WEBVTT - Micron, Qualcomm Show Strong AI Demand

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

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<v Speaker 1>from the heart of Silicon Valley with ed Larbow in

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<v Speaker 1>San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>Microns sows after its AI fueled forecast shatters all street projections,

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<v Speaker 3>plus Qualcom jumps after posting a strong annual sales forecast.

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<v Speaker 3>We are joined by Qualcom CEO Cristio armon live and

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<v Speaker 3>Apple raises prices on some hardware and extreme measure in

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<v Speaker 3>direct response to the memory and storage crunch. And it

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<v Speaker 3>is memory that is still at the heart of what's

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<v Speaker 3>happening on Bloomberg Tech.

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<v Speaker 2>A super bullish sales outlook.

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<v Speaker 3>From Micron, which is currently on track for its biggest

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<v Speaker 3>jump in a month, but at the open on track

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<v Speaker 3>for its biggest jumpsince twenty eleven. We will get to

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<v Speaker 3>the details. There are two other big stories, one directly linked.

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<v Speaker 3>Apple is raising prices on some hardware citing the memory

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<v Speaker 3>and storage crunch and storage prices a Qualcom, fresh off

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<v Speaker 3>its invested day, has a lot of news and extended

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<v Speaker 3>conversation with the CEO. It is still memory and it

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<v Speaker 3>is Micron, and here's what you need to know. Micron

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<v Speaker 3>didn't just beat expectations, reset them higher, forecasting as much

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<v Speaker 3>as fifty one billion dollars in fourth quarter revenue, well

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<v Speaker 3>abuff all Street estimates. More importantly, Management says AI driven

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<v Speaker 3>memory shortages could last beyond twenty twenty seven, keeping memory

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<v Speaker 3>prices higher for the foreseeable future, even as Micron boosts

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<v Speaker 3>it's manufacturing capacity. And that helps explain our other top story,

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<v Speaker 3>Apple raising prices on some of their hardware offerings as

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<v Speaker 3>the cost of key components memory stays high. Bloombers Mark

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<v Speaker 3>German has the story, and you write that this is

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<v Speaker 3>an extreme set of measures that Apple is taking. Where

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<v Speaker 3>are the price hikes? What is Apple saying about the

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<v Speaker 3>reasons why? And this is all about memory at the

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<v Speaker 3>end of the day.

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<v Speaker 4>Yeah, these price hikes are largely unprecedented in Apple's modern history.

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<v Speaker 4>There hasn't been a time where they've hyped the prices

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<v Speaker 4>across several different products, across much of its product lineup.

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<v Speaker 4>This is the iPad, this is the Mac this is

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<v Speaker 4>the Home pod, this is the Apple TV, this is

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<v Speaker 4>the Vision Pro. It's essentially everything outside of some accessories

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<v Speaker 4>and of course the iPhone, the most important product. The

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<v Speaker 4>AirPods and the Apple Watch. So this is a very

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<v Speaker 4>big deal. I think that the price increases are pretty significant,

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<v Speaker 4>but they're not necessarily going to be a big deterrent

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<v Speaker 4>to customers, particularly on the Mac side. The iPad makes

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<v Speaker 4>me a little uneasy given all the competition in the

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<v Speaker 4>tablet market and upgrade cycles, and then the Apple TV

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<v Speaker 4>and home pod prices are pretty significant, and given that

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<v Speaker 4>there's so many cheaper alternatives from Amazon, Google and elsewhere,

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<v Speaker 4>that could be a little dangerous for Apple in that market.

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<v Speaker 3>Mark what struck me reading your report is how detailed

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<v Speaker 3>a pool was in its explanation. Maybe you think that

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<v Speaker 3>they weren't as detailed as perhaps they often are, But

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<v Speaker 3>they're trying to tie this to what's happening in AI

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<v Speaker 3>data centers, and they're trying to explain that for the

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<v Speaker 3>longest time possible they held off on doing this.

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<v Speaker 2>They have no choice. Now.

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<v Speaker 4>Yeah, let's remember other companies in the consumer electronics space.

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<v Speaker 4>Apple competitors hiked prices significantly in the prior months. Apple,

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<v Speaker 4>you know it's a good thing. This time is fairly

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<v Speaker 4>late to these price increases. About Apple's Apple, They're the

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<v Speaker 4>most popular consumer electronics company. Everyone's buying these products, and

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<v Speaker 4>so this is the biggest of all big deals when

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<v Speaker 4>it comes to price increases, that being Apple. The most

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<v Speaker 4>interesting thing to me in Apple's statement wasn't that they're

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<v Speaker 4>blaming AI data centers and memory.

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<v Speaker 2>We know that.

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<v Speaker 4>It's that they seriously hinted that there will be more

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<v Speaker 4>price increases to other products. They said that these are

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<v Speaker 4>the price increases that are happening today, leaving the door open.

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<v Speaker 4>I would say to iPhone and Apple watch price increases

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<v Speaker 4>in September when announced the new models, Boobo's.

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<v Speaker 3>Mark German, who leads our coverage of consumer technology, thank

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<v Speaker 3>you very much. Yesterday, Microns stunned with quarterly estimates that

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<v Speaker 3>absolutely shattered will streets expectations, signaling that the AI infrastructure

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<v Speaker 3>boom remains strong again. Micron shares are on track for

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<v Speaker 3>their best day in one month, but at the open,

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<v Speaker 3>on track for their best day since twenty eleven. Supply

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<v Speaker 3>is tight, it is going to stay tight. There is

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<v Speaker 3>no line of sight to supply improving, and memory prices

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<v Speaker 3>will remain high. That's the story. Chief market strategist Carosh

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<v Speaker 3>Life of BEMO Wealth Management is with us for more

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<v Speaker 3>and you have a very interesting, almost historical look at

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<v Speaker 3>what will happen next, and that is that historically, for decades,

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<v Speaker 3>tech had been a pretty reliable deflationary force. Mark just outlined,

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<v Speaker 3>actually more price hikes could come on that higher end

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<v Speaker 3>Apple hardware. What happens as a result.

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<v Speaker 5>Well, I think Marcus are really trying to struggle with

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<v Speaker 5>the fact that it looks like we've got an economic

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<v Speaker 5>regime change, if you will, underway, and it starts as

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<v Speaker 5>Mark talked about, it starts with the data centers and

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<v Speaker 5>the build there. But it also you have to think

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<v Speaker 5>through what life as a semiconductor company has been like

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<v Speaker 5>because they go decades with very big pea contrough and

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<v Speaker 5>so they want some reassurance from these companies before they

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<v Speaker 5>start expanding capacity. They need reassurance that that demand is

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<v Speaker 5>going to be there. They get some of the reassurance

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<v Speaker 5>they're signing longer term contracts. There's really slowing expanding capacity,

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<v Speaker 5>but in the process of really definitely targeting their production

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<v Speaker 5>much the same way that or that many of the

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<v Speaker 5>semiconductor companies did during the pandemic, and they diverted it

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<v Speaker 5>away from auto companies and put it towards the PC

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<v Speaker 5>manufacturers and the AI creators. If you will, So they're

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<v Speaker 5>being very strategic in how they're doing, and the industry

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<v Speaker 5>overall is trying to watch its margins. I think what

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<v Speaker 5>investors have to deal with is, you know, there was

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<v Speaker 5>this presumption early on that higher prices and more over

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<v Speaker 5>here just came because someone was shaking a money tree

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<v Speaker 5>over there. But it's a pretty zero sum game in

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<v Speaker 5>terms of if you're a company, you've got you're paying

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<v Speaker 5>in one category and giving up in another. And so

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<v Speaker 5>Apple sending that message that they've held on for a

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<v Speaker 5>very long time, not past pricing increases along. That's actually

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<v Speaker 5>pretty indicative across the economy where a lot of companies

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<v Speaker 5>have done that. They've held it as long as they can,

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<v Speaker 5>and so it leaves us the consumer and us as

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<v Speaker 5>investors to be very discerning about where we're going to

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<v Speaker 5>see it pull through, where we're willing to pay up.

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<v Speaker 5>I think Apple is betting that people are willing to

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<v Speaker 5>pay up for those those specific products.

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<v Speaker 3>What Micron said last night was remarkable. The number is

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<v Speaker 3>fifty one billion dollars up to in the fiscal fourth

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<v Speaker 3>quarter when the streets saw forty three.

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<v Speaker 2>So there's just a.

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<v Speaker 3>Simple element of outperformance relative to expectations, but the admission

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<v Speaker 3>that they have no line of sights to the supply

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<v Speaker 3>situation improving and therefore prices remaining high. How does the

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<v Speaker 3>market model for that with everyone else in the equation,

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<v Speaker 3>the capex deployers, the hyperscalers.

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<v Speaker 5>I think it's it's difficult to model because basically what

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<v Speaker 5>we're doing is as an economy, we're trying to rewire

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<v Speaker 5>the whole economy very rapidly and make up for decades

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<v Speaker 5>of under investment and infrastructure because we haven't invested in

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<v Speaker 5>the energy grid. We haven't needed to because the demand

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<v Speaker 5>wasn't up, and now we're asking demand to go up

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<v Speaker 5>many multiples of where it has been historically, and so

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<v Speaker 5>markets have to adjust to the fact that you'll probably

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<v Speaker 5>have higher endemic core inflation, if you will. But you're

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<v Speaker 5>seeing from the fixed income markets that they're actually pretty

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<v Speaker 5>tolerant of that because of the fact that it's coming

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<v Speaker 5>from steady demand. It's not coming from workforce demanding higher wages,

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<v Speaker 5>but it's coming from growth we're putting in the economy,

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<v Speaker 5>and economics one on one would tell you that in

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<v Speaker 5>the long run, and we invest in that in the

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<v Speaker 5>capital infrastructure, it does tee us up for an era

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<v Speaker 5>of more productive growth. But there's this interim period that

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<v Speaker 5>it's going to take us a while. We're probably talking

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<v Speaker 5>later in the decade or early next decade when we

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<v Speaker 5>finally see the big deflationary impacts of this come through.

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<v Speaker 5>Because in the meantime, we all want access to it,

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<v Speaker 5>we need data centers to get access to it, and

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<v Speaker 5>there's that bottleneck in the middle that's going to need sorting.

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<v Speaker 3>Carol, just really quick before we let you go, Micron.

