WEBVTT - Nvidia’s New AI Offerings, Musk Buys More X Shares

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<v Speaker 1>From the heart of where innovation, money and power collide

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<v Speaker 1>in Silicon Valley and beyond. This is Bloomberg Technology with

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<v Speaker 1>Caroline Hide and Ed Ludlow.

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<v Speaker 2>Live from New York and Caroline Hyde and I'm Tim

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<v Speaker 2>Steinbeck in San Francisco.

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<v Speaker 3>This is Bloomberg.

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<v Speaker 4>Technology coming up in video.

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<v Speaker 5>CEO Jensen Wang unveils new AI chips and technology at

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<v Speaker 5>the company's annual Developer conference, but fails to wow investors

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<v Speaker 5>will have all the details. Plus China's ten Cent posts

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<v Speaker 5>its fastest revenue growth since twenty twenty three for the

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<v Speaker 5>company planning to ramp up AI spending and cloud flare

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<v Speaker 5>out with new cybersecurity products aimed to help safeguard against

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<v Speaker 5>AI vulnerabilities. Who speak with the CEO Matthew Prince a

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<v Speaker 5>first rechecking on these markets which are not all consumed

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<v Speaker 5>with AI but instead all consumed with the FED.

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<v Speaker 4>We're currently up eight.

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<v Speaker 5>Five ten percent on the Nasdaq one hundred, bouncing back

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<v Speaker 5>off what had been a significant sell off yesterday, and

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<v Speaker 5>overall we still contend with the macro forces versus the

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<v Speaker 5>micro on the points higher, though Apple doing well to

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<v Speaker 5>push the NASDAK one hundred higher so to is in

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<v Speaker 5>video when we go into that particular name.

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<v Speaker 4>As GtC continues, we're up nine tens percent.

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<v Speaker 5>Remember it fell three point four percent yesterday as Jenson

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<v Speaker 5>Wang took to the stage unveiling our whole host of

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<v Speaker 5>new AI improvements chips that move from the Blackwell Ultra

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<v Speaker 5>onto vira Ubin. We used to also get a new

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<v Speaker 5>scientist name for the next iteration, but tim it didn't

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<v Speaker 5>wow investors.

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<v Speaker 3>It feels it didn't.

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<v Speaker 6>There's always today and there's always the rest of the week.

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<v Speaker 6>From more on in video, Man Deep saying a Bloomberg

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<v Speaker 6>Intelligence joins us. Now Mandeep, there's this narrative emerging that

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<v Speaker 6>AI costs are just getting out of control. What did

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<v Speaker 6>we see yesterday? What did you see yesterday from Nvidia

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<v Speaker 6>said to customers, you're getting more value out of what

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<v Speaker 6>we're bringing you.

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<v Speaker 2>Well, one, there was a clear shift towards reasoning, and

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<v Speaker 2>you know the fact that he said reasoning requires one

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<v Speaker 2>hundred times more compute. So from that perspective, you know,

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<v Speaker 2>the demand trends seem to be reassuring coming from Nvidia,

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<v Speaker 2>and clearly they are ahead when it comes to you know,

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<v Speaker 2>the performance per what that everyone seems to be focused

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<v Speaker 2>on with these chips, and look, you could argue, you know,

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<v Speaker 2>there isn't a new end market on the horizon, even

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<v Speaker 2>though they announced, you know, the partnership with GM or

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<v Speaker 2>the Humanoids was part of the keynote as well. But

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<v Speaker 2>to me, it's still all about data centers and servers,

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<v Speaker 2>and they seem to have a very clear roadmap till

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<v Speaker 2>twenty twenty seven in terms of what kind of performance

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<v Speaker 2>improvements they're looking with the next version of their chips.

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<v Speaker 5>I think via Rubin expected to three x the improvements

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<v Speaker 5>on Blackwell Ultra. We get Feynman being the next name

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<v Speaker 5>for the future platform a focus. But look, analysts overall

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<v Speaker 5>once again declaring that the moat is strong, that maybe

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<v Speaker 5>eight years ahead of the competition. If you're talking to

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<v Speaker 5>certain hyperscalers, what more can you do to douce what's

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<v Speaker 5>currently in the valuation right now?

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<v Speaker 2>Well, so, if you look at the trajectory of Nvidia's numbers,

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<v Speaker 2>they've always moved to the upside because they have come

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<v Speaker 2>up with something new or you know, an additional customer

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<v Speaker 2>that is of the same ramp.

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<v Speaker 3>Up all time.

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<v Speaker 4>It's not new enough for that.

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<v Speaker 2>Well, so you have to look at the hyper scale investment,

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<v Speaker 2>and they are all developing their own A six. So

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<v Speaker 2>the fact that you have competition on the horizon, even

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<v Speaker 2>though Nvidia is way ahead of everyone else in terms

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<v Speaker 2>of performance, but you just can't rule out the fact

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<v Speaker 2>that A six are a real possibility. That's what Broadcom

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<v Speaker 2>called out, and to me, that competitive environment will get challenging.

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<v Speaker 2>And look, they made the pivot to reasoning after Deep Seek.

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<v Speaker 2>This wasn't six they're six months back. It was all

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<v Speaker 2>about pre training. The keynote this time around was all

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<v Speaker 2>about inferencing and reasoning. So they're very good at making

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<v Speaker 2>those pivots. But the fact is the market keeps evolving

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<v Speaker 2>and I think A six are still a real threat

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<v Speaker 2>when it comes to in video sales at the data

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<v Speaker 2>center level. Yes, it's a one trillion dollar market, but

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<v Speaker 2>who can give the assurance that it will be in

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<v Speaker 2>Vidia who captures most of that in market because your

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<v Speaker 2>competition is the four or five main hyperscalers that are

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<v Speaker 2>still looking to develop that ac.

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<v Speaker 4>Option frenemies continue.

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<v Speaker 5>Man Deep seeing of Blue meg Intelligence love having him. Meanwhile,

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<v Speaker 5>a wider investor look now at in Nvidia and some

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<v Speaker 5>of the others in the chip sector, Kim forrest A

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<v Speaker 5>Capital Partners CIO joins us and Kim. We mentioned how

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<v Speaker 5>their own clients are becoming their competitors. Not to mention

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<v Speaker 5>AMD still trying to be and also Ran in this space,

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<v Speaker 5>not to mention Intel really languishing. But can Invidia remain

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<v Speaker 5>the king when it comes to AI?

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<v Speaker 7>Well maybe I think it's a strong maybe there, and

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<v Speaker 7>maybe they do rule the hardware world or a lot

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<v Speaker 7>of it, because you know, there really is no substitute

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<v Speaker 7>right now. Here's the thing, though, human beings are incredibly inventive,

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<v Speaker 7>and in Nvidia, although they always trot out the fact

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<v Speaker 7>that they have software that developers may use, I think

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<v Speaker 7>the very largest developers that are using these chips are

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<v Speaker 7>writing their own software, not depending on KUDA.

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<v Speaker 8>So keep that in the.

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<v Speaker 9>Back of your mind.

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<v Speaker 7>But I believe what deep Seek has shown the investing

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<v Speaker 7>world is there's more than one way to skin a cat,

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<v Speaker 7>and just throwing really expensive chips and tons of chips

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<v Speaker 7>at a problem is not always the answer. So I'm

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<v Speaker 7>looking out there for innovation in the software world to

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<v Speaker 7>make the build out of a data center a little

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<v Speaker 7>less like key into developing AI in the future, software

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<v Speaker 7>less hardware Kim.

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<v Speaker 6>Do you think that the market has fully priced in

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<v Speaker 6>the impact of deep seek?

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<v Speaker 10>No?

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<v Speaker 7>Actually, and I think this is a really difficult area

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<v Speaker 7>to talk about AI without really nerding out. So let's

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<v Speaker 7>keep it at the fifty thousand foot level.

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<v Speaker 4>This is a show to not out on, Kim. This

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<v Speaker 4>is a show to net out on.

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<v Speaker 7>I'm just saying, okay, yeah, I'm yeah, okay, I'm trying

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<v Speaker 7>to restrain myself. But here's here's what I see is

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<v Speaker 7>the essential problem is there are limitations in the physical

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<v Speaker 7>world power. You know, how quickly you can build a

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<v Speaker 7>data center, how quickly you can build chips, the machines

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<v Speaker 7>that create these exotic chips, how quickly you can build that.

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<v Speaker 7>It's all, you know, a physical world problem. In many ways,

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<v Speaker 7>software is exactly what we've used in the past to

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<v Speaker 7>become more productive, and why not use it on AI itself,

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<v Speaker 7>to use these data centers that we already have and

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<v Speaker 7>rethink the software and the training, testing and validation kind

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<v Speaker 7>of exercises we do to build large language models. Why

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<v Speaker 7>not make that better by better software?

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<v Speaker 3>Crazy, Well, you have.

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<v Speaker 6>The background to nerd out on this, because before finance,

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<v Speaker 6>you spend more than a decade working on this stuff.

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<v Speaker 6>I mean this was twenty years ago, so you've been

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<v Speaker 6>thinking about this stuff for.

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<v Speaker 3>A long time.

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<v Speaker 6>But now, do the economics of inference work? Do the

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<v Speaker 6>economics of agentic models work right now?

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<v Speaker 7>I don't think so, because they're so expensive to build

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<v Speaker 7>and it doesn't look like people are lining up to

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<v Speaker 7>buy it. I mean, is it really that simple? I

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<v Speaker 7>think the answer is yes. I have not been convinced

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<v Speaker 7>that there is a strong enough problem that can be

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<v Speaker 7>easily identified and thus monetized in AI. I think it's

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<v Speaker 7>the future, absolutely, but I think that businesses who have

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<v Speaker 7>to put their assets at risk buying this stuff.

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<v Speaker 8>And then using it.

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<v Speaker 7>And remember a lot of language large language models are

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<v Speaker 7>eighty five to ninety five percent correct, and that is underwhelming.

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<v Speaker 7>You know, if you're going to build your business on

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<v Speaker 7>something that's incorrect, you know, fifteen to ten to fifteen

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<v Speaker 7>percent of the time. Yeah, these are real world problems

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<v Speaker 7>that we have to get unexcited about and fix. And

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<v Speaker 7>again my answer is software, because that's what I what

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<v Speaker 7>about my book. I know that that area, as opposed

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<v Speaker 7>to building better hardware, we'll.

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<v Speaker 4>Go to the software.

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<v Speaker 5>Go to the newly released open source software dynamo and look,

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<v Speaker 5>there's growing that that makes deep sinks are one thirty

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<v Speaker 5>x faster when you run this new open source software

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<v Speaker 5>being offered by n videos. So are they not adapting

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<v Speaker 5>quickly enough because it centainly feels as though they've gone

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<v Speaker 5>answer for everything.

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<v Speaker 8>Well, I think we really have to do is attack.

