WEBVTT - SpaceX Wavers Near $2T Market Cap After 3-Day Rout

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

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<v Speaker 1>from the heart of Silicon Valley with ed La though

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<v Speaker 1>in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>SpaceX Shares feeling gravitational pool as must company launches its

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<v Speaker 3>debut bond sale plus tech stock sell off worldwide as

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<v Speaker 3>Wall Street gets.

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<v Speaker 2>An AI wake up call? Is the AI.

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<v Speaker 3>Boom sustainable and we go big on private markets? Mellow

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<v Speaker 3>Ventures raises its biggest ever haul with three billion.

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<v Speaker 2>Dollars to BACAI startups.

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<v Speaker 3>Partner Vinkie Ganisan joins us on set in San Francisco.

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<v Speaker 3>The headline on the Bloomberg is that Wall Street gets

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<v Speaker 3>an AI wake up call, but there has been a

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<v Speaker 3>global sell off in technology shares. It started Monday in

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<v Speaker 3>the US, but in career overnight is where it was

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<v Speaker 3>felt most. The cost be the best performing index in

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<v Speaker 3>the world so far this year, dropping ten percent from

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<v Speaker 3>a record high.

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<v Speaker 2>It is Samsung.

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<v Speaker 3>It is sk Heinix, which led questions about the sustainability

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<v Speaker 3>of the AI trade. Let's go over to the US

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<v Speaker 3>session where actually we're off session lows, but there is

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<v Speaker 3>still severe selling. The socks is down seven percent, then

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<v Speaker 3>as that one hundred is down two point six percent.

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<v Speaker 3>All of this about sustainability, durability of what's happening in

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<v Speaker 3>AI our top story SpaceX shares.

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<v Speaker 2>The stock actually briefly.

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<v Speaker 3>Dip below one hundred and fifty dollars, which was its

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<v Speaker 3>trading debut price from June twelve. We're getting new details

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<v Speaker 3>on the company's first ever bond offering, a five part

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<v Speaker 3>investment grade deal expected to raise at least twenty billion

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<v Speaker 3>dollars and rank among the biggest debt sales of the year.

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<v Speaker 3>The sale would primarily refinance debt while also giving investors

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<v Speaker 3>a fresh look that how Elon Musk companies are funding

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<v Speaker 3>growth across AI, satellites and space. Joining us now the

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<v Speaker 3>team Bloomberg Senior Markets at Call of Bay, Lipshow and

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<v Speaker 3>Emily Graffeo on the corporate credit side, and let's start

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<v Speaker 3>with you. What do we need to know about this

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<v Speaker 3>that sale, the structure of it, the terms.

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<v Speaker 4>Well, look, we need to know that this deal is

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<v Speaker 4>probably going to be one of the biggest investment grade

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<v Speaker 4>bond seals of the year, and it already got thirty

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<v Speaker 4>billion dollars of demand even before the deal was announced.

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<v Speaker 4>It's pricing later today. Bankers are taking orders from investors

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<v Speaker 4>right now. We do expect the deal to go pretty well.

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<v Speaker 4>So even though the stock is down today, ed this

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<v Speaker 4>bond sale expected to be successful, and it's getting an

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<v Speaker 4>investment grade rating, despite the fact that SpaceX is saying

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<v Speaker 4>it's going to be blowing through cash here. Really what

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<v Speaker 4>the ratings analysts are focusing on is the fact that

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<v Speaker 4>they have recurring revenue from their starlink business, they have

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<v Speaker 4>a dominant launch provider central to the US space program,

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<v Speaker 4>and of course they have access to enough liquidity to

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<v Speaker 4>keep funding that AI expansion. So it's a unique investment

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<v Speaker 4>grade rating here, but one that at least for right now,

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<v Speaker 4>investors are putting their confidence.

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<v Speaker 3>Behind Bailey and yesterday's program. Credit analyst Robert Schiffman said,

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<v Speaker 3>equity investors trade on hope looking at the stock now

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<v Speaker 3>at almost three percent in the session, but briefly in

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<v Speaker 3>negative territory. We're all talking about it hitting its trading

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<v Speaker 3>debut price. What's going on in this post IPO trade, and.

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<v Speaker 5>We're just still seeing supply and demand trying to be matched.

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<v Speaker 5>Obviously at the euphoria of listing day. Retail traders continuing

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<v Speaker 5>to plow through the stock last week as we saw

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<v Speaker 5>it hit a bit of an airpok, and we see

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<v Speaker 5>the volatility today, we still have to remember that we're

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<v Speaker 5>only looking at about five percent of the float available

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<v Speaker 5>for trading, so we're still well ahead of the lockup

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<v Speaker 5>whin insiders and long term investors and long term employees

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<v Speaker 5>are able to be selling the stock. So the big

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<v Speaker 5>question now going forward is what is the catalyst to

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<v Speaker 5>keep buying. As you mentioned, we saw some volatility on

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<v Speaker 5>an inter day basis, that's kind of par for the course.

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<v Speaker 5>And if we look back a few months to Sarah bros.

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<v Speaker 5>A really strong debut, a lot of chop, and then

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<v Speaker 5>kind of settling out in the few months ahead of

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<v Speaker 5>their first earnings report as a public company. So when

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<v Speaker 5>you're just looking at this again, it's kind of typical

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<v Speaker 5>playbook that we've seen with a lot of these high profile,

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<v Speaker 5>highly anticipated IPOs.

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<v Speaker 3>I would say that maybe one catalyst is they did

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<v Speaker 3>this demo, the Starfull mission, where they had this reusable

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<v Speaker 3>capsule in space. The idea is it was a demo

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<v Speaker 3>for in space manufacturing. Maybe not, We'll get into that

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<v Speaker 3>later on. And what I want to understand with this

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<v Speaker 3>is the significance of the investment grade rating that SpaceX got,

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<v Speaker 3>because the difference between SpaceX and some of its peers

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<v Speaker 3>in that domain is this is a company that's going

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<v Speaker 3>to be burning cash and with negative free cash.

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<v Speaker 2>Flow for a really long time. How does that work? Yeah,

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<v Speaker 2>that's exactly right.

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<v Speaker 4>They've really been treated differently here with the investment grade rating.

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<v Speaker 4>They're not like these other companies that are coming to

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<v Speaker 4>the investment grade bond market typically expect like a utility company.

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<v Speaker 4>So this has been, at least according to our reporting

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<v Speaker 4>what ratings analysts have said, a difficult credit to rate.

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<v Speaker 4>But again it goes back to that recurring revenue that

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<v Speaker 4>they have from other parts of their business. And this

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<v Speaker 4>idea here that this is investors taking a leap of

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<v Speaker 4>faith edge just like the equity investors did. The credit

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<v Speaker 4>sale is also kind of requiring that leap of faith,

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<v Speaker 4>people putting their trust behind Elon Musk. That narrative spreading

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<v Speaker 4>from the IPO into this inaugural bond sale as well.

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<v Speaker 3>Bailey, We're still talking about the mechanics of capital markets

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<v Speaker 3>as opposed to what SpaceX actually does. But this is

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<v Speaker 3>like an immediate post IPO period. You just explain that.

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<v Speaker 3>I think we should therefore talk a bit about the

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<v Speaker 3>green shoe. So they actually raised more money all told

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<v Speaker 3>than we initially reported, right, And the reason I bring

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<v Speaker 3>that up is because when they launched the bond sale,

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<v Speaker 3>they said that as of June nineteenth, SpaceX had more

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<v Speaker 3>than one hundred billion dollars of cash.

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<v Speaker 2>Explain that bit.

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<v Speaker 5>Yeah, so with the green shoe, that enables bankers to

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<v Speaker 5>sell more shares about fifteen percent relative to the total float.

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<v Speaker 2>So all told, bringing in north.

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<v Speaker 5>Of eighty five billion dollars does help bolster the company's

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<v Speaker 5>balance sheet.

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<v Speaker 2>But we really were in ed.

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<v Speaker 5>We were breaking some news around this, expecting the company

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<v Speaker 5>to tap the debt mark, expecting the company to refinance

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<v Speaker 5>some of its loans that had already had on its

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<v Speaker 5>balance sheet. So this was also well foretold when you're

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<v Speaker 5>talking to some of the investors as they were meeting

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<v Speaker 5>with the company in that road show. The big question

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<v Speaker 5>going forward, we do have the inclusion in the Nasdaq

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<v Speaker 5>one hundred early next month. We also will be expecting

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<v Speaker 5>analyst initiation reports on the other side of the fourth

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<v Speaker 5>of July holiday here in the US, so that'll be

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<v Speaker 5>something where we can start to see the likes of

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<v Speaker 5>Morgan Stanley and Goldmen Sachs, the two banks that under

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<v Speaker 5>wrote the IPO, what their analysts are saying. We're going

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<v Speaker 5>to see some pretty high numbers as it relates to

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<v Speaker 5>what the total addressable market of space could be. But

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<v Speaker 5>broadly speaking, we still are in this area where we're

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<v Speaker 5>waiting for fundamental news. And the thing that's going to

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<v Speaker 5>be interesting is SpaceX. As we saw with the partnership

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<v Speaker 5>with Reflection, AI going to lean on its ability to

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<v Speaker 5>maybe be a little bit of a hyperscaler or supply

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<v Speaker 5>some of that compute, or is it going to be

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<v Speaker 5>a narrative that really does shift to space starshipping the

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<v Speaker 5>other things that the company wants to do as it

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<v Speaker 5>relates to getting data centers orbiting the Earth.

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<v Speaker 3>I suspect those banks will be bullish. Bloomberg's Bailey lip

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<v Speaker 3>Schultz and Emily Graffee thank you both very much. Tech

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<v Speaker 3>stoks are under pressure after Korean chipmakers sell off spark

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<v Speaker 3>fears of AI sustainability. Despite SpaceX's breakout IPO giving the

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<v Speaker 3>trade momentum in recent days, investors worry that the I

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<v Speaker 3>boom may not be as durable as previously thought Martin Norton,

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<v Speaker 3>chief investment strategist An Mpaw of black on Bloomberg Tech.

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<v Speaker 3>I don't want to put words in your mouth, but

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<v Speaker 3>SpaceX is off to a good start and we got volatility,

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<v Speaker 3>and I think all of those things we'd expected.

