WEBVTT - China Hit with Chip Curbs, X and SpaceX Move to Texas

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<v Speaker 1>From Mahart.

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<v Speaker 2>We're Innovation, Money and Power Collie in Silicon Vallet NBN.

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<v Speaker 1>This is Bloomberg Technology with Caroline Hyde.

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<v Speaker 3>And Ed Ludlove.

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<v Speaker 4>Live from New York and San Francisco. This is Bloomberg

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<v Speaker 4>Technology coming up. The US in weighs tougher trade curbs

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<v Speaker 4>on chips for China stocks, tumble.

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<v Speaker 5>Plusy Lommask moves SpaceX and X to Texas, and.

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<v Speaker 6>Will Jdvans be good for business?

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<v Speaker 4>We'll discuss, but first let's check in on these markets

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<v Speaker 4>because we are having the worst day for the NASAC

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<v Speaker 4>and the Nasdaq one hundred since October of twenty twenty three.

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<v Speaker 4>We are pulled lower, in particular on the chip stocks

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<v Speaker 4>of by three point nine percent.

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<v Speaker 6>The key is trade tensions.

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<v Speaker 4>The key is the Biden administration wanting to be limiting

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<v Speaker 4>sales of key AI technolog and chips to China.

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<v Speaker 6>And Ed you have got the details on the micro.

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<v Speaker 5>Yeah, there's two names I'm looking at in particular. They

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<v Speaker 5>are global names. We're absolutely right that it's the chip

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<v Speaker 5>stocks in the US that are really weighing on markets.

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<v Speaker 5>Tokyo Electron down seven point five percent overnight in Japan,

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<v Speaker 5>biggest drop since April of this year, ASML, the Dutch

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<v Speaker 5>chip equipment maker, down ten point eight percent, on track

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<v Speaker 5>for its biggest drop since March of twenty twenty. The

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<v Speaker 5>story that Bloomberg's reporting is that US officials are considering

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<v Speaker 5>tougher curves on the access of the technology made by

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<v Speaker 5>those companies to China buy Chinese companies. Let's get into it,

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<v Speaker 5>Bloombazi and King joins us in San Francisco. Sarah Jacob

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<v Speaker 5>joins us out of ansen Ian. I'm going to start

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<v Speaker 5>with you. We're talking about something called the Foreign Direct

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<v Speaker 5>Product Rule FDPR. Sources tell us this is something that

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<v Speaker 5>US officials are considering using.

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<v Speaker 1>What is it?

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<v Speaker 7>Yeah, I think it's the way to look at it.

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<v Speaker 7>Is is kind of the nuclear option in terms of

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<v Speaker 7>trade action that can be taken. It's basically saying that

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<v Speaker 7>if something had even the tiniest scintilla of US technology

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<v Speaker 7>or US input, then the US can exert control over it.

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<v Speaker 7>And it's borne out of frustration with the impact that

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<v Speaker 7>we've had with the with what's being perceived as a

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<v Speaker 7>sort of lagging reaction by the allies in terms of

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<v Speaker 7>getting on board with the US, and in terms of

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<v Speaker 7>that effect undermining.

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<v Speaker 4>Go to one of those allies now because ASML, Dutch

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<v Speaker 4>company being hit hard. Their earnings were good, Sarah, but

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<v Speaker 4>the impact on their Chinese sales likely to be tough.

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<v Speaker 3>Yes, that's right. Actually a SML reported second quarter bookings

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<v Speaker 3>that beat estimates, and it's been talking about, you know

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<v Speaker 3>how this is being driven by the artificial intelligence boom

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<v Speaker 3>as we know, ASML has a monopoly and making machines

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<v Speaker 3>that you know, produce the most advanced semiconductors. And this

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<v Speaker 3>is also being driven by demand for very high power

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<v Speaker 3>chips that are needed for AI applications. But certainly people

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<v Speaker 3>looked to how much China accounted for in terms of

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<v Speaker 3>the company's sales, and China count for nearly half of

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<v Speaker 3>asm 's second quarter sales, trumains ASML's biggest market, and

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<v Speaker 3>those sort of a sort of increases. These increasing exports

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<v Speaker 3>also sort of you know, show that risks are wrapping

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<v Speaker 3>up and because of diplomatic tensions possibly between the US

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<v Speaker 3>and the Dutch government to push for more export curbs.

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<v Speaker 4>And this is a diplomatic issue, but also this is

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<v Speaker 4>one that is going to be impacting US companies. We

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<v Speaker 4>know Micron, for example, significant sales to China. Is this

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<v Speaker 4>just signaling yet more is to come when it comes

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<v Speaker 4>to revenue.

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<v Speaker 7>Here, it's signaling I think frustration with the way that

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<v Speaker 7>these curbs have been implemented and the impact that they've had,

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<v Speaker 7>and a concern I think that the Chinese companies, these

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<v Speaker 7>upstarts that were supposed to be held back perhaps haven't been.

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<v Speaker 7>That's really what the tension is going on. And there's

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<v Speaker 7>an exploration and a consideration of other measures and how

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<v Speaker 7>we might exit increasing control. Fundamentally, we don't know what's

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<v Speaker 7>going to happen. Obviously, this current administration is going towards

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<v Speaker 7>the end of its term, so we'll see.

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<v Speaker 5>And therein lies the point that's made in the Bloomberg

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<v Speaker 5>reporting this moment in time, we're headed for a US

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<v Speaker 5>presidential election. Earlier today, Bloomberg spoke to Virginia Governor Glenn Youngkin.

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<v Speaker 1>Just listen to this real quick.

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<v Speaker 8>China is not just a rival. They're trying to dominate

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<v Speaker 8>the world, and they're trying to do it at the

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<v Speaker 8>expense of the United States. We need to not only

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<v Speaker 8>protect ourselves against China, but we need to fight back.

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<v Speaker 8>And so the tariffs that President Trump imposed on China

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<v Speaker 8>when he struck the first Chinese deal were critical in

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<v Speaker 8>order to rebalance an unbalanced situation with China.

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<v Speaker 5>The point raised by the Governor Sarah is that this

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<v Speaker 5>approach by the Biden administration and officials might change depends

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<v Speaker 5>on the outcome of the election later this year. In

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<v Speaker 5>the context of China, what is it that the United

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<v Speaker 5>States wants of its allies where you are in Amsterdam

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<v Speaker 5>namingly the Dutch.

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<v Speaker 3>Oh well, basically for what we're hearing, it's about, you know,

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<v Speaker 3>extending those curves and potentially also looking at how they

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<v Speaker 3>can limit the companies in particularly ASML's ability to service

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<v Speaker 3>and you know, repair restricted gear that's already in China.

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<v Speaker 3>As you know, also in the Netherlands we've had a

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<v Speaker 3>new government and new cabinets in place. We haven't really

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<v Speaker 3>heard from the new cabinet what their policy is going

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<v Speaker 3>to be on this, but we'll have to wait and watch.

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<v Speaker 4>And thank you Sarah Jacob of course in the Netherlands

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<v Speaker 4>coming on on all things at ASML and ship equipment companies.

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<v Speaker 6>I mean, let's just dwell on this for a moment,

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<v Speaker 6>because I love the.

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<v Speaker 4>Way that you bring in what the Governor Youngkin was

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<v Speaker 4>saying about this is not something that can just be

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<v Speaker 4>thought of as talking tough with Biden, knowing that the

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<v Speaker 4>Trump administration likely to be pushing back on China hard.

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<v Speaker 4>And indeed, there was this really important story out today

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<v Speaker 4>on Business Week talking about how Taiwan is currently being

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<v Speaker 4>something that needs to be considered more that actually had

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<v Speaker 4>a big impact on certain US stocks today.

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<v Speaker 1>Yeah.

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<v Speaker 5>I mean, the point made by former President Donald Trump

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<v Speaker 5>in an interviewer BusinessWeek is that if he was come

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<v Speaker 5>to power, he would look at Taiwan, Taiwan paying for protection,

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<v Speaker 5>and a lot of that has been extrapolated out were

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<v Speaker 5>showing Intel and Global foundry shares there being the exceptions

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<v Speaker 5>to today's trading and moving to the upside. And there

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<v Speaker 5>are some notes out there that are saying this is

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<v Speaker 5>toa the only alternative that if President Trump came to

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<v Speaker 5>power in November and took office next year, then an

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<v Speaker 5>action to be taken on TSMC well in the context

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<v Speaker 5>of global manufacturing and semiconductors Intel would be the only

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<v Speaker 5>alternative for investors to back that kind of move. I

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<v Speaker 5>don't know what you make of that, that sort of

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<v Speaker 5>direct correlation, but that seems to be what the market

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<v Speaker 5>suggesting with its trading this morning.

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<v Speaker 4>And look, the direct correlation is so clear. Let's just

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<v Speaker 4>bring up the stock charts. Let's just show how much

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<v Speaker 4>Global Foundriies is outperforming the rest of the market today.

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<v Speaker 4>Every single chip company in the socks is down apart

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<v Speaker 4>from when you're looking in Global Foundries up more than

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<v Speaker 4>nine percent. It was eclipsing ten percent earlier in the trade.

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<v Speaker 4>Intel up two point eight percent. But it is interesting

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<v Speaker 4>to think about how much this onshoring narrative has been

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<v Speaker 4>one that the Biden administration has also been pushing. Yet

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<v Speaker 4>more money being handed out at the moment when it

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<v Speaker 4>comes to the Chips Act.

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<v Speaker 5>We have seen the Bloomberg reporting, We've been through the market.

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<v Speaker 5>Set's get an investors reaction for more. We're joined by

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<v Speaker 5>Kim Forrest, Boca Capital Partners founder and CIO.

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<v Speaker 1>I think let's start with.

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<v Speaker 5>That most recent point that you know. I think the

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<v Speaker 5>market sees a more likely outcome that Trump becomes president

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<v Speaker 5>and based on the BusinessWeek interview, he may look at

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<v Speaker 5>Taiwan TSMC, may be impact and that may benefit the

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<v Speaker 5>foundry or fab business of Intel. Oh, how would you

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<v Speaker 5>assess that and play that, Kim.

