WEBVTT - US Pulls TSMC China Waiver, Tech Stocks Fall

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

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

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<v Speaker 1>and Ed Lovelow in sentances.

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<v Speaker 2>Go this is Bloomberg Tech coming up us Paul's TSMC's

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<v Speaker 2>waiver on essentral gear to its China chip making facility,

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<v Speaker 2>adding further curbs to its semiconduction production capabilities, plus.

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<v Speaker 3>Tech stock slide to start September im in a global

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<v Speaker 3>sell off with all Magnificent seven names in the red.

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<v Speaker 3>We dig into the fourth day of losses for Nvidio,

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<v Speaker 3>and we speak.

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<v Speaker 2>With the CEO of Crypto dot com about a new

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<v Speaker 2>partnership with Trump Media.

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<v Speaker 3>So first we check in on these markets which are

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<v Speaker 3>under pressure from a global perspective. This is in many

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<v Speaker 3>ways the bond market that is a tail that wags

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<v Speaker 3>the dog when it comes to the equity market. Bond

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<v Speaker 3>markets sell off why, particularly in the UK, we're worried

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<v Speaker 3>about ability of governments to repay debt at the moment,

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<v Speaker 3>but we are seeing just a risk of tone to

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<v Speaker 3>this September start, and we're looking at big tech off

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<v Speaker 3>by one and a quarter percent. Magnificent seven last time

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<v Speaker 3>I checked, Ed all in the red.

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<v Speaker 4>In particular in video, there's.

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<v Speaker 2>Market sentiment and then there's news flow. In the show,

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<v Speaker 2>we're going to talk about Tesla three pieces data from China,

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<v Speaker 2>Bloomberg reporting on India launch and master Plan Part four

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<v Speaker 2>in Vinya. Maybe it's a post earnings thing. There is

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<v Speaker 2>anxiety broadly about the mag seven names and concentration risk

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<v Speaker 2>at the index level. And then TSMC. We just broke

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<v Speaker 2>the story the US pulling a key waiver for TSMC

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<v Speaker 2>to get key gear to a pretty much sole facility

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<v Speaker 2>for chip making in China. I want to get the details.

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<v Speaker 2>Let's bring in Bloomberg Senior editor Mike Shephard and Mike,

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<v Speaker 2>what's the need to know here specifically on TSMC in China.

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<v Speaker 5>Well, this adds at another speed bump for a TSMC,

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<v Speaker 5>and the supplier is in trying to bring equipment, chemicals

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<v Speaker 5>and other things that they need for this facility in Nanjing.

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<v Speaker 5>It is not a major portion of TSMC's overall manufacturing

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<v Speaker 5>picture accounts for a relatively small fraction of the company's revenue,

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<v Speaker 5>and yet it is symbolically significant because the move mirrors

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<v Speaker 5>with the US government announced on Friday, and that is

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<v Speaker 5>that Samsung and sk Heinex would face similar restrictions on

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<v Speaker 5>their facilities in China going forward. All of this takes

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<v Speaker 5>effect at the end of the year. They have until

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<v Speaker 5>December thirty first before these new restrictions snap back into effect.

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<v Speaker 5>What happened, in Essen said, is that the company's lost

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<v Speaker 5>what is considered really a blanket waiver of validated end

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<v Speaker 5>user agreement that they were trusted to be able to

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<v Speaker 5>ship goods and material into those manufacturing facilities in China

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<v Speaker 5>for chip making. That's ending, and it's part of the

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<v Speaker 5>US government's broader effort to restrict China's access, even if

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<v Speaker 5>it's foreign companies making things inside China, to restrict access

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<v Speaker 5>by China overall to advanced technology.

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<v Speaker 3>So, Mike, an additional one thousand or so licenses are

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<v Speaker 3>going to have to be processed every single year by

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<v Speaker 3>US officials.

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<v Speaker 4>But who does that hamper? Who is the supplier here?

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<v Speaker 3>Is it the I mean I think of ASML in Europe,

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<v Speaker 3>is that the knock on effect we see.

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<v Speaker 5>Here, Well, we could see a knock on effect on

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<v Speaker 5>those We looked into the supplier question at the end

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<v Speaker 5>of last week, and it will be a little bit

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<v Speaker 5>of a drag. It's unclear which companies will be affected

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<v Speaker 5>because it's not just ASML, it's even the chemical makers

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<v Speaker 5>and other kinds of suppliers that may face some of

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<v Speaker 5>those speed bumps. Now, as I mentioned the facility that

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<v Speaker 5>TSMC is operate in Nanjing, it is an older grade

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<v Speaker 5>technology there. It's sixteen nanometer chip technology that has been

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<v Speaker 5>out in the market care for really a decade, so

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<v Speaker 5>it may not be the most cutting edge of material,

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<v Speaker 5>but what we're looking out overall is going to be

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<v Speaker 5>some delays. This adds, as you noted, a thousand more

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<v Speaker 5>permits that may need to be in the pipeline and

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<v Speaker 5>approve by a government that is really understrained here in

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<v Speaker 5>Washington from staffing and budget cuts and may not be

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<v Speaker 5>as enthusiastic about issuing those kinds of approvals. We did

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<v Speaker 5>see at the end of last week with the Samsung

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<v Speaker 5>and s k Heinex announcement, an indication from the Commerce

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<v Speaker 5>Department that, look, these approvals are not going to go

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<v Speaker 5>to any sort of equipment or other supplies that may

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<v Speaker 5>be used to upgrade or expand capacity at those facilities,

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<v Speaker 5>So they are interested in keeping things where they are

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<v Speaker 5>rather than allowing expansion or improvement in technology of those plans.

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<v Speaker 3>The US versus China AI race continues Michael Sheppard, We

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<v Speaker 3>appreciate it. Look, let's get the wider context here of

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<v Speaker 3>a tech sector that is facing another day of losses.

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<v Speaker 3>The Magnificent seven names in particular, every single one is

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<v Speaker 3>in the red. Let's get over to bluem executary report

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<v Speaker 3>around va Selica for more in Chicago and the pressure

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<v Speaker 3>point here is one evaluation is it is it more

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<v Speaker 3>the bond market that dictates or just a desire to

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<v Speaker 3>be risk off at this moment.

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<v Speaker 6>Hey, good morning, thanks for having me. I'd say there's

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<v Speaker 6>probably some combination of all of those right now. I

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<v Speaker 6>would just add that most of these mag seven names

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<v Speaker 6>have been very strong performers this year, especially over the

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<v Speaker 6>past few months since the April low. It is a

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<v Speaker 6>natural place for investors to be wanting to take profits,

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<v Speaker 6>especially if there's any sort of broader sense of uncertainty

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<v Speaker 6>or any kind of risk off sediment. This is sort

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<v Speaker 6>of the place you might go first in order to

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<v Speaker 6>take profits just because of how well they've done. Now

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<v Speaker 6>you mentioned valuations, because of how much they've risen over

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<v Speaker 6>the past couple of months. We have gotten to a

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<v Speaker 6>point where a lot of people are starting to feel

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<v Speaker 6>maybe they're a little bit frothy, maybe there's some room

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<v Speaker 6>for consolidation. On the downside, there's a lot of sort

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<v Speaker 6>of sentiment about that right now.

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<v Speaker 2>Ryan, let's focus on in Video is down for a

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<v Speaker 2>full straight day, right, longest streak of decline since since March,

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<v Speaker 2>which on the face of it isn't really that big

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<v Speaker 2>a deal. But there's a lot of focus on the

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<v Speaker 2>terminal this morning about weighting of the S and P

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<v Speaker 2>five hundred and how much of a contribution in Video

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<v Speaker 2>alone made to the gains we've seen inequity markets this year.

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<v Speaker 6>So last week Nviigya came out with this report and

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<v Speaker 6>it was broadly positive, but you did have some questions

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<v Speaker 6>about China revenue. You have some questions about the sustainability

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<v Speaker 6>of growth right now. And I'll say that the report

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<v Speaker 6>was strong enough that we did see people increase their estimates,

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<v Speaker 6>which had the impact of reducing the forward multiple. But

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<v Speaker 6>I think, like you said, this is a stock that's

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<v Speaker 6>done very well this year. It is absolutely enormous in

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<v Speaker 6>terms of market cap and its weight within the major indexes.

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<v Speaker 6>So it does seem like a natural place for investors

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<v Speaker 6>to be taking some profits, especially since we're now past

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<v Speaker 6>the earnings catalyst and it just given the overall weight

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<v Speaker 6>that it has in major indexes, is kind of natural

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<v Speaker 6>that we are sort of feeling the trimmers of that

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<v Speaker 6>just across the overall equity market.

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<v Speaker 2>Those Ryan las Selca, thank you very much. Let's stay

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<v Speaker 2>with video. Anthony saglum Ben and Paraised Financial chief market

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<v Speaker 2>strategist joins us now and I use the phrase concentration risk, Anthony,

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<v Speaker 2>but there's two types of concentration risk. There's Nvidia's waiting

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<v Speaker 2>in key benchmark indexes, right, and then there's the concentration

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<v Speaker 2>risk of where in Vidias derived sales the hyperscalers which

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<v Speaker 2>came up in the print last week. Of those two,

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<v Speaker 2>which is the market most nervous about right now.

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<v Speaker 7>I know I would say, you know, I think it's

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<v Speaker 7>the letter. I think revenue risk when you heard in

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<v Speaker 7>video report and you kind of and I think it

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<v Speaker 7>gets highlighted it very well. The overall numbers were very good.

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<v Speaker 7>There's some obviously uncertainty about the revenue that's being generated

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<v Speaker 7>in China, which kind of brought some of the kind

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<v Speaker 7>of the data revenue down, But at the end of

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<v Speaker 7>the day, the overall picture for AI and in Vidia's

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<v Speaker 7>place in AI is very strong. But it really is

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<v Speaker 7>about execution. And when you kind of dig into the

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<v Speaker 7>numbers and you see the hyperscalers having such a dominant

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<v Speaker 7>role in driving their revenue, you know, mag seven companies

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<v Speaker 7>accounting for forty percent of their revenue or so, you

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<v Speaker 7>have to take a step back because if over time

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<v Speaker 7>investors in those companies want a little bit more payback,

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<v Speaker 7>they want to see return on investment. Uh, they're concerned

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<v Speaker 7>about the cap X that's being spent by these companies.

