WEBVTT - Meta's $14.3B Scale Investment, Apple's New Siri Launch

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. Bloomberg Tech is alive

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<v Speaker 1>from coast to coast, with Caroline Hide in New York

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<v Speaker 1>and Edlavelow in San Francisco.

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<v Speaker 2>This is Bloomberg Tech Coming up. Meta finally finalizes a

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<v Speaker 2>fourteen billion dollar investment in Scale AI and has the

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<v Speaker 2>CEO amping up its AGI efforts. Plus Adobe sales outlook.

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<v Speaker 2>It tops estimates, but it's not enough to quell investors

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<v Speaker 2>concern that it's losing the AI race, and reports of

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<v Speaker 2>stable coin plans by the world's biggest retailers puts pressure

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<v Speaker 2>on Visa a MasterCard. We discussed with the CEO of

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<v Speaker 2>crypto firm Circle, but first we check in on what

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<v Speaker 2>the markets are doing today. There is a clear geopolitical

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<v Speaker 2>risk that is fund and center for investors. We think

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<v Speaker 2>about what the Israeli A tacks on Iran means for

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<v Speaker 2>the search for safety, and we do. Then that's that

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<v Speaker 2>one hundred off by eight tenths of a percent. There

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<v Speaker 2>are idiosyncratic news within the benchmark, but Bitcoin not your

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<v Speaker 2>savior of choice at the moment, not the area to

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<v Speaker 2>go for safety. We're currently off by nine tenths percent

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<v Speaker 2>on bitcoin move on and have a look at some

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<v Speaker 2>of the individual movers. Look, we've got to get into,

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<v Speaker 2>in particular some tech news that is all about Meta,

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<v Speaker 2>another aquahier, but this one costing more than fourteen billion dollars.

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<v Speaker 2>We're off by five tens of percent, but generally the

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<v Speaker 2>market likes the move, the spending of Meta on the

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<v Speaker 2>future of AGI. Let's get to it all with Kurt Wagner,

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<v Speaker 2>who's been breaking this story. Set by step. You brought

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<v Speaker 2>us the idea that, of course Alexander Wang was going

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<v Speaker 2>to be part of this crucial team that Mark Zuckerberg

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<v Speaker 2>is forming. This does seem to be yet another example

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<v Speaker 2>of an aquahier by a big tech company.

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<v Speaker 3>It does because, as you mentioned, Caroline, there is that

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<v Speaker 3>fourteen point three billion dollar investment. But Alexander Wang is

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<v Speaker 3>joining Meta, so are some of the other employees from

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<v Speaker 3>Scale Lai. So while Meta is obviously, you know, now

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<v Speaker 3>a forty nine percent stakeholder, and Scale it's taking the

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<v Speaker 3>CEO over to Meta, So a lot of people are

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<v Speaker 3>sort of viewing this as a very expensive aquahier. Obviously,

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<v Speaker 3>there's still Scale is still going to be operating independently.

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<v Speaker 3>It's going to have an interim CEO. But you know,

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<v Speaker 3>given the talent that is moving from Scale to Meta,

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<v Speaker 3>this is this is a very expensive talent grab. And

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<v Speaker 3>this is something that I think we've seen from Mark

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<v Speaker 3>Zuckerberg before and something that he is clearly very very

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<v Speaker 3>focused on AI right now.

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<v Speaker 2>We've seen it from other key tech companies. This aquahar idea,

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<v Speaker 2>the fact that maybe you skirt any regulatory oversight, particularly

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<v Speaker 2>when perhaps metas in frontline. When it comes to the

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<v Speaker 2>FTC investigation, You're thinking Microsoft with inflection, You're thinking Amazon

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<v Speaker 2>with a debt to thinking of Google with character AI Kert,

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<v Speaker 2>What does this show about the anxiety that Mark Zuckerberg

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<v Speaker 2>has right now.

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<v Speaker 3>Well, part of the momentum here is because he felt

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<v Speaker 3>like they are behind, right. We had a story a

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<v Speaker 3>couple of days ago about him building this new super

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<v Speaker 3>intelligence AI team and that was really motivated by the

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<v Speaker 3>fact that their lamafour launch back in April was underwhelming

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<v Speaker 3>and that he felt that Meta was not keeping pace

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<v Speaker 3>in the way that they should. So I think there's

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<v Speaker 3>a real paranoia there. This is, you know, a sort

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<v Speaker 3>of a classic Mark Stuck Colt Bring move for him

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<v Speaker 3>to just get incredibly in the weeds on something that

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<v Speaker 3>he feels his business is sort of lacking. But I

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<v Speaker 3>also think it just speaks to the you know, the

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<v Speaker 3>limit in terms of how much talent there is out

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<v Speaker 3>there in the AI space, like really good talent. Like

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<v Speaker 3>the fact that they're willing to spend this much on

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<v Speaker 3>these on these folks sort of says that it's a

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<v Speaker 3>very competitive landscape when it comes to hiring people. And

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<v Speaker 3>I think we've seen that across the board, and it's

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<v Speaker 3>only going to get tighter now that everyone sort of

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<v Speaker 3>picked their various startup that they're backing here.

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<v Speaker 2>It's interesting that we've already heard from Open Ai saying

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<v Speaker 2>they're going to stick working with Scaleai, which is now

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<v Speaker 2>going to be helmed by Jason Droges. He was previously

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<v Speaker 2>the strategy officer, now him becomes a CEO. But talk

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<v Speaker 2>to us about what Alexander wanglings in particular, He's got

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<v Speaker 2>a very good way of networking, particularly on Capitol Hill.

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<v Speaker 3>Yeah, so, you know, I've been told by several folks

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<v Speaker 3>over the last week that Mark Zuckerberg just thinks that

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<v Speaker 3>Alexander Wang is the best guy. You know, he thinks

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<v Speaker 3>he is so talented, He's he's super bullish on this guy.

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<v Speaker 3>I believe he's just twenty eight years old, and you're right, Caroline,

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<v Speaker 3>he brings a great network. Everyone I've talked to is

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<v Speaker 3>that this guy knows everybody in the AI space. He also,

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<v Speaker 3>as you point out, knows folks on Capitol Hill. This

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<v Speaker 3>is a time when I think Meta and Mark Zuckerberg

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<v Speaker 3>in particular are trying to build relationships with the Trump administration.

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<v Speaker 3>You know, we've seen them sort of announced plans to

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<v Speaker 3>partner with Andreil on potential military tech. So it's a

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<v Speaker 3>bit of a new, you know, direction for this company

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<v Speaker 3>trying to get into perhaps government contracts, and I think

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<v Speaker 3>Alexander Wang brings some of that connectivity to Meta and

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<v Speaker 3>Mark Zuckerberg, and so in addition to the AI experience,

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<v Speaker 3>you know, this is also someone who might be able

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<v Speaker 3>to help him out relationship.

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<v Speaker 2>Well. So far, investors have trusted the steerage of Mark Zuckerberg.

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<v Speaker 2>Just a significant out performance of eighteen percent so far

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<v Speaker 2>on the year Blue Most Kurt Wagner, thanks so much

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<v Speaker 2>on all things Meta. Let's bring it out. Michael Reynolds

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<v Speaker 2>is with US vice president and investment strategy at Glen Mead,

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<v Speaker 2>manages forty five point six billion dollars in assets and

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<v Speaker 2>just focus for a moment on the AI trade and

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<v Speaker 2>this rush to spend by the hyperscalis of which Meta

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<v Speaker 2>is now one. What do you make of this?

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<v Speaker 4>Aquaha, thanks for having me.

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<v Speaker 5>So we think without a doubt AI is transformational, and

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<v Speaker 5>anyone who disagrees with that just probably hasn't been using

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<v Speaker 5>it properly. But I think we're cautioning investors on our

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<v Speaker 5>end to think through the connection between a transformational technology

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<v Speaker 5>and what it actually leads to in terms of investment opportunities.

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<v Speaker 5>History is littered with examples of great technology that just

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<v Speaker 5>was not a good investment. Gutenberg invented the printing press,

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<v Speaker 5>but he died in poverty. Rare Road bonds were notoriously

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<v Speaker 5>poor investments. We're just not seeing a lot of pure

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<v Speaker 5>plays in AI right now in the public markets. But

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<v Speaker 5>perhaps if investors are turning to the private markets, that

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<v Speaker 5>may be a little bit more plentiful with opportunities for

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<v Speaker 5>AI as there's certainly going to be winners and losers

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<v Speaker 5>in this space, but we're certainly in early stages.

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<v Speaker 2>Okay, So how are investors getting access to the private

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<v Speaker 2>markets on this particular area. Are they looking more to

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<v Speaker 2>access well VC liquidity in some way.

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<v Speaker 5>It would think it's a combination of trying to get

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<v Speaker 5>that direct exposure with those that are actually building the

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<v Speaker 5>software and delivering the AI tools that the end user

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<v Speaker 5>is actually using, but also some of sort of the

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<v Speaker 5>ancillary providers that can help on the margins, whether it's

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<v Speaker 5>delivering the hardware on the tech or it's maybe the

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<v Speaker 5>data centers that are delivering the energy that can help

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<v Speaker 5>facilitate all of this. That the best solution is probably

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<v Speaker 5>a combination of the two, as you don't want to

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<v Speaker 5>sort of put all your bets on one side of

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<v Speaker 5>a trade here and end up missing some of the

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<v Speaker 5>bigger beneficiaries that we're perhaps a little long intuitive as

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<v Speaker 5>you were thinking through it in real time, Mike.

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<v Speaker 2>So's sticking with public markets, you're seeing people trying to

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<v Speaker 2>bet on whether it be the energy stack, whether it

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<v Speaker 2>be the AI hardware or the software stack. From an

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<v Speaker 2>equity perspective, or they're going into the bob market.

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<v Speaker 6>Too, a little bit of both.