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<v Speaker 9>Well, I think you know, with the Biden administration getting tougher,

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<v Speaker 9>I'm thinking this is a toss up. This is an

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<v Speaker 9>issue for the next four years, regardless of who comes

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<v Speaker 9>into power. And I think that on shoring not just

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<v Speaker 9>in the US but also over in other parts of

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<v Speaker 9>the world like the EU, I think that is more

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<v Speaker 9>of a longer term goal because we all kind of

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<v Speaker 9>see the error in our ways of having one geography

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<v Speaker 9>and even let's forget about that, it is in a

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<v Speaker 9>very seismically active area and they get a lot of

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<v Speaker 9>you know, disruption because of earthquakes, and it's near, you know,

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<v Speaker 9>a rising China. It's sixty eight miles from mainland China,

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<v Speaker 9>so you know there's threats there. But just the basics

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<v Speaker 9>of having one place where all of the chin that

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<v Speaker 9>are the highest technology are made is really kind of ridiculous.

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<v Speaker 9>I just as a risk remediator in my business, I

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<v Speaker 9>don't see how we got here, but here we are.

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<v Speaker 6>Okay.

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<v Speaker 4>So has that been changing the way in which you

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<v Speaker 4>think people should be investing in these names? TSMC has

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<v Speaker 4>been making the most of the Chips Act here in

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<v Speaker 4>the United States, has been trying to expand. Admittedly, there's

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<v Speaker 4>been hiccups and expansion struggles when you think of Arizona.

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<v Speaker 4>But these are companies that are looking to on shore

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<v Speaker 4>to be closer to where their client base is. How

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<v Speaker 4>much should it be knocking the capitalization. I'm looking at TSMC,

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<v Speaker 4>the depository receipts having their worst day since October twenty

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<v Speaker 4>twenty two today.

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<v Speaker 9>Kim, Sure, well, I think they're trying to move in

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<v Speaker 9>that direction, but it's slow, as you noted, and it's

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<v Speaker 9>just the nature of the beast. These are not factories

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<v Speaker 9>that can be thrown up overnight. It takes a very

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<v Speaker 9>long time for even the physical building to go in,

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<v Speaker 9>let alone the equipment, and then that ties into ASML

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<v Speaker 9>that they too are playing into this. You can only

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<v Speaker 9>make this exotic equipment as fast as you can make it,

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<v Speaker 9>and that's part of the dilemma here is how quickly

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<v Speaker 9>can people move And the answer is not very fast.

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<v Speaker 9>And I think that's why stocks are trading lower because

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<v Speaker 9>they see, if you know, the US puts up gates

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<v Speaker 9>to sell this equipment, it's really going to affect these

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<v Speaker 9>companies and the turnaround is not quick.

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<v Speaker 1>Kim.

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<v Speaker 5>On that last observation, I'm looking at the NASDAQ one hundred.

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<v Speaker 5>The biggest percentage decline is of course oral chip makers.

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<v Speaker 5>If we close down two point three percent, that's the

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<v Speaker 5>biggest drop for the NASZAK one hundred.

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<v Speaker 1>Since October of last year, things have changed quite quickly.

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<v Speaker 5>This was a market until last night was looking at

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<v Speaker 5>the election factor and was trading in a positive manner,

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<v Speaker 5>and now things have changed.

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<v Speaker 1>Why why this sudden anxiety do you think?

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<v Speaker 9>Why do you think the geopolitical focus on semiconductors at

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<v Speaker 9>the very smallest equation. We've all been told money makes

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<v Speaker 9>the world go round. Well, semiconductors makes the money go round,

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<v Speaker 9>and you know they're the under underpinning of every business.

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<v Speaker 9>Now energy is important, but semiconductors are now equally important.

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<v Speaker 9>And the more exotic the chips are for AI, which

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<v Speaker 9>everyone seems to believe that that is the thing that

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<v Speaker 9>will bring productivity and is the next big thing. It

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<v Speaker 9>is a major focus. And do we let one area

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<v Speaker 9>of the world be the only maker of it? I'd

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<v Speaker 9>say no, we cannot. And this is all all countries,

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<v Speaker 9>not just the.

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<v Speaker 6>US, kim forest, the global perspective.

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<v Speaker 4>Boca Capital Partners founder in Cio brilliant to have you

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<v Speaker 4>on the show.

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<v Speaker 6>Thank you coming up.

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<v Speaker 4>Look Elo Musk's saying that X and SpaceX are going

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<v Speaker 4>to change their headquarters.

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<v Speaker 6>I'm going to Texas. We'll have all the tells next.

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<v Speaker 6>This is Bloomberg Technology.

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<v Speaker 1>Signed for Talking Tech and First Up.

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<v Speaker 5>Global Wafers wins four hundred million dollars from the US.

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<v Speaker 5>The Taiwan silicon wafer producer was awarded funds through the

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<v Speaker 5>Chips and Science actors. The company radies for projects in

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<v Speaker 5>Texas and Missouri. Global Wafer says it plans to invest

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<v Speaker 5>a total of four billion dollars into the initiative, creating

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<v Speaker 5>twenty five hundred jobs plus. Revolute is in talks with

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<v Speaker 5>Tiger Global to lead an upcoming share sale. Revolute CEO

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<v Speaker 5>Francesca Kalisi spoke earlier on Bloomberg about its prospects.

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<v Speaker 6>These is are bought confidences.

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<v Speaker 10>Every time that new investor comes to board is a

0:12:49.880 --> 0:12:54.000
<v Speaker 10>big sign, and especially when there is also impact evaluation. Right,

0:12:54.040 --> 0:12:56.200
<v Speaker 10>So this is a good measure moment or truth for

0:12:56.280 --> 0:12:56.719
<v Speaker 10>all of us.

0:12:58.400 --> 0:13:01.439
<v Speaker 5>Tiger's involvement would be leading a secondary offering. It can

0:13:01.440 --> 0:13:04.880
<v Speaker 5>now value Revolute of more than forty billion dollars and

0:13:04.920 --> 0:13:08.360
<v Speaker 5>shares of git lab arising today the outfitt Back software

0:13:08.360 --> 0:13:11.319
<v Speaker 5>makers said to be exploring a sale after attracting interest

0:13:11.360 --> 0:13:14.520
<v Speaker 5>from potential bidders. That's according to a report from Reuters.

0:13:14.559 --> 0:13:17.960
<v Speaker 5>The San Francisco based company is working with investment bankers

0:13:18.120 --> 0:13:20.959
<v Speaker 5>and has attracted peers like data Dog Carrot.

0:13:21.800 --> 0:13:24.240
<v Speaker 4>Let's just talk about Elon Musk and what he's just

0:13:24.240 --> 0:13:26.280
<v Speaker 4>been saying on X when it comes to a couple

0:13:26.280 --> 0:13:29.800
<v Speaker 4>of his company's ed the headquarters of X and SpaceX

0:13:30.120 --> 0:13:34.559
<v Speaker 4>will both relocate to Texas with a billionaire citing frustration

0:13:34.760 --> 0:13:37.720
<v Speaker 4>over laws in California, where the companies are currently based.

0:13:38.200 --> 0:13:41.040
<v Speaker 4>Let's break all of this down, and there's Kurt Wagner's

0:13:41.040 --> 0:13:44.000
<v Speaker 4>with us, Max Chafkin. Kurt, I start with you as

0:13:44.000 --> 0:13:46.960
<v Speaker 4>someone who's the lean byline on this story. The frustration

0:13:47.120 --> 0:13:49.880
<v Speaker 4>being a new law recently passing California to do with

0:13:49.960 --> 0:13:54.840
<v Speaker 4>transgender children in public schools politics affecting Elon Musk's view

0:13:55.040 --> 0:13:56.360
<v Speaker 4>on where to base his companies.

0:13:56.360 --> 0:13:59.679
<v Speaker 11>It seems, yeah, absolutely, and I think this is, you know,

0:13:59.760 --> 0:14:02.880
<v Speaker 11>a regression that we've seen for the last couple of years,

0:14:02.880 --> 0:14:05.240
<v Speaker 11>but especially just the last couple of weeks, right, I

0:14:05.320 --> 0:14:07.760
<v Speaker 11>mean he has now come out publicly in support of

0:14:07.880 --> 0:14:10.720
<v Speaker 11>former President Donald Trump and the upcoming election he's donating

0:14:10.800 --> 0:14:14.439
<v Speaker 11>to his campaign. We've seen Elon Musk complain about the

0:14:14.520 --> 0:14:18.480
<v Speaker 11>laws in California, the Liberals in California for years, and so,

0:14:18.920 --> 0:14:21.280
<v Speaker 11>you know, while it feels like a bit of a

0:14:21.400 --> 0:14:23.880
<v Speaker 11>reactive decision right to see this new law and suddenly

0:14:23.920 --> 0:14:25.600
<v Speaker 11>say we're going to move these companies out of the state,

0:14:25.640 --> 0:14:27.200
<v Speaker 11>I think this has been a long time coming. In

0:14:27.240 --> 0:14:30.560
<v Speaker 11>anyone who's followed Elon closely could see that this was

0:14:30.600 --> 0:14:31.480
<v Speaker 11>building and building.

0:14:32.200 --> 0:14:33.920
<v Speaker 5>Max, I think it's really important that the four of

0:14:34.000 --> 0:14:36.720
<v Speaker 5>us talk about the technology and company impact this is

0:14:36.720 --> 0:14:39.840
<v Speaker 5>going to have. SpaceX is critically important as a leader

0:14:39.840 --> 0:14:43.280
<v Speaker 5>in commercial space. But you've been focused on Elon's politics

0:14:43.280 --> 0:14:45.480
<v Speaker 5>as well. In the Elon in pod, I mean, you

0:14:45.480 --> 0:14:49.120
<v Speaker 5>will have seen the back and forth between Governor Newsome,

0:14:49.800 --> 0:14:53.000
<v Speaker 5>who shared an image of a Trump true social post,

0:14:54.000 --> 0:14:55.920
<v Speaker 5>the timing of which we can debate it must have

0:14:55.920 --> 0:14:59.720
<v Speaker 5>been the photo taken during Trump's former period in the

0:14:59.760 --> 0:15:00.280
<v Speaker 5>White House.

