WEBVTT - SpaceX Lowers IPO Valuation Target

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. Bloomberg Tech is a

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

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<v Speaker 1>York and Ed Lovelow in San Francisco.

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<v Speaker 2>I'm Tim Stanovek in for Caroline and Ed.

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<v Speaker 3>Today.

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<v Speaker 2>This is Bloomberg Tech coming up SpaceX, coming back down

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<v Speaker 2>to Earth with a slightly lower valuation, and it's IPO.

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<v Speaker 2>We'll break down why plus Anthropic closing a funding round

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<v Speaker 2>at a whopping nine hundred and sixty five billion dollar valuation.

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<v Speaker 2>It surpasses Open Ai for the first time in the

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<v Speaker 2>AI race, and Dell surges after the hardware giants outlook

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<v Speaker 2>far surpassed Wall Street estimates. We're gonna hear from the

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<v Speaker 2>CFO just a little later this hour. First, though, let's

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<v Speaker 2>take a check on these markets on this holiday shortened

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<v Speaker 2>to trading week this Friday morning. The NAZAQ one hundred

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<v Speaker 2>continuing to push to new records, with the mark buoyed

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<v Speaker 2>by hopes that a ceasefire deal could bring an end

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<v Speaker 2>to the Iran conflict, as well as the relentless AI

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<v Speaker 2>optimism trade. The Deck Benchmark index up about three percent

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<v Speaker 2>on the week, more than ten percent just this month.

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<v Speaker 2>This is AI enthusiasm sens Dell shares to a new record,

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<v Speaker 2>climbing today more than thirty percent, highed by twenty nine

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<v Speaker 2>percent right now. Dell gave an outlook for annual sales

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<v Speaker 2>that far surpassed analyst estimates, that fueled by demand for

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<v Speaker 2>servers that power AI work. Let's also take a look

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<v Speaker 2>at today's big number. It is one point eight trillion dollars.

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<v Speaker 2>It's the valuation SpaceX is said to be targeting for

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<v Speaker 2>its IPO.

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<v Speaker 3>That's according to sources.

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<v Speaker 2>That figure, though down from the more than two trillion

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<v Speaker 2>dollar valuation Bloomberg reported the company was seeking back in April.

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<v Speaker 2>Let's get more with Bloomberg Space and Aviation Managing editor

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<v Speaker 2>Benedict Camel. Benedict talk to us a little bit about

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<v Speaker 2>why we're seeing somewhat of a revision lower for a

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<v Speaker 2>potential valuation for SpaceX when it is expected to go

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<v Speaker 2>public next month.

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<v Speaker 4>Yeah, so the listing is not far off. It's a

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<v Speaker 4>couple of days off, So the pricing will settle in

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<v Speaker 4>the next couple of days. And I think what we're

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<v Speaker 4>seeing right now is sort of the market trying to

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<v Speaker 4>figure out which way things will fall. It's a little

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<v Speaker 4>lower is the latest number we're hearing, as you said,

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<v Speaker 4>one point eight trillion, which you know, if you think

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<v Speaker 4>about trillions, that's almost a rounding errow compared to the

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<v Speaker 4>more than two trillion. So this is probably sort of

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<v Speaker 4>that both sides on the investment banking side, but also

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<v Speaker 4>on the bias side, trying to sort of get a

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<v Speaker 4>sense of the momentum. It might also be a case

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<v Speaker 4>of sort of, you know, come in with low expectations

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<v Speaker 4>and then beat them, so that might be part of that,

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<v Speaker 4>So it's difficult to say at this point. Also importantly,

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<v Speaker 4>Musk did come out a short while ago with a

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<v Speaker 4>single word response saying false. So we'll have to see

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<v Speaker 4>who's right in the end. But you know, this is probably,

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<v Speaker 4>as I said, sort of a positioning game going on

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<v Speaker 4>right now. You don't want to come in with your

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<v Speaker 4>guns blazing too soon. But having said that, it's been

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<v Speaker 4>about a week now since we got sort of a

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<v Speaker 4>good sense of the numbers as part of the listing,

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<v Speaker 4>and these are pretty you know, mind boggling figures that

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<v Speaker 4>we've read. You know, the the value is one of them,

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<v Speaker 4>but then also the total addressable market is twenty eight trillion.

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<v Speaker 4>These are sort of utopis numbers in some cases. So

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<v Speaker 4>whether it's one point eight trillion, whether it's two trillion,

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<v Speaker 4>the difference isn't that big.

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<v Speaker 2>Some might say sort of like out of this world

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<v Speaker 2>maybe you know, planetary expansion. Who knows before we let

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<v Speaker 2>you go just on that number. If it had eighteen

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<v Speaker 2>point seven billion dollars in revenue in twenty twenty five,

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<v Speaker 2>up from fourteen billion dollars, you know in twenty twenty four,

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<v Speaker 2>that would if it were valued at one point eight

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<v Speaker 2>trillion dollars, that would be a price to sales multiple

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<v Speaker 2>of like ninety six, which is pretty huge. I mean,

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<v Speaker 2>you know, software companies are typically what ten x, So

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<v Speaker 2>even if this is a more conservative of valuation for

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<v Speaker 2>a market cap, this is still you know, huge. I

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<v Speaker 2>guess people are you think this is a huge opportunity?

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<v Speaker 2>Is that realistic?

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<v Speaker 4>I think you're absolutely right. It's the key word is

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<v Speaker 4>opportunity here, and I think people are buying into this

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<v Speaker 4>not sort of where things stand right now, but rather

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<v Speaker 4>what this business might be in five years and ten

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<v Speaker 4>years and twenty years. And if there's one thing that

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<v Speaker 4>Elon Musk has shown and has proven that he can

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<v Speaker 4>build a market from very little or nothing. He's done

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<v Speaker 4>so with Tesla, he might do so again now with

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<v Speaker 4>space exploration. Obviously, there's a lot of things that have

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<v Speaker 4>to go right again. Some of the things in the

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<v Speaker 4>Prospectors included items like we want to have a million

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<v Speaker 4>people on Mars, so you know that is sort of

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<v Speaker 4>future fantasies, future thinking.

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<v Speaker 3>But if you can pull.

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<v Speaker 4>Off some of those things, then maybe that valuation might

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<v Speaker 4>not seem quite as lofty as it is now.

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<v Speaker 2>Okay, well, we'll have to wait and see. Bennydacamill joining

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<v Speaker 2>us from berwwin. Thanks Benedict Well. Speaking of valuations, Anthropic

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<v Speaker 2>closing a fund round at a wopping nine hundred and

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<v Speaker 2>sixty five billion dollar valuation. It surpasses Open AI for

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<v Speaker 2>the first time in the AI race. The large round

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<v Speaker 2>came together any matter of weeks. It's a sign of

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<v Speaker 2>strong demand for Claude and for of course Anthropic. Bloomberg

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<v Speaker 2>Sharen Gafari joining us now with more Shreen. What I

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<v Speaker 2>find notable in your piece is we're getting some insight

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<v Speaker 2>into just how much revenue for Anthropic has increased in

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<v Speaker 2>just the last few months. Talk to us about the

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<v Speaker 2>doubling that we saw in such a short period of time.

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<v Speaker 5>That's right. So Anthropic is, you know, nearing fifty billion

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<v Speaker 5>of run rate revenue and that's a projection of their

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<v Speaker 5>annual revenue. The growth has been incredible. I mean just

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<v Speaker 5>three years ago, Anthropic was not even really a product

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<v Speaker 5>than what was selling any software. So that rate is

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<v Speaker 5>something that investors are very excited about and why you're

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<v Speaker 5>seeing them able to command evaluation that is now surpassing

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<v Speaker 5>open ai at nine hundred billion pre money. Open Ei

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<v Speaker 5>it was last valued earlier this spring at north of

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<v Speaker 5>seven hundred billion pre money. So that's how you know

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<v Speaker 5>you're seeing now these companies really being neck and neck.

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<v Speaker 3>Of course, it's.

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<v Speaker 5>Still early in the AI game, and these companies are

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<v Speaker 5>constantly surpassing each other with each model release suraring.

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<v Speaker 2>Could this be the final fundraising round before this company?

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<v Speaker 3>I pos it very well could be.

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<v Speaker 5>Both open Ai and Anthropic are eyeing IPOs as soon

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<v Speaker 5>as this fall, as we have reported, So the timing

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<v Speaker 5>year will be critical in terms of how are these

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<v Speaker 5>companies stacking up if and when they do actually move

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<v Speaker 5>forward with public listing.

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<v Speaker 2>Okay, so the question about you know, these the products

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<v Speaker 2>that open ai has and the products that Anthropic has.

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<v Speaker 2>Some people could say, wait a second, we kind of

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<v Speaker 2>look at these as commodities. What are these companies doing

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<v Speaker 2>to try to differentiate themselves from another and why is

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<v Speaker 2>Anthropic seemingly the hot one right now versus OpenAI or

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<v Speaker 2>even other model makers.

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<v Speaker 5>I think Anthropic has had a very strong offering with

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<v Speaker 5>their coding agents clod code. There were early adopters in

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<v Speaker 5>the software industry, and then we started to see that

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<v Speaker 5>roll out to Fortune five hundreds and other major business

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<v Speaker 5>customers who started taking up anthropics automated software AI tools.

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<v Speaker 5>Now that being said, again, it's always a fierce race.

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<v Speaker 5>We've seen Googles so improve its coding agents, Open AI's

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<v Speaker 5>codex tool, so picking up steam. But Anthropic really did

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<v Speaker 5>focus on securing those business use cases for AI earlier

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<v Speaker 5>on and kind of narrowly focus its attention there, and

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<v Speaker 5>that's been its real strength I think in the market.

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<v Speaker 2>Bloomberg Sharene Gafari follow Cherene for more on Bloomberg dot

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<v Speaker 2>com and of course on the Bloomberg terminal. Let's stay

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<v Speaker 2>with Anthropic because Apollo and Blackstone are working to bring

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<v Speaker 2>additional investors into a roughly thirty six billion dollar day

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<v Speaker 2>financing deal to help Anthropic build out. It's AI infrastructure

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<v Speaker 2>of Bloomberg Silas. Brown has the details Silas. This could

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<v Speaker 2>be one of the largest ever private credit deals also

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<v Speaker 2>one of the biggest chip financing debt transactions.

