have been so popular.

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<v Speaker 1>Yeah, I think actually the press release for this ETF

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<v Speaker 1>said something like, this is the latest play for a

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<v Speaker 1>boomer candy pretty just like just the name of these

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<v Speaker 1>kinds of ETFs. Now. Yeah, And it's like a little

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<v Speaker 1>bit similar to a buffer in that it's like a

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<v Speaker 1>fixed income replacement that like maybe has a little little extra.

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<v Speaker 2>Juice but even still on. And you know, I'm prepared

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<v Speaker 2>to be proven wrong, but I feel like this is

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<v Speaker 2>a tougher sell like buffers, I.

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<v Speaker 1>Should say, it's different from a buffer. And then a

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<v Speaker 1>buffer is buffered, and this is like, yeah, in a crash,

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<v Speaker 1>you lose your money.

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<v Speaker 2>Yeah, a buffer is okay, you're giving up upside, but

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<v Speaker 2>you're going to be cushioned buffered on the downside.

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<v Speaker 1>That it was like you're getting a nice coupon, yeah,

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<v Speaker 1>except in bad states of the world, in which case

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<v Speaker 1>you there's a lot of money. Yeah.

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<v Speaker 2>So I don't know, I mean, who is this for?

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<v Speaker 2>Like I hear them, I love them, I know, I know,

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<v Speaker 2>I just wonder, like.

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<v Speaker 1>Obviously, like you know, I sold the agent high net

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<v Speaker 1>worth investors. And there's a story a while back that

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<v Speaker 1>I remember I quoted about Korean autocollables or some brokers

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<v Speaker 1>as something like no one's ever only bought one. Once

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<v Speaker 1>you buy them, you keep coming back from more because

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<v Speaker 1>they're so great, love them so much, and it's like,

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<v Speaker 1>you know, you think of the profile of it for

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<v Speaker 1>a second and you're like, yeah, of course that's true.

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<v Speaker 2>Right.

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<v Speaker 1>You keep buying them because you get paid a fifteen

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<v Speaker 1>percent yield. You keep buying them until there's one crash

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<v Speaker 1>and then you stop. Right, yeah, maybe, yeah, but right,

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<v Speaker 1>it pays a fifteen percent yield and most of the

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<v Speaker 1>market crash of the crashes.

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<v Speaker 2>Yeah, So Kala Mos is first out the gate. I

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<v Speaker 2>think you have. Innovator and First Trust have also filed

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<v Speaker 2>for similar products. It's interesting that JP Morgan hasn't JP

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<v Speaker 2>Morgan sort of pioneered this category in the ETF space,

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<v Speaker 2>this derivatives power to find outcome space. They have Jeppy,

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<v Speaker 2>which is a household name in my household. Maybe not

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<v Speaker 2>in years, but then you know, there were a bunch

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<v Speaker 2>of Jeffy copycats, and you've also seen buffers rise up

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<v Speaker 2>in the last few years. But I don't know, it's

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<v Speaker 2>somewhat interesting to me that you know, it's not JP.

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<v Speaker 1>Morgan that's well, JP Morgan is the swap count of party. Yeah,

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<v Speaker 1>which means that their vall that is being bought. They're

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<v Speaker 1>buying the vall from the retail customers to sell to

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<v Speaker 1>their institutional customers.

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<v Speaker 2>Yeah. Yeah, but they're not the ones headlining the CTF necessarily.

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<v Speaker 1>Yeah right. I never fully understood the structured nets business.

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<v Speaker 1>But like part of it is like the retail and

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<v Speaker 1>high not worth like private wealth bankers are sitting around saying,

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<v Speaker 1>like what can we sell to our customers to make money?

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<v Speaker 1>And then part of it is like the institutional vault

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<v Speaker 1>traders are sitting around thinking where can we get some

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<v Speaker 1>voll and like there's a meeting of the minds. So

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<v Speaker 1>here like the you know, the JP Morgan valltraders are happy,

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<v Speaker 1>even if they're not like making the DF fee. I mean,

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<v Speaker 1>they're making some sort of fee on your point about

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<v Speaker 1>who's this is four? Yeah, I read about this this

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<v Speaker 1>week and it reader emailed me, so remind me of

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<v Speaker 1>there's a catastrophe bond etf.

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<v Speaker 2>Yes, I love IOLs is the taker iOS and launched

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<v Speaker 2>without a lead market maker.

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<v Speaker 1>Yeah, and there's like a Bloomer article about it from

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<v Speaker 1>April saying the securities can be a hard cell for

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<v Speaker 1>retail investors who have never before had to price the

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<v Speaker 1>risk of a typhoon or earthquake. Ei way, they're not

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<v Speaker 1>pricing it now, they're a price taker. But anyway, they

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<v Speaker 1>quote someone saying the asset class does itself no favors

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<v Speaker 1>by having catastrophe in the name. At least it's clear though.

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<v Speaker 1>At least you kind of know like the basic contours

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<v Speaker 1>of what you're doing when it's this catastrophe in the name. Here,

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<v Speaker 1>it's called an auto callable, which is like tells you nothing,

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<v Speaker 1>and you know it's a big like headline, Yeah, this

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<v Speaker 1>is how much yell do you? And you're like, oh,

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<v Speaker 1>y old to create it. Then you're like, oh, I

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<v Speaker 1>can lose all my money. Yeah. Also, it's like if

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<v Speaker 1>you're into this sort of thing, which I know you're not. No,

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<v Speaker 1>you're into the sort of thing. It's really cool because

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<v Speaker 1>it's like the structure of it is basically you know,

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<v Speaker 1>it's an autocol, so there's like knock in and knockouts

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<v Speaker 1>and stuff. Basically, if the index is down forty percent

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<v Speaker 1>is when you start to lose money. Like instead of

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<v Speaker 1>getting a nice coupon.

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<v Speaker 2>It's like very rarely happens.

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<v Speaker 1>Okay, you say that. Yeah, the reason you say that

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<v Speaker 1>is because you and I and probably mostly who'll buying

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<v Speaker 1>it have an intuition of what the index is. But

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<v Speaker 1>the index that they use is not the S and P.

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<v Speaker 1>The index that they use is a like volatility targeted

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<v Speaker 1>S and P. Oh, So basically they like lever the

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<v Speaker 1>S and P to get you to a thirty five

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<v Speaker 1>percent volatility. Okay, essually in the ballpark of two x

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<v Speaker 1>leverard a little more than two x LeVert So a

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<v Speaker 1>twenty percent drop in the S ANDP is not that

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<v Speaker 1>common either. But it's like it's yeah, and like you

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<v Speaker 1>see forty percent, like forty percent that never happens, but

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<v Speaker 1>like the innex reps like twenty ish percent, you lose

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<v Speaker 1>forty percent of your money. So it's like the structure

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<v Speaker 1>is not like a lot of structure notes. It's like

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<v Speaker 1>you can tell the story and I supposed you know,

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<v Speaker 1>you're like if the market is down twenty percent, you

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<v Speaker 1>lose twenty percent. It's like very easy to understand here.

