WEBVTT - The Return of T+1 Stock Trading, Pricing Offshore Wind

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news.

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<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 3>All right, top of the top.

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<v Speaker 4>Go.

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<v Speaker 1>Kind of thing today is Wall Street returns to a

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<v Speaker 1>T plus one stock trading after a century Only in Bloomberg.

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<v Speaker 1>When people read that kind of story, and maybe I'll

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<v Speaker 1>find one other person that cares about this, Larry Tapp,

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<v Speaker 1>He's head of market Structure a Bloomberg Intelligence. Larry, can

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<v Speaker 1>you explain to us what is going on here? To

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<v Speaker 1>explain it? Like I'm five years old, because when I

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<v Speaker 1>started the business, I think it was T plus seven.

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<v Speaker 1>That was a gentlemanly timeframe. Now it's T plus one.

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<v Speaker 1>What's going on?

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<v Speaker 5>Not a problem, Paul? Yeah, you know, starting today, securities

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<v Speaker 5>traded today will actually settle tomorrow instead of on on Thursday.

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<v Speaker 5>So what that means is that we buy I buy

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<v Speaker 5>Apple today, and on tomorrow tomorrow, I get the shares

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<v Speaker 5>in my account and my broker takes the payment out

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<v Speaker 5>of my out of my account. Now for most retail

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<v Speaker 5>it's not going to be that big an issue. It's

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<v Speaker 5>much more of an institutional issue where the securities in

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<v Speaker 5>cash don't reside at the broker, where they reside at

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<v Speaker 5>a third party custodian, and that becomes a little more complicated.

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<v Speaker 6>So how does it become complicated? Like it seems like

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<v Speaker 6>a pretty straightforward thing, right, So where do the problems lie?

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<v Speaker 5>Well, there are there are problems will lie in four

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<v Speaker 5>or five different areas. The biggest problem is with foreign exchange.

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<v Speaker 5>So let's just say I am Aberdeen and I'm located

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<v Speaker 5>in Scotland or wherever, or in London. If they buy Apple,

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<v Speaker 5>they're going to have to actually send over currency pounds

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<v Speaker 5>and convert that to dollars and pay for that. The

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<v Speaker 5>problem is that currency takes two days to settle in

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<v Speaker 5>standard currency settlement, whereas the securities will settle in one day.

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<v Speaker 5>So if they buy Apple today, will have to pay

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<v Speaker 5>for the securities tomorrow. But if they send over pounds

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<v Speaker 5>to pay for that to cover that, the pounds won't

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<v Speaker 5>actually get converted to dollars till Thursday, which means they

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<v Speaker 5>won't have the cash there on time, which means they

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<v Speaker 5>either have to finance that purchase, or they have to

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<v Speaker 5>move the cash earlier, or they have to instead of

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<v Speaker 5>using Swift or CLS, which is the currency settlement system,

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<v Speaker 5>they actually have to call somebody and say, hey, let's

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<v Speaker 5>do this on an emergency basis and get this taken

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<v Speaker 5>care of. And so that's an issue. The second it

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<v Speaker 5>has to do with securities lending. So if my security

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<v Speaker 5>is of my apples out on loan, they have to

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<v Speaker 5>get that back so that I can actually make sure

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<v Speaker 5>that can get delivered. Now, Apple's probably not a big

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<v Speaker 5>issue there, but if it's hard to borrow security, it

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<v Speaker 5>might be much more difficult to find the securities, you know,

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<v Speaker 5>if I've lent them out to try to collect a feed,

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<v Speaker 5>getting them back maybe a little bit more problematic. Other

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<v Speaker 5>issues which impact actually everybody in the US is the

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<v Speaker 5>allocation confirmation process. So if I'm FIDELI or if I'm

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<v Speaker 5>a big asset manager, I'm not buying one hundred or

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<v Speaker 5>two hundred shares of Apple. I'm probably buying one hundred

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<v Speaker 5>thousand or a million shares of Apple. Trays these days

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<v Speaker 5>don't necessarily occur in these big blocks like they used to.

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<v Speaker 5>They get broken up into algos and they get executed

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<v Speaker 5>in hundred share increments. That said, the und share increments

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<v Speaker 5>don't settle immediately. They have to be badged up. We

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<v Speaker 5>have to create an average price. There's a lot of

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<v Speaker 5>manual or at least what used to be manual effort

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<v Speaker 5>involved in managing that, and the process just needs to

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<v Speaker 5>be sped up. And the close out time is generally

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<v Speaker 5>nine nine PM for that, and so they have between

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<v Speaker 5>you know, four and nine to get all that operational

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<v Speaker 5>stuff done and that just takes, you know, takes time

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<v Speaker 5>sometimes when when it you know, becomes harder to add

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<v Speaker 5>all this stuff up and average price it out and

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<v Speaker 5>break them up into the transactions. Because it's probably not

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<v Speaker 5>a million shares of Apple for one fidelity account. It

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<v Speaker 5>could be you know, ten different portfolios that are buying

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<v Speaker 5>Apple and it has to be broken up into you know,

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<v Speaker 5>ten little clumps. And there are a couple of other issues,

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<v Speaker 5>but those are the big ones.

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<v Speaker 1>So given all that, why is a SEC doing this

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<v Speaker 1>is simply because from a technological perspective, they can, well.

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<v Speaker 5>The SEC can do a lot of things, but increasingly

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<v Speaker 5>people are suing the SEC, so there they can't do

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<v Speaker 5>anything they want. I think the issue here revolves around

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<v Speaker 5>the Robinhood issue back in January of twenty twenty one,

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<v Speaker 5>where they got a margin call to come up with

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<v Speaker 5>three billion dollars to cover all the memestock buying. And

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<v Speaker 5>so there's an old saying in the back office that

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<v Speaker 5>nothing good ever happens between trading and settlement date. So

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<v Speaker 5>the challenge there is that if for whatever reason, XYZ

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<v Speaker 5>broker goes bankrupt, you know, you know on one day,

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<v Speaker 5>the shorter the settlement period is, the more likely that

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<v Speaker 5>those transactions get paid for and they don't have to

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<v Speaker 5>be funded by you know, the industry, because right now

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<v Speaker 5>what happens is all these transactions washed through the DTCC.

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<v Speaker 5>The DTCC, the depository trust guarantees settlements. So if God forbid,

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<v Speaker 5>a broker goes down, you know, the other side of

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<v Speaker 5>the isn't broken. But to do that they have to

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<v Speaker 5>take margin from virtually the whole industry. And so if

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<v Speaker 5>you shorten the settlement cycle, the risk of failure goes down,

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<v Speaker 5>and so the amount of margin that you have to

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<v Speaker 5>put up to guarantee those trades goes down, and so

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<v Speaker 5>it just takes less risk, It takes risk out of

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<v Speaker 5>the settlement system.

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<v Speaker 6>So Larry, with that in mind, how long are we

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<v Speaker 6>going to know? At what point when we know if

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<v Speaker 6>T plus one is working or the difficulties are cropping up,

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<v Speaker 6>when are we going to know that?

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<v Speaker 5>Well, it depends on who we is, the brokers and

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<v Speaker 5>the custodians and the folks involved that the transactions will

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<v Speaker 5>know pretty quickly, you know. The problem is that data

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<v Speaker 5>to the rest of the public probably won't be known

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<v Speaker 5>for a while. And where we expect to see problems

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<v Speaker 5>occur would be in the fail numbers. So if if, if,

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<v Speaker 5>if I have to, if I'm a European, if I

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<v Speaker 5>go back up, I'm Aberdeen, and I have to pay

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<v Speaker 5>for Apple and the US and my payment doesn't come

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<v Speaker 5>in two things Leiter happen. One is that I'll have

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<v Speaker 5>to borrow cash from my bank, in which case we

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<v Speaker 5>may never know about it because it's it'll just be

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<v Speaker 5>wind up being a loan from X y Z bank

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<v Speaker 5>to Aberdeen. Or two, the securities will fail and then

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<v Speaker 5>the fail numbers come out on a delayed basis, so

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<v Speaker 5>we won't know what the fails wind up going up

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<v Speaker 5>for a couple of weeks. And so that's where and

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<v Speaker 5>so and the third issue is that if all hell

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<v Speaker 5>breaks loose and we have a real problem, that'll be

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<v Speaker 5>known in the back offices before anything. And the question is,

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<v Speaker 5>you know what kind of transparency will we get out

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<v Speaker 5>of it. Maybe we'll know some stuff from the Federal

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<v Speaker 5>Reserve if things go drastically awry, or the d DCC,

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<v Speaker 5>your CEFMA. But they're going to have to They're gonna

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<v Speaker 5>have to publish that information. It's not like something that

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<v Speaker 5>we could see on a screen on the Bloomberg screen, right,

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<v Speaker 5>A lot of that stuff is fairly private data.

