WEBVTT - Palantir's Strong Commercial Demand, Palo Alto Doubles Down on Cyber Defense

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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 Lamow in

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<v Speaker 1>Ben Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up. Pallenteer calls Commercial Demand Otherworldly,

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<v Speaker 2>will break down the data and AI company's blockbuster earnings results.

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<v Speaker 2>Plus Apple exceeds ten billion dollars in annual sales in

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<v Speaker 2>India for the first time last fiscal year. We'll discuss

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<v Speaker 2>what's driving searching demand for its devices in that market.

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<v Speaker 2>And Palo Alto Network CEO nicuesh Aura joins us to

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<v Speaker 2>discuss the next generation of AI powered cyber defense. It's

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<v Speaker 2>seeing stocks at all time highs and its technology that's

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<v Speaker 2>leading the way. Then, as that one hundred up for

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<v Speaker 2>a four straight session, matching its run from the first

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<v Speaker 2>week of June, and the S and P five hundred

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<v Speaker 2>is at all time highs. There is a big technology

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<v Speaker 2>earning story driving that and that is Palenteer. Today's big

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<v Speaker 2>number three hundred and eighty zero point one billion dollars.

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<v Speaker 2>That's the market capit Palenteer right now. This is a

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<v Speaker 2>big gain in the stock. The shares up twenty five

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<v Speaker 2>percent or so, on track for their best day since

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<v Speaker 2>February twenty twenty four, best day since February twenty twenty four.

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<v Speaker 2>These are the key numbers, and it's the US commercial

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<v Speaker 2>business that's really driving me. At US commercial sales came

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<v Speaker 2>in seven hundred and sixty four million dollars, up almost

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<v Speaker 2>one hundred and fifty percent year to date. Overall, US

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<v Speaker 2>revenues strong, and the big takeaway is the outlook for

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<v Speaker 2>the year. They're saying that sales will be eight point

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<v Speaker 2>one five to eight point one six billion dollars. That's

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<v Speaker 2>a few hundred million dollars even at the low end

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<v Speaker 2>of the range, beyond the streets expectation. What's the biggest story.

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<v Speaker 2>Let's stick with Palentage joining US now. Marianna Perez mora

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<v Speaker 2>Bank of America Securities Aerospace and Defense analyst reiterates a

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<v Speaker 2>buy on the stock with a price target of two

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<v Speaker 2>hundred and fifty five dollars a share. What's so interesting

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<v Speaker 2>is the US commercial business is partly being reflected right now,

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<v Speaker 2>but actually if you look at some of the bigger

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<v Speaker 2>contracts that they secured, they don't call it a backlog,

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<v Speaker 2>but there is a long way to go, and there's

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<v Speaker 2>a big opportunity, and I was reading your note that's

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<v Speaker 2>why you've upgraded a lot of your estimates.

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<v Speaker 3>Yes, the US commercial strength is just a result of

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<v Speaker 3>what we have been discussing in the past. Planteers position

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<v Speaker 3>at the right place at the right timing to benefit

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<v Speaker 3>from actually being able to operationalize all the SAI momentum

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<v Speaker 3>and all the DCI demand, and US is actually embracing

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<v Speaker 3>that with the size of the contracts they are seeing.

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<v Speaker 3>It's also very, very amazing if you look at the

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<v Speaker 3>trailing twelve month average spending per US customer that is

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<v Speaker 3>had like sixty seven percent. And it's not just new

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<v Speaker 3>customers that are run being faster, but also legacy customers

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<v Speaker 3>that have been using this orchestration or ontology for a

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<v Speaker 3>while that are ambitious and they want to actually keep

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<v Speaker 3>incorporating the benefits of AI into their businesses.

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<v Speaker 4>Right.

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<v Speaker 2>I always remind myself, what does Palenteer do. Palenteer makes

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<v Speaker 2>AI powered software that helps companies and governments either analyze

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<v Speaker 2>their data, or make decisions on their data, or automate

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<v Speaker 2>data related processes.

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<v Speaker 5>Rights simple as that.

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<v Speaker 2>But the takeaway and the story that Alex carbon Palenter

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<v Speaker 2>want to tell is owning the means of production in

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<v Speaker 2>the AI context. Are they showing evidence that they're helping

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<v Speaker 2>customers do that.

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<v Speaker 6>Well?

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<v Speaker 3>Actually, when you admit at their conferences with customers, customers

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<v Speaker 3>are really happy about it, and the reality.

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<v Speaker 4>Is that they have tried.

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<v Speaker 3>They have tried to just implement it themselves, and it's

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<v Speaker 3>not that easy. Punter has been orchestration not only this

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<v Speaker 3>data analytics platform, but how the decision maken actually work

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<v Speaker 3>with that and all these human interaction with AI. It's

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<v Speaker 3>really hard to have that digitalize and Plenteer has been

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<v Speaker 3>doing that for decades. So customers are happy about it,

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<v Speaker 3>and customers are actually leaning into that opportunity.

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<v Speaker 2>Palent is US growth one hundred and fifteen percent, it's

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<v Speaker 2>international revenues growing at thirty three percent. But Europe is

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<v Speaker 2>a story there right. Europe's much slower, and Palenteer continues

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<v Speaker 2>to kind of express open frustration about that what's gone

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<v Speaker 2>on in that market.

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<v Speaker 3>I think what happened in Europe particularly, I'm going to

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<v Speaker 3>speak about what we do. We are volunteer from the

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<v Speaker 3>erspace and defense industry, and we're seeing that a lot

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<v Speaker 3>post in Ukraine. There is this urge for European countries

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<v Speaker 3>to don't depend that much on US technologists. They don't

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<v Speaker 3>need to like they need to actually have domestic solutions.

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<v Speaker 4>So is the two phases.

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<v Speaker 3>Of sovereignty in my way, that is like actually shopping

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<v Speaker 3>Polunteer in the middle, because while Volunteer actually gives a

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<v Speaker 3>really good sovereign AI platform for you to own your IP,

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<v Speaker 3>for you to be able to benefit from both like

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<v Speaker 3>open models and frontier models and actually have like all

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<v Speaker 3>those learnings for yourself and proprietary data on the area

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<v Speaker 3>that end of sovereignty. They are a really outspoken American company,

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<v Speaker 3>So that's part of the noise.

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<v Speaker 2>And Marianne, you talk about part of Palente's secret sauce

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<v Speaker 2>being how they price. They price that they're offering on

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<v Speaker 2>measurable outcomes, in other words, like here's what we actually

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<v Speaker 2>did for you, Now pay us this. How unique is

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<v Speaker 2>that in this space.

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<v Speaker 3>I think that's starting to be more popular and the

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<v Speaker 3>FD and the ontologies are also getting more popular on

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<v Speaker 3>others software companies approach and go to market strategy. The

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<v Speaker 3>difference is Volunteer actually partners with their customers. They care

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<v Speaker 3>about their problems, they care about their mission, and this

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<v Speaker 3>is how they price their outcomes and they price their solutions,

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<v Speaker 3>and this is why they are able to have well

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<v Speaker 3>like fifty five percent cash margins, because as they produce

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<v Speaker 3>profits for their customers, they can also produce them for themselves.

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<v Speaker 5>Just real quick.

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<v Speaker 2>Ontology is basically the digital model of how a company's

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<v Speaker 2>business works in the real world, really really quick. Your

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<v Speaker 2>price target is two five to five, it's about one

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<v Speaker 2>hundred dollars to go. This is a turning point for them.

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<v Speaker 3>I do think Poluntary is growing into that valuation. It's

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<v Speaker 3>still like down versus last November picks, and if you

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<v Speaker 3>look at the estimates, it continued to actually execute not

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<v Speaker 3>only like with expectations, but even faster than I expected.

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<v Speaker 3>So I think that boats like more than the market

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<v Speaker 3>de rating on general de rating and also AI themes

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<v Speaker 3>is outgrowing.

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<v Speaker 2>Dad, Marianna Perez Mora of Bank of America Securities.

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<v Speaker 5>Great to have you back on the show. Thank you

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<v Speaker 5>very much.

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<v Speaker 2>The two other companies we have our eyes on in

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<v Speaker 2>the earnings context, Snap and Spotify. Snaps up fifteen percent

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<v Speaker 2>and in their case strong sales projection for a company

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<v Speaker 2>that over the run of this ballmarket has not performed well.

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<v Speaker 2>They see revenue jumping twenty percent almost to one point

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<v Speaker 2>six billion dollars in the quarter. Of course, everyone's kind

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<v Speaker 2>of treading water a little bit for the launch of

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<v Speaker 2>the ar glasses and the debut Spotify another stock that

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<v Speaker 2>we're watching in the earnings context. So users climbed to

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<v Speaker 2>seven hundred and seventy seven million in the second quarter.

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<v Speaker 2>But basically there's five million of you out there somewhere

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<v Speaker 2>in the world that are not active users of Spotify,

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<v Speaker 2>and Wall Street thinks that you should be, and so

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<v Speaker 2>the stock's up three percent, But there's a little daylight

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<v Speaker 2>between what Spotify is posting in terms of its user

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<v Speaker 2>base and what the street thinks it should be hitting. Nevertheless,

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<v Speaker 2>the stuff is higher now coming up needs continue. Grab,

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<v Speaker 2>the leading Southeast Asian super app, reported its second quarter

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<v Speaker 2>earnings yesterday and grabs chief financial officer Peter Owe joins

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<v Speaker 2>US next Sisplinberg Tech. Grab released its second quarter earnings

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<v Speaker 2>yesterday after the closing bell. The Southeast Asian super app

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<v Speaker 2>boosted its annual earnings and sales forecasts thanks to robust

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<v Speaker 2>ride and delivery demand in the region. And here's how

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<v Speaker 2>shares currently going three percent on the US listed ADRs,

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<v Speaker 2>joining US is grab's chief financial officer, Peter Oue. Let's

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<v Speaker 2>start with the like the demand story, you're you're basically

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<v Speaker 2>pretty confident about about the state of that demand picture

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<v Speaker 2>on ride and delivery.

