WEBVTT - Anthropic to Spend $50 Billion Building US Data Centers

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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 Hyde in New

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<v Speaker 1>York and Vla Loow in sentrancs. Go.

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

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<v Speaker 3>Anthropic plans to spend fifty billion dollars to build AI

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<v Speaker 3>data centers in the US.

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<v Speaker 4>Plus data center demand helps AMD shares jump as it

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<v Speaker 4>predicts accelerating sales growth over the next five years.

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<v Speaker 3>And Woop is considering a potential IPO in the next

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<v Speaker 3>two years, according to its CEO. We'll have the details. Okay,

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<v Speaker 3>let's get onto our top story. Anthropic plans to spend

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<v Speaker 3>fifty billion dollars to build custom data centers for AI

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<v Speaker 3>work in several US locations, including Texas.

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<v Speaker 2>And New York.

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<v Speaker 3>This is the latest expensive pledge for infrastructure to support

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<v Speaker 3>DAI boom. Bloomberg's AI editor Seth Figeman joins us for more.

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<v Speaker 3>There are some details worth understanding and knowing about in

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<v Speaker 3>what Anthropic plans to do with this fifty billion dollars,

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<v Speaker 3>over which timeline and with who.

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<v Speaker 2>But there's also some consideration.

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<v Speaker 3>Around how big this fifty billion dollars is relative to

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<v Speaker 3>the rest of the field.

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<v Speaker 2>That's right.

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<v Speaker 5>You know, I think in one sense of you had

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<v Speaker 5>said a year or two ago that a four year old,

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<v Speaker 5>unprofitable startup was going to commit fifty billion dollars to

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<v Speaker 5>infrastructure project and say that's enormous and possibly insane. But

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<v Speaker 5>when you compare it to the one point four trillion

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<v Speaker 5>that OPI has committed, it feels much more measured. And

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<v Speaker 5>I do think that is very much the subtext of

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<v Speaker 5>a lot of this Anthropic is clearly taking a page

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<v Speaker 5>from Open in terms of the scale of infrastructure required

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<v Speaker 5>to build what it wants to build, but I think

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<v Speaker 5>it also wants to show that it's perhaps a fiscally

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<v Speaker 5>or more fiscally responsible company and doing this in order

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<v Speaker 5>of magnitude less.

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<v Speaker 4>At the moment, they've raised thirteen billion dollars recently, they're

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<v Speaker 4>worth one hundred and eighty three billion dollars, and they've

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<v Speaker 4>been really good track record with business and enterprise sales

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<v Speaker 4>three ondred thousand business customers. But what's interesting is the

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<v Speaker 4>business they're doing with other people. They're using a UK

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<v Speaker 4>company to build out in the US.

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<v Speaker 2>Seth, that's right.

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<v Speaker 5>I mean Fluid Sac is really not a household name here.

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<v Speaker 5>I mean, it's part of that emerging sector of neoclouds,

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<v Speaker 5>but not nearly as well known as Corewave or even Nebuus.

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<v Speaker 5>But you know, it's an up and coming company that

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<v Speaker 5>we've previously reporters and talks for a large amount of funding,

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<v Speaker 5>and it's been central to a French effort to build

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<v Speaker 5>a supercomputer over there. But again more untested perhaps than

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<v Speaker 5>some other partners you might announce here.

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<v Speaker 3>It's one of the stories where it's what we do

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<v Speaker 3>not know that's worth consideration. So they're not telling us,

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<v Speaker 3>you know, the total gig and what figure for the

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<v Speaker 3>footprint in the United States. And at the same time,

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<v Speaker 3>you know they're heavily reliant on these hyperscale partners Amazon,

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<v Speaker 3>Aws and Google to give them the compute they need

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<v Speaker 3>away from this this plan to build fifty billion dollars capacity.

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<v Speaker 5>Yeah, and I think again, if you look at their

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<v Speaker 5>nearest rival of Panaya, sort of it takes everything and

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<v Speaker 5>everyone to build what they want to build here. And

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<v Speaker 5>so while they want to potentially have a bit more

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<v Speaker 5>control and ownership over some of the data centers that

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<v Speaker 5>they build in the coming years, they're still going to

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<v Speaker 5>be relying on those big tech partners and the neo

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<v Speaker 5>clouds and pretty much anyone else in this industry to

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<v Speaker 5>meet what they imagine to be a pretty intense amount

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<v Speaker 5>of computing needs.

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<v Speaker 4>Here Blum, meg Seth, Fiegeman is a great breakdown. Thank you.

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<v Speaker 4>Look those intense compute needs, those AI bubble hopes, there's

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<v Speaker 4>still been questioned by the market, at least on the day.

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<v Speaker 4>Let's check in on the nastak. It's unpressureed by three

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<v Speaker 4>tens percent. Even though we've got some significant moves to

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<v Speaker 4>the upside of the chip set to end. You're going

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<v Speaker 4>to get to it. But at the moment, we're still

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<v Speaker 4>trying to digest potential end of the government shutdown. We're

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<v Speaker 4>still trying to digest really where some of the AI

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<v Speaker 4>return on AI is eventually coming from.

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<v Speaker 3>Ed There are some outperformers, and AMD is probably the

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<v Speaker 3>starkest example. Are almost ten percent more than nine percent.

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<v Speaker 3>They had their base of annual Capital Markets Day or

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<v Speaker 3>Investor Day, and what they said is that top line

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<v Speaker 3>revenue growth is going to be annualized thirty five percent

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<v Speaker 3>over the next three to five years. But in that

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<v Speaker 3>key data center category eighty percent KAEGA over the same

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<v Speaker 3>time period, and the question we've asked so many times

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<v Speaker 3>on this program, is is AMD meaningfully going to close

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<v Speaker 3>the gap on Nvidia for AI accelerators or GPUs for

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<v Speaker 3>data center The market really likes what it heard. Global

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<v Speaker 3>Foundaries actually had a really strong earnings beat in the

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<v Speaker 3>third quarter, particularly on the bottom line. Again, another sort

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<v Speaker 3>of smaller scale contract manufacturer chips like TSMC, but the

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<v Speaker 3>stock down three percent all in all. At the index level,

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<v Speaker 3>the Philadelphia Semi Conductor Index or socks up one point

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<v Speaker 3>two percent. But there is like this weird kind of

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<v Speaker 3>treading water right now. Bigger picture because of the government

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<v Speaker 3>shut down and AMD, as you know, carry is probably

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<v Speaker 3>doing a little.

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<v Speaker 2>Bit to boost at the index level.

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<v Speaker 4>It is. Let's just get the context of all of

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<v Speaker 4>this and drill down into what has been some cautious

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<v Speaker 4>optimism in tech stocks in an end of course, to

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<v Speaker 4>the US government shut down potentially in sight. Nicolas de

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<v Speaker 4>Danvier is with us here, is the head of North

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<v Speaker 4>American Equities for Columbia Thread Needs. I've got a call

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<v Speaker 4>seven hundred and fourteen billion dollars in as it's under management.

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<v Speaker 6>Nick.

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<v Speaker 4>It's wonderful to have you here in the studio.

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<v Speaker 6>Thank you for having me Caroline, and.

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<v Speaker 4>You've got this great take on what the drivers are

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<v Speaker 4>going forward. You call it tire. But we are still

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<v Speaker 4>trying to digest trade. We are still trying to think

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<v Speaker 4>about interest rates. I think you go into what's happening

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<v Speaker 4>with inflation, but earnings. What are we hearing from earnings

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<v Speaker 4>to vindicate the AI run up that we've had of late?

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<v Speaker 6>Hey looks thus far, right.

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<v Speaker 7>I think it's fair to say that earnings have been really,

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<v Speaker 7>really good. If you look at the performance of the

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<v Speaker 7>hyperscalars in particular this most recent earning season, you are

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<v Speaker 7>seeing a growth and there I say, return on some

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<v Speaker 7>of this capex.

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<v Speaker 6>All you have to do is look at what's happening

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<v Speaker 6>with META. Right.

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<v Speaker 7>When you look under the surface, you are seeing that

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<v Speaker 7>the AI is enabling better ad effectiveness, right, And those

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<v Speaker 7>are some of the early things that we want to

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<v Speaker 7>start to see as investors to validate the spending.

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<v Speaker 4>What's been interesting is investors didn't give much of a

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<v Speaker 4>longer rain to META beaten up in this earning season

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<v Speaker 4>because they'll take on more debt. They're thinking and committing

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<v Speaker 4>to that capital expenditure. What do you want to hear

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<v Speaker 4>from Zuckerberg, do you want to hear that optimism or

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<v Speaker 4>do you want to sometimes hear that he's going to

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<v Speaker 4>be sensible with the money spending too.

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<v Speaker 7>Hey, look, investors are doing exactly what we should be

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<v Speaker 7>doing right now. We're asking questions. And why are we

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<v Speaker 7>asking questions because Caroline, even in the world, with one

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<v Speaker 7>hundred billion dollars is quaint right, We're talking about really

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<v Speaker 7>big numbers here, So investors are rightfully saying, Hey, help

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<v Speaker 7>me understand the pace of the spending. Help me understand

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<v Speaker 7>how do I think about these returns flowing through?

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<v Speaker 6>What's the timeframe on that?

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<v Speaker 7>And Mark, do you really need to spend all of

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<v Speaker 7>this money right now or should you take your time now?

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<v Speaker 6>Zuckerberg would say.

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<v Speaker 7>We absolutely have to move forward because this is going

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<v Speaker 7>to matter for the future of the company, and if

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<v Speaker 7>we don't do this spending, we're going to fall behind.

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<v Speaker 7>But investors are going to ask questions, and that's precisely

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<v Speaker 7>what we should be doing.

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<v Speaker 3>Nick, it's great to have you on the program. Let

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<v Speaker 3>me give you some really big numbers. Four point seven

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<v Speaker 3>trillion dollars market cap for Nvidia, top line growth overall

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<v Speaker 3>fifty six fifty seven percent data center, maybe even better

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<v Speaker 3>the E in your acronym. It cannot get any bigger

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<v Speaker 3>the next Wednesday. How should the market brace for that

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<v Speaker 3>in Vidia print either to the upside or to the

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<v Speaker 3>downside in terms of disappointment.

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<v Speaker 7>Look, I know that there is a focus and we

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<v Speaker 7>like to look at these earnings sort of on a

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<v Speaker 7>real time basis, But what the market is really going

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<v Speaker 7>to care about, ed is how is in Nvidia talking

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<v Speaker 7>about the future?