0:15:00.320 --> 0:15:01.520
<v Speaker 1>But the point being.

0:15:01.400 --> 0:15:06.120
<v Speaker 5>That that Musk here has changed his politics and it

0:15:06.160 --> 0:15:09.600
<v Speaker 5>has impact to his companies, has impact at a macro level.

0:15:10.680 --> 0:15:11.440
<v Speaker 1>Yeah, I mean, you know.

0:15:11.480 --> 0:15:16.000
<v Speaker 2>Elon Musk identifying himself as a you know, supporter of

0:15:16.480 --> 0:15:19.760
<v Speaker 2>the former president and also likely a major donor, maybe

0:15:19.800 --> 0:15:22.480
<v Speaker 2>the biggest donor. You know, he's he's definitely in the

0:15:22.520 --> 0:15:24.840
<v Speaker 2>middle of this debate, and we're seeing you know, Gavin

0:15:24.920 --> 0:15:29.160
<v Speaker 2>Newsom effectively as a surrogate for for for the Biden administration,

0:15:30.120 --> 0:15:32.920
<v Speaker 2>you know, doing what you would expect from a surrogate,

0:15:32.960 --> 0:15:36.040
<v Speaker 2>which is to sort of point out the obvious, uh,

0:15:36.120 --> 0:15:38.960
<v Speaker 2>the obvious apparent hypocrisy of being at one point opposed

0:15:39.000 --> 0:15:43.080
<v Speaker 2>to president former president and now being an enthusiastic supporter.

0:15:43.320 --> 0:15:45.360
<v Speaker 1>And as Kurt said, long time coming.

0:15:45.680 --> 0:15:48.880
<v Speaker 2>You know, Elon Musk himself already lives in Texas, so

0:15:48.960 --> 0:15:51.280
<v Speaker 2>it's not hugely surprising.

0:15:50.800 --> 0:15:51.440
<v Speaker 1>That he's doing this.

0:15:51.560 --> 0:15:54.400
<v Speaker 2>It does have the feel of a political stunt more

0:15:54.440 --> 0:15:54.960
<v Speaker 2>than anything.

0:15:55.800 --> 0:15:59.360
<v Speaker 5>Not hugely surprising, but important for California and its technology industry.

0:15:59.400 --> 0:16:01.880
<v Speaker 5>Right there with me on SpaceX, they have around thirteen

0:16:01.920 --> 0:16:05.000
<v Speaker 5>thousand employees, many of them are in Hawthorne. Falcon nine

0:16:05.040 --> 0:16:07.280
<v Speaker 5>is built in Hawthorne. They stick it on truck and

0:16:07.320 --> 0:16:09.080
<v Speaker 5>trailer and ship it to Florida.

0:16:09.400 --> 0:16:10.320
<v Speaker 1>And then there's X.

0:16:10.680 --> 0:16:13.160
<v Speaker 5>I think that that company was creeping out of the

0:16:13.160 --> 0:16:15.880
<v Speaker 5>building on Market Street. Anyway, Yeah, but we're talking about

0:16:15.880 --> 0:16:17.920
<v Speaker 5>the footprint of two companies leaving the state.

0:16:18.240 --> 0:16:20.320
<v Speaker 11>Yeah, I mean, I don't think there's any way to

0:16:20.560 --> 0:16:23.479
<v Speaker 11>sugarcoat this in terms of what it looks like for California.

0:16:23.560 --> 0:16:24.840
<v Speaker 12>Right, It certainly looks bad.

0:16:24.920 --> 0:16:27.240
<v Speaker 11>It looks like you're taking the best, the brightest, the

0:16:27.280 --> 0:16:32.120
<v Speaker 11>smartest technologists in the industry and moving them somewhere else.

0:16:32.160 --> 0:16:35.480
<v Speaker 11>And so there is definitely an optical issue here. Now,

0:16:35.840 --> 0:16:38.840
<v Speaker 11>the logistics of this are very important because while Elon

0:16:38.920 --> 0:16:41.960
<v Speaker 11>has also moved Tesla to Texas several years ago, there's

0:16:42.000 --> 0:16:45.080
<v Speaker 11>still a huge office here in Palo Alto, as you know,

0:16:45.600 --> 0:16:48.000
<v Speaker 11>for Tesla, And so the question is, are these employees

0:16:48.040 --> 0:16:50.880
<v Speaker 11>actually going to be leaving California, Are the jobs literally

0:16:50.960 --> 0:16:53.760
<v Speaker 11>leaving California or is this more of a logistics thing

0:16:53.960 --> 0:16:56.520
<v Speaker 11>of rebranding the company there now?

0:16:56.560 --> 0:17:00.560
<v Speaker 4>Max, Ultimately, this is quite a personal issue feel or

0:17:00.640 --> 0:17:03.760
<v Speaker 4>musk this current new law coming in in California. One

0:17:03.800 --> 0:17:05.960
<v Speaker 4>of his eldest children, as the Sighter than the Story,

0:17:06.119 --> 0:17:07.960
<v Speaker 4>went to court the day after they turned eighteen and

0:17:08.000 --> 0:17:11.480
<v Speaker 4>twenty twenty two and changed their name, citing gender identity

0:17:11.480 --> 0:17:13.760
<v Speaker 4>and the fact that they no longer live or wish

0:17:13.800 --> 0:17:16.680
<v Speaker 4>to be related to my biological father in any way,

0:17:16.720 --> 0:17:20.000
<v Speaker 4>shape or form. This is personal, but it also makes

0:17:20.240 --> 0:17:24.159
<v Speaker 4>the consumer feel personally about some of the moves that

0:17:24.160 --> 0:17:27.440
<v Speaker 4>Elon Musk is taking. And ultimately, from your Elon Inc.

0:17:27.640 --> 0:17:31.200
<v Speaker 4>Podcasting viewpoint, how much is going to impact the businesses

0:17:31.400 --> 0:17:33.200
<v Speaker 4>that Elon's getting ever more political here?

0:17:34.840 --> 0:17:37.679
<v Speaker 2>Well, I don't think this particular move is going to

0:17:37.720 --> 0:17:40.800
<v Speaker 2>have a huge impact either on the way consumers feel

0:17:40.800 --> 0:17:43.960
<v Speaker 2>about you know, Elon Musk, or about you know, even

0:17:44.000 --> 0:17:46.400
<v Speaker 2>the way that his employees feel. I mean, as Kurt says,

0:17:46.200 --> 0:17:48.080
<v Speaker 2>it's not clear many are even going.

0:17:48.040 --> 0:17:51.840
<v Speaker 1>To have to move. It is the latest sign.

0:17:51.800 --> 0:17:54.680
<v Speaker 2>In a series of signs of Elon Musk becoming this,

0:17:55.040 --> 0:17:59.400
<v Speaker 2>you know, very polarizing figure, and that is a challenge

0:18:00.080 --> 0:18:04.000
<v Speaker 2>for especially for Tesla Right, which has this enormous base

0:18:04.080 --> 0:18:06.760
<v Speaker 2>of customers, many of whom live in suburbs, many of

0:18:06.760 --> 0:18:11.000
<v Speaker 2>whom are not hardcore Donald Trump supporters. So so he

0:18:11.080 --> 0:18:12.840
<v Speaker 2>has but he's sort of made his bet on this

0:18:13.000 --> 0:18:14.960
<v Speaker 2>over the last few years. So in a way, I

0:18:14.960 --> 0:18:17.000
<v Speaker 2>don't think it's going to have a huge impact. It's

0:18:17.040 --> 0:18:20.600
<v Speaker 2>more just a symptom of this ongoing, you know, the

0:18:20.680 --> 0:18:23.160
<v Speaker 2>ongoing politics of being Elon Musk.

0:18:24.400 --> 0:18:27.800
<v Speaker 5>Poomber, Kurt Wagner here in SF Max Chafkin, thank you both.

0:18:35.960 --> 0:18:39.080
<v Speaker 4>Today it's our AI in Action segment and we're joined

0:18:39.080 --> 0:18:42.280
<v Speaker 4>by tech Wolf. It's a company focusing on utilizing artificial

0:18:42.280 --> 0:18:45.399
<v Speaker 4>intelligence in the world of recruiting, actually in retention as

0:18:45.440 --> 0:18:48.440
<v Speaker 4>a tool to manage talent. The company also recently closing

0:18:48.480 --> 0:18:50.919
<v Speaker 4>a forty two million dollar Series B. We want to

0:18:50.920 --> 0:18:54.040
<v Speaker 4>bring in Michael Warner, who's Techwolf co founder and COO.

0:18:54.160 --> 0:18:59.080
<v Speaker 4>Michael Howe is the more targeted large language models that

0:18:59.119 --> 0:19:02.320
<v Speaker 4>you're developing, helping companies identify the talent they already have.

0:19:03.920 --> 0:19:08.679
<v Speaker 13>Yeah, so we use artificial intelligence to help employees flourish

0:19:08.680 --> 0:19:12.080
<v Speaker 13>that work, but also employers to help employers make better,

0:19:12.200 --> 0:19:16.000
<v Speaker 13>smarter workforce decisions, who to train, who to hire, who

0:19:16.040 --> 0:19:18.520
<v Speaker 13>to develop. So instead of saying we need to hire

0:19:18.560 --> 0:19:21.159
<v Speaker 13>a thousand AI engineers, our AI can come in and

0:19:21.200 --> 0:19:23.560
<v Speaker 13>say no, actually you only need to hire five hundreds,

0:19:23.560 --> 0:19:26.679
<v Speaker 13>and the other five hundred can be redeployed, reskill trained

0:19:27.000 --> 0:19:30.000
<v Speaker 13>inside the company And essentially that can save the business

0:19:30.200 --> 0:19:33.800
<v Speaker 13>millions in direct requiitment costs, millions in sovereigns fees and

0:19:33.840 --> 0:19:36.560
<v Speaker 13>millions in anutrition, and so today we have about two

0:19:36.600 --> 0:19:40.399
<v Speaker 13>million skill profiles for employees. We work together with the

0:19:40.400 --> 0:19:44.040
<v Speaker 13>most innovative HR leaders on the planet. I'd say HIBC,

0:19:44.240 --> 0:19:48.560
<v Speaker 13>GFADP ericson United Airlines, MetLife. We're really making all the

0:19:48.600 --> 0:19:51.920
<v Speaker 13>difference here with AI Michael.

