WEBVTT - Salesforce, Figma Decline After Earnings

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is a

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<v Speaker 1>live from Coast to Coast with Caroline Hide in New

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<v Speaker 1>York and Va Lowe in Sentrancisco.

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<v Speaker 2>This is Bloomberg Tech coming up. Salesforce sell off as

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<v Speaker 2>lackluster top line growth forecast suggests AI isn't paying.

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<v Speaker 3>Off just yet.

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<v Speaker 4>Plus, Apple plans.

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<v Speaker 5>To up its AI game with a web search for

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<v Speaker 5>Siri as it leans towards Google's Gemini for its next

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<v Speaker 5>gen voice assistant.

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<v Speaker 2>An HPE, where there's a profit squeeze as AI hits

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<v Speaker 2>the server maker's margins despite demand.

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<v Speaker 4>First, let's take a look at the broader markets.

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<v Speaker 5>You're going to dig into the details of these earnings.

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<v Speaker 5>Z I look at a context that it's up three

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<v Speaker 5>ten percent on the NASDAG. We are digesting pretty woful

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<v Speaker 5>labor data once more, but all eyes on the FED

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<v Speaker 5>to cut ninety chance the money markets that there will

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<v Speaker 5>move as soon as this month, as we still are

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<v Speaker 5>looking at what the Senate is discussing on the future

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<v Speaker 5>of the FED and who's actually sitting on it.

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<v Speaker 2>There's a lot going on this week, but software in

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<v Speaker 2>particular now earnings in that context are driving markets lower

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<v Speaker 2>in this case. So Salesforce is talking of its kind

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<v Speaker 2>of historic growth rates, but the outlook for its top

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<v Speaker 2>line growth, particularly as it relates to AI, it's just

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<v Speaker 2>not there yet. We're going to get into the analysis

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<v Speaker 2>in just a second now, Figma, this is its first

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<v Speaker 2>earnings post IPO at the end of July.

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<v Speaker 6>Big drop on the stock.

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<v Speaker 2>Remember it jumped to one hundred and fifty percent in

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<v Speaker 2>its debut. Carrow, you were there, you lived through it.

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<v Speaker 2>It basically met estimates, but it just shows how high

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<v Speaker 2>and lofty expectations of the market are. Right now, I

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<v Speaker 2>want to dig into numbers, starting with Salesforce. Let's get

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<v Speaker 2>out to Blomberg Intelligence senior tech analyst and rag Rana.

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<v Speaker 2>Maybe you caught Benny off on the call, maybe you

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<v Speaker 2>caught him in interviews on other networks. He was talking

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<v Speaker 2>up about like Salesforce growth rates and a RAG they

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<v Speaker 2>are better than anyone out there. But the story seems

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<v Speaker 2>to be the out and how AI is contributing.

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<v Speaker 7>What do you think? Yeah, I think the expectations were

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<v Speaker 7>a little bit high in that case from the AI

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<v Speaker 7>contribution point of view, But if you look at results

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<v Speaker 7>from Workday and other tech companies, out there. We are

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<v Speaker 7>still struggling to see discritionary it spending bounce back. We

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<v Speaker 7>have not seen any of that stuff. And given the

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<v Speaker 7>size of a company salesforces, you're going to see the

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<v Speaker 7>impact of that on bottom lines. If there are no

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<v Speaker 7>massive secrets out there, you're not going to see revenue

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<v Speaker 7>acce rate. And I think that's the story, which is,

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<v Speaker 7>you know, I think common to most of the software landscape,

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<v Speaker 7>except the companies that you know only work on AI, infrastructure, parking.

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<v Speaker 7>If you leave them alone, the rest of the industry

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<v Speaker 7>is struggling.

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<v Speaker 5>Right now, what do you make the first numbers from Figma,

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<v Speaker 5>because in many ways it was a company that pivoted

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<v Speaker 5>well embraced generator of AI was able to show how

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<v Speaker 5>it's working for its bottom line as a public company.

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<v Speaker 4>We are seeing a tunnel in the shares.

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<v Speaker 7>Yeah, I would say that my expectations were pretty bad

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<v Speaker 7>or wrong in this case. I was looking for a

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<v Speaker 7>revenue to improve because of a price increase they have

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<v Speaker 7>put in. But it seems like, you know, they basically

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<v Speaker 7>met the expectations that they gave. And to be very frank,

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<v Speaker 7>in an IPO landscape, it doesn't work like that. The

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<v Speaker 7>first few quoters. You really need to showcase, you know,

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<v Speaker 7>an improvement in fundamentals. This just shows that there is

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<v Speaker 7>a lot they have to do in order to get

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<v Speaker 7>and I would say match up to the valuation that

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<v Speaker 7>they have achieved right now.

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<v Speaker 5>An Agrana holding yourself accountable. We appreciate that. Bluemeg Intelligence.

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<v Speaker 5>We always love the expertise. Let's get a broader look

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<v Speaker 5>at the tech sector right now because Carol Schlife is

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<v Speaker 5>with us BIMO Private Wealth Chief market Strategist.

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<v Speaker 4>Carol, it's been a while.

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<v Speaker 5>Great to have you on Bloomberg Tech and more broadly,

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<v Speaker 5>how are you thinking of the software story the AI

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<v Speaker 5>winners versus Lewis's right now.

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<v Speaker 8>Now we really first up, thanks for having me on.

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<v Speaker 8>It's great to be back again, and it really is important.

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<v Speaker 8>It takes you know, investors are very black and white.

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<v Speaker 8>They want to see instantaneous results, but all of this

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<v Speaker 8>stuff takes some time to filter through a figure out

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<v Speaker 8>how we're going to deploy it. But the software and

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<v Speaker 8>that moving away from, if you will, the picks and

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<v Speaker 8>shovels of building out the infrastructure into the use cases

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<v Speaker 8>and how that factors in. That is definitely a way

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<v Speaker 8>that we see things playing out in the intermediate to

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<v Speaker 8>longer term because you're not going to be able to

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<v Speaker 8>get away from AI. A lot of companies are trying

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<v Speaker 8>to figure out how to deploy it, how to use it,

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<v Speaker 8>how to train their employees in using it. Because you've

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<v Speaker 8>got those early adopters who are using it actively, and

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<v Speaker 8>you've got the others that are not as willing to

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<v Speaker 8>be on the bleeding edge, if you will, of the

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<v Speaker 8>day to day use case.

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<v Speaker 5>What therefore, is the likelihood that some of the older

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<v Speaker 5>companies with big presence in the market, such as a salesforce,

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<v Speaker 5>can fend off new competition. How much you having to

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<v Speaker 5>build that in to an invest the risk right now

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<v Speaker 5>that we are seeing a totally new cohort come to

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<v Speaker 5>a powerful place in general to AI, you are, but.

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<v Speaker 8>You're also seeing those the old line, old guard have

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<v Speaker 8>the cash flow to be able to snap up some

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<v Speaker 8>of those. It's almost like a whales and krill kind

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<v Speaker 8>of scenario out there, and you look at, for example,

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<v Speaker 8>in the build out of the infrastructure, You've got a

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<v Speaker 8>lot of that going on too, where the largest companies

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<v Speaker 8>are buying up the smaller companies in the competition, so

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<v Speaker 8>that really smart, really useful competition. One of the ways

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<v Speaker 8>they get leverage and into a lot of end users too,

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<v Speaker 8>is through the distribution channel of some of those larger companies.

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<v Speaker 8>So there's a use case to be made or an

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<v Speaker 8>investment case to be made for a whole lot of

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<v Speaker 8>sizes in that software industry.

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<v Speaker 2>Carol, I really appreciate that the command you've got over

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<v Speaker 2>what's happening right particularly in software. We've been talking about

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<v Speaker 2>it all week. I mean, one of our guests this

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<v Speaker 2>week said that September was the most hated month for investors.

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<v Speaker 2>But basically, you know, we're going back to old fashioned

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<v Speaker 2>earnings talk. Did they meet or excited high expectation, particularly

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<v Speaker 2>in software sense? Not really? Did AI have a tangible

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<v Speaker 2>contribution to top line growth?

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<v Speaker 9>Not?

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<v Speaker 4>Really?

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<v Speaker 2>Is that the way that you approach a week like this, Well, I.

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<v Speaker 8>Think a piece of it is is investors have to

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<v Speaker 8>understand where what timeframe they're using, and where their expectations are,

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<v Speaker 8>because you know, we've looked at a lot of these

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<v Speaker 8>companies and you've got very active. When you step back

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<v Speaker 8>from it, you look at the margins on these companies

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<v Speaker 8>relative to most of the rest of the S and

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<v Speaker 8>P those margins are great margins are cash flowing businesses,

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<v Speaker 8>and as we all know, once you put a software

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<v Speaker 8>system into a company, it's really hard to make a

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<v Speaker 8>decision to change that or move that. And so from

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<v Speaker 8>that perspective, I think investors have to ask themselves on

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<v Speaker 8>an absolute basis, are these companies generating the kinds of

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<v Speaker 8>revenues that I want? Even if they didn't be what

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<v Speaker 8>the wildest expectations that I was hoping for. Because the

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<v Speaker 8>industry tends to run or investors tend to run ahead

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<v Speaker 8>of themselves, and the whisper numbers always a little bit

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<v Speaker 8>higher than where they're at, and yet the companies, the

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<v Speaker 8>industry in general are generating amazing returns.

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<v Speaker 2>Carol, this week we talked at about concentration risk, and

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<v Speaker 2>the more sanguine of your peers in the market would say, well,

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<v Speaker 2>we look at profit estimates for the MAG seven in particular,

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<v Speaker 2>but tech generally so much better than the S and

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<v Speaker 2>P five hundred aggregate. But you have concentration risk. How

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<v Speaker 2>are you thinking about that at the moment.

