WEBVTT - Conoco Deal, American Air Guidance, Musk Empire

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news.

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<v Speaker 2>This is Bloomberg Intelligence with Alex Steinhl and Paul'sweeny.

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<v Speaker 1>The real app performance has been in US corporate high yield.

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<v Speaker 3>Are the companies lean enough? Have they trimmed all the fats?

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<v Speaker 1>The semiconductor business is a really cyclical business.

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<v Speaker 2>Breaking market headlines and corporate news from across the globe.

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<v Speaker 3>Do investors like the M and A that we've seen?

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<v Speaker 1>These are two big time blue chip companies.

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<v Speaker 4>The window between the peak and cut changing super fast.

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<v Speaker 2>Bloomberg Intelligence with Alex Steinhl and Paul'sweenye on Bloomberg Radio.

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<v Speaker 1>Today's Bloomberg Intelligence Show, we dig inside the big business

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<v Speaker 1>stories impacting Wall Street and the global markets.

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<v Speaker 4>Each and every week we provide in depth research and

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<v Speaker 4>data on some of the two thousand companies and one

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<v Speaker 4>hundred and thirty industries our analysts cover worldwide.

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<v Speaker 1>Today, we'll look at why offshore wind industry, particularly in

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<v Speaker 1>the US, has been struggling.

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<v Speaker 4>Plaus We'll discuss why the CEO Elon Musk's companies may

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<v Speaker 4>be under threat as Tesla struggles.

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<v Speaker 1>But first we dive into M and A in the

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<v Speaker 1>oil and gas industry. This week Conoco Phillips agreed to

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<v Speaker 1>require Marathon Oil in an all stock deal, value in

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<v Speaker 1>the company at about seventeen billion dollars.

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<v Speaker 4>The move expands Conicco Phillips footprint and domestic shale fields

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<v Speaker 4>from Texas to North Dakota. It also adds to the

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<v Speaker 4>wave of recent mega deals as producers are betting that

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<v Speaker 4>oil and gas demand will remain robust for years to come.

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<v Speaker 1>For more, we were joined by Vince Piazza, Bloomberg Intelligence,

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<v Speaker 1>senior equity research Channels, who covers the oil and gas space.

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<v Speaker 4>We first ask bens and if this deal makes Conicgo

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<v Speaker 4>Phillips bigger or better.

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<v Speaker 5>I think a little bit of both. It makes them.

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<v Speaker 6>Better in certain basins because it does consolidate an opportunity

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<v Speaker 6>set in places like the Delaware, the Baking and even

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<v Speaker 6>the Eagle Forward.

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<v Speaker 5>But it does extend the franchise into other areas that

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<v Speaker 5>probably dilutes some of that narrative. You know, the narrative

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<v Speaker 5>has been consolidate streamline leverage to what you do best.

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<v Speaker 5>We saw that in the Permian. We saw that for

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<v Speaker 5>natural gas as well, with Southwestern and Chesapeake likely getting together.

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<v Speaker 5>So in this case you have some pieces of that

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<v Speaker 5>marathon pie. That may not work as well within the

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<v Speaker 5>broader Conicco platform, but that's an opportunity set to divest

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<v Speaker 5>some of those pieces and really concentrate around Texas and

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<v Speaker 5>the Bakan. But the bocket itself is maturing as well.

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<v Speaker 5>What you're really getting here is a ton of free

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<v Speaker 5>cash flow as well. You know, this is consistent with

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<v Speaker 5>the formula, the theme, the narrative that we've heard and

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<v Speaker 5>seen in the past, the acquirer using a slightly higher

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<v Speaker 5>multiple to do an all stock transaction by the company,

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<v Speaker 5>bring those assets, those cash flow generating assets that's into

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<v Speaker 5>the platform, lower the spend, generate that free cash flow,

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<v Speaker 5>be able to boost the ordinary dividend and also the

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<v Speaker 5>supplemental dividend and support the stock by buying back shares

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<v Speaker 5>as well. And in this case financially, financially, engineering wise,

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<v Speaker 5>it actually works out right.

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<v Speaker 1>Hey, Vince, I noticed you know there's a lot of

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<v Speaker 1>M and A stuff going on in your energy world here.

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<v Speaker 1>Do the regulators care about this stuff?

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<v Speaker 5>Oh yeah, they will take a serious look at this.

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<v Speaker 5>They will increase the scrutiny of all of these deals.

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<v Speaker 5>I know that they're looking to close this by four

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<v Speaker 5>q twenty twenty four. I think that's kind of tight.

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<v Speaker 5>We have seen other deals close Exxon closing Pioneer around

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<v Speaker 5>that same time as a projected closing date as well,

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<v Speaker 5>But there are other deals that may be prolonged. And

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<v Speaker 5>this will be a rather large entity. It's going to

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<v Speaker 5>be roughly, you know, two point two million barrels a

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<v Speaker 5>day of production, so it will get scrutiny. It will

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<v Speaker 5>get scrutiny more broadly, but in general, it's really not

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<v Speaker 5>sizeable in those particular basins that they are consolidating.

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<v Speaker 4>So to that point, do we see another bitter come in?

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<v Speaker 4>So Bloomberg has reported that Devin was also interested in

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<v Speaker 4>Marathon Oil. Do you think we see this happening now?

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<v Speaker 5>Well, you know they were looking at it. When you

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<v Speaker 5>work out the numbers, it would have been kind of

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<v Speaker 5>difficult to make it work. But the increation here Conico

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<v Speaker 5>Marathon actually works out better for Marathon holders. It's interesting

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<v Speaker 5>because within the first three years of the deal, Conico

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<v Speaker 5>suggests that they'll buy back as much stock as the

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<v Speaker 5>entire market cap of Marathon, including a boosted dividend for

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<v Speaker 5>legacy Conical holders and new holders from the Marathon purchase.

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<v Speaker 1>You know, it's an all stock deal, which all right,

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<v Speaker 1>I get my M and A fee Alex, but I

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<v Speaker 1>don't get to do the high yield piece which choices

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<v Speaker 1>mine here. So I'm not really happy with an all

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<v Speaker 1>stocks it's evercore.

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<v Speaker 3>I think that led kind of go on this one.

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<v Speaker 7>Yeah.

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<v Speaker 1>I looked at M A go. They did not have

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<v Speaker 1>the M and advisors. They're a little bit slow on.

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<v Speaker 8>That, Vincer.

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<v Speaker 1>We going to see more of this. I mean, we're

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<v Speaker 1>going to be talking to you more about M and

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<v Speaker 1>A in your space.

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<v Speaker 5>Yeah, we've seen it across the Permian. We've seen it

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<v Speaker 5>in natural gas as well. Haven't seen it as much

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<v Speaker 5>in natural gas, but I think that'll pick up as well,

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<v Speaker 5>as we're seeing a big here for Henry Hub and

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<v Speaker 5>various prices across the regions. When you have a industry

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<v Speaker 5>that is in the crosshairs of both civic and political leaders,

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<v Speaker 5>the one way to survive is to consolidate and get

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<v Speaker 5>bigger if you're not able to grow organically.

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<v Speaker 1>Our thanks to Vince Piatza, Bloomberg Intelligence senior equity research

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<v Speaker 1>channelists on the oil and gas industry.

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<v Speaker 4>We move now to big tech and Apple Apples, I

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<v Speaker 4>on stage the rebound in China last month, with shipments

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<v Speaker 4>rising fifty two percent. That's according to the latest figures

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<v Speaker 4>from the China Academy of Information and Communications Technology.

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<v Speaker 1>This all comes as Apple and it's Chinese retailers have

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<v Speaker 1>been cutting prices since it start of twenty twenty four,

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<v Speaker 1>following steep declines.

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<v Speaker 4>For more, we're joined by aniog Rana, Bloomberg Intelligence Technology analysts.

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<v Speaker 4>We first asked anarog for his reaction to the data.

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<v Speaker 9>This is the way I looked at it in jan

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<v Speaker 9>and feb. This data was down I think minus thirty

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<v Speaker 9>five minus forty percent or so. And then when Apple

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<v Speaker 9>reported their quarter, they said, you know what, mainland China,

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<v Speaker 9>our iPhone revenue grew. So there is not that direct

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<v Speaker 9>correlation between the two numbers. And it could be because

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<v Speaker 9>there are times when Apple, you know, sells phone, but

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<v Speaker 9>it's stuck in the inventory channel in between. Then they

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<v Speaker 9>put out a sale and then gets cleared up. So

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<v Speaker 9>it's a question of timing not so much. But the

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<v Speaker 9>big thing for us is that there was a downdraft

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<v Speaker 9>of negative news coming out of China. It's turned positive

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<v Speaker 9>two months in a row, so that's a good news.

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<v Speaker 9>Seems more like a cyclical issue to me than a

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<v Speaker 9>structural problem of people giving away Apple phones not buying it.

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<v Speaker 8>So that's not the case. So that's a good news.

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<v Speaker 8>So I think, you know, from an overall point of sentiment.

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<v Speaker 9>Point of view, I think this is good news for

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<v Speaker 9>Apple that China, which in our view is the most

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<v Speaker 9>important market for them over the next three to five years,

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<v Speaker 9>and we are not going to see you know, let's

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<v Speaker 9>say eurobar declining share. I think it's going to be

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<v Speaker 9>okay over the next few years, even if it goes

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<v Speaker 9>ups and down.

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<v Speaker 8>So that's really the big takeaway for us.

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<v Speaker 3>So can I call this a nothing burger?

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<v Speaker 8>No, that's not true because.

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<v Speaker 3>I say that because you didn't hear it.

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<v Speaker 4>But Paul was guessing you would call this data a

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<v Speaker 4>nothing for But you're being too polite about it.

