WEBVTT - Amazon Gets in on AI and Ether Rises After Update

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<v Speaker 1>From the hard of We're Innovation, Money and Power Collie

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<v Speaker 1>in Silicon Vallet, NBM. This is Bloomberg Technology with Caroline

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<v Speaker 1>Hide and Ted loved Love. I'm Caroline Hide at work

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<v Speaker 1>Bloomberg's World headquarters in New York and I made Love

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<v Speaker 1>law out here in San Francisco. This is Bloomberg Technology

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<v Speaker 1>coming up. Amazon the latest to show love for AI.

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<v Speaker 1>In Andy Jesse's annual shareholder letter, the CEO pledges to

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<v Speaker 1>keep investing in such growth areas despite cost cutting initiatives.

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<v Speaker 1>We're going to dive deep into the world of crypto

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<v Speaker 1>as Ether tops two thousand U S dollars after its

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<v Speaker 1>software update went off without a hitch. John wuerav Labs

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<v Speaker 1>joints to discuss plus, how does a four day work

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<v Speaker 1>week sound. We'll speak with Nobel Prize winning economist Christopher Sarides,

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<v Speaker 1>who says AI it may increase productivities so much will

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<v Speaker 1>shave a day off your weekly work calendar. At first,

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<v Speaker 1>a big name and a big outperformer in the market

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<v Speaker 1>is Amazon as well. You look at the gains the

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<v Speaker 1>stock has made. It took it a while to get

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<v Speaker 1>going after they introduced two new large language models. We're

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<v Speaker 1>going to talk a lot about this throughout the day

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<v Speaker 1>on Bloomberg Television, but it's focused pretty firmly on cloud customers,

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<v Speaker 1>a tool for generating text, but also a sort of

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<v Speaker 1>platform to foster an ecosystem of AI. That stock up

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<v Speaker 1>eight tens of percent on a two day basis, but

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<v Speaker 1>really jumping higher caroline in this early trading of Thursday's session. Yeah,

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<v Speaker 1>and the Titan announcement all came within a focus from

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<v Speaker 1>Amazon CEO Andy Jase on or where they're going to

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<v Speaker 1>be investing. It's his second annual letter to shareholders, and

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<v Speaker 1>he read a pledge to keep putting money into big,

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<v Speaker 1>long term mets despite those cost cuts and an uncertain economy.

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<v Speaker 1>He's moving ahead with a global expansion, looking at efforts

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<v Speaker 1>to become a bigger player on groceries and healthcare and

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<v Speaker 1>of course as a generative AI part. Let's talk all

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<v Speaker 1>of that with Bloomberg's Spencer Soap, and let's go to

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<v Speaker 1>the old school Amazon and they might say that AI

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<v Speaker 1>is an old school for them too, but let's talk

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<v Speaker 1>about groceries. Let's talk about e commerce. I mean, where

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<v Speaker 1>are they looking to expand there on groceries in e commerce?

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<v Speaker 1>Just because there's such huge consumer spending categories, and it's

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<v Speaker 1>not really new. You know, Amazon has been trying that

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<v Speaker 1>for a while now, you know, groceries more than a decade,

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<v Speaker 1>and then they had that the big Whole Foods acquisition

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<v Speaker 1>several years ago, which has kind of fallen flat. They've

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<v Speaker 1>got this new iteration of a supermarket. They've tried, they

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<v Speaker 1>tried Amazon Go. They've had a lot of false starts

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<v Speaker 1>on it, but it's still just such a huge spending category.

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<v Speaker 1>And then it doves tails nicely with healthcare, particularly pharmacy,

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<v Speaker 1>and Amazon is trying a lot of the same old

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<v Speaker 1>tricks that other big retailers try, like you know, cheap,

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<v Speaker 1>cheap prescription drugs. You know, everybody and his brother does that,

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<v Speaker 1>so it's it's not really differentiating, but they remain they

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<v Speaker 1>remain important targets for Amazon just as a way to

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<v Speaker 1>grow revenue because there's so much money spent in those

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<v Speaker 1>in those areas spend. So the commentary around AWS is

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<v Speaker 1>really interesting. You know, this has been the cash cow

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<v Speaker 1>for Amazon, and let yeah, Jasse points out the short

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<v Speaker 1>term headwinds the challenges facing AWS, and then gave us

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<v Speaker 1>this kind of long time horizon of how well it

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<v Speaker 1>can do even the next decade. Yeah, and he was

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<v Speaker 1>he was definitely trying to you know, fleck back to

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<v Speaker 1>history where Amazon faced difficult economic conditions and prevailed, you know,

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<v Speaker 1>did made the hard decisions, made tough choices, but still

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<v Speaker 1>came out at the end of the at the end

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<v Speaker 1>of the tunnel. Anythink, trying to emphasize that Amazon is

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<v Speaker 1>still a strong company, that that can emerge through this uh,

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<v Speaker 1>through it through a downturn, and come out stronger on

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<v Speaker 1>the other end. And it's really the one area where

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<v Speaker 1>he can kind of gin up some some excitement and enthusiasm.

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<v Speaker 1>You know, that's really what he had to do with

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<v Speaker 1>this letter. The stocks down you know, about half nearly

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<v Speaker 1>nearly half from its pandemic highs. You know that that

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<v Speaker 1>rips you know, not just investors, but also employees who

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<v Speaker 1>get a lot of their compensation by the by the

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<v Speaker 1>stock value. Then also all of the cuts of deteriorated morale.

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<v Speaker 1>So he's got to you know, it's a heavy lift

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<v Speaker 1>for him, but he's got to do something to try

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<v Speaker 1>to try to energize this company right now. And at

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<v Speaker 1>the end of the letter he tries to do just that.

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<v Speaker 1>With the focus on artificial intelligence, trying to remind us

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<v Speaker 1>that for decades they've been looking at machine learning, they're

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<v Speaker 1>looking at chip investment there, but just talk to us

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<v Speaker 1>about the large language models that are being offered and

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<v Speaker 1>what makes it different because it's not a chatbot. Yeah,

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<v Speaker 1>and I think what Amazon is really trying to say

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<v Speaker 1>is listen. You know, if you look at the history

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<v Speaker 1>in the marketplace model, they just kind of want to

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<v Speaker 1>be in the middle of it. Amazon wants to position

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<v Speaker 1>itself as a as a as a marketplace where you

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<v Speaker 1>go to access these tools, and as long as it's

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<v Speaker 1>got people coming for those tools, it's going to get

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<v Speaker 1>the best tools that people want exposure to. So I

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<v Speaker 1>think it's really looking looking to make itself, uh, you know,

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<v Speaker 1>a marketplace for ideas and a can do it for

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<v Speaker 1>these ideas to be utilized. Right Bloomberg Spencer, Soapa or

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<v Speaker 1>Addie Seattle, thank you and stay with us on Bloomberg Television.

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<v Speaker 1>We have a conversation later today with AWS CEO Adams

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<v Speaker 1>Alpski that you don't want to miss at two pm

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<v Speaker 1>East and eleven am Pacific. I've been speaking carow to

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<v Speaker 1>some AWS custom this morning. We certainly have some interesting

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<v Speaker 1>AI related questions to put to him. And another key

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<v Speaker 1>story that we're following SoftBank moving to sell more of

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<v Speaker 1>its stake in Chinese Internet. John Ali Baba, I'm winding

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<v Speaker 1>with that initial bed that spurred Massochi's son to really

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<v Speaker 1>take ambitions to invest billions of dollars into other startups,

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<v Speaker 1>trying out some pieces safe more is isabel Lee and

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<v Speaker 1>why sell out and in what way are they setting out?

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<v Speaker 1>So this is really interesting. So SoftBank is looking to

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<v Speaker 1>sell a majority of its steake to China to really

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<v Speaker 1>trim to Availibaba, to trim it stake in China and

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<v Speaker 1>to raise fund. So this is quite a move because

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<v Speaker 1>from holding a majority stake at one point around thirty

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<v Speaker 1>four percent, they're whittling it down to four percent three

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<v Speaker 1>point ninety eight to be exact. So this year they're

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<v Speaker 1>looking to sell seven billion worth of shares. That's following

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<v Speaker 1>last year where they sold around twenty nine billion. And

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<v Speaker 1>the important thing to note here is that these are

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<v Speaker 1>prepaid forward contracts, which means that they could still buy

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<v Speaker 1>back the shares, but from the previous deals they just

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<v Speaker 1>didn't hold on to those and just sold them. And

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<v Speaker 1>this all comes at a time that the Vision Fund

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<v Speaker 1>bet the bets are startups to SoftBank, I just haven't

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<v Speaker 1>fed that overall business. Well, it's why the market's interpretation

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<v Speaker 1>of this is so interesting. You know, it says something

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<v Speaker 1>about China and investors exposure to China, but it also

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<v Speaker 1>says quite a lot about soft Bank, right about what

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<v Speaker 1>do we take away from this, about how soft Banks

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<v Speaker 1>having to maneuver given the losses that it suffered from

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<v Speaker 1>its startup bets. So this is really quite a pivotal

