WEBVTT - Ark Funds Sell Nvidia and AI's Impact on Travel

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<v Speaker 1>From Marhart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Love Love.

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<v Speaker 3>I'm Caroline Hyde back at Bloomberg's World headquarters in New York.

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<v Speaker 4>This is Bloomberg Technology Today Tech. It's on top. We

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<v Speaker 4>are diving into the AI rally.

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<v Speaker 3>He's looking at you, Marvell and Nvidia Hype versus Reality.

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<v Speaker 3>And later we have arts Kathy Wood joining to discuss

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<v Speaker 3>that rally.

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<v Speaker 4>Why she sold out of Nvidia in her flagship fund

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<v Speaker 4>at the start of the year.

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<v Speaker 3>And as we approach Memorial Day weekend, how is AI

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<v Speaker 3>changing how we travel? Choice Hotel cio. That's Brian Kirkland

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<v Speaker 3>is going to join to explain more on what to expect.

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<v Speaker 3>But first let's just have a look at the macro picture.

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<v Speaker 3>You know what is weighing over this market over the

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<v Speaker 3>last few trading days. It has been the debt ceiling demarcle.

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<v Speaker 3>It continues, still no answer, but there is hope is

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<v Speaker 3>driving the Nasdaq up one point eight percent As we

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<v Speaker 3>head towards the weekend, Volumes just a little bit thinner

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<v Speaker 3>ahead of the Memorial On weekend here in the United States,

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<v Speaker 3>two year yield actually seeing a reversal right there, you're

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<v Speaker 3>seeing seven basis points, almost eight basis points, still pushing high.

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<v Speaker 3>Is that on the flationary read that we see the

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<v Speaker 3>macro data coming in just showing that the Federal Reserve

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<v Speaker 3>still needs to tamp down on that all important price.

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<v Speaker 3>The PCE data that they can particularly look at more

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<v Speaker 3>four point four percent year on year growth. Bitcoin no

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<v Speaker 3>managing to get a bed as the US dollar.

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<v Speaker 4>Coming calms down a little.

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<v Speaker 3>Maybe we're not searching for such safety from the US

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<v Speaker 3>dollar today. Let's get the latest though on this debt sealing,

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<v Speaker 3>the negotiations, because it.

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<v Speaker 4>Is fast moving.

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<v Speaker 3>Bloomberg's Balance and Power co host Joe Matthew and Policea

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<v Speaker 3>says with us in Washington and just is it going

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<v Speaker 3>to be a busy weekend for future It's a great question.

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<v Speaker 5>It will be a working weekend for somebody. Even if

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<v Speaker 5>they come to a deal today, staffords are going to

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<v Speaker 5>have to work the weekend on Capitol Hill to actually

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<v Speaker 5>write legislation. Keep in mind, we're just talking really about

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<v Speaker 5>bullets here, top line points that would go into a

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<v Speaker 5>potential deal, and then that would start the clock ticking.

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<v Speaker 5>I will tell you that folks I talked to over

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<v Speaker 5>the course of the week on Capitol Hill were really

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<v Speaker 5>hoping Democrats and Republicans to have something done before the

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<v Speaker 5>weekend so investors wouldn't have a lot of fear going

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<v Speaker 5>long into a long weekend, and it's really unclear if

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<v Speaker 5>that's going to happen. There is a sense that something

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<v Speaker 5>may come about here today as they start to narrow differences,

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<v Speaker 5>And it's interesting here some of the more significant budget

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<v Speaker 5>cuts that had been demanded by Republicans appear to not

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<v Speaker 5>actually be happening here. This actually could be a bit

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<v Speaker 5>of a wash with what we're seeing, and I do

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<v Speaker 5>want to stress there's a lot we don't know. Even

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<v Speaker 5>some of the things we're hearing could change over the

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<v Speaker 5>course of this day as negotiators continue their work. What

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<v Speaker 5>we do have, though, is a likely two year raise

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<v Speaker 5>in the debt ceiling, two years in capping discretionary spending

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<v Speaker 5>for that period of time except the Pentagon. Defense spending

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<v Speaker 5>as we understand, would rise three percent next year, which

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<v Speaker 5>is in line in fact with President Biden's budget proposals.

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<v Speaker 5>Here would cut about ten billion dollars as well from

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<v Speaker 5>an eighty billion dollar chunk that was going to go

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<v Speaker 5>to the IRS as part of the Inflation Reduction Act.

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<v Speaker 5>There are some things we don't know about in terms

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<v Speaker 5>of what would happen to unspend COVID funding or for

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<v Speaker 5>that matter, permitting reform, which we've been hearing a lot about.

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<v Speaker 5>So it's really a critical moment here. It's very quiet

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<v Speaker 5>in Washington, and things are getting quiet around the negotiating

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<v Speaker 5>table as well at Caroline, which might in fact mean

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<v Speaker 5>that we are close to a deal.

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<v Speaker 3>Calm before the storm, bringingmo bouncer Power co host Joe Matthew,

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<v Speaker 3>We thank you so much. Let's dive into some of

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<v Speaker 3>your tech movizo on the day, because aside from politics,

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<v Speaker 3>we are front and center artificial intelligence on the day.

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<v Speaker 3>Just look at how some of these companies are being powered.

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<v Speaker 3>I want to first though, check in on what's happening

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<v Speaker 3>with Tesla because actually getting a nice rally here. Interestingly,

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<v Speaker 3>frenemies for the day forward plus Tesla maybe sharing some

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<v Speaker 3>of that charging infrastructure they do this deal, they go

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<v Speaker 3>on guess where Twitter spaces to discuss it. Tesla currently

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<v Speaker 3>riding high app amost six percent on the day in video,

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<v Speaker 3>though at one point eight percent after that enormous rally

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<v Speaker 3>the previous day their earnings, really adding what one hundred

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<v Speaker 3>and eighty billion in one day to the market capitalization.

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<v Speaker 4>We haven't really seen that.

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<v Speaker 3>Only three times in history have we've seen that sort

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<v Speaker 3>of market cap ad on one single day. Marvel playing

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<v Speaker 3>some catch up to look, this is a fifty billion

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<v Speaker 3>dollar overall market cap for this company, so nowhere near

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<v Speaker 3>the near trillion in video is coming upon. But Marvel

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<v Speaker 3>Technology also showing that artificial intelligence is the way for

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<v Speaker 3>chip makers at the moment, twenty seven percent rally as

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<v Speaker 3>their numbers show that official intelligence is going to be

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<v Speaker 3>driving their future revenue growth. Let's stick into that AI rally.

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<v Speaker 3>Let's go to a Wooloomberg. Intelligence is man deep singing

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<v Speaker 3>manded two hundred million dollars is there or thereabouts they

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<v Speaker 3>get from AI powered silicon, and it's going to grow,

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<v Speaker 3>if not double. They think, what four hundred million in

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<v Speaker 3>the fiscal twenty twenty.

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<v Speaker 6>Four, Yeah, and they're talking about eight hundred million now.

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<v Speaker 6>So that is what I think got the market excited.

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<v Speaker 6>But look, I think one thing is clear is inventory

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<v Speaker 6>bottoming is playing out for all or most of the

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<v Speaker 6>chip makers. I wouldn't say that for memory yet, but

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<v Speaker 6>for the fabulous chip makers, we saw that with Nvidia.

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<v Speaker 6>You know, they've raised their guidance by almost forty percent,

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<v Speaker 6>so we didn't see that kind of a guidance race.

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<v Speaker 6>But I think the bottoming part is almost certain given

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<v Speaker 6>what bea hearing from everybody.

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<v Speaker 4>Just remind us where Marvel has leaned in.

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<v Speaker 3>What are the in particular offering in terms of networking,

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<v Speaker 3>in terms of the ability to service what basically is

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<v Speaker 3>a huge compute need by nearly everyone right now.

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<v Speaker 6>Yeah, and the big change right now is things are

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<v Speaker 6>moving from CPUs towards these custom accelerators and that's what

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<v Speaker 6>you need for running large language models and doing generative AI.

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<v Speaker 6>And that's where Marvel, even though it's a niche player

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<v Speaker 6>when it comes to networking and storage, but that's how

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<v Speaker 6>you design those custom chips for you know, working as accelerators,

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<v Speaker 6>and you can do that with CPUs. Every hyperscaler is

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<v Speaker 6>kind of doing a combination of in Vidia GPU and

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<v Speaker 6>custom chips on the networking side, and that's where you

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<v Speaker 6>see the demand when it comes to a small chip

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<v Speaker 6>maker like Marvell.

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<v Speaker 3>Well, we can see the public market impact on the

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<v Speaker 3>day Bluemmeg intelligences mandats saying thank you so much for

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<v Speaker 3>breaking it down, and let's just think about how this

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<v Speaker 3>affects publicly traded companies, how it affects of course those

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<v Speaker 3>been raising capital in the private markets as well.

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<v Speaker 4>We're going to get the VC angle with Sarah.

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<v Speaker 3>Counstg's Clear Capital managing director and founder, and Sarah, you

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<v Speaker 3>hit me up on Instagram in fact, saying this in

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<v Speaker 3>Nvidia price point, the level that they're training at the

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<v Speaker 3>overall price, this is really hefty stuff. Where are you

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<v Speaker 3>starting to see the value in AI play, particularly on

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<v Speaker 3>the chip side of the equation.

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<v Speaker 7>I like Taiwan semi Conductors, right, you know, not only

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<v Speaker 7>are they a contract manufacturer who's providing services, you know

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<v Speaker 7>to messive companies like the Apples of the world, they

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<v Speaker 7>actually help in Nvidia, you know, do their chip manufacturing.

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<v Speaker 7>And so in Vidia is a good company. It has

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<v Speaker 7>done a great job of being relevant, you know, through crypto,

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<v Speaker 7>through AI, you know, through gaming over the last couple

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<v Speaker 7>of years. But the reality is that like it's getting

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<v Speaker 7>way too much credit for where it's real earnings are

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<v Speaker 7>and where the revenue is, and I think that that's

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<v Speaker 7>dangerous to keep buying into that kind of rally when

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<v Speaker 7>it's not clear.

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<v Speaker 2>That they're going to grow into those shoes Versus a

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<v Speaker 2>Taiwan semiconductor that candidly I think is close to undervalued

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<v Speaker 2>for all of the actual you know, amounts of chips

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<v Speaker 2>it's manufacturing and the technology there.

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<v Speaker 7>This technology is not something that's easy to build, but

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<v Speaker 7>it's something that there are several companies that do it.

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<v Speaker 7>And the reality right now one of those companies is

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<v Speaker 7>getting crazy credit and all the other companies are sort

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<v Speaker 7>of not feeling the loves.