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<v Speaker 3>Take us into the numbers here.

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<v Speaker 6>Yeah, no, I mean they're kind of extraordinary numbers and symptomatic.

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<v Speaker 6>I think of the interest that private credit funds like

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<v Speaker 6>Apollo and Blackstone and notable others like bluell have in

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<v Speaker 6>lending to build out the kind of AI infrastructure around

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<v Speaker 6>these transactions, and so this is I think the largest

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<v Speaker 6>so far. It's going into syndication now and probably being

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<v Speaker 6>sold down to insurance companies, some of which Apollo owns,

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<v Speaker 6>and also other asset managers too. But it's become this

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<v Speaker 6>kind of I guess, like two track thing amongst private

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<v Speaker 6>credit funds, where the larger ones will take big positions

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<v Speaker 6>initially and then seek to sell down, sell down some

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<v Speaker 6>of the some of the risk through syndication. It's quite

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<v Speaker 6>an interesting development in like private some grade credit.

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<v Speaker 3>Well, as we're just covering with Sharen.

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<v Speaker 2>If you look at the equity side of this and

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<v Speaker 2>the way venture capitalists are venture capitalists are so excited

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<v Speaker 2>to invest in anthropic What can you tell us about

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<v Speaker 2>demand on the credit side.

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<v Speaker 6>Well, it may well be the next great savior of

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<v Speaker 6>private credit, because I mean, you know, the big problem

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<v Speaker 6>that they've had over the last year is a kind

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<v Speaker 6>of building of concentration around software, software as a service

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<v Speaker 6>and a lot of questions and concerns about you know,

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<v Speaker 6>portfolio concentration in software as a service and what better

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<v Speaker 6>place to park your money in the very thing that

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<v Speaker 6>seems to be disrupting the SaaS industry. So I think,

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<v Speaker 6>you know, you're seeing quite a lot of demand from

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<v Speaker 6>the larger asset managers, think Areas, think Apollo, I think

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<v Speaker 6>think Blackstone to try to help fund the build out.

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<v Speaker 6>Anything to connect the insurance capital that they manage with,

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<v Speaker 6>you know, with these sort of opt unities is very

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<v Speaker 6>much the topic du jour in private credit.

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<v Speaker 2>Yes, so I'm glad you brought up sort of the

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<v Speaker 2>irony of investing in the thing that's disrupting those existing investments,

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<v Speaker 2>the idea of software being disrupted by what cloud can

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<v Speaker 2>do and what open ai can do as well. Before

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<v Speaker 2>we let you go, just just give us a general overview.

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<v Speaker 2>You know, if we were talking and in a different world,

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<v Speaker 2>we'd be talking about all the challenges that the private

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<v Speaker 2>credit industry has faced. Could this be the great savior

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<v Speaker 2>for private credit?

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<v Speaker 3>Well?

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<v Speaker 6>Look, I mean I think I think my general view

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<v Speaker 6>is like, you know, what what do these what do

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<v Speaker 6>the like leading private credit firms want to speak about

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<v Speaker 6>at the moment. The thing that they don't want to

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<v Speaker 6>speak about is, I guess like leverage finance, kind of

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<v Speaker 6>sub investment grade kind of traditional direct lending. What private

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<v Speaker 6>credit is known for. What they want to speak about

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<v Speaker 6>is investment grade opportunities pushing into these areas like AI,

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<v Speaker 6>energy transition. I mean, that's where they see the opportunity set.

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<v Speaker 6>And I think, you know, I guess like to not

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<v Speaker 6>to not sort of you know, not to be sick funny,

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<v Speaker 6>but sort of the visionaries in private credit, I think

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<v Speaker 6>we'd see the lasting opportunity set being more in the

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<v Speaker 6>investment grade space, and that is AI, that's energy transition.

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<v Speaker 6>It's all of those sort of opportunities that help match

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<v Speaker 6>insurance capital with you know, with these kind of private

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<v Speaker 6>investment grade opportunities.

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<v Speaker 2>Silas Brown joining us from London our Bloomberg News bureau. There, Silas,

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<v Speaker 2>good to see you. Have a great weekend well. Coming

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<v Speaker 2>up next, Dell is soaring the companies full year sales

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<v Speaker 2>outlook crush Wall Streets estimates. Look at that, the stock

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<v Speaker 2>up more than thirty percent. We're going to have much

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<v Speaker 2>more on this next. This is Bloomberg Tech.

0:11:50.600 --> 0:11:50.880
<v Speaker 3>Shares.

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<v Speaker 2>Adele are surging this up for the hardware giants. Outlook

0:11:53.440 --> 0:11:55.160
<v Speaker 2>far surpassed Wall Street estimates.

0:11:55.160 --> 0:11:55.640
<v Speaker 3>It boosted.

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<v Speaker 2>It's full your sales outlook to a massive one hundred

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<v Speaker 2>and sixty seven billion dollars chairs up right now by

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<v Speaker 2>thirty one and a half percent. It's the top performer

0:12:02.760 --> 0:12:04.600
<v Speaker 2>in the S and P five hundred. It's having its

0:12:04.679 --> 0:12:07.800
<v Speaker 2>best day ever. It's all fueled by sixty billion dollar

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<v Speaker 2>forecast for AI servers alone. Here's what del CFO David

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<v Speaker 2>Kennedy had to say post earnings.

0:12:14.640 --> 0:12:17.520
<v Speaker 7>Eighty eight percent revenue growth, you know, two hundred and

0:12:17.520 --> 0:12:20.760
<v Speaker 7>fourteen percent EPs growth and record cash flows you know,

0:12:20.840 --> 0:12:25.520
<v Speaker 7>built on real, durable and accelerating globally. The amount of

0:12:25.520 --> 0:12:28.360
<v Speaker 7>infrastructure that's needed out there. If you look at this,

0:12:28.679 --> 0:12:31.720
<v Speaker 7>you know, really production at scale. All of those things

0:12:31.720 --> 0:12:33.800
<v Speaker 7>have given us confidence, as you say, to add to

0:12:33.880 --> 0:12:37.280
<v Speaker 7>that full year guide, adding twenty seven billion dollars to

0:12:37.320 --> 0:12:40.320
<v Speaker 7>the revenue one hundred and sixty sixty seven billion dollars

0:12:40.360 --> 0:12:44.400
<v Speaker 7>now almost fifty percent increase year on year. EPs is

0:12:44.440 --> 0:12:48.120
<v Speaker 7>seventeen dollars and ninety cents. Really strong and you know,

0:12:48.440 --> 0:12:49.920
<v Speaker 7>really looking forward to the year ahead.

0:12:50.800 --> 0:12:54.800
<v Speaker 8>David, is this coming from sort of one single hyperscala customer.

0:12:55.400 --> 0:12:57.480
<v Speaker 8>Is it the neo clouds or is there more sort

0:12:57.480 --> 0:12:59.720
<v Speaker 8>of granularity you can give me about what is actually

0:12:59.720 --> 0:13:03.839
<v Speaker 8>happening in the world. Completely acknowledge that the CPU server

0:13:04.000 --> 0:13:06.640
<v Speaker 8>is back, right, that's clear in the court of gone,

0:13:06.760 --> 0:13:09.280
<v Speaker 8>but there must be something more happening under the surface here.

0:13:10.840 --> 0:13:13.400
<v Speaker 7>Yes, this is more broad based and more prevalent across

0:13:13.440 --> 0:13:17.400
<v Speaker 7>the ecosystem and our solutions. So CSG growth seventeen percent

0:13:17.400 --> 0:13:20.439
<v Speaker 7>growth in Q one, we're guiding almost similar in Q

0:13:20.520 --> 0:13:24.280
<v Speaker 7>two you mentioned the traditional server Networking business group ninety

0:13:24.280 --> 0:13:27.880
<v Speaker 7>two percent and Q one we're expecting a strong guide

0:13:28.000 --> 0:13:28.800
<v Speaker 7>to go through the year.

0:13:29.240 --> 0:13:30.319
<v Speaker 3>Obviously, we've taken up.

0:13:30.280 --> 0:13:34.280
<v Speaker 7>Our AI Storage guide, our server guide to sixty billion

0:13:34.320 --> 0:13:37.200
<v Speaker 7>dollars and storage will grow every single quarter to go

0:13:37.240 --> 0:13:37.720
<v Speaker 7>to the year.

0:13:37.760 --> 0:13:39.120
<v Speaker 3>So it's more prevalent.

0:13:39.080 --> 0:13:43.319
<v Speaker 7>Across our products, across our verticals, across our customer base,

0:13:43.720 --> 0:13:46.280
<v Speaker 7>so really more broad based and you know AI demand

0:13:46.320 --> 0:13:48.400
<v Speaker 7>if you like, beyond the GPU in terms of the

0:13:48.440 --> 0:13:49.840
<v Speaker 7>opportunities ahead.

0:13:50.280 --> 0:13:53.880
<v Speaker 8>Can you quantify that the AI demand but beyond the GPU.

0:13:55.400 --> 0:13:55.600
<v Speaker 3>Yeah.

0:13:55.600 --> 0:13:57.360
<v Speaker 7>If you look at our guide, it's up twenty seven

0:13:57.440 --> 0:13:58.160
<v Speaker 7>billion dollars.

0:13:58.600 --> 0:14:00.080
<v Speaker 3>We've taken our AI guide up.

0:14:00.280 --> 0:14:03.480
<v Speaker 7>Ten billion dollars from fifty billion to sixty billion. So

0:14:03.480 --> 0:14:05.880
<v Speaker 7>obviously the rest is in our core business and it's

0:14:05.880 --> 0:14:09.720
<v Speaker 7>more prevalent across c ISG, traditional server and the storage market.

0:14:09.840 --> 0:14:11.480
<v Speaker 7>So you know, strong across the board.

0:14:11.720 --> 0:14:15.880
<v Speaker 8>Have you set yourself a new baseline going forward of

0:14:15.880 --> 0:14:19.160
<v Speaker 8>what the world is like for particularly the AI server business.