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<v Speaker 3>I think gone a wrong.

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<v Speaker 8>So sentiment advice, think about it.

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<v Speaker 9>The only thing that we've been hearing for almost a

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<v Speaker 9>year now that people don't want to buy iPhones in China,

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<v Speaker 9>it's because of the government and nationalism and so many

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<v Speaker 9>all things. And I think this one tells us that's

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<v Speaker 9>not the case. People are strapped for cash and if

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<v Speaker 9>they get a good deal on a phone, buy it.

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<v Speaker 9>So what do I expect. I expect Apple to go

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<v Speaker 9>out and do more promotional activities over the next few

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<v Speaker 9>months to try and sell more products into the market. Now,

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<v Speaker 9>not every market is different. Apple's not known to give

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<v Speaker 9>a lot of discounts globally, but if that's what they

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<v Speaker 9>have to do in China, that's what they have to.

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<v Speaker 3>Do, all right, fair enough. But let's go to the

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<v Speaker 3>discounts though for a second.

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<v Speaker 4>So even if we don't say, take this data as gold,

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<v Speaker 4>but just directionally, Apple and discounts tend not to go together,

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<v Speaker 4>at least in my mind.

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<v Speaker 3>What do you make of that?

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<v Speaker 9>Yeah, I think this is a new thing for Apple,

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<v Speaker 9>and again they're probably grinding their teeth and not liking it.

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<v Speaker 9>But you know what, they have the rest of the

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<v Speaker 9>world to make up for it. In the US, for example,

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<v Speaker 9>people are liking to buy the higher end model, the

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<v Speaker 9>pro model. That helps margins, that helps the average selling price.

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<v Speaker 9>So if they have to give a little bit up

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<v Speaker 9>to gain market share in China, I think they should

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<v Speaker 9>do it, because you don't want to be branded as

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<v Speaker 9>somebody a second player in China out there, which is

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<v Speaker 9>you know, in our view the most important market for

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<v Speaker 9>growth for Apple, what's going to happen is you're not

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<v Speaker 9>going to see any growth in China. For that matter,

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<v Speaker 9>their top line growth is not going to grow, and

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<v Speaker 9>that's not good for the stock.

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<v Speaker 8>Also, and I've talked to.

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<v Speaker 1>Us about India. What is it as a percentage of

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<v Speaker 1>Apple's business today and what do you think it can

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<v Speaker 1>be five, six, seven years from now.

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<v Speaker 9>Yeah, so in our view, apples very small, less than

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<v Speaker 9>five percent. In fact, when we have done a lot

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<v Speaker 9>of work on the number of shipments in India, Apple's

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<v Speaker 9>market share is, you know, less than five percent.

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<v Speaker 8>But here's the kicker.

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<v Speaker 9>Ninety five percent of the phones don't even qualify for

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<v Speaker 9>to be in the Apples you could say ecosystem, which

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<v Speaker 9>means they're under three hundred dollars. As the Indian economy grows,

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<v Speaker 9>as the middle class becomes more affluent, I think Apple's

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<v Speaker 9>going to be a winner over here. But think about

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<v Speaker 9>it this way. When we look at the US with

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<v Speaker 9>per capita income of let's say sixty five seventy thousand dollars,

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<v Speaker 9>somewhere in that realm, China is around twelve and a

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<v Speaker 9>half thousand dollars. India is about two thousand, twenty five

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<v Speaker 9>hundred dollars. So when you look at these three systems,

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<v Speaker 9>I think when we look at that growth driver from

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<v Speaker 9>five years onwards, that's where you know, India comes in

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<v Speaker 9>and there's a massive market there for Apple. But that's

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<v Speaker 9>not going to happen next year or the year after.

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<v Speaker 4>Right, that's sort of a structural change, et cetera in

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<v Speaker 4>the market. I don't know what else are you working

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<v Speaker 4>on right now.

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<v Speaker 9>I think the biggest thing right now is what happens

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<v Speaker 9>at WWDC and whether that's going to be enough to

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<v Speaker 9>sustain this. You know, I would say optimism that we

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<v Speaker 9>have seen in Apple for the first time, I would

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<v Speaker 9>say in the last eighteen months, because we all knew

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<v Speaker 9>China was a problem. We saw that in the numbers,

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<v Speaker 9>sales numbers and not very strong. But AI has that

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<v Speaker 9>outside potential to go out and spur the next sale

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<v Speaker 9>off phones. Why because there is a massive amount over

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<v Speaker 9>forty three percent of the phones our iPhone twelve and below,

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<v Speaker 9>which is old phones with lower you know, you could

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<v Speaker 9>say RAM memory and other things. Now for if they

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<v Speaker 9>go out and say I have really cool features coming

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<v Speaker 9>into the phone you got to go find a way

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<v Speaker 9>to upgraded. Now, if somebody has a fourteen or a fifteen,

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<v Speaker 9>they're most likely not going to upgrade it. But if

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<v Speaker 9>you have something that I can iPhone ten, iPhone eleven,

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<v Speaker 9>there may be a reason enough for you to upgrade it.

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<v Speaker 9>So that really brings a new fresh you could say

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<v Speaker 9>life and Apple, and that's really important. On June tenth

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<v Speaker 9>when they get this developer conference.

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<v Speaker 1>All right, I'm sitting on an Apple iPhone eleven. When

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<v Speaker 1>do I upgrade?

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<v Speaker 9>You should update it in the winter when the sixteen

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<v Speaker 9>comes out or whatever the name they give that phone,

0:11:31.200 --> 0:11:34.320
<v Speaker 9>because it should have a faster processor, it should have

0:11:34.360 --> 0:11:37.160
<v Speaker 9>a lot more memory. They'll just make things easier for you.

0:11:37.160 --> 0:11:38.880
<v Speaker 9>You can watch your golf shows in a little bit

0:11:39.080 --> 0:11:39.720
<v Speaker 9>easier way.

0:11:40.080 --> 0:11:42.280
<v Speaker 1>Very good. Now, Tim Cook's sixty three, I'm gonna switch

0:11:42.520 --> 0:11:45.120
<v Speaker 1>gears on you. Is there any push for this guy

0:11:45.160 --> 0:11:49.000
<v Speaker 1>to put out a succession plan of note or things

0:11:49.080 --> 0:11:51.640
<v Speaker 1>just going so well at Apple that nobody's pushing for that.

0:11:52.720 --> 0:11:56.440
<v Speaker 9>See, Tim's done well. The Apple's done very well under Tim.

0:11:56.920 --> 0:11:58.920
<v Speaker 9>I have no way of predicting what he's going to leave.

0:11:59.040 --> 0:12:01.719
<v Speaker 9>But in my view, if you were to somehow ring

0:12:01.800 --> 0:12:05.440
<v Speaker 9>fence the China business. Apple alone is a company that

0:12:05.559 --> 0:12:08.360
<v Speaker 9>I think can do good by itself. It doesn't really

0:12:08.400 --> 0:12:11.440
<v Speaker 9>need a massive charismatic leader in order to, you know,

0:12:11.520 --> 0:12:13.400
<v Speaker 9>come up with that. This is a company with a

0:12:13.760 --> 0:12:17.480
<v Speaker 9>global brand, the products people love, people trust the products,

0:12:17.679 --> 0:12:20.120
<v Speaker 9>and the installed base is very loyal. I mean, we

0:12:20.200 --> 0:12:23.640
<v Speaker 9>think somewhere in the mid nineties people can keep the phones.

0:12:23.679 --> 0:12:26.920
<v Speaker 9>They don't go out and change into a new ecosystem.

0:12:27.000 --> 0:12:30.000
<v Speaker 9>I think this is a phenomenal business, but you know,

0:12:30.120 --> 0:12:32.840
<v Speaker 9>you do need certain innovation, but not to the level

0:12:32.880 --> 0:12:34.520
<v Speaker 9>you need in other technology companies.

0:12:34.720 --> 0:12:37.760
<v Speaker 1>Our thanks to anorak Ruana Bloomberg Intelligence technology analyst.

0:12:37.960 --> 0:12:40.120
<v Speaker 4>Coming up, we're going to breakdown why American Airlines gave

0:12:40.120 --> 0:12:42.760
<v Speaker 4>an outlook for the coming quarter the disappointed investors.

0:12:42.840 --> 0:12:45.640
<v Speaker 1>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:12:45.679 --> 0:12:48.040
<v Speaker 1>depth research and data on two thousand companies and one

0:12:48.120 --> 0:12:51.120
<v Speaker 1>hundred and thirty industries. You can access Bloomberg Intelligence be

0:12:51.200 --> 0:12:52.520
<v Speaker 1>a b I go on the terminal.

0:12:52.600 --> 0:12:55.400
<v Speaker 4>I'm Paul Sweet and I'm Alex Steel and this is Bloomberg.

0:13:00.280 --> 0:13:04.640
<v Speaker 2>This is Bloomberg Intelligence with Alex Steele and Paul Sweeney

0:13:04.960 --> 0:13:06.640
<v Speaker 2>on Bloomberg Radio.

0:13:07.360 --> 0:13:09.880
<v Speaker 4>We move now to the airline industry. This week, American

0:13:09.920 --> 0:13:13.280
<v Speaker 4>Airlines issued guidance for the second quarter. The disappointed investors.

0:13:13.600 --> 0:13:17.160
<v Speaker 1>The carrier slash profit and revenue expectations, and American air

0:13:17.240 --> 0:13:20.600
<v Speaker 1>also acknowledged that it misjudge domestic demand heading into the

0:13:20.640 --> 0:13:22.360
<v Speaker 1>crucial summer travel season.