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<v Speaker 7>I mean, faster is better, right, But then how do

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<v Speaker 7>we stop wrong answers? That's where the humans have to

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<v Speaker 7>come in and kind of build stuff around that to

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<v Speaker 7>wall off the bad answers. And you know, whenever I

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<v Speaker 7>was doing this back in the late nineties, that's where

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<v Speaker 7>a lot of our time was spent on refining the models,

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<v Speaker 7>was to make sure that we weren't returning bad answers.

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<v Speaker 7>And I don't really see that as a focus. And

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<v Speaker 7>again I'm talking my book what I know, And it's

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<v Speaker 7>still a problem. That's the crazy thing, you know, thirty

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<v Speaker 7>years later, wrong answers are still a problem.

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<v Speaker 6>Kim forrest A Bocha Capital Partners is Kim always great

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<v Speaker 6>to check in with.

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<v Speaker 3>You appreciate you joining us today.

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<v Speaker 6>Meanwhile, as many as four hundred thousand in Vidio chips

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<v Speaker 6>are set to have a new home in the small

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<v Speaker 6>city of Abilene, Texas. It's the site of the first

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<v Speaker 6>data center complex, or open AI's Stargate infrastructure venture. According

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<v Speaker 6>to the developer the prom project, it will be completed

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<v Speaker 6>by mid twenty twenty six with support for hundreds of

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<v Speaker 6>thousands of AI chips, though no word yet on how

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<v Speaker 6>many chips have been committed to the project so far.

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<v Speaker 5>Caroline, coming up, we're talking connectivity and connectivity firm cloud

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<v Speaker 5>Flair introducing new AI tools to take on vulnerabilities. When

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<v Speaker 5>we're speaking with a CEO, Matthew Prince.

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<v Speaker 4>That's next. This is room meg Technology.

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<v Speaker 6>Cloud connectivity firm cloud Flare is in the midst of

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<v Speaker 6>its annual security Week, announcing a slew of new products,

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<v Speaker 6>including one to help safeguard against AI vulnerabilities. Here to

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<v Speaker 6>discusses cloud Flare CEO Matthew Prince. Matthew just announced cloud

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<v Speaker 6>Flare for AI this week. It essentially allows customers to

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<v Speaker 6>safely use and develop AI tech. Up to now, though,

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<v Speaker 6>what has been the problem, what has been the challenge?

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<v Speaker 3>What has been the vulnerability?

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<v Speaker 11>Thing that's really hard in the AI spaces, as your

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<v Speaker 11>last segment was talking about, is everyone's just rushing as

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<v Speaker 11>fast as possible everyone's bored is saying what are we

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<v Speaker 11>doing in AI? And everyone is trying to go as

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<v Speaker 11>fast as possible and what that means is mistakes get made,

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<v Speaker 11>Data that shouldn't leave your enterprise gets sucked.

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<v Speaker 9>Up into an AI model.

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<v Speaker 11>People, maybe you're using AI in a way which might

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<v Speaker 11>embarrass you or your firm. And what we've heard from

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<v Speaker 11>our customers is that they want guardrails, they want controls

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<v Speaker 11>to be able to make sure that even as they

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<v Speaker 11>go as fast as possible, they're not going to break anything,

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<v Speaker 11>which is really really important.

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<v Speaker 9>And so that's what we're launching with cloud Flare for AI, and.

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<v Speaker 11>We're really excited to see already customers using it to

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<v Speaker 11>make sure they can go as fast as possible but

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<v Speaker 11>not make those critical mistakes.

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<v Speaker 9>In the space of AI.

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<v Speaker 5>MAV you've got so many current security offerings already when

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<v Speaker 5>you think about web applications, firewalls of ability, API protection.

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<v Speaker 5>What's new here in terms of cloud Flare for AI.

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<v Speaker 5>Is it a new bundling thematic or is there really

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<v Speaker 5>new offerings coming?

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<v Speaker 11>You know, I think that it is a combination of

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<v Speaker 11>building on the foundation that we have where we can

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<v Speaker 11>process just vast amounts of data flowing through our systems,

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<v Speaker 11>do analysis do those controls? But then adding on top

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<v Speaker 11>of it, not just how are we looking for hackers,

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<v Speaker 11>how are we looking for threats?

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<v Speaker 9>But how are we actually looking for the ways.

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<v Speaker 11>That people might be using AI in a way that

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<v Speaker 11>might be embarrassing to a company, in a way that

0:12:19.600 --> 0:12:22.280
<v Speaker 11>might be revealing secrets that are there. And I think

0:12:22.440 --> 0:12:24.280
<v Speaker 11>part of what's powerful here is, yes, we have a

0:12:24.280 --> 0:12:27.640
<v Speaker 11>whole bunch of customers that care about keeping their use

0:12:27.640 --> 0:12:29.880
<v Speaker 11>of AI secure, but a lot of the AI companies,

0:12:29.920 --> 0:12:32.920
<v Speaker 11>in fact, most of the major AI companies also use Cloubler.

0:12:33.000 --> 0:12:34.560
<v Speaker 9>So we've been able to actually.

0:12:34.240 --> 0:12:36.800
<v Speaker 11>Integrate those two sides in a way that give you

0:12:36.880 --> 0:12:39.520
<v Speaker 11>a holistic offering and make sure that you can again

0:12:39.640 --> 0:12:41.960
<v Speaker 11>go as fast as possible with AI, but do it

0:12:41.960 --> 0:12:44.920
<v Speaker 11>in a way which is secure and has real guardrails.

0:12:44.840 --> 0:12:47.760
<v Speaker 5>That speed, that desire to get out in front. When

0:12:47.760 --> 0:12:50.559
<v Speaker 5>it comes to AI, many would cass as hype. Can

0:12:50.600 --> 0:12:53.040
<v Speaker 5>you just set the broader context here of whether you

0:12:53.080 --> 0:12:56.440
<v Speaker 5>think the AI hype is turning into AI productivity reality?

0:12:57.440 --> 0:12:57.640
<v Speaker 3>Yeah?

0:12:57.640 --> 0:13:00.880
<v Speaker 11>You know, I think there's anytime you have something which

0:13:00.920 --> 0:13:04.640
<v Speaker 11>is as disruptive a new technology is AI. There are

0:13:04.679 --> 0:13:06.959
<v Speaker 11>going to be a certain amount of money which is

0:13:07.000 --> 0:13:08.800
<v Speaker 11>spent on it, which is just lit on fire. And

0:13:08.840 --> 0:13:11.040
<v Speaker 11>I think that's just the reality that's there. But what

0:13:11.080 --> 0:13:13.400
<v Speaker 11>we're seeing is that there's real value which is being

0:13:13.480 --> 0:13:16.120
<v Speaker 11>created as well. And so even if we assume that

0:13:16.200 --> 0:13:19.880
<v Speaker 11>only one percent of what's being done today turns into value,

0:13:19.920 --> 0:13:22.520
<v Speaker 11>what we see from our customers, what we see from

0:13:22.520 --> 0:13:24.520
<v Speaker 11>the AI companies that are out there, is that that

0:13:24.559 --> 0:13:27.520
<v Speaker 11>one percent has the opportunity to have enormous returns. And

0:13:27.559 --> 0:13:29.959
<v Speaker 11>so again, I think anyone who's not doing at least

0:13:29.960 --> 0:13:33.240
<v Speaker 11>something experimenting in AI is probably missing the boat here.

0:13:33.640 --> 0:13:35.520
<v Speaker 11>And again I don't hear a lot of customers that

0:13:35.559 --> 0:13:38.760
<v Speaker 11>are saying, Gosh, we're going to shut down our AI efforts. Instead,

0:13:38.800 --> 0:13:41.400
<v Speaker 11>I think people are stepping on the accelerator, finding more

0:13:41.440 --> 0:13:43.439
<v Speaker 11>ways to use this. And again I think we have

0:13:43.480 --> 0:13:45.199
<v Speaker 11>to acknowledge some of this is going to be just

0:13:45.280 --> 0:13:47.240
<v Speaker 11>lighting money on fire, but a lot of it is

0:13:47.240 --> 0:13:49.600
<v Speaker 11>going to turn into real innovation over the long term.

0:13:50.640 --> 0:13:54.080
<v Speaker 6>Matthew and investors watching right now probably are wondering how

0:13:54.120 --> 0:13:56.880
<v Speaker 6>big of a business does this turn into. For cloud Flair,

0:13:56.960 --> 0:13:58.200
<v Speaker 6>what are you modeling internally?

0:14:00.000 --> 0:14:02.599
<v Speaker 11>Again, we don't forecast anything in particular, but what I

0:14:02.600 --> 0:14:04.880
<v Speaker 11>will say is customers are coming to us, and this

0:14:05.000 --> 0:14:08.360
<v Speaker 11>was a real demand that was driven by our customers

0:14:08.400 --> 0:14:11.200
<v Speaker 11>saying you are extremely well positioned to be able to

0:14:11.280 --> 0:14:12.360
<v Speaker 11>solve this problem.

0:14:12.440 --> 0:14:14.800
<v Speaker 9>This is something that we want and that we want

0:14:14.840 --> 0:14:15.400
<v Speaker 9>you to build.

0:14:15.640 --> 0:14:17.079
<v Speaker 11>And so I think that that gives us a lot

0:14:17.080 --> 0:14:19.520
<v Speaker 11>of confidence that as we invest in this space, that

0:14:19.680 --> 0:14:22.080
<v Speaker 11>is something where there will be real returns. It's something

0:14:22.080 --> 0:14:24.680
<v Speaker 11>that customers want, it's something that the largest enterprises are

0:14:24.720 --> 0:14:25.360
<v Speaker 11>realizing that.

0:14:25.320 --> 0:14:27.120
<v Speaker 9>They need that they can't just.

0:14:27.120 --> 0:14:31.240
<v Speaker 11>Go at the full throttle without those guardrails in place.

0:14:31.240 --> 0:14:33.320
<v Speaker 11>And because of the unique position that cloud Flairer is in,

0:14:33.560 --> 0:14:35.560
<v Speaker 11>we can deliver those guardrails and make sure that you

0:14:35.600 --> 0:14:36.640
<v Speaker 11>can use AI safely.

0:14:36.840 --> 0:14:39.800
<v Speaker 5>Because you're offering the platform to build to deploy the apps,

0:14:39.800 --> 0:14:42.440
<v Speaker 5>you're also offering the security. But paint a picture of

0:14:42.440 --> 0:14:44.600
<v Speaker 5>the ecosystem right now because people might be thinking, Okay,

0:14:44.640 --> 0:14:47.560
<v Speaker 5>your competitors are like AWS and fastly. But then there's

0:14:47.560 --> 0:14:50.240
<v Speaker 5>this deal with Google buying wiz and what that does

0:14:50.320 --> 0:14:53.800
<v Speaker 5>for overall security of infrastructure, cloud infrastructure.

0:14:53.840 --> 0:14:56.400
<v Speaker 4>Where do you fit in with cloud flair Matthew, I.

