WEBVTT - Oracle Kicks Off $20 Billion Capital Raise

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts. Radio. News.

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<v Speaker 3>Bloomberg Tech is live from the heart of Silicon Valley

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<v Speaker 3>with Ed Ludlow in San Francisco.

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<v Speaker 4>This is Bloomberg Tech coming up. Oracle kicking off a

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<v Speaker 4>$ 20 billion capital raise to finance its AI infrastructure spending. Plus,

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<v Speaker 4>anthropic revenue hits nearly $ 17 billion in Q3 before its

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<v Speaker 4>blockbuster IPO. We've got details on the amended S1. And

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<v Speaker 4>Apple is trading at the priciest levels since 2008. Can

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<v Speaker 4>the $ 1 trillion rally continue? That's an earnings story, too.

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<v Speaker 4>Let's get to our top story. The race for capital

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<v Speaker 4>heating up to start the week. Alphabet tapping the European

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<v Speaker 4>debt markets. Oracle looking to raise $ 20 billion combined through

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<v Speaker 4>debt and equity. Bloomberg's Brady Ford joins us with more.

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<v Speaker 4>Let's go to the Oracle piece first because we knew

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<v Speaker 4>this was coming, right? Investor Day, they outlined their plans,

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<v Speaker 4>what they'll need on capital. And when cash flow turns positive,

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<v Speaker 4>what do we need to know here?

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<v Speaker 5>The big question the last week or two has been

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<v Speaker 5>how deep does the hyperscaler spending go and how much

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<v Speaker 5>will they need.

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<v Speaker 1>To issue or borrow to make it happen?

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<v Speaker 5>Last week, Oracle said for their current investment cycle for

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<v Speaker 5>the next couple of years. They will need just 20

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<v Speaker 5>billion more. And that's what we're seeing happen today. Stocks

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<v Speaker 5>are trading down a bit, maybe coming sooner than expected.

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<v Speaker 5>But the big question is, how far does all this

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<v Speaker 5>spending go?

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<v Speaker 4>Just real quick, just before we came to air, Bloomberg

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<v Speaker 4>reporting that Meta, the parent of Facebook, has asked Citigroup

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<v Speaker 4>and Morgan Stanley to put together some fixed income calls

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<v Speaker 4>today and tomorrow.

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<v Speaker 1>What may follow? U.S.

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<v Speaker 4>Dollar-denominated offering and also a separate euro-denominated offering today. All

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<v Speaker 4>according to a Bloomberg source who say Morgan Stanley is

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<v Speaker 4>coordinating the logistics. So it looks like Meta is getting

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<v Speaker 4>going on the debt side of things this Monday as well.

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<v Speaker 4>We'll bring you more when we have it. Then there's Alphabet, Alphabet,

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<v Speaker 4>the parent of Google. You and I were talking a

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<v Speaker 4>lot like post earnings, negative free cash flow. We know

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<v Speaker 4>what the CapEx story is. They, too, are looking to

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<v Speaker 4>the debt markets, but in Europe.

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<v Speaker 6>Right.

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<v Speaker 5>Raising some money over there in Europe. And I think

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<v Speaker 5>the backdrop for all of this is that people are

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<v Speaker 5>getting nervous about all this spending and hyperscalers are needing

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<v Speaker 5>to offer more, more interest, higher.

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<v Speaker 1>Rates to be able to get this capital.

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<v Speaker 5>I mean, a company like Alphabet or Oracle, they can

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<v Speaker 5>afford it, but. It's getting to be a more difficult

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<v Speaker 5>fundraising environment for them.

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<v Speaker 4>Interestingly, they both have $ 125 billion of debt each on

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<v Speaker 4>the balance sheet, but look at their net debt and

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<v Speaker 4>their relative cash positions, and they're like two.

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<v Speaker 1>Very different stories.

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<v Speaker 4>Bloomberg's Brady Ford, thank you very much, and happy Monday

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<v Speaker 4>to you. I want to go to what's happening in markets. Basically,

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<v Speaker 4>in technology stocks, things are pushing higher. We're kind of rebounding,

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<v Speaker 4>but remember Friday. The Nasdaq 100 had its biggest drop

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<v Speaker 4>since June. It was down on the week for the

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<v Speaker 4>third straight week of weekly declines, the longest streak of

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<v Speaker 4>weekly drops since March. Yes, there's green on the screen

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<v Speaker 4>right now. Generally, there's a bit of anxiety, particularly in

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<v Speaker 4>the AI trade. And on a sort of longer time horizon,

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<v Speaker 4>technology stocks have been under pressure. I want to dive

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<v Speaker 4>deeper into that. Joining us now is Celine Wu, Portfolio

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<v Speaker 4>Manager at Lazard Asset Management. And actually, you know, Alphabet's

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<v Speaker 4>a name that you're very focused on. This is so interesting.

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<v Speaker 4>They continue to raise capital through the avenues available to them.

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<v Speaker 4>Negative free cash flow. We know the CapEx story. How

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<v Speaker 4>do you feel about all that?

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<v Speaker 7>I mean, obviously, the concerns are mainly about this timing gap, right,

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<v Speaker 7>between this big CAPEX commitment of fund and the monetization

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<v Speaker 7>of all the spending that is happening. I think investors

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<v Speaker 7>need to be a little bit more patient because the

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<v Speaker 7>underlying demand dynamics that we learned from all the top

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<v Speaker 7>hyperscalers earning this quarter has been pretty impressive, right? The

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<v Speaker 7>top three hyperscalers were able to grow 40%, 50%, 100%.

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<v Speaker 7>on top of the level of $ 100 to $ 200 billion

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<v Speaker 7>in annual run rate revenue. I think that's pretty impressive.

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<v Speaker 7>And they're still talking about stretched customer backlog. So, I mean,

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<v Speaker 7>I think the underlying demand dynamics remain really healthy, and

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<v Speaker 7>we just have to be a little bit more patient

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<v Speaker 7>just to understand how the monetization has come through.

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<v Speaker 4>The monetization is coming through. There's lots of competing data points, right?

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<v Speaker 4>So Google Cloud, 100% year-on-year growth.

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<v Speaker 1>Like, that's pretty amazing. It's impressive. I guess.

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<v Speaker 4>The point of distinction, if you did Microsoft and Alphabet

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<v Speaker 4>side by side, because they reported on the same day,

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<v Speaker 4>Microsoft increasingly cash flow positive and Alphabet increasingly pushing into

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<v Speaker 4>negative free cash flow.

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<v Speaker 1>Is it as simple as that?

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<v Speaker 7>Well, I think we tend to try to oversimplify certain

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<v Speaker 7>data points, especially in the near term. But when you

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<v Speaker 7>actually take a step back and look at what you're

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<v Speaker 7>trying to do, I think Alphabet really stands out because

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<v Speaker 7>you're really going... fully vertically integrated, the full stack, the

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<v Speaker 7>strategic advantage they're trying to build. I mean, in fact,

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<v Speaker 7>they're the number one company in terms of the custom

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<v Speaker 7>chips that is also becoming part of their cloud revenue, right? Also,

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<v Speaker 7>they're trying to sell some of them offerings to the

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<v Speaker 7>third party. So if you actually look at company specific, directionally,

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<v Speaker 7>it seems like they're on the same and very similar direction,

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<v Speaker 7>but what is actually happening quarter over quarter can be

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<v Speaker 7>a little bit different. So we have to take a

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<v Speaker 7>grain of salt when we actually look at some of

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<v Speaker 7>the difference in terms of cash flow dynamics.

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<v Speaker 4>We could also bring what we learned from Anthropix updated

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<v Speaker 4>S1 into this. You have the capital expenditure commitments or

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<v Speaker 4>the spending commitments across public companies and private companies. The

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<v Speaker 4>net conclusion is what? That the demand picture is intact

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<v Speaker 4>given their confidence on spending.

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<v Speaker 7>The net conclusion, I think the most important conclusion is Anthropix,

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<v Speaker 7>which is one of the biggest customers for the hyperscalers

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<v Speaker 7>today and then one of the biggest spenders of all

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<v Speaker 7>these AI computing chips and infrastructure are showcasing pretty impressive

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<v Speaker 7>growth rate. I mean, the revenue, I think, is a

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<v Speaker 7>third quarter that came out today, $ 17 billion. But on

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<v Speaker 7>top of that, more importantly, the unit economics have improved significantly.

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<v Speaker 1>What's the metric you look at there, unit economics?

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<v Speaker 7>So the compute cost to the revenue, right?

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<v Speaker 2>Yes.

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<v Speaker 7>I believe the number used to be, what, 10 times just, what,

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<v Speaker 7>three years ago? Has rapidly come down to 50% level, right?

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<v Speaker 7>I mean, that's really impressive. And their cash balance, right,

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<v Speaker 7>as of third quarter was close to $ 100 billion. So

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<v Speaker 7>this is actually the business model that is able to

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<v Speaker 7>generate profits in the middle of this rapid growth when

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<v Speaker 7>you still need a lot of, you know, capex numbers

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<v Speaker 7>to continue the growth. And I think that's really key

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<v Speaker 7>credential in the validation. Also really important to read through

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<v Speaker 7>for the hyperscalers, again, because this is one of their

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<v Speaker 7>largest customers and biggest vendors of the competing chips of

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<v Speaker 7>the world.

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<v Speaker 4>It is so interesting that we still continue to be

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<v Speaker 4>very fixed on the spending. I'm not an economist, but

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<v Speaker 4>in my limited study of market economics, demand running far

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<v Speaker 4>ahead of a market's ability to supply, for those on

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<v Speaker 4>that side of the table, that's an enviable position to

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<v Speaker 4>be in, isn't it?

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<v Speaker 7>Definitely. And then also pretty unprecedented, right? No one has

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<v Speaker 7>seen something like this. This is probably the biggest technological

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<v Speaker 7>transformation in our lifetime and in history as well. And

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<v Speaker 7>I would like to quote what Andy Jesse said during

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<v Speaker 7>the earnings call. He said it would be really convenient

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<v Speaker 7>if they can spread the CapEx for the next 25 years.

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<v Speaker 7>But that's not the reality. There has to be the disconnect.

