WEBVTT - Palantir Soars and Salesforce Expands It’s AI Toolkit

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<v Speaker 1>From Marhart where 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 Carolin Hyde at Bloomberg's Wiltid quarters in New York

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<v Speaker 3>and I met Lolo in San Francisco.

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<v Speaker 4>This is Bloomberg Technology coming up.

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<v Speaker 5>Full coverage of tech earnings ahead.

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<v Speaker 3>Is of course palents, SOLS and unprecedented AI demand while

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<v Speaker 3>chipmakers struggle.

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<v Speaker 4>To wather it, the industry downturn, plus Salesforce expanding its

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<v Speaker 4>approach to the degenerative AI boom with a new set

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<v Speaker 4>of tools unveiled. Salesforce co president Sarah Franklin joins us

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<v Speaker 4>from the Tableau conference in Las Vegas.

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<v Speaker 3>And we talked the state of fundraising as the startup

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<v Speaker 3>UBI raises one hundred million dollars for AI powered car inspections,

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<v Speaker 3>and we speak to the co founder of RX three,

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<v Speaker 3>which is also raised one hundred and fifty million dollars

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<v Speaker 3>from athletes and celebrities for its second growth equity fund. First,

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<v Speaker 3>that's sort of the private money being raised. What's happening

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<v Speaker 3>with your publicly traded companies today? We're nervous, cautious, and

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<v Speaker 3>we see a bit of a pullback on the Nasdaq

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<v Speaker 3>grow off by six tenths percent at the moment.

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<v Speaker 5>This is all about worries about that debt.

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<v Speaker 3>Ceiling coming front and center for the United States investor,

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<v Speaker 3>but also what's happening in China. The worry about the

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<v Speaker 3>impart demand not being as strong as we anticipated, is

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<v Speaker 3>that global economy, one of the fire powers of the

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<v Speaker 3>global economy not returning to growth post COVID as quickly.

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<v Speaker 5>As we hoped.

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<v Speaker 3>Golden Dragon therefore off by two point seven percent, and

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<v Speaker 3>also anxiety around the regional banks once again front and

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<v Speaker 3>center were off by nine tenths of a percent.

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<v Speaker 5>So that's your macro picture.

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<v Speaker 3>Let's move on to what's happening in the world of crypto,

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<v Speaker 3>because today we see a little bit of caution.

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<v Speaker 5>Overall.

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<v Speaker 3>We're just off by about five tenths of a percent.

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<v Speaker 3>We've had volatility in the og that is bitcoin today.

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<v Speaker 3>Really this is more a story of where the dollar

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<v Speaker 3>direction of travel is ahead of that debt ceiling demarcle,

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<v Speaker 3>whether or not it's more about the crypto.

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<v Speaker 5>We're just taking a bit of a pause on crypto.

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<v Speaker 4>It feels on the day, ed Yeah, I'm afraid. The

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<v Speaker 4>earning story also putting a lot of pressure to the downside.

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<v Speaker 4>You take a look at PayPal lowering its margins outlook

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<v Speaker 4>for the year. We're going to dig into the details

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<v Speaker 4>around that later in the show. Lucid Group softer by

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<v Speaker 4>eight percent, basically reguiding to the low end of its

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<v Speaker 4>previously stated forecast. An automaker that's trying to catch up

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<v Speaker 4>with Tesla but not making a lot of progress. Global

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<v Speaker 4>Founderies again paying for the chip sector, seems to be

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<v Speaker 4>in place through the end of the year. We're going

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<v Speaker 4>to go to Bloomberg's Ian King, the guy you want

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<v Speaker 4>to talk to when it comes to semiconductors. Global Foundry

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<v Speaker 4>softer by five percent. The big name, the big mover

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<v Speaker 4>to the upside is Palenteer up around twenty percent so

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<v Speaker 4>far in Tuesday session, a couple of percentage points more,

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<v Speaker 4>and this is a stop that's heading for his biggest

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<v Speaker 4>jump since January twenty twenty one. They've shown their hand

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<v Speaker 4>with a new AI tool and talk about talks about

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<v Speaker 4>unprecedented demand for that AI tool during the earning school.

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<v Speaker 4>I want to get more on this story and bring

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<v Speaker 4>in Bloomberg's Lazette Champman, who's here with us in San Francisco.

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<v Speaker 4>The palentin AI tool is atte what is it? Hey there?

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<v Speaker 6>Yeah, you know, palent here had a Crackerjack quarter. It

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<v Speaker 6>had a surprise profit. It said it was going to

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<v Speaker 6>be profitable not only this current quarter but for the

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<v Speaker 6>entire year, and they had unprecedented demand for their AI platform,

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<v Speaker 6>which you know, as the CEO Alex Kark said, is

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<v Speaker 6>still under construction. They don't exactly have a pricing strategy,

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<v Speaker 6>but they are in conversations with hundreds of their hundreds

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<v Speaker 6>of their customers about incorporating this into their into their plans.

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<v Speaker 3>His turn of phrase, he's not shy of using sometimes

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<v Speaker 3>more controversial language.

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<v Speaker 5>He says in large language.

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<v Speaker 3>Models as a revolution that will raise ships and sinkshit

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<v Speaker 3>will raise ships and sink ships. I'm just I'm fascinated

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<v Speaker 3>by the fact how this sits with people ultimately about

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<v Speaker 3>generative AI studying in large language models helping us in

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<v Speaker 3>the battlefield, right.

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<v Speaker 6>I think that there's been a huge demand for that

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<v Speaker 6>based on the you know, in increased interest both from

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<v Speaker 6>you know, are the United States Department of Defense as

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<v Speaker 6>well as our allies, and so it's very much seen

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<v Speaker 6>as a critical asset in a software first defense scenario

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<v Speaker 6>given the rising tensions with China and Russia and others

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<v Speaker 6>that are not necessarily friendly to US interest. So there

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<v Speaker 6>is definitely a defense application. More than half of Palanteer's

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<v Speaker 6>revenue does come from the government sector, which includes not

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<v Speaker 6>only the Department of Defense and all of its branches,

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<v Speaker 6>but also those of our allies. So it's very much

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<v Speaker 6>geared toward a defense context, along with some commercial applications.

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<v Speaker 4>Well, so astonishing about this story. Yeah, the stocks up

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<v Speaker 4>twenty percent because of AI. Also surprise profit and no

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<v Speaker 4>one's really talking about.

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<v Speaker 5>It, right, Well, let's dig into that a little bit more.

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<v Speaker 2>It's a surprise profit.

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<v Speaker 6>And one of the things that I think that was

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<v Speaker 6>interesting was that they achieved this two years before they

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<v Speaker 6>originally said they would. Originally the plan was for them

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<v Speaker 6>to hit gap profitability by twenty twenty five. Now they're

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<v Speaker 6>saying that they will do it for this full year

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<v Speaker 6>and they will maintain profitability, will continuing to reorient all

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<v Speaker 6>of their resources. That's thousands of employees around building this

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<v Speaker 6>AI platform.

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<v Speaker 5>Absolutely extraordinary, I mean, big move on the stock.

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<v Speaker 3>Great to have Lizette breaking it all down on the

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<v Speaker 3>surprise profit side of the equation as well as all

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<v Speaker 3>in on AI as another company seems to be we

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<v Speaker 3>thank you so much for coming in and joining the show. Meanwhile,

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<v Speaker 3>let's turn to another key company that's out with earnings

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<v Speaker 3>and look, the share price is not having a similar reaction.

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<v Speaker 3>Global foundryes signaling weakness in its outlook on muted chip demand. More,

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<v Speaker 3>let's go out to really most in king, the king

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<v Speaker 3>of all things when it comes to our chip coverage

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<v Speaker 3>here in what do you make of what this is signaling?

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<v Speaker 5>More broadly, because we keep on waiting.

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<v Speaker 3>For there to be some sort of turnaround, Is in

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<v Speaker 3>any way Global Foundry is a bell weather for the sector?

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<v Speaker 7>Yeah, one hundred percent.

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<v Speaker 8>A good way to look at them is a smaller

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<v Speaker 8>version of TSNC through their customers. Effectively, they're in the

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<v Speaker 8>auto chip business, they're in the data center business, they're

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<v Speaker 8>in the mobile phone business. And the outlook that they

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<v Speaker 8>gave today unfortunately reflects a lot of what's been said

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<v Speaker 8>throughout this ending season and that's not particularly positive.

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<v Speaker 3>Next, therefore, are we tending to start to think we

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<v Speaker 3>can call a bottom on this? Did they in any

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<v Speaker 3>way say okay, this isn't looking good in the meantime,

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<v Speaker 3>in the here and the now, but we see some

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<v Speaker 3>sort of light at the end of the tunnel.

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<v Speaker 8>Yeah, No, it's a very good question. They're basically effectively

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<v Speaker 8>speaking out of both sides of their mouth, which a

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<v Speaker 8>lot of chip companies have been doing, which is and

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<v Speaker 8>what they've been saying is quarter one that was the worst,

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<v Speaker 8>that was the absolute bottom, and things will get better

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<v Speaker 8>from here. But things will not get better at the

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<v Speaker 8>rate we thought that they would. So that's obviously causing

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<v Speaker 8>some concern. Can we believe this kind of rose tinted

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<v Speaker 8>scenario for the second half of the year, And again

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<v Speaker 8>Global Foundery said, not looking as good as we thought

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<v Speaker 8>it had.

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<v Speaker 3>Just on the specifics here in what particular areas of

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<v Speaker 3>demand When you say it's like a good bell weather

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<v Speaker 3>or smaller ty SMC or whatever they likes, What particular

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<v Speaker 3>areas of demand are we so worried about smartphones?

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<v Speaker 7>Has got to be number one.