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<v Speaker 3>The funny thing about it in other memory names is

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<v Speaker 3>that they're trading it like a pretty reasonable multiple.

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<v Speaker 5>Well, they're super reasonable, and like I've heard this morning,

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<v Speaker 5>like you've seen even within VIDIA two. Every time they report,

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<v Speaker 5>people look at the stock price, you know, simplistically on

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<v Speaker 5>the front. They look at the stock price and forget

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<v Speaker 5>to put the stock price relative to the earnings. And

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<v Speaker 5>the valuations have been coming down on these names actually

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<v Speaker 5>for quite some time because the earnings are so unbelievably strong.

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<v Speaker 3>It's a stock that literally is priced oney one hundred

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<v Speaker 3>and ninety dollars a share. But yeah, I looked at

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<v Speaker 3>twelve month fort EPs. Carrisflyfe for BIMO Wealth Management's great

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<v Speaker 3>to have you back on the show, Thank you very much.

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<v Speaker 3>Coming up, we're going to stick with Semiconductors. A conversation

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<v Speaker 3>with Qualcom CEO Christiano Amon on data centers, deeper push

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<v Speaker 3>into data centers, M and A. Qualcom's been busy and

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<v Speaker 3>they gave some pretty interesting numbers for the future. That

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<v Speaker 3>conversation's next. This is Bloomberg Tech. Okay shares of quodcorm

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<v Speaker 3>We're up around four percent. They had opened up more

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<v Speaker 3>than eleven percent. The company unveiled ambitious long term growth

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<v Speaker 3>targets at its investor day in New York. Quilecom is

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<v Speaker 3>projecting more than fifteen billion dollars in annual AI data

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<v Speaker 3>center revenue by fiscal twenty twenty nine, and forty billion

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<v Speaker 3>dollars in annual sales from businesses outside of smartphones, double

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<v Speaker 3>the target that it is set two years ago. Joining

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<v Speaker 3>us now is caulled Com CEO christianom On and Bloomberg's

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<v Speaker 3>the clothes anchor remained Boss Stick and Christian. It's great

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<v Speaker 3>to have you back on Bloomberg Tech. And here with

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<v Speaker 3>remain and I if we could, can we just start

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<v Speaker 3>on actually the near term because the five billion dollar

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<v Speaker 3>data center number for fiscal twenty seven is really interesting

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<v Speaker 3>to a lot of people. I think they really want

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<v Speaker 3>to understand the composition of it right. Data center can

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<v Speaker 3>mean a lot of things. Where is Quark I'm going

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<v Speaker 3>to move most quickly.

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<v Speaker 6>Yeah, very good. Happy to talk to both of you guys.

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<v Speaker 6>Look this exciting time, especially because we kind of upgraded

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<v Speaker 6>our non handset revenue as we've been diversifying the company

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<v Speaker 6>from twenty two to forty and enter the data center market.

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<v Speaker 6>And five billion in fiscal twenty seven. It's a high

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<v Speaker 6>confidence number that we have based on customer engagements we

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<v Speaker 6>have right now. Most of their revenue is from a

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<v Speaker 6>custom ASA engagement that expanded since the acquisition of Alpha

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<v Speaker 6>Wave and started to see in their revenue some of

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<v Speaker 6>this innovative technology we came up for celebrators. It doesn't

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<v Speaker 6>require HBM memory is our high bandwidth compute and as

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<v Speaker 6>we keep executing on those customers, we're excited to see

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<v Speaker 6>the revenue going to about fifteen billion in fiscal twenty nine.

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<v Speaker 7>I am curious Christiana when it comes to those longer

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<v Speaker 7>term targets and the bridge between the short term. So

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<v Speaker 7>what you have put out there for twenty twenty seven.

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<v Speaker 7>Is there any sense I know you haven't named the

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<v Speaker 7>customers that get you over that bridge here, but is

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<v Speaker 7>that going to fill the whole of that five billion

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<v Speaker 7>based on the one billion that we already know is

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<v Speaker 7>out there?

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<v Speaker 6>Look the five billion, as I said it, I'll give

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<v Speaker 6>you the composition. I think what I can say right now,

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<v Speaker 6>I think, as it expects, a lot of those contracts

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<v Speaker 6>are governed by non disclosure. We have one large hyperscalar

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<v Speaker 6>customer in the United States, one large hyperscalar customer in China,

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<v Speaker 6>and then we have some other engagements that we had

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<v Speaker 6>on a data center that is all into the five

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<v Speaker 6>billion dollars. So the five billion dollar is it's a

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<v Speaker 6>very high confident forecast to which we have the customers,

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<v Speaker 6>the capacity, the memory allocation and everything. As we think

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<v Speaker 6>about the engagement we have today, and also we talk

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<v Speaker 6>about a contract that we have with Meta also for

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<v Speaker 6>two generations of the CPU, especially as we position ourselves

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<v Speaker 6>for the GENTECHCPU opportunities, that those engagements are into the

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<v Speaker 6>fifteen billion dollar number for Qualcom as an eventrate, those

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<v Speaker 6>are great numbers, but really when you look at the scale,

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<v Speaker 6>what's happening in the data center. You imagine, as we

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<v Speaker 6>execute and we show our differentiation, they could be upside.

0:12:42.679 --> 0:12:45.480
<v Speaker 6>But we're just you know, being focused on the engagements

0:12:45.520 --> 0:12:46.040
<v Speaker 6>we have today.

0:12:46.080 --> 0:12:47.960
<v Speaker 7>I do have to ask. So an investor seem pretty

0:12:47.960 --> 0:12:50.400
<v Speaker 7>pleased is what they heard yesterday about your articulating this

0:12:50.480 --> 0:12:53.600
<v Speaker 7>longer term data center strategy. But I'm curious. I mean,

0:12:53.880 --> 0:12:57.120
<v Speaker 7>you famously exited the data center business back in twenty seventeen,

0:12:57.160 --> 0:12:59.040
<v Speaker 7>twenty eighteen, and I know there were a lot of

0:12:59.080 --> 0:13:02.079
<v Speaker 7>direct a lot of reasons for that that went beyond

0:13:02.080 --> 0:13:05.320
<v Speaker 7>your operational control. But there was a lot of competition then.

0:13:05.679 --> 0:13:08.439
<v Speaker 7>There's probably even more competition today. Why do you think

0:13:08.480 --> 0:13:11.000
<v Speaker 7>you can get it right now compared to what it

0:13:11.120 --> 0:13:12.319
<v Speaker 7>was eight years ago.

0:13:12.480 --> 0:13:18.200
<v Speaker 6>Yeah, look the circumstances. I think when we started on

0:13:18.320 --> 0:13:21.440
<v Speaker 6>the CPU, actually, I know people talk about data center

0:13:21.480 --> 0:13:24.080
<v Speaker 6>as a general term, but we actually we start a

0:13:24.080 --> 0:13:27.760
<v Speaker 6>long time with an ARM compatible eyes at CPU. Very early,

0:13:27.880 --> 0:13:30.480
<v Speaker 6>there was a big software barrier. This is before AI,

0:13:31.320 --> 0:13:34.280
<v Speaker 6>and you know at the time I did not you know,

0:13:34.360 --> 0:13:36.760
<v Speaker 6>the market wasn't ready for it only until later. So

0:13:36.800 --> 0:13:39.080
<v Speaker 6>it was kind of the probably the right decision for

0:13:39.160 --> 0:13:41.480
<v Speaker 6>qualk at a time. This is a different conversation. It's

0:13:41.480 --> 0:13:43.559
<v Speaker 6>a different data center right now, this is about AI.

0:13:44.520 --> 0:13:47.480
<v Speaker 6>But it's a valid question, right so I will give

0:13:47.520 --> 0:13:50.320
<v Speaker 6>you the same answer that I gave when we entered

0:13:50.320 --> 0:13:53.600
<v Speaker 6>the automotive business, when we entered the industrial business, and

0:13:53.640 --> 0:13:56.840
<v Speaker 6>everything that we have been doing to diversify the company.

0:13:57.480 --> 0:14:01.440
<v Speaker 6>Those are fast moving markets now changing with technology. So

0:14:01.520 --> 0:14:04.680
<v Speaker 6>what we really focus is not what the data center

0:14:04.800 --> 0:14:06.800
<v Speaker 6>is doing today, but what the data center is going

0:14:06.800 --> 0:14:09.040
<v Speaker 6>to be doing tomorrow. The data center is now moving

0:14:09.120 --> 0:14:12.920
<v Speaker 6>to agentic. That's why you see CPU companies on the rise,

0:14:13.360 --> 0:14:16.480
<v Speaker 6>you see demand on the rise. The data center is

0:14:16.520 --> 0:14:20.440
<v Speaker 6>being disaggregated. Is not one single GPU that does everything.

0:14:20.480 --> 0:14:23.320
<v Speaker 6>You have different harder and we're coming out with a

0:14:23.400 --> 0:14:27.520
<v Speaker 6>comprehensive portfolio. We have. We have a CPU, we have

0:14:27.800 --> 0:14:32.520
<v Speaker 6>a new memory solution that is not a memory from

0:14:32.560 --> 0:14:35.760
<v Speaker 6>the memory provider, has actually been designed by Qualcom that

0:14:35.800 --> 0:14:39.520
<v Speaker 6>doesn't require HBM. We have a different accelerator for the

0:14:39.560 --> 0:14:43.000
<v Speaker 6>desegregated computes, and we have our semiconductor scale which is

0:14:43.040 --> 0:14:47.840
<v Speaker 6>good for customisings. So that's what we're doing. And you know,

0:14:47.920 --> 0:14:52.840
<v Speaker 6>if technology matters and you have fast innovations cycles, there's

0:14:52.920 --> 0:14:53.280
<v Speaker 6>room for.

0:14:53.280 --> 0:14:58.120
<v Speaker 3>Qualcom Bloomberg Tech Live on Bloomberg Television and Bloomberg Radio

0:14:58.160 --> 0:15:00.880
<v Speaker 3>all around the world, and we're speaking to Qualcom's Cristiano

0:15:00.920 --> 0:15:04.400
<v Speaker 3>Amon and a big part of Qualcomm's story is custom

0:15:04.480 --> 0:15:08.040
<v Speaker 3>silicon now A six. You mentioned it a moment ago, Cristiano.

