WEBVTT - Tesla Sales Fall in Europe, US Drone Makers Take on China

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<v Speaker 1>From the heart of where innovation, money and power collide

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<v Speaker 1>in Silicon Valley and beyond. This is Bloomberg Technology with

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<v Speaker 1>Caroline Hide and Ed Ludlow.

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<v Speaker 2>Live from New York.

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<v Speaker 3>I'm Caroline Hyde, and this is BlueBag Technology coming up

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<v Speaker 3>tes the sales slump forty percent in Europe, having fallen

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<v Speaker 3>in ten of the last twelve months. We get the analysis,

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<v Speaker 3>plus foreign officials and tech execs push Trump's administration to

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<v Speaker 3>rethink the US's global chip strategy and export limits.

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<v Speaker 4>This is the debate.

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<v Speaker 3>OURAI regulation heats up, and Ali Baba chairman Joe Side

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<v Speaker 3>criticizes US tech giants for their massive spending on AI

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<v Speaker 3>infrastructure and warns of a potential bubble in data center construction.

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<v Speaker 3>We shine a light what's happening in the markets, bring

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<v Speaker 3>you also breaking news as well as we understand that

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<v Speaker 3>Russia is currently in the US saying that Russia agrees

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<v Speaker 3>to ban on striking Ukraine energy assets. That was, of

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<v Speaker 3>course something that had been discussed in the previous end

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<v Speaker 3>of the show, but we are seeing of course the

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<v Speaker 3>United States coming out there and saying indeed that Russia

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<v Speaker 3>agrees to a ban on the striking of Ukrainian energy assets.

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<v Speaker 3>Will bring you more on that story in a moment

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<v Speaker 3>and the implications to the broader market. But right here,

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<v Speaker 3>right now, we go back to what's happening in the

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<v Speaker 3>tech space. I'm looking at US that currently off about

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<v Speaker 3>five tens percent after yesterday's significant rally. I want to

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<v Speaker 3>drill into some of the individual companies that have been

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<v Speaker 3>on the move as well, and interestingly, after the phenomenal

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<v Speaker 3>rally that we saw in Tesla yesterday, it's off by

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<v Speaker 3>only about two tents of percent. That's in the light

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<v Speaker 3>of that significant drop once again in European sales that

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<v Speaker 3>are down forty percent from the month of February after

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<v Speaker 3>performing a similar amount in the month of January, and

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<v Speaker 3>we're now down forty three percent over the last two months.

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<v Speaker 3>I'm shining like what happens to BYD as well. It's

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<v Speaker 3>not by more than four percent, maybe even five percent

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<v Speaker 3>after yesterday's rally, as it finally shows that it crescendoed

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<v Speaker 3>further than Tesla in terms of its revenue for fiscal

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<v Speaker 3>twenty twenty four. Let's drill into all of this, the

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<v Speaker 3>pushes in the pools and pleased to welcome Craig.

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<v Speaker 4>Trudell with us and Craig.

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<v Speaker 3>Look, the moon music has been sour for Tesla in

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<v Speaker 3>terms of sales when it comes to Asia, when it

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<v Speaker 3>comes to Europe, and this is more of the same,

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<v Speaker 3>but it's not dragging on the stock too much today.

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<v Speaker 5>Yeah, I think it's really been something to watch the

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<v Speaker 5>last few days now that we've seen this real rally

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<v Speaker 5>in the shares. They were really getting beaten down and

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<v Speaker 5>we saw, you know, the Trump administration sort of mount

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<v Speaker 5>this push, you know, with the Commerce Secretary coming out,

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<v Speaker 5>Howard Lutnik and saying, you know, go out and buy

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<v Speaker 5>Tesla stock. It's never going to be this cheap again.

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<v Speaker 5>We you know, didn't see an immediate sort of perking

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<v Speaker 5>up of the shares as a result of that, but

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<v Speaker 5>they really sort of furiously, you know, rallied to begin

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<v Speaker 5>this week. And you know, even despite the fact that

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<v Speaker 5>these numbers from the European Auto Manufacturers Association are really ugly,

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<v Speaker 5>as you say, you know, this isn't just a last

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<v Speaker 5>couple of months. It's ten of the last twelve that

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<v Speaker 5>we've seen the red, as this chart shows.

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<v Speaker 3>I think what's important is to shine a light on

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<v Speaker 3>how much it's the opposite of the trend in you're

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<v Speaker 3>more broadly though EV sales are actually are more than

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<v Speaker 3>thirty percent.

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<v Speaker 4>It really is an outlier.

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<v Speaker 5>Yeah, absolutely, And we should of course note that this

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<v Speaker 5>is not just a story about you know, Elon Musk

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<v Speaker 5>and potential brand damage. There is a transition of the model.

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<v Speaker 5>Why that's really important to keep in mind here where

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<v Speaker 5>you know, when you change over a vehicle from one

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<v Speaker 5>generation to the next, it means some disruption in your

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<v Speaker 5>output that is having an effect on Tesla the beginning

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<v Speaker 5>to begin the year. But you know, this is also

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<v Speaker 5>the case that you know, the industry was preparing for

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<v Speaker 5>twenty twenty five being a much tougher compliance year from

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<v Speaker 5>and emissions perspective. So Tesla also is just going to

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<v Speaker 5>have a lot more to deal with in terms of

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<v Speaker 5>competition because other carmakers feel the need to bring their

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<v Speaker 5>emissions down for those compliance reasons.

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<v Speaker 3>If competition wasn't stiff enough coming from China's byd creature, Dell,

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<v Speaker 3>we thank you so much. Meanwhile, let's get an investigate

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<v Speaker 3>because Kathy would well maybe unsurprising me for many, is

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<v Speaker 3>remaining bullish on Tesla but still calling for the stock

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<v Speaker 3>to hit two than six hundred dollars in five years,

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<v Speaker 3>almost ten times its current price, but a Megs daviding

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<v Speaker 3>there sat down for an exclusive interview with the invest

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<v Speaker 3>CEO that was over at HSBC Global Investment Summit in

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<v Speaker 3>Hong Kong.

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<v Speaker 6>Take listen, China is very important to Tesla, and I

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<v Speaker 6>actually think that Elon Musk and May Musk his mother

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<v Speaker 6>are are sort of ambassadors for the United States. Yes, yes, yes, yes,

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<v Speaker 6>and rightly so so. But to answer your question directly,

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<v Speaker 6>if China were to fail, that would be a short

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<v Speaker 6>term hit to the stock. Would it take us away

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<v Speaker 6>from twenty six hundred dollars? No, because the robotaxi story

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<v Speaker 6>is much more a function of the Western world where

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<v Speaker 6>ride hailing costs are so much higher than they are

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<v Speaker 6>in China.

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<v Speaker 3>That's going to take in Bailey Lipshitz, who's been delving

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<v Speaker 3>into the resilient pollition coming from ARC invest. But really

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<v Speaker 3>this isn't so much about warries and blips of European sales.

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<v Speaker 3>This is about long time focus on AI and robotaxis No.

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<v Speaker 7>Exactly, And as Craig Treudale pointed out earlier, she's been

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<v Speaker 7>predicting the dawn of robotaxies from Tesla since at least

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<v Speaker 7>twenty seventeen, so long term bullish. It is their biggest

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<v Speaker 7>holding in the rc ETF. But one thing I want

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<v Speaker 7>to call out when you look at this company when

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<v Speaker 7>it trades on it's multiple If you pull the pe

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<v Speaker 7>on Tesla relative to the rest of the mag seven

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<v Speaker 7>p is north of ninety.

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<v Speaker 3>Are you saying that Tesla doesn't trade on fundamental They

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<v Speaker 3>don't trade on fundamentals.

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<v Speaker 7>And also, keep in.

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<v Speaker 3>Mind, show us, Bailey, you show us if you bought.

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<v Speaker 7>ARC five years ago, you're up twenty seven percent. You're

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<v Speaker 7>lagging the S and P five hundred by one hundred

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<v Speaker 7>and twenty five percent, okay, and the Nazak by one

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<v Speaker 7>hundred and fifty percent. So been a losing bet in

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<v Speaker 7>the long term. But nonetheless, Kathy would sticking to those guns.

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<v Speaker 7>It kind of does sound like some of the retail

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<v Speaker 7>investors I talked to and the idea that the cyber

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<v Speaker 7>truck was only part of a thesis and now we're

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<v Speaker 7>looking to driverless taxis as well as the humanoid robot.

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<v Speaker 4>And she doesn't even facts.

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<v Speaker 7>You're in the human eye on robots, right, Yeah, No,

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<v Speaker 7>I mean again, if you do the math with a

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<v Speaker 7>current share count, that's an eight and a half trillion

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<v Speaker 7>dollar company with her forecasts, So they're going to be

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<v Speaker 7>doing a lot with driverless technology. Even if you add

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<v Speaker 7>up some of the bigger carmakers with the likes of

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<v Speaker 7>an Uber, you're still not even close to what that

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<v Speaker 7>would look like. She's obviously been bullish. She's pounded the

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<v Speaker 7>table for bitcoin to hit a million dollars at some

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<v Speaker 7>point in the not too distant future. So really talking

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<v Speaker 7>her book, but definitely something.

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<v Speaker 4>To take a bit with a grain.

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<v Speaker 3>Of salt we put into perspective of Kathy would the

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<v Speaker 3>bets that has won out and she was a long

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<v Speaker 3>term bull on Nvidio but actually removed her options and

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<v Speaker 3>ultimately exposure to the company just as it started to

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<v Speaker 3>rally hard. With Tesla, she has main committee, but they

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<v Speaker 3>have pulled some of their chips off the table.

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<v Speaker 7>Right, Yeah, it's a lower percentage of the holding of

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<v Speaker 7>when you look at the flagship ETF that Ark Innovation ETF,

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<v Speaker 7>now about eleven twelve percent of the ETF is allocated

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<v Speaker 7>to that. That was closer to like one fifth when

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<v Speaker 7>you look in that looked towards the beginning of the

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<v Speaker 7>year the end of last year, so pulling back, but

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<v Speaker 7>as you mentioned, kind of as the stock was rallying. Yes,

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<v Speaker 7>it's down about a third year to date, but nonetheless,

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<v Speaker 7>taking that long term view is retail investors will say,

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<v Speaker 7>you've been right about Tesla for five six years at

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<v Speaker 7>this point, and you're sitting pretty strongly in the green.

