WEBVTT - BI Weekend: US Banks, Domino’s, LVMH Earnings 

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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 2>The uncertainty of terriffs.

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<v Speaker 3>Let's take a look at the sectors and how they performed.

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<v Speaker 2>A lot of investors getting whipsaled every day by 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, YouTube,

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<v Speaker 1>and Bloomberg Originals.

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<v Speaker 2>On today's Bloomberg Intelligence Show, we dig inside the big

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<v Speaker 2>business stories impacting Wall Street and the global markets.

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<v Speaker 3>Each and every week, we provide in depth research and

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<v Speaker 3>data on some of the two thousand companies and one

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<v Speaker 3>hundred and thirty industries that are analysts cover worldwide.

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<v Speaker 2>Today, we'll look at why Wall Street's Vegas Banks report

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<v Speaker 2>quarterly earnings that surpassed almost all analyst expectations.

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<v Speaker 3>Plus look at how the tech company Oracle will commit

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<v Speaker 3>to the widespread use of AMD chips.

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<v Speaker 2>But first, We begin with some big news in the

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<v Speaker 2>tech sector because.

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<v Speaker 3>This week the AI research and development company OpenAI signed

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<v Speaker 3>a multi year agreement with Broadcom. It is to collaborate

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<v Speaker 3>on custom chips and networking equipment.

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<v Speaker 2>The plan is to add ten gigawats worth of AI

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<v Speaker 2>data center capacity, with the companies beginning to deploy racks

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<v Speaker 2>of service containing the gear in twenty twenty six.

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<v Speaker 3>OpenAI will design the hardware and work with Broadcom to develop.

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<v Speaker 2>It for more. We were joined by mandeep Seeing Bloomberg Intelligence,

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<v Speaker 2>senior tech industry analyst. You first asked man Deep, first

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<v Speaker 2>take on the latest deal.

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<v Speaker 4>Look, OpenAI is going after heading as much compute capacity

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<v Speaker 4>as they can, and they did. First ten gigawatts with Nvidia,

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<v Speaker 4>six gigawatts with AMD, and now ten gigawats with Broadcom.

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<v Speaker 4>And the difference here is with Broadcom they get to

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<v Speaker 4>use their own chips. Nvidia and AMD are what we

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<v Speaker 4>call merchant silicon. I mean that's basically generalized chips where

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<v Speaker 4>you can deploy the workload you want, whether it's from

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<v Speaker 4>OpenAI or Microsoft or any other vendor. In the case

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<v Speaker 4>of custom silicon, which is what Broadcom does, a company

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<v Speaker 4>like open AI or Google. Google makes up almost you know,

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<v Speaker 4>fifty percent plus of Broadcom's AI revenue. So Google has

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<v Speaker 4>their chip called TPUs. They use it for everything run

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<v Speaker 4>on Google's platform, whether it's YouTube, whether it's AI, whether

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<v Speaker 4>it's cloud. Everything inside Google's run on their TPU. So

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<v Speaker 4>OpenAI's strategy here is to use an approach which is

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<v Speaker 4>similar to Google TPUs because it saves you a lot

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<v Speaker 4>of money. I mean, imagine, an Nvidia AI chip costs

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<v Speaker 4>you thirty grand. A custom silicon that Broadcom is making

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<v Speaker 4>for Google costs you six grand. That's the cost differential

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<v Speaker 4>we are talking about. And it's not because has to

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<v Speaker 4>spend thirty grand to make that chip. They have a

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<v Speaker 4>seventy five percent gross margin on the chip that they're

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<v Speaker 4>selling to the customer. So Nvidia's cost is also low,

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<v Speaker 4>but they mark up the price of their silicon. Same

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<v Speaker 4>thing with AMD. In the case of Google, they are

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<v Speaker 4>going directly to Broadcom to make that chip at a

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<v Speaker 4>far lower price, and it's for their own use, which

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<v Speaker 4>is why they don't have to pay the markup to

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<v Speaker 4>Nvideo or AMD. And that's why having your custom silicon

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<v Speaker 4>strategy is so good because it really saves you so

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<v Speaker 4>one gigaw with Nvidia silicon would cost you about forty

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<v Speaker 4>to fifty billion. One gigawat with a Broadcom open Ai

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<v Speaker 4>silicon would cost you twenty five to thirty billion. So

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<v Speaker 4>if you're talking about you know, thirty to forty percent

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<v Speaker 4>cost differential, and it's huge, I mean in the context

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<v Speaker 4>of what these guys are trying to do, you know,

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<v Speaker 4>scaled infrastructure.

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<v Speaker 3>In addition to that distinction, there's also no investment or

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<v Speaker 3>stock component to this open Ai Broadcom deal, which makes

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<v Speaker 3>it different from the deal that it struck with Nvidia

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<v Speaker 3>and AMD. So I guess my question is how would

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<v Speaker 3>open Ai finance the purchase or the chips in general?

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<v Speaker 4>That's a great question because right now they have to

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<v Speaker 4>do a lot of financing. It's one thing that's a

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<v Speaker 4>common thread in the Invidia transaction where even though Invidia

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<v Speaker 4>is putting ten billion dollars in open Ai, they still

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<v Speaker 4>have to find the remainder of the money. So if

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<v Speaker 4>you imagine, you know, forty to fifty billion dollars per gigawatt,

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<v Speaker 4>ten gigawatts costume around five hundred billion, Nvidia is only

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<v Speaker 4>investing up two hundred billions, so they still have to

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<v Speaker 4>figure out the remainder of four hundred billion in the

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<v Speaker 4>case of AMD, I mean, yes, they are getting some stock,

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<v Speaker 4>but you still have to figure out the financing for that,

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<v Speaker 4>you know, three hundred billion or so. Here, it's the

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<v Speaker 4>same thing. You need the money. And open eyes bet

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<v Speaker 4>is if we keep ramping up our revenue, that is

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<v Speaker 4>obviously a big source of the funding. We'll do a

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<v Speaker 4>lot of private deals because we already have the buy

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<v Speaker 4>in from these big player whether it's Nvidia or Microsoft

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<v Speaker 4>and other sovereign providers. And I think it's a lot

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<v Speaker 4>of scale game right now, because once we keep hitting

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<v Speaker 4>our milestones, we'll keep raising more money. And that's the

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<v Speaker 4>hope when it comes to open air.

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<v Speaker 2>One name I hadn't heard during all this dance between

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<v Speaker 2>all these tech companies is Apple. Yeah, what's going on there?

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<v Speaker 3>Glaring absence exactly.

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<v Speaker 4>I think that's the right way to frame it. And look,

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<v Speaker 4>at some point, I think they are going to go

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<v Speaker 4>the broadcom route. Out of the three partnerships that Openei

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<v Speaker 4>has had, a company like Apple will never go for

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<v Speaker 4>merchant silicon. I mean, look at what they have done

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<v Speaker 4>in their own devices. It's all custom silicon. And that's

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<v Speaker 4>where if I had to pick a strategy for Apple,

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<v Speaker 4>it will likely be custom Silicon using Broadcom or Marvel

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<v Speaker 4>or one of these asay providers. But the hard thing

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<v Speaker 4>for them is because they have missed out all the

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<v Speaker 4>action in the past last three years, it's so hard

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<v Speaker 4>to catch up. Even if you throw money and you

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<v Speaker 4>know your capex dollars, the time is off the essence,

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<v Speaker 4>and the longer they delay this, I feel either is

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<v Speaker 4>Broadcom or a partnership with Google now that antitrust is behind,

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<v Speaker 4>so they may very well adopt Google's LM across their

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<v Speaker 4>huge That will be huge, But I think you know,

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<v Speaker 4>with the regulatory overhand going away, that could be a

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<v Speaker 4>very likely strategy.

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<v Speaker 3>Apple has a ton of cash. It can't buy its

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<v Speaker 3>way to a solution.

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<v Speaker 2>Here, what do you buy?

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<v Speaker 4>I mean these are all scale players, a broad coom.

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<v Speaker 4>Maybe you could say Marvel is a smaller player, but

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<v Speaker 4>you need the best and chips. That's why everyone is

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<v Speaker 4>buying Nvidia because they have the highest performance per what.

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<v Speaker 4>So you can't really get a second or a third

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<v Speaker 4>player because then you compromise on the performance per what.

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<v Speaker 4>When the biggest constraint out there is power, so you

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<v Speaker 4>know you need the leading later and it comes to

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<v Speaker 4>the chip side of the equation.

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<v Speaker 3>Our thanks to Man Deep Saying, Bloomberg Intelligence senior tech

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<v Speaker 3>industry analysts.

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<v Speaker 2>We moved next to corporate earnings from the pizza chain Dominoes.

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<v Speaker 3>Dominoes reported better than expected third quarter earnings this week.

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<v Speaker 3>They were fueled by demand for promotions and the stuffed

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<v Speaker 3>crust pizza.

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<v Speaker 2>From where we were joined by Michael Haylen, Bloomberg Intelligence

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<v Speaker 2>Senior restaurant and food service analyst.