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<v Speaker 6>Yes, I think that's absolutely the case. So of course

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<v Speaker 6>there was some trepedition heading into the SpaceX IPO. We

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<v Speaker 6>know those things can be volatile, but early days was

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<v Speaker 6>a good start. We have some volatility today. I think

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<v Speaker 6>we should anticipate continued volatility. There are those index inclusions,

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<v Speaker 6>there's the lackups expiring, so there are some things that

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<v Speaker 6>we need to keep an eye on as it pertains

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<v Speaker 6>to volatility there. I think volatility for the broader AI

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<v Speaker 6>trade too. We know there's been a lot of helium,

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<v Speaker 6>particularly on the chip side of things, and that creates

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<v Speaker 6>its own type of price bubble. I don't think it

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<v Speaker 6>necessarily suggests that AI isn't durable, but it certainly creates

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<v Speaker 6>volatility in markets.

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<v Speaker 3>The headline was Wall Streep getting a wake up call

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<v Speaker 3>in the AI trade. Is it specifically the AI parts

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<v Speaker 3>of the market that are vulnerable or is there just

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<v Speaker 3>sort of some inaggregate concern about equity markets from evaluation

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<v Speaker 3>perspective or from where we're trading right now.

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<v Speaker 6>I think the risk is coming from a few different places.

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<v Speaker 6>I do think it's predominantly around AI and the things

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<v Speaker 6>that have led us out of the concern around the

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<v Speaker 6>war so since April first, that has been the chip area,

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<v Speaker 6>memory and semi. So I do think concerns around what

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<v Speaker 6>we're going to see in earnings Micron reporting, whether that

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<v Speaker 6>gross margin expansion is still possible, I think that is

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<v Speaker 6>a question mark on investment minds. I also think there

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<v Speaker 6>is some I guess marginal concern around what rates mean

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<v Speaker 6>for equities. I don't look at the broad US equity

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<v Speaker 6>market though, is all that stretched. And I also think

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<v Speaker 6>there is some durability to earning. So I'm not sure

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<v Speaker 6>it's a predominant issue, but it's certainly something that's kind

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<v Speaker 6>of picking away at the sides of things.

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<v Speaker 3>I just if we could go back to what happened

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<v Speaker 3>in career overnight, I think it's just a very interesting

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<v Speaker 3>case study. So the cost fee, which I think been

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<v Speaker 3>the best performing index or benchmark so far this year,

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<v Speaker 3>basically entered a correction from a record high the night prior,

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<v Speaker 3>but it was Samsung and Skhinex that kind of led

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<v Speaker 3>those to clients. Is a strategist looking across asset and

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<v Speaker 3>looking at US equity markets. What's your interpretation of what

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<v Speaker 3>happened there?

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<v Speaker 6>Well, I guess my perspective is that to your point,

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<v Speaker 6>this is the best performing market that we've seen year

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<v Speaker 6>to date. There is an enormous amount of hardware AI

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<v Speaker 6>exposure in that market. There's been enormous amounts enthusiasm over

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<v Speaker 6>the supply constraints and just kind of the you know,

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<v Speaker 6>this is a different type of cycle than we typically

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<v Speaker 6>see in that part of the market, and I think

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<v Speaker 6>investors have just been pulled in and caught up in

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<v Speaker 6>the enthusiasm. And I think there's room and rationale to

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<v Speaker 6>expect continued moments of doubt like this when you have

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<v Speaker 6>prices rising triple digits.

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<v Speaker 3>Our top story is probably the SpaceX bond sale of

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<v Speaker 3>five part offering. We expect a price today. We talked

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<v Speaker 3>a lot in the last twenty four hours on the

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<v Speaker 3>show about how there is a difference between the psychology

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<v Speaker 3>and also methodology of an equity investor and the credit investor,

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<v Speaker 3>But is there something that links those two. What we

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<v Speaker 3>learn about SpaceX is business through its ability to tap

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<v Speaker 3>debt markets that might weigh on the equity as a consequence.

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<v Speaker 6>I do think there's a connection in this particular instance. Now,

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<v Speaker 6>I absolutely agree with that view that credit investors are

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<v Speaker 6>different than stock investors. There's a little bit more side awareness,

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<v Speaker 6>a little bit more protection on the fixed income side

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<v Speaker 6>than on the equity side. And yet when we're looking

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<v Speaker 6>at something like SpaceX with so much of its value

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<v Speaker 6>future loaded, I guess I would say it does seem,

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<v Speaker 6>given the enthusiasm that we're seeing around that issuance, that

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<v Speaker 6>bond investors are taking a bit of a queue from

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<v Speaker 6>equity investors and embedding a bit of hope in their

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<v Speaker 6>expectations for how SpaceX might perform on the debt side.

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<v Speaker 6>And of course, I think a broader point is just

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<v Speaker 6>how much money this is going to take to realize

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<v Speaker 6>some of the Elon Musk ambitions when it comes to SpaceX.

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<v Speaker 3>Empowers Martin Norton a market's perspective, but you always roll

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<v Speaker 3>with the biggest technology stories of the day, thank you

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<v Speaker 3>very much. Indeed, now coming up, we're going to speak

0:11:43.800 --> 0:11:47.440
<v Speaker 3>with seman CEO Roland Bush on bringing AI from a

0:11:47.480 --> 0:11:51.480
<v Speaker 3>digital world into the physical conversation, really looking forward to

0:11:52.040 --> 0:12:08.960
<v Speaker 3>that's next. This is Bloomberg Tech. AI is moving beyond

0:12:09.040 --> 0:12:13.200
<v Speaker 3>chatbots and onto the factory floor, helping manufacturers boost productivity,

0:12:13.520 --> 0:12:16.480
<v Speaker 3>with industrial AI becoming a bigger part of the conversation.

0:12:16.600 --> 0:12:19.760
<v Speaker 3>Joining us now is Semens CEO Roland Bush, who recently

0:12:19.840 --> 0:12:23.199
<v Speaker 3>met with European Commissioned President Ursula Vonderleon and other tech

0:12:23.280 --> 0:12:26.599
<v Speaker 3>leaders to discuss AI's role in Europe's industrial future. But

0:12:26.640 --> 0:12:29.480
<v Speaker 3>I would note as well, Roland, you were the first

0:12:29.480 --> 0:12:32.520
<v Speaker 3>conversation I had this year. We started twenty twenty six

0:12:32.559 --> 0:12:36.560
<v Speaker 3>with Jensen Wang talking about the transition into the physical world.

0:12:37.000 --> 0:12:41.760
<v Speaker 3>Just very simply to start. Why Semens is bedding so

0:12:41.960 --> 0:12:43.840
<v Speaker 3>much on industrial AI.

0:12:45.600 --> 0:12:50.680
<v Speaker 7>Actually big aus Semens is really geared for this moment

0:12:50.920 --> 0:12:54.199
<v Speaker 7>to bring AI into the real world.

0:12:54.240 --> 0:12:58.040
<v Speaker 8>We call industrial I. Why you need a couple of things.

0:12:58.160 --> 0:13:00.720
<v Speaker 7>Number one is you need to technology stack, and the

0:13:00.720 --> 0:13:02.600
<v Speaker 7>stack includes hardware and software.

0:13:02.640 --> 0:13:03.800
<v Speaker 8>Both is super relevant.

0:13:04.320 --> 0:13:06.800
<v Speaker 7>Number two is domain no how we know how to

0:13:06.840 --> 0:13:08.439
<v Speaker 7>build things we are on the shop floor.

0:13:08.920 --> 0:13:10.080
<v Speaker 8>The next one is data.

0:13:10.320 --> 0:13:12.839
<v Speaker 7>We have a lot of data, our own data, data

0:13:12.920 --> 0:13:16.480
<v Speaker 7>shared with our customers and partners, and we have the

0:13:16.559 --> 0:13:20.360
<v Speaker 7>trust of our customers because when the AI hits the

0:13:20.360 --> 0:13:24.240
<v Speaker 7>real world, hallucination is not an option, so you need

0:13:24.480 --> 0:13:25.480
<v Speaker 7>hardcore results.

0:13:25.520 --> 0:13:26.200
<v Speaker 8>They should work.

0:13:26.520 --> 0:13:28.720
<v Speaker 7>So we have all this and we can bring it

0:13:28.760 --> 0:13:30.760
<v Speaker 7>now to the real world and lustban released. We have

0:13:30.840 --> 0:13:33.760
<v Speaker 7>great partners like in media, like some others who are

0:13:34.240 --> 0:13:38.120
<v Speaker 7>with us in making this transformation for our customers.

0:13:38.840 --> 0:13:41.400
<v Speaker 3>I asked you at CES in January, give me a

0:13:41.440 --> 0:13:45.280
<v Speaker 3>case study, an example. There's some evidence of AI in

0:13:45.320 --> 0:13:48.559
<v Speaker 3>a factory anywhere in the world. Fast forward to June.

0:13:49.040 --> 0:13:51.880
<v Speaker 3>Is it real now? Is there to please? You can

0:13:51.920 --> 0:13:54.000
<v Speaker 3>point to please, it's really.

0:13:53.880 --> 0:13:57.280
<v Speaker 7>Now, and we can talk about the design face, the

0:13:57.320 --> 0:14:00.520
<v Speaker 7>manufacturing face, and the operation phase when you're asset sign

0:14:00.559 --> 0:14:03.599
<v Speaker 7>the field. But you talked about an example on the

0:14:04.000 --> 0:14:09.040
<v Speaker 7>shop floor. Actually, we now launched our King Engineering Agent.

0:14:09.160 --> 0:14:09.960
<v Speaker 8>What is it.

0:14:09.960 --> 0:14:14.480
<v Speaker 7>It is an agent which programs an industrial PC for you.

0:14:14.760 --> 0:14:17.160
<v Speaker 7>So if you have a cutting chop on the shop

0:14:17.160 --> 0:14:20.960
<v Speaker 7>floor and the cutting is not precise anymore, now an

0:14:20.960 --> 0:14:24.080
<v Speaker 7>engineer has to go there reprogram your PLC and so on.

0:14:24.400 --> 0:14:27.680
<v Speaker 7>Iing Engineering agent does it for you. You say, I

0:14:27.720 --> 0:14:33.080
<v Speaker 7>mean my cutting machine is not not working precisely. I

0:14:33.280 --> 0:14:36.960
<v Speaker 7>Engineering Agent analyzes the problem, breaks the problem down looks

0:14:36.960 --> 0:14:40.200
<v Speaker 7>for all the data. The machines the job which has

0:14:40.240 --> 0:14:45.760
<v Speaker 7>to be done, analyzes it, develops a code, runs it,

0:14:46.080 --> 0:14:49.320
<v Speaker 7>compiles it. If it doesn't work, it compiles it over again,

0:14:49.400 --> 0:14:52.240
<v Speaker 7>fixes it until you can say now go and you

0:14:52.320 --> 0:14:56.000
<v Speaker 7>push a bottom and then PLC is running with the

0:14:56.040 --> 0:14:59.280
<v Speaker 7>same precition as before. So we are brought king about

0:14:59.280 --> 0:15:04.720
<v Speaker 7>fifty percent high productivity while the quality of your programming

0:15:04.800 --> 0:15:06.080
<v Speaker 7>is increasing by eighty percent.

