WEBVTT - Cisco Slips and Walmart Rises Post-Earnings

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from Marhard.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 3>This is Bloomberg Technology with Caroline Hyde and Ed lud Love.

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<v Speaker 4>I'm Caroline Heyde a Bloomberg's World headquarters in New York,

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<v Speaker 4>and I'm Ed Lodlow in San Francisco.

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<v Speaker 5>This is Bloomberg Technology coming up.

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<v Speaker 4>Full earnings coverage ahead. We've got Cisco. It's sliding because

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<v Speaker 4>analysts dub its outlook conservative.

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<v Speaker 6>We'll hear from the CFO Plust.

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<v Speaker 7>We dig into Walmart's results as the commerce giant posts

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<v Speaker 7>a big jump in its online business.

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<v Speaker 4>Only We're just sitting down with the CEO of hot

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<v Speaker 4>Ai search startup Perplexity to discuss growing competition in the

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<v Speaker 4>search space and a new set of board advisors in

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<v Speaker 4>the here and then now is to dig in to

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<v Speaker 4>investor sentiment more broadly. We can do that across geographies,

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<v Speaker 4>across industry groups, but really to really tackle these record highs,

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<v Speaker 4>where with Principal Asset Management Chief Global Strategist Sema Shah

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<v Speaker 4>joining us and look, I mean game on today from

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<v Speaker 4>a macro perspective and will it carry on into the

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<v Speaker 4>tech outperformance.

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<v Speaker 3>Do you think hi creator the honesty. Look, it's clearly

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<v Speaker 3>it's a good risk one day. I think there's fundamental

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<v Speaker 3>reasons for that. You know, of course there's a discussion

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<v Speaker 3>about rape cuts coming back onto the agenda. But I

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<v Speaker 3>think more fundamentally, we can see that from the economic

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<v Speaker 3>data it's slowing, but we're not talking about a weak

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<v Speaker 3>economy as yet at least, so this is still a

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<v Speaker 3>fundamentally strong economy, which means it and should be fairly

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<v Speaker 3>solid as we go through THEA and that should translate

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<v Speaker 3>into a broadening of the rally, which is why we're

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<v Speaker 3>seeing so many of them.

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<v Speaker 8>Disease reach record highs.

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<v Speaker 7>As Sebahad dead in San Francisco. Looking at all the

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<v Speaker 7>index level energy so far yere today, right and you

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<v Speaker 7>look at the NAZAQ one hundred s and P five hundred.

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<v Speaker 7>I can't believe we showed the Dow Jones Industrial average

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<v Speaker 7>and the top of this program today. But I think

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<v Speaker 7>what I'm trying to find out is if there's any

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<v Speaker 7>commonality in the direction of the market and strip out

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<v Speaker 7>the mag seven, because I know that that's top of

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<v Speaker 7>mind for so many people. Is there something in common

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<v Speaker 7>for this market, or is it still dominated by our

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<v Speaker 7>view of those single technology names.

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<v Speaker 3>So I think those single technous they are clearly still

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<v Speaker 3>dominating the market.

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<v Speaker 8>They're driving a lot.

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<v Speaker 3>But what you have seen from the most recent earning

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<v Speaker 3>season is that this good performance is spreading out to

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<v Speaker 3>other parts of the economy.

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<v Speaker 8>Other sectors have done pretty well. So if that can

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<v Speaker 8>be maintained, and particularly if you.

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<v Speaker 3>Do actually start adding in those ratee puts towards the

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<v Speaker 3>last part of the year, that will help the story,

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<v Speaker 3>particularly for certain segments of the market. I mean, even

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<v Speaker 3>if you just thinking about small caps, they need those

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<v Speaker 3>rate cuts. But overall this is a broad good story.

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<v Speaker 3>We still probably need to see a little bit more

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<v Speaker 3>evidence in order to secure that perspective, but at least

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<v Speaker 3>for now, the evidence that is coming in suggests that

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<v Speaker 3>this isn't just a year for the mag seven but

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<v Speaker 3>it's going to be a year for the broad act market.

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<v Speaker 4>What about the valuations of well, they're fewer than seven

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<v Speaker 4>now when they're magnificent, But more broadly, let's call it

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<v Speaker 4>chip stocks, let's call it the winning formula of Nvidia,

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<v Speaker 4>of Well, Alphabet, even Apple getting some lift again.

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<v Speaker 6>Now, are those valuations out of whack.

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<v Speaker 8>It's interesting.

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<v Speaker 3>I was traveling across the US last week and I

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<v Speaker 3>was with investors everywhere, and that was a question that

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<v Speaker 3>still keeps coming up, is you know, do we think

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<v Speaker 3>of this as overvalued and is a time for a correction?

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<v Speaker 3>So we would definitely push back on that. Yes, it's

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<v Speaker 3>a little bit frothy, but do we make comparisons to

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<v Speaker 3>the dot com bubble?

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<v Speaker 8>Absolutely not. These earnings are somewhat believable, maybe a.

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<v Speaker 3>Little bit frothy, as I said, but there's actually something

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<v Speaker 3>fundamental in those valuations.

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<v Speaker 8>So it doesn't really concern us.

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<v Speaker 3>Inevitably with this kind of market, when there's so much

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<v Speaker 3>good news priced in, there's always going to be risk

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<v Speaker 3>of a bit of a pullback, But we look at

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<v Speaker 3>the tech story as a long term play, and from

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<v Speaker 3>a long term play, we still it's still one of

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<v Speaker 3>our favored areas of the market.

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<v Speaker 5>It talks about the good news that's priced in. Seema.

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<v Speaker 7>I don't want to bring the mood down, but something

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<v Speaker 7>we've been talking a lot about recently on the show

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<v Speaker 7>is the relationship between the US and China, whether it's

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<v Speaker 7>constructive or otherwise. Is that a headwind you're factoring in

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<v Speaker 7>right now, particularly when you look at the technology sector,

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<v Speaker 7>so Ineffe, it's.

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<v Speaker 3>Something that we do to consider, especially when you're going

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<v Speaker 3>into the presidential election, where China is going to be

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<v Speaker 3>top of the news as we get close from closer

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<v Speaker 3>to that point. So it is something we consider, but

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<v Speaker 3>I think it's very much on a single stock name basis,

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<v Speaker 3>because there's some which are going to be particularly exposed

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<v Speaker 3>and others which are not so much. The good news

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<v Speaker 3>from a China stundpoint, though, is from the most recent

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<v Speaker 3>data that we're seeing come in there does seem like

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<v Speaker 3>it's a bit of a sickle club term, nothing to

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<v Speaker 3>rave on about, but something at least to lift at

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<v Speaker 3>least expectations. If that is carried through then certainly for

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<v Speaker 3>a lot of those bigger multinational tech companies which have

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<v Speaker 3>got so much exposure to China, it does suggest.

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<v Speaker 8>That they are a little bit less at risk than

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<v Speaker 8>we would have considered.

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<v Speaker 3>But certainly the geopolitics is something we always have to watch,

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<v Speaker 3>but it's not yet at that point where it's changing

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<v Speaker 3>up perspective on positivity about the sector.

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<v Speaker 4>I like that we go global because look, it's not

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<v Speaker 4>just US stocks have done particularly well of late Japanese

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<v Speaker 4>stocks on a tear, European stocks at Sandraman and at

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<v Speaker 4>a record as well. Where are you liking other geographies

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<v Speaker 4>right now?

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<v Speaker 3>Yeah, And it's a great question because at the moment,

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<v Speaker 3>I mean, at least for the last couple of weeks,

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<v Speaker 3>what we've been challenged with in the market is that

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<v Speaker 3>although I think a lot of people continue to believe

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<v Speaker 3>in use exceptionalism, they have been confounded by the fact

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<v Speaker 3>that the rat debate continues. We're not very sure about

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<v Speaker 3>where that's going. When you think about the growth story,

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<v Speaker 3>you're suddenly the economic downside surprises in the US, and

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<v Speaker 3>then of course there's evaluation. So then this is probably

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<v Speaker 3>a good time to start thinking outside of the US,

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<v Speaker 3>and there are some good stories.

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<v Speaker 8>So if you think about Europe, which.

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<v Speaker 3>Is the perennial disappointment, but now you're seeing that we

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<v Speaker 3>know what the ECB is going to do, we have

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<v Speaker 3>I think pretty much good confidence that there's going to

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<v Speaker 3>be cut in June, and then thereafter we know that

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<v Speaker 3>we're starting to see a cyclical economic upside upside surprise,

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<v Speaker 3>not an acceleration, but at least we're seeing some good

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<v Speaker 3>news come through, and then valuations more attractive.

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<v Speaker 8>So if you look across Europe, that's fairly good news.

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<v Speaker 3>And even in China, as I said, given where sentiment was,

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<v Speaker 3>you couldn't get much worse than that. And now with

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<v Speaker 3>the economic data seeing some signs of brightness, that is

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<v Speaker 3>looking like a more attractive part of the market too.

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<v Speaker 7>A Seema, you're a regular on Bloomberg Television. You're a

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<v Speaker 7>regular here on Bloomberg Technology away from the market, So

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<v Speaker 7>I wanted to ask you about how you're using AI

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<v Speaker 7>at work or at home. You know we're going to

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<v Speaker 7>be talking later about AI driven search. What have you

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<v Speaker 7>been up to in the world of AI.