0:14:56.400 --> 0:14:58.320
<v Speaker 11>Mean those are all very different companies, and I think

0:14:58.320 --> 0:15:00.880
<v Speaker 11>the first thing to say is congratulate to the Whiz team.

0:15:00.880 --> 0:15:02.960
<v Speaker 11>It's incredibly hard to build companies, and the fact that

0:15:03.000 --> 0:15:06.400
<v Speaker 11>they so quickly generate build something that had enormous value

0:15:06.600 --> 0:15:08.440
<v Speaker 11>and we're able to sell it to Google, I think

0:15:08.720 --> 0:15:12.280
<v Speaker 11>is something that again deserves an incredible amount of tip

0:15:12.320 --> 0:15:14.360
<v Speaker 11>of the hat to them and what they're doing.

0:15:14.520 --> 0:15:17.000
<v Speaker 9>I think the fact that Google had to build Whiz.

0:15:16.920 --> 0:15:20.000
<v Speaker 11>Just shows how security has to be part of any

0:15:20.040 --> 0:15:22.560
<v Speaker 11>cloud platform, and cloud Flair really started with security, and

0:15:22.600 --> 0:15:25.240
<v Speaker 11>I think that's given us a huge advantage over over time.

0:15:25.520 --> 0:15:29.360
<v Speaker 11>Wiz is really great at identifying what an enterprise's security

0:15:29.400 --> 0:15:32.240
<v Speaker 11>vulnerabilities are. And what we're proud of at cloud Flair

0:15:32.320 --> 0:15:34.960
<v Speaker 11>is that we have actually been the solution once Wiz

0:15:34.960 --> 0:15:38.200
<v Speaker 11>that identified the problem to actually solving the security problem

0:15:38.240 --> 0:15:41.280
<v Speaker 11>behind the scenes, where they're recommending us as that solution.

0:15:41.360 --> 0:15:43.400
<v Speaker 9>Google's been a long term partner of cloud Flair. We

0:15:43.480 --> 0:15:44.480
<v Speaker 9>hope that will continue.

0:15:44.720 --> 0:15:46.840
<v Speaker 11>I expect that will continue over over time, and I

0:15:46.840 --> 0:15:49.720
<v Speaker 11>think integrating Whiz actually makes it make more sense for

0:15:49.760 --> 0:15:52.640
<v Speaker 11>them to be integrating closely with cloud Flair and being

0:15:52.680 --> 0:15:53.520
<v Speaker 11>able to deliver our.

0:15:53.400 --> 0:15:55.920
<v Speaker 9>Services as one seamless, offering some of.

0:15:55.840 --> 0:15:58.320
<v Speaker 5>The best as I perspective of the internet. Writ large,

0:15:58.320 --> 0:16:00.400
<v Speaker 5>we love having you on Matthew prints cloud flairer CEO.

0:16:00.560 --> 0:16:03.800
<v Speaker 4>Thanks so much, Tim I forgot well.

0:16:03.680 --> 0:16:05.280
<v Speaker 3>So I'm now for talking tech.

0:16:05.560 --> 0:16:09.240
<v Speaker 6>First up, Google launch Date redesigned version of its budget

0:16:09.280 --> 0:16:12.600
<v Speaker 6>Pixel phone, upgrading the chip and battery life weeks after

0:16:12.640 --> 0:16:15.880
<v Speaker 6>Apple's lower end iPhone sixteen went on sale. The new

0:16:15.880 --> 0:16:18.200
<v Speaker 6>Pixel nine A costs four hundred and ninety nine dollars,

0:16:18.320 --> 0:16:21.120
<v Speaker 6>in line with the price of last year's Pixel eight

0:16:21.200 --> 0:16:25.920
<v Speaker 6>A plus. Tesla was granted approval to begin carrying passengers

0:16:25.960 --> 0:16:29.560
<v Speaker 6>in California. The approval does not allow Tesla to offer

0:16:29.680 --> 0:16:33.040
<v Speaker 6>rides in autonomous vehicles, but a ride hailing business with

0:16:33.160 --> 0:16:36.360
<v Speaker 6>human drivers could pave the way for Tesla to eventually

0:16:36.400 --> 0:16:40.640
<v Speaker 6>introduce robotaxi service in the state where Weimo already operates

0:16:40.640 --> 0:16:44.960
<v Speaker 6>here in San Francisco, and Shaomi is working to expand

0:16:45.040 --> 0:16:48.640
<v Speaker 6>its production capabilities to meet demand. This comes after it

0:16:48.760 --> 0:16:51.800
<v Speaker 6>raised its twenty twenty five delivery target for evs to

0:16:51.840 --> 0:16:55.480
<v Speaker 6>three hundred and fifty thousand units, reflecting inroads into the

0:16:55.560 --> 0:16:59.720
<v Speaker 6>Chinese EV market. Shami Group Vice president and CFO A

0:17:00.120 --> 0:17:03.520
<v Speaker 6>Lamb joined a Bloomberg Television in an exclusive interview to

0:17:03.560 --> 0:17:04.199
<v Speaker 6>weigh in on this.

0:17:05.160 --> 0:17:08.320
<v Speaker 10>You see a couple of our evs right that, the

0:17:08.359 --> 0:17:11.200
<v Speaker 10>red one being the Strew seven, and then the yellow one,

0:17:11.200 --> 0:17:13.520
<v Speaker 10>which is something that we just launched, is our s

0:17:13.600 --> 0:17:16.080
<v Speaker 10>U seven Ultra, which we are start selling at a

0:17:16.119 --> 0:17:19.080
<v Speaker 10>starting price of over five hundred thousand RMP. We are

0:17:19.160 --> 0:17:23.159
<v Speaker 10>running one factory right now in Beijing which is fully

0:17:23.240 --> 0:17:25.879
<v Speaker 10>rammed up. We are working very hard to squeeze the

0:17:25.920 --> 0:17:29.080
<v Speaker 10>extra production volume out of that out of that factory.

0:17:29.440 --> 0:17:32.000
<v Speaker 10>But at the same time, obviously we need to continue

0:17:32.280 --> 0:17:43.960
<v Speaker 10>to expand our production capabilities by adding new production sites.

0:17:45.200 --> 0:17:48.000
<v Speaker 5>Ten Cent posted its fastest pace of revenue grows is

0:17:48.000 --> 0:17:51.040
<v Speaker 5>twenty twenty three revenue rising eleven percent for the three months.

0:17:50.960 --> 0:17:53.720
<v Speaker 4>Ending in December, and it also shed some light on

0:17:53.760 --> 0:17:54.840
<v Speaker 4>its AI ambitions.

0:17:55.240 --> 0:17:57.199
<v Speaker 5>Makes Henry ren joys us now for a breakdown and

0:17:57.240 --> 0:17:58.959
<v Speaker 5>ponymar are really setting out that they're kind of going

0:17:59.000 --> 0:18:00.800
<v Speaker 5>to do in AI what they did for gaming with

0:18:01.000 --> 0:18:02.800
<v Speaker 5>their own but also of the third parties.

0:18:04.640 --> 0:18:07.960
<v Speaker 12>Indeed, so so breakdown for results shows that the company

0:18:08.000 --> 0:18:10.800
<v Speaker 12>is doing pretty strong across it's all its business lines,

0:18:10.800 --> 0:18:14.200
<v Speaker 12>from gamings to social network of free chat as well

0:18:14.240 --> 0:18:17.159
<v Speaker 12>as the payment and fintech, but of course AI is

0:18:17.200 --> 0:18:21.240
<v Speaker 12>the key business focused for today, and the company said

0:18:21.240 --> 0:18:24.679
<v Speaker 12>that it made it so called emergency purchase of GPUs

0:18:24.760 --> 0:18:27.200
<v Speaker 12>in the fourth quarter because it was seeing a search

0:18:27.400 --> 0:18:30.440
<v Speaker 12>in AI demound. And indeed we're seeing this coming through

0:18:30.480 --> 0:18:32.280
<v Speaker 12>on the revenue side of things as well, because the

0:18:32.280 --> 0:18:36.520
<v Speaker 12>company said that it's AI cloud business double this revenue

0:18:36.560 --> 0:18:40.080
<v Speaker 12>in the fourth quarter. And just to give you a

0:18:40.160 --> 0:18:42.600
<v Speaker 12>sense of things in terms of how much the company

0:18:42.640 --> 0:18:44.879
<v Speaker 12>is spending on AI these days, the company said that

0:18:44.920 --> 0:18:49.240
<v Speaker 12>it's fourth quarter capital spending quadrupled from the same quarter

0:18:49.320 --> 0:18:52.000
<v Speaker 12>in twenty twenty three. So it really shows you the

0:18:52.200 --> 0:18:55.879
<v Speaker 12>urgency that the company is having in terms of catching

0:18:55.960 --> 0:18:59.000
<v Speaker 12>up on other Chinese big tech companies in terms of

0:18:59.280 --> 0:19:02.080
<v Speaker 12>you know, enhancing its AI capabilities.

0:19:03.400 --> 0:19:06.240
<v Speaker 6>Whomberg's Henry Wrenn joining us from London. Henry, good to

0:19:06.240 --> 0:19:09.159
<v Speaker 6>see you, Thanks so much. Meanwhile, Elon Musk invested a

0:19:09.160 --> 0:19:12.159
<v Speaker 6>one hundred and fifty million dollars to acquire more shares

0:19:12.240 --> 0:19:14.800
<v Speaker 6>in X last year at evaluation, approaching the price he

0:19:14.880 --> 0:19:18.000
<v Speaker 6>paid for the company's equity back in twenty twenty two.

0:19:18.359 --> 0:19:21.760
<v Speaker 6>Woomberg's Kurt Wagner joins us now with more Kurt, what's

0:19:21.800 --> 0:19:22.640
<v Speaker 6>the endgame here?

0:19:22.720 --> 0:19:25.000
<v Speaker 3>Does he just want to own the entire thing?

0:19:26.440 --> 0:19:29.439
<v Speaker 13>Yeah, I mean he already owns around seventy five percent

0:19:29.480 --> 0:19:32.240
<v Speaker 13>of X, So I'm not sure how much of this is.

0:19:32.280 --> 0:19:35.040
<v Speaker 13>You know, buying one hundred and fifty million more in

0:19:35.080 --> 0:19:37.679
<v Speaker 13>shares is not going to dramatically change his ownership. It

0:19:37.720 --> 0:19:39.760
<v Speaker 13>could be he was, you know, buying out somebody who

0:19:39.800 --> 0:19:42.600
<v Speaker 13>wanted out. I think more than that, it's it's perhaps

0:19:42.800 --> 0:19:47.480
<v Speaker 13>a signal, right that this company is still valued at

0:19:47.560 --> 0:19:50.520
<v Speaker 13>where he or close to where he purchased it. We

0:19:50.600 --> 0:19:53.639
<v Speaker 13>know they're out raising money right now from other investors,

0:19:53.640 --> 0:19:55.800
<v Speaker 13>and so maybe having that sale at the end of

0:19:55.840 --> 0:19:59.080
<v Speaker 13>last year sort of setting the benchmark, right, Like, if

0:19:59.119 --> 0:20:01.400
<v Speaker 13>Elon's willing to buy in close to what he paid

0:20:01.440 --> 0:20:04.040
<v Speaker 13>for it, maybe others should as well. So perhaps it

0:20:04.119 --> 0:20:06.240
<v Speaker 13>was a little bit more of a signal than anything.