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<v Speaker 8>I think one of the ways that we deal with

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<v Speaker 8>it is barbelling portfolios and really leaning into that diversification

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<v Speaker 8>because there is concentration risk. You've also got higher valuations overall,

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<v Speaker 8>and you've got markets that are primed for perfection if

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<v Speaker 8>you will, so they don't, they don't leave. That doesn't

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<v Speaker 8>leave much wiggle room other than when you get big

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<v Speaker 8>pullbacks like we had in April. It's one of the

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<v Speaker 8>reasons why I think the pullback was so short lived

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<v Speaker 8>back then and the reset was quick is people who

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<v Speaker 8>have been sitting on the sidelines looking for an opportunity

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<v Speaker 8>to get in dead. So one of the ways that

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<v Speaker 8>you deal with that is you school yourself to expect

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<v Speaker 8>some level of volatility, don't freak out when it first happens,

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<v Speaker 8>and maybe own some other industries, some other segments, some

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<v Speaker 8>other parts of the globe, and maybe some fixed incomers

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<v Speaker 8>to balance the portfolio and to allow it to be

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<v Speaker 8>able to ride through those storms.

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<v Speaker 4>Diversification key.

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<v Speaker 5>But just going back to the concentration risk and the

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<v Speaker 5>area of hardware having been the most loved.

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<v Speaker 4>Salesforce is down thirty.

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<v Speaker 5>Percent basically year to date with looking at Broadcom up

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<v Speaker 5>thirty percent year to date, and we got their earnings

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<v Speaker 5>after the ball is hardware and picks and shovels still

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<v Speaker 5>where it's at Carol, Well, I think.

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<v Speaker 8>A piece of it. We're not through with that build

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<v Speaker 8>ut segment yet, but you know, a piece of the

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<v Speaker 8>questions you're starting to ask yourself is particularly as it

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<v Speaker 8>relates to data centers and some of the other things

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<v Speaker 8>that are going on. It's great if you can put

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<v Speaker 8>them up, if you can put a side, then not

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<v Speaker 8>in my backyard, and sorts of pushback you're getting in

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<v Speaker 8>some of those, but then when you're getting told it's

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<v Speaker 8>going to take five or six years to hook it

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<v Speaker 8>to the grid. So there's lots of different ways to

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<v Speaker 8>play the hardware and the buildout and who's got capacity

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<v Speaker 8>and able to do it. But there's a whole other

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<v Speaker 8>segment of bringing in some of the reshoring activities that

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<v Speaker 8>are going on as well.

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<v Speaker 2>Carol, it's got to that time of the show where

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<v Speaker 2>I ask you the impossible question, what happens next in

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<v Speaker 2>the balance of twenty twenty five for the technology sector?

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<v Speaker 2>Your big predictions, please, We.

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<v Speaker 8>Do think that you'll see continued grind higher. I mean,

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<v Speaker 8>markets have been climbing a wall of worry technology as

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<v Speaker 8>well all year, and we think you'll see a continued

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<v Speaker 8>sort of grudging climb higher. You know, many company managements

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<v Speaker 8>have told us they're nauseously optimistic for this final quarter,

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<v Speaker 8>and I would think we're in that camp too.

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<v Speaker 2>Carol's life a bemo private wealth. It's great to have

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<v Speaker 2>you back on the show and we always appreciate a prediction.

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<v Speaker 2>Thank you very much. Now we have some breaking news

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<v Speaker 2>crossing the Bloomberg time or. Rhode Island and Connecticut have

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<v Speaker 2>sued the Trump administration over the administration order blocking further

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<v Speaker 2>construction of a nearly completed offshore wind palm, which was

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<v Speaker 2>meant to provide power to the two New England states.

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<v Speaker 2>You'll remember, Carra, August twenty second, the administration issued that

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<v Speaker 2>stop work order. We also had the companies involved have

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<v Speaker 2>a parallel suit against the US in order that the

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<v Speaker 2>wind farm work can continue. But the breaking news right

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<v Speaker 2>now is that Rhode Island and Connecticut, two of the

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<v Speaker 2>New England states, participating in a suit against the administration,

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<v Speaker 2>trying to get the judge to allow that work to

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<v Speaker 2>move forward.

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<v Speaker 4>What we got next future.

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<v Speaker 5>Of energy is important to AI. We go back to

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<v Speaker 5>aied coming up, Apple looking to go toe to toe

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<v Speaker 5>with Open AI. Of course company it has a partnership with,

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<v Speaker 5>but it's launching its own AI web search, integrating it

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<v Speaker 5>in SyRI.

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<v Speaker 4>We'll dig into that next. This is Bloomberg Tech.

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<v Speaker 5>Apple said to be launching its own AI web search

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<v Speaker 5>tool integrated into Siri, basically rivaling the likes of Open AI.

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<v Speaker 5>Of Perplexity megs Mark German joins us, Now, it is

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<v Speaker 5>such a thoroughly reported piece you put out yesterday and

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<v Speaker 5>moved the stock. What's interesting is who's going to be

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<v Speaker 5>helping build the underlying LLM and generator of AI within it.

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<v Speaker 5>And it's not Perplexity, and it's seemingly not anthropic either.

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<v Speaker 6>Yeah, that's right. We've known for some time that Apple's

0:11:43.600 --> 0:11:46.960
<v Speaker 6>launching an overhauled version of Siri around March. This is

0:11:47.000 --> 0:11:49.960
<v Speaker 6>going to include delayed features like the ability to tap

0:11:50.000 --> 0:11:53.960
<v Speaker 6>into your personal data to fulfill queries. Obviously it's surprising

0:11:54.000 --> 0:11:57.040
<v Speaker 6>it couldn't do that till now after launching fifteen years ago.

0:11:57.440 --> 0:12:00.280
<v Speaker 6>But the feature that we didn't know was coming until

0:12:00.320 --> 0:12:04.800
<v Speaker 6>yesterday is an AI web search tool, sort of an

0:12:04.840 --> 0:12:09.599
<v Speaker 6>answer engine. Siri right now is able to answer questions,

0:12:09.760 --> 0:12:13.240
<v Speaker 6>broad strokes of information it can provide, can control your phone,

0:12:13.640 --> 0:12:16.200
<v Speaker 6>send messages, and what have you. What it doesn't do

0:12:16.280 --> 0:12:18.920
<v Speaker 6>well is tap into the open web to get information

0:12:19.160 --> 0:12:21.120
<v Speaker 6>and to still it down for you in the way

0:12:21.160 --> 0:12:24.760
<v Speaker 6>that AI search engines today can do things like perplexity,

0:12:24.800 --> 0:12:27.840
<v Speaker 6>things like CHATCHGPT. So now Apple will be launching their

0:12:27.840 --> 0:12:30.679
<v Speaker 6>own answer engine that's going to come in March as

0:12:30.720 --> 0:12:33.280
<v Speaker 6>part of an update called iOS twenty six point four,

0:12:33.679 --> 0:12:36.719
<v Speaker 6>and over time I anticipate them to integrate it into Safari,

0:12:36.800 --> 0:12:40.440
<v Speaker 6>into Spotlight and other parts of its operating systems. You know,

0:12:40.559 --> 0:12:43.000
<v Speaker 6>Google Search is very important to Apple. It makes them

0:12:43.160 --> 0:12:47.080
<v Speaker 6>roughly twenty billion plus per year. But the industry is shifting.

0:12:47.360 --> 0:12:49.559
<v Speaker 6>You know, how many times are you going to Google

0:12:49.600 --> 0:12:52.319
<v Speaker 6>Search right now? Probably fewer than you used to a

0:12:52.400 --> 0:12:55.600
<v Speaker 6>lot of people are doing their searches from CHATCHGPT or perplexity.

0:12:55.840 --> 0:12:58.720
<v Speaker 6>It's an increasing number of people. So this is important

0:12:58.720 --> 0:12:59.720
<v Speaker 6>for Apple for its long term.

0:12:59.760 --> 0:13:03.640
<v Speaker 2>Few world knowledge answers is just one part. You know,

0:13:03.679 --> 0:13:06.360
<v Speaker 2>you're reporting shows us what the market has actually been

0:13:06.400 --> 0:13:09.679
<v Speaker 2>asking for, which is when this revamp SERI comes as

0:13:09.679 --> 0:13:14.400
<v Speaker 2>a package, so spring next year. I see basically three parts, right,

0:13:14.440 --> 0:13:18.240
<v Speaker 2>a Siri redesign, a health AI subscription service, and then

0:13:18.280 --> 0:13:21.079
<v Speaker 2>some conversational features on the home devices which we've discussed

0:13:21.080 --> 0:13:23.400
<v Speaker 2>on the show What are we waiting for? That's coming

0:13:23.480 --> 0:13:23.920
<v Speaker 2>in March?

0:13:23.960 --> 0:13:28.040
<v Speaker 6>Mark in total, So what's coming in March is this

0:13:28.120 --> 0:13:31.240
<v Speaker 6>AI search product I mentioned. The ability to tap into

0:13:31.280 --> 0:13:34.440
<v Speaker 6>personal data to fulfill queries, things like who did I

0:13:34.480 --> 0:13:37.280
<v Speaker 6>meet with a month ago? What song did ED text

0:13:37.320 --> 0:13:41.000
<v Speaker 6>me last week? The ability to fulfill queries based on

0:13:41.000 --> 0:13:43.240
<v Speaker 6>on screen content. You're looking at a picture of someone,

0:13:43.280 --> 0:13:46.240
<v Speaker 6>tell me more. And then you have voice based navigation,

0:13:46.360 --> 0:13:48.840
<v Speaker 6>so using your voice to control your phone, move around

0:13:48.880 --> 0:13:53.040
<v Speaker 6>your operating system, telling Siri to like something on Instagram.

