WEBVTT - AWS CEO Steps Down and OpenAI Updates Its AI Model

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news from Marhart where Innovation,

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<v Speaker 1>money and power Collie in Silicon Valley, NBN. This is

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<v Speaker 1>Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>I'm Caroline Heinde and Bloomberg's world headquarters in New York,

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<v Speaker 2>and I met Ludlow in San Francisco.

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<v Speaker 3>This is Bloomberg Technology coming up.

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<v Speaker 2>Amazon Web Services CEO Adam Slipski is stepping down from

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<v Speaker 2>the job. Details to come.

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<v Speaker 4>Plus Open Ai unveils its updated AI models as Google

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<v Speaker 4>kicks off It's AI event today for coverage ahead, and we.

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<v Speaker 2>Sit down with the CEO of the buy now, pay

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<v Speaker 2>later firm Klana as a company eyes that long awaited IPO,

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<v Speaker 2>But first set's check in on what's already training on

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<v Speaker 2>these public markets, and maybe a little bit of a

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<v Speaker 2>reprieve in some animal spirits even though we see that

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<v Speaker 2>PPI number that produce a price index coming in hotter

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<v Speaker 2>than anticipated, but you get more granular and maybe there's

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<v Speaker 2>sign of cooling in some of the key areas that

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<v Speaker 2>the FED will be focusing on from inflatory pressures here

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<v Speaker 2>in the US and managing to pull up some four

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<v Speaker 2>tens percent on the Nasdaq, and notably, even though we

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<v Speaker 2>saw an initial knee jerk sell off, we're back to

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<v Speaker 2>rallying on the bond market, particularly at the two year yield.

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<v Speaker 2>I'm also shining light on what's happening on those highly

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<v Speaker 2>shortened names. Basically, what's happening with the likes in gamestoc

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<v Speaker 2>AMC Another extraordinary rally, no fundamental reason, but we go

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<v Speaker 2>a long they particularly high short interest stocks, those that

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<v Speaker 2>are widely beed against by the broader market. We're up

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<v Speaker 2>seven percent on that particular index. Move on, have a

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<v Speaker 2>look at what's happening on the world a Bitcoin. Actually

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<v Speaker 2>no move across or read across from the meme frenzy

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<v Speaker 2>to the crypto frenzy. Today Bitcoin just selling off a

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<v Speaker 2>little bit.

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<v Speaker 3>In fact, we've.

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<v Speaker 2>Heard from some key players within the cryptosphere and thinking

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<v Speaker 2>of Might Novogratz saying, actually, look, we're going to be

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<v Speaker 2>ranged brown from fifty five to seventy five thousand. We're

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<v Speaker 2>currently at six two thousand. Let's call it today, ed,

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<v Speaker 2>what are you watching on the micro.

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<v Speaker 4>There is a lot of technology to fit in today's show.

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<v Speaker 4>Let's go to China and the US listed shares of

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<v Speaker 4>Ali Barbera and Tencent Ali Barbera. The story is low

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<v Speaker 4>single digit growth in e commerce and cloud. There's fighting

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<v Speaker 4>talk about AI and fighting talk about the spending power

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<v Speaker 4>of the Chinese consumer, but those US listed shares are

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<v Speaker 4>lower compare contrast with Tencent. They're seeing a lot of

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<v Speaker 4>ad growth, particularly in video, and we Chat is seeing

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<v Speaker 4>a really big surge in usage. Hour later in the program,

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<v Speaker 4>we'll go to team coverage on those two key China names,

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<v Speaker 4>and you mentioned it Google Io. Later today Alphabet will

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<v Speaker 4>show its hand, we think on its next offerings in

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<v Speaker 4>our official intelligence.

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<v Speaker 3>Let's get to our top story.

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<v Speaker 4>And that is Amazon and Amazon Web Services or AWS,

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<v Speaker 4>the cloud unit of Amazon. The company announcing that Adams

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<v Speaker 4>Lipski is stepping down as CEO of AWS effective June third.

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<v Speaker 4>Matt Garman, who started as an intern and am in

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<v Speaker 4>two thousand and five, was one of the early product

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<v Speaker 4>leaders in AWS, will take over as the CEO. The

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<v Speaker 4>shares are off session lows, but still down around eight

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<v Speaker 4>tens of a percent in this Tuesday session, and the

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<v Speaker 4>market asking questions, well, is this bad for Amazon's cash cow?

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<v Speaker 4>And who on earth is Matt Garman. Let's get out

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<v Speaker 4>to Seattle. Bloomberg's Matt Day joins us, and let's start

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<v Speaker 4>with the news at hand. Why is Adam Zelyipsky stepping

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<v Speaker 4>down as CEO? And should we be worried? I suppose

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<v Speaker 4>about the health of AWS.

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<v Speaker 5>I should listened to Amazon CEO Andy Jase tell it, No,

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<v Speaker 5>we shouldn't be worried, he said. When he recruited Adam Selipski,

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<v Speaker 5>who was his right hand in building the WS business,

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<v Speaker 5>back to Amazon in twenty twenty one, they'd had a conversation, said, listen,

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<v Speaker 5>give me a few years and get the next generation

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<v Speaker 5>of leaders in shape, and then we'll talk later. Andy

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<v Speaker 5>Jesse said, Adam Selipsky is considering other challenges. We don't

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<v Speaker 5>know what those might be. Nobody detailed that in their

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<v Speaker 5>emails to staff today. We just know that he is

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<v Speaker 5>out as of next month.

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<v Speaker 2>Some well and rest with family seems to insinuate before

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<v Speaker 2>he launches onto his next challenge. Memory was CEO of

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<v Speaker 2>Tableau for an interim basis in his long career with Amazon.

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<v Speaker 2>I'm interested, therefore, on who Mac Garmon is as we know,

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<v Speaker 2>like what an MBA intern turns now one of the

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<v Speaker 2>key executives.

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<v Speaker 5>That's right, so Matt Garmon, he's a lifer at Amazon

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<v Speaker 5>joined and two thousand and five, is an intern two

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<v Speaker 5>thousand and six as a full timer and led some

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<v Speaker 5>of their initial services, helped set pricing the first names

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<v Speaker 5>for the products AWS put on the market, and since

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<v Speaker 5>then he's spent most of his time as an engineering leader.

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<v Speaker 5>He was leading one of thems on's most important divisions

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<v Speaker 5>of the sort of computing power for rent group, and

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<v Speaker 5>then back in twenty twenty he found himself running sales

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<v Speaker 5>and marketing, and to a lot of AWS insiders that

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<v Speaker 5>really looked like he was getting set up to succeed

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<v Speaker 5>Andy Jasse, the division's founding CEO. Turns out Andy brought

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<v Speaker 5>back Adam Sleipski instead. But this isn't a surprise anybody

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<v Speaker 5>who's been following either Matt Garman's trajectory or or AWSS.

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<v Speaker 3>The market was a bit worried.

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<v Speaker 4>There was a knee jerk reaction if you ca percentage

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<v Speaker 4>point decline and knee jet reaction. Matt and I guess

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<v Speaker 4>the idea is what happens next for AWS? Because Adams

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<v Speaker 4>Lipski left that still accounting for the majority of operating

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<v Speaker 4>income for the entirety of Amazon, and the new figure

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<v Speaker 4>they're giving us is this run rate of one hundred

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<v Speaker 4>billion dollars of revenue sum up where AWS sits today.

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<v Speaker 3>So ABS is the biggest cloud computing company.

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<v Speaker 5>But that said, they've had a bunch of pressure put

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<v Speaker 5>on them in the last year coming out of the pandemic.

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<v Speaker 5>A lot of their biggest corporate customers were looking to

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<v Speaker 5>cut costs. That dropped ABS's growth down to record lows.

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<v Speaker 5>They've bumped up beyond that, which the market seems to

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<v Speaker 5>like well enough, market likes even more though that they

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<v Speaker 5>have said that artificial intelligence.

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<v Speaker 3>Revenue is starting to materialize.

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<v Speaker 5>Last month they said AWS is on pace for it's

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<v Speaker 5>a couple billion dollar business over the course of a year,

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<v Speaker 5>which's not a particularly detailed number, but for a really,

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<v Speaker 5>really hot corner of technology. It's a sign that Amazon

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<v Speaker 5>is getting momentum after really getting kind of beaten out

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<v Speaker 5>of the gate in terms of generated AAI services in

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<v Speaker 5>the last couple of years. So, you know, AWS still

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<v Speaker 5>Amazon's cash cow, still accounts for, you know, the vast

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<v Speaker 5>majority of their operating profit quarter to quarter, you know,

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<v Speaker 5>but that set it's a business. It's been under pressure

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<v Speaker 5>for for the last couple of years, certainly.

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<v Speaker 2>And MAP is it fair to characterize is it being

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<v Speaker 2>beaten out the gate or is it that it just

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<v Speaker 2>didn't use generative AI and it's lexicon quickly enough from

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<v Speaker 2>your perspective when we're anticipating what Google's about to unveil

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<v Speaker 2>for today, I.

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<v Speaker 3>Think it is certainly a little bit of both.

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<v Speaker 5>I mean, the Amazon's been working on machine learning and

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<v Speaker 5>AI services for years and years, as they will tell

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<v Speaker 5>you. You know, if you go back a couple of years

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<v Speaker 5>to win Open AI releases, you know that the chat

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<v Speaker 5>GPT that shocks the world. You know, Amazon wasn't really

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<v Speaker 5>even talking in the same lexicon at that point. Jenerative

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<v Speaker 5>A I wasn't in the conversation. And then when it

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<v Speaker 5>came to embedding, you know, generative AI products into into

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<v Speaker 5>services already on the market. Microsoft got there real quick,

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<v Speaker 5>Google got there real quick. Amazon, you know, caught up

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<v Speaker 5>and is working to catch up further. I guess, but

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<v Speaker 5>you know, I think it's pretty safe to say that

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<v Speaker 5>at least at the outset, there were a couple of steps.

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<v Speaker 3>Behind that day things.

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<v Speaker 2>Matt Garmon on All Things AWS, we thank you so much.

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<v Speaker 2>We've got to talk about Klana, the buy now, pay

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<v Speaker 2>later firm that well, as we all know, is eyeing

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<v Speaker 2>an IPO and we're wondering at what particular point they're

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<v Speaker 2>going to do. That is at the first quarter of

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<v Speaker 2>next year. That's according to reports right now, this comes

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<v Speaker 2>on the hills. What's been a busy year for IPO

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<v Speaker 2>offerings and also a busy year for integrating General to AI,

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<v Speaker 2>which this company is doing. I please say that Sebastian

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<v Speaker 2>see Murkowski is with us, is a clan a CEO,

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<v Speaker 2>and I want to start on what all investors are

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<v Speaker 2>so interested in is the fact that you are eyeing

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<v Speaker 2>the public markets.