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<v Speaker 1>All right, Larry, We're gonna to leave it there. Great stuff.

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<v Speaker 1>Larry tab head of market Structure Bloomberg Intelligence. He is

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<v Speaker 1>on top of He is the leading voice in the

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<v Speaker 1>marketplace a back all these markets actually work. This is Bloomberg.

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<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 2>weekdays at ten am Eastern on applecard Play and Android

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<v Speaker 2>Outo with the Bloomberg Business app. You can also listen

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<v Speaker 2>live on Amazon Alexa from our flagship New York station.

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<v Speaker 2>Just say Alexa, play Bloomberg eleven thirty Alex.

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<v Speaker 1>This is how it was described to buy. Our next

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<v Speaker 1>guest to me the first time I met him. The

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<v Speaker 1>biggest company you never heard of?

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<v Speaker 4>For me?

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<v Speaker 1>Love that My man was I this is a fifty

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<v Speaker 1>billion this is Arthur J. Gallagher and Company. It's an

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<v Speaker 1>insurance company. I don't anything about insurance, and maybe that

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<v Speaker 1>has some something to do with it. But it's fifty

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<v Speaker 1>four billion dollars in market cap. I mean, it's up

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<v Speaker 1>ten percent this year of the stock, up twenty three

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<v Speaker 1>percent over the trailing twelve months. It just up into

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<v Speaker 1>the right every year. Why haven't I paid it more

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<v Speaker 1>attention to this one? But thank you.

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<v Speaker 6>It's like a family business.

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<v Speaker 4>I know.

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<v Speaker 1>Great grandfather Pac Allagher joins this year, great grandson of

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<v Speaker 1>the founder. He's the chief executive officer of Gallagher Insurance.

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<v Speaker 1>Pat talk to us about your company. You're based on Chicago.

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<v Speaker 1>Talk to us about a typical customer of yours and

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<v Speaker 1>a typical piece of business you do for your customers.

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<v Speaker 1>What are you guys really focusing on these days?

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<v Speaker 4>Well, first of all, pall we're not an insurance company,

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<v Speaker 4>so we don't take risks. We're insurance programs.

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<v Speaker 1>So much rights.

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<v Speaker 4>And it was my grandfather start of the company, not

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<v Speaker 4>my great grandfather. But anyway, every single day we get

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<v Speaker 4>up and we talk to customers about what the things

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<v Speaker 4>are that they are facing them that could cause real

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<v Speaker 4>disaster in their business. So this can be a business

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<v Speaker 4>as large as any of the largest companies in America

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<v Speaker 4>with professional risk management staff, all the way down to

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<v Speaker 4>the smallest of companies that you know in neighborhood, and

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<v Speaker 4>each of these businesses faces all kinds of complex risk

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<v Speaker 4>that's becoming more complex as we sit here. We never

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<v Speaker 4>ever thought of cyber ten years ago. Cyber is a

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<v Speaker 4>huge risk. Everybody's concerned about it. I tell our production

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<v Speaker 4>for us, if you're talking to the largest company in America,

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<v Speaker 4>or you're talking to someone who owns nothing more than

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<v Speaker 4>a sundry shop, they've got to be concerned about this.

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<v Speaker 4>And now you add AI to that, and so you

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<v Speaker 4>see the world everywhere. On top of that, of course,

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<v Speaker 4>you've got climate change and weather related issues that are

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<v Speaker 4>happening across the world, which is one of the reasons

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<v Speaker 4>why you see such a difficult time, for instance, getting

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<v Speaker 4>homeowners insurance in places like southern southern Florida. The point

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<v Speaker 4>is that every single company, every single organization out there,

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<v Speaker 4>faces these risks. What do they do with them. Insurance

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<v Speaker 4>plays one role. The other part of a broker's role

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<v Speaker 4>is to say, there's some things that aren't ensurable, Now,

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<v Speaker 4>how do we deal with that? What are the things

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<v Speaker 4>we do to help you control that. So we look

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<v Speaker 4>at a full spectrum of risk for a client and say,

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<v Speaker 4>these are the things that we can do to help

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<v Speaker 4>you deal with that as you go forward, and that

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<v Speaker 4>is incredibly valuable. We have a survey that we're just

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<v Speaker 4>finalizing the details on now. We talked to about one

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<v Speaker 4>thousand business owners across America and it's interesting to me

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<v Speaker 4>because it really is a finger on the pulse. They're

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<v Speaker 4>very concerned about weather related issues. Oh yeah, weather has

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<v Speaker 4>all of a sudden gone from something that's important on

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<v Speaker 4>the coasts to something that's important everywhere. I mean, I

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<v Speaker 4>grew up in the Midwest. We never had tornadoes in

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<v Speaker 4>the fall. Now that's normal. So just unfortunately a week

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<v Speaker 4>ago in Iowa there was a terrible school So people

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<v Speaker 4>are worried about that. They're worried about tech.

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<v Speaker 6>So how many how many? So what kind of customers

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<v Speaker 6>come to you and you say and they're like I

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<v Speaker 6>can't get coverage on this, or like I need coverage

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<v Speaker 6>on this, but I can't get it, or how has

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<v Speaker 6>that conversation evolved just in the last five years.

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<v Speaker 4>Oh, it's huge, So let's let's first of all, a

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<v Speaker 4>big part of what we do is help people take

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<v Speaker 4>their own risk. So that can take the form of

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<v Speaker 4>a large client creating a self insured platform where we

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<v Speaker 4>ensure excess of large deductibles. It can also go on

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<v Speaker 4>all the way to the middle market where groups band

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<v Speaker 4>together to form captive insurance companies. So the first the

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<v Speaker 4>first line of defense, of course, is to look at

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<v Speaker 4>all this and say what's insurable. Okay, you've got plants

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<v Speaker 4>in Iowa, You've got plants in Naples, Florida. How's that

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<v Speaker 4>going to shake out? What's that going to look like. Secondly,

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<v Speaker 4>you've got workers. You have to ensure the worker's compensation.

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<v Speaker 4>Those types of things you check off the list first.

0:12:30.480 --> 0:12:33.160
<v Speaker 4>Then you come back and say, these things either shouldn't

0:12:33.280 --> 0:12:37.000
<v Speaker 4>be or can't be insured. And there, Alexis really is

0:12:37.080 --> 0:12:40.760
<v Speaker 4>really the point of differentiation, because that's where we bring

0:12:40.800 --> 0:12:43.679
<v Speaker 4>an expert in to your point. If you ask anybody

0:12:43.760 --> 0:12:46.959
<v Speaker 4>out in the marketplace, not everything's insurable. Who's going to

0:12:47.000 --> 0:12:49.960
<v Speaker 4>help me? If you happen to be a builder. That's

0:12:50.000 --> 0:12:52.040
<v Speaker 4>a different answer than if you happen to be a school,

0:12:52.520 --> 0:12:55.200
<v Speaker 4>school district or university. So you have to have people

0:12:55.280 --> 0:12:59.160
<v Speaker 4>that talk that language, and that is really what differentiates us.

0:12:59.760 --> 0:13:01.600
<v Speaker 4>It's not just about quoting insurance.

0:13:01.920 --> 0:13:05.640
<v Speaker 1>And you're a global business. Talk to us about the

0:13:05.720 --> 0:13:07.800
<v Speaker 1>business here in the US versus maybe some of the

0:13:07.880 --> 0:13:09.560
<v Speaker 1>other bigger markets outside the US.