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<v Speaker 8>I mean, they effectively repeated what Qualcom said, which is,

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<v Speaker 8>China hasn't come back as quick as we thought. The

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<v Speaker 8>inventory that we said was going to be burned away

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<v Speaker 8>by the middle of the year looks like it's going

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<v Speaker 8>to be hanging around into the second half of the year,

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<v Speaker 8>So they're saying, Look, supply is kind of getting better,

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<v Speaker 8>that position is improving, but demand whereas demand.

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<v Speaker 3>It's interesting that when you in video was a big

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<v Speaker 3>drag today and indeed, as you've pointed out, sort of,

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<v Speaker 3>this has been a bit of a bell weather for

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<v Speaker 3>the entire ship sector on the day, and a video

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<v Speaker 3>actually hit at fifty two week high yesterday.

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<v Speaker 5>The areas are we going to get both bifurcated market?

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<v Speaker 3>Are we going to see the chip makers, designers that

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<v Speaker 3>are all in on AI doing well and those that

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<v Speaker 3>aren't languishing because they're consumer exposed.

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<v Speaker 7>Yeah, I mean that would appear to be the way

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<v Speaker 7>to look at it.

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<v Speaker 8>Look at the only green dot on my screen today

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<v Speaker 8>was AMD and that's definitely a play on the future

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<v Speaker 8>of AI and what investors are expecting to happen.

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<v Speaker 4>The Bloombergsie and King joining us out of San Francisco,

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<v Speaker 4>Salesforce expanding its approach to generative AI with the reimagined

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<v Speaker 4>version of its Tableau suite called Tableau GPT and also

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<v Speaker 4>Tableau Pulse for more ns. We welcome Salesforce co president

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<v Speaker 4>Sarah Franklin, who's coming to us from the Tableau conference

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<v Speaker 4>out in Las Vegas. Let's get straight to the why,

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<v Speaker 4>why is Salesforce doing this and why now?

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<v Speaker 9>So big picture, Salesforce has been a pioneer in AI

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<v Speaker 9>for over a decade. We created Einstein, which brought everyone

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<v Speaker 9>to have their own data.

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<v Speaker 2>Scientists about a decade ago, and now today.

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<v Speaker 9>We're delivering over a trillion prediction every week for all

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<v Speaker 9>of our hundreds of thousands of customers, which brought them

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<v Speaker 9>into AI. And now we've moved from predictive to generative,

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<v Speaker 9>and Salesforce, who has led every seismic shift and technology

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<v Speaker 9>from going to cloud, to mobile to social, we are

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<v Speaker 9>here right at the forefront leading all of our customers

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<v Speaker 9>into dinnerative AI with Tableau GPT and Tableau Pulse.

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<v Speaker 4>So, Sarah, you're out at the Tableau conference. The other

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<v Speaker 4>tool announced is Slack GPT. So the question is this

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<v Speaker 4>is this you trying to get Salesforce customers to use

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<v Speaker 4>the services of other things you've acquired in recent years.

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<v Speaker 9>So, Salesforce, we have an incredible suite across the entire

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<v Speaker 9>customer through sixty sales service marketing commerce lack has been

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<v Speaker 9>an incredible addition to our portfolio helping everyone have great

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<v Speaker 9>productive employees. And we ask ourselves a question, how do

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<v Speaker 9>you make every employee more productive? How do you make

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<v Speaker 9>every customer more happy? How do you provide incredible customer

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<v Speaker 9>service and sales and marketing and a fully integrated single.

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<v Speaker 2>Source of truth of your customers?

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<v Speaker 9>And so yes, by providing that entire suite of products

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<v Speaker 9>for our customers, they can all have better customers and

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<v Speaker 9>better employees. And it's really important that we give them

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<v Speaker 9>all of their data so they can unlock it and

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<v Speaker 9>really have that trusted customer and company data to use

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<v Speaker 9>generative AI and to have tabloa GPT really bring that

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<v Speaker 9>data to life for everyone that's involved in customer engagement.

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<v Speaker 4>Caroline data is really the key point, isn't it, Particularly

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<v Speaker 4>when we're talking about enterprise is a use case for

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<v Speaker 4>generative AI tools. There's an element of concern about the

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<v Speaker 4>data it's sourcing and how it's secure.

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<v Speaker 3>Yeah, and so to that point, you use trusted a

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<v Speaker 3>number of times there or single source of truth. Is

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<v Speaker 3>there any concern that generative AI does just make some

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<v Speaker 3>things up? If there is a hole in the private

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<v Speaker 3>data that this is being run on the so called

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<v Speaker 3>hallucinations and many people to take issue with that particular

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<v Speaker 3>turn of phrase, But is that happening? How do you

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<v Speaker 3>ensure that people are getting the right insights at the

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<v Speaker 3>right time.

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<v Speaker 9>Trust is absolutely paramount, As we've discussed just now, Every

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<v Speaker 9>company wants to have trusted data.

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<v Speaker 2>They need to know that they have their data is

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<v Speaker 2>being trusted.

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<v Speaker 9>Their customers expect them to trust them with their data

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<v Speaker 9>and salesforce at our core, we have always had trust

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<v Speaker 9>other number one value, and so having trusted data is

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<v Speaker 9>important because your AI is only as good as your data,

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<v Speaker 9>and so no company wants to bring hallucinations, as you say,

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<v Speaker 9>into the enterprise.

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<v Speaker 2>They need to know that they can trust the AI.

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<v Speaker 9>And that's why our approach is founded on trust and

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<v Speaker 9>we always have a human in the process because the

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<v Speaker 9>AI is here to help us, not to not to

0:11:46.160 --> 0:11:49.360
<v Speaker 9>replace us, and so that's so important that the data

0:11:49.520 --> 0:11:52.000
<v Speaker 9>is trusted, so that you can also trust the generative

0:11:52.080 --> 0:11:54.040
<v Speaker 9>AI that's being created from that data.

0:11:54.280 --> 0:11:57.200
<v Speaker 3>Interesting, so I'm feeling that you're on the AIS here

0:11:57.280 --> 0:12:00.800
<v Speaker 3>to augment us humans rather than take away our jobs.

0:12:00.880 --> 0:12:04.000
<v Speaker 3>But you are someone who's built your career on the

0:12:04.080 --> 0:12:07.600
<v Speaker 3>democratization of technology, or someone who's se passive passionate about

0:12:07.880 --> 0:12:10.640
<v Speaker 3>how with ease people can change.

0:12:10.360 --> 0:12:12.520
<v Speaker 5>From a blue collar job to a white college job.

0:12:12.480 --> 0:12:15.199
<v Speaker 3>Using, for example, the ways in which you've used trailheading

0:12:15.320 --> 0:12:19.079
<v Speaker 3>for example. But are you brought a picture here thinking

0:12:19.160 --> 0:12:22.520
<v Speaker 3>AI is going to inevitably take white college jobs at

0:12:22.559 --> 0:12:22.920
<v Speaker 3>the moment.

0:12:24.640 --> 0:12:27.760
<v Speaker 9>So I really want to look at generative AI as

0:12:27.760 --> 0:12:29.240
<v Speaker 9>an incredible opportunity for us.

0:12:29.600 --> 0:12:32.480
<v Speaker 2>It's really interesting when you rewind back in history and

0:12:32.600 --> 0:12:33.840
<v Speaker 2>you think of the first computer.

0:12:34.320 --> 0:12:37.599
<v Speaker 9>The first computer was a person, not a machine, and

0:12:37.679 --> 0:12:40.360
<v Speaker 9>there's a lot of fear that it would replace us

0:12:40.679 --> 0:12:44.280
<v Speaker 9>in our jobs. Fast forward to today, we don't have

0:12:44.559 --> 0:12:47.160
<v Speaker 9>enough skilled talent for all of the jobs that work

0:12:47.240 --> 0:12:50.720
<v Speaker 9>with computers and work in tech, and so we're already

0:12:50.800 --> 0:12:54.360
<v Speaker 9>seeing new careers being created such as prompt engineering or

0:12:54.640 --> 0:12:55.880
<v Speaker 9>AI illustrations.

0:12:56.320 --> 0:12:58.040
<v Speaker 2>There's just a lot of opportunity.

0:12:58.520 --> 0:13:02.280
<v Speaker 9>So we as an industry and as salesforce, we do

0:13:02.480 --> 0:13:05.000
<v Speaker 9>take it as a responsibility to scale people up for

0:13:05.040 --> 0:13:08.040
<v Speaker 9>the future. We created Trailhead as a free online learning

0:13:08.080 --> 0:13:11.800
<v Speaker 9>platform to democratize all of this technology so everyone can

0:13:11.880 --> 0:13:15.480
<v Speaker 9>have access and everyone can learn. There's an incredible opportunity

0:13:16.000 --> 0:13:19.160
<v Speaker 9>and we want to make it easy and accessible for everyone,

0:13:19.559 --> 0:13:22.000
<v Speaker 9>and we can also hopefully change the ratios and tech

0:13:22.040 --> 0:13:24.880
<v Speaker 9>in the process. But yes, we are here to help

0:13:24.920 --> 0:13:28.160
<v Speaker 9>skill people up and help remove the fear from this

0:13:28.360 --> 0:13:31.760
<v Speaker 9>incredible new generation of technology we see with generative AI.

0:13:32.320 --> 0:13:34.959
<v Speaker 4>Sarah, how are these new tools driving sales for Salesforce?