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<v Speaker 1>moment because you're right, there's so many things at play here. First,

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<v Speaker 1>for SoftBank, they lost a lot of money when they

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<v Speaker 1>were investing a lot of money in Vision Fund, and

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<v Speaker 1>as we know, a lot of those startups are now

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<v Speaker 1>fledgend companies. And SoftBank said that they want to exercise

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<v Speaker 1>regular they want excess financial prudence, they want to just

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<v Speaker 1>cut back on risks, and they also want to raise

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<v Speaker 1>money for the chip making design firm they're looking to

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<v Speaker 1>take a public called arm But at the same time,

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<v Speaker 1>this comes at a time when Ali Baba two hundred

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<v Speaker 1>billion giant has broken down into six units, six baby

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<v Speaker 1>babas as some people have called it. But we don't

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<v Speaker 1>know how that's going to play out, because clearly there

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<v Speaker 1>will be favorites. For instance, how bout that's a pow

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<v Speaker 1>joel of Ali Baba, Likely that will do well, but

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<v Speaker 1>what about the others. So there's so many factors that

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<v Speaker 1>play here. China is now looking to really be more

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<v Speaker 1>friendly to entrepreneurs, but then who still knows. I mean,

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<v Speaker 1>this comes after several years of intense crackdown on Chinese

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<v Speaker 1>tech giants. Ali Baba included all Right bloombergs Isabel Lee

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<v Speaker 1>on the China Tech Beat. Thank you. Let's talk crypto.

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<v Speaker 1>Let's talk ef right now at top two thousand dollars

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<v Speaker 1>for the first time since August, after a widely anticipated

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<v Speaker 1>software upgrade to what is the most commercially important blockchain

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<v Speaker 1>went pretty according to plan and worries those initial rapid outflows,

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<v Speaker 1>it seemed to be proved unfounded to see yup more

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<v Speaker 1>than five percent as we speak. John Woo, president of

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<v Speaker 1>Ava Labs building smart contracts platform Avalanche, is with us.

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<v Speaker 1>Always great to have you in the house. It's nice

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<v Speaker 1>to see you, Carol. Let's talk about what this upgrade means.

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<v Speaker 1>I know that there's interoperability with Ethan, your platform that

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<v Speaker 1>you're building. Is this going to help yet further just

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<v Speaker 1>build back a little bit of confidence in the space

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<v Speaker 1>a little yes. I mean it's a fantastic thing in

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<v Speaker 1>the sense that going from proof for work to proof

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<v Speaker 1>for stake basically decreases the energy requirement to run ethereum.

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<v Speaker 1>The short term relief is basically it went without a

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<v Speaker 1>technical glitch and there was not as much selling of

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<v Speaker 1>eth out of this. So that's why ethereum is breaking

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<v Speaker 1>through two thousand and the whole space is actually frankly

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<v Speaker 1>doing decent, but it's important to understand why it's sing

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<v Speaker 1>so well and who's buying it and that kind of thing. Yeah,

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<v Speaker 1>because there is This is where we get the distinction

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<v Speaker 1>between Bitcoin, which generally is just an asset and meant

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<v Speaker 1>to be a store of value, then got e which

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<v Speaker 1>the hope is around smart contracts, That hope is around adoption.

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<v Speaker 1>But is that going to become an obvious use case

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<v Speaker 1>right here, right now because we don't wait for the

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<v Speaker 1>killer DAP And it does, and that is a use

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<v Speaker 1>case for people in the crypto ecosystem in order to

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<v Speaker 1>get yield. Now they can stake their ethereum, So that's

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<v Speaker 1>very positive for in etherium, in crypto asset people. In fact,

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<v Speaker 1>a lot of this rally we've seen in the last

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<v Speaker 1>year to data to speak, it's been a better asset

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<v Speaker 1>class than any other asset class, even tech stocks. Is

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<v Speaker 1>because it's been driven by on chain people, crypto natives,

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<v Speaker 1>and also international people. It's not so much that new

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<v Speaker 1>money or the institutional adoption interesting and naturally it's all

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<v Speaker 1>about well teasing out potentially future international and institutional adoption

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<v Speaker 1>at the moment end where well, there's an NFT week

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<v Speaker 1>going on here in New York and of a plenty

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<v Speaker 1>of people focusing on the upgrade. But were you doing

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<v Speaker 1>some sort of watch party out there at SF No,

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<v Speaker 1>no watch party for me. For context, John twenty four

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<v Speaker 1>hours ago, Kate Lawrence of bloc Celerat was on, We're

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<v Speaker 1>talking about how for the industry, right amid all of

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<v Speaker 1>the volatility in the pricing of certain tokens, people still

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<v Speaker 1>watch the technological for the technology grow updates. My question

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<v Speaker 1>is why why is it such a key moment for

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<v Speaker 1>an industry to track the underlying technology that powers those platforms.

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<v Speaker 1>So earlier I just said that the rally has been

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<v Speaker 1>drawn by native crypto people and in my opinion for

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<v Speaker 1>this asset class that continue to grow in price, at least,

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<v Speaker 1>you really really need institutional buyers to come into the space.

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<v Speaker 1>And for real institutional buyers to come into the space,

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<v Speaker 1>you need real utility, real world use cases, and you're

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<v Speaker 1>seeing that. You know, one of the big things for

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<v Speaker 1>NFT NYC this time around versus last year is that

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<v Speaker 1>although there are fewer people here, there's quality brands. A

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<v Speaker 1>lot of brands are coming to see how the NFT

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<v Speaker 1>construct can help them with their loyalty plans and loyalty

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<v Speaker 1>programs and also increase engagement. So you're seeing some real

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<v Speaker 1>use cases and discussion of building real things for big brands.

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<v Speaker 1>You know, John, when last you were on with us

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<v Speaker 1>is the afternoon the SVB collapsed, and you were going

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<v Speaker 1>to come on and talk about what we're talking about

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<v Speaker 1>right now, and we got sidetracked. In of all the

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<v Speaker 1>volatility in recent weeks in markets, the industry's access to funding,

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<v Speaker 1>what are you seeing in New York City among that

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<v Speaker 1>NFT conversation is that a marketplace that's back on track

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<v Speaker 1>and that people are kind of optimistic about investing in.

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<v Speaker 1>So you're not seeing the OTC markets or the on

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<v Speaker 1>ramps like FIAT like through coin Base into the crypto

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<v Speaker 1>ecosystem really picking up. Yet they are still hesitant, but

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<v Speaker 1>the excitement inside the ecosystem of crypto has been reinvigorated.

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<v Speaker 1>Most of this price rally, people who don't realize happened

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<v Speaker 1>right after SVB. It was a reminder to the crypto

0:11:45.480 --> 0:11:48.199
<v Speaker 1>native people as to why they got into this space originally,

0:11:48.440 --> 0:11:51.520
<v Speaker 1>the mistrust they have for large institutions. You know, that's

0:11:51.520 --> 0:11:54.520
<v Speaker 1>why bigcoin became very popular after two thousand and eight.

0:11:54.679 --> 0:11:57.960
<v Speaker 1>And because of that reminder, I think it reinvigorated the

0:11:58.040 --> 0:12:02.599
<v Speaker 1>crypto native community. We saw a lot of uptick in

0:12:02.640 --> 0:12:05.200
<v Speaker 1>Bitcoin and if maybe not so much the old coins job,

0:12:05.280 --> 0:12:08.880
<v Speaker 1>but talk to us about your own initiatives right now,

0:12:08.920 --> 0:12:13.200
<v Speaker 1>because you say there's utility, there's purpose. Big brands, well,

0:12:13.200 --> 0:12:15.719
<v Speaker 1>you've got some key financial players coming on to try

0:12:15.760 --> 0:12:19.560
<v Speaker 1>and understand how they can use blockchain technology, right name

0:12:19.640 --> 0:12:21.600
<v Speaker 1>some of the people and what you're really building. So

0:12:21.679 --> 0:12:24.440
<v Speaker 1>from what I'm seeing, especially in the US asset managers,

0:12:24.840 --> 0:12:27.400
<v Speaker 1>they want to be involved in the space, but they're hesitant.

0:12:27.440 --> 0:12:29.840
<v Speaker 1>They're not sure of the regulatory framework, and they need

0:12:29.840 --> 0:12:32.560
<v Speaker 1>to learn the technology better. So this is why we

0:12:32.679 --> 0:12:36.480
<v Speaker 1>announced yesterday a project called Spruce, which is a public

0:12:36.880 --> 0:12:41.160
<v Speaker 1>blockchain permission only by the ky c k y b

0:12:41.360 --> 0:12:46.160
<v Speaker 1>AML functionality. We're doing this in part with Wellington, trow

0:12:46.240 --> 0:12:49.160
<v Speaker 1>Price and whis Entry. What they're going to experience is

0:12:49.200 --> 0:12:53.000
<v Speaker 1>what the ability to see the power of execution and

0:12:53.559 --> 0:12:56.800
<v Speaker 1>settlement in real time, the cost savings of putting this

0:12:56.920 --> 0:13:01.000
<v Speaker 1>in this system together, and it's a safe place because

0:13:01.000 --> 0:13:05.320
<v Speaker 1>it's a token valueless transfer. So it's a test net,

0:13:05.640 --> 0:13:10.439
<v Speaker 1>but they will be able to experience an institutional defy component.