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<v Speaker 5>I think the equity markets are probably a little sexier

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<v Speaker 5>from that perspective. Data centers have been really great performers

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<v Speaker 5>over the last couple of years in expectation that there's

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<v Speaker 5>just going to be a big energy sink to be

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<v Speaker 5>able to use these models at scale. We've seen a

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<v Speaker 5>little bit of pushback on that, given some of the

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<v Speaker 5>opportunities we've seen coming out of Deep Seek where they

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<v Speaker 5>were pay able to perhaps do things a little more

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<v Speaker 5>efficiently and pull back on some of those expectations. But

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<v Speaker 5>it's probably a little bit of both on both sides

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<v Speaker 5>of the capital markets, stocks and bonds, where there's going

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<v Speaker 5>to be opportunities here driven by technological innovation.

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<v Speaker 2>I like that you bring that up, Mike, because it

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<v Speaker 2>actually was quite recently that we were all panicking around

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<v Speaker 2>actually whether you needed the scale of investment, you needed

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<v Speaker 2>a scale of infrastructure because of Deep Seat. Well that's

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<v Speaker 2>almost been put to bed. You look at Oracles numbers

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<v Speaker 2>this week. You think about the anxiety around supply. Really,

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<v Speaker 2>that's what the nature of the story has been, people

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<v Speaker 2>can't build it fast enough. Is that where we're back

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<v Speaker 2>to in terms of the market psyche.

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<v Speaker 5>To some extent, I think over the last year or so,

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<v Speaker 5>perhaps pre Deep Seek, there was a lot of concerns

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<v Speaker 5>that just wasn't enough energy to go around, that some

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<v Speaker 5>of these data centers were going to have to build

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<v Speaker 5>out alternative energy sources, maybe flirting with nuclear, but it's

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<v Speaker 5>really I think it falls into the historical precedence where

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<v Speaker 5>when you have a breakthrough technology, it often seems like

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<v Speaker 5>there's a lot of startup costs to really break through

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<v Speaker 5>and get the technology working at scale. But innovation is

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<v Speaker 5>a beautiful thing and finding things, finding ways to do

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<v Speaker 5>things more effectively and efficiently always just seems to occur.

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<v Speaker 5>I think that's happening in real time this year, and

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<v Speaker 5>we could continue to expect that to unfold over the

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<v Speaker 5>years ahead, just finding better ways to build it and

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<v Speaker 5>building a better mousetrap.

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<v Speaker 2>Okay, what about the mousetop? Is it all about the

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<v Speaker 2>United States? Are you looking at other opportunities? Are your investors,

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<v Speaker 2>the people that you're speaking to, wanting to get out

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<v Speaker 2>into Europe and Asia?

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<v Speaker 7>Yeah?

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<v Speaker 5>There was certainly this theory that US exceptionalism in Ai was,

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<v Speaker 5>you know, an uncrackable theme, and I think there are

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<v Speaker 5>some sort of fissures into that theme this year, where

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<v Speaker 5>again you had the deep seek news out of China.

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<v Speaker 5>You have several other countries that are really doing a

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<v Speaker 5>lot to incentivize domestic development of these types of technologies.

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<v Speaker 5>It's happening in the UAE and European Union, many parts

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<v Speaker 5>of Asia. They're trying to build out this technology. So

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<v Speaker 5>it's you know, is the US going to have a

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<v Speaker 5>monopoly on this technology for the foreseeable future remains unseen,

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<v Speaker 5>But you know there's quite a few players that are

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<v Speaker 5>emerging in this market that could end up sharing market

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<v Speaker 5>share on this at.

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<v Speaker 2>G forty two making inroads into Europe and the UK

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<v Speaker 2>will discuss that later in the show. You've had Jensen

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<v Speaker 2>Wang over there in the United Kingdom and Europe making deals.

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<v Speaker 2>Mike iland it here. Therefore, because we've gone global, and

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<v Speaker 2>day is a global day in nature, how people are

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<v Speaker 2>feeling about potential increased tensions in the Middle East, maybe

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<v Speaker 2>even more, How are your investors responding to that at

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<v Speaker 2>this moment.

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<v Speaker 5>So we're cautioning our investors not to react too quickly

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<v Speaker 5>to unfolding geopolitical conflict here so far, I think we're

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<v Speaker 5>following a pretty standard geopolitical blueprint where markets are reacting

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<v Speaker 5>to the uncertainty that just didn't exist a few hours ago.

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<v Speaker 5>But in general, markets tend to see through this type

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<v Speaker 5>of thing, especially for those countries that are not directly

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<v Speaker 5>involved this time around. I think inflation is going to

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<v Speaker 5>be really important to watch here. If energy infrastructure in

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<v Speaker 5>the region starts to come in the crosshairs figuratively or

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<v Speaker 5>perhaps even literally speaking, that could have potential inflationary impacts

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<v Speaker 5>for energy, which is just not just an input cost

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<v Speaker 5>for a direct input costs for consumers, but also for

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<v Speaker 5>a lot of the goods they consume also consume energy,

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<v Speaker 5>So it's we're looking at that pretty close. As well

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<v Speaker 5>as the shipping lanes throughout that region, which can be

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<v Speaker 5>pretty important for global trade. Those are going to be

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<v Speaker 5>really important to watch over the weekend.

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<v Speaker 2>Michael Raynolds, we hope you get some rest over the weekend,

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<v Speaker 2>Vice President of the Investment Strategy at Glen Mead. We

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<v Speaker 2>appreciate your time. Now let's discuss that key story, Israel

0:11:16.920 --> 0:11:20.640
<v Speaker 2>launching multiple strikes across Iran, targeting nuclear facilities, killing top

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<v Speaker 2>military officials. President Trump urging Iran to accepting nuclear deal

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<v Speaker 2>in an effort to avoid further attacks. Iran vowing to

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<v Speaker 2>continue its nuclear program despite the Israeli strikes. For more,

0:11:31.640 --> 0:11:34.680
<v Speaker 2>we turn to Bloombogs. Jomana Vassetchi joins us. Now actually

0:11:34.720 --> 0:11:37.360
<v Speaker 2>based in London just for this week and Jomana you're

0:11:37.440 --> 0:11:39.440
<v Speaker 2>usually in the Middle East, And it's interesting we're getting

0:11:39.440 --> 0:11:42.480
<v Speaker 2>a US official telling Bloomberg News that indeed we are

0:11:42.559 --> 0:11:45.520
<v Speaker 2>still seeing talks lightly to be conducted between the United

0:11:45.559 --> 0:11:46.320
<v Speaker 2>States in Iran.

0:11:48.080 --> 0:11:51.719
<v Speaker 8>Yes, perhaps there is a potential for a de escalation here,

0:11:51.800 --> 0:11:54.080
<v Speaker 8>especially as those sixth round of talks between US and

0:11:54.160 --> 0:11:56.840
<v Speaker 8>Iran we're slated to take place in Oman this weekends.

0:11:57.120 --> 0:11:59.559
<v Speaker 8>Giving the events over the last twenty four hours, at

0:11:59.600 --> 0:12:03.640
<v Speaker 8>the the eventual possibility of those happening was thrown into doubt.

0:12:03.760 --> 0:12:05.920
<v Speaker 8>But of course what we have seen, just as a

0:12:05.920 --> 0:12:09.920
<v Speaker 8>recap is the most significant attack on Iran going back

0:12:09.960 --> 0:12:10.680
<v Speaker 8>to the eighties.

0:12:10.720 --> 0:12:11.880
<v Speaker 2>What Israel did in the.

0:12:11.840 --> 0:12:15.000
<v Speaker 8>Last twenty four hours supersedes all of the events that

0:12:15.120 --> 0:12:19.319
<v Speaker 8>happened last year, both back in April and in October,

0:12:20.200 --> 0:12:23.360
<v Speaker 8>and really constitutes a major blow to Iran, not just

0:12:23.440 --> 0:12:26.440
<v Speaker 8>in terms of the fact that Israel went after specific

0:12:26.559 --> 0:12:29.480
<v Speaker 8>nuclear facilities and even though no radiation has actually been

0:12:29.480 --> 0:12:32.120
<v Speaker 8>recorded from those nuclear facilities, what they did succeed at

0:12:32.160 --> 0:12:35.839
<v Speaker 8>doing is that taking out some senior IRGC. So these

0:12:35.840 --> 0:12:40.520
<v Speaker 8>are Revolutionary Guard commanders, the chief of staff of the

0:12:40.640 --> 0:12:44.280
<v Speaker 8>Armed forces. Some of these people are key masterminds behind

0:12:44.679 --> 0:12:48.079
<v Speaker 8>the attacks that had been conducted on Israel and the

0:12:48.160 --> 0:12:52.400
<v Speaker 8>last year, but also on the IRANQO facilities in Saudi

0:12:52.400 --> 0:12:55.120
<v Speaker 8>Arabia back in twenty nineteen. So some of the key

0:12:55.120 --> 0:12:57.120
<v Speaker 8>players have been taken out with these strikes. Now where

0:12:57.200 --> 0:13:00.880
<v Speaker 8>we go from here. Iran has vowed a harsh retaliation

0:13:01.320 --> 0:13:04.000
<v Speaker 8>already this morning they fired over one hundred drones directed

0:13:04.040 --> 0:13:04.800
<v Speaker 8>towards Israel.

0:13:04.840 --> 0:13:06.280
<v Speaker 2>Those were mainly intercepted.

0:13:06.840 --> 0:13:09.240
<v Speaker 8>But the question from here onwards is how many more

0:13:09.400 --> 0:13:13.000
<v Speaker 8>ballistic missiles they're looking to send towards Israel, whether or

0:13:13.040 --> 0:13:16.760
<v Speaker 8>not this will encapsulate other proxies in the region as well,

0:13:16.760 --> 0:13:20.360
<v Speaker 8>whether the likes of Hezbalahthi's Hamas may get involved in

0:13:20.400 --> 0:13:25.319
<v Speaker 8>the retaliation, and then also whether or not the international

0:13:25.400 --> 0:13:28.520
<v Speaker 8>community look to de escalate from this point onwards. And

0:13:28.559 --> 0:13:31.360
<v Speaker 8>to your point, US plays a significant role here because

0:13:31.640 --> 0:13:35.400
<v Speaker 8>of the possibility of a furthering of those nuclear discussions.