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<v Speaker 3>We began by asking Michael to break down the latest results.

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<v Speaker 2>It was a great quarter.

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<v Speaker 5>I mean five point two percent same star sales in

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<v Speaker 5>the US, and everyone knows quick service restaurants, you know,

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<v Speaker 5>have been struggling due to low income consumer weakness.

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<v Speaker 2>They did it with stuffed crust pizza.

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<v Speaker 5>They were the only major national pizza chain that did

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<v Speaker 5>not have stuff crust pizza. So they added that to

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<v Speaker 5>the repertoire and this year and that that's boosted sales value.

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<v Speaker 5>This quarter was the best deal ever nine ninety nine

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<v Speaker 5>for any pizza and no matter how many toppings you

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<v Speaker 5>want on it, right, So giving people a discount that

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<v Speaker 5>they really want on an item they really want, and

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<v Speaker 5>then you know DoorDash, George is the first quarter they

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<v Speaker 5>were fully rolled out on door Dash and that has

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<v Speaker 5>really helped them take a chunk of that third party

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<v Speaker 5>delivery aggregator business, boosting same source sales.

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<v Speaker 3>Okay, that all makes sense, but is that sustainable, especially

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<v Speaker 3>the promotions like nine ninety nine, which definitely sound appealing

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<v Speaker 3>in this day and age. I mean, these campaigns might

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<v Speaker 3>drive volume, but at some point don't they erode profitability?

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<v Speaker 6>Well?

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<v Speaker 5>I think you know what we saw was margins were flat,

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<v Speaker 5>you know, so to your point, you know, but what

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<v Speaker 5>Madgeman said and what they're right about is that you know,

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<v Speaker 5>you don't take margin to the bank, you take dollars

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<v Speaker 5>to the bank.

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<v Speaker 6>Right.

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<v Speaker 5>And so they did this nine ninety nine deal and

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<v Speaker 5>they actually ran it longer than expected because franchises were

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<v Speaker 5>making so much money off of it, right, And so yeah,

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<v Speaker 5>they're willing to sacrifice a little bit of margin expansion

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<v Speaker 5>here for that track because it's making franchisees happy and

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<v Speaker 5>that's the key when running, when being a franchise or so, yeah,

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<v Speaker 5>I think this is sustainable, right.

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<v Speaker 7>They are.

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<v Speaker 5>They have only a fraction of the third party delivery business, right,

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<v Speaker 5>but they have a third of the pizza market in

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<v Speaker 5>the US. So that's a huge slug of business that

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<v Speaker 5>we think is a great opportunity that's going to continue

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<v Speaker 5>to build over time. You know, Uber Eats, it took

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<v Speaker 5>them quite some time to build some momentum there. This

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<v Speaker 5>was just the first quarter of being fully rolled out

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<v Speaker 5>on door dash, So we think it's going to have

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<v Speaker 5>a big impact over the next three quarters. But it

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<v Speaker 5>sounds like it can continue to build stuff Cruss Pizza, right,

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<v Speaker 5>this is something that's a permanent menu item. This is

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<v Speaker 5>not something that is you know, just a limited time

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<v Speaker 5>offer that's going to be run for a few weeks, right.

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<v Speaker 5>And then value, they have a bunch of different value

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<v Speaker 5>things they do these boost weeks, and they have a

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<v Speaker 5>tip promotion and so they run different value at different times.

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<v Speaker 5>But what they've done has been able to like, you know,

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<v Speaker 5>create a name for themselves and are owning certain type

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<v Speaker 5>of discounts that they run throughout the year. And so

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<v Speaker 5>I think that is important for national pizza players. It's

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<v Speaker 5>it's a business that's heavily weighted towards low income consumers,

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<v Speaker 5>and you know, to my point earlier, they're struggling right now.

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<v Speaker 2>So Mike, explain the economics or explain the strategy of

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<v Speaker 2>using these third party delivery of folks like Uber Eats

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<v Speaker 2>or door dash. What changed for Dominoes, for example? Why

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<v Speaker 2>would they not use them but then make the decision

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<v Speaker 2>to use them.

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<v Speaker 5>Yeah, great question. So you know, at first it was

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<v Speaker 5>really about the cost, right, And you know years ago

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<v Speaker 5>third party delivery companies were charging thirty percent plus Dominos

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<v Speaker 5>number one, they waited till the prices came down. Also,

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<v Speaker 5>their business is really just using the marketplace. They're still

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<v Speaker 5>using their own delivery drivers, right, and so they're able

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<v Speaker 5>to use door dash on for their marketplace and play

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<v Speaker 5>a much much lower vig to the company for the listing, right.

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<v Speaker 5>And so they were the last of all the major

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<v Speaker 5>pizza players and QSR names. They were the final holdout.

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<v Speaker 5>A big part of it was they were just so

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<v Speaker 5>big in delivery and they didn't want to cannibalize the

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<v Speaker 5>margin on that business. But what we're seeing is it

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<v Speaker 5>really dry transactions. This quarter, we saw positive same store

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<v Speaker 5>sales growth with carry out as well as delivery. They

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<v Speaker 5>saw same store sales growth with every income cohort. It

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<v Speaker 5>was a very strong quarter across the board.

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<v Speaker 3>You can count on people to not want to get

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<v Speaker 3>off their couch and always order in, and that's guaranteed

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<v Speaker 3>money made.

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<v Speaker 2>The only offspring that's still on my dole is my

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<v Speaker 2>last guy. He's in college, and he knows he has

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<v Speaker 2>to call me, text me. Does he to get pre

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<v Speaker 2>approval to use any third party deliveries because I hate

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<v Speaker 2>that cost?

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<v Speaker 3>Yeah, I mean, well as Gen xers and older, you know,

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<v Speaker 3>the thought of paying out extra for someone to deliver

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<v Speaker 3>food too is just so.

0:11:58.440 --> 0:11:59.880
<v Speaker 2>I haven't heard from him in like six months.

0:12:00.200 --> 0:12:05.560
<v Speaker 3>That's good progress. So, Michael, is Domino's attracting higher income

0:12:05.600 --> 0:12:08.480
<v Speaker 3>consumers who are perhaps trading down and looking for those

0:12:08.520 --> 0:12:11.120
<v Speaker 3>deals like the nine ninety nine pizza, and I wonder

0:12:11.679 --> 0:12:14.040
<v Speaker 3>how much more market share they can pick up that way.

0:12:15.280 --> 0:12:17.520
<v Speaker 5>Well, same store sales, to your point, did grow with

0:12:17.640 --> 0:12:21.160
<v Speaker 5>higher income consumers. They didn't talk about whether that's a

0:12:21.280 --> 0:12:26.040
<v Speaker 5>trade down naturally, though. You will see that from increasing

0:12:26.120 --> 0:12:29.839
<v Speaker 5>your third party delivery sales, right because those customers tend

0:12:29.920 --> 0:12:32.760
<v Speaker 5>to skew younger and skew more affluent.

0:12:32.880 --> 0:12:34.880
<v Speaker 2>So we do know that's kind of card.

0:12:35.559 --> 0:12:36.840
<v Speaker 5>Yeah, yeah, exactly.

0:12:37.440 --> 0:12:40.319
<v Speaker 2>Thanks to Michael Halen Bloomerg Intelligence Senior restaurant and food

0:12:40.320 --> 0:12:41.160
<v Speaker 2>service analysts.

0:12:41.320 --> 0:12:44.000
<v Speaker 3>Coming up look at how the luxury goods maker LVMH

0:12:44.160 --> 0:12:46.439
<v Speaker 3>unexpectedly returned to sales growth last quarter.

0:12:46.679 --> 0:12:49.319
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:12:49.360 --> 0:12:51.520
<v Speaker 2>depth research and data on two thousand companies and one

0:12:51.559 --> 0:12:52.640
<v Speaker 2>hundred and thirty industries.

0:12:52.960 --> 0:12:56.079
<v Speaker 3>You can access Bloomberg Intelligence via bi go on the terminal.

0:12:56.160 --> 0:12:57.240
<v Speaker 3>I'm Scarlet Foom.

0:12:57.040 --> 0:12:57.959
<v Speaker 2>And I'm Paul Sweeney.

0:12:58.040 --> 0:12:59.120
<v Speaker 8>This is Bloomberg.

0:13:03.800 --> 0:13:08.319
<v Speaker 1>This is Bloomberg Intelligence with Scarlett Foo and Paul Sweeney

0:13:08.640 --> 0:13:09.960
<v Speaker 1>on Bloomberg Radio.

0:13:10.800 --> 0:13:12.520
<v Speaker 2>Return next to US bank earnings.

0:13:12.679 --> 0:13:15.319
<v Speaker 3>This week, Wall Street's biggest banks reported third quarter earnings

0:13:15.320 --> 0:13:17.520
<v Speaker 3>that surpassed almost all analyst estimates.

