WEBVTT - Investors Question AI Valuations

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<v Speaker 1>Bloomberg Tech is alive from coast to coast with Caroline

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<v Speaker 1>Hide in New York and ev Low in sentrances go.

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

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<v Speaker 3>Palenteer shares form concerns about the company's valuation and the

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<v Speaker 3>sustainability of the AI rally.

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<v Speaker 1>Thus we'll break down more tech earnings, Spotify, Uber grab

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<v Speaker 1>all out with results as well, and we push ahead

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<v Speaker 1>to am D tonight.

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<v Speaker 3>And the world's largest sovereign wealth fund vote against Tesla's

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<v Speaker 3>proposed pay package for CEO E Long. Musk will discuss

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<v Speaker 3>the impact on the company's shares.

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<v Speaker 1>But first we check out what's happening in these markets

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<v Speaker 1>more broadly. In and I'm looking at and now's that

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<v Speaker 1>one hundred that is under pressure. Look, we're only down

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<v Speaker 1>to levels well that we've seen this month, and indeed

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<v Speaker 1>it's the worst sell off since all Thursday. So this

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<v Speaker 1>isn't seismic, but there is a tension here about some

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<v Speaker 1>of the levels of valuations in certain people speaking out

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<v Speaker 1>about putting on some short bearish bets. I'm looking at Bitcoin, though,

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<v Speaker 1>has been under far more pressure. It's the lowest level

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<v Speaker 1>that we've seen since June.

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<v Speaker 4>Of this year.

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<v Speaker 1>Off by another three point three percent amid the risk

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<v Speaker 1>of tension. You're looking at some big movers underneath the herd.

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<v Speaker 2>Yeah, Tesla's down two point eight percent.

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<v Speaker 3>It had been down four percent of the open Norway's

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<v Speaker 3>Sovereign Wealth funds, Tessa's ninth largest shareholder voting against the

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<v Speaker 3>bait package. We're going to head out to Europe in

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<v Speaker 3>a minute and get more on that. And then there's

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<v Speaker 3>Palenteer strong beat in the third quarter, raising annual outlook

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<v Speaker 3>for revenue. But the cell side and investors and the

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<v Speaker 3>internet all going to valuation as a pointed discussion carro

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<v Speaker 3>commercial growth and government growth. But this isn't about fundamentals,

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<v Speaker 3>or maybe it is.

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<v Speaker 1>Let's talk about both fundamentals and valuations and talk about

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<v Speaker 1>Palenteer's earnings and the sustainability of these numbers. Of Marianna

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<v Speaker 1>Perez Mora, she has an aerospaceed defense analyst that be

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<v Speaker 1>Evasecurities with a BI rating two ondred and fifteen dollars

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<v Speaker 1>price target for Palenteer. More broadly, and I think you're

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<v Speaker 1>even upping it to two five five. Tell us about

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<v Speaker 1>why Palenteer is just outperforming. It is peerless in your perspective.

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<v Speaker 5>So first, thank you so much for having me here.

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<v Speaker 5>I'm happy to share this with you too. And I

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<v Speaker 5>think Polunteers has proven that has been the winner of

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<v Speaker 5>this AI implementation. And I mean not only about like investment,

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<v Speaker 5>but actually the growth they are unlocking the customers actually

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<v Speaker 5>go into them because they can prove that they can

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<v Speaker 5>actually extract value from these AI implementations. And it doesn't

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<v Speaker 5>only stop with those customers, but also other software peers

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<v Speaker 5>that are partnering with Palenteer because they also want to

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<v Speaker 5>be part of this. They have like really good software,

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<v Speaker 5>but they are still struggling to actually make that software work.

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<v Speaker 5>And Polunteering is like from a fundamental perspective, actually proving

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<v Speaker 5>that they can extract value from those implementations.

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<v Speaker 1>Your note is such a joy to read because you're

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<v Speaker 1>using wonderful analogies going back to the matrix, whether you're

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<v Speaker 1>going to be where you're going to red pell But

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<v Speaker 1>what's interesting is you're thinking that ultimately the red pillar

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<v Speaker 1>is there with Paneteer, and they are unlike the ninety

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<v Speaker 1>five percent of failed pilots that MIT drew a focus on,

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<v Speaker 1>they're managing to make AI work. But why what is

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<v Speaker 1>it different about dot cart Daddy Carp however you see

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<v Speaker 1>him and indeed the go to market focus that they have.

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<v Speaker 5>I think what is different first is that they have

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<v Speaker 5>been working on this infrastructure that is actually what makes

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<v Speaker 5>AI be operationable for more than twenty years. This is

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<v Speaker 5>something that today has more value than anything because of

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<v Speaker 5>like the acceleration and AI and the new software that

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<v Speaker 5>we have, but like this ontology that they have that

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<v Speaker 5>is like the data integration that can actually unlock value

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<v Speaker 5>from all these different like data parts and like have

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<v Speaker 5>the human to be able to interoperate with that that

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<v Speaker 5>has been in the works for more than twenty years,

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<v Speaker 5>and that's why they are a real winner. And from

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<v Speaker 5>a customer perspective, you have to take into account that

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<v Speaker 5>they work with the US government and they have worked

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<v Speaker 5>with the uscrment for so long, so they know how

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<v Speaker 5>to do complex operations and they are translating all that

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<v Speaker 5>know how into the commercial world. That is why I

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<v Speaker 5>think their winner. They were prepared for this.

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<v Speaker 2>Marianna.

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<v Speaker 3>A part of the pressure on the stock this morning,

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<v Speaker 3>and we need to acknowledge it is that Michael Berry

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<v Speaker 3>of the Big Short fame or Sian Asset Management his

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<v Speaker 3>firm have disclosed some various wages, including on Palenteer put options.

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<v Speaker 3>It's the form that they've taken, but there's clearly some

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<v Speaker 3>bigger picture worry about valuation and are we or are

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<v Speaker 3>we not in an AI bubble. The way that you

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<v Speaker 3>put it in your note is to discern what is

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<v Speaker 3>real and what is not real. What is it you

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<v Speaker 3>see in Palenteer that gives you the conviction it is real.

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<v Speaker 5>What makes me convinced about being real is what when

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<v Speaker 5>you hear about the customers and the transformation they are

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<v Speaker 5>seeing from implementing polunteers product. They are like actually saving money,

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<v Speaker 5>They are doing things faster, cheaper, better, smarter. Those real

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<v Speaker 5>changes are the ones that make me optimistic about it.

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<v Speaker 5>And we have said this over time. I'm really convinced

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<v Speaker 5>that even if THEI bubble were to burst, Polenteer will

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<v Speaker 5>survive because it's the structure to actually extract that value

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<v Speaker 5>and do more with AI, AI agents or whatever is

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<v Speaker 5>next from a stochastic models or anything in software and

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<v Speaker 5>computing and everything.

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<v Speaker 3>You're right that seeing is believing, Marianna. I've attended quite

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<v Speaker 3>a few AIP cons and what happens is you had

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<v Speaker 3>these customers go on stage and demo how they actually

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<v Speaker 3>use palented, Like, there are so many people out there

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<v Speaker 3>that are like, what does palenteer even too?

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<v Speaker 6>Do you know?

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<v Speaker 3>I've seen the demo and you get a sense for

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<v Speaker 3>how it works. So then that takes me to the

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<v Speaker 3>commercial growth one hundred and twenty one percent growth here

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<v Speaker 3>on year in the US. The nervousness out there is

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<v Speaker 3>that it's only the US that commercial business isn't growing internationally.

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<v Speaker 5>I think when you think about international, you have to

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<v Speaker 5>take into account two things. Number One, there are larger

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<v Speaker 5>customers there that like, we're already hardly like a lot

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<v Speaker 5>of penetrated, and that palenttary is putting their focus in

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<v Speaker 5>the US. So it's also demand is like amazing for

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<v Speaker 5>AI in general, and we see that with all the

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<v Speaker 5>capits being invested. But if you have to actually catch

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<v Speaker 5>up with that demand and execute on that, you have

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<v Speaker 5>to take into account where you put your efforts on

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<v Speaker 5>your resources, and I think it's aligned with that the

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<v Speaker 5>Palantear is putting most of their commercial resources focused in

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<v Speaker 5>the US.

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<v Speaker 3>Mariana perez More Bank of America Securities price target up

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<v Speaker 3>to two hundred and fifty five dollars, reiterating a buy

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<v Speaker 3>on Palenteer, appreciate it. That's get a lot of the

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<v Speaker 3>top story in Tesla shares down after the world's largest

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<v Speaker 3>sovereign wealth fund voted against Tesla's stock award proposal for

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<v Speaker 3>CEO Ela Musk, the biggest show of opposition yet by

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<v Speaker 3>a major shareholder in London, Bloomberg's Auto Zar crag Trudell

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<v Speaker 3>joins us as more, we're trying to tabulate in tally

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<v Speaker 3>who's voted no so far ahead of November sixth. Norway's

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<v Speaker 3>sovereign wealth fund is the ninth largest Tesla shareholder, I believe,

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<v Speaker 3>hence why we're saying this is the biggest no vote

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<v Speaker 3>so far.

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<v Speaker 7>Yeah, that's right. And they were pretty diplomatic about it.

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<v Speaker 7>They praised the value that Musk has has created over

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<v Speaker 7>the years. They refer to him as, you know, having

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<v Speaker 7>played a visionary role. And yet they're concerned just about

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<v Speaker 7>this sort of magnitude of of this award, about dilution

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<v Speaker 7>and also about the issue of sort of key man risk.