0:13:36.640 --> 0:13:40.360
<v Speaker 9>So Generative AI is everything that all of our customers

0:13:40.400 --> 0:13:43.000
<v Speaker 9>are talking about. They are wondering how to future prove

0:13:43.040 --> 0:13:45.920
<v Speaker 9>their business in the wake of this new technology trend,

0:13:46.440 --> 0:13:49.079
<v Speaker 9>and it's here to stay. It's not a bad and

0:13:49.200 --> 0:13:51.880
<v Speaker 9>so every single one of our customers is looking at

0:13:51.920 --> 0:13:54.800
<v Speaker 9>Salesforce right now and saying, we trust you. We know

0:13:54.880 --> 0:13:56.880
<v Speaker 9>that you will guide us into this future, just like

0:13:56.960 --> 0:14:00.680
<v Speaker 9>you guided us into cloud, into mobile, into social. So yes,

0:14:01.040 --> 0:14:03.719
<v Speaker 9>every single one of our customers wants Salesforce GPT to

0:14:03.760 --> 0:14:04.200
<v Speaker 9>help them.

0:14:04.120 --> 0:14:07.360
<v Speaker 2>With sales GPP, service GPT, marketing GPT and more.

0:14:07.640 --> 0:14:11.719
<v Speaker 9>And Tablot GPT and tablet Pulse are incredible innovations that

0:14:11.760 --> 0:14:13.880
<v Speaker 9>are going to help fuel all of our customers' success.

0:14:14.400 --> 0:14:17.040
<v Speaker 4>In your career, as Caroline pointed out, you've been through

0:14:17.120 --> 0:14:21.360
<v Speaker 4>waves of new technological advancement. This has happened quite quickly.

0:14:22.560 --> 0:14:25.680
<v Speaker 4>Did Salesforce really plan these tools over a really long

0:14:25.720 --> 0:14:27.640
<v Speaker 4>period of time, or is this something that you've rushed

0:14:27.720 --> 0:14:30.760
<v Speaker 4>through in recent weeks in response to what the rest

0:14:30.800 --> 0:14:31.840
<v Speaker 4>of the industry's done.

0:14:32.160 --> 0:14:34.040
<v Speaker 2>So this is what's so powerful is.

0:14:34.080 --> 0:14:37.680
<v Speaker 9>That Salesforce has been a pioneer in AI for over

0:14:37.760 --> 0:14:40.440
<v Speaker 9>a decade. We've been investing in Einstein, which is our

0:14:40.520 --> 0:14:44.760
<v Speaker 9>AI platform, and we have seen, as I mentioned earlier,

0:14:45.760 --> 0:14:49.440
<v Speaker 9>we have over one trillion predictions being done every single

0:14:49.520 --> 0:14:52.600
<v Speaker 9>week on our AI platform. So this is not something

0:14:52.720 --> 0:14:54.680
<v Speaker 9>that we're just pulling out of a hat. We have

0:14:54.760 --> 0:14:57.000
<v Speaker 9>been investing in this for a long time, and we

0:14:57.120 --> 0:15:01.480
<v Speaker 9>have the world's best data scientists that are here at Salesforce,

0:15:01.760 --> 0:15:05.400
<v Speaker 9>and they're generating all kinds of incredible large language models

0:15:05.480 --> 0:15:08.840
<v Speaker 9>that help us create code, that help us create reply response,

0:15:09.080 --> 0:15:10.320
<v Speaker 9>that help us create.

0:15:10.400 --> 0:15:12.920
<v Speaker 2>Great engagement and ways for like you.

0:15:12.960 --> 0:15:16.000
<v Speaker 9>See with Tableau GBT and Tableau Pulse, for people to

0:15:16.080 --> 0:15:18.360
<v Speaker 9>really bring their data to life, where in the past

0:15:18.440 --> 0:15:20.600
<v Speaker 9>they haven't been able to really do that easily. So

0:15:21.200 --> 0:15:23.480
<v Speaker 9>this has been something Salesforce has been doing for a

0:15:23.560 --> 0:15:26.880
<v Speaker 9>long time and will continue to be a leader in generative.

0:15:26.480 --> 0:15:30.200
<v Speaker 3>AI, a leader at a time where the macro headwinds

0:15:30.400 --> 0:15:33.240
<v Speaker 3>for every single industry are tough at the moment, and Sarah,

0:15:33.280 --> 0:15:35.520
<v Speaker 3>as you talk about the in house talent that you

0:15:35.640 --> 0:15:37.840
<v Speaker 3>have to keep building, it's at a time where we

0:15:37.960 --> 0:15:40.120
<v Speaker 3>know companies like you also are having to lay off staff,

0:15:40.240 --> 0:15:42.760
<v Speaker 3>having to slim down in the face of what has

0:15:42.800 --> 0:15:43.880
<v Speaker 3>been a slowing economy.

0:15:44.120 --> 0:15:45.680
<v Speaker 5>Have you got the right mix of talent in the

0:15:45.720 --> 0:15:46.120
<v Speaker 5>moment you.

0:15:46.160 --> 0:15:51.400
<v Speaker 9>Think at Salesforce, we have the most talented engineers, marketeers, salespeople.

0:15:51.480 --> 0:15:54.200
<v Speaker 9>We have the best people in the business at Salesforce,

0:15:54.760 --> 0:15:58.040
<v Speaker 9>and we are more equipped than ever. Our company is

0:15:58.120 --> 0:16:00.400
<v Speaker 9>in a great spot set up for the decades to come.

0:16:01.000 --> 0:16:04.600
<v Speaker 9>We're laser focused on our customers, on our innovation, and

0:16:04.720 --> 0:16:06.560
<v Speaker 9>really delivering success for everyone.

0:16:07.160 --> 0:16:09.360
<v Speaker 3>Sarah Franklin, thanks for spending some time with us co

0:16:09.520 --> 0:16:10.600
<v Speaker 3>president of Salesforce.

0:16:10.680 --> 0:16:10.840
<v Speaker 10>There.

0:16:11.360 --> 0:16:13.480
<v Speaker 3>Meanwhile, ed one of the biggest concerns, of course, that

0:16:13.560 --> 0:16:16.800
<v Speaker 3>comes with using artificial intelligence just in our daily lives, Well,

0:16:16.920 --> 0:16:19.120
<v Speaker 3>we're just talking about being replaced by it, especially for

0:16:19.240 --> 0:16:21.440
<v Speaker 3>those that work in the media landscape.

0:16:21.640 --> 0:16:22.880
<v Speaker 5>Enter GPT zero.

0:16:23.040 --> 0:16:26.320
<v Speaker 3>It's an app launch to distinguish whether copy was written

0:16:26.400 --> 0:16:29.320
<v Speaker 3>by a human or by artificial intelligence. More than one

0:16:29.480 --> 0:16:32.200
<v Speaker 3>million users of registered since January and the brain behind

0:16:32.240 --> 0:16:33.960
<v Speaker 3>the app is just a twenty two year old from

0:16:33.960 --> 0:16:37.120
<v Speaker 3>Princeton University. A student is also launching a new program

0:16:37.280 --> 0:16:39.840
<v Speaker 3>called Origin, which aims to weed out disinformation in the

0:16:39.880 --> 0:16:42.760
<v Speaker 3>online media generated by AI. It secured three and a

0:16:42.760 --> 0:16:45.200
<v Speaker 3>half million dollars in funding so far.

0:16:45.400 --> 0:16:49.200
<v Speaker 4>Ed Yeah, let's stick with AI. IBM introducing a platform

0:16:49.280 --> 0:16:52.520
<v Speaker 4>for large companies to train and use AI models. When

0:16:52.560 --> 0:16:55.600
<v Speaker 4>it rains, it pours Caroline, the company leaning in on

0:16:55.640 --> 0:16:58.680
<v Speaker 4>its Watson legacy to stand out in a crowded field

0:16:59.040 --> 0:17:01.480
<v Speaker 4>for AI. Tool have to say, not doing much to

0:17:01.520 --> 0:17:07.719
<v Speaker 4>support the shares this Wednesday Tuesday. Sorry, down one right

0:17:07.840 --> 0:17:10.639
<v Speaker 4>and at a seven month low. So many headlines in

0:17:10.680 --> 0:17:14.439
<v Speaker 4>the field of AI now coming up. Regional banks resume

0:17:14.520 --> 0:17:16.840
<v Speaker 4>their sell off as uncertainty hits the sector. We're going

0:17:16.880 --> 0:17:19.560
<v Speaker 4>to discuss that next in our weekly Wall Street Beat.

0:17:19.960 --> 0:17:21.200
<v Speaker 7>This is bloomberg.

0:17:40.640 --> 0:17:43.440
<v Speaker 4>Time for Wall Street Beat. Pack West and Western Alliance

0:17:43.520 --> 0:17:45.919
<v Speaker 4>led regional bank stocks lower today as the hard hit

0:17:46.040 --> 0:17:49.359
<v Speaker 4>sector resumed its decline. The drop comes as investors remain

0:17:49.440 --> 0:17:52.600
<v Speaker 4>unnerved by a rash of deposit outflows from banks and

0:17:52.720 --> 0:17:57.399
<v Speaker 4>increasing concerns about general stability. Plus Linked in the latest

0:17:57.480 --> 0:18:00.080
<v Speaker 4>tech company to join the wave of job cuts. The

0:18:00.119 --> 0:18:02.760
<v Speaker 4>company plans to shut its jobs app in China and

0:18:02.840 --> 0:18:05.920
<v Speaker 4>cut about seven hundred and sixteen jobs as the networking

0:18:06.000 --> 0:18:10.160
<v Speaker 4>service further shrinks its presence in the world's second largest economy,

0:18:10.800 --> 0:18:13.879
<v Speaker 4>and a group of firms including Goldman, Sachs and Microsoft

0:18:13.960 --> 0:18:18.920
<v Speaker 4>adjoining a new blockchain system aimed at linking disparate institutional applications,

0:18:19.119 --> 0:18:24.560
<v Speaker 4>potentially encouraging broader adoption of distributed ledger technology in financial markets.

