WEBVTT - SCOTUS Tax Ruling, US Housing

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Along the watch for some Supreme Court rulings here today

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<v Speaker 2>we did get one. The US Supreme Court up held

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<v Speaker 2>a twenty seventeen tax on American owned business foreign profits.

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<v Speaker 2>June Grosso, Bloomberg Legal analyst that joins us here in

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<v Speaker 2>our studio.

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<v Speaker 3>Not one of the world.

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<v Speaker 4>Sexy ones, but not even on the most watch lists,

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<v Speaker 4>maybe on Bloomberg's most watch These are taxes right. Berties care,

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<v Speaker 4>but the average American citizen who's looking for the hot

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<v Speaker 4>button issues doesn't care about this. I mean, if they

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<v Speaker 4>had not ruled this way, it would have sent the

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<v Speaker 4>Internal Revenue Service into a frenzy trying to, you know,

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<v Speaker 4>restore taxes that were paid and also some of the

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<v Speaker 4>you know, the rules that they have. So this basically

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<v Speaker 4>was a two people who owned a minority stake in

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<v Speaker 4>an Indian company in India, and they said that they

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<v Speaker 4>shouldn't have to pay the taxes that were allocated to

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<v Speaker 4>them because they hadn't gotten any profits from the company.

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<v Speaker 4>And you know, this is the sixteenth Amendment, which I

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<v Speaker 4>can't read. I think law school was the last time

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<v Speaker 4>I ever heard about the sixteenth Amendment. And so you know,

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<v Speaker 4>the justice it says, this is no different than any

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<v Speaker 4>other tax. And the fear was that this would enable

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<v Speaker 4>a wealth tax, if a wealth tax ever comes. And

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<v Speaker 4>that was the only fear really from this case. So

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<v Speaker 4>it's seven to two. That tells you that there wasn't

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<v Speaker 4>much problem.

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<v Speaker 5>And what else are we waiting for?

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<v Speaker 4>What are those hot wepon issues over my gosh, we're

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<v Speaker 4>waiting Well, first of all, we're waiting for the abortion

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<v Speaker 4>case from Idaho about state law that basically, you know,

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<v Speaker 4>makes it only possible to have an abortion if the

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<v Speaker 4>life of the mother there's in jeopardy. We're waiting for

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<v Speaker 4>a gun rights case, which is based on the Second Amendment,

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<v Speaker 4>which is whether there's a there's a law, a federal

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<v Speaker 4>law that people who have domestic violence abuse charges against

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<v Speaker 4>them or who have this the man in this case

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<v Speaker 4>had a domestic violence temporary restraining order can't have a gun.

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<v Speaker 4>That's another one. There's there the Texas and Florida social

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<v Speaker 4>media cases. You know, whether or not social media companies

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<v Speaker 4>are allowed to look at what they have and pick

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<v Speaker 4>from what they have and knock things off their platform.

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<v Speaker 4>There's also there's a case that will make people's eyes

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<v Speaker 4>sort of glaze over, but it's really really important. It

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<v Speaker 4>involves something called Chevron defference. And this involves every agency agencies,

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<v Speaker 4>whether or not you're going to give deference to an

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<v Speaker 4>agency's interpretation of a law that's ambiguous, or whether the

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<v Speaker 4>court should be the one to interpret it. And so

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<v Speaker 4>if and the several of the Conservative justice have been

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<v Speaker 4>trying to get rid of Chevron deference for years and

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<v Speaker 4>the question is whether or not. And it's something that

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<v Speaker 4>conservatives have been trying to do because they don't like

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<v Speaker 4>agency authority isn't a.

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<v Speaker 5>Part because of the EPA, right, because the PLA has

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<v Speaker 5>like large light. I know, it goes all across it's.

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<v Speaker 4>The EPA, it's banking, social security, you name it. Would

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<v Speaker 4>anything involving an agency this would affect. And I think

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<v Speaker 4>the Labor Department is the department that has already started

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<v Speaker 4>not relying on Chevron deference in proposing rules because they're

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<v Speaker 4>afraid of what the Supreme Court may do here. I

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<v Speaker 4>have to look up, but I think it is a

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<v Speaker 4>labor department.

