WEBVTT - BI Weekend: Oracle Earnings, Novo Cuts, Anglo Deal  

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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 Scarletfoo and Paul Sweeney.

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<v Speaker 2>How do you think the FED is looking at tariffs?

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<v Speaker 3>The uncertainty of terriffs. Let's take a look at the

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<v Speaker 3>sectors and how they performed.

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<v Speaker 4>A lot of investors getting whip saled every day by

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<v Speaker 4>news events.

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<v Speaker 1>Breaking market headlines, and corporate news from across the globe.

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<v Speaker 3>Could we see a market disruption of market events?

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<v Speaker 2>So people just too exuberant out there?

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<v Speaker 3>You see some so called low quality stocks driving this

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<v Speaker 3>short term rally.

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

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<v Speaker 1>YouTube and Bloomberg Originals.

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<v Speaker 3>I'm Scarletfoo and I'm normal Inda, filling in for Paul

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<v Speaker 3>Sweeney on today's Bloomberg Intelligence Show. We dig inside the

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<v Speaker 3>big business stories impacting Wall Street and the global markets.

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<v Speaker 5>Each and every week, we provide in depth research and

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<v Speaker 5>data on some of the two thousand companies and one

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<v Speaker 5>hundred and thirty industries are analysts cover worldwide.

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<v Speaker 3>Today, we look at one of the biggest mining deals

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<v Speaker 3>in over a decade.

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<v Speaker 5>Plaus Well look at why the Danish drug maker Novo

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<v Speaker 5>Nordist is cutting about eleven percent of its workforce.

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<v Speaker 3>But first we begin with earnings from the computer tech

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<v Speaker 3>company Oracle.

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<v Speaker 5>This week, the company gave an aggressive outlook for its

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<v Speaker 5>cloud business, causing the stock to surge the most since

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<v Speaker 5>nineteen ninety two.

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<v Speaker 3>For more, guest host Alexis Christophers and I were joined

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<v Speaker 3>by anor Agrana, Bloomberg Intelligence technology analyst. We first asked

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<v Speaker 3>on Aroan to break down Oracles earnings and the company's

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<v Speaker 3>major stock jump.

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<v Speaker 6>Oracle is a very unique company because it has your

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<v Speaker 6>traditional software but also a few years ago it started

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<v Speaker 6>a cloud business called Oracle Cloud Infrastructure, something very similar

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<v Speaker 6>to what Aws Tells or Microsoft Azure. And one of

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<v Speaker 6>the advantages it has is it just rents out it's

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<v Speaker 6>you know, servers for people to go out and train

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<v Speaker 6>their AI models or you know, run their applications on it.

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<v Speaker 6>So this is really a new business for them, you know,

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<v Speaker 6>just came up the last few years, and that's where

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<v Speaker 6>the biggest growth is and that's what's driving the stock.

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<v Speaker 3>What's happening with the rest of the company, its operations,

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<v Speaker 3>it's software bil business. Is it still cutting costs for instance,

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<v Speaker 3>and reducing headcount.

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<v Speaker 6>The advantage Oracle has compared to let's say a company

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<v Speaker 6>like core v for Nebus, is that it has a

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<v Speaker 6>very high margin database business and very high margin application business.

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<v Speaker 6>These businesses have gross margins, you know, let's say north

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<v Speaker 6>of ninety percent. Now when you marry that with a

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<v Speaker 6>massive AI infrastructure business where you need to spend a

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<v Speaker 6>lot of money, that's problematic for somebody that doesn't have that.

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<v Speaker 6>But Oracle has that luxury that it can spend billions

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<v Speaker 6>of dollars. You know, before we were thinking they're going

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<v Speaker 6>to spend you know, somewhere in the low thirty billion range,

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<v Speaker 6>which was already higher than what they had guided, and

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<v Speaker 6>you know, even the street was expecting. They came out

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<v Speaker 6>and said they're going to spend over thirty five billion

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<v Speaker 6>and you know the next financial year. So that's a

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<v Speaker 6>lot of money going into expanding data center, buying chips

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<v Speaker 6>by you know, creating a new infrastructure to fulfill this demand.

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<v Speaker 7>When you look at the competition here, Microsoft, Amazon, Alphabet,

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<v Speaker 7>what does Oracle or how does Oracle differentiate itself not

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<v Speaker 7>only for the customer, the client, but for investors.

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<v Speaker 6>Yeah, and one of the things I would say is

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<v Speaker 6>everybody is having a good time in this particular party.

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<v Speaker 8>It's not just you know, one company that's scaling it.

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<v Speaker 6>It's just the size of their business is far smaller

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<v Speaker 6>than it is for let's say AWS or Microsoft. You know,

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<v Speaker 6>in the last financial year, the revenue was you know,

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<v Speaker 6>roughly about ten billion or so. Aws's rund rate is

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<v Speaker 6>one hundred and twenty five billion. Microsoft's business is seventy

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<v Speaker 6>five billion. Google's business is fifty billion. So you know, please,

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<v Speaker 6>you know, you've got to take that with the context

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<v Speaker 6>of how big Oracle's cloud infrastructure is compared to some

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<v Speaker 6>of the bigger vendors out there.

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<v Speaker 3>You know, honrog it feels like Oracle kind of came

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<v Speaker 3>from out of nowhere with its you know, contributions to

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<v Speaker 3>the AI space and being such a big player. Certainly,

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<v Speaker 3>the bookings of almost half a trillion dollars caught my eye,

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<v Speaker 3>and it's more than four times what it was the

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<v Speaker 3>same time last year. Are there any other kind of

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<v Speaker 3>dark horses out there that you would be keeping your

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<v Speaker 3>eye on that could be the next Oracle, which is

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<v Speaker 3>already feels like it's the next in.

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<v Speaker 6>VideA, Yeah, I think one of the things you have

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<v Speaker 6>to think about it is it's not easy to come

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<v Speaker 6>up with this structure. A lot of business like this

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<v Speaker 6>because you need billions of dollars to create a data

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<v Speaker 6>center or to lease out a data center, then buy

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<v Speaker 6>equipment like in Vidia chips and computing equipment. There are

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<v Speaker 6>a handful of companies like you know, core beav of Nebeus,

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<v Speaker 6>which are smaller neo cloud players that specialize in renting

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<v Speaker 6>and VideA GPUs to customers. Now, the bigger vendors have

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<v Speaker 6>the capital that they are also expanding it. But again,

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<v Speaker 6>as I said, given the size of the increment that

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<v Speaker 6>they are seeing, you know, you're not getting that same

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<v Speaker 6>growth rate.

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<v Speaker 7>Do you think there's a little over exuberance though in

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<v Speaker 7>the market, especially with so much talk about whether or

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<v Speaker 7>not we are in an AI bubble and what happens

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<v Speaker 7>if it starts to deflate.

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<v Speaker 8>Yeah.

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<v Speaker 6>See, one of the things you have to remember is

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<v Speaker 6>for Oracle, at least they have this backlock of ordos

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<v Speaker 6>coming in and it's coming you know. For example, one

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<v Speaker 6>of the biggest customers right now is open Ai. If

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<v Speaker 6>Opening Eye continues to expand revenue at a good pace

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<v Speaker 6>over the next several years, they are going to be

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<v Speaker 6>spending a lot of money to train their models in

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<v Speaker 6>order to stay ahead. So I think there is a

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<v Speaker 6>lot of relationship over there. If let's say you and

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<v Speaker 6>I don't use chat GPT as much, that would have

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<v Speaker 6>an impact on open Aiy's revenue, That would have impact

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<v Speaker 6>downstream revenue on all the other players, you know, whether

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<v Speaker 6>that's in Verdiao Oracle.

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<v Speaker 8>But frankly speaking, we are not there yet.

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<v Speaker 3>It doesn't feel like this is a situation where it's

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<v Speaker 3>a zero sum game Oracle wins and Microsoft, Google and

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<v Speaker 3>Amazon lose, or is it.

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<v Speaker 6>So there are a few companies that fall into this pocket,

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<v Speaker 6>you know, and those include Amazon Web Services, Microsoft, Google

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<v Speaker 6>Cloud Code, viv Oracle, and Nabius for example. So these

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<v Speaker 6>are the ones that are seeing extra spending right now.

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<v Speaker 6>But when you look at on the application side, you know,

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<v Speaker 6>whether that's Salesforce or Workday, those guys are not seeing

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<v Speaker 6>that benefit because they're not in that infrastructure game. So

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<v Speaker 6>there's a huge difference between two vendors, or between the

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<v Speaker 6>two category of vendors.

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<v Speaker 8>Right now.

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<v Speaker 6>We are more in the built phase of AI, not

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<v Speaker 6>the implementation phase of AI.

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<v Speaker 7>You know, it's hard to believe, Scarlett, but this stock

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<v Speaker 7>and is now worth more than has a larger market

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<v Speaker 7>cap than Walmart, Eli, Lilly, JP, Morgan Chase.