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<v Speaker 7>This is something that has been has come up time

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<v Speaker 7>and again with Musk. You know, the moment that he

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<v Speaker 7>has had someone who's emerged as sort of you know

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<v Speaker 7>who's sort of looks like a number two that person

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<v Speaker 7>doesn't seem to last very long. So in Tesla's defense,

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<v Speaker 7>I think the board has tried to take some steps

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<v Speaker 7>with this package to try and mitigate some of that

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<v Speaker 7>risk and sort of have Musk play a role in

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<v Speaker 7>in you know, succession, But the planning for that still

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<v Speaker 7>seems to be, you know, pretty much you know, sort

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<v Speaker 7>of to the side, as they really sort of focus

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<v Speaker 7>as a board on retaining him and on incentivizing him.

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<v Speaker 1>Can you take us to how they have voted in

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<v Speaker 1>prior votes on pay for Tesla or the relationship between

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<v Speaker 1>the Norwegian Weld Fund and Elon Musk going forward what

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<v Speaker 1>that means for well, really the retail base, which is

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<v Speaker 1>the big push here for many.

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<v Speaker 7>Yeah, I think as much as this no vote is concerning,

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<v Speaker 7>if if you want to see this measure pass, you know,

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<v Speaker 7>we only have to go back to last year to

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<v Speaker 7>an example of when this fund voted against a Musk

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<v Speaker 7>pay package. This was the vote on reratifying the twenty

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<v Speaker 7>eighteen award that a judge in Delaware threw out. And

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<v Speaker 7>there's there's kind of a juicy story to that in

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<v Speaker 7>that the CEO of this wealth fund, you know, kind

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<v Speaker 7>of got raked over the coals by Musk. We found

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<v Speaker 7>out later for the way that the fund voted on

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<v Speaker 7>that pay package. There was a freedom of information requests

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<v Speaker 7>for messages between the head of the fund, Nikolai Tangen

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<v Speaker 7>and Elon Musk, and Musk, you know, refer to this

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<v Speaker 7>notion that he needed to quote make amends for the

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<v Speaker 7>way that the fund voted. So there is a backstory here.

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<v Speaker 7>And as much as you know, this is maybe a

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<v Speaker 7>negative signal again if you want this to pass. We've

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<v Speaker 7>seen that it's been the case that even when this

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<v Speaker 7>fund has opposed a measure that the board has wanted

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<v Speaker 7>to see through, the board has managed to get its

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<v Speaker 7>way with its you know, in part thanks to its

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<v Speaker 7>very substantial retail investor base.

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<v Speaker 1>Great context is always pretty most creted out, so appreciate

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<v Speaker 1>you joining coming up. Grab well it Boost is early

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<v Speaker 1>forecast for the year. We speak with the CFO P

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<v Speaker 1>t Ui about the company's latest results as have been

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<v Speaker 1>their tech AI is headed for the grocery aisle. Instacart

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<v Speaker 1>is launching new AI tools, including an assistant they can

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<v Speaker 1>make product recommendations. As it really leans the e commerce

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<v Speaker 1>business into more profitable software those Natalie Lung joins us

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<v Speaker 1>to talk us through it, tell us a little bit

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<v Speaker 1>about how these actual instacar AI tools are working.

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<v Speaker 8>So instacart is building this AI chadboard as a white

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<v Speaker 8>label service for groceries, so they can actually have a

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<v Speaker 8>chatboard within let's say Kroger's own iOS app or the

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<v Speaker 8>Sprout's website app.

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<v Speaker 3>Natalie, let's head out to Uber, one of the big

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<v Speaker 3>decliners ride share good delivery, good, profit, not good.

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<v Speaker 2>What's the story then, Yes.

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<v Speaker 8>So Uber sort of reported some disappointing operating income and

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<v Speaker 8>adjusted EBITDA this morning out of the third quarter, as

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<v Speaker 8>well as some disappointing forecasts earning this forecast for the

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<v Speaker 8>four Q and so it's the profit has not been

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<v Speaker 8>catching up with some of the growth recovery. We're seeing

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<v Speaker 8>their growth reaccelerated to more than twenty percent on the

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<v Speaker 8>top line growth spookingymetric. And this is sort of attestament

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<v Speaker 8>to their strategy to go into new products, some of

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<v Speaker 8>which may not be proudable at the beginning, such as

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<v Speaker 8>autonomous investments, which they have been doing a lot of recently.

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<v Speaker 2>Most Natalie Lung, thank you very much.

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<v Speaker 3>Food delivery and right hailing company Grab raised its earnings

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<v Speaker 3>forecast for the year after carely profit top testaments. The

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<v Speaker 3>Singapore based Grab introduced new products like group food orders

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<v Speaker 3>and less expensive shared rights that helped drawing customers. Here

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<v Speaker 3>to discuss Peter Uey grabs CF. That's so interesting, right,

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<v Speaker 3>you just heard Natalie talking about Uber bringing in new

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<v Speaker 3>products that hurts profitability. Your strategy seems to me to

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<v Speaker 3>be like more affordable products for a wider audience based

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<v Speaker 3>customer base, but you're doing it in a way that

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<v Speaker 3>is accreative to your bottom line.

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<v Speaker 2>How have you done that? Let's try it.

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<v Speaker 9>We've been on point in terms of strategy making our

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<v Speaker 9>product more affordable and we really widened the top of

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<v Speaker 9>the funnel for us. If you look at the third quarter,

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<v Speaker 9>we have now forty eight monthly transacting users on our platform,

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<v Speaker 9>which is another rerecord for us. And we're also seeing

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<v Speaker 9>more you use spending on the platform at the same time,

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<v Speaker 9>so that it affordability also is pushing the average spend

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<v Speaker 9>also on our platform because they're transacting more on the platform.

0:12:48.040 --> 0:12:50.360
<v Speaker 9>If you look at the number of transactions on our platform,

0:12:50.360 --> 0:12:53.400
<v Speaker 9>we've grew twenty seven percent, which was actually growing faster

0:12:53.440 --> 0:12:56.200
<v Speaker 9>than our GMB also at the same time. So what

0:12:56.200 --> 0:12:58.640
<v Speaker 9>we're seeing is a number of things. One is people

0:12:58.679 --> 0:13:01.720
<v Speaker 9>are engaging on the platform. We're also cross selling more

0:13:01.760 --> 0:13:04.720
<v Speaker 9>also as they're coming in into certain funnels that we

0:13:04.800 --> 0:13:07.960
<v Speaker 9>have on the affordable side, they're also trying other products

0:13:08.000 --> 0:13:10.400
<v Speaker 9>that we have, whether it's the group order that you

0:13:10.520 --> 0:13:14.480
<v Speaker 9>just mentioned, whether it's the dine out features that we

0:13:14.559 --> 0:13:16.640
<v Speaker 9>have also for them to be able to go to restaurants.

0:13:16.920 --> 0:13:18.880
<v Speaker 9>So there's a lot more products that we've actually been

0:13:18.960 --> 0:13:21.400
<v Speaker 9>monetizing and that's producing some of the results that you've seen.

0:13:22.360 --> 0:13:25.559
<v Speaker 3>If you have a strategy where group food orders and

0:13:25.640 --> 0:13:29.920
<v Speaker 3>shared rides are a driver of demand, do you need

0:13:30.080 --> 0:13:34.400
<v Speaker 3>big volume in order to make this a profitable exercise?

0:13:34.440 --> 0:13:34.920
<v Speaker 2>For grab?

0:13:37.720 --> 0:13:41.400
<v Speaker 9>Obviously, scale is important. The more scale that we have,

0:13:42.040 --> 0:13:44.679
<v Speaker 9>the more users using the platform, the more we can

0:13:44.800 --> 0:13:48.160
<v Speaker 9>actually leverage the cost structure of our business and also

0:13:48.240 --> 0:13:51.320
<v Speaker 9>scale the big driver base that we have also at

0:13:51.320 --> 0:13:53.960
<v Speaker 9>the same time. So it does play a role, and

0:13:54.040 --> 0:13:56.640
<v Speaker 9>hence what you've been seeing is that now over a

0:13:56.720 --> 0:14:01.319
<v Speaker 9>third of our user base, especially in deliveries now are

0:14:01.400 --> 0:14:05.040
<v Speaker 9>coming into what we call more the affordable product stack,

0:14:05.480 --> 0:14:07.840
<v Speaker 9>and it's a great entry point for them to use.

0:14:08.520 --> 0:14:12.520
<v Speaker 9>You're looking at over twenty five million monthly transacting users

0:14:12.600 --> 0:14:15.400
<v Speaker 9>just interacting in those affordable products, just on the food

0:14:15.440 --> 0:14:18.320
<v Speaker 9>delivery side of the business. And that's a great way

0:14:18.360 --> 0:14:21.440
<v Speaker 9>for us because it enables us for those users who

0:14:21.440 --> 0:14:23.600
<v Speaker 9>are a little bit more price sensitive to try the

0:14:23.680 --> 0:14:26.520
<v Speaker 9>product first, get a taste of it. Also, they're a

0:14:26.560 --> 0:14:28.800
<v Speaker 9>little bit more price sensitive on the delivery fee, and

0:14:28.840 --> 0:14:31.000
<v Speaker 9>we've managed to be able to lower the delivery fee

0:14:31.040 --> 0:14:33.760
<v Speaker 9>for them. But they also get to experience the platform,

0:14:33.880 --> 0:14:36.240
<v Speaker 9>and once they've experienced the platform, they get to also

0:14:36.280 --> 0:14:39.360
<v Speaker 9>experience other products like grocery delivery, which is still a

0:14:39.440 --> 0:14:41.520
<v Speaker 9>very nascent business for us. It's about ten percent of

0:14:41.560 --> 0:14:44.560
<v Speaker 9>out delivery GMB. And at the same time, also we're

0:14:44.560 --> 0:14:47.040
<v Speaker 9>cross selling them to other products like dine now for

0:14:47.040 --> 0:14:49.160
<v Speaker 9>an example, for them to be able to go to restaurants.

