WEBVTT - Walmart+ Boosts Spending, Cisco Focuses on AI

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<v Speaker 1>From Marhart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 3>I'm Caroline Heidet Bloomberg's Weld head quarters in.

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<v Speaker 4>New York, and I'm Ed Ludlow in San Francisco. This

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<v Speaker 4>is Bloomberg Technology.

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<v Speaker 5>Coming up.

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<v Speaker 3>We'll get the read on the state of the e

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<v Speaker 3>commerce consumer as we break down the early from Walmart

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<v Speaker 3>for strong online.

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<v Speaker 4>Growth plus the largest maker of computer networking equipment making

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<v Speaker 4>headway in AI and security technology.

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<v Speaker 6>We break down Cisco's results.

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<v Speaker 3>Meanwhile, Adien eraising twenty billion dollars of market value in

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<v Speaker 3>one day alone after posting the slowest revenue growth since

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<v Speaker 3>that European payments giants IPO.

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<v Speaker 4>Here in the US, two names that we're watching in

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<v Speaker 4>the yearnings context. The first the AI story Cisco benefiting

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<v Speaker 4>booking five hundred million dollars of sales already on its

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<v Speaker 4>AI products. Growth slowing, but the street seems to light

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<v Speaker 4>the forecast. We're going to get details from our editors

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<v Speaker 4>in the next block. Walmart now down one point six

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<v Speaker 4>percent second consecutive quarter where the outlook's been raised. But

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<v Speaker 4>here's the one for me. E Commerce sales in the

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<v Speaker 4>quarter jumped twenty four percent. This is an e commerce

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<v Speaker 4>story of Walmart. So let's get more details. Bringing Bloomberg's

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<v Speaker 4>Brendan Case, who covers Walmart for US out of Dallas.

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<v Speaker 4>Brendan just run us through the top line of these earnings.

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<v Speaker 7>Yeah, so the big picture for Walmart is that they

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<v Speaker 7>easily surpassed Wall Streets estimates for the second quarter. Little

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<v Speaker 7>bit light on the third quarter forecast, so I think

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<v Speaker 7>that's probably why shares are down. Another reason is that

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<v Speaker 7>there's just been so much enthusiasm about Walmart this year

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<v Speaker 7>that anything less than perfect is going to hurt their share.

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<v Speaker 7>Dropping down to e commerce though, that was a real

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<v Speaker 7>bright spot, up twenty four percent, and that's the second

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<v Speaker 7>grade quarter of really strong.

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<v Speaker 6>Growth in that regard.

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<v Speaker 7>So definitely a big, a big point of pride for

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<v Speaker 7>Walmart there.

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<v Speaker 3>Yeah, Brandon just talked to us about what they're doing

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<v Speaker 3>right here. Is it that they're gaining market share, Is

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<v Speaker 3>it they're able to claw more e commerce box of

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<v Speaker 3>their own customer already, or they're peeling it away from Amazon.

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<v Speaker 7>So there's a couple a couple of different things to

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<v Speaker 7>sort of unpack there, and one of them is something

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<v Speaker 7>that doesn't have anything to do with with placing orders

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<v Speaker 7>for groceries. It's advertising, which is included in their e

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<v Speaker 7>commerce business. Walmart has a big, multi billion dollar advertising

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<v Speaker 7>business that in all respects except for one, is you know,

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<v Speaker 7>big and successful. The one way in which it isn't

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<v Speaker 7>is that it still dramatically trails Amazon. So, you know,

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<v Speaker 7>boosting that business is a big priority for Walmart. They're

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<v Speaker 7>doing it, but they still have a long way to go.

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<v Speaker 7>And then if you sort of twitch to the shopper side,

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<v Speaker 7>what you're seeing a couple interesting trends there. You're seeing

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<v Speaker 7>strong growth in drive up, you know, people going to

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<v Speaker 7>the store to pick up online orders. But you're also

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<v Speaker 7>seeing growth which actually surpassed driver up this quarter, in delivery,

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<v Speaker 7>So you're getting more and more customers who are tapping

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<v Speaker 7>into the delivery options that Walmart offers.

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<v Speaker 4>Brendan, you and I wrote a story almost a year

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<v Speaker 4>ago now together about how Walmart does have nearly as

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<v Speaker 4>many shelf pickers for online orders as it does you

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<v Speaker 4>know people working in physical stores. Do we get any

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<v Speaker 4>sense from the call about structurally how Walmart's adjusting its

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<v Speaker 4>business for this kind of surge and e commerce demand

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<v Speaker 4>that you outline twenty four percent jump in the quarter.

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<v Speaker 7>Yeah, they give a bit of an update on their

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<v Speaker 7>supply chain efforts, and so what they're trying to do

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<v Speaker 7>is they've got a lot more automation going to their

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<v Speaker 7>big distribution centers. The other thing they're doing is they're

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<v Speaker 7>starting to build out what they call fulfillment centers, which

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<v Speaker 7>are inside stores but not visible to customers. And what

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<v Speaker 7>they're designed to do is get a lot of the

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<v Speaker 7>product pickers out of the aisles and have a dedicated

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<v Speaker 7>part of the store that is designed to send stuff

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<v Speaker 7>out to customers. What you're going to see in the

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<v Speaker 7>coming years as that ramps up is just a bigger

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<v Speaker 7>and bigger capability.

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<v Speaker 1>To do that delivery.

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<v Speaker 7>It looks based on the second quarter results like there

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<v Speaker 7>is a lot of demand for that, but time will tell.

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<v Speaker 3>Brendan great analysis. We thank you so much, Brendan, case

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<v Speaker 3>of course of Bloomberg. Meanwhile, we want to dig into

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<v Speaker 3>some of the advertising flare that Brendan was just outlining

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<v Speaker 3>there and ultimately how Walmart is digging up its e

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<v Speaker 3>commerce proess. Alistair Macleanforman's with a CEO of Tigametrics is

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<v Speaker 3>the leading optimization platform for marketplace brands ten million dollars

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<v Speaker 3>plus in total annual ad sales optimized. And I know,

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<v Speaker 3>you know Walmart intimately Alistair what in the playbook.

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<v Speaker 5>Is really working for them?

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<v Speaker 3>How are they managing to lure over new brands for example.

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<v Speaker 8>Well, they're brilliant results.

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<v Speaker 9>Walmart's certainly gaining share and taken metrics, we're using AI

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<v Speaker 9>to optimize for the largest share of brands selling on.

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<v Speaker 8>Walmart dot com.

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<v Speaker 9>We've got billions of dollars of data, so we knew

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<v Speaker 9>these results would be good. The marketplace seller volume is accelerating.

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<v Speaker 9>They're building a flywheel of selection of thousands of brands,

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<v Speaker 9>and they're turning into a technology powerhouse. They're investing in

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<v Speaker 9>the APIs building a lot of tech to enable AI

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<v Speaker 9>companies just like us to go even faster. And I

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<v Speaker 9>think that's a big part of it, the technology.

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<v Speaker 4>You know, we kick off the show, right Carrie Bloomberg Technology,

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<v Speaker 4>and we start talking about Walmart and some of the

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<v Speaker 4>audience out there going Walmart, what are you talking about?

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<v Speaker 4>But e commerce advertising? And Alistairs just brought in AI. Alistair,

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<v Speaker 4>what's your read on how competent Walmart is in those

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<v Speaker 4>fields relative to Amazon, because in the context of ADS

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<v Speaker 4>or AI, we've been talking about Amazon for a while. Walmart,

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<v Speaker 4>it's a newer conversation.

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<v Speaker 8>Well, are doing very very well. They're investing a ton.

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<v Speaker 9>Seth de Laire is the cro over at Walmart and

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<v Speaker 9>the Walmart Connects segment, that's the Walmart ADS business is

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<v Speaker 9>really growing leaps and bounds in terms of the technology

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<v Speaker 9>and the investment, and you know, they're really moving very quickly,

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<v Speaker 9>very very quickly.

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<v Speaker 4>It's interesting as well, Carrie, consumers in this equation, why

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<v Speaker 4>e commerce jump in the corrider twenty four percent is

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<v Speaker 4>a big move?

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<v Speaker 3>Yeah, and I mean tell us the read on data

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<v Speaker 3>there alistair as to whether, well some of your underlying

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<v Speaker 3>thoughts on whether the consumer is resilient at this moment,

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<v Speaker 3>whether it's just Walmart has got all the right price

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<v Speaker 3>points for any type of consumer in this moment, because

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<v Speaker 3>all of us are trying to read these tea leaves. Yes,

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<v Speaker 3>the numbers look great, but both Target and Walmart sounded

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<v Speaker 3>pretty conservative and indeed a little cautious about the consumer

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<v Speaker 3>right now.

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<v Speaker 2>Yeah.

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<v Speaker 9>I think one of the most interesting things of the

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<v Speaker 9>data we see is the change in the Walmart consumer.

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<v Speaker 9>I think there's this stigma that maybe Walmart is all

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<v Speaker 9>about older shoppers or traditional shoppers, but the growth in

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<v Speaker 9>the modern, younger consumer that's opening up their wallets. They've

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<v Speaker 9>got one of the fastest growing apps on the mobile

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<v Speaker 9>side of things, and there's a really really big play

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<v Speaker 9>around omni channel. The fact that Walmart dot Com can

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<v Speaker 9>really do things that other marketplaces cannot is really really powerful,

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<v Speaker 9>and they can connect the dots between.

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<v Speaker 8>Online and offline, and that's what every brand wants. That

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<v Speaker 8>omni channel player.

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<v Speaker 3>Just remind us how international allmarts as well, because for me,

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<v Speaker 3>it's a purely American name, but no, it's in India,

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<v Speaker 3>it's in Mexico. Were seeing strength. I mean, we will

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<v Speaker 3>as UK three voices here. We all knew it for

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<v Speaker 3>having had Asda at one point.

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<v Speaker 8>Yes, absolutely.

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<v Speaker 1>You know.