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<v Speaker 3>Look, I mean, I think any company out there has

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<v Speaker 3>to be embracing AI and trying to figure out where

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<v Speaker 3>they can.

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<v Speaker 8>Use it in any parts of working home.

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<v Speaker 3>So from a work perspective, of course, trying to adopt

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<v Speaker 3>AI into our models, trying to analyze the companies from

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<v Speaker 3>a single sector, single stock perspective. That is going to

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<v Speaker 3>be the easiest way to try and do full analysis

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<v Speaker 3>and get a full complete level of information.

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<v Speaker 8>So that is something that we're trying to bring into work.

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<v Speaker 3>I have some more children. AI is the stuff that

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<v Speaker 3>they talk about it at school. As well, so you

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<v Speaker 3>can see that this is everywhere. It's not just dominated

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<v Speaker 3>by the finance news.

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<v Speaker 7>Princevill Asset Management, Chief Global Strategy as semashark Ai everything

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<v Speaker 7>all the time and markets.

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<v Speaker 5>What more can you ask for? On Bloombo Technology.

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<v Speaker 7>Coming up on the show, we're going to hear from

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<v Speaker 7>the Cisco CFO Scott Heron is the company's slides and

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<v Speaker 7>its outlook is being seen as conservative as coming up next,

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<v Speaker 7>Stick with us because we'll be right back.

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<v Speaker 5>This is Bloombo Technology.

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<v Speaker 6>Got to talk.

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<v Speaker 4>Cisco because it's been quite the volatile trade after hours

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<v Speaker 4>and in today's training. We're now off by one point

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<v Speaker 4>seven percent, moving lower well despite the forecast actually showing

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<v Speaker 4>a return of customer spending of networking gear, analysts dubbing

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<v Speaker 4>the outlook perhaps a little conservative. Wiliam had got the

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<v Speaker 4>chance to discuss all of the results earlier with Cisco

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<v Speaker 4>CFO Scott Heron Tickulasen.

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<v Speaker 9>So this was our fiscal third quarter that we announced.

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<v Speaker 9>Then normally I wouldn't guide fiscal twenty five until we

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<v Speaker 9>get to the fourth quarter earnings call. But you know,

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<v Speaker 9>we just acquired Splunk. So the big news for us

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<v Speaker 9>is we acquired Splunk. We got a closed mid quarter,

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<v Speaker 9>and I think the analysts are all trying to adjust

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<v Speaker 9>now to what does the combined company look like.

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<v Speaker 2>So what I wanted to do is kind of.

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<v Speaker 9>Get ahead of that with fiscal twenty five and without

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<v Speaker 9>doing a fulsome guide, just get enough information out there

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<v Speaker 9>so that they could narrow down their expectations for fiscal

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<v Speaker 9>twenty five conservative. I think it's a first view of

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<v Speaker 9>where that's going, you know. I think the encouraging thing

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<v Speaker 9>for us is we've worked through the supply chain disruptions

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<v Speaker 9>that we had that caused us to build up a

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<v Speaker 9>huge backlog, and then we're able to clear as we

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<v Speaker 9>got the components in, we're able to clear that backlog,

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<v Speaker 9>revenue spiked, and now we're having to compare to those

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<v Speaker 9>to those compare points, so the year on years are

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<v Speaker 9>a little bit difficult to actually discern what's happening in

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<v Speaker 9>the underlying business. We spent some time trying to unpack

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<v Speaker 9>that for the for investors yesterday, and we'll do some

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<v Speaker 9>more of that with the byside later. So first view,

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<v Speaker 9>but really just trying to give them enough insight so

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<v Speaker 9>that the models would start to converge on what we think.

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<v Speaker 2>Is the right set of numbers.

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<v Speaker 1>So it sounds like you're not saying no, but making

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<v Speaker 1>the point that it's very early. I mean, twenty twenty five,

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<v Speaker 1>who knows what will happen. But let's talk a little

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<v Speaker 1>bit more about inventory.

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<v Speaker 10>You make the point that it feels like you've turned

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<v Speaker 10>a corner when it comes to a lot of those

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<v Speaker 10>supply chain disruptions, and what does that say about corporate spending.

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<v Speaker 10>A lot of people looked at this report and said,

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<v Speaker 10>there's screenshoots there, there's a bit of an uptick.

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<v Speaker 1>That's the case. Where is that coming from? What kind

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<v Speaker 1>of customers are we seeing that demand from?

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<v Speaker 9>You know, what's really interesting for us? And of course

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<v Speaker 9>we've got Splunk added in for just half a quarter.

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<v Speaker 9>So if you net that out and look at what

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<v Speaker 9>the core business apples to Apple's basis, looks like. Actually

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<v Speaker 9>orders were flat overall, which is an improvement from where

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<v Speaker 9>it's been as customers have been really trying to implement

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<v Speaker 9>the huge amount of product that we shipped out to

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<v Speaker 9>them in three consecutive quarters.

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<v Speaker 2>We see that ending.

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<v Speaker 9>We see them getting through implementing all of the product

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<v Speaker 9>that we ship to them. By about the end of

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<v Speaker 9>this fiscal quarter, which for US will end at the

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<v Speaker 9>end of July, and as that happens, we're already starting

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<v Speaker 9>to see demand return and product orders flat, I think

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<v Speaker 9>encouragingly within that overall flat growth in security orders, growth

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<v Speaker 9>in collaboration orders, but most importantly growth in data center

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<v Speaker 9>networking orders, which has been a headwind for some time,

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<v Speaker 9>and growth in campus switching. And I think the campus

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<v Speaker 9>switching one surprised a lot of people that we're seeing

0:10:54.679 --> 0:10:57.160
<v Speaker 9>growth there with the sense that you know, there's more

0:10:57.280 --> 0:10:59.959
<v Speaker 9>vacant office space than there's ever been. How can campus

0:11:00.040 --> 0:11:02.560
<v Speaker 9>switching be growing? So I think it's an encouraging sign.

0:11:02.880 --> 0:11:05.640
<v Speaker 1>So some tailwinds there, and it took me through questions,

0:11:05.679 --> 0:11:05.880
<v Speaker 1>but we.

0:11:05.920 --> 0:11:08.920
<v Speaker 10>Have to talk about AI because of course a detail

0:11:09.000 --> 0:11:10.680
<v Speaker 10>that caught a lot of people's eyes was the fact

0:11:10.679 --> 0:11:14.280
<v Speaker 10>that you have about a billion dollars on AI infrastructure

0:11:14.360 --> 0:11:17.280
<v Speaker 10>orders in sight. And I guess my question there is

0:11:17.640 --> 0:11:20.520
<v Speaker 10>is that for a particular line of business, where would

0:11:20.520 --> 0:11:22.160
<v Speaker 10>that spending actually be taking.

0:11:22.000 --> 0:11:22.960
<v Speaker 1>Place within Cisco.

0:11:23.520 --> 0:11:26.040
<v Speaker 9>Yeah, it's a great question. That's not a new data

0:11:26.080 --> 0:11:28.600
<v Speaker 9>point we put that out there. It's in the back end.

0:11:28.679 --> 0:11:30.360
<v Speaker 9>So if you think of how these AI models get

0:11:30.400 --> 0:11:32.959
<v Speaker 9>trained and then get used, which is called inferencing. It's

0:11:33.000 --> 0:11:35.240
<v Speaker 9>in the back end, so it's networking and optics in

0:11:35.280 --> 0:11:37.600
<v Speaker 9>the back end. A lot of that going to the big,

0:11:37.760 --> 0:11:39.959
<v Speaker 9>large public clouds that you'd expect in the Tier two

0:11:40.720 --> 0:11:43.160
<v Speaker 9>AI infrastructure build out is what drives them.

0:11:44.920 --> 0:11:49.719
<v Speaker 7>Cisco CFO Scott Heron giving Frankly a classic class on

0:11:49.920 --> 0:11:53.160
<v Speaker 7>being a CFO for a technology company. Let's get some

0:11:53.280 --> 0:11:57.320
<v Speaker 7>clarity on Cisco It's technology and its endings. Efering Bloombergsy

0:11:57.400 --> 0:12:00.839
<v Speaker 7>and King. There was a lot of CFO speaking on

0:12:01.040 --> 0:12:04.640
<v Speaker 7>pick it for us and explain the quarter that's just gone.

0:12:04.880 --> 0:12:06.599
<v Speaker 11>Yeah, I think the best way to view it is

0:12:06.679 --> 0:12:08.760
<v Speaker 11>through the lens of what happened with the share price.

0:12:09.120 --> 0:12:12.280
<v Speaker 11>We had an initial spike yesterday and after hours right

0:12:12.400 --> 0:12:15.160
<v Speaker 11>exactly and after hours trading, and today we're sort of

0:12:15.440 --> 0:12:17.920
<v Speaker 11>down moderately a little bit more sober.

0:12:18.240 --> 0:12:20.520
<v Speaker 2>What really happened and Scott kind.

0:12:20.360 --> 0:12:24.000
<v Speaker 11>Of alluded to that was the expectation for orders was

0:12:24.160 --> 0:12:27.280
<v Speaker 11>that they would be down possibly as much as ten percent,

0:12:27.400 --> 0:12:28.160
<v Speaker 11>maybe even.

0:12:28.080 --> 0:12:32.120
<v Speaker 2>More in the quarter that they just reported came in.