0:14:49.360 --> 0:14:51.960
<v Speaker 1>At the same time, it's interesting that you also for

0:14:52.000 --> 0:14:53.440
<v Speaker 1>fintech as well and loans.

0:14:53.680 --> 0:14:55.880
<v Speaker 2>But I've just got to target.

0:14:55.960 --> 0:14:57.720
<v Speaker 1>The ennefit in the room is that we hear all

0:14:57.760 --> 0:15:01.000
<v Speaker 1>these growth stories, we see analyst raising price target on you,

0:15:01.080 --> 0:15:03.240
<v Speaker 1>but the shares are down on the day, Peter, and

0:15:03.560 --> 0:15:06.320
<v Speaker 1>from the conversations you had with investors and analysts. What

0:15:06.440 --> 0:15:08.600
<v Speaker 1>was it that perhaps was a little bit of concern.

0:15:08.320 --> 0:15:12.440
<v Speaker 9>About I would say any of concern. A lot of

0:15:12.480 --> 0:15:16.440
<v Speaker 9>the investors are really focused on how we are going

0:15:16.480 --> 0:15:19.000
<v Speaker 9>to finish the quarter, and I've reiterated them that were

0:15:19.000 --> 0:15:21.600
<v Speaker 9>on track to finish a very strong quarter. If anything,

0:15:21.640 --> 0:15:24.080
<v Speaker 9>that reflects on the guidance that we've given out. Also,

0:15:24.280 --> 0:15:27.760
<v Speaker 9>we've increased the EBD guidance now to four hundred and

0:15:27.840 --> 0:15:31.320
<v Speaker 9>ninety million dollars to five hundred and that's there also

0:15:31.400 --> 0:15:34.120
<v Speaker 9>shows that our confidence in terms of how we're exiting

0:15:34.200 --> 0:15:36.520
<v Speaker 9>the quarter. I've also told them that in terms of

0:15:36.560 --> 0:15:39.840
<v Speaker 9>our GM we growth, we're continuing to sustain this growth

0:15:39.880 --> 0:15:43.840
<v Speaker 9>acceleration in our business today. So we are looking to

0:15:43.920 --> 0:15:46.520
<v Speaker 9>finish strong in the quarter. One of the areas that

0:15:46.560 --> 0:15:49.880
<v Speaker 9>we're focusing also is the fintech business. We've given out

0:15:49.920 --> 0:15:52.880
<v Speaker 9>a one billion dollar loan outstanding by the end of

0:15:52.920 --> 0:15:54.920
<v Speaker 9>the year and we're on target to hit that also,

0:15:55.040 --> 0:15:57.720
<v Speaker 9>so all the different parts of the business are on

0:15:57.840 --> 0:15:59.680
<v Speaker 9>track for us to have a very strong finish of

0:15:59.720 --> 0:16:00.000
<v Speaker 9>the year.

0:16:00.240 --> 0:16:03.080
<v Speaker 1>What's also on track is early twenty twenty six Robotaxi

0:16:03.200 --> 0:16:06.240
<v Speaker 1>Chinese robotaxi company we Ride. You've been partnering there. How

0:16:06.280 --> 0:16:08.520
<v Speaker 1>are you seeing av as the key area of focus

0:16:08.640 --> 0:16:09.560
<v Speaker 1>just briefly.

0:16:10.240 --> 0:16:13.480
<v Speaker 9>Yeah, we're leaning it into av it the biggest platform

0:16:13.520 --> 0:16:16.920
<v Speaker 9>in Southeast Asia. We're leaning into the rarest part of

0:16:17.240 --> 0:16:20.440
<v Speaker 9>investments that were making. One is across learning the tech

0:16:20.520 --> 0:16:22.720
<v Speaker 9>and whether it's the wee Right partnership that we have

0:16:22.800 --> 0:16:26.040
<v Speaker 9>in Singapore. We're hoping to have the cast deployed on

0:16:26.080 --> 0:16:28.280
<v Speaker 9>the street in the first quarter to be able to

0:16:28.320 --> 0:16:31.200
<v Speaker 9>take on public passengers with the safety driver. And also

0:16:31.240 --> 0:16:34.240
<v Speaker 9>we're looking at US technology such as main Mobility. We

0:16:34.280 --> 0:16:37.120
<v Speaker 9>made an announcement we're honering with main Mobility also, So

0:16:37.120 --> 0:16:39.200
<v Speaker 9>we're looking at all the different tech and taking the

0:16:39.200 --> 0:16:41.600
<v Speaker 9>best of it and really bringing it to Southeast Asia.

0:16:42.480 --> 0:16:43.320
<v Speaker 2>Peter quickly.

0:16:43.560 --> 0:16:45.840
<v Speaker 3>You know, across the jurisdictions you operate in, do you

0:16:45.880 --> 0:16:49.880
<v Speaker 3>recognize one that is a better regulatory environment to deploy

0:16:49.960 --> 0:16:50.720
<v Speaker 3>robotaxi in.

0:16:52.600 --> 0:16:55.920
<v Speaker 9>You know, in all the countries, especially when we're studying

0:16:55.920 --> 0:16:59.880
<v Speaker 9>in Singapore, because really Singapore, when it comes to the

0:17:00.000 --> 0:17:03.600
<v Speaker 9>government regulations that the standard are very high here and

0:17:03.680 --> 0:17:05.879
<v Speaker 9>a lot of the other Southeast Asian countries tend to

0:17:05.920 --> 0:17:09.119
<v Speaker 9>look to Singapore as a proxy, So we've been working

0:17:09.240 --> 0:17:12.320
<v Speaker 9>very closely with them, and that's around safety, which is

0:17:12.359 --> 0:17:18.880
<v Speaker 9>really important, and also the customer adoption of autonomous vehicle itself.

0:17:19.040 --> 0:17:20.920
<v Speaker 9>But at the same time, also we're leaning it in

0:17:21.040 --> 0:17:23.880
<v Speaker 9>terms of how we can rescale the existing driver base

0:17:23.920 --> 0:17:27.040
<v Speaker 9>that we have here also, so we identifying new opportunities

0:17:27.040 --> 0:17:30.320
<v Speaker 9>for driver base where they become safety drivers, that become

0:17:30.359 --> 0:17:34.399
<v Speaker 9>remote drivers, fleet operators, etc. Which is really important. So

0:17:34.640 --> 0:17:37.280
<v Speaker 9>the way we're approaching AV is working with the government

0:17:37.480 --> 0:17:40.280
<v Speaker 9>but also working with the driver community and also the

0:17:40.400 --> 0:17:43.440
<v Speaker 9>end user also to be able to adopt these new technologies.

0:17:43.520 --> 0:17:45.680
<v Speaker 1>I mean, the labor impact of AI as front center.

0:17:45.720 --> 0:17:49.080
<v Speaker 1>It's interesting that you're really leaning into that, Peter, the

0:17:49.160 --> 0:17:52.359
<v Speaker 1>prioritization of innovation. How much you were able to do

0:17:52.440 --> 0:17:55.919
<v Speaker 1>that while still driving the bottom line because profitability is

0:17:55.960 --> 0:17:56.600
<v Speaker 1>being asked of you.

0:17:57.920 --> 0:18:01.120
<v Speaker 9>Yeah, we'll Actually AI is something which is very core

0:18:01.680 --> 0:18:02.399
<v Speaker 9>to grab itself.

0:18:02.440 --> 0:18:03.159
<v Speaker 2>It's not something new.

0:18:03.200 --> 0:18:05.600
<v Speaker 9>Also, we've been focusing a lot on AI about four

0:18:05.640 --> 0:18:08.560
<v Speaker 9>or five years ago. We've developed our own models actually

0:18:08.640 --> 0:18:11.960
<v Speaker 9>very early on. We now have over one thousand models

0:18:11.960 --> 0:18:14.640
<v Speaker 9>in production that we're running here. And the way we've

0:18:14.640 --> 0:18:17.359
<v Speaker 9>been operating in the last eighteen months since the technology

0:18:17.400 --> 0:18:20.680
<v Speaker 9>has advanced so much is really internally we're also using

0:18:20.720 --> 0:18:22.679
<v Speaker 9>a lot of AI of a ninety eight percent of

0:18:22.720 --> 0:18:25.879
<v Speaker 9>our engineers today use some sort of AI code assist.

0:18:26.600 --> 0:18:29.840
<v Speaker 9>What also we started to deploy is the products to

0:18:29.920 --> 0:18:33.560
<v Speaker 9>our customers. Also, we have voice activation now for the

0:18:33.680 --> 0:18:37.080
<v Speaker 9>visually impaired where they can actually just speak to our

0:18:37.119 --> 0:18:39.399
<v Speaker 9>app and able to order a food or order a

0:18:39.520 --> 0:18:44.040
<v Speaker 9>ride for an example. And also we've deployed copilot equivalent

0:18:44.080 --> 0:18:47.200
<v Speaker 9>to our driver base where they could really rely as

0:18:47.280 --> 0:18:50.320
<v Speaker 9>on with a really effective a pilot to be able

0:18:50.320 --> 0:18:53.160
<v Speaker 9>to navigate throughout their day. And also with the merchant

0:18:52.960 --> 0:18:55.520
<v Speaker 9>or merchant bot actually that we have also they can

0:18:55.560 --> 0:18:57.720
<v Speaker 9>interact with our merchants.