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<v Speaker 7>Well that's in Vidia's revenue, and so there is a

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<v Speaker 7>little bit of unease around that. But I would point

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<v Speaker 7>out the NANSDAC just finished August up for the fifth

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<v Speaker 7>straight month, and as you guys highlighted, there's been a

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<v Speaker 7>lot of strength in the Magnificent seven names. And so

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<v Speaker 7>September is wall streets hate this month or they hate

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<v Speaker 7>the month of September, and that's what we're kind of

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<v Speaker 7>seeing today. Our view is that technicals are not stretched.

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<v Speaker 7>There is a little bit of risk that markets could

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<v Speaker 7>pull back, but I do believe fundamentals for Nvidia and

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<v Speaker 7>technology as a whole remained very solid.

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<v Speaker 3>I mean, yes, Anthony was seeing in Vidio down on

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<v Speaker 3>two weeks, but over year to date up twenty five percent.

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<v Speaker 3>But the idea that you've got concentration in where the

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<v Speaker 3>revenue comes from for in video, and then you've got

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<v Speaker 3>concentration in video and those mag seven names in ultimate

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<v Speaker 3>rewards that every investor has felt right now, how many

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<v Speaker 3>people are trying to trim that overall concentration in their books.

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<v Speaker 7>You know, I think a lot of traders and institutional

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<v Speaker 7>investors probably got ahead of the seasonal factors that they

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<v Speaker 7>probably looked at some of the earnings or suspected that

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<v Speaker 7>there could be a little bit of volatility around in

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<v Speaker 7>video's earnings. And so I don't think there's a massive

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<v Speaker 7>repositioning happening around in video. But as you mentioned, it's

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<v Speaker 7>eight percent of the S and P five hundred. We've

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<v Speaker 7>seen the NASDAC and the MAGS Magnificent seven have very

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<v Speaker 7>strong performance since the April lows. We're in a weaker

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<v Speaker 7>seasonal kind of factor for the markets, and so I

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<v Speaker 7>think it's just natural that you're seeing a little rotation

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<v Speaker 7>out of big tech. I don't think that's bad for

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<v Speaker 7>the market overall. What we saw in August is areas

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<v Speaker 7>like financials and energy and materials actually did pretty well.

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<v Speaker 7>And when you look at the earnings expectations over the

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<v Speaker 7>third quarter, actual expectations for Nvidia and Big Tech and

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<v Speaker 7>Magnificent seven went up last month, and they actually have

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<v Speaker 7>gone up over the last two months. So when we

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<v Speaker 7>look at fundamentals, we think they're still strong in technology.

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<v Speaker 7>But as I said earlier, it's about execution, and at

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<v Speaker 7>these stretched valuations, investors sho expect a little bit more

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<v Speaker 7>volatility around these really concentrated names that make up a

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<v Speaker 7>lot of the major indexes today.

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<v Speaker 3>Calm Context, Anthony segum Beni, it's great to have you

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<v Speaker 3>on from Americ Price. Thank you kicking off the September trade. Meanwhile,

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<v Speaker 3>coming up Klana, it's preferring to go public after delays

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<v Speaker 3>earlier this year. We look at why the fintech company

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<v Speaker 3>seeks evaluation size fourteen billion dollars.

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<v Speaker 4>This is a blue back tech.

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<v Speaker 3>Klana and its backers are looking to raise more than

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<v Speaker 3>a billion dollars in a highly anticipated IPO as soon

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<v Speaker 3>as next week. And mex Matthew Griffin is with us,

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<v Speaker 3>joining us for more and a week of marketing kicks

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<v Speaker 3>off formally ahead of what could be September the ninth,

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<v Speaker 3>pricing trading September the tenth. What are the key facts

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<v Speaker 3>that we know about this business.

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<v Speaker 8>It's a really interesting road that Klara has taken to

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<v Speaker 8>get here. They started as a sort of comparable to

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<v Speaker 8>PayPal payments company. They rose to prominence during the pandemic

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<v Speaker 8>in buy now, pay later financing for consumer purchases, and

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<v Speaker 8>now just in the last few months, they're really making

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<v Speaker 8>a new push to become a digital bank, to offer

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<v Speaker 8>debit cards, to offer a bank accounts to people. So

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<v Speaker 8>it'll be really interesting to see which peers they end

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<v Speaker 8>up trading, like, who investors have in mind when they're

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<v Speaker 8>thinking about this company, and how each of these businesses

0:12:05.559 --> 0:12:08.520
<v Speaker 8>fit together, how that banking push goes. As we get

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<v Speaker 8>a little bit further out past the IPO.

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<v Speaker 2>I remember covering with Caro twenty twenty one that valuation

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<v Speaker 2>in the private market it's forty six billion or something

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<v Speaker 2>like that. So at the top end it's a fourteen

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<v Speaker 2>billion dollar evaluation. But there's a biggest story about IPO

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<v Speaker 2>environment this week alone. What are you saying.

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<v Speaker 8>We've had a really hot summer at this point. In IPOs,

0:12:32.480 --> 0:12:36.880
<v Speaker 8>I mean, just today you've got filings from Figure, they're

0:12:36.880 --> 0:12:42.520
<v Speaker 8>a blockchain based lending company. Also in financial technology, you've

0:12:42.520 --> 0:12:44.880
<v Speaker 8>got Gemini, which is a crypto exchange, and then you've

0:12:44.880 --> 0:12:49.360
<v Speaker 8>also got Legends that's an engineering and HVAC company backed

0:12:49.440 --> 0:12:52.439
<v Speaker 8>by Blackstone, which is a possible sign that the pipeline

0:12:52.480 --> 0:12:54.400
<v Speaker 8>is broadening out a little bit.

0:12:54.600 --> 0:12:57.320
<v Speaker 4>The reason that's important is, you know.

0:12:57.320 --> 0:13:00.880
<v Speaker 8>A lot of IPOs were paused during the March volatility

0:13:00.960 --> 0:13:04.400
<v Speaker 8>that we saw this spring because of tariffs. Things have

0:13:04.520 --> 0:13:06.600
<v Speaker 8>bounced back. They're looking a little bit more like what

0:13:06.720 --> 0:13:09.320
<v Speaker 8>investors hoped they'd see. But some of the first companies

0:13:09.320 --> 0:13:14.080
<v Speaker 8>we saw go were, for example, e Toro, fintech, you know,

0:13:14.240 --> 0:13:17.079
<v Speaker 8>companies that aren't directly affected by tariffs. So now we're

0:13:17.080 --> 0:13:21.680
<v Speaker 8>seeing more companies. We're seeing companies that offer physical goods

0:13:21.679 --> 0:13:25.600
<v Speaker 8>and services, and so that's potentially a thing that investors

0:13:25.600 --> 0:13:27.200
<v Speaker 8>are going to take as a sign of hope for

0:13:27.280 --> 0:13:29.480
<v Speaker 8>the pipeline this year and for a broader revival.

0:13:30.280 --> 0:13:33.880
<v Speaker 2>Right Bloomberg's Matthew Griffin, great reporting, Thank you very much. Meanwhile,

0:13:34.200 --> 0:13:37.400
<v Speaker 2>fintech firm Resolute, has kicked off a process for some

0:13:37.480 --> 0:13:40.440
<v Speaker 2>employees to sell their shares in the company at a

0:13:40.559 --> 0:13:43.960
<v Speaker 2>seventy five billion dollar valuation. That's according to a memo

0:13:44.200 --> 0:13:47.560
<v Speaker 2>seen by Bloomberg. The secondary sale, we'd value each share

0:13:47.600 --> 0:13:50.560
<v Speaker 2>at one three hundred and eighty one dollars, and sources

0:13:50.600 --> 0:13:52.760
<v Speaker 2>say staff of the firm would be able to sell

0:13:52.760 --> 0:13:57.400
<v Speaker 2>as much as twenty percent of their personal stakes Cara Significant.

0:13:57.440 --> 0:13:59.520
<v Speaker 3>Meanwhile, coming up, the CEO of Crypto dot com is

0:13:59.600 --> 0:14:01.400
<v Speaker 3>joining us. It's going to be talking about the company's

0:14:01.440 --> 0:14:03.840
<v Speaker 3>latest partnership with Trump Media and a new focus on

0:14:03.880 --> 0:14:07.400
<v Speaker 3>the growing sports predictions market. But before that, we get

0:14:07.440 --> 0:14:09.400
<v Speaker 3>back to this market that is in cell off mode.

0:14:09.440 --> 0:14:12.040
<v Speaker 3>Nazak one hundred of by one point four percent. In fact,

0:14:12.040 --> 0:14:14.360
<v Speaker 3>the worst two days sell off we've seen since April

0:14:14.600 --> 0:14:17.080
<v Speaker 3>in video off for four straight days. We haven't seen

0:14:17.120 --> 0:14:19.800
<v Speaker 3>that since March of this year. Another three percent is gone.

0:14:20.040 --> 0:14:33.760
<v Speaker 3>There's a brummeg tech. It's time now for talking tech

0:14:33.800 --> 0:14:36.600
<v Speaker 3>and first up Amazon Well, it's launched its cloud services

0:14:36.760 --> 0:14:39.040
<v Speaker 3>in New Zealand, says it will invest four point four

0:14:39.040 --> 0:14:40.800
<v Speaker 3>billion dollars in data centers in the country.

0:14:40.920 --> 0:14:41.080
<v Speaker 4>Now.

0:14:41.120 --> 0:14:43.400
<v Speaker 3>The move comes as the country is looking to attract

0:14:43.400 --> 0:14:46.640
<v Speaker 3>more foreign investment. The construction, operation and maintenance of the

0:14:46.680 --> 0:14:49.840
<v Speaker 3>data centers expected to add about one thousand full time jobs.

0:14:50.080 --> 0:14:50.360
<v Speaker 4>Plus.

0:14:50.400 --> 0:14:54.880
<v Speaker 3>Lazan has appointed Dmitri Chevalenko, the Cheap Business Officer of Perplexity,

0:14:54.920 --> 0:14:57.960
<v Speaker 3>to its port effective today now. Prior to joining Perplexity,

0:14:58.200 --> 0:15:01.520
<v Speaker 3>Chevalenko previously held senior roles ober at LinkedIn and at Meta.