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<v Speaker 6>Right?

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<v Speaker 7>Caroline was just pointing out that we've had lots and

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<v Speaker 7>lots of CAPEX commitments, and what investors want to hear

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<v Speaker 7>is what is the pace of that CAPEX coming through

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<v Speaker 7>their revenues? And Look, I know we're going to focused

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<v Speaker 7>on a backwards looking view in terms of the quarter,

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<v Speaker 7>but what we should be thinking about is is the

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<v Speaker 7>pace of their competitive positioning? Are they going to be

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<v Speaker 7>able to maintain that? Are they going to be able

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<v Speaker 7>to maintain this revenue trajectory that there are and at

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<v Speaker 7>least in a short term, I think they can.

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<v Speaker 3>You're the head of North American equities, right, you probably

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<v Speaker 3>take a much broader macro view, but when you do

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<v Speaker 3>have a company like this who's not just technical waiting

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<v Speaker 3>at the index level is an important consideration, But like

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<v Speaker 3>the psychological weight that the Gensen one puts on the market,

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<v Speaker 3>how do you prepare for that? How do you translate

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<v Speaker 3>that for your clients?

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<v Speaker 7>I think what you have as an investor is focused

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<v Speaker 7>on the things that you can do best right and

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<v Speaker 7>what is our competitive advantage, if you will, from the

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<v Speaker 7>perspective of Columbia Thread Deedal, what we can do is

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<v Speaker 7>study the market, understand the competitive dynamics, and be able

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<v Speaker 7>to weigh through who the winners and the losers are

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<v Speaker 7>going to be. Now is Jensen's commentary? Is that going

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<v Speaker 7>to matter for investor expectations? It will, But to the

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<v Speaker 7>extent it creates noise. I think what we have to

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<v Speaker 7>do is be ready to take advantage of that on

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<v Speaker 7>behalf of our clients.

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<v Speaker 4>And so in this moment, if there is weakness, and

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<v Speaker 4>we have seen some pockets of weakness, look quantums come off.

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<v Speaker 4>We've had some of the more sort of risk prone,

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<v Speaker 4>maybe the unprofitable side of the text been pulling back

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<v Speaker 4>a little bit nuclear maybe we've got less excited about that.

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<v Speaker 4>Are they buying opportunities or are you thinking that you

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<v Speaker 4>actually want a little bit of a healthy correction of

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<v Speaker 4>some of these CEOs of financial companies's been talking about.

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<v Speaker 7>Hey, look, Caroline, I would segment out the market. I

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<v Speaker 7>think there are places where there is fundamental strength, and

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<v Speaker 7>to the extent you see weakness, it's probably a buying opportunity.

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<v Speaker 7>And I would separate out the places of the market

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<v Speaker 7>where really what we're talking.

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<v Speaker 6>About is speculative appetite.

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<v Speaker 7>Right, the quantum stocks have melted thousands of percents, but

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<v Speaker 7>for most of these companies, they don't even have many

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<v Speaker 7>revenues for a few years running, right, So I would

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<v Speaker 7>not necessarily describe that segment of the market as a

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<v Speaker 7>buying opportunity. But for the healthier places, the places where

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<v Speaker 7>you can model out real revenue growth, you can see

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<v Speaker 7>where the cash flows are going, there's probably going to

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<v Speaker 7>be opportunity as the market continues.

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<v Speaker 4>To be weak, opportunity. And I think the opportunity we

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<v Speaker 4>keep hearing about, the limiting factor we keep hearing about

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<v Speaker 4>is utilities and is energy. But also the key limiting

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<v Speaker 4>factor for many is going to be the place of

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<v Speaker 4>interest rates, and where they go.

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<v Speaker 3>Yes, yes, let's go to interest rates. So in your acronym,

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<v Speaker 3>we've done a lot on the E.

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<v Speaker 6>Right.

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<v Speaker 3>What we always say on this program is that higher

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<v Speaker 3>rates discount the present value of future cash flows, and

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<v Speaker 3>we try and help the audience understand, like, why do

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<v Speaker 3>we track.

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<v Speaker 2>The FED on Bloomberg Tech?

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<v Speaker 3>As an investor who's looking at this technology sector, why

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<v Speaker 3>do you look at the FED?

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<v Speaker 2>Do you care? Help us understand?

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<v Speaker 7>Hey, look, we absolutely care, right, And I'll take you

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<v Speaker 7>back again to these really big numbers, trillions of dollars

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<v Speaker 7>that we're talking about. So the FED matters a lot

0:11:11.720 --> 0:11:14.440
<v Speaker 7>from the perspective of is there going to be liquidity

0:11:14.440 --> 0:11:17.520
<v Speaker 7>in the marketplace? And obviously the FED, in terms of

0:11:17.559 --> 0:11:20.160
<v Speaker 7>the short term interest rates, is going to dictate the

0:11:20.200 --> 0:11:21.680
<v Speaker 7>pricing on that.

0:11:23.160 --> 0:11:25.480
<v Speaker 6>Capital. So yes, the FED matters.

0:11:26.080 --> 0:11:29.200
<v Speaker 7>I would point to the audience that there's been somewhat

0:11:29.200 --> 0:11:30.480
<v Speaker 7>of a pivot four or.

0:11:30.400 --> 0:11:31.240
<v Speaker 6>Five weeks ago.

0:11:31.480 --> 0:11:34.959
<v Speaker 7>I think it was relatively consensus that interest rates were

0:11:35.000 --> 0:11:38.199
<v Speaker 7>heading lower. We're now in somewhat of a data fog,

0:11:38.400 --> 0:11:40.640
<v Speaker 7>but the little bit of data that we've seen.

0:11:40.520 --> 0:11:42.160
<v Speaker 6>Suggests that we might be on hold.

0:11:42.400 --> 0:11:44.520
<v Speaker 7>So in the short term, I think you're going to

0:11:44.559 --> 0:11:48.200
<v Speaker 7>see some countervailing winds, if you will, and the long

0:11:48.280 --> 0:11:51.400
<v Speaker 7>term you would expect interest rates to start to come

0:11:51.440 --> 0:11:54.359
<v Speaker 7>down we're seeing in terms of economic performance.

0:11:55.320 --> 0:11:57.480
<v Speaker 3>Let's end the conversation by you telling us what's going

0:11:57.559 --> 0:12:00.360
<v Speaker 3>to happen in the balance of twenty twenty five twenty

0:12:00.360 --> 0:12:03.560
<v Speaker 3>twenty six for the technology sector, your crystal ball.

0:12:03.600 --> 0:12:04.560
<v Speaker 6>Please look.

0:12:04.880 --> 0:12:07.719
<v Speaker 7>I think for the next few weeks it's going to

0:12:07.800 --> 0:12:11.280
<v Speaker 7>be all about investors trying to figure out where are

0:12:11.360 --> 0:12:13.280
<v Speaker 7>the returns going to come from.

0:12:13.640 --> 0:12:15.280
<v Speaker 6>Let's look through the tea leaves.

0:12:15.400 --> 0:12:19.200
<v Speaker 7>Let's see the early evidence that this capec is capex

0:12:19.960 --> 0:12:21.000
<v Speaker 7>is going to pay off.

0:12:21.320 --> 0:12:22.720
<v Speaker 6>So I would expect that.

0:12:22.559 --> 0:12:25.800
<v Speaker 7>That's going to drive a lot of the conversation for

0:12:25.880 --> 0:12:28.520
<v Speaker 7>the balance of the year. But I'll fool you forward

0:12:28.679 --> 0:12:34.000
<v Speaker 7>into twenty twenty six. I think an important conversation, and

0:12:34.160 --> 0:12:36.560
<v Speaker 7>one that we haven't spent a lot of time on

0:12:36.600 --> 0:12:40.680
<v Speaker 7>thus far, is are these CAPEX numbers one time in

0:12:40.800 --> 0:12:44.880
<v Speaker 7>nature or are we about to get on a CAPEX treadmill,

0:12:45.280 --> 0:12:49.240
<v Speaker 7>which is akin to telecoms of the nineteen eighties. If

0:12:49.280 --> 0:12:52.600
<v Speaker 7>it's the former, I think the market will do well

0:12:52.640 --> 0:12:55.320
<v Speaker 7>through that. If people start to believe the latter, I

0:12:55.360 --> 0:12:59.080
<v Speaker 7>think you have the real possibility of seeing some nervousness

0:12:59.240 --> 0:12:59.960
<v Speaker 7>from investors.

0:13:01.320 --> 0:13:03.800
<v Speaker 3>Nicholas Choanbier of Columbia, Fred need or great to have

0:13:03.800 --> 0:13:04.680
<v Speaker 3>you on Bloomberg Tech.

0:13:04.800 --> 0:13:05.640
<v Speaker 6>Thank you ver so much.

0:13:05.840 --> 0:13:06.360
<v Speaker 2>Coming up.

0:13:06.720 --> 0:13:11.120
<v Speaker 3>Fitness wearable company says it's looking to potentially IPO within

0:13:11.160 --> 0:13:11.920
<v Speaker 3>the next two years.

0:13:11.960 --> 0:13:13.560
<v Speaker 2>We're going to get that story next Carot.

0:13:13.360 --> 0:13:15.280
<v Speaker 4>What you got in here and now, and we're checking

0:13:15.320 --> 0:13:18.200
<v Speaker 4>out airline stocks because we have heard from Sean Duffy.

0:13:18.240 --> 0:13:21.160
<v Speaker 4>Here's the Transportation Secretary speaking to reporters saying the US

0:13:21.240 --> 0:13:24.720
<v Speaker 4>aims to start lifting flight cuts in a week once

0:13:24.800 --> 0:13:27.840
<v Speaker 4>the government opens. We're up more than two percent across

0:13:27.840 --> 0:13:43.839
<v Speaker 4>the board. This is bloombg Tech way Mo. It's begun

0:13:43.880 --> 0:13:47.280
<v Speaker 4>offering rides that include highways in San Francisco, Los Angeles,

0:13:47.320 --> 0:13:49.880
<v Speaker 4>and Phoenix. The company is also widening at service area

0:13:49.920 --> 0:13:52.360
<v Speaker 4>in the Bay Area in the coming weeks. It's all

0:13:52.400 --> 0:13:55.439
<v Speaker 4>offering rides across Silicon Value more broadly. Bluemost consumer app

0:13:55.480 --> 0:13:59.040
<v Speaker 4>reporter Natalie Land joins US now and why is rides

0:13:59.080 --> 0:14:00.439
<v Speaker 4>on highways such a step.