0:15:08.040 --> 0:15:11.960
<v Speaker 3>Bloomberg reported on May twenty sixth that byte Dance was

0:15:12.000 --> 0:15:15.840
<v Speaker 3>one of those HYPERSCALA companies, and at the time Qualcom

0:15:15.840 --> 0:15:18.880
<v Speaker 3>didn't comment how is that going to work? You know,

0:15:18.920 --> 0:15:21.880
<v Speaker 3>there is a distinction between an A six program and

0:15:22.040 --> 0:15:25.640
<v Speaker 3>export of accelerator, which is your own name on it,

0:15:26.120 --> 0:15:29.760
<v Speaker 3>within the current confines of the US export controls that

0:15:29.800 --> 0:15:30.360
<v Speaker 3>are in place.

0:15:31.320 --> 0:15:34.280
<v Speaker 6>Well, was still not commenting on it, but I'll tell

0:15:34.320 --> 0:15:39.320
<v Speaker 6>you that like everybody else that has a significant portion

0:15:39.600 --> 0:15:43.240
<v Speaker 6>of their data center revenues, also with customers in China,

0:15:43.360 --> 0:15:47.600
<v Speaker 6>there is a there's a very clear set of regulations

0:15:47.600 --> 0:15:50.760
<v Speaker 6>and specifications that you have to follow and you should

0:15:50.800 --> 0:15:54.120
<v Speaker 6>expect to Qualcom it's complying with those and I think

0:15:54.120 --> 0:15:58.440
<v Speaker 6>there's different types of products that are distant for China

0:15:58.520 --> 0:16:01.200
<v Speaker 6>and those are the ones that we are shipping to

0:16:01.280 --> 0:16:02.320
<v Speaker 6>our channel customers.

0:16:03.360 --> 0:16:03.720
<v Speaker 2>Thank you.

0:16:04.520 --> 0:16:08.480
<v Speaker 3>The data center business is multifaceted, so ASEX your own

0:16:08.520 --> 0:16:12.200
<v Speaker 3>accelerators and now CPU. But the market's in a place

0:16:12.240 --> 0:16:16.359
<v Speaker 3>where in video or AMD on an annual break basis

0:16:16.560 --> 0:16:18.360
<v Speaker 3>bring a new generation of technology.

0:16:18.440 --> 0:16:18.640
<v Speaker 8>Right.

0:16:19.040 --> 0:16:21.640
<v Speaker 3>And so the question that a lot of people pose

0:16:21.720 --> 0:16:24.240
<v Speaker 3>for you, Christiano is by the time the accelerators come

0:16:24.280 --> 0:16:27.480
<v Speaker 3>to market and the CPUs in twenty twenty eight and

0:16:27.560 --> 0:16:31.280
<v Speaker 3>customers deploy them, will they not be obsolete? Is it

0:16:31.360 --> 0:16:33.440
<v Speaker 3>not too late to kind of get into those markets

0:16:33.480 --> 0:16:35.960
<v Speaker 3>when you look at the peers and how they deploy.

0:16:36.400 --> 0:16:39.400
<v Speaker 6>Absolutely not. Look, I get this question all the time,

0:16:39.440 --> 0:16:41.560
<v Speaker 6>and I think if that was true, Qualcom will not

0:16:41.640 --> 0:16:45.560
<v Speaker 6>diversify from phones and enter the automotive industry, into the industrial,

0:16:45.640 --> 0:16:50.320
<v Speaker 6>into the robotics, into the broadband. And I actually believe

0:16:50.520 --> 0:16:54.200
<v Speaker 6>it's exactly what I've said before. I'm going to give you.

0:16:54.760 --> 0:16:56.560
<v Speaker 6>I'm going to give you a simple answer. There are

0:16:56.560 --> 0:17:00.640
<v Speaker 6>four vectors of differentiation accelerator. First of all, we know

0:17:00.920 --> 0:17:03.240
<v Speaker 6>that power matter. If you look at the demand that

0:17:03.280 --> 0:17:05.960
<v Speaker 6>exists in the data center right now, is a demand

0:17:05.960 --> 0:17:08.600
<v Speaker 6>that going like this and the energy available is like this,

0:17:09.040 --> 0:17:11.919
<v Speaker 6>So that creates It's perfect for Qualcom because what we

0:17:11.960 --> 0:17:16.959
<v Speaker 6>do is very power efficient. We design our technology always

0:17:16.960 --> 0:17:18.880
<v Speaker 6>thinking there's going to be a battery on the other side,

0:17:18.920 --> 0:17:20.800
<v Speaker 6>and we're going to have efficient and power consumption. That's

0:17:20.800 --> 0:17:23.320
<v Speaker 6>one vector of differentiation. The other one is what I said,

0:17:23.560 --> 0:17:26.800
<v Speaker 6>we design for the future which does not have the

0:17:26.960 --> 0:17:30.240
<v Speaker 6>memory constraint that you have today. We don't have to

0:17:30.320 --> 0:17:33.040
<v Speaker 6>move a lot of data between the accelerator to memory,

0:17:33.080 --> 0:17:37.320
<v Speaker 6>and that reduces thermal, reduces power consumption, and re increases

0:17:37.359 --> 0:17:40.520
<v Speaker 6>the memory bandwidth. And we don't have to use expensive HBM.

0:17:40.880 --> 0:17:43.200
<v Speaker 6>We have the ability to do this at a much

0:17:43.280 --> 0:17:46.800
<v Speaker 6>lower cost. Number three is we are coming in with

0:17:47.040 --> 0:17:52.640
<v Speaker 6>very high density of transistors with our accelerator, and.

0:17:52.600 --> 0:17:53.639
<v Speaker 2>We're not a small company.

0:17:53.680 --> 0:17:58.040
<v Speaker 6>I think we we ship forty billion components a year.

0:17:58.520 --> 0:18:01.560
<v Speaker 6>We do more than already new chips per year on

0:18:01.720 --> 0:18:04.200
<v Speaker 6>leading notes, and I think we have the ability to execute.

0:18:04.400 --> 0:18:07.679
<v Speaker 6>And if the data center is changing because of AGENTIC,

0:18:07.920 --> 0:18:11.679
<v Speaker 6>and the data center is changing because of this aggregation,

0:18:11.880 --> 0:18:13.360
<v Speaker 6>there's an entry point for Qualcom.

0:18:14.119 --> 0:18:18.840
<v Speaker 7>I am curious, Krishano, particularly with Meta and Dragonfly, how

0:18:18.880 --> 0:18:23.320
<v Speaker 7>confident are you that Meta will still be there in

0:18:23.400 --> 0:18:25.720
<v Speaker 7>twenty twenty eight as a partner, and I asked that

0:18:25.840 --> 0:18:28.960
<v Speaker 7>only not so much from the Qualcom side. But Meta

0:18:29.000 --> 0:18:30.719
<v Speaker 7>has sort of moved around a little bit with some

0:18:30.760 --> 0:18:33.679
<v Speaker 7>of its strategies and how it's approaching AI. Is the

0:18:33.720 --> 0:18:36.680
<v Speaker 7>agreement that you have with them? Is that basically firm

0:18:37.040 --> 0:18:42.440
<v Speaker 7>look two parts. Yes, we have a contract with Meta.

0:18:42.480 --> 0:18:44.679
<v Speaker 7>That's why we talk about them as a customer for

0:18:44.760 --> 0:18:49.399
<v Speaker 7>two generations and it's very significant for our CPU. We

0:18:49.520 --> 0:18:51.159
<v Speaker 7>have a very unique CPU if you look at some

0:18:51.160 --> 0:18:53.280
<v Speaker 7>of the metrics we're provided, and I think we have

0:18:53.320 --> 0:18:55.840
<v Speaker 7>a track record that have a good CPU. The second

0:18:55.880 --> 0:18:58.440
<v Speaker 7>part of the question, I will never bet against Meta.

0:18:58.520 --> 0:19:02.520
<v Speaker 7>You know they have they have incredible first party applications,

0:19:02.520 --> 0:19:04.120
<v Speaker 7>they have a lot of data, they have a lot

0:19:04.119 --> 0:19:05.359
<v Speaker 7>of data from consumers.

0:19:05.600 --> 0:19:09.399
<v Speaker 6>They're well positioned. We are on the early innings of AI.

0:19:09.480 --> 0:19:12.280
<v Speaker 6>Anybody that believes right now that whoever the players are

0:19:12.320 --> 0:19:15.480
<v Speaker 6>on an I AI, this is what is already defined.

0:19:15.880 --> 0:19:18.560
<v Speaker 6>This is a this is a decade long and I

0:19:18.560 --> 0:19:21.080
<v Speaker 6>think if what we learned something about the Internet is

0:19:21.880 --> 0:19:24.320
<v Speaker 6>your technologe is going to move very fast and the

0:19:24.359 --> 0:19:26.919
<v Speaker 6>players are going to change. I will not bet against Meta.

0:19:27.400 --> 0:19:29.639
<v Speaker 3>Christiana, can I just jump in on Meta really quickly?

0:19:29.720 --> 0:19:31.919
<v Speaker 3>What I find really interesting about it is the relationship

0:19:31.960 --> 0:19:35.120
<v Speaker 3>was already there right snap Dragon in quest. I spent

0:19:35.200 --> 0:19:37.600
<v Speaker 3>a lot of time down in Palo Alto on the

0:19:37.600 --> 0:19:40.000
<v Speaker 3>Irian project kind of looking at what's under the hood.

0:19:40.320 --> 0:19:43.320
<v Speaker 3>How much did that existing relationship on the consumer electronic

0:19:43.440 --> 0:19:46.440
<v Speaker 3>side get the win on the data center side.

0:19:46.560 --> 0:19:48.840
<v Speaker 6>It's one hundred percent. Look at the end of the day,

0:19:49.920 --> 0:19:52.480
<v Speaker 6>this is not this is not one time relationship. We

0:19:52.600 --> 0:19:55.840
<v Speaker 6>have built over a long period of time, a strategic

0:19:55.880 --> 0:19:58.440
<v Speaker 6>relationship and what happened Also have those relationship in place

0:19:58.480 --> 0:20:01.119
<v Speaker 6>and we have more products, you have trust, you'll have

0:20:01.600 --> 0:20:04.159
<v Speaker 6>the capability of execution. And by the way, this is

0:20:04.200 --> 0:20:07.480
<v Speaker 6>also true what happened on customising. We bought Alpha Wave.

