WEBVTT - BI Weekend: Nvidia Chips, Dating Apps, Tesla Vote 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. This is Bloomberg Intelligence

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<v Speaker 1>with Paul Sweeney.

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<v Speaker 2>The real app performance has been the US corporate high yield.

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<v Speaker 2>These are two big time blue chip companies. One person's

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<v Speaker 2>cast is another person's animal spirits breaking market.

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<v Speaker 1>Headlines and corporate news from across the globe.

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<v Speaker 3>Our view is, if the economy is slowing down.

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<v Speaker 1>There is the possibility of the debt spirals.

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<v Speaker 4>Both putum competing and AI are going to power the future.

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<v Speaker 2>People are just buying everything with tax Bloomberg.

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<v Speaker 1>Intelligence with Paul Sweeney on Bloomberg Radio, YouTube and Bloomberg

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<v Speaker 1>Originals on Paul.

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<v Speaker 4>Sweeney and I'm Lis Matteo filling in on Bloomberg Intelligence.

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<v Speaker 2>On today's show, we dig inside the big business stories

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<v Speaker 2>impacting Wall Street and the global markets. Each and every

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<v Speaker 2>week we provide in dept with research and date on

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<v Speaker 2>some of the two thousand companies in one hundred and

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<v Speaker 2>thirty industries our animals cover worldwide. Today, we'll look at

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<v Speaker 2>Bloomberg Intelligence deep dive into aiding apps and how gen

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<v Speaker 2>Z is using them.

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<v Speaker 4>Plus a look at how Trump administration policies are impacting

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<v Speaker 4>the transition to clean power.

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<v Speaker 2>First, we begin with the tech sector.

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<v Speaker 4>Well, this week we heard that tech giants Nvidia and

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<v Speaker 4>AMD they plan to resume sales of some AI chips

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<v Speaker 4>in China. This came after US government officials told the

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<v Speaker 4>companies these shipments would get approved for.

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<v Speaker 2>More at least than I were joined by Mandeep seeing

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<v Speaker 2>Bloomberg Intelligence senior tech industry analysts.

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<v Speaker 4>We first asked Mandeep to explain the policies of the

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<v Speaker 4>US government as it relates to chips.

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<v Speaker 5>In mid April, the current administration banned the sale of

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<v Speaker 5>Nvidia H twenty chips. And remember H twenty is a

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<v Speaker 5>deprecated version of the Hopper two hundred chip that Nvidia

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<v Speaker 5>sells in the US and other markets. So it's not

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<v Speaker 5>the highest hip in terms of performance and power consumption.

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<v Speaker 5>But at the same time, what they were able to

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<v Speaker 5>do is to sell this deprecated verd and for a

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<v Speaker 5>while and then since mid April it was completely banned.

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<v Speaker 5>And so what Nvidia did was they took down the

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<v Speaker 5>guidance and they pretty much rode off. The inventory of

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<v Speaker 5>the EDH twenty chips for their one Q party was

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<v Speaker 5>around two point one billion for one queue and then

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<v Speaker 5>for two Q they guided for an eight billion dollar

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<v Speaker 5>sort of headwind from the lack of sales to the

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<v Speaker 5>China region. Now with this new guideline around Nvidia being

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<v Speaker 5>able to sell those edged twenty chips, I believe it's

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<v Speaker 5>a similar version to what they were selling before. I

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<v Speaker 5>think you could pretty much add you know, I would

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<v Speaker 5>say up to a twenty five billion dollar run rate

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<v Speaker 5>annually in terms of sales to China. So think of

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<v Speaker 5>Nvidia sales next year are going to be around two

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<v Speaker 5>hundred and fifty billion. That's the current consensus US add

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<v Speaker 5>twenty five billion dollars to that because that's how much

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<v Speaker 5>they are able to sell to China as of right now.

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<v Speaker 5>It could be much higher, but at least a ten

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<v Speaker 5>percent lift from being able to sell into China with

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<v Speaker 5>these kind of lighter version of their highest end chips.

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<v Speaker 5>So I think it's a net positive. Same thing for

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<v Speaker 5>AMDMD the market is much smaller for them given their

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<v Speaker 5>market share in GPUs, but I would say AMD would

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<v Speaker 5>get a similar lift at least ten percent of their

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<v Speaker 5>sales expectations.

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<v Speaker 4>So is there a difference between what Nvidia can sell

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<v Speaker 4>and what AMD can sell in China? Is it about

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<v Speaker 4>the same as far what the white House would say.

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<v Speaker 5>So. AMD also has a deprecated version of their highest

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<v Speaker 5>stand chips that they're selling into the US market as well,

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<v Speaker 5>just because the administration doesn't want either AMD or Nvidia

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<v Speaker 5>to sell their highest and chip that's made on three

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<v Speaker 5>nanometers note that has got a search to performance PEC

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<v Speaker 5>and so they don't want the latest technology to be

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<v Speaker 5>sold into the China region. What they're okay with is

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<v Speaker 5>an older version of Nvidia chips that doesn't have the

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<v Speaker 5>same level of performance as the current version, and that

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<v Speaker 5>they can sell into these Chinese companies, and the administration

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<v Speaker 5>is okay with that, all.

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<v Speaker 2>Right, man, Deep, I have no idea why the government's

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<v Speaker 2>changing its policy, but it's good for these companies negotiations certainly,

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<v Speaker 2>so we'll keep it on that. Do we know just

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<v Speaker 2>off and why they change the policy.

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<v Speaker 5>I mean, it's part of the bigger negotiation. The administration

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<v Speaker 5>is focused on building more data centers here in the

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<v Speaker 5>US for them for the companies to be able to

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<v Speaker 5>do that meta talking about superintelligence and you know all

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<v Speaker 5>the capex spen they need some stuff from China as well.

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<v Speaker 5>So this is more about you have the rare earth stuff.

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<v Speaker 5>We have the chips and it's part of the bigger negotiation.

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<v Speaker 4>Our thanks to man deep seeing Bloomberg Intelligence senior tech

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<v Speaker 4>industry analyst.

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<v Speaker 2>We recently focused on a Bloomberg story entitled Stealth Steak

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<v Speaker 2>Sales Health, United Health beat Wall Street Targets.

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<v Speaker 4>You can find it on the Bloomberg Terminal and Bloomberg

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<v Speaker 4>dot com. It discusses how until this year, United Health

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<v Speaker 4>Group had managed to pull off an impressive feat more

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<v Speaker 4>than sixty consecutive quarters of earnings that beat Wall Street estimates, but.

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<v Speaker 2>Now analysts are starting to question how United Health is

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<v Speaker 2>arriving at these numbers for more. Atleasta and I were

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<v Speaker 2>joined by Michelle Davis, Bloomberg senior deals reporter.

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<v Speaker 4>We first asked Michelle about what she found out when

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<v Speaker 4>she looked into United Health's earnings.

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<v Speaker 6>They had kind of a pristine record for more than

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<v Speaker 6>sixty quarters. They beat estimates. Analysts love them, and at

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<v Speaker 6>the end of last year that got a bit harder

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<v Speaker 6>for them to keep up. You know, medical costs arising,

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<v Speaker 6>the government's been cracking down on reinforcements and that was

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<v Speaker 6>eating into profits. And so what we reported is that

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<v Speaker 6>at the end of last year they approached several private

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<v Speaker 6>equity firms and asked them if they wanted to buy

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<v Speaker 6>stakes off of them of their businesses, and a couple

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<v Speaker 6>interesting things happen here. Not only did they quietly do this,

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<v Speaker 6>but the deals were structured such that United Health can

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<v Speaker 6>be forced to buy the businesses back down the road,

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<v Speaker 6>so it's temporary in nature. And United booked the gains

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<v Speaker 6>in an interesting place. They booked them as part of

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<v Speaker 6>operating earnings, which is or adjusted earnings, which is normally

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<v Speaker 6>where you look to see kind of how a business

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<v Speaker 6>is doing, you know, excluding one off gains or one

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<v Speaker 6>off events like this, And so it was just interesting

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<v Speaker 6>to see not only the fact that they stealthily did this,

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<v Speaker 6>but where they put them. And without these gains, they

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<v Speaker 6>would have missed estimates and profit would have dropped in

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<v Speaker 6>the last quarter of last year.