0:19:51.920 --> 0:19:53.840
<v Speaker 1>Where in the hiring process does this come in? Right?

0:19:53.880 --> 0:19:56.840
<v Speaker 5>There's already sort of algorithmic filtering of cvs and then

0:19:56.840 --> 0:20:00.240
<v Speaker 5>you basically in the first line have HR people going

0:20:00.280 --> 0:20:02.960
<v Speaker 5>through piles before the hiring manager gets it.

0:20:03.320 --> 0:20:04.119
<v Speaker 1>Where do you come in?

0:20:05.800 --> 0:20:08.760
<v Speaker 13>Yeah, and it's good to take a step back. Skill

0:20:08.800 --> 0:20:11.960
<v Speaker 13>management has been around since the eighties. Trying to understand

0:20:11.960 --> 0:20:14.879
<v Speaker 13>the skills of people inside the company has been around

0:20:14.920 --> 0:20:17.720
<v Speaker 13>for quite a long time. So we come in big company,

0:20:17.760 --> 0:20:20.040
<v Speaker 13>fifty thousand, one hundred thousand employees, and the first thing

0:20:20.080 --> 0:20:23.959
<v Speaker 13>we do is essentially create data, skilled data for everybody.

0:20:24.400 --> 0:20:26.440
<v Speaker 13>And that's the first we're the first company that can

0:20:26.520 --> 0:20:28.760
<v Speaker 13>reliably do this, and then the second step is actually

0:20:28.840 --> 0:20:32.640
<v Speaker 13>using that data to make better decisions. So better data,

0:20:32.680 --> 0:20:35.119
<v Speaker 13>we can typically see that there's a twenty five percent

0:20:35.200 --> 0:20:38.399
<v Speaker 13>skills mismatch. The twenty five percent of employees have not

0:20:38.480 --> 0:20:41.480
<v Speaker 13>the skills to perform in a job. We can demonstrate

0:20:41.520 --> 0:20:43.560
<v Speaker 13>that seventy five percent of vacancies can be filled with

0:20:43.600 --> 0:20:46.200
<v Speaker 13>internal tables. So it's a completely new way of looking

0:20:46.240 --> 0:20:49.960
<v Speaker 13>at the workforce. More than specifically focusing on improvement, it's

0:20:49.960 --> 0:20:51.040
<v Speaker 13>a data platform for HR.

0:20:51.560 --> 0:20:55.200
<v Speaker 4>Michael's interesting as you say, yeah, what's talent identification goes

0:20:55.240 --> 0:20:57.760
<v Speaker 4>back to the eighties. There are some big HR players

0:20:57.760 --> 0:20:59.879
<v Speaker 4>out there, and funnily enough, some of them are actually

0:21:00.119 --> 0:21:03.200
<v Speaker 4>can you you've got some strategic investment Felix Capital leading

0:21:03.200 --> 0:21:06.520
<v Speaker 4>a series BB it's SAP Service now Workday what's your outlook?

0:21:06.640 --> 0:21:07.760
<v Speaker 6>Do you remain independent?

0:21:09.680 --> 0:21:12.840
<v Speaker 13>Of course, and when we talked about the round composition,

0:21:13.480 --> 0:21:15.560
<v Speaker 13>we took a step back and we asked herself the

0:21:15.640 --> 0:21:19.040
<v Speaker 13>question what is needed to build a European generational AAI company.

0:21:19.080 --> 0:21:21.600
<v Speaker 13>And then from like capability lands like three big investor

0:21:21.640 --> 0:21:24.439
<v Speaker 13>groups came up, the HR and HR tech investor that

0:21:24.480 --> 0:21:27.440
<v Speaker 13>we just mentioned. It's the first time work Day SAPs

0:21:27.480 --> 0:21:31.760
<v Speaker 13>Service Now are investing together. But also Felix like potentially

0:21:32.000 --> 0:21:34.480
<v Speaker 13>giving us the opportunity to learn from people who have

0:21:34.560 --> 0:21:38.560
<v Speaker 13>skilled really big businesses before, and then Leslie AI and

0:21:38.920 --> 0:21:42.120
<v Speaker 13>essentially ensuring that we have the best and brightest AI

0:21:42.200 --> 0:21:44.159
<v Speaker 13>brains on our on our cap label. So we have

0:21:44.200 --> 0:21:46.960
<v Speaker 13>people from deep Mind adjoining the AI leader from Hugging

0:21:46.960 --> 0:21:48.840
<v Speaker 13>Clase and Meta to ensure that we can keep our

0:21:48.880 --> 0:21:50.240
<v Speaker 13>AI leads in this space.

0:21:51.280 --> 0:21:53.720
<v Speaker 5>Michael Wano, Tech, co founder of tech Wolf, thank you

0:21:53.760 --> 0:21:54.679
<v Speaker 5>so much for your time.

0:22:02.359 --> 0:22:04.040
<v Speaker 1>On startups and technology.

0:22:04.720 --> 0:22:07.480
<v Speaker 6>We are certainly among the best experts in the world.

0:22:09.080 --> 0:22:09.760
<v Speaker 4>We think.

0:22:11.720 --> 0:22:14.119
<v Speaker 7>Donald Trump is a better choice sen Joe Biogen on

0:22:14.200 --> 0:22:14.880
<v Speaker 7>these issues.

0:22:17.600 --> 0:22:19.840
<v Speaker 5>That was Ben Horowitz, co founder of the VC firm

0:22:19.880 --> 0:22:23.520
<v Speaker 5>Andreessen Horowitz, explaining why he and co founder Mark in

0:22:23.560 --> 0:22:27.080
<v Speaker 5>Breeson are now backing Donald Trump. The famous VC duo

0:22:27.200 --> 0:22:30.600
<v Speaker 5>is planning to donate a significant amount to his campaign,

0:22:30.680 --> 0:22:33.800
<v Speaker 5>according to a Bloomberg source, though the donations will be

0:22:34.000 --> 0:22:38.760
<v Speaker 5>personal contributions from the two men, not from the firm itself.

0:22:38.760 --> 0:22:41.400
<v Speaker 5>I want to bring in Bloomberg's Zett, Chapman and Lazette.

0:22:41.400 --> 0:22:44.280
<v Speaker 5>You've written brilliantly in the last twenty four to forty

0:22:44.280 --> 0:22:48.960
<v Speaker 5>eight hours about essentially Silicon Valley's reaction to the events

0:22:48.960 --> 0:22:53.600
<v Speaker 5>of the past week, the RNC and JD vance being

0:22:53.640 --> 0:22:57.200
<v Speaker 5>Trump's VP pick. Just summarize the reporting for us, please.

0:22:58.160 --> 0:23:01.480
<v Speaker 14>Right, So, there has been a huge pouring of support

0:23:01.720 --> 0:23:08.040
<v Speaker 14>for Trump and his VP nominee. Vance not only has

0:23:08.320 --> 0:23:12.960
<v Speaker 14>Elon Musk and Mark Andresen and then Horowitz as well

0:23:13.000 --> 0:23:18.440
<v Speaker 14>as David Sachs, Doug Leoni, and Sean maguire from Sequoia Capital.

0:23:18.520 --> 0:23:22.760
<v Speaker 14>All of these tech and venture capital big name, very

0:23:22.800 --> 0:23:25.199
<v Speaker 14>prominent people here in Silicon Valley have all lined up

0:23:25.240 --> 0:23:31.119
<v Speaker 14>to support Trump in recent weeks, with gaining momentum as

0:23:31.240 --> 0:23:34.560
<v Speaker 14>more and more seem to like what he has to

0:23:34.560 --> 0:23:38.520
<v Speaker 14>say about tech policy. Uh Specifically, they.

0:23:38.440 --> 0:23:41.880
<v Speaker 4>Realize in some ways this might be controversial for those

0:23:41.920 --> 0:23:44.520
<v Speaker 4>that are in their family. That's certainly what Ben Howtz

0:23:44.560 --> 0:23:47.199
<v Speaker 4>spoke to that people with then their company Lizette, to

0:23:47.240 --> 0:23:50.720
<v Speaker 4>take such an openly political stance. But what is in

0:23:50.840 --> 0:23:53.720
<v Speaker 4>it for small tech as they call it, because from

0:23:53.720 --> 0:23:56.880
<v Speaker 4>what we understand, well, the VP pick doesn't like big

0:23:56.920 --> 0:23:57.680
<v Speaker 4>tech munch.

0:23:58.680 --> 0:24:02.840
<v Speaker 14>Right, That's right, so on small tech, which is what

0:24:03.320 --> 0:24:06.200
<v Speaker 14>Mark Andrewsen and Ben Horowitz they call it their little

0:24:06.240 --> 0:24:10.160
<v Speaker 14>Tech agenda specifically for startups. There's a couple of areas

0:24:10.160 --> 0:24:14.760
<v Speaker 14>that they're really hoping to bend the ears of Trump

0:24:14.800 --> 0:24:21.280
<v Speaker 14>and Vance on, including potentially opening open sourcing AI, loosening

0:24:21.440 --> 0:24:28.240
<v Speaker 14>crypto regulation, and possibly taking another look at the FTC

0:24:28.320 --> 0:24:32.600
<v Speaker 14>and the anti trust regulations that we've seen come down,

0:24:33.119 --> 0:24:36.560
<v Speaker 14>and one of the reasons for that is because although

0:24:36.640 --> 0:24:41.320
<v Speaker 14>it does target big tech companies by preventing them from

0:24:41.320 --> 0:24:44.440
<v Speaker 14>acquiring smaller startups, it closes down that path as an

0:24:44.440 --> 0:24:47.200
<v Speaker 14>exit for them and they can only i PO, which

0:24:47.400 --> 0:24:49.879
<v Speaker 14>hasn't been a very strong It hasn't been a strong

0:24:50.240 --> 0:24:51.040
<v Speaker 14>in recent years.