0:13:10.080 --> 0:13:12.000
<v Speaker 4>So we are global business. We like to say that

0:13:12.120 --> 0:13:15.600
<v Speaker 4>any account of any size, located anywhere in the world,

0:13:15.720 --> 0:13:17.839
<v Speaker 4>we can do and we can be helpful too. If

0:13:17.880 --> 0:13:19.599
<v Speaker 4>you look at the United States, though, we have a

0:13:19.760 --> 0:13:24.480
<v Speaker 4>very interesting business here in that it's incredibly fragmented right now.

0:13:24.559 --> 0:13:29.040
<v Speaker 4>We have thirty thousand competitors. Those aren't people, those are firms.

0:13:29.520 --> 0:13:31.800
<v Speaker 4>So in your local community, you know, you drive by

0:13:31.920 --> 0:13:35.200
<v Speaker 4>main Street and you'll see Jones Insurance that's a competitor

0:13:35.200 --> 0:13:39.079
<v Speaker 4>of ours. So it goes from those thirty thousand in

0:13:39.240 --> 0:13:41.520
<v Speaker 4>business insurance, the top one hundred went all the way

0:13:41.559 --> 0:13:44.400
<v Speaker 4>down to thirty five million, thirty six million in revenue.

0:13:44.440 --> 0:13:47.319
<v Speaker 4>We did about ten billion last year and the other

0:13:47.480 --> 0:13:50.440
<v Speaker 4>twenty nine nine hundred are smaller than that. So it's

0:13:50.480 --> 0:13:54.280
<v Speaker 4>just incredibly fragmented business with professionals of all sizes and

0:13:54.400 --> 0:13:57.439
<v Speaker 4>sorts around the country. That we have a very strong

0:13:57.520 --> 0:14:00.800
<v Speaker 4>platform of acquisitions and we bring those people in, we

0:14:00.960 --> 0:14:03.679
<v Speaker 4>don't want them to leave us. We feel that one

0:14:03.760 --> 0:14:08.080
<v Speaker 4>plus one can equal five. Paul, you're in your community,

0:14:08.280 --> 0:14:11.559
<v Speaker 4>you know your people. You're very good at insurance. But

0:14:11.679 --> 0:14:14.040
<v Speaker 4>when we bring our capabilities in, when we bring our

0:14:14.160 --> 0:14:17.079
<v Speaker 4>data and analytics. Now that big account in town, that

0:14:17.280 --> 0:14:20.880
<v Speaker 4>large contractor the large university that you knew you had

0:14:20.920 --> 0:14:23.320
<v Speaker 4>to stay away from, let's go get it together. And

0:14:23.400 --> 0:14:25.800
<v Speaker 4>if that energizes you, you'll be a great fit for

0:14:25.880 --> 0:14:26.800
<v Speaker 4>our acquisition team.

0:14:27.480 --> 0:14:29.920
<v Speaker 1>You're going to sell insurance, No, but it's people I

0:14:30.000 --> 0:14:32.400
<v Speaker 1>know that so insurance do fair very well. And you

0:14:32.400 --> 0:14:33.800
<v Speaker 1>spend a lot of time on the golf course too,

0:14:33.840 --> 0:14:35.160
<v Speaker 1>which I don't figure out that business.

0:14:35.200 --> 0:14:39.280
<v Speaker 4>Oh ok, yeah, we are recruiting Paul.

0:14:39.320 --> 0:14:42.960
<v Speaker 1>By the way, I think exactly what is a typical

0:14:43.320 --> 0:14:45.240
<v Speaker 1>acquisition for you guys. Is there a typical size you

0:14:45.440 --> 0:14:46.960
<v Speaker 1>like or is there a typical revenue.

0:14:46.720 --> 0:14:49.280
<v Speaker 4>Number you like? Well, we're not afraid to do large deals,

0:14:49.360 --> 0:14:51.280
<v Speaker 4>and in the last ten years we've done a number

0:14:51.320 --> 0:14:53.440
<v Speaker 4>that have reached that billion mark and we're very proud

0:14:53.480 --> 0:14:55.080
<v Speaker 4>of that. But really if you go back to my

0:14:55.240 --> 0:14:59.520
<v Speaker 4>comment about size of the availability in the United States,

0:14:59.560 --> 0:15:02.960
<v Speaker 4>and this is mirrored globally. Most of the people who

0:15:03.000 --> 0:15:05.920
<v Speaker 4>are out there that are private are smaller. And by

0:15:06.000 --> 0:15:09.040
<v Speaker 4>that I mean our average acquisition size is probably somewhere

0:15:09.040 --> 0:15:11.920
<v Speaker 4>around ten million in revenue. Okay, it's probably owned by

0:15:11.960 --> 0:15:14.880
<v Speaker 4>two or three entrepreneurs, may have started at their dining

0:15:14.960 --> 0:15:17.560
<v Speaker 4>room table, or their parents may have started it. They've

0:15:17.600 --> 0:15:20.120
<v Speaker 4>grown the business to a great size for them in

0:15:20.200 --> 0:15:22.640
<v Speaker 4>their local community. To your point, Paul, they make a

0:15:22.880 --> 0:15:26.560
<v Speaker 4>very good living, and yet at the same time, if

0:15:26.600 --> 0:15:29.080
<v Speaker 4>they want to stay in touch with what's happening in

0:15:29.160 --> 0:15:32.920
<v Speaker 4>the future, AI, cyber data analytics, et cetera, they need

0:15:33.000 --> 0:15:36.440
<v Speaker 4>a partner. And that's what we bring. And again back

0:15:36.480 --> 0:15:39.600
<v Speaker 4>to the point that we don't synergize out costs and

0:15:39.680 --> 0:15:41.640
<v Speaker 4>say come in here, get rid of everybody. We just

0:15:41.680 --> 0:15:43.880
<v Speaker 4>want your book of business. We want to take that

0:15:44.040 --> 0:15:45.560
<v Speaker 4>platform and really expand it.

0:15:46.040 --> 0:15:48.480
<v Speaker 1>That thirty seconds left, Pat, just how's your year been

0:15:48.600 --> 0:15:48.920
<v Speaker 1>so far?

0:15:49.400 --> 0:15:49.720
<v Speaker 2>Years?

0:15:49.760 --> 0:15:52.040
<v Speaker 4>Looking great? Thank you very much. The last five years

0:15:52.080 --> 0:15:53.920
<v Speaker 4>have been terrific, and we look at the future and

0:15:54.000 --> 0:15:54.960
<v Speaker 4>we're just getting started.

0:15:55.200 --> 0:15:57.160
<v Speaker 1>All right, sounds good to me. The insurance business is

0:15:57.200 --> 0:15:58.760
<v Speaker 1>a good business. They all tell me that, but I

0:15:58.880 --> 0:15:59.760
<v Speaker 1>just don't understand it.

0:16:00.120 --> 0:16:01.880
<v Speaker 3>To be honest, I buy a lot of it. Yeah,

0:16:01.880 --> 0:16:03.160
<v Speaker 3>I was gonna say, we buy a lot of it.

0:16:03.280 --> 0:16:04.160
<v Speaker 3>This is very true.

0:16:04.680 --> 0:16:06.760
<v Speaker 1>Yeah, I thought a lot of Pat Gallagher. He's the

0:16:06.840 --> 0:16:10.320
<v Speaker 1>chief executive officer of Gallagher Insurance. Joining Slive here on

0:16:10.360 --> 0:16:13.840
<v Speaker 1>a Bloomberg Interactive Brokers studio. Again, this is a large

0:16:14.160 --> 0:16:16.720
<v Speaker 1>insurance brokerage firm, so I have to make sure I

0:16:17.000 --> 0:16:19.520
<v Speaker 1>get that correct. Matt Palosol always on top of me

0:16:19.560 --> 0:16:21.720
<v Speaker 1>about that. But I'm just looking at the revenue. Ten

0:16:21.760 --> 0:16:24.239
<v Speaker 1>billion dollars of revenue, so it's just really extraordinary.

0:16:25.800 --> 0:16:29.640
<v Speaker 2>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:16:29.760 --> 0:16:32.840
<v Speaker 2>weekdays at ten am Eastern on fo card playing Android

0:16:32.880 --> 0:16:35.920
<v Speaker 2>outo with the Bloomberg Business app. Listen on demand wherever

0:16:36.040 --> 0:16:39.160
<v Speaker 2>you get your podcasts, or watch us live on YouTube.