0:12:32.600 --> 0:12:35.560
<v Speaker 11>It's kind of okay, maybe up slightly when you include

0:12:35.600 --> 0:12:38.000
<v Speaker 11>this new acquisition. So there was like, oh, things aren't

0:12:38.040 --> 0:12:40.839
<v Speaker 11>as bad as we had feared. Kind of reaction that

0:12:40.960 --> 0:12:44.439
<v Speaker 11>happened in the after hours. Then when we go through

0:12:44.480 --> 0:12:47.319
<v Speaker 11>the numbers and listen to the call, we've seen a

0:12:47.400 --> 0:12:51.040
<v Speaker 11>reaction this morning which is more like, yeah, okay, it's okay.

0:12:51.320 --> 0:12:53.920
<v Speaker 11>But bearing in mind they've just done this massive acquisition,

0:12:54.080 --> 0:12:56.040
<v Speaker 11>maybe they're not getting quite the kick from that.

0:12:56.720 --> 0:12:59.920
<v Speaker 4>Yeah, I mean, we have to take Splunk into consideration here,

0:13:00.080 --> 0:13:02.920
<v Speaker 4>and there's gonna be new role of president for example,

0:13:03.000 --> 0:13:05.880
<v Speaker 4>in But what about some of the other partnerships natural

0:13:06.000 --> 0:13:07.560
<v Speaker 4>M and A. But you know, they had this big

0:13:07.640 --> 0:13:11.079
<v Speaker 4>fanfare of an end video deal and partnership has that

0:13:11.360 --> 0:13:13.480
<v Speaker 4>bringing in any much needed revenue streams.

0:13:14.280 --> 0:13:16.040
<v Speaker 11>Well that is still in the early day, so we

0:13:16.120 --> 0:13:18.600
<v Speaker 11>don't really know. But you know, back to the conversation

0:13:18.760 --> 0:13:20.760
<v Speaker 11>that was had with Scott and the big question of

0:13:20.840 --> 0:13:26.560
<v Speaker 11>this billion dollar of AI related orders. Obviously Cisco wants

0:13:26.640 --> 0:13:29.040
<v Speaker 11>to go to the party too at the moment though,

0:13:29.240 --> 0:13:31.600
<v Speaker 11>and there were a lot of questions on the call yesterday, well,

0:13:31.640 --> 0:13:33.440
<v Speaker 11>what exactly do you mean by a billion dollars?

0:13:33.600 --> 0:13:34.880
<v Speaker 2>Who's giving you these orders?

0:13:35.080 --> 0:13:37.079
<v Speaker 11>How sure are you that these are real orders and

0:13:37.200 --> 0:13:39.240
<v Speaker 11>not just an aspirational goal, and there was a lot

0:13:39.280 --> 0:13:41.880
<v Speaker 11>of to and fro with a leadership team about you

0:13:41.960 --> 0:13:44.320
<v Speaker 11>know what that really means and whether this is real

0:13:44.679 --> 0:13:48.520
<v Speaker 11>and really the bottom line is that investors aren't quite

0:13:48.600 --> 0:13:51.520
<v Speaker 11>yet ready to let Cisco go into that AI party.

0:13:52.040 --> 0:13:54.760
<v Speaker 7>I and you broke a story literally as we started

0:13:54.760 --> 0:13:57.520
<v Speaker 7>the show and before you walked on set about ampare

0:13:57.800 --> 0:14:02.679
<v Speaker 7>the chip company teaming up with to make AI technology

0:14:02.720 --> 0:14:05.800
<v Speaker 7>AI infrastructure. I didn't know that Qualcom was in that

0:14:06.000 --> 0:14:08.559
<v Speaker 7>line of business. I do now give us the details.

0:14:08.640 --> 0:14:10.959
<v Speaker 11>Yeah, I mean what's going on. There is Umpair, who

0:14:11.000 --> 0:14:13.679
<v Speaker 11>we had at our tech conference flash It. They're an

0:14:14.000 --> 0:14:16.719
<v Speaker 11>armed server chip company trying to get into all of

0:14:16.840 --> 0:14:20.640
<v Speaker 11>the big hyperscalers. They're teaming up with Qualcomm to bring

0:14:20.720 --> 0:14:24.200
<v Speaker 11>in this accelerator to try to basically bring a cheaper

0:14:24.240 --> 0:14:26.800
<v Speaker 11>alternative to the kind of thing that Nvidia is selling

0:14:26.840 --> 0:14:27.760
<v Speaker 11>for many tens.

0:14:27.560 --> 0:14:29.960
<v Speaker 2>Of thousands of dollars. We'll see how well that goes.

0:14:30.000 --> 0:14:31.320
<v Speaker 2>We'll see how well that performs.

0:14:31.760 --> 0:14:35.280
<v Speaker 4>I mean, we sat with Renee James, both you and

0:14:35.360 --> 0:14:38.320
<v Speaker 4>I individually at various points throughout that event last week.

0:14:38.400 --> 0:14:40.760
<v Speaker 4>I and she has a brother fresh air in many

0:14:40.840 --> 0:14:43.640
<v Speaker 4>ways to the area of computing and the startup side

0:14:43.640 --> 0:14:44.920
<v Speaker 4>of things. But it looks like there's kind of a

0:14:44.960 --> 0:14:47.600
<v Speaker 4>trifecta going on. They can't just do it alone. They've

0:14:47.600 --> 0:14:50.760
<v Speaker 4>got to be working whether super Micro's involved, super Microcomputer

0:14:50.880 --> 0:14:55.480
<v Speaker 4>alongside Qualcom, alongside a pair. But the key refrain coming

0:14:55.520 --> 0:14:58.000
<v Speaker 4>from everyone is energy right efficiency.

0:14:57.560 --> 0:15:01.720
<v Speaker 11>Here, Yeah, as you as you point out, Reno is

0:15:01.720 --> 0:15:04.680
<v Speaker 11>pretty fired up about this, and she's making a point

0:15:04.720 --> 0:15:07.680
<v Speaker 11>which many agree, which is we cannot carry on like this.

0:15:08.360 --> 0:15:10.760
<v Speaker 11>The cost of AI in terms of power, in terms

0:15:10.800 --> 0:15:13.720
<v Speaker 11>of money is just too great right now. We need

0:15:14.200 --> 0:15:17.920
<v Speaker 11>technology answers to that problem. We need more efficient chips,

0:15:17.960 --> 0:15:20.560
<v Speaker 11>we need cheaper chips, and she's trying to offer that

0:15:21.360 --> 0:15:23.600
<v Speaker 11>her company as a solution to that problem.

0:15:24.560 --> 0:15:27.400
<v Speaker 4>Well, certainly managing to come out to the market with

0:15:28.080 --> 0:15:30.600
<v Speaker 4>a combination offering at the moment, Ian, it's brilliant that

0:15:30.600 --> 0:15:31.560
<v Speaker 4>you got to break it for us.

0:15:31.640 --> 0:15:42.640
<v Speaker 6>Thank you, Blue Meg's Ian King. Time now for talking tech.

0:15:42.800 --> 0:15:45.560
<v Speaker 4>First up, Microsoft is said to have asked hundreds of

0:15:45.600 --> 0:15:48.320
<v Speaker 4>its China based AI staff to consider relocating.

0:15:48.400 --> 0:15:49.880
<v Speaker 6>That's all, according to the Wall Street Journal.

0:15:50.040 --> 0:15:52.360
<v Speaker 4>Now, the tech giant has asked its employees based in

0:15:52.480 --> 0:15:55.480
<v Speaker 4>China to move to a different country, perhaps US, but Ireland,

0:15:55.480 --> 0:15:58.280
<v Speaker 4>Australia and New Zealand. It's all a growing tensions between

0:15:58.320 --> 0:16:01.200
<v Speaker 4>the US and China on technology. Those who choose not

0:16:01.360 --> 0:16:05.000
<v Speaker 4>to transfer could remain working in the country for now. Plus,

0:16:05.520 --> 0:16:08.960
<v Speaker 4>Michael Varie's investment firm is doubling down on its Chinese

0:16:09.040 --> 0:16:11.680
<v Speaker 4>investments JD dot Com, Ali barber Now. According to thirteen

0:16:11.800 --> 0:16:14.880
<v Speaker 4>f filings, JD was the firm's top holding after boosting

0:16:14.920 --> 0:16:17.520
<v Speaker 4>its stake by eighty percent, with Ali Barba coming in second.

0:16:17.720 --> 0:16:19.800
<v Speaker 4>Laberia has been making a return to the Chinese tech

0:16:19.840 --> 0:16:22.840
<v Speaker 4>sector after exiting them at one point in twenty twenty three,

0:16:23.520 --> 0:16:26.840
<v Speaker 4>and revenue for Baydo grew at actually its slowest pace

0:16:26.880 --> 0:16:29.200
<v Speaker 4>in more than a year. Chinese internet search leader look

0:16:29.240 --> 0:16:33.080
<v Speaker 4>At struggling to turn its investments into generative AI into actually.

0:16:32.880 --> 0:16:34.360
<v Speaker 6>Real revenue real earnings.

