WEBVTT - Nvidia's Earnings and Apple's DOJ Case

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news from Marhart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline Hyde at Bloomberg's world headquarters in New York and.

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<v Speaker 4>I met Lovelow in San Francisco. This is Bloomberg Technology.

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<v Speaker 5>Coming up full coverage on guess what in video? You

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<v Speaker 5>know it.

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<v Speaker 3>Pushing ahead to that all important earnings after the closing.

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<v Speaker 4>Bell, Plus Apple looks to get its doj antitrust case

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<v Speaker 4>tossed out.

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<v Speaker 5>We'll bring you the details and scale.

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<v Speaker 3>AI excures one billion dollars in funding as its valuation

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<v Speaker 3>nearly doubles to almost fourteen billion. CEO Alexander Wang going

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<v Speaker 3>to be joining us later in the hour, but first

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<v Speaker 3>and let's check in on these markets because there's a

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<v Speaker 3>macro bit of data. We were waiting for the FED

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<v Speaker 3>minutes coming a little bit later in the afternoon, and

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<v Speaker 3>we're basically flat. Ahead of that, we're still digesting some

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<v Speaker 3>really strong earnings that have come from the tech ecosystem.

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<v Speaker 3>We Bracewort and Video brings us and we're up just

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<v Speaker 3>five points on the Nasdaq. But remember new record highs

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<v Speaker 3>after record highs, we're looking at twenty a yield just

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<v Speaker 3>flat ahead of an all important auction. We had seen

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<v Speaker 3>bond selling off, yields rising. Now we managed to go

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<v Speaker 3>back into the green just a moment. Pound I look

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<v Speaker 3>at because inflation, yes, it is cooling, but it is

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<v Speaker 3>not cooling as much.

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<v Speaker 5>As the market wanted to see.

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<v Speaker 3>The pound is higher events as the US dollar, as

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<v Speaker 3>potentially we see the Bank of England not being able

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<v Speaker 3>to cut at the anticipated rate that the market had

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<v Speaker 3>wanted to see. Let's move on and see what's happening

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<v Speaker 3>in the world of crypto, because suddenly, out of nowhere

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<v Speaker 3>we regalvanize ourselves. Potentially the latest spot etf this one

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<v Speaker 3>being an ether an ethereum related one. Thoughts and prayers

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<v Speaker 3>to all those who are the lawyers or the compliance

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<v Speaker 3>folks having to get the data, having to get the

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<v Speaker 3>documents ready. We're currently down by a tenth of a

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<v Speaker 3>percent on ether as we speak, bened What are you watching?

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<v Speaker 4>It has been called the mother of all earnings. It's

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<v Speaker 4>been labeled as the single most important stock on the planet,

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<v Speaker 4>and that when you say AI industry, you are talking

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<v Speaker 4>about in video in video reports earnings after the bell.

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<v Speaker 4>The stakes are incredibly high, and we want to continue

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<v Speaker 4>to see year on year top line growth in excess

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<v Speaker 4>of two hundred percent. I also look at the market

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<v Speaker 4>capitalization of this company. When you think about how high

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<v Speaker 4>the stakes are, it's a lot, right, and so what's

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<v Speaker 4>going to happen? I know a lot of you in

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<v Speaker 4>our bloombog technology audience look at demand signals, You look

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<v Speaker 4>at the commentary from the hyperscalers, you look at all

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<v Speaker 4>the news stories about the AI startups training models, whether

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<v Speaker 4>or not they secured h one hundred clusters, and you

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<v Speaker 4>look at some of the sovereign AI discussion that's happening.

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<v Speaker 4>There is a lot at stake, Carrow. We're very excited

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<v Speaker 4>about it. The expectation, though, is probably that in Vidia

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<v Speaker 4>and Jensen knock it out of the park.

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<v Speaker 3>Yeah, and how often do you get to see two

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<v Speaker 3>hundred percent increases in a quarterly revenue?

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<v Speaker 5>It ain't much.

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<v Speaker 3>Let's talk about Nvidia now reporting earnings after that bell.

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<v Speaker 3>Here's what in Vidia CEO Jenson Wang had to say

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<v Speaker 3>about his outlook for AI just earlier this week with

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<v Speaker 3>you ed.

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<v Speaker 6>We've re engineered and reinvented every layer of computing, from

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<v Speaker 6>the chip to the operating system, to the system servers,

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<v Speaker 6>to the way that these data centers are put together.

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<v Speaker 6>We want to bring this generaltive AI capability to every

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<v Speaker 6>company in the world.

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<v Speaker 5>From the man himself.

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<v Speaker 3>So yeah, the key voice we want to bring on

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<v Speaker 3>right now, Blue meg Intelligence senior analyst Man Deep saying,

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<v Speaker 3>because there is a lot of hope and market valuation

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<v Speaker 3>riding on these set of numbers.

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<v Speaker 7>Yeah, look, I think they probably will guide to twenty

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<v Speaker 7>five billion in data center revenue because that's what everyone

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<v Speaker 7>cares about right now, and it's higher than consensus. So

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<v Speaker 7>you know, the byside bogie here is higher than consensus.

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<v Speaker 7>Anything in line with consense would have a negative knee

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<v Speaker 7>jerk reaction, and they'll do it. The question to me

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<v Speaker 7>is how much of their new black Quall chip is

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<v Speaker 7>used for training and then what are the existing chips

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<v Speaker 7>in terms of you know, the inferencing side of the equation,

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<v Speaker 7>because once you pass through that lens, you will get

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<v Speaker 7>a sense of, you know, is this sustainable in terms

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<v Speaker 7>of triple digit growth? Probably that's not going to happen

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<v Speaker 7>given the comps get tougher in the second half. But

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<v Speaker 7>in terms of sustaining high double digit growth, it comes

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<v Speaker 7>down to whether Nvidia will be a big player in inferencing,

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<v Speaker 7>and last quarter Jensen said they have a forty percent

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<v Speaker 7>share in inferencing. Everyone questions that, so we will be

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<v Speaker 7>looking for update around inferencing because look, Microsoft announced a

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<v Speaker 7>new PC with Qualcomm chip. Intel is probably doing something

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<v Speaker 7>around their own chip. Apple will announce something around on

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<v Speaker 7>device GENII. That's all inferencing. So Nvidia having inferencing share,

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<v Speaker 7>it comes down to do they have a play with

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<v Speaker 7>the hyperscale cloud vendors Amazon, Microsoft and Google using in

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<v Speaker 7>Vidia for inferencing And the answer is they'll probably end

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<v Speaker 7>up using their own chips for inferencing. Why would they

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<v Speaker 7>use in video for inferencing given the SP's you know,

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<v Speaker 7>in video commend expensive.

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<v Speaker 4>Yeah, Monday, I appreciate that answer so much. I've been

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<v Speaker 4>thinking a lot about generations of technology. So all of

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<v Speaker 4>this is built on H one hundred, right, and a

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<v Speaker 4>lot of people worry there's this air pocket where H

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<v Speaker 4>two hundred, the next generation with high bandwidth memory is

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<v Speaker 4>ramping up, and then you're Blackwell later in the year,

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<v Speaker 4>you're an analyst that looks at this company. Are you

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<v Speaker 4>concerned that the end market say, why would I buy

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<v Speaker 4>H one hundred like the next best things coming?

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<v Speaker 1>I'll just wait.

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<v Speaker 7>I mean, there were rumors around that with Amazon yesterday.

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<v Speaker 7>But look right now the market is undersupplied and everyone

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<v Speaker 7>wants to get a hold of whatever they can for

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<v Speaker 7>training their llms. It comes down to who are the

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<v Speaker 7>big LLLM players. And we know that field is consolidating

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<v Speaker 7>a number of them have actually thrown in the towel.

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<v Speaker 7>They're getting acquired by larger you know, hyperscalers, So that

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<v Speaker 7>field is narrowing. The second vector that drives that is

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<v Speaker 7>the size of the model.

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<v Speaker 1>If the size of.

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<v Speaker 7>The model is growing, then you need more a bigger

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<v Speaker 7>cluster and probably H two hundred or a black belt

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<v Speaker 7>series will have more performance. In fact, Google said their

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<v Speaker 7>TPU six is five times faster than their TPU five.

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<v Speaker 7>What does it tell you that, you know, the performance

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<v Speaker 7>increases are there, And if you're a hyperscaler that's buying

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<v Speaker 7>ten billion dollars of Invidia chips, you would want to

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<v Speaker 7>see that higher performance chip as opposed to you know,

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<v Speaker 7>the last generation. So all that is a risk, I

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<v Speaker 7>mean in the end, in Nvidia has a fifty percent

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<v Speaker 7>you know, exposure to hyperscalers and these are very concentrated customers,

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<v Speaker 7>five to six customers making a fifty percent of their

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<v Speaker 7>data center revenue.

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<v Speaker 3>They've still got some dependency on China. China can't have

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<v Speaker 3>the most sophisticated chips. Will we hear anything about exposure there?

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<v Speaker 7>I mean, we know that's going down. It's almost mid

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<v Speaker 7>single digit of their revenue, but that's a market where

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<v Speaker 7>they could have seen an upside. Surprises. Every company in

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<v Speaker 7>China is training their own llms. Again, it comes down

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<v Speaker 7>to training market. How big is the training market and

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<v Speaker 7>how many players are there. I would say, you know,

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<v Speaker 7>the top six llms are based out of United States

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<v Speaker 7>and then the next five are in China. But if

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<v Speaker 7>in Video can't sell their latest chips to the China market,

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<v Speaker 7>that kind of takes some of the upside out at

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<v Speaker 7>least in the near term. And we don't know how

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<v Speaker 7>this geopolitical situation will pan out.

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<v Speaker 4>This is a really big finale to what it has

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<v Speaker 4>been an incredible earning season and Video after Bell and

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<v Speaker 4>Bloomberg Intelligence senior analyst Man keep saying, great setup for

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<v Speaker 4>us coming up on the program. We're going to talk

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<v Speaker 4>about optimism in the crypto industry amid science of Ether

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<v Speaker 4>ETF approval. Look, we've got Jack Mallard's Strike CEO on

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<v Speaker 4>set New York City, Caro. What are you looking at?

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<v Speaker 3>IM just having a kicken eye on what else is

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<v Speaker 3>reporting after the ballad. Snowflake shares actually up about half

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<v Speaker 3>a percentage point, but there has been anxiety that revenue

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<v Speaker 3>growth for this particular software business is expected to slow

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<v Speaker 3>to twenty six percent from forty eight percent last year.