0:24:52.200 --> 0:24:52.600
<v Speaker 1>Lazette.

0:24:52.640 --> 0:24:54.600
<v Speaker 5>We made the point on the show, and we can

0:24:54.640 --> 0:24:58.479
<v Speaker 5>illustrate it again with a visual representation of who's come

0:24:58.520 --> 0:25:00.679
<v Speaker 5>out and spoil of Trump. But he it is many

0:25:00.840 --> 0:25:04.520
<v Speaker 5>or some of Silicon Valley. It's not all of Silicon Valley.

0:25:04.760 --> 0:25:08.000
<v Speaker 5>So what have you learned about any remaining support in

0:25:08.000 --> 0:25:11.800
<v Speaker 5>that industry for the Democratic Party or even those that

0:25:11.840 --> 0:25:13.640
<v Speaker 5>have changed position along the way.

0:25:14.680 --> 0:25:17.920
<v Speaker 14>That's an excellent point ed, And again, the reason why

0:25:17.920 --> 0:25:22.560
<v Speaker 14>this is so significant on some ways is because it's

0:25:22.600 --> 0:25:25.200
<v Speaker 14>been a major departure for many people that have longtime

0:25:25.280 --> 0:25:28.120
<v Speaker 14>voted Democrat. But to your point, it's certainly not all

0:25:28.119 --> 0:25:30.720
<v Speaker 14>of Silicon Valley. These are some very prominent names that

0:25:30.760 --> 0:25:34.120
<v Speaker 14>are supporting him, but there's still a large contingent of

0:25:34.840 --> 0:25:41.879
<v Speaker 14>Democratic voters backing Biden. Certainly, you know is Steve Bomber,

0:25:42.320 --> 0:25:46.399
<v Speaker 14>Maurissa Meyer, quite a few others have traditionally supported Democrats,

0:25:46.400 --> 0:25:49.200
<v Speaker 14>and so you know, the conversation is still very mixed.

0:25:49.240 --> 0:25:51.320
<v Speaker 14>It's certainly not all tech, and it's certainly not all

0:25:51.359 --> 0:25:53.560
<v Speaker 14>of Silicon Valley well.

0:25:53.440 --> 0:25:57.280
<v Speaker 4>Bardy, Lizette, Is this likely to get louder as we

0:25:57.359 --> 0:26:00.199
<v Speaker 4>go towards November? Is it just that this is a

0:26:00.280 --> 0:26:02.879
<v Speaker 4>moment in time where people lay their cards out and

0:26:03.480 --> 0:26:05.720
<v Speaker 4>get on board the rest of those that they work with,

0:26:05.800 --> 0:26:09.639
<v Speaker 4>and indeed the portfolio companies understanding their stand I.

0:26:09.640 --> 0:26:15.159
<v Speaker 14>Think it will get increasingly louder, more raucous, and potentially

0:26:15.200 --> 0:26:17.959
<v Speaker 14>more divisive if you look at some of the beef's

0:26:17.960 --> 0:26:22.560
<v Speaker 14>happening right now playing out on the X platform, because

0:26:22.720 --> 0:26:26.359
<v Speaker 14>campaigns and gain steam as we get closer to the

0:26:26.400 --> 0:26:31.120
<v Speaker 14>election date. So I don't anticipate this ratcheting down anytime soon.

0:26:31.359 --> 0:26:34.320
<v Speaker 14>Doesn't mean it won't stay civil. We can, but we

0:26:34.880 --> 0:26:37.440
<v Speaker 14>will look ahead to see how things will progress.

0:26:37.840 --> 0:26:40.920
<v Speaker 4>He is hoping on that civility, Lazette, Chapman, brilliant to

0:26:40.920 --> 0:26:43.000
<v Speaker 4>have you on, Thank you very much. Indeed, we were

0:26:43.040 --> 0:26:45.240
<v Speaker 4>just talking about some of the beef going on on

0:26:45.280 --> 0:26:48.320
<v Speaker 4>social media. But let's just talk about how artificial intelligence

0:26:48.359 --> 0:26:51.040
<v Speaker 4>becomes ever more advanced, there's this greater risk of the

0:26:51.080 --> 0:26:53.760
<v Speaker 4>moment for the technology to be used maliciously, particularly on

0:26:53.800 --> 0:26:57.080
<v Speaker 4>social media. The rise in deep fakes, manipulated media. It's

0:26:57.160 --> 0:27:01.240
<v Speaker 4>proven particularly harmful during this election cycle. Nowlifornia based startup

0:27:01.320 --> 0:27:04.919
<v Speaker 4>get Real Labs build tools to analyze in combat media manipulation.

0:27:05.240 --> 0:27:07.119
<v Speaker 4>I want to talk about how important the role is

0:27:07.200 --> 0:27:10.760
<v Speaker 4>right now and Hanney farred for more and you've basically

0:27:10.800 --> 0:27:15.360
<v Speaker 4>been building this business alongside academia to try and target

0:27:15.400 --> 0:27:18.440
<v Speaker 4>what could be a real election risk, but just ongoing risk.

0:27:18.920 --> 0:27:20.360
<v Speaker 6>Honey, how much do you think that this is.

0:27:20.320 --> 0:27:24.760
<v Speaker 4>Currently something we need to be understanding and worrying about

0:27:24.840 --> 0:27:25.679
<v Speaker 4>in the current context.

0:27:25.760 --> 0:27:25.960
<v Speaker 13>Yeah.

0:27:26.720 --> 0:27:29.240
<v Speaker 15>Yeah, it's hard to look at the last few years

0:27:29.320 --> 0:27:31.639
<v Speaker 15>and generative AI and deep faces and think this is

0:27:31.680 --> 0:27:34.399
<v Speaker 15>not a risk to us as individuals in terms of fraud,

0:27:34.880 --> 0:27:39.280
<v Speaker 15>to institutions in terms of fraud, and in terms of democracies.

0:27:39.320 --> 0:27:42.160
<v Speaker 15>In terms of disan misinformation, we are seeing it here

0:27:42.200 --> 0:27:44.359
<v Speaker 15>in the US, We have seen it Europe, we are

0:27:44.359 --> 0:27:46.679
<v Speaker 15>seeing in India, we are seeing it around the world

0:27:47.080 --> 0:27:50.439
<v Speaker 15>that disin misinformation is being powered now by the latest

0:27:50.480 --> 0:27:52.560
<v Speaker 15>trends in deep fates, and what we are trying to

0:27:52.600 --> 0:27:55.600
<v Speaker 15>do is think really hard about how we can detect

0:27:55.920 --> 0:27:57.840
<v Speaker 15>and stop that type of thread vector.

0:27:58.359 --> 0:28:00.160
<v Speaker 1>Professor fride As already.

0:28:00.040 --> 0:28:02.760
<v Speaker 5>Lets know about your role at the University of California, Berkeley,

0:28:02.800 --> 0:28:05.679
<v Speaker 5>the work you're doing there. But for me, it's a

0:28:05.720 --> 0:28:08.560
<v Speaker 5>technology story in the sense that you have a new

0:28:08.600 --> 0:28:10.440
<v Speaker 5>tool to combat an issue.

0:28:10.640 --> 0:28:12.280
<v Speaker 1>And at the same time, the.

0:28:12.200 --> 0:28:17.000
<v Speaker 5>Proliferation of applications, generative AI applications that create that content

0:28:17.280 --> 0:28:19.439
<v Speaker 5>is also on the right. Do you actually just have

0:28:19.480 --> 0:28:21.840
<v Speaker 5>a phone up some of those companies and say let's

0:28:21.840 --> 0:28:22.399
<v Speaker 5>work together.

0:28:22.600 --> 0:28:23.439
<v Speaker 1>Yes, in fact we do.

0:28:23.520 --> 0:28:25.840
<v Speaker 15>In fact, you can't work in cybersecurity if you're not

0:28:25.880 --> 0:28:27.639
<v Speaker 15>talking to the other side of the aisle. Right, you

0:28:27.680 --> 0:28:29.840
<v Speaker 15>can't do defense if you don't understand O offense. And

0:28:29.880 --> 0:28:32.560
<v Speaker 15>the good news is I think that the open eyes

0:28:32.600 --> 0:28:35.640
<v Speaker 15>and the mid journeys and the stabilities are not bad actors.

0:28:36.240 --> 0:28:38.760
<v Speaker 15>I think they're generating technology that has good uses and

0:28:38.800 --> 0:28:41.480
<v Speaker 15>bad uses. So I think they're generally incentivized to work

0:28:41.480 --> 0:28:44.360
<v Speaker 15>with us to create defenses. We take all the advantage

0:28:44.400 --> 0:28:46.240
<v Speaker 15>of the technology and we mitigate some of the risks,

0:28:46.240 --> 0:28:47.160
<v Speaker 15>and we have to do that together.

0:28:47.480 --> 0:28:50.160
<v Speaker 5>If we just took the presidential election as a case study.

0:28:50.520 --> 0:28:52.959
<v Speaker 5>How would your platform and technology work if there are

0:28:53.000 --> 0:28:55.200
<v Speaker 5>a video a deep fake circulating good.

0:28:55.480 --> 0:28:57.440
<v Speaker 15>So what we want to be able to do is

0:28:57.640 --> 0:29:00.880
<v Speaker 15>any time an image, an audio, or video breaks. And

0:29:00.920 --> 0:29:03.760
<v Speaker 15>you saw that in fact mediating, which is interesting exactly,

0:29:04.080 --> 0:29:06.040
<v Speaker 15>and you saw it this weekend at the shooting, there

0:29:06.120 --> 0:29:09.480
<v Speaker 15>was immediately fake images and fake videos coming out, mudding

0:29:09.560 --> 0:29:12.320
<v Speaker 15>the landscape. So we work with reporters, we work with

0:29:12.360 --> 0:29:15.040
<v Speaker 15>fact checkers, we work with organizations, we work with campaigns.

