WEBVTT - Arm’s Reduced IPO and Huawei's New Phone

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<v Speaker 1>From Marhard where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hide

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<v Speaker 1>and Ed Ludlow.

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<v Speaker 2>And Caroline Heide of Bloomberg's Weld headquarters in New.

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<v Speaker 3>York and Amed Ludlow in San Francisco. This is Bloomberg

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<v Speaker 3>Technology coming up.

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<v Speaker 2>ARM kicks off its IPO roadshow seeking nearly five million dollars,

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<v Speaker 2>but will break down why the offering could be significantly

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<v Speaker 2>smaller than previously targeted.

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<v Speaker 3>Plus will take a look inside Huawei's new phone, which

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<v Speaker 3>holds the most advanced chip made in China yet. This

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<v Speaker 3>is the country seats sarras of forty billion dollar fund

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<v Speaker 3>to bankroll investments in domestic chip making and research, and.

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<v Speaker 2>How digital regulation in the EU is impacting America's techture.

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<v Speaker 2>Mid the forthcoming Digital Markets Act or bring you the

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<v Speaker 2>details of what is going to be unveiled in terms

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<v Speaker 2>of those gatekeepers as soon as tomorrow. But first that's

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<v Speaker 2>check in on these markets and some of the big

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<v Speaker 2>US players not managing to lift the Nasdaq all that

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<v Speaker 2>much today. We're actually down, my bad a tenth of

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<v Speaker 2>a percent. Look, it's the back to school feeling but

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<v Speaker 2>we're also getting our reality check on what is a

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<v Speaker 2>macro picture that is pretty ugly over in China is

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<v Speaker 2>pretty ugly over in Europe.

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<v Speaker 4>When you look at the PMI.

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<v Speaker 2>Data, the tenure yield just rising after of course a

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<v Speaker 2>day of rest and play that we had on Monday.

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<v Speaker 2>In the US trading action, we're maybe perhaps you picking

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<v Speaker 2>up a little bit as we see more investment grade

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<v Speaker 2>bonds coming to the market. Of course that back to

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<v Speaker 2>school feeling means we're.

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<v Speaker 4>Going to get a ton of issuance.

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<v Speaker 2>I'm looking at the Bloomberg Dollar Index, so this is

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<v Speaker 2>really the asset class to be watching at the moment.

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<v Speaker 2>Dollar pressured higher at the moment. Is this just trying

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<v Speaker 2>to find some sort of well, more safety in the

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<v Speaker 2>current macro picture. Is this also that the Federal Reserve

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<v Speaker 2>is going to be keeping higher rates for longer visa

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<v Speaker 2>vi the rest of the world when the US economy

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<v Speaker 2>just manages to navigate a downturn for the rest of

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<v Speaker 2>the world. We look at what's happening in terms of bitcoin. Therefore,

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<v Speaker 2>on the lower side, when you see the dollar outperform,

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<v Speaker 2>we just found that about a third of a overall

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<v Speaker 2>twenty five hundred is where we traded.

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<v Speaker 4>But get into minittigritty the individual movers.

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<v Speaker 3>Yeah, you and I were talking this morning about how

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<v Speaker 3>there's not that much action in the technology sector.

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<v Speaker 5>There are a few individual names.

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<v Speaker 3>Airbnb up six point seven percent best performer on the

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<v Speaker 3>Nazda one hundred, hy news that it's going to be

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<v Speaker 3>included in the s and P five hundred. That driving

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<v Speaker 3>that single name. How we tease Huawei, We're going to

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<v Speaker 3>bring you something fascinating, an official tear down of the

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<v Speaker 3>Mate sixty pro. One mover to the downside is the

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<v Speaker 3>ADRs of Jaomi. The theory being that if Huawei gains

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<v Speaker 3>market share in the domestic smartphone market, itlbeit at Shaomi's

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<v Speaker 3>expense in Nvidia a little bit lower. Moving to the downside,

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<v Speaker 3>we're gonna have a really interesting conversation you and I

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<v Speaker 3>Caroline about in Nvidia's valuation and one voice who says

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<v Speaker 3>it's getting a little bit extreme and overdone. The main

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<v Speaker 3>story I would say in Tuesday's morning, remember we're coming

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<v Speaker 3>off long weekend, is arms IPO. We got that F

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<v Speaker 3>one filing, and here are the numbers on the low end,

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<v Speaker 3>forty seven dollars a share. At the high end fifth

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<v Speaker 3>fey one dollars a share, raising four point eight seven

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<v Speaker 3>billion dollars in terms of proceeds from an IPO. This

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<v Speaker 3>is the early stages, but these are much lower numbers

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<v Speaker 3>than have been reported out there. Let's bring in Bloomberg's

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<v Speaker 3>Leanna Baker, who leads our deals coverage out of New York,

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<v Speaker 3>and Leanna walk us through the numbers and what we've

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<v Speaker 3>learned in this kind of opening foray of the road

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<v Speaker 3>show week.

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<v Speaker 6>The numbers, as you mentioned, came in a little below

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<v Speaker 6>what had earlier been reported. ARM had been looking to raise.

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<v Speaker 6>At one point we had reported eight to ten billion.

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<v Speaker 6>That has been scaled back a bit. You mentioned that

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<v Speaker 6>we could still see it go up. The road show

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<v Speaker 6>is just starting. There could be great demand, for all

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<v Speaker 6>we know, for these shares, and we could see them

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<v Speaker 6>raise the range. That's definitely possible. That said, SoftBank has

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<v Speaker 6>kind of scaled back the amount that they want to sell.

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<v Speaker 6>Nasayoshi Sowne, the CEO and founder of SoftBank, is very

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<v Speaker 6>bullish on ARM. He doesn't want to get rid of

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<v Speaker 6>the whole thing. They're only selling ten percent in the IPO,

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<v Speaker 6>so that's one of the reasons why the company is

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<v Speaker 6>not looking to raise as much as they had thought,

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<v Speaker 6>and because they're not looking to raise as much, the

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<v Speaker 6>valuation is a little lower. It's still a behemoth though.

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<v Speaker 6>This is a company according to the filing that'll be

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<v Speaker 6>valued at close to fifty five billion, So it's definitely

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<v Speaker 6>sort of the first big elephant out of the gate

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<v Speaker 6>to get the IPO markets moving again.

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<v Speaker 4>Yeah. Boy, we are excited on it, so to perhaps some.

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<v Speaker 2>Of the m zoned customers that are coming in as

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<v Speaker 2>integraled investors in the IPO. But if there are going

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<v Speaker 2>to be any flies in the ointment, what are they?

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<v Speaker 4>What are all the questions on the road show going

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<v Speaker 4>to be about.

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<v Speaker 6>There's definitely questions about arms path forward. They've changed their

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<v Speaker 6>business model a bit. They're trying to get into the

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<v Speaker 6>more lucrative data center and computing, not a fully away

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<v Speaker 6>from mobile mobiles. Their roots, and they're ubiquitous with all

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<v Speaker 6>their customers, many of whom you mentioned are participating in

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<v Speaker 6>the IPO, like Apple and AMD and others. But will

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<v Speaker 6>the company be able to fully change its business model

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<v Speaker 6>to spark growth. That's the question investors will want to see,

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<v Speaker 6>especially the ones who had invested when I got taken

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<v Speaker 6>private in twenty sixteen, will they be back and what's

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<v Speaker 6>the path forward?

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<v Speaker 2>We got someone to talk about those key questions with

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<v Speaker 2>Leanna Baker. Great setup, She's got some busy weeks coming up. Meanwhile,

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<v Speaker 2>let's extend this conversation. Piever goes with us unless they

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<v Speaker 2>wrote new Street research, and it feels to me, Pierre,

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<v Speaker 2>A key question on everyone's lips is exposure to China,

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<v Speaker 2>particularly when we have the macro data coming in thick

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<v Speaker 2>and fast.

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<v Speaker 4>That's on the weaker side.

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<v Speaker 7>Yes, you know, as a rule of sum, the semiconical

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<v Speaker 7>industries exposed twenty to twenty five percent to domestic China.

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<v Speaker 7>And guess what ARM that is really almost everywhere it's

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<v Speaker 7>only going to judge is exposed about the same to China.

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<v Speaker 1>So twenty twenty five percenter provenues.

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<v Speaker 7>People talk a lot about it because the setup is

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<v Speaker 7>very specific for Armed. They have like a subsidiary in

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<v Speaker 7>China as they've gun control and that's their only Chinese client.

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<v Speaker 7>So all companies in China who want to use ARM

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<v Speaker 7>technology license that technology is their It have a copyright

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<v Speaker 7>license on their on their instructions set have to go

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<v Speaker 7>through this local ARM company. It has created some difficulties

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<v Speaker 7>in the past because there is lack of control, lack

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<v Speaker 7>of you know, auditing of the company, but it's it's

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<v Speaker 7>relatively minor and in my view, at the end of

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<v Speaker 7>the day, as long as China wants to use them

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<v Speaker 7>and needs ARM, ARMS business in China is going to

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<v Speaker 7>do good. But of course, you know, you know what

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<v Speaker 7>the situation is, China wants to grow more independent from

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<v Speaker 7>the West and that's going to be a headwind for

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<v Speaker 7>ARM in my view, very slow, very non very limitted

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<v Speaker 7>impact from how you think about the valuation of the

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<v Speaker 7>business today.

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<v Speaker 2>Okay, so tell us how you're thinking about the valuation.

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<v Speaker 4>What sort of number are you looking at? What vindicates it?

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<v Speaker 7>Yeah, so it is an interesting business, but they span

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<v Speaker 7>out of money on reception and development. They come up

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<v Speaker 7>with great architectures. That's also a standard. The whole industry

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<v Speaker 7>is using it. So that's really the takes everybody wants

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<v Speaker 7>to use and then clients pay a license fee to

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<v Speaker 7>ARM to get the right to start working on their

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<v Speaker 7>IP and then they pay royalties once they produce chips

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<v Speaker 7>that contain ARMS technology, and so this royalty is really

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<v Speaker 7>to me today they are not all profits because ARM

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<v Speaker 7>has been very investing in their operations to build this

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<v Speaker 7>base of IP, but going forward, royalties are pure profits.

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<v Speaker 1>So I like to look up ARM and that's what

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<v Speaker 1>I've been doing.