0:20:07.760 --> 0:20:10.119
<v Speaker 6>They have some engagements, but the other part of Qualcom.

0:20:10.200 --> 0:20:13.680
<v Speaker 6>Qualcom has brought a relationship with some of those companies

0:20:13.680 --> 0:20:16.359
<v Speaker 6>and I think that just scale and that's exactly what

0:20:16.480 --> 0:20:16.920
<v Speaker 6>you're seeing.

0:20:17.119 --> 0:20:18.480
<v Speaker 7>Well, can I ask you a little bit about that?

0:20:18.560 --> 0:20:22.119
<v Speaker 7>You mentioned Alpha Wave. You've obviously you have Dentana, you

0:20:22.200 --> 0:20:24.840
<v Speaker 7>have the Modular deal. You made a lot of acquisitions

0:20:24.840 --> 0:20:27.600
<v Speaker 7>in a relatively short period of time. I guess my

0:20:27.680 --> 0:20:31.520
<v Speaker 7>question is twofold a should we expect more anytime soon?

0:20:31.920 --> 0:20:34.760
<v Speaker 7>And based on the acquisitions that you've done, have you

0:20:34.880 --> 0:20:38.159
<v Speaker 7>actually already sort of integrated that into some sort of

0:20:38.520 --> 0:20:42.120
<v Speaker 7>sellable product that's already sort of out there as.

0:20:41.960 --> 0:20:44.720
<v Speaker 6>One, yeah, one hundred percent. Look if you look at

0:20:44.720 --> 0:20:47.720
<v Speaker 6>our track record, right so, especially as I think about

0:20:47.720 --> 0:20:51.920
<v Speaker 6>the diversification of the company. First was automotive. We bought

0:20:52.080 --> 0:20:55.119
<v Speaker 6>a River and that is now the stack that you

0:20:55.160 --> 0:20:59.760
<v Speaker 6>see on BMW for a highway autopilot. We bought Nuvia.

0:21:00.119 --> 0:21:03.040
<v Speaker 6>You see now our CPU showing up not only in

0:21:03.119 --> 0:21:05.960
<v Speaker 6>PC's and phones and automotive, but now in the data center.

0:21:06.760 --> 0:21:09.320
<v Speaker 6>We bought Alpha Wave, and you see us now into

0:21:09.359 --> 0:21:13.000
<v Speaker 6>the connectivity business and the custom AASAIC business, and the

0:21:13.080 --> 0:21:16.399
<v Speaker 6>Module acquisition is incredibly exciting. I actually don't think the

0:21:16.520 --> 0:21:19.920
<v Speaker 6>industry investors really understand what that acquisition is. I think

0:21:19.920 --> 0:21:21.600
<v Speaker 6>my prediction is people are going to read the three

0:21:21.680 --> 0:21:23.520
<v Speaker 6>or four or five times and eventually they're going to

0:21:23.560 --> 0:21:28.880
<v Speaker 6>get it, which is an industry friendly alternative that we're

0:21:28.920 --> 0:21:32.800
<v Speaker 6>going to make it available upon close to everybody. So

0:21:33.000 --> 0:21:34.000
<v Speaker 6>all of those things.

0:21:33.800 --> 0:21:37.280
<v Speaker 7>That Module acquisition you're Chris Latry is sticking around absolutely.

0:21:37.800 --> 0:21:41.359
<v Speaker 6>That's why you can see, if anything, if anything, what

0:21:41.480 --> 0:21:43.840
<v Speaker 6>you should see about this acquisition. By being an all

0:21:43.880 --> 0:21:47.680
<v Speaker 6>stock deal, it means that the founders are now fully

0:21:47.880 --> 0:21:51.160
<v Speaker 6>vested on the future of Qualcom. And I think there's

0:21:51.160 --> 0:21:53.760
<v Speaker 6>another thing that investors did not understand. They asked me

0:21:53.760 --> 0:21:56.280
<v Speaker 6>the question why did this size acquisition do in all

0:21:56.280 --> 0:21:58.960
<v Speaker 6>stock is because they're all now committed to the future

0:21:59.040 --> 0:22:03.000
<v Speaker 6>of Qualcom when we are connected together, so all those

0:22:03.040 --> 0:22:05.160
<v Speaker 6>things as part of us doing that. And to your

0:22:05.240 --> 0:22:08.520
<v Speaker 6>question is there are going to be some other acquisitions,

0:22:08.680 --> 0:22:12.080
<v Speaker 6>but as we have been very disciplined as we're building

0:22:12.119 --> 0:22:15.119
<v Speaker 6>industrial some of the acquisitions we did are Thewena with

0:22:15.240 --> 0:22:19.400
<v Speaker 6>thirty three million. Developers would focus on industrial edging posts.

0:22:19.600 --> 0:22:22.479
<v Speaker 6>Now you see us doing data center. Future acquisitions are

0:22:22.520 --> 0:22:25.600
<v Speaker 6>focused on data center and robotics, which is another area

0:22:25.640 --> 0:22:26.880
<v Speaker 6>of investment for Qualcom.

0:22:27.680 --> 0:22:28.200
<v Speaker 2>Christiano.

0:22:28.440 --> 0:22:31.760
<v Speaker 3>Smartphone and AIPC is still there for you, right and

0:22:32.160 --> 0:22:34.399
<v Speaker 3>you'll be aware of the world that we woke up

0:22:34.440 --> 0:22:37.800
<v Speaker 3>to this morning in memory with Apple raising crisis as

0:22:37.840 --> 0:22:41.440
<v Speaker 3>well as your outlook for the PC and smartphone markets

0:22:41.560 --> 0:22:45.240
<v Speaker 3>changed or shifted it all for this year next year.

0:22:45.480 --> 0:22:48.080
<v Speaker 6>That's a great question. I think you have to look

0:22:48.119 --> 0:22:51.760
<v Speaker 6>at those markets very short term and you need to

0:22:51.800 --> 0:22:54.639
<v Speaker 6>look at this market. So what's happening in the midterm

0:22:54.960 --> 0:22:57.760
<v Speaker 6>for the very short term. I think the whole world

0:22:58.080 --> 0:23:03.560
<v Speaker 6>is dealing with this emory situation right now, which is

0:23:03.560 --> 0:23:07.200
<v Speaker 6>not great. And I think I respect the companies kind

0:23:07.240 --> 0:23:09.840
<v Speaker 6>of make choice of the different industries. But then what

0:23:09.960 --> 0:23:12.919
<v Speaker 6>happened is you don't have to demand the problem and

0:23:13.040 --> 0:23:17.080
<v Speaker 6>mobile NPC you have the memory availability and prices. I

0:23:17.080 --> 0:23:19.840
<v Speaker 6>think what you saw the message from Apple, So we

0:23:19.920 --> 0:23:24.840
<v Speaker 6>even expect when we think about, for example, the Android

0:23:24.880 --> 0:23:28.480
<v Speaker 6>market in China, I think when you think about year

0:23:28.560 --> 0:23:30.720
<v Speaker 6>over year, when you look at twenty seven, expect it

0:23:30.760 --> 0:23:34.000
<v Speaker 6>to be flat to probably a down bias. And that

0:23:34.080 --> 0:23:37.000
<v Speaker 6>has all to do not with demand but with the

0:23:37.040 --> 0:23:37.840
<v Speaker 6>memory situation.

0:23:38.240 --> 0:23:39.640
<v Speaker 2>But the other parts more interesting.

0:23:40.280 --> 0:23:43.800
<v Speaker 6>There's a lot of clarity right now because of agents,

0:23:44.200 --> 0:23:47.600
<v Speaker 6>how this market is going to change with AI very

0:23:47.800 --> 0:23:50.280
<v Speaker 6>very clear, and I think we see a lot of

0:23:50.320 --> 0:23:54.239
<v Speaker 6>those phones now becoming the customers of the phone as

0:23:54.280 --> 0:23:57.000
<v Speaker 6>the human and the agents, and that is changing the

0:23:57.119 --> 0:23:58.919
<v Speaker 6>architecture of the devices.

0:24:00.119 --> 0:24:04.720
<v Speaker 3>CEO Christiano Ammon and Bloomberg's remain vostic. Fantastic conversation. Thank

0:24:04.760 --> 0:24:14.520
<v Speaker 3>you both very much. Indeed, welcome back to Bloomberg Tech.

0:24:14.600 --> 0:24:16.959
<v Speaker 3>I'm going to take a look at today's big number,

0:24:17.040 --> 0:24:20.920
<v Speaker 3>which actually may be our smallest big number. Yes, sub

0:24:21.080 --> 0:24:24.320
<v Speaker 3>one nanometer. IBM has unveiled what it calls the world's

0:24:24.440 --> 0:24:29.080
<v Speaker 3>first sub one nanometer chip technology, squeezing nearly one hundred

0:24:29.080 --> 0:24:32.520
<v Speaker 3>billion transistors onto a chip about the size of a fingernail.

0:24:32.840 --> 0:24:36.240
<v Speaker 3>For scale or reference, a human hair is about eighty

0:24:36.359 --> 0:24:40.320
<v Speaker 3>thousand to one hundred thousand animeters wide. We're talking sub

0:24:40.520 --> 0:24:44.639
<v Speaker 3>one nanometer. Let's get to Micron. Micron's earnings and the

0:24:44.680 --> 0:24:47.040
<v Speaker 3>memory environment are our top story right now. Micron's up

0:24:47.040 --> 0:24:50.399
<v Speaker 3>twelve percent. It's on track for its biggest jump in

0:24:50.400 --> 0:24:52.480
<v Speaker 3>a month. Earlier in the session have been much higher.

0:24:52.760 --> 0:24:56.679
<v Speaker 3>Suppli is tight, prices will remain high. Bloomberg Intelligence writing,

0:24:56.760 --> 0:25:01.160
<v Speaker 3>these earnings reflect AI related demand, but don't quite capture

0:25:01.480 --> 0:25:05.080
<v Speaker 3>the structural changes to the industry. Let's get out to

0:25:05.080 --> 0:25:08.919
<v Speaker 3>Bloomberg Intelligence analyst Jake Silverman the headline there or the

0:25:08.960 --> 0:25:11.840
<v Speaker 3>title the memory up cycle. For a few days now,

0:25:11.880 --> 0:25:13.960
<v Speaker 3>you and I have been talking about is this a

0:25:14.000 --> 0:25:17.920
<v Speaker 3>massive departure from the memory market's historical norm. You seem

0:25:17.960 --> 0:25:19.280
<v Speaker 3>to be writing now that it is.