0:13:10.720 --> 0:13:13.520
<v Speaker 1>No one's been able to do this so far, and

0:13:13.559 --> 0:13:15.240
<v Speaker 1>this is gonna be the first time they can really

0:13:15.280 --> 0:13:19.840
<v Speaker 1>explore defy. John, I get what the Spruce test net

0:13:19.880 --> 0:13:22.079
<v Speaker 1>offers to both the buy and sell side in terms

0:13:22.120 --> 0:13:25.880
<v Speaker 1>of access. You're a businessman, I'm actually quite curious about

0:13:25.920 --> 0:13:28.000
<v Speaker 1>how you make money off this model. What is the

0:13:28.040 --> 0:13:30.840
<v Speaker 1>business that you've created here? Well, first we have to

0:13:30.880 --> 0:13:35.160
<v Speaker 1>create adoption, and this is the first step towards adopting this.

0:13:35.800 --> 0:13:39.200
<v Speaker 1>So All the Labs is a software technology company. At

0:13:39.240 --> 0:13:43.400
<v Speaker 1>some point we will provide services no different from AWS

0:13:43.480 --> 0:13:48.760
<v Speaker 1>for things in the cloud. Instead of storage and compute power.

0:13:48.840 --> 0:13:52.720
<v Speaker 1>Services will be providing different features and tools for developers

0:13:52.800 --> 0:13:56.600
<v Speaker 1>and for places like Wellington or Tiro or Wisdom Tree

0:13:56.679 --> 0:13:59.360
<v Speaker 1>to create their own applications, for them to create their

0:13:59.400 --> 0:14:02.240
<v Speaker 1>own them or their marketplace, for them to create their

0:14:02.240 --> 0:14:05.800
<v Speaker 1>own lending barring DAP. And right now we've gotten partners

0:14:05.960 --> 0:14:10.200
<v Speaker 1>in the applications and we've gotten the traditional institution to

0:14:10.360 --> 0:14:14.360
<v Speaker 1>try things out and see what DeFi is all about. John,

0:14:14.400 --> 0:14:16.560
<v Speaker 1>we have a lab's good to catch up. Thank you

0:14:16.600 --> 0:14:19.200
<v Speaker 1>for coming back on the show. Now coming up. In

0:14:19.280 --> 0:14:22.560
<v Speaker 1>an effort to reduce its reliance on China, Apple is

0:14:22.560 --> 0:14:26.160
<v Speaker 1>putting India in the spotlight and tripling production in what's

0:14:26.200 --> 0:14:30.280
<v Speaker 1>now considered the world's fastest growing smartphone market. Caroline sick

0:14:30.280 --> 0:14:33.520
<v Speaker 1>with India because we're also watching shows of emphasis. Sales

0:14:33.720 --> 0:14:36.600
<v Speaker 1>outlook look pretty disappointing. End that really under schools just

0:14:36.640 --> 0:14:39.520
<v Speaker 1>how clients are tightening it budgets. They're trying to weather

0:14:39.520 --> 0:14:41.840
<v Speaker 1>this economic slowdown. Is a sea off by ten percent

0:14:41.920 --> 0:14:44.760
<v Speaker 1>in the last couple of days. From New York and

0:14:44.880 --> 0:15:07.800
<v Speaker 1>from San Francisco, this is ret It's time now for

0:15:07.960 --> 0:15:11.360
<v Speaker 1>talking tech trucking startup Trailler. Well, it's winding down its

0:15:11.360 --> 0:15:14.040
<v Speaker 1>business in Pakistan and stopped taking new orders last month.

0:15:14.080 --> 0:15:17.000
<v Speaker 1>It's according to sources, now says the Egypt based platform

0:15:17.200 --> 0:15:19.840
<v Speaker 1>that connects hippers to carriers. I was looking to exit

0:15:19.880 --> 0:15:23.320
<v Speaker 1>an economy that's going through one of its biggest crises. Meanwhile,

0:15:23.480 --> 0:15:26.960
<v Speaker 1>US purchases from machine of machines from Taiwan to make

0:15:27.000 --> 0:15:29.560
<v Speaker 1>computer chips they rose to a record hive seventy one

0:15:29.600 --> 0:15:32.280
<v Speaker 1>million in March. That says the Biden ministration here is

0:15:32.320 --> 0:15:36.080
<v Speaker 1>working to reinvigorate the domestic chip industry. Taiwan saw its

0:15:36.160 --> 0:15:38.320
<v Speaker 1>USX sports wherese one the forty two percent in the

0:15:38.400 --> 0:15:40.640
<v Speaker 1>month in March from a year earlier. It's all according

0:15:40.680 --> 0:15:44.320
<v Speaker 1>to data from the Ministry of Finance. An Apple assembled

0:15:44.360 --> 0:15:47.920
<v Speaker 1>more than seven billion dollars worth of iPhones in India

0:15:48.080 --> 0:15:51.440
<v Speaker 1>last fischool year, tripling the production there after accelerating a

0:15:51.640 --> 0:15:55.240
<v Speaker 1>move beyond China. Now the iphonemaker now makes almost seven

0:15:55.280 --> 0:15:57.800
<v Speaker 1>percent of its phones in India, according to sources and

0:15:57.880 --> 0:16:00.200
<v Speaker 1>ed we're going to stick on that theme. Yeah, it's

0:16:00.200 --> 0:16:03.760
<v Speaker 1>a really key piece of reporting in an ongoing situation

0:16:03.800 --> 0:16:06.680
<v Speaker 1>for Apple. That's bringing Anna Agran, a senior tech analyst

0:16:07.040 --> 0:16:11.840
<v Speaker 1>at Bloomberg Intelligence, so in shore. Apple is building more

0:16:11.880 --> 0:16:15.760
<v Speaker 1>iPhones in India and exporting more iPhones in India. In

0:16:15.840 --> 0:16:21.320
<v Speaker 1>your fundamental analysis, what's the net result for Apple financially. Yeah, so,

0:16:21.480 --> 0:16:23.320
<v Speaker 1>you know, when you look at it, I think it's

0:16:23.120 --> 0:16:25.760
<v Speaker 1>just more of a supply chain issue than financial because,

0:16:25.800 --> 0:16:28.880
<v Speaker 1>frankly speaking, the best supply chain is in China. It's

0:16:28.920 --> 0:16:31.640
<v Speaker 1>taken about twenty years to build that. So they build

0:16:31.680 --> 0:16:34.200
<v Speaker 1>it anywhere outside it's going to be slightly more expensive

0:16:34.320 --> 0:16:37.920
<v Speaker 1>in the first few years. But frankly speaking, when we

0:16:37.960 --> 0:16:41.440
<v Speaker 1>saw back in November when because of COVID the iPhone

0:16:41.440 --> 0:16:44.160
<v Speaker 1>pro factory shut down, it did have an impact on

0:16:44.200 --> 0:16:48.760
<v Speaker 1>them financially. That too, plus the ongoing geopolitical tensions between

0:16:48.840 --> 0:16:51.120
<v Speaker 1>the US and China. You know, it is in the

0:16:51.160 --> 0:16:55.160
<v Speaker 1>best interest of Apple and Apple shareholders that they diversify

0:16:55.280 --> 0:16:58.280
<v Speaker 1>the supply chain outside of China to other regions, whether

0:16:58.320 --> 0:17:01.520
<v Speaker 1>it's Vietnam, India, Mexico, or almost everywhere. I would say,

0:17:02.000 --> 0:17:05.120
<v Speaker 1>and what about the end user in India as well.

0:17:05.280 --> 0:17:08.400
<v Speaker 1>It's not only about supply from there, it's the demand

0:17:08.400 --> 0:17:11.040
<v Speaker 1>there that they want to satiate. You Yeah, I think

0:17:11.080 --> 0:17:12.680
<v Speaker 1>this is one of one of the most fun things.

0:17:12.680 --> 0:17:15.880
<v Speaker 1>You look at it. You know, if Apple's installed base

0:17:16.119 --> 0:17:19.880
<v Speaker 1>in India is so small compared to the population, which

0:17:19.920 --> 0:17:21.720
<v Speaker 1>means it is going to be a very big growth

0:17:21.760 --> 0:17:24.240
<v Speaker 1>market for them over the next decade. They're opening a

0:17:24.280 --> 0:17:27.679
<v Speaker 1>store next you know, next week in India, and you know,

0:17:27.720 --> 0:17:29.560
<v Speaker 1>we have looked at some numbers. So if they are

0:17:29.600 --> 0:17:32.879
<v Speaker 1>about let's say, six hundred million smartphones in India, you know,

0:17:32.920 --> 0:17:35.320
<v Speaker 1>Apple only plays in that ten percent of the market.

