WEBVTT - Meta's AI Investments Pay Off, and Nvidia Shatters Records

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<v Speaker 1>From Mahard where Innovation Money and power Collie in Silicon

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<v Speaker 1>Vallet NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>Like from New York. This is Bloomberg Technology coming up.

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<v Speaker 3>AI investments, payoff for Meta details to come, and armed

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<v Speaker 3>slumps as the chip company holds off boosting its outlook.

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<v Speaker 4>We speak to the CEO Rene has plus.

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<v Speaker 3>Nvidia shatters records, adding three hundred and twenty nine billion

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<v Speaker 3>dollars to its market cap in a single session. Full

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<v Speaker 3>coverage ahead. I want to start on that meta story.

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<v Speaker 3>This is what the start looks like. You know, it's

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<v Speaker 3>basically trading as it stands on track for its biggest

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<v Speaker 3>jump since February. We know all about the capital expenditures

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<v Speaker 3>commitment slightly boosting the bottom end of the range, but

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<v Speaker 3>it looks it's like this whole AI thing is helping

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<v Speaker 3>the top line at least if you look at the

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<v Speaker 3>sales outlook for the current period. Throughout the show, we're

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<v Speaker 3>going to get a lot more on meta now. One

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<v Speaker 3>stock that's going in the other direction is the chit

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<v Speaker 3>design firm ARM.

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<v Speaker 4>I think we're down around fifteen percent as it stands.

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<v Speaker 3>They smashed it in the quarter gone relative to street expectations.

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<v Speaker 4>But the story around ARM, as we bring up the.

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<v Speaker 3>Stock here down more than fifteen percent, is simply that

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<v Speaker 3>they resisted the urge to boost their outlook, and that

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<v Speaker 3>raises some questions. The question should be answered now we

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<v Speaker 3>have ARM CEO, Rene has standing by joining us here

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<v Speaker 3>on Bloomberg Technology.

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<v Speaker 4>I mean, Renne, good morning to you. That that is

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<v Speaker 4>the story. What were the factors behind you not boosting

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<v Speaker 4>the outlook? What were the factors that made you cautious.

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<v Speaker 4>Maybe it's specific end markets, maybe it's your view of

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<v Speaker 4>the macro situation around the world.

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<v Speaker 5>Yeah, thank you, Ed, and a great question to kick

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<v Speaker 5>off with. The way I I think about it as follows.

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<v Speaker 5>This is our fourth quarter as a public company. It

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<v Speaker 5>is our fourth quarter of record revenues. As you said,

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<v Speaker 5>we smashed it last quarter, over nine hundred and thirty

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<v Speaker 5>million dollars of revenue.

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<v Speaker 1>So super happy about the quarter. Last quarter.

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<v Speaker 5>Ninety days ago, we raised the annual guidance about eight

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<v Speaker 5>to ten percent. So when we looked at the outlook

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<v Speaker 5>for the year ninety days later, coming off a great quarter,

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<v Speaker 5>we just didn't feel the need to raise expectations again.

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<v Speaker 5>So that's really just the backdrop. It's quite simple. We

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<v Speaker 5>raised the guidance for the year last quarter, record quarter

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<v Speaker 5>this quarter, and we're maintaining at this.

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<v Speaker 3>Point, Renne, is there anything you can tell me about

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<v Speaker 3>specific markets that you serve where you see some cause

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<v Speaker 3>or some hesitation, but you're also able to see whatever

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<v Speaker 3>it is holding you back working itself out.

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<v Speaker 1>Yeah.

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<v Speaker 5>Remember ed that we have two components to our business.

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<v Speaker 5>We had the licensing business and the royalty business. The

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<v Speaker 5>licensing business, which is really the forward indicator of demand

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<v Speaker 5>for armed technology, never been stronger. The licensing revenue year

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<v Speaker 5>on year up seventy percent. What's driving that, that's demand

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<v Speaker 5>for building new complex chips, more demand for arm more

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<v Speaker 5>compute capability, so that is a harborager of forward type

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<v Speaker 5>of demand. Royalties were also up year on year almost

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<v Speaker 5>twenty percent, largely driven by smartphone growth where units have

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<v Speaker 5>been modest, but our new version nine is driving high

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<v Speaker 5>royalty growth. So in general, we're very very optimistic about

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<v Speaker 5>the long term outlook, particularly because of the licensing activity

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<v Speaker 5>being so strong.

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<v Speaker 3>One of the areas you know that I cover a

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<v Speaker 3>bit more deeply is automotive technology, and I'm just trying

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<v Speaker 3>to draw parallels with different names out there understand what's happening.

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<v Speaker 3>Mobili told us this morning, for example, that particularly in China,

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<v Speaker 3>but globally, some of their customers just stop making orders

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<v Speaker 3>for the second half of this year. I understand that

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<v Speaker 3>from arms perspective different Right you think about the pipeline

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<v Speaker 3>of a specific chit that you're involved in the design of,

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<v Speaker 3>it's much further afield longer term. But do you see

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<v Speaker 3>in that industry in particular any sort of either cyclical

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<v Speaker 3>process happening or some specific weakness.

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<v Speaker 5>Now, I think the way we think about the automotive

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<v Speaker 5>market is we are growing faster in terms of demand

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<v Speaker 5>for our technology than the market itself. So we were

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<v Speaker 5>actually up double digits last quarter in automotive royalties, and

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<v Speaker 5>that's really a function of a gaining market share, But

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<v Speaker 5>more importantly, the quality of the technology that's going in

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<v Speaker 5>is much higher. These are more complex compute platform devices.

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<v Speaker 5>They run a lot of software, whether it's for ibiev autonomous.

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<v Speaker 5>So we're very, very bullish about the long term automotive outlook.

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<v Speaker 5>The near term inventory issues that go back and forth,

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<v Speaker 5>we haven't been impacted by that so much because, as

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<v Speaker 5>I said, we're gaining share and the complexity of our

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<v Speaker 5>own technology being used just keeps going up.

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<v Speaker 3>Rennie, I don't know if you'd agree, but I think

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<v Speaker 3>the common theme of this earning season is capital expenditures

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<v Speaker 3>relating to infrastructure for AI. And my question simply is

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<v Speaker 3>what direct benefit does ARM get from any of that

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<v Speaker 3>process or investment cycle.

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<v Speaker 5>Yeah, thank you for the question. We get a bit

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<v Speaker 5>of a dual benefit. There is a lot of capex

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<v Speaker 5>going into overall infrastructure scale out, there's general purpose compute.

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<v Speaker 5>ARMED benefits there because our low cost, low power processors

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<v Speaker 5>are very very efficient in terms of building data centers.

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<v Speaker 5>You have AWS, you have Microsoft, you have Google. They've

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<v Speaker 5>all announced products based on ARM. And then you have

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<v Speaker 5>the AI data centers, which are very very complex, require

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<v Speaker 5>a high degree of customization. Power efficiency even more important there,

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<v Speaker 5>and that's been a great tailwind for our business. Just

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<v Speaker 5>look at what Nvidia announced with Grace Blackwell, a very

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<v Speaker 5>very complex not only chip but based on ARM, using

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<v Speaker 5>their most advanced GPUs to drive the most complex AI

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<v Speaker 5>data centers. So for US, we broadly view this AI

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<v Speaker 5>capex expenditures as a tailwind for the business.

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<v Speaker 3>Rennie, you mentioned Grace Blackwell, it takes me to one

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<v Speaker 3>of our audience questions. When I said you were coming

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<v Speaker 3>on the show on social media, I actually got quite

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<v Speaker 3>a number of submissions for you, and one is straightforward.

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<v Speaker 3>Does ARM plan to design its own accelerator to compete

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<v Speaker 3>I guess against some of the partners that you're with

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<v Speaker 3>or out in the marketplace.

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<v Speaker 5>Yeah, no product announcements today, ed, Sorry, We're just here

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<v Speaker 5>to kind of talk about the past quarter and our

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<v Speaker 5>outlook going forward.

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<v Speaker 3>No products announcement that that would indicate from a source

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<v Speaker 3>of I suppose academic or R and D standpoint that

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<v Speaker 3>you at least think about it.

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<v Speaker 5>We think about a lot of things, right, I mean,

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<v Speaker 5>our technology, as broad as it is, as many markets

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<v Speaker 5>as we can play in. My job is to think

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<v Speaker 5>about a lot of things. So I think that's a

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<v Speaker 5>safe statement.

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<v Speaker 3>Away from the sort of scale of infrastructure data centers,

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<v Speaker 3>I think the AIPC is something that's pretty much dominated

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<v Speaker 3>the news cycle so far in twenty twenty four. One

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<v Speaker 3>of the other audience questions was when do we see

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<v Speaker 3>sort of a truly competitive ARM based Windows product that

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<v Speaker 3>can take on the performance of Max or Apple's owned

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<v Speaker 3>Silicon that goes into a MAC. I know that you

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<v Speaker 3>think about this field a lot. But on the competition side,

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<v Speaker 3>what do you make of that question?

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<v Speaker 5>Yeah, so I want to be respectful of my great

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<v Speaker 5>partner Apple and their ecosystem, but there are some great

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<v Speaker 5>products out there today. Dell XPS has some amazing technology.

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<v Speaker 5>The battery life I think I was reading online. In fact,

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<v Speaker 5>I was looking to buy one of them. The advertised

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<v Speaker 5>battery life is nineteen hours now for a Windows machine.

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<v Speaker 5>That's rather unprecedented in terms of battery life. All day

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<v Speaker 5>use don't need a brick. So Dell and Michael and

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<v Speaker 5>his team have done an amazing job developing some great products.

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<v Speaker 5>So I think there are great products out there today.

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<v Speaker 3>So all of the AIPC announcements, are there any examples

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<v Speaker 3>of things that actually sort of translate into revenue for ARM?

