WEBVTT - Amazon HQ2 Construction on Pause and Another Apple Exec Leaves

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<v Speaker 1>I'm Caroline High and I'm ad Love though, both of

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<v Speaker 1>us in San Francisco. The final time this week, Busy Friday.

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<v Speaker 1>This is Bloomberg Technology. The markets risk on Friday, the

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<v Speaker 1>headlines flying left right in center, and I'll tell you

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<v Speaker 1>there's one asset class that is not risk on today too.

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<v Speaker 1>We'll dig into all of that. First coming up, Amazon

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<v Speaker 1>puts construction of its second headquarters on hold following its

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<v Speaker 1>biggest ever job cuts, and Apple's executive exodus continues. This

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<v Speaker 1>time is the person in charge of I Cloud, I

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<v Speaker 1>Message and FaceTime and Silvergate's struggle for survival. It's weighing

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<v Speaker 1>on overall crypto sentiment. Bloomberg breaking the story that constructions

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<v Speaker 1>being paused Carrow in Virginia on HQU two. That second

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<v Speaker 1>phase of construction the three twenty two story towers really interesting.

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<v Speaker 1>Let's get into the d Tell the person who broke

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<v Speaker 1>the story one, Matt Day is with us, and just

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<v Speaker 1>talk to us, Matt about the importance of this second

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<v Speaker 1>phase of the construction, because it's actually the bigger part

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<v Speaker 1>of the construction. Right, Yeah, that's right. They're just now

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<v Speaker 1>wrapping up the construction of two twenty two story towers.

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<v Speaker 1>That's the first phase. It's basically done. Amazon moves their

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<v Speaker 1>eight thousand workers in the area into those fieldities this

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<v Speaker 1>spring and summer. What's a issue here is a much

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<v Speaker 1>larger three twenty two story towers. It's the part of

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<v Speaker 1>the complex. It's going to have the helix, the sort

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<v Speaker 1>of spiral poopamoji shaped building that's going to have a

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<v Speaker 1>bunch of plants in it, big conference center, the centerpiece

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<v Speaker 1>architecturally of the campus that Amazon hopes to build. All

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<v Speaker 1>that's on pause right now, no digging for the foreseable future. Hey, Matt,

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<v Speaker 1>I know that last April this was approved and sources

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<v Speaker 1>of telling us that Amazon was ready to pull the trigger.

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<v Speaker 1>They held off. They then considered getting shovels in the

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<v Speaker 1>ground to start the year. What did Amazon tell you

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<v Speaker 1>about this decision? Why they decided to hit the brakes?

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<v Speaker 1>So they said some of the obvious things you'd think,

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<v Speaker 1>you know, like listen, we're not sure what kind of

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<v Speaker 1>hiring we're going to be doing in the next couple

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<v Speaker 1>of years. They've had a hiring freezon since late last year.

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<v Speaker 1>We don't know when that lifts. And there's also just

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<v Speaker 1>a different vibe around Amazon today. Than there was when

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<v Speaker 1>they announced this campus in the first place. You know,

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<v Speaker 1>back then they were growing billiaps and bounds. They'd run

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<v Speaker 1>out of space in Seattle. They were searching for really

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<v Speaker 1>anywhere to put people all across the country. So twenty

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<v Speaker 1>five thousand was not so ambitious a target then. It

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<v Speaker 1>looks a lot more ambitious today. Just looking at pictures

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<v Speaker 1>of that poop emojie as you called it, I thought

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<v Speaker 1>it was a helix. I think we hadn't heard it

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<v Speaker 1>called that officially yet, Matt, talk to us though about

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<v Speaker 1>you know, the serious nature of this is that Arlington,

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<v Speaker 1>Virginia is going to be worried. In particular, they think

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<v Speaker 1>of the tax breaks well eight hundred million dollars worth

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<v Speaker 1>given to Amazon to lure them to bring in what

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<v Speaker 1>twenty five thousand workers, that's right. But the good news

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<v Speaker 1>for Arlington anyways, they haven't handed anything over yet. You know,

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<v Speaker 1>some of the tax breakes related to hotel occupancy fees

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<v Speaker 1>I would get sent Amazon's way, But a lot of

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<v Speaker 1>them were just job related, Like once they started put

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<v Speaker 1>butts and seats and they hit certain targets, you know,

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<v Speaker 1>then they'd get tax breaks on on the payroll taxes there,

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<v Speaker 1>so that that money hasn't started changing hands yet. That's

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<v Speaker 1>the good news for Arlington is if Amazon says they're

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<v Speaker 1>committed to it, they still think that they're getting a

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<v Speaker 1>pretty good deal winning if Amazon does complete the campus

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<v Speaker 1>as they've planned. Bloomberg's Matt Day reporting out of Seattle.

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<v Speaker 1>Good stuff, Thank you so much. Let's branch out a

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<v Speaker 1>little bit and talk about tech more broadly. Denny Fish,

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<v Speaker 1>portfolio manager at Janie Henderson, managing four billion dollars across

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<v Speaker 1>funds in the tech space, leading technology research. It's interesting, Denny.

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<v Speaker 1>I won't put you on the spot when it comes

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<v Speaker 1>to Amazon specifically. I know you hold that stock in

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<v Speaker 1>your funds, But as an example, Amazon kind of hitting

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<v Speaker 1>the brakes on the real estate side, having already worked

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<v Speaker 1>on the layoff side. What is that telling you about

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<v Speaker 1>about the technology set right now? The prudence that it's

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<v Speaker 1>kind of going through, well, it's it's definitely different than

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<v Speaker 1>it was twelve months ago in terms of the general

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<v Speaker 1>philosophy for the background, both in terms of in Amazon's

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<v Speaker 1>case specifically, it's a company that overhired during the pandemic,

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<v Speaker 1>put a lot of capital to work and logistics and fulfillment.

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<v Speaker 1>You know, we're just talking about, you know, the headquarters

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<v Speaker 1>being put on pause. And the challenge for Amazon is twofold.

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<v Speaker 1>You have this highly profitable growth business, Amazon Web Services

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<v Speaker 1>that's starting to slow. But more importantly for them, they're

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<v Speaker 1>really a physical business with a digital front end. And

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<v Speaker 1>as a result, there's only one way to get out

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<v Speaker 1>of that situation when you overinvest, and you either have

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<v Speaker 1>to significantly reduce your footprint, which is really hard for

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<v Speaker 1>them to do because of the nature of what fulfillment

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<v Speaker 1>and logistics represents. So they have to grow out of it,

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<v Speaker 1>and they have to get efficiencies on a unit profitability basis,

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<v Speaker 1>and that's what the company is grinding through right now.

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<v Speaker 1>And then when you exacerbate that with a tough economic environment,

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<v Speaker 1>it just makes it that much harder and that much

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<v Speaker 1>longer to recoup and start to actually drive some leverage

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<v Speaker 1>out of those investments that they've made. The other story

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<v Speaker 1>of the week has been earnings, and I think about

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<v Speaker 1>names like Dell and then contrast that with Broad Common.

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<v Speaker 1>We're getting kind of really make signals about demand from

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<v Speaker 1>corporate America, global corporates and the consumer kind of what's

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<v Speaker 1>your tea leaves read of this week and what we're

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<v Speaker 1>seeing from tech. You know, I would say broadly the

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<v Speaker 1>entire earning season if we wanted to unpack that, and

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<v Speaker 1>this was just a continuation of that, and that is

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<v Speaker 1>that if we look across sectors, you know, semiconductors are

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<v Speaker 1>always the leading indicators for global economic growth or global

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<v Speaker 1>economic slowdowns, and we've seen a material slowdown there, most

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<v Speaker 1>companies lowering expectations pretty materially for the year. But nonetheless

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<v Speaker 1>the stocks have actually been responding all right, which is

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<v Speaker 1>really encouraging because semiconductors are the first ones to actually

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<v Speaker 1>start to discount the upturn as well when they're incredible

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<v Speaker 1>businesses with great industry structure, but nonetheless that's where we're at,

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<v Speaker 1>and they're highly economically sensitive. And then you have kind

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<v Speaker 1>of the secular growth stories and software and internet and

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<v Speaker 1>other sectors where things are still growing, but they're just

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<v Speaker 1>not growing nearly as fast as the economy starts to

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<v Speaker 1>take hold as well as there was just so much

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<v Speaker 1>capital that came into the space over you know, a

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<v Speaker 1>five to seven year period, and the market's really starting

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<v Speaker 1>to discern now within these names on the unit economics,

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<v Speaker 1>and you know, companies that have really good, strong, durable

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<v Speaker 1>competitive positions, really durable unit economics, and those are the

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<v Speaker 1>companies that are likely to perform as we get to

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<v Speaker 1>the other side of this, you know, economic situation that

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<v Speaker 1>we're in right now and strong balance sheets. And I

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<v Speaker 1>just want to bring this particular point that was really

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<v Speaker 1>driven home by g Sam a little bit earlier. Just

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<v Speaker 1>take you listen to any tech is getting grouped in

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<v Speaker 1>with growth quote unquote if you will. But there's a

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<v Speaker 1>lot of quality. There's good balance sheet, there's a lot

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<v Speaker 1>of cash, there's the ability to still do m and

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<v Speaker 1>a strong activities. And so again we're really focused on

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<v Speaker 1>there are some strong, solid micro stories and it's less hey,

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<v Speaker 1>let's buy the index. All people sort of throwing babies

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<v Speaker 1>out with bath waters, to use that awful phrase, but

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<v Speaker 1>ultimately people tying everything up. Some great big babies in there.

