WEBVTT - Snapchat, Amazon, and Pinterest Earnings

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<v Speaker 1>From Marhart where Innovation, Money and power Collie in Silicon Valley, NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.

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<v Speaker 2>I'm Caroline Hyde at Bloomberg's World headquarters in New York

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<v Speaker 2>and I'm Ed Lodlow in San Francisco.

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<v Speaker 3>Big Friday. This is Bloomberg Technology.

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<v Speaker 2>It is big coming up full coverage of all those

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<v Speaker 2>tech earnings from Snapchat to Amazon to Pinterest.

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<v Speaker 3>We have got you covered and sticking with earnings, I'm

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<v Speaker 3>going to bring you my interview with Intel CEO Pat Gelsinger,

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<v Speaker 3>the company projecting a return to free cash flow, plus.

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<v Speaker 2>How AI is going to impact hiring and managing in

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<v Speaker 2>the workplace. We'll discuss the CEO of Lettice, Jack Altman.

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<v Speaker 2>But first from those privately VC back companies to the

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<v Speaker 2>public markets, where we're a little bit more cautious. Some

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<v Speaker 2>of the big eco data that we got, the drops

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<v Speaker 2>on the inflation reads ahead of the FED next week,

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<v Speaker 2>and look, inflation is still brisk here in the United States.

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<v Speaker 2>It's still brisk over in Europe, but maybe trading down

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<v Speaker 2>a little bit. We've seen the NASLAG still managing to

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<v Speaker 2>punch up three tens percent even though Amazon is that

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<v Speaker 2>drag two year yield though we're seeing two basis points lower.

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<v Speaker 2>In fact, we're seeing a buying into US bonds day

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<v Speaker 2>and mid risker version. Perhaps that's around the banking sector.

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<v Speaker 2>All eyes on First Republic. I'm looking at MSCI or

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<v Speaker 2>Country World innext up about half a percentage point. Europe

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<v Speaker 2>managed to just push on through towards the end of trading.

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<v Speaker 2>Let's slick it on and look at what's happening in

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<v Speaker 2>the great big world of crypto, because we are seeing

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<v Speaker 2>don ogcoin having a good set of five days. We're

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<v Speaker 2>up six percent, We're back at near that thirty thousand level.

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<v Speaker 2>There's been a lot of volatility along the way for bitcoin,

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<v Speaker 2>but edit does feel as though that's still some sort

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<v Speaker 2>of safe harbor on the day.

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<v Speaker 3>Yeah, I'm still really focused on earning season. Take a

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<v Speaker 3>look at Intel. We kind of paired some of our

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<v Speaker 3>earlier games. A tough first quarter, to be honest to

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<v Speaker 3>trough on the top and bottom line, but the outlook

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<v Speaker 3>for the second half of this year a bit more

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<v Speaker 3>rosy and analyst really buying into that. We will hear

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<v Speaker 3>from the CEO Pat Gelsinger later in the show about

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<v Speaker 3>what the green shoots are that are giving the market

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<v Speaker 3>confidence elsewhere. Social media a really big theme of this

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<v Speaker 3>earning season. Snap usually reports earlier. It's a little bit

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<v Speaker 3>later this quarter, but basically it's first ever revenue decline,

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<v Speaker 3>and you can see how that's weighing on the shares.

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<v Speaker 3>Biggest dropping around six months. Pinterest another one where it's

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<v Speaker 3>kind of failing to gain traction, particularly in the US

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<v Speaker 3>on the user growth perspective, and in this world of AI,

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<v Speaker 3>we're worried about visibility. How is this relevant anymore? We'll

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<v Speaker 3>dig into that. And then Amazon down four percent. This

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<v Speaker 3>is all about the cloud. Sequentially into April from the

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<v Speaker 3>first quarter, AWS top line growth slowing by around five

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<v Speaker 3>hundred basis points. This has been the cash cow for Amazon,

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<v Speaker 3>but it hasn't come to the rescue this quarter actually

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<v Speaker 3>cost discipline on the top and bottom line beating the

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<v Speaker 3>course of gone. The strength of the e commerce business

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<v Speaker 3>definitely there that the cloud a little more worrying, Caroline.

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<v Speaker 2>Yeah, and as you say, that has been such an

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<v Speaker 2>important growth driver. Let's talk about it even more. Now

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<v Speaker 2>we've got pack to you, president and co founder and

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<v Speaker 2>of course someone who used to work over at Amazon.

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<v Speaker 2>Melissa Verdick. You were previously of Cool, spending a decade

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<v Speaker 2>at the company. You helped launch the CpG, the health

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<v Speaker 2>beauty retail business. You understand the ad product, but focus

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<v Speaker 2>on the cloud for a minute, in particular, how warring

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<v Speaker 2>is this cash cow is thoughting to slow out in

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<v Speaker 2>terms of growth.

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<v Speaker 4>Yeah, there's well, there's a couple of things for sall

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<v Speaker 4>things for having me glad to be back, but you know,

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<v Speaker 4>sixteen percent growth in AWS still not anything to sneeze about.

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<v Speaker 4>But there's a couple of worrying things. I think One

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<v Speaker 4>is AWS has been the leader. They had forty percent

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<v Speaker 4>growth a year ago.

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<v Speaker 5>Now it's slowing.

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<v Speaker 4>Their competitors are catching up. So Azure and Google Cloud

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<v Speaker 4>both grew faster. Another thing that I think there are

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<v Speaker 4>two other things that are a little bit concerning. One

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<v Speaker 4>is it is impacted by macroeconomics. Amazon talked about how

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<v Speaker 4>customers of all sizes are looking to optimize their cost

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<v Speaker 4>savings and that is where we're seeing some slowing growth.

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<v Speaker 4>And then lastly is on the AI front. So one

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<v Speaker 4>of the things you know, Chat GBT OpenAI launch, they're

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<v Speaker 4>the market leader in Microsoft Azure has a direct integration

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<v Speaker 4>with them. Yes, so that's going to be one challenge

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<v Speaker 4>for them. Amazon did announce Bedrock and their solution for

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<v Speaker 4>Microsoft's Copilot called co Whisper. So I think the question

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<v Speaker 4>is going to be how much adoption can they get

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<v Speaker 4>of their integrations with ADBs given the fact that Chatter

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<v Speaker 4>is leader.

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<v Speaker 3>You know, they're offering something broad right, foundational models for

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<v Speaker 3>those that want to use third party or Titan within Bedrock.

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<v Speaker 3>One thing that really caught my eye the impact of

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<v Speaker 3>machine learning on advertising. To take a look at this

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<v Speaker 3>chart that shows ad growth across the advertising based companies,

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<v Speaker 3>and actually Amazon comes top of the pile. Milist a

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<v Speaker 3>real bright spot. What's your read into that?

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<v Speaker 5>Yeah, definitely.

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<v Speaker 4>I mean my company pack You sits on top of

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<v Speaker 4>the Amazon's APIs for ads, and it's been a great

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<v Speaker 4>business for us. Advertising is highly profitable. Actually, this week

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<v Speaker 4>we looked at earnings across Meta, Google, Snap and Amazon

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<v Speaker 4>was way better than twenty three percent growth, whereas you

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<v Speaker 4>did not do as well. There's an interesting new partnership

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<v Speaker 4>that Amazon announced Whiches with Pinterest. Pinterest has been struggling

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<v Speaker 4>a little bit. They want to monetize their pins, and

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<v Speaker 4>so this is kind of a win for Amazon, this

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<v Speaker 4>new partnership that will drive traffic to them. And then

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<v Speaker 4>one of the other bright spots with the Amazon is

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<v Speaker 4>that they have lots of injury. You know, they continue

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<v Speaker 4>to add more placements. They're pushing more towards upper funnel

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<v Speaker 4>and streaming TV. There's a big opportunity around non indemic

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<v Speaker 4>So even you know, cars that don't sell products on Amazon,

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<v Speaker 4>you can leverage Amazon's audience. So there's just there's a

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<v Speaker 4>lot of opportunity. Amazon has great space to grow in

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<v Speaker 4>the advertising business.

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<v Speaker 3>All right, Melissa Bird, I could pack for you, Thank

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<v Speaker 3>you so much. The other name we're tracking them, course,

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<v Speaker 3>Snap shares set for the worst day in six months

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<v Speaker 3>after posting its first ever revenue decline. Joining us now

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<v Speaker 3>is Jasmine Mburg Insider Intelligence Principle analysts. There was a

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<v Speaker 3>phrase that jumped out, continued disruption in demand in advertising.

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<v Speaker 2>What is that?

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<v Speaker 6>Well, I think over all, looking at Snap's revenue decline,

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<v Speaker 6>what we see is that it has really deep challenges within.

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<v Speaker 5>Its ad business.

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<v Speaker 6>So yes, there was a disruption and demand in the

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<v Speaker 6>sense that it is revamping its ad platform. It is

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<v Speaker 6>unifying its ad formats to make them easier for users,

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<v Speaker 6>it's investing in machine learning, and all of this, of

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<v Speaker 6>course is to provide more ROI for advertisers, and Snap

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<v Speaker 6>is right, you know, these things take time to ramp

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<v Speaker 6>up and really you know, impact its bottom line. But

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<v Speaker 6>for me, you know, this issue really runs deeper, and

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<v Speaker 6>that's that Snap is a much smaller player than say

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<v Speaker 6>Facebook or Instagram. And we saw Meta come in, you know,

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<v Speaker 6>with a three percent revenue growth in Q one, and

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<v Speaker 6>you know, Snapchat also isn't a textbook ad supported platform

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<v Speaker 6>the way that those two players are.

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<v Speaker 7>It's been very clear about this itself.

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<v Speaker 6>It is a messaging app and its users primarily use

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<v Speaker 6>it for visual messaging, and messaging apps are notoriously difficult

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<v Speaker 6>to monetize.