0:13:53.200 --> 0:13:56.680
<v Speaker 6>Later in the year, you'll see the Health Plus subscription service,

0:13:56.920 --> 0:14:00.280
<v Speaker 6>which is basically an AI agent for health. And you're

0:14:00.280 --> 0:14:03.040
<v Speaker 6>also going to see a visual redesign for Siri later

0:14:03.120 --> 0:14:05.719
<v Speaker 6>next year, and then the year after is likely when

0:14:05.720 --> 0:14:08.800
<v Speaker 6>you're going to see the conversational Siri tied to that

0:14:08.920 --> 0:14:13.160
<v Speaker 6>new robotic home device, the tabletop Robot, which is essentially

0:14:13.559 --> 0:14:16.600
<v Speaker 6>a virtual person to have in your workspace to help

0:14:16.640 --> 0:14:18.040
<v Speaker 6>you get things done throughout your day.

0:14:18.880 --> 0:14:23.320
<v Speaker 5>So my question is, first, ed, what song did you

0:14:23.800 --> 0:14:25.000
<v Speaker 5>message Mark German?

0:14:25.760 --> 0:14:26.000
<v Speaker 10>Was it?

0:14:26.040 --> 0:14:28.160
<v Speaker 2>I believe it was, Yeah, it was Pink Pony Club.

0:14:28.200 --> 0:14:31.680
<v Speaker 2>That's no surprise any regular followers on social media. But

0:14:31.720 --> 0:14:33.760
<v Speaker 2>I'm interested, Like you know, when I look at how

0:14:33.840 --> 0:14:37.080
<v Speaker 2>Siri works right now, or Apple Intelligence, it summarizes what's

0:14:37.080 --> 0:14:39.160
<v Speaker 2>in my email. It often will be like, here's your

0:14:39.160 --> 0:14:42.000
<v Speaker 2>Spotify playlist of the day. Spotify sends updates as well.

0:14:42.160 --> 0:14:43.440
<v Speaker 2>What would you have sent, Mark Carrot?

0:14:44.600 --> 0:14:47.200
<v Speaker 5>What would I have sent? I? Did you see Oasis?

0:14:47.440 --> 0:14:50.520
<v Speaker 5>So probably an Oasis song? But Mark Brawley, the question

0:14:50.560 --> 0:14:52.640
<v Speaker 5>that I'm also going to ask you is, therefore I

0:14:52.720 --> 0:14:56.280
<v Speaker 5>go back to the underlying technology here, the relationship between

0:14:56.320 --> 0:14:58.680
<v Speaker 5>Google and Apple. We've just had such an update on

0:14:58.720 --> 0:14:59.560
<v Speaker 5>it from Judge.

0:14:59.280 --> 0:14:59.960
<v Speaker 4>Meta this week.

0:15:00.240 --> 0:15:02.120
<v Speaker 5>That's going to be integral for what's going to be

0:15:02.120 --> 0:15:04.400
<v Speaker 5>building the underlying technology for this product.

0:15:04.480 --> 0:15:07.000
<v Speaker 6>Right Ah, Yes, you asked me that earlier.

0:15:07.000 --> 0:15:12.240
<v Speaker 5>I did not answer the question, So.

0:15:10.640 --> 0:15:11.080
<v Speaker 11>Go for it.

0:15:11.200 --> 0:15:11.520
<v Speaker 10>Yes.

0:15:12.000 --> 0:15:15.640
<v Speaker 6>So Apple has talked to open Ai and Thropic and

0:15:15.800 --> 0:15:19.600
<v Speaker 6>Google most recently to partner with them to rebuild Siri

0:15:19.880 --> 0:15:22.800
<v Speaker 6>as one of the components underlying the new Serie engine,

0:15:23.240 --> 0:15:25.240
<v Speaker 6>and a lot of signs right now are pointing to

0:15:25.320 --> 0:15:28.520
<v Speaker 6>them working with Gemini. Google has built a model for them.

0:15:28.960 --> 0:15:31.560
<v Speaker 6>The two companies signed an agreement earlier this week a

0:15:31.640 --> 0:15:34.720
<v Speaker 6>formal evaluation agreement. This doesn't mean they have a commercial agreement.

0:15:34.920 --> 0:15:37.960
<v Speaker 6>That means they've agreed for Apple to evaluate a model.

0:15:38.600 --> 0:15:41.960
<v Speaker 6>They're fine tuning it, and they're heavily considering it. They've

0:15:42.040 --> 0:15:46.080
<v Speaker 6>also considered Anthropic very heavily, and they still are for

0:15:46.160 --> 0:15:49.640
<v Speaker 6>different parts of Siri. The problem is is that Anthropic

0:15:49.720 --> 0:15:51.880
<v Speaker 6>wants north of one point five billion a year and

0:15:51.880 --> 0:15:54.600
<v Speaker 6>then revenue number that's going to escalate annually for the

0:15:54.640 --> 0:15:58.480
<v Speaker 6>next three years, and that is a pretty a very

0:15:58.520 --> 0:16:01.560
<v Speaker 6>big dollar amount to pay for technology like this. In

0:16:01.600 --> 0:16:04.760
<v Speaker 6>Apple's mind, they feel they have little leverage here, and

0:16:04.880 --> 0:16:07.400
<v Speaker 6>Google's a longtime partner and obviously that partnership is going

0:16:07.440 --> 0:16:09.960
<v Speaker 6>to continue, so it all seems to fit. So we'll

0:16:09.960 --> 0:16:12.400
<v Speaker 6>see what ends up happening, but I'm thinking Google.

0:16:12.120 --> 0:16:12.600
<v Speaker 10>As of now.

0:16:13.600 --> 0:16:16.800
<v Speaker 2>Bloomberg's Mark German, who, as Cary said, very detailed report

0:16:16.840 --> 0:16:19.960
<v Speaker 2>on what happens next with Siri, Thank you very much. Meanwhile,

0:16:20.000 --> 0:16:23.120
<v Speaker 2>open AI rival deep Seek's said to be developing an

0:16:23.160 --> 0:16:26.280
<v Speaker 2>AI model with more advanced AI agent features. I want

0:16:26.280 --> 0:16:28.840
<v Speaker 2>to get out to our AI editor Bloomberg Seth Figureman.

0:16:29.400 --> 0:16:32.480
<v Speaker 2>Very interesting story that Bloomberg broke because like deep Seek,

0:16:32.720 --> 0:16:35.760
<v Speaker 2>actually despite the sort of volatility of April, which deep

0:16:35.800 --> 0:16:39.000
<v Speaker 2>Seat calls in markets. It moves slower than some of

0:16:39.000 --> 0:16:41.760
<v Speaker 2>the other Chinese names working on models, but the whole

0:16:41.800 --> 0:16:44.120
<v Speaker 2>point is that this is a gentic AI. They want

0:16:44.120 --> 0:16:45.640
<v Speaker 2>something that goes beyond the chatbot.

0:16:46.080 --> 0:16:47.720
<v Speaker 12>Yeah, that's right. I think we've all been a little

0:16:47.760 --> 0:16:50.400
<v Speaker 12>bit surprised at how little we've heard from deep Seek

0:16:50.400 --> 0:16:53.280
<v Speaker 12>in the last eight months since up ended the markets.

0:16:53.320 --> 0:16:56.200
<v Speaker 12>We've seen a lot of products from Chinese and US rivals,

0:16:56.480 --> 0:16:57.960
<v Speaker 12>and there's a lot of speculation mat what's going on

0:16:58.000 --> 0:17:00.080
<v Speaker 12>behind the scenes. There are other challenges that might be facing,

0:17:00.120 --> 0:17:02.640
<v Speaker 12>but what we've hurt and reported today is that its

0:17:02.640 --> 0:17:04.840
<v Speaker 12>focus is really trying to make a splash in the

0:17:04.880 --> 0:17:06.919
<v Speaker 12>agent market. And you know, for viewers here, this has

0:17:06.960 --> 0:17:09.679
<v Speaker 12>really been where the tech industry has shifted to in

0:17:09.720 --> 0:17:12.439
<v Speaker 12>the last six months or so. Open the eye, Anthropic,

0:17:12.560 --> 0:17:15.679
<v Speaker 12>Google and others are all pushing out AI agent products.

0:17:15.720 --> 0:17:17.720
<v Speaker 12>I think what Deepseeek is trying to do is basically

0:17:18.119 --> 0:17:21.359
<v Speaker 12>build a new model that has agentic capabilities you know,

0:17:21.440 --> 0:17:24.280
<v Speaker 12>embeded within it so that it can field more complex,

0:17:24.760 --> 0:17:28.560
<v Speaker 12>multi step tasks on your behalf with minimal intervention. Again,

0:17:28.640 --> 0:17:30.119
<v Speaker 12>a lot of companies are trying to do this, and

0:17:30.160 --> 0:17:33.560
<v Speaker 12>we are seeing very mixed range of execution here, and

0:17:33.640 --> 0:17:35.800
<v Speaker 12>it seems like deep Sea probably wants to make sure

0:17:35.800 --> 0:17:38.359
<v Speaker 12>they put out something that will move the needle in

0:17:38.440 --> 0:17:39.880
<v Speaker 12>this potentially crowded market.

0:17:40.440 --> 0:17:44.520
<v Speaker 5>But the crowding really for deep Seek is its popularity

0:17:44.520 --> 0:17:46.960
<v Speaker 5>in China. At the moment, is still the most popular

0:17:47.080 --> 0:17:50.440
<v Speaker 5>chatbot tool. But as we say, Ali Baba Tencent, they've

0:17:50.480 --> 0:17:53.119
<v Speaker 5>just had a rapid rate of innovations in their models.

0:17:53.119 --> 0:17:55.040
<v Speaker 4>When do we anticipate R two will come out?