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<v Speaker 3>Yeah, that is pretty remarkable, and again it feels like

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<v Speaker 3>it kind of came from out of nowhere.

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<v Speaker 7>You're right on that, which is why I brought up,

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<v Speaker 7>you know, Amazon, Microsoft, right on your rog I mean,

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<v Speaker 7>the fact that those were the names we were really

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<v Speaker 7>talking about when it came to AI and then sort

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<v Speaker 7>of Oracle comes out of out of the blue.

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<v Speaker 6>Yeah, but that's the whole point this particular infrastructure. If

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<v Speaker 6>you're going to run large models, it's very unlikely you

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<v Speaker 6>going to do it in house. I mean, you can

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<v Speaker 6>do it, but you required a lot of investment going in.

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<v Speaker 6>You're better off renting out data center capacity or computing

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<v Speaker 6>capacity from one of the cloud vendors. And Oracle has

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<v Speaker 6>the money to spend it, and they have the relationship

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<v Speaker 6>with Nvidia to get those GPUs. And on top of that,

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<v Speaker 6>they're offering this to customers and saying here's my equipment,

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<v Speaker 6>come and test it out the way you like it. Amazon,

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<v Speaker 6>on the other hand, thought example sells it as a package,

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<v Speaker 6>and that's where you're you're seeing some distinction. And also

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<v Speaker 6>the size, as I mentioned, before our.

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<v Speaker 5>Thanks to Honor Agrana, Bloomberg Intelligence technology analysts.

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<v Speaker 3>We move next to news in the telecommunications space.

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<v Speaker 5>This week, the space tech company SpaceX agreed to buy

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<v Speaker 5>wireless spectrum from EchoStar for about seventeen billion dollars in

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<v Speaker 5>cash and stock.

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<v Speaker 3>And this comes weeks after EchoStar agreed to sell spectrum

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<v Speaker 3>licenses to AT and T for about twenty three billion

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<v Speaker 3>dollars in an all cash transaction.

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<v Speaker 8>For more.

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<v Speaker 5>Guest host Alexis Christopherus was joined by John Butler, Bloomberg

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<v Speaker 5>Intelligence Senior telecom analysts. We first asked John how this

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<v Speaker 5>deal will help SpaceX.

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<v Speaker 9>So the key to this deal is a spectrum called

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<v Speaker 9>AWS four. So if you look at Starlink and it's

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<v Speaker 9>sprivals in the satellite space, they all hold spectrum, but

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<v Speaker 9>they're not allowed to offer wireless spectrum, I'm sorry, wireless

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<v Speaker 9>services over that spectrum. AWS four spectrum, according to the FCC,

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<v Speaker 9>can be used flexibly. It's called flexible use spectrum, meaning

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<v Speaker 9>the satellite providers can offer anything from mobile services to

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<v Speaker 9>satellite data, downlinked services, video, whatever. It's open use spectrum

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<v Speaker 9>if you want to think of it that way. And

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<v Speaker 9>so Starlink getting its hands on this key spectrum will

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<v Speaker 9>allow them at some point in the future to potentially

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<v Speaker 9>enter the wireless market as a competitor to AT and T,

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<v Speaker 9>Verizon and T Mobile.

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<v Speaker 7>So EchoStar's shareholders seem to like this deal. What are

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<v Speaker 7>they going to do with the proceeds? What will Echo

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<v Speaker 7>Star do with the proceeds of the sale?

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<v Speaker 9>So for EchoStar, it's a very good deal as well.

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<v Speaker 9>They have really struggled to get their wireless service off

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<v Speaker 9>the ground. They've been building this five G wireless network

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<v Speaker 9>and have a relatively weak prepaid brand called Boost and

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<v Speaker 9>they've really struggled there. So this brings in much needed

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<v Speaker 9>funds for them to pay down debt. They've been a

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<v Speaker 9>bit stretched on that front, over leveraged, and you know,

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<v Speaker 9>this deal, together with a deal a couple of weeks

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<v Speaker 9>ago with AT and T, is going to bring in

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<v Speaker 9>billions of dollars to reduce debt. That's number one. And

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<v Speaker 9>number two, it brings in fresh capital for them to

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<v Speaker 9>invest in the business. And I have a feeling they're

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<v Speaker 9>probably going to take a step back and reevaluate the

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<v Speaker 9>strategy here based on the fresh funding and decide what

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<v Speaker 9>the best avenues of growth may be going forward.

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<v Speaker 7>I'm wondering if this is going to satisfy the FCC

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<v Speaker 7>this deal, because I know that they were sort of

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<v Speaker 7>on EchoStar's case, if you will. They wanted them to

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<v Speaker 7>sell some of their airwaves as the company looks to

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<v Speaker 7>roll out it's five G technology. I know they sold

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<v Speaker 7>some spectrum licenses to at and recently. So do you

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<v Speaker 7>think this is going to sort of take the FCC

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<v Speaker 7>off their backs?

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<v Speaker 2>I do.

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<v Speaker 9>I mean, I think Starlink was working with the FCC.

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<v Speaker 9>They had written a letter about Echo Stars under use

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<v Speaker 9>of this spectrum. Starlink obviously really wants to get their

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<v Speaker 9>hands on it, and I think the FCC really took

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<v Speaker 9>their side on this one. I think they understood that

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<v Speaker 9>echo Star, being the only owner of this flexible use spectrum,

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<v Speaker 9>had not really put it to use to date, so

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<v Speaker 9>in their view it was being underutilized and being such

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<v Speaker 9>a critical asset, felt that, you know, sale might make sense,

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<v Speaker 9>and so they really EchoStar really got into it with

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<v Speaker 9>the FCC trying to protect those licenses. But in the

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<v Speaker 9>end here I think, if you want to think of

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<v Speaker 9>it this way, the FCC won the day and net.

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<v Speaker 9>I think it's a good deal for both Echo Stars

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<v Speaker 9>and Starlink and the FCC.

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<v Speaker 7>Now I know SpaceX or Starlink had a deal with

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<v Speaker 7>T Mobile, right, how is this spectrum acquisition with EchoStar

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<v Speaker 7>different if at all?

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<v Speaker 9>So? I think ultimately Starlink could go from being a

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<v Speaker 9>partner with T Mobile to being a competitor of T Mobiles.

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<v Speaker 9>As I said a moment ago, this spectrum opens the

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<v Speaker 9>door for them to get into wireless directly without having

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<v Speaker 9>to partner with a terrestrial carrier. The current deal with

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<v Speaker 9>T Mobile basically has Starlink. I think the best way

0:11:36.880 --> 0:11:40.240
<v Speaker 9>to think about it is they're almost like a tower company.

0:11:40.360 --> 0:11:44.480
<v Speaker 9>They're providing the space based cell sites if you will,

0:11:44.640 --> 0:11:48.160
<v Speaker 9>to carry T Mobile traffic, and they get paid a

0:11:48.200 --> 0:11:52.120
<v Speaker 9>fee for that, but they're not earning the level of

0:11:52.240 --> 0:11:55.920
<v Speaker 9>profits that you could as as a direct carrier. So

0:11:56.080 --> 0:12:00.079
<v Speaker 9>down the road, Starlink, understanding this, wants to enter the

0:12:00.760 --> 0:12:03.800
<v Speaker 9>cellular business directly. They have a lot to do before

0:12:03.880 --> 0:12:08.640
<v Speaker 9>that that happens, but I think it longer term puts

0:12:08.720 --> 0:12:11.599
<v Speaker 9>the deal with T Mobile in jeopardy.

0:12:11.880 --> 0:12:14.600
<v Speaker 7>The seventeen billion dollars a fair price for this for

0:12:14.640 --> 0:12:15.640
<v Speaker 7>these spectrum licenses.

0:12:15.640 --> 0:12:17.600
<v Speaker 6>Do you think you know?

0:12:17.720 --> 0:12:22.560
<v Speaker 9>Spectrums a very liquid market, so it's tough to gauge valuations.

0:12:22.600 --> 0:12:25.679
<v Speaker 9>But in my mind, I look at it as a

0:12:25.720 --> 0:12:30.959
<v Speaker 9>fair price given the potential again for Starlink to enter

0:12:31.040 --> 0:12:33.280
<v Speaker 9>this huge market. Down the road.

0:12:33.559 --> 0:12:37.000
<v Speaker 3>Our thanks to John Butler, Bloomberg Intelligence, senior telecom analyst.

0:12:37.320 --> 0:12:39.319
<v Speaker 5>Coming up, Well, look at how the US's ability to

0:12:39.360 --> 0:12:42.439
<v Speaker 5>assess data on climate change is being impacted by the

0:12:42.440 --> 0:12:43.280
<v Speaker 5>Trump administration.

0:12:43.600 --> 0:12:46.760
<v Speaker 3>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:12:46.800 --> 0:12:49.280
<v Speaker 3>depth research and data on two thousand companies at one

0:12:49.360 --> 0:12:50.440
<v Speaker 3>hundred and thirty industries.