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<v Speaker 4>So, as I'm going through this article, this certain quote

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<v Speaker 4>stands out for me From an analyst that you spoke to.

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<v Speaker 4>He said, if the company is manufacturing earnings by chopping

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<v Speaker 4>up their furniture or selling their assets, that's not exactly

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<v Speaker 4>a great business model. Okay, so is the risk that

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<v Speaker 4>it might be kind of masking this weakness in the operations.

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<v Speaker 6>That's the concern, and to be clear, you know, there's

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<v Speaker 6>nothing illegal about what they're doing, per se. You know,

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<v Speaker 6>they disclosed that they did this, most people didn't see it.

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<v Speaker 6>It was in a footnote in their ten K that

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<v Speaker 6>kind of went under the radar, and there are no

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<v Speaker 6>details about what exactly they sold. That's what we're trying

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<v Speaker 6>to you know, report on here. But yeah, the concern

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<v Speaker 6>is it clouds, you know, your ability to see how

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<v Speaker 6>the business is actually performing. And we heard from sources

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<v Speaker 6>that there's a culture inside United Health of you know,

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<v Speaker 6>kind of there being this pressure to do whatever you

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<v Speaker 6>can to meet targets every quarter.

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<v Speaker 7>Yep.

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<v Speaker 2>It's a huge company, huge player in the managed care business.

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<v Speaker 2>What's the underlying concern for investors out there? Do you

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<v Speaker 2>think around this company?

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<v Speaker 6>United Health has been dealing with a lot of things.

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<v Speaker 6>I mean, even before we knew about this, there was

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<v Speaker 6>obviously the tragedy of you know, one of their executives

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<v Speaker 6>being murdered last year, and then you know, there was

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<v Speaker 6>a Wall Street Journal investigation this year about potential medicare fraud,

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<v Speaker 6>which they have denied. They also, in the first courts

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<v Speaker 6>reported their first earnings miss in you know, more than

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<v Speaker 6>sixty quarters, so that shoe finally dropped. They outed their CEO.

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<v Speaker 6>So investors are just concerned about the story here, you know, what,

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<v Speaker 6>what is the United Health story? I think that's what

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<v Speaker 6>the big concern is.

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<v Speaker 4>So are there any other companies, like maybe other health

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<v Speaker 4>companies or something like that where this same story that

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<v Speaker 4>you've been talking about kind of plays out?

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<v Speaker 6>Not that we could find it. Seems like United Health

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<v Speaker 6>is really, you know, unique in its ability and history

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<v Speaker 6>of you know, really carefully managing its reporting every quarter.

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<v Speaker 2>Our thanks to Michelle Davis, Bloomberg Senior Deals reporter, we.

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<v Speaker 4>Move next to the IT space. This week, we heard

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<v Speaker 4>that the IT company, Hewlett Packard Enterprise is creating a

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<v Speaker 4>new strategy committee and HPA is agreeing to work with

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<v Speaker 4>activist investor Elliott Investment Management on ways to help the

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<v Speaker 4>software company boost value for more.

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<v Speaker 2>Lisa and I were joined by Wujin Hope, Bloomberg Intelligence

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<v Speaker 2>senior technology analysts. You're first to ask Wugent about the

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<v Speaker 2>new committee HPE is creating.

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<v Speaker 8>It is a handpicked board member by Elliott Management. Keep

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<v Speaker 8>in mind, Elliott is an activist investor that has a

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<v Speaker 8>ten percent plus shareholding of HPE. I think I believe

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<v Speaker 8>they made their position earlier this year, and who they

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<v Speaker 8>appointed was Bob Calderoni, who has done similar type of

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<v Speaker 8>deals in terms of taking companies private or more importantly

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<v Speaker 8>operational streamlining. So any changes, I think Elliott is going

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<v Speaker 8>to try through Bob to affect a lot of changes

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<v Speaker 8>at HPE.

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<v Speaker 2>Which just remind us what HP is today. Number one

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<v Speaker 2>and number two, what do they need to fix to

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<v Speaker 2>move this thing forward?

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<v Speaker 8>Yeah, hey, Paul, so, HPE is one of the leading

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<v Speaker 8>enterprise IT infrastructure vendors. They provide servers, storage, now a

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<v Speaker 8>bigger networking presence with the June acquisition, and actually, quite

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<v Speaker 8>quite frankly, there's quite a bit to fix from an

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<v Speaker 8>operational standpoint. They fumbled the first quarter results by mispricing

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<v Speaker 8>their server business and it seems to be reconciled now,

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<v Speaker 8>but it flags some of the operational issues. Number one,

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<v Speaker 8>Number two, they have made a lot of M and

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<v Speaker 8>A that just didn't create the synergies that they had hoped. So,

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<v Speaker 8>you know, they did hire the former HPCFO to streamline

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<v Speaker 8>the financials, and with the Juniper merger starting underway, I

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<v Speaker 8>suspect that you know, the new strategy board, it will

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<v Speaker 8>try to find more operational synergies between the two networking businesses.

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<v Speaker 4>WIJ and can you dig more into how it's under

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<v Speaker 4>pressure kind of like lagging behind Dell and growing AI.

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<v Speaker 4>What kind of pressure is it facing in that market?

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<v Speaker 8>Yeah, so if we think about AI, right, you know,

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<v Speaker 8>HPE actually owns Cray, and we think about high performance compute,

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<v Speaker 8>they are the market leaders there. They weren't able. HPE

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<v Speaker 8>has not been able to transition that Cray business elegantly

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<v Speaker 8>to UH the to the AI side of things. So

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<v Speaker 8>let me put this into context. I think HPE should

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<v Speaker 8>be on track for about three to four billion dollars

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<v Speaker 8>in AI sales UH this year, possibly you know four

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<v Speaker 8>to five, right, Dell is going to be on track

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<v Speaker 8>for about fifteen billion dollars this year, and super Micro

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<v Speaker 8>is probably on track for about twenty billion this year.

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<v Speaker 8>So you know, they've lagged on the AI front even

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<v Speaker 8>though they have some of the leading technologies on high

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<v Speaker 8>performance compute. That's an area that you know could be

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<v Speaker 8>fixable under the right hands.

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<v Speaker 2>One more here before we let you go, which is

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<v Speaker 2>just you mentioned they owned Cray, they owned Juniper. If

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<v Speaker 2>i'm Elliott Management, am I thinking about maybe they can

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<v Speaker 2>be selling or spinning off some of these businesses to

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<v Speaker 2>enhance value.

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<v Speaker 8>Well, you know, Bob Calderoni used to be on the

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<v Speaker 8>Juniper board and they actually helped with the operational stitch

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<v Speaker 8>lining of Juniper. Right, so I think that you want

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<v Speaker 8>to keep Juniper. Okay, there are other aspects of the

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<v Speaker 8>networking business that you could probably probably parse away. Right,

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<v Speaker 8>the crab business you'd want to keep because AI is

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<v Speaker 8>going to be the growth engine and also help you

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<v Speaker 8>transition to the enterprise AI our.

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<v Speaker 2>Thanks to Wujinell, Bloomberg Intelligence Senior Technology Analyst.

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<v Speaker 4>Coming up, we'll look at Bloomberg Intelligence to this deep

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<v Speaker 4>dive into dating apps.

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<v Speaker 2>Listening to Bloomberg Intelligence on Bloomberg Radio, providing in depth

0:12:43.960 --> 0:12:46.240
<v Speaker 2>research and data on two thousand companies and one hundred

0:12:46.240 --> 0:12:47.040
<v Speaker 2>and thirty industries.