0:15:01.560 --> 0:15:03.960
<v Speaker 4>But Lazard CEO Peter Orzag says that.

0:15:03.960 --> 0:15:08.240
<v Speaker 3>Dimitri's AI expertise will support its long term strategy and

0:15:08.280 --> 0:15:11.960
<v Speaker 3>cryptocurrency exchange Gemini space station, and it seeks to raise

0:15:12.000 --> 0:15:14.320
<v Speaker 3>as much as three on ore and sixteen point seven

0:15:14.360 --> 0:15:16.800
<v Speaker 3>million dollars in its IPO. The firm, of course, led

0:15:16.800 --> 0:15:19.560
<v Speaker 3>by the Winklevoss Twins, plans to market sixteen point seven

0:15:19.560 --> 0:15:22.240
<v Speaker 3>million shares seventeen to nineteen dollars each, giving the company

0:15:22.240 --> 0:15:25.080
<v Speaker 3>evaluation of some two point two billion dollars at the

0:15:25.080 --> 0:15:26.040
<v Speaker 3>top end of the range.

0:15:26.320 --> 0:15:26.360
<v Speaker 5>ED.

0:15:27.240 --> 0:15:30.480
<v Speaker 2>Let's stick with the digital currency space and bringing Chris Marslick.

0:15:30.560 --> 0:15:33.760
<v Speaker 2>He's the CEO of crypto dot Com, which last week

0:15:33.920 --> 0:15:36.760
<v Speaker 2>announced the partnership with Trump Media and a blank check

0:15:36.840 --> 0:15:40.520
<v Speaker 2>Vehicle to launch a new crypto treasury business its focus

0:15:40.760 --> 0:15:44.200
<v Speaker 2>buying Upcrypto dot COM's own token known as Chronos or Crow.

0:15:45.080 --> 0:15:47.720
<v Speaker 2>I think, Chris, it's one of those stories where we

0:15:47.760 --> 0:15:48.800
<v Speaker 2>start with the basics.

0:15:49.120 --> 0:15:50.680
<v Speaker 4>Where did the idea.

0:15:50.360 --> 0:15:53.000
<v Speaker 2>Come from to do this of a Kronos treasury company,

0:15:53.080 --> 0:15:54.120
<v Speaker 2>Where did it originate?

0:15:54.640 --> 0:15:56.160
<v Speaker 9>I think it's a little bit of a trend by

0:15:56.280 --> 0:16:01.880
<v Speaker 9>now and a pioneer and by micros MicroStrategy, and I

0:16:01.880 --> 0:16:06.800
<v Speaker 9>think every single blockchain from the top, say twenty will

0:16:06.920 --> 0:16:11.800
<v Speaker 9>have a leading treasury company that will be focusing on

0:16:12.240 --> 0:16:16.160
<v Speaker 9>driving demand for it and acquiring as much as physically possible.

0:16:16.640 --> 0:16:20.320
<v Speaker 9>And we thought that partnering with Trump Media to do

0:16:20.400 --> 0:16:22.080
<v Speaker 9>so is just the perfect match.

0:16:22.760 --> 0:16:25.040
<v Speaker 2>So there are a number of initiatives between Crypto dot

0:16:25.040 --> 0:16:28.440
<v Speaker 2>Com and Trump Media or the broader Trump family. Where

0:16:28.440 --> 0:16:31.400
<v Speaker 2>did that relationship start, Who did you first meet and

0:16:31.480 --> 0:16:33.600
<v Speaker 2>how long have you held those relationships?

0:16:35.120 --> 0:16:38.520
<v Speaker 9>So I think it comes dates back a couple of years.

0:16:38.600 --> 0:16:43.200
<v Speaker 9>And you know, we always look forward to working with

0:16:43.320 --> 0:16:47.680
<v Speaker 9>people who are procrypto, who want to help drive this

0:16:47.840 --> 0:16:51.600
<v Speaker 9>industry forward. And I think it has to be said

0:16:51.600 --> 0:16:55.720
<v Speaker 9>that both the current administration and specifically Trum Media Technology

0:16:55.720 --> 0:16:58.840
<v Speaker 9>Group has probably done it out in this space. We've

0:16:59.360 --> 0:17:03.080
<v Speaker 9>helped them exit get on their big contrast strategy with

0:17:03.280 --> 0:17:05.840
<v Speaker 9>a multi billion dollar a bit Com purchase. We help

0:17:05.920 --> 0:17:10.680
<v Speaker 9>them cussid coins, so we provide infrastructure, and this new

0:17:10.760 --> 0:17:13.480
<v Speaker 9>play on cr is just an extension of the relationship.

0:17:13.920 --> 0:17:17.600
<v Speaker 3>Extension of a relationship that broadens out to ETFs, that

0:17:17.640 --> 0:17:21.600
<v Speaker 3>broadens out to payments, a subscription creation. But it also

0:17:21.640 --> 0:17:25.120
<v Speaker 3>broadens out the conversation that people are having about more

0:17:25.160 --> 0:17:30.520
<v Speaker 3>broadly benefits to the Trump's broader family when it comes

0:17:30.560 --> 0:17:33.639
<v Speaker 3>to crypto, Chris, when you're having those conversations with friends

0:17:33.680 --> 0:17:36.720
<v Speaker 3>with family, how do you talk about whether or not

0:17:36.760 --> 0:17:38.359
<v Speaker 3>there might be any conflicts of interest?

0:17:38.400 --> 0:17:40.119
<v Speaker 4>Which I will reiterate.

0:17:39.920 --> 0:17:42.640
<v Speaker 3>The family and indeed spoke to you for the administration

0:17:42.680 --> 0:17:45.160
<v Speaker 3>would say there are none.

0:17:46.000 --> 0:17:48.600
<v Speaker 9>And you know you have to agree with their statements

0:17:48.600 --> 0:17:51.480
<v Speaker 9>because everything is held in brid trusts and this is

0:17:51.520 --> 0:17:55.080
<v Speaker 9>a published company that operates independently, and you know, we

0:17:55.119 --> 0:17:59.359
<v Speaker 9>are still a privately held company. But we love partnering

0:17:59.359 --> 0:18:02.760
<v Speaker 9>with people who to really take this industry forward. So

0:18:02.800 --> 0:18:06.960
<v Speaker 9>I think people need to understand that the administration has

0:18:06.960 --> 0:18:11.760
<v Speaker 9>set a certain agenda which places cryptocurrency industry at the

0:18:11.880 --> 0:18:15.040
<v Speaker 9>very center of it. With setting out a very ambitious

0:18:15.160 --> 0:18:18.479
<v Speaker 9>role for America in this space, and anything we can

0:18:18.520 --> 0:18:21.239
<v Speaker 9>do to help, we'll do so we'll support it.

0:18:21.480 --> 0:18:24.560
<v Speaker 3>What's interesting is you say you're still privately held. What

0:18:24.600 --> 0:18:27.240
<v Speaker 3>are the plans of crypto dot com? More broadly, we're

0:18:27.240 --> 0:18:29.280
<v Speaker 3>just hearing of IPOs of Gemini and the like. Would

0:18:29.280 --> 0:18:30.879
<v Speaker 3>you ever think of an IPO? Would you ever think

0:18:30.880 --> 0:18:32.600
<v Speaker 3>about selling parts of the business?

0:18:33.880 --> 0:18:39.320
<v Speaker 9>Right? I have to admit it's quite tempting to consider

0:18:39.400 --> 0:18:43.600
<v Speaker 9>these options, given how richly the market values crypto companies

0:18:43.600 --> 0:18:47.280
<v Speaker 9>these days. We certainly have the numbers to do so.

0:18:48.080 --> 0:18:51.480
<v Speaker 9>We've done about one point five billion in revenue last year,

0:18:51.920 --> 0:18:55.480
<v Speaker 9>about a billion in gross profit, reinvested about seven hundred

0:18:55.520 --> 0:18:57.119
<v Speaker 9>million of it. So let's say a free had a

0:18:57.119 --> 0:19:01.919
<v Speaker 9>million net profitability this year. I think it's going to

0:19:01.960 --> 0:19:06.960
<v Speaker 9>be better, especially if we see the Federate cut and

0:19:07.000 --> 0:19:10.040
<v Speaker 9>a strong Q four following. So we have the numbers,

0:19:10.320 --> 0:19:13.040
<v Speaker 9>and we've been approached by all the top names in

0:19:13.119 --> 0:19:18.480
<v Speaker 9>them of the investment banks. We want to be a

0:19:18.640 --> 0:19:24.040
<v Speaker 9>very well run company, so we are working on preparing everything,

0:19:24.080 --> 0:19:27.000
<v Speaker 9>but no decisions have been made at this point. We

0:19:27.080 --> 0:19:30.000
<v Speaker 9>think that we actually enjoy operating as a private company.

0:19:30.080 --> 0:19:33.119
<v Speaker 9>It alls us to move really fast. We've got a solid,

0:19:33.200 --> 0:19:34.880
<v Speaker 9>solid baland street, so we don't have to make any

0:19:34.920 --> 0:19:37.000
<v Speaker 9>decisions in a short term.

0:19:37.720 --> 0:19:41.120
<v Speaker 2>Some breaking news this morning that you're looking at starting

0:19:41.160 --> 0:19:45.720
<v Speaker 2>sports prediction markets, particularly for the NFL. That's so interesting.

0:19:45.720 --> 0:19:48.639
<v Speaker 2>There was market reaction from some of the established players

0:19:49.040 --> 0:19:52.240
<v Speaker 2>that in that space. Right, explain how it's going to get.

0:19:52.280 --> 0:19:53.760
<v Speaker 4>It's going to work, but why.