0:12:50.480 --> 0:12:53.400
<v Speaker 5>You can access Bloomberg Intelligence via Bigo on the terminal.

0:12:53.520 --> 0:12:54.480
<v Speaker 5>I'm Normal Indo.

0:12:54.400 --> 0:12:56.880
<v Speaker 3>And I'm Scarlet Food. This is Bloomberg.

0:13:00.440 --> 0:13:04.840
<v Speaker 1>Is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney on

0:13:05.040 --> 0:13:06.079
<v Speaker 1>Bloomberg Radio.

0:13:06.800 --> 0:13:09.120
<v Speaker 5>I'm Scarlet Foo and I'm normal in a filling in

0:13:09.160 --> 0:13:11.839
<v Speaker 5>for Paul Sweeney. We move next to a major deal

0:13:11.920 --> 0:13:12.880
<v Speaker 5>in the mining industry.

0:13:13.080 --> 0:13:15.800
<v Speaker 3>This week, the global mining company Anglo American agree to

0:13:15.840 --> 0:13:18.920
<v Speaker 3>acquire Canada's natural resource company tech Resources.

0:13:19.040 --> 0:13:21.560
<v Speaker 5>It's a so called zero premium deal and this deal

0:13:21.559 --> 0:13:24.400
<v Speaker 5>will create a more than fifty billion dollar company and

0:13:24.440 --> 0:13:26.960
<v Speaker 5>one of the biggest mining deals in over a decade.

0:13:27.040 --> 0:13:29.520
<v Speaker 3>So for more guest host Alexis Christophers and I were

0:13:29.559 --> 0:13:33.280
<v Speaker 3>joined by Richard Burke, Bloomberg Intelligence senior basic materials analysts.

0:13:33.480 --> 0:13:36.960
<v Speaker 3>We first asked Richard what a zero premium transaction actually is.

0:13:37.720 --> 0:13:40.240
<v Speaker 4>So what they've done is it's a merger of equals,

0:13:40.400 --> 0:13:43.360
<v Speaker 4>and it's kind of interesting even though it's it's labeled

0:13:43.440 --> 0:13:48.120
<v Speaker 4>mergers equal that American Angle shareholders are going to end

0:13:48.240 --> 0:13:53.600
<v Speaker 4>up owning Butts two thirds of company roughly, and tech

0:13:53.720 --> 0:13:58.080
<v Speaker 4>is shareholders going to end up owning a third company. Well,

0:13:58.120 --> 0:14:00.960
<v Speaker 4>it's gonna be headquarter in Canada, the board is going

0:14:01.040 --> 0:14:04.079
<v Speaker 4>to be fifty to fifty the city, and the management's

0:14:04.080 --> 0:14:06.760
<v Speaker 4>gonna be fifty to fifty. So even though it's kind

0:14:06.760 --> 0:14:11.280
<v Speaker 4>of you know, no premium merger equals kind of you know,

0:14:11.360 --> 0:14:14.959
<v Speaker 4>the the governance issues kind of point to merger of

0:14:15.000 --> 0:14:18.920
<v Speaker 4>equals and that's really probably structured in order to get

0:14:19.120 --> 0:14:23.640
<v Speaker 4>approved by the Investment Act Kada Investment Act. And also

0:14:23.800 --> 0:14:28.200
<v Speaker 4>the Kevil family that owns Tech has two classes shore olders,

0:14:28.200 --> 0:14:31.520
<v Speaker 4>class Class A and Class B. Class A is super

0:14:31.600 --> 0:14:36.000
<v Speaker 4>voting rights. He's owned, he owns majority of those shares,

0:14:36.280 --> 0:14:39.600
<v Speaker 4>so he has to approve this deal. In the past,

0:14:39.640 --> 0:14:42.080
<v Speaker 4>he you know, Glenn Corter, when Glencourt tried to buy

0:14:42.120 --> 0:14:45.840
<v Speaker 4>them about two years ago, he kind of vetoed the deal.

0:14:45.960 --> 0:14:47.920
<v Speaker 4>So the deal and go through. So there's kind of

0:14:47.960 --> 0:14:51.440
<v Speaker 4>a unique structure this deal to kind of you know,

0:14:51.560 --> 0:14:54.160
<v Speaker 4>fitted through final approval makes sense.

0:14:54.360 --> 0:14:57.120
<v Speaker 3>Okay. So there was also language in the statement of

0:14:57.120 --> 0:14:59.200
<v Speaker 3>this so called merger of equals that would allow both

0:14:59.240 --> 0:15:02.920
<v Speaker 3>firms to con that are unsolicited proposals and for the

0:15:03.000 --> 0:15:05.160
<v Speaker 3>deal to end if there's a better offer. Does that

0:15:05.200 --> 0:15:09.200
<v Speaker 3>mean they're angling for some counter offer from someone else.

0:15:09.200 --> 0:15:13.800
<v Speaker 4>Well, I think it would be a hard press, I doubt,

0:15:14.080 --> 0:15:16.760
<v Speaker 4>in order to get it through the Canadian Investment Act,

0:15:16.800 --> 0:15:20.160
<v Speaker 4>which you know, copper is now being considered a critical

0:15:20.200 --> 0:15:24.360
<v Speaker 4>material critical mineral. Canada has said they don't want to

0:15:24.360 --> 0:15:27.840
<v Speaker 4>see any of their mining companies go away. So would

0:15:27.880 --> 0:15:30.920
<v Speaker 4>somebody come in who can pay that much, be willing

0:15:31.080 --> 0:15:34.320
<v Speaker 4>or to PHP or Rio Tinto, be willing to move

0:15:34.400 --> 0:15:38.440
<v Speaker 4>their headquarters from where they're at to Canada. I highly

0:15:38.520 --> 0:15:41.040
<v Speaker 4>doubt it. So, but I think you have to put

0:15:41.080 --> 0:15:43.840
<v Speaker 4>that language in the deal that hey, we're open to.

0:15:44.360 --> 0:15:47.640
<v Speaker 10>So it's like boilerplate, language plate and also prevent that

0:15:47.720 --> 0:15:50.240
<v Speaker 10>you know't get sued by shareholders that you have to

0:15:50.280 --> 0:15:52.080
<v Speaker 10>go out and looked at for all deals.

0:15:52.160 --> 0:15:52.400
<v Speaker 8>Right.

0:15:52.640 --> 0:15:55.160
<v Speaker 7>Do you think that this deal though, between Anglo American

0:15:55.200 --> 0:15:57.440
<v Speaker 7>and Tech is going to be the thing that sort

0:15:57.440 --> 0:16:01.160
<v Speaker 7>of ignites more M and A in this industry?

0:16:01.520 --> 0:16:04.000
<v Speaker 4>I think you know, they used to be saying I

0:16:04.080 --> 0:16:06.800
<v Speaker 4>used to cover oil and gas industry years ago before

0:16:07.800 --> 0:16:09.960
<v Speaker 4>more focused on Melson mining. There's you used to be

0:16:10.040 --> 0:16:12.520
<v Speaker 4>on saying it's cheaper draw on Wall Street and then

0:16:12.760 --> 0:16:16.560
<v Speaker 4>drill up in the field. And that seems to be

0:16:16.640 --> 0:16:21.320
<v Speaker 4>happening in If you look at how much it costs

0:16:21.360 --> 0:16:25.200
<v Speaker 4>to you know, get a new copper, deposit up and

0:16:25.200 --> 0:16:28.360
<v Speaker 4>writing also how many years were permitting and all the

0:16:28.440 --> 0:16:33.840
<v Speaker 4>other things that happens, you can see that maybe you

0:16:33.920 --> 0:16:36.400
<v Speaker 4>sit down and look at this and say, Okay, maybe

0:16:36.560 --> 0:16:39.680
<v Speaker 4>cheaper draw out, you know, mine on Wall Street, then

0:16:39.760 --> 0:16:40.440
<v Speaker 4>go out and make the.

0:16:40.480 --> 0:16:44.080
<v Speaker 5>Mine our Thanks to Richard Bork Bloomberg Intelligence Senior Basic

0:16:44.120 --> 0:16:45.840
<v Speaker 5>materials analysts.

0:16:45.280 --> 0:16:47.600
<v Speaker 3>We now moved to some news in the pharmaceutical space.

0:16:47.880 --> 0:16:50.280
<v Speaker 5>This week, the Danish drug maker Novo Nordis announces it's

0:16:50.280 --> 0:16:53.720
<v Speaker 5>cutting nine thousand jobs globally. This equals about eleven percent

0:16:53.720 --> 0:16:56.440
<v Speaker 5>of its workforce. The company also cut its profit forecast

0:16:56.520 --> 0:16:58.560
<v Speaker 5>for the third time this year as it fights to

0:16:58.560 --> 0:17:00.440
<v Speaker 5>recover ground in the obesity dry market.