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<v Speaker 6>We're hearing as.

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<v Speaker 2>Soon as Q one how much more Tea's crossing. I's

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<v Speaker 2>donning you having to be doing at the moment.

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<v Speaker 7>I've heard that rumor as well, said, well, you know,

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<v Speaker 7>it's an interesting rumor. I but I think for US

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<v Speaker 7>it's always been like really critical. We wanted to establish

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<v Speaker 7>ourselves as a global business. That meant success in the

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<v Speaker 7>US meant both in awareness and in profitability. And now

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<v Speaker 7>with almost forty million users in the US and it

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<v Speaker 7>being a profitable and actually our largest market by revenue,

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<v Speaker 7>those kind of criteria has been met, so we're definitely ready.

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<v Speaker 2>You'd been doing interesting partnerships with eber, You've been launching

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<v Speaker 2>a wait list for a credit card. We'll get into

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<v Speaker 2>those products in a moment. But when you say it's

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<v Speaker 2>an interesting rumor, could you go earlier than Q.

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<v Speaker 7>One, Everything's possible, okay, ed.

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<v Speaker 8>It?

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<v Speaker 3>So, actually, good morning to you.

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<v Speaker 4>Let's think about them where you might list in the

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<v Speaker 4>context of your business. You've grown thirty two percent in

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<v Speaker 4>this country over the last year.

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<v Speaker 3>Why is that? Why are you seeing strength in the

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<v Speaker 3>US market?

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<v Speaker 7>Well, I think that what's interesting Actually it comes back

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<v Speaker 7>to an interesting McKinsey study from fifteen and it showed

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<v Speaker 7>that in this market there is a growing number of

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<v Speaker 7>consumers that are very tired of the credit cards and

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<v Speaker 7>how credit cards work. There's a great Netflix documentary call

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<v Speaker 7>Credit Cards Explain. You will see all the bad practices

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<v Speaker 7>that banks have accumulated over the years to push people

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<v Speaker 7>into debt, to revolve to build up as big balances

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<v Speaker 7>as possible. And these group is self aware. A voiders

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<v Speaker 7>people that are looking for simple credit products, zero interest,

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<v Speaker 7>fixed installment. They're about twenty percent of the US population

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<v Speaker 7>and buy now, pay later speaks directly to this audience,

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<v Speaker 7>and I think that is the most important explanation for

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<v Speaker 7>the success in the US Sebastia.

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<v Speaker 4>Later in the program, we're going to talk a lot

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<v Speaker 4>about Ali Barber's earnings, and I know that that China

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<v Speaker 4>is not something that's supper mined for you.

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<v Speaker 3>But bear with me.

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<v Speaker 4>They talked about the consumer in China having a lot

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<v Speaker 4>of cash, a lot of savings, but sentimentally they're not

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<v Speaker 4>prepared to spend. It's a really psychological market. Now, compare

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<v Speaker 4>and contrast that with the United States. A lot of

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<v Speaker 4>people I hear from are talking about credit card use

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<v Speaker 4>and credit card levels, but psychologically the US consumer seems

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<v Speaker 4>prepared to spend. What do you make of all that?

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<v Speaker 4>What do you see through your platform?

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<v Speaker 3>Exactly that right.

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<v Speaker 1>I was actually a little bit worried.

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<v Speaker 7>Around Christmas when I saw the Christmas cells. I felt

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<v Speaker 7>that Christmas Cells this year was a little bit discount driven,

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<v Speaker 7>and I wasn't clear to how much was merchants kind

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<v Speaker 7>of trying to offload stock do through discount and how

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<v Speaker 7>much was consumer strength, so to speak. But I think

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<v Speaker 7>now with a few moments in the bag, you see

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<v Speaker 7>that like consumers spending in the US is holding up

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<v Speaker 7>quite well, and there is there is that demand. So

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<v Speaker 7>we're seeing that across all categories that we cover, and

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<v Speaker 7>as much as we're associated with kind of fashions so forth,

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<v Speaker 7>like with being live with Uber, with Airbnb, with a

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<v Speaker 7>lot of other big American brands, we can see that.

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<v Speaker 1>Across the board.

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<v Speaker 2>What's so interesting is you have been building up a

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<v Speaker 2>focus here in the US and you have got this

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<v Speaker 2>weight list for a credit card, but you meant to

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<v Speaker 2>be the anti credit card company. I thought this whole

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<v Speaker 2>idea that the spiraling debt that mounts there, how are

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<v Speaker 2>you doing it differently?

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<v Speaker 3>Why do that differently?

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<v Speaker 7>Well, I think that, Like the interesting thing is that

0:10:50.160 --> 0:10:52.360
<v Speaker 7>to me, the card is just a delivery mechanism. It

0:10:52.360 --> 0:10:54.760
<v Speaker 7>allows the consumers to use Klana everywhere, as opposed to

0:10:54.840 --> 0:10:57.160
<v Speaker 7>only the places where merchants have integrated US. And even

0:10:57.200 --> 0:10:59.000
<v Speaker 7>if we cover forty of the top one hundred US

0:10:59.000 --> 0:11:00.880
<v Speaker 7>retailers online today, we still want to.

0:11:00.840 --> 0:11:01.920
<v Speaker 1>Make it available everywhere.

0:11:01.960 --> 0:11:04.560
<v Speaker 7>Right, But I think the key difference versus the credit

0:11:04.559 --> 0:11:06.520
<v Speaker 7>card is how you use it now. When I used

0:11:06.520 --> 0:11:08.920
<v Speaker 7>to work at Burkeying back in the days when you

0:11:08.920 --> 0:11:11.000
<v Speaker 7>would swipe a card you would press one for debit

0:11:11.040 --> 0:11:13.080
<v Speaker 7>and two for credit, because it made a lot of

0:11:13.120 --> 0:11:16.000
<v Speaker 7>sense that you didn't use credit for every purchase, but

0:11:16.280 --> 0:11:18.720
<v Speaker 7>the banks abandoned that because they wanted you to build

0:11:18.800 --> 0:11:21.440
<v Speaker 7>up your monthly statement to be as big as possible,

0:11:21.480 --> 0:11:23.480
<v Speaker 7>to put everything on it. So it increases the likely

0:11:23.520 --> 0:11:27.079
<v Speaker 7>to view lending and borrowing money and kind of increasing

0:11:27.120 --> 0:11:28.880
<v Speaker 7>the revolver and right like, you have to remember, a

0:11:28.880 --> 0:11:32.600
<v Speaker 7>credit card balance is usually five five hundred dollars on average,

0:11:32.720 --> 0:11:35.959
<v Speaker 7>with KLON it's one hundred and fifty dollars. So to us,

0:11:36.200 --> 0:11:39.160
<v Speaker 7>the ability to always have the option between debiting credit

0:11:39.240 --> 0:11:41.720
<v Speaker 7>is fundamental. That's one of the key things that will

0:11:41.760 --> 0:11:45.800
<v Speaker 7>provide a healthier, responsible usage of credit. And in addition

0:11:45.840 --> 0:11:48.600
<v Speaker 7>to that having zero interest and fixed installments. So those

0:11:48.640 --> 0:11:50.719
<v Speaker 7>are the primary concepts, and we can bring them through

0:11:50.760 --> 0:11:53.640
<v Speaker 7>a card, we can bring them through offering them directly

0:11:53.679 --> 0:11:55.360
<v Speaker 7>on the merchant to website or in the.

0:11:55.320 --> 0:11:58.360
<v Speaker 2>Sort and it's heart you're doing things differently by being

0:11:58.840 --> 0:12:01.720
<v Speaker 2>tech driven. A lot of credit card companies are now

0:12:01.760 --> 0:12:04.280
<v Speaker 2>pretty tech driven as well. I want to focus in

0:12:04.320 --> 0:12:07.200
<v Speaker 2>on the genera of AI side, because you caught a

0:12:07.240 --> 0:12:09.960
<v Speaker 2>lot of headlines by the fact that you said, look, now,

0:12:10.200 --> 0:12:12.760
<v Speaker 2>general to AI within our customer services is doing the

0:12:12.840 --> 0:12:15.959
<v Speaker 2>job of seven hundred people. Is it still seven hundred?

0:12:16.080 --> 0:12:16.760
<v Speaker 3>Is it more than that?

0:12:17.120 --> 0:12:20.000
<v Speaker 7>It's probably slightly more by now. I think the reason

0:12:20.000 --> 0:12:22.040
<v Speaker 7>we share we knew that number would kind of catch

0:12:22.080 --> 0:12:25.080
<v Speaker 7>the attention. But it's partially because I feel there's a

0:12:25.080 --> 0:12:27.280
<v Speaker 7>lot of buzz around AI and there is, you know,

0:12:27.320 --> 0:12:29.200
<v Speaker 7>a lot of things demos being announced, and you were

0:12:29.200 --> 0:12:31.880
<v Speaker 7>talking about you know, Google today announcing something, but there

0:12:31.880 --> 0:12:34.559
<v Speaker 7>are few things that are practically there, and a lot

0:12:34.600 --> 0:12:36.840
<v Speaker 7>of business leaders are asking themselves like, where is the

0:12:36.880 --> 0:12:39.680
<v Speaker 7>actual implications on my business? And this was the first

0:12:39.679 --> 0:12:41.679
<v Speaker 7>time we at least felt like, look, here's a practical

0:12:41.720 --> 0:12:45.080
<v Speaker 7>application that isn't like just as small. It's real life

0:12:45.240 --> 0:12:48.600
<v Speaker 7>consumers prefer it because it's actually higher customer satisfaction than

0:12:48.600 --> 0:12:52.040
<v Speaker 7>the human agent, it's faster to use, its higher quality,

0:12:52.400 --> 0:12:55.400
<v Speaker 7>and it's having profound impact. But we also believe that

0:12:55.520 --> 0:12:58.320
<v Speaker 7>society and politicians needs to recognize that this is not

0:12:58.440 --> 0:13:03.160
<v Speaker 7>something that's going toge in ten years. The implications for

0:13:03.320 --> 0:13:05.240
<v Speaker 7>society are going to come in the coming years, and

0:13:05.280 --> 0:13:07.480
<v Speaker 7>it's time to think a little bit proactively about what

0:13:07.559 --> 0:13:09.360
<v Speaker 7>measures could be taken as a consequence.

0:13:10.280 --> 0:13:10.839
<v Speaker 3>Sebastian.

0:13:10.880 --> 0:13:14.079
<v Speaker 4>Exactly one month ago, we had the European Commissioner for

0:13:14.200 --> 0:13:18.160
<v Speaker 4>Financial Services McGuinness visit US here in San Francisco, and

0:13:18.200 --> 0:13:25.199
<v Speaker 4>we talked about fintech regulation. Essentially, you operate in both markets,

0:13:26.320 --> 0:13:29.120
<v Speaker 4>which do you find to be more friendly of the

0:13:29.160 --> 0:13:32.360
<v Speaker 4>regulators between the United States and Europe.