0:19:55.160 --> 0:19:57.919
<v Speaker 9>Look, we think that prediction markets are going to be huge,

0:19:58.080 --> 0:20:00.199
<v Speaker 9>and sports is a part of it, but it's not

0:20:00.240 --> 0:20:04.440
<v Speaker 9>the whole thing. And if there is any company out there,

0:20:04.560 --> 0:20:08.080
<v Speaker 9>a large business that wants to build out a prediction

0:20:08.800 --> 0:20:12.760
<v Speaker 9>market operation, we are the perfect infrastructure partner. We are

0:20:12.760 --> 0:20:16.840
<v Speaker 9>regulated by the CFTC. We've got battle tested trading technology,

0:20:17.280 --> 0:20:20.680
<v Speaker 9>very robust, APIs all the best market makers. We want

0:20:20.720 --> 0:20:25.879
<v Speaker 9>to be the liquidity center for prediction markets on shore

0:20:26.280 --> 0:20:30.159
<v Speaker 9>in the US. So we'll play very aggressively in that space.

0:20:30.880 --> 0:20:35.280
<v Speaker 3>And you're someone who's comfortable perhaps in markets that regulation

0:20:35.440 --> 0:20:37.919
<v Speaker 3>is always trying to catch up with, Chris, it's interesting

0:20:37.960 --> 0:20:40.600
<v Speaker 3>that the CFDC federal courts are still debating whether, ultimately

0:20:40.640 --> 0:20:41.680
<v Speaker 3>sports prediction.

0:20:41.600 --> 0:20:44.480
<v Speaker 4>Markets counter is gambling. How do you think about the

0:20:44.480 --> 0:20:46.960
<v Speaker 4>regulation process? Having given what you've lived through when it

0:20:46.960 --> 0:20:47.800
<v Speaker 4>comes to crypto.

0:20:47.960 --> 0:20:50.360
<v Speaker 9>I think it's news space and it's going to evolve,

0:20:50.760 --> 0:20:55.280
<v Speaker 9>and the regulatory setup is going to have to evolve

0:20:55.359 --> 0:21:00.080
<v Speaker 9>with it. We've gone through this journey with cryptocurrency. We

0:21:00.119 --> 0:21:02.960
<v Speaker 9>are used to being the role of being in the

0:21:03.040 --> 0:21:06.800
<v Speaker 9>role of a trusted counselor to regulators and helping them

0:21:06.880 --> 0:21:11.400
<v Speaker 9>understand how they can do their job effectively while allowing

0:21:11.480 --> 0:21:15.320
<v Speaker 9>market participants to make use of these wonderful instruments.

0:21:16.240 --> 0:21:18.880
<v Speaker 2>Just very quick, Chris, do you expect that this could

0:21:18.880 --> 0:21:22.040
<v Speaker 2>be some sort of meaningful contribution to revenues this year?

0:21:22.359 --> 0:21:25.040
<v Speaker 2>You kindly gave us your financials for last year. Just

0:21:25.080 --> 0:21:26.360
<v Speaker 2>model it out for us.

0:21:27.440 --> 0:21:31.199
<v Speaker 9>I think it's still it's not going to be a

0:21:31.359 --> 0:21:34.919
<v Speaker 9>massive contributor this year, but we're also very aggressive and

0:21:34.960 --> 0:21:39.040
<v Speaker 9>pricing for our partners, Like it's all about building liquidity

0:21:39.160 --> 0:21:42.399
<v Speaker 9>right now. But if you look at what's going to

0:21:42.440 --> 0:21:44.280
<v Speaker 9>be in like five years time, I think it's going

0:21:44.320 --> 0:21:45.840
<v Speaker 9>to be a massive business line for US.

0:21:46.359 --> 0:21:49.399
<v Speaker 3>Crypto dot com CEE Chris Mazlek is great speaking with you.

0:21:50.040 --> 0:21:54.159
<v Speaker 3>Coming against meanwhile coming up Tesla well in underwhelms and

0:21:54.200 --> 0:21:57.719
<v Speaker 3>it's India debut, so much more news on that particular company,

0:21:57.760 --> 0:21:59.840
<v Speaker 3>but we are more broadly looking at Tesla shares by

0:22:00.000 --> 0:22:02.200
<v Speaker 3>one and a half percent. In fact, ed every single

0:22:02.200 --> 0:22:04.760
<v Speaker 3>Magnificent seven name is in the red today. We are

0:22:04.800 --> 0:22:06.760
<v Speaker 3>looking at a market that is under pressure as we

0:22:06.800 --> 0:22:10.040
<v Speaker 3>head into a pretty tumultuous month of September. Checking out

0:22:10.080 --> 0:22:11.760
<v Speaker 3>mag seven off by more than two percent ed.

0:22:12.920 --> 0:22:15.520
<v Speaker 2>Yeah, the Tesla one's so interesting, Like there's three stories

0:22:15.560 --> 0:22:18.439
<v Speaker 2>out there Bloomberg breaking the numbers on what's a pretty

0:22:18.800 --> 0:22:21.439
<v Speaker 2>soft launch for them in India. But again there's this

0:22:21.560 --> 0:22:24.280
<v Speaker 2>like macro level, macro level. Yeah, it's a macro level thing.

0:22:24.359 --> 0:22:28.760
<v Speaker 2>Anxiety about how much concentration risk there is right now,

0:22:28.800 --> 0:22:31.879
<v Speaker 2>particularly within Vidia. We've had some great conversations about that,

0:22:32.000 --> 0:22:35.280
<v Speaker 2>our earlier guest saying that September the most hated month.

0:22:35.119 --> 0:22:35.679
<v Speaker 10>Carol.

0:22:37.800 --> 0:22:38.320
<v Speaker 4>Notable.

0:22:38.600 --> 0:22:40.960
<v Speaker 3>Whether we'll see or not some of the pressure continue

0:22:40.960 --> 0:22:42.800
<v Speaker 3>on in video. Is so good to have your voice

0:22:42.880 --> 0:22:45.760
<v Speaker 3>back on this show as we enter the month of September.

0:22:45.920 --> 0:22:48.240
<v Speaker 3>Four straight days of glosses for the company. This is

0:22:48.240 --> 0:22:48.960
<v Speaker 3>Bloomberg Tech.

0:23:01.520 --> 0:23:03.399
<v Speaker 2>Welcome back to Bloomberg Tech, and we'll get right to

0:23:03.480 --> 0:23:05.439
<v Speaker 2>markets and right to video. It's kind of the biggest

0:23:05.480 --> 0:23:08.600
<v Speaker 2>drag right now, down for a fourth straight session, which

0:23:08.640 --> 0:23:11.359
<v Speaker 2>is the biggest run of decline since March, which actually,

0:23:11.440 --> 0:23:13.639
<v Speaker 2>let's be honest, it's not much to right home about

0:23:13.760 --> 0:23:16.280
<v Speaker 2>other than we've just had a long weekend following in

0:23:16.359 --> 0:23:19.639
<v Speaker 2>Nvidia's earnings print which was last Wednesday. There's this macro

0:23:19.760 --> 0:23:23.520
<v Speaker 2>level anxiety of concentration risk because of Nvidia's waiting and

0:23:23.560 --> 0:23:27.119
<v Speaker 2>other magsv waitings. At the index level, there's still some

0:23:27.240 --> 0:23:30.480
<v Speaker 2>kind of unpicking of what happened at earnings. And thankfully

0:23:30.480 --> 0:23:33.119
<v Speaker 2>for US, Bloomberg's Ian King, who has led semiicinducts of

0:23:33.160 --> 0:23:36.560
<v Speaker 2>coverage at this company since the nineties, joins US onset

0:23:37.119 --> 0:23:39.720
<v Speaker 2>and that's the thing. I don't think anything's really changed

0:23:39.720 --> 0:23:42.399
<v Speaker 2>since Wednesday or Thursday of last week, but the market

0:23:42.600 --> 0:23:44.719
<v Speaker 2>is moving in that general downward direction.

0:23:45.200 --> 0:23:47.360
<v Speaker 11>Yeah. I mean, their earnings was kind of a non

0:23:47.359 --> 0:23:50.399
<v Speaker 11>event in many respects. There was a lot of left

0:23:50.400 --> 0:23:53.240
<v Speaker 11>in the kind of TBD category. We still really don't

0:23:53.320 --> 0:23:55.800
<v Speaker 11>know what's going to happen with China, when that revenue

0:23:55.800 --> 0:23:57.399
<v Speaker 11>is going to come back, how much of it is

0:23:57.440 --> 0:24:00.919
<v Speaker 11>going to come back, but we believe probably will be

0:24:00.960 --> 0:24:03.000
<v Speaker 11>some China revenue. So that was a kind of a

0:24:03.040 --> 0:24:06.399
<v Speaker 11>mixed message. We know that Invidia is still concentrated on

0:24:06.440 --> 0:24:10.480
<v Speaker 11>a few extremely big customers, but again nothing surprising there,

0:24:10.480 --> 0:24:13.240
<v Speaker 11>and fundamental demand, as they said, was okay.

0:24:13.320 --> 0:24:16.240
<v Speaker 3>And in though the broader context that leans into the

0:24:16.320 --> 0:24:19.880
<v Speaker 3>China story is again another headline that hits TSMC's ability

0:24:19.920 --> 0:24:22.040
<v Speaker 3>to get chip equipment, for example, in the country. So

0:24:22.280 --> 0:24:25.600
<v Speaker 3>the US China tension not to mention, of course China

0:24:26.080 --> 0:24:31.040
<v Speaker 3>really leaning into its own domestic creative creativity, whether it's

0:24:31.080 --> 0:24:34.200
<v Speaker 3>innovation on chip design or indeed manufacturing, is that speaking

0:24:34.280 --> 0:24:35.680
<v Speaker 3>to some of this weakness.

0:24:36.640 --> 0:24:38.959
<v Speaker 11>It could possibly, I mean, what it's reminding us of,

0:24:39.200 --> 0:24:41.080
<v Speaker 11>as if we could forget, is that this is a

0:24:41.160 --> 0:24:45.240
<v Speaker 11>very volatile situation and that the trend is towards decoupling,

0:24:45.240 --> 0:24:47.880
<v Speaker 11>that China goes its own way and tries to wean

0:24:47.960 --> 0:24:51.880
<v Speaker 11>itself off American technology. That's something that's been happening and

0:24:51.960 --> 0:24:54.040
<v Speaker 11>this kind of event is a reminder of that and

0:24:54.080 --> 0:24:56.760
<v Speaker 11>obviously long term that is not good for in video

0:24:56.960 --> 0:24:58.879
<v Speaker 11>or any other US technology.