0:18:57.480 --> 0:18:59.719
<v Speaker 1>Staying up late for us. We so appreciate it you

0:18:59.720 --> 0:19:03.440
<v Speaker 1>do of grab the Chief Financial Officer. It's election day

0:19:03.440 --> 0:19:05.439
<v Speaker 1>in the US and millions of Americans heading to the

0:19:05.480 --> 0:19:08.320
<v Speaker 1>polls to cast ballots in local and state races. In

0:19:08.359 --> 0:19:10.960
<v Speaker 1>New York, the meyoral contest is in the spotlight Zauraen

0:19:11.000 --> 0:19:15.640
<v Speaker 1>Mamdani Andrew Cuomo Curtis leewa battle for city Hall, an

0:19:15.640 --> 0:19:18.560
<v Speaker 1>outcome that could have major implications of big tech footprint

0:19:18.640 --> 0:19:20.600
<v Speaker 1>right here in the city. Let's get the latest on

0:19:20.640 --> 0:19:22.840
<v Speaker 1>an extraordinary race for Miles Miller. What are you watching

0:19:22.840 --> 0:19:23.119
<v Speaker 1>out for?

0:19:26.040 --> 0:19:28.560
<v Speaker 6>Yeah, you know, this is going to be a race

0:19:28.680 --> 0:19:32.520
<v Speaker 6>that really is going to be either a landslide and

0:19:32.560 --> 0:19:36.199
<v Speaker 6>a mandate or a squeaker with Andrew Cuomo. But the

0:19:36.240 --> 0:19:38.640
<v Speaker 6>one thing that I think the tech community is looking

0:19:38.640 --> 0:19:42.040
<v Speaker 6>out for is if Mamdani is to win, will these

0:19:42.080 --> 0:19:44.959
<v Speaker 6>tech firms stay in New York. And the answer that

0:19:45.000 --> 0:19:48.280
<v Speaker 6>he's given is yes. He says that in a city

0:19:48.320 --> 0:19:51.679
<v Speaker 6>that is more affordable, tech firms will be able to

0:19:51.720 --> 0:19:55.800
<v Speaker 6>recruit and retain much quicker. And what he has said

0:19:55.960 --> 0:19:58.560
<v Speaker 6>is that that is what will be born out of

0:19:58.600 --> 0:20:03.240
<v Speaker 6>some of his big proposals, talking about everything from free childcare,

0:20:03.320 --> 0:20:07.200
<v Speaker 6>discounted childcare, to free buses, and he's saying that that'll

0:20:07.240 --> 0:20:10.879
<v Speaker 6>have a measurable effect on the tech community. You know,

0:20:11.000 --> 0:20:14.920
<v Speaker 6>as I speak to folks like Jeff blau At related

0:20:14.960 --> 0:20:17.880
<v Speaker 6>in some other real estate firms, they say that tech

0:20:18.000 --> 0:20:22.400
<v Speaker 6>is really starting to continue to work and stay in

0:20:22.440 --> 0:20:25.199
<v Speaker 6>New York. And you know, those were some of the

0:20:25.200 --> 0:20:29.320
<v Speaker 6>people who were backing Eric Adams and Andrew Cuomo's campaign.

0:20:29.720 --> 0:20:33.679
<v Speaker 6>Will they be able to move over and work with Mamdanni.

0:20:33.720 --> 0:20:37.840
<v Speaker 6>Mamdanni thinks yes if he is elected, because he will

0:20:38.080 --> 0:20:41.639
<v Speaker 6>have this affordability message and that will bore true. We

0:20:41.720 --> 0:20:44.199
<v Speaker 6>also know that if Andrew Cuomo were elected, you know,

0:20:44.240 --> 0:20:48.160
<v Speaker 6>he spent ten years as governor and really worked very

0:20:48.160 --> 0:20:51.560
<v Speaker 6>well with the tech community, and that's what he is

0:20:51.640 --> 0:20:52.920
<v Speaker 6>making his pitch as as well.

0:20:53.600 --> 0:20:55.600
<v Speaker 2>Bloomberg's Miles Miller, thank you very much.

0:20:55.640 --> 0:20:55.720
<v Speaker 10>Me.

0:20:55.760 --> 0:20:58.119
<v Speaker 3>While voters in New Jersey and Virginia are heading to

0:20:58.119 --> 0:21:01.520
<v Speaker 3>the polls and key gubinatorial races, contests that could shape

0:21:01.560 --> 0:21:05.600
<v Speaker 3>house states approached big tech, artificial intelligence, and data center development,

0:21:05.600 --> 0:21:08.359
<v Speaker 3>Bloomberg's remain bostic in New Jersey with the latest and

0:21:08.359 --> 0:21:11.240
<v Speaker 3>remain whether a Republican win or a Democratic win, the

0:21:11.320 --> 0:21:13.080
<v Speaker 3>considerations are very clear.

0:21:12.880 --> 0:21:17.480
<v Speaker 10>Here, yeah, ed. And in fact, this has actually become

0:21:17.520 --> 0:21:20.320
<v Speaker 10>a bit of a sleeper issue in this campaign. Remember

0:21:20.400 --> 0:21:22.399
<v Speaker 10>it was just about a year ago when one of

0:21:22.400 --> 0:21:26.879
<v Speaker 10>the main wholesalers in this region actually ended up delivering

0:21:26.920 --> 0:21:31.640
<v Speaker 10>to utilities a more than tenfold jump in wholesale electricity prices,

0:21:31.720 --> 0:21:34.639
<v Speaker 10>and that was driven almost entirely by a big build

0:21:34.640 --> 0:21:37.959
<v Speaker 10>out in data center demand earlier this year, just in

0:21:38.000 --> 0:21:40.480
<v Speaker 10>the summer of twenty twenty five, there was a fresh

0:21:40.480 --> 0:21:44.159
<v Speaker 10>auction and prices went up again more than twenty percent.

0:21:44.400 --> 0:21:47.240
<v Speaker 10>Remember these are wholesale prices, and these are prices that

0:21:47.280 --> 0:21:51.359
<v Speaker 10>are effectively a barometer on future demand for AI capacity.

0:21:51.560 --> 0:21:53.560
<v Speaker 10>And I want to put this in context for you ED.

0:21:53.840 --> 0:21:56.359
<v Speaker 10>As of right now, there is about five hundred megawatts

0:21:56.400 --> 0:21:59.920
<v Speaker 10>of AI data center capacity up and running right now,

0:22:00.000 --> 0:22:02.399
<v Speaker 10>so within a year that's likely to double. There are

0:22:02.400 --> 0:22:05.440
<v Speaker 10>two big projects under the works about one hundred plus

0:22:05.600 --> 0:22:08.040
<v Speaker 10>a mega white project being built by core Weave in

0:22:08.080 --> 0:22:10.760
<v Speaker 10>central New Jersey in the downtowntal Worth and one even

0:22:10.840 --> 0:22:14.320
<v Speaker 10>larger than that down south near Atlantic City, Carolina, and

0:22:14.320 --> 0:22:16.920
<v Speaker 10>there that's going to have a big impact on energy prices.

0:22:16.920 --> 0:22:19.600
<v Speaker 1>Great context Bimberg's remain Bostick.

0:22:19.440 --> 0:22:22.560
<v Speaker 3>And the earnings landscape. We're thinking a lot about Spotify.

0:22:22.680 --> 0:22:25.600
<v Speaker 3>This is kind of the Daniel Eck farewell tour. I

0:22:25.680 --> 0:22:27.800
<v Speaker 3>guess a little bit. Actually, Common's about to tell me

0:22:27.880 --> 0:22:29.720
<v Speaker 3>that I might be a bit wrong on that, but

0:22:30.200 --> 0:22:33.120
<v Speaker 3>the core data pretty good. Let's get more on what's

0:22:33.160 --> 0:22:35.640
<v Speaker 3>going on with Spotify Blue. It is actually common out

0:22:35.680 --> 0:22:38.480
<v Speaker 3>there on the East coast. You know, we've been through

0:22:38.520 --> 0:22:40.920
<v Speaker 3>this story with you, Daniel K. Taking a step back

0:22:41.040 --> 0:22:44.240
<v Speaker 3>the new co CEO structure, and I'm just looking at earnings.

0:22:44.640 --> 0:22:47.040
<v Speaker 3>The key metrics that matters seem to be good. They

0:22:47.080 --> 0:22:48.280
<v Speaker 3>seem to be okay.

0:22:48.240 --> 0:22:52.480
<v Speaker 11>Yeah, yeah, no great order. I think investors, you know,

0:22:52.520 --> 0:22:54.879
<v Speaker 11>there's a little bit of a loss at one point today.

0:22:56.080 --> 0:22:58.920
<v Speaker 11>I think investors really just want to hear that Spotify

0:22:58.960 --> 0:23:01.160
<v Speaker 11>is going to raise prices in the US, and they

0:23:01.240 --> 0:23:04.840
<v Speaker 11>didn't exactly hear that, so there was a little trepidation there.

0:23:04.920 --> 0:23:08.240
<v Speaker 11>But otherwise, broadly speaking, things are looking pretty good.