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<v Speaker 5>Well, again, when you think about AIPCS running on ARM,

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<v Speaker 5>that's revenue fore ARM, and I think we're you know,

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<v Speaker 5>the way we think about the AIPC Windows on our

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<v Speaker 5>market is probably less about the shipments this quarter, but

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<v Speaker 5>the long term trajectory. I think what you're now seeing

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<v Speaker 5>is single suppliers that are in the market today. We've

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<v Speaker 5>heard from a lot of sources that in the upcoming

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<v Speaker 5>years there's going to be more and more vendors building

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<v Speaker 5>chips for the Windows on our market. That's just going

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<v Speaker 5>to be great for us because not only does it

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<v Speaker 5>fill out the choices of units for the end market,

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<v Speaker 5>but it's going to drive growth for US. So I

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<v Speaker 5>said a few months ago that I thought ARM could

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<v Speaker 5>be a fifty percent market share in the Windows market

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<v Speaker 5>in five years. I do believe that we're about one

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<v Speaker 5>hundred percent of the Apple operating system, so fifty percent

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<v Speaker 5>of the Windows market doesn't seem too ambitious.

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<v Speaker 3>In five year, four quarters ago, probably in a number

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<v Speaker 3>of years ago, you and I might have started a

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<v Speaker 3>conversation talking about the smartphone market.

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<v Speaker 4>So we'll end there.

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<v Speaker 3>You know what's going on in the smartphone market right

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<v Speaker 3>now and whatever is happening as sort of an industry

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<v Speaker 3>wide level, Is there anything specific relating to ARM or

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<v Speaker 3>the high end of the smartphone market VISA v sort

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<v Speaker 3>of lower end models the middle market that you can

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<v Speaker 3>tell me about.

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<v Speaker 5>Yeah, I don't want to sound like a broken record

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<v Speaker 5>saying the trends that are going on in the smartphone

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<v Speaker 5>market are good for ARM, but I'm going to say that,

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<v Speaker 5>because what we're seeing in the smartphone market is while

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<v Speaker 5>unit growth has been modest, single digits, there's been significant

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<v Speaker 5>growth in the premium segment, the high end, and for

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<v Speaker 5>ARM that's where we draw the highest level of revenue.

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<v Speaker 5>The reason for that is we use Version nine up

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<v Speaker 5>in that area of the stack. That's a much higher

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<v Speaker 5>royalty rate than the previous version. And those Version nine

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<v Speaker 5>smartphones in the premium space, they use a lot of

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<v Speaker 5>ARMED processors, in some cases twelve four or fourteen sixteen,

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<v Speaker 5>depending on the mix. So it's a true compute platform

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<v Speaker 5>solution which drives growth for us, which is why in

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<v Speaker 5>the last quarter, where units were single digits, our smartphone

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<v Speaker 5>royalties were up fifty percent year on year.

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<v Speaker 3>I had a similar conversation with Lisa suve AMD yesterday.

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<v Speaker 3>But is that a reflective of a broad market movement

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<v Speaker 3>or is it something special ARMS doing to outperform in

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<v Speaker 3>the market.

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<v Speaker 5>I think it's a combination of both. You know, a

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<v Speaker 5>number of years ago with Version nine, we added some

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<v Speaker 5>significant compute capability that was really to drive performance. Now,

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<v Speaker 5>what we're seeing, particularly in the near term and going forward,

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<v Speaker 5>is the skws that are being built. People are trying

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<v Speaker 5>to put as much compute performance as possible in those phones.

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<v Speaker 5>You know, for example, when you think about the large

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<v Speaker 5>language models such as Lama or Gemini. When those phones

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<v Speaker 5>were developed, those models didn't even exist. So not only

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<v Speaker 5>are you having to run all the complex software the

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<v Speaker 5>camera apps, but now you want to run an AI workload.

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<v Speaker 5>So people are just put as much compute as possible

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<v Speaker 5>in those high end ships, which is good for us.

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<v Speaker 3>Rennie Haas, CEO of thank you very much, And for

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<v Speaker 3>what it's worth, the stock hit session low down sixteen

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<v Speaker 3>point two percent during that conversation, but a lot learned.

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<v Speaker 4>Let's stick with earnings and look at Etsy.

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<v Speaker 3>Which released their second quarter earnings on Wednesday after the

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<v Speaker 3>closing bell. It's the CEO, Josh Silverman, join me. Let's

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<v Speaker 3>talk about it. Have listened to this.

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<v Speaker 6>We're really proud of the fact that in an environment

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<v Speaker 6>where we're really swimming upstream with a really tough macro,

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<v Speaker 6>and I think the story of this quarter has been

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<v Speaker 6>for discretionary products in particular. It's a tough it's a

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<v Speaker 6>tough time.

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<v Speaker 4>And that's hitting the consumer directly.

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<v Speaker 6>Basically, it's hitting the consumer directly. Wells Fargo published a

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<v Speaker 6>report just recently saying sixty percent of American say that

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<v Speaker 6>by the time they're done paying their essential bills, they

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<v Speaker 6>have very little money left over for anything else. And

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<v Speaker 6>yet we are actually maintaining, you know, we have roughly

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<v Speaker 6>the same number of active biuses are all time high

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<v Speaker 6>ninety one and a half million. We came in actually

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<v Speaker 6>above the top of our guide or at the top

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<v Speaker 6>of our guide on every metric, So we're really proud

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<v Speaker 6>of how we're doing, and we're aware that it's a

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<v Speaker 6>super vollato macro. But in this time when we're swimming

0:12:11.280 --> 0:12:14.719
<v Speaker 6>upstream and maintaining, we're building muscle that we know is

0:12:14.760 --> 0:12:17.280
<v Speaker 6>going to make us stronger, and most importantly, we're not

0:12:17.360 --> 0:12:18.840
<v Speaker 6>letting ourselves be dragged down.

0:12:19.120 --> 0:12:20.319
<v Speaker 1>We're in a moment where.

0:12:20.120 --> 0:12:22.120
<v Speaker 6>There's a race to the bottom right now around who

0:12:22.120 --> 0:12:25.720
<v Speaker 6>can sell things the cheapest, and Etsy is not focused

0:12:25.720 --> 0:12:28.880
<v Speaker 6>on that. We're focused on making ets even more. Etsy

0:12:28.960 --> 0:12:31.840
<v Speaker 6>leaning into our point of differentiation, and to your point

0:12:31.840 --> 0:12:34.000
<v Speaker 6>about AI AI is going to be so helpful for

0:12:34.120 --> 0:12:36.560
<v Speaker 6>us because, as you know, there's over one hundred and

0:12:36.559 --> 0:12:39.800
<v Speaker 6>twenty million things for sale on Etsy, and every single

0:12:39.840 --> 0:12:41.560
<v Speaker 6>one of them is unique, Every single one of them

0:12:41.640 --> 0:12:44.200
<v Speaker 6>is made just for you, so organizing that in a

0:12:44.200 --> 0:12:47.600
<v Speaker 6>way that's easy to navigate is a very tough challenge.

0:12:47.600 --> 0:12:49.920
<v Speaker 6>There's no army of humans you could hire to do that,

0:12:50.320 --> 0:12:53.880
<v Speaker 6>but lms are really good at organizing huge amounts of

0:12:53.880 --> 0:12:56.800
<v Speaker 6>information in a way that's easy for humans to understand.

0:12:58.280 --> 0:12:59.839
<v Speaker 4>That was at CCO, Josh.

0:13:00.120 --> 0:13:04.319
<v Speaker 3>They're coming up Meta to the rescue, delivery on earnings

0:13:04.679 --> 0:13:08.440
<v Speaker 3>and easing some of those big tech growth concerns. Stock

0:13:08.520 --> 0:13:11.719
<v Speaker 3>up almost seven percent, But let's talk about this is

0:13:11.720 --> 0:13:15.920
<v Speaker 3>bloombog technology.

0:13:22.080 --> 0:13:24.600
<v Speaker 5>There are all the jokes about how all the tech

0:13:24.679 --> 0:13:26.640
<v Speaker 5>CEOs get on these earnings calls and just talk about

0:13:26.679 --> 0:13:27.400
<v Speaker 5>AI the whole time.

0:13:27.400 --> 0:13:28.720
<v Speaker 1>It's because it's actually.

0:13:28.400 --> 0:13:31.160
<v Speaker 5>Super exciting and it's going to change all these different

0:13:31.160 --> 0:13:32.480
<v Speaker 5>things over multiple time arise.

0:13:33.960 --> 0:13:36.200
<v Speaker 3>I think we should probably update that photo. That was

0:13:36.240 --> 0:13:39.200
<v Speaker 3>Mark Zuckerberg, the Meta CEO. He doesn't look like that anymore.

0:13:39.600 --> 0:13:42.800
<v Speaker 3>Meta posting better than expected Q two results and it

0:13:43.240 --> 0:13:47.560
<v Speaker 3>signals that the company's AI investments are starting to pay off,

0:13:47.960 --> 0:13:50.840
<v Speaker 3>triggering the stocks biggest one day rally in around five months.

0:13:50.840 --> 0:13:53.320
<v Speaker 3>That level seven percent, game on track for his.

0:13:53.320 --> 0:13:54.520
<v Speaker 4>Biggest jumps in February.

0:13:54.600 --> 0:13:57.880
<v Speaker 3>Let's get right out to our meta reporter Cut Wagner.

0:13:58.000 --> 0:14:00.320
<v Speaker 3>I mean that was the question. You spend all this

0:14:00.480 --> 0:14:03.320
<v Speaker 3>money and the CAPEX number at the bottom end of

0:14:03.320 --> 0:14:06.199
<v Speaker 3>the range slightly boosted, But does it help you make

0:14:06.240 --> 0:14:09.200
<v Speaker 3>money in the sort of normal areas of your business?

0:14:09.480 --> 0:14:09.800
<v Speaker 4>Did it.

0:14:11.440 --> 0:14:11.520
<v Speaker 1>Well?

0:14:11.600 --> 0:14:13.800
<v Speaker 7>This is the story that they're trying to tell, right,

0:14:13.880 --> 0:14:18.160
<v Speaker 7>which is that AI investment is impacting their current ads business.

