WEBVTT - BI Weekend: Nike Turnaround, Airlines Outlook, AWS Growth 

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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

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<v Speaker 3>performed a lot of investors getting whipsaled every day by

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<v Speaker 3>news events, breaking market headlines.

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

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

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

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<v Speaker 2>business story is 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 are analysts cover worldwide today?

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<v Speaker 2>Well, look at why you turnaround at the footwear giant

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<v Speaker 2>Nike is beginning to take hold in North America.

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<v Speaker 3>Plus a look at why Amazon cloud sales may get

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<v Speaker 3>a push from AI in twenty twenty six.

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<v Speaker 2>But first recently on Bloomberg Intelligence, we discussed HBO show Industry.

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<v Speaker 3>Industry is a high six drama following young graduates competing

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<v Speaker 3>for careers in a prestigious London investment bank.

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<v Speaker 2>Now in season four, this year the bank has folded

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<v Speaker 2>and some of these junior bankers have become power players

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<v Speaker 2>in finance, business and politics.

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<v Speaker 3>For more on the show, we sat down with Mickey

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<v Speaker 3>Down and Conrad k co creators, writers and executive producers

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<v Speaker 3>of the HBO show Industry. We began by asking Mickey

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<v Speaker 3>Down about the theme for season four.

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<v Speaker 4>Wow, what a big question. I think the theme season

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<v Speaker 4>four is as you said, you know, these kindacters didn't

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<v Speaker 4>have power, and it was about the recruing power. Now

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<v Speaker 4>they have power, what do they decide to do with it?

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<v Speaker 4>And how does it corrupt them? How does it mutate them?

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<v Speaker 4>And is there a way out of this institution, this life,

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<v Speaker 4>this industry.

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<v Speaker 2>You know, I spent thirty five years on Wall Street,

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<v Speaker 2>you and the many years on a trading desk. You

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<v Speaker 2>guys get it. I mean you got it. I don't

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<v Speaker 2>know how you guys did that. Did you guys work

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<v Speaker 2>on in the financial services before?

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<v Speaker 5>Conrade? I did?

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<v Speaker 2>Yeah?

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<v Speaker 6>After I graduated college. I was. I was a US

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<v Speaker 6>equity sales guy Morgan Stanley for three years and I

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<v Speaker 6>was famously when my boss let me go, he said

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<v Speaker 6>I was the worst salesman he'd.

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<v Speaker 4>Ever met Wall Street.

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<v Speaker 6>So it was like, go and do something else because

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<v Speaker 6>you're pretty useless of this.

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<v Speaker 2>Well that's a true Wall Street career, yet kind of

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<v Speaker 2>Wall Street career until you've been fired from Wall Street.

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<v Speaker 2>That's what I've been there myself. You guys, what's the

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<v Speaker 2>state of the industry in London these states? I mean,

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<v Speaker 2>how are people how are the young people feeling in

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<v Speaker 2>the industry, Because you guys reflect that with your show

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<v Speaker 2>very well.

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<v Speaker 4>Well, I think I'll show is a reflection of almost

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<v Speaker 4>like ten years ago when we were in it, and

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<v Speaker 4>I feel like people like me and Cornell would never

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<v Speaker 4>have been all out in the industry.

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<v Speaker 5>Now.

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<v Speaker 4>I think it's become a lot more technocratic. We both

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<v Speaker 4>did art subjects.

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<v Speaker 6>It's so underqualified you don't believe we were.

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<v Speaker 4>I'm not a great mathematician, but you speaking to a

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<v Speaker 4>literature graduate and a theologian.

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<v Speaker 6>So derivetis exalted.

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<v Speaker 4>Derivatives were not strong in England? Is that allowed?

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<v Speaker 3>So there's no room for the arts majors on Global

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<v Speaker 3>Wall Street anymore. And what's apparent is the show has

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<v Speaker 3>become less about banking and more about wealth and resources

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<v Speaker 3>and the leveraging of that.

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<v Speaker 7>So, sure, Comrad, what are you saying about.

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<v Speaker 3>Capitalism and how it interacts with politics with media?

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<v Speaker 6>I don't know. I mean the thing is that as

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<v Speaker 6>we've written the show, we've realized that more and more

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<v Speaker 6>we're writing really about the class system in the UK.

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<v Speaker 6>Who has power, who doesn't have power, who's born into power,

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<v Speaker 6>and the sort of relative different class ceilings people face.

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<v Speaker 6>Like I think season one was a kind of experiment

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<v Speaker 6>because they were the main characters were from such different

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<v Speaker 6>socioeconomic backgrounds that they were always bumping up against different

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<v Speaker 6>different ceilings. And then in terms of like me and

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<v Speaker 6>Mickey never set out every season to say something, did

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<v Speaker 6>I take about capitalism? Like I think the show is,

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<v Speaker 6>the show has something to say if you're looking underneath

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<v Speaker 6>it. It has like a very strong subtext. But like we

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<v Speaker 6>set out to make eight hours and the most entertaining

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<v Speaker 6>thing we can, like nine pm on HBO really means something. Still,

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<v Speaker 6>all we care about is entertaining an audience.

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<v Speaker 2>Really, how was it getting a show on the air.

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<v Speaker 2>Of these days, there's so many different platforms to be

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<v Speaker 2>pitched to a handful of networks and hope for the best.

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<v Speaker 2>Now you can go anywhere on these streaming platforms. How

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<v Speaker 2>does that impact from the creator's perspective.

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<v Speaker 4>Well, I think there's there are fewer options than there

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<v Speaker 4>were at least five years ago. I think there's been

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<v Speaker 4>a massive contraction in the industry. I think it's actually

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<v Speaker 4>much harder to get something on TV than it was

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<v Speaker 4>when we started. You know, we were two guys x financiers,

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<v Speaker 4>grandiose term who were given an opportunity to make something

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<v Speaker 4>on a relatively small budget by the biggest network, most

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<v Speaker 4>prestigious network. I just think that wouldn't happen now. I

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<v Speaker 4>think we were No, it's an original show. It's it's

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<v Speaker 4>not IP driven. We don't have any fat fans to surface,

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<v Speaker 4>it's not a comic book. That kind of show is

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<v Speaker 4>just they're few in part between now and there are

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<v Speaker 4>lots of different training platforms and not different outlets. But

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<v Speaker 4>I think actually we're just making a lot less stuff.

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<v Speaker 6>We were really in the right place at the right

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<v Speaker 6>time when we started developing the show about ten years ago,

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<v Speaker 6>because it was the real goal rush of team Yeah

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<v Speaker 6>in terms of the amount of content getting created.

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<v Speaker 4>Netflix came in.

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<v Speaker 6>Disrupted the whole model by flooding, flooding the zone with

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<v Speaker 6>cash and quantity, and we were just in the right

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<v Speaker 6>place at the right time.

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<v Speaker 3>Someone you know, Season four is rolling out right when

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<v Speaker 3>HBO's parent company, Warner Brothers, is in the middle of

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<v Speaker 3>a drawn out bidding war, something that Paul and I

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<v Speaker 3>have joked about would make a really worthy Sunday Night

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<v Speaker 3>series of its own. Were you ever tempted to draw

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<v Speaker 3>any parallels between the show and the real life drama

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<v Speaker 3>that's going on to your corporate parent I.

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<v Speaker 4>Think another HBO show what he did?

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<v Speaker 6>Yeah, very successful one more emmy than us.

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<v Speaker 4>Will leave it to them.

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<v Speaker 7>Yeah, but you know, you could have made it really matter.

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<v Speaker 4>For instance, for sure, surprisingly they don't consult on something

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<v Speaker 4>in the other maybe I should.

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<v Speaker 3>The other thing that I noticed is that you introduced

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<v Speaker 3>a lot of new characters this season played by American

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<v Speaker 3>actors Kieran and Shipka, formerly of Mad Men maximin Gilla.

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<v Speaker 3>He's English, but he plays an American character. Why do

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<v Speaker 3>you put so much of a focus on Americans? In London,

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<v Speaker 3>given that you're both British, I mean, and it takes

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<v Speaker 3>place in London.

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<v Speaker 7>It's interesting, Well, finance.

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<v Speaker 4>Is a global industry. I think obviously there's a lot

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<v Speaker 4>of you know, international people who finance was my experience

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<v Speaker 4>working in the financial services industry. And the show was

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<v Speaker 4>originally conceived as a kind of outside the status show.

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<v Speaker 4>It was about someone coming into an inside world, and

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<v Speaker 4>you know, that was encapsulated by Harper, who's a black

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<v Speaker 4>American woman from coming into the UK, which is obviously

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<v Speaker 4>rigidly class based, and that felt really interesting. We just

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<v Speaker 4>like to I know, we like a mishmash of voices.

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<v Speaker 4>I mean, there was some people complain about the show

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<v Speaker 4>and his accents and an amount of different accents that

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<v Speaker 4>are in the show, but we just love.

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<v Speaker 6>I think I'm just thinking of giving an American audience

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<v Speaker 6>and access point to the show because, as Mickey said,

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<v Speaker 6>it's very jarg and heavy show. It's loaded with Britishism, slag,

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<v Speaker 6>British slang, British codes of conduct. We wanted to give

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<v Speaker 6>Americans a bit of a foothold into what we're trying

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<v Speaker 6>to do.

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<v Speaker 2>Just real quickly, who's your audience like what's a typical

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<v Speaker 2>viewer of your show.

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<v Speaker 6>I'm talking very wide, very wide in terms of demographically,

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<v Speaker 6>in terms of age. I mean, i'd say Casus to

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<v Speaker 6>everyone from eighteen to eighty.

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<v Speaker 5>Really really does.