0:13:17.720 --> 0:13:20.360
<v Speaker 2>They included Goldman Sachs, Bank of America, Morgan Stanley, JP,

0:13:20.440 --> 0:13:24.000
<v Speaker 2>Morgan Chase, and Wills Fargo. The results were driven by deals, investment, banking,

0:13:24.040 --> 0:13:25.040
<v Speaker 2>and market volatility.

0:13:25.120 --> 0:13:27.440
<v Speaker 3>For a closer look at Bank of America and Morgan Stanley,

0:13:27.480 --> 0:13:30.680
<v Speaker 3>we were joined by Alison Williams, Bloomberg Intelligence, senior analysts

0:13:30.679 --> 0:13:32.200
<v Speaker 3>for global banks and asset managers.

0:13:32.320 --> 0:13:35.559
<v Speaker 2>First asked Alison what she made of Morgan Stanley's quarterly results.

0:13:36.120 --> 0:13:39.120
<v Speaker 8>Obviously, it's a strong environment for equities, especially the third

0:13:39.160 --> 0:13:43.200
<v Speaker 8>quarter was a very strong environment. We hit records multiple times,

0:13:43.240 --> 0:13:46.040
<v Speaker 8>including in the end of September. We had new records

0:13:46.080 --> 0:13:50.360
<v Speaker 8>earlier this quarter. But you know, as we know, when

0:13:50.440 --> 0:13:52.880
<v Speaker 8>you manage a team, when you have that strong environment,

0:13:52.920 --> 0:13:54.800
<v Speaker 8>you want people that are going to take advantage of it.

0:13:54.880 --> 0:14:00.120
<v Speaker 8>And I mean equities trading really jumping. We saw we

0:14:00.120 --> 0:14:03.840
<v Speaker 8>saw strong growth actually at JP Morgan and Morgan Stanley.

0:14:03.920 --> 0:14:07.600
<v Speaker 8>Goldman trailing a bit so, raising maybe some questions about

0:14:07.600 --> 0:14:10.760
<v Speaker 8>what happened there, but also equity fees Morgan Stanley doing well.

0:14:10.800 --> 0:14:11.760
<v Speaker 2>And then the wealth.

0:14:11.520 --> 0:14:15.040
<v Speaker 8>Business, I mean that's really the focus for investors. Those

0:14:15.080 --> 0:14:16.520
<v Speaker 8>flows really strong.

0:14:17.240 --> 0:14:19.560
<v Speaker 3>Yeah, wealth management net revenue of eight point two to

0:14:19.600 --> 0:14:22.560
<v Speaker 3>three billion, it was estimated to increase seven percent to

0:14:22.600 --> 0:14:24.600
<v Speaker 3>seven point seven to eight billion, So that was a big,

0:14:24.640 --> 0:14:26.440
<v Speaker 3>big beat. And this is the part of the business

0:14:26.440 --> 0:14:30.280
<v Speaker 3>that Morgan Stanley has really been focused on to kind

0:14:30.280 --> 0:14:32.600
<v Speaker 3>of separate it from Goldman Sex because this is the

0:14:32.640 --> 0:14:36.520
<v Speaker 3>steady eddy business where it's fee generated, it's recurring, you're

0:14:36.560 --> 0:14:41.000
<v Speaker 3>not dictated by the whims of the market and volatility

0:14:41.080 --> 0:14:42.960
<v Speaker 3>and anything that could happen in any quarter.

0:14:43.040 --> 0:14:43.240
<v Speaker 6>Right.

0:14:43.520 --> 0:14:46.880
<v Speaker 8>So, yeah, So to your point, that wealth and asset

0:14:46.880 --> 0:14:49.840
<v Speaker 8>management tends to be more favored by investors because it

0:14:49.840 --> 0:14:52.280
<v Speaker 8>does tend to be more of a recurring revenue model.

0:14:52.400 --> 0:14:55.240
<v Speaker 8>You know, obviously if the market goes down twenty percent

0:14:55.360 --> 0:14:58.160
<v Speaker 8>or up twenty percent, that has an impact on fees,

0:14:58.560 --> 0:15:02.960
<v Speaker 8>but it's not parable to something like the underwriting or

0:15:03.000 --> 0:15:06.800
<v Speaker 8>the pure transactional business. Recall the pandemic when things completely

0:15:06.840 --> 0:15:10.880
<v Speaker 8>shut down. I mean, granted they recovered, but the fact

0:15:10.920 --> 0:15:15.320
<v Speaker 8>of the matter is like it's less volatility, more recurring revenue.

0:15:15.920 --> 0:15:20.480
<v Speaker 8>Investors like that fee income and they like sort of

0:15:20.480 --> 0:15:23.720
<v Speaker 8>the relative stability of that business.

0:15:24.080 --> 0:15:26.480
<v Speaker 3>So one thing that really jumped out at me, Allison,

0:15:26.520 --> 0:15:28.360
<v Speaker 3>when I was looking at the earnings is the fact

0:15:28.360 --> 0:15:32.520
<v Speaker 3>that all the bank's provision for credit losses Japan, Morgan

0:15:32.600 --> 0:15:35.160
<v Speaker 3>set aside more than what analysts thought it would set aside.

0:15:35.200 --> 0:15:38.840
<v Speaker 3>Golden Sacks set aside less. Morgan Stanley was estimated to

0:15:38.920 --> 0:15:41.200
<v Speaker 3>have set aside ninety seven million. It ended up setting

0:15:41.240 --> 0:15:44.840
<v Speaker 3>aside zero zero for bad losses bad loan losses. What

0:15:44.880 --> 0:15:46.320
<v Speaker 3>does that say they did?

0:15:46.360 --> 0:15:48.800
<v Speaker 8>And I mean for Morgan Stanley, lending is such a

0:15:48.800 --> 0:15:51.920
<v Speaker 8>small part of their business. It's the least out of

0:15:51.960 --> 0:15:53.440
<v Speaker 8>all the banks, So if you're going to see zero,

0:15:53.520 --> 0:15:56.640
<v Speaker 8>you would see it there. But the one question we

0:15:56.720 --> 0:15:58.640
<v Speaker 8>do have, which I think will become clear as we

0:15:58.680 --> 0:16:01.680
<v Speaker 8>see many of the other bank report is you know,

0:16:01.800 --> 0:16:04.280
<v Speaker 8>we're seeing a very strong consumer at these big banks,

0:16:04.680 --> 0:16:07.920
<v Speaker 8>but is there differentiation in terms of the high end

0:16:07.960 --> 0:16:11.440
<v Speaker 8>consumer or lower income consumer? A lot of these banks,

0:16:11.440 --> 0:16:14.280
<v Speaker 8>you know, the focus really is on the higher end consumer.

0:16:14.840 --> 0:16:18.360
<v Speaker 8>JP Morgan. They're despite a lot of the headline figure

0:16:18.560 --> 0:16:21.720
<v Speaker 8>or headlines that came out from Jamie's comments. We look

0:16:21.760 --> 0:16:24.560
<v Speaker 8>at the credit card business and the credit trends in

0:16:24.600 --> 0:16:28.080
<v Speaker 8>that business super strong. Their charge off rate, they actually

0:16:28.160 --> 0:16:32.440
<v Speaker 8>guided it down because they had to because the delinquencies

0:16:32.440 --> 0:16:35.000
<v Speaker 8>are coming in, you know, so much lower. We know

0:16:35.040 --> 0:16:37.920
<v Speaker 8>that JP Morgan really focuses on that Sapphire card, that

0:16:38.000 --> 0:16:41.600
<v Speaker 8>high end card. So they are seeing a strong consumer.

0:16:42.120 --> 0:16:45.120
<v Speaker 8>But will we see something different when we see some

0:16:45.160 --> 0:16:47.160
<v Speaker 8>of the other card companies report.

0:16:47.360 --> 0:16:48.840
<v Speaker 2>You know, when you think about it, the drivers of

0:16:48.880 --> 0:16:52.800
<v Speaker 2>the investment banking business are pretty darn simple. Listen to

0:16:52.960 --> 0:16:56.240
<v Speaker 2>chief executive chief financial Officer Alistair Borthwick. Here's what he

0:16:56.240 --> 0:16:59.120
<v Speaker 2>told analyst on Wednesday. Quote, we've seen more certainty now

0:16:59.160 --> 0:17:02.120
<v Speaker 2>around trade and tear and around taxes as well. It's

0:17:02.160 --> 0:17:05.680
<v Speaker 2>a louder client base to make longer term decisions. That's

0:17:05.720 --> 0:17:08.960
<v Speaker 2>reflected in our investment banking activity. Yeah, it's as simple

0:17:09.000 --> 0:17:12.000
<v Speaker 2>as that, but again it's hard to predict kind of

0:17:12.000 --> 0:17:14.120
<v Speaker 2>what those macro trends are going to be. Switching gears

0:17:14.200 --> 0:17:17.600
<v Speaker 2>to the Bank of America, their bankers did really well,

0:17:18.240 --> 0:17:20.080
<v Speaker 2>not that that's a surprise, but they put us a

0:17:20.119 --> 0:17:20.879
<v Speaker 2>big growth.