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<v Speaker 1>It's like you get this nice yield and sometimes you don't.

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<v Speaker 1>And it's not like when the market is down twenty percent,

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<v Speaker 1>it's like, yeah, like it it's like math and like

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<v Speaker 1>sometimes you don't. Yeah, so it's an intuitive product for

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<v Speaker 1>retail investors.

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<v Speaker 2>Yeah, I'm interested to see if. I mean, just given

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<v Speaker 2>how popular these types of ETFs would be if we

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<v Speaker 2>were recording this in twenty nineteen, which we wouldn't, but

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<v Speaker 2>I'd beel like, oh, who's going to buy this? But

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<v Speaker 2>I don't know what could happen. It could see some uptick,

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<v Speaker 2>but I really get it, So we'll see. Like, if

0:10:46.800 --> 0:10:49.480
<v Speaker 2>you can't explain it in an elevator ride.

0:10:49.240 --> 0:10:51.160
<v Speaker 1>You can explain it. It plays a high yield except

0:10:51.160 --> 0:10:52.000
<v Speaker 1>when the market crashes.

0:10:52.200 --> 0:10:54.080
<v Speaker 2>Except when the market crashes. Yeah, but it's you know,

0:10:54.120 --> 0:10:56.080
<v Speaker 2>if the index is about.

0:10:55.800 --> 0:10:58.480
<v Speaker 1>This level, if it's paying numbers, it's hard to explain.

0:10:58.559 --> 0:11:01.280
<v Speaker 1>But well, yeah, a lot of stuff. It's not like

0:11:01.559 --> 0:11:04.360
<v Speaker 1>floors and caps and everything. It's just like phase fifteen percent,

0:11:04.400 --> 0:11:08.440
<v Speaker 1>except when the market's down more than this x percent.

0:11:09.800 --> 0:11:12.840
<v Speaker 2>Something else that was wondering. You know, this has typically

0:11:12.880 --> 0:11:15.800
<v Speaker 2>been the domain of you know, high net worth individuals

0:11:16.200 --> 0:11:18.680
<v Speaker 2>who was making less money as a result of this

0:11:18.760 --> 0:11:22.400
<v Speaker 2>being put in the ETF wrapper, Like does JP Morgan

0:11:22.480 --> 0:11:27.320
<v Speaker 2>care if they're selling these two calamos versus selling this

0:11:27.400 --> 0:11:28.400
<v Speaker 2>in some other structure.

0:11:29.320 --> 0:11:31.680
<v Speaker 1>I always used to have the impression that structured notes

0:11:31.720 --> 0:11:34.200
<v Speaker 1>had very juicy fees. Yeah, but I actually I think

0:11:34.200 --> 0:11:36.959
<v Speaker 1>it's like kind of a competitive business that's not that juicy.

0:11:37.240 --> 0:11:40.679
<v Speaker 2>Yeah, well this ETF charges like seventy four basis points.

0:11:41.440 --> 0:11:43.240
<v Speaker 1>Yeah, but like with anything like this, like there's a

0:11:43.280 --> 0:11:46.600
<v Speaker 1>lot of mouths to feed, and like, yeah, they're doing

0:11:46.640 --> 0:11:49.040
<v Speaker 1>a swap with japing Organ, which is probably a JP

0:11:49.160 --> 0:11:50.959
<v Speaker 1>Morgan expects to make a certain amount of money and

0:11:51.000 --> 0:11:55.520
<v Speaker 1>then swap. I don't know, it's hard to exactly compare

0:11:55.559 --> 0:11:57.200
<v Speaker 1>the pricing of those to a structured note, But I

0:11:57.200 --> 0:12:00.400
<v Speaker 1>don't get the sense that, like I think deserve these

0:12:00.400 --> 0:12:02.280
<v Speaker 1>are a comparable products, right, Like these are sort of

0:12:02.360 --> 0:12:07.040
<v Speaker 1>advisor sold like upper end retail products, and so like

0:12:07.120 --> 0:12:09.480
<v Speaker 1>you know, they're all kind of competitive spaces. But this

0:12:09.600 --> 0:12:14.720
<v Speaker 1>is not like wildly undercutting some super lucrative, uncompetitive business,

0:12:14.840 --> 0:12:16.719
<v Speaker 1>right Like the structured notes is like everyone's kind of

0:12:16.720 --> 0:12:17.240
<v Speaker 1>in on that game.

0:12:17.440 --> 0:12:21.480
<v Speaker 2>Okay, good, you were worried JP Morgan is in losing

0:12:21.520 --> 0:12:37.720
<v Speaker 2>out on anything. Yeah, to move onto the next JP

0:12:37.840 --> 0:12:41.840
<v Speaker 2>Morgan story, I guess the prior credit trading story private

0:12:41.960 --> 0:12:42.760
<v Speaker 2>credit trading.

0:12:42.920 --> 0:12:45.680
<v Speaker 1>It's so good. Yeah, so right. There's a Bloomberg story

0:12:45.679 --> 0:12:47.400
<v Speaker 1>this week by Ellen Schneider and Carmen.

0:12:47.200 --> 0:12:49.680
<v Speaker 2>Araya, A bad how, such a fun read.

0:12:49.800 --> 0:12:52.640
<v Speaker 1>Japi Morgan has stood up this entire private credit trading desk,

0:12:52.679 --> 0:12:56.000
<v Speaker 1>which is so smart, like getting in early on what

0:12:56.160 --> 0:12:59.199
<v Speaker 1>is quite plausibly going to be the next bank line trading,

0:12:59.240 --> 0:13:02.559
<v Speaker 1>like a huge business. But unfortunately they don't do any trade.

0:13:02.679 --> 0:13:04.120
<v Speaker 2>No one wants to trade with them.

0:13:04.240 --> 0:13:05.200
<v Speaker 1>Now you have to start.

0:13:05.520 --> 0:13:07.760
<v Speaker 2>Yeah, yeah, it's.

0:13:07.640 --> 0:13:09.079
<v Speaker 1>Not that no one wants to trade with them. The

0:13:09.520 --> 0:13:12.280
<v Speaker 1>product doesn't trade. Yeah, that's not entirely true. Some of

0:13:12.360 --> 0:13:14.040
<v Speaker 1>it is that no one wants to trade with JP Morgan,

0:13:14.360 --> 0:13:16.560
<v Speaker 1>And like there are some private credit firms trying to

0:13:16.559 --> 0:13:18.839
<v Speaker 1>stand up trading desks, and like maybe it's just the

0:13:18.880 --> 0:13:21.920
<v Speaker 1>competitive dynamic, but I think ninety five percent of it

0:13:21.960 --> 0:13:25.240
<v Speaker 1>is that these loans don't trade and people don't want

0:13:25.240 --> 0:13:30.000
<v Speaker 1>them to trade. Yeah, and so JP Morgan constantly sends

0:13:30.040 --> 0:13:33.640
<v Speaker 1>out runs saying we're looking to buy five million dollar

0:13:33.760 --> 0:13:36.920
<v Speaker 1>chunks of like these forty loans, and here are our bids,

0:13:37.200 --> 0:13:38.400
<v Speaker 1>and everyone's.