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<v Speaker 4>My ninety four year old grandmother loves it.

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<v Speaker 7>You guys, email you guys all the time. What's the

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<v Speaker 7>number one feedback?

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<v Speaker 5>You're getting us wrong?

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<v Speaker 4>Or ride or you're getting your ride I could do better.

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<v Speaker 4>Or it's really become a bit of a recruitment tool.

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<v Speaker 4>If people was saying that that's the reason they go

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<v Speaker 4>into wool Street reach, Oh my gosh, that's actually what

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<v Speaker 4>I wanted.

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<v Speaker 2>My mine was Wall Street with Michael Douglas.

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<v Speaker 4>That was mine as well.

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<v Speaker 2>Our thanks to Mickey Down and Conrad k co creators, writers,

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<v Speaker 2>and executive producers of the HBO show industry.

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<v Speaker 3>We move next to the world of sports. With the

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<v Speaker 3>Super Bowl less than five weeks away, the run up

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<v Speaker 3>to the Big Game on February eighth could be a

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<v Speaker 3>key window for sports spreading companies like Draft Kings and FanDuel.

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<v Speaker 2>According to Bloomberg Intelligence, this time period could allow the

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<v Speaker 2>companies to expand distribution of the new prediction markets apps

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<v Speaker 2>available in seventeen States.

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<v Speaker 3>We're joined by Brian Egger, Bloomberg Intelligence senior gaming and

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<v Speaker 3>lodging analysts.

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<v Speaker 2>We first asked Brian about how DraftKings and Fandel have

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<v Speaker 2>been positioning themselves for the NFL playoffs.

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<v Speaker 5>Yeah.

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<v Speaker 8>So, DraftKings and FanDuel, among other things, recently rolled out

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<v Speaker 8>these prediction market apps which are separate from their sports books.

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<v Speaker 8>And this is really to could peep our head on

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<v Speaker 8>against kle Shee and Robinhood and other of these financial

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<v Speaker 8>firms that offer these event contracts in a number of states.

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<v Speaker 2>How big is I'm hearing more and more about this

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<v Speaker 2>prediction market market. How big is this thing?

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<v Speaker 8>I mean, this is potentially really large. I don't have

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<v Speaker 8>numbers in front of me, But the key thing is

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<v Speaker 8>that call she and Robin ad are trying to do

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<v Speaker 8>this in all fifty states. They're about a dozen states

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<v Speaker 8>that either told them cease and desist because they effectively

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<v Speaker 8>are engaging in illegal sports betting according to the states,

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<v Speaker 8>or a couple of states have warned DraftKings, fandle don't

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<v Speaker 8>do the same thing if you've got a sports book license.

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<v Speaker 8>So what DraftKings of Fandal did was try to go

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<v Speaker 8>into states with this product where they don't operate sports books,

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<v Speaker 8>they can do prediction markets on politics or entertainment events

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<v Speaker 8>in any state, but the real issue is with respective sports.

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<v Speaker 8>That's where they limit themselves.

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<v Speaker 3>Let me ask you dumb question, and maybe we don't

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<v Speaker 3>know the answer to this yet. Who is the target

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<v Speaker 3>audience for a contract and in production market setting versus

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<v Speaker 3>you know, just a regular parlay or some bet in.

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<v Speaker 8>Resources of the type of person in terms of the

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<v Speaker 8>type of area or territory.

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<v Speaker 7>Uh huh.

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<v Speaker 8>Think about the fact that you've got mobile sports books

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<v Speaker 8>in almost thirty states, thirty some odd states, draftings Fandel

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<v Speaker 8>and twenty five of them other states, big states like

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<v Speaker 8>Texas and California, they don't have legal sports books and

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<v Speaker 8>sports betting. That's a logical market for call She and

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<v Speaker 8>Robinhood to go in there and say you can do

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<v Speaker 8>these prediction markets and engage in that even though sports

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<v Speaker 8>betting isn't active and legal in the state. That's really

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<v Speaker 8>the big.

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<v Speaker 2>So what Texas and Florida say about that?

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<v Speaker 9>Right?

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<v Speaker 8>So, without going through every state, they're about a dozen

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<v Speaker 8>states that either specifically told cal She and poly Market

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<v Speaker 8>or Robinhood season Assist don't do this a few others

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<v Speaker 8>have issued Wetter's warning. Draftings of Fandel do not offer

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<v Speaker 8>a sports prediction market in a state where you've got

0:09:41.960 --> 0:09:44.840
<v Speaker 8>a sports bet license. So what Fando and Draftings did

0:09:44.920 --> 0:09:47.960
<v Speaker 8>is you know, seventeen states for Draftings five or Fandel.

0:09:48.679 --> 0:09:51.320
<v Speaker 8>They're offering this product in states where they don't have

0:09:51.320 --> 0:09:53.839
<v Speaker 8>sports books and where sports betting isn't quote legal.

0:09:54.840 --> 0:09:57.640
<v Speaker 7>Who regulates the sports markets? So it's confused.

0:09:57.679 --> 0:10:00.800
<v Speaker 8>It's very confusing because the sports book are regulated by

0:10:00.800 --> 0:10:04.400
<v Speaker 8>state gaming regulatory authorities. The prediction markets are regulated by

0:10:04.400 --> 0:10:08.000
<v Speaker 8>the CFTC, so it's state versus federal And that's been

0:10:08.000 --> 0:10:10.480
<v Speaker 8>the argument of Kolch that you know, we're a financial

0:10:10.600 --> 0:10:14.640
<v Speaker 8>futures contract, we're not sports betting. We are federally regulated.

0:10:14.920 --> 0:10:16.760
<v Speaker 8>The states have pushed back and said no, this is

0:10:16.800 --> 0:10:20.280
<v Speaker 8>a form of effectively on licened sports betting, and ultimately

0:10:20.280 --> 0:10:22.240
<v Speaker 8>I think this heads to the Supreme Court. That's certainly

0:10:22.240 --> 0:10:24.560
<v Speaker 8>in the view of Elia Steine or litigation analyst.

0:10:25.480 --> 0:10:29.200
<v Speaker 2>So what are the casino companies say these days are

0:10:29.400 --> 0:10:31.840
<v Speaker 2>what do they say? Does that impact their sports book

0:10:31.880 --> 0:10:32.920
<v Speaker 2>and their sports betting and.

0:10:32.960 --> 0:10:36.200
<v Speaker 8>On the margin to the extent that MGM and Caesars

0:10:36.200 --> 0:10:39.000
<v Speaker 8>have mobile products. It's very possible to look into this

0:10:39.080 --> 0:10:42.240
<v Speaker 8>type of product as well. Again in those states where

0:10:42.280 --> 0:10:44.440
<v Speaker 8>sports betting is at legal, so everyone's going to be

0:10:44.440 --> 0:10:47.160
<v Speaker 8>thick about it. And the real other other wrinkle is

0:10:47.840 --> 0:10:50.920
<v Speaker 8>Texas and California once they realize we may not have

0:10:51.080 --> 0:10:53.520
<v Speaker 8>sports betting. What we have effectively sports betters. If you

0:10:53.559 --> 0:10:55.880
<v Speaker 8>believe that's what prediction markets are, we might as well

0:10:56.000 --> 0:10:59.760
<v Speaker 8>legalize it. And so there's a whole bunch of ram

0:10:59.800 --> 0:11:00.840
<v Speaker 8>of cations to this.

0:11:01.040 --> 0:11:05.440
<v Speaker 3>What about Native American tribes in states like California in Connecticut,

0:11:05.720 --> 0:11:06.840
<v Speaker 3>where do they fit it?

0:11:07.240 --> 0:11:11.240
<v Speaker 8>I mean in California, although sports betting isn't legal in California,

0:11:11.679 --> 0:11:16.480
<v Speaker 8>the tribes have themselves challenged and through legally the Whites

0:11:16.480 --> 0:11:18.760
<v Speaker 8>of call She and Robin Hood I don't remember which one.

0:11:19.200 --> 0:11:21.920
<v Speaker 8>So you know to the extent that tribes have opportunities

0:11:21.960 --> 0:11:25.440
<v Speaker 8>to operate sports books, which effectively Florida has the Seminole

0:11:25.480 --> 0:11:30.079
<v Speaker 8>Tribe operating operating hard rock betting site even though draftings

0:11:30.280 --> 0:11:32.920
<v Speaker 8>and or are not involved. So the tribes very much

0:11:33.000 --> 0:11:36.360
<v Speaker 8>will care to the extent that this is effectively a

0:11:36.400 --> 0:11:39.120
<v Speaker 8>competing product as consumers might perceive it.

0:11:39.960 --> 0:11:43.160
<v Speaker 2>So is betting just going crazy the total dollar amount.

0:11:43.600 --> 0:11:48.760
<v Speaker 2>I see kids, high school kids having conversations in detail,

0:11:49.040 --> 0:11:53.280
<v Speaker 2>showing a level of expertise which really blows me away.

0:11:53.480 --> 0:11:57.040
<v Speaker 2>Kids high school kids, and I don't know, it just

0:11:57.040 --> 0:11:58.240
<v Speaker 2>doesn't feel it's surprising.

0:11:58.280 --> 0:12:01.280
<v Speaker 8>And it's also gets very problem at when you have college.

0:12:01.000 --> 0:12:02.359
<v Speaker 5>Kids college games.

