WEBVTT - Trump Talks US-China Trade, Crypto Billions Vanish 

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

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

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<v Speaker 1>and EVA though in San Francisco.

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<v Speaker 2>This is Bloomberg Tech coming up.

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<v Speaker 3>President Trump says they're threatened one hundred and forty five

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<v Speaker 3>percent taris with China are not viable. Will this soothes

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<v Speaker 3>trade relations between the two world's biggest economies. Plus billions

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<v Speaker 3>of dollars in crypto market value banished as old cooin's plunged.

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<v Speaker 3>We'll dive deeper into some of the riskier parts of

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<v Speaker 3>the tech markets, and Apple plans a revamped MacBook Pro

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<v Speaker 3>with a touch display in late twenty twenty six or early.

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<v Speaker 2>Twenty twenty seven. But first we check in on these

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<v Speaker 2>markets then.

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<v Speaker 3>Have been whipsawed this week, and we shine like what's

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<v Speaker 3>happened with the NaSTA one hundred that throughout some of

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<v Speaker 3>those trade tensions. Despite the anxiety around credit in the

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<v Speaker 3>banking sector, we remain higher at one point six percent.

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<v Speaker 3>We really have earnings on top for some of the

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<v Speaker 3>key players take TSMC, take ASML. But let's return now,

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<v Speaker 3>of course, to what's been happening in the world of

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<v Speaker 3>crypto as well, we have seen some pressure on that

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<v Speaker 3>particular part of the market, the riskier edges, look at

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<v Speaker 3>some of the contum stocks, look at some of the

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<v Speaker 3>more risky leverage ETFs more of fine more than eight

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<v Speaker 3>percent when it comes to bitcoin. So has not managed

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<v Speaker 3>to revive from that tummult that we experienced over the

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<v Speaker 3>course of the weekend and leverage getting flushed out returned

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<v Speaker 3>to all of these parts of the market. But so

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<v Speaker 3>as we talk the macro context here, because President Trump

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<v Speaker 3>says indeed that the threatened high tariffs with China are

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<v Speaker 3>not viable, as tensions between the world's two largest economies

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<v Speaker 3>intensify ahead of an expected face to face meeting with

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<v Speaker 3>Chinese counterpart Shaging Ping. Here's what he said on Fox Business.

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<v Speaker 2>It's not sustainable, but that's what the number is. It's

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<v Speaker 2>probably naty and I could stand, but they forced me

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<v Speaker 2>to do that.

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<v Speaker 4>I think we're going.

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<v Speaker 2>To be fine with China, but we have to have

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<v Speaker 2>a fair deal. It's got to be fair.

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<v Speaker 3>It's southing markets also long term impact. Bloom Vaccina Tech

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<v Speaker 3>editor Mike Sheppard joins us now.

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<v Speaker 2>To break it down.

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<v Speaker 3>Look, we'd worried that that meeting between she and Trump

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<v Speaker 3>wouldn't be on It looks as though, tantalizingly, it might be.

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<v Speaker 1>Yes.

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<v Speaker 5>He is indicating Caro that this meeting will take place.

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<v Speaker 5>Of course, we still don't have the details on when

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<v Speaker 5>or exactly where, although it is expected to take place

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<v Speaker 5>during the APEX summit that both leaders are scheduled to

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<v Speaker 5>attend at the end of the month, which is really

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<v Speaker 5>about ten or twelve days away, so they don't have

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<v Speaker 5>a lot of time to lock that in and then

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<v Speaker 5>also do some of the key legwork ahead of time,

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<v Speaker 5>and that's grown only more complex with all of the

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<v Speaker 5>back and forth over some really sticky trade issues that

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<v Speaker 5>we've seen more recently, and this all was thrown into

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<v Speaker 5>doubt by last week's move by China to impose curbs

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<v Speaker 5>on exports of rare earth elements, which are critical across

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<v Speaker 5>the economy and everything from autos to consumer electronics to

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<v Speaker 5>defense equipment, and that was something that really set off

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<v Speaker 5>US officials. We saw Treasury Secretary Scott Besson's really visceral

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<v Speaker 5>reaction earlier this week, and the US has since moved

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<v Speaker 5>to rally allies against China's move, recognizing that this would

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<v Speaker 5>have global implications and that it would affect far more

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<v Speaker 5>than just the US economy. So it'll be interesting to

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<v Speaker 5>see how this all plays out in those lower level negotiations.

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<v Speaker 5>But for now, the President is saying the quiet part

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<v Speaker 5>out loud, acknowledging Caro that there will be some severe

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<v Speaker 5>economic follow if those very high tariffs actually take effect.

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<v Speaker 3>I'm looking at certain tech names that are exposed to

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<v Speaker 3>China and they have been rallying, whether or not it's

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<v Speaker 3>just a risk one attitude into the weekend, or whether

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<v Speaker 3>it is on the back of these comments. But what

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<v Speaker 3>are you watching for in the tech sector more broadly

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<v Speaker 3>mic as to how they weather this ongoing instability uncertainty.

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<v Speaker 5>Well, part of the question really is going to be

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<v Speaker 5>the degree of investment that will flow to China and

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<v Speaker 5>whether there is any sort of chill elsewhere as well.

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<v Speaker 5>As a result, one of the key questions in the

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<v Speaker 5>US China relationship has been not only the Chinese export

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<v Speaker 5>curves on rare earths, but the US export restrictions on

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<v Speaker 5>events technology. That includes the AI chips from Nvidia and

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<v Speaker 5>AMD that you and I've talked about so much in

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<v Speaker 5>this space, but also the semiconductor manufacturing equipment from the

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<v Speaker 5>likes of ASML and Tokyo Electron that is so critical

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<v Speaker 5>to making those chips that are powering the AI revolution.

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<v Speaker 5>That gear has been restricted by US measures over the

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<v Speaker 5>past couple of years, and one of the reasons Beijing

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<v Speaker 5>is trying to use this leverage right now at this

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<v Speaker 5>moment on rare earths, a market and a sector that

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<v Speaker 5>it really dominates. It has this control over that supply chain.

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<v Speaker 5>It wants the US to relent a little bit in

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<v Speaker 5>this area so that it can gain back some access

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<v Speaker 5>to those critical materials itself, the AI chips and the

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<v Speaker 5>semiconductor equipment, manufacturing equipment needed to make them.

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<v Speaker 3>Cto Palenter telling us that exact thing this time last

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<v Speaker 3>week on our Defense Tech special Mike Shephard, It's great

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<v Speaker 3>to have you on the show. Thanks for the context.

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<v Speaker 3>Let's go out to Mike Dixon now for the market

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<v Speaker 3>impact of US Chine and trade tensions. Here's the head

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<v Speaker 3>of Research and Qunitive Strategies over Horizon Investments. You've got

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<v Speaker 3>ten billion dollars in assets under management, all told, Mike,

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<v Speaker 3>and I'm interested as to how you weather the ongoing

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<v Speaker 3>headline risk that we see about US and China.

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<v Speaker 6>Well, it's certainly there and we have seen that, you know,

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<v Speaker 6>impact certain areas of the market, you know, but overall,

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<v Speaker 6>as we're heading into you know, the bulk of the

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<v Speaker 6>tech earning season here in just a couple of weeks,

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<v Speaker 6>you know, I think it's helpful just to kind of

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<v Speaker 6>zoom out a little bit and see where the fundamentals are.

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<v Speaker 6>And we've got to early read on that this week,

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<v Speaker 6>of course, with ASML and TSM showing there's very strong demand,

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<v Speaker 6>you know, Oracles Investor Day as well, supported as much,

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<v Speaker 6>you know, and when we look at the returns thus

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<v Speaker 6>far for the top of the market, I think one

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<v Speaker 6>of the most interesting things to me is that we

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<v Speaker 6>actually have not seen returns driven by valuations increasing this year. So,

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<v Speaker 6>you know, as we head into earning season, I think

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<v Speaker 6>it's a really good, really good point to remember and

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<v Speaker 6>kind of zoom out for a little bit of the

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<v Speaker 6>bigger picture and we'll see how this, you know, trying

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<v Speaker 6>to kind of trade tention stuff works out. But the

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<v Speaker 6>underwine fundamentals are very much strong.

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<v Speaker 2>Okay, what have the returns been driven by?

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<v Speaker 6>Then It's been driven by this you know, increased demand

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<v Speaker 6>and you know, overall, just the expected expected earnings continuing

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<v Speaker 6>to grow and clip clip along at very high rates,

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<v Speaker 6>and you know we're seeing that through uh, you know,

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<v Speaker 6>through the continued you know, AI demand, and I think

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<v Speaker 6>strong fundamentals supporting the returns is a much better place

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<v Speaker 6>to be than having that be driven by just the

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<v Speaker 6>increase in investor optimism through evaluations going up. And I

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<v Speaker 6>really do think it's a very strong place to be

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<v Speaker 6>as we head into earning season to actually see valuations

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<v Speaker 6>be at or below for a lot of these bigger names,

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<v Speaker 6>and they really were even to come into the year,

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<v Speaker 6>and I think investors really need to be aware of

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<v Speaker 6>that that, you know, especially those that that are bearish on,

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<v Speaker 6>you know, some of this continuation of the trend, because

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<v Speaker 6>the fundamentals are very strong and it is supporting the

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<v Speaker 6>price trends that we've seen.

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<v Speaker 3>Okay, so it feels as though you're not thinking there

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<v Speaker 3>is some sort of bubble, but that's in parts of

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<v Speaker 3>the market which have seen the AI well optimism really

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<v Speaker 3>like fire. We've seen it, particularly as you say TSMCSML.

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<v Speaker 3>I just want to go back to some companies that

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<v Speaker 3>they are rallying today that have exposure to China in particular,

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<v Speaker 3>I'm looking at Tesla, I'm looking at Apple, I am

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<v Speaker 3>looking at ASML, which managed to calm our anxieties that

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<v Speaker 3>they can continue to see the mega trend continue even

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<v Speaker 3>if China falls away in terms of demand. But what

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<v Speaker 3>about those companies that have high exposure to China? Is

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<v Speaker 3>that something that you need to be anxious about?