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<v Speaker 7>There has to be the timing gap. And that's why

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<v Speaker 7>I like to say the investors need to be a

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<v Speaker 7>little bit more patient Yes, the quarter over quarter results

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<v Speaker 7>are very important, guidelines and everything, but I think the

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<v Speaker 7>longer term, I believe that these companies can actually come through,

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<v Speaker 7>then the economics and the monetization can improve much materially,

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<v Speaker 7>and that's what they're investing today, and they're investing further.

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<v Speaker 4>Celine Wu, Portfolio Manager at Lazard Asset Management. It's great

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<v Speaker 4>to have you back on the show. Thank you very

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<v Speaker 4>much for being with us. Okay, coming up, we're going

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<v Speaker 4>to get kind of back to private markets. Matt Withyla

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<v Speaker 4>from Wellington Management joins us. But we're going to talk

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<v Speaker 4>about Anthropic's upcoming public debut and the new financial details

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<v Speaker 4>just out in the amended regulatory filing.

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<v Speaker 1>That's next. This is Bloomberg Tech.

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<v Speaker 2>Bloomberg Tech.

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<v Speaker 4>And for our picks, amended S1 puts third quarter revenue

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<v Speaker 4>at nearly $ 17 billion. That's up 12-fold from the same

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<v Speaker 4>period a year earlier. Net loss, $ 23. 3 billion, up from

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<v Speaker 4>$ 12. 1 billion. Here, back at the desk, Bloomberg's Bailey Lipschultz.

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<v Speaker 1>Let's go through it. I mean, you know, the S1A hits.

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<v Speaker 1>It was going to hit at some point.

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<v Speaker 4>We go with the third quarter revenue number.

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<v Speaker 1>It's slightly higher than what we reported previously. What else

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<v Speaker 1>do you see?

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<v Speaker 6>Yeah, modestly higher than what we reported about a month ago,

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<v Speaker 6>but not all that much, especially when you talk to

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<v Speaker 6>folks on the buy side. The things that investors really

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<v Speaker 6>were calling out from this refreshed financial statement was, A,

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<v Speaker 6>the cost of compute going up pretty markedly from quarter

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<v Speaker 6>over quarter, or even in particular year over year. And

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<v Speaker 6>the one big thing that we flagged on the terminal

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<v Speaker 6>and that investors have been talking about is the commitments.

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<v Speaker 6>A company committed to spend $ 895 billion in the out years.

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<v Speaker 6>About $ 448 billion of that through the end of the decade.

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<v Speaker 6>And Ed, interestingly enough, in the next 12 months, when

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<v Speaker 6>you include October, about $ 70 billion committed to be spent.

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<v Speaker 6>So this is a company, as we've reported, looking to

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<v Speaker 6>raise more than $ 86 billion. Well, they've already got about

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<v Speaker 6>$ 70 billion they plan on raising. on spending in the

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<v Speaker 6>next 12 months. So where it goes from there will

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<v Speaker 6>be interesting. The one thing we did not get is

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<v Speaker 6>an October revenue run rate update. That is one area

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<v Speaker 6>that is still blocked out on the S1. So we

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<v Speaker 6>should expect to see that in a refresh filing. Again,

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<v Speaker 6>that would be through the end of October. So a

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<v Speaker 6>bit of tight work, Ed, to turn that around in

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<v Speaker 6>two days.

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<v Speaker 4>We also did not get a price range, details of

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<v Speaker 4>the offering in terms of target range, etc.

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<v Speaker 1>I think it is useful.

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<v Speaker 4>Just remind us of where we're at and what our

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<v Speaker 4>reporting has said about the road to the public markets

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<v Speaker 4>for Anthropic from this point.

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<v Speaker 6>So what we had expected, as you mentioned, third quarter

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<v Speaker 6>numbers were going to be dropped in.

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<v Speaker 1>That's what we got today.

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<v Speaker 6>We will now, based on the filing, expect to get

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<v Speaker 6>some type of new run rate update, again, including the

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<v Speaker 6>end of October. That likely will take place over the

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<v Speaker 6>coming days. And then, as you mentioned, next week is

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<v Speaker 6>when we should get the targeted range and offer size.

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<v Speaker 6>Then we will know the valuation the company is targeting,

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<v Speaker 6>the expected total raise, and that'll lay the groundwork formally

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<v Speaker 6>for a formal marketing period for the company to price

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<v Speaker 6>its IPO in the days or week ahead of that

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<v Speaker 6>Thanksgiving holiday here in the U.S. So it'll be an

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<v Speaker 6>interesting week next week, and then obviously all eyes will

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<v Speaker 6>be on the company and its pricing ambitions in the

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<v Speaker 6>week that follows.

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<v Speaker 1>Okay, Bloomberg's Bailey Lipschultz, thank you very much.

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<v Speaker 4>I want to go a bit deeper on a metric

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<v Speaker 4>that Bailey just went through, and that's today's big number,

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<v Speaker 4>$ 895. 4 billion. That is how much Anthropic says it has

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<v Speaker 4>in committed spending in this latest S1A. I want to

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<v Speaker 4>go into it a little bit more. So of that $ 895.

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<v Speaker 7>4 billion, $ 447.

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<v Speaker 4>5 is by the end of 2030. Almost $ 70 billion

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<v Speaker 4>is due over the next 12 months. The balance is

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<v Speaker 4>due right up until 2045. It's anticipated in large part.

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<v Speaker 4>What do anthropic investors make of all of those updates?

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<v Speaker 4>Matt Withyla is head of late-stage growth at Wellington Management,

0:11:29.110 --> 0:11:32.760
<v Speaker 4>which has been an investor in this company since 2025.

0:11:32.750 --> 0:11:34.330
<v Speaker 4>It's great to have you back on the show, Matt.

0:11:34.809 --> 0:11:37.330
<v Speaker 4>I mean, sometimes you just want to put the numbers away.

0:11:37.910 --> 0:11:39.370
<v Speaker 4>What's the story here with Anthropic?

0:11:39.390 --> 0:11:39.949
<v Speaker 1>What are we learning?

0:11:40.390 --> 0:11:42.630
<v Speaker 8>I mean, I think the incremental that we've learned over

0:11:42.690 --> 0:11:45.630
<v Speaker 8>the past day with the new Q3 filings is the

0:11:45.650 --> 0:11:48.890
<v Speaker 8>fact that, one, growth remains incredibly high for this business.

0:11:48.960 --> 0:11:53.400
<v Speaker 2>It's growing 1,200% year over year. Two, the company remains profitable.

0:11:53.440 --> 0:11:56.240
<v Speaker 8>So they're doing this and generating all this revenue, not

0:11:56.300 --> 0:11:59.640
<v Speaker 8>to no end, but to real operating profit. And three,

0:11:59.780 --> 0:12:02.319
<v Speaker 8>as you highlighted, I think that the company is setting

0:12:02.400 --> 0:12:05.660
<v Speaker 8>out to commit to large commits of spend over the

0:12:05.700 --> 0:12:08.450
<v Speaker 8>coming decade. And that's all in support of the demand

0:12:08.470 --> 0:12:09.000
<v Speaker 8>that they're seeing.

0:12:10.050 --> 0:12:13.170
<v Speaker 4>Q3, adjusted operating income, $ 2. 5 billion with a 15% margin.

0:12:13.190 --> 0:12:14.930
<v Speaker 4>Gap operating loss, $ 567 million with a negative 3% margin.

0:12:20.510 --> 0:12:23.579
<v Speaker 4>everyone's trying to understand the unit economics, right? You might

0:12:23.620 --> 0:12:26.660
<v Speaker 4>have heard that earlier in the show. What a dollar

0:12:26.679 --> 0:12:29.300
<v Speaker 4>of spend on compute gets you in terms of revenue.

0:12:29.679 --> 0:12:31.620
<v Speaker 4>How do you digest that?

0:12:31.640 --> 0:12:34.059
<v Speaker 8>I think that the company has repeatedly shown that they

0:12:34.080 --> 0:12:37.040
<v Speaker 8>can squeeze more and more margin out of that dollar

0:12:37.080 --> 0:12:40.310
<v Speaker 8>of revenue by being incredibly efficient on the compute side.

0:12:40.610 --> 0:12:43.410
<v Speaker 8>And if I think back to how Anthropic has evolved,

0:12:43.429 --> 0:12:45.590
<v Speaker 8>I think one of the key things that they've done

0:12:45.870 --> 0:12:48.830
<v Speaker 8>ever since inception is ensure that their models can run

0:12:48.870 --> 0:12:51.630
<v Speaker 8>on a variety of hardware types. They're not beholden to

0:12:51.840 --> 0:12:54.900
<v Speaker 8>one particular type of silicon. They can run on NVIDIA.

0:12:54.960 --> 0:12:56.920
<v Speaker 8>They can run on Google TPUs. They can run on

0:12:56.940 --> 0:13:01.300
<v Speaker 8>the Amazon hardware. And so it's that plus the recursive

0:13:01.360 --> 0:13:04.230
<v Speaker 8>learning that the company is doing with its inference is

0:13:04.309 --> 0:13:07.369
<v Speaker 8>what is driving more and more margin dollars out of

0:13:07.490 --> 0:13:08.870
<v Speaker 8>each dollar of revenue generated.

0:13:10.040 --> 0:13:13.680
<v Speaker 4>I think one other really interesting metric to me was

0:13:13.780 --> 0:13:16.709
<v Speaker 4>how much is still being spent on training relative to

0:13:16.770 --> 0:13:21.230
<v Speaker 4>running inference, right? Clearly, training is still a major focus

0:13:21.250 --> 0:13:24.989
<v Speaker 4>for Anthropic. But for investors, how do you go with that?

0:13:25.230 --> 0:13:28.980
<v Speaker 4>You want to see more commercialization, right?

0:13:29.280 --> 0:13:31.959
<v Speaker 8>You do want to see commercialization, but what is at

0:13:31.980 --> 0:13:35.710
<v Speaker 8>the tip of the spear of commercialization is what the

0:13:35.880 --> 0:13:38.530
<v Speaker 8>models are delivering. And the only way you stay at

0:13:38.570 --> 0:13:41.530
<v Speaker 8>the frontier, which I think anybody would argue is an

0:13:41.590 --> 0:13:45.630
<v Speaker 8>important characteristic of Anthropic, in order to stay at the frontier,

0:13:45.670 --> 0:13:48.150
<v Speaker 8>you really have to do a lot of training in

0:13:48.190 --> 0:13:50.920
<v Speaker 8>order to develop the best models and therefore have the.