0:17:20.640 --> 0:17:23.120
<v Speaker 8>Rate, they did, and you know, to your point, Paul,

0:17:23.200 --> 0:17:26.280
<v Speaker 8>I mean, you've been in this business, right, so the

0:17:26.720 --> 0:17:30.560
<v Speaker 8>having clarity is generally helpful for the investment banking business.

0:17:30.880 --> 0:17:33.800
<v Speaker 8>That's why we did see sort of a fall off midyear.

0:17:34.200 --> 0:17:37.480
<v Speaker 8>But what we've heard from the banks and their bankers

0:17:37.640 --> 0:17:41.000
<v Speaker 8>is that, look, clients are beginning to accept that there

0:17:41.080 --> 0:17:43.119
<v Speaker 8>is some level of uncertainty they'll have to deal with.

0:17:43.200 --> 0:17:46.560
<v Speaker 8>It's not going away necessarily anytime soon. So if you

0:17:46.760 --> 0:17:49.880
<v Speaker 8>need to come to market now, it's probably a good time.

0:17:49.920 --> 0:17:53.520
<v Speaker 8>And by the way, record equity prices fed cutting rates,

0:17:54.040 --> 0:17:56.399
<v Speaker 8>you know, those are also helpful and bringing some of

0:17:56.400 --> 0:17:58.600
<v Speaker 8>those deals to market. Bank of America, by the way,

0:18:00.040 --> 0:18:03.480
<v Speaker 8>talking about their backlog up very strongly for the fourth quarter.

0:18:03.600 --> 0:18:08.200
<v Speaker 8>So this momentum into this next quarter is likely to

0:18:08.240 --> 0:18:10.800
<v Speaker 8>show up again in the in the fourth quarter results.

0:18:11.000 --> 0:18:13.560
<v Speaker 3>So for Bank of America, it feels like investors were

0:18:13.680 --> 0:18:17.879
<v Speaker 3>singularly focused on the net interest income number because it

0:18:17.960 --> 0:18:20.360
<v Speaker 3>had not done so well just a year ago, and

0:18:20.520 --> 0:18:23.160
<v Speaker 3>Bank of America was really focused on improving that. This

0:18:23.280 --> 0:18:25.959
<v Speaker 3>was a big beat on the NII number here and

0:18:26.000 --> 0:18:28.920
<v Speaker 3>they actually guided higher for the fourth quarter. The bank

0:18:29.000 --> 0:18:31.280
<v Speaker 3>is going to hold its first investor day I think

0:18:31.320 --> 0:18:34.479
<v Speaker 3>since twenty eleven next month. How does this set up

0:18:34.480 --> 0:18:36.160
<v Speaker 3>Bank of America for this investor day?

0:18:36.520 --> 0:18:38.439
<v Speaker 8>So I think they are set up well for the

0:18:38.480 --> 0:18:40.879
<v Speaker 8>investor day. And keep in mind investor Day will be

0:18:40.920 --> 0:18:43.400
<v Speaker 8>focused I think on the long term trends. We have

0:18:43.840 --> 0:18:48.400
<v Speaker 8>gotten some management changes, some announcements related to succession planning,

0:18:48.440 --> 0:18:51.000
<v Speaker 8>and I think, you know, Brian moynihan has done a

0:18:51.040 --> 0:18:53.720
<v Speaker 8>great job with the bank. I think the investor day

0:18:53.760 --> 0:18:55.640
<v Speaker 8>is really going to be focused on, you know, what

0:18:55.760 --> 0:19:00.280
<v Speaker 8>is the look forward? And AI is something that we've

0:19:00.280 --> 0:19:02.440
<v Speaker 8>heard a little bit about Bank of America talking about

0:19:02.480 --> 0:19:05.800
<v Speaker 8>that this quarter, Goldman Sachs bringing out their three point

0:19:05.840 --> 0:19:08.879
<v Speaker 8>zero program. Morgan Stanley actually had been talking about that

0:19:08.920 --> 0:19:12.320
<v Speaker 8>with their cuts last year. How is AI going to

0:19:12.359 --> 0:19:17.199
<v Speaker 8>contribute to the structural profitability of Bank of America? You know,

0:19:17.320 --> 0:19:22.640
<v Speaker 8>so cyclical, some very strong trends' quarter structural they've done

0:19:22.640 --> 0:19:25.320
<v Speaker 8>a good job, but what is next for the bank?

0:19:25.600 --> 0:19:27.919
<v Speaker 2>I mean, I just forgot how big Bank of America is,

0:19:27.920 --> 0:19:30.679
<v Speaker 2>and they meet They grew through so many acquisitions, two

0:19:30.800 --> 0:19:33.840
<v Speaker 2>hundred and thirteen thousand employees. It's got a market cap

0:19:33.880 --> 0:19:38.040
<v Speaker 2>of almost four hundred billion dollars. They seem like they've

0:19:38.040 --> 0:19:39.640
<v Speaker 2>got the right mix of assets at this point.

0:19:40.480 --> 0:19:44.280
<v Speaker 8>Yeah, So to your point, they did grow a lot

0:19:44.359 --> 0:19:47.639
<v Speaker 8>through acquisitions under prior managements. And I think you know

0:19:47.800 --> 0:19:50.760
<v Speaker 8>what Brian oinnihan has come in and said was they're

0:19:50.760 --> 0:19:54.159
<v Speaker 8>really going to focus on organic growth. They focused on

0:19:54.160 --> 0:19:58.320
<v Speaker 8>this strategy responsible lending. There's some noise around that when

0:19:58.320 --> 0:20:00.439
<v Speaker 8>times are good, right because everyone said, well, are you

0:20:00.480 --> 0:20:03.920
<v Speaker 8>being too conservative? But then when times are bad, that

0:20:04.080 --> 0:20:06.560
<v Speaker 8>is really helpful to managing the downside. And that's one

0:20:06.600 --> 0:20:09.640
<v Speaker 8>of the things that I think can give investors come

0:20:09.680 --> 0:20:13.680
<v Speaker 8>for as we worry about recession risks in the coming quarters.

0:20:14.240 --> 0:20:17.399
<v Speaker 3>Our thanks to Alison Williams, Bloomberg Intelligence, Senior Analyst for

0:20:17.480 --> 0:20:19.080
<v Speaker 3>Global Banks and Asset managers.

0:20:19.119 --> 0:20:22.240
<v Speaker 2>We move next to earnings from the luxury goods maker LBMH.

0:20:22.400 --> 0:20:25.399
<v Speaker 3>This week, LVMH reported third quarter earnings that beat analyst

0:20:25.480 --> 0:20:29.160
<v Speaker 3>estimates in all five business units after two quarters of declines.

0:20:29.400 --> 0:20:32.000
<v Speaker 3>The rise of revenue and China sales also suggest that

0:20:32.000 --> 0:20:34.240
<v Speaker 3>the slump and luxury demand might be easy.

0:20:34.520 --> 0:20:36.120
<v Speaker 2>For more on this, we were joined by Deb Aik

0:20:36.200 --> 0:20:38.360
<v Speaker 2>and Bloomberg Intelligence luxury goods analyst.

0:20:38.640 --> 0:20:41.320
<v Speaker 3>We began by asking Deb for her take on LVMH's

0:20:41.359 --> 0:20:44.400
<v Speaker 3>results and whether it signals that luxury is back.

0:20:44.720 --> 0:20:49.560
<v Speaker 9>Really a very big sentiment indicator. The comments from the

0:20:49.720 --> 0:20:54.600
<v Speaker 9>company were more positive than the market anticipated. When we

0:20:54.640 --> 0:20:57.680
<v Speaker 9>look at the numbers in terms of the organic sales growth,

0:20:57.680 --> 0:21:01.480
<v Speaker 9>the market expected around minus one minute plus one. But

0:21:01.600 --> 0:21:05.119
<v Speaker 9>it's about the sequential improvement from Q two to Q

0:21:05.240 --> 0:21:08.720
<v Speaker 9>three and the fact that all five of the business

0:21:08.800 --> 0:21:12.760
<v Speaker 9>units are improved versus Q two, and more than that,

0:21:13.040 --> 0:21:16.320
<v Speaker 9>China is mid to high single digit growth versus a

0:21:16.400 --> 0:21:20.399
<v Speaker 9>year ago. The US is robust, Europe is doing the

0:21:20.480 --> 0:21:23.760
<v Speaker 9>same as it did across the board, doing okay but

0:21:23.880 --> 0:21:27.200
<v Speaker 9>missing out on tourism and Asia. Extra Pan is positive.

0:21:27.760 --> 0:21:31.240
<v Speaker 9>We know four q US will face a bit more

0:21:31.240 --> 0:21:33.760
<v Speaker 9>of a difficult comp after the spent in last year

0:21:34.640 --> 0:21:38.240
<v Speaker 9>beyond the election and the Trump win. But into the

0:21:38.280 --> 0:21:40.920
<v Speaker 9>first half of twenty twenty six, the market is looking

0:21:40.920 --> 0:21:43.840
<v Speaker 9>more positive and it's certainly rallied the whole of the sector.