0:14:18.240 --> 0:14:22.360
<v Speaker 7>It's making their ads more relevant, it's helping advertisers even

0:14:22.400 --> 0:14:26.480
<v Speaker 7>create new ads with gen AI tools. It's helping the timeline,

0:14:26.520 --> 0:14:29.400
<v Speaker 7>it's giving people more relevant content, so they're sticking around longer.

0:14:29.480 --> 0:14:31.480
<v Speaker 7>This is the narrative that they're trying to tell on

0:14:31.520 --> 0:14:34.320
<v Speaker 7>the more immediate side and the challenge of courses. As

0:14:34.320 --> 0:14:36.640
<v Speaker 7>you point out, they're investing very heavily in the future

0:14:36.680 --> 0:14:39.040
<v Speaker 7>as well, and so they're trying to balance like, hey,

0:14:39.160 --> 0:14:41.480
<v Speaker 7>the AI is paying off now, but it will also

0:14:41.880 --> 0:14:43.800
<v Speaker 7>pay off in a couple of years when these glasses,

0:14:43.840 --> 0:14:46.560
<v Speaker 7>these large language models, the metaverse comes to fruition. It's

0:14:46.560 --> 0:14:48.520
<v Speaker 7>a tough balance for them, but they were able to

0:14:48.520 --> 0:14:50.680
<v Speaker 7>sort of do that with the Q two earnings.

0:14:50.320 --> 0:14:52.440
<v Speaker 3>This week, we're just showing the numbers or the revenue

0:14:52.480 --> 0:14:54.640
<v Speaker 3>numbers by business line, and I think that's the bit

0:14:54.680 --> 0:14:56.720
<v Speaker 3>that we're trying to understand. You and I have all

0:14:56.720 --> 0:15:00.600
<v Speaker 3>these conversations with very smart people outside of Meta who

0:15:00.640 --> 0:15:03.360
<v Speaker 3>give them a lot of credit for their work in

0:15:03.400 --> 0:15:06.120
<v Speaker 3>the field of large language models and the future applications

0:15:06.120 --> 0:15:09.040
<v Speaker 3>of generative AI. But it seems like the story here

0:15:09.080 --> 0:15:11.880
<v Speaker 3>is that it's really helping advertising, which is what they've

0:15:11.880 --> 0:15:13.840
<v Speaker 3>been basing their business on all along.

0:15:15.240 --> 0:15:17.240
<v Speaker 7>Yeah, and it's not as sexy as a story, right,

0:15:17.280 --> 0:15:20.280
<v Speaker 7>because it's like, Hey, investing billions and billions of dollars

0:15:20.280 --> 0:15:23.960
<v Speaker 7>into these large language models is going to improve the

0:15:24.120 --> 0:15:27.080
<v Speaker 7>ROI on our ads product is not really the exciting

0:15:27.440 --> 0:15:29.320
<v Speaker 7>AI story that a lot of people want to hear.

0:15:29.720 --> 0:15:33.080
<v Speaker 7>You know, that's chatbots, that's AI smart glasses and assistants

0:15:33.080 --> 0:15:35.280
<v Speaker 7>and things like that. But I do think there's an

0:15:35.280 --> 0:15:37.920
<v Speaker 7>element of this investment that is paying off more in

0:15:37.960 --> 0:15:40.320
<v Speaker 7>the short term. We heard a lot about that yesterday,

0:15:40.720 --> 0:15:43.800
<v Speaker 7>But I don't think that's what gets Mark Zuckerberg as excited, Right,

0:15:43.880 --> 0:15:46.280
<v Speaker 7>That's a necessity, that's what's going to fuel and fund

0:15:46.400 --> 0:15:49.000
<v Speaker 7>these bigger visions he has. But I really think you know,

0:15:49.040 --> 0:15:51.880
<v Speaker 7>when he talks about AI, he's predominantly talking about this

0:15:52.040 --> 0:15:55.360
<v Speaker 7>futuristic technology, this next wave of this next computing platform

0:15:55.400 --> 0:15:56.920
<v Speaker 7>that he really wants Meta to own.

0:15:57.280 --> 0:15:58.000
<v Speaker 4>Just really quick.

0:15:58.160 --> 0:16:00.760
<v Speaker 3>Our audience around the world will have different relationships with

0:16:00.840 --> 0:16:03.880
<v Speaker 3>Meta in its products. But I found the data on

0:16:03.960 --> 0:16:07.120
<v Speaker 3>growth across the family of apps or family of products

0:16:07.400 --> 0:16:10.240
<v Speaker 3>really interesting. Why is that going well?

0:16:12.040 --> 0:16:12.400
<v Speaker 8>Well?

0:16:12.640 --> 0:16:14.760
<v Speaker 7>I mean, they have WhatsApp, I think is sort of

0:16:14.760 --> 0:16:16.320
<v Speaker 7>a secret weapon that a lot of people don't think

0:16:16.320 --> 0:16:18.680
<v Speaker 7>about because it's not as big a part of the business, right.

0:16:18.960 --> 0:16:20.560
<v Speaker 7>But I think this is also just to the stain

0:16:20.680 --> 0:16:23.360
<v Speaker 7>power of the core network Facebook and Instagram. It's like

0:16:23.400 --> 0:16:25.600
<v Speaker 7>these are products that are still growing, that are still

0:16:25.640 --> 0:16:29.440
<v Speaker 7>finding new people despite years and decades of existence. And

0:16:29.680 --> 0:16:31.560
<v Speaker 7>you know, they're adding threads to the mix now too.

0:16:31.600 --> 0:16:33.760
<v Speaker 7>I don't think that's counted in that daily act of

0:16:33.800 --> 0:16:36.960
<v Speaker 7>people tally, but eventually it will be. And Mark Zuckerberg

0:16:37.000 --> 0:16:39.480
<v Speaker 7>was talking about that with a lot of praise yesterday

0:16:39.480 --> 0:16:40.320
<v Speaker 7>on the Earnians.

0:16:40.000 --> 0:16:43.320
<v Speaker 3>Call Bloomber's Kurt Wagner, thank you very much. Now, the

0:16:43.360 --> 0:16:45.440
<v Speaker 3>other sext we're looking at is chips. The US is

0:16:45.480 --> 0:16:50.800
<v Speaker 3>weighing unilateral restrictions on China's access to AI memory chips

0:16:50.800 --> 0:16:54.720
<v Speaker 3>and equipment capable of making those semiconductors as soon as

0:16:54.840 --> 0:16:59.000
<v Speaker 3>next month. Back with her latest reporting, Bloomberg's Mackenzie Hawkins

0:16:59.640 --> 0:17:02.240
<v Speaker 3>actually quite a lot about this on Bloomberg Technology that

0:17:02.400 --> 0:17:04.920
<v Speaker 3>you know, for all the hype around AI and the GPU,

0:17:05.640 --> 0:17:08.199
<v Speaker 3>you've got to have that high bandwidth memory access as

0:17:08.240 --> 0:17:11.040
<v Speaker 3>well to make it competitive. Just give me the basics

0:17:11.040 --> 0:17:13.760
<v Speaker 3>of what you've reported and when it's happening.

0:17:15.240 --> 0:17:18.080
<v Speaker 9>So the US government recognizes that too, that you can't

0:17:18.119 --> 0:17:21.160
<v Speaker 9>make it in video GPU work without access to memory,

0:17:21.359 --> 0:17:25.520
<v Speaker 9>and officials have been considering for months, adding to the restrictions.

0:17:25.040 --> 0:17:27.480
<v Speaker 8>That they've already replaced on China's access to.

0:17:27.480 --> 0:17:30.240
<v Speaker 9>Logic chips, which are the brains of devices to attack

0:17:30.280 --> 0:17:33.840
<v Speaker 9>the memory side, which handles data storage. And they're working

0:17:33.880 --> 0:17:37.159
<v Speaker 9>on this massive export controls package, probably the most significant

0:17:37.160 --> 0:17:39.720
<v Speaker 9>one that we've seen since the October twenty twenty two

0:17:39.800 --> 0:17:42.560
<v Speaker 9>rules initially rolled out and sort of changed the global

0:17:42.600 --> 0:17:47.160
<v Speaker 9>landscape for semiconductors. This list could include restrictions on high

0:17:47.200 --> 0:17:50.840
<v Speaker 9>bandwidth memory above the two point zero generation, so capturing

0:17:50.880 --> 0:17:55.160
<v Speaker 9>Samsung SKHINEX and Micron's latest models, also on the tools

0:17:55.240 --> 0:17:56.280
<v Speaker 9>used to make those chips.

0:17:56.600 --> 0:17:59.160
<v Speaker 8>Then there's a separate massive restriction.

0:17:58.800 --> 0:18:02.520
<v Speaker 9>On additional tools and mint used across the industry that

0:18:02.600 --> 0:18:05.040
<v Speaker 9>would primarily affect US equipment companies.

0:18:05.080 --> 0:18:07.320
<v Speaker 8>So think Lam Applied material.

0:18:07.280 --> 0:18:10.920
<v Speaker 9>KLA with carveouts for their Japanese and Dutch rivals.

0:18:10.920 --> 0:18:13.840
<v Speaker 8>So this is really a massive package. It's what will

0:18:13.880 --> 0:18:14.440
<v Speaker 8>probably be.

0:18:14.440 --> 0:18:17.720
<v Speaker 9>The Biden administration's last big swing in this space, and

0:18:17.760 --> 0:18:19.280
<v Speaker 9>it could be unveiled as soon as a couple weeks

0:18:19.280 --> 0:18:19.640
<v Speaker 9>from now.

0:18:19.880 --> 0:18:23.520
<v Speaker 3>The strategy to make US chip sector more competitive is

0:18:23.560 --> 0:18:27.720
<v Speaker 3>two sides, restrictions like you just outlined and incentives. And

0:18:27.760 --> 0:18:31.160
<v Speaker 3>the other big story you reported was one name, Applied

0:18:31.200 --> 0:18:35.640
<v Speaker 3>Materials not getting access to funds in incentives.