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<v Speaker 3>It says companies look prioritized, of course jenerator AI over

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<v Speaker 3>traditional data warehousing. But where does that competitive landscape evolve

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<v Speaker 3>for Snowflake. We wait to see if revenue can indeed

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<v Speaker 3>hit the seven hundred and eighty six million dollars anticipated.

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<v Speaker 5>This is Bloomberg Technology.

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<v Speaker 4>Okay, So I'm looking at Ether and there's been a

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<v Speaker 4>lot of energy and ether over the last five days,

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<v Speaker 4>just like bitcoin trading. Twenty four to seven, Bloomberg reported,

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<v Speaker 4>citing sources, that the SEC had instructed the New York

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<v Speaker 4>Stock Exchange and the cbo WE to update regulatory filings

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<v Speaker 4>basically that relate to changing rules that would make the

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<v Speaker 4>approval of a spot ether ETF more likely, and the

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<v Speaker 4>market kind of got caught by surprise as if it

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<v Speaker 4>wasn't priced in. And like Caro said at the top

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<v Speaker 4>of the show, you've got compliance officers and chief legal

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<v Speaker 4>officers everywhere going, wait, this isn't supposed to happen this quickly.

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<v Speaker 4>And we learned from our bitcoin experience it ain't linear,

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<v Speaker 4>it doesn't go in a straight line, but people are

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<v Speaker 4>now excited about it. And you look at the performance

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<v Speaker 4>of the two right ether totalized version of the Ethereum blockchain,

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<v Speaker 4>the kind of underpinnings of this industry, the gaps closing

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<v Speaker 4>with Bitcoin a little bit, and Cara, I guess the

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<v Speaker 4>point I'm making is that the market's kind of surprised,

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<v Speaker 4>and I guess you and I might be a bit

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<v Speaker 4>surprised that we're talking about this in this context. And

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<v Speaker 4>looking at the chart behind me, tell.

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<v Speaker 3>You what many people feel really moved the market. It

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<v Speaker 3>was actually Bluemberg intelligence about tunis raising its probability that

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<v Speaker 3>the spot ether ETF was going to come and the

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<v Speaker 3>market we've done that amazing. Well, we're going to talk

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<v Speaker 3>about someone who's we need to the bitcoin scene and

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<v Speaker 3>what he thinks about the Ethereo METF as well. Strike

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<v Speaker 3>CEO Jack Maner is always great to have you on

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<v Speaker 3>the show. Thanks coming in to the studio. You, of

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<v Speaker 3>course very much focused on functionality and building upon Bitcoin.

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<v Speaker 3>What do you think though of a ETF yet more

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<v Speaker 3>institution money potentially coming into the smart contract side of

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<v Speaker 3>the equation.

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<v Speaker 8>Yeah, I'm not a fan of any other cryptocurrency outside

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<v Speaker 8>of Bitcoin, but I think there is a hilarious story

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<v Speaker 8>as to why this is happening. I mean, I was

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<v Speaker 8>laughing out loud. It looks like someone went to Gary

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<v Speaker 8>Gensler and said, hey, buddy, you're not in charge anymore.

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<v Speaker 8>And you'd have to think why that was. It's because

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<v Speaker 8>banks and Wall Street are making money.

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<v Speaker 2>Right.

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<v Speaker 8>Banks get a really bad deal in today's market, is

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<v Speaker 8>they have to buy bonds that are performing awfully, and

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<v Speaker 8>all of a sudden they get a free market in

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<v Speaker 8>this independent crypto thing and they're actually making money. These

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<v Speaker 8>markets have life, These markets go up when governments debase

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<v Speaker 8>their currency. These things perform well. And they got to

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<v Speaker 8>take of bitcoin and it was the best performing product

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<v Speaker 8>that they've ever had, and they're like, oh man, how

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<v Speaker 8>many other pieces of crap are there out there? That

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<v Speaker 8>we can list as ETFs, and I literally think that's

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<v Speaker 8>what's happening. It's a way better business to launch crypto

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<v Speaker 8>ETFs than it is to buy bonds right now based

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<v Speaker 8>on the macro environment. So I think someone said, hey, Gary, sorry, buddy,

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<v Speaker 8>despite you thinking that these things are securities, we need

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<v Speaker 8>to make money, and that's what happened.

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<v Speaker 3>It's funny that you bring up Gary against because, of

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<v Speaker 3>course the House of Representatives currently taking on a bill

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<v Speaker 3>at the moment as to whether it should be the

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<v Speaker 3>sec at AOL overseeing crypto products more generally, or whether

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<v Speaker 3>it should be shifted. But to your point, whether or

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<v Speaker 3>not Ethereum does indeed manage to become spot traded with

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<v Speaker 3>an ETF and.

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<v Speaker 5>Money coming in. There's a real organization.

0:11:45.600 --> 0:11:46.920
<v Speaker 3>Of some of the documents because they don't want to

0:11:46.920 --> 0:11:49.600
<v Speaker 3>see staking involved in any way. How do you think

0:11:49.640 --> 0:11:52.679
<v Speaker 3>about what that means for an investment opportunity?

0:11:53.000 --> 0:11:56.480
<v Speaker 8>I listen again, I'm a bitcoin guy. I think all

0:11:56.520 --> 0:11:58.960
<v Speaker 8>of this is a distraction and a load and nonsense.

0:11:59.000 --> 0:12:00.640
<v Speaker 8>I think what they're trying to do is walk the

0:12:00.679 --> 0:12:03.120
<v Speaker 8>fine line of how can we justify banks and Wall

0:12:03.160 --> 0:12:06.200
<v Speaker 8>Street making more revenue on this industry? Because with all

0:12:06.280 --> 0:12:10.199
<v Speaker 8>passive investing and central banks really trying to price control everything,

0:12:10.559 --> 0:12:12.880
<v Speaker 8>this market has life, and if it has life, it

0:12:12.960 --> 0:12:15.680
<v Speaker 8>means there's an opportunity to make money. Volatility is a

0:12:15.679 --> 0:12:18.160
<v Speaker 8>good thing. People on Wall Street like volatility, so they're

0:12:18.160 --> 0:12:20.280
<v Speaker 8>trying to find a way to justify and make happy

0:12:20.320 --> 0:12:24.480
<v Speaker 8>in peace with existing securities laws while giving these Wall

0:12:24.480 --> 0:12:27.840
<v Speaker 8>Street and these big banks like JP Morgan an ability

0:12:27.840 --> 0:12:30.719
<v Speaker 8>to monetize this space and actually make money because the

0:12:30.760 --> 0:12:33.880
<v Speaker 8>business they're in right now is awful. I mean, you're

0:12:34.000 --> 0:12:36.360
<v Speaker 8>needing to buy bonds, lend money to the government and

0:12:36.360 --> 0:12:38.400
<v Speaker 8>not get paid the growth that they're e's eve been.

0:12:38.360 --> 0:12:40.120
<v Speaker 3>Doing quite well. I mean, there are certain parts of

0:12:40.120 --> 0:12:43.120
<v Speaker 3>the finance. I get your point. The financial institutions still

0:12:43.160 --> 0:12:44.760
<v Speaker 3>been doing quite well in the rest of the markets.

0:12:44.800 --> 0:12:47.280
<v Speaker 3>But there's yeah, ebrtually a role for banks to play here,

0:12:47.280 --> 0:12:48.840
<v Speaker 3>which could also be going through bigulary.

0:12:48.880 --> 0:12:51.360
<v Speaker 8>Yeah, but I think listen, the S and P five

0:12:51.440 --> 0:12:53.880
<v Speaker 8>hundred is dominated by what like the top seven companies,

0:12:53.880 --> 0:12:56.280
<v Speaker 8>and they're all tech companies. Tech companies don't care about

0:12:56.320 --> 0:12:59.520
<v Speaker 8>the cost of capital. They don't need business loans, Facebook, Apple,

0:12:59.600 --> 0:13:02.040
<v Speaker 8>these company copanies can finance their business with their existing

0:13:02.040 --> 0:13:04.720
<v Speaker 8>cash flows, and so the rest of the world is

0:13:04.760 --> 0:13:07.200
<v Speaker 8>in a pain of hurt and banks right now their

0:13:07.240 --> 0:13:09.600
<v Speaker 8>whole job is to take our deposits and buy bonds,

0:13:09.600 --> 0:13:11.679
<v Speaker 8>and these bonds are getting slaughtered, and all of a

0:13:11.720 --> 0:13:14.320
<v Speaker 8>sudden they're like, Wow, here's a market with life. Here's

0:13:14.360 --> 0:13:16.600
<v Speaker 8>a market with retail flows. Here's a market that has

0:13:16.720 --> 0:13:20.040
<v Speaker 8>volatility and that is actually reactive to the outside world. Hey,

0:13:20.080 --> 0:13:21.640
<v Speaker 8>how many of these crypto things exist?

0:13:21.720 --> 0:13:21.920
<v Speaker 5>Hey?

0:13:21.920 --> 0:13:24.640
<v Speaker 8>Gary, except them all? So I wouldn't be surprised if

0:13:24.640 --> 0:13:27.480
<v Speaker 8>we got a Subaduchie coin. What did I say on here?

0:13:27.679 --> 0:13:30.720
<v Speaker 8>We should get a Subaduchie ETF soon. Seriously, I really

0:13:30.760 --> 0:13:33.200
<v Speaker 8>think they're just trying to actize it. Jack.

0:13:33.600 --> 0:13:35.640
<v Speaker 4>Let's go back to basics here. There will be members

0:13:35.640 --> 0:13:38.240
<v Speaker 4>of the Bloomberg tetlas the audience that push back on

0:13:38.400 --> 0:13:43.520
<v Speaker 4>I'm paraphrasing a spot eth ETF being the next listing

0:13:43.559 --> 0:13:46.720
<v Speaker 4>of a piece of crap. There's a standard tagline in

0:13:46.760 --> 0:13:50.000
<v Speaker 4>our Bloomberg Cabaret coverage, which is the ether is a

0:13:50.080 --> 0:13:54.400
<v Speaker 4>native token of ethereum, and ethereum is the most widely

0:13:54.520 --> 0:13:59.000
<v Speaker 4>commercially used blockchain. What would be your response to that

0:13:59.200 --> 0:14:00.120
<v Speaker 4>standard line?

0:14:00.400 --> 0:14:04.080
<v Speaker 8>Sure, okay, and I apologize to all those I offended.