0:20:07.160 --> 0:20:09.960
<v Speaker 5>The signal was an amazing deep dive by you and

0:20:10.000 --> 0:20:13.600
<v Speaker 5>other reporters into Kingdom Holdings and your report. That's a

0:20:13.640 --> 0:20:16.080
<v Speaker 5>Saudi investment firm that seems to where we got the

0:20:16.080 --> 0:20:18.720
<v Speaker 5>tip off that he was offering these sorts of prices

0:20:18.720 --> 0:20:19.440
<v Speaker 5>for the equity.

0:20:19.920 --> 0:20:22.760
<v Speaker 4>Overall, the business seems to be improving.

0:20:22.920 --> 0:20:26.480
<v Speaker 13>Right, Yeah, well that's that's sort of the narrative, and

0:20:26.520 --> 0:20:29.159
<v Speaker 13>there's signs that point to that, right. Number one, the

0:20:29.200 --> 0:20:31.000
<v Speaker 13>fact that they're out trying to raise at this forty

0:20:31.000 --> 0:20:34.480
<v Speaker 13>four billion dollar price tag is one sign we know,

0:20:34.760 --> 0:20:36.359
<v Speaker 13>and we've talked about this on the show, that the

0:20:36.400 --> 0:20:38.800
<v Speaker 13>banks that we're holding all of X's debt have been

0:20:38.800 --> 0:20:42.520
<v Speaker 13>able to sort of offload that at around the same

0:20:42.560 --> 0:20:44.960
<v Speaker 13>price at which they loaned it a couple of years ago.

0:20:45.440 --> 0:20:48.960
<v Speaker 13>And we have heard stories of advertisers returning. Now, I

0:20:49.000 --> 0:20:52.400
<v Speaker 13>will caution on the advertiser front, X and Elon are

0:20:52.440 --> 0:20:55.480
<v Speaker 13>also suing a bunch of advertisers, right, So there is

0:20:55.560 --> 0:20:57.639
<v Speaker 13>some fear out there in the market that, hey, if

0:20:57.680 --> 0:21:00.000
<v Speaker 13>we're not spending on X, we're sort of opening ourselves

0:21:00.040 --> 0:21:02.840
<v Speaker 13>up to a potential legal dispute with this company. Maybe

0:21:02.880 --> 0:21:05.359
<v Speaker 13>we throw them some money to avoid that. But yes,

0:21:05.400 --> 0:21:08.080
<v Speaker 13>there are some signs that, you know, perhaps things are

0:21:08.440 --> 0:21:11.920
<v Speaker 13>certainly better than they were, you know, six months ago.

0:21:12.680 --> 0:21:15.560
<v Speaker 6>Current you wrote the book on this, How is the

0:21:15.560 --> 0:21:18.600
<v Speaker 6>product change under Elon Musk's ownership. I mean, we've all

0:21:18.640 --> 0:21:20.800
<v Speaker 6>seen what the experience has been like, but how has

0:21:20.840 --> 0:21:22.040
<v Speaker 6>the product actually changed?

0:21:23.440 --> 0:21:25.159
<v Speaker 13>Yeah, I mean I can only speak for myself here,

0:21:25.200 --> 0:21:27.520
<v Speaker 13>but I would say the biggest thing is that the

0:21:27.680 --> 0:21:32.159
<v Speaker 13>news value of Twitter or now X, in my opinion,

0:21:32.160 --> 0:21:34.920
<v Speaker 13>has gone down right. I remember the first Trump presidency

0:21:34.960 --> 0:21:37.399
<v Speaker 13>how much news was coming out of that administration, and

0:21:37.480 --> 0:21:38.680
<v Speaker 13>Twitter was really like.

0:21:38.720 --> 0:21:39.919
<v Speaker 9>A must have for me.

0:21:41.080 --> 0:21:43.679
<v Speaker 13>I think the changes that Elon has made around verification,

0:21:43.880 --> 0:21:46.320
<v Speaker 13>I think the changes they made around the ranking has

0:21:46.480 --> 0:21:48.800
<v Speaker 13>just in my opinion, made it less useful as a

0:21:48.960 --> 0:21:53.240
<v Speaker 13>news venue, and especially it's been hightened to me, given

0:21:53.280 --> 0:21:55.240
<v Speaker 13>the fact that we're in this Trump you know, two

0:21:55.240 --> 0:21:58.000
<v Speaker 13>point zero presidency and we're seeing that news cycle again

0:21:58.080 --> 0:22:01.399
<v Speaker 13>pickup just like we did during the first time around.

0:22:01.600 --> 0:22:04.119
<v Speaker 13>I just don't feel like I'm getting news through X

0:22:04.119 --> 0:22:05.240
<v Speaker 13>in the way that I used.

0:22:05.080 --> 0:22:06.040
<v Speaker 9>To through Twitter.

0:22:06.080 --> 0:22:08.280
<v Speaker 13>And I think the verification thing in particular has a

0:22:08.280 --> 0:22:08.919
<v Speaker 13>lot to do with that.

0:22:09.320 --> 0:22:11.280
<v Speaker 5>I spy Battle for the burd just over your shoulder.

0:22:11.320 --> 0:22:13.760
<v Speaker 5>Brim bes Kote Wagner on the book, We thank you.

0:22:21.560 --> 0:22:23.800
<v Speaker 5>Welcome back to Bluemoge Technology. I'm Caroline Hide in New.

0:22:23.800 --> 0:22:26.560
<v Speaker 6>York and I'm Tim Stanoveeck in San Francisco.

0:22:26.640 --> 0:22:29.160
<v Speaker 5>It's checking on these Markets tim because gone a little

0:22:29.200 --> 0:22:31.480
<v Speaker 5>bit of a reprieve ahead of the FED. Of course,

0:22:31.480 --> 0:22:34.800
<v Speaker 5>two pm New York time, we get what is the

0:22:34.880 --> 0:22:38.440
<v Speaker 5>ultimate transcript? But then you get the press conference coming

0:22:38.600 --> 0:22:41.359
<v Speaker 5>from Jpower. What will you say about the overall economy?

0:22:41.359 --> 0:22:43.399
<v Speaker 5>Of of course, we're expecting no move in terms of rates,

0:22:43.560 --> 0:22:45.159
<v Speaker 5>but we're up nine tens percent as some of the

0:22:45.160 --> 0:22:46.240
<v Speaker 5>tech names catch a bid on.

0:22:46.240 --> 0:22:46.800
<v Speaker 4>The higher side.

0:22:46.800 --> 0:22:49.160
<v Speaker 5>Apple leaves the child in terms of points, but drill

0:22:49.200 --> 0:22:50.400
<v Speaker 5>into actual individual moves.

0:22:50.440 --> 0:22:51.879
<v Speaker 4>Apple at one point four percent.

0:22:51.640 --> 0:22:54.760
<v Speaker 5>Even as a European commission once again coming out strong

0:22:54.840 --> 0:22:58.640
<v Speaker 5>telling Apple to loosen its control over its iPhone operating

0:22:58.680 --> 0:23:00.959
<v Speaker 5>system to comply with the law law being also the

0:23:00.960 --> 0:23:03.800
<v Speaker 5>Digital Markets Act that they're warning Google about as well

0:23:03.800 --> 0:23:06.440
<v Speaker 5>to comply with and eduging that favors it's in house

0:23:06.480 --> 0:23:10.840
<v Speaker 5>services and prevents developers from offering alternatives, aside from, of course,

0:23:10.840 --> 0:23:11.840
<v Speaker 5>the App Store Playstore.

0:23:12.040 --> 0:23:13.080
<v Speaker 4>Move on and have a little.

0:23:12.840 --> 0:23:14.440
<v Speaker 5>Look at what's happening in terms of Meta though, because

0:23:14.480 --> 0:23:17.320
<v Speaker 5>Meta had been your outperformer of choice when it came

0:23:17.359 --> 0:23:19.639
<v Speaker 5>to mag seven so far this year, but finally it

0:23:19.760 --> 0:23:21.479
<v Speaker 5>tumbled into the red for year to date, and we're

0:23:21.520 --> 0:23:23.440
<v Speaker 5>off by another quarter of percent. This time Kathy would

0:23:23.560 --> 0:23:26.760
<v Speaker 5>seemingly uploading some shares she'd been buying them up all

0:23:26.800 --> 0:23:30.200
<v Speaker 5>through last year. But now we understand they've finally taken

0:23:30.240 --> 0:23:32.360
<v Speaker 5>some profit in that meta holding. But let's turn back

0:23:32.359 --> 0:23:34.760
<v Speaker 5>to the markets more broadly now, where please to welcome

0:23:34.800 --> 0:23:37.160
<v Speaker 5>j Jacobs, his US head of Thematic and Active ets

0:23:37.160 --> 0:23:37.720
<v Speaker 5>at black Frog.

0:23:38.000 --> 0:23:38.600
<v Speaker 4>And today is.

0:23:38.600 --> 0:23:41.480
<v Speaker 5>Such a case in point the macro kind of outweighs

0:23:41.640 --> 0:23:45.920
<v Speaker 5>the micro and fundamentals. In video CEO Jensen Wang cannot

0:23:46.040 --> 0:23:48.960
<v Speaker 5>catch the vibes back into his shares and into his

0:23:49.119 --> 0:23:51.960
<v Speaker 5>market capitalization until basically we hear more better Moon music

0:23:51.960 --> 0:23:52.480
<v Speaker 5>out of the fed.

0:23:52.800 --> 0:23:54.440
<v Speaker 14>Well, I think it's that at tension we're seeing, right,

0:23:54.560 --> 0:23:56.439
<v Speaker 14>is this an interest rate driven market? Or is this

0:23:56.480 --> 0:23:58.840
<v Speaker 14>a thematic driven market? And frankly, what we're seeing from

0:23:58.840 --> 0:24:02.119
<v Speaker 14>our investors this year is more thematic. The developments in AI,

0:24:02.240 --> 0:24:05.240
<v Speaker 14>the developments in geopolitics, that's what's driving a lot of

0:24:05.240 --> 0:24:06.200
<v Speaker 14>the investment this year.

0:24:06.240 --> 0:24:08.000
<v Speaker 3>This is why we've seen continued.

0:24:07.560 --> 0:24:11.000
<v Speaker 14>Inflows into AI ETFs like Arty from black Rock. It's

0:24:11.000 --> 0:24:12.600
<v Speaker 14>why we're seeing a lot of interest in areas like

0:24:12.640 --> 0:24:15.600
<v Speaker 14>infrastructure amid geopolitics. But not every day is the same.