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<v Speaker 3>June Grosso, Bloomberg Legal Analyst.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 2>You also want to get to some of that economic

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<v Speaker 2>data that broke earlier Today, new home construction in the

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<v Speaker 2>US slumped and made to the slowest pace in four years,

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<v Speaker 2>as higher for longer interest rates sapped the housing industry's momentum.

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<v Speaker 3>From earlier this year. Drew reading, we pay.

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<v Speaker 2>Him to do this stuff. He's a home builder analyst

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<v Speaker 2>at Bloomberg Intelligence. Drew what's happening in the home building business?

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<v Speaker 3>Construction?

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<v Speaker 6>Yeah, so a pretty big myths on the headline today

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<v Speaker 6>on the housing starts number, not all that surprising. You

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<v Speaker 6>have to remember rates went up to seven and a

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<v Speaker 6>half percent last month and they're still hovering at around

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<v Speaker 6>seven percent. We also had some week data on the

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<v Speaker 6>home builder confidence side, you know, but these numbers are

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<v Speaker 6>also being impacted by you want to parse out what's

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<v Speaker 6>happening in this single family side versus the multifamily side,

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<v Speaker 6>and the way we tend to look at it is

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<v Speaker 6>non seasonally ad just on a year of a year basis.

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<v Speaker 6>So we had total starts down twenty percent, which is

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<v Speaker 6>a pretty big number, but single family starts were actually

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<v Speaker 6>up three percent and multi family is down fifty seven percent.

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<v Speaker 7>So that's a lot of.

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<v Speaker 6>The story right there. And if you look here to date,

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<v Speaker 6>starts are down about four percent, single families up nineteen,

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<v Speaker 6>multi families down forty. So that dynamic is one thing

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<v Speaker 6>at play. The other thing that we've talked about in

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<v Speaker 6>the past is the relative advantage of the big, well capitalized,

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<v Speaker 6>publicly traded home builders. And we just had some data

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<v Speaker 6>from Lenar who just reported results which lines up nicely

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<v Speaker 6>with what we got just got on housing starts, and

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<v Speaker 6>if you look at over the last six months, their

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<v Speaker 6>starts are up about twenty percent year every year. So

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<v Speaker 6>you know a couple of stories. It's the single family

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<v Speaker 6>side and then it's the big public builders.

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<v Speaker 5>Well, what do we learned from KB home on that front,

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<v Speaker 5>because that usually caters to sort of the entry level buyer.

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<v Speaker 5>Lenar are more high end.

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<v Speaker 6>Yeah, KB had great results pretty much across the board.

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<v Speaker 6>You know, their results told us that demands remained strong,

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<v Speaker 6>that buyers are still responding to the use of incentives.

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<v Speaker 6>It also tells us that incentives probably aren't going away

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<v Speaker 6>in the near term. You know, when we came into

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<v Speaker 6>the first quarter, there was an expectation that, hey, look,

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<v Speaker 6>rates came down to you know, six and three quarters,

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<v Speaker 6>maybe builders are going to be able to pull back

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<v Speaker 6>on their use of incentives a little bit and that

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<v Speaker 6>would help margins in the back half of the year.

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<v Speaker 6>But it looks like with rates back at seven they're

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<v Speaker 6>going to remain elevated, which will put a little bit

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<v Speaker 6>of pressure on margin. So it's it's a demand versus

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<v Speaker 6>margin story, and buyers are still responding to incentives.

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<v Speaker 2>True kind of where are we in this country in

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<v Speaker 2>terms of supply of housing? I know for a while

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<v Speaker 2>the story had been we're at a deficit, there's not

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<v Speaker 2>enough housing.

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<v Speaker 3>Is that still the case?

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<v Speaker 6>Yeah, that's a great question. And you know, one of

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<v Speaker 6>the main speaking points for the builders was there's nothing

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<v Speaker 6>for sale on the existing home side. People don't want

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<v Speaker 6>to list their homes because they don't want to trade

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<v Speaker 6>in their rate. We're starting to see a little bit

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<v Speaker 6>of a shift there. If you look across the country,

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<v Speaker 6>inventories are up about thirteen percent in the last month.

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<v Speaker 6>That being said, if you take a step back, they're

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<v Speaker 6>still down about thirty percent from pre pandemic levels. But

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<v Speaker 6>what's interesting is kind of what's happening across the US

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<v Speaker 6>and if you look at certain markets, you're starting to see,

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<v Speaker 6>you know, some warning signs and you know, some of

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<v Speaker 6>the ones that come to mind our Texas and Florida.