0:14:04.280 --> 0:14:07.680
<v Speaker 8>Here's my point. Bitcoin is the only money within the

0:14:07.679 --> 0:14:11.840
<v Speaker 8>cryptocurrency space. It's designed and treated as a monetary asset.

0:14:12.080 --> 0:14:13.880
<v Speaker 8>So then what do I think ethereum is. I think

0:14:13.880 --> 0:14:17.480
<v Speaker 8>ethereum is a technology, which you actually just displayed in

0:14:17.520 --> 0:14:20.880
<v Speaker 8>your introduction and definition of it. Ethereum appeals to developers.

0:14:20.920 --> 0:14:23.480
<v Speaker 8>They change the monetary policy and the rules all of

0:14:23.560 --> 0:14:27.280
<v Speaker 8>the time. However, the market often conflates it as a money,

0:14:27.360 --> 0:14:30.760
<v Speaker 8>conflates it as a commodity, strike as a technology, and

0:14:30.840 --> 0:14:33.480
<v Speaker 8>video is a technology. These things are regulated by the SEC.

0:14:33.520 --> 0:14:36.239
<v Speaker 8>These things have cash flows, These things have founders, directors,

0:14:36.320 --> 0:14:38.800
<v Speaker 8>people that set the roadmap. And so when I say

0:14:38.840 --> 0:14:41.120
<v Speaker 8>a piece of crap, maybe I'm being a bit aggressive,

0:14:41.160 --> 0:14:43.600
<v Speaker 8>but I think it's distinctly different from bitcoin. I think

0:14:43.640 --> 0:14:46.400
<v Speaker 8>bitcoin can be the world reserve asset, the one money

0:14:46.400 --> 0:14:48.840
<v Speaker 8>that we use to store our time and energy. And

0:14:48.920 --> 0:14:51.680
<v Speaker 8>I think ethereum can be a technology which competes within video.

0:14:51.720 --> 0:14:53.560
<v Speaker 8>But then it gets confusing. It's like, well, what's their

0:14:53.560 --> 0:14:56.640
<v Speaker 8>cash flows? Who founded it, who sets the direction? Why

0:14:56.680 --> 0:14:58.960
<v Speaker 8>does it change so much? And when it does change,

0:14:58.960 --> 0:15:00.920
<v Speaker 8>why does it change? I think that there's a lot

0:15:00.960 --> 0:15:04.360
<v Speaker 8>of intentional confusion going on in the story, and as

0:15:04.360 --> 0:15:06.440
<v Speaker 8>a bitcoiner, it frustrates me because I'm trying to fix

0:15:06.480 --> 0:15:09.080
<v Speaker 8>the money, fix the world, and so I think that

0:15:09.120 --> 0:15:11.040
<v Speaker 8>there's a lot the market has to sort out as

0:15:11.040 --> 0:15:13.000
<v Speaker 8>to what it actually is and how to value it.

0:15:13.720 --> 0:15:17.440
<v Speaker 3>Jack Man has come back with your messaging and come

0:15:17.480 --> 0:15:19.920
<v Speaker 3>on the show from San Francisco as well. Strike CEO

0:15:20.080 --> 0:15:21.840
<v Speaker 3>Jack maners on all things crypto. I mean, while we

0:15:21.840 --> 0:15:23.920
<v Speaker 3>do have some breaking news coming from the UK, there

0:15:23.920 --> 0:15:26.040
<v Speaker 3>has been a lot of rumor swirling about whether or

0:15:26.080 --> 0:15:28.440
<v Speaker 3>not we'll see a summer election called by Rishie Sunak,

0:15:28.720 --> 0:15:31.560
<v Speaker 3>the current Prime Minister UK. Sunac will call a summer

0:15:31.600 --> 0:15:35.040
<v Speaker 3>election this afternoon, that's being reported by The Guardian. He

0:15:35.240 --> 0:15:38.360
<v Speaker 3>is going to call that election for July, so the

0:15:38.400 --> 0:15:39.600
<v Speaker 3>Guardian reports now.

0:15:39.640 --> 0:15:40.960
<v Speaker 5>Thus far, Bloomberg has.

0:15:40.840 --> 0:15:43.840
<v Speaker 3>Been reporting that there has been repeated affirmation that there

0:15:43.840 --> 0:15:46.520
<v Speaker 3>will be an election in twenty twenty four in the

0:15:46.600 --> 0:15:48.400
<v Speaker 3>second half of the year.

0:15:48.760 --> 0:15:51.200
<v Speaker 5>The nuance is exactly when that second half.

0:15:51.040 --> 0:16:02.280
<v Speaker 3>Is politics out of the United Kingdom, Rishi Sunac, the

0:16:02.360 --> 0:16:04.880
<v Speaker 3>Prime Minister, likely to call an election for as soon

0:16:04.920 --> 0:16:07.840
<v Speaker 3>as July, as being reported by the Guardian, now we

0:16:07.920 --> 0:16:11.160
<v Speaker 3>know that there's been plenty of rumors, particularly accentuated by

0:16:11.160 --> 0:16:13.400
<v Speaker 3>the inflation report that came out of the UK today,

0:16:13.440 --> 0:16:15.400
<v Speaker 3>which showed, even though it was higher than the market

0:16:15.400 --> 0:16:18.600
<v Speaker 3>and anticipated, inflation is slowing closer to where the Bank

0:16:18.640 --> 0:16:20.880
<v Speaker 3>of England's key rate of two percent.

0:16:21.000 --> 0:16:22.520
<v Speaker 5>Level target is ed.

0:16:22.680 --> 0:16:26.120
<v Speaker 3>This is notable because there has been much frustration with

0:16:26.160 --> 0:16:29.080
<v Speaker 3>a way in which Rissi Sunac, leader of the Conservative Party,

0:16:29.080 --> 0:16:32.040
<v Speaker 3>Prime Minister of the UK, has been able to inject

0:16:32.120 --> 0:16:36.560
<v Speaker 3>or not the economic recovery into over the UK. The

0:16:36.640 --> 0:16:41.160
<v Speaker 3>labor the alternative party in the UK needs by many

0:16:41.240 --> 0:16:45.520
<v Speaker 3>points in terms of how perhaps voters would lean, and

0:16:45.600 --> 0:16:48.520
<v Speaker 3>notable that he wants to well accelerate any sort of

0:16:48.960 --> 0:16:51.280
<v Speaker 3>putting them to the polls well.

0:16:51.320 --> 0:16:54.760
<v Speaker 4>According to the Guardians reporting July would be sooner than

0:16:54.800 --> 0:16:57.920
<v Speaker 4>the sort of general wisdom which it was that Prime

0:16:57.960 --> 0:17:02.160
<v Speaker 4>Minister Sunak would wait until the autumn. His consistent line

0:17:02.160 --> 0:17:03.560
<v Speaker 4>has been that there would be a vote in the

0:17:03.600 --> 0:17:06.760
<v Speaker 4>second half of the year. But the rationale or thinking

0:17:06.800 --> 0:17:09.159
<v Speaker 4>that he'd wait to the autumn is that there is

0:17:09.200 --> 0:17:12.399
<v Speaker 4>a cost of living crisis in the United Kingdom. Basically

0:17:12.920 --> 0:17:18.000
<v Speaker 4>and strategically, he and the Conservative Party the thinking was

0:17:18.480 --> 0:17:22.119
<v Speaker 4>would hold into the autumn to let that cost of

0:17:22.160 --> 0:17:25.520
<v Speaker 4>living crisis dissipate somewhat ease off and then have more

0:17:25.560 --> 0:17:28.359
<v Speaker 4>favorable environment. But you're completely right that if you go

0:17:28.400 --> 0:17:31.880
<v Speaker 4>off the polls, which one always approaches with caution, then

0:17:31.920 --> 0:17:36.880
<v Speaker 4>the Conservatives do lead trail the opposition Labor Party.

0:17:37.080 --> 0:17:38.960
<v Speaker 3>We can go out to Lizzie Burdon, who's over in

0:17:39.000 --> 0:17:42.879
<v Speaker 3>the United Kingdom covering the political storytelling there, and at

0:17:42.880 --> 0:17:45.639
<v Speaker 3>the moment, Lizzie, it looks as though the Guardian is

0:17:45.640 --> 0:17:48.240
<v Speaker 3>giving us a month at least that we could see

0:17:48.359 --> 0:17:51.879
<v Speaker 3>a general election. It's being cited by some senior those

0:17:51.920 --> 0:17:53.960
<v Speaker 3>close to Rashid Zunac himself.

0:17:55.240 --> 0:17:59.879
<v Speaker 9>And lead up downing too. They always are being rightly

0:18:00.200 --> 0:18:04.200
<v Speaker 9>takes in Oxford twenty twenty two when Boris Johnson said

0:18:04.359 --> 0:18:08.119
<v Speaker 9>down and Ricky see that came in put somewhere in

0:18:08.160 --> 0:18:11.119
<v Speaker 9>between that look all day, which you see how this

0:18:11.240 --> 0:18:14.359
<v Speaker 9>has the opportunity to deny that you're going before the

0:18:14.520 --> 0:18:17.879
<v Speaker 9>July elected. He's had unto opportunity and he's reflected at

0:18:18.000 --> 0:18:22.520
<v Speaker 9>the champ having It is ongoing currently the Letios administ

0:18:22.760 --> 0:18:24.600
<v Speaker 9>and has been for the past twenty a few minutes

0:18:25.040 --> 0:18:27.639
<v Speaker 9>it's old executive thing. We've come when he put a

0:18:27.720 --> 0:18:30.399
<v Speaker 9>Pilar Bailer who is only on the grounds for about

0:18:30.480 --> 0:18:35.720
<v Speaker 9>two hours, and the defense granted that. The gold tip

0:18:35.800 --> 0:18:41.240
<v Speaker 9>states for I've been twenty to a big announcement, and

0:18:41.760 --> 0:18:42.720
<v Speaker 9>here he had to gude.

0:18:42.640 --> 0:18:45.720
<v Speaker 4>Yeah, Lizzie, Sorry, sorry to interrupts you. Here we're getting Lizzie,

0:18:45.800 --> 0:18:47.560
<v Speaker 4>give me a second. Here, we're getting some more headlines

0:18:47.600 --> 0:18:51.000
<v Speaker 4>on the Bloomberg terminal, this time Sky News reporting that

0:18:51.040 --> 0:18:54.359
<v Speaker 4>a UK general election will be on July fourth, a

0:18:54.440 --> 0:18:57.880
<v Speaker 4>more specific date than the Guardian was giving. We now

0:18:57.920 --> 0:19:01.160
<v Speaker 4>have two reports from two different U outlets or news

0:19:01.280 --> 0:19:04.280
<v Speaker 4>organizations that there will be a general election in July.

