WEBVTT - Nvidia Hits $1 Trillion Dollars and Elon Musk's in Beijing

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<v Speaker 1>From Mahard. We're Innovation, Money and Power Collie in Silicon

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<v Speaker 1>Vallet NBN. This is Bloomberg Technology with Caroline Hyde and

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<v Speaker 1>Ed Ludlove.

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<v Speaker 2>I'm Caroline Hyde at Bloomberg's world headquarters in New York

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<v Speaker 2>and I.

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<v Speaker 3>Had other in San Francisco. We're back Carrow.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 2>And guess what we're still talking about it coming up

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<v Speaker 2>in video hitting one trillion dollars. It's the ninth company

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<v Speaker 2>to ever reach the valuation. We're going to bring you

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<v Speaker 2>all things AI throughout the show and despite the.

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<v Speaker 3>AI rally, industry leaders warning the technology poses the risk

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<v Speaker 3>of extinction. Will discuss a letter out from the heads

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<v Speaker 3>of Open Ai, Google, DeepMind, Anthropic and others calling for caution.

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<v Speaker 2>Class Elon Musk touches down in Beijing. We'll bring you

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<v Speaker 2>the latest of his visit as a Tesla. CEO emphasises

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<v Speaker 2>the importance of ties with China and let's get a

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<v Speaker 2>global look on these markets right now, because actually the

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<v Speaker 2>Chinese economy is actually still a key caution of concern

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<v Speaker 2>for many and that is why we're seeing the Golden Dragon. That's,

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<v Speaker 2>of course the Nasdak Golden Dragon in it's just off

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<v Speaker 2>by more than three percent. Look, the Nasdaq is your

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<v Speaker 2>outperformer today. The technology sector is your outperformer. Is Actually

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<v Speaker 2>the rest of the world is still worrying about recession

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<v Speaker 2>risks or worried about inflation. So we see the nasdak

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<v Speaker 2>up sixtens percent, but not the other key US benchmarks.

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<v Speaker 2>On the day ed we're seeing there a big rally

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<v Speaker 2>in the US debt market. Ten year we see yields

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<v Speaker 2>coming down some nine to ten basis points. For the reason,

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<v Speaker 2>wellb deal relief. Yet to seal the deal, but certainly

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<v Speaker 2>some sort of an agreement coming from across the aisles.

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<v Speaker 2>We'll see whether that manages to push through and we

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<v Speaker 2>avoid the vault here in the United States that really

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<v Speaker 2>affected the crypto market. Just take a look at where

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<v Speaker 2>we were earlier in terms of bitcoin. We managed to rally.

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<v Speaker 2>It was the highest in a couple of months actually,

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<v Speaker 2>but we've now dipped back down. We're currently trading flat

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<v Speaker 2>on the day twenty seven, six hundred and seventy two

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<v Speaker 2>is where we trade. But like dive into the micro

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<v Speaker 2>because this is a day for microintech.

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<v Speaker 4>A lot happening in the newsflow, a lot around AI but.

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<v Speaker 3>Start with Tesla up pretty much at its high level

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<v Speaker 3>in around two months four percent.

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<v Speaker 4>Elon Musk is in China.

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<v Speaker 3>In a statement issued by the Chinese government, Elon Musk

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<v Speaker 3>is quoted as saying, Tesla against the decoupling with China

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<v Speaker 3>and will continue to invest and grow its business in

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<v Speaker 3>that market. The narrative around that boosting shares broadcome a

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<v Speaker 3>really interesting move to the upside up four point seven percent.

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<v Speaker 3>A couple of names out on the cell side boosting

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<v Speaker 3>their price targets upgrading the stock because they see it

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<v Speaker 3>as a beneficiary in the aihight cycle that's playing out

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<v Speaker 3>right now.

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<v Speaker 4>In Nvidia.

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<v Speaker 3>Let's talk about in Nvidia, the stock absolutely staring up

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<v Speaker 3>five point seven percent as well, one trillion dollar market cap,

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<v Speaker 3>the first chip maker or semiconductor name to reach a

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<v Speaker 3>trillion dollars in market value, the ninth stock ever to

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<v Speaker 3>do so. It joins that exclusive club alongside Apple, Amazon, Alphabet,

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<v Speaker 3>the parent of Google, and Microsoft one point zero two

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<v Speaker 3>to one trillion. As it stands, we'll see if we

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<v Speaker 3>can maintain the current gains on the stock carriers we

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<v Speaker 3>head towards the close, but it's a really big moment.

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<v Speaker 3>So this company founded here on the West Coast nineteen

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<v Speaker 3>ninety three. Jensen Wang, this founder CEO, has been out

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<v Speaker 3>in Taiwan for the last forty eight hours or so,

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<v Speaker 3>speaking often and really driving momentum around those shares. I

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<v Speaker 3>want to bring in Blue Legs in King and talk

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<v Speaker 3>more about in video because we actually got product announcements

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<v Speaker 3>as well. Right in What have we learned about in

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<v Speaker 3>Vidia's latest offering in the field of AI?

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<v Speaker 5>Well, are you ready for the list? We've got a

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<v Speaker 5>super chip, a supercomputer. I think at least two new

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<v Speaker 5>data centers networking for AI to speed things up in

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<v Speaker 5>the data center. I mean a number of tie ups.

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<v Speaker 5>I mean the list goes on and on and on

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<v Speaker 5>and on in terms of what they announced this weekend

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<v Speaker 5>and over the last few days.

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<v Speaker 2>I mean he said it himself, didn't he it's too much.

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<v Speaker 2>I know it's too much, but his sense of urgency,

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<v Speaker 2>this run don't walk mentality. Is it only something an

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<v Speaker 2>in video, a founder led business could do in the

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<v Speaker 2>chip market. Are we seeing other announcements coming from other

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<v Speaker 2>players in this respect?

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<v Speaker 5>I mean we'll see plenty of announcements for seeing, plenty

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<v Speaker 5>of road maps, but nothing like the intensity that's being

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<v Speaker 5>shown by this company. I mean, let's face it, we're

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<v Speaker 5>at the beginning stages. If you believe in video, we're

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<v Speaker 5>at the beginning stages. And there are a lot of problems,

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<v Speaker 5>a lot of technical issues, a lot of fundamental design

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<v Speaker 5>issues that need to be solved in order for this

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<v Speaker 5>to move forward. The company that's addressing these the company

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<v Speaker 5>that's utually saying, hey, look, this is what we're going

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<v Speaker 5>to do.

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<v Speaker 2>That's in video right now, I mean in video where

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<v Speaker 2>it's at it feels like. But actually, when I turn

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<v Speaker 2>on my terminal, everything was coming out of type A.

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<v Speaker 2>Over the course of the weekend. You saw Qualcom trying

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<v Speaker 2>to be in on the game. You saw so many

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<v Speaker 2>other announcements pouring from this really important meetup.

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<v Speaker 6>It seems to be happening.

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<v Speaker 3>Yeah, you know, Jenson, I'm clearly taking advantage of gathering

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<v Speaker 3>of minds. You know, he's kind of this rock Star

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<v Speaker 3>figure now, leather jacket clad with his specs on stage.

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<v Speaker 2>Remember it's tattoo, the Invidia tattoo.

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<v Speaker 3>With the Nvidia tattoo on the shoulder. But like, how

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<v Speaker 3>much does this story che changed?

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<v Speaker 7>Right?

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<v Speaker 3>The days of Elon Musk being the rock Star technology

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<v Speaker 3>executive in a rover Jensen Wuang. I believe he was

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<v Speaker 3>born in in Taiwan. He was educated here on the

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<v Speaker 3>West coast. He's kind of really central to the story,

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<v Speaker 3>and his own wealth is really ballooned.

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<v Speaker 5>Right, Yeah, I mean, you know, he left Taiwan when

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<v Speaker 5>he was four years old.

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<v Speaker 4>He founded this company.

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<v Speaker 5>He still runs it and as Caroline said, this is

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<v Speaker 5>it's him, right, he still runs it day to day.

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<v Speaker 5>Everything revolves around him. And that's really you know, a

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<v Speaker 5>company that lives or dies in terms of the direction

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<v Speaker 5>that their CEO gives.

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<v Speaker 2>And there is news flow also from global not just

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<v Speaker 2>chips makers, but chip designers in get us up to

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<v Speaker 2>speed as to who took some of the other oxygen,

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<v Speaker 2>the tiny bit that was left.

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<v Speaker 6>Outside of Tensen.

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<v Speaker 2>I mean, ARM were trying to make some announcements as well.

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<v Speaker 5>Yeah, ARM was with mobile related. Qualcomm was talking about,

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<v Speaker 5>you know, mobile related. One of the things that Qualcom

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<v Speaker 5>is saying is like, look, you can't do this all

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<v Speaker 5>over wireless, over the Internet because data centers are too

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<v Speaker 5>far away. If you want that instant response, if you

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<v Speaker 5>want your chat GPT to actually tell you something meaningful

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<v Speaker 5>in aful amount of time, when you're on the run.

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<v Speaker 5>You need a phone that's capable of doing this. So

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<v Speaker 5>there's a lot going on. There's a lot of opportunities

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<v Speaker 5>if you believe the hype.

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<v Speaker 6>Let's dig into the hype.

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<v Speaker 2>Next, Ian King, we thank you so much for giving

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<v Speaker 2>us a healthy dose of what is reality and what

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<v Speaker 2>is and let's look at the ultimate opportunity. Here is

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<v Speaker 2>Zeno Mercer. Here's research analysts over at metify Robo Global

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<v Speaker 2>Indices three point four billion dollars in assets under management,

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<v Speaker 2>someone who's been quoted, been thinking of for decades in

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<v Speaker 2>the world of AI and its applications and its investibilities.

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<v Speaker 2>You know, I'm interested in your perspective as to whether,

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<v Speaker 2>really in Vidio is the pixel shovels you want to

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<v Speaker 2>be and they were for it for crypto.

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<v Speaker 4>They've been it for gaming.

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<v Speaker 2>Is in VideA the really place to be when you

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<v Speaker 2>want to be in a ground level for AI.