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<v Speaker 7>You know, when the stock was listed for twenty and

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<v Speaker 7>sixteen as multiple royalties, you see that over time. It's

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<v Speaker 7>a very relevant metric that is stable. It reflects very

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<v Speaker 7>well as the gross outlook of the company, and it

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<v Speaker 7>has historically, like just before the acquisition by Stops Bank,

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<v Speaker 7>it was trading on six terms higher than the SUCKS

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<v Speaker 7>And so that's the kind of valuation I'm looking at today.

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<v Speaker 1>So I'm looking at twenty twenty twenty seven.

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<v Speaker 7>Revenues for ARM as we modeled them, and I look

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<v Speaker 7>at twenty seven times that, So that gives me like

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<v Speaker 7>an eighty two billion dollar valuation in as you enter

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<v Speaker 7>into twenty twenty six.

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<v Speaker 1>So I find the valuation.

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<v Speaker 7>Range today fifty to fifty four billion, very very attractive.

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<v Speaker 7>It gives you like an opportunity to see you know,

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<v Speaker 7>twenty percent pounds of return on up to twenty percent

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<v Speaker 7>pound in return.

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<v Speaker 1>On the name between now and the beginning of twenty twenty.

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<v Speaker 3>Six, twenty twenty six. It's interesting because I'm fascinated by

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<v Speaker 3>the mechanics of this. You write in your notes that

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<v Speaker 3>the range forty seven to fifty one dollars is attractive

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<v Speaker 3>to investors new investors taking advantage of the IPO. But

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<v Speaker 3>all told, soft bank is going to hold on to

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<v Speaker 3>ninety percent of this company.

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<v Speaker 7>Why well, because you know so two reasons. The first one,

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<v Speaker 7>so bank c is in the name, probably even more websites.

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<v Speaker 7>And I see the MASSA is very very goodish on

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<v Speaker 7>Armed future.

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<v Speaker 1>So for soft.

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<v Speaker 7>Burd it's not a matter of getting rid of ARM

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<v Speaker 7>of like making a profit on ARM.

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<v Speaker 1>It's more a matter of, you know, after five years.

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<v Speaker 7>As a private company, the company has tried a lot

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<v Speaker 7>of things, have made a lot of investments, some of

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<v Speaker 7>them have worked well, some of them have worked less well.

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<v Speaker 7>And now Armies at a point in time where becoming

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<v Speaker 7>a listed company again makes a lot of sense of

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<v Speaker 7>the company in terms of, you know, being successful, attracting talent,

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<v Speaker 7>creating the right you know, like government setup and management

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<v Speaker 7>set up. Being a listed company brings a lot of

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<v Speaker 7>advantages to ARM and I think it's a very good

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<v Speaker 7>timing to do that. And then for soft Bang there

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<v Speaker 7>it is not in my understanding to exist, but more

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<v Speaker 7>to have ARM as an additional very liquid asset and

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<v Speaker 7>an asset on which seven can leverage to actually raise

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<v Speaker 7>money for further investments.

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<v Speaker 1>So that's really the way I think about it.

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<v Speaker 7>So I don't expect, yes, you know something, to to

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<v Speaker 7>lower their share, to lower their their stake in ARM

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<v Speaker 7>an soon.

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<v Speaker 1>Yeah.

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<v Speaker 3>The great fun of a traditional I PO is that

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<v Speaker 3>it gives the company an opportunity to tell a story

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<v Speaker 3>about themselves right to the world. And the story that

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<v Speaker 3>ARM wants to tell is that they are relevant for AI.

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<v Speaker 3>They are going to do great with all of the

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<v Speaker 3>R and D and CAPEX going into AI. Do you

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<v Speaker 3>buy that story?

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<v Speaker 7>Yes, yes I do, but you have to be very

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<v Speaker 7>different understand its way. I like to quantify that as

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<v Speaker 7>a very like an AI diversification.

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<v Speaker 1>Yes, almost everything that is going to grow.

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<v Speaker 7>ARMS revenues right into revenues as like fire, is going

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<v Speaker 7>to be related to AI. So from that perspective, I

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<v Speaker 7>do agree with your statements. But interestingly, all the AI

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<v Speaker 7>ARM is going to get exposed to is not like

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<v Speaker 7>the AI clusters that receiving world out today, like the

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<v Speaker 7>NDDR or TPU.

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<v Speaker 1>Based AI clusters.

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<v Speaker 7>In that part of AI ARM as actually very very

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<v Speaker 7>little is any exposure. But in your mobile phone you

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<v Speaker 7>need larger ships, you need ships with better IP so

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<v Speaker 7>that the chip can better deal with AI models and

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<v Speaker 7>with all these services that are built on AI, and

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<v Speaker 7>ARM is actually bringing to the market a lot of

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<v Speaker 7>innovation that is very relevant to that, and in particular,

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<v Speaker 7>the number one driver of pricing power for ARM other

0:11:37.760 --> 0:11:39.840
<v Speaker 7>the next five years is the road out of their

0:11:39.960 --> 0:11:42.040
<v Speaker 7>V nine you take to us, so that's a nice

0:11:42.559 --> 0:11:46.520
<v Speaker 7>iteration of their instruction set. And the number one innovation

0:11:46.679 --> 0:11:49.199
<v Speaker 7>that is v NI brings to the market is actually

0:11:50.160 --> 0:11:55.600
<v Speaker 7>AI specific instructions. So the next generation of ARM ship

0:11:55.679 --> 0:11:58.920
<v Speaker 7>are going to do much better job dealing with AI

0:11:59.040 --> 0:12:01.040
<v Speaker 7>workloads from that aspect.

0:12:01.120 --> 0:12:03.120
<v Speaker 1>To you, it's really it's really an AI.

0:12:03.000 --> 0:12:07.679
<v Speaker 7>List, but totally uncorrelated to what's happening today, like it's

0:12:07.720 --> 0:12:10.320
<v Speaker 7>a crazy and crazy spending on AI glister because in

0:12:10.360 --> 0:12:14.720
<v Speaker 7>the GPU in an AI accelerator is between a minimal

0:12:14.760 --> 0:12:16.440
<v Speaker 7>contributor and another contributor.

0:12:16.720 --> 0:12:20.240
<v Speaker 3>Yes, Pierre feragu Ana list over at New Street Research,

0:12:20.360 --> 0:12:23.880
<v Speaker 3>joining us Caro straight after publishing his reaction note to

0:12:23.960 --> 0:12:24.800
<v Speaker 3>that F one firing.

0:12:24.920 --> 0:12:26.800
<v Speaker 5>Just great timing having you on the show. Thank you

0:12:26.880 --> 0:12:27.280
<v Speaker 5>so much.

0:12:43.160 --> 0:12:45.960
<v Speaker 3>You're looking at Huawei's Mate sixty pro going through a

0:12:45.960 --> 0:12:49.480
<v Speaker 3>tear down by Tech Insights, Bloomberg News ask the research

0:12:49.559 --> 0:12:53.840
<v Speaker 3>firm to lift the lid on China's latest domestic smartphone.

0:12:54.040 --> 0:12:57.600
<v Speaker 3>What we learned that is an advanced seven animeter chip

0:12:57.760 --> 0:13:01.720
<v Speaker 3>was made by China's top chip maker, Smick or Semi

0:13:01.760 --> 0:13:07.040
<v Speaker 3>Manufacturing International Corp. It makes a sign that there's some

0:13:07.080 --> 0:13:11.120
<v Speaker 3>early progress in Beijing's push to beat out US technology

0:13:11.200 --> 0:13:14.400
<v Speaker 3>export curves. Joining me here on set is Bloomberg's Ian King.

0:13:14.760 --> 0:13:19.160
<v Speaker 3>The speculation and the rumor was that it was five nanometer.

0:13:19.679 --> 0:13:20.080
<v Speaker 5>It's not.

0:13:20.440 --> 0:13:24.520
<v Speaker 3>It's seven nanometer SMIC or Smick made. Tell us what

0:13:24.559 --> 0:13:25.520
<v Speaker 3>we know from that teardown.

0:13:25.679 --> 0:13:28.679
<v Speaker 8>Yeah, you've got to remember, like three is better than five,

0:13:28.760 --> 0:13:31.600
<v Speaker 8>which is better than seven. Three would be sort of

0:13:31.640 --> 0:13:35.079
<v Speaker 8>the state of the art in terms of manufacturing capabilities

0:13:35.080 --> 0:13:38.040
<v Speaker 8>that somebody like Apple would try to be accessing it

0:13:38.040 --> 0:13:40.640
<v Speaker 8>at this point. So seven sounds like a long way behind,

0:13:40.679 --> 0:13:44.040
<v Speaker 8>maybe two three years behind, but you can still do

0:13:44.120 --> 0:13:48.200
<v Speaker 8>a lot with that level of manufacturing technology. Underpinning this though,

0:13:48.320 --> 0:13:51.880
<v Speaker 8>is should they actually be doing this? Is this representating

0:13:52.040 --> 0:13:54.440
<v Speaker 8>a circumvention of what the US is trying to do,

0:13:54.720 --> 0:13:58.280
<v Speaker 8>which is to get one way away from access to technology.

0:13:58.320 --> 0:14:00.920
<v Speaker 3>And to that point, Caroline, we should we should say

0:14:00.920 --> 0:14:03.960
<v Speaker 3>that Bloomberg went to the US Commerce Department and asked

0:14:04.360 --> 0:14:07.200
<v Speaker 3>if this seven nanometer tech is caught within the bounds

0:14:07.240 --> 0:14:10.480
<v Speaker 3>of curves and I don't believe the US Commerce Department replied.

0:14:10.280 --> 0:14:12.400
<v Speaker 2>Yeah, thus far it does, shine O. THEO were really

0:14:12.440 --> 0:14:15.480
<v Speaker 2>a question mark. And what has been the US spearheading

0:14:15.520 --> 0:14:19.360
<v Speaker 2>this in of a global clampdown on basically China's access

0:14:19.360 --> 0:14:21.360
<v Speaker 2>to this sort of technology. Do you think it does

0:14:21.520 --> 0:14:22.480
<v Speaker 2>ring question marks?

0:14:23.400 --> 0:14:23.480
<v Speaker 5>Now?

0:14:23.880 --> 0:14:26.880
<v Speaker 8>There are absolutely questions. To be fair to Commerce, though

0:14:27.320 --> 0:14:30.680
<v Speaker 8>they're not going to comment about individual actions that they

0:14:30.800 --> 0:14:33.440
<v Speaker 8>take against a specific company. That's kind of their policy.