0:19:04.920 --> 0:19:06.879
<v Speaker 4>I want to bring in Bonnie Quinn and talking a

0:19:06.880 --> 0:19:09.719
<v Speaker 4>little bit more about the UK economy here, Vonnie, because

0:19:09.960 --> 0:19:13.119
<v Speaker 4>this is an issue of timing and strategy. July is

0:19:13.160 --> 0:19:16.720
<v Speaker 4>sooner than expected, and it's sooner than expected because Rishi

0:19:16.800 --> 0:19:21.439
<v Speaker 4>Sunac faces a difficult domestic economic picture that will inform

0:19:21.520 --> 0:19:23.120
<v Speaker 4>voters minds exactly.

0:19:23.280 --> 0:19:23.359
<v Speaker 9>Ed.

0:19:23.359 --> 0:19:25.840
<v Speaker 10>Well, let's talk about that inflation data that came in earlier,

0:19:25.880 --> 0:19:28.520
<v Speaker 10>coming into five point three percent, which was higher than

0:19:28.520 --> 0:19:32.960
<v Speaker 10>most analysts and economists were anticipating. Services inflation two point

0:19:33.000 --> 0:19:36.200
<v Speaker 10>three services inflation at five point nine percent, which really

0:19:36.200 --> 0:19:39.240
<v Speaker 10>shows that inflation is entrenched. Rishi Sunac would have been

0:19:39.240 --> 0:19:41.119
<v Speaker 10>hoping for that to come down and for there to

0:19:41.160 --> 0:19:44.840
<v Speaker 10>have been a few more months of data showing better

0:19:44.880 --> 0:19:46.040
<v Speaker 10>inflation figures.

0:19:46.240 --> 0:19:47.240
<v Speaker 5>He's not getting that.

0:19:47.760 --> 0:19:50.960
<v Speaker 10>Interestingly, the Bank of England, which had been expected to

0:19:51.119 --> 0:19:54.080
<v Speaker 10>maybe make it cut in June. Banks have been pushing

0:19:54.080 --> 0:19:54.920
<v Speaker 10>their estimates for.

0:19:54.960 --> 0:19:56.000
<v Speaker 5>That first cut out.

0:19:56.200 --> 0:19:58.560
<v Speaker 10>In fact, just the most recent bank to do that

0:19:58.600 --> 0:20:02.000
<v Speaker 10>was Goldman sachsing that's most likely August now for there

0:20:02.080 --> 0:20:04.640
<v Speaker 10>to be a snap election, that makes life a lot easier,

0:20:04.720 --> 0:20:06.919
<v Speaker 10>right because if there were to be a snap election

0:20:07.280 --> 0:20:10.080
<v Speaker 10>in July, as some outlets are reporting, that would mean

0:20:10.119 --> 0:20:12.680
<v Speaker 10>that June would be a very contentious time to make

0:20:12.720 --> 0:20:16.360
<v Speaker 10>a raid cut. If the cut isn't going to happen anyway,

0:20:16.400 --> 0:20:18.920
<v Speaker 10>as most banks are now anticipating, well, that makes it

0:20:18.960 --> 0:20:21.359
<v Speaker 10>maybe easier to get an election out of the way. However,

0:20:21.440 --> 0:20:24.720
<v Speaker 10>Chancellor Jeremy Hunt has a difficult job in that position then,

0:20:24.800 --> 0:20:27.480
<v Speaker 10>because if he's not going to be the Chancellor anymore

0:20:27.520 --> 0:20:30.800
<v Speaker 10>than it falls to possibly Labor's Rachel Reeves. That's the

0:20:30.840 --> 0:20:34.399
<v Speaker 10>person that markets are anticipating would enter a number eleven

0:20:34.520 --> 0:20:36.560
<v Speaker 10>in the event of a snap election with a better

0:20:36.680 --> 0:20:39.760
<v Speaker 10>Labor result, and then it's her bag, right, And the IMF,

0:20:39.800 --> 0:20:42.080
<v Speaker 10>as we know, has been calling for raid cuts this

0:20:42.160 --> 0:20:45.239
<v Speaker 10>year and more next year, trying to bring to that

0:20:45.320 --> 0:20:47.280
<v Speaker 10>bank rate all the way down to about three and

0:20:47.320 --> 0:20:49.240
<v Speaker 10>a half percent by the end of twenty twenty five

0:20:49.320 --> 0:20:52.320
<v Speaker 10>in order to relieve this cost of living crisis which

0:20:52.320 --> 0:20:54.359
<v Speaker 10>is ongoing now three years ed.

0:20:55.359 --> 0:20:57.680
<v Speaker 3>And let's just talk about Rachel Reeves, who of course

0:20:57.760 --> 0:21:01.399
<v Speaker 3>is the Shadow Chancellor, meaning she's in the opposition party

0:21:01.440 --> 0:21:04.600
<v Speaker 3>of Labor led by Seki Stama, and they have been

0:21:04.960 --> 0:21:07.680
<v Speaker 3>well ahead in terms of the polls thus far, and

0:21:07.720 --> 0:21:10.440
<v Speaker 3>the Labor leader has indeed been recently launching his six

0:21:10.480 --> 0:21:13.160
<v Speaker 3>Pledges first steps to guiding the UK going forward.

0:21:13.160 --> 0:21:15.800
<v Speaker 5>And it's not just all about here and now of inflation.

0:21:15.880 --> 0:21:19.440
<v Speaker 3>It's a lot about healthcare, access to NHS waiting lists,

0:21:19.480 --> 0:21:21.159
<v Speaker 3>and of course that comes down to funding.

0:21:21.240 --> 0:21:21.520
<v Speaker 5>Vonny.

0:21:21.800 --> 0:21:26.240
<v Speaker 3>More broadly, would it be the viewpoint from the economy

0:21:26.280 --> 0:21:28.920
<v Speaker 3>here that Labour would in any way change.

0:21:28.640 --> 0:21:32.280
<v Speaker 10>The trajectory, Well, changing the trajectory is one thing.

0:21:32.359 --> 0:21:33.880
<v Speaker 5>Promises are another thing, Caroline.

0:21:33.960 --> 0:21:37.280
<v Speaker 10>So for sure Rachel Reeves has constantly said that you

0:21:37.320 --> 0:21:40.480
<v Speaker 10>would increase government spending in order to help along the

0:21:40.520 --> 0:21:44.600
<v Speaker 10>lines of healthcare, national insurance and pensions in particular, which

0:21:44.640 --> 0:21:46.879
<v Speaker 10>is going to be a very contentious issue for the

0:21:46.920 --> 0:21:50.200
<v Speaker 10>next chancellor. That said, the IMF has said you can't

0:21:50.200 --> 0:21:54.359
<v Speaker 10>do it. You can neither decrease taxes nor increase government spending.

0:21:54.440 --> 0:21:56.199
<v Speaker 10>The economy won't be able to take it. You are

0:21:56.280 --> 0:21:59.240
<v Speaker 10>risking growth. And remember the UK just came out of recession.

0:21:59.240 --> 0:21:59.960
<v Speaker 5>In the first quarter.

0:22:00.200 --> 0:22:02.080
<v Speaker 10>It grew point six percent and that was a big

0:22:02.119 --> 0:22:04.760
<v Speaker 10>relief to the authorities, but that could be in jeopardy

0:22:04.800 --> 0:22:05.800
<v Speaker 10>if there were to be more spending.

0:22:05.800 --> 0:22:07.520
<v Speaker 5>At least according to the IMF.

0:22:07.440 --> 0:22:12.159
<v Speaker 3>Buddy Quinn, there were the latest.

0:22:17.280 --> 0:22:19.600
<v Speaker 4>Welcome back to Blindow Technology, Ed love Low in San

0:22:19.640 --> 0:22:20.480
<v Speaker 4>Francisco and.

0:22:20.480 --> 0:22:21.399
<v Speaker 5>Caroline Hied in New York.

0:22:21.480 --> 0:22:23.480
<v Speaker 3>Let's check in on these markets because there is a

0:22:23.480 --> 0:22:26.280
<v Speaker 3>wait and see feel to the broader indexes. Today we've

0:22:26.320 --> 0:22:29.119
<v Speaker 3>hit record high after record high on the SMP, on

0:22:29.160 --> 0:22:32.000
<v Speaker 3>the Dow, and indeed on our trusted tech benchmarks. I'm

0:22:32.000 --> 0:22:34.159
<v Speaker 3>looking at the NASDAT one hundred currently holding on to

0:22:34.200 --> 0:22:36.400
<v Speaker 3>gains up two tens percent as the all important set

0:22:36.400 --> 0:22:38.880
<v Speaker 3>of numbers come out after the mall in Nvidia, key

0:22:38.960 --> 0:22:42.639
<v Speaker 3>to market capitalization, key to the optimism around AI.

0:22:43.000 --> 0:22:44.760
<v Speaker 5>For the rest of the benchmarks, I'm looking.

0:22:44.520 --> 0:22:47.840
<v Speaker 3>What's happening with the US tenure yield basically training Flattenman.

0:22:47.880 --> 0:22:50.160
<v Speaker 3>We've got a big twenty year auction and also fed

0:22:50.200 --> 0:22:52.920
<v Speaker 3>minutes coming to really pass through for the market. That's

0:22:52.920 --> 0:22:55.919
<v Speaker 3>at lunchtime basically up about a tenth of a percent.

0:22:56.119 --> 0:22:59.960
<v Speaker 3>That's as we do potentially anticipate yet another spot ETF,

0:23:00.080 --> 0:23:03.320
<v Speaker 3>this one linked to ethereum. We'll see if that continues.

0:23:03.480 --> 0:23:05.040
<v Speaker 3>Let's move on and have a look at what's happening

0:23:05.040 --> 0:23:06.520
<v Speaker 3>from a macro perspecture.

0:23:06.119 --> 0:23:08.399
<v Speaker 5>Across the pond. Great British pound.

0:23:08.359 --> 0:23:11.160
<v Speaker 3>Currently still holding onto gains. Why was it up versus

0:23:11.200 --> 0:23:13.960
<v Speaker 3>the US dollar because the CPI print the consumer price

0:23:14.000 --> 0:23:16.960
<v Speaker 3>in next coming in actually hotter than was anticipated. Yes,

0:23:16.960 --> 0:23:18.960
<v Speaker 3>it's down from an excess of three percent, but two

0:23:19.000 --> 0:23:20.800
<v Speaker 3>point three percent was more than the market wanted to

0:23:20.840 --> 0:23:23.600
<v Speaker 3>see for anticipating some sort of Bank of England rate cut.