0:24:15.640 --> 0:24:17.879
<v Speaker 14>We certainly see this tension playing out in real time.

0:24:18.080 --> 0:24:20.120
<v Speaker 14>Leaning a little bit more thematic this year, though.

0:24:21.760 --> 0:24:23.920
<v Speaker 5>That sounds an odds I would have thought for many

0:24:23.960 --> 0:24:25.760
<v Speaker 5>who feel that they might have lent in but they've

0:24:25.760 --> 0:24:28.680
<v Speaker 5>actually lost money. We started to see investors pull out,

0:24:28.720 --> 0:24:30.840
<v Speaker 5>in particular of some of the big winners, So you're

0:24:30.880 --> 0:24:33.840
<v Speaker 5>saying people are allocating towards them even though ultimately they're

0:24:33.840 --> 0:24:35.399
<v Speaker 5>in the rent for year today, that's right.

0:24:35.400 --> 0:24:38.200
<v Speaker 14>We've seen about fifty million come into our AI related ETFs.

0:24:38.200 --> 0:24:41.280
<v Speaker 14>That's AARTI, which is an index s based ETF around AI,

0:24:41.320 --> 0:24:43.640
<v Speaker 14>and then BAI, which is an actively managed fund where

0:24:43.640 --> 0:24:46.439
<v Speaker 14>we're picking winners within the AI space. So people are

0:24:46.440 --> 0:24:48.080
<v Speaker 14>buying the dip, and I think a lot of it

0:24:48.080 --> 0:24:49.040
<v Speaker 14>comes back to valuation.

0:24:49.359 --> 0:24:51.560
<v Speaker 4>Just feel like it when you're looking at individual names.

0:24:51.280 --> 0:24:53.080
<v Speaker 14>In the fun space, they are and if you look

0:24:53.080 --> 0:24:56.600
<v Speaker 14>at some of the valuations, you have these incredible AI companies,

0:24:56.640 --> 0:24:59.000
<v Speaker 14>some of the biggest, fastest growing that are trading at

0:24:59.000 --> 0:25:01.240
<v Speaker 14>the same pe as seventy five year old fast food

0:25:01.240 --> 0:25:05.160
<v Speaker 14>companies right now. So there is value in AI which

0:25:05.200 --> 0:25:07.320
<v Speaker 14>doesn't seem I wouldn't have said that three months ago,

0:25:07.359 --> 0:25:08.840
<v Speaker 14>but that's absolutely the case right now.

0:25:09.480 --> 0:25:11.399
<v Speaker 6>Yeah, it's surprising to hear you say that, because I

0:25:11.440 --> 0:25:13.280
<v Speaker 6>think a lot of people would argue a jay that

0:25:13.400 --> 0:25:17.880
<v Speaker 6>there's still by many measures, these are still very expensive stocks.

0:25:18.320 --> 0:25:23.960
<v Speaker 6>So where specifically are you arguing that there's value lost?

0:25:24.000 --> 0:25:25.919
<v Speaker 4>Audio? Oh, I don't think he can hear you.

0:25:26.000 --> 0:25:28.320
<v Speaker 5>But as we get the connection back again, Tim was

0:25:28.359 --> 0:25:31.040
<v Speaker 5>asking about where exactly you think you're seeing value where,

0:25:31.720 --> 0:25:34.160
<v Speaker 5>because you know, a twenty five twenty six times future

0:25:34.200 --> 0:25:37.000
<v Speaker 5>earnings for video still feels kind of expensive, even if

0:25:37.040 --> 0:25:40.120
<v Speaker 5>it is akin to a seventy five year old restaurant chain.

0:25:40.160 --> 0:25:42.640
<v Speaker 14>Well, I think it's what you're paying for that growth

0:25:42.760 --> 0:25:46.200
<v Speaker 14>Right in the in the absolute, twenty five times earning

0:25:46.240 --> 0:25:49.080
<v Speaker 14>sounds expensive, but when you get you know, earnings growth

0:25:49.080 --> 0:25:51.000
<v Speaker 14>that's you know, thirty percent a year. Right now, you're

0:25:51.000 --> 0:25:53.440
<v Speaker 14>seeing top line revenue growth in the high double digits.

0:25:53.680 --> 0:25:55.800
<v Speaker 14>That is so much far superior towards even the broader

0:25:55.840 --> 0:25:58.800
<v Speaker 14>technology sector, but even the S and P five SMP

0:25:58.840 --> 0:26:02.240
<v Speaker 14>five hundred. More broadly, generally speaking, you're seeing AI companies

0:26:02.240 --> 0:26:04.119
<v Speaker 14>grow twice the speed of the S and P five hundred.

0:26:04.200 --> 0:26:06.040
<v Speaker 14>So it's okay to pay a little bit more for

0:26:06.040 --> 0:26:08.160
<v Speaker 14>those valuations. If you expect to see the growth back

0:26:08.200 --> 0:26:08.520
<v Speaker 14>that up.

0:26:09.320 --> 0:26:12.200
<v Speaker 5>I suppose everyone was in on the hype and now

0:26:12.240 --> 0:26:14.879
<v Speaker 5>it becomes okay, I'm committed to the long term trajectory.

0:26:14.920 --> 0:26:17.280
<v Speaker 5>And Jens Welom did a good job at showing that

0:26:17.280 --> 0:26:19.320
<v Speaker 5>he's still building a moat, that still his company is

0:26:19.359 --> 0:26:21.200
<v Speaker 5>going to be there for the next eight or so years,

0:26:21.240 --> 0:26:24.480
<v Speaker 5>ahead of others, as many analysts would single out.

0:26:24.640 --> 0:26:26.600
<v Speaker 4>But I think in the here and now, people.

0:26:26.359 --> 0:26:29.840
<v Speaker 5>Are seeing an opportunity costume by investing in certain names.

0:26:30.000 --> 0:26:31.520
<v Speaker 4>Are you seeing it's spread out?

0:26:31.520 --> 0:26:33.919
<v Speaker 5>Are you seeing people okay, go, I'll back the energy

0:26:34.280 --> 0:26:37.200
<v Speaker 5>or I'll back in fact, the application of AI rather

0:26:37.240 --> 0:26:40.960
<v Speaker 5>than the infrastructure, the ultimate you know, picks and shovels

0:26:40.960 --> 0:26:42.080
<v Speaker 5>that we've seen committed to of.

0:26:42.080 --> 0:26:43.560
<v Speaker 9>Late, it is spreading up.

0:26:43.560 --> 0:26:45.959
<v Speaker 14>I think the picks and shovels theme is still very

0:26:46.040 --> 0:26:48.760
<v Speaker 14>much in vogue right now. You're seeing it with semiconductor companies.

0:26:48.760 --> 0:26:51.200
<v Speaker 14>You're seeing it with data centers and digital infrastructure where

0:26:51.200 --> 0:26:52.959
<v Speaker 14>there's just there's a shortage, there needs to be more

0:26:53.040 --> 0:26:53.680
<v Speaker 14>data centers.

0:26:53.720 --> 0:26:55.719
<v Speaker 4>Fact that we're just not seeing that in the share prices.

0:26:55.760 --> 0:26:59.280
<v Speaker 5>You've seen semiconductors absolutely obliterated this year but.

0:26:59.320 --> 0:27:01.320
<v Speaker 14>We're seeing in the vestment dollars where you have some

0:27:01.359 --> 0:27:03.960
<v Speaker 14>of the mag seven companies spending hundreds of billions of

0:27:04.000 --> 0:27:06.400
<v Speaker 14>dollars to build out this space. And so yes, markets

0:27:06.400 --> 0:27:07.880
<v Speaker 14>are volatile in the short term and the long term,

0:27:07.920 --> 0:27:10.800
<v Speaker 14>we see a lot of opportunity in aistill Digital infrastructure

0:27:10.840 --> 0:27:13.200
<v Speaker 14>is really the first area. I think the next area

0:27:13.240 --> 0:27:14.919
<v Speaker 14>of attention from the market is going to be on

0:27:14.960 --> 0:27:17.679
<v Speaker 14>the data companies. Who owns the unique data that's going

0:27:17.720 --> 0:27:20.119
<v Speaker 14>to have to feed into these large language models. Right now,

0:27:20.240 --> 0:27:22.480
<v Speaker 14>you could actually run out of data by next year

0:27:22.480 --> 0:27:24.760
<v Speaker 14>in terms of what is training these models. They're ingesting

0:27:24.800 --> 0:27:27.520
<v Speaker 14>so much data to get so much more powerful. That unique,

0:27:27.600 --> 0:27:29.360
<v Speaker 14>high quality data is going to be where a lot

0:27:29.359 --> 0:27:31.840
<v Speaker 14>of value lies. And then finally beyond that, I think

0:27:31.840 --> 0:27:34.680
<v Speaker 14>we're going to see really transformative industries really build around

0:27:34.760 --> 0:27:38.080
<v Speaker 14>artificial intelligence. But you're seeing the users the adopters. That's

0:27:38.119 --> 0:27:40.320
<v Speaker 14>where kind of in the back part of this decade,

0:27:40.320 --> 0:27:41.520
<v Speaker 14>I think we're going to see a lot of value

0:27:41.560 --> 0:27:42.320
<v Speaker 14>unlocked as well.

0:27:42.400 --> 0:27:44.440
<v Speaker 4>I'm interested as to where the fun flows are coming from.

0:27:44.520 --> 0:27:46.919
<v Speaker 5>Geographically, can you break it down, or even when it

0:27:46.920 --> 0:27:49.600
<v Speaker 5>comes to age groups, how are you seeing people allocate

0:27:49.640 --> 0:27:50.760
<v Speaker 5>towards the AI trade.

0:27:50.960 --> 0:27:52.760
<v Speaker 14>We don't get that much level of detail in the

0:27:52.760 --> 0:27:54.960
<v Speaker 14>ETF space, but I can say it's being broadly felt

0:27:55.040 --> 0:27:57.520
<v Speaker 14>right now. So you're absolutely seeing a combination of end

0:27:57.520 --> 0:28:00.400
<v Speaker 14>investors as well as financial advisors who have been looking

0:28:00.440 --> 0:28:02.240
<v Speaker 14>at the AI trade for a while and maybe even

0:28:02.240 --> 0:28:05.159
<v Speaker 14>telling their clients I'm not ready. The evaluations look a

0:28:05.200 --> 0:28:07.480
<v Speaker 14>little bit stretched. This thing's been on a run. Now

0:28:07.520 --> 0:28:09.800
<v Speaker 14>that it's pulled back this year in a pretty significant way,

0:28:10.040 --> 0:28:12.200
<v Speaker 14>they see it as the entry point for long term investing.

0:28:12.280 --> 0:28:15.320
<v Speaker 14>So we're seeing that pretty broadly across our investor base.