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<v Speaker 5>My curiosity is around.

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<v Speaker 2>Like how recent a change that trajectory is, Like what's

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<v Speaker 2>happened short term versus what you're already seeing longer term?

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<v Speaker 4>Sure, yeah, it actually been relliant.

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<v Speaker 7>Interesting was this momentum that we're seeing actually started well

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<v Speaker 7>in the beginning of the year, and when we entered

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<v Speaker 7>the second quarter, especially in the March period we were

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<v Speaker 7>exiting Q one with the fuel crisis and the war happening,

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<v Speaker 7>we were actually revisiting our situation what was going to

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<v Speaker 7>happen in the second quarter. Given Southeast Asia, we were

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<v Speaker 7>the hardest impact that with fuel prices, but we didn't

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<v Speaker 7>actually see the play out. Even the fuel prices went up.

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<v Speaker 7>We leaned in fairly hard in supporting the driver community.

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<v Speaker 7>We supplied We also leandian in helping the consumers with

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<v Speaker 7>affordable rides, and.

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<v Speaker 4>What we actually saw was completely the opposite.

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<v Speaker 7>Actually, we saw our rides grow at twenty eight percent

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<v Speaker 7>on a year of a year basis, one of the

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<v Speaker 7>highest that we've seen, and we saw our on demand

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<v Speaker 7>business both on food and delivery also on demand GMB

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<v Speaker 7>grew a twenty one percent.

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<v Speaker 4>So it was a very robust, very resilient.

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<v Speaker 7>Asian economy despite some of the challenges we had macro

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<v Speaker 7>here in Southeast Asia. But also we also saw the

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<v Speaker 7>marketplace very healthy at the same time and driving the

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<v Speaker 7>profitability in the business.

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<v Speaker 2>Peter the top of the Bloomberg Tech story on grad

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<v Speaker 2>talks about the Southeast Asian commuter. What do those transactions

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<v Speaker 2>look like for you in the period, Like what kinds

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<v Speaker 2>of trips are these? Are they from the cfo's perspective,

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<v Speaker 2>the kinds of transactions that you want to see driving

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<v Speaker 2>top line.

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<v Speaker 7>Yeah, it was actually a very balance the way we

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<v Speaker 7>saw it. We saw the domestic commute still very strong,

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<v Speaker 7>both in two wheels and four wheels. The rides were

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<v Speaker 7>up twenty eight percent, which is very strong for us.

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<v Speaker 7>We saw a lot of the one out of four

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<v Speaker 7>new users coming into what we call the Saber program,

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<v Speaker 7>which is more affordable rides, but we also saw the

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<v Speaker 7>premium rides also were up ninety percent on the quarter

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<v Speaker 7>on quarterbasis. So it's a really well balanced portfolio all

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<v Speaker 7>across the many cities that we're in here today, and

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<v Speaker 7>I think that really speaks just the broad range that

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<v Speaker 7>we have in terms of pricing capacity for our user base.

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<v Speaker 7>They can enter through more of an affordable rights or

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<v Speaker 7>more the premium rights at their choice, despite also some

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<v Speaker 7>of the macros that we we're seeing in Southeast Asia now.

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<v Speaker 7>Also if you look at food delivery, very very similar

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<v Speaker 7>also that we saw, we saw a verial balanced portfolio

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<v Speaker 7>between what our saber and also's priority delivery.

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<v Speaker 2>Also on the technology side, you have AI powered concierge

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<v Speaker 2>and you've introduced the ability to split the fare if

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<v Speaker 2>you're riding with friends. The big question is did that

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<v Speaker 2>bring new users to the platforms? Is there anything tangible there?

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<v Speaker 7>Yeah, Well, we introduced these new product group rights where

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<v Speaker 7>you can share your right with friends split the bill effectively.

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<v Speaker 7>We had it actually in a food delivery business and

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<v Speaker 7>we reported across through our rights and actually that really

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<v Speaker 7>helped some of the affordability as friends we're just grouping

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<v Speaker 7>right on the way home, are going to work or

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<v Speaker 7>going to a party, etc. And that really also helped

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<v Speaker 7>the affordable rights part of our business. And that's great,

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<v Speaker 7>But also at the same time, our Airport rights also

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<v Speaker 7>was also very strong in the quarter is despite some

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<v Speaker 7>of those traveler impacted from cancel flights coming out of

0:12:23.280 --> 0:12:26.480
<v Speaker 7>the Middle East. So it's a very very strong que too,

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<v Speaker 7>despite some of these challenges.

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<v Speaker 2>Peter, just to end the food delivery business in Southeast

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<v Speaker 2>Asia is as face right in terms of competition. There

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<v Speaker 2>are the existing players, your new entrants coming. What is

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<v Speaker 2>your plan to kind of keep ahead there.

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<v Speaker 7>On the tech side, we're going to get you a

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<v Speaker 7>double down ed on technology and also featuring a lot

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<v Speaker 7>of the new products around AI capability. One of the

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<v Speaker 7>things we are focusing on is on grocery delivery. And

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<v Speaker 7>if you look at our GRABMRD branding portfolio, which is

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<v Speaker 7>really non fret delivery that really grew at fifty four

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<v Speaker 7>percent just from the number of transactions actually was growing

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<v Speaker 7>one point seven times faster than oour food So consumers

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<v Speaker 7>are really starting to embrace grocery delivery in Southeast Asia.

0:13:14.280 --> 0:13:16.800
<v Speaker 7>Here still very early, very nation, but yet we are

0:13:16.800 --> 0:13:19.000
<v Speaker 7>seeing really good momentum, good traction there.

0:13:20.679 --> 0:13:23.520
<v Speaker 2>Grabs c FO Peter Owey back on the show, Thank

0:13:23.520 --> 0:13:26.360
<v Speaker 2>you very much indeed for your time. Another tech top

0:13:26.440 --> 0:13:30.240
<v Speaker 2>story for the first time, Apple exceeded ten billion dollars

0:13:30.240 --> 0:13:34.199
<v Speaker 2>in sales in India, underscoring a widening retail push. Bloomberg's

0:13:34.240 --> 0:13:37.640
<v Speaker 2>Dana Wolman joins us with the details. What's within this

0:13:37.760 --> 0:13:38.559
<v Speaker 2>ten billion dollars?

0:13:38.640 --> 0:13:38.760
<v Speaker 4>Right?

0:13:38.800 --> 0:13:41.560
<v Speaker 2>For a long time, we've been tracking Apple's traction in

0:13:41.600 --> 0:13:44.120
<v Speaker 2>that market. It's a very different economy to others that

0:13:44.160 --> 0:13:45.600
<v Speaker 2>Apple prioritizes.

0:13:45.920 --> 0:13:47.160
<v Speaker 5>Give us all the info we need.

0:13:47.760 --> 0:13:49.880
<v Speaker 8>So in these numbers, which I should say, we're previously

0:13:49.960 --> 0:13:54.720
<v Speaker 8>unreported before Bloomberg reported them, it was the iPhone iPhone

0:13:54.720 --> 0:13:58.120
<v Speaker 8>products that were leading those sales. It turned out that

0:13:58.160 --> 0:14:00.800
<v Speaker 8>MacBooks and iPads were up to but really the iPhone,

0:14:00.800 --> 0:14:02.640
<v Speaker 8>which is of course with the companies most known for,

0:14:03.480 --> 0:14:05.920
<v Speaker 8>was leading that sales. Search up from nine billion in

0:14:05.960 --> 0:14:06.959
<v Speaker 8>the prior fiscal year.

0:14:08.600 --> 0:14:11.400
<v Speaker 2>There's another big report from Bloomberg on Apple, and that

0:14:11.559 --> 0:14:15.120
<v Speaker 2>is that CEO John turnas well CEO as of September

0:14:15.160 --> 0:14:21.240
<v Speaker 2>first incoming CEO has brought in some talent, a leader

0:14:21.320 --> 0:14:24.480
<v Speaker 2>for the management team. But it's somebody that had left

0:14:24.480 --> 0:14:26.560
<v Speaker 2>that had retired. Who are we talking about.

0:14:26.760 --> 0:14:30.200
<v Speaker 8>Yes, so Laura Ligross, who was his lieutenant previously when

0:14:30.240 --> 0:14:33.040
<v Speaker 8>he ran hardware engineering. She was a vice president at

0:14:33.040 --> 0:14:35.320
<v Speaker 8>that level, and it is unusual for Apple to bring

0:14:35.360 --> 0:14:39.120
<v Speaker 8>back retired executives, but it will probably serve John turn

0:14:39.160 --> 0:14:41.640
<v Speaker 8>as well as he settles into this new role, to

0:14:41.920 --> 0:14:46.560
<v Speaker 8>reach towards someone who was so loyal and reliable in

0:14:46.600 --> 0:14:50.120
<v Speaker 8>his previous post. And we don't know too much about

0:14:50.120 --> 0:14:52.040
<v Speaker 8>what she will be doing. She will here too, be

0:14:52.080 --> 0:14:54.160
<v Speaker 8>a vice president, and we know that she'll be working

0:14:54.360 --> 0:14:59.520
<v Speaker 8>in what is essentially across functional, cross disciplinary function, but

0:14:59.560 --> 0:15:03.040
<v Speaker 8>it will go on just beyond her previous realm of

0:15:03.200 --> 0:15:04.200
<v Speaker 8>hardware engineering.

0:15:05.240 --> 0:15:08.440
<v Speaker 2>And I think most people around the world of technology

0:15:08.440 --> 0:15:11.440
<v Speaker 2>will know this. But remind us what is happening on

0:15:11.480 --> 0:15:14.320
<v Speaker 2>September First, the big change in leadership at Apple.