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<v Speaker 3>Yeah, when I'm looking at what twenty times future earnings

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<v Speaker 3>is why we're currently trading at for TSMC. When you're

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<v Speaker 3>looking over that's what a price point is for in video,

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<v Speaker 3>we are fifty five times future earnings. Putting on your

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<v Speaker 3>hat and thinking about the companies within your portfolio. Have

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<v Speaker 3>you lent in in any way to some of the

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<v Speaker 3>under a lying infrastructure to help power the AI boom

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<v Speaker 3>that we're seeing. Is it more that you're having to

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<v Speaker 3>ready your portfolio companies for the disruption that AI and

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<v Speaker 3>indeed large language models and generative AI might have on them.

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<v Speaker 8>You know, it's a little bit of both.

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<v Speaker 7>I'm an investor in groc which is a TPU company.

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<v Speaker 7>You know, it spun out of Google and it's definitely

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<v Speaker 7>an interesting company in the space in the private sector

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<v Speaker 7>working on these chips started for autonomous vehicles, but a

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<v Speaker 7>lot of that you know, same technology and compute power

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<v Speaker 7>needed is incredibly relevant for AI in some of the

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<v Speaker 7>LLLMAI that we're seeing. And then you know, the reality

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<v Speaker 7>is that there's a lot of great software companies being

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<v Speaker 7>built around this as well. I'm an investor in Forethought,

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<v Speaker 7>which is a customer service AI company that's been doing

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<v Speaker 7>incredibly well for a few years. I'm an investor in

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<v Speaker 7>in Global Metals, which is a rare earth mineral mining

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<v Speaker 7>company that actually uses AI to figure out, you know,

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<v Speaker 7>where can we get more lithium, Where can we get

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<v Speaker 7>more of these rare materials that we need to make

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<v Speaker 7>our batteries for everything from you know, our tesla is

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<v Speaker 7>to our iPhones because right now it's just incredibly hard.

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<v Speaker 8>And expensive to source that material.

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<v Speaker 7>So, you know, if software was eating the world fifteen

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<v Speaker 7>years ago, I think it's reasonable to say now that.

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<v Speaker 4>AI is it is.

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<v Speaker 3>And yet Sarah must be inundated with emails that suddenly

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<v Speaker 3>have companies vaguely reworking themselves, repivoting themselves to seemingly be

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<v Speaker 3>adopting this new sea change. How easy is it and

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<v Speaker 3>understandable is it to ensure that you're getting the right

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<v Speaker 3>founder and indeed the right business model built upon it.

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<v Speaker 8>Yeah? Absolutely.

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<v Speaker 7>You know, the reality is that a lot of people

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<v Speaker 7>who were Web three companies a year ago, and you know,

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<v Speaker 7>big data companies three years before that, are now suddenly

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<v Speaker 7>AI companies. And they either have the smartest, most you know,

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<v Speaker 7>visionary founders in the world who just can never quite

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<v Speaker 7>get a product launch, or you know, they're hustle and

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<v Speaker 7>they're trying to make it work. But the reality is

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<v Speaker 7>that you know, they're they're sort.

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<v Speaker 8>Of chasing the trend.

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<v Speaker 7>And so the nice thing about AI is that it's

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<v Speaker 7>not an easy space, meaning that if you come in

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<v Speaker 7>and you don't have pretty significant you know, engineering experience,

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<v Speaker 7>you don't have some experience with AI, with you know, mL,

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<v Speaker 7>with with large language models, all of those things, you know,

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<v Speaker 7>it's incredibly hard to say that that you have a

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<v Speaker 7>chance incredibly building. Now, could you build a really slight

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<v Speaker 7>consumer application that pulls in you know, that relies on

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<v Speaker 7>on APIs from existing AI companies absolutely, and I think

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<v Speaker 7>we'll see a lot of those, and that's not a

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<v Speaker 7>bad thing, but it is surprisingly somewhat easy to tell

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<v Speaker 7>who's real and who's not because very few people have,

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<v Speaker 7>you know, the technical background that's going to allow them

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<v Speaker 7>to make a fundamental breakthrough in AI, and even the

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<v Speaker 7>fundamental breakthrough is take an incredibly long time. They're in expensive,

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<v Speaker 7>and so there's just not going.

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<v Speaker 8>To be a ton of them.

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<v Speaker 3>When you multi stage bench capital firms such as yourself,

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<v Speaker 3>how do you decide what size of company you want

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<v Speaker 3>to be getting in on at this particular level, what

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<v Speaker 3>sort of valuation you can even be picking, because what

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<v Speaker 3>are the comparables out there in the public market When

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<v Speaker 3>you're seeing such enormous rallies in a place like Nvidia.

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<v Speaker 7>I mean, I think that you have to be practical.

0:11:21.559 --> 0:11:23.920
<v Speaker 7>Right right now, venture is definitely on a bit of

0:11:23.960 --> 0:11:26.719
<v Speaker 7>a downturn, and the only area where you're seeing these

0:11:26.760 --> 0:11:31.000
<v Speaker 7>sort of unreasonable or sky high valuations is in AI.

0:11:31.480 --> 0:11:33.520
<v Speaker 7>And you know, if you think that somebody is building

0:11:33.520 --> 0:11:36.880
<v Speaker 7>a company that has a real fundamental sort of intellectual

0:11:36.920 --> 0:11:39.360
<v Speaker 7>property mode that could truly change the world, like you

0:11:39.480 --> 0:11:41.240
<v Speaker 7>actually believe that it's the next Google.

0:11:41.559 --> 0:11:42.240
<v Speaker 8>It's the next.

0:11:42.080 --> 0:11:46.120
<v Speaker 7>Google, then maybe you do invest in a slightly higher valuation. However,

0:11:46.400 --> 0:11:47.800
<v Speaker 7>you know, I think what a lot of people do

0:11:47.880 --> 0:11:50.679
<v Speaker 7>is they're just sort of jumping on h you know,

0:11:50.840 --> 0:11:54.760
<v Speaker 7>any pitch deck that looks interesting, and they're pain prices

0:11:54.800 --> 0:11:57.000
<v Speaker 7>that are just completely you know, out of whack to

0:11:57.120 --> 0:12:00.600
<v Speaker 7>reality and the market right now in venture and so

0:12:00.960 --> 0:12:03.120
<v Speaker 7>you know, for me, I've been doing a lot of

0:12:03.160 --> 0:12:05.960
<v Speaker 7>my AI investing a little bit later when it's a

0:12:05.960 --> 0:12:09.120
<v Speaker 7>little bit de risk because a lot of my AI

0:12:09.160 --> 0:12:12.400
<v Speaker 7>founders are doing more kind of fundamental uh you know,

0:12:12.520 --> 0:12:15.199
<v Speaker 7>work where you don't know it day zero, how it's

0:12:15.240 --> 0:12:17.920
<v Speaker 7>going to pan out. I think early stage AI investing

0:12:18.000 --> 0:12:22.280
<v Speaker 7>right now, you know, is incredibly incredibly risky, unless again,

0:12:22.320 --> 0:12:26.040
<v Speaker 7>it's something that's building you know, building a consumer enterprise

0:12:26.120 --> 0:12:30.040
<v Speaker 7>interface that upfront they say, look, we're using GPT, we're

0:12:30.160 --> 0:12:34.160
<v Speaker 7>using you know, these existing AI tools you know, to

0:12:34.240 --> 0:12:36.120
<v Speaker 7>make it easier to do X, y Z.

0:12:36.480 --> 0:12:36.680
<v Speaker 8>Great.

0:12:36.880 --> 0:12:39.040
<v Speaker 7>That's an interesting business that I believe you might be

0:12:39.040 --> 0:12:41.760
<v Speaker 7>able to scale much more easily than the idea that

0:12:42.040 --> 0:12:43.920
<v Speaker 7>you know, two women in a garage are going to

0:12:43.960 --> 0:12:46.560
<v Speaker 7>go make the next you know, AI super chip.

0:12:47.280 --> 0:12:49.560
<v Speaker 3>Here so the two women, but the Clear Capital managing

0:12:49.559 --> 0:12:52.600
<v Speaker 3>director and founder Sericans really great to have some time

0:12:52.640 --> 0:13:03.760
<v Speaker 3>with you. Thank you. Builder AI it's an AI powered

0:13:03.800 --> 0:13:06.080
<v Speaker 3>software platform. It's raised more than two hundred fifty million

0:13:06.080 --> 0:13:09.800
<v Speaker 3>dollars in its Series D fundraising led by Qia the

0:13:09.920 --> 0:13:13.000
<v Speaker 3>Kata Fund. I sat down with a co founder such

0:13:13.040 --> 0:13:15.840
<v Speaker 3>an dev Doogle at the Cator Economic Forum, where he

0:13:15.960 --> 0:13:18.960
<v Speaker 3>discussed the importance of digital innovation and in fact well

0:13:19.000 --> 0:13:22.319
<v Speaker 3>the investment he received from that sovereign player and how

0:13:22.320 --> 0:13:23.160
<v Speaker 3>it married with VC.

0:13:23.440 --> 0:13:24.079
<v Speaker 4>Just take a listen.

0:13:26.320 --> 0:13:29.599
<v Speaker 9>Our total round was two on a fifty million. The

0:13:29.760 --> 0:13:34.080
<v Speaker 9>region for US is really important, not only the GCC,

0:13:34.240 --> 0:13:37.560
<v Speaker 9>but also because we think between the markets here, there's

0:13:37.679 --> 0:13:40.120
<v Speaker 9>so much digital innovation that's going on, so many small

0:13:40.160 --> 0:13:43.320
<v Speaker 9>businesses that are now building software. But I think the

0:13:43.320 --> 0:13:46.760
<v Speaker 9>second thing is, especially with the QIA, they're a very

0:13:46.840 --> 0:13:50.040
<v Speaker 9>patient investor and long term capital and when you're trying

0:13:50.040 --> 0:13:54.240
<v Speaker 9>to build something generational, you're going to make mistakes and

0:13:54.280 --> 0:13:55.920
<v Speaker 9>you're going to learn from those mistakes. And you want

0:13:55.960 --> 0:13:58.600
<v Speaker 9>someone that's not running necessarily a seven year cycle. Yeah,

0:13:58.640 --> 0:13:59.800
<v Speaker 9>but they're really thinking about the.

0:13:59.720 --> 0:14:00.719
<v Speaker 4>World at large.

0:14:01.080 --> 0:14:04.959
<v Speaker 3>You, of course kept on some previous investors insight for example,

0:14:05.840 --> 0:14:08.360
<v Speaker 3>what's interesting do vcs do you think have to be

0:14:08.400 --> 0:14:12.200
<v Speaker 3>worried about basically startups now going direct to sovereign wealth funds?

0:14:12.280 --> 0:14:14.640
<v Speaker 4>Is that becoming an obvious form of capital now?

0:14:14.800 --> 0:14:17.200
<v Speaker 3>Not me evening to see these sort of you know,

0:14:17.320 --> 0:14:19.040
<v Speaker 3>middle people who are benched capital.

