WEBVTT - Nvidia’s Magic Fades

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<v Speaker 1>From the heart where Innovation, money and power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed lud.

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<v Speaker 3>Love live from New York.

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<v Speaker 4>This is Bloomberg Technology coming up in video.

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<v Speaker 3>Says it's new.

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<v Speaker 4>Chipper on track, but the rush to get the product

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<v Speaker 4>lineup out the door is.

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<v Speaker 3>Proving more costly than expected.

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<v Speaker 4>Plus, Bitcoin rises to new heights as the Trump transition

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<v Speaker 4>team weighs the creation of a dedicated white house cryptopost

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<v Speaker 4>and the CEO of Palo Alto Networks joins on the

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<v Speaker 4>heels of its earnings.

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<v Speaker 3>We'll discuss how AI can.

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<v Speaker 4>Help stop the threats of the future, but first we

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<v Speaker 4>get straight to the world of in video and indeed

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<v Speaker 4>the points trag that it's having on the Nasdaq is

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<v Speaker 4>somewhat We're off by eighteen percent, but it's been a

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<v Speaker 4>volatile day of trade as people.

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<v Speaker 3>Try to pass.

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<v Speaker 4>Ultimately, how strong future growth still looks under in video

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<v Speaker 4>and indeed the supply side headaches that much has been discussed.

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<v Speaker 4>Let's get straight to within King and look, we'd all

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<v Speaker 4>been fretting about Blackwell the product lineup, how easily it

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<v Speaker 4>is to get into customers. Hans did Jensen Wong manage

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<v Speaker 4>to calm investors' nerves?

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<v Speaker 5>I mean, obviously to an extent. We haven't seen the

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<v Speaker 5>massive fall off that we've seen manifest previously with concerns.

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<v Speaker 5>He talked about, Yeah, we're getting it to market. We're

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<v Speaker 5>actually going to be probably getting more to market than

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<v Speaker 5>we had thought we would. At the same time, it's

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<v Speaker 5>going to cost us.

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<v Speaker 4>Yeah, let's just weigh in on the profit margins, because

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<v Speaker 4>you do such a great job at giving the context here. Ultimately,

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<v Speaker 4>this is a company that gave us ninety four percent

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<v Speaker 4>increase in revenue in the third courting guided to another

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<v Speaker 4>seventy percent increase, give or take plus or minus two percent.

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<v Speaker 4>But the profitability is what just coming down ever so

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<v Speaker 4>slightly to what seventy three to seventy four percent margin?

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<v Speaker 5>That's right, I mean, I think that's the right way

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<v Speaker 5>to look at it. They've set such high expectations, right,

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<v Speaker 5>they were at seventy five percent, which had narrowed slightly.

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<v Speaker 5>But seventy five percent is like software mhudgeons, Right, this

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<v Speaker 5>is a semiconductor company, right, you know, AMD's twenty points

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<v Speaker 5>south of that. You know, Intel isn't even in the

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<v Speaker 5>same zip code right now. So yes, they're losing a

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<v Speaker 5>few points because they're spending more in engineering to get

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<v Speaker 5>those chips out, get those systems in place quicker.

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<v Speaker 2>But really this is a very very high bar.

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<v Speaker 4>And then full production comes what the back end of

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<v Speaker 4>their fiscal twenty twenty five in. But I suppose they

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<v Speaker 4>still have to address the issue that. Sure they're getting

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<v Speaker 4>them out the door, but it's to the same kind

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<v Speaker 4>of companies. How are they managing to diversify their demand base?

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<v Speaker 5>Well, I mean that was one of the things that

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<v Speaker 5>we saw in the release. They're not right. The amount

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<v Speaker 5>of revenue coming from those big companies, the Microsoft's, the

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<v Speaker 5>Amazons has actually gone up from forty five percent to

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<v Speaker 5>fifty percent, So like half of the most important divisi

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<v Speaker 5>that they have is dependent upon just a few companies.

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<v Speaker 5>Investors are definitely concerned about that. Why they're concerned about

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<v Speaker 5>that because these companies are making their own chips, trying

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<v Speaker 5>in effect to replace in video and everybody else that

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<v Speaker 5>supplies them.

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<v Speaker 4>Is there any real competition here, because we've heard it

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<v Speaker 4>time and time again that as much as AMD tries,

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<v Speaker 4>as much as Intel tries, really in videos, the any

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<v Speaker 4>game in time for here.

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<v Speaker 5>Yeah, I mean that that definitely appears to be the case.

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<v Speaker 5>I mean that any questions about and demand, any questions

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<v Speaker 5>about losing market share were just irrelevant, right. I mean

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<v Speaker 5>they talked about incredible demand, demand that they cannot meet

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<v Speaker 5>right now. So you know that part of the quote,

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<v Speaker 5>the story is really in the future, if at all, Ian.

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<v Speaker 4>King very much in the present when it comes to

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<v Speaker 4>the market move, We really appreciate it.

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<v Speaker 3>Thank you.

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<v Speaker 4>Let's get you more contact and what it means to

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<v Speaker 4>the rest of the market. Epshkere is with US Senior

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<v Speaker 4>and a list at Swiss Quote and Ibet. We turned

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<v Speaker 4>to you for the market implications because we were anticipating

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<v Speaker 4>as much as a three hundred billion dollar market cap

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<v Speaker 4>swing up to eight percent move higher or lower. Actually,

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<v Speaker 4>a lack of holatility must be a slight sign of relief.

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<v Speaker 6>Well, actually it is because there has been a few

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<v Speaker 6>red flags in yesterday's report. As A was just talking

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<v Speaker 6>about the pressure on the productivity levels due to the

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<v Speaker 6>manufacturing challenges for the black Bell chip is one of them.

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<v Speaker 6>The fact that the big technology companies make up to

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<v Speaker 6>fifty percent of Nvidia's revenue is another sticky point. Yet

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<v Speaker 6>the results have been strong and despite these small red

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<v Speaker 6>flags that we got yesterday from the report, well, the aftermass,

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<v Speaker 6>the immediate selloff has been only twenty half percent, and

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<v Speaker 6>this morning we don't see that the Nvidia shares are

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<v Speaker 6>being sold at the level that we would expect them

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<v Speaker 6>to with such a disappointment, or if with the small

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<v Speaker 6>disappointment from investors, we would think that any miss that.

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<v Speaker 7>Would be a excel off.

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<v Speaker 6>Yet we just see that the market is quite resilient.

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<v Speaker 4>We've got a bit too used to him managing to

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<v Speaker 4>smash expectations.

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<v Speaker 3>That he had set and that of the market.

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<v Speaker 4>And look, you only beat them slightly when it comes

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<v Speaker 4>to their own internal guidance IPEC. The rest of the market, though,

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<v Speaker 4>had been anticipating, well, maybe a questioning around valuation. What

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<v Speaker 4>do you make of the fact that we're still up

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<v Speaker 4>let's call it two hundred percent over the course of

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<v Speaker 4>this year. It's an extraordinary run up for one particular company.

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<v Speaker 3>Can it be sustained?

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<v Speaker 6>Well, it is absolutely an extraordinary run up, and now

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<v Speaker 6>we are questioning the valuation levels, especially if.

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<v Speaker 7>The demand started to solve.

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<v Speaker 6>This is not the case right now, but at some

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<v Speaker 6>point we expect that the demand from the big technology

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<v Speaker 6>companies will start swing, and because this is a big

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<v Speaker 6>chunk of the company's revenue, that's going to be a headache.

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<v Speaker 7>There's another thing.

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<v Speaker 6>Right now, the competition is not a problem because Nvidia

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<v Speaker 6>has got the most expensive but the most premium chips.

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<v Speaker 6>They've got the best performance, and the big technology companies

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<v Speaker 6>are looking for those. But if the demand was to

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<v Speaker 6>slow for the big technology companies, then Nvidia will have

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<v Speaker 6>to find other customers. And these other customers may not

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<v Speaker 6>be looking for the premium solutions. They will be just

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<v Speaker 6>looking for the solutions to manage their day to day

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<v Speaker 6>businesses and increase their productivity and increase their costs. But

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<v Speaker 6>they would also up for maybe more cost efficient and

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<v Speaker 6>well slightly more affordable chip solutions than the Nvida offers.

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<v Speaker 6>And I think that that's going to be a major issue.

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<v Speaker 4>We're going to be talking exactly that later in the programming.

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<v Speaker 4>For now, when we think about the context of in video,

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<v Speaker 4>about twenty percent of all the run up in the

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<v Speaker 4>S and P five hundred is thanks to this one

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<v Speaker 4>particular name this year, about twenty five percent of all

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<v Speaker 4>earnings per share increase. How key man risk is in

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<v Speaker 4>video and how does one protect themselves against that.

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<v Speaker 6>Well, obviously, the AI rally and especially has been one

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<v Speaker 6>of the major pillars of the market rally in the

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<v Speaker 6>US that we have seen over the past two years.

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<v Speaker 6>So anything any lack of epissites for Nvidia from now

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<v Speaker 6>on is going to have a negative impact on the

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<v Speaker 6>market sentiment. Now, we have seen that AI rarely broaden

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<v Speaker 6>toward the other sectors, other non technology sectors. But it's

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<v Speaker 6>worth noting that this company has added so much upside

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<v Speaker 6>pressure to the SMP five hundred, So anything less than

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<v Speaker 6>any kind of loss of momentum here will obviously be

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<v Speaker 6>well quite negative for the SMP five hundred, especially knowing

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<v Speaker 6>that the SMP five hundred today is struggling near its

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<v Speaker 6>all time high levels.

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<v Speaker 4>So when you're sat ultimately in Europe and you're thinking

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<v Speaker 4>about a global perspective, it should people be broadening out

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<v Speaker 4>when it comes to just magnificent seven, let alone just

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<v Speaker 4>in video litlone just US bets on technology.

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<v Speaker 6>Well, when it comes to technology, I really believe that

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<v Speaker 6>the US is still in a very dominant position, So

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<v Speaker 6>you wouldn't be going to to Europe for technology solutions.

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<v Speaker 6>There's one place that we actually like, and that's Japan,

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<v Speaker 6>especially given that the government there is going to give

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<v Speaker 6>some more support to their technology industry.

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<v Speaker 7>So in terms of geographical.

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<v Speaker 6>Diversification, Japan could be a good solution. There is China

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<v Speaker 6>as well that we have been looking at, but we

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<v Speaker 6>are still not positive for China because well, the chipwoar

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<v Speaker 6>has weighed greatly on sentiment and on the progress of

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<v Speaker 6>the technology advancement there, So we're not really looking at

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<v Speaker 6>China right now. So one place that investors could be

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<v Speaker 6>looking at would be Japan, but other than that, the

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<v Speaker 6>US is still in a very dominant position. So if

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<v Speaker 6>you want to invest in tech, well you would just

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<v Speaker 6>the first place you would like to go is the

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<v Speaker 6>US because this is where you have massive upside potential.