0:15:06.400 --> 0:15:07.600
<v Speaker 8>So this is real fact.

0:15:07.600 --> 0:15:10.680
<v Speaker 7>And now we're introduced using another function where electrical design

0:15:10.800 --> 0:15:14.360
<v Speaker 7>comes also into this into the place. Well, there's a real,

0:15:14.600 --> 0:15:18.720
<v Speaker 7>a real and this this what's not available in the market.

0:15:19.040 --> 0:15:21.600
<v Speaker 7>So far we broughder to the market and ready to

0:15:21.640 --> 0:15:23.119
<v Speaker 7>expand to other use cases.

0:15:22.880 --> 0:15:27.240
<v Speaker 3>To either by geography or bi sector. Is there a

0:15:27.360 --> 0:15:31.240
<v Speaker 3>market where there's just more speed here? You know, we

0:15:31.560 --> 0:15:36.000
<v Speaker 3>reflected on your meeting with European Commission. Notoriously red tape

0:15:36.040 --> 0:15:38.000
<v Speaker 3>can get in the way. What are you seeing in

0:15:38.280 --> 0:15:39.640
<v Speaker 3>different markets around the world.

0:15:40.520 --> 0:15:43.240
<v Speaker 7>I mean the hardest market as we can imagine currently

0:15:43.320 --> 0:15:45.440
<v Speaker 7>is AI factories and data centers.

0:15:45.480 --> 0:15:47.360
<v Speaker 8>And here we are really in the design pase together.

0:15:47.400 --> 0:15:47.920
<v Speaker 8>It's in DDIA.

0:15:48.080 --> 0:15:51.600
<v Speaker 7>We create a blueprint, a white paper for how an

0:15:51.640 --> 0:15:53.520
<v Speaker 7>a high factor in the future looks like and guess

0:15:53.560 --> 0:15:58.080
<v Speaker 7>what it's based on a digital twin. And this digital

0:15:58.120 --> 0:16:01.240
<v Speaker 7>twin is optimized with AI obviously, But if you talk

0:16:01.280 --> 0:16:04.960
<v Speaker 7>about other markets, for example, the fast growing markets which

0:16:05.640 --> 0:16:09.640
<v Speaker 7>really need productivity and speed, semiconductors, a lot of investment

0:16:09.720 --> 0:16:14.200
<v Speaker 7>going there, a lot of VAMS built, pharmaceutical there's a

0:16:14.200 --> 0:16:16.760
<v Speaker 7>lot of investment also going to the United States, and

0:16:16.920 --> 0:16:18.040
<v Speaker 7>aerospace and defense.

0:16:18.240 --> 0:16:19.840
<v Speaker 8>We are ramping up our.

0:16:19.680 --> 0:16:23.720
<v Speaker 7>Capabilities to produce stuff. So there are a lot of sectors.

0:16:23.880 --> 0:16:25.680
<v Speaker 7>And then last part of lease, I mean the car

0:16:25.680 --> 0:16:28.600
<v Speaker 7>industry is also under pressure. They need to evolve faster,

0:16:29.040 --> 0:16:32.360
<v Speaker 7>having faster cycles, being more flexible in their production. So

0:16:32.480 --> 0:16:34.520
<v Speaker 7>I can go on and on, and the topic is

0:16:34.560 --> 0:16:37.160
<v Speaker 7>always the same. You will be faster in your design

0:16:37.200 --> 0:16:42.320
<v Speaker 7>process using ANIE, coming from simulation which verifies to simulation

0:16:42.400 --> 0:16:46.200
<v Speaker 7>which creates new designs, and all the way in the factory,

0:16:46.360 --> 0:16:48.760
<v Speaker 7>way down to the point that you were deploying more

0:16:48.800 --> 0:16:51.960
<v Speaker 7>and more robots, and guess what robots are also AI

0:16:52.120 --> 0:16:54.160
<v Speaker 7>based automation devices.

0:16:55.120 --> 0:16:58.360
<v Speaker 3>Siemens has an almost one hundred and eighty year history

0:16:59.080 --> 0:17:02.720
<v Speaker 3>as an industrial company, an engineering company. You know the

0:17:02.800 --> 0:17:04.840
<v Speaker 3>sense I've had from you Roland in the times we've

0:17:04.840 --> 0:17:07.879
<v Speaker 3>spoken over the last twelve months and more is you

0:17:08.000 --> 0:17:13.200
<v Speaker 3>are positioning Semens as a technology company. How will your investments,

0:17:14.080 --> 0:17:17.120
<v Speaker 3>your attitude towards M and A reflect that. And when

0:17:17.119 --> 0:17:20.639
<v Speaker 3>you think about the market of today, the volatility we

0:17:20.680 --> 0:17:23.840
<v Speaker 3>see in the technology sector, do you think that Semens

0:17:23.880 --> 0:17:26.560
<v Speaker 3>is being treated and valued as a technology company.

0:17:27.440 --> 0:17:30.920
<v Speaker 7>Well, the short answer to the last point not yet

0:17:30.960 --> 0:17:33.040
<v Speaker 7>fun We are working working on it.

0:17:33.240 --> 0:17:34.119
<v Speaker 8>But the ons the point.

0:17:34.680 --> 0:17:37.280
<v Speaker 7>Over the last some fifteen years or so, we invested

0:17:37.520 --> 0:17:39.800
<v Speaker 7>thirty billion dollars in building.

0:17:39.560 --> 0:17:40.840
<v Speaker 8>Up our software suite.

0:17:40.920 --> 0:17:45.119
<v Speaker 7>It's the most comprehensive digital twin can be built with

0:17:45.320 --> 0:17:50.320
<v Speaker 7>Semen's technology, and it's a physics based digital twin with

0:17:50.600 --> 0:17:54.120
<v Speaker 7>a four year realistic representation using in media technologies for example.

0:17:54.240 --> 0:17:55.639
<v Speaker 8>So and that's unique.

0:17:56.200 --> 0:17:58.679
<v Speaker 7>All in all, the nine point four billion in twenty

0:17:58.720 --> 0:18:02.280
<v Speaker 7>twenty five, nine point five four billion euros in digital

0:18:02.400 --> 0:18:05.120
<v Speaker 7>revenue including software, we are going to double it.

0:18:05.200 --> 0:18:06.240
<v Speaker 8>Until twenty thirty.

0:18:06.600 --> 0:18:09.479
<v Speaker 7>So and this is a fast growing, high margin business

0:18:10.160 --> 0:18:13.640
<v Speaker 7>and it's now even super charged with AI. We rewrite

0:18:13.680 --> 0:18:16.760
<v Speaker 7>our software so it can be used by engineers and agents,

0:18:17.160 --> 0:18:19.440
<v Speaker 7>so that means you can see higher growth rates because

0:18:19.480 --> 0:18:20.840
<v Speaker 7>you can democratize it.

0:18:21.359 --> 0:18:22.600
<v Speaker 8>The accelerating simulation.

0:18:23.000 --> 0:18:26.800
<v Speaker 7>And again we are supercharging our operation software on the

0:18:26.840 --> 0:18:30.240
<v Speaker 7>shop floor. We say AI technology, so yes, and we

0:18:30.280 --> 0:18:32.680
<v Speaker 7>have that advantage again to combine the really needed world

0:18:32.880 --> 0:18:35.719
<v Speaker 7>you need both hardware is more important than ever. I

0:18:35.720 --> 0:18:39.359
<v Speaker 7>think about the data centers built, think about how robotics

0:18:39.359 --> 0:18:42.280
<v Speaker 7>school is through the market to the shop floor. So

0:18:42.320 --> 0:18:46.080
<v Speaker 7>therefore this combination is unique and we keep on going investing.

0:18:46.160 --> 0:18:48.960
<v Speaker 7>It's a transformation. You mentioned it almost surday the years

0:18:49.040 --> 0:18:52.480
<v Speaker 7>then the fastest transformation or history, and we are on

0:18:52.520 --> 0:18:57.040
<v Speaker 7>the right track. But it requires again it's super fast adoption,

0:18:57.240 --> 0:18:59.360
<v Speaker 7>but also of our customers, which we are supporting.

0:19:00.520 --> 0:19:03.320
<v Speaker 3>Fresh from one of Europe's biggest keynotes, Fresh from meeting

0:19:03.359 --> 0:19:06.680
<v Speaker 3>with Europe's most important leaders, Roland birsch Semen CEO, back

0:19:06.720 --> 0:19:09.679
<v Speaker 3>on Bloomberg Tech, thank you very much. Indeed, now coming up,

0:19:09.800 --> 0:19:13.520
<v Speaker 3>Qualcom is in advanced talks to acquire Modula. More on

0:19:13.560 --> 0:19:18.119
<v Speaker 3>this multi billion dollar buying spree and AI software the conversations.

0:19:18.119 --> 0:19:19.240
<v Speaker 2>Next, this is Bloomberg Tech.

0:19:26.560 --> 0:19:30.040
<v Speaker 9>It's time now for talking tech. I'm youhirah Anand first up,

0:19:30.080 --> 0:19:33.560
<v Speaker 9>the ongoing debate over AI replacing human workers just got

0:19:33.560 --> 0:19:37.119
<v Speaker 9>a reality check. Oracle's latest annual filing disclosed that it

0:19:37.280 --> 0:19:40.280
<v Speaker 9>slashed twenty one thousand jobs over the past year, with

0:19:40.600 --> 0:19:44.560
<v Speaker 9>AI deployment across operations driving some of those cuts.

0:19:44.600 --> 0:19:45.560
<v Speaker 2>This is Oracle is.

0:19:45.640 --> 0:19:49.480
<v Speaker 9>Under financial pressure due to an expensive AI data center

0:19:49.560 --> 0:19:54.119
<v Speaker 9>build out, plus soft Thanks Masayoshi's son is choosing Earth

0:19:54.440 --> 0:19:58.280
<v Speaker 9>over Space. Son publicly dismissed Elon Musk's grand vision for

0:19:58.440 --> 0:20:03.280
<v Speaker 9>orbital data centers, calling the math behind them a losing vet. Instead,

0:20:03.359 --> 0:20:06.680
<v Speaker 9>he says software will focus on building formidable data center

0:20:06.760 --> 0:20:11.120
<v Speaker 9>capacity here on Earth, and ten Cents is scaling back

0:20:11.160 --> 0:20:14.960
<v Speaker 9>its global gaming empire. The Chinese tech Titan is in

0:20:15.040 --> 0:20:19.520
<v Speaker 9>negotiations to unwind its massive post pandemic buying spree by

0:20:19.560 --> 0:20:25.320
<v Speaker 9>offloading minority stakes in multiple international gaming studios like Japan's Marvelous,

0:20:25.359 --> 0:20:28.040
<v Speaker 9>all to free up capital for in another. Then the

0:20:28.080 --> 0:20:29.640
<v Speaker 9>global AI race ed.