0:12:02.720 --> 0:12:06.480
<v Speaker 8>Yep, college players. So but yeah, there's a big national

0:12:06.559 --> 0:12:09.160
<v Speaker 8>draw to that draw to this, and I think the

0:12:09.200 --> 0:12:13.000
<v Speaker 8>real I don't think draftings of find will get as

0:12:13.400 --> 0:12:16.600
<v Speaker 8>affected as some might fear in states where they've got

0:12:16.640 --> 0:12:18.839
<v Speaker 8>a sports book, but in states where they can't operate

0:12:18.880 --> 0:12:22.559
<v Speaker 8>a sports book. But Kyle she and Robinhood and Polymarket

0:12:22.559 --> 0:12:25.320
<v Speaker 8>others whore offering prediction markets. That's where I think they

0:12:25.400 --> 0:12:28.520
<v Speaker 8>see risk as well as opportunity.

0:12:28.200 --> 0:12:31.600
<v Speaker 3>Are Thanks to Brian Egger, bi's senior Gaming and Lodging analyst,

0:12:31.800 --> 0:12:34.280
<v Speaker 3>coming up a look at Bloomberg Intelligence's outlook for North

0:12:34.280 --> 0:12:36.080
<v Speaker 3>American airlines in twenty twenty six.

0:12:36.280 --> 0:12:39.120
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:12:39.160 --> 0:12:41.280
<v Speaker 2>depth research and data on two thousand companies and one

0:12:41.360 --> 0:12:42.440
<v Speaker 2>hundred and thirty industries.

0:12:42.559 --> 0:12:45.600
<v Speaker 3>You can access Bloomberg Intelligence via BI go on the terminal.

0:12:45.679 --> 0:12:46.839
<v Speaker 3>I'm Scarlett Foo and.

0:12:46.800 --> 0:12:48.800
<v Speaker 2>I'm Paul Sweeney and this is Bloomberg.

0:12:53.720 --> 0:12:58.240
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:12:58.559 --> 0:13:00.079
<v Speaker 1>on Bloomberg Radio.

0:13:00.720 --> 0:13:03.559
<v Speaker 2>We move next to research Bloomberg Intelligence recently put out

0:13:03.559 --> 0:13:04.720
<v Speaker 2>on the floor Giant Nike.

0:13:04.920 --> 0:13:08.160
<v Speaker 3>According to BI, Nike's turnaround is beginning to take hold,

0:13:08.280 --> 0:13:11.560
<v Speaker 3>notably in North America, but China remains a challenge for more.

0:13:11.640 --> 0:13:14.160
<v Speaker 2>We were joined by Punam Goyle, senior US e Commerce

0:13:14.160 --> 0:13:16.000
<v Speaker 2>and retail analyst at Bloomberg Intelligence.

0:13:16.040 --> 0:13:18.520
<v Speaker 3>We began by asking Poonam to break down Bei's most

0:13:18.520 --> 0:13:19.280
<v Speaker 3>recent research.

0:13:19.840 --> 0:13:23.800
<v Speaker 9>Basically, we think that Nike turnaround is possible. We see

0:13:23.880 --> 0:13:26.600
<v Speaker 9>finally some light at the end of the tunnel. Their

0:13:26.679 --> 0:13:31.000
<v Speaker 9>North America business has improved and is going to improve

0:13:31.040 --> 0:13:35.720
<v Speaker 9>as they rationalize inventories. The issue still is China and

0:13:35.960 --> 0:13:39.760
<v Speaker 9>the struggle in China we don't think will end anytime soon.

0:13:40.320 --> 0:13:43.400
<v Speaker 9>In my mind, it's a one to two year turnaround.

0:13:43.840 --> 0:13:46.839
<v Speaker 9>But that said, if they can get everything else right,

0:13:46.920 --> 0:13:49.760
<v Speaker 9>which I think they are doing, and we'll get to

0:13:50.440 --> 0:13:53.040
<v Speaker 9>I do think that Nike's turnaround as well under way

0:13:53.200 --> 0:13:55.400
<v Speaker 9>and investors will begin to appreciate it.

0:13:55.880 --> 0:13:58.240
<v Speaker 3>So let's dig into the struggles in China. I mean,

0:13:58.240 --> 0:14:01.120
<v Speaker 3>you're talking about a long time frame here for things

0:14:01.200 --> 0:14:03.840
<v Speaker 3>to turn around. Is it just that Nike has lost

0:14:04.040 --> 0:14:08.360
<v Speaker 3>its appeal to the Chinese consumer? Is it competition that's

0:14:08.400 --> 0:14:11.040
<v Speaker 3>really stepped up in the last couple of years.

0:14:12.000 --> 0:14:15.160
<v Speaker 9>So it's a few things. Number One, Nike in the

0:14:15.280 --> 0:14:18.000
<v Speaker 9>US and other parts of the world is perceived as

0:14:18.440 --> 0:14:22.320
<v Speaker 9>a more affluent at leisure brand. In China, it is not.

0:14:22.880 --> 0:14:25.560
<v Speaker 9>What's been happening in China is that Nike has been

0:14:25.600 --> 0:14:30.040
<v Speaker 9>selling at a discount to clear inventory as the vicious

0:14:30.120 --> 0:14:34.080
<v Speaker 9>cycle of weaker sales has led to more discounting. So

0:14:34.120 --> 0:14:36.840
<v Speaker 9>it's more seen as an off price brand that needs

0:14:36.880 --> 0:14:39.320
<v Speaker 9>to change. They know that needs to change. I think

0:14:39.320 --> 0:14:42.040
<v Speaker 9>that's the first step in solving the problem. And I

0:14:42.080 --> 0:14:44.560
<v Speaker 9>think what they will do now and what they've said

0:14:44.600 --> 0:14:46.360
<v Speaker 9>that they do, and I do believe they will because

0:14:46.360 --> 0:14:48.360
<v Speaker 9>they did it in the US, is they will clean

0:14:48.400 --> 0:14:51.720
<v Speaker 9>out that aged inventory. But as we know, that will

0:14:51.720 --> 0:14:54.440
<v Speaker 9>take time. In the US alone, in the last year,

0:14:54.480 --> 0:14:57.640
<v Speaker 9>we've seen that it takes anywhere from twelve to eighteen months.

0:14:57.640 --> 0:15:00.320
<v Speaker 9>The US is finally in a place where in the

0:15:00.360 --> 0:15:03.360
<v Speaker 9>next three to six months they should be clean. So

0:15:03.480 --> 0:15:05.840
<v Speaker 9>which is why we think you'll take eighteen months. Once

0:15:05.880 --> 0:15:08.560
<v Speaker 9>they can do that, the new pipeline of products that

0:15:08.600 --> 0:15:12.160
<v Speaker 9>they're building, I do think will resonate with shoppers and

0:15:12.200 --> 0:15:14.800
<v Speaker 9>it will sell at full price. But once again, it's

0:15:14.800 --> 0:15:17.920
<v Speaker 9>an eighteen to twenty four month turnaround in China in my.

0:15:18.000 --> 0:15:21.000
<v Speaker 2>View, talk to us about you know, new product development

0:15:21.040 --> 0:15:24.160
<v Speaker 2>and new product introduction. Are there certain verticals that they're targeting,

0:15:24.200 --> 0:15:27.280
<v Speaker 2>whether it's running or lifestyle or you know, other types

0:15:27.320 --> 0:15:27.920
<v Speaker 2>of activities.

0:15:28.480 --> 0:15:31.280
<v Speaker 9>So running is a core category that they're focused on.

0:15:31.640 --> 0:15:35.080
<v Speaker 9>They have launched a new innovation in running. Running actually

0:15:35.080 --> 0:15:39.240
<v Speaker 9>with their new pipeline, has done very well in the US.

0:15:39.320 --> 0:15:42.720
<v Speaker 9>We saw that running was up nicely, whereas the rest

0:15:42.720 --> 0:15:45.400
<v Speaker 9>of the business was down slightly to up slightly depending

0:15:45.440 --> 0:15:47.240
<v Speaker 9>on the quarter that you look at over the last

0:15:47.600 --> 0:15:50.640
<v Speaker 9>twelve months. We also think that they're focused on sport.

0:15:50.960 --> 0:15:53.080
<v Speaker 9>So when you think about Nike and if you compare

0:15:53.080 --> 0:15:55.000
<v Speaker 9>it to audiit US, you know, I think there's a

0:15:55.040 --> 0:15:57.800
<v Speaker 9>big difference in the way that they're approaching their businesses,

0:15:57.840 --> 0:16:01.560
<v Speaker 9>which allows both of them to succeed. Nike is focused

0:16:01.640 --> 0:16:06.200
<v Speaker 9>solely and most importantly on sports and performance, whereas Adidas

0:16:06.360 --> 0:16:10.720
<v Speaker 9>has owned for the last few years the lifestyle category,

0:16:11.320 --> 0:16:14.120
<v Speaker 9>and I do think that Nike's focus on sports is

0:16:14.120 --> 0:16:16.200
<v Speaker 9>the right one and that is where they should be

0:16:16.240 --> 0:16:17.320
<v Speaker 9>to drive this turnaround.

0:16:17.880 --> 0:16:22.240
<v Speaker 3>What about TARIFFSNA terrafts is certainly something that affects Nike.

0:16:22.760 --> 0:16:25.080
<v Speaker 3>I know that Vietnam and the US is research trade deal.

0:16:25.160 --> 0:16:28.120
<v Speaker 3>Most of the footwear in this country is manufactured in Vietnam.

0:16:28.160 --> 0:16:31.000
<v Speaker 3>But how is Nike managing through this headwind?

0:16:31.840 --> 0:16:33.800
<v Speaker 9>So the headwind is here and it's here to stay.

0:16:34.160 --> 0:16:38.440
<v Speaker 9>Nike has to selectively increased prices to combat the tariff impact.