0:18:24.880 --> 0:18:28.000
<v Speaker 4>Participants in the Canton network, which will start testing some

0:18:28.160 --> 0:18:31.879
<v Speaker 4>features in July, say the system offers better privacy and

0:18:32.080 --> 0:18:35.520
<v Speaker 4>controls than currently available AI. At the same time, it

0:18:35.560 --> 0:18:40.080
<v Speaker 4>will achieve a scale and standard appropriate for financial institutions.

0:18:40.119 --> 0:18:42.840
<v Speaker 4>That all according to a quite long statement released by

0:18:42.880 --> 0:18:44.080
<v Speaker 4>the companies on Tuesday.

0:18:45.640 --> 0:18:49.520
<v Speaker 3>Yeah, a little one to dig into. Basically, blockchain is back. Meanwhile,

0:18:50.000 --> 0:18:53.399
<v Speaker 3>we els is back. Celebrities endorsing brands are x three

0:18:53.520 --> 0:18:56.320
<v Speaker 3>raising one hundred and fifty million dollars from athletes from

0:18:56.320 --> 0:18:59.400
<v Speaker 3>celebrities were at Second Equity Fund where they really analyze

0:18:59.400 --> 0:19:00.640
<v Speaker 3>some consumer opportunities.

0:19:00.680 --> 0:19:02.399
<v Speaker 5>We've got an exclusive interview for you coming up.

0:19:02.440 --> 0:19:04.600
<v Speaker 3>Nate Robb's going to be joining us managing partner at

0:19:04.680 --> 0:19:07.200
<v Speaker 3>our ex three ventures that's up next.

0:19:07.320 --> 0:19:10.040
<v Speaker 5>Meanwhile, another stot that we've got an eye on Nintendo.

0:19:10.600 --> 0:19:15.320
<v Speaker 3>Wow, the Mario maker is learning and warning a big

0:19:15.400 --> 0:19:18.639
<v Speaker 3>slowdown in the switch console sales. This is a key concern,

0:19:18.720 --> 0:19:21.480
<v Speaker 3>but actually Nintendo managing to tread above water at the moment,

0:19:21.520 --> 0:19:23.600
<v Speaker 3>at least over the last few trading days. But it

0:19:23.640 --> 0:19:25.919
<v Speaker 3>seems as though maybe you want too many consoles out there.

0:19:26.040 --> 0:19:27.320
<v Speaker 5>D you know you're the expert on this one.

0:19:28.160 --> 0:19:29.920
<v Speaker 4>Yeah, look, I am tracking Mobile. I we kind of

0:19:29.960 --> 0:19:32.280
<v Speaker 4>pared some earlier gains. We're up sort of more than

0:19:32.359 --> 0:19:34.720
<v Speaker 4>nine percent. After we did an interview with the CEO

0:19:34.960 --> 0:19:38.200
<v Speaker 4>the company reaching a deal with Porsche to just basically

0:19:38.320 --> 0:19:42.720
<v Speaker 4>give them their advanced driver technology assistance technology going forward.

0:19:42.880 --> 0:19:45.359
<v Speaker 4>The CEO telling me that actually we could see the

0:19:45.440 --> 0:19:48.720
<v Speaker 4>tech in real cars in production sooner than we might think.

0:19:48.800 --> 0:19:49.240
<v Speaker 4>Have a listen.

0:19:49.800 --> 0:19:53.359
<v Speaker 11>Normally, when you get a design, when it's between two

0:19:53.440 --> 0:19:56.920
<v Speaker 11>to three years until you have started off production. So

0:19:57.240 --> 0:20:00.800
<v Speaker 11>we're talking about the same timeframe. But we started working

0:20:01.040 --> 0:20:04.600
<v Speaker 11>a few months early before this announcement, so you can

0:20:04.680 --> 0:20:07.480
<v Speaker 11>do this smath then come up with a start of production.

0:20:08.320 --> 0:20:10.680
<v Speaker 4>I would say, Caroline, this is a deal that the

0:20:10.800 --> 0:20:13.960
<v Speaker 4>mobile it's in recent weeks, particularly on the earnings care

0:20:14.119 --> 0:20:17.959
<v Speaker 4>or wondering who is this mysterious European automaker the mobilized

0:20:18.040 --> 0:20:21.320
<v Speaker 4>doing businesses. Well, it's a pretty decent one poor show.

0:20:21.359 --> 0:20:23.119
<v Speaker 4>It'll be interesting to see if this moves the needle

0:20:23.160 --> 0:20:33.320
<v Speaker 4>for them and they get some more deals. Welcome back

0:20:33.320 --> 0:20:35.680
<v Speaker 4>to Bloomberg Technology. I'm ed love Low in San Francisco.

0:20:35.760 --> 0:20:37.400
<v Speaker 3>I'm Caroline Heard in New York. And let's dig into

0:20:37.440 --> 0:20:39.080
<v Speaker 3>some of this market action. Halfway through the show and

0:20:39.200 --> 0:20:41.479
<v Speaker 3>I'm looking at what is sentiment a little bit more

0:20:41.560 --> 0:20:43.119
<v Speaker 3>like luster On the day, we're off by seven ten

0:20:43.200 --> 0:20:45.680
<v Speaker 3>percent on the NASDAG. We're worried about some key themes

0:20:45.680 --> 0:20:47.840
<v Speaker 3>here in the US, the debt ceial course, keeping some

0:20:48.000 --> 0:20:51.199
<v Speaker 3>investors on edge. We're also worrying about China potentially more

0:20:51.240 --> 0:20:53.480
<v Speaker 3>of a hit to that economy that we're anticipating imports

0:20:53.520 --> 0:20:55.720
<v Speaker 3>not as fast as we wanted Golden dragons. So some

0:20:55.800 --> 0:20:58.280
<v Speaker 3>of those Chinese listed companies here in the United States,

0:20:58.600 --> 0:21:01.000
<v Speaker 3>or Chinese companies listed here in the US, are on

0:21:01.040 --> 0:21:03.640
<v Speaker 3>the downside. Two and a half percent. KBW bankin nets.

0:21:03.680 --> 0:21:05.200
<v Speaker 3>Keep an eye on some of these regional lenders. We

0:21:05.320 --> 0:21:07.560
<v Speaker 3>are still worried about them. Pack westers on the downside

0:21:07.600 --> 0:21:09.320
<v Speaker 3>once again, so a lot to think about from the

0:21:09.400 --> 0:21:12.520
<v Speaker 3>macro perspective, but also let's dig into the earnings the micro.

0:21:12.880 --> 0:21:14.040
<v Speaker 3>Have a quick look at what's on the move in

0:21:14.160 --> 0:21:16.360
<v Speaker 3>terms of your individual tech names on the day. Look,

0:21:16.400 --> 0:21:18.920
<v Speaker 3>Amazon manages to outperform and what's actually up modern than this.

0:21:19.000 --> 0:21:21.880
<v Speaker 3>It's adding in terms of points perspective to the NASDAK

0:21:21.880 --> 0:21:23.920
<v Speaker 3>and the NASDAQ one hundred to day. It's unveiling the

0:21:23.960 --> 0:21:25.679
<v Speaker 3>fact that you might be able to buy Amazon products

0:21:25.720 --> 0:21:27.920
<v Speaker 3>even when you're in a gaming or virtual reality sphere

0:21:27.960 --> 0:21:28.360
<v Speaker 3>at the moment.

0:21:28.480 --> 0:21:30.359
<v Speaker 5>So don't worry. You can order that Amazon get you

0:21:30.440 --> 0:21:31.280
<v Speaker 5>down on a matter where you go.

0:21:31.560 --> 0:21:33.440
<v Speaker 3>Paleteer, as you mentioned at the top of the show,

0:21:33.600 --> 0:21:35.840
<v Speaker 3>ed up twenty two percent, absolutely soaring because Moves is

0:21:35.880 --> 0:21:38.280
<v Speaker 3>twenty twenty one as they say, look this AI app

0:21:38.280 --> 0:21:40.520
<v Speaker 3>that they're developing, the software they will be used even

0:21:40.520 --> 0:21:41.280
<v Speaker 3>in the battlefield.

0:21:41.600 --> 0:21:43.879
<v Speaker 5>That is unprecedented demand for it.

0:21:44.119 --> 0:21:47.240
<v Speaker 3>PayPal though on the downside after its earnings because operating

0:21:47.280 --> 0:21:49.480
<v Speaker 3>margin not as strong as wanted to be seen. Even

0:21:49.480 --> 0:21:53.880
<v Speaker 3>though they're seeing volumes increase in terms of overall payments processing, they're.

0:21:53.760 --> 0:21:54.800
<v Speaker 5>Doing too much white labeling.

0:21:54.840 --> 0:21:57.879
<v Speaker 3>People want to see more of the PayPal payments going forward,

0:21:57.960 --> 0:21:59.920
<v Speaker 3>and I'm looking at fiska off by six tens percent,

0:22:00.119 --> 0:22:03.160
<v Speaker 3>six percent fully actually, as we worry about the software

0:22:03.240 --> 0:22:06.000
<v Speaker 3>in its new SUV and whether or not that's looking

0:22:06.000 --> 0:22:07.359
<v Speaker 3>pretty cunky for the time being.

0:22:07.240 --> 0:22:10.159
<v Speaker 4>At right from the public markets, let's go to the

0:22:10.240 --> 0:22:13.440
<v Speaker 4>private markets. The Venger Fund RX three has just raised

0:22:13.440 --> 0:22:16.440
<v Speaker 4>one hundred and fifty million dollars from athletes and celebrities

0:22:16.760 --> 0:22:20.280
<v Speaker 4>for its second consumer focus growth equity fund, The Farmers,

0:22:20.320 --> 0:22:24.560
<v Speaker 4>co founded by football star Aaron Rodgers, bench catalyst Byron Roth,

0:22:24.640 --> 0:22:28.600
<v Speaker 4>and Nate Raby, who joins us now for an exclusive interview. Nate,

0:22:28.680 --> 0:22:35.520
<v Speaker 4>good morning to you. Why are all of the LPs athletes, actors, celebrities. Yeah,

0:22:35.600 --> 0:22:36.920
<v Speaker 4>thanks Ed Caroline for having me on.