0:14:01.120 --> 0:14:03.520
<v Speaker 8>It is a big deal because it can cut down

0:14:03.600 --> 0:14:05.200
<v Speaker 8>trip time for a lot of customers.

0:14:05.480 --> 0:14:06.680
<v Speaker 6>Right now, before.

0:14:06.760 --> 0:14:10.560
<v Speaker 8>Freeway access was available, you know, Waymo had to plan

0:14:10.679 --> 0:14:14.080
<v Speaker 8>routes avoiding the highways and you know, navigating the narrow

0:14:14.120 --> 0:14:16.920
<v Speaker 8>city streets and lengthening trip times a lot.

0:14:18.200 --> 0:14:18.520
<v Speaker 2>Naslie.

0:14:18.559 --> 0:14:20.800
<v Speaker 3>We were talking with the team this morning right about

0:14:21.400 --> 0:14:25.760
<v Speaker 3>is this the first time that a genuine robotaxi service,

0:14:25.840 --> 0:14:29.720
<v Speaker 3>no safety driver is going on a freeway or highway

0:14:30.120 --> 0:14:31.200
<v Speaker 3>and charging af fair.

0:14:31.400 --> 0:14:32.800
<v Speaker 2>The answer is probably yes.

0:14:33.400 --> 0:14:37.960
<v Speaker 3>Just explain that footprint in those markets s FLA and

0:14:38.800 --> 0:14:42.360
<v Speaker 3>Phoenix area against what others have will have not yet done.

0:14:42.760 --> 0:14:46.000
<v Speaker 8>So opening the freeway access would connect some of way

0:14:46.040 --> 0:14:49.600
<v Speaker 8>most existing markets like SF down South down all the

0:14:49.640 --> 0:14:51.840
<v Speaker 8>way to San Jose and even to the airport. And

0:14:51.880 --> 0:14:55.840
<v Speaker 8>so this would make them very competitive against traditional taxis

0:14:55.880 --> 0:14:59.120
<v Speaker 8>and ubers and lyfts and make it, you know, not

0:14:59.560 --> 0:15:04.280
<v Speaker 8>different from regular right hailing and compared with Tesla which

0:15:04.320 --> 0:15:07.280
<v Speaker 8>currently still have safety monitors in the cars, whether it's

0:15:07.320 --> 0:15:11.680
<v Speaker 8>within city trips or freeway trips. So Waimu is really

0:15:11.800 --> 0:15:14.280
<v Speaker 8>the first one that's offering like a fully drive less

0:15:14.320 --> 0:15:15.600
<v Speaker 8>experience for customers.

0:15:16.320 --> 0:15:18.680
<v Speaker 4>So I'm flying into Phoenix. I've got a nice little

0:15:18.720 --> 0:15:21.480
<v Speaker 4>airbnb that I've booked, and I'm taking my way home

0:15:21.560 --> 0:15:23.040
<v Speaker 4>to my airbnb and now I'm gonna be able to

0:15:23.080 --> 0:15:25.560
<v Speaker 4>get instacar ordered there as well, you've been a busy reporter.

0:15:25.640 --> 0:15:27.520
<v Speaker 4>What's happening over at Airbnb with instacart.

0:15:27.600 --> 0:15:31.360
<v Speaker 8>Yes, so Airbnb is piloting this kitchen stocking service with

0:15:31.440 --> 0:15:35.360
<v Speaker 8>Instacart where hosts can receive your instacrat order and then

0:15:35.400 --> 0:15:38.880
<v Speaker 8>pre stock your Airnb and so you can make use

0:15:38.920 --> 0:15:41.320
<v Speaker 8>of that kitchen while you're in a short term rental.

0:15:41.400 --> 0:15:42.160
<v Speaker 6>And so this is a.

0:15:42.120 --> 0:15:45.480
<v Speaker 8>Three month pilot that will start next year, and Airbnb

0:15:45.640 --> 0:15:48.320
<v Speaker 8>is incentivizing hosts to provide the service by giving them

0:15:48.360 --> 0:15:49.080
<v Speaker 8>some cash.

0:15:48.840 --> 0:15:53.280
<v Speaker 3>Incentives both Natalie Lung, thank you very much. Let's get

0:15:53.280 --> 0:15:57.160
<v Speaker 3>to another story. Fitness wearables company Whoop says they're considering

0:15:57.400 --> 0:16:00.000
<v Speaker 3>a potential IPO in the next two years.

0:16:00.320 --> 0:16:02.000
<v Speaker 2>That's according to CEO Will.

0:16:01.840 --> 0:16:05.440
<v Speaker 3>Ahmed, who spoke with Bloomberg Samantha Kelly and Sam joins us. Now,

0:16:05.800 --> 0:16:09.840
<v Speaker 3>we've been tracking closely with you, in particular on this program.

0:16:10.480 --> 0:16:14.840
<v Speaker 3>It's not how should I put this unusual for a

0:16:14.920 --> 0:16:17.320
<v Speaker 3>CEO of a closely followed startup to say, you know,

0:16:17.440 --> 0:16:20.160
<v Speaker 3>we're thinking about an IPO or a listing in the

0:16:20.280 --> 0:16:22.880
<v Speaker 3>not too distant future, but give us some of the

0:16:23.120 --> 0:16:25.760
<v Speaker 3>background context of why that conversation came up.

0:16:27.200 --> 0:16:30.080
<v Speaker 9>Sure, so, This is something that he's kind of hinted

0:16:30.120 --> 0:16:32.360
<v Speaker 9>at before, but this is the first time he's really

0:16:32.560 --> 0:16:35.480
<v Speaker 9>outlined perhaps in the next two years. He pointed to

0:16:35.560 --> 0:16:38.080
<v Speaker 9>the fact that the company is pretty much a standalone

0:16:38.120 --> 0:16:42.920
<v Speaker 9>business at this point, has hardware, software as accessories at peril,

0:16:43.000 --> 0:16:46.400
<v Speaker 9>its own proprietary technology, and he said that it's really

0:16:46.400 --> 0:16:48.480
<v Speaker 9>gotten to a point where they can move forward.

0:16:48.720 --> 0:16:50.800
<v Speaker 4>And you know, you raise the question if you think

0:16:50.840 --> 0:16:51.920
<v Speaker 4>about a big.

0:16:51.760 --> 0:16:56.360
<v Speaker 9>Company that really owned the idea of personalized health at

0:16:56.400 --> 0:16:59.400
<v Speaker 9>the moment in the public space, what comes to mind?

0:16:59.440 --> 0:17:01.680
<v Speaker 9>And he said, well, is the company that he wants

0:17:01.760 --> 0:17:04.080
<v Speaker 9>people to think of when the time comes.

0:17:04.760 --> 0:17:08.399
<v Speaker 4>I do feel like the health and gadgets in health

0:17:08.640 --> 0:17:11.720
<v Speaker 4>offering is just go ever more competitive though throughout well

0:17:11.720 --> 0:17:15.840
<v Speaker 4>Ahmed's journey talk us through what the product ROMap looks

0:17:15.880 --> 0:17:17.800
<v Speaker 4>like for that couple of years timeframe.

0:17:19.080 --> 0:17:21.560
<v Speaker 9>Absolutely, yeah, to your point, a lot of companies now

0:17:21.640 --> 0:17:23.439
<v Speaker 9>are really stepping it up, doing a lot of the

0:17:23.480 --> 0:17:28.720
<v Speaker 9>same type of type of features and type of results

0:17:28.720 --> 0:17:33.000
<v Speaker 9>and data. But to your point, as far as product

0:17:33.080 --> 0:17:35.359
<v Speaker 9>roadmap goes, one of the areas that a lot of

0:17:35.359 --> 0:17:39.280
<v Speaker 9>companies have yet to master is the idea of continuous

0:17:39.320 --> 0:17:43.399
<v Speaker 9>glucose monitoring. A lot of these devices they monitor your

0:17:43.440 --> 0:17:46.320
<v Speaker 9>goug host levels. A lot of people with diabetes. This

0:17:46.400 --> 0:17:50.080
<v Speaker 9>is something that they need to do, and the technology

0:17:50.119 --> 0:17:52.720
<v Speaker 9>behind it is quite clunky. It's very invasive. It usually

0:17:52.760 --> 0:17:56.080
<v Speaker 9>involves needles and the puncturing the skin. A lot of

0:17:56.119 --> 0:17:59.440
<v Speaker 9>companies want to perhaps change the form factor. Group is

0:17:59.480 --> 0:18:01.920
<v Speaker 9>one of these companies. They say that they are interested

0:18:02.000 --> 0:18:05.719
<v Speaker 9>in not only taking that information and using it as

0:18:05.800 --> 0:18:09.359
<v Speaker 9>part of you know, it's overall dashboard, but also to

0:18:09.359 --> 0:18:11.960
<v Speaker 9>figure out a new form factor that makes it easier,

0:18:12.400 --> 0:18:17.439
<v Speaker 9>more seamless, and is non invasive for users. Another area

0:18:17.720 --> 0:18:23.159
<v Speaker 9>is what he calls a operate health operating system, so

0:18:23.200 --> 0:18:25.200
<v Speaker 9>basically something that you can come to and do a

0:18:25.240 --> 0:18:28.200
<v Speaker 9>little bit of everything. And similar to how an AI

0:18:28.359 --> 0:18:31.840
<v Speaker 9>model perhaps might predict the next word if you're using

0:18:31.960 --> 0:18:34.200
<v Speaker 9>you know, a chat, GPT or something like that, WOP

0:18:34.280 --> 0:18:36.679
<v Speaker 9>has its own AI models and what it wants to

0:18:36.680 --> 0:18:40.920
<v Speaker 9>do is to look at predictive health, so perhaps taking

0:18:40.920 --> 0:18:43.879
<v Speaker 9>all the information and being preventive when it comes to

0:18:44.119 --> 0:18:47.120
<v Speaker 9>heart attacks, strokes and other things down the line.

0:18:47.760 --> 0:18:52.680
<v Speaker 4>Also some ongoing conversations therefore with the us FDAGS, Sam Kelly,

0:18:52.680 --> 0:18:54.800
<v Speaker 4>you always bring US the greatest reporting, Thank you very much.

0:18:54.840 --> 0:19:03.240
<v Speaker 3>In Dean, real quick, I want to go back to

0:19:03.280 --> 0:19:06.120
<v Speaker 3>the story of soft Bank selling out of its Nvidia

0:19:06.200 --> 0:19:09.440
<v Speaker 3>steak entirely five point six billion dollar steak now gone.