0:20:30.440 --> 0:20:31.720
<v Speaker 2>Thank you very much to hiring now.

0:20:31.800 --> 0:20:34.679
<v Speaker 3>Qualcom is making a multi billion dollar play to season

0:20:34.760 --> 0:20:37.800
<v Speaker 3>technology and talent at the cutting edge of AI, sources

0:20:37.800 --> 0:20:41.280
<v Speaker 3>tell Bloomberg. The companies in advanced talks to acquire software

0:20:41.280 --> 0:20:45.040
<v Speaker 3>company Modula for about four billion dollars. Bombos wrangle broke

0:20:45.080 --> 0:20:47.040
<v Speaker 3>the story with the team and joins us. Let's start

0:20:47.040 --> 0:20:48.600
<v Speaker 3>with the basics. What do we know about the deal?

0:20:48.920 --> 0:20:51.159
<v Speaker 10>Yeah, so they're in advanced talks to acquire a Modular

0:20:51.200 --> 0:20:53.520
<v Speaker 10>for about four billion dollars. It looks like that deal

0:20:53.560 --> 0:20:55.800
<v Speaker 10>could be announced as soon as the coming weeks. I

0:20:55.800 --> 0:20:59.159
<v Speaker 10>think this is part very much of this wider AI

0:20:59.440 --> 0:21:04.120
<v Speaker 10>race four race in AI for inference technology. Basically, that's

0:21:04.160 --> 0:21:06.280
<v Speaker 10>the process where you go from training models to actually

0:21:06.280 --> 0:21:09.200
<v Speaker 10>putting them into production. And we've seen i think probably

0:21:09.240 --> 0:21:13.520
<v Speaker 10>bookended by both the Grock video licensing deal that announts

0:21:13.560 --> 0:21:16.160
<v Speaker 10>just before Christmas. We all remember that on Christmas Eve,

0:21:16.760 --> 0:21:19.359
<v Speaker 10>and maybe also the Sam Bernova deal with Intel and

0:21:19.720 --> 0:21:22.919
<v Speaker 10>Vista Equity Partners, the private equity firm. This is just

0:21:23.000 --> 0:21:25.360
<v Speaker 10>really an arms race right now to see how quickly

0:21:25.400 --> 0:21:28.160
<v Speaker 10>we can start to some of these inference costs for enterprise.

0:21:29.240 --> 0:21:31.040
<v Speaker 10>What do we know about Modular in terms of like

0:21:31.080 --> 0:21:33.840
<v Speaker 10>who's already on the cat table where they've been valued

0:21:33.880 --> 0:21:36.680
<v Speaker 10>in their own private market activity. Yeah, I mean there's

0:21:37.280 --> 0:21:40.040
<v Speaker 10>quite a few famous VC firms in there, really only

0:21:40.119 --> 0:21:42.919
<v Speaker 10>Google Ventures, General Catalysts. General Catalyst is in there for

0:21:43.040 --> 0:21:45.639
<v Speaker 10>quite a significant chunk of the money. They were valued

0:21:45.680 --> 0:21:49.679
<v Speaker 10>at just over a billion dollars last September, I believe,

0:21:50.320 --> 0:21:52.480
<v Speaker 10>so this would kind of be a fairly quick turnaround

0:21:52.560 --> 0:21:55.400
<v Speaker 10>for those guys involved there. And I think this kind

0:21:55.400 --> 0:21:57.399
<v Speaker 10>of also gets at something else, which is we've been

0:21:57.440 --> 0:21:59.960
<v Speaker 10>hearing the callcom has been looking at companies like ten

0:22:00.119 --> 0:22:02.000
<v Speaker 10>Turrent again another player that sort of sits in and

0:22:02.040 --> 0:22:07.360
<v Speaker 10>around this influence AI sphere. Modular itself though, I mean,

0:22:07.440 --> 0:22:11.080
<v Speaker 10>really is that software layer. It's putting those hardware chips

0:22:11.080 --> 0:22:13.639
<v Speaker 10>and making them accessible to cross all different models. So

0:22:13.680 --> 0:22:17.600
<v Speaker 10>that's on you know, Intel and Video and then in

0:22:17.600 --> 0:22:18.840
<v Speaker 10>this case, soon to be Qualcom.

0:22:19.359 --> 0:22:20.760
<v Speaker 2>Should this saw come to plan.

0:22:22.000 --> 0:22:24.200
<v Speaker 3>Bloomberg Deals is right and good, Thank you very much.

0:22:24.240 --> 0:22:28.400
<v Speaker 3>Indeena coming up, Venki Gannism from Menlo Ventures joins us

0:22:28.480 --> 0:22:31.679
<v Speaker 3>talking about the firm's largest fundraise in its history and

0:22:31.760 --> 0:22:36.280
<v Speaker 3>how backing AI startups is forcing, frankly, a shift in strategy.

0:22:36.680 --> 0:22:38.200
<v Speaker 2>A really big and.

0:22:38.200 --> 0:22:43.360
<v Speaker 3>Extended conversation coming up alongside Bloomberg's Natasha Mascarenis. It's halftime

0:22:43.400 --> 0:22:46.280
<v Speaker 3>here in San Francisco. This is what markets look like.

0:22:46.359 --> 0:22:50.040
<v Speaker 3>We're off session lows, but technology is selling off. This

0:22:50.080 --> 0:22:50.920
<v Speaker 3>is Bloomberg Tech.

0:23:02.119 --> 0:23:02.600
<v Speaker 2>Welcome back.

0:23:02.600 --> 0:23:05.440
<v Speaker 3>To Bloomberg Tech Tuesday, June twenty third, there's a lot

0:23:05.480 --> 0:23:09.199
<v Speaker 3>going on our top stories, the AI selloff and SpaceX's

0:23:09.400 --> 0:23:12.720
<v Speaker 3>bumpy ride. Tech Equities reported Carmen Rhinikey standing by in

0:23:12.720 --> 0:23:15.480
<v Speaker 3>New York with all of it common ed.

0:23:15.640 --> 0:23:17.119
<v Speaker 11>Yeah, so we're seeing a lot of red on the

0:23:17.119 --> 0:23:20.439
<v Speaker 11>screen here today. The nasdac's down almost three percent. The

0:23:20.480 --> 0:23:23.520
<v Speaker 11>biggest laggards here are memory names, so we know this

0:23:23.680 --> 0:23:26.359
<v Speaker 11>was kicked off in South Korea when a local media

0:23:26.440 --> 0:23:28.679
<v Speaker 11>reports so that s k Heinex may be sort of

0:23:28.680 --> 0:23:31.000
<v Speaker 11>pulling back on its AI chips, maybe shifting to d

0:23:31.200 --> 0:23:33.679
<v Speaker 11>ram a little bit. That sent the market's tumbling, and

0:23:33.720 --> 0:23:38.080
<v Speaker 11>it's sort of it sort of gave some pause to

0:23:38.119 --> 0:23:39.760
<v Speaker 11>the AI trade that you've seen. So we can see

0:23:39.800 --> 0:23:44.040
<v Speaker 11>the biggest laggards here sand Discorp, Micron Technology, and Lamb.

0:23:44.080 --> 0:23:46.280
<v Speaker 11>So these are all memory names that are dragging that

0:23:46.440 --> 0:23:49.800
<v Speaker 11>market lower. Let's also take a look at SpaceX today,

0:23:50.000 --> 0:23:52.440
<v Speaker 11>so Sharre is actually seeing a little bit of dip buying.

0:23:52.520 --> 0:23:56.159
<v Speaker 11>Perhaps yesterday we saw a pretty concentrated sell off the

0:23:56.240 --> 0:23:58.840
<v Speaker 11>third day of declines that wiped more than four hundred

0:23:58.880 --> 0:24:01.480
<v Speaker 11>billion dollars in market value from the stock. That was

0:24:01.520 --> 0:24:05.840
<v Speaker 11>the second largest one day erasure of market cap in history,

0:24:05.840 --> 0:24:08.800
<v Speaker 11>following only in Nvidia, and brought the three data client

0:24:08.840 --> 0:24:11.360
<v Speaker 11>of more than six hundred billion dollars in values. So

0:24:11.760 --> 0:24:13.919
<v Speaker 11>seeing more green on the screen here Today, shares up

0:24:13.960 --> 0:24:16.280
<v Speaker 11>about two percent just off session highs.

0:24:16.520 --> 0:24:17.960
<v Speaker 2>Few key levels will be watching.

0:24:18.080 --> 0:24:20.920
<v Speaker 11>One is that one hundred and fifty dollars line that

0:24:21.080 --> 0:24:24.120
<v Speaker 11>was where the stock opened at its trading debut. And

0:24:24.320 --> 0:24:25.920
<v Speaker 11>the other one that we'll be looking at is a

0:24:25.960 --> 0:24:28.760
<v Speaker 11>two trillion dollar valuation. We're just sort of flirting with

0:24:28.800 --> 0:24:29.879
<v Speaker 11>that level right now.

0:24:30.160 --> 0:24:33.080
<v Speaker 3>Back to you ed the most common rhyanikey on what's

0:24:33.080 --> 0:24:34.520
<v Speaker 3>going on in tech in public markets.

0:24:34.600 --> 0:24:36.000
<v Speaker 2>Let's get to private markets.

0:24:36.320 --> 0:24:39.159
<v Speaker 3>Some of the big venture winners from the SPACEXIPO are

0:24:39.240 --> 0:24:42.680
<v Speaker 3>cashing in by raising new funds that includes Valor Equity

0:24:42.720 --> 0:24:46.320
<v Speaker 3>Partners founded by longtime MOSC ali Antonio Gressias. According to

0:24:46.400 --> 0:24:49.440
<v Speaker 3>sources values, Fund seven will have about two point five

0:24:49.440 --> 0:24:54.359
<v Speaker 3>billion dollars to invest in startups and more SpaceX shares bloom.

0:24:54.359 --> 0:24:58.000
<v Speaker 3>Most common Arroyo joins us with the details. Let's start

0:24:58.000 --> 0:25:00.520
<v Speaker 3>with the SpaceX part I find that so interesting. You know,

0:25:00.600 --> 0:25:03.560
<v Speaker 3>one of the big winners from the biggest Iphei in history,

0:25:03.600 --> 0:25:06.159
<v Speaker 3>we went over that. But part of the strategy of

0:25:06.200 --> 0:25:09.280
<v Speaker 3>new funds is to put them back into Elon Musk company.