0:17:00.720 --> 0:17:03.200
<v Speaker 3>For more on this, guest host Alexis Christophers and I

0:17:03.280 --> 0:17:06.240
<v Speaker 3>turned to Sam Fazzelli, Bloomberg Intelligence, Director of Research for

0:17:06.280 --> 0:17:10.320
<v Speaker 3>Global Industries and senior pharmaceuticals analysts. We began by asking

0:17:10.359 --> 0:17:13.240
<v Speaker 3>Sam to talk about the larger changes taking place at NOVO.

0:17:13.640 --> 0:17:15.520
<v Speaker 11>The story here is that this is not the first

0:17:15.520 --> 0:17:17.840
<v Speaker 11>time they've lowered guidance for the year. I mean this

0:17:17.920 --> 0:17:20.840
<v Speaker 11>time there's an impact on the EPs front from obviously

0:17:20.840 --> 0:17:24.040
<v Speaker 11>the cost of restructuring, assuming they can get it all

0:17:24.080 --> 0:17:26.400
<v Speaker 11>done this year, but it's a pretty chunky one. Nine

0:17:26.440 --> 0:17:28.800
<v Speaker 11>thousand people, about eleven percent of the workforce, and a

0:17:28.840 --> 0:17:29.320
<v Speaker 11>lot of that.

0:17:29.240 --> 0:17:30.600
<v Speaker 8>Coming from Denmark.

0:17:31.400 --> 0:17:33.960
<v Speaker 11>If you read the essence of the press release that

0:17:33.960 --> 0:17:35.320
<v Speaker 11>they put at there's a couple of things that they

0:17:35.320 --> 0:17:35.639
<v Speaker 11>bring out.

0:17:35.640 --> 0:17:38.000
<v Speaker 8>They want to invest more on R and D Well.

0:17:38.520 --> 0:17:40.160
<v Speaker 11>What I think this is telling you is that the

0:17:40.200 --> 0:17:42.960
<v Speaker 11>growth that they had planned for the next five years,

0:17:43.200 --> 0:17:45.320
<v Speaker 11>they may be thinking maybe that won't come as test

0:17:45.359 --> 0:17:48.480
<v Speaker 11>as we were expecting it because of competition from Lily,

0:17:49.000 --> 0:17:52.399
<v Speaker 11>compounders and other products potentially coming to market to the

0:17:52.440 --> 0:17:54.119
<v Speaker 11>pace that they were hoping. So if you want to

0:17:54.200 --> 0:17:55.919
<v Speaker 11>keep investing in R and D, you need to liberate

0:17:55.960 --> 0:17:58.920
<v Speaker 11>some cash. And also it looks like that they're also

0:17:58.920 --> 0:18:01.560
<v Speaker 11>thinking about changing the world that they're doing their marketing

0:18:02.040 --> 0:18:04.359
<v Speaker 11>because of the different channels that they're getting involved with

0:18:04.400 --> 0:18:07.119
<v Speaker 11>now direct to consumer, that is not something that Prauma

0:18:07.200 --> 0:18:09.719
<v Speaker 11>has done very often before. In fact, only Lily had

0:18:09.760 --> 0:18:13.160
<v Speaker 11>done it prior to this, also for obesity drugs, So

0:18:13.240 --> 0:18:15.280
<v Speaker 11>maybe the costs of that are different. And there's an

0:18:15.320 --> 0:18:17.320
<v Speaker 11>element that they keep that they've referred to in there,

0:18:17.359 --> 0:18:24.879
<v Speaker 11>which is a culture of performance related reward, and you

0:18:24.880 --> 0:18:27.119
<v Speaker 11>think to yourself, well, what was it before? So it

0:18:27.200 --> 0:18:30.719
<v Speaker 11>seems like that they want to make it much harder

0:18:30.760 --> 0:18:33.840
<v Speaker 11>focus on you've got to deliver because we need the growth.

0:18:34.080 --> 0:18:35.280
<v Speaker 8>So that's the interesting wle to.

0:18:35.240 --> 0:18:37.679
<v Speaker 7>Watch, you know, Sam, I think to a lot of

0:18:37.720 --> 0:18:41.800
<v Speaker 7>casual investors who don't deep dive into you know, Novo

0:18:41.880 --> 0:18:44.439
<v Speaker 7>Nordisk the way you might say, would look at this

0:18:44.480 --> 0:18:47.679
<v Speaker 7>and say, listen, they have the most popular weight loss drugs, right,

0:18:47.720 --> 0:18:51.280
<v Speaker 7>will go vi Ozempek. Why is this company having these

0:18:51.320 --> 0:18:55.280
<v Speaker 7>problems when you drill down or is it just a

0:18:55.359 --> 0:18:58.399
<v Speaker 7>problem with having to scale too quickly? Is it that

0:18:58.400 --> 0:19:02.159
<v Speaker 7>the company isn't nimble enough, just sort of change with

0:19:02.200 --> 0:19:03.280
<v Speaker 7>the times.

0:19:04.000 --> 0:19:07.239
<v Speaker 11>Well, Nobodordisk has been a poster child of how you

0:19:07.280 --> 0:19:11.560
<v Speaker 11>grow from a small company selling to a relatively basic

0:19:11.600 --> 0:19:14.840
<v Speaker 11>set of products twenty thirty years ago to one that's

0:19:14.880 --> 0:19:17.840
<v Speaker 11>become essentially one of the innovators in this space. They

0:19:17.920 --> 0:19:19.960
<v Speaker 11>brought the first JL we want to market, so we

0:19:20.040 --> 0:19:22.680
<v Speaker 11>can't fault them for that. It's just that I think

0:19:22.720 --> 0:19:25.399
<v Speaker 11>this growth that they had to go through where the

0:19:25.560 --> 0:19:27.359
<v Speaker 11>planning was done, you know a lot of I mean,

0:19:27.400 --> 0:19:30.200
<v Speaker 11>we have one hundred billion dollar market potential for more

0:19:30.320 --> 0:19:34.800
<v Speaker 11>obesity as a whole, right, So it's just difficult, I think,

0:19:34.840 --> 0:19:37.600
<v Speaker 11>to judge into this space. And maybe the previous CEO

0:19:37.640 --> 0:19:39.919
<v Speaker 11>had looked and said, I'm pretty sure we're going to

0:19:39.920 --> 0:19:42.200
<v Speaker 11>be fifty percent of that market. We need to plan

0:19:42.280 --> 0:19:46.320
<v Speaker 11>for that growth. And then two things changed. Competition from

0:19:46.359 --> 0:19:49.359
<v Speaker 11>really is superintense. They have what I would call it

0:19:49.359 --> 0:19:51.760
<v Speaker 11>a better drug in terms of the efficacy profile that's

0:19:51.800 --> 0:19:54.960
<v Speaker 11>been shown in head to her trials. And then of

0:19:55.000 --> 0:19:57.480
<v Speaker 11>course you've got on top of that compounders that don't

0:19:57.520 --> 0:20:00.760
<v Speaker 11>seem to be don't seem to be going way, they

0:20:00.840 --> 0:20:04.560
<v Speaker 11>keep taking cheaper generics or generics manufactured, they'll try to

0:20:04.600 --> 0:20:08.320
<v Speaker 11>making the drugs. So that's where I think the new

0:20:08.400 --> 0:20:11.920
<v Speaker 11>Area issue is in that we all expected the FDA

0:20:11.960 --> 0:20:14.400
<v Speaker 11>to really clump hard down on that and they haven't

0:20:16.040 --> 0:20:19.280
<v Speaker 11>made issue, you know, statements, but they're allowing them. They

0:20:19.280 --> 0:20:23.280
<v Speaker 11>even found areas outside the US where these compound compounders

0:20:23.280 --> 0:20:26.040
<v Speaker 11>can get their drugs from, which is counterintuitive.

0:20:26.440 --> 0:20:29.760
<v Speaker 5>Our thanks to Sam Fazelli, Bloomberg Intelligence, Director of Research

0:20:29.760 --> 0:20:32.240
<v Speaker 5>for Global Industries and senior pharmaceuticals analysts.

0:20:32.520 --> 0:20:34.680
<v Speaker 3>This week we focus on a Bloomberg Big Take story

0:20:34.840 --> 0:20:38.280
<v Speaker 3>entitled Trump is Unwinding Climate Science at a Dangerous Pace.

0:20:38.440 --> 0:20:40.920
<v Speaker 3>You can find it on Bloomberg dot Com and the Terminal.

0:20:41.040 --> 0:20:44.640
<v Speaker 5>The story looks at how mass firings, regulatory rollbacks, program closures,

0:20:44.680 --> 0:20:48.040
<v Speaker 5>and funding cuts across agencies have threatened the US's ability

0:20:48.080 --> 0:20:50.800
<v Speaker 5>to gather and says data on climate change, and this

0:20:50.840 --> 0:20:52.200
<v Speaker 5>is under the current Trump administration.

0:20:52.640 --> 0:20:55.320
<v Speaker 3>For more guestos, Alexis Christophers and I were joined by

0:20:55.440 --> 0:20:59.040
<v Speaker 3>Eric Roston, Bloomberg Climate reporter. We began by asking Eric

0:20:59.200 --> 0:21:02.480
<v Speaker 3>to explain how President Trump's policies are impacting the ability

0:21:02.600 --> 0:21:03.440
<v Speaker 3>to gather data.