0:21:43.920 --> 0:21:46.120
<v Speaker 9>This morning and this afternoon.

0:21:46.040 --> 0:21:49.800
<v Speaker 2>Hey, dev, what's the correlation between luxury spending and just

0:21:49.880 --> 0:21:53.040
<v Speaker 2>kind of the broader stock market around the world, Because

0:21:53.200 --> 0:21:56.200
<v Speaker 2>markets are really performing well, how does that correlate to

0:21:56.240 --> 0:21:57.320
<v Speaker 2>just luxury spending.

0:21:57.920 --> 0:22:01.159
<v Speaker 9>The big thing on luxury spend has been that the

0:22:01.320 --> 0:22:06.680
<v Speaker 9>very high end has done well, so Airmyre's Brunellokucinelli, where

0:22:06.720 --> 0:22:11.520
<v Speaker 9>they work with a restricted volume operating model, They've done

0:22:11.520 --> 0:22:14.520
<v Speaker 9>well in terms of their top line growth. But when

0:22:14.560 --> 0:22:18.240
<v Speaker 9>I think about an LVMH, you know they're given how

0:22:18.240 --> 0:22:21.000
<v Speaker 9>big they are, they need a big volume there, even

0:22:21.000 --> 0:22:24.480
<v Speaker 9>with some price in to manage growth in this category.

0:22:24.600 --> 0:22:28.080
<v Speaker 9>And instead, what we saw last year and the beginning

0:22:28.080 --> 0:22:30.720
<v Speaker 9>of this year was maybe a little bit of trading down.

0:22:30.800 --> 0:22:35.720
<v Speaker 9>So brands like Tapestry's Coach Ralph Lauren they became really

0:22:35.760 --> 0:22:38.200
<v Speaker 9>so popular, not only in the US, but more on

0:22:38.240 --> 0:22:41.960
<v Speaker 9>a globalized basis too. And so the view has been

0:22:42.040 --> 0:22:45.960
<v Speaker 9>that the sentiment around the share prices has very much

0:22:46.000 --> 0:22:50.040
<v Speaker 9>been opposed and opposite to what's been happening on the

0:22:50.080 --> 0:22:53.399
<v Speaker 9>stock market, but with the exception of the mid range,

0:22:54.119 --> 0:22:56.280
<v Speaker 9>and the mid range have done better because the view

0:22:56.400 --> 0:23:02.640
<v Speaker 9>in the investor mindset has been the luxury buyer will

0:23:02.640 --> 0:23:05.359
<v Speaker 9>trade down. They've done that in some brands, but not

0:23:05.480 --> 0:23:08.680
<v Speaker 9>all brands, in some categories, not all categories, and generally

0:23:08.720 --> 0:23:11.679
<v Speaker 9>we expect the biggest and the best to come back first.

0:23:12.240 --> 0:23:15.760
<v Speaker 3>What about LVMH's wines and spirits division. We've been hearing

0:23:15.800 --> 0:23:19.840
<v Speaker 3>from Constellation brands and other spirits companies that you know,

0:23:19.880 --> 0:23:23.960
<v Speaker 3>there's been this massive shift in consumer tastes away from alcohol,

0:23:24.040 --> 0:23:27.000
<v Speaker 3>certainly the younger generation. Does that affect a company like LVMH.

0:23:27.680 --> 0:23:31.120
<v Speaker 9>So a different kind of thing with LVMH. I think

0:23:31.160 --> 0:23:34.160
<v Speaker 9>at the very high end we had some US weakness,

0:23:34.240 --> 0:23:40.680
<v Speaker 9>so they operate in wines, fine wines, high end champagnes, cognacs,

0:23:40.720 --> 0:23:44.600
<v Speaker 9>and others. Champagne is doing well and is back to

0:23:44.640 --> 0:23:49.119
<v Speaker 9>growth in the US. Rose Wine is doing very very well,

0:23:49.640 --> 0:23:53.480
<v Speaker 9>but some of the spirit side is still struggling a

0:23:53.520 --> 0:23:56.960
<v Speaker 9>little bit, and I think that's because we've seen some

0:23:57.119 --> 0:24:01.800
<v Speaker 9>trading down. So we had China very heavily and the

0:24:01.960 --> 0:24:04.560
<v Speaker 9>US not so solid through the first half the year,

0:24:04.600 --> 0:24:06.879
<v Speaker 9>but there are signs of that coming back. If I

0:24:06.920 --> 0:24:09.119
<v Speaker 9>look at the numbers on the Q three for wines

0:24:09.160 --> 0:24:11.880
<v Speaker 9>and spirits, they're at plus one and they were at

0:24:11.920 --> 0:24:14.720
<v Speaker 9>minus four for Q two and minus nine for Q one,

0:24:15.280 --> 0:24:18.560
<v Speaker 9>So it seems as though inventory is leveled out and

0:24:18.600 --> 0:24:20.560
<v Speaker 9>we're starting to see some selling.

0:24:21.320 --> 0:24:24.400
<v Speaker 2>Deba I learned from you long ago, and looking at luxury,

0:24:24.400 --> 0:24:26.119
<v Speaker 2>you have to also pay attention to what's happening in

0:24:26.200 --> 0:24:29.680
<v Speaker 2>China and the Chinese consumer. Are the Chinese spending either

0:24:30.440 --> 0:24:33.480
<v Speaker 2>in China or are they traveling to the London Parish,

0:24:33.560 --> 0:24:35.680
<v Speaker 2>New York Milan type thing? What are you seeing?

0:24:37.240 --> 0:24:40.200
<v Speaker 9>Yeah, we're still seeing a lot of the spend. We're

0:24:40.240 --> 0:24:42.960
<v Speaker 9>getting mid high single digit growth in that Q three

0:24:43.000 --> 0:24:48.119
<v Speaker 9>from alviw Majia onny is on localized spending. We are

0:24:48.160 --> 0:24:52.200
<v Speaker 9>seeing pockets of growth on the tourism side. So there

0:24:52.240 --> 0:24:55.720
<v Speaker 9>is a more positive view and mixed linked into the

0:24:55.920 --> 0:25:00.000
<v Speaker 9>commentary from these results, but overall we are still absolutely

0:25:00.119 --> 0:25:06.159
<v Speaker 9>the missing Asian tourist, Chinese tourists from Europe, and also

0:25:06.359 --> 0:25:09.359
<v Speaker 9>in Europe, we're missing the strength of the dollar having

0:25:09.440 --> 0:25:13.720
<v Speaker 9>swung over last year with US purchases here and you're

0:25:13.880 --> 0:25:16.359
<v Speaker 9>you are seeing in some but not as many in

0:25:16.480 --> 0:25:19.760
<v Speaker 9>terms of full recovery versus twenty nineteen. There's growth year

0:25:19.840 --> 0:25:23.359
<v Speaker 9>on year, but not versus twenty nineteen into the USI.

0:25:23.359 --> 0:25:26.280
<v Speaker 9>But when it comes to the Chinese tourist, we used

0:25:26.280 --> 0:25:30.280
<v Speaker 9>to say a third of luxury goods just over we're

0:25:30.320 --> 0:25:33.560
<v Speaker 9>on the we're from the Chinese cohort, and that would

0:25:33.600 --> 0:25:37.160
<v Speaker 9>include on land and traveling right, and we still think

0:25:37.200 --> 0:25:40.440
<v Speaker 9>there's a way for that to go, but certainly on

0:25:40.680 --> 0:25:43.000
<v Speaker 9>land and locally they're doing better than they were.

0:25:43.440 --> 0:25:46.960
<v Speaker 2>Oh thanks to deb Aik and Bloomberg Intelligence, Luxury Goods analyst.

0:25:46.800 --> 0:25:49.680
<v Speaker 3>Coming up, look at why the global snacking company Kelenova

0:25:49.760 --> 0:25:52.040
<v Speaker 3>is adding a jolt of protein to its big as snack.

0:25:52.359 --> 0:25:55.080
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:55.320 --> 0:25:57.680
<v Speaker 2>research and data on two thousand companies and one hundred

0:25:57.680 --> 0:25:58.400
<v Speaker 2>and thirty industries.

0:25:58.480 --> 0:26:01.920
<v Speaker 3>You can access Bloomberg Intelligence Big on the terminal. I'm

0:26:01.960 --> 0:26:02.880
<v Speaker 3>Scarlet Foo.

0:26:02.680 --> 0:26:04.879
<v Speaker 2>And I'm Paul Sweeney. This is Bloomberg.

0:26:11.000 --> 0:26:15.520
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:26:15.840 --> 0:26:17.160
<v Speaker 1>on Bloomberg Radio.

0:26:17.800 --> 0:26:20.520
<v Speaker 2>We move now to news from the consumer good sector, because.

0:26:20.240 --> 0:26:23.400
<v Speaker 3>This week the global snacking company Kelenova announced it'll offer

0:26:23.440 --> 0:26:26.320
<v Speaker 3>a version of pop tarts with higher protein content. This

0:26:26.359 --> 0:26:27.360
<v Speaker 3>will begin in November.