0:13:32.440 --> 0:13:36.199
<v Speaker 7>Well, I think amazingly, the EU introduced some legislation back

0:13:36.240 --> 0:13:38.360
<v Speaker 7>in four or five that meant that we, who are

0:13:38.400 --> 0:13:41.800
<v Speaker 7>a fully regulated bank in Sweden, can password that license

0:13:41.800 --> 0:13:45.959
<v Speaker 7>across all European states, and that is a tremendous advantage,

0:13:46.080 --> 0:13:50.200
<v Speaker 7>and to some degree it's actually easier even to operate

0:13:50.200 --> 0:13:52.800
<v Speaker 7>than across all of the US states, where there's bigger

0:13:52.800 --> 0:13:56.400
<v Speaker 7>differences on consumer credit lending in different US states than

0:13:56.400 --> 0:13:59.200
<v Speaker 7>there is among the European nations to some degree. So

0:13:59.240 --> 0:14:01.760
<v Speaker 7>it's actually, i would say fairly even a little bit

0:14:01.800 --> 0:14:07.079
<v Speaker 7>sometimes at the intanges to be in Europe. But we

0:14:07.200 --> 0:14:11.160
<v Speaker 7>definitely think that there is more competition, openness, and willingness

0:14:11.240 --> 0:14:14.480
<v Speaker 7>to promote competition in the American society than in the

0:14:14.480 --> 0:14:16.920
<v Speaker 7>European Union, and so I think that's very favorable in

0:14:17.720 --> 0:14:19.880
<v Speaker 7>American context.

0:14:20.040 --> 0:14:23.960
<v Speaker 4>Especially when you do go public, investors will be very

0:14:23.960 --> 0:14:26.880
<v Speaker 4>focused on profit. Could you speak a little bit about

0:14:26.880 --> 0:14:27.400
<v Speaker 4>your profit?

0:14:28.600 --> 0:14:32.440
<v Speaker 7>Of course now, I think look from my perspective, I

0:14:32.480 --> 0:14:34.840
<v Speaker 7>hope we will be able to deliver some very interesting

0:14:36.280 --> 0:14:39.160
<v Speaker 7>perspectives when we are ready for that, because we are

0:14:39.160 --> 0:14:43.400
<v Speaker 7>seeing a very strong growth currently within Klana. You know,

0:14:43.440 --> 0:14:47.120
<v Speaker 7>we are definitely about two billion dollars of revenue. We're

0:14:47.960 --> 0:14:51.400
<v Speaker 7>seeing very high volume growth at the same point of time.

0:14:51.600 --> 0:14:56.440
<v Speaker 7>Due to the implications of AI. Since September October, we

0:14:56.520 --> 0:15:00.280
<v Speaker 7>have stopped recruitment and in our case, with normal trition

0:15:00.400 --> 0:15:02.480
<v Speaker 7>rates that most tech companies have where people stay about

0:15:02.480 --> 0:15:07.040
<v Speaker 7>five years, this means that we are actually shrinking in

0:15:07.160 --> 0:15:09.560
<v Speaker 7>number of employees by about twenty percent per year.

0:15:10.560 --> 0:15:12.080
<v Speaker 3>So we hope that by the time.

0:15:11.960 --> 0:15:13.440
<v Speaker 7>We kind of get through that perspective, we're going to

0:15:13.440 --> 0:15:16.000
<v Speaker 7>be able to present something that looks like revenue growth

0:15:16.400 --> 0:15:19.120
<v Speaker 7>wild costs actually diminishing at the same point of time.

0:15:20.720 --> 0:15:22.960
<v Speaker 2>Sebastian, it's been great having some time with you. Thank

0:15:23.000 --> 0:15:25.960
<v Speaker 2>you for coming on and like how you've been navigating

0:15:26.000 --> 0:15:28.520
<v Speaker 2>some of the timing questions with us. Sebastian Si mccowski.

0:15:28.560 --> 0:15:30.760
<v Speaker 2>He's a Klana CEO and what for got coming up

0:15:30.760 --> 0:15:31.200
<v Speaker 2>more in AI.

0:15:31.240 --> 0:15:33.640
<v Speaker 3>I think, yeah, more on AI. I really enjoyed that.

0:15:33.680 --> 0:15:37.080
<v Speaker 4>By the way, open ai unveils its updated chat model

0:15:37.360 --> 0:15:40.240
<v Speaker 4>as Google kicks off it's AI event today. We've got

0:15:40.240 --> 0:15:42.800
<v Speaker 4>really important discussions coming out next stick with us. This

0:15:42.880 --> 0:15:53.040
<v Speaker 4>is Bloomberg Technology.

0:15:58.680 --> 0:16:02.440
<v Speaker 2>Open Ai sing faster, cheaper versions of the AI model

0:16:02.480 --> 0:16:05.520
<v Speaker 2>that underpins its chatbot chat GPT, and it says the

0:16:05.560 --> 0:16:08.120
<v Speaker 2>startup works to hold on to its seeming lead and

0:16:08.120 --> 0:16:11.200
<v Speaker 2>then an increasingly crowded market joining us. Now on the

0:16:11.200 --> 0:16:14.400
<v Speaker 2>announcements made yesterday, Blue MoG's Rachel Mets and we heard

0:16:14.440 --> 0:16:17.680
<v Speaker 2>in particular from the key executives from Marati as well,

0:16:17.720 --> 0:16:22.760
<v Speaker 2>really outlining well, me, as an unpaying user, it is

0:16:22.800 --> 0:16:24.800
<v Speaker 2>going to get a whole load more for free.

0:16:26.240 --> 0:16:28.280
<v Speaker 9>Yeah, I mean that's a big part of what they

0:16:28.320 --> 0:16:31.880
<v Speaker 9>were announcing is that they are giving people a lot

0:16:31.880 --> 0:16:35.320
<v Speaker 9>of capabilities that until now had been reserved just for

0:16:35.400 --> 0:16:39.160
<v Speaker 9>paying users of GPT for but also overall they're saying

0:16:39.200 --> 0:16:42.680
<v Speaker 9>the model is faster and more efficient at this point.

0:16:42.760 --> 0:16:45.800
<v Speaker 9>And there are also some additional interesting things that they

0:16:45.960 --> 0:16:50.600
<v Speaker 9>rolled out as well, such as some audio capabilities that

0:16:50.640 --> 0:16:54.320
<v Speaker 9>are much faster than what we've seen before. They already

0:16:54.360 --> 0:16:58.360
<v Speaker 9>had the ability to talk to chat GPT via the app.

0:16:58.640 --> 0:17:01.000
<v Speaker 9>I believe that was just for paid users in the past,

0:17:02.160 --> 0:17:06.159
<v Speaker 9>but now you can use that in a much more

0:17:06.200 --> 0:17:09.000
<v Speaker 9>real time way. And it also it's much more capable

0:17:09.040 --> 0:17:10.480
<v Speaker 9>than it appeared to be in the past. That'll be

0:17:10.640 --> 0:17:12.359
<v Speaker 9>rolling out the next in the coming weeks.

0:17:12.359 --> 0:17:16.040
<v Speaker 3>I believe Rachel la zero in on the underlying model.

0:17:16.200 --> 0:17:20.000
<v Speaker 4>GPT for oh is that right, GBT for oh, I

0:17:20.040 --> 0:17:20.600
<v Speaker 4>got it right?

0:17:20.680 --> 0:17:21.479
<v Speaker 3>Look at this chart.

0:17:22.280 --> 0:17:25.919
<v Speaker 4>Yeah, so this this is the its performance against benchmarks, right,

0:17:25.920 --> 0:17:28.359
<v Speaker 4>which everyone does when they release a new model. But

0:17:28.400 --> 0:17:29.960
<v Speaker 4>I guess the main thing that open ai I was

0:17:30.000 --> 0:17:34.479
<v Speaker 4>talking about is that this is dramatically reduced latency in text,

0:17:34.640 --> 0:17:38.240
<v Speaker 4>image and video use cases get nitty gritty and nerdy

0:17:38.280 --> 0:17:39.000
<v Speaker 4>for us.

0:17:40.280 --> 0:17:43.280
<v Speaker 9>So I mean, really, this should just make all kinds

0:17:43.280 --> 0:17:45.720
<v Speaker 9>of things faster that people want to do with the model.

0:17:45.760 --> 0:17:48.560
<v Speaker 9>Make it faster to have it back and forth with it.

0:17:48.560 --> 0:17:51.760
<v Speaker 9>It could make it. It could make it feel more

0:17:51.760 --> 0:17:54.520
<v Speaker 9>life like if you're talking to it and it's talking

0:17:54.560 --> 0:17:57.320
<v Speaker 9>back to you. Analyzing pictures. I mean, what they were

0:17:57.320 --> 0:17:59.280
<v Speaker 9>showing this demo that you've got on the screen is

0:17:59.320 --> 0:18:02.359
<v Speaker 9>showing an open camera view rather than right now, if

0:18:02.400 --> 0:18:05.119
<v Speaker 9>you're using the chat GBT app, you have to like

0:18:05.200 --> 0:18:08.479
<v Speaker 9>take a picture. And in the future they said they

0:18:08.480 --> 0:18:12.040
<v Speaker 9>will be adding the ability to analyze videos as well,

0:18:12.119 --> 0:18:15.080
<v Speaker 9>not just still images. So they're trying to bigger, better,

0:18:15.119 --> 0:18:17.680
<v Speaker 9>faster more with this model and some of it. I

0:18:17.680 --> 0:18:19.400
<v Speaker 9>guess we're just gonna have to wait and see how

0:18:19.400 --> 0:18:20.920
<v Speaker 9>well it works.

0:18:21.200 --> 0:18:24.639
<v Speaker 3>Bloomberg's racial mets terrific reporting. Great to have you on

0:18:24.640 --> 0:18:25.040
<v Speaker 3>the program.

0:18:25.040 --> 0:18:27.520
<v Speaker 4>There is one thing that I open Aye did not

0:18:27.680 --> 0:18:31.800
<v Speaker 4>do or reveal, which was search. And the Google Io

0:18:31.920 --> 0:18:35.920
<v Speaker 4>conference is kicking off in Mountain View. Let's hear about

0:18:35.920 --> 0:18:39.359
<v Speaker 4>how Alphabet ceo is to the pitch, I characterized his

0:18:39.520 --> 0:18:42.120
<v Speaker 4>competition with the CEO of Microsoft.

0:18:42.240 --> 0:18:46.240
<v Speaker 3>Just listen to this, I think you'd one of the

0:18:46.280 --> 0:18:47.120
<v Speaker 3>wa is you can.

