WEBVTT - Neocloud Concerns Return After Elice Selloff

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<v Speaker 1>Bloomberg Audio Studios.

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<v Speaker 2>Podcasts. Radio.

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<v Speaker 3>News.

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<v Speaker 4>Bloomberg Tech is live from the heart of Silicon Valley

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<v Speaker 4>with Ed Ludlow in San Francisco.

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<v Speaker 3>This is Bloomberg Tech.

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<v Speaker 5>Coming up, South Korea data center firm Ellis plunges 32%

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<v Speaker 5>in its market debut, soaking fears about the billions being

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<v Speaker 5>poured into AI infrastructure. Bloomberg Plus, Anthropic's in talks with

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<v Speaker 5>Nscale for a massive new computing deal that could be

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<v Speaker 5>worth as much as $ 45 billion. And Eric Schmidt's early

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<v Speaker 5>Anthropic bet could pay off big with a stake worth

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<v Speaker 5>as much as $ 20 billion if Anthropic hits a $ 2

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<v Speaker 5>trillion IPO valuation. It is absolutely all changed. The first

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<v Speaker 5>hour of the session, chip stocks down, tech stocks down,

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<v Speaker 5>brought it one point. The SOX was down two and

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<v Speaker 5>a half percent and trading in its lowest level since

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<v Speaker 5>late July. In the last hour, complete reversal of that

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<v Speaker 5>tech stocks pushing higher. Chip stocks in particular rebounded now

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<v Speaker 5>up one percent. It was a sell off in chip

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<v Speaker 5>stocks and technology that stemmed from a concern around neoclouds.

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<v Speaker 5>South Korean data center firm Ellis plunged 32% in its

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<v Speaker 5>market debut, the country's worst opening day for a sizable

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<v Speaker 5>IPO on record, reviving concerns about the billions being poured

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<v Speaker 5>into AI infrastructure. Bloomberg's Peter Elstrom is with us. Everyone

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<v Speaker 5>is reading about this this morning. What on earth happened

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<v Speaker 5>with this Ellis IPO?

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<v Speaker 6>Yeah, it's amazing how many times we've been talking about

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<v Speaker 6>South Korea in this AI boom and where we're seeing

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<v Speaker 6>a lot of these issues emanate from it.

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<v Speaker 2>This time, it's not Samsung. It's not SK Hynix.

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<v Speaker 6>It's this company, as you were mentioning, this little data

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<v Speaker 6>center company called Elise. So they had their IPO. They

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<v Speaker 6>actually priced it pretty well. They raised a bit more money.

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<v Speaker 6>They raised at the top of the range.

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<v Speaker 2>And got about $ 150 million.

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<v Speaker 6>But as they began trading, shares traded down very hard.

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<v Speaker 6>They were down as you As you said, more than

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<v Speaker 6>30 percent. They closed down 32 percent. Now, this is

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<v Speaker 6>part of this concern about what's going on with the

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<v Speaker 6>neocloud push at this point in the build out. This

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<v Speaker 6>is more than three's a trend. You've got Firmus, of course,

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<v Speaker 6>the data center company in Australia that had to pull

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<v Speaker 6>their IPO. You have these troubles with CoreWeave that we've

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<v Speaker 6>been detailing in quite a bit. SB Energy had to

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<v Speaker 6>pull back on their valuation. And also we've heard that

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<v Speaker 6>Nscale is probably not going to be able to hit

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<v Speaker 6>the valuation that it wants as it goes public. So

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<v Speaker 6>they're adding up at this point, but this time it

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<v Speaker 6>was this surprising trigger coming out of South Korea and

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<v Speaker 6>this company, Elise.

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<v Speaker 3>You know, I think you're exactly right. It's actually an aggregate.

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<v Speaker 5>Everyone's thinking about this sort of change sentiment to Neoclouds.

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<v Speaker 5>They've lost faith. So park the quite small South Korean

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<v Speaker 5>company to one side for a minute. There is still

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<v Speaker 5>in Asia, in Asia trading, this lack of faith. And

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<v Speaker 5>that spilled over into the U.S. What else can you

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<v Speaker 5>tell us, Peter?

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<v Speaker 6>I think in particular, there are concerns about the financing

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<v Speaker 6>behind some of these smaller companies. These are not concerns

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<v Speaker 6>about OpenAI or Anthropic or Google for that matter, but

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<v Speaker 6>these are the smaller companies that have gotten pretty creative

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<v Speaker 6>with the financing.

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<v Speaker 2>We've talked about the circular financing.

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<v Speaker 6>Nscale, of course, is one of those examples where NVIDIA

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<v Speaker 6>has backed the company, they have a 10% stake in

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<v Speaker 6>the company, and Nscale is a huge customer for NVIDIA too.

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<v Speaker 6>So there's a lot of financial incentive for companies like

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<v Speaker 6>NVIDIA to sprinkle their money within the system to be

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<v Speaker 6>able to increase sales.

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<v Speaker 2>And get these build-outs done.

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<v Speaker 6>But now investors are questioning whether that's going to get

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<v Speaker 6>across the line. And as we detailed in the story

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<v Speaker 6>on Nscale that we talked about, Before, they've had a

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<v Speaker 6>hard time executing here. The issue is not getting contracts

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<v Speaker 6>like the one that they may be able to get

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<v Speaker 6>with Anthropic here, but their issue is they have to

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<v Speaker 6>be able to get power connected to these sites. They

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<v Speaker 6>have to be able to get the financing for the GPUs,

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<v Speaker 6>and then they have to be able to build the buildings.

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<v Speaker 6>Execution right now is really top of mind for investors.

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<v Speaker 3>Bloomberg's Peter Elstrom, thank you very much.

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<v Speaker 5>And even as investors question this AI infrastructure boom, the

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<v Speaker 5>deals keep getting bigger.

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<v Speaker 3>Some new details.

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<v Speaker 5>Anthropic is in talks with Nscale for a massive new

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<v Speaker 5>computing deal that could be worth as much as $ 45 billion,

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<v Speaker 5>all according to sources. Bloomberg's Bailey Lipschultz broke this story

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<v Speaker 5>last night. It is new because there's an existing relationship

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<v Speaker 5>between Nscale and Anthropic. And it is counter to some

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<v Speaker 5>of the other reporting we've done earlier in the week.

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<v Speaker 5>But let's start with what's new. What do we need

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<v Speaker 5>to know about this deal? And the big thing to

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<v Speaker 5>keep in mind is this is for their Monarch campus.

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<v Speaker 5>And people at first, when we broke the story yesterday,

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<v Speaker 5>were like, wait, wasn't this already announced? No, this is

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<v Speaker 5>a campus that has three buildings. So the first building

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<v Speaker 5>was inked in a partnership with Anthropic, a similar nominal announcement.

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<v Speaker 3>That was back in August.

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<v Speaker 7>Our reporting is that Anthropic is in talks for a

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<v Speaker 7>similar deal for the second building in West Virginia. And

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<v Speaker 7>they also have a right of first refusal for that

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<v Speaker 7>third building. So to your point, this is a big deal.

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<v Speaker 7>This is a big potential contract for N scale at

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<v Speaker 7>a time when we've been writing ad nauseum about the

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<v Speaker 7>neoclouds and kind of whether they deserve to exist or

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<v Speaker 7>continue to grow. Well, All signs point towards a potentially

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<v Speaker 7>big announcement coming from Nscale that they are leaning further

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<v Speaker 7>into that partnership with Anthropic, again, just a few days

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<v Speaker 7>after Microsoft.

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<v Speaker 3>Walked away from a pact on the other side of

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<v Speaker 3>the pond.

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<v Speaker 5>In the background, an Nscale IPO is in limbo based

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<v Speaker 5>on our reporting, right? You were on the show 24

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<v Speaker 5>hours ago telling us that Nscale sees itself at one

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<v Speaker 5>valuation and a group of investors are saying, no, significantly lower.

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<v Speaker 5>Remind us of that and where they stand in this IPO.

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<v Speaker 7>So our reporting over the weekend was that N scale

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<v Speaker 7>is having some investors push back and say you're worth

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<v Speaker 7>between $ 16 and $ 19 billion. That stands opposite of the

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<v Speaker 7>management kind of vocal push towards a $ 30 billion valuation.

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<v Speaker 7>So quite the discrepancy when we're talking about a 40% haircut.

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<v Speaker 7>give or take there and what that does or doesn't mean,

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<v Speaker 7>not only for the company, but for longer term private investors.

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<v Speaker 7>The interesting thing, Ed, when I talked to folks about

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<v Speaker 7>our story yesterday is how does this ultimately impact the

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<v Speaker 7>math for say 2029 or 2030 EBIT and how that

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<v Speaker 7>could kind of potentially be ascribed to a higher valuation

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<v Speaker 7>that puts and takes still come back to the need

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<v Speaker 7>for N scale to actually build Monarch One in the

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<v Speaker 7>second building.

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<v Speaker 3>That's the big risk.

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<v Speaker 7>It seems like Wall Street and management teams are seeing

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<v Speaker 7>it differently in how you actually can discount whether or

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<v Speaker 7>not these are really projects that will be fully online

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<v Speaker 7>in a few years and actually delivering the promised compute

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<v Speaker 7>that are in some of these deals.

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<v Speaker 5>Nscales public filing was September 18th. Today is October the 20th.

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<v Speaker 5>What's going on in this interim period?

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<v Speaker 7>We're expecting the company to refile updated S1. So that

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<v Speaker 7>would put the ball back in the SEC's court. Whether

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<v Speaker 7>that details this contract, whether it details something else, we

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<v Speaker 7>do not know. But they need to clear those SEC

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<v Speaker 7>comments before they can begin marketing the deal.

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<v Speaker 3>Then really, you say about a week from there.

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<v Speaker 7>The clock is ticking because, again, we sit here on Tuesday.