0:16:40.520 --> 0:16:43.640
<v Speaker 1>All right, let's check in with guy. He's pretty good

0:16:43.680 --> 0:16:46.280
<v Speaker 1>on tech Space, He's okay, he's not bad. On Rock

0:16:46.320 --> 0:16:49.560
<v Speaker 1>run our senior technology anelsts for Bloomberg Intelligence. On Rock,

0:16:49.600 --> 0:16:51.840
<v Speaker 1>I was kind of paraphrasing what I think you're gonna

0:16:51.880 --> 0:16:55.760
<v Speaker 1>say about this report that you know their iPhone shipments

0:16:55.760 --> 0:16:57.920
<v Speaker 1>are up at gajillion percent here in the latest period.

0:16:58.640 --> 0:17:00.640
<v Speaker 1>But talk to us about this data coming out of China.

0:17:00.680 --> 0:17:04.240
<v Speaker 1>How reliable is it and how predictive is it? And

0:17:05.200 --> 0:17:07.239
<v Speaker 1>if it's up fifty percent in the latest period, why

0:17:07.359 --> 0:17:08.960
<v Speaker 1>isn't Apple stock up a lot more today?

0:17:10.040 --> 0:17:12.440
<v Speaker 3>Yes, that's a very good question, Paul, And again I

0:17:12.560 --> 0:17:14.920
<v Speaker 3>have nothing against the people who collect this data and

0:17:15.280 --> 0:17:17.840
<v Speaker 3>figure it out, but this is the way I looked

0:17:17.880 --> 0:17:20.320
<v Speaker 3>at it. In jan and Feb this data was down

0:17:20.400 --> 0:17:23.520
<v Speaker 3>I think minus thirty five minus forty percent or so,

0:17:24.119 --> 0:17:26.520
<v Speaker 3>and then when Apple reported their quarter, they said, you

0:17:26.600 --> 0:17:30.600
<v Speaker 3>know what, mainland China, our iPhone revenue grew. So there

0:17:30.680 --> 0:17:34.399
<v Speaker 3>is not that direct correlation between the two numbers. And

0:17:34.520 --> 0:17:37.600
<v Speaker 3>it could be because there are times when Apple you know,

0:17:37.840 --> 0:17:41.359
<v Speaker 3>sells phone, but it's stuck in the inventory channel in between.

0:17:41.680 --> 0:17:44.000
<v Speaker 3>Then they put out a sale and then gets cleared up.

0:17:44.160 --> 0:17:46.359
<v Speaker 3>So it's a question of timing not so much. But

0:17:46.480 --> 0:17:49.040
<v Speaker 3>the big thing for us is that there is there

0:17:49.280 --> 0:17:52.240
<v Speaker 3>was a downdraft of negative news coming out of China.

0:17:52.640 --> 0:17:55.120
<v Speaker 3>It's turned positive two months in a row, so that's

0:17:55.160 --> 0:17:58.240
<v Speaker 3>a good news. Seems more like a cyclical issue to me.

0:17:58.400 --> 0:18:02.119
<v Speaker 3>Than a structural problem people giving away Apple phones not

0:18:02.200 --> 0:18:03.920
<v Speaker 3>buying it, So that's not the case. So that's a

0:18:03.960 --> 0:18:06.640
<v Speaker 3>good news. So I think, you know, from an overall

0:18:06.680 --> 0:18:08.480
<v Speaker 3>point of sentiment point of view, I think this is

0:18:08.520 --> 0:18:11.560
<v Speaker 3>good news for Apple that China, which in our view

0:18:11.680 --> 0:18:14.280
<v Speaker 3>is the most important market for them over the next

0:18:14.320 --> 0:18:16.440
<v Speaker 3>three to five years, and we are not going to

0:18:16.480 --> 0:18:20.639
<v Speaker 3>see you know, let's say eurobar declining share. I think

0:18:20.720 --> 0:18:23.000
<v Speaker 3>it's it's going to be okay over the next few years,

0:18:23.119 --> 0:18:25.240
<v Speaker 3>even if it goes ups and down. So that's really

0:18:25.280 --> 0:18:27.000
<v Speaker 3>the big takeaway for us. DAR.

0:18:27.320 --> 0:18:31.520
<v Speaker 6>So can I call this a nothing burger? No, that's

0:18:31.640 --> 0:18:34.760
<v Speaker 6>not true because I say that because you didn't hear it.

0:18:34.800 --> 0:18:37.000
<v Speaker 6>But Paul was guessing you would call this data a

0:18:37.080 --> 0:18:39.040
<v Speaker 6>nothing burger. But you're being too polite about it.

0:18:39.119 --> 0:18:42.080
<v Speaker 3>I think done a wrong So sentiment vice think about it.

0:18:42.440 --> 0:18:44.720
<v Speaker 3>The only thing that we've been hearing for almost a

0:18:44.800 --> 0:18:47.480
<v Speaker 3>year now that people don't want to buy iPhones in China,

0:18:47.640 --> 0:18:50.600
<v Speaker 3>it's because of the government and nationalism and so many

0:18:50.680 --> 0:18:52.840
<v Speaker 3>all things. And I think this one tells us that's

0:18:52.880 --> 0:18:56.040
<v Speaker 3>not the case. People are strapped for cash and if

0:18:56.080 --> 0:18:58.000
<v Speaker 3>they get a good deal on a phone, they'll buy it.

0:18:58.160 --> 0:19:00.520
<v Speaker 3>So what do I expect. I expect Apple to go

0:19:00.640 --> 0:19:03.880
<v Speaker 3>out and do more promotional activities over the next few

0:19:03.960 --> 0:19:07.240
<v Speaker 3>months to try and sell more products into the market. Now,

0:19:07.320 --> 0:19:10.280
<v Speaker 3>not every market is different. Apple's not known to give

0:19:10.520 --> 0:19:12.959
<v Speaker 3>a lot of discounts globally, but if that's what they

0:19:13.000 --> 0:19:14.119
<v Speaker 3>have to do in China, that's what.

0:19:14.160 --> 0:19:16.280
<v Speaker 5>They have to do, all right, fair enough.

0:19:16.880 --> 0:19:18.440
<v Speaker 6>But let's go to the discounts though for a second.

0:19:18.640 --> 0:19:21.240
<v Speaker 6>So even if we don't say, take this data as gold,

0:19:21.280 --> 0:19:25.399
<v Speaker 6>but just directionally, Apple and discounts tend not to go together,

0:19:25.440 --> 0:19:27.680
<v Speaker 6>at least in my mind. What do you make of that?

0:19:28.920 --> 0:19:30.720
<v Speaker 3>Yeah, I think this is a new thing for Apple,

0:19:30.760 --> 0:19:33.399
<v Speaker 3>and again they're probably grinding their teeth and not liking it.

0:19:33.560 --> 0:19:35.080
<v Speaker 3>But you know what, they have the rest of the

0:19:35.119 --> 0:19:37.520
<v Speaker 3>world to make up for it. In the US, for example,

0:19:37.640 --> 0:19:40.200
<v Speaker 3>people are liking to buy the higher end model, the

0:19:40.280 --> 0:19:43.760
<v Speaker 3>pro model. That helps margins, that helps the adage selling price.

0:19:44.040 --> 0:19:45.720
<v Speaker 3>So if they have to give a little bit up

0:19:45.800 --> 0:19:48.160
<v Speaker 3>to gain market share in China, I think they should

0:19:48.200 --> 0:19:50.120
<v Speaker 3>do it because you don't want to be branded as

0:19:50.520 --> 0:19:53.639
<v Speaker 3>somebody a second player in China out there, which is

0:19:54.040 --> 0:19:56.359
<v Speaker 3>you know, in our view, the most important market for

0:19:56.520 --> 0:19:59.640
<v Speaker 3>growth for Apple. Otherwise what's going to happen is you're

0:19:59.640 --> 0:20:02.320
<v Speaker 3>not going to see any growth in China. For that matter,

0:20:02.520 --> 0:20:04.440
<v Speaker 3>their top line growth is not going to grow, and

0:20:04.600 --> 0:20:07.639
<v Speaker 3>that's not good for the stock. Also, and ra' talk to.

0:20:07.680 --> 0:20:10.600
<v Speaker 1>Us about India. What is it as a percentage of

0:20:10.640 --> 0:20:12.840
<v Speaker 1>Apple's business today and what do you think it can

0:20:12.880 --> 0:20:14.879
<v Speaker 1>be five, six, seven years from now.