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<v Speaker 7>But if you look at the rest of some of

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<v Speaker 7>the investments that ARC has been pitching and been leaning into,

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<v Speaker 7>they haven't all really worked out, and that's why there's

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<v Speaker 7>been such a lag between the flagship ETF and pretty

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<v Speaker 7>much every other tech index.

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<v Speaker 3>Any Lipshaw's bringing us one investor take when it comes

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<v Speaker 3>to Tesla, Let's go broader in terms of the overall

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<v Speaker 3>market analysis of these EV numbers and the.

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<v Speaker 4>Future for the company.

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<v Speaker 3>Seth Goalstea and please say welcomes from morning Star Equity Strategist.

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<v Speaker 3>You're also the chair of the EV committee over there.

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<v Speaker 3>You currently have a hold rating Tesla. You've got a

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<v Speaker 3>price target of two fifty, so actually below where we

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<v Speaker 3>currently are after yesterday's rally. Why are we not sinking

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<v Speaker 3>more on these yet further dire sales news out of Europe?

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<v Speaker 8>Well, I think there's a lot of enthusiasm with the

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<v Speaker 8>full self driving technology. Yesterday's news that full self driving

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<v Speaker 8>was approved in China bodes well for China sales is

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<v Speaker 8>a far bigger market for Tesla than Europe. And so

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<v Speaker 8>when you look at full self driving, we have the

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<v Speaker 8>robo taxi testing that's going to be launched in Austin,

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<v Speaker 8>the full self driving unsupervised launch in Austin, and we'll

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<v Speaker 8>come to California later this year. And then with the

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<v Speaker 8>positive news of being able to launch the supervised level

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<v Speaker 8>two version of full self driving in China, that bodes

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<v Speaker 8>well for Tesla delivery. So I think that's the momentum

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<v Speaker 8>that's that's carrying heavier today versus the European deliveries being down.

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<v Speaker 3>Okay, it has that optimism enough to vindicate the about

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<v Speaker 3>one hundred times future earnings that we currently trade at

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<v Speaker 3>for Tesla. As we were just hearing from Bailey, well.

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<v Speaker 8>Tesla's a very high growth stock, has been for years,

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<v Speaker 8>and with Tesla's still having strong growth prospects, whether that's

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<v Speaker 8>the energy storage system, whether that's robotaxis, full self driving,

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<v Speaker 8>subscription softwarees, there is still a lot of room for

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<v Speaker 8>the Tesla growth story to play out. So I think

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<v Speaker 8>the market is still valuing the Tesla does still have

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<v Speaker 8>a lot of growth left. Even if the Mile three

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<v Speaker 8>model y are approaching that limit of deliveries, they still

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<v Speaker 8>have the new more formal suv coming out later this

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<v Speaker 8>year that should then push deliveries back into growth.

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<v Speaker 3>Seth get into the details here. Therefore, is it the

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<v Speaker 3>fact that they haven't really had an overhaul of their

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<v Speaker 3>current product that is limiting current sales and of course

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<v Speaker 3>the mismatches they try and iron out a new form

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<v Speaker 3>of production, or actually is it the politicking of La

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<v Speaker 3>must taking an effect here.

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<v Speaker 8>It's still unclear what the drivers are behind the first

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<v Speaker 8>two months to client, especially in the European market, you

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<v Speaker 8>could have a lot of consumers waiting for their new

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<v Speaker 8>model Why, which just began deliveries in Europe in March,

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<v Speaker 8>so consumers could have been holding off until they could

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<v Speaker 8>secure a new model Why. You also have the more

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<v Speaker 8>affordable vehicle being launched, and so some consumers may be

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<v Speaker 8>waiting for a lower price point vehicle from Tesla. But

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<v Speaker 8>in the European market especially you finally have long range

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<v Speaker 8>ed competition at a comparable price for years, a Tesla

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<v Speaker 8>Model three year model. Why was the only long range

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<v Speaker 8>in this case, I'm defining it at at least four

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<v Speaker 8>under kilometers or more of range at the same price

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<v Speaker 8>that would be as the same as an IC after subsidies.

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<v Speaker 8>So for key markets like Germany or the UK, a

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<v Speaker 8>Tesla was the most affordable long range eed. Now you

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<v Speaker 8>have other competitors who are offering long range evs at

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<v Speaker 8>a similar or slightly cheaper price point, and so there's

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<v Speaker 8>true competition for the first time in the European market,

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<v Speaker 8>and that could be leading some consumers to choose a

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<v Speaker 8>different vehicle besides the Tesla.

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<v Speaker 3>Latin America Europe can access BYD and I was interested

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<v Speaker 3>in Kathywood's take there that BWEY isn't a compation competive

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<v Speaker 3>so when it comes to av but we've heard that

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<v Speaker 3>they are focusing on autonomous vehicle technology, So could it

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<v Speaker 3>start to ramp up and take on the robotaxi future

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<v Speaker 3>of Tesla too?

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<v Speaker 8>Well, they very well could. Bid has a level two

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<v Speaker 8>product that they offer in China for free right now,

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<v Speaker 8>whereas even if you buy a Tesla and China you

0:11:21.040 --> 0:11:22.840
<v Speaker 8>still have to pay for full self driving.

0:11:22.920 --> 0:11:24.040
<v Speaker 1>So that could lead.

0:11:23.920 --> 0:11:27.120
<v Speaker 8>Some consumers to choose a bid, both will be level

0:11:27.160 --> 0:11:30.040
<v Speaker 8>two products inside China, and China is a unique market

0:11:30.080 --> 0:11:33.880
<v Speaker 8>because the data for ad testing has to stay within China.

0:11:34.120 --> 0:11:36.720
<v Speaker 8>You can't send it back to Tesla's headquarters in the

0:11:36.840 --> 0:11:40.800
<v Speaker 8>US for refinement, and so China maybe a different market

0:11:40.840 --> 0:11:44.400
<v Speaker 8>altogether where BID is more comparable to a Tesla. But

0:11:44.520 --> 0:11:46.520
<v Speaker 8>if you're looking at a market like the US or

0:11:46.559 --> 0:11:49.599
<v Speaker 8>Europe right now, I think Tesla would be more comparable

0:11:49.640 --> 0:11:52.880
<v Speaker 8>with Alphabet's Waymo product as a robo taxi competitor.

0:11:53.320 --> 0:11:56.400
<v Speaker 3>So with the current price, we're trading app more than

0:11:56.600 --> 0:12:00.680
<v Speaker 3>your two fifty dollars, call you hold and brace for

0:12:00.760 --> 0:12:04.120
<v Speaker 3>further volatility. Are we ever going to just see a

0:12:04.240 --> 0:12:07.199
<v Speaker 3>calmer up into the right trajectory for Tesla stock.

0:12:08.920 --> 0:12:12.000
<v Speaker 8>Well, if there are months and quarters of good news

0:12:12.080 --> 0:12:14.880
<v Speaker 8>that comes out, then we could see Tesla's stocks start

0:12:14.920 --> 0:12:17.600
<v Speaker 8>to rally. But when it was trading in the high

0:12:17.679 --> 0:12:20.520
<v Speaker 8>four hundreds, like it was in mid December, we had

0:12:20.520 --> 0:12:22.880
<v Speaker 8>a one star rating, we thought Tesla was to sell

0:12:23.000 --> 0:12:24.760
<v Speaker 8>because we thought a lot of the good news was

0:12:24.800 --> 0:12:27.200
<v Speaker 8>priced in, a lot of it was priced for perfection.

0:12:27.559 --> 0:12:30.720
<v Speaker 8>Even when you're looking at valuing the robotaxi business, we

0:12:30.760 --> 0:12:31.680
<v Speaker 8>assigned maybe.

0:12:31.480 --> 0:12:33.440
<v Speaker 7>A lower valuation of some of the more.

0:12:33.280 --> 0:12:36.640
<v Speaker 8>Bullish forecasts, because when you think of robotaxi, it's going

0:12:36.679 --> 0:12:39.000
<v Speaker 8>to be a cheaper price point, which means the lower

0:12:39.040 --> 0:12:44.800
<v Speaker 8>total addressable market for consumers and for Tesla's profitability. And

0:12:45.040 --> 0:12:48.000
<v Speaker 8>they can't just take a thirty percent take like an

0:12:48.080 --> 0:12:50.720
<v Speaker 8>uber can. They also have to manage their expensive That's

0:12:50.720 --> 0:12:54.160
<v Speaker 8>another whole set of additional overhead expenses. So I do

0:12:54.200 --> 0:12:56.439
<v Speaker 8>think it's going to be a very profitable business for them,

0:12:56.480 --> 0:12:59.640
<v Speaker 8>but maybe not as profitable as the market's implying.

0:13:00.120 --> 0:13:02.960
<v Speaker 3>How warried have you been about key man risk with

0:13:03.080 --> 0:13:05.920
<v Speaker 3>Tesla as well, concerns about access to the pay he'd

0:13:05.960 --> 0:13:08.400
<v Speaker 3>been promised, and indeed the focus he has over at

0:13:08.440 --> 0:13:09.400
<v Speaker 3>the White House right now.