0:25:19.840 --> 0:25:24.639
<v Speaker 9>Yeah, it definitely is too many extent, to quite an extent,

0:25:24.720 --> 0:25:28.359
<v Speaker 9>because in the past, what we've really seen is you

0:25:28.760 --> 0:25:31.600
<v Speaker 9>see contracts on a monthly or quarterly basis, and so

0:25:32.280 --> 0:25:34.720
<v Speaker 9>the fact that we're now seeing contracts extending out to

0:25:35.119 --> 0:25:38.320
<v Speaker 9>twenty thirty in many cases, it just shows that there's

0:25:38.320 --> 0:25:41.000
<v Speaker 9>a structural difference in the way that customers are thinking

0:25:41.000 --> 0:25:44.000
<v Speaker 9>about procuring their memory. And a lot of this is

0:25:44.040 --> 0:25:47.120
<v Speaker 9>just driven by the substantial price increases that we've seen,

0:25:48.040 --> 0:25:51.880
<v Speaker 9>you know, with memory probably increasing two hundred to three

0:25:51.960 --> 0:25:55.200
<v Speaker 9>hundred percent this year for dram and Land. You know,

0:25:55.880 --> 0:25:58.359
<v Speaker 9>the hyperscalers want to make sure that not only do

0:25:58.440 --> 0:26:00.440
<v Speaker 9>they have the supply that they need, but they want

0:26:00.480 --> 0:26:02.520
<v Speaker 9>to be able to make sure that they have a

0:26:02.560 --> 0:26:04.560
<v Speaker 9>good idea of the range of pricing that they can

0:26:04.600 --> 0:26:07.040
<v Speaker 9>expect as they're building out these AI data centers.

0:26:07.960 --> 0:26:10.879
<v Speaker 3>Jake, I'm about to have a really important conversation on software,

0:26:11.280 --> 0:26:14.280
<v Speaker 3>so we should probably remind the audience, like what's happening

0:26:14.280 --> 0:26:17.359
<v Speaker 3>in the background, and that is massive demand for memory

0:26:17.440 --> 0:26:20.879
<v Speaker 3>chips in AI data centers, either for training or for

0:26:21.000 --> 0:26:22.760
<v Speaker 3>running AI workloads.

0:26:22.920 --> 0:26:24.359
<v Speaker 2>Just explain the bigger picture.

0:26:24.880 --> 0:26:26.920
<v Speaker 9>Yeah, so when you're thinking about building out an AI

0:26:27.000 --> 0:26:29.240
<v Speaker 9>data center, you need all of these GPUs. I think

0:26:29.280 --> 0:26:33.640
<v Speaker 9>in video really clearly the dominant player on training. They

0:26:33.680 --> 0:26:36.720
<v Speaker 9>have two hundred and eighty eight gigabytes of HBM per

0:26:36.800 --> 0:26:41.200
<v Speaker 9>GPU in their NVL seventy two racks and whatever other

0:26:41.320 --> 0:26:44.600
<v Speaker 9>rack configuration that they have. But yeah, actually, interestingly enough,

0:26:44.640 --> 0:26:47.199
<v Speaker 9>you've seen Google with their TPU going up from one

0:26:47.240 --> 0:26:49.440
<v Speaker 9>hundred and ninety two gigabytes to two hundred and sixteen

0:26:49.960 --> 0:26:53.680
<v Speaker 9>two hundred eighty eight for different skews, Trainium clearly increasing

0:26:53.680 --> 0:26:56.280
<v Speaker 9>the amount of HBM. So it's not just in video,

0:26:56.800 --> 0:26:59.600
<v Speaker 9>it's the entire ecosystem just requires more HBM. And then

0:26:59.640 --> 0:27:02.359
<v Speaker 9>we're not even getting into the system memory that you need.

0:27:02.480 --> 0:27:04.680
<v Speaker 2>The LP DDR, the DDR that.

0:27:04.680 --> 0:27:09.320
<v Speaker 9>Supports all sorts of different functions for AI demand and

0:27:09.359 --> 0:27:12.520
<v Speaker 9>that extends beyond training into inferencing, and we haven't even

0:27:12.560 --> 0:27:14.680
<v Speaker 9>touched on ergentic AI. And so if you start to

0:27:14.680 --> 0:27:17.280
<v Speaker 9>see a proliferation or an inflection of a lot of

0:27:17.280 --> 0:27:20.800
<v Speaker 9>these different AI tools, it's going to require a memory

0:27:20.880 --> 0:27:24.600
<v Speaker 9>as one of the foundational background enabling technologies.

0:27:25.440 --> 0:27:28.359
<v Speaker 3>Bloomberg Intelligence is Jake Silverman with the React. Thank you

0:27:28.480 --> 0:27:31.560
<v Speaker 3>very much. Indeed, let's talk software. But it's annual config

0:27:31.640 --> 0:27:35.480
<v Speaker 3>conference in San Francisco. Collaborative design firm FIGMA just unveiled

0:27:35.520 --> 0:27:39.160
<v Speaker 3>a platform overhaul for the AI era, transforming its workspace

0:27:39.200 --> 0:27:42.919
<v Speaker 3>into what it calls an intelligent canvas for full stack

0:27:43.240 --> 0:27:46.920
<v Speaker 3>digital creation. It allows teams to build animations, integrate AI agents,

0:27:47.359 --> 0:27:50.480
<v Speaker 3>and write native code all in one place. Delight to

0:27:50.520 --> 0:27:53.040
<v Speaker 3>say that joining us is Figma co founder and CEO

0:27:53.440 --> 0:27:54.720
<v Speaker 3>Dylan Field back on the show.

0:27:54.840 --> 0:27:56.480
<v Speaker 2>It's good to see you. Good to see you too,

0:27:56.600 --> 0:27:57.360
<v Speaker 2>Thanks for having me.

0:27:58.600 --> 0:28:02.639
<v Speaker 3>The idea is that you want your audience, which is

0:28:02.680 --> 0:28:04.800
<v Speaker 3>developers and also customers, just to be able to do

0:28:04.880 --> 0:28:06.359
<v Speaker 3>more in one place.

0:28:06.680 --> 0:28:10.040
<v Speaker 10>Designers, yeah, product designers and designers of all types as

0:28:10.080 --> 0:28:11.120
<v Speaker 10>well as those they work with.

0:28:12.000 --> 0:28:14.600
<v Speaker 3>What's the breakthrough here? What have you done from the

0:28:14.640 --> 0:28:16.720
<v Speaker 3>technology side that's allowed for that?

0:28:17.000 --> 0:28:21.680
<v Speaker 10>Absolutely, So, rather than having only vectors and images on

0:28:21.720 --> 0:28:25.240
<v Speaker 10>the canvas, we've also added in all sorts of other things.

0:28:25.280 --> 0:28:28.920
<v Speaker 10>For example, now you can have code layers where you're

0:28:28.960 --> 0:28:33.159
<v Speaker 10>able to actually have a representation of code that's running

0:28:33.280 --> 0:28:38.000
<v Speaker 10>and interactive on the canvas alongside your designer presentations. Plus

0:28:38.080 --> 0:28:39.960
<v Speaker 10>we've made it so that you can generate with the

0:28:39.960 --> 0:28:44.440
<v Speaker 10>Figma Agent plugins that let your team do reusable workflows,

0:28:45.240 --> 0:28:50.640
<v Speaker 10>run skills, and we're very excited about the generative effects

0:28:50.760 --> 0:28:54.600
<v Speaker 10>and shaders that we've added shaders let you do advanced

0:28:54.600 --> 0:28:58.200
<v Speaker 10>graphics work on the canvas. And finally we unveiled Figma

0:28:58.320 --> 0:29:03.480
<v Speaker 10>Motion Figmotion and I'm really excited about and our community

0:29:03.680 --> 0:29:06.160
<v Speaker 10>is honestly just over the moon.

0:29:06.520 --> 0:29:09.840
<v Speaker 2>Is it something you asketful? Sorry? Was is it something

0:29:09.880 --> 0:29:10.440
<v Speaker 2>you asked for?

0:29:10.640 --> 0:29:12.880
<v Speaker 3>By the designers, they basically say like, we want this,

0:29:12.960 --> 0:29:13.880
<v Speaker 3>can you building.

0:29:13.800 --> 0:29:17.280
<v Speaker 2>Since we've started? Okay, they've asked what's the impetus for it? Yeah?

0:29:17.320 --> 0:29:20.240
<v Speaker 10>So I think that if you zoom out right now,

0:29:20.280 --> 0:29:25.040
<v Speaker 10>we're in a place where AI is trained on indistbution

0:29:25.240 --> 0:29:30.760
<v Speaker 10>data and the center of the distribution is your average.

0:29:31.280 --> 0:29:32.840
<v Speaker 2>That's what's it's trained on.

0:29:33.480 --> 0:29:36.480
<v Speaker 10>And when you're prompting and you're getting outputs, it's so

0:29:36.920 --> 0:29:40.720
<v Speaker 10>often that you're getting this average output and people can

0:29:40.760 --> 0:29:44.560
<v Speaker 10>smell that they are almost it's just like AI writing.

0:29:45.200 --> 0:29:48.360
<v Speaker 10>You ever get sort of triggered and a little bit

0:29:48.440 --> 0:29:51.160
<v Speaker 10>like is that AI when you're reading something.

0:29:51.280 --> 0:29:54.200
<v Speaker 3>I think it's attributable too, yes, because they're not all equal,

0:29:55.120 --> 0:29:55.560
<v Speaker 3>or just.

0:29:55.560 --> 0:29:57.840
<v Speaker 10>If you think something's been AI written in the first place,

0:29:58.360 --> 0:30:01.720
<v Speaker 10>and the same thing is true for design. I think

0:30:01.760 --> 0:30:04.239
<v Speaker 10>that as people are trying to stand out with their

0:30:04.280 --> 0:30:07.600
<v Speaker 10>businesses be bold, have a point of view that will

0:30:07.600 --> 0:30:11.640
<v Speaker 10>be rewarded, and only humans can really raise the ceiling here.