0:21:03.960 --> 0:21:09.200
<v Speaker 2>Whether you are a mayor of a city, or head

0:21:09.240 --> 0:21:13.400
<v Speaker 2>of an insurance company or head of an agriculture company,

0:21:14.119 --> 0:21:19.560
<v Speaker 2>everyone throughout the economy, public and private sector needs good

0:21:19.680 --> 0:21:24.399
<v Speaker 2>information to make good decisions, and the US in recent

0:21:24.480 --> 0:21:29.439
<v Speaker 2>decades has had the global leadership role in developing the

0:21:29.560 --> 0:21:33.120
<v Speaker 2>kinds of data that everybody needs in order to see

0:21:33.160 --> 0:21:37.000
<v Speaker 2>what's coming, to set insurance rates, to understand whether we

0:21:37.040 --> 0:21:40.560
<v Speaker 2>should build a house here, to understand if this floodplane

0:21:40.680 --> 0:21:43.680
<v Speaker 2>is going to be like a bad place to build houses.

0:21:45.520 --> 0:21:49.000
<v Speaker 2>And so that's the data we're talking about here, is

0:21:49.200 --> 0:21:53.520
<v Speaker 2>actionable data that people in the economy have come to

0:21:53.600 --> 0:21:58.560
<v Speaker 2>rely on to make decisions. To cite one of the

0:21:58.560 --> 0:22:00.800
<v Speaker 2>many examples we talk about it in in the story,

0:22:02.520 --> 0:22:06.520
<v Speaker 2>the US produces it's supposed to be not more than

0:22:06.600 --> 0:22:11.800
<v Speaker 2>every four years national Climate Assessment, which is a huge

0:22:12.520 --> 0:22:14.960
<v Speaker 2>amount of time, a huge amount of time, and they take,

0:22:15.320 --> 0:22:18.000
<v Speaker 2>you know, years to develop, hundreds of people to write,

0:22:18.080 --> 0:22:22.000
<v Speaker 2>and thousands of papers that they're based on. And you

0:22:22.080 --> 0:22:26.720
<v Speaker 2>see these reports. Cite it in Travelers earning calls and

0:22:26.880 --> 0:22:30.840
<v Speaker 2>Chipotle earning calls and reports in Marriott, you know, brands

0:22:30.880 --> 0:22:34.280
<v Speaker 2>we see every day understand the material and understand the

0:22:34.280 --> 0:22:36.520
<v Speaker 2>needs of this material. I'm not putting words in their mouth.

0:22:36.560 --> 0:22:38.840
<v Speaker 2>I'm just pointing out that they say things like this,

0:22:39.960 --> 0:22:44.040
<v Speaker 2>those were taken away from public view. So I think

0:22:44.080 --> 0:22:47.879
<v Speaker 2>that's an interesting place to start on because like, yeah,

0:22:47.960 --> 0:22:52.800
<v Speaker 2>the government, like any government, can be cut right and

0:22:52.800 --> 0:22:57.040
<v Speaker 2>save money, and it's just the nature of bureaucracy. But

0:22:57.200 --> 0:23:02.760
<v Speaker 2>why are some of the most authoritative and well vetted

0:23:02.920 --> 0:23:08.760
<v Speaker 2>scientific reports ever written being taken away from public view

0:23:08.760 --> 0:23:10.040
<v Speaker 2>where they've been for many years?

0:23:11.000 --> 0:23:13.720
<v Speaker 3>All good questions, and I'm sure that we won't get

0:23:13.760 --> 0:23:16.240
<v Speaker 3>answers to them right away either. So what does it

0:23:16.280 --> 0:23:18.760
<v Speaker 3>mean if you're a company like Travelers and you're relying

0:23:18.800 --> 0:23:20.879
<v Speaker 3>on that data? Do you can you go to private

0:23:20.920 --> 0:23:23.440
<v Speaker 3>sources for that kind of information? Does that exist?

0:23:24.640 --> 0:23:28.159
<v Speaker 2>It's that's a great question. And if we had like

0:23:28.280 --> 0:23:30.920
<v Speaker 2>another two hours, I'd love to, you know, because we've

0:23:30.920 --> 0:23:33.520
<v Speaker 2>spent a lot of time in the last few years

0:23:33.680 --> 0:23:39.159
<v Speaker 2>on the private sectors, you know, filling a hole in

0:23:39.480 --> 0:23:44.359
<v Speaker 2>useful climate data that that businesses the businesses needs. So

0:23:44.400 --> 0:23:49.600
<v Speaker 2>the short answer is, yes, some of this this this data,

0:23:50.400 --> 0:23:52.439
<v Speaker 2>A lot of it is like translated into the language

0:23:52.440 --> 0:23:58.359
<v Speaker 2>of risk for companies, it does exist. The bigger concern is, like,

0:23:58.440 --> 0:24:01.600
<v Speaker 2>that's a tiny fraction of what we're talking about here.

0:24:02.440 --> 0:24:06.880
<v Speaker 2>You know, we're talking about, you know, very sophisticated computer

0:24:07.000 --> 0:24:10.200
<v Speaker 2>models that like the entire world relies on to make

0:24:10.320 --> 0:24:14.159
<v Speaker 2>sense of you know, observations we see and weather stations

0:24:14.240 --> 0:24:19.960
<v Speaker 2>and in you know, in other sources and a particularly

0:24:20.560 --> 0:24:22.280
<v Speaker 2>you know, I don't know, I'll get in trouble for

0:24:22.320 --> 0:24:25.359
<v Speaker 2>saying this, but this could be described as like the

0:24:25.359 --> 0:24:28.320
<v Speaker 2>most boring kind of data is also some of the

0:24:28.320 --> 0:24:33.560
<v Speaker 2>most important, and that is unsexy data. Unsexy data. It's

0:24:33.600 --> 0:24:38.600
<v Speaker 2>like continuous monitoring data. It's you know, it's very important

0:24:38.640 --> 0:24:42.760
<v Speaker 2>for some kinds of data that you have a complete,

0:24:42.960 --> 0:24:47.440
<v Speaker 2>unbroken record. The most iconic one in this space is

0:24:47.760 --> 0:24:51.959
<v Speaker 2>the CO two measurements from Hawaii and Mauna Loa that

0:24:52.000 --> 0:24:55.439
<v Speaker 2>have been going on since the late nineteen fifties and

0:24:55.920 --> 0:24:59.919
<v Speaker 2>are largely responsible for the discovery of global warming. Like

0:25:00.359 --> 0:25:03.919
<v Speaker 2>that data set, one of the most famous data sets

0:25:03.920 --> 0:25:10.160
<v Speaker 2>ever collected, was slated for closure in the recent White

0:25:10.200 --> 0:25:10.920
<v Speaker 2>House budget.

0:25:11.440 --> 0:25:14.520
<v Speaker 5>Hard thanks to Eric Roston Bloomberg Climate Reporter, Coming up,

0:25:14.720 --> 0:25:17.000
<v Speaker 5>look Ahead to a potentially big m and a deal

0:25:17.080 --> 0:25:18.000
<v Speaker 5>in the banking sector.

0:25:18.160 --> 0:25:21.320
<v Speaker 3>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:21.359 --> 0:25:23.840
<v Speaker 3>depth research and data on two thousand companies and one

0:25:23.920 --> 0:25:25.120
<v Speaker 3>hundred and thirty industries.

0:25:25.200 --> 0:25:28.120
<v Speaker 5>You can access Bloomberg Intelligence via Bigo on the terminal.

0:25:28.280 --> 0:25:31.040
<v Speaker 3>I'm normal Linda, and I'm Scarletfoo. This is Bloomberg.

0:25:38.240 --> 0:25:43.159
<v Speaker 1>This is Bloomberg Intelligence with Scarlettfoo and Paul Sweeney on

0:25:43.359 --> 0:25:44.399
<v Speaker 1>Bloomberg Radio.

0:25:45.320 --> 0:25:48.360
<v Speaker 3>I'm Scarletfoo and I'm normal Linda, filling in for Paul Sweeney.

0:25:48.560 --> 0:25:51.040
<v Speaker 3>We moved to some news in the banking sector this week.

0:25:51.119 --> 0:25:53.960
<v Speaker 3>PNC Financial Services agreed to buy First Bank for about

0:25:53.960 --> 0:25:56.960
<v Speaker 3>four point one billion dollars, adding more than twenty six

0:25:57.000 --> 0:26:00.600
<v Speaker 3>billion dollars in assets and branches in Colorado and Araa, Arizona.

0:26:00.640 --> 0:26:02.879
<v Speaker 5>The acquisition will triple the number of P and C

0:26:03.000 --> 0:26:05.560
<v Speaker 5>branches in Colorado, and it will give the combined company

0:26:05.600 --> 0:26:08.200
<v Speaker 5>more than fifteen percent of deposits in the state.