0:14:19.800 --> 0:14:22.200
<v Speaker 7>Yeah, I think it goes beyond the AI server business.

0:14:22.240 --> 0:14:24.720
<v Speaker 7>I think it's AI demand and total across the solution

0:14:25.040 --> 0:14:28.320
<v Speaker 7>and infrastructure stack that's there. If you look at the

0:14:28.320 --> 0:14:31.560
<v Speaker 7>broad based opportunities that are appearing, I think as we

0:14:31.600 --> 0:14:35.400
<v Speaker 7>move from training models into inferencing, those inferencing workloads are

0:14:35.440 --> 0:14:37.760
<v Speaker 7>creating a net new environment, a net new tim if

0:14:37.800 --> 0:14:41.520
<v Speaker 7>you like, that's there to go attack and go go balance.

0:14:41.600 --> 0:14:45.360
<v Speaker 7>From a customer perspective, we're seeing that and those education

0:14:45.440 --> 0:14:48.320
<v Speaker 7>elements are coming in as part of the opportunity that's

0:14:48.320 --> 0:14:50.680
<v Speaker 7>in front of us. We're excited by that, and I

0:14:50.720 --> 0:14:53.200
<v Speaker 7>think that makes it a more broad based, durable growth

0:14:53.480 --> 0:14:55.200
<v Speaker 7>over the long term for us as we see that.

0:14:55.600 --> 0:14:58.320
<v Speaker 8>I appreciate the You've outlined twice that it's broad based.

0:14:58.680 --> 0:15:01.680
<v Speaker 8>Was there one big custom them or even sector in

0:15:01.720 --> 0:15:04.960
<v Speaker 8>the court of gone or one big customer sector for

0:15:05.040 --> 0:15:07.480
<v Speaker 8>the outlook in the year that has changed the trajectory

0:15:07.520 --> 0:15:08.280
<v Speaker 8>for you.

0:15:08.320 --> 0:15:10.880
<v Speaker 7>No, it's again more broad based. If you look at

0:15:10.880 --> 0:15:15.200
<v Speaker 7>our segments Neo clouds, Sovereign, those enterprise customers you will

0:15:15.240 --> 0:15:18.240
<v Speaker 7>have meant heard and spoke with Michael last week in

0:15:18.280 --> 0:15:22.520
<v Speaker 7>relation to our five thousand customers and the enterprise side

0:15:22.640 --> 0:15:25.480
<v Speaker 7>in relation to AI. As we broad base out those

0:15:25.520 --> 0:15:28.480
<v Speaker 7>AI factories, you know there's growing. If you look at

0:15:28.480 --> 0:15:32.520
<v Speaker 7>our five quarter pipeline, all individual virtuals are growing in

0:15:32.560 --> 0:15:35.320
<v Speaker 7>their own right and it shows again that the scale

0:15:35.360 --> 0:15:38.240
<v Speaker 7>and the opportunity that's both geo and virtual based.

0:15:38.920 --> 0:15:41.840
<v Speaker 2>That was del CFO David Kennedy speaking with Bloomberg's at

0:15:41.920 --> 0:15:45.680
<v Speaker 2>Ludlow just yesterday. Well Dell's message was clear, AI spending

0:15:45.760 --> 0:15:48.480
<v Speaker 2>is not slowing. Let's bring in Janet Mui, head of

0:15:48.560 --> 0:15:51.200
<v Speaker 2>market analysis over at RBC Bruant Dolphin who says that

0:15:51.480 --> 0:15:53.440
<v Speaker 2>we're moving from the build phase of AI to the

0:15:53.480 --> 0:15:56.040
<v Speaker 2>deployment phase. I want to talk about what the deployment

0:15:56.040 --> 0:15:57.800
<v Speaker 2>phase looks like, but first I just want to talk

0:15:57.800 --> 0:16:00.840
<v Speaker 2>a little bit about big picture, you know, results that

0:16:00.880 --> 0:16:02.680
<v Speaker 2>you'd see from a company like Dell. When you see

0:16:02.800 --> 0:16:05.840
<v Speaker 2>shares up this year by two hundred and thirty two percent.

0:16:06.160 --> 0:16:09.040
<v Speaker 2>You look at the chart here, Janet, this thing is parabolic.

0:16:09.480 --> 0:16:12.160
<v Speaker 2>Does this give you any pause when you look at

0:16:12.200 --> 0:16:15.040
<v Speaker 2>historically the way valuations have risen in the past in

0:16:15.120 --> 0:16:17.360
<v Speaker 2>such a short time, and then what happens afterward?

0:16:18.960 --> 0:16:22.200
<v Speaker 9>Well, thanks for having me. Well, I think the AI

0:16:22.280 --> 0:16:25.320
<v Speaker 9>theme is really strong. I think the results from Dell

0:16:25.440 --> 0:16:27.680
<v Speaker 9>is simply stunning. But it's not just Dell. I mean,

0:16:27.840 --> 0:16:30.640
<v Speaker 9>if you look across the earnings season in Q one,

0:16:31.360 --> 0:16:35.040
<v Speaker 9>I think almost all the players in the AI ecosystem,

0:16:35.120 --> 0:16:40.320
<v Speaker 9>particularly in hardware and semiconductors, they all delivered stunning results

0:16:40.400 --> 0:16:44.320
<v Speaker 9>that handlely bait expectations. So what you're talking about is

0:16:44.440 --> 0:16:48.880
<v Speaker 9>really exponential growth in the entire AI ecosystem. So that's

0:16:48.920 --> 0:16:52.520
<v Speaker 9>a very deep profit tool that we're talking about. The

0:16:52.560 --> 0:16:55.640
<v Speaker 9>companies in there, they all need each other, so that's

0:16:55.680 --> 0:17:00.200
<v Speaker 9>why we're seeing this growth is really broadening out. So

0:17:00.280 --> 0:17:03.480
<v Speaker 9>I think this is still a very much strong circular theme.

0:17:03.520 --> 0:17:06.440
<v Speaker 9>And in terms of valuation, of course, there are companies

0:17:06.520 --> 0:17:10.560
<v Speaker 9>that valuations could look a little bit elevated or even frothy.

0:17:11.000 --> 0:17:13.520
<v Speaker 9>But if you look at the Postage House in Video,

0:17:13.800 --> 0:17:17.400
<v Speaker 9>you know, TSMC, they're still having forward p in the twenties.

0:17:17.880 --> 0:17:20.600
<v Speaker 9>So I don't see it, you know, as a bubble,

0:17:20.720 --> 0:17:23.480
<v Speaker 9>and I still see it as a very much, very

0:17:23.520 --> 0:17:24.640
<v Speaker 9>strong investible theme.

0:17:25.240 --> 0:17:27.679
<v Speaker 2>Where are the investible areas right now? I mean, if

0:17:27.680 --> 0:17:30.119
<v Speaker 2>somebody looks at what Dell's doing for today, for example,

0:17:30.160 --> 0:17:32.480
<v Speaker 2>up thirty two percent, maybe they think, okay, well maybe

0:17:32.520 --> 0:17:35.119
<v Speaker 2>I missed that boat. But where else if this is

0:17:35.160 --> 0:17:37.480
<v Speaker 2>indeed broadening out, and if it's broadening out from the

0:17:37.480 --> 0:17:40.639
<v Speaker 2>build phase to the deployment phase, as you view it,

0:17:40.680 --> 0:17:41.760
<v Speaker 2>where are the opportunities?

0:17:43.520 --> 0:17:47.600
<v Speaker 9>Yeah? Sure, So I think broadly speaking, the most visibility

0:17:47.680 --> 0:17:51.719
<v Speaker 9>is still in the AI hardware and semiconductor space. So

0:17:52.320 --> 0:17:55.640
<v Speaker 9>you know, we definitely acknowledge that there has been stunnying returns,

0:17:55.680 --> 0:17:58.400
<v Speaker 9>but it could still go on. I think we shouldn't

0:17:58.400 --> 0:18:01.560
<v Speaker 9>really fight the trend there with the most visible of

0:18:01.600 --> 0:18:04.560
<v Speaker 9>the earnings and group there. I think memory is another

0:18:04.720 --> 0:18:09.440
<v Speaker 9>interesting area, given that if you hear from the tech executives,

0:18:09.440 --> 0:18:12.239
<v Speaker 9>they're all saying memory is the botshole neck and it

0:18:12.280 --> 0:18:15.919
<v Speaker 9>could last for the next, you know, at least two years.

0:18:16.800 --> 0:18:18.639
<v Speaker 9>So I think that's a very interesting part. And I

0:18:18.640 --> 0:18:22.480
<v Speaker 9>think in terms of AI deployment, we're really seeing real

0:18:22.560 --> 0:18:26.959
<v Speaker 9>tangible benefits for our companies. And I think for some

0:18:27.280 --> 0:18:32.520
<v Speaker 9>areas of software that has been quite significant sell off,

0:18:32.680 --> 0:18:36.840
<v Speaker 9>which presents opportunities for those companies that truly owns the

0:18:37.080 --> 0:18:43.240
<v Speaker 9>ecosystem to enable that enterprise AI deployment and rollout. So

0:18:43.320 --> 0:18:46.879
<v Speaker 9>we see some opportunities in those companies, but we really

0:18:46.920 --> 0:18:49.560
<v Speaker 9>have to be very selective in terms of the software space.

0:18:49.720 --> 0:18:52.159
<v Speaker 2>Yeah, we're even chart of Micron four point six percent

0:18:52.200 --> 0:18:55.520
<v Speaker 2>today that stock, that company surpassing a trillion dollar market

0:18:55.520 --> 0:18:59.800
<v Speaker 2>cap this week Skhnix over in Korea doing much of

0:18:59.840 --> 0:19:03.159
<v Speaker 2>the same. What about a broadening out two companies that

0:19:03.200 --> 0:19:06.320
<v Speaker 2>are not necessarily within technology, And I asked this because

0:19:06.320 --> 0:19:10.520
<v Speaker 2>if we talk to the executives at any company right now,

0:19:11.040 --> 0:19:14.560
<v Speaker 2>whether it's in payments, whether it's in consumer package goods,

0:19:14.560 --> 0:19:16.600
<v Speaker 2>whether it's in banking, they're going to all tell us

0:19:16.600 --> 0:19:19.359
<v Speaker 2>the same thing. We are harnessing AI right now to

0:19:19.440 --> 0:19:21.800
<v Speaker 2>make our product better and to make us more efficient.