0:13:50.880 --> 0:13:51.920
<v Speaker 2>Most inference revenue.

0:13:52.280 --> 0:13:54.540
<v Speaker 8>And so I think that that is a really important

0:13:54.660 --> 0:13:57.460
<v Speaker 8>justification for the spend they do on the training side.

0:13:58.200 --> 0:13:59.600
<v Speaker 1>I find this so fascinating.

0:13:59.620 --> 0:14:02.300
<v Speaker 4>It's like the fixation that we have with the iPhone

0:14:02.640 --> 0:14:04.849
<v Speaker 4>upgrade cycle. I know it's different, but one of the

0:14:04.870 --> 0:14:07.949
<v Speaker 4>things that jumped out at me, model versions released in

0:14:07.970 --> 0:14:12.750
<v Speaker 4>the six months ended September 30th, 2026, accounted for over 80%

0:14:12.750 --> 0:14:15.490
<v Speaker 4>of our revenue for the three months ended September 30th.

0:14:15.510 --> 0:14:17.710
<v Speaker 4>In other words, more than 80% of that Q3 revenue

0:14:18.090 --> 0:14:20.950
<v Speaker 4>came from models that released in the preceding six months,

0:14:21.290 --> 0:14:22.630
<v Speaker 4>like being at the frontier.

0:14:22.710 --> 0:14:23.290
<v Speaker 1>Yeah, sorry, Matt.

0:14:23.370 --> 0:14:25.010
<v Speaker 2>I was going to say, I think that's exactly right.

0:14:25.050 --> 0:14:27.400
<v Speaker 8>And I think that if you look at how the

0:14:27.460 --> 0:14:30.160
<v Speaker 8>model cadence has gone, Anthropic had a big model drop

0:14:30.340 --> 0:14:34.020
<v Speaker 8>in September. And I think the belief is that some

0:14:34.060 --> 0:14:37.460
<v Speaker 8>of this October ARR number that is blank in the

0:14:37.900 --> 0:14:41.570
<v Speaker 8>S1 on page 198 will be filled in and that

0:14:41.760 --> 0:14:44.530
<v Speaker 8>I think there's general consensus that that number will be

0:14:44.670 --> 0:14:48.570
<v Speaker 8>strong because of the model releases that were released in September.

0:14:48.890 --> 0:14:51.280
<v Speaker 8>And so I think being at the frontier does provide

0:14:51.340 --> 0:14:53.800
<v Speaker 8>and generate outside return for the business.

0:14:54.600 --> 0:14:57.739
<v Speaker 4>You know, there's market penetration and then there's also the

0:14:58.260 --> 0:15:01.140
<v Speaker 4>competitive environment, right? So I'm just hitting you with stats,

0:15:01.180 --> 0:15:05.380
<v Speaker 4>but price cuts from new models and contractual discounts shaped

0:15:05.440 --> 0:15:09.240
<v Speaker 4>about $ 600 million off Q3 revenue. That's in page 161

0:15:09.240 --> 0:15:13.880
<v Speaker 4>of the S1A. What would that be evidence of? That they,

0:15:14.080 --> 0:15:16.160
<v Speaker 4>you know, they're still in a race here.

0:15:16.660 --> 0:15:19.180
<v Speaker 2>They're still in a race. They're in a competitive environment.

0:15:19.460 --> 0:15:22.140
<v Speaker 8>And I think that Q3 number reflects the fact that

0:15:22.590 --> 0:15:25.510
<v Speaker 8>In Q3, they did not have a large model release

0:15:25.570 --> 0:15:28.670
<v Speaker 8>until towards the end of that quarter. And they faced

0:15:28.690 --> 0:15:33.150
<v Speaker 8>some competition from OpenAI releasing their frontier model. And so

0:15:33.170 --> 0:15:35.760
<v Speaker 8>I think that maybe put some pressure on the pricing

0:15:35.880 --> 0:15:39.380
<v Speaker 8>capability of the business in Q3. And I think what

0:15:39.500 --> 0:15:41.720
<v Speaker 8>is most exciting to me is the fact that they

0:15:41.760 --> 0:15:45.370
<v Speaker 8>were able to navigate through that pricing environment and still

0:15:45.410 --> 0:15:47.270
<v Speaker 8>generate operating income.

0:15:48.480 --> 0:15:50.300
<v Speaker 1>Matt, I appreciate you coming on the show.

0:15:50.360 --> 0:15:50.580
<v Speaker 9>Right.

0:15:50.640 --> 0:15:52.640
<v Speaker 4>I get that there is a limit to what we

0:15:52.680 --> 0:15:56.820
<v Speaker 4>can discuss in practice with the S1A now out. But

0:15:56.900 --> 0:16:00.040
<v Speaker 4>like Anthropic going public is a big moment, you know,

0:16:00.420 --> 0:16:04.980
<v Speaker 4>for industry, for private markets, for your portfolio.

0:16:05.060 --> 0:16:07.040
<v Speaker 1>Would you just speak a little bit about that?

0:16:07.380 --> 0:16:10.800
<v Speaker 4>Summarize what you think this this sort of foreshadows in

0:16:10.850 --> 0:16:12.470
<v Speaker 4>terms of everyone else going to the market?

0:16:12.800 --> 0:16:15.530
<v Speaker 8>Yeah, I think it's a really important milestone because if

0:16:15.570 --> 0:16:18.130
<v Speaker 8>you look back at how this year has proceeded, the

0:16:18.170 --> 0:16:20.390
<v Speaker 8>market has been waiting for kind of the big three

0:16:20.430 --> 0:16:23.850
<v Speaker 8>to come out. We had SpaceX go out first, Anthropic,

0:16:24.870 --> 0:16:27.040
<v Speaker 8>I believe, will be public in the coming weeks here,

0:16:27.400 --> 0:16:29.860
<v Speaker 8>and then OpenAI. And I think what's unique about this

0:16:29.980 --> 0:16:33.820
<v Speaker 8>is these companies are not coming public with $ 100 million,

0:16:33.820 --> 0:16:34.840
<v Speaker 8>$ 100 billion.

0:16:34.680 --> 0:16:36.140
<v Speaker 2>Of market cap.

0:16:36.380 --> 0:16:38.700
<v Speaker 8>They're coming public at north of a trillion dollars of

0:16:38.730 --> 0:16:41.430
<v Speaker 8>market cap. And so I think this is just validation

0:16:41.470 --> 0:16:46.229
<v Speaker 8>of the fact that the public market isn't dead. IPOs

0:16:46.270 --> 0:16:48.890
<v Speaker 8>are not a thing of the past. The public market

0:16:48.930 --> 0:16:51.730
<v Speaker 8>has just been sleeping. And these IPOs are starting to

0:16:51.970 --> 0:16:54.930
<v Speaker 8>wake up and reinvigorate the.

0:16:55.150 --> 0:16:57.000
<v Speaker 2>Activity in the public side.

0:16:57.380 --> 0:16:58.960
<v Speaker 8>And I think that's one of the benefits that we

0:16:59.020 --> 0:17:01.960
<v Speaker 8>have as investors here at Wellington is the fact that

0:17:02.180 --> 0:17:03.860
<v Speaker 8>we can see that whole picture. We can see the

0:17:03.900 --> 0:17:06.480
<v Speaker 8>private markets. We can see the public markets. And we've

0:17:06.600 --> 0:17:10.159
<v Speaker 8>always been of the belief that These late-stage private companies

0:17:10.320 --> 0:17:15.179
<v Speaker 8>are growing into exciting stories for the public market and

0:17:15.240 --> 0:17:19.000
<v Speaker 8>are not doing it and staying trying to be perpetually private,

0:17:19.020 --> 0:17:19.359
<v Speaker 8>if you will.

0:17:20.260 --> 0:17:22.810
<v Speaker 4>Matt Withile, head of late-stage growth at Wellington Management. Thank

0:17:22.830 --> 0:17:25.959
<v Speaker 4>you so much for being back with us on Bloomberg Tech. Now,

0:17:25.980 --> 0:17:28.550
<v Speaker 4>coming up, the next test for the tech trade on deck,

0:17:29.190 --> 0:17:32.830
<v Speaker 4>Apple results. Out after the closing bell, stock down about

0:17:32.850 --> 0:17:35.310
<v Speaker 4>a percentage point, treading water ahead of that. This is

0:17:35.350 --> 0:17:48.530
<v Speaker 4>Bloomberg Tech. Shares of Apple falling ahead of its earnings

0:17:48.570 --> 0:17:51.939
<v Speaker 4>report today after the closing bell. Early order trends for

0:17:51.980 --> 0:17:55.020
<v Speaker 4>its newest product slate and profitability measures top of mind

0:17:55.060 --> 0:17:58.629
<v Speaker 4>for investors. Bloomberg's Ryan Vestelica. joins us with the preview.

0:17:58.990 --> 0:18:01.350
<v Speaker 4>There's kind of like, you know, there's the corporate earnings

0:18:01.410 --> 0:18:04.629
<v Speaker 4>story and then there's the stock story slightly separately. So

0:18:04.650 --> 0:18:08.060
<v Speaker 4>let's start with expectations for earnings. What are the metrics

0:18:08.119 --> 0:18:09.880
<v Speaker 4>that the street's looking for with Apple?

0:18:11.160 --> 0:18:13.300
<v Speaker 3>Well, I think the major thing is that people really

0:18:13.359 --> 0:18:15.820
<v Speaker 3>want to get a sense of the demand for the

0:18:16.040 --> 0:18:19.220
<v Speaker 3>iPhone Duo, so the foldable iPhone. Now, I think there's

0:18:19.240 --> 0:18:22.280
<v Speaker 3>some positive early indications that there is a lot of

0:18:22.340 --> 0:18:26.120
<v Speaker 3>consumer interest, but how much of that reflects supply availability?

0:18:26.440 --> 0:18:29.590
<v Speaker 3>How much of that reflects, you know, demand being taken

0:18:29.630 --> 0:18:32.689
<v Speaker 3>from other forms of the iPhone, including the Pro and

0:18:32.770 --> 0:18:35.450
<v Speaker 3>Pro Max models? If we are seeing a lot of

0:18:35.609 --> 0:18:38.830
<v Speaker 3>higher-end customers, paying up for the foldable phone, I think

0:18:38.850 --> 0:18:41.030
<v Speaker 3>that's going to be a very positive signal for their

0:18:41.070 --> 0:18:45.810
<v Speaker 3>ability to continue growing average revenue per device and so forth.