0:14:33.800 --> 0:14:35.440
<v Speaker 8>So we tend to sort of find that out when

0:14:35.440 --> 0:14:39.160
<v Speaker 8>it gets announced. And they have actually sort of when

0:14:39.240 --> 0:14:41.640
<v Speaker 8>these stories crop up, they have taken action. So we'll

0:14:41.680 --> 0:14:45.000
<v Speaker 8>see what happens there. There's definitely known as on them

0:14:45.080 --> 0:14:47.520
<v Speaker 8>to take some action, but we wouldn't expect them to

0:14:47.560 --> 0:14:48.560
<v Speaker 8>talk about it right now.

0:14:48.680 --> 0:14:53.680
<v Speaker 3>We did learn about where China's at in its technology competence,

0:14:53.840 --> 0:14:57.560
<v Speaker 3>right you know, there's this idea that it's seven nanometer,

0:14:58.160 --> 0:15:01.400
<v Speaker 3>but they sold out of the handset very quickly, and

0:15:01.400 --> 0:15:04.480
<v Speaker 3>that indicates to us, even though it's two generations removed

0:15:04.480 --> 0:15:07.360
<v Speaker 3>from the cutting edge, that they're not making seven nanimeter

0:15:07.440 --> 0:15:08.960
<v Speaker 3>at volume yet or at scale.

0:15:09.120 --> 0:15:11.040
<v Speaker 8>Yeah, I mean, this is a conversation that we had

0:15:11.120 --> 0:15:13.840
<v Speaker 8>last week. Remember, you can make a few of these

0:15:13.880 --> 0:15:16.320
<v Speaker 8>things on the bench, right, that's great, well done, you're

0:15:16.360 --> 0:15:18.880
<v Speaker 8>good at the technology. But the real art is to

0:15:18.920 --> 0:15:22.160
<v Speaker 8>make millions, tens of millions, hundreds of millions of these things.

0:15:22.960 --> 0:15:24.760
<v Speaker 8>We really need to see whether they can do that

0:15:24.880 --> 0:15:27.800
<v Speaker 8>or not, and do that on an economic basis. If

0:15:27.840 --> 0:15:30.920
<v Speaker 8>they can, then this is definitely you know, a red

0:15:30.920 --> 0:15:33.760
<v Speaker 8>flag warning, symbols, whatever you want to describe it with.

0:15:34.160 --> 0:15:36.640
<v Speaker 8>If they can't, then maybe this is a symbolic thing,

0:15:37.120 --> 0:15:39.240
<v Speaker 8>just to poke. The Secretary of Commerce from the US,

0:15:39.320 --> 0:15:40.560
<v Speaker 8>who was in China last.

0:15:40.320 --> 0:15:43.600
<v Speaker 2>Week in some great reports, for example the Jeffreyes tream

0:15:43.640 --> 0:15:46.920
<v Speaker 2>puning out you know the myths and the facts about

0:15:46.920 --> 0:15:51.080
<v Speaker 2>this particular Mate sixty. I'm interested more broadly on the

0:15:51.120 --> 0:15:55.040
<v Speaker 2>impact on competition though. What has been reality is the

0:15:55.080 --> 0:15:58.640
<v Speaker 2>share price reaction from Shaomi in does this pook war

0:15:58.720 --> 0:16:01.920
<v Speaker 2>We back on the map, even if only in China.

0:16:02.040 --> 0:16:04.680
<v Speaker 8>Well, you have to remember that they basically got out

0:16:04.680 --> 0:16:08.680
<v Speaker 8>of the handset business. They essentially spun it off because

0:16:08.960 --> 0:16:12.080
<v Speaker 8>they were in such a difficult position because of these sanctions.

0:16:12.960 --> 0:16:16.680
<v Speaker 8>This as a symbolic thing, as something to market around.

0:16:17.360 --> 0:16:20.120
<v Speaker 8>It's absolutely sensational. Look at the attention it's getting. We're

0:16:20.120 --> 0:16:22.560
<v Speaker 8>talking about it on the other side of the world, right,

0:16:22.640 --> 0:16:26.000
<v Speaker 8>So yes, of course it really helps. But again we'll

0:16:26.040 --> 0:16:28.800
<v Speaker 8>need to see that volume, as Ed and I just discussed,

0:16:28.960 --> 0:16:29.880
<v Speaker 8>we'll need to see that.

0:16:29.920 --> 0:16:34.000
<v Speaker 2>Volume absolutely brilliant throughout inking. Thank you so much getting

0:16:34.080 --> 0:16:36.200
<v Speaker 2>us up to speed on the tear down. Meanwhile, let's

0:16:36.200 --> 0:16:38.480
<v Speaker 2>get a tear down on what we're likely to be

0:16:38.560 --> 0:16:41.760
<v Speaker 2>hearing from the EU set to unveil it's Gateclimper's list

0:16:41.920 --> 0:16:45.400
<v Speaker 2>tomorrow under the Ease Forthcoming Digital Markets Act. Of course,

0:16:45.480 --> 0:16:48.960
<v Speaker 2>we've been long anticipating which platforms are currently going to

0:16:48.960 --> 0:16:53.680
<v Speaker 2>be at risk too much stricter regulations. Guest likely these

0:16:53.720 --> 0:16:56.000
<v Speaker 2>big players from New York, from San Francisco. This is

0:16:56.000 --> 0:17:09.119
<v Speaker 2>Bluebot technology time now for talking tech. First up advertising

0:17:09.160 --> 0:17:11.520
<v Speaker 2>sales at X of course, formerly known as Twitter, they're

0:17:11.560 --> 0:17:14.639
<v Speaker 2>down from sixty percent. Neil Musk is pointing the blame

0:17:14.680 --> 0:17:17.399
<v Speaker 2>at the Anti Defamation League now Musk is actually accusing

0:17:17.400 --> 0:17:19.640
<v Speaker 2>that they're not for profits is having a personal vendetta

0:17:19.720 --> 0:17:22.600
<v Speaker 2>against him since he purchased the platform. The ADL has

0:17:22.640 --> 0:17:25.639
<v Speaker 2>previously reported that harassment and extremist content on the platform

0:17:25.760 --> 0:17:29.320
<v Speaker 2>has spiked since Musk's takeover. Meanwhile, let's turn our attention

0:17:29.400 --> 0:17:31.400
<v Speaker 2>to Sam Altman, who is now the first person to.

0:17:31.359 --> 0:17:33.080
<v Speaker 4>Get an Indonesian Golden Visa.

0:17:33.080 --> 0:17:35.720
<v Speaker 2>It's the new visa that allows foreigners to make substantial

0:17:35.760 --> 0:17:38.560
<v Speaker 2>investments in the country to remain for between five and

0:17:38.600 --> 0:17:41.000
<v Speaker 2>ten years. It's part of a new initiative to boost

0:17:41.040 --> 0:17:44.760
<v Speaker 2>economic development in the region. And Plus, TikTok is hiring

0:17:45.000 --> 0:17:49.040
<v Speaker 2>UK security firm NCC Group to help audit well it's data.

0:17:49.160 --> 0:17:51.800
<v Speaker 4>It's controls, the protections in Europe in particular. It's all

0:17:51.800 --> 0:17:53.399
<v Speaker 4>part of what is called Project Clover.

0:17:53.840 --> 0:17:55.920
<v Speaker 2>It's similar to a program right here in the US

0:17:55.960 --> 0:17:59.520
<v Speaker 2>to reassure Europeans that the Chinese government can't access their data.

0:17:59.560 --> 0:18:02.439
<v Speaker 2>TikTok currently runs a data center in Dublin and is

0:18:02.440 --> 0:18:05.080
<v Speaker 2>building another one in Ireland and indeed in Norway too.

0:18:06.160 --> 0:18:07.520
<v Speaker 5>Yeah, let's stick in that region.

0:18:07.600 --> 0:18:10.880
<v Speaker 3>Big Tech is bracing for the European Union's biggest ever

0:18:10.920 --> 0:18:14.919
<v Speaker 3>clamped down on anti competitive practices, which may provoke a

0:18:14.960 --> 0:18:18.159
<v Speaker 3>new wave of legal battles between regulators and here in

0:18:18.240 --> 0:18:21.280
<v Speaker 3>Silicon Valley. The announcement on which tech platforms are to

0:18:21.280 --> 0:18:25.000
<v Speaker 3>be targeted under the EUS Digital Markets Act is due tomorrow.

0:18:25.280 --> 0:18:28.240
<v Speaker 3>For more, let's bring in Bloombergs Gillian Deutsch who joins

0:18:28.320 --> 0:18:31.600
<v Speaker 3>us out in Brussels. Caroline and I are so used

0:18:31.600 --> 0:18:35.359
<v Speaker 3>to covering the kind of antitrust case, you know, the

0:18:35.400 --> 0:18:37.639
<v Speaker 3>battle that played out in court. Now the story in

0:18:37.680 --> 0:18:43.080
<v Speaker 3>the EU is moving to legislation and rule making. Explain

0:18:43.119 --> 0:18:44.040
<v Speaker 3>what's about to happen.

0:18:45.240 --> 0:18:48.320
<v Speaker 9>Yeah, So tomorrow is a big day for the European Commission.

0:18:48.640 --> 0:18:50.800
<v Speaker 9>This is when they come out and say which companies,

0:18:50.840 --> 0:18:54.200
<v Speaker 9>major tech companies are considered gatekeepers and those are companies

0:18:54.240 --> 0:18:57.200
<v Speaker 9>that are considered dominant in their space. And then they're

0:18:57.200 --> 0:18:58.960
<v Speaker 9>going to lay out which of those products from those

0:18:58.960 --> 0:19:02.480
<v Speaker 9>companies are considered core platform services and those are the

0:19:02.480 --> 0:19:04.800
<v Speaker 9>products that these companies are going to have to redesign

0:19:05.160 --> 0:19:07.560
<v Speaker 9>to comply with a whole bunch of new rules set

0:19:07.560 --> 0:19:09.679
<v Speaker 9>by the europe Commission. And to your point ed, I mean,

0:19:09.680 --> 0:19:11.399
<v Speaker 9>I want to back up a little bit. We've seen

0:19:11.760 --> 0:19:14.120
<v Speaker 9>lots of these anti trust cases from the European Commission

0:19:14.200 --> 0:19:17.280
<v Speaker 9>for years now, for almost over a decade. And really

0:19:17.359 --> 0:19:19.240
<v Speaker 9>what the EUOPEA Conussion's trying to do is say, okay,

0:19:19.320 --> 0:19:22.240
<v Speaker 9>these cases have often dragged out on the ports for years.