0:19:22.200 --> 0:19:24.600
<v Speaker 2>When do we start to see those companies be the

0:19:24.600 --> 0:19:28.040
<v Speaker 2>real beneficiaries of the technology that these tech companies are

0:19:28.040 --> 0:19:28.920
<v Speaker 2>building and deploying.

0:19:31.040 --> 0:19:33.480
<v Speaker 9>Yeah, of course we are already starting to see that, right.

0:19:34.160 --> 0:19:38.760
<v Speaker 9>So I think we see that across many top players

0:19:38.760 --> 0:19:42.159
<v Speaker 9>in a broad range of industries. But I think the

0:19:42.280 --> 0:19:45.200
<v Speaker 9>key is that those players, they do have to have

0:19:45.560 --> 0:19:48.480
<v Speaker 9>the capital to spend on AI to make sure that

0:19:48.520 --> 0:19:51.800
<v Speaker 9>you have the lead over other players. And I also

0:19:51.920 --> 0:19:54.280
<v Speaker 9>think that they do have to have some sort of

0:19:54.280 --> 0:20:00.000
<v Speaker 9>competitive edged themselves that they could realize those AI putents,

0:20:00.280 --> 0:20:03.080
<v Speaker 9>because I think that the danger is that if all

0:20:03.119 --> 0:20:05.360
<v Speaker 9>of the companies, if they're not big enough, if they

0:20:05.359 --> 0:20:08.760
<v Speaker 9>don't have competitive ash, they spend on AI. And if

0:20:08.800 --> 0:20:12.320
<v Speaker 9>everyone spends on AI, then the you know, the economic

0:20:12.400 --> 0:20:15.800
<v Speaker 9>value that the surplus will be captured ultimately by consumers

0:20:16.119 --> 0:20:18.920
<v Speaker 9>rather than those companies. So I think the core thesis

0:20:19.000 --> 0:20:23.000
<v Speaker 9>is that those companies, they originally they do have to

0:20:23.040 --> 0:20:25.520
<v Speaker 9>have a competitive ash to start with. That's why we're

0:20:25.600 --> 0:20:29.639
<v Speaker 9>always preferred companies who have mold, who have a quality bias,

0:20:29.720 --> 0:20:33.359
<v Speaker 9>and who are compig players and top top tier players

0:20:33.400 --> 0:20:34.199
<v Speaker 9>in the industries.

0:20:34.880 --> 0:20:39.000
<v Speaker 2>Jenemly of RBC Bruin Dolphin joining us today from London.

0:20:39.160 --> 0:20:40.760
<v Speaker 2>Thanks so much, Janner, appreciate your time.

0:20:41.240 --> 0:20:41.720
<v Speaker 3>We're coming up.

0:20:41.760 --> 0:20:44.960
<v Speaker 2>Lenovo logging its past month in more than a quarter century.

0:20:45.320 --> 0:20:47.640
<v Speaker 2>We're going to tell you why right after this. This

0:20:47.880 --> 0:21:11.840
<v Speaker 2>is Bloomberg Tech. It's sign out for talking tech. First up,

0:21:11.960 --> 0:21:14.880
<v Speaker 2>Lenovo logging its best month and more than a quarter century.

0:21:15.080 --> 0:21:18.280
<v Speaker 2>Shares doubled in May as a massive AI infrastructure rally

0:21:18.280 --> 0:21:22.560
<v Speaker 2>catches fire across Asia following Dell's blockbuster forecast, investors are

0:21:22.560 --> 0:21:27.639
<v Speaker 2>increasingly viewing Lenovo as a potential AI infrastructure play. Plus,

0:21:27.680 --> 0:21:31.119
<v Speaker 2>Japan's finance minister announced that the country's megabanks will get

0:21:31.160 --> 0:21:34.280
<v Speaker 2>access to open AI's latest model to continue to counter

0:21:34.520 --> 0:21:37.840
<v Speaker 2>escalating cyber threats. That move coming as Japan's biggest banks

0:21:37.840 --> 0:21:42.120
<v Speaker 2>are also set to start using anthropics mythos, and Taiwan

0:21:42.240 --> 0:21:45.199
<v Speaker 2>is forecasting as fast as x work growth in fifty years.

0:21:45.359 --> 0:21:48.320
<v Speaker 2>The Tech Hub just revised its twenty twenty six GDP

0:21:48.480 --> 0:21:52.000
<v Speaker 2>growth outlook to nine point six four percent, fueled by

0:21:52.000 --> 0:21:55.919
<v Speaker 2>an expected forty percent explosion in exports. The economy of

0:21:55.920 --> 0:21:58.600
<v Speaker 2>the Hub for advanced tech like semiconductors has been one

0:21:58.600 --> 0:22:03.080
<v Speaker 2>of the biggest beneficiary of the AI era. We'll coming

0:22:03.160 --> 0:22:06.320
<v Speaker 2>up about next Anthropic surpassing Open AI for the first

0:22:06.359 --> 0:22:08.879
<v Speaker 2>time in the AI race with a wopping nine hundred

0:22:08.920 --> 0:22:12.520
<v Speaker 2>and sixty five billion dollar valuation. We're gonna have the

0:22:12.560 --> 0:22:15.240
<v Speaker 2>details on that in just a minute. In the meantime,

0:22:15.320 --> 0:22:16.960
<v Speaker 2>taking a look at the s and P five hundred

0:22:17.280 --> 0:22:19.440
<v Speaker 2>up right now by three tenths of one percent, the

0:22:19.520 --> 0:22:22.600
<v Speaker 2>NASDAK Composit up by two tenths, the Dell on this day,

0:22:23.000 --> 0:22:26.439
<v Speaker 2>up by more than seven tenths of one percent, the

0:22:26.480 --> 0:22:29.320
<v Speaker 2>socks flat on the day today in Dell, we'll look

0:22:29.359 --> 0:22:32.800
<v Speaker 2>at that up on earnings and that outlook a wopping

0:22:32.960 --> 0:22:35.840
<v Speaker 2>thirty percent right now in the Nasdaq one hundred up

0:22:35.920 --> 0:22:38.879
<v Speaker 2>three tenths of one percent. More on Anthropic in just

0:22:38.920 --> 0:22:42.200
<v Speaker 2>a minute. It is halftime and this is Bloomberg Tech.

0:23:00.680 --> 0:23:03.520
<v Speaker 2>I'm Tim Steneveek in for Caroline and Ed today. Welcome

0:23:03.560 --> 0:23:07.000
<v Speaker 2>back to Bloomberg Tech. Let's get check back on these

0:23:07.119 --> 0:23:10.520
<v Speaker 2>markets and highlight the record highs for tech indexes such

0:23:10.520 --> 0:23:13.040
<v Speaker 2>as the Nasdaq one hundred that Benjamink set to post

0:23:13.080 --> 0:23:16.040
<v Speaker 2>another gain on the week, taking the monthly rally to

0:23:16.080 --> 0:23:18.600
<v Speaker 2>more than ten percent. Look at that over the last month,

0:23:18.760 --> 0:23:21.639
<v Speaker 2>eleven point six percent higher on the Nasdaq one hundred.

0:23:21.920 --> 0:23:25.040
<v Speaker 2>This as the AI stock boom continues, with positive earnings

0:23:25.080 --> 0:23:29.919
<v Speaker 2>fueling optimism across Asian, European and US equities. Well, speaking

0:23:29.920 --> 0:23:32.600
<v Speaker 2>of optimism, let's get back to Anthropic. The company raised

0:23:32.760 --> 0:23:36.080
<v Speaker 2>a massive sixty five billion dollars in its latest funding round,

0:23:36.680 --> 0:23:39.640
<v Speaker 2>exploding its valuation in nearly a trillion dollars in eclipsing

0:23:39.720 --> 0:23:42.480
<v Speaker 2>rival Open AI for the first time. Rebecca Bloomberg's Rebecca

0:23:42.520 --> 0:23:45.119
<v Speaker 2>Torrents can tell us more. I have to look at

0:23:45.160 --> 0:23:47.640
<v Speaker 2>these numbers twice, Rebecca, because what we're talking about.

0:23:47.440 --> 0:23:48.480
<v Speaker 3>Is so astronomical.

0:23:48.560 --> 0:23:51.159
<v Speaker 2>I mean, a few years ago we were talking about this,

0:23:51.200 --> 0:23:54.120
<v Speaker 2>nobody would believe not just these fundraising rounds, but also

0:23:54.160 --> 0:23:59.600
<v Speaker 2>these valuations demand to get into Anthropics. Even right now,

0:24:00.160 --> 0:24:03.960
<v Speaker 2>close to a trillion dollars still massive from these metro capitalists.

0:24:04.640 --> 0:24:07.160
<v Speaker 10>It's pretty remarkable. I mean, we reported just a month

0:24:07.200 --> 0:24:11.080
<v Speaker 10>ago that Anthropic was fielding investor inbound at more than

0:24:11.119 --> 0:24:13.840
<v Speaker 10>a nine hundred billion dollar evaluation and wasn't sure yet

0:24:13.840 --> 0:24:15.320
<v Speaker 10>if it was going to take it. And then This

0:24:15.440 --> 0:24:18.880
<v Speaker 10>round came together in a matter of weeks. The original

0:24:18.920 --> 0:24:22.000
<v Speaker 10>target for the round was around thirty billion and closing

0:24:22.040 --> 0:24:27.080
<v Speaker 10>at sixty five, including commitments from strategic investors including hyperscalers

0:24:27.080 --> 0:24:29.600
<v Speaker 10>like Google and Amazon. So it's both a mix of

0:24:29.600 --> 0:24:32.200
<v Speaker 10>those previous commitments but also a lot of excess demand

0:24:32.200 --> 0:24:35.480
<v Speaker 10>from these financial firms. There are four leads in this round,

0:24:35.480 --> 0:24:39.240
<v Speaker 10>typical Silicon Valley venture capital firms, but the full list

0:24:39.720 --> 0:24:41.600
<v Speaker 10>is very long. As people are piling into this.