0:26:08.400 --> 0:26:11.240
<v Speaker 3>Guest hosts Alexis Christophers and I were joined by Herman Chen,

0:26:11.359 --> 0:26:15.160
<v Speaker 3>Bloomberg Intelligence, senior analysts for US regional banks. We first

0:26:15.160 --> 0:26:17.760
<v Speaker 3>asked Herman if bank regulators are going to be okay

0:26:17.800 --> 0:26:18.960
<v Speaker 3>with the deal of this size.

0:26:19.160 --> 0:26:22.880
<v Speaker 10>The regular toory landscape has been really great for banking

0:26:23.600 --> 0:26:26.600
<v Speaker 10>and getting bank deals done. That's why you've seen some

0:26:26.680 --> 0:26:29.399
<v Speaker 10>more bank deals over the past couple of months. You

0:26:29.480 --> 0:26:32.760
<v Speaker 10>saw Huntington, which is based in Ohio, go into Texas

0:26:32.760 --> 0:26:35.639
<v Speaker 10>for Vera Techs. And you've see an emerging of vehicles

0:26:35.640 --> 0:26:38.960
<v Speaker 10>in the Southeast with so Novas and Pinnacle. And this

0:26:39.080 --> 0:26:41.760
<v Speaker 10>is sort of like the third large regional bank deal

0:26:41.800 --> 0:26:44.119
<v Speaker 10>over the past couple months. So it just sort of

0:26:44.200 --> 0:26:47.040
<v Speaker 10>signals that the bank the Trump administration is really open

0:26:47.240 --> 0:26:48.120
<v Speaker 10>it for a bank of an am.

0:26:48.640 --> 0:26:52.040
<v Speaker 3>And this is not PNC's first attempt at real expanding

0:26:52.080 --> 0:26:54.960
<v Speaker 3>its Colorado presence. It had previously sought to open sixteen

0:26:55.000 --> 0:26:58.520
<v Speaker 3>locations in Colorado. Why is Colorado such a hot market

0:26:58.520 --> 0:26:58.920
<v Speaker 3>for P ANDC?

0:26:59.200 --> 0:27:02.560
<v Speaker 10>Right, I would take step back and sort of highlight

0:27:02.640 --> 0:27:07.240
<v Speaker 10>that the P and C, which is mostly in the Northeast,

0:27:07.280 --> 0:27:12.680
<v Speaker 10>mid Atlantic Midwest, that they've expanded across the Sun Belt

0:27:12.680 --> 0:27:15.280
<v Speaker 10>states in Colorado with the twenty twenty one deal for

0:27:15.760 --> 0:27:18.880
<v Speaker 10>BBVA USA, and they sort of double down on those

0:27:18.920 --> 0:27:22.920
<v Speaker 10>markets with this expansion plan to grow organically by opening

0:27:23.000 --> 0:27:25.679
<v Speaker 10>up new branches and this deal that they announced really

0:27:25.800 --> 0:27:29.320
<v Speaker 10>sort of supports that growth and accelerates it in Colorado

0:27:29.359 --> 0:27:30.440
<v Speaker 10>and in Arizona.

0:27:30.560 --> 0:27:32.879
<v Speaker 7>So I'm just wondering, as you look out onto the

0:27:32.960 --> 0:27:36.600
<v Speaker 7>landscape now, who might be the next takeover candidate. Who

0:27:36.640 --> 0:27:38.439
<v Speaker 7>might we be talking about in the not too just

0:27:38.480 --> 0:27:38.919
<v Speaker 7>in future.

0:27:39.040 --> 0:27:41.840
<v Speaker 10>Yeah, So you've seen some of these deals where these

0:27:42.359 --> 0:27:49.400
<v Speaker 10>slower growth Midwest banks grow into areas like Texas, Florida, Colorado.

0:27:49.600 --> 0:27:53.520
<v Speaker 10>So the banks are sort of smaller in size, and

0:27:53.720 --> 0:27:57.440
<v Speaker 10>we're talking about the first banks about twenty billion in assets,

0:27:57.480 --> 0:28:01.000
<v Speaker 10>so banks of slimmer of that size, these higher growth

0:28:01.040 --> 0:28:05.600
<v Speaker 10>markets are really attractive to some of these larger institutions.

0:28:06.520 --> 0:28:10.119
<v Speaker 3>So with this purchase, PNC's total assets approaches six hundred

0:28:10.119 --> 0:28:12.879
<v Speaker 3>billion dollars. It will bring it closer to the number

0:28:12.880 --> 0:28:15.840
<v Speaker 3>one regional bank, which is US Bank Corp. Is Uanrup

0:28:15.920 --> 0:28:17.920
<v Speaker 3>still a regional bank, Yeah.

0:28:18.040 --> 0:28:21.760
<v Speaker 10>I would say there are three super regional banks, and

0:28:21.800 --> 0:28:24.760
<v Speaker 10>that will put p and C, US Bank Corp and

0:28:24.840 --> 0:28:28.880
<v Speaker 10>Truest where they're sort of below that seven P fifty mark,

0:28:28.960 --> 0:28:32.879
<v Speaker 10>but larger than your typical regional bank. And they PNC

0:28:33.080 --> 0:28:35.960
<v Speaker 10>now is a coast to coast lender, so and have

0:28:36.080 --> 0:28:41.520
<v Speaker 10>operations all from the Northeast all the way down to Florida, Texas, California,

0:28:41.640 --> 0:28:44.800
<v Speaker 10>So you can't really call them a regional bank at

0:28:44.800 --> 0:28:48.200
<v Speaker 10>this point. I would view them as more super regional.

0:28:48.960 --> 0:28:50.520
<v Speaker 7>And I want to tie it back to the FED

0:28:50.560 --> 0:28:53.560
<v Speaker 7>in interest rates, because don't all roads really lead there

0:28:53.560 --> 0:28:56.320
<v Speaker 7>at this point, And I want to talk about what again,

0:28:56.360 --> 0:28:58.120
<v Speaker 7>if this is going to be an environment of lower

0:28:58.160 --> 0:29:01.040
<v Speaker 7>interest rates for the foreseeable future, what is this going

0:29:01.080 --> 0:29:03.680
<v Speaker 7>to mean for the banks, but especially these smaller regional banks,

0:29:03.680 --> 0:29:06.480
<v Speaker 7>because I'm thinking it may even squeeze their profitability more.

0:29:06.720 --> 0:29:06.960
<v Speaker 8>Yeah.

0:29:07.040 --> 0:29:10.760
<v Speaker 10>Yeah, it's interesting because we had a few FED rate

0:29:10.840 --> 0:29:13.240
<v Speaker 10>cuts at the end of last year, and the regional

0:29:13.240 --> 0:29:15.880
<v Speaker 10>banks that I cover were able to navigate that pretty well.

0:29:15.920 --> 0:29:18.160
<v Speaker 10>They're able to keep their net interest margins, which is

0:29:18.160 --> 0:29:22.600
<v Speaker 10>a key metric for profitability, fairly stable. And that's one

0:29:22.640 --> 0:29:24.600
<v Speaker 10>of the reasons why they've been able to do that

0:29:24.680 --> 0:29:27.920
<v Speaker 10>is they've been able to lower their deposit costs, which

0:29:28.160 --> 0:29:31.400
<v Speaker 10>was one of the things that really is a key

0:29:31.480 --> 0:29:36.000
<v Speaker 10>metric for banks to really show top line growth. On

0:29:36.120 --> 0:29:40.920
<v Speaker 10>top of that, lower interest rates could help loan growth.

0:29:41.280 --> 0:29:48.120
<v Speaker 10>You've seen some companies like Rockets Mortgage be very abuiliant

0:29:48.160 --> 0:29:51.160
<v Speaker 10>for lower interest rates, and so that could help improve

0:29:51.280 --> 0:29:54.000
<v Speaker 10>some of the demand for lending, and that's something that

0:29:54.040 --> 0:29:56.760
<v Speaker 10>we're seeing so far over the first half of the year.

0:29:57.000 --> 0:29:58.680
<v Speaker 3>So they'll make it up in volume what they lose

0:29:58.720 --> 0:30:00.000
<v Speaker 3>in profitability, they plan.

0:29:59.880 --> 0:30:02.680
<v Speaker 10>To we can make it in volume. You'll see some

0:30:02.840 --> 0:30:06.720
<v Speaker 10>dents in like the rates that they charge for loans,

0:30:06.800 --> 0:30:09.320
<v Speaker 10>but they'll also make it up in volume and lowering

0:30:09.360 --> 0:30:10.400
<v Speaker 10>their funding costs.