0:23:23.800 --> 0:23:25.440
<v Speaker 5>So the pound is up on some macro data.

0:23:25.440 --> 0:23:28.160
<v Speaker 3>But there's also the points that being driven home from

0:23:28.160 --> 0:23:30.600
<v Speaker 3>a political perspective that we could see a general election

0:23:30.640 --> 0:23:33.320
<v Speaker 3>held as soon as July fourth, currently being reported by

0:23:33.359 --> 0:23:35.160
<v Speaker 3>sky News. We'll have more on that in a minute,

0:23:35.200 --> 0:23:36.520
<v Speaker 3>but what we got on the.

0:23:36.480 --> 0:23:41.040
<v Speaker 4>Tech Another top story on the Bloomberg terminon dot com

0:23:41.119 --> 0:23:43.520
<v Speaker 4>is Apple. It plans to ask a court to throw

0:23:43.560 --> 0:23:46.960
<v Speaker 4>out the DOJ's case against the iPhone maker, making a

0:23:46.960 --> 0:23:49.679
<v Speaker 4>long shot bid to ward off what promises to be

0:23:49.800 --> 0:23:53.960
<v Speaker 4>a lengthy legal battle, joining US Bloomberg Intelligence, Sandalist Santa Agrana.

0:23:54.040 --> 0:23:57.440
<v Speaker 4>You know, this is a case followed closely, largely procedural

0:23:57.560 --> 0:24:01.480
<v Speaker 4>update that Apple saying this is what we believe help

0:24:01.560 --> 0:24:02.440
<v Speaker 4>us out.

0:24:03.000 --> 0:24:04.119
<v Speaker 1>How do you price that anrag?

0:24:05.320 --> 0:24:07.520
<v Speaker 11>Yeah. I think this is one of the more important things,

0:24:07.520 --> 0:24:10.560
<v Speaker 11>and people don't talk about it because frankly speaking, you know,

0:24:10.600 --> 0:24:13.280
<v Speaker 11>services revenue, as you know, is the one that's driving

0:24:13.480 --> 0:24:16.159
<v Speaker 11>Apple's growth right now, and a large portion of that

0:24:16.359 --> 0:24:19.160
<v Speaker 11>is the app store revenue. And if there are things

0:24:19.200 --> 0:24:22.159
<v Speaker 11>that will be done to damage that and it's going

0:24:22.200 --> 0:24:24.320
<v Speaker 11>to have an impact on Apple, so far we haven't

0:24:24.359 --> 0:24:27.040
<v Speaker 11>seen it because right now it's only a little bit

0:24:27.160 --> 0:24:29.800
<v Speaker 11>changes in the EU, but any changes in the US,

0:24:30.520 --> 0:24:32.760
<v Speaker 11>you know, could could have a material impact on that number.

0:24:32.800 --> 0:24:35.520
<v Speaker 11>So I think Apple will do whatever it can to

0:24:35.560 --> 0:24:38.960
<v Speaker 11>protect its ecosystem, and as you said, it's going to

0:24:38.960 --> 0:24:40.439
<v Speaker 11>be a lengthy legal battle.

0:24:41.080 --> 0:24:44.320
<v Speaker 3>Yeah, we're not on how it seems as though it

0:24:44.359 --> 0:24:46.720
<v Speaker 3>is rare for these sorts of things to be thrown

0:24:46.760 --> 0:24:49.159
<v Speaker 3>out at the behest of certain companies. Em though we

0:24:49.200 --> 0:24:52.600
<v Speaker 3>did see Meta indeed manage to persuade on that FDC

0:24:53.640 --> 0:24:56.960
<v Speaker 3>focused previously. But ad more broadly, is Apple doing enough

0:24:57.000 --> 0:24:59.399
<v Speaker 3>to change the tune when it comes to AI? For example,

0:24:59.440 --> 0:25:02.360
<v Speaker 3>we've actually seen shares do particularly well post earnings.

0:25:03.400 --> 0:25:05.600
<v Speaker 11>Yeah, I think, you know, I would give a little

0:25:05.600 --> 0:25:08.280
<v Speaker 11>bit of that credit to Mark Government for breaking news

0:25:08.320 --> 0:25:11.280
<v Speaker 11>on you know, their partnership with open ai or potential

0:25:11.280 --> 0:25:14.400
<v Speaker 11>partnership with open Ai and the ongoing talks that they

0:25:14.400 --> 0:25:16.399
<v Speaker 11>have and even Google, So you know, one of the

0:25:16.440 --> 0:25:19.080
<v Speaker 11>things we I think it's it's pretty Most people will

0:25:19.080 --> 0:25:21.199
<v Speaker 11>agree that Apple has not been at the forefront of

0:25:21.840 --> 0:25:24.800
<v Speaker 11>any new GENI developments. So the question is, well, what

0:25:24.840 --> 0:25:26.840
<v Speaker 11>are they going to do when they when they have

0:25:26.920 --> 0:25:29.120
<v Speaker 11>to and when when the June tenth event comes in,

0:25:29.520 --> 0:25:32.360
<v Speaker 11>if they are going to announce a partnership with open ai,

0:25:32.520 --> 0:25:35.600
<v Speaker 11>with with Google that can help them to change their

0:25:35.640 --> 0:25:38.399
<v Speaker 11>software make it a little bit better, and based on

0:25:38.520 --> 0:25:42.080
<v Speaker 11>that we see a refresh cycle improved for the iPhone.

0:25:42.119 --> 0:25:44.040
<v Speaker 11>I think it's going to be good for Apple, So

0:25:44.119 --> 0:25:45.920
<v Speaker 11>I think I think it is. It is going in

0:25:45.960 --> 0:25:47.760
<v Speaker 11>the right direction, but we have a long way to

0:25:47.800 --> 0:25:50.480
<v Speaker 11>go before we can say that they have they have

0:25:50.520 --> 0:25:53.520
<v Speaker 11>a good position in that market, An.

0:25:53.600 --> 0:25:57.680
<v Speaker 3>Rag Rana, We always appreciate it coming from Boston glmeg Intelligence. Meanwhile,

0:25:57.760 --> 0:26:00.399
<v Speaker 3>let's focus in on what companies are driving forward. AI

0:26:00.560 --> 0:26:04.600
<v Speaker 3>Salesforce launching Einstein co Pilot for merchants and marketers to

0:26:04.720 --> 0:26:10.360
<v Speaker 3>help companies basically personalized customer engagement across marketing commerce sales services. Well,

0:26:10.359 --> 0:26:13.359
<v Speaker 3>thanks of course, Generator AI. Let's bring in Salesforce AI

0:26:13.480 --> 0:26:17.520
<v Speaker 3>CEO Clara she who is traveling around post the VivaTech

0:26:17.600 --> 0:26:20.320
<v Speaker 3>conference in Paris, and I'm really interested as to what

0:26:20.320 --> 0:26:22.960
<v Speaker 3>you're setting forth a Clara, how are you trying to

0:26:22.960 --> 0:26:26.040
<v Speaker 3>pit yourself against the competition of being able for your

0:26:26.040 --> 0:26:29.639
<v Speaker 3>clients to use their own data in a more sophisticated manner.

0:26:31.320 --> 0:26:32.520
<v Speaker 1>Thank you so much for having me.

0:26:32.680 --> 0:26:34.720
<v Speaker 12>First of all, we are thrilled to be hosting our

0:26:34.760 --> 0:26:39.840
<v Speaker 12>Salesforce Connections event this week in Chicago for commerce merchants

0:26:39.920 --> 0:26:43.920
<v Speaker 12>and marketers and to be announcing just amazing innovation around

0:26:44.000 --> 0:26:48.359
<v Speaker 12>Einstein Copilot as well as Einstein Personalization and now data

0:26:48.359 --> 0:26:51.520
<v Speaker 12>cloud for commerce. I mean, if you think about it, Caroline,

0:26:51.560 --> 0:26:54.159
<v Speaker 12>you know, for the last twenty five years, customers have

0:26:54.240 --> 0:26:58.720
<v Speaker 12>been bringing their trusted data to salesforce and building their campaigns,

0:26:58.960 --> 0:27:02.600
<v Speaker 12>their transaction data, all of their business logic and salesforce,

0:27:02.880 --> 0:27:04.560
<v Speaker 12>and now they can unlock.

0:27:04.160 --> 0:27:05.840
<v Speaker 8>That data through AI.

0:27:06.040 --> 0:27:10.080
<v Speaker 12>And it's very different than going to chat GBT, going

0:27:10.080 --> 0:27:13.679
<v Speaker 12>to another AI system that may not be secure, that

0:27:13.800 --> 0:27:16.919
<v Speaker 12>may not have their trusted data, and getting results that

0:27:17.000 --> 0:27:19.600
<v Speaker 12>may not make sense for their business, versus one that's

0:27:19.640 --> 0:27:22.840
<v Speaker 12>completely grounded in their organization's data and processes.

0:27:24.200 --> 0:27:27.440
<v Speaker 4>Clara, Hey, it's dead in San Francisco. I'm really interested

0:27:27.440 --> 0:27:29.560
<v Speaker 4>in the co pilot for merchants. Right, we seem to

0:27:29.560 --> 0:27:34.119
<v Speaker 4>be increasingly moving toward basically the AI agent where the

0:27:34.240 --> 0:27:38.600
<v Speaker 4>human being or several human beings interact with this agent

0:27:38.720 --> 0:27:41.840
<v Speaker 4>just in the normal course of their roles. How quickly

0:27:41.880 --> 0:27:44.360
<v Speaker 4>do you see the adoption happening and where is it happening?

0:27:45.359 --> 0:27:47.840
<v Speaker 12>Well, it's just amazing to see the response so far

0:27:48.160 --> 0:27:51.640
<v Speaker 12>for Einstein Copilot in both sales and in customer service,

0:27:51.720 --> 0:27:55.000
<v Speaker 12>and for merchants. And marketers, it's going to be equally powerful.