0:30:11.880 --> 0:30:16.360
<v Speaker 10>They can use AI to be more effective, but humans

0:30:16.360 --> 0:30:19.280
<v Speaker 10>bring the point of view and they actually are able

0:30:19.280 --> 0:30:22.000
<v Speaker 10>to use design as a differentiator to make it so

0:30:22.080 --> 0:30:26.600
<v Speaker 10>that their product, their software, their business, their brand, their marketing,

0:30:26.600 --> 0:30:31.160
<v Speaker 10>they're advertising stands out breaks to the noiseness increasingly wild

0:30:31.160 --> 0:30:33.560
<v Speaker 10>attention economy we find ourselves in, which will only be

0:30:33.600 --> 0:30:35.800
<v Speaker 10>more flooded by AIS.

0:30:35.960 --> 0:30:37.200
<v Speaker 2>That's quite big picture of stuff.

0:30:37.240 --> 0:30:38.440
<v Speaker 3>I mean, what I wanted to ask you is that

0:30:38.560 --> 0:30:41.320
<v Speaker 3>the technology underpinning all of this. If you remember back

0:30:41.400 --> 0:30:44.280
<v Speaker 3>to Open AI dead Day twenty twenty five, you and

0:30:44.320 --> 0:30:46.360
<v Speaker 3>I had a conversation and your stock was going up

0:30:46.400 --> 0:30:48.360
<v Speaker 3>a lot because you've got a name check on stage.

0:30:48.800 --> 0:30:50.640
<v Speaker 2>You telling me that and you know by that.

0:30:51.280 --> 0:30:53.880
<v Speaker 3>But in this case, let's take the coding layer for example,

0:30:54.200 --> 0:30:57.920
<v Speaker 3>is it something you've built yourself or your model agnostic

0:30:58.320 --> 0:30:59.760
<v Speaker 3>or coding platform agnostic.

0:31:00.000 --> 0:31:01.240
<v Speaker 2>Now we get to the net results.

0:31:01.280 --> 0:31:03.840
<v Speaker 10>We've always taken a modular approach on what models we

0:31:03.880 --> 0:31:06.640
<v Speaker 10>can use, and so we can swap models in out

0:31:06.760 --> 0:31:09.240
<v Speaker 10>whenever we like, on behalf of the user or at

0:31:09.280 --> 0:31:13.440
<v Speaker 10>the user's request, and what we do is basically, you

0:31:13.480 --> 0:31:16.320
<v Speaker 10>can take your design and just move it over to

0:31:16.400 --> 0:31:19.040
<v Speaker 10>a code layer and it'll automatically convert it.

0:31:19.400 --> 0:31:20.719
<v Speaker 2>You can then make that interactive.

0:31:21.200 --> 0:31:23.880
<v Speaker 10>You can also in the future imagine a world where

0:31:23.880 --> 0:31:28.400
<v Speaker 10>you're prototyping or even going to production with code Enfigma

0:31:28.840 --> 0:31:31.200
<v Speaker 10>and by being part of that token flow, we're very

0:31:31.200 --> 0:31:33.880
<v Speaker 10>excited about what that can mean for our users and

0:31:33.920 --> 0:31:38.000
<v Speaker 10>their abilities to really impact the platform because as code

0:31:38.040 --> 0:31:40.600
<v Speaker 10>is commoditizing, what we're seeing is that the value is

0:31:40.600 --> 0:31:43.600
<v Speaker 10>moving up the stack to design. Designers are the ones

0:31:43.640 --> 0:31:46.640
<v Speaker 10>that we think in the future will be building all

0:31:46.640 --> 0:31:47.320
<v Speaker 10>the software so.

0:31:47.280 --> 0:31:48.400
<v Speaker 2>It can equal revenues.

0:31:48.840 --> 0:31:50.400
<v Speaker 3>As you know, a lot of your users watch the

0:31:50.440 --> 0:31:52.440
<v Speaker 3>show and I always try to get their input what

0:31:52.480 --> 0:31:53.120
<v Speaker 3>they'd ask you.

0:31:53.280 --> 0:31:55.520
<v Speaker 2>I have one audience question and I'm just going to

0:31:55.560 --> 0:31:55.920
<v Speaker 2>read it to you.

0:31:55.960 --> 0:31:59.000
<v Speaker 3>Is there any plan to make Figma a platform for

0:31:59.160 --> 0:32:03.320
<v Speaker 3>brand integrate using MCP? And so this person says, for instance,

0:32:03.520 --> 0:32:05.440
<v Speaker 3>I may use a different application to build my.

0:32:05.400 --> 0:32:05.960
<v Speaker 2>Website, etc.

0:32:06.480 --> 0:32:08.800
<v Speaker 3>But my AI agent needs to access what he calls

0:32:08.840 --> 0:32:12.640
<v Speaker 3>his ground truth, his own IP, his own branding, logos, artwork,

0:32:12.640 --> 0:32:13.120
<v Speaker 3>et cetera.

0:32:14.280 --> 0:32:17.640
<v Speaker 10>Not only that, but also we want to do even

0:32:17.720 --> 0:32:21.680
<v Speaker 10>more when it comes to your digital asset production workflows.

0:32:22.160 --> 0:32:26.320
<v Speaker 10>So as you're figuring out ways to create systems and

0:32:26.360 --> 0:32:31.480
<v Speaker 10>workflows to do advertising, to do media generation, one of

0:32:31.520 --> 0:32:35.280
<v Speaker 10>our bets is Weave and Phigma. Weave is a platform

0:32:35.320 --> 0:32:38.840
<v Speaker 10>that is able to compose models and workflows so that

0:32:38.880 --> 0:32:43.000
<v Speaker 10>you can still have that human touch, that craft and

0:32:43.280 --> 0:32:47.120
<v Speaker 10>really shape the output of models like Clay, and through

0:32:47.120 --> 0:32:50.320
<v Speaker 10>that you can get to extraordinary results. You can then

0:32:50.520 --> 0:32:53.800
<v Speaker 10>run those workflows through an API and pull them into

0:32:53.880 --> 0:32:57.240
<v Speaker 10>whatever system you like. But we're very excited to be

0:32:57.320 --> 0:32:59.720
<v Speaker 10>that system of record, not only for the brand assets

0:32:59.760 --> 0:33:03.360
<v Speaker 10>and design system, but also for these workflows as well.

0:33:03.800 --> 0:33:06.280
<v Speaker 3>Big the co founder and CEO Dylan Field back on

0:33:06.280 --> 0:33:07.600
<v Speaker 3>Bloomberg Tech, Thank you very much.

0:33:07.680 --> 0:33:07.920
<v Speaker 2>Cue.

0:33:10.440 --> 0:33:13.040
<v Speaker 3>There's a new threat to tech stocks, and it's not

0:33:13.080 --> 0:33:16.920
<v Speaker 3>what you'd expect. Public anger towards AI has Wall Street

0:33:16.920 --> 0:33:21.640
<v Speaker 3>strategist warning it could spurt anti AI policies, creating another

0:33:21.720 --> 0:33:24.720
<v Speaker 3>challenge for markets already grappling with a shaky rally in

0:33:24.800 --> 0:33:27.800
<v Speaker 3>tech stocks, marked both by both rapid growth but also

0:33:27.800 --> 0:33:28.680
<v Speaker 3>sharp volatility.

0:33:28.840 --> 0:33:30.440
<v Speaker 2>Boy did we learn that lesson this morning.

0:33:30.560 --> 0:33:34.760
<v Speaker 3>Bloomberg's Matthew Griffin has more really interesting read. We've done

0:33:34.760 --> 0:33:36.520
<v Speaker 3>a little bit more on the show in the past

0:33:36.560 --> 0:33:40.720
<v Speaker 3>six to twelve months about the kind of pr crisis

0:33:40.720 --> 0:33:43.360
<v Speaker 3>that AI is having with Americans. At least now this

0:33:43.520 --> 0:33:46.680
<v Speaker 3>is translating to the desks of Wall Street strategists who

0:33:46.680 --> 0:33:49.440
<v Speaker 3>are saying something could happen as a result, just explain

0:33:49.480 --> 0:33:50.160
<v Speaker 3>the report.

0:33:50.880 --> 0:33:54.680
<v Speaker 11>Well ed, thanks for having me on. And like you said,

0:33:54.720 --> 0:33:58.560
<v Speaker 11>strategists are starting to tell their clients pay attention to

0:33:58.640 --> 0:34:01.800
<v Speaker 11>this polling data, pay attention to what's happening at the

0:34:01.840 --> 0:34:07.440
<v Speaker 11>local level, because again, Americans, they are very unhappy about

0:34:07.440 --> 0:34:10.919
<v Speaker 11>the idea that AI might take their jobs. They're very

0:34:11.040 --> 0:34:14.040
<v Speaker 11>unhappy at the prospect that data centers might be pushing

0:34:14.080 --> 0:34:17.880
<v Speaker 11>up electricity prices. And what strategists think is there is

0:34:17.920 --> 0:34:20.680
<v Speaker 11>a chance that's going at some point to translate into

0:34:20.800 --> 0:34:24.120
<v Speaker 11>policy that slows the rate of the AI boom, slows

0:34:24.160 --> 0:34:27.000
<v Speaker 11>profit growth for the hyperscalers, for the chip makers, you

0:34:27.080 --> 0:34:29.800
<v Speaker 11>name it. It's things like a pause on data center construction.

0:34:30.120 --> 0:34:32.279
<v Speaker 11>And you look at a market where the number one

0:34:32.400 --> 0:34:34.960
<v Speaker 11>question is what's the return on this investment? That could

0:34:34.960 --> 0:34:36.560
<v Speaker 11>be a pretty big risk eventually.

0:34:37.520 --> 0:34:39.640
<v Speaker 3>So that's why I want it's going next is this

0:34:40.440 --> 0:34:43.520
<v Speaker 3>hardware related, like there is a ban on building data centers,

0:34:44.200 --> 0:34:46.279
<v Speaker 3>or is the concern that there is some kind of

0:34:46.880 --> 0:34:50.120
<v Speaker 3>heavy regulatory intervention on the software side.