0:14:19.920 --> 0:14:22.800
<v Speaker 9>Look, I think it's different, right, I don't see the

0:14:22.800 --> 0:14:26.080
<v Speaker 9>big sovereigns writing one million dollar checks, ten million dollar checks.

0:14:27.800 --> 0:14:30.920
<v Speaker 9>I definitely think Series C and D or the early

0:14:31.040 --> 0:14:34.359
<v Speaker 9>end of it. But you could easily crossover into sovereigns

0:14:34.400 --> 0:14:36.480
<v Speaker 9>just like you could cross into crossover funds at that point.

0:14:37.560 --> 0:14:39.840
<v Speaker 9>It really depends on what you're building. Yeah, if you're

0:14:39.880 --> 0:14:44.160
<v Speaker 9>if you're building to be acquired, you're probably well suited

0:14:44.200 --> 0:14:46.520
<v Speaker 9>towards a more venture style investment.

0:14:47.880 --> 0:14:50.440
<v Speaker 4>If you're building where it's.

0:14:50.400 --> 0:14:54.600
<v Speaker 9>Sort of a bit more generational, it's it's a bigger platform.

0:14:55.120 --> 0:14:56.320
<v Speaker 4>You want to have the right mix.

0:14:56.320 --> 0:14:58.240
<v Speaker 9>It's always a balance, right, So we want to have

0:14:58.320 --> 0:15:01.960
<v Speaker 9>an insight, we want have an iconic, but we also

0:15:02.000 --> 0:15:04.080
<v Speaker 9>want to have a QIA And what it does is

0:15:04.080 --> 0:15:06.520
<v Speaker 9>it gives us a right cause but also the right connectivity.

0:15:07.400 --> 0:15:09.320
<v Speaker 3>That's so interesting that you say, what you're looking to

0:15:09.360 --> 0:15:11.880
<v Speaker 3>build because perhaps people might have gotten the wrong end

0:15:11.920 --> 0:15:13.560
<v Speaker 3>of the stick a few weeks ago when they saw

0:15:13.600 --> 0:15:16.080
<v Speaker 3>that you took money from Microsoft and you're building within

0:15:16.800 --> 0:15:20.560
<v Speaker 3>their platform, offering your services on Microsoft.

0:15:20.920 --> 0:15:22.040
<v Speaker 4>Why did you do that?

0:15:22.160 --> 0:15:24.720
<v Speaker 3>If you're looking, I'm trying to insinuate the between the

0:15:24.800 --> 0:15:27.680
<v Speaker 3>lines that you're building to be a big public company,

0:15:27.720 --> 0:15:29.640
<v Speaker 3>individual and scale great heights.

0:15:30.080 --> 0:15:33.840
<v Speaker 9>Look and it might sound raisen, We're looking to build

0:15:33.840 --> 0:15:36.400
<v Speaker 9>a triger lot of business. We're not looking to sell

0:15:36.480 --> 0:15:40.080
<v Speaker 9>for a few billions, not ourmo because it's never about

0:15:40.120 --> 0:15:43.880
<v Speaker 9>the money, as much as money is important. And so

0:15:43.920 --> 0:15:48.240
<v Speaker 9>when you're looking to build that big and you're looking

0:15:48.280 --> 0:15:50.920
<v Speaker 9>to be that grassroot. And how suffer is used, Office

0:15:50.960 --> 0:15:54.920
<v Speaker 9>is used everywhere, Windows is used everywhere. There's a lot

0:15:54.920 --> 0:15:56.480
<v Speaker 9>of patterns you learn from someone that sort of solved

0:15:56.520 --> 0:15:59.960
<v Speaker 9>the problem. I think the second is always again it's balanced.

0:16:00.360 --> 0:16:03.440
<v Speaker 9>And so we have two corporates that have had worked

0:16:03.440 --> 0:16:06.080
<v Speaker 9>with us. One we haven't disclosed yet for obvious seasons.

0:16:06.640 --> 0:16:10.880
<v Speaker 9>But with Microsoft, the key was alignment around mission and

0:16:11.000 --> 0:16:16.440
<v Speaker 9>they want to digitally transferm the world. Aligner around values

0:16:17.560 --> 0:16:23.200
<v Speaker 9>we just get along so important and it's a balance

0:16:23.240 --> 0:16:26.600
<v Speaker 9>also with our cap table. Yeah, because it's not an

0:16:26.600 --> 0:16:29.720
<v Speaker 9>investment because that's an exit. It's an investment because there

0:16:29.760 --> 0:16:31.760
<v Speaker 9>is joint value that can be created when you bring

0:16:31.760 --> 0:16:33.240
<v Speaker 9>those two platforms together.

0:16:33.640 --> 0:16:36.600
<v Speaker 3>Such a dev Doogle co foundal builder AI that helps

0:16:36.600 --> 0:16:39.600
<v Speaker 3>anyone be able to build websites, apps, you name it. Now,

0:16:39.720 --> 0:16:41.640
<v Speaker 3>let's take a look at some of the impact of

0:16:41.840 --> 0:16:45.280
<v Speaker 3>artificial intelligence on the financial sector, in particular, what differentiates

0:16:45.280 --> 0:16:48.080
<v Speaker 3>companies kind of slapping on chatbots to existing tech to

0:16:48.200 --> 0:16:51.320
<v Speaker 3>marketing and saying, look, this is us, this is AI.

0:16:52.160 --> 0:16:53.520
<v Speaker 4>Maybe we're starting to call.

0:16:53.400 --> 0:16:57.120
<v Speaker 3>It AI washing, and well those actually are on the

0:16:57.160 --> 0:16:59.920
<v Speaker 3>differentiated side. Who's actually building the artificial in products of

0:17:00.000 --> 0:17:02.600
<v Speaker 3>people really need? That's bring in ramse you is Eric

0:17:02.720 --> 0:17:03.680
<v Speaker 3>Gyman for more.

0:17:03.520 --> 0:17:06.600
<v Speaker 4>On this, because you've been coining and using this frame

0:17:07.640 --> 0:17:08.480
<v Speaker 4>AI washing.

0:17:08.880 --> 0:17:11.560
<v Speaker 3>Everyone doing it like who is out there at the

0:17:11.560 --> 0:17:13.879
<v Speaker 3>moment sort of naming that they've got some large language

0:17:13.880 --> 0:17:15.520
<v Speaker 3>of model and d got some chatbot that's going to

0:17:15.520 --> 0:17:16.399
<v Speaker 3>solve all your issues.

0:17:16.840 --> 0:17:20.399
<v Speaker 10>I think far more companies are marketing the use of AI,

0:17:20.480 --> 0:17:22.280
<v Speaker 10>how they have a chatlot that's going to revolutionize their

0:17:22.320 --> 0:17:24.840
<v Speaker 10>industry than you're truly trying to solve problems for me.

0:17:24.960 --> 0:17:26.920
<v Speaker 10>I've never met a customer who said, I just wish

0:17:27.000 --> 0:17:28.719
<v Speaker 10>I could chat with my bank account. I would ask

0:17:28.800 --> 0:17:31.240
<v Speaker 10>a questions and learn things. Instead, they tend to ask

0:17:31.280 --> 0:17:33.000
<v Speaker 10>things like I'd like to pay less for this service

0:17:33.040 --> 0:17:35.440
<v Speaker 10>and paying for I'd like to automate my accounting, close

0:17:35.480 --> 0:17:37.720
<v Speaker 10>my books quicker. Those are the kind of things. So

0:17:37.760 --> 0:17:40.720
<v Speaker 10>I think often if you see companies claiming AI, but

0:17:40.800 --> 0:17:44.920
<v Speaker 10>you can't find real customers behind it, they're not talking

0:17:44.960 --> 0:17:47.920
<v Speaker 10>about how they're integrating AI truly into the workflow of

0:17:47.960 --> 0:17:50.200
<v Speaker 10>their software. It's probably AI washing.

0:17:50.960 --> 0:17:53.240
<v Speaker 3>Okay, So how do you ensure that what you're trying

0:17:53.240 --> 0:17:55.560
<v Speaker 3>to market, what you're trying to say, doesn't come across

0:17:55.600 --> 0:17:56.040
<v Speaker 3>as washing.

0:17:56.359 --> 0:17:59.680
<v Speaker 10>It really starts first with starting with the customer trying

0:17:59.680 --> 0:18:02.040
<v Speaker 10>to under stand their pain points. For us, our mission

0:18:02.080 --> 0:18:04.280
<v Speaker 10>is to help companies spend less money in time. We

0:18:04.359 --> 0:18:06.280
<v Speaker 10>help the average customer cut there since by three and

0:18:06.280 --> 0:18:08.399
<v Speaker 10>a half percent per year. And so one of the

0:18:08.480 --> 0:18:11.600
<v Speaker 10>first things we did is within the user interface start

0:18:11.640 --> 0:18:15.720
<v Speaker 10>to show companies where upon renewal customers maybe getting quoted

0:18:15.800 --> 0:18:17.520
<v Speaker 10>higher rates than the rest of the market. So if

0:18:17.560 --> 0:18:19.639
<v Speaker 10>you're paying for a software vendor and another customer is

0:18:19.640 --> 0:18:22.880
<v Speaker 10>getting twenty percent less integrating it into the interface. It's

0:18:22.920 --> 0:18:27.000
<v Speaker 10>not creating new novel interfaces people aren't already using, like

0:18:27.080 --> 0:18:29.639
<v Speaker 10>chat interfaces, but including it and where people do things

0:18:29.760 --> 0:18:33.200
<v Speaker 10>next having it fade away. We automate expense reports by

0:18:33.240 --> 0:18:37.040
<v Speaker 10>polling receipts when available from whether it's email, text messages,

0:18:37.080 --> 0:18:39.200
<v Speaker 10>so you don't need to add additional step. I think

0:18:39.200 --> 0:18:41.800
<v Speaker 10>a lot of great AI is invisible, so.

0:18:41.720 --> 0:18:43.840
<v Speaker 3>It's sort of running in the background being far more efficient.

0:18:43.960 --> 0:18:46.280
<v Speaker 3>You don't suddenly realize how much more productive it's actually

0:18:46.359 --> 0:18:50.080
<v Speaker 3>made you. From the perspective of which companies are coming

0:18:50.160 --> 0:18:52.639
<v Speaker 3>to you asking for these sorts of issues. Have you

0:18:52.680 --> 0:18:54.800
<v Speaker 3>had calls saying, look, I just need to understand what

0:18:54.920 --> 0:18:57.240
<v Speaker 3>artificial intelligence offering is. Or is it more that they

0:18:57.320 --> 0:19:00.360
<v Speaker 3>are calling from wherever they are geographically saying I need

0:19:00.359 --> 0:19:03.200
<v Speaker 3>to cut expenses in this current economic environment.