0:23:08.520 --> 0:23:10.639
<v Speaker 1>It does seem to be pricing power, doesn't it that

0:23:10.680 --> 0:23:13.800
<v Speaker 1>everyone's focusing in on and whether advertising can just go

0:23:13.920 --> 0:23:15.959
<v Speaker 1>up into the right In terms of that sort of oppo.

0:23:16.000 --> 0:23:18.520
<v Speaker 1>What are you hearing for the trajectory in twenty twenty six?

0:23:18.560 --> 0:23:21.920
<v Speaker 1>What are AMAS investors focusing on under the new co CEOs?

0:23:23.400 --> 0:23:26.240
<v Speaker 11>Yeah, so, well, they're focusing on a few things. AI

0:23:26.400 --> 0:23:29.520
<v Speaker 11>definitely is a big topic. Spotify is now partnering with

0:23:29.720 --> 0:23:33.360
<v Speaker 11>chat Chat GPT, so Spotify shows up in chat GPT.

0:23:33.840 --> 0:23:35.679
<v Speaker 11>They talked a lot on their earnings calls about this

0:23:35.760 --> 0:23:39.840
<v Speaker 11>idea of ubiquity, so their Apple TV app, Chat GPT

0:23:40.200 --> 0:23:42.480
<v Speaker 11>and other places where Spotify can show up to be

0:23:42.680 --> 0:23:45.800
<v Speaker 11>used everywhere people are so AI is a big conversation

0:23:45.880 --> 0:23:49.000
<v Speaker 11>for sure, but also again those prices, the investors and

0:23:49.040 --> 0:23:51.240
<v Speaker 11>the music rights holders want to see.

0:23:51.119 --> 0:23:55.159
<v Speaker 3>Higher prices actually want to go to a story that

0:23:55.240 --> 0:23:58.879
<v Speaker 3>you broke about Netflix, It's in talks to license video

0:23:59.000 --> 0:24:04.280
<v Speaker 3>podcasts from iHeartMedia. On the surface symbol headline, but it

0:24:04.320 --> 0:24:06.879
<v Speaker 3>was impactful in the moment. What have you learned in

0:24:06.920 --> 0:24:08.440
<v Speaker 3>the course of reporting about this deal?

0:24:09.800 --> 0:24:12.399
<v Speaker 11>Well, and this also relates to Spotify because Spotify was

0:24:12.440 --> 0:24:14.320
<v Speaker 11>the first one out of the gate. They announced that

0:24:14.320 --> 0:24:17.600
<v Speaker 11>they're licensing some of their video podcasts to Netflix starting

0:24:17.600 --> 0:24:20.679
<v Speaker 11>in the new year. Crucially, this means those video podcasts,

0:24:20.760 --> 0:24:24.320
<v Speaker 11>the full episodes will be removed from YouTube. So the

0:24:24.320 --> 0:24:27.639
<v Speaker 11>fact that Netflix is having conversations with additional networks like

0:24:27.760 --> 0:24:30.840
<v Speaker 11>iHeart is pretty significant. It shows that they really are

0:24:30.920 --> 0:24:34.240
<v Speaker 11>interested in at least testing out this video podcast space.

0:24:35.000 --> 0:24:38.040
<v Speaker 1>Ashley Carmen always breaking the news. We appreciate it, thanks

0:24:38.080 --> 0:24:41.040
<v Speaker 1>for joining. Let's just return to the macro picture now

0:24:41.200 --> 0:24:44.439
<v Speaker 1>around this investment landscape, because more Wall Street executives they

0:24:44.440 --> 0:24:47.280
<v Speaker 1>are sounding the alarm bell. They're saying investors should brace

0:24:47.400 --> 0:24:50.160
<v Speaker 1>for next market correction one ten percent in the next

0:24:50.200 --> 0:24:52.720
<v Speaker 1>twelve to twenty four months. Christina Hoop, a Man Group

0:24:52.760 --> 0:24:56.320
<v Speaker 1>chief market strategist, sees a mixed economic picture, saying it

0:24:56.400 --> 0:24:59.479
<v Speaker 1>is the tale of two cities, tech led success masking

0:24:59.480 --> 0:25:02.840
<v Speaker 1>broader week this elsewhere paces, say Christina Hooper joins us

0:25:02.880 --> 0:25:06.159
<v Speaker 1>now and we are on this day shining out and

0:25:06.200 --> 0:25:09.040
<v Speaker 1>palenteer for example, the sort of poster child or whether

0:25:09.119 --> 0:25:12.800
<v Speaker 1>fundamentals live up to what have been deemed nosebreed valuations

0:25:12.840 --> 0:25:17.239
<v Speaker 1>on nosebreed success stories. But how do you square that

0:25:17.440 --> 0:25:21.040
<v Speaker 1>with then the potential for a pullback in the act market.

0:25:21.040 --> 0:25:24.160
<v Speaker 12>More broadly, well, I think there is just a lot

0:25:24.200 --> 0:25:28.160
<v Speaker 12>of enthusiasm around anything that's related to AI. And I'm

0:25:28.200 --> 0:25:30.600
<v Speaker 12>old enough to remember the late nineteen nineties and how

0:25:30.680 --> 0:25:34.240
<v Speaker 12>much enthusiasm there was around any companies that were related

0:25:34.280 --> 0:25:37.320
<v Speaker 12>to the Internet. For example, everyone was scrambling to change

0:25:37.359 --> 0:25:40.480
<v Speaker 12>their name to have dot com at the end. Now

0:25:40.560 --> 0:25:43.639
<v Speaker 12>many companies are scrambling to say they are part of

0:25:43.680 --> 0:25:48.080
<v Speaker 12>this incredible AI food chain. And I think what is

0:25:48.240 --> 0:25:53.000
<v Speaker 12>happening though, is that investors may not be thinking about

0:25:53.040 --> 0:25:59.399
<v Speaker 12>what could be obstacles to the continued CAPEX boom. Around AI.

0:26:00.040 --> 0:26:02.720
<v Speaker 12>I think there are some pretty significant ones. First of all,

0:26:02.720 --> 0:26:05.960
<v Speaker 12>we knew and of course we got the deal done

0:26:06.080 --> 0:26:09.080
<v Speaker 12>on rare earth elements, but that was clearly an issue.

0:26:09.080 --> 0:26:11.560
<v Speaker 12>If you don't have access to enough rare earth elements,

0:26:11.800 --> 0:26:14.480
<v Speaker 12>that will certainly slow down an AI cap x boom.

0:26:14.800 --> 0:26:19.720
<v Speaker 12>But we also have concerns around how much productivity gains

0:26:19.760 --> 0:26:23.359
<v Speaker 12>companies will actually see. We had that MIT report that

0:26:23.400 --> 0:26:26.520
<v Speaker 12>came out last spring that suggested maybe not so much.

0:26:27.040 --> 0:26:28.879
<v Speaker 12>There could be a point where companies say, you know what,

0:26:28.920 --> 0:26:31.080
<v Speaker 12>we've thrown an enormous amount of money at this We're

0:26:31.119 --> 0:26:33.600
<v Speaker 12>not necessarily seeing all that we wanted to see. Will

0:26:33.640 --> 0:26:36.440
<v Speaker 12>slow down investment, and then finally we have the potential

0:26:36.520 --> 0:26:40.000
<v Speaker 12>for a NIMBI movement not in my backyard. In fact,

0:26:40.040 --> 0:26:43.920
<v Speaker 12>you just reported on how there are AI data centers,

0:26:44.200 --> 0:26:46.880
<v Speaker 12>and of course we're seeing a lot more news around

0:26:48.640 --> 0:26:52.000
<v Speaker 12>neighborhoods that are not thrilled to have AI there or

0:26:53.119 --> 0:26:55.680
<v Speaker 12>states that don't want to see it there because electricity

0:26:55.680 --> 0:26:56.879
<v Speaker 12>costs are going up a lot.

0:26:58.000 --> 0:27:01.160
<v Speaker 1>So there are a lot of macro elements and risk

0:27:01.280 --> 0:27:04.679
<v Speaker 1>factors to the endless money that's being thrown at the

0:27:04.960 --> 0:27:06.959
<v Speaker 1>desire to build out by the hyper scale as we've

0:27:06.960 --> 0:27:10.120
<v Speaker 1>seen in their earnings, but more about the valuation from

0:27:10.160 --> 0:27:12.080
<v Speaker 1>because I can understand how people. Is that really what

0:27:12.119 --> 0:27:14.040
<v Speaker 1>takes the wind out of the sales of valuations or

0:27:14.040 --> 0:27:16.399
<v Speaker 1>is it more of a Michael Berry perspective that you know,

0:27:16.440 --> 0:27:18.639
<v Speaker 1>there's just an awful lot of endless capital expenditure and

0:27:18.680 --> 0:27:21.840
<v Speaker 1>also cloud growth similarities that seem to be slowing down,

0:27:21.840 --> 0:27:24.000
<v Speaker 1>and he's trying to say that, you know, maybe it's

0:27:24.040 --> 0:27:26.440
<v Speaker 1>time to bet against just how far we've run rather

0:27:26.480 --> 0:27:27.520
<v Speaker 1>than the future risks.

0:27:28.080 --> 0:27:34.000
<v Speaker 12>Absolutely, I think it's both. There are certainly real question marks.

0:27:34.080 --> 0:27:37.440
<v Speaker 12>I think about how much more investment we'll see companies

0:27:37.520 --> 0:27:41.480
<v Speaker 12>make without seeing you know, sort of significant gains and

0:27:41.560 --> 0:27:45.440
<v Speaker 12>perhaps recognizing that there could be some overlap. There could

0:27:45.520 --> 0:27:52.840
<v Speaker 12>be there could be more discretion and more thoughtfulness around spending.