0:26:27.480 --> 0:26:29.560
<v Speaker 2>The news comes this company start to add protein to

0:26:29.600 --> 0:26:31.959
<v Speaker 2>food with hopes of louring shoppers who've moved away from

0:26:32.040 --> 0:26:33.400
<v Speaker 2>highly processed products.

0:26:33.480 --> 0:26:36.480
<v Speaker 3>In other news, the retail giant Walmart announced a partnership

0:26:36.480 --> 0:26:39.200
<v Speaker 3>with AI research company open Ai. This deal would allow

0:26:39.200 --> 0:26:41.639
<v Speaker 3>shoppers to browse and purchase his products on the AI

0:26:41.720 --> 0:26:44.200
<v Speaker 3>chotbot chat GPT. For more on all of.

0:26:44.119 --> 0:26:46.760
<v Speaker 2>This, we were joined by Jen bartashis Bloomberg Intelligence Senior

0:26:46.760 --> 0:26:47.560
<v Speaker 2>retail analyst.

0:26:47.800 --> 0:26:50.320
<v Speaker 3>We began by asking Jen for her take on Kelenova's

0:26:50.320 --> 0:26:51.080
<v Speaker 3>protein boost.

0:26:51.560 --> 0:26:53.919
<v Speaker 7>Really, what we're seeing is a lot of these package

0:26:53.920 --> 0:26:57.480
<v Speaker 7>fry companies are tapping into this protein trend. It's something

0:26:57.480 --> 0:27:00.199
<v Speaker 7>that consumers are really looking for. And at the end

0:27:00.240 --> 0:27:01.960
<v Speaker 7>of the day, when it comes to PepsiCo or it

0:27:01.960 --> 0:27:05.320
<v Speaker 7>comes to Kelenova, this is really about making people feel

0:27:05.359 --> 0:27:08.800
<v Speaker 7>marginally better about eating food that is bad for them. Right,

0:27:08.880 --> 0:27:12.359
<v Speaker 7>Let's let's just be honest about it, right, So you know,

0:27:12.440 --> 0:27:14.919
<v Speaker 7>when you put protein on the package, people feel like

0:27:15.000 --> 0:27:17.200
<v Speaker 7>even if they're making a bad choice. It's not as

0:27:17.280 --> 0:27:19.640
<v Speaker 7>bad as it could have been. And that's really what's

0:27:19.720 --> 0:27:20.080
<v Speaker 7>behind this.

0:27:20.400 --> 0:27:23.880
<v Speaker 3>It's like the equivalent of vanity sizing at retailers. Right,

0:27:23.960 --> 0:27:25.679
<v Speaker 3>you know, you're actually a size six, but we're going

0:27:25.760 --> 0:27:27.760
<v Speaker 3>to tell you you're a size two so you feel better

0:27:27.800 --> 0:27:31.240
<v Speaker 3>and buy more clothes. Is this as simple jen as

0:27:31.320 --> 0:27:35.040
<v Speaker 3>just adding protein powder on top of the Kellogg's pop

0:27:35.119 --> 0:27:36.920
<v Speaker 3>tarts excuse me, Kelenova pop darts.

0:27:37.560 --> 0:27:40.360
<v Speaker 7>Yes, So what they've done is they've they've added protein

0:27:40.400 --> 0:27:43.760
<v Speaker 7>into the pastry part of the pop tart and that

0:27:43.880 --> 0:27:46.040
<v Speaker 7>changes the texture and the taste just a little bit.

0:27:46.760 --> 0:27:49.320
<v Speaker 7>But what's really interesting is the consumer trend behind it.

0:27:49.400 --> 0:27:52.399
<v Speaker 7>You know, we ran a proprietary protein study back in

0:27:52.440 --> 0:27:54.879
<v Speaker 7>the middle of the summer, and what we saw was

0:27:54.920 --> 0:27:58.840
<v Speaker 7>that almost forty percent of consumers eat something with protein

0:27:58.960 --> 0:28:01.399
<v Speaker 7>enhanced whether it's a snack or a beverage, on a

0:28:01.440 --> 0:28:05.080
<v Speaker 7>weekly basis, and you know, at at least thirty eight

0:28:05.119 --> 0:28:09.280
<v Speaker 7>percent so that they're eating more protein enhanced products in

0:28:09.320 --> 0:28:12.480
<v Speaker 7>the last three months. So clearly there's a consumer uptake,

0:28:12.520 --> 0:28:14.800
<v Speaker 7>there's interest in this, and that's what these companies are

0:28:14.840 --> 0:28:15.680
<v Speaker 7>really tapping into.

0:28:15.920 --> 0:28:18.199
<v Speaker 2>Do I want more protein do I need more protein?

0:28:18.320 --> 0:28:20.880
<v Speaker 3>I'm eating more egg whites, but that's because it's available

0:28:20.920 --> 0:28:21.280
<v Speaker 3>at work.

0:28:21.440 --> 0:28:23.959
<v Speaker 2>What are you doing, I don't know, use the same thing.

0:28:24.720 --> 0:28:26.679
<v Speaker 3>Your goldfish do not have extra protein on them.

0:28:27.720 --> 0:28:30.240
<v Speaker 2>Have extra protein.

0:28:30.440 --> 0:28:32.560
<v Speaker 7>Neither of you are on GLP one drugs, right, But

0:28:32.600 --> 0:28:35.320
<v Speaker 7>protein is a big solution for people who are on

0:28:35.359 --> 0:28:38.400
<v Speaker 7>those drugs because you tend to lose muscle mass as

0:28:38.440 --> 0:28:41.200
<v Speaker 7>a side effect of those drugs, and so as the

0:28:41.280 --> 0:28:44.160
<v Speaker 7>uptake of GLP one goes up, there's more and more

0:28:44.200 --> 0:28:46.040
<v Speaker 7>demand for these protein and Harry products.

0:28:46.120 --> 0:28:48.600
<v Speaker 2>That's what I needed. Okay, Now I'm at a cocktail

0:28:48.600 --> 0:28:51.080
<v Speaker 2>party and I need to sound smart on proteins. Now

0:28:51.080 --> 0:28:51.480
<v Speaker 2>I got mine.

0:28:51.560 --> 0:28:54.720
<v Speaker 3>But apparently fiber is the new protein and jen Is

0:28:54.760 --> 0:28:56.880
<v Speaker 3>didn't the PepsiCo CEO say something about.

0:28:56.680 --> 0:29:00.760
<v Speaker 7>This, yeah, you know, whether it's yeah, anything that helps

0:29:00.840 --> 0:29:04.040
<v Speaker 7>kind of enhance the product. So when you talk about

0:29:04.040 --> 0:29:08.400
<v Speaker 7>Dorito's that they have additional milk protein being added, you know,

0:29:08.480 --> 0:29:11.640
<v Speaker 7>higher fiber products. All of these things are things that people,

0:29:12.000 --> 0:29:15.160
<v Speaker 7>the average consumer perceives as having a health or wellness benefit,

0:29:15.760 --> 0:29:18.240
<v Speaker 7>and people are trying, in small steps to be a

0:29:18.280 --> 0:29:19.520
<v Speaker 7>little bit better about their health.

0:29:20.000 --> 0:29:21.720
<v Speaker 2>All right, let's get to another story I thought was

0:29:21.840 --> 0:29:26.080
<v Speaker 2>really interesting Walmart partners with open Ai to offer shopping

0:29:26.480 --> 0:29:31.560
<v Speaker 2>on chat GPT. This sounds like a natural what's going

0:29:31.600 --> 0:29:31.840
<v Speaker 2>on here?

0:29:31.880 --> 0:29:32.080
<v Speaker 6>Jen?

0:29:33.000 --> 0:29:35.280
<v Speaker 7>Yeah, this is an interesting move, but I think it

0:29:35.400 --> 0:29:38.240
<v Speaker 7>really illustrates sort of that trend of what's happening across

0:29:38.280 --> 0:29:42.520
<v Speaker 7>retail in general. Walmart's really been very good about doing

0:29:42.560 --> 0:29:46.120
<v Speaker 7>experimentation and kind of checking out what the opportunities are

0:29:46.160 --> 0:29:51.160
<v Speaker 7>when it comes to social media and social commerce particularly,

0:29:51.480 --> 0:29:55.160
<v Speaker 7>and this lead us to partnership with with Open Eye.

0:29:55.240 --> 0:29:58.960
<v Speaker 7>This really does tap into that as well. Now, social

0:29:59.280 --> 0:30:01.640
<v Speaker 7>spending is still very small in terms of the overall

0:30:01.640 --> 0:30:04.960
<v Speaker 7>percentage of what retailers are achieving, but it's important to

0:30:04.960 --> 0:30:08.160
<v Speaker 7>be present and I think that's what's most notable about

0:30:08.160 --> 0:30:08.840
<v Speaker 7>this announcement.