0:27:55.160 --> 0:27:58.520
<v Speaker 12>What we're seeing is that AI is able to augment

0:27:58.920 --> 0:28:02.119
<v Speaker 12>employees and you know, think about a commerce manager that

0:28:02.280 --> 0:28:05.199
<v Speaker 12>has to set up a digital storefront or wants to

0:28:05.280 --> 0:28:09.040
<v Speaker 12>launch a personalized commerce campaign. Now they're able to do

0:28:09.119 --> 0:28:12.240
<v Speaker 12>so with the help of this powerful copilot that has

0:28:12.320 --> 0:28:15.520
<v Speaker 12>all of their inventory data, that understands all of the

0:28:15.560 --> 0:28:19.520
<v Speaker 12>best practices and is able to personalize to that specific

0:28:19.560 --> 0:28:22.600
<v Speaker 12>customer their transaction history and their preferences.

0:28:22.800 --> 0:28:25.919
<v Speaker 3>Clara, it's really interesting you brought up chat GPT is

0:28:26.000 --> 0:28:28.119
<v Speaker 3>the potential of what someone else could be typing into

0:28:28.200 --> 0:28:31.200
<v Speaker 3>because ultimately Einstein GBT correct me if I'm wrong is

0:28:31.240 --> 0:28:33.879
<v Speaker 3>a mixture of public private AI models, and you actually

0:28:33.880 --> 0:28:36.520
<v Speaker 3>have a partnership with open AI. So talk to us

0:28:36.560 --> 0:28:40.800
<v Speaker 3>about the competitive or friendome situation you have with Microsoft

0:28:40.800 --> 0:28:42.120
<v Speaker 3>and open AIS partnership.

0:28:43.160 --> 0:28:46.040
<v Speaker 12>Well, we really believe in customer choice, and it's also

0:28:46.320 --> 0:28:50.120
<v Speaker 12>very early in the LM in the large language model game,

0:28:50.200 --> 0:28:52.400
<v Speaker 12>so it's too soon to call a winner. And so

0:28:52.640 --> 0:28:55.719
<v Speaker 12>the way that we've built our Einstein one platform is

0:28:56.400 --> 0:28:59.920
<v Speaker 12>it's an open architecture and so customers can choose their

0:29:00.080 --> 0:29:03.400
<v Speaker 12>favorite LM, whether it's one of our own Salesforce homegrown

0:29:03.520 --> 0:29:07.760
<v Speaker 12>domain specific llms like Flogen and Cogen, or it's from

0:29:07.800 --> 0:29:12.800
<v Speaker 12>one of our trusted model partners including Google, Anthropic, Amazon,

0:29:13.400 --> 0:29:16.440
<v Speaker 12>Microsoft Open Ai, and then customers can also bring their

0:29:16.440 --> 0:29:20.160
<v Speaker 12>own model. So it's really really about adding value on top.

0:29:20.200 --> 0:29:24.280
<v Speaker 12>It's our Einstein trust layer, providing data security, data privacy,

0:29:24.800 --> 0:29:28.600
<v Speaker 12>zero retention prompts to ensure that none of the context

0:29:28.840 --> 0:29:31.800
<v Speaker 12>that gets put into a prompt is ever stored or

0:29:31.920 --> 0:29:34.320
<v Speaker 12>learned by a model, whether that's ours or a third

0:29:34.360 --> 0:29:38.480
<v Speaker 12>party model. It's providing an audit, trail, citations, and really

0:29:38.520 --> 0:29:42.000
<v Speaker 12>that trust that customers need as a price of admission

0:29:42.000 --> 0:29:43.320
<v Speaker 12>for AI in the enterprise.

0:29:44.920 --> 0:29:49.120
<v Speaker 4>Clara media reports suggest that the Informatica talks have broken

0:29:49.160 --> 0:29:53.080
<v Speaker 4>down with Salesforce. Maybe Salesforce is back on the hunt.

0:29:53.240 --> 0:29:55.880
<v Speaker 4>You know, from an M and A perspective, you lead

0:29:55.960 --> 0:29:59.640
<v Speaker 4>the AI teams at Salesforce. How are you thinking about

0:30:00.120 --> 0:30:03.040
<v Speaker 4>using acquisitions to build out your AI offering?

0:30:04.280 --> 0:30:06.560
<v Speaker 12>Now I'm not able to comment on that, but what

0:30:06.640 --> 0:30:10.760
<v Speaker 12>I can say is that we're seeing phenomenal explosive growth

0:30:10.880 --> 0:30:13.520
<v Speaker 12>in our Salesforce data cloud and what that does is

0:30:13.520 --> 0:30:17.280
<v Speaker 12>it allows customers to bring together all of their trapped

0:30:17.360 --> 0:30:20.320
<v Speaker 12>siloed data from across the enterprise. You think about you know,

0:30:20.360 --> 0:30:23.920
<v Speaker 12>for any business of even a small business, has multiple

0:30:23.920 --> 0:30:28.560
<v Speaker 12>different systems, multiple databases, data warehouses, and data lakes. And

0:30:28.600 --> 0:30:32.000
<v Speaker 12>now we're able to connect that data in a seamless manner.

0:30:32.200 --> 0:30:32.560
<v Speaker 1>And if a.

0:30:32.560 --> 0:30:36.960
<v Speaker 12>Customer is using a Snowflake or a Microsoft Fabric or

0:30:37.000 --> 0:30:40.680
<v Speaker 12>an Amazon Google Big Query, they're able to bring all

0:30:40.720 --> 0:30:44.239
<v Speaker 12>of that data, harmonize it, cleanse it, and activate that

0:30:44.320 --> 0:30:47.880
<v Speaker 12>for use by all of their sales, service marketing and

0:30:47.920 --> 0:30:48.640
<v Speaker 12>merchant teams.

0:30:49.560 --> 0:30:52.520
<v Speaker 4>Salesforce AI CEO Clarocy. Great to have you back on

0:30:52.800 --> 0:30:55.280
<v Speaker 4>the program. Thank you. Let's get back to the breaking

0:30:55.320 --> 0:30:58.160
<v Speaker 4>news from the United Kingdom. The BBC is reporting that

0:30:58.200 --> 0:31:01.640
<v Speaker 4>Prime Minister Rihi soun Act is currently informing his cabinet

0:31:01.920 --> 0:31:06.160
<v Speaker 4>of his intention to hold a general election on July fourth,

0:31:06.480 --> 0:31:10.120
<v Speaker 4>and that Parliament will be dissolved next week. Of course,

0:31:10.360 --> 0:31:14.040
<v Speaker 4>when the parliament is dissolved, it's the official term we

0:31:14.160 --> 0:31:16.280
<v Speaker 4>use for the end of a parliament, and legally a

0:31:16.360 --> 0:31:19.920
<v Speaker 4>general election must follow. The pound in the currency markets

0:31:19.960 --> 0:31:23.360
<v Speaker 4>relatively stable following all these headlines. In the bomb market's

0:31:23.480 --> 0:31:26.720
<v Speaker 4>guilts also steady. The expectation you're looking at a live

0:31:26.760 --> 0:31:30.400
<v Speaker 4>shot of number ten Downing Street. Many media outlets reporting

0:31:30.440 --> 0:31:32.880
<v Speaker 4>that we will get a statement from Prime Minister Rishi

0:31:32.960 --> 0:31:36.680
<v Speaker 4>Sunak of the Conservative Party at some point today. Stay

0:31:36.680 --> 0:31:38.440
<v Speaker 4>with us, we will have all of the latest. This

0:31:38.480 --> 0:31:52.160
<v Speaker 4>is Bloomberg Technology Scaled AI, as startup that helps top

0:31:52.160 --> 0:31:55.880
<v Speaker 4>tech companies improve data used to build AI products, is

0:31:55.960 --> 0:31:59.160
<v Speaker 4>raising one billion dollars in one of the largest financing

0:31:59.160 --> 0:32:01.720
<v Speaker 4>deals of the year. The funding round now values the

0:32:01.760 --> 0:32:05.520
<v Speaker 4>company nearly fourteen billion dollars. Joining us is Alexander Wang,

0:32:05.560 --> 0:32:08.320
<v Speaker 4>Scales founder and CEO. And I look at the new investors,

0:32:09.120 --> 0:32:12.520
<v Speaker 4>the venture arms of AMD, Intel, Cisco's in their Amazon.

0:32:13.360 --> 0:32:16.440
<v Speaker 4>What does that tell me? That's very interesting, this sort

0:32:16.440 --> 0:32:19.200
<v Speaker 4>of strategic backing you've got beyond just the size and

0:32:19.240 --> 0:32:20.040
<v Speaker 4>scope of the round.

0:32:21.720 --> 0:32:22.920
<v Speaker 1>First of all, thanks for having me.

0:32:23.400 --> 0:32:26.320
<v Speaker 13>I think one of the key things of our role

0:32:26.480 --> 0:32:28.840
<v Speaker 13>in the AI industry is that we really are an

0:32:28.880 --> 0:32:34.480
<v Speaker 13>infrastructure provider. The three pillars of AI ultimately are data, compute,

0:32:34.480 --> 0:32:35.280
<v Speaker 13>and algorithms.

0:32:35.560 --> 0:32:37.800
<v Speaker 1>Folks like open Ai solve.

0:32:37.600 --> 0:32:40.320
<v Speaker 13>The algorithmic piece, looks like in Nvidia solve the compute piece,

0:32:40.480 --> 0:32:43.400
<v Speaker 13>and our role at scale is to solve the data pillar.

0:32:43.560 --> 0:32:44.120
<v Speaker 1>For AI.

0:32:44.520 --> 0:32:48.640
<v Speaker 13>Our data foundry today powers nearly every leading large iguage model,

0:32:48.760 --> 0:32:52.040
<v Speaker 13>including those from Open Ei, Meta, Microsoft, and Video.

0:32:52.440 --> 0:32:55.440
<v Speaker 1>And so ultimately, one of our goals with this.

0:32:55.760 --> 0:32:58.200
<v Speaker 13>Financing ground was really to ensure that we can continue

0:32:58.280 --> 0:33:01.200
<v Speaker 13>serving the entire AI eCos system. So you look at

0:33:01.200 --> 0:33:03.920
<v Speaker 13>a lot of the strategic and corporate investors that we

0:33:04.000 --> 0:33:06.400
<v Speaker 13>brought on board, it really was to sort of bring

0:33:06.440 --> 0:33:09.600
<v Speaker 13>together the entire ecosystem and multiple layers of the stack.

0:33:09.680 --> 0:33:11.720
<v Speaker 1>So this includes other folks.