0:15:14.760 --> 0:15:17.160
<v Speaker 8>So Tim Cook is stepping aside, not from the company,

0:15:17.200 --> 0:15:19.480
<v Speaker 8>but he will hand over the rains of CEO and

0:15:19.520 --> 0:15:22.000
<v Speaker 8>he will become executive chairman, where he will focus more

0:15:22.040 --> 0:15:26.760
<v Speaker 8>on things like high level geopolitical relationships with foreign leaders,

0:15:26.760 --> 0:15:29.080
<v Speaker 8>and that will leave the running of the company itself,

0:15:29.120 --> 0:15:31.280
<v Speaker 8>the core business, to mister Turners.

0:15:32.520 --> 0:15:35.200
<v Speaker 2>Then mixt day, a woman who is our consumer technology

0:15:35.320 --> 0:15:38.000
<v Speaker 2>editor at Bloomberg Tech, thank you very much.

0:15:38.120 --> 0:15:39.520
<v Speaker 5>Indeed, let's stay with Apple.

0:15:40.040 --> 0:15:44.040
<v Speaker 2>The company briefly removed the telegram messaging app from its

0:15:44.040 --> 0:15:49.160
<v Speaker 2>app store after finding content that violated a ban on

0:15:49.280 --> 0:15:53.400
<v Speaker 2>child sexual abuse material. An Apple spokesperson said Telegram was

0:15:53.440 --> 0:15:57.600
<v Speaker 2>restored quote after the developer promptly removed the content and

0:15:57.720 --> 0:16:01.120
<v Speaker 2>banned the user who posted it. This year alone, Telegram

0:16:01.120 --> 0:16:04.040
<v Speaker 2>said it removed more than three hundred thousand groups and

0:16:04.160 --> 0:16:10.360
<v Speaker 2>channels related to such materials coming up. China's concerns are

0:16:10.400 --> 0:16:14.520
<v Speaker 2>shifting to America's frontier AI models. What it could mean

0:16:15.240 --> 0:16:30.440
<v Speaker 2>for US and China relations. This is Bloomberg Tech. Let's

0:16:30.440 --> 0:16:32.520
<v Speaker 2>go over to New York now where Bloomberg's You Hire

0:16:32.600 --> 0:16:33.600
<v Speaker 2>and End is standing by.

0:16:33.680 --> 0:16:34.600
<v Speaker 5>You hire it, take it away.

0:16:34.880 --> 0:16:35.440
<v Speaker 4>Thanks Ed.

0:16:35.680 --> 0:16:38.680
<v Speaker 9>It's time now for talking tech. First up, prediction markets

0:16:38.720 --> 0:16:42.800
<v Speaker 9>platform Polymarket is looking for capital out evaluation topping twenty

0:16:42.920 --> 0:16:46.600
<v Speaker 9>billion dollars. According to sources, Polymarket is in talks with

0:16:46.680 --> 0:16:50.120
<v Speaker 9>prospective investors to raise one billion. The move comes just

0:16:50.360 --> 0:16:54.040
<v Speaker 9>months after Polymarket closed an earlier round with investments from

0:16:54.080 --> 0:16:58.680
<v Speaker 9>Heag Fund, d Shaw and Co. Unders underscoring the rapid

0:16:58.760 --> 0:17:02.800
<v Speaker 9>growth of the prediction market its industry, plus Anthropics struck

0:17:02.800 --> 0:17:06.679
<v Speaker 9>a ten billion dollars dear for computing capacity with cloud

0:17:06.760 --> 0:17:11.440
<v Speaker 9>startup Volta infoholdings. According to sources, Volta is a month's

0:17:11.480 --> 0:17:15.119
<v Speaker 9>old infrastructure startup backed by Nvidia and founded by former

0:17:15.240 --> 0:17:19.480
<v Speaker 9>executives from Brookfield's Asset Management. The deal will provide Anthropic

0:17:19.560 --> 0:17:23.520
<v Speaker 9>with computing resources from a data center in Norway managed

0:17:23.560 --> 0:17:27.920
<v Speaker 9>by Volta, and Reuter's reporting that the FCC is drafting

0:17:27.920 --> 0:17:31.359
<v Speaker 9>a ban on imports of some Chinese data center components

0:17:31.440 --> 0:17:35.919
<v Speaker 9>to protect the US industry's infrastructure. The proposed ban on components,

0:17:35.960 --> 0:17:39.639
<v Speaker 9>which hyperscalers, of course heavily rely on to run and

0:17:39.680 --> 0:17:43.480
<v Speaker 9>train AI programs, is aimed at preventing Chinese firms from

0:17:43.520 --> 0:17:47.600
<v Speaker 9>installing malware or stealing data critical to the AI boom

0:17:47.880 --> 0:17:49.240
<v Speaker 9>ed Thank.

0:17:49.119 --> 0:17:49.720
<v Speaker 5>You, Yahira.

0:17:49.840 --> 0:17:53.200
<v Speaker 2>The US China tech rivalry is moving beyond chips. According

0:17:53.240 --> 0:17:57.680
<v Speaker 2>to sources, Officials in Beijing are growing increasingly concerned about

0:17:57.680 --> 0:18:01.560
<v Speaker 2>Anthropics frontier AI models, all ahead of a planned September

0:18:01.600 --> 0:18:05.400
<v Speaker 2>meeting between President Trump and China's Hujingping. Bloombag Senior Tech

0:18:05.480 --> 0:18:08.720
<v Speaker 2>editor Mike Shepherd joins with the latest I mean, the

0:18:08.760 --> 0:18:10.879
<v Speaker 2>direction of travel on this story is slightly different to

0:18:10.880 --> 0:18:13.320
<v Speaker 2>those we've been covering in recent weeks and months, but

0:18:13.359 --> 0:18:17.800
<v Speaker 2>this is China being worried about the leading US frontier

0:18:17.880 --> 0:18:18.920
<v Speaker 2>labs and their models.

0:18:20.160 --> 0:18:23.080
<v Speaker 10>Well, that's right, and what we are seeing is almost

0:18:23.119 --> 0:18:26.400
<v Speaker 10>the other side of the coin. Some of the arguments

0:18:26.400 --> 0:18:30.080
<v Speaker 10>that officials in Beijing are raising really echoes some of

0:18:30.119 --> 0:18:32.800
<v Speaker 10>the arguments that we've heard in previous years from US

0:18:32.840 --> 0:18:36.400
<v Speaker 10>officials and when they've complained about certain tech products, including

0:18:36.520 --> 0:18:39.919
<v Speaker 10>TikTok for example, and the national security risks that they

0:18:40.040 --> 0:18:44.960
<v Speaker 10>pose through data collection and other means of sharing information

0:18:45.200 --> 0:18:48.440
<v Speaker 10>with an adversarial government. In this case, the concern from

0:18:48.520 --> 0:18:52.960
<v Speaker 10>Chinese officials is that Anthropics Mythos and other powerful AI

0:18:53.119 --> 0:18:57.320
<v Speaker 10>models could be used as offensive weapons against their economy

0:18:57.400 --> 0:19:00.720
<v Speaker 10>in some fashion, and they didn't offer any specifics, but

0:19:00.920 --> 0:19:03.320
<v Speaker 10>this is an issue that will be on the table

0:19:03.440 --> 0:19:06.480
<v Speaker 10>very clearly. They have some misgivings over it not having

0:19:06.600 --> 0:19:09.520
<v Speaker 10>access to this model, but those are concerns that were

0:19:09.560 --> 0:19:12.399
<v Speaker 10>shared by a number of US allies in the weeks

0:19:12.440 --> 0:19:16.639
<v Speaker 10>and months after Anthropic made that disclosure that it's Mythos

0:19:16.680 --> 0:19:19.960
<v Speaker 10>system in April was so powerful that it could only

0:19:20.000 --> 0:19:24.240
<v Speaker 10>be shared with a small handful of trusted partners, and

0:19:24.640 --> 0:19:27.520
<v Speaker 10>access has since been expanded, but it's still remained small

0:19:27.840 --> 0:19:29.959
<v Speaker 10>and it has continued.

0:19:29.320 --> 0:19:30.640
<v Speaker 4>To be denied to China.

0:19:30.760 --> 0:19:33.639
<v Speaker 2>Of course, if you go back to when President Trump

0:19:33.760 --> 0:19:38.320
<v Speaker 2>visited China, you know, the hope of America's chip industry

0:19:38.880 --> 0:19:40.719
<v Speaker 2>was that he would get some result for them so

0:19:40.720 --> 0:19:43.879
<v Speaker 2>that they could more freely export lead edge chips to China.

0:19:44.520 --> 0:19:47.560
<v Speaker 2>The America's concern on the chips has been, well, we

0:19:47.560 --> 0:19:50.920
<v Speaker 2>don't want China's military to have access to that technology

0:19:51.680 --> 0:19:53.840
<v Speaker 2>that will help them in their own national interest or

0:19:53.840 --> 0:19:56.919
<v Speaker 2>in their own national security context. What was the net

0:19:57.000 --> 0:19:59.359
<v Speaker 2>result of any of that? Was it discussed in China?

0:19:59.400 --> 0:20:02.760
<v Speaker 2>Will these topics be discussed in September here in the States.