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<v Speaker 1>You're throwing those out? Yeah? Or have we now discerned

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<v Speaker 1>that Microsoft, which I think is your largest holding, some

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<v Speaker 1>other companies are of a different beast and actually perhaps

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<v Speaker 1>don't see them as growth stocks in the way they

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<v Speaker 1>used to. Well, I think it's twofold. There are a

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<v Speaker 1>couple of dynamics that are going on. If we just

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<v Speaker 1>think about what I call the gigacaps. Okay, so kind

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<v Speaker 1>of think about feng Ma. You know, broadly speaking, we

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<v Speaker 1>have started to see a lot more discernment in terms

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<v Speaker 1>of the multiples we've seen where you know, Google's traded

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<v Speaker 1>much lower in terms of its you know, expected earnings multiple.

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<v Speaker 1>Microsoft and Apple have continued to hold their multiples, I think,

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<v Speaker 1>just given the confidence in those business models over the

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<v Speaker 1>longer term, and all of these companies are getting a

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<v Speaker 1>lot more competitive with each other. You know, if we

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<v Speaker 1>just think about the idea of AI and what we've

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<v Speaker 1>seen with open AI and chat GPT and the potential

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<v Speaker 1>implications to Google search business. But that's all upside for Microsoft,

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<v Speaker 1>and so the market's trying to figure out what this

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<v Speaker 1>is going to mean over the longer term. And then, yeah,

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<v Speaker 1>I would say twenty twenty two, we just kind of

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<v Speaker 1>threw everything out, you know it with the bathwater, and

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<v Speaker 1>then early this year we've had this risk on rally,

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<v Speaker 1>not you know, the last week and a half or so,

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<v Speaker 1>which has been a little choppier, but coming into this

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<v Speaker 1>year now like it's it's one of those classic early

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<v Speaker 1>cycle potential rallies. I don't know if it's a bear

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<v Speaker 1>market rally. I don't know if it's an early cycle rally,

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<v Speaker 1>but it feels more like an early cycle rally because

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<v Speaker 1>everything then rises and then what usually happens is you

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<v Speaker 1>get six or nine months down the road. It's the

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<v Speaker 1>companies that have the real financial performance that really start

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<v Speaker 1>shining through, and that's where you start to generate your

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<v Speaker 1>returns over a multi year basis. And tech Okay, you

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<v Speaker 1>mentioned Chat Pizza, and one of the key megacaps that

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<v Speaker 1>has outperformed so far this year is in Nvidia. I

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<v Speaker 1>know it's holding of uls. All you making bets now

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<v Speaker 1>on who is best place in the artificial intelligence race

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<v Speaker 1>right now? Yeah, we are. You know, obviously, as you mentioned,

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<v Speaker 1>Invidia's an obvious one for the moment because the fact

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<v Speaker 1>of the matter is you can't deploy GPT without a

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<v Speaker 1>ton of GPUs, right, I mean, it's just like that's

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<v Speaker 1>that's what it is. And now is that going to persist?

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<v Speaker 1>You know, there's still the opportunity for companies to develop

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<v Speaker 1>application specific processors that might be more efficient for certain

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<v Speaker 1>types of models. So that's a risk. One of the

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<v Speaker 1>most amazing parts of Nvidia's growth story over many years

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<v Speaker 1>has been Kuda. It's software platform for developers that makes

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<v Speaker 1>it easier to program against GPUs and sort of has

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<v Speaker 1>allowed it to win the race. Is that going to

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<v Speaker 1>be a competitive advantage in a world of generative AI

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<v Speaker 1>and large, large language models. We're not quite sure on that,

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<v Speaker 1>but for now there's probably no cleaner play than than

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<v Speaker 1>in video. But as you start thinking across the ecosystem,

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<v Speaker 1>you know, it's interesting. We just mentioned Microsoft for example.

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<v Speaker 1>Anything they do with being is all upside, you know,

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<v Speaker 1>And could they can potentially displace Google as the default

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<v Speaker 1>on iOS? Could they What do you think they potentially could?

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<v Speaker 1>It's clearly in their ambition and all things equal, Um,

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<v Speaker 1>if you're Apple, you just want to provide a consistent

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<v Speaker 1>user experience and you want to extract as much economic

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<v Speaker 1>value as you can GPT GPU. I'll hit you in

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<v Speaker 1>another acronym that Karen and I have been hearing every day. Fomo.

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<v Speaker 1>That was comes you by me is what we're seeing

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<v Speaker 1>in the market broadly. Fomo. You know, C three AI

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<v Speaker 1>is a name another third percent today based on fundamentals,

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<v Speaker 1>I think I think not, No, it's not and and

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<v Speaker 1>so fomo is driving you know, so when I talked

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<v Speaker 1>about that classic so we have two things. We've kind

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<v Speaker 1>of had that classic early cycle behavior in terms of

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<v Speaker 1>the market, and then we also have you know, the

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<v Speaker 1>thematic artificial intelligent. It's kind of you know, investing environment

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<v Speaker 1>and institution and retail investors get behind and it's easy

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<v Speaker 1>to kind of throw some capital at some names like that.

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<v Speaker 1>But and so the reality is like that is a

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<v Speaker 1>lot of FOMO, right because the fundamentals haven't changed that much.

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<v Speaker 1>There aren't a lot of pure ways to actually play

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<v Speaker 1>artificial intelligence, and it's really going to be more of

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<v Speaker 1>what can actually enhance the value of an existing business um,

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<v Speaker 1>you know, where companies are well positioned on the infrastructure

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<v Speaker 1>side to you know benefit from you know, the massive

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<v Speaker 1>buildouts that we're going to actually have to see to

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<v Speaker 1>support this. And and but we're also going to see

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<v Speaker 1>a ton we always see this, a ton of speculation

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<v Speaker 1>around the edges and sort of maybe some of the

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<v Speaker 1>less proven. But you know, a company that has AI

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<v Speaker 1>and it's you know, yeah, exactly, well let's go from

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<v Speaker 1>AI to VR because ED was helping break great scoops

0:12:09.760 --> 0:12:13.920
<v Speaker 1>on Meta today and ultimately this company is having to

0:12:14.000 --> 0:12:18.320
<v Speaker 1>cut prices of its pretty expensive virtual reality headsets. That

0:12:18.480 --> 0:12:20.280
<v Speaker 1>still there's a lot of hope, a lot of hype,

0:12:20.360 --> 0:12:23.320
<v Speaker 1>perhaps not in the purchasing that many had anticipated, but

0:12:23.400 --> 0:12:25.920
<v Speaker 1>you've been adding to your meta position. What was another

0:12:26.000 --> 0:12:29.240
<v Speaker 1>back of that, Yeah, so it's it's it's interesting. It's

0:12:29.280 --> 0:12:33.640
<v Speaker 1>not because of ARVR, to be clear. Yeah, yeah, it's

0:12:33.640 --> 0:12:35.400
<v Speaker 1>not the metaver you know. The metaverse is like, it's

0:12:35.400 --> 0:12:37.280
<v Speaker 1>this thing we've been talking about for many, many years,

0:12:37.559 --> 0:12:40.200
<v Speaker 1>and it's going to evolve more slowly, right because you're

0:12:40.200 --> 0:12:43.440
<v Speaker 1>gonna have a bunch of different metaverses, consumer, enterprise, different

0:12:43.520 --> 0:12:46.960
<v Speaker 1>use cases. What's interesting about meta one is the stock

0:12:47.000 --> 0:12:50.520
<v Speaker 1>got too darn cheap. Okay, the expectation was, you know,

0:12:50.600 --> 0:12:53.000
<v Speaker 1>they had to do something to repair their stock price

0:12:53.040 --> 0:12:55.480
<v Speaker 1>and get aggressive with their cost structure, and they did

0:12:55.520 --> 0:12:57.199
<v Speaker 1>so that was part of the thesis. But there's another

0:12:57.200 --> 0:13:01.440
<v Speaker 1>part of the thesis too, and that is about eighteen

0:13:01.480 --> 0:13:07.080
<v Speaker 1>months ago, Apple effectively exercised its market power and you

0:13:07.160 --> 0:13:11.200
<v Speaker 1>had two things you hadda yeah, yeah, yeah exactly, or

0:13:11.400 --> 0:13:15.360
<v Speaker 1>reduced ad tracking right with IDFA and ATT and oh

0:13:18.160 --> 0:13:22.680
<v Speaker 1>they're they're two more and that really hurt meta. It

0:13:22.880 --> 0:13:26.280
<v Speaker 1>really inhibited their ability to drive return on AD spend

0:13:26.559 --> 0:13:30.679
<v Speaker 1>because they lost the ability to retarget and measure consumers

0:13:30.920 --> 0:13:35.280
<v Speaker 1>across the broader Internet. Now what's interesting is they are

0:13:35.440 --> 0:13:38.480
<v Speaker 1>one of the largest buyers of GPUs right now on

0:13:38.520 --> 0:13:41.120
<v Speaker 1>the planet. They're rear connecting their data centers and the

0:13:41.200 --> 0:13:43.200
<v Speaker 1>reason they're doing it is they're all in on AI

0:13:43.640 --> 0:13:46.960
<v Speaker 1>to drive better AD measurement. To the extent they're able

0:13:47.000 --> 0:13:50.319
<v Speaker 1>to do that, they might actually widen their competitive advantage

0:13:50.360 --> 0:13:54.720
<v Speaker 1>over time. And it's kind of like a maybe not

0:13:54.880 --> 0:13:58.120
<v Speaker 1>quite as obvious way to think about a company that

0:13:58.160 --> 0:14:01.400
<v Speaker 1>could benefit from AI, given how bad it's been hurt

0:14:01.440 --> 0:14:06.360
<v Speaker 1>by Apples so far. Love that thesis. Come back, Denny.