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<v Speaker 4>So back the clients that are calling you, are they

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<v Speaker 4>saying they want to add to Invidia, for example, as

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<v Speaker 4>a name at these particular levels or do they just

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<v Speaker 4>keep their exposure where it is well.

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<v Speaker 6>To be perfectly honest with you, I don't have clients

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<v Speaker 6>who would like to sell Nvidia, but at the current

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<v Speaker 6>levels people are more skeptical about entering into.

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<v Speaker 7>The NVDA shares.

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<v Speaker 6>What I mostly here is what level would be a

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<v Speaker 6>good entry level if we start seeing a price pullback

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<v Speaker 6>from the actual level, So people will still be buying

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<v Speaker 6>MVDA shares from this point on, but they're still at

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<v Speaker 6>disvaluations at this point in time, they will be looking

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<v Speaker 6>for good entry levels.

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<v Speaker 4>Is there other names, smaller chip rivals that you've thought

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<v Speaker 4>would be a better entry point.

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<v Speaker 6>Well, I think that AMD is at a good position

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<v Speaker 6>right now. Obviously, they do not offer the same potential

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<v Speaker 6>and d do not offer the same margins than Nvidia does,

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<v Speaker 6>but it's share price have come down quite significantly to

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<v Speaker 6>offer an interesting entry point at the current levels. It's

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<v Speaker 6>also to be said that AMD is about to launch

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<v Speaker 6>two powerful chips, one for the end of this year

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<v Speaker 6>and one for next year. And what's interesting with AMD

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<v Speaker 6>is they may not be as powerful as premium as

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<v Speaker 6>Nvidia chips, but they're clearly going to be more cost

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<v Speaker 6>efficient and there are many many sectors and companies out

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<v Speaker 6>there that will be looking for more cost efficient and

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<v Speaker 6>more affordable solutions, and AMD could actually help fulfilling that gap.

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<v Speaker 4>MD currently trading at forty one times future earnings compared

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<v Speaker 4>to about a fifty times for a video effect Oskodeshka.

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<v Speaker 3>Thank you so much for your time.

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<v Speaker 4>Seenior analyst at Swiss Code Now coming up bitcoin ooh,

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<v Speaker 4>nearing one hundred thousand dollars. The Trump dream is looking

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<v Speaker 4>towards creating a new crypto role. Well that next is

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<v Speaker 4>the Bluebeg technology Bitcoin's massive run. Well, let's see the

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<v Speaker 4>digital asset edging now towards one.

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<v Speaker 3>Hundred thousand dollars.

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<v Speaker 4>This as the Trunk team is said to be mulling

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<v Speaker 4>over creating its first ever crypto role that would oversee

0:11:08.960 --> 0:11:13.000
<v Speaker 4>cryptocurrency policy making. Marlbrenberg's Kaylee lines chows us Now, so

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<v Speaker 4>just what is.

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<v Speaker 8>Being weighed right now? Well, a lot of it, Caroline

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<v Speaker 8>is still up in the area. This would be the

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<v Speaker 8>first crypto specific role in the White House, and in

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<v Speaker 8>many ways this would signal that Donald Trump was serious

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<v Speaker 8>about the crypto related promises he made on the campaign trail,

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<v Speaker 8>which of course included making the US the bitcoin capital

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<v Speaker 8>of the world, firing the current chair of the SEC,

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<v Speaker 8>Gary Gensler. He also had said he wanted to make

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<v Speaker 8>the first ever crypto presidential Advisory Council, So in some

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<v Speaker 8>ways it shouldn't be all too surprising that he is

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<v Speaker 8>looking at a role like this, But it's not abundantly

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<v Speaker 8>clear at this time what form this would actually take,

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<v Speaker 8>if this is going to be an actual White House

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<v Speaker 8>staff position or just someone who is more of a

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<v Speaker 8>crypto zar quote unquote if you will. I was speaking

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<v Speaker 8>to a source on this this morning who said, yes,

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<v Speaker 8>this is all very up in the air. They are

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<v Speaker 8>seriously looking at this, but it's just not clear what

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<v Speaker 8>kind of power would come win this role. If they

0:12:02.040 --> 0:12:04.880
<v Speaker 8>are going to have actual staff reporting into them, for example,

0:12:04.920 --> 0:12:06.960
<v Speaker 8>if they will just be advising, or if this really

0:12:07.040 --> 0:12:10.080
<v Speaker 8>ultimately is going to be about liaising and coordinating.

0:12:10.080 --> 0:12:11.319
<v Speaker 3>And by coordinating I mean all the.

0:12:11.240 --> 0:12:14.480
<v Speaker 8>Different parts of government that are involved in overseeing crypto here,

0:12:14.480 --> 0:12:16.640
<v Speaker 8>so between the White House and Congress, who would actually

0:12:16.640 --> 0:12:19.640
<v Speaker 8>write digital asset legislation, or the White House and other

0:12:19.679 --> 0:12:22.880
<v Speaker 8>agencies that have jurisdiction over this, like the CFTC and

0:12:22.920 --> 0:12:24.880
<v Speaker 8>the SEC. And I would just point you, Caroline to

0:12:24.880 --> 0:12:28.160
<v Speaker 8>the tweet from Kristin Smith, the CEO of the Blockchain Association,

0:12:28.280 --> 0:12:30.240
<v Speaker 8>yesterday she posted on x and she said, look, the

0:12:30.280 --> 0:12:33.400
<v Speaker 8>cryptos are idea quote unquote is a great idea, but

0:12:33.520 --> 0:12:36.160
<v Speaker 8>ultimately they can only actually do things if there is

0:12:36.200 --> 0:12:39.560
<v Speaker 8>a strong Secretary of the Treasury and SEC chair to

0:12:39.640 --> 0:12:41.400
<v Speaker 8>go along with that, and of course, Caroline, we have

0:12:41.480 --> 0:12:43.800
<v Speaker 8>not gotten picks for either of those roles from the

0:12:43.840 --> 0:12:46.199
<v Speaker 8>President elect yet, so a little.

0:12:46.040 --> 0:12:49.360
<v Speaker 4>Of this is signaling, Kaylee. But just remind us on

0:12:49.400 --> 0:12:52.080
<v Speaker 4>the campaign trail, some of the promises to make the

0:12:52.160 --> 0:12:55.600
<v Speaker 4>US the crypto capital of the planet, to make mining

0:12:55.760 --> 0:12:58.120
<v Speaker 4>of a mole focus to the United States, to have

0:12:58.160 --> 0:13:04.160
<v Speaker 4>even well reserve of bitcoin. Is that necessary to have

0:13:04.240 --> 0:13:08.040
<v Speaker 4>congressmate moves or can this be done from an executive order.

0:13:07.920 --> 0:13:09.560
<v Speaker 3>From a White House only led position.

0:13:10.920 --> 0:13:13.240
<v Speaker 8>Some of it can in that the president obviously has

0:13:13.280 --> 0:13:15.920
<v Speaker 8>the power of appointment, so he could put in place

0:13:15.960 --> 0:13:19.760
<v Speaker 8>a more crypto friendly SEC and CFTC chair who would

0:13:19.800 --> 0:13:23.160
<v Speaker 8>be more lenient with the industry perhaps than we have

0:13:23.240 --> 0:13:25.400
<v Speaker 8>seen in the Biden administration. But a lot of this

0:13:25.440 --> 0:13:27.400
<v Speaker 8>will come down to Congress as well. It was actually

0:13:27.440 --> 0:13:30.080
<v Speaker 8>part of not just Donald Trump's campaign platform, but it

0:13:30.120 --> 0:13:32.680
<v Speaker 8>was in the Republican Party platform that was adopted at

0:13:32.720 --> 0:13:35.400
<v Speaker 8>the convention in Milwaukee this summer that they want to

0:13:36.120 --> 0:13:39.800
<v Speaker 8>end what they call democrats Unamerican crackdown on the industry.

0:13:39.840 --> 0:13:41.280
<v Speaker 8>So that would signal that this is kind of more

0:13:41.320 --> 0:13:43.200
<v Speaker 8>of a government wide effort than just what's going to

0:13:43.200 --> 0:13:45.280
<v Speaker 8>be coming out of the White House in Congress. Will

0:13:45.320 --> 0:13:47.640
<v Speaker 8>be really important here is they have the law making

0:13:47.720 --> 0:13:51.480
<v Speaker 8>power in terms of actually delineating jurisdiction between these different

0:13:51.480 --> 0:13:54.840
<v Speaker 8>agencies that kind of have been jockeying for control over it.

0:13:54.880 --> 0:13:55.920
<v Speaker 3>And the chairmanship of.

0:13:55.920 --> 0:13:58.320
<v Speaker 8>The House Financial Services Committee is something we should pay

0:13:58.360 --> 0:14:00.400
<v Speaker 8>attention to. It's going to be decided in the next

0:14:00.640 --> 0:14:02.840
<v Speaker 8>few months is one hundred and nineteenth Congress comes in.

0:14:02.920 --> 0:14:06.000
<v Speaker 8>Chairman currently Patrick mckenry is going to be leaving the

0:14:06.040 --> 0:14:07.880
<v Speaker 8>House and there's kind of a three way battle going

0:14:07.920 --> 0:14:11.560
<v Speaker 8>on between Congress and Bill Barr or excuse me, Andy

0:14:11.600 --> 0:14:14.240
<v Speaker 8>Barr of Kentucky, Bill Hezenga of Michigan, and French Hill

0:14:14.240 --> 0:14:18.520
<v Speaker 8>of Arkansas, who currently leads the subcommittee specifically on digital assets,

0:14:18.559 --> 0:14:20.800
<v Speaker 8>and so when where it's chairing, the Financial Services Committee

0:14:20.840 --> 0:14:22.560
<v Speaker 8>will have a lot of control over the shape of

0:14:22.560 --> 0:14:25.720
<v Speaker 8>the legislation that ultimately could work its way through Congress.

0:14:25.840 --> 0:14:26.600
<v Speaker 3>And that's going to be.

0:14:26.520 --> 0:14:29.720
<v Speaker 8>What a lot of the industry's lobbying time is spent

0:14:29.800 --> 0:14:31.120
<v Speaker 8>specifically on on.

0:14:31.240 --> 0:14:35.200
<v Speaker 4>Industry lobbied going into these elections, and it works. I mean,

0:14:35.240 --> 0:14:38.360
<v Speaker 4>the money that was put to work. Backing crypto friendly

0:14:38.480 --> 0:14:40.960
<v Speaker 4>congress people is important.

0:14:40.560 --> 0:14:42.720
<v Speaker 3>Right, absolutely.