0:18:48.880 --> 0:18:52.200
<v Speaker 10>Do the wrong thing is by listening to noiself talent

0:18:52.240 --> 0:18:53.879
<v Speaker 10>playing to someone else's dance music.

0:18:54.119 --> 0:18:56.639
<v Speaker 3>I've always been very clear. I think we have a

0:18:56.680 --> 0:18:58.240
<v Speaker 3>clear sense of what we need to do.

0:19:00.080 --> 0:19:02.159
<v Speaker 4>That was part of the conversation that he had on

0:19:02.200 --> 0:19:03.360
<v Speaker 4>the circuit with Emily Chang.

0:19:03.400 --> 0:19:04.639
<v Speaker 3>He was talking about Microsoft.

0:19:04.920 --> 0:19:07.720
<v Speaker 4>But open Ay has been pretty noisy as well, didn't

0:19:07.880 --> 0:19:11.000
<v Speaker 4>reveal its own search. Let's bringing Bloombergs Jackie Deablos zero

0:19:11.160 --> 0:19:13.920
<v Speaker 4>in on Google Io and Jackie, what are you looking

0:19:13.960 --> 0:19:14.239
<v Speaker 4>out for?

0:19:14.720 --> 0:19:17.280
<v Speaker 8>Well, there's a few things, and as center Bridge I

0:19:17.320 --> 0:19:19.959
<v Speaker 8>mentioned the dancing using it's pretty hard to ignore, especially

0:19:19.960 --> 0:19:22.560
<v Speaker 8>with an announcement like that coming out of Opening Eye yesterday.

0:19:22.600 --> 0:19:25.000
<v Speaker 8>It's really raising the bar for Google. One of the

0:19:25.040 --> 0:19:28.080
<v Speaker 8>things that will be keenly focused on is, of course,

0:19:28.200 --> 0:19:32.840
<v Speaker 8>it's updates to its current flagship Gemini model. We're expecting

0:19:33.240 --> 0:19:36.680
<v Speaker 8>a few more details on just how that model will

0:19:36.720 --> 0:19:40.240
<v Speaker 8>be interspersed throat to threat its most ubiquitous products, think

0:19:40.440 --> 0:19:45.000
<v Speaker 8>Gmail Maps and especially like you mentioned, ed search. It's

0:19:45.040 --> 0:19:48.440
<v Speaker 8>been experimenting with some features, but hasn't rolled anything out

0:19:48.480 --> 0:19:51.359
<v Speaker 8>really broadly yet. We'll get some more color there. And

0:19:51.400 --> 0:19:53.520
<v Speaker 8>of course, you know this isn't just about software. We're

0:19:53.560 --> 0:19:57.440
<v Speaker 8>expecting some updates on it's hardware line, it's tablets, it's smartphones,

0:19:57.640 --> 0:20:02.600
<v Speaker 8>and of course any updates to it Android fifteen operating system.

0:20:03.040 --> 0:20:06.199
<v Speaker 2>I mean, the context with all of this is that

0:20:07.080 --> 0:20:09.919
<v Speaker 2>they seem to be behind the curve, even though for

0:20:10.040 --> 0:20:12.879
<v Speaker 2>many generative AI was only made possible because of the

0:20:12.920 --> 0:20:15.720
<v Speaker 2>research them by Google, but then they managed to rush

0:20:15.720 --> 0:20:18.760
<v Speaker 2>out send products there was a little of concern around

0:20:18.840 --> 0:20:21.600
<v Speaker 2>the image generation in particular with Gemini. How are we

0:20:21.640 --> 0:20:23.800
<v Speaker 2>seeing them try to write size the perception?

0:20:25.720 --> 0:20:29.640
<v Speaker 8>Well, if you said it perfectly, Caroline, they were early pioneers.

0:20:29.720 --> 0:20:32.159
<v Speaker 8>They have some of the best and brightest talent in

0:20:32.280 --> 0:20:36.040
<v Speaker 8>artificial intelligence. But where they really fell behind is really

0:20:36.119 --> 0:20:41.280
<v Speaker 8>kind of creating this bigger, generative AI ecosystem that is

0:20:41.359 --> 0:20:44.480
<v Speaker 8>embedded across its products. It has an advantage in search,

0:20:44.640 --> 0:20:47.800
<v Speaker 8>as we all know, but we've seen Microsoft and Open

0:20:47.840 --> 0:20:51.560
<v Speaker 8>Eye really kind of product make it make its way

0:20:51.560 --> 0:20:55.639
<v Speaker 8>into products much quicker and really commercialize that technology in

0:20:55.680 --> 0:20:59.040
<v Speaker 8>a much more broader way. And so today we're really

0:20:59.080 --> 0:21:02.119
<v Speaker 8>going to be looking to learn how exactly is this

0:21:02.200 --> 0:21:05.040
<v Speaker 8>flowing through across the business, not just kind of one

0:21:05.080 --> 0:21:08.359
<v Speaker 8>off features here and there. It's also unveiling a new

0:21:08.960 --> 0:21:12.000
<v Speaker 8>open source it's a smaller model called Gemma, so it's

0:21:12.040 --> 0:21:14.840
<v Speaker 8>looking to really kind of catch up and offer a

0:21:14.840 --> 0:21:19.320
<v Speaker 8>more kind of broad array of models, just as we've

0:21:19.320 --> 0:21:20.359
<v Speaker 8>seen Open Eye.

0:21:20.119 --> 0:21:20.600
<v Speaker 11>Do as well.

0:21:21.000 --> 0:21:22.480
<v Speaker 4>Jackie, really quick, I don't want to put you on

0:21:22.480 --> 0:21:24.920
<v Speaker 4>the spot, but of all the announcements, what's the one

0:21:24.960 --> 0:21:27.680
<v Speaker 4>piece of AI technology you're actually using right now?

0:21:28.680 --> 0:21:29.240
<v Speaker 3>Personally?

0:21:29.400 --> 0:21:33.679
<v Speaker 8>I love how it you know, in Google Docs, it

0:21:33.720 --> 0:21:36.240
<v Speaker 8>makes my needing templates. I don't really have to worry

0:21:36.240 --> 0:21:39.720
<v Speaker 8>about kind of doing all the drudgery there. I don't

0:21:39.800 --> 0:21:42.720
<v Speaker 8>use it quite yet for work, but it's kind of

0:21:42.760 --> 0:21:44.480
<v Speaker 8>the you know, if I need to write up a

0:21:44.560 --> 0:21:48.119
<v Speaker 8>quick note, half the template is already there. It's predictive,

0:21:48.480 --> 0:21:50.399
<v Speaker 8>so it kind of knows what I'm looking to write

0:21:51.040 --> 0:21:53.639
<v Speaker 8>and it takes some of that boring aspect out of

0:21:53.640 --> 0:21:54.200
<v Speaker 8>my work there.

0:21:54.640 --> 0:21:58.080
<v Speaker 2>I love that Jackie Devlo's ps on agnostic don't use

0:21:58.160 --> 0:21:58.480
<v Speaker 2>all of.

0:21:58.400 --> 0:22:00.560
<v Speaker 3>The above and many but others available.

0:22:00.720 --> 0:22:02.960
<v Speaker 2>Yeah, absolutely love how you're giving us the nuance of

0:22:02.960 --> 0:22:04.440
<v Speaker 2>how are you using it in real day life? Thank

0:22:04.480 --> 0:22:14.520
<v Speaker 2>you very much. Indeed, Jackie Davlosk welcome Actively made Technology.

0:22:14.520 --> 0:22:15.840
<v Speaker 2>And Caroline Hyde in New York.

0:22:16.160 --> 0:22:18.560
<v Speaker 4>Elam Ed Ludlow in San Francisco. Let's get a quick

0:22:18.600 --> 0:22:19.960
<v Speaker 4>check on the market. So this is kind of where

0:22:19.960 --> 0:22:22.880
<v Speaker 4>we stand in the moment. We are basically treading water.

0:22:23.160 --> 0:22:25.840
<v Speaker 4>When it comes to the nads that one hundred, there

0:22:25.880 --> 0:22:28.640
<v Speaker 4>are as equal number of names in the green as

0:22:28.640 --> 0:22:31.960
<v Speaker 4>there are in the red. And then we look at

0:22:32.080 --> 0:22:35.119
<v Speaker 4>the Golden Dragon China Index. This is basically the US

0:22:35.160 --> 0:22:39.200
<v Speaker 4>listed shares of China's biggest technology companies.

0:22:39.440 --> 0:22:41.920
<v Speaker 3>You have the earning story, which we're about to touch.

0:22:41.680 --> 0:22:44.800
<v Speaker 4>On, and then you have the impact of Biden administration

0:22:45.400 --> 0:22:50.480
<v Speaker 4>tariffs on the automotive sector in China. Those are some

0:22:50.600 --> 0:22:53.760
<v Speaker 4>usisted names that also are impacted in terms of the specifics.

0:22:53.960 --> 0:22:56.040
<v Speaker 4>Spend a lot of the morning looking at Ali Barba

0:22:56.359 --> 0:22:59.639
<v Speaker 4>and Tencent. The stories are really clear. Ali Barbara pretty

0:22:59.640 --> 0:23:02.800
<v Speaker 4>slug single digit growth on its core e commerce business

0:23:02.800 --> 0:23:05.720
<v Speaker 4>and its cloud unit. Cloud adoption slow in China, but

0:23:05.840 --> 0:23:08.560
<v Speaker 4>Ai is there. And then ten Cent great strength in

0:23:08.680 --> 0:23:12.040
<v Speaker 4>video advertising, great strength in the we chat user base

0:23:12.080 --> 0:23:14.200
<v Speaker 4>in terms of the number of hours that are going on.

0:23:14.560 --> 0:23:16.600
<v Speaker 4>So one stop going lower in the US and another

0:23:16.640 --> 0:23:19.240
<v Speaker 4>stop going higher. Let's wrap it all up and bring

0:23:19.240 --> 0:23:21.760
<v Speaker 4>in Bloomberg's Henry Wren and Isabelle.

0:23:21.400 --> 0:23:22.840
<v Speaker 3>Lee and isabel stop with you.

0:23:22.880 --> 0:23:25.639
<v Speaker 4>I think that's the summary right when it comes to

0:23:26.160 --> 0:23:29.360
<v Speaker 4>this earnings in what I outlined, but start with Ali

0:23:29.400 --> 0:23:30.399
<v Speaker 4>Barbera and what they said.