0:17:55.240 --> 0:17:56.919
<v Speaker 12>Yeah, so again we gotta know if this one is

0:17:57.040 --> 0:17:58.640
<v Speaker 12>R two, but this model is supposed to come out

0:17:58.640 --> 0:18:00.840
<v Speaker 12>before the end of the Year's interesting though, is that

0:18:00.880 --> 0:18:03.600
<v Speaker 12>Ali Baba tends up the ones you mentioned haven't been

0:18:03.720 --> 0:18:06.199
<v Speaker 12>as active I think in the agent marketplace. I mean,

0:18:06.240 --> 0:18:08.640
<v Speaker 12>they're doing a lot of image and digo generation technology,

0:18:08.680 --> 0:18:12.000
<v Speaker 12>a lot of more sophisticated chatbots manners which we and

0:18:12.040 --> 0:18:15.800
<v Speaker 12>others have covered, which is originally from Chinese origin, but

0:18:15.840 --> 0:18:17.720
<v Speaker 12>now trying to move into Singapore. They have made a

0:18:17.720 --> 0:18:19.760
<v Speaker 12>bigger splash with agent products, So there might be a

0:18:19.800 --> 0:18:22.879
<v Speaker 12>bigger market within China and globally if deep Sea can

0:18:22.920 --> 0:18:24.920
<v Speaker 12>do something competitive on the agent front. But it's hard

0:18:24.960 --> 0:18:27.199
<v Speaker 12>to say right now how much it'll be different from

0:18:27.240 --> 0:18:27.879
<v Speaker 12>what's out there.

0:18:28.200 --> 0:18:30.440
<v Speaker 4>Seth Fiegerman breaking it down on Deep Seat. We so

0:18:30.600 --> 0:18:37.199
<v Speaker 4>appreciate it.

0:18:37.200 --> 0:18:39.240
<v Speaker 5>It is time now for talking tech and first up.

0:18:39.240 --> 0:18:40.400
<v Speaker 4>Red Note so its.

0:18:40.320 --> 0:18:43.240
<v Speaker 5>Valuation served nineteen percent in just three months.

0:18:43.320 --> 0:18:45.359
<v Speaker 4>I think thirty one billion dollars now. The social media

0:18:45.400 --> 0:18:47.320
<v Speaker 4>firm emerged the year this year.

0:18:47.280 --> 0:18:50.639
<v Speaker 5>As a real viable competitor to TikTok, which faces threats

0:18:50.640 --> 0:18:52.679
<v Speaker 5>of a ban in the United States. Remember some Red

0:18:52.760 --> 0:18:56.280
<v Speaker 5>Note investors anticipate in an imminent IPO plus s k

0:18:56.440 --> 0:18:58.919
<v Speaker 5>Heinex is set to pay two week seven billion dollars

0:18:58.920 --> 0:19:02.200
<v Speaker 5>in bonuses to twelve labour tensions. Now, the company's labor

0:19:02.240 --> 0:19:05.520
<v Speaker 5>union has improven landmark agreement allocating ten percent of the

0:19:05.520 --> 0:19:09.000
<v Speaker 5>company's annual profitence to a bonus pool of its thirty

0:19:09.000 --> 0:19:12.240
<v Speaker 5>three thousand, six and twenty five employees. For twenty twenty

0:19:12.320 --> 0:19:15.880
<v Speaker 5>five alone, employees could receive only eighty thousand.

0:19:15.600 --> 0:19:16.960
<v Speaker 4>Dollars in bonus.

0:19:17.200 --> 0:19:19.720
<v Speaker 5>And in Vidia's venture capital arm is set to invest

0:19:19.920 --> 0:19:22.280
<v Speaker 5>in Honeywell's Quantinum for.

0:19:22.280 --> 0:19:22.920
<v Speaker 4>The first time.

0:19:23.200 --> 0:19:25.359
<v Speaker 5>In Vidier is the latest big name backer behind the

0:19:25.440 --> 0:19:28.800
<v Speaker 5>quantum computing company with the latest investment set to value

0:19:28.880 --> 0:19:31.680
<v Speaker 5>quantinum at ten million dollars ed.

0:19:32.640 --> 0:19:35.119
<v Speaker 2>All right, this week British finance app Revelue offered a

0:19:35.200 --> 0:19:37.840
<v Speaker 2>secondary share sale with a seventy five billion dollar valuation.

0:19:37.880 --> 0:19:40.520
<v Speaker 2>We covered it on the show Bloomberg's learned that Revolute

0:19:40.520 --> 0:19:44.400
<v Speaker 2>is putting in extra work to remain private while retaining

0:19:44.440 --> 0:19:47.120
<v Speaker 2>talent and appease some of its VC backers. Let's get

0:19:47.119 --> 0:19:49.840
<v Speaker 2>out to bloombost Tom Metcalfe, who's been following the company.

0:19:50.240 --> 0:19:53.600
<v Speaker 2>So this is like some financial engineering, like different valuations

0:19:53.600 --> 0:19:56.560
<v Speaker 2>on different transactions. But there is one big point here,

0:19:56.560 --> 0:19:58.560
<v Speaker 2>which is that Revolute wants to stay private.

0:19:58.720 --> 0:20:03.880
<v Speaker 11>Why yeah, exactly exactly that it's the age old story

0:20:03.960 --> 0:20:05.520
<v Speaker 11>of you know, get you get a little bit more

0:20:05.560 --> 0:20:08.560
<v Speaker 11>flexibility as a private company, and if you can put

0:20:08.560 --> 0:20:10.960
<v Speaker 11>off quite a tricky task of keeping those investors happy

0:20:11.040 --> 0:20:14.320
<v Speaker 11>your employees happy as well, then you're able to I think,

0:20:14.359 --> 0:20:16.880
<v Speaker 11>do you get a competitive of entries against any public peers.

0:20:17.920 --> 0:20:19.879
<v Speaker 11>You know, it's very few sort of startups that can

0:20:19.960 --> 0:20:22.040
<v Speaker 11>do this. They always grab the attention. But you know,

0:20:22.080 --> 0:20:24.560
<v Speaker 11>it's that blend valuation that's really interesting. There is a

0:20:24.560 --> 0:20:26.959
<v Speaker 11>little bit of kind of give and take here, like

0:20:27.119 --> 0:20:29.400
<v Speaker 11>on the primary they again given out a lower evaluation,

0:20:29.880 --> 0:20:32.720
<v Speaker 11>employees get a pretty decent one, and then they actually

0:20:32.720 --> 0:20:35.399
<v Speaker 11>are buying back some shares from a very select class

0:20:35.400 --> 0:20:37.720
<v Speaker 11>of investors at a different valuation as well, and.

0:20:37.720 --> 0:20:39.400
<v Speaker 4>A forty five billion dollar valuation.

0:20:39.560 --> 0:20:41.719
<v Speaker 5>But that's probably a lot of upside if you've been

0:20:41.760 --> 0:20:45.320
<v Speaker 5>a very early investor. But more broadly, I mean you

0:20:45.440 --> 0:20:49.640
<v Speaker 5>cover the billionaires here, right, the CEO really does seem

0:20:49.640 --> 0:20:51.920
<v Speaker 5>to be up there in terms of his own valuation

0:20:52.040 --> 0:20:52.800
<v Speaker 5>as a billionaire.

0:20:52.800 --> 0:20:55.040
<v Speaker 4>Now, yeah, exactly.

0:20:55.080 --> 0:20:57.679
<v Speaker 11>I mean I remember, gosh's been years now since been

0:20:57.680 --> 0:21:00.480
<v Speaker 11>tracking these folks, and you know, when Stronsky came out,

0:21:00.520 --> 0:21:03.200
<v Speaker 11>you've seen Revolute go through a whole range of valuations.

0:21:03.240 --> 0:21:05.520
<v Speaker 11>But unlike Klana, which is sort of the earlier of

0:21:05.520 --> 0:21:07.920
<v Speaker 11>hearing startup, I always kind of compare it with those

0:21:07.920 --> 0:21:10.320
<v Speaker 11>paper valuations. It should be clear they're on paper, so

0:21:10.760 --> 0:21:13.040
<v Speaker 11>you know, until that crystallizes, it's a long way off,

0:21:13.080 --> 0:21:15.240
<v Speaker 11>like kind of money in the bank, I suppose. But

0:21:15.280 --> 0:21:17.920
<v Speaker 11>whereas Clara had a very much roller coaster riders now

0:21:17.960 --> 0:21:20.600
<v Speaker 11>just about to IPO, Revolute always seem to be in

0:21:20.640 --> 0:21:22.679
<v Speaker 11>a position where it could pick and choose when it

0:21:22.680 --> 0:21:24.639
<v Speaker 11>could go out for new money. So its valuation has

0:21:24.720 --> 0:21:27.880
<v Speaker 11>very much been steady or in recent years or even

0:21:27.920 --> 0:21:30.640
<v Speaker 11>months as jump. So it was thirty three billion, then

0:21:30.680 --> 0:21:33.640
<v Speaker 11>forty five, that's hits sixty five and now seventy five.

0:21:33.680 --> 0:21:35.280
<v Speaker 11>But that's on a second evaluation.

0:21:35.320 --> 0:21:38.800
<v Speaker 5>Of course, next Toron Sky two hundred and first richest person.

0:21:38.920 --> 0:21:41.520
<v Speaker 5>If you're basing it on that seventy five billion dollar valuation,

0:21:41.880 --> 0:21:50.480
<v Speaker 5>Bloomberg's Tom Metcalf brilliant to have you, Thank you, Welcome.

0:21:50.119 --> 0:21:51.000
<v Speaker 4>Back to Bloomberg Tech.

0:21:51.080 --> 0:21:53.520
<v Speaker 5>Let's get straight to earnings now, because shares of HPE

0:21:53.640 --> 0:21:56.920
<v Speaker 5>they are training higher throughout this morning. The company reporting

0:21:57.040 --> 0:22:00.440
<v Speaker 5>fiscal third quarter earnings that did show operating margin and

0:22:00.520 --> 0:22:02.920
<v Speaker 5>the serving unit had narrowed, but the CEO Antonio and

0:22:03.000 --> 0:22:05.119
<v Speaker 5>Arry on the call telling investors, look, it's going to

0:22:05.119 --> 0:22:07.280
<v Speaker 5>return to roughly ten percent by the end of the

0:22:07.320 --> 0:22:09.680
<v Speaker 5>current period. Well, now we've got him here to explain

0:22:09.720 --> 0:22:12.600
<v Speaker 5>a little bit more. HPE CEO Antonio n Airy. We

0:22:12.840 --> 0:22:15.000
<v Speaker 5>get into how you're building out this business, how Juniper

0:22:15.040 --> 0:22:18.000
<v Speaker 5>adds to the networking side, but for now, the AI systems,

0:22:18.080 --> 0:22:21.360
<v Speaker 5>the server unit, how is profitability to improve?