0:14:42.800 --> 0:14:44.880
<v Speaker 8>I mean you look at packs like fair Shape, for example,

0:14:44.880 --> 0:14:47.720
<v Speaker 8>that deployed tens of millions of dollars in some of

0:14:47.720 --> 0:14:51.640
<v Speaker 8>those key congressional races, including for example, a successful ousting

0:14:51.760 --> 0:14:54.120
<v Speaker 8>of the current chair of the Senate Banking Committee, Shared

0:14:54.160 --> 0:14:56.480
<v Speaker 8>Brown of Ohio. He was ousted not just by any

0:14:56.560 --> 0:15:00.240
<v Speaker 8>candidate but a crypto entrepreneur himself, and Bernie Marine the

0:15:00.280 --> 0:15:05.320
<v Speaker 8>incoming Republican Senate designate or Senate elect So that is

0:15:05.320 --> 0:15:07.480
<v Speaker 8>going to be really interesting to watch. As I mentioned

0:15:07.480 --> 0:15:09.960
<v Speaker 8>the House Financial Services Committee. The Senate, of course, is

0:15:09.960 --> 0:15:12.120
<v Speaker 8>going to be where a lot of the uphill climb

0:15:12.120 --> 0:15:14.560
<v Speaker 8>has been historically when it comes to advancing the interests

0:15:14.560 --> 0:15:16.880
<v Speaker 8>of the crypto industry. And Tim Scott will now be

0:15:16.920 --> 0:15:19.200
<v Speaker 8>taking over as the Senate Banking Chair.

0:15:19.280 --> 0:15:20.240
<v Speaker 3>I would just point out.

0:15:20.160 --> 0:15:22.640
<v Speaker 8>That the ranking member could very well be Democratic Senate

0:15:22.640 --> 0:15:25.720
<v Speaker 8>that Elizabeth Warren, who faced a crypto opponent of her own,

0:15:25.720 --> 0:15:28.760
<v Speaker 8>but one ultimately her reelection race, and she may have

0:15:29.640 --> 0:15:31.320
<v Speaker 8>a little bit of a role in at least effort

0:15:31.360 --> 0:15:33.960
<v Speaker 8>in attempt to pull back some of the efforts to

0:15:34.000 --> 0:15:36.800
<v Speaker 8>advance the industry's interest. But the crypto money that was

0:15:36.840 --> 0:15:39.080
<v Speaker 8>active in this election cycle.

0:15:38.800 --> 0:15:40.480
<v Speaker 3>Has no sign that it's going anywhere.

0:15:40.520 --> 0:15:43.240
<v Speaker 8>Now that they've proven that they actually can make a

0:15:43.240 --> 0:15:45.560
<v Speaker 8>difference in outcomes, here will We're watching to see how

0:15:45.600 --> 0:15:48.960
<v Speaker 8>this pack and other interest groups and the others individuals

0:15:49.000 --> 0:15:51.640
<v Speaker 8>who were contributing to it, think Mark and Dreson for example,

0:15:51.720 --> 0:15:53.880
<v Speaker 8>or Brian Armstrong, how active they will be in the

0:15:53.880 --> 0:15:56.400
<v Speaker 8>midterms in twenty twenty six and then ultimately in the

0:15:56.440 --> 0:15:59.200
<v Speaker 8>next presidential cycle in twenty twenty eight, always.

0:15:58.920 --> 0:16:01.160
<v Speaker 3>Pushing us forward. Kaylee me, thank you.

0:16:01.920 --> 0:16:04.800
<v Speaker 4>Now, let's talk about artificial super intelligence.

0:16:05.200 --> 0:16:06.400
<v Speaker 3>Perhaps it's not far off.

0:16:06.600 --> 0:16:09.520
<v Speaker 4>Last months off Bak CEO Masayoshi's son and predicted then

0:16:09.560 --> 0:16:12.320
<v Speaker 4>it would become a reality by twenty thirty five. Well,

0:16:12.360 --> 0:16:14.960
<v Speaker 4>former Google CEO Eric Schmidt, who is out with a

0:16:15.000 --> 0:16:17.760
<v Speaker 4>new book on artificial intelligence, says it might be coming

0:16:17.840 --> 0:16:19.200
<v Speaker 4>even sooner than we think.

0:16:19.240 --> 0:16:19.760
<v Speaker 3>Take a listen.

0:16:20.880 --> 0:16:24.800
<v Speaker 9>It's probable that we can build systems that are the

0:16:24.880 --> 0:16:27.800
<v Speaker 9>technical term is super intelligent, where you have a simple

0:16:27.840 --> 0:16:31.200
<v Speaker 9>system sarry a single system that is at the nineteh

0:16:31.240 --> 0:16:36.600
<v Speaker 9>percentile of physics, math, chemistry, and arts and so forth.

0:16:36.640 --> 0:16:37.720
<v Speaker 7>No human can do that.

0:16:38.160 --> 0:16:40.920
<v Speaker 9>It looks like these systems will be not only available

0:16:40.960 --> 0:16:43.720
<v Speaker 9>in the next five years because we already have examples

0:16:43.760 --> 0:16:46.520
<v Speaker 9>of passing these tests already, but also that they'll be

0:16:46.560 --> 0:16:48.440
<v Speaker 9>broadly available for all society.

0:16:49.680 --> 0:16:51.600
<v Speaker 4>A bit more on AI app because happening today in

0:16:51.680 --> 0:16:54.280
<v Speaker 4>New York the Evident AI Symposium, where some of the

0:16:54.320 --> 0:16:57.480
<v Speaker 4>most senior leaders of the world's banking and artificial intelligence

0:16:57.880 --> 0:17:01.800
<v Speaker 4>areas came together. They're discussing the AI adoption in the

0:17:01.840 --> 0:17:05.040
<v Speaker 4>banking sector based on the latest data from an AI index.

0:17:05.040 --> 0:17:09.280
<v Speaker 4>It's a global standard benchmark for aimaturity in banking. I

0:17:09.320 --> 0:17:11.879
<v Speaker 4>sat down with JP Morgan Chase chief Data and Analytics

0:17:11.920 --> 0:17:16.119
<v Speaker 4>Officer Teresa heitsen Rada and asked if look, the efficiencies

0:17:16.880 --> 0:17:19.600
<v Speaker 4>from AI are the number one return on investment.

0:17:19.600 --> 0:17:20.119
<v Speaker 3>Take listen.

0:17:21.200 --> 0:17:23.480
<v Speaker 1>The magic question is what's what's the return?

0:17:23.920 --> 0:17:24.160
<v Speaker 10>Right?

0:17:24.200 --> 0:17:27.320
<v Speaker 1>And the answer is very, very difficult to quantify, And

0:17:27.640 --> 0:17:30.359
<v Speaker 1>I think at this stage of the game, the return

0:17:30.520 --> 0:17:33.560
<v Speaker 1>is a little bit of efficiency for a lot of

0:17:33.600 --> 0:17:36.159
<v Speaker 1>people every day, but not something that you can actually

0:17:36.160 --> 0:17:38.679
<v Speaker 1>hang a number on. So I think that the next

0:17:38.760 --> 0:17:42.000
<v Speaker 1>generation of where we see this heading is, rather than

0:17:42.080 --> 0:17:44.440
<v Speaker 1>just using it to help you write your email or

0:17:44.680 --> 0:17:47.600
<v Speaker 1>summarize a document, is when we start to plug the

0:17:47.640 --> 0:17:51.480
<v Speaker 1>technology into knowledge bases, when we start to actually look

0:17:51.520 --> 0:17:55.280
<v Speaker 1>at the workflow of a particular person or group and

0:17:55.359 --> 0:17:58.439
<v Speaker 1>linked together the steps in that workflow with the tools

0:17:58.480 --> 0:18:00.520
<v Speaker 1>that they need to be able to do their So

0:18:00.560 --> 0:18:03.960
<v Speaker 1>you basically go from the five minutes of efficiency to

0:18:04.040 --> 0:18:07.160
<v Speaker 1>the five hours of efficiency. That's a road like that's

0:18:07.200 --> 0:18:09.359
<v Speaker 1>going to take some time to actually get there, but

0:18:09.440 --> 0:18:12.760
<v Speaker 1>I think that's where we see it evolving. So there

0:18:12.800 --> 0:18:15.840
<v Speaker 1>are near term benefits, but I think the most compelling

0:18:16.000 --> 0:18:18.840
<v Speaker 1>is just putting the technology in people's hands and letting

0:18:18.920 --> 0:18:21.879
<v Speaker 1>them start to experiment and understand how it actually works

0:18:21.880 --> 0:18:22.920
<v Speaker 1>and how it can be used.

0:18:24.000 --> 0:18:27.160
<v Speaker 4>JP Morgan Chase Chief Data and Analytics Officer Teresa heisen Weather.

0:18:27.240 --> 0:18:30.080
<v Speaker 4>There I mean, while coming up, it's official the DOJ

0:18:30.440 --> 0:18:33.680
<v Speaker 4>does want Google to divest its Chrome web browser.

0:18:34.040 --> 0:18:34.880
<v Speaker 3>All details next.

0:18:34.880 --> 0:18:48.520
<v Speaker 11>This is bring big technology.

0:18:50.520 --> 0:18:53.399
<v Speaker 4>The Justice Department and a group of states do indeed

0:18:53.440 --> 0:18:55.960
<v Speaker 4>suggest that Google may have to divest its popular Chrome

0:18:56.000 --> 0:18:59.639
<v Speaker 4>web browser and imposed limits on its Android operating system

0:18:59.680 --> 0:19:02.840
<v Speaker 4>in order to address anti trust concerns, all confirming earlier

0:19:02.880 --> 0:19:04.320
<v Speaker 4>reports by Bloomberg.

0:19:04.480 --> 0:19:06.320
<v Speaker 3>For Now, Bloombergsley and Nyland.

0:19:06.080 --> 0:19:08.680
<v Speaker 4>Joins US and it was your reporting that ultimately has

0:19:08.720 --> 0:19:13.640
<v Speaker 4>been confirmed. Just tell us through how realistic still this

0:19:13.760 --> 0:19:14.679
<v Speaker 4>divestment would be.

0:19:16.800 --> 0:19:20.560
<v Speaker 12>We'll see probably in early spring. The Justice Department has

0:19:20.560 --> 0:19:22.840
<v Speaker 12>said that they want Google to be forced to sell

0:19:22.840 --> 0:19:23.399
<v Speaker 12>off Chrome.

0:19:24.160 --> 0:19:25.439
<v Speaker 3>It's not clear who would buy it.

0:19:25.560 --> 0:19:29.240
<v Speaker 12>You know, the top two other browser makers, Microsoft and Apple,

0:19:29.320 --> 0:19:32.240
<v Speaker 12>who have the cash, the Justice Apartment probably wouldn't want

0:19:32.240 --> 0:19:35.399
<v Speaker 12>to let them, so the next you know, most obvious

0:19:35.440 --> 0:19:38.600
<v Speaker 12>candidates are probably people like open ai or Perplexity or

0:19:38.640 --> 0:19:42.359
<v Speaker 12>some of the other AI startups that would really love

0:19:42.440 --> 0:19:44.919
<v Speaker 12>to have this kind of an avenue to customers for

0:19:45.040 --> 0:19:51.400
<v Speaker 12>their AI search goals. Other things that the Justice Department

0:19:51.440 --> 0:19:54.560
<v Speaker 12>put in there is that they want Google to have

0:19:54.600 --> 0:19:57.000
<v Speaker 12>to license a lot of its data. That's probably a

0:19:57.000 --> 0:20:00.119
<v Speaker 12>more realistic thing that would have to happen, and and

0:20:00.400 --> 0:20:03.120
<v Speaker 12>it would definitely give a boost to other search engines

0:20:03.320 --> 0:20:05.359
<v Speaker 12>and possibly AI startups who would now.