0:13:35.520 --> 0:13:38.560
<v Speaker 8>And let's see whether Iran actually does come to the

0:13:38.600 --> 0:13:39.480
<v Speaker 8>table in good faith.

0:13:40.200 --> 0:13:44.839
<v Speaker 2>Jermanavasseatchi, we really appreciate your time today. Thank you. Now

0:13:44.840 --> 0:13:47.600
<v Speaker 2>coming up, we go back to tech. Apple sets a

0:13:47.640 --> 0:13:51.720
<v Speaker 2>new target for revamp Siri or on that next this

0:13:51.760 --> 0:14:01.600
<v Speaker 2>is pretty bad Tech said to be targeting a new

0:14:01.800 --> 0:14:04.920
<v Speaker 2>internal date of spring twenty twenty six where it's revamped

0:14:04.920 --> 0:14:08.800
<v Speaker 2>SyRI upgrade of the multiple delays. Now that's according to sources.

0:14:09.200 --> 0:14:11.360
<v Speaker 2>Let's get to our own Mark German for more. It

0:14:11.440 --> 0:14:14.720
<v Speaker 2>was but this week that WWDC left us hanging on

0:14:14.800 --> 0:14:16.600
<v Speaker 2>Siri and you bring us some clarity.

0:14:17.920 --> 0:14:20.320
<v Speaker 6>That's exactly right. So they did not talk about serie

0:14:20.400 --> 0:14:24.440
<v Speaker 6>features pretty much at all at WWDC other than to

0:14:24.440 --> 0:14:26.720
<v Speaker 6>say they're still delayed and they'll be arriving in the

0:14:26.720 --> 0:14:29.640
<v Speaker 6>coming year. So I looked into it, and the new

0:14:29.720 --> 0:14:32.800
<v Speaker 6>launch timeframe is likely going to be as part of

0:14:32.840 --> 0:14:35.640
<v Speaker 6>what will be known as iOS twenty six point four,

0:14:36.240 --> 0:14:39.760
<v Speaker 6>and that's currently scheduled for the springtime next year, so

0:14:39.800 --> 0:14:43.560
<v Speaker 6>around March April, and this will deliver the delayed serie features.

0:14:43.600 --> 0:14:46.520
<v Speaker 6>These are the features e to an AI overhaul for

0:14:46.520 --> 0:14:49.120
<v Speaker 6>the voice assistant that we're announced back in June of

0:14:49.120 --> 0:14:51.920
<v Speaker 6>twenty twenty four. So the three main features are the

0:14:51.920 --> 0:14:55.880
<v Speaker 6>ability to tap into your personal data to fulfill serie queries.

0:14:56.240 --> 0:14:59.040
<v Speaker 6>So if I asked for a question such as what

0:14:59.200 --> 0:15:02.520
<v Speaker 6>was the big I sent Caroline last week. It would

0:15:02.520 --> 0:15:04.560
<v Speaker 6>be able to pull up that video or a podcast

0:15:04.640 --> 0:15:08.120
<v Speaker 6>or a song. If I wanted to get analysis of

0:15:08.120 --> 0:15:10.760
<v Speaker 6>something on my screen using Siri, it could do that

0:15:10.840 --> 0:15:14.840
<v Speaker 6>as well. And it has precise control of applications. So

0:15:15.040 --> 0:15:17.880
<v Speaker 6>for instance, I could say, pull up this photo of

0:15:18.160 --> 0:15:22.120
<v Speaker 6>Caroline and edit it and send it to her as

0:15:22.160 --> 0:15:25.600
<v Speaker 6>well as a few other people in our group chat. Right. Yeah,

0:15:25.720 --> 0:15:29.440
<v Speaker 6>those are impressive and big features, all delayed now coming

0:15:29.480 --> 0:15:30.400
<v Speaker 6>about nine months from now.

0:15:30.440 --> 0:15:32.240
<v Speaker 2>I'm waiting for that photo Mark put it on our

0:15:32.280 --> 0:15:35.680
<v Speaker 2>group chat. But Mark, I'm also just remind us what

0:15:35.800 --> 0:15:38.120
<v Speaker 2>the problem has been here? Why has it been so

0:15:38.200 --> 0:15:39.440
<v Speaker 2>difficult to integrate with Siri?

0:15:40.880 --> 0:15:44.240
<v Speaker 6>Apple has been facing some serious engineering and management problems.

0:15:44.240 --> 0:15:46.160
<v Speaker 6>But just to break it down and not to get

0:15:46.200 --> 0:15:50.560
<v Speaker 6>too technical, essentially, Apple had to split Siri into two brains, right.

0:15:50.840 --> 0:15:54.640
<v Speaker 6>The first brain, the more basic one, has to do

0:15:54.680 --> 0:15:57.840
<v Speaker 6>with features like setting alarms, phone calls, all the legacy stuff.

0:15:58.440 --> 0:16:01.280
<v Speaker 6>Then they built a second brain, more based on large

0:16:01.320 --> 0:16:04.400
<v Speaker 6>language models at the core of modern AI, for those

0:16:04.400 --> 0:16:07.720
<v Speaker 6>more advanced features I talked about, right, But making one

0:16:07.800 --> 0:16:11.480
<v Speaker 6>SERI that has two brains combined to do two different

0:16:11.480 --> 0:16:16.320
<v Speaker 6>set of actions had compatibility problems in real world use,

0:16:16.560 --> 0:16:19.280
<v Speaker 6>and I'm told it didn't work properly up to a

0:16:19.320 --> 0:16:21.840
<v Speaker 6>third of the time, which is a lot based on

0:16:21.880 --> 0:16:24.080
<v Speaker 6>how much usage these things are going to get. And

0:16:24.160 --> 0:16:27.200
<v Speaker 6>so what Apple is doing now is rebuilding the underlying

0:16:27.320 --> 0:16:31.160
<v Speaker 6>serie architecture to have one brain based on that newer

0:16:31.200 --> 0:16:34.760
<v Speaker 6>generation technology to handle everything, and that would eliminate the

0:16:34.760 --> 0:16:38.080
<v Speaker 6>compatibility issues, but obviously is going to take more time

0:16:38.160 --> 0:16:38.640
<v Speaker 6>to put.

0:16:38.440 --> 0:16:41.960
<v Speaker 2>Together brilliant storytelling. Marcum and thank you so much for

0:16:42.000 --> 0:16:44.640
<v Speaker 2>the breaking news as well. But let's turn our attention

0:16:44.680 --> 0:16:47.920
<v Speaker 2>to Adobe. Now shares under pressure after the company actually

0:16:47.920 --> 0:16:50.520
<v Speaker 2>gave a sales outlook that was pretty good, but it

0:16:50.520 --> 0:16:52.880
<v Speaker 2>failed to come invest as skeptical about its ability to

0:16:52.960 --> 0:16:56.400
<v Speaker 2>really compete with the AI focused startups. Whimberg's Brady Ford

0:16:56.480 --> 0:16:58.560
<v Speaker 2>joins us now and look shares are off by five

0:16:58.600 --> 0:17:01.000
<v Speaker 2>percent worst days it's March twenty twenty five. Even though

0:17:01.000 --> 0:17:01.720
<v Speaker 2>they've beaten they.

0:17:01.720 --> 0:17:04.840
<v Speaker 9>Raised, right. I mean, so Adobe is this kind of

0:17:04.880 --> 0:17:07.879
<v Speaker 9>poster child of a company which was the kind of

0:17:08.480 --> 0:17:11.520
<v Speaker 9>leader of their industry for twenty years. Nobody could touch them,

0:17:11.760 --> 0:17:14.440
<v Speaker 9>And the question is okay AI's coming. A lot of

0:17:14.480 --> 0:17:15.399
<v Speaker 9>these apps are much.

0:17:15.280 --> 0:17:17.480
<v Speaker 2>More lightweight, cheaper, easier to use.

0:17:18.000 --> 0:17:21.600
<v Speaker 9>Does Adobe stay relevant That's a big question, and investors

0:17:21.640 --> 0:17:23.960
<v Speaker 9>are not convinced. I mean, I think they're down ten

0:17:24.000 --> 0:17:27.320
<v Speaker 9>percent over the last year Adobe's stock and down further today.

0:17:27.720 --> 0:17:30.480
<v Speaker 9>And it's all because of those AI disruption anxieties.

0:17:30.720 --> 0:17:33.480
<v Speaker 2>You're thinking mid journey for example, we're thinking even Soora

0:17:33.600 --> 0:17:36.320
<v Speaker 2>making roads when it comes to making the video side

0:17:36.320 --> 0:17:39.600
<v Speaker 2>of the equation. But Firefly has it been getting some use?

0:17:39.680 --> 0:17:42.720
<v Speaker 2>What was it like two point four billion content stayed

0:17:43.000 --> 0:17:45.080
<v Speaker 2>over the course of it's being used out there in

0:17:45.080 --> 0:17:46.840
<v Speaker 2>the wild. It's been getting used.

0:17:46.840 --> 0:17:48.560
<v Speaker 9>But when I was growing up, if you wanted to

0:17:48.600 --> 0:17:50.639
<v Speaker 9>be like a cool creative person, you had to go

0:17:50.680 --> 0:17:54.520
<v Speaker 9>find a copy of photoshops somewhere Adobe Premier's video editing.

0:17:54.800 --> 0:17:56.720
<v Speaker 9>It's not that way anymore. If you talk to people

0:17:56.720 --> 0:17:58.960
<v Speaker 9>who are young, who are really kind of making cutting edge,

0:17:59.000 --> 0:18:02.560
<v Speaker 9>aren't there using the like these mid journeys Google's vo

0:18:02.680 --> 0:18:04.640
<v Speaker 9>I mean, when it comes to the enterprise level where

0:18:04.680 --> 0:18:07.640
<v Speaker 9>you have a CIO who's worried about cybersecurity, they're still

0:18:07.680 --> 0:18:11.960
<v Speaker 9>buying Adobe. But the question is that next generation, where

0:18:12.040 --> 0:18:13.200
<v Speaker 9>is the mind share going.

0:18:13.920 --> 0:18:15.879
<v Speaker 2>What was also interesting is they tried to win the

0:18:15.920 --> 0:18:19.040
<v Speaker 2>IP battle. I'm trying and say, look, we've got you covered.