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<v Speaker 9>There's of course the flip cart asset they have in India.

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<v Speaker 8>I think what is very very interesting from an international

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<v Speaker 8>perspective is their focus.

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<v Speaker 10>On recruiting and acquiring those marketplace sellers from overseas to

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<v Speaker 10>sell into Warmlot dot com. That was one of the

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<v Speaker 10>biggest drive of Amazon's success in its marketplace the flywheel

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<v Speaker 10>of sellers. So we're seeing Walmart doing a lot globally

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<v Speaker 10>attracting brands from overseas, very very similar to the Amazon playbook,

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<v Speaker 10>and it is suddenly working.

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<v Speaker 4>Alista, if you're an advertiser, why is Walmart an attractive

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<v Speaker 4>option relative to any other e commerce name?

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<v Speaker 8>Well, I can tell you.

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<v Speaker 9>The data that we have is the return on ad

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<v Speaker 9>spend or row ASS, which is the primary metric that

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<v Speaker 9>advertisers use to determine their ROI. Those results on Walmart

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<v Speaker 9>and the Walmart Connect platform are fantastic. It is very

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<v Speaker 9>very profitable to sell and advertise on Walmart dot com

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<v Speaker 9>and really that's what's attracting.

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<v Speaker 8>More and more of sellers coming over.

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<v Speaker 9>It's less competitive, it's more of a greenfield. And as

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<v Speaker 9>I said, the ROI, the row as on ads fund

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<v Speaker 9>is really fasting class and we expect that to continue.

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<v Speaker 4>All right, Alistair MacLean Foreman have taken metrics new name

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<v Speaker 4>to the show. Thank you for joining us here on

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<v Speaker 4>Bloomberg Technology and our Speaking of Walmart, China's Internet regulator

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<v Speaker 4>are reaching out to foreign firms, including the retail giant.

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<v Speaker 4>They plan to discuss ways to navigate Beijing's new data

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<v Speaker 4>security rules in an effort to reassure multinationals worried about

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<v Speaker 4>their ability to operate in China under these latest regulations.

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<v Speaker 3>Earning still thinking fast setstick into Cisco now shares moving

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<v Speaker 3>higher after delivering results that actually pointed to some resiliency

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<v Speaker 3>there and demand. CEO Chuck Robins really focusing on the

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<v Speaker 3>company's AI potential. Who'd have thought it, saying, quote, this

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<v Speaker 3>is a huge opportunity for Cisco. We are laser focused

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<v Speaker 3>on leading and winning in this space.

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<v Speaker 5>Let's get more on the results. Nick Turner's with us,

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<v Speaker 5>and Nick, I.

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<v Speaker 3>Mean, how do they profit, how do they capitalize on

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<v Speaker 3>this AI moment?

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<v Speaker 1>Well, it's still pretty early days.

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<v Speaker 11>I mean they did point to five hundred million dollars

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<v Speaker 11>in sales from AI products. I mean we're talking about

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<v Speaker 11>stuff that sort of helps things speed through the process

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<v Speaker 11>of training large language models and general of AI. So

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<v Speaker 11>just we've been focused a lot on the kind of

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<v Speaker 11>chips that people need to run that from Nvidia and others.

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<v Speaker 1>But obviously network's part of that.

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<v Speaker 11>Networking is part of that equation as well, and they

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<v Speaker 11>expect to sort of be a big player in the space.

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<v Speaker 3>Let's geek out for a moment, because Ed, you're a

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<v Speaker 3>manner gets excited about networking gear, aren't you.

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<v Speaker 4>Yeah, Like you know, Cisco's like the old school name

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<v Speaker 4>is so they can Valley write down in San Jose.

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<v Speaker 4>But the logic's really clear, as all of the hyperscalers

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<v Speaker 4>cloud providers want to offer more compute, they need more

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<v Speaker 4>networking gear for the data centers, and so Cisco like

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<v Speaker 4>sweeps in, like we got it, guys, We're the biggest

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<v Speaker 4>networking gear player.

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<v Speaker 6>No worries.

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<v Speaker 4>And what was interesting though, Nick, is that you look

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<v Speaker 4>at the forecast for the rest of the year, it

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<v Speaker 4>didn't really have much to do with AI. They're kind

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<v Speaker 4>of coming out of a period they were playing catch

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<v Speaker 4>up anyway from the pandemic.

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<v Speaker 11>No, yeah, I mean if you look at their sales

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<v Speaker 11>forecast itself, it looks pretty bad. It's a really terrible

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<v Speaker 11>comparison with the last year of the year they just

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<v Speaker 11>ended because they had this huge backlog that built up

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<v Speaker 11>when there was no supplies available, so sales surged eleven

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<v Speaker 11>percent and now this year they're only going to grow

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<v Speaker 11>at two percent or so. So it's obviously a big comdown.

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<v Speaker 11>But the executives have been like, look, we knew kind

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<v Speaker 11>of this was going to happen, and if you look

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<v Speaker 11>at sort of growth in a more longer term perspective,

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<v Speaker 11>it's not a huge issue.

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<v Speaker 4>We're just entering the first quarter of FIS school twenty

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<v Speaker 4>twenty four, so we just finished FIST school twenty twenty three.

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<v Speaker 6>To a point, Chuck.

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<v Speaker 4>Robbins talks a lot about recurring revenue. Just explain of

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<v Speaker 4>recurring revenue and what Cisco's doing to make money elsewhere.

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<v Speaker 11>Well, so, traditionally, as you said, this was the massive

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<v Speaker 11>networking gear company that could kind of do no wrong

0:11:56.400 --> 0:11:58.200
<v Speaker 11>in the old days of Silicon value, and they would

0:11:58.200 --> 0:12:01.319
<v Speaker 11>sell these systems everybody needed them, you know, big hardware,

0:12:01.360 --> 0:12:04.360
<v Speaker 11>expensive hardware, and maybe they would sell you some software

0:12:04.400 --> 0:12:06.920
<v Speaker 11>with that. The problem is is that it does tend

0:12:06.920 --> 0:12:09.959
<v Speaker 11>to be lumpy, as they say, in terms of the sales,

0:12:10.000 --> 0:12:11.360
<v Speaker 11>like you'll have a lot of sales one quarter and

0:12:11.360 --> 0:12:13.480
<v Speaker 11>then less the next. They're trying to get people more

0:12:13.480 --> 0:12:16.920
<v Speaker 11>on a subscription model, so you're paying a certain amount

0:12:16.960 --> 0:12:19.160
<v Speaker 11>each quarter, and it's just it's more reliable.

0:12:20.840 --> 0:12:24.200
<v Speaker 3>Where are analysts on the view of Cisco. Where is

0:12:25.280 --> 0:12:28.240
<v Speaker 3>a sentiment more broadly on this particular name.

0:12:28.240 --> 0:12:29.200
<v Speaker 5>What's the run up been like.

0:12:30.400 --> 0:12:32.920
<v Speaker 11>Well, I think people have been pretty excited about sort

0:12:32.920 --> 0:12:35.760
<v Speaker 11>of the last year or so and just you know,

0:12:35.840 --> 0:12:38.679
<v Speaker 11>optimistic that this is a you know, if you look

0:12:38.720 --> 0:12:41.000
<v Speaker 11>at a year or a year or you know, the

0:12:41.000 --> 0:12:43.080
<v Speaker 11>past five years or so, it's been a little bit

0:12:43.160 --> 0:12:46.240
<v Speaker 11>inconsistent in general in terms of growth. I think they

0:12:46.320 --> 0:12:48.640
<v Speaker 11>obviously Cisco had this moment in the last year where

0:12:48.640 --> 0:12:51.680
<v Speaker 11>they really were able to you know, turn the engines

0:12:51.720 --> 0:12:55.479
<v Speaker 11>on full throttle, and I think people are more optimistic

0:12:55.520 --> 0:12:58.160
<v Speaker 11>than might be expected about the coming year, even though

0:12:58.160 --> 0:12:59.439
<v Speaker 11>sales are decelerating.

0:13:00.520 --> 0:13:04.280
<v Speaker 4>The final component we wrote about was security as a

0:13:04.559 --> 0:13:06.800
<v Speaker 4>sort of standalone mark of Cisco. Really quick, Nick, what

0:13:06.800 --> 0:13:08.040
<v Speaker 4>did they say about security?

0:13:09.960 --> 0:13:11.800
<v Speaker 11>It was one of those you know, there's three things

0:13:11.800 --> 0:13:16.040
<v Speaker 11>they sort of called out AI, data center security, and

0:13:16.120 --> 0:13:19.400
<v Speaker 11>obviously those are all three huge buzzy things that people

0:13:19.400 --> 0:13:22.640
<v Speaker 11>want to see you growing in, and they said they've

0:13:22.720 --> 0:13:24.960
<v Speaker 11>kind of made progress in all of them. I you know,

0:13:25.080 --> 0:13:26.760
<v Speaker 11>I mean, I don't know if they were quite as

0:13:26.760 --> 0:13:29.400
<v Speaker 11>specific on security in terms of how much progress lately,

0:13:30.440 --> 0:13:33.120
<v Speaker 11>but it's definitely going to be a key thing for them.

0:13:33.400 --> 0:13:34.880
<v Speaker 5>Nick. Great to catch up with you.

0:13:34.920 --> 0:13:37.760
<v Speaker 3>Thank you one of their shunning lights today in terms

0:13:37.760 --> 0:13:40.240
<v Speaker 3>of earnings, all things Cisco mean while coming.

0:13:40.160 --> 0:13:41.880
<v Speaker 5>Up look good all things lobal.

0:13:41.600 --> 0:13:45.400
<v Speaker 3>Smartphone market there is heading for the worst year in

0:13:45.480 --> 0:13:46.240
<v Speaker 3>a decade.

0:13:46.559 --> 0:13:49.160
<v Speaker 5>We'll discuss why. Next to speaking of smartphones.