0:16:38.720 --> 0:16:42.640
<v Speaker 9>It's also negotiated supply relationships and found efficiencies internal. Just

0:16:42.680 --> 0:16:45.840
<v Speaker 9>like the rest of the space, Nike isn't alone in

0:16:45.880 --> 0:16:49.520
<v Speaker 9>the tariff situation. We do think that you know, tariffs

0:16:49.560 --> 0:16:53.000
<v Speaker 9>will continue to impact margin in twenty twenty six, as

0:16:53.040 --> 0:16:56.800
<v Speaker 9>well as the shift from DTC to wholesale. The wholesale

0:16:56.840 --> 0:16:59.480
<v Speaker 9>business is doing better and Nike is more focused on

0:16:59.520 --> 0:17:02.880
<v Speaker 9>it today because it had lost focus years ago, So

0:17:03.480 --> 0:17:07.000
<v Speaker 9>that mixshift is negative. That said, as more full price

0:17:07.040 --> 0:17:10.520
<v Speaker 9>selling takes hold, as we see signs of China improving

0:17:10.560 --> 0:17:13.560
<v Speaker 9>over the next twelve to eighteen months, those are both

0:17:13.960 --> 0:17:18.320
<v Speaker 9>areas where they can help to recover lost margin. Twenty

0:17:18.359 --> 0:17:21.280
<v Speaker 9>twenty six calendar is not a margin story for Nike,

0:17:21.400 --> 0:17:24.120
<v Speaker 9>It's a top line story. I think twenty twenty seven

0:17:24.160 --> 0:17:27.119
<v Speaker 9>is where we can start to talk about margin expansion.

0:17:27.600 --> 0:17:30.879
<v Speaker 2>Put on your discussions with Nike and other consumer products

0:17:30.920 --> 0:17:34.200
<v Speaker 2>makers and peril makers. What's the consensus today about the consumer?

0:17:35.400 --> 0:17:38.960
<v Speaker 9>The consumer is mixed. The luxury or the affluent consumer

0:17:39.000 --> 0:17:42.239
<v Speaker 9>is clearly doing better than the low income consumer. And

0:17:42.320 --> 0:17:45.160
<v Speaker 9>we do think the consumer will continue to make choices

0:17:45.200 --> 0:17:48.199
<v Speaker 9>and where they shop. But we think the consumer is

0:17:48.240 --> 0:17:51.239
<v Speaker 9>looking for fashion, it's looking for newness, it's looking for

0:17:51.280 --> 0:17:54.199
<v Speaker 9>what's hot in the market. And as long as brands

0:17:54.240 --> 0:17:58.119
<v Speaker 9>and retailers can be on trend, they will drive sales

0:17:58.160 --> 0:18:01.200
<v Speaker 9>of those products because that is where the consumer is shopping.

0:18:01.400 --> 0:18:02.400
<v Speaker 9>On trend product.

0:18:03.640 --> 0:18:09.680
<v Speaker 3>How much rope Oar investors willing to give Elliott Hill.

0:18:08.720 --> 0:18:10.760
<v Speaker 9>I mean, I think, like you do need to give

0:18:10.800 --> 0:18:13.240
<v Speaker 9>him another year. We need to give him six to

0:18:13.280 --> 0:18:17.840
<v Speaker 9>twelve months to start to see China inventory moderating and

0:18:17.880 --> 0:18:21.480
<v Speaker 9>the situation beginning to unfold for the rest of the world.

0:18:21.560 --> 0:18:25.520
<v Speaker 9>I think he's proven that things are becoming stable and

0:18:25.600 --> 0:18:28.880
<v Speaker 9>that they are on the uptick in twenty twenty six,

0:18:29.000 --> 0:18:31.240
<v Speaker 9>especially later in twenty twenty six our.

0:18:31.119 --> 0:18:34.080
<v Speaker 2>Thanks to Punamgoyle, senior US e Commerce and retail analyst

0:18:34.119 --> 0:18:35.200
<v Speaker 2>at Bloomberg Intelligence.

0:18:35.560 --> 0:18:37.960
<v Speaker 3>We move next to research that BI recently put out

0:18:37.960 --> 0:18:39.920
<v Speaker 3>on North American airlines in twenty twenty six.

0:18:40.080 --> 0:18:42.800
<v Speaker 2>According to BI, slowing capacity growth in the first quarter,

0:18:42.960 --> 0:18:46.119
<v Speaker 2>including cuts from some low cost carriers, looks set to

0:18:46.160 --> 0:18:49.200
<v Speaker 2>moderate airfare declines, but weaker economies of scale will likely

0:18:49.240 --> 0:18:50.880
<v Speaker 2>then gain any benefits to profits.

0:18:50.920 --> 0:18:53.840
<v Speaker 3>For more, we brought in George Ferguson, our senior Aerospace,

0:18:53.880 --> 0:18:55.119
<v Speaker 3>defense and airlines analyst.

0:18:55.320 --> 0:18:58.120
<v Speaker 2>We first asked George about how healthy the airline industry

0:18:58.240 --> 0:19:00.640
<v Speaker 2>is and what the outlook looks like for twenty twenty six.

0:19:01.000 --> 0:19:02.720
<v Speaker 10>Look, I think you know, as we get into twenty

0:19:02.720 --> 0:19:05.400
<v Speaker 10>twenty six, we're looking at schedules. We're seeing a lot

0:19:05.440 --> 0:19:07.960
<v Speaker 10>of the growth coming from the big full service carriers.

0:19:08.640 --> 0:19:11.679
<v Speaker 10>United especially continues to sort of pour on the gas

0:19:11.720 --> 0:19:14.119
<v Speaker 10>here and put a lot of capacity in the marketplace.

0:19:14.600 --> 0:19:16.919
<v Speaker 10>Delta a bit less than them, America even a bit

0:19:17.040 --> 0:19:20.560
<v Speaker 10>less than them. We're going to have a Southwest starting

0:19:20.600 --> 0:19:24.080
<v Speaker 10>to sell premium seats, and everybody's got a plan for

0:19:24.160 --> 0:19:26.480
<v Speaker 10>bringing more premium seats to the marketplace.

0:19:26.920 --> 0:19:29.760
<v Speaker 5>So you know, when we just look at the full service.

0:19:29.440 --> 0:19:33.320
<v Speaker 10>Carriers, we're going to see like three four percent seat

0:19:33.359 --> 0:19:36.080
<v Speaker 10>growth in the first half from those big full service carriers.

0:19:36.640 --> 0:19:40.080
<v Speaker 10>I think that means there's probably a risk premium seats

0:19:40.119 --> 0:19:43.000
<v Speaker 10>are going to start to feel some pressure on fares,

0:19:43.000 --> 0:19:45.679
<v Speaker 10>and that's been you know, the really big driver of

0:19:45.720 --> 0:19:49.359
<v Speaker 10>this business, especially for those big full service carriers, has

0:19:49.359 --> 0:19:53.320
<v Speaker 10>been driving their profitability on the on the you know,

0:19:53.560 --> 0:19:58.399
<v Speaker 10>economy end. We're seeing spirit airlines there sort of between

0:19:58.440 --> 0:20:00.159
<v Speaker 10>this world and that world a little bit, which to

0:20:00.160 --> 0:20:02.680
<v Speaker 10>figure out if they're going to survive, might get bought

0:20:02.680 --> 0:20:05.960
<v Speaker 10>by frontier. They've dropped a bunch of airplanes. We're seeing

0:20:05.960 --> 0:20:09.320
<v Speaker 10>some of these carriers cut capacity because of weakness in

0:20:09.359 --> 0:20:13.080
<v Speaker 10>those seat prices. So I think we'll start to see

0:20:13.240 --> 0:20:16.159
<v Speaker 10>at least some you know firming up of that of

0:20:16.200 --> 0:20:19.080
<v Speaker 10>that basic economy as the market tries to get that

0:20:19.160 --> 0:20:19.840
<v Speaker 10>back in balance.

0:20:19.840 --> 0:20:21.040
<v Speaker 5>So I think that's what we're going to see in

0:20:21.160 --> 0:20:22.120
<v Speaker 5>first half of the new year.

0:20:22.280 --> 0:20:24.040
<v Speaker 3>So it sounds like there's gonna be a surplus of

0:20:24.080 --> 0:20:27.360
<v Speaker 3>those premium seats and then that leaves big empty hole

0:20:27.400 --> 0:20:28.520
<v Speaker 3>here for the frontiers.

0:20:28.520 --> 0:20:29.200
<v Speaker 7>And the spirits.

0:20:29.600 --> 0:20:32.359
<v Speaker 3>Are they going to be forced to offer also some

0:20:32.520 --> 0:20:35.800
<v Speaker 3>kind of premium version of what they currently have unoffer.

0:20:36.720 --> 0:20:37.119
<v Speaker 5>I don't know.

0:20:37.240 --> 0:20:39.440
<v Speaker 10>I mean, I think everybody's trying to figure out a

0:20:39.480 --> 0:20:42.160
<v Speaker 10>way to get more premium in their airplane. They're they're

0:20:42.160 --> 0:20:44.920
<v Speaker 10>not you know, they're not forced, but they want they

0:20:44.960 --> 0:20:48.200
<v Speaker 10>want that premium travel that's gonna just keep flying through,

0:20:48.680 --> 0:20:51.480
<v Speaker 10>you know, through good and bad economic times and not

0:20:51.560 --> 0:20:53.840
<v Speaker 10>have the challenges of inflation on their budget and things

0:20:53.920 --> 0:20:56.000
<v Speaker 10>like that. So I don't know if they're forced, but

0:20:56.040 --> 0:20:59.760
<v Speaker 10>we're we're definitely seeing all of them look at ways

0:20:59.800 --> 0:21:01.879
<v Speaker 10>to increase the price they can get the customer to

0:21:01.880 --> 0:21:04.240
<v Speaker 10>pay for a seat, whether it's block a middle seat,

0:21:04.280 --> 0:21:06.400
<v Speaker 10>you know, so it might be three by three kind

0:21:06.440 --> 0:21:06.960
<v Speaker 10>of airplane.