0:18:19.080 --> 0:18:20.920
<v Speaker 2>You don't need to be worried. We'll even pay out

0:18:20.960 --> 0:18:23.920
<v Speaker 2>if we find that any of the images you're creating

0:18:23.920 --> 0:18:26.600
<v Speaker 2>are based on some other IP. But people aren't worried

0:18:26.600 --> 0:18:27.760
<v Speaker 2>about that so much anymore.

0:18:27.840 --> 0:18:30.479
<v Speaker 9>It's an interesting question. I mean, we saw Disney suing

0:18:30.520 --> 0:18:32.880
<v Speaker 9>mid Journey a couple of days ago. I'm sure the

0:18:32.920 --> 0:18:35.080
<v Speaker 9>CIO of our company or others is not gonna go

0:18:35.119 --> 0:18:37.800
<v Speaker 9>and pay for a company getting sued by Disney. But

0:18:37.920 --> 0:18:41.000
<v Speaker 9>at this current moment, it's still unsettled. It appears that

0:18:41.160 --> 0:18:44.920
<v Speaker 9>the anxieties around hey, scraping data to build models, is

0:18:44.960 --> 0:18:47.720
<v Speaker 9>that gonna be okay? It seems like a lot of

0:18:47.760 --> 0:18:49.800
<v Speaker 9>buyers at this point are swayed.

0:18:49.520 --> 0:18:52.920
<v Speaker 2>Against it, like I'm more convincing to do Brinberg's berdie

0:18:52.920 --> 0:19:02.520
<v Speaker 2>Ford brilliant as always, Thank you. AMD CEO Lisa Soon

0:19:02.840 --> 0:19:06.240
<v Speaker 2>said her company's latest day I processes can challenge in

0:19:06.320 --> 0:19:09.240
<v Speaker 2>video chips in a market she expects to saw past

0:19:09.240 --> 0:19:12.440
<v Speaker 2>five hundred billion dollars in the next three years now.

0:19:12.440 --> 0:19:14.399
<v Speaker 2>This is as the company aims to play catch up

0:19:14.400 --> 0:19:16.760
<v Speaker 2>with in video in AI accelerators with its new products.

0:19:16.880 --> 0:19:19.800
<v Speaker 2>Let's talk about them. Bring meg Intelligence analyst Contrins Savani's

0:19:19.800 --> 0:19:21.600
<v Speaker 2>hey with us. You're at the event, you're assessing what's

0:19:21.640 --> 0:19:25.280
<v Speaker 2>been discussed the Mi three fifty. Will it be fast

0:19:25.400 --> 0:19:27.560
<v Speaker 2>enough to stop winning more market share?

0:19:29.000 --> 0:19:31.119
<v Speaker 10>I mean, if you look at their event and announcement

0:19:31.160 --> 0:19:34.280
<v Speaker 10>in isolation, we think there were many positives. One the

0:19:34.359 --> 0:19:37.960
<v Speaker 10>customer adoption is broadening some of the new names like Xai,

0:19:38.119 --> 0:19:40.720
<v Speaker 10>open Ai, Oracle. The deal with Oracle, which we think

0:19:40.720 --> 0:19:43.679
<v Speaker 10>will be the largest three to fifty five deals so

0:19:43.760 --> 0:19:46.919
<v Speaker 10>far yet for and will show results in the second half.

0:19:47.280 --> 0:19:51.040
<v Speaker 10>These were really surprisingly positive. Remember these have been traditionally

0:19:51.200 --> 0:19:55.359
<v Speaker 10>and VIDIA only houses, so them getting to these customers

0:19:55.400 --> 0:19:58.320
<v Speaker 10>is a pretty big deal. They showed continued progress on

0:19:58.359 --> 0:20:00.879
<v Speaker 10>the hardware with the announcement of the roadmap with the

0:20:01.200 --> 0:20:04.840
<v Speaker 10>four hundred Elio server rack, and it's more important the software,

0:20:05.000 --> 0:20:07.440
<v Speaker 10>which they have been lagging until as of last year.

0:20:07.960 --> 0:20:11.440
<v Speaker 10>So a what a lot of impressive progress on all aspects.

0:20:11.600 --> 0:20:15.520
<v Speaker 10>But the challenge is the competition also continues to speed ahead,

0:20:15.680 --> 0:20:16.880
<v Speaker 10>and they have had a headstart.

0:20:17.480 --> 0:20:21.080
<v Speaker 2>They have and boy does everyone just relentlessly compare them

0:20:21.240 --> 0:20:24.399
<v Speaker 2>to Jensen's powerhouse. You say on your note that really

0:20:24.440 --> 0:20:26.760
<v Speaker 2>that MI four hundred ramp up in twenty twenty six

0:20:26.840 --> 0:20:29.879
<v Speaker 2>is gonna be the key inflection point for potential share

0:20:29.920 --> 0:20:33.080
<v Speaker 2>gain in a way, though, do they need it, Kenjym

0:20:33.119 --> 0:20:35.600
<v Speaker 2>because in many ways the issue for Nvidia is a

0:20:35.640 --> 0:20:38.359
<v Speaker 2>supply side issue. They can't make them fast enough. So

0:20:38.440 --> 0:20:41.080
<v Speaker 2>is there still so much market for Lisa's who to.

0:20:41.040 --> 0:20:42.840
<v Speaker 6>Take there is?

0:20:42.880 --> 0:20:45.120
<v Speaker 10>And why that's a inflection point is when you think

0:20:45.160 --> 0:20:48.720
<v Speaker 10>about the current competition or the playground, right, it is

0:20:48.760 --> 0:20:52.600
<v Speaker 10>all about server level rack solution, not about chips anymore.

0:20:52.840 --> 0:20:55.440
<v Speaker 10>AMD is still not there yet. So the Helios RAC

0:20:55.520 --> 0:20:59.440
<v Speaker 10>will be their first iteration using the ZT acquisition talent

0:20:59.480 --> 0:21:02.480
<v Speaker 10>that they acquire and expertise where they can really compete

0:21:02.520 --> 0:21:05.600
<v Speaker 10>head to head with Nvidia, assuming and Media doesn't move

0:21:05.880 --> 0:21:08.840
<v Speaker 10>forward another year from there. But that is what they

0:21:08.880 --> 0:21:12.439
<v Speaker 10>really need. What they're really missing is a big cluster

0:21:12.600 --> 0:21:14.359
<v Speaker 10>level server RACKCHI view solution.

0:21:15.200 --> 0:21:18.159
<v Speaker 2>What's interesting is are they all still fighting for the

0:21:18.280 --> 0:21:21.160
<v Speaker 2>training side of the equation. We've all just been dominated

0:21:21.160 --> 0:21:24.480
<v Speaker 2>about the inference and there are some really powerful scartups

0:21:24.480 --> 0:21:26.880
<v Speaker 2>coming into that space trying to take marketshap too.

0:21:28.280 --> 0:21:31.439
<v Speaker 10>I think they're leading by competing in inference because that

0:21:31.560 --> 0:21:34.199
<v Speaker 10>is where they have the edge given their higher or

0:21:34.760 --> 0:21:37.199
<v Speaker 10>I would say apples to apples, higher memory bandwidth and

0:21:37.240 --> 0:21:40.560
<v Speaker 10>efficiency there and a lower TCO. So they're getting into

0:21:40.560 --> 0:21:43.800
<v Speaker 10>the customer doors through inference, and once they're proven and

0:21:43.960 --> 0:21:46.240
<v Speaker 10>starting to gain a little bit more share, then they're

0:21:46.280 --> 0:21:48.560
<v Speaker 10>showing up like, hey you can still try us for training,

0:21:48.880 --> 0:21:51.320
<v Speaker 10>and you know that's how they're trying to increase a

0:21:51.359 --> 0:21:53.600
<v Speaker 10>little bit of a share in training. We still like

0:21:53.680 --> 0:21:57.119
<v Speaker 10>the inference play. Remember, going forward, inference we expect to

0:21:57.200 --> 0:21:59.640
<v Speaker 10>grow faster than training. Yes, training will be a big

0:21:59.760 --> 0:22:02.640
<v Speaker 10>chunk still, but there will be a lot more broader

0:22:02.720 --> 0:22:04.000
<v Speaker 10>customer based for influence.

0:22:04.160 --> 0:22:07.760
<v Speaker 2>Bloomberg Intelligence analyst Savani So great to get your analysis.

0:22:07.760 --> 0:22:15.680
<v Speaker 2>Thank you, Welcome back to Bloomberg Tech. I'm Caroline Hide

0:22:15.680 --> 0:22:17.560
<v Speaker 2>in New York. Let's get a quick check on these markets.

0:22:17.680 --> 0:22:21.879
<v Speaker 2>But we are consumed by geopolitics today, anxiety around the

0:22:21.880 --> 0:22:24.560
<v Speaker 2>Middle East after Israel's track on Iran. We see the

0:22:24.600 --> 0:22:26.800
<v Speaker 2>NASA that one hundred off by six ten percent, as

0:22:26.840 --> 0:22:29.080
<v Speaker 2>we see that risker version play in, but not for

0:22:29.160 --> 0:22:32.200
<v Speaker 2>all names. Oracle up five percent. It is just managing

0:22:32.240 --> 0:22:34.879
<v Speaker 2>to ramp up higher a new record high after they

0:22:34.920 --> 0:22:37.679
<v Speaker 2>posted earnings earlier in the week saying that they are

0:22:37.680 --> 0:22:40.440
<v Speaker 2>going to be getting seventy percent gaining cloud infrastructure sales

0:22:40.440 --> 0:22:42.920
<v Speaker 2>in this fiscal year. Adobe is down on its earnings.

0:22:42.920 --> 0:22:44.840
<v Speaker 2>We discussed it with Brodie Ford of by five percent,

0:22:44.880 --> 0:22:47.199
<v Speaker 2>not enough to quell anxiety that it won't be an

0:22:47.200 --> 0:22:49.520
<v Speaker 2>AI winner. Move on, have a look at what's happening

0:22:49.560 --> 0:22:51.879
<v Speaker 2>in broader assets, though. I want to shine a light

0:22:51.880 --> 0:22:54.040
<v Speaker 2>on what's happening in the world of crypto because Bitcoin,

0:22:54.320 --> 0:22:57.520
<v Speaker 2>look isn't actually playing out as a haven today so much.