0:18:37.280 --> 0:18:39.960
<v Speaker 9>Right, So we have the expert control side of the coin,

0:18:40.840 --> 0:18:42.359
<v Speaker 9>and we also have the Chips.

0:18:42.080 --> 0:18:45.040
<v Speaker 8>Act, which is a thirty nine billion dollar subsidy.

0:18:44.600 --> 0:18:47.760
<v Speaker 9>Program designed to bring chip manufacturing back to US soil.

0:18:48.320 --> 0:18:51.639
<v Speaker 9>And so far we've seen over almost ninety percent of

0:18:51.680 --> 0:18:55.919
<v Speaker 9>the funding committed to names like Intel, Samsung, TSMC, and

0:18:56.040 --> 0:18:59.040
<v Speaker 9>Micron for these massive commercial fabrication facilities.

0:18:59.480 --> 0:19:00.600
<v Speaker 8>But more more than six.

0:19:00.600 --> 0:19:03.080
<v Speaker 9>Hundred and seventy companies expressed interest in the funding, so

0:19:03.080 --> 0:19:03.919
<v Speaker 9>there were always going to be.

0:19:04.560 --> 0:19:05.679
<v Speaker 8>Companies that didn't get it.

0:19:06.080 --> 0:19:09.040
<v Speaker 9>The biggest name perhaps among them is Applied Materials. They

0:19:09.040 --> 0:19:12.359
<v Speaker 9>have this four billion dollar research and development project that

0:19:12.400 --> 0:19:14.840
<v Speaker 9>they're working on in Sunny Vale and they had hoped

0:19:14.880 --> 0:19:15.960
<v Speaker 9>to get government.

0:19:15.640 --> 0:19:16.320
<v Speaker 8>Support for that.

0:19:16.680 --> 0:19:18.960
<v Speaker 9>Unfortunately that didn't work out for them after the US

0:19:19.040 --> 0:19:22.200
<v Speaker 9>scrapped part of that grant program that was specifically designated

0:19:22.200 --> 0:19:24.639
<v Speaker 9>for commercial r and D because of infighting about a

0:19:24.640 --> 0:19:27.880
<v Speaker 9>separate program on military ships. So not a great piece

0:19:27.920 --> 0:19:30.439
<v Speaker 9>of news for Applied Materials, and they've always said that

0:19:30.480 --> 0:19:32.680
<v Speaker 9>the scope of that project will depend on US governments.

0:19:32.760 --> 0:19:35.200
<v Speaker 3>Mackenzie just very quickly, is there any money left then

0:19:35.240 --> 0:19:36.119
<v Speaker 3>from the Chips actor.

0:19:36.119 --> 0:19:37.280
<v Speaker 4>It's now all accounted for.

0:19:38.680 --> 0:19:40.840
<v Speaker 9>There's a bit left, something on the order of six

0:19:40.880 --> 0:19:41.960
<v Speaker 9>billion to allocate.

0:19:42.359 --> 0:19:44.760
<v Speaker 8>We should expect to see converce actor.

0:19:44.840 --> 0:19:47.600
<v Speaker 9>Romando has said that we'll see announcements through the end

0:19:47.640 --> 0:19:49.240
<v Speaker 9>of the year eating up all of that funding.

0:19:49.840 --> 0:19:51.560
<v Speaker 8>And after we've seen announcements to the.

0:19:51.560 --> 0:19:54.840
<v Speaker 9>Major big foundaries, we'll probably expect to see a lot

0:19:54.840 --> 0:19:57.000
<v Speaker 9>of smaller supply chain investments between now and.

0:19:57.000 --> 0:19:57.680
<v Speaker 1>The end of the year.

0:19:57.800 --> 0:20:01.000
<v Speaker 3>Bloombergs Mackenzie. Hawk is very busy with a lot of reporting.

0:20:01.080 --> 0:20:10.520
<v Speaker 4>Thank you. It's time now for talking tech.

0:20:10.560 --> 0:20:13.600
<v Speaker 3>First up Olympic partner Atos reported a loss of two

0:20:13.680 --> 0:20:16.320
<v Speaker 3>point one billion dollars for the first half of the

0:20:16.400 --> 0:20:19.760
<v Speaker 3>year on weaker customer demand. The French IT company has

0:20:19.760 --> 0:20:23.520
<v Speaker 3>struggled with debts, accounting errors, and industry wide headwinds that

0:20:23.520 --> 0:20:26.560
<v Speaker 3>has wiped out nearly fourteen billion dollars of its market

0:20:26.640 --> 0:20:30.800
<v Speaker 3>value over the past seven years plus. Reddit acquires startup

0:20:31.160 --> 0:20:35.440
<v Speaker 3>Memorable AI in its first acquisition since going public in March.

0:20:35.520 --> 0:20:39.520
<v Speaker 3>The startup uses generative AI to help marketers create better

0:20:39.600 --> 0:20:43.760
<v Speaker 3>ads with more effective text, images, and videos. Reddit says

0:20:43.920 --> 0:20:47.000
<v Speaker 3>the acquisition would improve the quality of its ads on

0:20:47.040 --> 0:20:50.600
<v Speaker 3>their service, and Samsung's chips boss issues a warning saying

0:20:50.640 --> 0:20:51.360
<v Speaker 3>the company.

0:20:51.240 --> 0:20:54.240
<v Speaker 4>Get be at risk of getting a quote.

0:20:54.040 --> 0:20:57.760
<v Speaker 3>Vicious cycle if it doesn't revamp its workplace culture. In

0:20:57.800 --> 0:21:00.840
<v Speaker 3>an unusually harsh memo to employees, the head of the

0:21:00.880 --> 0:21:01.879
<v Speaker 3>chip division.

0:21:01.520 --> 0:21:04.320
<v Speaker 4>Said Samsung must take steps.

0:21:04.119 --> 0:21:08.600
<v Speaker 3>To eradicate com communication barriers and stop quote hiding or

0:21:08.640 --> 0:21:12.040
<v Speaker 3>avoiding problems. The letter comes after recent missteps by the

0:21:12.080 --> 0:21:15.840
<v Speaker 3>company in supplying memory chips for AI. Now coming up,

0:21:15.920 --> 0:21:18.800
<v Speaker 3>we're going to be joined by Denny Fish, portfolio manager

0:21:18.880 --> 0:21:21.879
<v Speaker 3>at Janis Henderson to dive deeper into meta and the

0:21:21.920 --> 0:21:26.080
<v Speaker 3>other tech earnings real quick check on shares of Mobilize.

0:21:26.160 --> 0:21:30.360
<v Speaker 3>So this is the Jerusalem, Israel based maker of chips

0:21:30.560 --> 0:21:34.520
<v Speaker 3>for advanced driver assistance systems that stock down twenty percent,

0:21:34.920 --> 0:21:38.520
<v Speaker 3>trading at a record low. Why because two h it

0:21:38.600 --> 0:21:43.159
<v Speaker 3>downgroaded its its revenue outlook, its automotive customers stop placing orders.

0:21:43.560 --> 0:21:54.359
<v Speaker 3>This is Bloomberg Technology. Welcome back to Bloomberg Technology, Ed

0:21:54.440 --> 0:21:55.440
<v Speaker 3>Ludlow here.

0:21:55.320 --> 0:21:55.840
<v Speaker 4>In New York.

0:21:55.880 --> 0:21:57.880
<v Speaker 3>We're going to check in on the markets. Big tech

0:21:57.920 --> 0:22:02.080
<v Speaker 3>earnings in focus this week, Met posting better than expected

0:22:02.119 --> 0:22:05.560
<v Speaker 3>quarterly results, helped by new investments in AI. The attention

0:22:06.160 --> 0:22:11.200
<v Speaker 3>now turning to Apple, Amazon, both reporting after the closing bell.

0:22:11.280 --> 0:22:13.960
<v Speaker 4>But let's stick with the equity story then, as that.

0:22:13.920 --> 0:22:18.080
<v Speaker 3>One hundred pulling back after a monster rally led by

0:22:18.240 --> 0:22:22.119
<v Speaker 3>Nvidia on Wednesday, the stock recording its biggest advance in

0:22:22.160 --> 0:22:26.240
<v Speaker 3>over five months. And here's the bit, adding a record

0:22:26.320 --> 0:22:29.840
<v Speaker 3>three hundred and twenty nine billion dollars to its market cap,

0:22:30.160 --> 0:22:35.960
<v Speaker 3>destroying the single day record that it had previously already owned.

0:22:36.200 --> 0:22:38.720
<v Speaker 3>There's a lot to talk about. Let's keep the conversation going.

0:22:38.800 --> 0:22:42.679
<v Speaker 3>Denny Fish is portfolio manager at Janis Henderson Investors, and

0:22:43.160 --> 0:22:46.879
<v Speaker 3>let's start with Nvidia. We say it's a moment in

0:22:46.960 --> 0:22:50.119
<v Speaker 3>market's history. It broke its own record, but it's one

0:22:50.119 --> 0:22:52.560
<v Speaker 3>of the bigger positions you hold, Denny. So when you

0:22:52.560 --> 0:22:55.199
<v Speaker 3>see the red headline on the Bloomberg terminal, how do

0:22:55.320 --> 0:22:55.960
<v Speaker 3>you react?

0:22:55.960 --> 0:22:57.320
<v Speaker 4>How does that make you think?

0:22:58.680 --> 0:22:58.840
<v Speaker 1>Well?