0:25:10.160 --> 0:25:13.359
<v Speaker 12>So there Valor is now out there racing two point

0:25:13.359 --> 0:25:16.440
<v Speaker 12>five billion for this fund. But the quirk with it

0:25:16.480 --> 0:25:18.760
<v Speaker 12>is that the fund has already allocated a portion of

0:25:18.800 --> 0:25:21.679
<v Speaker 12>the funds in two SpaceX shares, which is kind of

0:25:21.680 --> 0:25:26.479
<v Speaker 12>interesting because SpaceX is already trading. But the Valor has

0:25:26.520 --> 0:25:29.000
<v Speaker 12>been fund raising for the past few months. It's not

0:25:29.480 --> 0:25:32.640
<v Speaker 12>happening like it's been happening since like late last year.

0:25:34.320 --> 0:25:37.360
<v Speaker 3>Where does two point five billions sit in the scope

0:25:37.400 --> 0:25:42.560
<v Speaker 3>of Valor's broader assets that it manages, Like this is

0:25:42.600 --> 0:25:46.240
<v Speaker 3>a big firm, right and particularly remind us the return

0:25:46.359 --> 0:25:48.760
<v Speaker 3>or the payoff of the value of their stake in

0:25:48.840 --> 0:25:49.960
<v Speaker 3>SpaceX post flow.

0:25:50.520 --> 0:25:53.240
<v Speaker 12>Right. Yeah, Valor is like said to have a massive

0:25:53.240 --> 0:25:56.160
<v Speaker 12>one fall of like the four percent steak and SpaceX,

0:25:56.880 --> 0:25:59.760
<v Speaker 12>But there are mainly an operational firm right late like

0:25:59.760 --> 0:26:02.240
<v Speaker 12>two like lend resources to the company to the investing,

0:26:03.359 --> 0:26:08.600
<v Speaker 12>so they have like very targeted investments. So they've they've

0:26:08.640 --> 0:26:10.879
<v Speaker 12>been in all of a lot of like the Elon

0:26:10.960 --> 0:26:13.720
<v Speaker 12>Musk's centures, but they also have a lot of consumer

0:26:14.000 --> 0:26:17.560
<v Speaker 12>companies as well that they're invested in. But I think

0:26:17.640 --> 0:26:20.560
<v Speaker 12>it like it kind of shows how much demand there

0:26:20.600 --> 0:26:23.359
<v Speaker 12>is right now for kind of like being part of

0:26:23.359 --> 0:26:23.920
<v Speaker 12>the winners.

0:26:25.280 --> 0:26:28.479
<v Speaker 3>Bloombo's Carmen Roya, thank you very much. Just take a

0:26:28.480 --> 0:26:32.119
<v Speaker 3>look at today's big number. Fifty billion dollars. That's how

0:26:32.160 --> 0:26:35.480
<v Speaker 3>much Apple Dabi's MGX has raised from regional and global

0:26:35.480 --> 0:26:39.960
<v Speaker 3>investors to accelerate spending on AI infrastructure and technology. That's

0:26:39.960 --> 0:26:42.320
<v Speaker 3>according to sources, who also say the firm has already

0:26:42.320 --> 0:26:45.880
<v Speaker 3>deployed capital from the new fund, which closed in recent weeks,

0:26:46.080 --> 0:26:49.639
<v Speaker 3>and that it ranks among the biggest ever dedicated AI

0:26:49.800 --> 0:26:54.600
<v Speaker 3>investment vehicles. More on venure capital and private Market's a

0:26:54.640 --> 0:26:58.040
<v Speaker 3>little closer to home, Menlo Ventures has raised three billion

0:26:58.119 --> 0:27:01.199
<v Speaker 3>dollars for new AI investments, the biggest fund raise in

0:27:01.240 --> 0:27:03.879
<v Speaker 3>the firm's fifty year history. The move reflects just how

0:27:03.960 --> 0:27:08.360
<v Speaker 3>dramatically venture capital is changing as investors' race to back

0:27:08.400 --> 0:27:12.240
<v Speaker 3>the next generation of AI winners. Bloomberg's Bench Capital reporter

0:27:12.320 --> 0:27:15.520
<v Speaker 3>Nasha Natasha Mascarinus broke this story, and she joins us

0:27:15.520 --> 0:27:19.119
<v Speaker 3>alongside Melaventure's partner. Thank you Againissan, and here we are

0:27:19.160 --> 0:27:21.680
<v Speaker 3>in San Francisco. It started with a really basic question,

0:27:22.520 --> 0:27:24.800
<v Speaker 3>thank you, why why raise the three billion?

0:27:25.359 --> 0:27:27.840
<v Speaker 13>First of all, Ed Natasha, thank you so much for

0:27:27.880 --> 0:27:31.480
<v Speaker 13>having us here. It's a privilege to enjoy the special

0:27:31.520 --> 0:27:35.000
<v Speaker 13>moment with you all. Fifty year history. I think this

0:27:35.119 --> 0:27:38.359
<v Speaker 13>moment to me really reminds me of the Renaissance. Like

0:27:38.440 --> 0:27:40.320
<v Speaker 13>I think when I look at the history of mankind

0:27:40.640 --> 0:27:43.040
<v Speaker 13>and look at what happened in the Renaissance of the fourteen hundreds,

0:27:43.320 --> 0:27:45.960
<v Speaker 13>AI is that moment where we actually have a new

0:27:45.960 --> 0:27:50.040
<v Speaker 13>technology coming in, we have this incredible density of talent.

0:27:50.880 --> 0:27:53.199
<v Speaker 13>It was in Florence and the Renaissance, it's in San

0:27:53.240 --> 0:27:56.960
<v Speaker 13>Francisco with AI, and you have these patrons and the

0:27:57.040 --> 0:28:03.000
<v Speaker 13>medicis funding these incredible whether that's Da Vinci Donatello and

0:28:03.240 --> 0:28:06.240
<v Speaker 13>the equal of that would be Dario and Dennis. And

0:28:06.280 --> 0:28:07.960
<v Speaker 13>so I think like that moment is here.

0:28:08.200 --> 0:28:10.720
<v Speaker 2>This is a new thesis to this show and going.

0:28:10.760 --> 0:28:14.359
<v Speaker 13>And to me, the our fifty year history meant that

0:28:14.400 --> 0:28:16.879
<v Speaker 13>we have had this history of finding these moments, and

0:28:16.920 --> 0:28:18.800
<v Speaker 13>for Menlo, it's a special moment to be able to

0:28:18.800 --> 0:28:23.040
<v Speaker 13>have that capital to fund these increbl entrepreneurs. There is

0:28:23.080 --> 0:28:26.440
<v Speaker 13>an amazing eighteen year old woman out there who's thinking

0:28:26.440 --> 0:28:29.280
<v Speaker 13>about starting a company and want her to know that

0:28:29.359 --> 0:28:31.040
<v Speaker 13>we are ready with our capital defund.

0:28:30.760 --> 0:28:33.440
<v Speaker 14>The speaking of history, I mean, this is not the

0:28:33.480 --> 0:28:36.640
<v Speaker 14>first time we've seen Menlo Ventures raise record funds.

0:28:36.680 --> 0:28:37.920
<v Speaker 2>I know in the past.

0:28:38.200 --> 0:28:40.600
<v Speaker 14>In two thousand and five, Menlo raised one point two

0:28:40.680 --> 0:28:43.360
<v Speaker 14>billion dollar fund, you know, eventually to cut it back

0:28:43.400 --> 0:28:46.520
<v Speaker 14>down to four hundred million to get back to the roots.

0:28:46.880 --> 0:28:48.240
<v Speaker 2>So what's different this time?

0:28:48.480 --> 0:28:52.360
<v Speaker 14>You know, what defends the choice to grow the fund size?

0:28:52.520 --> 0:28:54.600
<v Speaker 14>Really also talk to me a little bit about strategy

0:28:55.200 --> 0:28:57.960
<v Speaker 14>and sort of how you plan to invest such a

0:28:57.960 --> 0:28:58.840
<v Speaker 14>big amount of capital.

0:28:59.160 --> 0:29:00.000
<v Speaker 2>Great questions today.

0:29:00.480 --> 0:29:02.440
<v Speaker 13>I mean to me, it's all about making sure we're

0:29:02.480 --> 0:29:05.560
<v Speaker 13>the right capital for the right moment. So I believe

0:29:05.600 --> 0:29:08.680
<v Speaker 13>that we have a Goldilock strategy. We are big enough

0:29:08.760 --> 0:29:10.800
<v Speaker 13>to be able to fund all the companies that matter,

0:29:11.240 --> 0:29:13.440
<v Speaker 13>yet small enough to drive venture rates of return.

0:29:13.800 --> 0:29:15.120
<v Speaker 2>And that's really been our focus.

0:29:15.200 --> 0:29:18.560
<v Speaker 13>We want to be driven by scarcity, so our strategy

0:29:18.600 --> 0:29:21.880
<v Speaker 13>fits that, and we want to find the companies that

0:29:21.960 --> 0:29:24.400
<v Speaker 13>really madden and then concentrate on them.

0:29:24.480 --> 0:29:27.360
<v Speaker 3>Is this what you call avoiding the middle? The venture

0:29:27.360 --> 0:29:28.440
<v Speaker 3>capitals will middle.

0:29:28.280 --> 0:29:30.760
<v Speaker 13>Exactly to us, We want to be in the barbell.

0:29:30.920 --> 0:29:33.160
<v Speaker 13>We want to be in the earliest stage where we

0:29:33.160 --> 0:29:36.920
<v Speaker 13>can find amazing entrepreneurs pre product market fit, but get

0:29:37.000 --> 0:29:40.800
<v Speaker 13>high ownership, and then we want to back the clear

0:29:40.840 --> 0:29:44.160
<v Speaker 13>winners like we have done with an anthropic, a lovable

0:29:44.320 --> 0:29:48.080
<v Speaker 13>and open evidence companies that are scaling and making a difference.

0:29:48.360 --> 0:29:51.960
<v Speaker 14>How much does experimentation show up in check writing these days?

0:29:52.000 --> 0:29:54.880
<v Speaker 14>I know ed and I've spoken a lot about coconut seed.

0:29:55.000 --> 0:29:56.640
<v Speaker 2>Yeah, what's the point of a seed round?

0:29:56.720 --> 0:29:59.920
<v Speaker 14>Essentially exactly exactly, Like, how do you think about that?