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<v Speaker 6>You know, in Florida you've got inventories in some cases

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<v Speaker 6>rising over fifty percent wow, and are actually above twenty

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<v Speaker 6>nineteen levels by you know, fifty to seventy five percent.

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<v Speaker 6>A lot of that's concentrated in some of the West

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<v Speaker 6>and Southwest markets. But it's something certainly to keep an

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<v Speaker 6>eye on because you know, as that inventory increases, the

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<v Speaker 6>advantage builders have had diminishes.

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<v Speaker 5>Huh, that's interesting. What are some of the other sort

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<v Speaker 5>of hot spot areas. We had a great piece out

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<v Speaker 5>talking about was it Tennessee? Was a Tennessee that is

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<v Speaker 5>attracting all the people from the west and east coast

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<v Speaker 5>and it's sort of pricing out all the people that

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<v Speaker 5>actually live there. Like, how do big waves like this

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<v Speaker 5>like we saw in Texas, like we did see in Florida,

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<v Speaker 5>how does that wind up affecting the housing market.

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<v Speaker 6>Yeah, there has been a lot of movement out of

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<v Speaker 6>some of those high cost markets, you know, from coastal

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<v Speaker 6>California and maybe Inland and then it's like Las Vegas

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<v Speaker 6>and Phoenix. But we're seeing from a demand perspective is

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<v Speaker 6>kind of interesting. At the national level, demand in the

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<v Speaker 6>new home market has been relatively strong across the board,

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<v Speaker 6>but we have seen markets kind of move in cycles.

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<v Speaker 6>So if you look at the hardest hit markets back

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<v Speaker 6>in you know, the second half of twenty twenty two

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<v Speaker 6>when rates really shot up, you had you know, California, Washington,

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<v Speaker 6>all the markets across the southwest. Those have actually come

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<v Speaker 6>back pretty strong. And it's now some of the markets

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<v Speaker 6>that were leading. You think about the Texas is and

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<v Speaker 6>the Florida's, which are the two largest markets, are now

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<v Speaker 6>starting to soften a little bit from both a pricing

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<v Speaker 6>and a sales perspective as inventories start to rise. So

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<v Speaker 6>you know, those markets big picture are still benefiting from

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<v Speaker 6>out migration into some of the lower cost markets. That's

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<v Speaker 6>why you've seen the Southeast and Florida do so well.

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<v Speaker 6>But at the same time we are starting to see

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<v Speaker 6>a little bit of slow down there.

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<v Speaker 2>You know, a friend of mine just put her house

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<v Speaker 2>on the market yesterday and I told her, I don't

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<v Speaker 2>eve think you can get to your open house on Saturday.

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<v Speaker 2>I think you can have like a Jillian Offers come

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<v Speaker 2>in and you're gonna get So we'll see.

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<v Speaker 3>I'll check in.

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<v Speaker 2>But just one of the things, you just don't see

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<v Speaker 2>existing inventory coming off to the market that much. When

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<v Speaker 2>it does, particularly in a you know, a pretty middle

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<v Speaker 2>of the road price range.

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<v Speaker 3>I got to think it's just going to be snapped.

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<v Speaker 5>Up, like versus six percent. Interest rate doesn't matter as

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<v Speaker 5>much anymore as what you're.

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<v Speaker 3>Saying, Yeah, yeah, yeah, I don't know. We'll have to see.

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<v Speaker 2>So, Drew, is there a sense that rates have to

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<v Speaker 2>come down for existing homes to really move well?

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<v Speaker 6>I think you want to see rates get into that

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<v Speaker 6>six and a half percent at least to see things

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<v Speaker 6>start to loosen up a little bit. But what's just

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<v Speaker 6>what's interesting, and Alex you mentioned it six verse seven.

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<v Speaker 6>There's not a whole heck of a lot of difference there.

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<v Speaker 6>And you have to remember the people coming too the

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<v Speaker 6>market now are coming with that higher rate mindset versus

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<v Speaker 6>you know what they were a couple of years ago.

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<v Speaker 6>So people have certainly started to adjust. And at the

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<v Speaker 6>same time, you know, we're still transacting at these higher

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<v Speaker 6>interest rate levels, So that mortgage rate lock and effect

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<v Speaker 6>that we've talked about previously, you know, it starts to

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<v Speaker 6>gradually loose in a little bit because you've had more

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<v Speaker 6>buyers purchasing at higher rates.