0:18:45.830 --> 0:18:48.070
<v Speaker 3>That's going to be a major thing that people are

0:18:48.090 --> 0:18:50.540
<v Speaker 3>going to be watching for in order to justify how

0:18:50.600 --> 0:18:53.960
<v Speaker 3>much the stock has been moving up this year and

0:18:54.960 --> 0:18:57.379
<v Speaker 3>as another potential indication for growth accelerating.

0:18:58.260 --> 0:19:00.020
<v Speaker 4>Okay, so let's go there. You got this piece out

0:19:00.080 --> 0:19:03.690
<v Speaker 4>on the Bloomberg today. Apple's $ 1 trillion rally leaves no

0:19:03.770 --> 0:19:05.570
<v Speaker 4>room for error on earnings.

0:19:05.609 --> 0:19:09.520
<v Speaker 1>There's been this run up. Tell me the stock story.

0:19:10.720 --> 0:19:10.980
<v Speaker 8>Sure.

0:19:11.359 --> 0:19:14.220
<v Speaker 3>So a major factor behind Apple's gain this year, it

0:19:14.260 --> 0:19:18.090
<v Speaker 3>is actually the top performing member of the Mag 7.

0:19:18.090 --> 0:19:21.010
<v Speaker 3>It's almost, I think, 30% or so. And a lot

0:19:21.030 --> 0:19:24.050
<v Speaker 3>of that is because it is seen as an alternative

0:19:24.390 --> 0:19:28.670
<v Speaker 3>to AI. So whenever there is some kind of consternation

0:19:28.780 --> 0:19:31.840
<v Speaker 3>or fear about the state of the AI trade, Apple

0:19:31.880 --> 0:19:36.060
<v Speaker 3>is a very common place that investors are rotating into. Obviously,

0:19:36.160 --> 0:19:39.220
<v Speaker 3>it isn't spending money on CapEx with AI in the

0:19:39.260 --> 0:19:42.369
<v Speaker 3>way that the hyperscalers are. So it doesn't have questions

0:19:42.530 --> 0:19:46.629
<v Speaker 3>about negative cash burn. It doesn't have questions about the

0:19:46.850 --> 0:19:48.950
<v Speaker 3>ROI side of things. Now, there are plenty of people

0:19:48.990 --> 0:19:51.720
<v Speaker 3>who say Apple needs to be more aggressive in AI.

0:19:52.040 --> 0:19:54.430
<v Speaker 3>But at the moment, the fact that it doesn't have

0:19:54.490 --> 0:19:57.710
<v Speaker 3>those spending risks is something that people view really in

0:19:57.770 --> 0:20:01.210
<v Speaker 3>its favor. So that's really helped the stock outperform, especially

0:20:01.270 --> 0:20:04.300
<v Speaker 3>over the past month, past six weeks or so, when

0:20:04.340 --> 0:20:07.720
<v Speaker 3>we started to see other AI names really taking a

0:20:07.780 --> 0:20:11.620
<v Speaker 3>step back. However, this has really resulted in an elevated

0:20:11.680 --> 0:20:15.950
<v Speaker 3>valuation for Apple. I believe it's trading around its most expensive...

0:20:15.910 --> 0:20:19.050
<v Speaker 3>since 2007. So like I said, there are a lot

0:20:19.070 --> 0:20:22.200
<v Speaker 3>of high expectations going into this report, especially since a

0:20:22.300 --> 0:20:25.580
<v Speaker 3>lot of it hasn't really been directly fueled by the

0:20:25.640 --> 0:20:27.240
<v Speaker 3>company's own fundamentals.

0:20:28.359 --> 0:20:30.609
<v Speaker 4>So the point on it being at a priceless level

0:20:30.630 --> 0:20:34.190
<v Speaker 4>since 2007, 2008 is that the stock's vulnerable, right?

0:20:34.210 --> 0:20:35.530
<v Speaker 1>Just explain that logic.

0:20:37.730 --> 0:20:40.450
<v Speaker 3>It's come up so much and the valuation is so

0:20:40.710 --> 0:20:42.970
<v Speaker 3>elevated that people really think we need to see a

0:20:43.090 --> 0:20:45.740
<v Speaker 3>strong report here in order to justify how much the

0:20:45.780 --> 0:20:48.560
<v Speaker 3>stock has moved up. Again, a lot of the stocks

0:20:48.660 --> 0:20:52.060
<v Speaker 3>advanced this year hasn't really been on signs of improving

0:20:52.160 --> 0:20:55.010
<v Speaker 3>fundamentals at Apple. There's been some of that. But it

0:20:55.090 --> 0:20:57.810
<v Speaker 3>is largely in response to sort of the state of

0:20:57.850 --> 0:21:00.910
<v Speaker 3>the AI trade that's really been helping the stock. But

0:21:00.990 --> 0:21:03.190
<v Speaker 3>someone I was speaking to for the story really said,

0:21:03.210 --> 0:21:06.240
<v Speaker 3>you know, this has been an environment where Apple's fundamentals

0:21:06.260 --> 0:21:08.740
<v Speaker 3>have sort of taken a seat back. There's obviously a

0:21:08.800 --> 0:21:13.350
<v Speaker 3>focus on its quality characteristics, the cash flow, the sustainability

0:21:13.410 --> 0:21:16.250
<v Speaker 3>and consistency of earnings. But now we're getting to a

0:21:16.310 --> 0:21:18.450
<v Speaker 3>point where we really need to see what is growth

0:21:18.470 --> 0:21:20.590
<v Speaker 3>going to look like from here. That's going to be

0:21:20.650 --> 0:21:24.120
<v Speaker 3>the real metric that determines whether the stock can keep

0:21:24.160 --> 0:21:26.260
<v Speaker 3>moving up at the way it has been. Or if

0:21:26.300 --> 0:21:29.760
<v Speaker 3>people think this is so expensive, the growth isn't there

0:21:29.780 --> 0:21:31.740
<v Speaker 3>or what we're looking for. And that's an opportunity to

0:21:31.940 --> 0:21:32.780
<v Speaker 3>start stepping back.

0:21:34.109 --> 0:21:36.450
<v Speaker 1>Bloomberg's Ryan Plastelica, thank you very much.

0:21:36.510 --> 0:21:39.669
<v Speaker 4>Coming up, a $ 2 billion valuation and a mission to

0:21:39.710 --> 0:21:43.680
<v Speaker 4>better connect Earth to space. Northwood CEO and founder, Bridget Mendler,

0:21:43.900 --> 0:21:46.880
<v Speaker 4>on the latest funding round from that company. Markets up.

0:21:47.340 --> 0:22:03.210
<v Speaker 4>This is Bloomberg Tech. Welcome back to Bloomberg Tech. Marvell

0:22:03.270 --> 0:22:07.440
<v Speaker 4>has agreed to buy Lamentum at an enterprise value of

0:22:07.440 --> 0:22:10.420
<v Speaker 4>$ 115 billion, one of the biggest ever tech tie-ups. Both

0:22:10.440 --> 0:22:13.120
<v Speaker 4>stocks sinking on the deal, which is expected to close

0:22:13.380 --> 0:22:16.060
<v Speaker 4>in the first half of 2028. Joining us, Bloomberg Deals

0:22:16.080 --> 0:22:19.320
<v Speaker 4>reporter Ryan Gould, who broke the story prior to its

0:22:19.400 --> 0:22:21.520
<v Speaker 4>formal announcement.

0:22:21.520 --> 0:22:24.090
<v Speaker 1>$ 115 billion. Go through the terms. Help me understand this.

0:22:25.630 --> 0:22:25.850
<v Speaker 8>Yes.

0:22:25.930 --> 0:22:29.450
<v Speaker 10>So on the headline, they're saying it's $ 115 billion enterprise

0:22:29.490 --> 0:22:33.869
<v Speaker 10>value deal for Lumentum. We've broken that down for an

0:22:33.990 --> 0:22:37.930
<v Speaker 10>equity value of about $ 102 billion. So comfortably up there

0:22:37.990 --> 0:22:39.760
<v Speaker 10>with the biggest ever, as you.

0:22:39.640 --> 0:22:40.399
<v Speaker 1>Put it at the top.

0:22:40.780 --> 0:22:43.000
<v Speaker 10>And I think just in and of itself, you're looking

0:22:43.020 --> 0:22:46.379
<v Speaker 10>at a deal that essentially based on the premium for

0:22:46.400 --> 0:22:50.270
<v Speaker 10>the unaffected, it's about 24%. So quite a big deal

0:22:50.350 --> 0:22:54.270
<v Speaker 10>for Marvell, definitely among the biggest ever across M &amp; A,

0:22:54.310 --> 0:22:59.310
<v Speaker 10>just on an equity value perspective. And so this is

0:22:59.330 --> 0:23:02.190
<v Speaker 10>quite a gutsy bet by Matt Murphy, the CEO of Marvell,

0:23:02.250 --> 0:23:04.450
<v Speaker 10>to go out here and say, listen, we're making a

0:23:04.520 --> 0:23:08.280
<v Speaker 10>big push here in optical services, the types of things

0:23:08.320 --> 0:23:11.000
<v Speaker 10>that Lumentum supply, and we think it's going to be

0:23:11.260 --> 0:23:14.680
<v Speaker 10>a tailwind for us in the next five to ten

0:23:14.720 --> 0:23:16.760
<v Speaker 10>years as AI is built out in these data centers.

0:23:17.780 --> 0:23:19.020
<v Speaker 1>All stock transaction.

0:23:19.100 --> 0:23:23.119
<v Speaker 4>But when you broke the reporting that the talks were happening,

0:23:23.140 --> 0:23:25.659
<v Speaker 4>it was close. A lot of people asking the question,

0:23:25.680 --> 0:23:29.199
<v Speaker 4>how on earth is this going to work and be

0:23:29.580 --> 0:23:32.330
<v Speaker 4>financed because of the relative market caps and the cash

0:23:32.690 --> 0:23:33.570
<v Speaker 4>on each balance sheet?