0:13:48.679 --> 0:13:51.880
<v Speaker 3>Look Apple a big tug on the broader NASDAC and

0:13:51.920 --> 0:13:54.280
<v Speaker 3>as that one hundred today, it's really pulling.

0:13:54.040 --> 0:13:56.959
<v Speaker 5>Down from a points perspective. Disappointing earnings report.

0:13:56.760 --> 0:13:58.960
<v Speaker 3>Goes back a week or so, but really the pressure

0:13:59.000 --> 0:14:00.920
<v Speaker 3>is off this company now to liver it's latest version

0:14:00.960 --> 0:14:03.400
<v Speaker 3>of the iPhone. There's plenty of juicy content on the

0:14:03.440 --> 0:14:06.760
<v Speaker 3>Bloomberg about this about how well in about six weeks time,

0:14:06.840 --> 0:14:08.680
<v Speaker 3>we've got to be eyeing up what the tech gine

0:14:08.720 --> 0:14:10.880
<v Speaker 3>is going to be doing, having reported its third straightcord

0:14:11.000 --> 0:14:14.480
<v Speaker 3>declining sales. We've got some analyst expectations out there, shares

0:14:14.720 --> 0:14:16.599
<v Speaker 3>expected to rise ahead of the event.

0:14:16.440 --> 0:14:17.640
<v Speaker 5>Citing historical data.

0:14:18.200 --> 0:14:20.880
<v Speaker 3>But look tell you what's also not rising ed check

0:14:20.880 --> 0:14:22.240
<v Speaker 3>out what's happening in the world of crypto. I just

0:14:22.240 --> 0:14:23.920
<v Speaker 3>want to shine a light and that really just before

0:14:23.960 --> 0:14:26.240
<v Speaker 3>the show, we took another leg lower on the world

0:14:26.280 --> 0:14:29.600
<v Speaker 3>of bitcoin. And this is more about market sentiment. This

0:14:29.720 --> 0:14:32.880
<v Speaker 3>is more about bomb markets, selling off yields, driving higher

0:14:32.920 --> 0:14:34.240
<v Speaker 3>the dollar in focus.

0:14:36.960 --> 0:14:39.520
<v Speaker 6>Yeah, rate concerns the top story. This is Bloomberg.

0:14:50.160 --> 0:14:52.640
<v Speaker 4>Let's get your daily dose of talking tech. First up,

0:14:52.640 --> 0:14:56.320
<v Speaker 4>Global smartphone shipments ahead for their worst year in over

0:14:56.360 --> 0:14:59.720
<v Speaker 4>a decade. Shipments expected to drop six percent year over year,

0:15:00.000 --> 0:15:03.200
<v Speaker 4>according to the latest Counterpoint Research estimate. That's due to

0:15:03.200 --> 0:15:06.880
<v Speaker 4>a disappointing demand, particularly in the US, but a deteriorating

0:15:07.200 --> 0:15:10.560
<v Speaker 4>Chinese economy plus a smartphone sales dwindle. The top three

0:15:10.720 --> 0:15:14.360
<v Speaker 4>US wireless carrier carriers have lost billions in revenue. AT

0:15:14.440 --> 0:15:17.800
<v Speaker 4>and T, T Mobile, and Verizon have collectively lost nearly

0:15:17.880 --> 0:15:21.000
<v Speaker 4>five billion dollars in equipment sales over the past twelve

0:15:21.000 --> 0:15:23.000
<v Speaker 4>months compared to the previous year.

0:15:23.040 --> 0:15:24.440
<v Speaker 6>And it's not just smartphones.

0:15:24.680 --> 0:15:28.720
<v Speaker 4>The world's biggest PC maker, Lenovo, missed profit estimates for

0:15:28.760 --> 0:15:32.520
<v Speaker 4>the second quarter, underscoring the depth of the global electronics

0:15:32.560 --> 0:15:33.440
<v Speaker 4>market downturn.

0:15:33.560 --> 0:15:36.280
<v Speaker 3>Caroline, I mean, let's just talk about missing expectations for

0:15:36.320 --> 0:15:38.440
<v Speaker 3>a moment. Ed We're going to pivot away to Europe

0:15:38.600 --> 0:15:42.240
<v Speaker 3>because Adian wiping out more than thirteen billion, in fact,

0:15:42.280 --> 0:15:44.760
<v Speaker 3>I think it's twenty in the end market value falling

0:15:44.800 --> 0:15:47.600
<v Speaker 3>over as you'll see thirty almost forty percent in a

0:15:47.640 --> 0:15:50.560
<v Speaker 3>training day after missing first half revenue estimates. For more

0:15:50.640 --> 0:15:53.600
<v Speaker 3>on the Dutch payment processing company and on the competition

0:15:53.640 --> 0:15:56.080
<v Speaker 3>that's probably rife over here in the US, bloombergs Henry

0:15:56.120 --> 0:15:58.040
<v Speaker 3>Wren is joining us as well as Sarah Jacob is

0:15:58.120 --> 0:16:00.720
<v Speaker 3>brilliant to have you both with us, And I mean,

0:16:00.960 --> 0:16:04.080
<v Speaker 3>first and foremost, Sarah, you cover the company from a

0:16:04.120 --> 0:16:06.240
<v Speaker 3>real focal point over there in Amsterdam.

0:16:06.440 --> 0:16:08.200
<v Speaker 5>What did you make of these numbers?

0:16:08.240 --> 0:16:10.840
<v Speaker 3>Why was it such a shock this sort of focus

0:16:10.880 --> 0:16:13.920
<v Speaker 3>for growth instead of profitability and obvious with everyone else.

0:16:15.080 --> 0:16:16.120
<v Speaker 12>Yes, that's right.

0:16:16.240 --> 0:16:19.360
<v Speaker 13>So Adune reported earnings for the first half that bes

0:16:19.360 --> 0:16:24.640
<v Speaker 13>testaments on both revenue and margins. It boasted its slowest

0:16:24.680 --> 0:16:27.840
<v Speaker 13>net revenue growth since it was listed, and the company

0:16:27.880 --> 0:16:32.440
<v Speaker 13>attributed this to a weaker economic climate with higher interest rates, inflation,

0:16:32.560 --> 0:16:37.040
<v Speaker 13>and particularly increased price competition in North America. The other

0:16:37.080 --> 0:16:39.440
<v Speaker 13>thing with Adian is that they continue to hire, and

0:16:39.480 --> 0:16:43.040
<v Speaker 13>they had about five hundred and fifty employees or so

0:16:43.200 --> 0:16:45.320
<v Speaker 13>in the first half, and that too has weighed on

0:16:45.440 --> 0:16:46.560
<v Speaker 13>margins the first half.

0:16:47.680 --> 0:16:50.400
<v Speaker 4>Henry, let's bring the shares up and talk about this

0:16:50.480 --> 0:16:53.600
<v Speaker 4>big drop. What's the Street saying because forty percent drop

0:16:53.720 --> 0:16:55.160
<v Speaker 4>essentially biggest drop on record.

0:16:56.280 --> 0:16:57.040
<v Speaker 1>Yeah, definitely.

0:16:57.120 --> 0:17:00.320
<v Speaker 14>So when you think about a growth stock like and

0:17:00.360 --> 0:17:02.840
<v Speaker 14>the scariest moment that you can have is when the

0:17:02.960 --> 0:17:05.320
<v Speaker 14>three things that it's no longer a growth stock. So

0:17:05.720 --> 0:17:08.080
<v Speaker 14>we saw these kind of things happening with Mata before

0:17:08.119 --> 0:17:12.600
<v Speaker 14>the Facebook parent when it's flagship at Apps hit the bump,

0:17:13.080 --> 0:17:15.000
<v Speaker 14>and we see this kind of thing is happening with

0:17:15.080 --> 0:17:19.280
<v Speaker 14>Alien for sure as well, because we saw North American

0:17:19.320 --> 0:17:24.080
<v Speaker 14>revenue the growth actually halved during the first half. Now,

0:17:24.320 --> 0:17:28.680
<v Speaker 14>so the issue is because we have seen several quotas

0:17:28.840 --> 0:17:32.119
<v Speaker 14>so adding and missed earnings sessments, but it's the first

0:17:32.119 --> 0:17:35.040
<v Speaker 14>time that we've seen seen its IPO that it missed

0:17:35.640 --> 0:17:39.960
<v Speaker 14>processing revenue estimates, processing volume estimate as well. And it's

0:17:40.000 --> 0:17:42.480
<v Speaker 14>not just a myss, it's a miss of eight percent.

0:17:42.920 --> 0:17:45.960
<v Speaker 14>So the question is whether the company can revive its growth.

0:17:45.960 --> 0:17:49.160
<v Speaker 14>We know the company has reiterated its medium term guidance,

0:17:49.440 --> 0:17:52.280
<v Speaker 14>but there is now some concerns on whether the company

0:17:52.280 --> 0:17:56.719
<v Speaker 14>can achieve it's growth trajectory anymore given the competition, especially

0:17:56.760 --> 0:17:57.640
<v Speaker 14>in the US.

0:17:57.480 --> 0:18:00.960
<v Speaker 3>And Sarah dwell on that for a moment, they have

0:18:01.160 --> 0:18:04.919
<v Speaker 3>spoken out about this being this hiring, this focus on

0:18:05.040 --> 0:18:07.320
<v Speaker 3>growth still, which is at honest with basically everyone else

0:18:07.359 --> 0:18:10.119
<v Speaker 3>in the market. It's the longer term potential here. But

0:18:11.119 --> 0:18:13.360
<v Speaker 3>is this a cultural focus that they've got at the moment,

0:18:13.400 --> 0:18:15.280
<v Speaker 3>the fact they want to be hiring in this market.

0:18:15.440 --> 0:18:17.960
<v Speaker 3>How do you think they managed to convince investors?