0:33:11.400 --> 0:33:15.080
<v Speaker 13>In the kind of infrastructure layer folks like Nvidia and

0:33:15.280 --> 0:33:18.520
<v Speaker 13>the Intel, as well as folks in the model layer,

0:33:18.680 --> 0:33:21.520
<v Speaker 13>folks like Amazon or Meta, and then lastly folks of

0:33:21.560 --> 0:33:24.280
<v Speaker 13>the application layer, folks like Cisco or service Now. And

0:33:24.320 --> 0:33:27.200
<v Speaker 13>so our goal ultimately was to ensure that we can

0:33:27.240 --> 0:33:29.000
<v Speaker 13>continue serving the entirety of the.

0:33:28.960 --> 0:33:31.800
<v Speaker 1>AI ecosystem as a level infrastructure.

0:33:31.320 --> 0:33:35.600
<v Speaker 13>Provider by sort of like bringing together the entire cobord.

0:33:36.360 --> 0:33:37.960
<v Speaker 5>What about Google or Microsoft?

0:33:37.960 --> 0:33:40.800
<v Speaker 3>Are they interested is that for the later dates or

0:33:41.040 --> 0:33:43.080
<v Speaker 3>can we only go with a certain number of each

0:33:43.080 --> 0:33:45.000
<v Speaker 3>player on each system?

0:33:45.600 --> 0:33:48.440
<v Speaker 13>You know, it's always it's always like hurting cats with

0:33:48.520 --> 0:33:51.160
<v Speaker 13>these with these with these corporations. But we're you know,

0:33:51.600 --> 0:33:54.680
<v Speaker 13>our goal is to continue serving the entire ecosystem. We

0:33:54.720 --> 0:33:57.480
<v Speaker 13>want to ensure that artificial intelligence on the whole is

0:33:57.520 --> 0:34:02.040
<v Speaker 13>able to is able to accomplish the incredible potential you know,

0:34:02.120 --> 0:34:04.960
<v Speaker 13>our data engine. Our goal with our data engine is

0:34:05.000 --> 0:34:07.800
<v Speaker 13>to generate all the frontier data needed to fuel us

0:34:07.840 --> 0:34:10.000
<v Speaker 13>to AGI and potentially even beyond.

0:34:10.040 --> 0:34:11.920
<v Speaker 1>You know, our view, one of the ways we think.

0:34:11.760 --> 0:34:14.120
<v Speaker 13>About it is, what are all the problems in data

0:34:14.160 --> 0:34:16.080
<v Speaker 13>then need you be solved to get us from GPD

0:34:16.160 --> 0:34:18.480
<v Speaker 13>four to GPD ten, And how do we ensure that

0:34:18.480 --> 0:34:20.160
<v Speaker 13>we have the needs of production to do all of that?

0:34:20.640 --> 0:34:23.239
<v Speaker 3>And let's talk about the means of production, about the

0:34:23.400 --> 0:34:26.399
<v Speaker 3>action of labeling such data, because I know that you've

0:34:26.560 --> 0:34:29.239
<v Speaker 3>really been thinking a lot about AI safety, the development

0:34:29.320 --> 0:34:32.080
<v Speaker 3>the biases, ensuring that that's something that's thought about within

0:34:32.120 --> 0:34:33.600
<v Speaker 3>your business and the moods that you serve.

0:34:34.000 --> 0:34:35.640
<v Speaker 5>But there was a lot of concern back.

0:34:35.520 --> 0:34:38.440
<v Speaker 3>In twenty twenty three about who you employ to label

0:34:38.560 --> 0:34:40.799
<v Speaker 3>data and a lot of that work being done in

0:34:40.840 --> 0:34:43.120
<v Speaker 3>the so called global self. How you're paying them, at

0:34:43.120 --> 0:34:45.520
<v Speaker 3>what rate you're paying them. How is that being solved

0:34:45.520 --> 0:34:46.560
<v Speaker 3>now by technology?

0:34:46.560 --> 0:34:51.920
<v Speaker 13>Alexander, Yeah, Ultimately, you know, we believe that the future

0:34:51.920 --> 0:34:56.560
<v Speaker 13>of AI data rests on three principles data abundance, frontier data,

0:34:56.600 --> 0:34:59.440
<v Speaker 13>and measurement and evaluation. In terms of abundance, I mean,

0:34:59.440 --> 0:35:02.640
<v Speaker 13>I think this is one of the clearer areas. We

0:35:02.680 --> 0:35:04.560
<v Speaker 13>need to ensure that we are able to build a

0:35:04.600 --> 0:35:06.399
<v Speaker 13>data foundry that ushers.

0:35:06.080 --> 0:35:10.280
<v Speaker 1>In an era of data abundance. You know, these models are.

0:35:10.200 --> 0:35:13.879
<v Speaker 13>Becoming increasingly data hungry due to the scaling laws. Every

0:35:13.880 --> 0:35:17.560
<v Speaker 13>successive generation models requires exponentially more data, and we need

0:35:17.600 --> 0:35:21.080
<v Speaker 13>to ensure that we are able to build the systems

0:35:21.080 --> 0:35:23.520
<v Speaker 13>and the means of production that allows to not resign

0:35:23.520 --> 0:35:26.759
<v Speaker 13>ourselves to data scarcity. A lot of the key for

0:35:26.840 --> 0:35:29.520
<v Speaker 13>us comes into the second bullet point, though, frontier data.

0:35:29.640 --> 0:35:33.560
<v Speaker 13>As we develop progressively more and more powerful AI systems,

0:35:33.800 --> 0:35:37.160
<v Speaker 13>we need to be building frontier data, which is always

0:35:37.200 --> 0:35:41.200
<v Speaker 13>pushing the boundaries of AI capabilities towards you know, more

0:35:41.239 --> 0:35:46.280
<v Speaker 13>advanced areas such as complex reasoning agents, multimodality, multi linguality,

0:35:46.320 --> 0:35:51.360
<v Speaker 13>and more. This production of frontier data requires human experts

0:35:51.440 --> 0:35:53.600
<v Speaker 13>all around the world, and so you know, our view

0:35:53.640 --> 0:35:57.680
<v Speaker 13>is that humans and expertise are critical component of this

0:35:57.719 --> 0:35:58.680
<v Speaker 13>production process.

0:35:59.360 --> 0:36:02.680
<v Speaker 4>Alex Aram But August twenty nineteen, you were on a

0:36:02.800 --> 0:36:05.560
<v Speaker 4>previous iteration of this show, you were twenty two years

0:36:05.600 --> 0:36:08.160
<v Speaker 4>old and you've just done a one hundred million dollar

0:36:08.239 --> 0:36:11.800
<v Speaker 4>Series C. Fast forward to today, you've just announced the

0:36:11.840 --> 0:36:15.320
<v Speaker 4>European HQ in London, you've valued at fourteen billion dollars.

0:36:15.640 --> 0:36:16.279
<v Speaker 5>What's that like?

0:36:16.840 --> 0:36:17.520
<v Speaker 4>How do you feel?

0:36:19.600 --> 0:36:23.880
<v Speaker 13>You know, I think ultimately the most gratifying piece for

0:36:24.000 --> 0:36:26.080
<v Speaker 13>me and I think for the entire company has really

0:36:26.120 --> 0:36:28.799
<v Speaker 13>been how far AI has come in that timeframe. You know,

0:36:28.840 --> 0:36:33.080
<v Speaker 13>in twenty nineteen, it was the very primordial early days

0:36:33.080 --> 0:36:35.720
<v Speaker 13>of what's now called generator of AI. You know, even

0:36:36.000 --> 0:36:38.520
<v Speaker 13>on that program, we didn't talk at all about about

0:36:38.520 --> 0:36:40.680
<v Speaker 13>the exciting things that OPENING or other companies were doing.

0:36:40.719 --> 0:36:42.240
<v Speaker 1>We were talking about self driving cars.

0:36:42.400 --> 0:36:45.200
<v Speaker 13>If you fast forward today, we've gone from GPT two

0:36:45.520 --> 0:36:48.160
<v Speaker 13>to GPD four and beyond work four and four to

0:36:48.239 --> 0:36:48.960
<v Speaker 13>zero and beyond.

0:36:49.560 --> 0:36:51.600
<v Speaker 1>We have AI.

0:36:51.400 --> 0:36:54.279
<v Speaker 13>Systems that are significantly more capable, and I think we

0:36:54.320 --> 0:36:58.400
<v Speaker 13>see a path to AI really improving everyone's lives in

0:36:58.400 --> 0:37:00.640
<v Speaker 13>a way that was more of a pectoring back in

0:37:00.640 --> 0:37:03.040
<v Speaker 13>twenty nineteen. And so my hope is that, you know,

0:37:03.160 --> 0:37:05.600
<v Speaker 13>five years later, if I'm back on the show, that

0:37:05.760 --> 0:37:08.520
<v Speaker 13>you know, we can we're looking back on the technology

0:37:08.600 --> 0:37:11.640
<v Speaker 13>and seeing even further development in art fial intelligence, even

0:37:11.719 --> 0:37:17.240
<v Speaker 13>further application of the technology, even further impact from ultimately.

0:37:16.800 --> 0:37:19.359
<v Speaker 1>What we view is the most exciting technology of our time.

0:37:20.120 --> 0:37:22.920
<v Speaker 3>I have it sooner than five years time SCALEAI founder

0:37:22.960 --> 0:37:25.960
<v Speaker 3>and CEO Alexander Wang, thank you for joining us on

0:37:26.000 --> 0:37:28.600
<v Speaker 3>the latest funding news. Meanwhile, we've got more funding news

0:37:28.640 --> 0:37:31.759
<v Speaker 3>for you. And also in the world of artificial intelligence,

0:37:32.000 --> 0:37:35.000
<v Speaker 3>deep l announcing a three hundred million dollar investment today.

0:37:35.280 --> 0:37:37.640
<v Speaker 3>There's a two billion dollar valuation for the company that

0:37:37.680 --> 0:37:41.000
<v Speaker 3>provides AI language solutions and it's doing that too more

0:37:41.040 --> 0:37:41.399
<v Speaker 3>than one.

0:37:41.320 --> 0:37:42.480
<v Speaker 5>Hundred thousand customers.

0:37:42.680 --> 0:37:46.160
<v Speaker 3>H CEO and founder Jarek Kutilowski joins us now and

0:37:46.680 --> 0:37:49.560
<v Speaker 3>Eric tell us about DPL and what you're.

0:37:49.400 --> 0:37:50.920
<v Speaker 5>Providing to your enterprise clients.

0:37:50.920 --> 0:37:53.239
<v Speaker 3>Because there's been a lot of excitement about the translation

0:37:53.560 --> 0:37:56.279
<v Speaker 3>capabilities of the latest chat GVT four.