0:24:41.560 --> 0:24:42.600
<v Speaker 3>One, are are people?

0:24:42.720 --> 0:24:45.280
<v Speaker 2>Are are investors in these firms piling in right now?

0:24:45.320 --> 0:24:47.160
<v Speaker 2>I mean, in other cycles we've talked about in the past,

0:24:48.160 --> 0:24:50.480
<v Speaker 2>let's call them Web two point zero, for example, we

0:24:50.480 --> 0:24:52.399
<v Speaker 2>saw investors come in late because they wanted to be

0:24:52.440 --> 0:24:54.560
<v Speaker 2>part of something that was like almost at that point

0:24:54.560 --> 0:24:57.239
<v Speaker 2>guarante te to be some sort of home run. How

0:24:57.320 --> 0:25:00.960
<v Speaker 2>much is new money coming in versus existing investors?

0:25:00.960 --> 0:25:01.200
<v Speaker 3>Here?

0:25:02.480 --> 0:25:05.359
<v Speaker 10>We've got new and existing investors on this cap table.

0:25:05.400 --> 0:25:07.600
<v Speaker 10>I mean, this is a real mix of you know,

0:25:07.640 --> 0:25:12.320
<v Speaker 10>sort of long time believers in Anthropic and you know,

0:25:12.359 --> 0:25:15.840
<v Speaker 10>sort of Silicon Valley heavyweights and crossovers. In anticipation of

0:25:15.880 --> 0:25:19.000
<v Speaker 10>a potential IPO Foranthropic later this year, and as we

0:25:19.119 --> 0:25:23.840
<v Speaker 10>reported Anthropics IPO timeline remains unchanged by this fundraise, despite

0:25:24.000 --> 0:25:25.840
<v Speaker 10>you know, the sixty five billion dollars in new money

0:25:25.880 --> 0:25:29.400
<v Speaker 10>coming in. The company is not planning to delay it's

0:25:29.400 --> 0:25:31.520
<v Speaker 10>IPO at all and could go public as soon as

0:25:31.600 --> 0:25:34.280
<v Speaker 10>later this year. That's similar to what Opening I is

0:25:34.280 --> 0:25:37.400
<v Speaker 10>planning as well, So we could have a crop of

0:25:38.119 --> 0:25:41.000
<v Speaker 10>you know, really massive IPOs later this year, of course,

0:25:41.000 --> 0:25:43.480
<v Speaker 10>following SpaceX, sooner rather than later.

0:25:43.560 --> 0:25:45.719
<v Speaker 2>All right, say what you want about valuations right now.

0:25:45.720 --> 0:25:48.040
<v Speaker 2>It's an exciting time to be covering venture capital for sure.

0:25:48.040 --> 0:25:50.480
<v Speaker 2>Bloomberg's Rebecca Torents, thanks so much, Rebecca.

0:25:50.560 --> 0:25:51.040
<v Speaker 3>Good to see you.

0:25:51.440 --> 0:25:53.639
<v Speaker 2>The question how much of an impact what a I

0:25:53.720 --> 0:25:56.640
<v Speaker 2>have on the workforce, it's the million or maybe even

0:25:56.640 --> 0:25:59.600
<v Speaker 2>trillion dollar question, and according to Muddy Waters Capital CEO

0:25:59.640 --> 0:26:02.360
<v Speaker 2>Carson Luck, it could affect more than one in ten

0:26:02.440 --> 0:26:05.200
<v Speaker 2>knowledge workers. Here's what he told Bloomberg's Haws Slenda I'm

0:26:05.240 --> 0:26:06.040
<v Speaker 2>in this week.

0:26:06.960 --> 0:26:10.600
<v Speaker 11>Our house view is that we're going to see fifteen

0:26:10.920 --> 0:26:15.040
<v Speaker 11>percent displacement of knowledge workers. You know, we think it

0:26:15.040 --> 0:26:16.880
<v Speaker 11>could be as soon as three years.

0:26:17.840 --> 0:26:19.200
<v Speaker 3>Is it four? Is it five?

0:26:19.880 --> 0:26:23.320
<v Speaker 11>At some point and it's in the single digit number

0:26:23.320 --> 0:26:26.879
<v Speaker 11>of years. This will this will be a factor or

0:26:26.920 --> 0:26:29.760
<v Speaker 11>this this will occur in our view, and yes, there

0:26:29.800 --> 0:26:32.840
<v Speaker 11>will be jobs that are created by AI, but we're

0:26:32.840 --> 0:26:37.840
<v Speaker 11>talking about net losses because the technology is increasing in

0:26:37.880 --> 0:26:42.159
<v Speaker 11>capability faster than we humans are able to adapt to it.

0:26:42.880 --> 0:26:45.399
<v Speaker 2>Muddy Water CEO Carson Block there to his slend to

0:26:45.440 --> 0:26:47.400
<v Speaker 2>am In just earlier this week. While our next guest

0:26:47.440 --> 0:26:49.960
<v Speaker 2>thinks that AI could boost productivity at the national level

0:26:50.280 --> 0:26:52.280
<v Speaker 2>and that over the next ten years the trend rate

0:26:52.320 --> 0:26:54.800
<v Speaker 2>of real GDP growth for the US could rise to

0:26:54.800 --> 0:26:58.320
<v Speaker 2>two point four percent, Goldman Sachs demanding Director Matthew were

0:26:58.600 --> 0:27:01.520
<v Speaker 2>joins us now for more So, Matthew, where does this happen?

0:27:01.560 --> 0:27:03.560
<v Speaker 2>This is what everybody's trying to figure out, including the

0:27:03.560 --> 0:27:06.000
<v Speaker 2>Federal Reserve. Ja Powell was asked about this all the time,

0:27:06.040 --> 0:27:08.560
<v Speaker 2>and I can imagine that Kevin Warsh and New Fed

0:27:08.600 --> 0:27:11.000
<v Speaker 2>Shaer will be asked about this all the time. Where

0:27:11.040 --> 0:27:13.480
<v Speaker 2>does the productivity hit in the economy and when?

0:27:14.600 --> 0:27:17.400
<v Speaker 12>Sure, so, we think, in contrast to the last few

0:27:17.400 --> 0:27:22.200
<v Speaker 12>of those expressed, the productivity boost to the economy will

0:27:22.200 --> 0:27:25.560
<v Speaker 12>come gradually over the course of the next ten years.

0:27:25.920 --> 0:27:28.560
<v Speaker 12>We do think, and these are views from our economists.

0:27:28.560 --> 0:27:32.320
<v Speaker 12>Segulement Sachs said about twenty five percent of tasks in

0:27:32.359 --> 0:27:35.840
<v Speaker 12>the US economy could potentially be automated. Now, at the

0:27:35.880 --> 0:27:39.520
<v Speaker 12>headline level, that is a scary number because that would suggest, oh, gosh,

0:27:39.560 --> 0:27:41.680
<v Speaker 12>twenty five percent of jobs are going to be lost.

0:27:41.720 --> 0:27:45.800
<v Speaker 12>But in reality, the vast majority of those tasks will

0:27:45.800 --> 0:27:49.200
<v Speaker 12>be automated, which will free up workers to pivot to

0:27:49.320 --> 0:27:52.399
<v Speaker 12>higher productive tasks. Not all of them will lead to

0:27:52.480 --> 0:27:55.760
<v Speaker 12>job losses. When we think about where that's going to exist,

0:27:55.840 --> 0:27:57.560
<v Speaker 12>we've done a lot of detailed work in terms of

0:27:57.600 --> 0:28:01.119
<v Speaker 12>sector bi sector, Which sectors have the most tasks that

0:28:01.160 --> 0:28:04.600
<v Speaker 12>can be automated. Some sectors are very immune, some sectors

0:28:04.680 --> 0:28:08.080
<v Speaker 12>are quite more vulnerable. But we do think over ten

0:28:08.160 --> 0:28:10.600
<v Speaker 12>years it'll be a gradual process. There will be new

0:28:10.680 --> 0:28:12.760
<v Speaker 12>jobs created as well that will also be higher productive.

0:28:12.800 --> 0:28:14.320
<v Speaker 2>Well, I'm glad you brought up the nuance and sort

0:28:14.320 --> 0:28:16.960
<v Speaker 2>of the distinction map between actually losing jobs and then

0:28:17.000 --> 0:28:19.560
<v Speaker 2>people being freed up to do stuff that's more productive.

0:28:19.720 --> 0:28:22.400
<v Speaker 2>In terms of the vulnerabilities that you and your team

0:28:22.640 --> 0:28:25.720
<v Speaker 2>have identified, what are they? Are they certain jobs, are

0:28:25.720 --> 0:28:29.119
<v Speaker 2>they certain industries? What should people be prepared for In

0:28:29.200 --> 0:28:30.040
<v Speaker 2>terms of disruption.

0:28:31.080 --> 0:28:34.600
<v Speaker 12>Sure, well, I think the jobs that are most client

0:28:34.760 --> 0:28:37.840
<v Speaker 12>or human facing that are probably the safest. It's the jobs, though,

0:28:37.840 --> 0:28:42.320
<v Speaker 12>that have more repetitive tasks that are probably.

0:28:41.960 --> 0:28:43.120
<v Speaker 3>The most vulnerable.

0:28:43.200 --> 0:28:47.400
<v Speaker 12>At this point, we have some colleaguese Glemnsak's research who

0:28:47.400 --> 0:28:51.400
<v Speaker 12>have identified specific areas where there are more vulnerabilities, and

0:28:51.480 --> 0:28:54.200
<v Speaker 12>there are specific segments. But we do think in some

0:28:54.360 --> 0:28:57.160
<v Speaker 12>cases some of the concern with regards to job losses

0:28:57.480 --> 0:29:01.840
<v Speaker 12>are well overdone. You've seen references in certain media publications

0:29:01.880 --> 0:29:05.160
<v Speaker 12>referring to the jobs apocalypse are share and CEO of

0:29:05.200 --> 0:29:07.920
<v Speaker 12>gold and Sacks, David Solomon published an op ed this piece,

0:29:08.480 --> 0:29:11.120
<v Speaker 12>which is the view and we very much believe it

0:29:11.160 --> 0:29:13.400
<v Speaker 12>here at Golden Sachs at in aggregate, there will be

0:29:13.440 --> 0:29:17.040
<v Speaker 12>more jobs created than jobs lost, but we shouldn't take

0:29:17.040 --> 0:29:18.600
<v Speaker 12>away from the fact that this will be a painful

0:29:18.960 --> 0:29:21.640
<v Speaker 12>transition at the individual level in certain sectors.