0:30:09.280 --> 0:30:12.680
<v Speaker 3>What is social spending and how do the numbers differ

0:30:12.800 --> 0:30:18.120
<v Speaker 3>from from normal shopping through Walmart's website or going into

0:30:18.120 --> 0:30:19.360
<v Speaker 3>Walmart's actual stores.

0:30:20.240 --> 0:30:22.800
<v Speaker 7>Yeah. So social commerce is when you're on a platform,

0:30:22.840 --> 0:30:25.880
<v Speaker 7>whether it's on chat, gptin now or whether it's on TikTok,

0:30:26.000 --> 0:30:29.560
<v Speaker 7>or whether it's on Facebook or any of the social

0:30:29.640 --> 0:30:31.760
<v Speaker 7>media platforms, and you have the ability to add to

0:30:31.840 --> 0:30:35.560
<v Speaker 7>cart and buy now. That's that's social commerce, but it's

0:30:35.560 --> 0:30:39.400
<v Speaker 7>still a tiny, tiny fraction of the overall e commerce

0:30:39.400 --> 0:30:40.640
<v Speaker 7>that happens for these companies.

0:30:41.000 --> 0:30:42.120
<v Speaker 4>So while it's.

0:30:41.960 --> 0:30:45.400
<v Speaker 7>Important in terms of their showing that they're present and

0:30:45.400 --> 0:30:47.600
<v Speaker 7>that they're aware of new technologies, it's not going to

0:30:47.640 --> 0:30:50.640
<v Speaker 7>move the needle with regards to their overall e commerce

0:30:50.680 --> 0:30:52.280
<v Speaker 7>sales or their overall business mix.

0:30:52.320 --> 0:30:55.960
<v Speaker 2>At this point, Jen, we've got a little bit more data,

0:30:56.000 --> 0:30:59.240
<v Speaker 2>a little bit more time and has it relates to tariffs?

0:30:59.240 --> 0:31:03.000
<v Speaker 2>What's your best guest says to what your package food companies,

0:31:03.040 --> 0:31:07.200
<v Speaker 2>your retailers, how are they kind of segmenting the terrors

0:31:07.560 --> 0:31:09.760
<v Speaker 2>before maybe passing along something to the consumer.

0:31:10.760 --> 0:31:14.800
<v Speaker 7>Yeah, it's a complicated situation, Paul, And really what's happening

0:31:14.880 --> 0:31:18.120
<v Speaker 7>is where they can find alternative sourcing. A lot of

0:31:18.120 --> 0:31:20.600
<v Speaker 7>companies have been trying to do that. There are some

0:31:20.720 --> 0:31:23.280
<v Speaker 7>companies in package food where that's not as easy. So

0:31:23.360 --> 0:31:25.960
<v Speaker 7>I would take McCormick as an example, where a lot

0:31:25.960 --> 0:31:29.760
<v Speaker 7>of spices you can't produce domestically or you can't source domestically,

0:31:30.560 --> 0:31:32.680
<v Speaker 7>and then it becomes a question of how do you

0:31:33.080 --> 0:31:37.280
<v Speaker 7>negotiate with partners, do you find alternative countries of origin

0:31:37.360 --> 0:31:40.760
<v Speaker 7>that maybe have slightly lower tariff levels, and it's also

0:31:41.080 --> 0:31:43.440
<v Speaker 7>a lot of effort right now is going into finding

0:31:43.800 --> 0:31:46.320
<v Speaker 7>efficiencies that can help offset those costs so that they

0:31:46.320 --> 0:31:48.280
<v Speaker 7>can absorb some of that cost and not have to

0:31:48.280 --> 0:31:51.560
<v Speaker 7>pass it on to consumers. Ultimately, most of the companies

0:31:51.600 --> 0:31:54.560
<v Speaker 7>we're talking to are saying that where needed, they will

0:31:54.680 --> 0:31:58.400
<v Speaker 7>very strategically pass price through, but they're trying to avoid

0:31:58.400 --> 0:32:02.080
<v Speaker 7>a uniform, unilateral price increase just due to tariffs.

0:32:02.240 --> 0:32:04.000
<v Speaker 3>How much of this work has been done what you

0:32:04.200 --> 0:32:07.440
<v Speaker 3>just described, and I guess I wonder how much of

0:32:07.480 --> 0:32:10.640
<v Speaker 3>it will be covered in the earnings calls this quarter.

0:32:11.560 --> 0:32:13.360
<v Speaker 7>I think it will be definitely a topic of the

0:32:13.360 --> 0:32:16.960
<v Speaker 7>earnings calls this quarter. But when we had tariffs back

0:32:17.000 --> 0:32:20.040
<v Speaker 7>in twenty eighteen, a lot of companies started the process

0:32:20.160 --> 0:32:25.000
<v Speaker 7>of identifying other options for sourcing. So there's probably been

0:32:25.040 --> 0:32:28.600
<v Speaker 7>more progress made than people would recognize because it didn't

0:32:28.640 --> 0:32:32.080
<v Speaker 7>just start this year, and so it's been sort of

0:32:32.120 --> 0:32:35.520
<v Speaker 7>a gradual shift. And once they have those plans in place,

0:32:35.560 --> 0:32:39.000
<v Speaker 7>they can sort of accelerate that and then the focus

0:32:39.040 --> 0:32:41.920
<v Speaker 7>really is on efficiencies, and that's where the technology comes

0:32:41.960 --> 0:32:44.560
<v Speaker 7>back into play, where it helps them be better with

0:32:44.680 --> 0:32:49.120
<v Speaker 7>regards to their sourcing, their negotiations, and really in terms

0:32:49.160 --> 0:32:53.200
<v Speaker 7>of understanding what products they actually need to carry and

0:32:53.240 --> 0:32:57.000
<v Speaker 7>which products they could perhaps suspend or discontinue.

0:32:56.440 --> 0:32:59.880
<v Speaker 2>Our thanks to Jen Bartashi's Bloomberg Intelligence Senior retail analyst.

0:33:00.000 --> 0:33:01.760
<v Speaker 3>We move next to news in the tech sector.

0:33:02.040 --> 0:33:04.680
<v Speaker 2>This week, we heard that the chip maker Advanced micro

0:33:04.800 --> 0:33:07.320
<v Speaker 2>Devices received a major order from Oracle for its new

0:33:07.360 --> 0:33:09.920
<v Speaker 2>AI chips. This announcement is part of a frenzy of

0:33:09.920 --> 0:33:12.200
<v Speaker 2>deals by big tech and AI companies.

0:33:11.800 --> 0:33:14.719
<v Speaker 3>And in other news, the cloud based software companies Salesforce

0:33:14.800 --> 0:33:17.920
<v Speaker 3>expanded its partnership with open Ai. This will allow companies

0:33:17.960 --> 0:33:21.680
<v Speaker 3>to access Salesforce's agent Force app and chat GPT, enabling

0:33:21.760 --> 0:33:23.680
<v Speaker 3>instant checkout in its commerce platform.

0:33:23.840 --> 0:33:26.440
<v Speaker 2>For more, we would joined by anaag Rana, Bloomberg Intelligence

0:33:26.480 --> 0:33:29.320
<v Speaker 2>technology analyst. We first asked Anarak if the recent deal

0:33:29.320 --> 0:33:31.360
<v Speaker 2>between AMD and Oracle is unusual.

0:33:31.640 --> 0:33:33.960
<v Speaker 6>The slight and usual part is that the AMD chip

0:33:34.040 --> 0:33:36.680
<v Speaker 6>seems to be doing at parity at what Nvidio chips

0:33:36.720 --> 0:33:39.560
<v Speaker 6>are for this particular case. Now, I do not know

0:33:39.600 --> 0:33:42.200
<v Speaker 6>what kind of workloads Oracle will put on it, so

0:33:42.240 --> 0:33:44.840
<v Speaker 6>you really can't do an apples to apples comparison. But

0:33:45.720 --> 0:33:48.560
<v Speaker 6>The story at this point is Oracle has a massive

0:33:48.640 --> 0:33:52.320
<v Speaker 6>backlock of orders and it needs to invest money to

0:33:52.400 --> 0:33:55.000
<v Speaker 6>get them converted into revenue. They need to open more

0:33:55.080 --> 0:33:58.160
<v Speaker 6>data centers or rent out more data centers. They need

0:33:58.160 --> 0:34:01.280
<v Speaker 6>to buy more chips, buy more hardware, and combine all

0:34:01.320 --> 0:34:03.520
<v Speaker 6>that together and eventually then they're going to get paid

0:34:03.520 --> 0:34:05.680
<v Speaker 6>for all that stuff. So they're going anywhere they can

0:34:05.680 --> 0:34:07.680
<v Speaker 6>find chips right now, and you know, it seems that

0:34:07.720 --> 0:34:09.160
<v Speaker 6>AMD is their next stop.

0:34:09.840 --> 0:34:11.640
<v Speaker 3>So there are a couple of threads to pull on there.

0:34:11.680 --> 0:34:15.120
<v Speaker 3>It feels like AMD is increasingly the number one alternative

0:34:15.160 --> 0:34:17.920
<v Speaker 3>to invidios chips. We can talk about that a little bit.