0:23:35.170 --> 0:23:37.090
<v Speaker 10>Yeah, I mean, there was no way that Marvell could

0:23:37.109 --> 0:23:38.870
<v Speaker 10>have done this deal had it not been a stock deal.

0:23:38.910 --> 0:23:40.850
<v Speaker 10>They only had about $ 4 or $ 5 billion on their

0:23:40.869 --> 0:23:43.430
<v Speaker 10>balance sheet in cash, as you say. I think some

0:23:43.450 --> 0:23:44.850
<v Speaker 10>of the sell-off you're seeing as you look at the

0:23:44.869 --> 0:23:48.320
<v Speaker 10>share price there, Marvell down, Lumentum also down. Some of

0:23:48.359 --> 0:23:51.020
<v Speaker 10>this took us by surprise last week when we broke

0:23:51.040 --> 0:23:55.120
<v Speaker 10>the initial story because Marvell sold off by 12%. Lumentum

0:23:55.160 --> 0:23:57.440
<v Speaker 10>was up and then gave away some of those gains. Now,

0:23:57.520 --> 0:23:59.460
<v Speaker 10>both stocks are firmly down today on a day that's

0:23:59.550 --> 0:24:03.110
<v Speaker 10>green for the NASDAQ. I think the big concern here

0:24:03.150 --> 0:24:04.950
<v Speaker 10>for investors, I think, well, there are two things probably.

0:24:04.970 --> 0:24:07.850
<v Speaker 10>There's one, which is just the dilution. If you're a

0:24:07.850 --> 0:24:10.270
<v Speaker 10>Marvell shareholder, if you're a Lumentum shareholder, you're looking at

0:24:10.710 --> 0:24:13.450
<v Speaker 10>what that means for you. There's a lot of crossover

0:24:13.520 --> 0:24:16.120
<v Speaker 10>in the shareholder registers. I think that People are also

0:24:16.160 --> 0:24:17.600
<v Speaker 10>starting to get their heads around. And I think the

0:24:17.700 --> 0:24:20.300
<v Speaker 10>other lingering question is, you know, this is a deal

0:24:20.340 --> 0:24:21.980
<v Speaker 10>that they're saying is going to close in the first

0:24:22.020 --> 0:24:26.280
<v Speaker 10>half of 2028. So quite a long, long stop here.

0:24:27.560 --> 0:24:29.619
<v Speaker 10>The big question you have to ask, is it China?

0:24:30.400 --> 0:24:32.300
<v Speaker 10>As far as the regulatory goes, I mean, you know,

0:24:32.320 --> 0:24:34.180
<v Speaker 10>there were, there have been a couple of chips deals

0:24:34.220 --> 0:24:37.450
<v Speaker 10>that have been cleared by China in the past year

0:24:37.510 --> 0:24:40.030
<v Speaker 10>or so, but none as far as, you know, none

0:24:40.070 --> 0:24:42.570
<v Speaker 10>as big as this, either from a sort of industry

0:24:42.650 --> 0:24:44.310
<v Speaker 10>significance perspective or indeed.

0:24:44.190 --> 0:24:46.149
<v Speaker 1>A, you know, pure dollar value.

0:24:47.210 --> 0:24:49.040
<v Speaker 4>On an equity basis, top M &amp; A deal of

0:24:49.080 --> 0:24:53.740
<v Speaker 4>the year, largest ever in global tech, excluding the SpaceX-XAI merger,

0:24:54.020 --> 0:24:56.530
<v Speaker 4>according to our data and reporting. Ryan Gould. Thank you

0:24:56.550 --> 0:24:59.280
<v Speaker 4>very much indeed. I want to go to private markets, startups,

0:24:59.320 --> 0:25:02.880
<v Speaker 4>venture capital. The next big opportunity in space could actually

0:25:02.920 --> 0:25:06.600
<v Speaker 4>be here on Earth. Aerospace startup Northwood builds the ground

0:25:06.680 --> 0:25:11.179
<v Speaker 4>networks that connect satellites and just raised $ 375 million at

0:25:11.420 --> 0:25:14.470
<v Speaker 4>a $ 2 billion valuation. Delighted to welcome back to the

0:25:14.510 --> 0:25:17.790
<v Speaker 4>show Northwood co-founder and CEO Bridget Mendler.

0:25:18.570 --> 0:25:19.669
<v Speaker 1>Really rapid growth.

0:25:20.190 --> 0:25:23.699
<v Speaker 4>In many different metrics but you are trying to get

0:25:23.760 --> 0:25:26.940
<v Speaker 4>that ground network at the same pace that the satellite

0:25:26.980 --> 0:25:29.840
<v Speaker 4>network's being built i guess to start how does this

0:25:29.880 --> 0:25:32.900
<v Speaker 4>capital help you do that Yeah.

0:25:32.940 --> 0:25:34.359
<v Speaker 9>Great to be back on the show, Ed. Great to

0:25:34.400 --> 0:25:34.820
<v Speaker 9>see you.

0:25:35.220 --> 0:25:39.360
<v Speaker 11>We're super excited to announce the fundraise and for all

0:25:39.380 --> 0:25:42.420
<v Speaker 11>that it's going to support with Northwood going forward. We

0:25:42.480 --> 0:25:45.879
<v Speaker 11>have really great partners on the equity side. We have

0:25:46.000 --> 0:25:49.840
<v Speaker 11>A16Z and DFJ co-leading the $ 300 million equity portion of

0:25:49.880 --> 0:25:54.619
<v Speaker 11>the deal and HSBC covering the $ 75 million debt financing.

0:25:54.680 --> 0:25:57.609
<v Speaker 11>And yeah, really, really excited for their partnership. And what

0:25:57.630 --> 0:26:00.050
<v Speaker 11>does it go towards? It goes towards building the network.

0:26:00.109 --> 0:26:03.950
<v Speaker 11>It goes towards expanding our performance and our functionality into

0:26:04.650 --> 0:26:06.850
<v Speaker 11>broader and broader pieces of the networking stack. There's a

0:26:06.970 --> 0:26:10.330
<v Speaker 11>lot to solve if we want to build and bring

0:26:10.350 --> 0:26:12.369
<v Speaker 11>a ton of industry on earth into space.

0:26:12.430 --> 0:26:15.050
<v Speaker 9>And so that's what we're going forward with.

0:26:16.340 --> 0:26:19.980
<v Speaker 4>The story, the backstory is really important to talk about, right?

0:26:20.250 --> 0:26:22.850
<v Speaker 4>We've for a long time been talking about all of

0:26:22.890 --> 0:26:28.070
<v Speaker 4>these satellite deployments, the launch cadence has increased. And simply put,

0:26:28.109 --> 0:26:31.760
<v Speaker 4>the pace of modernization of the ground network and literally

0:26:31.820 --> 0:26:33.780
<v Speaker 4>building it out has not kept pace.

0:26:34.060 --> 0:26:34.359
<v Speaker 10>Why?

0:26:34.500 --> 0:26:35.440
<v Speaker 1>Why was that the case?

0:26:37.040 --> 0:26:40.619
<v Speaker 11>I mean, it's due to a lot of disruption and

0:26:40.660 --> 0:26:43.500
<v Speaker 11>innovation in certain parts of the industry that has not

0:26:43.560 --> 0:26:45.240
<v Speaker 11>translated to other parts of the industry.

0:26:45.290 --> 0:26:47.469
<v Speaker 9>The ground segment, it's pretty fragmented.

0:26:47.690 --> 0:26:51.070
<v Speaker 11>It's pretty divided between a lot of different vendors and

0:26:51.350 --> 0:26:53.850
<v Speaker 11>a divided value chain that just makes it hard to disrupt.

0:26:53.890 --> 0:26:57.260
<v Speaker 11>And so for Northwood, we've taken on that end-to-end value

0:26:57.280 --> 0:26:59.720
<v Speaker 11>chain all the way from the hardware to putting sites

0:26:59.760 --> 0:27:02.540
<v Speaker 11>and locations around the globe. We are currently deploying and

0:27:02.560 --> 0:27:06.300
<v Speaker 11>building sites across nine countries right now. And then software

0:27:06.340 --> 0:27:08.980
<v Speaker 11>that stitches it all together. It is a rather sizable scope.

0:27:09.320 --> 0:27:11.510
<v Speaker 11>It's different than launching and making a rocket, but it's

0:27:11.590 --> 0:27:16.250
<v Speaker 11>also very hard. And so that has been the big

0:27:16.310 --> 0:27:18.850
<v Speaker 11>challenge that Northwood has taken on as a business. And

0:27:18.970 --> 0:27:22.090
<v Speaker 11>we are really grateful for the support and partnership of

0:27:23.170 --> 0:27:25.530
<v Speaker 11>both the folks that have joined the team and been

0:27:25.550 --> 0:27:28.090
<v Speaker 11>building the product as well as those on the financing side.

0:27:29.290 --> 0:27:30.920
<v Speaker 4>You and I have been talking about this for a

0:27:30.960 --> 0:27:33.080
<v Speaker 4>couple of years now, and the audience will be familiar

0:27:33.140 --> 0:27:37.720
<v Speaker 4>with the very big mechanically rotating satellite dishes here on Earth.

0:27:38.340 --> 0:27:42.210
<v Speaker 4>They'll know exactly what I mean. You do phased array antenna.

0:27:42.750 --> 0:27:45.990
<v Speaker 4>Why is that technology better? Why is it quicker to deploy,

0:27:46.310 --> 0:27:47.190
<v Speaker 4>to get going on?

0:27:48.290 --> 0:27:52.350
<v Speaker 11>Yeah, so we do phased array technology for our portal

0:27:52.390 --> 0:27:56.170
<v Speaker 11>product line. We do PRISM, which is a parabolic technology

0:27:56.250 --> 0:27:59.070
<v Speaker 11>for our PRISM high throughput product line. And each of

0:27:59.109 --> 0:28:02.359
<v Speaker 11>those technologies have really transformed what it means to build

0:28:02.580 --> 0:28:04.100
<v Speaker 11>and deploy antenna capacity.

0:28:04.540 --> 0:28:06.199
<v Speaker 9>So we kind of clean slated it.