0:29:21.840 --> 0:29:25.960
<v Speaker 2>Is there a certain historical corollary we can look at.

0:29:26.000 --> 0:29:28.440
<v Speaker 2>I mean, in the past we've heard this era as

0:29:28.560 --> 0:29:32.480
<v Speaker 2>referred to as like a new industrial revolution, but in

0:29:32.560 --> 0:29:35.320
<v Speaker 2>terms of the tech that, in your view you believe

0:29:35.400 --> 0:29:37.920
<v Speaker 2>is being deployed as a result of this investment, and

0:29:38.040 --> 0:29:41.800
<v Speaker 2>as a result of what's happening to infrastructure right now,

0:29:42.160 --> 0:29:44.520
<v Speaker 2>what's a good historical corollary for us to think about.

0:29:45.520 --> 0:29:48.200
<v Speaker 12>Well, one historical corollary that we really like to point to,

0:29:48.240 --> 0:29:50.640
<v Speaker 12>and this is worked by MIT. If you look at

0:29:51.320 --> 0:29:54.080
<v Speaker 12>occupations that exist today, so one hundred and seventy million

0:29:54.200 --> 0:29:57.840
<v Speaker 12>jobs in the US economy, the majority of those jobs

0:29:57.920 --> 0:30:02.480
<v Speaker 12>or occupations I should say, didn't act exist in nineteen forty.

0:30:02.560 --> 0:30:07.200
<v Speaker 12>The innovation technological progress of the US economy is one

0:30:07.200 --> 0:30:09.880
<v Speaker 12>of the reasons the US economy is so dynamic. New

0:30:09.960 --> 0:30:13.520
<v Speaker 12>jobs are always created each and every year, and more

0:30:13.600 --> 0:30:16.560
<v Speaker 12>jobs are created than jobs are lost. I think one

0:30:16.600 --> 0:30:18.360
<v Speaker 12>other thing we should be pointing to is that there

0:30:18.360 --> 0:30:21.240
<v Speaker 12>has been a de industrialization of the US economy over

0:30:21.320 --> 0:30:24.520
<v Speaker 12>several decades. There are many new jobs that exist today

0:30:24.520 --> 0:30:27.600
<v Speaker 12>that didn't exist before. I think we should think about

0:30:27.640 --> 0:30:30.280
<v Speaker 12>over the last twenty five years, the digital economy, the

0:30:30.360 --> 0:30:33.560
<v Speaker 12>Internet that's created a lot of new occupations that didn't

0:30:34.080 --> 0:30:37.600
<v Speaker 12>exist before. Think of influencers, think of gig workers, think

0:30:37.640 --> 0:30:39.320
<v Speaker 12>of the video game sector.

0:30:39.400 --> 0:30:41.080
<v Speaker 3>There are millions and millions of new.

0:30:40.960 --> 0:30:44.280
<v Speaker 12>Jobs that didn't actually exist before. These were also occupations

0:30:44.680 --> 0:30:47.240
<v Speaker 12>that didn't exist. We don't think this time is any different.

0:30:47.280 --> 0:30:49.880
<v Speaker 12>The US economy will adapt and be creating new jobs.

0:30:50.680 --> 0:30:53.640
<v Speaker 2>I hesitate to even ask this question because it's opening

0:30:53.680 --> 0:30:55.840
<v Speaker 2>a real can of worms with just a minute left, Matt.

0:30:55.880 --> 0:30:58.800
<v Speaker 2>But what if it doesn't. What if the promise is

0:30:58.840 --> 0:31:01.719
<v Speaker 2>that that have been made and that investors are betting

0:31:01.720 --> 0:31:03.360
<v Speaker 2>on don't actually come to fruition.

0:31:04.480 --> 0:31:07.520
<v Speaker 12>Yeah, that's a very very important question right now, because

0:31:07.560 --> 0:31:09.840
<v Speaker 12>one of the things we're seeing is that we need

0:31:09.920 --> 0:31:14.640
<v Speaker 12>to see the enterprise users of AI generating profits on

0:31:14.680 --> 0:31:17.800
<v Speaker 12>the back of the investment that they've been making. If

0:31:17.840 --> 0:31:22.040
<v Speaker 12>that occurs, then you have a self perpetuating economic ecosystem

0:31:22.120 --> 0:31:25.280
<v Speaker 12>for the AI complex. Right now, all of the funding

0:31:25.360 --> 0:31:28.280
<v Speaker 12>is primarily coming from external investors as well as cash

0:31:28.320 --> 0:31:32.080
<v Speaker 12>flow from other businesses. Think of the hyperscalers. But right now,

0:31:32.120 --> 0:31:35.719
<v Speaker 12>the only part of the stack that's generating a lot

0:31:35.760 --> 0:31:38.920
<v Speaker 12>of profits on the back of AI are the semiconductor companies.

0:31:39.480 --> 0:31:41.600
<v Speaker 12>So as we think about the stock prices of the

0:31:41.640 --> 0:31:45.000
<v Speaker 12>semiconductor companies as well as the valuations, for example, of

0:31:45.080 --> 0:31:47.760
<v Speaker 12>some of the private companies you mentioned earlier, there is

0:31:47.800 --> 0:31:50.800
<v Speaker 12>some vulnerability here if we don't start to see enterprise

0:31:50.920 --> 0:31:54.280
<v Speaker 12>users generate the profits that are necessary for them to

0:31:54.320 --> 0:31:58.800
<v Speaker 12>continue investing, which will generate revenues for the application companies,

0:31:58.800 --> 0:32:02.120
<v Speaker 12>the model companies, infrastructure, and then the semi conductor companies.

0:32:02.280 --> 0:32:05.800
<v Speaker 2>Matt, we are very thoughtful conversation. I appreciate you taking

0:32:05.840 --> 0:32:07.960
<v Speaker 2>the time in joining us this morning. That's Goldman Sachs

0:32:08.040 --> 0:32:11.440
<v Speaker 2>Manning Director, Matt, and we're joining us in San Francisco. Well,

0:32:11.800 --> 0:32:14.320
<v Speaker 2>what began is a rocket startup, now a big bet

0:32:14.360 --> 0:32:18.040
<v Speaker 2>on satellites, AI and yeah, Mars with a projected valuation

0:32:18.080 --> 0:32:22.040
<v Speaker 2>close to two trillion dollars. SpaceX's IPO could reshade markets.

0:32:22.440 --> 0:32:25.640
<v Speaker 2>But is Wall Street rushing in too fast? Bloomberg Originals

0:32:25.720 --> 0:32:26.480
<v Speaker 2>took a deep dive.

0:32:30.080 --> 0:32:34.360
<v Speaker 13>SpaceX is taking off and we're not just talking about rockets.

0:32:34.800 --> 0:32:36.120
<v Speaker 3>We've never seen anything like this.

0:32:39.240 --> 0:32:42.640
<v Speaker 13>SpaceX's initial public offering is expected to raise as much

0:32:42.640 --> 0:32:46.440
<v Speaker 13>as seventy five billion dollars, more than double the record

0:32:46.480 --> 0:32:49.760
<v Speaker 13>setting twenty nine point four billion dollars raised by Saudi

0:32:49.800 --> 0:32:51.320
<v Speaker 13>Aramco in twenty nineteen.

0:32:52.200 --> 0:32:53.960
<v Speaker 3>This is the biggest s I peer overall time.

0:32:54.200 --> 0:32:57.760
<v Speaker 14>We're looking at two trillion dollars in valuation.

0:32:58.960 --> 0:33:01.280
<v Speaker 15>You on long and said that he didn't really plan

0:33:01.360 --> 0:33:04.640
<v Speaker 15>on taking SpaceX public, but that was before the merger

0:33:04.640 --> 0:33:07.560
<v Speaker 15>with Xai, before he needed tens of billions of dollars

0:33:07.560 --> 0:33:09.760
<v Speaker 15>to build out these ambitions.

0:33:10.400 --> 0:33:13.920
<v Speaker 13>But this massive valuation is also a test. Could all

0:33:13.920 --> 0:33:16.120
<v Speaker 13>this hype make it seem worth more than it is.

0:33:16.560 --> 0:33:19.800
<v Speaker 1>If it's free ordained, then it becomes hard to predict

0:33:19.800 --> 0:33:23.560
<v Speaker 1>how much of the buyers are buying because the fundamentalers

0:33:23.600 --> 0:33:26.520
<v Speaker 1>are the valuation, So then that kind of distorts the market.

0:33:27.120 --> 0:33:29.040
<v Speaker 15>Investors are buying the dream.

0:33:29.080 --> 0:33:36.400
<v Speaker 13>Sure, we all know the dream, but what about the reality.

0:33:37.480 --> 0:33:39.880
<v Speaker 2>SpaceX and the age of the giant IPO. Check out

0:33:39.920 --> 0:33:42.960
<v Speaker 2>the full episode over at Bloomberg dot com or on YouTube,

0:33:43.480 --> 0:33:46.000
<v Speaker 2>and let's just talk about that reality. SpaceX does seem

0:33:46.040 --> 0:33:48.280
<v Speaker 2>to be coming back down to Earth, ever so slightly,

0:33:48.320 --> 0:33:51.520
<v Speaker 2>after cutting its IPO evaluation goal too, at least one

0:33:51.520 --> 0:33:54.200
<v Speaker 2>point eight trillion dollars instead of above two trillion dollars.

0:33:54.200 --> 0:33:55.800
<v Speaker 3>That's according to sources. Let's break it.