0:24:58.920 --> 0:25:01.879
<v Speaker 2>Stop with Rsie and King, thank you very much, just

0:25:02.000 --> 0:25:05.919
<v Speaker 2>turn to Tesla. Loads of news out on Tesla China

0:25:06.040 --> 0:25:10.719
<v Speaker 2>data month or month change, year and year drop customers

0:25:10.800 --> 0:25:14.040
<v Speaker 2>switching to local rivals. Tesla struggling elshere in Asia. It's

0:25:14.119 --> 0:25:17.960
<v Speaker 2>Indian order numbers disappointing investors, a story that Bloomberg broke.

0:25:18.200 --> 0:25:21.399
<v Speaker 2>And then Elon Musk is downplaying the car business. He

0:25:21.440 --> 0:25:25.120
<v Speaker 2>says Tesla will derive eighty percent of its value from

0:25:25.160 --> 0:25:28.560
<v Speaker 2>the Optimus robot, the still in development. A trio of stories.

0:25:28.600 --> 0:25:32.040
<v Speaker 2>Bloomberg's Craig Trudell joins us from London. Actually, I want

0:25:32.040 --> 0:25:34.479
<v Speaker 2>to start with the India piece of it if we can.

0:25:34.560 --> 0:25:37.240
<v Speaker 2>That's a story that Bloomberg broke, and we have specific

0:25:37.320 --> 0:25:41.560
<v Speaker 2>numbers about initial orders that India has for Tesla. Just

0:25:41.600 --> 0:25:42.480
<v Speaker 2>explain that to us.

0:25:42.480 --> 0:25:46.760
<v Speaker 12>Great, Yeah, just a little over six hundred orders at

0:25:46.760 --> 0:25:49.040
<v Speaker 12>this point, and you know, just to put that number

0:25:49.200 --> 0:25:54.679
<v Speaker 12>into perspective, Tesla delivered roughly that number of vehicles around

0:25:54.720 --> 0:25:57.959
<v Speaker 12>every four hours in the first half, so really really tiny.

0:25:58.080 --> 0:26:01.080
<v Speaker 12>And this is not necessarily a show, right. India is

0:26:01.080 --> 0:26:04.720
<v Speaker 12>a very price price conscious, price sensitive market. There's not

0:26:04.800 --> 0:26:07.880
<v Speaker 12>a lot of demand for more expensive vehicles, and part

0:26:07.920 --> 0:26:09.720
<v Speaker 12>of that, of course has to do with you know,

0:26:09.840 --> 0:26:15.199
<v Speaker 12>tax treatment and tariffs. Tesla's getting some relief from that perspective,

0:26:15.240 --> 0:26:18.159
<v Speaker 12>but not a whole lot. And you know, I do

0:26:18.240 --> 0:26:21.280
<v Speaker 12>think that even with the the sort of relief being

0:26:21.840 --> 0:26:25.320
<v Speaker 12>you know, only so helpful, I think there was still

0:26:25.359 --> 0:26:31.240
<v Speaker 12>some hope or some you know, prayers that maybe you know,

0:26:31.320 --> 0:26:34.399
<v Speaker 12>India would be a source of growth for this company company,

0:26:34.440 --> 0:26:36.560
<v Speaker 12>and it's looking like, you know, a pretty slow start

0:26:36.560 --> 0:26:37.040
<v Speaker 12>for them there.

0:26:37.080 --> 0:26:38.879
<v Speaker 4>I meanwhile, China is not source of growth.

0:26:38.920 --> 0:26:41.919
<v Speaker 3>We've seen yet another dismal monthly numbers in terms of

0:26:41.920 --> 0:26:45.240
<v Speaker 3>four percent lower in terms of units being shipped, not

0:26:45.359 --> 0:26:49.200
<v Speaker 3>to mention Europe's number last week, which was very ugly. Craig,

0:26:49.320 --> 0:26:51.560
<v Speaker 3>all of this just speaks to an ongoing weakness in

0:26:51.640 --> 0:26:52.600
<v Speaker 3>car sales or Tesla.

0:26:53.960 --> 0:26:56.640
<v Speaker 12>Yeah, and I do think, you know, the US, of course,

0:26:56.680 --> 0:26:59.960
<v Speaker 12>will be very interesting to see over the next you know,

0:27:00.000 --> 0:27:03.159
<v Speaker 12>a few weeks. We'll get quarterly deliveries at the beginning

0:27:03.200 --> 0:27:06.840
<v Speaker 12>of next month. I think everyone is, of course counting

0:27:06.840 --> 0:27:09.280
<v Speaker 12>on there being a big pull ahead of people in

0:27:09.359 --> 0:27:12.840
<v Speaker 12>America wanting to take advantage of the tax credits before

0:27:12.840 --> 0:27:16.040
<v Speaker 12>they go away, and Tesla really kind of utilizing that

0:27:16.080 --> 0:27:18.439
<v Speaker 12>for all it's worth. But the big question for me

0:27:18.560 --> 0:27:20.639
<v Speaker 12>is what's on the other side of that. And also,

0:27:21.119 --> 0:27:24.119
<v Speaker 12>you know, even even if we see you know, a

0:27:24.200 --> 0:27:27.400
<v Speaker 12>strong US number, will it be offset by the fact that,

0:27:27.480 --> 0:27:30.080
<v Speaker 12>you know, the China slow down is substantial and the

0:27:30.119 --> 0:27:33.720
<v Speaker 12>europe you know, sales. I think it's safe to refer

0:27:33.760 --> 0:27:36.119
<v Speaker 12>to them as an out and out collapse at this point.

0:27:36.960 --> 0:27:40.080
<v Speaker 2>Craig Tesla's published Master Plan Part four in the last

0:27:40.119 --> 0:27:42.119
<v Speaker 2>twenty four hours. But the bit we're paying attention to

0:27:42.920 --> 0:27:45.600
<v Speaker 2>was some commentary from Mila Musk on X about the

0:27:45.640 --> 0:27:48.800
<v Speaker 2>future of the business. And it's not cars or robotaxis,

0:27:49.080 --> 0:27:50.320
<v Speaker 2>it's humanoid robots.

0:27:51.760 --> 0:27:54.520
<v Speaker 12>Yeah, and I do wonder how much of this is

0:27:54.760 --> 0:27:57.840
<v Speaker 12>you know, an effort on Musk's part to kind of

0:27:58.520 --> 0:28:01.800
<v Speaker 12>paper over and distract from from how much of a

0:28:01.880 --> 0:28:04.879
<v Speaker 12>challenge they're having on the car side. And the question,

0:28:04.960 --> 0:28:08.480
<v Speaker 12>of course, with this potential for optimist is when is

0:28:08.520 --> 0:28:10.679
<v Speaker 12>this thing actually going to be ready for you know,

0:28:11.440 --> 0:28:15.800
<v Speaker 12>actual revenue generation, you know, when anyone's been able to

0:28:15.840 --> 0:28:18.520
<v Speaker 12>pin Elon down on a sort of rough sense of

0:28:18.560 --> 0:28:21.280
<v Speaker 12>a date. He talked back in January about maybe the

0:28:21.359 --> 0:28:24.199
<v Speaker 12>second half of next year. This thing is, you know,

0:28:24.280 --> 0:28:29.040
<v Speaker 12>effective for really cool videos, for little demonstrations, but in

0:28:29.600 --> 0:28:32.560
<v Speaker 12>Elon terms, you know, this thing is not necessarily doing

0:28:32.600 --> 0:28:35.480
<v Speaker 12>something useful yet, And until and unless we see that,

0:28:35.560 --> 0:28:37.480
<v Speaker 12>it's really hard to kind of take him at his

0:28:37.520 --> 0:28:39.760
<v Speaker 12>word that this valuation of the company is going to

0:28:39.760 --> 0:28:42.600
<v Speaker 12>be tied to something that is still just an internal

0:28:42.600 --> 0:28:43.720
<v Speaker 12>developmental project.

0:28:43.720 --> 0:28:47.000
<v Speaker 3>At this point, we're watching those little cool videos as

0:28:47.040 --> 0:28:50.120
<v Speaker 3>you're speaking. Creatudell, Thanks for breaking down all of those

0:28:50.160 --> 0:28:53.320
<v Speaker 3>stories for us. Let's keep the conversation going because Pierre

0:28:53.360 --> 0:28:55.760
<v Speaker 3>Farragho is with US New Street Research had a global

0:28:55.760 --> 0:28:58.080
<v Speaker 3>tech infrastructure. Who has I think it is four hundred

0:28:58.080 --> 0:29:01.240
<v Speaker 3>and sixty five price target on Tesla. Clearly see forty

0:29:01.280 --> 0:29:04.840
<v Speaker 3>percent upside from here. But when you're hearing the master

0:29:04.880 --> 0:29:08.560
<v Speaker 3>Plan part four, are you sing optimists could really be

0:29:08.600 --> 0:29:09.880
<v Speaker 3>eighty percent of revenue?