0:34:50.239 --> 0:34:52.560
<v Speaker 11>Well, if you look at sort of the worst case

0:34:52.560 --> 0:34:56.480
<v Speaker 11>scenario that Wall Street's talking about, there is an example

0:34:56.520 --> 0:35:00.680
<v Speaker 11>of each One would be a national moratorium or pause

0:35:00.760 --> 0:35:03.080
<v Speaker 11>on data center construction, and the other would be some

0:35:03.200 --> 0:35:08.360
<v Speaker 11>kind of tax targeting big tech companies or targeting AI producers. Now,

0:35:08.719 --> 0:35:12.640
<v Speaker 11>we have seen progressive politicians members of Congress pushing for

0:35:12.680 --> 0:35:15.839
<v Speaker 11>these policies already. We aren't there yet, but we are

0:35:15.960 --> 0:35:18.640
<v Speaker 11>seeing them at the local and at the state levels.

0:35:18.680 --> 0:35:21.640
<v Speaker 11>There are a bunch of cities and counties that have

0:35:21.680 --> 0:35:25.520
<v Speaker 11>paused data center construction. There's actually a moratorium sitting on

0:35:25.560 --> 0:35:28.840
<v Speaker 11>the governor's desk here in New York awaiting her signature

0:35:28.960 --> 0:35:31.680
<v Speaker 11>or her veto. And we've seen governors in Ohio and

0:35:31.840 --> 0:35:36.000
<v Speaker 11>Illinois pausing tax breaks for data centers. So we're starting

0:35:36.000 --> 0:35:37.600
<v Speaker 11>to see this kind of thing percolating.

0:35:38.880 --> 0:35:41.920
<v Speaker 3>Biomas Matthew Griffin with a really well read story on

0:35:41.960 --> 0:35:44.239
<v Speaker 3>the Bloomberg terminal and dot com. Thank you so much.

0:35:44.320 --> 0:35:46.520
<v Speaker 3>Let's stay in the realm of the AI build out.

0:35:46.520 --> 0:35:50.239
<v Speaker 3>According to a new report, AI revenue may have reached

0:35:50.280 --> 0:35:54.440
<v Speaker 3>a tipping point. Analysis from exponential View shows global AI

0:35:54.520 --> 0:35:58.120
<v Speaker 3>sales excluding China reached twenty five billion dollars in the

0:35:58.120 --> 0:36:02.120
<v Speaker 3>first quarter of this year, preciation from data center and

0:36:02.200 --> 0:36:05.919
<v Speaker 3>chips investments. Well, that's expected to be just twenty one

0:36:06.000 --> 0:36:10.160
<v Speaker 3>billion dollars. So is the AI build out finally paying off?

0:36:10.480 --> 0:36:13.080
<v Speaker 3>Azeemas are founder of Exponential View and an aufer on

0:36:13.080 --> 0:36:16.120
<v Speaker 3>that report, as well as a Bloomberg contributor joins us.

0:36:16.120 --> 0:36:19.320
<v Speaker 3>Now we've talked about this for so long, the machine

0:36:19.360 --> 0:36:23.040
<v Speaker 3>where you know the numbers that are going in capital expenditures,

0:36:23.360 --> 0:36:25.360
<v Speaker 3>it's just been very hard to find the numbers that

0:36:25.400 --> 0:36:26.960
<v Speaker 3>are coming out the other side.

0:36:27.120 --> 0:36:29.320
<v Speaker 2>You seem to have found them.

0:36:29.520 --> 0:36:31.840
<v Speaker 8>Well, thank you for having me on your show, Ed,

0:36:32.040 --> 0:36:34.239
<v Speaker 8>and I thought it was really important that we do

0:36:35.280 --> 0:36:39.320
<v Speaker 8>find them. The supply side is well understood. How many picks, shovels, chips,

0:36:39.400 --> 0:36:42.560
<v Speaker 8>data centers are being built and how much does that cost.

0:36:43.160 --> 0:36:46.280
<v Speaker 8>Piecing together what's happening on the demand side is much harder.

0:36:46.640 --> 0:36:50.359
<v Speaker 8>The biggest AI companies are privately held, they don't need

0:36:50.400 --> 0:36:55.560
<v Speaker 8>to disclose, and the hyperscalers, the big three AI is

0:36:55.640 --> 0:36:58.719
<v Speaker 8>only a small subsegment of a subsegment of their businesses,

0:36:58.880 --> 0:37:02.560
<v Speaker 8>and so they don't really disclose, but there are enough clues.

0:37:02.600 --> 0:37:04.400
<v Speaker 8>And for the last six months, my team and I

0:37:04.520 --> 0:37:07.360
<v Speaker 8>have been looking at every public disclosure that we can

0:37:07.440 --> 0:37:10.359
<v Speaker 8>up and down the supply chain, from the hyperscalers, from

0:37:10.600 --> 0:37:16.080
<v Speaker 8>well sourced leaks, to reconstruct the AI economy and to

0:37:16.160 --> 0:37:21.320
<v Speaker 8>reconstruct specifically, what is the top revenue coming in from customers,

0:37:21.480 --> 0:37:25.799
<v Speaker 8>enterprises and consumers without any double counting, And that's where

0:37:26.040 --> 0:37:28.360
<v Speaker 8>what we publish today, and that's the twenty five billion

0:37:28.360 --> 0:37:31.960
<v Speaker 8>dollars in Q one twenty twenty six that you referred to,

0:37:32.040 --> 0:37:34.640
<v Speaker 8>and I think it's really critical this lifts the fog

0:37:34.680 --> 0:37:35.000
<v Speaker 8>of war.

0:37:35.880 --> 0:37:38.120
<v Speaker 3>You can also look forward, right, so you're exactly right.

0:37:38.560 --> 0:37:40.480
<v Speaker 3>I mentioned a moment in time and that was that

0:37:41.280 --> 0:37:44.359
<v Speaker 3>period gone. But if you looked I guess on an

0:37:44.400 --> 0:37:48.279
<v Speaker 3>annualized revenue run rate basis, you can say per the

0:37:48.400 --> 0:37:52.120
<v Speaker 3>report that actually there is continued growth accelerating growth in

0:37:52.160 --> 0:37:53.080
<v Speaker 3>those revenues too.

0:37:54.680 --> 0:37:55.239
<v Speaker 2>Absolutely.

0:37:55.280 --> 0:37:58.959
<v Speaker 8>I mean we view the if you annualize the current month,

0:37:59.040 --> 0:38:02.560
<v Speaker 8>we're at one hundred and seventy billion dollars of annuallyzed

0:38:02.840 --> 0:38:07.440
<v Speaker 8>revenues without any double counting that represents a two hundred

0:38:07.440 --> 0:38:11.480
<v Speaker 8>percent growth rate on the previous point, this time twelve

0:38:11.480 --> 0:38:14.440
<v Speaker 8>months ago. But the current growth rate is still at

0:38:14.480 --> 0:38:18.200
<v Speaker 8>around two hundred percent. And what's really remarkable, ed is

0:38:18.200 --> 0:38:20.680
<v Speaker 8>that you would expect that growth rate to start to

0:38:20.719 --> 0:38:23.399
<v Speaker 8>slow down, and in fact, we were caught out by

0:38:23.400 --> 0:38:25.439
<v Speaker 8>this because we had in our modeling from the start

0:38:25.480 --> 0:38:28.440
<v Speaker 8>of this year predicted it would slow down, and what

0:38:28.600 --> 0:38:31.480
<v Speaker 8>turned out to happen was that Anthropic went on a

0:38:31.520 --> 0:38:33.279
<v Speaker 8>real tear and kept the growth rate.

0:38:33.280 --> 0:38:36.600
<v Speaker 3>High, which you're showing the chart that goes back to

0:38:36.640 --> 0:38:39.040
<v Speaker 3>what I said at the top, the point being quarterly

0:38:39.160 --> 0:38:43.359
<v Speaker 3>revenue pace and current number is now exceeding the depreciation

0:38:43.480 --> 0:38:46.600
<v Speaker 3>on the hardware side. I'm assuming it is em that

0:38:46.600 --> 0:38:49.399
<v Speaker 3>you're a great student of history, just as I am.

0:38:49.600 --> 0:38:52.080
<v Speaker 3>And what's so interesting is like you can go back

0:38:52.120 --> 0:38:54.680
<v Speaker 3>and say, well, what happened at the advent of the smartphone,

0:38:54.760 --> 0:38:58.320
<v Speaker 3>or even of cloud computing the Internet if you want,

0:38:58.600 --> 0:39:01.800
<v Speaker 3>where does what's happening AI on those real revenue stack

0:39:01.880 --> 0:39:04.640
<v Speaker 3>up against those prior moments in technology history.

0:39:05.760 --> 0:39:09.280
<v Speaker 8>Those moments are epic. They were some of the fastest

0:39:09.320 --> 0:39:13.120
<v Speaker 8>growing business waves we've seen in the United States worldwide. Ever,

0:39:13.200 --> 0:39:17.360
<v Speaker 8>in history, AI real revenues is growing roughly three times

0:39:17.400 --> 0:39:21.040
<v Speaker 8>faster than the Internet grew, roughly three times faster than

0:39:21.520 --> 0:39:24.680
<v Speaker 8>mobile grew. So this is a really fast in demand

0:39:24.719 --> 0:39:28.680
<v Speaker 8>product that enterprises across America and consumers around the world

0:39:28.760 --> 0:39:29.640
<v Speaker 8>are really buying into.

0:39:29.680 --> 0:39:32.799
<v Speaker 2>At the moment, a z in real quick to end.

0:39:32.880 --> 0:39:37.640
<v Speaker 3>What happens next, Well, what happens next is we see

0:39:37.640 --> 0:39:39.640
<v Speaker 3>more of main Street trying to get this right.

0:39:39.840 --> 0:39:42.920
<v Speaker 8>We see more competition. I think people are concerned with

0:39:43.360 --> 0:39:45.960
<v Speaker 8>the price of some of the proprietary models. We'll see

0:39:46.200 --> 0:39:50.480
<v Speaker 8>large enterprises rotate towards open source, which provides better value

0:39:50.480 --> 0:39:53.600
<v Speaker 8>for money. But I do think that as enterprises get

0:39:53.600 --> 0:39:55.759
<v Speaker 8>better at doing this, as main Street understands how to

0:39:55.840 --> 0:39:57.759
<v Speaker 8>use AI, they will double down there.