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<v Speaker 6>Well, I think we need to go back to just

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<v Speaker 6>what we've seen over the last six months with all

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<v Speaker 6>of the tariff stuff. Of course, we're you know, you know,

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<v Speaker 6>in this period where we're not exactly sure how this

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<v Speaker 6>is going to work out. But when we look at

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<v Speaker 6>the last six months, there has been a lot of

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<v Speaker 6>fits and starts of teriff situation is going to be

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<v Speaker 6>terrible and then we ultimately get a deal. And look,

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<v Speaker 6>I think overall the market has become a little desensitized

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<v Speaker 6>to a lot of this back and forth, you know,

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<v Speaker 6>tariff situation. For one, think that you know, ultimately, and

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<v Speaker 6>Trump alloted as much in his interview, I think wants

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<v Speaker 6>to make a deal. Uh, And so I think that

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<v Speaker 6>that that that should be kind of our our base

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<v Speaker 6>case here and this headline volatility that we've seen, you know,

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<v Speaker 6>is U is just necessary for you know that risk

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<v Speaker 6>premium to be realized.

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<v Speaker 3>Mike, going back therefore to the idea of valuations, Yes

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<v Speaker 3>they're high, but it's because earnings have grown into them.

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<v Speaker 3>Where are you seeing the earnings likely to catch fire

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<v Speaker 3>in this set of earnings for the companies that you follow,

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<v Speaker 3>because you are in all the major players when it

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<v Speaker 3>comes to AI.

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<v Speaker 4>Yeah, that's right.

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<v Speaker 6>I mean when you look at just the top of

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<v Speaker 6>the market, you know, Max seven obviously comes up a

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<v Speaker 6>lot there. There's pretty big, uh, you know, divergence amongst

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<v Speaker 6>that group this year, and so you know some of

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<v Speaker 6>the names that have been laggers amongst that group, that

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<v Speaker 6>the Teslas, the Apples, the Amazons, you know, I think

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<v Speaker 6>where that sits as you know, what's attractive with the

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<v Speaker 6>top of the market, I think that's probably still going

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<v Speaker 6>to be the case that in the medium term those

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<v Speaker 6>are probably still going to be the laggards and the winners,

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<v Speaker 6>and that you know, AI group at the top of

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<v Speaker 6>the market are still going to be the winners. And

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<v Speaker 6>a lot of that I think has to do with

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<v Speaker 6>you know, a lot of the smaller software and services

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<v Speaker 6>type names have had a difficult time really kind of

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<v Speaker 6>separating themselves and really showing unique value propositions for their products,

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<v Speaker 6>and therefore the market is kind of defaulting to what

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<v Speaker 6>they know, and that is those AI winners. So I think,

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<v Speaker 6>you know, even amongst that top of the market in

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<v Speaker 6>the Max seven names, the ones that have been doing well,

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<v Speaker 6>I think are poised to continue to do well, and

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<v Speaker 6>the laggards are, at least in the medium term, probably

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<v Speaker 6>still going to be the laggards.

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<v Speaker 2>Follow the trend might extent and horizon. We appreciate you

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<v Speaker 2>have a good weekend.

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<v Speaker 3>Now coming up will break down the latest F five

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<v Speaker 3>cybersecurity hacks, how it's affecting the Defense Department, and wider

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<v Speaker 3>implications for the cybersecurity industry.

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<v Speaker 2>Do I have blues with us? From il meg Tech.

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<v Speaker 3>Shares, a cybersecurity provider. F five Networks look. They tumbled

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<v Speaker 3>this week following revelations that it was hit by a

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<v Speaker 3>prolonged hack that could lead to potentially catastrophic compromises. Now,

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<v Speaker 3>according to sources, the breach has been blamed on state

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<v Speaker 3>backed hackers from China. China Foreign Ministry spokesman Ninjian said

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<v Speaker 3>that China always opposes and fights hacking activities in.

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<v Speaker 2>Accordance with the law.

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<v Speaker 3>For more it's Bloomberg Cybersecurity editor Jeff Stone. But why

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<v Speaker 3>is this so potentially catastrophic.

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<v Speaker 7>One of the things we have to remember, Caroline, is

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<v Speaker 7>that cybersecurity companies like F five, like a lot of

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<v Speaker 7>technology companies, but cyber companies in particular, have really deep

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<v Speaker 7>access to their clients' systems, their networks. They control firewalls,

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<v Speaker 7>they control who has access to what they control, which

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<v Speaker 7>ips can access other computers, certainly passwords and user names

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<v Speaker 7>and that kind of thing. So when the people who

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<v Speaker 7>are trying to stop hackers from getting in ultimately are

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<v Speaker 7>compromise that gives outsiders, spies from places like China really

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<v Speaker 7>really deep, valuable insight.

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<v Speaker 3>For a long time, for a long time twelve months,

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<v Speaker 3>and what sort of companies and institutions are being implicated here.

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<v Speaker 4>We're still trying to get a sense of that.

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<v Speaker 7>We're really trying to understand how Chinese hackers also access

0:11:33.000 --> 0:11:35.400
<v Speaker 7>F five in the first place. But we know F

0:11:35.400 --> 0:11:38.600
<v Speaker 7>five works with government agencies. We know they work with

0:11:38.640 --> 0:11:40.760
<v Speaker 7>a huge number of the Fortune five hundred, it's a big,

0:11:40.800 --> 0:11:45.120
<v Speaker 7>successful publicly trade company. You mentioned the shares fell. I

0:11:45.120 --> 0:11:48.360
<v Speaker 7>mean that's a reflection of the severity the issue obviously.

0:11:48.160 --> 0:11:49.040
<v Speaker 2>Severity the issue.

0:11:49.040 --> 0:11:51.400
<v Speaker 3>That means the UK and the US have both together

0:11:51.400 --> 0:11:54.559
<v Speaker 3>put out these warnings. But as companies try to tackle this,

0:11:54.679 --> 0:11:57.240
<v Speaker 3>how else are they analyzing their defense systems and how

0:11:57.240 --> 0:11:59.920
<v Speaker 3>else are they also thinking about other companies that are

0:12:00.000 --> 0:12:02.040
<v Speaker 3>at the very backbone of their own infrastructure.

0:12:02.080 --> 0:12:02.480
<v Speaker 4>That's right.

0:12:02.480 --> 0:12:04.920
<v Speaker 7>One of the things that we've seen, certainly out of China,

0:12:05.040 --> 0:12:09.320
<v Speaker 7>for instance, is this evolution from typical email phishing attacks

0:12:09.360 --> 0:12:12.960
<v Speaker 7>and they're now resorting to companies with deeper access. Instead

0:12:12.960 --> 0:12:15.560
<v Speaker 7>of trying to hack your email, they are hacking the

0:12:15.600 --> 0:12:18.400
<v Speaker 7>company that you rely on to protect your email. So

0:12:18.720 --> 0:12:21.200
<v Speaker 7>for companies that are potentially affected by that, they need

0:12:21.240 --> 0:12:23.080
<v Speaker 7>to take a closer look, and they are taking a

0:12:23.120 --> 0:12:25.720
<v Speaker 7>closer look at who they rely on to do what.

0:12:26.040 --> 0:12:28.800
<v Speaker 7>They're looking at their vetting procedures, and they're really looking

0:12:28.840 --> 0:12:31.280
<v Speaker 7>at who they trust with their own kind of crown jewels.

0:12:31.280 --> 0:12:33.240
<v Speaker 4>But it's hard, it's a really difficult process.

0:12:33.280 --> 0:12:35.720
<v Speaker 3>We understand according to people familiar that the CEO of

0:12:35.840 --> 0:12:38.520
<v Speaker 3>F five themselves is out there calling up clients trying

0:12:38.520 --> 0:12:42.200
<v Speaker 3>to discuss how Chinese hackers, in particular, we're able to access.

0:12:42.240 --> 0:12:44.480
<v Speaker 3>But what are the next steps for a company in

0:12:44.520 --> 0:12:45.199
<v Speaker 3>this situation.

0:12:45.440 --> 0:12:47.840
<v Speaker 7>They f five is going through this process where they're

0:12:47.840 --> 0:12:49.880
<v Speaker 7>going to try to generate as much trust as they

0:12:49.920 --> 0:12:52.120
<v Speaker 7>possibly can. Part of that is going to mean being

0:12:52.200 --> 0:12:54.520
<v Speaker 7>transparent about what they do know, what they don't know,

0:12:54.600 --> 0:12:56.240
<v Speaker 7>and some of the things that they're trying to fix.

0:12:57.400 --> 0:12:59.439
<v Speaker 7>I know that the CEO, for instance, you mentioned, is

0:12:59.720 --> 0:13:01.840
<v Speaker 7>talking about China. One of the reasons that we see

0:13:01.840 --> 0:13:06.840
<v Speaker 7>executives do that a lot is because it's a serious

0:13:06.960 --> 0:13:09.679
<v Speaker 7>argument for a CEO to make to say, hey, we're

0:13:09.720 --> 0:13:12.560
<v Speaker 7>a private company, we are being attacked by some of

0:13:12.559 --> 0:13:18.000
<v Speaker 7>the world's most advanced, thoughtful, sophisticated spies. Really and this

0:13:18.040 --> 0:13:19.360
<v Speaker 7>is how they got in and here's what we're going

0:13:19.400 --> 0:13:20.200
<v Speaker 7>to try to do about it.

0:13:20.679 --> 0:13:22.920
<v Speaker 2>Jeff Stone, we thank you from Bloomberg.

0:13:24.240 --> 0:13:26.440
<v Speaker 3>Sorry, excuse me now, and let's bring in Giant Blue

0:13:26.480 --> 0:13:28.880
<v Speaker 3>into the conversation. She is co founder, CEO and chief

0:13:28.880 --> 0:13:32.480
<v Speaker 3>information security officer and Ale it's a new AI native

0:13:32.520 --> 0:13:36.000
<v Speaker 3>cyber reasoning system for vulnerability management, which just came out

0:13:36.040 --> 0:13:39.480
<v Speaker 3>of Stealth yesterday. Perfect timing for us and our audience. Jia,

0:13:39.840 --> 0:13:42.520
<v Speaker 3>and I'm interested as to what your read is on

0:13:42.520 --> 0:13:47.120
<v Speaker 3>this situation. How fierce is the threat coming from State

0:13:47.240 --> 0:13:49.360
<v Speaker 3>related activists and hackers.

0:13:50.280 --> 0:13:53.199
<v Speaker 8>It's actually incredibly fierce, and it's because there's a very

0:13:53.200 --> 0:13:56.400
<v Speaker 8>strong motivation to do these kinds of attacks. And what

0:13:56.440 --> 0:14:00.120
<v Speaker 8>you'll see is that this particular group, who is you know,

0:14:00.559 --> 0:14:03.040
<v Speaker 8>part of we think Silk Typhoon or maybe a separate group.