0:12:47.160 --> 0:12:52.120
<v Speaker 4>You can access Bloomberg Intelligence big. I'm the Terminal, I'm LISMITTEO.

0:12:51.520 --> 0:12:53.400
<v Speaker 2>And Paul Sweingy and this is Bloomberg.

0:12:57.400 --> 0:13:01.120
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:13:01.200 --> 0:13:04.280
<v Speaker 1>weekdays at ten am Easterned on Apple, Cocklay and Android

0:13:04.280 --> 0:13:07.600
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:13:07.640 --> 0:13:11.480
<v Speaker 1>you get your podcasts or watch us live on YouTube.

0:13:11.520 --> 0:13:13.960
<v Speaker 4>I'm Paul Sweeney and I'm Lisa Matteo filling in on

0:13:14.000 --> 0:13:15.439
<v Speaker 4>Bloomberg Intelligence The.

0:13:15.440 --> 0:13:17.520
<v Speaker 2>Next move, So the world of online dating.

0:13:17.640 --> 0:13:20.880
<v Speaker 4>Bloomberg Intelligence recently did a survey on dating apps and

0:13:20.880 --> 0:13:23.400
<v Speaker 4>how gen Z is using them, and the survey found

0:13:23.400 --> 0:13:26.280
<v Speaker 4>that gen Z is dating less than most other generations

0:13:26.400 --> 0:13:26.720
<v Speaker 4>from are.

0:13:26.760 --> 0:13:29.199
<v Speaker 2>On this Lisa and I were joined by Nicole Desuza,

0:13:29.400 --> 0:13:32.160
<v Speaker 2>Bloomberg Intelligence Internet and software equity analysts.

0:13:32.320 --> 0:13:34.720
<v Speaker 4>We first asked Nicole to explain her findings.

0:13:35.160 --> 0:13:38.400
<v Speaker 3>We have Bloomberg Intelligence conducted the survey to better understand

0:13:38.440 --> 0:13:42.080
<v Speaker 3>how people are navigating dating, how they use dating apps,

0:13:42.120 --> 0:13:44.920
<v Speaker 3>and then also how they feel about AI within dating apps.

0:13:45.600 --> 0:13:49.599
<v Speaker 3>And so some really interesting findings. First that you know, specifically,

0:13:49.679 --> 0:13:53.120
<v Speaker 3>gen Z tends to be single but not dating. Gen

0:13:53.200 --> 0:13:56.360
<v Speaker 3>Z's what age again, sixteen to twenty eight, sixteen.

0:13:55.920 --> 0:13:58.280
<v Speaker 2>To twenty al right, so yeah, single, two of my

0:13:58.520 --> 0:14:01.400
<v Speaker 2>four into that one, okay, And so they're not using

0:14:01.440 --> 0:14:02.160
<v Speaker 2>the apps.

0:14:02.000 --> 0:14:06.000
<v Speaker 3>They're not even dating. Single and not dating. So this

0:14:06.200 --> 0:14:09.160
<v Speaker 3>is I mean, there's a few reasons. Studies have kind

0:14:09.160 --> 0:14:11.840
<v Speaker 3>of shown they do have higher rates of loneliness, but

0:14:11.960 --> 0:14:16.520
<v Speaker 3>they are also prioritizing independence. They are also you know,

0:14:16.559 --> 0:14:20.560
<v Speaker 3>feeling a reduced stigma around being single. So it could

0:14:20.600 --> 0:14:22.680
<v Speaker 3>really change dating patterns generationally.

0:14:22.800 --> 0:14:24.120
<v Speaker 4>I can kind of say my son was on a

0:14:24.200 --> 0:14:26.120
<v Speaker 4>dating app and then he stopped because he got tired

0:14:26.160 --> 0:14:28.160
<v Speaker 4>of it and it just and he's in that gen

0:14:28.280 --> 0:14:31.800
<v Speaker 4>Z kind of group and they're not going to pay

0:14:31.800 --> 0:14:35.280
<v Speaker 4>for them too. So how does that change for these

0:14:35.480 --> 0:14:37.840
<v Speaker 4>different you know, dating apps out there. How do they

0:14:37.840 --> 0:14:38.800
<v Speaker 4>have to change their approach?

0:14:39.480 --> 0:14:43.680
<v Speaker 3>So right now a lot of what we're seeing from

0:14:43.760 --> 0:14:46.280
<v Speaker 3>gen Z is that even though they are dating less,

0:14:46.280 --> 0:14:49.040
<v Speaker 3>they are looking for long term relationships. Those that are dating,

0:14:49.240 --> 0:14:52.560
<v Speaker 3>they are looking to form meaningful connections. So, you know,

0:14:52.640 --> 0:14:55.000
<v Speaker 3>some of the products we've seen from these dating apps

0:14:55.080 --> 0:14:57.320
<v Speaker 3>that really introduce AI are more around how to create

0:14:57.320 --> 0:14:59.960
<v Speaker 3>a profile, how to make it easier to talk to people,

0:15:00.240 --> 0:15:02.720
<v Speaker 3>you know, using AI to generate prompts that might not

0:15:02.760 --> 0:15:05.440
<v Speaker 3>necessarily you know, correlate with what gen Z is looking

0:15:05.480 --> 0:15:07.240
<v Speaker 3>for in terms of forming a meaningful connection.

0:15:08.080 --> 0:15:10.680
<v Speaker 2>I'll tell you Lisa go to the Parker House and

0:15:10.720 --> 0:15:14.800
<v Speaker 2>seeing her at New Jersey on a summer Saturday, thousands

0:15:14.880 --> 0:15:19.360
<v Speaker 2>and thousands of kids of gen Z type are there

0:15:20.000 --> 0:15:21.840
<v Speaker 2>at like four o'clock in the afternoon. They're not on

0:15:21.880 --> 0:15:24.720
<v Speaker 2>the beach. They're all made up, dressed to the nines.

0:15:25.120 --> 0:15:27.640
<v Speaker 2>I think they're looking to hook to you meet somebody

0:15:27.720 --> 0:15:28.560
<v Speaker 2>right now. I've been there.

0:15:28.600 --> 0:15:29.080
<v Speaker 3>I had to wait.

0:15:30.600 --> 0:15:33.120
<v Speaker 2>I mean, I don't know what's going on. How about millennials?

0:15:33.120 --> 0:15:34.400
<v Speaker 2>How did they fare?

0:15:34.800 --> 0:15:37.640
<v Speaker 3>So millennials are they kind of came of age during

0:15:37.640 --> 0:15:39.520
<v Speaker 3>the time of dating apps, so a lot of dating

0:15:39.560 --> 0:15:43.800
<v Speaker 3>apps are really created to target dating patterns of millennials.

0:15:43.880 --> 0:15:46.960
<v Speaker 3>So millennials have a more favorable relationship with dating apps.

0:15:47.000 --> 0:15:50.480
<v Speaker 3>And they also are much more like comfortable with AI

0:15:50.680 --> 0:15:53.840
<v Speaker 3>in dating apps versus gen Z, which was surprising to us.

0:15:54.120 --> 0:15:56.760
<v Speaker 4>Now what about Okay, people always forget about gen X,

0:15:57.640 --> 0:16:01.680
<v Speaker 4>the gen X folks, So what about gen X? And

0:16:01.720 --> 0:16:05.120
<v Speaker 4>then you know my mom, you know, single, like she

0:16:05.280 --> 0:16:07.600
<v Speaker 4>wants to find out about these apps. I'm telling you,

0:16:08.320 --> 0:16:09.880
<v Speaker 4>what about the older generation?