0:23:30.880 --> 0:23:32.560
<v Speaker 11>So this is really the tale of two cities. We

0:23:32.600 --> 0:23:35.080
<v Speaker 11>have ten Cent reporting a better than projected sixty two

0:23:35.119 --> 0:23:38.600
<v Speaker 11>percent surgeon earnings, but Ali Baba's profit plunge and the

0:23:38.640 --> 0:23:42.159
<v Speaker 11>fact that the two biggest internet bihimots and China reported

0:23:42.240 --> 0:23:44.240
<v Speaker 11>on the same day is a rarity and the fact

0:23:44.240 --> 0:23:46.800
<v Speaker 11>that they did just really highlighted the tale of two

0:23:46.800 --> 0:23:49.920
<v Speaker 11>fortunes for both. And yes, both reported better than expected

0:23:50.040 --> 0:23:53.359
<v Speaker 11>single digit revenue growth, but it's the profit performance where

0:23:53.359 --> 0:23:55.560
<v Speaker 11>they diverge, and investors are really closely looking at the

0:23:55.560 --> 0:23:57.960
<v Speaker 11>bottom line of these two companies because they're both really

0:23:58.000 --> 0:24:01.440
<v Speaker 11>seen as a barometer of Chinese health, especially China recovers

0:24:01.480 --> 0:24:04.240
<v Speaker 11>from this rocky COVID recovery, and of course we have

0:24:04.359 --> 0:24:07.200
<v Speaker 11>also that year's long big tech crackdown and get this,

0:24:07.600 --> 0:24:11.280
<v Speaker 11>neither company offered investors strong reassurances of the plight of

0:24:11.320 --> 0:24:14.440
<v Speaker 11>Chinese economy moving forward, So that's something investors are hanging on.

0:24:14.640 --> 0:24:15.480
<v Speaker 3>We love how you give.

0:24:15.440 --> 0:24:18.320
<v Speaker 2>Us the macro context. It's about, Henry, let's go micro

0:24:18.480 --> 0:24:21.879
<v Speaker 2>with you and let's go optimistic first. Why was Tencent

0:24:22.080 --> 0:24:24.720
<v Speaker 2>really managing to pull it out for the investor base today.

0:24:25.760 --> 0:24:30.920
<v Speaker 10>Yeah, Tensen's profitability really shines out today's in today's results.

0:24:30.920 --> 0:24:35.720
<v Speaker 10>So basically the video streaming is huge positive, but also

0:24:35.720 --> 0:24:39.000
<v Speaker 10>in the meantime, the company is cutting hugely on costs.

0:24:39.400 --> 0:24:42.200
<v Speaker 10>Remember the company is booking on revenue growth of six

0:24:42.240 --> 0:24:44.800
<v Speaker 10>percent in the quarter, but its cost of revenue is

0:24:44.840 --> 0:24:47.440
<v Speaker 10>actually down eight percent from a year ago, and the

0:24:47.520 --> 0:24:50.360
<v Speaker 10>key to that is lower countent costs as far as

0:24:50.480 --> 0:24:55.320
<v Speaker 10>lower costs associated with crowd projects deployment, but also in

0:24:55.320 --> 0:24:58.040
<v Speaker 10>the meantime the company is cutting down other costs, for

0:24:58.080 --> 0:25:02.680
<v Speaker 10>example employee benefits based compensation, and that really stands out.

0:25:03.040 --> 0:25:06.120
<v Speaker 10>A key worry for Tencent in recent quarters has been

0:25:06.640 --> 0:25:10.159
<v Speaker 10>it's domestic gaming business, but it's also showing some signs

0:25:10.160 --> 0:25:13.080
<v Speaker 10>of green shoots as well. The companies say two of

0:25:13.119 --> 0:25:19.040
<v Speaker 10>its flagship games actually received positive gross received growth in March,

0:25:19.119 --> 0:25:22.280
<v Speaker 10>so that's a passive signal taken away from investors too.

0:25:22.320 --> 0:25:24.440
<v Speaker 3>No I was interested now on the gaming sites.

0:25:24.440 --> 0:25:26.240
<v Speaker 4>They were talking about, how like rather than have some

0:25:26.280 --> 0:25:29.600
<v Speaker 4>big standalone organic title, they would have the kind of

0:25:29.640 --> 0:25:33.640
<v Speaker 4>games coming where you can update them regularly. Both companies

0:25:33.680 --> 0:25:36.840
<v Speaker 4>or executives on both sides. Henry also had some basically

0:25:36.920 --> 0:25:40.159
<v Speaker 4>fighting talk saying that they were each the best at AI.

0:25:40.760 --> 0:25:43.680
<v Speaker 4>Did we learn anything new about either company's AI strategy?

0:25:44.960 --> 0:25:45.240
<v Speaker 3>Yes.

0:25:45.280 --> 0:25:49.080
<v Speaker 10>Indeed, for Ali Baba, for example, it's pretty confident that

0:25:49.440 --> 0:25:52.720
<v Speaker 10>AI world drive growth in this cloud business. The company said,

0:25:54.440 --> 0:25:57.920
<v Speaker 10>with its AIS models gaining steam in China, it's confident

0:25:57.960 --> 0:26:02.360
<v Speaker 10>that it will turbo charge cloud units growth. Remember it's

0:26:02.400 --> 0:26:05.639
<v Speaker 10>still pretty tepic growth in this quarter percent of revenue growth,

0:26:05.760 --> 0:26:07.920
<v Speaker 10>but it says it's confident that in the second half

0:26:08.200 --> 0:26:11.639
<v Speaker 10>of fiscal twenty five it can actually return back to

0:26:11.800 --> 0:26:14.320
<v Speaker 10>double digit growth for its cloud unit, which should be

0:26:14.400 --> 0:26:16.880
<v Speaker 10>a good news because cloud unit has always been seen

0:26:17.200 --> 0:26:21.439
<v Speaker 10>as a growth driver for Ali Baba and the for

0:26:21.520 --> 0:26:24.440
<v Speaker 10>the other side of Tensents. It's actually already bearing fruit.

0:26:24.800 --> 0:26:29.359
<v Speaker 10>Remember that we mentioned about the strong advertising momentum for

0:26:29.480 --> 0:26:36.760
<v Speaker 10>Tensen's video streaming business. Remember that the company is actually

0:26:36.880 --> 0:26:41.600
<v Speaker 10>already deploying many of its AI organism in recommending videos

0:26:41.640 --> 0:26:44.439
<v Speaker 10>for its users, so it has already been seeing some

0:26:44.480 --> 0:26:46.119
<v Speaker 10>of the early signs of benefits.

0:26:46.560 --> 0:26:48.800
<v Speaker 2>It's a well, push us forward a little bit here,

0:26:48.840 --> 0:26:51.600
<v Speaker 2>because you're giving us the sort of context of the

0:26:51.640 --> 0:26:55.399
<v Speaker 2>consumer as well. We've got JD dot Com coming later.

0:26:55.160 --> 0:26:55.640
<v Speaker 3>In the week.

0:26:56.000 --> 0:26:58.359
<v Speaker 2>I mean, they aren't the only company by do as well.

0:26:58.840 --> 0:27:00.880
<v Speaker 2>Are we going to get any kind on just how

0:27:01.000 --> 0:27:03.320
<v Speaker 2>resilient a Chinese consumer is right now?

0:27:03.560 --> 0:27:06.640
<v Speaker 11>I think we will, because Chinese consumers still remain really cautious.

0:27:06.680 --> 0:27:08.800
<v Speaker 11>I mean they're dealing with a property meltdown, they're dealing

0:27:08.880 --> 0:27:11.520
<v Speaker 11>with persistent use employment, and the Chinese economy is still

0:27:11.520 --> 0:27:14.320
<v Speaker 11>slipping deeper and deeper into deflation. But to your point,

0:27:14.480 --> 0:27:16.639
<v Speaker 11>it is a big month for Chinese company. So we

0:27:16.680 --> 0:27:19.800
<v Speaker 11>have Baidujd, dot com CLM, net Ease, and Chinese Tech

0:27:19.840 --> 0:27:22.800
<v Speaker 11>Company is actually surprised to be upside for the last

0:27:22.840 --> 0:27:25.000
<v Speaker 11>eight quarters. So this is kind of good news. It

0:27:25.080 --> 0:27:27.639
<v Speaker 11>means that you know, recovery is there, slowly but surely.

0:27:27.800 --> 0:27:29.600
<v Speaker 11>But the money managers have been talking to look at

0:27:29.680 --> 0:27:32.199
<v Speaker 11>China two ways. It's either too cheap that's why they

0:27:32.240 --> 0:27:35.200
<v Speaker 11>want to go in, or it's either it's too cheap

0:27:35.320 --> 0:27:38.119
<v Speaker 11>for a reason. So there are really like diverging views

0:27:38.280 --> 0:27:40.560
<v Speaker 11>among them. But I think this is really going to

0:27:40.600 --> 0:27:44.920
<v Speaker 11>be a big tell moving forward this month as well.

0:27:45.040 --> 0:27:47.160
<v Speaker 2>Me we brace ourselves, so the feather un needs to come.

0:27:47.200 --> 0:27:49.439
<v Speaker 2>Henry Wren, great wrap up on the micro of all

0:27:49.560 --> 0:27:52.359
<v Speaker 2>that we've just digested. Meanwhile, let's turn our attention to

0:27:52.600 --> 0:27:56.360
<v Speaker 2>Washington and US China relationships from a geopolitical perspective. Now,

0:27:56.520 --> 0:27:59.280
<v Speaker 2>President Biden hiking those tariffs as we expected on a

0:27:59.320 --> 0:28:03.880
<v Speaker 2>wide range Chinese impults, including semiconductors, batteries, sona cells, critical

0:28:03.920 --> 0:28:07.240
<v Speaker 2>minerals from all Let's bring in news Kaye lines in Washington,

0:28:07.400 --> 0:28:11.400
<v Speaker 2>a trend started by Trump continued by the current administration.

0:28:11.640 --> 0:28:14.040
<v Speaker 2>But there is nuance to how they're doing this, Kailey.

0:28:15.240 --> 0:28:18.399
<v Speaker 12>There is, Caroline. Largely the Trump era tariffs have remained

0:28:18.440 --> 0:28:21.520
<v Speaker 12>intact under this administration, and in fact, no tariffs are

0:28:21.560 --> 0:28:23.880
<v Speaker 12>actually being reduced today. There are just some new ones

0:28:23.880 --> 0:28:26.240
<v Speaker 12>being implemented in others being raised. All said, this will

0:28:26.240 --> 0:28:30.080
<v Speaker 12>effect about eighteen billion dollars of Chinese imports into the US.

0:28:30.119 --> 0:28:32.159
<v Speaker 12>All of this will take effect between this year and

0:28:32.240 --> 0:28:34.240
<v Speaker 12>twenty twenty five. As you say, a number of key

0:28:34.240 --> 0:28:37.399
<v Speaker 12>industries are in focus here. Semiconductors will see the tariff

0:28:37.440 --> 0:28:40.280
<v Speaker 12>rate go from twenty five percent to fifty percent by

0:28:40.360 --> 0:28:44.280
<v Speaker 12>twenty twenty five. That's aimed specifically, it's so called legacy chips.