0:14:06.400 --> 0:14:08.160
<v Speaker 1>It's been a joy to actually here's that next to

0:14:08.160 --> 0:14:10.840
<v Speaker 1>you up San Francisco. But hope you come back into

0:14:10.840 --> 0:14:12.319
<v Speaker 1>the office. We thank you for making a special trip

0:14:12.360 --> 0:14:16.920
<v Speaker 1>to Sidney. Jannis Henderson, portfolio manager, Denny Quish coming up

0:14:17.240 --> 0:14:20.160
<v Speaker 1>another key Apple executive, just talking about that company. When

0:14:20.160 --> 0:14:22.800
<v Speaker 1>they're leaving the company, will discuss why this has Bloomberg,

0:14:33.680 --> 0:14:36.880
<v Speaker 1>the executive in charge of Apple's I Cloud, I message

0:14:36.880 --> 0:14:40.720
<v Speaker 1>and FaceTime infrastructure, is leaving the company, according to sources,

0:14:40.760 --> 0:14:43.120
<v Speaker 1>after five years in the role. Michael Abbott is stepping

0:14:43.200 --> 0:14:46.520
<v Speaker 1>down as the company's cloud chief next month. It adds

0:14:46.560 --> 0:14:50.000
<v Speaker 1>to the revolving door of executives at the company. Bloomberg

0:14:50.080 --> 0:14:53.200
<v Speaker 1>Senior technology editor Nigg Turner is here with us the

0:14:53.280 --> 0:14:56.800
<v Speaker 1>revolving door. I think that's part of the story, isn't it. Yes.

0:14:56.880 --> 0:14:59.160
<v Speaker 1>I mean, you know, it's not necessarily uncommon around the

0:14:59.240 --> 0:15:01.440
<v Speaker 1>end of the year for certain number of Apple executives

0:15:01.440 --> 0:15:04.560
<v Speaker 1>to leave. It feels like more than normal this year,

0:15:05.280 --> 0:15:07.880
<v Speaker 1>especially between now and like the sort of the last

0:15:07.880 --> 0:15:10.200
<v Speaker 1>few months of the year, you've had a lot of

0:15:10.240 --> 0:15:12.840
<v Speaker 1>sort of VP level people in charge of everything from

0:15:12.880 --> 0:15:16.120
<v Speaker 1>kind of industrial design, the chief privacy officer to the

0:15:16.200 --> 0:15:21.240
<v Speaker 1>head of the website, you know, depart resart. So April

0:15:21.480 --> 0:15:23.520
<v Speaker 1>is the time that he's going to be particularly leaving.

0:15:23.560 --> 0:15:26.280
<v Speaker 1>Michael about nuts in large part because of when it

0:15:26.480 --> 0:15:30.800
<v Speaker 1>shares best right. I'm interested though, on whether they're filling

0:15:31.120 --> 0:15:34.720
<v Speaker 1>these roles that swichly in some cases, and in this case,

0:15:34.760 --> 0:15:36.960
<v Speaker 1>they are having someone take over his duties, which is

0:15:37.000 --> 0:15:40.480
<v Speaker 1>Jeff Robin, who's the guy who invented iTunes. So that's

0:15:40.520 --> 0:15:45.640
<v Speaker 1>not a bad flax claim nice, you know. So in

0:15:45.760 --> 0:15:49.080
<v Speaker 1>some other cases they're basically divvying up duties and giving

0:15:49.080 --> 0:15:50.840
<v Speaker 1>them other people. There's not really going to be a

0:15:50.920 --> 0:15:53.480
<v Speaker 1>chief privacy officer the way there was before, for instance,

0:15:53.840 --> 0:15:57.760
<v Speaker 1>the industrial design person. They essentially giving those duties to

0:15:57.800 --> 0:15:59.800
<v Speaker 1>different people, which is pretty big deal because that used

0:15:59.840 --> 0:16:02.320
<v Speaker 1>to be Johnny I and right, you know the heart

0:16:02.360 --> 0:16:04.920
<v Speaker 1>of Apple more real quick, We've only got about thirty seconds.

0:16:04.920 --> 0:16:07.960
<v Speaker 1>But the serious thing is that services is important, right, well,

0:16:08.000 --> 0:16:10.880
<v Speaker 1>so everything cloud related. That's been huge for them. I

0:16:10.880 --> 0:16:12.640
<v Speaker 1>think there's been a bit attention over the years in

0:16:12.680 --> 0:16:14.760
<v Speaker 1>terms of how much they rely on like Amazon and

0:16:14.800 --> 0:16:18.280
<v Speaker 1>Google to do cloud versus doing it themselves. And so

0:16:18.400 --> 0:16:20.520
<v Speaker 1>maybe that's something the new person will have to sort

0:16:20.520 --> 0:16:24.000
<v Speaker 1>of sort out too, but they do basically a mix

0:16:24.040 --> 0:16:28.280
<v Speaker 1>at the moment. Nick, fascinating, great story coming from Mark

0:16:28.320 --> 0:16:30.760
<v Speaker 1>German and Nick turn a key team pays. We thank

0:16:30.760 --> 0:16:42.240
<v Speaker 1>you so much for coming on explaining it all time.

0:16:42.280 --> 0:16:46.160
<v Speaker 1>Now for talking tech, let's start with AI artificial intelligence

0:16:46.200 --> 0:16:49.600
<v Speaker 1>startup Inflection AI seeking to raise as much as six

0:16:49.720 --> 0:16:52.880
<v Speaker 1>hundred and seventy five million dollars that according to the

0:16:52.920 --> 0:16:57.000
<v Speaker 1>Financial Times, citing sources. That's the company Carrow, founded by

0:16:57.080 --> 0:17:00.480
<v Speaker 1>Mustapha Sulliman, one of Deep Minds founders, as well as

0:17:00.520 --> 0:17:05.280
<v Speaker 1>LinkedIn creator Reid Hoffman, speaking of which Reid Hoffman has

0:17:05.320 --> 0:17:08.720
<v Speaker 1>announced he'll step back from the Open Ai board and

0:17:08.880 --> 0:17:14.040
<v Speaker 1>citing greater transparency because Graylock his firm is increasingly investing

0:17:14.080 --> 0:17:18.359
<v Speaker 1>in companies using open ais APIs, Hoffman says this cou

0:17:18.480 --> 0:17:21.680
<v Speaker 1>cause a conflict of interest. He's been a personal investor

0:17:21.720 --> 0:17:24.600
<v Speaker 1>through his charities and on the board of open Ai

0:17:24.880 --> 0:17:28.320
<v Speaker 1>since twenty fifteen. And finally, don't miss this one, Gwyneth

0:17:28.400 --> 0:17:32.320
<v Speaker 1>Paltrow Kinship Ventures raising seventy five million dollars for its

0:17:32.400 --> 0:17:36.560
<v Speaker 1>debut fund Axios reporting without citing where it got the information,

0:17:36.560 --> 0:17:39.240
<v Speaker 1>act says the firm is looking to invest in early

0:17:39.359 --> 0:17:44.080
<v Speaker 1>stage consumer goods and technology companies. Very on brand for

0:17:44.080 --> 0:17:46.920
<v Speaker 1>one gwyn Poutrow Caroline, and interesting that she's doing it

0:17:46.960 --> 0:17:50.280
<v Speaker 1>in line with Mujera we understand as well. Now MOS

0:17:50.480 --> 0:17:53.720
<v Speaker 1>was coming from Beauty Khan and really focusing on the

0:17:53.760 --> 0:17:57.320
<v Speaker 1>beauty side of investment, but also luckily having interacted a

0:17:57.320 --> 0:18:00.959
<v Speaker 1>plenty with Mos in the previous times through women's networks,

0:18:01.000 --> 0:18:03.119
<v Speaker 1>I know how focus she is on ensuring that women

0:18:03.600 --> 0:18:07.040
<v Speaker 1>that diverse leadership and indeed people get a seat at

0:18:07.040 --> 0:18:10.160
<v Speaker 1>the cap Table are able to invest in fast growing companies.

0:18:10.200 --> 0:18:13.640
<v Speaker 1>So this is an interesting area that of course herself,

0:18:13.920 --> 0:18:17.479
<v Speaker 1>Gwyneth paltrowa business lady Goop no Lesque getting into and

0:18:17.480 --> 0:18:20.000
<v Speaker 1>also she moved on from acting to be an entrepreneur.