0:16:10.080 --> 0:16:13.000
<v Speaker 3>They're on dating apps, so they're on it. There are Yeah,

0:16:13.120 --> 0:16:15.560
<v Speaker 3>there are a lot of gen X and baby boomers

0:16:15.560 --> 0:16:18.040
<v Speaker 3>on dating apps, and there are a wide variety of

0:16:18.080 --> 0:16:20.480
<v Speaker 3>dating apps to kind of address different age groups, different

0:16:20.680 --> 0:16:22.760
<v Speaker 3>you know, things that people are looking for. So they're

0:16:22.960 --> 0:16:23.680
<v Speaker 3>they're available.

0:16:24.000 --> 0:16:27.120
<v Speaker 2>How does AI I have to ask the AI questions

0:16:27.680 --> 0:16:29.680
<v Speaker 2>Because we had a guest on earlier about it. I

0:16:29.720 --> 0:16:31.800
<v Speaker 2>walked out of there thinking AI is going to take

0:16:31.800 --> 0:16:34.920
<v Speaker 2>over Wall Street? How about AI and dating apps that

0:16:35.600 --> 0:16:38.840
<v Speaker 2>I would think could be helpful to better select somebody

0:16:38.880 --> 0:16:40.480
<v Speaker 2>who might be a good match or something.

0:16:40.800 --> 0:16:43.160
<v Speaker 3>So we've seen dating app companies roll out a lot

0:16:43.160 --> 0:16:47.160
<v Speaker 3>of AI products. I would say, right now, it seems,

0:16:47.160 --> 0:16:49.400
<v Speaker 3>at least based on our survey, that they haven't been

0:16:49.480 --> 0:16:52.880
<v Speaker 3>that well received. It seems like people don't necessarily need

0:16:52.920 --> 0:16:55.640
<v Speaker 3>AI to build a better profile, they don't need AI

0:16:55.760 --> 0:16:58.440
<v Speaker 3>to help them engage in conversation. I think where it

0:16:58.440 --> 0:17:01.120
<v Speaker 3>has been helpful is user safety, so to weed out

0:17:01.160 --> 0:17:04.800
<v Speaker 3>profiles that are fake or you know, potentially sent people

0:17:04.800 --> 0:17:08.000
<v Speaker 3>who are sending harmful messages. And that is a common complaint.

0:17:08.320 --> 0:17:12.320
<v Speaker 3>But as of right now, it doesn't seem that you know,

0:17:12.720 --> 0:17:15.520
<v Speaker 3>at least gen Z and even some millennials are really

0:17:16.480 --> 0:17:18.760
<v Speaker 3>really adopting these new AI products.

0:17:18.840 --> 0:17:21.439
<v Speaker 4>So, and there are certain a dating apps that are

0:17:21.480 --> 0:17:23.520
<v Speaker 4>more popular than others, I mean, which are the hot

0:17:23.560 --> 0:17:24.160
<v Speaker 4>ones right now?

0:17:24.560 --> 0:17:28.680
<v Speaker 3>So right now, at least by users, Tinder has by

0:17:28.720 --> 0:17:31.320
<v Speaker 3>far the most users that's owned by match Group. And

0:17:31.359 --> 0:17:33.920
<v Speaker 3>then Hinge is actually one of the few dating apps

0:17:33.920 --> 0:17:37.080
<v Speaker 3>that is continuing to grow users, and that's probably because

0:17:37.119 --> 0:17:38.919
<v Speaker 3>Hinge focus is a little bit more on kind of

0:17:39.000 --> 0:17:42.480
<v Speaker 3>long term relationships, building meaningful connections. Tinder still has a

0:17:42.520 --> 0:17:44.280
<v Speaker 3>reputation of kind of a hookup app.

0:17:44.440 --> 0:17:46.400
<v Speaker 2>Yes, which one.

0:17:47.520 --> 0:17:49.040
<v Speaker 5>Yeah, that's how my son was on.

0:17:52.080 --> 0:17:56.320
<v Speaker 2>Our thanks to Nicole Desuza, Bloomberg Intelligence, Internet and Software analysts.

0:17:56.520 --> 0:17:59.280
<v Speaker 4>We move next to news from the ev giant Tesla.

0:17:59.560 --> 0:18:01.800
<v Speaker 2>This week, I heard that Tesla's shareholders will vote on

0:18:01.840 --> 0:18:05.480
<v Speaker 2>whether to invest in CEO Elon Musk's artificial intelligence startup

0:18:05.840 --> 0:18:08.280
<v Speaker 2>x Ai. That's according to Elon Musk.

0:18:08.480 --> 0:18:10.679
<v Speaker 4>Musk made the statement in response to an account on

0:18:10.960 --> 0:18:13.520
<v Speaker 4>x that said the Carmaker must be able to invest

0:18:13.520 --> 0:18:17.280
<v Speaker 4>in x Ai to be fair to Tesla retail investors for.

0:18:17.200 --> 0:18:18.919
<v Speaker 2>More at least and I were joined by Craig Trudell,

0:18:19.000 --> 0:18:20.840
<v Speaker 2>Bloomberg Global Autos Editor.

0:18:21.240 --> 0:18:23.520
<v Speaker 4>We first asked Craig what kind of message he thinks

0:18:23.600 --> 0:18:25.359
<v Speaker 4>Musk's recent statement is sending.

0:18:25.680 --> 0:18:30.000
<v Speaker 7>It's sending that, you know, Elon's Elon's business empire is

0:18:30.640 --> 0:18:34.159
<v Speaker 7>becoming all the more intertwined. So this has been, you know,

0:18:34.280 --> 0:18:38.080
<v Speaker 7>sort of a case on and off for years. We

0:18:38.119 --> 0:18:41.320
<v Speaker 7>can think back to say, you know, the Tesla Solar

0:18:41.359 --> 0:18:45.919
<v Speaker 7>City acquisition, you know, and that's going back quite a ways.

0:18:45.960 --> 0:18:49.800
<v Speaker 7>But you know, in this case, it would be Tesla,

0:18:50.760 --> 0:18:54.240
<v Speaker 7>you know, his most valuable company in investing in in

0:18:54.359 --> 0:18:56.600
<v Speaker 7>sort of his up and comer and one where he's

0:18:56.760 --> 0:19:00.840
<v Speaker 7>you know, spent an awful lot of time and energy, folks, Gustan. Lately,

0:19:01.440 --> 0:19:05.040
<v Speaker 7>as Tesla's electric vehicle sales have been slowing, he's been

0:19:05.480 --> 0:19:08.440
<v Speaker 7>really sort of dead set on taking on Open AI

0:19:08.560 --> 0:19:11.200
<v Speaker 7>and and sort of standing up a competitor to chat

0:19:11.240 --> 0:19:15.159
<v Speaker 7>GPT and as with all the companies in the space,

0:19:15.760 --> 0:19:18.280
<v Speaker 7>spending an awful lot of money to try and compete

0:19:18.320 --> 0:19:19.399
<v Speaker 7>in that realm.

0:19:20.200 --> 0:19:24.160
<v Speaker 2>So where do we stand here in terms of kind

0:19:24.160 --> 0:19:27.200
<v Speaker 2>of how investors are viewing their investment in Tesla. Are

0:19:27.200 --> 0:19:30.240
<v Speaker 2>they invested in a auto company or are they invested in

0:19:30.280 --> 0:19:33.880
<v Speaker 2>an AI company or they invested just an Elon Inc?

0:19:34.320 --> 0:19:35.640
<v Speaker 2>How did they think about it these days?

0:19:36.640 --> 0:19:36.840
<v Speaker 5>Yeah?

0:19:36.840 --> 0:19:39.359
<v Speaker 7>I mean, I think Musk has has been trying for

0:19:39.520 --> 0:19:43.479
<v Speaker 7>for several years now to sell and position Tesla as

0:19:43.600 --> 0:19:46.879
<v Speaker 7>much more than just a car company, right and you know,

0:19:46.960 --> 0:19:52.000
<v Speaker 7>it's it's definitely in the energy space and and you know,

0:19:52.080 --> 0:19:56.439
<v Speaker 7>has a battery business to show for that. And in Ai,

0:19:56.840 --> 0:19:59.760
<v Speaker 7>you know, he's he's talked a big game about you know,

0:20:00.560 --> 0:20:04.040
<v Speaker 7>developing self driving technology. He's not he's not gotten there yet.