0:22:22.800 --> 0:22:25.639
<v Speaker 13>Well, good morning, Caareran thanks for having me. We are

0:22:25.720 --> 0:22:28.960
<v Speaker 13>very pleased with our quarter. It turned out to be

0:22:29.160 --> 0:22:33.119
<v Speaker 13>very solid with record breaking performance on revenue and we

0:22:33.200 --> 0:22:37.280
<v Speaker 13>expand the profitability sequentially. And to your question around the

0:22:37.320 --> 0:22:40.480
<v Speaker 13>server segment, we deliver what we say we will do.

0:22:40.960 --> 0:22:44.320
<v Speaker 13>But most importantly, our traditional server business return it to

0:22:44.320 --> 0:22:47.960
<v Speaker 13>a historical level. And so when I think about you four,

0:22:48.600 --> 0:22:52.040
<v Speaker 13>we're going to see a return to approximately ten percent

0:22:52.119 --> 0:22:55.320
<v Speaker 13>for the quarter because of the momentum in traditional servers,

0:22:55.560 --> 0:22:57.760
<v Speaker 13>which by the way, group double digits here over here,

0:22:58.119 --> 0:23:01.639
<v Speaker 13>and the balance of AI mix between sovere and an

0:23:01.720 --> 0:23:05.200
<v Speaker 13>enterprise which now represents more than fifty percent of our

0:23:05.359 --> 0:23:07.600
<v Speaker 13>orders compared to the service providers.

0:23:08.440 --> 0:23:11.439
<v Speaker 4>So the AI serve a bit is that to improve?

0:23:11.480 --> 0:23:15.480
<v Speaker 5>How well broadly is the AI system's profitability improving as

0:23:15.480 --> 0:23:18.480
<v Speaker 5>we see this monumental buildout of infrastructure.

0:23:20.000 --> 0:23:22.400
<v Speaker 13>Well, as I think about the AI servers, I think

0:23:22.400 --> 0:23:26.200
<v Speaker 13>it's important character to think about different customer types and

0:23:26.240 --> 0:23:29.840
<v Speaker 13>how we participate in each of the segments. So we

0:23:29.840 --> 0:23:32.720
<v Speaker 13>think about the service providers and the hyper scales and

0:23:32.720 --> 0:23:35.680
<v Speaker 13>the mother buildings where a lot of the capital expenses

0:23:35.960 --> 0:23:39.000
<v Speaker 13>are taking place. To your point, we are now going

0:23:39.040 --> 0:23:42.479
<v Speaker 13>to lead. We're networking for AI. We are extremely pleased

0:23:42.520 --> 0:23:46.520
<v Speaker 13>we close the Juniper transaction. Junior is already a reference

0:23:46.600 --> 0:23:49.600
<v Speaker 13>in many of those buildouts, and that's where how we're

0:23:49.600 --> 0:23:52.120
<v Speaker 13>going to lead in that particular segment of the market.

0:23:52.359 --> 0:23:55.960
<v Speaker 13>And we're going to sell the server compute platforms whether

0:23:55.960 --> 0:23:59.000
<v Speaker 13>our partner where it makes sense from a profitability perspective.

0:23:59.240 --> 0:24:01.919
<v Speaker 13>But what we saw in the last couple of quarters

0:24:01.920 --> 0:24:06.400
<v Speaker 13>in particular discorder, sovereign and neoclouds and enterprise now represent

0:24:06.480 --> 0:24:09.880
<v Speaker 13>more than sixty percent of the market. There, we participate

0:24:09.960 --> 0:24:13.600
<v Speaker 13>in a slightly different approach which the market profile is different.

0:24:13.920 --> 0:24:16.520
<v Speaker 13>We lead with a rack scale integrated architecture for the

0:24:16.560 --> 0:24:20.080
<v Speaker 13>sovereign space, and we lead with an integrated solution for

0:24:20.280 --> 0:24:26.000
<v Speaker 13>enterprise Enterprise group for the seventh Conservative quarder and we

0:24:26.119 --> 0:24:28.679
<v Speaker 13>double the number of logos. And then in sovereign we

0:24:28.760 --> 0:24:30.959
<v Speaker 13>grew more than two hundred and fifty percent. And we

0:24:31.000 --> 0:24:32.960
<v Speaker 13>want some marquee deals in the Middle.

0:24:32.680 --> 0:24:36.479
<v Speaker 2>East, Antonio, that might be the answer. Actually, I've studied

0:24:36.480 --> 0:24:40.120
<v Speaker 2>the traditional server business and the storage business, and you're

0:24:40.119 --> 0:24:44.760
<v Speaker 2>doing better than your peers Dell net app. But why

0:24:44.800 --> 0:24:47.960
<v Speaker 2>are the dynamics better for you when you have these

0:24:48.000 --> 0:24:51.520
<v Speaker 2>analogous businesses with those other names I mentioned.

0:24:52.920 --> 0:24:59.320
<v Speaker 13>Is multiple things. First, in the enterprise traditional server, we

0:24:59.440 --> 0:25:04.439
<v Speaker 13>see a refreshed cycle taking place or age infrastructure with

0:25:04.560 --> 0:25:08.840
<v Speaker 13>more richly configured servers. And we have two phenomenal platforms

0:25:09.080 --> 0:25:12.000
<v Speaker 13>which is HP pro I and Jene eleven and Gene twelve.

0:25:12.520 --> 0:25:16.440
<v Speaker 13>We did a fantastic job in really hitting the sweet

0:25:16.480 --> 0:25:20.560
<v Speaker 13>spot to the market with better performance per core, lower

0:25:20.760 --> 0:25:25.240
<v Speaker 13>energy consumption, better security, quantum proof for the maother and

0:25:25.640 --> 0:25:29.439
<v Speaker 13>two worldad optimization. And so now as we go to

0:25:29.480 --> 0:25:33.159
<v Speaker 13>the June twelve that AUP continues to growth and the

0:25:33.200 --> 0:25:38.240
<v Speaker 13>ability to attach services is much higher. As I go

0:25:38.400 --> 0:25:42.520
<v Speaker 13>to the storage business, we really transform the entire industry

0:25:42.520 --> 0:25:46.560
<v Speaker 13>in my mind by deploying a consistent architecture, whether it

0:25:46.640 --> 0:25:50.280
<v Speaker 13>is structural data block storage, or whether it is obstructural

0:25:50.359 --> 0:25:54.159
<v Speaker 13>data which you need for AI. And that's what we

0:25:54.240 --> 0:25:57.480
<v Speaker 13>call the object data with file ingestion, so the customer

0:25:57.520 --> 0:26:01.200
<v Speaker 13>can do one one investment with a peace of mind

0:26:01.359 --> 0:26:04.879
<v Speaker 13>as they grow their data needs for AI. So I

0:26:04.920 --> 0:26:08.159
<v Speaker 13>think that's what's resonating in the market. But often we

0:26:08.200 --> 0:26:10.840
<v Speaker 13>have a fantastic go to market. We play in one

0:26:10.920 --> 0:26:13.400
<v Speaker 13>hundred and seventy two countries and that reach together whether

0:26:13.480 --> 0:26:16.440
<v Speaker 13>partner is a major differentiation. In addition to the fact

0:26:16.440 --> 0:26:19.720
<v Speaker 13>that Green Lake provides through AI dream and life cycle

0:26:19.800 --> 0:26:21.920
<v Speaker 13>management serpability.

0:26:22.320 --> 0:26:25.359
<v Speaker 2>Those are the things specific to you, Antony, Would you

0:26:25.359 --> 0:26:31.200
<v Speaker 2>give me an outlook for enterprise IT spending and because

0:26:31.240 --> 0:26:33.399
<v Speaker 2>we have a lot of macro uncertainty right now, and

0:26:33.440 --> 0:26:37.640
<v Speaker 2>you must see in the pipeline that how that uncertainty

0:26:37.800 --> 0:26:39.160
<v Speaker 2>is really manifesting.

0:26:40.960 --> 0:26:44.600
<v Speaker 13>I was based on our pipeline. First of all, is

0:26:44.680 --> 0:26:48.720
<v Speaker 13>solid across the three segments we participate in networking, server,

0:26:48.920 --> 0:26:53.360
<v Speaker 13>and hybrid cloud. It is uniform across the three geos.

0:26:54.520 --> 0:26:57.359
<v Speaker 13>There was another question in another interview, did how North

0:26:57.359 --> 0:27:01.040
<v Speaker 13>America versus oldiers are doing North America very very well

0:27:01.080 --> 0:27:05.040
<v Speaker 13>for us this quarter? And so I think the demand

0:27:05.160 --> 0:27:09.040
<v Speaker 13>will continue to be there. Every enterprise have to modernize

0:27:09.400 --> 0:27:12.440
<v Speaker 13>and deploy AI. We as a company are deploy AI

0:27:12.840 --> 0:27:17.160
<v Speaker 13>very extensively. We see the productivity improvements across many functions

0:27:17.160 --> 0:27:20.600
<v Speaker 13>and many businesses, so that will continue. But at the

0:27:20.600 --> 0:27:23.840
<v Speaker 13>same time, there is a way to modernize the legacy

0:27:24.119 --> 0:27:26.639
<v Speaker 13>by freeing up space, power and cooling so you can

0:27:26.680 --> 0:27:30.520
<v Speaker 13>deploy this new technology. So we are very confident about

0:27:30.560 --> 0:27:34.600
<v Speaker 13>the outlook, and with Juniper, that outlook becomes even stronger

0:27:35.000 --> 0:27:38.840
<v Speaker 13>because now we have a complete portfolio networking that makes

0:27:38.960 --> 0:27:41.440
<v Speaker 13>us unique as we want to build the best networking

0:27:41.480 --> 0:27:45.960
<v Speaker 13>business in a modern, secure, cloud, native and AI driven portfolio.