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<v Speaker 7>In two weeks, we will have a midterm election. This

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<v Speaker 7>is a company that does not want to go publicly.

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<v Speaker 2>The week of midterms.

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<v Speaker 7>So really needs to get on file potentially this week

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<v Speaker 7>and start that roadshow. Otherwise, all signs would point towards

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<v Speaker 7>potentially being held up until December. I say potentially because, again,

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<v Speaker 7>our reporting report, our reporting focuses on Anthropic wanting to

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<v Speaker 7>go public before Thanksgiving. So a lot of moving parts

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<v Speaker 7>and a really crowded calendar.

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<v Speaker 5>Bloomberg's Bailey Lipschultz, thank you very much.

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<v Speaker 3>Step back from those headlines.

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<v Speaker 5>The common thread is financing, huge upfront capital needs, higher

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<v Speaker 5>borrowing costs, construction delays, revenues that may sit years in

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<v Speaker 5>the future.

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<v Speaker 3>And that matters because.

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<v Speaker 5>The AI build out is increasingly shifted from cash funded

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<v Speaker 5>CapEx toward debt funded CapEx. Our next guest writes that

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<v Speaker 5>this shift will keep volatility elevated and the AI balance

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<v Speaker 5>sheet's are no longer created equally. Stephanie Aliaga is global

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<v Speaker 5>market strategist at JPMorgan Asset Management.

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<v Speaker 3>That was dramatic.

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<v Speaker 5>But across the news headlines of last week, the movement

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<v Speaker 5>in credit markets, what Bailey just outlined in that report,

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<v Speaker 5>where do you net out in how deep the concern

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<v Speaker 5>is in the health of this neocloud sector?

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<v Speaker 4>Absolutely, I mean, one thing absolutely top of mind right

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<v Speaker 4>now is that the AI build out is not immune

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<v Speaker 4>to the climate interest rates. And we are seeing that

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<v Speaker 4>tighter financing conditions are having a toll in some of

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<v Speaker 4>the more riskier and levered parts of this AI build out.

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<v Speaker 4>And so I think a lot of what we're seeing

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<v Speaker 4>in spreads, yes, there is a degree of this neocloud

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<v Speaker 4>situation becoming the focal point for AI anxieties that have

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<v Speaker 4>been bubbling up over the course of this whole year.

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<v Speaker 4>But it's also a reflection that we should probably reprice

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<v Speaker 4>the risk around these companies given that higher financing costs

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<v Speaker 4>do challenge some of the economics around these players.

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<v Speaker 1>That doesn't mean that they're all going to go bust.

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<v Speaker 1>And it could be that there's.

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<v Speaker 4>Maybe more pessimism than optimism priced into some of these

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<v Speaker 4>CDS spreads, just given some of the inherent uncertainties here.

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<v Speaker 4>But it is a reflection of just growing drag from

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<v Speaker 4>higher interest rates on this AI build-out.

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<v Speaker 5>Some of that pessimism stems from a Gartner report that

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<v Speaker 5>was published October 14th, where they said expected spending this

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<v Speaker 5>year $ 1 trillion, and then $ 6 trillion between 27 and 30,

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<v Speaker 5>the end of the decade. So seven in aggregate. but

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<v Speaker 5>the expected revenues generated, 3.6 trillion. So they see a

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<v Speaker 5>mismatch and they expect write downs, particularly in the neo-clouds, right?

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<v Speaker 5>Is that something that you modeling for too, JP Morgan

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<v Speaker 5>Asset Management?

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<v Speaker 4>I will say there is an inherent uncertainty that as

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<v Speaker 4>this AI build-out grows and grows, the hurdle that you

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<v Speaker 4>have to reach in terms of ROI, just mathematically, is

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<v Speaker 4>a bit more difficult. Our estimates put that somewhere between

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<v Speaker 4>$ 100 to $ 300 a month per paying user. And that

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<v Speaker 4>is up from a year and change ago, that was

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<v Speaker 4>like $ 50. So that hurdle has moved higher. Now, the

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<v Speaker 4>demand environment for AI has also changed enormously and continues

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<v Speaker 4>to look very constructive.

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<v Speaker 1>But the reality is, the proceeds.

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<v Speaker 4>The revenue generation, the monetization of AI is not.

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<v Speaker 1>Going to be shared evenly.

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<v Speaker 4>But in the near term, as we do look at

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<v Speaker 4>an AI build out that is continuing to grow and

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<v Speaker 4>shows a lot of durability, all of that spend should

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<v Speaker 4>be directed to various different pieces of this AI infrastructure wave.

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<v Speaker 4>So we do think AI enablers are going to continue

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<v Speaker 4>to account for the lion's share, roughly 75% of earnings

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<v Speaker 4>growth next year.

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<v Speaker 3>The pessimism is also not universal, right?

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<v Speaker 5>Goldman upgraded Corweave, saying that the debt concern was overdone.

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<v Speaker 5>And I think at the beginning of this conversation, we

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<v Speaker 5>pointed out not all balance sheets are the same. You know,

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<v Speaker 5>Corweave is in a very different position than some of

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<v Speaker 5>the other neoclouds. You know, Bailey just brought you the reporting. Nscale,

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<v Speaker 5>potentially an additional $ 45 billion of capacity with Anthropic. How

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<v Speaker 5>closely do you kind of track the progress of those

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<v Speaker 5>kinds of deals, those commercial agreements?

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<v Speaker 4>Yeah. I mean, I think violent moves in some of

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<v Speaker 4>these debt and CDS spreads as of late don't necessarily

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<v Speaker 4>tie cleanly to the fundamentals.

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<v Speaker 1>In reality, the interwovenness.

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<v Speaker 4>Of this AI ecosystem can actually be a benefit to

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<v Speaker 4>some of these players too. If you have some of

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<v Speaker 4>these players that are a bit weaker, they're having more

0:11:16.010 --> 0:11:19.720
<v Speaker 4>challenges in raising funds, they can be supported by their

0:11:19.890 --> 0:11:25.180
<v Speaker 4>much meatier, stronger AI balance sheets across this AI build-out

0:11:25.220 --> 0:11:26.720
<v Speaker 4>through the strength of these partnerships.

0:11:27.140 --> 0:11:29.120
<v Speaker 1>So that's one thing I think to keep in mind here.

0:11:29.240 --> 0:11:33.770
<v Speaker 4>So long as the overall pie of AI revenue growth

0:11:34.130 --> 0:11:37.929
<v Speaker 4>continues to grow really strongly, it really diminishes the risk

0:11:37.970 --> 0:11:40.959
<v Speaker 4>of massive upsets and even some of these smaller, more

0:11:41.020 --> 0:11:45.500
<v Speaker 4>fringe players. Ultimately, leverage in and of itself isn't a

0:11:45.520 --> 0:11:48.179
<v Speaker 4>bad thing, but it is a riskier thing. So some

0:11:48.210 --> 0:11:51.430
<v Speaker 4>of this repricing is rational again, but on the other side,

0:11:51.470 --> 0:11:54.090
<v Speaker 4>there is probably some room for optimism to reenter the

0:11:54.150 --> 0:11:57.330
<v Speaker 4>equation once we hear more about the demand picture of AI,

0:11:57.670 --> 0:12:02.100
<v Speaker 4>once we hear progress around the build-out itself, and just

0:12:02.500 --> 0:12:05.120
<v Speaker 4>a clearer picture of what the economics of the data

0:12:05.140 --> 0:12:06.179
<v Speaker 4>center build-out are going to look like.

0:12:06.700 --> 0:12:08.560
<v Speaker 5>I mean, to draw a line under the credit story,

0:12:08.600 --> 0:12:11.939
<v Speaker 5>the CallWeave 2032 notes hit a yield of 15% distress.

0:12:12.000 --> 0:12:13.920
<v Speaker 5>But like at the beginning of October, 20 days ago,

0:12:13.940 --> 0:12:16.320
<v Speaker 5>they were at 13%. So I feel like the credit

0:12:16.360 --> 0:12:18.420
<v Speaker 5>markets knew about that. A lot of what's in the

0:12:18.480 --> 0:12:23.410
<v Speaker 5>news cycle is IPOs around the world going badly, being postponed.

0:12:23.830 --> 0:12:26.590
<v Speaker 5>And then Anthropic is the big like, we're all waiting

0:12:26.630 --> 0:12:29.970
<v Speaker 5>for that. What do you see in investor appetite for

0:12:29.990 --> 0:12:30.730
<v Speaker 5>these IPOs?

0:12:30.970 --> 0:12:31.110
<v Speaker 8>Yeah.

0:12:31.600 --> 0:12:35.359
<v Speaker 4>These IPOs are very key because sentiment is a very

0:12:35.460 --> 0:12:38.640
<v Speaker 4>powerful thing in this market. You have a lot running

0:12:38.760 --> 0:12:41.760
<v Speaker 4>on AI and a lot of high momentum parts of

0:12:41.800 --> 0:12:44.809
<v Speaker 4>this market. However, it's also really important to take a

0:12:44.830 --> 0:12:47.790
<v Speaker 4>step back and to just look at the broader fundamentals

0:12:47.850 --> 0:12:50.830
<v Speaker 4>of this AI wave, the earnings growth at play, the

0:12:50.929 --> 0:12:53.670
<v Speaker 4>strength of these players are very much important. need to

0:12:53.690 --> 0:12:57.099
<v Speaker 4>go public so we have clear visibility around the financials

0:12:57.150 --> 0:13:00.580
<v Speaker 4>of these massively important ai companies and the build out

0:13:00.820 --> 0:13:03.800
<v Speaker 4>i think we will get um you know those companies

0:13:03.840 --> 0:13:07.120
<v Speaker 4>going public but the details around all of this are

0:13:07.160 --> 0:13:09.560
<v Speaker 4>absolutely going to be scrutinized and i think the reality

0:13:09.679 --> 0:13:12.530
<v Speaker 4>is you know there is this air of uncertainty of

0:13:12.770 --> 0:13:16.230
<v Speaker 4>we don't know what some of these model labs ultimately

0:13:16.290 --> 0:13:19.570
<v Speaker 4>mean for the broader ai ecosystem until we have that

0:13:19.610 --> 0:13:22.990
<v Speaker 4>visibility into their earnings However, I think on the debt

0:13:23.200 --> 0:13:27.860
<v Speaker 4>and the equity, markets do seem very well equipped to

0:13:28.020 --> 0:13:30.730
<v Speaker 4>absorb all of this new AI issuance. And that is

0:13:30.760 --> 0:13:32.410
<v Speaker 4>something that is important not to lose sight of.