0:27:53.119 --> 0:27:55.880
<v Speaker 12>So I certainly think there's there's a little of both there.

0:27:56.440 --> 0:28:00.920
<v Speaker 12>I just as an outside observer seeing the credible, incredible

0:28:00.960 --> 0:28:04.119
<v Speaker 12>amount of money and excitement, there's nothing like it. I

0:28:04.119 --> 0:28:06.320
<v Speaker 12>think since what we've seen in the late nineteen nineties,

0:28:06.640 --> 0:28:08.800
<v Speaker 12>we know how that ended, so we should just think

0:28:08.800 --> 0:28:11.359
<v Speaker 12>of it as a cautionary tale and say, hey, maybe

0:28:11.359 --> 0:28:13.720
<v Speaker 12>we should be diversified. Maybe we should have some exposure

0:28:13.760 --> 0:28:18.080
<v Speaker 12>to China AI, given that the risks aren't the same,

0:28:18.119 --> 0:28:20.240
<v Speaker 12>the vulnerabilities aren't necessarily the same.

0:28:20.280 --> 0:28:24.879
<v Speaker 2>There, let's go back to the tail of two cities thesis.

0:28:24.880 --> 0:28:30.320
<v Speaker 3>So American technology at least good, but papering over some cracks.

0:28:30.920 --> 0:28:32.159
<v Speaker 2>What are those cracks?

0:28:32.200 --> 0:28:35.360
<v Speaker 3>Tell our audience more about the warning signs you're seeing

0:28:35.760 --> 0:28:37.240
<v Speaker 3>in other parts of this economy.

0:28:37.320 --> 0:28:39.560
<v Speaker 2>Christina, So, I certainly.

0:28:39.200 --> 0:28:45.040
<v Speaker 12>Think we are seeing consumer weakness, especially among lower income consumers,

0:28:45.120 --> 0:28:48.600
<v Speaker 12>but also some middle income consumers. And I think we

0:28:48.600 --> 0:28:51.719
<v Speaker 12>can just look to the Chipotle earnings call last week

0:28:52.200 --> 0:28:56.520
<v Speaker 12>for signs of that growing weakness. September and October were

0:28:56.640 --> 0:29:00.680
<v Speaker 12>difficult months where the frequency of visits went down for

0:29:00.920 --> 0:29:05.480
<v Speaker 12>a lot of customers, many of whom are young, and

0:29:05.720 --> 0:29:10.200
<v Speaker 12>so that could very well be giving us an inclination

0:29:10.440 --> 0:29:13.720
<v Speaker 12>of what could come and what could spread. Because keep

0:29:13.720 --> 0:29:17.200
<v Speaker 12>in mind, we are seeing a lot of white collar

0:29:17.320 --> 0:29:21.520
<v Speaker 12>job layoffs being announced. We could see more coming and

0:29:21.560 --> 0:29:27.280
<v Speaker 12>that will likely impact middle to higher income consumers, many

0:29:27.320 --> 0:29:32.120
<v Speaker 12>of whom are spending still spending quite robustly, and that

0:29:32.200 --> 0:29:36.840
<v Speaker 12>could create a much bigger problem for the economy. Thus far,

0:29:37.040 --> 0:29:40.440
<v Speaker 12>it's been a two legged stool, and it could very

0:29:40.440 --> 0:29:42.240
<v Speaker 12>well go down to one and a half legs.

0:29:42.840 --> 0:29:45.400
<v Speaker 3>So this is very interesting going into the holiday quarter.

0:29:45.640 --> 0:29:47.920
<v Speaker 3>Maybe this is not the right data set. That Apple

0:29:48.000 --> 0:29:51.600
<v Speaker 3>told us last week that revenue going into the holiday

0:29:51.640 --> 0:29:56.240
<v Speaker 3>quarters would be up ten to twelve percent, That indicating

0:29:56.320 --> 0:29:58.640
<v Speaker 3>that in the middle to hire income in is they'll

0:29:58.640 --> 0:30:01.400
<v Speaker 3>go out and spend money on iPhone. I guess that

0:30:01.560 --> 0:30:04.240
<v Speaker 3>how does that set us us up for the holiday

0:30:04.320 --> 0:30:06.680
<v Speaker 3>quarter and how we view this economy.

0:30:07.080 --> 0:30:09.720
<v Speaker 12>Well, we could still have a very strong holiday quarter

0:30:09.880 --> 0:30:14.400
<v Speaker 12>driven by those higher income consumers. My concern though, is

0:30:14.480 --> 0:30:17.000
<v Speaker 12>that there are vulnerabilities there, and especially as we go

0:30:17.040 --> 0:30:19.680
<v Speaker 12>into twenty twenty six, we could see more in the

0:30:19.680 --> 0:30:22.800
<v Speaker 12>way of white collar layoffs. We also know that the

0:30:23.000 --> 0:30:26.320
<v Speaker 12>higher income consumers are not so sensitive to inflation, but

0:30:26.360 --> 0:30:30.240
<v Speaker 12>they are very sensitive to the stock market, and so

0:30:30.280 --> 0:30:32.280
<v Speaker 12>if we were to see some kind of stock market

0:30:32.360 --> 0:30:35.320
<v Speaker 12>sell off, think that would be problematic and would certainly

0:30:35.360 --> 0:30:37.880
<v Speaker 12>reduce high end consumer spending as well.

0:30:38.120 --> 0:30:40.000
<v Speaker 1>Christina, I want to go back to something you said

0:30:40.360 --> 0:30:43.600
<v Speaker 1>that maybe you diversify into China. Ai had a great

0:30:43.600 --> 0:30:46.160
<v Speaker 1>conversation with Man Deep just on the side of the set.

0:30:46.200 --> 0:30:48.360
<v Speaker 1>He's oblom Bug intelligence analysts. He's just been to Asian

0:30:48.400 --> 0:30:50.440
<v Speaker 1>he said, they're doing it so differently there because they

0:30:50.480 --> 0:30:54.040
<v Speaker 1>cannot depend on in video chips being limitless. They are

0:30:54.200 --> 0:30:56.840
<v Speaker 1>underaware of the geopolitical risks, maybe in the way that

0:30:56.880 --> 0:30:59.800
<v Speaker 1>the US ones are putting rare rest to one side,

0:31:00.040 --> 0:31:02.800
<v Speaker 1>which China names and how does one get exposure to

0:31:02.840 --> 0:31:03.800
<v Speaker 1>that from your mindset?

0:31:04.520 --> 0:31:08.280
<v Speaker 12>So I can't name specific companies, but I can say

0:31:08.360 --> 0:31:10.719
<v Speaker 12>that there are so many that look very attractive, that

0:31:10.760 --> 0:31:14.040
<v Speaker 12>have much lower valuations and are part of that AI

0:31:14.440 --> 0:31:19.400
<v Speaker 12>food chain and that capex spending. I think we'll see

0:31:19.440 --> 0:31:24.640
<v Speaker 12>more dollars go there, and certainly it's in earlier innings

0:31:24.760 --> 0:31:27.360
<v Speaker 12>in Asia, so I think we have a longer runway there.

0:31:28.720 --> 0:31:30.880
<v Speaker 2>Christina Hooper of Man Group. Great to have you back

0:31:30.920 --> 0:31:32.640
<v Speaker 2>on Bloomberg Tech. Thank you very much.

0:31:32.680 --> 0:31:36.440
<v Speaker 3>Now coming up, Snowflake CEO Shwida Ramaswami joins us talk

0:31:36.440 --> 0:31:40.760
<v Speaker 3>about the company's latest partnerships to expand AI enterprise access.

0:31:40.840 --> 0:31:45.520
<v Speaker 3>This on a day when investors are broadly questioning AI valuations,

0:31:45.520 --> 0:31:47.400
<v Speaker 3>particularly in the software space.

0:31:47.720 --> 0:31:49.960
<v Speaker 2>That conversation's next. This is Bloomberg Tech.

0:32:00.160 --> 0:32:01.920
<v Speaker 1>Now for Talking Tech and first s up in video

0:32:01.960 --> 0:32:04.360
<v Speaker 1>and Deutsche telecom One have enveiled plans to build out

0:32:04.360 --> 0:32:06.880
<v Speaker 1>a one point two billion dollar data center in Germany,

0:32:06.960 --> 0:32:09.840
<v Speaker 1>boosting Europ's AI infrastructure. The facility will it's set to

0:32:09.880 --> 0:32:12.040
<v Speaker 1>be one of Europe's largest in the region, expected to

0:32:12.040 --> 0:32:15.000
<v Speaker 1>begin operations in the first quarter of twenty twenty six.

0:32:15.360 --> 0:32:18.160
<v Speaker 1>Plus a two hundred and forty percent rally in sgay

0:32:18.280 --> 0:32:21.960
<v Speaker 1>Heinez shares that's in this year alone explanted a warning

0:32:22.000 --> 0:32:24.200
<v Speaker 1>from the Career Exchange, signaling that the stock may have

0:32:24.320 --> 0:32:28.000
<v Speaker 1>been overheating. The exchange has issued an investment caution on

0:32:28.040 --> 0:32:31.120
<v Speaker 1>the chip maker following a surge driven by booming demand

0:32:31.160 --> 0:32:34.440
<v Speaker 1>for AI memory chips, and Nintendo is raising its sales

0:32:34.480 --> 0:32:37.400
<v Speaker 1>forecast for the switch to now expecting to sell nineteen

0:32:37.480 --> 0:32:39.680
<v Speaker 1>million units by March twenty twenty six, up from its

0:32:39.680 --> 0:32:43.280
<v Speaker 1>early projection of fifteen million. The upbeat outlook follows strong

0:32:43.400 --> 0:32:45.880
<v Speaker 1>early demand for the company, reporting of a ten million

0:32:45.960 --> 0:32:47.959
<v Speaker 1>units sold by the end of September.