0:19:22.359 --> 0:19:25.320
<v Speaker 9>They have often been unsuccessful as well. So instead of

0:19:25.400 --> 0:19:28.280
<v Speaker 9>dragging companies to port after they've done something they deem

0:19:28.520 --> 0:19:30.160
<v Speaker 9>anti competitive, the Commission saying.

0:19:30.040 --> 0:19:32.000
<v Speaker 1>Let's set out those rules.

0:19:31.840 --> 0:19:33.639
<v Speaker 9>From the get go, and so I'm really going to

0:19:33.640 --> 0:19:36.880
<v Speaker 9>see some of those big rules come to fruition tomorrow.

0:19:37.600 --> 0:19:39.720
<v Speaker 2>Of course, this sort of follows off from the Digital

0:19:39.760 --> 0:19:42.720
<v Speaker 2>Services Act now it's the Digital Markets Acts, and it

0:19:42.760 --> 0:19:46.719
<v Speaker 2>always ends up to be signs that are either instilled

0:19:46.840 --> 0:19:48.159
<v Speaker 2>or indeed warned about.

0:19:48.560 --> 0:19:50.240
<v Speaker 4>Is that really what the stick is here?

0:19:50.280 --> 0:19:52.840
<v Speaker 2>Are there any carrots that persuade the big companies to

0:19:53.000 --> 0:19:53.719
<v Speaker 2>fall in line?

0:19:54.680 --> 0:19:56.200
<v Speaker 9>Well, I do think one carrot as well, do you

0:19:56.240 --> 0:19:58.720
<v Speaker 9>want to operate on one of the biggest markets? And

0:19:58.840 --> 0:20:01.840
<v Speaker 9>so we actually have seen some companies say actually maybe

0:20:01.880 --> 0:20:04.080
<v Speaker 9>not because there's not and how there's too much regulation.

0:20:04.480 --> 0:20:06.840
<v Speaker 9>And one prominent example is that Meta actually has not

0:20:06.960 --> 0:20:10.000
<v Speaker 9>rolled out threads in your Opean Union. We've seen it

0:20:10.040 --> 0:20:12.040
<v Speaker 9>across the channel in the UK and obviously in the

0:20:12.160 --> 0:20:14.760
<v Speaker 9>United States, but we don't have it here because what

0:20:14.800 --> 0:20:17.360
<v Speaker 9>what Meta says is that we don't know how these

0:20:17.400 --> 0:20:19.440
<v Speaker 9>kinds of rules under the Digital Markets Act are actually

0:20:19.480 --> 0:20:21.560
<v Speaker 9>going to be enforced. And one of those rules is

0:20:21.600 --> 0:20:25.400
<v Speaker 9>that companies can't combine personal data across platforms. So Meta saying,

0:20:25.440 --> 0:20:27.120
<v Speaker 9>you know, I'd rather be safe than sorry, So maybe

0:20:27.160 --> 0:20:29.440
<v Speaker 9>we shouldn't even roll out the EU. But we also

0:20:29.440 --> 0:20:31.639
<v Speaker 9>are seeing lots of those threats of fines that companies

0:20:31.680 --> 0:20:33.600
<v Speaker 9>won't be able to operate in the EU if they

0:20:33.640 --> 0:20:36.359
<v Speaker 9>break break these rules repeated b So this kind of

0:20:36.359 --> 0:20:38.000
<v Speaker 9>two tier track of the d m A. And like

0:20:38.040 --> 0:20:41.640
<v Speaker 9>you mentioned, Caroline DSA, there really are are are this

0:20:41.840 --> 0:20:45.080
<v Speaker 9>this new wave of regulation, and so the EU pecushions

0:20:45.080 --> 0:20:47.200
<v Speaker 9>trying to work with companies and say, look, we're trying

0:20:47.200 --> 0:20:49.160
<v Speaker 9>to trying to make this work for you guys too,

0:20:49.280 --> 0:20:52.520
<v Speaker 9>But there are definitely lots of lots of court cases

0:20:52.560 --> 0:20:53.760
<v Speaker 9>and fines on the horizons.

0:20:53.760 --> 0:20:57.000
<v Speaker 3>They don't you know, it is often a two a

0:20:57.119 --> 0:20:59.320
<v Speaker 3>street our reflects on my own time in Brussels, Jada,

0:20:59.359 --> 0:21:01.600
<v Speaker 3>I mean, what did the companies have to say about it?

0:21:01.840 --> 0:21:03.480
<v Speaker 3>Are they trying to meet them halfway?

0:21:04.640 --> 0:21:05.320
<v Speaker 5>Does that makes sense?

0:21:05.359 --> 0:21:07.840
<v Speaker 9>So I covered the DSA, which I mean the DNA

0:21:07.960 --> 0:21:11.119
<v Speaker 9>is more focused on anti trust and competitive behaviors. The

0:21:11.160 --> 0:21:14.040
<v Speaker 9>DSA is focused on you know, harmful illegal content we

0:21:14.119 --> 0:21:18.840
<v Speaker 9>see in digital marketplaces or on social media platforms. And

0:21:18.920 --> 0:21:21.440
<v Speaker 9>with the DSA, we've seen companies like TikTok and Meta

0:21:21.480 --> 0:21:23.639
<v Speaker 9>they've really redesigned some of their products to be more

0:21:23.680 --> 0:21:26.960
<v Speaker 9>transparent to flag all content. So they're definitely laying up

0:21:26.960 --> 0:21:29.359
<v Speaker 9>those things saying, look, we're paying attention, we're caring about

0:21:29.359 --> 0:21:32.880
<v Speaker 9>this regulation. But we also see lots of potential court

0:21:32.880 --> 0:21:36.160
<v Speaker 9>cases on the horizon the DSA. We already saw two companies,

0:21:36.200 --> 0:21:39.160
<v Speaker 9>Amazon and Solando sue over those rules, and we're almost

0:21:39.200 --> 0:21:41.280
<v Speaker 9>certain we're going to see more now that the DMA

0:21:41.320 --> 0:21:41.800
<v Speaker 9>is going to.

0:21:41.720 --> 0:21:43.880
<v Speaker 4>Affect the people who always win.

0:21:44.359 --> 0:21:47.760
<v Speaker 2>So lawyers seeing Bloomberg's Chilian joyed, Great to have you

0:21:47.800 --> 0:21:48.240
<v Speaker 2>on the show.

0:21:56.320 --> 0:22:00.159
<v Speaker 3>Welcome back to Bloomberg Technology. I'm Ed Lovelow in San Francisco.

0:21:59.720 --> 0:22:00.920
<v Speaker 4>And I'm Carroine hid in New York.

0:22:00.960 --> 0:22:02.679
<v Speaker 2>Let's get a quick check on these markets because a

0:22:02.680 --> 0:22:05.879
<v Speaker 2>bit of a lackluster start to this month as we

0:22:05.960 --> 0:22:08.320
<v Speaker 2>currently see then as that one hundred up what about

0:22:08.520 --> 0:22:11.600
<v Speaker 2>ten percent after our Monday rest day. We're just seeing

0:22:11.800 --> 0:22:14.720
<v Speaker 2>a switch into perhaps a buying mode as we carry

0:22:14.720 --> 0:22:17.639
<v Speaker 2>on the day's trade, but ultimately people slow cautious to

0:22:17.720 --> 0:22:20.000
<v Speaker 2>get back to the buying as we see this new

0:22:20.400 --> 0:22:22.480
<v Speaker 2>start of September that usually on US a lot of

0:22:22.480 --> 0:22:24.960
<v Speaker 2>bond selling, particularly an investment grade in the corporate world,

0:22:25.080 --> 0:22:25.960
<v Speaker 2>two year yield.

0:22:25.800 --> 0:22:27.440
<v Speaker 4>Is up some six basis points. This is where some

0:22:27.480 --> 0:22:27.919
<v Speaker 4>of the big.

0:22:27.800 --> 0:22:30.080
<v Speaker 2>Moves are happening, and largely many are thinking because of

0:22:30.080 --> 0:22:31.600
<v Speaker 2>the supply is going to be rich when it comes

0:22:31.640 --> 0:22:34.119
<v Speaker 2>to investment grade bonds coming to the market and putting

0:22:34.119 --> 0:22:37.040
<v Speaker 2>some pressure on the overall US treasuries. We're also they've

0:22:37.080 --> 0:22:39.720
<v Speaker 2>got a myriad of macro data which looks pretty ugly

0:22:39.760 --> 0:22:41.320
<v Speaker 2>over in China, it looks ugly in Europe.

0:22:41.520 --> 0:22:42.560
<v Speaker 4>We're seeing the dollar.

0:22:42.320 --> 0:22:46.400
<v Speaker 2>Therefore outperformers, maybe a place of safety and ultimately where

0:22:46.520 --> 0:22:48.600
<v Speaker 2>rates are likely to have to be higher for longer

0:22:48.600 --> 0:22:51.359
<v Speaker 2>as the US economy outperforms Bitcoin on the downside visa v.

0:22:51.400 --> 0:22:54.119
<v Speaker 4>The US dollar. Let's move it on into individual players.

0:22:53.720 --> 0:22:55.840
<v Speaker 2>Though, because as I mentioned, perhaps some of the China

0:22:55.840 --> 0:22:58.240
<v Speaker 2>macro data not looking so pretty. Some news that came

0:22:58.240 --> 0:23:01.560
<v Speaker 2>out on Monday, while we're all having on Labor Day off.

0:23:01.840 --> 0:23:04.840
<v Speaker 2>Was Tesla up some four percent on perhaps some good

0:23:04.920 --> 0:23:07.600
<v Speaker 2>numbers coming out of China. We understand perhaps sales picking

0:23:07.640 --> 0:23:09.320
<v Speaker 2>up in a month of August as they price cut

0:23:09.359 --> 0:23:12.399
<v Speaker 2>their way. Oracle on the outside up two point seven percent.

0:23:12.440 --> 0:23:15.600
<v Speaker 2>Barclay's out with the notes going overweight, seeing this growth

0:23:15.640 --> 0:23:17.879
<v Speaker 2>trajectory looking good for the next few years for Oracle,

0:23:17.920 --> 0:23:19.720
<v Speaker 2>and I'm looking at a Luminut down some five percent

0:23:19.720 --> 0:23:22.880
<v Speaker 2>if the worst performer on the Nasdaq one hundred in fact, and.