0:13:34.030 --> 0:13:35.630
<v Speaker 3>Stephanie, what happens next?

0:13:36.150 --> 0:13:39.150
<v Speaker 5>Well, literally the midterms happen next, but I mean, what

0:13:39.200 --> 0:13:41.559
<v Speaker 5>is it that you've got in your market outlook right now?

0:13:41.980 --> 0:13:43.840
<v Speaker 1>We're not too worried about the midterms, I will say.

0:13:43.920 --> 0:13:46.140
<v Speaker 4>These are kind of more noise than I think the

0:13:46.179 --> 0:13:49.560
<v Speaker 4>fundamental drivers of this build-out. Look, this earnings season is

0:13:49.600 --> 0:13:51.840
<v Speaker 4>going to give us a lot of clarity around how

0:13:51.860 --> 0:13:57.290
<v Speaker 4>we're tracking around AI revenues, the monetization of the build-out overall. Also,

0:13:57.330 --> 0:14:00.570
<v Speaker 4>we're going to get visibility into the personal AI assisting

0:14:00.590 --> 0:14:03.330
<v Speaker 4>craze this week and what that's meant for some certain

0:14:03.370 --> 0:14:06.429
<v Speaker 4>applications like Muse. And I think all of this is

0:14:06.450 --> 0:14:08.510
<v Speaker 4>gonna give investors a lot to digest, could give us

0:14:08.570 --> 0:14:10.929
<v Speaker 4>more good news around this AI build out to calm

0:14:10.950 --> 0:14:14.090
<v Speaker 4>some of these jitters. I think that's gonna be really key.

0:14:14.530 --> 0:14:16.709
<v Speaker 4>And then again, just looking at the long term, and

0:14:16.750 --> 0:14:19.050
<v Speaker 4>that's something that we've been talking about a lot from

0:14:19.070 --> 0:14:21.110
<v Speaker 4>JP Morgan this week with the launch of our long

0:14:21.130 --> 0:14:25.100
<v Speaker 4>term capital market assumptions, we do see AI contributing to

0:14:25.180 --> 0:14:29.600
<v Speaker 4>this structural climb in productivity, which should allow this economy

0:14:29.620 --> 0:14:32.060
<v Speaker 4>to grow at an above-trend rate of growth. And that's

0:14:32.100 --> 0:14:33.980
<v Speaker 4>a bit of this rising tide lifting all ships. It's

0:14:34.000 --> 0:14:35.760
<v Speaker 4>not going to be smooth sailing. There's going to be

0:14:35.780 --> 0:14:39.020
<v Speaker 4>bumps along the way. But long-term investors should maintain that outlook.

0:14:40.160 --> 0:14:43.920
<v Speaker 5>Stephanie Aliaga of JPMorgan Asset Management. Really grateful for a

0:14:43.960 --> 0:14:47.560
<v Speaker 5>really broad conversation. A lot of news headlines today. Coming

0:14:47.580 --> 0:14:48.480
<v Speaker 5>up in the show, we're going to take a look

0:14:48.500 --> 0:14:51.100
<v Speaker 5>at SpaceX, ahead of earnings, which, of course, come after

0:14:51.120 --> 0:14:51.960
<v Speaker 5>the market close.

0:14:52.320 --> 0:14:53.220
<v Speaker 3>This is Bloomberg Tech.

0:15:00.960 --> 0:15:03.020
<v Speaker 5>An early bet on Anthropic could be about to pay

0:15:03.060 --> 0:15:06.120
<v Speaker 5>off big time for former Google CEO Eric Schmidt. According

0:15:06.160 --> 0:15:09.930
<v Speaker 5>to sources, the former Google exec owns around 1% of

0:15:10.070 --> 0:15:13.070
<v Speaker 5>Anthropic from early investments, a state that could be worth

0:15:13.350 --> 0:15:16.870
<v Speaker 5>as much as $ 20 billion if Anthropic goes public at

0:15:16.910 --> 0:15:20.070
<v Speaker 5>a $ 2 trillion valuation. Bloomberg's Natasha Mascarenhas broke the story.

0:15:20.470 --> 0:15:21.130
<v Speaker 3>And is with us.

0:15:21.410 --> 0:15:23.840
<v Speaker 5>And it kind of reflects some of the early investment

0:15:23.880 --> 0:15:26.440
<v Speaker 5>history that Anthropic has, the types of people that got in.

0:15:26.640 --> 0:15:27.580
<v Speaker 3>Give me the story.

0:15:27.680 --> 0:15:30.700
<v Speaker 8>Yeah, I mean, listen, up until 2023, Anthropic did not

0:15:30.760 --> 0:15:33.620
<v Speaker 8>have any of those big name institutional investors that you

0:15:33.660 --> 0:15:37.880
<v Speaker 8>and me are often talking about. Sequoia Capitals, Dragoneers, Iconics,

0:15:37.920 --> 0:15:41.230
<v Speaker 8>they all came in relatively late. The first three rounds

0:15:41.250 --> 0:15:45.210
<v Speaker 8>were actually mostly angels and high net worth individuals. Eric Schmidt,

0:15:45.270 --> 0:15:49.570
<v Speaker 8>his first investment, I mean, tens of millions, $ 461 million valuation,

0:15:49.590 --> 0:15:51.170
<v Speaker 8>and now we're looking at a $ 1.

0:15:50.770 --> 0:15:52.500
<v Speaker 1>8 trillion IPO.

0:15:52.840 --> 0:15:54.600
<v Speaker 8>Pretty good individual return there.

0:15:55.140 --> 0:15:56.460
<v Speaker 3>Pretty good individual return.

0:15:56.520 --> 0:15:59.620
<v Speaker 5>It's also interesting, right, because he continues to have an

0:15:59.820 --> 0:16:04.920
<v Speaker 5>affiliation with Google. Google is a frontier lab to all

0:16:04.960 --> 0:16:09.480
<v Speaker 5>intents and purposes. How normal or atypical is it for

0:16:09.500 --> 0:16:13.530
<v Speaker 5>a 1% stake in a company of like Anthropic scale.

0:16:13.570 --> 0:16:16.130
<v Speaker 5>Now I get it's paper, right? It depends how the

0:16:16.190 --> 0:16:16.770
<v Speaker 5>IPO goes.

0:16:16.810 --> 0:16:17.310
<v Speaker 9>Totally.

0:16:17.810 --> 0:16:19.910
<v Speaker 5>Is he like one of one or are there others

0:16:20.050 --> 0:16:20.690
<v Speaker 5>in that profile?

0:16:20.810 --> 0:16:22.109
<v Speaker 1>I would say he's one of few, right?

0:16:22.130 --> 0:16:25.130
<v Speaker 8>I mean, we know the co-founders of Anthropic are very

0:16:25.210 --> 0:16:28.270
<v Speaker 8>much expected to also net out billions of billions of

0:16:28.960 --> 0:16:32.520
<v Speaker 8>returns themselves. But when it comes to the individual, this

0:16:32.580 --> 0:16:35.040
<v Speaker 8>is a seat that investors usually like to play. And

0:16:35.080 --> 0:16:37.620
<v Speaker 8>so For an individual to have this is rare. For

0:16:37.660 --> 0:16:39.980
<v Speaker 8>Eric Schmidt to have this is rare. I mean, he

0:16:40.400 --> 0:16:43.060
<v Speaker 8>has made many investments before in companies.

0:16:42.720 --> 0:16:44.729
<v Speaker 1>That you and me cover and follow.

0:16:44.750 --> 0:16:48.410
<v Speaker 8>But Anthropic is by far the most prominent private investment

0:16:48.430 --> 0:16:49.990
<v Speaker 8>we've seen him make in a very long time.

0:16:50.030 --> 0:16:53.350
<v Speaker 5>This is absolutely something everybody is reading about this morning.

0:16:53.410 --> 0:16:57.150
<v Speaker 5>Catch it on the terminal and on Bloomberg.com. Bloomberg's Natasha Mascarenas.

0:16:57.500 --> 0:16:59.120
<v Speaker 5>Thank you very much. Coming up, we're going to take

0:16:59.140 --> 0:17:01.320
<v Speaker 5>a look at SpaceX, ahead of earnings which come after

0:17:01.340 --> 0:17:02.140
<v Speaker 5>the market close.

0:17:02.480 --> 0:17:03.340
<v Speaker 3>This is Bloomberg Tech.

0:17:03.520 --> 0:17:03.820
<v Speaker 10>Thank you.

0:17:18.130 --> 0:17:20.810
<v Speaker 5>SpaceX's third quarter earnings will be out after the bell

0:17:20.850 --> 0:17:23.250
<v Speaker 5>later today. The report comes after sending a new crew

0:17:23.290 --> 0:17:26.230
<v Speaker 5>into space, helping Tesla show off a rocket powered car,

0:17:26.750 --> 0:17:30.949
<v Speaker 5>all while pouring billions into AI infrastructure. Bloomberg Intelligence's Mandeep

0:17:30.990 --> 0:17:34.610
<v Speaker 5>Singh and George Ferguson are here for the preview roundtable.

0:17:34.730 --> 0:17:35.650
<v Speaker 3>Mandeep, I'll start with you.