0:32:48.160 --> 0:32:53.080
<v Speaker 3>Ed Okay Snowflake is announcing a series of new and

0:32:53.280 --> 0:32:56.440
<v Speaker 3>expanded partnerships part of the company's effort to become the

0:32:56.720 --> 0:33:00.680
<v Speaker 3>data center platform of choice for enterprise AI. Snowfla CEO

0:33:01.040 --> 0:33:04.200
<v Speaker 3>Shrida Ramaswami joins us to discuss each of them. The

0:33:04.240 --> 0:33:07.160
<v Speaker 3>one that caught my eye was the relationship with Google

0:33:07.200 --> 0:33:10.840
<v Speaker 3>Cloud and bringing the availability of the latest.

0:33:10.560 --> 0:33:12.920
<v Speaker 2>Gemini models to Snowflake.

0:33:13.360 --> 0:33:15.120
<v Speaker 3>And the reason I want to start with that is

0:33:15.880 --> 0:33:18.479
<v Speaker 3>you are all about choice, right because you can look

0:33:18.520 --> 0:33:21.760
<v Speaker 3>at anthropic OAI. But there must have been an indication

0:33:21.920 --> 0:33:25.480
<v Speaker 3>to U Shreda that those Gemini models are in demand

0:33:25.880 --> 0:33:27.120
<v Speaker 3>amongst your customer base.

0:33:28.360 --> 0:33:28.560
<v Speaker 10>Here.

0:33:28.680 --> 0:33:29.680
<v Speaker 2>It's great to be here.

0:33:29.840 --> 0:33:34.880
<v Speaker 13>Absolutely, Gemini models are among the best in the world

0:33:35.200 --> 0:33:38.280
<v Speaker 13>and a lot of our customers are asking for access

0:33:38.320 --> 0:33:41.000
<v Speaker 13>to these models. We are thrilled to be expanding our

0:33:41.120 --> 0:33:44.480
<v Speaker 13>partnership with Google Blogs similar to what we have done

0:33:44.680 --> 0:33:48.000
<v Speaker 13>with our big partners AWS and Azure.

0:33:48.040 --> 0:33:49.479
<v Speaker 2>Is a big step forward for us.

0:33:50.760 --> 0:33:53.680
<v Speaker 3>Can you just explain the basics of the Snowflake business model.

0:33:53.680 --> 0:33:57.040
<v Speaker 3>We always talk about Snowflake being a different layer above

0:33:57.080 --> 0:34:00.320
<v Speaker 3>the primary cloud. But why is it important that through

0:34:00.400 --> 0:34:05.040
<v Speaker 3>cotex AI your platform, any given enterprise customer can access

0:34:05.080 --> 0:34:06.000
<v Speaker 3>the underlying model.

0:34:07.040 --> 0:34:10.120
<v Speaker 13>This is a great question. Snowflake is the data layer

0:34:10.320 --> 0:34:14.720
<v Speaker 13>that sits above cloud service providers the AWS and Azure

0:34:14.840 --> 0:34:19.000
<v Speaker 13>and GCP. We are very much a data centric platform.

0:34:19.040 --> 0:34:23.400
<v Speaker 13>We are about making it really easy to ingest, clean

0:34:23.640 --> 0:34:25.800
<v Speaker 13>and be able to run analytics on top of the

0:34:25.920 --> 0:34:29.960
<v Speaker 13>data and AI, especially Snowflake Intelligence that we are launching,

0:34:30.160 --> 0:34:34.040
<v Speaker 13>is a game changer because it brings the access the

0:34:34.160 --> 0:34:37.880
<v Speaker 13>power of all the data directly to end users and

0:34:38.000 --> 0:34:42.359
<v Speaker 13>what required dashboards, what required analysis right now at the fingertips,

0:34:42.400 --> 0:34:46.040
<v Speaker 13>at the voices of every single person. And that's the

0:34:46.080 --> 0:34:50.480
<v Speaker 13>reason why Snowflake plays such a critical role. We are

0:34:50.640 --> 0:34:54.560
<v Speaker 13>among the best data platforms that run on top of

0:34:54.800 --> 0:34:59.319
<v Speaker 13>the hyperscalers and it is that that gives us incredible

0:34:59.360 --> 0:35:03.520
<v Speaker 13>ability to create value using AI with partnerships with the

0:35:03.560 --> 0:35:05.359
<v Speaker 13>best folks in the world. The open AI is an

0:35:05.360 --> 0:35:06.360
<v Speaker 13>anthropic and now.

0:35:06.239 --> 0:35:10.160
<v Speaker 1>Gemini creating value. I think that has been the proof point,

0:35:10.239 --> 0:35:13.200
<v Speaker 1>the watchword of this entire year. Strata. How can you

0:35:13.880 --> 0:35:16.560
<v Speaker 1>turn to our audience and say this is return on

0:35:16.640 --> 0:35:19.440
<v Speaker 1>AI investment, this is what my customers are experiencing.

0:35:20.680 --> 0:35:23.480
<v Speaker 13>This is a great question. First of all, our model

0:35:23.640 --> 0:35:28.520
<v Speaker 13>is a consumption model, meaning that Snowflake doesn't get paid.

0:35:28.520 --> 0:35:33.160
<v Speaker 13>We don't get to recognize revenue unless customers actually use products.

0:35:33.160 --> 0:35:37.320
<v Speaker 13>We don't sell subscriptions that automatically ties us to utility

0:35:37.560 --> 0:35:40.480
<v Speaker 13>that we create with our AI products. We work with

0:35:40.520 --> 0:35:44.759
<v Speaker 13>our customers, whether it is a ts Imagine or the

0:35:44.840 --> 0:35:49.360
<v Speaker 13>USA bobsled team, to create products that they get additional

0:35:49.440 --> 0:35:53.880
<v Speaker 13>value from, for example, often replacing an existing dashboarding solution

0:35:54.239 --> 0:35:59.640
<v Speaker 13>like we have done at Snowflake. You're confident that using

0:35:59.680 --> 0:36:03.600
<v Speaker 13>snowf like intelligence, we can replace a bunch of dashboards

0:36:03.640 --> 0:36:07.160
<v Speaker 13>and run the entire data access in a much more

0:36:07.200 --> 0:36:10.600
<v Speaker 13>flexible way for a fraction of the cost. We very

0:36:10.680 --> 0:36:14.880
<v Speaker 13>much believe in showing ROI return on investment for every

0:36:14.920 --> 0:36:18.480
<v Speaker 13>single project that we do, and the consumption model is

0:36:18.480 --> 0:36:21.080
<v Speaker 13>a huge help here because if the product isn't used,

0:36:21.520 --> 0:36:23.080
<v Speaker 13>there's no revenue on our site.

0:36:23.280 --> 0:36:26.560
<v Speaker 1>So should I. When we're talking in the market, writ

0:36:26.640 --> 0:36:29.759
<v Speaker 1>large about warriors of an AI bubble as people are

0:36:30.040 --> 0:36:32.880
<v Speaker 1>perhaps selling certain names because they feel that the fundamentals

0:36:32.920 --> 0:36:36.839
<v Speaker 1>have become dislocated with the actual valuation of companies. How

0:36:36.880 --> 0:36:39.080
<v Speaker 1>are you thinking in this your context? How are you

0:36:39.440 --> 0:36:42.880
<v Speaker 1>worrying perhaps that companies will stop their spending until they

0:36:42.920 --> 0:36:44.399
<v Speaker 1>get ROAI in the near term.

0:36:45.920 --> 0:36:48.000
<v Speaker 13>Well, this is where as I said, our model is

0:36:48.080 --> 0:36:52.600
<v Speaker 13>very very helpful because we don't ask for investments ahead

0:36:53.080 --> 0:36:56.720
<v Speaker 13>of the return. Very much we create pilots, we create

0:36:57.480 --> 0:37:01.280
<v Speaker 13>proofs of concept and show value to your to our customers,

0:37:01.280 --> 0:37:04.760
<v Speaker 13>and only then is it scaled. In our own example,

0:37:04.880 --> 0:37:08.320
<v Speaker 13>we launched a tool that indexed all of the enablement information,

0:37:08.440 --> 0:37:11.319
<v Speaker 13>the education information for our sales team, and then we

0:37:11.360 --> 0:37:13.600
<v Speaker 13>started putting more and more things. Now all of our

0:37:13.640 --> 0:37:16.600
<v Speaker 13>sales information lives in a single agent is used pretty

0:37:16.640 --> 0:37:20.640
<v Speaker 13>much by everyone in the salesfork, certainly me at Snowflake.

0:37:20.680 --> 0:37:22.960
<v Speaker 13>It is that step by step launch and not a

0:37:22.960 --> 0:37:26.719
<v Speaker 13>big bang launch that is also important. And keeping that

0:37:26.800 --> 0:37:31.480
<v Speaker 13>focus on what are projects that go about creating value?