0:14:03.280 --> 0:14:05.760
<v Speaker 8>We've been seeing this type of activity classified under something

0:14:05.800 --> 0:14:09.560
<v Speaker 8>called brickstorm. And it sounds terrifying because it is terrifying,

0:14:09.600 --> 0:14:13.200
<v Speaker 8>and that's why the Cybersecurity Agency in the United States

0:14:13.240 --> 0:14:17.880
<v Speaker 8>put out an emergency directive just this Wednesday. Because forty

0:14:17.920 --> 0:14:21.680
<v Speaker 8>eight out of the Fortune fifty are using F five,

0:14:21.880 --> 0:14:24.840
<v Speaker 8>A vast number of the federal government they're using FI.

0:14:24.880 --> 0:14:29.080
<v Speaker 8>We suspect that there's thousands of devices being deployed. And

0:14:29.400 --> 0:14:32.480
<v Speaker 8>you know, really, because the source code is now out

0:14:32.520 --> 0:14:35.560
<v Speaker 8>there and in the hands of the Chinese, that means

0:14:35.600 --> 0:14:39.760
<v Speaker 8>that a nation state attacker is now looking for vulnerabilities

0:14:39.920 --> 0:14:43.480
<v Speaker 8>in this source code and has information they never should

0:14:43.480 --> 0:14:48.120
<v Speaker 8>have had about undisclosed vulnerabilities that F five was already investigating.

0:14:48.280 --> 0:14:51.200
<v Speaker 8>And because the attacker was there for more than a

0:14:51.440 --> 0:14:56.080
<v Speaker 8>year studying F five, it's actually quite terrifying. All the

0:14:56.120 --> 0:14:57.080
<v Speaker 8>capability they could have.

0:14:57.640 --> 0:14:59.520
<v Speaker 2>How have they gone unnoticed?

0:15:00.160 --> 0:15:00.440
<v Speaker 3>Solo.

0:15:01.720 --> 0:15:04.000
<v Speaker 8>Well, one of the biggest reasons is because if the

0:15:04.040 --> 0:15:08.920
<v Speaker 8>attacker comes in over remote management devices and protocols using

0:15:09.040 --> 0:15:11.960
<v Speaker 8>zero days, it's very hard to find the initial vector

0:15:12.040 --> 0:15:15.840
<v Speaker 8>of how they originally got into that network. And you know,

0:15:15.960 --> 0:15:19.400
<v Speaker 8>simply if they got in more than a year ago,

0:15:19.520 --> 0:15:22.640
<v Speaker 8>the chances are high that there's not even logs that

0:15:22.760 --> 0:15:25.880
<v Speaker 8>hold that type of log retention for over a year.

0:15:26.080 --> 0:15:27.800
<v Speaker 4>That's let's start there. That's how we.

0:15:27.720 --> 0:15:30.920
<v Speaker 8>Don't know when they actually got in in the first place.

0:15:31.240 --> 0:15:34.400
<v Speaker 8>The second part of that problem is most of these

0:15:34.440 --> 0:15:37.920
<v Speaker 8>network devices don't have like a sort of you know,

0:15:38.920 --> 0:15:41.640
<v Speaker 8>detection and response that we can actually see. There's no

0:15:42.000 --> 0:15:45.680
<v Speaker 8>EDR in these network devices, so we can't actually see

0:15:45.720 --> 0:15:50.000
<v Speaker 8>this malicious activity. We don't necessarily see this telemetry as

0:15:50.040 --> 0:15:53.560
<v Speaker 8>they're conducting this ladder movement. I mean, theoretically we should,

0:15:53.600 --> 0:15:55.800
<v Speaker 8>and at some point F five did, but that was

0:15:55.840 --> 0:15:58.840
<v Speaker 8>as late as August of this year, and they were

0:15:58.880 --> 0:16:03.080
<v Speaker 8>directed for national security concerns to keep it quiet until

0:16:03.120 --> 0:16:06.680
<v Speaker 8>they could release this information in their SEC filing.

0:16:08.280 --> 0:16:11.720
<v Speaker 3>You are making it clear to our audience how critical

0:16:11.760 --> 0:16:13.960
<v Speaker 3>this is. But when we all go home and sit

0:16:13.960 --> 0:16:15.920
<v Speaker 3>around our dinner tables, I don't feel like this is

0:16:15.960 --> 0:16:18.040
<v Speaker 3>becoming the top of conversation that perhaps it should be

0:16:18.040 --> 0:16:20.720
<v Speaker 3>given the strength of the concerns and anxieties. You make

0:16:20.760 --> 0:16:23.840
<v Speaker 3>clear what is it that ends up affecting the consumer

0:16:24.000 --> 0:16:25.880
<v Speaker 3>or more written large in this circumstance.

0:16:27.160 --> 0:16:29.880
<v Speaker 8>The fact of the matter is, especially from a consumer perspective,

0:16:30.040 --> 0:16:33.520
<v Speaker 8>we don't always feel like paying for cybersecurity. We think

0:16:33.560 --> 0:16:35.640
<v Speaker 8>it should be built in rather than bolted on. From

0:16:35.680 --> 0:16:39.360
<v Speaker 8>a consumer perspective, enterprises are more used to this notion

0:16:39.600 --> 0:16:41.840
<v Speaker 8>that you know, it's like a never done thing that

0:16:41.880 --> 0:16:44.240
<v Speaker 8>we continuously need to improve, that it's a rint and

0:16:44.280 --> 0:16:48.960
<v Speaker 8>repeat like action. But we still expect more and better

0:16:49.240 --> 0:16:52.560
<v Speaker 8>from cybersecurity vendors, from people who are comfortable in this space.

0:16:52.840 --> 0:16:56.320
<v Speaker 8>But frankly, if you are really successful with your software

0:16:56.360 --> 0:17:00.240
<v Speaker 8>and hardware, you should expect that Nation States it will

0:17:00.320 --> 0:17:04.200
<v Speaker 8>target you for some type of supply chain compromise. It's

0:17:04.200 --> 0:17:07.760
<v Speaker 8>almost inevitable. It's because of that very success that your

0:17:07.800 --> 0:17:11.520
<v Speaker 8>reputation and your network and information systems are critically at risk.

0:17:11.520 --> 0:17:13.960
<v Speaker 3>And particularly in the world of AI, where ever more

0:17:14.000 --> 0:17:17.920
<v Speaker 3>sophisticated attacks are happening and written large at such pace, John,

0:17:17.960 --> 0:17:19.760
<v Speaker 3>this is where your company comes in and I'm so

0:17:19.840 --> 0:17:22.440
<v Speaker 3>interested in ILE and what you're currently building because you're

0:17:22.440 --> 0:17:26.080
<v Speaker 3>saying it's the first AI native cyber reasoning system. Can

0:17:26.119 --> 0:17:28.520
<v Speaker 3>you talk us through exactly how it works differently from others.

0:17:29.440 --> 0:17:29.680
<v Speaker 4>Yes.

0:17:30.080 --> 0:17:32.399
<v Speaker 8>So we are in ED, which means that everything we

0:17:32.480 --> 0:17:35.480
<v Speaker 8>do starts from an AI first principle. And one of

0:17:35.480 --> 0:17:39.520
<v Speaker 8>the most tenacious problems we have in cybersecurity is this

0:17:39.640 --> 0:17:43.280
<v Speaker 8>ability to both find the right set of vulnerabilities and

0:17:43.320 --> 0:17:46.600
<v Speaker 8>then remediate them quickly. So what we do at ILE

0:17:46.720 --> 0:17:50.160
<v Speaker 8>is exactly that we have an analyzer that actually looks

0:17:50.200 --> 0:17:53.480
<v Speaker 8>to find those vulnerabilities that truly matter, not just small,

0:17:53.520 --> 0:17:57.560
<v Speaker 8>low level bugs. And we've proven that with several very

0:17:57.600 --> 0:18:01.919
<v Speaker 8>famous programs that you have online, open source programs. We

0:18:02.080 --> 0:18:07.119
<v Speaker 8>found incredibly critical zero days, We've reported them responsibly to

0:18:07.240 --> 0:18:10.720
<v Speaker 8>the maintainers of these open source projects, and they have

0:18:10.880 --> 0:18:13.800
<v Speaker 8>fixed them. And what we've really been trying to do

0:18:14.160 --> 0:18:17.280
<v Speaker 8>is make sure that we are not just showing, hey,

0:18:17.320 --> 0:18:21.119
<v Speaker 8>this stuff is broken, but allowing customers to actually be

0:18:21.160 --> 0:18:24.840
<v Speaker 8>able to remediate those incredibly quickly, at superhuman speed. And

0:18:24.920 --> 0:18:27.239
<v Speaker 8>that has to be how we work because you can

0:18:27.280 --> 0:18:29.800
<v Speaker 8>bet your botom dollar that the attackers are using AI

0:18:30.800 --> 0:18:33.400
<v Speaker 8>now we need to make sure that the defenders are too.

0:18:33.880 --> 0:18:35.879
<v Speaker 8>And this is something that really we haven't been doing

0:18:35.960 --> 0:18:38.359
<v Speaker 8>in this way for so long, and this kind of

0:18:38.720 --> 0:18:42.480
<v Speaker 8>static basis that we've had is no longer suitable for

0:18:42.560 --> 0:18:44.040
<v Speaker 8>the types of threats that we face.

0:18:44.840 --> 0:18:47.600
<v Speaker 3>Just going to Aisle and who its core customer is

0:18:47.760 --> 0:18:50.760
<v Speaker 3>feels that it's everyone. But all these cyber companies are

0:18:50.760 --> 0:18:51.480
<v Speaker 3>becoming ever.

0:18:51.400 --> 0:18:54.280
<v Speaker 2>More platforms and want to own your.

0:18:54.320 --> 0:18:58.280
<v Speaker 3>Entire ecosystem of cybers So where do you fittinger.