0:20:04.640 --> 0:20:07.359
<v Speaker 7>Uh as as we've seen with the company, you know,

0:20:07.480 --> 0:20:11.399
<v Speaker 7>starting to offer rides in in Tesla's around Austin, Texas,

0:20:11.840 --> 0:20:14.760
<v Speaker 7>uh they still have uh, you know, Tesla employees in

0:20:15.040 --> 0:20:17.800
<v Speaker 7>the front passenger seat to sort of take over in

0:20:17.920 --> 0:20:20.600
<v Speaker 7>events where you know, the cars have not been able

0:20:20.640 --> 0:20:23.720
<v Speaker 7>to handle uh, you know, navigating the streets on their own.

0:20:24.800 --> 0:20:28.520
<v Speaker 7>And yet with with uh SpaceX, I think interest interestingly,

0:20:28.760 --> 0:20:31.400
<v Speaker 7>you know, for them to have just pumped two billion

0:20:31.920 --> 0:20:34.919
<v Speaker 7>into x Ai, I think there's a little bit of

0:20:34.960 --> 0:20:38.000
<v Speaker 7>fomo on the part of some in the Tesla shareholder

0:20:38.040 --> 0:20:41.639
<v Speaker 7>base where they've seen you know, x AI go from

0:20:42.240 --> 0:20:45.200
<v Speaker 7>you know, not all that valuable a startup to suddenly,

0:20:45.560 --> 0:20:49.040
<v Speaker 7>you know, an extremely valuable startup and they feel like

0:20:49.080 --> 0:20:52.320
<v Speaker 7>they've missed out on some of this appreciation and one

0:20:52.400 --> 0:20:52.800
<v Speaker 7>in on that.

0:20:53.119 --> 0:20:55.200
<v Speaker 4>So with all that said, Craig, I mean, does must

0:20:55.240 --> 0:20:59.440
<v Speaker 4>support a merger between x AI and Tesla or maybe

0:20:59.520 --> 0:21:03.560
<v Speaker 4>x a hind SpaceX You mentioned space X two, He says.

0:21:03.359 --> 0:21:05.400
<v Speaker 7>He does not. And and I think there's been talk

0:21:05.480 --> 0:21:08.760
<v Speaker 7>about this for years, right that, you know, and on

0:21:08.840 --> 0:21:11.040
<v Speaker 7>and off again there's been you know, questions as to

0:21:11.080 --> 0:21:13.120
<v Speaker 7>whether or not Musk is you know, sort of stretched

0:21:13.119 --> 0:21:16.040
<v Speaker 7>too thin and doing too much. Would it make more

0:21:16.080 --> 0:21:20.280
<v Speaker 7>sense to turn his companies into into one and and

0:21:20.359 --> 0:21:23.760
<v Speaker 7>sort of you know, he's sort of the think about

0:21:23.800 --> 0:21:26.320
<v Speaker 7>it as sort of the general electric of of the

0:21:26.400 --> 0:21:29.879
<v Speaker 7>New age, right, which is kind of fascinating because of

0:21:29.880 --> 0:21:32.960
<v Speaker 7>course that didn't work out too well for Ge. And

0:21:32.960 --> 0:21:37.240
<v Speaker 7>and yet you know, even some of Musk's own allies

0:21:37.240 --> 0:21:42.120
<v Speaker 7>have sort of alluded to, you know, viewing him and

0:21:42.200 --> 0:21:44.880
<v Speaker 7>his empire as as sort of you know, modern day

0:21:45.160 --> 0:21:45.960
<v Speaker 7>general electric.

0:21:46.119 --> 0:21:47.040
<v Speaker 5>So uh.

0:21:47.280 --> 0:21:50.600
<v Speaker 7>He he did take pains to say on an x

0:21:50.680 --> 0:21:54.040
<v Speaker 7>that he does not support a full blown merger of

0:21:54.119 --> 0:21:57.920
<v Speaker 7>Tesla and x Ai, but he has you know, signals

0:21:57.960 --> 0:22:00.399
<v Speaker 7>on there multiple times now that he would be in

0:22:00.440 --> 0:22:04.080
<v Speaker 7>favor of of Tesla putting money in and you know,

0:22:04.320 --> 0:22:08.119
<v Speaker 7>that's that's of course, you know, a proposition that could

0:22:08.800 --> 0:22:13.280
<v Speaker 7>be helpful if Xai continues to grow its valuation. We

0:22:13.280 --> 0:22:16.359
<v Speaker 7>should note, however, that our colleagues have reported just in

0:22:16.400 --> 0:22:19.000
<v Speaker 7>the last month or so that Xai has been burning

0:22:19.040 --> 0:22:21.560
<v Speaker 7>through about a billion dollars a month. So this is

0:22:21.600 --> 0:22:25.240
<v Speaker 7>a company that is really sort of cash hungry and

0:22:26.400 --> 0:22:30.040
<v Speaker 7>needy as it's trying to stand up a business, you know,

0:22:30.119 --> 0:22:31.600
<v Speaker 7>with all of this capability.

0:22:31.920 --> 0:22:33.520
<v Speaker 2>Yeah, and Craig, it's been I don't know a month

0:22:33.600 --> 0:22:36.919
<v Speaker 2>or two since Elon Musk left the US government. Doje

0:22:37.240 --> 0:22:40.720
<v Speaker 2>is there any evidence that he is meaningfully engaging with Tesla?

0:22:42.480 --> 0:22:46.800
<v Speaker 7>You know what, I think he's messaging more about, you know,

0:22:46.880 --> 0:22:49.400
<v Speaker 7>sort of what Tesla's up to than he was while

0:22:49.400 --> 0:22:53.399
<v Speaker 7>he was in Washington. He did also post that, you know,

0:22:53.440 --> 0:22:57.160
<v Speaker 7>he was in Tesla's design studio and sort of hyped

0:22:57.240 --> 0:23:01.359
<v Speaker 7>up how excited he was about what he saw. But

0:23:01.600 --> 0:23:04.280
<v Speaker 7>you know, the company is is, you know, sort of

0:23:04.400 --> 0:23:08.719
<v Speaker 7>in this really sort of challenging state from a sales perspective,

0:23:09.240 --> 0:23:12.160
<v Speaker 7>and you've you've sort of gotten indications that, well, maybe

0:23:12.200 --> 0:23:15.199
<v Speaker 7>he doesn't necessarily fully have his his finger on the

0:23:15.200 --> 0:23:18.160
<v Speaker 7>pulse in the sense that he told us just within

0:23:18.200 --> 0:23:21.359
<v Speaker 7>the last few months that sales have turned around, you know.

0:23:21.560 --> 0:23:23.880
<v Speaker 7>A couple of months later, the company reports that its

0:23:23.920 --> 0:23:27.280
<v Speaker 7>vehicle deliveries had fallen thirteen percent in the second quarter.

0:23:28.040 --> 0:23:31.320
<v Speaker 7>So either he was you know, not necessarily up to

0:23:31.359 --> 0:23:33.879
<v Speaker 7>speed on the state of sales, or perhaps he was

0:23:34.160 --> 0:23:36.800
<v Speaker 7>more optimistic that they were able to going to be

0:23:36.840 --> 0:23:39.000
<v Speaker 7>able to turn things around then they ultimately were able

0:23:39.040 --> 0:23:40.040
<v Speaker 7>to last quarter.

0:23:40.480 --> 0:23:43.359
<v Speaker 2>Oh thanks to Craig Trudell and Bloomberg Global Auto's editor.