0:17:36.050 --> 0:17:41.720
<v Speaker 5>SpaceX is a quasi neocloud, a frontier lab. and it

0:17:41.780 --> 0:17:44.889
<v Speaker 5>has a chatbot and an AI agent. And I'll go

0:17:44.930 --> 0:17:47.190
<v Speaker 5>to you first to tell me what we expect to

0:17:47.260 --> 0:17:49.440
<v Speaker 5>be told about that tonight from SpaceX.

0:17:50.150 --> 0:17:52.840
<v Speaker 10>Yeah, look, they do have a lot of contracts when

0:17:52.900 --> 0:17:56.060
<v Speaker 10>it comes to renting the compute capacity, and they have

0:17:56.119 --> 0:17:59.000
<v Speaker 10>given us guidance for $ 100 billion in ARR by the

0:17:59.060 --> 0:18:01.980
<v Speaker 10>end of the year. So from that perspective, I do

0:18:02.020 --> 0:18:05.670
<v Speaker 10>think they have visibility into that ARR. But the key

0:18:05.690 --> 0:18:09.130
<v Speaker 10>question is, how much is going to be the 2027

0:18:09.130 --> 0:18:13.150
<v Speaker 10>CapEx number? And given all the jitters we have seen

0:18:13.210 --> 0:18:18.440
<v Speaker 10>with CoreWeave, how will investors look at a 150 billion

0:18:18.500 --> 0:18:22.380
<v Speaker 10>plus capex number for someone like SpaceX, given they don't

0:18:22.420 --> 0:18:25.200
<v Speaker 10>have the operating cash flow that the other hyperscalers have.

0:18:26.290 --> 0:18:30.129
<v Speaker 5>Q2 CapEx was 18.4 billion. The expectation on consensus is

0:18:30.130 --> 0:18:35.669
<v Speaker 5>19.6 billion CapEx for this quarter. George, SpaceX, it's a

0:18:35.869 --> 0:18:40.109
<v Speaker 5>space company, rocket company. That's the bit you're modeling for.

0:18:40.369 --> 0:18:42.869
<v Speaker 5>And I look at the breakdown of revenues and space

0:18:43.350 --> 0:18:47.929
<v Speaker 5>is the third bucket way behind AI and connectivity.

0:18:48.520 --> 0:18:49.280
<v Speaker 3>What are you looking for?

0:18:50.300 --> 0:18:54.060
<v Speaker 11>Yeah, so like you said, it sounds like a space company,

0:18:54.080 --> 0:18:55.939
<v Speaker 11>but I'd say it's not a space company.

0:18:56.790 --> 0:18:58.020
<v Speaker 12>It's all about sort of that.

0:18:57.970 --> 0:19:01.179
<v Speaker 11>AI business and turning that into a very profitable enterprise.

0:19:01.780 --> 0:19:05.859
<v Speaker 11>In the near term, the connectivity business is generating most

0:19:05.880 --> 0:19:06.560
<v Speaker 11>of the profits.

0:19:06.619 --> 0:19:09.080
<v Speaker 3>That's the Starlink satellite system.

0:19:09.100 --> 0:19:12.850
<v Speaker 11>And space, the portion that I focus on the most,

0:19:13.350 --> 0:19:17.750
<v Speaker 11>is really just the enabler of those two businesses. It's

0:19:17.770 --> 0:19:21.669
<v Speaker 11>going to enable Starlink in the near term. as they

0:19:21.710 --> 0:19:25.200
<v Speaker 11>try to generate as much cash and profit as possible

0:19:25.220 --> 0:19:27.420
<v Speaker 11>to help offset some of those challenges that Deep was

0:19:27.460 --> 0:19:30.139
<v Speaker 11>just talking about. But in the long term, I guess

0:19:30.160 --> 0:19:32.619
<v Speaker 11>they're going to put data centers in space, which should

0:19:32.640 --> 0:19:34.859
<v Speaker 11>probably fix a lot of problems on the world.

0:19:35.380 --> 0:19:36.679
<v Speaker 3>And in the near term, they.

0:19:36.580 --> 0:19:41.490
<v Speaker 11>Record no revenue for internal launches, which are over two-thirds

0:19:41.530 --> 0:19:42.650
<v Speaker 11>of the launches that they do.

0:19:43.410 --> 0:19:45.810
<v Speaker 5>And so you used the word George Enabler there. We're

0:19:45.850 --> 0:19:49.550
<v Speaker 5>talking specifically about Starship, which is the modus operandi by

0:19:49.590 --> 0:19:53.040
<v Speaker 5>which all of this future vision is achieved, right?

0:19:53.900 --> 0:19:54.200
<v Speaker 2>Yes.

0:19:54.859 --> 0:19:58.200
<v Speaker 11>Yes, Starship really gets them the size they need, I think,

0:19:58.220 --> 0:20:01.330
<v Speaker 11>to put both data centers in space and the larger

0:20:01.390 --> 0:20:05.550
<v Speaker 11>satellites that will help Starlink get better connectivity with the ground, right?

0:20:05.650 --> 0:20:09.250
<v Speaker 11>I think we saw SpaceX make some moves in the last...

0:20:10.020 --> 0:20:12.180
<v Speaker 11>couple of weeks. I think it's actually about a week ago.

0:20:12.640 --> 0:20:16.670
<v Speaker 11>Time seems to fly anymore when they bought some, you know,

0:20:16.730 --> 0:20:19.550
<v Speaker 11>broadband wavelength so they can try to be able to

0:20:19.670 --> 0:20:25.510
<v Speaker 11>use Starlink inside buildings. You know, and so, you know,

0:20:25.530 --> 0:20:29.450
<v Speaker 11>there's lots of developments. But again, I think, you know,

0:20:29.510 --> 0:20:33.190
<v Speaker 11>the space business, you know, right now it's progressing well,

0:20:33.290 --> 0:20:35.010
<v Speaker 11>but it's the enabler.

0:20:36.500 --> 0:20:38.340
<v Speaker 3>We're also looking at the carriers, right?

0:20:38.380 --> 0:20:41.100
<v Speaker 5>Because Gwynne Shotwell, SpaceX president, could not have been more

0:20:41.160 --> 0:20:43.270
<v Speaker 5>clear that they want to take customers from those carriers

0:20:43.310 --> 0:20:44.290
<v Speaker 5>with direct to mobile.

0:20:44.750 --> 0:20:45.690
<v Speaker 3>Mandeep, when I read.

0:20:45.590 --> 0:20:49.929
<v Speaker 5>Your research, we put SpaceX AI, XAI part of it,

0:20:50.450 --> 0:20:54.010
<v Speaker 5>side by side with the Frontier Labs, Google, et cetera.

0:20:55.090 --> 0:20:57.869
<v Speaker 5>Where do you look most closely on how they sell AI?

0:20:58.410 --> 0:21:03.320
<v Speaker 5>You know, the subscriptions for a chatbot, Grokbot agent, and

0:21:03.540 --> 0:21:05.000
<v Speaker 5>now Cursor bundled in there too.

0:21:06.040 --> 0:21:08.719
<v Speaker 10>Yes, so cursor is an asset we do expect to

0:21:08.800 --> 0:21:12.090
<v Speaker 10>ramp up fairly quickly in terms of the growth rates.

0:21:12.270 --> 0:21:14.969
<v Speaker 10>And look, we know coding agent is one of the

0:21:15.010 --> 0:21:18.859
<v Speaker 10>most successful use cases of generative AI. So from that perspective,

0:21:18.920 --> 0:21:22.720
<v Speaker 10>they should benefit from that trend. But I would point

0:21:22.780 --> 0:21:27.640
<v Speaker 10>to a comparison with Meta, which has a Muse app now,

0:21:27.760 --> 0:21:30.639
<v Speaker 10>which is at the frontier. So from that perspective, I

0:21:30.700 --> 0:21:35.580
<v Speaker 10>feel Grok still hasn't reached that level of capability on

0:21:35.640 --> 0:21:39.240
<v Speaker 10>its own. And I think that's where investors would want

0:21:39.290 --> 0:21:43.550
<v Speaker 10>to hear more around the training spend. from XAI and

0:21:43.670 --> 0:21:46.670
<v Speaker 10>where is Grok when it comes to the frontier capabilities

0:21:46.750 --> 0:21:49.570
<v Speaker 10>and how they plan to monetize the model part. We

0:21:49.609 --> 0:21:53.189
<v Speaker 10>have clarity on how they are monetizing the compute rental side,

0:21:53.550 --> 0:21:56.169
<v Speaker 10>but it's the model part and how much API revenue

0:21:56.210 --> 0:21:57.450
<v Speaker 10>can they generate from Grok.

0:21:57.490 --> 0:21:58.710
<v Speaker 3>I think that will be a fine twist.

0:21:59.619 --> 0:22:02.879
<v Speaker 5>Okay, SpaceX third quarter numbers coming after the bell. The

0:22:02.900 --> 0:22:06.359
<v Speaker 5>big watch is CapEx maybe for the full year 27,

0:22:06.359 --> 0:22:09.020
<v Speaker 5>but revenues expected to get to almost 13 billion driven

0:22:09.060 --> 0:22:12.659
<v Speaker 5>by AI. Mandeep Singh and George Ferguson of Bloomberg Intelligence,

0:22:12.940 --> 0:22:14.980
<v Speaker 5>thank you so much for joining us. The US is

0:22:15.040 --> 0:22:18.960
<v Speaker 5>blacklisting Miracle Plus, a Chinese venture firm founded by former

0:22:19.000 --> 0:22:23.030
<v Speaker 5>Microsoft AI executive Lu Qi over its investment in a

0:22:23.119 --> 0:22:28.530
<v Speaker 5>startup accused of stealing Google AI technology. The sanctions could

0:22:28.570 --> 0:22:33.710
<v Speaker 5>include freezing U.S. assets and banking restrictions as Washington intensifies

0:22:33.810 --> 0:22:39.129
<v Speaker 5>scrutiny of China's AI ecosystem. Four founders of one of

0:22:39.190 --> 0:22:43.109
<v Speaker 5>China's AI companies, Z.AI, worked on a study with a

0:22:43.150 --> 0:22:47.530
<v Speaker 5>technology institute that the U.K. government is accusing of having

0:22:47.590 --> 0:22:51.050
<v Speaker 5>ties to China's main spy agency. Joining us now is

0:22:51.090 --> 0:22:55.210
<v Speaker 5>in Washington, D.C., is Bloomberg's Kate O'Keefe, who covers the U.S.