0:18:58.840 --> 0:19:01.520
<v Speaker 8>Well, we start where everything is being built. So if

0:19:01.560 --> 0:19:04.640
<v Speaker 8>you're right now, I feel like every customer that we

0:19:04.680 --> 0:19:07.760
<v Speaker 8>look at is really I mean, it's remarkable, but we

0:19:07.880 --> 0:19:12.199
<v Speaker 8>have changed into a planet that operates on software. So

0:19:12.640 --> 0:19:14.760
<v Speaker 8>everything that we actually look at is a company that's

0:19:14.800 --> 0:19:16.920
<v Speaker 8>using software. So if they build software, if they're having

0:19:16.960 --> 0:19:20.120
<v Speaker 8>someone else build software for them, for their manufacturing process,

0:19:20.119 --> 0:19:23.200
<v Speaker 8>for their supply chain, you know, for those kinds of

0:19:23.680 --> 0:19:27.520
<v Speaker 8>potential customers and design partners, that's where we come in

0:19:27.640 --> 0:19:30.480
<v Speaker 8>and we try to make sure that those supply chain

0:19:30.560 --> 0:19:33.760
<v Speaker 8>vulnerabilities that could impact others downstream as well as their

0:19:33.800 --> 0:19:37.840
<v Speaker 8>own vulnerabilities, that we give them critical knowledge to know

0:19:38.000 --> 0:19:40.280
<v Speaker 8>what is that that's really broken? That you need to

0:19:40.320 --> 0:19:42.520
<v Speaker 8>focus on and how can we get you to a

0:19:42.560 --> 0:19:45.800
<v Speaker 8>place where you have zero vulnerabilities coming in. Most of

0:19:45.840 --> 0:19:51.240
<v Speaker 8>these companies also have rather terrifying backlogs of vulnerabilities that

0:19:51.280 --> 0:19:54.840
<v Speaker 8>they have not fixed, millions in the backlog. And I'm

0:19:54.840 --> 0:19:58.280
<v Speaker 8>telling you, as a CZO of three different publicly listed companies,

0:19:58.359 --> 0:20:01.720
<v Speaker 8>I've had these experiences myself of these tenacious, hard to

0:20:01.760 --> 0:20:04.679
<v Speaker 8>fix vulnerabilities, and I wished for this solution, which is

0:20:04.720 --> 0:20:05.960
<v Speaker 8>why we now built it.

0:20:06.720 --> 0:20:09.760
<v Speaker 3>Well, you've got some phenomenal backers and some phenomenal co

0:20:09.880 --> 0:20:13.560
<v Speaker 3>founders Javalu Coo and Ciso at Aisle. It's great to

0:20:13.600 --> 0:20:15.480
<v Speaker 3>have you back on the show. Have a good weekend

0:20:16.119 --> 0:20:19.800
<v Speaker 3>having out. Apple is finally getting in on the touch

0:20:19.880 --> 0:20:23.359
<v Speaker 3>display game with a revamped MacBook Pro details.

0:20:23.400 --> 0:20:24.600
<v Speaker 2>Next to is the BLUEBG tech.

0:20:31.320 --> 0:20:34.240
<v Speaker 3>Apple and it's planning to launch a revamped MacBook Pro

0:20:34.600 --> 0:20:36.920
<v Speaker 3>with a touch display in late twenty twenty six or

0:20:36.920 --> 0:20:37.880
<v Speaker 3>early twenty twenty seven.

0:20:37.920 --> 0:20:38.959
<v Speaker 2>It's all according to sources.

0:20:39.160 --> 0:20:41.920
<v Speaker 3>The new computers will also have thinner, lighter frames and

0:20:42.000 --> 0:20:43.160
<v Speaker 3>run on Apples, M six.

0:20:43.000 --> 0:20:43.600
<v Speaker 2>Line and chips.

0:20:43.920 --> 0:20:45.359
<v Speaker 3>Let's cut out to the man who, of course has

0:20:45.400 --> 0:20:47.800
<v Speaker 3>been breaking in order down it's Mark German, our consumer

0:20:47.840 --> 0:20:51.800
<v Speaker 3>tech editson Mark. I so often personally try to move

0:20:52.080 --> 0:20:53.639
<v Speaker 3>my MacBook Pro with my hand.

0:20:53.840 --> 0:20:55.080
<v Speaker 2>Finally it'll actually work.

0:20:56.800 --> 0:20:57.600
<v Speaker 4>This is a yes.

0:20:57.680 --> 0:21:00.760
<v Speaker 9>This is a very big deal for Apple. For fifteen

0:21:00.840 --> 0:21:03.760
<v Speaker 9>years or longer, they've been resistant to doing touchscreen macs.

0:21:03.840 --> 0:21:06.960
<v Speaker 9>Why because they sell iPads and they had the sphere

0:21:07.000 --> 0:21:10.280
<v Speaker 9>that the Mac, if it got touched, would cannibalize iPads.

0:21:10.320 --> 0:21:13.000
<v Speaker 9>They also strongly believe that the ergonomics of a touch

0:21:13.000 --> 0:21:16.359
<v Speaker 9>screen computer to quote these jobs were terrible and to

0:21:16.440 --> 0:21:19.840
<v Speaker 9>quote Tim Cook would be like merging a toaster in

0:21:19.880 --> 0:21:23.800
<v Speaker 9>a refrigerator. But the reality is the market has changed.

0:21:24.040 --> 0:21:27.879
<v Speaker 9>Touch screens on PCs are now table stakes. MacBooks are

0:21:27.920 --> 0:21:31.920
<v Speaker 9>out selling iPads. You also have the reality that Apple

0:21:31.960 --> 0:21:35.480
<v Speaker 9>has now combined many of the fundamental technologies between the

0:21:35.480 --> 0:21:38.720
<v Speaker 9>ipen and the Mac. They both run the same processors, now,

0:21:39.040 --> 0:21:42.040
<v Speaker 9>they both run the same user interfaces. They both have

0:21:42.119 --> 0:21:45.720
<v Speaker 9>a shared app ecosystem because of Apple's new App Store,

0:21:45.760 --> 0:21:49.280
<v Speaker 9>where they've merged the applications across iOS and mac os.

0:21:49.720 --> 0:21:53.639
<v Speaker 9>So there's so many similarities. Now consumers are desperate for

0:21:53.760 --> 0:21:56.119
<v Speaker 9>touch and so they finally are doing it, and they

0:21:56.160 --> 0:21:58.560
<v Speaker 9>think they can bring the Mac more upmarket by doing so.

0:21:59.160 --> 0:22:01.160
<v Speaker 2>We're desperate to make toast and our refrigerators.

0:22:01.200 --> 0:22:03.639
<v Speaker 3>That's okay, Map, but I'm also interested that we're all

0:22:03.680 --> 0:22:06.359
<v Speaker 3>desperate to consume more sport on Apple TV, just quickly

0:22:06.400 --> 0:22:08.320
<v Speaker 3>on F one. It's been a long time in the making.

0:22:09.880 --> 0:22:11.399
<v Speaker 9>Yeah, you know, F one is interesting. There are a

0:22:11.400 --> 0:22:14.439
<v Speaker 9>lot of fans, specifically overseas. Apple is now bringing F

0:22:14.520 --> 0:22:17.080
<v Speaker 9>one in a big way to the United States. This

0:22:17.119 --> 0:22:19.760
<v Speaker 9>is going to make the Apple TV not Plus now

0:22:19.840 --> 0:22:23.399
<v Speaker 9>just Apple TV subscription more valuable. Clearly, there was a

0:22:23.440 --> 0:22:25.720
<v Speaker 9>lot of interest in the F one movie with Brad Pitt.

0:22:26.640 --> 0:22:30.960
<v Speaker 9>Now they're getting more clearly into sports. I'm personally hoping

0:22:31.000 --> 0:22:35.000
<v Speaker 9>they do something about the NBA because it's completely flum mixing.

0:22:35.119 --> 0:22:37.000
<v Speaker 9>How many apps you need to access that now? But

0:22:37.040 --> 0:22:38.120
<v Speaker 9>I guess F one is good for.

0:22:38.080 --> 0:22:40.520
<v Speaker 3>Now we can see your sports fan from over your shoulder,

0:22:40.520 --> 0:22:42.399
<v Speaker 3>Blue most Mark German, It's always great to have you on.

0:22:42.520 --> 0:22:43.359
<v Speaker 2>Thank you so much.

0:22:43.680 --> 0:22:46.359
<v Speaker 3>And now coming up, Oracle Coyle's Wall Street fears over

0:22:46.359 --> 0:22:49.639
<v Speaker 3>its aiprofitability or does it? Why is it sinking off

0:22:49.680 --> 0:23:03.200
<v Speaker 3>by almost eight percent? This is bluembg tech as welcome

0:23:03.200 --> 0:23:04.560
<v Speaker 3>back to Bloomberg Tech.

0:23:04.400 --> 0:23:05.560
<v Speaker 2>Let's take quick check on these.

0:23:05.480 --> 0:23:09.320
<v Speaker 3>Markets, because maybe we've had some nerves soothed a little bit.

0:23:09.520 --> 0:23:11.040
<v Speaker 3>We are off on the day by three tenths of

0:23:11.080 --> 0:23:13.560
<v Speaker 3>a percent, bouncing off some of our lows as we

0:23:13.640 --> 0:23:16.439
<v Speaker 3>try to steady the reader cross of whether or not

0:23:16.560 --> 0:23:19.080
<v Speaker 3>Jijingping and President Trump will indeed meet in the next

0:23:19.160 --> 0:23:22.120
<v Speaker 3>few weeks and will indeed manage to back away from

0:23:22.160 --> 0:23:24.200
<v Speaker 3>the highest possible towers one hundred and forty five percent.

0:23:24.240 --> 0:23:26.520
<v Speaker 3>We know that President Trump's for two Fox Business saying

0:23:26.920 --> 0:23:29.359
<v Speaker 3>that this would be unsustainable if we did hit that

0:23:29.400 --> 0:23:31.760
<v Speaker 3>sort of a level. We also, though, think about the

0:23:31.840 --> 0:23:33.920
<v Speaker 3>risk and the anxiety in the market. Yes, there's about

0:23:33.960 --> 0:23:37.000
<v Speaker 3>the banks, the particularly the smaller banks and exposure to credit.

0:23:37.240 --> 0:23:39.520
<v Speaker 3>There's also the riskier parts of the market. Bitcoin ist

0:23:39.600 --> 0:23:41.520
<v Speaker 3>us see over the last five days has been under

0:23:41.560 --> 0:23:44.160
<v Speaker 3>some serious pressure. We can see the seller for more

0:23:44.160 --> 0:23:47.240
<v Speaker 3>than seven percent amid that big liquidation that occurred over

0:23:47.280 --> 0:23:48.719
<v Speaker 3>the course of the weekend prior.

0:23:49.240 --> 0:23:50.119
<v Speaker 2>Let's talk about all of this.

0:23:50.200 --> 0:23:53.360
<v Speaker 3>Bloomberg ETFs and Cross Asset reporter Emily Graffeo joins us

0:23:53.640 --> 0:23:56.320
<v Speaker 3>on the more should we say, frothy parts of the

0:23:56.400 --> 0:23:59.240
<v Speaker 3>market are starting to lose a bit of esteem, particularly

0:23:59.240 --> 0:24:01.160
<v Speaker 3>in crypto and old coins in particular.

0:24:01.280 --> 0:24:02.040
<v Speaker 2>That's exactly right.