0:18:18.840 --> 0:18:22.080
<v Speaker 13>Well, Adian has been very vocal about the fact that

0:18:22.119 --> 0:18:25.480
<v Speaker 13>they are in an investment mode. They're preparing the company

0:18:25.520 --> 0:18:28.800
<v Speaker 13>for the next growth phase. I mean they are. They

0:18:28.920 --> 0:18:33.359
<v Speaker 13>listed only a few years back. So they hired about

0:18:33.920 --> 0:18:36.480
<v Speaker 13>two hundred employees last year and they expect to hire

0:18:36.520 --> 0:18:39.200
<v Speaker 13>a similar amount this year. So as I said, about

0:18:39.240 --> 0:18:41.960
<v Speaker 13>five hundred and fifty fifty one employees in the first

0:18:41.960 --> 0:18:46.080
<v Speaker 13>half itself. So the company has has said that this

0:18:46.119 --> 0:18:49.000
<v Speaker 13>is their focus, although they did mention that they will

0:18:49.040 --> 0:18:50.840
<v Speaker 13>slow down hiring from next year.

0:18:51.200 --> 0:18:52.320
<v Speaker 14>So yes, it is.

0:18:52.359 --> 0:18:55.240
<v Speaker 13>It is in contrast with a lot of their peers

0:18:55.280 --> 0:18:58.919
<v Speaker 13>who have announced job cuts in the past year or so.

0:19:00.000 --> 0:19:02.960
<v Speaker 4>All right, Bloomberg's Henry Rahn and Sarah Jacobut in Amsterdam,

0:19:03.040 --> 0:19:05.920
<v Speaker 4>thank you so much, carry team coverage. But the reason

0:19:05.920 --> 0:19:08.400
<v Speaker 4>I love this story is we're talking about a European

0:19:08.440 --> 0:19:09.680
<v Speaker 4>tech name that's quite big.

0:19:10.040 --> 0:19:11.520
<v Speaker 6>You read Henry's street rap.

0:19:11.560 --> 0:19:14.399
<v Speaker 4>What they're worried about is that it's not competing against

0:19:14.440 --> 0:19:17.359
<v Speaker 4>the big US names for merchants attention.

0:19:17.680 --> 0:19:20.200
<v Speaker 3>And whether or not they're just not willing to fight

0:19:20.280 --> 0:19:22.439
<v Speaker 3>on a price perspective at the moment, whether or not

0:19:22.480 --> 0:19:25.439
<v Speaker 3>it's there, are they actually losing customers, customers that just

0:19:25.480 --> 0:19:27.720
<v Speaker 3>are using them a little bit less, they're not, of course,

0:19:27.760 --> 0:19:29.720
<v Speaker 3>in this economic environment, as willing to be.

0:19:29.680 --> 0:19:31.440
<v Speaker 5>Paying up for their higher priced products.

0:19:31.560 --> 0:19:34.680
<v Speaker 3>It's really interesting as to also how the competition coalesces,

0:19:34.760 --> 0:19:37.080
<v Speaker 3>of course, all eyes and what is the still private

0:19:37.160 --> 0:19:40.359
<v Speaker 3>juggernaut that is Stripe and how much they managed to

0:19:40.359 --> 0:19:41.560
<v Speaker 3>take in terms of market share.

0:19:42.160 --> 0:19:44.600
<v Speaker 4>Yeah, but a commitment to hiring while the US peers

0:19:44.600 --> 0:19:56.520
<v Speaker 4>are trimming jobs was quite interesting. Welcome back to Bloomberg Technology,

0:19:56.600 --> 0:19:58.560
<v Speaker 4>Ed love loow here in San Francisco.

0:19:58.080 --> 0:19:59.239
<v Speaker 5>And I'm Karenine hiding New York.

0:19:59.280 --> 0:20:01.239
<v Speaker 3>Let'stig into the mark it halfway through this trading day

0:20:01.280 --> 0:20:03.879
<v Speaker 3>and actually, well then as that one hundred, the bigger

0:20:03.880 --> 0:20:07.080
<v Speaker 3>benchmark of the mighty powers of technology, actually you sort

0:20:07.080 --> 0:20:09.960
<v Speaker 3>of trading flat. We've seen the Nasdaq more broadly, the

0:20:09.960 --> 0:20:13.600
<v Speaker 3>benchmark under pressure today. Sentiment has been changing. We're worrying about, well,

0:20:13.640 --> 0:20:16.120
<v Speaker 3>the backup in yeals, the tenure yield is up six

0:20:16.680 --> 0:20:19.040
<v Speaker 3>call it five to six basis points at the moment

0:20:19.080 --> 0:20:21.359
<v Speaker 3>on the ten uere we really have seen this sudden

0:20:21.359 --> 0:20:23.320
<v Speaker 3>shift higher in terms of longer term rates.

0:20:23.359 --> 0:20:25.800
<v Speaker 5>How far they're going much higher? And indeed, well.

0:20:25.640 --> 0:20:28.600
<v Speaker 3>That signals about the Federal Reserve because well, this resilient

0:20:28.720 --> 0:20:31.000
<v Speaker 3>US economy means perhaps they have to keep those rates

0:20:31.040 --> 0:20:31.680
<v Speaker 3>higher for longer.

0:20:31.680 --> 0:20:32.879
<v Speaker 5>What does that mean for risk assets?

0:20:32.880 --> 0:20:35.120
<v Speaker 3>Well, what it means so this risk asset, which is bitcoin,

0:20:35.520 --> 0:20:37.560
<v Speaker 3>is down for the day. In fact, we're breaking through

0:20:37.600 --> 0:20:40.680
<v Speaker 3>that level that we've sustained for the last couple of weeks.

0:20:40.720 --> 0:20:43.160
<v Speaker 3>The fact that we're now sub twenty eight thousand, we've

0:20:43.200 --> 0:20:45.359
<v Speaker 3>really been in this trading range and now we break

0:20:45.600 --> 0:20:48.400
<v Speaker 3>to the lowest in two months for bitcoin overall. Moving

0:20:48.480 --> 0:20:50.520
<v Speaker 3>on to some individual names, because the reason the NASA

0:20:50.560 --> 0:20:52.879
<v Speaker 3>one hundred is perhaps just managing to poke into the

0:20:52.920 --> 0:20:55.760
<v Speaker 3>green is one individual mover that I'll finish on. But first,

0:20:55.960 --> 0:20:58.919
<v Speaker 3>Apple a tug lower in terms of points on some

0:20:58.960 --> 0:21:01.200
<v Speaker 3>of the main benchmarks by a percentage point.

0:21:01.200 --> 0:21:01.320
<v Speaker 6>Ok.

0:21:01.640 --> 0:21:04.439
<v Speaker 3>We're all worrying about really how they can stimulate and

0:21:04.520 --> 0:21:07.280
<v Speaker 3>drive forward growth, particularly of iPhone sales after their recent

0:21:07.320 --> 0:21:10.800
<v Speaker 3>earnings disappointed. New Bank China light on well this particular player,

0:21:10.840 --> 0:21:14.720
<v Speaker 3>of course, over in Latin America a key fintech focus

0:21:14.800 --> 0:21:17.400
<v Speaker 3>on new banking, of course, were by five percent. Why

0:21:17.440 --> 0:21:19.399
<v Speaker 3>will the founder, the co founder and the CEO is

0:21:19.400 --> 0:21:21.480
<v Speaker 3>actually selling out some of his steak about three percent,

0:21:21.720 --> 0:21:24.400
<v Speaker 3>So we dive lower on this particular company. Cisco up

0:21:24.520 --> 0:21:27.240
<v Speaker 3>more than four percent. Ed this we outlined already the

0:21:27.359 --> 0:21:30.280
<v Speaker 3>numbers looking good. AI already half a billion dollars worth

0:21:30.280 --> 0:21:30.879
<v Speaker 3>of sales ed.

0:21:31.800 --> 0:21:35.200
<v Speaker 4>Yeah, Cisco really a story about the corporate world down

0:21:35.240 --> 0:21:36.480
<v Speaker 4>the chain investing in AI.

0:21:36.560 --> 0:21:38.280
<v Speaker 6>But what about the labor market? Let me bring you

0:21:38.280 --> 0:21:38.880
<v Speaker 6>this one.

0:21:39.040 --> 0:21:43.240
<v Speaker 4>A new survey finds that many Americans say automation could

0:21:43.320 --> 0:21:47.560
<v Speaker 4>easily replace their jobs. Younger workers, particularly black people and

0:21:47.680 --> 0:21:52.000
<v Speaker 4>Hispanic Americans, feel most threatened by AI in the workplace

0:21:52.280 --> 0:21:56.200
<v Speaker 4>compared to white counterparts. Some three quarters of those polled

0:21:56.680 --> 0:22:00.080
<v Speaker 4>expect increased use of automation and AI to lead to

0:22:00.160 --> 0:22:03.600
<v Speaker 4>more unemployment, with women more inclined to see that than men.

0:22:03.720 --> 0:22:06.520
<v Speaker 4>That said, the pole also found that most Americans believe

0:22:06.760 --> 0:22:09.800
<v Speaker 4>the increased use of the technology will generally be a

0:22:09.840 --> 0:22:12.359
<v Speaker 4>good thing for workers. So some slight contradiction in that

0:22:12.480 --> 0:22:13.000
<v Speaker 4>data set.

0:22:13.160 --> 0:22:15.679
<v Speaker 3>Yeah, wow, I mean it just outlines though, doesn't it

0:22:15.760 --> 0:22:18.360
<v Speaker 3>end that there are anxieties deep but there are also

0:22:18.359 --> 0:22:19.760
<v Speaker 3>so many opportunities.

0:22:19.240 --> 0:22:20.800
<v Speaker 5>When it comes to artificial intelligence.

0:22:20.800 --> 0:22:22.800
<v Speaker 3>And in fact, we've got the perfect guest to talk

0:22:22.840 --> 0:22:24.360
<v Speaker 3>around that anun mentionals with us.

0:22:24.440 --> 0:22:25.480
<v Speaker 5>The CEO of Arthur.