0:37:31.560 --> 0:37:35.719
<v Speaker 13>Are they replacing existing systems? Are they lowering costs? That

0:37:35.800 --> 0:37:39.360
<v Speaker 13>kind of moniaical focus is what is helping us successful

0:37:39.680 --> 0:37:43.440
<v Speaker 13>even in the AI era, because we very carefully tally

0:37:43.560 --> 0:37:45.600
<v Speaker 13>all of this up and make sure that our customers

0:37:45.680 --> 0:37:48.200
<v Speaker 13>feel like we are creating value every step of the way.

0:37:49.560 --> 0:37:54.640
<v Speaker 3>STREETA, are we or are we not in an AI bubble?

0:37:55.080 --> 0:37:57.920
<v Speaker 3>Based on what you're saying every day through Snowflake.

0:37:59.000 --> 0:38:03.640
<v Speaker 13>Well, absolutely there's a lot of enthusiasm about it. But

0:38:03.880 --> 0:38:08.600
<v Speaker 13>at Snowflake, I and every employee at Snowflake is focused

0:38:08.680 --> 0:38:11.719
<v Speaker 13>on what does this mean for our customers? We are

0:38:11.760 --> 0:38:15.320
<v Speaker 13>back to basics. We created Snowflake Intelligence because we wanted

0:38:15.360 --> 0:38:19.720
<v Speaker 13>to bring the power of agentic AI to every single

0:38:20.040 --> 0:38:24.000
<v Speaker 13>user within a company in a meaningful way. We wanted

0:38:24.000 --> 0:38:26.799
<v Speaker 13>to make sure that data analysts who mind you get

0:38:26.800 --> 0:38:30.600
<v Speaker 13>paid a lot, are focused on helping create data agents

0:38:30.680 --> 0:38:33.400
<v Speaker 13>rather than writing endless equal queries as I've done in

0:38:34.480 --> 0:38:39.120
<v Speaker 13>my life, and that focus on what are projects that

0:38:39.200 --> 0:38:41.680
<v Speaker 13>can create value for our customers. How do we get

0:38:41.719 --> 0:38:45.120
<v Speaker 13>them to production fast? How do we show the return

0:38:45.200 --> 0:38:49.439
<v Speaker 13>to them is what we can do? The outside market valuations,

0:38:49.520 --> 0:38:52.080
<v Speaker 13>those things are distractions. I think the more we focus

0:38:52.160 --> 0:38:54.480
<v Speaker 13>on back to basics, the better off we are.

0:38:54.920 --> 0:38:57.520
<v Speaker 1>Should Ramswami, it's great to get back to basics with

0:38:57.560 --> 0:39:00.000
<v Speaker 1>the Snowflake CEO. We appreciate your time.

0:39:00.680 --> 0:39:03.680
<v Speaker 3>AMD sets report earnings after the closing bell, and the

0:39:03.719 --> 0:39:06.920
<v Speaker 3>results should give an indication of how the company's AI

0:39:07.000 --> 0:39:09.920
<v Speaker 3>push is going. Investor sentiment has been strong after the

0:39:10.000 --> 0:39:13.400
<v Speaker 3>chipmakers signed deals with open Ai and Oracle to deliver

0:39:13.520 --> 0:39:16.759
<v Speaker 3>massive amounts of its latest AI chips. Let's get more

0:39:16.800 --> 0:39:21.319
<v Speaker 3>with Bloomberg Semiconductor reporter Ian King, it's probably a good

0:39:21.320 --> 0:39:23.759
<v Speaker 3>moment to look at what the forecasted revenue is for

0:39:23.800 --> 0:39:26.400
<v Speaker 3>the period, and how much of that is data center

0:39:26.440 --> 0:39:29.960
<v Speaker 3>revenue because the reality is, for all the headlines and

0:39:30.000 --> 0:39:33.520
<v Speaker 3>that stock performance over the last two months, AMD is

0:39:33.719 --> 0:39:36.760
<v Speaker 3>just still a much smaller second player behind Video.

0:39:37.120 --> 0:39:37.319
<v Speaker 6>Yeah.

0:39:37.360 --> 0:39:42.040
<v Speaker 4>I mean, it's not getting in annual revenue what in

0:39:42.200 --> 0:39:44.120
<v Speaker 4>Vidia is getting in a year. And the story is

0:39:44.160 --> 0:39:46.400
<v Speaker 4>as simple as that. But what we've seen over the

0:39:46.440 --> 0:39:50.120
<v Speaker 4>last three months is maybe AMD has a seat at

0:39:50.160 --> 0:39:52.480
<v Speaker 4>the table now maybe you know, we've seen some validation

0:39:52.600 --> 0:39:55.840
<v Speaker 4>of its technology in these deals. Whether that translates in

0:39:55.880 --> 0:39:59.840
<v Speaker 4>the short term to stronger revenue and stronger revenue forecast

0:40:00.080 --> 0:40:03.120
<v Speaker 4>think importantly is going to be what determines the reaction today.

0:40:03.800 --> 0:40:06.040
<v Speaker 1>There's been a lot of people trying to interpret who

0:40:06.080 --> 0:40:08.480
<v Speaker 1>the key clients are. I think link secretary strategies really

0:40:08.480 --> 0:40:11.720
<v Speaker 1>saying the key client for MD is metter and actually

0:40:11.760 --> 0:40:14.640
<v Speaker 1>how real some of these longer term deals are in

0:40:14.760 --> 0:40:17.000
<v Speaker 1>how much vindication is Lisa's who's going to give tonight

0:40:17.080 --> 0:40:19.719
<v Speaker 1>or is it all about the analysts meeting that's coming

0:40:19.800 --> 0:40:20.640
<v Speaker 1>up in the next week.

0:40:22.040 --> 0:40:24.839
<v Speaker 4>It'll be both. I think up until now everybody has

0:40:24.880 --> 0:40:28.120
<v Speaker 4>sort of been AMD curious. Will you know we should

0:40:28.160 --> 0:40:30.880
<v Speaker 4>give them a chance, We should give them you know

0:40:31.280 --> 0:40:34.400
<v Speaker 4>a look and maybe see if they're a viable alternative.

0:40:34.719 --> 0:40:38.719
<v Speaker 4>These deals apparently tell people know their technology is real.

0:40:38.800 --> 0:40:40.960
<v Speaker 4>So what they will want from Lisa is the numbers.

0:40:41.000 --> 0:40:43.400
<v Speaker 4>If she doesn't give them the numbers the strong forecast,

0:40:43.680 --> 0:40:46.399
<v Speaker 4>they'll want a pretty good explanation of why not now

0:40:46.440 --> 0:40:48.000
<v Speaker 4>and if not why now then?

0:40:48.040 --> 0:40:52.799
<v Speaker 3>When AMD's traditional market is processes for personal computers and

0:40:52.840 --> 0:40:56.439
<v Speaker 3>servers away from the AI chip, what do we think

0:40:56.520 --> 0:40:57.239
<v Speaker 3>will learn there?

0:40:57.520 --> 0:40:59.680
<v Speaker 4>Yeah, I know there are very strong expectations there. You'll

0:40:59.719 --> 0:41:01.880
<v Speaker 4>remember Intel came out and said, hey, we were worried

0:41:01.880 --> 0:41:04.040
<v Speaker 4>that things were in trouble there and that we've got

0:41:04.080 --> 0:41:06.799
<v Speaker 4>a lot of inventory. Turns out demands really strong for

0:41:06.880 --> 0:41:10.920
<v Speaker 4>aipcs and for standard server parts. AMD is actually taking

0:41:11.000 --> 0:41:13.960
<v Speaker 4>market share or has been taking market share from Intel.

0:41:14.200 --> 0:41:16.600
<v Speaker 4>So the expectations there are very strong and that could

0:41:16.600 --> 0:41:17.840
<v Speaker 4>help the near term numbers.

0:41:18.520 --> 0:41:21.960
<v Speaker 1>It's relentless these earnings in inkings across it throughout for us,

0:41:22.040 --> 0:41:24.600
<v Speaker 1>we so appreciate it. Thank you all things AMD after

0:41:24.600 --> 0:41:26.600
<v Speaker 1>the bell, but that as I from this edition a

0:41:26.680 --> 0:41:28.839
<v Speaker 1>Bloomberg techn YEP.

0:41:28.920 --> 0:41:31.440
<v Speaker 3>Don't forget to check out the pod to recap the show.

0:41:31.880 --> 0:41:34.360
<v Speaker 3>There is so much going on in this earning season

0:41:34.600 --> 0:41:39.560
<v Speaker 3>and in the background anxiety about valuation and bubbles. Two

0:41:39.600 --> 0:41:43.240
<v Speaker 3>day's time of vote on Elon Musk's proposed one trillion

0:41:43.280 --> 0:41:46.600
<v Speaker 3>dollar pay package and earnings, no matter how good they

0:41:46.600 --> 0:41:51.880
<v Speaker 3>are carriers Impalent's case, valuation is what we're all concerned about.

0:41:52.440 --> 0:41:54.200
<v Speaker 3>I alluded to it and many of you use it.

0:41:54.400 --> 0:41:56.719
<v Speaker 3>Listen to the podcast. It's very good, if we say

0:41:56.760 --> 0:41:59.040
<v Speaker 3>so ourselves. You know where to find it. It's on

0:41:59.080 --> 0:42:02.400
<v Speaker 3>the Bloomberg platform as well as online on Apple, Spotify,

0:42:02.719 --> 0:42:05.239
<v Speaker 3>and iHeart this is Bloomberg Tech.

0:42:08.040 --> 0:42:08.080
<v Speaker 1>H