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<v Speaker 7>It's a great question, and thanks for having me on.

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<v Speaker 8>I mean, on one hand, of course, Nvidia has the

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<v Speaker 8>picks and shovels, and they're not just picks and shovels.

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<v Speaker 8>They're actually generating applications that are being used both enterprise

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<v Speaker 8>currently and in recently B to B, so they're not

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<v Speaker 8>just chips anymore, which is kind of making their own

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<v Speaker 8>self fulfilling virtuous super cycle for themselves.

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<v Speaker 7>Yeah, however, no, yeah, we can pause.

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<v Speaker 2>Yeah, I mean just dig into the supercomputer element of

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<v Speaker 2>all of this and what else is trying to.

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<v Speaker 8>Be Yeah, so they're getting into you know, they've got

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<v Speaker 8>their omniverse where they're actually trying to simulate reality. There

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<v Speaker 8>ass different you know, so that can be used for manufacturing,

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<v Speaker 8>that can be used for proteins, and just generally helping

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<v Speaker 8>simulate physics or at least empowering other companies to do that,

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<v Speaker 8>which is very fundamental to improving any type of product design,

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<v Speaker 8>designing cities, kind of any type of motion or physical

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<v Speaker 8>interaction in the world.

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<v Speaker 7>World. It's not just this digital back end.

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<v Speaker 8>And language that people are excited about. The other ecosystems

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<v Speaker 8>that they're going to be empowering alongside other players in

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<v Speaker 8>the ecosystem, both infrastructure and you know, companies that specialize

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<v Speaker 8>in those areas, such as physics, design, et cetera.

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<v Speaker 2>Just what's fascinating amid all of this, of course, ED

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<v Speaker 2>is Yes, there's real application, there's real tangible need you

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<v Speaker 2>and I playing with it on a daily basis. But

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<v Speaker 2>you can't get away from the fact that what you're saying,

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<v Speaker 2>this is a six hundred billion dollar overall market ed

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<v Speaker 2>we've now got a one trillion dollar company on the

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<v Speaker 2>back of this.

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<v Speaker 3>It feels like it's a valuation question, right that. The

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<v Speaker 3>whole point of Roboglobal is to give investors, through different

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<v Speaker 3>index and research, some exposure to developments in AI. But

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<v Speaker 3>this is a stock trading at around two hundred times

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<v Speaker 3>forward earnings.

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<v Speaker 7>Right now, that's a good point.

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<v Speaker 8>I mean, it's definitely run pretty far ahead of what

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<v Speaker 8>it had been trading at. And if you think about

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<v Speaker 8>what's happened over even the last year, you had a

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<v Speaker 8>chip shortage with the supply chain, you had the chips

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<v Speaker 8>as past, then you had people concerned about gaming and

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<v Speaker 8>PC slowing down, and so last October the semiconductor market overall,

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<v Speaker 8>even AI market had been that valuations had really dropped dramatically,

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<v Speaker 8>and now they're starting to pick back up. So kind

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<v Speaker 8>of a year of a year basis, it looks a

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<v Speaker 8>little less run up, ye if you will, rather than

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<v Speaker 8>the dramatic drop off there. But the rest of the

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<v Speaker 8>AI ecosystem a lot of these companies are definitely not

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<v Speaker 8>trading anywhere near in videos levels, and you know, you'll

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<v Speaker 8>look at you know, the Think Index for example, where.

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<v Speaker 7>We track infrastructure and applications.

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<v Speaker 8>It's trading more along the lines of six point five

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<v Speaker 8>x ford ev sales and forty x price to earnings

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<v Speaker 8>on a floor looking basis.

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<v Speaker 7>So that's a pretty dramatic step up.

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<v Speaker 8>And we think a lot of these other players are

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<v Speaker 8>either smaller and not getting the same attention. Of course

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<v Speaker 8>you're watching this dramatic one up within video, but some

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<v Speaker 8>of them will also maybe they'll appreciate and see these

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<v Speaker 8>earnings triple in over time.

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<v Speaker 7>Right, so you've got you know, cloud infrastructure.

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<v Speaker 8>Edge automotive areas are going to benef as more people

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<v Speaker 8>deploy and utilized AI, not just.

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<v Speaker 7>In training but in practice. I kind of as what Ian.

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<v Speaker 8>Was saying was like having these edge compute on device

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<v Speaker 8>with computer vision being able to do it, not just in.

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<v Speaker 7>The cloud like we're doing right now viewers or AI cloud,

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<v Speaker 7>which will continue to be valuable and continue to be deployed.

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<v Speaker 8>But it's going to saturate and deploy and empower many

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<v Speaker 8>other different parts of the ecosystem, not just you know,

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<v Speaker 8>in Vidia and the chips like it needs other player

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<v Speaker 8>to survive. It's not a standalone, single unit player in

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<v Speaker 8>the economy and an economy where it is going to

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<v Speaker 8>take even more percentage of GDP and potentially go GDP,

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<v Speaker 8>there could be deflationary pressure in some areas, but those

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<v Speaker 8>are some of the area That's kind of how we're

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<v Speaker 8>thinking about it here.

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<v Speaker 7>At Grobo Global.

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<v Speaker 3>Let's let's bring up that terminal chart showing in Vidia's

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<v Speaker 3>market cap for just a second. You look at the

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<v Speaker 3>spike on the right hand side of the screen that

0:10:52.880 --> 0:10:56.920
<v Speaker 3>is showing that outlook. They gave basically growth which was

0:10:56.960 --> 0:11:02.000
<v Speaker 3>fifty percent above what analysts were expecting. What's the story

0:11:02.040 --> 0:11:04.360
<v Speaker 3>here is, you know, what did you learn from Nvidia's

0:11:04.360 --> 0:11:07.280
<v Speaker 3>outlook about the demand right now for its products?

0:11:08.000 --> 0:11:09.479
<v Speaker 7>I mean, it's really not surprising.

0:11:09.720 --> 0:11:13.520
<v Speaker 8>We've been expecting more demand and more interest to happen

0:11:13.600 --> 0:11:15.120
<v Speaker 8>for a while. It was more of when the the

0:11:15.200 --> 0:11:18.760
<v Speaker 8>meander would shift over and what catalyst it would take,

0:11:18.960 --> 0:11:22.280
<v Speaker 8>whether it was, uh, you know, autonomous vehicles, but in

0:11:22.320 --> 0:11:25.240
<v Speaker 8>this case, it was getting AI out of kind of

0:11:25.720 --> 0:11:28.959
<v Speaker 8>super enterprise research areas but actually into the hands of

0:11:29.000 --> 0:11:32.559
<v Speaker 8>people where they're actually thinking business leaders are thinking, governments

0:11:32.600 --> 0:11:35.160
<v Speaker 8>are thinking, hey, this is real and we need to

0:11:35.200 --> 0:11:37.720
<v Speaker 8>figure out how to use this across not you know,

0:11:37.840 --> 0:11:39.000
<v Speaker 8>every fastive society.

0:11:39.120 --> 0:11:41.520
<v Speaker 7>You know, healthcare in the US is very expensive.

0:11:41.840 --> 0:11:43.800
<v Speaker 8>You know, the US is thinking how can we deploy

0:11:43.880 --> 0:11:48.080
<v Speaker 8>AI to improve healthcare outcomes, reduce medicare fraud.

0:11:47.800 --> 0:11:49.600
<v Speaker 7>And just kind of all these different areas where you're

0:11:49.640 --> 0:11:51.040
<v Speaker 7>seeing issues.

0:11:51.080 --> 0:11:53.440
<v Speaker 8>This can be used to help solve and improve the

0:11:54.200 --> 0:11:58.839
<v Speaker 8>processes and outcomes across all these different areas.

0:11:59.000 --> 0:12:04.120
<v Speaker 2>What's interesting, there's one player who thought and realized that

0:12:04.200 --> 0:12:06.520
<v Speaker 2>in video was cool before many others was buying it

0:12:06.520 --> 0:12:09.240
<v Speaker 2>in twenty fourteen and has missed this rally. And it's

0:12:09.320 --> 0:12:12.160
<v Speaker 2>Kathy Wood because she's got some concerns about the business,

0:12:12.160 --> 0:12:14.800
<v Speaker 2>about competition, about valuation. Just kin of listened to you

0:12:14.840 --> 0:12:16.080
<v Speaker 2>know what she said to us on Friday.

0:12:17.160 --> 0:12:19.880
<v Speaker 1>In Vidia has become a check the box stock. That's

0:12:19.920 --> 0:12:23.840
<v Speaker 1>where the valuation is where it is. But we are

0:12:23.920 --> 0:12:29.840
<v Speaker 1>looking for those plays that have not only the vision

0:12:30.080 --> 0:12:34.200
<v Speaker 1>from management team point of view and broad distribution, but

0:12:34.320 --> 0:12:38.959
<v Speaker 1>also proprietary data and AI expertise.

0:12:40.160 --> 0:12:43.680
<v Speaker 2>So you know, where are you looking for opportunities? Who

0:12:43.760 --> 0:12:47.240
<v Speaker 2>else can you buy in at a better valuation than

0:12:47.320 --> 0:12:48.440
<v Speaker 2>is going to ride this AI wave.

0:12:49.679 --> 0:12:50.480
<v Speaker 7>It's a great question.

0:12:51.120 --> 0:12:53.440
<v Speaker 8>You know, I agree and disagree with their approach and

0:12:53.520 --> 0:12:57.840
<v Speaker 8>her approach in one hand. Yes, data and software plays

0:12:57.880 --> 0:13:00.400
<v Speaker 8>are great, they are amazing. It's not just the video

0:13:00.559 --> 0:13:03.440
<v Speaker 8>I already mentioned in video is not just hardware anymore.

0:13:04.200 --> 0:13:06.120
<v Speaker 7>But there's lots of players.