0:27:46.160 --> 0:27:48.120
<v Speaker 4>And you're expecting to cut costs.

0:27:48.240 --> 0:27:50.400
<v Speaker 5>I think we're seeing six hundred million dollars in cost

0:27:50.400 --> 0:27:53.639
<v Speaker 5>savings are expected by that combination, Antonio. Cost savings are

0:27:53.640 --> 0:27:56.000
<v Speaker 5>necessary for many businesses right now as you think about

0:27:56.040 --> 0:27:59.240
<v Speaker 5>some of the pressure from tariffs, your bird's eye perspective

0:27:59.280 --> 0:28:03.200
<v Speaker 5>on how much that's implicating your business right now.

0:28:04.119 --> 0:28:07.400
<v Speaker 13>You have to have a mindset of continuously transform the company.

0:28:07.680 --> 0:28:10.879
<v Speaker 13>That's a fact, and you know the future belongs to

0:28:10.920 --> 0:28:14.920
<v Speaker 13>the fastest said all the time. But the at least

0:28:14.960 --> 0:28:18.520
<v Speaker 13>six hundred million dollars in synergies is related just to

0:28:18.560 --> 0:28:24.280
<v Speaker 13>the Juniper transaction, and are re iterated that yesterday and

0:28:24.320 --> 0:28:26.879
<v Speaker 13>then there is an incremental three hundred and fifty million

0:28:26.920 --> 0:28:31.760
<v Speaker 13>dollars through three key strategic levers. Continue to optimize our portfolio,

0:28:32.400 --> 0:28:36.600
<v Speaker 13>continue to optimize the workforce, and aggressively deploy this set

0:28:36.640 --> 0:28:40.040
<v Speaker 13>of technologies and other core is not just a cost

0:28:40.080 --> 0:28:43.280
<v Speaker 13>take out, is a way to improve the experiences and

0:28:43.360 --> 0:28:47.160
<v Speaker 13>become more efficient and agile in this market which you

0:28:47.240 --> 0:28:50.120
<v Speaker 13>have to react and in the moment. So we are

0:28:50.200 --> 0:28:52.760
<v Speaker 13>very encouraged about what we're seeing and Juniper actually give

0:28:52.800 --> 0:28:55.640
<v Speaker 13>us the opportunity to rethink some of the processes we

0:28:55.720 --> 0:28:56.880
<v Speaker 13>have had for a long time.

0:28:56.920 --> 0:29:01.440
<v Speaker 2>Here, Antonio, I ask you this every Coquo house the

0:29:01.480 --> 0:29:05.160
<v Speaker 2>relationship in partnership within video, but is Jensen one would

0:29:05.200 --> 0:29:08.760
<v Speaker 2>see it right for the supply chain and the partners

0:29:09.240 --> 0:29:13.479
<v Speaker 2>they give great visibility to future iterations product right. They

0:29:13.520 --> 0:29:17.040
<v Speaker 2>commit to the annual cadence of new GPU. They're increasingly

0:29:17.080 --> 0:29:21.760
<v Speaker 2>involved in the networking through mv link. Is anything changing

0:29:22.040 --> 0:29:25.600
<v Speaker 2>for you because of the way that video operates generationally

0:29:25.720 --> 0:29:28.040
<v Speaker 2>technology to technology every year.

0:29:30.240 --> 0:29:34.520
<v Speaker 13>We have a fantastic strong partnership at the company level

0:29:34.600 --> 0:29:39.680
<v Speaker 13>and at the personal level. Jensen is available in the moment.

0:29:39.920 --> 0:29:42.160
<v Speaker 13>If I need something, he picks the phone and we

0:29:42.360 --> 0:29:45.200
<v Speaker 13>chat that we solve it. But I will say the following.

0:29:45.360 --> 0:29:51.120
<v Speaker 13>I think from a collaboration perspective, from a core engineering perspective.

0:29:51.600 --> 0:29:54.360
<v Speaker 13>The proof of that is our AI factor for enterprise

0:29:54.440 --> 0:29:57.800
<v Speaker 13>with our private CLOUDI we actually took a very different

0:29:57.840 --> 0:30:02.560
<v Speaker 13>approach together with a video we integrated entire Nvidia AI

0:30:02.720 --> 0:30:06.320
<v Speaker 13>suite of software inside our green lay cloud. We took

0:30:06.360 --> 0:30:10.400
<v Speaker 13>a software down into infrastructure and together we provide an

0:30:10.400 --> 0:30:15.440
<v Speaker 13>integrated solution for our enterprise customers. That's a testament how

0:30:15.480 --> 0:30:18.120
<v Speaker 13>you co engineer despite the fact a lot of the

0:30:18.200 --> 0:30:21.800
<v Speaker 13>value is on the GPU, but reality is the software

0:30:21.880 --> 0:30:24.560
<v Speaker 13>and the experience that you deliver. On the other hand,

0:30:24.600 --> 0:30:28.840
<v Speaker 13>now with networking, we have another set of opportunities because

0:30:29.040 --> 0:30:32.400
<v Speaker 13>above the MVY link and the spectrum as you refer to,

0:30:32.920 --> 0:30:36.760
<v Speaker 13>you need a full data center architecture. Nvidia does not

0:30:36.880 --> 0:30:41.440
<v Speaker 13>participate into that. Our major competitors obviously our Cisco and Arista,

0:30:41.600 --> 0:30:44.240
<v Speaker 13>but Juriper has become the reference for many of these

0:30:44.320 --> 0:30:47.440
<v Speaker 13>large AI deployments. But I do believe together with the

0:30:47.480 --> 0:30:49.440
<v Speaker 13>Nvidia we can do a better job in a way.

0:30:49.480 --> 0:30:53.240
<v Speaker 13>We deploy that copex and we run that infrastructure from

0:30:53.280 --> 0:30:57.520
<v Speaker 13>an opex perspective using AI technologies for that matter, in

0:30:57.600 --> 0:31:01.080
<v Speaker 13>full manage the network. So we are very excited about that.

0:31:01.560 --> 0:31:03.600
<v Speaker 13>And look, you know in the last ward that we

0:31:03.600 --> 0:31:07.480
<v Speaker 13>announced new innovation together with Nvidia, the RTX six thousand pro,

0:31:07.680 --> 0:31:12.000
<v Speaker 13>the latest Ultra you know Blackwell, we are committed to

0:31:12.000 --> 0:31:14.720
<v Speaker 13>be time to market with Jensen and team.

0:31:15.600 --> 0:31:18.640
<v Speaker 5>I'm interested by the adoption and generative AI by the

0:31:18.680 --> 0:31:21.280
<v Speaker 5>companies that are helping them become a reality. Of course,

0:31:21.440 --> 0:31:24.600
<v Speaker 5>benefits your share price, which is near a record high, Antonio,

0:31:24.640 --> 0:31:27.280
<v Speaker 5>But how is it benefiting your employees or indeed, how

0:31:27.280 --> 0:31:28.800
<v Speaker 5>are the pilot's runn because there's been a lot of

0:31:28.880 --> 0:31:32.360
<v Speaker 5>questions about whether there's been efficacy there since the MIT report.

0:31:33.760 --> 0:31:36.480
<v Speaker 13>Yeah, I think it's fair to say, Carol, we went

0:31:36.520 --> 0:31:40.120
<v Speaker 13>from generative AI to agentic AI, and I think about,

0:31:40.880 --> 0:31:43.560
<v Speaker 13>you know, agentic KI as the next evolution for what

0:31:43.760 --> 0:31:47.800
<v Speaker 13>really enterprise needed. And my view is that AGENTAKI will

0:31:47.840 --> 0:31:52.520
<v Speaker 13>transform business processes by simplifying them, automating them and then

0:31:52.600 --> 0:31:56.320
<v Speaker 13>bring intelligence to it. In our company, we are using

0:31:56.360 --> 0:32:00.000
<v Speaker 13>agentic ai aggressively in our offers. So Green Lake Intelligence,

0:32:00.480 --> 0:32:03.880
<v Speaker 13>which we announce it June, is one of the most

0:32:03.880 --> 0:32:08.400
<v Speaker 13>comprehensive clouds that includes a gent ki no reserveability in

0:32:08.400 --> 0:32:12.239
<v Speaker 13>the way deploy and manage infrastructure and so forth. On

0:32:12.280 --> 0:32:15.120
<v Speaker 13>the other hand, as a company, we have deploying agentki

0:32:15.240 --> 0:32:19.640
<v Speaker 13>across finance. Our CFO is incredibly aggressive on this, so

0:32:19.680 --> 0:32:23.040
<v Speaker 13>she is on the leading edge on this. Our marketing

0:32:23.080 --> 0:32:27.520
<v Speaker 13>team uses for demand generation and the brand capaigns and

0:32:27.640 --> 0:32:31.440
<v Speaker 13>targeting segments where it makes sense, and our services team

0:32:31.640 --> 0:32:35.800
<v Speaker 13>is used to provide better support experiences in our supply chain.