0:34:17.960 --> 0:34:21.280
<v Speaker 3>But what struck me is that there's no dollar amount

0:34:21.320 --> 0:34:26.520
<v Speaker 3>disclosed in this deal or partnership or promise. The previous

0:34:26.800 --> 0:34:30.120
<v Speaker 3>deal that AMD struck with open Ai just said tens

0:34:30.120 --> 0:34:32.800
<v Speaker 3>of billions of dollars in new revenue. Why are firms

0:34:32.880 --> 0:34:34.319
<v Speaker 3>keeping it so vague.

0:34:35.280 --> 0:34:37.520
<v Speaker 6>Well, because they do not know how many chips they

0:34:37.520 --> 0:34:40.000
<v Speaker 6>would need at what point, at what capacity. This is

0:34:40.040 --> 0:34:43.040
<v Speaker 6>a you know, it's not you know, it's more so

0:34:43.120 --> 0:34:46.760
<v Speaker 6>signaling that we are not just truly dependent on in video,

0:34:47.080 --> 0:34:49.440
<v Speaker 6>we have other options as well. It helps them with

0:34:49.880 --> 0:34:52.880
<v Speaker 6>navigating in terms of pricing from in video. Also, you know,

0:34:52.880 --> 0:34:55.160
<v Speaker 6>we know in video chips are getting expensive over the

0:34:55.239 --> 0:34:58.640
<v Speaker 6>last few years, so there could be one reason. The

0:34:58.680 --> 0:35:01.040
<v Speaker 6>other thing we don't know is what the workloads there are.

0:35:01.120 --> 0:35:04.320
<v Speaker 6>Because we know, for the absolute best of the best,

0:35:04.880 --> 0:35:06.839
<v Speaker 6>you you have to use in video chips. That's what

0:35:06.880 --> 0:35:08.880
<v Speaker 6>we know. Whether all of that changes in twelve to

0:35:08.920 --> 0:35:12.120
<v Speaker 6>eighteen months, we don't know. But there are other workloads

0:35:12.120 --> 0:35:14.719
<v Speaker 6>that may not require that amount of you know, firepower

0:35:14.800 --> 0:35:17.319
<v Speaker 6>or horse power you could say. For that you may

0:35:17.480 --> 0:35:20.320
<v Speaker 6>use you know, AMD chips or something even more inferior.

0:35:21.239 --> 0:35:24.719
<v Speaker 2>And even yet another announcement in your space an rock Salesforce,

0:35:24.760 --> 0:35:26.439
<v Speaker 2>a company you've been talking to us about for many,

0:35:26.440 --> 0:35:31.400
<v Speaker 2>many years, Salesforce and open Ai announced an expanded strategic partnership.

0:35:33.000 --> 0:35:33.839
<v Speaker 2>What's going on there?

0:35:35.040 --> 0:35:37.880
<v Speaker 6>Yeah, So for me, this is actually a far bigger

0:35:38.000 --> 0:35:41.879
<v Speaker 6>news and has more ramifications in the long run. If

0:35:41.920 --> 0:35:44.560
<v Speaker 6>you see what's been happening in the software landscape over

0:35:44.600 --> 0:35:48.080
<v Speaker 6>the past two years, the threat is that Opening I

0:35:48.200 --> 0:35:51.160
<v Speaker 6>will come and it will take away you know, basically

0:35:51.239 --> 0:35:54.120
<v Speaker 6>the businesses of all the application software vendors. You know,

0:35:54.160 --> 0:35:58.600
<v Speaker 6>whether that's Adobe, Workday Salesforce, HubSpot, you name it. Because

0:35:58.960 --> 0:36:03.719
<v Speaker 6>open ai has shown capabilities that their model can help

0:36:03.760 --> 0:36:08.480
<v Speaker 6>out in functions such as finance, human resources, sales automations,

0:36:08.480 --> 0:36:13.719
<v Speaker 6>et cetera. This integration between the world's biggest CRM software vendor,

0:36:13.760 --> 0:36:16.560
<v Speaker 6>which is Salesforce, and open Ai shows that both of

0:36:16.560 --> 0:36:19.160
<v Speaker 6>them will be working together and you know, it'll be

0:36:19.200 --> 0:36:23.120
<v Speaker 6>easier for enterprises to go inside open ai chart GPT

0:36:23.719 --> 0:36:26.279
<v Speaker 6>ask for what they want that gets connected to the

0:36:26.840 --> 0:36:30.319
<v Speaker 6>data that resuldes in Salesforce. Makes it very easy for

0:36:30.719 --> 0:36:33.680
<v Speaker 6>the enterprise customers to do their work as well, rather

0:36:33.760 --> 0:36:36.399
<v Speaker 6>than just going into you know, Salesforce. So I think

0:36:36.400 --> 0:36:38.640
<v Speaker 6>this is a bigger news in the long run. But

0:36:39.080 --> 0:36:41.319
<v Speaker 6>you know we are all talking about Oracle as well.

0:36:41.680 --> 0:36:45.520
<v Speaker 3>Yeah, open Ai announces a new deal with someone every day, Paul.

0:36:45.560 --> 0:36:48.279
<v Speaker 3>This is kind of what you're getting back to. And

0:36:48.360 --> 0:36:51.640
<v Speaker 3>this really both of these announcements are the latest in

0:36:51.680 --> 0:36:54.160
<v Speaker 3>the string of big tech building more computing infrastructure and

0:36:54.200 --> 0:36:57.239
<v Speaker 3>meeting this demand, this and satual demand. I've really lost

0:36:57.239 --> 0:37:01.720
<v Speaker 3>track of the permutations, an what were you about? These

0:37:01.920 --> 0:37:05.279
<v Speaker 3>back and forth announcements and partnerships, and you know, the

0:37:05.400 --> 0:37:07.520
<v Speaker 3>billions of dollars that may or may not change hands.

0:37:08.760 --> 0:37:10.600
<v Speaker 3>Do do we think that these are just announcements that

0:37:10.760 --> 0:37:14.080
<v Speaker 3>may not come to fruition if circumstances change, for instance,

0:37:14.120 --> 0:37:15.160
<v Speaker 3>in the next six months.

0:37:16.320 --> 0:37:18.320
<v Speaker 6>See from a salesforce point of view, and which is

0:37:18.320 --> 0:37:20.440
<v Speaker 6>which I was? You know, you would say most of

0:37:20.480 --> 0:37:23.239
<v Speaker 6>us are worried about as the legacy software names. It's

0:37:23.239 --> 0:37:25.840
<v Speaker 6>a good thing because opening I is a new channel

0:37:25.880 --> 0:37:28.760
<v Speaker 6>of communication with you know, the rest of the world.

0:37:28.920 --> 0:37:32.239
<v Speaker 6>If you can integrate your product with them, it kind

0:37:32.239 --> 0:37:35.279
<v Speaker 6>of saves you from getting disrupted. The question is and

0:37:35.360 --> 0:37:37.400
<v Speaker 6>the long run, and then we'll find out what happens

0:37:37.480 --> 0:37:40.440
<v Speaker 6>is will Opening I have that much level of funding

0:37:40.719 --> 0:37:43.319
<v Speaker 6>to keep up with all the promises that they have.

0:37:43.719 --> 0:37:46.719
<v Speaker 6>They have given very high revenue estimates for the next

0:37:46.719 --> 0:37:48.920
<v Speaker 6>few years. But at the same time, I mean, the

0:37:48.960 --> 0:37:51.120
<v Speaker 6>rest of the bigger you know, tech vendors are not

0:37:52.160 --> 0:37:54.560
<v Speaker 6>you know, just sleeping. At that point, I would say,

0:37:54.840 --> 0:37:57.359
<v Speaker 6>we'll find out whether open I will be able to

0:37:57.400 --> 0:38:00.520
<v Speaker 6>gain market share from the likes of you know, Microsoft, Topple,

0:38:00.960 --> 0:38:05.719
<v Speaker 6>Google and Meta or Amazon, or this is going to

0:38:05.719 --> 0:38:07.920
<v Speaker 6>be just an expansion of the overall market.

0:38:08.000 --> 0:38:11.080
<v Speaker 3>Our thanks to Honor Agrana Bloomberg Intelligence Technology analyst.

0:38:11.280 --> 0:38:13.959
<v Speaker 2>It's this week's edition of Bloomberg Intelligence on Bloomberg Radio,

0:38:14.160 --> 0:38:16.720
<v Speaker 2>providing in depth research and data on two thousand companies

0:38:16.719 --> 0:38:18.040
<v Speaker 2>and one hundred and thirty industries.

0:38:18.160 --> 0:38:20.680
<v Speaker 3>And remember you can access Bloomberg Intelligence via b I

0:38:20.760 --> 0:38:23.840
<v Speaker 3>go on the terminal. I'm Scarlett Foo and I'm Paul Sweeney.

0:38:23.920 --> 0:38:26.520
<v Speaker 2>Stay with us. Today's top stories and global business headlines

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