0:28:44.320 --> 0:28:45.120
<v Speaker 3>You'll also see.

0:28:44.920 --> 0:28:48.280
<v Speaker 12>Critical mineral tariffs a new tariff of twenty five percent

0:28:48.360 --> 0:28:50.160
<v Speaker 12>this year. That is one area in which this could

0:28:50.160 --> 0:28:54.160
<v Speaker 12>actually be more disruptive than just symbolic, considering the US

0:28:54.200 --> 0:28:57.720
<v Speaker 12>is still largely dependent on China for things like critical

0:28:57.760 --> 0:29:01.160
<v Speaker 12>minerals than others we saw forecasts and voting solar cells

0:29:01.200 --> 0:29:04.840
<v Speaker 12>and batteries, specifically lithium ion batteries. We'll see that tariff

0:29:04.920 --> 0:29:06.920
<v Speaker 12>rate go higher. It's going to jump to about twenty

0:29:06.960 --> 0:29:10.440
<v Speaker 12>five percent. Cell tariffs will jump from twenty five percent

0:29:10.480 --> 0:29:13.160
<v Speaker 12>to fifty percent. And then the big quadrupling is in

0:29:13.280 --> 0:29:15.440
<v Speaker 12>Chinese made electric vehicles that goes all the way up

0:29:15.480 --> 0:29:17.760
<v Speaker 12>to one hundred and two and a half percent. But

0:29:17.800 --> 0:29:20.560
<v Speaker 12>that is one area in which largely it is symbolic

0:29:20.600 --> 0:29:23.280
<v Speaker 12>as because of existing tariffs on Chinese evs already, they

0:29:23.280 --> 0:29:27.160
<v Speaker 12>weren't really looking at the US consumer market to get

0:29:27.200 --> 0:29:29.600
<v Speaker 12>that demand. What this really is about, though, is making

0:29:29.680 --> 0:29:33.600
<v Speaker 12>sure that no further supply necessarily could come dumping into

0:29:33.640 --> 0:29:36.760
<v Speaker 12>the US. Given the concerns the administration has about Chinese

0:29:36.800 --> 0:29:39.200
<v Speaker 12>over capacity, They really with these tariffs are trying to

0:29:39.200 --> 0:29:43.920
<v Speaker 12>aim at shoring up US production in these critical areas.

0:29:43.960 --> 0:29:47.240
<v Speaker 12>And we'll see what effect this may have in return

0:29:47.320 --> 0:29:49.840
<v Speaker 12>on the US if there's any retaliatory moves that could

0:29:49.880 --> 0:29:53.120
<v Speaker 12>potentially come to China, which said today it's resolutely opposed

0:29:53.240 --> 0:29:54.160
<v Speaker 12>to these new measures.

0:29:55.120 --> 0:29:57.440
<v Speaker 4>We discussed on the show yesterday and I checked there

0:29:57.440 --> 0:30:00.680
<v Speaker 4>are just full China made EV you can buy in

0:30:00.720 --> 0:30:02.280
<v Speaker 4>this country. So, as you point out, it's like more

0:30:02.320 --> 0:30:05.280
<v Speaker 4>of a deterrent for more models to come. There's a

0:30:05.320 --> 0:30:08.200
<v Speaker 4>balancing act here so that everyone doesn't get hurt, you know.

0:30:08.280 --> 0:30:13.080
<v Speaker 4>Amory Horden Bloomberg's Amory spoke to the Treasury Secretary, and

0:30:13.160 --> 0:30:15.400
<v Speaker 4>I think we're getting a sense here that there is

0:30:15.400 --> 0:30:18.600
<v Speaker 4>a clear message from the administration, but they're basically saying,

0:30:18.640 --> 0:30:20.640
<v Speaker 4>we're just being fair with what China's doing.

0:30:21.000 --> 0:30:23.200
<v Speaker 12>Yeah, Essentially, they want to make sure that the US

0:30:23.320 --> 0:30:27.560
<v Speaker 12>is competitive, noting that China has some uncompetitive or unfair practices,

0:30:27.560 --> 0:30:29.880
<v Speaker 12>including with things like subsidies. This is something that we

0:30:29.960 --> 0:30:33.240
<v Speaker 12>heard the Treasury Secretary talking about. However, when Amory asked

0:30:33.240 --> 0:30:35.520
<v Speaker 12>heree yesterday if the US is looking for another outright

0:30:35.560 --> 0:30:38.400
<v Speaker 12>trade war with China, the Treasury Secretary didn't seem to

0:30:38.480 --> 0:30:40.480
<v Speaker 12>want to confirm that, because they are trying to walk

0:30:40.520 --> 0:30:42.560
<v Speaker 12>this very delicate line here where they don't want to

0:30:42.560 --> 0:30:45.840
<v Speaker 12>have blowback on US consumers. That is perhaps why, as well,

0:30:45.840 --> 0:30:49.120
<v Speaker 12>you are seeing this more calibrated targeting of certain areas

0:30:49.320 --> 0:30:51.640
<v Speaker 12>coming from the Biden administration in this section three oh

0:30:51.720 --> 0:30:54.920
<v Speaker 12>one review, rather than something like the blanket sixty percent.

0:30:54.960 --> 0:30:56.760
<v Speaker 12>HERI IFFs that Donald Trump says he would look to

0:30:56.800 --> 0:31:00.320
<v Speaker 12>do on all Chinese imports in a second administration should

0:31:00.320 --> 0:31:02.880
<v Speaker 12>he win the White House in November, because there is

0:31:02.920 --> 0:31:05.360
<v Speaker 12>a concern as well about the inflationary effect that this

0:31:05.440 --> 0:31:08.160
<v Speaker 12>could have here at home. Obviously, while you would like

0:31:08.200 --> 0:31:10.560
<v Speaker 12>to say that this hurts China, its costs that are

0:31:10.560 --> 0:31:12.800
<v Speaker 12>paid by importers that could then get passed on to

0:31:12.920 --> 0:31:14.920
<v Speaker 12>the end consumer could result in higher costs for the

0:31:14.960 --> 0:31:17.520
<v Speaker 12>American people at a time when this administration is not

0:31:17.520 --> 0:31:21.400
<v Speaker 12>only struggling geopolitically to navigate its relationship with China and

0:31:21.440 --> 0:31:24.360
<v Speaker 12>make sure it's competitive but still cooperative, but also here

0:31:24.400 --> 0:31:27.479
<v Speaker 12>at home as they're seeking reelection, really struggling with an

0:31:27.480 --> 0:31:30.600
<v Speaker 12>economy and an inflation outlook that many Americans are unhappy with.

0:31:30.960 --> 0:31:33.719
<v Speaker 3>Investigated lines out of Washington, d C. Thank you very much.

0:31:33.720 --> 0:31:36.040
<v Speaker 4>All right, Coming up on Bloomberg Technology, we're going to

0:31:36.080 --> 0:31:39.240
<v Speaker 4>be joined by Craft co founder and partner David.

0:31:39.040 --> 0:31:41.640
<v Speaker 3>Sachs on a brand new AI.

0:31:41.440 --> 0:31:44.880
<v Speaker 4>Communication tool and company that he's leading. That conversation coming

0:31:44.880 --> 0:31:46.560
<v Speaker 4>out and stay with us because we'll be right back.

0:31:46.840 --> 0:32:06.040
<v Speaker 4>This is Bloomberg Technology, a work chat for the AI era.

0:32:06.120 --> 0:32:08.920
<v Speaker 4>It's called Glue, and it's a new AI native communication

0:32:09.040 --> 0:32:12.400
<v Speaker 4>platform going public, coming out of Stealth today after six

0:32:12.440 --> 0:32:14.040
<v Speaker 4>months of private beta.

0:32:14.120 --> 0:32:15.440
<v Speaker 3>The founders say.

0:32:15.360 --> 0:32:17.680
<v Speaker 4>Glue takes the best of both worlds from Chat, GPT

0:32:17.800 --> 0:32:20.800
<v Speaker 4>and Slack, and it was built for the way people

0:32:20.840 --> 0:32:24.520
<v Speaker 4>now collaborate, both with colleagues and with their AI assistance.

0:32:24.600 --> 0:32:26.240
<v Speaker 3>Let's bring in Craft partner.

0:32:26.120 --> 0:32:28.040
<v Speaker 4>And Glue co founder and chairman de like to say

0:32:28.040 --> 0:32:31.240
<v Speaker 4>that David Sachs is whe us here on Bloomberg Technology. David,

0:32:31.280 --> 0:32:32.800
<v Speaker 4>if it's OK, I actually just want to start with

0:32:33.000 --> 0:32:37.280
<v Speaker 4>the technology itself. You know, Glue's built to support both

0:32:38.040 --> 0:32:40.640
<v Speaker 4>GBT four and Claude three, and I just wondered if

0:32:40.640 --> 0:32:43.480
<v Speaker 4>you talk us through the approach you took in building

0:32:43.520 --> 0:32:44.160
<v Speaker 4>it right.

0:32:44.200 --> 0:32:46.880
<v Speaker 1>Well, we want to be agnostic.

0:32:46.960 --> 0:32:49.840
<v Speaker 13>We want to work with really all the major models,

0:32:49.880 --> 0:32:52.280
<v Speaker 13>and we're starting with Chat GBT and we're starting with Claude.

0:32:52.400 --> 0:32:54.720
<v Speaker 13>And by the way, we're using the latest version of

0:32:54.800 --> 0:32:58.760
<v Speaker 13>Chat GPT, Chat GBT four Army that they just launched yesterday,

0:32:58.760 --> 0:33:03.360
<v Speaker 13>and it is pretty awesome. The performances terrific. But stepping

0:33:03.360 --> 0:33:05.440
<v Speaker 13>back a second, what we're trying to do with Glue

0:33:05.480 --> 0:33:09.320
<v Speaker 13>AI is create the first AI native chat app, and

0:33:09.400 --> 0:33:12.200
<v Speaker 13>what it does is it creates one place where you

0:33:12.240 --> 0:33:14.800
<v Speaker 13>can have your chats with AI and your chats with

0:33:15.000 --> 0:33:18.400
<v Speaker 13>humans with your team, because we think people, we think

0:33:18.480 --> 0:33:20.680
<v Speaker 13>employees want to do that in one place instead of going.

0:33:20.600 --> 0:33:22.120
<v Speaker 1>To two separate apps.