0:19:09.640 --> 0:19:13.160
<v Speaker 3>This is SoftBank's US listed shares down almost six percent

0:19:13.520 --> 0:19:16.400
<v Speaker 3>AE what delayed reaction to that news of twenty four

0:19:16.400 --> 0:19:20.320
<v Speaker 3>hours ago, but overnight in Japan in Tokyo those shares

0:19:20.320 --> 0:19:23.200
<v Speaker 3>also dropping. And again we're going back to a story

0:19:23.240 --> 0:19:26.439
<v Speaker 3>we did well yesterday. But this isn't concern about Nvidia.

0:19:26.680 --> 0:19:28.480
<v Speaker 3>It's just more about soft Bank and what.

0:19:28.480 --> 0:19:28.960
<v Speaker 2>It's up to.

0:19:29.359 --> 0:19:32.960
<v Speaker 4>Karen good reminder. And meanwhile, it's talking tech now and

0:19:33.040 --> 0:19:35.560
<v Speaker 4>first Up and video partner on high. But it's offering

0:19:35.600 --> 0:19:38.160
<v Speaker 4>a rosy outlook for twenty twenty six, citing AI as

0:19:38.200 --> 0:19:40.840
<v Speaker 4>its key growth driver that the company reported a better

0:19:40.840 --> 0:19:43.800
<v Speaker 4>than expected seventeen percent jump in net income for the

0:19:43.840 --> 0:19:48.200
<v Speaker 4>September quarter. Gairman Jung Lu struck a tone of cautious optimism,

0:19:48.320 --> 0:19:52.320
<v Speaker 4>saying the company remains very positive about AI. Plus. JD

0:19:52.400 --> 0:19:55.199
<v Speaker 4>dot Com says it's not record sales during China Singles

0:19:55.240 --> 0:19:58.440
<v Speaker 4>Day event, but they rewarded forty percent jump in shoppers orders.

0:19:58.480 --> 0:20:01.560
<v Speaker 4>This version nearly sixty percent or the sale define concerns

0:20:01.600 --> 0:20:05.160
<v Speaker 4>over week consumer spending amid persistent deflation in the country,

0:20:05.760 --> 0:20:08.240
<v Speaker 4>and shares of Infinian, well, they are soaring after the

0:20:08.240 --> 0:20:10.720
<v Speaker 4>company forecast a return to growth for revenue in twenty

0:20:10.760 --> 0:20:14.400
<v Speaker 4>twenty six, driven by global AI data center boom. Of course,

0:20:14.600 --> 0:20:17.800
<v Speaker 4>Hbergs Guy Johnson spoke with Infinean CFO svensch Niner.

0:20:18.920 --> 0:20:22.439
<v Speaker 10>We just raised the guidance for our AI revenue for

0:20:22.520 --> 0:20:25.359
<v Speaker 10>this year from one billion to one and a half,

0:20:25.440 --> 0:20:28.520
<v Speaker 10>so we are more than doubling in this fiscal year

0:20:28.600 --> 0:20:32.320
<v Speaker 10>and it will not end in twenty six. We expect

0:20:32.320 --> 0:20:36.919
<v Speaker 10>the addressable market for Infinian for powering the AI data

0:20:36.920 --> 0:20:40.000
<v Speaker 10>centers in the magnitude of eight to twelve billion, so

0:20:40.400 --> 0:20:45.159
<v Speaker 10>it's a significant idiosyncratic growth driver for the company going ahead.

0:20:46.640 --> 0:20:49.000
<v Speaker 3>The AI boom has also led to rising demand for

0:20:49.040 --> 0:20:52.040
<v Speaker 3>electricity and plans to build out nuclear power.

0:20:51.840 --> 0:20:53.199
<v Speaker 2>Facilities to meet that demand.

0:20:53.200 --> 0:20:56.240
<v Speaker 3>But despite billions in investment, hardly any of that power

0:20:56.400 --> 0:20:57.240
<v Speaker 3>will be ready.

0:20:57.000 --> 0:20:59.600
<v Speaker 2>For a decade. Our nuclear energy reporter will wad here

0:20:59.600 --> 0:21:02.040
<v Speaker 2>with more. Well, that's the story. That's the reporting.

0:21:02.119 --> 0:21:03.840
<v Speaker 3>Lots of investment up front and you got to wait

0:21:03.880 --> 0:21:04.840
<v Speaker 3>a long time to get more.

0:21:05.320 --> 0:21:05.560
<v Speaker 6>Yeah.

0:21:05.600 --> 0:21:07.480
<v Speaker 11>The thing to keep in mind about nuclear is that

0:21:07.640 --> 0:21:11.240
<v Speaker 11>everything moves really slowly, you know. I mean, any of

0:21:11.240 --> 0:21:14.800
<v Speaker 11>these power plants are major construction projects, so already that's

0:21:14.800 --> 0:21:16.919
<v Speaker 11>a slow thing. And then it's nuclear, so you know

0:21:17.000 --> 0:21:19.320
<v Speaker 11>that they are going to take their time because it

0:21:19.359 --> 0:21:22.200
<v Speaker 11>has to be safe. So it's a very slow moving industry.

0:21:22.520 --> 0:21:26.719
<v Speaker 11>There's huge demand for it now. There's as you know,

0:21:26.760 --> 0:21:30.200
<v Speaker 11>there's amazing demand for electricity now, all these big tech

0:21:30.200 --> 0:21:33.199
<v Speaker 11>companies they want electricity yesterday. But what we're going to

0:21:33.200 --> 0:21:35.679
<v Speaker 11>see in the near term is a lot more gas power.

0:21:36.359 --> 0:21:39.320
<v Speaker 4>That's so interesting And just briefly, will we're here to

0:21:39.320 --> 0:21:41.960
<v Speaker 4>talk about SMRs. We here talk about new nuclear, but

0:21:42.000 --> 0:21:45.639
<v Speaker 4>it's actually retrofitting or it's all nuclear plants that are

0:21:45.680 --> 0:21:46.520
<v Speaker 4>coming back online.

0:21:46.720 --> 0:21:48.800
<v Speaker 11>Yeah, so there's a push to reopen some of the

0:21:48.880 --> 0:21:52.800
<v Speaker 11>nuclear plants that closed and earlier in this century. You know,

0:21:52.880 --> 0:21:56.119
<v Speaker 11>I was tracking them for years and more than a

0:21:56.119 --> 0:21:59.560
<v Speaker 11>dozen reactors closed in the decade through about twenty twenty two,

0:22:00.080 --> 0:22:03.400
<v Speaker 11>and we're seeing several of them getting restarted. They were

0:22:03.480 --> 0:22:06.239
<v Speaker 11>way too expensive to operate when people didn't really value it,

0:22:06.280 --> 0:22:09.280
<v Speaker 11>but now they are willing to spend a lot of money,

0:22:09.320 --> 0:22:12.280
<v Speaker 11>especially the tech companies, because they've got these big, deep

0:22:12.320 --> 0:22:14.840
<v Speaker 11>pockets they can spend money for it. We may see

0:22:14.920 --> 0:22:18.320
<v Speaker 11>the first one of those come online January February or early

0:22:18.320 --> 0:22:19.320
<v Speaker 11>next year in Michigan.

0:22:19.359 --> 0:22:20.160
<v Speaker 2>The Palistates plan.

0:22:20.880 --> 0:22:24.000
<v Speaker 4>All eyes peeled on your reporting will wade. So it's

0:22:24.040 --> 0:22:25.400
<v Speaker 4>great to have you on around Nucleimer.

0:22:31.960 --> 0:22:33.320
<v Speaker 2>Welcome back to Bloomberg Tech.

0:22:33.400 --> 0:22:36.520
<v Speaker 3>AMD is probably our big story and mover of the day,

0:22:36.680 --> 0:22:39.760
<v Speaker 3>best performer both in terms of percentage gain and points

0:22:40.000 --> 0:22:42.920
<v Speaker 3>on Nasdaq one hundred and the Philadelphia Semiconductor Index.

0:22:43.359 --> 0:22:45.640
<v Speaker 2>The story is really clear and it's investors day.

0:22:45.840 --> 0:22:49.280
<v Speaker 3>It says top line overall thirty five percent annualized growth

0:22:49.359 --> 0:22:51.280
<v Speaker 3>over the next three to five years, but in that

0:22:51.400 --> 0:22:56.040
<v Speaker 3>key AI data center category eighty eight zero percent kieger

0:22:56.160 --> 0:22:59.399
<v Speaker 3>over the same time period, and clearly investors like it.

0:22:59.480 --> 0:23:03.119
<v Speaker 3>That ten percent gain, it's basically biggest jump in about

0:23:03.160 --> 0:23:07.359
<v Speaker 3>a month. Global Foundaries is a US based contract manufacturer

0:23:07.359 --> 0:23:10.600
<v Speaker 3>of chips. It reported pretty strong earnings. Actually in the

0:23:10.640 --> 0:23:14.080
<v Speaker 3>court have just gone for the stockdown six percent. I

0:23:14.080 --> 0:23:16.920
<v Speaker 3>guess mixed feelings are high bar coarter that kind of thing.

0:23:16.960 --> 0:23:19.520
<v Speaker 3>But right now, with the effort of this country to

0:23:19.680 --> 0:23:23.000
<v Speaker 3>re enshore manufacturing ASSEMIS. We tend to take a close

0:23:23.000 --> 0:23:24.919
<v Speaker 3>look at it and then at the index level. We

0:23:24.920 --> 0:23:27.040
<v Speaker 3>were talking about this earlier in the program Carro where

0:23:27.400 --> 0:23:32.000
<v Speaker 3>AMD is probably artificially boosting a little bit the picture

0:23:32.040 --> 0:23:33.800
<v Speaker 3>on the socks right now, which is up one point

0:23:33.880 --> 0:23:36.480
<v Speaker 3>six percent. But as we discussed with some brilliant guests

0:23:36.480 --> 0:23:39.800
<v Speaker 3>throughout the show, government shut down the big E for

0:23:39.880 --> 0:23:42.439
<v Speaker 3>earnings next Wednesday and video those are probably things that

0:23:42.480 --> 0:23:43.240
<v Speaker 3>we're bracing for.

0:23:43.640 --> 0:23:46.080
<v Speaker 4>Meanwhile, though, the AMD story is all about data centers,

0:23:46.080 --> 0:23:47.959
<v Speaker 4>isn't it. We've got yet more breaking news on that

0:23:48.000 --> 0:23:50.439
<v Speaker 4>front Meta shares. They're currently off by two point seven percent.