0:22:55.250 --> 0:22:58.360
<v Speaker 5>and China tech from a sort of national security perspective.

0:22:58.670 --> 0:23:01.459
<v Speaker 5>This is a fascinating story. Let's start with the basics

0:23:01.500 --> 0:23:03.300
<v Speaker 5>of what ZAI actually is.

0:23:05.300 --> 0:23:05.780
<v Speaker 12>Right, Ed.

0:23:05.800 --> 0:23:08.500
<v Speaker 13>So ZAI might not yet be a household name here

0:23:08.540 --> 0:23:09.420
<v Speaker 13>in the U.S., but in.

0:23:09.400 --> 0:23:10.740
<v Speaker 1>China, it's huge.

0:23:10.859 --> 0:23:14.379
<v Speaker 13>It's one of their most promising artificial intelligence companies and

0:23:14.420 --> 0:23:17.939
<v Speaker 13>was actually the first of the major ones to list

0:23:18.040 --> 0:23:20.280
<v Speaker 13>publicly in Hong Kong, where its stock is trading now.

0:23:22.040 --> 0:23:24.870
<v Speaker 5>There are other parties involved here. And if I don't

0:23:24.890 --> 0:23:28.010
<v Speaker 5>get this right, correct me, but there is CGTRI.

0:23:28.590 --> 0:23:30.030
<v Speaker 3>What is that and what is going on?

0:23:31.520 --> 0:23:33.080
<v Speaker 1>There are other parties involved, right?

0:23:33.119 --> 0:23:38.100
<v Speaker 13>So CGTRI is an institute that, until very recently, probably

0:23:38.160 --> 0:23:41.459
<v Speaker 13>no one had ever really heard of. But that changed

0:23:41.690 --> 0:23:46.850
<v Speaker 13>on September 30th when Britain, the UK's MI5, put out

0:23:47.150 --> 0:23:52.609
<v Speaker 13>an espionage alert warning people that CGTRI has very close

0:23:52.630 --> 0:23:55.379
<v Speaker 13>ties to China's Ministry of State Security, which is its

0:23:55.440 --> 0:23:56.920
<v Speaker 13>main spy agency.

0:23:56.940 --> 0:23:57.040
<v Speaker 10>Right.

0:23:58.030 --> 0:24:02.270
<v Speaker 5>So that's the UK government's concern. It's around CGTRI and

0:24:02.470 --> 0:24:04.090
<v Speaker 5>its links to that agency.

0:24:04.810 --> 0:24:06.370
<v Speaker 3>The news or the development is.

0:24:06.310 --> 0:24:09.620
<v Speaker 5>This body of work that CGTRI and ZAI are doing together.

0:24:10.100 --> 0:24:11.980
<v Speaker 3>Why are they doing that? What are they looking at?

0:24:13.660 --> 0:24:16.900
<v Speaker 13>Right. So the story is specifically about the ZAI founders.

0:24:17.020 --> 0:24:21.280
<v Speaker 13>Four of them, it turns out, participated in a research

0:24:21.320 --> 0:24:26.379
<v Speaker 13>project that was co-funded by by CGTRI and that project

0:24:26.440 --> 0:24:28.780
<v Speaker 13>was four years long and it overlapped with the founding

0:24:29.080 --> 0:24:32.960
<v Speaker 13>of the company, ZAI. To be clear, ZAI is not

0:24:33.090 --> 0:24:37.830
<v Speaker 13>actually flagged in this espionage alert, but what we're reporting

0:24:37.910 --> 0:24:41.449
<v Speaker 13>on is the connection here between these four founders who

0:24:41.490 --> 0:24:44.189
<v Speaker 13>worked on a project that CGTRI was involved in.

0:24:45.660 --> 0:24:48.220
<v Speaker 5>A lot of people are reading about and clicking on

0:24:48.240 --> 0:24:51.199
<v Speaker 5>the story this morning I guess bigger picture, what's the

0:24:51.240 --> 0:24:55.590
<v Speaker 5>significance of the report? This is about a UK government

0:24:55.650 --> 0:24:58.810
<v Speaker 5>concern in particular, but what is the relevance to what's

0:24:58.830 --> 0:25:01.880
<v Speaker 5>happening in Washington? Why might there be an interest in this?

0:25:03.670 --> 0:25:03.910
<v Speaker 10>Right.

0:25:04.010 --> 0:25:06.350
<v Speaker 13>I mean, I guess when I think about the story,

0:25:06.369 --> 0:25:08.700
<v Speaker 13>I think about how much the U.S. is right now

0:25:08.780 --> 0:25:11.639
<v Speaker 13>struggling to figure out how to regulate U.S.

0:25:11.760 --> 0:25:12.820
<v Speaker 1>AI companies, right?

0:25:12.900 --> 0:25:15.760
<v Speaker 13>I mean, every day we're sort of hearing news about that.

0:25:15.920 --> 0:25:19.280
<v Speaker 13>And now I don't think people, policymakers, have really even

0:25:19.380 --> 0:25:23.630
<v Speaker 13>started thinking that deeply about AI. how to consider China's

0:25:23.760 --> 0:25:27.320
<v Speaker 13>AI champions. And so I think anything that sort of

0:25:27.340 --> 0:25:30.710
<v Speaker 13>sheds light on the people involved in China's AI ecosystem

0:25:31.250 --> 0:25:35.340
<v Speaker 13>will be very relevant to U.S. policymakers because of course,

0:25:35.520 --> 0:25:37.040
<v Speaker 13>AI is global, right?

0:25:37.180 --> 0:25:40.340
<v Speaker 1>It's not like these models are just locked up in China.

0:25:40.740 --> 0:25:43.240
<v Speaker 13>So it's something that everyone really needs.

0:25:43.080 --> 0:25:43.740
<v Speaker 2>To think about.

0:25:44.100 --> 0:25:47.520
<v Speaker 13>And so when you think about the fact that ZAI's

0:25:48.040 --> 0:25:54.439
<v Speaker 13>co-founders had a relationship through this research project with an

0:25:54.480 --> 0:25:57.810
<v Speaker 13>institute that we now know is an alleged front for

0:25:57.890 --> 0:26:01.350
<v Speaker 13>Chinese intelligence, I think that is definitely something that people

0:26:02.230 --> 0:26:02.970
<v Speaker 13>will take notice of.

0:26:04.450 --> 0:26:06.590
<v Speaker 5>It's one of the things people are reading about the

0:26:06.650 --> 0:26:09.410
<v Speaker 5>most on Bloomberg this morning. Kato Keefe, Bloomberg News, thank

0:26:09.430 --> 0:26:13.890
<v Speaker 5>you for bringing us the story. Okay, startup ASI, formerly

0:26:14.280 --> 0:26:19.200
<v Speaker 5>Airspace Intelligence, has raised $ 325 million, led by Spark Capital,

0:26:19.560 --> 0:26:22.720
<v Speaker 5>at a $ 3 billion valuation. The company builds AI software

0:26:23.060 --> 0:26:26.200
<v Speaker 5>for operating critical industries, including national security.

0:26:26.240 --> 0:26:27.900
<v Speaker 3>Transportation, and energy.

0:26:27.920 --> 0:26:31.139
<v Speaker 5>ASI founder and CEO, Philip Vockendorf, is with us.

0:26:31.520 --> 0:26:33.159
<v Speaker 3>It's great to have you on the program. Thank you

0:26:33.180 --> 0:26:33.790
<v Speaker 3>for being with us.

0:26:34.720 --> 0:26:36.520
<v Speaker 5>People know you because of the work you've done with

0:26:36.540 --> 0:26:39.679
<v Speaker 5>the FAA, and we'll get into how that works in practice.

0:26:40.340 --> 0:26:42.340
<v Speaker 5>But this is a pretty big vote in confidence from

0:26:42.380 --> 0:26:45.320
<v Speaker 5>your investors. What are you going to do in the

0:26:45.380 --> 0:26:47.860
<v Speaker 5>first instance with this capital? Because you're already out there

0:26:47.880 --> 0:26:50.119
<v Speaker 5>in the world. You're already doing real deals.

0:26:50.550 --> 0:26:51.330
<v Speaker 3>Well, absolutely.

0:26:51.960 --> 0:26:54.449
<v Speaker 14>So the way you can think about ASI is it's

0:26:54.470 --> 0:26:58.740
<v Speaker 14>really America's engine. We built the AI orchestration systems. for

0:26:58.770 --> 0:27:03.770
<v Speaker 14>the critical industries, from logistics to defense to energy. So yeah,

0:27:03.790 --> 0:27:06.070
<v Speaker 14>we're really excited to announce this round today. It's at

0:27:06.109 --> 0:27:11.810
<v Speaker 14>a $ 3 billion valuation, $ 325 million to scale our work

0:27:11.850 --> 0:27:16.000
<v Speaker 14>across America's most critical industries, no matter if that's energy, defense,

0:27:16.180 --> 0:27:16.859
<v Speaker 14>or transportation.

0:27:18.810 --> 0:27:20.709
<v Speaker 3>The technology, your core competence.

0:27:21.190 --> 0:27:26.129
<v Speaker 5>This is an issue of training costs and running the

0:27:26.150 --> 0:27:27.050
<v Speaker 5>platform costs.

0:27:27.390 --> 0:27:27.990
<v Speaker 3>It's talent.