0:37:56.320 --> 0:37:57.360
<v Speaker 5>Oh how are you different?

0:37:59.000 --> 0:38:01.439
<v Speaker 14>I think thank you for having me. I think it's

0:38:01.480 --> 0:38:06.959
<v Speaker 14>amazing how translation actually is the first frontier at which

0:38:07.040 --> 0:38:09.759
<v Speaker 14>AI has been excelling since since quite a few years.

0:38:09.800 --> 0:38:13.160
<v Speaker 14>And DEEPEL has been found in twenty seventeen and we've

0:38:13.200 --> 0:38:17.400
<v Speaker 14>been kind of researching on how this translation technology can

0:38:17.480 --> 0:38:21.160
<v Speaker 14>be as reliable and accurate and on the point all

0:38:21.200 --> 0:38:24.120
<v Speaker 14>of the time so that it suits the needs of

0:38:24.200 --> 0:38:27.719
<v Speaker 14>the enterprises. It's really not about kind of translating this

0:38:27.920 --> 0:38:31.880
<v Speaker 14>menu in in a restaurant where you're in a foreign country.

0:38:32.400 --> 0:38:37.600
<v Speaker 14>It's really about enabling companies to just go and send

0:38:37.640 --> 0:38:41.440
<v Speaker 14>the emails to their customers in the respective languages of

0:38:41.800 --> 0:38:45.760
<v Speaker 14>those which those are speaking, and kind of really going

0:38:45.880 --> 0:38:49.680
<v Speaker 14>global as quickly as possible as they can with as

0:38:49.760 --> 0:38:51.400
<v Speaker 14>much efficiency as possible.

0:38:52.120 --> 0:38:55.480
<v Speaker 3>And so you have been managing to scale your business clients,

0:38:55.520 --> 0:38:58.839
<v Speaker 3>your government clients with this offering, and I'm interested as

0:38:58.880 --> 0:39:00.640
<v Speaker 3>to what they're for the new round the money will

0:39:00.640 --> 0:39:03.319
<v Speaker 3>be doing. How will you be beefing up? Is it

0:39:03.400 --> 0:39:06.080
<v Speaker 3>talent that you need right now? Is it marketing and

0:39:06.080 --> 0:39:09.040
<v Speaker 3>getting other companies to know your story?

0:39:09.480 --> 0:39:11.560
<v Speaker 14>I think it's it's it's basically all of that. I mean,

0:39:11.600 --> 0:39:14.160
<v Speaker 14>the company has been investing on all of those fronts.

0:39:14.560 --> 0:39:17.440
<v Speaker 14>We are really a company that is investing very heavily

0:39:17.480 --> 0:39:20.000
<v Speaker 14>on the research side. We're running our own models and

0:39:20.040 --> 0:39:22.920
<v Speaker 14>has been have been doing so since since the inception

0:39:23.040 --> 0:39:23.720
<v Speaker 14>of the company.

0:39:23.880 --> 0:39:25.399
<v Speaker 1>But at the same time, the.

0:39:25.360 --> 0:39:28.680
<v Speaker 14>Type of customers that we're working with all of those

0:39:28.800 --> 0:39:33.080
<v Speaker 14>enterprises that actually need this kind of technology, they need

0:39:34.120 --> 0:39:37.080
<v Speaker 14>to we need to work with them, We need to

0:39:37.239 --> 0:39:41.400
<v Speaker 14>enable them to use this brand new AI uh and

0:39:41.400 --> 0:39:44.439
<v Speaker 14>and help them and in doing so. And that's that's

0:39:44.480 --> 0:39:47.840
<v Speaker 14>that's a very large part of where our investments go to.

0:39:50.239 --> 0:39:54.279
<v Speaker 4>What are the challenges with building language AI. You know

0:39:54.480 --> 0:39:57.080
<v Speaker 4>you're keen underscore it's not just sort of simple translation,

0:39:57.760 --> 0:40:00.880
<v Speaker 4>but it must mean training based on multiple data sets

0:40:01.320 --> 0:40:04.359
<v Speaker 4>and calling on multiple data sets and the inference side.

0:40:04.440 --> 0:40:05.719
<v Speaker 4>Just explain the challenge.

0:40:06.920 --> 0:40:09.480
<v Speaker 14>Yeah, it's it's it's first and foremost, it's all about

0:40:09.480 --> 0:40:12.160
<v Speaker 14>the accuracy and the quality. I mean, you want to

0:40:12.160 --> 0:40:14.800
<v Speaker 14>be sure and you want to be confident that whenever

0:40:14.840 --> 0:40:17.960
<v Speaker 14>you're communicating, like the right point comes across. And it's

0:40:18.120 --> 0:40:21.360
<v Speaker 14>and it's really not only about this accuracy itself, but

0:40:21.400 --> 0:40:23.960
<v Speaker 14>it's also about the fluency of the of the language

0:40:24.160 --> 0:40:28.000
<v Speaker 14>you want to convince. You want to make sure that

0:40:28.040 --> 0:40:31.560
<v Speaker 14>you're being understood as a professional. And for that you

0:40:31.640 --> 0:40:34.840
<v Speaker 14>don't only need models that are great at getting the

0:40:34.920 --> 0:40:37.360
<v Speaker 14>facts right, but you also have to go beyond that

0:40:37.560 --> 0:40:40.480
<v Speaker 14>and have all of that language fluency in that. And

0:40:40.520 --> 0:40:43.840
<v Speaker 14>that is then that makes really of the research work

0:40:43.880 --> 0:40:47.720
<v Speaker 14>that goes both on the data side that goes into

0:40:47.719 --> 0:40:52.720
<v Speaker 14>the algorithms, but also into the feedback loop and making

0:40:52.760 --> 0:41:00.279
<v Speaker 14>sure that that our human editors, our translators are during

0:41:00.320 --> 0:41:02.799
<v Speaker 14>the quality of of whatever comes out of the of

0:41:02.840 --> 0:41:03.839
<v Speaker 14>the I models.

0:41:04.480 --> 0:41:07.400
<v Speaker 4>You're joining us from Cologne, Germany. We've just shown a

0:41:07.440 --> 0:41:10.360
<v Speaker 4>graphic with all of the customers that you have, thousands

0:41:10.440 --> 0:41:11.319
<v Speaker 4>and thousands of them.

0:41:11.360 --> 0:41:12.840
<v Speaker 1>Where are you growing fastest?

0:41:13.200 --> 0:41:14.360
<v Speaker 4>Are you making money?

0:41:14.360 --> 0:41:15.400
<v Speaker 1>What does growth look like?

0:41:16.840 --> 0:41:17.680
<v Speaker 2>Yeah, we are.

0:41:17.719 --> 0:41:20.000
<v Speaker 14>We are a global company from the very beginning on,

0:41:20.080 --> 0:41:22.959
<v Speaker 14>and I think that's that's that's pretty understandable given given

0:41:23.000 --> 0:41:25.239
<v Speaker 14>the product it is.

0:41:25.280 --> 0:41:27.200
<v Speaker 1>It is really truly one.

0:41:27.120 --> 0:41:30.000
<v Speaker 14>Of the one of the very international products out there,

0:41:30.440 --> 0:41:35.320
<v Speaker 14>and key markets for US are Germany, Japan, and the US,

0:41:35.520 --> 0:41:39.920
<v Speaker 14>so it can't be more distributed than that. But the

0:41:40.040 --> 0:41:43.640
<v Speaker 14>US is a is a pretty strong foothold for us

0:41:44.000 --> 0:41:47.239
<v Speaker 14>right now. We've we've just opened an office a few

0:41:47.239 --> 0:41:51.560
<v Speaker 14>months ago in Austin and and will be working more

0:41:51.600 --> 0:41:54.359
<v Speaker 14>and more with WES companies that want to expand their

0:41:54.360 --> 0:41:55.360
<v Speaker 14>footprint globally.

0:41:57.080 --> 0:42:00.320
<v Speaker 4>Dep l C and founder yere At Katilovski. Great to

0:42:00.360 --> 0:42:10.400
<v Speaker 4>have you on the program here on Bloomberg Technology. Do

0:42:10.480 --> 0:42:12.160
<v Speaker 4>you have a place in the AIPC market.

0:42:12.239 --> 0:42:13.040
<v Speaker 14>I'm back next year.

0:42:14.040 --> 0:42:16.400
<v Speaker 6>There's exactly there are a bunch of bunch of the

0:42:16.520 --> 0:42:21.920
<v Speaker 6>video GPUs and delpcs, del workstations. All of our GPUs

0:42:22.400 --> 0:42:25.239
<v Speaker 6>have the same tensor cores that are running in h

0:42:25.360 --> 0:42:28.160
<v Speaker 6>one hundreds in the cloud, and so every one of

0:42:28.200 --> 0:42:29.800
<v Speaker 6>our GPUs use.

0:42:29.760 --> 0:42:31.080
<v Speaker 14>AI to do its work.

0:42:31.719 --> 0:42:36.879
<v Speaker 8>AI, of course is going to transform gaming in video.

0:42:36.960 --> 0:42:40.319
<v Speaker 4>CEO Jensen Huang being saved by his mate Michael Dell

0:42:40.680 --> 0:42:44.080
<v Speaker 4>and I guess, Caro, the question is move beyond data centers.

0:42:44.080 --> 0:42:46.640
<v Speaker 4>When does a video getting the CPU game in PCs

0:42:46.680 --> 0:42:47.920
<v Speaker 4>and go for Intel's market.

0:42:48.360 --> 0:42:49.680
<v Speaker 5>That was just what I heard.

0:42:50.520 --> 0:42:52.600
<v Speaker 3>Come back next year to hear ed and I know

0:42:52.640 --> 0:42:54.239
<v Speaker 3>you will be back there next year. But now we

0:42:54.320 --> 0:42:56.520
<v Speaker 3>brace ourselves on what the earnings are like after the

0:42:56.560 --> 0:42:58.879
<v Speaker 3>bell today, Then can they eclipse what the market wants

0:42:58.920 --> 0:43:02.400
<v Speaker 3>to see and more than two hundred percent increase in revenue?

0:43:02.560 --> 0:43:03.359
<v Speaker 5>We wait, we watch.

0:43:03.440 --> 0:43:07.040
<v Speaker 3>We also anticipate a statement coming from UK Prime Minister

0:43:07.120 --> 0:43:09.800
<v Speaker 3>Rishi Sunak as soon as the next five minutes.

0:43:09.920 --> 0:43:13.520
<v Speaker 5>Tune in. This is the Bloomberg technology