0:22:37.720 --> 0:22:40.880
<v Speaker 12>I think the reason we have a lot of these athletes,

0:22:40.920 --> 0:22:45.760
<v Speaker 12>celebrities and actors as LPs it really provides us access

0:22:46.040 --> 0:22:49.679
<v Speaker 12>to consumer brands across the growth sector.

0:22:49.880 --> 0:22:52.080
<v Speaker 4>And not only we have be able to provide capital,

0:22:52.400 --> 0:22:53.560
<v Speaker 4>but we can provide.

0:22:53.359 --> 0:22:55.800
<v Speaker 12>Value beyond that capital and really move the needle and

0:22:55.880 --> 0:22:58.439
<v Speaker 12>help drive revenue to these brands.

0:23:00.040 --> 0:23:03.360
<v Speaker 4>When you look at the portfolio companies or potential portfolio companies.

0:23:04.000 --> 0:23:08.440
<v Speaker 4>Do you think that having celebrity backing is an investor

0:23:08.640 --> 0:23:13.280
<v Speaker 4>and then endorsement increases the I guess the likelihood that

0:23:13.400 --> 0:23:16.840
<v Speaker 4>you will have success and then a successful exit down

0:23:16.880 --> 0:23:17.240
<v Speaker 4>the road.

0:23:18.680 --> 0:23:22.000
<v Speaker 12>Yeah, I think it definitely can if there's the authentic relationship.

0:23:22.520 --> 0:23:26.760
<v Speaker 12>So we really drive, really strive to align our differentiated

0:23:26.840 --> 0:23:30.520
<v Speaker 12>LPU based with brands when there is that authentic relationship.

0:23:31.080 --> 0:23:32.880
<v Speaker 4>I don't think you can set it up.

0:23:32.840 --> 0:23:35.639
<v Speaker 12>Where the days of where they just get paid to

0:23:35.680 --> 0:23:37.760
<v Speaker 12>do a post, those are kind of long gone. So

0:23:37.920 --> 0:23:41.280
<v Speaker 12>we really try to baster authentic relationships between our differentiated

0:23:41.359 --> 0:23:42.520
<v Speaker 12>LP based in our brands.

0:23:43.920 --> 0:23:46.800
<v Speaker 3>Some VCS that I've been speaking to Nate have said

0:23:46.840 --> 0:23:48.760
<v Speaker 3>the one area that they are not going anywhere near

0:23:49.200 --> 0:23:53.720
<v Speaker 3>a consumer led companies right now, consumer focused companies because

0:23:53.760 --> 0:23:54.720
<v Speaker 3>of the economy that we're in.

0:23:54.840 --> 0:23:56.280
<v Speaker 5>Why is it still the great hit for you?

0:23:58.000 --> 0:23:58.200
<v Speaker 9>Yeah?

0:23:58.280 --> 0:24:02.640
<v Speaker 12>For us, because we have athletes and entertainers. It's easy

0:24:02.720 --> 0:24:04.959
<v Speaker 12>for them to get behind because it's products and brands

0:24:05.160 --> 0:24:07.240
<v Speaker 12>they use on the have a day basis. So we

0:24:07.359 --> 0:24:11.320
<v Speaker 12>invest across help, wellness, active, lifestyle, beauty, pet and these

0:24:11.320 --> 0:24:13.920
<v Speaker 12>are all brands that they can feel, touch and using

0:24:13.960 --> 0:24:17.800
<v Speaker 12>their daily life. We have shifted our focus from kind

0:24:17.840 --> 0:24:21.960
<v Speaker 12>of high growth BTC consumer brands to more consumer essentials,

0:24:22.119 --> 0:24:25.639
<v Speaker 12>profitable brands that have strong fundamentals behind them.

0:24:25.800 --> 0:24:26.880
<v Speaker 5>Always got to feed your pet.

0:24:27.119 --> 0:24:28.760
<v Speaker 3>Talk to us a little bit though about some of

0:24:28.840 --> 0:24:31.560
<v Speaker 3>the overall valuations that you're seeing. Are you getting a

0:24:31.760 --> 0:24:35.560
<v Speaker 3>better entry point when you're starting these conversations and where

0:24:35.600 --> 0:24:37.200
<v Speaker 3>do you think some of the opportunities are and what

0:24:37.359 --> 0:24:38.399
<v Speaker 3>is a dislocated market?

0:24:39.840 --> 0:24:42.680
<v Speaker 12>Yeah, I think there's there's definitely been a healthy reset

0:24:42.880 --> 0:24:45.080
<v Speaker 12>in the market across private equity.

0:24:46.359 --> 0:24:47.200
<v Speaker 4>You know, we're looking at it.

0:24:47.240 --> 0:24:49.440
<v Speaker 12>We've only made one investment out of our second fund,

0:24:49.520 --> 0:24:53.560
<v Speaker 12>and well positioned to kind of take advantage and really

0:24:53.600 --> 0:24:56.760
<v Speaker 12>help provide value to these brands. So we're excited about

0:24:56.760 --> 0:25:00.760
<v Speaker 12>about this vintage because there definitely has been a healthy reset.

0:25:01.080 --> 0:25:04.159
<v Speaker 3>Healthy reset that in many ways ED has not just

0:25:04.240 --> 0:25:08.159
<v Speaker 3>been seen across technology companies and in the private markets,

0:25:08.160 --> 0:25:11.000
<v Speaker 3>but in the public markets as well. But really a

0:25:11.080 --> 0:25:13.440
<v Speaker 3>lot of this is about having technology at its core,

0:25:13.520 --> 0:25:15.160
<v Speaker 3>a way in which you can speak to a mass

0:25:15.200 --> 0:25:18.480
<v Speaker 3>consumer via the power of well social media, and big

0:25:18.560 --> 0:25:20.399
<v Speaker 3>brands that are happened to be big individuals in this

0:25:20.520 --> 0:25:20.920
<v Speaker 3>case ED.

0:25:21.640 --> 0:25:24.159
<v Speaker 4>Yeah, I guess that in that vein Nay, when you

0:25:24.240 --> 0:25:27.359
<v Speaker 4>guys are making an investment decision, a deck hits your desk,

0:25:27.840 --> 0:25:30.320
<v Speaker 4>do you then invite all of these LPs that would

0:25:30.320 --> 0:25:33.640
<v Speaker 4>be involved in the endorsement of this company to participate

0:25:33.720 --> 0:25:36.400
<v Speaker 4>actively in that investment decision or do the three partners

0:25:36.840 --> 0:25:38.320
<v Speaker 4>just make the decision on their behalf.

0:25:39.800 --> 0:25:40.560
<v Speaker 2>No great question.

0:25:40.880 --> 0:25:46.120
<v Speaker 12>So our LPs and our athletes Lebri advessors we're return focused.

0:25:46.240 --> 0:25:46.480
<v Speaker 2>First.

0:25:46.840 --> 0:25:49.639
<v Speaker 12>We don't require anybody to do anything, but rather, if

0:25:49.680 --> 0:25:52.280
<v Speaker 12>there is that natural alignment, we do go out to

0:25:52.400 --> 0:25:55.040
<v Speaker 12>our existing lpbasency if there is interest, and they would

0:25:55.640 --> 0:25:57.880
<v Speaker 12>it is a brand that they would give behind. They're

0:25:57.920 --> 0:26:00.200
<v Speaker 12>not involved in the day to day investment decision and

0:26:00.560 --> 0:26:03.200
<v Speaker 12>not required to do anything for the brand. But we

0:26:03.280 --> 0:26:05.680
<v Speaker 12>do try to align ourselves with brands where there is

0:26:05.720 --> 0:26:06.679
<v Speaker 12>someone in our network that we.

0:26:06.680 --> 0:26:07.520
<v Speaker 2>Can provide value to.

0:26:08.760 --> 0:26:11.000
<v Speaker 4>Nate Ashton Kirsch had told us on the show last

0:26:11.080 --> 0:26:13.800
<v Speaker 4>week he raised two hundred and forty three million for

0:26:13.920 --> 0:26:17.760
<v Speaker 4>his AI fund in just five weeks. How quickly did

0:26:17.800 --> 0:26:18.680
<v Speaker 4>he raise this fund?

0:26:19.880 --> 0:26:22.520
<v Speaker 12>A little more in five five weeks? Ashton Kutcher as

0:26:22.840 --> 0:26:26.000
<v Speaker 12>a strong brand in the investing side. That's very impressive.

0:26:26.040 --> 0:26:29.320
<v Speaker 12>Definitely took us a little longer, so very impressed with

0:26:29.520 --> 0:26:32.400
<v Speaker 12>what he did, but we're happy to say we're oversubscribed

0:26:32.880 --> 0:26:33.919
<v Speaker 12>with our second fund him.

0:26:34.080 --> 0:26:35.480
<v Speaker 5>What about artificial intelligence?

0:26:35.520 --> 0:26:37.440
<v Speaker 3>What a way about the ways in which that is

0:26:37.480 --> 0:26:39.520
<v Speaker 3>seeming uppending every business model?

0:26:39.560 --> 0:26:40.639
<v Speaker 5>Is it something that you're looking at?