0:28:06.300 --> 0:28:09.520
<v Speaker 11>We've been able to build these modular units that you

0:28:09.540 --> 0:28:12.439
<v Speaker 11>can recombine together and you can ship and deploy in

0:28:12.460 --> 0:28:15.560
<v Speaker 11>a really rapid fashion. So recently, we've actually been able

0:28:15.600 --> 0:28:20.660
<v Speaker 11>to deploy demonstrate this deploying a equivalent of a 20

0:28:20.660 --> 0:28:25.300
<v Speaker 11>foot dish. So think of, you know, nearly two stories high, really,

0:28:25.340 --> 0:28:29.100
<v Speaker 11>really large units. kind of footprint that you use to

0:28:29.140 --> 0:28:31.480
<v Speaker 11>communicate with satellites that are far away, we've been able

0:28:31.500 --> 0:28:34.639
<v Speaker 11>to actually deploy that capacity in a matter of days.

0:28:35.300 --> 0:28:38.800
<v Speaker 11>And being able to do that with a traditional parabolic

0:28:38.820 --> 0:28:41.960
<v Speaker 11>solution for that would have required months in order to

0:28:42.380 --> 0:28:45.370
<v Speaker 11>resolve the construction project that would be attached to that.

0:28:45.460 --> 0:28:50.290
<v Speaker 11>So really tight compression of the timeline. And we've been

0:28:50.310 --> 0:28:52.610
<v Speaker 11>excited to be able to flex those capabilities with real

0:28:52.650 --> 0:28:55.310
<v Speaker 11>customers on real missions They really matter.

0:28:55.470 --> 0:28:58.430
<v Speaker 9>So it's exciting to be at this stage of the business.

0:28:59.190 --> 0:29:02.469
<v Speaker 4>Bridget, who are those customers? Is this private commercial space?

0:29:02.530 --> 0:29:03.310
<v Speaker 4>Is this the government?

0:29:04.880 --> 0:29:08.520
<v Speaker 9>It's dual use. So the technology is used in both instances.

0:29:08.800 --> 0:29:12.660
<v Speaker 11>And so while the exact customer that we've demonstrated those

0:29:12.860 --> 0:29:16.420
<v Speaker 11>capabilities with, we can't publicly state at this time, we'll

0:29:16.440 --> 0:29:19.830
<v Speaker 11>be able to share more soon and excited to release that.

0:29:20.870 --> 0:29:21.890
<v Speaker 1>Bridget, where are you right now?

0:29:21.950 --> 0:29:24.300
<v Speaker 4>Talk a little bit about what's over your shoulder because

0:29:24.320 --> 0:29:26.880
<v Speaker 4>part of the story of you is like you've grown

0:29:26.900 --> 0:29:29.420
<v Speaker 4>the space that you need a lot. You plan to

0:29:29.520 --> 0:29:30.920
<v Speaker 4>add several hundred staff.

0:29:31.160 --> 0:29:31.920
<v Speaker 1>What's going on there?

0:29:32.980 --> 0:29:35.830
<v Speaker 9>Yeah. So behind me, we're now in the new facility.

0:29:35.870 --> 0:29:36.870
<v Speaker 9>We're at our 185,000 foot facility, which.

0:29:40.900 --> 0:29:43.980
<v Speaker 11>Allows us to scale up production and produce a lot

0:29:44.020 --> 0:29:46.900
<v Speaker 11>more volume of antennas so that we can ship those

0:29:46.980 --> 0:29:49.870
<v Speaker 11>out around the world and and get more capacity live

0:29:49.890 --> 0:29:53.150
<v Speaker 11>and online. What it represents is kind of an evolution

0:29:53.390 --> 0:29:55.030
<v Speaker 11>of our manufacturing approach as well.

0:29:55.130 --> 0:29:58.150
<v Speaker 9>As an early stage company, we approach things clean state.

0:29:58.370 --> 0:30:01.810
<v Speaker 11>We totally revisited the supply chain for the space industry

0:30:02.090 --> 0:30:04.370
<v Speaker 11>and got really creative about which kind of vendors we

0:30:04.390 --> 0:30:05.030
<v Speaker 11>could partner with.

0:30:05.810 --> 0:30:07.350
<v Speaker 9>And how we would build the product. And now at

0:30:07.390 --> 0:30:07.930
<v Speaker 9>this level of.

0:30:07.910 --> 0:30:10.520
<v Speaker 11>Maturity of the company, we're at the stage where we

0:30:10.560 --> 0:30:13.580
<v Speaker 11>can deepen those partnerships with the vendors that we've established

0:30:13.600 --> 0:30:16.440
<v Speaker 11>really good relationships with, but we can also bring more

0:30:16.460 --> 0:30:17.060
<v Speaker 11>things in-house.

0:30:17.140 --> 0:30:18.980
<v Speaker 9>So the facility does both of those things.

0:30:19.060 --> 0:30:23.060
<v Speaker 11>We have large areas for inventory as we bring our

0:30:23.100 --> 0:30:28.830
<v Speaker 11>supply in, we have machining, we have board production and assembly,

0:30:29.610 --> 0:30:33.010
<v Speaker 11>we have many other in-house components. And then we also

0:30:33.050 --> 0:30:35.150
<v Speaker 11>have the testing apparatuses so that we can send our

0:30:35.190 --> 0:30:38.510
<v Speaker 11>systems out into the field completely ready to go and

0:30:38.530 --> 0:30:42.400
<v Speaker 11>have that really aggressive deploy time that we've advertised.

0:30:42.420 --> 0:30:48.300
<v Speaker 4>Bridget Mendler, CEO and co-founder of Northwood, $ 2 billion valuation,

0:30:48.500 --> 0:30:51.290
<v Speaker 4>equity raise, line of credit. Really great to have you

0:30:51.310 --> 0:30:54.710
<v Speaker 4>back on the show. Okay, coming up, we're going to speak.

0:30:54.550 --> 0:30:55.209
<v Speaker 1>With Will Kemp.

0:30:55.920 --> 0:30:59.760
<v Speaker 4>Meridis, co-author of the new essay. You're all talking about

0:30:59.780 --> 0:31:03.200
<v Speaker 4>it on the socials. The commanding heights. Who the economic

0:31:03.260 --> 0:31:04.460
<v Speaker 4>winners from AI could be.

0:31:04.560 --> 0:31:05.220
<v Speaker 1>Spoiler alert.

0:31:06.220 --> 0:31:09.560
<v Speaker 4>Doesn't think they'll be today's AI leaders. Really big one

0:31:09.760 --> 0:31:22.870
<v Speaker 4>coming up next. This is Bloomberg Tech. We spend a

0:31:22.890 --> 0:31:25.790
<v Speaker 4>lot of time talking about who's winning the AI race.

0:31:26.170 --> 0:31:30.110
<v Speaker 4>Open AI, Anthropic, NVIDIA, the hyperscalers. But what if we're

0:31:30.130 --> 0:31:33.460
<v Speaker 4>looking in the wrong place? Will Menides is the co-author

0:31:33.500 --> 0:31:36.880
<v Speaker 4>of a new essay called The Commanding Heights, which argues

0:31:36.920 --> 0:31:41.120
<v Speaker 4>that as artificial intelligence becomes cheaper and more widely available,

0:31:41.480 --> 0:31:44.820
<v Speaker 4>the biggest economic gains could ultimately flow elsewhere. Delighted to

0:31:44.880 --> 0:31:47.690
<v Speaker 4>say that Wilma knows joins us now. I'll be able

0:31:47.710 --> 0:31:49.870
<v Speaker 4>to start with just the thesis in simple terms, right?

0:31:50.610 --> 0:31:53.390
<v Speaker 4>What are the commanding heights of the AI economy?

0:31:53.750 --> 0:31:55.090
<v Speaker 1>Absolutely. And it's good to be here.

0:31:55.230 --> 0:31:57.230
<v Speaker 12>The commanding heights we think of as the basket of

0:31:57.250 --> 0:32:00.880
<v Speaker 12>businesses that gain durable economic advantage as a result of

0:32:00.960 --> 0:32:05.430
<v Speaker 12>continued scaling of artificial intelligence. We're really interested in businesses

0:32:05.470 --> 0:32:09.340
<v Speaker 12>that have an economic position that becomes more advantaged, not

0:32:09.390 --> 0:32:12.100
<v Speaker 12>only by dint of being able to train frontier intelligence,

0:32:12.500 --> 0:32:14.780
<v Speaker 12>but being able to capture the networks and rails that

0:32:14.820 --> 0:32:17.770
<v Speaker 12>that intelligence and the corresponding commerce will flow across.

0:32:19.750 --> 0:32:23.830
<v Speaker 4>This is all predicated on AI itself becoming abundant and cheap.

0:32:23.910 --> 0:32:25.950
<v Speaker 4>And so you must have conviction, Will, that that is

0:32:26.060 --> 0:32:28.320
<v Speaker 4>what is happening and will happen. What are some of

0:32:28.340 --> 0:32:30.340
<v Speaker 4>the data points that you look at most closely to

0:32:30.860 --> 0:32:31.900
<v Speaker 4>kind of model for that?

0:32:31.920 --> 0:32:32.680
<v Speaker 7>Absolutely.

0:32:32.720 --> 0:32:36.070
<v Speaker 12>We believe in scaling laws constitutionally. Leopold was correct to

0:32:36.550 --> 0:32:39.430
<v Speaker 12>say that intelligence will continue to scale, that the build-out

0:32:39.470 --> 0:32:42.050
<v Speaker 12>will continue, and these models will get better. We believe

0:32:42.090 --> 0:32:45.490
<v Speaker 12>that very, very strongly. However, the cost of an individual

0:32:45.670 --> 0:32:48.390
<v Speaker 12>unit of frontier intelligence, that is a token that is

0:32:48.630 --> 0:32:51.290
<v Speaker 12>at the frontier being used to power a workflow, has

0:32:51.370 --> 0:32:54.590
<v Speaker 12>fallen about 13 times over the last 12 months. It's

0:32:54.650 --> 0:32:57.070
<v Speaker 12>our belief that as intelligence gets better, it will become

0:32:57.110 --> 0:32:59.950
<v Speaker 12>cheaper and become more ubiquitous, and that will lead to

0:33:00.010 --> 0:33:03.270
<v Speaker 12>weird knock-on effects across the economy. And Commanding Heights is

0:33:03.290 --> 0:33:06.050
<v Speaker 12>an essay that ultimately concerns itself about where those economic

0:33:06.090 --> 0:33:09.330
<v Speaker 12>benefits will accrue, and it's our strong conviction that they

0:33:09.370 --> 0:33:11.970
<v Speaker 12>may be far away from the foggy hills of San Francisco.