0:13:11.000 --> 0:13:14.520
<v Speaker 8>Well, Elon Musk has always had multiple positions, you know,

0:13:14.559 --> 0:13:17.320
<v Speaker 8>whether that was buying Twitter, turning into X a couple

0:13:17.360 --> 0:13:21.240
<v Speaker 8>of years ago, or helping to lead SpaceX. He wasn't

0:13:21.280 --> 0:13:24.880
<v Speaker 8>the CEO, but he still does take a leadership position

0:13:24.920 --> 0:13:28.000
<v Speaker 8>in that company. He also has boring company, Neurolinks, so

0:13:28.320 --> 0:13:31.080
<v Speaker 8>I'd imagine that Elon is still focusing most of his

0:13:31.160 --> 0:13:33.920
<v Speaker 8>time and energy at Tesla. I think last week's event

0:13:34.080 --> 0:13:37.040
<v Speaker 8>highlighted that that he's still focused on Tesla, and he's

0:13:37.040 --> 0:13:39.040
<v Speaker 8>probably taking a little bit of a step back at

0:13:39.080 --> 0:13:41.800
<v Speaker 8>some of his other companies, letting the management teams at

0:13:41.840 --> 0:13:46.679
<v Speaker 8>places like SpaceX and X do more of the projects,

0:13:46.760 --> 0:13:48.959
<v Speaker 8>take more of a leadership role so he can spend

0:13:48.960 --> 0:13:51.199
<v Speaker 8>more time at the White House. I'm not too concerned

0:13:51.240 --> 0:13:53.560
<v Speaker 8>right now that Elon's going to leave Tesla. I think

0:13:53.559 --> 0:13:55.760
<v Speaker 8>they'll work out a deal that'll be a very favorable

0:13:55.840 --> 0:13:58.840
<v Speaker 8>compensation package because the shareholders did both for it. So

0:13:58.880 --> 0:14:01.600
<v Speaker 8>there is a lot of shareholders report for Elon wants

0:14:01.640 --> 0:14:03.880
<v Speaker 8>to get paid, and I think what we'll see is

0:14:03.920 --> 0:14:06.280
<v Speaker 8>Elon will get a pay package, we'll stay at Tesla,

0:14:06.320 --> 0:14:08.440
<v Speaker 8>and so I don't see a lot of keyper service

0:14:08.480 --> 0:14:08.960
<v Speaker 8>for testing.

0:14:09.200 --> 0:14:10.960
<v Speaker 3>Seth Golstein, it has been great catching up with you.

0:14:11.200 --> 0:14:13.920
<v Speaker 3>Thank you, morning star Crity strategists on things Tesla. Meanwhile,

0:14:13.960 --> 0:14:17.000
<v Speaker 3>coming up major tech companies and foreign officials. They are

0:14:17.080 --> 0:14:21.040
<v Speaker 3>pushing the Trump administration to rethink the country's global semiconductor strategy.

0:14:21.360 --> 0:14:22.480
<v Speaker 4>We'll have the details next.

0:14:22.560 --> 0:14:25.080
<v Speaker 3>Meanwhile, let's talk about some of those key tech executives

0:14:25.080 --> 0:14:29.680
<v Speaker 3>and companies in Vidia, Broadcom, also Intel. Interesting report coming

0:14:29.720 --> 0:14:32.720
<v Speaker 3>out this time. From analysis over at UBS, it looks

0:14:32.720 --> 0:14:35.720
<v Speaker 3>as though Intel is reportedly strategizing to rejuvenate its chip

0:14:35.760 --> 0:14:40.160
<v Speaker 3>design and broaden its foundry business. Could this be about

0:14:40.160 --> 0:14:43.600
<v Speaker 3>securing these clients in VideA broadcom that being written up

0:14:43.600 --> 0:14:46.440
<v Speaker 3>by UBS analysts and within a chury this has been

0:14:46.520 --> 0:15:02.200
<v Speaker 3>big technology. Our own officials, our major tech companies are

0:15:02.280 --> 0:15:04.840
<v Speaker 3>lobbying the White House so loose some trade restrictions placed

0:15:04.880 --> 0:15:06.840
<v Speaker 3>on AI chips. Of course, that was back in the

0:15:06.840 --> 0:15:09.880
<v Speaker 3>final days of the Biden administration. REUMAGS Mike Sheppard joins

0:15:09.920 --> 0:15:11.720
<v Speaker 3>us for more on this. Now. It's a so called

0:15:11.760 --> 0:15:15.320
<v Speaker 3>AI diffusion rule here, and it feels as though Oracle

0:15:15.480 --> 0:15:18.560
<v Speaker 3>Nvidia are the key companies that would like this not.

0:15:18.480 --> 0:15:19.360
<v Speaker 4>To go into act.

0:15:20.600 --> 0:15:23.280
<v Speaker 9>Well, that's right, Caro, they have the most at stake here.

0:15:23.360 --> 0:15:26.080
<v Speaker 9>And to back up a little bit to reminder audience

0:15:26.120 --> 0:15:29.640
<v Speaker 9>of what this AI diffusion rule does to help understand

0:15:29.640 --> 0:15:32.760
<v Speaker 9>where the companies are. Look, this rule divides the world

0:15:32.800 --> 0:15:36.040
<v Speaker 9>into three tiers. It sets up a first tier of

0:15:36.160 --> 0:15:39.880
<v Speaker 9>countries the closest US allies maybe about twenty of them

0:15:40.080 --> 0:15:43.800
<v Speaker 9>that get unlimited access. And then there's another tier of

0:15:43.960 --> 0:15:47.840
<v Speaker 9>countries the adversaries of the Usa, China, and Russia that

0:15:47.880 --> 0:15:50.840
<v Speaker 9>are really cut off from access to the most advanced

0:15:50.880 --> 0:15:54.040
<v Speaker 9>AI chips. But then there's this big fat middle of

0:15:54.120 --> 0:15:57.840
<v Speaker 9>nations and that includes Israel, the United Arab Emirates, and

0:15:57.920 --> 0:16:01.400
<v Speaker 9>even India, which all have their own ambitions and are

0:16:01.440 --> 0:16:04.680
<v Speaker 9>all markets where Nvidia and Oracle are looking to do

0:16:04.760 --> 0:16:07.160
<v Speaker 9>a lot of business. And the prospect of having to

0:16:07.200 --> 0:16:10.520
<v Speaker 9>face restrictions on how much computing power they can sell

0:16:10.560 --> 0:16:13.800
<v Speaker 9>to anyone nation, or having to deal with guardrails that

0:16:13.920 --> 0:16:18.560
<v Speaker 9>could prove to be regulatory hurdles that might steer business elsewhere,

0:16:18.840 --> 0:16:22.800
<v Speaker 9>is what is prompting this lobbying push by Nvidia and

0:16:22.840 --> 0:16:24.000
<v Speaker 9>also by foreign leaders.

0:16:24.280 --> 0:16:26.480
<v Speaker 3>I mean, just think if you're not able to house

0:16:26.800 --> 0:16:30.120
<v Speaker 3>more than seven percent of your overall compute capacity in

0:16:30.200 --> 0:16:33.800
<v Speaker 3>certain countries, that's really going to impact Oracle exactly its

0:16:33.840 --> 0:16:37.160
<v Speaker 3>plants at the moment, plans over Malaysia, for example. So

0:16:37.680 --> 0:16:40.240
<v Speaker 3>would they want a complete repeal? Are we likely to

0:16:40.280 --> 0:16:41.440
<v Speaker 3>see a complete repeal?

0:16:42.600 --> 0:16:47.160
<v Speaker 9>Well, the reporting from our colleagues Jenny Leonard and Mackenzie Hawkins,

0:16:47.240 --> 0:16:49.360
<v Speaker 9>and a shout out to them for the great work

0:16:49.360 --> 0:16:52.600
<v Speaker 9>that they did with this report. What they turned up

0:16:52.720 --> 0:16:56.160
<v Speaker 9>was that Nvidian Oracle are most steadfastly against this role.

0:16:56.240 --> 0:16:58.280
<v Speaker 9>They are the ones who really want to see it

0:16:59.200 --> 0:17:03.080
<v Speaker 9>next all together and then started again from scratch. Everyone

0:17:03.160 --> 0:17:06.399
<v Speaker 9>recognizes that there is a need for some sort of

0:17:06.480 --> 0:17:10.199
<v Speaker 9>governance about where AI chips go. They do provide a

0:17:10.240 --> 0:17:13.800
<v Speaker 9>security advantage or risk if they spread to widely, and

0:17:13.880 --> 0:17:18.199
<v Speaker 9>the US is already subjected in video to restrictions on

0:17:18.320 --> 0:17:22.480
<v Speaker 9>exports of chips also used in AI to China. We've

0:17:22.480 --> 0:17:25.080
<v Speaker 9>seen that come up, for instance with deep Seek. But

0:17:25.280 --> 0:17:27.240
<v Speaker 9>now what they want to do is they want this

0:17:27.280 --> 0:17:30.399
<v Speaker 9>started from scratcher. Are there companies though, like Google and

0:17:30.440 --> 0:17:33.080
<v Speaker 9>Anthropic that are willing to work with the rule but

0:17:33.119 --> 0:17:35.040
<v Speaker 9>would like to see it recast in ways that are

0:17:35.080 --> 0:17:37.280
<v Speaker 9>a little bit more favorable in bugs.

0:17:37.280 --> 0:17:40.160
<v Speaker 3>Mike Shefford, thank you so much on the AI diffusion rule.

0:17:47.760 --> 0:17:49.120
<v Speaker 4>It's time now for talking tech.

0:17:49.160 --> 0:17:51.600
<v Speaker 3>First up, another TikTok executive steps down.

0:17:51.840 --> 0:17:52.840
<v Speaker 4>Rick Channeley, who.

0:17:52.800 --> 0:17:55.679
<v Speaker 3>Oversaw ad sales and global marketing, will step into an

0:17:55.720 --> 0:17:58.119
<v Speaker 3>advisory role as part of a reorganization. Now it's the

0:17:58.200 --> 0:18:00.760
<v Speaker 3>leadst management change by the social media company as it

0:18:00.800 --> 0:18:04.399
<v Speaker 3>faces an April fifth deadline to reach a US sale deal. Now,

0:18:04.400 --> 0:18:06.920
<v Speaker 3>according to the information at least eight other executives of

0:18:07.000 --> 0:18:10.439
<v Speaker 3>Left TikTok since twenty twenty five plus Deep Seek unveiled

0:18:10.480 --> 0:18:14.800
<v Speaker 3>its latest V three model, promising better programming capabilities. Chinese

0:18:14.840 --> 0:18:17.840
<v Speaker 3>ai startup dropped the update without actually a formal announcement

0:18:17.960 --> 0:18:20.640
<v Speaker 3>as it looks to remain competitive against its rivals. Deep

0:18:20.680 --> 0:18:23.120
<v Speaker 3>Seak claims the V three model could address real world

0:18:23.200 --> 0:18:27.479
<v Speaker 3>challenges while remaining accurate and efficient, and Ali Baba chairman

0:18:27.680 --> 0:18:31.240
<v Speaker 3>Joe Sai says AI data centers maybe at the beginning

0:18:31.280 --> 0:18:34.280
<v Speaker 3>of a bubble. Who's speaking over the HSBC Global Investment

0:18:34.320 --> 0:18:36.679
<v Speaker 3>Summit in Hong Kong, and Sai said a lot of

0:18:36.800 --> 0:18:41.120
<v Speaker 3>US data center announcements were duplicative and overlap with each other.