0:23:50.840 --> 0:23:53.040
<v Speaker 4>But this is as a social media giant is also

0:23:53.080 --> 0:23:55.520
<v Speaker 4>planning to spend yet more money, more than a billion

0:23:55.560 --> 0:23:58.960
<v Speaker 4>dollars on a new AI data center in Wisconsin. Now,

0:23:59.000 --> 0:24:02.200
<v Speaker 4>the announcement actually can Bloomberg's reporting from April about the plan.

0:24:02.600 --> 0:24:04.600
<v Speaker 4>Let's get a reminder on it. Kurt Wagner joins us,

0:24:04.680 --> 0:24:07.879
<v Speaker 4>who covers the company and almost feels a drop in

0:24:07.920 --> 0:24:10.720
<v Speaker 4>the bucket of what the ultimate capex that Mark Zuckerberg

0:24:10.800 --> 0:24:13.320
<v Speaker 4>is currently saying is going to spend. But this is

0:24:13.359 --> 0:24:14.280
<v Speaker 4>big for Wisconsin.

0:24:15.640 --> 0:24:19.040
<v Speaker 12>Yeah, it's big for Wisconsin, and it's a sign Caroline

0:24:19.040 --> 0:24:22.400
<v Speaker 12>that this is just a you know, snowball that continues

0:24:22.440 --> 0:24:25.160
<v Speaker 12>to roll downhill in terms of AI infrastructure for Meta.

0:24:25.240 --> 0:24:27.920
<v Speaker 12>Right we're now talking about data centers in Ohio, in

0:24:27.960 --> 0:24:31.000
<v Speaker 12>Texas and Louisiana. This one in Wisconsin that they just

0:24:31.040 --> 0:24:34.879
<v Speaker 12>announced it this morning, and so these are you know,

0:24:35.000 --> 0:24:37.480
<v Speaker 12>projects that aren't even going to be really online and

0:24:37.520 --> 0:24:41.240
<v Speaker 12>operational for several years. It just gives you a real

0:24:41.359 --> 0:24:44.160
<v Speaker 12>sense of how much this company is betting on the future,

0:24:44.240 --> 0:24:47.320
<v Speaker 12>betting on AI and wanting to control this stuff themselves, right,

0:24:47.400 --> 0:24:51.080
<v Speaker 12>not necessarily going out and paying another tech company to

0:24:51.160 --> 0:24:54.240
<v Speaker 12>use their data center, but really trying to own that

0:24:54.320 --> 0:24:55.480
<v Speaker 12>infrastructure themselves.

0:24:56.440 --> 0:24:58.440
<v Speaker 3>That's where I wanted to go. So the headline right

0:24:58.440 --> 0:25:01.200
<v Speaker 3>now is a one billion dollar day center in Wisconsin,

0:25:01.640 --> 0:25:04.479
<v Speaker 3>but the bigger figure is six hundred billion dollars. As

0:25:04.520 --> 0:25:07.919
<v Speaker 3>Karen pointed out, over a period of years, Meta is

0:25:07.920 --> 0:25:11.760
<v Speaker 3>not a hyperscaler. It's a technology company social media focus

0:25:11.840 --> 0:25:14.840
<v Speaker 3>that also has an AI lab within it. Just explain

0:25:15.119 --> 0:25:18.880
<v Speaker 3>why Meta thinks the best approach is to build its

0:25:18.880 --> 0:25:22.119
<v Speaker 3>own infrastructure and have its own compute available to its

0:25:22.160 --> 0:25:24.480
<v Speaker 3>teams internally as much as anything else.

0:25:25.600 --> 0:25:28.520
<v Speaker 12>I mean, my read on this ed is to go

0:25:28.640 --> 0:25:32.120
<v Speaker 12>back more than a well over a decade ago when

0:25:33.160 --> 0:25:36.120
<v Speaker 12>Meta really missed out on the mobile phone right. And

0:25:36.200 --> 0:25:39.399
<v Speaker 12>Mark Zuckerberg has spent now years and years and years

0:25:39.440 --> 0:25:43.720
<v Speaker 12>reliant on Apple and Google primarily to distribute his products

0:25:43.720 --> 0:25:47.440
<v Speaker 12>to his users. And we see this with I think

0:25:47.480 --> 0:25:50.120
<v Speaker 12>he regrets that he's talked about regretting that he's talked

0:25:50.119 --> 0:25:52.520
<v Speaker 12>about the challenges that come with being reliant on another

0:25:52.600 --> 0:25:55.280
<v Speaker 12>major tech company. And so we see what they're building

0:25:55.280 --> 0:25:57.440
<v Speaker 12>around their own hardware in terms of AR and VR

0:25:57.520 --> 0:25:59.800
<v Speaker 12>with glasses, where we see what they do around their

0:25:59.800 --> 0:26:02.520
<v Speaker 12>own data centers. I really think this is very much

0:26:02.640 --> 0:26:05.479
<v Speaker 12>a control thing. This is something that the company has

0:26:05.520 --> 0:26:07.840
<v Speaker 12>been burned on in the past. If you ask Mark,

0:26:08.160 --> 0:26:10.880
<v Speaker 12>and you know, they have a chance to control their

0:26:10.920 --> 0:26:13.320
<v Speaker 12>own destiny a little bit with this AI infrastructure, and

0:26:13.359 --> 0:26:15.399
<v Speaker 12>so I think they're leaning into it because of that.

0:26:17.520 --> 0:26:19.080
<v Speaker 2>Kurt, what happens next with Meta?

0:26:19.200 --> 0:26:21.920
<v Speaker 3>Right, they had these big projects, like there's this map

0:26:21.960 --> 0:26:24.960
<v Speaker 3>that people show on the social medias of Meta's data

0:26:25.000 --> 0:26:29.040
<v Speaker 3>centers occupying New York City in Central Park. Just give

0:26:29.280 --> 0:26:32.040
<v Speaker 3>the sort of headline summary of their total ambitions.

0:26:33.480 --> 0:26:36.000
<v Speaker 12>Yeah, so you mentioned that's the data center in Louisiana,

0:26:36.160 --> 0:26:40.840
<v Speaker 12>This one that could be as large as five gigawatts

0:26:40.320 --> 0:26:44.600
<v Speaker 12>of power and compute. Ultimately, I think this is a

0:26:44.640 --> 0:26:47.760
<v Speaker 12>company that, as we've talked about, is building several different

0:26:47.840 --> 0:26:50.560
<v Speaker 12>data centers in order to spread this out. But I

0:26:50.600 --> 0:26:53.280
<v Speaker 12>think the big thing for them, quite frankly data centers aside,

0:26:53.320 --> 0:26:54.919
<v Speaker 12>because those are still a few years away.

0:26:55.320 --> 0:26:56.680
<v Speaker 6>They need to show.

0:26:56.320 --> 0:26:59.080
<v Speaker 12>That all of this talent that they spent billions of

0:26:59.119 --> 0:27:01.840
<v Speaker 12>dollars on over the sum these these AI researchers and

0:27:01.920 --> 0:27:05.640
<v Speaker 12>engineers are going to deliver a world class model, and

0:27:05.720 --> 0:27:08.040
<v Speaker 12>so we will see that at some point I imagine

0:27:08.040 --> 0:27:09.640
<v Speaker 12>in the next six months or so, where they will

0:27:09.640 --> 0:27:12.399
<v Speaker 12>come out with a new model that they need to

0:27:12.480 --> 0:27:15.479
<v Speaker 12>be on par with you know, Open AI and Google

0:27:15.560 --> 0:27:18.159
<v Speaker 12>and other top class models to sort of show that

0:27:18.240 --> 0:27:21.840
<v Speaker 12>it's not just building the infrastructure, but it's actually capitalizing

0:27:21.920 --> 0:27:24.080
<v Speaker 12>on that talent and having a product to deploy to

0:27:24.119 --> 0:27:28.440
<v Speaker 12>people that that sort of reflects this investment on infrastructure.

0:27:28.560 --> 0:27:32.320
<v Speaker 12>So the data centers are years off, I think more urgently,

0:27:32.560 --> 0:27:34.680
<v Speaker 12>you know, the pressures on them to deliver a real

0:27:34.720 --> 0:27:37.560
<v Speaker 12>world class model here in the next six months.

0:27:37.720 --> 0:27:40.480
<v Speaker 3>Blue vers Kurt Wagner, thank you very much. Let's get

0:27:40.480 --> 0:27:43.560
<v Speaker 3>back to that AMD story. Shares absolutely surging up almost

0:27:43.600 --> 0:27:46.480
<v Speaker 3>ten percent over the course of the day. That shows

0:27:46.520 --> 0:27:49.520
<v Speaker 3>the training over a couple of days. It sees accelerating

0:27:49.560 --> 0:27:52.879
<v Speaker 3>sales growth over the next five years, driven by strong

0:27:52.920 --> 0:27:56.480
<v Speaker 3>demand for its data center products. CEO Lisa Su updated

0:27:56.520 --> 0:27:59.920
<v Speaker 3>investors on AMD's long term outlook, a mid rising concern

0:28:00.520 --> 0:28:03.040
<v Speaker 3>of massive spending, some of which Kurt has outlined. Let's

0:28:03.040 --> 0:28:05.760
<v Speaker 3>get to bloem mazine King who leads our coverage to semiconductors.

0:28:06.119 --> 0:28:08.520
<v Speaker 2>Clearly, this is a positive.

0:28:08.080 --> 0:28:11.439
<v Speaker 3>Market reaction to AMD saying, here's what we see for

0:28:11.440 --> 0:28:15.440
<v Speaker 3>the next five years. But that eighty percent Kaga compound

0:28:15.560 --> 0:28:18.760
<v Speaker 3>analyzed growth for the data center business, that's the headline, really,

0:28:18.800 --> 0:28:19.119
<v Speaker 3>isn't it.

0:28:19.240 --> 0:28:19.400
<v Speaker 8>Yeah.

0:28:19.440 --> 0:28:20.840
<v Speaker 13>I mean there were a lot of headlines, a lot

0:28:20.880 --> 0:28:23.080
<v Speaker 13>of numbers, and if you actually look at what happened

0:28:23.400 --> 0:28:26.480
<v Speaker 13>as they were speaking, stock really didn't do very much.