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<v Speaker 2>Three hundred and eighty three million users daily is nothing

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<v Speaker 2>to be sniffed out, though overalled, How do they end

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<v Speaker 2>up trying to set themselves apart from not being well

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<v Speaker 2>and also RAN, but a different RAN, offering something different,

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<v Speaker 2>particularly when it comes to VRAR.

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<v Speaker 6>Yeah, and that's something that Snap has been trying to

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<v Speaker 6>do from the very beginning. You know, they position themselves

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<v Speaker 6>as the as as a gen Z platform, calling it

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<v Speaker 6>the Snapchat generation.

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<v Speaker 5>And it's true.

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<v Speaker 6>It really does have a stronghold on gen Z. Where

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<v Speaker 6>it has struggled is being able to attract audiences outside

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<v Speaker 6>of gen Z, older audiences in particular, and a lot

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<v Speaker 6>of the things that they're doing, particularly around AR, really

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<v Speaker 6>do appeal to its audience. I would say that, you know,

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<v Speaker 6>convincing advertisers that AR in advertising is valuable, especially in

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<v Speaker 6>this economic environment, has been difficult. But it's also working

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<v Speaker 6>towards bringing AR off platform. It has a new RS

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<v Speaker 6>which is its Augmented Reality Enterprise Service division, where it's

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<v Speaker 6>incorporating it's AR technology into brand apps and websites, as

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<v Speaker 6>well as bringing some of that technology eventually in store.

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<v Speaker 6>So this of course is you know, part of it

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<v Speaker 6>diversifying its revenue streams and being able to monetize AR

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<v Speaker 6>outside of its core Snapchat platform.

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<v Speaker 2>All about the monetization Jasmine Great hasent time with the

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<v Speaker 2>jasmin Enberg of insider intelligence from Snap to Pinterest. Let's

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<v Speaker 2>have a look at how those shares perform, because we

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<v Speaker 2>know that it's under pressure. We know that it's more

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<v Speaker 2>perhaps about the lack of cost cutting going on to

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<v Speaker 2>that particular business right now. Tom Forte, DA Davidson's senior

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<v Speaker 2>research analyst who has a neutral rating on the stock.

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<v Speaker 2>I understand, and you're sticking with a twenty two dollar

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<v Speaker 2>price target even though we're still seeing sort of the

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<v Speaker 2>pain trade that is the restructuring going on.

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<v Speaker 7>Sure, so I think I lowered my price target by

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<v Speaker 7>a dollar.

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<v Speaker 8>To twenty two, and I think the good news is

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<v Speaker 8>that pinterest has made strides and engagement. They found an

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<v Speaker 8>interesting way to solve their monetization in e commerce by

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<v Speaker 8>partnering with Amazon. The bad news, and what I think

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<v Speaker 8>is weighing on the shares in addition to year of

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<v Speaker 8>comments on cost pressure, is that their sales expectations for

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<v Speaker 8>the June quarter suggests.

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<v Speaker 7>They were lower than expected.

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<v Speaker 8>So the digital ad market, when you look at Snapchat,

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<v Speaker 8>when you look at pinterest, it's still challenging out there.

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<v Speaker 5>Hey Tom.

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<v Speaker 3>When we look at pinterest, when you think video and

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<v Speaker 3>the emphasis from its pays, then you think about artificial intelligence.

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<v Speaker 3>There seems to be a narrative in the market that

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<v Speaker 3>pinterest is at risk of being left behind. Do you

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<v Speaker 3>share that concern?

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<v Speaker 8>I do not to the extent that if you say

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<v Speaker 8>that Pinterest's functionality is as a visual social network an

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<v Speaker 8>excellent place to view for example, kitchens if you're thinking

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<v Speaker 8>about doing a kitchen remodel, or a parel if you're

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<v Speaker 8>thinking about buying new clothes. I do think that they

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<v Speaker 8>leverage artificial intelligence to the extent that they use artificial

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<v Speaker 8>intelligence to find more things that you might be interested

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<v Speaker 8>in based.

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<v Speaker 7>On what you've looked at so far. So I'm not

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<v Speaker 7>overly concerned about it being left behind.

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<v Speaker 2>No what therefore can Pinterest run home to the investor

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<v Speaker 2>base right now? About how close it is to actual

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<v Speaker 2>people making investment purchase decisions. How can they continue to

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<v Speaker 2>ultimately be a need to have for many of these

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<v Speaker 2>companies looking to advertise a little bit closer.

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<v Speaker 8>So here's where Amazon comes in from an advertising standpoint.

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<v Speaker 7>So to the extent that they're going to work.

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<v Speaker 8>With Amazon to improve their advertising and e commerce make

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<v Speaker 8>it easier for consumers to find things on Pinterest, to

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<v Speaker 8>find ads on Pinterest, to click on those ads and

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<v Speaker 8>buy them with Amazon. I think that's going to help

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<v Speaker 8>Pinterest over the next twelve to eighteen months. And the

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<v Speaker 8>challenge for everyone not named meta platforms is monetization. Pinterest

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<v Speaker 8>has a large global user based for under ninety three

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<v Speaker 8>million monthly active users, but they need to improve their

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<v Speaker 8>MATIZI and I think over time that ad advertising effort

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<v Speaker 8>with Amazon can help.

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<v Speaker 3>It's on forte DA Davidson, thank you so much. Intel

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<v Speaker 3>shares pushing higher after chipmaker projected a return to free

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<v Speaker 3>cash flow in the second half of the year, with

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<v Speaker 3>analysts saying the worst now may be over for the company.

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<v Speaker 3>Moments ago, I sat down with Intel CEO Patal Singer.

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<v Speaker 5>Have listen.

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<v Speaker 9>You know, the second half in our industry is typically

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<v Speaker 9>stronger than the first half, and we expect that to

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<v Speaker 9>be the case your second You know, a lot of

0:11:35.160 --> 0:11:38.320
<v Speaker 9>inventory adjustments are occurring in the first half of the year,

0:11:38.640 --> 0:11:43.000
<v Speaker 9>and particularly we see those finished in the client the

0:11:43.080 --> 0:11:46.839
<v Speaker 9>PC industry, but we're also seeing progress through our networking

0:11:46.920 --> 0:11:49.920
<v Speaker 9>and data center and cloud business as well, so improving

0:11:50.040 --> 0:11:53.800
<v Speaker 9>inventory position, and you know that's very typical of the industry.

0:11:53.840 --> 0:11:56.360
<v Speaker 9>You go through a sharp decline, you have inventory, a

0:11:56.400 --> 0:11:59.240
<v Speaker 9>lot of fixed costs, and then you gradually work through that.

0:11:59.360 --> 0:12:01.640
<v Speaker 9>So we see that as the second factor. But the

0:12:01.679 --> 0:12:05.199
<v Speaker 9>third one is an improving product position that improves our

0:12:05.200 --> 0:12:08.400
<v Speaker 9>market share overall, and that I think in particular you're

0:12:08.400 --> 0:12:11.559
<v Speaker 9>our data center business in particular, we're seeing Q one

0:12:11.600 --> 0:12:14.960
<v Speaker 9>as a turning point where a stronger product line the

0:12:15.040 --> 0:12:17.160
<v Speaker 9>market is looking at you know what we're saying for

0:12:17.240 --> 0:12:20.240
<v Speaker 9>our process and product and saying, boy, that's a little

0:12:20.280 --> 0:12:22.600
<v Speaker 9>bit better than we were expecting. So seeing some of

0:12:22.640 --> 0:12:25.640
<v Speaker 9>those positive green shoots, and maybe finally, you know, at

0:12:25.720 --> 0:12:28.720
<v Speaker 9>least parts of the world, China clearly is showing some

0:12:28.840 --> 0:12:32.840
<v Speaker 9>economic strength as well, so hopefully some economic green shoots

0:12:32.880 --> 0:12:34.160
<v Speaker 9>in the second half as well.

0:12:34.600 --> 0:12:36.800
<v Speaker 3>The turning point idea is really interesting. There's a number

0:12:36.800 --> 0:12:40.720
<v Speaker 3>of analysts that say Intel has hit its troth essentially

0:12:40.720 --> 0:12:44.120
<v Speaker 3>when they look at margins and top line growth. Is

0:12:44.200 --> 0:12:46.520
<v Speaker 3>Intel in its trough coming out of its trough?

0:12:46.559 --> 0:12:49.560
<v Speaker 9>To your mind, well, you know, we guided Q two

0:12:49.960 --> 0:12:52.240
<v Speaker 9>better than Q one, and we expect second half to

0:12:52.240 --> 0:12:54.920
<v Speaker 9>be stronger than that. So clearly from a top line

0:12:55.120 --> 0:12:58.440
<v Speaker 9>growth perspective, but also from a margin perspective, you know,

0:12:58.520 --> 0:13:01.680
<v Speaker 9>we expect that we're so margins in Q two, but

0:13:01.800 --> 0:13:04.400
<v Speaker 9>improving as we go through the years. We get out

0:13:04.440 --> 0:13:07.440
<v Speaker 9>of the thirties and back into comfortably into the forties

0:13:07.440 --> 0:13:10.240
<v Speaker 9>as we go through the year. So an improving position

0:13:10.320 --> 0:13:13.040
<v Speaker 9>on margins and an improving position then on the bottom

0:13:13.080 --> 0:13:15.640
<v Speaker 9>line as we go through the year. So clearly, you know,

0:13:15.679 --> 0:13:18.200
<v Speaker 9>we're seeing that momentum, but I'd also say there's a

0:13:18.200 --> 0:13:22.760
<v Speaker 9>lot of turbulence macroeconomic uncertainty, so it also requires a

0:13:22.800 --> 0:13:26.440
<v Speaker 9>lot of execution and financial discipline, which we demonstrated in

0:13:26.520 --> 0:13:29.240
<v Speaker 9>Q one. So overall, I think the company is doing

0:13:29.280 --> 0:13:31.800
<v Speaker 9>what I've asked them to do, to be very thoughtful

0:13:31.800 --> 0:13:36.559
<v Speaker 9>with how we spend, but execute, execute, execute, product process,

0:13:36.679 --> 0:13:39.800
<v Speaker 9>new areas like foundry, all of those gaining momentum as

0:13:39.800 --> 0:13:40.560
<v Speaker 9>we go through the year.