0:29:10.520 --> 0:29:14.480
<v Speaker 13>Well, optimist is about you know, creating like humanoid robots

0:29:14.480 --> 0:29:18.640
<v Speaker 13>that could take billions of jobs on the planet. So

0:29:18.680 --> 0:29:21.920
<v Speaker 13>as long as you remain vague on timeline and what

0:29:22.040 --> 0:29:24.800
<v Speaker 13>the scenario looks like, yes, it's very easy to imagine

0:29:24.840 --> 0:29:31.920
<v Speaker 13>that Tesla would be first like extended in terms of

0:29:32.000 --> 0:29:35.720
<v Speaker 13>valuation with like a successful robot taxi operation, and then

0:29:35.720 --> 0:29:39.680
<v Speaker 13>of course like a fleet of like hundreds of millions

0:29:39.680 --> 0:29:43.360
<v Speaker 13>of human in robots with dwarf Actually, is the economic

0:29:43.480 --> 0:29:46.800
<v Speaker 13>value of even a robot taxi business. So you have

0:29:46.840 --> 0:29:49.880
<v Speaker 13>to remember that you know this this planned Tesla publishes

0:29:49.960 --> 0:29:53.280
<v Speaker 13>and even likes to comment on, is really like a vision,

0:29:53.880 --> 0:30:00.600
<v Speaker 13>like a stretch vision. Is always been managing managing his businesses,

0:30:01.240 --> 0:30:03.240
<v Speaker 13>bringing up like the very long term visions, and he

0:30:03.360 --> 0:30:07.120
<v Speaker 13>has his way of presented presenting these versions very often

0:30:07.160 --> 0:30:11.200
<v Speaker 13>with like a slightly distorted time timescale, you know when

0:30:11.200 --> 0:30:14.120
<v Speaker 13>he talks about like mass and the conquest of mass

0:30:14.160 --> 0:30:16.320
<v Speaker 13>and the SpaceX and things like that. So you have

0:30:16.400 --> 0:30:19.760
<v Speaker 13>to put the comments in the right context. So today

0:30:20.720 --> 0:30:23.520
<v Speaker 13>we know that the robot taxi business in the most

0:30:23.520 --> 0:30:26.640
<v Speaker 13>boutish case which should be test like in scale with

0:30:26.760 --> 0:30:31.040
<v Speaker 13>robot taxes, doesn't really have significant competition. Given like the

0:30:32.600 --> 0:30:35.720
<v Speaker 13>quality of their cost base, that business would be worth

0:30:35.840 --> 0:30:38.239
<v Speaker 13>multiple trillions than would be already like a multiple as

0:30:38.280 --> 0:30:42.080
<v Speaker 13>the existing motor business. And yes, on top of that,

0:30:42.480 --> 0:30:46.680
<v Speaker 13>a human robot bull case where Tesla dominates the space

0:30:46.720 --> 0:30:50.480
<v Speaker 13>again and human aid robots can take over hundreds of

0:30:50.560 --> 0:30:53.160
<v Speaker 13>millions of jobs, you can easily get like you know,

0:30:53.280 --> 0:30:56.800
<v Speaker 13>to like the large number of trillions, like close to

0:30:56.800 --> 0:31:01.040
<v Speaker 13>ten trillion dollars of valuation. This is what I have

0:31:01.160 --> 0:31:03.720
<v Speaker 13>in my model and what you should bang on beck

0:31:03.840 --> 0:31:04.360
<v Speaker 13>On today.

0:31:04.440 --> 0:31:04.800
<v Speaker 8>Maybe not.

0:31:06.920 --> 0:31:10.160
<v Speaker 2>I spent a lot of time reading the document. It's

0:31:10.200 --> 0:31:13.640
<v Speaker 2>like an economic theory, right, they're basically arguing that because

0:31:13.680 --> 0:31:17.440
<v Speaker 2>Tesla can scale, if they do build all of these things,

0:31:17.680 --> 0:31:20.240
<v Speaker 2>there will be this sort of great economic impact around

0:31:20.280 --> 0:31:23.560
<v Speaker 2>the world to people of all class economic classes. Is

0:31:23.560 --> 0:31:26.440
<v Speaker 2>that something pair that is it analyst covering a specific

0:31:26.520 --> 0:31:29.040
<v Speaker 2>name or specific stock that you kind of model for

0:31:29.120 --> 0:31:31.200
<v Speaker 2>you go, okay, in the future, Tesla is going to

0:31:31.280 --> 0:31:32.760
<v Speaker 2>change the world economy as we know it.

0:31:34.440 --> 0:31:36.520
<v Speaker 13>Yeah, it's a very good it's a great question ed.

0:31:37.040 --> 0:31:39.960
<v Speaker 13>So let's look at you know, like what is tangible

0:31:39.960 --> 0:31:42.120
<v Speaker 13>at Tesla today is that's EOTO business, And let's look

0:31:42.120 --> 0:31:44.720
<v Speaker 13>at what good and is do covering Tesla. You understand

0:31:44.760 --> 0:31:50.040
<v Speaker 13>teslas technological you know leadership, you know, how early is

0:31:50.040 --> 0:31:52.240
<v Speaker 13>it coming to the market, is what kind of deformance,

0:31:52.280 --> 0:31:55.080
<v Speaker 13>what kind of features? And then you measure sort of

0:31:55.080 --> 0:31:59.360
<v Speaker 13>the deformance of Tesla's course based like the cost efficiency.

0:32:00.320 --> 0:32:03.080
<v Speaker 13>And so that's what we've done over the last five

0:32:03.160 --> 0:32:05.280
<v Speaker 13>years looking at Tesla and what you're seeing that Tesla

0:32:05.320 --> 0:32:08.280
<v Speaker 13>came into the market five years ago in large scale

0:32:09.160 --> 0:32:12.719
<v Speaker 13>with really like a cosway that was not that nobody

0:32:12.720 --> 0:32:15.600
<v Speaker 13>could approach, and also with like a performance, like a

0:32:15.680 --> 0:32:20.200
<v Speaker 13>quality of innovations that nobody could approach today. As you

0:32:20.240 --> 0:32:23.680
<v Speaker 13>see in China, local Chinese competitors are actually capable of

0:32:23.720 --> 0:32:28.120
<v Speaker 13>being very competitive with Tesla in terms of innovation and

0:32:28.160 --> 0:32:30.280
<v Speaker 13>in terms of cost as well. We've done very detailed

0:32:30.280 --> 0:32:35.680
<v Speaker 13>analysis of the cost of manufacturing a car, bid and

0:32:35.760 --> 0:32:38.479
<v Speaker 13>others versus Tesla, and what you see that they are

0:32:38.520 --> 0:32:42.560
<v Speaker 13>a bass on par so that type of analytical where

0:32:42.600 --> 0:32:44.240
<v Speaker 13>you can do it on a business that is actually

0:32:44.360 --> 0:32:47.480
<v Speaker 13>ramping today if you look at it like in the

0:32:47.520 --> 0:32:50.080
<v Speaker 13>longer term, it's more difficult to do. But what you

0:32:50.160 --> 0:32:54.880
<v Speaker 13>can get from Tesla is very interesting perspective that by

0:32:54.960 --> 0:32:59.320
<v Speaker 13>having a very very proactive and very integrated model and vision,

0:33:00.040 --> 0:33:05.360
<v Speaker 13>they can actually hit technological and innovation leadership with by

0:33:05.440 --> 0:33:08.920
<v Speaker 13>far the most advanced cause base, which is exactly where

0:33:08.920 --> 0:33:11.520
<v Speaker 13>they are today on the robot Taxta front. They have

0:33:11.640 --> 0:33:16.680
<v Speaker 13>the cheapest platform and the platform that today is you know,

0:33:16.920 --> 0:33:19.320
<v Speaker 13>the jury is still slightly out, but probably like the

0:33:19.560 --> 0:33:23.160
<v Speaker 13>highest platforming platform as well. And then of course Ilan's

0:33:23.160 --> 0:33:25.520
<v Speaker 13>bet is to put Tesla in the same position with

0:33:25.600 --> 0:33:27.680
<v Speaker 13>the human and robot into three years from now.

0:33:27.880 --> 0:33:29.680
<v Speaker 4>Peah, you mentioned China several times.

0:33:29.880 --> 0:33:32.360
<v Speaker 3>I just want to broad out out the conversation briefly.

0:33:32.680 --> 0:33:35.680
<v Speaker 3>When you're looking at TSMC being limited for equipment can

0:33:35.680 --> 0:33:38.920
<v Speaker 3>get in. You cover KLA, I see you cover Tokyo Electron,

0:33:39.000 --> 0:33:41.840
<v Speaker 3>you cover aland research. How much these companies can be

0:33:41.880 --> 0:33:43.320
<v Speaker 3>impacted by US China.

0:33:45.240 --> 0:33:49.400
<v Speaker 13>Well, they're all going to you know, be sitting on

0:33:49.440 --> 0:33:53.120
<v Speaker 13>their hands waiting for like directions of how the negotiation

0:33:53.280 --> 0:33:56.040
<v Speaker 13>and the relationship between the US and China is going

0:33:56.080 --> 0:34:00.480
<v Speaker 13>to be is going to be handled. If you take

0:34:00.520 --> 0:34:04.760
<v Speaker 13>specifically like semicap equipment players, they are generating a lot

0:34:04.760 --> 0:34:07.000
<v Speaker 13>of their revenue still both twenty percent of their revenues

0:34:07.120 --> 0:34:09.040
<v Speaker 13>is coming from China today and to us it's an

0:34:09.040 --> 0:34:13.120
<v Speaker 13>overhand it's a concern. It's probably coming down normalizing over time.

0:34:13.160 --> 0:34:15.800
<v Speaker 13>So we see that as a potential, you know, headwinds

0:34:16.800 --> 0:34:20.000
<v Speaker 13>on their financial performance. But you have to take things

0:34:20.000 --> 0:34:22.200
<v Speaker 13>back to where they are. It's only twenty percent of

0:34:22.680 --> 0:34:27.719
<v Speaker 13>their business. Yeah, that's kind of like a peakish at

0:34:27.760 --> 0:34:30.919
<v Speaker 13>a peak, so it's not like a game changer for them.

0:34:31.040 --> 0:34:33.879
<v Speaker 3>Of course, Pierre fair Good giving us honest on what's

0:34:33.920 --> 0:34:36.000
<v Speaker 3>game changing in China New Street Research.

0:34:36.320 --> 0:34:37.279
<v Speaker 4>We so appreciate it.

0:34:37.360 --> 0:34:39.719
<v Speaker 3>Meanwhile, coming up and recent Horror It's partner Olivia Moore

0:34:39.880 --> 0:34:43.320
<v Speaker 3>joins us discuss the top one hundred gen AI consumeer apps.

0:34:43.600 --> 0:34:45.719
<v Speaker 4>Let's see how many you're using the supreme bak tack.

0:34:54.640 --> 0:34:57.239
<v Speaker 3>And recent Horowitz has again released it's top one hundred

0:34:57.280 --> 0:35:00.640
<v Speaker 3>Jannit of AI consumer apps, fifty AI first Web products

0:35:00.640 --> 0:35:02.160
<v Speaker 3>at fifty top AI.

0:35:01.760 --> 0:35:02.960
<v Speaker 4>First Mobile apps.

0:35:03.400 --> 0:35:05.800
<v Speaker 3>And for that to discuss, we have Olivia Moore joining

0:35:05.840 --> 0:35:08.760
<v Speaker 3>a sixteen Z partner on the consumer team focused on AI.