0:17:35.320 --> 0:17:37.399
<v Speaker 1>I mean, they have a very small market share, not

0:17:37.440 --> 0:17:40.320
<v Speaker 1>even ten percent there. The market share is miniscal. Less

0:17:40.320 --> 0:17:44.000
<v Speaker 1>than five percent of Apple's iPhone revenue comes from India

0:17:44.000 --> 0:17:47.119
<v Speaker 1>based on artwork, and I think this is this is

0:17:47.160 --> 0:17:49.800
<v Speaker 1>a big growth opportunity for them in the coming years,

0:17:49.840 --> 0:17:53.240
<v Speaker 1>and largely because as the middle class in India you know,

0:17:53.280 --> 0:17:56.359
<v Speaker 1>becomes richer and and and it's more affluent, they're able

0:17:56.400 --> 0:17:59.400
<v Speaker 1>to afford a luxury product like Apple. You know, currently

0:17:59.440 --> 0:18:03.359
<v Speaker 1>that market is dominated by Android. We also reported that

0:18:03.520 --> 0:18:08.520
<v Speaker 1>like local regulations require you know, components sourced and supply

0:18:08.600 --> 0:18:11.960
<v Speaker 1>chain source within that nation. Apple seems to be kind

0:18:12.000 --> 0:18:15.840
<v Speaker 1>of rethinking it's global strategy right now when it comes

0:18:15.880 --> 0:18:19.960
<v Speaker 1>to India. How quick does that ramp in market opportunity come.

0:18:20.000 --> 0:18:22.880
<v Speaker 1>It seems like this is a long term project, right Yeah, yeah, Yeah,

0:18:22.920 --> 0:18:24.760
<v Speaker 1>it is going to be a long term project because

0:18:24.800 --> 0:18:26.640
<v Speaker 1>you know, but I mean, as you can think about it.

0:18:27.480 --> 0:18:30.520
<v Speaker 1>If ninety percent of the iPhones are under let's say,

0:18:30.800 --> 0:18:34.320
<v Speaker 1>you know, three hundred four hundred dollars, I shouldn't say iPhone,

0:18:34.359 --> 0:18:38.160
<v Speaker 1>but of the smartphones are under three hundred dollars, Apple

0:18:38.200 --> 0:18:40.560
<v Speaker 1>doesn't play in that market, so it's can't even tap

0:18:40.600 --> 0:18:43.280
<v Speaker 1>into it. But it's as that middle class becomes more

0:18:43.320 --> 0:18:46.719
<v Speaker 1>raflu when they are richer, the per capita income goes up,

0:18:46.920 --> 0:18:48.640
<v Speaker 1>and I think that's more of a five to ten

0:18:48.720 --> 0:18:51.240
<v Speaker 1>year trend rather than something that will happen over the

0:18:51.280 --> 0:18:54.520
<v Speaker 1>next couple of years and giving us the global perspective.

0:18:54.560 --> 0:18:57.920
<v Speaker 1>We love it. Granna, thank you of Blomberg Intelligence. Let's

0:18:57.960 --> 0:19:00.920
<v Speaker 1>talk about now we Work a bench just started by

0:19:00.960 --> 0:19:04.880
<v Speaker 1>we Work and a private equity firm, Roan Group. Oh, accordingly,

0:19:05.040 --> 0:19:08.320
<v Speaker 1>it's defaulted on a loan for a San Francisco office tower. Now,

0:19:08.320 --> 0:19:10.199
<v Speaker 1>the two hundred and forty million dollars loan was for

0:19:10.320 --> 0:19:13.600
<v Speaker 1>a building in San Francisco's Financial District, which is owned

0:19:13.640 --> 0:19:16.080
<v Speaker 1>by funds managed by the venture formed by we Work

0:19:16.119 --> 0:19:19.160
<v Speaker 1>and Roan back in twenty nineteen. That was to buy

0:19:19.240 --> 0:19:29.840
<v Speaker 1>an oversea with estate led. Welcome back to Bloomberg Technology.

0:19:29.840 --> 0:19:32.560
<v Speaker 1>I'm Caroline Hide in New York and Imed Ludlow here

0:19:32.600 --> 0:19:35.080
<v Speaker 1>in San Francisco. It's going to check on those markets. Caroline.

0:19:35.119 --> 0:19:37.760
<v Speaker 1>This is what your technology sector looks like in the

0:19:37.800 --> 0:19:40.760
<v Speaker 1>equity space, and that's that one hundred continuing to push higher,

0:19:41.080 --> 0:19:42.919
<v Speaker 1>up one point six percent. You've got the kind of

0:19:42.920 --> 0:19:45.560
<v Speaker 1>softening of data both on the jobs and inflation front,

0:19:45.800 --> 0:19:48.120
<v Speaker 1>which is kind of fueling the idea that actually, when

0:19:48.160 --> 0:19:50.760
<v Speaker 1>you come to the FED in this rate hiking cycle,

0:19:50.880 --> 0:19:52.760
<v Speaker 1>we might be nearing the end. You can see out

0:19:52.760 --> 0:19:55.720
<v Speaker 1>performance as well in the US listed shares of Chinese

0:19:55.800 --> 0:19:59.480
<v Speaker 1>technology companies and bitcoin off session high as we were

0:19:59.480 --> 0:20:02.520
<v Speaker 1>at a fifty week high on that bitcoin, but kind

0:20:02.520 --> 0:20:05.840
<v Speaker 1>of pulled back a little bit near thirty thirty thousand,

0:20:05.960 --> 0:20:09.119
<v Speaker 1>five hundred dollars per token. A lot of movement in

0:20:09.400 --> 0:20:12.680
<v Speaker 1>the single names in the stock market around AI, Amazon

0:20:13.000 --> 0:20:16.880
<v Speaker 1>pushing higher, both based on the annual shareholder letter from

0:20:16.960 --> 0:20:20.399
<v Speaker 1>CEO Andy Jats up three point five percent, but also

0:20:20.480 --> 0:20:22.320
<v Speaker 1>the news around their large language models, which I know

0:20:22.359 --> 0:20:25.040
<v Speaker 1>you're going to get into. Other names gaining C three

0:20:25.080 --> 0:20:28.720
<v Speaker 1>AI and some giving games back big Bear down seven percent,

0:20:28.800 --> 0:20:30.840
<v Speaker 1>all of them kind of looking at how to use

0:20:31.320 --> 0:20:34.640
<v Speaker 1>generative AI tools, but in their enterprise or cloudspace, which

0:20:34.680 --> 0:20:36.960
<v Speaker 1>is where Amazon is really focused. Carrect Yeah, Big Bear

0:20:37.040 --> 0:20:39.560
<v Speaker 1>looking to potentially sell more stock in the future, supply

0:20:39.680 --> 0:20:41.560
<v Speaker 1>wearing a lower But let's go back to where you're

0:20:41.560 --> 0:20:44.560
<v Speaker 1>just hinting out the Amazon News because it's joining Microsoft,

0:20:44.560 --> 0:20:47.400
<v Speaker 1>it's joining Google, it's joining everyone basically in the generative

0:20:47.440 --> 0:20:50.920
<v Speaker 1>AI race. End announcing technology aimed at its cloud customers

0:20:50.920 --> 0:20:55.000
<v Speaker 1>in particular, as well as marketplace for AI tools from

0:20:55.080 --> 0:20:58.840
<v Speaker 1>other companies. Now, the Amazon Web Services unit announced not one,

0:20:58.880 --> 0:21:01.879
<v Speaker 1>but two of its own large language models, one designed

0:21:01.880 --> 0:21:04.560
<v Speaker 1>to generate text and another that could help power web

0:21:04.640 --> 0:21:08.840
<v Speaker 1>search personalization. But and it's big, but plans to release

0:21:08.920 --> 0:21:11.960
<v Speaker 1>a chatbot as yet. But let's dig into this whole

0:21:11.960 --> 0:21:15.159
<v Speaker 1>world of generative AI and in particular chat GPT. The

0:21:15.200 --> 0:21:18.719
<v Speaker 1>revolution that basically seems to have opened, could it actually

0:21:18.760 --> 0:21:21.080
<v Speaker 1>open for productivity to mean that you and I have

0:21:21.560 --> 0:21:24.440
<v Speaker 1>just a four day workweek. Let's ask Nobel Prize winning

0:21:24.480 --> 0:21:28.160
<v Speaker 1>labor economists. Sir Christopher Pisorealis is with US recently said

0:21:28.200 --> 0:21:31.879
<v Speaker 1>that the labor market could adapt quickly enough your work

0:21:31.920 --> 0:21:34.960
<v Speaker 1>has been so thoughtful about automation, the impact of technology

0:21:35.000 --> 0:21:37.639
<v Speaker 1>on the way in which we can be productive. Do

0:21:37.640 --> 0:21:39.560
<v Speaker 1>you think we'd really get to a four day work week?

0:21:40.600 --> 0:21:43.080
<v Speaker 1>I think so, yeah, I think it's feasible. I mean,

0:21:43.160 --> 0:21:45.280
<v Speaker 1>let me put it that way. If you see the

0:21:46.480 --> 0:21:50.680
<v Speaker 1>skills or the componenses that companies are demanding now they're

0:21:50.720 --> 0:21:54.520
<v Speaker 1>mostly demanding, it's basically down to data processing. Data is

0:21:54.520 --> 0:21:57.920
<v Speaker 1>the big resource that companies have now, it's data processing.