0:22:57.520 --> 0:22:59.240
<v Speaker 2>It's coming off of its lows. Look, we're still one

0:22:59.320 --> 0:23:01.280
<v Speaker 2>hundred and five pound, but it is off by three

0:23:01.359 --> 0:23:04.560
<v Speaker 2>tens percent as we sell risk. But let's just talk

0:23:04.600 --> 0:23:07.760
<v Speaker 2>more broadly about the movement within crypto and stable coins

0:23:07.760 --> 0:23:11.040
<v Speaker 2>in particular. This comes as a Senate nears the passage

0:23:11.080 --> 0:23:14.200
<v Speaker 2>of the Genius Act, which would regulate integrating stable coins

0:23:14.240 --> 0:23:16.760
<v Speaker 2>more into mainstream finance. I want to shine out, like

0:23:16.760 --> 0:23:19.280
<v Speaker 2>what's happening with these names Visa and MasterCard currently off

0:23:19.280 --> 0:23:22.159
<v Speaker 2>by five percent four percent because reports coming out of

0:23:22.160 --> 0:23:26.200
<v Speaker 2>the Wall Street Journal that look, big players Amazon Walmart

0:23:26.320 --> 0:23:29.560
<v Speaker 2>are studying their own stable coins. Does this cut out

0:23:29.600 --> 0:23:33.439
<v Speaker 2>the middlemen, the card providers thus far, and of course

0:23:33.560 --> 0:23:35.560
<v Speaker 2>we're going to speak to one beneficiary of all of

0:23:35.560 --> 0:23:38.879
<v Speaker 2>this legislation, all of the move towards stable coins and

0:23:38.920 --> 0:23:42.800
<v Speaker 2>digital payments. It's Circle Circle. CEO Jeremy Elaire joins me

0:23:42.880 --> 0:23:46.879
<v Speaker 2>now on set this report that potentially we see Amazon

0:23:46.920 --> 0:23:51.000
<v Speaker 2>Walmart already really galvanizing themselves to have their own stable coins.

0:23:51.119 --> 0:23:55.120
<v Speaker 2>How quickly could that up end Visa and MasterCard.

0:23:55.440 --> 0:23:59.280
<v Speaker 11>Well, look, I think if you're a major technology company,

0:23:59.520 --> 0:24:03.240
<v Speaker 11>or your major commerce firm, or you're a major financial institution,

0:24:04.160 --> 0:24:07.919
<v Speaker 11>when you get legal certainty that stable coin money is

0:24:08.000 --> 0:24:11.359
<v Speaker 11>a new form of electronic money that is available to

0:24:11.400 --> 0:24:14.960
<v Speaker 11>the global financial system, you're going to pay attention. And

0:24:15.520 --> 0:24:18.680
<v Speaker 11>obviously you're going to look at the technology, the progress

0:24:18.760 --> 0:24:21.800
<v Speaker 11>of the technology as well. And I think the conclusion

0:24:21.840 --> 0:24:24.680
<v Speaker 11>that a lot of major firms are reaching is that

0:24:25.240 --> 0:24:27.840
<v Speaker 11>this is the new money layer of the Internet, and

0:24:28.200 --> 0:24:32.760
<v Speaker 11>it provides tremendous technology to innovate beyond.

0:24:32.400 --> 0:24:34.200
<v Speaker 4>What we've been able to innovate with money.

0:24:33.920 --> 0:24:38.160
<v Speaker 11>Before, and it offers tremendous benefits ultimately to these firms

0:24:38.200 --> 0:24:41.560
<v Speaker 11>bottom lines. And so it's a it's a technology that's

0:24:41.640 --> 0:24:45.159
<v Speaker 11>ready and it's you know, a technology with the Genius

0:24:45.200 --> 0:24:47.240
<v Speaker 11>Act which you refer to, I think, which gets the

0:24:47.320 --> 0:24:50.760
<v Speaker 11>legal certainty to really utilize this at scale. And so

0:24:51.000 --> 0:24:53.640
<v Speaker 11>from my perspective, first of all, it's not surprising at all,

0:24:53.960 --> 0:24:56.480
<v Speaker 11>and I think it's a it's a tremendous opportunity as

0:24:56.520 --> 0:24:59.480
<v Speaker 11>the world connects to UH to this new form of

0:25:00.040 --> 0:25:00.919
<v Speaker 11>currency on the Internet.

0:25:01.000 --> 0:25:02.760
<v Speaker 2>Is it not surprising a tool because they're coming to

0:25:02.800 --> 0:25:05.640
<v Speaker 2>you to help build the infrastructure there, how much would

0:25:05.720 --> 0:25:09.480
<v Speaker 2>USDC or indeed what circle does be what Amazon and

0:25:09.480 --> 0:25:10.600
<v Speaker 2>Walmart eventually adopt.

0:25:10.880 --> 0:25:15.200
<v Speaker 11>We see tremendous opportunities to collaborate with major technology firms,

0:25:15.240 --> 0:25:19.440
<v Speaker 11>major payments companies, major financial institutions, and we already do.

0:25:19.480 --> 0:25:23.000
<v Speaker 11>We work with some of the biggest household names. I mean,

0:25:23.040 --> 0:25:28.200
<v Speaker 11>even just yesterday we saw Shopify announce that they're making

0:25:28.359 --> 0:25:34.840
<v Speaker 11>USDC payments a default option automatically for every merchant on

0:25:34.920 --> 0:25:37.240
<v Speaker 11>their platform in the US and then in Europe.

0:25:37.280 --> 0:25:39.120
<v Speaker 4>That's like a million merchants, so.

0:25:39.080 --> 0:25:43.000
<v Speaker 2>Like a PayPal button, and then the USDC people will

0:25:43.040 --> 0:25:46.520
<v Speaker 2>be there by default, and in fact, not only that

0:25:46.640 --> 0:25:51.040
<v Speaker 2>they're offering, they'll be offering merchants half a percent cash

0:25:51.119 --> 0:25:52.080
<v Speaker 2>back to the merchant.

0:25:52.359 --> 0:25:55.720
<v Speaker 11>So they're going to actually compensate the merchant, which is incredible.

0:25:55.800 --> 0:25:59.960
<v Speaker 11>And so I think you're seeing platforms like this adopted

0:26:00.200 --> 0:26:04.199
<v Speaker 11>USDC and so you know, as the operator of the

0:26:04.240 --> 0:26:08.280
<v Speaker 11>world's largest regulated stable coin network in the world, we

0:26:08.320 --> 0:26:11.080
<v Speaker 11>want to you know, we're really a market neutral infrastructure.

0:26:11.080 --> 0:26:13.639
<v Speaker 11>We don't compete for consumers or merchants or businesses. We

0:26:13.680 --> 0:26:16.640
<v Speaker 11>want to work with everybody to take advantage of this

0:26:16.960 --> 0:26:18.400
<v Speaker 11>breakthrough technology innovation.

0:26:19.160 --> 0:26:22.000
<v Speaker 2>The breakthrough comes with the regulatory support. As you say,

0:26:22.040 --> 0:26:24.000
<v Speaker 2>Genius Act. When do you expect it to come into play?

0:26:24.600 --> 0:26:28.359
<v Speaker 11>Well, yesterday the Genius Act passed a critical cloture vote

0:26:28.359 --> 0:26:31.399
<v Speaker 11>with a super majority bipartisan, and so that sets it

0:26:31.440 --> 0:26:34.560
<v Speaker 11>on a glide path to pass the Senate on Tuesday.

0:26:34.200 --> 0:26:34.800
<v Speaker 4>Of next week.

0:26:35.080 --> 0:26:39.040
<v Speaker 2>We actually previously did hear from Tim Scott. Of course

0:26:39.040 --> 0:26:41.920
<v Speaker 2>he's been leading the charge in many ways on crypto

0:26:42.000 --> 0:26:45.320
<v Speaker 2>more broadly, but he's been speaking to Bloomberg about some

0:26:45.359 --> 0:26:47.640
<v Speaker 2>of the opportunities around stable coin and leading the charge

0:26:47.640 --> 0:26:49.600
<v Speaker 2>here in the United States. As of course a key

0:26:49.640 --> 0:26:50.879
<v Speaker 2>representative just take a listen.

0:26:51.880 --> 0:26:55.160
<v Speaker 12>With a bipartisan genius ad we can do more than

0:26:55.359 --> 0:27:01.199
<v Speaker 12>just pass a bill. We can deliver results for the

0:27:01.240 --> 0:27:05.480
<v Speaker 12>American people. We can bring clarity for a sector that's

0:27:05.520 --> 0:27:10.080
<v Speaker 12>been clouded by uncertainty, and we can make it known

0:27:11.359 --> 0:27:16.200
<v Speaker 12>the United States will lead, not follow, in the digital

0:27:16.280 --> 0:27:17.520
<v Speaker 12>asset revolution.

0:27:18.840 --> 0:27:22.320
<v Speaker 2>Chairman of the Senate Banking Committee, an important voice. What's

0:27:22.320 --> 0:27:24.639
<v Speaker 2>interesting with Tim Scott is now he's also pushing us

0:27:24.720 --> 0:27:28.240
<v Speaker 2>towards where we go with broader crypto adoption. Yes, we

0:27:28.240 --> 0:27:30.320
<v Speaker 2>get the Genius Act, but then what of the Clarity

0:27:30.359 --> 0:27:32.560
<v Speaker 2>Act as it's called. How much further would that take

0:27:32.560 --> 0:27:33.240
<v Speaker 2>your industry?