0:19:03.680 --> 0:19:05.960
<v Speaker 10>It's a great question, certainly the latter. You know, we're

0:19:06.000 --> 0:19:09.760
<v Speaker 10>supporting over fifteen thousand businesses, whether it's publicly traded companies

0:19:09.800 --> 0:19:13.600
<v Speaker 10>like Event Rights to Sierra Nevada Brewing Company, you know,

0:19:13.680 --> 0:19:15.960
<v Speaker 10>to local businesses, and often what they're trying to do

0:19:16.000 --> 0:19:18.880
<v Speaker 10>is say, look, I'm spending a lot already. Whether it's

0:19:18.920 --> 0:19:23.840
<v Speaker 10>thousands to millions per year. I'd like to cut expenses down.

0:19:24.440 --> 0:19:27.240
<v Speaker 10>We spend a lot more time on closing our books,

0:19:27.240 --> 0:19:32.680
<v Speaker 10>on our accountants manually keeping books and records, tagging transactions. Instead,

0:19:32.760 --> 0:19:35.240
<v Speaker 10>often they're asking i'd like to cut that time down

0:19:35.480 --> 0:19:38.320
<v Speaker 10>so controllers can be asking strategic questions about the business,

0:19:38.320 --> 0:19:40.520
<v Speaker 10>not bogged down and manual work. So it tends to

0:19:40.520 --> 0:19:42.720
<v Speaker 10>come from the pin point they're actually happening, not if

0:19:42.720 --> 0:19:45.359
<v Speaker 10>there's this new technology, can you find some use for

0:19:45.440 --> 0:19:45.879
<v Speaker 10>it for me?

0:19:46.280 --> 0:19:48.399
<v Speaker 3>What about you though? As an employer, I think of

0:19:48.440 --> 0:19:50.720
<v Speaker 3>what IBM came out and said. Look, ultimately, our back

0:19:50.720 --> 0:19:53.000
<v Speaker 3>office in particular can be shoun by at least a third.

0:19:53.040 --> 0:19:56.119
<v Speaker 3>How are you thinking about either the productivity of your

0:19:56.200 --> 0:19:57.960
<v Speaker 3>labor or the fact that perhaps you don't have to

0:19:57.960 --> 0:19:59.600
<v Speaker 3>beef up your own talent pool.

0:19:59.400 --> 0:19:59.960
<v Speaker 4>As much as you see.

0:20:01.119 --> 0:20:03.200
<v Speaker 10>You know, look, if you came to someone and said

0:20:03.240 --> 0:20:05.359
<v Speaker 10>we're going to make someone on your sales team able

0:20:05.400 --> 0:20:08.640
<v Speaker 10>to sell fifty percent more contracts, you'd say, I want

0:20:08.680 --> 0:20:11.359
<v Speaker 10>more of that. I'd like to hire more salespeople just

0:20:11.440 --> 0:20:13.360
<v Speaker 10>like that. And we think that's exactly the case. When

0:20:13.359 --> 0:20:15.879
<v Speaker 10>you have members of your finance team, for example, that

0:20:15.960 --> 0:20:17.760
<v Speaker 10>have a lot more time in the day, and they're

0:20:17.800 --> 0:20:21.040
<v Speaker 10>able not to be tagging receipts, you know, checking on

0:20:21.119 --> 0:20:23.600
<v Speaker 10>what prices are, but instaid, getting better deals, closing your

0:20:23.600 --> 0:20:27.520
<v Speaker 10>books faster, and fundamentally focusing on the strategic areas you

0:20:27.560 --> 0:20:30.760
<v Speaker 10>can be investing on higher return on investment. I want

0:20:30.800 --> 0:20:32.960
<v Speaker 10>more folks like that. I think that's true in sales.

0:20:33.000 --> 0:20:34.840
<v Speaker 10>I think it's true in finance. I think it's true

0:20:35.200 --> 0:20:37.719
<v Speaker 10>in any part of an organization. And so I believe

0:20:37.960 --> 0:20:41.159
<v Speaker 10>people will be more productive over time and rather than

0:20:41.200 --> 0:20:45.320
<v Speaker 10>working on low value tasks, making businesses better, more profitable businesses.

0:20:45.800 --> 0:20:49.720
<v Speaker 3>That's the optimism I'm CEO. Thank you, Eric Leiman. Meanwhile,

0:20:49.800 --> 0:20:52.680
<v Speaker 3>stell ahead look a unique pack between Tesler and Ford.

0:20:52.680 --> 0:20:55.679
<v Speaker 3>It's aimed accelerating EV adoption. I'm going to tell you

0:20:55.680 --> 0:20:58.359
<v Speaker 3>more about it next time for Talking Tech.

0:20:59.080 --> 0:21:10.600
<v Speaker 4>This is a pretty much in his time now for

0:21:10.640 --> 0:21:11.120
<v Speaker 4>Talking Tech.

0:21:11.119 --> 0:21:14.560
<v Speaker 3>First up, a rare partnership between electric car rivals Tesla

0:21:14.600 --> 0:21:15.000
<v Speaker 3>and Ford.

0:21:15.040 --> 0:21:17.080
<v Speaker 4>They're starting in spring twenty twenty four.

0:21:17.560 --> 0:21:20.119
<v Speaker 3>Ford customers will have access to more than twelve thousand

0:21:20.200 --> 0:21:23.800
<v Speaker 3>Tesla superchargers across the US and Canada. Fords evs we'll

0:21:23.800 --> 0:21:26.320
<v Speaker 3>have to use a special adapter, but as later models

0:21:26.320 --> 0:21:29.080
<v Speaker 3>will have the Tesla charging capability built in starting twenty

0:21:29.119 --> 0:21:32.040
<v Speaker 3>twenty five. Then JP Morgan is working on a service

0:21:32.040 --> 0:21:36.200
<v Speaker 3>software that's the likeness of chat GPT. CNBC reporting saying

0:21:36.200 --> 0:21:39.440
<v Speaker 3>that the firm applied to trademark product called index GPT

0:21:39.880 --> 0:21:42.879
<v Speaker 3>service will help customers select investments tailored to.

0:21:42.880 --> 0:21:46.320
<v Speaker 4>Their specific needs. Flowers shares a Workday surging after.

0:21:46.160 --> 0:21:48.639
<v Speaker 3>It narrowed its outlook for annual subscription revenue. It's a

0:21:48.720 --> 0:21:51.600
<v Speaker 3>key metric for measuring the demand for workday software, which

0:21:51.640 --> 0:21:55.159
<v Speaker 3>helps businesses manage HR related tasks. Workday also appointed a

0:21:55.160 --> 0:21:57.280
<v Speaker 3>new CFO, Zane Raw from VMware.

0:21:57.760 --> 0:22:00.840
<v Speaker 4>Coming up. How is AI impacting the travel industry?

0:22:01.040 --> 0:22:04.640
<v Speaker 3>We'll talk more with more from Choice Hotels CIO Brian Kirkland.

0:22:04.960 --> 0:22:06.080
<v Speaker 4>This is a Bloomberg.

0:22:15.280 --> 0:22:18.200
<v Speaker 3>Welcome back to Bloomberg Technology and Caroline Hyde in New York. Now,

0:22:18.280 --> 0:22:21.520
<v Speaker 3>let's talk about travel because Clear just think about the

0:22:21.520 --> 0:22:22.880
<v Speaker 3>way in which you get through an airport.

0:22:23.000 --> 0:22:25.000
<v Speaker 4>Well, it's fees. Are they still worth it?

0:22:25.440 --> 0:22:27.880
<v Speaker 3>Now that the TSA lines are kind of getting faster themselves,

0:22:28.000 --> 0:22:31.159
<v Speaker 3>That's what many customers are wandering lately. Clear's lines have

0:22:31.240 --> 0:22:35.240
<v Speaker 3>been backing up themselves with some annoyed travelers citinglack of staff,

0:22:35.320 --> 0:22:38.439
<v Speaker 3>some ffical computers, and at times clumsy process of escorting

0:22:38.480 --> 0:22:41.400
<v Speaker 3>people to TSA checkpoints, which could all be, of course,

0:22:41.440 --> 0:22:45.119
<v Speaker 3>potentially due to Clear's own success and it's explosive growth.

0:22:45.480 --> 0:22:47.399
<v Speaker 3>And let's just stay in the travel industry now and

0:22:47.440 --> 0:22:50.480
<v Speaker 3>take a look at how generative AI could transform it

0:22:50.520 --> 0:22:53.160
<v Speaker 3>and please to say, Choice Hotels CIO Brian Kirkland joins

0:22:53.200 --> 0:22:55.360
<v Speaker 3>us now to talk about, well, how have you as

0:22:55.359 --> 0:22:59.040
<v Speaker 3>a business been thinking about generative artificial intelligence been able

0:22:59.080 --> 0:23:01.359
<v Speaker 3>to ensure that, look, hotels are full when you want.

0:23:01.200 --> 0:23:01.520
<v Speaker 4>Them to be.

0:23:03.400 --> 0:23:04.840
<v Speaker 11>You know, at the end of the day, Choice is

0:23:04.840 --> 0:23:07.080
<v Speaker 11>a company We've been using AI for a long time.

0:23:07.200 --> 0:23:09.480
<v Speaker 11>Generative AI has the buzz right now, it's the thing

0:23:09.480 --> 0:23:12.080
<v Speaker 11>that everybody's talking about, but really the Choice We've been

0:23:12.160 --> 0:23:13.840
<v Speaker 11>using AI for a long time. We have a lot

0:23:13.880 --> 0:23:16.280
<v Speaker 11>of systems out there, like our Choicemax system. It's a

0:23:16.320 --> 0:23:19.119
<v Speaker 11>revenue management strategy and program that we rolled out that

0:23:19.200 --> 0:23:21.720
<v Speaker 11>puts that decision making in front of the franchisees to

0:23:21.720 --> 0:23:23.800
<v Speaker 11>be able to look at data from millions of data

0:23:23.840 --> 0:23:26.760
<v Speaker 11>sets from all over the internet to figure out what

0:23:26.880 --> 0:23:29.000
<v Speaker 11>is the right travel strategy when our guests going to

0:23:29.000 --> 0:23:31.119
<v Speaker 11>show up, what kind of state do they want? And

0:23:31.200 --> 0:23:33.960
<v Speaker 11>look at the right rate and revenue management strategy for

0:23:34.040 --> 0:23:35.440
<v Speaker 11>their hotels. And they can do that from the beach

0:23:35.480 --> 0:23:38.119
<v Speaker 11>if they want, on their own vacation. So it's a

0:23:38.119 --> 0:23:39.720
<v Speaker 11>lot of fun for them to be able to manage

0:23:39.720 --> 0:23:41.919
<v Speaker 11>their hotel that way. And we've been using AI for

0:23:41.920 --> 0:23:44.040
<v Speaker 11>a long time to try to deal with just exactly

0:23:44.080 --> 0:23:44.760
<v Speaker 11>what you're talking about.