0:13:42.480 --> 0:13:45.320
<v Speaker 3>Intel CEO Pat Gelsinger there, Caroline.

0:13:44.960 --> 0:13:48.360
<v Speaker 2>Really fascinating conversation overall, and the focus on chips, which

0:13:48.400 --> 0:13:50.200
<v Speaker 2>of course we know have been a bit of a laggot.

0:13:50.240 --> 0:13:52.160
<v Speaker 2>Over the course of the week, we've got to dig

0:13:52.200 --> 0:13:54.440
<v Speaker 2>in a little bit more about Intel's earnings and the

0:13:54.480 --> 0:13:58.080
<v Speaker 2>chip sector more broadly, bringing Bloomberg Intelligences, man needs sing

0:13:58.760 --> 0:14:01.240
<v Speaker 2>what do you make of some studying? Is the worst

0:14:01.240 --> 0:14:04.480
<v Speaker 2>behind us? To that extent, I think it.

0:14:04.440 --> 0:14:07.000
<v Speaker 10>Was interesting that they said that the PC market is

0:14:07.040 --> 0:14:09.840
<v Speaker 10>stabilizing and they call for two hundred and seventy million

0:14:10.000 --> 0:14:11.040
<v Speaker 10>units for the year.

0:14:11.559 --> 0:14:14.880
<v Speaker 7>My sense is, you know, the inventory.

0:14:14.440 --> 0:14:18.080
<v Speaker 10>Situation is still not clear in terms of you know,

0:14:18.200 --> 0:14:22.080
<v Speaker 10>the channel inventory clearing they sounded a lot more optimistic,

0:14:22.240 --> 0:14:24.560
<v Speaker 10>So you have to take the word because Intel is

0:14:24.560 --> 0:14:27.640
<v Speaker 10>the largest player. And look, on the client side, they

0:14:27.640 --> 0:14:31.080
<v Speaker 10>have less of competitive issues than on the data center side,

0:14:31.120 --> 0:14:34.640
<v Speaker 10>where we know the demand is high for high performance

0:14:34.680 --> 0:14:39.360
<v Speaker 10>computing chips. We've seen expectations for Nvidia. So clearly Intel

0:14:39.480 --> 0:14:42.800
<v Speaker 10>has more secular headbinds to deal with on the data

0:14:42.800 --> 0:14:45.760
<v Speaker 10>center side. The client side will be cyclical, whether it

0:14:45.840 --> 0:14:48.440
<v Speaker 10>comes back in the second half or it takes two

0:14:48.560 --> 0:14:49.480
<v Speaker 10>or three more quarters.

0:14:49.800 --> 0:14:50.680
<v Speaker 1>I think we.

0:14:50.840 --> 0:14:52.280
<v Speaker 5>Still have to figure that part out.

0:14:53.160 --> 0:14:55.680
<v Speaker 3>Yeah, I think he said he was confident the inventory

0:14:56.240 --> 0:14:58.720
<v Speaker 3>would be corrected, it would be completed, though he didn't

0:14:58.760 --> 0:15:01.840
<v Speaker 3>say when you know, relatively. Pat's trying to sell this

0:15:01.920 --> 0:15:04.920
<v Speaker 3>story right, mandate that Intel can return to being a

0:15:04.960 --> 0:15:08.280
<v Speaker 3>technological leader. Do you see evidence that he is managing

0:15:08.280 --> 0:15:11.280
<v Speaker 3>that process well while also sort of catching up on

0:15:11.320 --> 0:15:12.960
<v Speaker 3>the day to day of running a chip company.

0:15:13.480 --> 0:15:16.600
<v Speaker 10>I mean, look, turn around stories in tech are tough,

0:15:16.800 --> 0:15:20.400
<v Speaker 10>and look, he has a very tough hand in this quorder.

0:15:20.480 --> 0:15:25.240
<v Speaker 10>Intel actually had negative nine billion dollars in free cash flow,

0:15:25.320 --> 0:15:27.200
<v Speaker 10>so that just goes to show what he is dealing

0:15:27.280 --> 0:15:31.640
<v Speaker 10>with in terms of, you know, the fab aspect of

0:15:31.680 --> 0:15:35.960
<v Speaker 10>it catching up to TSMC and really kind of dealing

0:15:35.960 --> 0:15:38.800
<v Speaker 10>with the data center headminds that I alluded to before.

0:15:39.280 --> 0:15:42.920
<v Speaker 10>A lot I think depends on the government and the

0:15:43.080 --> 0:15:47.120
<v Speaker 10>Chips Act, because that's where things can be supported, you know,

0:15:47.200 --> 0:15:50.560
<v Speaker 10>in terms of driving more onshore manufacturing of chips, and

0:15:51.000 --> 0:15:53.920
<v Speaker 10>that's where the free cash flow headminds can be eased,

0:15:53.960 --> 0:15:56.840
<v Speaker 10>and you know, it can be more kind of dealt

0:15:56.960 --> 0:15:59.600
<v Speaker 10>with down the line as opposed to, you know, convincing

0:15:59.640 --> 0:16:02.720
<v Speaker 10>investor that Intel won't keep losing money for the next

0:16:02.720 --> 0:16:03.520
<v Speaker 10>two three years.

0:16:03.680 --> 0:16:07.000
<v Speaker 3>Caroline, as you can imagine, I couldn't resist the temptation,

0:16:07.200 --> 0:16:10.840
<v Speaker 3>and I asked, we asked a question about artificial intelligence.

0:16:11.400 --> 0:16:14.360
<v Speaker 2>Yeah, and it seems as though that's got to be

0:16:14.400 --> 0:16:17.040
<v Speaker 2>an area they focus on. I mean, Amandie your point

0:16:17.240 --> 0:16:21.000
<v Speaker 2>that we're looking at Amazon developing chips to help with

0:16:21.040 --> 0:16:24.600
<v Speaker 2>that sort of capacity that computer needed with generative AI.

0:16:24.840 --> 0:16:26.920
<v Speaker 2>Is this something that Intel just has to be a

0:16:26.960 --> 0:16:29.000
<v Speaker 2>part of and are they a significant part of it?

0:16:30.120 --> 0:16:33.960
<v Speaker 10>And that's the challenge, right, So the hyperscalers all want

0:16:34.000 --> 0:16:36.320
<v Speaker 10>to do their own chips. I mean, Google is doing

0:16:36.360 --> 0:16:40.560
<v Speaker 10>their own TPUs, Amazon the Graviton, and Microsoft has I

0:16:40.560 --> 0:16:42.720
<v Speaker 10>think There'll been rumors that they're doing their own chips.

0:16:42.720 --> 0:16:45.720
<v Speaker 10>So that's the challenge for somebody like Intel, which is

0:16:45.760 --> 0:16:48.720
<v Speaker 10>the leading market share leader when it comes to you know,

0:16:48.800 --> 0:16:52.360
<v Speaker 10>the data center chips, and now they are partnering with ARM.

0:16:52.440 --> 0:16:55.320
<v Speaker 10>I mean, we know Intel is eighty six, and so

0:16:55.520 --> 0:16:58.560
<v Speaker 10>it's not very clear whether they have that you know

0:16:58.680 --> 0:17:03.560
<v Speaker 10>technology parac with PSMC now to really get more enterprises

0:17:03.680 --> 0:17:07.879
<v Speaker 10>at least in terms of joining you know, the AI

0:17:08.040 --> 0:17:10.640
<v Speaker 10>side of things. And in Vidia at the same time

0:17:10.800 --> 0:17:12.240
<v Speaker 10>is running away with that market.

0:17:12.320 --> 0:17:13.240
<v Speaker 7>AMD is doing well.

0:17:13.320 --> 0:17:16.719
<v Speaker 10>So clearly a lot of competitive pressure and there aren't

0:17:16.880 --> 0:17:20.600
<v Speaker 10>enough foll points in terms of you know, uh manufacturing

0:17:20.640 --> 0:17:24.320
<v Speaker 10>coming back. That's where the government supports is key and yeah,

0:17:24.400 --> 0:17:26.800
<v Speaker 10>they have to start showing that in bad manufacturing.

0:17:27.160 --> 0:17:30.439
<v Speaker 2>So take us there the bait you laid in. What

0:17:30.520 --> 0:17:31.800
<v Speaker 2>did he say in terms of AI?

0:17:32.760 --> 0:17:35.080
<v Speaker 3>So Mandy's flat was really interesting because he was pretty

0:17:35.119 --> 0:17:39.240
<v Speaker 3>committed to competing with Nvidia those high of higher endgpus

0:17:39.359 --> 0:17:42.280
<v Speaker 3>for the deep learning part. But really where Intel's looking

0:17:42.320 --> 0:17:45.000
<v Speaker 3>man Deepa's inference right, they have a range of CPU

0:17:45.040 --> 0:17:47.439
<v Speaker 3>and GPU products that they think can compete there. Just

0:17:47.480 --> 0:17:50.000
<v Speaker 3>so what you said about the chips ACT. Pat seems

0:17:50.040 --> 0:17:53.400
<v Speaker 3>confident that those dollars flow through this year. How crucial

0:17:53.440 --> 0:17:55.359
<v Speaker 3>is it to then to get that public sector money

0:17:55.440 --> 0:17:57.560
<v Speaker 3>to drive that vision that Pat has.