0:24:02.080 --> 0:24:03.960
<v Speaker 10>You look at what bitcoin's done over the last week,

0:24:03.960 --> 0:24:07.200
<v Speaker 10>it's down about eight percent. Typically, the frothier parts to

0:24:07.240 --> 0:24:10.560
<v Speaker 10>all coins, like doge coin, Polka Dot, those drop more

0:24:11.000 --> 0:24:14.680
<v Speaker 10>than Bitcoin an ether. There's a little bit less liquidity there.

0:24:14.880 --> 0:24:17.400
<v Speaker 10>We see them as more kind of high beta. What's

0:24:17.440 --> 0:24:21.439
<v Speaker 10>interesting now is in the ETF world, issuers are trying

0:24:21.440 --> 0:24:25.560
<v Speaker 10>to package those all coins into ETFs, into products. Given

0:24:25.600 --> 0:24:29.040
<v Speaker 10>the success of black Rocks Bitcoin ETF, they're looking at

0:24:29.080 --> 0:24:33.200
<v Speaker 10>products like a pokea dot ETF, a chain link ETF, Caroline,

0:24:33.240 --> 0:24:36.840
<v Speaker 10>a pengu ETF integral. I don't know if you've heard

0:24:36.880 --> 0:24:40.840
<v Speaker 10>of business okay affiliated with pudgy penguins.

0:24:40.880 --> 0:24:44.080
<v Speaker 3>Who doesn't have a pudgy penguin I mean, and I've

0:24:44.160 --> 0:24:46.040
<v Speaker 3>seen to have its is Zabatov.

0:24:46.240 --> 0:24:46.440
<v Speaker 8>Yeah.

0:24:46.480 --> 0:24:49.400
<v Speaker 10>So we have one hundred and thirty ETF applications right

0:24:49.400 --> 0:24:53.320
<v Speaker 10>now filed with the SEC pending UH listing. So they

0:24:53.320 --> 0:24:55.480
<v Speaker 10>haven't launched yet, but it just speaks to kind of

0:24:55.480 --> 0:24:57.760
<v Speaker 10>that appetite from Wall Street to take these all coins,

0:24:57.960 --> 0:25:00.200
<v Speaker 10>even though they're dropping right now, and put them into.

0:25:00.560 --> 0:25:02.520
<v Speaker 3>I mean We're just looking at the dough ETF, which

0:25:02.520 --> 0:25:04.720
<v Speaker 3>has been under considerable pressure. We've seen a lot of

0:25:04.760 --> 0:25:08.080
<v Speaker 3>these etns happen over in Europe. US maybe the government

0:25:08.080 --> 0:25:11.719
<v Speaker 3>shutdown has put them on polls. But why the sudden

0:25:11.760 --> 0:25:13.760
<v Speaker 3>anxiety in these parts of the market. Is it more

0:25:13.800 --> 0:25:17.000
<v Speaker 3>broadly US China? Is it more the macro fed side.

0:25:17.040 --> 0:25:19.280
<v Speaker 3>Is it gold because gold is being seen as a

0:25:19.280 --> 0:25:20.880
<v Speaker 3>have but digital gold got so much.

0:25:21.040 --> 0:25:23.720
<v Speaker 10>Yeah, that's exactly where a couple sources have pointed to

0:25:23.960 --> 0:25:28.280
<v Speaker 10>potential stresses in the credit market, maybe seeping into the

0:25:28.359 --> 0:25:30.280
<v Speaker 10>frothier risk on parts of the market.

0:25:30.320 --> 0:25:32.680
<v Speaker 2>I mean, what coaches, you mean, right, the cockroaches.

0:25:32.880 --> 0:25:35.440
<v Speaker 10>I think that comment kind of has spread to other

0:25:36.040 --> 0:25:36.760
<v Speaker 10>parts of the market.

0:25:36.760 --> 0:25:39.200
<v Speaker 2>You look at what tech is doing tech stocks right now.

0:25:39.320 --> 0:25:41.639
<v Speaker 10>Typically when we see the Nasdaq one hundred down, we

0:25:41.680 --> 0:25:44.880
<v Speaker 10>do see crypto down even more. But then again, there's

0:25:44.880 --> 0:25:47.240
<v Speaker 10>some days where it does act as a safe haven.

0:25:47.600 --> 0:25:50.840
<v Speaker 10>I would say in this current cycle, crypto's not acting

0:25:50.960 --> 0:25:53.760
<v Speaker 10>as a safe haven. We're seeing it drop further than

0:25:53.760 --> 0:25:57.560
<v Speaker 10>what the traditional tech markets are doing. But you know,

0:25:57.600 --> 0:26:01.000
<v Speaker 10>you look at that dogecoin ETF, the ticker d OJE.

0:26:01.400 --> 0:26:05.119
<v Speaker 10>It's gotten some influence it's actually thirty million dollars in

0:26:05.160 --> 0:26:09.880
<v Speaker 10>AUM for a new ETF, especially for a meme coin ETF.

0:26:10.080 --> 0:26:12.800
<v Speaker 10>It's actually not that bad. There could be some investors

0:26:12.840 --> 0:26:14.600
<v Speaker 10>in the market trying to buy the dip here and

0:26:14.640 --> 0:26:15.560
<v Speaker 10>buy something like this.

0:26:15.720 --> 0:26:17.840
<v Speaker 3>Well, we know those liquidations over ok to tenth and

0:26:17.880 --> 0:26:21.800
<v Speaker 3>eleventh were really painful. In particular binances linked token. BnB

0:26:21.880 --> 0:26:24.000
<v Speaker 3>has been under significant pressure ever since. It seems to

0:26:24.040 --> 0:26:27.040
<v Speaker 3>have been being blamed for some of that big move. Emily,

0:26:27.160 --> 0:26:28.520
<v Speaker 3>great to have you back on the show. Please come

0:26:28.560 --> 0:26:31.080
<v Speaker 3>again soon. Emily Graffeo breaking all down for us.

0:26:31.640 --> 0:26:33.520
<v Speaker 2>But let's pivot a little bit.

0:26:33.400 --> 0:26:35.640
<v Speaker 3>And talk about what's happening over on shares of Oracle,

0:26:35.760 --> 0:26:38.520
<v Speaker 3>because they're also lower. But that's even as the company

0:26:38.520 --> 0:26:40.959
<v Speaker 3>has been saying, Look, it can reach thirty five percent

0:26:41.000 --> 0:26:44.720
<v Speaker 3>gross margins for its large AI infrastructure projects. Why are

0:26:44.760 --> 0:26:48.000
<v Speaker 3>investors skeptical a scope to bloombag Intelligence Senior tech anlis

0:26:48.119 --> 0:26:51.040
<v Speaker 3>Anna Agrana. Look, there was that report from the Information

0:26:51.600 --> 0:26:53.760
<v Speaker 3>that we were worried that basically Oracle wasn't going to

0:26:53.800 --> 0:26:55.640
<v Speaker 3>be making that much money for itself when it gets

0:26:55.680 --> 0:26:57.680
<v Speaker 3>a big three hundred billion dollar contract.

0:26:57.359 --> 0:26:57.960
<v Speaker 2>From open Ai.

0:26:58.280 --> 0:27:01.280
<v Speaker 3>They tried to reassure the market hasn't paid off for

0:27:01.359 --> 0:27:02.600
<v Speaker 3>today it seems.

0:27:03.480 --> 0:27:05.359
<v Speaker 11>You know, I think the big push came on the

0:27:05.400 --> 0:27:08.879
<v Speaker 11>stock when they announced that big RPO number, you know,

0:27:08.920 --> 0:27:11.080
<v Speaker 11>a few weeks ago. So I think you could, you know,

0:27:11.320 --> 0:27:14.040
<v Speaker 11>perhaps say that this is more sell on the news

0:27:14.119 --> 0:27:17.800
<v Speaker 11>kind of you know, information or reaction. But you know

0:27:17.840 --> 0:27:20.000
<v Speaker 11>from our site that thirty five percent is a very

0:27:20.000 --> 0:27:23.119
<v Speaker 11>good number, frankly, because you can go back in the

0:27:23.160 --> 0:27:26.240
<v Speaker 11>history of cloud computing, even in the days of an Amazon,

0:27:26.440 --> 0:27:29.640
<v Speaker 11>you know, web services was formed, getting to a gross

0:27:29.640 --> 0:27:33.080
<v Speaker 11>margin starting off this early, and you know it's not

0:27:33.119 --> 0:27:35.879
<v Speaker 11>a bad thing because over time that number is going

0:27:35.920 --> 0:27:38.040
<v Speaker 11>to grow as you scale up, as you were able

0:27:38.080 --> 0:27:41.280
<v Speaker 11>to do things in a much more effective way. Fourteen

0:27:41.280 --> 0:27:44.359
<v Speaker 11>percent number from that article that you mentioned was concerning,

0:27:44.400 --> 0:27:46.199
<v Speaker 11>and I think these guys did a good job of

0:27:46.240 --> 0:27:48.760
<v Speaker 11>explaining why that's not the case for them, and I

0:27:49.040 --> 0:27:51.720
<v Speaker 11>you know, from our side, I think the profitability aspect

0:27:51.800 --> 0:27:54.439
<v Speaker 11>is fine. They talked about you know, revenue growth of

0:27:54.480 --> 0:27:57.400
<v Speaker 11>thirty percent over the next five year per year and

0:27:57.600 --> 0:28:01.760
<v Speaker 11>earning's growth of twenty eight percent, so only mild you know,

0:28:01.840 --> 0:28:05.280
<v Speaker 11>depression in you could say, EPs growth rate, but at

0:28:05.280 --> 0:28:06.800
<v Speaker 11>the same time, I think it's going to be more

0:28:06.880 --> 0:28:09.480
<v Speaker 11>back end loaded, which is you're not going to see

0:28:09.680 --> 0:28:12.240
<v Speaker 11>you know, you'll see compression over the next two years,

0:28:12.280 --> 0:28:14.320
<v Speaker 11>three years, and then you're going to see a rebound

0:28:14.359 --> 0:28:17.040
<v Speaker 11>from that. So I think that's where you could see

0:28:17.080 --> 0:28:20.000
<v Speaker 11>some disappointment. But from our side, you know what we heard,

0:28:20.040 --> 0:28:22.080
<v Speaker 11>what we like that these guys.

0:28:21.840 --> 0:28:23.399
<v Speaker 2>Said, really like that.

0:28:23.440 --> 0:28:25.080
<v Speaker 3>You've been talking to some of the great elements our

0:28:25.080 --> 0:28:27.359
<v Speaker 3>producers have had ready for us. Talking about that twenty

0:28:27.400 --> 0:28:29.680
<v Speaker 3>thirty goal. But going back to this pie chart that

0:28:29.760 --> 0:28:32.240
<v Speaker 3>really breaks down where it's gross profit comes from. They're

0:28:32.280 --> 0:28:34.840
<v Speaker 3>saying they're going to be having twenty one billion dollars.