0:18:41.560 --> 0:18:44.159
<v Speaker 3>So let's get more on that exact story of Bloomberg's

0:18:44.200 --> 0:18:47.840
<v Speaker 3>Peter Elstrom and finding talk trying to push against these

0:18:48.040 --> 0:18:51.439
<v Speaker 3>US giants that met the Amazons about their commitment to

0:18:51.480 --> 0:18:52.440
<v Speaker 3>AI infrastructure.

0:18:53.960 --> 0:18:57.119
<v Speaker 10>Yeah, it's interesting comments from Joe Sai. As you mentioned,

0:18:57.160 --> 0:19:00.000
<v Speaker 10>he's chairman of Ali Baba. He's been through this for many,

0:19:00.040 --> 0:19:03.480
<v Speaker 10>many years. He got a start in the dot com bubbles,

0:19:03.520 --> 0:19:05.320
<v Speaker 10>so he's seen some of these bubbles in the past,

0:19:05.520 --> 0:19:07.880
<v Speaker 10>and he's calling it out. He was at this conference

0:19:07.920 --> 0:19:12.000
<v Speaker 10>in Hong Kong talking with investors and tech executives at

0:19:12.000 --> 0:19:14.160
<v Speaker 10>that point, and he said he's concerned about this AI

0:19:14.200 --> 0:19:18.119
<v Speaker 10>bubble forming, particularly around data centers. We have seen incredible

0:19:18.119 --> 0:19:21.320
<v Speaker 10>amounts of money getting poured into these data centers, especially

0:19:21.320 --> 0:19:24.960
<v Speaker 10>from the US tech companies Amazon and Microsoft and Google

0:19:25.040 --> 0:19:27.520
<v Speaker 10>all are pouring tens of billions of dollars into these

0:19:27.560 --> 0:19:30.159
<v Speaker 10>data centers. Of course, you'll re call that open Ai

0:19:30.280 --> 0:19:33.399
<v Speaker 10>and SoftBank talked about spending five hundred billion dollars on

0:19:33.520 --> 0:19:35.359
<v Speaker 10>data centers in the US, so they're really kind of

0:19:35.359 --> 0:19:38.720
<v Speaker 10>crazy numbers. Alibab has not been shy about making these investments.

0:19:38.800 --> 0:19:42.040
<v Speaker 10>In fact, they plan to spend more than fifty billion dollars.

0:19:42.200 --> 0:19:44.159
<v Speaker 10>But the numbers are starting to add up, and the

0:19:44.240 --> 0:19:46.480
<v Speaker 10>question is whether those are going to pay off with

0:19:46.560 --> 0:19:48.520
<v Speaker 10>some profitable services down the line.

0:19:48.720 --> 0:19:52.120
<v Speaker 3>And it speaks to investor anxiety over the last few

0:19:52.160 --> 0:19:54.399
<v Speaker 3>months that we're just putting too much money in not

0:19:54.480 --> 0:19:58.280
<v Speaker 3>getting enough reward out. In fact, Mizuho analysis coming out today,

0:19:58.280 --> 0:20:00.000
<v Speaker 3>I always love the notes coming out from Jordan client

0:20:00.040 --> 0:20:02.320
<v Speaker 3>and he pointed, perhaps these are sort of these pot

0:20:02.320 --> 0:20:05.840
<v Speaker 3>shots being fired over in video and US giants buy

0:20:06.560 --> 0:20:09.359
<v Speaker 3>China tech internet leaders, and he said, it's kind of

0:20:09.359 --> 0:20:12.120
<v Speaker 3>funny that just straight after GtC, we're getting these negative

0:20:12.119 --> 0:20:15.080
<v Speaker 3>shots against in video and the entire AI investment narrative

0:20:15.359 --> 0:20:18.639
<v Speaker 3>that generally centers around one hundred percent on US suppliers.

0:20:19.200 --> 0:20:20.240
<v Speaker 4>Is there a theme that.

0:20:20.160 --> 0:20:23.800
<v Speaker 3>This is almost geopolitical, that this is China fighting back

0:20:23.840 --> 0:20:26.720
<v Speaker 3>against US, and how US has basically ridden the wave

0:20:26.760 --> 0:20:28.200
<v Speaker 3>of AI more than them so far.

0:20:29.760 --> 0:20:32.359
<v Speaker 10>Well, I think it's important to look at the China

0:20:32.600 --> 0:20:35.440
<v Speaker 10>tech industry, China business for broadly, not as a monolith.

0:20:35.600 --> 0:20:39.000
<v Speaker 10>These are individual companies making individual choices, but when you

0:20:39.000 --> 0:20:41.280
<v Speaker 10>look at how they add up. There have been more

0:20:41.320 --> 0:20:44.960
<v Speaker 10>than ten AI models introduced just over the past two weeks.

0:20:45.080 --> 0:20:47.600
<v Speaker 10>They're coming out fast and furious after Deep Seek, and

0:20:47.640 --> 0:20:51.040
<v Speaker 10>you're exactly right. They are positioning themselves as quite different

0:20:51.080 --> 0:20:53.840
<v Speaker 10>from the US models. They're lower costs, they're much more

0:20:53.840 --> 0:20:55.639
<v Speaker 10>efficient in a lot of ways, and they're not spending

0:20:55.640 --> 0:20:57.879
<v Speaker 10>the same amount of money. Part of that is because

0:20:57.880 --> 0:21:00.640
<v Speaker 10>of US restrictions. The US has stopped them from buying

0:21:01.200 --> 0:21:03.920
<v Speaker 10>the highest end in video chips in particular, so rather

0:21:03.960 --> 0:21:06.119
<v Speaker 10>than spend tens of billions of dollars on some of

0:21:06.119 --> 0:21:08.679
<v Speaker 10>these efforts. They're spending much more and they're using a

0:21:08.680 --> 0:21:11.400
<v Speaker 10>lot of engineering expertise to be able to come out

0:21:11.400 --> 0:21:15.520
<v Speaker 10>with models that are very competent. They are competitive globally,

0:21:15.880 --> 0:21:17.800
<v Speaker 10>and they're innovative in a lot of ways. So they're

0:21:17.800 --> 0:21:20.280
<v Speaker 10>going at a different part of the market, and they

0:21:20.280 --> 0:21:23.080
<v Speaker 10>could be bringing down profits overall for the whole market.

0:21:24.160 --> 0:21:25.639
<v Speaker 4>Just good to remind use of that.

0:21:25.720 --> 0:21:28.560
<v Speaker 3>Ali Baba's CEO, though tod say that AI is one

0:21:28.600 --> 0:21:31.480
<v Speaker 3>in a generation opportunities. So kind of speaking from two

0:21:31.520 --> 0:21:33.920
<v Speaker 3>sides of the mouth here, Peter Elstrom is so good

0:21:33.960 --> 0:21:44.200
<v Speaker 3>to have you. Thank you, Welcome back to blumel Technology

0:21:44.240 --> 0:21:46.000
<v Speaker 3>and Caroline hid in New York. Let's get a quick

0:21:46.040 --> 0:21:50.120
<v Speaker 3>check on these markets, because we remain tentatively higher after

0:21:50.240 --> 0:21:53.280
<v Speaker 3>yesterday's big rally on the NASSACK. Across all benchmarks, we're

0:21:53.320 --> 0:21:55.760
<v Speaker 3>up another five ten percent on the Nasdaq one hundred.

0:21:55.880 --> 0:21:57.680
<v Speaker 4>You dig into the detail who leads.

0:21:57.560 --> 0:22:00.720
<v Speaker 3>Us on a points perspective on the downside's video, We've

0:22:00.720 --> 0:22:04.280
<v Speaker 3>still got some anxiety around geopolitics on restraints from exporting

0:22:04.320 --> 0:22:04.840
<v Speaker 3>for that name.

0:22:04.920 --> 0:22:05.680
<v Speaker 4>But go into the.

0:22:05.680 --> 0:22:07.600
<v Speaker 3>Companies that lead us on the higher side, and it's

0:22:07.640 --> 0:22:10.919
<v Speaker 3>Apple from a points perspective, we're off well currently up

0:22:10.920 --> 0:22:13.280
<v Speaker 3>by one and a quarter percent. We're seeing once again

0:22:13.320 --> 0:22:15.439
<v Speaker 3>maybe some feel good factors coming from the EU for

0:22:15.480 --> 0:22:17.119
<v Speaker 3>once for this particular name, but it really is your

0:22:17.160 --> 0:22:19.480
<v Speaker 3>biggest points contributor. We're now back on the last like

0:22:19.480 --> 0:22:21.480
<v Speaker 3>one hundred to where we're training at the beginning of March.