0:20:05.200 --> 0:20:06.720
<v Speaker 3>Not have to scrape the web themselves.

0:20:07.320 --> 0:20:09.680
<v Speaker 4>Alphabet once again one of the key drags on the

0:20:09.760 --> 0:20:13.840
<v Speaker 4>NASTAC today. Investors worried about this alphabet itself, worried about

0:20:13.840 --> 0:20:15.760
<v Speaker 4>it coming out, and still once again trying to say

0:20:15.760 --> 0:20:18.440
<v Speaker 4>that this is a radical turn of events if imposed,

0:20:19.200 --> 0:20:24.120
<v Speaker 4>how complex is it to actually see a company sell

0:20:24.160 --> 0:20:27.560
<v Speaker 4>off such businesses? And how much do we have to

0:20:27.560 --> 0:20:30.000
<v Speaker 4>now wait for the legal maneuvering to play out? They

0:20:30.000 --> 0:20:31.640
<v Speaker 4>now have what a couple of months to respond.

0:20:33.200 --> 0:20:35.840
<v Speaker 12>They have until next month to respond, and then the

0:20:35.880 --> 0:20:39.760
<v Speaker 12>Trump administration in March gets to have another reply. So

0:20:39.840 --> 0:20:43.240
<v Speaker 12>if the Trump administration wants to change this proposal a

0:20:43.280 --> 0:20:46.280
<v Speaker 12>little bit, they are allowed to. We probably won't have

0:20:46.359 --> 0:20:48.479
<v Speaker 12>a decision from the court until next summer.

0:20:48.560 --> 0:20:50.000
<v Speaker 7>The judge has promised.

0:20:49.600 --> 0:20:52.359
<v Speaker 12>That he will rule by August twenty twenty five, but

0:20:52.400 --> 0:20:55.640
<v Speaker 12>then Google says it will appeal. That'll take another year,

0:20:55.720 --> 0:20:59.359
<v Speaker 12>So at the earliest we're looking at them having to

0:20:59.400 --> 0:21:03.200
<v Speaker 12>do this in probably twenty twenty six. But I think

0:21:03.240 --> 0:21:05.840
<v Speaker 12>people are recognizing that Chrome is actually pretty important to

0:21:05.880 --> 0:21:08.960
<v Speaker 12>Google's business. It is, you know, an avenue through which

0:21:09.000 --> 0:21:12.159
<v Speaker 12>a lot of people access it's a search engine, but

0:21:12.240 --> 0:21:15.399
<v Speaker 12>it also is how Google collects a lot of the

0:21:15.480 --> 0:21:18.800
<v Speaker 12>data that underlies its advertising. You know, whenever a user

0:21:18.960 --> 0:21:21.560
<v Speaker 12>logs in, it keeps a lot of information about the

0:21:21.640 --> 0:21:22.720
<v Speaker 12>browser history.

0:21:23.520 --> 0:21:24.360
<v Speaker 3>You know where.

0:21:24.640 --> 0:21:26.840
<v Speaker 12>People are going online, what they're looking at, and then

0:21:26.960 --> 0:21:29.919
<v Speaker 12>Google uses that data to help sell advertising. So this

0:21:30.040 --> 0:21:33.159
<v Speaker 12>could have knock on effects to how some of Google's

0:21:33.200 --> 0:21:33.880
<v Speaker 12>core businesses.

0:21:34.440 --> 0:21:37.160
<v Speaker 3>Me and Eilan appreciate the update. Thank you.

0:21:37.760 --> 0:21:41.080
<v Speaker 4>Now it's time for talking tech, and first up, we're

0:21:41.080 --> 0:21:44.119
<v Speaker 4>talking PDD chares as you see plunging after warning that

0:21:44.160 --> 0:21:47.400
<v Speaker 4>it's profitability will trend downwards over time because of intensifying

0:21:47.440 --> 0:21:50.439
<v Speaker 4>competition in its home market. Of course, of China, PDD,

0:21:50.520 --> 0:21:54.119
<v Speaker 4>which competes with Ali Barba and its team, is struggling

0:21:54.200 --> 0:21:57.120
<v Speaker 4>to catch up with unspecified rivals because of the lack

0:21:57.160 --> 0:21:59.879
<v Speaker 4>of expertise, speaking of which Ali Baba has a pointed

0:22:00.040 --> 0:22:03.119
<v Speaker 4>better and executive Jeng Fan to oversee its entire online

0:22:03.119 --> 0:22:05.880
<v Speaker 4>e commerce operation. Now Jiang will lead a newly created

0:22:05.880 --> 0:22:09.480
<v Speaker 4>department that consolidates Ali Baba's online shopping assets, making him

0:22:09.520 --> 0:22:11.840
<v Speaker 4>the most powerful person in the company after the CEO

0:22:11.920 --> 0:22:15.920
<v Speaker 4>and chairman and Baido. It recorded its biggest revenue drop

0:22:16.480 --> 0:22:19.120
<v Speaker 4>more than two years after China's economic malaise. Under mind

0:22:19.119 --> 0:22:21.160
<v Speaker 4>it's push into general to AI. Now the company's ernie

0:22:21.200 --> 0:22:25.200
<v Speaker 4>Bot has fallen behind Bite Dances d'albao in China usage,

0:22:25.320 --> 0:22:28.600
<v Speaker 4>while its core business is losing ground. Two newer social

0:22:28.640 --> 0:22:30.480
<v Speaker 4>platforms off by seven percents.

0:22:30.480 --> 0:22:31.520
<v Speaker 3>You'll see now coming up.

0:22:31.800 --> 0:22:35.520
<v Speaker 4>We're going back to the US earning story Nvidia the

0:22:35.600 --> 0:22:37.800
<v Speaker 4>impact on the chip sector at large. We're currently off

0:22:37.840 --> 0:22:40.439
<v Speaker 4>by one point three percent, one point two percent for

0:22:40.560 --> 0:22:43.359
<v Speaker 4>the world's most valuable publicly traded company. This is the

0:22:43.400 --> 0:22:57.800
<v Speaker 4>room Mate Technology. Welcome back to Blue meag Technology and

0:22:57.880 --> 0:23:00.080
<v Speaker 4>Karin Hider, New York. Let's get back to it. In

0:23:00.160 --> 0:23:02.879
<v Speaker 4>Video's earnings. Here is the reaction from just some of

0:23:02.920 --> 0:23:04.120
<v Speaker 4>our guest somebody Meg Television.

0:23:05.480 --> 0:23:08.240
<v Speaker 3>I have a feeling that we've reached peak Navidio. How

0:23:08.280 --> 0:23:09.640
<v Speaker 3>long can you stay perfect? Great?

0:23:09.720 --> 0:23:12.080
<v Speaker 13>So I think that, yeah, I mean, I do think

0:23:12.080 --> 0:23:15.680
<v Speaker 13>that a lot of investors are expecting a little bit

0:23:15.720 --> 0:23:16.160
<v Speaker 13>too much.

0:23:16.200 --> 0:23:17.920
<v Speaker 10>There's a little bit of this kind of fatigue.

0:23:18.240 --> 0:23:21.800
<v Speaker 7>But make a mistake. This was a remarkably good quarter.

0:23:22.080 --> 0:23:24.880
<v Speaker 3>When they're putting up in terms of Hopper, in terms

0:23:24.880 --> 0:23:28.800
<v Speaker 3>of overall growth, it's exact what the what the bulls want.

0:23:29.080 --> 0:23:32.719
<v Speaker 13>Never underestimate Wall Street's ability to miss the bigger picture.

0:23:32.960 --> 0:23:35.720
<v Speaker 13>This company has double the operating margin of any other

0:23:35.800 --> 0:23:40.119
<v Speaker 13>Meg seven outside of Microsoft. To nitpick in Video on

0:23:40.200 --> 0:23:42.520
<v Speaker 13>those margins is truly missing the big picture.

0:23:43.440 --> 0:23:44.680
<v Speaker 3>Let's nitpick some more.

0:23:44.960 --> 0:23:48.560
<v Speaker 4>Daniel Pelling, portfolio manager and senior technology research analyst at

0:23:48.560 --> 0:23:52.200
<v Speaker 4>Sans Capital joins us now and Daniel, Yeah, we're quibbling

0:23:52.320 --> 0:23:54.639
<v Speaker 4>on a margin of seventy five percent going to somewhere

0:23:54.640 --> 0:23:58.439
<v Speaker 4>to seventy three to seventy four percent, so much more

0:23:58.520 --> 0:23:59.880
<v Speaker 4>profitable than rivals.

0:24:00.480 --> 0:24:03.959
<v Speaker 14>Yes, Hi, good morning. Yeah, so well, I think actually

0:24:03.960 --> 0:24:08.000
<v Speaker 14>the gross Martin stuff is largely behind us. They've guided

0:24:08.000 --> 0:24:10.800
<v Speaker 14>for sort of seventy five percent exiting the year, And

0:24:10.880 --> 0:24:13.119
<v Speaker 14>I know this was a concern a while back, but

0:24:13.160 --> 0:24:16.600
<v Speaker 14>I would actually argue it's somewhat frankly irrelevant. I think

0:24:16.640 --> 0:24:20.440
<v Speaker 14>what was much more important was two things. First of all,

0:24:20.520 --> 0:24:23.320
<v Speaker 14>the company noted that the scaling laws are well and

0:24:23.400 --> 0:24:27.000
<v Speaker 14>alive and that we can both scale training and inference

0:24:27.080 --> 0:24:30.000
<v Speaker 14>going forward. So this entire discussion about how we're hitting

0:24:30.000 --> 0:24:32.159
<v Speaker 14>a wall is sort of probably off, and there's just

0:24:32.280 --> 0:24:35.359
<v Speaker 14>many walls and they're far away. And then the second

0:24:35.440 --> 0:24:37.679
<v Speaker 14>really important thing I thought that they mentioned was is

0:24:37.680 --> 0:24:40.399
<v Speaker 14>to say that data centers are becoming a little bit

0:24:40.480 --> 0:24:44.640
<v Speaker 14>like smartphones, i e. They are electricity constrained. And what

0:24:44.680 --> 0:24:46.920
<v Speaker 14>that means is just amazing, right, because that means every

0:24:47.000 --> 0:24:49.880
<v Speaker 14>year the hyperscalers have to buy a new chip because

0:24:49.920 --> 0:24:52.600
<v Speaker 14>the new chip is better in terms of electricity usage,

0:24:53.119 --> 0:24:55.120
<v Speaker 14>and we've never had that before in the data center.

0:24:55.200 --> 0:24:57.240
<v Speaker 14>So those two things I think are very positive for

0:24:57.320 --> 0:24:59.280
<v Speaker 14>the medium and long term of the company.