0:28:34.880 --> 0:28:37.560
<v Speaker 3>For example, if we took an over that's their thirty

0:28:37.560 --> 0:28:40.440
<v Speaker 3>five percent gross margin for a certain sized contract.

0:28:40.760 --> 0:28:41.600
<v Speaker 2>Can you tell us in.

0:28:41.560 --> 0:28:44.280
<v Speaker 3>The future how they reduce the hardware costs, how they

0:28:44.320 --> 0:28:48.240
<v Speaker 3>reduced the land and power costs just by economies of scale.

0:28:49.200 --> 0:28:51.800
<v Speaker 11>It's a combination of economies of scale and using more

0:28:51.840 --> 0:28:54.800
<v Speaker 11>software to optimize the workloads. That has been the case.

0:28:54.840 --> 0:28:58.040
<v Speaker 11>You know, going back to history of any large infrastructure project,

0:28:58.080 --> 0:29:00.000
<v Speaker 11>you can go back and see that in the same

0:29:00.120 --> 0:29:04.160
<v Speaker 11>way CPU computing happened. Over time, you get better at

0:29:04.200 --> 0:29:07.200
<v Speaker 11>managing these things. On top of that, you add more

0:29:07.360 --> 0:29:10.120
<v Speaker 11>value added services. So when you look at the stack

0:29:10.160 --> 0:29:12.840
<v Speaker 11>of software as a service, platform as a service, or

0:29:12.920 --> 0:29:16.200
<v Speaker 11>infrastructure as a service, you're first giving the infrastructure layer.

0:29:16.320 --> 0:29:18.720
<v Speaker 11>Then you're going to give added services on top of it.

0:29:19.080 --> 0:29:22.120
<v Speaker 11>Those added services have gross margins of seventy eighty percent

0:29:22.280 --> 0:29:25.480
<v Speaker 11>or so. That's usually how cloud providers work. So over

0:29:25.560 --> 0:29:27.880
<v Speaker 11>time you're going to have those things come in. That's

0:29:27.920 --> 0:29:29.760
<v Speaker 11>going to help the gross margins even more.

0:29:29.800 --> 0:29:32.080
<v Speaker 3>When they get those sixty billion dollars in total revenue

0:29:32.080 --> 0:29:34.560
<v Speaker 3>deals for six years. As the theory of that pie

0:29:34.640 --> 0:29:38.040
<v Speaker 3>chart when Anna rag Grana, great breakdown and always great analysis.

0:29:38.040 --> 0:29:41.560
<v Speaker 3>We appreciate you, Blueberg Intelligence. Now let's turn our attention

0:29:41.680 --> 0:29:44.760
<v Speaker 3>to Salesforce. Interestingly, it recently also gave its outlook for

0:29:44.760 --> 0:29:47.080
<v Speaker 3>twenty thirty, but we want to talk about philanthropic part

0:29:47.080 --> 0:29:50.800
<v Speaker 3>of it. Benure capitalist Ron Conway has resigned from Salesforce's

0:29:50.840 --> 0:29:53.840
<v Speaker 3>board following CEO mart Benioff's call for President Trump to

0:29:53.840 --> 0:29:56.880
<v Speaker 3>deploy the National Guard to San Francisco. In an email

0:29:56.920 --> 0:30:00.800
<v Speaker 3>to Benioff and several board members, Conway rights me immensely

0:30:01.000 --> 0:30:03.720
<v Speaker 3>to say that with your recent comments and failure to

0:30:03.840 --> 0:30:04.800
<v Speaker 3>understand their impact.

0:30:04.920 --> 0:30:06.440
<v Speaker 2>I now barely recognize the.

0:30:06.400 --> 0:30:09.800
<v Speaker 3>Person I've so long and mad for more Bloomberg Wealth

0:30:09.800 --> 0:30:13.280
<v Speaker 3>reporter Biz cass and joins us, why is Ron Conway

0:30:13.400 --> 0:30:14.440
<v Speaker 3>such an important voice?

0:30:14.480 --> 0:30:14.800
<v Speaker 2>Hib is.

0:30:16.520 --> 0:30:19.120
<v Speaker 12>Well, Ron Conway and Mark Benioff have worked together for

0:30:19.160 --> 0:30:21.360
<v Speaker 12>a long time. He's been on the board of Salesforce

0:30:21.400 --> 0:30:23.800
<v Speaker 12>Foundation for over ten years, and they're both seen as

0:30:23.840 --> 0:30:26.840
<v Speaker 12>two big benefactors to the city. So for this to

0:30:26.880 --> 0:30:28.880
<v Speaker 12>create a rift between the two, to the point where

0:30:28.960 --> 0:30:32.720
<v Speaker 12>Ron is stepping down from the Salesforce Foundation board saying

0:30:32.720 --> 0:30:35.240
<v Speaker 12>he will no longer work with Benioff is a big

0:30:35.280 --> 0:30:38.400
<v Speaker 12>deal it and it shows that you know, he's not

0:30:38.560 --> 0:30:42.600
<v Speaker 12>standing behind his comments, Benioff's comments to send in the

0:30:42.680 --> 0:30:45.239
<v Speaker 12>National Guard to the city to clean it up.

0:30:45.440 --> 0:30:47.360
<v Speaker 3>I mean, he's not the only voice that have been

0:30:47.360 --> 0:30:51.680
<v Speaker 3>more calling out Mark Benioff for his words in San Francisco,

0:30:51.800 --> 0:30:54.640
<v Speaker 3>and in particular Lon Powell Job seems to have done

0:30:54.720 --> 0:30:58.360
<v Speaker 3>in an article she's penned herself in the Wall Street Journal.

0:30:59.040 --> 0:31:01.800
<v Speaker 3>Just discuss what it is that Mark Benioff what he

0:31:01.840 --> 0:31:04.840
<v Speaker 3>feels here, because some would say, you know, just his

0:31:04.920 --> 0:31:08.480
<v Speaker 3>alignment with Trump shouldn't always cause such riffs with people

0:31:08.520 --> 0:31:09.400
<v Speaker 3>he's known for years.

0:31:10.720 --> 0:31:13.440
<v Speaker 12>Correct, I mean that should not cause this alignment. Benioff

0:31:13.480 --> 0:31:17.080
<v Speaker 12>has literally changed the skyline of San Francisco at the

0:31:17.080 --> 0:31:20.200
<v Speaker 12>Salesforce Tower. His name is on the hospitals here. He

0:31:20.280 --> 0:31:23.080
<v Speaker 12>has done a lot through his philanthropy to change and

0:31:23.160 --> 0:31:26.080
<v Speaker 12>help the city of San Francisco, and so Loreene pell

0:31:26.160 --> 0:31:29.080
<v Speaker 12>Job's criticism was that he should not be expecting things

0:31:29.120 --> 0:31:32.320
<v Speaker 12>though in return for that generosity, when he was asked

0:31:32.320 --> 0:31:35.800
<v Speaker 12>about the National Guard coming to San Francisco, he said,

0:31:35.800 --> 0:31:38.840
<v Speaker 12>if they can be cops, I'm all for it. But

0:31:38.960 --> 0:31:41.920
<v Speaker 12>a lot of people, including Benioff and or including Loreene

0:31:41.920 --> 0:31:45.000
<v Speaker 12>pell Jobs and Conway, don't believe that. Because he has

0:31:45.040 --> 0:31:47.680
<v Speaker 12>been a philanthropist means he doesn't get to dictate what

0:31:47.840 --> 0:31:50.760
<v Speaker 12>happens in the city, especially when he's no longer living

0:31:50.800 --> 0:31:54.000
<v Speaker 12>here and the company is here, but he's in Hawaii

0:31:54.000 --> 0:31:54.600
<v Speaker 12>these days.

0:31:54.800 --> 0:31:56.959
<v Speaker 3>As Rong Honway put it, san Francisco does not need

0:31:57.000 --> 0:31:59.080
<v Speaker 3>a federal invasion because you don't like paying for extra

0:31:59.120 --> 0:32:03.320
<v Speaker 3>security for dream Biscrson, it's an extraordinary story. Thanks for

0:32:03.360 --> 0:32:06.480
<v Speaker 3>bringing it to us. Now coming up, we're going to

0:32:06.520 --> 0:32:09.280
<v Speaker 3>be speaking with Seth Rosenberg of Greylock Partners on the

0:32:09.280 --> 0:32:11.920
<v Speaker 3>impact of AI in the fintech space and so much more.

0:32:12.360 --> 0:32:23.760
<v Speaker 3>This is Blomberg Tech. Take a look as shares of

0:32:23.800 --> 0:32:27.280
<v Speaker 3>American Express look. The company reported third quarter earnings that

0:32:27.360 --> 0:32:30.640
<v Speaker 3>be destomers, buoyed by the strong cards spending and recently

0:32:30.640 --> 0:32:33.760
<v Speaker 3>refreshed Platinum Card. The results come as rising rates and

0:32:33.840 --> 0:32:36.280
<v Speaker 3>high delinquencies across the industry I fueled some concerns about

0:32:36.320 --> 0:32:38.719
<v Speaker 3>credit quality, but look cosd Squerry.

0:32:38.840 --> 0:32:39.880
<v Speaker 2>I spoke with him earlier.

0:32:40.080 --> 0:32:42.600
<v Speaker 3>He told me there's a lot of concern about credit

0:32:42.640 --> 0:32:46.480
<v Speaker 3>in the markets, but ours continues to be pristine. And

0:32:46.520 --> 0:32:49.840
<v Speaker 3>look beyond the earnings, American Express is also leaning into

0:32:49.920 --> 0:32:52.840
<v Speaker 3>your guests to artificial intelligence, rolling out new tools features

0:32:52.840 --> 0:32:54.080
<v Speaker 3>both the customers.

0:32:53.600 --> 0:32:54.480
<v Speaker 2>And within the company.

0:32:54.640 --> 0:32:57.520
<v Speaker 3>Scurry told me, look, we're getting there just like everyone else.

0:32:57.560 --> 0:32:59.800
<v Speaker 3>We are rolling out the tools and the training for us.

0:33:00.360 --> 0:33:04.000
<v Speaker 3>I think it'll be an accelerant to growth. Here to

0:33:04.040 --> 0:33:07.560
<v Speaker 3>discuss how AI is reshaping the fintech landscape in particular,

0:33:07.680 --> 0:33:10.760
<v Speaker 3>not just big players like Ames Seth Rosenberg partner at

0:33:10.800 --> 0:33:13.840
<v Speaker 3>Greylock Partners, and you have some stellar.