0:21:57.920 --> 0:22:03.399
<v Speaker 1>It's communication of that process. Seem to both subordinates and

0:22:04.560 --> 0:22:08.600
<v Speaker 1>light managers. Now when you get it technology that chatter

0:22:08.960 --> 0:22:13.760
<v Speaker 1>GPT or other language, well, you basically have the analysis

0:22:13.800 --> 0:22:16.480
<v Speaker 1>of that day right in front of you ready, much

0:22:16.520 --> 0:22:19.240
<v Speaker 1>faster than you must can do it. Well, that's what

0:22:19.280 --> 0:22:24.919
<v Speaker 1>we mean by higher productivity, and Professor, get the machinery

0:22:24.960 --> 0:22:28.240
<v Speaker 1>to do it. Then obviously then we have spare time

0:22:28.320 --> 0:22:31.480
<v Speaker 1>ourselves and we have your money because we are more productive.

0:22:31.520 --> 0:22:35.399
<v Speaker 1>At the same time, Professor Pusaridis, we asked our audience

0:22:35.440 --> 0:22:39.280
<v Speaker 1>if they share your optimism on the impact of generative

0:22:39.280 --> 0:22:42.040
<v Speaker 1>AI and a four day work week. This is what

0:22:42.080 --> 0:22:45.280
<v Speaker 1>they had to say. The results fifty two percent of

0:22:45.320 --> 0:22:47.840
<v Speaker 1>respondents fifty three percent saying that a four day work

0:22:47.840 --> 0:22:52.040
<v Speaker 1>week is coming soon because of generative AI. Twenty nine

0:22:52.080 --> 0:22:55.680
<v Speaker 1>percent of them said, not in our lifetime. What is

0:22:55.720 --> 0:22:58.120
<v Speaker 1>the timeline that you see. Is this a decade out

0:22:58.320 --> 0:23:01.760
<v Speaker 1>from being true? I would think so, I would place

0:23:01.840 --> 0:23:04.840
<v Speaker 1>it at a decade. Yeah, I was thinking twenty thirty maybe,

0:23:05.080 --> 0:23:08.760
<v Speaker 1>But these things are usually slower, And actually, if I

0:23:08.840 --> 0:23:11.320
<v Speaker 1>were to recommend it, to advise someone about it, I

0:23:11.320 --> 0:23:14.399
<v Speaker 1>would advise to be slower because it is going to

0:23:14.840 --> 0:23:18.400
<v Speaker 1>require some readjustments of the things we're doing. I mean,

0:23:18.440 --> 0:23:22.560
<v Speaker 1>not least about families, schooling, education, you know, I mean,

0:23:22.760 --> 0:23:25.600
<v Speaker 1>we might have full day week in the labor market,

0:23:25.680 --> 0:23:28.080
<v Speaker 1>but you do have to take into account and what

0:23:28.200 --> 0:23:30.320
<v Speaker 1>happens with schools, for example, do they also have a

0:23:30.359 --> 0:23:35.240
<v Speaker 1>full day week? What happens with public services, what happens

0:23:35.240 --> 0:23:37.240
<v Speaker 1>with the people who will work there? You know, it's

0:23:36.840 --> 0:23:42.480
<v Speaker 1>it's it's it's a complicated union. It's feasible and if

0:23:42.520 --> 0:23:44.800
<v Speaker 1>there is will you're going to find a way. Well,

0:23:44.800 --> 0:23:46.959
<v Speaker 1>you want your Nobel Prize from work on the impact

0:23:46.960 --> 0:23:50.320
<v Speaker 1>of regulation on policy on the labor market. So is

0:23:50.320 --> 0:23:52.359
<v Speaker 1>it regulation and policy that needs to sort of be

0:23:52.920 --> 0:23:57.000
<v Speaker 1>the car that leads a horse there? Yes, they keep

0:23:57.040 --> 0:24:01.359
<v Speaker 1>problem with the combination of good regulation so it doesn't

0:24:01.359 --> 0:24:04.119
<v Speaker 1>stifle the labor market, which is basically what I studied

0:24:04.200 --> 0:24:07.639
<v Speaker 1>from my Noble winning work work which will call frictions

0:24:07.720 --> 0:24:11.639
<v Speaker 1>and at the same time making sure that it allows

0:24:11.760 --> 0:24:17.240
<v Speaker 1>enough flexibility to the people to show their individual individual

0:24:17.359 --> 0:24:19.840
<v Speaker 1>talents in the labor market, you know, to sort of

0:24:19.880 --> 0:24:21.880
<v Speaker 1>unleash that talent if you like, and do the things

0:24:21.920 --> 0:24:25.639
<v Speaker 1>they are doing best, which my work I call matching

0:24:25.720 --> 0:24:30.600
<v Speaker 1>and the equality of matching. So essentially the way that

0:24:30.680 --> 0:24:33.840
<v Speaker 1>the labor market will work in the best way is

0:24:33.880 --> 0:24:38.719
<v Speaker 1>to improve the match between the worker and the capital

0:24:38.880 --> 0:24:43.240
<v Speaker 1>equipment that that worker has, and I would include computers

0:24:43.240 --> 0:24:46.040
<v Speaker 1>and software as the capital equipment that the worker has,

0:24:46.640 --> 0:24:49.880
<v Speaker 1>and at the same time make sure that sufficiently well

0:24:50.000 --> 0:24:56.240
<v Speaker 1>regulated that it doesn't lead to fraud to abuse of

0:24:56.320 --> 0:24:59.679
<v Speaker 1>the technology. As I mentioned before, you know, these technologies

0:24:59.680 --> 0:25:03.480
<v Speaker 1>are very they're very difficult to monitor. Yeah, and they

0:25:03.480 --> 0:25:05.800
<v Speaker 1>are open to abuse, and we need to work very

0:25:05.840 --> 0:25:09.399
<v Speaker 1>hard to think how to avoid that. Circristopher to that point,

0:25:09.640 --> 0:25:11.680
<v Speaker 1>I mean, you let enough field funded review of the

0:25:11.720 --> 0:25:15.119
<v Speaker 1>effects of automation on jobs, and a lot of the

0:25:15.160 --> 0:25:19.160
<v Speaker 1>time there is a pushback from individuals from unions, from

0:25:19.200 --> 0:25:21.800
<v Speaker 1>a nervousness of what it means for all of us.

0:25:21.840 --> 0:25:23.560
<v Speaker 1>We see it in school children at the moment. We

0:25:23.600 --> 0:25:26.320
<v Speaker 1>see it in people coming through university, people terrified of

0:25:26.400 --> 0:25:30.440
<v Speaker 1>what generative AI really means for their skill set. How

0:25:30.480 --> 0:25:32.639
<v Speaker 1>important is it to win hearts and minds and make

0:25:32.680 --> 0:25:35.880
<v Speaker 1>sure that everyone feels that this actually builds on their skills,

0:25:35.960 --> 0:25:39.680
<v Speaker 1>not detracts on them or put them out of work. Exactly,

0:25:39.680 --> 0:25:42.280
<v Speaker 1>we need to train people, We need to give better

0:25:42.320 --> 0:25:47.000
<v Speaker 1>information and show that it doesn't require that much upskilling

0:25:47.480 --> 0:25:51.720
<v Speaker 1>to ensure that you can have a good job. Unfortunately,

0:25:51.760 --> 0:25:55.639
<v Speaker 1>that comes from two different directions the way I see it.

0:25:56.080 --> 0:25:58.600
<v Speaker 1>One of them is that is that people have naturally

0:25:59.040 --> 0:26:01.720
<v Speaker 1>conservative in if we had changed, you know, if they're

0:26:01.760 --> 0:26:06.280
<v Speaker 1>setting their ways, we're okay, you know what's all these

0:26:06.359 --> 0:26:08.520
<v Speaker 1>new technologies they are going to disrupt us. They're going

0:26:08.520 --> 0:26:12.600
<v Speaker 1>to make us change. That's the way that unions, for example,

0:26:12.720 --> 0:26:14.919
<v Speaker 1>especially in Europe, actually that's the way they look at it.

0:26:15.400 --> 0:26:19.800
<v Speaker 1>They try. Now now we have to we have to

0:26:19.920 --> 0:26:22.520
<v Speaker 1>educate them somehows when we say we have it is

0:26:22.520 --> 0:26:25.840
<v Speaker 1>not really so much to get academics like myself, but

0:26:25.920 --> 0:26:33.080
<v Speaker 1>also the relevant government departments, employers, associations. But throughout modern history,

0:26:33.760 --> 0:26:37.040
<v Speaker 1>technologies has changed our lives and has changed for the better.