0:30:00.080 --> 0:30:02.120
<v Speaker 13>Yeah, actually, it's funny you mentioned it. We actually came

0:30:02.200 --> 0:30:04.760
<v Speaker 13>up with the new STREETE siege strategy where we wanted

0:30:04.760 --> 0:30:06.840
<v Speaker 13>to be nimble, so we set aside a small group

0:30:06.880 --> 0:30:10.680
<v Speaker 13>of dedicated partners, people like Tim Talley, the CEOs Flank

0:30:11.120 --> 0:30:14.200
<v Speaker 13>joff Redfern, the chief product officer of a Classian Matt

0:30:14.240 --> 0:30:18.040
<v Speaker 13>Greening ditdas very dedicated group of people and had a

0:30:18.040 --> 0:30:21.360
<v Speaker 13>different focus. We could actually make an investment with a

0:30:21.440 --> 0:30:23.960
<v Speaker 13>smaller group of people without going to investment committee. So

0:30:24.000 --> 0:30:26.040
<v Speaker 13>I think experimentation has been a very core part of

0:30:26.040 --> 0:30:29.240
<v Speaker 13>our fifty year history. We've always wanted to make sure

0:30:29.280 --> 0:30:32.040
<v Speaker 13>that we are changing with the times, right, the most

0:30:32.080 --> 0:30:34.000
<v Speaker 13>important things we've got to change with the times. We

0:30:34.200 --> 0:30:37.280
<v Speaker 13>also experimented by funding neo labs, and so that's also

0:30:37.320 --> 0:30:38.360
<v Speaker 13>been an area of focus for.

0:30:38.360 --> 0:30:43.840
<v Speaker 3>US funding neolabs, giving founders access to computes, moving away

0:30:43.880 --> 0:30:47.960
<v Speaker 3>from certain areas biology for example, or not moving away

0:30:48.280 --> 0:30:51.200
<v Speaker 3>pairing back to focus unpack all of that.

0:30:51.600 --> 0:30:54.040
<v Speaker 13>Yeah, I think when I think about it, you probably

0:30:54.120 --> 0:30:57.600
<v Speaker 13>moved away more from like fintech and SaaS and more.

0:30:57.920 --> 0:30:59.400
<v Speaker 2>AI centric areas.

0:30:59.520 --> 0:31:02.440
<v Speaker 13>Right to me, biology could be one of those areas

0:31:02.440 --> 0:31:05.400
<v Speaker 13>in which AI makes a huge impact. I mean, look,

0:31:05.720 --> 0:31:08.560
<v Speaker 13>the most important things we can do are to help

0:31:09.320 --> 0:31:12.520
<v Speaker 13>lengthen human lifetime and improve the quality of life. I

0:31:12.600 --> 0:31:14.400
<v Speaker 13>think AI is going to make a big impact in

0:31:14.480 --> 0:31:16.480
<v Speaker 13>drug discovery and it's going to have one of the

0:31:16.520 --> 0:31:18.000
<v Speaker 13>most positive impacts on healthcare.

0:31:18.760 --> 0:31:20.560
<v Speaker 14>You know, you said something to me during our interview,

0:31:20.600 --> 0:31:22.720
<v Speaker 14>but this didn't make the story, but you said, you know,

0:31:22.760 --> 0:31:24.720
<v Speaker 14>in order to win and venture to be Contrarriyan, you

0:31:24.720 --> 0:31:27.600
<v Speaker 14>have to be right and you have to be alone

0:31:27.760 --> 0:31:30.000
<v Speaker 14>where an AI is menlo right and alone.

0:31:30.120 --> 0:31:32.840
<v Speaker 13>Right now, I'll tell you we were right and alone

0:31:32.880 --> 0:31:35.280
<v Speaker 13>in twenty twenty three when we led that round in

0:31:35.320 --> 0:31:39.160
<v Speaker 13>anthropic kudos to my partner Matt, who saw this opportunity.

0:31:39.640 --> 0:31:42.400
<v Speaker 13>Matt Tim They saw that this was going to be

0:31:42.440 --> 0:31:45.240
<v Speaker 13>a special company. If you remember that time everybody talked

0:31:45.240 --> 0:31:48.080
<v Speaker 13>about open Ai and Microsoft, they said the game was over.

0:31:48.160 --> 0:31:49.360
<v Speaker 13>Open Ai as a great winner.

0:31:49.480 --> 0:31:50.880
<v Speaker 2>Look, open Air is a great company.

0:31:51.160 --> 0:31:53.800
<v Speaker 13>But we had the conviction to put five hundred million

0:31:54.240 --> 0:31:56.520
<v Speaker 13>in an eighteen billion dollar round, and I think a

0:31:56.560 --> 0:31:58.480
<v Speaker 13>lot of people didn't want to. And that's what I

0:31:58.520 --> 0:32:01.120
<v Speaker 13>mean is you've got to be contrary in right. It's

0:32:01.160 --> 0:32:03.240
<v Speaker 13>not the first time we did that at Siri. We

0:32:03.320 --> 0:32:05.320
<v Speaker 13>did that with Uber, we did that with Vocal.

0:32:06.200 --> 0:32:07.680
<v Speaker 2>The state of play is really different.

0:32:07.680 --> 0:32:10.600
<v Speaker 3>Now we're going to talk a bit more about the field. Yeah,

0:32:10.840 --> 0:32:13.160
<v Speaker 3>you know, after we take a quick break. Something you

0:32:13.200 --> 0:32:15.480
<v Speaker 3>said about the eighteen year old, maybe it's not an

0:32:15.520 --> 0:32:19.000
<v Speaker 3>eighteen year old. But what we're seeing is rounds where

0:32:19.800 --> 0:32:23.080
<v Speaker 3>there are maybe a few founders, alumni of existing frontier

0:32:23.120 --> 0:32:26.600
<v Speaker 3>labs or academics. They're raising hundreds of millions of dollars

0:32:26.840 --> 0:32:30.680
<v Speaker 3>from the get go, and the venture firm seems to

0:32:30.720 --> 0:32:33.920
<v Speaker 3>be making a bet on those people their expertise and

0:32:33.960 --> 0:32:35.560
<v Speaker 3>their credentials in the field.

0:32:36.080 --> 0:32:37.440
<v Speaker 2>Is that where you expect this to go.

0:32:38.120 --> 0:32:40.960
<v Speaker 13>Yeah, I mean, to me, it's more about making sure

0:32:41.080 --> 0:32:43.960
<v Speaker 13>it's not about eighteen or eighty. It's about finding the

0:32:44.040 --> 0:32:46.960
<v Speaker 13>right person. I think what is different about this time

0:32:47.160 --> 0:32:49.520
<v Speaker 13>is that a lot of the right people are researchers,

0:32:49.640 --> 0:32:52.160
<v Speaker 13>which is different from what traditionally has been the focus.

0:32:52.640 --> 0:32:54.640
<v Speaker 13>And so the thing we spent a lot of time

0:32:54.640 --> 0:32:56.920
<v Speaker 13>at Menlo is thinking about how do we identify these people,

0:32:57.400 --> 0:32:59.640
<v Speaker 13>what are the characteristics that make this We've used a

0:32:59.640 --> 0:33:02.800
<v Speaker 13>lot of and AI internally, so I say we are

0:33:02.800 --> 0:33:04.600
<v Speaker 13>not all in on AI. We also all in on

0:33:04.680 --> 0:33:07.360
<v Speaker 13>AI internally to how we build the firm, and we

0:33:07.440 --> 0:33:09.520
<v Speaker 13>use that to identify the people and then when you

0:33:09.600 --> 0:33:11.520
<v Speaker 13>find them, the act with conviction.

0:33:13.000 --> 0:33:16.959
<v Speaker 14>I talked to the CEO of Axiom for my story today,

0:33:17.000 --> 0:33:18.160
<v Speaker 14>who's building.

0:33:17.840 --> 0:33:20.680
<v Speaker 13>A twenty one year old math genius?

0:33:20.800 --> 0:33:21.040
<v Speaker 4>Yeah?

0:33:21.080 --> 0:33:21.360
<v Speaker 8>I mean?

0:33:21.560 --> 0:33:23.920
<v Speaker 14>And something she said that was interesting was that, you know,

0:33:23.960 --> 0:33:27.720
<v Speaker 14>having technical debates with your vcs is actually a hugely

0:33:28.160 --> 0:33:29.960
<v Speaker 14>valuable ad in this moment. A lot of people invest

0:33:29.960 --> 0:33:31.720
<v Speaker 14>in AI, but a lot of people can't have those debates,

0:33:31.720 --> 0:33:33.520
<v Speaker 14>like talk to me about how you are, how you

0:33:33.520 --> 0:33:35.479
<v Speaker 14>are you personally are staying up to date on AI,

0:33:35.840 --> 0:33:37.960
<v Speaker 14>and how you're getting competitive intelligence right now? Where are

0:33:38.000 --> 0:33:40.760
<v Speaker 14>you finding? You know, these founders between eighteen and eighty.

0:33:41.160 --> 0:33:43.560
<v Speaker 13>Yeah, I mean to me, first thing is to be

0:33:43.640 --> 0:33:44.800
<v Speaker 13>able to do that, you've got to have the right

0:33:44.800 --> 0:33:46.840
<v Speaker 13>technical people in the building. And so we spend the

0:33:46.880 --> 0:33:49.600
<v Speaker 13>last four years making sure that we built the right

0:33:49.640 --> 0:33:52.080
<v Speaker 13>technical team. We talked a little bit about Tim our

0:33:52.360 --> 0:33:57.440
<v Speaker 13>co founder of splunk DD Matt Craning, jaff Redfern, and

0:33:57.480 --> 0:33:57.760
<v Speaker 13>then we.

0:33:57.800 --> 0:33:59.240
<v Speaker 2>Got to use the technology ourselves.

0:33:59.240 --> 0:34:00.720
<v Speaker 13>One of the things we did, and I think you

0:34:00.760 --> 0:34:03.520
<v Speaker 13>mentioned this in your story, we put microphones in a

0:34:03.560 --> 0:34:05.280
<v Speaker 13>lot of this, or the use of a new product

0:34:05.280 --> 0:34:08.400
<v Speaker 13>called Whisper, another founder that you're familiar with. And so

0:34:08.440 --> 0:34:10.640
<v Speaker 13>the idea is we got to use the technology. We

0:34:10.760 --> 0:34:13.440
<v Speaker 13>got to eat, drink our own champagne, as I like

0:34:13.520 --> 0:34:17.000
<v Speaker 13>to say, and then make sure that we are there

0:34:17.040 --> 0:34:18.919
<v Speaker 13>ready to meet the founders where they are.