0:21:06.960 --> 0:21:08.240
<v Speaker 5>They might block the middle seat.

0:21:08.520 --> 0:21:11.400
<v Speaker 10>Some of them are talking about putting, you know, more

0:21:11.440 --> 0:21:13.840
<v Speaker 10>reclined and nicer seats in the front of the airplane.

0:21:14.080 --> 0:21:17.119
<v Speaker 5>So everybody, I think everybody.

0:21:16.480 --> 0:21:19.439
<v Speaker 10>Has a plan for how to get more premium in

0:21:19.480 --> 0:21:22.520
<v Speaker 10>their airplane. And again that's going to mean like everything

0:21:22.520 --> 0:21:25.159
<v Speaker 10>in the airline business will get off sides on premium

0:21:25.480 --> 0:21:28.159
<v Speaker 10>before it's all done. I think it begins in the

0:21:28.160 --> 0:21:31.040
<v Speaker 10>first half. I don't think premium seat prices are going

0:21:31.080 --> 0:21:32.720
<v Speaker 10>to create Unfortunately, we're not gonna be able to go

0:21:32.760 --> 0:21:35.320
<v Speaker 10>anywhere really super cheap fly in front of the airplane

0:21:35.359 --> 0:21:37.400
<v Speaker 10>in the first half of but I don't think it'd

0:21:37.440 --> 0:21:38.040
<v Speaker 10>be as good as.

0:21:37.920 --> 0:21:39.160
<v Speaker 5>It was in twenty twenty five.

0:21:39.560 --> 0:21:42.480
<v Speaker 2>Wages, that's a big cost component for these airlines. I

0:21:42.480 --> 0:21:45.520
<v Speaker 2>want my pilots happy. I want them feeling like they're

0:21:45.800 --> 0:21:49.080
<v Speaker 2>well paid. Talk to those about the wage the dynamic in

0:21:49.119 --> 0:21:49.880
<v Speaker 2>the industry.

0:21:50.440 --> 0:21:52.840
<v Speaker 10>Yeah, I mean, look, you know, we still see you know,

0:21:53.040 --> 0:21:54.800
<v Speaker 10>I don't know that I want to call it a shortage,

0:21:54.840 --> 0:21:58.320
<v Speaker 10>but you know, it's a difficult balance between the number

0:21:58.320 --> 0:22:01.320
<v Speaker 10>of pilots out there and what's needed by the airlines

0:22:02.080 --> 0:22:05.520
<v Speaker 10>and the you know, the number of people coming into

0:22:05.520 --> 0:22:09.440
<v Speaker 10>the industry and getting air transport licenses and things like that,

0:22:09.800 --> 0:22:12.960
<v Speaker 10>and so the pilots are still decently paid. You know,

0:22:13.000 --> 0:22:17.040
<v Speaker 10>they came off years decades ago. They just had many,

0:22:17.080 --> 0:22:17.920
<v Speaker 10>many bad years.

0:22:17.960 --> 0:22:19.040
<v Speaker 5>There was a surplus of them.

0:22:19.440 --> 0:22:21.480
<v Speaker 10>So they've been catching up and they got these twenty

0:22:21.520 --> 0:22:24.840
<v Speaker 10>percent increases in the last couple of contracts. And in

0:22:24.880 --> 0:22:27.040
<v Speaker 10>the last contract we saw a twenty percent increase and

0:22:27.080 --> 0:22:29.879
<v Speaker 10>then a four percent, five percent so actually it was

0:22:29.880 --> 0:22:32.240
<v Speaker 10>a couple, it was a five and a couple of fours.

0:22:32.640 --> 0:22:37.439
<v Speaker 10>But four percent salary gains increases, they're pretty nice in

0:22:37.440 --> 0:22:40.880
<v Speaker 10>this economy. And the airlines really can't afford that kind

0:22:40.920 --> 0:22:43.159
<v Speaker 10>of inflation in their cost base. The pilots are a

0:22:43.160 --> 0:22:45.520
<v Speaker 10>big part of it, and so they keep rolling out

0:22:45.520 --> 0:22:47.360
<v Speaker 10>bigger airplanes.

0:22:46.960 --> 0:22:48.680
<v Speaker 5>And that's another challenge in the marketplace.

0:22:48.760 --> 0:22:51.560
<v Speaker 10>Right as you put a bigger airplane behind the pilot

0:22:51.600 --> 0:22:54.600
<v Speaker 10>so you could defray their costs over more seats, you

0:22:54.680 --> 0:22:57.000
<v Speaker 10>got to fly all those seats into these markets, and

0:22:57.359 --> 0:23:00.520
<v Speaker 10>sometimes you're discounting more to fill the airplane. So that's

0:23:00.560 --> 0:23:04.600
<v Speaker 10>a challenge and continues in the new year. We think

0:23:04.640 --> 0:23:08.440
<v Speaker 10>the airlines would be managing cost inflation there and maintenance

0:23:08.480 --> 0:23:09.560
<v Speaker 10>and gates everywhere.

0:23:09.880 --> 0:23:12.359
<v Speaker 3>So wagers a big part of the airlines. Costs the

0:23:12.400 --> 0:23:16.000
<v Speaker 3>biggest part, but then fuel is the second biggest, or

0:23:16.000 --> 0:23:18.960
<v Speaker 3>it can be. And Jeff, fuel has actually come down

0:23:19.000 --> 0:23:21.720
<v Speaker 3>in twenty twenty five. Is that going to continue to

0:23:21.760 --> 0:23:23.600
<v Speaker 3>be a tailwind in twenty twenty six.

0:23:24.160 --> 0:23:26.360
<v Speaker 10>So you know, we kind of we looked at it recently,

0:23:26.480 --> 0:23:29.440
<v Speaker 10>put it out on the Bloomberg Terminal BI Space AI RLN.

0:23:29.480 --> 0:23:32.720
<v Speaker 10>We did some scenario analysis on this look. I have

0:23:32.720 --> 0:23:36.800
<v Speaker 10>a hard time seeing fuel prices dip significantly lower than here.

0:23:36.880 --> 0:23:40.280
<v Speaker 5>But I am no oil man. Right. If I was,

0:23:40.320 --> 0:23:41.960
<v Speaker 5>i'd own a football team, But.

0:23:42.920 --> 0:23:45.680
<v Speaker 10>I'm not oil man. I don't necessarily where those prices

0:23:45.680 --> 0:23:46.959
<v Speaker 10>are going. All I can tell you is if they

0:23:47.000 --> 0:23:49.760
<v Speaker 10>stick around two dollars, the airlines will get.

0:23:50.080 --> 0:23:51.800
<v Speaker 5>Airlines had a nice tailwind.

0:23:51.440 --> 0:23:54.920
<v Speaker 10>From fuel are as fuel prices fell, it buffered their margins.

0:23:55.640 --> 0:23:57.520
<v Speaker 10>If they stick around two dollars, they probably get a

0:23:57.520 --> 0:24:01.000
<v Speaker 10>bit of a tailwind in the first core, but they're

0:24:01.080 --> 0:24:02.879
<v Speaker 10>not going to get a lot of gains from fuel

0:24:03.240 --> 0:24:05.080
<v Speaker 10>that's not going to buffer their margins.

0:24:05.680 --> 0:24:08.560
<v Speaker 2>Did the airlines hedge their fuel exposure, because boy, I

0:24:08.560 --> 0:24:11.240
<v Speaker 2>think I'd be hedging right here if I were CFO.

0:24:12.400 --> 0:24:13.040
<v Speaker 5>Not anymore.

0:24:13.280 --> 0:24:16.000
<v Speaker 10>I think every so often they surprise you and so

0:24:16.240 --> 0:24:17.760
<v Speaker 10>I hear what you're saying, Like, you know, you could

0:24:17.800 --> 0:24:20.600
<v Speaker 10>see one of those crazy CFOs out there, going, hey,

0:24:20.600 --> 0:24:22.960
<v Speaker 10>we might as well edge here, could be as good

0:24:23.000 --> 0:24:25.400
<v Speaker 10>as we get. We saw Southwest do that a number

0:24:25.400 --> 0:24:28.040
<v Speaker 10>of times in their history and win big. But for

0:24:28.080 --> 0:24:31.320
<v Speaker 10>the most part recently, what we've seen is almost the

0:24:31.520 --> 0:24:35.520
<v Speaker 10>entire field does not hedge fuel prices anymore. If you

0:24:35.560 --> 0:24:38.040
<v Speaker 10>think about it, they kind of sell tickets out six

0:24:38.240 --> 0:24:40.480
<v Speaker 10>eight weeks, so they have sort of a future commitment

0:24:40.800 --> 0:24:44.879
<v Speaker 10>for fuel prices out that far. If fuel prices rise dramatically,

0:24:44.880 --> 0:24:48.359
<v Speaker 10>I think everybody in the marketplace adjusts fares fairly quickly

0:24:48.400 --> 0:24:49.560
<v Speaker 10>because they're not edged.

0:24:49.920 --> 0:24:51.760
<v Speaker 5>And so I think you know, when they look.

0:24:51.640 --> 0:24:55.359
<v Speaker 10>At the pack that they're flying in, maybe the airlines,

0:24:55.440 --> 0:24:57.320
<v Speaker 10>they think no one else hedging fuel.

0:24:57.640 --> 0:24:59.120
<v Speaker 5>I'm not going to run the risk to be wrong

0:24:59.160 --> 0:24:59.639
<v Speaker 5>in a hedge.