0:23:43.720 --> 0:23:46.879
<v Speaker 4>Coming up a conversation with nuclear electricity influence or an

0:23:46.920 --> 0:23:48.399
<v Speaker 4>author Isabelle bo Mecki.

0:23:48.680 --> 0:23:51.680
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing indes

0:23:51.760 --> 0:23:54.240
<v Speaker 2>research and data on two thousand companies and one hundred

0:23:54.240 --> 0:23:55.040
<v Speaker 2>and thirty industries.

0:23:55.119 --> 0:23:57.719
<v Speaker 4>You can access Bloomberg Intelligence via b I Go, I'm

0:23:57.720 --> 0:24:00.360
<v Speaker 4>the Terminal, I'm Lisa Matteo and on paulse Need.

0:24:00.480 --> 0:24:01.640
<v Speaker 2>This is Bloomberg.

0:24:09.160 --> 0:24:12.879
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:24:12.960 --> 0:24:16.040
<v Speaker 1>weekdays at ten am Eastern on Apple Corplay and Android

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<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:24:19.400 --> 0:24:22.520
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0:24:23.160 --> 0:24:25.520
<v Speaker 4>I'm Paul Sweeney and I'm Lisa Matteo. Filly in on

0:24:25.560 --> 0:24:26.679
<v Speaker 4>Bloomberg Intelligence.

0:24:26.960 --> 0:24:29.560
<v Speaker 2>Each week we will get research from Bloomberg and EF

0:24:29.640 --> 0:24:32.520
<v Speaker 2>previously known as New Energy Finance. They're the team at

0:24:32.520 --> 0:24:36.120
<v Speaker 2>Bloomberg that tracks and analyzes the energy transition from commodities

0:24:36.200 --> 0:24:40.080
<v Speaker 2>to power, transport, industries, buildings, and agricultural sectors.

0:24:40.280 --> 0:24:42.719
<v Speaker 4>This week, we looked at the recent policies of President

0:24:42.760 --> 0:24:46.040
<v Speaker 4>Donald Trump and how they may impact clean power moving forward.

0:24:46.400 --> 0:24:48.680
<v Speaker 2>For more, Lisa and I were joined by Meredith Annex

0:24:48.840 --> 0:24:50.880
<v Speaker 2>b n EF, head of Clean Power.

0:24:51.000 --> 0:24:54.080
<v Speaker 4>We first asked Meredith how the Trump administration is impacting

0:24:54.119 --> 0:24:55.560
<v Speaker 4>the transition to clean power.

0:24:55.960 --> 0:24:57.359
<v Speaker 9>I don't know if I've called it so much a

0:24:57.440 --> 0:25:00.199
<v Speaker 9>new policy as a reversal of the policy that's been

0:25:00.200 --> 0:25:03.000
<v Speaker 9>in place for about two years. For the last couple

0:25:03.040 --> 0:25:06.840
<v Speaker 9>of years, the big flagship policy for renewable energy in

0:25:06.840 --> 0:25:09.760
<v Speaker 9>the United States has been the Inflation Reduction Act. What

0:25:10.119 --> 0:25:14.639
<v Speaker 9>the One Big Beautiful Act now has effectively done is

0:25:14.640 --> 0:25:17.919
<v Speaker 9>is remove those tax credits on a set schedule. Now,

0:25:18.880 --> 0:25:21.280
<v Speaker 9>in the text of the bill, that schedule would be

0:25:21.400 --> 0:25:25.080
<v Speaker 9>mid next year. However, with an executive order that came out,

0:25:25.200 --> 0:25:27.600
<v Speaker 9>there's a possibility that these tax credits has been very

0:25:27.640 --> 0:25:31.479
<v Speaker 9>fundamental for the build up and expansion of renewable energy,

0:25:32.480 --> 0:25:35.640
<v Speaker 9>that those might actually become very difficult to find at

0:25:35.640 --> 0:25:36.400
<v Speaker 9>the end of this year.

0:25:37.280 --> 0:25:41.280
<v Speaker 4>All since that announcement of the change, what's changed actually

0:25:41.320 --> 0:25:42.680
<v Speaker 4>since then, since that announcement.

0:25:44.200 --> 0:25:46.399
<v Speaker 9>Yeah, what we saw was an executive order from the

0:25:46.440 --> 0:25:49.639
<v Speaker 9>Trump administration essentially saying that they're going to really look

0:25:49.720 --> 0:25:53.320
<v Speaker 9>at how companies claim these tax credits. Now, the details

0:25:53.320 --> 0:25:55.440
<v Speaker 9>on that are still pretty opaque. A lot of that's

0:25:55.480 --> 0:25:58.119
<v Speaker 9>going to come from IRS guidance that we're expecting to

0:25:58.119 --> 0:26:00.960
<v Speaker 9>see in the coming weeks or months. However, there's a

0:26:01.000 --> 0:26:05.520
<v Speaker 9>couple of things that could be open to debate. For instance,

0:26:05.560 --> 0:26:09.000
<v Speaker 9>the interpretation of what it means to safe harbor these

0:26:09.040 --> 0:26:11.479
<v Speaker 9>tax credits, which means proving that you're far enough along

0:26:11.560 --> 0:26:13.600
<v Speaker 9>that you would still merit the tax credits once you

0:26:13.800 --> 0:26:17.320
<v Speaker 9>become in service. Those definitions could change at the moment.

0:26:17.880 --> 0:26:21.120
<v Speaker 9>Usually there's a look at five percent of capex commitment

0:26:21.440 --> 0:26:25.159
<v Speaker 9>or some amount of equipment being procured, that sort of

0:26:25.240 --> 0:26:28.720
<v Speaker 9>thing as an indicator. If that changes, that could change

0:26:28.840 --> 0:26:31.680
<v Speaker 9>which projects are eligible. We could also see differences in

0:26:31.720 --> 0:26:35.200
<v Speaker 9>the timelines around how long you can have to become

0:26:35.240 --> 0:26:37.000
<v Speaker 9>in service in order to claim the tax credit.

0:26:37.480 --> 0:26:40.880
<v Speaker 2>Any sense at this early stage, Meredith, how this will

0:26:41.160 --> 0:26:45.760
<v Speaker 2>affect this overall transition to cleaner energy? Is this a

0:26:45.920 --> 0:26:48.359
<v Speaker 2>material bump in the timeline?

0:26:50.040 --> 0:26:53.280
<v Speaker 9>Unfortunately? I think it is, and that's hard because renewables

0:26:53.280 --> 0:26:56.000
<v Speaker 9>are the fastest technology to deploy in the US right now.

0:26:56.080 --> 0:26:59.040
<v Speaker 9>So the segment's been talking a lot about data centers

0:26:59.119 --> 0:27:02.280
<v Speaker 9>around the need from power in the United States. That

0:27:02.320 --> 0:27:04.600
<v Speaker 9>power is not going to come from nuclear tomorrow. It's

0:27:04.640 --> 0:27:07.080
<v Speaker 9>going to come from solar, a project that takes six

0:27:07.160 --> 0:27:11.440
<v Speaker 9>months to deploy. What we're finding is that there's sort

0:27:11.440 --> 0:27:14.280
<v Speaker 9>of a couple of sectors that are particularly impacted. On

0:27:14.440 --> 0:27:17.160
<v Speaker 9>Shore wind, for instance, is affected a lot because it's

0:27:17.240 --> 0:27:20.639
<v Speaker 9>quite location sensitive. What the tax credits did was it

0:27:20.640 --> 0:27:23.280
<v Speaker 9>allowed more projects to be able to break even at

0:27:23.280 --> 0:27:26.159
<v Speaker 9>the same rate of return, even with the change in

0:27:26.200 --> 0:27:29.040
<v Speaker 9>the quality of the wind speed that was in that area.

0:27:29.560 --> 0:27:31.199
<v Speaker 9>Now you're going to have to be a lot more picky.