0:17:57.920 --> 0:18:01.280
<v Speaker 10>Yeah, look, I think that is key because the more

0:18:01.359 --> 0:18:04.840
<v Speaker 10>these tabs are underutilized, it's going to.

0:18:04.359 --> 0:18:05.800
<v Speaker 1>Be a drag on the gross margin.

0:18:05.840 --> 0:18:09.080
<v Speaker 10>And we've seen that fifteen percentage points in gross margin

0:18:09.119 --> 0:18:11.840
<v Speaker 10>compression in the last two three quarters. Guess what. The

0:18:11.880 --> 0:18:15.600
<v Speaker 10>more lower utilization for these fabs, it's going to continue

0:18:15.600 --> 0:18:18.879
<v Speaker 10>to pressure THATAB. So if he gets that funding and

0:18:19.080 --> 0:18:21.840
<v Speaker 10>if he gets something tangible from the Chips ACT, I

0:18:21.840 --> 0:18:23.720
<v Speaker 10>think that will certainly is that pressure.

0:18:24.040 --> 0:18:26.000
<v Speaker 1>And also the inference market.

0:18:25.840 --> 0:18:28.760
<v Speaker 10>Is sort of running away from them because Apple does

0:18:28.800 --> 0:18:32.120
<v Speaker 10>its own chips for its PCs and max. That's where

0:18:32.160 --> 0:18:35.400
<v Speaker 10>a lot of infrints will also happen. So Intel really

0:18:35.520 --> 0:18:37.640
<v Speaker 10>wants to make sure that you know the x eighty

0:18:37.680 --> 0:18:40.879
<v Speaker 10>six ecosystem, the Windows ecosystem stays with them on the

0:18:40.960 --> 0:18:41.800
<v Speaker 10>client side.

0:18:42.400 --> 0:18:45.359
<v Speaker 2>Always great to have some time with you of Freebag Intelligence.

0:18:45.560 --> 0:18:47.240
<v Speaker 2>The one and only man leaps saying, one of the

0:18:47.240 --> 0:18:50.600
<v Speaker 2>busiest people in this building. Mean while coming up, we've

0:18:50.600 --> 0:18:53.000
<v Speaker 2>got to talk about that bitcoin scam, a Moonland, a

0:18:53.080 --> 0:18:55.199
<v Speaker 2>craft so much more, but it all coming up and

0:18:55.240 --> 0:18:57.600
<v Speaker 2>talking tech that's next, and this is Blomberg.

0:19:15.560 --> 0:19:18.200
<v Speaker 3>Time for talking tech. A US jarge ordered a South

0:19:18.200 --> 0:19:21.520
<v Speaker 3>African executive to pay more than three point four billion

0:19:21.560 --> 0:19:25.760
<v Speaker 3>dollars in restitution and fines for a fraud scheme involving bitcoin,

0:19:25.800 --> 0:19:29.080
<v Speaker 3>which impacted more than twenty three thousand people in the US.

0:19:29.160 --> 0:19:32.560
<v Speaker 3>This is the highest ever civil monetary penalty in any

0:19:32.640 --> 0:19:36.680
<v Speaker 3>CFTC case. Ice Faces Moonlander crash is now wiped out

0:19:36.720 --> 0:19:39.720
<v Speaker 3>about six hundred million dollars, almost half of the Tokyo

0:19:39.760 --> 0:19:43.960
<v Speaker 3>based startups value of shares slumping for a third straight session,

0:19:44.280 --> 0:19:47.600
<v Speaker 3>and Sony casting doubt on its PlayStation momentum. The company

0:19:47.840 --> 0:19:50.840
<v Speaker 3>offered a pretty conservative profit outlook after warning about the

0:19:50.880 --> 0:19:54.720
<v Speaker 3>impact of the global consumer spending slump on its electronics

0:19:54.840 --> 0:19:58.399
<v Speaker 3>and entertainment business. And finally, Baine Capital has built a

0:19:58.440 --> 0:20:02.040
<v Speaker 3>stake in Software Ag, raising the prospect of a takeover

0:20:02.119 --> 0:20:05.159
<v Speaker 3>battle for the German company that, according to sources, the

0:20:05.240 --> 0:20:08.120
<v Speaker 3>firms areying a potential merger with its own portfolio firm,

0:20:08.560 --> 0:20:09.720
<v Speaker 3>Rocket Software.

0:20:17.640 --> 0:20:20.600
<v Speaker 2>Welcome back to Bloomerg Technology. I'm Paralyine Hyde in New York.

0:20:20.920 --> 0:20:23.680
<v Speaker 3>And Amed Lovelow in San Francisco. It's the final trading day,

0:20:23.720 --> 0:20:26.399
<v Speaker 3>Caroline of April, so I thought I get some scores

0:20:26.400 --> 0:20:28.200
<v Speaker 3>on the doors in terms of where we're at. Now's

0:20:28.200 --> 0:20:30.040
<v Speaker 3>that one hundred out performance, right, We're up four and

0:20:30.080 --> 0:20:33.159
<v Speaker 3>a half percent relative to sort of other specific areas

0:20:33.160 --> 0:20:36.879
<v Speaker 3>of the technology space, the Philadelphia Semiconductor Index being one

0:20:36.960 --> 0:20:39.159
<v Speaker 3>laggage you talked about earlier in the show. It's been

0:20:39.200 --> 0:20:42.080
<v Speaker 3>a really interesting month because of the banking concerns that

0:20:42.119 --> 0:20:45.440
<v Speaker 3>we've had, but then a really condensed period of earnings

0:20:45.480 --> 0:20:48.040
<v Speaker 3>in the final sort of ten days of April when

0:20:48.040 --> 0:20:49.959
<v Speaker 3>it comes to the technology sector, and honestly, it's been

0:20:49.960 --> 0:20:51.719
<v Speaker 3>a real mixed bag. I think you and I can

0:20:51.720 --> 0:20:54.800
<v Speaker 3>talk about that on our Twitter spaces later. On Megacap's

0:20:54.880 --> 0:20:57.520
<v Speaker 3>NYC Fangpus index, you also have some of the US

0:20:57.520 --> 0:21:01.000
<v Speaker 3>listed shares of Chinese tech companies sprinkled in there. Speaking

0:21:01.000 --> 0:21:02.879
<v Speaker 3>of which, then there's that Gorden Dragon index is a

0:21:03.000 --> 0:21:05.000
<v Speaker 3>clear laggard in the month of April, and you and

0:21:05.080 --> 0:21:08.119
<v Speaker 3>I have been talking about how geopolitical concerns have ramped

0:21:08.200 --> 0:21:10.320
<v Speaker 3>up in that period between the US and China. In

0:21:10.359 --> 0:21:13.400
<v Speaker 3>the moment during Friday session, Cloud is a big concern.

0:21:13.440 --> 0:21:15.879
<v Speaker 3>We've been talking about how Amazon is down because of

0:21:16.000 --> 0:21:19.400
<v Speaker 3>their commentary around the sequential decline in growth at AWS,

0:21:19.440 --> 0:21:21.800
<v Speaker 3>but take a look at cloud Flare. That is a big,

0:21:21.840 --> 0:21:25.000
<v Speaker 3>big drop for that name all cloud related. There are

0:21:25.040 --> 0:21:29.000
<v Speaker 3>concerns about growth, concerns about structural issues one name that

0:21:29.000 --> 0:21:31.160
<v Speaker 3>we don't often cover, but that is a pretty steep drop.

0:21:31.600 --> 0:21:33.840
<v Speaker 2>Talking of steep drops, let's get straight to it. When

0:21:33.880 --> 0:21:36.439
<v Speaker 2>we're talking about the banking sector. And because US officials

0:21:36.480 --> 0:21:39.480
<v Speaker 2>are reportedly in talks with government agencies to throw First

0:21:39.520 --> 0:21:42.320
<v Speaker 2>republic banker lifeline, now, the San Francisco based lender has

0:21:42.359 --> 0:21:45.280
<v Speaker 2>really struggled to navigate through the aftermath of failed Silicon

0:21:45.320 --> 0:21:48.040
<v Speaker 2>Valley Bank and to other regional lenders. In March, for

0:21:48.080 --> 0:21:50.359
<v Speaker 2>more on this, we turned to Lumnus Wall Street reporter

0:21:50.440 --> 0:21:53.800
<v Speaker 2>Schnarali Bassak, who has been I'm sure of all the

0:21:53.880 --> 0:21:57.280
<v Speaker 2>volatility in the name, the pausing that we're seeing, what's the.

0:21:57.320 --> 0:22:00.359
<v Speaker 11>Latest beyond that in the center of a lurry of

0:22:00.359 --> 0:22:03.000
<v Speaker 11>telephone calls as well. Remember is we describe the situation,

0:22:03.119 --> 0:22:06.639
<v Speaker 11>it is a live situation and can best be described

0:22:06.720 --> 0:22:10.199
<v Speaker 11>as a frenzied last minute effort to save the bank.