0:18:20.240 --> 0:18:22.320
<v Speaker 1>And I think the idea is very much like, I've

0:18:22.359 --> 0:18:26.000
<v Speaker 1>got some money to play with here to support entrepreneurs

0:18:26.040 --> 0:18:29.040
<v Speaker 1>that I see myself. I'm, you know, Avench capitalists finding

0:18:29.119 --> 0:18:33.480
<v Speaker 1>like minded people, similarly experienced people. Speaking of Avench capital

0:18:33.520 --> 0:18:35.200
<v Speaker 1>I think we've got to go back to read Hoffman.

0:18:35.520 --> 0:18:39.280
<v Speaker 1>This is really interesting. The basics are we are investing

0:18:39.320 --> 0:18:43.320
<v Speaker 1>in all sorts of AI related startups. Those AI related

0:18:43.400 --> 0:18:48.720
<v Speaker 1>startups are using GPT three point five. I can't be

0:18:48.760 --> 0:18:50.679
<v Speaker 1>on the board anymore. That is a big piece of

0:18:50.680 --> 0:18:53.720
<v Speaker 1>industry news, given everything that's happened so far this year. Yeah,

0:18:53.760 --> 0:18:56.920
<v Speaker 1>I really think that we've been interviewing the likes of Neiva,

0:18:57.000 --> 0:19:00.200
<v Speaker 1>for example, which in some ways as a competitor to

0:19:00.280 --> 0:19:02.760
<v Speaker 1>the likes of open Ai by not only having a

0:19:02.800 --> 0:19:06.399
<v Speaker 1>search engine that's built around these sort of large language models,

0:19:06.440 --> 0:19:08.760
<v Speaker 1>but also being able to cite where the information is

0:19:08.760 --> 0:19:11.719
<v Speaker 1>coming from. We've interviewed that CEO before and that's our

0:19:11.760 --> 0:19:13.960
<v Speaker 1>relationships were certainly see such a screen looks. So I

0:19:13.960 --> 0:19:16.840
<v Speaker 1>think this is an interesting area that there's gonna be

0:19:16.920 --> 0:19:19.840
<v Speaker 1>a lot of investment being thrown into the AI space,

0:19:19.920 --> 0:19:22.280
<v Speaker 1>and some will be competitors and some will be able

0:19:22.320 --> 0:19:24.119
<v Speaker 1>to grow in tandem. Well very quick. We had some

0:19:24.440 --> 0:19:26.679
<v Speaker 1>Motmedi his colleague on the show just a couple of

0:19:26.680 --> 0:19:28.640
<v Speaker 1>weeks ago, right, and he makes the point I'm looking

0:19:28.680 --> 0:19:32.680
<v Speaker 1>at enterprise companies how they can take existing tools because

0:19:32.720 --> 0:19:35.080
<v Speaker 1>AI will improve every single company I think, is what

0:19:35.119 --> 0:19:38.600
<v Speaker 1>he said. So this makes sense based on the activity

0:19:38.680 --> 0:19:50.640
<v Speaker 1>that we're seeing out there. Welcome back to being my technology.

0:19:50.640 --> 0:19:52.919
<v Speaker 1>I'm Parranghi and I made lovelow, both of us in

0:19:52.960 --> 0:19:55.320
<v Speaker 1>San Francisco for the final time this week. I'm sad

0:19:55.600 --> 0:19:58.440
<v Speaker 1>to say. Now, let's get to crypto markets. They're struggling

0:19:58.840 --> 0:20:02.919
<v Speaker 1>to power through the implosion of silver Gate Capital, the

0:20:02.960 --> 0:20:06.520
<v Speaker 1>bank one of the main banking providers for the crypto industry,

0:20:06.920 --> 0:20:10.000
<v Speaker 1>which is why we're seeing sentiment drop in other crypto

0:20:10.080 --> 0:20:13.720
<v Speaker 1>related assets, Bitcoin hitting a two week low. For more,

0:20:14.280 --> 0:20:17.960
<v Speaker 1>Let's bring in Bloomberg's Uchi Yanguchi. So many headlines on

0:20:18.000 --> 0:20:21.400
<v Speaker 1>the Bloomberg this Friday. What is the latest with silver Gate.

0:20:21.920 --> 0:20:25.480
<v Speaker 1>So we're really is still seeing the ripple effect from

0:20:25.480 --> 0:20:29.440
<v Speaker 1>the collapse of FTX last November. As we know, FTX

0:20:29.560 --> 0:20:32.959
<v Speaker 1>is a major client of Surrogate, and the Surrogate as

0:20:32.960 --> 0:20:35.679
<v Speaker 1>a results suffered from a bank round last year. But

0:20:35.760 --> 0:20:38.240
<v Speaker 1>then this week the bank said that they couldn't really

0:20:38.280 --> 0:20:41.280
<v Speaker 1>file their annual filings on time. They said that this

0:20:41.520 --> 0:20:45.240
<v Speaker 1>disclosed more losses for selling securities, and then they said

0:20:45.240 --> 0:20:49.000
<v Speaker 1>they're evaluating if they can stay aflawed internally, and they

0:20:49.040 --> 0:20:52.960
<v Speaker 1>also indicated risk of being investigated by the Department of Justice.

0:20:53.280 --> 0:20:57.639
<v Speaker 1>So all of these really prompted exodus of all the

0:20:57.760 --> 0:21:01.639
<v Speaker 1>keyp hunters of users on the silver Gate platform, which

0:21:01.680 --> 0:21:04.679
<v Speaker 1>is one of the few and key payments platform for

0:21:04.760 --> 0:21:08.200
<v Speaker 1>crypto companies to transfer US dollar between each other in

0:21:08.280 --> 0:21:13.000
<v Speaker 1>real time. Quin mascalicxy Digital, Paxos Trust, all of these

0:21:13.040 --> 0:21:15.360
<v Speaker 1>saying look card ties with silver Gate are being put

0:21:15.359 --> 0:21:17.679
<v Speaker 1>on hold for the time being. Where then do we

0:21:17.800 --> 0:21:21.080
<v Speaker 1>go for these sorts of ability to transfer, to be

0:21:21.160 --> 0:21:24.320
<v Speaker 1>able to ensure that the pipes are still working, the

0:21:24.320 --> 0:21:28.040
<v Speaker 1>infrastructure still there. That is the question that the industry

0:21:28.040 --> 0:21:31.840
<v Speaker 1>players are trying to figure out. Another bank that's in

0:21:31.840 --> 0:21:34.960
<v Speaker 1>this space is signature bank, but they already announced that

0:21:35.000 --> 0:21:38.919
<v Speaker 1>they're actually planning to reduce the deposits from crypto companies

0:21:39.320 --> 0:21:43.840
<v Speaker 1>and and so that's so there's not many options right

0:21:43.880 --> 0:21:46.840
<v Speaker 1>now for crypto players to find a bank that's willing

0:21:46.880 --> 0:21:50.199
<v Speaker 1>to take them out on and replace the role of surrogate.

0:21:51.280 --> 0:21:53.480
<v Speaker 1>You tee more of a PSA for our audience, But

0:21:53.640 --> 0:21:56.399
<v Speaker 1>some of the ratings agencies catching out ratings cut by

0:21:56.440 --> 0:21:59.840
<v Speaker 1>Moodies at silver Gate not so sure, that's a surprise.

0:22:00.480 --> 0:22:03.439
<v Speaker 1>Where do we go from here? You know, Caroline and

0:22:03.440 --> 0:22:05.680
<v Speaker 1>I were talking actually earlier on a Twitter spaces about

0:22:05.680 --> 0:22:08.359
<v Speaker 1>how we were talking at the end of last year

0:22:08.440 --> 0:22:10.679
<v Speaker 1>the beginning of this year that Silvergate was in trouble.

0:22:10.720 --> 0:22:15.440
<v Speaker 1>Why do they keep falling further and further. So we're

0:22:15.480 --> 0:22:19.720
<v Speaker 1>seeing regulatory pressure from the DC as we know that

0:22:19.840 --> 0:22:24.320
<v Speaker 1>after the bankruptcy of FTX, federal banking regulators all came

0:22:24.359 --> 0:22:28.320
<v Speaker 1>out with warnings talking about the risk of serving cryptal

0:22:28.359 --> 0:22:31.040
<v Speaker 1>companies for banks, and they're really trying to make sure

0:22:31.119 --> 0:22:34.800
<v Speaker 1>that any contagious risk from the industry will not leak

0:22:34.920 --> 0:22:38.760
<v Speaker 1>into the real world economy. So Silvergate is one part

0:22:38.800 --> 0:22:42.280
<v Speaker 1>of that. We're seeing that the bank is now trying

0:22:42.280 --> 0:22:45.720
<v Speaker 1>to figure out a solution about their pass going forward.