0:24:59.359 --> 0:25:01.359
<v Speaker 4>I want to go about to the scaling laws, Daniel,

0:25:01.440 --> 0:25:04.359
<v Speaker 4>because yes, we've had Jensen Wang actually back on the

0:25:04.359 --> 0:25:07.640
<v Speaker 4>conference trail just earlier this week talking about how compute

0:25:07.640 --> 0:25:10.159
<v Speaker 4>power is going to continue to extend, and indeed the

0:25:10.200 --> 0:25:13.159
<v Speaker 4>more data, the more compute you have, the more sophisticated.

0:25:12.680 --> 0:25:14.080
<v Speaker 3>The larger language models will become.

0:25:14.119 --> 0:25:16.720
<v Speaker 4>But then you listen to the reporting out of Bloomberg

0:25:16.760 --> 0:25:20.320
<v Speaker 4>around open ai and the latest iteration of large language models.

0:25:20.359 --> 0:25:23.040
<v Speaker 4>Just stuttering a little, Why are you so confident that

0:25:23.119 --> 0:25:24.040
<v Speaker 4>scaling laws.

0:25:23.800 --> 0:25:24.600
<v Speaker 3>Aresketden in place?

0:25:25.680 --> 0:25:27.760
<v Speaker 14>Yes, So, I think the key thing to note here

0:25:28.280 --> 0:25:30.919
<v Speaker 14>is that all that information that we have is based

0:25:30.960 --> 0:25:35.280
<v Speaker 14>off of smaller clusters. So now we for the first

0:25:35.320 --> 0:25:38.400
<v Speaker 14>time have a cluster that's something like one hundred or

0:25:37.520 --> 0:25:41.760
<v Speaker 14>two hundred thousand GPUs that is owned by Elon Musk

0:25:42.160 --> 0:25:43.879
<v Speaker 14>and we'll see what comes out of that in the

0:25:43.880 --> 0:25:47.240
<v Speaker 14>next twelve months. And secondly, and more importantly, maybe the

0:25:47.320 --> 0:25:51.879
<v Speaker 14>black clusters start at one hundred thousand GPUs. Hopper started

0:25:51.920 --> 0:25:54.480
<v Speaker 14>at ten thousand GPUs, so we'll have to wait the

0:25:54.480 --> 0:25:56.840
<v Speaker 14>next twelve months. What can we train with these much

0:25:56.840 --> 0:26:00.760
<v Speaker 14>better chips and much larger clusters and whatever out of that?

0:26:00.760 --> 0:26:02.879
<v Speaker 14>That is the crux. So I think most of the

0:26:02.880 --> 0:26:05.359
<v Speaker 14>stuff that's in these articles is kind of backward looking

0:26:05.400 --> 0:26:07.160
<v Speaker 14>because we just didn't have the chips nor these big

0:26:07.200 --> 0:26:08.200
<v Speaker 14>clusters yet.

0:26:08.560 --> 0:26:11.800
<v Speaker 4>That has been reporting about the latest valuation of Xai

0:26:11.960 --> 0:26:14.280
<v Speaker 4>and the fact that they're raising money simply to buy

0:26:14.760 --> 0:26:18.840
<v Speaker 4>more GPUs, But there is that worry about density of

0:26:18.920 --> 0:26:21.560
<v Speaker 4>customer for n video. Are we going to see a

0:26:21.560 --> 0:26:22.200
<v Speaker 4>broadening out?

0:26:23.119 --> 0:26:25.280
<v Speaker 14>Yeah, So I think the big question here is like this,

0:26:25.720 --> 0:26:28.640
<v Speaker 14>and I think you're right. So the big customers are hyperscalers,

0:26:28.720 --> 0:26:31.680
<v Speaker 14>venture finers, startups, and actually healthcare companies are using training

0:26:31.720 --> 0:26:34.520
<v Speaker 14>a lot too. My sense is that the most important

0:26:34.520 --> 0:26:36.080
<v Speaker 14>thing to look at here is for the next year

0:26:36.160 --> 0:26:39.760
<v Speaker 14>is agentic AI and this idea of that we're spending

0:26:39.840 --> 0:26:44.520
<v Speaker 14>much more compute on inference and letting inference think. And

0:26:44.600 --> 0:26:47.199
<v Speaker 14>I think it's starting just now, and if we can

0:26:47.240 --> 0:26:49.800
<v Speaker 14>see this, then companies can really start using this via

0:26:49.880 --> 0:26:53.320
<v Speaker 14>using service now, Workday, Microsoft, et cetera, et cetera. So

0:26:53.359 --> 0:26:55.040
<v Speaker 14>I think that might be a big tipping point and

0:26:55.080 --> 0:26:57.480
<v Speaker 14>we're literally at inning one of that. And just to

0:26:57.480 --> 0:27:00.239
<v Speaker 14>be clear, agentic AI is this sort of THISI they

0:27:00.240 --> 0:27:04.760
<v Speaker 14>can do things autonomously within an enterprise and help with workflows.

0:27:05.240 --> 0:27:07.159
<v Speaker 4>We've had a lot about agents from the likes you

0:27:07.200 --> 0:27:09.840
<v Speaker 4>mentioned service now we've also heard it from Salesforce.

0:27:09.400 --> 0:27:10.080
<v Speaker 3>And the light Daniel.

0:27:10.160 --> 0:27:13.560
<v Speaker 4>So when we look at your funds managed what the

0:27:13.680 --> 0:27:16.800
<v Speaker 4>top holding is in Nvidia, does that start to broaden

0:27:16.840 --> 0:27:19.720
<v Speaker 4>out for you or do you mean comfortable with your

0:27:19.760 --> 0:27:22.399
<v Speaker 4>alignment on in video even though it's at what the

0:27:22.440 --> 0:27:26.520
<v Speaker 4>most valuable market capitalization in the entire world.

0:27:27.600 --> 0:27:28.199
<v Speaker 7>Two things.

0:27:28.920 --> 0:27:32.000
<v Speaker 14>One, so I think there's a good scenario to be

0:27:32.040 --> 0:27:35.400
<v Speaker 14>made that Nvidia becomes the first ten trillion dollar market company.

0:27:36.040 --> 0:27:37.679
<v Speaker 14>And I'll tell you why. I mean, even if you

0:27:37.760 --> 0:27:41.040
<v Speaker 14>just look at the top four hyperscalers, they're estimated to

0:27:41.320 --> 0:27:43.880
<v Speaker 14>generate about three hundred billion dollars of free cash flow

0:27:44.400 --> 0:27:46.600
<v Speaker 14>next year alone. And what I'm trying to say is

0:27:46.640 --> 0:27:48.760
<v Speaker 14>there's a lot of dollars left to go to Nvidia

0:27:49.280 --> 0:27:50.560
<v Speaker 14>if the scaling.

0:27:50.200 --> 0:27:51.280
<v Speaker 7>Laws hold true.

0:27:51.640 --> 0:27:54.080
<v Speaker 14>So that's one, we're very bullish on video or continue

0:27:54.119 --> 0:27:56.439
<v Speaker 14>to be positive on video. But two, the trends are

0:27:56.480 --> 0:27:59.320
<v Speaker 14>really proliferating into other spaces, and maybe I'll make two

0:27:59.320 --> 0:28:02.119
<v Speaker 14>comments there. First, First of all, the software company Service

0:28:02.200 --> 0:28:05.120
<v Speaker 14>now Microsoft et Centa, they will benefit. But there's also

0:28:05.160 --> 0:28:08.480
<v Speaker 14>other companies you know that have significant competitive advantages and

0:28:08.520 --> 0:28:10.760
<v Speaker 14>it can really take AI and monetize it right. And

0:28:10.800 --> 0:28:13.960
<v Speaker 14>one great example might be a company called Axon that

0:28:14.359 --> 0:28:17.399
<v Speaker 14>you know, manufacturers tasers and cameras for the police force.

0:28:17.720 --> 0:28:21.639
<v Speaker 14>They've added an ability to transcribe you know, police when

0:28:21.680 --> 0:28:25.560
<v Speaker 14>they're engaged with people, and that says forty percent of

0:28:25.600 --> 0:28:27.960
<v Speaker 14>time for that police officer. That's a huge improvement, and

0:28:28.000 --> 0:28:29.800
<v Speaker 14>the stock has started to price them in as an

0:28:29.840 --> 0:28:31.520
<v Speaker 14>AI winner, and I think you'll see more of that

0:28:31.560 --> 0:28:32.240
<v Speaker 14>over time too.

0:28:32.800 --> 0:28:35.000
<v Speaker 4>Another company for us to focus in on for our

0:28:35.040 --> 0:28:37.280
<v Speaker 4>audience standing pelling. So great to have time with the

0:28:37.359 --> 0:28:41.600
<v Speaker 4>senior technology research analyst, Sam's Capital. How interesting that he

0:28:41.720 --> 0:28:44.479
<v Speaker 4>kept referencing inference. We're going to have a conversation on

0:28:44.520 --> 0:28:46.520
<v Speaker 4>that now because we have a perspective and someone in

0:28:46.520 --> 0:28:49.120
<v Speaker 4>the field. Rodrigo leac CEO of sa Manova is an

0:28:49.120 --> 0:28:52.560
<v Speaker 4>AI infrastructure company that delivers advanced AI solutions for enterprises.

0:28:52.600 --> 0:28:56.360
<v Speaker 4>You're kind of an Nvidia competitor upstart.

0:28:56.120 --> 0:28:57.960
<v Speaker 3>And I just want to articulate for our audience what

0:28:58.000 --> 0:29:00.000
<v Speaker 3>it is that you do. Yeah, no, thanks for having us.

0:29:00.080 --> 0:29:03.080
<v Speaker 15>So some of the is started as a startup coming

0:29:03.080 --> 0:29:07.600
<v Speaker 15>out of Stanford University and palto really focus on efficient computing.

0:29:07.640 --> 0:29:10.000
<v Speaker 15>And so as we're seeing in video scale and you

0:29:10.000 --> 0:29:13.000
<v Speaker 15>see all the all the great numbers that that people

0:29:13.000 --> 0:29:15.320
<v Speaker 15>are talking about with video or we're now seeing, is

0:29:15.400 --> 0:29:17.479
<v Speaker 15>what happens when the world wants to go into production

0:29:17.840 --> 0:29:19.880
<v Speaker 15>and going to scale. And one of the things that Franklin,

0:29:19.920 --> 0:29:22.560
<v Speaker 15>we're not talking enough about is the fact that power

0:29:22.600 --> 0:29:24.440
<v Speaker 15>and energy is going to be a big bottleneck, and

0:29:24.480 --> 0:29:26.640
<v Speaker 15>you know, people are talking about building nuclear power plants

0:29:26.640 --> 0:29:29.640
<v Speaker 15>and things like that. Somanova Te took the focus of

0:29:29.760 --> 0:29:34.520
<v Speaker 15>how do we actually take AI at scale power efficiency

0:29:34.560 --> 0:29:37.080
<v Speaker 15>and drive it down so that you can actually scale

0:29:37.280 --> 0:29:40.240
<v Speaker 15>without running into these limits that we start seeing with

0:29:40.600 --> 0:29:44.040
<v Speaker 15>both companies and countries running out of power and figuring

0:29:44.040 --> 0:29:48.440
<v Speaker 15>out how to actually provide enough energy to supply these GPUs.