0:13:06.360 --> 0:13:09.120
<v Speaker 9>You know, don't don't really like to dive into specific names,

0:13:09.120 --> 0:13:11.199
<v Speaker 9>but if you look at companies like Simsara, they're helping

0:13:11.240 --> 0:13:14.520
<v Speaker 9>digitize and analyze real world analytics the vehicles and fleets

0:13:14.520 --> 0:13:17.920
<v Speaker 9>around the world for utilities, for you know.

0:13:17.960 --> 0:13:21.440
<v Speaker 7>Mining, like many different subsectors. So there's companies like that.

0:13:21.960 --> 0:13:24.400
<v Speaker 8>Uh, you know, there are other semiconductor companies like Global

0:13:24.480 --> 0:13:28.679
<v Speaker 8>Unitchen which is you know, partially owned by Taiwan Semiconductor.

0:13:29.160 --> 0:13:31.480
<v Speaker 8>They're trading you know, more like forty x I think,

0:13:31.559 --> 0:13:35.520
<v Speaker 8>or fifty x for pe So and the and their

0:13:35.559 --> 0:13:38.840
<v Speaker 8>A six are being used in AI. So I think

0:13:39.440 --> 0:13:42.800
<v Speaker 8>there's more picks and shovels to the ecosystem than software.

0:13:43.240 --> 0:13:44.679
<v Speaker 7>Also, there's cybersecurity.

0:13:45.120 --> 0:13:48.840
<v Speaker 8>There's cloud and networking compute companies like Arista and pure

0:13:48.920 --> 0:13:52.280
<v Speaker 8>Storage where you know, demand and utilization and AI will

0:13:52.320 --> 0:13:56.080
<v Speaker 8>require more storage. Both in the cloud and and you

0:13:56.120 --> 0:13:59.360
<v Speaker 8>know on on premise on device, especially as we get

0:13:59.400 --> 0:14:01.560
<v Speaker 8>more in the mold modal AI, which is not just

0:14:01.679 --> 0:14:04.640
<v Speaker 8>TX but video, well that's going to.

0:14:04.640 --> 0:14:06.240
<v Speaker 7>Require a lot more storage.

0:14:06.640 --> 0:14:08.840
<v Speaker 8>And you know, somebody like companies like Pure Storage haven't

0:14:08.840 --> 0:14:09.559
<v Speaker 8>really taken off.

0:14:09.559 --> 0:14:11.800
<v Speaker 7>In fact, you know, she kind of like a temporary

0:14:11.920 --> 0:14:14.640
<v Speaker 7>pain point. But you know it's hard to imagine that

0:14:14.920 --> 0:14:16.240
<v Speaker 7>with this up tack and demand.

0:14:16.400 --> 0:14:18.680
<v Speaker 8>Uh, that's kind of kind of tail along with it

0:14:18.760 --> 0:14:20.920
<v Speaker 8>and grow with the rising kind.

0:14:21.560 --> 0:14:24.760
<v Speaker 3>Yes, Cino massa robo Globo, someone that lives and breathes

0:14:24.840 --> 0:14:27.480
<v Speaker 3>artificial intelligence and does so with a smile on their face.

0:14:27.880 --> 0:14:29.840
<v Speaker 4>Caroline, thank you for you your times.

0:14:29.880 --> 0:14:41.520
<v Speaker 1>You know, the company that gets a person in an

0:14:41.560 --> 0:14:45.320
<v Speaker 1>autonomous vehicle from a point A to point B as

0:14:45.400 --> 0:14:49.800
<v Speaker 1>quickly and safely as possible is probably going to get

0:14:49.840 --> 0:14:52.200
<v Speaker 1>the lion's share of the market. And that company will

0:14:52.320 --> 0:14:57.160
<v Speaker 1>in the United States, we believe be Tesla.

0:14:57.960 --> 0:15:00.440
<v Speaker 3>That was a part of our interview of kafy woodscussing

0:15:00.520 --> 0:15:03.480
<v Speaker 3>Tesla and sticking with the EV maker. Elon Musk is

0:15:03.520 --> 0:15:06.120
<v Speaker 3>in China for the first time since the pandemic, where

0:15:06.120 --> 0:15:09.200
<v Speaker 3>he met with the nation's foreign minister and emphasized the

0:15:09.240 --> 0:15:13.560
<v Speaker 3>importance of maintaining ties with China. Let's bring in Bloomberg's

0:15:13.560 --> 0:15:16.720
<v Speaker 3>Global Auto's editor Cray Trudel for more.

0:15:17.760 --> 0:15:19.840
<v Speaker 4>This was a meeting with Ching Gang.

0:15:20.200 --> 0:15:23.000
<v Speaker 3>What were the key kind of messages that came out

0:15:23.040 --> 0:15:24.600
<v Speaker 3>of Elon Musk's visits to Beijing.

0:15:26.120 --> 0:15:28.800
<v Speaker 10>Yeah, I think per your intro, I mean, that was

0:15:28.840 --> 0:15:31.280
<v Speaker 10>one of the things that was sort of you know,

0:15:31.600 --> 0:15:35.800
<v Speaker 10>universal in this readout from both sides, right, an emphasis

0:15:36.120 --> 0:15:39.560
<v Speaker 10>on the need for US China collaboration. And it's sort

0:15:39.600 --> 0:15:42.200
<v Speaker 10>of no wonder that that's a major point of emphasis

0:15:42.800 --> 0:15:45.280
<v Speaker 10>on the part of the Foreign ministry, given what's been

0:15:45.320 --> 0:15:49.480
<v Speaker 10>happening with chips, what's been happening with electric vehicle batteries.

0:15:49.840 --> 0:15:53.120
<v Speaker 10>You've had Joe Biden and other leaders, you know, really

0:15:53.200 --> 0:15:56.760
<v Speaker 10>make a concerted effort to wean the global auto industry

0:15:56.840 --> 0:16:01.720
<v Speaker 10>off of the reliance on China for batteries, which you know,

0:16:01.960 --> 0:16:05.760
<v Speaker 10>the country just absolutely dominates supply of not only and

0:16:06.480 --> 0:16:10.080
<v Speaker 10>battery cells, but the raw materials and also chips. Right,

0:16:10.400 --> 0:16:14.600
<v Speaker 10>a big emphasis on, you know, building up semiconductor supply

0:16:15.240 --> 0:16:20.200
<v Speaker 10>outside of Asia, and whether it's in the US or Germany,

0:16:20.720 --> 0:16:23.800
<v Speaker 10>and some real challenges on the part of whether Biden

0:16:24.160 --> 0:16:27.240
<v Speaker 10>or ol Off Schultze in terms of getting companies to

0:16:27.760 --> 0:16:30.880
<v Speaker 10>sort of agree to this change in approach.

0:16:30.880 --> 0:16:33.920
<v Speaker 2>Well precisely because well, he's not alone in an musk.

0:16:34.040 --> 0:16:36.640
<v Speaker 2>You've had the Mercedes CEO, We've just heard from Mary

0:16:36.680 --> 0:16:40.800
<v Speaker 2>Barrow of GM, You've heard from other companies saying these

0:16:40.840 --> 0:16:44.240
<v Speaker 2>ties need to remain despite leadership from a government perspective

0:16:44.240 --> 0:16:45.040
<v Speaker 2>thinking otherwise.

0:16:46.360 --> 0:16:49.400
<v Speaker 10>Yeah, and I think there is some sort of realism

0:16:49.440 --> 0:16:52.320
<v Speaker 10>on the part of these government leaders of talking about

0:16:52.640 --> 0:16:55.520
<v Speaker 10>de risking as opposed to decoupling. And I think there

0:16:55.600 --> 0:16:57.440
<v Speaker 10>is going to be that sort of, you know, debate

0:16:57.760 --> 0:17:00.120
<v Speaker 10>as to whether or not it is really realistic to

0:17:00.280 --> 0:17:04.920
<v Speaker 10>completely decouple us from China or Germany from China. And

0:17:05.000 --> 0:17:07.920
<v Speaker 10>if you ask, you know, the CEO of Mercedes Benz,

0:17:07.960 --> 0:17:11.800
<v Speaker 10>he says it's it's not realistic, right, So whether or not,

0:17:12.560 --> 0:17:15.960
<v Speaker 10>you know, it's it's possible to really cut these companies

0:17:16.000 --> 0:17:18.840
<v Speaker 10>off from this market that's been a huge source of

0:17:18.840 --> 0:17:21.800
<v Speaker 10>profits for them, a huge source of exports. If you're

0:17:21.960 --> 0:17:24.960
<v Speaker 10>if you're Tesla, you know this, after all, was supposed

0:17:25.000 --> 0:17:28.000
<v Speaker 10>to be a plant in Shanghai that was going to

0:17:28.080 --> 0:17:30.920
<v Speaker 10>be for the domestic market. But it's really turned into

0:17:31.000 --> 0:17:34.240
<v Speaker 10>this massive export base for Tesla to wear. Last year,

0:17:34.560 --> 0:17:36.480
<v Speaker 10>you know, more than half of the cars they produced

0:17:36.480 --> 0:17:38.440
<v Speaker 10>globally came out of that plant in Shanghai.

0:17:39.200 --> 0:17:42.080
<v Speaker 3>Craig on Kafiwidd's point on autonomy, I believe the Bloomberg's

0:17:42.080 --> 0:17:45.240
<v Speaker 3>source has told us that Elon Musk may meet with

0:17:45.480 --> 0:17:49.040
<v Speaker 3>Chinese Premierliche Yang on autonomous driving in particular.

0:17:50.520 --> 0:17:52.560
<v Speaker 10>Yeah, I think that's going to be a really interesting

0:17:52.640 --> 0:17:55.359
<v Speaker 10>to watch play out because we've seen recently Tesla have

0:17:55.440 --> 0:17:58.640
<v Speaker 10>to do a recall that they were able to address

0:17:59.720 --> 0:18:03.040
<v Speaker 10>an over the air software update in China. There's obviously

0:18:03.040 --> 0:18:07.080
<v Speaker 10>a lot of attention anytime Teslas get into any sort

0:18:07.119 --> 0:18:10.000
<v Speaker 10>of safety issues in China, and to the extent that

0:18:10.040 --> 0:18:12.080
<v Speaker 10>we start to see some of the same things that

0:18:12.119 --> 0:18:15.560
<v Speaker 10>have happened in the US over the years of crashes,

0:18:15.720 --> 0:18:19.240
<v Speaker 10>some of them fatal involving autopilot or full self driving.