0:27:28.030 --> 0:27:31.150
<v Speaker 5>What do you need most right now to continue growing?

0:27:31.740 --> 0:27:34.070
<v Speaker 3>Yeah, we're seeing an enormous amount of demand out there.

0:27:34.270 --> 0:27:37.230
<v Speaker 14>I think it's really a function of the world being

0:27:37.270 --> 0:27:40.169
<v Speaker 14>increasingly more dynamic. But then also, if you look at

0:27:40.190 --> 0:27:42.820
<v Speaker 14>the critical industries, they really run on a mix of

0:27:44.060 --> 0:27:47.840
<v Speaker 14>1980s technology and software. Great technology 30 years ago, but

0:27:47.880 --> 0:27:50.960
<v Speaker 14>not necessarily in 2026. And then a lot of consumer

0:27:51.000 --> 0:27:55.450
<v Speaker 14>AI or dashboards, rearview mirrors. and we're providing the technology

0:27:55.470 --> 0:27:57.090
<v Speaker 14>to the operators where they have foresight.

0:27:57.270 --> 0:27:58.149
<v Speaker 3>Okay, so that's interesting.

0:27:58.210 --> 0:28:01.810
<v Speaker 5>Even if it's an agency or a commercial partner that

0:28:01.890 --> 0:28:05.410
<v Speaker 5>is using a chatbot, right? The whole point is that

0:28:05.750 --> 0:28:09.389
<v Speaker 5>the capabilities of that technology are not as predictive as ASI.

0:28:09.750 --> 0:28:11.889
<v Speaker 3>Explain the FAA case study to me. This is in

0:28:11.930 --> 0:28:12.470
<v Speaker 3>the real world.

0:28:12.800 --> 0:28:16.100
<v Speaker 5>This is your technology being used for air traffic control,

0:28:16.480 --> 0:28:20.820
<v Speaker 5>which is serious. That's consequential for Americans flying around this country.

0:28:21.390 --> 0:28:25.660
<v Speaker 14>Yeah, it's a great example on how orchestration AI can work, right?

0:28:25.680 --> 0:28:28.940
<v Speaker 14>So just to be clear, we're not like tactically separating aircraft.

0:28:28.960 --> 0:28:32.260
<v Speaker 14>Those are separate different systems. But we are orchestrating the

0:28:32.300 --> 0:28:35.020
<v Speaker 14>system as a whole from the airport to the airspace

0:28:35.920 --> 0:28:36.859
<v Speaker 14>to the traffic flows.

0:28:37.840 --> 0:28:38.460
<v Speaker 3>So just a few.

0:28:38.400 --> 0:28:42.240
<v Speaker 14>Months ago, we were awarded an $ 875 million production contract.

0:28:42.280 --> 0:28:44.550
<v Speaker 14>And just to put that in perspective, over the last

0:28:44.550 --> 0:28:48.150
<v Speaker 14>30 years, only four technology companies have been founded that

0:28:48.170 --> 0:28:49.710
<v Speaker 14>were awarded a contract of this size.

0:28:49.730 --> 0:28:50.729
<v Speaker 3>So it's pretty meaningful.

0:28:50.870 --> 0:28:53.170
<v Speaker 5>Palantir was in the running for that contract, and you

0:28:53.210 --> 0:28:57.230
<v Speaker 5>were able to get there in the end. What would

0:28:57.270 --> 0:29:02.910
<v Speaker 5>you say is the point of differentiation, the defining feature

0:29:02.950 --> 0:29:05.090
<v Speaker 5>of your technology that it won out in the end?

0:29:05.640 --> 0:29:08.180
<v Speaker 14>Yeah, I would say ASI is really a company one-off one.

0:29:08.840 --> 0:29:11.420
<v Speaker 14>The way we look at the AI landscape.

0:29:11.460 --> 0:29:13.820
<v Speaker 3>I would say you have three categories, right?

0:29:13.980 --> 0:29:16.780
<v Speaker 14>So one category is probably the one that's most talked about.

0:29:16.800 --> 0:29:20.310
<v Speaker 14>It's really the generation of text, images, and videos. And

0:29:20.330 --> 0:29:23.470
<v Speaker 14>then you have AI for autonomy, right? No matter if

0:29:23.490 --> 0:29:27.110
<v Speaker 14>that's self-driving cars or the autonomy that goes on a

0:29:27.130 --> 0:29:30.030
<v Speaker 14>drone for the battlefield or the humanoid that eventually might

0:29:30.390 --> 0:29:32.950
<v Speaker 14>do your laundry. And we think there's a third category,

0:29:33.010 --> 0:29:37.840
<v Speaker 14>which is really the the orchestration of the most critical infrastructure,

0:29:37.860 --> 0:29:40.060
<v Speaker 14>the most complex systems, no matter if that's powering the

0:29:40.120 --> 0:29:45.780
<v Speaker 14>energy grid, air traffic systems, transportation, logistics, military operations. And

0:29:45.800 --> 0:29:49.080
<v Speaker 14>that's really where we specialize as a company.

0:29:49.360 --> 0:29:52.900
<v Speaker 5>Spark led the round, but Croft Ventures, Andreessen Horowitz, affiliates

0:29:52.970 --> 0:29:57.060
<v Speaker 5>of Citadel Securities all participated. Are you in this place

0:29:57.120 --> 0:29:59.960
<v Speaker 5>in the company's growth where you just need the capital

0:30:00.440 --> 0:30:03.080
<v Speaker 5>or you need more sort of operational help from those

0:30:03.640 --> 0:30:05.160
<v Speaker 5>investors that are on the cap table?

0:30:05.850 --> 0:30:08.090
<v Speaker 14>Yeah, we're scaling an enduring company here.

0:30:08.650 --> 0:30:11.710
<v Speaker 3>We've always been a very robust and enduring business.

0:30:11.810 --> 0:30:13.570
<v Speaker 14>And I mean, a lot of the investors that you

0:30:13.610 --> 0:30:16.350
<v Speaker 14>see in this round know the company for a long time.

0:30:17.230 --> 0:30:20.060
<v Speaker 14>Spark led our Series A back in the day. Now

0:30:20.280 --> 0:30:22.660
<v Speaker 14>they're doubling down in this round. I think it's one

0:30:22.680 --> 0:30:24.980
<v Speaker 14>of the largest checks their growth team has ever written.

0:30:25.600 --> 0:30:28.520
<v Speaker 14>And recent Horowitz who led our last round is a

0:30:28.540 --> 0:30:30.900
<v Speaker 14>returning investor in this round. And I think it's really

0:30:30.920 --> 0:30:35.709
<v Speaker 14>a testament to the robustness of this company.

0:30:35.870 --> 0:30:39.370
<v Speaker 5>So, look, we're showing some footage here which speaks to

0:30:39.890 --> 0:30:42.750
<v Speaker 5>the other area you're working on, which is with the U.S.

0:30:42.790 --> 0:30:43.210
<v Speaker 3>Military.

0:30:43.910 --> 0:30:47.300
<v Speaker 5>There are also some recent case studies where this is real.

0:30:47.360 --> 0:30:49.320
<v Speaker 5>Your technology is being used. Just explain that.

0:30:50.150 --> 0:30:53.130
<v Speaker 14>Yeah, this is proven capability, and I think this is

0:30:53.470 --> 0:30:56.800
<v Speaker 14>a change you see in the government. Instead of relying

0:30:57.980 --> 0:31:00.760
<v Speaker 14>on research work that might take five or ten years,

0:31:01.120 --> 0:31:04.510
<v Speaker 14>the government is acquiring proven capability from the private sector.

0:31:05.590 --> 0:31:08.170
<v Speaker 3>Deeply, dual use, dual purpose. I mean, if you just

0:31:08.190 --> 0:31:09.730
<v Speaker 3>look at the sectors. You mean civilian and military.

0:31:09.770 --> 0:31:10.070
<v Speaker 2>Exactly.

0:31:10.110 --> 0:31:11.590
<v Speaker 14>I mean, just if you look at the sectors where

0:31:11.630 --> 0:31:15.230
<v Speaker 14>we operate, transportation, there's an interplay between the government and

0:31:15.280 --> 0:31:18.640
<v Speaker 14>the airlines, right, through air traffic control. Energy, same between

0:31:18.660 --> 0:31:21.520
<v Speaker 14>the utilities and the local governments. And then look at

0:31:21.560 --> 0:31:26.720
<v Speaker 14>military logistics. A lot of the logistics capability and capacity

0:31:26.780 --> 0:31:28.580
<v Speaker 14>actually comes out of the private sector and is then

0:31:28.680 --> 0:31:32.040
<v Speaker 14>used by the government. You also work with the private sector, right?

0:31:32.060 --> 0:31:33.340
<v Speaker 14>Some of the commercial airlines.

0:31:33.480 --> 0:31:36.950
<v Speaker 5>But what is your sort of assessment about present day

0:31:37.430 --> 0:31:41.670
<v Speaker 5>government agencies willingness to commit to a new technology platform?

0:31:41.690 --> 0:31:43.890
<v Speaker 3>You talked about how in the FAA context, right?

0:31:44.170 --> 0:31:46.810
<v Speaker 5>Some of those systems are 30 years old, but you're

0:31:46.870 --> 0:31:49.330
<v Speaker 5>able to do business with different arms of government and

0:31:49.390 --> 0:31:50.210
<v Speaker 5>actually get things done.

0:31:50.560 --> 0:31:52.040
<v Speaker 14>Yeah, I think this is really what we've seen over

0:31:52.060 --> 0:31:54.920
<v Speaker 14>the last year. I mean, in the beginning of the year,

0:31:54.960 --> 0:31:57.460
<v Speaker 14>we scaled our work with the Department of War very

0:31:57.500 --> 0:32:01.060
<v Speaker 14>significantly through Operation Epic Fury. Then we were awarded the

0:32:01.240 --> 0:32:03.180
<v Speaker 14>FAA contract you just mentioned. And then just a couple

0:32:03.200 --> 0:32:05.800
<v Speaker 14>of weeks ago, we were awarded a $ 99 million contract.