0:13:37.920 --> 0:13:41.439
<v Speaker 2>Like thank you, shooting out those runs into the void, and.

0:13:41.400 --> 0:13:43.400
<v Speaker 1>Then they're calling and saying, hey, I just want to

0:13:43.440 --> 0:13:47.040
<v Speaker 1>see if you got my run and I was like, goodbye, God, Yeah,

0:13:47.080 --> 0:13:48.480
<v Speaker 1>it's really bad. It's great.

0:13:48.720 --> 0:13:50.960
<v Speaker 2>The human psychology of that is just brutal, I know,

0:13:51.040 --> 0:13:51.959
<v Speaker 2>but it's what you got to.

0:13:51.920 --> 0:13:54.320
<v Speaker 1>Do, right, And you know that, like the people doing

0:13:54.360 --> 0:13:56.240
<v Speaker 1>that are like, well, this is my shot at like

0:13:57.040 --> 0:14:00.640
<v Speaker 1>being the person who invented a whole new category and

0:14:01.120 --> 0:14:03.120
<v Speaker 1>bringing in, you know, hundreds of millions of dollars of

0:14:03.120 --> 0:14:07.440
<v Speaker 1>revenue and being a superstar. But one, it's not guaranteed

0:14:07.440 --> 0:14:09.280
<v Speaker 1>that will work out. And too, it is guaranteed that

0:14:09.320 --> 0:14:10.800
<v Speaker 1>before it works out, I will spend a lot of

0:14:10.800 --> 0:14:13.440
<v Speaker 1>time could calling people and getting nowhere right.

0:14:13.520 --> 0:14:17.240
<v Speaker 2>Yeah, And I mean as a journalist I sympathize. Yeah, jeez, Louise,

0:14:17.280 --> 0:14:17.840
<v Speaker 2>I hate could.

0:14:18.280 --> 0:14:20.840
<v Speaker 1>As a not very good investment banker in my former life,

0:14:21.280 --> 0:14:24.360
<v Speaker 1>I think about like how long one could have zero

0:14:24.400 --> 0:14:27.000
<v Speaker 1>in one's p and L. Yeah, you know, like they've

0:14:27.040 --> 0:14:29.200
<v Speaker 1>got some run back, right, No one's expecting them to

0:14:29.240 --> 0:14:32.240
<v Speaker 1>do a lot of trade this month. Yeah, at some

0:14:32.280 --> 0:14:33.440
<v Speaker 1>point someone will be like, hey.

0:14:33.320 --> 0:14:38.120
<v Speaker 2>Guys, well there's a few interesting reasons in the article

0:14:38.200 --> 0:14:40.480
<v Speaker 2>that are raised for why JP Morgan is getting shut

0:14:40.480 --> 0:14:43.600
<v Speaker 2>out one is that the private credit firms want big

0:14:43.640 --> 0:14:44.960
<v Speaker 2>banks to stay out of their turf.

0:14:45.040 --> 0:14:47.040
<v Speaker 1>Like, I don't think that's the main reasons presented as

0:14:47.040 --> 0:14:49.200
<v Speaker 1>a reason. That's part of the competitive dynamic of like

0:14:49.240 --> 0:14:51.160
<v Speaker 1>we want to free that bank, and that might be

0:14:51.200 --> 0:14:54.280
<v Speaker 1>part of it. I think the main reasons m hm, Okay,

0:14:54.280 --> 0:14:56.480
<v Speaker 1>So I think like an important reason that the article

0:14:56.560 --> 0:14:58.800
<v Speaker 1>highlights that I think is the second most important reason

0:14:59.320 --> 0:15:01.720
<v Speaker 1>is that this is what Cliff was talking about when

0:15:01.760 --> 0:15:02.360
<v Speaker 1>he came on.

0:15:02.680 --> 0:15:03.680
<v Speaker 2>Like nice callback.

0:15:03.880 --> 0:15:07.640
<v Speaker 1>Private markets are very attractive to a lot of investors

0:15:07.880 --> 0:15:11.520
<v Speaker 1>because they are less volatile than public markets. And if

0:15:11.560 --> 0:15:13.280
<v Speaker 1>you think about that for a fraction of a second,

0:15:13.360 --> 0:15:15.960
<v Speaker 1>or if you talk to Cliff, you'll be like, wait, magic,

0:15:16.080 --> 0:15:18.960
<v Speaker 1>they're not actually less volatiles. They don't trade, so you

0:15:18.960 --> 0:15:21.960
<v Speaker 1>don't see the fluctuations and the values that you see

0:15:21.960 --> 0:15:26.320
<v Speaker 1>in public markets because they trade constantly and so nonetheless,

0:15:26.400 --> 0:15:29.160
<v Speaker 1>like you know, as Cliff has written about, like there

0:15:29.240 --> 0:15:33.160
<v Speaker 1>is for some classes of investors, like a real value

0:15:33.160 --> 0:15:35.960
<v Speaker 1>in not having to mark down your positions. Yeah, and

0:15:36.600 --> 0:15:42.680
<v Speaker 1>if private credit loans traded constantly in a liquid market

0:15:42.680 --> 0:15:45.240
<v Speaker 1>that everyone could see, it would be harder to not

0:15:45.360 --> 0:15:48.240
<v Speaker 1>mark down your positions. When they went down in the market. Yeah,

0:15:48.360 --> 0:15:51.400
<v Speaker 1>and then some of the perceived advantage of private credit

0:15:51.440 --> 0:15:54.960
<v Speaker 1>would go away. And nobody trying to stuff private credit

0:15:54.960 --> 0:15:56.920
<v Speaker 1>into four one case it's going to be all that

0:15:56.960 --> 0:15:59.600
<v Speaker 1>excited about like increasing the volatility of the market. So

0:16:00.240 --> 0:16:04.640
<v Speaker 1>that is I think the second most important reason still.

0:16:04.680 --> 0:16:06.920
<v Speaker 2>I mean, you have Apollo trying to do that, trying

0:16:06.920 --> 0:16:09.680
<v Speaker 2>to make trading a thing, but they're also trying to

0:16:09.840 --> 0:16:11.640
<v Speaker 2>shove private credit into four to one case.