0:33:22.480 --> 0:33:25.040
<v Speaker 13>The problem with chat GPT, as awesome as it is,

0:33:25.040 --> 0:33:27.880
<v Speaker 13>is that it's not a multiplayer experience. There's no way

0:33:27.880 --> 0:33:32.200
<v Speaker 13>to bring your coworkers into the chat with you. And

0:33:32.240 --> 0:33:35.080
<v Speaker 13>the problem with Slack is really that the channels get

0:33:35.080 --> 0:33:38.320
<v Speaker 13>in the way, and we hear from lots of teams

0:33:38.320 --> 0:33:41.680
<v Speaker 13>that they have channel fatigue and really want this new

0:33:42.240 --> 0:33:45.480
<v Speaker 13>threaded conversation model without all the channels.

0:33:45.600 --> 0:33:46.800
<v Speaker 1>So that's what we've done with Glue.

0:33:46.920 --> 0:33:49.360
<v Speaker 4>David, we know you as a bench capus right, a

0:33:49.360 --> 0:33:53.400
<v Speaker 4>long time investor in technology companies. What was the need

0:33:53.640 --> 0:33:56.640
<v Speaker 4>that you identified or the gap in the marketplace that

0:33:57.200 --> 0:34:00.640
<v Speaker 4>you wanted to start and build a company yourself and

0:34:00.720 --> 0:34:03.680
<v Speaker 4>the tool rather than them back, I guess, or invest

0:34:03.920 --> 0:34:04.720
<v Speaker 4>in another player.

0:34:05.080 --> 0:34:09.160
<v Speaker 13>Well, you know, before becoming an investor and before becoming

0:34:09.200 --> 0:34:12.000
<v Speaker 13>a podcaster, I actually was an Internet product eye. I

0:34:12.040 --> 0:34:13.799
<v Speaker 13>was a head of product at PayPal, and then I

0:34:13.800 --> 0:34:16.279
<v Speaker 13>created a company called yamor back in two thousand and eight,

0:34:16.280 --> 0:34:18.800
<v Speaker 13>which was the first or one of the first enterprise

0:34:18.840 --> 0:34:22.319
<v Speaker 13>messaging platforms, and back then it was based on the

0:34:22.360 --> 0:34:25.600
<v Speaker 13>idea of feeds, which thanks to social networking, were kind

0:34:25.600 --> 0:34:29.320
<v Speaker 13>of the conversation paradigm. Then you know, the next decade

0:34:29.360 --> 0:34:31.720
<v Speaker 13>we had Slack, which is based on IOC and channels,

0:34:31.760 --> 0:34:34.560
<v Speaker 13>and now we have a new conversation paradigm that's based

0:34:34.600 --> 0:34:37.760
<v Speaker 13>on AI. It's based on chat GPT. I think every

0:34:37.840 --> 0:34:41.000
<v Speaker 13>decade you get a new paradigm like this and you

0:34:41.080 --> 0:34:43.359
<v Speaker 13>need a new communication tool, and that's what we've built

0:34:43.360 --> 0:34:45.960
<v Speaker 13>with Glue. I just didn't see that tool on the

0:34:46.000 --> 0:34:49.600
<v Speaker 13>marketplace that was reacting fast enough to this disruption, and

0:34:49.680 --> 0:34:52.720
<v Speaker 13>so I partnered with Evan Owen, who's my co founder

0:34:52.760 --> 0:34:56.400
<v Speaker 13>and CEO, in order to create in order to create Clue.

0:34:56.680 --> 0:34:58.759
<v Speaker 2>Now, David, I know that you like to start your

0:34:58.760 --> 0:35:01.279
<v Speaker 2>pictures with a demo, So let's demo in a little bit.

0:35:01.280 --> 0:35:02.880
<v Speaker 2>I want to look at how it looks, it feels,

0:35:02.920 --> 0:35:05.880
<v Speaker 2>and how it's going to interact. And as the founder,

0:35:06.360 --> 0:35:08.799
<v Speaker 2>as well as putting the money into this, are you

0:35:08.840 --> 0:35:11.080
<v Speaker 2>not worried about, well, the competition that's out there because

0:35:11.120 --> 0:35:13.400
<v Speaker 2>everyone's getting into enterprise generator AI.

0:35:15.400 --> 0:35:15.799
<v Speaker 1>For sure.

0:35:15.840 --> 0:35:20.000
<v Speaker 13>I mean right now every enterprise SaaS app is trying

0:35:20.040 --> 0:35:23.040
<v Speaker 13>to figure out how to incorporate AI into their product roadmap.

0:35:23.040 --> 0:35:24.000
<v Speaker 1>There's no question about that.

0:35:24.040 --> 0:35:26.080
<v Speaker 13>But I think there's still a pretty big debate about

0:35:26.120 --> 0:35:28.960
<v Speaker 13>where AI is going to live in the enterprise. Where

0:35:28.960 --> 0:35:31.560
<v Speaker 13>are you going to go to ask those sort of

0:35:31.600 --> 0:35:35.480
<v Speaker 13>broad based questions about, for example, who in your enterprise

0:35:35.560 --> 0:35:38.680
<v Speaker 13>has the right expertise, who should be talking to Are

0:35:38.680 --> 0:35:42.399
<v Speaker 13>those sort of core enterprise collaboration use cases. And our

0:35:42.480 --> 0:35:45.239
<v Speaker 13>view on it is that AI should live in the

0:35:45.360 --> 0:35:47.960
<v Speaker 13>chat because again, you don't want to have one application

0:35:48.040 --> 0:35:50.680
<v Speaker 13>for your AI chats and one application for human chats.

0:35:50.840 --> 0:35:53.240
<v Speaker 1>It all belongs together and the AI.

0:35:53.520 --> 0:35:55.759
<v Speaker 13>What we found is that when you do incorporate the

0:35:55.840 --> 0:35:59.080
<v Speaker 13>AI as a full fledged participant into the chat, it's

0:35:59.160 --> 0:36:02.640
<v Speaker 13>able to use all of the live chat history as context,

0:36:03.080 --> 0:36:07.440
<v Speaker 13>and so your work chat app is able to give

0:36:07.480 --> 0:36:11.480
<v Speaker 13>you answers that regular chat GPT could not. We've had

0:36:11.680 --> 0:36:15.360
<v Speaker 13>really staggering results at craft Ventures using this product. Internally,

0:36:15.760 --> 0:36:18.160
<v Speaker 13>I've asked the AI to write Investment my most for

0:36:18.239 --> 0:36:20.840
<v Speaker 13>me summarize the arguments for and against investing in a company.

0:36:20.920 --> 0:36:23.960
<v Speaker 13>It's done an unbelievable a job just assembling those arguments

0:36:24.160 --> 0:36:27.000
<v Speaker 13>based on the chat history. I've asked it who is

0:36:27.040 --> 0:36:29.319
<v Speaker 13>contributing the most to deal flow at craft, and the

0:36:29.360 --> 0:36:31.880
<v Speaker 13>AI is able to tell me. It's really amazing the

0:36:31.920 --> 0:36:35.040
<v Speaker 13>answers you can get when you give AI access to

0:36:35.040 --> 0:36:35.800
<v Speaker 13>your chat history.

0:36:36.800 --> 0:36:40.400
<v Speaker 2>Amazing answers built by in many ways, amazing large language

0:36:40.400 --> 0:36:44.920
<v Speaker 2>models that underpin it. I'm interested in you having sold

0:36:45.120 --> 0:36:48.880
<v Speaker 2>Yamma to Microsoft previously, having understood the way the M

0:36:48.880 --> 0:36:50.800
<v Speaker 2>and A works, and the company that looks for exits

0:36:51.040 --> 0:36:53.440
<v Speaker 2>is now seeing all these interesting partnerships, shall we call

0:36:53.520 --> 0:36:56.160
<v Speaker 2>them being done, whether it's Aquahy's, whether it is opening

0:36:56.680 --> 0:36:59.520
<v Speaker 2>Timmy when Microsoft and throp Aic of course going in

0:36:59.520 --> 0:37:01.480
<v Speaker 2>with Amazon and I'm Google at the same time. How

0:37:01.520 --> 0:37:02.800
<v Speaker 2>do you judge that as a VC.

0:37:03.680 --> 0:37:06.760
<v Speaker 13>Well, there's innovation happening at every level of the stack.

0:37:06.880 --> 0:37:11.160
<v Speaker 13>I mean you're seeing tremendous innovation at the foundation model layer.

0:37:11.239 --> 0:37:14.040
<v Speaker 13>You've got open AI, You've got Anthropic like you've mentioned,

0:37:14.080 --> 0:37:18.480
<v Speaker 13>you've got x Ai now launching that we just invested in.

0:37:18.960 --> 0:37:22.200
<v Speaker 13>Then you've got innovation happening at the application layer of

0:37:22.320 --> 0:37:25.400
<v Speaker 13>the stack, where applications are able to take advantage of

0:37:25.440 --> 0:37:29.200
<v Speaker 13>all the new capabilities created by these lllms, And if

0:37:29.200 --> 0:37:32.359
<v Speaker 13>you're positioned correctly in the application layer, you don't want

0:37:32.400 --> 0:37:33.680
<v Speaker 13>to compete against the models.

0:37:33.760 --> 0:37:34.880
<v Speaker 1>You want to harness them.

0:37:35.040 --> 0:37:37.719
<v Speaker 13>So as the models get better and better, your application

0:37:37.760 --> 0:37:39.920
<v Speaker 13>gets better and better. And that's what we've seen with

0:37:40.080 --> 0:37:43.240
<v Speaker 13>Glue is that with each new release of Chat, GPT

0:37:43.400 --> 0:37:46.759
<v Speaker 13>or these other models that we've incorporated, like Flaud, the

0:37:46.760 --> 0:37:48.600
<v Speaker 13>Glue Chat tool just gets better and better.

0:37:48.640 --> 0:37:50.000
<v Speaker 1>So we're going to ride that wave.

0:37:50.360 --> 0:37:53.520
<v Speaker 13>As the underlying model innovation continues and the models get

0:37:53.520 --> 0:37:56.080
<v Speaker 13>better and better, the features of our application will get

0:37:56.080 --> 0:37:56.760
<v Speaker 13>better and better.

0:37:57.239 --> 0:37:58.800
<v Speaker 1>And that's how you want to position yourself.

0:38:00.000 --> 0:38:02.440
<v Speaker 4>Tru David, you had Sam Outman on the All Limpod

0:38:02.560 --> 0:38:05.000
<v Speaker 4>last week, and I think on social media there was

0:38:05.040 --> 0:38:08.120
<v Speaker 4>some debate which you participated in, about whether he'd said

0:38:08.120 --> 0:38:12.560
<v Speaker 4>anything new. But go to yesterday's presentation from open AI.

0:38:12.960 --> 0:38:15.080
<v Speaker 4>How much of it then surprised you based on the

0:38:15.080 --> 0:38:16.480
<v Speaker 4>conversation you'd had last week.