0:32:05.520 --> 0:32:05.900
<v Speaker 3>With the U.S.

0:32:05.960 --> 0:32:06.100
<v Speaker 15>Army.

0:32:07.170 --> 0:32:10.560
<v Speaker 5>Philip Buckendorf, founder and CEO of ASI. Really grateful to

0:32:10.580 --> 0:32:12.420
<v Speaker 5>have you with us here today in San Francisco.

0:32:12.460 --> 0:32:12.840
<v Speaker 3>Thank you.

0:32:13.320 --> 0:32:15.120
<v Speaker 5>There's lots of other news out there around the world.

0:32:15.140 --> 0:32:17.460
<v Speaker 5>It's time for Talking Tech. And first up, three of

0:32:17.520 --> 0:32:22.060
<v Speaker 5>China's biggest tech firms, Tencent, Alibaba, and ByteDance, have ordered

0:32:22.100 --> 0:32:26.030
<v Speaker 5>more than 3 million new NVIDIA graphics cards. Reuters is reporting,

0:32:26.090 --> 0:32:29.410
<v Speaker 5>citing people familiar with the matter. The new RTX Pro

0:32:29.870 --> 0:32:33.050
<v Speaker 5>5500s are not the highest-end chips Washington bars from exports

0:32:33.070 --> 0:32:37.080
<v Speaker 5>to China. though they can support AI services. Nvidia said

0:32:37.120 --> 0:32:40.620
<v Speaker 5>it cannot guarantee that it can fill the orders. Reuters

0:32:40.640 --> 0:32:44.160
<v Speaker 5>put the sticker price of that deal at over $ 35 billion. Plus,

0:32:44.180 --> 0:32:48.090
<v Speaker 5>a power outage affecting Google Cloud knocked out some services

0:32:48.150 --> 0:32:52.410
<v Speaker 5>for banking firms in the UK. Digital Bank Revolut, HSBC

0:32:52.530 --> 0:32:55.990
<v Speaker 5>and Lloyds were impacted. On its status page, Google customers

0:32:56.010 --> 0:32:58.770
<v Speaker 5>in the London region could try to migrate their services

0:32:59.030 --> 0:33:02.650
<v Speaker 5>to other cloud regions. And Australia is set to sue

0:33:02.730 --> 0:33:06.709
<v Speaker 5>five platforms, including TikTok and Facebook, for violating the.

0:33:06.690 --> 0:33:09.010
<v Speaker 3>Country's landmark social media ban for children.

0:33:09.410 --> 0:33:12.950
<v Speaker 5>The law requires companies to take steps to stop underage

0:33:13.050 --> 0:33:15.150
<v Speaker 5>users from holding social media accounts.

0:33:15.170 --> 0:33:15.240
<v Speaker 6>But.

0:33:15.910 --> 0:33:19.180
<v Speaker 5>A report from Australia's online safety regulator earlier this year

0:33:19.380 --> 0:33:22.660
<v Speaker 5>found underage users were able to keep or create new accounts.

0:33:23.000 --> 0:33:26.200
<v Speaker 5>Australia's communications minister, Anika Wells, spoke with Bloomberg.

0:33:27.160 --> 0:33:30.890
<v Speaker 15>We do seek to enforce our Australian laws. They say

0:33:30.950 --> 0:33:34.710
<v Speaker 15>that they wish to uphold them. The safety commissioner isn't convinced.

0:33:34.770 --> 0:33:38.110
<v Speaker 15>There are five investigations on foot. And now with the

0:33:38.210 --> 0:33:42.460
<v Speaker 15>laws that we recently strengthened in the parliament, A few

0:33:42.500 --> 0:33:45.560
<v Speaker 15>weeks ago now, she has more powers to be able

0:33:45.580 --> 0:33:47.780
<v Speaker 15>to gather the evidence that she needs to take those

0:33:47.880 --> 0:33:49.660
<v Speaker 15>five companies to the federal court.

0:33:50.020 --> 0:33:53.850
<v Speaker 2>So can we expect a court case against those five companies?

0:33:54.030 --> 0:33:54.290
<v Speaker 13>Yes.

0:33:54.950 --> 0:33:56.890
<v Speaker 1>It's not my decision, but I would expect it.

0:33:59.590 --> 0:34:02.970
<v Speaker 5>Representatives for the companies either declined or did not respond

0:34:02.990 --> 0:34:05.430
<v Speaker 5>to requests for comment. Okay, coming up, lots of folks

0:34:05.470 --> 0:34:08.230
<v Speaker 5>are going to be watching Netflix this afternoon, third quarter earnings,

0:34:08.280 --> 0:34:10.880
<v Speaker 5>that is. We're going to preview that next. There's a

0:34:10.900 --> 0:34:30.759
<v Speaker 5>lot to talk about. This is Bloomberg Tech. Let's take

0:34:30.780 --> 0:34:35.080
<v Speaker 5>a look at today's big number, $ 135 billion. That's how

0:34:35.120 --> 0:34:38.660
<v Speaker 5>much Netflix has lost in market value this year. The

0:34:38.680 --> 0:34:42.400
<v Speaker 5>stock's down 25% in 2026, putting Netflix among the 10

0:34:42.400 --> 0:34:45.940
<v Speaker 5>worst performers in the tech-heavy NASDAQ 100 index. Ahead of

0:34:45.980 --> 0:34:50.700
<v Speaker 5>its earnings later today, shares completely flat and treading water.

0:34:50.739 --> 0:34:53.350
<v Speaker 5>But there's been so much this week in the Netflix

0:34:53.410 --> 0:34:56.230
<v Speaker 5>news cycle. Let's talk about what to expect and some

0:34:56.250 --> 0:34:59.690
<v Speaker 5>of those news items with Bloomberg's Felix Gillette. There's a

0:34:59.710 --> 0:35:04.310
<v Speaker 5>lot of concern about Netflix and slowing sales. Sales is

0:35:04.330 --> 0:35:06.830
<v Speaker 5>a measure of growth, and it all stems back to content.

0:35:07.370 --> 0:35:08.009
<v Speaker 5>What do we need to know?

0:35:08.250 --> 0:35:11.230
<v Speaker 16>Well, obviously they made big headlines this week by dismissing

0:35:11.270 --> 0:35:13.330
<v Speaker 16>their chief creative officer.

0:35:13.430 --> 0:35:14.770
<v Speaker 2>The head of their film division.

0:35:15.670 --> 0:35:18.589
<v Speaker 16>But the realities of TV and movie development is they're

0:35:18.610 --> 0:35:21.530
<v Speaker 16>going to be stuck with the previous leadership's film slate

0:35:21.590 --> 0:35:23.390
<v Speaker 16>and TV slate for the next year. So I think

0:35:23.430 --> 0:35:25.470
<v Speaker 16>the question is, What else are you going to do

0:35:25.510 --> 0:35:29.160
<v Speaker 16>strategically to try and boost engagement on the platform, particularly

0:35:29.180 --> 0:35:31.080
<v Speaker 16>in the U.S. and Canada where it's been lagging?

0:35:32.040 --> 0:35:32.239
<v Speaker 10>Right.

0:35:32.260 --> 0:35:35.380
<v Speaker 5>The other headline was a week ago when Netflix announced

0:35:35.440 --> 0:35:40.069
<v Speaker 5>it would fire 6% of global staff. That's about 1,000 people. So, like,

0:35:40.270 --> 0:35:43.250
<v Speaker 5>senior departure is quite normal on Netflix. Happens time to time. But, like,

0:35:43.330 --> 0:35:47.210
<v Speaker 5>that is a quite wide layoff. What does that signal

0:35:47.270 --> 0:35:48.490
<v Speaker 5>about the action they're taking?

0:35:49.140 --> 0:35:50.440
<v Speaker 16>I mean, I think part of it is that the

0:35:50.480 --> 0:35:53.350
<v Speaker 16>question is, you know, They've proven they can boost engagement

0:35:53.370 --> 0:35:57.049
<v Speaker 16>with live sports, but that's incredibly expensive. And how are

0:35:57.070 --> 0:35:59.810
<v Speaker 16>you gonna keep the margins up over 30% while also

0:35:59.850 --> 0:36:01.390
<v Speaker 16>boosting engagement.

0:36:00.870 --> 0:36:01.810
<v Speaker 2>Without breaking the bank?

0:36:01.870 --> 0:36:06.710
<v Speaker 16>I think they've tried these experiments with putting on podcasting

0:36:06.730 --> 0:36:09.910
<v Speaker 16>and creators content, cheaper programming.

0:36:09.950 --> 0:36:11.509
<v Speaker 3>That doesn't seem like it's moved the needle.

0:36:12.030 --> 0:36:14.720
<v Speaker 16>You know, 2022, when they went through their last slump,

0:36:14.739 --> 0:36:17.980
<v Speaker 16>they made some big changes. They introduced advertising to the platform,

0:36:18.020 --> 0:36:20.420
<v Speaker 16>which is something they said they'd never do. They did

0:36:20.440 --> 0:36:24.459
<v Speaker 16>the big password sharing crackdown. So would they be willing

0:36:24.500 --> 0:36:26.540
<v Speaker 16>to make other big changes this time around? I think

0:36:26.560 --> 0:36:27.680
<v Speaker 16>that's what people are waiting to see.

0:36:28.620 --> 0:36:32.239
<v Speaker 3>I just got through The Gentleman season two. That was good.

0:36:32.440 --> 0:36:33.440
<v Speaker 3>That was good TV.

0:36:33.739 --> 0:36:36.120
<v Speaker 5>But my understanding is the problem they've got is carrying

0:36:36.160 --> 0:36:39.860
<v Speaker 5>the audience over from season one to season two or something.

0:36:40.020 --> 0:36:42.860
<v Speaker 16>Yeah, they're having a hard time bringing back the audiences.