0:29:49.080 --> 0:29:52.320
<v Speaker 4>So your view is you can't like there's going to

0:29:52.320 --> 0:29:56.360
<v Speaker 4>be a certain limitation on the amount of energy efficiency

0:29:56.400 --> 0:29:58.480
<v Speaker 4>that a company like and Video is ever going to hit.

0:29:58.520 --> 0:30:00.800
<v Speaker 4>With the GPU whereas you of a lot.

0:30:01.280 --> 0:30:04.120
<v Speaker 15>Well, so today, for example, you know, a single rack

0:30:04.160 --> 0:30:07.000
<v Speaker 15>of Nvidia is north of one hundred kilowatts, and just

0:30:07.040 --> 0:30:10.480
<v Speaker 15>to give your audience a sense, that's one hundred, it's

0:30:10.720 --> 0:30:13.560
<v Speaker 15>one hundred homes that it powers. And so if you

0:30:13.560 --> 0:30:15.920
<v Speaker 15>think about someone of technology, we're able to drive ten

0:30:16.000 --> 0:30:19.960
<v Speaker 15>next to performance at one tenth the power now because

0:30:19.960 --> 0:30:22.280
<v Speaker 15>of a completely different architecture. As you know with n video,

0:30:22.280 --> 0:30:25.040
<v Speaker 15>it's an architecture that's been around for several decades and

0:30:25.080 --> 0:30:28.760
<v Speaker 15>so we're trying to evolve this graphics GPU architecture into

0:30:28.840 --> 0:30:32.680
<v Speaker 15>AI enabled now for inferencing, there's so many new techniques

0:30:32.680 --> 0:30:35.360
<v Speaker 15>that you can actually apply because you don't need to

0:30:35.400 --> 0:30:38.280
<v Speaker 15>do all the heavy computing that training requires, and so

0:30:38.320 --> 0:30:41.520
<v Speaker 15>you're able to drive a much much lower footprint in

0:30:41.560 --> 0:30:44.240
<v Speaker 15>terms of power, in terms of costs, in terms of space,

0:30:44.520 --> 0:30:48.120
<v Speaker 15>which ultimately is required when you're actually going to scale.

0:30:48.320 --> 0:30:50.240
<v Speaker 7>And my belief is AI.

0:30:50.000 --> 0:30:52.520
<v Speaker 15>Inferencing is going to be ten times more of a

0:30:52.520 --> 0:30:54.720
<v Speaker 15>footprint than training, and so I think we're going to

0:30:54.800 --> 0:30:56.840
<v Speaker 15>have to think about how to be energy efficient, how

0:30:56.880 --> 0:30:59.280
<v Speaker 15>to be cost efficient before it gets to the scale

0:30:59.280 --> 0:31:00.160
<v Speaker 15>that everybody get.

0:31:00.160 --> 0:31:00.560
<v Speaker 2>To have it.

0:31:01.040 --> 0:31:03.520
<v Speaker 4>Can you for our audience that is not only an

0:31:03.560 --> 0:31:08.160
<v Speaker 4>investing audience, but really a technologically savvy audience. Describe to

0:31:08.280 --> 0:31:11.520
<v Speaker 4>us what it is that's different that enables this higher

0:31:12.000 --> 0:31:14.320
<v Speaker 4>energy efficiency within your particular.

0:31:13.960 --> 0:31:15.840
<v Speaker 3>Type of technology, because it's not GPU at all.

0:31:15.880 --> 0:31:17.920
<v Speaker 15>What is it, right, It's not graphics and so it's

0:31:17.960 --> 0:31:20.680
<v Speaker 15>something that was inventing researchers stand for University. It's called

0:31:20.760 --> 0:31:23.800
<v Speaker 15>data flow architecture, and what it does it allows you

0:31:23.880 --> 0:31:26.640
<v Speaker 15>to actually map the hardware in the way that a

0:31:26.760 --> 0:31:29.560
<v Speaker 15>neural net wants to operate. And so with n video today,

0:31:29.560 --> 0:31:31.960
<v Speaker 15>you're having to break up these neural nets into these

0:31:32.000 --> 0:31:34.880
<v Speaker 15>cores that exists inside the graphics chip, which turns out

0:31:34.880 --> 0:31:36.600
<v Speaker 15>to be a lot of work, a lot of energy,

0:31:36.640 --> 0:31:39.120
<v Speaker 15>a lot of power salmon over with the data flow

0:31:39.160 --> 0:31:42.000
<v Speaker 15>architecture allows you to avoid all of that extra power

0:31:42.040 --> 0:31:44.360
<v Speaker 15>that's be incurred when you actually break up these neural

0:31:44.440 --> 0:31:46.360
<v Speaker 15>nets and let it flow through the machine, and so

0:31:46.400 --> 0:31:51.200
<v Speaker 15>you're getting these order magnitude improvements in power efficiency, which

0:31:51.280 --> 0:31:53.640
<v Speaker 15>ultimately allows you to be able to deploy these in

0:31:53.800 --> 0:31:56.400
<v Speaker 15>existing data centers, which, by the way, is one of

0:31:56.400 --> 0:31:58.360
<v Speaker 15>the things that I think is not talked about. When

0:31:58.360 --> 0:32:01.560
<v Speaker 15>we actually acquire GPUs because you also have to upgrade

0:32:01.560 --> 0:32:04.560
<v Speaker 15>the data centers where for our technology going into existing

0:32:04.640 --> 0:32:09.560
<v Speaker 15>data centers with existing power grids, with existing cooling systems,

0:32:09.840 --> 0:32:12.320
<v Speaker 15>it becomes one of those things that we allows us

0:32:12.320 --> 0:32:14.960
<v Speaker 15>to generate value for enterprises really really quickly.

0:32:15.080 --> 0:32:17.200
<v Speaker 3>What enterprises you already locked in with?

0:32:17.480 --> 0:32:20.120
<v Speaker 4>How are you managing to sell and this narrative into

0:32:20.480 --> 0:32:21.920
<v Speaker 4>corporates and federal government?

0:32:22.160 --> 0:32:25.400
<v Speaker 15>Yeah, we're yeah, we're as a startup again and videos

0:32:25.440 --> 0:32:27.720
<v Speaker 15>at the top of the tier. We're a startup that's

0:32:28.000 --> 0:32:32.000
<v Speaker 15>you know, coming in and then providing disruptive technology. We're

0:32:32.040 --> 0:32:34.520
<v Speaker 15>the most deployed in the US government today as a startup.

0:32:34.640 --> 0:32:36.480
<v Speaker 3>You know, we're going to go into national abs.

0:32:36.200 --> 0:32:37.160
<v Speaker 7>And places like that.

0:32:37.240 --> 0:32:41.040
<v Speaker 15>And and today we power also Saudi Aramco's Metabrane, you know,

0:32:41.120 --> 0:32:44.000
<v Speaker 15>so they're internal GPT. This is a private GPT with

0:32:44.200 --> 0:32:47.520
<v Speaker 15>data trained into it and now operating air gap within

0:32:47.600 --> 0:32:50.320
<v Speaker 15>the company. And so companies that worried about their data

0:32:50.360 --> 0:32:54.040
<v Speaker 15>their secured their privacy can now train these models on

0:32:54.080 --> 0:32:57.800
<v Speaker 15>assemblent of platform completely securely and then deploy within their

0:32:57.840 --> 0:32:59.800
<v Speaker 15>own infrastructure because you don't have to expose the.

0:32:59.760 --> 0:33:01.719
<v Speaker 3>Data outside your firewalls.

0:33:02.720 --> 0:33:07.200
<v Speaker 4>There are other startups in this space, or indeed trying

0:33:07.240 --> 0:33:11.080
<v Speaker 4>to offer more energy efficient options and pay for example

0:33:11.120 --> 0:33:13.840
<v Speaker 4>also back by Oracle. You yourself used to work to Oracle.

0:33:14.360 --> 0:33:16.840
<v Speaker 4>I'm interested as to what your next step is to

0:33:16.880 --> 0:33:17.880
<v Speaker 4>really gain market share.

0:33:17.960 --> 0:33:18.920
<v Speaker 3>Is it about raising funds?

0:33:18.920 --> 0:33:20.800
<v Speaker 4>I know you've got big VC backing for example.

0:33:21.360 --> 0:33:22.040
<v Speaker 7>Yeah, I think you know.

0:33:22.080 --> 0:33:23.080
<v Speaker 3>It's really good point.

0:33:23.400 --> 0:33:26.720
<v Speaker 15>My belief when we started the company back seven years.

0:33:26.560 --> 0:33:27.800
<v Speaker 3>Ago is about access.

0:33:27.960 --> 0:33:30.280
<v Speaker 15>When the marketized AI, you got to make it available

0:33:30.320 --> 0:33:35.320
<v Speaker 15>to everybody. As your previous guests just said, is today

0:33:35.480 --> 0:33:37.960
<v Speaker 15>in video is really in large scale only to a

0:33:38.000 --> 0:33:40.520
<v Speaker 15>few customers. What we want to do by collapsing the

0:33:40.600 --> 0:33:43.480
<v Speaker 15>power is to be able to make it available to everybody,

0:33:43.520 --> 0:33:46.760
<v Speaker 15>to make it easily available, and that means lower cost,

0:33:47.640 --> 0:33:51.040
<v Speaker 15>much lower power and then able to deploy in very

0:33:51.120 --> 0:33:54.640
<v Speaker 15>tight spaces and not regarding needing and giggle what data center.

0:33:54.760 --> 0:33:57.880
<v Speaker 15>So some of that we focus very much on completely

0:33:58.000 --> 0:34:01.840
<v Speaker 15>restructuring the power, the power requirements of the AI infrastructure

0:34:02.080 --> 0:34:05.680
<v Speaker 15>so they can deploy racks at performance that much higher

0:34:05.680 --> 0:34:09.160
<v Speaker 15>than in VideA, not less than VideA, but much higher

0:34:09.160 --> 0:34:10.760
<v Speaker 15>than nvidea and much lower power.

0:34:11.320 --> 0:34:15.279
<v Speaker 4>Samonova Rodrigo Lean CEO talking about some of the alternatives

0:34:15.320 --> 0:34:17.720
<v Speaker 4>out there. John and video, We thank you for coming on. Meanwhile,

0:34:17.760 --> 0:34:21.000
<v Speaker 4>coming up Palo Alto Networks earning. They are looking at

0:34:21.040 --> 0:34:24.720
<v Speaker 4>the first quarter that is proving itself with this focus

0:34:24.760 --> 0:34:27.520
<v Speaker 4>on platformization. We'll dig into that word in a moment.