0:22:10.400 --> 0:22:13.560
<v Speaker 11>Now whether it falls into FDIC receivership. Now there's a

0:22:13.560 --> 0:22:15.359
<v Speaker 11>sense for the last couple of days that this could

0:22:15.359 --> 0:22:18.760
<v Speaker 11>continue to limp along as a bank with a clear

0:22:18.760 --> 0:22:22.200
<v Speaker 11>hole in its balance sheet. However, at this point, remember

0:22:22.240 --> 0:22:24.520
<v Speaker 11>we have reported a few times now that some of

0:22:24.520 --> 0:22:27.080
<v Speaker 11>the banks that were involved in the rescue actually even

0:22:27.200 --> 0:22:31.680
<v Speaker 11>prefer an FDIC receivership in some manners. Here now, remember

0:22:31.680 --> 0:22:34.560
<v Speaker 11>there's another thing about the FDIC receivership. The FDIC, the

0:22:34.600 --> 0:22:37.200
<v Speaker 11>deposit fund has already taken a massive hit of more

0:22:37.200 --> 0:22:39.560
<v Speaker 11>than twenty two billion dollars here are tied to the

0:22:39.600 --> 0:22:42.080
<v Speaker 11>rescue of two prior banks to fail banks that is

0:22:42.080 --> 0:22:44.880
<v Speaker 11>Silicon Valley Bank as well as Signature Bank. So this

0:22:45.000 --> 0:22:48.280
<v Speaker 11>kind of a hole is a thirty billion dollar hole

0:22:48.520 --> 0:22:50.720
<v Speaker 11>or and then some. I mean, the exact amount is

0:22:50.760 --> 0:22:53.359
<v Speaker 11>not quite understood, but it is a large one. So

0:22:53.440 --> 0:22:55.159
<v Speaker 11>no matter what happens to this bank, it is a

0:22:55.200 --> 0:22:58.959
<v Speaker 11>costly situation for the banks that are in and around

0:22:58.960 --> 0:23:02.800
<v Speaker 11>the situation already, the government itself, and of course for

0:23:03.000 --> 0:23:06.160
<v Speaker 11>the shareholders that are remaining for FRC.

0:23:07.840 --> 0:23:11.040
<v Speaker 3>I think the idea SNALI is that investors are struggling

0:23:11.119 --> 0:23:15.480
<v Speaker 3>to understand what of the many possible scenarios is most

0:23:15.520 --> 0:23:18.120
<v Speaker 3>likely to happen. This talk in the market that now

0:23:18.160 --> 0:23:20.560
<v Speaker 3>a US takeover is the most likely outcome.

0:23:21.240 --> 0:23:23.080
<v Speaker 11>Listen, and that's what I was trying to convey here.

0:23:23.560 --> 0:23:27.440
<v Speaker 11>This is very much a search for things to come

0:23:27.440 --> 0:23:32.240
<v Speaker 11>together here. Now, getting a consortium of people together is

0:23:32.280 --> 0:23:35.560
<v Speaker 11>a difficult thing to do. And remember we've reported multiple

0:23:35.560 --> 0:23:37.520
<v Speaker 11>times here at as well that the government would need

0:23:37.560 --> 0:23:40.639
<v Speaker 11>to be involved in such a manner and pony up

0:23:40.680 --> 0:23:44.879
<v Speaker 11>a little bit here under the FDS receivership plan. The

0:23:44.960 --> 0:23:49.159
<v Speaker 11>issue here is which is a more costly solution. The FDIC,

0:23:49.320 --> 0:23:53.480
<v Speaker 11>as we've been saying, would take another massive hit here IFFRC,

0:23:53.600 --> 0:23:56.680
<v Speaker 11>we're supposed to fall under receivership. So yes, the market

0:23:56.760 --> 0:23:58.280
<v Speaker 11>is trying to set us out to your point, the

0:23:58.280 --> 0:24:02.320
<v Speaker 11>most likely outcomes here, Again, this is not you cannot

0:24:02.359 --> 0:24:05.159
<v Speaker 11>say that this bank will necessarily fail. It's not to

0:24:05.200 --> 0:24:08.240
<v Speaker 11>that point yet, but it is possible that it does

0:24:08.280 --> 0:24:09.960
<v Speaker 11>get to that point in some scenario if they don't

0:24:09.960 --> 0:24:10.680
<v Speaker 11>find a solution.

0:24:11.720 --> 0:24:14.920
<v Speaker 3>All right, Bloombergshnili Bassi, you've earned your weekend alongside Man

0:24:14.920 --> 0:24:17.080
<v Speaker 3>Deep singer bi Off. You go go and have some fun.

0:24:18.000 --> 0:24:21.399
<v Speaker 3>Let's pivot a little bit Can AI replace our jobs?

0:24:21.440 --> 0:24:23.440
<v Speaker 3>That is a question Caroline and I have been asking

0:24:23.680 --> 0:24:26.119
<v Speaker 3>quite a lot recently the rise of generature of AI.

0:24:26.800 --> 0:24:29.320
<v Speaker 3>It may not expect to impact all jobs in the

0:24:29.400 --> 0:24:32.040
<v Speaker 3>same way uniformly, but there's going to be an impact

0:24:32.080 --> 0:24:35.400
<v Speaker 3>on hiring and managing in the workplace at large. That's

0:24:35.400 --> 0:24:39.080
<v Speaker 3>according to the CEO of People Management Software Lattice. Jack

0:24:39.080 --> 0:24:42.600
<v Speaker 3>Oltman is here with me. Now, how many times a

0:24:42.680 --> 0:24:46.760
<v Speaker 3>day internally do you say the words artificial intelligence? Or

0:24:46.800 --> 0:24:49.200
<v Speaker 3>are you already sick of it? Because actually you've been

0:24:49.200 --> 0:24:50.400
<v Speaker 3>doing it for a while.

0:24:51.800 --> 0:24:51.919
<v Speaker 12>Now.

0:24:52.280 --> 0:24:54.200
<v Speaker 5>First of all, thanks for having me. I don't get

0:24:54.240 --> 0:24:54.639
<v Speaker 5>sick of it.

0:24:54.680 --> 0:24:56.919
<v Speaker 13>I think it is like the most important topic in

0:24:57.119 --> 0:25:01.240
<v Speaker 13>tech right now. I think they're is still a lot

0:25:01.280 --> 0:25:03.760
<v Speaker 13>to be understood, but I think we're already seeing a

0:25:03.760 --> 0:25:07.160
<v Speaker 13>lot of ways in which AI is starting to impact companies,

0:25:07.240 --> 0:25:11.960
<v Speaker 13>individuals productivity. So I think, finally, after many many years

0:25:11.960 --> 0:25:15.000
<v Speaker 13>of people anticipating this with beta breath, we're we're here

0:25:15.040 --> 0:25:16.560
<v Speaker 13>and we're seeing a lot of the impacts, and so

0:25:16.880 --> 0:25:17.639
<v Speaker 13>it's super exciting.

0:25:17.680 --> 0:25:18.280
<v Speaker 1>Not sick of it.

0:25:19.400 --> 0:25:21.360
<v Speaker 3>LA's this is a really interesting example.

0:25:21.480 --> 0:25:21.760
<v Speaker 1>Jack.

0:25:21.840 --> 0:25:25.160
<v Speaker 3>You know you had a billion dollar valuation twenty twenty

0:25:25.160 --> 0:25:27.560
<v Speaker 3>one raise new funds the beginning of the year three

0:25:27.600 --> 0:25:30.720
<v Speaker 3>billion dollar valuation. But you're kind of a key example

0:25:30.800 --> 0:25:34.560
<v Speaker 3>of where AI tools can be applied in enterprise and SaaS.

0:25:35.119 --> 0:25:36.880
<v Speaker 3>Why is that such a good marriage?

0:25:38.840 --> 0:25:41.800
<v Speaker 13>So the way I've been thinking about large language models,

0:25:41.840 --> 0:25:44.040
<v Speaker 13>which is sort of the thrust of what's been happening

0:25:44.080 --> 0:25:47.719
<v Speaker 13>in the last couple quarters in AI, is kind of

0:25:47.760 --> 0:25:50.879
<v Speaker 13>like what calculators did for Math. I believe large language

0:25:50.920 --> 0:25:53.399
<v Speaker 13>models are going to do in many ways for things

0:25:53.480 --> 0:25:56.320
<v Speaker 13>like reading and writing. So they're going to make people

0:25:56.440 --> 0:26:01.200
<v Speaker 13>much more readily able to digest and comprehend and text

0:26:01.240 --> 0:26:04.000
<v Speaker 13>and information. We're going to be able to help people

0:26:04.600 --> 0:26:07.840
<v Speaker 13>draft concepts, so like, for example, in a Lattice world

0:26:07.840 --> 0:26:10.959
<v Speaker 13>where people are doing lots of writing around performance reviews

0:26:11.080 --> 0:26:13.800
<v Speaker 13>or goals or feedback. There's a lot of ways in

0:26:13.840 --> 0:26:16.080
<v Speaker 13>which AI can help people get to good answers more

0:26:16.160 --> 0:26:18.800
<v Speaker 13>quickly and get to good content more quickly. But I

0:26:18.960 --> 0:26:21.800
<v Speaker 13>see this as boosters for people, and the way that

0:26:21.880 --> 0:26:24.359
<v Speaker 13>calculators did for Math, I see that happening for reading

0:26:24.359 --> 0:26:26.960
<v Speaker 13>and writing, and so for companies like Lattis, but for

0:26:27.000 --> 0:26:29.080
<v Speaker 13>tons of enterprise software, I think this is going to

0:26:29.080 --> 0:26:30.960
<v Speaker 13>be one of the ways in which we see AI

0:26:31.080 --> 0:26:31.800
<v Speaker 13>really help people.

0:26:32.080 --> 0:26:34.960
<v Speaker 2>Jack. Of course, your entire business is HR tools is

0:26:34.960 --> 0:26:37.680
<v Speaker 2>efficiency as culture in many ways, and I know you've

0:26:37.680 --> 0:26:40.000
<v Speaker 2>personally had to navigate that in januarly having to let

0:26:40.080 --> 0:26:43.520
<v Speaker 2>go of people within your team and trying to think

0:26:43.600 --> 0:26:47.480
<v Speaker 2>about how you can support them. Is Ultimately this general

0:26:47.560 --> 0:26:49.840
<v Speaker 2>of AI and AI going to mean more people get

0:26:49.920 --> 0:26:51.840
<v Speaker 2>let go because they can be replaced in some.