0:22:46.600 --> 0:22:50.760
<v Speaker 1>Deposits from cryptal companies were the majority of their depositor base,

0:22:50.920 --> 0:22:53.320
<v Speaker 1>and they're really unique in the sense that they're getting

0:22:53.359 --> 0:22:57.600
<v Speaker 1>hit pretty hard because their depositors are fleeing the bank. Essentially,

0:22:59.359 --> 0:23:02.600
<v Speaker 1>the problem a problems of centralized finance within the world

0:23:02.640 --> 0:23:05.840
<v Speaker 1>of decentralized finance. Chang, we thank you so much in

0:23:05.840 --> 0:23:07.720
<v Speaker 1>New York staying late. We appreciate it. Go have a

0:23:07.720 --> 0:23:10.639
<v Speaker 1>wonderful weekend. Let'sting more into this though. We've got a

0:23:10.640 --> 0:23:14.800
<v Speaker 1>perfect voice, Anastasia Bez, CEO of Cadaana. It's a scalable

0:23:14.840 --> 0:23:18.040
<v Speaker 1>proof of work blockchain that actually spun off from JP

0:23:18.160 --> 0:23:22.720
<v Speaker 1>Morgan's private project and associate infrastructures that your heart basically

0:23:22.840 --> 0:23:24.600
<v Speaker 1>in terms of some of what you're trying to build

0:23:24.800 --> 0:23:27.680
<v Speaker 1>a Cadana and support within the ecosystem. But just first

0:23:27.680 --> 0:23:33.080
<v Speaker 1>and foremost take us to the interplay of centralized finance

0:23:33.160 --> 0:23:37.040
<v Speaker 1>and traditional finance trying to interweave itself with decentralized finance.

0:23:37.480 --> 0:23:39.760
<v Speaker 1>How much are people worried about some of the contagion

0:23:39.840 --> 0:23:43.600
<v Speaker 1>risks within Signature bank can Indeed, I'm not Signature apologies,

0:23:43.640 --> 0:23:46.840
<v Speaker 1>but Slivegate and what it ultimately means for the growth

0:23:46.880 --> 0:23:52.359
<v Speaker 1>in the ecosystem. I thanks. I think that one of

0:23:52.359 --> 0:23:54.280
<v Speaker 1>the big things is that we still have to interact

0:23:54.320 --> 0:23:57.520
<v Speaker 1>with centralized thinking, especially you know, companies that are based

0:23:57.560 --> 0:23:59.159
<v Speaker 1>in the US. So if you want to have these

0:23:59.280 --> 0:24:02.560
<v Speaker 1>US companies, we need to have access to bank accounts

0:24:02.560 --> 0:24:05.240
<v Speaker 1>and be able to do pay roll and healthcare and

0:24:05.320 --> 0:24:07.959
<v Speaker 1>things like that. So it's it's one of those realities

0:24:07.960 --> 0:24:12.679
<v Speaker 1>that in a decentralized world, we still have to be

0:24:12.760 --> 0:24:16.280
<v Speaker 1>able to play and integrate with you know, banks. So

0:24:17.080 --> 0:24:19.720
<v Speaker 1>I don't know quite where it's going, but it needs

0:24:19.760 --> 0:24:22.639
<v Speaker 1>to be something that happens, otherwise we're not going to

0:24:22.680 --> 0:24:24.680
<v Speaker 1>be able to have companies in the way that functions.

0:24:25.840 --> 0:24:28.160
<v Speaker 1>As a case in point Anastasia, know we are talking

0:24:28.200 --> 0:24:32.600
<v Speaker 1>about silver Gate, a lender, almost traditional lender, but lending

0:24:32.600 --> 0:24:36.480
<v Speaker 1>to the crypto industry. As someone participating in that space.

0:24:36.520 --> 0:24:39.080
<v Speaker 1>This is what we asked our audience. Okay, whether this

0:24:39.160 --> 0:24:40.800
<v Speaker 1>is kind of it, the worst has happened, or if

0:24:40.840 --> 0:24:43.480
<v Speaker 1>there's more to come, how do you go about running

0:24:43.480 --> 0:24:47.160
<v Speaker 1>a business as COO? We asked, is the contagion spillover

0:24:47.240 --> 0:24:50.200
<v Speaker 1>contained seventy percent of respondents said, no, are you kind

0:24:50.200 --> 0:24:53.000
<v Speaker 1>of worried about the health of this industry right now?

0:24:56.560 --> 0:24:58.280
<v Speaker 1>It's so hard to tell because I think that there

0:24:58.560 --> 0:25:00.679
<v Speaker 1>keeps being moments where people say this is it, and

0:25:00.720 --> 0:25:03.240
<v Speaker 1>then there's something new that comes out. So I think

0:25:03.240 --> 0:25:05.480
<v Speaker 1>that there's sort of been a continuing ripple effect. But

0:25:05.560 --> 0:25:07.840
<v Speaker 1>I think also, I mean, I'm at e Fenver right now,

0:25:07.880 --> 0:25:10.679
<v Speaker 1>and there's a lot of optimism about the technology and

0:25:10.720 --> 0:25:14.240
<v Speaker 1>what people are building and sort of tech infrastructure, and

0:25:14.600 --> 0:25:17.399
<v Speaker 1>I'm seeing a lot of you know, collaboration and cooperation

0:25:17.520 --> 0:25:20.800
<v Speaker 1>between you know, interchain projects where people are seeing the

0:25:20.800 --> 0:25:23.000
<v Speaker 1>strength of one project and how that can work with another.

0:25:23.320 --> 0:25:25.679
<v Speaker 1>And so as much as there's sort of these these

0:25:25.920 --> 0:25:29.320
<v Speaker 1>very real concerns, I also think that people are still

0:25:29.359 --> 0:25:32.159
<v Speaker 1>innovating and building things that are pretty exciting. But you know,

0:25:32.240 --> 0:25:34.320
<v Speaker 1>I mean, we want to do it, Relly. We want

0:25:34.359 --> 0:25:36.480
<v Speaker 1>to build things that are resilient, and that means being

0:25:36.520 --> 0:25:40.080
<v Speaker 1>resilient in the business world, not just in the tech world. Okay,

0:25:40.119 --> 0:25:43.480
<v Speaker 1>so Anna Saysia, let's talk about what you're building. It's

0:25:43.520 --> 0:25:47.160
<v Speaker 1>you know, a proof of work blockchain some would say

0:25:47.200 --> 0:25:50.280
<v Speaker 1>equivalent to a bitcoin, but it's scalable as fast as

0:25:50.320 --> 0:25:53.440
<v Speaker 1>the idea In particular, what are you hoping that Cadena

0:25:53.520 --> 0:25:59.439
<v Speaker 1>can solve within the infrastructure needs. So one of the

0:25:59.520 --> 0:26:04.280
<v Speaker 1>things is we are fast but also secure because we

0:26:04.359 --> 0:26:08.080
<v Speaker 1>have a structure that has braided chain so that it

0:26:08.119 --> 0:26:11.520
<v Speaker 1>refers to other parts of the chain. But really what

0:26:11.560 --> 0:26:13.440
<v Speaker 1>we're trying to offer is for businesses to be able

0:26:13.480 --> 0:26:14.879
<v Speaker 1>to build on top of us and be able to

0:26:14.880 --> 0:26:18.199
<v Speaker 1>take that security and also the scalability without having to

0:26:18.240 --> 0:26:20.960
<v Speaker 1>worry about, you know, as many of the security risks.

0:26:21.000 --> 0:26:23.120
<v Speaker 1>And you know, we also have a smart contract language,

0:26:23.160 --> 0:26:28.000
<v Speaker 1>so that's the programming language that people write different blockchain

0:26:28.040 --> 0:26:31.119
<v Speaker 1>applications in called packed, and that has a lot of

0:26:31.160 --> 0:26:33.440
<v Speaker 1>safety features to it. So that's something that we see

0:26:33.720 --> 0:26:36.600
<v Speaker 1>being more accessible and easier for people to use as

0:26:36.640 --> 0:26:39.879
<v Speaker 1>developers because of the way that it's structured, which hopefully

0:26:39.920 --> 0:26:42.840
<v Speaker 1>means that people can build more viable businesses because you'll

0:26:42.880 --> 0:26:45.040
<v Speaker 1>be able to it's human readable, so I can read

0:26:45.040 --> 0:26:47.520
<v Speaker 1>one of the contracts and see what it says. You know,

0:26:47.560 --> 0:26:49.680
<v Speaker 1>as a non engineer, that's really valuable to be able

0:26:49.680 --> 0:26:52.880
<v Speaker 1>to understand what's happening, even though you know you want

0:26:52.880 --> 0:26:54.080
<v Speaker 1>to get to a world where you don't have to

0:26:54.119 --> 0:26:55.680
<v Speaker 1>look under the hood and you can trust with that,

0:26:56.880 --> 0:26:59.200
<v Speaker 1>well said, I mean Cadena, as I sort of said

0:26:59.240 --> 0:27:02.240
<v Speaker 1>at the beginning, was spun out of a private blockchain

0:27:03.119 --> 0:27:06.480
<v Speaker 1>project being built within JP Morgan. The founders helping exercise

0:27:06.560 --> 0:27:09.800
<v Speaker 1>really that first blockchain at JP Morgan. And therefore, I

0:27:09.880 --> 0:27:15.520
<v Speaker 1>ask you, what is traditional companies appetite to continue to

0:27:15.560 --> 0:27:22.119
<v Speaker 1>invest or to adopt within overall crypto space, whether it