0:20:15.680 --> 0:20:17.919
<v Speaker 3>Yeah, so in our view, apples very small, less than

0:20:17.960 --> 0:20:20.800
<v Speaker 3>five percent. In fact, when you we have done a

0:20:20.920 --> 0:20:23.399
<v Speaker 3>lot of work on the number of shipments in India,

0:20:24.119 --> 0:20:27.080
<v Speaker 3>Apple's market share is you know, less than five percent.

0:20:27.320 --> 0:20:30.639
<v Speaker 3>But here's the kicker. Ninety five percent of the phones

0:20:30.680 --> 0:20:33.960
<v Speaker 3>don't even qualify for to be in the Apples you

0:20:34.040 --> 0:20:37.160
<v Speaker 3>could say ecosystem, which means they're under three hundred dollars.

0:20:38.160 --> 0:20:41.440
<v Speaker 3>As the Indian economy grows, as the middle class becomes

0:20:41.520 --> 0:20:44.040
<v Speaker 3>more affluent, I think Apple's going to be a winner

0:20:44.080 --> 0:20:46.040
<v Speaker 3>over here. But think about it this way. When we

0:20:46.160 --> 0:20:48.440
<v Speaker 3>look at the US with per capita income of let's

0:20:48.440 --> 0:20:51.240
<v Speaker 3>say sixty five seventy thousand dollars, somewhere in that realm,

0:20:51.600 --> 0:20:54.080
<v Speaker 3>China is around twelve and a half thousand dollars. India

0:20:54.240 --> 0:20:56.680
<v Speaker 3>is about two thousand, twenty five hundred dollars. So when

0:20:56.760 --> 0:21:00.200
<v Speaker 3>you look at these three ecosystems, I think I think

0:21:00.359 --> 0:21:03.720
<v Speaker 3>when we look at that growth driver from five years onwards,

0:21:04.080 --> 0:21:06.320
<v Speaker 3>that's where you know, India comes in and there's a

0:21:06.400 --> 0:21:08.800
<v Speaker 3>massive market there for Apple. But that's not going to

0:21:08.880 --> 0:21:09.760
<v Speaker 3>happen next year or the.

0:21:09.760 --> 0:21:12.679
<v Speaker 6>Year after, right, that's sort of a structural change, et

0:21:12.720 --> 0:21:15.000
<v Speaker 6>cetera in the market. I don't round what else are

0:21:15.040 --> 0:21:16.000
<v Speaker 6>you working on right now?

0:21:17.119 --> 0:21:19.000
<v Speaker 3>I think the biggest thing right now is what happens

0:21:19.040 --> 0:21:21.840
<v Speaker 3>at WWDC and whether that's going to be enough to

0:21:21.920 --> 0:21:25.480
<v Speaker 3>sustain this. You know, I would say optimism that we

0:21:25.600 --> 0:21:27.760
<v Speaker 3>have seen in Apple for the first time, I would

0:21:27.760 --> 0:21:30.640
<v Speaker 3>say in the last eighteen months, because we all knew

0:21:30.720 --> 0:21:33.040
<v Speaker 3>China was a problem. We saw that in the numbers,

0:21:33.760 --> 0:21:37.280
<v Speaker 3>sales numbers and not very strong. But AI has that

0:21:37.480 --> 0:21:40.920
<v Speaker 3>outside potential to go out and spur the next sale

0:21:40.960 --> 0:21:44.280
<v Speaker 3>off phones. Why because there is a massive amount over

0:21:44.359 --> 0:21:47.480
<v Speaker 3>forty three percent of the phones our iPhone twelve and below,

0:21:47.600 --> 0:21:50.520
<v Speaker 3>which is old phones with lower you know, you could

0:21:50.520 --> 0:21:53.439
<v Speaker 3>say RAM, memory and other things. Now for if they

0:21:53.520 --> 0:21:55.920
<v Speaker 3>go out and say I have really cool features coming

0:21:56.000 --> 0:21:58.040
<v Speaker 3>into the phone, you got to go find a way

0:21:58.080 --> 0:22:00.840
<v Speaker 3>to upgrade it. Now, if some he has a fourteen

0:22:00.920 --> 0:22:03.280
<v Speaker 3>or a fifteen, they're most likely not going to upgrade it.

0:22:03.560 --> 0:22:05.280
<v Speaker 3>But if you have something and I can iPhone ten,

0:22:05.400 --> 0:22:07.879
<v Speaker 3>iPhone eleven, there may be a reason enough for you

0:22:07.960 --> 0:22:11.879
<v Speaker 3>to upgrade it. So that really brings a new fresh

0:22:12.400 --> 0:22:15.520
<v Speaker 3>you could say life and Apple, and that's really important.

0:22:15.560 --> 0:22:18.480
<v Speaker 3>On June tenth, when they get this developer conference.

0:22:18.600 --> 0:22:23.200
<v Speaker 1>All right, I'm sitting on an Apple iPhone eleven. When

0:22:23.240 --> 0:22:23.879
<v Speaker 1>do I upgrade?

0:22:24.880 --> 0:22:27.640
<v Speaker 3>You should update it in the winter when the sixteen

0:22:27.720 --> 0:22:30.000
<v Speaker 3>comes out or whatever the name they give that phone,

0:22:30.000 --> 0:22:33.080
<v Speaker 3>because it should have a faster processor, it should have

0:22:33.160 --> 0:22:35.840
<v Speaker 3>a lot more memory. They'll just make things easier for you.

0:22:35.960 --> 0:22:37.639
<v Speaker 3>You can watch your golf shows in a little bit

0:22:37.920 --> 0:22:38.480
<v Speaker 3>easier way.

0:22:38.880 --> 0:22:39.280
<v Speaker 2>Very good.

0:22:39.320 --> 0:22:41.639
<v Speaker 1>Now, Tim Cook's sixty three, I'm gonna s whitch gears

0:22:41.640 --> 0:22:44.000
<v Speaker 1>on you? Is there any push for this guy to

0:22:44.280 --> 0:22:47.920
<v Speaker 1>put out a succession plan of note or things just

0:22:48.000 --> 0:22:50.760
<v Speaker 1>going so well at Apple that nobody's pushing for that.

0:22:51.880 --> 0:22:55.520
<v Speaker 3>See, Tim's done well. The Apple's done very well under Tim.

0:22:56.040 --> 0:22:58.040
<v Speaker 3>I have no way of predicting what he's going to leave,

0:22:58.200 --> 0:23:01.639
<v Speaker 3>but I really I mean, in my view, if you

0:23:01.760 --> 0:23:06.320
<v Speaker 3>were to somehow ring fence the China business. Apple alone

0:23:06.480 --> 0:23:09.159
<v Speaker 3>is a company that I think, you know, can do

0:23:09.840 --> 0:23:12.240
<v Speaker 3>can do good by itself. It doesn't really need a

0:23:12.320 --> 0:23:15.439
<v Speaker 3>massive charismatic leader in order to you know, come up

0:23:15.480 --> 0:23:18.159
<v Speaker 3>with that. This is a company with a global brand,

0:23:18.280 --> 0:23:21.480
<v Speaker 3>the products people love, people trust the products, and the

0:23:21.600 --> 0:23:24.800
<v Speaker 3>install base is very loyal. I mean, we think somewhere

0:23:24.840 --> 0:23:27.359
<v Speaker 3>in the mid nineties people can keep the phones. They

0:23:27.400 --> 0:23:30.600
<v Speaker 3>don't go out and change into a new ecosystem. I

0:23:30.680 --> 0:23:34.639
<v Speaker 3>think this is a phenomenal business. But you know, you

0:23:34.800 --> 0:23:37.359
<v Speaker 3>do need certain innovation, but not to the level you

0:23:37.440 --> 0:23:39.120
<v Speaker 3>need in other technology companies now.

0:23:39.160 --> 0:23:40.480
<v Speaker 6>But I wonder if you just need a really good

0:23:40.640 --> 0:23:43.000
<v Speaker 6>China ambassador within that company.