0:22:58.880 --> 0:23:03.160
<v Speaker 10>I think you know, in Vidia has been a remarkable

0:23:03.240 --> 0:23:06.200
<v Speaker 10>stock for the last year and a half, and that's

0:23:06.240 --> 0:23:10.359
<v Speaker 10>primarily been because of the financial performance. I mean, the

0:23:10.480 --> 0:23:13.840
<v Speaker 10>ramp and revenues that we've seen with its AI chips

0:23:13.840 --> 0:23:18.160
<v Speaker 10>and GPUs is like nothing we've ever seen before. And

0:23:18.840 --> 0:23:21.919
<v Speaker 10>you know, where the market's at right now, it's really

0:23:22.000 --> 0:23:25.199
<v Speaker 10>this push and pull and what we've seen if you

0:23:25.280 --> 0:23:29.480
<v Speaker 10>just look at the hyperscaler earning so far and particularly

0:23:29.560 --> 0:23:32.800
<v Speaker 10>the cap X forecast, the market is just really hinging

0:23:32.840 --> 0:23:35.440
<v Speaker 10>on every word that we're hearing. And you know, effectively,

0:23:35.440 --> 0:23:39.960
<v Speaker 10>what we've heard is that nobody's blinking. And you have

0:23:40.080 --> 0:23:43.119
<v Speaker 10>seen Capex go up at Google. You've seen Capex go

0:23:43.240 --> 0:23:47.120
<v Speaker 10>up at Microsoft, and you're seeing Capex go up at Meta,

0:23:47.160 --> 0:23:50.240
<v Speaker 10>and all of those companies seem to be implying that

0:23:50.280 --> 0:23:52.960
<v Speaker 10>there's no end in sight at least, you know, through

0:23:53.000 --> 0:23:55.880
<v Speaker 10>twenty twenty five, and that should be good for Nvidia,

0:23:56.160 --> 0:23:58.760
<v Speaker 10>and you know it's you know, if we actually look

0:23:58.800 --> 0:24:00.720
<v Speaker 10>at the other data points in the end, you no,

0:24:00.880 --> 0:24:05.119
<v Speaker 10>AMD just reported and the numbers were fine, but you know,

0:24:05.160 --> 0:24:10.159
<v Speaker 10>it's really just a really really small fraction of the

0:24:10.200 --> 0:24:13.840
<v Speaker 10>amount of AI related chips that in video's selling and

0:24:13.920 --> 0:24:18.000
<v Speaker 10>in videos embarking on. It's probably its most significant product

0:24:18.040 --> 0:24:22.080
<v Speaker 10>cycle ever with blackwell as it goes to a full system's.

0:24:21.720 --> 0:24:22.600
<v Speaker 1>Approach this far.

0:24:23.040 --> 0:24:25.600
<v Speaker 3>So actually I ask you that about that specific point.

0:24:25.960 --> 0:24:29.080
<v Speaker 3>You know, I've discussed with Gensen one the annual cadence

0:24:29.119 --> 0:24:32.239
<v Speaker 3>of new product refresh. But the bit that's kind of

0:24:32.320 --> 0:24:35.719
<v Speaker 3>concerning or hard to understand is what about all those companies,

0:24:36.000 --> 0:24:39.280
<v Speaker 3>the hyperscalers but also others that invested at the H

0:24:39.359 --> 0:24:42.160
<v Speaker 3>one hundred generation and they may have only just got

0:24:42.160 --> 0:24:45.560
<v Speaker 3>that capacity online and then suddenly they have the option

0:24:45.680 --> 0:24:49.320
<v Speaker 3>or choice of whether they buy the next cutting edge

0:24:49.359 --> 0:24:53.160
<v Speaker 3>generation of chip upgrade. And I think that Jensen's probably

0:24:53.200 --> 0:24:55.359
<v Speaker 3>talked to you as well, right about swap the ability

0:24:55.600 --> 0:24:58.679
<v Speaker 3>to swap and in and out those those generations of

0:24:58.720 --> 0:25:02.200
<v Speaker 3>GPU quite easily, But it's hard to fathom really.

0:25:03.280 --> 0:25:06.040
<v Speaker 10>Yeah, Well, what's really interesting and I'll give you a

0:25:06.040 --> 0:25:11.520
<v Speaker 10>couple of data points. Last night, Mark Zuckerberg announces publicly

0:25:11.960 --> 0:25:14.760
<v Speaker 10>he talked about that LAMA four, which is the next

0:25:14.800 --> 0:25:17.760
<v Speaker 10>iteration of their open source large language model that they

0:25:17.880 --> 0:25:20.840
<v Speaker 10>just you know, have been evolving, is going to require

0:25:21.080 --> 0:25:26.040
<v Speaker 10>ten x the compute that LAMA three required. And why

0:25:26.080 --> 0:25:28.119
<v Speaker 10>that's important is, you know, if you talk to the

0:25:28.200 --> 0:25:31.719
<v Speaker 10>leaders in industry, you'll hear a comment, and that comment

0:25:31.920 --> 0:25:35.880
<v Speaker 10>is we want tomorrow's GPUs. And the reason you hear

0:25:35.920 --> 0:25:40.800
<v Speaker 10>that comment is because one of the single biggest bottlenecks

0:25:41.000 --> 0:25:49.040
<v Speaker 10>to actually advancing these large language models, whether it's open AI, Anthropic, Google, Gemini, Lama,

0:25:49.880 --> 0:25:55.160
<v Speaker 10>whatever it might be, you need increased compute power. And

0:25:55.320 --> 0:25:59.600
<v Speaker 10>that is exactly what Blackwell brings. And so the important

0:25:59.600 --> 0:26:02.359
<v Speaker 10>part for these companies is making sure that they have

0:26:02.440 --> 0:26:06.520
<v Speaker 10>the ability to actually create fungibility with the GPUs.

0:26:06.440 --> 0:26:08.680
<v Speaker 1>So that when you use.

0:26:08.640 --> 0:26:12.760
<v Speaker 10>H one hundreds and then you're going to move to Blackwell,

0:26:13.000 --> 0:26:15.280
<v Speaker 10>you can actually use those H one hundreds for inference,

0:26:15.400 --> 0:26:17.600
<v Speaker 10>or you can use them for other parts of your

0:26:17.960 --> 0:26:20.679
<v Speaker 10>of your company, you know, whether you know, for Microsoft,

0:26:20.720 --> 0:26:23.879
<v Speaker 10>that could be to support Office three sixty five and

0:26:23.920 --> 0:26:28.800
<v Speaker 10>co pilot or a GitHub co pilot or in metas case,

0:26:28.960 --> 0:26:33.240
<v Speaker 10>to support the recommendation engine or content creation or whatever

0:26:33.280 --> 0:26:37.080
<v Speaker 10>it may be. And so having that fungibility of the GPUs,

0:26:37.119 --> 0:26:39.720
<v Speaker 10>but then also having the ability to lean in hard

0:26:39.800 --> 0:26:42.159
<v Speaker 10>to the latest generation so that you can push the

0:26:42.240 --> 0:26:43.840
<v Speaker 10>envelope with these frontier models.

0:26:44.000 --> 0:26:45.840
<v Speaker 3>So, Denny, this is a good point to go to

0:26:45.960 --> 0:26:48.040
<v Speaker 3>Apple because it's a different story.

0:26:48.119 --> 0:26:48.280
<v Speaker 4>Right.

0:26:48.320 --> 0:26:50.720
<v Speaker 3>They are not a hyperscala. They don't make the same

0:26:51.080 --> 0:26:53.639
<v Speaker 3>direct investment in infrastructure to Capex.

0:26:53.240 --> 0:26:56.399
<v Speaker 4>Has always been low. But the AI story is the same.

0:26:56.760 --> 0:27:00.800
<v Speaker 3>It's a smaller position for you that you're going into

0:27:00.800 --> 0:27:01.359
<v Speaker 3>this evening.

0:27:02.680 --> 0:27:03.800
<v Speaker 1>Well, it's always hard going.

0:27:04.160 --> 0:27:06.560
<v Speaker 10>You just never know, right, you know, we're here on

0:27:06.600 --> 0:27:08.800
<v Speaker 10>the day of earnings. But here's what I can say.

0:27:09.200 --> 0:27:12.679
<v Speaker 10>We were really impressed with Apple Intelligence and what we saw.

0:27:12.840 --> 0:27:14.560
<v Speaker 10>You know, the world was waiting to hear what they

0:27:14.560 --> 0:27:18.000
<v Speaker 10>were going to deliver. It's not ready for prime time yet.

0:27:18.359 --> 0:27:20.760
<v Speaker 10>This is unlikely to be a massive cycle, you know,

0:27:20.840 --> 0:27:24.600
<v Speaker 10>with the with the sixteen, but as we start looking

0:27:24.640 --> 0:27:28.159
<v Speaker 10>into next year and if they get Siri right and

0:27:28.640 --> 0:27:32.160
<v Speaker 10>they're actually here's the beauty of the Apple model. All

0:27:32.280 --> 0:27:35.600
<v Speaker 10>this Capex, this two hundred billion plus dollars that the

0:27:35.640 --> 0:27:40.119
<v Speaker 10>hyperscalers are deploying into CAPEX. Apple gets to leverage that

0:27:40.600 --> 0:27:44.920
<v Speaker 10>because they are the gateway to the AI enabled Internet,

0:27:45.080 --> 0:27:48.120
<v Speaker 10>you know, through the iPhone interface, and I think that's

0:27:48.160 --> 0:27:52.040
<v Speaker 10>really underappreciated as it's related to Apple. It's a very

0:27:52.080 --> 0:27:53.240
<v Speaker 10>capital efficient model.

0:27:53.680 --> 0:27:55.919
<v Speaker 3>And Denny, sorry to jump around, but Amazon, I mean,

0:27:55.960 --> 0:27:58.600
<v Speaker 3>I think with the focus then switches back to AWS

0:27:58.760 --> 0:28:01.399
<v Speaker 3>and whether the CAPEX still and the investment cycle is

0:28:01.400 --> 0:28:02.080
<v Speaker 3>still intact.

0:28:03.880 --> 0:28:06.600
<v Speaker 10>Yes, you know, Amazon's a little different. The reason it's

0:28:06.600 --> 0:28:08.560
<v Speaker 10>a little different is, you know, as I mentioned, if

0:28:08.560 --> 0:28:11.680
<v Speaker 10>you think about Alphabet, you think about Microsoft, you think

0:28:11.680 --> 0:28:17.320
<v Speaker 10>about Meta and that fungibility element of GPUs and capital expenditures.