0:33:55.720 --> 0:33:58.720
<v Speaker 2>Down with Bloomberg Intelligence analyst George Fergus and Georgia can't

0:33:58.720 --> 0:34:02.000
<v Speaker 2>help but smile when I see those numbers, because I mean,

0:34:02.040 --> 0:34:04.000
<v Speaker 2>coming back down to Earth, it's all relative. When we're

0:34:04.000 --> 0:34:06.280
<v Speaker 2>talking about you know this blockbuster. What could be the

0:34:06.280 --> 0:34:10.080
<v Speaker 2>biggest IPO ever one point eight trillion dollars. You have

0:34:10.160 --> 0:34:14.680
<v Speaker 2>spent many years of valuing companies in aerospace. What is

0:34:14.719 --> 0:34:18.160
<v Speaker 2>the valuation promise of a one point eight trillion dollar

0:34:18.280 --> 0:34:23.759
<v Speaker 2>market cap? When SpaceX what has you know, revenue in

0:34:23.840 --> 0:34:26.560
<v Speaker 2>twenty twenty four of fourteen billion dollars.

0:34:29.000 --> 0:34:32.840
<v Speaker 16>Yeah, so obviously those numbers are quite lofty. You know,

0:34:32.840 --> 0:34:35.719
<v Speaker 16>we're spending some time right now doing our sort of

0:34:36.160 --> 0:34:41.719
<v Speaker 16>some of the parts analysis on SpaceX's value, and my

0:34:42.160 --> 0:34:45.879
<v Speaker 16>friends Man Deep and his team in the AI side

0:34:45.880 --> 0:34:48.720
<v Speaker 16>of Bloomberg Intelligence, there's sort of at a four hundred

0:34:48.760 --> 0:34:54.880
<v Speaker 16>billion dollars for XAI, and John Butler, who runs our

0:34:54.920 --> 0:34:59.880
<v Speaker 16>telecommunications analysis, he's at sort of six hundred billion four

0:35:00.920 --> 0:35:05.600
<v Speaker 16>for the communications for the satellite constellation. And you know,

0:35:05.640 --> 0:35:09.120
<v Speaker 16>on the on the launch side, we kind of we're

0:35:09.120 --> 0:35:14.680
<v Speaker 16>looking at companies like rocket Lab that are ninety times revenue,

0:35:15.520 --> 0:35:17.080
<v Speaker 16>and when we look at what we you know, what

0:35:17.120 --> 0:35:21.839
<v Speaker 16>we think revenue is for SpaceX launch business, including their

0:35:21.880 --> 0:35:24.360
<v Speaker 16>internal launch they don't which they don't put in the

0:35:24.440 --> 0:35:29.040
<v Speaker 16>revenue numbers you cited. We think that that's the market

0:35:29.080 --> 0:35:34.800
<v Speaker 16>says it's worth one point two sort of trillion dollars. Again,

0:35:34.840 --> 0:35:39.080
<v Speaker 16>that's a multiple of revenue, which is always aggressive. It's

0:35:39.120 --> 0:35:40.960
<v Speaker 16>a very high multiple of revenue that gets them to

0:35:41.040 --> 0:35:44.000
<v Speaker 16>around two trillion dollars and a lot of it built

0:35:44.160 --> 0:35:49.759
<v Speaker 16>on the rocket launch business. So definitely some very lofty valuations.

0:35:49.880 --> 0:35:52.520
<v Speaker 2>Well, it brings us to the Musk factor here, George,

0:35:52.520 --> 0:35:53.759
<v Speaker 2>and I think there are a lot of people over

0:35:53.760 --> 0:35:56.720
<v Speaker 2>the last decade who have said, you know, the Tesla

0:35:56.840 --> 0:35:58.879
<v Speaker 2>is not valued as an auto company, and you really

0:35:58.880 --> 0:36:02.960
<v Speaker 2>have to divorce additional valuation metrics in order to get

0:36:02.960 --> 0:36:05.680
<v Speaker 2>to a number that we believe is the opportunity for Tesla.

0:36:06.160 --> 0:36:08.759
<v Speaker 2>I know you cover aerospace and your background is in

0:36:08.840 --> 0:36:13.080
<v Speaker 2>aerospace and defense, but is that the extra six hundred

0:36:13.480 --> 0:36:14.520
<v Speaker 2>billion dollars here?

0:36:14.600 --> 0:36:15.480
<v Speaker 3>Is that Elon Musk?

0:36:16.800 --> 0:36:20.239
<v Speaker 16>So I think you have to have to in order

0:36:20.280 --> 0:36:23.600
<v Speaker 16>to buy into this IPO valuation. I think you have

0:36:23.680 --> 0:36:27.080
<v Speaker 16>to believe in Elon Musk and the dream as you

0:36:27.120 --> 0:36:30.600
<v Speaker 16>mentioned earlier, and look, I think there's good reasons to

0:36:30.600 --> 0:36:32.839
<v Speaker 16>believe in them. You have to decide what value you're

0:36:32.840 --> 0:36:36.360
<v Speaker 16>willing to pay for it. But you know, like we

0:36:36.400 --> 0:36:40.400
<v Speaker 16>saw yesterday, we saw Blue Origin, you know, had a

0:36:40.520 --> 0:36:43.879
<v Speaker 16>one of their engines blow up on the bad down

0:36:43.920 --> 0:36:48.840
<v Speaker 16>in Cape Canaveral yesterday. You know, they're about three launches

0:36:48.920 --> 0:36:53.280
<v Speaker 16>deep on New Glen. It's not as easy as Elon

0:36:53.400 --> 0:36:55.960
<v Speaker 16>Musk has made it look. He shot you know, his

0:36:56.080 --> 0:36:59.759
<v Speaker 16>company shot off almost one hundred and seventy rockets last

0:36:59.880 --> 0:37:02.960
<v Speaker 16>year year with minimal problems compared to what's going on

0:37:03.040 --> 0:37:06.960
<v Speaker 16>right now Blue Origin. So there is a track record

0:37:07.040 --> 0:37:11.480
<v Speaker 16>of success from Elon Musk and his companies. I'm not

0:37:11.520 --> 0:37:13.960
<v Speaker 16>saying that makes the valuation correct, but you have to

0:37:14.000 --> 0:37:17.200
<v Speaker 16>buy into that. And Elon has shown a lot of

0:37:17.200 --> 0:37:18.320
<v Speaker 16>success in what he's done.

0:37:18.360 --> 0:37:20.080
<v Speaker 2>And maybe if it goes into the index, we'll all

0:37:20.080 --> 0:37:22.239
<v Speaker 2>have to buy into it, whether we want to or not.

0:37:22.840 --> 0:37:26.640
<v Speaker 2>George Ferguson of Bloomberg Intelligence, George, thanks so much. George

0:37:26.640 --> 0:37:29.839
<v Speaker 2>did mention Blue Origin. We're going to be talking about

0:37:29.840 --> 0:37:31.759
<v Speaker 2>that with Lauren Brush in a few minutes. Coming up though,

0:37:31.760 --> 0:37:34.120
<v Speaker 2>Before that, we're going to hear from Google deep minds

0:37:34.160 --> 0:37:37.440
<v Speaker 2>head of robotics, Caroline Parata, on her take on the

0:37:37.440 --> 0:37:51.520
<v Speaker 2>future of embodied AI. This is Bloomberg Tech. Google deep

0:37:51.520 --> 0:37:54.960
<v Speaker 2>mind says humanoid robotics is one of the key focus areas.

0:37:55.320 --> 0:37:58.920
<v Speaker 2>Carolina Parata, who leads the company's robot Mobility and robot

0:37:59.000 --> 0:38:02.480
<v Speaker 2>Vision group spoke with Bloomberg Tech Asia's Sharry On at

0:38:02.480 --> 0:38:05.840
<v Speaker 2>the Humanoid Summit in Tokyo about why she sees embodied

0:38:05.840 --> 0:38:07.360
<v Speaker 2>AI as the next frontier.

0:38:08.280 --> 0:38:11.359
<v Speaker 17>We've been working on bringing Gemini into the physical world,

0:38:11.800 --> 0:38:13.319
<v Speaker 17>and what that does is that it brings all of

0:38:13.360 --> 0:38:17.320
<v Speaker 17>Gemini's world understanding multimodality in order to enable robots to

0:38:17.400 --> 0:38:20.480
<v Speaker 17>understand their environment, to reason, and to be able to

0:38:20.520 --> 0:38:23.440
<v Speaker 17>take action to the level of precision of a human expert.

0:38:23.719 --> 0:38:26.800
<v Speaker 18>I just mentioned that partnership with Boston Dynamics. So Gemini

0:38:27.000 --> 0:38:29.640
<v Speaker 18>will go into Atlas, we'll go into Spot the Little

0:38:29.680 --> 0:38:32.280
<v Speaker 18>Dog as well. Yeah, tell us a little bit about

0:38:32.360 --> 0:38:35.520
<v Speaker 18>what the future looks like for Deep Mind and Gemini Robotics.

0:38:35.760 --> 0:38:39.000
<v Speaker 17>Yeah, so we're really excited about gemin Robotics bringing all

0:38:39.040 --> 0:38:41.080
<v Speaker 17>of that intelligence from Gemini into the physical world, but

0:38:41.080 --> 0:38:43.840
<v Speaker 17>there's still a lot of work to do. Gemini Robotics

0:38:43.880 --> 0:38:46.279
<v Speaker 17>is able to give you that reasoning, it's able to

0:38:46.280 --> 0:38:48.920
<v Speaker 17>give you that interactivity, it's able to give you multimodality,

0:38:49.320 --> 0:38:52.080
<v Speaker 17>but it's not yet able to what we're pushing the

0:38:52.080 --> 0:38:55.640
<v Speaker 17>boundary on is on doing highly dexterous tasks like, for example,

0:38:55.960 --> 0:38:59.680
<v Speaker 17>folding origami or packing a launch box that requires a

0:38:59.719 --> 0:39:02.200
<v Speaker 17>lot of dexterity that humans have and we don't really

0:39:02.239 --> 0:39:05.319
<v Speaker 17>realize it, but it's incredibly important to make robots.

0:39:05.080 --> 0:39:07.720
<v Speaker 18>Useful when it comes to the scalability of the industry

0:39:07.719 --> 0:39:13.320
<v Speaker 18>itself and competing also with dozens of these new companies

0:39:13.440 --> 0:39:16.720
<v Speaker 18>not only in the US, but dozens in China as well,

0:39:16.880 --> 0:39:18.520
<v Speaker 18>and where is the edge?