0:27:22.240 --> 0:27:24.720
<v Speaker 1>be building their own private blockchain so that be trying

0:27:24.760 --> 0:27:27.600
<v Speaker 1>to harness the power of the technology. Were at the

0:27:27.640 --> 0:27:30.800
<v Speaker 1>same side, they've got this worry about ultimately how much

0:27:30.840 --> 0:27:36.159
<v Speaker 1>bad press the ecosystem gets. I think that companies are

0:27:36.200 --> 0:27:38.760
<v Speaker 1>trying to balance that where there is some real innovation

0:27:38.960 --> 0:27:42.280
<v Speaker 1>or people have this appetite for new things that might

0:27:42.320 --> 0:27:44.720
<v Speaker 1>solve problems, but that they are trying to balance that

0:27:44.800 --> 0:27:47.639
<v Speaker 1>with you know, being a little bit more conservative at

0:27:47.680 --> 0:27:50.800
<v Speaker 1>large companies, and that's you know, it's a balance that

0:27:50.840 --> 0:27:53.000
<v Speaker 1>they have to strike. But there is still interests. There's

0:27:53.040 --> 0:27:57.080
<v Speaker 1>definitely still companies that are doing partnerships and you know,

0:27:57.119 --> 0:27:59.240
<v Speaker 1>finding different ways to build in the space, you know,

0:27:59.280 --> 0:28:03.840
<v Speaker 1>in ways that I think very real, whether that's you know,

0:28:03.880 --> 0:28:05.560
<v Speaker 1>it's just a variety of different things. But I think

0:28:05.560 --> 0:28:07.480
<v Speaker 1>that some of it where it's going to go is

0:28:07.640 --> 0:28:10.199
<v Speaker 1>not partnerships that you understand like that are visible, but

0:28:10.240 --> 0:28:12.959
<v Speaker 1>just under the hood, there's a blockchain technology doing something.

0:28:13.920 --> 0:28:16.080
<v Speaker 1>I want to dig into blockchain technology. I know this

0:28:16.119 --> 0:28:18.800
<v Speaker 1>is an area you care deeply about in tech literacy.

0:28:19.160 --> 0:28:21.120
<v Speaker 1>So Caroline and I have been talking a lot about

0:28:21.160 --> 0:28:24.080
<v Speaker 1>artificial intelligence. We've been experimenting with it, using it. You

0:28:24.119 --> 0:28:26.560
<v Speaker 1>see everyone having a go, and I feel like with

0:28:26.640 --> 0:28:29.280
<v Speaker 1>the crypto hysteria, hype, whatever you want to call it

0:28:29.440 --> 0:28:31.680
<v Speaker 1>of the last two years, a lot of people miss

0:28:31.720 --> 0:28:36.120
<v Speaker 1>the basics. Would you say that that's fair. I think

0:28:36.119 --> 0:28:38.600
<v Speaker 1>that there's a huge need for education and a huge

0:28:38.600 --> 0:28:44.640
<v Speaker 1>opportunity for education still in the crypto space, where there's

0:28:44.640 --> 0:28:47.320
<v Speaker 1>a lot to learn and right now. I mean, I

0:28:47.440 --> 0:28:49.480
<v Speaker 1>use this example, but I've talked to my mom about

0:28:49.520 --> 0:28:51.520
<v Speaker 1>how she wants to do things in crypto and it

0:28:51.640 --> 0:28:58.080
<v Speaker 1>just becomes this huge bureaucratic onboarding experience. And so I

0:28:58.120 --> 0:29:02.520
<v Speaker 1>definitely agree that more education should happen, and it is happening.

0:29:02.640 --> 0:29:04.920
<v Speaker 1>But I also I see more and more people understanding

0:29:05.200 --> 0:29:07.560
<v Speaker 1>some of these things around, for example, self custody and

0:29:07.600 --> 0:29:10.440
<v Speaker 1>what that means, whether you have children's on in exchange

0:29:10.560 --> 0:29:13.000
<v Speaker 1>or you have custody of them yourself. I mean, that's

0:29:13.040 --> 0:29:18.600
<v Speaker 1>like a really important education point. His two moms wanting

0:29:18.640 --> 0:29:22.240
<v Speaker 1>to get into crypto and Astasia thanks so much, Anastasias

0:29:23.520 --> 0:29:25.960
<v Speaker 1>of Cadena, Thank you so much for your time. Keep

0:29:26.040 --> 0:29:30.000
<v Speaker 1>enjoying if Denver. Meanwhile, let's turn to the VC world

0:29:30.040 --> 0:29:33.320
<v Speaker 1>now and some of that hype around AI. I caught

0:29:33.400 --> 0:29:36.600
<v Speaker 1>up with Aldelue Dennis, general partner of an Initialized Capital,

0:29:36.920 --> 0:29:41.680
<v Speaker 1>and Avanta Acatit COO of a Frame Brands as part

0:29:41.680 --> 0:29:44.600
<v Speaker 1>of Bloomberg's International Women's Day event. I asked them how

0:29:44.680 --> 0:29:47.440
<v Speaker 1>they cut through some of the noise, the hype, some

0:29:47.480 --> 0:29:50.280
<v Speaker 1>of the warriors as well. Take a listen. I think

0:29:50.280 --> 0:29:52.080
<v Speaker 1>if the answer is to actually have more diversity on

0:29:52.120 --> 0:29:55.239
<v Speaker 1>your investing team, because there's a certain attraction that some

0:29:55.280 --> 0:29:59.200
<v Speaker 1>people who are more interested in certain sectors, more interested

0:29:59.200 --> 0:30:04.600
<v Speaker 1>in the heart any object will be attracted Tom. And meanwhile,

0:30:04.600 --> 0:30:06.840
<v Speaker 1>they may ignore a very large sector such as family

0:30:06.880 --> 0:30:10.160
<v Speaker 1>tech for example. Yes, that is a huge market that

0:30:10.240 --> 0:30:13.960
<v Speaker 1>impacts you know, uh, you know, billions and billions of lives.

0:30:14.000 --> 0:30:17.840
<v Speaker 1>That has as much potential and so for me personally,

0:30:17.920 --> 0:30:22.160
<v Speaker 1>spending time on an industry like crypto or CHATSBT, there's

0:30:22.160 --> 0:30:24.920
<v Speaker 1>plenty or AI. I mean, there's plenty of investors who

0:30:24.960 --> 0:30:27.520
<v Speaker 1>are going to follow that, and I think the value

0:30:27.600 --> 0:30:30.720
<v Speaker 1>is had in finding large markets that are underserved. Yeah,

0:30:30.760 --> 0:30:33.840
<v Speaker 1>which I think also Starry is also going back to

0:30:33.920 --> 0:30:37.360
<v Speaker 1>even like the old tech adages of problem solution, like

0:30:37.480 --> 0:30:40.800
<v Speaker 1>we need to actually solve problems for people as opposed

0:30:40.800 --> 0:30:42.560
<v Speaker 1>to like as opposed to kind of getting caught up

0:30:42.600 --> 0:30:46.080
<v Speaker 1>in the hype. What about some of the ethics around that? Yes, hum,

0:30:46.080 --> 0:30:49.200
<v Speaker 1>when it comes to bias and how are you thinking, Oh,

0:30:49.280 --> 0:30:54.120
<v Speaker 1>I'm frightened. Yes, because AI is only as good as

0:30:54.160 --> 0:30:57.240
<v Speaker 1>what you put into it, and it's humans have bias

0:30:57.280 --> 0:31:00.440
<v Speaker 1>and so they bias is going to be rolled into it.

0:31:00.600 --> 0:31:03.200
<v Speaker 1>And actually often when I talk about bias, when in

0:31:03.240 --> 0:31:06.920
<v Speaker 1>building structures and orgs, I think biases like gravity, it's

0:31:06.920 --> 0:31:08.880
<v Speaker 1>something that you can you can't see, It's like it

0:31:08.920 --> 0:31:11.280
<v Speaker 1>just exists, and you have to figure out how if

0:31:11.280 --> 0:31:12.720
<v Speaker 1>you want to be able to fly, you want to

0:31:12.760 --> 0:31:15.320
<v Speaker 1>defy gravity, you need to build a whole bunch of things.

0:31:15.400 --> 0:31:17.959
<v Speaker 1>You need to build a plane that is intentional towards

0:31:18.000 --> 0:31:20.800
<v Speaker 1>being able to do that. And so if you want

0:31:20.800 --> 0:31:22.720
<v Speaker 1>to be able to try and remove bias from things.