0:35:08.840 --> 0:35:11.600
<v Speaker 3>We are so thankful because like many in the world,

0:35:11.760 --> 0:35:14.319
<v Speaker 3>we are a wash with the latest, greatest Jenai app

0:35:14.320 --> 0:35:16.120
<v Speaker 3>that we should download and when we should use it.

0:35:16.520 --> 0:35:17.440
<v Speaker 4>What's interesting with.

0:35:17.440 --> 0:35:20.680
<v Speaker 3>Your list is that we're starting to see basically stability.

0:35:20.880 --> 0:35:23.080
<v Speaker 4>We're not seeing a whole host of new names. Each

0:35:23.080 --> 0:35:24.879
<v Speaker 4>iteration app exactly yeah.

0:35:24.920 --> 0:35:27.160
<v Speaker 10>On this version of the list, we only had eleven

0:35:27.239 --> 0:35:29.759
<v Speaker 10>new names of the fifty on web, which was a

0:35:29.800 --> 0:35:32.000
<v Speaker 10>real marked divergence from the last list when it was

0:35:32.040 --> 0:35:35.279
<v Speaker 10>seventeen new names on web. And perhaps most striking to me,

0:35:35.400 --> 0:35:37.560
<v Speaker 10>we've done this list five times now we do it

0:35:37.600 --> 0:35:40.400
<v Speaker 10>every six months, and there were fourteen names that have

0:35:40.440 --> 0:35:43.160
<v Speaker 10>made every single list, which for the fact that we're

0:35:43.200 --> 0:35:45.440
<v Speaker 10>only two years into AI means that we're starting to

0:35:45.440 --> 0:35:46.960
<v Speaker 10>see some really exciting stability.

0:35:47.760 --> 0:35:50.560
<v Speaker 2>Olivia, mister Ela Musk has put in the spotlight recently

0:35:50.680 --> 0:35:53.640
<v Speaker 2>app store methodology, so to the avoidance of any doubt,

0:35:53.640 --> 0:35:56.680
<v Speaker 2>which you just go through the methodology of how Andrees

0:35:56.719 --> 0:35:59.279
<v Speaker 2>and Horowitz has put this list together for the fifth time.

0:35:59.320 --> 0:36:02.160
<v Speaker 10>I believe, Yeah, it's all objective data. So for our

0:36:02.200 --> 0:36:04.960
<v Speaker 10>web list, we use a provider called similar Web. We

0:36:05.080 --> 0:36:08.560
<v Speaker 10>rank every single website globally by the number of monthly visits,

0:36:08.680 --> 0:36:10.760
<v Speaker 10>and then we take the first fifty that are generative

0:36:10.760 --> 0:36:13.239
<v Speaker 10>AI native. And then on the mobile app side, we

0:36:13.320 --> 0:36:15.960
<v Speaker 10>use another provider called sensor Tower. We rank them by

0:36:16.080 --> 0:36:18.560
<v Speaker 10>monthly active users, and we take the first fifty again

0:36:18.600 --> 0:36:19.480
<v Speaker 10>that are AI native.

0:36:20.480 --> 0:36:23.360
<v Speaker 2>So there are some takeaways. Right chat GPT still dominates,

0:36:23.360 --> 0:36:24.600
<v Speaker 2>as you can see on the left hand side of

0:36:24.600 --> 0:36:27.640
<v Speaker 2>the screen, Google is making progress. The way I explained

0:36:27.640 --> 0:36:29.880
<v Speaker 2>this to Caroline this morning and how I approach it

0:36:29.960 --> 0:36:33.680
<v Speaker 2>is I'm starting to see these tools like streaming subscriptions.

0:36:34.239 --> 0:36:36.640
<v Speaker 2>I use all of them, some of them I pay for.

0:36:36.680 --> 0:36:39.719
<v Speaker 2>Bloomberg gives me a corporate access to chat GPT. Some

0:36:39.800 --> 0:36:42.160
<v Speaker 2>of them are free, but at some point I've got

0:36:42.200 --> 0:36:44.719
<v Speaker 2>to decide which I don't want any more. Does the

0:36:44.800 --> 0:36:47.920
<v Speaker 2>data show any of that, like short term use moving

0:36:47.960 --> 0:36:48.400
<v Speaker 2>to others.

0:36:49.040 --> 0:36:51.800
<v Speaker 10>Yeah, it's really interesting. There's a lot of cross app usage.

0:36:51.920 --> 0:36:54.719
<v Speaker 10>Quite a few general LM products made the list, and

0:36:54.760 --> 0:36:57.000
<v Speaker 10>you might expect that consumers would pick one of these,

0:36:57.080 --> 0:37:01.280
<v Speaker 10>like chat GBT or Perplexity or claud or pep seek instead.

0:37:01.280 --> 0:37:03.400
<v Speaker 10>What we're seeing in the early days is consumers are

0:37:03.480 --> 0:37:06.600
<v Speaker 10>using all of them, but maybe for different reasons every time.

0:37:07.280 --> 0:37:09.920
<v Speaker 10>But we're also seeing the emergence of things like consumer

0:37:09.960 --> 0:37:12.640
<v Speaker 10>subscriptions that cost two hundred dollars a month to use

0:37:12.680 --> 0:37:15.520
<v Speaker 10>the best version of CHATCHYBT in Perplexity, and so for

0:37:15.640 --> 0:37:17.880
<v Speaker 10>moving towards that version of the world, we might expect

0:37:17.920 --> 0:37:19.879
<v Speaker 10>to see them have to make a choice, so you're

0:37:19.880 --> 0:37:22.360
<v Speaker 10>not paying thousands and thousands of dollars per month across

0:37:22.360 --> 0:37:23.520
<v Speaker 10>your AI subscriptions.

0:37:23.719 --> 0:37:27.279
<v Speaker 3>So blend this with a sixteen z's own perspective here

0:37:27.520 --> 0:37:31.520
<v Speaker 3>on whether there will be an NLM to rule them all,

0:37:31.680 --> 0:37:34.840
<v Speaker 3>whether we'll all end up defaulting to ultimately CHATCHYBT, or

0:37:34.880 --> 0:37:38.080
<v Speaker 3>whether it's Gemini or Glock whether actually we will be

0:37:38.160 --> 0:37:40.719
<v Speaker 3>specific and we will see that there are lanes for

0:37:40.840 --> 0:37:43.279
<v Speaker 3>different apps for different use cases and they will have

0:37:43.360 --> 0:37:45.480
<v Speaker 3>different benefits.

0:37:45.560 --> 0:37:45.799
<v Speaker 4>Yeah.

0:37:46.440 --> 0:37:48.719
<v Speaker 10>I think the interesting thing about this list is CHATCHYBT

0:37:48.880 --> 0:37:51.600
<v Speaker 10>is definitely in the lead. So the number two Gemini

0:37:51.680 --> 0:37:54.319
<v Speaker 10>has about twelve percent of the traffic on web, so

0:37:54.360 --> 0:37:56.319
<v Speaker 10>it's a very big drop off between number one and

0:37:56.400 --> 0:37:59.319
<v Speaker 10>number two. But there's also an incredibly long tail here.

0:37:59.360 --> 0:38:01.720
<v Speaker 10>There's app on this list that have never raised funding.

0:38:01.760 --> 0:38:04.560
<v Speaker 10>There's apps on this list that have millions of users

0:38:04.600 --> 0:38:07.200
<v Speaker 10>but maybe do something as specific as removing a background

0:38:07.239 --> 0:38:10.520
<v Speaker 10>from a photo or generating a PowerPoint presentation. So I

0:38:10.520 --> 0:38:12.759
<v Speaker 10>think our view as a firm is that we have

0:38:13.000 --> 0:38:15.520
<v Speaker 10>the best models in the world from OPENINGI, Google and

0:38:15.560 --> 0:38:18.799
<v Speaker 10>many other companies that they're making available through API. Some

0:38:18.840 --> 0:38:21.560
<v Speaker 10>of them are even being open sourced, and that allows

0:38:21.560 --> 0:38:25.279
<v Speaker 10>companies and developers that are more opinionated about products to

0:38:25.320 --> 0:38:29.120
<v Speaker 10>build things that will serve customers for more specific use cases,

0:38:29.160 --> 0:38:32.080
<v Speaker 10>and in many cases those customers are probably more likely

0:38:32.120 --> 0:38:34.840
<v Speaker 10>to pay versus maybe using the free version of something

0:38:34.840 --> 0:38:35.640
<v Speaker 10>like a CHATGBT.

0:38:36.719 --> 0:38:39.120
<v Speaker 3>I think what's interesting is for the last couple of

0:38:39.160 --> 0:38:42.040
<v Speaker 3>weeks we've been obsessed about how enterprise is adopting or

0:38:42.040 --> 0:38:44.440
<v Speaker 3>not adopting to efficiency. The MIT report the fact that

0:38:44.520 --> 0:38:48.520
<v Speaker 3>ninety five percent of pilots are ultimately not bringing ROAI.

0:38:49.200 --> 0:38:51.719
<v Speaker 3>When you're thinking about consumer perspective here that some of

0:38:51.719 --> 0:38:52.920
<v Speaker 3>them names.

0:38:52.640 --> 0:38:54.120
<v Speaker 4>Are sort of enterprise and nature.

0:38:54.600 --> 0:38:57.520
<v Speaker 3>Are people getting return on their AI investment to the

0:38:57.520 --> 0:38:58.400
<v Speaker 3>amount that they need to?