0:26:51.800 --> 0:26:55.480
<v Speaker 13>Way, sort of like you mentioned at the beginning, We're

0:26:55.480 --> 0:26:59.680
<v Speaker 13>definitely going to see different industries and roles be impacted

0:26:59.680 --> 0:27:02.800
<v Speaker 13>in different it is. But in my view, it's most

0:27:02.960 --> 0:27:05.479
<v Speaker 13>likely that AI is not going to reduce the demand

0:27:05.520 --> 0:27:07.879
<v Speaker 13>for labor. I think it's going to increase the demand

0:27:07.880 --> 0:27:11.320
<v Speaker 13>for labor. Generally, what we see when any asset in

0:27:11.359 --> 0:27:15.240
<v Speaker 13>the economy becomes more productive is there's more demand for it.

0:27:15.640 --> 0:27:19.520
<v Speaker 13>So if a software engineer becomes three times more productive

0:27:19.560 --> 0:27:22.560
<v Speaker 13>as a result all of AI supporting them, more companies

0:27:22.560 --> 0:27:24.480
<v Speaker 13>are going to want to hire that person because they're

0:27:24.520 --> 0:27:26.640
<v Speaker 13>going to be able to produce so much more. So,

0:27:27.119 --> 0:27:29.959
<v Speaker 13>in my view, the lens should be that we're going

0:27:30.000 --> 0:27:32.199
<v Speaker 13>to become so much more productive and therefore there's going

0:27:32.240 --> 0:27:36.320
<v Speaker 13>to be much more demand for labor from companies thinking.

0:27:36.080 --> 0:27:39.040
<v Speaker 2>About lenses and AI is something that you're doing a

0:27:39.040 --> 0:27:41.280
<v Speaker 2>lot of your brother's doing a lot of of course,

0:27:41.320 --> 0:27:43.240
<v Speaker 2>in any way, some altman who I know you've built

0:27:43.280 --> 0:27:47.639
<v Speaker 2>businesses with, you live with previously, he's at the cutting

0:27:47.760 --> 0:27:50.959
<v Speaker 2>edge of where we think ethically general to AI can

0:27:51.040 --> 0:27:54.080
<v Speaker 2>be built. Do you are you on the optimistic side?

0:27:54.480 --> 0:27:56.760
<v Speaker 2>Are you thinking in general that we can harness the

0:27:56.760 --> 0:27:58.800
<v Speaker 2>productivity and we're not going to have some of the

0:27:59.000 --> 0:28:01.960
<v Speaker 2>worries about regulation this, or that it's developing just too

0:28:01.960 --> 0:28:03.000
<v Speaker 2>swiftly for humans.

0:28:05.160 --> 0:28:07.879
<v Speaker 13>I am optimistic about it. I do tend to believe

0:28:07.960 --> 0:28:11.640
<v Speaker 13>that it is going to be wildly exciting and positive

0:28:11.680 --> 0:28:15.520
<v Speaker 13>for humanity. I think it is something that is extremely potent,

0:28:15.600 --> 0:28:17.359
<v Speaker 13>and so I think it is really smart to be

0:28:17.400 --> 0:28:19.359
<v Speaker 13>paying a lot of attention. I do think it's something

0:28:19.440 --> 0:28:23.760
<v Speaker 13>that requires quite a bit of care and attention. But

0:28:24.000 --> 0:28:27.040
<v Speaker 13>that's why I think having companies with thoughtful leaders who

0:28:27.119 --> 0:28:30.240
<v Speaker 13>want to really invest into AI safety and making sure

0:28:30.280 --> 0:28:32.920
<v Speaker 13>that we're testing things before we release them to the world,

0:28:32.920 --> 0:28:34.960
<v Speaker 13>and that we're working hard on alignment. I think those

0:28:35.000 --> 0:28:38.120
<v Speaker 13>things are critical. But the way I see it, this

0:28:38.200 --> 0:28:40.120
<v Speaker 13>has got the potential to be one of the most

0:28:40.120 --> 0:28:43.960
<v Speaker 13>amazing things for humanity, and so I think investing in

0:28:44.000 --> 0:28:49.440
<v Speaker 13>it hopefully optimistically, with a lot of conviction and desire

0:28:49.480 --> 0:28:53.040
<v Speaker 13>to build that kind of world, it is the right mindset.

0:28:53.080 --> 0:28:55.120
<v Speaker 13>But of course, you know, being careful because this is

0:28:55.160 --> 0:28:58.200
<v Speaker 13>such a potent technology. I think that really matters.

0:28:59.360 --> 0:29:04.440
<v Speaker 3>Jack. Founders all across the country are considering how they

0:29:05.000 --> 0:29:09.160
<v Speaker 3>can become relevant or not miss the opportunity that AI presents.

0:29:09.160 --> 0:29:11.800
<v Speaker 3>And that's just one fact. I know you've been tweeting

0:29:11.880 --> 0:29:16.280
<v Speaker 3>about things that founders have been getting wrong. How hard

0:29:16.360 --> 0:29:18.520
<v Speaker 3>is it out there right now? Is really the question?

0:29:18.680 --> 0:29:21.200
<v Speaker 3>You know, you raised more money at the start of

0:29:21.200 --> 0:29:24.440
<v Speaker 3>the year at a significantly high evaluation at a time

0:29:24.480 --> 0:29:26.440
<v Speaker 3>where others were doing the opposite down rounds.

0:29:28.400 --> 0:29:31.320
<v Speaker 13>Yeah, I think it is a It is a challenging

0:29:31.360 --> 0:29:34.080
<v Speaker 13>time for founders in some sense relative to the last

0:29:34.120 --> 0:29:37.959
<v Speaker 13>couple of years, you know, separate from this whole AI acceleration,

0:29:38.080 --> 0:29:42.720
<v Speaker 13>which is incredibly exciting. On a completely unrelated path, we've

0:29:42.760 --> 0:29:47.320
<v Speaker 13>had this real economically challenging time for tech and specific

0:29:47.360 --> 0:29:51.080
<v Speaker 13>we've seen this happen. As you know, you've covered extremely

0:29:51.120 --> 0:29:54.280
<v Speaker 13>well tech stocks in the public markets have really suffered

0:29:54.320 --> 0:29:56.960
<v Speaker 13>for a lot of reasons, and that's led to hard

0:29:56.960 --> 0:29:59.080
<v Speaker 13>times for startups. And so you have two things going

0:29:59.120 --> 0:30:02.680
<v Speaker 13>on here se, which is that the world of investing

0:30:02.720 --> 0:30:05.520
<v Speaker 13>and raising capital for startups has really changed. But we

0:30:05.600 --> 0:30:10.440
<v Speaker 13>have this really exciting platform shift in a new technology

0:30:10.440 --> 0:30:12.800
<v Speaker 13>being developed around AI, and we're seeing more and more

0:30:12.840 --> 0:30:15.960
<v Speaker 13>startups be built with these concepts in mind. I don't think,

0:30:16.000 --> 0:30:19.480
<v Speaker 13>you know, most startups should say AI is an entire

0:30:19.640 --> 0:30:22.840
<v Speaker 13>concept for building a new company. But any idea that

0:30:22.920 --> 0:30:25.280
<v Speaker 13>you had two years ago, I think can now you

0:30:25.360 --> 0:30:28.800
<v Speaker 13>can re ask the question, in what ways does AI

0:30:28.920 --> 0:30:32.800
<v Speaker 13>help us solve this problem for customers? You know, it's

0:30:32.840 --> 0:30:36.120
<v Speaker 13>sort of a misunderstanding of the moment to say I'm

0:30:36.160 --> 0:30:37.840
<v Speaker 13>going to build AI and we'll see what happens. I

0:30:37.840 --> 0:30:40.240
<v Speaker 13>think you still need to build companies rooted in solving

0:30:40.280 --> 0:30:43.280
<v Speaker 13>real problems to real people. But AI is this technology

0:30:43.280 --> 0:30:45.240
<v Speaker 13>that can really help in a lot of in a

0:30:45.280 --> 0:30:46.800
<v Speaker 13>surprisingly large number of cases.

0:30:46.840 --> 0:30:49.200
<v Speaker 2>And let's talk about the problems that Lattice is solving,

0:30:49.240 --> 0:30:52.000
<v Speaker 2>and it's trying to make people more efficient, particularly in

0:30:52.080 --> 0:30:57.040
<v Speaker 2>working smoother, being more productive, ensuring that your workflow becomes

0:30:57.160 --> 0:31:00.720
<v Speaker 2>one that you get feedback more efficiently. About are people

0:31:00.760 --> 0:31:02.719
<v Speaker 2>wanting that at the moment you had five thousand customers,

0:31:02.800 --> 0:31:04.240
<v Speaker 2>is that still building in this environment?

0:31:05.800 --> 0:31:07.760
<v Speaker 1>Yeah? I mean I think what people want.

0:31:08.400 --> 0:31:11.080
<v Speaker 13>There are things that individuals want and that companies want,

0:31:11.120 --> 0:31:13.400
<v Speaker 13>and I think there is a deep alignment when management

0:31:13.440 --> 0:31:16.480
<v Speaker 13>has done really well. And so I think what individuals

0:31:16.520 --> 0:31:19.760
<v Speaker 13>want is they want a sense of impact. They want

0:31:19.800 --> 0:31:22.680
<v Speaker 13>to understand that their company and their manager cares about them.