0:31:22.760 --> 0:31:24.560
<v Speaker 1>You have to build a whole bunch of stuff and

0:31:24.640 --> 0:31:27.560
<v Speaker 1>be intentional on drawing that out. And I think especially

0:31:27.600 --> 0:31:31.000
<v Speaker 1>as hype is building, people are not being as not

0:31:31.160 --> 0:31:35.560
<v Speaker 1>slowing down just to be as intentional about it, which

0:31:35.600 --> 0:31:41.240
<v Speaker 1>is worrisome. Also, lujenis general partner Initialized Capital and Avanta

0:31:41.400 --> 0:31:44.120
<v Speaker 1>Ratgi their COO of a famous brams and ed the

0:31:44.200 --> 0:31:47.080
<v Speaker 1>reason Avanta's point of view is so important when it

0:31:47.080 --> 0:31:49.760
<v Speaker 1>comes to bias when it comes to building new businesses

0:31:49.840 --> 0:31:53.720
<v Speaker 1>is she is a proud trans woman of color and

0:31:53.920 --> 0:31:57.080
<v Speaker 1>she was very happy to go there to this vulnerable

0:31:57.080 --> 0:31:59.000
<v Speaker 1>space with us of what it was like being a

0:31:59.000 --> 0:32:01.200
<v Speaker 1>man in the room to them being a woman in

0:32:01.240 --> 0:32:03.960
<v Speaker 1>the room when trying to discuss the building of businesses.

0:32:04.200 --> 0:32:07.400
<v Speaker 1>She now is all about trying to create new brands

0:32:07.640 --> 0:32:11.640
<v Speaker 1>that serve a diverse population to have that bias stripped

0:32:11.640 --> 0:32:14.360
<v Speaker 1>out from the very beginning. If anyone is going to

0:32:14.360 --> 0:32:17.120
<v Speaker 1>be attuned to what AI She's also helps build virtual worlds,

0:32:17.120 --> 0:32:18.840
<v Speaker 1>for example, in the world of fashion, she's going to

0:32:18.840 --> 0:32:20.440
<v Speaker 1>be attuned to what's some of the ethics that we

0:32:20.520 --> 0:32:21.960
<v Speaker 1>need in place ahead of it. What I took from

0:32:21.960 --> 0:32:24.920
<v Speaker 1>that is why the Bloomberg New Voices initiatives. So important

0:32:25.080 --> 0:32:27.480
<v Speaker 1>is to bring the people that are actually having the

0:32:27.480 --> 0:32:31.360
<v Speaker 1>conversation into the room together. But two really core tenets

0:32:31.480 --> 0:32:34.800
<v Speaker 1>of venture capital and founders. What is a problem that

0:32:34.800 --> 0:32:37.640
<v Speaker 1>we're trying to solve and what's the technological solution? And

0:32:37.680 --> 0:32:40.520
<v Speaker 1>then how do you build a company? And they just

0:32:40.560 --> 0:32:43.640
<v Speaker 1>cut through the noise as you said, Ai Crypto. No,

0:32:43.800 --> 0:32:47.320
<v Speaker 1>actually it's a problem solution, make a company to solve it.

0:32:47.320 --> 0:32:50.200
<v Speaker 1>I think that's terrific. And Alses I mean, background is phenomenal,

0:32:50.280 --> 0:32:52.680
<v Speaker 1>having been GC over at the Founders found but then

0:32:52.680 --> 0:32:56.920
<v Speaker 1>has gone on to work on She's written personal checks

0:32:57.000 --> 0:33:00.080
<v Speaker 1>to space sex. She has had real success in some

0:33:00.120 --> 0:33:03.320
<v Speaker 1>of the companies which is built and invested in within

0:33:03.560 --> 0:33:05.920
<v Speaker 1>We've got to remember initialized eighty percent led by women.

0:33:06.280 --> 0:33:08.600
<v Speaker 1>The New Voices scheme so loud and proud about it

0:33:08.600 --> 0:33:10.280
<v Speaker 1>here at Bloomberg. If you want to get media trained,

0:33:10.360 --> 0:33:12.280
<v Speaker 1>come in and understand a little bit more right And

0:33:12.320 --> 0:33:14.240
<v Speaker 1>if you know someone out there in the industry, come

0:33:14.280 --> 0:33:16.760
<v Speaker 1>to us, tell us about them and then we will

0:33:16.800 --> 0:33:19.920
<v Speaker 1>talk to them. Now coming up a new TikTok trend

0:33:20.160 --> 0:33:24.760
<v Speaker 1>about the rising costs of dating, racking up millions of views.

0:33:25.360 --> 0:33:41.080
<v Speaker 1>That's next. This is Bloomberg. Democratic Representative Rocana has represented

0:33:41.120 --> 0:33:44.720
<v Speaker 1>Silicon Valley since twenty seventeen. Now he's working to look

0:33:44.800 --> 0:33:49.240
<v Speaker 1>broaden the US technology focus of San Francisco. Kanna was

0:33:49.320 --> 0:33:51.480
<v Speaker 1>a key player in the passage of the Chipsack to

0:33:51.520 --> 0:33:54.840
<v Speaker 1>jump start semiconductor production in the ninety teenth States. Now

0:33:54.880 --> 0:33:58.360
<v Speaker 1>he has a two trillion dollar pitch tree vitalize US

0:33:58.440 --> 0:34:02.520
<v Speaker 1>manufacturing in what he calls economic patriotism. Is how he's

0:34:02.560 --> 0:34:06.959
<v Speaker 1>framing it, a new economic patriotism. It simply means that

0:34:07.600 --> 0:34:12.000
<v Speaker 1>the private sector can work with universities, community colleges, labor,

0:34:12.280 --> 0:34:16.400
<v Speaker 1>the government to have a common purpose of investing in

0:34:16.440 --> 0:34:20.719
<v Speaker 1>America's production capability. What I think we need to do

0:34:20.840 --> 0:34:24.120
<v Speaker 1>is look at regions that have been decimated, be investrialized,

0:34:24.400 --> 0:34:26.360
<v Speaker 1>say what are their assets? How can we have a

0:34:26.400 --> 0:34:29.040
<v Speaker 1>moon shot there? How can we have place based policy

0:34:29.040 --> 0:34:34.759
<v Speaker 1>for economic revitalization. What some of your proudest accomplishments so far?

0:34:35.320 --> 0:34:37.200
<v Speaker 1>It was early the chips in Shigne Tech that I

0:34:37.280 --> 0:34:43.080
<v Speaker 1>helped draft, led to two Intel factories coming to Ohio,

0:34:43.280 --> 0:34:47.480
<v Speaker 1>led to microd being in Upstate New York with almost

0:34:47.480 --> 0:34:51.080
<v Speaker 1>one hundred billion dollar investment. I believe for us to

0:34:51.160 --> 0:34:54.400
<v Speaker 1>have the next generation of manufacturing, we need new technology,

0:34:54.760 --> 0:34:59.600
<v Speaker 1>We need immigrants, we need a educated workforce, we need

0:34:59.640 --> 0:35:03.239
<v Speaker 1>the skill trades and vocational education, and we need government financing.

0:35:03.400 --> 0:35:06.080
<v Speaker 1>And this can be a common national purpose, the economic

0:35:06.400 --> 0:35:10.000
<v Speaker 1>revitalization of the country. I've said we need a chip

0:35:10.040 --> 0:35:14.440
<v Speaker 1>SAT every year for many different industries. This can't be

0:35:14.480 --> 0:35:18.440
<v Speaker 1>a one off. Now, both parties recognize that the gutting

0:35:18.719 --> 0:35:21.279
<v Speaker 1>of factory towns was a huge mistake. The offshoring of

0:35:21.320 --> 0:35:25.640
<v Speaker 1>production was a huge mistake. The economic disparity is polarizing America.

0:35:25.880 --> 0:35:29.080
<v Speaker 1>I've called for a two trillion dollar investment over ten years.

0:35:29.080 --> 0:35:31.560
<v Speaker 1>The chip sacked was about fifty billion. We need to

0:35:31.640 --> 0:35:34.600
<v Speaker 1>have the same urgency, the same scale to build this

0:35:34.680 --> 0:35:38.800
<v Speaker 1>production base. It is a difficult argument to convince people

0:35:38.920 --> 0:35:42.080
<v Speaker 1>on this spending. I have not gotten people to buy

0:35:42.120 --> 0:35:44.160
<v Speaker 1>into the two trillion dollar investment. I did the bill

0:35:44.239 --> 0:35:47.319
<v Speaker 1>with Marco Rubio. He's good with twenty billion investment, which

0:35:47.360 --> 0:35:49.879
<v Speaker 1>is a start, but I will continue to make it

0:35:50.440 --> 0:35:52.120
<v Speaker 1>that we have to go big and bold on this

0:35:54.080 --> 0:35:57.719
<v Speaker 1>great report coming from our colleague Kalas Shader, and it

0:35:57.840 --> 0:36:00.799
<v Speaker 1>is notable that we're trying to see this focus in California.

0:36:00.920 --> 0:36:06.719
<v Speaker 1>Of yes, technology has been the heartbeat center, particularly from

0:36:06.719 --> 0:36:09.319
<v Speaker 1>a revenue perspective of anything about taxes. But they have

0:36:09.360 --> 0:36:12.120
<v Speaker 1>to diversify. And you think about California, I also think

0:36:12.480 --> 0:36:15.200
<v Speaker 1>of the ports. I also think of infrastructure. I also

0:36:15.200 --> 0:36:17.440
<v Speaker 1>think of rebuilding, and I think of a global supply chain.