0:22:26.080 --> 0:22:28.359
<v Speaker 3>It's a company that focuses on ensuring that these AI

0:22:28.440 --> 0:22:31.840
<v Speaker 3>systems that many people are worrying about are actually well managed,

0:22:31.880 --> 0:22:35.120
<v Speaker 3>that they're deployed responsibly. And you've got this new tool

0:22:35.160 --> 0:22:38.240
<v Speaker 3>right that's helped and compare the plethora or large language

0:22:38.280 --> 0:22:40.360
<v Speaker 3>models that are out there and see whether they fit

0:22:40.480 --> 0:22:43.760
<v Speaker 3>your business case in particular, and just talk us through well,

0:22:43.840 --> 0:22:47.359
<v Speaker 3>ultimately this anxiety that lays deep that we're just talking about,

0:22:47.440 --> 0:22:52.120
<v Speaker 3>whether you think it's well vindicated, Well, I.

0:22:52.040 --> 0:22:54.520
<v Speaker 15>Think you know, it's very understandable, the anxiety, and when

0:22:54.520 --> 0:22:57.119
<v Speaker 15>you interact with chat, GPT or some of these other systems,

0:22:57.320 --> 0:22:59.960
<v Speaker 15>you really kind of it's breathtaking, right, how human like

0:23:00.080 --> 0:23:01.000
<v Speaker 15>the responses are.

0:23:01.440 --> 0:23:03.120
<v Speaker 1>But fortunately, look, AI has.

0:23:03.040 --> 0:23:06.159
<v Speaker 15>Been being deployed and you know, just a lot in

0:23:06.200 --> 0:23:10.920
<v Speaker 15>the last five years and accelerating every year and unemployments

0:23:10.920 --> 0:23:14.960
<v Speaker 15>still historically low, and there's like, there's very very little

0:23:15.000 --> 0:23:17.760
<v Speaker 15>evidence that AI is taking jobs. It is evolving jobs,

0:23:17.800 --> 0:23:21.400
<v Speaker 15>it's evolving jobs quickly, but there's not mass job loss

0:23:21.400 --> 0:23:24.240
<v Speaker 15>coming from it that's been observed anywhere.

0:23:25.280 --> 0:23:26.960
<v Speaker 6>So we go back to the Cisco story.

0:23:27.000 --> 0:23:30.760
<v Speaker 4>What we know is that companies are investing either way,

0:23:30.840 --> 0:23:34.080
<v Speaker 4>they're thinking about the use of large language models. The

0:23:34.080 --> 0:23:36.639
<v Speaker 4>way that I see Arthur bench your product is like

0:23:36.680 --> 0:23:39.280
<v Speaker 4>when I'm buying a new laptop, right, I go into

0:23:39.359 --> 0:23:42.840
<v Speaker 4>a grid side by side, I compare processing power, I

0:23:42.920 --> 0:23:47.960
<v Speaker 4>compare the memory, I compare operating system. You're basically offering

0:23:48.000 --> 0:23:52.520
<v Speaker 4>the equivalent for companies to choose the best LM for them.

0:23:52.640 --> 0:23:53.280
<v Speaker 1>Yeah. Absolutely.

0:23:53.320 --> 0:23:55.480
<v Speaker 15>I think the important thing is that you're allowed you

0:23:55.480 --> 0:23:57.440
<v Speaker 15>can you can test it on exactly what you want

0:23:57.440 --> 0:23:59.040
<v Speaker 15>to do with it, right, And so the way you

0:23:59.119 --> 0:24:01.879
<v Speaker 15>use your laptop is different from maybe the way you know,

0:24:01.920 --> 0:24:04.480
<v Speaker 15>the way my high schooler does or the way my

0:24:04.600 --> 0:24:06.480
<v Speaker 15>father does, and so you want to know how this

0:24:06.560 --> 0:24:07.560
<v Speaker 15>is going to perform for me.

0:24:07.880 --> 0:24:11.000
<v Speaker 1>And so I have like my own kind of proprietary data.

0:24:10.680 --> 0:24:12.439
<v Speaker 15>That I want to feed into the LM, and I

0:24:12.480 --> 0:24:14.800
<v Speaker 15>want to ask it certain types of questions, put certain

0:24:14.840 --> 0:24:16.720
<v Speaker 15>types of prompts in that, and there's a lot of

0:24:16.720 --> 0:24:19.280
<v Speaker 15>really nuanced differences that can't be reduced down to just

0:24:19.359 --> 0:24:21.000
<v Speaker 15>a single number on a leaderboard.

0:24:21.080 --> 0:24:23.240
<v Speaker 1>And so that's where Arthur Bench comes in. Allows people

0:24:23.240 --> 0:24:24.560
<v Speaker 1>to really test.

0:24:24.359 --> 0:24:26.640
<v Speaker 15>Like the kinds of prompts that their users are providing

0:24:26.760 --> 0:24:29.120
<v Speaker 15>with their data and see how it performs.

0:24:30.280 --> 0:24:34.119
<v Speaker 4>No l l M Caroline Large language model, it's just

0:24:34.119 --> 0:24:37.560
<v Speaker 4>become a blanket term. But there's such variation between so

0:24:37.680 --> 0:24:40.919
<v Speaker 4>that the multiple billions of parameters large language model and

0:24:41.000 --> 0:24:42.160
<v Speaker 4>something for everyone out there.

0:24:42.280 --> 0:24:44.199
<v Speaker 3>Yeah, and I mean, I'll go back to when you

0:24:44.200 --> 0:24:46.840
<v Speaker 3>and I first started doing the show together as November

0:24:46.880 --> 0:24:49.480
<v Speaker 3>and what came out the gate but chat GPT that

0:24:49.600 --> 0:24:52.399
<v Speaker 3>really seemed to set the world alight. And and to

0:24:52.440 --> 0:24:54.800
<v Speaker 3>that point, you know, when you're looking at the nuances

0:24:54.800 --> 0:24:57.400
<v Speaker 3>within the large language models, how are we seeing them

0:24:57.400 --> 0:25:00.119
<v Speaker 3>differentiated in particular? For example, it feels like anthrop make

0:25:00.200 --> 0:25:02.040
<v Speaker 3>us on a bit of a role recently with Claude two.

0:25:03.119 --> 0:25:05.639
<v Speaker 1>Yeah, Cloud two has been been great in our testing.

0:25:05.720 --> 0:25:08.320
<v Speaker 15>It's doing a good job of not you know, not

0:25:08.760 --> 0:25:11.000
<v Speaker 15>answering questions when it should be answering questions and not

0:25:11.040 --> 0:25:14.680
<v Speaker 15>answering when it doesn't know the answer, and so there's

0:25:14.800 --> 0:25:16.360
<v Speaker 15>you know, that can be very important.

0:25:16.800 --> 0:25:18.840
<v Speaker 1>Yeah. Cloud two definitely performs suppressively.

0:25:19.200 --> 0:25:21.240
<v Speaker 15>You know, there's also we see big differences in terms

0:25:21.320 --> 0:25:23.959
<v Speaker 15>of the way they hedge, for instance, and so some

0:25:24.000 --> 0:25:26.360
<v Speaker 15>of the models are much more likely to not want

0:25:26.359 --> 0:25:29.159
<v Speaker 15>to answer a question and to to say, hey, I'm.

0:25:29.000 --> 0:25:31.080
<v Speaker 1>An ll M, I shouldn't be answering this, or it's

0:25:31.119 --> 0:25:31.720
<v Speaker 1>not my place.

0:25:31.760 --> 0:25:34.200
<v Speaker 15>And so depending on the application, that may be appropriate

0:25:34.320 --> 0:25:36.359
<v Speaker 15>or it may be a big drawback. And so that's

0:25:36.440 --> 0:25:38.679
<v Speaker 15>that's why those are some of the differences that we

0:25:39.000 --> 0:25:41.680
<v Speaker 15>that are testing our tool can tease out for people.

0:25:42.960 --> 0:25:48.600
<v Speaker 4>Adam, how do we democratize AI technology access to it

0:25:48.680 --> 0:25:50.960
<v Speaker 4>so that we look like lower the threshold right where

0:25:50.960 --> 0:25:53.840
<v Speaker 4>you don't need to have control of all the Nvidio

0:25:54.000 --> 0:25:57.200
<v Speaker 4>H one, hundreds or billions of dollars for the training.

0:25:57.240 --> 0:25:58.159
<v Speaker 6>How does that happen?

0:25:59.680 --> 0:26:02.080
<v Speaker 15>Yeah, absolutely, it's a big concern right now access to

0:26:02.480 --> 0:26:05.520
<v Speaker 15>that hardware, both the expense and just the availability of it.

0:26:05.720 --> 0:26:09.080
<v Speaker 15>I think fortunately these systems will become more efficient over time,

0:26:09.200 --> 0:26:12.200
<v Speaker 15>and you know there are other vendors who are starting

0:26:12.200 --> 0:26:14.879
<v Speaker 15>to make hardware more capacity coming online it's going to

0:26:14.920 --> 0:26:18.160
<v Speaker 15>take a little while until that happens. But the nice

0:26:18.160 --> 0:26:20.520
<v Speaker 15>thing with open source models is you can get a

0:26:20.560 --> 0:26:23.560
<v Speaker 15>pre trained model that you can either just use or modify.

0:26:23.920 --> 0:26:26.240
<v Speaker 15>And so you know what Facebook's done with Lama V

0:26:26.320 --> 0:26:29.119
<v Speaker 15>two and a number of other people have done with

0:26:29.560 --> 0:26:32.679
<v Speaker 15>the open release of these models, that's really put them

0:26:32.680 --> 0:26:34.120
<v Speaker 15>in the hands of a lot of people who might

0:26:34.160 --> 0:26:35.520
<v Speaker 15>not have had access to them before.

0:26:36.640 --> 0:26:40.840
<v Speaker 4>Can often make money with this business model, particularly if

0:26:40.840 --> 0:26:43.200
<v Speaker 4>we move towards an increasingly open sourced world.

0:26:44.480 --> 0:26:44.680
<v Speaker 1>Yeah.