0:26:41.720 --> 0:26:44.320
<v Speaker 12>Yeah, I think it's something that all of our brands

0:26:44.400 --> 0:26:47.240
<v Speaker 12>across the consumer spectrum are going to have to take

0:26:47.280 --> 0:26:50.720
<v Speaker 12>a look at and how they can incorporate it into

0:26:50.800 --> 0:26:54.800
<v Speaker 12>their company. I think it's still early days here and

0:26:55.400 --> 0:26:58.200
<v Speaker 12>it's definitely something though that we're looking at and will

0:26:58.240 --> 0:27:00.679
<v Speaker 12>be a part of our our super brands.

0:27:01.040 --> 0:27:03.320
<v Speaker 3>Nate Raby, thanks for the time, managing partner and our

0:27:03.520 --> 0:27:06.280
<v Speaker 3>X three ventures. Meanwhile, coming up, we're going to stick

0:27:06.440 --> 0:27:09.520
<v Speaker 3>on the focus of investment VC firms continuing to tap

0:27:09.560 --> 0:27:11.520
<v Speaker 3>their commitments to AI native companies.

0:27:11.760 --> 0:27:13.680
<v Speaker 5>We're speaking with a partner from Bessemer Venture Partners.

0:27:13.720 --> 0:27:16.080
<v Speaker 3>We're gonna dig in really to the nuance of the portfolio,

0:27:16.480 --> 0:27:17.520
<v Speaker 3>what they're building in AI.

0:27:17.720 --> 0:27:18.240
<v Speaker 5>That's next.

0:27:18.440 --> 0:27:43.680
<v Speaker 1>This is Bloomberg. There's time now for our VC roundup.

0:27:43.320 --> 0:27:47.200
<v Speaker 3>Investment firm processes exploring potential divestments from its emerging markets

0:27:47.240 --> 0:27:50.080
<v Speaker 3>fintech company Pay You Look. Sources are saying it's working

0:27:50.119 --> 0:27:52.200
<v Speaker 3>with Bank of America to gauge interest in pay US

0:27:52.240 --> 0:27:54.959
<v Speaker 3>business outside of India and could fetch as much as

0:27:54.960 --> 0:27:58.240
<v Speaker 3>eight hundred million dollars in the potential deal. Meanwhile, Taiwanese

0:27:58.320 --> 0:28:01.879
<v Speaker 3>battery maker pro Logium Technology is looking into funding an

0:28:01.920 --> 0:28:04.400
<v Speaker 3>evaluation of about two billion dollars to ramp up growth

0:28:04.440 --> 0:28:05.280
<v Speaker 3>in twenty twenty four.

0:28:05.520 --> 0:28:08.080
<v Speaker 5>The ev battery supplier, which is backed by Mercedes.

0:28:07.720 --> 0:28:10.280
<v Speaker 3>Benz, some talks with potential advisors to raise as much

0:28:10.280 --> 0:28:13.840
<v Speaker 3>as three hundred million dollars, according to sources, and Aura,

0:28:13.920 --> 0:28:16.600
<v Speaker 3>the finished company behind some of those pricey health tracking rings,

0:28:16.760 --> 0:28:19.639
<v Speaker 3>says it's buying a little known tech startup called Proxy.

0:28:19.840 --> 0:28:22.200
<v Speaker 5>Proxy makes digital identification tools.

0:28:22.200 --> 0:28:27.080
<v Speaker 4>Said yeah, loving those private startup and venture stories from

0:28:27.160 --> 0:28:29.359
<v Speaker 4>around the world. They're stay in the VC space and

0:28:29.480 --> 0:28:33.879
<v Speaker 4>wait welcome. Samir de La key partner with Besmadventure Partners,

0:28:34.200 --> 0:28:35.440
<v Speaker 4>a billion dollars.

0:28:35.600 --> 0:28:39.760
<v Speaker 13>Billion dollars the AI four AI from an existing fund,

0:28:40.000 --> 0:28:42.040
<v Speaker 13>from an existing fund. We have lots of flexibility with

0:28:42.080 --> 0:28:44.280
<v Speaker 13>our existing funds to be able to deploy it. The

0:28:44.400 --> 0:28:47.560
<v Speaker 13>message is really clear to entrepreneurs out there. We are

0:28:47.920 --> 0:28:51.600
<v Speaker 13>committed to AI in investment in AI native founders.

0:28:52.240 --> 0:28:56.520
<v Speaker 3>Okay, tell us Samir, how you thought week from chaff

0:28:56.560 --> 0:28:59.840
<v Speaker 3>at the moment we had. Of course, many VC come

0:29:00.120 --> 0:29:02.600
<v Speaker 3>on saying there's plenty of opportunities to write checks at

0:29:02.640 --> 0:29:05.640
<v Speaker 3>the moment, but not all of the companies are as

0:29:05.640 --> 0:29:07.320
<v Speaker 3>strong as the other. How do you understand that they're

0:29:07.360 --> 0:29:09.080
<v Speaker 3>really doing something foundational within AI?

0:29:10.400 --> 0:29:13.240
<v Speaker 13>No question, and that is fundamental to our job is

0:29:13.280 --> 0:29:15.440
<v Speaker 13>to be able to sort those I will just say

0:29:15.840 --> 0:29:19.280
<v Speaker 13>I've been in software now for twenty eight years, served

0:29:19.320 --> 0:29:23.560
<v Speaker 13>as CEO of two different companies, joined venture capital recently.

0:29:23.600 --> 0:29:27.240
<v Speaker 13>But I'll tell you I've seen these seminal moments in

0:29:27.440 --> 0:29:31.800
<v Speaker 13>technology history where it becomes clear to the mainstream that

0:29:31.880 --> 0:29:34.760
<v Speaker 13>we have made a technical leap forward and everything about

0:29:34.920 --> 0:29:37.600
<v Speaker 13>life and work will be different. I saw it with

0:29:37.680 --> 0:29:40.800
<v Speaker 13>the Netscape moment in ninety five. I saw it with

0:29:40.920 --> 0:29:42.760
<v Speaker 13>the iPhone moment with.

0:29:42.920 --> 0:29:43.800
<v Speaker 4>Jobs in seven.

0:29:44.680 --> 0:29:46.280
<v Speaker 13>And there's just no question in my mind that we

0:29:46.320 --> 0:29:49.320
<v Speaker 13>will look back at November thirtieth of twenty two and

0:29:49.440 --> 0:29:53.640
<v Speaker 13>say that was the chat GPT moment, and everything about

0:29:53.640 --> 0:29:57.680
<v Speaker 13>the future is going to be different in great ways.

0:29:57.800 --> 0:30:01.440
<v Speaker 13>And I think that in on us as venture capitalists.

0:30:01.480 --> 0:30:03.320
<v Speaker 13>If I take the Netscape example, the first one that

0:30:03.400 --> 0:30:05.720
<v Speaker 13>I lived through. We need to go find the next

0:30:05.800 --> 0:30:08.560
<v Speaker 13>Jeff Bezos and I know he's out there and or

0:30:08.680 --> 0:30:10.640
<v Speaker 13>she's out there, and we would love to talk to her,

0:30:10.800 --> 0:30:12.560
<v Speaker 13>and we want to and we have to be able

0:30:12.600 --> 0:30:15.200
<v Speaker 13>to sort the Jeff Bezos from you know, the next

0:30:15.280 --> 0:30:18.320
<v Speaker 13>Amazon from the next Webvan And that's hard to do,

0:30:18.480 --> 0:30:20.239
<v Speaker 13>but we're excited to go do it, and we want

0:30:20.280 --> 0:30:22.480
<v Speaker 13>a signal to the market. We've got a billion dollars

0:30:22.560 --> 0:30:27.040
<v Speaker 13>of capital here to deploy into this new breakthrough that

0:30:27.120 --> 0:30:28.200
<v Speaker 13>we think is going to change the world.

0:30:28.200 --> 0:30:30.320
<v Speaker 3>And we're looking at some of your portfolio Jasper Dpel,

0:30:30.440 --> 0:30:35.120
<v Speaker 3>for example, Samir. There is currently this discussion about whether

0:30:35.560 --> 0:30:39.200
<v Speaker 3>big tech or indeed all gardens will win out. We see,

0:30:39.600 --> 0:30:42.640
<v Speaker 3>of course everyone talking about open AI and being a

0:30:43.040 --> 0:30:45.600
<v Speaker 3>relationship with Microsoft. We think about the competition with Google,

0:30:45.720 --> 0:30:48.840
<v Speaker 3>but many are also talking about well open source. We're

0:30:48.840 --> 0:30:50.920
<v Speaker 3>also seeing how hugging face makes an impact on that.

0:30:51.080 --> 0:30:53.960
<v Speaker 3>What do you think about that sort of the dichotomy we're.

0:30:53.840 --> 0:30:54.480
<v Speaker 5>Getting at the moment.