0:33:13.050 --> 0:33:13.210
<v Speaker 2>Right.

0:33:13.290 --> 0:33:16.330
<v Speaker 4>So this is the bit that I struggle to reach

0:33:16.370 --> 0:33:18.630
<v Speaker 4>a conclusion of my own on for what it's worth.

0:33:18.670 --> 0:33:23.150
<v Speaker 4>So it seems like the model, the underlying model, is

0:33:23.250 --> 0:33:27.780
<v Speaker 4>not where the lasting value sits. So where does the

0:33:27.820 --> 0:33:30.680
<v Speaker 4>money go if that's the case, if I've interpreted that correctly?

0:33:30.840 --> 0:33:31.360
<v Speaker 1>Yeah, absolutely.

0:33:31.400 --> 0:33:34.340
<v Speaker 12>And this is not a short frontier lab essay, right?

0:33:34.380 --> 0:33:37.500
<v Speaker 12>We believe Anthropic and OpenAI are great businesses. What we're

0:33:37.540 --> 0:33:40.239
<v Speaker 12>really interested in is a narrow set of businesses that

0:33:40.260 --> 0:33:43.820
<v Speaker 12>we call the commanding heights. which we think about as

0:33:43.840 --> 0:33:46.120
<v Speaker 12>the rate of commerce in the world increases, as the

0:33:46.160 --> 0:33:49.400
<v Speaker 12>number of firms that are distilling intelligence increase, we're really

0:33:49.440 --> 0:33:51.580
<v Speaker 12>in the first inning here. The number of firms that

0:33:51.600 --> 0:33:54.760
<v Speaker 12>have deployed these things well is vanishingly small.

0:33:55.260 --> 0:33:57.160
<v Speaker 1>And the argument we make in the piece is the.

0:33:57.120 --> 0:34:00.260
<v Speaker 12>Companies that control the rails, the companies that control the distribution,

0:34:00.680 --> 0:34:03.120
<v Speaker 12>to take the intelligence that's developed inside of firms like

0:34:03.180 --> 0:34:06.360
<v Speaker 12>OpenAI and Anthropic and diffuse it into the real world

0:34:06.740 --> 0:34:11.239
<v Speaker 12>will benefit disproportionately. We categorize this in two different categories.

0:34:11.760 --> 0:34:14.080
<v Speaker 12>First is firms that just benefit by dint of having

0:34:14.120 --> 0:34:17.180
<v Speaker 12>more intelligence, right? Businesses that use lots of human cognitive

0:34:17.239 --> 0:34:20.859
<v Speaker 12>labor today are obviously able to see margin expansion. But

0:34:20.880 --> 0:34:24.839
<v Speaker 12>with a second interesting category that we declare as the neo-dollar,

0:34:24.910 --> 0:34:28.750
<v Speaker 12>the neo-dollar essentially, you know, intelligence is dollar denominated, right?

0:34:28.850 --> 0:34:32.130
<v Speaker 12>AI is an American business. It's the American economy. Demand

0:34:32.170 --> 0:34:35.150
<v Speaker 12>for U.S. dollar flows and demands for U.S. commerce is

0:34:35.190 --> 0:34:37.610
<v Speaker 12>going to increase. So we believe there's a whole new

0:34:37.650 --> 0:34:40.210
<v Speaker 12>set of businesses and the market has not adequately priced

0:34:40.719 --> 0:34:43.260
<v Speaker 12>that are going to facilitate commerce in this new intelligent

0:34:43.320 --> 0:34:45.810
<v Speaker 12>economy that have not adequately been identified.

0:34:45.830 --> 0:34:52.350
<v Speaker 4>It's like this era of American industrialization, re-industrialization. The reason

0:34:52.370 --> 0:34:53.910
<v Speaker 4>I find that part interesting is like, you know, you

0:34:53.950 --> 0:34:57.240
<v Speaker 4>look back at history, the case study of the railroads

0:34:57.500 --> 0:35:01.420
<v Speaker 4>in this country, which is fascinating. What does that period

0:35:01.440 --> 0:35:07.299
<v Speaker 4>of history teach us about what is now contemporaneously sort

0:35:07.320 --> 0:35:09.430
<v Speaker 4>of technological revolution?

0:35:09.750 --> 0:35:13.320
<v Speaker 12>Yeah, very rarely is the place where technology invented also

0:35:13.360 --> 0:35:15.410
<v Speaker 12>the place where that economic benefit is captured.

0:35:15.810 --> 0:35:15.969
<v Speaker 1>Right.

0:35:16.010 --> 0:35:18.950
<v Speaker 12>Gutenberg invented the printing press and still went bankrupt. The

0:35:19.010 --> 0:35:21.410
<v Speaker 12>railroad fortunes never built a single locomotive.

0:35:21.630 --> 0:35:21.850
<v Speaker 1>Right.

0:35:22.230 --> 0:35:24.490
<v Speaker 12>If intelligence is going to work, which we believe it will,

0:35:24.870 --> 0:35:27.030
<v Speaker 12>it needs to be dragged kind of kicking and screaming

0:35:27.110 --> 0:35:30.430
<v Speaker 12>from the share houses in San Francisco to New York

0:35:30.890 --> 0:35:32.870
<v Speaker 12>and put to work in the real economy. We believe

0:35:32.910 --> 0:35:35.850
<v Speaker 12>this diffusion is the real story of AI and the

0:35:35.950 --> 0:35:39.189
<v Speaker 12>companies that power that diffusion will become the overwhelming chunk

0:35:39.230 --> 0:35:40.570
<v Speaker 12>of the economy over the next decade.

0:35:41.780 --> 0:35:43.879
<v Speaker 4>Will, you've said we quite a few times. I think

0:35:43.940 --> 0:35:46.620
<v Speaker 4>explain what you mean by that, where the school of

0:35:46.640 --> 0:35:48.680
<v Speaker 4>thought comes from. But I think a lot of people

0:35:48.719 --> 0:35:51.750
<v Speaker 4>are sharing this essay on socials and, you know, people

0:35:51.790 --> 0:35:52.430
<v Speaker 4>are engaged.

0:35:52.450 --> 0:35:55.590
<v Speaker 1>They're talking about it. What prompted you to write it?

0:35:55.790 --> 0:35:57.870
<v Speaker 4>I mean, what was the catalyst that had you sit

0:35:57.890 --> 0:36:00.270
<v Speaker 4>down and go, you know, I need to look into

0:36:00.290 --> 0:36:01.310
<v Speaker 4>this and I believe this?

0:36:01.650 --> 0:36:04.279
<v Speaker 12>Yeah, I grew up inside the AI economy, right? I

0:36:04.320 --> 0:36:06.960
<v Speaker 12>was 19 when the attention is all you need paper

0:36:07.000 --> 0:36:09.800
<v Speaker 12>came out. I built and sold a foundation model company

0:36:09.860 --> 0:36:12.540
<v Speaker 12>called Science.io. I wrote this with a good friend of mine,

0:36:12.560 --> 0:36:15.819
<v Speaker 12>Joe Roberts, who is a special situations investor. And we've

0:36:15.840 --> 0:36:18.280
<v Speaker 12>been working on this piece for the past year because

0:36:18.300 --> 0:36:21.089
<v Speaker 12>we didn't feel like there was adequate discussion about what

0:36:21.170 --> 0:36:24.430
<v Speaker 12>the ultimate economic structure of intelligence would look like. It's

0:36:24.489 --> 0:36:26.969
<v Speaker 12>our view that the market is not adequately pricing these

0:36:26.989 --> 0:36:30.030
<v Speaker 12>things in totality, right? I think everyone's aware that equities

0:36:30.090 --> 0:36:32.910
<v Speaker 12>are mispriced as a result of this technology. But right now,

0:36:32.950 --> 0:36:35.950
<v Speaker 12>we've just been bottleneck trading from trade to trade to trade, right?

0:36:35.989 --> 0:36:38.210
<v Speaker 12>We'll run memory up, then we'll run storage up, then

0:36:38.230 --> 0:36:41.049
<v Speaker 12>we'll run RAM up. But we have not adequately understood

0:36:41.070 --> 0:36:45.200
<v Speaker 12>that the fundamental structure that underlies the U.S. economy has changed.

0:36:45.219 --> 0:36:48.380
<v Speaker 12>All equities will reprice as a result of this. And

0:36:48.420 --> 0:36:51.340
<v Speaker 12>it's worth suggesting a scenario, which we do in Commanding Heights,

0:36:51.800 --> 0:36:54.070
<v Speaker 12>of where those economic benefits could ultimately end up.

0:36:55.030 --> 0:36:58.250
<v Speaker 4>Do you present a range of scenarios or you just

0:36:58.270 --> 0:37:02.040
<v Speaker 4>see one end destination based on where we're currently at

0:37:02.580 --> 0:37:04.340
<v Speaker 4>in the development of artificial intelligence?

0:37:04.520 --> 0:37:06.380
<v Speaker 12>I mean, we'd be crazy people to come here and

0:37:06.400 --> 0:37:08.680
<v Speaker 12>say we have all the answers. The main thing we

0:37:08.700 --> 0:37:11.120
<v Speaker 12>wanted to develop was this idea of commanding heights, right?

0:37:11.140 --> 0:37:15.390
<v Speaker 12>These businesses that have... unbelievable positioning. An example we call

0:37:15.430 --> 0:37:17.989
<v Speaker 12>out in the piece as Meta, right? Meta is an

0:37:18.030 --> 0:37:20.790
<v Speaker 12>incredibly interesting business because not only can it do frontier

0:37:20.830 --> 0:37:24.190
<v Speaker 12>training itself, but it also owns the rails to handle

0:37:24.210 --> 0:37:27.290
<v Speaker 12>the diffusion of that intelligence to the global economy and

0:37:27.310 --> 0:37:29.569
<v Speaker 12>also handle the commerce on the back end of it.

0:37:30.080 --> 0:37:33.180
<v Speaker 12>We think this is massive tailwinds for businesses that have

0:37:33.219 --> 0:37:36.340
<v Speaker 12>that legacy distribution and are able to capture the benefits

0:37:36.380 --> 0:37:38.840
<v Speaker 12>of frontier intelligence and bring it to the global economy.