0:34:27.640 --> 0:34:45.800
<v Speaker 4>CEO Niqushaurra joins us. This is Blue Bag Technology, cybersecurity company,

0:34:45.800 --> 0:34:49.799
<v Speaker 4>Palo Alto Networks, releasing earnings after the market Wednesday. And look,

0:34:49.880 --> 0:34:53.600
<v Speaker 4>we're seeing revenue climbing fourteen percent, earnings climbing thirteen percent.

0:34:53.600 --> 0:34:57.320
<v Speaker 4>We're seeing a focus on platformization and also a stock split.

0:34:57.400 --> 0:34:59.640
<v Speaker 4>We're currently up one and a quarter percent. But let's

0:34:59.640 --> 0:35:02.200
<v Speaker 4>get to the details with the CEO Nikosh Aurora of

0:35:02.320 --> 0:35:05.240
<v Speaker 4>Palo Alto Networks without some volatile trading for the market

0:35:05.280 --> 0:35:07.840
<v Speaker 4>now pushing you higher. And I'm just interested on the

0:35:07.920 --> 0:35:09.480
<v Speaker 4>nu once you are trying to tell.

0:35:09.280 --> 0:35:10.600
<v Speaker 3>A different story to your investors.

0:35:10.640 --> 0:35:13.680
<v Speaker 4>You're talking about platformization, you're talking about bundling. But still

0:35:13.719 --> 0:35:16.279
<v Speaker 4>they want to turn to your billings number. How do

0:35:16.360 --> 0:35:18.320
<v Speaker 4>you manage to get that across to them that stopped

0:35:18.320 --> 0:35:19.560
<v Speaker 4>looking at it because there was a little bit of

0:35:19.600 --> 0:35:20.480
<v Speaker 4>worry about billings.

0:35:21.239 --> 0:35:23.120
<v Speaker 2>Well, first of all, thank you for having me, Carol,

0:35:23.160 --> 0:35:26.200
<v Speaker 2>and I appreciate you saying the word platformization, because this

0:35:26.280 --> 0:35:27.600
<v Speaker 2>is something we've been trying.

0:35:27.320 --> 0:35:28.240
<v Speaker 7>To tell the market.

0:35:28.480 --> 0:35:30.719
<v Speaker 2>I think we are seeing a c shift in the

0:35:30.760 --> 0:35:35.320
<v Speaker 2>cybersecurity industry where people are tired of buying point products

0:35:35.320 --> 0:35:38.200
<v Speaker 2>which are not solving the problem. Today, you have to

0:35:38.200 --> 0:35:40.719
<v Speaker 2>make these products work together. And I was listening to

0:35:40.719 --> 0:35:44.400
<v Speaker 2>the conversations before this. Everybody's talking about AI. AI in

0:35:44.480 --> 0:35:47.200
<v Speaker 2>our business means things are going to happen faster. Attacks

0:35:47.200 --> 0:35:48.480
<v Speaker 2>are going to happen faster. You're going to have to

0:35:48.520 --> 0:35:52.000
<v Speaker 2>resolve them faster, which means you need a common language,

0:35:52.000 --> 0:35:56.560
<v Speaker 2>you need common data which actually points towards integration and

0:35:56.600 --> 0:35:59.439
<v Speaker 2>stuff that works together, or points towards platformization.

0:36:00.000 --> 0:36:03.680
<v Speaker 4>Cloud platform strategy that seems to be earning you plenty

0:36:03.680 --> 0:36:04.200
<v Speaker 4>of companies.

0:36:04.239 --> 0:36:05.239
<v Speaker 3>What is it accumulative?

0:36:05.320 --> 0:36:08.560
<v Speaker 4>You've got one, one hundred platformizations?

0:36:09.120 --> 0:36:12.640
<v Speaker 3>Ultimately, is that more valuable? Is that more reven generating?

0:36:12.640 --> 0:36:14.960
<v Speaker 4>Because people are worried that maybe within this bundling there

0:36:15.000 --> 0:36:16.120
<v Speaker 4>is some discounting going on.

0:36:17.080 --> 0:36:20.320
<v Speaker 2>Well, I think it's important to understand once you deploy

0:36:20.320 --> 0:36:23.319
<v Speaker 2>a platform and it works well for you, you're not going

0:36:23.360 --> 0:36:25.759
<v Speaker 2>to replace it. So You're coming from an industry where

0:36:25.800 --> 0:36:27.560
<v Speaker 2>you look, we've had companies that have worked well for

0:36:27.600 --> 0:36:29.600
<v Speaker 2>eight or ten years, but they've been through a cycle,

0:36:29.800 --> 0:36:31.640
<v Speaker 2>and then you have to replace them and replace them

0:36:31.640 --> 0:36:34.000
<v Speaker 2>on a net new set of vendors because the last

0:36:34.040 --> 0:36:36.320
<v Speaker 2>ones didn't stay innovative enough. And what we're trying to

0:36:36.360 --> 0:36:38.080
<v Speaker 2>do is we're trying to stay evergreen. We're trying to

0:36:38.080 --> 0:36:40.319
<v Speaker 2>be innovative. We're trying to make sure we embed the

0:36:40.400 --> 0:36:44.320
<v Speaker 2>platform as part of your security solution that you logically

0:36:44.320 --> 0:36:46.360
<v Speaker 2>come to us for the next piece of innovation. And

0:36:46.440 --> 0:36:49.040
<v Speaker 2>you have to go through a huge process of constantly

0:36:49.360 --> 0:36:52.840
<v Speaker 2>transforming your security. In state a state today, more customers

0:36:52.880 --> 0:36:56.360
<v Speaker 2>have security transformation projects on tap than any other technology

0:36:56.360 --> 0:36:59.440
<v Speaker 2>transformation because the security landscape is constantly changing.

0:37:00.120 --> 0:37:03.200
<v Speaker 4>Talk about the cyber landscape and whether it changes with

0:37:03.680 --> 0:37:06.520
<v Speaker 4>a new administration. Is there going to be more consolidation,

0:37:06.719 --> 0:37:08.239
<v Speaker 4>and is there going to be more deal making from

0:37:08.280 --> 0:37:10.840
<v Speaker 4>you look, I get.

0:37:10.719 --> 0:37:13.440
<v Speaker 2>Past that in different ways. You know, I'm watching it

0:37:13.520 --> 0:37:15.880
<v Speaker 2>like everybody else and saying it sounds like we're going

0:37:15.920 --> 0:37:18.520
<v Speaker 2>to see the new doge go out and do a

0:37:18.560 --> 0:37:20.440
<v Speaker 2>lot of cost cutting and deploying a lot of technology.

0:37:20.480 --> 0:37:24.560
<v Speaker 2>Now Traditionally, the federal government in the United States has

0:37:24.719 --> 0:37:27.759
<v Speaker 2>been sloughed off new technology rightfully so, perhaps because they

0:37:27.760 --> 0:37:30.600
<v Speaker 2>want to sense their way through it. But as you

0:37:30.680 --> 0:37:33.920
<v Speaker 2>see efficiency, as you see technology investment happening, it has

0:37:33.960 --> 0:37:36.799
<v Speaker 2>to be secure. So I think security gets a knock

0:37:36.840 --> 0:37:39.759
<v Speaker 2>on benefit if we actually see a technology wave coming

0:37:39.800 --> 0:37:43.280
<v Speaker 2>from an administrative perspective, Do I expect regulations to get easier?

0:37:43.320 --> 0:37:45.840
<v Speaker 2>Possibly from an M and A perspective, Do I expect

0:37:45.840 --> 0:37:46.360
<v Speaker 2>that things.

0:37:46.160 --> 0:37:46.759
<v Speaker 7>Will move faster?

0:37:46.880 --> 0:37:49.320
<v Speaker 3>Hopefully? So, I think generally it should.

0:37:49.920 --> 0:37:53.440
<v Speaker 2>Sort of board well for all of us in technology,

0:37:53.680 --> 0:37:55.239
<v Speaker 2>But you know, we'll all find out.

0:37:55.280 --> 0:37:56.000
<v Speaker 1>We'll wait and watch.

0:37:56.400 --> 0:37:59.759
<v Speaker 4>Look as you innovate, as particularly within the world of

0:37:59.760 --> 0:38:04.240
<v Speaker 4>gender to AI, we managed to get more sophisticated cyber protection,

0:38:04.320 --> 0:38:07.680
<v Speaker 4>you're also getting more sophisticated hackers. The US government has

0:38:07.719 --> 0:38:11.600
<v Speaker 4>just flags and flaws with Palo Alto's owned products that might.

0:38:11.440 --> 0:38:12.600
<v Speaker 3>Have been exploited by hackers.

0:38:12.600 --> 0:38:15.040
<v Speaker 4>Can you just tell us a little bit about whether

0:38:15.080 --> 0:38:16.160
<v Speaker 4>that was a realistic one for.

0:38:16.160 --> 0:38:19.800
<v Speaker 3>You, what patches have been made? Well, like what.

0:38:19.680 --> 0:38:23.000
<v Speaker 2>Happens is because we're coming from a hardware industry where

0:38:23.000 --> 0:38:27.320
<v Speaker 2>we sell products, customers deploy them, there's a long product cycle,

0:38:27.320 --> 0:38:29.080
<v Speaker 2>and you've seen this across the industry. At any point

0:38:29.080 --> 0:38:31.840
<v Speaker 2>in time, you know, there's always some bug that is

0:38:31.880 --> 0:38:33.640
<v Speaker 2>out there that needs to be passed and fixed. So

0:38:33.680 --> 0:38:36.160
<v Speaker 2>we're very good about making sure we work with our customers.

0:38:36.200 --> 0:38:38.839
<v Speaker 2>We have full visibility into who has what product. We're

0:38:38.840 --> 0:38:40.480
<v Speaker 2>able to work with them to pass those things. I

0:38:40.480 --> 0:38:44.040
<v Speaker 2>think as we move from a hardware based solution business

0:38:44.080 --> 0:38:46.040
<v Speaker 2>to a software business, which the world is moving to,

0:38:46.320 --> 0:38:48.680
<v Speaker 2>that becomes a lot easier to fix. I think software

0:38:48.920 --> 0:38:52.760
<v Speaker 2>beats hardware from a security recency perspective all the time,

0:38:52.960 --> 0:38:55.239
<v Speaker 2>So as the world transforms there we'll see less than

0:38:55.320 --> 0:38:56.840
<v Speaker 2>less of that in the future.

0:38:57.280 --> 0:39:01.080
<v Speaker 4>As the world transforms, everyone becomes an investor retail community

0:39:01.239 --> 0:39:03.600
<v Speaker 4>as well. Talk to us about your two for one

0:39:03.600 --> 0:39:05.879
<v Speaker 4>stock split. You're already up what thirty percent on the year.

0:39:05.960 --> 0:39:07.680
<v Speaker 4>Is that why you spread it out? Is it about

0:39:07.719 --> 0:39:08.640
<v Speaker 4>giving more access?