0:30:55.560 --> 0:30:58.800
<v Speaker 13>Absolutely, I think you're going to see continued innovation at

0:30:58.920 --> 0:31:02.080
<v Speaker 13>all layers of the staff. We're seeing open source flourish

0:31:02.520 --> 0:31:05.840
<v Speaker 13>costs are coming down really quickly. I do believe if

0:31:05.880 --> 0:31:07.240
<v Speaker 13>you were to ask me as a betting man, I

0:31:07.320 --> 0:31:10.720
<v Speaker 13>think at the foundation model layers would probably see a

0:31:10.800 --> 0:31:15.520
<v Speaker 13>redux of the cloud wars, where the big tech provides

0:31:15.920 --> 0:31:19.000
<v Speaker 13>the biggest platforms. But I think you'll but you will

0:31:19.080 --> 0:31:22.800
<v Speaker 13>also see open source solutions. I think you'll see vertical

0:31:23.360 --> 0:31:27.520
<v Speaker 13>solutions that are smaller lms trained to solve a particular

0:31:27.640 --> 0:31:31.120
<v Speaker 13>problem set in a given vertical industry, et cetera. And

0:31:31.200 --> 0:31:32.720
<v Speaker 13>so I think we're just going to and then of

0:31:32.800 --> 0:31:35.440
<v Speaker 13>course at the application layer, I think you're going to

0:31:35.480 --> 0:31:41.720
<v Speaker 13>see the creativity of the world's entrepreneurs unleashed and problem

0:31:41.840 --> 0:31:44.640
<v Speaker 13>solved in novel ways. And there will be thousands of

0:31:44.680 --> 0:31:47.120
<v Speaker 13>those solutions. So I think this is one of those

0:31:47.200 --> 0:31:51.160
<v Speaker 13>moments where I genuinely would say trillions of dollars of

0:31:51.240 --> 0:31:54.560
<v Speaker 13>market cap will be created from this AI moment. And

0:31:54.680 --> 0:31:56.760
<v Speaker 13>it's not I say that not because my crystal ball

0:31:56.840 --> 0:31:59.400
<v Speaker 13>is any clearer than anybody else's, but because I'm a

0:31:59.440 --> 0:32:01.960
<v Speaker 13>student of his, and I've lived in twenty eight years

0:32:02.360 --> 0:32:06.000
<v Speaker 13>through the previous platform shifts, and every other platform shift

0:32:06.080 --> 0:32:11.080
<v Speaker 13>has led to that level of innovation creation and market

0:32:11.520 --> 0:32:13.440
<v Speaker 13>value creation, which are.

0:32:13.440 --> 0:32:15.920
<v Speaker 4>Is you pulling back from or hitting pause on so

0:32:16.040 --> 0:32:18.400
<v Speaker 4>you can commit a billion dollars to AI Native.

0:32:19.200 --> 0:32:22.320
<v Speaker 13>The fun thing for me about the AI investments is

0:32:22.640 --> 0:32:25.440
<v Speaker 13>AI is not a category. In my humble opinion, I

0:32:25.520 --> 0:32:28.360
<v Speaker 13>think it is going to be embedded everywhere. They're the

0:32:28.440 --> 0:32:31.120
<v Speaker 13>AI natives. We will invest deeply, and that's what this

0:32:31.240 --> 0:32:34.800
<v Speaker 13>fund is all about. Every one of our portfolio companies

0:32:34.920 --> 0:32:38.680
<v Speaker 13>have heard the message, how are you adopting and rethinking

0:32:38.760 --> 0:32:41.800
<v Speaker 13>your solutions in the context of this technical leap forward?

0:32:42.760 --> 0:32:45.640
<v Speaker 13>And so I think we're seeing it everywhere, and so

0:32:45.760 --> 0:32:49.840
<v Speaker 13>I believe will continue to invest meaningfully behind all the

0:32:49.920 --> 0:32:56.520
<v Speaker 13>places we have historically vertical SaaS, horizontal SaaS, and cybersecurity

0:32:56.720 --> 0:33:00.120
<v Speaker 13>or healthcare. We do invest behind crypto as well. Well,

0:33:00.240 --> 0:33:03.719
<v Speaker 13>We've got a Dow where and so I believe crypto

0:33:03.800 --> 0:33:07.440
<v Speaker 13>as well. I think all of these categories will fundamentally

0:33:07.960 --> 0:33:10.400
<v Speaker 13>adopt AI because it's just a great.

0:33:10.240 --> 0:33:15.880
<v Speaker 4>New capability psychologically and mechanically. Is the timeline for exit

0:33:16.080 --> 0:33:19.360
<v Speaker 4>different for an AI company or an AI adjacent company

0:33:19.440 --> 0:33:23.200
<v Speaker 4>or a native AI company AI native and the type.

0:33:22.920 --> 0:33:26.960
<v Speaker 13>Of exit, Yeah, I would say yes, and I think

0:33:27.000 --> 0:33:30.800
<v Speaker 13>it's faster. So the companies that I've invested in so far.

0:33:30.880 --> 0:33:33.520
<v Speaker 13>As an example in AI, Jasper and deep l are

0:33:33.600 --> 0:33:36.040
<v Speaker 13>two of the fastest growing software companies that I have

0:33:36.200 --> 0:33:39.120
<v Speaker 13>ever seen in twenty eight years, I've seen a lot

0:33:39.200 --> 0:33:43.360
<v Speaker 13>of companies. They're rocket ships the adoption because they solve

0:33:43.400 --> 0:33:47.040
<v Speaker 13>a very real problem for customers. They each have tens

0:33:47.120 --> 0:33:51.600
<v Speaker 13>of thousands of paying business customers already, and so I

0:33:51.680 --> 0:33:54.600
<v Speaker 13>think we'll see exits even faster. I think these are

0:33:54.680 --> 0:33:58.080
<v Speaker 13>IPO worthy companies, and so I think that's kind of

0:33:58.160 --> 0:34:00.520
<v Speaker 13>exits will be the same, but I think they'll be

0:34:00.560 --> 0:34:02.160
<v Speaker 13>even faster than what we've seen in the past.

0:34:02.520 --> 0:34:05.520
<v Speaker 3>What we've seen and you just mentioned crypto, there is

0:34:05.920 --> 0:34:08.600
<v Speaker 3>not only talk of a hype cycle, but also some

0:34:09.200 --> 0:34:09.480
<v Speaker 3>talk of.

0:34:09.520 --> 0:34:12.920
<v Speaker 5>Lack of regulation. How are you seeing round corners.

0:34:12.960 --> 0:34:14.919
<v Speaker 3>I know you said your crystal ball isn't good as others,

0:34:14.960 --> 0:34:16.480
<v Speaker 3>but I'm pretty sure it is because that's why you're

0:34:16.480 --> 0:34:19.040
<v Speaker 3>a VC. What are you for seeing in terms of

0:34:19.200 --> 0:34:23.200
<v Speaker 3>regulatory strain and the race for AI being a certain

0:34:23.320 --> 0:34:24.000
<v Speaker 3>and safe one.

0:34:25.320 --> 0:34:28.840
<v Speaker 13>Yeah, First off, I think the hype around AI is

0:34:29.000 --> 0:34:31.160
<v Speaker 13>under hyped given the impact I think it is going

0:34:31.239 --> 0:34:33.600
<v Speaker 13>to have on the way we work and live in

0:34:33.719 --> 0:34:37.880
<v Speaker 13>terms of the regulation. I would say, in my experience

0:34:38.000 --> 0:34:41.520
<v Speaker 13>in business, it is so uncommon for me to see

0:34:41.920 --> 0:34:46.400
<v Speaker 13>all parties agree that regulation is needed and want to

0:34:46.520 --> 0:34:52.160
<v Speaker 13>collaborate together across policy makers, founders, technologists, etc. And so

0:34:52.280 --> 0:34:55.200
<v Speaker 13>I'm very confident that the industry as a whole is

0:34:55.239 --> 0:34:57.880
<v Speaker 13>going to address that. I think there are some obvious

0:34:57.960 --> 0:35:00.919
<v Speaker 13>and no brainer areas where regular will come into play

0:35:00.960 --> 0:35:04.280
<v Speaker 13>that'll be good for everybody. Where I'm focused is gosh,

0:35:04.360 --> 0:35:08.320
<v Speaker 13>the amazing technical lead forward here can solve things in

0:35:08.520 --> 0:35:13.320
<v Speaker 13>healthcare in industries that I think could be an education

0:35:13.600 --> 0:35:16.920
<v Speaker 13>that can be game changing for us as humans across

0:35:16.960 --> 0:35:17.239
<v Speaker 13>the world.

0:35:17.800 --> 0:35:21.440
<v Speaker 4>Caroline, the humble opinion of Samir de Lakia, partner over

0:35:21.520 --> 0:35:23.880
<v Speaker 4>a best of adventures will called twenty billion dollars to

0:35:23.920 --> 0:35:24.239
<v Speaker 4>play with.

0:35:24.880 --> 0:35:35.200
<v Speaker 3>Yeah, quite phenomenal, don't now for what's going viral uvii

0:35:35.600 --> 0:35:38.720
<v Speaker 3>just raised a hundred million dollars from investors including General Motors,

0:35:38.840 --> 0:35:42.560
<v Speaker 3>CarMax and Look the company is using artificial intelligence for

0:35:42.719 --> 0:35:45.879
<v Speaker 3>vehicle inspections. Please to see with us the person who

0:35:45.880 --> 0:35:48.560
<v Speaker 3>can explain exactly how CEO and co founder Emir Heava,

0:35:48.680 --> 0:35:50.120
<v Speaker 3>it is great to have some time with the Amir

0:35:50.800 --> 0:35:53.920
<v Speaker 3>so I drive in and what automatically you can understand

0:35:53.960 --> 0:35:54.920
<v Speaker 3>what's wrong with my vehicle?

0:35:55.000 --> 0:35:55.799
<v Speaker 5>How is this going to work?

0:35:56.040 --> 0:35:59.080
<v Speaker 10>So exactly? At UVII, it's kind of you can think

0:35:59.120 --> 0:36:01.840
<v Speaker 10>of us like MRI for the vehicle. We have a

0:36:01.880 --> 0:36:06.239
<v Speaker 10>few systems. You simply drive through our systems and then

0:36:06.320 --> 0:36:09.160
<v Speaker 10>we're able within a few seconds to really understand the

0:36:09.200 --> 0:36:12.840
<v Speaker 10>full condition of the vehicle. We're taking images of the tires,

0:36:12.960 --> 0:36:16.160
<v Speaker 10>the undercarriage, the whole exterior. So if you have any leakages,

0:36:16.400 --> 0:36:19.360
<v Speaker 10>any expire tires, any issues that were in tear of

0:36:19.480 --> 0:36:22.320
<v Speaker 10>the tires, were simply able to find out everything.