0:20:03.680 --> 0:20:06.320
<v Speaker 10>Well, there will be a meeting ahead of whatever sum

0:20:06.320 --> 0:20:11.080
<v Speaker 10>it takes place between President Donald Trump and his Chinese counterpart, Shijianping,

0:20:11.600 --> 0:20:15.280
<v Speaker 10>and at that the lower level officials, probably cabinet level

0:20:15.359 --> 0:20:18.840
<v Speaker 10>for the US, likely Treasury Secretary Scott Besson, who has

0:20:18.880 --> 0:20:22.479
<v Speaker 10>taken an increasingly point position when it comes to matters

0:20:22.480 --> 0:20:27.760
<v Speaker 10>of artificial intelligence and negotiations more broadly with China. They

0:20:27.800 --> 0:20:30.879
<v Speaker 10>will discuss some of these parameters before the two leaders

0:20:30.920 --> 0:20:34.520
<v Speaker 10>actually sit down here in Washington, and the concerns will

0:20:34.520 --> 0:20:36.920
<v Speaker 10>all be on the table. It will be everything related

0:20:37.280 --> 0:20:40.480
<v Speaker 10>to AI including the chip curbs that the US has

0:20:40.560 --> 0:20:43.760
<v Speaker 10>gradually been easing, but perhaps not to the extent that

0:20:43.880 --> 0:20:46.720
<v Speaker 10>China would want. While the US is allowing sales of

0:20:46.840 --> 0:20:50.520
<v Speaker 10>Nvidia's H two hundreds, for example, to Chinese customers, China

0:20:50.600 --> 0:20:52.520
<v Speaker 10>so far really has not given the green light in

0:20:52.560 --> 0:20:56.639
<v Speaker 10>the other direction for those purchases, so we will see

0:20:56.680 --> 0:20:59.399
<v Speaker 10>some questions raised there. There will also be questions about

0:20:59.560 --> 0:21:04.960
<v Speaker 10>whether Chinese AI companies themselves are engaging in unfair practices. Anthropic,

0:21:05.240 --> 0:21:08.360
<v Speaker 10>for example, has accused Ali Baba, one of China's biggest

0:21:08.400 --> 0:21:11.840
<v Speaker 10>tech companies, of using a process known as distillation, to

0:21:12.040 --> 0:21:16.440
<v Speaker 10>unfairly gain advantage and essentially copy some of their models.

0:21:16.480 --> 0:21:18.880
<v Speaker 10>And of course it's important to note that in singling

0:21:18.920 --> 0:21:22.000
<v Speaker 10>out Anthropic ed, China is pointing to a company that

0:21:22.119 --> 0:21:25.600
<v Speaker 10>does not do business in China, mainly because the CEO,

0:21:25.760 --> 0:21:29.200
<v Speaker 10>Dario Amide has singled out China as a US adversary

0:21:29.240 --> 0:21:32.119
<v Speaker 10>and a threat to national security. So all of this

0:21:32.240 --> 0:21:35.119
<v Speaker 10>dynamic will be on the table as the two sides

0:21:35.200 --> 0:21:39.400
<v Speaker 10>meet before the even before the leaders sit down, we'll

0:21:39.440 --> 0:21:43.000
<v Speaker 10>be wanting to see how they actually negotiate a lot

0:21:43.040 --> 0:21:46.119
<v Speaker 10>of these intense differences over the way Chinese models have

0:21:46.200 --> 0:21:49.200
<v Speaker 10>been developed, and also some of the export and other

0:21:49.320 --> 0:21:52.880
<v Speaker 10>curbs in place, including our rare earthsbanks.

0:21:52.920 --> 0:21:54.560
<v Speaker 5>Mike Sheppard, thank you very much.

0:21:55.080 --> 0:21:56.919
<v Speaker 2>Coming up, we're going to get back to Wall Street's

0:21:57.000 --> 0:22:03.160
<v Speaker 2>expectations for this week's big earnings AMD both coming after

0:22:03.200 --> 0:22:05.600
<v Speaker 2>the bell. Let's go back to Palente, the tech earning

0:22:05.720 --> 0:22:08.480
<v Speaker 2>story of the morning. The stock up twenty seven percent,

0:22:08.880 --> 0:22:11.960
<v Speaker 2>on track for its biggest jump, its best day since

0:22:12.000 --> 0:22:15.680
<v Speaker 2>February of twenty twenty four, three hundred and eighty billion

0:22:15.720 --> 0:22:20.160
<v Speaker 2>dollars now in market. Clap, big rays in sales and

0:22:20.359 --> 0:22:24.000
<v Speaker 2>net income expectations for this year, and it's the US

0:22:24.080 --> 0:22:29.240
<v Speaker 2>commercial business that's driving absolutely all of it. Okay, it's

0:22:29.240 --> 0:22:33.199
<v Speaker 2>halftime here in the beautiful city of San Francisco and

0:22:33.240 --> 0:22:36.359
<v Speaker 2>the Bay Area. Don't go far. This is Bloomberg Tech.

0:22:46.400 --> 0:22:48.919
<v Speaker 2>Welcome back to Bloomberg Tech. There is some momentum in

0:22:48.920 --> 0:22:50.959
<v Speaker 2>technology I'm looking at and as that one hundred up

0:22:50.960 --> 0:22:54.320
<v Speaker 2>for a four straight session, matching the run of gains

0:22:54.320 --> 0:22:57.320
<v Speaker 2>that it saw in that first week of June, two

0:22:57.400 --> 0:22:59.359
<v Speaker 2>point six percent gain. And then as that one hundred,

0:22:59.400 --> 0:23:02.240
<v Speaker 2>a big driver of that is Palented, literally the biggest

0:23:02.240 --> 0:23:05.760
<v Speaker 2>points driver to the upside post earnings, Talenteer itself having

0:23:05.800 --> 0:23:08.320
<v Speaker 2>its best day since February twenty twenty four. The S

0:23:08.320 --> 0:23:10.080
<v Speaker 2>and P five hundred, by the way, is at all

0:23:10.119 --> 0:23:13.959
<v Speaker 2>time highs and technology is a big part of that story.

0:23:14.000 --> 0:23:17.920
<v Speaker 2>But earnings continue chips and rockets. It's get to bloomboat

0:23:17.920 --> 0:23:21.040
<v Speaker 2>tech equity reporter Carmen Rhinikey in New York with whatught

0:23:21.040 --> 0:23:21.880
<v Speaker 2>to expec lated today?

0:23:21.960 --> 0:23:25.040
<v Speaker 11>Hi, common hey, ed, So it's the moment we've all

0:23:25.080 --> 0:23:28.399
<v Speaker 11>been waiting for since June. At least SpaceX will report

0:23:28.440 --> 0:23:31.800
<v Speaker 11>its first quarterly earnings as a public public company after

0:23:31.880 --> 0:23:34.040
<v Speaker 11>the bell today, So we know the stock is down

0:23:34.080 --> 0:23:36.480
<v Speaker 11>from that one thirty five IPO price is about ten

0:23:36.520 --> 0:23:38.760
<v Speaker 11>percent below, even though there's some green on the screen

0:23:38.800 --> 0:23:41.960
<v Speaker 11>here today. And so what we'll really be watching for

0:23:42.160 --> 0:23:45.040
<v Speaker 11>after the bell today is what the company says, not

0:23:45.080 --> 0:23:47.200
<v Speaker 11>only about what it saw in the quarter, but it's

0:23:47.320 --> 0:23:51.760
<v Speaker 11>forward guidance. So much of SpaceX's valuation hinges on what

0:23:51.840 --> 0:23:54.439
<v Speaker 11>it sees in the future. One thing we'll be watching for,

0:23:54.560 --> 0:23:58.320
<v Speaker 11>in particular is what it says about AI. Analysts on

0:23:58.400 --> 0:24:02.120
<v Speaker 11>Wall Street have rejected huge growth for its AI unit

0:24:02.160 --> 0:24:05.120
<v Speaker 11>and see it taking up eighty percent more than eighty

0:24:05.119 --> 0:24:08.120
<v Speaker 11>percent of revenue over the next decade, so we'll see

0:24:08.240 --> 0:24:10.520
<v Speaker 11>what the company has to say about this, if that

0:24:10.560 --> 0:24:11.960
<v Speaker 11>matches up, and if these.

0:24:11.840 --> 0:24:13.399
<v Speaker 4>Models change at all.

0:24:13.680 --> 0:24:16.600
<v Speaker 11>We'll also be watching for results from AMD. And really

0:24:16.680 --> 0:24:19.280
<v Speaker 11>what I'm curious about here is if the stock can

0:24:19.359 --> 0:24:21.720
<v Speaker 11>keep its rally going. So shares are up about twenty

0:24:21.720 --> 0:24:24.240
<v Speaker 11>percent in the last week. We saw some weakness in

0:24:24.240 --> 0:24:27.359
<v Speaker 11>the semiconductor space in the about a month prior, and

0:24:27.440 --> 0:24:30.520
<v Speaker 11>so AMD has a really high bar set for it.

0:24:30.560 --> 0:24:33.800
<v Speaker 11>After its last earnings result, it had solid projections in

0:24:33.840 --> 0:24:37.480
<v Speaker 11>the stock rocketed to a record high. So the setup

0:24:37.520 --> 0:24:40.159
<v Speaker 11>here is super important. We're going to be looking to

0:24:40.160 --> 0:24:42.679
<v Speaker 11>see if it's made any market share in sort of

0:24:42.680 --> 0:24:46.400
<v Speaker 11>its competition with AI processing and Nvidia. That's what's top

0:24:46.400 --> 0:24:48.560
<v Speaker 11>of mind, at least for me when I'll be watching tonight.

0:24:48.800 --> 0:24:51.560
<v Speaker 5>Thanks Ed for the most common RHINICKI thank you very much.

0:24:51.560 --> 0:24:54.200
<v Speaker 2>Indeed, our next guest says, the cloud revenue growth last

0:24:54.280 --> 0:24:59.640
<v Speaker 2>quarter by hyperscalers like Microsoft and Amazon justifies continued heavy

0:24:59.680 --> 0:25:02.360
<v Speaker 2>spend the AI build out, and we'll probably learn more

0:25:02.359 --> 0:25:04.960
<v Speaker 2>about that with AMD's earnings later today.

0:25:05.040 --> 0:25:05.560
<v Speaker 5>Let's get more.

0:25:05.600 --> 0:25:08.680
<v Speaker 2>Seline Woop portfolio manager on the Global Robotics and Automation

0:25:08.720 --> 0:25:11.800
<v Speaker 2>team at Lazard Asset Management, also PM on Lazard's next

0:25:11.840 --> 0:25:14.960
<v Speaker 2>Gen Technology ETF Tika t e Ky.

0:25:14.680 --> 0:25:15.639
<v Speaker 5>Welcome back to the show.

0:25:15.800 --> 0:25:16.480
<v Speaker 4>Great to be beat.