0:28:16.480 --> 0:28:18.960
<v Speaker 6>All right, black Rocks J Jacobs joining us there in

0:28:19.040 --> 0:28:22.400
<v Speaker 6>New York, Jay, thanks so much for joining us well.

0:28:22.400 --> 0:28:25.600
<v Speaker 6>Elon Musk's XAI and chip maker in Nvidia are joining

0:28:25.680 --> 0:28:28.959
<v Speaker 6>forces with Microsoft and black Rock to build thirty billion

0:28:29.000 --> 0:28:31.480
<v Speaker 6>dollars worth of AI infrastructure, mostly.

0:28:31.160 --> 0:28:31.800
<v Speaker 3>In the US.

0:28:32.280 --> 0:28:36.240
<v Speaker 6>The group also includes United Arab Emirates backed MGX and

0:28:36.320 --> 0:28:39.720
<v Speaker 6>plans to focus on data centers and energy infrastructure. Both

0:28:39.760 --> 0:28:43.280
<v Speaker 6>Microsoft and Blackrock have ties to XII rival open Ai,

0:28:43.600 --> 0:28:45.800
<v Speaker 6>which is part of a one hundred billion dollar AI

0:28:45.920 --> 0:28:49.800
<v Speaker 6>infrastructure plan Stargate. Caroline, I feel like I need some

0:28:49.840 --> 0:28:54.080
<v Speaker 6>sort of chart here to keep track of the strange bedfellows.

0:28:54.520 --> 0:28:58.560
<v Speaker 6>But I guess the opportunity brings somewhat frenemies together.

0:28:58.760 --> 0:29:01.680
<v Speaker 5>I mean, the whole well of the AI space seems

0:29:01.680 --> 0:29:04.280
<v Speaker 5>to be one built on frenemies, as is more broadly intecting.

0:29:04.360 --> 0:29:06.240
<v Speaker 5>But isn't it interesting that when we saw this Stargate

0:29:06.280 --> 0:29:09.520
<v Speaker 5>announcement in front of the White House, Microsoft wasn't there.

0:29:09.640 --> 0:29:11.840
<v Speaker 5>It seemed to be Open AI opening itself up to

0:29:12.280 --> 0:29:15.160
<v Speaker 5>deals with Oracle, but Microsoft them in there all along

0:29:15.440 --> 0:29:18.040
<v Speaker 5>with black Rock, really trying to integrate and ensure that

0:29:18.080 --> 0:29:21.000
<v Speaker 5>allocated dollars is going into data centers. And look, when

0:29:21.040 --> 0:29:22.840
<v Speaker 5>you see the news as we reported at the top

0:29:22.880 --> 0:29:27.040
<v Speaker 5>of the show, that four hundred thousand GPUs can be

0:29:27.360 --> 0:29:31.080
<v Speaker 5>honed in the Texas building that's currently happening by Stargate,

0:29:31.400 --> 0:29:33.360
<v Speaker 5>it does feel like the demand is still there for

0:29:33.400 --> 0:29:34.880
<v Speaker 5>all things that Jensen builds.

0:29:35.720 --> 0:29:38.320
<v Speaker 6>Yeah, the demand is certainly remarkable. And look, walt to

0:29:38.360 --> 0:29:40.600
<v Speaker 6>wait and see what we hear from Nvidia in the

0:29:40.600 --> 0:29:43.600
<v Speaker 6>coming week as GtC wraps up. But no question that

0:29:43.640 --> 0:29:45.960
<v Speaker 6>investment these companies are making, it's still happening.

0:29:46.160 --> 0:29:47.800
<v Speaker 5>Coming up though, we're going to talk about what it

0:29:47.800 --> 0:29:50.080
<v Speaker 5>takes a stand up from the crowded market for building

0:29:50.120 --> 0:29:53.360
<v Speaker 5>AI developer tools. Axcels Christin Nesmon is going to be

0:29:53.400 --> 0:29:55.920
<v Speaker 5>joining us and that it's all about Graphite for them.

0:29:56.000 --> 0:29:57.120
<v Speaker 4>This is blue Meg Technology.

0:30:09.480 --> 0:30:11.720
<v Speaker 6>Google has agreed to pay thirty two billion dollars to

0:30:11.800 --> 0:30:15.280
<v Speaker 6>buy cloud security startup Wiz. It's the most search giant

0:30:15.280 --> 0:30:18.080
<v Speaker 6>has ever paid in an acquisition and it's a big win.

0:30:18.000 --> 0:30:19.320
<v Speaker 3>For the backers of Wiz.

0:30:19.560 --> 0:30:23.680
<v Speaker 6>Joining us now is Bloomberg's Katie Roof Katie. We're learning

0:30:23.720 --> 0:30:27.160
<v Speaker 6>more about exactly how this deal came together. Even though

0:30:27.160 --> 0:30:28.760
<v Speaker 6>it was over a long period of time, it was

0:30:28.800 --> 0:30:30.520
<v Speaker 6>also just recently, really in.

0:30:30.440 --> 0:30:32.360
<v Speaker 3>The last week and a half or two weeks. What

0:30:32.360 --> 0:30:32.880
<v Speaker 3>do we know.

0:30:34.480 --> 0:30:35.000
<v Speaker 7>Exactly?

0:30:35.040 --> 0:30:39.480
<v Speaker 15>So, you know, the Google first express interests after hearing

0:30:39.520 --> 0:30:44.680
<v Speaker 15>the buzz about Wiz at RSA security conference last May,

0:30:45.320 --> 0:30:48.920
<v Speaker 15>and then you know, talks picked up last summer and

0:30:49.280 --> 0:30:53.320
<v Speaker 15>Wiz was not interested at all in selling at the time,

0:30:53.400 --> 0:30:56.240
<v Speaker 15>even though twenty three billion, you know, which was so

0:30:56.360 --> 0:30:58.520
<v Speaker 15>much money, especially for a company that it's time.

0:30:58.400 --> 0:30:59.320
<v Speaker 4>Is just four years old.

0:30:59.640 --> 0:31:03.640
<v Speaker 15>But what changed is the regulatory environment. There were people

0:31:03.720 --> 0:31:07.120
<v Speaker 15>involved with Wiz who were very concerned about you know,

0:31:07.200 --> 0:31:10.520
<v Speaker 15>another Adobe Figma type situation that you know, went on

0:31:10.800 --> 0:31:14.760
<v Speaker 15>with regulators and slowed the company down. And so you know,

0:31:14.960 --> 0:31:18.360
<v Speaker 15>there's a perception at least that this deal would be

0:31:18.400 --> 0:31:21.720
<v Speaker 15>more likely to get approved under the current administration. Of course,

0:31:21.760 --> 0:31:24.880
<v Speaker 15>that remains to be seen. And so yeah, really what

0:31:24.880 --> 0:31:28.600
<v Speaker 15>we understand is in the last week or so, Google's

0:31:28.640 --> 0:31:30.240
<v Speaker 15>persistence finally paid off.

0:31:30.520 --> 0:31:31.479
<v Speaker 4>It's interesting, isn't it.

0:31:31.480 --> 0:31:34.600
<v Speaker 5>We had the FDC chair Andrew Ferguson on the earlier

0:31:34.600 --> 0:31:36.160
<v Speaker 5>in the week saying, look, we're going to get out

0:31:36.160 --> 0:31:37.720
<v Speaker 5>of the way if we decide that we can't win

0:31:37.760 --> 0:31:41.120
<v Speaker 5>in court or can't bring an antitrust case. But ultimately

0:31:41.120 --> 0:31:44.920
<v Speaker 5>the still plowing ahead on other alphabet focused investigations.

0:31:45.560 --> 0:31:48.160
<v Speaker 4>When it comes to the speed of this particular set

0:31:48.160 --> 0:31:49.920
<v Speaker 4>of negotiations, boy it was fast.

0:31:49.960 --> 0:31:51.760
<v Speaker 5>It came together a week and a half, you say

0:31:51.760 --> 0:31:52.360
<v Speaker 5>here in New York.

0:31:54.000 --> 0:31:56.560
<v Speaker 15>Yeah, so we're hearing it's about that, you know, earlier

0:31:56.640 --> 0:32:00.000
<v Speaker 15>this month. Is our understanding is when talks picked up again.

0:32:00.080 --> 0:32:01.800
<v Speaker 15>And you know, if you even look at what wiz

0:32:01.880 --> 0:32:04.959
<v Speaker 15>was doing even as of January, they hired an IPO

0:32:05.080 --> 0:32:08.280
<v Speaker 15>ready CFO. They fully thought that they were going to

0:32:08.520 --> 0:32:10.400
<v Speaker 15>IPO at some point and they were.

0:32:10.280 --> 0:32:11.600
<v Speaker 8>Taking steps for that.

0:32:12.120 --> 0:32:15.200
<v Speaker 15>But yes, recently wiz was in the middle of a

0:32:15.240 --> 0:32:20.160
<v Speaker 15>funding round and changed course and decided they had, you know,

0:32:20.480 --> 0:32:24.080
<v Speaker 15>ten billion dollars more reasons to sell. There's the thirty

0:32:24.120 --> 0:32:26.880
<v Speaker 15>two billion that was announced, and there's also an additional

0:32:26.920 --> 0:32:31.640
<v Speaker 15>billion bonus, an employee retention bonus that they may receive.

0:32:32.680 --> 0:32:34.880
<v Speaker 6>Some real cash, not just for the founders, but also

0:32:34.880 --> 0:32:37.280
<v Speaker 6>for the venture capitalists who backed the company. Bloomberg's Katie

0:32:37.360 --> 0:32:40.120
<v Speaker 6>Roof joining us on that. Now it's time for our

0:32:40.200 --> 0:32:43.960
<v Speaker 6>VC spotlight. The market for AI developer tools is quickly

0:32:43.960 --> 0:32:47.400
<v Speaker 6>becoming crowded as more companies turned to AI generated code

0:32:47.560 --> 0:32:49.840
<v Speaker 6>for deeper look at this space. We're joined by Excel

0:32:49.880 --> 0:32:52.680
<v Speaker 6>partner Christine Esherman. Christine, good to have you on set

0:32:52.720 --> 0:32:56.440
<v Speaker 6>with us here in San Francisco. Excel just invested in

0:32:56.600 --> 0:33:00.120
<v Speaker 6>this fifty two million dollars Series B in a Graphite.

0:33:00.360 --> 0:33:02.320
<v Speaker 3>What is the opportunity that you see here?