0:31:22.920 --> 0:31:24.920
<v Speaker 13>They want to be part of a team doing something important,

0:31:24.960 --> 0:31:26.080
<v Speaker 13>and they want to know how they're going to be

0:31:26.080 --> 0:31:28.640
<v Speaker 13>able to grow. What companies want is to build strong

0:31:28.680 --> 0:31:30.920
<v Speaker 13>cultures of people who are going to be well equipped

0:31:31.240 --> 0:31:34.800
<v Speaker 13>to do great things and drive the business forward. And

0:31:34.880 --> 0:31:36.800
<v Speaker 13>so I think what Lattice strives to be is this

0:31:36.880 --> 0:31:40.520
<v Speaker 13>intersection of those where you find that individual and company

0:31:40.560 --> 0:31:44.200
<v Speaker 13>alignment to such a degree where those things are incredibly

0:31:44.200 --> 0:31:47.240
<v Speaker 13>in harmony. And so I think whether we are in

0:31:47.600 --> 0:31:50.680
<v Speaker 13>the sort of boon times of twenty twenty one or

0:31:51.000 --> 0:31:54.480
<v Speaker 13>the new sort of paradigm of twenty twenty three, I

0:31:54.480 --> 0:31:56.680
<v Speaker 13>think those principles hold no matter what. And so I think,

0:31:56.720 --> 0:31:59.640
<v Speaker 13>you know, for Lattice, just finding the ways to do

0:31:59.680 --> 0:32:01.960
<v Speaker 13>that for customers is still the north star.

0:32:02.680 --> 0:32:05.240
<v Speaker 2>See you have of Lattice. Thank you, Jack Altman, I

0:32:05.280 --> 0:32:08.360
<v Speaker 2>appreciate the time. Meanwhile, coming up, well, we've got to

0:32:08.400 --> 0:32:10.640
<v Speaker 2>talk more about AI in all sorts of manners. Wing

0:32:10.720 --> 0:32:13.280
<v Speaker 2>Venture Capital has actually just been backing a new AI startup,

0:32:13.320 --> 0:32:15.480
<v Speaker 2>Pine Code. It's actually New York based, valued at seven

0:32:15.520 --> 0:32:18.000
<v Speaker 2>hundred and fifty million dollars. Now we're on that next.

0:32:18.160 --> 0:32:18.920
<v Speaker 2>This is a Bloomberg.

0:32:34.840 --> 0:32:37.560
<v Speaker 3>We were just talking about generative AI and its impact

0:32:37.640 --> 0:32:40.720
<v Speaker 3>on the workplace. We've been talking about generative AI and

0:32:40.760 --> 0:32:43.200
<v Speaker 3>the arms race going on in tech all week because

0:32:43.520 --> 0:32:47.240
<v Speaker 3>at the core of earnings was artificial intelligence. Speaking of

0:32:47.280 --> 0:32:49.200
<v Speaker 3>some of the big players that reported numbers, we asked

0:32:49.240 --> 0:32:51.320
<v Speaker 3>our audience, Caro, who's.

0:32:51.040 --> 0:32:51.720
<v Speaker 5>Won for you?

0:32:51.840 --> 0:32:54.240
<v Speaker 3>Who, to your mind, has made the most convincing case

0:32:54.480 --> 0:32:57.240
<v Speaker 3>that they're leading in AI. Those answers speak for themselves.

0:32:57.320 --> 0:33:00.920
<v Speaker 2>They do. Clearly Microsoft, with their tie up being integrating

0:33:00.920 --> 0:33:03.600
<v Speaker 2>open AI's chatchipt for the fact that they're managing to

0:33:03.640 --> 0:33:08.520
<v Speaker 2>brag ed about a quadrupling in app downloads that they've had.

0:33:08.920 --> 0:33:11.600
<v Speaker 2>Clearly sat In Adela has stall in the march on

0:33:11.640 --> 0:33:14.120
<v Speaker 2>this one. I mean, what was it? Overall? Though more

0:33:14.200 --> 0:33:17.840
<v Speaker 2>than two hundred times AI was mentioned in these earnings

0:33:17.880 --> 0:33:20.560
<v Speaker 2>calls this week alone, so they're all trying to really

0:33:20.640 --> 0:33:22.120
<v Speaker 2>still a little bit of the line. Like Meta, I

0:33:22.120 --> 0:33:23.240
<v Speaker 2>think did a pretty good job on it.

0:33:23.280 --> 0:33:26.240
<v Speaker 3>Two, Yeah, I did, And I did account on the

0:33:26.240 --> 0:33:28.960
<v Speaker 3>blogs of how many times AI was mentioned in each

0:33:28.960 --> 0:33:31.400
<v Speaker 3>earning's press release, because that's the kind of guy I am.

0:33:31.440 --> 0:33:33.600
<v Speaker 3>Amazon's going to feel agreed by those results, though we'll

0:33:33.600 --> 0:33:36.280
<v Speaker 3>come back to that. So, speaking of AI, pine Cone,

0:33:36.280 --> 0:33:39.840
<v Speaker 3>the startup whose platform supports AI software, just raised one

0:33:39.880 --> 0:33:42.160
<v Speaker 3>hundred million dollars in a funding round that values the

0:33:42.200 --> 0:33:45.400
<v Speaker 3>company at around seven hundred and fifty million dollars. The

0:33:45.480 --> 0:33:49.400
<v Speaker 3>round led by Andres and Horowitz, with participation from existing

0:33:49.600 --> 0:33:54.240
<v Speaker 3>investors Menlo Ventures and Wing Venture Capital. So it's bringing

0:33:54.320 --> 0:33:59.520
<v Speaker 3>Wing Venture partner Jake Flumenberg for more the round, the timing,

0:33:59.840 --> 0:34:04.120
<v Speaker 3>the valuation, explain you'll rationale behind getting involved.

0:34:05.120 --> 0:34:07.320
<v Speaker 5>Sure, well, thank you for having me on the show.

0:34:07.680 --> 0:34:10.840
<v Speaker 14>We've been involved with this company for a long time,

0:34:10.960 --> 0:34:15.200
<v Speaker 14>certainly before the rapid adoption that we've seen as of late,

0:34:15.680 --> 0:34:18.080
<v Speaker 14>and it fundamentally has to do with the types of

0:34:18.120 --> 0:34:23.080
<v Speaker 14>things that you need for machine learning. Most relational databases,

0:34:23.080 --> 0:34:26.600
<v Speaker 14>most data warehouses, they need just data that most people

0:34:26.680 --> 0:34:28.759
<v Speaker 14>understand numbers, texts, things like this.

0:34:29.320 --> 0:34:32.200
<v Speaker 5>Machine learning algorithms operate on vectors, embeddings.

0:34:32.239 --> 0:34:34.360
<v Speaker 14>This is a different type of data that needs a

0:34:34.400 --> 0:34:37.640
<v Speaker 14>different type of database. And so if you're building a

0:34:37.719 --> 0:34:41.319
<v Speaker 14>generative AI startup or a generative AI application and you

0:34:41.360 --> 0:34:44.120
<v Speaker 14>want to marry that with your own company's data, or

0:34:44.160 --> 0:34:48.080
<v Speaker 14>if you want to remember things from one one question

0:34:48.200 --> 0:34:51.080
<v Speaker 14>to the next, you need a vector database like incomb

0:34:51.440 --> 0:34:54.840
<v Speaker 14>And so with the rise of all these generative AI applications,

0:34:54.880 --> 0:34:58.040
<v Speaker 14>we're seeing more and more people adopt Mincombe. Pine Cone

0:34:58.080 --> 0:35:01.120
<v Speaker 14>is still a really early company. Oh, public market metric

0:35:01.239 --> 0:35:03.560
<v Speaker 14>is going to say, you know, justify this valuation.

0:35:03.680 --> 0:35:06.080
<v Speaker 5>This is a valuation that's based off of the potential.

0:35:06.120 --> 0:35:09.480
<v Speaker 14>If this is the database for AI, that's a tremendous

0:35:09.520 --> 0:35:10.600
<v Speaker 14>opportunity going for.

0:35:11.120 --> 0:35:14.040
<v Speaker 2>New York based company. Jake. What's really interesting about your

0:35:14.040 --> 0:35:15.839
<v Speaker 2>background and the fact that you've been investing these sorts

0:35:15.840 --> 0:35:18.440
<v Speaker 2>of companies for a while now, including pine Cone, is

0:35:18.960 --> 0:35:22.160
<v Speaker 2>you're trying to have an expertise about how you operationalize AI.

0:35:22.239 --> 0:35:24.200
<v Speaker 2>And this is kind of at the core of all

0:35:24.239 --> 0:35:27.279
<v Speaker 2>of our conversations. Everyone's trying to work out where and

0:35:27.320 --> 0:35:29.520
<v Speaker 2>sort of the stack is the most value to be had.

0:35:29.760 --> 0:35:32.920
<v Speaker 2>You about infrastructure, Are you about big companies applying AI?

0:35:33.600 --> 0:35:35.719
<v Speaker 2>Where do you lie in terms of where the most

0:35:35.719 --> 0:35:36.480
<v Speaker 2>disruption will be?

0:35:37.080 --> 0:35:39.440
<v Speaker 14>Yeah, I mean, well, we invest in early stage companies

0:35:39.480 --> 0:35:41.799
<v Speaker 14>and so we're certainly believers that they're going to have

0:35:42.520 --> 0:35:44.800
<v Speaker 14>an outsized portion of the returns.

0:35:44.960 --> 0:35:46.479
<v Speaker 5>But we invest up and down the stack.

0:35:46.560 --> 0:35:49.800
<v Speaker 14>We've made investments in semiconductor companies, and certainly the first

0:35:49.800 --> 0:35:52.080
<v Speaker 14>group of companies are the core infrastructure.

0:35:52.280 --> 0:35:53.879
<v Speaker 5>Then you see the cloud vendors.