0:13:22.480 --> 0:13:25.120
<v Speaker 4>For more, we're drawn by George ferguson Bloomberg Intelligence in

0:13:25.160 --> 0:13:27.200
<v Speaker 4>your Aerospace, Defense and Airlines analyst.

0:13:27.440 --> 0:13:30.320
<v Speaker 1>We first asked George for his take on this week's guidance.

0:13:30.720 --> 0:13:33.880
<v Speaker 10>There's some analysts that think that this is driven by

0:13:34.800 --> 0:13:38.760
<v Speaker 10>they got a very much more domestically focused strategy, different

0:13:38.760 --> 0:13:42.679
<v Speaker 10>corporate strategy than United in Delta. You know, I guess

0:13:42.920 --> 0:13:47.040
<v Speaker 10>we're the view that American has been underperforming Delta United

0:13:47.280 --> 0:13:50.360
<v Speaker 10>for the last couple quarters, especially last quarter. We saw

0:13:50.400 --> 0:13:55.199
<v Speaker 10>them down in every single market, including Transatlantic, which had

0:13:55.240 --> 0:14:01.040
<v Speaker 10>been an area of strength for airlines like you know, Delta.

0:14:01.240 --> 0:14:05.000
<v Speaker 10>So they absolutely seem like they've been underperforming. But you know,

0:14:05.040 --> 0:14:07.439
<v Speaker 10>we've taken a look at the capacity that's getting added

0:14:07.520 --> 0:14:12.160
<v Speaker 10>to the market all the markets US airlines fly domestic,

0:14:13.040 --> 0:14:17.880
<v Speaker 10>Latin America, you know, Atlantic and Pacific, and frankly, what

0:14:17.920 --> 0:14:21.480
<v Speaker 10>we see is capacity ads that are in some cases

0:14:21.560 --> 0:14:25.600
<v Speaker 10>twice GDP growth since last summer. So well, we think

0:14:25.640 --> 0:14:28.400
<v Speaker 10>Americans probably going to be the worst on the downside

0:14:28.440 --> 0:14:31.440
<v Speaker 10>of the big three. I think it's going to be

0:14:31.480 --> 0:14:34.760
<v Speaker 10>hard for the other two to avoid similar trends. They

0:14:34.800 --> 0:14:36.960
<v Speaker 10>won't be as bad, but we just see too much

0:14:36.960 --> 0:14:40.080
<v Speaker 10>capacity coming to most of the markets US airlines fly too,

0:14:40.120 --> 0:14:42.920
<v Speaker 10>and we think the REDA cross is probably even greater

0:14:43.520 --> 0:14:47.280
<v Speaker 10>to the budget very domestically focused and Latin American focused

0:14:47.280 --> 0:14:50.720
<v Speaker 10>carriers that be Southwest, that be Jet Blue, that be

0:14:50.800 --> 0:14:52.760
<v Speaker 10>all the low cost carriers, So the REDA cross is

0:14:52.800 --> 0:14:55.040
<v Speaker 10>probably even stronger for those carriers.

0:14:55.600 --> 0:14:58.240
<v Speaker 1>So Georgia, I kind of feel my just you know,

0:14:58.320 --> 0:15:02.960
<v Speaker 1>layperson's eye, United, Delta, and American. Are they all kind

0:15:03.000 --> 0:15:05.400
<v Speaker 1>of the same, kind of the same strategy.

0:15:06.400 --> 0:15:08.400
<v Speaker 10>No, No, not at all, all.

0:15:08.360 --> 0:15:09.600
<v Speaker 1>Right, So what's different?

0:15:10.440 --> 0:15:11.840
<v Speaker 3>God, exactly?

0:15:12.200 --> 0:15:15.440
<v Speaker 1>Well, I fly Delta, I'm like I fly United being

0:15:15.480 --> 0:15:18.680
<v Speaker 1>a Newark person myself. But so what's different about these guys.

0:15:18.920 --> 0:15:21.640
<v Speaker 10>Well, they each have their own, you know, their different strengths, right,

0:15:21.680 --> 0:15:25.560
<v Speaker 10>and so American really has very little presence in the

0:15:25.600 --> 0:15:28.760
<v Speaker 10>Pacific region, so they don't get much pickup fares there.

0:15:28.920 --> 0:15:31.920
<v Speaker 10>Are pretty strong, although coming down because capacity is getting added,

0:15:32.160 --> 0:15:34.280
<v Speaker 10>but they don't get any of the Pacific tailwind because

0:15:34.280 --> 0:15:37.400
<v Speaker 10>that's sort of the last recovering market right now. American

0:15:37.800 --> 0:15:41.560
<v Speaker 10>is very strong, has a lot of capacity into Latin America.

0:15:41.920 --> 0:15:45.920
<v Speaker 10>Latin America is very weak right now, especially near in

0:15:46.080 --> 0:15:49.440
<v Speaker 10>Latin America. You know, the sort of short haul narrow

0:15:49.440 --> 0:15:52.480
<v Speaker 10>body flying. There's just a lot of capacity going into

0:15:52.480 --> 0:15:55.680
<v Speaker 10>beach markets, a lot of capacity coming out of Mexico.

0:15:56.200 --> 0:15:59.240
<v Speaker 10>So that's a source of pain. American I think more

0:15:59.320 --> 0:16:03.840
<v Speaker 10>focused than United in Delta on the US domestic market,

0:16:04.120 --> 0:16:07.600
<v Speaker 10>where we're seeing United in Delta do more out across

0:16:07.640 --> 0:16:10.920
<v Speaker 10>the Atlantic, where yields are yields are stronger.

0:16:11.160 --> 0:16:12.200
<v Speaker 8>I kind of get the sense.

0:16:12.000 --> 0:16:15.160
<v Speaker 10>That America just doesn't get to pick up from Europe

0:16:15.200 --> 0:16:19.200
<v Speaker 10>like United in Delta do because I think they've just

0:16:19.240 --> 0:16:22.120
<v Speaker 10>got a strong partner there in British Airway that kind

0:16:22.120 --> 0:16:25.240
<v Speaker 10>of really runs Heathrow. So American gets some of it,

0:16:25.280 --> 0:16:27.920
<v Speaker 10>but they don't ever seem to get as much as

0:16:28.040 --> 0:16:30.840
<v Speaker 10>United in Delta do out of Europe. So they all

0:16:30.880 --> 0:16:32.040
<v Speaker 10>have sort of their nuances.

0:16:32.400 --> 0:16:35.040
<v Speaker 4>CCO is leaving, how long do they get back on track?

0:16:35.560 --> 0:16:39.200
<v Speaker 10>So you know, again, what we see is a marketplace

0:16:39.240 --> 0:16:42.440
<v Speaker 10>that isn't just this isn't an American anomaly. It's a

0:16:42.440 --> 0:16:45.160
<v Speaker 10>little bit of an American anomaly, but it's a larger

0:16:45.240 --> 0:16:48.880
<v Speaker 10>broader trend, and that is consumers running out of gas

0:16:48.920 --> 0:16:52.000
<v Speaker 10>a bit here, especially the lower end consumer, and a

0:16:52.000 --> 0:16:55.280
<v Speaker 10>lot of capacity coming to the US domestic market, the

0:16:55.320 --> 0:16:58.680
<v Speaker 10>beach markets and transatlantic so I think the rest of

0:16:58.680 --> 0:17:02.720
<v Speaker 10>them are coming American direction. America isn't going their direction

0:17:02.800 --> 0:17:06.240
<v Speaker 10>over the near term. Over this summer, we'll see.

0:17:05.960 --> 0:17:06.199
<v Speaker 7>All right.

0:17:06.200 --> 0:17:09.359
<v Speaker 4>Thanks to George ferguson Bloomberg Intelligence, Senior Aerospace, Defense and

0:17:09.400 --> 0:17:10.280
<v Speaker 4>Airlines analyst.

0:17:10.600 --> 0:17:13.120
<v Speaker 1>On Bloomberg Intelligence Radio, we bring you all the top

0:17:13.119 --> 0:17:15.600
<v Speaker 1>analysts providing in depth research and data on two thousand

0:17:15.640 --> 0:17:17.400
<v Speaker 1>companies and one hundred and thirty industries.

0:17:17.560 --> 0:17:19.840
<v Speaker 4>We also have something here at Bloomberg called Bloomberg New

0:17:19.920 --> 0:17:22.280
<v Speaker 4>Energy Finance, and the idea behind it is to provide

0:17:22.359 --> 0:17:27.600
<v Speaker 4>data on commodities, power, transport, industries, buildings, agriculture and new technology.

0:17:27.840 --> 0:17:31.840
<v Speaker 1>This week we looked into offshore winds. The industry, particularly

0:17:31.840 --> 0:17:33.440
<v Speaker 1>in the US, has been struggling.

0:17:33.520 --> 0:17:36.440
<v Speaker 4>This comes as inflation and supply chain challenges have driven

0:17:36.520 --> 0:17:40.879
<v Speaker 4>up capital expenditure, while financing costs have spiraljuterizing interest rates

0:17:40.960 --> 0:17:41.280
<v Speaker 4>for more.

0:17:41.280 --> 0:17:45.119
<v Speaker 1>We were joined by Oliver Metcalf BNEF, head of Wind Research.

0:17:45.480 --> 0:17:48.800
<v Speaker 1>We first asked Oliver where things stand now with offshore

0:17:48.880 --> 0:17:49.840
<v Speaker 1>winds in the US.

0:17:50.040 --> 0:17:52.440
<v Speaker 7>It's been a difficult last twelve months for the US

0:17:52.440 --> 0:17:55.840
<v Speaker 7>off shore wind industry. We saw around nine gigawatts of

0:17:55.840 --> 0:17:58.600
<v Speaker 7>off take contracts, so contracts for the generation of these

0:17:58.640 --> 0:18:01.840
<v Speaker 7>projects get canceled. That's around a third of the contracts

0:18:01.840 --> 0:18:03.960
<v Speaker 7>that were assigned in total for the US off your

0:18:03.960 --> 0:18:07.160
<v Speaker 7>wind pipeline. You mentioned there it was because of high inflation.