0:25:16.600 --> 0:25:19.280
<v Speaker 2>I mean, at the end of the day, if the

0:25:19.359 --> 0:25:22.640
<v Speaker 2>spending is justified and the spending is going to continue

0:25:22.640 --> 0:25:25.960
<v Speaker 2>to grow, AMD will be a beneficiary of that, you know.

0:25:26.000 --> 0:25:28.560
<v Speaker 2>I find the chronology of earning is interesting. What do

0:25:28.560 --> 0:25:31.160
<v Speaker 2>you think we'll learn from AMD about the future.

0:25:31.600 --> 0:25:34.639
<v Speaker 12>Yeah, I mean, obviously the hyperscular earnings that we have

0:25:34.680 --> 0:25:37.920
<v Speaker 12>seen so far has laid out the groundwork that all

0:25:37.960 --> 0:25:43.600
<v Speaker 12>the relevant hardware semiconductor ELIA team will tremendously benefit because

0:25:43.880 --> 0:25:47.280
<v Speaker 12>we continue to see the demand cannot you know, basically

0:25:47.359 --> 0:25:51.000
<v Speaker 12>there's a supply click, they cannot the demand. So definitely

0:25:51.040 --> 0:25:53.920
<v Speaker 12>really interesting to see how they're evolving that in terms

0:25:54.000 --> 0:25:57.640
<v Speaker 12>of their revenue and their addressable market they're seeing, especially

0:25:57.640 --> 0:26:01.080
<v Speaker 12>for the CPU that can benefit as a core driver

0:26:01.280 --> 0:26:03.720
<v Speaker 12>of the growth in the inference demand.

0:26:04.080 --> 0:26:07.280
<v Speaker 2>AWS CEO Matt Garman was on the show yesterday and

0:26:07.720 --> 0:26:11.359
<v Speaker 2>I tried to push him on what the CAPEX number

0:26:11.359 --> 0:26:12.960
<v Speaker 2>for next year will be, you know, whether it will

0:26:13.000 --> 0:26:17.000
<v Speaker 2>be higher in simple terms, that's on the spending side

0:26:17.240 --> 0:26:21.000
<v Speaker 2>on the growth side also what's driving it? And he's

0:26:21.119 --> 0:26:23.800
<v Speaker 2>he was pretty clear to shift to inference. You know,

0:26:23.880 --> 0:26:26.760
<v Speaker 2>training loads still there, the inference is now the driver.

0:26:27.280 --> 0:26:29.120
<v Speaker 2>Do you see that in your research?

0:26:29.720 --> 0:26:29.920
<v Speaker 6>Yeah?

0:26:30.040 --> 0:26:33.159
<v Speaker 12>Absolutely, Like a lot of companies are highlighting that the

0:26:33.280 --> 0:26:36.920
<v Speaker 12>mixshift to more inference work rood, especially on the back

0:26:36.920 --> 0:26:39.880
<v Speaker 12>of the gross in the AI agent typwork root has

0:26:39.960 --> 0:26:43.240
<v Speaker 12>been a boon for the demand in the gross not

0:26:43.400 --> 0:26:46.320
<v Speaker 12>just AWS. I would like to highlight that the same

0:26:46.440 --> 0:26:50.879
<v Speaker 12>pattern has been seen in the other two other important hydroskillers,

0:26:50.920 --> 0:26:54.560
<v Speaker 12>including Google and then Microsoft bust Well. I mean, it's

0:26:54.600 --> 0:26:58.880
<v Speaker 12>truly impressive how the three companies have delivered combined.

0:26:58.560 --> 0:27:00.399
<v Speaker 4>Fifty percent rat grows.

0:27:00.480 --> 0:27:02.840
<v Speaker 12>Just this quoter, which was a double debate that we

0:27:02.880 --> 0:27:06.399
<v Speaker 12>have seen just five quarters ago, very strong validation for

0:27:06.680 --> 0:27:11.920
<v Speaker 12>AI ROI continued commitment to spending because they're seeing extended

0:27:11.960 --> 0:27:14.919
<v Speaker 12>backlog of the customer visibility, which is a really important

0:27:15.000 --> 0:27:16.840
<v Speaker 12>barimeter for the investing in AI.

0:27:17.320 --> 0:27:20.760
<v Speaker 2>All three of those Alphabet, Amazon, Microsoft are members of

0:27:20.840 --> 0:27:24.159
<v Speaker 2>tha te Ky. If you were going to do a

0:27:24.200 --> 0:27:28.040
<v Speaker 2>scorecard from last week's earnings across the hyperscalers and the

0:27:28.040 --> 0:27:32.640
<v Speaker 2>week prior, who came out on top of those three, Well.

0:27:32.480 --> 0:27:34.840
<v Speaker 12>It's hard to pick, but I always say Microsoft and

0:27:34.920 --> 0:27:40.200
<v Speaker 12>Amazon definitely relative to expectation, this quoter was truly impressive

0:27:40.200 --> 0:27:43.560
<v Speaker 12>because all the three delivered something much better than expectation.

0:27:43.760 --> 0:27:47.959
<v Speaker 12>That was pretty impressive in my view. And then I

0:27:47.960 --> 0:27:51.679
<v Speaker 12>think people have to be comfortable and understand that by nature,

0:27:51.800 --> 0:27:56.280
<v Speaker 12>this large spending commitment has to be taking place off front,

0:27:56.640 --> 0:27:59.720
<v Speaker 12>but over time you are going to see the tensible

0:27:59.760 --> 0:28:03.000
<v Speaker 12>numbers flowing through their core businesses, and this quarter was

0:28:03.040 --> 0:28:04.600
<v Speaker 12>fantastic to prove that point.

0:28:05.000 --> 0:28:07.800
<v Speaker 2>Selena, if there's something an aggregate across all of the

0:28:07.840 --> 0:28:11.560
<v Speaker 2>companies that you track and that you include, it seems

0:28:11.600 --> 0:28:14.639
<v Speaker 2>to be that demand is still running ahead of supply,

0:28:14.840 --> 0:28:19.159
<v Speaker 2>be that cloud capacity supply, literal chip supply. On the

0:28:19.240 --> 0:28:22.000
<v Speaker 2>basis of the compute, is that a good thing? And

0:28:22.320 --> 0:28:24.520
<v Speaker 2>how long do you sort of see that lasting for?

0:28:25.480 --> 0:28:27.400
<v Speaker 12>It's a great thing, But at the same time, it's

0:28:27.400 --> 0:28:31.440
<v Speaker 12>a balancing at that entire supply chain has to work

0:28:31.440 --> 0:28:35.360
<v Speaker 12>around to make sure, yes, when there's a strong demand disability,

0:28:35.640 --> 0:28:38.200
<v Speaker 12>they have to make sure that they can supply all

0:28:38.240 --> 0:28:41.880
<v Speaker 12>the necessary components in time so that growth does not

0:28:42.320 --> 0:28:46.080
<v Speaker 12>taper off. I think it's often underestimated how much amazing

0:28:46.160 --> 0:28:48.800
<v Speaker 12>job this entire supply chain is doing just to make

0:28:48.840 --> 0:28:53.000
<v Speaker 12>that happen. For example, the LTA that is taking place

0:28:53.080 --> 0:28:55.720
<v Speaker 12>in memory space, for example, I think it's a great

0:28:55.760 --> 0:28:59.880
<v Speaker 12>example to make sure that the long transactory for demand

0:29:00.080 --> 0:29:02.440
<v Speaker 12>and the growth should be there, and that is something

0:29:02.520 --> 0:29:05.120
<v Speaker 12>truly different and unpresented as times.

0:29:05.240 --> 0:29:06.480
<v Speaker 5>So let's linger on that for a second.

0:29:06.680 --> 0:29:10.840
<v Speaker 2>Long term agreements in memory are a typical against history. Right,

0:29:10.880 --> 0:29:13.320
<v Speaker 2>what's happening you know, based on the conversations have had

0:29:13.360 --> 0:29:16.800
<v Speaker 2>recently with SK group and as well with Jensen Wong

0:29:16.960 --> 0:29:19.440
<v Speaker 2>is it's the customer saying, hey, let's do a five

0:29:19.520 --> 0:29:23.080
<v Speaker 2>year deal that hasn't happened historically. Just again, what does

0:29:23.120 --> 0:29:25.320
<v Speaker 2>that signal to you? Why is that noteworthy?

0:29:26.200 --> 0:29:30.000
<v Speaker 12>It is noteworthy because it basically proves the point that

0:29:30.120 --> 0:29:34.440
<v Speaker 12>there's an extended visibility from the customer demand and there's

0:29:35.520 --> 0:29:39.040
<v Speaker 12>basically preemptive effwords to make that happen, so that supply

0:29:39.200 --> 0:29:42.680
<v Speaker 12>and demand go handing end imbalance to make that that's

0:29:42.720 --> 0:29:46.520
<v Speaker 12>truly impressive. Once they in a generation gross opportunities is

0:29:46.560 --> 0:29:49.680
<v Speaker 12>coming from AI. We have to remember that all the

0:29:49.760 --> 0:29:52.360
<v Speaker 12>visibility is actually coming from the upstream if you think

0:29:52.400 --> 0:29:55.560
<v Speaker 12>of a TSMS, for example, the largest foundry in the world,

0:29:55.920 --> 0:29:58.640
<v Speaker 12>I would argue that this is the company that has

0:29:58.680 --> 0:30:01.640
<v Speaker 12>the best visibility when it comes to customers. And guess

0:30:01.680 --> 0:30:05.120
<v Speaker 12>what they just announced committing to additional one hundred billion

0:30:05.160 --> 0:30:08.600
<v Speaker 12>dollars in KPEX to expand in errors in the US

0:30:08.600 --> 0:30:12.560
<v Speaker 12>in conjunction with hyperskillers. I don't think they're spending money blindedly.