0:35:53.600 --> 0:35:57.080
<v Speaker 14>That are making money hosting some of these foundation in

0:35:57.160 --> 0:36:00.440
<v Speaker 14>large language models and in the limit. A lot of

0:36:00.480 --> 0:36:02.920
<v Speaker 14>these things are going to be new pieces of infrastructure,

0:36:02.920 --> 0:36:04.800
<v Speaker 14>and just the way we turn to the cloud vendors

0:36:04.840 --> 0:36:07.680
<v Speaker 14>you mentioned, we're going to turn to these AI foundation

0:36:07.800 --> 0:36:10.799
<v Speaker 14>model vendors for some of that technology, and some of

0:36:10.800 --> 0:36:13.560
<v Speaker 14>them are partnering up. But we're most excited about the

0:36:13.600 --> 0:36:16.279
<v Speaker 14>applications on top because there'll be a few winners in

0:36:16.320 --> 0:36:18.719
<v Speaker 14>each of those lower levels, but there'll be hundreds, if

0:36:18.760 --> 0:36:23.640
<v Speaker 14>not thousands of opportunities to build interesting applications powered by AI.

0:36:25.000 --> 0:36:28.240
<v Speaker 3>Jake, I'm hearing a lot of companies as similar size

0:36:28.239 --> 0:36:30.960
<v Speaker 3>to pine Cone are trying to get rounds done. You know,

0:36:31.080 --> 0:36:36.239
<v Speaker 3>early through growth stage. How wary are you all of

0:36:36.320 --> 0:36:40.600
<v Speaker 3>open ai because open ai also has a small fund

0:36:40.680 --> 0:36:44.680
<v Speaker 3>that it's investing across startups in AI and those that's

0:36:44.719 --> 0:36:47.160
<v Speaker 3>deploying its own technology.

0:36:47.239 --> 0:36:50.239
<v Speaker 14>Yeah, I would say we're not worried at all about

0:36:50.320 --> 0:36:54.320
<v Speaker 14>open ai as a source of venture capital. There's lots

0:36:54.320 --> 0:36:57.840
<v Speaker 14>and lots of dollars and certainly open ai has a

0:36:57.840 --> 0:36:59.759
<v Speaker 14>bunch of things that can bring to bear. But we

0:36:59.800 --> 0:37:02.400
<v Speaker 14>were with companies at the really early stages on that

0:37:02.480 --> 0:37:05.319
<v Speaker 14>journey from zero to partner market fit, which is a

0:37:05.480 --> 0:37:08.680
<v Speaker 14>really hands on endeavor that takes a lot of time

0:37:08.719 --> 0:37:11.160
<v Speaker 14>and energy, and I think there's a role for people

0:37:11.239 --> 0:37:11.520
<v Speaker 14>that have.

0:37:11.480 --> 0:37:13.600
<v Speaker 5>Been doing that for a long time.

0:37:13.840 --> 0:37:17.600
<v Speaker 14>In terms of open Ai as a competitor, absolutely, you know,

0:37:17.680 --> 0:37:20.319
<v Speaker 14>as a competitor it's something to watch. But it's just

0:37:20.360 --> 0:37:22.440
<v Speaker 14>like the cloud vendor landscape. We don't think it's going

0:37:22.520 --> 0:37:24.279
<v Speaker 14>to be a winner take all. We do think it's

0:37:24.280 --> 0:37:27.880
<v Speaker 14>going to settle into a small number of larger foundation

0:37:28.040 --> 0:37:30.960
<v Speaker 14>model players and we're going to use them as infrastructure.

0:37:31.120 --> 0:37:33.000
<v Speaker 5>So they're a building block, they're an enabler.

0:37:33.680 --> 0:37:36.719
<v Speaker 2>Well, you're someone who's had leadership roles that it's cloud era,

0:37:36.840 --> 0:37:39.239
<v Speaker 2>so got a lot of experience from software to the

0:37:39.239 --> 0:37:41.440
<v Speaker 2>AI journey. We thank you so much. We venture capital

0:37:41.440 --> 0:37:53.080
<v Speaker 2>partner Jake Flumenberg, great to have you. From Cochella live

0:37:53.080 --> 0:37:55.560
<v Speaker 2>stream to having influences belled out the hottest viral song

0:37:55.600 --> 0:37:58.399
<v Speaker 2>on a short YouTube. It seems to always be looking

0:37:58.440 --> 0:38:01.000
<v Speaker 2>for new innovative ways to bring music to the masses,

0:38:01.000 --> 0:38:04.479
<v Speaker 2>despite some pretty tough competition in the digital space. Neil

0:38:04.600 --> 0:38:07.239
<v Speaker 2>Cohen YouTube Global had of Music speak to us Ana.

0:38:08.239 --> 0:38:13.840
<v Speaker 12>We're a global platform and we're focused on Our mission

0:38:14.760 --> 0:38:17.640
<v Speaker 12>is give everybody a voice and show them the world.

0:38:18.160 --> 0:38:22.440
<v Speaker 1>And boy of we've done that. We have gone from.

0:38:22.360 --> 0:38:26.080
<v Speaker 12>Three stages where we live stream to six stages.

0:38:26.880 --> 0:38:29.000
<v Speaker 1>We've introduced shorts.

0:38:28.600 --> 0:38:33.479
<v Speaker 12>As a really fun way for the kids to suggest

0:38:34.520 --> 0:38:39.960
<v Speaker 12>their favorite artists to do some of their songs that

0:38:40.000 --> 0:38:45.160
<v Speaker 12>they want, and so they're influencing the sets they are

0:38:45.600 --> 0:38:52.600
<v Speaker 12>able to be and create lightweight short form video to

0:38:52.680 --> 0:38:56.279
<v Speaker 12>explain to the rest of the world that they were there,

0:38:56.440 --> 0:38:59.680
<v Speaker 12>they were enjoyed the experience, whether they were at Coachella

0:38:59.800 --> 0:39:02.600
<v Speaker 12>or experiencing from their living room.

0:39:03.360 --> 0:39:06.399
<v Speaker 1>We introduced for this.

0:39:06.480 --> 0:39:09.319
<v Speaker 12>It's actually the second year where shopping has been an

0:39:09.400 --> 0:39:13.000
<v Speaker 12>integral part of the experience where kids are able to

0:39:13.040 --> 0:39:18.640
<v Speaker 12>buy merchandise and you know, rock their t shirts that

0:39:18.719 --> 0:39:23.000
<v Speaker 12>they were there, that they experienced it. And of course

0:39:23.040 --> 0:39:27.040
<v Speaker 12>the production has gotten so much better, and we introduced

0:39:27.120 --> 0:39:31.320
<v Speaker 12>live chats and and so there's a lot of work

0:39:31.360 --> 0:39:38.239
<v Speaker 12>that goes into it, but it's been incredibly fun and enjoyable.

0:39:39.160 --> 0:39:42.240
<v Speaker 2>Tell us about the international focus, but this was interesting

0:39:42.239 --> 0:39:44.480
<v Speaker 2>about the lineup of Coachella this year was, Yes, there

0:39:44.480 --> 0:39:48.120
<v Speaker 2>were the big American artists, but I'm also thinking Black Pink,

0:39:48.160 --> 0:39:51.480
<v Speaker 2>I'm thinking Bad Bunny, these truly international stars. So how

0:39:51.520 --> 0:39:53.520
<v Speaker 2>much was the viewership coming internationally?

0:39:54.400 --> 0:39:59.160
<v Speaker 12>Well over sixty five percent of viewership came from outside

0:39:59.160 --> 0:40:04.480
<v Speaker 12>of America. And when the fans are able to experience

0:40:05.400 --> 0:40:11.640
<v Speaker 12>Nigerian Burner Boy, Korean Black Pink, and I don't know

0:40:11.680 --> 0:40:15.200
<v Speaker 12>if you saw, but Rosalia shut the place down. She's

0:40:15.239 --> 0:40:19.600
<v Speaker 12>from Spain and was one of the most moving performances.

0:40:20.200 --> 0:40:25.719
<v Speaker 12>And we had the first Punjabi artist perform and they're

0:40:26.000 --> 0:40:30.080
<v Speaker 12>celebrating in India the fact that they have an Indian

0:40:30.200 --> 0:40:37.000
<v Speaker 12>Pujabi artist on Coachella, and it's just fabulous to see.

0:40:35.960 --> 0:40:38.640
<v Speaker 2>Leo Cohen there, global head of Music at YouTube now

0:40:38.800 --> 0:40:41.480
<v Speaker 2>ed but He's sort of like the man almost that

0:40:41.560 --> 0:40:43.759
<v Speaker 2>helped drive the birth of hip hop. He was there

0:40:44.080 --> 0:40:47.880
<v Speaker 2>and unsigned Rumdiancy. He can see around corners. What's interesting

0:40:47.960 --> 0:40:50.360
<v Speaker 2>is pretty optimist about AI's impact on music.

0:40:50.840 --> 0:40:53.359
<v Speaker 3>Yeah, you and I grew up in the MTV era, right,

0:40:53.520 --> 0:40:55.920
<v Speaker 3>video and music? How do you push it forward? It

0:40:55.960 --> 0:40:56.840
<v Speaker 3>is so fascinating.

0:40:57.000 --> 0:40:59.360
<v Speaker 2>Yeah, his artists don't seem to be worried about official

0:40:59.400 --> 0:41:01.880
<v Speaker 2>intelligency in their lunch for now. That does it for

0:41:01.920 --> 0:41:03.200
<v Speaker 2>this edition of Bloomberg Technology.

0:41:03.239 --> 0:41:05.960
<v Speaker 3>Yet, such a huge week, so much recap, So don't

0:41:05.960 --> 0:41:09.640
<v Speaker 3>forget the podcast, Apple, Spotify, iHeart Bloomberg. Join us on

0:41:09.680 --> 0:41:13.560
<v Speaker 3>Twitter spaces right now on Twitter, This is Bloomberg