0:26:44.680 --> 0:26:47.920
<v Speaker 15>Absolutely, Look, there are things that we do that are proprietary,

0:26:48.040 --> 0:26:51.760
<v Speaker 15>like our ability to detect and block hallucinations, and so

0:26:52.160 --> 0:26:54.160
<v Speaker 15>not everything we do is open source, but in this case,

0:26:54.160 --> 0:26:56.679
<v Speaker 15>we just felt it was really important because this is

0:26:56.760 --> 0:27:00.359
<v Speaker 15>sort of feeling confident that you're making the right choice

0:27:00.359 --> 0:27:02.679
<v Speaker 15>about your system and that you that you're that you

0:27:02.680 --> 0:27:04.560
<v Speaker 15>can put it out in production when trust that it

0:27:04.600 --> 0:27:07.440
<v Speaker 15>goes well is a major impediment for a lot of people,

0:27:07.440 --> 0:27:09.439
<v Speaker 15>and we really saw it slowing down people in the

0:27:09.440 --> 0:27:11.639
<v Speaker 15>process of the point. And ultimately what's good for us

0:27:11.800 --> 0:27:14.119
<v Speaker 15>is for as many people as possible to put these

0:27:14.160 --> 0:27:17.200
<v Speaker 15>systems into production so that we can protect and monitor

0:27:17.240 --> 0:27:19.800
<v Speaker 15>them and so Uh, the reason we open source this

0:27:19.920 --> 0:27:22.600
<v Speaker 15>is just to sort of accelerate people's ability to deploy

0:27:22.680 --> 0:27:25.480
<v Speaker 15>these these tools in a in a responsible way in

0:27:25.720 --> 0:27:26.360
<v Speaker 15>an enterprise.

0:27:27.119 --> 0:27:30.480
<v Speaker 3>Ultimately, though your own business of Arthur is about making

0:27:30.520 --> 0:27:33.800
<v Speaker 3>money and you're backed by what index ventures include Capital,

0:27:33.880 --> 0:27:37.080
<v Speaker 3>gray Craft and the like. I'm interested is to the

0:27:37.200 --> 0:27:41.200
<v Speaker 3>groundswell of hype and reality. How much are you seeing

0:27:41.200 --> 0:27:43.960
<v Speaker 3>companies coming to you wanting to get your services, wanting

0:27:44.000 --> 0:27:46.040
<v Speaker 3>to understand where they put their money to work in

0:27:46.080 --> 0:27:46.960
<v Speaker 3>AI l LMS.

0:27:48.080 --> 0:27:48.640
<v Speaker 1>Yeah, it's been.

0:27:48.680 --> 0:27:50.600
<v Speaker 15>It's been unlike anything I've ever seen in my career,

0:27:50.600 --> 0:27:53.000
<v Speaker 15>and I think it's because, you know, chat GPTD is.

0:27:52.960 --> 0:27:54.920
<v Speaker 1>Just so accessible. Anyone can go in and play a

0:27:55.000 --> 0:27:55.560
<v Speaker 1>round and.

0:27:55.560 --> 0:27:58.639
<v Speaker 15>See the the just the power of it, and so

0:27:58.680 --> 0:28:01.000
<v Speaker 15>it's become a bordit levelation to it and everything from

0:28:01.000 --> 0:28:03.639
<v Speaker 15>fortun one hundreds down to every single startup where boards

0:28:03.640 --> 0:28:06.120
<v Speaker 15>are asking the CEO and the CIO what is our

0:28:06.160 --> 0:28:08.840
<v Speaker 15>generative AI strategy and how is it going to transform

0:28:08.880 --> 0:28:12.520
<v Speaker 15>our business? And so that that that sense of urgency

0:28:12.560 --> 0:28:15.360
<v Speaker 15>has cascaded through the organization and so we're seeing all

0:28:15.359 --> 0:28:20.320
<v Speaker 15>sorts of project teams mobilizing and working on you know

0:28:20.520 --> 0:28:22.600
<v Speaker 15>ways to transform some of the key leverage points in

0:28:22.640 --> 0:28:25.080
<v Speaker 15>their business using l MS, and it's been it's just

0:28:25.119 --> 0:28:27.040
<v Speaker 15>been breathtaking to see. And so that's what we you know,

0:28:27.080 --> 0:28:29.320
<v Speaker 15>we we come in a lot of times they call

0:28:29.440 --> 0:28:30.280
<v Speaker 15>us to help them.

0:28:30.160 --> 0:28:32.560
<v Speaker 1>Because it's you know, there is a lot of little

0:28:32.560 --> 0:28:35.000
<v Speaker 1>details that are that collectively are a little bit daunting

0:28:35.000 --> 0:28:36.800
<v Speaker 1>when you're trying to stand up one of these systems.

0:28:36.840 --> 0:28:40.120
<v Speaker 1>Even though ultimately it's pretty accessible.

0:28:39.720 --> 0:28:42.280
<v Speaker 15>Technology, there's certainly a learning curve and we help a

0:28:42.320 --> 0:28:44.280
<v Speaker 15>lot of our customers with that as well as solving

0:28:44.520 --> 0:28:48.880
<v Speaker 15>some of the common deployment challenges around you know, hallucinations

0:28:48.880 --> 0:28:51.600
<v Speaker 15>and prompt injection and leaking sensitive data, things like that.

0:28:52.800 --> 0:28:55.640
<v Speaker 4>Adam Winshew, author see thank you very much for joining

0:28:55.720 --> 0:28:59.520
<v Speaker 4>us here on Bloomboat Technology Now. After his world tour

0:28:59.600 --> 0:29:02.960
<v Speaker 4>to discus us the latest developments in artificial intelligence, open

0:29:03.000 --> 0:29:07.280
<v Speaker 4>AI CEO Sam Altman reflected on the emotional powers of

0:29:07.280 --> 0:29:11.040
<v Speaker 4>the technology and the need for global regulation. Bloomberger Regional's

0:29:11.080 --> 0:29:14.760
<v Speaker 4>host and executive producer Emily Chang spoke to him for

0:29:14.840 --> 0:29:16.760
<v Speaker 4>the latest episode of the circuit.

0:29:17.720 --> 0:29:20.040
<v Speaker 6>Was the goal more listening or explaining.

0:29:20.000 --> 0:29:22.680
<v Speaker 12>The goal was more listening? It ended up with more

0:29:22.720 --> 0:29:27.120
<v Speaker 12>explaining than we expected. We ended up meaning like many

0:29:27.160 --> 0:29:30.360
<v Speaker 12>many war leaders and talked about the sort of the

0:29:30.400 --> 0:29:33.160
<v Speaker 12>need for global regulation, and that was like more explaining

0:29:33.880 --> 0:29:35.719
<v Speaker 12>the listen was provided. I came back with like one

0:29:35.760 --> 0:29:37.320
<v Speaker 12>hundred handwritten pages of notes.

0:29:37.440 --> 0:29:40.040
<v Speaker 5>I heard that you do handwritten what happens to the

0:29:40.080 --> 0:29:40.840
<v Speaker 5>hand written notes?

0:29:40.880 --> 0:29:42.520
<v Speaker 12>But in this case, like I distilled it into like

0:29:42.520 --> 0:29:44.720
<v Speaker 12>here are the top fifty pieces of like feedback from

0:29:44.720 --> 0:29:47.080
<v Speaker 12>our users and what we need to go off and do.

0:29:47.520 --> 0:29:49.080
<v Speaker 12>But there's like a lot of things when you like

0:29:49.160 --> 0:29:51.560
<v Speaker 12>get people in person, like face to face or over

0:29:51.560 --> 0:29:53.760
<v Speaker 12>a drink or whatever what where people really would just

0:29:53.840 --> 0:29:56.520
<v Speaker 12>like say, you know, here is like my very harsh

0:29:56.560 --> 0:29:58.320
<v Speaker 12>feedback on what you're going wrong. And I don't want

0:29:58.360 --> 0:29:58.880
<v Speaker 12>to be different.

0:29:59.240 --> 0:30:00.760
<v Speaker 5>You didn't go to China or Russia.

0:30:00.840 --> 0:30:03.040
<v Speaker 12>I spoke remotely in China, but not Russia.

0:30:04.560 --> 0:30:11.080
<v Speaker 6>Should we be worried about them.

0:30:08.480 --> 0:30:11.400
<v Speaker 5>And where they are on AD or what they're all doing.

0:30:11.400 --> 0:30:14.160
<v Speaker 12>I'd love to know more precisely where they are. That

0:30:14.200 --> 0:30:17.960
<v Speaker 12>would be hopeful. We have I think very imperfect information there.

0:30:18.720 --> 0:30:21.560
<v Speaker 5>So how has chat gipt changed your own behavior?

0:30:22.960 --> 0:30:25.280
<v Speaker 12>There's like a lot of like little ways and then

0:30:25.360 --> 0:30:27.760
<v Speaker 12>kind of like one big thought. The little ways are,

0:30:28.040 --> 0:30:31.280
<v Speaker 12>you know, like on this trip for example, the translation.

0:30:30.960 --> 0:30:31.800
<v Speaker 1>Was like a lifesaver.

0:30:32.720 --> 0:30:35.720
<v Speaker 12>I also use it if I'm trying to like write

0:30:35.760 --> 0:30:38.000
<v Speaker 12>something which I write a lot to never publish, just

0:30:38.120 --> 0:30:40.080
<v Speaker 12>like for my own thinking, and I find that I

0:30:40.120 --> 0:30:43.680
<v Speaker 12>like write faster and can think more somehow, So it's

0:30:43.720 --> 0:30:46.120
<v Speaker 12>like a great unsticking tool.

0:30:46.360 --> 0:30:48.840
<v Speaker 1>But then the big ways I am, I am, I

0:30:49.240 --> 0:30:50.280
<v Speaker 1>see the path.

0:30:50.120 --> 0:30:53.320
<v Speaker 12>Towards like this, just being like my super assistant for

0:30:53.400 --> 0:30:55.200
<v Speaker 12>all of my cognitive.