0:29:15.360 --> 0:29:17.680
<v Speaker 15>As soon as something comes out, you send it to us.

0:29:17.880 --> 0:29:20.360
<v Speaker 15>We run through a battery of tests and we try

0:29:20.400 --> 0:29:22.200
<v Speaker 15>to find as much information as we can so that

0:29:22.240 --> 0:29:24.000
<v Speaker 15>you can make decisions downstream.

0:29:24.880 --> 0:29:27.680
<v Speaker 4>Talk about that decision that a consumer has right now.

0:29:27.840 --> 0:29:30.760
<v Speaker 4>Have we all become some numb that well, we wonder

0:29:30.800 --> 0:29:31.800
<v Speaker 4>whether or anything is real?

0:29:31.880 --> 0:29:32.080
<v Speaker 13>Now?

0:29:32.880 --> 0:29:34.000
<v Speaker 1>Sure, that's always the fear.

0:29:34.040 --> 0:29:35.440
<v Speaker 15>So what I like to tell people is what we

0:29:35.520 --> 0:29:38.600
<v Speaker 15>do I get real is necessary, but not necessarily sufficient.

0:29:39.000 --> 0:29:40.320
<v Speaker 15>So the first thing we have to be able to

0:29:40.360 --> 0:29:42.720
<v Speaker 15>do is tell you what is real and what is fake.

0:29:42.880 --> 0:29:45.040
<v Speaker 15>There is another battle now that we have to get

0:29:45.040 --> 0:29:48.040
<v Speaker 15>out of our echo chambers. We have to stop hating

0:29:48.080 --> 0:29:50.239
<v Speaker 15>the other side of the aisle so much because if

0:29:50.280 --> 0:29:52.720
<v Speaker 15>we can't hear facts, I don't know how we move

0:29:52.800 --> 0:29:55.080
<v Speaker 15>forward as a democracy and as a society.

0:29:55.640 --> 0:29:57.239
<v Speaker 4>I just want to know a bit more about get

0:29:57.320 --> 0:30:01.000
<v Speaker 4>Real Labs and how you came to be inc over

0:30:01.080 --> 0:30:03.160
<v Speaker 4>the past couple of years with Ballistic Ventures, and you

0:30:03.240 --> 0:30:07.240
<v Speaker 4>see Berkeley under yourself really incubating this business.

0:30:07.280 --> 0:30:09.120
<v Speaker 6>What does it look like now? How many people who

0:30:09.160 --> 0:30:09.800
<v Speaker 6>you are tracting?

0:30:10.600 --> 0:30:11.640
<v Speaker 1>Great, it's a great question.

0:30:11.720 --> 0:30:13.680
<v Speaker 15>So first of all, I started working in this field

0:30:13.680 --> 0:30:15.440
<v Speaker 15>twenty five years ago, so this is for me as

0:30:15.480 --> 0:30:19.120
<v Speaker 15>a long academic journey. And about two years ago I

0:30:19.200 --> 0:30:21.520
<v Speaker 15>partnered with the folks at Ballistic Ventures is Ted Schlin

0:30:21.600 --> 0:30:24.760
<v Speaker 15>and Rogers Thornton. They incubated us. Our head count is

0:30:24.880 --> 0:30:28.320
<v Speaker 15>thirty right now and we will quickly be forty to

0:30:28.360 --> 0:30:30.680
<v Speaker 15>fifty by the end of the year. We have a product,

0:30:30.720 --> 0:30:33.000
<v Speaker 15>we are starting to work with customers, and we very

0:30:33.080 --> 0:30:36.720
<v Speaker 15>much expect to have technology out before the election. Per

0:30:36.960 --> 0:30:38.160
<v Speaker 15>the point you were just making.

0:30:37.960 --> 0:30:42.160
<v Speaker 5>At Professor Haney Furry, co founder get Real Labs, really

0:30:42.160 --> 0:30:43.760
<v Speaker 5>interesting and timely conversation.

0:30:43.840 --> 0:30:44.960
<v Speaker 1>Thank you, Caroline.

0:30:45.120 --> 0:30:47.240
<v Speaker 4>We're just going to get back to the broader markets

0:30:47.320 --> 0:30:49.640
<v Speaker 4>right now because they're under pressure.

0:30:49.880 --> 0:30:50.680
<v Speaker 6>We're being hit hard.

0:30:50.760 --> 0:30:52.880
<v Speaker 4>Now's that two point three percent lower worst dates in

0:30:52.920 --> 0:30:54.760
<v Speaker 4>so October, and no, I'll put it into context. We're

0:30:54.760 --> 0:30:58.280
<v Speaker 4>only trading the lowst since July the first, but now

0:30:58.280 --> 0:31:00.280
<v Speaker 4>more than two percent dip is a big and we

0:31:00.280 --> 0:31:02.320
<v Speaker 4>haven't seen it for a long time. We're being dragged

0:31:02.320 --> 0:31:03.960
<v Speaker 4>down by the chip makers, off by four percent on

0:31:04.000 --> 0:31:06.920
<v Speaker 4>the socks on the Chip index. More broadly, why this

0:31:07.080 --> 0:31:10.480
<v Speaker 4>concern that we'll see yet ramped up Biden focus on

0:31:11.000 --> 0:31:15.360
<v Speaker 4>China accessing chip manufacturing, but also that manufacturing equipment coming

0:31:15.360 --> 0:31:18.400
<v Speaker 4>from Europe, from over in Asia as well. In video

0:31:18.440 --> 0:31:21.000
<v Speaker 4>off by more than five percent for a nearly three

0:31:21.080 --> 0:31:23.680
<v Speaker 4>trillion dollar company. That's a big move. ASML off by

0:31:23.960 --> 0:31:26.800
<v Speaker 4>an eleven percent move even though they had strong earnings.

0:31:26.920 --> 0:31:29.880
<v Speaker 4>They are really exposed to China. Intel, though it's up

0:31:29.880 --> 0:31:32.960
<v Speaker 4>one weet eight percent. An incredibly important BusinessWeek story coming

0:31:33.080 --> 0:31:37.160
<v Speaker 4>an interview with former President Trump saying, look, Taiwan, should

0:31:37.240 --> 0:31:40.360
<v Speaker 4>we be protecting it. We're worried about Taiwan ultimately helping Intel.

0:31:41.040 --> 0:31:42.200
<v Speaker 4>We've got a lot coming up head.

0:31:42.960 --> 0:31:45.080
<v Speaker 5>Yeah, and to your point made earlier, many of these

0:31:45.120 --> 0:31:48.040
<v Speaker 5>indicies at their lowest since early July. But they're big

0:31:48.120 --> 0:31:50.120
<v Speaker 5>drops in the moment. Coming up, we're to be joined

0:31:50.120 --> 0:31:53.080
<v Speaker 5>by Menlo Venture's partner Matt Murphy on the firm's exclusive

0:31:53.120 --> 0:31:55.800
<v Speaker 5>partnership with Anthropic and their new fund.

0:31:55.960 --> 0:31:57.920
<v Speaker 1>That's next. This is Spoonberg Technology.

0:32:13.880 --> 0:32:17.640
<v Speaker 5>Melo Ventures just announced the Anthology Fund, a one hundred

0:32:17.640 --> 0:32:21.880
<v Speaker 5>million dollar initiative created through an exclusive partnership with AI

0:32:22.000 --> 0:32:25.960
<v Speaker 5>company Anthropic. The goal to partner with innovative founders to

0:32:26.000 --> 0:32:30.240
<v Speaker 5>build unique AI first applications and infrastructure solutions that leverage

0:32:30.280 --> 0:32:33.480
<v Speaker 5>Anthropics technology and its AI models. Are going to bring

0:32:33.480 --> 0:32:37.800
<v Speaker 5>in Meno Ventures partner Matt Murphy for more on this mechanically.

0:32:37.880 --> 0:32:38.720
<v Speaker 1>How does it work?

0:32:38.960 --> 0:32:42.080
<v Speaker 5>So you see something on your desk, an opportunity, and

0:32:42.120 --> 0:32:45.440
<v Speaker 5>you phone up somebody at Anthropic and say we should

0:32:45.440 --> 0:32:48.080
<v Speaker 5>do a deal here, we should co invest and we

0:32:48.120 --> 0:32:48.560
<v Speaker 5>can help.

0:32:50.000 --> 0:32:51.880
<v Speaker 12>Well, it's a little deeper than that.

0:32:52.520 --> 0:32:56.320
<v Speaker 16>It's really a collaborative initiative with them, where we've got

0:32:56.360 --> 0:32:59.960
<v Speaker 16>a whole program built for entrepreneurs. So we've got quarterly media,

0:33:00.280 --> 0:33:03.880
<v Speaker 16>we've got biannual demo days, we've got a lot of

0:33:04.000 --> 0:33:07.560
<v Speaker 16>back and forth interaction between the two companies, and you know,

0:33:07.600 --> 0:33:09.920
<v Speaker 16>really we expect a tremendous amount of the deal flow

0:33:09.960 --> 0:33:12.640
<v Speaker 16>to come from them, things that they're interested in, that

0:33:12.680 --> 0:33:14.680
<v Speaker 16>they see that they'd like to see kind of as

0:33:15.000 --> 0:33:18.840
<v Speaker 16>lighthouse examples of AI. So there's a lot of alignment

0:33:19.000 --> 0:33:22.160
<v Speaker 16>around basically kind of this first wave of AI has

0:33:22.160 --> 0:33:26.080
<v Speaker 16>happened so quickly and been the biggest kind of technology

0:33:26.120 --> 0:33:28.080
<v Speaker 16>wave and curve we've ever seen, but it's still a

0:33:28.120 --> 0:33:30.160
<v Speaker 16>bit of the wild West, and developers are on their

0:33:30.200 --> 0:33:33.680
<v Speaker 16>own and everybody's doing things a little bit differently and

0:33:33.760 --> 0:33:34.640
<v Speaker 16>trying to figure it out.