0:18:07.560 --> 0:18:10.320
<v Speaker 7>High interest rates have really hit the technology as well.

0:18:10.400 --> 0:18:14.560
<v Speaker 7>So it's a really capitally intensive technology and so a

0:18:14.600 --> 0:18:17.480
<v Speaker 7>higher cost of financing hits off your wind especially hard

0:18:17.560 --> 0:18:20.760
<v Speaker 7>compared with other technologies. We're beginning to see a bit

0:18:20.760 --> 0:18:23.679
<v Speaker 7>of a turning of the fortunes. So we're seeing the

0:18:23.720 --> 0:18:27.720
<v Speaker 7>first couple of commercial scale off your wind projects start

0:18:27.760 --> 0:18:29.320
<v Speaker 7>to come online in the US. One has already come

0:18:29.359 --> 0:18:31.639
<v Speaker 7>online off the coast of New York, and one that

0:18:31.680 --> 0:18:34.840
<v Speaker 7>will feed Parento Massachusetts is under construction at the moment.

0:18:35.280 --> 0:18:38.199
<v Speaker 7>So some good stories beginning, and we're also seeing states

0:18:38.240 --> 0:18:41.280
<v Speaker 7>willing to adjust their subsidy mechanisms to account for some

0:18:41.320 --> 0:18:43.960
<v Speaker 7>of the pain that projects have been feeling recently. So

0:18:44.040 --> 0:18:47.680
<v Speaker 7>offer developers more protection in the contracts, the off take

0:18:47.680 --> 0:18:50.719
<v Speaker 7>contracts they're offering, and just simply higher prices that these

0:18:51.000 --> 0:18:52.720
<v Speaker 7>developers need to make their return.

0:18:53.200 --> 0:18:56.560
<v Speaker 1>So talk to us about just wind power. How is

0:18:56.640 --> 0:19:01.879
<v Speaker 1>that from an efficiency perspective versus and versus other stuff

0:19:01.880 --> 0:19:03.720
<v Speaker 1>that's out there? How competitors is wind?

0:19:04.240 --> 0:19:06.640
<v Speaker 7>So you get kind of higher productivity from a wind

0:19:06.640 --> 0:19:10.640
<v Speaker 7>turbine compared with a solar panel, and that's even more

0:19:10.640 --> 0:19:14.120
<v Speaker 7>productive offshore, and so offshore wind you have more consistent

0:19:14.200 --> 0:19:17.520
<v Speaker 7>wind speeds, stronger winds as well. So that means kind

0:19:17.520 --> 0:19:20.040
<v Speaker 7>of if you imagine a wind turbine operating one hundred

0:19:20.040 --> 0:19:22.840
<v Speaker 7>percent of the time, that's kind of theoretical maximum. You

0:19:22.840 --> 0:19:25.880
<v Speaker 7>can get between forty to sixty percent of that generation

0:19:26.000 --> 0:19:29.640
<v Speaker 7>typically on a wind project. Now that sixty percent isn't

0:19:29.680 --> 0:19:32.120
<v Speaker 7>too far off the kind of percentage we could see

0:19:32.119 --> 0:19:35.359
<v Speaker 7>from a kind of conventional generator, a gas or a

0:19:35.359 --> 0:19:35.919
<v Speaker 7>cold plant.

0:19:36.200 --> 0:19:38.600
<v Speaker 3>What about like nuclear, It's a nuclear a lot better.

0:19:38.440 --> 0:19:40.920
<v Speaker 7>Than that nuclear it's much harder to ramp up and down,

0:19:41.000 --> 0:19:43.840
<v Speaker 7>and so they tend to operate completely as base loads,

0:19:43.840 --> 0:19:46.399
<v Speaker 7>so you get really high what we call capacity factors

0:19:46.440 --> 0:19:48.560
<v Speaker 7>for nuclear so it's operating almost all the time if

0:19:48.600 --> 0:19:49.680
<v Speaker 7>it's if it's part of the mix.

0:19:49.880 --> 0:19:52.600
<v Speaker 3>So part of the issue is the off take contract.

0:19:52.680 --> 0:19:55.680
<v Speaker 4>So basically, if I'm a developer, you know, Paul goes

0:19:55.720 --> 0:19:57.359
<v Speaker 4>and says, Okay, I'm going to buy this wind from

0:19:57.400 --> 0:19:58.959
<v Speaker 4>you for this amount of time. He's going to pay

0:19:59.000 --> 0:20:00.960
<v Speaker 4>me this, which gives me clear then how I can

0:20:00.960 --> 0:20:03.360
<v Speaker 4>go and invest that money? But my cost go up

0:20:03.440 --> 0:20:06.320
<v Speaker 4>and I'm kind of left naked at that point. How

0:20:06.400 --> 0:20:09.720
<v Speaker 4>is that being resolved? You mentioned subsidies, but like what else?

0:20:09.800 --> 0:20:12.680
<v Speaker 4>Because that gap is very unpredictable. And I remember talking

0:20:12.720 --> 0:20:15.600
<v Speaker 4>to Siemens North America ahead about that and they're like,

0:20:15.640 --> 0:20:18.080
<v Speaker 4>we took on all the commodity risk and they're trying

0:20:18.080 --> 0:20:20.600
<v Speaker 4>to change that now because they're not commodity traders, But.

0:20:20.600 --> 0:20:21.439
<v Speaker 3>Like, how do you do that?

0:20:21.840 --> 0:20:25.720
<v Speaker 7>Well, Yes, it's that unpredictability that hit developers especially hard.

0:20:26.240 --> 0:20:29.000
<v Speaker 7>So in the previous contracts, there's ones I was talking

0:20:29.040 --> 0:20:32.199
<v Speaker 7>about that got canceled. There was very little adjustment in

0:20:32.200 --> 0:20:35.119
<v Speaker 7>the contract price to account for moving commodity prices, to

0:20:35.200 --> 0:20:37.800
<v Speaker 7>account for inflation. So that's the kind of thing that

0:20:37.840 --> 0:20:41.000
<v Speaker 7>states are building into these contracts now to kind of

0:20:41.040 --> 0:20:43.800
<v Speaker 7>better share the risk between a state which is buying

0:20:43.840 --> 0:20:47.800
<v Speaker 7>the power and the developer that's building the project. So

0:20:47.920 --> 0:20:51.840
<v Speaker 7>we're seeing kind of these prices getting index to CPI

0:20:51.960 --> 0:20:55.679
<v Speaker 7>for example, to certain kind of producer price indexes and

0:20:55.720 --> 0:20:59.040
<v Speaker 7>to certain commodity prices to make sometimes a one time

0:20:59.080 --> 0:21:01.119
<v Speaker 7>adjustment from when you're reach that price to when you're

0:21:01.119 --> 0:21:05.240
<v Speaker 7>actually securing finance, and sometimes you see that adjustments accounting

0:21:05.240 --> 0:21:07.240
<v Speaker 7>for inflation right throughout the life of the project.

0:21:07.520 --> 0:21:08.160
<v Speaker 1>That's interesting.

0:21:08.359 --> 0:21:10.040
<v Speaker 7>That's the kind of structure we see in lots of

0:21:10.040 --> 0:21:12.600
<v Speaker 7>other countries that have managed to build large scale off

0:21:12.680 --> 0:21:16.040
<v Speaker 7>your wind projects globally, and so yeah, from the offs

0:21:16.040 --> 0:21:18.879
<v Speaker 7>your wind industry's perspective, it's good to see that happening

0:21:18.920 --> 0:21:19.720
<v Speaker 7>in the US as well.

0:21:19.920 --> 0:21:22.720
<v Speaker 1>You mentioned the project off the coast of New York.

0:21:23.000 --> 0:21:25.080
<v Speaker 1>Talked to us about the economics, how much does it

0:21:25.240 --> 0:21:28.520
<v Speaker 1>cost to build that thing, who paid for it, and

0:21:28.960 --> 0:21:29.960
<v Speaker 1>just the economics.

0:21:30.280 --> 0:21:32.879
<v Speaker 7>So that is a project called South Fork. It was

0:21:32.960 --> 0:21:36.159
<v Speaker 7>the kind of the first commercial scale offshore wind project

0:21:36.240 --> 0:21:39.919
<v Speaker 7>in the US that was significantly more expensive than a

0:21:39.960 --> 0:21:44.040
<v Speaker 7>project we expect to see getting installed today. That's partly

0:21:44.080 --> 0:21:46.400
<v Speaker 7>because it was it was almost like a proof of concept.

0:21:46.520 --> 0:21:49.679
<v Speaker 7>So up until then, there are only seven operational offshore

0:21:49.720 --> 0:21:51.960
<v Speaker 7>wind turbines off the coast of the US so far.

0:21:52.560 --> 0:21:54.920
<v Speaker 7>So this is the first kind of larger scale project

0:21:55.520 --> 0:21:58.720
<v Speaker 7>for one of the newer projects. You're probably looking between

0:21:58.760 --> 0:22:01.320
<v Speaker 7>two point eight to three billion dollars for a one

0:22:01.359 --> 0:22:03.840
<v Speaker 7>gigawap project, which is a really big offshore wind from

0:22:04.560 --> 0:22:07.040
<v Speaker 7>almost ten times the size of that early kind of

0:22:07.040 --> 0:22:09.920
<v Speaker 7>commercial scale project that just came off the coast of

0:22:10.160 --> 0:22:13.960
<v Speaker 7>New York. So these are a really sizeable infrastructure investments.