0:26:37.440 --> 0:26:40.040
<v Speaker 1>I mean, just think if we resisted electricity, for example,

0:26:40.160 --> 0:26:43.640
<v Speaker 1>now where we will be. You know, it's we had

0:26:43.680 --> 0:26:46.359
<v Speaker 1>so many you know, if we if we resisted, we

0:26:46.400 --> 0:26:51.040
<v Speaker 1>will have all those appliances in our homes to that

0:26:51.640 --> 0:26:54.920
<v Speaker 1>have made life so much easier. So that's one. That's

0:26:55.000 --> 0:26:59.480
<v Speaker 1>one direction that is coming. The other one is that

0:27:00.720 --> 0:27:03.919
<v Speaker 1>a lot of work you read now and what you

0:27:04.040 --> 0:27:06.840
<v Speaker 1>hear about new technologies, it's about how many jobs would

0:27:06.840 --> 0:27:11.720
<v Speaker 1>be lost, exactly three hundred medium jobs. But they never

0:27:11.720 --> 0:27:13.640
<v Speaker 1>talk about how many jobs are going to be created.

0:27:14.119 --> 0:27:18.320
<v Speaker 1>Because Professor pissardes that this is the human tension in

0:27:18.359 --> 0:27:23.480
<v Speaker 1>the story, Right, will my job be eliminated by artificial

0:27:23.480 --> 0:27:28.480
<v Speaker 1>intelligence tools? Are there specific sectors, specific areas of the

0:27:28.480 --> 0:27:31.960
<v Speaker 1>technology industry where you think, yeah, generative AI is just

0:27:32.560 --> 0:27:36.679
<v Speaker 1>it's just going to eliminate the need for a certain role. Oh,

0:27:36.760 --> 0:27:39.040
<v Speaker 1>you can't think of plenty of those, you know. I mean,

0:27:39.119 --> 0:27:43.240
<v Speaker 1>take legal assistance. What is a legal assistant? The job

0:27:43.280 --> 0:27:44.920
<v Speaker 1>may have gone already. If it hasn't gone, an will

0:27:44.960 --> 0:27:47.919
<v Speaker 1>go already. You basically have a lawyer who needs an

0:27:47.960 --> 0:27:52.200
<v Speaker 1>assistant to go through all previous court cases, through all

0:27:52.280 --> 0:27:55.359
<v Speaker 1>those legal books, through all those arpheads to find all

0:27:55.400 --> 0:27:59.680
<v Speaker 1>the information is relevant to your case. Now, just as

0:28:00.080 --> 0:28:04.840
<v Speaker 1>up chatter GPT tell me about sagic case, what do

0:28:04.880 --> 0:28:07.639
<v Speaker 1>we know? And you get your four pages with all

0:28:07.680 --> 0:28:10.359
<v Speaker 1>the information that you're a legal assistant will have got

0:28:10.359 --> 0:28:17.240
<v Speaker 1>working seven for several days. You know, there are jobs

0:28:17.240 --> 0:28:21.680
<v Speaker 1>that we've disappeared. But those those people, they are educated,

0:28:21.720 --> 0:28:24.800
<v Speaker 1>they are highly people that can be more creative than

0:28:26.160 --> 0:28:28.800
<v Speaker 1>our coad rooms going through pages and pages of script.

0:28:30.600 --> 0:28:33.520
<v Speaker 1>So Christopher, Caroline and I have played with many of

0:28:33.520 --> 0:28:38.280
<v Speaker 1>these generative AI tools. We've experimented using them for scripts

0:28:38.320 --> 0:28:40.840
<v Speaker 1>in television news. I think both of us are relatively

0:28:40.840 --> 0:28:43.200
<v Speaker 1>confident we won't be out of the job, at least

0:28:43.200 --> 0:28:46.640
<v Speaker 1>in twenty twenty three. What other areas of the economy

0:28:46.760 --> 0:28:51.360
<v Speaker 1>is productivity unlocked? Forget about replacing jobs. How does this

0:28:51.440 --> 0:28:56.680
<v Speaker 1>make money for global economy? Is really quick? Okay? Number

0:28:56.760 --> 0:29:01.400
<v Speaker 1>one data processing. If we use these technologies to generate

0:29:01.480 --> 0:29:05.360
<v Speaker 1>more data, then they're all businesses with benefit from knowing

0:29:05.440 --> 0:29:08.840
<v Speaker 1>more about their customer. You know the famous KYC No,

0:29:08.960 --> 0:29:13.040
<v Speaker 1>you're a customer, We can get better information, and if

0:29:13.080 --> 0:29:17.160
<v Speaker 1>we have better information, we can target our market in

0:29:17.200 --> 0:29:21.800
<v Speaker 1>a much better way, less time, more productive, more money.

0:29:22.320 --> 0:29:24.840
<v Speaker 1>And that's why I'm saying that we're going to have

0:29:24.960 --> 0:29:27.520
<v Speaker 1>enough money that we can go on their fourth day

0:29:27.560 --> 0:29:31.000
<v Speaker 1>week and have an extract on the weekend, which is

0:29:31.080 --> 0:29:33.520
<v Speaker 1>which is wonderful at least what I'm saying. Yeah, it

0:29:33.520 --> 0:29:37.479
<v Speaker 1>will be wonderful to have one next day. Wow, I

0:29:37.520 --> 0:29:39.920
<v Speaker 1>think many people think it would be wonderful. London School

0:29:39.920 --> 0:29:43.840
<v Speaker 1>of Economics Professor Nobel Prize winning economists, Sir Christopher Pissaridis,

0:29:43.880 --> 0:29:46.200
<v Speaker 1>thank you for your time. Now coming up, we're going

0:29:46.240 --> 0:29:48.440
<v Speaker 1>to get the pulse on the VC ecosystem in the

0:29:48.480 --> 0:29:51.600
<v Speaker 1>first quarter of this year with pitchbook lead VC analyst

0:29:51.840 --> 0:29:54.520
<v Speaker 1>Carl Stanford, who's going to break down the firm's latest

0:29:54.560 --> 0:30:23.880
<v Speaker 1>reports and data. That's next. This is blamed Berg time

0:30:23.920 --> 0:30:26.240
<v Speaker 1>for the VC round up. Lot of Mattica is looking

0:30:26.280 --> 0:30:28.800
<v Speaker 1>to raise four hundred and twenty five million euros that's

0:30:28.840 --> 0:30:31.680
<v Speaker 1>four hundred and sixty seven million dollars for a milan

0:30:31.840 --> 0:30:35.400
<v Speaker 1>IPO this year and it's seeking evaluation of around five

0:30:35.480 --> 0:30:39.240
<v Speaker 1>billion dollars including debt. The Italian gambling company backed by

0:30:39.240 --> 0:30:43.880
<v Speaker 1>Apollo operates its Italy's regulated gaming market, is also active

0:30:43.880 --> 0:30:48.479
<v Speaker 1>in online sports, bedding, and slot machine segments. Relativity Space

0:30:48.600 --> 0:30:51.880
<v Speaker 1>plans to abandon future flights of its Terran one rocket,

0:30:52.360 --> 0:30:55.040
<v Speaker 1>less than a month after it first tested the three

0:30:55.160 --> 0:30:58.880
<v Speaker 1>D printed vehicle. The company will instead shift operations towards

0:30:58.920 --> 0:31:02.000
<v Speaker 1>a previously planned larger rocket in hopes of filling a

0:31:02.080 --> 0:31:06.840
<v Speaker 1>growing market need and better competing with industry leader leader

0:31:07.000 --> 0:31:10.840
<v Speaker 1>space X and Bicosal. Venture firm Lux Capital has raised

0:31:10.920 --> 0:31:13.400
<v Speaker 1>one point one five billion dollars in new funds that

0:31:13.480 --> 0:31:16.719
<v Speaker 1>it plans to invest in startups focused on science and

0:31:16.840 --> 0:31:22.000
<v Speaker 1>deep technologies, including biotech and artificial intelligence. It's the largest

0:31:22.000 --> 0:31:24.960
<v Speaker 1>fund to date, and we'll be called Lux Ventures eight,

0:31:25.160 --> 0:31:30.000
<v Speaker 1>taking the firm's total assets under management beyond five billion dollars. Caroline,

0:31:30.600 --> 0:31:32.600
<v Speaker 1>I've got a nice close up of you there, a

0:31:32.640 --> 0:31:36.000
<v Speaker 1>little bit of a technically which of ourselves a little lovely. Meanwhile,

0:31:36.040 --> 0:31:37.680
<v Speaker 1>I mean it's interesting that you talk about a new

0:31:37.680 --> 0:31:40.000
<v Speaker 1>fund coming from Lux Capital, because we're going to talk

0:31:40.000 --> 0:31:42.280
<v Speaker 1>to us now about VC and perhaps how it's been

0:31:42.560 --> 0:31:46.240
<v Speaker 1>stifled of late. Kyle Stamford, Today's VC spotlighters. Here here's

0:31:46.240 --> 0:31:48.320
<v Speaker 1>the lead VC analyst O rout pitch Book, which just

0:31:48.520 --> 0:31:51.200
<v Speaker 1>released its data about the health of the VC ecosystem

0:31:51.240 --> 0:31:53.600
<v Speaker 1>in the first care of twenty twenty three, and health

0:31:53.640 --> 0:31:56.480
<v Speaker 1>being the operative word here, right, How healthy or not

0:31:56.600 --> 0:31:59.800
<v Speaker 1>healthy is it depends which you you are a comparing team.