0:30:54.680 --> 0:30:58.760
<v Speaker 5>Work super assistant. You know, we've talked about relationships with chatbots.

0:30:58.840 --> 0:31:01.000
<v Speaker 6>Did you see this as something people could.

0:31:00.760 --> 0:31:02.000
<v Speaker 1>Get emotionally attached to?

0:31:02.200 --> 0:31:03.440
<v Speaker 5>And how do you feel about that?

0:31:03.760 --> 0:31:06.720
<v Speaker 12>I think language models in general are something that people

0:31:07.600 --> 0:31:12.040
<v Speaker 12>are getting emotionally attached to, And you know, I have

0:31:12.160 --> 0:31:14.760
<v Speaker 12>like a complex set of thoughts about that. I personally

0:31:14.800 --> 0:31:18.600
<v Speaker 12>find it strange. I don't want it for myself. I

0:31:18.640 --> 0:31:20.360
<v Speaker 12>have a lot of concerns. I don't want to be

0:31:20.480 --> 0:31:22.400
<v Speaker 12>like the kind of like people telling other people what

0:31:22.440 --> 0:31:24.600
<v Speaker 12>they can do with tech. But it seems to me

0:31:24.680 --> 0:31:26.360
<v Speaker 12>like something you need to be careful with.

0:31:27.320 --> 0:31:30.160
<v Speaker 3>Open Ai CEO some album with their own Emily Chang,

0:31:30.200 --> 0:31:31.640
<v Speaker 3>you can watch the rest of the interview on the

0:31:31.640 --> 0:31:34.320
<v Speaker 3>circuit with Emily Chang. She also sat down with Microsoft

0:31:34.320 --> 0:31:37.000
<v Speaker 3>CEO sat In Adella on Bluembergo reginals.

0:31:36.600 --> 0:31:38.600
<v Speaker 5>I meanwhile coming up, look, we're going to be breaking down.

0:31:38.600 --> 0:31:43.040
<v Speaker 3>Synopsis is third quarter earnings the CEO after goose from

0:31:43.040 --> 0:31:44.280
<v Speaker 3>New York, from San Francisco.

0:31:44.720 --> 0:31:52.480
<v Speaker 5>This is Broomberg Technology.

0:31:59.160 --> 0:31:59.960
<v Speaker 6>Let's get to snap.

0:32:00.400 --> 0:32:03.840
<v Speaker 4>This is the chip design software maker reporting third quarter results.

0:32:04.120 --> 0:32:08.040
<v Speaker 4>The top testaments raised guidance AI a big part of performance,

0:32:08.240 --> 0:32:11.560
<v Speaker 4>but also announcing that Sezin Ghazi will assume the role

0:32:11.600 --> 0:32:15.920
<v Speaker 4>of president and CEO effective January first, twenty twenty more

0:32:16.560 --> 0:32:19.760
<v Speaker 4>four for more, let's bring in Art to gus synopsis,

0:32:19.880 --> 0:32:24.240
<v Speaker 4>current but outgoing CEO Art Welcome to Bloombog Technology. It

0:32:24.320 --> 0:32:28.440
<v Speaker 4>was interesting, real growth in China. That's where I want

0:32:28.480 --> 0:32:30.959
<v Speaker 4>to start, and I want to start there because no

0:32:30.960 --> 0:32:34.680
<v Speaker 4>one asked you about it on the earnings call. Why

0:32:34.720 --> 0:32:36.320
<v Speaker 4>and how are you growing in China?

0:32:37.360 --> 0:32:40.200
<v Speaker 16>Well, the other the growth was strongest quarter, partially also

0:32:40.240 --> 0:32:44.440
<v Speaker 16>because it was the post COVID quarter and in general

0:32:44.520 --> 0:32:48.640
<v Speaker 16>China has remained strong for US for the last ten years,

0:32:49.480 --> 0:32:52.760
<v Speaker 16>while simultaneously, of course, having certain restrictions on what we

0:32:52.800 --> 0:32:57.200
<v Speaker 16>can do there. But you know, design of chips continues

0:32:57.280 --> 0:32:59.440
<v Speaker 16>everywhere in the world at a very high speed, and

0:32:59.680 --> 0:33:02.640
<v Speaker 16>that's many different in China.

0:33:02.840 --> 0:33:06.160
<v Speaker 4>You booked so far in the year, I think I'm

0:33:06.200 --> 0:33:09.840
<v Speaker 4>right in saying about five hundred million dollars of AI

0:33:10.040 --> 0:33:13.280
<v Speaker 4>sales as well. What is the main driver of that,

0:33:13.880 --> 0:33:17.720
<v Speaker 4>because you essentially create software that is used in the

0:33:17.800 --> 0:33:20.840
<v Speaker 4>chip design process. What is it that's driving the AI

0:33:20.920 --> 0:33:21.959
<v Speaker 4>specific growth.

0:33:22.680 --> 0:33:24.880
<v Speaker 16>Well, you know already for the last few years, if

0:33:24.880 --> 0:33:28.080
<v Speaker 16>you look at the most advanced, most hard driving chips,

0:33:28.480 --> 0:33:30.880
<v Speaker 16>AI is in the middle of that, right, And actually

0:33:30.960 --> 0:33:34.160
<v Speaker 16>in your own reporting you have so much on AI,

0:33:34.280 --> 0:33:39.560
<v Speaker 16>which is all driving the need for much faster, lower power,

0:33:39.920 --> 0:33:44.400
<v Speaker 16>much higher capacity chips, and so the competitiveness of those

0:33:44.680 --> 0:33:48.200
<v Speaker 16>is absolutely essential. That's another way of saying is they

0:33:48.200 --> 0:33:51.040
<v Speaker 16>are the ones that use the most advanced silicon technologies

0:33:51.280 --> 0:33:54.720
<v Speaker 16>and also the most complex architectures. And this is where

0:33:54.800 --> 0:33:58.920
<v Speaker 16>Synopsis is the leader. We do the most advanced chips,

0:33:58.960 --> 0:34:01.360
<v Speaker 16>or we I should say, we support our customers in

0:34:01.400 --> 0:34:04.000
<v Speaker 16>doing the most advanced chips in the world for our

0:34:04.160 --> 0:34:07.560
<v Speaker 16>entire existence. And here's a wave that is just continued

0:34:07.600 --> 0:34:07.920
<v Speaker 16>to grow.

0:34:09.560 --> 0:34:12.880
<v Speaker 4>Caroline, I express surprise that no one asked about China

0:34:13.320 --> 0:34:15.520
<v Speaker 4>because Art is talking about the cutting edge of chip

0:34:15.560 --> 0:34:19.480
<v Speaker 4>technology in that context, which is in a very hard

0:34:19.600 --> 0:34:20.440
<v Speaker 4>environment right now.

0:34:20.520 --> 0:34:25.160
<v Speaker 3>Yeah, that feels politically charged as well. Art, can you

0:34:25.200 --> 0:34:28.719
<v Speaker 3>just talk us through sort of the restrictions, the concerns

0:34:28.760 --> 0:34:32.959
<v Speaker 3>about allowing your very specific software to be used by China.

0:34:33.000 --> 0:34:35.960
<v Speaker 3>When we're worried about the tensions and the AI races,

0:34:36.000 --> 0:34:36.840
<v Speaker 3>it seems to be deemed.

0:34:37.520 --> 0:34:40.120
<v Speaker 16>Yeah, I didn't say that the most advanced AI chips

0:34:40.200 --> 0:34:44.120
<v Speaker 16>come from China. There are many companies that are investing

0:34:44.120 --> 0:34:47.000
<v Speaker 16>in that. Some of the very large semicroductor companies are

0:34:47.000 --> 0:34:49.600
<v Speaker 16>absolutely driving the state of the art, and some of

0:34:49.640 --> 0:34:52.480
<v Speaker 16>the most advanced startups in the world are driving the

0:34:52.520 --> 0:34:56.120
<v Speaker 16>state of the art. And those are the customers that

0:34:56.200 --> 0:34:59.440
<v Speaker 16>first come to us because they very much rely on

0:34:59.480 --> 0:35:02.640
<v Speaker 16>the ability to differentiate. And you know, if there's one

0:35:02.680 --> 0:35:04.560
<v Speaker 16>word I would put on that, the speed of the

0:35:04.640 --> 0:35:07.640
<v Speaker 16>chip determines everything. And if you look at at the

0:35:07.680 --> 0:35:12.000
<v Speaker 16>wave of opportunity that's now coming in via gen AI,

0:35:12.600 --> 0:35:15.480
<v Speaker 16>all of these algorithms initially take a lot of computation,

0:35:16.320 --> 0:35:20.160
<v Speaker 16>and the faster you can make those, the more opportunities

0:35:20.200 --> 0:35:22.520
<v Speaker 16>there are there and so it's one of those those

0:35:22.560 --> 0:35:27.560
<v Speaker 16>wonderful situations where the demand continually exceeds what our customers

0:35:27.560 --> 0:35:31.120
<v Speaker 16>can deliver. I either race is on, and in that race,

0:35:31.200 --> 0:35:33.400
<v Speaker 16>we are key ingredients to the success.

0:35:33.719 --> 0:35:37.280
<v Speaker 3>But many of your I'm sure peers over in Silicon

0:35:37.360 --> 0:35:40.200
<v Speaker 3>Valley are really nervous about that race, and boys the

0:35:40.239 --> 0:35:43.480
<v Speaker 3>administration worried about that race. What sort of contracts do

0:35:43.520 --> 0:35:45.799
<v Speaker 3>you have with China and are you getting any pushback

0:35:46.239 --> 0:35:47.839
<v Speaker 3>in terms of your ability to.