0:25:00.080 --> 0:25:03.280
<v Speaker 3>Stay onhead our thanks to George Ferguson, our in house

0:25:03.359 --> 0:25:07.280
<v Speaker 3>senior aerospace, defense and Airlines analyst. Coming up, we continue

0:25:07.280 --> 0:25:09.320
<v Speaker 3>with travel and look at how cruise lines may fare

0:25:09.320 --> 0:25:10.640
<v Speaker 3>against theme parks next year.

0:25:10.760 --> 0:25:13.480
<v Speaker 2>You're listening to Bloomberg Intelligence on Bloomberg Radio for riding

0:25:13.520 --> 0:25:15.639
<v Speaker 2>in depth research and data on two thousand companies and

0:25:15.640 --> 0:25:16.880
<v Speaker 2>one hundred and thirty industries.

0:25:16.920 --> 0:25:19.800
<v Speaker 3>You can access Bloomberg Intelligence through Bigo on the terminal.

0:25:19.880 --> 0:25:21.000
<v Speaker 3>I'm Scarlett Foo and.

0:25:20.960 --> 0:25:26.320
<v Speaker 2>I'm Paul Sweeney, and this is Bloomberg.

0:25:30.280 --> 0:25:34.800
<v Speaker 1>This is Bloomberg Intelligence with Scarlet Foo and Paul Sweeney

0:25:35.119 --> 0:25:36.439
<v Speaker 1>on Bloomberg Radio.

0:25:37.280 --> 0:25:39.919
<v Speaker 2>Move next to research Bloomberg Intelligence recently put out on

0:25:40.000 --> 0:25:42.160
<v Speaker 2>cruise lines versus them parks in twenty twenty six.

0:25:42.240 --> 0:25:45.120
<v Speaker 3>According to BI six Flags and United parks may see

0:25:45.160 --> 0:25:47.679
<v Speaker 3>more customer visits this year, but this may not equate

0:25:47.720 --> 0:25:48.600
<v Speaker 3>to in park spending.

0:25:48.880 --> 0:25:52.000
<v Speaker 2>Cruise line customers, by comparison, are booking longer trips. Further

0:25:52.080 --> 0:25:53.960
<v Speaker 2>in advance for more on all of this, we were

0:25:54.000 --> 0:25:56.600
<v Speaker 2>joined by Jody Lorie Bloomberg, intelligence credit analyst.

0:25:56.800 --> 0:25:59.359
<v Speaker 3>We began by asking Jody to give us an analysis

0:25:59.400 --> 0:26:00.640
<v Speaker 3>on how cruises are performing.

0:26:01.280 --> 0:26:04.000
<v Speaker 11>So, the cruise lines always have a dedicated base, but

0:26:04.280 --> 0:26:06.479
<v Speaker 11>cruising is sort of interesting because it's only two percent

0:26:07.040 --> 0:26:09.639
<v Speaker 11>of the travel industry. It really is such a small

0:26:09.720 --> 0:26:13.080
<v Speaker 11>portion of it. Where we've been watching is for those

0:26:13.119 --> 0:26:15.480
<v Speaker 11>new Dow cruisers, which I don't know if I'm necessarily

0:26:15.520 --> 0:26:19.760
<v Speaker 11>convinced that they're going as often or they're attracting the

0:26:19.800 --> 0:26:22.919
<v Speaker 11>new cruisers, but the cruisers are still very much cruising

0:26:23.160 --> 0:26:25.080
<v Speaker 11>and they're spending more than the average consumer.

0:26:25.920 --> 0:26:28.800
<v Speaker 3>They're also spending more than the people who go to

0:26:28.960 --> 0:26:32.800
<v Speaker 3>theme parks, according to your research, and partly that might

0:26:32.840 --> 0:26:35.639
<v Speaker 3>be because the cruise line industry attracts a different kind

0:26:35.680 --> 0:26:39.040
<v Speaker 3>of customer than the theme park industry, theme.

0:26:38.880 --> 0:26:41.040
<v Speaker 7>Parks, skews younger cruises, skew.

0:26:40.920 --> 0:26:44.760
<v Speaker 3>Older easy, Which would you prefer if you are an operator?

0:26:44.760 --> 0:26:46.280
<v Speaker 7>Which would you prefer if you're an investor.

0:26:48.119 --> 0:26:50.960
<v Speaker 11>So we don't make full recommendations, but I will tell

0:26:51.000 --> 0:26:53.359
<v Speaker 11>you a couple of things based on our research findings.

0:26:53.560 --> 0:26:54.400
<v Speaker 9>So first of.

0:26:54.359 --> 0:26:57.680
<v Speaker 11>All, you have to think about how people book cruising

0:26:57.840 --> 0:26:59.439
<v Speaker 11>versus how they book theme parks.

0:27:00.040 --> 0:27:01.760
<v Speaker 7>When you're talking about cruises.

0:27:01.359 --> 0:27:03.359
<v Speaker 11>They book far in advance, they book a year or

0:27:03.359 --> 0:27:05.679
<v Speaker 11>two well in advance. And what the cruise lines have

0:27:05.720 --> 0:27:08.639
<v Speaker 11>been doing, particularly post pandemic, is they've been locking people

0:27:08.680 --> 0:27:12.080
<v Speaker 11>in on the drink packages, on the experiences. They've been

0:27:12.080 --> 0:27:15.679
<v Speaker 11>giving these steal of deals excursion ideas, and when you

0:27:15.720 --> 0:27:19.000
<v Speaker 11>get on the boat, it's more expensive. So people say, Okay,

0:27:19.040 --> 0:27:20.879
<v Speaker 11>I'm going to book my cruise, but I'm also going

0:27:20.920 --> 0:27:23.479
<v Speaker 11>to book the snorkeling and I'm gonna book this. I'm

0:27:23.480 --> 0:27:25.200
<v Speaker 11>going to book that, the ones that I definitely want

0:27:25.240 --> 0:27:27.879
<v Speaker 11>to do. They also book the drink packages, which you know,

0:27:27.920 --> 0:27:30.080
<v Speaker 11>I think you can go either way on that personally,

0:27:30.240 --> 0:27:32.600
<v Speaker 11>because I don't think I drink enough, but maybe other

0:27:32.640 --> 0:27:35.919
<v Speaker 11>people do, and it really sort of just helps their

0:27:35.960 --> 0:27:40.000
<v Speaker 11>cash flows Now theme parks people book much later. They

0:27:40.040 --> 0:27:44.160
<v Speaker 11>are younger, they are lower income than the US median household.

0:27:44.760 --> 0:27:47.600
<v Speaker 11>And the key for them is they can get people

0:27:47.680 --> 0:27:49.879
<v Speaker 11>in the door. They can get them with season passes,

0:27:49.960 --> 0:27:51.600
<v Speaker 11>or they can just get them for the one day pass.

0:27:51.840 --> 0:27:54.440
<v Speaker 11>But they're not necessarily convincing them to spend in park

0:27:54.480 --> 0:27:54.920
<v Speaker 11>the same way.

0:27:54.960 --> 0:27:56.600
<v Speaker 7>But there's higher volume in theme park.

0:27:56.680 --> 0:27:59.120
<v Speaker 11>Right, there's pretty high volume in theme parks. But if

0:27:59.160 --> 0:28:01.960
<v Speaker 11>they're just paying for the admission, it might not necessarily

0:28:02.040 --> 0:28:05.119
<v Speaker 11>cover the costs per se. Right, They'll get in the door,

0:28:05.480 --> 0:28:08.240
<v Speaker 11>but they have high capex. They have high just high

0:28:08.280 --> 0:28:10.240
<v Speaker 11>costs in general, and they have all the employees that

0:28:10.240 --> 0:28:11.000
<v Speaker 11>they're paying for.

0:28:11.480 --> 0:28:14.159
<v Speaker 2>Six Flags, that's a theme park that got some local

0:28:14.320 --> 0:28:18.920
<v Speaker 2>Jersey flavor. Here six lags Great Adventure. How's the capital

0:28:18.960 --> 0:28:20.600
<v Speaker 2>structure for these theme parks?

0:28:21.000 --> 0:28:24.280
<v Speaker 11>They are high capex, so high capital intensive companies.

0:28:24.320 --> 0:28:27.720
<v Speaker 7>They have high level right, exactly.

0:28:27.400 --> 0:28:30.159
<v Speaker 11>And similar to cruise lines. So where we sort of

0:28:30.160 --> 0:28:32.520
<v Speaker 11>see it interesting is theme parks and cruise lines are

0:28:32.560 --> 0:28:36.240
<v Speaker 11>constantly they have to get the new experience in, right,

0:28:36.320 --> 0:28:39.440
<v Speaker 11>so they have to spend not just on maintaining their products,

0:28:39.440 --> 0:28:42.280
<v Speaker 11>so not not just maintaining the ship or maintaining the ride.

0:28:42.560 --> 0:28:45.160
<v Speaker 11>They also have to get new ones in so people say,

0:28:45.200 --> 0:28:46.320
<v Speaker 11>I want to go to a Great Adventure because I

0:28:46.360 --> 0:28:49.120
<v Speaker 11>want to ride Superman, right, So they they do this

0:28:49.280 --> 0:28:52.520
<v Speaker 11>to get people excited, draw them in so that they're going.

0:28:52.560 --> 0:28:54.920
<v Speaker 11>I mean, you know, the biggest example that we don't cover.

0:28:55.000 --> 0:28:58.400
<v Speaker 11>I don't cover Universal or Comcast, but you know, Universal's

0:28:58.440 --> 0:29:00.840
<v Speaker 11>new theme park was a big drive to Florida. It

0:29:00.920 --> 0:29:04.000
<v Speaker 11>wasn't as big as expected necessarily, but it's still pretty big.