0:30:10.640 --> 0:30:12.800
<v Speaker 3>When you look at the landscape overall of M and

0:30:12.840 --> 0:30:14.680
<v Speaker 3>A in the banking sector, it feels like we've been

0:30:14.680 --> 0:30:16.800
<v Speaker 3>waiting for something to happen for a long time, and

0:30:16.880 --> 0:30:19.040
<v Speaker 3>maybe this is kind of the domino, the first domino

0:30:19.120 --> 0:30:22.440
<v Speaker 3>that falls. Yeah, well, the big banks and I'm here,

0:30:22.440 --> 0:30:24.440
<v Speaker 3>I'm talking about the JP Morgans, the Bank of America's,

0:30:24.440 --> 0:30:27.200
<v Speaker 3>Wells Fargo's. Will they play any role in this consolidation.

0:30:27.720 --> 0:30:33.800
<v Speaker 10>They're already too big, So there's that they are prohibited

0:30:34.040 --> 0:30:37.600
<v Speaker 10>from from doing such deals because they just have dominant

0:30:37.600 --> 0:30:40.360
<v Speaker 10>market share in their markets. One thing that we did

0:30:40.400 --> 0:30:43.440
<v Speaker 10>see during the height of the regional banking crisis a

0:30:43.480 --> 0:30:46.440
<v Speaker 10>couple of years back is that JP Morgan bought First

0:30:46.440 --> 0:30:50.800
<v Speaker 10>Republic in an FDIC failed bank acquisition. So if we

0:30:51.560 --> 0:30:54.880
<v Speaker 10>in the sense that if there we do get to

0:30:55.120 --> 0:30:58.240
<v Speaker 10>a place like that, that's when the big banks can play,

0:30:58.320 --> 0:31:01.680
<v Speaker 10>but in a straight man a type scenario.

0:31:01.360 --> 0:31:02.080
<v Speaker 3>To clean up messes.

0:31:02.120 --> 0:31:02.880
<v Speaker 2>They can clean They can.

0:31:02.920 --> 0:31:06.560
<v Speaker 10>Clean up messes, but they can't outworthy buy a bank

0:31:06.720 --> 0:31:08.320
<v Speaker 10>at this point, they're just way too big.

0:31:08.920 --> 0:31:11.840
<v Speaker 7>And just what about the consumer out there only shopping

0:31:11.840 --> 0:31:13.120
<v Speaker 7>for the best deal. You know, it used to be

0:31:13.160 --> 0:31:15.160
<v Speaker 7>that these smaller regional banks would be the place to

0:31:15.200 --> 0:31:17.680
<v Speaker 7>go for the better CD rates, right or a more

0:31:17.720 --> 0:31:20.960
<v Speaker 7>friendly friendly mortgage terms. Is that still the case?

0:31:21.280 --> 0:31:21.480
<v Speaker 8>Yeah?

0:31:21.560 --> 0:31:24.760
<v Speaker 10>Sure, So that's what really great about these markets that

0:31:25.080 --> 0:31:27.280
<v Speaker 10>P and C is going to where they can have

0:31:27.360 --> 0:31:31.560
<v Speaker 10>really dominant market share in Denver and Arizona, and just

0:31:31.640 --> 0:31:35.920
<v Speaker 10>having that marketing and having the branches really helps with

0:31:36.840 --> 0:31:40.080
<v Speaker 10>deposit taking and helping your consumer.

0:31:39.680 --> 0:31:43.040
<v Speaker 5>Out our Thanks to Herman Chan, Bloomberg Intelligence senior analysts

0:31:43.040 --> 0:31:44.160
<v Speaker 5>for US regional banks.

0:31:44.520 --> 0:31:46.960
<v Speaker 3>This week we focus on another Bloomberg Big Take story

0:31:47.080 --> 0:31:51.160
<v Speaker 3>entitled Tesla's dangerous store design can trap people inside. You

0:31:51.200 --> 0:31:53.520
<v Speaker 3>can find it on Bloomberg dot Com and The Terminal.

0:31:53.760 --> 0:31:56.080
<v Speaker 5>This story looks at how some of Tesla's design features,

0:31:56.120 --> 0:31:59.760
<v Speaker 5>like door handles are confusing occupants and first responders, and

0:31:59.800 --> 0:32:03.040
<v Speaker 5>this worsening injuries and damage caused by survivable crashes.

0:32:03.440 --> 0:32:05.880
<v Speaker 3>So for more on this guest host Alexis Christophers and

0:32:05.920 --> 0:32:08.960
<v Speaker 3>I were joined by Craig Tdrudell, Bloomberg Global Autos Editor.

0:32:09.240 --> 0:32:11.480
<v Speaker 3>We began by asking Craig to give us his main

0:32:11.480 --> 0:32:12.719
<v Speaker 3>takeaways from this story.

0:32:13.080 --> 0:32:15.320
<v Speaker 12>This is a company that you know from the from

0:32:15.360 --> 0:32:18.360
<v Speaker 12>the beginning, you've heard Musk talk about, you know, just

0:32:18.400 --> 0:32:21.280
<v Speaker 12>how safe his vehicles are, and you know, even just

0:32:21.400 --> 0:32:25.360
<v Speaker 12>very recently, the company has posted on X if you

0:32:25.480 --> 0:32:27.960
<v Speaker 12>love them, put them in a Tesla. That's the kind

0:32:27.960 --> 0:32:31.520
<v Speaker 12>of language that you see and hear from from Tesla

0:32:31.520 --> 0:32:35.200
<v Speaker 12>and from Musk. I think what happened here with the

0:32:35.240 --> 0:32:37.520
<v Speaker 12>doors is, you know, sort of from the beginning, an

0:32:37.560 --> 0:32:41.280
<v Speaker 12>attempt to kind of innovate what I think Tesla's critics

0:32:41.280 --> 0:32:44.720
<v Speaker 12>would say didn't need innovating. We didn't need to change

0:32:44.760 --> 0:32:47.960
<v Speaker 12>the way that you know, a door opens and closes.

0:32:48.040 --> 0:32:50.080
<v Speaker 12>It's it's intuitive. Everyone knows how to do it. You

0:32:50.120 --> 0:32:51.800
<v Speaker 12>sort of know how to do it when you're three

0:32:51.840 --> 0:32:56.200
<v Speaker 12>or four years old and you know the company wanted

0:32:56.240 --> 0:32:58.880
<v Speaker 12>to go to this, you know, new different sort of

0:32:58.880 --> 0:33:03.400
<v Speaker 12>path breaking approach of handles that would be flushed to

0:33:03.440 --> 0:33:07.360
<v Speaker 12>the to the doors for better aerodynamics. And and also

0:33:07.760 --> 0:33:10.360
<v Speaker 12>you know, if you think about a battery powered car,

0:33:10.760 --> 0:33:12.960
<v Speaker 12>it's it's very quiet, right, you don't have engine noise

0:33:13.000 --> 0:33:15.120
<v Speaker 12>to drown out any sort of you know, whistles or

0:33:15.120 --> 0:33:19.120
<v Speaker 12>anything like that. So the smoother the surfaces, the flatter everything,

0:33:19.520 --> 0:33:23.000
<v Speaker 12>the better in terms of not just aerodynamics, but also uh,

0:33:23.080 --> 0:33:26.600
<v Speaker 12>you know, this sort of getting rid of any any noise.

0:33:26.680 --> 0:33:30.440
<v Speaker 12>And so while while those all you know, are understandable

0:33:30.640 --> 0:33:34.360
<v Speaker 12>reasons to sort of make some design changes, what we

0:33:34.360 --> 0:33:36.880
<v Speaker 12>found in the course of reporting of this story is just,

0:33:37.000 --> 0:33:40.040
<v Speaker 12>you know, some sort of tragic consequences of those decisions

0:33:40.440 --> 0:33:42.760
<v Speaker 12>in terms of, you know, how difficult it is both

0:33:43.120 --> 0:33:45.440
<v Speaker 12>for you as an occupant to get out and also

0:33:45.520 --> 0:33:48.240
<v Speaker 12>for first responders to get to you, to open the

0:33:48.280 --> 0:33:51.960
<v Speaker 12>doors and get to you, and in situations where maybe

0:33:51.960 --> 0:33:55.840
<v Speaker 12>you're incapacitated or you're having trouble with the doors.

0:33:56.240 --> 0:33:58.920
<v Speaker 7>Yeah, I mean the stories that you highlight, Craig were

0:33:58.960 --> 0:34:03.200
<v Speaker 7>really popping and disturbing. I mean, one a little eighteen

0:34:03.240 --> 0:34:07.280
<v Speaker 7>month old girl was stuck in the car her parents

0:34:07.360 --> 0:34:09.560
<v Speaker 7>couldn't get her out, and that was one of the

0:34:09.560 --> 0:34:11.399
<v Speaker 7>better stories. It had a better ending. They were able

0:34:11.400 --> 0:34:13.200
<v Speaker 7>to get her out. I mean, I'm surprised that the

0:34:13.280 --> 0:34:17.600
<v Speaker 7>National Highway Traffic Safety Administration isn't really cracking down on Tesla.

0:34:17.719 --> 0:34:19.319
<v Speaker 7>What are they saying about all of this?