0:34:19.239 --> 0:34:22.520
<v Speaker 3>Okay, Bloombergs and Sash Mascarinus and Meno Ventures is Vinky again,

0:34:22.560 --> 0:34:24.120
<v Speaker 3>I get to stay with us. We're going to take

0:34:24.160 --> 0:34:26.000
<v Speaker 3>a quick break and then we're going to get back

0:34:26.280 --> 0:34:30.879
<v Speaker 3>to the competition in the field of frontier labs valuations

0:34:31.239 --> 0:34:33.960
<v Speaker 3>and muscling in in a world where the mutual funds,

0:34:34.080 --> 0:34:36.480
<v Speaker 3>the strategics in everyone wants.

0:34:36.320 --> 0:34:38.160
<v Speaker 2>A piece of that pie. Stay with us. This is

0:34:38.200 --> 0:34:38.879
<v Speaker 2>Bloomberg Tech.

0:34:48.760 --> 0:34:52.480
<v Speaker 3>Meno Ventures caused its early investment in Anthropic a bet

0:34:52.560 --> 0:34:54.280
<v Speaker 3>the firm moment at the time.

0:34:55.080 --> 0:34:56.719
<v Speaker 2>All the way back.

0:34:56.880 --> 0:35:00.080
<v Speaker 3>In twenty twenty three, twenty four, Anthropic was viewed a

0:35:00.320 --> 0:35:03.600
<v Speaker 3>distant challenger to open AI. Today that wager stands as

0:35:03.600 --> 0:35:06.719
<v Speaker 3>one of the most consequential investments of the AI era.

0:35:06.840 --> 0:35:08.840
<v Speaker 2>But the field and world is different.

0:35:08.880 --> 0:35:11.640
<v Speaker 3>Bloomberg's VC report and attachment Maskrain is still with us

0:35:11.800 --> 0:35:15.040
<v Speaker 3>and there's been reporting on that along with Menlo Ventures partner.

0:35:15.560 --> 0:35:17.920
<v Speaker 2>Thank you Ganison. I say the field is different.

0:35:19.360 --> 0:35:21.719
<v Speaker 3>When you did that Anthropic round and in the last

0:35:21.719 --> 0:35:25.520
<v Speaker 3>block we talked about how consequential that was, everything happened

0:35:25.560 --> 0:35:32.080
<v Speaker 3>very quickly thereafter, many frontier labs raised money regularly, and

0:35:32.200 --> 0:35:36.560
<v Speaker 3>those joining the cap table were different. They weren't venture firms,

0:35:36.640 --> 0:35:43.080
<v Speaker 3>they were mutual funds, legacy Wall Street institutions, hyperscalers, other strategics.

0:35:43.880 --> 0:35:48.000
<v Speaker 3>How does that change impact affirm like Menlo.

0:35:48.640 --> 0:35:50.640
<v Speaker 13>It changes because it brings in a whole set of

0:35:50.719 --> 0:35:53.560
<v Speaker 13>new players. But I think they bring good perspective from

0:35:53.640 --> 0:35:56.719
<v Speaker 13>up We look at this as an opportunity to collaborate

0:35:57.000 --> 0:35:59.560
<v Speaker 13>and find people who again, look, when you have a

0:35:59.560 --> 0:36:03.120
<v Speaker 13>gold run, everybody rushes in. And I think it takes

0:36:03.160 --> 0:36:05.960
<v Speaker 13>a lot of capital to build these companies, and these

0:36:06.000 --> 0:36:09.080
<v Speaker 13>companies are these sorts as special. You spoke to Karina

0:36:09.120 --> 0:36:11.520
<v Speaker 13>of Actual Math. She has raised now o one hundred

0:36:11.520 --> 0:36:14.080
<v Speaker 13>and fifty million, And I think the way to make

0:36:14.560 --> 0:36:16.320
<v Speaker 13>you know, they say it takes a relay.

0:36:16.160 --> 0:36:16.759
<v Speaker 2>To raise a child.

0:36:17.600 --> 0:36:19.920
<v Speaker 13>It almost takes a country to raise one of these

0:36:19.960 --> 0:36:22.799
<v Speaker 13>AI companies. That's the amount of capital. And I think

0:36:22.880 --> 0:36:25.280
<v Speaker 13>we welcome the chance to collaborate some of these folks

0:36:25.280 --> 0:36:26.360
<v Speaker 13>and they've been great partners.

0:36:27.040 --> 0:36:30.479
<v Speaker 14>Bring me back into that moment of deciding to bet

0:36:30.520 --> 0:36:33.760
<v Speaker 14>the firm really on anthropic. I mean, my reporting says

0:36:33.800 --> 0:36:37.160
<v Speaker 14>that Menlo has put around one billion into the company,

0:36:37.200 --> 0:36:40.440
<v Speaker 14>a stake that is worth nearly fourteen billion. That's according

0:36:40.440 --> 0:36:43.439
<v Speaker 14>to sources familiar with the matter. I mean, that kind

0:36:43.480 --> 0:36:46.879
<v Speaker 14>of return is exciting. It's also the kind of thing

0:36:46.960 --> 0:36:49.080
<v Speaker 14>that I'm guessing you guys are looking to replicate. So

0:36:49.680 --> 0:36:51.160
<v Speaker 14>you know, what's the takeaway there and what are you

0:36:51.200 --> 0:36:52.719
<v Speaker 14>looking you know, how are you changing the way that

0:36:52.800 --> 0:36:53.719
<v Speaker 14>you write checks?

0:36:54.480 --> 0:36:57.880
<v Speaker 13>I think the formula is simple, right, And this has

0:36:57.880 --> 0:37:00.560
<v Speaker 13>been the same formula that's worked for a last of Tears,

0:37:00.600 --> 0:37:03.800
<v Speaker 13>which is go deep into an area, build a thesis,

0:37:04.480 --> 0:37:08.760
<v Speaker 13>find the best company that you can commit to that founder,

0:37:09.239 --> 0:37:12.000
<v Speaker 13>and then partner with them to build with conviction. And

0:37:12.120 --> 0:37:14.640
<v Speaker 13>every one of those things happened with Anthropic in the

0:37:14.680 --> 0:37:17.560
<v Speaker 13>sense that we look at the entire AI landscape, we

0:37:17.719 --> 0:37:20.480
<v Speaker 13>zeroed in on this very very special founding team of

0:37:20.560 --> 0:37:24.080
<v Speaker 13>Daniella and Dario and the six other founders, and then

0:37:24.080 --> 0:37:26.520
<v Speaker 13>my partner Matt said, we got to lean with conviction.

0:37:26.840 --> 0:37:30.280
<v Speaker 13>We all rallied around it, and we raised the biggest

0:37:30.600 --> 0:37:33.279
<v Speaker 13>capital we ever have, and then we have committed to

0:37:33.280 --> 0:37:35.680
<v Speaker 13>build the company with them. And to me, that's the

0:37:35.680 --> 0:37:38.440
<v Speaker 13>same formula we did with Uber, we did with Roku,

0:37:38.480 --> 0:37:40.680
<v Speaker 13>we did a chime, and I think the same formula

0:37:40.760 --> 0:37:44.520
<v Speaker 13>will do in the future. Really selective. We will find

0:37:44.719 --> 0:37:47.880
<v Speaker 13>we have a Goldilocks strategy to be the right size,

0:37:48.160 --> 0:37:50.719
<v Speaker 13>and then we find the right company, we will lead

0:37:50.760 --> 0:37:52.879
<v Speaker 13>with conviction and concentrate on them.

0:37:53.880 --> 0:37:56.239
<v Speaker 14>What do you make of the king making, you know,

0:37:56.440 --> 0:37:59.200
<v Speaker 14>in a queen making strategy that's across the Logan Valley,

0:37:59.239 --> 0:38:02.000
<v Speaker 14>the idea of sort of anointing a winner early on

0:38:02.160 --> 0:38:04.120
<v Speaker 14>by putting a lot of capital into them. That is

0:38:04.160 --> 0:38:07.839
<v Speaker 14>quite different than the anthropic bet that you guys made.

0:38:07.920 --> 0:38:11.080
<v Speaker 14>It was definitely you know, pre revenue and pre household.

0:38:11.160 --> 0:38:13.600
<v Speaker 2>Name well he did cool Daria, the Da Vinci of

0:38:13.680 --> 0:38:17.520
<v Speaker 2>this age. So I don't sorry, no, but yeah, I'm curious.

0:38:17.560 --> 0:38:20.080
<v Speaker 14>I guess the idea of you know, trying to find

0:38:20.080 --> 0:38:22.960
<v Speaker 14>that company not when it's you know, a multi billion valuation,

0:38:23.200 --> 0:38:25.400
<v Speaker 14>but when it's at a fifty million valuation and helping

0:38:25.440 --> 0:38:27.720
<v Speaker 14>it hit that that that those usual numbers.

0:38:27.760 --> 0:38:29.360
<v Speaker 13>So first of all, I love the fact that you

0:38:29.400 --> 0:38:30.280
<v Speaker 13>said queen making.

0:38:30.920 --> 0:38:32.000
<v Speaker 2>I'm a family.

0:38:32.000 --> 0:38:34.239
<v Speaker 13>We have three daughters and my wife is definitely the

0:38:34.280 --> 0:38:37.360
<v Speaker 13>queen of a house. So I like that. And Andiel

0:38:37.640 --> 0:38:40.040
<v Speaker 13>to us, you're right. The way I think we think

0:38:40.080 --> 0:38:42.800
<v Speaker 13>about queen making is to really find those companies early,

0:38:42.960 --> 0:38:45.000
<v Speaker 13>and we have found plenty of those. So while we

0:38:45.120 --> 0:38:48.080
<v Speaker 13>love Anthropic, it's an amazing company. I literally talked to

0:38:48.120 --> 0:38:51.360
<v Speaker 13>my investors about the ten Ai companies not named the

0:38:51.360 --> 0:38:54.799
<v Speaker 13>Anthropic be excited about a company like axiomth where we

0:38:54.880 --> 0:38:58.680
<v Speaker 13>found Karina invested in her very early on open evidence,

0:38:58.719 --> 0:39:02.080
<v Speaker 13>open evidence, which I know you have a connection with

0:39:03.480 --> 0:39:06.360
<v Speaker 13>are lovable. These are all companies they have found early.

0:39:06.440 --> 0:39:10.759
<v Speaker 13>That's really been Melo's focus. Find them early, partner with them,

0:39:11.239 --> 0:39:14.040
<v Speaker 13>size up with conviction, and then build.