0:33:13.680 --> 0:33:15.400
<v Speaker 2>Companies in the portfolio.

0:33:15.720 --> 0:33:18.280
<v Speaker 3>We've also seen fintech on a tear until the government

0:33:18.280 --> 0:33:21.680
<v Speaker 3>shutdown with Klana and Chime coming to the market, So

0:33:21.960 --> 0:33:25.200
<v Speaker 3>how much is artifician intelligence what companies need to infuse

0:33:25.240 --> 0:33:26.320
<v Speaker 3>within themselves right now?

0:33:26.880 --> 0:33:28.400
<v Speaker 4>Yeah, well, first of all, thanks for having me.

0:33:30.000 --> 0:33:32.280
<v Speaker 13>I think financial services is one of actually the most

0:33:32.280 --> 0:33:35.360
<v Speaker 13>interesting verticals for AI. First of all, if you just

0:33:35.480 --> 0:33:38.160
<v Speaker 13>look at the size of the industry right financial service

0:33:38.200 --> 0:33:40.640
<v Speaker 13>is about twenty five percent of the economy, about seventeen

0:33:40.720 --> 0:33:44.040
<v Speaker 13>trillion dollars of aggregate market cap. And then second, if

0:33:44.040 --> 0:33:46.680
<v Speaker 13>you look at just the amount of both structured and

0:33:46.760 --> 0:33:49.440
<v Speaker 13>unstructured data that you have to work with that is

0:33:49.480 --> 0:33:52.440
<v Speaker 13>currently not being used in the industry. If you think

0:33:52.480 --> 0:33:57.240
<v Speaker 13>about receipt data, bank statement data, ten k's, ten q's,

0:33:57.280 --> 0:33:59.880
<v Speaker 13>earnings calls, there's all of this data that's currently not

0:34:00.080 --> 0:34:02.200
<v Speaker 13>being used in an optimal way. And then I think

0:34:02.200 --> 0:34:05.000
<v Speaker 13>the last thing is if you think about the incremental

0:34:05.040 --> 0:34:08.480
<v Speaker 13>economic value of making slightly better decisions with that value

0:34:08.760 --> 0:34:12.640
<v Speaker 13>with that data, whether it's making investments decisions, making underwriting

0:34:12.680 --> 0:34:14.200
<v Speaker 13>decisions for credit or for fraud.

0:34:14.560 --> 0:34:17.000
<v Speaker 4>And so yeah, at Greylock.

0:34:16.960 --> 0:34:20.680
<v Speaker 13>We're very optimistic about the opportunity for AI in financial services.

0:34:20.800 --> 0:34:23.319
<v Speaker 3>It's interesting that at the moment we come off a

0:34:23.320 --> 0:34:26.359
<v Speaker 3>week where there has been anxiety fueled into the.

0:34:26.320 --> 0:34:27.439
<v Speaker 2>Public parts of the market.

0:34:27.520 --> 0:34:30.040
<v Speaker 3>Right now, we're worried about community banks and their exposure

0:34:30.080 --> 0:34:32.680
<v Speaker 3>to credit risk and Jamie Diamond and JP Morgan talking

0:34:32.680 --> 0:34:36.480
<v Speaker 3>about cockroaches. When we've suddenly seen some key companies roll

0:34:36.520 --> 0:34:38.719
<v Speaker 3>over with exposure to auto loans and they're like, will

0:34:38.960 --> 0:34:40.799
<v Speaker 3>I feed that out?

0:34:41.160 --> 0:34:43.160
<v Speaker 13>I feel like that's the story of the economy in general.

0:34:43.280 --> 0:34:45.440
<v Speaker 13>There's a lot of risks underlying. And then everyone's very

0:34:45.480 --> 0:34:48.680
<v Speaker 13>excited about AI, right, and so we're focused a little

0:34:48.680 --> 0:34:51.480
<v Speaker 13>bit more on the early stage software side, and the

0:34:51.520 --> 0:34:55.040
<v Speaker 13>opportunity that we see is we're moving from a world

0:34:55.280 --> 0:34:59.560
<v Speaker 13>where software is maybe you know, one to two percent

0:34:59.600 --> 0:35:01.640
<v Speaker 13>of the over all budget of a company, maybeer point

0:35:01.760 --> 0:35:05.240
<v Speaker 13>seven percent of the GDP represents software spend.

0:35:05.680 --> 0:35:07.880
<v Speaker 4>We're moving from capabilities.

0:35:07.200 --> 0:35:10.760
<v Speaker 13>Where software is just a tool where people can enter data,

0:35:11.160 --> 0:35:14.760
<v Speaker 13>to software is actually capable of completing end to end work.

0:35:15.000 --> 0:35:17.759
<v Speaker 4>So if you just take any subset sub segment.

0:35:17.400 --> 0:35:20.800
<v Speaker 13>Within financial services, take accounting for example, you have maybe

0:35:20.880 --> 0:35:23.680
<v Speaker 13>one and a half billion dollars spent today on accounting software,

0:35:24.040 --> 0:35:26.280
<v Speaker 13>and you have one hundred and forty billion dollars spent

0:35:26.680 --> 0:35:29.080
<v Speaker 13>on bookkeepers and accountants that are actually.

0:35:28.880 --> 0:35:29.520
<v Speaker 4>Doing the work.

0:35:29.880 --> 0:35:31.879
<v Speaker 13>And we believe that gap is actually going to narrow

0:35:31.920 --> 0:35:35.480
<v Speaker 13>significantly because AI and software is now actually capable of

0:35:35.480 --> 0:35:38.320
<v Speaker 13>completing end to end work. And that is just one example,

0:35:38.360 --> 0:35:41.040
<v Speaker 13>but if you take every piece of the services side

0:35:41.080 --> 0:35:43.799
<v Speaker 13>of financial services, that's kind of the trend that we're

0:35:43.840 --> 0:35:44.480
<v Speaker 13>paying attention to it.

0:35:44.560 --> 0:35:47.360
<v Speaker 3>But for those services to be so impactful and so

0:35:47.480 --> 0:35:50.879
<v Speaker 3>productive has to be the infusion of general generatorve AI.

0:35:51.640 --> 0:35:52.640
<v Speaker 2>That has to be correct.

0:35:52.719 --> 0:35:54.879
<v Speaker 3>If we're talking about making sure that the cockroaches aren't

0:35:54.880 --> 0:35:57.720
<v Speaker 3>creeping in, and so how our company is in stress

0:35:57.760 --> 0:36:02.760
<v Speaker 3>testing ensuring that the the advances they're making on't having

0:36:03.080 --> 0:36:05.239
<v Speaker 3>unknown consequences to the companies they've taken on.

0:36:05.480 --> 0:36:06.320
<v Speaker 4>That's a great question.

0:36:06.640 --> 0:36:09.239
<v Speaker 13>And the first thing that we think about is you're

0:36:09.239 --> 0:36:13.440
<v Speaker 13>not comparing yourself against perfection. You're comparing yourself so against humans,

0:36:13.640 --> 0:36:16.600
<v Speaker 13>and unfortunately humans are also not perfect. Right, And so

0:36:16.640 --> 0:36:18.960
<v Speaker 13>if you take compliance as one example, right, this is

0:36:19.000 --> 0:36:21.799
<v Speaker 13>a huge cost center for banks. Right, if you take

0:36:21.880 --> 0:36:24.280
<v Speaker 13>one of the large Tier one banks, they can spend

0:36:24.440 --> 0:36:28.560
<v Speaker 13>upwards of three to four hundred million dollars on compliance analysts.

0:36:28.800 --> 0:36:31.000
<v Speaker 13>And the problem is they're spending three to four hundred

0:36:31.040 --> 0:36:34.839
<v Speaker 13>million dollars for terrible outcomes. Right, We're still seeing three

0:36:34.840 --> 0:36:38.120
<v Speaker 13>to five billion dollars a year in compliance fines. We're

0:36:38.160 --> 0:36:41.680
<v Speaker 13>still seeing very slow customer onboarding. We're still seeing very

0:36:41.719 --> 0:36:44.840
<v Speaker 13>inconsistent results. And so, for example, one of the companies

0:36:44.880 --> 0:36:46.879
<v Speaker 13>that we invest in at Greylock is called green Light.

0:36:47.320 --> 0:36:51.080
<v Speaker 13>They use AI to basically automate this compliance workflow, and

0:36:51.400 --> 0:36:55.480
<v Speaker 13>if people are concerned initially about accuracy, they basically use

0:36:55.520 --> 0:36:57.719
<v Speaker 13>a human in the loop system. Right, So they have

0:36:57.840 --> 0:37:00.799
<v Speaker 13>green Light basically automate a lot of the work that

0:37:00.960 --> 0:37:03.279
<v Speaker 13>L one analysts do, and then you still have L

0:37:03.320 --> 0:37:05.919
<v Speaker 13>two and L three analysts checking the work and signing off.

0:37:06.800 --> 0:37:09.879
<v Speaker 3>When you're thinking about investing in a green Light, there's

0:37:09.880 --> 0:37:11.840
<v Speaker 3>also another green Light that my family uses when it

0:37:11.840 --> 0:37:12.799
<v Speaker 3>comes to saving.

0:37:12.480 --> 0:37:14.840
<v Speaker 2>For small children and their literacy.

0:37:15.600 --> 0:37:17.480
<v Speaker 3>You are starting to see these companies looking for the

0:37:17.480 --> 0:37:20.959
<v Speaker 3>public markets themselves. How is your portfolio looking at aging

0:37:20.960 --> 0:37:24.320
<v Speaker 3>out when you're writing into the smaller, earliest stage companies.

0:37:24.560 --> 0:37:26.800
<v Speaker 3>Are they seeing a ray of light by what's happened

0:37:26.800 --> 0:37:27.560
<v Speaker 3>with colonnor on Chime.

0:37:27.560 --> 0:37:29.319
<v Speaker 2>Even though we seem simple hotel training.

0:37:29.640 --> 0:37:33.320
<v Speaker 13>Yes, I mean we were fortunate to be early investors

0:37:33.360 --> 0:37:37.040
<v Speaker 13>in Coinbase, which is one of the public fintech companies

0:37:37.080 --> 0:37:42.200
<v Speaker 13>in our portfolio. And yeah, I think what's interesting about

0:37:42.239 --> 0:37:45.840
<v Speaker 13>the public market opportunity for fintech is there's just a

0:37:45.880 --> 0:37:47.160
<v Speaker 13>supply and demand imbalance.