0:22:21.640 --> 0:22:23.280
<v Speaker 3>But in video, as I say, is still the worst

0:22:23.320 --> 0:22:25.440
<v Speaker 3>on the points downside, We're off by eight tenths of

0:22:25.480 --> 0:22:27.959
<v Speaker 3>percent as we're still trying to understand how much they

0:22:27.960 --> 0:22:30.080
<v Speaker 3>are going to be able to get their incredibly sophisticated

0:22:30.160 --> 0:22:33.040
<v Speaker 3>chips in More broadly around the world. I'm looking at

0:22:33.080 --> 0:22:36.919
<v Speaker 3>Tesla though, flitting between gains and losses. Today we have

0:22:37.720 --> 0:22:40.719
<v Speaker 3>negative news when it comes to EU sales down forty

0:22:40.800 --> 0:22:43.400
<v Speaker 3>percent again from the month of February. However, we saw

0:22:43.440 --> 0:22:46.280
<v Speaker 3>a significant rally yesterday up almost eleven percent, so maybe

0:22:46.320 --> 0:22:48.240
<v Speaker 3>we just pull back a little bit and a little

0:22:48.240 --> 0:22:50.200
<v Speaker 3>bit of profit taking. We're down three tenths toer percent,

0:22:50.240 --> 0:22:53.520
<v Speaker 3>but there is so much volatility in this market. Let's

0:22:53.560 --> 0:22:56.199
<v Speaker 3>get a broader context for you amid tariff threats and

0:22:56.240 --> 0:22:58.200
<v Speaker 3>so much else for big tech. Denise Chisholm is with

0:22:58.280 --> 0:23:01.760
<v Speaker 3>US fidelity investments, quantitive marks strategy direct to and you

0:23:01.920 --> 0:23:05.280
<v Speaker 3>put such a historical lens, which we need at this

0:23:05.400 --> 0:23:08.399
<v Speaker 3>moment because often it feels unprecedented. Take us back to

0:23:08.480 --> 0:23:11.800
<v Speaker 3>a sentiment right now and how it makes ultimately the

0:23:11.840 --> 0:23:13.800
<v Speaker 3>context of what it was like back in what the

0:23:13.880 --> 0:23:17.320
<v Speaker 3>Gulf War. You say, we've never had as much pessimism.

0:23:17.480 --> 0:23:20.080
<v Speaker 11>Yeah, I mean, in some ways we've had a very

0:23:20.119 --> 0:23:23.560
<v Speaker 11>cluster of anomalous signals in this tempercent correction. I mean,

0:23:23.600 --> 0:23:26.399
<v Speaker 11>obviously this correction has been one of the fastest on record,

0:23:26.480 --> 0:23:28.480
<v Speaker 11>but I think the unique part of it was the

0:23:28.520 --> 0:23:30.679
<v Speaker 11>decline and sentiment from you know, you can look at

0:23:30.680 --> 0:23:34.480
<v Speaker 11>the AAII measure from you know, bullish to bearish. You

0:23:34.480 --> 0:23:38.200
<v Speaker 11>can look at the Google trends in terms of recession sentiment.

0:23:38.440 --> 0:23:40.200
<v Speaker 11>You can look at a lot of the sentiment indicators,

0:23:40.200 --> 0:23:42.520
<v Speaker 11>the defense of rotation we've seen, just the rotation in

0:23:42.720 --> 0:23:46.160
<v Speaker 11>international stocks. All of these signals happen less than three

0:23:46.240 --> 0:23:48.840
<v Speaker 11>and one percent of the time, and in some ways

0:23:48.920 --> 0:23:52.640
<v Speaker 11>much of it has been during war crises or prior recession.

0:23:52.760 --> 0:23:56.600
<v Speaker 11>So without a recessionary event, this is incredibly unique. I

0:23:56.600 --> 0:23:58.960
<v Speaker 11>think when you look at the signaling perspective and you're

0:23:59.000 --> 0:24:01.880
<v Speaker 11>willing to take a media term time horizon of six

0:24:01.920 --> 0:24:05.600
<v Speaker 11>to twelve months. All of these extreme signals are usually

0:24:05.640 --> 0:24:09.520
<v Speaker 11>contrarian buy signals for the overall market. But the extreme

0:24:09.560 --> 0:24:12.000
<v Speaker 11>anomaly this time is that the market isn't really down

0:24:12.040 --> 0:24:14.240
<v Speaker 11>a lot as much as we've seen a ten percent correction,

0:24:14.480 --> 0:24:16.320
<v Speaker 11>and even over the last six months you can say

0:24:16.320 --> 0:24:19.160
<v Speaker 11>it's flat. So to the extent that investors are uniquely

0:24:19.200 --> 0:24:22.840
<v Speaker 11>concerned about the fact that, hey, we're seeing google recessionary

0:24:22.920 --> 0:24:27.040
<v Speaker 11>trends spiking to recessionary levels to the extent that that

0:24:27.160 --> 0:24:30.880
<v Speaker 11>has been the case in history. Should stocks go down

0:24:31.000 --> 0:24:36.080
<v Speaker 11>to meet that recessionary sentiment, you actually find the opposite correlation,

0:24:36.280 --> 0:24:39.560
<v Speaker 11>meaning the less stocks are down when you are at

0:24:39.560 --> 0:24:45.080
<v Speaker 11>these peak recession sentiment levels, usually that's better signals in

0:24:45.200 --> 0:24:47.560
<v Speaker 11>terms of a stock market advance in the future. It's

0:24:47.600 --> 0:24:51.720
<v Speaker 11>almost like the lack of correction in stocks gets it right,

0:24:51.880 --> 0:24:55.959
<v Speaker 11>or that stocks are potentially looked throughing something, looking through something.

0:24:56.240 --> 0:24:58.679
<v Speaker 11>So I think that those unique signals in the data

0:24:58.800 --> 0:25:00.520
<v Speaker 11>that actually do suggest that opity.

0:25:00.880 --> 0:25:04.439
<v Speaker 3>Okay, so if you are willing to take on the

0:25:04.520 --> 0:25:08.040
<v Speaker 3>abrupt fall or two coming going forward, are we nearing

0:25:08.040 --> 0:25:10.040
<v Speaker 3>a bottle is bottom. Is that sort of the signal

0:25:10.080 --> 0:25:12.200
<v Speaker 3>that you're getting from historical context right now?

0:25:12.920 --> 0:25:15.000
<v Speaker 11>Yeah, I think when you look at it historically, it

0:25:15.040 --> 0:25:18.000
<v Speaker 11>doesn't really nail the bottom. In terms of picking bottoms,

0:25:18.040 --> 0:25:19.800
<v Speaker 11>I think that the signals that I look at from

0:25:19.800 --> 0:25:22.760
<v Speaker 11>a probability perspective or longer term in nature. So when

0:25:22.800 --> 0:25:24.440
<v Speaker 11>I look and say you want to look out six

0:25:24.480 --> 0:25:27.000
<v Speaker 11>to twelve months and absorb the volatility, I think that

0:25:27.040 --> 0:25:29.399
<v Speaker 11>there's opportunities in that. That's less to say that the

0:25:29.400 --> 0:25:31.840
<v Speaker 11>bottom was yesterday or today, or maybe even in two

0:25:31.840 --> 0:25:34.280
<v Speaker 11>months from now, but it is to say that after

0:25:34.359 --> 0:25:36.800
<v Speaker 11>the correction, I think that it might be too late

0:25:36.840 --> 0:25:38.960
<v Speaker 11>to be bearished to the extent that you have that

0:25:39.119 --> 0:25:40.400
<v Speaker 11>year long time horizon.

0:25:40.640 --> 0:25:42.920
<v Speaker 3>And Denny's what we've seen is a real flip around

0:25:42.960 --> 0:25:46.280
<v Speaker 3>in terms of who's outperformed, healthcare dominating even a bit

0:25:46.320 --> 0:25:50.159
<v Speaker 3>of financials, but technology has lagged. Is it now that

0:25:50.200 --> 0:25:54.239
<v Speaker 3>we start to see people recommit, have fundamentals changed at

0:25:54.240 --> 0:25:58.920
<v Speaker 3>the same time as human anxieties and any pessimism across

0:25:58.920 --> 0:25:59.720
<v Speaker 3>the border markets.

0:26:00.480 --> 0:26:03.400
<v Speaker 11>Yeah, So back to that defensive rotation. The defensive sectors

0:26:03.400 --> 0:26:06.879
<v Speaker 11>in the market, consumer staples, healthcare, the old telecommunications services,

0:26:07.160 --> 0:26:11.040
<v Speaker 11>and utilities have outperformed by about eleven hundred basis points.

0:26:11.119 --> 0:26:14.159
<v Speaker 11>That again has only happened less than three percent of

0:26:14.200 --> 0:26:17.440
<v Speaker 11>the time in history, and you usually see a cyclical

0:26:17.520 --> 0:26:21.199
<v Speaker 11>rotation after that, despite the fact that fundamentals may in

0:26:21.240 --> 0:26:24.320
<v Speaker 11>fact deteriorate, which is to say that, look, a lot

0:26:24.359 --> 0:26:27.760
<v Speaker 11>of that concern around numbers or around the economy has

0:26:27.840 --> 0:26:30.920
<v Speaker 11>been somewhat priced in. So I do think that there

0:26:30.920 --> 0:26:34.160
<v Speaker 11>are opportunities in technology. I think the intriguing part about

0:26:34.200 --> 0:26:38.560
<v Speaker 11>technology is that we've seen really more multiple compression than

0:26:38.600 --> 0:26:41.520
<v Speaker 11>we have seen a decline in earning estimates. So once

0:26:41.560 --> 0:26:44.080
<v Speaker 11>you're out of that top quartile, when I look back

0:26:44.119 --> 0:26:45.760
<v Speaker 11>in history and say, okay, you're out of the top

0:26:45.840 --> 0:26:49.240
<v Speaker 11>quartile of relative forward PE or even relative trailing PE,

0:26:49.520 --> 0:26:52.040
<v Speaker 11>and you're now into that muddy middle, you usually have

0:26:52.119 --> 0:26:55.520
<v Speaker 11>a positive risk reward to the extent that fundamentals continue

0:26:55.560 --> 0:26:56.440
<v Speaker 11>to improve.

0:26:56.960 --> 0:27:00.119
<v Speaker 3>And the positive risk reward dominates in any of a

0:27:00.200 --> 0:27:04.120
<v Speaker 3>part of technology. Are we still thinking hardware the pix

0:27:04.200 --> 0:27:08.320
<v Speaker 3>and shovels where we reallocate or do software, which hasn't

0:27:08.320 --> 0:27:11.000
<v Speaker 3>had so much whiplash continue to support too.