0:23:44.119 --> 0:23:46.280
<v Speaker 3>Yeah, I mean Tim's has been. Tim has been an

0:23:46.320 --> 0:23:49.080
<v Speaker 3>amazing China ambassador. If you go back, even the days

0:23:49.119 --> 0:23:52.520
<v Speaker 3>when we had China Tarraff wars, Apple really you know,

0:23:52.720 --> 0:23:55.639
<v Speaker 3>skated unhurt from there. Now. The only issue we have

0:23:55.720 --> 0:23:57.720
<v Speaker 3>been having in the last two three years is supply

0:23:57.840 --> 0:24:00.680
<v Speaker 3>chain problems in China because of COVID. Then after that

0:24:00.880 --> 0:24:03.680
<v Speaker 3>the consumers slow down and then a little bit negative

0:24:03.800 --> 0:24:05.680
<v Speaker 3>you know, you could say fights between the US and

0:24:05.760 --> 0:24:08.960
<v Speaker 3>China and that has had an impact on Apple. But

0:24:09.119 --> 0:24:10.760
<v Speaker 3>you know, in our view, if there is there is

0:24:10.840 --> 0:24:13.800
<v Speaker 3>the way to ring fact that I would say risk.

0:24:14.480 --> 0:24:16.600
<v Speaker 3>You know, Apple, Apple is a good company to look.

0:24:16.480 --> 0:24:18.639
<v Speaker 1>At all right, Honro, thanks so much for joining us

0:24:18.640 --> 0:24:22.200
<v Speaker 1>on a rock run a senior technology anaels Bloomberg Intelligence.

0:24:22.320 --> 0:24:27.639
<v Speaker 1>Just looking at the FA function for Apple revenue, the

0:24:27.760 --> 0:24:31.640
<v Speaker 1>forecast for their September twenty fourth or fiscal twenty four

0:24:31.720 --> 0:24:34.720
<v Speaker 1>year three hundred and eighty seven billion dollars of revenue,

0:24:35.640 --> 0:24:38.720
<v Speaker 1>net income, one hundred and one billion dollars in free

0:24:38.840 --> 0:24:41.760
<v Speaker 1>cash flow of one hundred and four billion dollars.

0:24:41.880 --> 0:24:42.680
<v Speaker 3>Look a lot of money.

0:24:42.840 --> 0:24:44.280
<v Speaker 6>That's like they make a lot of money.

0:24:50.800 --> 0:24:54.640
<v Speaker 2>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:24:54.760 --> 0:24:57.680
<v Speaker 2>weekdays at ten am Eastern on Apple, card Play and

0:24:58.080 --> 0:25:01.040
<v Speaker 2>rout Auto with the Bloomberg Business. You can also listen

0:25:01.200 --> 0:25:04.280
<v Speaker 2>live on Amazon Alexa from our flagship New York station,

0:25:04.680 --> 0:25:07.400
<v Speaker 2>Just say Alexa play Bloomberg eleven thirty.

0:25:08.440 --> 0:25:10.920
<v Speaker 6>We also take a view of Bloomberg ne EF. It's

0:25:10.920 --> 0:25:15.560
<v Speaker 6>Bloomberg New Energy Finance. They're a research center within Bloomberg

0:25:15.680 --> 0:25:20.240
<v Speaker 6>that covers commodities, power, transport, industry, buildings, AG sectors, technology,

0:25:20.280 --> 0:25:23.639
<v Speaker 6>sustainable issues, all to help businesses and companies kind of

0:25:23.760 --> 0:25:26.120
<v Speaker 6>learn how they can transition as we move to net

0:25:26.240 --> 0:25:28.639
<v Speaker 6>zero at some point. And today we're going to take

0:25:28.640 --> 0:25:31.520
<v Speaker 6>a look at offshore wind here in the US. It's

0:25:31.560 --> 0:25:34.440
<v Speaker 6>been a real nightmare, particularly here on the East Coast.

0:25:34.520 --> 0:25:36.960
<v Speaker 6>In some ways it makes sense, big ocean, lots of wind.

0:25:37.000 --> 0:25:39.639
<v Speaker 6>Stick a turbine in there, boom you have renewable power.

0:25:40.000 --> 0:25:42.359
<v Speaker 6>The issue, though, is many of the issue has been

0:25:42.480 --> 0:25:45.600
<v Speaker 6>in pricing. The contracts that were signed didn't account for

0:25:45.680 --> 0:25:47.560
<v Speaker 6>the massive amount of inflation that we've seen in the

0:25:47.600 --> 0:25:49.359
<v Speaker 6>last couple of years, and a lot of projects have

0:25:49.480 --> 0:25:52.800
<v Speaker 6>then been canceled. So the question really is what happens now,

0:25:52.880 --> 0:25:56.520
<v Speaker 6>particularly as inflation comes down. Oliver metcalf is head of

0:25:56.600 --> 0:25:59.040
<v Speaker 6>Wind research at BNF and he joins US now in

0:25:59.080 --> 0:26:02.080
<v Speaker 6>the Interactive Brokers studio. Ali, thanks for joining me, appreciate

0:26:02.320 --> 0:26:04.760
<v Speaker 6>thanks for having me on. So I just sort of

0:26:04.800 --> 0:26:08.240
<v Speaker 6>set up with the problem was where are we now

0:26:08.480 --> 0:26:08.720
<v Speaker 6>with that?

0:26:10.240 --> 0:26:12.520
<v Speaker 7>Well, it's been a difficult last twelve months for the

0:26:12.640 --> 0:26:15.800
<v Speaker 7>US off your wind industry. We saw around nine gigawatts

0:26:15.920 --> 0:26:18.800
<v Speaker 7>of off take contracts, so contracts for the generation of

0:26:18.840 --> 0:26:21.680
<v Speaker 7>these projects get canceled. That's around a third of the

0:26:21.800 --> 0:26:24.159
<v Speaker 7>contracts that were signed in total for the US off

0:26:24.240 --> 0:26:26.879
<v Speaker 7>your Wind pipeline. You mentioned there it was because the

0:26:26.960 --> 0:26:30.320
<v Speaker 7>high inflation, high interest rates have really hit the technology

0:26:30.359 --> 0:26:34.480
<v Speaker 7>as well. So it's a really capitally intensive technology and

0:26:34.680 --> 0:26:37.040
<v Speaker 7>so a higher cost of financing hits off your Wind

0:26:37.160 --> 0:26:41.160
<v Speaker 7>especially hard compared with other technologies. We're beginning to see

0:26:41.160 --> 0:26:43.920
<v Speaker 7>a bit of a turning of the fortunes. So we're

0:26:43.960 --> 0:26:47.200
<v Speaker 7>seeing the first couple of commercial scale off your wind

0:26:47.240 --> 0:26:49.520
<v Speaker 7>projects start to come online in the US. One has

0:26:49.520 --> 0:26:51.960
<v Speaker 7>already come online off the coast of New York, and

0:26:52.040 --> 0:26:55.080
<v Speaker 7>one that will feed Parento Massachusetts is under construction at

0:26:55.080 --> 0:26:58.120
<v Speaker 7>the moment. So some good stories beginning. And we're also

0:26:58.200 --> 0:27:01.679
<v Speaker 7>seeing states willing to adjust this obvioslete mechanisms to account

0:27:01.720 --> 0:27:04.040
<v Speaker 7>for some of the pain that projects have been feeling recently.

0:27:04.520 --> 0:27:08.680
<v Speaker 7>So offer developers more protection in the contracts they off take,

0:27:08.720 --> 0:27:11.760
<v Speaker 7>contracts they're offering, and just simply higher prices that these

0:27:11.840 --> 0:27:13.720
<v Speaker 7>these developers need to make their return.

0:27:14.200 --> 0:27:16.879
<v Speaker 1>So talk to us about just wind research. How is

0:27:16.960 --> 0:27:21.040
<v Speaker 1>wind I'm sorry, wind power? How is that from an

0:27:21.040 --> 0:27:25.800
<v Speaker 1>efficiency perspective versus solar and versus other stuff that's out there.

0:27:25.880 --> 0:27:27.880
<v Speaker 1>How competitors is wind.