0:27:33.800 --> 0:27:37.439
<v Speaker 11>Well, look, there's this incredible innovation of blockchains, there's this

0:27:37.480 --> 0:27:41.520
<v Speaker 11>incredible innovation of digital assets, digital tokens, and we need

0:27:41.760 --> 0:27:46.120
<v Speaker 11>legal clarity on what these are, how you can offer them,

0:27:46.200 --> 0:27:49.320
<v Speaker 11>how they can be used, the platforms that where they

0:27:49.400 --> 0:27:52.800
<v Speaker 11>need to be registered or regulated, and where you know,

0:27:52.800 --> 0:27:55.880
<v Speaker 11>there's just very clear rules for issuers. So I think

0:27:55.880 --> 0:27:58.680
<v Speaker 11>the Clarity Act is essential. I think it is a

0:27:58.800 --> 0:28:01.400
<v Speaker 11>very strong piece of legend. I know there's more work

0:28:01.400 --> 0:28:04.879
<v Speaker 11>to do on that ultimately in the Senate, but I

0:28:04.880 --> 0:28:07.280
<v Speaker 11>think the combination of both the Genius Act and the

0:28:07.280 --> 0:28:12.440
<v Speaker 11>Clarity Act ultimately creates an incredible environment for a rules

0:28:12.440 --> 0:28:15.119
<v Speaker 11>based system in the United States a competitive environment, and

0:28:15.200 --> 0:28:18.240
<v Speaker 11>I believe does accomplish the objective of making the United

0:28:18.240 --> 0:28:22.359
<v Speaker 11>States sort of the capital of this new form of

0:28:22.359 --> 0:28:23.199
<v Speaker 11>technology innovation.

0:28:23.280 --> 0:28:25.480
<v Speaker 4>It's a great opportunity for American companies as well.

0:28:25.760 --> 0:28:29.240
<v Speaker 2>Briefly, it's been good timing to go public. Your shares

0:28:29.520 --> 0:28:32.919
<v Speaker 2>absolutely soored since they first started training last week. How

0:28:32.920 --> 0:28:33.440
<v Speaker 2>does it feel.

0:28:34.359 --> 0:28:37.800
<v Speaker 11>I mean, look, we're very excited to be a public company.

0:28:38.360 --> 0:28:43.840
<v Speaker 11>It's critical from our perspective to just enhance the trust, transparency, compliance,

0:28:43.880 --> 0:28:46.720
<v Speaker 11>good governance that we're known for. And I think in

0:28:46.800 --> 0:28:49.920
<v Speaker 11>particular at this moment when we're getting this legal clarity

0:28:50.520 --> 0:28:54.840
<v Speaker 11>around the world on stable coin money, and in particular,

0:28:55.200 --> 0:28:57.440
<v Speaker 11>as you said, these major companies are looking at this.

0:28:57.880 --> 0:29:00.720
<v Speaker 11>We think that being a public company will serve us

0:29:00.760 --> 0:29:01.720
<v Speaker 11>well in.

0:29:01.800 --> 0:29:03.840
<v Speaker 4>Working with the leading institutions of the world.

0:29:04.000 --> 0:29:07.520
<v Speaker 11>So from that perspective, you know, we're really pleased and

0:29:07.920 --> 0:29:10.520
<v Speaker 11>excited to build tremendous partnerships around the world.

0:29:10.680 --> 0:29:13.520
<v Speaker 2>Oh and you sink some of those partnerships do come

0:29:13.560 --> 0:29:16.120
<v Speaker 2>back on to talk all about it circle CEO Jeremy Elaire,

0:29:16.560 --> 0:29:20.680
<v Speaker 2>we appreciate it coming up. Felisa's raises nine hundred million

0:29:20.680 --> 0:29:23.280
<v Speaker 2>dollars in its tenth round. This is a fund of course,

0:29:23.640 --> 0:29:26.480
<v Speaker 2>and Felice's managing partner, Sunday p Choo is going to

0:29:26.480 --> 0:29:35.320
<v Speaker 2>be joining us next as the Bloomberg Tech. It is

0:29:35.360 --> 0:29:38.280
<v Speaker 2>time now for talking tech first up. Chinese authorities have

0:29:38.320 --> 0:29:42.040
<v Speaker 2>released draft guidelines on the transmission of car data from

0:29:42.080 --> 0:29:44.880
<v Speaker 2>overseas vehicles look as a move that could benefit Tesla

0:29:45.000 --> 0:29:47.800
<v Speaker 2>and it's autonomous driving features. In marks the first time

0:29:47.800 --> 0:29:51.000
<v Speaker 2>Beijing has really clarified its stance on data generated and

0:29:51.040 --> 0:29:54.960
<v Speaker 2>exported from within China. Plus Abu Dhabi's G forty two

0:29:55.000 --> 0:29:57.680
<v Speaker 2>when it's planning to launch a European unit G forty

0:29:57.720 --> 0:29:59.880
<v Speaker 2>two Europe and UK, but it's set to deploy a

0:30:00.200 --> 0:30:02.840
<v Speaker 2>solutions for the private sector, partnering with governments too. Now.

0:30:02.840 --> 0:30:05.040
<v Speaker 2>The announcement comes as in video CEO does and one

0:30:05.360 --> 0:30:09.480
<v Speaker 2>forecasts a tenfold increase in Europe's AI computing capacity over

0:30:09.480 --> 0:30:13.160
<v Speaker 2>the next two years. And GameStop Welz says the company's

0:30:13.160 --> 0:30:16.720
<v Speaker 2>future is in training cards, saying the likes of pokemonon

0:30:16.840 --> 0:30:19.960
<v Speaker 2>sports cards aligned with the company's heritage, maybe not gaming

0:30:20.240 --> 0:30:23.520
<v Speaker 2>game stops. Collectible's business made up twenty nine percent revenue

0:30:23.560 --> 0:30:25.440
<v Speaker 2>in the first quarter of the company planning to add

0:30:25.440 --> 0:30:28.080
<v Speaker 2>two hundred and eighty more stores that will offer training

0:30:28.120 --> 0:30:33.680
<v Speaker 2>card evaluation services. Right, it's time for today's VC spotlight.

0:30:33.720 --> 0:30:38.160
<v Speaker 2>Now and Felisa's has announced a nine hundred million dollar

0:30:38.200 --> 0:30:42.480
<v Speaker 2>tenth fund, the fund's largest ever to date. Let's bring

0:30:42.520 --> 0:30:46.200
<v Speaker 2>in Sunday Peache is Felie's managing partner joining us now

0:30:46.480 --> 0:30:49.560
<v Speaker 2>and Sunday just tell us who the LPs are, what

0:30:49.600 --> 0:30:51.840
<v Speaker 2>they're excited about you allocating.

0:30:51.280 --> 0:30:56.200
<v Speaker 7>Towards HI carline. It's wonderful to be here. It's it's

0:30:56.240 --> 0:31:00.200
<v Speaker 7>a very exciting week for us. It's we've raised nine

0:31:00.280 --> 0:31:04.160
<v Speaker 7>hundred million, our largest fund yet from mostly US institutions

0:31:04.200 --> 0:31:07.400
<v Speaker 7>that we're super proud to take money from. And these

0:31:07.400 --> 0:31:13.480
<v Speaker 7>are hospital systems, museums, university endowments that are all doing

0:31:13.560 --> 0:31:16.040
<v Speaker 7>like great things in the world, and we're proud to

0:31:16.040 --> 0:31:17.640
<v Speaker 7>be in business with them, and we're proud to like

0:31:18.080 --> 0:31:21.000
<v Speaker 7>multiply their money and you know, have it, you know,

0:31:21.120 --> 0:31:22.440
<v Speaker 7>go back to some great causes.

0:31:23.120 --> 0:31:26.280
<v Speaker 2>I'm just really interested sending more broadly in where you

0:31:26.360 --> 0:31:28.480
<v Speaker 2>therefore put the money, because at the moment it sounds

0:31:28.520 --> 0:31:30.120
<v Speaker 2>as though you're going to be in general to AI

0:31:30.200 --> 0:31:32.760
<v Speaker 2>more for Throttle. It's going to be the infrastructure air

0:31:32.800 --> 0:31:35.440
<v Speaker 2>but that feels like a very busy, very crowded space.

0:31:35.480 --> 0:31:36.800
<v Speaker 2>Who are the companies are depending on?

0:31:38.120 --> 0:31:39.760
<v Speaker 7>Yeah, I mean just to give you know, take a

0:31:39.760 --> 0:31:44.000
<v Speaker 7>step back here. Felicius was actually born in twenty tens.

0:31:44.280 --> 0:31:46.920
<v Speaker 7>Our very first institutional fund was just at the beginning

0:31:47.000 --> 0:31:50.400
<v Speaker 7>of the cloud and the mobile tech supercycle. And you know,

0:31:50.440 --> 0:31:53.080
<v Speaker 7>we've been very fortunate that we found some like amazing,

0:31:53.120 --> 0:31:56.600
<v Speaker 7>amazing businesses as part of that household names today like

0:31:56.600 --> 0:31:59.560
<v Speaker 7>a shop of I add in, a Canva and a

0:31:59.600 --> 0:32:04.080
<v Speaker 7>notion and so we're now at another exciting text supercycle

0:32:04.240 --> 0:32:06.600
<v Speaker 7>in AI, you know, just in the first or second innings,

0:32:06.640 --> 0:32:09.080
<v Speaker 7>if you will, And so there's a lot of excitemente

0:32:09.080 --> 0:32:11.480
<v Speaker 7>In the past two years, two thirds of our investments

0:32:11.520 --> 0:32:14.440
<v Speaker 7>have been AI native companies. Most of our investments are

0:32:14.480 --> 0:32:17.080
<v Speaker 7>like usually first or second money in so we're playing

0:32:17.400 --> 0:32:21.760
<v Speaker 7>very very much into the AI supercycle. Household names hopefully

0:32:21.880 --> 0:32:23.880
<v Speaker 7>like the canvas of the world ten years from now

0:32:23.880 --> 0:32:27.880
<v Speaker 7>that go public us both the infrastructure stack as well

0:32:27.880 --> 0:32:29.000
<v Speaker 7>as the application stack.

0:32:29.760 --> 0:32:34.080
<v Speaker 2>It's interesting. We had Meno Ventures partner on yesterday and

0:32:34.320 --> 0:32:38.600
<v Speaker 2>Sean was telling us that in certain areas the funding

0:32:38.720 --> 0:32:41.960
<v Speaker 2>just seems extraordinary. The valuations once again almost fail a

0:32:42.000 --> 0:32:45.120
<v Speaker 2>kin to twenty twenty one. Is that what's happening right now?