0:18:19.560 --> 0:18:21.560
<v Speaker 10>You know, to this point that's really been sort of

0:18:21.600 --> 0:18:25.240
<v Speaker 10>isolated to North America, and you know, Elon Musk, we know,

0:18:25.359 --> 0:18:28.320
<v Speaker 10>really wants to sort of you know, make that more

0:18:28.400 --> 0:18:32.240
<v Speaker 10>global technology that that Tesla is able to deploy, and

0:18:32.280 --> 0:18:34.639
<v Speaker 10>to the extent that you know, the government is willing

0:18:34.680 --> 0:18:36.720
<v Speaker 10>to go along with that is a big question I

0:18:36.720 --> 0:18:37.520
<v Speaker 10>think going forward.

0:18:37.840 --> 0:18:40.760
<v Speaker 2>Great Dal thanks for keeping it global for us and

0:18:40.800 --> 0:18:43.560
<v Speaker 2>all things elon Musk we thank you. Meanwhile, coming up,

0:18:43.920 --> 0:18:46.640
<v Speaker 2>we're talking China. Some more lived off from China, how

0:18:46.640 --> 0:18:48.280
<v Speaker 2>the country is narrowing the gap in the head to

0:18:48.359 --> 0:18:51.680
<v Speaker 2>head space race in the United States, and this most

0:18:51.720 --> 0:18:54.000
<v Speaker 2>recent launch, this is to bring back.

0:19:15.560 --> 0:19:16.560
<v Speaker 4>Time for talking tech.

0:19:16.640 --> 0:19:19.400
<v Speaker 3>First up, China making good on its goal for more

0:19:19.440 --> 0:19:22.960
<v Speaker 3>prominence in the global space race, launching the Sheenzhu sixteen

0:19:23.040 --> 0:19:26.600
<v Speaker 3>mission from a military controlled space center on Tuesday morning.

0:19:33.440 --> 0:19:37.040
<v Speaker 11>The Schanzo sixteen mission is sending three astronauts to the

0:19:37.119 --> 0:19:41.720
<v Speaker 11>Chinese Space Station, including the first civilian, a professor at

0:19:41.760 --> 0:19:46.159
<v Speaker 11>Beijing based Beihang University. It's part of Beijing's plan to

0:19:46.200 --> 0:19:50.600
<v Speaker 11>have a continuous presence at its space station. The Chinese

0:19:50.600 --> 0:19:54.040
<v Speaker 11>Space Station is just one of several achievements that China

0:19:54.200 --> 0:19:57.560
<v Speaker 11>has made in recent years as it tries to catch

0:19:57.640 --> 0:20:00.240
<v Speaker 11>up to the US and space China has a also

0:20:00.440 --> 0:20:02.520
<v Speaker 11>landed a craft on the far side of the Moon,

0:20:02.560 --> 0:20:05.960
<v Speaker 11>the only country that's managed to do that. The next

0:20:05.960 --> 0:20:10.159
<v Speaker 11>big project sending Chinese astronauts to the Moon a Chinese

0:20:10.200 --> 0:20:13.520
<v Speaker 11>Space Agency official on Monday said the goal is to

0:20:13.640 --> 0:20:16.719
<v Speaker 11>land on the Moon with a crude mission by twenty thirty.

0:20:17.200 --> 0:20:19.760
<v Speaker 11>The US is also working to send astronauts back to

0:20:19.800 --> 0:20:23.600
<v Speaker 11>the Moon part of its Artemis program. The US is

0:20:23.640 --> 0:20:27.160
<v Speaker 11>so far more successful than China in winning international support

0:20:27.200 --> 0:20:30.639
<v Speaker 11>for its space plans, with two dozen countries supporting the

0:20:30.800 --> 0:20:35.280
<v Speaker 11>Artemis Accords, a Washington backed agreement to regulate activity on

0:20:35.359 --> 0:20:38.840
<v Speaker 11>the Moon and elsewhere in space. China is seeking more

0:20:38.920 --> 0:20:42.560
<v Speaker 11>space allies and offering more access to things like the

0:20:42.680 --> 0:20:47.000
<v Speaker 11>Hunzo sixteen launch could help by showing Chinese confidence in

0:20:47.040 --> 0:20:48.520
<v Speaker 11>its space capabilities.

0:20:50.880 --> 0:20:53.359
<v Speaker 3>China's as it plans to send its astronauts to the

0:20:53.400 --> 0:20:57.440
<v Speaker 3>Moon by twenty thirty, and Guita is expanding its presence

0:20:57.480 --> 0:20:59.520
<v Speaker 3>in the US is it seeks to build a cheaper

0:20:59.560 --> 0:21:03.760
<v Speaker 3>and less risky robot workforce for space missions. Fresh off

0:21:03.960 --> 0:21:07.000
<v Speaker 3>raising thirty million dollars in funding, the Tokyo based startup

0:21:07.200 --> 0:21:09.800
<v Speaker 3>told Bloomberg TV or we use the funds to recruit

0:21:09.840 --> 0:21:13.800
<v Speaker 3>engineers and further develop its robots. Guitars, robotic arms and

0:21:13.920 --> 0:21:17.960
<v Speaker 3>rovers can remotely perform routine construction work ranging from solar

0:21:17.960 --> 0:21:22.280
<v Speaker 3>panel installation to welding plus Noise, the Indian based maker

0:21:22.320 --> 0:21:24.800
<v Speaker 3>of smart watches and other gadgets, is in talks for

0:21:24.840 --> 0:21:28.040
<v Speaker 3>its first ever fundraising round. Sources say the Noise is

0:21:28.040 --> 0:21:30.840
<v Speaker 3>hoping to raise forty to fifty million dollars to gain

0:21:30.920 --> 0:21:34.240
<v Speaker 3>dominance in India's fast growing wearables market. Last year, Noise

0:21:34.240 --> 0:21:36.600
<v Speaker 3>accounted for more than half of the sales in the market,

0:21:36.760 --> 0:21:39.640
<v Speaker 3>which screw forty seven percent overall thanks to its more

0:21:39.720 --> 0:21:47.639
<v Speaker 3>affordable models.

0:21:48.440 --> 0:21:50.639
<v Speaker 2>Welcome back to bloom meg Technology. I'm Carolinehid in New

0:21:50.720 --> 0:21:51.640
<v Speaker 2>York and.

0:21:51.640 --> 0:21:53.840
<v Speaker 3>Am Ed Lovelow in San francisc. We're going to check

0:21:53.880 --> 0:21:55.879
<v Speaker 3>in on these markets. Carry I think some of the

0:21:56.000 --> 0:21:59.800
<v Speaker 3>enthusiasm earlier in the session that was fueled by a

0:22:00.119 --> 0:22:01.560
<v Speaker 3>I is kind of worn.

0:22:01.359 --> 0:22:01.879
<v Speaker 4>Off a little bit.

0:22:01.920 --> 0:22:03.639
<v Speaker 3>You look at the SMP five hundred, we're kind of

0:22:03.640 --> 0:22:07.640
<v Speaker 3>flat in that main gage of US equities for outperformance

0:22:07.640 --> 0:22:09.160
<v Speaker 3>in tex You look at then as that one hundred

0:22:09.320 --> 0:22:11.280
<v Speaker 3>six tens and one percent. Some of the big movers

0:22:11.480 --> 0:22:13.600
<v Speaker 3>to the upside are AI related. We'll get into that

0:22:13.640 --> 0:22:15.840
<v Speaker 3>in just a second. Or the US tenure yield see

0:22:15.880 --> 0:22:18.199
<v Speaker 3>kind of a pullbacking yield three point seven percent on

0:22:18.240 --> 0:22:20.919
<v Speaker 3>the ten year treasury. Some of that around hopes that

0:22:21.000 --> 0:22:25.440
<v Speaker 3>we will find resolution in the US debt ceiling negotiations.

0:22:25.440 --> 0:22:27.480
<v Speaker 3>And also quick look at Bitcoin that's trading at around

0:22:27.520 --> 0:22:30.800
<v Speaker 3>twenty seven thousand, seven hundred US dollars Partoker, we're basically

0:22:30.840 --> 0:22:33.240
<v Speaker 3>back to where we were at the end of March.

0:22:33.280 --> 0:22:35.840
<v Speaker 3>We kind of traded it in this range of between

0:22:35.880 --> 0:22:38.520
<v Speaker 3>twenty six thousand and thirty thousand US dollars over the

0:22:38.640 --> 0:22:41.040
<v Speaker 3>last two to three months or so. In terms of

0:22:41.080 --> 0:22:43.439
<v Speaker 3>single names, there is really only one story out there,

0:22:43.480 --> 0:22:46.680
<v Speaker 3>which is in Nvidia hitting a one trillion dollar market

0:22:46.760 --> 0:22:49.959
<v Speaker 3>cat the first chipmaker to do so. Only nine stocks

0:22:50.000 --> 0:22:52.280
<v Speaker 3>have ever hit that milestone. You see it up three

0:22:52.280 --> 0:22:55.360
<v Speaker 3>point five percent, moving to the upside. Interesting to contrast

0:22:55.359 --> 0:22:57.680
<v Speaker 3>with Alphabet, the parent company of Google, off by four

0:22:57.720 --> 0:23:00.560
<v Speaker 3>tens of one percent, had been down much more significantly

0:23:00.600 --> 0:23:03.280
<v Speaker 3>earlier in the session. This is another name that if

0:23:03.320 --> 0:23:05.680
<v Speaker 3>you actually bring up a longer term chart, it has

0:23:05.720 --> 0:23:09.119
<v Speaker 3>seen a run up and its shares fueled by its announcements,

0:23:09.160 --> 0:23:11.120
<v Speaker 3>particularly in the field of AI. Thinking back to when

0:23:11.119 --> 0:23:14.119
<v Speaker 3>I was at Google Io and what they're doing in

0:23:14.160 --> 0:23:17.960
<v Speaker 3>some of the other mediums beyond text like photo, images,

0:23:18.040 --> 0:23:20.720
<v Speaker 3>video as well. So that seems to be some selling

0:23:20.760 --> 0:23:22.359
<v Speaker 3>in inverse what we're seeing in a.