0:30:12.840 --> 0:30:15.640
<v Speaker 12>They're talking about they can actually see the demand that

0:30:15.680 --> 0:30:18.200
<v Speaker 12>can stretch out to the five years. That's why they're

0:30:18.200 --> 0:30:20.440
<v Speaker 12>committing to spend today, and that's why they need to

0:30:20.480 --> 0:30:24.160
<v Speaker 12>make sure all those supply chain, including the memory companies,

0:30:24.480 --> 0:30:28.320
<v Speaker 12>to just paste together to make that supplying demand come

0:30:28.360 --> 0:30:28.880
<v Speaker 12>in balance.

0:30:29.280 --> 0:30:32.160
<v Speaker 2>SELM with portfolio manager A Lazad Asset Management. Great to

0:30:32.160 --> 0:30:34.360
<v Speaker 2>have you back on the show and here in San Francisco.

0:30:34.440 --> 0:30:34.680
<v Speaker 5>Thank you.

0:30:34.840 --> 0:30:36.920
<v Speaker 2>Now coming up, we're going to speak with pala Alto

0:30:37.000 --> 0:30:41.600
<v Speaker 2>Network see Nikesh Arora about the next generation of AI

0:30:41.880 --> 0:30:45.320
<v Speaker 2>powered cyber defense. But actually I think a whole lot

0:30:45.360 --> 0:30:48.360
<v Speaker 2>more than that too. The Seero of Hugging Face will

0:30:48.400 --> 0:30:52.800
<v Speaker 2>also discuss the risk post by rapidly evolving AI models

0:30:53.320 --> 0:30:54.280
<v Speaker 2>the Susplin bag tech.

0:30:55.360 --> 0:30:59.000
<v Speaker 13>Sometimes we ask agents to think outside of the box,

0:30:59.200 --> 0:31:02.000
<v Speaker 13>but we don't on them to think outside of the sandbox?

0:31:04.360 --> 0:31:05.200
<v Speaker 5>Does AI make.

0:31:05.240 --> 0:31:10.040
<v Speaker 2>Cyber attacks faster more sophisticated? Pal Alto Networks is launching

0:31:10.120 --> 0:31:14.840
<v Speaker 2>Panos twelve point two series, a major software update featuring

0:31:15.040 --> 0:31:19.600
<v Speaker 2>Advanced Virtual Patching, an AI powered tool designed to identify

0:31:19.680 --> 0:31:25.800
<v Speaker 2>vulnerabilities and stop attacks before traditional software patchages are available.

0:31:25.960 --> 0:31:29.680
<v Speaker 2>Joining us now Palo Alto Networks Chairman and CEO Nick

0:31:29.720 --> 0:31:34.200
<v Speaker 2>kesh Ara. This is basically like an AI powered series

0:31:34.240 --> 0:31:37.360
<v Speaker 2>of network agents. Right, let's start with what they do.

0:31:37.640 --> 0:31:41.760
<v Speaker 2>But I've found in the last twelve months where AI

0:31:42.280 --> 0:31:47.080
<v Speaker 2>and cyber crossover, the best questions ask what is the

0:31:47.120 --> 0:31:48.440
<v Speaker 2>problem you're trying to solve for here?

0:31:48.520 --> 0:31:50.720
<v Speaker 4>Nikesh great, well, nice to see that.

0:31:50.920 --> 0:31:54.160
<v Speaker 6>The first and foremost, as you've seen, there's a lot

0:31:54.200 --> 0:31:57.680
<v Speaker 6>of conversation in the market of AIS capability in.

0:31:57.720 --> 0:31:59.080
<v Speaker 4>The space of cybersecurity.

0:31:59.520 --> 0:32:03.360
<v Speaker 6>What we're doing is very effectively seat of rebuilding the

0:32:03.440 --> 0:32:06.480
<v Speaker 6>operating system of network security.

0:32:06.080 --> 0:32:06.640
<v Speaker 4>For the future.

0:32:06.720 --> 0:32:08.800
<v Speaker 6>I mean, imagine having a car in the past and

0:32:08.880 --> 0:32:10.479
<v Speaker 6>imagine want to create the next testla.

0:32:10.880 --> 0:32:12.720
<v Speaker 4>We're basically creating the plumbing.

0:32:12.440 --> 0:32:14.920
<v Speaker 6>In our network products which allows us to build a

0:32:15.040 --> 0:32:18.800
<v Speaker 6>tesla like experience for cybersecurity where our products will start

0:32:18.840 --> 0:32:21.040
<v Speaker 6>to do a lot of things for you using agents

0:32:21.160 --> 0:32:23.480
<v Speaker 6>using AI, and that's kind of what the fundamental series

0:32:24.360 --> 0:32:26.640
<v Speaker 6>launch is. In addition to that, I think one of

0:32:26.640 --> 0:32:29.960
<v Speaker 6>the biggest features we have as part of a series is,

0:32:30.080 --> 0:32:32.960
<v Speaker 6>as you've all heard about, all the AI models begining

0:32:33.000 --> 0:32:34.560
<v Speaker 6>to show vulnerabilities.

0:32:33.960 --> 0:32:35.960
<v Speaker 4>And start allowing attackers to attack faster.

0:32:36.400 --> 0:32:39.320
<v Speaker 6>While the average time it takes to patch vulnerabilities fifty

0:32:39.360 --> 0:32:42.680
<v Speaker 6>five days, we don't have fifty five days. When AI

0:32:42.800 --> 0:32:45.960
<v Speaker 6>finds the vulnerability, AI wants to attack or exploit the

0:32:46.000 --> 0:32:47.880
<v Speaker 6>vulnerability as soon as it can.

0:32:48.080 --> 0:32:50.480
<v Speaker 4>So this release allows us to.

0:32:50.600 --> 0:32:53.320
<v Speaker 6>Take a lot of the patches vulnerability to be found

0:32:53.600 --> 0:32:56.080
<v Speaker 6>and build patches in minutes and hours so that we

0:32:56.160 --> 0:32:59.040
<v Speaker 6>can provide patching capability to our customers in a short

0:32:59.080 --> 0:33:01.560
<v Speaker 6>period of time to eliminate that fifty five day weight

0:33:01.640 --> 0:33:04.000
<v Speaker 6>that has traditionally been sort of the industry average.

0:33:05.440 --> 0:33:07.000
<v Speaker 2>In what you published this morning, there's a lot of

0:33:07.080 --> 0:33:09.880
<v Speaker 2>background and research onto what you were looking for, and

0:33:09.960 --> 0:33:13.560
<v Speaker 2>in one case, in a review of open source software,

0:33:14.120 --> 0:33:18.240
<v Speaker 2>your team talk about sort of fourteen thousand vulnerabilities. What

0:33:18.360 --> 0:33:21.160
<v Speaker 2>you were just talking about is essentially zero day vulnerabilities. Right,

0:33:21.280 --> 0:33:25.880
<v Speaker 2>the window between discovery and exploiting vulnerability is now zero.

0:33:27.880 --> 0:33:28.400
<v Speaker 5>Amountable.

0:33:29.280 --> 0:33:32.760
<v Speaker 4>Yes, yes, yes, please no, I think Look, you're right.

0:33:32.880 --> 0:33:36.600
<v Speaker 6>The possibility that AI shows you, whether it's a models

0:33:36.640 --> 0:33:39.720
<v Speaker 6>you've seen from open Ai, from Entropic, you see that

0:33:40.320 --> 0:33:43.880
<v Speaker 6>AI agents are able to discover vulnerabilities, come up with

0:33:43.960 --> 0:33:47.080
<v Speaker 6>attack paths, figure out how to concatenate a bunch of vulnerabilities,

0:33:47.240 --> 0:33:49.160
<v Speaker 6>and attack customers infrastructure.

0:33:49.360 --> 0:33:50.600
<v Speaker 4>Now we need to figure out how.

0:33:50.520 --> 0:33:53.480
<v Speaker 6>To respond to that at the same speed at which

0:33:53.600 --> 0:33:56.120
<v Speaker 6>AI is discovering these vulnerabilities, but we don't have time

0:33:56.160 --> 0:33:58.320
<v Speaker 6>to pack. So what we've done is we basically built

0:33:58.360 --> 0:34:01.440
<v Speaker 6>the capability in our software, and we have research team

0:34:01.480 --> 0:34:04.680
<v Speaker 6>researching moder abilities that we build patches as fast as

0:34:04.720 --> 0:34:06.920
<v Speaker 6>we can. We built we've kind of gotten the patch

0:34:07.000 --> 0:34:09.279
<v Speaker 6>processed down to four hours. We expect to bring it

0:34:09.360 --> 0:34:11.560
<v Speaker 6>even shorter with products like what I allow you to

0:34:11.640 --> 0:34:15.200
<v Speaker 6>create sort of instant patches. But that shortening from fifty

0:34:15.239 --> 0:34:17.719
<v Speaker 6>five days to four hours, it's a big step, which

0:34:17.760 --> 0:34:20.000
<v Speaker 6>is what part of the release that we've just launched.

0:34:19.760 --> 0:34:20.400
<v Speaker 4>Allows us to do.

0:34:21.680 --> 0:34:25.479
<v Speaker 2>The biggest story of recent weeks is to advanced open

0:34:25.520 --> 0:34:29.920
<v Speaker 2>AI models escaping a sandboxed environment, gaining Internet access and

0:34:30.040 --> 0:34:34.200
<v Speaker 2>mistakingly accessing hugging faces, platforms and lots of people.

0:34:35.960 --> 0:34:38.640
<v Speaker 5>Mistakenly. You know, I'm being.

0:34:38.480 --> 0:34:41.520
<v Speaker 2>Careful with my choice of words that you know people

0:34:41.560 --> 0:34:45.719
<v Speaker 2>in your industry basically put this as a watershed moment

0:34:45.840 --> 0:34:49.440
<v Speaker 2>for AI in cyber I really want to know what

0:34:49.520 --> 0:34:50.200
<v Speaker 2>you feel about it.

0:34:51.640 --> 0:34:54.160
<v Speaker 6>Like as you can see, a lot of Frontier model

0:34:54.239 --> 0:34:57.480
<v Speaker 6>companies are flexing, They're showing the immense capabilities of what

0:34:57.800 --> 0:34:58.680
<v Speaker 6>AI models can do.