0:38:17.640 --> 0:38:20.040
<v Speaker 13>Well, in retrospect, he gave us a bunch of hints

0:38:20.200 --> 0:38:22.960
<v Speaker 13>last week, so I was I shouldn't have I was

0:38:23.000 --> 0:38:25.560
<v Speaker 13>being a little bit uncharitable, but really I wasn't criticizing Sam,

0:38:25.560 --> 0:38:29.840
<v Speaker 13>I was just trying to ratio Jason, But yeah, no,

0:38:30.320 --> 0:38:32.520
<v Speaker 13>Sam gave us a bunch of hints last week that

0:38:32.600 --> 0:38:34.719
<v Speaker 13>now make a lot more sense in the light of

0:38:35.080 --> 0:38:39.560
<v Speaker 13>chat gpto yesterday, which really was an impressive demo, and

0:38:39.600 --> 0:38:42.279
<v Speaker 13>like I said, we've already incorporated it into Glue, and

0:38:42.640 --> 0:38:44.880
<v Speaker 13>I can tell you the performance of it is way

0:38:44.920 --> 0:38:48.120
<v Speaker 13>better than GPT four Turbo. So kudos to the open

0:38:48.160 --> 0:38:49.840
<v Speaker 13>Ai team. They've really done a great job with that.

0:38:50.760 --> 0:38:54.640
<v Speaker 4>David, quick question, just thinking about Craft's portfolio. Did you

0:38:54.719 --> 0:38:56.680
<v Speaker 4>try to get into the Xai round.

0:38:57.120 --> 0:38:59.080
<v Speaker 1>Yeah, we did, We've participated in that.

0:38:59.320 --> 0:39:02.880
<v Speaker 2>And from the follow will you integrate Xai into Glue

0:39:02.960 --> 0:39:05.279
<v Speaker 2>and how are you thinking about whether winner takes all

0:39:05.400 --> 0:39:07.839
<v Speaker 2>or whether there will be, of course, well a commoditized

0:39:07.920 --> 0:39:09.359
<v Speaker 2>version of large language models here.

0:39:10.480 --> 0:39:12.680
<v Speaker 13>Yeah, I mean I expect that we'll integrate with all

0:39:12.719 --> 0:39:17.719
<v Speaker 13>the major llms. Our view on it is that we're agnostic.

0:39:17.840 --> 0:39:21.200
<v Speaker 13>We want to give our users the choice of which

0:39:21.360 --> 0:39:23.759
<v Speaker 13>LM to use, and in fact, we're going to plug

0:39:23.760 --> 0:39:25.960
<v Speaker 13>into all the major lms and then we can actually

0:39:26.000 --> 0:39:28.680
<v Speaker 13>make the choice for them in terms of which model

0:39:28.680 --> 0:39:32.240
<v Speaker 13>to use based on the query that they're trying to ask,

0:39:32.680 --> 0:39:35.080
<v Speaker 13>So we actually think that the more models the better.

0:39:35.760 --> 0:39:37.880
<v Speaker 2>Do you think Xai could have got a large evaluation?

0:39:40.080 --> 0:39:42.800
<v Speaker 13>You know, I'm going to let them announce their own round.

0:39:43.040 --> 0:39:44.920
<v Speaker 13>I don't want to announce their round for them. But

0:39:46.120 --> 0:39:48.160
<v Speaker 13>if the question is whether we participated.

0:39:47.640 --> 0:39:47.920
<v Speaker 1>We did.

0:39:49.080 --> 0:39:49.360
<v Speaker 3>David.

0:39:49.360 --> 0:39:52.560
<v Speaker 4>Look, it's an election year, presidential election year. You talks

0:39:52.560 --> 0:39:55.680
<v Speaker 4>about your background in technology and being a tech investor,

0:39:55.960 --> 0:39:58.440
<v Speaker 4>and you've been vocal on a political front. Will you

0:39:58.480 --> 0:40:01.280
<v Speaker 4>be more active this year in this election cycle?

0:40:03.360 --> 0:40:05.640
<v Speaker 13>Well, you know, we talk about politics. Is one of

0:40:05.400 --> 0:40:09.040
<v Speaker 13>the topics on the All In pod. We discussed current events,

0:40:09.120 --> 0:40:12.520
<v Speaker 13>business markets, politics, foreign policy, events all over the world,

0:40:12.600 --> 0:40:15.719
<v Speaker 13>and so obviously the election is unavoidable, and it's no

0:40:15.800 --> 0:40:19.560
<v Speaker 13>secret that I've been a critic of Biden. So I

0:40:19.600 --> 0:40:24.680
<v Speaker 13>may get more involved in the sense of maybe hosting events,

0:40:24.680 --> 0:40:29.400
<v Speaker 13>maybe contributing, but it's really it's not It's certainly not

0:40:29.440 --> 0:40:31.319
<v Speaker 13>the main thing I do. Let's just put it that way.

0:40:31.360 --> 0:40:33.760
<v Speaker 13>It's the way that you get involved in the political

0:40:33.800 --> 0:40:37.359
<v Speaker 13>process is that you typically host events and you get

0:40:37.360 --> 0:40:40.200
<v Speaker 13>to maybe meet the candidates that way, and that's something

0:40:40.239 --> 0:40:43.160
<v Speaker 13>we've tried to do, me and my co host and

0:40:43.200 --> 0:40:46.799
<v Speaker 13>the all in pod. We've done that now for Robert F.

0:40:46.840 --> 0:40:49.600
<v Speaker 13>Kennedy Junior. We did that for a Vake Gramaswami. We

0:40:49.600 --> 0:40:52.000
<v Speaker 13>had them on the pod and that we did events

0:40:52.000 --> 0:40:56.439
<v Speaker 13>for them. And we've extended an offer to the other

0:40:56.520 --> 0:40:58.880
<v Speaker 13>major candidates and hope that they accept.

0:40:59.640 --> 0:41:01.960
<v Speaker 2>Well, it's not the only thing you do. It's on

0:41:02.000 --> 0:41:03.480
<v Speaker 2>top of the pod, it's on top of the investing

0:41:03.560 --> 0:41:07.040
<v Speaker 2>and on top of founding new businesses as well. Come back,

0:41:07.120 --> 0:41:09.120
<v Speaker 2>tell us how it's going. David Sackscraft partner AT and

0:41:09.160 --> 0:41:18.880
<v Speaker 2>Glue chairman. Thank you. Let's get to the return and

0:41:18.880 --> 0:41:23.200
<v Speaker 2>the mean stocks. GameStop AMC surging that retail frenzy or

0:41:23.280 --> 0:41:26.319
<v Speaker 2>is it a retail frenzy that's actually driving this whatever

0:41:26.360 --> 0:41:28.640
<v Speaker 2>it's happened, it was Roaring Kitty that seems to revive

0:41:28.680 --> 0:41:32.000
<v Speaker 2>the animal spirits. Whoomberg's belly Lipschaltz joins us for more

0:41:32.239 --> 0:41:34.279
<v Speaker 2>a nice sixty six percent higher on the day. I'm

0:41:34.280 --> 0:41:36.200
<v Speaker 2>not gonna ask you about fundamentals of the business or

0:41:36.239 --> 0:41:38.359
<v Speaker 2>the business model of selling real games and heart and

0:41:38.640 --> 0:41:42.760
<v Speaker 2>retail stores, but who is buying? Who is driving this higher?

0:41:43.280 --> 0:41:44.239
<v Speaker 3>It seems like.

0:41:44.200 --> 0:41:46.400
<v Speaker 6>This is fingerprints of Wall Street when We're looking at

0:41:46.440 --> 0:41:49.160
<v Speaker 6>some of the flow data across Fidelity, Interactive brokers, and

0:41:49.200 --> 0:41:51.040
<v Speaker 6>some of the other ways that we track what retail

0:41:51.160 --> 0:41:53.839
<v Speaker 6>is buying in as real time as possible. It doesn't

0:41:53.880 --> 0:41:55.880
<v Speaker 6>seem like they're actually buying GameStop. It seems like on

0:41:55.920 --> 0:41:59.960
<v Speaker 6>the whole net, sales across Fidelity's platform for GameStop outpacing

0:42:00.160 --> 0:42:02.600
<v Speaker 6>those to buy in GameStop, though they do seem to

0:42:02.600 --> 0:42:05.800
<v Speaker 6>be buying a bit more AMC relative to those cell orders.

0:42:05.920 --> 0:42:07.920
<v Speaker 6>But there's a lot to try to make of some

0:42:08.000 --> 0:42:10.680
<v Speaker 6>of the trends that we've been seeing. Again, GameStop has

0:42:10.719 --> 0:42:12.600
<v Speaker 6>a shot at getting back to those all time highs.

0:42:12.680 --> 0:42:15.720
<v Speaker 6>AMC is still down like ninety seven percent from those records.

0:42:16.800 --> 0:42:19.440
<v Speaker 4>Bailey, do we have any more clarity on that social

0:42:19.480 --> 0:42:21.320
<v Speaker 4>media post post by Roaring Kitty?

0:42:21.520 --> 0:42:24.399
<v Speaker 6>Yes or no? Now he's added more to it. He's

0:42:24.440 --> 0:42:27.000
<v Speaker 6>posted again today. I have no idea and what the

0:42:27.080 --> 0:42:30.160
<v Speaker 6>logic is. I've DMed him, Ryan Kitty, if you're watching this,

0:42:30.239 --> 0:42:33.239
<v Speaker 6>please DM me back, but no one knows anything, and

0:42:33.320 --> 0:42:36.279
<v Speaker 6>it's there's so much uncertainty around what he's doing and

0:42:36.320 --> 0:42:36.960
<v Speaker 6>what it could mean.

0:42:37.160 --> 0:42:39.440
<v Speaker 2>I mean, he's going on because it was initially lifting

0:42:39.520 --> 0:42:42.640
<v Speaker 2>one of gamestop's own posts back from back in February.

0:42:42.680 --> 0:42:45.120
<v Speaker 2>But now it's just video after video. Go check it

0:42:45.120 --> 0:42:47.920
<v Speaker 2>out Bailly Lipschultz, He's across all of it. Meanwhile, that

0:42:47.960 --> 0:42:49.719
<v Speaker 2>does it for this edition of Blue Big Technology ED.

0:42:49.760 --> 0:42:50.560
<v Speaker 2>It was a busy one.

0:42:51.280 --> 0:42:53.600
<v Speaker 3>Check out our podcast our pod.

0:42:53.680 --> 0:42:56.520
<v Speaker 4>You can find the pod on Apple, Spotify, iHeart, and

0:42:56.520 --> 0:42:57.600
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0:42:58.000 --> 0:43:00.440
<v Speaker 3>We love the pod from San Francisco and New York.

0:43:00.440 --> 0:43:02.920
<v Speaker 3>This is Bloombay Technology