0:23:22.400 --> 0:23:25.000
<v Speaker 2>Video care well, great setup because we want to stick

0:23:25.000 --> 0:23:27.920
<v Speaker 2>with exactly the alphabet family right now, turn to well

0:23:27.960 --> 0:23:30.800
<v Speaker 2>YouTube you know you use it's got multiple platforms in

0:23:30.800 --> 0:23:33.639
<v Speaker 2>the streaming era and look they're going to be disrupted

0:23:33.680 --> 0:23:36.480
<v Speaker 2>and also embrace the world of artificial intelligence. So please

0:23:36.520 --> 0:23:39.159
<v Speaker 2>to be discussing more of this with Lori Conkling, Wish's

0:23:39.240 --> 0:23:43.280
<v Speaker 2>YouTube's global header, TV Films, Sports Partnerships. Wonderful to have

0:23:43.359 --> 0:23:44.600
<v Speaker 2>you here in the studio, New York.

0:23:44.640 --> 0:23:46.120
<v Speaker 6>Thanks coming, very nice to be here.

0:23:46.280 --> 0:23:49.840
<v Speaker 2>L How much are you having this conversation with the

0:23:49.880 --> 0:23:52.800
<v Speaker 2>media partners that you work with, with those within YouTube

0:23:52.800 --> 0:23:55.399
<v Speaker 2>thinking how can you harness artificial intelligence right now to

0:23:55.400 --> 0:23:56.840
<v Speaker 2>give us the comment we want.

0:23:57.119 --> 0:24:00.479
<v Speaker 12>So we're having many conversations as you would imagine, around

0:24:00.560 --> 0:24:02.840
<v Speaker 12>AI and how it can be applied in the media

0:24:02.840 --> 0:24:05.920
<v Speaker 12>space and in the sports world. We a YouTube have

0:24:06.040 --> 0:24:09.280
<v Speaker 12>been using it for years in terms of matching content

0:24:09.440 --> 0:24:13.640
<v Speaker 12>and recommending content, looking at our roadmap and how we

0:24:13.720 --> 0:24:18.040
<v Speaker 12>really create that personalization. Our content partners have their own

0:24:18.119 --> 0:24:21.399
<v Speaker 12>plans and we collaborate with them. Obviously all of us

0:24:21.440 --> 0:24:26.000
<v Speaker 12>are being very responsible in our approach but we're excited

0:24:26.200 --> 0:24:28.200
<v Speaker 12>about the potential applications.

0:24:27.680 --> 0:24:30.919
<v Speaker 2>And sharing that because you are, as you say in

0:24:31.320 --> 0:24:34.480
<v Speaker 2>constant conversation with the media partners, would you ever give

0:24:34.600 --> 0:24:36.600
<v Speaker 2>data to them? How do you think about the relationship

0:24:36.600 --> 0:24:38.560
<v Speaker 2>and how it flourishes both of you at the same time.

0:24:39.040 --> 0:24:43.359
<v Speaker 12>So Google obviously has very strict privacy policies and.

0:24:43.359 --> 0:24:44.879
<v Speaker 6>We are always adhering to those.

0:24:45.240 --> 0:24:49.000
<v Speaker 12>They're negotiated as part of our contracts, and so we're

0:24:49.040 --> 0:24:53.760
<v Speaker 12>sensitive to that, but we're also very open to optimizing

0:24:53.800 --> 0:24:56.439
<v Speaker 12>experiences within those parameters.

0:24:58.240 --> 0:25:00.640
<v Speaker 4>Laurie good often into you. Good Morning, San Francisco.

0:25:00.720 --> 0:25:04.560
<v Speaker 3>When I think about YouTube, I think about content creators

0:25:04.720 --> 0:25:07.200
<v Speaker 3>and bringing their content to the platform. But increasingly the

0:25:07.280 --> 0:25:09.960
<v Speaker 3>questions we're getting asked from our audience on the show

0:25:10.280 --> 0:25:12.159
<v Speaker 3>is what YouTube's going to use in the field of

0:25:12.200 --> 0:25:15.840
<v Speaker 3>generative AI texts to images? Is that something that YouTube's

0:25:15.880 --> 0:25:16.400
<v Speaker 3>working on.

0:25:17.240 --> 0:25:20.720
<v Speaker 12>So again, we're just exploring many different things. We see

0:25:20.760 --> 0:25:24.520
<v Speaker 12>a lot of potential. We see potential with our own company,

0:25:24.560 --> 0:25:28.439
<v Speaker 12>we see potential with our partners, and obviously YouTube is

0:25:28.720 --> 0:25:33.920
<v Speaker 12>a composition of creator content, media content, music content, sports content,

0:25:34.640 --> 0:25:37.919
<v Speaker 12>so there are many different partners that have ideas around

0:25:37.920 --> 0:25:42.000
<v Speaker 12>it and again, it's ultimately all about the consumer and

0:25:42.040 --> 0:25:46.080
<v Speaker 12>how we use technology in many different ways to optimize

0:25:46.080 --> 0:25:47.960
<v Speaker 12>the experience every time they come.

0:25:47.880 --> 0:25:50.680
<v Speaker 3>To YouTube, Laurie, we always want to give our audience

0:25:50.680 --> 0:25:52.840
<v Speaker 3>the opportunity to ask questions. So when I tweeted that

0:25:52.880 --> 0:25:54.840
<v Speaker 3>you were coming on the show, there was a lot

0:25:54.840 --> 0:25:58.760
<v Speaker 3>of interest from Twitter users about the recommendation engine. And

0:25:58.800 --> 0:26:02.280
<v Speaker 3>when you think about sports highlights, live events, short form video,

0:26:02.760 --> 0:26:06.040
<v Speaker 3>what are you guys doing around the recommendation engine driven

0:26:06.119 --> 0:26:06.600
<v Speaker 3>by AI.

0:26:07.720 --> 0:26:11.920
<v Speaker 12>So a lot of what we do for our viewers

0:26:12.520 --> 0:26:14.960
<v Speaker 12>is make sure that every time they come to YouTube,

0:26:15.520 --> 0:26:19.200
<v Speaker 12>the format of content that they're interested in watching, as

0:26:19.200 --> 0:26:21.880
<v Speaker 12>well as the business model that they'd like to consume

0:26:21.960 --> 0:26:25.400
<v Speaker 12>that content under is available on our platform. So, as

0:26:25.440 --> 0:26:28.960
<v Speaker 12>has been mentioned, we have ad supported video on demand,

0:26:29.119 --> 0:26:33.960
<v Speaker 12>long form short form shorts, we have transactional VOD, we

0:26:34.040 --> 0:26:37.520
<v Speaker 12>have pay television, we have primetime channels which we launched

0:26:37.560 --> 0:26:43.200
<v Speaker 12>last year subscription ad supported. So it's really about creating

0:26:43.240 --> 0:26:46.239
<v Speaker 12>that ecosystem where every time they come they find what

0:26:46.280 --> 0:26:49.600
<v Speaker 12>they want, and of course there's an algorithm that as

0:26:49.680 --> 0:26:53.560
<v Speaker 12>people continue to visit frequently, that algorithm is able to

0:26:53.600 --> 0:26:56.199
<v Speaker 12>know what they would be likely interested in watching, and

0:26:56.240 --> 0:26:57.560
<v Speaker 12>that content will be served up.

0:26:57.800 --> 0:27:01.000
<v Speaker 2>I mean, that's why you're growing, while most live TV

0:27:01.160 --> 0:27:03.880
<v Speaker 2>isn't growing, even Moffitt nathaness is, and I think shown

0:27:03.920 --> 0:27:05.240
<v Speaker 2>in a light that YouTube is.

0:27:06.040 --> 0:27:06.960
<v Speaker 6>I'm interested in.

0:27:07.000 --> 0:27:09.240
<v Speaker 2>The reason also you're growing is the content you're serving

0:27:09.560 --> 0:27:12.880
<v Speaker 2>NFL NFL Sunday Ticket in particular. How are you starting

0:27:12.920 --> 0:27:14.800
<v Speaker 2>to lure in those people who want to be watching

0:27:14.800 --> 0:27:18.000
<v Speaker 2>those sorts of games from DirecTV? Is it about the

0:27:18.080 --> 0:27:20.440
<v Speaker 2>right price point? How are you deciding where you tackle

0:27:20.480 --> 0:27:21.560
<v Speaker 2>those people for that content?

0:27:21.960 --> 0:27:25.480
<v Speaker 12>So many of those people have already been watching highlights

0:27:25.520 --> 0:27:29.120
<v Speaker 12>and clips of the NFL on YouTube on our ad

0:27:29.119 --> 0:27:32.760
<v Speaker 12>supported platform. What we're doing for the first time ever

0:27:33.080 --> 0:27:37.040
<v Speaker 12>is offering Sunday Ticket under two different platforms. So on

0:27:37.080 --> 0:27:40.480
<v Speaker 12>YouTube Maine you can buy it through primetime channels and

0:27:40.880 --> 0:27:42.280
<v Speaker 12>you can also buy it through.

0:27:42.640 --> 0:27:44.040
<v Speaker 6>YouTube TV as an add on.

0:27:44.520 --> 0:27:47.320
<v Speaker 12>And under DirecTV's model, you had to be a DirecTV

0:27:47.400 --> 0:27:50.199
<v Speaker 12>subscriber in order to purchase Sunday Ticket. You do not

0:27:50.400 --> 0:27:52.720
<v Speaker 12>have to be a YouTube TV subscriber in order to

0:27:52.760 --> 0:27:54.360
<v Speaker 12>purchase Sunday Ticket from YouTube.