0:23:22.800 --> 0:23:26.280
<v Speaker 4>This is we understand their naming. Of course, a new CEO.

0:23:26.440 --> 0:23:28.680
<v Speaker 2>We knew that Francis d'osusas sort of abruptly left a

0:23:28.680 --> 0:23:31.919
<v Speaker 2>couple of months ago Aggulant Technologies. Jacob Jason's going to

0:23:31.960 --> 0:23:35.040
<v Speaker 2>be taking the reins of the DNA sequencing giant. But boy,

0:23:35.080 --> 0:23:36.960
<v Speaker 2>of they got some issues on their hands. Of course,

0:23:37.280 --> 0:23:40.200
<v Speaker 2>issues about maybe having to cut back on their overall

0:23:40.240 --> 0:23:42.920
<v Speaker 2>growth trajectory that they originally thought. Of course, having those

0:23:42.960 --> 0:23:45.440
<v Speaker 2>proxy battles with billionaire activist Carlikan to.

0:23:45.440 --> 0:23:46.160
<v Speaker 4>Name but a few.

0:23:46.440 --> 0:23:49.639
<v Speaker 2>But a company that is currently looking for a change

0:23:49.720 --> 0:23:50.720
<v Speaker 2>of leadership ed.

0:23:51.560 --> 0:23:53.560
<v Speaker 3>Okay, And let's stick with markets check this one out.

0:23:53.600 --> 0:23:58.199
<v Speaker 3>A note from Goldman Sachs saying AI valuations are not excessive.

0:23:58.640 --> 0:24:02.280
<v Speaker 3>They right, given the valuations of the dominant incumbent companies

0:24:02.520 --> 0:24:06.040
<v Speaker 3>are high, but not excessive. We believe we are still

0:24:06.160 --> 0:24:11.000
<v Speaker 3>generally in the first phase of a typical technology technology weight.

0:24:11.080 --> 0:24:14.320
<v Speaker 3>Now that is not a uniformly held position, Carro, but

0:24:14.400 --> 0:24:16.080
<v Speaker 3>it kind of goes to what Jensen's one was talking

0:24:16.119 --> 0:24:19.160
<v Speaker 3>about on the Nvidia earnings call. They see two trends,

0:24:19.400 --> 0:24:22.439
<v Speaker 3>the move to generative AI and accelerated computing, but he

0:24:22.480 --> 0:24:25.040
<v Speaker 3>thinks they're in the early innings, and Goldman out saying, yeah, yeah,

0:24:25.040 --> 0:24:25.720
<v Speaker 3>we see that too.

0:24:25.920 --> 0:24:28.520
<v Speaker 2>And actually goldm have been together a nice basket of

0:24:28.880 --> 0:24:31.399
<v Speaker 2>some of the smaller stocks that could really benefit in

0:24:31.480 --> 0:24:34.520
<v Speaker 2>terms of profitability stakes from the uplift of AI, from

0:24:34.520 --> 0:24:37.640
<v Speaker 2>the productivity that's likely to be granted. Therefore seeing maybe

0:24:37.640 --> 0:24:39.360
<v Speaker 2>even a seventy percent run rate for some of these

0:24:39.359 --> 0:24:41.680
<v Speaker 2>stocks on the back of that. I'm interested though, on

0:24:41.840 --> 0:24:44.439
<v Speaker 2>who the naysayers have been and ed it has been

0:24:44.440 --> 0:24:47.000
<v Speaker 2>the likes of Bank of America saying this is a

0:24:47.040 --> 0:24:49.800
<v Speaker 2>baby bubble as originally what they seem to be terming it,

0:24:49.880 --> 0:24:52.360
<v Speaker 2>but worries about the valuations and where they've already run

0:24:52.400 --> 0:24:54.600
<v Speaker 2>to and and also August Stanley. I mean we know

0:24:54.680 --> 0:24:56.919
<v Speaker 2>that they're generally a bearish take, often coming from Mike

0:24:56.960 --> 0:24:58.960
<v Speaker 2>Wilson and the team, but they too have been a

0:24:58.960 --> 0:25:01.880
<v Speaker 2>little bit worried about ultimately how far we've already run

0:25:02.119 --> 0:25:07.320
<v Speaker 2>and whether tech ed can withstand higher rates, higher borign costs.

0:25:08.440 --> 0:25:08.640
<v Speaker 5>Yeah.

0:25:08.680 --> 0:25:11.400
<v Speaker 3>I think that there's one or two soft pieces data

0:25:11.400 --> 0:25:12.399
<v Speaker 3>that I'm going to look at, and we've got the

0:25:12.400 --> 0:25:15.000
<v Speaker 3>perfect person to ask next, but how much are people

0:25:15.040 --> 0:25:18.920
<v Speaker 3>spending now on R and D proportionately to their operating

0:25:18.920 --> 0:25:22.320
<v Speaker 3>expenses all their revenue and then the capex commitments from

0:25:22.359 --> 0:25:26.040
<v Speaker 3>those that want to benefit from AI because that investment

0:25:26.800 --> 0:25:29.320
<v Speaker 3>drives later growth. And I think that's a really interesting

0:25:29.320 --> 0:25:30.080
<v Speaker 3>place to focus.

0:25:30.240 --> 0:25:32.760
<v Speaker 2>Yeah, exactly whether or not you have the patience man

0:25:32.840 --> 0:25:35.679
<v Speaker 2>leep seeing always does is here with us some Bloomberg intelligence,

0:25:35.720 --> 0:25:40.480
<v Speaker 2>and these sorts of whether we're too enthusiastic, whether we've

0:25:40.480 --> 0:25:42.480
<v Speaker 2>got a bubble or not, are going to come thick

0:25:42.480 --> 0:25:44.960
<v Speaker 2>and fast to your mind sight the valuations that we're

0:25:45.000 --> 0:25:46.160
<v Speaker 2>already training at.

0:25:46.520 --> 0:25:49.600
<v Speaker 10>Well, So you have to be selective in this environment.

0:25:49.720 --> 0:25:52.080
<v Speaker 10>Given the run up we have seen and the upward

0:25:52.119 --> 0:25:54.840
<v Speaker 10>revisions we have seen for the likes of Nvidia. You

0:25:54.920 --> 0:25:57.960
<v Speaker 10>have to ask for yourself, are there any other companies

0:25:58.040 --> 0:26:01.520
<v Speaker 10>that could see upward revisions like that? And it's too

0:26:01.560 --> 0:26:04.600
<v Speaker 10>early to say that companies are able to, you know,

0:26:04.840 --> 0:26:09.200
<v Speaker 10>unpack new revenue opportunities, especially on the software side or

0:26:09.640 --> 0:26:12.919
<v Speaker 10>on the services side, because right now they're all buying

0:26:12.960 --> 0:26:16.440
<v Speaker 10>these chips, they're investing trying to figure out a new

0:26:16.480 --> 0:26:19.680
<v Speaker 10>product that they can monetize. Co pilots is one way

0:26:20.040 --> 0:26:23.879
<v Speaker 10>that Microsoft has said, Okay, we could monetize this based

0:26:23.920 --> 0:26:26.120
<v Speaker 10>on you know, the enterprise base we have. We can

0:26:26.119 --> 0:26:28.680
<v Speaker 10>sell them an additional product in the form of a copilot.

0:26:28.760 --> 0:26:32.399
<v Speaker 10>For others, it's not so clear whether there are customers

0:26:32.400 --> 0:26:36.040
<v Speaker 10>that are willing to pay for generative AI. And frankly speaking,

0:26:36.359 --> 0:26:39.399
<v Speaker 10>we may not be at a point where the technology

0:26:39.440 --> 0:26:42.720
<v Speaker 10>is there in terms of you know, being product ready, yes,

0:26:43.000 --> 0:26:46.080
<v Speaker 10>and so that's when you generating revenue generating and that

0:26:46.240 --> 0:26:48.680
<v Speaker 10>and that's where it adds to the R and D

0:26:48.880 --> 0:26:51.439
<v Speaker 10>expense because you have to buy these chips, you have

0:26:51.480 --> 0:26:55.000
<v Speaker 10>to invest in hiring engineers to develop a product. But

0:26:55.119 --> 0:26:57.440
<v Speaker 10>when it will be product ready is the question. And

0:26:58.200 --> 0:27:00.439
<v Speaker 10>you could see in fact a margin hit for some

0:27:00.520 --> 0:27:03.880
<v Speaker 10>of the companies that are investing in Generator VII right now.

0:27:04.080 --> 0:27:06.520
<v Speaker 2>And what's so interesting is it's not just cell side

0:27:06.560 --> 0:27:09.840
<v Speaker 2>notes that we're getting. We're getting big takes from buyers,

0:27:10.119 --> 0:27:13.600
<v Speaker 2>admittedly players more in the value space. But I thought

0:27:13.600 --> 0:27:16.080
<v Speaker 2>the rob Are not no in particular, was an interesting thing.

0:27:16.160 --> 0:27:19.560
<v Speaker 3>Yes, yeah, rob Are not the so called bubble hunter

0:27:19.960 --> 0:27:21.240
<v Speaker 3>of research affiliates.

0:27:21.400 --> 0:27:21.520
<v Speaker 5>Man.

0:27:21.800 --> 0:27:24.080
<v Speaker 3>He makes two points and I'll run them past you.

0:27:24.160 --> 0:27:27.160
<v Speaker 3>The first is that he calls it big market delusion,

0:27:27.200 --> 0:27:31.040
<v Speaker 3>the idea that the valuation of video right now reflects

0:27:31.600 --> 0:27:34.320
<v Speaker 3>that they won't be displaced by another player, that they

0:27:34.400 --> 0:27:38.080
<v Speaker 3>basically remain the incumbent. And that, second of all, the

0:27:38.200 --> 0:27:41.159
<v Speaker 3>current market cap of the video, its size makes it

0:27:41.160 --> 0:27:43.040
<v Speaker 3>a really safe bet. What do you make of those

0:27:43.040 --> 0:27:46.200
<v Speaker 3>two points? It's position in the market, but also its

0:27:46.240 --> 0:27:47.200
<v Speaker 3>current size.