0:16:12.080 --> 0:16:13.600
<v Speaker 1>Yeah, so this is the tension, right, Like you don't

0:16:13.600 --> 0:16:17.280
<v Speaker 1>want volatility, yeah, but like you want retail customers, and

0:16:17.560 --> 0:16:21.760
<v Speaker 1>it is hard to build a retail product that is

0:16:21.800 --> 0:16:24.400
<v Speaker 1>completely a liquid yeah, but it makes sense. There's like

0:16:24.440 --> 0:16:27.960
<v Speaker 1>an economic intuition for like you can put private credit

0:16:28.280 --> 0:16:30.320
<v Speaker 1>into your four oh and K or your target date

0:16:30.360 --> 0:16:32.800
<v Speaker 1>fund and you'll know with certainty that you won't need

0:16:32.840 --> 0:16:34.960
<v Speaker 1>the money for thirty years, so that you can take

0:16:34.960 --> 0:16:37.120
<v Speaker 1>the ill liquidity risk. You don't need liquidity because you're

0:16:37.160 --> 0:16:40.240
<v Speaker 1>a long term saver, right, But nobody actually believes that

0:16:40.280 --> 0:16:43.200
<v Speaker 1>because like retail is like it's hard to lock up

0:16:43.240 --> 0:16:47.120
<v Speaker 1>retail for ten years, right, and so in practice to

0:16:47.160 --> 0:16:50.160
<v Speaker 1>have a retail product, you need something like at least

0:16:50.160 --> 0:16:53.320
<v Speaker 1>an interval fund and maybe an ETF right and an

0:16:53.320 --> 0:16:55.320
<v Speaker 1>ETF if you need trading, right, like you need to

0:16:55.320 --> 0:16:57.800
<v Speaker 1>be able to trade this stuff. So yeah, like there

0:16:57.840 --> 0:17:00.640
<v Speaker 1>is definitely a push for trading a private to get

0:17:00.640 --> 0:17:03.320
<v Speaker 1>it into retail. It's all right, so becuse the other way.

0:17:03.520 --> 0:17:05.359
<v Speaker 1>But I do you think the most important reason that

0:17:05.400 --> 0:17:08.800
<v Speaker 1>it's hard to trade private credit is that the deal

0:17:08.840 --> 0:17:13.240
<v Speaker 1>that private credit firms are offering to borrowers like private

0:17:13.280 --> 0:17:17.200
<v Speaker 1>equity sponsors is we will look you in the eye

0:17:17.240 --> 0:17:18.800
<v Speaker 1>and write you this loan, and we will own that

0:17:18.840 --> 0:17:21.800
<v Speaker 1>loan for the duration of the loan, and if you

0:17:21.840 --> 0:17:24.120
<v Speaker 1>have problems, you come to us, and like, we won't

0:17:24.119 --> 0:17:27.520
<v Speaker 1>be jerks because we're repeat players in this game. And

0:17:27.600 --> 0:17:32.800
<v Speaker 1>so once private credit trades, like you know, there's opportunities

0:17:32.840 --> 0:17:36.520
<v Speaker 1>for vulture funds and activists and like you know, loan

0:17:36.560 --> 0:17:39.919
<v Speaker 1>to own investors, and so it's less pleasant for the

0:17:39.960 --> 0:17:43.040
<v Speaker 1>private equity sponsors. And so you know, as they say

0:17:43.040 --> 0:17:47.280
<v Speaker 1>in the article, you know, unlike most bonds, private credit

0:17:47.320 --> 0:17:50.560
<v Speaker 1>loans require the approval of the lead lender and the

0:17:50.560 --> 0:17:55.040
<v Speaker 1>private equity sponsor to trade. So even if JP Murrien

0:17:55.080 --> 0:17:56.480
<v Speaker 1>could get someone to sell them, they'd have to go

0:17:56.520 --> 0:17:58.120
<v Speaker 1>to the sponsor and say, hey, can we buy this loan?

0:17:58.200 --> 0:17:58.879
<v Speaker 1>The sponsor could.

0:17:58.720 --> 0:18:03.440
<v Speaker 2>Say no, yeah, which they have veto power. Basically, Yeah,

0:18:03.560 --> 0:18:03.920
<v Speaker 2>it's not.

0:18:03.960 --> 0:18:06.720
<v Speaker 1>Just veto power. It's not just like we don't want

0:18:06.800 --> 0:18:08.720
<v Speaker 1>our loans to end up in the hands of like

0:18:09.080 --> 0:18:12.040
<v Speaker 1>activists we're scared of. It's also just like we want

0:18:12.080 --> 0:18:15.960
<v Speaker 1>our loans to be held by five people we negotiated

0:18:16.000 --> 0:18:18.800
<v Speaker 1>with rather than like any random person. Yeah, because we

0:18:18.840 --> 0:18:21.359
<v Speaker 1>want to be able to have a relationship with them

0:18:21.520 --> 0:18:24.720
<v Speaker 1>if we need to you know, extend or refinance the loan,

0:18:24.800 --> 0:18:26.560
<v Speaker 1>or you know, we run into problems or we need

0:18:26.600 --> 0:18:28.320
<v Speaker 1>to restructure, Like, we want to be able to talk

0:18:28.320 --> 0:18:29.959
<v Speaker 1>to people who we know and who like we have

0:18:30.000 --> 0:18:33.600
<v Speaker 1>a long term, repeat relationship with, rather than you know,

0:18:34.359 --> 0:18:39.000
<v Speaker 1>some random CLO manager. Yeah, and so that makes it

0:18:39.040 --> 0:18:40.080
<v Speaker 1>hard to trade re regret it.

0:18:40.320 --> 0:18:42.560
<v Speaker 2>So how does this evolve? I know that you're in

0:18:42.640 --> 0:18:46.160
<v Speaker 2>the camp. It seems that it kind of feels inevitable.

0:18:46.240 --> 0:18:49.200
<v Speaker 1>Yeah, I think so, But there's like a real cut argument.

0:18:49.480 --> 0:18:52.320
<v Speaker 2>Yeah, and you also have I mean, like you said,

0:18:52.320 --> 0:18:54.399
<v Speaker 2>the private equity sponsors don't want this. You also have

0:18:54.440 --> 0:18:56.879
<v Speaker 2>like the likes of Blual who thinks that private should

0:18:56.880 --> 0:18:59.840
<v Speaker 2>stay private. I mean, like, how do you see this evolving?

0:19:00.320 --> 0:19:04.399
<v Speaker 2>Will there be a corner that remains in the shadows,

0:19:04.680 --> 0:19:07.199
<v Speaker 2>or do you think that everything eventually will be out

0:19:07.200 --> 0:19:08.080
<v Speaker 2>in the open and traded.