0:32:35.840 --> 0:32:38.680
<v Speaker 13>We use it for forecasting and planning, and there is

0:32:38.760 --> 0:32:42.120
<v Speaker 13>many other examples of that, and so I think this

0:32:42.400 --> 0:32:46.160
<v Speaker 13>generative I now became agent KI. In the future, of

0:32:46.160 --> 0:32:50.200
<v Speaker 13>course will be the robotics part, but the productivity level

0:32:50.240 --> 0:32:52.160
<v Speaker 13>we see in is pretty significant and we are not

0:32:52.480 --> 0:32:54.920
<v Speaker 13>put of a concept. We have deployed more than sixty

0:32:55.320 --> 0:32:57.840
<v Speaker 13>use cases across the company and we have more than

0:32:57.880 --> 0:33:01.720
<v Speaker 13>two hundred in testing as we speak. Some will fail,

0:33:01.760 --> 0:33:04.560
<v Speaker 13>Carol run, and that's fine, and the mentality there needs

0:33:04.600 --> 0:33:07.200
<v Speaker 13>to be fell fast and improved and focus on our

0:33:07.240 --> 0:33:08.520
<v Speaker 13>return and investor capital.

0:33:09.880 --> 0:33:13.800
<v Speaker 2>Antonio, you've been CEO since the start of twenty eighteen.

0:33:14.760 --> 0:33:19.200
<v Speaker 2>Where does HPE sit today relative to your big vision

0:33:19.280 --> 0:33:24.240
<v Speaker 2>for what HPE is can or should be against your peers.

0:33:25.880 --> 0:33:28.520
<v Speaker 13>When I became CEO, I had a vision to be

0:33:28.800 --> 0:33:32.880
<v Speaker 13>an edge centric, cloud level and data driven company. We

0:33:32.920 --> 0:33:36.880
<v Speaker 13>invested at the edge was the Ruba acquisition, and we

0:33:36.960 --> 0:33:39.800
<v Speaker 13>delivered tremendous value for our shoholders from seven hundred and

0:33:39.800 --> 0:33:42.880
<v Speaker 13>fifty million dollar revenue all the way to over five billion,

0:33:43.280 --> 0:33:45.600
<v Speaker 13>and obviously now the next move was the acquisition of

0:33:45.720 --> 0:33:50.640
<v Speaker 13>Juniper to make this company a networking centric company because

0:33:50.720 --> 0:33:53.760
<v Speaker 13>I believe the next AI era here is the convergence

0:33:53.800 --> 0:33:59.320
<v Speaker 13>of networking cloud and then obviously the business process that

0:33:59.360 --> 0:34:02.720
<v Speaker 13>we will run as an enterprise, and that to me

0:34:02.880 --> 0:34:05.920
<v Speaker 13>is the core foundation that have been envisioned for our

0:34:06.000 --> 0:34:09.200
<v Speaker 13>company going forward, and on that core foundation we deliver

0:34:09.320 --> 0:34:13.279
<v Speaker 13>the best cloud and AI experiences. So is continue to

0:34:13.280 --> 0:34:16.280
<v Speaker 13>be shaped. I'm very pleased with the progress, but let's

0:34:16.280 --> 0:34:19.520
<v Speaker 13>not forget it's not just the division itself. It's how

0:34:19.600 --> 0:34:22.480
<v Speaker 13>you execute with the culture and a set of values

0:34:22.520 --> 0:34:25.719
<v Speaker 13>that makes us unique. And HP has been recognized also

0:34:25.719 --> 0:34:27.759
<v Speaker 13>along the way as one of the best places to

0:34:27.880 --> 0:34:34.520
<v Speaker 13>come and work by many surveys and magazines and institutions.

0:34:34.560 --> 0:34:37.760
<v Speaker 13>So my view is that we are shaping the future,

0:34:37.840 --> 0:34:41.239
<v Speaker 13>but ultimately is about delivering Shopholder value and we are

0:34:41.320 --> 0:34:43.239
<v Speaker 13>going to be positioned for the next three year to

0:34:43.320 --> 0:34:46.399
<v Speaker 13>accelerate that value as you see today because our stock

0:34:46.480 --> 0:34:50.680
<v Speaker 13>price still undervalue in terms of multiples. Our goal is

0:34:50.719 --> 0:34:54.719
<v Speaker 13>to deliver that value accelerator for our shareholders and be

0:34:54.920 --> 0:34:58.320
<v Speaker 13>relevant to our customers in this new environment we live.

0:34:58.200 --> 0:35:00.919
<v Speaker 2>In, I should have disasked you if your stock price

0:35:00.960 --> 0:35:04.960
<v Speaker 2>was undervalued. Antonio Anderi, President and CEO of HP. Will

0:35:05.040 --> 0:35:07.360
<v Speaker 2>leave it there, but a really robust conversation, thank you

0:35:07.440 --> 0:35:10.520
<v Speaker 2>very much. Coming up, tech leaders are set to gather

0:35:10.800 --> 0:35:15.400
<v Speaker 2>a President Trump's brand new Rose Garden for a discussion

0:35:15.440 --> 0:35:17.400
<v Speaker 2>about AI. We're gonna have more on that next. This

0:35:17.440 --> 0:35:31.080
<v Speaker 2>is Bloomberg Tech, President.

0:35:30.640 --> 0:35:32.680
<v Speaker 5>Trump and the First Lady. Well, they're set to host

0:35:32.680 --> 0:35:34.280
<v Speaker 5>a group of tech leaders.

0:35:34.080 --> 0:35:35.960
<v Speaker 4>And the newly renovated Rose Garden.

0:35:36.160 --> 0:35:39.840
<v Speaker 5>Those joining include Mark Zuckerberg, Tim Cook, Satia Nadella for

0:35:39.880 --> 0:35:44.000
<v Speaker 5>an event on AI education Bloemos Katherine Lucy joins us.

0:35:44.040 --> 0:35:47.720
<v Speaker 5>Now this really is a powerful Rose Garden meeting.

0:35:49.520 --> 0:35:52.160
<v Speaker 10>Yeah, it's quite a lineup, right. A lot of bald

0:35:52.160 --> 0:35:56.200
<v Speaker 10>faced names are expected, both for a event with the

0:35:56.360 --> 0:35:58.799
<v Speaker 10>as you said, with the First Lady around AI and

0:35:59.440 --> 0:36:04.120
<v Speaker 10>AI and children, but also for a reception the President

0:36:04.239 --> 0:36:08.960
<v Speaker 10>is hosting on the newly repaved Rose Garden, which he

0:36:09.000 --> 0:36:11.160
<v Speaker 10>has made clear he wants to use more as a

0:36:11.200 --> 0:36:13.280
<v Speaker 10>space to host gatherings at the White House.

0:36:14.520 --> 0:36:16.840
<v Speaker 2>Catherine, I went to d C for the Winning the

0:36:16.920 --> 0:36:20.200
<v Speaker 2>AI Race speech. The President made. So while this is,

0:36:20.280 --> 0:36:22.279
<v Speaker 2>you know, it's a nice thing with the CEOs, go

0:36:22.840 --> 0:36:26.080
<v Speaker 2>at the heart of it, what is this administration's attitude

0:36:26.080 --> 0:36:28.000
<v Speaker 2>to AI. I feel like there has been a lot

0:36:28.000 --> 0:36:31.319
<v Speaker 2>of traffic of leaders from California Silicon Valley going to

0:36:31.360 --> 0:36:33.840
<v Speaker 2>the White House to discuss that issue.

0:36:35.160 --> 0:36:37.520
<v Speaker 10>Yeah, the President and his ministers have been very clear

0:36:37.560 --> 0:36:40.440
<v Speaker 10>they are intered investing in AI. They have put a

0:36:40.480 --> 0:36:44.440
<v Speaker 10>big action plan around AI. They have had a lot

0:36:44.480 --> 0:36:47.200
<v Speaker 10>of tech CEOs in not US today obviously, but throughout

0:36:48.239 --> 0:36:53.200
<v Speaker 10>this year as they look for ways to invest in manufacturing,

0:36:53.360 --> 0:36:57.839
<v Speaker 10>to invest in domestic production, to support tech centers. They've

0:36:57.840 --> 0:37:02.120
<v Speaker 10>also been closely aligned with chip manufacturers. So there's been

0:37:02.280 --> 0:37:04.719
<v Speaker 10>a lot of activity in this space throughout the year.

0:37:05.800 --> 0:37:08.879
<v Speaker 2>Bloomberg's Caafine Lucy with the reporting. Thank you very much.

0:37:08.960 --> 0:37:11.080
<v Speaker 2>Let's stick with recent news from the Trump administration. The

0:37:11.120 --> 0:37:15.040
<v Speaker 2>president has torn up a Biden era compromise that allowed

0:37:15.040 --> 0:37:18.560
<v Speaker 2>some of the world's biggest chip makers to maintain operations

0:37:18.560 --> 0:37:21.320
<v Speaker 2>in China. I want to get out to Bloomberg's senior editor,

0:37:21.719 --> 0:37:26.879
<v Speaker 2>Mike Shephard. We're talking about validated end user authorizations or VEUS,

0:37:27.040 --> 0:37:31.839
<v Speaker 2>and there's been this pipeline of breaking news announcements around it.

0:37:32.239 --> 0:37:34.200
<v Speaker 2>There's a little bit of pressure on the chip stocks.

0:37:34.239 --> 0:37:36.640
<v Speaker 2>Why are we focused on what the president's doing in

0:37:36.680 --> 0:37:37.200
<v Speaker 2>this domain?