0:27:11.880 --> 0:27:14.159
<v Speaker 11>Yeah, So I think software looks the most intriguing in

0:27:14.200 --> 0:27:16.080
<v Speaker 11>my data set. So again we have the data going

0:27:16.119 --> 0:27:18.800
<v Speaker 11>back to nineteen sixty two, and once you're into that

0:27:18.880 --> 0:27:22.159
<v Speaker 11>bottom half of the distribution on any valuation measure, and

0:27:22.240 --> 0:27:25.560
<v Speaker 11>software is there. So you're getting in again cheap relative

0:27:25.640 --> 0:27:28.880
<v Speaker 11>to usually wear software trades. You usually have a positive

0:27:28.960 --> 0:27:32.360
<v Speaker 11>risk reward. Again, you don't have to necessarily be right

0:27:32.400 --> 0:27:35.520
<v Speaker 11>on fundamentals because you have above fifty to fifty ydds

0:27:35.520 --> 0:27:39.120
<v Speaker 11>of outperformance even if fundamentals tend to deteriorate. This isn't

0:27:39.160 --> 0:27:41.480
<v Speaker 11>to say that software is set up to outperform right

0:27:41.520 --> 0:27:43.800
<v Speaker 11>this second, but it is to say that it looks

0:27:43.840 --> 0:27:47.000
<v Speaker 11>like from a historical context your downside is limited and

0:27:47.040 --> 0:27:48.919
<v Speaker 11>to the extent that you have a call option for

0:27:48.960 --> 0:27:53.040
<v Speaker 11>future growth, your upside is actually shifting the positive risk reward.

0:27:53.080 --> 0:27:56.720
<v Speaker 11>So I think that of the three major subsectors, hardware

0:27:56.760 --> 0:27:59.840
<v Speaker 11>software and semiconductor software looks the most intriguing to me.

0:28:00.200 --> 0:28:02.520
<v Speaker 3>A glasshow full kind of a feeling coming from Denise,

0:28:02.600 --> 0:28:04.280
<v Speaker 3>We thank you so much, enjoying the show. As always,

0:28:04.320 --> 0:28:09.000
<v Speaker 3>dnis Chism of Fidelity Investments, Now I'll invest. Kathy would

0:28:09.040 --> 0:28:12.439
<v Speaker 3>actually spoke exclusively with Bloomberg over at the HSBC Global

0:28:12.440 --> 0:28:15.520
<v Speaker 3>investors someone in Hong Kong to discuss the global economic outlook.

0:28:15.560 --> 0:28:17.520
<v Speaker 3>Let's give the context of how AI can help in

0:28:17.560 --> 0:28:18.080
<v Speaker 3>the long term.

0:28:18.119 --> 0:28:18.720
<v Speaker 2>Just take a listen.

0:28:19.640 --> 0:28:22.000
<v Speaker 6>We think the economy is getting hit by a lot

0:28:23.320 --> 0:28:27.439
<v Speaker 6>of uncertainty, and I think a lot of people are

0:28:27.480 --> 0:28:30.919
<v Speaker 6>scared for their jobs. In the US, anyone involved with

0:28:30.960 --> 0:28:34.880
<v Speaker 6>the government, so federal, state, and local or quasi government

0:28:34.880 --> 0:28:38.240
<v Speaker 6>in the healthcare and education space. You know, there could

0:28:38.240 --> 0:28:41.480
<v Speaker 6>be as much as thirty percent of the labor force

0:28:41.520 --> 0:28:45.160
<v Speaker 6>in the United States. And then we've got AI as

0:28:45.480 --> 0:28:51.080
<v Speaker 6>another layer of uncertainty. We're seeing middle management teams actually

0:28:51.160 --> 0:28:56.800
<v Speaker 6>being let go because of the productivity gains associated with AI.

0:28:57.200 --> 0:28:59.520
<v Speaker 6>You know, their bosses can handle more and more and

0:28:59.680 --> 0:29:02.920
<v Speaker 6>more over time. So that's another source of uncertainty, but

0:29:03.080 --> 0:29:06.960
<v Speaker 6>we think that is going to play out positively longer term.

0:29:07.040 --> 0:29:13.200
<v Speaker 6>Technology and breakthroughs in technologies are always associated with new

0:29:13.320 --> 0:29:17.320
<v Speaker 6>jobs that we can't even imagine. We're very impressed by

0:29:17.360 --> 0:29:20.680
<v Speaker 6>what is going on in China, and of course there

0:29:20.760 --> 0:29:24.520
<v Speaker 6>was the Deep Seek moment, which for China, or it

0:29:24.560 --> 0:29:27.280
<v Speaker 6>was the equivalent in China for the and the rest

0:29:27.280 --> 0:29:32.160
<v Speaker 6>of the world. That chat GPT was in late twenty two.

0:29:32.200 --> 0:29:34.040
<v Speaker 6>I think so that was a big wake up call.

0:29:34.120 --> 0:29:37.080
<v Speaker 6>And one of the things we learned so interesting is

0:29:37.120 --> 0:29:43.040
<v Speaker 6>that yes, they may have done it less expensively, maybe

0:29:43.320 --> 0:29:46.320
<v Speaker 6>much less expensively. We're not quite sure about that, but

0:29:46.680 --> 0:29:52.160
<v Speaker 6>the algorithm very creative. It had not been created in

0:29:52.200 --> 0:29:55.320
<v Speaker 6>the West. This is from China. It is open source.

0:29:55.720 --> 0:29:58.120
<v Speaker 6>So now everyone is starting to use it. They say,

0:29:58.160 --> 0:30:02.160
<v Speaker 6>we love that idea and we're it. So what we've

0:30:02.200 --> 0:30:05.360
<v Speaker 6>also learned and did not know until we started studying

0:30:05.360 --> 0:30:08.400
<v Speaker 6>this open source movement here in China is that it

0:30:08.520 --> 0:30:13.520
<v Speaker 6>really started a decade ago because a lot of software

0:30:13.560 --> 0:30:17.640
<v Speaker 6>providers from the Western world we're not providing their software

0:30:17.680 --> 0:30:21.640
<v Speaker 6>to China out of fear of IP theft. So China said, okay,

0:30:21.960 --> 0:30:25.840
<v Speaker 6>let's do it ourselves and move open source. I love

0:30:25.880 --> 0:30:28.640
<v Speaker 6>open source and I think it's going to create a

0:30:28.760 --> 0:30:32.920
<v Speaker 6>lot of competition out there, which when it comes to innovation,

0:30:33.200 --> 0:30:36.440
<v Speaker 6>is a very good thing, especially for the end consumer.

0:30:37.400 --> 0:30:40.760
<v Speaker 3>I'll convess Kathy with there. Let's keep talking about competition.

0:30:41.360 --> 0:30:45.640
<v Speaker 3>Stick with chatchibt in the impact. For decades, Google dominated

0:30:45.640 --> 0:30:49.720
<v Speaker 3>online search, and now Generator AI and the competitiveness coming

0:30:49.720 --> 0:30:52.239
<v Speaker 3>from open AI are forcing the company to rethink it's

0:30:52.320 --> 0:30:55.920
<v Speaker 3>most well known product. Blue Meg's Julia Love joins us

0:30:55.960 --> 0:31:00.520
<v Speaker 3>now today Bloomg's big take, and Elizabeth Read is a

0:31:00.520 --> 0:31:03.240
<v Speaker 3>Google veteran that you really shine a light on in

0:31:03.240 --> 0:31:06.680
<v Speaker 3>your Bloomberg BusinessWeek story because she's now got some big

0:31:06.720 --> 0:31:09.040
<v Speaker 3>overhauls to do and she's doing them.

0:31:09.680 --> 0:31:14.080
<v Speaker 12>Yes, so Liz Read is a fascinating rising star within

0:31:14.280 --> 0:31:18.680
<v Speaker 12>doodle She is now in the top job leading doodle Search.

0:31:19.200 --> 0:31:22.680
<v Speaker 12>And she came to this role from the Maps division.

0:31:22.800 --> 0:31:25.960
<v Speaker 12>That's where she spent most of her career. And so

0:31:26.560 --> 0:31:29.360
<v Speaker 12>while she knew searched very well, she was a little

0:31:29.360 --> 0:31:32.360
<v Speaker 12>bit less wedded to some of the traditional ways of

0:31:32.440 --> 0:31:36.520
<v Speaker 12>doing things, and she brought a more experimental spirit that

0:31:36.640 --> 0:31:39.520
<v Speaker 12>has been really crucial in this new age when so

0:31:39.640 --> 0:31:43.240
<v Speaker 12>many of the basics about search are being challenged.

0:31:43.040 --> 0:31:47.280
<v Speaker 3>And here comes AI overviews for example. Now, just go

0:31:47.360 --> 0:31:49.800
<v Speaker 3>back in history a little bit and talk about why

0:31:49.840 --> 0:31:53.840
<v Speaker 3>there was a lack of well real innovation on the

0:31:53.880 --> 0:31:57.600
<v Speaker 3>product side of things. Why were people curtailed from upending

0:31:57.640 --> 0:31:59.880
<v Speaker 3>what we all knew and understood in terms of the

0:32:00.040 --> 0:32:00.640
<v Speaker 3>blue links.

0:32:02.600 --> 0:32:06.960
<v Speaker 12>Yes, with our reporting, we actually unearthed some new examples

0:32:07.000 --> 0:32:10.960
<v Speaker 12>of how doodle search employees were pushing to roll out

0:32:11.000 --> 0:32:15.280
<v Speaker 12>generative AI and search well before the launch of chat GPT,

0:32:15.920 --> 0:32:18.360
<v Speaker 12>but they faced a lot of resistance. I think there

0:32:18.440 --> 0:32:21.560
<v Speaker 12>was a lot of self regulation happening that Doodlers just

0:32:21.640 --> 0:32:28.000
<v Speaker 12>weren't inclined to challenge the company's fundamental business model. Executives

0:32:28.000 --> 0:32:31.520
<v Speaker 12>were also concerned about whether the technology could deliver the

0:32:31.560 --> 0:32:35.360
<v Speaker 12>necessary level of accuracy because people just hold Doodle to

0:32:35.480 --> 0:32:37.840
<v Speaker 12>such a high bar, a much higher bar than a

0:32:37.880 --> 0:32:39.000
<v Speaker 12>startup would be held too.