0:33:34.680 --> 0:33:36.240
<v Speaker 12>There's an immature ecosystems.

0:33:36.320 --> 0:33:40.000
<v Speaker 16>The idea here is to really bring together the best developers,

0:33:40.600 --> 0:33:44.080
<v Speaker 16>the best AI technology platform in Anthropic, and a leading

0:33:44.160 --> 0:33:47.640
<v Speaker 16>venture firm like Menlo to really build community and push

0:33:47.640 --> 0:33:51.120
<v Speaker 16>the boundaries together, to learn together, to mature that ecosystem,

0:33:51.440 --> 0:33:54.080
<v Speaker 16>and to really think about some special areas that really

0:33:54.120 --> 0:33:55.680
<v Speaker 16>haven't been conquered yet.

0:33:55.680 --> 0:33:56.960
<v Speaker 12>So super excited about it.

0:33:57.080 --> 0:33:59.200
<v Speaker 4>I mean, Matt, this isn't kind of the first time

0:33:59.240 --> 0:34:01.600
<v Speaker 4>you've done one of these innovative kind of partnerships. I

0:34:01.600 --> 0:34:03.680
<v Speaker 4>think back of the ipund that you helped launch back

0:34:03.680 --> 0:34:05.920
<v Speaker 4>in two thousand and eight that was about being collaborative

0:34:05.960 --> 0:34:10.720
<v Speaker 4>with Apple defining apps applications on their operating system.

0:34:10.800 --> 0:34:12.200
<v Speaker 6>Can you tell us a little.

0:34:11.920 --> 0:34:15.600
<v Speaker 4>Bit about how much skin in the game ultimately Anthropic

0:34:15.719 --> 0:34:18.800
<v Speaker 4>will have or is it more about just bringing about Claude,

0:34:18.880 --> 0:34:21.920
<v Speaker 4>the adoption of it, and well then perhaps funding a

0:34:21.920 --> 0:34:24.280
<v Speaker 4>bit of use of their own applications.

0:34:25.000 --> 0:34:31.719
<v Speaker 16>Yeah, well it's it's Menlo's capital, but it's really Anthropics sponsorship, advice, mentoring,

0:34:32.080 --> 0:34:34.520
<v Speaker 16>getting closer to these developers. So I think it's really

0:34:34.560 --> 0:34:37.120
<v Speaker 16>a win win for everybody. Anthropic as a cohort of

0:34:37.200 --> 0:34:41.640
<v Speaker 16>developers that a that will have recommended a number of them,

0:34:41.640 --> 0:34:44.960
<v Speaker 16>but be there'll really be kind of involved in helping

0:34:45.000 --> 0:34:47.000
<v Speaker 16>them if those developers are stuck. They'll be able to

0:34:47.120 --> 0:34:52.200
<v Speaker 16>understand what kind of needs developers have and you know,

0:34:52.280 --> 0:34:54.120
<v Speaker 16>and kind of really make sure that we've got very

0:34:54.160 --> 0:34:57.920
<v Speaker 16>specific areas that we're both interested in seeing applications.

0:34:57.200 --> 0:34:58.879
<v Speaker 12>Exist that we kind of help fund those.

0:34:58.920 --> 0:35:01.480
<v Speaker 16>And I think for entrepreneurs is again given it's a

0:35:01.480 --> 0:35:03.400
<v Speaker 16>bit of the wild West, they now kind of know

0:35:03.440 --> 0:35:05.520
<v Speaker 16>there's a place to come where you can get support

0:35:05.560 --> 0:35:09.960
<v Speaker 16>from Anthropic. Every developer developing something should be looking at

0:35:10.080 --> 0:35:12.560
<v Speaker 16>Nthropic because it's absolutely the best model right now and

0:35:12.600 --> 0:35:14.759
<v Speaker 16>we have great confidence that it's also the best team

0:35:14.800 --> 0:35:17.400
<v Speaker 16>and will continue to kind of pace that race. So

0:35:17.800 --> 0:35:20.799
<v Speaker 16>Anthropics really trying to get closer to the developer community.

0:35:21.000 --> 0:35:23.719
<v Speaker 16>That's what we do on a daily basis, and developers

0:35:23.760 --> 0:35:25.240
<v Speaker 16>can really take advantage.

0:35:24.760 --> 0:35:27.759
<v Speaker 1>Of it, MATT support or compute.

0:35:27.960 --> 0:35:30.200
<v Speaker 5>There's a lot of discussion right now about venture firms

0:35:30.239 --> 0:35:33.080
<v Speaker 5>who are you know, kind of advertising that they've built

0:35:33.160 --> 0:35:34.840
<v Speaker 5>up their own cluster of h one hundreds.

0:35:34.840 --> 0:35:36.359
<v Speaker 1>I think Andresen is an example of.

0:35:36.320 --> 0:35:40.480
<v Speaker 5>That, right, but in reality, you know, it's probably through AWS,

0:35:40.719 --> 0:35:44.320
<v Speaker 5>Andthropic has a great relationship with AWS GCP as well.

0:35:45.080 --> 0:35:47.000
<v Speaker 5>You kind of market it that way where you say

0:35:47.080 --> 0:35:51.680
<v Speaker 5>to potential portfolio companies, this is the support operationally we

0:35:51.719 --> 0:35:53.160
<v Speaker 5>can give you through a compute lens.

0:35:54.480 --> 0:35:55.000
<v Speaker 12>Yeah, I mean, I.

0:35:55.000 --> 0:35:59.000
<v Speaker 16>Think this is more about creating a community of founders

0:35:59.000 --> 0:36:01.120
<v Speaker 16>that can learn from each other and talk to each

0:36:01.120 --> 0:36:05.279
<v Speaker 16>other about how they're solving certain problems, get advice from

0:36:05.320 --> 0:36:10.880
<v Speaker 16>Anthropic on their roadmap, early access to certain things, and

0:36:10.960 --> 0:36:13.920
<v Speaker 16>really just kind of more of almost like a batphone

0:36:14.000 --> 0:36:15.919
<v Speaker 16>or a hotline to talk to them if they've got

0:36:15.920 --> 0:36:18.600
<v Speaker 16>any issues. So I think the whole notion of building

0:36:18.640 --> 0:36:23.799
<v Speaker 16>out a cluster and capability of capacity for them is

0:36:23.840 --> 0:36:25.600
<v Speaker 16>not really part of this program, no order, I think

0:36:25.600 --> 0:36:28.160
<v Speaker 16>it's necessary. I mean, they get free credits and things

0:36:28.200 --> 0:36:30.680
<v Speaker 16>like that, so there will be capacity on Anthropic. But

0:36:31.239 --> 0:36:33.759
<v Speaker 16>I was actually with Jensen last night and I have

0:36:33.920 --> 0:36:37.600
<v Speaker 16>high confidence that Nvidia will continue to solve the capacity

0:36:37.640 --> 0:36:41.919
<v Speaker 16>problem and the big cloud providers like Anthropics partners, Aws

0:36:41.960 --> 0:36:44.799
<v Speaker 16>and Google will provide that need over the time. So

0:36:44.840 --> 0:36:46.719
<v Speaker 16>you might have a little bit of a short term

0:36:46.760 --> 0:36:48.960
<v Speaker 16>capacity constraint, but I'm not too worried about it over

0:36:49.000 --> 0:36:49.520
<v Speaker 16>the long haul.

0:36:50.200 --> 0:36:55.520
<v Speaker 4>Matt, I'm a founder wanting to get more use out

0:36:55.560 --> 0:36:57.880
<v Speaker 4>of Anthropic, and I've got an idea what problems you

0:36:57.920 --> 0:37:00.200
<v Speaker 4>want to see solved, because there are a lot of

0:37:00.239 --> 0:37:04.360
<v Speaker 4>areas that allocation and well value can be attributed to

0:37:04.520 --> 0:37:06.400
<v Speaker 4>in the supply chain right now of AI.

0:37:08.200 --> 0:37:10.600
<v Speaker 12>Yeah, I mean, I think there's certain areas that you know,

0:37:10.640 --> 0:37:11.319
<v Speaker 12>we've called out.

0:37:11.440 --> 0:37:14.560
<v Speaker 16>It's a big interest for Anthropic two around things like

0:37:14.640 --> 0:37:17.440
<v Speaker 16>digital health. You know how messed up that system is

0:37:17.480 --> 0:37:23.279
<v Speaker 16>and all the capabilities to automate do better diagnosis, accelerate

0:37:23.360 --> 0:37:26.640
<v Speaker 16>cure programs, things like that. The legal vertical has already

0:37:26.680 --> 0:37:29.720
<v Speaker 16>been one of the first movers here. I think helping

0:37:29.760 --> 0:37:34.239
<v Speaker 16>people optimize trust in safety, because trust in safety can

0:37:34.280 --> 0:37:36.640
<v Speaker 16>be a real barrier to adoption if people feel like

0:37:37.080 --> 0:37:42.239
<v Speaker 16>the models will hallucinate or you know, produce results that

0:37:42.280 --> 0:37:45.000
<v Speaker 16>aren't consistent with their brand message. I think there's a

0:37:45.040 --> 0:37:48.640
<v Speaker 16>lot of infrastructure. A model is one part of it,

0:37:48.719 --> 0:37:51.440
<v Speaker 16>but really for any developer ecosystem to thrive, you need

0:37:51.480 --> 0:37:54.120
<v Speaker 16>a whole developer experience. So there's a bunch of things

0:37:54.160 --> 0:37:57.439
<v Speaker 16>like that that we'll be working on together that will

0:37:57.480 --> 0:37:58.080
<v Speaker 16>be really exciting.

0:38:00.040 --> 0:38:03.320
<v Speaker 5>Top story this week on our show has been jd Vance.