0:36:17.480 --> 0:36:19.480
<v Speaker 1>There's up in arms. It's a really good point. How

0:36:19.520 --> 0:36:21.160
<v Speaker 1>much time have I spent down at the Port of

0:36:21.200 --> 0:36:23.319
<v Speaker 1>Los Angeles in the last two years. But you know

0:36:23.320 --> 0:36:26.720
<v Speaker 1>when I talked to founders and I talked to vcs whatever,

0:36:26.840 --> 0:36:29.640
<v Speaker 1>that they kind of want to protect the brain trust

0:36:29.719 --> 0:36:32.879
<v Speaker 1>coming out of the universities here. There's also a societal

0:36:33.320 --> 0:36:35.840
<v Speaker 1>discussion around living in San Francisco, the Bay Area, how

0:36:35.920 --> 0:36:38.719
<v Speaker 1>difficult it can be. But the conclusion they will come

0:36:38.760 --> 0:36:40.200
<v Speaker 1>to is we need to invest a bit more money.

0:36:40.520 --> 0:36:43.239
<v Speaker 1>Money talks, doesn't it all right? Let's pivot to a

0:36:43.320 --> 0:36:48.839
<v Speaker 1>new trend gaining traction. Guess where TikTok dating spreeze. It's

0:36:48.880 --> 0:36:51.560
<v Speaker 1>beginning to make sense why dating apps are testing those

0:36:51.600 --> 0:36:54.840
<v Speaker 1>premium subscriptions, some of them upwards of five hundred dollars

0:36:54.840 --> 0:36:58.680
<v Speaker 1>per month. TikTokers are racking up millions of views, breaking

0:36:58.680 --> 0:37:01.640
<v Speaker 1>down the high cost of dating. Some went on twenty

0:37:01.640 --> 0:37:06.400
<v Speaker 1>eight dates in twenty eight days to show how inflation

0:37:06.520 --> 0:37:09.759
<v Speaker 1>has impacted their love life. Yes, I did say that.

0:37:09.800 --> 0:37:12.960
<v Speaker 1>One event went on twenty eight bind date dates to

0:37:13.080 --> 0:37:16.839
<v Speaker 1>raise money for charity. Now Here to explain Bloomberg's misser

0:37:16.920 --> 0:37:23.160
<v Speaker 1>Lena A Kufapulu, missy, what is this all about? Well ed?

0:37:23.200 --> 0:37:26.200
<v Speaker 1>If you're looking at for examples about how TikTok is

0:37:26.320 --> 0:37:29.440
<v Speaker 1>changing the quests for love, we have one for you.

0:37:29.440 --> 0:37:32.200
<v Speaker 1>You mentioned it. One thirty one year old girl in

0:37:32.200 --> 0:37:34.799
<v Speaker 1>New York City decided in the month of February to

0:37:34.920 --> 0:37:38.160
<v Speaker 1>go on twenty eight dates in twenty eight days, and

0:37:38.239 --> 0:37:41.919
<v Speaker 1>of course, naturally she chronicled all of those days on

0:37:41.960 --> 0:37:46.080
<v Speaker 1>her social media platforms. She gained thousands of followers in

0:37:46.120 --> 0:37:48.960
<v Speaker 1>the process, and all of them as she was doing that.

0:37:49.560 --> 0:37:52.440
<v Speaker 1>She told it in an interview at Bloomberg that they

0:37:52.480 --> 0:37:55.640
<v Speaker 1>were asking the same question how much is this costing you?

0:37:55.840 --> 0:37:58.719
<v Speaker 1>And who is doing the pain? Which I think is

0:37:58.719 --> 0:38:00.640
<v Speaker 1>a key question for a lot of people looking for

0:38:00.719 --> 0:38:06.480
<v Speaker 1>love right now. In most cases, was it shed, did

0:38:06.480 --> 0:38:09.640
<v Speaker 1>they break it down, did they joint me pay? What

0:38:09.760 --> 0:38:12.560
<v Speaker 1>was the up? And they come out out of all

0:38:12.560 --> 0:38:15.600
<v Speaker 1>of this well, Caroline, I think the answer to that

0:38:15.680 --> 0:38:18.160
<v Speaker 1>is it depends on who you ask. It's definitely a

0:38:18.280 --> 0:38:21.640
<v Speaker 1>question that a lot of people are passionate about different cultures,

0:38:21.640 --> 0:38:24.640
<v Speaker 1>and different people have different opinions about it. So we

0:38:24.680 --> 0:38:28.040
<v Speaker 1>spoke to one etiquette expert who basically said the weight

0:38:28.200 --> 0:38:31.759
<v Speaker 1>of the cost should fall on whoever is doing the asking,

0:38:31.880 --> 0:38:34.000
<v Speaker 1>And so if you're not able to afford a day

0:38:34.000 --> 0:38:37.880
<v Speaker 1>you're asking someone out on, then maybe think of other alternative,

0:38:37.920 --> 0:38:40.399
<v Speaker 1>cheaper dates that you can go to, because they really

0:38:40.440 --> 0:38:43.440
<v Speaker 1>can wrap up in the hundreds of dollars per the

0:38:43.440 --> 0:38:46.200
<v Speaker 1>TikTok's that we saw this one year thirty one year

0:38:46.239 --> 0:38:48.920
<v Speaker 1>old post on her profile. And so really, if you're

0:38:48.960 --> 0:38:52.880
<v Speaker 1>asking someone out and Caroline, make sure you're the one pay.

0:38:53.520 --> 0:38:56.000
<v Speaker 1>And when they're doing the TikTok aft, is they using

0:38:56.360 --> 0:38:59.279
<v Speaker 1>the bold glamor filter that therefore makes you look nothing

0:38:59.320 --> 0:39:01.719
<v Speaker 1>like you actually do in real life too, So that's

0:39:01.760 --> 0:39:04.360
<v Speaker 1>the key question for all of it. Bloomberg's Israeliane Egokofa,

0:39:04.400 --> 0:39:15.840
<v Speaker 1>who thank you so much for joining us now Netflix.

0:39:16.040 --> 0:39:19.160
<v Speaker 1>It's going viral on several fronts. Let's start with one

0:39:19.160 --> 0:39:21.600
<v Speaker 1>of the Murdock murders in case you missed it, This week,

0:39:21.640 --> 0:39:25.200
<v Speaker 1>a jury convicted Alec Murdock, a prominent South Carolina lawyer,

0:39:25.239 --> 0:39:27.160
<v Speaker 1>of murdering his wife and son back in June twenty

0:39:27.200 --> 0:39:30.440
<v Speaker 1>twenty one, as he was sentenced to life in prison.

0:39:30.800 --> 0:39:33.399
<v Speaker 1>Now here's the other kind of unnursing part about all

0:39:33.400 --> 0:39:36.480
<v Speaker 1>of this. Murdoch was convicted just days after a doctor

0:39:36.600 --> 0:39:40.600
<v Speaker 1>series on the matter was released on Murdflix. And this

0:39:40.680 --> 0:39:44.920
<v Speaker 1>is where sort of art starts to reflect what's happening

0:39:44.960 --> 0:39:46.960
<v Speaker 1>in the here and the now. Yes, from a long

0:39:47.000 --> 0:39:49.160
<v Speaker 1>time we've wondered when streaming companies will sort of getting

0:39:49.120 --> 0:39:52.759
<v Speaker 1>into news or real time events, and it is they are,

0:39:52.800 --> 0:39:54.840
<v Speaker 1>but it's also kind of not new. And my mind

0:39:54.920 --> 0:39:57.520
<v Speaker 1>goes to Tiger King and bear with me, but remember

0:39:57.560 --> 0:39:59.880
<v Speaker 1>the sort of media hype around it, and then the question,

0:40:00.080 --> 0:40:02.640
<v Speaker 1>So that that Doctor series raised about some of the characters.

0:40:03.040 --> 0:40:07.080
<v Speaker 1>Tiger King was a massive one for Netflix. You see

0:40:07.080 --> 0:40:10.399
<v Speaker 1>it there on the screen and it induced follow ones,

0:40:10.480 --> 0:40:13.440
<v Speaker 1>and that's not it. They're also thinking about a really

0:40:13.480 --> 0:40:19.040
<v Speaker 1>old school, old fashioned concept live television and also timing

0:40:19.080 --> 0:40:22.040
<v Speaker 1>of releases. For example, we're going to get Chris Rock.

0:40:22.520 --> 0:40:25.520
<v Speaker 1>He's going to be coming with his stand up comedy

0:40:25.600 --> 0:40:29.080
<v Speaker 1>routine to Netflix exactly the week before the Academy Awards

0:40:29.120 --> 0:40:32.120
<v Speaker 1>the Oscars, which of course was so famed for the slap,

0:40:32.280 --> 0:40:35.000
<v Speaker 1>and they're doing it live. Who would have thought it? Yeah,

0:40:35.040 --> 0:40:37.759
<v Speaker 1>it's what March fourth that it's coming? Yeah, a week

0:40:38.480 --> 0:40:41.439
<v Speaker 1>the Oscars next week. Meanwhile, that doesn't for this edition

0:40:41.440 --> 0:40:44.799
<v Speaker 1>of Bloombog Technology, don't forget a lot to recap incredible

0:40:44.880 --> 0:40:49.520
<v Speaker 1>week the two of us together. Check out the podcast Apple, Spotify, iHeart,

0:40:49.560 --> 0:40:50.760
<v Speaker 1>wherever you get your podcast