0:35:48.040 --> 0:35:52.759
<v Speaker 16>Sell that Well, you know, it's actually fairly straightforward. The

0:35:53.160 --> 0:35:56.919
<v Speaker 16>rules of engagement are very clear. We follow those absolutely

0:35:57.600 --> 0:36:02.080
<v Speaker 16>to a t. And the issue is more for China

0:36:02.120 --> 0:36:05.040
<v Speaker 16>itself than for us. It's a certain percentage of our

0:36:05.080 --> 0:36:08.600
<v Speaker 16>business that is growing well over time. But notice also

0:36:08.680 --> 0:36:12.000
<v Speaker 16>that we had a very strong quarter in Korea for example.

0:36:12.360 --> 0:36:15.600
<v Speaker 16>We over the year have done well in all parts

0:36:15.920 --> 0:36:19.400
<v Speaker 16>of the world, and so yeah, if there were no restrictions,

0:36:19.400 --> 0:36:22.399
<v Speaker 16>we could probably sell more to China, but we live

0:36:22.480 --> 0:36:26.040
<v Speaker 16>up to those restrictions. What I want to highlight though,

0:36:26.160 --> 0:36:31.080
<v Speaker 16>is every nation today is investing in chip design. And

0:36:31.320 --> 0:36:33.880
<v Speaker 16>I'm sure you're familiar with the US Chips Act, but

0:36:34.360 --> 0:36:37.319
<v Speaker 16>really what's happening is all other nations have followed up

0:36:37.360 --> 0:36:40.640
<v Speaker 16>with their own Chips Act, and while we're not counting

0:36:40.719 --> 0:36:43.640
<v Speaker 16>at all on these, what is clear is the whole

0:36:43.640 --> 0:36:47.480
<v Speaker 16>world now understand chips are absolutely central to this whole

0:36:47.520 --> 0:36:50.919
<v Speaker 16>new wave of what we call smart everything in the world.

0:36:52.520 --> 0:36:55.279
<v Speaker 4>You've been at this company since the late nineties. I

0:36:55.320 --> 0:36:57.799
<v Speaker 4>know that you're stepping down at the beginning of next year.

0:36:58.239 --> 0:37:00.680
<v Speaker 4>I wanted to get your reaction to the Hour Semi

0:37:00.680 --> 0:37:03.360
<v Speaker 4>and Intel news this week and how you think it

0:37:03.360 --> 0:37:06.080
<v Speaker 4>will impact the m and a landscape in tech and

0:37:06.120 --> 0:37:07.279
<v Speaker 4>in chips in particular.

0:37:08.400 --> 0:37:10.920
<v Speaker 16>Well, I actually have been there since the mid eighties

0:37:11.040 --> 0:37:13.920
<v Speaker 16>because I started the County in mid eighties. No, no problem.

0:37:14.160 --> 0:37:17.799
<v Speaker 16>But it gives a very interesting perspective, right because many

0:37:17.840 --> 0:37:20.399
<v Speaker 16>of these companies that you're reporting on, some of them

0:37:20.480 --> 0:37:23.600
<v Speaker 16>existing existed already at that time, and they all have

0:37:23.680 --> 0:37:27.400
<v Speaker 16>had the same passway, which is how to stay close

0:37:27.440 --> 0:37:29.600
<v Speaker 16>to the leading edge. And Intel is a great example

0:37:29.600 --> 0:37:35.120
<v Speaker 16>of that. Right now, they're substantially investing in their next edge.

0:37:35.360 --> 0:37:37.560
<v Speaker 16>And you may have seen the agreement that we did

0:37:37.600 --> 0:37:40.480
<v Speaker 16>earlier this week, which is very important, where we provide

0:37:40.560 --> 0:37:44.160
<v Speaker 16>many of the building blocks that are necessary for them

0:37:44.280 --> 0:37:47.640
<v Speaker 16>to be successful in the foundry world, and these building

0:37:47.640 --> 0:37:51.799
<v Speaker 16>blocks get specifically designed for their most advanced technology. And

0:37:52.320 --> 0:37:56.120
<v Speaker 16>in general, part of our role is to support all

0:37:56.160 --> 0:37:59.040
<v Speaker 16>the founderies to go to market. And what they need

0:37:59.120 --> 0:38:01.960
<v Speaker 16>is they need the design tools to be ready for them,

0:38:02.000 --> 0:38:05.280
<v Speaker 16>and they need the IP blocks to be ready from them,

0:38:05.560 --> 0:38:08.200
<v Speaker 16>and we provide both of those. We provide those for

0:38:08.280 --> 0:38:11.520
<v Speaker 16>a broad set of foundries, and that race is on too.

0:38:12.000 --> 0:38:15.400
<v Speaker 16>And so this notion of the race forward is actually

0:38:15.400 --> 0:38:19.279
<v Speaker 16>a big positive. You're certainly familiar with fifty years of

0:38:19.360 --> 0:38:24.200
<v Speaker 16>More's law that was an exponential of unseen magnitude. We've

0:38:24.320 --> 0:38:26.480
<v Speaker 16>entered a new one of these, and the new one

0:38:26.560 --> 0:38:29.400
<v Speaker 16>is that multiple chips are going to get together in

0:38:29.600 --> 0:38:32.400
<v Speaker 16>very high proximity, including or stacking them. It's almost like

0:38:32.680 --> 0:38:36.120
<v Speaker 16>moving from building houses to moving hotel to building hotels now.

0:38:36.719 --> 0:38:39.320
<v Speaker 16>And this is all driven by smart everything.

0:38:40.360 --> 0:38:43.000
<v Speaker 3>The focus focus for you, the focus for the person

0:38:43.040 --> 0:38:45.319
<v Speaker 3>who picks up from you in January twenty and twenty four.

0:38:45.360 --> 0:38:47.040
<v Speaker 3>You found in the business co found and back in

0:38:47.080 --> 0:38:49.600
<v Speaker 3>nineteen eighty six, and an amazing time to be handing

0:38:49.640 --> 0:38:50.600
<v Speaker 3>over to secceine me.

0:38:50.640 --> 0:38:54.120
<v Speaker 5>Thank you so much. Ardgius is synopsist CEO.

0:38:55.400 --> 0:38:57.120
<v Speaker 3>So let's add New York City to the list of

0:38:57.120 --> 0:39:00.640
<v Speaker 3>places TikTok access will be banned on government owned This

0:39:00.760 --> 0:39:03.680
<v Speaker 3>comes well in California moves ahead a stronger language in

0:39:03.719 --> 0:39:07.320
<v Speaker 3>its own TikTok van bill. In Meg's technology Alex Birinka

0:39:07.400 --> 0:39:09.560
<v Speaker 3>is ever a busy woman, so it tooks through it.

0:39:10.760 --> 0:39:11.040
<v Speaker 6>Yeah.

0:39:11.080 --> 0:39:13.360
<v Speaker 17>In New York City, that security threat that a lot

0:39:13.400 --> 0:39:15.719
<v Speaker 17>of legislators have talked about has come to the forefront.

0:39:15.920 --> 0:39:18.040
<v Speaker 17>The New York City Cyber Command called it a quote

0:39:18.040 --> 0:39:21.040
<v Speaker 17>threat to the city's technical networks and made the decision

0:39:21.160 --> 0:39:24.279
<v Speaker 17>this week to give the city thirty days to get

0:39:24.320 --> 0:39:27.840
<v Speaker 17>it off of government phones. The state of California that

0:39:27.920 --> 0:39:29.680
<v Speaker 17>was taking a little bit of a longer approach. There's

0:39:29.719 --> 0:39:33.439
<v Speaker 17>a bill that was authored by Senator Bill Dodd, that's

0:39:33.480 --> 0:39:37.480
<v Speaker 17>California SB seventy four. That bill has been approved by

0:39:37.480 --> 0:39:41.560
<v Speaker 17>the Assembly Committee to basically ban it on all government

0:39:41.640 --> 0:39:42.640
<v Speaker 17>phones as well.

0:39:42.880 --> 0:39:43.880
<v Speaker 6>That bill still.

0:39:43.640 --> 0:39:46.279
<v Speaker 17>Has to go to the Appropriations Committee and then to

0:39:46.360 --> 0:39:49.360
<v Speaker 17>Governor Gavin Newsom's desk. But there was one point in

0:39:49.400 --> 0:39:53.120
<v Speaker 17>our reporting from that passage and Assembly committee today that

0:39:53.160 --> 0:39:56.440
<v Speaker 17>I thought was interesting. Dodd said that TikTok has been

0:39:56.520 --> 0:39:59.680
<v Speaker 17>running interference, so while this app is getting banned on

0:39:59.680 --> 0:40:02.960
<v Speaker 17>government devices and states and municipalities more than thirty five

0:40:03.000 --> 0:40:06.200
<v Speaker 17>states in the US, it's still running quote unquote interference

0:40:06.280 --> 0:40:09.880
<v Speaker 17>and trying to convince lawmakers to not just ban TikTok,

0:40:09.960 --> 0:40:12.640
<v Speaker 17>but to widen up the band to all entertainment devices.

0:40:12.960 --> 0:40:16.680
<v Speaker 17>It hasn't quite worked that argument. In TikTok's defense. We're

0:40:16.719 --> 0:40:20.120
<v Speaker 17>still seeing these bands roll on, but California is probably

0:40:20.120 --> 0:40:21.720
<v Speaker 17>the next one that we'll be watching closely.

0:40:22.120 --> 0:40:25.160
<v Speaker 3>All the inside track, Alister, and can we thank you meanwhile?

0:40:25.360 --> 0:40:25.719
<v Speaker 6>That does it?

0:40:25.760 --> 0:40:27.759
<v Speaker 5>From this edition of Bluebog Technology.

0:40:27.880 --> 0:40:31.240
<v Speaker 4>Yeah, just the earning season, Relentless continues to recap everything

0:40:31.239 --> 0:40:33.880
<v Speaker 4>from the show in our podcast apples, Spotify, and the

0:40:33.880 --> 0:40:36.959
<v Speaker 4>Bloomberg platforms for here in SF and out New York.

0:40:37.239 --> 0:40:42.520
<v Speaker 6>This is Bloomberg Technology.