0:22:14.040 --> 0:22:16.600
<v Speaker 3>Yeah, what part is the hardest?

0:22:16.640 --> 0:22:19.560
<v Speaker 4>Because it seems to me that you know, moving the

0:22:19.680 --> 0:22:23.560
<v Speaker 4>energy from offshore to the grid on land, like you

0:22:23.680 --> 0:22:26.159
<v Speaker 4>got to like build a transmission line for that, Like

0:22:26.200 --> 0:22:29.520
<v Speaker 4>that seems really hard and dangerous. And then I also

0:22:29.600 --> 0:22:33.120
<v Speaker 4>hear of the transmission plug shortages, so basically the thing

0:22:33.160 --> 0:22:35.879
<v Speaker 4>you need to actually plug that wind into the grid,

0:22:36.119 --> 0:22:37.200
<v Speaker 4>there's a shortage of that.

0:22:37.440 --> 0:22:38.320
<v Speaker 3>And then you got to build it.

0:22:38.359 --> 0:22:40.040
<v Speaker 4>And there's all the raw material costs that come at

0:22:40.080 --> 0:22:41.480
<v Speaker 4>actually building the turbine.

0:22:41.640 --> 0:22:43.720
<v Speaker 3>Where's the biggest price increases?

0:22:44.119 --> 0:22:46.480
<v Speaker 7>I mean, we saw a lot of price increases across

0:22:46.480 --> 0:22:49.399
<v Speaker 7>the board over the last couple of years. Actually, when

0:22:49.440 --> 0:22:50.960
<v Speaker 7>you look at a lot of commodity prices that are

0:22:51.000 --> 0:22:55.000
<v Speaker 7>important for manufacturing of wind turbines, cables, that kind of thing,

0:22:55.040 --> 0:22:57.080
<v Speaker 7>a lot of those raw material costs have come down.

0:22:57.560 --> 0:23:00.439
<v Speaker 7>What we've seen is turbine prices have remained stubbornly high.

0:23:00.960 --> 0:23:03.960
<v Speaker 7>Wind turbine makers were hit just as hard by rising costs,

0:23:04.080 --> 0:23:07.919
<v Speaker 7>rising inflation, and many of them were having to deliver

0:23:08.080 --> 0:23:10.960
<v Speaker 7>on contract said signed at cheaper rates in this higher

0:23:10.960 --> 0:23:13.520
<v Speaker 7>priced environment. So that means many of the kind of

0:23:13.680 --> 0:23:15.879
<v Speaker 7>major wind turbine makers have suffered a lot over the

0:23:15.960 --> 0:23:19.159
<v Speaker 7>last couple of years, and so they they're maintaining higher

0:23:19.200 --> 0:23:21.760
<v Speaker 7>prices to kind of have a bit of a buffer

0:23:21.800 --> 0:23:26.080
<v Speaker 7>on their margin, trying to regain kind of stronger margins.

0:23:26.640 --> 0:23:29.080
<v Speaker 7>But that means that developers are left paying higher prices

0:23:29.080 --> 0:23:31.000
<v Speaker 7>for the turbines despite the fact that some of these

0:23:31.000 --> 0:23:32.560
<v Speaker 7>input costs have started coming down.

0:23:32.840 --> 0:23:35.920
<v Speaker 1>Who makes these big turbine things in the ocean.

0:23:36.000 --> 0:23:41.280
<v Speaker 7>So that's companies like vestas Semens Energy GE is a

0:23:41.320 --> 0:23:49.800
<v Speaker 7>big US player and so those are I recently spun out.

0:23:49.000 --> 0:23:51.359
<v Speaker 7>I mean, so also it is one of the one

0:23:51.400 --> 0:23:54.200
<v Speaker 7>of the companies that builds builds the project, so one

0:23:54.200 --> 0:23:56.680
<v Speaker 7>of the biggest project developers globally. But there'll be the

0:23:56.680 --> 0:23:59.200
<v Speaker 7>guys putting in the orders with your likes of vestors,

0:23:59.240 --> 0:23:59.919
<v Speaker 7>g semen.

0:24:01.160 --> 0:24:03.400
<v Speaker 1>I mean, how do you build these things? I mean

0:24:03.400 --> 0:24:07.520
<v Speaker 1>how do you install them? I mean difficulty, it's tough,

0:24:07.760 --> 0:24:10.359
<v Speaker 1>build them on land, ship them out there, then just

0:24:10.480 --> 0:24:12.600
<v Speaker 1>plug them in the sand. I mean, how does this work?

0:24:12.760 --> 0:24:14.560
<v Speaker 7>So most of what's getting built at the moment is

0:24:14.760 --> 0:24:17.000
<v Speaker 7>bottom fixed off your wind. So you go out there,

0:24:17.160 --> 0:24:19.639
<v Speaker 7>you build a foundation that's fixed to the seabed, and

0:24:19.640 --> 0:24:21.280
<v Speaker 7>then you come out and you build the turbine on

0:24:21.320 --> 0:24:23.239
<v Speaker 7>top of that. So you build up the tower and

0:24:23.280 --> 0:24:26.200
<v Speaker 7>then component by component kind of build the big fan.

0:24:26.280 --> 0:24:28.320
<v Speaker 8>You can see it at the top, I know.

0:24:28.800 --> 0:24:31.199
<v Speaker 4>And then also how do you Then that question is

0:24:31.240 --> 0:24:34.240
<v Speaker 4>like if something happens and it gets its broken, like

0:24:34.280 --> 0:24:35.080
<v Speaker 4>how do you fix it?

0:24:35.160 --> 0:24:37.280
<v Speaker 3>Like what's it like when you go off shore? I mean,

0:24:37.400 --> 0:24:39.840
<v Speaker 3>what happens when one of these things dies? It just

0:24:39.880 --> 0:24:41.959
<v Speaker 3>like what's the shelf life of a turbine? And how

0:24:41.960 --> 0:24:44.040
<v Speaker 3>do you recycle it? I don't, we haven't, we don't

0:24:44.080 --> 0:24:44.680
<v Speaker 3>know that yet.

0:24:44.840 --> 0:24:47.639
<v Speaker 7>Yeah, Well, well, going to your question on what happens

0:24:47.680 --> 0:24:50.119
<v Speaker 7>when it goes wrong or how you construct it. You

0:24:50.200 --> 0:24:52.919
<v Speaker 7>need really specialized vessels to build these things, so they

0:24:52.960 --> 0:24:55.439
<v Speaker 7>call them jack up vessels, So they're vessels that kind

0:24:55.480 --> 0:24:58.240
<v Speaker 7>of have legs that they extend down into the seabed.

0:24:58.840 --> 0:25:01.359
<v Speaker 7>Jacks up the vessels so it's sitting kind of above

0:25:01.400 --> 0:25:03.880
<v Speaker 7>the water, so you've got a solid platform by which

0:25:03.880 --> 0:25:05.960
<v Speaker 7>to install the components, or if something goes wrong, to

0:25:06.600 --> 0:25:08.639
<v Speaker 7>send it out there, take off one of the components

0:25:08.640 --> 0:25:11.800
<v Speaker 7>and replace it with a fixed one. But these are

0:25:11.800 --> 0:25:14.240
<v Speaker 7>really specialized vessels. They cost a lot of money to build.

0:25:14.359 --> 0:25:17.000
<v Speaker 7>Are estimates around three hundred to five hundred million dollars,

0:25:17.800 --> 0:25:20.000
<v Speaker 7>and there's a shortage of these things globally at the moment,

0:25:20.040 --> 0:25:23.119
<v Speaker 7>the kind of specialized vessels to install the foundations and

0:25:23.200 --> 0:25:25.640
<v Speaker 7>then and then the turbines. So if you're a developer,

0:25:25.640 --> 0:25:28.480
<v Speaker 7>you're struggling to find those slots where you can secure vessels.

0:25:29.080 --> 0:25:31.800
<v Speaker 7>And if something goes wrong on a recently installed project

0:25:31.800 --> 0:25:34.840
<v Speaker 7>with one of these big, big new turbines, then you

0:25:34.960 --> 0:25:37.320
<v Speaker 7>might struggle to get a vessel to come in and

0:25:37.320 --> 0:25:38.800
<v Speaker 7>do that do that replacement work.

0:25:39.119 --> 0:25:41.439
<v Speaker 1>Our thanks to Oliver medkef BN, the f head of

0:25:41.520 --> 0:25:42.360
<v Speaker 1>Wind Research.

0:25:42.520 --> 0:25:44.960
<v Speaker 4>Coming up on the program a logo Why Dick's Sporting

0:25:45.040 --> 0:25:48.000
<v Speaker 4>Goods raised it's outlook for the year even as athletic

0:25:48.040 --> 0:25:49.160
<v Speaker 4>where companies struggle.

0:25:49.400 --> 0:25:52.560
<v Speaker 1>You're listening to Bloomberg Intelligence on Bloomberg Radio, providing in

0:25:52.600 --> 0:25:54.840
<v Speaker 1>depth research and data on two thousand companies and one

0:25:54.960 --> 0:25:57.720
<v Speaker 1>hundred and thirty industries. You can access Bloomberg Intelligence to

0:25:57.760 --> 0:25:59.639
<v Speaker 1>be a bi go on the terminal. I'm Paul Swinging

0:25:59.720 --> 0:26:00.920
<v Speaker 1>and Alex Steel.

0:26:00.680 --> 0:26:03.000
<v Speaker 4>And this is Bloomberg.

0:26:06.760 --> 0:26:10.520
<v Speaker 2>You're listening to Bloomberg Intelligence with Alex Steel.