0:16:34.480 --> 0:16:36.160
<v Speaker 4>They came in at four point four billion for the

0:16:36.240 --> 0:16:39.240
<v Speaker 4>three months ending in March. Meanwhile, JD dot Com reported

0:16:39.320 --> 0:16:42.000
<v Speaker 4>well better than expected seven percent rise in revenue, this

0:16:42.120 --> 0:16:45.440
<v Speaker 4>after the Beijing based retailer actually cut prices ramped up

0:16:45.480 --> 0:16:48.800
<v Speaker 4>customer perks to counter us on that competition. JD dot

0:16:48.840 --> 0:16:51.160
<v Speaker 4>COM's results are seen as one of the key bellweathers

0:16:51.200 --> 0:16:53.680
<v Speaker 4>of Chinese consumption, which look a struggle to recover since

0:16:53.720 --> 0:16:55.120
<v Speaker 4>the country lifted COVID curbs.

0:16:56.760 --> 0:16:58.920
<v Speaker 7>Yeah, there's going to be a big global e commerce

0:16:59.000 --> 0:17:02.160
<v Speaker 7>theme in today's show because Walmart's also out with its

0:17:02.240 --> 0:17:04.920
<v Speaker 7>results this morning. It showed a twenty two percent jump

0:17:05.040 --> 0:17:08.119
<v Speaker 7>year over year in its online business. This is e

0:17:08.320 --> 0:17:10.960
<v Speaker 7>commerce growth, principally in the US. Let's get out to

0:17:11.000 --> 0:17:14.080
<v Speaker 7>Bloomberg's Jay one Com who covers Walmart for US, and

0:17:14.560 --> 0:17:15.359
<v Speaker 7>that's the story.

0:17:15.480 --> 0:17:16.560
<v Speaker 5>But what's behind it?

0:17:16.840 --> 0:17:20.080
<v Speaker 7>What's Walmart been doing with its digital presence?

0:17:21.480 --> 0:17:24.520
<v Speaker 12>Yeah, so e commerce has been a really important business

0:17:24.720 --> 0:17:28.040
<v Speaker 12>for Walmart. It's you know, definitely one of the factors

0:17:28.160 --> 0:17:31.520
<v Speaker 12>of growth. And what they've been doing is, you know,

0:17:31.680 --> 0:17:36.639
<v Speaker 12>really adding capabilities like delivering orders super early in the morning.

0:17:37.280 --> 0:17:41.639
<v Speaker 12>They're also working to deliver their items faster so you know,

0:17:41.720 --> 0:17:46.000
<v Speaker 12>the same day, you know, or in a couple of hours.

0:17:46.960 --> 0:17:48.600
<v Speaker 8>They're also improving what.

0:17:49.080 --> 0:17:52.080
<v Speaker 12>The company calls a perfect order, which refers to different

0:17:52.160 --> 0:17:57.480
<v Speaker 12>metrics like you know, when orders arrive or how complete

0:17:57.520 --> 0:18:01.840
<v Speaker 12>the orders are, and they've been working on improving all

0:18:01.880 --> 0:18:06.640
<v Speaker 12>of those things while cutting down costs associated with delivery.

0:18:07.480 --> 0:18:09.320
<v Speaker 6>The numbers are phenomenal.

0:18:09.640 --> 0:18:12.720
<v Speaker 4>And when you're looking at what four billion items in

0:18:12.800 --> 0:18:16.200
<v Speaker 4>the last twelve months delivered by in the same day

0:18:16.600 --> 0:18:21.359
<v Speaker 4>or next day, that's comparable to Amazon. What's also comparable

0:18:21.440 --> 0:18:23.520
<v Speaker 4>to Amazon is some of the teething problems that they

0:18:23.560 --> 0:18:25.680
<v Speaker 4>have back in the day when they started having third

0:18:25.720 --> 0:18:28.119
<v Speaker 4>party sellers. Look, I was just sat down in makeup

0:18:28.200 --> 0:18:30.360
<v Speaker 4>and make a part of saying, look, have you seen

0:18:30.440 --> 0:18:33.040
<v Speaker 4>that there's like some fake handbags being sold on Walmart?

0:18:33.119 --> 0:18:33.720
<v Speaker 6>Now, I had an.

0:18:33.680 --> 0:18:37.320
<v Speaker 4>Issue with my son's gift arriving during Christmas because it

0:18:37.400 --> 0:18:39.200
<v Speaker 4>was from a third party vendor and that bender didn't

0:18:39.200 --> 0:18:41.000
<v Speaker 4>seem to live up to the expectations.

0:18:41.320 --> 0:18:42.800
<v Speaker 6>What's going on in terms of teething issues.

0:18:44.119 --> 0:18:47.359
<v Speaker 12>So Marketplace has also been one of the factors of

0:18:47.680 --> 0:18:50.800
<v Speaker 12>growth for Walmart, and it's been trying to you know,

0:18:50.920 --> 0:18:54.520
<v Speaker 12>add sellers and increase the number of items that it

0:18:54.600 --> 0:18:58.240
<v Speaker 12>sells on on Marketplace in the US and abroad. And

0:18:58.320 --> 0:19:01.359
<v Speaker 12>a huge benefit of that business is the fact that

0:19:01.480 --> 0:19:04.280
<v Speaker 12>you know, the company can really grow the range of

0:19:04.600 --> 0:19:08.840
<v Speaker 12>items that it selves online and they you know, see

0:19:08.840 --> 0:19:12.280
<v Speaker 12>a lot of opportunities with general merchandise in particular. So

0:19:13.080 --> 0:19:15.520
<v Speaker 12>you know, this morning they talked about items like pets

0:19:15.720 --> 0:19:19.320
<v Speaker 12>and beauty. They're you know, going up in sales by

0:19:19.440 --> 0:19:23.159
<v Speaker 12>more than thirty percent on marketplace, and you know, at

0:19:23.200 --> 0:19:25.359
<v Speaker 12>the same time it is it is a more decent.

0:19:25.160 --> 0:19:28.120
<v Speaker 8>Business compared to selling items in stores.

0:19:28.240 --> 0:19:32.119
<v Speaker 12>And so you know we'll see the different puts in

0:19:32.200 --> 0:19:36.359
<v Speaker 12>takes that they'll you know, test start with that business for.

0:19:36.480 --> 0:19:39.000
<v Speaker 4>Now, and thing's looking very strong. Thank you so much,

0:19:39.119 --> 0:19:50.080
<v Speaker 4>Joy and Kang on All Things warm Up. Welcome back

0:19:50.080 --> 0:19:52.359
<v Speaker 4>to Blue Bag Technology and Karin Hide in New York.

0:19:52.840 --> 0:19:54.440
<v Speaker 5>And I'm id love Low in San Francisco.

0:19:54.640 --> 0:19:56.840
<v Speaker 4>But for now, there's news from Perplexity, the developer of

0:19:56.880 --> 0:19:59.600
<v Speaker 4>an AI based search engine platform. It's creating brand new

0:19:59.640 --> 0:20:02.960
<v Speaker 4>advice board that will include Mikhale Parakin, the former head

0:20:02.960 --> 0:20:06.400
<v Speaker 4>of Microsoft being researched, of course, Rich Minor, Google Advisor,

0:20:06.480 --> 0:20:09.080
<v Speaker 4>Android co founder, and Emil Michael, former.

0:20:08.920 --> 0:20:10.320
<v Speaker 6>Chief business officer over al Uber.

0:20:10.840 --> 0:20:14.920
<v Speaker 4>Here for more on this news is Perplexity CEO Aravin Shunibas.

0:20:15.280 --> 0:20:18.639
<v Speaker 4>So we have this new set of advisors. I'm going

0:20:18.680 --> 0:20:20.960
<v Speaker 4>to start with the obvious. Having your look to the pictures.

0:20:21.440 --> 0:20:24.280
<v Speaker 4>You're four male co founders and you've got three men

0:20:24.560 --> 0:20:26.600
<v Speaker 4>on your advisory board. You are a man of color.

0:20:26.600 --> 0:20:29.800
<v Speaker 4>I don't need you to preach to the converted. Whereas

0:20:29.920 --> 0:20:31.120
<v Speaker 4>the women, where's a diversity.

0:20:31.760 --> 0:20:35.399
<v Speaker 13>So one of our board directors Cacile Hem from IVP,

0:20:35.600 --> 0:20:38.560
<v Speaker 13>she's a woman. We also have another board observer and

0:20:39.240 --> 0:20:43.639
<v Speaker 13>board 'ski from Anya who's also a woman. And Susan Wojitski, farmer,

0:20:43.800 --> 0:20:47.280
<v Speaker 13>YouTube CEOs and investor in US and she's also very

0:20:47.480 --> 0:20:50.040
<v Speaker 13>helpful in advice. So we have a lot of people

0:20:50.560 --> 0:20:54.719
<v Speaker 13>from many different diverse backgrounds helping us right now.

0:20:55.000 --> 0:20:59.480
<v Speaker 4>Okay, so one female board member, one observer, one investor

0:20:59.520 --> 0:21:01.320
<v Speaker 4>that you name. That doesn't feel like a lot, but

0:21:01.440 --> 0:21:05.120
<v Speaker 4>I get it. You feel this diversity enough. Many would

0:21:05.160 --> 0:21:07.680
<v Speaker 4>quibble with that, but let's talk about what these three

0:21:07.800 --> 0:21:12.560
<v Speaker 4>people bring from a across the board, across experience.

0:21:12.800 --> 0:21:14.440
<v Speaker 6>What is it that you need right now in terms

0:21:14.480 --> 0:21:14.960
<v Speaker 6>of advice.