0:36:24.360 --> 0:36:28.920
<v Speaker 4>Hanneko Ventures led the round, but GM did participate through

0:36:28.960 --> 0:36:30.560
<v Speaker 4>its venture round. I thought we'd use that as a

0:36:30.680 --> 0:36:34.320
<v Speaker 4>sort of case study. Do you do business with General Motors?

0:36:34.680 --> 0:36:37.280
<v Speaker 4>What is it that you actually sell to the auto

0:36:37.440 --> 0:36:39.160
<v Speaker 4>makers or to the service shops.

0:36:39.960 --> 0:36:43.360
<v Speaker 10>So we have quite a few partners. It was published

0:36:43.360 --> 0:36:45.520
<v Speaker 10>that we work with General Motors. We work with them

0:36:45.760 --> 0:36:48.720
<v Speaker 10>on mainly on their dealerships to be able to service

0:36:48.800 --> 0:36:51.759
<v Speaker 10>their customers better. It's really important for us to give

0:36:52.080 --> 0:36:55.640
<v Speaker 10>a better customer experience while someone driving into the dealership,

0:36:55.920 --> 0:36:58.719
<v Speaker 10>exposing kind of the issues and really understand the full

0:36:58.760 --> 0:36:59.680
<v Speaker 10>condition of the vehicle.

0:37:00.120 --> 0:37:01.600
<v Speaker 7>We are working with them on the dealerships.

0:37:01.640 --> 0:37:04.920
<v Speaker 10>But also we have more partners like CarMax, like Volvo,

0:37:05.920 --> 0:37:09.080
<v Speaker 10>like Yundai and Tuta that invested us in the previous round.

0:37:09.320 --> 0:37:10.920
<v Speaker 7>We're also working with them as well.

0:37:12.640 --> 0:37:16.239
<v Speaker 4>Bloomberg reported that the deal valued UVI at around eight

0:37:16.360 --> 0:37:19.759
<v Speaker 4>hundred million dollars. How difficult was that to raise the

0:37:19.880 --> 0:37:23.520
<v Speaker 4>funds in this environment from those partners and I guess

0:37:24.160 --> 0:37:28.080
<v Speaker 4>we wanting to hit unicorn status. I think right now

0:37:28.160 --> 0:37:32.920
<v Speaker 4>we're really focusing on building value. Samir just spoke about

0:37:33.040 --> 0:37:35.760
<v Speaker 4>companies that really needs to approve that they have customers

0:37:35.800 --> 0:37:38.080
<v Speaker 4>who are bringing value to their customers, and this is

0:37:38.160 --> 0:37:40.719
<v Speaker 4>exactly what we are doing. We are working with all

0:37:40.719 --> 0:37:43.759
<v Speaker 4>of our partners, where GM and the others, to make

0:37:43.840 --> 0:37:47.800
<v Speaker 4>sure that our products bring value not only to our customers,

0:37:48.000 --> 0:37:49.360
<v Speaker 4>but also to their customers.

0:37:49.640 --> 0:37:51.200
<v Speaker 7>And this is what is important, and this is.

0:37:51.200 --> 0:37:54.640
<v Speaker 10>Why we were still able to raise fairly a lot

0:37:54.680 --> 0:37:58.040
<v Speaker 10>of money, especially right now, which is slightly harder in

0:37:58.200 --> 0:38:02.080
<v Speaker 10>terms of everything that is going on the economics CARO.

0:38:02.520 --> 0:38:06.240
<v Speaker 4>They describe it as the MRI machine for Vehicle inspection,

0:38:06.520 --> 0:38:09.360
<v Speaker 4>but really this is a story about artificial intelligence.

0:38:09.600 --> 0:38:12.920
<v Speaker 3>Yeah, and I'm interested in to that end, how do

0:38:12.960 --> 0:38:17.520
<v Speaker 3>you actually say that this is an artificially intelligent at its.

0:38:17.480 --> 0:38:18.960
<v Speaker 5>Foundation level company.

0:38:19.080 --> 0:38:22.200
<v Speaker 3>Because you're running it through images, I'm assuming to be

0:38:22.239 --> 0:38:23.880
<v Speaker 3>able to understand whether your tiles are looking good or

0:38:23.880 --> 0:38:26.600
<v Speaker 3>whether other parts. But how do how do you prove

0:38:26.719 --> 0:38:28.520
<v Speaker 3>to the investor base that you haven't just tacked on

0:38:28.600 --> 0:38:29.880
<v Speaker 3>AI to make yourself sexy?

0:38:30.520 --> 0:38:34.319
<v Speaker 10>Right, So basically, what we're showing the investors, how does

0:38:34.360 --> 0:38:37.160
<v Speaker 10>it really work right? How do how do we are

0:38:37.239 --> 0:38:40.080
<v Speaker 10>able to really find all the issues at the vehicle?

0:38:40.400 --> 0:38:42.120
<v Speaker 10>How do things work in the back end. The fact

0:38:42.160 --> 0:38:44.520
<v Speaker 10>that we're able to break the vehicle into the different parts,

0:38:44.560 --> 0:38:47.120
<v Speaker 10>the fact that we're able to find different things really

0:38:47.200 --> 0:38:49.719
<v Speaker 10>really quickly. These are the things that are important to

0:38:50.160 --> 0:38:52.920
<v Speaker 10>our investors to make sure we have a really strong

0:38:53.040 --> 0:38:56.839
<v Speaker 10>foundation off models and AI based models. They can really

0:38:56.920 --> 0:39:00.080
<v Speaker 10>work for every vehicle, every type of vehicle, vehicle, and

0:39:00.160 --> 0:39:02.800
<v Speaker 10>any condition of the vehicle that we're seeing. And this

0:39:02.960 --> 0:39:04.600
<v Speaker 10>is kind of why it's really important and kind of

0:39:04.640 --> 0:39:09.319
<v Speaker 10>the strength of your AI because it really helps us

0:39:09.400 --> 0:39:13.040
<v Speaker 10>to even support things we haven't seen before. So if

0:39:13.080 --> 0:39:15.600
<v Speaker 10>there's a new vehicle we haven't seen it before, we're

0:39:15.640 --> 0:39:18.560
<v Speaker 10>still able to find most of the damages on that vehicle,

0:39:19.120 --> 0:39:22.560
<v Speaker 10>even when we didn't see the specific type or model

0:39:22.640 --> 0:39:23.240
<v Speaker 10>off the vehicle.

0:39:23.560 --> 0:39:25.640
<v Speaker 7>And that's kind of the strength of what we're building.

0:39:26.120 --> 0:39:29.759
<v Speaker 3>V I faced Nehir. Well, you're in Jersey, right, you

0:39:29.840 --> 0:39:32.080
<v Speaker 3>came from Israel. Where is your tech talent at the

0:39:32.160 --> 0:39:32.719
<v Speaker 3>moment for this?

0:39:33.120 --> 0:39:35.640
<v Speaker 10>So both here and here in Jersey we have offices

0:39:35.719 --> 0:39:39.920
<v Speaker 10>both in in Jersey but also in Ohio, and we

0:39:40.160 --> 0:39:44.480
<v Speaker 10>also have an office in Israel. We also have offices

0:39:44.520 --> 0:39:46.200
<v Speaker 10>in Germany and the UK.

0:39:47.400 --> 0:39:50.160
<v Speaker 4>Very quick and where will you build and manufactured the

0:39:50.280 --> 0:39:51.600
<v Speaker 4>systems here in North America?

0:39:51.719 --> 0:39:57.080
<v Speaker 10>Where so we're now manufacturing here in Indianapolis and that

0:39:57.880 --> 0:40:01.080
<v Speaker 10>help us to scale a lot quicker and to share

0:40:01.239 --> 0:40:02.680
<v Speaker 10>more systems to our customers.

0:40:03.640 --> 0:40:05.960
<v Speaker 4>All right, Oh, thanks to mere Hava, the CEO and

0:40:06.080 --> 0:40:07.880
<v Speaker 4>co founder of uv I.

0:40:08.560 --> 0:40:09.319
<v Speaker 7>Thank you very much.

0:40:10.200 --> 0:40:13.200
<v Speaker 4>That does it for this edition of Bloomberg Technology. Stay

0:40:13.239 --> 0:40:16.799
<v Speaker 4>with Bloomberg Television because we're speaking to the Nicola CEO,

0:40:16.920 --> 0:40:19.200
<v Speaker 4>Carol Michael Loscheller who's coming up with me and Matt

0:40:19.280 --> 0:40:22.239
<v Speaker 4>Miller and John. I meant in the next hour here

0:40:22.280 --> 0:40:24.560
<v Speaker 4>on Bloomberg TV to.

0:40:24.960 --> 0:40:27.400
<v Speaker 3>Power people that love all things autos. Sitting down with

0:40:27.480 --> 0:40:30.440
<v Speaker 3>Michael Mimmile. Do not forget to check out our podcast.

0:40:30.600 --> 0:40:32.560
<v Speaker 3>You can find it all on the terminal. You can

0:40:32.600 --> 0:40:35.120
<v Speaker 3>be online on Apple, Spotify, iHeart, wherever you like to

0:40:35.160 --> 0:40:36.000
<v Speaker 3>consume your audio.

0:40:36.120 --> 0:40:37.440
<v Speaker 5>Come do it with us and.

0:40:37.520 --> 0:40:40.000
<v Speaker 3>Get your AI fixed, because boy, are we focused on

0:40:40.080 --> 0:40:40.600
<v Speaker 3>it at the moment.

0:40:40.680 --> 0:40:43.040
<v Speaker 5>From New York. From San Francisco, this is a Bloomberg