0:32:40.000 --> 0:32:43.440
<v Speaker 3>And there's the frustration that actually their transformers innovation is

0:32:43.480 --> 0:32:46.480
<v Speaker 3>then used by someone else. But the question is monetization.

0:32:46.680 --> 0:32:48.480
<v Speaker 3>Have they really got to the bottom of that, because

0:32:48.520 --> 0:32:50.800
<v Speaker 3>many a warrant. What about the ads that you can

0:32:50.800 --> 0:32:52.080
<v Speaker 3>put into an AI overview?

0:32:53.800 --> 0:32:57.160
<v Speaker 12>Yes, I think that remains the big question. Doodle has

0:32:57.240 --> 0:33:02.040
<v Speaker 12>incorporated ads into AI over views and so far their

0:33:02.120 --> 0:33:05.200
<v Speaker 12>search market share is pretty much unchanged, but there are

0:33:05.240 --> 0:33:09.560
<v Speaker 12>some concerns among analysts that growth in search will begin

0:33:10.080 --> 0:33:15.240
<v Speaker 12>to level off, and in the meantime, Goodle's embrace of

0:33:15.360 --> 0:33:19.240
<v Speaker 12>generative artificial intelligence is raising huge concerns for all of

0:33:19.240 --> 0:33:22.480
<v Speaker 12>the publishers who depend on Doodle for traffic.

0:33:22.960 --> 0:33:26.400
<v Speaker 3>It's a fascinating story. Deep read go take it on

0:33:26.520 --> 0:33:27.200
<v Speaker 3>with Julia Love.

0:33:27.280 --> 0:33:27.680
<v Speaker 4>We thank you.

0:33:28.360 --> 0:33:31.680
<v Speaker 3>Coming up, US drone makers are battling for a biggest

0:33:31.680 --> 0:33:34.040
<v Speaker 3>share with the domestic market. I'll speak with Scudio CEO

0:33:34.400 --> 0:33:35.400
<v Speaker 3>about the growth.

0:33:35.160 --> 0:33:49.280
<v Speaker 4>And Chinese competition. That's next. This is Blue Meg Technology.

0:33:51.240 --> 0:33:54.600
<v Speaker 3>The global drone market is dominated by Chinese makers, but

0:33:54.640 --> 0:33:57.480
<v Speaker 3>there were growing efforts by US rulemakers, defense strands, and

0:33:57.600 --> 0:34:01.080
<v Speaker 3>startups to gain a bigger foothold in markets.

0:34:00.720 --> 0:34:02.080
<v Speaker 4>Including the US domestic.

0:34:02.120 --> 0:34:04.840
<v Speaker 3>One showing US now is Adam Murrie, the CEO of

0:34:04.920 --> 0:34:08.240
<v Speaker 3>drone maker Skuydio, and I love a quote that you've

0:34:08.560 --> 0:34:12.240
<v Speaker 3>been making saying that basically drones are revolving from toys

0:34:12.239 --> 0:34:15.279
<v Speaker 3>to tools to infrastructure. Well, how do you break down

0:34:15.320 --> 0:34:17.799
<v Speaker 3>your growth right now in those three contexts.

0:34:19.360 --> 0:34:22.120
<v Speaker 13>So I think we're at a really exciting moment for

0:34:22.160 --> 0:34:26.040
<v Speaker 13>the industry where historically drones have been manually flown. You know,

0:34:26.040 --> 0:34:27.760
<v Speaker 13>if you're using it for work, you send an operator

0:34:27.800 --> 0:34:29.520
<v Speaker 13>out in the field to fly the drone, and people

0:34:29.520 --> 0:34:31.480
<v Speaker 13>have done all kinds of amazing things and that kind

0:34:31.480 --> 0:34:34.160
<v Speaker 13>of operating paradigm. But the big shift that we're seeing

0:34:34.200 --> 0:34:36.600
<v Speaker 13>now is you can put the drone in a docking station.

0:34:37.160 --> 0:34:40.160
<v Speaker 13>It can be flown remotely and autonomously. It basically becomes

0:34:40.200 --> 0:34:43.520
<v Speaker 13>a fully autonomous robotic system. And the impact and the

0:34:43.640 --> 0:34:45.879
<v Speaker 13>use cases that you unlock when you do that are

0:34:45.920 --> 0:34:49.120
<v Speaker 13>just incredible. So one of the areas where we're seeing

0:34:49.160 --> 0:34:51.560
<v Speaker 13>this accelerate the most is in public safety, where you

0:34:51.600 --> 0:34:54.200
<v Speaker 13>could put drones in docking stations and they can autonomously

0:34:54.239 --> 0:34:56.719
<v Speaker 13>fly out in response to nine one one calls and

0:34:56.840 --> 0:34:59.000
<v Speaker 13>just fundamentally change the outcome because they can get there

0:34:59.000 --> 0:35:01.680
<v Speaker 13>in a few seconds. They give the responding officers better

0:35:01.760 --> 0:35:04.960
<v Speaker 13>situational awareness. And you know, I think we're at the

0:35:04.960 --> 0:35:08.879
<v Speaker 13>beginning of this just entirely new chapter drones is infrastructure.

0:35:09.840 --> 0:35:13.279
<v Speaker 3>Talk to us about the chapter of US versus Chinese

0:35:13.320 --> 0:35:17.520
<v Speaker 3>main drones in this police and fire department demand. How

0:35:17.640 --> 0:35:19.319
<v Speaker 3>much are you now able to fulfill it?

0:35:21.000 --> 0:35:23.239
<v Speaker 13>So there's interesting historical context here. So if you think

0:35:23.239 --> 0:35:25.880
<v Speaker 13>about what a drone is, at its core, it's basically

0:35:25.920 --> 0:35:30.279
<v Speaker 13>consumer electronics combined with a radio control airplane a radio

0:35:30.280 --> 0:35:33.640
<v Speaker 13>control helicopter. That's the origin of the industry, and historically

0:35:33.640 --> 0:35:36.279
<v Speaker 13>both those things have been made in China, and so

0:35:36.440 --> 0:35:39.359
<v Speaker 13>the Chinese companies really got out to a substantial early lead,

0:35:39.520 --> 0:35:42.480
<v Speaker 13>especially in the kind of toy market and then the

0:35:43.160 --> 0:35:47.120
<v Speaker 13>tools market. You know, we believe very strongly it's critical

0:35:47.200 --> 0:35:50.000
<v Speaker 13>that there are strong US companies, strong Western companies that

0:35:50.040 --> 0:35:52.759
<v Speaker 13>can provide this technology. I think we're it's still early

0:35:52.880 --> 0:35:54.480
<v Speaker 13>days to the industry. It's going to become more and

0:35:54.480 --> 0:35:55.640
<v Speaker 13>more important over time.

0:35:55.680 --> 0:35:56.160
<v Speaker 4>You know, we're.

0:35:56.040 --> 0:36:00.640
<v Speaker 13>Installing these things across our cities, across critical infrastructure, and

0:36:00.360 --> 0:36:03.560
<v Speaker 13>the risks from a data perspective, from a national security perspective,

0:36:03.560 --> 0:36:08.120
<v Speaker 13>from a cybersecurity perspective, are substantial. Our goal is to

0:36:08.160 --> 0:36:10.080
<v Speaker 13>build the best products in the world for this new

0:36:10.160 --> 0:36:12.600
<v Speaker 13>chapter of drones right here in the US. We made

0:36:12.680 --> 0:36:15.160
<v Speaker 13>very big early bets on AI and autonomy when we

0:36:15.160 --> 0:36:17.520
<v Speaker 13>started the company ten years ago, and we're now at

0:36:17.520 --> 0:36:20.360
<v Speaker 13>the moment where we're starting those to see those payoff.

0:36:20.760 --> 0:36:23.560
<v Speaker 3>Yeah, and talk about the payoff though, because when we

0:36:23.600 --> 0:36:25.800
<v Speaker 3>think about what China has done so well, it is

0:36:25.840 --> 0:36:29.319
<v Speaker 3>about efficiency. It is about the scale at which they've

0:36:29.320 --> 0:36:32.760
<v Speaker 3>been able to streamline production. How are you now managing

0:36:32.800 --> 0:36:34.480
<v Speaker 3>to replicate that here in the US.

0:36:35.200 --> 0:36:36.640
<v Speaker 13>So you know, this is not the kind of thing

0:36:36.680 --> 0:36:40.319
<v Speaker 13>that's going to happen overnight. The strength of China and

0:36:40.360 --> 0:36:42.600
<v Speaker 13>the Chinese companies that we compete with is definitely in

0:36:42.640 --> 0:36:46.080
<v Speaker 13>their hardware scale, their cost leverage, you know, the hardware

0:36:46.120 --> 0:36:49.359
<v Speaker 13>ecosystem that they're taking advantage of in China. We've been

0:36:49.360 --> 0:36:52.120
<v Speaker 13>manufacturing our drones in the US from the beginning. You know,

0:36:52.120 --> 0:36:54.239
<v Speaker 13>we didn't start doing this honestly because we thought it

0:36:54.280 --> 0:36:56.520
<v Speaker 13>was going to be critical from a national security perspective.