0:21:15.520 --> 0:21:19.000
<v Speaker 13>Yeah, So as a startup, we've been fortunate to scale

0:21:19.040 --> 0:21:20.800
<v Speaker 13>up so much in such a short period of time.

0:21:21.400 --> 0:21:23.800
<v Speaker 13>The next step for us is to really think hard

0:21:23.840 --> 0:21:27.040
<v Speaker 13>about strategy, both in terms of search, how to build

0:21:27.040 --> 0:21:29.320
<v Speaker 13>our own index and how to like scale it up

0:21:29.359 --> 0:21:32.240
<v Speaker 13>to like even more users, and in terms of how

0:21:32.440 --> 0:21:36.280
<v Speaker 13>our mobile and distribution strategy. It was right, So search

0:21:36.400 --> 0:21:39.240
<v Speaker 13>is all about distribution. They all say soon their purchases

0:21:39.280 --> 0:21:42.919
<v Speaker 13>CEO Google because he really cracked the distribution code to Chrome.

0:21:44.040 --> 0:21:46.640
<v Speaker 13>So we are working with Email who is the farmer

0:21:46.720 --> 0:21:49.639
<v Speaker 13>business officer of Uber, who is so aggressive on growth

0:21:49.680 --> 0:21:52.040
<v Speaker 13>in terms of getting such a large user base, So

0:21:52.240 --> 0:21:54.800
<v Speaker 13>we need to think have similar ideas here.

0:21:55.680 --> 0:21:57.600
<v Speaker 6>And in terms of mobile, I would say it was

0:21:57.640 --> 0:21:58.200
<v Speaker 6>too aggressive.

0:21:58.960 --> 0:22:01.040
<v Speaker 14>Yeah, we'll try to tone it down, sure, but.

0:22:02.800 --> 0:22:06.439
<v Speaker 13>Look, startups have to be aggressive in terms of competing

0:22:06.480 --> 0:22:09.720
<v Speaker 13>against incumbents who already have like billion users or Opening

0:22:09.840 --> 0:22:11.160
<v Speaker 13>I has one hundred million users.

0:22:11.240 --> 0:22:13.240
<v Speaker 14>We don't have that today, so we have to be

0:22:13.560 --> 0:22:14.840
<v Speaker 14>it's on us to do that.

0:22:15.480 --> 0:22:19.160
<v Speaker 13>And it requires a good mobile strategy to a great

0:22:19.240 --> 0:22:22.199
<v Speaker 13>mobile experience, so rich from Android it would be very

0:22:22.240 --> 0:22:25.119
<v Speaker 13>helpful there. And of course the core thing is search,

0:22:25.440 --> 0:22:28.520
<v Speaker 13>and no one better than Mikail who used to head bing.

0:22:29.119 --> 0:22:33.240
<v Speaker 13>He rolled out being chat co pilot and was previously

0:22:33.800 --> 0:22:36.520
<v Speaker 13>doing all the search infrastructure for yandex. So he's going

0:22:36.600 --> 0:22:38.520
<v Speaker 13>to advise us on building a lot of in house

0:22:38.560 --> 0:22:39.479
<v Speaker 13>infrastructure for us.

0:22:40.680 --> 0:22:41.720
<v Speaker 5>Aravin. Thanks.

0:22:41.800 --> 0:22:44.040
<v Speaker 7>Coming back on the program, I've got to ask you

0:22:44.119 --> 0:22:49.040
<v Speaker 7>about Google Io and the real emphasis frankly that Google

0:22:49.160 --> 0:22:53.119
<v Speaker 7>put on integration of AI into search specifically, it's like this.

0:22:53.240 --> 0:22:54.760
<v Speaker 5>Idea of AI overviews.

0:22:54.880 --> 0:22:57.440
<v Speaker 7>Right, you know, you search for something, it gives you

0:22:58.200 --> 0:23:01.280
<v Speaker 7>a text answer as opposed to link. A lot of

0:23:01.320 --> 0:23:05.240
<v Speaker 7>people want to know what is Aravin Shinabas's reaction to

0:23:05.359 --> 0:23:07.200
<v Speaker 7>what you saw out a Google IO.

0:23:07.960 --> 0:23:10.120
<v Speaker 13>That's the same reaction to what I saw last year

0:23:10.320 --> 0:23:14.000
<v Speaker 13>when they called it Search Generative Experience. It's just the

0:23:14.080 --> 0:23:16.480
<v Speaker 13>exact same thing called it is a different name. There's

0:23:16.520 --> 0:23:20.200
<v Speaker 13>literally no change to it. And sure it's being rolled

0:23:20.240 --> 0:23:22.159
<v Speaker 13>out to more people, but it's not going to be

0:23:22.240 --> 0:23:22.720
<v Speaker 13>rolled out for.

0:23:22.760 --> 0:23:24.480
<v Speaker 14>Every single query you type on Google.

0:23:25.000 --> 0:23:28.280
<v Speaker 13>And the most important thing when someone uses a product

0:23:28.400 --> 0:23:29.480
<v Speaker 13>is they should know what's.

0:23:29.320 --> 0:23:29.879
<v Speaker 14>Going to happen.

0:23:30.760 --> 0:23:34.480
<v Speaker 13>When people go to Google, they hate the latency being bad.

0:23:35.000 --> 0:23:37.680
<v Speaker 13>They expect instant and the links to render. So the

0:23:37.760 --> 0:23:41.440
<v Speaker 13>moment you start making people wonder what's going to happen,

0:23:41.480 --> 0:23:43.399
<v Speaker 13>whether that's going to be a streaming of tokens for

0:23:43.480 --> 0:23:45.200
<v Speaker 13>an answer, or is this going to be links, or

0:23:45.200 --> 0:23:46.760
<v Speaker 13>whether it's going to be ads, or whether it's going

0:23:46.840 --> 0:23:50.280
<v Speaker 13>to be some other panels and a UI that's so

0:23:50.440 --> 0:23:53.800
<v Speaker 13>cluttered with all these elements at one face versus a

0:23:53.920 --> 0:23:57.000
<v Speaker 13>single UI just focus for a question answering. That's what

0:23:57.400 --> 0:24:00.560
<v Speaker 13>users are going to decide between perplexity and Google AI overviews.

0:24:00.600 --> 0:24:03.680
<v Speaker 13>And I think like users like simple, minimum, clean products,

0:24:03.760 --> 0:24:06.520
<v Speaker 13>so we are pretty confident in our own direction.

0:24:08.080 --> 0:24:10.840
<v Speaker 7>Aravin, Do you have any information or even just sense

0:24:10.960 --> 0:24:15.760
<v Speaker 7>that this was Google responding directly to perplexity, pulsa and

0:24:16.520 --> 0:24:20.200
<v Speaker 7>possible right? And how do you plan to respond yourself?

0:24:20.760 --> 0:24:24.480
<v Speaker 13>But being a better product by actually working on categories

0:24:24.560 --> 0:24:27.920
<v Speaker 13>of searches that they're definitely going to be not incentivized to,

0:24:28.280 --> 0:24:30.800
<v Speaker 13>for example, shopping. If it's still like I'm on the

0:24:30.920 --> 0:24:34.320
<v Speaker 13>SGE experiment already, and when I still type on shoes,

0:24:34.359 --> 0:24:36.280
<v Speaker 13>I don't get any of the AI overviews. I just

0:24:36.359 --> 0:24:39.040
<v Speaker 13>get all the Google Shopping clutter UI, so I still

0:24:39.040 --> 0:24:42.479
<v Speaker 13>get ads. So there are like query categories, commercially intended

0:24:42.560 --> 0:24:48.160
<v Speaker 13>query categories insurance, travel, shopping, or like education, the universities

0:24:48.680 --> 0:24:53.280
<v Speaker 13>from different fution programs, taxes, all these different categories where

0:24:53.320 --> 0:24:55.360
<v Speaker 13>all these advertisers are screaming.

0:24:54.960 --> 0:24:56.520
<v Speaker 14>At you to click on them.

0:24:57.320 --> 0:24:59.920
<v Speaker 13>There's just no incentive for them to put an AI

0:25:00.080 --> 0:25:02.560
<v Speaker 13>overview for those querries and like lose their revenue share.

0:25:03.080 --> 0:25:06.440
<v Speaker 4>What's interesting though, is you actually are built in some ways.

0:25:06.480 --> 0:25:11.080
<v Speaker 4>You use claw three, you also use open aiyes underlying

0:25:11.119 --> 0:25:13.480
<v Speaker 4>large language model. And there's rumors that open aie got

0:25:13.560 --> 0:25:15.840
<v Speaker 4>to come out with some sort of search. That worry

0:25:15.880 --> 0:25:16.560
<v Speaker 4>a little bit more.

0:25:17.240 --> 0:25:18.960
<v Speaker 14>Not really though.

0:25:19.000 --> 0:25:21.640
<v Speaker 13>Their strategy is cleaner than what Google is doing. They're

0:25:21.640 --> 0:25:24.280
<v Speaker 13>not actually just changing chat GPT to put in search.