0:19:08.560 --> 0:19:10.159
<v Speaker 1>You know, I think it's going to be contractual, and

0:19:10.200 --> 0:19:11.879
<v Speaker 1>so like, you know, you see a little of this in

0:19:11.880 --> 0:19:15.640
<v Speaker 1>the probably syndicated load market, where some loans are very

0:19:15.680 --> 0:19:18.760
<v Speaker 1>restrictive about who can buy them. And for the most part,

0:19:19.000 --> 0:19:22.159
<v Speaker 1>people think of the proably syndicated load market as like,

0:19:22.280 --> 0:19:24.240
<v Speaker 1>you know, kind of trading, and like banks have trading

0:19:24.240 --> 0:19:25.959
<v Speaker 1>desks and it's trades and it's you know, you can

0:19:26.000 --> 0:19:28.359
<v Speaker 1>get like marks and stuff, but it's not as like

0:19:28.400 --> 0:19:30.439
<v Speaker 1>what is the bond market, And like some loans you know,

0:19:30.520 --> 0:19:33.879
<v Speaker 1>have long restricted lists where people can't buy it. You

0:19:33.880 --> 0:19:36.040
<v Speaker 1>can have that in private credit, right where like some

0:19:36.280 --> 0:19:40.120
<v Speaker 1>sponsors some deals don't trade very much because they're very restrictive,

0:19:40.160 --> 0:19:43.760
<v Speaker 1>and other people say, I don't really care. I will

0:19:43.760 --> 0:19:46.840
<v Speaker 1>get a better price if I allow more trading with

0:19:46.920 --> 0:19:49.119
<v Speaker 1>my loans, and so I'll just take the better price.

0:19:49.840 --> 0:19:54.159
<v Speaker 1>And it's like interestingly, like there aren't that many private

0:19:54.160 --> 0:19:56.960
<v Speaker 1>credit firms and there aren't that many private aquity sponsors right,

0:19:57.040 --> 0:20:01.280
<v Speaker 1>Like it's all kind of like oligopolistic, and you could imagine,

0:20:01.320 --> 0:20:03.800
<v Speaker 1>like you know, people just come into arrangements and say, okay, fine,

0:20:03.840 --> 0:20:08.280
<v Speaker 1>well well you know, or like you have your reasons

0:20:08.280 --> 0:20:11.280
<v Speaker 1>for borrowing from firms that really don't allow trading, or

0:20:11.280 --> 0:20:13.600
<v Speaker 1>you have your reasons for buying from firms that love trading,

0:20:13.640 --> 0:20:15.280
<v Speaker 1>and like, you know, you could maybe you get a

0:20:15.280 --> 0:20:17.359
<v Speaker 1>better price with more liquidity and you know all the

0:20:17.359 --> 0:20:21.160
<v Speaker 1>other stuff. Yeah. Another possibility then a couple of reader

0:20:21.160 --> 0:20:23.639
<v Speaker 1>emails about this is like you can sort of like

0:20:23.880 --> 0:20:29.240
<v Speaker 1>halfway allow private credit trading where instead of selling the

0:20:29.359 --> 0:20:32.159
<v Speaker 1>loan to someone, you sell like a participation in the

0:20:32.200 --> 0:20:36.200
<v Speaker 1>loan where the original lender keeps like the servicing rights

0:20:36.200 --> 0:20:39.960
<v Speaker 1>and keeps the relationship with the borrower, but someone else

0:20:40.080 --> 0:20:43.320
<v Speaker 1>is buying the economic value of the loan. That's like

0:20:43.400 --> 0:20:46.359
<v Speaker 1>sort of a compromise that might work, and might you know,

0:20:46.560 --> 0:20:48.439
<v Speaker 1>give you some of the things that you want, like

0:20:49.400 --> 0:20:51.240
<v Speaker 1>letting the original lenders cash out a little bit or

0:20:51.280 --> 0:20:53.680
<v Speaker 1>de risk a little bit. It's like a little hard

0:20:53.720 --> 0:20:55.919
<v Speaker 1>to imagine because like with leverage loans, a lot of

0:20:55.920 --> 0:20:58.280
<v Speaker 1>what people do want is like the control rights and

0:20:58.320 --> 0:21:00.800
<v Speaker 1>the servicing rights and the ability to like have a

0:21:00.840 --> 0:21:03.280
<v Speaker 1>seat at the table in the restructuring. But maybe that's

0:21:03.280 --> 0:21:03.879
<v Speaker 1>the way I've heard to.

0:21:03.880 --> 0:21:19.639
<v Speaker 2>Get Yeah, it'll be fun to find out, Katie.

0:21:20.320 --> 0:21:22.000
<v Speaker 1>This is my last podcast.

0:21:21.640 --> 0:21:25.080
<v Speaker 2>Because because you got the call from Mark.

0:21:24.920 --> 0:21:28.359
<v Speaker 1>Zucker from too, I think it was fake.

0:21:28.400 --> 0:21:32.760
<v Speaker 2>There. It's hard to know because apparently we're not alone

0:21:32.800 --> 0:21:35.040
<v Speaker 2>in thinking that our Mark Zuckerberg calls were fake.

0:21:36.520 --> 0:21:38.240
<v Speaker 1>I'm just kidding that in fact it is.

0:21:38.400 --> 0:21:40.200
<v Speaker 2>Oh, I'm not knowing, No, I'm kidding.

0:21:40.240 --> 0:21:42.120
<v Speaker 1>Does seem to be the case that every single day,

0:21:42.160 --> 0:21:45.840
<v Speaker 1>every researcher in the world has gotten Mark Zuckerberg sliding

0:21:45.840 --> 0:21:49.320
<v Speaker 1>into their dms. Yeah, and ninety five percent of them

0:21:49.320 --> 0:21:52.879
<v Speaker 1>have been like, that's not Mark Zuckerberg, which is weird, right, Yeah,

0:21:52.920 --> 0:21:55.639
<v Speaker 1>which is weird because I don't know, it's so weird,

0:21:56.640 --> 0:22:00.760
<v Speaker 1>Like just the concept no, the job market. Oh yeah,

0:22:01.440 --> 0:22:03.160
<v Speaker 1>I was writing a little bit about this, Like I'm

0:22:03.240 --> 0:22:07.600
<v Speaker 1>used to like the financial industry, where the job is

0:22:07.640 --> 0:22:10.800
<v Speaker 1>to pay people enough that they don't live for your competitors,

0:22:11.119 --> 0:22:12.880
<v Speaker 1>but not so much that they leave to like sit

0:22:12.960 --> 0:22:16.159
<v Speaker 1>on a beach, right, Right, you need them to still

0:22:16.200 --> 0:22:19.600
<v Speaker 1>want more money but not be able to get it elsewhere, right,

0:22:20.960 --> 0:22:22.560
<v Speaker 1>And like you know, there's like a range, right, Like

0:22:22.600 --> 0:22:24.360
<v Speaker 1>there's like if you pay them more than X, they

0:22:24.400 --> 0:22:26.040
<v Speaker 1>won't go to your competitors. And if you pay them

0:22:26.080 --> 0:22:27.680
<v Speaker 1>less than why they won't quit to go to the beach,

0:22:27.720 --> 0:22:29.120
<v Speaker 1>And like you know why is go to the next

0:22:30.280 --> 0:22:35.280
<v Speaker 1>In AI, it's like it's flipped in AI. To out

0:22:35.320 --> 0:22:39.280
<v Speaker 1>compete your competitors for the best AI talent, you need

0:22:39.320 --> 0:22:42.520
<v Speaker 1>to pay the best aay Italian one hundred million dollars. Yeah,

0:22:43.680 --> 0:22:46.360
<v Speaker 1>and I'm like to like a twenty eight year old,

0:22:46.440 --> 0:22:50.080
<v Speaker 1>right if I love my job.