0:38:03.360 --> 0:38:07.160
<v Speaker 5>Probably you were quoted in a Bloomberg story weighing in

0:38:07.200 --> 0:38:09.560
<v Speaker 5>as part of a very broad Silicon Valley reaction. I

0:38:09.600 --> 0:38:12.160
<v Speaker 5>just wondered if you'd extrapolate a bit more and explain

0:38:12.280 --> 0:38:18.200
<v Speaker 5>your view on a former Silicon Valley name potentially going

0:38:18.239 --> 0:38:20.520
<v Speaker 5>to the White House in November.

0:38:21.320 --> 0:38:21.800
<v Speaker 12>Yeah.

0:38:21.960 --> 0:38:24.839
<v Speaker 16>My real point was, irrespective of party, I think the

0:38:24.880 --> 0:38:27.799
<v Speaker 16>more that we have people in the White House or

0:38:27.840 --> 0:38:30.920
<v Speaker 16>around Washington who really understand tech, it's the biggest driver

0:38:31.000 --> 0:38:33.960
<v Speaker 16>of innovation and job growth in our economy, and we

0:38:34.000 --> 0:38:37.080
<v Speaker 16>need people who understand it. And having somebody who's been

0:38:37.160 --> 0:38:40.520
<v Speaker 16>as part of a fund who's seen the way innovation

0:38:40.680 --> 0:38:43.040
<v Speaker 16>works back company has been on a board things like that.

0:38:43.120 --> 0:38:46.160
<v Speaker 16>I think it's kind of a unique experience and opportunity

0:38:46.160 --> 0:38:48.799
<v Speaker 16>that can be helpful. You know, we have some resistance

0:38:48.880 --> 0:38:52.040
<v Speaker 16>right now around the M and a market and antitrust

0:38:52.080 --> 0:38:54.000
<v Speaker 16>that's been blocking some important deals.

0:38:54.040 --> 0:38:57.080
<v Speaker 12>And the way that the venture economy can.

0:38:57.000 --> 0:39:01.520
<v Speaker 16>Really flourish is where strategic buyers can purchased the companies

0:39:01.560 --> 0:39:02.879
<v Speaker 16>that may not be able to get all the way

0:39:02.920 --> 0:39:06.640
<v Speaker 16>to the IPO on their own. We have other exopaths

0:39:06.640 --> 0:39:09.839
<v Speaker 16>like p firms and things like that, but really and

0:39:09.880 --> 0:39:13.120
<v Speaker 16>obviously IPOs, but it's super important that there's a vibrant

0:39:13.520 --> 0:39:16.360
<v Speaker 16>M and A environment and I think anyone who's leading

0:39:16.360 --> 0:39:19.680
<v Speaker 16>in Washington should be very conscious of that to enhance

0:39:19.760 --> 0:39:22.120
<v Speaker 16>and continue this job growth that's spent an amazing growth

0:39:22.120 --> 0:39:24.160
<v Speaker 16>into the for the firm, the country.

0:39:24.680 --> 0:39:27.319
<v Speaker 4>Matt, thanks for coming on talking anthology fund and a

0:39:27.320 --> 0:39:39.080
<v Speaker 4>little bit of politics of Meno ventues. We appreciate it.

0:39:37.360 --> 0:39:39.320
<v Speaker 6>The good, the bad, and the ugly.

0:39:39.760 --> 0:39:41.799
<v Speaker 4>That could be one way summarising the last twenty four

0:39:41.840 --> 0:39:43.880
<v Speaker 4>hours over at Amazon, because Prime Day is getting off

0:39:43.920 --> 0:39:47.520
<v Speaker 4>to a fast start, sales jumping look twelve thirteen percent

0:39:47.560 --> 0:39:49.840
<v Speaker 4>within the first six hours of the event yesterday, but

0:39:49.960 --> 0:39:53.200
<v Speaker 4>you fast forward to Tuesday night, the company's advertising portal

0:39:53.239 --> 0:39:55.920
<v Speaker 4>it crashes, leaving brands in the dark, flung blind with

0:39:55.960 --> 0:39:58.560
<v Speaker 4>their out spending for more than two hours. Felt a

0:39:58.560 --> 0:40:00.840
<v Speaker 4>bit of a soad and sour are ending to the

0:40:00.880 --> 0:40:03.000
<v Speaker 4>first day of Prime Day, certainly weighing on the shares

0:40:03.000 --> 0:40:05.719
<v Speaker 4>this morning. Let's bring in Spencer Sofa, who has the

0:40:05.719 --> 0:40:09.440
<v Speaker 4>inside track. You watched as people were left baffled and frustrated.

0:40:09.520 --> 0:40:09.919
<v Speaker 6>I'm sure.

0:40:11.840 --> 0:40:14.440
<v Speaker 17>Yeah, there was a lot of panic last evening and

0:40:15.080 --> 0:40:17.560
<v Speaker 17>we started working on the story when there were signs

0:40:17.600 --> 0:40:20.960
<v Speaker 17>of trouble and right about the time we got the

0:40:21.000 --> 0:40:23.920
<v Speaker 17>story out that Amazon's advertising portal was down. And this

0:40:24.040 --> 0:40:26.520
<v Speaker 17>is kind of a critical tool that people who sell

0:40:26.600 --> 0:40:29.840
<v Speaker 17>things on Amazon and added brains on Amazon used to

0:40:29.960 --> 0:40:32.879
<v Speaker 17>manage their and spending. Look for which keywords are hot,

0:40:33.000 --> 0:40:35.920
<v Speaker 17>so they've been adjusted the marketing spend reporting when it

0:40:36.120 --> 0:40:39.440
<v Speaker 17>just went dark for a lot of these sellers. And

0:40:40.280 --> 0:40:43.640
<v Speaker 17>so yeah, we were reporting into that last evening and

0:40:44.160 --> 0:40:46.640
<v Speaker 17>the perfect with Amazon, but it did seem to be

0:40:46.719 --> 0:40:49.160
<v Speaker 17>short lived, which is good. That's the trouble with these

0:40:49.160 --> 0:40:51.600
<v Speaker 17>glitches and don't know when they're going to just keep

0:40:51.680 --> 0:40:55.839
<v Speaker 17>spiraling out of control and what they're going to be

0:40:55.840 --> 0:40:57.719
<v Speaker 17>be contained and this one does seem like it was

0:40:58.120 --> 0:41:01.200
<v Speaker 17>contained without creative easy about it damage.

0:41:02.160 --> 0:41:03.720
<v Speaker 1>That's kind of the bad and the ugly.

0:41:03.840 --> 0:41:05.839
<v Speaker 5>I guess the good spentra One way look at it

0:41:05.880 --> 0:41:07.680
<v Speaker 5>is it's kind of like money left on the table

0:41:07.719 --> 0:41:10.799
<v Speaker 5>for Amazon because it seems like growth for Prime Day.

0:41:10.840 --> 0:41:16.080
<v Speaker 5>It was a good showcase for the e commerce platform.

0:41:16.160 --> 0:41:19.000
<v Speaker 17>Yeah, all other indicators of the find Bay's doing buying

0:41:19.040 --> 0:41:23.200
<v Speaker 17>and even the glitch doesn't necessarily hurt Amazon. It more

0:41:23.280 --> 0:41:26.320
<v Speaker 17>hurts people who sell on Amazon who are monitoring in

0:41:26.360 --> 0:41:28.600
<v Speaker 17>real time and wanted to make adjustments. They kind of

0:41:28.600 --> 0:41:31.680
<v Speaker 17>got hamstrung for a bit there, but a lot of

0:41:31.719 --> 0:41:34.439
<v Speaker 17>the ad spending stuff is automated, so they just weren't

0:41:34.440 --> 0:41:38.319
<v Speaker 17>able to make changes. So, yeah, Amazon is Prime Day

0:41:38.440 --> 0:41:41.640
<v Speaker 17>self bartnering quite well, tracking at about eleven percent growth

0:41:42.440 --> 0:41:46.800
<v Speaker 17>from the same event last year, and that's Adobe's prediction,

0:41:47.280 --> 0:41:50.880
<v Speaker 17>and that's everything seems to be on track with that

0:41:51.520 --> 0:41:51.920
<v Speaker 17>at est.

0:41:52.800 --> 0:41:56.520
<v Speaker 18>And another thing is that fine day, it's we really

0:41:56.560 --> 0:41:59.399
<v Speaker 18>see a surge in the initial hours, like that first day,

0:41:59.480 --> 0:42:01.759
<v Speaker 18>the morning of that first day when all of the

0:42:01.840 --> 0:42:06.160
<v Speaker 18>spending occurs. So it was fortunate that the advertising bliteme

0:42:06.320 --> 0:42:10.480
<v Speaker 18>the evening on the first day because spending consumers aren't

0:42:10.719 --> 0:42:14.280
<v Speaker 18>quite busy on Amazon Prime Day at that time.

0:42:14.800 --> 0:42:18.520
<v Speaker 4>Spencer, we appreciate it, all things Amazon Prime Day. Thank you,

0:42:18.560 --> 0:42:21.359
<v Speaker 4>Spesca Sofa. Look, let's just check in on this market again.

0:42:21.520 --> 0:42:25.360
<v Speaker 4>Ed extraordinary day. Chip stocks down ASML having its worst

0:42:25.440 --> 0:42:28.640
<v Speaker 4>day since March twenty twenty. Its earnings were good ed,

0:42:29.440 --> 0:42:32.239
<v Speaker 4>but not good enough to asset the geopolitical risks.

0:42:33.160 --> 0:42:35.480
<v Speaker 5>Yeah, vast majority of names on Nasdaq one hundred in

0:42:35.480 --> 0:42:37.160
<v Speaker 5>the red. Bit that the chip stocks where the pains

0:42:37.280 --> 0:42:37.840
<v Speaker 5>most felt.

0:42:39.120 --> 0:42:41.400
<v Speaker 6>That does it for this edition of Bloomberg Technology.

0:42:42.280 --> 0:42:43.960
<v Speaker 1>Check out the pod. You know where to find it.

0:42:43.960 --> 0:42:44.800
<v Speaker 1>It's this Bloomberg