0:36:43.300 --> 0:36:45.550
<v Speaker 16>One thing they've always said they wouldn't change was how

0:36:45.590 --> 0:36:48.550
<v Speaker 16>they roll out new episodes. They have this binge model.

0:36:48.590 --> 0:36:51.189
<v Speaker 16>They put all the episodes up at once. Is that

0:36:51.250 --> 0:36:54.529
<v Speaker 16>something they're willing to consider changing, going back to more

0:36:54.550 --> 0:36:57.270
<v Speaker 16>of a traditional model, rolling out one episode per week

0:36:57.350 --> 0:36:59.989
<v Speaker 16>to kind of build up and engagement and interest and

0:37:00.070 --> 0:37:02.469
<v Speaker 16>momentum around a series, I think that's something they might

0:37:02.489 --> 0:37:03.050
<v Speaker 16>be considering.

0:37:03.810 --> 0:37:06.330
<v Speaker 5>Right, which is something that everyone does. You know, Apple TV,

0:37:06.469 --> 0:37:09.570
<v Speaker 5>find that on HBO Max, Paramount, etc. Bloomberg's Felix Gillette,

0:37:09.610 --> 0:37:11.989
<v Speaker 5>busy evening for you guys. Thank you very much. The

0:37:12.030 --> 0:37:14.900
<v Speaker 5>other one many will be watching is SpaceX's third quarter earnings.

0:37:15.160 --> 0:37:18.680
<v Speaker 5>The upcoming report follows an increase in AI spending. Another

0:37:18.719 --> 0:37:21.460
<v Speaker 5>crew sent into space. A lot of activity on the

0:37:21.520 --> 0:37:24.479
<v Speaker 5>AI side. His talk in preview is Bloomberg's Lauren Grush,

0:37:24.500 --> 0:37:26.340
<v Speaker 5>who leads our coverage of the company.

0:37:26.360 --> 0:37:29.020
<v Speaker 3>Again, it's been difficult for you and.

0:37:28.980 --> 0:37:29.239
<v Speaker 13>I, right?

0:37:29.420 --> 0:37:32.850
<v Speaker 5>This is really becoming an AI company. What's your main

0:37:32.930 --> 0:37:34.450
<v Speaker 5>focus for when the earnings hit this evening?

0:37:35.630 --> 0:37:37.330
<v Speaker 9>Well, I think the big question is, you know, will

0:37:37.350 --> 0:37:39.969
<v Speaker 9>this actually be a profitable quarter for them? I think

0:37:40.050 --> 0:37:42.710
<v Speaker 9>one of the most staggering things we found when they

0:37:42.790 --> 0:37:45.669
<v Speaker 9>did go public this summer is just how much money

0:37:45.710 --> 0:37:49.650
<v Speaker 9>the company was losing. This supposedly very successful launch and

0:37:49.690 --> 0:37:53.050
<v Speaker 9>satellite company, the numbers just weren't adding up. So it

0:37:53.070 --> 0:37:56.200
<v Speaker 9>will be really interesting, especially since a lot of folks,

0:37:56.340 --> 0:37:59.920
<v Speaker 9>including myself maybe, questioned the merger about.

0:37:59.760 --> 0:38:01.339
<v Speaker 12>Why they would merge with XAI, I guess XAI.

0:38:02.600 --> 0:38:03.320
<v Speaker 1>SI now.

0:38:03.700 --> 0:38:07.080
<v Speaker 9>And but now we might actually see that that merger

0:38:07.100 --> 0:38:09.359
<v Speaker 9>pay off as a lot of that revenue that we're

0:38:09.400 --> 0:38:12.070
<v Speaker 9>expecting is coming from that side of the business.

0:38:12.620 --> 0:38:15.069
<v Speaker 5>Actually, thank you for that. We're 54 minutes into the show.

0:38:15.130 --> 0:38:17.490
<v Speaker 5>And I think I've said SpaceX AI quite a few times.

0:38:17.830 --> 0:38:19.730
<v Speaker 5>They went with SI after the president.

0:38:19.750 --> 0:38:20.350
<v Speaker 3>I mean, you're right.

0:38:20.370 --> 0:38:23.590
<v Speaker 5>The expectation is 15 cents for EPS and a positive

0:38:23.630 --> 0:38:24.230
<v Speaker 5>net income.

0:38:24.530 --> 0:38:25.790
<v Speaker 3>But that comes from Starlink.

0:38:25.810 --> 0:38:27.989
<v Speaker 5>So like even if most of revenues are AI, the

0:38:28.010 --> 0:38:29.729
<v Speaker 5>connectivity piece is the cash cow.

0:38:29.790 --> 0:38:30.270
<v Speaker 3>Is that right?

0:38:32.070 --> 0:38:33.770
<v Speaker 9>It is the cash cow, but I think we might

0:38:33.910 --> 0:38:37.500
<v Speaker 9>actually see revenue from the AI.

0:38:37.239 --> 0:38:38.080
<v Speaker 12>Or SI side.

0:38:38.120 --> 0:38:38.899
<v Speaker 3>I'm sorry, I'll stop.

0:38:40.239 --> 0:38:42.240
<v Speaker 12>Actually surpass the connectivity business.

0:38:42.300 --> 0:38:45.020
<v Speaker 9>That's not to say that the connectivity business isn't a

0:38:45.060 --> 0:38:47.660
<v Speaker 9>heavy hitter. It's still expected to bring in, I think,

0:38:47.739 --> 0:38:52.130
<v Speaker 9>over $ 4 billion or, you know, it'll increase upon last quarter.

0:38:52.510 --> 0:38:55.330
<v Speaker 9>But it's possible we might actually see the AI business

0:38:56.550 --> 0:38:57.890
<v Speaker 9>surpass that this time around.

0:38:58.760 --> 0:39:00.839
<v Speaker 5>So there is a connect here, which is SpaceX wants

0:39:00.860 --> 0:39:04.080
<v Speaker 5>to boost the constellation of Starlink, which is constellation-based internet,

0:39:04.140 --> 0:39:08.530
<v Speaker 5>do direct to cell, have space-based data centers, and Starship,

0:39:08.590 --> 0:39:11.450
<v Speaker 5>the next generation launch platform, is the enabler.

0:39:11.810 --> 0:39:13.709
<v Speaker 3>So we're still tracking progress there, right?

0:39:14.630 --> 0:39:17.150
<v Speaker 12>Yeah, I feel like I'm constantly beating the drum on Starship.

0:39:17.430 --> 0:39:20.689
<v Speaker 9>It's the thing that will unlock all of these big

0:39:20.750 --> 0:39:23.870
<v Speaker 9>ambitious projects of the future. And so it has to work.

0:39:23.890 --> 0:39:26.759
<v Speaker 9>SpaceX has put it in the critical path. for all

0:39:26.780 --> 0:39:28.100
<v Speaker 9>of the things that it wants to.

0:39:28.040 --> 0:39:28.870
<v Speaker 12>Do with its future.

0:39:29.320 --> 0:39:31.259
<v Speaker 9>And so I really would love to see more of

0:39:31.680 --> 0:39:34.980
<v Speaker 9>an in-depth update. We got something from Musk a couple

0:39:35.000 --> 0:39:38.060
<v Speaker 9>of weeks ago about what happened during that last launch

0:39:38.080 --> 0:39:40.580
<v Speaker 9>that actually went to orbit for the first time and

0:39:40.620 --> 0:39:42.910
<v Speaker 9>put upgraded Starlink satellites.

0:39:42.469 --> 0:39:44.890
<v Speaker 12>In orbit for the first time. There were it wasn't

0:39:44.930 --> 0:39:46.170
<v Speaker 12>a slam dunk of a mission.

0:39:46.450 --> 0:39:48.670
<v Speaker 9>There were some issues with an engine out. So I'd

0:39:48.690 --> 0:39:50.670
<v Speaker 9>like to hear a little bit more about that. But

0:39:50.690 --> 0:39:52.910
<v Speaker 9>definitely want to know about what the plan is for

0:39:52.950 --> 0:39:56.040
<v Speaker 9>going forward, how they're going to keep developing the vehicle.

0:39:56.360 --> 0:39:58.420
<v Speaker 9>And then, of course, you know, there's there's so much

0:39:58.480 --> 0:40:01.160
<v Speaker 9>more that Starship has to do for NASA and for

0:40:01.200 --> 0:40:04.010
<v Speaker 9>SpaceX's long term ambitions of going into deep space.

0:40:04.390 --> 0:40:06.430
<v Speaker 12>How are they going to do that test regime.

0:40:06.390 --> 0:40:13.129
<v Speaker 9>While also launching this massive Starlinks constellation and StarMind constellation

0:40:13.150 --> 0:40:15.050
<v Speaker 9>for their AI orbital data center project?

0:40:15.390 --> 0:40:17.089
<v Speaker 12>It's a lot that Starship has to do.

0:40:17.810 --> 0:40:18.210
<v Speaker 3>It's a lot.

0:40:18.230 --> 0:40:19.850
<v Speaker 5>And we're going to be doing the live blog on

0:40:19.870 --> 0:40:22.330
<v Speaker 5>the terminal online. So join Lauren, me and the team

0:40:22.390 --> 0:40:24.469
<v Speaker 5>for that. Lauren Grasher, Bloomberg News. Thank you very much.

0:40:24.489 --> 0:40:26.770
<v Speaker 5>That does it for this edition of Bloomberg Tech.

0:40:26.810 --> 0:40:28.209
<v Speaker 3>Again, this is what markets look like.

0:40:28.250 --> 0:40:30.850
<v Speaker 5>In the first hour of trading this Tuesday, everything was

0:40:30.890 --> 0:40:32.810
<v Speaker 5>down and quite a lot. The SOX was down to

0:40:32.850 --> 0:40:34.920
<v Speaker 5>an half percent. Then there was a change in sound.