0:28:17.760 --> 0:28:19.320
<v Speaker 1>Amazon doesn't quite have that.

0:28:19.640 --> 0:28:23.560
<v Speaker 10>You know, they can't really repurpose a bunch of GPUs

0:28:23.600 --> 0:28:27.719
<v Speaker 10>into their core business because it's not a daily engagement

0:28:27.880 --> 0:28:31.560
<v Speaker 10>app like Office three sixty five or Copilot or Meta

0:28:32.320 --> 0:28:36.000
<v Speaker 10>or Search, and it really does hinge on their ability

0:28:36.080 --> 0:28:39.480
<v Speaker 10>to provide the underlying compute for other companies.

0:28:39.800 --> 0:28:42.280
<v Speaker 1>And so they're really in.

0:28:42.200 --> 0:28:44.240
<v Speaker 10>A push and pull of you know, having been the

0:28:44.280 --> 0:28:47.479
<v Speaker 10>dominant provider of cloud computing services for the last fifteen

0:28:47.600 --> 0:28:51.640
<v Speaker 10>years and now pivoting their business to try to compete

0:28:51.680 --> 0:28:56.800
<v Speaker 10>as aggressively with Microsoft and Alphabet in this next generation

0:28:56.840 --> 0:28:58.520
<v Speaker 10>of cloud compute, which is any AI.

0:28:58.520 --> 0:29:03.600
<v Speaker 3>Enabled portfolio manager there at Janis Henderson really appreciate it.

0:29:03.680 --> 0:29:04.080
<v Speaker 4>Thank you.

0:29:04.880 --> 0:29:07.840
<v Speaker 3>Some breaking news crossing the wire. We're getting more details

0:29:07.960 --> 0:29:11.480
<v Speaker 3>on the prisoner swap between the US and Russia where

0:29:11.800 --> 0:29:16.280
<v Speaker 3>Wall Street Journal reporter Evan Gershkovich and former US marine

0:29:16.400 --> 0:29:21.480
<v Speaker 3>Paul Willen are being returned. Vadimir Krasikov will be released

0:29:21.760 --> 0:29:24.800
<v Speaker 3>in the historic seven count prisoner swap.

0:29:24.920 --> 0:29:26.880
<v Speaker 4>Krasikoff was serving a life.

0:29:26.680 --> 0:29:30.400
<v Speaker 3>Sentence in Germany for the twenty nineteen killing of a

0:29:30.440 --> 0:29:34.080
<v Speaker 3>former Chechen rebel in Berlin. Will bring you any additional

0:29:34.160 --> 0:29:37.440
<v Speaker 3>updates as they cross the wire. President Biden plans to

0:29:37.480 --> 0:29:43.560
<v Speaker 3>deliver remarks at noon about the Americans freed from Russia. Okay,

0:29:43.560 --> 0:29:46.560
<v Speaker 3>back to one of the other Bloomberg technology stories. Amazon

0:29:46.800 --> 0:29:50.520
<v Speaker 3>is showing interests in robot software maker Covariant.

0:29:50.520 --> 0:29:51.720
<v Speaker 4>That's according to sources.

0:29:51.720 --> 0:29:55.400
<v Speaker 3>The company, which was founded in twenty seventeen, has raised

0:29:55.400 --> 0:29:58.120
<v Speaker 3>two hundred and forty five million dollars from investors, and

0:29:58.160 --> 0:30:01.320
<v Speaker 3>it was valued at six hundred twenty five million in

0:30:01.400 --> 0:30:04.480
<v Speaker 3>a twenty twenty three funding round, joining me is Bloomberg's

0:30:04.560 --> 0:30:06.720
<v Speaker 3>Katie Ruth and Katie you and I broke this story

0:30:06.720 --> 0:30:10.800
<v Speaker 3>together last night along with Bloomberg's Spencer Sofa. It's it's

0:30:10.960 --> 0:30:13.800
<v Speaker 3>very in line with what Amazon's focused on.

0:30:13.880 --> 0:30:14.880
<v Speaker 4>Give me the details that.

0:30:14.840 --> 0:30:19.880
<v Speaker 11>We know exactly, and so this is a warehouse robots

0:30:19.960 --> 0:30:24.320
<v Speaker 11>software maker using AI. For those who have been paying

0:30:24.320 --> 0:30:28.360
<v Speaker 11>attention for a while, it reminds of Amazon's acquisition of

0:30:28.480 --> 0:30:32.280
<v Speaker 11>Kiva Systems in twenty twelve, where they bought a warehouse

0:30:32.800 --> 0:30:36.960
<v Speaker 11>robot maker. But this is obviously, you know, modern technology

0:30:37.280 --> 0:30:41.040
<v Speaker 11>in this space, and it could sync with other you know,

0:30:41.080 --> 0:30:44.400
<v Speaker 11>warehouse type robots that you know, can put things together

0:30:44.800 --> 0:30:47.719
<v Speaker 11>and package things, which is exactly what Amazon needs.

0:30:48.400 --> 0:30:53.040
<v Speaker 3>We should point out that Amazon and Covariant both declined

0:30:53.600 --> 0:30:56.880
<v Speaker 3>to comment on the story. You know, Amazon's at a

0:30:56.920 --> 0:30:58.800
<v Speaker 3>stage where it has more than like seven hundred and

0:30:58.840 --> 0:31:02.920
<v Speaker 3>fifty thousand robots around the world doing all sorts of things.

0:31:03.200 --> 0:31:06.320
<v Speaker 3>You know, one one source kind of outlines me like Covariant,

0:31:06.560 --> 0:31:09.120
<v Speaker 3>even though it's raised all this money is a little

0:31:09.120 --> 0:31:11.760
<v Speaker 3>bit of more of an R and D like research project,

0:31:11.760 --> 0:31:15.600
<v Speaker 3>and you kind of need Amazon to get going. The

0:31:15.680 --> 0:31:19.800
<v Speaker 3>market is interesting because is money hard to come by, Katie,

0:31:19.880 --> 0:31:21.800
<v Speaker 3>Do you need kind of a savior like an Amazon

0:31:21.840 --> 0:31:24.080
<v Speaker 3>to come in if you're a smaller startup that's still

0:31:24.120 --> 0:31:25.280
<v Speaker 3>kind of building out your tech.

0:31:27.000 --> 0:31:30.560
<v Speaker 11>Sure, I mean there's certainly capital available for the very

0:31:30.840 --> 0:31:34.120
<v Speaker 11>cream of the crop top startups right now, but a

0:31:34.160 --> 0:31:36.520
<v Speaker 11>lot of investors are a little skittish given that we've

0:31:36.560 --> 0:31:38.440
<v Speaker 11>been you know, there were a couple of years of

0:31:38.440 --> 0:31:43.760
<v Speaker 11>a correction. So having a you know, large strategic like Amazon,

0:31:44.640 --> 0:31:48.880
<v Speaker 11>you know, provide resources would certainly help this startup continue

0:31:48.920 --> 0:31:51.280
<v Speaker 11>to grow and have inside Amazon.

0:31:51.200 --> 0:31:54.959
<v Speaker 3>And Katie real quick with short time XAI looking at

0:31:55.040 --> 0:31:57.720
<v Speaker 3>Character musk Wade in what's going on?

0:31:59.040 --> 0:32:02.680
<v Speaker 11>Sure this is enough Ai acquisition rumor? You know we've

0:32:02.720 --> 0:32:06.040
<v Speaker 11>heard there have been some sort of interaction between Character

0:32:06.120 --> 0:32:10.600
<v Speaker 11>Ai and Xai about a potential acquisition. Obviously a deal

0:32:10.720 --> 0:32:13.400
<v Speaker 11>is not yet done and that is what Elon is

0:32:13.440 --> 0:32:15.840
<v Speaker 11>weighing in about. But you know, we have heard that

0:32:15.920 --> 0:32:19.040
<v Speaker 11>there is something going on there, so it remains to

0:32:19.080 --> 0:32:20.720
<v Speaker 11>be seen whether a deal actually happens.

0:32:20.840 --> 0:32:22.840
<v Speaker 3>Yeah, I heard there's something going on there too. Bloombays

0:32:22.880 --> 0:32:26.160
<v Speaker 3>Katie Ruth, thank you very much. Okay, before we head

0:32:26.200 --> 0:32:28.200
<v Speaker 3>to break, we want to turn our attention to the

0:32:28.200 --> 0:32:30.040
<v Speaker 3>Bank of England for a moment. The Bank of England

0:32:30.080 --> 0:32:32.960
<v Speaker 3>cut interest rates for the first time since early twenty

0:32:33.000 --> 0:32:37.600
<v Speaker 3>twenty and signaled further cautious reductions ahead. Moments ago, we

0:32:37.640 --> 0:32:39.400
<v Speaker 3>sat down with Governor Andrew Bailey.

0:32:39.520 --> 0:32:40.000
<v Speaker 4>Have a listen.

0:32:42.880 --> 0:32:45.320
<v Speaker 12>Don't expect we're going back to zero because zero was

0:32:45.360 --> 0:32:48.320
<v Speaker 12>the product of huge global shocks and it started with

0:32:48.360 --> 0:32:52.239
<v Speaker 12>financial crisis and I'm seeing COVID as well. I think

0:32:52.280 --> 0:32:54.720
<v Speaker 12>to get there, something really bad has to happen that

0:32:54.760 --> 0:32:56.880
<v Speaker 12>we're not currently expecting will be lower than where we

0:32:56.920 --> 0:32:58.520
<v Speaker 12>are today. But I think it's sorry to him that

0:32:58.560 --> 0:32:59.240
<v Speaker 12>we're not going back.