0:25:24.680 --> 0:25:27.679
<v Speaker 13>They're building out a separate product. But by building out

0:25:27.680 --> 0:25:30.639
<v Speaker 13>a separate product, you're competing for users from you know,

0:25:30.920 --> 0:25:33.320
<v Speaker 13>in the same way as like Google rolling out Gemini

0:25:33.480 --> 0:25:35.879
<v Speaker 13>or Bard. You're not actually taking advantage of the existing

0:25:35.960 --> 0:25:41.200
<v Speaker 13>user base. And we are confident that like our existing

0:25:41.320 --> 0:25:44.320
<v Speaker 13>work on using many models and many indexes and all

0:25:44.359 --> 0:25:46.680
<v Speaker 13>the orchestration that we do will still keep us a

0:25:46.760 --> 0:25:49.800
<v Speaker 13>superior product. But it's a good competition, Like we're definitely

0:25:49.840 --> 0:25:52.360
<v Speaker 13>going to watch what they're going to release and make

0:25:52.400 --> 0:25:54.480
<v Speaker 13>sure we execute even faster than what we're doing.

0:25:54.960 --> 0:25:59.600
<v Speaker 4>It's competition for talent, it is competition for dollars because

0:25:59.640 --> 0:26:01.879
<v Speaker 4>this is not a cheap process to be answering all

0:26:01.960 --> 0:26:04.000
<v Speaker 4>our questions, are you fundraising again?

0:26:04.040 --> 0:26:06.560
<v Speaker 6>As rumors that you are are there rumors?

0:26:06.920 --> 0:26:07.720
<v Speaker 14>I mean, I don't know.

0:26:07.960 --> 0:26:11.119
<v Speaker 13>Look, all I'll say is that we are trying to

0:26:11.280 --> 0:26:14.680
<v Speaker 13>be as efficient as possible and not going and raising

0:26:14.760 --> 0:26:18.119
<v Speaker 13>like a billion dollar round or something like that. I

0:26:18.200 --> 0:26:20.719
<v Speaker 13>would say, yes, I agree with you, this is going

0:26:20.800 --> 0:26:23.959
<v Speaker 13>to be expensive. We would have to fundraise again at

0:26:24.000 --> 0:26:26.920
<v Speaker 13>some point. But our goal is to get our revenue

0:26:27.000 --> 0:26:29.800
<v Speaker 13>in good shape so that as we scale in terms

0:26:29.800 --> 0:26:32.080
<v Speaker 13>of a number of people, that's a good revenue per

0:26:32.160 --> 0:26:34.560
<v Speaker 13>employee and we're a healthy business too.

0:26:36.400 --> 0:26:40.480
<v Speaker 7>Aravins, Welcome to Bloomberg Technology. I'm glad that you're in

0:26:40.520 --> 0:26:43.680
<v Speaker 7>the studio with us today. When we say that you're

0:26:43.680 --> 0:26:45.280
<v Speaker 7>coming on the show, we get a lot of questions

0:26:45.320 --> 0:26:49.280
<v Speaker 7>from the audience. Unsurprisingly, there are many perplexity users out

0:26:49.280 --> 0:26:51.639
<v Speaker 7>there right. What always strikes me is how simple the

0:26:51.720 --> 0:26:53.920
<v Speaker 7>questions are. They just want to know from you, what

0:26:54.040 --> 0:26:57.040
<v Speaker 7>your daily active user metrics are, the latest on the

0:26:57.240 --> 0:26:59.919
<v Speaker 7>user base geographically where these people are.

0:27:01.000 --> 0:27:03.600
<v Speaker 13>Yeah, so we actually care more about the number of

0:27:03.720 --> 0:27:06.399
<v Speaker 13>queries we get every single day. That's a better metric

0:27:06.440 --> 0:27:08.679
<v Speaker 13>for us because that's more directly tied to expanding our

0:27:08.720 --> 0:27:11.639
<v Speaker 13>index and getting our models in better shape. So we

0:27:11.680 --> 0:27:13.879
<v Speaker 13>are pretty close to ten million daily queries of this

0:27:14.000 --> 0:27:17.720
<v Speaker 13>fine somewhere in the late single digits of millions, So

0:27:17.880 --> 0:27:20.439
<v Speaker 13>that's actually a really good progress from where we started.

0:27:20.800 --> 0:27:23.240
<v Speaker 13>Every single month we are basically serving close to like

0:27:23.240 --> 0:27:27.320
<v Speaker 13>one hundred and ninety million queries, and this is only expanding.

0:27:27.560 --> 0:27:30.600
<v Speaker 13>We started like one and a half years ago and

0:27:32.440 --> 0:27:35.199
<v Speaker 13>one looking forward like we can definitely for example, bing

0:27:35.320 --> 0:27:39.360
<v Speaker 13>chat served like a billion queries in twenty twenty three,

0:27:39.640 --> 0:27:42.360
<v Speaker 13>and we sell five hundred million this year itself. We've

0:27:42.400 --> 0:27:44.840
<v Speaker 13>already surpassed the entirety of twenty twenty three in the

0:27:44.880 --> 0:27:48.080
<v Speaker 13>first three months of four months. So looking forward, if

0:27:48.119 --> 0:27:51.119
<v Speaker 13>we keep sustaining these growth rates, we're headed for a

0:27:51.160 --> 0:27:51.760
<v Speaker 13>great future.

0:27:53.200 --> 0:27:55.320
<v Speaker 7>Aravin I wrote on Monday in The Tech Daily that

0:27:55.480 --> 0:28:01.600
<v Speaker 7>consolidations coming among AI startups essentially, have you held talks

0:28:01.720 --> 0:28:05.280
<v Speaker 7>with a bigger technology company about the potential of being

0:28:05.359 --> 0:28:09.280
<v Speaker 7>acquired or do you see yourselves as an acquirer of

0:28:09.400 --> 0:28:11.439
<v Speaker 7>some of the other smaller names or teams that are

0:28:11.480 --> 0:28:11.840
<v Speaker 7>out there.

0:28:12.560 --> 0:28:15.440
<v Speaker 13>Yeah, so I agree with you on the broader point

0:28:15.520 --> 0:28:18.080
<v Speaker 13>of consolidation. It's already happening. Like a lot of us

0:28:18.119 --> 0:28:20.280
<v Speaker 13>startups that used to be there no longer there, and

0:28:20.440 --> 0:28:23.399
<v Speaker 13>like the fewer ones that exist continue to keep getting

0:28:23.440 --> 0:28:25.879
<v Speaker 13>more and more powerful in terms of user based or

0:28:27.320 --> 0:28:31.400
<v Speaker 13>market share and APIs. So we've had interests in the past,

0:28:31.440 --> 0:28:34.000
<v Speaker 13>I'm not going to deny that. And we've also looked

0:28:34.000 --> 0:28:37.920
<v Speaker 13>into acquiring a few smaller startups, and in fact we've

0:28:37.960 --> 0:28:41.080
<v Speaker 13>made one active hire already, like a company called spell Wise,

0:28:41.520 --> 0:28:45.360
<v Speaker 13>which helped revamp our mobile team. And we're always looking

0:28:45.440 --> 0:28:48.320
<v Speaker 13>for like new hungry founders who are like you know,

0:28:48.840 --> 0:28:52.800
<v Speaker 13>even earlier stage than we are, faster at executing than

0:28:52.840 --> 0:28:55.960
<v Speaker 13>like typical engineers from big tech, and we're always excited

0:28:56.000 --> 0:28:57.440
<v Speaker 13>about like talking to more people like that.

0:28:58.600 --> 0:29:01.680
<v Speaker 7>An arab intion Abatis pop CEO, thank you for coming

0:29:01.720 --> 0:29:05.000
<v Speaker 7>back on the show in Bluebot Technology and joining.

0:29:04.800 --> 0:29:06.400
<v Speaker 5>Us at the New York studio. Appreciate it.

0:29:06.760 --> 0:29:10.240
<v Speaker 7>Sticking with AI, the Senates by Partners in AI working Group,

0:29:10.280 --> 0:29:13.520
<v Speaker 7>which is led by Majority leader Chuck Schumer, finally released

0:29:13.560 --> 0:29:18.720
<v Speaker 7>its highly anticipated roadmap yesterday to provide guidance on congressional

0:29:18.840 --> 0:29:22.880
<v Speaker 7>efforts to harness AI's benefits but mitigate potential risks. The

0:29:22.920 --> 0:29:27.800
<v Speaker 7>blueprint recommends thirty two billion dollars in annual government spending

0:29:28.160 --> 0:29:31.720
<v Speaker 7>to support non defense AI research and development efforts, in

0:29:31.800 --> 0:29:34.600
<v Speaker 7>part to stay ahead of rivals like China.

0:29:34.880 --> 0:29:38.440
<v Speaker 4>Caroline long time coming, a fur bit of criticism from

0:29:38.520 --> 0:29:41.040
<v Speaker 4>some lobby years over there. But now we're going to

0:29:41.080 --> 0:29:44.000
<v Speaker 4>take the conversation forward and actually maybe divert into the

0:29:44.040 --> 0:29:44.920
<v Speaker 4>world of web three.

0:29:44.800 --> 0:29:45.240
<v Speaker 6>For a moment.