0:27:28.520 --> 0:27:30.880
<v Speaker 7>So you get kind of higher productivity from a wind

0:27:30.920 --> 0:27:35.200
<v Speaker 7>turbine compared with a solar panel and that and that's

0:27:35.200 --> 0:27:38.280
<v Speaker 7>even more productive offshore, and so offshore wind you have

0:27:38.400 --> 0:27:41.960
<v Speaker 7>more consistent, more consistent wind speeds, stronger winds as well.

0:27:42.480 --> 0:27:44.840
<v Speaker 7>So that means kind of if you imagine a wind

0:27:44.880 --> 0:27:47.159
<v Speaker 7>turbine operating one hundred percent of the time, that's kind

0:27:47.160 --> 0:27:50.600
<v Speaker 7>of the theoretical maximum. You can get between forty to

0:27:50.720 --> 0:27:54.960
<v Speaker 7>sixty percent of that generation typically on a wind project.

0:27:55.440 --> 0:27:58.000
<v Speaker 7>Now that sixty percent isn't too far off the kind

0:27:58.040 --> 0:28:01.800
<v Speaker 7>of percentage we could see from a kind of conventional generator,

0:28:02.080 --> 0:28:03.359
<v Speaker 7>a gas or a cold plant.

0:28:03.840 --> 0:28:06.119
<v Speaker 6>Oh really, what about like nuclear? It's a nuclear a

0:28:06.200 --> 0:28:06.800
<v Speaker 6>lot better than that.

0:28:07.160 --> 0:28:09.200
<v Speaker 7>Nuclear is much harder to ramp up and down, and

0:28:09.320 --> 0:28:12.080
<v Speaker 7>so they tend to operate completely as base loads. So

0:28:12.160 --> 0:28:15.080
<v Speaker 7>you get really high what we call capacity factors for nuclear.

0:28:15.160 --> 0:28:17.080
<v Speaker 7>So it's operating almost all the time if it's if

0:28:17.080 --> 0:28:17.840
<v Speaker 7>it's part of the mix.

0:28:18.080 --> 0:28:20.720
<v Speaker 6>So you mentioned so part of the issue is the

0:28:21.040 --> 0:28:24.240
<v Speaker 6>off take contract. So basically, if I'm a developer, you know,

0:28:24.400 --> 0:28:26.440
<v Speaker 6>Paul goes and says, okay, I'm gonna buy this win

0:28:26.520 --> 0:28:28.080
<v Speaker 6>from you for this amount of time. He's going to

0:28:28.119 --> 0:28:29.959
<v Speaker 6>pay me this, which gives me clarity on the how

0:28:30.000 --> 0:28:32.240
<v Speaker 6>I can go and invest that money. But my costs

0:28:32.280 --> 0:28:35.119
<v Speaker 6>go up and I'm kind of left naked at that point.

0:28:35.760 --> 0:28:38.880
<v Speaker 6>How is that being resolved? You mentioned subsidies, but like

0:28:39.160 --> 0:28:42.080
<v Speaker 6>what else? Because that gap is very unpredictable. And I

0:28:42.120 --> 0:28:45.880
<v Speaker 6>remember talking to Siemens North America ahead about that and

0:28:45.920 --> 0:28:48.200
<v Speaker 6>they're like, we took on all the commodity risk and

0:28:48.240 --> 0:28:51.320
<v Speaker 6>they're trying to change that now because they're not commodity traders.

0:28:51.040 --> 0:28:51.960
<v Speaker 3>But like, how do you do that?

0:28:52.480 --> 0:28:52.600
<v Speaker 4>Well?

0:28:52.680 --> 0:28:56.280
<v Speaker 7>Yeah, that is that unpredictability that hit developers especially hard.

0:28:56.840 --> 0:28:59.600
<v Speaker 7>So in the previous contracts, there's ones I was talking

0:28:59.600 --> 0:29:02.760
<v Speaker 7>about the got canceled. There was very little adjustment in

0:29:02.840 --> 0:29:05.760
<v Speaker 7>the contract price to account for moving commodity prices to

0:29:05.800 --> 0:29:08.400
<v Speaker 7>account for inflation. So that's the kind of thing that

0:29:08.480 --> 0:29:11.600
<v Speaker 7>states are building into these contracts now to kind of

0:29:11.640 --> 0:29:14.400
<v Speaker 7>better share the risk between a state which is buying

0:29:14.440 --> 0:29:18.320
<v Speaker 7>the power and the developer that's building the project. So

0:29:18.520 --> 0:29:22.400
<v Speaker 7>we're seeing kind of these prices getting index to CPI

0:29:22.600 --> 0:29:26.280
<v Speaker 7>for example, to certain kind of producer price indexes and

0:29:26.360 --> 0:29:29.640
<v Speaker 7>to certain commodity prices to make sometimes a one time

0:29:29.680 --> 0:29:31.560
<v Speaker 7>adjustment from when you agree to that price to when

0:29:31.600 --> 0:29:36.560
<v Speaker 7>you're actually securing finance, and sometimes you see that adjustments

0:29:36.600 --> 0:29:38.600
<v Speaker 7>accounting for inflation right throughout the life.

0:29:38.440 --> 0:29:39.920
<v Speaker 3>Of the project. That's interesting.

0:29:40.200 --> 0:29:41.800
<v Speaker 7>That's the kind of structure we see in lots of

0:29:41.880 --> 0:29:44.400
<v Speaker 7>other countries that have managed to build large scale off

0:29:44.480 --> 0:29:48.200
<v Speaker 7>your wind projects globally, and so yeah, from the off

0:29:48.240 --> 0:29:51.080
<v Speaker 7>your wind industry's perspective, it's good to see that happening

0:29:51.120 --> 0:29:51.880
<v Speaker 7>in the US as well.

0:29:52.280 --> 0:29:54.800
<v Speaker 1>Talk to us about you mentioned the project off the

0:29:54.840 --> 0:29:57.360
<v Speaker 1>coast of New York. Talk to us about the economics.

0:29:57.400 --> 0:29:59.920
<v Speaker 1>How much does it cost to build that thing? Hoop

0:30:00.080 --> 0:30:02.720
<v Speaker 1>hate for it, and just the economics.

0:30:03.720 --> 0:30:07.120
<v Speaker 7>So that is a project called South Fork. It was

0:30:07.240 --> 0:30:11.000
<v Speaker 7>the kind of the first commercial scale offshore wind project

0:30:11.040 --> 0:30:14.720
<v Speaker 7>in the US that was significantly more expensive than a

0:30:14.800 --> 0:30:19.160
<v Speaker 7>project we expect to see getting installed today. That's partly

0:30:19.240 --> 0:30:21.560
<v Speaker 7>because it was it was almost like a proof of concept.

0:30:21.680 --> 0:30:24.840
<v Speaker 7>So up until then, there are only seven operational offshore

0:30:24.880 --> 0:30:27.080
<v Speaker 7>wind turbines off the coast of the US so far.

0:30:27.720 --> 0:30:30.040
<v Speaker 7>So this is the first kind of larger scale project

0:30:30.720 --> 0:30:34.400
<v Speaker 7>for one of the newer projects you're probably looking between

0:30:34.440 --> 0:30:36.959
<v Speaker 7>two point eight to three billion dollars for a one

0:30:37.000 --> 0:30:39.480
<v Speaker 7>gigawap project, which is a really big off your wind firm,

0:30:40.240 --> 0:30:42.680
<v Speaker 7>almost ten times the size of that early kind of

0:30:42.720 --> 0:30:45.600
<v Speaker 7>commercial scale project that just came off the coast of

0:30:45.840 --> 0:30:49.640
<v Speaker 7>New York. So these are a really sizeable infrastructure investments.

0:30:49.720 --> 0:30:54.360
<v Speaker 6>Yeah, what part is the hardest? Because it seems to

0:30:54.440 --> 0:30:58.200
<v Speaker 6>me that you know, moving the energy from offshore to

0:30:58.440 --> 0:31:01.160
<v Speaker 6>the grid on land, like you kind of like build

0:31:01.200 --> 0:31:03.880
<v Speaker 6>a transmission line for that, Like that seems really hard

0:31:03.920 --> 0:31:07.480
<v Speaker 6>and dangerous. And then I also hear of the transmission

0:31:07.600 --> 0:31:10.560
<v Speaker 6>plug shortages, so basically the thing you need to actually

0:31:10.760 --> 0:31:13.640
<v Speaker 6>plug that wind into the grid, there's a shortage of that,

0:31:14.000 --> 0:31:15.240
<v Speaker 6>and then you've got to build it. And there's all

0:31:15.240 --> 0:31:17.920
<v Speaker 6>the raw material costs that come at actually building the turbine.