0:29:04.200 --> 0:29:05.920
<v Speaker 11>Now if you're talking about the regional theme parks is

0:29:05.960 --> 0:29:10.520
<v Speaker 11>a little bit more difficult because people aren't necessarily planning

0:29:10.560 --> 0:29:13.280
<v Speaker 11>these long term vacations around Great Adventure.

0:29:14.480 --> 0:29:19.320
<v Speaker 3>Do the theme parks attract more domestic consumers than the cruises?

0:29:19.360 --> 0:29:22.720
<v Speaker 3>I mean, I'm just curious in terms of the sustainability

0:29:22.720 --> 0:29:24.480
<v Speaker 3>and the stability of your customer base.

0:29:24.920 --> 0:29:27.680
<v Speaker 11>So it depends on the brand. Because if you look

0:29:27.840 --> 0:29:31.640
<v Speaker 11>pre pandemic and now going into a few years post pandemic,

0:29:31.960 --> 0:29:35.280
<v Speaker 11>the cruise lines they segment so Norwegian most of their

0:29:35.280 --> 0:29:38.560
<v Speaker 11>customer bases US their US customers. When you get to

0:29:38.680 --> 0:29:40.760
<v Speaker 11>Royal Caribbean, it's a little bit less. It's about so

0:29:40.800 --> 0:29:42.719
<v Speaker 11>I think it's about eighty percent for Norwegian. I'm doing

0:29:42.760 --> 0:29:45.040
<v Speaker 11>this off the top of my head memory, but eighty

0:29:45.040 --> 0:29:47.760
<v Speaker 11>percent Norwegian. You get to about it's like seventy or

0:29:47.800 --> 0:29:50.160
<v Speaker 11>sixty five for Royal, and then you get to Carnival

0:29:50.160 --> 0:29:51.280
<v Speaker 11>and it's even less than that.

0:29:51.320 --> 0:29:52.320
<v Speaker 7>It's closer to half.

0:29:52.360 --> 0:29:56.520
<v Speaker 11>It's not quite half that are US versus international. They

0:29:56.520 --> 0:29:59.360
<v Speaker 11>have a much larger international presence. Brian Egger and I

0:29:59.360 --> 0:30:02.560
<v Speaker 11>my Equit account park. We were on the Aida, which

0:30:02.600 --> 0:30:05.120
<v Speaker 11>is one of the one of their brands that they

0:30:05.200 --> 0:30:09.680
<v Speaker 11>market to international customers, specifically in Germany, and it was

0:30:09.800 --> 0:30:12.840
<v Speaker 11>a one hundred and thirty three round.

0:30:12.600 --> 0:30:14.400
<v Speaker 7>The world cruise.

0:30:14.760 --> 0:30:17.320
<v Speaker 11>Nice they were stopping in New York for the day,

0:30:17.600 --> 0:30:19.600
<v Speaker 11>and they brought a bunch of US on, a bunch

0:30:19.640 --> 0:30:22.600
<v Speaker 11>of US equity and credit nerds, and took us around

0:30:22.640 --> 0:30:25.880
<v Speaker 11>the ship and everything was in German, as expected because

0:30:25.920 --> 0:30:28.800
<v Speaker 11>most of their customers were German. So that's Carnival has

0:30:28.840 --> 0:30:31.560
<v Speaker 11>a much more diversified customer base if you talk about

0:30:31.600 --> 0:30:35.320
<v Speaker 11>theme parks, SeaWorld or United Parks as they go by now.

0:30:35.720 --> 0:30:38.640
<v Speaker 11>Their Florida parks, which make up about half their revenue,

0:30:39.080 --> 0:30:43.360
<v Speaker 11>is international about ten twenty percent. But when you get

0:30:43.440 --> 0:30:44.120
<v Speaker 11>to six flags.

0:30:44.120 --> 0:30:45.080
<v Speaker 7>It's much more domestic.

0:30:45.520 --> 0:30:49.120
<v Speaker 2>We were off the Amafi coast last fall, oh fancy,

0:30:49.600 --> 0:30:52.440
<v Speaker 2>and I saw this big yacht thats like either navy

0:30:52.480 --> 0:30:54.480
<v Speaker 2>blue or black, and I said, what is who owns that?

0:30:54.840 --> 0:30:58.880
<v Speaker 2>It's the rich Carlton Ritz Carlton. Yes, actually on it

0:30:59.000 --> 0:30:59.600
<v Speaker 2>just parked.

0:30:59.360 --> 0:31:01.520
<v Speaker 7>In those are though, I mean in terms of the

0:31:02.400 --> 0:31:05.400
<v Speaker 7>five hundred people, Yeah, I mean that looked pretty cool.

0:31:05.480 --> 0:31:08.960
<v Speaker 11>Yeah, that's for the people who want to be on

0:31:09.040 --> 0:31:12.160
<v Speaker 11>a luxury yacht but don't want to actually own a

0:31:12.240 --> 0:31:12.760
<v Speaker 11>luxury yacht.

0:31:12.880 --> 0:31:13.080
<v Speaker 5>Right.

0:31:13.240 --> 0:31:14.920
<v Speaker 7>The joke about boats is.

0:31:14.800 --> 0:31:17.120
<v Speaker 11>Bring on another thousand, Right. My mother in law likes

0:31:17.160 --> 0:31:20.080
<v Speaker 11>to always say that, and that's why it's called boat.

0:31:20.280 --> 0:31:24.720
<v Speaker 11>So but the uh, you know, the thing about cruising

0:31:24.960 --> 0:31:28.560
<v Speaker 11>is that there's a perception about who the typical cruiser is. Right,

0:31:28.840 --> 0:31:32.680
<v Speaker 11>it's the you know, older people who are retired, who

0:31:32.760 --> 0:31:35.560
<v Speaker 11>likes who like to bring basically the cat skills on

0:31:35.600 --> 0:31:39.000
<v Speaker 11>the water. But really, I mean it's changed over time.

0:31:39.040 --> 0:31:41.959
<v Speaker 11>And what's interesting about our credit research and our travel

0:31:41.960 --> 0:31:44.920
<v Speaker 11>survey that we do every half a year is we're

0:31:44.960 --> 0:31:47.160
<v Speaker 11>seeing that it's actually really really spread out. If you

0:31:47.160 --> 0:31:50.680
<v Speaker 11>look into the buckets that we've segmented, it's really, you know,

0:31:50.720 --> 0:31:52.640
<v Speaker 11>it's one third of each, so it's one third eighteen

0:31:52.680 --> 0:31:55.520
<v Speaker 11>to thirty four year old one third that like middle

0:31:55.520 --> 0:31:57.600
<v Speaker 11>aged group and fifty five and older one third, So

0:31:57.640 --> 0:32:00.800
<v Speaker 11>it's really not specifically the old yea our.

0:32:00.720 --> 0:32:03.200
<v Speaker 2>Thanks to Jerdy Lourie Bloomberg Intelligence Credit Analysts.

0:32:03.400 --> 0:32:06.320
<v Speaker 3>We move next to research that Bloomberg Intelligence recently published

0:32:06.320 --> 0:32:08.920
<v Speaker 3>on the cloud computing platform Amazon Web Services.

0:32:09.120 --> 0:32:12.160
<v Speaker 2>According to BIAWS, sales can improve in twenty twenty six

0:32:12.160 --> 0:32:14.840
<v Speaker 2>by twenty two point five percent in constant currency or

0:32:14.840 --> 0:32:16.680
<v Speaker 2>two hundred basis points above consensus.

0:32:16.840 --> 0:32:19.680
<v Speaker 3>This would be aided by widening enterprise AI adoption and

0:32:19.760 --> 0:32:23.160
<v Speaker 3>more data center capacity coming online. A potential ten billion

0:32:23.200 --> 0:32:26.880
<v Speaker 3>dollars investment in open AI could also be another sales catalyst,

0:32:27.080 --> 0:32:29.960
<v Speaker 3>assuming it comes with more cloud infrastructure commitments for.

0:32:29.960 --> 0:32:31.880
<v Speaker 2>More and all. This I was joined by anurag Rana,

0:32:31.880 --> 0:32:35.600
<v Speaker 2>Bloomberg Intelligence technology analyst. First asked ONNAROG where we are

0:32:35.680 --> 0:32:37.600
<v Speaker 2>in the growth trajectory of AWS.

0:32:37.800 --> 0:32:40.320
<v Speaker 12>When you look at DAWs, you know one of the

0:32:40.440 --> 0:32:42.760
<v Speaker 12>narratives of what the law studios has been that they

0:32:42.760 --> 0:32:45.520
<v Speaker 12>have been laggered in AI and large portion of data

0:32:45.520 --> 0:32:49.880
<v Speaker 12>is beco's chagpt before the contract changed with Microsoft was

0:32:49.920 --> 0:32:54.960
<v Speaker 12>only hosted on Microsoft azured. As the capacity constraints started,

0:32:55.440 --> 0:32:59.160
<v Speaker 12>Microsoft farmed outside some of that business to COVI even

0:32:59.160 --> 0:33:03.000
<v Speaker 12>then Auticle and so fourth. But in the most recent agreement,

0:33:03.200 --> 0:33:05.280
<v Speaker 12>you know, you can see that chat GPD can be

0:33:05.320 --> 0:33:08.120
<v Speaker 12>hosted in other cloud providers. So that's one area to

0:33:08.200 --> 0:33:12.000
<v Speaker 12>focus on. But the big thing for AWS is it's

0:33:12.040 --> 0:33:15.800
<v Speaker 12>an enterprise business. It's not so much a consumer chat operate.