0:27:54.400 --> 0:27:55.920
<v Speaker 6>You can do it off of YouTube.

0:27:56.160 --> 0:27:59.320
<v Speaker 2>What about the well, if people want to get inside

0:27:59.359 --> 0:28:02.600
<v Speaker 2>information on their favorite players on basically the content creates

0:28:02.600 --> 0:28:04.679
<v Speaker 2>that are out there surrounding NFO.

0:28:05.040 --> 0:28:06.200
<v Speaker 6>How do you think the world.

0:28:06.080 --> 0:28:08.320
<v Speaker 2>Of influences is going to meet suddenly the world of

0:28:08.400 --> 0:28:10.800
<v Speaker 2>life TV and the way that you can probably bundle it.

0:28:11.119 --> 0:28:13.959
<v Speaker 12>So this is one of the areas we're most excited

0:28:14.000 --> 0:28:19.800
<v Speaker 12>about because we recognize that creators are a really really

0:28:20.280 --> 0:28:25.719
<v Speaker 12>interesting way to present sports content, TV film content, and

0:28:25.760 --> 0:28:28.240
<v Speaker 12>in fact, with Sunday Ticket and with the NFL, we've

0:28:28.280 --> 0:28:31.399
<v Speaker 12>seen a great opportunity to integrate. So at the NFL

0:28:31.520 --> 0:28:35.119
<v Speaker 12>Draft we had thirty two creators there and do Perfect

0:28:35.240 --> 0:28:38.800
<v Speaker 12>actually announced one of the draft picks, which.

0:28:38.680 --> 0:28:39.840
<v Speaker 6>Was very well received.

0:28:40.240 --> 0:28:45.360
<v Speaker 12>Our audience excus younger than other PayTV platforms, and that

0:28:45.600 --> 0:28:49.600
<v Speaker 12>younger audience watches creators in addition to watching TV, film

0:28:49.600 --> 0:28:52.200
<v Speaker 12>and sports content, So it's an integration that they embrace

0:28:52.600 --> 0:28:54.920
<v Speaker 12>and it's a way for us to really bring all

0:28:54.960 --> 0:28:56.800
<v Speaker 12>of the power of YouTube together.

0:28:58.480 --> 0:29:01.160
<v Speaker 3>Laurie our colleagues at Blomberg News reporting over the weekend

0:29:01.240 --> 0:29:04.040
<v Speaker 3>that Apple Netflix are looking at the long term of

0:29:04.280 --> 0:29:07.440
<v Speaker 3>MBA rights, and one of the things they reported is

0:29:07.440 --> 0:29:10.120
<v Speaker 3>that Fox, for example, if they entered the FRAY, could

0:29:10.120 --> 0:29:13.920
<v Speaker 3>be interested in offering a stream through someone else's platform.

0:29:13.960 --> 0:29:16.200
<v Speaker 3>How does YouTube think about the NBA going forward.

0:29:16.760 --> 0:29:21.280
<v Speaker 12>So we are very very very strong partners with the NBA,

0:29:21.440 --> 0:29:25.680
<v Speaker 12>again on platforms such as avod where we have clips

0:29:25.720 --> 0:29:28.480
<v Speaker 12>and highlights, but also on YouTube TV, where we carry

0:29:28.480 --> 0:29:31.760
<v Speaker 12>all of the networks that currently have the rights for

0:29:31.800 --> 0:29:35.320
<v Speaker 12>the NBA. We carry NBA League Pass on primetime channels.

0:29:35.320 --> 0:29:38.280
<v Speaker 12>We were the first streaming service to offer WMBA League

0:29:38.320 --> 0:29:42.840
<v Speaker 12>Pass and offer that on a subscription basis to consumers,

0:29:43.120 --> 0:29:45.080
<v Speaker 12>So we have that partnership in place.

0:29:46.080 --> 0:29:46.280
<v Speaker 4>You know.

0:29:46.320 --> 0:29:51.280
<v Speaker 6>Obviously we are looking to sports, as we.

0:29:51.320 --> 0:29:54.880
<v Speaker 12>Just discussed with NFL Sunday Ticket, as an opportunity to

0:29:54.960 --> 0:30:01.000
<v Speaker 12>continue to deliver rights and games to are viewers who

0:30:01.000 --> 0:30:04.680
<v Speaker 12>are very very sports centered. But at the same time,

0:30:04.920 --> 0:30:09.040
<v Speaker 12>there's nothing you know, to announce in regards to rights

0:30:09.080 --> 0:30:12.080
<v Speaker 12>discussions with the NBA, but we do value their partnership

0:30:12.080 --> 0:30:15.200
<v Speaker 12>and we'll continue to keep our sports fans top of mind.

0:30:15.400 --> 0:30:18.200
<v Speaker 2>Those media partners that you now work with, you've worked

0:30:18.200 --> 0:30:20.720
<v Speaker 2>for in your previous lives. You were the Disney with

0:30:21.320 --> 0:30:25.480
<v Speaker 2>any I'm also noting that we're NBC Universal. What's interesting

0:30:25.600 --> 0:30:28.560
<v Speaker 2>is recently a key executive of an NBC Universal has

0:30:28.600 --> 0:30:30.640
<v Speaker 2>moved across to Go and had Twitter. Who do you

0:30:30.720 --> 0:30:32.720
<v Speaker 2>see as your competition? You must have worked with Linda

0:30:32.760 --> 0:30:35.200
<v Speaker 2>at some point. How do you see sort of this

0:30:35.480 --> 0:30:38.400
<v Speaker 2>ending up? Who will win out or indeed can everyone

0:30:38.480 --> 0:30:40.960
<v Speaker 2>from an offering of sports, of content and the way

0:30:40.960 --> 0:30:42.120
<v Speaker 2>that we want to be consuming it.

0:30:42.960 --> 0:30:48.080
<v Speaker 12>So basically, I think there's room for many platforms. And

0:30:48.880 --> 0:30:52.880
<v Speaker 12>I did work with Linda, and obviously you know she

0:30:52.960 --> 0:30:56.720
<v Speaker 12>has moved to Twitter, and there's value in the Twitter platform,

0:30:56.760 --> 0:30:59.280
<v Speaker 12>There's value in the YouTube platform. There's value in Netflix

0:30:59.280 --> 0:31:02.800
<v Speaker 12>and Disney, plus in all of these services. What I

0:31:02.840 --> 0:31:07.720
<v Speaker 12>really like about YouTube is that we distribute many of

0:31:07.880 --> 0:31:11.560
<v Speaker 12>these services and we make it easier for consumers to

0:31:11.600 --> 0:31:16.040
<v Speaker 12>find them and to transact on them. And so I

0:31:16.120 --> 0:31:21.800
<v Speaker 12>think people are very interested in different types of content

0:31:21.920 --> 0:31:25.600
<v Speaker 12>under different business models, and we always put the customer

0:31:25.680 --> 0:31:27.960
<v Speaker 12>at the center of the equation. And it goes back

0:31:27.960 --> 0:31:30.440
<v Speaker 12>to what I said earlier. If they come to YouTube

0:31:30.480 --> 0:31:32.600
<v Speaker 12>and they want to watch any of that content you

0:31:32.680 --> 0:31:37.080
<v Speaker 12>just mentioned from Disney or NBCUniversal on an ad support basis,

0:31:37.080 --> 0:31:39.040
<v Speaker 12>we have that. If they want to subscribe to a

0:31:39.080 --> 0:31:41.200
<v Speaker 12>director consumer channel, we have that. If they want to

0:31:41.240 --> 0:31:44.320
<v Speaker 12>watch a linear TV channel, we have that and so

0:31:44.480 --> 0:31:47.280
<v Speaker 12>that is the value we bring to the media space

0:31:47.320 --> 0:31:51.280
<v Speaker 12>that does have a lot of players who we consider

0:31:51.360 --> 0:31:52.800
<v Speaker 12>to be great partners.

0:31:53.440 --> 0:31:56.320
<v Speaker 2>We want five million at least eyeballs as well, So

0:31:56.680 --> 0:31:58.920
<v Speaker 2>that's one to watch. We thank you, of course said

0:31:59.200 --> 0:32:00.840
<v Speaker 2>we want to give a piece of thanks as well.

0:32:01.720 --> 0:32:01.920
<v Speaker 4>Yeah.

0:32:02.000 --> 0:32:05.360
<v Speaker 3>Laur Conkling, YouTube, Global head of TV, Film and Sports Partnership.

0:32:05.400 --> 0:32:07.600
<v Speaker 3>Also note Caroy like how many live events are being

0:32:07.640 --> 0:32:10.040
<v Speaker 3>hosted on YouTube as well. You think about earnings calls

0:32:10.280 --> 0:32:12.320
<v Speaker 3>right through to the events that Tesla and Elon Musk

0:32:12.560 --> 0:32:14.600
<v Speaker 3>are holding ironically now that they are on Twitter.

0:32:15.040 --> 0:32:15.680
<v Speaker 4>Very interesting.

0:32:15.720 --> 0:32:19.160
<v Speaker 3>Now coming up AI's impact on the fintech space, we'll

0:32:19.160 --> 0:32:22.520
<v Speaker 3>discuss all that and more with Cambrian Ventures Rex Salisbury.

0:32:22.800 --> 0:32:24.680
<v Speaker 4>That's next. This is Bloomberg.

0:32:48.640 --> 0:32:48.760
<v Speaker 7>Now.

0:32:48.800 --> 0:32:50.600
<v Speaker 3>In today's VC Spotlight, we take a look at the

0:32:50.600 --> 0:32:54.200
<v Speaker 3>world of fintech. Well just kidding, I mean probably artificial intelligence.

0:32:54.200 --> 0:32:57.800
<v Speaker 3>But we welcome Rex Sullisbury, general partner and founder of

0:32:57.880 --> 0:33:01.239
<v Speaker 3>Cambrian Ventures, backing Findeck, founders, the Angel pre Seed and

0:33:01.320 --> 0:33:04.880
<v Speaker 3>Seed levels twenty million dollars in assets under management. Rex

0:33:04.880 --> 0:33:09.000
<v Speaker 3>also founding member of Andresent Horwitz, a sixteen's owned fintech

0:33:09.040 --> 0:33:12.920
<v Speaker 3>team back in the day, I said, just kidding, but actually,

0:33:13.000 --> 0:33:17.200
<v Speaker 3>whether you're in fintech or not, AI is touching everything.