0:32:00.040 --> 0:32:02.239
<v Speaker 1>Comparing to twenty twenty one, it is not healthy at all.

0:32:02.240 --> 0:32:05.040
<v Speaker 1>Comparing it to any year before that, it's holding up

0:32:05.080 --> 0:32:07.680
<v Speaker 1>a little bit better than what the data might look like. Right.

0:32:08.320 --> 0:32:10.520
<v Speaker 1>Exits are way down five point eight billion dollars in

0:32:10.560 --> 0:32:12.959
<v Speaker 1>exit val you generated, extremely low. That will have impacts

0:32:12.960 --> 0:32:15.600
<v Speaker 1>down the road. Fundraising was also low at eleven point

0:32:15.640 --> 0:32:18.280
<v Speaker 1>seven billion close in Q one. That will have knock

0:32:18.280 --> 0:32:20.840
<v Speaker 1>on effets down the road. But deal count is surprisingly high.

0:32:20.840 --> 0:32:23.400
<v Speaker 1>We're asking me about thirty thirty nine hundred deals closed

0:32:23.480 --> 0:32:26.080
<v Speaker 1>in Q one, which is higher than any quarter before

0:32:26.240 --> 0:32:29.520
<v Speaker 1>twenty twenty one. So okay, and so that deal count,

0:32:29.960 --> 0:32:31.920
<v Speaker 1>where are those checks being written at the moment? I'm

0:32:31.960 --> 0:32:34.600
<v Speaker 1>not talking sect from talking like geography. Is it with

0:32:34.720 --> 0:32:36.360
<v Speaker 1>that home in New York but you'll usually on the

0:32:36.360 --> 0:32:38.440
<v Speaker 1>West coast? How does it break down from an America

0:32:38.520 --> 0:32:41.040
<v Speaker 1>and global perspective? Sure, we're still seeing about you know,

0:32:41.080 --> 0:32:42.880
<v Speaker 1>fifty percent of the deal count in the US is

0:32:42.880 --> 0:32:45.600
<v Speaker 1>happening in San Francisco, New York, Boston, or LA. Those

0:32:45.600 --> 0:32:48.080
<v Speaker 1>are by far the four largest markets, and San Francisco

0:32:48.120 --> 0:32:49.760
<v Speaker 1>has dropped a little bit. Only about eighteen and a

0:32:49.760 --> 0:32:52.280
<v Speaker 1>half percent of the deals were completed in San Francisco,

0:32:52.760 --> 0:32:55.280
<v Speaker 1>which had been above twenty percent every year until now.

0:32:55.280 --> 0:32:56.760
<v Speaker 1>So I think it's three quarters in the road there.

0:32:57.200 --> 0:33:00.480
<v Speaker 1>But venture is getting much more diversified in the US.

0:33:00.600 --> 0:33:02.960
<v Speaker 1>Right We've had four thousand funds closed in the past

0:33:03.040 --> 0:33:05.840
<v Speaker 1>four years. Those are in the Midwest, They're in Miami,

0:33:05.840 --> 0:33:07.960
<v Speaker 1>they're in Awesome, They're kind of everywhere rather than just

0:33:08.040 --> 0:33:11.560
<v Speaker 1>being siloed into San Francisco and New York. Kyle, there

0:33:11.560 --> 0:33:15.680
<v Speaker 1>are so many dichotomies and contradictions right now. On a

0:33:15.760 --> 0:33:18.720
<v Speaker 1>day where Lots Capital comes out and says one point

0:33:18.800 --> 0:33:21.760
<v Speaker 1>one five billion in new funds, largest ever single funds,

0:33:22.040 --> 0:33:24.360
<v Speaker 1>and yet the data shows it's not being deployed. I

0:33:24.440 --> 0:33:28.560
<v Speaker 1>was at startup Grind last night. Everyone is so optimistic

0:33:28.600 --> 0:33:32.640
<v Speaker 1>about early stage precede getting checks written. Why is there

0:33:32.640 --> 0:33:36.280
<v Speaker 1>this contradiction between the backward looking data and the vibe

0:33:36.520 --> 0:33:39.240
<v Speaker 1>right now in this community? Right Well, I think we

0:33:39.240 --> 0:33:40.800
<v Speaker 1>have to go back to those four thousand funds they

0:33:40.800 --> 0:33:42.040
<v Speaker 1>were closed. A lot of those are going to be

0:33:42.080 --> 0:33:44.600
<v Speaker 1>small funds one hundred fifty million under two hundred fifty million,

0:33:44.600 --> 0:33:47.440
<v Speaker 1>which you're going to focus on the early stage. That area.

0:33:47.400 --> 0:33:49.760
<v Speaker 1>The market is also much further away from you know,

0:33:49.840 --> 0:33:51.720
<v Speaker 1>the public volatility that we've seen are the you know,

0:33:51.840 --> 0:33:54.040
<v Speaker 1>the interest rate hikes that are really impacting the late

0:33:54.080 --> 0:33:57.480
<v Speaker 1>stage and venture growth stage. So optimism is coming back

0:33:57.480 --> 0:34:00.280
<v Speaker 1>to seed in early stage. I think this quarter one

0:34:00.400 --> 0:34:02.880
<v Speaker 1>was the highest medium valuation at seed that we've ever

0:34:02.920 --> 0:34:05.480
<v Speaker 1>seen our data at thirteen million dollars, which is, you know,

0:34:05.520 --> 0:34:08.080
<v Speaker 1>extremely high and you know, double what we're seeing even

0:34:08.120 --> 0:34:10.680
<v Speaker 1>three years ago. So there is optimistic at the early stage,

0:34:10.760 --> 0:34:13.360
<v Speaker 1>especially because it's so far away from kind of the

0:34:13.440 --> 0:34:15.480
<v Speaker 1>public market in the problems that we're seeing at the

0:34:15.520 --> 0:34:20.040
<v Speaker 1>late stage. Kyle, you seem like a glass half full

0:34:20.160 --> 0:34:23.160
<v Speaker 1>kind of guy. Let's go to the world of crypto

0:34:23.280 --> 0:34:27.040
<v Speaker 1>and talk about your report. In the plunge in funding

0:34:27.160 --> 0:34:30.360
<v Speaker 1>back to sort of twenty twenty or pre twenty twenty levels,

0:34:30.360 --> 0:34:33.320
<v Speaker 1>what's happening in that sector. Well, again, I think, you know,

0:34:33.360 --> 0:34:37.120
<v Speaker 1>crypto was the you know industry of this of the

0:34:37.160 --> 0:34:40.080
<v Speaker 1>market two years ago, right, everything was happening through crypto.

0:34:40.120 --> 0:34:42.040
<v Speaker 1>It was Web three, it was blockchain, it was everything

0:34:42.400 --> 0:34:44.680
<v Speaker 1>that has now switched shifted over to AI. If you're

0:34:44.680 --> 0:34:47.400
<v Speaker 1>an AI startup and you have you know, a novel

0:34:47.920 --> 0:34:50.480
<v Speaker 1>use of the technology for general AI or some other

0:34:50.800 --> 0:34:53.440
<v Speaker 1>like I AI technology that can increase the efficiency of

0:34:53.440 --> 0:34:57.120
<v Speaker 1>these companies, that's where investors have shifted their focus now

0:34:57.280 --> 0:34:59.960
<v Speaker 1>right again, looking for the you know, the emerging technology

0:35:00.120 --> 0:35:02.759
<v Speaker 1>that they can really ride the tail winds on for

0:35:03.040 --> 0:35:06.880
<v Speaker 1>the next few years. Told the Mark Grace, I guess, Caroline,

0:35:06.920 --> 0:35:09.440
<v Speaker 1>my point is that on the ground, there's energy and

0:35:09.520 --> 0:35:12.600
<v Speaker 1>optimism across all these spaces. John Wu earlier was in

0:35:12.640 --> 0:35:15.840
<v Speaker 1>New York for a reason. Right he's having meetings talking

0:35:15.880 --> 0:35:19.879
<v Speaker 1>about a very specific section of the crypto market. I mean,

0:35:19.880 --> 0:35:22.000
<v Speaker 1>what are you hearing out there on the East Coast, Well,

0:35:22.320 --> 0:35:24.080
<v Speaker 1>I'm hearing a bat a load of invitations that are

0:35:24.080 --> 0:35:26.120
<v Speaker 1>going around the block at the moment, because it's an

0:35:26.200 --> 0:35:28.880
<v Speaker 1>FT NYC and everyone's got a various event to go,

0:35:29.000 --> 0:35:32.080
<v Speaker 1>and we've still got big VCS companies willing to put

0:35:32.160 --> 0:35:35.040
<v Speaker 1>money on and to work to entertain, to bring people

0:35:35.080 --> 0:35:38.000
<v Speaker 1>together to talk about growth. Cayle what's interesting for me

0:35:38.120 --> 0:35:40.239
<v Speaker 1>and I love your takers, whether you can tell us

0:35:40.239 --> 0:35:43.600
<v Speaker 1>about the pool of capital going towards diverse founders or not.