0:27:32.320 --> 0:27:36.440
<v Speaker 9>Even with solar, especially things like rooftop solar. The tax

0:27:36.480 --> 0:27:38.879
<v Speaker 9>credits that are available for homeowners are disappearing by the

0:27:38.960 --> 0:27:41.560
<v Speaker 9>end of this year. When you're looking at more utility

0:27:41.600 --> 0:27:44.240
<v Speaker 9>scale solar, we think that is more robust, just because

0:27:44.240 --> 0:27:48.280
<v Speaker 9>it's so cheap. But there are concerns around what's called

0:27:48.320 --> 0:27:53.399
<v Speaker 9>the Foreign Entities of Concern FBOC categorization and how that

0:27:53.440 --> 0:27:57.280
<v Speaker 9>will get calculated, how that exposure will get calculated once

0:27:57.320 --> 0:28:00.440
<v Speaker 9>IRS guidance comes out. That could be complex because a

0:28:00.520 --> 0:28:03.520
<v Speaker 9>lot of solar modules, despite an increase in local manufacturing,

0:28:03.520 --> 0:28:04.360
<v Speaker 9>are still imported.

0:28:04.720 --> 0:28:08.800
<v Speaker 4>What changes could the act mean for data centers for

0:28:09.160 --> 0:28:10.240
<v Speaker 4>manufacturing sites.

0:28:11.840 --> 0:28:14.720
<v Speaker 9>So as of right now, a data center is much

0:28:14.760 --> 0:28:16.960
<v Speaker 9>more likely to be operational. It's connected to the grid.

0:28:17.080 --> 0:28:19.080
<v Speaker 9>So at the end of the day, the biggest thing

0:28:19.320 --> 0:28:21.879
<v Speaker 9>that the US needs, which wasn't addressed at all in

0:28:21.920 --> 0:28:25.880
<v Speaker 9>this budget bill, is more invested in transmission distribution CRAD

0:28:25.920 --> 0:28:29.320
<v Speaker 9>networks so that you can actually connect outside of that.

0:28:30.200 --> 0:28:32.560
<v Speaker 9>Renewables are the easiest thing to deploy, So if you're

0:28:32.680 --> 0:28:36.080
<v Speaker 9>talking about more power demand being on the system, you

0:28:36.119 --> 0:28:39.480
<v Speaker 9>need to generate more power. It's one thing to produce

0:28:39.560 --> 0:28:42.520
<v Speaker 9>natural gass, another thing to make that into electricity that

0:28:42.560 --> 0:28:46.040
<v Speaker 9>a data center can use. That requires a turbine. We're

0:28:46.080 --> 0:28:48.800
<v Speaker 9>seeing very long wait times on the supply chain for

0:28:48.880 --> 0:28:53.840
<v Speaker 9>new gas turbines for power plants nuclear capacity. Similarly, if

0:28:53.880 --> 0:28:57.040
<v Speaker 9>it's not a restart, can take maybe a decade before

0:28:57.080 --> 0:29:00.280
<v Speaker 9>it'll be online. If you want something online now, the

0:29:00.360 --> 0:29:03.000
<v Speaker 9>vast majority of planned and permittive projects in the US

0:29:03.080 --> 0:29:04.880
<v Speaker 9>are wind, solar, and storage.

0:29:05.240 --> 0:29:08.200
<v Speaker 4>Our thanks to Meredith adds bn EF head of Clean Power.

0:29:08.600 --> 0:29:11.080
<v Speaker 2>Staying in the Energy space, guest host Normal Linda and

0:29:11.080 --> 0:29:14.600
<v Speaker 2>I recently spoke with Isabelle Bomecki. Isabelle is a nuclear

0:29:14.640 --> 0:29:16.719
<v Speaker 2>electricity influencer and author.

0:29:16.880 --> 0:29:19.480
<v Speaker 4>She's also a former model who is built a following

0:29:19.520 --> 0:29:22.800
<v Speaker 4>discussing the role of nuclear energy to fight climate change.

0:29:22.960 --> 0:29:25.959
<v Speaker 4>Her upcoming book, rad Future will be released this summer.

0:29:26.200 --> 0:29:29.640
<v Speaker 4>The book focuses on nuclear electricity and its effectiveness.

0:29:29.920 --> 0:29:32.520
<v Speaker 2>I began the conversation with isabel by asking about some

0:29:32.600 --> 0:29:34.400
<v Speaker 2>of the points she's trying to get across to our

0:29:34.440 --> 0:29:36.320
<v Speaker 2>audience when it comes to nuclear energy.

0:29:36.840 --> 0:29:39.040
<v Speaker 10>Well, first of all, I think when we talk about

0:29:39.160 --> 0:29:42.280
<v Speaker 10>nuclear energy, it's very important to highlight so this is

0:29:42.560 --> 0:29:46.080
<v Speaker 10>the most reliable source of clean energy. And so when

0:29:46.120 --> 0:29:49.040
<v Speaker 10>we're talking about a transition to clean energy, which is

0:29:49.080 --> 0:29:52.640
<v Speaker 10>what we all know are aiming to do, we have

0:29:52.720 --> 0:29:55.640
<v Speaker 10>to make sure we remain with the stable grid, and

0:29:55.720 --> 0:29:58.440
<v Speaker 10>nuclear really helps with that. We've seen around the world

0:29:58.480 --> 0:30:02.000
<v Speaker 10>that places that turn of from nuclear end up with

0:30:02.160 --> 0:30:05.200
<v Speaker 10>thirtier and less reliable grids. But there are so many

0:30:05.280 --> 0:30:09.120
<v Speaker 10>other benefits. For instance, a nuclear power plant employees up

0:30:09.160 --> 0:30:12.840
<v Speaker 10>to one thousand people who have very high being stable jobs,

0:30:13.040 --> 0:30:15.880
<v Speaker 10>union jobs. It's the source of energy that uses the

0:30:15.960 --> 0:30:19.400
<v Speaker 10>least materials, the least amount of land, and more importantly,

0:30:19.720 --> 0:30:22.440
<v Speaker 10>as we're witnessing right now, it's a source of energy

0:30:22.440 --> 0:30:25.320
<v Speaker 10>that has bipartisan support. In the United States. The Biding

0:30:25.360 --> 0:30:29.360
<v Speaker 10>administration was extremely pro nuclear and so is the Trump administration.

0:30:29.440 --> 0:30:31.080
<v Speaker 10>So I think those are all things that we need

0:30:31.120 --> 0:30:34.000
<v Speaker 10>to take into consideration when we're talking about a clean

0:30:34.120 --> 0:30:35.960
<v Speaker 10>energy future as well.

0:30:36.000 --> 0:30:38.800
<v Speaker 11>So back in twenty nineteen, there was the Aulstragian bush

0:30:39.040 --> 0:30:43.600
<v Speaker 11>fire season, and then additionally we had the Amazon rainforest wildfires.

0:30:43.640 --> 0:30:46.400
<v Speaker 11>Both of these events really helped to inspire you to

0:30:46.440 --> 0:30:48.360
<v Speaker 11>become a part of the solution. When we think about

0:30:48.720 --> 0:30:52.440
<v Speaker 11>fighting climate change. How much progress has been made in

0:30:52.520 --> 0:30:55.320
<v Speaker 11>that fight against climate change since then?

0:30:55.840 --> 0:31:00.800
<v Speaker 10>Well, some progress, but as always, our energy and you

0:31:00.920 --> 0:31:03.960
<v Speaker 10>were talking about this beforehand, our energy demand just keeps

0:31:04.000 --> 0:31:07.800
<v Speaker 10>increasing because we keep inventing newer technologies that use a

0:31:07.800 --> 0:31:10.040
<v Speaker 10>lot of energy. Right now, you know, ten years ago

0:31:10.080 --> 0:31:13.160
<v Speaker 10>it was cryptocurrencies. Right now we're talking about AI and

0:31:13.200 --> 0:31:17.800
<v Speaker 10>the huge increasing energy demand, and so I think unfortunately

0:31:18.040 --> 0:31:20.360
<v Speaker 10>we just you know that everyone out of way is

0:31:20.360 --> 0:31:22.840
<v Speaker 10>to use more and more energy. So while some progress

0:31:22.880 --> 0:31:25.840
<v Speaker 10>has been made, our demand has also increased, so we're

0:31:25.840 --> 0:31:28.600
<v Speaker 10>still burning a lot of fossil fuels. About eighty percent

0:31:28.680 --> 0:31:32.400
<v Speaker 10>of the world's energy is still provided by by fossil fuels.