0:32:45.160 --> 0:32:47.160
<v Speaker 2>How are you getting in at a decent price point?

0:32:48.360 --> 0:32:48.640
<v Speaker 6>Yeah?

0:32:49.040 --> 0:32:51.880
<v Speaker 7>Look, I think valuations, you know, continue to be market

0:32:52.040 --> 0:32:54.640
<v Speaker 7>driven in many ways. And we're not the only ones excited,

0:32:54.680 --> 0:32:56.760
<v Speaker 7>BODYI But if you take a step back, the reason

0:32:56.800 --> 0:33:00.320
<v Speaker 7>why everybody's excited, aboudyie is that even like you look

0:33:00.320 --> 0:33:02.920
<v Speaker 7>at like the broad arc of tech history, what tech

0:33:03.000 --> 0:33:05.840
<v Speaker 7>is really good at is providing us products and services

0:33:06.120 --> 0:33:09.960
<v Speaker 7>that are previously expensive or like inaccessible except to like

0:33:10.000 --> 0:33:11.880
<v Speaker 7>a very few, and bringing it all the way down

0:33:11.920 --> 0:33:14.440
<v Speaker 7>tomarketizing that you know, to the masses if you will.

0:33:14.600 --> 0:33:16.720
<v Speaker 7>And you know a great examples of these and the

0:33:16.760 --> 0:33:19.960
<v Speaker 7>last tech cycle where companies like Canba that allowed everybody

0:33:20.040 --> 0:33:22.400
<v Speaker 7>to design. Now over two hundred million people use Canba

0:33:22.440 --> 0:33:24.720
<v Speaker 7>to design. You know, you have something like a Shopify,

0:33:24.840 --> 0:33:27.640
<v Speaker 7>anybody can become an entrepreneur and millions have become entrepreneurs

0:33:27.680 --> 0:33:31.920
<v Speaker 7>because of Shopify. An Uber gave us all private driver

0:33:32.080 --> 0:33:34.520
<v Speaker 7>and Airbnb gave us all a vacation rental. And so

0:33:35.040 --> 0:33:37.240
<v Speaker 7>you know, you take that forward and you think about

0:33:37.240 --> 0:33:39.280
<v Speaker 7>like what AI can do for us. It's you know,

0:33:39.360 --> 0:33:41.400
<v Speaker 7>every household I mean, think about how many times we

0:33:41.480 --> 0:33:43.800
<v Speaker 7>keep talking about, you know, I wish I had like

0:33:43.840 --> 0:33:47.280
<v Speaker 7>a private tutor for my kids. I wish I had,

0:33:47.440 --> 0:33:49.440
<v Speaker 7>you know, a therapist like and they're so expensive. Every

0:33:49.480 --> 0:33:52.200
<v Speaker 7>session is expensive. They're hard to find. Think about all

0:33:52.200 --> 0:33:54.880
<v Speaker 7>of the labor that kind of goes into household services

0:33:55.000 --> 0:33:58.000
<v Speaker 7>or if you move that to businesses, you have you know,

0:33:58.040 --> 0:34:01.120
<v Speaker 7>things that are available to senior management, like executive assistant order,

0:34:01.160 --> 0:34:03.760
<v Speaker 7>an executive coach, that are not available to everybody else.

0:34:03.800 --> 0:34:07.960
<v Speaker 7>And EI is expanding the surface of software so drastically.

0:34:08.160 --> 0:34:11.040
<v Speaker 7>And if you think think about this, Caroline, just one

0:34:11.080 --> 0:34:13.920
<v Speaker 7>to two percent of world GDP currently spent on software.

0:34:14.040 --> 0:34:17.360
<v Speaker 7>And EI is so radically restructuring the surface area of software.

0:34:17.520 --> 0:34:20.520
<v Speaker 7>And you can be an AI pessimist or optimist, and

0:34:20.640 --> 0:34:22.640
<v Speaker 7>those numbers in ten years are going to be different

0:34:22.680 --> 0:34:24.960
<v Speaker 7>for each one of us, but none of us are

0:34:24.960 --> 0:34:26.799
<v Speaker 7>going to disagree that that number is going to move

0:34:26.840 --> 0:34:27.560
<v Speaker 7>up drastically.

0:34:27.840 --> 0:34:31.120
<v Speaker 2>Something very briefly like you have had some superb exits

0:34:31.160 --> 0:34:33.200
<v Speaker 2>and think a shop of fire Addy, and you are

0:34:33.239 --> 0:34:34.919
<v Speaker 2>in some of the hottest names. When I think about

0:34:35.000 --> 0:34:37.799
<v Speaker 2>Runway and in dcanva. How much pressure have you seen

0:34:37.840 --> 0:34:40.319
<v Speaker 2>from LPs being like, we need the liquidity now. How

0:34:40.400 --> 0:34:43.480
<v Speaker 2>quickly do you think these doors can remain open? Briefly?

0:34:44.600 --> 0:34:46.279
<v Speaker 7>I think I think you know, for the very very

0:34:46.280 --> 0:34:48.800
<v Speaker 7>best companies you think about a canva, like their shares

0:34:48.800 --> 0:34:50.879
<v Speaker 7>can trade every single day. They don't have to even

0:34:50.960 --> 0:34:53.600
<v Speaker 7>raise any primary money. They've been so profitable for so

0:34:53.719 --> 0:34:56.400
<v Speaker 7>long that in the secondary markets you always have the

0:34:56.440 --> 0:34:59.919
<v Speaker 7>ability to exit if you want. And we've selectively chosen

0:35:00.040 --> 0:35:02.600
<v Speaker 7>that for our LPs and giving them back like some distribution,

0:35:03.560 --> 0:35:05.920
<v Speaker 7>and so we've done that like an honor. Many other

0:35:05.920 --> 0:35:07.759
<v Speaker 7>funds have done that, so I'm not worried about that.

0:35:07.800 --> 0:35:09.840
<v Speaker 7>I think one of the things you know, think about

0:35:09.960 --> 0:35:12.480
<v Speaker 7>is that given this new AI tech cycle, if you

0:35:12.560 --> 0:35:15.520
<v Speaker 7>assume that the software as a percentage of GDP doubles,

0:35:15.560 --> 0:35:18.400
<v Speaker 7>let's say conservatively, that's hundreds of billions of dollars of

0:35:18.440 --> 0:35:20.719
<v Speaker 7>new spend that is going to get allocated to new

0:35:20.719 --> 0:35:23.920
<v Speaker 7>products and services that are AI. Our job is to

0:35:23.920 --> 0:35:27.040
<v Speaker 7>basically go and find those outlier businesses for our LPs

0:35:27.320 --> 0:35:29.520
<v Speaker 7>and find the next Shopify and canby and add and

0:35:29.840 --> 0:35:32.160
<v Speaker 7>you know before they're obvious.

0:35:31.840 --> 0:35:35.319
<v Speaker 2>Sname Petru thanks for bringing it. Foreleases on the new

0:35:35.400 --> 0:35:46.400
<v Speaker 2>tenth fund Media LGBTQ plus dating app Grinder. As popularity

0:35:46.440 --> 0:35:49.400
<v Speaker 2>is growing globally, averaging fourteen and a half million monthly

0:35:49.480 --> 0:35:51.640
<v Speaker 2>active users. Shares with the company are up thirty three

0:35:51.640 --> 0:35:54.000
<v Speaker 2>percent year to date. We spoke with the Grinder CEO,

0:35:54.120 --> 0:35:56.840
<v Speaker 2>George Arrison about the role AI is playing in that

0:35:56.920 --> 0:36:00.600
<v Speaker 2>growth and how they handle privacy in the age of AI.

0:36:02.000 --> 0:36:05.680
<v Speaker 13>Grinder privacies by farther paramount thing because we have users

0:36:05.680 --> 0:36:08.120
<v Speaker 13>in countries where it's illegal to be gay, or in

0:36:08.280 --> 0:36:10.800
<v Speaker 13>areas where while it might be legal, you still can't

0:36:11.560 --> 0:36:15.240
<v Speaker 13>really be yourself, and so protecting them is really really crucial.

0:36:16.719 --> 0:36:19.359
<v Speaker 13>We don't ask for a lot of information from users

0:36:19.360 --> 0:36:21.400
<v Speaker 13>when they join the app, we don't require a photo,

0:36:22.160 --> 0:36:24.680
<v Speaker 13>We don't try to be as minimal as we can

0:36:24.719 --> 0:36:28.520
<v Speaker 13>in that regard, again, because privacy is so important to users.

0:36:29.360 --> 0:36:33.080
<v Speaker 13>And from there, the other really critical thing for us

0:36:33.200 --> 0:36:35.719
<v Speaker 13>is to be able to keep all the data on Grinder,

0:36:36.200 --> 0:36:40.279
<v Speaker 13>So we work with Amazon's Bedrock service, which is a

0:36:40.320 --> 0:36:42.640
<v Speaker 13>virtual private space that allows us to actually keep everything

0:36:42.640 --> 0:36:45.200
<v Speaker 13>in our end. Our data does not kind of stay

0:36:45.280 --> 0:36:48.560
<v Speaker 13>with anybody else, and our data does not train anybody

0:36:48.560 --> 0:36:52.840
<v Speaker 13>else's models, and that's been really helpful obviously. And the

0:36:52.880 --> 0:36:55.160
<v Speaker 13>other thing we're now starting to do is actually take

0:36:55.360 --> 0:36:58.920
<v Speaker 13>open source models and put them into our system and

0:36:59.040 --> 0:37:00.640
<v Speaker 13>be able to train them to make them be a

0:37:00.640 --> 0:37:04.359
<v Speaker 13>little more gay. And that's also quite interesting because that's

0:37:04.440 --> 0:37:07.160
<v Speaker 13>kind of pushing us closer to the frontier of what's

0:37:07.160 --> 0:37:09.280
<v Speaker 13>happening in THEI. But no one else is doing anything

0:37:09.320 --> 0:37:11.440
<v Speaker 13>like that, and we think we can provide some really

0:37:11.520 --> 0:37:14.680
<v Speaker 13>useful insights for our users.