0:39:15.239 --> 0:39:17.799
<v Speaker 3>I don't want to put you in a position where

0:39:17.800 --> 0:39:20.880
<v Speaker 3>you can't speak freely. And I get that you know anthropics,

0:39:20.880 --> 0:39:24.040
<v Speaker 3>file confidentially, et cetera. But it seems like there are

0:39:24.040 --> 0:39:26.080
<v Speaker 3>two stories that are both true. At the same time,

0:39:26.560 --> 0:39:30.120
<v Speaker 3>companies are staying private for longer, and yet we are

0:39:30.239 --> 0:39:35.400
<v Speaker 3>on the cusp of a very big I PO window.

0:39:35.480 --> 0:39:39.319
<v Speaker 3>How do you interpret that moment? And also like the

0:39:39.360 --> 0:39:43.120
<v Speaker 3>thing is that it's not just that private companies are

0:39:43.120 --> 0:39:46.440
<v Speaker 3>saying private longer, that the private market seem very willing

0:39:46.520 --> 0:39:50.040
<v Speaker 3>to support that duration and the level of funding that

0:39:50.080 --> 0:39:50.520
<v Speaker 3>they need.

0:39:51.920 --> 0:39:54.359
<v Speaker 13>It is very much true that the private markets are

0:39:54.400 --> 0:39:56.440
<v Speaker 13>probably the biggest I've seen in my lifetime. Right, I've

0:39:56.440 --> 0:39:58.640
<v Speaker 13>been doing mention capital now for my thirtieth year, and

0:39:59.200 --> 0:40:03.399
<v Speaker 13>they're deeper, and this allows companies to stay private, though

0:40:03.440 --> 0:40:05.719
<v Speaker 13>I think eventually my feeling is a lot of these

0:40:05.760 --> 0:40:07.799
<v Speaker 13>companies should go public for a couple of reasons. One,

0:40:07.920 --> 0:40:10.120
<v Speaker 13>we do want the public to participate. I think it

0:40:10.160 --> 0:40:13.120
<v Speaker 13>is very important that in this Ai revolution you see

0:40:13.120 --> 0:40:16.440
<v Speaker 13>it as democratic, yes, and I think it's good for

0:40:16.560 --> 0:40:19.320
<v Speaker 13>society to be able to participate as a wider group.

0:40:19.719 --> 0:40:22.600
<v Speaker 13>I also think that going public creates discipline for all

0:40:22.640 --> 0:40:26.239
<v Speaker 13>these private companies. You know, ultimately, you know, sunlight is

0:40:26.280 --> 0:40:30.080
<v Speaker 13>the best disinfectant, and there's no better sunlight than going public.

0:40:30.719 --> 0:40:34.400
<v Speaker 3>Melo Ventures partner Frankie Gnison and Bloomberg's Natasha Mascarinis, who

0:40:34.400 --> 0:40:37.839
<v Speaker 3>has detailed the firm's history and its latest fundraised three

0:40:37.880 --> 0:40:41.040
<v Speaker 3>billion in funds to back aiur startups on the Bloomberg

0:40:41.040 --> 0:40:43.880
<v Speaker 3>This Morning, Thank you very much. Like coming up, Meta

0:40:44.000 --> 0:40:47.400
<v Speaker 3>is joining the wearables game with its own smart glasses,

0:40:47.480 --> 0:40:51.799
<v Speaker 3>launching three models that are cheaper and fashion forward. My

0:40:51.880 --> 0:40:55.759
<v Speaker 3>producers tell me, hmmm, we'll discuss This is Bloomberg Tech.

0:41:05.160 --> 0:41:08.480
<v Speaker 3>Metha is launching its own smart glasses under its own

0:41:08.520 --> 0:41:12.680
<v Speaker 3>brand for the first time after popularizing wearables through RayBan

0:41:12.880 --> 0:41:16.520
<v Speaker 3>and Oakley partnerships. The tech giants glasses are cheaper and

0:41:16.640 --> 0:41:20.480
<v Speaker 3>even they keep writing this the team fashion forward, with

0:41:20.640 --> 0:41:24.760
<v Speaker 3>one model made in collaboration with Kylie Jenner. Bloomber's consumer

0:41:24.800 --> 0:41:28.120
<v Speaker 3>tech editor Mark German has the details. That's the distinction, right,

0:41:28.200 --> 0:41:31.440
<v Speaker 3>This is Meta All the way through still manufactured by

0:41:31.440 --> 0:41:32.360
<v Speaker 3>a sul Luck Sodoka.

0:41:32.840 --> 0:41:33.719
<v Speaker 2>But for you in.

0:41:33.680 --> 0:41:36.520
<v Speaker 3>Your reporting, like what is this is a moment for

0:41:36.560 --> 0:41:39.880
<v Speaker 3>the wearables category and the smart glasses category, you.

0:41:39.880 --> 0:41:40.640
<v Speaker 2>Know, it's interesting.

0:41:40.760 --> 0:41:42.960
<v Speaker 15>At the end of twenty twenty seven, Apple's going to

0:41:43.000 --> 0:41:46.520
<v Speaker 15>introduce N fifty, that's what it's called within Apple, but

0:41:46.600 --> 0:41:49.200
<v Speaker 15>that is the Apple Smart glasses. And of course, the

0:41:49.200 --> 0:41:52.680
<v Speaker 15>way Apple is vertically integrated, they are going to be designing,

0:41:53.200 --> 0:41:56.160
<v Speaker 15>in branding the glasses, you know, under the Apple name,

0:41:56.280 --> 0:42:00.480
<v Speaker 15>using their own design team. Meta has been licensing the designs,

0:42:00.480 --> 0:42:04.160
<v Speaker 15>are working with Esler Lexotica and basically taking ray Bands

0:42:04.239 --> 0:42:07.080
<v Speaker 15>Oakley's and they're planning other brands like Prada and making

0:42:07.120 --> 0:42:09.600
<v Speaker 15>those smart And for the first time, what Meta's doing

0:42:09.719 --> 0:42:12.200
<v Speaker 15>is they're launching their own Meta branded glasses.

0:42:12.440 --> 0:42:12.600
<v Speaker 2>Right.

0:42:12.640 --> 0:42:14.879
<v Speaker 15>These are not ray Bands, these are not Oakley's. These

0:42:14.920 --> 0:42:18.560
<v Speaker 15>are Meta design glasses by the Meta Industrial and Harvard

0:42:18.600 --> 0:42:21.840
<v Speaker 15>design team within the social networking giant, And so that

0:42:21.960 --> 0:42:22.200
<v Speaker 15>is a.

0:42:22.120 --> 0:42:22.959
<v Speaker 2>Big change for them.

0:42:23.040 --> 0:42:26.440
<v Speaker 15>And by going internal, going in house, that allows them

0:42:26.480 --> 0:42:29.640
<v Speaker 15>to come out with a low end and entry level

0:42:29.680 --> 0:42:32.120
<v Speaker 15>tier for their smart glasses. If you remember, at the

0:42:32.200 --> 0:42:35.040
<v Speaker 15>end of last year, Meta raised the prices of their

0:42:35.040 --> 0:42:38.360
<v Speaker 15>Smart classes with the second generation model, and so the

0:42:38.480 --> 0:42:40.840
<v Speaker 15>entry level of the ray bands, the smart ray bans

0:42:40.920 --> 0:42:44.560
<v Speaker 15>costs about three hundred and eighty dollars. These ones that

0:42:44.600 --> 0:42:46.600
<v Speaker 15>I'm wearing, these are the new Meta branded ones.

0:42:46.840 --> 0:42:48.399
<v Speaker 2>Those are wearing those I.

0:42:48.400 --> 0:42:51.120
<v Speaker 15>Am wearing them. Yes, normally wouldn't be wearing glasses on here,

0:42:51.200 --> 0:42:53.640
<v Speaker 15>but I had to bring these out. I just got

0:42:53.640 --> 0:42:55.799
<v Speaker 15>this prayer last night from Meta. So these are three

0:42:55.880 --> 0:42:59.320
<v Speaker 15>hundred dollars. So that comes in at eight hundred dollars less.

0:42:59.360 --> 0:43:02.080
<v Speaker 15>So that the big play here bringing something that is

0:43:02.120 --> 0:43:04.520
<v Speaker 15>a bit more affordable to market by using their in

0:43:04.560 --> 0:43:05.600
<v Speaker 15>house brand and design.

0:43:06.440 --> 0:43:09.239
<v Speaker 3>Okay, so we have definitively answered the question whether or

0:43:09.280 --> 0:43:12.200
<v Speaker 3>not these are fashion forward. They're fashion forward. I love

0:43:12.239 --> 0:43:15.239
<v Speaker 3>greatam and modeling them. Now you look great. Let's get

0:43:15.280 --> 0:43:17.960
<v Speaker 3>into the technology part. We only have thirty seconds, but

0:43:18.000 --> 0:43:20.759
<v Speaker 3>the capability of these relative to what Meta already had

0:43:20.760 --> 0:43:22.720
<v Speaker 3>out there. O, they're identical, they're the same.

0:43:23.040 --> 0:43:25.719
<v Speaker 15>But the cool anecdote I can give you is that

0:43:25.880 --> 0:43:29.319
<v Speaker 15>Meta seems to be seriously considering launching versions of its

0:43:29.320 --> 0:43:34.960
<v Speaker 15>classes without cameras. Now that creates a few interesting wrinkles here.

0:43:34.960 --> 0:43:37.359
<v Speaker 15>One that'll allow them to create new designs that are

0:43:37.360 --> 0:43:40.680
<v Speaker 15>maybe slimmer and lighter, with more battery life because fewer

0:43:40.719 --> 0:43:44.640
<v Speaker 15>components needing to be dedicated to the camera system. Also

0:43:44.719 --> 0:43:49.280
<v Speaker 15>more privacy conscious and no cameras audio only experience also

0:43:49.320 --> 0:43:51.439
<v Speaker 15>means cheaper, right.

0:43:51.520 --> 0:43:54.759
<v Speaker 3>Bloomberg's Mark Gunman, who leads our consumer technology team on

0:43:54.800 --> 0:43:57.520
<v Speaker 3>the metaglasses, thank you so much. That does it for

0:43:57.600 --> 0:44:00.319
<v Speaker 3>this edition of Bloomberg Tech really packed show lot going

0:44:00.320 --> 0:44:02.480
<v Speaker 3>on in public markets and in private markets in the

0:44:02.520 --> 0:44:05.440
<v Speaker 3>world of technology. Recap all of that on the podcast.

0:44:05.520 --> 0:44:07.480
<v Speaker 3>You can find it on the Bloomberg terminal as well

0:44:07.520 --> 0:44:10.759
<v Speaker 3>as online on Apple, Spotify, and iHeart.

0:44:10.920 --> 0:44:12.480
<v Speaker 2>Have a great day, it's a Bloomberg Tech