0:34:58.760 --> 0:35:01.080
<v Speaker 4>And this is true that we had an incident where

0:35:01.120 --> 0:35:02.200
<v Speaker 4>an AI model using.

0:35:02.120 --> 0:35:06.040
<v Speaker 6>Agentic capabilities was able to escape its sandbox and be

0:35:06.160 --> 0:35:09.080
<v Speaker 6>able to go ahead and attack sort of infrastructure of

0:35:09.280 --> 0:35:13.000
<v Speaker 6>effectively hugging face to go look for exploit gym sort

0:35:13.040 --> 0:35:13.840
<v Speaker 6>of capability.

0:35:13.920 --> 0:35:16.400
<v Speaker 4>So I think what it tells is one, AI.

0:35:16.360 --> 0:35:18.799
<v Speaker 6>Models are going to be more and more capable over

0:35:18.880 --> 0:35:21.320
<v Speaker 6>time from a cybersecurity perspective. I think two, it's a

0:35:21.400 --> 0:35:23.440
<v Speaker 6>lesson for our friends at Frontier and LMS to make

0:35:23.480 --> 0:35:26.520
<v Speaker 6>sure that before they create captures of flank exercises to

0:35:26.560 --> 0:35:29.640
<v Speaker 6>go find something in their external infrastructure, they should probably

0:35:29.680 --> 0:35:32.160
<v Speaker 6>make sure that their sandboxes are secure and they are

0:35:32.239 --> 0:35:34.920
<v Speaker 6>not suffering from any vulnerabilities before they start pointing the

0:35:34.960 --> 0:35:38.839
<v Speaker 6>models outside. I think from a more industry perspective, as

0:35:38.880 --> 0:35:40.680
<v Speaker 6>you saw, what we have to do is we have

0:35:40.800 --> 0:35:43.600
<v Speaker 6>to start fighting this notion of AI with AI on

0:35:43.640 --> 0:35:45.720
<v Speaker 6>the defense side. So a lot of work has happened

0:35:45.800 --> 0:35:48.440
<v Speaker 6>on the offense side, and offense is always easier. I

0:35:48.480 --> 0:35:50.200
<v Speaker 6>think we have to expend a lot more effort on

0:35:50.320 --> 0:35:52.359
<v Speaker 6>making sure that there's defense capabilities.

0:35:52.600 --> 0:35:53.839
<v Speaker 4>And I said that in the past.

0:35:53.880 --> 0:35:56.440
<v Speaker 6>I said six months, four months ago that I expect

0:35:56.480 --> 0:35:58.520
<v Speaker 6>this capability to be around in six months.

0:35:58.520 --> 0:35:59.919
<v Speaker 4>It looks like it showed up in four months.

0:36:00.080 --> 0:36:04.160
<v Speaker 6>So we have now seen attackers can actually effectively take

0:36:04.239 --> 0:36:07.279
<v Speaker 6>these models and the capabilities that frontier elements ride, which

0:36:07.320 --> 0:36:09.680
<v Speaker 6>I think is going to become commonplace over the next

0:36:09.680 --> 0:36:11.439
<v Speaker 6>three months, or we'll be able to find open source

0:36:11.520 --> 0:36:13.960
<v Speaker 6>models out there which you will have similar capabilities as

0:36:14.000 --> 0:36:16.719
<v Speaker 6>you see those models getting distilled. So I think that

0:36:17.000 --> 0:36:19.439
<v Speaker 6>sort of incumbent upon us to make sure we build

0:36:19.440 --> 0:36:22.400
<v Speaker 6>the defensive capabilities while we have the time to be

0:36:22.600 --> 0:36:25.560
<v Speaker 6>ready for these sort of attacks to get faster, more efficient,

0:36:25.960 --> 0:36:26.520
<v Speaker 6>and more.

0:36:27.960 --> 0:36:28.280
<v Speaker 4>Quicker.

0:36:29.080 --> 0:36:33.320
<v Speaker 2>Nikash, what is the token economics consideration where AI is

0:36:33.440 --> 0:36:38.400
<v Speaker 2>increasingly used in the form of swarms of agents in defense.

0:36:39.600 --> 0:36:42.759
<v Speaker 6>Like tokens have said. I said a few weeks ago

0:36:42.880 --> 0:36:44.800
<v Speaker 6>that I think tokens are overpriced. I think part of

0:36:44.840 --> 0:36:48.160
<v Speaker 6>the challenge is that the whole host of AI infrastructure

0:36:48.200 --> 0:36:50.600
<v Speaker 6>for consumers being paid for by enterprise. I think token

0:36:50.640 --> 0:36:52.680
<v Speaker 6>prices need to come down to the tune for eighty

0:36:52.840 --> 0:36:55.160
<v Speaker 6>ninety percent, which will allow all of us to both

0:36:55.280 --> 0:36:58.080
<v Speaker 6>use AI effectively for products that we're building for our customers,

0:36:58.400 --> 0:37:02.520
<v Speaker 6>or perhaps for doing drug research, perhaps making organizations organizations

0:37:02.600 --> 0:37:03.120
<v Speaker 6>more efficent.

0:37:03.160 --> 0:37:04.160
<v Speaker 4>So I think we'll see that.

0:37:04.320 --> 0:37:07.520
<v Speaker 6>We already saw this past week that some of the

0:37:07.560 --> 0:37:10.239
<v Speaker 6>frontier models have given us better pricing. From a token

0:37:10.280 --> 0:37:13.720
<v Speaker 6>economics perspective. Now you will see a lot more tokens

0:37:13.719 --> 0:37:15.239
<v Speaker 6>being used. You will see a lot of us use

0:37:15.280 --> 0:37:17.200
<v Speaker 6>tokens in our products. You'll see us use them in

0:37:17.280 --> 0:37:19.720
<v Speaker 6>our business processes as starting somebody yesday.

0:37:19.719 --> 0:37:21.319
<v Speaker 4>I think it's not unreasonable to.

0:37:21.320 --> 0:37:23.880
<v Speaker 6>Expect that ten to fifteen percent of our optics in

0:37:23.920 --> 0:37:26.120
<v Speaker 6>the next ten years is going to move towards AI

0:37:26.600 --> 0:37:27.720
<v Speaker 6>or IT or tokens.

0:37:27.880 --> 0:37:28.879
<v Speaker 4>So that's a big number.

0:37:29.040 --> 0:37:31.560
<v Speaker 6>Fifteen percent of oppics will effectively move, and I think

0:37:31.719 --> 0:37:35.080
<v Speaker 6>that's where we're headed. From a token economics, token math perspective.

0:37:36.440 --> 0:37:39.600
<v Speaker 2>Nikesh, Finally, before we let you go, there are reports

0:37:39.680 --> 0:37:43.400
<v Speaker 2>that you are leading a group or a consortium to

0:37:43.760 --> 0:37:46.000
<v Speaker 2>purchase an NBA franchise in London.

0:37:46.760 --> 0:37:48.920
<v Speaker 5>What can you tell me about your plans for that? Please?

0:37:50.040 --> 0:37:52.640
<v Speaker 6>Thinks very important balance work and play at not getting

0:37:52.640 --> 0:37:54.520
<v Speaker 6>any younger. Need to make sure that while we're working

0:37:54.600 --> 0:37:56.080
<v Speaker 6>hard to make sure we do what we do in

0:37:56.120 --> 0:37:58.040
<v Speaker 6>our day life, we have to make sure we find

0:37:58.120 --> 0:38:00.760
<v Speaker 6>time to be able to follow our passions. My excellent

0:38:00.880 --> 0:38:04.400
<v Speaker 6>passionate about basketball. I'm passionate about basketball. I have we

0:38:04.520 --> 0:38:06.239
<v Speaker 6>have a cricket deam in London, me and a bunch

0:38:06.320 --> 0:38:08.960
<v Speaker 6>of my friends. I think part of the conversation was,

0:38:09.040 --> 0:38:11.680
<v Speaker 6>can we actually see if there's another opportunity to make

0:38:11.719 --> 0:38:14.879
<v Speaker 6>sure that we can make basketball relevant in Europe as

0:38:15.040 --> 0:38:16.200
<v Speaker 6>part of the NBA's efforts.

0:38:16.239 --> 0:38:19.279
<v Speaker 4>So we have we have an aspirant bid in there.

0:38:19.360 --> 0:38:21.200
<v Speaker 6>We'll see there are many people who are interested in

0:38:21.239 --> 0:38:23.560
<v Speaker 6>the asset and hopefully the best team will win.

0:38:24.560 --> 0:38:27.520
<v Speaker 2>Nikesh, just asking for I guess the Bloomberg Tech audience,

0:38:27.560 --> 0:38:30.239
<v Speaker 2>how much does an MBA franchise in London set one back?

0:38:31.800 --> 0:38:34.239
<v Speaker 6>I think, what does it say what's the price to something,

0:38:34.280 --> 0:38:36.000
<v Speaker 6>what somebody's willing to pay for it, So we'll find out.

0:38:37.400 --> 0:38:40.839
<v Speaker 2>Nikesha or Palo Alto Network CEO n hm, and it's

0:38:40.880 --> 0:38:42.160
<v Speaker 2>great to have you back onto the attack.

0:38:42.600 --> 0:38:44.360
<v Speaker 5>Thank you very much. He didn't say no.

0:38:45.360 --> 0:38:48.719
<v Speaker 2>Let's stick with cybersecurity. Hugging Face CEO Clean DeLong told

0:38:48.719 --> 0:38:51.799
<v Speaker 2>Bloomberg that the recent Opening Eye linked cyber attack could

0:38:51.840 --> 0:38:54.040
<v Speaker 2>have been much worse and that the use of open

0:38:54.080 --> 0:38:57.240
<v Speaker 2>weight models was crucial to defending the platform.