0:27:47.920 --> 0:27:51.159
<v Speaker 10>I agree, I think with that comment simply because the

0:27:51.240 --> 0:27:54.840
<v Speaker 10>companies that are investing right nine Generator VII are your

0:27:54.920 --> 0:27:58.120
<v Speaker 10>hyperscale cloud venders, and they are the ones who are

0:27:58.200 --> 0:28:02.280
<v Speaker 10>actually buying these chips involved. That's what drove that one

0:28:02.359 --> 0:28:05.719
<v Speaker 10>hundred percent upside revisions for Nvidia. I mean, had it

0:28:05.760 --> 0:28:10.119
<v Speaker 10>been your fragmented enterprise IT base, they wouldn't be making

0:28:10.160 --> 0:28:14.040
<v Speaker 10>those sort of commitments. Even though everyone agrees with the

0:28:14.160 --> 0:28:17.760
<v Speaker 10>disruptive impact of generative AI, the fact that you're seeing

0:28:17.800 --> 0:28:20.600
<v Speaker 10>that kind of a big lift in hardware and semiconductor

0:28:20.640 --> 0:28:24.280
<v Speaker 10>spending is because of the concentrated nature of the wires,

0:28:24.480 --> 0:28:27.040
<v Speaker 10>which in this case is the Hyperscape cloud players. And

0:28:27.080 --> 0:28:30.119
<v Speaker 10>you have to ask to yourself, if everyone is able

0:28:30.160 --> 0:28:34.760
<v Speaker 10>to develop that technology over time, then it does get commoditized.

0:28:34.760 --> 0:28:37.600
<v Speaker 10>And I go back to the revenue generation aspects of

0:28:37.960 --> 0:28:40.240
<v Speaker 10>you know how you're going to monetize it in software

0:28:40.400 --> 0:28:43.680
<v Speaker 10>or services that you can layer, and it's not very clear.

0:28:43.800 --> 0:28:46.479
<v Speaker 10>We're still at a very early stage in terms of

0:28:47.240 --> 0:28:50.560
<v Speaker 10>unpacking the monetization opportunities on the software side.

0:28:51.520 --> 0:28:55.160
<v Speaker 3>During the earning season, particularly Jensen Huang in Vidia's Earning Cool,

0:28:55.880 --> 0:29:00.200
<v Speaker 3>he talks about the two big trends, accelerated computing and

0:29:00.240 --> 0:29:04.360
<v Speaker 3>then the demands for specific generative AI tools, but also

0:29:04.440 --> 0:29:07.160
<v Speaker 3>capital expenses. He said, look at the commitments on the

0:29:07.280 --> 0:29:09.640
<v Speaker 3>R and D side and the CAPEX side of those

0:29:09.680 --> 0:29:12.520
<v Speaker 3>they care about are those data points that you track

0:29:12.560 --> 0:29:15.080
<v Speaker 3>as well at Bloomberg Intelligence to kind of see how

0:29:15.120 --> 0:29:17.880
<v Speaker 3>far we have left to go on this technology wave.

0:29:19.120 --> 0:29:22.320
<v Speaker 10>I think, look, everyone right now is spending their R

0:29:22.360 --> 0:29:26.240
<v Speaker 10>and D dollars on generative AI. The key question to

0:29:26.320 --> 0:29:30.800
<v Speaker 10>me is, you know the proprietary data that is available

0:29:31.080 --> 0:29:33.240
<v Speaker 10>to be fed into a large languid model at the

0:29:33.320 --> 0:29:36.120
<v Speaker 10>end of the day, the foundational model, the billions of

0:29:36.160 --> 0:29:39.640
<v Speaker 10>parameters in the model it's based on. You know, large

0:29:39.640 --> 0:29:42.600
<v Speaker 10>amounts of data. You can't build a large anguid model

0:29:42.920 --> 0:29:45.120
<v Speaker 10>on a small data set. And where do you get

0:29:45.160 --> 0:29:48.640
<v Speaker 10>that data from? Given every company has become so conscious

0:29:48.640 --> 0:29:51.840
<v Speaker 10>about their data, whether it's Reddit, Twitter, all the open

0:29:51.920 --> 0:29:55.760
<v Speaker 10>Internet data. And that is where I think the heart

0:29:55.840 --> 0:29:59.480
<v Speaker 10>of how this technology will evolve lives is where do

0:29:59.560 --> 0:30:01.760
<v Speaker 10>you have access to data?

0:30:01.920 --> 0:30:05.120
<v Speaker 2>You are singing from a hymnsheet that I've heard Kathy

0:30:05.160 --> 0:30:07.640
<v Speaker 2>would sing from a little bit as well, all about

0:30:07.640 --> 0:30:11.320
<v Speaker 2>the proprietary data. And ultimately Kathy was early in her

0:30:11.360 --> 0:30:13.800
<v Speaker 2>call that in video was just too far, too fast.

0:30:13.880 --> 0:30:16.280
<v Speaker 4>Get into other names that are being overlooked here?

0:30:16.360 --> 0:30:19.440
<v Speaker 2>What are other names that are being overlooked From Bi's perspective.

0:30:19.040 --> 0:30:22.960
<v Speaker 10>Well so from our perspective. Internet companies have an advantage here,

0:30:23.080 --> 0:30:26.840
<v Speaker 10>whether it's so social media companies, search companies, they own

0:30:26.920 --> 0:30:30.320
<v Speaker 10>the proprietary data within their walled gardens. Software companies, on

0:30:30.360 --> 0:30:33.440
<v Speaker 10>the other hand, they don't have their proprietary data, they

0:30:33.640 --> 0:30:36.680
<v Speaker 10>have customer data. They can't build large anguid models on

0:30:36.720 --> 0:30:41.000
<v Speaker 10>top of that. So clearly Internet platforms are the ones

0:30:41.040 --> 0:30:43.560
<v Speaker 10>that are coming up with the large anguid models right now,

0:30:43.720 --> 0:30:46.280
<v Speaker 10>and they have an advantage in terms of, you know,

0:30:46.520 --> 0:30:50.840
<v Speaker 10>redoing their next version because they have access to that data.

0:30:50.920 --> 0:30:54.600
<v Speaker 10>Where software companies like Microsoft partner with open ai and

0:30:54.680 --> 0:30:58.080
<v Speaker 10>open ai actually build the air large angroid model on

0:30:58.280 --> 0:31:01.720
<v Speaker 10>open Internet data from Reddit and Twitter, and they'll have

0:31:01.800 --> 0:31:04.480
<v Speaker 10>a hard time finding the next iteration of it because

0:31:04.520 --> 0:31:07.640
<v Speaker 10>everyone is limiting the user of the open Internet data

0:31:07.680 --> 0:31:10.440
<v Speaker 10>as well. I do think Internet platforms have an advantage

0:31:10.440 --> 0:31:11.440
<v Speaker 10>in the cycle.

0:31:11.360 --> 0:31:13.920
<v Speaker 2>And for a longer term discussion and just how much

0:31:13.960 --> 0:31:16.720
<v Speaker 2>this changes the world of the Internet and how much

0:31:16.760 --> 0:31:19.760
<v Speaker 2>more closed it becomes. Man's saying absolutely, bringing from Boombag Intelligence.

0:31:19.760 --> 0:31:20.600
<v Speaker 2>We always love him on the.

0:31:20.600 --> 0:31:32.560
<v Speaker 3>Show time for VC Roundup and first Up. Phata Ray,

0:31:32.560 --> 0:31:36.400
<v Speaker 3>a startup that uses artificial intelligence to dixect money laundering

0:31:36.400 --> 0:31:40.520
<v Speaker 3>and other financial crimes in international transactions, has raised fifty

0:31:40.560 --> 0:31:43.040
<v Speaker 3>seven million dollars in a recent investment round the investment

0:31:43.120 --> 0:31:47.400
<v Speaker 3>comes is financial institutions record a sharp rising fraud, much

0:31:47.400 --> 0:31:50.600
<v Speaker 3>of it actually boosted by new AI tools, and next

0:31:50.600 --> 0:31:54.560
<v Speaker 3>Gen Healthcare rose thirteen percent after Bloomberg reported that Tomer

0:31:54.600 --> 0:31:57.520
<v Speaker 3>Bravo is in advanced talks to buy the health records

0:31:57.520 --> 0:32:00.760
<v Speaker 3>software company. That's according to sources, who also say that

0:32:00.800 --> 0:32:01.920
<v Speaker 3>the private equity.

0:32:01.600 --> 0:32:04.320
<v Speaker 5>Firm could announce a deal as soon as this week.

0:32:04.400 --> 0:32:08.080
<v Speaker 3>Plus four time NBA champion and perennial All Star Stephen

0:32:08.120 --> 0:32:10.920
<v Speaker 3>Curry is among the new investors in Upwind, in a

0:32:11.000 --> 0:32:14.880
<v Speaker 3>fifty million dollar round which values the Israeli cybersecurity startup

0:32:15.120 --> 0:32:17.200
<v Speaker 3>at three hundred million dollars.

0:32:17.240 --> 0:32:20.120
<v Speaker 2>Caro, He's pretty active in the VC world. That's what

0:32:20.240 --> 0:32:23.840
<v Speaker 2>I was quite the sportsperson. Let's talk about venture more

0:32:23.840 --> 0:32:25.600
<v Speaker 2>broadly right now ed, because I'm pleased to say right

0:32:25.600 --> 0:32:27.600
<v Speaker 2>here in your is Drew Glover visiting. For the time being,

0:32:27.640 --> 0:32:30.840
<v Speaker 2>it's today's VC spotlight. Therefore, partner at FIAT Venture's course

0:32:31.080 --> 0:32:34.240
<v Speaker 2>also fat growth and emerging VC focus in the findex space.

0:32:34.240 --> 0:32:35.920
<v Speaker 4>And what makes you different is not only.

0:32:36.040 --> 0:32:41.480
<v Speaker 2>Well the focus on underrepresented founders, but notably also the

0:32:41.520 --> 0:32:45.360
<v Speaker 2>way in which you advise alongside invest Now at the

0:32:45.400 --> 0:32:49.160
<v Speaker 2>moment is all the advising or the discussion about watching

0:32:49.200 --> 0:32:51.120
<v Speaker 2>these big companies about to come to market and whether

0:32:51.240 --> 0:32:53.360
<v Speaker 2>or not we'll get more exits in the IPO area.

0:32:53.840 --> 0:32:56.560
<v Speaker 11>Well, it's really interesting at theach growth we're able to

0:32:56.640 --> 0:32:59.800
<v Speaker 11>and VR growth is the consultancy of the FIAT ventures

0:33:00.200 --> 0:33:02.680
<v Speaker 11>of the business. So we get to advise a number

0:33:02.680 --> 0:33:05.400
<v Speaker 11>of these companies, but very much stage agnostic, early stage

0:33:05.480 --> 0:33:07.400
<v Speaker 11>all the way to public companies, and then on fiad

0:33:07.440 --> 0:33:09.240
<v Speaker 11>ventures we get to invest in these companies because we

0:33:09.280 --> 0:33:10.400
<v Speaker 11>actually can tractually get.