0:36:56.560 --> 0:36:58.600
<v Speaker 13>We started doing it because we felt like it was

0:36:58.640 --> 0:37:01.239
<v Speaker 13>the best way to build the best product. And we've

0:37:01.239 --> 0:37:02.799
<v Speaker 13>gotten to the point now where we ship close to

0:37:02.840 --> 0:37:05.200
<v Speaker 13>fifty thousand drones, which is still small relative to our

0:37:05.520 --> 0:37:11.120
<v Speaker 13>Chinese competitors, but our market share in the enterprise segments

0:37:11.160 --> 0:37:14.400
<v Speaker 13>that we focus on, you know, public safety, critical infrastructure

0:37:14.400 --> 0:37:17.080
<v Speaker 13>like energy utilities is substantial, and the more scale we

0:37:17.080 --> 0:37:19.160
<v Speaker 13>get up to, the more cost advantages that we get,

0:37:19.200 --> 0:37:21.720
<v Speaker 13>I think from a capability standpoint now, just on the hardware,

0:37:22.600 --> 0:37:24.880
<v Speaker 13>you know, we've we've gotten to be very competitive with

0:37:24.880 --> 0:37:27.279
<v Speaker 13>the Chinese companies, and we have more advance capabilities in

0:37:27.320 --> 0:37:31.080
<v Speaker 13>AI and autonomy, so you know, it's it's it's tough

0:37:31.120 --> 0:37:33.840
<v Speaker 13>competition for sure. You know, we have the exciting position

0:37:33.880 --> 0:37:37.279
<v Speaker 13>of being the US underdog against big Chinese incumbents. But

0:37:37.880 --> 0:37:39.640
<v Speaker 13>I feel very good about our position. And I think

0:37:39.719 --> 0:37:43.359
<v Speaker 13>especially as these things become more air driven, more autonomous,

0:37:43.719 --> 0:37:46.120
<v Speaker 13>more and more the capabilities to find through software that

0:37:46.400 --> 0:37:48.719
<v Speaker 13>really plays to our strengths as a country and as

0:37:48.719 --> 0:37:49.160
<v Speaker 13>a company.

0:37:49.280 --> 0:37:52.040
<v Speaker 3>Are they becoming ever more supported by the administration. What's

0:37:52.080 --> 0:37:52.839
<v Speaker 3>on your wish list?

0:37:54.560 --> 0:37:57.160
<v Speaker 13>Well, look, we're you know, we're a product and technology company.

0:37:57.160 --> 0:38:00.000
<v Speaker 13>We're really focused on, you know, on making our products

0:38:00.000 --> 0:38:03.520
<v Speaker 13>as useful as they can be. I think that, you know,

0:38:03.880 --> 0:38:07.720
<v Speaker 13>looking back now, I think the first Trump administration deserves

0:38:07.760 --> 0:38:11.719
<v Speaker 13>a lot of credit for recognizing the nature of competition

0:38:11.760 --> 0:38:15.279
<v Speaker 13>with China, the kind of unfair trade practices that they

0:38:15.280 --> 0:38:17.640
<v Speaker 13>had been partaking in, and that has now become kind

0:38:17.640 --> 0:38:20.520
<v Speaker 13>of mainstream consensus view. I will say with the new administration,

0:38:20.560 --> 0:38:22.560
<v Speaker 13>we're very optimistic about seeing a lot of people from

0:38:22.560 --> 0:38:24.440
<v Speaker 13>the tech world in there that I think really understand

0:38:24.480 --> 0:38:28.839
<v Speaker 13>that technology at a deep level. And you know, it's

0:38:28.840 --> 0:38:31.440
<v Speaker 13>still early days, but we're optimistic.

0:38:32.280 --> 0:38:35.640
<v Speaker 3>Skydio CEO Adam Ray, thanks for the optimism and for

0:38:35.719 --> 0:38:46.319
<v Speaker 3>joining us. Levittown It's a new six part podcast series

0:38:46.320 --> 0:38:49.840
<v Speaker 3>from Bloomberg investigating the rise of deep fake pornography online.

0:38:49.920 --> 0:38:51.200
<v Speaker 4>It tells a story of a group.

0:38:51.040 --> 0:38:54.360
<v Speaker 3>Of young women in a New York City suburb, horrified

0:38:54.640 --> 0:38:57.560
<v Speaker 3>to learn that their photographs have been manipulated and posted online,

0:38:57.600 --> 0:39:01.240
<v Speaker 3>and how they took matters into their own handsmerg's Margie

0:39:01.280 --> 0:39:04.080
<v Speaker 3>Murphy joins us. Now for more, you go back to

0:39:04.160 --> 0:39:08.120
<v Speaker 3>twenty twenty. You discuss how female called Kayla in particular,

0:39:08.280 --> 0:39:11.680
<v Speaker 3>finds a manipulated photo of herself online.

0:39:11.800 --> 0:39:13.520
<v Speaker 4>But this is a global.

0:39:13.120 --> 0:39:15.600
<v Speaker 3>Story of issues of deep fake pornography.

0:39:15.600 --> 0:39:17.040
<v Speaker 4>But start here in Levittown.

0:39:18.239 --> 0:39:22.200
<v Speaker 2>Absolutely, I mean, we start with Kayla and just to

0:39:22.600 --> 0:39:26.680
<v Speaker 2>it's not even Kayla who discovers a seemingly pornographic image

0:39:26.719 --> 0:39:27.880
<v Speaker 2>of herself, it's her father.

0:39:28.120 --> 0:39:28.920
<v Speaker 4>And we take you.

0:39:28.920 --> 0:39:31.840
<v Speaker 2>Back into her bedroom when her father comes in, hands

0:39:31.880 --> 0:39:34.319
<v Speaker 2>her a phone and says, what is this? And then

0:39:34.400 --> 0:39:37.000
<v Speaker 2>we unravel what kind of becomes this horror story that

0:39:37.560 --> 0:39:42.560
<v Speaker 2>engofs dozens of women in Leavittown, but they later realize

0:39:42.680 --> 0:39:46.360
<v Speaker 2>they're part of this small network, kind of global clearing

0:39:46.400 --> 0:39:50.000
<v Speaker 2>house of deep fake pornography, non consensual deep fake pornography,

0:39:50.160 --> 0:39:54.760
<v Speaker 2>revenge porn harassment, all connected to one website, which Olivia

0:39:54.800 --> 0:39:58.600
<v Speaker 2>and I try to find out more about and meet

0:39:58.640 --> 0:40:02.600
<v Speaker 2>lots of investigators, prosecutors, victims all around the world.

0:40:03.120 --> 0:40:05.280
<v Speaker 3>Of course, you've been doing your work with Olivia Carvill

0:40:05.480 --> 0:40:09.200
<v Speaker 3>here at Bloomberg and the Story podcast of course based

0:40:09.200 --> 0:40:11.640
<v Speaker 3>in twenty twenty and then you wrote up a key

0:40:11.680 --> 0:40:14.560
<v Speaker 3>piece in twenty twenty three. But is this all still

0:40:14.680 --> 0:40:17.719
<v Speaker 3>an issue that we're currently seeing right?

0:40:17.880 --> 0:40:21.080
<v Speaker 2>So the story that we're covering began in twenty twenty,

0:40:21.320 --> 0:40:23.880
<v Speaker 2>we reported on it twenty twenty three, and now twenty

0:40:23.960 --> 0:40:26.719
<v Speaker 2>twenty five we've got this podcast coming out. A lot

0:40:26.760 --> 0:40:31.359
<v Speaker 2>has changed. The problem has not gone away. We've seen

0:40:31.440 --> 0:40:35.800
<v Speaker 2>dozens of school cases where there's been children deep faking

0:40:35.840 --> 0:40:40.520
<v Speaker 2>their classmates. We're hearing obviously more about celebrity nonconsensual deep

0:40:40.560 --> 0:40:43.640
<v Speaker 2>fake pornography. And this is amidst the kind of rise

0:40:43.680 --> 0:40:48.000
<v Speaker 2>of generative AI improvements in technology. And we got a

0:40:48.040 --> 0:40:51.560
<v Speaker 2>figure recently from a traffic analysis company that showed that

0:40:51.960 --> 0:40:55.359
<v Speaker 2>there was a six hundred percent increase from last year

0:40:55.800 --> 0:40:58.560
<v Speaker 2>for newdifying apps. And those apps are the kind of

0:40:59.320 --> 0:41:02.680
<v Speaker 2>their like phone apps, that are very easily accessible, and

0:41:02.719 --> 0:41:05.000
<v Speaker 2>what they do is you can just screenshot a photo

0:41:05.080 --> 0:41:08.239
<v Speaker 2>from someone's social media account, run it through the app,

0:41:08.320 --> 0:41:11.200
<v Speaker 2>and minutes you've removed the person in the photos clothes.

0:41:11.480 --> 0:41:13.520
<v Speaker 2>So a lot of those apps are involved in these

0:41:14.080 --> 0:41:17.919
<v Speaker 2>school cases and those are just completely soaring in popularity,

0:41:18.320 --> 0:41:19.719
<v Speaker 2>very cheap and easy to use.

0:41:20.200 --> 0:41:26.480
<v Speaker 3>Briefly, law enforcement is targeting it, the government targeting it.

0:41:26.480 --> 0:41:33.160
<v Speaker 2>It's been a challenge and we've spoken to law enforces, cops, prosecutors,

0:41:33.760 --> 0:41:38.880
<v Speaker 2>law makers. Internationally, it's challenging because there are patchwork laws

0:41:39.200 --> 0:41:42.120
<v Speaker 2>in different countries, in different states. In the US, they

0:41:42.120 --> 0:41:46.200
<v Speaker 2>have different laws. Right now, there is hope that an

0:41:46.280 --> 0:41:50.760
<v Speaker 2>actual federal law will be brought into force. It passed

0:41:50.800 --> 0:41:53.680
<v Speaker 2>a bill passed through the Senate last month and it

0:41:53.719 --> 0:41:57.000
<v Speaker 2>will go through the House this month, hopefully to take

0:41:57.040 --> 0:42:02.719
<v Speaker 2>it Down Act, which would put pressure on the platforms

0:42:02.880 --> 0:42:05.520
<v Speaker 2>where these images are being shared to take the images

0:42:05.560 --> 0:42:08.680
<v Speaker 2>down as quickly as possible and also penalize the piece

0:42:08.800 --> 0:42:10.040
<v Speaker 2>for the people posting them.

0:42:10.400 --> 0:42:12.840
<v Speaker 3>The right time to catch your full Big Take podcast

0:42:12.880 --> 0:42:15.200
<v Speaker 3>series therefore on Spotify and iHeart, We thank you.

0:42:15.840 --> 0:42:17.320
<v Speaker 4>This is remote technology.