0:39:59.360 --> 0:40:02.040
<v Speaker 3>Zeemers are founder of Exponential View of Bloomberg Contributes. It

0:40:02.040 --> 0:40:03.719
<v Speaker 3>has been really great to have you on Bloomberg Tech

0:40:03.960 --> 0:40:05.040
<v Speaker 3>such command of the data.

0:40:05.040 --> 0:40:06.640
<v Speaker 2>I really appreciate it. Thank you very much.

0:40:06.800 --> 0:40:09.440
<v Speaker 3>Now coming up on the show, Google's AI efforts have

0:40:09.520 --> 0:40:12.920
<v Speaker 3>taken a hit with the departure of even more top talent.

0:40:13.360 --> 0:40:14.960
<v Speaker 3>It's been a bit of a wave of late. We'll

0:40:14.960 --> 0:40:17.080
<v Speaker 3>have the details next This is Bloomberg Tech.

0:40:28.120 --> 0:40:31.440
<v Speaker 12>It's time now for talking tech. I'man Hira honand first Up.

0:40:31.520 --> 0:40:35.120
<v Speaker 12>The AI Boom is making its way onto NBA floors.

0:40:35.160 --> 0:40:38.879
<v Speaker 12>Cloud infrastructure provider Iron is taking over the Golden State

0:40:38.920 --> 0:40:43.160
<v Speaker 12>Warriors Jersey patch starting next season, betting the partnership will

0:40:43.239 --> 0:40:47.719
<v Speaker 12>raise its profile in the Bay areas booming AI ecosystem.

0:40:47.760 --> 0:40:52.800
<v Speaker 12>The deal also makes Iron the team's official AI cloud partner. Plus,

0:40:52.840 --> 0:40:56.839
<v Speaker 12>Anthropic is accusing Ali Baba of accusing nearly twenty five

0:40:56.960 --> 0:41:01.240
<v Speaker 12>thousand fake accounts to illicitly access its claud ai model,

0:41:01.560 --> 0:41:04.120
<v Speaker 12>and a letter to US senators and White House officials,

0:41:04.160 --> 0:41:07.680
<v Speaker 12>Anthropic called it the biggest ever yet by a Chinese

0:41:07.719 --> 0:41:12.040
<v Speaker 12>company to piggyback on the work of leading USAI labs.

0:41:12.760 --> 0:41:16.480
<v Speaker 12>And Amazon is doubling down on India's AI boom, announcing

0:41:16.520 --> 0:41:20.560
<v Speaker 12>another thirteen billion dollars to expand its cloud and AI

0:41:20.600 --> 0:41:25.040
<v Speaker 12>infrastructure in the country, including in Mumbai. The announcement comes

0:41:25.040 --> 0:41:27.920
<v Speaker 12>as CEO Andy Jasse visits India, where he's meeting with

0:41:27.960 --> 0:41:31.279
<v Speaker 12>Prime Minister in rand Remodi. With a new investment, Amazon's

0:41:31.320 --> 0:41:34.640
<v Speaker 12>total spending in India from twenty ten through twenty thirty

0:41:35.080 --> 0:41:37.879
<v Speaker 12>is expected to top eighty eight billion.

0:41:37.560 --> 0:41:41.880
<v Speaker 3>Dollars ed thank you, I Hira, two top AI researchers

0:41:42.080 --> 0:41:45.960
<v Speaker 3>leaving Google Foranthropic. These are just the latest departures in

0:41:46.000 --> 0:41:50.680
<v Speaker 3>recent days rattling Google's AI ambitions. Bloomberg's Google reported g

0:41:50.800 --> 0:41:53.960
<v Speaker 3>you Love broke the story and joins us with the details,

0:41:53.960 --> 0:41:57.640
<v Speaker 3>and the story was so impactful it was shared across industry.

0:41:57.920 --> 0:42:00.399
<v Speaker 3>Let's start with those kind of two key figures are

0:42:00.400 --> 0:42:03.000
<v Speaker 3>they and why it's being seen as such a blow

0:42:03.480 --> 0:42:04.840
<v Speaker 3>to Google's AI efforts?

0:42:06.040 --> 0:42:06.960
<v Speaker 2>Thank you, ed so.

0:42:07.880 --> 0:42:11.799
<v Speaker 13>The two senior researchers who are moving from Google to

0:42:11.960 --> 0:42:16.839
<v Speaker 13>Anthropic are Jonas Adler and Alexander Pritzel, and both were

0:42:16.920 --> 0:42:20.600
<v Speaker 13>viewed as key contributors to Gemini, which is Google's flagship

0:42:20.680 --> 0:42:21.600
<v Speaker 13>AI model.

0:42:21.320 --> 0:42:22.880
<v Speaker 2>And also highly regarded by their peers.

0:42:23.000 --> 0:42:25.759
<v Speaker 13>Absolutely, yes, yes, their peers were sad to see them go.

0:42:26.400 --> 0:42:30.320
<v Speaker 13>Jonas Adler was playing a key role in AI coding

0:42:30.880 --> 0:42:34.800
<v Speaker 13>and Alexander Pritzel was involved on the pre training side,

0:42:34.840 --> 0:42:37.880
<v Speaker 13>which is where models are kind of trained on large

0:42:38.080 --> 0:42:41.320
<v Speaker 13>quantities of data. And I think, especially following the news

0:42:41.400 --> 0:42:44.920
<v Speaker 13>last week of Nome Shazir moving to Open AI and

0:42:45.080 --> 0:42:48.520
<v Speaker 13>John Jumper, a Nobel laureate heading to anthropic. It has

0:42:48.560 --> 0:42:50.280
<v Speaker 13>sparked concerns about who else.

0:42:50.120 --> 0:42:51.200
<v Speaker 2>May be on the way out.

0:42:51.320 --> 0:42:53.560
<v Speaker 3>We've been talking about that on the show for that

0:42:53.680 --> 0:42:55.719
<v Speaker 3>extended period of time, right, and it's played out in

0:42:55.800 --> 0:42:58.920
<v Speaker 3>the stock you know, Alphabet, the parent of Google's shares

0:42:58.920 --> 0:42:59.840
<v Speaker 3>have been under pressure.

0:43:00.080 --> 0:43:01.160
<v Speaker 2>What's the bigger picture?

0:43:01.680 --> 0:43:04.080
<v Speaker 3>Like this is a mass wave of departures and so

0:43:04.719 --> 0:43:07.280
<v Speaker 3>Gemini is in trouble or is it not as severe

0:43:07.320 --> 0:43:07.560
<v Speaker 3>as that?

0:43:08.920 --> 0:43:12.759
<v Speaker 13>To be clear, those two departures, you know, the are

0:43:12.800 --> 0:43:15.680
<v Speaker 13>the only you know names that we've reported on beyond

0:43:16.160 --> 0:43:18.759
<v Speaker 13>John jenberin Norm Shazier. We're talking about a small number

0:43:18.840 --> 0:43:22.840
<v Speaker 13>of people. However, the AI talent pool in terms of

0:43:22.880 --> 0:43:24.959
<v Speaker 13>the number of people who really can move the needle

0:43:25.000 --> 0:43:29.680
<v Speaker 13>on these models is relatively small, and so individual moves,

0:43:30.160 --> 0:43:33.560
<v Speaker 13>you know, can matter. Noodle stresses, of course that his

0:43:33.680 --> 0:43:34.719
<v Speaker 13>bench of talent.

0:43:34.480 --> 0:43:35.080
<v Speaker 2>Is very deep.

0:43:35.239 --> 0:43:37.440
<v Speaker 3>Yes, thank you, and you know engage with us on

0:43:37.480 --> 0:43:40.160
<v Speaker 3>that story. It was a very detailed report. Is there

0:43:40.160 --> 0:43:42.640
<v Speaker 3>anything else in there that we haven't gotzi that you

0:43:42.680 --> 0:43:44.280
<v Speaker 3>think you know, the world needs to know about.

0:43:44.600 --> 0:43:47.960
<v Speaker 13>We got a little bit more color about what happened

0:43:48.000 --> 0:43:52.360
<v Speaker 13>around the time of Nome Shazier's departure. Computing power is

0:43:52.440 --> 0:43:55.279
<v Speaker 13>a precious resource in Goodle. They have a lot of

0:43:55.320 --> 0:43:57.520
<v Speaker 13>computing power, but they also have a lot of mouths

0:43:57.520 --> 0:44:01.719
<v Speaker 13>to feed with cloud clients research their popular products. And

0:44:01.800 --> 0:44:06.080
<v Speaker 13>so we learned that shortly before Nom Shazir announced his departure,

0:44:06.880 --> 0:44:10.280
<v Speaker 13>the computing power for one of his projects was shifted

0:44:10.680 --> 0:44:14.919
<v Speaker 13>to a larger pre training team in London. It seems

0:44:14.960 --> 0:44:19.520
<v Speaker 13>it was an attempt to boost collaboration, but we're still

0:44:19.520 --> 0:44:22.400
<v Speaker 13>piecing each other. But compute can be very political within Goodle.

0:44:22.719 --> 0:44:25.480
<v Speaker 3>Bloomberg Studio Love who broke a big story. I highly

0:44:25.480 --> 0:44:27.400
<v Speaker 3>recommend you go and read it. So that does it

0:44:27.440 --> 0:44:30.280
<v Speaker 3>for this edition of Bloomberg Tech. This is what markets

0:44:30.320 --> 0:44:32.359
<v Speaker 3>look like. Those are the stories. And as that one

0:44:32.440 --> 0:44:37.800
<v Speaker 3>hundred modestly higher micron the most severely bullish outlook for

0:44:37.920 --> 0:44:41.400
<v Speaker 3>memory in a supply constrained environment and price is high,

0:44:41.520 --> 0:44:45.239
<v Speaker 3>and then Apple raising prices on some hardware because of

0:44:45.280 --> 0:44:49.279
<v Speaker 3>that memory situation. Also recap the qualcom CEO conversation on

0:44:49.320 --> 0:44:51.400
<v Speaker 3>the pod. You know where to find it. This is

0:44:51.400 --> 0:44:52.160
<v Speaker 3>Bloomberg Tech