0:33:10.240 --> 0:33:11.080
<v Speaker 5>The right to invest.

0:33:11.400 --> 0:33:14.000
<v Speaker 11>So in short, yes to your question, we have all

0:33:14.040 --> 0:33:17.280
<v Speaker 11>this incredible data and education that we get by actually

0:33:17.320 --> 0:33:20.360
<v Speaker 11>doing the work on the ground with these companies. And

0:33:20.440 --> 0:33:22.000
<v Speaker 11>one thing that we are seeing is a lot of

0:33:22.200 --> 0:33:24.760
<v Speaker 11>very optimistic things happening in the public market right now.

0:33:25.320 --> 0:33:27.360
<v Speaker 11>But also at the same time, we have to be

0:33:27.360 --> 0:33:29.360
<v Speaker 11>really thoughtful in terms of how we're building products and

0:33:29.360 --> 0:33:31.640
<v Speaker 11>how we're building strategies to bring some of these public

0:33:31.680 --> 0:33:35.520
<v Speaker 11>companies to the public markets. So in terms of the

0:33:35.560 --> 0:33:38.160
<v Speaker 11>trends we're seeing seeing a number of trends. I mean,

0:33:38.400 --> 0:33:40.480
<v Speaker 11>I'm hearing a lot of talk about AI and generative

0:33:40.480 --> 0:33:44.040
<v Speaker 11>AI right now, and one of the biggest things is

0:33:43.800 --> 0:33:48.320
<v Speaker 11>is everyone wants to shift their business to an AI

0:33:48.440 --> 0:33:50.800
<v Speaker 11>first business. Where one thing that we are constantly pushing

0:33:50.920 --> 0:33:53.920
<v Speaker 11>is AI is an incredible tool, is incredible feature, but

0:33:54.000 --> 0:33:55.080
<v Speaker 11>it's not always the right.

0:33:54.960 --> 0:33:55.880
<v Speaker 5>Product to shift to.

0:33:56.560 --> 0:33:59.200
<v Speaker 11>Because whatever all these companies have is an incredible amount

0:33:59.200 --> 0:34:02.720
<v Speaker 11>of data. AI can help empower to create really, really

0:34:02.840 --> 0:34:04.840
<v Speaker 11>valuable features to their core products.

0:34:04.920 --> 0:34:07.080
<v Speaker 2>I mean, we're just talking to Mandy seeing about the

0:34:07.120 --> 0:34:10.440
<v Speaker 2>power of proprietary data. We're also talking about earlier in

0:34:10.480 --> 0:34:12.760
<v Speaker 2>the show the fact that our might not be selling

0:34:12.840 --> 0:34:15.359
<v Speaker 2>as much as its company as well, the amount might

0:34:15.600 --> 0:34:18.640
<v Speaker 2>raise might not be as much, and maybe the valuations.

0:34:18.280 --> 0:34:20.640
<v Speaker 4>Are being questions that it goes on its road show.

0:34:21.040 --> 0:34:25.319
<v Speaker 2>Ultimately, how important is it for Stripe, for example, an

0:34:25.360 --> 0:34:26.960
<v Speaker 2>area that you're going to be very focused on a

0:34:26.960 --> 0:34:29.439
<v Speaker 2>company that is in the world of fintech, but also

0:34:29.480 --> 0:34:32.160
<v Speaker 2>looking at the public markets at some point.

0:34:31.600 --> 0:34:33.480
<v Speaker 5>Well, I think Stripes are in a great position.

0:34:33.640 --> 0:34:35.600
<v Speaker 11>One thing that we've seen over the last call it

0:34:35.680 --> 0:34:37.399
<v Speaker 11>year and a half here is us moving away from

0:34:37.400 --> 0:34:40.719
<v Speaker 11>this application layer to the infrastructure layer of fintech. And

0:34:40.760 --> 0:34:43.319
<v Speaker 11>just to break that down, the application layer is very

0:34:43.400 --> 0:34:46.640
<v Speaker 11>much consumer fintech. You've seen like the crazy growth over

0:34:46.640 --> 0:34:48.480
<v Speaker 11>the last five years of or even ten years of

0:34:48.520 --> 0:34:51.520
<v Speaker 11>neobanks like Chime and other ones like Varril Money. I

0:34:51.520 --> 0:34:53.719
<v Speaker 11>could keep going down the list there, but now we've

0:34:53.719 --> 0:34:56.680
<v Speaker 11>moved into this infrastructure layer, and that's something Stripe was

0:34:57.280 --> 0:35:00.439
<v Speaker 11>ahead of its time on. These are the f tech

0:35:01.360 --> 0:35:06.000
<v Speaker 11>the fintech technologies that run are the entire fintech ecosystem,

0:35:06.000 --> 0:35:08.120
<v Speaker 11>but we can't necessarily see and feel it. Like we

0:35:08.200 --> 0:35:10.520
<v Speaker 11>know that Stripe is powering the back end of Stripe,

0:35:10.560 --> 0:35:13.359
<v Speaker 11>but we don't know its Stripe. I'm sorry, the back

0:35:13.440 --> 0:35:15.640
<v Speaker 11>end of Shopify, but we don't know its Stripe. So

0:35:15.960 --> 0:35:18.200
<v Speaker 11>one thing that we're seeing in the fintech market today

0:35:18.280 --> 0:35:21.560
<v Speaker 11>is this infrastructure opportunity where we're going to see over

0:35:21.640 --> 0:35:24.280
<v Speaker 11>time is every single action we make on every single

0:35:24.320 --> 0:35:27.239
<v Speaker 11>app is going to be run by this fintech infrastructure.

0:35:27.280 --> 0:35:29.399
<v Speaker 11>Every time we purchase, every time we get a loan,

0:35:29.719 --> 0:35:33.120
<v Speaker 11>every time we refinance debt. And so I believe Stripe

0:35:33.200 --> 0:35:35.600
<v Speaker 11>is going to see a big headwind here over the

0:35:35.640 --> 0:35:37.640
<v Speaker 11>next couple of years as they decide what their next

0:35:37.640 --> 0:35:38.080
<v Speaker 11>step is.

0:35:39.080 --> 0:35:41.920
<v Speaker 3>Hey Dre, good morning for San Francisco. It's ed here

0:35:42.440 --> 0:35:45.440
<v Speaker 3>with everything that's happened in general to AI. Has that

0:35:45.520 --> 0:35:48.799
<v Speaker 3>pushed you at FIAT back to more sort of sole

0:35:48.920 --> 0:35:51.880
<v Speaker 3>focus on fintech. And the reason I asked that is

0:35:52.440 --> 0:35:56.560
<v Speaker 3>look at Salesforce or Nvidia, these big incumbents in AI

0:35:56.960 --> 0:36:01.520
<v Speaker 3>who deploy big sums of capital, they've really muscled in

0:36:01.600 --> 0:36:04.120
<v Speaker 3>buying up. I think the page foot data show Salesforce

0:36:04.520 --> 0:36:07.759
<v Speaker 3>was the most active investor in the first half of

0:36:07.760 --> 0:36:09.520
<v Speaker 3>this year. So do you look at that and say,

0:36:09.520 --> 0:36:11.839
<v Speaker 3>you know what, you guys have generative AI, we'll state

0:36:11.880 --> 0:36:12.719
<v Speaker 3>with fintech.

0:36:12.960 --> 0:36:15.160
<v Speaker 11>Well, no, I actually think the generative AI is going

0:36:15.200 --> 0:36:19.120
<v Speaker 11>to be a massive ad to what's happening in fintech.

0:36:19.520 --> 0:36:21.840
<v Speaker 11>All these fintech companies, one thing that they have that

0:36:22.280 --> 0:36:26.400
<v Speaker 11>most other industries don't have in spades is data, and

0:36:26.440 --> 0:36:30.320
<v Speaker 11>that is consumer data. That is call it data across

0:36:30.360 --> 0:36:32.799
<v Speaker 11>the entire customer journey. And when I say the customer journey,

0:36:32.840 --> 0:36:34.839
<v Speaker 11>I mean the moment they download the app to the

0:36:34.840 --> 0:36:37.480
<v Speaker 11>moment that they fund a bank account. And being able

0:36:37.480 --> 0:36:40.600
<v Speaker 11>to take that data and organize it through genera of

0:36:40.640 --> 0:36:44.239
<v Speaker 11>AI will be able to not only enhance the customer's

0:36:44.280 --> 0:36:46.920
<v Speaker 11>experience and the customer journey, but will also make it

0:36:46.960 --> 0:36:49.759
<v Speaker 11>so we can add additional products in the most efficient

0:36:49.800 --> 0:36:52.560
<v Speaker 11>way possible. I mean some things that we always think

0:36:52.560 --> 0:36:55.040
<v Speaker 11>about and you know we have a number of companies

0:36:55.080 --> 0:36:57.960
<v Speaker 11>that do this. Is for example, like the home loan

0:36:58.040 --> 0:37:02.520
<v Speaker 11>process is one that is very much human, human capital intensive,

0:37:02.600 --> 0:37:04.440
<v Speaker 11>and one thing that we've seen AI be able to

0:37:04.480 --> 0:37:06.319
<v Speaker 11>do is actually make it so we can take a

0:37:06.320 --> 0:37:08.440
<v Speaker 11>lot of humans out of that and be able to

0:37:08.440 --> 0:37:10.160
<v Speaker 11>make it so instead of it being a twenty thousand

0:37:10.200 --> 0:37:12.719
<v Speaker 11>dollars process to complete, you can do that now in

0:37:12.840 --> 0:37:15.320
<v Speaker 11>two th that with two thousand dollars or three thousand dollars.

0:37:15.360 --> 0:37:17.960
<v Speaker 11>So not only are we seeing companies becoming more capital

0:37:17.960 --> 0:37:20.520
<v Speaker 11>efficient because of AI, but we're also seeing them be

0:37:20.600 --> 0:37:24.000
<v Speaker 11>able to just become better businesses and more healthy businesses

0:37:24.040 --> 0:37:24.480
<v Speaker 11>over time.