0:38:58.480 --> 0:39:02.800
<v Speaker 13>We defended ourselves with model right, and some of the

0:39:02.920 --> 0:39:08.320
<v Speaker 13>guad rails prevented us from using frontier APIs to defend ourselves.

0:39:08.719 --> 0:39:12.360
<v Speaker 13>So kind of like impulling the tools or defenders, you know,

0:39:12.440 --> 0:39:15.600
<v Speaker 13>instead of subsizzing about not giving them to attackers. I

0:39:15.680 --> 0:39:18.040
<v Speaker 13>think would be a good thing in the future to

0:39:18.680 --> 0:39:20.840
<v Speaker 13>make sure these incidents are not too harmful.

0:39:22.000 --> 0:39:22.239
<v Speaker 4>Okay.

0:39:22.320 --> 0:39:25.760
<v Speaker 2>Coming up another tech focus hedge funds, since as results

0:39:25.800 --> 0:39:28.719
<v Speaker 2>of July's AI link, seller will discuss what's weighing on

0:39:28.840 --> 0:39:30.680
<v Speaker 2>KO two's funds next.

0:39:31.080 --> 0:39:32.200
<v Speaker 5>This is Bloomberg Tech.

0:39:45.800 --> 0:39:48.000
<v Speaker 2>We're still keeping an eye on shares of Palenteer, up

0:39:48.080 --> 0:39:50.680
<v Speaker 2>almost twenty seven percent, on track for their biggest jump

0:39:51.040 --> 0:39:54.360
<v Speaker 2>since February of twenty twenty four, a big raise. The

0:39:54.480 --> 0:39:57.319
<v Speaker 2>outlook both on the top and bottom line for this year.

0:39:57.520 --> 0:40:00.439
<v Speaker 2>Lots of strength in the commercial business in the Uni States.

0:40:00.480 --> 0:40:02.520
<v Speaker 2>In fact, most of the growth coming from the United States.

0:40:02.800 --> 0:40:06.960
<v Speaker 2>Internationally a little slower thirty three percent, but there's a

0:40:07.000 --> 0:40:09.720
<v Speaker 2>lot of potential here for palenteering. The market very excited

0:40:09.760 --> 0:40:12.319
<v Speaker 2>about it. Let's talk about hedge funds. Last month's AI

0:40:12.480 --> 0:40:15.920
<v Speaker 2>selloff has hit another tech focus hedge fund Co Through

0:40:16.000 --> 0:40:17.600
<v Speaker 2>Management's fund plunged over.

0:40:17.600 --> 0:40:18.719
<v Speaker 5>Eight percent in July.

0:40:19.160 --> 0:40:21.840
<v Speaker 2>It's worth month in a year, but the fund remains

0:40:21.960 --> 0:40:24.640
<v Speaker 2>up fourteen point three percent year to date, according to

0:40:24.719 --> 0:40:25.160
<v Speaker 2>a source.

0:40:25.480 --> 0:40:26.200
<v Speaker 5>Let's get more and.

0:40:26.239 --> 0:40:29.160
<v Speaker 2>What's driving it and the impact from Bluver's hedge fund reporter,

0:40:29.280 --> 0:40:32.480
<v Speaker 2>Hemma Palmer. You know what happened in July. AI and

0:40:32.600 --> 0:40:35.640
<v Speaker 2>chip stocks sold off pretty heavily. Is that the story here?

0:40:36.160 --> 0:40:40.000
<v Speaker 14>Yes, exactly. It's an a concentrated AI. Bet Co two

0:40:40.160 --> 0:40:43.640
<v Speaker 14>has long been bullish on the sector and four of

0:40:43.760 --> 0:40:47.759
<v Speaker 14>its biggest holdings in the in the trade have worked

0:40:47.800 --> 0:40:53.440
<v Speaker 14>against it. You're seeing huge declines on Taimewan Semiconductor, ge Vanova,

0:40:53.960 --> 0:40:57.839
<v Speaker 14>LAMB Research, and Applied Materials. Some of them sinking as

0:40:58.000 --> 0:41:01.560
<v Speaker 14>much as a twenty nine percent. So this is part

0:41:01.600 --> 0:41:04.200
<v Speaker 14>of what you know, pull down the fund's performance to

0:41:04.440 --> 0:41:07.959
<v Speaker 14>the worst performance in over a year for the month.

0:41:08.800 --> 0:41:11.000
<v Speaker 14>But yes, as you mentioned earlier, the fund is still

0:41:11.120 --> 0:41:13.319
<v Speaker 14>up fourteen percent on the year.

0:41:14.600 --> 0:41:19.160
<v Speaker 2>The Philippe lefont thesis is that there is a super

0:41:19.239 --> 0:41:23.920
<v Speaker 2>cycle in AI coming. Yeah, any deviation from that after July, I.

0:41:23.960 --> 0:41:27.160
<v Speaker 14>Can't imagine that he would have changed his perspective, which

0:41:27.160 --> 0:41:30.120
<v Speaker 14>he's held on to for quite some time. He has

0:41:30.200 --> 0:41:34.160
<v Speaker 14>experienced volatility earlier this year. They were down five percent

0:41:34.400 --> 0:41:38.040
<v Speaker 14>in March given the tumult in the Middle East. They

0:41:38.200 --> 0:41:42.400
<v Speaker 14>also posted a return in May, its best return in

0:41:42.560 --> 0:41:46.600
<v Speaker 14>like twenty five years, when they gained fourteen percent in

0:41:46.680 --> 0:41:49.600
<v Speaker 14>that month alone. So look, it's been a rollercoaster four

0:41:49.640 --> 0:41:51.960
<v Speaker 14>investors in this fund, But you do know what you're

0:41:52.000 --> 0:41:54.480
<v Speaker 14>getting when you invest in CO two, and it is

0:41:54.640 --> 0:41:57.319
<v Speaker 14>this sort of long held division that the future will

0:41:57.400 --> 0:41:59.920
<v Speaker 14>be AI driven, that there is this super cycle to come.

0:42:00.560 --> 0:42:03.400
<v Speaker 14>And I can't imagine that this one month would.

0:42:03.280 --> 0:42:04.719
<v Speaker 5>Have changed his perspective.

0:42:04.880 --> 0:42:06.480
<v Speaker 4>Who knows, he may have bought the dip as well.

0:42:07.200 --> 0:42:09.280
<v Speaker 2>Right, let's go back to the Y today game. Fourteen

0:42:09.320 --> 0:42:11.759
<v Speaker 2>point three percent. Like, where does coachwo sit in the

0:42:11.840 --> 0:42:13.880
<v Speaker 2>sort of group of other hedge funds that you've been

0:42:13.920 --> 0:42:14.520
<v Speaker 2>able to track?

0:42:14.680 --> 0:42:17.800
<v Speaker 14>Yeah, good questions. So when we look at the spread

0:42:17.840 --> 0:42:21.600
<v Speaker 14>of the sector, we have Tiger Global, CO two, Viking,

0:42:21.840 --> 0:42:24.960
<v Speaker 14>Loan Pine. We call these firms a Tiger cubs because

0:42:25.320 --> 0:42:29.440
<v Speaker 14>they came from Julian Robinson's Tiger Management and respawned their

0:42:29.520 --> 0:42:32.400
<v Speaker 14>own firms. And so when we look at say there

0:42:32.520 --> 0:42:35.799
<v Speaker 14>is some divergence, right, Viking Global, for example, a lot

0:42:35.920 --> 0:42:40.279
<v Speaker 14>more cautious on the AI sector, really pulling back those

0:42:40.360 --> 0:42:43.200
<v Speaker 14>shares not as exposed that would have helped them in

0:42:43.280 --> 0:42:46.960
<v Speaker 14>a month like last month. But they've also said that

0:42:47.040 --> 0:42:49.600
<v Speaker 14>that's meant some missing out on some games that other

0:42:49.680 --> 0:42:53.000
<v Speaker 14>firms have really taken advantage of, like CO two, like

0:42:53.120 --> 0:42:55.400
<v Speaker 14>Tiger Global, and to some extent like.

0:42:55.880 --> 0:42:59.040
<v Speaker 2>Loan Pine, A conversation for another day, but also pointing

0:42:59.040 --> 0:43:01.440
<v Speaker 2>out we see CO two on the cap table and

0:43:01.560 --> 0:43:04.200
<v Speaker 2>some private rounds of private companies too. Bloomberg Semma, Palmer,

0:43:04.400 --> 0:43:06.920
<v Speaker 2>great job, Thank you very much. That does it for

0:43:07.000 --> 0:43:10.160
<v Speaker 2>this edition of Bloomberg Tech. We have more earnings after

0:43:10.239 --> 0:43:15.120
<v Speaker 2>the bell today, AMD SpaceX its first quarterly earnings as

0:43:15.160 --> 0:43:19.080
<v Speaker 2>a public company, and first call a real big focus

0:43:19.160 --> 0:43:22.920
<v Speaker 2>on elon Musk and whether the question of a SpaceX

0:43:22.960 --> 0:43:27.080
<v Speaker 2>Tesla merger gets posed also paramount, and then tomorrow Uber

0:43:27.160 --> 0:43:30.439
<v Speaker 2>and Disney are the ones that we're watching as well.

0:43:30.760 --> 0:43:32.640
<v Speaker 2>It is a session that's kind of been dominated by

0:43:32.719 --> 0:43:36.200
<v Speaker 2>Palenteers earnings, but basically stocks at all time highs on

0:43:36.239 --> 0:43:39.200
<v Speaker 2>the S and P five hundred. Technology is leading the way.

0:43:39.920 --> 0:43:42.200
<v Speaker 2>How does earnings impact that so much? To recap on

0:43:42.440 --> 0:43:44.080
<v Speaker 2>the pod, you know where to find it on the

0:43:44.120 --> 0:43:48.120
<v Speaker 2>Bloomberg platforms as well as online on Apple, iHeart and

0:43:48.320 --> 0:43:49.040
<v Speaker 2>on Spotify.

0:43:49.640 --> 0:43:51.560
<v Speaker 5>Let's keep it going. This is Bloomberg Tech