0:33:16.760 --> 0:33:19.720
<v Speaker 4>And anything right now. How's impacting the world that you

0:33:19.800 --> 0:33:20.280
<v Speaker 4>operate in?

0:33:20.360 --> 0:33:23.680
<v Speaker 13>Absolutely, AI is definitely a big trend going on in

0:33:23.720 --> 0:33:26.280
<v Speaker 13>financial services right now. But I want to talk about

0:33:26.360 --> 0:33:29.080
<v Speaker 13>kind of separating the hype in the reality. I like

0:33:29.120 --> 0:33:31.680
<v Speaker 13>to think about AI and financial services as.

0:33:31.560 --> 0:33:32.520
<v Speaker 7>A platform shift.

0:33:32.560 --> 0:33:36.200
<v Speaker 13>So we are now call it eighteen years into the

0:33:36.240 --> 0:33:40.280
<v Speaker 13>transformation that cloud has had in technology. More broadly, cloud

0:33:40.320 --> 0:33:43.760
<v Speaker 13>computing AWS. Two thousand and five, they launched a simple

0:33:43.800 --> 0:33:47.600
<v Speaker 13>storage solution S three, their very first cloud platform financial service,

0:33:48.160 --> 0:33:50.560
<v Speaker 13>very slow to a top cloud technology right.

0:33:50.920 --> 0:33:52.080
<v Speaker 7>Last year, JP.

0:33:51.960 --> 0:33:55.400
<v Speaker 13>Morgan announced their very first cloud computing partnership with thought Machine,

0:33:55.400 --> 0:33:57.400
<v Speaker 13>a London based company. So that is to say, we

0:33:57.480 --> 0:34:01.240
<v Speaker 13>will see a lot of adoption of AI within financial services,

0:34:01.320 --> 0:34:02.920
<v Speaker 13>but it may take may take it.

0:34:03.280 --> 0:34:04.960
<v Speaker 3>Look at some of your Port Friday companies right, some

0:34:05.080 --> 0:34:09.280
<v Speaker 3>of consumer wallets, some are B to B lending platforms.

0:34:09.640 --> 0:34:12.520
<v Speaker 3>What is it that AI is doing, the changes they're offering,

0:34:12.600 --> 0:34:15.480
<v Speaker 3>or the value proposition from your perspective, yet, to put.

0:34:15.320 --> 0:34:19.080
<v Speaker 13>It simply lets them build better software more quickly with

0:34:19.160 --> 0:34:21.920
<v Speaker 13>fewer resources a lot like cloud did. With cloud computing,

0:34:21.920 --> 0:34:24.040
<v Speaker 13>you didn't have to own the servers anymore. You could

0:34:24.040 --> 0:34:25.680
<v Speaker 13>get a product in the market more quickly.

0:34:26.400 --> 0:34:27.359
<v Speaker 7>Now with AI, you.

0:34:27.280 --> 0:34:30.239
<v Speaker 13>Can use very basic tools like gethubs copilot to rate

0:34:31.000 --> 0:34:33.799
<v Speaker 13>write code more quickly. You can also use it to

0:34:33.840 --> 0:34:36.719
<v Speaker 13>do process heavy workloads, which for anyone who's closed to

0:34:36.760 --> 0:34:39.000
<v Speaker 13>mortgage or done anything else in finance knows there are

0:34:39.000 --> 0:34:43.000
<v Speaker 13>a lot of very heavy process flows within financial services.

0:34:43.239 --> 0:34:45.480
<v Speaker 13>And having these new AI tools let you write more

0:34:45.520 --> 0:34:48.440
<v Speaker 13>code more quickly to do more things at lower cost.

0:34:48.920 --> 0:34:52.240
<v Speaker 2>Will it therefore be more democratizing? From where these founders

0:34:52.280 --> 0:34:54.000
<v Speaker 2>are coming from, Rex, Where do you look as it

0:34:54.080 --> 0:34:55.799
<v Speaker 2>purely US, as it purely West Coast?

0:34:55.800 --> 0:34:56.839
<v Speaker 6>Are you looking internationally?

0:34:58.239 --> 0:34:58.439
<v Speaker 7>So?

0:34:58.680 --> 0:35:03.080
<v Speaker 13>I focus on the US, and I specialize particularly in

0:35:03.160 --> 0:35:05.160
<v Speaker 13>B to B or business to business fintech.

0:35:05.400 --> 0:35:06.680
<v Speaker 4>But fintech is very much a.

0:35:06.640 --> 0:35:09.360
<v Speaker 13>Global phenomenon, and I think there is a tremendous amount

0:35:09.400 --> 0:35:13.640
<v Speaker 13>of exciting opportunity for investors globally. As a solo GP,

0:35:13.920 --> 0:35:16.160
<v Speaker 13>I tend to play towards my strengths, and I think

0:35:16.160 --> 0:35:19.680
<v Speaker 13>the US also has a lot of opportunity remaining. We're

0:35:19.880 --> 0:35:23.360
<v Speaker 13>one of the largest unified markets with a really rich

0:35:23.680 --> 0:35:26.560
<v Speaker 13>venture capital ecosystem. The Bay Area in particular has an

0:35:26.560 --> 0:35:30.120
<v Speaker 13>incredibly deep set of networks and some of the best

0:35:30.160 --> 0:35:32.600
<v Speaker 13>founders in the country I think tend to be out here,

0:35:32.640 --> 0:35:35.120
<v Speaker 13>although I have back founders everywhere, so fintech very much

0:35:35.160 --> 0:35:38.720
<v Speaker 13>a global phenomenon, but I am personally focused on backing

0:35:38.760 --> 0:35:40.280
<v Speaker 13>the best US companies.

0:35:40.480 --> 0:35:44.239
<v Speaker 2>It's interesting, Rex, your model is basically taking checks from

0:35:44.320 --> 0:35:47.560
<v Speaker 2>previous fintech founders, putting it into an overall fund to

0:35:47.600 --> 0:35:51.719
<v Speaker 2>then go and see new ideas. How much more jostling

0:35:51.840 --> 0:35:54.960
<v Speaker 2>is there in the very early stage to see the

0:35:55.080 --> 0:35:58.240
<v Speaker 2>very early checks being written at the moment because people

0:35:58.320 --> 0:36:01.480
<v Speaker 2>are more worried about writing large checks in this economic environment.

0:36:03.040 --> 0:36:05.600
<v Speaker 13>That's right, Caroline. I do focus on the preceed and seed.

0:36:05.680 --> 0:36:09.279
<v Speaker 13>Now that's as stage that I'm very excited about because

0:36:09.320 --> 0:36:11.480
<v Speaker 13>I've built out networks over decades, and you're right, we

0:36:11.520 --> 0:36:13.920
<v Speaker 13>do have a bunch of founders who are investors or

0:36:14.000 --> 0:36:16.800
<v Speaker 13>limited partners in the fund. My goal is to provide

0:36:16.880 --> 0:36:19.719
<v Speaker 13>the founder's I support with access from the best networks

0:36:19.719 --> 0:36:22.560
<v Speaker 13>in fintech. So we have founders from places like Plaid,

0:36:22.680 --> 0:36:25.960
<v Speaker 13>Betterment so Far and other places. Sometimes they come along

0:36:25.960 --> 0:36:29.360
<v Speaker 13>as angel investors in the deals I'm investing in. Often

0:36:29.360 --> 0:36:32.880
<v Speaker 13>they end up being advisors or just episodically engaged, provide

0:36:32.960 --> 0:36:35.680
<v Speaker 13>a channel, partnership, connectivity, et cetera. One of the cool

0:36:35.680 --> 0:36:38.880
<v Speaker 13>things about the fintech ecosystem is just how integrated and

0:36:38.960 --> 0:36:41.759
<v Speaker 13>networked it is. Because it's highly regulated, you often need

0:36:41.800 --> 0:36:44.080
<v Speaker 13>to have partners who are doing various aspects of the

0:36:44.080 --> 0:36:47.040
<v Speaker 13>complete solution you're building out. So having access to great

0:36:47.120 --> 0:36:50.040
<v Speaker 13>founders is one of the key differentiators that I bring

0:36:50.080 --> 0:36:52.640
<v Speaker 13>and then tends to benefit the portfolio companies. You had

0:36:52.640 --> 0:36:55.319
<v Speaker 13>a question too about the extent to which it's competitive.

0:36:55.800 --> 0:36:58.040
<v Speaker 13>So a lot of the multi stage firms have pulled

0:36:58.080 --> 0:37:00.239
<v Speaker 13>back a little bit from the preceed and seed. I

0:37:00.280 --> 0:37:03.680
<v Speaker 13>tend to focus very early on and I am intentionally

0:37:03.719 --> 0:37:06.560
<v Speaker 13>a non lead investor and try to be very collaborative

0:37:06.600 --> 0:37:10.160
<v Speaker 13>with other funds that may lead preseater seed rounds.

0:37:10.200 --> 0:37:10.439
<v Speaker 4>Rex.

0:37:10.480 --> 0:37:15.320
<v Speaker 3>How much of tailwind remains from svb's collapse for fintech.