0:28:26.560 --> 0:28:29.439
<v Speaker 13>Then after hours, when the management were on stage and

0:28:29.440 --> 0:28:32.760
<v Speaker 13>we're being questioned, they put in a strong performance and

0:28:32.800 --> 0:28:34.919
<v Speaker 13>that's really when the start started to pick up. And

0:28:34.960 --> 0:28:38.760
<v Speaker 13>that's what the analysts and investors have reacted to really in.

0:28:39.240 --> 0:28:42.960
<v Speaker 4>Was enough articulation given by Lisa Sue as to if

0:28:43.000 --> 0:28:45.440
<v Speaker 4>open aiy is good for the money longer term. She

0:28:45.520 --> 0:28:48.240
<v Speaker 4>was asked a lot about some of these nervousness, about

0:28:48.520 --> 0:28:54.360
<v Speaker 4>these circular deals about nai bubble. In other kind of words, yeah.

0:28:54.160 --> 0:28:56.480
<v Speaker 13>I mean you're right, she was asked about that, sort

0:28:56.480 --> 0:28:59.080
<v Speaker 13>of talked around it. Then the analysts were like, now,

0:28:59.080 --> 0:29:01.239
<v Speaker 13>come on, you've got to help us out here. And

0:29:01.280 --> 0:29:04.600
<v Speaker 13>what she said really was, look, if everything happens as

0:29:04.640 --> 0:29:07.160
<v Speaker 13>though it is laid out, as we get the users,

0:29:07.240 --> 0:29:10.800
<v Speaker 13>the amount of models deployed in everything, the money's going

0:29:10.840 --> 0:29:11.120
<v Speaker 13>to be.

0:29:11.080 --> 0:29:14.080
<v Speaker 2>There real quick. The money going to be there. I believe.

0:29:14.120 --> 0:29:16.480
<v Speaker 3>Lisa Sue is asked by some of the analyst community

0:29:16.520 --> 0:29:19.200
<v Speaker 3>about the relationship with open AI and they pose the

0:29:19.280 --> 0:29:21.200
<v Speaker 3>question that we tried to some weeks ago when she

0:29:21.280 --> 0:29:23.640
<v Speaker 3>was in the seat you're in, is open ai good

0:29:23.640 --> 0:29:23.920
<v Speaker 3>for it?

0:29:24.360 --> 0:29:27.240
<v Speaker 13>And she said yes, don't rule them out? Was her strong,

0:29:27.720 --> 0:29:32.240
<v Speaker 13>strong sort of retort to that push.

0:29:30.880 --> 0:29:33.360
<v Speaker 4>Than king, we love it, Thank you very much. Md

0:29:33.520 --> 0:29:34.640
<v Speaker 4>on an absolute.

0:29:34.200 --> 0:29:44.720
<v Speaker 3>Ten startup for Terror has just closed a two hundred

0:29:44.760 --> 0:29:47.200
<v Speaker 3>and thirty eight million dollar funding round that raises its

0:29:47.280 --> 0:29:51.680
<v Speaker 3>valuations more than a billion dollars for Terror's Autonomous technology

0:29:52.120 --> 0:29:55.680
<v Speaker 3>is used for battlefield vehicles that can operate individually or

0:29:56.040 --> 0:30:00.120
<v Speaker 3>as a swarm, to conduct surveillance or to carry items

0:30:00.160 --> 0:30:06.200
<v Speaker 3>such as missiles. Here discuss for terra Ceo Josh Arajo. Josh,

0:30:06.240 --> 0:30:08.720
<v Speaker 3>you join us from the webs summit in Lisbon. Thank

0:30:08.760 --> 0:30:11.320
<v Speaker 3>you for being here on Bloomberg Tech. I want to

0:30:11.320 --> 0:30:13.880
<v Speaker 3>bring back some of that video of the technology and

0:30:13.920 --> 0:30:17.800
<v Speaker 3>we'll get to the rais, but just explain the autonomous system,

0:30:18.040 --> 0:30:21.360
<v Speaker 3>the payload and the swarm effect that we were just discussing.

0:30:22.760 --> 0:30:25.840
<v Speaker 14>Yeah, so what we're providing or really enabling, is the

0:30:25.920 --> 0:30:29.800
<v Speaker 14>use of any vehicle to carry any mission capability into

0:30:29.840 --> 0:30:32.080
<v Speaker 14>combat and support of our men and women who are

0:30:32.200 --> 0:30:33.280
<v Speaker 14>are serving our country.

0:30:33.720 --> 0:30:35.720
<v Speaker 6>So you think about you know, a lot of.

0:30:35.680 --> 0:30:40.520
<v Speaker 14>Investment in defense tech has happened in many other domain space, air, maritime,

0:30:41.080 --> 0:30:43.160
<v Speaker 14>but really where the wars are fought and more wars

0:30:43.200 --> 0:30:44.600
<v Speaker 14>are won, or by the men and women on the

0:30:44.600 --> 0:30:48.480
<v Speaker 14>ground doing the hard, dangerous work of our ground combat forces.

0:30:48.480 --> 0:30:51.480
<v Speaker 14>So this technology is really you know, in support of them.

0:30:51.520 --> 0:30:53.680
<v Speaker 14>It's what gets us excited, gets us up in the morning,

0:30:53.760 --> 0:30:57.280
<v Speaker 14>is to go deliver you know, really mission critical life

0:30:57.360 --> 0:31:00.120
<v Speaker 14>saving technologies that takes them out of harm's way and

0:31:00.160 --> 0:31:02.880
<v Speaker 14>allows them to accomplish those missions really from anywhere in

0:31:02.880 --> 0:31:05.440
<v Speaker 14>the world, and particularly from a much safer position than

0:31:05.440 --> 0:31:06.360
<v Speaker 14>writing in that vehicle.

0:31:07.280 --> 0:31:09.360
<v Speaker 3>The two hundred and thirty eight million dollars Series C

0:31:09.600 --> 0:31:12.680
<v Speaker 3>is split between equity and debt. What is it that

0:31:12.720 --> 0:31:16.760
<v Speaker 3>you need the funds for in scaling and deploying your

0:31:16.800 --> 0:31:18.160
<v Speaker 3>technology to the battlefield.

0:31:19.440 --> 0:31:21.520
<v Speaker 14>Yeah, so if you look at the priorities for the

0:31:21.560 --> 0:31:25.840
<v Speaker 14>Department of War and Secretary Headset had a really great

0:31:25.840 --> 0:31:28.920
<v Speaker 14>speech last week. I've had the pleasure to be there. Really,

0:31:28.960 --> 0:31:32.640
<v Speaker 14>what they're indexed on is speed, scale and capability. So

0:31:32.680 --> 0:31:35.080
<v Speaker 14>how do you get more capability into the hands of

0:31:35.080 --> 0:31:39.040
<v Speaker 14>war fighters faster and at scale. So what this fundy

0:31:39.080 --> 0:31:41.520
<v Speaker 14>is being able is really to do just that. Everything

0:31:41.560 --> 0:31:45.520
<v Speaker 14>from acquisitions and M and A. We recently acquired Gotene,

0:31:45.600 --> 0:31:48.920
<v Speaker 14>which really brings more capability tightly integrated to the war fighter.

0:31:49.400 --> 0:31:52.360
<v Speaker 14>We're using to invest in additional capabilities. If you look

0:31:52.400 --> 0:31:55.280
<v Speaker 14>at these vehicles on the screen, those are now mobile

0:31:55.360 --> 0:31:58.600
<v Speaker 14>data centers with comms compute sensing that are now fully

0:31:58.640 --> 0:31:59.920
<v Speaker 14>distributed on the battlefield.

0:32:00.120 --> 0:32:00.960
<v Speaker 12>Will deliver more.

0:32:00.800 --> 0:32:04.840
<v Speaker 14>Than two hundred systems into operational combat environments this year.

0:32:05.160 --> 0:32:07.680
<v Speaker 14>So it's how do we take more capability and leverage

0:32:07.720 --> 0:32:10.360
<v Speaker 14>that compute comms and sensing at the edge to bring

0:32:10.400 --> 0:32:15.720
<v Speaker 14>additional payloads, additional sensing, additional firepower, and really help those

0:32:15.760 --> 0:32:17.720
<v Speaker 14>missions close for those men and women that are out

0:32:17.720 --> 0:32:19.040
<v Speaker 14>there defend in our country.

0:32:19.360 --> 0:32:22.360
<v Speaker 4>Just let's just talk about the underlying technology, the innovation

0:32:22.440 --> 0:32:26.200
<v Speaker 4>that you brought here. Because you're kind of outfitting these

0:32:26.280 --> 0:32:30.800
<v Speaker 4>existing vehicles with your own sensors. How are you working

0:32:30.800 --> 0:32:32.400
<v Speaker 4>with partners and what is it that you brought that

0:32:32.480 --> 0:32:33.560
<v Speaker 4>no one else really had.

0:32:34.840 --> 0:32:36.760
<v Speaker 14>Yeah, I think it's our ability to work with vest

0:32:36.760 --> 0:32:41.640
<v Speaker 14>in class capability, best in class partners, So traditional defense primes,

0:32:41.680 --> 0:32:44.880
<v Speaker 14>they are excellent at building vehicles at scale, so we

0:32:44.880 --> 0:32:47.680
<v Speaker 14>can take their capability made it with our technology, which

0:32:47.680 --> 0:32:51.440
<v Speaker 14>is really the compute sensors, the autonomy software, leveraging the

0:32:51.520 --> 0:32:54.280
<v Speaker 14>latest and greatest in AI to enable those vehicles to

0:32:54.360 --> 0:32:55.800
<v Speaker 14>do really complex missions.

0:32:55.800 --> 0:32:56.600
<v Speaker 6>And it's not just.

0:32:56.840 --> 0:32:58.400
<v Speaker 14>Hey, I have a vehicle that can drive point A

0:32:58.440 --> 0:33:01.280
<v Speaker 14>to point B safe, It's how do I have that

0:33:01.400 --> 0:33:05.120
<v Speaker 14>vehicle or system really close the gap for an entire mission,

0:33:05.160 --> 0:33:07.680
<v Speaker 14>whether it be a mind clearing mission, a ship and

0:33:07.720 --> 0:33:11.200
<v Speaker 14>addiction mission, a resupplied mission, and have multiple vehicles coordinate

0:33:11.240 --> 0:33:13.440
<v Speaker 14>together where there would otherwise be a human doing that.

0:33:13.480 --> 0:33:16.760
<v Speaker 14>So that requires a pretty unique insight into how military

0:33:16.800 --> 0:33:21.440
<v Speaker 14>operations work on the technology that needed to enable that,

0:33:21.720 --> 0:33:23.760
<v Speaker 14>and so it's really working with best in class partners.