0:38:58.600 --> 0:39:01.160
<v Speaker 10>Yeah, we're seeing a big kind of what I call

0:39:01.200 --> 0:39:04.040
<v Speaker 10>the great expansion of consumer software, which is really new

0:39:04.080 --> 0:39:06.520
<v Speaker 10>in the AI era, which is that previously you would

0:39:06.560 --> 0:39:09.920
<v Speaker 10>see consumer companies take years, if not decades to actually

0:39:10.200 --> 0:39:13.320
<v Speaker 10>transition their software to enterprise. Think about Canva took them

0:39:13.520 --> 0:39:16.000
<v Speaker 10>eight plus years to even have a teams plan. Now

0:39:16.040 --> 0:39:18.160
<v Speaker 10>we have companies like eleven Labs that are going from

0:39:18.239 --> 0:39:21.440
<v Speaker 10>zero to hundreds of millions of revenue in two years

0:39:21.520 --> 0:39:24.439
<v Speaker 10>or less. And many of these companies are actually making much,

0:39:24.480 --> 0:39:26.920
<v Speaker 10>if not most, of their revenue from enterprises, which is

0:39:26.960 --> 0:39:29.760
<v Speaker 10>really exciting. We do take a look at the retention data,

0:39:29.840 --> 0:39:33.120
<v Speaker 10>and our data shows that for generative AI products, there's

0:39:33.160 --> 0:39:35.320
<v Speaker 10>a lot of tourism. So if you're a free user,

0:39:35.680 --> 0:39:37.719
<v Speaker 10>you're probably less likely to retain than you would be

0:39:37.760 --> 0:39:41.480
<v Speaker 10>on a comm or a Duolingo or PREAI subscription. But

0:39:41.480 --> 0:39:43.759
<v Speaker 10>if you're a paid user, you're just as likely as

0:39:44.000 --> 0:39:46.719
<v Speaker 10>to retain, So that suggests that the ROI is there,

0:39:46.719 --> 0:39:48.960
<v Speaker 10>at least for those consumer and prosumer users.

0:39:49.640 --> 0:39:52.040
<v Speaker 2>Olivia, we've told you what we're up to. Which apps

0:39:52.080 --> 0:39:54.560
<v Speaker 2>are you using and how are you using them?

0:39:54.880 --> 0:39:56.640
<v Speaker 10>I have a lot of appleing use. I publish my

0:39:56.719 --> 0:39:59.600
<v Speaker 10>whole stack recently. I am a power user of Chat GBT.

0:40:00.120 --> 0:40:02.840
<v Speaker 10>I'm also a power user of Google on their Ultra subscription.

0:40:02.920 --> 0:40:05.040
<v Speaker 10>I'm a big fan of vo three and the new

0:40:05.200 --> 0:40:10.360
<v Speaker 10>Nano Banana Photoshop esque video editing image editing model that

0:40:10.400 --> 0:40:12.600
<v Speaker 10>they launched. I also use a lot of products like

0:40:12.640 --> 0:40:15.480
<v Speaker 10>Krea for creative tools. Gamma used to create almost all

0:40:15.480 --> 0:40:18.680
<v Speaker 10>of my presentations. There's everything as specific as a product

0:40:18.719 --> 0:40:21.200
<v Speaker 10>now called Happenstance that lets you search through your network

0:40:21.280 --> 0:40:24.439
<v Speaker 10>much more easily than LinkedIn. I would say my top

0:40:24.480 --> 0:40:26.759
<v Speaker 10>advice for anyone interested in AI is just to try

0:40:26.800 --> 0:40:29.719
<v Speaker 10>the products because it's absolutely the easiest way to learn.

0:40:29.800 --> 0:40:33.400
<v Speaker 3>When you're thinking about investing. I look at you know

0:40:33.440 --> 0:40:35.480
<v Speaker 3>some of the names on here. Mid Journey is a

0:40:35.520 --> 0:40:38.239
<v Speaker 3>fascinating case study which has never taken money and been

0:40:38.280 --> 0:40:42.480
<v Speaker 3>able to scale and hold on and retain users. Where

0:40:42.520 --> 0:40:45.799
<v Speaker 3>do you think the best dollar is allocated from an

0:40:45.800 --> 0:40:46.680
<v Speaker 3>A sixteen zier the.

0:40:46.640 --> 0:40:49.840
<v Speaker 10>Moment, Yeah, it's a good question. We invest both in

0:40:49.880 --> 0:40:54.840
<v Speaker 10>the model companies themselves, many of which have grown extremely quickly,

0:40:54.960 --> 0:40:57.120
<v Speaker 10>and then at the application layer companies. I think we're

0:40:57.200 --> 0:40:59.680
<v Speaker 10>very focused to your earlier point about companies that are

0:41:00.200 --> 0:41:03.480
<v Speaker 10>vertically oriented and our building for specific users. We talk

0:41:03.520 --> 0:41:05.560
<v Speaker 10>about founders that have kind of an earned secret or

0:41:05.600 --> 0:41:09.080
<v Speaker 10>a special insight and are almost maniacal about building.

0:41:08.760 --> 0:41:09.800
<v Speaker 4>For a specific user.

0:41:09.840 --> 0:41:12.719
<v Speaker 10>And so often these are not the extremely general, broad

0:41:12.760 --> 0:41:14.759
<v Speaker 10>based products that you can do anything on, but are

0:41:14.840 --> 0:41:17.200
<v Speaker 10>products that are really really specific for one or two

0:41:17.200 --> 0:41:19.600
<v Speaker 10>things that users might want to do and almost become

0:41:19.640 --> 0:41:21.920
<v Speaker 10>their system of record or a new core workspace or

0:41:21.920 --> 0:41:23.359
<v Speaker 10>canvas for them to get things done.

0:41:24.560 --> 0:41:26.920
<v Speaker 2>Olivia more Partner and jreson Horror. It's great to have

0:41:26.960 --> 0:41:29.319
<v Speaker 2>you on Boomberg Tech. Thank you very much. Now coming up,

0:41:30.040 --> 0:41:34.600
<v Speaker 2>these beautiful images are from the Hubble telescope, but plans

0:41:34.600 --> 0:41:37.160
<v Speaker 2>for telescopes that could give us an even deeper view

0:41:37.200 --> 0:41:40.640
<v Speaker 2>of space could be delayed following US budget cuts. We're

0:41:40.640 --> 0:41:42.520
<v Speaker 2>going to talk about that next stay with us. This

0:41:42.600 --> 0:41:43.640
<v Speaker 2>is Bloomberg Tech.

0:41:55.040 --> 0:41:57.920
<v Speaker 3>Cuts by the Trump administration are threatening to delay construction

0:41:58.040 --> 0:42:01.239
<v Speaker 3>of a new powerful telescope, one that scientists say can

0:42:01.320 --> 0:42:05.239
<v Speaker 3>fastly expand our understanding of the universe. US astronomers warn

0:42:05.280 --> 0:42:08.240
<v Speaker 3>the setback may give China and edge in space research

0:42:08.480 --> 0:42:11.000
<v Speaker 3>as bring in bluemogs. Bruce Einhorn, who's been covering this story,

0:42:11.040 --> 0:42:13.719
<v Speaker 3>It's a beautifully written sort of deep dive into what

0:42:13.760 --> 0:42:15.200
<v Speaker 3>these funding cuts could mean.

0:42:15.520 --> 0:42:18.120
<v Speaker 4>But why US versus China? Why is this a worry

0:42:18.160 --> 0:42:19.840
<v Speaker 4>from a national security perspective?

0:42:19.840 --> 0:42:24.000
<v Speaker 14>Bruce, Well, the US has long been a leader in astronomy,

0:42:24.480 --> 0:42:27.719
<v Speaker 14>dating back to the end of World War Two, and

0:42:27.760 --> 0:42:33.120
<v Speaker 14>it's part of a broader pushed by the United States

0:42:33.160 --> 0:42:36.439
<v Speaker 14>to invest in science. And you know, there are lots

0:42:36.440 --> 0:42:40.560
<v Speaker 14>of spillover effects from having those sorts of investments. China

0:42:40.719 --> 0:42:44.560
<v Speaker 14>is making big investments in science now. There is concern

0:42:45.120 --> 0:42:50.840
<v Speaker 14>among many scientists that Trump administration's plans to reduce spendings,

0:42:50.840 --> 0:42:53.560
<v Speaker 14>say by the National Science Foundation, will have in effect

0:42:53.920 --> 0:42:57.160
<v Speaker 14>not just on the projects themselves, but also on the

0:42:57.200 --> 0:43:01.640
<v Speaker 14>scientific ecosystem of post and graduate students and all the

0:43:01.680 --> 0:43:04.880
<v Speaker 14>people who are there to make sense of all the

0:43:04.960 --> 0:43:05.800
<v Speaker 14>data that gets.

0:43:05.600 --> 0:43:09.440
<v Speaker 2>Generated Bruce, just really quick, is there any evidence that

0:43:09.480 --> 0:43:11.880
<v Speaker 2>the US government kind of heeds the warning from the

0:43:11.920 --> 0:43:13.719
<v Speaker 2>scientific community here in America.

0:43:14.920 --> 0:43:18.239
<v Speaker 14>Well, we're still waiting to find out just what the

0:43:18.560 --> 0:43:21.800
<v Speaker 14>budget allocation will be. Of course, the budget process is

0:43:21.840 --> 0:43:25.400
<v Speaker 14>still very much underway. The administration had proposed a pretty

0:43:25.440 --> 0:43:30.600
<v Speaker 14>big cut, more than fifty percent to the National Science

0:43:30.680 --> 0:43:34.399
<v Speaker 14>Foundation as part of its budget proposal. There has been

0:43:34.400 --> 0:43:39.080
<v Speaker 14>some pushback from Capitol Hill about that, and we're still

0:43:39.080 --> 0:43:41.920
<v Speaker 14>waiting to see just how much money will get allocated.

0:43:42.880 --> 0:43:45.799
<v Speaker 2>Bloomberg's Bruce Einhorn, thank you very much. That does it

0:43:45.840 --> 0:43:49.920
<v Speaker 2>for this edition of Bloomberg Tech. Carrow markets in focus

0:43:49.960 --> 0:43:52.720
<v Speaker 2>because of the mag seven declines. But what an episode

0:43:52.719 --> 0:43:54.320
<v Speaker 2>it has been to start a short week.

0:43:54.320 --> 0:43:56.799
<v Speaker 3>Only twelve stocks eleven now in the green run then

0:43:56.840 --> 0:43:57.680
<v Speaker 3>as that one hundred.

0:43:57.719 --> 0:43:59.360
<v Speaker 4>Don't forget to check out all.

0:43:59.280 --> 0:44:01.000
<v Speaker 3>Of our coverage on our podcast to find on the

0:44:01.080 --> 0:44:03.120
<v Speaker 3>terminal as well as online on Apple Spotify.

0:44:03.200 --> 0:44:05.239
<v Speaker 4>And iHeart great to have you back in. This is

0:44:05.280 --> 0:44:05.960
<v Speaker 4>Boomberg Tech