0:22:50.119 --> 0:22:51.840
<v Speaker 2>But yeah, for sure if I got a.

0:22:51.920 --> 0:22:54.160
<v Speaker 1>Hundred million dollars, I wouldn't do it anymore.

0:22:54.480 --> 0:22:56.440
<v Speaker 2>Yeah, yeah, that's true.

0:22:56.600 --> 0:22:58.679
<v Speaker 1>That's too much money. So are you don't need to

0:22:58.720 --> 0:22:59.480
<v Speaker 1>work anymore?

0:22:59.640 --> 0:23:02.080
<v Speaker 2>Are you applying it's just more important that they don't

0:23:02.080 --> 0:23:03.000
<v Speaker 2>work at open AI?

0:23:03.960 --> 0:23:04.480
<v Speaker 1>What do you mean?

0:23:04.680 --> 0:23:06.280
<v Speaker 2>Listening to you talk, it sounds like you're saying that

0:23:06.320 --> 0:23:09.480
<v Speaker 2>Mark Zuckerberg is hiring these people just so they're not

0:23:09.520 --> 0:23:11.400
<v Speaker 2>working in a working It's.

0:23:11.320 --> 0:23:13.359
<v Speaker 1>Very bizarre to me. I assume there's some sort of

0:23:13.400 --> 0:23:15.760
<v Speaker 1>like structure on their compensation where they don't just get

0:23:15.800 --> 0:23:17.399
<v Speaker 1>a bag of money on the first day and then

0:23:17.880 --> 0:23:19.600
<v Speaker 1>but no, I don't think he's like hiring them to

0:23:19.600 --> 0:23:21.600
<v Speaker 1>get them out of open AI. I think he's genuinely

0:23:21.680 --> 0:23:24.880
<v Speaker 1>trying to build a giant AI research.

0:23:24.560 --> 0:23:28.280
<v Speaker 2>Project, super intelligent you, and it's.

0:23:28.160 --> 0:23:31.320
<v Speaker 1>Apparently intended to include every AI researcher in the world

0:23:31.359 --> 0:23:34.240
<v Speaker 1>at one hundred million dollars a pop. And it's amazing.

0:23:34.760 --> 0:23:36.919
<v Speaker 2>I think their desks are also going to be close

0:23:37.040 --> 0:23:39.320
<v Speaker 2>to Mark Zuckerberg. They're going to be physically close to

0:23:39.400 --> 0:23:39.880
<v Speaker 2>him as well.

0:23:39.880 --> 0:23:44.000
<v Speaker 1>They're going to be made out of diamonds. I truly like,

0:23:44.040 --> 0:23:45.960
<v Speaker 1>I'm used to finance, but like in tech, it's like

0:23:46.000 --> 0:23:49.200
<v Speaker 1>a famous concept of like resting investing right, Like it's

0:23:49.240 --> 0:23:53.480
<v Speaker 1>famously like there are people who, by virtue of being

0:23:53.520 --> 0:23:58.640
<v Speaker 1>early employees at successful companies, don't need to work anymore. Yeah,

0:23:58.840 --> 0:24:02.200
<v Speaker 1>in an AI there only those people. Every person who

0:24:02.200 --> 0:24:04.880
<v Speaker 1>works that A doesn't need to work anywhere. It's so strange.

0:24:04.960 --> 0:24:08.119
<v Speaker 1>I'll be really motivated by building AI.

0:24:08.440 --> 0:24:10.680
<v Speaker 2>Yeah, I mean, I just find I'm exaggerating.

0:24:10.680 --> 0:24:12.080
<v Speaker 1>I'm sure there're like some listeners who are like, I

0:24:12.119 --> 0:24:13.760
<v Speaker 1>don't think it paid like eight million dollars a year

0:24:13.760 --> 0:24:15.879
<v Speaker 1>and I work in AI, and it's really like, you're

0:24:16.000 --> 0:24:18.600
<v Speaker 1>really exaggerating. I agree, I'm really exaggerating, but you keep

0:24:18.680 --> 0:24:21.520
<v Speaker 1>reading story by Peep forgetting Yeah, really enormous.

0:24:21.840 --> 0:24:22.800
<v Speaker 2>It's super disheartening.

0:24:23.119 --> 0:24:25.399
<v Speaker 1>I find I love when people get paid a lot

0:24:25.440 --> 0:24:27.199
<v Speaker 1>of money. It's just like rising times left all.

0:24:27.200 --> 0:24:30.520
<v Speaker 2>But it's just a good guy. I find Mark Zuckerberg

0:24:30.640 --> 0:24:34.480
<v Speaker 2>just a fascinating individual. I find Meta fascinating as well.

0:24:35.480 --> 0:24:38.760
<v Speaker 2>You know, Meta used to be called Facebook, and then

0:24:39.200 --> 0:24:44.119
<v Speaker 2>he spent so much money on the metaverse tanked the stock.

0:24:44.400 --> 0:24:47.040
<v Speaker 2>This was a huge thing, like how much money he

0:24:47.119 --> 0:24:49.760
<v Speaker 2>was funneling in for no return. Then they had to

0:24:49.760 --> 0:24:52.560
<v Speaker 2>do the Year of Efficiency or whatever. They fired a

0:24:52.560 --> 0:24:55.520
<v Speaker 2>bunch of people. I do wonder if we're watching this

0:24:55.640 --> 0:24:58.159
<v Speaker 2>build up again when it comes.

0:24:57.920 --> 0:25:00.840
<v Speaker 1>Specifically, it's a general matter. I kind of think that

0:25:00.920 --> 0:25:05.200
<v Speaker 1>like AI is the real version of like the meta

0:25:05.640 --> 0:25:07.680
<v Speaker 1>the metaverse, or the fake version, you know, like yeah,

0:25:07.800 --> 0:25:08.240
<v Speaker 1>I don't.

0:25:08.119 --> 0:25:12.080
<v Speaker 2>Know, MANKI is more real than the metaverse, like the

0:25:12.080 --> 0:25:12.879
<v Speaker 2>grown up version.