0:37:38.600 --> 0:37:42.160
<v Speaker 9>Well, this ends this so called blanket waiver that had

0:37:42.160 --> 0:37:47.560
<v Speaker 9>allowed the company's Samsung sk Heinex in TSMC to avoid

0:37:47.640 --> 0:37:52.240
<v Speaker 9>becoming collateral damage ed in the US effort to reign

0:37:52.360 --> 0:37:57.640
<v Speaker 9>in China's artificial intelligence ambitions, and that efforts included imposing

0:37:57.680 --> 0:38:01.200
<v Speaker 9>export restrictions not only in US com companies, but also

0:38:01.480 --> 0:38:05.200
<v Speaker 9>on businesses in Europe and elsewhere that supplied those makers

0:38:05.239 --> 0:38:10.439
<v Speaker 9>with facilities in China. Samsung and sk Heinex are South

0:38:10.480 --> 0:38:14.640
<v Speaker 9>Korean companies and they do have facilities in China, and

0:38:14.840 --> 0:38:19.200
<v Speaker 9>even though they are not Chinese flagged, they were nonetheless

0:38:19.520 --> 0:38:23.960
<v Speaker 9>targeted by potentially these export restrictions. So the waivers were

0:38:24.000 --> 0:38:27.759
<v Speaker 9>designed to spare them from feeling the brunt of it,

0:38:27.840 --> 0:38:34.040
<v Speaker 9>and it would allow them to ship in semiconductor manufacturing equipment, materials, chemicals,

0:38:34.040 --> 0:38:36.640
<v Speaker 9>and things needed to keep those plants running. And it

0:38:36.680 --> 0:38:40.480
<v Speaker 9>was really critical for Samsung and Skhinis to have that

0:38:40.600 --> 0:38:44.320
<v Speaker 9>ability to not have to go to the US government

0:38:44.400 --> 0:38:47.560
<v Speaker 9>for permission every single time they needed to make a shipment.

0:38:47.800 --> 0:38:50.319
<v Speaker 9>It allowed them to keep those facilities running, and it

0:38:50.320 --> 0:38:53.680
<v Speaker 9>has become a complication for them and for their suppliers too.

0:38:53.760 --> 0:38:57.359
<v Speaker 5>Kara, I mean what a labor impact is going to have.

0:38:57.640 --> 0:39:00.000
<v Speaker 5>I mean, we see the US government trying to brush

0:39:00.040 --> 0:39:01.719
<v Speaker 5>it off. It's going to be easy to facilitate.

0:39:02.239 --> 0:39:05.120
<v Speaker 4>But remind us of why the current.

0:39:04.920 --> 0:39:07.799
<v Speaker 5>Administration was so worried about this particular loophole as they

0:39:07.800 --> 0:39:08.160
<v Speaker 5>call it.

0:39:09.480 --> 0:39:11.799
<v Speaker 9>Well, you know, Caro, I mentioned data leakage, and that,

0:39:11.880 --> 0:39:15.600
<v Speaker 9>of course, you know, the idea that tech from these

0:39:15.640 --> 0:39:19.360
<v Speaker 9>factories could somehow leak into the Chinese market, and that

0:39:19.480 --> 0:39:23.080
<v Speaker 9>China would be able to somehow copy or mimic or

0:39:23.280 --> 0:39:27.040
<v Speaker 9>use this technology in some fashion, or these materials in

0:39:27.040 --> 0:39:29.800
<v Speaker 9>some fashion learning they know how. But there is also

0:39:29.920 --> 0:39:33.480
<v Speaker 9>another factor. We're seeing more than just South Korea and

0:39:33.520 --> 0:39:36.240
<v Speaker 9>Taiwan getting caught up in the tug of war between

0:39:36.280 --> 0:39:38.680
<v Speaker 9>the US and China, this is also a tug of

0:39:38.719 --> 0:39:43.400
<v Speaker 9>war with allies with South Korea and Taiwan and the

0:39:43.560 --> 0:39:48.360
<v Speaker 9>US over competition over trade. The Commerce Department made clear

0:39:48.400 --> 0:39:51.320
<v Speaker 9>that look, they see this as a question of leveling

0:39:51.360 --> 0:39:54.360
<v Speaker 9>the playing field not just with China, but with companies

0:39:54.520 --> 0:39:57.160
<v Speaker 9>from South Korea. And Taiwan. They want to make sure

0:39:57.200 --> 0:40:03.000
<v Speaker 9>that advantages given through these way are also not unfairly

0:40:04.680 --> 0:40:08.759
<v Speaker 9>putting US companies in an unfair position themselves. So this

0:40:08.800 --> 0:40:10.920
<v Speaker 9>is why the waivers have ended, and it's going to

0:40:10.960 --> 0:40:14.440
<v Speaker 9>set up four months of intense negotiations for these companies

0:40:14.480 --> 0:40:15.800
<v Speaker 9>to figure out how to proceed.

0:40:16.040 --> 0:40:18.839
<v Speaker 5>In most my Shepherd, we thank you from Washington. Now

0:40:18.880 --> 0:40:22.480
<v Speaker 5>coming up French AI firm Mistral. It's solidifying its position

0:40:22.520 --> 0:40:24.560
<v Speaker 5>as one of Europe's most valuable tech startups.

0:40:24.560 --> 0:40:26.400
<v Speaker 4>We talk about the funding that's going on now.

0:40:26.440 --> 0:40:40.200
<v Speaker 3>Discipling their tech. French AI start up Mistral is.

0:40:40.160 --> 0:40:42.560
<v Speaker 5>In talks to raise a new investment that will value

0:40:42.560 --> 0:40:45.560
<v Speaker 5>the company at fourteen billion dollars in most. Cake Clark

0:40:45.640 --> 0:40:48.200
<v Speaker 5>joins us now with the story, it's a high evaluation.

0:40:48.520 --> 0:40:51.840
<v Speaker 4>This is really the French startup, the European version of

0:40:51.880 --> 0:40:52.319
<v Speaker 4>open ai.

0:40:52.600 --> 0:40:53.040
<v Speaker 14>Exactly.

0:40:53.160 --> 0:40:54.879
<v Speaker 4>Has it got any niche a tool to compete against

0:40:54.920 --> 0:40:55.239
<v Speaker 4>the rest.

0:40:55.400 --> 0:40:58.000
<v Speaker 14>It's developing open source models, so that's one of its

0:40:58.040 --> 0:41:00.120
<v Speaker 14>that's its niece. But it's also a European company me

0:41:00.200 --> 0:41:03.000
<v Speaker 14>as you said, so perhaps people in Europe would prefer

0:41:03.080 --> 0:41:06.239
<v Speaker 14>to use a European homegrown AI company as opposed to

0:41:06.760 --> 0:41:07.560
<v Speaker 14>chat to BT.

0:41:07.600 --> 0:41:12.480
<v Speaker 2>Or Entthropics Claude, It's interesting where the capitules coming from.

0:41:12.760 --> 0:41:15.000
<v Speaker 2>It's also based on the news flow of this week.

0:41:15.040 --> 0:41:20.000
<v Speaker 2>Forteen billion dollars is modest, right, Kate, relative to Anthropic.

0:41:20.360 --> 0:41:22.920
<v Speaker 14>That's exactly right. I was thinking, Wow, this seems cheap

0:41:23.480 --> 0:41:26.120
<v Speaker 14>compared to anthropics one hundred and eighty three billion dollar

0:41:26.200 --> 0:41:29.319
<v Speaker 14>valuation and open AI's five hundred dollars billion dollar, five

0:41:29.400 --> 0:41:31.360
<v Speaker 14>hundred billion dollar valuation, and so.

0:41:31.360 --> 0:41:33.640
<v Speaker 5>Many cross over in some of them where the capital

0:41:33.719 --> 0:41:35.760
<v Speaker 5>is coming from at the moment, because we all focused

0:41:35.800 --> 0:41:37.840
<v Speaker 5>on the fat that Anthropic kind of went to the

0:41:37.880 --> 0:41:39.040
<v Speaker 5>Middle East when many thought they.

0:41:38.960 --> 0:41:42.480
<v Speaker 14>Wouldn't exactly, and we don't know who's leading this Mistral around.

0:41:43.160 --> 0:41:45.040
<v Speaker 14>I have been told it is not likely to be

0:41:45.080 --> 0:41:47.319
<v Speaker 14>a Middle East investor, but we'll see, and we're we're

0:41:47.360 --> 0:41:49.480
<v Speaker 14>doing that reporting to find out. But it does have

0:41:49.520 --> 0:41:52.520
<v Speaker 14>several US venture capital firms that are backers of Mistral,

0:41:52.560 --> 0:41:54.839
<v Speaker 14>Andries and Horowitz is one of the major investors, which

0:41:54.880 --> 0:41:57.920
<v Speaker 14>is also a firm that is invested in other US lms.

0:41:59.280 --> 0:42:02.040
<v Speaker 2>Very quick, Kate, just summarize demand. I'm seeing a lot

0:42:02.080 --> 0:42:06.799
<v Speaker 2>of newsflow, deal flow, primary secondaries, the appetite is still

0:42:06.840 --> 0:42:08.239
<v Speaker 2>there for these AI startups.

0:42:08.560 --> 0:42:11.680
<v Speaker 14>There is an incredible amount of appetite for these AI startups.

0:42:11.719 --> 0:42:15.319
<v Speaker 14>There's words cannot really even describe how much appetite there

0:42:15.400 --> 0:42:18.480
<v Speaker 14>is for an open AI and anthropic even if a stroll,

0:42:18.960 --> 0:42:23.440
<v Speaker 14>investors are extremely excited to put their money into these

0:42:23.520 --> 0:42:26.520
<v Speaker 14>large language models and into the application layer AI companies.

0:42:27.400 --> 0:42:30.359
<v Speaker 2>Bloomberg's k Clark great reporting as always, and yeah, there's

0:42:30.360 --> 0:42:31.560
<v Speaker 2>a lot going on, Carrot.

0:42:32.280 --> 0:42:34.719
<v Speaker 5>That does it for this edition of Bloomberg Tech, where

0:42:34.719 --> 0:42:38.799
<v Speaker 5>there is insatiable demand for content, whether it be on

0:42:38.960 --> 0:42:41.160
<v Speaker 5>Open ai or Mistrial and many others.

0:42:41.719 --> 0:42:44.160
<v Speaker 2>Yeah, hardware or software, we got it all. So check

0:42:44.200 --> 0:42:46.080
<v Speaker 2>out the podcast. You know where to find it on

0:42:46.120 --> 0:42:50.160
<v Speaker 2>the Bloomberg terminal as well as online on Apple, Spotify, Nihart.

0:42:50.640 --> 0:42:55.000
<v Speaker 2>From San Francisco, New York City, This is Bloomberg