0:26:10.280 --> 0:26:12.720
<v Speaker 1>And Paul Sweeney on Bloomberg Radio.

0:26:13.600 --> 0:26:14.800
<v Speaker 3>We move next to retail.

0:26:14.920 --> 0:26:17.520
<v Speaker 4>This week, dick Sporting Goods raised its outlook for the year,

0:26:17.640 --> 0:26:20.400
<v Speaker 4>reported quarterly sales it's their past analyst expectations.

0:26:20.680 --> 0:26:23.800
<v Speaker 1>This was due to strong demand for sports gear across categories,

0:26:23.880 --> 0:26:25.920
<v Speaker 1>even as athletic, where companies struggle.

0:26:26.280 --> 0:26:29.679
<v Speaker 4>Separately, the clothing retailer Abercrombie and Fitch also reported quarterly

0:26:29.720 --> 0:26:32.320
<v Speaker 4>sales that beat analyst estimates. For more on all of this,

0:26:32.440 --> 0:26:35.760
<v Speaker 4>we were joined by Lindsay Dutch Bloomberg Intelligence Consumer Hardlines, a

0:26:35.800 --> 0:26:36.600
<v Speaker 4>senior analyst.

0:26:36.800 --> 0:26:39.119
<v Speaker 1>We first asked A Lindsay why these companies are doing

0:26:39.200 --> 0:26:39.600
<v Speaker 1>so well.

0:26:39.920 --> 0:26:42.560
<v Speaker 11>I think when you think about the sporting goods, you know,

0:26:42.760 --> 0:26:46.440
<v Speaker 11>they do have a higher income sort of consumer base

0:26:46.920 --> 0:26:49.879
<v Speaker 11>and that definitely helps. They also sell sort of a

0:26:49.960 --> 0:26:53.200
<v Speaker 11>premium product, especially if you think about their footwear line,

0:26:53.520 --> 0:26:55.960
<v Speaker 11>and when we think about the consumer broadly, they are

0:26:56.119 --> 0:26:57.720
<v Speaker 11>you know, making some trade.

0:26:57.400 --> 0:26:59.359
<v Speaker 3>Offs, but people are still.

0:26:59.160 --> 0:27:03.280
<v Speaker 11>Willing to spend for that premium product, whether it be

0:27:03.320 --> 0:27:06.400
<v Speaker 11>in footwear or even if you're thinking about that apparel

0:27:06.480 --> 0:27:07.320
<v Speaker 11>like Abercrombie.

0:27:07.359 --> 0:27:10.560
<v Speaker 1>As you mentioned, how is there same store traffic? I

0:27:10.600 --> 0:27:12.720
<v Speaker 1>know in the retail space, that's important, So how was

0:27:12.760 --> 0:27:14.959
<v Speaker 1>it kind of in terms of the gross story traffic

0:27:15.040 --> 0:27:15.719
<v Speaker 1>versus pricing?

0:27:17.000 --> 0:27:19.520
<v Speaker 11>Right, So when you think about Dick's comp sales were

0:27:19.600 --> 0:27:21.960
<v Speaker 11>up over five percent in the quarter. That was a

0:27:22.000 --> 0:27:25.120
<v Speaker 11>surprise or really strong number. It was really driven by

0:27:25.240 --> 0:27:30.200
<v Speaker 11>number of transactions and ticket price. So they're seeing more

0:27:30.280 --> 0:27:33.600
<v Speaker 11>customers come in their door and those customers are spending

0:27:33.720 --> 0:27:37.320
<v Speaker 11>more and again I think that is driven by sort

0:27:37.320 --> 0:27:40.720
<v Speaker 11>of a broad assortment. If you're going in you're sort

0:27:40.760 --> 0:27:44.399
<v Speaker 11>of playing a new sport or continuing with your active wear,

0:27:44.800 --> 0:27:48.800
<v Speaker 11>like you're buying more things you know in that assortment

0:27:48.840 --> 0:27:50.280
<v Speaker 11>that Dix carries for you.

0:27:50.400 --> 0:27:53.119
<v Speaker 4>Really dumb question because you know I'm a big sports person.

0:27:53.280 --> 0:27:55.240
<v Speaker 4>That's not true, but like, why can't you just go

0:27:55.280 --> 0:27:57.280
<v Speaker 4>to like Target or Walmart for this stuff?

0:27:58.600 --> 0:28:01.040
<v Speaker 11>I think when you think about f letics, you know,

0:28:01.280 --> 0:28:06.880
<v Speaker 11>brands matter, performance matters, and I think, you know, when

0:28:06.920 --> 0:28:10.200
<v Speaker 11>I think about Dix's a great entry point when you're

0:28:10.240 --> 0:28:12.639
<v Speaker 11>starting or if your kids are starting a new sport.

0:28:13.119 --> 0:28:15.760
<v Speaker 11>You know, I'm a runner. If my kid is trying baseball,

0:28:15.800 --> 0:28:18.280
<v Speaker 11>I know nothing about baseball. I can go there and

0:28:18.320 --> 0:28:20.320
<v Speaker 11>figure out what do I need? And I can also

0:28:20.440 --> 0:28:22.159
<v Speaker 11>figure out, you know, where I want to be on

0:28:22.200 --> 0:28:23.080
<v Speaker 11>the price spectrum.

0:28:23.160 --> 0:28:23.360
<v Speaker 6>Right.

0:28:23.720 --> 0:28:26.000
<v Speaker 11>They have their own brands, so you can get sort

0:28:26.040 --> 0:28:28.080
<v Speaker 11>of a cheaper glove if you don't want that name

0:28:28.119 --> 0:28:30.679
<v Speaker 11>brand glove, and you can kind of get everything that

0:28:30.720 --> 0:28:33.800
<v Speaker 11>you need in one space. And I think that's where

0:28:33.920 --> 0:28:35.840
<v Speaker 11>Dix really does stand out.

0:28:36.400 --> 0:28:38.960
<v Speaker 1>How about inventories, How are they managing their inventories? Some

0:28:38.960 --> 0:28:43.160
<v Speaker 1>folks kind of surprisingly do a materially better job than

0:28:43.200 --> 0:28:44.400
<v Speaker 1>the others quarter to quarter.

0:28:44.880 --> 0:28:47.880
<v Speaker 11>Right, So when you think about this sporting industry as

0:28:47.880 --> 0:28:51.120
<v Speaker 11>a whole, it sounds like inventory is slightly better positioned

0:28:51.120 --> 0:28:54.160
<v Speaker 11>than it was about a year ago. Dicks in particular

0:28:54.760 --> 0:28:58.120
<v Speaker 11>seems very well positioned heading into the second quarter. Second

0:28:58.200 --> 0:29:02.000
<v Speaker 11>quarter is also seasonally better for that company when we

0:29:02.040 --> 0:29:03.920
<v Speaker 11>think about sort of the summer and like kind of

0:29:03.960 --> 0:29:06.960
<v Speaker 11>getting back to school, like fall sports kind of thing,

0:29:07.640 --> 0:29:10.320
<v Speaker 11>So inventory is in a better position. I think that's

0:29:10.360 --> 0:29:13.800
<v Speaker 11>helping Dix. I also think Dix has done a really

0:29:13.840 --> 0:29:18.040
<v Speaker 11>great job sort of scaling back promotions. They're not giving

0:29:18.040 --> 0:29:21.000
<v Speaker 11>out the discounts that they were pre pandemic. They've really

0:29:21.040 --> 0:29:23.680
<v Speaker 11>held a line on that and that has really helped

0:29:23.720 --> 0:29:26.760
<v Speaker 11>them in terms of profitability. Also, their consumer knows what

0:29:26.800 --> 0:29:28.760
<v Speaker 11>they're getting when they come there, so they're not just

0:29:28.800 --> 0:29:32.280
<v Speaker 11>like waiting for that fifty percent off deal. They know

0:29:32.680 --> 0:29:35.320
<v Speaker 11>when they go there, you know what brands might be

0:29:35.400 --> 0:29:37.560
<v Speaker 11>on sale, and that if they don't want to pay

0:29:37.720 --> 0:29:40.280
<v Speaker 11>full price for Nike, they might be able to get

0:29:40.320 --> 0:29:42.200
<v Speaker 11>their private label brand.

0:29:42.480 --> 0:29:45.440
<v Speaker 4>It was something similar with Abercrombie. Gross margin was sixty

0:29:45.480 --> 0:29:47.520
<v Speaker 4>six point four percent. Those higher than estimates.

0:29:47.760 --> 0:29:48.280
<v Speaker 3>Same deal.

0:29:48.360 --> 0:29:51.280
<v Speaker 4>Like, they're rolling back promotions and they have the power

0:29:51.320 --> 0:29:52.160
<v Speaker 4>with which to do that.

0:29:52.600 --> 0:29:53.680
<v Speaker 3>How is that possible?

0:29:53.800 --> 0:29:56.760
<v Speaker 4>Like I'm trying to distinguish what the macro read is

0:29:56.800 --> 0:29:59.040
<v Speaker 4>when like all indications point to a.

0:29:59.040 --> 0:30:01.600
<v Speaker 3>Discerning sol lowing consumer.

0:30:01.200 --> 0:30:04.080
<v Speaker 4>Base that is much more cash strapped and sensitive with

0:30:04.120 --> 0:30:08.479
<v Speaker 4>their wallet versus certain companies like Dick Sporting Goods or

0:30:08.480 --> 0:30:11.680
<v Speaker 4>Abercrombie and Fitch that have the power to keep their margins.