0:37:15.440 --> 0:37:18.800
<v Speaker 13>Yeah, so I think for certain growth stage fintech companies,

0:37:18.880 --> 0:37:21.560
<v Speaker 13>especially business banks, it's been a huge tailwind. If you

0:37:21.600 --> 0:37:24.480
<v Speaker 13>look at deposit inflows to companies like Row and Mercury

0:37:24.520 --> 0:37:28.160
<v Speaker 13>Mercury alans all about two billion dollars of deposit inflows

0:37:28.239 --> 0:37:30.600
<v Speaker 13>just a few weeks after the collapse of SVB. For

0:37:30.640 --> 0:37:32.799
<v Speaker 13>those of you who aren't familiar with SVB or their

0:37:32.840 --> 0:37:35.720
<v Speaker 13>business banking footprint, they had about an eighty percent market

0:37:35.719 --> 0:37:39.919
<v Speaker 13>share of tech enabled or tech startups. Now they pulled

0:37:39.960 --> 0:37:43.160
<v Speaker 13>out Mercury, which has about one hundred thousand customers. Most

0:37:43.160 --> 0:37:45.680
<v Speaker 13>of their companies are also in the tech ecosystem, although

0:37:45.719 --> 0:37:47.880
<v Speaker 13>they also support e commerce to other places. Now the

0:37:47.880 --> 0:37:50.799
<v Speaker 13>biggest in company is out, and Mercury therefore is a

0:37:50.800 --> 0:37:53.560
<v Speaker 13>great place for founders to go to to get access

0:37:53.600 --> 0:37:55.160
<v Speaker 13>to great business banking services.

0:37:55.680 --> 0:37:58.640
<v Speaker 2>Camry Inventions GP and founder. We thank you Mike sels Free.

0:38:06.880 --> 0:38:09.480
<v Speaker 2>Oh it's time now for what's going viral. Guess what

0:38:09.880 --> 0:38:14.400
<v Speaker 2>artificial intelligence is? But it's the risks potentially, and this

0:38:14.520 --> 0:38:17.360
<v Speaker 2>is being pointed out as potentially a risk of extinction.

0:38:17.480 --> 0:38:20.320
<v Speaker 2>It's not coming from a conspiracy theorist. That's a warning

0:38:20.320 --> 0:38:22.440
<v Speaker 2>from a group of industry leaders from Open Ai, Google,

0:38:22.480 --> 0:38:25.719
<v Speaker 2>Deep Mind, other AI labs joining us now to weigh

0:38:25.800 --> 0:38:28.239
<v Speaker 2>in on these concerns if they should be the ones

0:38:28.239 --> 0:38:32.240
<v Speaker 2>in the near term or not. Doctor Sasha Nuccioni research

0:38:32.239 --> 0:38:34.960
<v Speaker 2>scientists that hugging Face which did not sign this latest

0:38:35.040 --> 0:38:39.919
<v Speaker 2>letter coming from CASE, the Center for AI Safety. What

0:38:40.040 --> 0:38:43.000
<v Speaker 2>do you make of these worries about longer term extinction

0:38:43.239 --> 0:38:46.399
<v Speaker 2>visa some of the realities of AI right here right now.

0:38:47.520 --> 0:38:49.200
<v Speaker 14>I think it's a way of controlling the narrative.

0:38:49.440 --> 0:38:51.160
<v Speaker 3>So we should be talking about things.

0:38:51.040 --> 0:38:55.239
<v Speaker 14>Like legislation, things like the risks of bias, the ways

0:38:55.239 --> 0:38:57.400
<v Speaker 14>in which AI is being used, maybe in ways that

0:38:58.239 --> 0:39:00.600
<v Speaker 14>isn't very isn't very a good persons side at large,

0:39:00.640 --> 0:39:03.719
<v Speaker 14>But instead of we're focusing on these hypothetical risks. And

0:39:04.360 --> 0:39:08.000
<v Speaker 14>I think the comparison, especially to pandemics provokes a really

0:39:08.080 --> 0:39:10.800
<v Speaker 14>visceral reaction. So people really, you know, gets them in

0:39:10.840 --> 0:39:13.600
<v Speaker 14>the gut when you compare things to COVID, and so

0:39:14.280 --> 0:39:16.759
<v Speaker 14>we can talk about that instead and focus on that,

0:39:16.880 --> 0:39:19.319
<v Speaker 14>instead of thinking about the things that are impacting our

0:39:19.400 --> 0:39:21.319
<v Speaker 14>daily lives.

0:39:21.440 --> 0:39:24.680
<v Speaker 3>Sasha, when you look at the list of signatories to

0:39:24.760 --> 0:39:28.480
<v Speaker 3>this latest letter or statement on AI risks, what do

0:39:28.520 --> 0:39:31.919
<v Speaker 3>you think is their motivation for doing this?

0:39:32.840 --> 0:39:35.080
<v Speaker 14>I personally see it a bit as a magic trick,

0:39:35.160 --> 0:39:40.520
<v Speaker 14>as misdirection, right. I care very very strongly about for example,

0:39:41.120 --> 0:39:46.600
<v Speaker 14>data consent, for example, disclosing data sources, dis disclosing transparency

0:39:46.600 --> 0:39:50.200
<v Speaker 14>and model documentation, and instead of focusing on that, we're

0:39:50.239 --> 0:39:55.160
<v Speaker 14>being directed towards these unsolvable risks, right, because what can

0:39:55.200 --> 0:39:58.600
<v Speaker 14>we really do if AI is a global threat to humanity?

0:39:58.680 --> 0:39:59.600
<v Speaker 7>What does that really mean?

0:40:00.120 --> 0:40:03.200
<v Speaker 14>And there was already a previous open letter about stopping

0:40:03.560 --> 0:40:08.239
<v Speaker 14>all AI research for six months, which was equally unrealistic,

0:40:08.239 --> 0:40:11.400
<v Speaker 14>I would say, And so I think that these companies

0:40:11.440 --> 0:40:14.839
<v Speaker 14>are are kind of stalling, are stalling real regulation, are

0:40:14.880 --> 0:40:18.839
<v Speaker 14>stalling real measures in AI deployment, in limiting how AI

0:40:18.960 --> 0:40:22.279
<v Speaker 14>is deployed in society. So it's a bit of yeah,

0:40:22.280 --> 0:40:23.160
<v Speaker 14>it's a bit of a hat trick.

0:40:23.960 --> 0:40:26.399
<v Speaker 2>You wrote a great op ed in Why back when

0:40:26.400 --> 0:40:29.640
<v Speaker 2>that first letter by a different organization was put out,

0:40:29.640 --> 0:40:31.800
<v Speaker 2>and you called the call to Holt dangerous. AI research

0:40:32.080 --> 0:40:35.719
<v Speaker 2>ignores the simple truth ultimately, that simple truth being that

0:40:35.800 --> 0:40:38.080
<v Speaker 2>you know that's you can't just halt it, but also

0:40:38.200 --> 0:40:40.880
<v Speaker 2>the fact that you need to improve transparency in the

0:40:40.880 --> 0:40:43.000
<v Speaker 2>here and now, accountability in the here and now, and

0:40:43.040 --> 0:40:45.800
<v Speaker 2>developing guidelines in the here and now? Is anyone doing

0:40:45.840 --> 0:40:49.560
<v Speaker 2>that and you leading it? How do you see real

0:40:50.040 --> 0:40:53.120
<v Speaker 2>impact being made in how AI is disrupting our life.

0:40:54.200 --> 0:40:56.960
<v Speaker 14>There's definitely a lot of people doing impactful work.

0:40:58.400 --> 0:41:00.000
<v Speaker 7>As as I looked.

0:40:59.880 --> 0:41:01.680
<v Speaker 14>At list this morning, I realized that none of them

0:41:01.719 --> 0:41:04.200
<v Speaker 14>signed this letter. So the people working on AI ethics,

0:41:04.840 --> 0:41:08.560
<v Speaker 14>on making sure that you know, predictive policing doesn't get deployed.

0:41:08.800 --> 0:41:10.839
<v Speaker 7>In across the world, things like that.

0:41:10.880 --> 0:41:13.960
<v Speaker 14>The people are doing very impactful work in this field,

0:41:14.120 --> 0:41:17.359
<v Speaker 14>and they don't necessarily get their say in things, right.

0:41:17.440 --> 0:41:22.280
<v Speaker 14>For example, when when the US Senate asks for experts

0:41:22.080 --> 0:41:26.239
<v Speaker 14>in AI, they ask for for example, Sam Altman from

0:41:26.239 --> 0:41:29.279
<v Speaker 14>open Ai, who has a vested interest in AI succeeding right.

0:41:29.360 --> 0:41:31.080
<v Speaker 7>And so we're really seeing.

0:41:31.480 --> 0:41:34.720
<v Speaker 14>A select people controlling the narrative and leading it towards

0:41:34.760 --> 0:41:38.839
<v Speaker 14>this kind of existential risk, future risk, hypothetical risk. And

0:41:38.960 --> 0:41:42.359
<v Speaker 14>the people calling upon the dangers of AI now and

0:41:42.800 --> 0:41:47.560
<v Speaker 14>regulating AI and documenting and you know, transparency, they're not

0:41:47.640 --> 0:41:50.840
<v Speaker 14>being given a seat at the table in many in

0:41:50.880 --> 0:41:52.719
<v Speaker 14>many places, you know, I.

0:41:52.640 --> 0:41:54.359
<v Speaker 3>Think there are those out there that say, I've seen

0:41:54.400 --> 0:41:57.359
<v Speaker 3>the Terminator films, and for me, that's the embodiment of

0:41:57.640 --> 0:41:59.800
<v Speaker 3>the potential risk. I think your point, Sash, is that

0:41:59.800 --> 0:42:03.280
<v Speaker 3>they're many more near term risks hugging Face research scientist

0:42:03.320 --> 0:42:07.200
<v Speaker 3>Sasha Lucciani. Thank you, Caro, We're back together. But that

0:42:07.360 --> 0:42:09.960
<v Speaker 3>does it for this edition of bloom Day Technology.

0:42:10.200 --> 0:42:13.000
<v Speaker 2>One fascinating conversation to end it on ED and Look,

0:42:13.239 --> 0:42:16.360
<v Speaker 2>these AI conversations keep coming up. The short term impact,

0:42:16.440 --> 0:42:18.960
<v Speaker 2>the longer term, the investing implications, the way it's up

0:42:19.040 --> 0:42:21.759
<v Speaker 2>ending business models. Check it out on our podcast from

0:42:21.760 --> 0:42:24.000
<v Speaker 2>New York from San Francisco, Thiss Bloomberg