0:25:13.000 --> 0:25:14.919
<v Speaker 1>I just feel like you can look look at like

0:25:15.840 --> 0:25:18.680
<v Speaker 1>the ll ms and like ask them to do useful things,

0:25:18.680 --> 0:25:21.040
<v Speaker 1>and they do useful things and like oh that was useful, right,

0:25:21.359 --> 0:25:23.199
<v Speaker 1>and then like the metaverse, it's like I don't have

0:25:23.280 --> 0:25:24.840
<v Speaker 1>legs in a video, you know.

0:25:24.880 --> 0:25:26.600
<v Speaker 2>Like here's the Eiffel Tower, right.

0:25:27.200 --> 0:25:29.960
<v Speaker 1>Like the metaverse was obviously intuitively stupid the whole time.

0:25:30.080 --> 0:25:33.320
<v Speaker 2>I don't know, he spent so much money. No, we're

0:25:33.359 --> 0:25:35.600
<v Speaker 2>not cutting this, this is good. I don't know if

0:25:35.600 --> 0:25:39.080
<v Speaker 2>I've made this point on the podcast before, but I truly, truly,

0:25:39.160 --> 0:25:41.359
<v Speaker 2>truly believe that if he had just waited, like a

0:25:41.400 --> 0:25:44.520
<v Speaker 2>year or two, it would be AI Platforms. I feel like,

0:25:45.359 --> 0:25:48.159
<v Speaker 2>in his part of heart, does he regret naming it

0:25:48.200 --> 0:25:49.120
<v Speaker 2>meta platforms.

0:25:49.800 --> 0:25:53.480
<v Speaker 1>I would like it at another like meta platforms is

0:25:53.480 --> 0:25:56.520
<v Speaker 1>a fine name for whatever nonsense you're doing, Like it's fine.

0:25:57.359 --> 0:26:00.480
<v Speaker 1>Metaverse platform is terrible that meta like meta.

0:26:00.720 --> 0:26:02.800
<v Speaker 2>Yeah, I feel like everyone has kind of forgotten that

0:26:02.960 --> 0:26:06.960
<v Speaker 2>the metata I agree that. I do seriously wonder though,

0:26:06.960 --> 0:26:09.800
<v Speaker 2>if we're watching round two of this though this build up,

0:26:09.840 --> 0:26:11.840
<v Speaker 2>and that in a couple of years, maybe we're going

0:26:11.880 --> 0:26:19.639
<v Speaker 2>to be talking about massive layoffs and you know metasi.

0:26:17.560 --> 0:26:21.200
<v Speaker 1>Researcher speakcause like if it stops being fun, they'll just

0:26:21.280 --> 0:26:22.920
<v Speaker 1>leave because they have one hundred million dollars.

0:26:23.080 --> 0:26:28.439
<v Speaker 2>That's true, that's true. It is interesting to contrast how

0:26:28.480 --> 0:26:32.240
<v Speaker 2>hard Mark Zuckerberg and Meta are going at AI versus

0:26:32.280 --> 0:26:35.680
<v Speaker 2>like Apple, where the narrative is very much that they've

0:26:35.720 --> 0:26:37.920
<v Speaker 2>fallen behind. And then you think about Microsoft, which has

0:26:38.040 --> 0:26:41.080
<v Speaker 2>just been shedding thousands and thousands of jobs.

0:26:41.119 --> 0:26:44.480
<v Speaker 1>Like Meta stands, Microsoft has like the open air well

0:26:44.680 --> 0:26:48.200
<v Speaker 1>sort of it's like complicated, but Microsoft sort of has

0:26:48.240 --> 0:26:50.560
<v Speaker 1>like you know, open ai as its AI horse.

0:26:50.800 --> 0:26:54.159
<v Speaker 2>Yeah, yeah, that's true, just simply making the point that

0:26:54.200 --> 0:26:56.960
<v Speaker 2>like Meta is moving in a lot of different ways

0:26:56.960 --> 0:26:59.400
<v Speaker 2>than some of its magnificent seven peers.

0:26:59.480 --> 0:27:01.840
<v Speaker 1>Sure right, No, I'm sure that a lot of the

0:27:01.880 --> 0:27:05.439
<v Speaker 1>piers are having the same thought you are, which is like,

0:27:06.400 --> 0:27:09.879
<v Speaker 1>spending billions and billions of dollars to hire twenty people

0:27:10.040 --> 0:27:14.200
<v Speaker 1>is surely not an efficient, yeah way to do anything.

0:27:14.440 --> 0:27:17.560
<v Speaker 2>But seems like shareholders are on board for the time being. Though.

0:27:20.119 --> 0:27:23.880
<v Speaker 1>I think enough reasonable people think there's some sort of

0:27:23.920 --> 0:27:26.199
<v Speaker 1>like winner take all aspect of this that it's not

0:27:26.240 --> 0:27:28.600
<v Speaker 1>insane to be like we're going to spend billions and

0:27:28.640 --> 0:27:31.680
<v Speaker 1>billions of dollars to hire every AI researchers that no

0:27:31.720 --> 0:27:33.840
<v Speaker 1>one else can have them. I mean, it's a little insane,

0:27:33.840 --> 0:27:36.160
<v Speaker 1>but it's like it's within the parameters. I do want

0:27:36.160 --> 0:27:37.960
<v Speaker 1>to say. I've been talking about people get paid one

0:27:38.000 --> 0:27:41.119
<v Speaker 1>hundred million dollars. But that's not the cap. There's like,

0:27:41.520 --> 0:27:43.680
<v Speaker 1>what is it scale AI that they bought.

0:27:44.240 --> 0:27:45.200
<v Speaker 2>Yeah, that's the other story.

0:27:45.240 --> 0:27:48.399
<v Speaker 1>I've bought for fourteen billion dollars. Yeah, of which not

0:27:48.440 --> 0:27:51.520
<v Speaker 1>all of it goes to the handful of founders they wanted.

0:27:51.560 --> 0:27:53.960
<v Speaker 1>But those people are getting paid more than one hundred

0:27:53.960 --> 0:27:56.399
<v Speaker 1>million dollars to come work from META. It's not called salary,

0:27:56.440 --> 0:27:57.560
<v Speaker 1>it's called like acquisition.

0:27:57.640 --> 0:28:00.520
<v Speaker 2>But I think you jokingly referred to twenty eight year olds,

0:28:00.600 --> 0:28:02.520
<v Speaker 2>but isn't the co founder?