0:33:24.120 --> 0:33:25.720
<v Speaker 6>We want to bring the.

0:33:25.680 --> 0:33:27.960
<v Speaker 14>Best in class of defense tech the defense primes, and

0:33:27.960 --> 0:33:30.760
<v Speaker 14>then it helped integrate those into a cohesive system that

0:33:30.880 --> 0:33:33.400
<v Speaker 14>really serves that again, that eighteen to twenty five year

0:33:33.400 --> 0:33:36.640
<v Speaker 14>old who's out there on the front line, standing there

0:33:36.640 --> 0:33:37.600
<v Speaker 14>for a nation's defense.

0:33:38.280 --> 0:33:41.280
<v Speaker 4>You've been building this business since two thousand and two, Josh,

0:33:41.520 --> 0:33:43.760
<v Speaker 4>and I just want to get your context on how

0:33:43.840 --> 0:33:46.200
<v Speaker 4>much has changed just in the last few months. Say yeah,

0:33:46.240 --> 0:33:48.400
<v Speaker 4>because we're on track for a record amount of defense

0:33:48.440 --> 0:33:51.080
<v Speaker 4>tech investing we've got As you talk about Department of

0:33:51.120 --> 0:33:54.880
<v Speaker 4>War really thinking about bringing on startups, does that feel

0:33:55.040 --> 0:33:56.040
<v Speaker 4>seismically different.

0:33:57.640 --> 0:33:59.600
<v Speaker 6>It seems it's a lot has changed.

0:33:59.600 --> 0:34:01.080
<v Speaker 14>But if you look at back when the company is

0:34:01.120 --> 0:34:04.000
<v Speaker 14>founded in two thousand and two, the threat that was

0:34:04.040 --> 0:34:07.640
<v Speaker 14>really facing you know, PREE nine to eleven was was

0:34:07.760 --> 0:34:11.400
<v Speaker 14>near peer competitive threats, tank on tank battles and autonomy

0:34:11.480 --> 0:34:14.480
<v Speaker 14>and robotics We're looked at even back then on how

0:34:14.480 --> 0:34:17.719
<v Speaker 14>do you deter a near peer conflict? How do you

0:34:17.760 --> 0:34:20.799
<v Speaker 14>prevent the next large scale warfare from happening? And that's

0:34:20.840 --> 0:34:23.760
<v Speaker 14>really through robotics and autonomy. So you fast forward to today,

0:34:24.120 --> 0:34:27.120
<v Speaker 14>we're now several years into the Ukraine Russia conflict. We're

0:34:27.120 --> 0:34:32.200
<v Speaker 14>looking at tensions in the Pacific theater, and again we

0:34:32.280 --> 0:34:35.759
<v Speaker 14>don't have the size of the military both in terms

0:34:35.800 --> 0:34:39.279
<v Speaker 14>of distance and space to go occupy and deter and

0:34:39.320 --> 0:34:42.319
<v Speaker 14>project the firepower to deter the next conflict. And so

0:34:42.320 --> 0:34:44.120
<v Speaker 14>it's just you know, what's old is new again, it's

0:34:44.160 --> 0:34:46.440
<v Speaker 14>how do you leverage capability and technology to do that.

0:34:46.760 --> 0:34:48.759
<v Speaker 14>I think we have the benefit of today that we

0:34:48.800 --> 0:34:51.720
<v Speaker 14>didn't have in two thousand and two was very low cost,

0:34:52.000 --> 0:34:55.200
<v Speaker 14>very capable compute orders of magnitude more compute that's available

0:34:55.200 --> 0:34:59.560
<v Speaker 14>to do this, technology sensors, an ecosystem of technology providers

0:34:59.560 --> 0:35:02.040
<v Speaker 14>that are folk on the defense industry. And if you

0:35:02.080 --> 0:35:05.120
<v Speaker 14>look at how the defense industry and Secretary Hegseth said

0:35:05.120 --> 0:35:07.279
<v Speaker 14>in themselves last week, is we have to get back

0:35:07.320 --> 0:35:10.680
<v Speaker 14>to the rapid innovation, rapid deployment of capability at scale.

0:35:10.840 --> 0:35:13.520
<v Speaker 14>We used to do that back in the World War

0:35:13.560 --> 0:35:17.239
<v Speaker 14>two and beyond. We've lost that along the way, and

0:35:17.280 --> 0:35:20.000
<v Speaker 14>that's really that emergence is coming back, which is exciting.

0:35:20.320 --> 0:35:24.920
<v Speaker 4>Josh Rajo for Terra Ceo, joining from Lisbon websummit. We

0:35:24.960 --> 0:35:29.480
<v Speaker 4>appreciate it, Thank you and coming up. Investors. I AI

0:35:30.200 --> 0:35:32.959
<v Speaker 4>to help Cisco reach dot com levels. We're closed about

0:35:32.960 --> 0:35:35.800
<v Speaker 4>thirteen percent off of those numbers hit back at the

0:35:35.800 --> 0:35:37.520
<v Speaker 4>beginning of the century. Visibly bagtet.

0:35:51.719 --> 0:35:54.720
<v Speaker 3>Cisco reports earnings after the closing bell. Investors are watching

0:35:54.760 --> 0:35:57.360
<v Speaker 3>for signs of gains from its AI investments, though some

0:35:57.440 --> 0:36:00.640
<v Speaker 3>on Wall Street remain wary will ever read it's dot

0:36:00.680 --> 0:36:05.319
<v Speaker 3>com era peak despite being pretty close. Bloomberg'sdina Bass joins us,

0:36:05.640 --> 0:36:07.799
<v Speaker 3>that's kind of been the story of Cisco for.

0:36:07.719 --> 0:36:08.480
<v Speaker 2>A little while.

0:36:08.840 --> 0:36:11.040
<v Speaker 3>You know, back in the day it was the big

0:36:11.080 --> 0:36:15.719
<v Speaker 3>technology company, and present day we're kind of waiting for

0:36:15.760 --> 0:36:18.400
<v Speaker 3>it to get involved and see benefit from all the

0:36:18.400 --> 0:36:20.239
<v Speaker 3>things that others are pulling ahead in.

0:36:20.400 --> 0:36:21.600
<v Speaker 2>Is that a fair preview.

0:36:22.840 --> 0:36:23.360
<v Speaker 15>Absolutely.

0:36:23.400 --> 0:36:25.920
<v Speaker 16>Look, when I started as a reporter more than twenty

0:36:25.920 --> 0:36:28.640
<v Speaker 16>five years ago, it was right around where BusinessWeek dubbed

0:36:28.640 --> 0:36:31.120
<v Speaker 16>Cisco one of the four horsemen of the Internet era,

0:36:31.680 --> 0:36:34.320
<v Speaker 16>and you know, those horsemen, all to varying.

0:36:34.080 --> 0:36:35.240
<v Speaker 15>Degrees, ran out of steam.

0:36:35.400 --> 0:36:39.239
<v Speaker 16>Cisco's trying to use AI to reltigate that and to

0:36:39.280 --> 0:36:42.680
<v Speaker 16>get back into a leadership role. But when you compare

0:36:42.719 --> 0:36:45.720
<v Speaker 16>it to some of the other company, the other AI bets,

0:36:45.719 --> 0:36:49.880
<v Speaker 16>the other AI companies, it's, you know, with their forecast

0:36:49.920 --> 0:36:53.240
<v Speaker 16>increase in revenue and profit is quite a bit more modest.

0:36:53.560 --> 0:36:55.719
<v Speaker 4>You go to August when it had its fiscal fourth

0:36:55.760 --> 0:36:58.400
<v Speaker 4>quarter report and they talked about the one billion that

0:36:58.440 --> 0:37:01.320
<v Speaker 4>they saw in the AI sales coming from fiscal twenty

0:37:01.360 --> 0:37:05.759
<v Speaker 4>twenty five. How better can they articulate what they're providing

0:37:05.880 --> 0:37:07.600
<v Speaker 4>in the AI ecosystem right now?

0:37:07.680 --> 0:37:12.239
<v Speaker 16>Dina investors probably want to see just something that's a

0:37:12.280 --> 0:37:17.320
<v Speaker 16>little bit more sustained and just you know, continued winning deals,

0:37:17.360 --> 0:37:22.000
<v Speaker 16>continued development of the products to capitalize. So what they've

0:37:22.040 --> 0:37:27.319
<v Speaker 16>basically been doing is you know, redoing their networking products,

0:37:27.320 --> 0:37:29.840
<v Speaker 16>a bunch of their software to really take advantage, you know,

0:37:29.840 --> 0:37:33.239
<v Speaker 16>particularly on the networking side of the opportunity to connect

0:37:33.600 --> 0:37:36.760
<v Speaker 16>server cs, to connect you know, data centers in between

0:37:36.840 --> 0:37:41.200
<v Speaker 16>different data centers to better position those products for enabling

0:37:41.239 --> 0:37:44.200
<v Speaker 16>AI workloads. But you know, that's a competitive space that's

0:37:44.239 --> 0:37:47.360
<v Speaker 16>a space where Broadcom fleas as well, and where Broadcom

0:37:47.440 --> 0:37:51.560
<v Speaker 16>is is you know, definitely better known. So it's really

0:37:51.640 --> 0:37:55.480
<v Speaker 16>kind of a you know, show me consistent performance, consistent

0:37:55.560 --> 0:37:59.600
<v Speaker 16>deal winning, and a consistent roadmap of products that are

0:37:59.600 --> 0:38:02.960
<v Speaker 16>going to go where the AI market you know is

0:38:03.440 --> 0:38:05.319
<v Speaker 16>not just now, but we'll be in the future.

0:38:06.000 --> 0:38:09.560
<v Speaker 4>And show me a return to the highs in the

0:38:09.600 --> 0:38:12.520
<v Speaker 4>eighty dollars price tag that we saw back in the

0:38:12.680 --> 0:38:15.120
<v Speaker 4>or naughties. Dina Bas, we thank you so much for

0:38:15.239 --> 0:38:18.120
<v Speaker 4>thing Cisco, and look, Cisco is aiming at AI data centers.

0:38:18.120 --> 0:38:20.040
<v Speaker 4>We're just talking about it. Kim Forrest, spoke, a Capital

0:38:20.040 --> 0:38:22.239
<v Speaker 4>partner CIO, says, actually, the build out of a data

0:38:22.239 --> 0:38:25.040
<v Speaker 4>center will take a lot longer than all street things.