0:33:02.600 --> 0:33:05.520
<v Speaker 16>Yes, well, thank you for having me, Tim. Yesterday we

0:33:05.520 --> 0:33:08.320
<v Speaker 16>announced our fifty two million dollars Series B in Graphite

0:33:08.360 --> 0:33:11.880
<v Speaker 16>dot dev. Graphite is an AI powered code review platform

0:33:12.160 --> 0:33:14.360
<v Speaker 16>and like you mentioned, I don't think it's any surprise

0:33:14.400 --> 0:33:16.600
<v Speaker 16>that the amount of code that's being generated has just

0:33:16.680 --> 0:33:20.160
<v Speaker 16>absolutely exploded in recent months, largely thanks to the success

0:33:20.160 --> 0:33:24.240
<v Speaker 16>of companies like Cursor and Windsurf and Copilot, And as

0:33:24.280 --> 0:33:27.320
<v Speaker 16>a result of all the activity and codegen there's just

0:33:27.360 --> 0:33:30.800
<v Speaker 16>been an increased emphasis on reviewing that code, testing it,

0:33:30.880 --> 0:33:31.560
<v Speaker 16>and deploying it.

0:33:31.640 --> 0:33:33.080
<v Speaker 8>And that's where Graphite fits.

0:33:33.120 --> 0:33:37.160
<v Speaker 16>In graphit's really the collaboration layer where human developers and

0:33:37.200 --> 0:33:39.600
<v Speaker 16>AI agents can collaborate on code changes.

0:33:39.760 --> 0:33:42.160
<v Speaker 6>So you mentioned it's a collaboration layer. But I think

0:33:42.160 --> 0:33:44.239
<v Speaker 6>when people hear about products such as this, they think

0:33:44.280 --> 0:33:44.960
<v Speaker 6>about their.

0:33:44.800 --> 0:33:47.040
<v Speaker 3>Own jobs being at risk.

0:33:47.480 --> 0:33:50.840
<v Speaker 6>How do you see this disrupting the engineer and the

0:33:50.880 --> 0:33:52.120
<v Speaker 6>software developer market.

0:33:52.360 --> 0:33:54.240
<v Speaker 16>Yeah, it's a really good question, and I think there's

0:33:54.280 --> 0:33:56.960
<v Speaker 16>a lot of conversation and a lot of people that

0:33:57.000 --> 0:33:59.760
<v Speaker 16>are saying, will the software developer cease to exist?

0:33:59.800 --> 0:34:01.920
<v Speaker 8>And what's the future of that career path?

0:34:02.440 --> 0:34:06.520
<v Speaker 16>Anecdotally, just across then Excel portfolio and across conversations that

0:34:06.560 --> 0:34:11.160
<v Speaker 16>I'm having with technology leaders in the enterprise, everybody is

0:34:11.200 --> 0:34:14.000
<v Speaker 16>trying to hire more and more software developers, and it's

0:34:14.000 --> 0:34:17.160
<v Speaker 16>actually a war for talent. That's largely due to the

0:34:17.200 --> 0:34:19.799
<v Speaker 16>fact that software developers can just be much more productive

0:34:19.880 --> 0:34:24.520
<v Speaker 16>with tools like Graphite. We're seeing incredible productivity gains and

0:34:24.680 --> 0:34:27.879
<v Speaker 16>companies are going multi product faster, and I actually think

0:34:27.880 --> 0:34:29.600
<v Speaker 16>that this is going to be an accelerant to the

0:34:29.640 --> 0:34:30.720
<v Speaker 16>software development career.

0:34:31.600 --> 0:34:33.799
<v Speaker 5>We talked about this being a crowded space when it's

0:34:33.800 --> 0:34:36.240
<v Speaker 5>actually coming to using AI to build code.

0:34:36.360 --> 0:34:37.799
<v Speaker 4>This is about assessing that code.

0:34:37.840 --> 0:34:40.320
<v Speaker 5>But there are other thought ups busily building in that direction.

0:34:40.400 --> 0:34:43.400
<v Speaker 5>I think if a person who helped build GitHub Copilot

0:34:43.640 --> 0:34:46.200
<v Speaker 5>is but the building pool side, how do you decide

0:34:46.200 --> 0:34:47.520
<v Speaker 5>that Graphite is a win a hit?

0:34:48.320 --> 0:34:49.719
<v Speaker 4>In what capacity will it win?

0:34:51.000 --> 0:34:53.279
<v Speaker 16>Yeah? Well, there's certainly a number of companies that are

0:34:53.360 --> 0:34:56.200
<v Speaker 16>vying to be the next multi billion dollar company in

0:34:56.520 --> 0:34:59.840
<v Speaker 16>the developer tool landscape. I personally think Graphite is you

0:35:00.320 --> 0:35:03.080
<v Speaker 16>in a number of ways. First and foremost, the team

0:35:03.120 --> 0:35:07.160
<v Speaker 16>is just absolutely exceptional. It's it's founded by three co founders, Merrill,

0:35:07.239 --> 0:35:11.000
<v Speaker 16>Thomas and Greg They all met while studying computer science

0:35:11.000 --> 0:35:14.000
<v Speaker 16>at Harvard, and they've just built an exceptional team in

0:35:14.280 --> 0:35:17.880
<v Speaker 16>culture in New York City. Secondly, this this team has

0:35:17.920 --> 0:35:18.560
<v Speaker 16>just been able to.

0:35:18.520 --> 0:35:20.800
<v Speaker 8>Move very fast and ship new features.

0:35:21.200 --> 0:35:26.359
<v Speaker 16>Yesterday they launched their standalone AI code review product called diamond,

0:35:26.920 --> 0:35:29.000
<v Speaker 16>and I think it's just really important to stay ahead

0:35:29.000 --> 0:35:31.759
<v Speaker 16>of the curve, constantly be iterated, iterating on.

0:35:32.080 --> 0:35:33.920
<v Speaker 8>Product, and Graphite is able to do that.

0:35:34.440 --> 0:35:36.840
<v Speaker 5>I'm gonna be a bit selfish here because this company

0:35:36.880 --> 0:35:39.000
<v Speaker 5>is based in New York, where I happened to sit,

0:35:39.320 --> 0:35:42.040
<v Speaker 5>and I just think of AI lab Cognition as well,

0:35:42.120 --> 0:35:44.759
<v Speaker 5>raising a ton of money, huge valuation, and that busy

0:35:44.760 --> 0:35:46.800
<v Speaker 5>actually trying to build an AI software engineer.

0:35:47.680 --> 0:35:50.000
<v Speaker 4>What's New York got thus? Is the West Coast?

0:35:51.280 --> 0:35:52.840
<v Speaker 8>Definitely? It's a It's a great question.

0:35:53.040 --> 0:35:55.959
<v Speaker 16>And at Excel we're global both in terms of where

0:35:55.960 --> 0:35:58.879
<v Speaker 16>our offices are and where we invest in companies. We've

0:35:58.920 --> 0:36:02.360
<v Speaker 16>long believed that great founders are everywhere across the globe,

0:36:02.719 --> 0:36:04.839
<v Speaker 16>and it's important for us to be able to find

0:36:04.840 --> 0:36:07.880
<v Speaker 16>those founders no matter where they're building their companies. Graph

0:36:07.960 --> 0:36:09.880
<v Speaker 16>it's unique and that they're in person five days a

0:36:09.920 --> 0:36:12.160
<v Speaker 16>week and really care about building a strong culture, and

0:36:12.200 --> 0:36:14.080
<v Speaker 16>I think that's given them an edge in this very

0:36:14.120 --> 0:36:14.879
<v Speaker 16>competitive time.

0:36:15.200 --> 0:36:20.040
<v Speaker 6>Your own portfolio companies include Graphite, Linear, Merge, Remote, and Headway.

0:36:20.880 --> 0:36:23.239
<v Speaker 6>What's exciting to you now as you look across the

0:36:23.280 --> 0:36:24.160
<v Speaker 6>startup landscape.

0:36:24.400 --> 0:36:26.520
<v Speaker 16>Yeah, Well, I'm having a ton of fun. I think

0:36:26.520 --> 0:36:29.160
<v Speaker 16>that there's no time like this when companies are just

0:36:29.200 --> 0:36:32.520
<v Speaker 16>growing so quickly and buyers just have so much willingness

0:36:32.560 --> 0:36:35.600
<v Speaker 16>to spend on technology. So it's been amazing just to

0:36:35.880 --> 0:36:38.680
<v Speaker 16>see the interest in enterprise technology.

0:36:38.160 --> 0:36:38.640
<v Speaker 4>As a whole.

0:36:39.760 --> 0:36:42.080
<v Speaker 16>But what I look for when making new investments in

0:36:42.400 --> 0:36:45.879
<v Speaker 16>consumer and enterprise and AI and and infrastructure is really

0:36:45.920 --> 0:36:49.359
<v Speaker 16>just phenomenal founders. This is a people business, and I'm

0:36:49.400 --> 0:36:51.759
<v Speaker 16>just so fortunate to be able to work with exceptional

0:36:51.800 --> 0:36:53.920
<v Speaker 16>founders across all those different companies.

0:36:54.040 --> 0:36:56.080
<v Speaker 6>But is there a type of technology right now that

0:36:56.120 --> 0:36:58.759
<v Speaker 6>you see on the horizon that's really exciting and you

0:36:58.760 --> 0:37:01.040
<v Speaker 6>want to get behind. We under staying that the people

0:37:01.440 --> 0:37:04.160
<v Speaker 6>make the companies, but the tech has to exist too.

0:37:04.400 --> 0:37:08.399
<v Speaker 16>For sure, and we've are seeing an incredible platform shift

0:37:08.480 --> 0:37:11.520
<v Speaker 16>right now. I mean, software development is entering a new paradigm,

0:37:11.560 --> 0:37:13.520
<v Speaker 16>and I think it's really important to just be paying

0:37:13.520 --> 0:37:18.040
<v Speaker 16>attention to all the different technology innovation. If history is

0:37:18.080 --> 0:37:19.919
<v Speaker 16>going to repeat itself, I think we're going to see

0:37:19.920 --> 0:37:24.120
<v Speaker 16>new winners across productivity, collaboration, and insecurity, and we're paying

0:37:24.120 --> 0:37:25.960
<v Speaker 16>close attention to all three of those areas.

0:37:26.080 --> 0:37:26.920
<v Speaker 4>Christina, I'm going to go.

0:37:26.960 --> 0:37:29.719
<v Speaker 5>Back to something you said that graph it's unique because

0:37:29.719 --> 0:37:31.280
<v Speaker 5>it's in the office five days a week.

0:37:31.440 --> 0:37:32.879
<v Speaker 4>Is that something you care about.

0:37:32.760 --> 0:37:37.040
<v Speaker 5>In person collaboration when ultimately engineers can be based anywhere

0:37:37.040 --> 0:37:37.600
<v Speaker 5>and what together?

0:37:38.840 --> 0:37:39.640
<v Speaker 8>Yeah, for sure.

0:37:39.760 --> 0:37:41.839
<v Speaker 16>So we work with companies that are in person and

0:37:41.880 --> 0:37:43.879
<v Speaker 16>also companies that are remote. And I think it really

0:37:43.920 --> 0:37:46.960
<v Speaker 16>depends on the subcategory that you're building in right now.