0:28:04.040 --> 0:28:07.040
<v Speaker 1>This is the thing, Like, for one thing, these salaries

0:28:07.080 --> 0:28:09.440
<v Speaker 1>are so much higher than like twenty eight year olds

0:28:09.520 --> 0:28:13.000
<v Speaker 1>usually get paid in like the financial industry. But for

0:28:13.000 --> 0:28:15.719
<v Speaker 1>another thing, like I choked about this, but it's kind

0:28:15.760 --> 0:28:18.000
<v Speaker 1>of true. Like you work in finance, Like you start

0:28:18.000 --> 0:28:20.480
<v Speaker 1>out making like a nice living, but like you see

0:28:20.520 --> 0:28:23.840
<v Speaker 1>everyone around you with like their compounds and amagansett and

0:28:23.880 --> 0:28:26.520
<v Speaker 1>you're like, oh, I want that, And then like as

0:28:26.560 --> 0:28:28.719
<v Speaker 1>you move up the ladder, you get paid like millions

0:28:28.760 --> 0:28:30.960
<v Speaker 1>of dollars, but you're like, I need more millions of

0:28:31.000 --> 0:28:34.160
<v Speaker 1>dollars to have the lifestyle that I've come to expect.

0:28:34.240 --> 0:28:38.080
<v Speaker 1>Right in Hay, like all these people started two years ago,

0:28:38.360 --> 0:28:39.480
<v Speaker 1>they don't need anymore.

0:28:39.600 --> 0:28:42.520
<v Speaker 2>I don't think it's like this are so just retire.

0:28:42.760 --> 0:28:45.120
<v Speaker 1>It's just like finance is a good job of creating

0:28:45.200 --> 0:28:48.560
<v Speaker 1>the wants in people. Yeah, that lead them to want

0:28:48.600 --> 0:28:51.000
<v Speaker 1>to keep working even if they're making tens of millions

0:28:51.040 --> 0:28:53.720
<v Speaker 1>of dollars a year. Yeah. I guess that's true in

0:28:53.760 --> 0:28:57.360
<v Speaker 1>the tech industry too, but it seems less reliable. Like

0:28:57.360 --> 0:28:58.760
<v Speaker 1>all these people are right out of grad school and

0:28:58.800 --> 0:29:01.960
<v Speaker 1>they're getting paid hundred million. They weren't getting paid hundred

0:29:01.960 --> 0:29:04.600
<v Speaker 1>million dollars five years ago. They weren't starting at firms

0:29:04.600 --> 0:29:07.640
<v Speaker 1>where Yeah, like the CEOs of those firms were making

0:29:07.840 --> 0:29:10.480
<v Speaker 1>hundreds of millions of dollars because five years ago the

0:29:10.520 --> 0:29:12.480
<v Speaker 1>AI people weren't making hundreds of millions of dollars.

0:29:12.600 --> 0:29:15.640
<v Speaker 2>This is vaguely reminding me of a conversation I believe

0:29:15.640 --> 0:29:17.440
<v Speaker 2>that we had on this podcast a couple of weeks

0:29:17.480 --> 0:29:21.640
<v Speaker 2>ago about how it feels like every tech founder or

0:29:21.680 --> 0:29:23.760
<v Speaker 2>like social media site, like there has to be like

0:29:23.960 --> 0:29:27.440
<v Speaker 2>some element of like we're saving the world or like

0:29:27.480 --> 0:29:30.720
<v Speaker 2>we're changing humanity or something like that. I wish I

0:29:30.720 --> 0:29:33.400
<v Speaker 2>could remember what exactly we were talking about, And I

0:29:33.440 --> 0:29:35.320
<v Speaker 2>think I made the point, or at least I was thinking,

0:29:35.360 --> 0:29:38.160
<v Speaker 2>like I wish that they would just say I'm making

0:29:38.200 --> 0:29:40.400
<v Speaker 2>a social media site that I'm going to sell ads

0:29:40.400 --> 0:29:43.360
<v Speaker 2>on or something like. I feel like with these people

0:29:43.400 --> 0:29:44.960
<v Speaker 2>that are making so much money, though maybe it is

0:29:45.040 --> 0:29:49.280
<v Speaker 2>true that like they view their mission is like higher than.

0:29:50.040 --> 0:29:52.280
<v Speaker 1>Well, I think that AI, I mean whatever, Like I

0:29:52.280 --> 0:29:58.240
<v Speaker 1>think AI is like there is some level at which

0:29:59.600 --> 0:30:03.000
<v Speaker 1>you are like ultimately selling ads on social media sites,

0:30:03.320 --> 0:30:05.720
<v Speaker 1>but like not that it's not.

0:30:05.760 --> 0:30:08.120
<v Speaker 2>As much Yeah, no, no, no, no.

0:30:08.080 --> 0:30:09.640
<v Speaker 1>I think that like there are a lot of gradios

0:30:09.640 --> 0:30:12.720
<v Speaker 1>claims about like the effects on humanity of like you

0:30:12.760 --> 0:30:15.600
<v Speaker 1>know these l ms, but is something that's true. Yeah,

0:30:16.240 --> 0:30:19.880
<v Speaker 1>it seems like a more fundamental thing to work on then, No.

0:30:19.760 --> 0:30:22.880
<v Speaker 2>This is just seems a little bit more like I

0:30:22.880 --> 0:30:23.720
<v Speaker 2>could see that like.

0:30:23.680 --> 0:30:25.480
<v Speaker 1>A real you know, we're changing the world.

0:30:25.520 --> 0:30:27.200
<v Speaker 2>You can have a real mission statement when it comes

0:30:27.240 --> 0:30:29.720
<v Speaker 2>to this. But I can't remember what exactly.

0:30:30.520 --> 0:30:32.120
<v Speaker 1>Pay one hundred million dollars, that's really important?

0:30:32.160 --> 0:30:36.360
<v Speaker 2>That's true. I would take one year at one hundred

0:30:36.360 --> 0:30:40.360
<v Speaker 2>million dollars and I'd probably leave. What's what I'm saying, Yeah,

0:30:40.720 --> 0:30:41.640
<v Speaker 2>we're in alignment.

0:30:41.680 --> 0:30:45.280
<v Speaker 1>I feel like, Okay, so I feel like that's why we.

0:30:45.320 --> 0:30:47.080
<v Speaker 2>Both picked up the phone call from Mark.

0:30:46.960 --> 0:30:52.240
<v Speaker 1>Zuckerberg, and that was The Money Stuff Podcast.

0:30:52.400 --> 0:30:54.360
<v Speaker 2>I'm Matt Levian and I'm Katie Greifeld.

0:30:54.760 --> 0:30:56.840
<v Speaker 1>You can find my work by subscribing to The Money

0:30:56.840 --> 0:30:59.320
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0:30:59.000 --> 0:31:01.520
<v Speaker 2>And you can find me on Bloomberg TV every day

0:31:01.560 --> 0:31:04.640
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0:31:17.640 --> 0:31:20.440
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0:31:20.480 --> 0:31:21.320
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0:31:28.760 --> 0:31:31.080
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