0:29:45.880 --> 0:29:48.120
<v Speaker 4>Segey Nazarrov's gonna be with US co found and Chainlink

0:29:48.200 --> 0:29:52.280
<v Speaker 4>to discuss the trend in asset tokenizations from New York,

0:29:53.000 --> 0:29:55.800
<v Speaker 4>where we're also looking at meta shares, talking of all

0:29:55.880 --> 0:29:59.040
<v Speaker 4>things social media. Look, we're currently under pressure just by

0:29:59.080 --> 0:30:01.720
<v Speaker 4>one point four percent, and the day interesting risk off

0:30:01.760 --> 0:30:04.040
<v Speaker 4>tone given that the rest of the market is pushing

0:30:04.200 --> 0:30:08.200
<v Speaker 4>higher measure being suspected by the EU of hooking kids

0:30:08.480 --> 0:30:11.160
<v Speaker 4>on Facebook and Instagram. Look, this is yet another investigation,

0:30:11.240 --> 0:30:13.760
<v Speaker 4>this time coming under the Digital Services Act that could

0:30:13.880 --> 0:30:16.680
<v Speaker 4>lead to some finds from New York. For San Francisco,

0:30:16.720 --> 0:30:17.800
<v Speaker 4>this is a Bloomberg technology.

0:30:32.680 --> 0:30:36.240
<v Speaker 7>Let's talk crypto an assets ognization with chain Link, a

0:30:36.320 --> 0:30:39.760
<v Speaker 7>company that connects blockchains and brings real world data on

0:30:40.000 --> 0:30:42.760
<v Speaker 7>chain and which now works with the likes of BNP,

0:30:43.280 --> 0:30:45.960
<v Speaker 7>Bank of America and Citybanking. Just in the last few

0:30:46.040 --> 0:30:49.480
<v Speaker 7>moments has had some pretty significant breaking news. Sergey Nazarov

0:30:49.760 --> 0:30:52.600
<v Speaker 7>is the co founder of chain Link and joins US

0:30:52.720 --> 0:30:54.360
<v Speaker 7>now let's start with that news.

0:30:54.480 --> 0:30:55.200
<v Speaker 5>DTCC.

0:30:55.720 --> 0:30:59.240
<v Speaker 7>You have a new arrangement with them, a new relationship,

0:30:59.320 --> 0:31:00.000
<v Speaker 7>explain it to us.

0:31:00.040 --> 0:31:03.240
<v Speaker 5>Yes, yeah, sure.

0:31:03.360 --> 0:31:05.440
<v Speaker 15>So we've been working with them for some time now

0:31:05.640 --> 0:31:09.240
<v Speaker 15>on how to create high quality on chain digital assets

0:31:09.800 --> 0:31:13.080
<v Speaker 15>that are driven by data. And so the report that's

0:31:13.160 --> 0:31:16.680
<v Speaker 15>just come out today shows how data can flow into

0:31:16.800 --> 0:31:20.840
<v Speaker 15>assets on chain and prove critical things about the assets

0:31:21.400 --> 0:31:24.320
<v Speaker 15>on an ongoing basis, which is very different from how

0:31:24.400 --> 0:31:27.239
<v Speaker 15>the current financial system works, where the ownership of an

0:31:27.240 --> 0:31:31.520
<v Speaker 15>asset doesn't give you access to data that becomes your responsibility.

0:31:32.120 --> 0:31:35.200
<v Speaker 15>So the BTCC report was around something called smart now

0:31:36.040 --> 0:31:38.600
<v Speaker 15>where chain link was used to put critical pieces of

0:31:38.680 --> 0:31:44.000
<v Speaker 15>data on chain around funds tokenized funds, and the collaboration

0:31:44.160 --> 0:31:48.560
<v Speaker 15>included big firms like JP Morgan, Franklin, Templeton, BNYML and

0:31:48.680 --> 0:31:49.560
<v Speaker 15>State Street.

0:31:49.360 --> 0:31:51.200
<v Speaker 5>And others were part of the pilot with them.

0:31:51.880 --> 0:31:54.160
<v Speaker 15>And I think what this shows is that real world

0:31:54.200 --> 0:31:59.640
<v Speaker 15>asset to organization is taking a more mainstream institutional interest level,

0:32:00.320 --> 0:32:03.880
<v Speaker 15>especially the real world assets that are backed by data,

0:32:04.480 --> 0:32:08.200
<v Speaker 15>because the big difference here is that the asset can

0:32:08.280 --> 0:32:13.280
<v Speaker 15>have critical information about it continually updated, and the holder

0:32:13.320 --> 0:32:15.800
<v Speaker 15>of the asset or the buyer of the asset doesn't

0:32:15.800 --> 0:32:17.800
<v Speaker 15>have to search for that data and they don't need

0:32:17.840 --> 0:32:20.880
<v Speaker 15>to have any special expertise. And also the data can

0:32:20.960 --> 0:32:23.280
<v Speaker 15>move across chains. That was the other big part of

0:32:23.360 --> 0:32:26.760
<v Speaker 15>the collaboration is how does the data and the asset

0:32:26.840 --> 0:32:30.280
<v Speaker 15>end up moving across chains. But this is just some

0:32:30.440 --> 0:32:32.880
<v Speaker 15>of our initial work together, and I'm hopeful there will

0:32:32.920 --> 0:32:36.440
<v Speaker 15>be more with them and other large csds.

0:32:36.920 --> 0:32:39.360
<v Speaker 4>It's interesting, of course, because there are many vocal critics

0:32:39.480 --> 0:32:45.560
<v Speaker 4>of some of the actual coins and investment opportunities when

0:32:45.560 --> 0:32:48.840
<v Speaker 4>it comes to crypto, but they've always all together now said,

0:32:49.280 --> 0:32:52.960
<v Speaker 4>but we like the underlying technology. We like blockchain CEO

0:32:53.120 --> 0:32:56.520
<v Speaker 4>Jamie Diamond for example of JP Morgan. How does this

0:32:56.680 --> 0:32:59.960
<v Speaker 4>disintermediate longer term financial institute?

0:33:02.720 --> 0:33:05.840
<v Speaker 15>I think financial institutions have a fundamental role to play

0:33:06.000 --> 0:33:09.440
<v Speaker 15>in terms of compliance and in terms of allowing users

0:33:10.000 --> 0:33:13.840
<v Speaker 15>to use digital asset products in a compliant way, in

0:33:13.960 --> 0:33:17.280
<v Speaker 15>relation to their identity, in relation to ways that regulators

0:33:17.720 --> 0:33:22.560
<v Speaker 15>and csds and central banks find acceptable. So I don't

0:33:22.600 --> 0:33:25.280
<v Speaker 15>think banks are going away. I don't think things like

0:33:25.360 --> 0:33:28.240
<v Speaker 15>the DTCC are going away. I don't think central banks

0:33:28.240 --> 0:33:30.840
<v Speaker 15>are going away. I think they're going to use the

0:33:30.920 --> 0:33:34.040
<v Speaker 15>technology I think there will actually be the biggest net

0:33:34.240 --> 0:33:37.480
<v Speaker 15>users of blockchain technology, and they're going to generate the

0:33:37.520 --> 0:33:41.320
<v Speaker 15>most assets, they're going to generate the most payments, and importantly,

0:33:41.400 --> 0:33:43.480
<v Speaker 15>they're going to do it in a way that complies

0:33:43.560 --> 0:33:46.520
<v Speaker 15>with legal requirements. We're kind of at a place in

0:33:46.560 --> 0:33:48.360
<v Speaker 15>the crypto industry where if you're a two and a

0:33:48.400 --> 0:33:51.160
<v Speaker 15>half trillion maybe you can go to as high as

0:33:51.240 --> 0:33:54.360
<v Speaker 15>ten trillion off of hedge funds and prop traders in

0:33:54.400 --> 0:33:55.400
<v Speaker 15>the retail community.

0:33:55.920 --> 0:33:57.320
<v Speaker 5>But in my opinion, if you want to go.

0:33:57.360 --> 0:34:01.160
<v Speaker 15>To the hundreds of trillions that will be the blockchain format,

0:34:01.640 --> 0:34:04.800
<v Speaker 15>you need the global c as these the central banks,

0:34:05.040 --> 0:34:08.960
<v Speaker 15>the big commercial banks, to basically adopt the technology for

0:34:09.239 --> 0:34:12.560
<v Speaker 15>its value. And that's what this collaboration with the DTCC

0:34:12.680 --> 0:34:16.319
<v Speaker 15>has been about, is providing that technical value in ways

0:34:16.400 --> 0:34:20.880
<v Speaker 15>that benefits both the traditional financial system and consumers and

0:34:21.080 --> 0:34:23.120
<v Speaker 15>the Web three blockchain community.

0:34:24.000 --> 0:34:26.400
<v Speaker 4>This is about, you, say, accelo, to the investment fund

0:34:26.600 --> 0:34:30.960
<v Speaker 4>tokenization movement, which particular real world assets we're ultimately going

0:34:31.000 --> 0:34:34.680
<v Speaker 4>to see being put forward on the blockchain. First, it's

0:34:34.680 --> 0:34:37.400
<v Speaker 4>already being done, already being experimented with. But for the

0:34:37.560 --> 0:34:40.080
<v Speaker 4>audience out there who also happen to be training equities

0:34:40.160 --> 0:34:43.360
<v Speaker 4>or in a commodity space, maybe they're upond syndicate desk.

0:34:43.880 --> 0:34:46.040
<v Speaker 4>Where are they going to see their assets at HIT first?

0:34:49.480 --> 0:34:52.400
<v Speaker 15>So it's actually going to vary by institution and what

0:34:52.560 --> 0:34:56.320
<v Speaker 15>institutions are good at tokenizing or good at turning into securities.

0:34:56.680 --> 0:34:58.200
<v Speaker 5>There are basically two categories.