0:23:44.880 --> 0:23:46.840
<v Speaker 3>I hope you're not advocating people should be working well

0:23:46.880 --> 0:23:49.400
<v Speaker 3>on the vacation bran, but talk to us a little

0:23:49.440 --> 0:23:52.960
<v Speaker 3>bit about Okay, I understand that perhaps this weekend is going.

0:23:52.920 --> 0:23:53.600
<v Speaker 4>To be a big one.

0:23:53.640 --> 0:23:56.159
<v Speaker 3>I'm suddenly going to have basically ninety percent of my

0:23:56.320 --> 0:23:59.119
<v Speaker 3>hotel full. Is it more about ensuring you have the

0:23:59.200 --> 0:24:02.280
<v Speaker 3>right staffing? What is it that they take from these

0:24:02.400 --> 0:24:04.760
<v Speaker 3>data points?

0:24:04.560 --> 0:24:06.879
<v Speaker 11>It's everything, right. It goes all the way from the

0:24:06.880 --> 0:24:09.240
<v Speaker 11>developers at the very beginning of the cycle to figure

0:24:09.280 --> 0:24:10.760
<v Speaker 11>out what is the right hotel and where is the

0:24:10.840 --> 0:24:15.399
<v Speaker 11>right hotel the franchisees managing and optimizing their staffing, looking

0:24:15.440 --> 0:24:19.160
<v Speaker 11>at just the inventory they're buying, looking at the way

0:24:19.160 --> 0:24:22.159
<v Speaker 11>they maximize their efficiency in the hotel, and then the

0:24:22.200 --> 0:24:24.240
<v Speaker 11>consumer is putting in front of them where they want

0:24:24.240 --> 0:24:27.440
<v Speaker 11>to go and what matches them for Our Choice privileges

0:24:27.680 --> 0:24:30.400
<v Speaker 11>customers to be able to look at their historical trends

0:24:30.400 --> 0:24:32.480
<v Speaker 11>and figure out, Okay, what's going to make you happiest

0:24:32.560 --> 0:24:35.040
<v Speaker 11>in your journey in your trip and then make sure that

0:24:35.040 --> 0:24:37.520
<v Speaker 11>the hotels are ready to be at full full war

0:24:37.560 --> 0:24:38.280
<v Speaker 11>when you show up.

0:24:38.680 --> 0:24:40.800
<v Speaker 3>You claim to be the first hotel company to create

0:24:40.880 --> 0:24:43.600
<v Speaker 3>your own cloud based reservation system on AWS.

0:24:44.440 --> 0:24:47.040
<v Speaker 4>Ultimately, how is that? You know?

0:24:47.160 --> 0:24:49.760
<v Speaker 3>How have you thought as CIO to be ahead of

0:24:49.800 --> 0:24:50.520
<v Speaker 3>the curve in that way?

0:24:50.600 --> 0:24:52.320
<v Speaker 4>How heavy a lift was it?

0:24:54.600 --> 0:24:56.600
<v Speaker 11>After their journey with the cloud and the journey with

0:24:56.960 --> 0:25:00.719
<v Speaker 11>transformative technology started years and years ago. The first company

0:25:00.720 --> 0:25:02.760
<v Speaker 11>to put a property management system in the cloud back

0:25:02.760 --> 0:25:04.879
<v Speaker 11>in two thousand and five, and with Choice Edge, when

0:25:04.880 --> 0:25:06.520
<v Speaker 11>we rolled that out, it was the first of its kind,

0:25:06.520 --> 0:25:08.440
<v Speaker 11>and we were the first company to commit to going

0:25:08.440 --> 0:25:11.359
<v Speaker 11>all in with AWS. And it really boils down to

0:25:11.480 --> 0:25:15.080
<v Speaker 11>having a board and a leadership group that really understand

0:25:15.320 --> 0:25:17.320
<v Speaker 11>I the end of the day, Choice is three companies

0:25:17.320 --> 0:25:20.880
<v Speaker 11>in one. We're a hospitality company, we're a technology company,

0:25:20.920 --> 0:25:24.000
<v Speaker 11>and we're a franchising company, and that technology arn't really

0:25:24.000 --> 0:25:27.200
<v Speaker 11>does get the investment. We put the effort and energy

0:25:27.200 --> 0:25:29.320
<v Speaker 11>in the building Choice Max in the middle of the pandemic.

0:25:29.560 --> 0:25:33.359
<v Speaker 11>Instead of kind of worrying about that the pandemic, the

0:25:34.520 --> 0:25:37.000
<v Speaker 11>energy was put into investment right in figuring out how

0:25:37.000 --> 0:25:38.560
<v Speaker 11>do we make sure that we come out ahead. So

0:25:38.600 --> 0:25:40.080
<v Speaker 11>we rolled it out in the middle of the pandemic

0:25:40.119 --> 0:25:42.920
<v Speaker 11>and it's been a huge asset for our franchise ease.

0:25:43.480 --> 0:25:47.440
<v Speaker 3>So as that board was potentially not in serious talks,

0:25:47.520 --> 0:25:50.640
<v Speaker 3>but potentially in talks to be eyeing another company, there

0:25:50.640 --> 0:25:52.959
<v Speaker 3>are reports that Choice Hotels have been looking at Windham

0:25:53.040 --> 0:25:55.840
<v Speaker 3>for example. How easy or hard would that be to

0:25:55.880 --> 0:25:59.080
<v Speaker 3>integrate another company if indeed a deal was going through.

0:26:00.760 --> 0:26:03.199
<v Speaker 11>You know, I can't speculate on deals like that, But

0:26:03.240 --> 0:26:05.240
<v Speaker 11>at the end of the day, generative AI or AI

0:26:05.320 --> 0:26:08.080
<v Speaker 11>in general, it allows you to take data from all

0:26:08.119 --> 0:26:10.760
<v Speaker 11>over the world and take millions of data sets and

0:26:10.800 --> 0:26:13.800
<v Speaker 11>react quickly to information. So the things we're doing with

0:26:13.840 --> 0:26:16.760
<v Speaker 11>our planning, things we're doing for guests, the things we're

0:26:16.760 --> 0:26:19.240
<v Speaker 11>doing with picking the right location for a hotel, picking

0:26:19.240 --> 0:26:21.520
<v Speaker 11>the right revenue management strategy, all of those things are

0:26:21.600 --> 0:26:25.520
<v Speaker 11>cored in the ability to use AI, and with technology

0:26:25.520 --> 0:26:27.600
<v Speaker 11>where it's at and with the cloud where it's at today,

0:26:27.920 --> 0:26:29.800
<v Speaker 11>we get to do that faster, quicker, better than we

0:26:29.840 --> 0:26:31.760
<v Speaker 11>ever have been able to do in the past. So

0:26:31.840 --> 0:26:35.159
<v Speaker 11>all of those technologies lead to the ability to react,

0:26:35.160 --> 0:26:36.720
<v Speaker 11>to make decisions better and faster.

0:26:37.359 --> 0:26:39.520
<v Speaker 3>Do you think you said generative AI is the hot

0:26:39.560 --> 0:26:42.480
<v Speaker 3>thing right now? Ultimately will that be weaved in far

0:26:42.600 --> 0:26:46.560
<v Speaker 3>much more into my customer experience If you're already integrating

0:26:46.600 --> 0:26:49.320
<v Speaker 3>artificial intelligence throughout from a predictive point of view, but

0:26:49.320 --> 0:26:52.320
<v Speaker 3>from a generational point of view, are you able to

0:26:52.359 --> 0:26:55.480
<v Speaker 3>save on your own costs on the hotel franchisees, own

0:26:55.520 --> 0:26:58.480
<v Speaker 3>own customer service hires for example.

0:27:00.200 --> 0:27:02.000
<v Speaker 11>Absolutely. I think one of the things that we're paying

0:27:02.000 --> 0:27:03.800
<v Speaker 11>a lot of potention we're working with our partners on

0:27:03.960 --> 0:27:06.479
<v Speaker 11>is generative AI has all the buzz right now. It's

0:27:06.560 --> 0:27:09.479
<v Speaker 11>the thing that everybody's looking at to be commercially viable

0:27:09.520 --> 0:27:11.919
<v Speaker 11>and to be something that really transforms how we do

0:27:12.080 --> 0:27:15.720
<v Speaker 11>business and not just how guests and people in the

0:27:15.760 --> 0:27:18.840
<v Speaker 11>world use generative AI for the great amazing things that

0:27:18.920 --> 0:27:21.159
<v Speaker 11>does right now, but to commercially use it, we need

0:27:21.160 --> 0:27:23.080
<v Speaker 11>to make sure that we can securely use it, so

0:27:23.080 --> 0:27:24.639
<v Speaker 11>how do we get private data sets in there, how

0:27:24.640 --> 0:27:27.000
<v Speaker 11>do we curate the answer to make sure that, for example,

0:27:27.000 --> 0:27:30.920
<v Speaker 11>if we use that system to enable our guests to

0:27:31.000 --> 0:27:33.600
<v Speaker 11>find answers fast about what they're doing in our hotels

0:27:33.760 --> 0:27:35.840
<v Speaker 11>or to our franchises to figure out what's the right

0:27:35.880 --> 0:27:39.399
<v Speaker 11>type of strategy or even the policies around how they

0:27:39.800 --> 0:27:42.080
<v Speaker 11>run the business, to make sure that the right answer

0:27:42.160 --> 0:27:44.399
<v Speaker 11>is coming back. So it's curated, it's accurate, it's not

0:27:44.440 --> 0:27:46.680
<v Speaker 11>based on old data. It's based on the current set

0:27:46.720 --> 0:27:49.359
<v Speaker 11>of policies that maybe changed yesterday, right, those types of things.

0:27:49.359 --> 0:27:52.280
<v Speaker 11>So when we merge the power of generative AI with

0:27:52.320 --> 0:27:54.360
<v Speaker 11>the ability to do it with the private data set

0:27:54.400 --> 0:27:56.840
<v Speaker 11>that's curated, then you really have something. And that's something

0:27:56.880 --> 0:27:58.560
<v Speaker 11>we're talking about with some of our partners and looking

0:27:58.560 --> 0:28:02.040
<v Speaker 11>at I know Amazon with Bedrock recently talked about that

0:28:02.080 --> 0:28:04.520
<v Speaker 11>in a Microsoft talking about that. So those things are coming.

0:28:04.840 --> 0:28:06.600
<v Speaker 11>When they do, it will be transformative.