0:37:40.960 --> 0:37:44.140
<v Speaker 4>Will Menoudis, SVP at Veridigm, co-author of the essay, The

0:37:44.200 --> 0:37:46.560
<v Speaker 4>Commanding Heights, that so many of you are talking about

0:37:47.160 --> 0:37:48.940
<v Speaker 4>in real time. Thank you so much for being with us.

0:37:49.800 --> 0:37:52.230
<v Speaker 4>Coming up on the rest of the show, the tech

0:37:52.250 --> 0:37:55.650
<v Speaker 4>industry is preparing for a midterm election that could have

0:37:55.690 --> 0:37:58.690
<v Speaker 4>an impact on AI and tech leaders' own wallets. We're

0:37:58.710 --> 0:38:01.129
<v Speaker 4>going to have those details next. This is Bloomberg Tech.

0:38:14.489 --> 0:38:16.609
<v Speaker 4>Midterms are just a day away, but it's not only

0:38:16.730 --> 0:38:20.270
<v Speaker 4>candidates that Americans will be casting their votes for. Ballot

0:38:20.310 --> 0:38:22.770
<v Speaker 4>measures across the country could have a big impact on tech,

0:38:22.890 --> 0:38:27.050
<v Speaker 4>from data center moratoriums to California's Proposition 40, the so-called

0:38:27.410 --> 0:38:31.270
<v Speaker 4>billionaire's tax that could hit ultra-wealthy tech leaders in this state.

0:38:31.290 --> 0:38:34.190
<v Speaker 4>I want to get more from Bloomberg's Felipe Marquez. Let's

0:38:34.210 --> 0:38:37.230
<v Speaker 4>start with Prop 40. Explain the basics of it, what

0:38:37.270 --> 0:38:39.430
<v Speaker 4>the proposal is, and then we can get into some

0:38:39.690 --> 0:38:40.890
<v Speaker 4>very recent case studies.

0:38:41.260 --> 0:38:41.550
<v Speaker 6>Of course.

0:38:41.660 --> 0:38:44.420
<v Speaker 13>So it's been the better part of my year covering

0:38:44.480 --> 0:38:47.600
<v Speaker 13>Prop 40 already. So it's actually glad seeing the endgame

0:38:48.780 --> 0:38:52.279
<v Speaker 13>on Tuesday. Prop 40 is a one-time tax, a one-time 5%

0:38:52.280 --> 0:38:54.529
<v Speaker 13>tax on the net worth of the state's billionaires. It

0:38:54.550 --> 0:38:58.290
<v Speaker 13>affects billionaires that have lived in California since January 1st, 2026.

0:38:58.290 --> 0:39:00.390
<v Speaker 13>So moving now doesn't actually change.

0:39:00.330 --> 0:39:01.310
<v Speaker 1>The fact that you have to pay the tax.

0:39:02.020 --> 0:39:05.540
<v Speaker 13>And it basically encompasses all your wealth with some exceptions,

0:39:05.560 --> 0:39:09.620
<v Speaker 13>especially in real estate, but it would include artwork or

0:39:10.969 --> 0:39:15.690
<v Speaker 13>whatever illiquid stocks you have. It would impact your illiquid positions,

0:39:15.930 --> 0:39:18.150
<v Speaker 13>and it would obviously then directly impact some of the

0:39:18.190 --> 0:39:22.270
<v Speaker 13>wealthiest people in the world, including Zuckerberg, including Sergey.

0:39:22.030 --> 0:39:23.530
<v Speaker 2>Brin, Larry Page.

0:39:23.850 --> 0:39:26.230
<v Speaker 13>A lot of those have taken steps to distance themselves

0:39:26.250 --> 0:39:27.910
<v Speaker 13>from California and actually don't.

0:39:27.930 --> 0:39:29.890
<v Speaker 4>You and I were at the desk together looking at this,

0:39:30.020 --> 0:39:33.500
<v Speaker 4>class uh c of meta shares and the idea that

0:39:33.520 --> 0:39:36.339
<v Speaker 4>it was put there to give mr zuckerberg liquidity to

0:39:36.400 --> 0:39:39.589
<v Speaker 4>cover a potential tax bill actually even this morning the

0:39:39.630 --> 0:39:42.790
<v Speaker 4>team has broken some news on another billionaire that might

0:39:42.850 --> 0:39:44.410
<v Speaker 4>be thinking about what to do.

0:39:44.350 --> 0:39:48.140
<v Speaker 13>Here So yeah, Josh Sisko and Paige Smith broke news

0:39:48.200 --> 0:39:51.160
<v Speaker 13>on Max Levchin, a firm CEO and also a billionaire,

0:39:51.520 --> 0:39:54.900
<v Speaker 13>who is contemplating moving out of California if the tax passes.

0:39:55.200 --> 0:39:55.939
<v Speaker 1>Wow.

0:39:56.280 --> 0:39:58.060
<v Speaker 13>One of his arguments, and it's an argument that we're

0:39:58.080 --> 0:40:01.140
<v Speaker 13>seeing reflected in the Zuckerberg debate you and I follow

0:40:01.160 --> 0:40:06.050
<v Speaker 13>very closely, is this idea of having to divest yourself

0:40:06.090 --> 0:40:07.770
<v Speaker 13>from the company you helped found.

0:40:07.890 --> 0:40:08.170
<v Speaker 7>Yes.

0:40:08.270 --> 0:40:10.750
<v Speaker 13>Like Max said, he would have to sell some of

0:40:10.770 --> 0:40:13.080
<v Speaker 13>his founder shares to cover the tax. Yes. And he

0:40:13.100 --> 0:40:17.600
<v Speaker 13>was also pointing out that especially for illiquid instruments, it's

0:40:17.660 --> 0:40:20.089
<v Speaker 13>really hard to actually put a price and sell them

0:40:20.120 --> 0:40:25.370
<v Speaker 13>without creating a cascading of effects in how founders are

0:40:25.390 --> 0:40:28.230
<v Speaker 13>attached to the company or in the incentives package, right?

0:40:29.610 --> 0:40:30.950
<v Speaker 1>But it's also about voting control, right?

0:40:30.969 --> 0:40:32.810
<v Speaker 4>You were saying I have to sell a certain class

0:40:32.850 --> 0:40:36.219
<v Speaker 4>of shares to get liquidity and an indirect result of that.

0:40:36.239 --> 0:40:38.120
<v Speaker 13>How do I do that without losing voting control of

0:40:38.140 --> 0:40:40.020
<v Speaker 13>the company, right?

0:40:40.120 --> 0:40:42.660
<v Speaker 4>It's not the only tech consideration in this cycle. We

0:40:42.680 --> 0:40:45.190
<v Speaker 4>just got about a minute left, Felipe. But what else

0:40:45.210 --> 0:40:47.650
<v Speaker 4>is the team so focused on that's on the ballot?

0:40:47.670 --> 0:40:47.750
<v Speaker 7>Yeah.

0:40:48.410 --> 0:40:51.330
<v Speaker 13>So we, I mean, we are obviously looking at Proposition 40,

0:40:51.330 --> 0:40:53.509
<v Speaker 13>but as you pointed out before, we're also looking at

0:40:53.570 --> 0:40:57.489
<v Speaker 13>data center restrictions. We are also looking here specifically in

0:40:57.530 --> 0:41:00.340
<v Speaker 13>California at the governor's race. There's not a lot of,

0:41:00.890 --> 0:41:03.890
<v Speaker 13>let's just say the polls show a clear front runner

0:41:03.930 --> 0:41:06.310
<v Speaker 13>on that, but there's been a lot of tech money

0:41:06.350 --> 0:41:08.370
<v Speaker 13>pouring into that front runner. So we're probably going to

0:41:08.410 --> 0:41:13.759
<v Speaker 13>see a very symbiotic relationship between tech and whoever gets elected.

0:41:14.180 --> 0:41:17.580
<v Speaker 13>We're also seeing some tech money pouring into like local races.

0:41:17.640 --> 0:41:20.009
<v Speaker 13>I mean, it's Even today, we had a story about

0:41:20.070 --> 0:41:23.110
<v Speaker 13>how Anthropic is also helping fund BART, which is our

0:41:23.150 --> 0:41:24.390
<v Speaker 13>public transportation system.

0:41:24.410 --> 0:41:25.210
<v Speaker 1>Here in the city, yeah.

0:41:25.230 --> 0:41:28.160
<v Speaker 13>Yes, who has a big budget hole that needs filling.

0:41:28.680 --> 0:41:30.980
<v Speaker 13>And we're looking to raise sales taxes in California, which

0:41:31.000 --> 0:41:33.720
<v Speaker 13>you already know are very, very high.

0:41:33.900 --> 0:41:35.219
<v Speaker 1>In this state, sure.

0:41:35.620 --> 0:41:39.799
<v Speaker 13>And the idea is to fund a campaign to raise

0:41:39.840 --> 0:41:42.689
<v Speaker 13>sales taxes to... protect BART so workers can.

0:41:42.630 --> 0:41:43.490
<v Speaker 1>Actually get to the office.

0:41:43.710 --> 0:41:46.430
<v Speaker 4>Bloomberg's VP Marques will be here over the next days

0:41:46.510 --> 0:41:49.710
<v Speaker 4>and week covering catch up Bloomberg specials coverage of the

0:41:49.730 --> 0:41:52.530
<v Speaker 4>midterm elections tomorrow. That starts at 7 p.m.

0:41:52.850 --> 0:41:53.430
<v Speaker 1>New York time.

0:41:53.450 --> 0:41:55.830
<v Speaker 4>That does it for this edition of Bloomberg Tech. We

0:41:55.870 --> 0:41:59.710
<v Speaker 4>are rebounding in equity markets up modestly on the Nasdaq

0:41:59.710 --> 0:42:02.870
<v Speaker 4>100 semiconductors under pressure. Apple earnings after the bell are

0:42:02.910 --> 0:42:05.450
<v Speaker 4>a big factor here. Recap the show on the podcast.

0:42:05.550 --> 0:42:09.379
<v Speaker 4>Such wide ranging conversations. So much news from Bloomberg. This

0:42:09.520 --> 0:42:10.500
<v Speaker 4>is Bloomberg Tech.