0:37:14.280 --> 0:37:18.560
<v Speaker 2>Through that grinder. CEO George Arrison. There, let's just talk

0:37:18.600 --> 0:37:21.600
<v Speaker 2>about New York State as well. It is begun asking

0:37:21.680 --> 0:37:26.200
<v Speaker 2>companies to disclose when artificial intelligence contributes to mass layoffs.

0:37:26.320 --> 0:37:29.520
<v Speaker 2>It's a symbolic move as officials look to possibly regulating AI.

0:37:29.760 --> 0:37:33.200
<v Speaker 2>The technology's impact on the workforce could have an uneven

0:37:33.239 --> 0:37:36.040
<v Speaker 2>effect between men and women should be roused with us.

0:37:36.280 --> 0:37:38.800
<v Speaker 2>She is the founderacy of up level. It's a platform

0:37:38.840 --> 0:37:43.360
<v Speaker 2>AI platform designed to accelerate women in the workplace. Shuby

0:37:43.440 --> 0:37:47.359
<v Speaker 2>is also an engineer, former tech executive. Yourself, Shuby, is

0:37:47.400 --> 0:37:50.640
<v Speaker 2>there going to be an unequal impact of generative AI's

0:37:50.760 --> 0:37:51.960
<v Speaker 2>use on the workforce?

0:37:52.000 --> 0:37:57.719
<v Speaker 14>Do you think, well, when you look at what is

0:37:57.760 --> 0:38:00.879
<v Speaker 14>happening in the world of AI and where the applications,

0:38:00.920 --> 0:38:05.680
<v Speaker 14>at least today are. It's about automating jobs that are

0:38:05.760 --> 0:38:08.640
<v Speaker 14>largely held by women. It just so happens that those

0:38:08.840 --> 0:38:12.160
<v Speaker 14>jobs tend to be more administrative in nature and are

0:38:12.239 --> 0:38:14.960
<v Speaker 14>perfect and right for automation, And so it will be

0:38:14.960 --> 0:38:19.160
<v Speaker 14>really interesting to see what the data shows, especially if

0:38:19.239 --> 0:38:22.440
<v Speaker 14>this does become legislation in New York. It is how

0:38:23.400 --> 0:38:28.840
<v Speaker 14>it impacts women and how disproportionately that impact then creates

0:38:29.440 --> 0:38:31.080
<v Speaker 14>further gender inequities.

0:38:31.760 --> 0:38:35.480
<v Speaker 2>How is your technology perhaps trying to play a counterforce here.

0:38:37.320 --> 0:38:39.960
<v Speaker 14>Yeah, you know, if you take a step back and

0:38:40.000 --> 0:38:44.319
<v Speaker 14>think about today how the models are being trained from

0:38:44.320 --> 0:38:48.560
<v Speaker 14>a generative AA perspective, Those large models, whether it's the

0:38:48.600 --> 0:38:52.600
<v Speaker 14>Opening models or is Gemini or Cloud, have been trained

0:38:52.640 --> 0:38:55.480
<v Speaker 14>largely from data of the Internet.

0:38:55.560 --> 0:38:58.600
<v Speaker 15>And when you look at what is the data on

0:38:58.640 --> 0:39:04.600
<v Speaker 15>the Internet, large spats of data of course are Wikipedia, Reddit, GitHub,

0:39:05.719 --> 0:39:10.200
<v Speaker 15>you know, popular pop gender data sets, which tend to

0:39:10.200 --> 0:39:13.399
<v Speaker 15>be highly male dominant. Then you look at the other

0:39:13.480 --> 0:39:18.640
<v Speaker 15>data sets, whether that's related to academic papers. You know,

0:39:19.080 --> 0:39:25.359
<v Speaker 15>publications are on business books and use cases healthcare where again,

0:39:25.440 --> 0:39:28.680
<v Speaker 15>you know, up until recently, women were not even included

0:39:28.719 --> 0:39:33.239
<v Speaker 15>in those clinical data sets. Really there's not a lot

0:39:33.320 --> 0:39:37.560
<v Speaker 15>around caregiving unpaid labor. Right, so when you look at

0:39:37.719 --> 0:39:43.680
<v Speaker 15>what that data set highly represents or over represents men

0:39:44.080 --> 0:39:47.000
<v Speaker 15>than it does women, so you can so so that

0:39:47.200 --> 0:39:49.760
<v Speaker 15>is the basis of the training data sets for majority

0:39:49.800 --> 0:39:50.720
<v Speaker 15>of the models today.

0:39:50.840 --> 0:39:53.319
<v Speaker 14>So the counter of course for Uplift, what we're trying

0:39:53.320 --> 0:39:56.840
<v Speaker 14>to do at up level is create the world's largest

0:39:57.000 --> 0:40:01.720
<v Speaker 14>gender data set so that this gender data set actually

0:40:01.800 --> 0:40:07.560
<v Speaker 14>represents women both contextually from an experienced perspective, understands women's

0:40:07.640 --> 0:40:15.000
<v Speaker 14>challenges around career, health, wealth, and more importantly, can be

0:40:15.160 --> 0:40:19.080
<v Speaker 14>that counter force whereby you know, in theory, someday we

0:40:19.200 --> 0:40:22.799
<v Speaker 14>could blend both those data sets, then then we'll have

0:40:22.960 --> 0:40:27.760
<v Speaker 14>that gender equality across the broader training sets.

0:40:28.200 --> 0:40:30.280
<v Speaker 2>Is really interesting. We you're hearing from the Grinder CEO

0:40:30.400 --> 0:40:32.920
<v Speaker 2>saying they're training their large language models to be more

0:40:32.960 --> 0:40:36.400
<v Speaker 2>gay from the perspective of maybe you start to counteract

0:40:36.400 --> 0:40:39.759
<v Speaker 2>the bias within the applications that come from the large

0:40:39.800 --> 0:40:43.600
<v Speaker 2>language models. But what about just unsaid biases about women

0:40:43.960 --> 0:40:47.280
<v Speaker 2>and actually adopting this technology. Are we being first movers,

0:40:47.360 --> 0:40:49.759
<v Speaker 2>are people being early adopters in the workforce, do you

0:40:49.800 --> 0:40:50.960
<v Speaker 2>think at the same level as men.

0:40:52.719 --> 0:40:56.080
<v Speaker 14>Yeah, you know, this is a disturbing number that you know,

0:40:56.400 --> 0:41:00.920
<v Speaker 14>I keep seeing where it feels like the gap was

0:41:00.920 --> 0:41:05.399
<v Speaker 14>maybe twenty percentage points between men adopting. And I'm talking

0:41:05.440 --> 0:41:08.319
<v Speaker 14>about generative AI, not just AI broadly, but just even

0:41:08.360 --> 0:41:12.600
<v Speaker 14>generative AI tools versus women. Part of that has to

0:41:12.640 --> 0:41:15.960
<v Speaker 14>do with, you know, if you look at broader adoption

0:41:16.200 --> 0:41:20.959
<v Speaker 14>of women in terms of big tech, yes, women might

0:41:21.040 --> 0:41:24.600
<v Speaker 14>be on those platforms, but are not merely as active

0:41:25.760 --> 0:41:30.000
<v Speaker 14>in terms of posting, sharing comments, reacting than men are.

0:41:30.440 --> 0:41:32.400
<v Speaker 14>And so that'd be and why is that?

0:41:32.880 --> 0:41:34.719
<v Speaker 16>Because you know, when you look at a lot of

0:41:34.719 --> 0:41:37.839
<v Speaker 16>these platforms and there is has been a mass exodus

0:41:37.760 --> 0:41:42.279
<v Speaker 16>of women, is because of the misogyny, the nursism, you know,

0:41:42.320 --> 0:41:43.600
<v Speaker 16>the sexualization, etc.

0:41:44.080 --> 0:41:48.000
<v Speaker 14>So there is this inherent issue that we have around

0:41:48.040 --> 0:41:52.439
<v Speaker 14>trusting tech and that's bleeding itself into also using these

0:41:52.480 --> 0:41:54.759
<v Speaker 14>generative AI tools. So a big part of that is

0:41:54.800 --> 0:42:00.000
<v Speaker 14>just can I trust this or if I use this tool,

0:42:00.719 --> 0:42:02.120
<v Speaker 14>then can I actually.

0:42:01.719 --> 0:42:02.880
<v Speaker 9>Say this is my work?

0:42:03.040 --> 0:42:03.200
<v Speaker 7>You know?

0:42:03.920 --> 0:42:07.640
<v Speaker 14>So there is that bigger issue. So there have been

0:42:07.640 --> 0:42:09.840
<v Speaker 14>impediments to adoption for women.

0:42:09.760 --> 0:42:11.840
<v Speaker 2>In thirty seconds should be is it getting better.

0:42:13.640 --> 0:42:17.560
<v Speaker 14>No, it's not getting better, it's actually widening. So or

0:42:17.640 --> 0:42:20.160
<v Speaker 14>is it differently, Maybe women are still at the same

0:42:20.400 --> 0:42:23.480
<v Speaker 14>rate of adoption and men are adopting it faster.

0:42:24.120 --> 0:42:27.200
<v Speaker 2>More work to do, more reason to see up Level

0:42:27.320 --> 0:42:30.080
<v Speaker 2>going in there and building these connections with big companies

0:42:30.120 --> 0:42:32.440
<v Speaker 2>should be raw. So good to have you, the up

0:42:32.520 --> 0:42:35.279
<v Speaker 2>Level founder and see how we appreciate it and that

0:42:35.320 --> 0:42:37.279
<v Speaker 2>does it. From this edition in Bloomberg Tech, do not

0:42:37.400 --> 0:42:39.160
<v Speaker 2>forget to check out our podcast. You can find it

0:42:39.200 --> 0:42:41.719
<v Speaker 2>on the terminal as well as online on Apple, Spotify,

0:42:42.000 --> 0:42:45.080
<v Speaker 2>and iHeart. From New York. This is Bloomberg Tech.