0:28:07.119 --> 0:28:09.520
<v Speaker 3>Brian, great to speak with you. Go have a wonderful

0:28:09.640 --> 0:28:12.960
<v Speaker 3>Memorial weekend. I'm sure you will be Choice Hotels CIO

0:28:13.359 --> 0:28:15.960
<v Speaker 3>Brian Kackland. Now coming up, we've got to get back

0:28:15.960 --> 0:28:18.120
<v Speaker 3>to it in video. Getting close to a one trillion

0:28:18.160 --> 0:28:22.359
<v Speaker 3>dollar market valuation, So traders really feed into this AI rally.

0:28:22.760 --> 0:28:24.960
<v Speaker 3>We're going to get Kathy Wood's perspective, of course, CEO,

0:28:25.080 --> 0:28:27.680
<v Speaker 3>chief Investment Officer of ARC invest share her thoughts on

0:28:27.720 --> 0:28:30.840
<v Speaker 3>the recent frenzy, why perhaps they dial back their overall

0:28:30.840 --> 0:28:33.639
<v Speaker 3>exposure to InVideo, but she does have exposure to this

0:28:33.680 --> 0:28:35.800
<v Speaker 3>one palanteer check it out shares currently at more than

0:28:35.840 --> 0:28:38.000
<v Speaker 3>seven percent. Remember this is another company saying that they

0:28:38.000 --> 0:28:40.320
<v Speaker 3>are all in in AI. In fact, they want the

0:28:40.360 --> 0:28:58.320
<v Speaker 3>whole market from New York, this Bloomberg. I want to

0:28:58.320 --> 0:29:02.600
<v Speaker 3>welcome Bloomberg television and radio listeners to Blomberg Technology. Of course,

0:29:02.600 --> 0:29:05.960
<v Speaker 3>the biggest techt story of the day surrounding artificial intelligence,

0:29:06.000 --> 0:29:07.880
<v Speaker 3>you know it, and of course the recent rally in

0:29:07.920 --> 0:29:10.320
<v Speaker 3>the chip maker and video. I pleased to say we've

0:29:10.360 --> 0:29:12.360
<v Speaker 3>got the perfect guest joining us on this now, our

0:29:12.520 --> 0:29:16.920
<v Speaker 3>CEO CIO founder Kathy Would, who basically as one as

0:29:16.960 --> 0:29:19.720
<v Speaker 3>our Eric belchunis a re Bloemberg intelligence put it said,

0:29:19.720 --> 0:29:20.800
<v Speaker 3>you were in video.

0:29:20.560 --> 0:29:21.360
<v Speaker 4>Before it was cool.

0:29:21.480 --> 0:29:23.840
<v Speaker 3>You were buying it at four dollars back in twenty fourteen.

0:29:23.880 --> 0:29:25.840
<v Speaker 3>You rode the wave on this particular stock. Kathy to

0:29:25.880 --> 0:29:28.360
<v Speaker 3>three hundred and thirty back in twenty twenty one. But

0:29:28.480 --> 0:29:33.600
<v Speaker 3>the recent rally you've missed because the flagship Arc Innovation

0:29:33.640 --> 0:29:36.800
<v Speaker 3>ETF you sold out of your mainstake back in January.

0:29:37.280 --> 0:29:40.560
<v Speaker 8>Why yes, So if you.

0:29:42.280 --> 0:29:45.320
<v Speaker 1>Were very positive on in video, we have been very

0:29:45.320 --> 0:29:48.960
<v Speaker 1>positive on Nvidio. We bought it down when it hit

0:29:49.120 --> 0:29:52.240
<v Speaker 1>nearly one hundred dollars in the fourth quarter last year,

0:29:53.160 --> 0:29:57.160
<v Speaker 1>and then it tripled as some of our other AI

0:29:57.320 --> 0:30:02.320
<v Speaker 1>oriented stocks stood still. So you know, we're looking at

0:30:02.440 --> 0:30:04.480
<v Speaker 1>believe it or not, many people do not believe this

0:30:04.600 --> 0:30:08.560
<v Speaker 1>about us. We're looking at relative valuations of names in

0:30:08.600 --> 0:30:12.200
<v Speaker 1>the AI space, and we were looking at Nvidia at

0:30:12.280 --> 0:30:16.360
<v Speaker 1>twenty five times sales, which is where it is, and Tesla,

0:30:16.400 --> 0:30:20.680
<v Speaker 1>which is probably the biggest AI story out there, is

0:30:20.720 --> 0:30:25.720
<v Speaker 1>at six times earnings. UiPath yesterday, I mean not earning

0:30:25.760 --> 0:30:30.800
<v Speaker 1>six times sales. UiPath yesterday reported it is a beautiful

0:30:30.920 --> 0:30:32.040
<v Speaker 1>AI play.

0:30:32.480 --> 0:30:33.400
<v Speaker 8>It too is at.

0:30:33.280 --> 0:30:36.440
<v Speaker 1>Six times sales, and as far as in video goes,

0:30:36.440 --> 0:30:41.160
<v Speaker 1>there are few reasons we take some pause. It still

0:30:41.400 --> 0:30:44.640
<v Speaker 1>meets our minimum hurdle rate of return, so fifteen percent

0:30:44.680 --> 0:30:47.280
<v Speaker 1>in a compound annual rate over five years, and so

0:30:47.320 --> 0:30:50.120
<v Speaker 1>you'll see it in some of our more specialized portfolios.

0:30:50.840 --> 0:30:53.160
<v Speaker 1>We're looking for.

0:30:52.600 --> 0:30:53.360
<v Speaker 8>The better values.

0:30:53.360 --> 0:30:58.240
<v Speaker 1>But the risks to in Vidia would include cyclical When

0:30:58.240 --> 0:31:03.280
<v Speaker 1>I hear shortages, shortages, shortages about GPUs or anything, I

0:31:03.400 --> 0:31:08.960
<v Speaker 1>begin to think about about the cyclicality of a group competition.

0:31:09.680 --> 0:31:14.040
<v Speaker 1>Tesla is coming up with its own chip meta platforms,

0:31:14.160 --> 0:31:19.760
<v Speaker 1>Google their own chips for more specialized large language models,

0:31:20.760 --> 0:31:24.440
<v Speaker 1>and then the tech itself. We're learning from meta platforms.

0:31:24.520 --> 0:31:30.160
<v Speaker 1>The Lama model is able to do with less computing power.

0:31:30.200 --> 0:31:31.920
<v Speaker 8>But more data.

0:31:32.160 --> 0:31:34.960
<v Speaker 1>It's able to deliver better models. So there are puts

0:31:34.960 --> 0:31:36.480
<v Speaker 1>and takes here, as there always are.

0:31:36.840 --> 0:31:39.360
<v Speaker 3>How many frustrated investors have got in touch with you

0:31:39.520 --> 0:31:42.560
<v Speaker 3>via Twitter or the other forms in which you connect

0:31:42.600 --> 0:31:45.240
<v Speaker 3>with your own purchases of the ETFs, I mean there

0:31:45.320 --> 0:31:47.040
<v Speaker 3>must have been a lot of frustration that you kept

0:31:47.080 --> 0:31:49.760
<v Speaker 3>it in some funds but not the main ACHTF.

0:31:49.800 --> 0:31:53.160
<v Speaker 1>Well, i'll tell you what has happened mostly is people

0:31:53.200 --> 0:31:56.680
<v Speaker 1>who understood the nvideo story. We were pounding the table

0:31:56.720 --> 0:32:00.959
<v Speaker 1>on it on twenty fourteen, you know, really to twenty

0:32:01.160 --> 0:32:05.560
<v Speaker 1>twenty one, and many people actually put it into their portfolios,

0:32:05.560 --> 0:32:07.160
<v Speaker 1>their own portfolios, and they may.

0:32:07.040 --> 0:32:10.480
<v Speaker 8>Have held it. We have not gotten much pushback. And

0:32:10.520 --> 0:32:12.000
<v Speaker 8>the reason is people know.

0:32:13.040 --> 0:32:16.880
<v Speaker 1>That we are on we are on AI, but we're

0:32:16.920 --> 0:32:19.400
<v Speaker 1>doing it in a little bit of a differentiated way.

0:32:19.640 --> 0:32:22.520
<v Speaker 1>Nvidia has become a check the box stock. That's why

0:32:22.520 --> 0:32:23.560
<v Speaker 1>the valuation is.

0:32:23.520 --> 0:32:24.080
<v Speaker 8>Where it is.

0:32:25.720 --> 0:32:30.000
<v Speaker 1>But we are looking for those plays that have not

0:32:30.080 --> 0:32:35.080
<v Speaker 1>only the vision from management team point of view and

0:32:35.320 --> 0:32:41.520
<v Speaker 1>broad distribution, but also proprietary data and AI expertise. So

0:32:42.520 --> 0:32:46.480
<v Speaker 1>we're just pivoting to another set of plays that most

0:32:46.480 --> 0:32:49.360
<v Speaker 1>people have not discovered yet, much like they did not

0:32:49.520 --> 0:32:53.520
<v Speaker 1>understand that a video was an AI play really until

0:32:53.600 --> 0:32:54.280
<v Speaker 1>very recently.

0:32:54.960 --> 0:32:59.920
<v Speaker 3>So Palentea you mentioned, or UiPath you mentioned, Hasli you mentioned.

0:33:00.480 --> 0:33:03.680
<v Speaker 3>There's actually quite a few, though it seems relatively limited

0:33:03.960 --> 0:33:06.720
<v Speaker 3>overall AI focused names that you have. Am I missing

0:33:06.800 --> 0:33:10.040
<v Speaker 3>something there or the far more AI exposure within your

0:33:10.080 --> 0:33:12.840
<v Speaker 3>flagship fund or are you really just deciding that there

0:33:12.880 --> 0:33:14.800
<v Speaker 3>are going to be a few key names that you back.

0:33:15.880 --> 0:33:18.720
<v Speaker 8>No, Twilio would be another name.

0:33:18.760 --> 0:33:24.680
<v Speaker 1>Almost every company except for well actually even including the

0:33:24.920 --> 0:33:32.240
<v Speaker 1>multiomics companies like Exact Sciences are using their own proprietary

0:33:32.360 --> 0:33:36.479
<v Speaker 1>data and their broad distribution networks to gather information and

0:33:36.520 --> 0:33:40.400
<v Speaker 1>create better products and services. So I would say almost

0:33:40.520 --> 0:33:44.920
<v Speaker 1>every company that we have in the portfolio is in

0:33:45.000 --> 0:33:48.200
<v Speaker 1>some way, shape or form. We ask the question, how

0:33:48.240 --> 0:33:53.800
<v Speaker 1>are you harnessing this powerful tool called artificial intelligence?

0:33:54.480 --> 0:33:56.720
<v Speaker 8>And I would say ninety.

0:33:56.360 --> 0:33:59.840
<v Speaker 1>Percent of the names in the portfolio are harnessing it

0:34:00.080 --> 0:34:03.280
<v Speaker 1>and do have proprietary data we'll call my eye.