0:38:25.280 --> 0:38:27.239
<v Speaker 4>You're joining us now on the theme of the day,

0:38:27.280 --> 0:38:29.719
<v Speaker 4>I think it has been all about data centers, whether

0:38:29.760 --> 0:38:32.160
<v Speaker 4>it's fifty billion coming from Anthropic, whether we're thinking about

0:38:32.400 --> 0:38:36.000
<v Speaker 4>Meta continuing its focus in Wisconsin. But why do you

0:38:36.040 --> 0:38:40.760
<v Speaker 4>think it's too much too soon from the wall streets perspective, Well.

0:38:40.560 --> 0:38:41.759
<v Speaker 15>For a lot of reasons.

0:38:42.680 --> 0:38:46.880
<v Speaker 17>Living in a virtual world, as most of Silicon Valley does,

0:38:47.520 --> 0:38:50.239
<v Speaker 17>it's really hard whenever they have to, you know, go

0:38:50.360 --> 0:38:53.520
<v Speaker 17>out into the real world and do physical things. And

0:38:53.560 --> 0:38:57.280
<v Speaker 17>that's what we're talking about with data centers. We need power,

0:38:57.719 --> 0:39:03.960
<v Speaker 17>we need really kind of exotic they're kind of boring buildings,

0:39:04.000 --> 0:39:07.440
<v Speaker 17>but they need to be very uniform and there's only

0:39:07.520 --> 0:39:10.440
<v Speaker 17>certain kind of people that can build them, and then

0:39:10.480 --> 0:39:14.200
<v Speaker 17>we have the demand. So I've seen some reports maybe

0:39:14.200 --> 0:39:17.880
<v Speaker 17>I bloomber about how some data centers that are already

0:39:17.960 --> 0:39:21.919
<v Speaker 17>established or having problems, you know, selling their capacity.

0:39:22.080 --> 0:39:25.239
<v Speaker 15>So we have a lot of physical world problems.

0:39:25.640 --> 0:39:29.080
<v Speaker 17>But I think my biggest thing is is I'm not

0:39:29.160 --> 0:39:32.200
<v Speaker 17>a believer that we really need all these data centers.

0:39:32.280 --> 0:39:36.319
<v Speaker 17>I think human beings are incredibly smart and are going

0:39:36.360 --> 0:39:38.480
<v Speaker 17>to work around what we're doing now, which is the

0:39:38.480 --> 0:39:43.120
<v Speaker 17>brute for force method of training large language models. I

0:39:43.200 --> 0:39:46.920
<v Speaker 17>believe in AI, just not AI as it's presented right now.

0:39:47.000 --> 0:39:49.279
<v Speaker 4>So Kim, there's the rub, right because you're not just

0:39:49.320 --> 0:39:52.560
<v Speaker 4>saying that we've got utilities issues, power issues, supply chain issues.

0:39:52.600 --> 0:39:54.600
<v Speaker 4>You're saying we're going to innovate ourselves out of that

0:39:54.680 --> 0:39:56.239
<v Speaker 4>all we go to the United States or is it

0:39:56.239 --> 0:39:58.080
<v Speaker 4>going to be Asia.

0:39:58.200 --> 0:40:00.839
<v Speaker 17>Well, right now, it looks like Asia was first on

0:40:00.960 --> 0:40:03.799
<v Speaker 17>track with the whole deep seek product that they came

0:40:03.840 --> 0:40:04.279
<v Speaker 17>out with.

0:40:04.440 --> 0:40:06.600
<v Speaker 15>Right, we can quibble about if.

0:40:06.480 --> 0:40:11.919
<v Speaker 17>They unfairly used open AI to leverage, but they did

0:40:12.000 --> 0:40:14.839
<v Speaker 17>leverage and that's the most important part. They thought out

0:40:14.880 --> 0:40:17.360
<v Speaker 17>of the box as opposed to saying, you know, we

0:40:17.480 --> 0:40:19.799
<v Speaker 17>need to have this state of Texas be one big

0:40:19.880 --> 0:40:24.480
<v Speaker 17>data center. I'm using hyperbole here, but you know, they

0:40:24.560 --> 0:40:26.759
<v Speaker 17>thought about how can we do this differently? And I

0:40:26.800 --> 0:40:30.840
<v Speaker 17>think ultimately it's a good race between the US and

0:40:30.880 --> 0:40:33.880
<v Speaker 17>the West in general and China about who is going

0:40:33.920 --> 0:40:37.360
<v Speaker 17>to be able to come up with usable AI that

0:40:37.560 --> 0:40:40.800
<v Speaker 17>doesn't you know, break the bank and cost every last

0:40:40.880 --> 0:40:44.960
<v Speaker 17>dollar that Microsoft, Meta and Face and the rest of

0:40:45.000 --> 0:40:45.359
<v Speaker 17>them have.

0:40:47.000 --> 0:40:51.440
<v Speaker 3>Kim, you've presented your thesis. So as an investor, custodian

0:40:51.960 --> 0:40:56.520
<v Speaker 3>fiduciary of your clients, how do you invest to support

0:40:56.560 --> 0:40:57.880
<v Speaker 3>the thesis you've just outlined?

0:40:58.840 --> 0:41:03.520
<v Speaker 15>Sure, well, I think we have to have many options. Right,

0:41:04.320 --> 0:41:06.120
<v Speaker 15>we do own some in video, but we.

0:41:06.200 --> 0:41:10.440
<v Speaker 17>Also own a m D Micron and believe it or not,

0:41:10.600 --> 0:41:14.840
<v Speaker 17>Intel AI is real and AI is going to.

0:41:14.840 --> 0:41:19.200
<v Speaker 3>Have very bim Sorry, may I just interrupt you? Like

0:41:19.280 --> 0:41:22.319
<v Speaker 3>the AMD story today, the whole thing is predicated on

0:41:22.360 --> 0:41:26.120
<v Speaker 3>the idea that they do participate in some massive data

0:41:26.160 --> 0:41:28.319
<v Speaker 3>center build out. And you just said we don't need

0:41:28.360 --> 0:41:29.200
<v Speaker 3>the data centers.

0:41:30.120 --> 0:41:32.839
<v Speaker 17>Well, there's going to be some data centers, but not

0:41:32.920 --> 0:41:34.560
<v Speaker 17>as many as are planned currently.

0:41:35.120 --> 0:41:38.160
<v Speaker 15>And I think that's the big thing that even you know,

0:41:38.320 --> 0:41:39.560
<v Speaker 15>last week's big.

0:41:42.040 --> 0:41:45.560
<v Speaker 17>In the world of AI was the Brad Gessner and

0:41:45.719 --> 0:41:48.640
<v Speaker 17>Sam Altman interview where you know.

0:41:48.680 --> 0:41:50.520
<v Speaker 15>They're saying, where are you getting the money? Sam?

0:41:50.960 --> 0:41:53.640
<v Speaker 17>So, I mean, there's a lot of concern about the

0:41:53.680 --> 0:41:56.760
<v Speaker 17>whole theory of we need all of these data centers,

0:41:56.880 --> 0:41:57.560
<v Speaker 17>but surely.

0:41:57.400 --> 0:42:00.239
<v Speaker 4>They have over time we need them. But here's an

0:42:00.239 --> 0:42:03.759
<v Speaker 4>AMD currently trading and evaluation that is pricing in an

0:42:03.880 --> 0:42:07.560
<v Speaker 4>enormous data center boom that will come to light or

0:42:07.560 --> 0:42:11.759
<v Speaker 4>are you thinking, actually, MD at this price is reflective

0:42:11.760 --> 0:42:13.839
<v Speaker 4>of perhaps not such a significant build out.

0:42:14.840 --> 0:42:15.520
<v Speaker 15>Well yeah.

0:42:15.680 --> 0:42:18.759
<v Speaker 17>And the other thing is is whenever we discover that

0:42:18.840 --> 0:42:22.239
<v Speaker 17>we don't need the brute force method, these chips will

0:42:22.280 --> 0:42:23.919
<v Speaker 17>be instrumental in that.

0:42:24.600 --> 0:42:24.839
<v Speaker 15>Right.

0:42:25.400 --> 0:42:27.759
<v Speaker 17>So I think we're going to deploy money, it's just

0:42:27.960 --> 0:42:30.640
<v Speaker 17>differently than the way we're currently thinking.

0:42:30.680 --> 0:42:33.320
<v Speaker 2>How about that, Kim Forrest.

0:42:33.400 --> 0:42:35.759
<v Speaker 3>The both of Capital Partner is Caroline made the point

0:42:35.800 --> 0:42:38.080
<v Speaker 3>of this is the key to a conversation today and

0:42:38.120 --> 0:42:40.239
<v Speaker 3>we're grateful for the robust conversation.

0:42:41.000 --> 0:42:43.680
<v Speaker 2>Good conversation. That does it for this edition of Bloomberg Tech.

0:42:44.000 --> 0:42:46.440
<v Speaker 4>It does. You should go back and listen to the conversation.

0:42:46.680 --> 0:42:48.239
<v Speaker 4>This is all of it. Don't forget to check out

0:42:48.280 --> 0:42:49.759
<v Speaker 4>the podcast. You can find it on the terminal as

0:42:49.760 --> 0:42:52.440
<v Speaker 4>well as online on Apple, Spotify and iHeart we're going

0:42:52.520 --> 0:42:55.040
<v Speaker 4>to keep on banging that druma about the AI infrastructure

0:42:55.040 --> 0:42:58.040
<v Speaker 4>build out. We give our cynics such as what we've

0:42:58.080 --> 0:43:00.319
<v Speaker 4>just heard from Kim Forrest, and we have those. I

0:43:00.360 --> 0:43:03.640
<v Speaker 4>think it is significant. Look, AMD is significant move today.

0:43:03.600 --> 0:43:07.120
<v Speaker 3>Ed Yeah, Look it's actually only his biggest jump in

0:43:07.120 --> 0:43:07.439
<v Speaker 3>a month.

0:43:07.480 --> 0:43:08.560
<v Speaker 2>But that was the whole point.

0:43:08.640 --> 0:43:11.600
<v Speaker 3>It's them outlining growth tied to the build out of

0:43:11.680 --> 0:43:14.520
<v Speaker 3>data centers. And what we're trying to understand is will

0:43:14.560 --> 0:43:16.440
<v Speaker 3>in the end we need all of them. That's what

0:43:16.480 --> 0:43:19.319
<v Speaker 3>your markets look like. This is Bloomberg Tech