0:37:47.320 --> 0:37:47.440
<v Speaker 12>Right.

0:37:47.440 --> 0:37:51.880
<v Speaker 13>If you look at the seventeen trillion dollars of market

0:37:51.880 --> 0:37:55.440
<v Speaker 13>cap and financial services, a very small percentage of that

0:37:55.560 --> 0:37:58.759
<v Speaker 13>is currently represented by fintech companies that are available for

0:37:58.840 --> 0:38:01.919
<v Speaker 13>public market investors. And so I think there's a very

0:38:01.920 --> 0:38:07.080
<v Speaker 13>interesting pipeline of really high performing and valuable late stage privates,

0:38:07.120 --> 0:38:11.320
<v Speaker 13>including Ramp in our portfolio, you know, Revolue, twelfth Simple

0:38:11.440 --> 0:38:14.000
<v Speaker 13>in our portfolio, as as well as companies like Stripe

0:38:14.000 --> 0:38:15.440
<v Speaker 13>that everyone knows what.

0:38:15.480 --> 0:38:18.120
<v Speaker 3>About M and A because I know Ce Square he's

0:38:18.160 --> 0:38:19.879
<v Speaker 3>been buying up certain FinTechs as well.

0:38:20.880 --> 0:38:23.720
<v Speaker 13>I think I think the theme, like in all areas

0:38:23.719 --> 0:38:25.440
<v Speaker 13>of the economy, is going to be AI and so

0:38:25.560 --> 0:38:28.880
<v Speaker 13>I think if larger companies don't have an AI native strategy,

0:38:28.880 --> 0:38:31.920
<v Speaker 13>they're going to be looking for for M and A opportunities.

0:38:32.080 --> 0:38:34.080
<v Speaker 3>Seth Rosenberg. Great to have you on the show. Thanks

0:38:34.160 --> 0:38:37.759
<v Speaker 3>today your expertise from Graylock Partners. We thank you now look.

0:38:37.840 --> 0:38:40.880
<v Speaker 3>Chinese e commerce John ali Baba is hoping AI can

0:38:40.920 --> 0:38:44.040
<v Speaker 3>to help boost sales and customer engagement too. Kaifud jam Is,

0:38:44.120 --> 0:38:46.000
<v Speaker 3>vice president of Ali Baba Group, sat down with Blue

0:38:46.040 --> 0:38:50.000
<v Speaker 3>Meg's minman Loo for details on the platform's revamp search feature.

0:38:51.239 --> 0:38:56.160
<v Speaker 14>We actually did a very substantial rework over our search

0:38:56.200 --> 0:38:59.720
<v Speaker 14>and recommendation this year, starting with our two billion product

0:38:59.800 --> 0:39:02.200
<v Speaker 14>leads right, because we have really one of the biggest

0:39:02.280 --> 0:39:05.480
<v Speaker 14>product category in the world, which is two billing straw

0:39:05.800 --> 0:39:09.040
<v Speaker 14>and we actually used AI and large language model to

0:39:09.160 --> 0:39:13.280
<v Speaker 14>rework that underlying product catalog. We enrich the product content

0:39:13.600 --> 0:39:17.200
<v Speaker 14>when it also reindexed the entire product catalog, which is

0:39:17.200 --> 0:39:19.680
<v Speaker 14>a foundation for the search engine. And you can ask

0:39:19.719 --> 0:39:22.319
<v Speaker 14>our search engine and what is the best gift for

0:39:22.400 --> 0:39:25.319
<v Speaker 14>someone who's really stressed out in high school and he's

0:39:25.400 --> 0:39:28.919
<v Speaker 14>hiving headaches for example, right, and AI will be able

0:39:28.960 --> 0:39:34.800
<v Speaker 14>to comprehend your under your semantic query and to analyze

0:39:34.840 --> 0:39:39.120
<v Speaker 14>your underlying need and give your recommendation of the right products.

0:39:39.280 --> 0:39:42.840
<v Speaker 14>So this was not possible in a simplistic search engine

0:39:42.880 --> 0:39:45.759
<v Speaker 14>where you have to tell the search a product name

0:39:46.160 --> 0:39:48.160
<v Speaker 14>and it's going to give you that particular product.

0:39:48.320 --> 0:39:51.239
<v Speaker 15>So you mentioned twenty percent increase in product relevance. So

0:39:51.320 --> 0:39:55.319
<v Speaker 15>does that mean we can expect very robust numbers from

0:39:55.360 --> 0:39:56.880
<v Speaker 15>this year? Is November eleventh sales?

0:39:56.880 --> 0:39:59.920
<v Speaker 14>So a twenty percent is sentially be a very large number, right,

0:40:00.040 --> 0:40:02.840
<v Speaker 14>because I mean we operate a very mature tax stack.

0:40:02.880 --> 0:40:06.239
<v Speaker 14>I mean this technology stack has been optimized a year

0:40:06.320 --> 0:40:09.240
<v Speaker 14>over year for many years. So you don't often see

0:40:09.440 --> 0:40:12.400
<v Speaker 14>twenty percent lift in a bit testing, but we are

0:40:12.440 --> 0:40:16.879
<v Speaker 14>able to achieve that with large language model. Of course

0:40:16.920 --> 0:40:20.000
<v Speaker 14>there are modifiers. Right, that's twenty percent increase in relevance

0:40:20.400 --> 0:40:23.879
<v Speaker 14>when the consumers qurees semantically complex right.

0:40:24.320 --> 0:40:25.640
<v Speaker 15>How much is the conversion rate?

0:40:25.719 --> 0:40:25.879
<v Speaker 12>Though?

0:40:26.360 --> 0:40:30.960
<v Speaker 14>So if you have a twenty percent uplift in relevance,

0:40:31.239 --> 0:40:34.239
<v Speaker 14>the conversion rate improvement is also quite significant. We are

0:40:34.280 --> 0:40:37.520
<v Speaker 14>able to achieve a ten percent improvement in or click

0:40:37.600 --> 0:40:40.560
<v Speaker 14>through by using a large language model to give the

0:40:40.560 --> 0:40:42.640
<v Speaker 14>consumer more positive surprises.

0:40:42.920 --> 0:40:43.040
<v Speaker 12>Right.

0:40:43.080 --> 0:40:44.560
<v Speaker 2>The idea is that, I mean.

0:40:44.480 --> 0:40:51.440
<v Speaker 14>The consumers have a lot of product browsing and click preferences,

0:40:51.600 --> 0:40:54.640
<v Speaker 14>but sometimes you want to see new products. You want

0:40:54.680 --> 0:40:57.920
<v Speaker 14>to see something that you've never expressed any interesting, Right,

0:40:58.120 --> 0:41:01.160
<v Speaker 14>And that was kind of hard architect.

0:41:01.000 --> 0:41:02.839
<v Speaker 15>So how much is the cost savings that you are

0:41:02.880 --> 0:41:04.960
<v Speaker 15>able to help your merchants achieve with AI.

0:41:05.360 --> 0:41:08.680
<v Speaker 14>Yeah, so, because we are providing a very comprehensive suit

0:41:08.719 --> 0:41:11.880
<v Speaker 14>of tools for the for our merchants, including content generation,

0:41:12.280 --> 0:41:16.040
<v Speaker 14>including customer service, including marketing, and all these other use cases.

0:41:16.160 --> 0:41:17.040
<v Speaker 2>But I'll just I'll just.

0:41:17.080 --> 0:41:20.839
<v Speaker 14>Give you one example. So in AI customer service, you know,

0:41:20.880 --> 0:41:24.240
<v Speaker 14>like Chadboat, we provide our merchants and the cost saving

0:41:24.320 --> 0:41:26.440
<v Speaker 14>is actually twenty million Chinese per day.

0:41:26.680 --> 0:41:27.600
<v Speaker 4>Your CEO did.

0:41:27.520 --> 0:41:30.680
<v Speaker 15>Mention that Alibaba is planning to increase CAPEX spending beyond

0:41:30.680 --> 0:41:33.840
<v Speaker 15>the three hundred and eighty billion un that was previously pledged.

0:41:34.239 --> 0:41:36.000
<v Speaker 15>Do you have a concrete number to share in terms

0:41:36.000 --> 0:41:37.320
<v Speaker 15>of how much more investment it is?

0:41:37.520 --> 0:41:40.000
<v Speaker 14>So obviously I'm not the right person to answer that question,

0:41:40.840 --> 0:41:44.480
<v Speaker 14>but i'm you know, but I'm on application, and what

0:41:44.560 --> 0:41:46.560
<v Speaker 14>I can tell you is that the actual number of

0:41:46.680 --> 0:41:49.120
<v Speaker 14>usage in terms of you know, the AI inference and

0:41:49.160 --> 0:41:51.239
<v Speaker 14>tokens is actually growing pretty.

0:41:50.920 --> 0:41:55.200
<v Speaker 3>Fast, if you John Ali Babak, vice president there now.

0:41:55.280 --> 0:41:58.880
<v Speaker 3>Camer Con is dubbed China's Nvidia by retail investors. It

0:41:58.920 --> 0:42:02.560
<v Speaker 3>reported a fourteen fold surge in quarterly revenue, one of

0:42:02.560 --> 0:42:05.400
<v Speaker 3>the starkest signs yet of how China's chip makers are

0:42:05.440 --> 0:42:08.320
<v Speaker 3>benefiting from a national drive to replace restricted in video

0:42:08.320 --> 0:42:10.719
<v Speaker 3>gear as part of a domestic AI development boon. Now,

0:42:10.719 --> 0:42:13.640
<v Speaker 3>the company swung between net profit of seventy nine point

0:42:13.680 --> 0:42:15.560
<v Speaker 3>six million dollars in the September quarter two.

0:42:15.600 --> 0:42:17.520
<v Speaker 2>Look it's not quite the tens of billions.

0:42:17.120 --> 0:42:19.319
<v Speaker 3>And in videos making, but it is compared to a

0:42:19.360 --> 0:42:22.080
<v Speaker 3>net loss of twenty seven million dollars a year ago,

0:42:22.320 --> 0:42:23.560
<v Speaker 3>according to a filing on the.

0:42:23.480 --> 0:42:24.759
<v Speaker 2>Shanghai Stock Exchange.

0:42:25.000 --> 0:42:27.400
<v Speaker 3>And coming up meta, it's set to seal a thirty

0:42:27.400 --> 0:42:29.880
<v Speaker 3>billion dollar financing package for a data center site in

0:42:29.920 --> 0:42:30.759
<v Speaker 3>rural Louisiana.

0:42:30.840 --> 0:42:32.799
<v Speaker 2>More next the supremebg Tech