0:33:06.560 --> 0:33:09.360
<v Speaker 3>I want to talk about GitHub, a leading AI powered

0:33:09.360 --> 0:33:13.520
<v Speaker 3>developer platform. The company announced expansions in their AI strategy

0:33:13.640 --> 0:33:17.600
<v Speaker 3>with increased access to and new extensions.

0:33:16.840 --> 0:33:18.880
<v Speaker 4>Of their co pilot models.

0:33:19.120 --> 0:33:22.200
<v Speaker 3>GitHub CEO Thomas Stomka joins us now for more. And

0:33:22.560 --> 0:33:24.440
<v Speaker 3>you've been very busy on social media.

0:33:24.840 --> 0:33:27.760
<v Speaker 4>You've been hinting at what you've been working on.

0:33:28.120 --> 0:33:29.920
<v Speaker 3>Now is the opportunity for you to talk about it

0:33:29.960 --> 0:33:31.160
<v Speaker 3>a bit more explicitly.

0:33:31.200 --> 0:33:34.440
<v Speaker 4>What's going on. It's an exciting day, you know.

0:33:34.440 --> 0:33:37.440
<v Speaker 2>I'm so much, so full of energy this morning with

0:33:37.600 --> 0:33:41.200
<v Speaker 2>GitHub models. We're bringing the power of industry leading AI

0:33:41.320 --> 0:33:44.480
<v Speaker 2>models small and large, you know, open and close directly

0:33:44.880 --> 0:33:47.360
<v Speaker 2>to the over one hundred million users on our platform,

0:33:47.400 --> 0:33:49.960
<v Speaker 2>and you'll not develop us are no longer US wedding

0:33:50.040 --> 0:33:53.000
<v Speaker 2>back end and front end code. They have to integrate

0:33:53.080 --> 0:33:56.360
<v Speaker 2>different machine learning models right into their apps, and we

0:33:56.440 --> 0:33:58.600
<v Speaker 2>want to catch them early in the autoper life cycle.

0:33:58.840 --> 0:34:02.000
<v Speaker 2>So they're giving them access to popular models like Lama

0:34:02.080 --> 0:34:05.080
<v Speaker 2>three point one or Mistrial large Poon. Of course the

0:34:05.200 --> 0:34:09.600
<v Speaker 2>opening IGBT models, Microsoft's models for free ride on GitHub.

0:34:09.880 --> 0:34:12.319
<v Speaker 2>So to enable them to explore, to play with these

0:34:12.360 --> 0:34:14.480
<v Speaker 2>models and put them into their apps, and when they're

0:34:14.520 --> 0:34:17.239
<v Speaker 2>ready to go to production, to give them a light

0:34:17.320 --> 0:34:18.399
<v Speaker 2>path into Azua AI.

0:34:19.400 --> 0:34:24.840
<v Speaker 3>You said on on X that hint, it's not co pilot,

0:34:24.920 --> 0:34:29.080
<v Speaker 3>but it's not not AI. Just just explain in layman's

0:34:29.160 --> 0:34:30.600
<v Speaker 3>terms what you were trying to get at with that.

0:34:32.480 --> 0:34:34.880
<v Speaker 2>Yeah, you know, in the past, when I was on

0:34:34.920 --> 0:34:38.400
<v Speaker 2>the show of when I was on media, we talked

0:34:38.400 --> 0:34:41.760
<v Speaker 2>with an AI at GitHub mostly about Copilot, our AI

0:34:41.840 --> 0:34:45.000
<v Speaker 2>plap program that helps develop us write code. It helps them,

0:34:45.200 --> 0:34:47.640
<v Speaker 2>you know, to do the work on a day to

0:34:47.719 --> 0:34:51.319
<v Speaker 2>day basis. With gidub models, we're giving them a component

0:34:51.400 --> 0:34:53.680
<v Speaker 2>to put into the app. If we're giving them access

0:34:53.719 --> 0:34:58.360
<v Speaker 2>to models like Lama Kohea, AI twenty one labs that

0:34:58.440 --> 0:35:00.839
<v Speaker 2>they can play with, that they can send and then

0:35:01.200 --> 0:35:04.239
<v Speaker 2>put that model, you know, into their application code and

0:35:04.320 --> 0:35:06.680
<v Speaker 2>run their own scenarios on top of these models. So

0:35:06.760 --> 0:35:10.000
<v Speaker 2>it's not copiled, but it's AI and it's machine learning

0:35:10.040 --> 0:35:12.160
<v Speaker 2>models readily available for developers.

0:35:12.560 --> 0:35:15.120
<v Speaker 3>The other big news of the week came during microsoft

0:35:15.239 --> 0:35:18.600
<v Speaker 3>S earnings and the discussion around GitHub.

0:35:19.440 --> 0:35:20.320
<v Speaker 4>It's your growth.

0:35:20.360 --> 0:35:23.080
<v Speaker 3>I think the number to go to is the is

0:35:23.120 --> 0:35:26.759
<v Speaker 3>the annual revenue run rate of two billion dollars? You know,

0:35:27.000 --> 0:35:30.080
<v Speaker 3>for you something that seemed like a really important milestone.

0:35:30.280 --> 0:35:35.120
<v Speaker 2>Why it's important, you know, from two perspectives. One six

0:35:35.200 --> 0:35:37.680
<v Speaker 2>years ago, I was part of the team at Microsoft

0:35:37.760 --> 0:35:41.799
<v Speaker 2>that acquired GitHub, and we had high hope for this

0:35:41.880 --> 0:35:44.160
<v Speaker 2>to be a successful acquisition. So I think, you know,

0:35:44.200 --> 0:35:47.880
<v Speaker 2>the two billion revenue run rate shows that we have

0:35:48.840 --> 0:35:49.480
<v Speaker 2>done a good deal.

0:35:49.520 --> 0:35:50.279
<v Speaker 4>At Microsoft.

0:35:50.320 --> 0:35:53.760
<v Speaker 2>We not only bought a company, but we actually invested

0:35:53.840 --> 0:35:57.280
<v Speaker 2>into GitHub. We set on the power of this developer

0:35:57.320 --> 0:36:01.920
<v Speaker 2>community to create, you know, in an ever growing a

0:36:01.920 --> 0:36:05.359
<v Speaker 2>revenue stream. In the earnings before this one, we said

0:36:05.400 --> 0:36:08.879
<v Speaker 2>we are growing forty five percent year over year. This time,

0:36:08.920 --> 0:36:11.720
<v Speaker 2>we announced that the rendred is now over two billion

0:36:11.800 --> 0:36:14.719
<v Speaker 2>US dollars and more so, you know, in the last year,

0:36:14.840 --> 0:36:17.720
<v Speaker 2>forty percent of our growth came from co pilot. Seventy

0:36:17.760 --> 0:36:21.520
<v Speaker 2>seven thousand organizations are now on copilate. It's no longer

0:36:21.800 --> 0:36:24.920
<v Speaker 2>you know, it's no longer about the early adopters.

0:36:25.120 --> 0:36:26.600
<v Speaker 8>Coporlate has casted the chasm.

0:36:26.640 --> 0:36:28.840
<v Speaker 2>The question really everybody needs to ask themselves, am I

0:36:28.920 --> 0:36:31.160
<v Speaker 2>part of the early majority or am I going to

0:36:31.200 --> 0:36:35.480
<v Speaker 2>evade and become you know, the laggards of adopting AAI

0:36:35.600 --> 0:36:37.400
<v Speaker 2>technology in my developer life cycle.

0:36:38.200 --> 0:36:40.759
<v Speaker 3>Thomas Dumcare, CEO Hub, It's great to have you back

0:36:40.800 --> 0:36:43.120
<v Speaker 3>on the show. Greats catch up, Thank you very much.

0:36:50.960 --> 0:36:53.520
<v Speaker 3>Let's get back to matter and matters results. The stock,

0:36:53.560 --> 0:36:55.920
<v Speaker 3>by the way of session highs to SILL up six percent,

0:36:55.960 --> 0:36:59.759
<v Speaker 3>the tech giant beating estimates on its advertising growth. In

0:37:00.000 --> 0:37:03.080
<v Speaker 3>particular Rachel Tippograph, founder and CEO of the e commerce

0:37:03.160 --> 0:37:06.840
<v Speaker 3>marketing platform. Mickmac joins us now and Rachel, you have

0:37:06.880 --> 0:37:11.040
<v Speaker 3>this rich data set tracking where advertisers invest their dollars

0:37:11.320 --> 0:37:14.280
<v Speaker 3>across not just meta but it's competitive landscape as well,

0:37:14.760 --> 0:37:17.600
<v Speaker 3>and I think what's interesting is that the data you

0:37:17.719 --> 0:37:22.719
<v Speaker 3>track was basically justified by their forecast for sales in

0:37:22.760 --> 0:37:23.520
<v Speaker 3>the current period.

0:37:23.960 --> 0:37:25.080
<v Speaker 4>Just your response to that.

0:37:26.200 --> 0:37:30.719
<v Speaker 13>Yeah, thanks Meta for verifying our data. So yesterday Zuckerberg

0:37:30.760 --> 0:37:34.680
<v Speaker 13>reported eleven percent year of a year revenue growth. Mickmac

0:37:34.760 --> 0:37:37.200
<v Speaker 13>works with over seventeen hundred of the biggest brands in

0:37:37.200 --> 0:37:40.080
<v Speaker 13>the world powering their commerce media. What did we see

0:37:40.120 --> 0:37:42.480
<v Speaker 13>in our data? We saw ten percent year of a

0:37:42.520 --> 0:37:47.080
<v Speaker 13>year revenue growth, So it's absolutely spot on. Meta remains

0:37:47.160 --> 0:37:51.839
<v Speaker 13>the most traffic brand advertising channel at Nickmac. On any

0:37:51.840 --> 0:37:55.240
<v Speaker 13>given day, it represents about forty percent of our total traffic.