0:34:03.320 --> 0:34:05.720
<v Speaker 3>And we've actually seen so much disruption already to the

0:34:05.760 --> 0:34:09.680
<v Speaker 3>market capitalization of companies when they have found themselves disrupted by,

0:34:09.960 --> 0:34:11.360
<v Speaker 3>for example, the chat GPT.

0:34:11.480 --> 0:34:13.000
<v Speaker 4>I think of cheg the education company.

0:34:13.040 --> 0:34:16.279
<v Speaker 3>But you noted that Apple, for example, it's apps platform

0:34:16.440 --> 0:34:20.160
<v Speaker 3>could be disintermediated by chat GPT platforms. Is that a

0:34:20.239 --> 0:34:22.320
<v Speaker 3>key company that we need to worry about being disrupted?

0:34:22.320 --> 0:34:24.040
<v Speaker 3>What other names do you think that come to mind

0:34:24.040 --> 0:34:26.600
<v Speaker 3>that maybe the market has it wrong on how much

0:34:26.600 --> 0:34:28.920
<v Speaker 3>they could be overwhelmed by this new competitor.

0:34:29.800 --> 0:34:34.200
<v Speaker 1>Well, for Google, chat GPT was either the worst thing

0:34:34.280 --> 0:34:37.279
<v Speaker 1>that has ever happened to it or maybe the best thing.

0:34:38.200 --> 0:34:41.040
<v Speaker 1>We tend to think it's going to be disintermediated though

0:34:41.560 --> 0:34:45.640
<v Speaker 1>by chat GPT and other chat but so we're not

0:34:45.760 --> 0:34:49.759
<v Speaker 1>going to need the kind of search and therefore advertising

0:34:49.920 --> 0:34:56.640
<v Speaker 1>that drives Google's model, So we do worry about that one, and.

0:34:56.640 --> 0:35:00.000
<v Speaker 8>As you said Apple, you know there are.

0:35:00.120 --> 0:35:03.920
<v Speaker 1>Many people who think that even Amazon is going to

0:35:03.960 --> 0:35:08.080
<v Speaker 1>be disrupted, not only by social commerce, so people just

0:35:08.960 --> 0:35:16.319
<v Speaker 1>shopping through Instagram and other social media sites, Pinterest, but

0:35:17.440 --> 0:35:22.759
<v Speaker 1>it also could be disintermediated, as if consumers use chat,

0:35:23.080 --> 0:35:27.160
<v Speaker 1>GPT and other AI tools to say I want exactly

0:35:27.239 --> 0:35:30.160
<v Speaker 1>this kind of item at the cheapest price anywhere in

0:35:30.200 --> 0:35:33.200
<v Speaker 1>the world, and we go directly to that source. So

0:35:33.840 --> 0:35:39.560
<v Speaker 1>you know, any platform that has served as an intermediary

0:35:40.200 --> 0:35:41.600
<v Speaker 1>is at risk.

0:35:41.680 --> 0:35:45.200
<v Speaker 3>We would say you've name checked a couple of metas

0:35:45.239 --> 0:35:48.960
<v Speaker 3>things now Instagram and you mentioned Lama. Is meta something

0:35:48.960 --> 0:35:52.799
<v Speaker 3>that you're doubling down on from an AI perspective, So meta.

0:35:52.760 --> 0:35:57.040
<v Speaker 8>Is interesting to us. We do like what it is doing.

0:35:57.400 --> 0:36:01.279
<v Speaker 1>We love its sophistication and the fact that Mark Zuckerberg

0:36:01.480 --> 0:36:05.880
<v Speaker 1>is now prioritizing artificial intelligence as opposed to the metaverse,

0:36:05.920 --> 0:36:09.200
<v Speaker 1>which was really what he was focused on last year.

0:36:10.040 --> 0:36:16.600
<v Speaker 8>So yes, we're interested in metas play here.

0:36:16.640 --> 0:36:19.000
<v Speaker 1>We don't have it in the flagship portfolio, we do

0:36:19.080 --> 0:36:20.680
<v Speaker 1>have it in other portfolios.

0:36:21.400 --> 0:36:24.480
<v Speaker 3>We'll speaking with Kathy Woods, CEO, chief investment officer of

0:36:24.640 --> 0:36:26.960
<v Speaker 3>ARC invest just to go back to where we started

0:36:26.960 --> 0:36:29.200
<v Speaker 3>in Nvidia, is there any.

0:36:29.239 --> 0:36:30.400
<v Speaker 4>Entry point that gets you back in.

0:36:30.480 --> 0:36:32.560
<v Speaker 3>You've actually been selling out from some of the other

0:36:32.560 --> 0:36:36.279
<v Speaker 3>funds a little bit, perhaps with the profit that you've

0:36:36.280 --> 0:36:38.560
<v Speaker 3>recently taken in the run up in the last couple

0:36:38.560 --> 0:36:42.480
<v Speaker 3>of days. Anything that, despite its head evaluation, make you go, Okay,

0:36:42.520 --> 0:36:44.239
<v Speaker 3>it's not going to be disrupted in the way that

0:36:44.239 --> 0:36:46.000
<v Speaker 3>we were worrying. We're not going to see the supply

0:36:46.080 --> 0:36:46.600
<v Speaker 3>chain rec have.

0:36:46.719 --> 0:36:51.759
<v Speaker 1>It, you know, anything for a price. I would say

0:36:51.840 --> 0:36:55.359
<v Speaker 1>if this cycle were to worry, we tend to think

0:36:55.400 --> 0:36:59.719
<v Speaker 1>we're going to have a harder landing than most economists

0:36:59.760 --> 0:37:04.240
<v Speaker 1>do if the cycle were to hit it. And Nvidia

0:37:04.320 --> 0:37:08.200
<v Speaker 1>surprisingly gets hit very hard by cycles because the inventory

0:37:08.239 --> 0:37:10.919
<v Speaker 1>builds up build ups, and I would say we're in

0:37:10.960 --> 0:37:12.120
<v Speaker 1>one of those right now.

0:37:12.920 --> 0:37:14.280
<v Speaker 8>Are so spectacular.

0:37:14.719 --> 0:37:18.160
<v Speaker 1>If we have a combination of a correction and the

0:37:18.280 --> 0:37:22.680
<v Speaker 1>recognition by the marketplace perhaps that some of these models

0:37:22.760 --> 0:37:25.560
<v Speaker 1>don't have to be as large and don't need as

0:37:25.640 --> 0:37:32.040
<v Speaker 1>much computing power as more companies use more specialized models,

0:37:32.760 --> 0:37:35.239
<v Speaker 1>you know, you get the confluence of a reality check.

0:37:35.600 --> 0:37:38.520
<v Speaker 1>You know, in Video is just a very powerful company.

0:37:38.280 --> 0:37:42.719
<v Speaker 1>They are so exquisitely positioned in the space, but you're

0:37:42.760 --> 0:37:43.960
<v Speaker 1>paying for it now.

0:37:45.280 --> 0:37:46.800
<v Speaker 4>Having bought it at four dollars.

0:37:47.160 --> 0:37:49.600
<v Speaker 3>How did it make you feel in your stomach when

0:37:49.600 --> 0:37:52.120
<v Speaker 3>you saw one hundred and eighty billion added in one

0:37:52.200 --> 0:37:53.680
<v Speaker 3>day like it did yesterday.

0:37:54.920 --> 0:37:58.960
<v Speaker 1>Well, the frustration yesterday was another one of our AIE

0:37:58.960 --> 0:38:05.600
<v Speaker 1>Playspath reported a quarter and revealed some products AI products

0:38:05.640 --> 0:38:09.360
<v Speaker 1>and really opened the kimono a little bit more in

0:38:09.480 --> 0:38:11.719
<v Speaker 1>terms of what it is doing on the AI friend

0:38:11.760 --> 0:38:14.480
<v Speaker 1>and it's going to be one of the most interesting

0:38:14.520 --> 0:38:18.040
<v Speaker 1>plays out there. I think it was down ten percent

0:38:18.160 --> 0:38:22.400
<v Speaker 1>after beating numbers because it talked about the economy being

0:38:23.320 --> 0:38:29.320
<v Speaker 1>somewhat variable I think is the word as using it's

0:38:30.160 --> 0:38:33.399
<v Speaker 1>it was fact focused on the macros and that's what

0:38:34.120 --> 0:38:36.839
<v Speaker 1>analysts focused on. Now it's having a good day. It's

0:38:36.920 --> 0:38:38.880
<v Speaker 1>up about ten percent today, I think.

0:38:39.200 --> 0:38:40.080
<v Speaker 4>Nine percent on the day.

0:38:40.160 --> 0:38:41.880
<v Speaker 3>So you didn't feel like you didn't feel any frustration

0:38:41.920 --> 0:38:42.480
<v Speaker 3>about in video.

0:38:42.520 --> 0:38:44.200
<v Speaker 4>You're more focused on the iPath.

0:38:44.800 --> 0:38:47.880
<v Speaker 1>Of course, of course, and we published our trades at

0:38:47.880 --> 0:38:50.520
<v Speaker 1>the end of every day, and you'll see we bought

0:38:50.880 --> 0:38:53.480
<v Speaker 1>UiPath in almost all of our portfolios.

0:38:53.520 --> 0:38:59.360
<v Speaker 8>Aarkk Ark Wark f arkq.

0:38:59.719 --> 0:39:04.160
<v Speaker 1>So you know, we use those opportunities when we feel

0:39:04.160 --> 0:39:07.280
<v Speaker 1>like the market isn't seeing something that we are, especially

0:39:07.280 --> 0:39:09.319
<v Speaker 1>when it relates to artificial intelligence.

0:39:09.360 --> 0:39:12.799
<v Speaker 3>So tell us what you're seeing with XAI or with

0:39:13.239 --> 0:39:16.600
<v Speaker 3>Tazla's focus on AI. Today, Tesla getting bought because it's

0:39:16.640 --> 0:39:19.280
<v Speaker 3>done to deal with ford on its electrication and indeed

0:39:19.280 --> 0:39:21.600
<v Speaker 3>the way in which you charge a cause. But what

0:39:21.640 --> 0:39:23.560
<v Speaker 3>are we perhaps missing when it comes to being the

0:39:23.600 --> 0:39:25.319
<v Speaker 3>number one artificial play as you just.

0:39:25.280 --> 0:39:31.320
<v Speaker 1>Said, Yes, the autonomous taxi network that we believe Tesla

0:39:31.480 --> 0:39:35.600
<v Speaker 1>is building, it has more data, talk about proprietary data.

0:39:35.640 --> 0:39:40.440
<v Speaker 1>It has more data of real world driving miles than

0:39:40.520 --> 0:39:44.040
<v Speaker 1>all of the other auto companies and technology companies like

0:39:44.080 --> 0:39:47.640
<v Speaker 1>WEIMO put together around the world. We would say except

0:39:47.719 --> 0:39:50.440
<v Speaker 1>for perhaps China, because we don't know exactly what's going

0:39:50.480 --> 0:39:54.840
<v Speaker 1>on there, and we do believe that the autonomous taxi

0:39:54.880 --> 0:39:56.760
<v Speaker 1>platform opportunity is a winner.