0:37:25.640 --> 0:37:29.440
<v Speaker 2>One area of concern has for example, we mentioned Stripe

0:37:29.480 --> 0:37:30.840
<v Speaker 2>and the fact that it's going to be having a

0:37:30.840 --> 0:37:34.520
<v Speaker 2>lot of tailwinds well at in over in Europe has

0:37:34.640 --> 0:37:37.560
<v Speaker 2>just perhaps made everyone sit up and worry about the

0:37:37.600 --> 0:37:38.960
<v Speaker 2>fact that there aren't enough moats.

0:37:39.040 --> 0:37:41.959
<v Speaker 4>This can be consolidated. How much you're seeing.

0:37:42.239 --> 0:37:47.440
<v Speaker 2>Really motible, blockable areas of fintech that others just can't replicate.

0:37:48.239 --> 0:37:49.640
<v Speaker 1>And that's a really great question.

0:37:50.320 --> 0:37:51.760
<v Speaker 5>I think you know, what we've seen.

0:37:51.560 --> 0:37:54.520
<v Speaker 11>Over the last call It decade is really the fintech

0:37:54.600 --> 0:37:56.839
<v Speaker 11>brand wars, where we've seen a lot of companies really

0:37:56.880 --> 0:37:59.600
<v Speaker 11>try to build their moat around brand. And one thing

0:37:59.600 --> 0:38:03.600
<v Speaker 11>that we have notices that is very capital intensive. You

0:38:03.640 --> 0:38:05.480
<v Speaker 11>need the market to really be humming, and you need

0:38:05.520 --> 0:38:08.400
<v Speaker 11>to be you need to see venture dollars leaving pockets quickly,

0:38:08.719 --> 0:38:11.960
<v Speaker 11>and that is shifted. So what we're seeing now is,

0:38:12.160 --> 0:38:14.680
<v Speaker 11>especially in the private markets, is folks are no longer

0:38:14.719 --> 0:38:16.399
<v Speaker 11>just trying to build brands, but they're trying to build

0:38:16.400 --> 0:38:18.719
<v Speaker 11>sustainable businesses. And that brings me back to this, this

0:38:18.920 --> 0:38:21.799
<v Speaker 11>this transition of moving away from the application layer to

0:38:21.840 --> 0:38:24.680
<v Speaker 11>the infrastructure layer. One thing about the infrastructure layer is

0:38:24.719 --> 0:38:25.960
<v Speaker 11>these are B to B businesses.

0:38:26.000 --> 0:38:27.080
<v Speaker 5>These are B to B two ceeds.

0:38:27.320 --> 0:38:29.040
<v Speaker 4>See them on Instagram exactly.

0:38:29.120 --> 0:38:30.960
<v Speaker 11>You will not see them on Instagram, but you will

0:38:31.000 --> 0:38:32.719
<v Speaker 11>feel them in your life and you might not even

0:38:32.760 --> 0:38:36.040
<v Speaker 11>know that you're engaging with them. And so really these

0:38:36.120 --> 0:38:39.799
<v Speaker 11>API driven types of business models where instead of a

0:38:39.880 --> 0:38:41.800
<v Speaker 11>company or a large company having to go build a

0:38:42.120 --> 0:38:44.960
<v Speaker 11>team of one hundred different engineers, they can just partner

0:38:45.080 --> 0:38:47.759
<v Speaker 11>with a company and help that help that enhance their

0:38:47.760 --> 0:38:51.160
<v Speaker 11>technology firstus having to buy a technology, and that is

0:38:51.160 --> 0:38:52.840
<v Speaker 11>a big shift we're seeing with some of these public

0:38:52.840 --> 0:38:55.759
<v Speaker 11>companies is they're no longer buying businesses and taking that

0:38:55.840 --> 0:38:58.400
<v Speaker 11>money off the balance sheet. They're partnering with businesses and

0:38:58.400 --> 0:39:00.320
<v Speaker 11>embedding them into their current infrastruy ructure.

0:39:01.440 --> 0:39:03.839
<v Speaker 3>Fear Ventures founding partner Drew've love a great to see

0:39:03.960 --> 0:39:05.000
<v Speaker 3>with us out of New York.

0:39:05.080 --> 0:39:06.919
<v Speaker 5>Thank you so much. More to come on the show.

0:39:06.960 --> 0:39:18.719
<v Speaker 3>This is Bloomberg Technology, all right. Apple TV's got a

0:39:18.719 --> 0:39:21.520
<v Speaker 3>big boost from its Major League Soccer streaming service after

0:39:21.600 --> 0:39:25.320
<v Speaker 3>Argentine's superstar Leona Messi joined the league. That according to

0:39:25.360 --> 0:39:28.480
<v Speaker 3>The Wall Street Journal, citing antenna data, let's bring in

0:39:28.520 --> 0:39:31.880
<v Speaker 3>Antennis CEO Jonathan Carson for more. The data that you

0:39:31.920 --> 0:39:34.799
<v Speaker 3>provided is staggering. July twenty first was the first game

0:39:35.280 --> 0:39:39.080
<v Speaker 3>one hundred and ten thousand sign ups for MLS season Pass.

0:39:39.719 --> 0:39:42.240
<v Speaker 3>How does that relate to any other era or period

0:39:42.280 --> 0:39:43.480
<v Speaker 3>of sign up for Apple TV?

0:39:44.960 --> 0:39:47.959
<v Speaker 12>Well, great to be here and fun to talk about

0:39:47.960 --> 0:39:52.200
<v Speaker 12>this story because it is such a unique situation in

0:39:52.239 --> 0:39:56.800
<v Speaker 12>the streaming world. We're two decades into sports leagues rubbing

0:39:56.880 --> 0:40:03.400
<v Speaker 12>their own director consumer video subscription services, and they've become

0:40:03.480 --> 0:40:06.719
<v Speaker 12>quite mainstream, quite successful. But this is the first time

0:40:06.760 --> 0:40:10.239
<v Speaker 12>we've ever seen a mid season pop like this.

0:40:11.600 --> 0:40:13.600
<v Speaker 1>A very unique story.

0:40:13.280 --> 0:40:16.920
<v Speaker 12>Obviously, but a unique business story as well for Apple

0:40:16.960 --> 0:40:20.400
<v Speaker 12>tv Plus and for the MLS seeing a huge surge

0:40:20.400 --> 0:40:23.799
<v Speaker 12>in subscriptions five months into the season.

0:40:24.000 --> 0:40:29.240
<v Speaker 2>To that point, How replicatabile is this? I mean, Jonathan,

0:40:29.280 --> 0:40:32.480
<v Speaker 2>how wrong is the sticking power? How much can they

0:40:32.520 --> 0:40:35.040
<v Speaker 2>depend at Apple on this sort of star path? How

0:40:35.040 --> 0:40:38.240
<v Speaker 2>many other stars could ever be as an equivalent?

0:40:39.239 --> 0:40:43.239
<v Speaker 12>To be clear, there is only one Leo MESSI, so

0:40:43.400 --> 0:40:46.840
<v Speaker 12>I think this is a pretty unique case, but the

0:40:47.880 --> 0:40:52.080
<v Speaker 12>sticking power is quite strong. All of July was very

0:40:52.120 --> 0:40:55.439
<v Speaker 12>good for the service. In fact, it was about half

0:40:55.520 --> 0:40:59.760
<v Speaker 12>the signups according to our data for MLS season pass

0:41:00.200 --> 0:41:03.880
<v Speaker 12>have come of July. It also happened to be Apple

0:41:03.920 --> 0:41:08.040
<v Speaker 12>tv plus biggest month. July was their biggest month for

0:41:08.520 --> 0:41:09.799
<v Speaker 12>sign ups for the year as well.

0:41:11.120 --> 0:41:13.520
<v Speaker 3>Jonathan, what are the data do you have available to antenna?

0:41:13.840 --> 0:41:16.399
<v Speaker 3>Do you have evidence or data that all of those

0:41:16.440 --> 0:41:20.000
<v Speaker 3>sign ups retained their membership and have not canceled, for example,

0:41:20.040 --> 0:41:20.799
<v Speaker 3>by September?

0:41:22.080 --> 0:41:25.560
<v Speaker 12>We absolutely track that and so we'll see what happens

0:41:26.360 --> 0:41:28.640
<v Speaker 12>over the course of the coming months. What I will

0:41:28.680 --> 0:41:33.280
<v Speaker 12>say is that historically sports sign ups actually retained very well.

0:41:34.320 --> 0:41:36.200
<v Speaker 12>You may think people are just signing up for one

0:41:36.239 --> 0:41:40.040
<v Speaker 12>particular game, but people that sign up for sports seasons

0:41:40.160 --> 0:41:43.360
<v Speaker 12>tend to stay through the season, and because they're staying

0:41:43.360 --> 0:41:47.319
<v Speaker 12>on for several months, those services then have the opportunity

0:41:47.760 --> 0:41:50.640
<v Speaker 12>to present other programming that they might be interested in.

0:41:51.120 --> 0:41:54.000
<v Speaker 12>So historically, the churn rates for people that sign up

0:41:54.360 --> 0:41:58.120
<v Speaker 12>around big sports events are lower than churn rates for

0:41:58.440 --> 0:41:59.320
<v Speaker 12>typical members.

0:42:00.080 --> 0:42:02.600
<v Speaker 2>Only one leo MESSI but it is great to geek

0:42:02.640 --> 0:42:05.319
<v Speaker 2>out on some of the data all around it, Jonathan Cass.

0:42:05.360 --> 0:42:07.280
<v Speaker 2>I'm brilliant to have your take on the show. CEO

0:42:07.400 --> 0:42:10.479
<v Speaker 2>of Antenna come back with such rich amount of data

0:42:10.520 --> 0:42:12.719
<v Speaker 2>to the show at some other point. Meanwhile, look that

0:42:12.719 --> 0:42:14.560
<v Speaker 2>does have this edition of Bloomberg Technology ED.

0:42:15.360 --> 0:42:17.600
<v Speaker 5>Yeah, a big show to recap on our podcast.

0:42:17.719 --> 0:42:22.280
<v Speaker 3>You can find it wherever you get your podcasts, on Apple, Spotify, iHeart,

0:42:22.280 --> 0:42:24.880
<v Speaker 3>and of course we publish to all of the Bloomberg

0:42:24.880 --> 0:42:29.239
<v Speaker 3>platforms as well. From San Francisco and over in New

0:42:29.320 --> 0:42:30.320
<v Speaker 3>York City.

0:42:31.040 --> 0:42:32.360
<v Speaker 5>This is Bloomberg Technology