0:30:12.600 --> 0:30:15.280
<v Speaker 11>Yeah, it's so. I think sort of what happened is,

0:30:15.320 --> 0:30:17.600
<v Speaker 11>you know, in the pandemic, when we saw a surge

0:30:17.840 --> 0:30:20.800
<v Speaker 11>for in demand for a lot of these categories, sporting

0:30:20.800 --> 0:30:23.720
<v Speaker 11>goods and like athletic wear being one of them. You know,

0:30:23.760 --> 0:30:29.240
<v Speaker 11>these companies saw where their margins could go when demands

0:30:29.240 --> 0:30:31.400
<v Speaker 11>spike like that, and I think a lot of them

0:30:31.440 --> 0:30:35.560
<v Speaker 11>made a proactive decision that they would never go back

0:30:35.840 --> 0:30:39.880
<v Speaker 11>to that level of promotion that they had done before

0:30:40.040 --> 0:30:44.240
<v Speaker 11>in order to protect that profitability. Coming into twenty twenty four,

0:30:44.480 --> 0:30:49.600
<v Speaker 11>just broadly in retail, you know, profitability margins are majorly

0:30:49.680 --> 0:30:52.680
<v Speaker 11>in focus across the board because there is still pressure

0:30:52.720 --> 0:30:55.760
<v Speaker 11>on sales and everyone is looking to see how are

0:30:55.800 --> 0:30:58.760
<v Speaker 11>these companies managing margin, how are they managing costs? And

0:30:58.880 --> 0:31:02.200
<v Speaker 11>Dix has stood out there. I would say it's easier

0:31:02.320 --> 0:31:05.040
<v Speaker 11>for a company like Dix who has a higher income

0:31:05.840 --> 0:31:10.080
<v Speaker 11>customer base, or anybody that sort of has an assortment

0:31:10.120 --> 0:31:14.480
<v Speaker 11>that includes like a higher level premium type brand than

0:31:14.560 --> 0:31:17.200
<v Speaker 11>the retailers that are really trying to compete on value,

0:31:17.720 --> 0:31:21.120
<v Speaker 11>because if you have a value focused consumer and they

0:31:21.120 --> 0:31:24.680
<v Speaker 11>are only looking for the lowest price or the best deal,

0:31:24.800 --> 0:31:27.400
<v Speaker 11>it's very difficult to compete and you're going to have

0:31:27.560 --> 0:31:30.720
<v Speaker 11>to go back to that promotional environment. So you're sort

0:31:30.720 --> 0:31:35.440
<v Speaker 11>of seeing a split in strategy depending on what category

0:31:35.480 --> 0:31:38.240
<v Speaker 11>you're in. You know what level of assortment you have,

0:31:38.560 --> 0:31:41.200
<v Speaker 11>and you know whether you're going after that value customer

0:31:41.600 --> 0:31:44.440
<v Speaker 11>or whether you kind of hold firm try to protect

0:31:44.440 --> 0:31:48.480
<v Speaker 11>that margin and get that better sale, maybe more longevity

0:31:48.600 --> 0:31:51.200
<v Speaker 11>with a better consumer over time.

0:31:51.600 --> 0:31:54.760
<v Speaker 1>And for the retailers that you talk to in including Dix,

0:31:55.320 --> 0:31:57.400
<v Speaker 1>is there are there any supply chain issues left or

0:31:57.400 --> 0:31:59.200
<v Speaker 1>that is that all fixed?

0:31:59.240 --> 0:32:02.200
<v Speaker 11>I guess I think in sporting goods we're not really

0:32:02.240 --> 0:32:05.880
<v Speaker 11>seeing a lot of supply chain issues anymore. We've seen

0:32:06.040 --> 0:32:09.080
<v Speaker 11>transportation costs start to come down actually in the second

0:32:09.120 --> 0:32:12.200
<v Speaker 11>half of last year. Many retailers in the space are

0:32:12.240 --> 0:32:15.959
<v Speaker 11>still benefiting from those lower costs again helping the margin

0:32:16.480 --> 0:32:19.520
<v Speaker 11>this year, and that is where we're seeing some of

0:32:19.600 --> 0:32:21.840
<v Speaker 11>the improvement on that profit line.

0:32:22.120 --> 0:32:22.320
<v Speaker 5>All right.

0:32:22.360 --> 0:32:25.840
<v Speaker 4>Thanks to Lindsay Dutch Bloomberg intelligence, consumer hardline senior analyst.

0:32:25.960 --> 0:32:28.880
<v Speaker 1>Return now to Elon Musk and the ev giant Tesla.

0:32:28.960 --> 0:32:31.840
<v Speaker 1>The company appears to be in disarray as its stock

0:32:31.920 --> 0:32:34.720
<v Speaker 1>has been creatoring, sales have been weak, and some investors

0:32:34.760 --> 0:32:36.600
<v Speaker 1>say it has a distracted leader.

0:32:36.640 --> 0:32:38.520
<v Speaker 4>But what about some of the other companies that CEO

0:32:38.560 --> 0:32:41.280
<v Speaker 4>Elon Musk runs, like X and SpaceX. This is the

0:32:41.320 --> 0:32:44.080
<v Speaker 4>subject of a big Take piece this week titled Tesla's

0:32:44.080 --> 0:32:47.560
<v Speaker 4>Slump Exposes Elon Musk's distractions across his empire.

0:32:47.760 --> 0:32:49.920
<v Speaker 1>We were joined by one of the pieces co authors,

0:32:49.920 --> 0:32:52.920
<v Speaker 1>Bloomberg Tech reporter Kurt Wagner. We first asked Kurt for

0:32:53.000 --> 0:32:54.680
<v Speaker 1>more context on his story.

0:32:54.960 --> 0:32:58.040
<v Speaker 12>A big part of what you know working for Elon

0:32:58.200 --> 0:33:00.600
<v Speaker 12>is all about, is sort of working for Elon everywhere

0:33:00.680 --> 0:33:03.360
<v Speaker 12>he needs you, right, So you might be employed technically

0:33:03.400 --> 0:33:06.000
<v Speaker 12>by Tesla, but you might show up on you know,

0:33:06.040 --> 0:33:09.320
<v Speaker 12>a SpaceX project or an X project. And I think,

0:33:09.520 --> 0:33:12.360
<v Speaker 12>you know, not only are the people that he works

0:33:12.360 --> 0:33:14.880
<v Speaker 12>with sort of hovering around and all these various roles,

0:33:14.880 --> 0:33:17.600
<v Speaker 12>but I think his companies are becoming closer and closer together.

0:33:17.640 --> 0:33:19.960
<v Speaker 12>And that's why it's so important that you know when

0:33:20.000 --> 0:33:23.240
<v Speaker 12>Tesla is struggling, it has this trickle effect because that's

0:33:23.280 --> 0:33:26.280
<v Speaker 12>where he gets his wealth to fund XAI, to to

0:33:26.480 --> 0:33:29.000
<v Speaker 12>you know, deal with X, to deal with SpaceX, and so,

0:33:29.480 --> 0:33:31.160
<v Speaker 12>you know, what we wanted to sort of do is

0:33:31.200 --> 0:33:33.680
<v Speaker 12>show people that all of these different companies and all

0:33:33.680 --> 0:33:36.400
<v Speaker 12>the people who work them are interconnected. And we try

0:33:36.440 --> 0:33:38.960
<v Speaker 12>to do that with a pretty cool visual graphic that

0:33:39.440 --> 0:33:40.840
<v Speaker 12>folks can see on the website.

0:33:41.000 --> 0:33:44.040
<v Speaker 1>Kurt, what is the musconomy to find that?

0:33:44.520 --> 0:33:48.760
<v Speaker 12>Yeah, it's a term that represents or reflects these six

0:33:48.880 --> 0:33:53.640
<v Speaker 12>different businesses that he's running at any given time, and again,

0:33:53.800 --> 0:33:56.479
<v Speaker 12>sort of this idea that they all work together. They

0:33:57.000 --> 0:34:00.400
<v Speaker 12>they you know, in X's case, the data from X

0:34:00.440 --> 0:34:03.000
<v Speaker 12>which used to be called Twitter, is now sort of

0:34:03.000 --> 0:34:04.760
<v Speaker 12>powering XAI his startup.

0:34:04.920 --> 0:34:05.120
<v Speaker 5>Right.

0:34:05.360 --> 0:34:08.279
<v Speaker 12>The money from Tesla has historically been used to help

0:34:08.320 --> 0:34:11.960
<v Speaker 12>fund SpaceX and his purchase of X. And again, you

0:34:12.080 --> 0:34:16.280
<v Speaker 12>see the musconomy as this collection of businesses that Elon

0:34:16.400 --> 0:34:19.440
<v Speaker 12>runs and how they are all intertwined with one another.

0:34:19.760 --> 0:34:22.080
<v Speaker 3>Do the people in his orbit do they like this?

0:34:22.560 --> 0:34:23.760
<v Speaker 3>Like that to me sounds terrible.

0:34:23.960 --> 0:34:26.040
<v Speaker 4>Like I like predictability, which I know as funny as

0:34:26.080 --> 0:34:28.160
<v Speaker 4>I work in news. I like predictability. I like to

0:34:28.160 --> 0:34:29.480
<v Speaker 4>know what I'm doing. I do not want to be

0:34:29.520 --> 0:34:32.759
<v Speaker 4>pulled in seventeen thousand directions. Do people in his orbit like.

0:34:32.719 --> 0:34:36.400
<v Speaker 12>That, Well, I think the people at the very center

0:34:36.480 --> 0:34:38.800
<v Speaker 12>of this universe, the people who are closest to Elon.