0:39:18.760 --> 0:39:22.160
<v Speaker 17>So there's a really exciting time right now for robotics

0:39:22.239 --> 0:39:25.080
<v Speaker 17>all over the world. I think that the really hard

0:39:25.160 --> 0:39:27.960
<v Speaker 17>problem that people don't realize is that the edge is

0:39:28.040 --> 0:39:33.080
<v Speaker 17>add understanding the nuance and complexity of the human world. Actually,

0:39:33.160 --> 0:39:36.080
<v Speaker 17>a lot of what you see out there is predefined sequences,

0:39:36.200 --> 0:39:40.359
<v Speaker 17>memorize sequences that the robots are doing. The actual intelligence

0:39:40.880 --> 0:39:43.040
<v Speaker 17>needs to be there in order for robots to operate

0:39:43.080 --> 0:39:45.720
<v Speaker 17>in all of our environments. Our environments are constantly changing,

0:39:45.760 --> 0:39:49.520
<v Speaker 17>there's humans in them, they're unstructured. That is what's needed

0:39:49.520 --> 0:39:51.320
<v Speaker 17>in order to get robots to be really helpful in

0:39:51.320 --> 0:39:52.000
<v Speaker 17>the physical world.

0:39:52.480 --> 0:39:54.600
<v Speaker 2>That was Google Deep Mind Vice president and head of

0:39:54.640 --> 0:39:58.000
<v Speaker 2>Humanoid Robotics, Carolina Parata, along with our own Sherry On

0:39:58.280 --> 0:40:03.279
<v Speaker 2>in Tokyo, a major setback for Jeff Bezos's space ambitions

0:40:03.360 --> 0:40:06.760
<v Speaker 2>after Blue Origins New Glen rocket explodes during a test

0:40:06.800 --> 0:40:10.239
<v Speaker 2>in Florida. Lauren Grush joins us on that next, this

0:40:10.360 --> 0:40:22.200
<v Speaker 2>is Bloomberg. Let's get to Blue Origin, the company's new

0:40:22.239 --> 0:40:25.000
<v Speaker 2>Glen rocket. You see it right there, exploding in a

0:40:25.120 --> 0:40:28.719
<v Speaker 2>massive fireball while undergoing a test on a Florida launchpad.

0:40:29.040 --> 0:40:31.279
<v Speaker 2>Blue Origin, writing in a post on X quote, we

0:40:31.400 --> 0:40:34.960
<v Speaker 2>experienced an anomaly during today's hot fire test. All personnel

0:40:35.000 --> 0:40:38.000
<v Speaker 2>have been accounted for. We will provide updates as we

0:40:38.160 --> 0:40:41.759
<v Speaker 2>learn more. Bloomberg's Lauren Grush joins us now with more.

0:40:41.960 --> 0:40:44.560
<v Speaker 2>The word anomaly can mean a lot of different things. Lauren,

0:40:45.239 --> 0:40:47.319
<v Speaker 2>What do we know about what happened last night?

0:40:48.640 --> 0:40:51.279
<v Speaker 14>Well, I think the details are still trickling, and we

0:40:51.320 --> 0:40:53.239
<v Speaker 14>don't know a whole lot. But we do have some

0:40:53.400 --> 0:40:56.799
<v Speaker 14>very vivid imagery of this event. This is probably one

0:40:56.840 --> 0:41:00.680
<v Speaker 14>of the largest explosions I've ever covered on rocket in

0:41:00.760 --> 0:41:04.160
<v Speaker 14>my time being a reporter. But yes, we still don't

0:41:04.160 --> 0:41:05.640
<v Speaker 14>know a lot. All we know is that they were

0:41:05.640 --> 0:41:08.880
<v Speaker 14>conducting a test. They were preparing for their fourth launch

0:41:08.880 --> 0:41:11.360
<v Speaker 14>of New Glenn, which was supposed to launch a batch

0:41:11.480 --> 0:41:16.520
<v Speaker 14>of Amazon satellites for the Amazon LEO. Fortunately for Amazon,

0:41:16.560 --> 0:41:18.920
<v Speaker 14>those satellites were not on board, and as you mentioned,

0:41:18.960 --> 0:41:22.839
<v Speaker 14>you know, there no personnel were hurt or there were

0:41:22.880 --> 0:41:25.400
<v Speaker 14>no injuries, so that's all good. But this is a

0:41:25.440 --> 0:41:28.600
<v Speaker 14>pretty catastrophic moment for New Glenn for sure.

0:41:28.719 --> 0:41:30.040
<v Speaker 3>Yeah, what about setback?

0:41:30.080 --> 0:41:35.440
<v Speaker 2>I mean in terms of months, years to a mission

0:41:35.800 --> 0:41:39.560
<v Speaker 2>or to at least a goal for New Glen. What

0:41:39.600 --> 0:41:40.760
<v Speaker 2>does it do to the program?

0:41:41.320 --> 0:41:45.280
<v Speaker 14>Sure, you know, in terms of the timeline. Obviously that's subjective.

0:41:45.320 --> 0:41:48.440
<v Speaker 14>It will depend on if they are able to figure

0:41:48.480 --> 0:41:52.000
<v Speaker 14>out the origin of the problem pretty quickly, how fast

0:41:52.040 --> 0:41:55.480
<v Speaker 14>they can you know, fix it. But this is very

0:41:55.600 --> 0:41:59.960
<v Speaker 14>certain to have a very big impact on the schedule

0:42:00.120 --> 0:42:02.919
<v Speaker 14>for Blue Origin moving forward. It's also kind of hard

0:42:02.920 --> 0:42:06.480
<v Speaker 14>to understate just how important nuclein is for everything that

0:42:06.480 --> 0:42:09.680
<v Speaker 14>Blue Origin wants to do. Right It's their main orbital rocket.

0:42:09.920 --> 0:42:13.520
<v Speaker 14>It's supposed to launch future satellites for the company. It's

0:42:13.600 --> 0:42:15.600
<v Speaker 14>you know, as Blue Origin has how did they have

0:42:15.680 --> 0:42:19.680
<v Speaker 14>a ten billion dollars backlog on this vehicle with customer contracts.

0:42:20.000 --> 0:42:25.360
<v Speaker 14>It's a key rocket for launching Blue Origins Lunar Lander,

0:42:25.440 --> 0:42:28.279
<v Speaker 14>which is a key component of NASA's Artemis program to

0:42:28.280 --> 0:42:30.799
<v Speaker 14>send humans back to the Moon, and all of that

0:42:30.920 --> 0:42:34.280
<v Speaker 14>is likely to suffer delays. Also, damage to the launch

0:42:34.320 --> 0:42:37.319
<v Speaker 14>pad will probably take that out of operation for some

0:42:37.480 --> 0:42:39.440
<v Speaker 14>time too, So it's not just the rocket they have

0:42:39.520 --> 0:42:43.400
<v Speaker 14>to fix, it's all the infrastructure that just got exploded

0:42:43.440 --> 0:42:44.399
<v Speaker 14>in the meantime as well.

0:42:44.640 --> 0:42:46.520
<v Speaker 2>Yeah, at the risk of mixing metaphors, I don't want

0:42:46.520 --> 0:42:48.680
<v Speaker 2>to put the car before the horse here, Lauren. But

0:42:48.719 --> 0:42:52.680
<v Speaker 2>if we consider NASA's reliance on Blue Origin for the

0:42:52.760 --> 0:42:56.759
<v Speaker 2>Artemis program, as you just referenced, does NASA plan for

0:42:56.800 --> 0:43:00.280
<v Speaker 2>setbacks like this or would they have to go and say,

0:43:00.480 --> 0:43:03.120
<v Speaker 2>you know, maybe we have to rely on a different partner.

0:43:04.080 --> 0:43:07.640
<v Speaker 14>Certainly, Actually, NASA did kind of work this into their

0:43:07.680 --> 0:43:10.480
<v Speaker 14>decision making because you know, Blue Origin isn't the only

0:43:10.520 --> 0:43:15.240
<v Speaker 14>partner that NASA has obviously when it comes to building

0:43:15.239 --> 0:43:18.440
<v Speaker 14>a lunar lander. It's both Blue Origin and SpaceX that

0:43:18.480 --> 0:43:21.239
<v Speaker 14>are developing landers for the Artemis program. And they do

0:43:21.320 --> 0:43:25.200
<v Speaker 14>that on purpose because of it, because of unforeseen problems

0:43:25.200 --> 0:43:27.080
<v Speaker 14>that might arise like this one. They won't like to

0:43:27.120 --> 0:43:30.319
<v Speaker 14>have different options that they can turn to, and so

0:43:30.360 --> 0:43:32.719
<v Speaker 14>SpaceX is that other option that they can turn to.

0:43:33.120 --> 0:43:35.080
<v Speaker 14>But again, you know, it's still too early to say.

0:43:35.320 --> 0:43:39.239
<v Speaker 14>You know, if they will actually use SpaceX's lander over

0:43:39.280 --> 0:43:43.040
<v Speaker 14>Blue Origin, perhaps they can turn this around more quickly

0:43:43.080 --> 0:43:44.600
<v Speaker 14>than we think, but you know it's going to be

0:43:44.680 --> 0:43:45.080
<v Speaker 14>some time.

0:43:45.440 --> 0:43:49.360
<v Speaker 2>Bloomberg's Lauren Brush joining us with that. Checkout Lauren's reporting

0:43:49.440 --> 0:43:51.760
<v Speaker 2>and the entire Space teams reporting on the Bloomberg Terminal

0:43:51.840 --> 0:43:53.640
<v Speaker 2>and at Bloomberg dot com. That is going to do

0:43:53.680 --> 0:43:55.840
<v Speaker 2>it for this edition of Bloomberg Tech. Don't forget to

0:43:55.920 --> 0:43:59.200
<v Speaker 2>check out our podcast Minded on the Terminal, Apple, Spotify,

0:43:59.280 --> 0:44:00.880
<v Speaker 2>and iHeart this is Bloomberg.

0:44:04.719 --> 0:44:04.759
<v Speaker 6>I