0:35:43.800 --> 0:35:47.960
<v Speaker 1>Because we know that the NFT space is largely built

0:35:47.960 --> 0:35:51.080
<v Speaker 1>by guys. Are we seeing women people of color managing

0:35:51.080 --> 0:35:54.120
<v Speaker 1>to get checks in this environment? We're still seeing female founders,

0:35:54.160 --> 0:35:56.279
<v Speaker 1>you know, not raised nearly the amount of capital that

0:35:56.320 --> 0:35:57.919
<v Speaker 1>we would like to see, or we'd hope to see

0:35:57.960 --> 0:36:00.600
<v Speaker 1>with all the talk in narrative around you know, getting

0:36:00.640 --> 0:36:02.920
<v Speaker 1>more checks to that, you know, those founders over the

0:36:02.960 --> 0:36:05.640
<v Speaker 1>past few years, but when you kind of zoom out further,

0:36:06.000 --> 0:36:08.319
<v Speaker 1>there is more a lot more money going to those

0:36:08.360 --> 0:36:10.279
<v Speaker 1>founders now than we have seen, you know, ten years ago,

0:36:10.400 --> 0:36:12.600
<v Speaker 1>even five years ago. The past few years, there have

0:36:12.680 --> 0:36:14.800
<v Speaker 1>been you know, quite a few women who have started

0:36:14.840 --> 0:36:18.120
<v Speaker 1>their own funds who are focusing on women founders and

0:36:18.160 --> 0:36:20.880
<v Speaker 1>helping get money to that aa in the market, but

0:36:21.040 --> 0:36:23.600
<v Speaker 1>it just hasn't happened as fast as you know, we

0:36:23.640 --> 0:36:29.640
<v Speaker 1>would hope. I guess what is the prediction, the outlook,

0:36:29.760 --> 0:36:32.920
<v Speaker 1>the forward looking nature of all of this, Kyle, You know,

0:36:32.960 --> 0:36:35.560
<v Speaker 1>there's discussion around a mild recession in the back half

0:36:35.560 --> 0:36:38.680
<v Speaker 1>of this year. How does that manifest itself in private

0:36:38.719 --> 0:36:41.319
<v Speaker 1>markets and for the world of startops. Sure. I mean

0:36:41.360 --> 0:36:43.480
<v Speaker 1>what we're looking at really from that perspective is that

0:36:43.560 --> 0:36:46.799
<v Speaker 1>late stage and venture growth stage of the market. There's

0:36:46.800 --> 0:36:48.800
<v Speaker 1>a huge number of companies there. I think we pulled

0:36:49.840 --> 0:36:52.040
<v Speaker 1>a stat that showed that the number of companies that

0:36:52.080 --> 0:36:54.319
<v Speaker 1>are privately backed at the late stage has grown over

0:36:54.480 --> 0:36:56.640
<v Speaker 1>to has more than doubled in the past five years.

0:36:56.920 --> 0:36:58.879
<v Speaker 1>That's a huge number of companies that need a lot

0:36:58.920 --> 0:37:01.000
<v Speaker 1>of capital, and a lot of that capital that is

0:37:01.040 --> 0:37:03.879
<v Speaker 1>coming from hedge funds, mutual funds, private EU funds. Really

0:37:03.920 --> 0:37:05.800
<v Speaker 1>built up the deal value of the past few years.

0:37:05.880 --> 0:37:08.480
<v Speaker 1>They've gone away, so that area the market without the

0:37:08.520 --> 0:37:11.920
<v Speaker 1>exit opportunities that they really need to release the pressure

0:37:11.920 --> 0:37:16.120
<v Speaker 1>the venture market, they're in for a very struggle struggle

0:37:16.239 --> 0:37:18.960
<v Speaker 1>year or you know, long struggles until that money is

0:37:18.960 --> 0:37:20.880
<v Speaker 1>able to come back and get the money they need

0:37:20.920 --> 0:37:24.360
<v Speaker 1>to grow. Kyle, great to have you in the house

0:37:24.440 --> 0:37:26.640
<v Speaker 1>here in New York. We thank you for it. Carl Stamford,

0:37:26.719 --> 0:37:38.400
<v Speaker 1>lead VC analyst Over at Pitchbook, an Air National guardsman

0:37:38.520 --> 0:37:41.399
<v Speaker 1>is being sought by US agents on the intelligence league

0:37:41.440 --> 0:37:43.319
<v Speaker 1>that according to a person familiar with the matter, who

0:37:43.320 --> 0:37:46.440
<v Speaker 1>says Jack takesi Era is the focus of the Documents League.

0:37:46.440 --> 0:37:49.960
<v Speaker 1>Pro Bloomberg's Amory Horndon joins us now with the details, Amh,

0:37:50.040 --> 0:37:51.440
<v Speaker 1>what do we know, Well, there's just a lot of

0:37:51.440 --> 0:37:54.360
<v Speaker 1>reports right now about this is the individual, as you mentioned,

0:37:54.360 --> 0:37:57.640
<v Speaker 1>twenty one year old National guardsmen. The reports are that

0:37:57.719 --> 0:38:00.880
<v Speaker 1>when these leaks happened, he was stationed at Fort Bragg.

0:38:01.320 --> 0:38:04.040
<v Speaker 1>And there's still a ton of a ton of questions

0:38:04.040 --> 0:38:06.640
<v Speaker 1>though that are out there. One is how and why

0:38:06.680 --> 0:38:10.440
<v Speaker 1>this individual had access to these documents, and the documents

0:38:10.440 --> 0:38:13.239
<v Speaker 1>that were posted on this discord chat at months ago,

0:38:13.320 --> 0:38:17.280
<v Speaker 1>actually they have marks in them, clearly they were folded.

0:38:17.400 --> 0:38:20.680
<v Speaker 1>So how did this individual get access and post these

0:38:20.920 --> 0:38:22.800
<v Speaker 1>documents online is going to be one of the biggest

0:38:22.840 --> 0:38:27.480
<v Speaker 1>questions obviously facing this investigation. And also, of course are

0:38:27.520 --> 0:38:30.239
<v Speaker 1>there any more leaks actually out there, because remember this

0:38:30.320 --> 0:38:33.279
<v Speaker 1>happened months ago and we're only finding out some of

0:38:33.320 --> 0:38:38.200
<v Speaker 1>these stories. And for intelligence officials it's incredibly concerning because

0:38:38.400 --> 0:38:41.280
<v Speaker 1>they're worried that potentially some of these documents have insight

0:38:41.360 --> 0:38:45.520
<v Speaker 1>into how the US gathers intel. Interesting though, earlier this morning,

0:38:45.520 --> 0:38:48.200
<v Speaker 1>as Biden is in Ireland on an international trip, He

0:38:48.280 --> 0:38:51.280
<v Speaker 1>said that they were quote getting close to this individual

0:38:51.320 --> 0:38:53.440
<v Speaker 1>and we could end up with an arrest today, A Marie,

0:38:53.520 --> 0:38:54.799
<v Speaker 1>we need to bring it to us, and of course

0:38:54.840 --> 0:38:56.920
<v Speaker 1>there is a deep technology element to all of this

0:38:57.200 --> 0:38:59.480
<v Speaker 1>and the way it was distributed across Discord. We want

0:38:59.480 --> 0:39:03.320
<v Speaker 1>to thank you for bringing us the latest Bloomberg's Amory Horden. Meanwhile,

0:39:03.480 --> 0:39:07.040
<v Speaker 1>that does it for this edition of Blog Technology. Yeah,

0:39:07.239 --> 0:39:09.000
<v Speaker 1>we have a really key conversation coming up with the

0:39:09.040 --> 0:39:11.960
<v Speaker 1>AWS CEO. I want to get into the detail around

0:39:12.000 --> 0:39:14.600
<v Speaker 1>what generative AI is going to do for Amazon. So

0:39:14.719 --> 0:39:18.400
<v Speaker 1>much to recap four days in almost the weekend, busy

0:39:18.640 --> 0:39:21.200
<v Speaker 1>day markets. Don't forget the podcast. You can get the

0:39:21.200 --> 0:39:25.239
<v Speaker 1>podcast for the show on the terminal, Apple, Spotify, iHeart

0:39:25.280 --> 0:39:30.439
<v Speaker 1>wherever Caroline you get your podcasts. Yeah, big show, big show,

0:39:30.440 --> 0:39:32.440
<v Speaker 1>and more to come with your interview that's coming up

0:39:32.600 --> 0:39:35.400
<v Speaker 1>two pm in New York time. But of course the

0:39:35.440 --> 0:39:37.840
<v Speaker 1>CEO of Amazon Web Services, we can't wait for it.

0:39:37.840 --> 0:39:40.640
<v Speaker 1>We're going to talk much more about generative AI across

0:39:40.719 --> 0:39:42.960
<v Speaker 1>the shows today from New York. This is Bloomberg