0:37:55.760 --> 0:37:58.399
<v Speaker 3>So what's interesting is you have the data and then

0:37:58.520 --> 0:38:00.800
<v Speaker 3>what you need to do is find the reason behind

0:38:00.840 --> 0:38:04.000
<v Speaker 3>the data. Right, And we went into the earning sprint

0:38:04.320 --> 0:38:08.040
<v Speaker 3>solely focused on artificial intelligence. It seems like the early

0:38:08.160 --> 0:38:11.800
<v Speaker 3>work and investment metas made in AI is just making

0:38:11.840 --> 0:38:13.839
<v Speaker 3>their ads more competitive.

0:38:14.200 --> 0:38:14.840
<v Speaker 4>Is that fair?

0:38:16.520 --> 0:38:18.680
<v Speaker 13>AI is part of it, But I actually think something

0:38:18.719 --> 0:38:19.480
<v Speaker 13>comes before it.

0:38:20.120 --> 0:38:22.239
<v Speaker 8>For the last two and a half years.

0:38:22.239 --> 0:38:25.920
<v Speaker 13>Meta has stopped focusing on shiny objects like the metaverse,

0:38:26.200 --> 0:38:28.480
<v Speaker 13>and it got back to business and focused on its

0:38:28.600 --> 0:38:32.800
<v Speaker 13>core revenue stream, which is advertising. Meta had to respond

0:38:32.880 --> 0:38:35.359
<v Speaker 13>to Apple's privacy changes, and it.

0:38:35.320 --> 0:38:36.520
<v Speaker 8>Responded in a big way.

0:38:37.080 --> 0:38:40.839
<v Speaker 13>Meta did a huge campaign to every big global advertiser

0:38:41.239 --> 0:38:45.880
<v Speaker 13>and essentially encouraged them to integrate with their Event Attribution API,

0:38:46.320 --> 0:38:49.600
<v Speaker 13>which bullet proved the effectiveness of the ads. That was

0:38:49.680 --> 0:38:50.640
<v Speaker 13>number one.

0:38:50.840 --> 0:38:51.359
<v Speaker 1>Number two.

0:38:51.600 --> 0:38:55.480
<v Speaker 13>Metas also made a concerted effort to partner with retailers

0:38:55.840 --> 0:38:59.040
<v Speaker 13>and essentially enable off site retail media.

0:38:58.760 --> 0:39:01.440
<v Speaker 8>Within the META platform that also.

0:39:01.239 --> 0:39:03.080
<v Speaker 13>Improves the effectiveness of their ads.

0:39:03.520 --> 0:39:06.280
<v Speaker 8>I would argue that AI is number three.

0:39:06.719 --> 0:39:10.359
<v Speaker 13>What AI is doing for Meta and for really all

0:39:10.480 --> 0:39:14.279
<v Speaker 13>advertising platforms is lowering the barrier to entertry. One of

0:39:14.320 --> 0:39:18.400
<v Speaker 13>the major barriers to entry in advertising is creative and

0:39:18.440 --> 0:39:21.480
<v Speaker 13>so if MENA can remove that barrier, it actually opens

0:39:21.480 --> 0:39:24.839
<v Speaker 13>themselves up to any business on the planet. So I

0:39:24.920 --> 0:39:28.480
<v Speaker 13>suspect with the investments in AI, you will see their

0:39:28.640 --> 0:39:30.959
<v Speaker 13>small media business advertising grow.

0:39:32.000 --> 0:39:33.880
<v Speaker 4>So I want to linger on that point at a

0:39:33.880 --> 0:39:34.359
<v Speaker 4>moment longer.

0:39:34.400 --> 0:39:37.680
<v Speaker 3>We just showed the pie chart breaking down where advertisers

0:39:37.719 --> 0:39:38.560
<v Speaker 3>a place of their money.

0:39:38.960 --> 0:39:41.000
<v Speaker 4>The story is so the one that you're.

0:39:40.840 --> 0:39:44.359
<v Speaker 3>Telling at least is so similar to last week with Alphabet. Again,

0:39:44.400 --> 0:39:48.760
<v Speaker 3>we went into it really focused on AI, but the biggest.

0:39:48.320 --> 0:39:49.400
<v Speaker 4>Contributor to growth.

0:39:49.440 --> 0:39:53.320
<v Speaker 3>To growth was just the search business, the legacy business.

0:39:54.440 --> 0:39:55.360
<v Speaker 8>One hundred percent.

0:39:55.760 --> 0:39:59.160
<v Speaker 13>It's all about making every dollar stretch for the biggest

0:39:59.160 --> 0:40:01.360
<v Speaker 13>advertisers in the world world. You know, on top of

0:40:01.400 --> 0:40:03.560
<v Speaker 13>the big tech earnings, you've also had the big CpG

0:40:03.719 --> 0:40:05.240
<v Speaker 13>earnings in the past few days.

0:40:05.440 --> 0:40:08.560
<v Speaker 8>And what they're struggling with is top wine growth. Where

0:40:08.640 --> 0:40:09.520
<v Speaker 8>is top wine.

0:40:09.280 --> 0:40:12.560
<v Speaker 13>Growth going to come from for these advertisers investing in

0:40:12.640 --> 0:40:16.600
<v Speaker 13>channels like Meta, Google and TikTok. Going back to that

0:40:16.640 --> 0:40:19.680
<v Speaker 13>pie chart, what you also see is, yes, Meta is

0:40:19.719 --> 0:40:22.799
<v Speaker 13>the most traffic source within the micmac platform, But what's

0:40:22.880 --> 0:40:27.680
<v Speaker 13>number two TikTok. TikTok now represents twenty percent of our

0:40:27.680 --> 0:40:31.800
<v Speaker 13>total traffic. If we were speaking four years ago, TikTok

0:40:31.800 --> 0:40:34.600
<v Speaker 13>wouldn't even be in that pie chart. So if I

0:40:34.760 --> 0:40:37.279
<v Speaker 13>was Meta, I think the big headwind that they now

0:40:37.360 --> 0:40:40.200
<v Speaker 13>need to worry about is TikTok, and they alluded to

0:40:40.239 --> 0:40:41.359
<v Speaker 13>that in their earnings as well.

0:40:41.360 --> 0:40:42.880
<v Speaker 3>We did allude to it, okay, So let's look at

0:40:42.920 --> 0:40:47.640
<v Speaker 3>it from the opposite perspective. TikTok faces a divest or

0:40:47.760 --> 0:40:51.400
<v Speaker 3>band scenario in the United States. If you're an advertiser,

0:40:52.239 --> 0:40:56.040
<v Speaker 3>why would you keep putting dollars into that platform if

0:40:56.080 --> 0:40:58.480
<v Speaker 3>you know that that's a potential risk down the road.

0:41:00.200 --> 0:41:01.680
<v Speaker 8>Of the effectiveness of TikTok.

0:41:02.440 --> 0:41:05.879
<v Speaker 13>The reality is with advertising, it's very easy to move

0:41:05.960 --> 0:41:08.520
<v Speaker 13>dollars from channel to channel. We've been on the show,

0:41:08.560 --> 0:41:10.120
<v Speaker 13>We've talked about X in the past.

0:41:10.360 --> 0:41:12.640
<v Speaker 8>We saw one hundred percent the client and X traffic.

0:41:13.160 --> 0:41:16.560
<v Speaker 13>Did that matter to advertisers No, they just realitated the

0:41:16.560 --> 0:41:21.279
<v Speaker 13>dollars elsewhere. So until something actually happens with TikTok, you

0:41:21.320 --> 0:41:25.280
<v Speaker 13>will continue to see brands invest in that platform because

0:41:25.320 --> 0:41:28.839
<v Speaker 13>of the effectiveness of the apps. In one year, we've

0:41:28.880 --> 0:41:31.440
<v Speaker 13>seen one hundred and ninety percent year.

0:41:31.280 --> 0:41:33.680
<v Speaker 8>Over year increase in TikTok traffic.

0:41:34.360 --> 0:41:37.040
<v Speaker 13>We only saw ten percent in Meta.

0:41:37.080 --> 0:41:40.040
<v Speaker 8>Again I was Meta, I would be very concerned about

0:41:40.080 --> 0:41:40.959
<v Speaker 8>TikTok right now.

0:41:41.960 --> 0:41:45.440
<v Speaker 3>Ratil Tipograph, founder and CEO of Mick Mac excellent breakdown

0:41:45.440 --> 0:41:48.359
<v Speaker 3>of your data and linking it to Meta's own data.

0:41:48.400 --> 0:41:49.200
<v Speaker 4>Thank you very much.

0:41:49.440 --> 0:41:52.759
<v Speaker 3>That does it for this edition of Bloomberg Technology. There

0:41:52.840 --> 0:41:55.759
<v Speaker 3>is one big earnings evening left to go, but so

0:41:55.840 --> 0:41:59.399
<v Speaker 3>much to recap on the podcast. You know exactly where

0:41:59.440 --> 0:42:03.960
<v Speaker 3>to find it. Apple, Spotify also on iHeart this is

0:42:03.960 --> 0:42:05.480
<v Speaker 3>what's to come right, and this is the picture of

0:42:05.480 --> 0:42:09.600
<v Speaker 3>the markets right now. We await Apple which is down

0:42:09.640 --> 0:42:12.399
<v Speaker 3>nine tens of percent. We aweight Amazon which is down

0:42:12.480 --> 0:42:14.840
<v Speaker 3>nine tens of one percent. AI is going to be

0:42:14.880 --> 0:42:16.880
<v Speaker 3>the story, but as our guest outline in the show,

0:42:17.120 --> 0:42:20.400
<v Speaker 3>in very different ways, Meta off session highs but continues

0:42:20.440 --> 0:42:23.120
<v Speaker 3>to trade contract for its biggest jump since February of

0:42:23.160 --> 0:42:25.200
<v Speaker 3>this year with at the index level then as that

0:42:25.239 --> 0:42:28.080
<v Speaker 3>one hundred down significantly now down one point five percent,

0:42:28.080 --> 0:42:29.279
<v Speaker 3>and video a part of it.

0:42:29.560 --> 0:42:34.680
<v Speaker 4>This is Bloomberg Technology