0:31:33.360 --> 0:31:36.320
<v Speaker 10>So we have to keep investing in these technologies, and

0:31:36.360 --> 0:31:39.000
<v Speaker 10>this is where nuclear can play a really big role.

0:31:39.080 --> 0:31:42.160
<v Speaker 10>It's already the second largest source of clean energy in

0:31:42.200 --> 0:31:45.200
<v Speaker 10>the world, just behind hydropower. It is the largest source

0:31:45.200 --> 0:31:48.280
<v Speaker 10>of clean energy in the United States, and I think

0:31:48.440 --> 0:31:51.920
<v Speaker 10>for you know, over three decades it was completely ignored

0:31:52.560 --> 0:31:55.000
<v Speaker 10>for a variety of reasons, and some of them is

0:31:55.480 --> 0:31:58.000
<v Speaker 10>the fears around accidents, which we can talk about a

0:31:58.040 --> 0:32:01.120
<v Speaker 10>little bit as well. So it's very important that we're

0:32:01.160 --> 0:32:04.320
<v Speaker 10>now investing in this technology again so that we can

0:32:04.360 --> 0:32:06.640
<v Speaker 10>speed up this transition to clean energy.

0:32:06.640 --> 0:32:10.120
<v Speaker 2>Isabelle talk to us about modular plants. We don't have

0:32:10.160 --> 0:32:12.840
<v Speaker 2>to go and build these monster plants that we see occasionally.

0:32:12.840 --> 0:32:14.800
<v Speaker 2>I know one most recent one was built years ago

0:32:15.000 --> 0:32:18.480
<v Speaker 2>in Georgia. Talked just about the smaller modular plants, how

0:32:18.520 --> 0:32:19.560
<v Speaker 2>that technology could.

0:32:19.440 --> 0:32:22.520
<v Speaker 10>That be used. So I think we actually do need

0:32:22.560 --> 0:32:26.040
<v Speaker 10>to build some of the large plants, because as much

0:32:26.040 --> 0:32:29.720
<v Speaker 10>as small modular reactors or these new technologies that people

0:32:29.720 --> 0:32:33.200
<v Speaker 10>are very very excited about. Unfortunately, if I'm a utility

0:32:33.600 --> 0:32:35.960
<v Speaker 10>or a data center, I cannot go and buy one

0:32:36.000 --> 0:32:38.520
<v Speaker 10>of those off the market just yet. None of those

0:32:38.560 --> 0:32:42.400
<v Speaker 10>companies have built prototypes, so we're still pretty far from

0:32:42.440 --> 0:32:45.600
<v Speaker 10>them being commercially available. In the meantime, we have to

0:32:45.640 --> 0:32:49.600
<v Speaker 10>build the existing technologies that we have. But some of

0:32:49.280 --> 0:32:53.560
<v Speaker 10>the benefits that the small modular companies claim they will

0:32:53.560 --> 0:32:56.920
<v Speaker 10>have is they'll be able to reduce costs, time to build,

0:32:57.080 --> 0:32:59.360
<v Speaker 10>and so on. But again, all of this has yet

0:32:59.400 --> 0:33:01.720
<v Speaker 10>to be proven, and so I think we cannot put

0:33:01.760 --> 0:33:04.360
<v Speaker 10>all of our eggs in that one basket. We have

0:33:04.440 --> 0:33:07.440
<v Speaker 10>to invest in technology that we already know works.

0:33:08.040 --> 0:33:09.959
<v Speaker 11>So it's about you have a book called rad Future.

0:33:10.360 --> 0:33:11.360
<v Speaker 11>What's that all about?

0:33:11.800 --> 0:33:14.600
<v Speaker 10>So Red Future was inspired really by my own need

0:33:15.160 --> 0:33:19.480
<v Speaker 10>to have an accessible book about nuclear electricity. To your point,

0:33:19.520 --> 0:33:22.120
<v Speaker 10>In twenty nineteen, I saw the fires in Australia and

0:33:22.160 --> 0:33:25.640
<v Speaker 10>the Amazon and that inspired me to do something using

0:33:25.680 --> 0:33:28.520
<v Speaker 10>my platform that I had built as a fashion model,

0:33:29.320 --> 0:33:32.520
<v Speaker 10>to do something about climate. And at the time I

0:33:32.600 --> 0:33:35.920
<v Speaker 10>tried buying books that explained how nuclear worked, and I

0:33:35.960 --> 0:33:39.040
<v Speaker 10>couldn't find anything that was accessible. It took me many,

0:33:39.040 --> 0:33:40.880
<v Speaker 10>many years of research to get to a point where

0:33:40.920 --> 0:33:44.640
<v Speaker 10>I could break down this information about nuclear, the history,

0:33:44.680 --> 0:33:46.960
<v Speaker 10>the history of the anti nuclear movement, and the technology

0:33:46.960 --> 0:33:51.000
<v Speaker 10>itself into something that was extremely accessible. And so Red

0:33:51.040 --> 0:33:53.720
<v Speaker 10>Future was inspired by that, by a need to provide

0:33:53.800 --> 0:33:57.000
<v Speaker 10>accessible material. And I think it's such an important topic

0:33:57.080 --> 0:34:01.200
<v Speaker 10>that right now is being discussed everywhere, and I think

0:34:01.320 --> 0:34:03.920
<v Speaker 10>people should be able to learn about the technology and

0:34:03.960 --> 0:34:05.040
<v Speaker 10>answer their questions.

0:34:05.480 --> 0:34:07.680
<v Speaker 2>Is it well with the Trump administration to used inse

0:34:07.760 --> 0:34:12.239
<v Speaker 2>that nuclear power may get more support, less support, or

0:34:12.440 --> 0:34:13.440
<v Speaker 2>no real change.

0:34:13.840 --> 0:34:17.560
<v Speaker 10>No, the Trump administration is extremely supportive of nuclear. He

0:34:17.680 --> 0:34:22.600
<v Speaker 10>passed several executive orders mandating the acceleration of nuclear in

0:34:22.640 --> 0:34:27.120
<v Speaker 10>the United States to be determined what's going to happen. Also,

0:34:27.400 --> 0:34:30.879
<v Speaker 10>in the One Big Beautiful Bill, they basically maintained all

0:34:30.960 --> 0:34:35.440
<v Speaker 10>the support, the credits, the credit techs, and the LPO

0:34:35.480 --> 0:34:38.760
<v Speaker 10>guarantees for nuclear as well. So the administration is extremely

0:34:38.800 --> 0:34:42.680
<v Speaker 10>supportive of nuclear. Hopefully this will play out in the

0:34:42.719 --> 0:34:45.279
<v Speaker 10>real world, but it's still to be determined, depending on

0:34:45.960 --> 0:34:47.960
<v Speaker 10>some of the nuances of the text credits.

0:34:48.480 --> 0:34:52.360
<v Speaker 4>Our thanks to nuclear electricity influencer and author Isabelle bo Mecki.

0:34:53.160 --> 0:34:57.840
<v Speaker 1>This is the Bloomberg Intelligence Podcast available on Apple, Spotify,

0:34:58.040 --> 0:35:02.000
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0:35:02.200 --> 0:35:05.480
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0:35:05.560 --> 0:35:09.440
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0:35:09.480 --> 0:35:12.759
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