0:33:16.240 --> 0:33:18.760
<v Speaker 12>So this is the year where we think that thing

0:33:18.840 --> 0:33:22.320
<v Speaker 12>kicks off. And what we are thinking is the growth

0:33:22.400 --> 0:33:26.720
<v Speaker 12>rate for AWS improves successively every quarter going into the

0:33:26.720 --> 0:33:27.360
<v Speaker 12>the end of the year.

0:33:27.760 --> 0:33:30.880
<v Speaker 2>Has Amazon invested in open ai or any of that

0:33:30.920 --> 0:33:32.600
<v Speaker 2>type of thing? Is that are they part of those

0:33:32.760 --> 0:33:34.640
<v Speaker 2>what people refer to as circular deals.

0:33:35.800 --> 0:33:38.760
<v Speaker 12>So Amazon is not directly invested in open Ai. They

0:33:38.840 --> 0:33:41.200
<v Speaker 12>have a new contract with them right now. They have

0:33:41.280 --> 0:33:44.080
<v Speaker 12>invested in Anthropic, So that's an area where you know,

0:33:44.080 --> 0:33:47.600
<v Speaker 12>when you are partnering with the second largest LM provider.

0:33:47.800 --> 0:33:49.960
<v Speaker 12>I mean, I'm not counting Google because that's it's part

0:33:49.960 --> 0:33:53.320
<v Speaker 12>of a big conglomerate, but a pure play you know, vendor,

0:33:53.360 --> 0:33:55.720
<v Speaker 12>which is Anthropic. So they have invested in that, They

0:33:55.840 --> 0:33:59.160
<v Speaker 12>partnered with them and we think that actually workloads also

0:33:59.560 --> 0:34:02.360
<v Speaker 12>go up. We recently did an AI survey and part

0:34:02.400 --> 0:34:05.320
<v Speaker 12>of what we've found out was software companies are using

0:34:05.360 --> 0:34:08.160
<v Speaker 12>anthropic more and more, mostly for the coding reasons. And

0:34:08.239 --> 0:34:11.040
<v Speaker 12>I think if that ACCEL rates, that actually helps out

0:34:11.120 --> 0:34:14.080
<v Speaker 12>Amazon as well because some of those workloads do get

0:34:14.160 --> 0:34:17.640
<v Speaker 12>up to AWS. The big part of the AWS story

0:34:17.719 --> 0:34:20.400
<v Speaker 12>is it is the largest cloud provider. So the successive

0:34:20.440 --> 0:34:23.640
<v Speaker 12>growth rate or to see a big number jump over there,

0:34:23.840 --> 0:34:27.239
<v Speaker 12>unlike a Google, you know that has the delta is

0:34:27.320 --> 0:34:29.840
<v Speaker 12>huge or the growth rates are not the same. But

0:34:29.960 --> 0:34:33.200
<v Speaker 12>what we think this year some of those enterprise workloads

0:34:33.520 --> 0:34:36.760
<v Speaker 12>start to flow in as more their capacity comes online.

0:34:36.800 --> 0:34:39.680
<v Speaker 12>They have invested heavily in data centers and some of

0:34:39.680 --> 0:34:42.960
<v Speaker 12>that actually shows up this year and that we think

0:34:43.040 --> 0:34:45.880
<v Speaker 12>is going to help us help them improve their growth rates.

0:34:46.000 --> 0:34:48.359
<v Speaker 2>So from a competitive landscape position, how do you think

0:34:48.400 --> 0:34:50.520
<v Speaker 2>of AWS in the AI space?

0:34:50.960 --> 0:34:53.480
<v Speaker 12>Yeah, so when you look at the traditional space, there

0:34:53.520 --> 0:34:55.399
<v Speaker 12>quick clear leader. But when you look at the AI

0:34:55.520 --> 0:34:59.279
<v Speaker 12>infrastructure space, that lead is starting with Microsoft because they

0:34:59.320 --> 0:35:02.000
<v Speaker 12>got chat cheap to begin with, so that's one. Then

0:35:02.040 --> 0:35:04.800
<v Speaker 12>you have Google doing very well with their TPU stuff,

0:35:05.120 --> 0:35:07.359
<v Speaker 12>you know, Oracle and core Vi also getting into that.

0:35:07.480 --> 0:35:10.399
<v Speaker 12>But Amazon still has a very large portfolio over there.

0:35:10.600 --> 0:35:12.520
<v Speaker 12>And what we think is going to happen this year

0:35:12.680 --> 0:35:14.640
<v Speaker 12>is going they have been spending a lot of money

0:35:14.640 --> 0:35:16.879
<v Speaker 12>to expand that data centers. They're going to get more

0:35:16.920 --> 0:35:19.480
<v Speaker 12>and more AI infrastructure orders because you know, at the

0:35:19.600 --> 0:35:21.640
<v Speaker 12>end of the day, they have the capital, they also

0:35:21.680 --> 0:35:24.480
<v Speaker 12>get the same chips from Nvidia, they have the luxury

0:35:24.560 --> 0:35:26.719
<v Speaker 12>or they know how to build those data centers and

0:35:26.760 --> 0:35:28.880
<v Speaker 12>plug these things together. So I think this is the

0:35:28.920 --> 0:35:31.000
<v Speaker 12>air where they kind of break through from a lot

0:35:31.000 --> 0:35:33.359
<v Speaker 12>of this narrative of being an AI laggard.

0:35:33.800 --> 0:35:35.640
<v Speaker 2>And that that's kind of reflected in the stockown rock.

0:35:35.680 --> 0:35:37.799
<v Speaker 2>I'm just looking at over the trailing twelve months, you know,

0:35:37.880 --> 0:35:40.560
<v Speaker 2>only up about five percent is the reason because they

0:35:40.600 --> 0:35:43.960
<v Speaker 2>just haven't necessarily got the full AI you know, kind

0:35:44.000 --> 0:35:45.040
<v Speaker 2>of win in their sale.

0:35:45.440 --> 0:35:47.759
<v Speaker 12>No, because they the kind of work that doing is

0:35:47.880 --> 0:35:51.520
<v Speaker 12>very different. The first phase of AI boom that we

0:35:51.560 --> 0:35:53.879
<v Speaker 12>have seen is in the consumer app It's in the Chat,

0:35:53.920 --> 0:35:57.520
<v Speaker 12>GPT and the Gemini. What we have seen they're not enterprises.

0:35:57.560 --> 0:36:01.800
<v Speaker 12>They're not large banks that are adding more AI capabilities,

0:36:02.000 --> 0:36:04.920
<v Speaker 12>but we are in that phase of enterprising adding more

0:36:04.960 --> 0:36:07.400
<v Speaker 12>AI capabilities, and when that happens, you know, they have

0:36:07.480 --> 0:36:09.440
<v Speaker 12>the large infrastructure, plus they have a lot of the

0:36:09.560 --> 0:36:14.400
<v Speaker 12>data that these big companies reside in the Amazon ecosystem.

0:36:14.480 --> 0:36:16.200
<v Speaker 12>I think that's where they benefit the most.

0:36:16.520 --> 0:36:18.239
<v Speaker 2>I mean it's not very often in the last I

0:36:18.239 --> 0:36:20.520
<v Speaker 2>don't know, fifteen years where we could say Amazon is

0:36:21.360 --> 0:36:24.319
<v Speaker 2>cheap or Amazon looks like a good buy relative to

0:36:24.360 --> 0:36:26.560
<v Speaker 2>its peer set. But I mean, if you have a

0:36:26.560 --> 0:36:29.160
<v Speaker 2>certain time horizon, is that what the bulls are saying here?

0:36:29.920 --> 0:36:31.920
<v Speaker 12>Yeah, I think that's where it is that. You know,

0:36:32.000 --> 0:36:34.719
<v Speaker 12>so far, the narrative has only been about OpenAI and

0:36:34.800 --> 0:36:38.120
<v Speaker 12>JAGGPT and Microsoft. I think that narrative starts to change

0:36:38.120 --> 0:36:41.440
<v Speaker 12>this year with more and more enterprise adoption. And you know,

0:36:41.480 --> 0:36:43.520
<v Speaker 12>you and I talked about it just a few weeks

0:36:43.520 --> 0:36:46.400
<v Speaker 12>ago that we did in AI survey where enterprises are

0:36:46.600 --> 0:36:50.239
<v Speaker 12>really looking forward to deploy some of these AI tools internally,

0:36:50.440 --> 0:36:52.480
<v Speaker 12>and that's not going to happen in isolation. They have

0:36:52.560 --> 0:36:55.719
<v Speaker 12>to build that on some data framework, some kind of

0:36:55.920 --> 0:36:58.320
<v Speaker 12>AI framework, and that's where AWS comes.

0:36:58.080 --> 0:37:01.560
<v Speaker 3>In our thanks to anor Agrana, bloom Intelligence Technology Analyst.

0:37:01.840 --> 0:37:04.560
<v Speaker 2>That's this week's edition of Bloomberg Intelligence on Bloomberg Radio,

0:37:04.640 --> 0:37:07.080
<v Speaker 2>providing in depth research and data on two thousand companies

0:37:07.120 --> 0:37:08.480
<v Speaker 2>and one hundred and thirty industries.

0:37:08.560 --> 0:37:11.160
<v Speaker 3>And remember you can access Bloomberg Intelligence via b I

0:37:11.280 --> 0:37:13.440
<v Speaker 3>go on the terminal. I'm Scarlett Foo and.

0:37:13.400 --> 0:37:15.799
<v Speaker 2>I'm Paul Sweeney. Stay with us. Today's top stories and

0:37:15.840 --> 0:37:17.919
<v Speaker 2>global business headlines are coming up right now