0:39:09.320 --> 0:39:10.840
<v Speaker 2>Well, we want to make sure that there is ample

0:39:10.880 --> 0:39:13.799
<v Speaker 2>access to our stock to retailed investors. You know, five

0:39:13.920 --> 0:39:15.640
<v Speaker 2>years ago when I started, we were a sort of

0:39:15.640 --> 0:39:18.520
<v Speaker 2>a niche name from the cybersecurity industry. Or delighted that

0:39:18.560 --> 0:39:20.520
<v Speaker 2>we are now part of the general conversation. We want

0:39:20.520 --> 0:39:22.080
<v Speaker 2>to make sure everybody has access to our stock.

0:39:22.920 --> 0:39:25.640
<v Speaker 4>Well for now, we'll currently see it's going to be

0:39:25.760 --> 0:39:27.560
<v Speaker 4>action in a two for one stock split. We'll see

0:39:27.560 --> 0:39:29.680
<v Speaker 4>how much adoption there is around that. But in cash

0:39:29.760 --> 0:39:32.560
<v Speaker 4>Aurora on the fundamentals and some of the share moves.

0:39:32.560 --> 0:39:34.920
<v Speaker 4>CEO of pallel to Networks, we appreciate your time today.

0:39:35.040 --> 0:39:35.400
<v Speaker 3>Thank you.

0:39:36.040 --> 0:39:39.600
<v Speaker 4>Coming up more earnings, Snowflake giving a pretty strong outlook

0:39:39.640 --> 0:39:40.640
<v Speaker 4>for its product sales growth.

0:39:40.640 --> 0:39:41.440
<v Speaker 3>We dig in this is.

0:39:41.440 --> 0:39:50.080
<v Speaker 11>Blue meg Technology.

0:39:55.680 --> 0:39:56.560
<v Speaker 3>More earnings for you.

0:39:56.760 --> 0:40:00.400
<v Speaker 4>Snowflake shares absolutely jumping after the company go some pretty

0:40:00.400 --> 0:40:03.440
<v Speaker 4>solid sales outlooks for us, suggesting newly launched products are

0:40:03.440 --> 0:40:07.120
<v Speaker 4>receiving a strong reception from customers. Brady Ford has the

0:40:07.160 --> 0:40:10.880
<v Speaker 4>inside take, I mean extraordinary move to the upside from Snowflake.

0:40:10.920 --> 0:40:13.360
<v Speaker 4>We know it's a volatile stop, but what's managing to

0:40:13.400 --> 0:40:14.240
<v Speaker 4>win over customers?

0:40:14.239 --> 0:40:18.399
<v Speaker 10>Bernie in software right now, the big question is who

0:40:18.440 --> 0:40:19.280
<v Speaker 10>gets left.

0:40:19.080 --> 0:40:20.680
<v Speaker 7>Behind in the age of Genai.

0:40:21.239 --> 0:40:24.920
<v Speaker 10>For a long time, investors worried that Snowflake was focusing

0:40:25.000 --> 0:40:28.320
<v Speaker 10>on maybe a two narrow slice of the data market.

0:40:28.400 --> 0:40:31.640
<v Speaker 10>You know, the services used to kind of organize and

0:40:31.680 --> 0:40:35.400
<v Speaker 10>analyze all your data. And Snowflake is successfully making an

0:40:35.520 --> 0:40:38.920
<v Speaker 10>argument that no, in the era of Genai, when folks

0:40:38.960 --> 0:40:42.440
<v Speaker 10>need to understand such a wide array of data and

0:40:42.480 --> 0:40:46.319
<v Speaker 10>turn it into interesting applications, we will remain a platform

0:40:46.440 --> 0:40:48.600
<v Speaker 10>where they spend their money and.

0:40:48.560 --> 0:40:49.600
<v Speaker 7>Make their decisions.

0:40:49.600 --> 0:40:52.400
<v Speaker 10>And so that's what investors are reacting to in these results.

0:40:52.560 --> 0:40:54.719
<v Speaker 4>They organize, they analyze your data, but when it comes

0:40:54.760 --> 0:40:56.600
<v Speaker 4>to unstructured data, they're having.

0:40:56.400 --> 0:40:58.160
<v Speaker 3>To make purchases. Here, it's a bit of.

0:40:58.239 --> 0:41:00.120
<v Speaker 7>M and a Yes.

0:41:00.280 --> 0:41:03.759
<v Speaker 10>So many have heard of this famous rivalry between Snowflake

0:41:03.800 --> 0:41:06.480
<v Speaker 10>and Data Bricks for a long time. The argument was

0:41:06.520 --> 0:41:10.200
<v Speaker 10>that data Bricks handled the unstructured data better, and that's

0:41:10.200 --> 0:41:13.000
<v Speaker 10>the real you know, something that's not in a spreadsheet,

0:41:13.000 --> 0:41:15.760
<v Speaker 10>something that's real disorganized. Maybe it's a bunch of Google docs.

0:41:15.760 --> 0:41:17.839
<v Speaker 10>You want to be able to scan through and say, hey,

0:41:18.280 --> 0:41:21.160
<v Speaker 10>give me insights. And so Snowflake has worked to beef

0:41:21.280 --> 0:41:24.000
<v Speaker 10>up their ability to deal with that kind of hard

0:41:24.000 --> 0:41:26.960
<v Speaker 10>to access data. And yeah, last night we saw them

0:41:26.960 --> 0:41:30.439
<v Speaker 10>make an acquisition of a startup that focuses specifically on

0:41:31.080 --> 0:41:34.440
<v Speaker 10>ingesting this kind of messy, unstructured data you need for

0:41:34.760 --> 0:41:36.440
<v Speaker 10>a lot of Genai use cases.

0:41:37.400 --> 0:41:39.440
<v Speaker 4>I know that you've reported a lot on that rivalry.

0:41:39.480 --> 0:41:41.279
<v Speaker 4>So see if that M and A does indeed help.

0:41:41.320 --> 0:41:45.400
<v Speaker 4>But under the guidance of the new leadership in Ramaswami,

0:41:45.440 --> 0:41:49.400
<v Speaker 4>he's also trying to integrate large language models, right, how

0:41:49.480 --> 0:41:52.920
<v Speaker 4>is this being seen in the anthropic deal Exactly?

0:41:52.960 --> 0:41:55.960
<v Speaker 10>They want to bring more LLLM access right into the

0:41:56.000 --> 0:41:58.880
<v Speaker 10>Snowflake platform. So if you want to do things like

0:41:59.400 --> 0:42:03.080
<v Speaker 10>against stand through all your information and pull out insights,

0:42:03.239 --> 0:42:07.520
<v Speaker 10>make dashboards, make visualizations, you can do it right in Snowflake.

0:42:07.520 --> 0:42:09.640
<v Speaker 10>You don't have to go open up a new you know,

0:42:09.760 --> 0:42:14.440
<v Speaker 10>Azure instance or leave the platform. So bringing anthropic models

0:42:14.520 --> 0:42:17.880
<v Speaker 10>right into Snowflake is again hoping to make it a

0:42:17.920 --> 0:42:21.680
<v Speaker 10>platform where you remain where kind of your most important

0:42:21.719 --> 0:42:24.040
<v Speaker 10>data is. They really hope to be a center of

0:42:24.120 --> 0:42:27.680
<v Speaker 10>gravity for all your information and not just something you

0:42:27.680 --> 0:42:30.480
<v Speaker 10>you know, use when you want to make an analysis

0:42:30.480 --> 0:42:32.160
<v Speaker 10>of a spreadsheet somebody sent to you.

0:42:33.400 --> 0:42:36.520
<v Speaker 4>Brady Ford, across the Snowflake moves and indeed some of

0:42:36.560 --> 0:42:39.439
<v Speaker 4>the intricacies and the earnings we thank you. Look, let's

0:42:39.440 --> 0:42:42.080
<v Speaker 4>just get a border perspective of how snowflakes thirty percent

0:42:42.200 --> 0:42:44.400
<v Speaker 4>the upside fits into what's happening more broadly across the

0:42:44.480 --> 0:42:49.319
<v Speaker 4>NASDAK because look, it hasn't been an round out risk

0:42:49.400 --> 0:42:51.759
<v Speaker 4>on kind of a day. In fact, we've been lower pulled,

0:42:51.800 --> 0:42:54.680
<v Speaker 4>lowered by about two tens a percent, large part because

0:42:54.719 --> 0:42:57.080
<v Speaker 4>of Nvideos off by one point seven percent, Alphabet two

0:42:57.320 --> 0:43:00.000
<v Speaker 4>on the back of that formalization of Bloomberg reporting. Then

0:43:00.040 --> 0:43:02.440
<v Speaker 4>indeed the DOJ does want it to be selling off

0:43:02.480 --> 0:43:04.640
<v Speaker 4>Chrome for example, but in video of by one point

0:43:04.719 --> 0:43:08.000
<v Speaker 4>seven percent is important because it is the most valuable company.

0:43:08.120 --> 0:43:09.920
<v Speaker 4>It is going to have a huge points perspective when

0:43:09.920 --> 0:43:10.560
<v Speaker 4>it drags lower.

0:43:10.560 --> 0:43:11.520
<v Speaker 3>But look, we were.

0:43:11.440 --> 0:43:14.000
<v Speaker 4>Anticipating in the options market there's mure an eight percent

0:43:14.080 --> 0:43:17.799
<v Speaker 4>swing upside or downside. So this is relatively stable, shall

0:43:17.840 --> 0:43:20.760
<v Speaker 4>we say. After earnings did show a ninety four percent

0:43:20.800 --> 0:43:23.920
<v Speaker 4>increase in revenue, a seventy percent increase in revenue for

0:43:23.960 --> 0:43:26.680
<v Speaker 4>the Guide, and margins being pretty strong.

0:43:26.920 --> 0:43:28.520
<v Speaker 3>Interestingly, the chops that the.

0:43:28.520 --> 0:43:31.680
<v Speaker 4>Socks the chip sector is up some seven percent, so

0:43:31.760 --> 0:43:33.600
<v Speaker 4>the rest of the market doing well today. Have a

0:43:33.640 --> 0:43:36.000
<v Speaker 4>look at what's happening with Alphabet because the parent company

0:43:36.000 --> 0:43:39.640
<v Speaker 4>of Google off another six point eight percent today. Once again,

0:43:39.920 --> 0:43:44.120
<v Speaker 4>this anxiety surrounding antitrust and how it might have to

0:43:44.120 --> 0:43:46.319
<v Speaker 4>be split off weighing on the stock that does it.

0:43:46.680 --> 0:43:49.280
<v Speaker 4>In this edition of Bloomberg Technology, a lot to get through.

0:43:49.680 --> 0:43:51.560
<v Speaker 4>You want to check it all out again on the podcast.

0:43:51.719 --> 0:43:53.880
<v Speaker 4>You'll find it on the terminal, as well as online.

0:43:53.640 --> 0:43:57.280
<v Speaker 3>On Apple, Spotify, and iHeart. This is Bloomberg

0:44:00.239 --> 0:44:04.800
<v Speaker 7>Today, The Healthy Everyday, Healthy Everyday, The health of