0:34:39.280 --> 0:34:41.919
<v Speaker 12>Whether they like it or not, it's sort of a necessity, right,

0:34:41.960 --> 0:34:44.160
<v Speaker 12>because that's what it takes to be close to that

0:34:44.280 --> 0:34:46.880
<v Speaker 12>center of power. And so we've seen, for example, his

0:34:47.000 --> 0:34:50.680
<v Speaker 12>business manager Jared Burchell shows up pretty much across all

0:34:50.680 --> 0:34:53.279
<v Speaker 12>of these different companies. His lawyer Alex Spiro shows up

0:34:53.280 --> 0:34:55.759
<v Speaker 12>across all of these companies. So if you want to

0:34:55.800 --> 0:34:58.480
<v Speaker 12>be at the center of this universe, you have to

0:34:58.520 --> 0:35:00.920
<v Speaker 12>be willing to go where Elon go. And as we know,

0:35:01.040 --> 0:35:02.920
<v Speaker 12>he not only has these six companies, but he's doing

0:35:02.960 --> 0:35:05.279
<v Speaker 12>a million other things as well. And so whether they

0:35:05.320 --> 0:35:07.600
<v Speaker 12>like it or not, I'm not sure if it really matters,

0:35:07.880 --> 0:35:10.280
<v Speaker 12>because that's just what it takes to work for Elon Musk.

0:35:10.520 --> 0:35:11.239
<v Speaker 3>How do they all?

0:35:11.320 --> 0:35:15.640
<v Speaker 4>How do all the businesses though intersect? Because from a

0:35:15.680 --> 0:35:18.080
<v Speaker 4>broad look they don't. But then if you dive a

0:35:18.120 --> 0:35:20.719
<v Speaker 4>little deeper like they do, like X, you can use

0:35:20.760 --> 0:35:23.480
<v Speaker 4>all that stuff for large language models, for his AI

0:35:23.560 --> 0:35:25.760
<v Speaker 4>stuff and the AI stuff goes into the car stuff,

0:35:25.760 --> 0:35:27.640
<v Speaker 4>and the car stuff I guess goes into the rocket

0:35:27.640 --> 0:35:28.240
<v Speaker 4>ship stuff.

0:35:28.840 --> 0:35:30.839
<v Speaker 12>Yeah, I mean you kind of hit on it. Like

0:35:30.960 --> 0:35:34.560
<v Speaker 12>the connective tissue between these companies can be somewhat small.

0:35:34.920 --> 0:35:37.359
<v Speaker 12>In X's case, as you pointed out that data there

0:35:37.440 --> 0:35:41.799
<v Speaker 12>is being used to train a chatbot called Grock within XAI.

0:35:42.280 --> 0:35:45.359
<v Speaker 12>We know that, for example, the corporate plane, like small things,

0:35:45.400 --> 0:35:48.000
<v Speaker 12>the corporate plane that Elon uses at Tesla's the same

0:35:48.040 --> 0:35:50.160
<v Speaker 12>one that's used at SpaceX. We know that they share

0:35:50.239 --> 0:35:54.000
<v Speaker 12>certain employees, so you know, I mentioned Jared Burchell, his

0:35:54.080 --> 0:35:57.279
<v Speaker 12>business manager, Alex Biro, his lawyer. Like these are the

0:35:57.320 --> 0:36:00.480
<v Speaker 12>types of connective things that bring these companies together. Is

0:36:00.520 --> 0:36:03.440
<v Speaker 12>the people and and sort of you know, the smaller

0:36:03.480 --> 0:36:06.680
<v Speaker 12>parts of their business that are intertwined. And I feel

0:36:06.760 --> 0:36:09.640
<v Speaker 12>like Tesla is sort of the engine behind this whole thing.

0:36:09.760 --> 0:36:11.960
<v Speaker 12>If Tesla is humming and doing well, it kind of

0:36:12.040 --> 0:36:13.560
<v Speaker 12>enables everything else to grow too.

0:36:14.280 --> 0:36:17.040
<v Speaker 1>How about Twitter? You bought that for forty four billion dollars.

0:36:17.239 --> 0:36:19.200
<v Speaker 1>Kurt and a lot of analysts says the value of

0:36:19.200 --> 0:36:23.480
<v Speaker 1>Twitter's declined dramatically as advertisers have fled. Is there any

0:36:23.600 --> 0:36:26.640
<v Speaker 1>pushback from anybody or or folks just saying, hey, it

0:36:26.719 --> 0:36:28.279
<v Speaker 1>was his money, he can do with it what he wants.

0:36:28.680 --> 0:36:31.360
<v Speaker 12>Yeah, I mean, I do think it poses a challenge

0:36:31.400 --> 0:36:34.600
<v Speaker 12>because of this distraction with Elon's time, right. I think,

0:36:34.760 --> 0:36:37.400
<v Speaker 12>especially if you're a Tesla investor, you have to be

0:36:37.440 --> 0:36:40.360
<v Speaker 12>scratching your head and saying, what are you doing? You know,

0:36:40.440 --> 0:36:43.080
<v Speaker 12>why are you spending time on this money losing business

0:36:43.120 --> 0:36:45.520
<v Speaker 12>when you could be sort of you know, making money

0:36:45.520 --> 0:36:49.279
<v Speaker 12>for shareholders over here. And I think it's you know,

0:36:49.520 --> 0:36:51.799
<v Speaker 12>becoming a bit of a problem. I think what will

0:36:51.840 --> 0:36:54.880
<v Speaker 12>be interesting is to see whether X sort of gets

0:36:55.000 --> 0:36:58.479
<v Speaker 12>folded into x AI at some point. I could see

0:36:58.480 --> 0:37:01.040
<v Speaker 12>those two companies sort of merge so that you know,

0:37:01.080 --> 0:37:04.400
<v Speaker 12>again X provides the data for these large language models,

0:37:04.560 --> 0:37:06.560
<v Speaker 12>but it sort of gives him some cover to spend

0:37:06.640 --> 0:37:09.240
<v Speaker 12>time in X because now it's part of the AI business,

0:37:09.280 --> 0:37:11.719
<v Speaker 12>which is much more exciting, I think, for people than

0:37:11.760 --> 0:37:14.480
<v Speaker 12>the free speech business, which hasn't been very lucrative for him.

0:37:15.000 --> 0:37:17.400
<v Speaker 3>The free speech Businessho's in the free speech business? Like,

0:37:17.440 --> 0:37:18.760
<v Speaker 3>what is that mental lawyers?

0:37:19.040 --> 0:37:21.479
<v Speaker 12>That is Elon? Elon is the is in the free

0:37:21.480 --> 0:37:22.320
<v Speaker 12>speech business.

0:37:22.360 --> 0:37:22.800
<v Speaker 8>I guess.

0:37:22.880 --> 0:37:26.000
<v Speaker 4>So in your reporting, what emerges the biggest problem or

0:37:26.000 --> 0:37:26.720
<v Speaker 4>the biggest question.

0:37:27.280 --> 0:37:30.040
<v Speaker 12>Yeah, I think really it comes down to kind of

0:37:30.040 --> 0:37:32.000
<v Speaker 12>this we I haven't really talked much about this yet,

0:37:32.000 --> 0:37:35.520
<v Speaker 12>but Elon's pay package at Tesla is sort of up

0:37:35.560 --> 0:37:36.600
<v Speaker 12>for debate.

0:37:36.840 --> 0:37:37.000
<v Speaker 5>Right.

0:37:37.080 --> 0:37:39.000
<v Speaker 12>You may remember he was supposed to be paid I

0:37:39.040 --> 0:37:42.759
<v Speaker 12>believe it was fifty six billion dollars and that pay

0:37:42.840 --> 0:37:45.200
<v Speaker 12>package was I believe set up in twenty eighteen. It's

0:37:45.239 --> 0:37:48.680
<v Speaker 12>been challenged in court and a judge basically said this

0:37:48.719 --> 0:37:52.240
<v Speaker 12>isn't a fair you know, compensation, and Elon is fighting

0:37:52.239 --> 0:37:54.120
<v Speaker 12>this in court. But it's a huge deal, not only

0:37:54.160 --> 0:37:57.560
<v Speaker 12>because it's you know, his own net worth, but because

0:37:57.560 --> 0:38:00.640
<v Speaker 12>that money is then used to fund many of these

0:38:00.640 --> 0:38:03.520
<v Speaker 12>other projects. So if he's not able to secure this

0:38:03.680 --> 0:38:06.560
<v Speaker 12>pay package that he thought he had, it impacts the

0:38:06.600 --> 0:38:09.640
<v Speaker 12>loans that he takes out and impacts his liquidity to

0:38:09.719 --> 0:38:11.680
<v Speaker 12>be able to use on these other companies. And I

0:38:11.719 --> 0:38:14.759
<v Speaker 12>do wonder if he starts to lose a lot of

0:38:14.800 --> 0:38:17.279
<v Speaker 12>his net worth, his value, if that's going to have

0:38:17.280 --> 0:38:20.400
<v Speaker 12>an impact on XAI, Twitter, SpaceX and others.

0:38:20.719 --> 0:38:22.880
<v Speaker 3>All Right, Thanks to Kurt Wagner, Bloomberg Tech Reporter.

0:38:23.280 --> 0:38:26.040
<v Speaker 1>That's this week's edition of Bloomberg Intelligence on Bloomberg Radio

0:38:26.120 --> 0:38:28.520
<v Speaker 1>providing in depth research and data on two thousand companies

0:38:28.560 --> 0:38:29.880
<v Speaker 1>and one hundred and thirty industries.

0:38:29.960 --> 0:38:32.640
<v Speaker 4>And remember you can access Bloomberg Intelligence through Bigo on

0:38:32.680 --> 0:38:34.200
<v Speaker 4>the terminal. I'm Alex Steel and.

0:38:34.200 --> 0:38:34.960
<v Speaker 1>I'm Paul Sweeney.

0:38:35.120 --> 0:38:35.680
<v Speaker 8>Stay with us.

0:38:35.719 --> 0:38:38.359
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