0:31:18.160 --> 0:31:20.240
<v Speaker 6>Where's the biggest price increases?

0:31:21.720 --> 0:31:24.560
<v Speaker 7>Well, I mean we saw a lot of price increases

0:31:24.600 --> 0:31:27.720
<v Speaker 7>across the board over the last couple of years. Actually,

0:31:27.720 --> 0:31:29.280
<v Speaker 7>when you look at a lot of commodity prices that

0:31:29.320 --> 0:31:33.200
<v Speaker 7>are important for manufacturing of wind turbines, cables, that kind

0:31:33.200 --> 0:31:34.960
<v Speaker 7>of thing, a lot of those raw material costs have

0:31:35.040 --> 0:31:38.000
<v Speaker 7>come down. What we've seen is turbine prices have remained

0:31:38.000 --> 0:31:42.080
<v Speaker 7>stubbornly high. Wind turbine makers were hit just as hard

0:31:42.160 --> 0:31:45.640
<v Speaker 7>by rising costs, rising inflation, and many of them were

0:31:45.680 --> 0:31:49.160
<v Speaker 7>having to deliver on contracts said signed at cheaper rates

0:31:49.560 --> 0:31:52.080
<v Speaker 7>in this higher priced environment. So that means many of

0:31:52.280 --> 0:31:54.480
<v Speaker 7>the kind of major wind turbine makers have suffered a

0:31:54.520 --> 0:31:57.160
<v Speaker 7>lot over the last couple of years, and so they're

0:31:57.240 --> 0:32:00.440
<v Speaker 7>maintaining higher prices to kind of have a bit of

0:32:00.480 --> 0:32:04.040
<v Speaker 7>a buffer on their margin, trying to regain kind of

0:32:04.200 --> 0:32:07.480
<v Speaker 7>stronger margins. But that means that developers are left paying

0:32:07.600 --> 0:32:09.800
<v Speaker 7>higher prices for the turbines despite the fact that some

0:32:09.920 --> 0:32:11.680
<v Speaker 7>of these input costs have started coming down.

0:32:12.000 --> 0:32:15.640
<v Speaker 1>Who makes these big tribune things in the ocean, So.

0:32:15.920 --> 0:32:21.040
<v Speaker 7>That's companies like Vestas Seamen's Energy. Ge is a big

0:32:21.200 --> 0:32:28.640
<v Speaker 7>US player and so those I recently spun out. I

0:32:28.680 --> 0:32:31.000
<v Speaker 7>mean so also it is one of the one of

0:32:31.040 --> 0:32:33.840
<v Speaker 7>the companies that builds builds the project, so one of

0:32:33.880 --> 0:32:36.480
<v Speaker 7>the biggest project developers globally. But there'll be the guys

0:32:36.520 --> 0:32:39.520
<v Speaker 7>putting in the orders with your likes of Vestas Gemen.

0:32:40.760 --> 0:32:42.959
<v Speaker 1>I mean, how do you build these things? I mean,

0:32:43.000 --> 0:32:43.959
<v Speaker 1>how do you install them?

0:32:45.000 --> 0:32:47.040
<v Speaker 3>Difficulty difficult. It's tough.

0:32:47.360 --> 0:32:49.880
<v Speaker 1>Build them on land, ship them out there, then just

0:32:50.240 --> 0:32:52.320
<v Speaker 1>plug them in the sand. I mean, how does this work?

0:32:52.600 --> 0:32:55.160
<v Speaker 7>So most of what's getting built at the moment is

0:32:55.200 --> 0:32:57.320
<v Speaker 7>bottom fixed off your wind. So you go out there,

0:32:57.600 --> 0:33:00.080
<v Speaker 7>you build a foundation that's fixed to the seabed, and

0:33:00.120 --> 0:33:01.720
<v Speaker 7>then you come out and you build the turbine on

0:33:01.760 --> 0:33:03.640
<v Speaker 7>top of that. So you build up the tower and

0:33:03.720 --> 0:33:06.760
<v Speaker 7>then component by component kind of build the big fan.

0:33:06.720 --> 0:33:08.720
<v Speaker 3>You can see at the top, I know.

0:33:09.240 --> 0:33:11.640
<v Speaker 6>And then also how do you then that question is

0:33:11.720 --> 0:33:14.840
<v Speaker 6>like if something happens and it gets broken, like how

0:33:14.880 --> 0:33:16.480
<v Speaker 6>do you fix it? Like what's it like when you

0:33:16.600 --> 0:33:18.640
<v Speaker 6>go off shore? I mean, what happens when one of

0:33:18.680 --> 0:33:21.560
<v Speaker 6>these things dies? Just like what's the shelf life of

0:33:21.640 --> 0:33:23.280
<v Speaker 6>a turbine? And how do you recycle it?

0:33:23.320 --> 0:33:24.120
<v Speaker 5>I don't, we haven't.

0:33:24.160 --> 0:33:25.080
<v Speaker 3>We don't know that yet.

0:33:25.280 --> 0:33:28.120
<v Speaker 7>Yeah, well, well going to your question on what happens

0:33:28.120 --> 0:33:30.520
<v Speaker 7>when it goes wrong or how you construct it. You

0:33:30.640 --> 0:33:33.400
<v Speaker 7>need really specialized vessels to build these things. So they

0:33:33.440 --> 0:33:35.920
<v Speaker 7>call them jack up vessels. So their vessels that kind

0:33:35.920 --> 0:33:39.560
<v Speaker 7>of have legs that they they extend down into the seabed.

0:33:40.200 --> 0:33:42.680
<v Speaker 7>Jacks up the vessels, So it's sitting kind of above

0:33:42.760 --> 0:33:45.160
<v Speaker 7>the water, so you've got a solid platform by which

0:33:45.200 --> 0:33:47.280
<v Speaker 7>to install the components, or if something goes wrong, to

0:33:47.920 --> 0:33:49.920
<v Speaker 7>send it out there, take off one of the components

0:33:49.960 --> 0:33:53.080
<v Speaker 7>and replace it with a fixed one. But these are

0:33:53.120 --> 0:33:55.520
<v Speaker 7>really specialized vessels. They cost a lot of money to build.

0:33:55.720 --> 0:33:58.280
<v Speaker 7>Our estimates around three hundred to five hundred million dollars,

0:33:59.120 --> 0:34:01.040
<v Speaker 7>and there's a shortage of these things globally at the

0:34:01.040 --> 0:34:04.960
<v Speaker 7>moment to kind of specialized vessels to install the foundations

0:34:05.000 --> 0:34:07.520
<v Speaker 7>and then and then the turbines. So if you're a developer,

0:34:07.560 --> 0:34:10.360
<v Speaker 7>you're struggling to find those slots where you can secure vessels.

0:34:11.040 --> 0:34:13.680
<v Speaker 7>And if something goes wrong on a recently installed project

0:34:13.719 --> 0:34:16.759
<v Speaker 7>with one of these big, big new turbines, then you

0:34:16.880 --> 0:34:19.200
<v Speaker 7>might struggle to get a vessel to come in and

0:34:19.280 --> 0:34:20.600
<v Speaker 7>do that, do that replacement work.

0:34:20.840 --> 0:34:23.399
<v Speaker 1>Oh cool, Yeah, I mean those engineer people, I don't

0:34:23.480 --> 0:34:24.400
<v Speaker 1>understand them. They're different.

0:34:24.440 --> 0:34:26.560
<v Speaker 6>I mean, it's amazing. Yeah, that's amazing, and we think

0:34:26.560 --> 0:34:29.680
<v Speaker 6>it's all such an easy fix and it's most definitely not. Ali.

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<v Speaker 6>Thanks a lot, Ali, Markalf he's joining us head of

0:34:31.920 --> 0:34:35.399
<v Speaker 6>win research over at you know those super interesting Thank

0:34:35.440 --> 0:34:35.920
<v Speaker 6>you so much.

0:34:36.280 --> 0:34:40.879
<v Speaker 2>This is the Bloomberg Intelligence Podcast, available on Apples, Boda Pie,

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