0:34:20.040 --> 0:34:22.600
<v Speaker 12>I think that was one of the more interesting, you know,

0:34:23.160 --> 0:34:26.600
<v Speaker 12>issues with this story is is that Nit's a you know,

0:34:27.040 --> 0:34:29.799
<v Speaker 12>a lot of complaints, a lot of safety concerns come

0:34:29.840 --> 0:34:34.120
<v Speaker 12>across their their proverbial desk, if you will, and at

0:34:34.160 --> 0:34:37.360
<v Speaker 12>times it will take all of a single complaint or

0:34:37.760 --> 0:34:43.040
<v Speaker 12>you know, a handful of owner surveys that that will

0:34:43.040 --> 0:34:46.480
<v Speaker 12>sort of get its attention and lead to communication with

0:34:46.600 --> 0:34:49.120
<v Speaker 12>manufacturers of hey, you need to take a look at this,

0:34:49.560 --> 0:34:52.680
<v Speaker 12>and sort of, you know, the agency will sort of

0:34:52.680 --> 0:34:55.319
<v Speaker 12>put its thumb on the scale in terms of, you know,

0:34:55.560 --> 0:34:59.799
<v Speaker 12>a potential recall. In the case of this story, what

0:35:00.080 --> 0:35:03.520
<v Speaker 12>NITSA told us is that they are in communication with

0:35:03.600 --> 0:35:07.840
<v Speaker 12>Tesla to gather additional data and determine whether a quote

0:35:07.880 --> 0:35:12.080
<v Speaker 12>full investigation unquote is warranted. That does allude to this

0:35:12.200 --> 0:35:16.360
<v Speaker 12>idea that there may be some sort of initial investigating

0:35:16.480 --> 0:35:19.520
<v Speaker 12>going on, but in terms of a formal probe that

0:35:19.880 --> 0:35:23.200
<v Speaker 12>has not been initiated at least as of yet.

0:35:24.200 --> 0:35:27.839
<v Speaker 3>Okay, so that's where the regulators stand. What's interesting to

0:35:27.880 --> 0:35:31.799
<v Speaker 3>me as well is that other ev makers have kind

0:35:31.840 --> 0:35:34.800
<v Speaker 3>of taken Tesla's design and copied it. They are also

0:35:34.880 --> 0:35:38.040
<v Speaker 3>doing the same thing. So this now goes beyond Tesla vehicles,

0:35:38.040 --> 0:35:38.440
<v Speaker 3>doesn't it.

0:35:39.200 --> 0:35:42.120
<v Speaker 12>Yeah. And I think what was interesting to us and

0:35:42.239 --> 0:35:44.560
<v Speaker 12>sort of you know, kind of trying to get a

0:35:44.600 --> 0:35:49.120
<v Speaker 12>sense for just how problematic this is for other manufacturers.

0:35:49.200 --> 0:35:51.239
<v Speaker 12>I think, you know, there was nothing that stood out

0:35:51.280 --> 0:35:55.960
<v Speaker 12>more for me was, you know, looking at JD Powers

0:35:56.719 --> 0:35:59.320
<v Speaker 12>study that they do every year. It's called the Initial

0:35:59.400 --> 0:36:03.560
<v Speaker 12>Qualities the IQs. You might be familiar from with you know,

0:36:03.680 --> 0:36:07.319
<v Speaker 12>car companies you know, put making this, you know, a

0:36:07.360 --> 0:36:10.480
<v Speaker 12>point of emphasis in their ads or their commercials when

0:36:10.520 --> 0:36:13.040
<v Speaker 12>they do well in that. In that study, and in

0:36:13.080 --> 0:36:16.240
<v Speaker 12>twenty twenty three, uh, they had a record high number

0:36:16.239 --> 0:36:20.680
<v Speaker 12>of problems per US vehicle in the US market and

0:36:21.000 --> 0:36:22.400
<v Speaker 12>one of the things that they pointed to as a

0:36:22.440 --> 0:36:26.279
<v Speaker 12>reason for this was was doors. And they kind of

0:36:26.320 --> 0:36:28.319
<v Speaker 12>poked fun a little bit at the industry that they

0:36:28.440 --> 0:36:31.120
<v Speaker 12>you know, researched by saying, this wasn't something that we

0:36:31.200 --> 0:36:33.320
<v Speaker 12>needed to change, you know it was working. We weren't

0:36:33.320 --> 0:36:36.520
<v Speaker 12>getting complaints from people that we survey for this study,

0:36:37.400 --> 0:36:40.279
<v Speaker 12>and you know, now this is a percolating problem area

0:36:40.440 --> 0:36:43.160
<v Speaker 12>was the phrasing that they used. And seven of the

0:36:43.200 --> 0:36:46.560
<v Speaker 12>ten most problematic models in this respect were EV. So

0:36:46.640 --> 0:36:49.440
<v Speaker 12>what we're seeing is a lot of sort of you know,

0:36:49.520 --> 0:36:52.600
<v Speaker 12>taking after Tesla in terms of door design. And for

0:36:52.640 --> 0:36:55.200
<v Speaker 12>the most part, what we're seeing is is sort of

0:36:55.200 --> 0:36:58.759
<v Speaker 12>you know, copycatting or taking after EV for EV right,

0:36:59.000 --> 0:37:02.080
<v Speaker 12>you know, trying to feel a model Wi Fighter that

0:37:02.160 --> 0:37:04.520
<v Speaker 12>also has you know, doors that are similar to the

0:37:04.560 --> 0:37:05.000
<v Speaker 12>model Y.

0:37:05.640 --> 0:37:08.000
<v Speaker 7>I'm wondering, I don't think your story got into the

0:37:08.120 --> 0:37:11.600
<v Speaker 7>story got into this, Craig, But what's the legal ramifications

0:37:11.600 --> 0:37:14.680
<v Speaker 7>here for for Tesla? You know, I would imagine the

0:37:14.760 --> 0:37:16.960
<v Speaker 7>lawsuits are piling up. I mean if certainly, if my

0:37:17.120 --> 0:37:19.600
<v Speaker 7>child was stuck in a Tesla and I couldn't get

0:37:19.680 --> 0:37:21.400
<v Speaker 7>him out, I might be suing Tesla.

0:37:21.640 --> 0:37:24.160
<v Speaker 12>We are aware of a handful of lawsuits and I

0:37:24.200 --> 0:37:27.480
<v Speaker 12>think you know, one of the complicating factors here is

0:37:27.480 --> 0:37:31.879
<v Speaker 12>is Tesla uh pushes its its customers into arbitration for

0:37:31.880 --> 0:37:34.600
<v Speaker 12>for these sorts of of suits that this is part

0:37:34.640 --> 0:37:36.640
<v Speaker 12>of the sort of purchase agreement when you buy it

0:37:36.760 --> 0:37:40.400
<v Speaker 12>a Tesla, that is something that you know, liigans are

0:37:40.400 --> 0:37:43.359
<v Speaker 12>going to have to sort of overcome because of that

0:37:43.680 --> 0:37:45.799
<v Speaker 12>sort of policy on the part of the company. I

0:37:45.800 --> 0:37:48.840
<v Speaker 12>think another sort of complicating factor here is that you know,

0:37:48.920 --> 0:37:53.200
<v Speaker 12>one of the uh you know, uh a couple that

0:37:53.200 --> 0:37:55.440
<v Speaker 12>that we speak with in the story, they had no

0:37:55.480 --> 0:37:59.200
<v Speaker 12>inclination to sue Tesla immediately after the crash. It took

0:37:59.400 --> 0:38:01.680
<v Speaker 12>one of the first responders coming to them after the

0:38:01.760 --> 0:38:04.799
<v Speaker 12>fact and saying, hey, we really had a hard time

0:38:04.840 --> 0:38:06.640
<v Speaker 12>getting to you, and it was because of your vehicle.

0:38:07.640 --> 0:38:10.480
<v Speaker 12>That is part of the issue here. You don't necessarily

0:38:10.560 --> 0:38:14.040
<v Speaker 12>know right off the bat, Hey something wasn't right here.

0:38:14.440 --> 0:38:17.160
<v Speaker 12>I need to do some investigating hard.

0:38:17.200 --> 0:38:19.880
<v Speaker 5>Thanks to Craig Trudell, Bloomberg Global Autos Editor.

0:38:20.120 --> 0:38:23.360
<v Speaker 3>That is this week's edition of Bloomberg Intelligence on Bloomberg Radio,

0:38:23.440 --> 0:38:26.480
<v Speaker 3>providing in depth research and data on two thousand companies

0:38:26.600 --> 0:38:28.080
<v Speaker 3>and one hundred and thirty industries.

0:38:28.200 --> 0:38:30.920
<v Speaker 5>And remember you can access Bloomberg Intelligence via Bigo on

0:38:31.040 --> 0:38:33.480
<v Speaker 5>the terminal. I'm normal Inda, and I'm Scarlet Foo.

0:38:33.600 --> 0:38:36.160
<v Speaker 3>Stay with us. Today's top stories and global business headlines

0:38:36.160 --> 0:38:37.160
<v Speaker 3>are coming up right now.