0:37:46.960 --> 0:37:50.040
<v Speaker 16>In developer tools specifically, I think it's really important for

0:37:50.360 --> 0:37:52.239
<v Speaker 16>teams to be able to move quickly and be in

0:37:52.280 --> 0:37:57.160
<v Speaker 16>person together. This market is moving so so so fast,

0:37:57.200 --> 0:37:59.719
<v Speaker 16>and like you mentioned, it's very competitive and we're waking

0:37:59.800 --> 0:38:01.920
<v Speaker 16>up every day to the companies that are raising hundreds

0:38:01.960 --> 0:38:04.799
<v Speaker 16>of millions of dollars, and in order to be able

0:38:04.800 --> 0:38:07.640
<v Speaker 16>to keep up, I think it is really important to

0:38:07.680 --> 0:38:09.640
<v Speaker 16>be in person together and to be able to pay

0:38:09.680 --> 0:38:12.440
<v Speaker 16>attention to everything that's going on in the competitive landscape.

0:38:12.719 --> 0:38:15.640
<v Speaker 5>Music to many of some of those in finance here

0:38:15.640 --> 0:38:17.800
<v Speaker 5>in New York, at least Christin Essamond Partner and Axel,

0:38:17.880 --> 0:38:19.920
<v Speaker 5>we thank you so much for joining us. Meanwhile, we

0:38:19.960 --> 0:38:21.920
<v Speaker 5>want to update you on a developing story outside of

0:38:21.920 --> 0:38:24.560
<v Speaker 5>the world of technology. President Trump says he just completed

0:38:24.680 --> 0:38:26.640
<v Speaker 5>a one hour phone call with Ukraine's leader.

0:38:27.120 --> 0:38:29.719
<v Speaker 4>Trump says the call with Zelinsky was very good.

0:38:30.200 --> 0:38:32.560
<v Speaker 5>I'll remember that the two presidents had a dramatic disagreement

0:38:32.600 --> 0:38:35.200
<v Speaker 5>to the White House recently. It resulted in Course Selinsky

0:38:35.239 --> 0:38:38.719
<v Speaker 5>being told to leave an interheriation in the relationship. Will

0:38:38.719 --> 0:38:41.279
<v Speaker 5>continue to monitor and bring you any more information from

0:38:41.280 --> 0:38:52.400
<v Speaker 5>that call. Adobe unveiling a new suite of product innovations

0:38:52.440 --> 0:38:56.200
<v Speaker 5>integrating AI to really help drive the customer experience. Please

0:38:56.239 --> 0:38:59.360
<v Speaker 5>to welcome Adobe Digital Media Business President David Wardwani to

0:38:59.440 --> 0:39:01.960
<v Speaker 5>the show and just tell us what is going to

0:39:02.000 --> 0:39:04.319
<v Speaker 5>be happening to a customer right now, How much are

0:39:04.320 --> 0:39:05.680
<v Speaker 5>they going to be interacting with agents?

0:39:05.680 --> 0:39:07.440
<v Speaker 4>What does it change in terms of their experience?

0:39:08.360 --> 0:39:09.760
<v Speaker 3>Thanks for having me on the show.

0:39:10.120 --> 0:39:13.799
<v Speaker 17>Yeah, it's been amazing having the world's biggest brands and

0:39:13.880 --> 0:39:17.959
<v Speaker 17>so many companies together talking about the evolution of how

0:39:18.080 --> 0:39:21.400
<v Speaker 17>creativity and how agentic an AI is going to change

0:39:21.640 --> 0:39:24.720
<v Speaker 17>what we call the content supply chain. And the question

0:39:24.800 --> 0:39:27.400
<v Speaker 17>here is around how do you create more content in

0:39:27.440 --> 0:39:31.880
<v Speaker 17>a personalized way to reach audiences with messages and content

0:39:31.920 --> 0:39:34.799
<v Speaker 17>that really resonates with them. So the entire show that

0:39:34.840 --> 0:39:37.880
<v Speaker 17>we are at an Adobe summit today has been really

0:39:37.920 --> 0:39:42.479
<v Speaker 17>around enabling enterprises to create more content at scale through

0:39:42.560 --> 0:39:46.680
<v Speaker 17>AI and agentic experiences that can create better engagement with

0:39:46.680 --> 0:39:47.360
<v Speaker 17>their customers.

0:39:47.920 --> 0:39:49.919
<v Speaker 4>Some of that is about interroperability as well.

0:39:49.960 --> 0:39:53.960
<v Speaker 5>You recently added Google's model example for users, where else

0:39:53.960 --> 0:39:54.719
<v Speaker 5>are you integrating?

0:39:54.719 --> 0:39:55.680
<v Speaker 4>Who else are you adding?

0:39:56.680 --> 0:39:56.919
<v Speaker 3>Yeah?

0:39:56.960 --> 0:39:59.759
<v Speaker 17>So, first of all, just so everyone understands, we have

0:40:00.920 --> 0:40:04.480
<v Speaker 17>the world's broadest set of AI models focused on creativity,

0:40:04.719 --> 0:40:08.319
<v Speaker 17>and we developed those models in a way that is

0:40:08.360 --> 0:40:11.640
<v Speaker 17>more controllable and toolable than anyone else in the world.

0:40:11.960 --> 0:40:15.160
<v Speaker 17>We also recognize that customers want to have a broad

0:40:15.200 --> 0:40:18.120
<v Speaker 17>set of models that have their own individual personalities, so

0:40:18.160 --> 0:40:22.120
<v Speaker 17>we announced partnerships with Google to bring the Google models

0:40:22.200 --> 0:40:25.600
<v Speaker 17>for both image and video in We also are working

0:40:25.640 --> 0:40:29.200
<v Speaker 17>with Flux. We're also working with a host of other

0:40:29.280 --> 0:40:32.719
<v Speaker 17>third party models, including Runway for video and these kinds

0:40:32.719 --> 0:40:35.560
<v Speaker 17>of things. So we're very excited about making sure that

0:40:35.600 --> 0:40:38.120
<v Speaker 17>Adobe becomes the one stop shop people can come to

0:40:38.600 --> 0:40:42.240
<v Speaker 17>for the most controllable AI models and the trusted partner

0:40:42.440 --> 0:40:45.719
<v Speaker 17>in terms of getting access to everything agentic and everything

0:40:45.960 --> 0:40:46.680
<v Speaker 17>AI based.

0:40:47.520 --> 0:40:50.759
<v Speaker 6>David, how does this affect pricing here? How can you

0:40:50.840 --> 0:40:52.920
<v Speaker 6>move the lever when it comes to pricing? Can you

0:40:53.000 --> 0:40:55.960
<v Speaker 6>keep pushing for more pricing increases because of what you're adding.

0:40:57.480 --> 0:41:00.520
<v Speaker 17>If you look at where we are, creativity is the

0:41:00.560 --> 0:41:04.400
<v Speaker 17>foundation of everything that is happening and change that's happening

0:41:04.440 --> 0:41:06.759
<v Speaker 17>in the world today when it comes to communication, whether

0:41:06.800 --> 0:41:11.440
<v Speaker 17>you're a business professional or a consumer, whether you're a

0:41:11.960 --> 0:41:15.239
<v Speaker 17>creative professional and needing to produce more content, whether you're

0:41:15.280 --> 0:41:17.720
<v Speaker 17>an enterprise trying to create a lot more scaled content

0:41:17.760 --> 0:41:21.759
<v Speaker 17>for personalized experiences, that foundation of creativity is what we

0:41:21.800 --> 0:41:24.600
<v Speaker 17>bring to the market. We are bringing a lot more

0:41:25.040 --> 0:41:29.320
<v Speaker 17>offerings around freemium offers and webin mobile to reach billions

0:41:29.320 --> 0:41:33.600
<v Speaker 17>of users at with business professionals and consumers. We're bringing

0:41:33.640 --> 0:41:36.480
<v Speaker 17>a lot more value to existing creative professionals where we

0:41:36.520 --> 0:41:39.359
<v Speaker 17>can bring in more tiers, and we're bringing a lot

0:41:39.400 --> 0:41:43.239
<v Speaker 17>more solution and value to enterprises. So across this entire ecosystem,

0:41:43.280 --> 0:41:46.600
<v Speaker 17>there's room to bring in more users, provide more value,

0:41:46.880 --> 0:41:48.799
<v Speaker 17>and drive more increased monetization.

0:41:49.560 --> 0:41:52.000
<v Speaker 6>Very briefly, can you just give us a timeline here

0:41:52.120 --> 0:41:56.760
<v Speaker 6>about achieving AI sales of one billion dollars. You've recently

0:41:56.760 --> 0:41:58.319
<v Speaker 6>disclosed a run rate of one hundred and twenty five

0:41:58.360 --> 0:42:01.239
<v Speaker 6>million dollars. You'll be able to that by November. How

0:42:01.239 --> 0:42:02.880
<v Speaker 6>long until AI sales reach a billion?

0:42:03.719 --> 0:42:06.400
<v Speaker 17>Well, first of all, we are already influencing billions of

0:42:07.160 --> 0:42:11.240
<v Speaker 17>dollars of Adobe business because AI is pervasive in everything

0:42:11.280 --> 0:42:13.360
<v Speaker 17>we do. But to your point, we also announced that

0:42:13.400 --> 0:42:16.360
<v Speaker 17>we have standalone value new products that have hit one

0:42:16.440 --> 0:42:18.880
<v Speaker 17>hundred and twenty five million today. We expect that to

0:42:18.960 --> 0:42:21.600
<v Speaker 17>double in the next nine months, and everything we see

0:42:21.640 --> 0:42:25.320
<v Speaker 17>shows a lot more acceleration in that space and those products,

0:42:25.440 --> 0:42:28.080
<v Speaker 17>so we're very bullish about that continue to grow and

0:42:28.120 --> 0:42:29.640
<v Speaker 17>actually accelerate in the years ahead.

0:42:30.080 --> 0:42:32.560
<v Speaker 5>David Willmanni great to catch up with you half the

0:42:32.600 --> 0:42:35.440
<v Speaker 5>heels of course of Adobe Summit. You're the Adobe Digital

0:42:35.480 --> 0:42:38.879
<v Speaker 5>Media Business President. Now that does it for this edition

0:42:39.040 --> 0:42:40.239
<v Speaker 5>bloembg Technology, you do.

0:42:40.239 --> 0:42:41.720
<v Speaker 4>Not want to forget to check out on podcasts.

0:42:41.719 --> 0:42:44.080
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0:42:43.719 --> 0:42:45.640
<v Speaker 4>On Apple, Spotify and iHeart.

0:42:46.280 --> 0:42:48.560
<v Speaker 5>Catch up on all the datus out of Adobe Summit,

0:42:48.880 --> 0:42:51.839
<v Speaker 5>out of GtC from video, and of course tune into

0:42:51.840 --> 0:42:53.520
<v Speaker 5>the FED special a little bit later as well.

0:42:53.560 --> 0:42:54.640
<v Speaker 4>This is bloombag Technology