0:34:58.320 --> 0:35:00.839
<v Speaker 15>There are the core financial pro products of the current

0:35:00.880 --> 0:35:06.200
<v Speaker 15>financial system, treasuries, money market funds, bonds. These are being

0:35:06.280 --> 0:35:09.680
<v Speaker 15>tokenized by bigger institutions, and the benefits of tokenizing them

0:35:09.760 --> 0:35:13.520
<v Speaker 15>are around collateral management, and they're around diversifying your on

0:35:13.760 --> 0:35:17.239
<v Speaker 15>chain holdings so that you're not just holding cryptocurrencies on chain,

0:35:17.280 --> 0:35:20.560
<v Speaker 15>you're holding treasuries on chain. Then you have what are

0:35:20.640 --> 0:35:23.960
<v Speaker 15>called assets at the edges. These are assets that have

0:35:24.080 --> 0:35:29.120
<v Speaker 15>traditionally not been tokenized. So these are assets like carbon credits,

0:35:29.560 --> 0:35:33.800
<v Speaker 15>real estate, private equity. These are the assets that have

0:35:34.000 --> 0:35:37.719
<v Speaker 15>not been securitized that are now being securitized in the

0:35:37.840 --> 0:35:40.960
<v Speaker 15>form of a tokenized product. These are the things that

0:35:41.080 --> 0:35:44.120
<v Speaker 15>people have more press releases about. They hear more about

0:35:44.520 --> 0:35:48.280
<v Speaker 15>because they are more exciting kind of net new product.

0:35:49.000 --> 0:35:51.840
<v Speaker 15>And I think that there is tens of trillions of

0:35:51.880 --> 0:35:55.280
<v Speaker 15>dollars in value just in the net new product category.

0:35:55.600 --> 0:35:58.319
<v Speaker 15>But I am actually seeing both of them happening at

0:35:58.360 --> 0:36:01.279
<v Speaker 15>the same time. I'm seeing the toe organization of treasuries

0:36:01.680 --> 0:36:06.040
<v Speaker 15>and money markets and more foundational financial products and very

0:36:06.320 --> 0:36:09.239
<v Speaker 15>foundational parts of the financial system. And then I'm also

0:36:09.280 --> 0:36:14.600
<v Speaker 15>seeing the more advanced kind of securitization two point zero

0:36:14.680 --> 0:36:18.359
<v Speaker 15>waves of tokenized products. The ones that come to mind

0:36:18.400 --> 0:36:19.920
<v Speaker 15>are private equity, real.

0:36:19.840 --> 0:36:23.840
<v Speaker 5>Estate, and carbon credits. So again, Nazrov co founder Chainling,

0:36:23.920 --> 0:36:25.279
<v Speaker 5>great to have you on the show. Thank you.

0:36:33.840 --> 0:36:33.880
<v Speaker 2>So.

0:36:34.040 --> 0:36:36.440
<v Speaker 4>Service Now is beefing up, It's increasing its workforce, its

0:36:36.480 --> 0:36:38.040
<v Speaker 4>expanding in enterprise software.

0:36:38.400 --> 0:36:42.040
<v Speaker 6>How pretty simple. The hiring from a larger.

0:36:41.800 --> 0:36:44.880
<v Speaker 4>Competitor salesforce me to Brodie Ford is here with a

0:36:45.040 --> 0:36:47.200
<v Speaker 4>very well read story today because everyone loves to hear

0:36:47.280 --> 0:36:50.200
<v Speaker 4>about people pinching people from workplaces, and this is.

0:36:50.200 --> 0:36:50.640
<v Speaker 6>What's going on.

0:36:51.080 --> 0:36:54.880
<v Speaker 16>We all love a rivalry, The tech industry loves a rivalry,

0:36:54.960 --> 0:36:57.319
<v Speaker 16>and we're seeing one here. Service Now is a very

0:36:57.440 --> 0:37:01.640
<v Speaker 16>fast growing software company. A lot of other software companies

0:37:01.719 --> 0:37:05.239
<v Speaker 16>have seen this real almost oppressive environment. They've managed to

0:37:05.320 --> 0:37:08.759
<v Speaker 16>keep growing quick. They're expanding into new product categories. Where

0:37:08.800 --> 0:37:11.520
<v Speaker 16>does that leave them? Edging up? Into Salesforce, right, and

0:37:11.600 --> 0:37:13.600
<v Speaker 16>so what do you do? You poach a couple hundred people.

0:37:14.000 --> 0:37:16.120
<v Speaker 16>And that's what we're seeing here, right. They have hired

0:37:16.200 --> 0:37:20.560
<v Speaker 16>pretty aggressively from Salesforce, their CEOs taking some potshots at them.

0:37:21.120 --> 0:37:23.600
<v Speaker 16>I mean they even stopped using Slack once Slack got

0:37:23.680 --> 0:37:26.120
<v Speaker 16>bought by Salesforce. So we have kind of one of

0:37:26.160 --> 0:37:28.200
<v Speaker 16>these fun little rivalries bubbling up here.

0:37:28.239 --> 0:37:28.400
<v Speaker 8>You know.

0:37:30.040 --> 0:37:33.239
<v Speaker 5>Emily Changs can be speaking to Benioff later today. I'm

0:37:33.239 --> 0:37:35.160
<v Speaker 5>speaking to Bill McDermott on Monday.

0:37:35.280 --> 0:37:35.480
<v Speaker 14>Yeah.

0:37:35.520 --> 0:37:37.600
<v Speaker 5>I wonder if it come I wonder if it comes up.

0:37:39.560 --> 0:37:40.280
<v Speaker 5>Put that aside.

0:37:40.360 --> 0:37:43.440
<v Speaker 7>Put that aside for a second. Competition is not new

0:37:43.640 --> 0:37:45.800
<v Speaker 7>in this place, this town. Is it salaries?

0:37:46.000 --> 0:37:47.560
<v Speaker 5>Is it stock? How they're doing it?

0:37:48.520 --> 0:37:51.719
<v Speaker 16>Yeah, I would say part of it is that there's

0:37:51.760 --> 0:37:54.000
<v Speaker 16>been disruption at Salesforce, right, I mean they had the

0:37:54.040 --> 0:37:57.000
<v Speaker 16>big layoffs a little over a year ago. A lot

0:37:57.080 --> 0:37:59.520
<v Speaker 16>of it I hear is that salespeople got laid off

0:37:59.600 --> 0:38:02.640
<v Speaker 16>over there. Service Now said hey, we actually need more

0:38:02.680 --> 0:38:04.839
<v Speaker 16>salespeople with your kind of experience or come on over.

0:38:05.320 --> 0:38:07.360
<v Speaker 16>But it's not at the executive level too, right, I

0:38:07.440 --> 0:38:11.279
<v Speaker 16>mean Service Now's new chief marketing officer came from Salesforce,

0:38:11.840 --> 0:38:15.040
<v Speaker 16>so I imagine there are some pretty aggressive offers happening here,

0:38:15.640 --> 0:38:17.800
<v Speaker 16>and it's really across the board. So it's interesting to

0:38:17.880 --> 0:38:20.160
<v Speaker 16>see what this kind of new infusion of talent does

0:38:20.239 --> 0:38:22.799
<v Speaker 16>for them. I mean, they've grown their headcount maybe three

0:38:22.920 --> 0:38:26.279
<v Speaker 16>thousand over the last year, which most companies have cut

0:38:26.360 --> 0:38:28.239
<v Speaker 16>by that amount, so it'll be interesting to see how

0:38:28.280 --> 0:38:29.040
<v Speaker 16>that impacts them.

0:38:29.560 --> 0:38:31.959
<v Speaker 4>I love that Phil Patterson is giving you the quote

0:38:32.000 --> 0:38:35.200
<v Speaker 4>of basically that imitation is the best form of flattery.

0:38:35.280 --> 0:38:37.840
<v Speaker 4>So it's quite flattering, honestly that they happen to aspire

0:38:37.880 --> 0:38:38.680
<v Speaker 4>to be more like us.

0:38:38.880 --> 0:38:41.040
<v Speaker 16>The larger company doesn't usually want to engage with this

0:38:41.160 --> 0:38:43.359
<v Speaker 16>kind of thing because then it validates it, right, So yeah,

0:38:43.360 --> 0:38:45.880
<v Speaker 16>they they kind of poo poo to the competition.

0:38:46.360 --> 0:38:49.680
<v Speaker 4>Oh well, we'll see how they handle some of the questions. Yeah, Emily,

0:38:50.160 --> 0:38:51.920
<v Speaker 4>and from our own end a little bit later, Bridie

0:38:51.920 --> 0:38:55.280
<v Speaker 4>Ford always great writing, great explaining. He love having on Meanwhile,

0:38:55.400 --> 0:38:57.160
<v Speaker 4>that does it for this edition of BlueBag Technology.

0:38:57.239 --> 0:39:00.759
<v Speaker 7>Yet what an addition of BlueBag Technology was check out

0:39:00.800 --> 0:39:03.399
<v Speaker 7>the pod. Lots of chat about the pod all the time,

0:39:03.440 --> 0:39:06.479
<v Speaker 7>you know exactly where to find it. One day left

0:39:06.520 --> 0:39:09.800
<v Speaker 7>in this fantastic week. Keep with us from San Francisco

0:39:09.840 --> 0:39:11.640
<v Speaker 7>and New York. This is Bloomberg Technology,