0:39:56.800 --> 0:39:58.080
<v Speaker 8>Take most opportunity.

0:39:58.600 --> 0:40:02.880
<v Speaker 1>The company that gets a person in an autonomous vehicle

0:40:02.920 --> 0:40:07.440
<v Speaker 1>from point A to point B as quickly and safely

0:40:07.600 --> 0:40:10.680
<v Speaker 1>as possible is probably going to get the line's chair

0:40:10.680 --> 0:40:13.560
<v Speaker 1>of the market, and that company will in the United States,

0:40:14.280 --> 0:40:18.719
<v Speaker 1>we believe be Tesla, and we believe globally that opportunity

0:40:18.760 --> 0:40:22.719
<v Speaker 1>will scale from zero today to eight to ten trillion

0:40:22.840 --> 0:40:27.439
<v Speaker 1>dollars in revenues by twenty thirty. So you can see

0:40:27.440 --> 0:40:30.719
<v Speaker 1>why we're so excited by Tesla. It is it is

0:40:30.840 --> 0:40:34.799
<v Speaker 1>the furthest advanced from an AI point of view, and

0:40:34.840 --> 0:40:41.239
<v Speaker 1>it's even becoming a manufacturer of factories using artificial intelligence

0:40:41.239 --> 0:40:45.760
<v Speaker 1>and becoming more and more and more efficient in manufacturing

0:40:46.640 --> 0:40:51.640
<v Speaker 1>factories and cars. We think it's the most efficient in

0:40:51.680 --> 0:40:52.680
<v Speaker 1>the world right now.

0:40:52.640 --> 0:40:55.840
<v Speaker 3>Land manufacturing in China, Kathy, and I'm interested in you

0:40:56.480 --> 0:40:59.360
<v Speaker 3>reference this worry about maybe it's not a worry.

0:40:59.160 --> 0:41:00.960
<v Speaker 4>You talk about least in the US.

0:41:01.200 --> 0:41:04.360
<v Speaker 3>All you're looking at China remaining exposed to China amid

0:41:04.400 --> 0:41:06.880
<v Speaker 3>the trade tensions and indeed the tech tensions.

0:41:07.600 --> 0:41:11.880
<v Speaker 1>Yes, we our history with China after COVID was We

0:41:12.000 --> 0:41:15.360
<v Speaker 1>plowed in during COVID because we liked what China was

0:41:15.400 --> 0:41:17.520
<v Speaker 1>doing from a monetary and fiscal point of view.

0:41:17.520 --> 0:41:19.360
<v Speaker 8>They were they were not overdoing it.

0:41:20.200 --> 0:41:22.759
<v Speaker 1>And then of course we entered the period starting in

0:41:22.800 --> 0:41:28.160
<v Speaker 1>November of twenty where you know, managements were basically banished

0:41:28.160 --> 0:41:31.239
<v Speaker 1>from their companies and there we were. There was one

0:41:31.280 --> 0:41:35.280
<v Speaker 1>restriction and regulation after another, and so we've pulled away

0:41:35.480 --> 0:41:42.560
<v Speaker 1>quite significantly. Common prosperity, it seems means very low profit

0:41:42.640 --> 0:41:48.040
<v Speaker 1>margins UH and services that reach into tier one tier

0:41:48.080 --> 0:41:54.160
<v Speaker 1>two cities, So JD Logistics and JD we have some

0:41:54.239 --> 0:41:59.080
<v Speaker 1>of that, but we have minimized our exposure until until

0:41:59.600 --> 0:42:03.920
<v Speaker 1>China basically seems more inviting to capital.

0:42:04.040 --> 0:42:07.760
<v Speaker 4>Once again, that's all politics. Closer to home, the debt ceiling.

0:42:08.400 --> 0:42:12.520
<v Speaker 3>When they say debacle debate, deal still not done, default

0:42:12.600 --> 0:42:15.360
<v Speaker 3>being uttered, what do you think about that?

0:42:15.440 --> 0:42:16.040
<v Speaker 4>Are you worried?

0:42:17.640 --> 0:42:20.480
<v Speaker 1>You know, with our five year investment time horizon and

0:42:20.560 --> 0:42:24.880
<v Speaker 1>having been around this block a number of times, we

0:42:25.040 --> 0:42:28.000
<v Speaker 1>know they're going to come to a deal. They are

0:42:28.040 --> 0:42:33.000
<v Speaker 1>not going to deprive government employees of their paychecks Social Security,

0:42:33.640 --> 0:42:38.160
<v Speaker 1>so retires of their paychecks would be politically disastrous. As

0:42:38.160 --> 0:42:41.720
<v Speaker 1>we're heading into this election year and already the field

0:42:41.760 --> 0:42:45.319
<v Speaker 1>has heated up so so significantly, so they're going to

0:42:45.320 --> 0:42:48.200
<v Speaker 1>get through this. It's a very short term phenomenon.

0:42:48.320 --> 0:42:49.680
<v Speaker 8>It might be a short.

0:42:49.520 --> 0:42:53.799
<v Speaker 1>Term fix and hopefully they do get serious about this

0:42:53.920 --> 0:42:56.160
<v Speaker 1>at some point in time, but we don't think now

0:42:56.280 --> 0:42:56.840
<v Speaker 1>is the time.

0:42:57.600 --> 0:43:00.680
<v Speaker 3>We're speaking with Kathy Woods CEO and CIO, i'll invest

0:43:01.080 --> 0:43:05.279
<v Speaker 3>you of course, have been really frustrated yourself with a

0:43:05.280 --> 0:43:08.520
<v Speaker 3>federal reserve. You've said, in particular, inflation is something they

0:43:08.560 --> 0:43:12.239
<v Speaker 3>shouldn't be looking at. You still think that there's deflation

0:43:12.560 --> 0:43:15.040
<v Speaker 3>out there. But then when we get a CPE or

0:43:15.080 --> 0:43:18.120
<v Speaker 3>PC print like we did today, the personal consumption expenditure

0:43:18.280 --> 0:43:22.080
<v Speaker 3>four point four percent, is that still to you the

0:43:22.120 --> 0:43:25.000
<v Speaker 3>wrong day to be looking at? Or you think deflation

0:43:25.120 --> 0:43:26.280
<v Speaker 3>is coming after this swiftly?

0:43:27.320 --> 0:43:27.560
<v Speaker 8>Yes.

0:43:27.800 --> 0:43:31.560
<v Speaker 1>I think when history books are written, we'll look back

0:43:31.600 --> 0:43:35.560
<v Speaker 1>at this period and we'll see the sharp rise in inflation,

0:43:36.600 --> 0:43:41.440
<v Speaker 1>which was caused by massive supply chain, really supply shocks

0:43:41.800 --> 0:43:45.799
<v Speaker 1>from COVID and the war in Ukraine, and you will

0:43:45.840 --> 0:43:50.319
<v Speaker 1>see so sharp increase and it feels like it's so

0:43:50.400 --> 0:43:51.680
<v Speaker 1>slowly coming down.

0:43:52.120 --> 0:43:53.800
<v Speaker 8>But when the charts, when.

0:43:53.680 --> 0:43:56.840
<v Speaker 1>You start looking at these charts in history, this decline

0:43:56.960 --> 0:44:00.600
<v Speaker 1>will be look very like it was very rapid, and

0:44:00.719 --> 0:44:07.800
<v Speaker 1>we will descend into deflationary territory. Don Luswin wrote a piece,

0:44:08.239 --> 0:44:10.440
<v Speaker 1>it was an editorial in the Wall Street Journal. I

0:44:10.440 --> 0:44:15.520
<v Speaker 1>believe about this, and I think the FED is going

0:44:15.600 --> 0:44:20.600
<v Speaker 1>to be blamed for sending us into a deflationary period.

0:44:20.719 --> 0:44:25.920
<v Speaker 1>Already we're getting negative signs for guidance home Depot. It's

0:44:25.960 --> 0:44:30.560
<v Speaker 1>same store sales down three to five percent for the year.

0:44:30.680 --> 0:44:36.000
<v Speaker 1>Now they're expecting we got GDI, which is the other side,

0:44:36.000 --> 0:44:41.479
<v Speaker 1>so global gross domestic income which is the other side

0:44:41.480 --> 0:44:44.759
<v Speaker 1>of gross domestic product, and they need to equal, but

0:44:44.840 --> 0:44:48.520
<v Speaker 1>they're at a record gap right now. It's been negative

0:44:48.760 --> 0:44:53.560
<v Speaker 1>so in recession territory for the last two quarters, and

0:44:53.920 --> 0:44:56.960
<v Speaker 1>I think many companies are going to feel a hard

0:44:57.040 --> 0:44:59.600
<v Speaker 1>landing and it's going to come both from units, and

0:45:00.000 --> 0:45:04.200
<v Speaker 1>I think more and more companies are reporting this on.

0:45:04.120 --> 0:45:05.200
<v Speaker 8>Their earnings report.

0:45:05.680 --> 0:45:09.960
<v Speaker 1>These these economic statistics that take all the oxygen out

0:45:09.960 --> 0:45:13.439
<v Speaker 1>of the room are hugely lagging and they're not even

0:45:13.560 --> 0:45:16.640
<v Speaker 1>getting it right. If you look at the digital world.

0:45:16.719 --> 0:45:20.640
<v Speaker 1>Gross domestic product was that statistic was devised in the

0:45:20.719 --> 0:45:24.319
<v Speaker 1>industrial age. We're in the digital age right now, so

0:45:24.360 --> 0:45:29.280
<v Speaker 1>we paid more attention to gross domestic income, which tends

0:45:29.320 --> 0:45:32.480
<v Speaker 1>to be more accurate as we're seeing these inconsistencies.

0:45:33.200 --> 0:45:36.239
<v Speaker 3>Thank you for talking digital looking the world economy with

0:45:36.360 --> 0:45:39.080
<v Speaker 3>us on the day ahead of the long weekend.

0:45:39.120 --> 0:45:40.040
<v Speaker 4>We wish you a good one.

0:45:40.200 --> 0:45:44.480
<v Speaker 3>Kathy Wood ceoc Io of ARC and Best, Thanks for

0:45:44.560 --> 0:45:46.560
<v Speaker 3>joining Meanwhile, that does it for this edition of blie

0:45:46.600 --> 0:45:50.320
<v Speaker 3>Bag Technology. Go have yourself a wonderful long Memorial weekend

0:45:50.400 --> 0:45:51.359
<v Speaker 3>volks from New York.

0:45:51.480 --> 0:45:52.160
<v Speaker 4>That's a bloebag.