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<v Speaker 5>All right, really great stuff drew you the best. We

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<v Speaker 5>appreciate you, Adurenni. He covers home building for a Bloomberg Intelligence.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 1>weekdays at ten am Eastern on Apple card Playing and

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<v Speaker 1>Broud Auto with the Bloomberg Business App. Listen on demand

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<v Speaker 2>Alex Delpaul swinging' live here on our Bloomberg Interactor Brokers Studio.

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<v Speaker 3>I'm gonna story here. Denlt Technology shares rose Thursday.

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<v Speaker 2>After chiefing the second officer, Michael Dell said the company

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<v Speaker 2>is building a Dell AI factory for Elon Mus's startup

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<v Speaker 2>XAI alongside Nvidio Corp. A lot of big names. In

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<v Speaker 2>the first opening sentence there stick in with Woojin Hoo.

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<v Speaker 2>He covers all the tech stuff for Bloomberg Intelligence, Which

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<v Speaker 2>what's going on here with Michael Dell.

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<v Speaker 7>Yeah, so Michael actually posted a Twitter post on some

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<v Speaker 7>of his AI server racks that's going to go over

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<v Speaker 7>to XA, which is Elon musk AI startup. Uh. Elon

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<v Speaker 7>Mus actually followed up is saying, hey, yeah, this is happening,

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<v Speaker 7>but we're only gonna split. We're gonna split the deal

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<v Speaker 7>with both Dell and super Micro, and you're seeing super

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<v Speaker 7>Micro rise as well.

0:11:16.160 --> 0:11:18.480
<v Speaker 5>Can you just walk me through like what this all

0:11:18.520 --> 0:11:20.959
<v Speaker 5>looks like? Like when I hear that headline and they're

0:11:20.960 --> 0:11:24.680
<v Speaker 5>gonna plot provide servers for AI x tech whatever Twitter

0:11:24.840 --> 0:11:25.360
<v Speaker 5>Musk thing?

0:11:25.440 --> 0:11:25.920
<v Speaker 3>What is that?

0:11:27.000 --> 0:11:27.240
<v Speaker 6>Yeah?

0:11:27.320 --> 0:11:32.199
<v Speaker 7>So, so essentially you need specialized servers to help build

0:11:32.480 --> 0:11:35.640
<v Speaker 7>or help support large language models. If you think about

0:11:35.640 --> 0:11:38.840
<v Speaker 7>the AI build out over at Meta or at Google, uh,

0:11:38.920 --> 0:11:42.839
<v Speaker 7>you need you know, hundreds, well thousands of GPUs to

0:11:42.840 --> 0:11:45.559
<v Speaker 7>help support it. And each of these server racks are

0:11:45.600 --> 0:11:49.000
<v Speaker 7>going from roughly one hundred thousand per rack for a

0:11:49.040 --> 0:11:51.880
<v Speaker 7>traditional server rack, and what I calculate it is gonna

0:11:51.880 --> 0:11:54.600
<v Speaker 7>go to about a million dollars per rack all closer together.

0:11:54.760 --> 0:11:58.360
<v Speaker 7>So you know, you know, we've published that this one

0:11:58.520 --> 0:12:01.880
<v Speaker 7>deal could be upwards of billion dollars split two ways

0:12:02.480 --> 0:12:03.720
<v Speaker 7>between Dell and super Micro.

0:12:04.400 --> 0:12:06.640
<v Speaker 3>All right, I'm going to ask the out steal question.

0:12:06.720 --> 0:12:08.880
<v Speaker 2>As I'm looking at this photograph that was part of

0:12:08.920 --> 0:12:13.040
<v Speaker 2>the Twitter spot for mister Dell. I see a big factory, lights,

0:12:13.600 --> 0:12:17.760
<v Speaker 2>air conditioning, all that kind of stuff. I mean, how

0:12:17.800 --> 0:12:19.240
<v Speaker 2>are they going to power all this stuff? Did they

0:12:19.240 --> 0:12:20.319
<v Speaker 2>ever have to talk about that?

0:12:20.640 --> 0:12:21.760
<v Speaker 5>I love you asked this question.

0:12:22.720 --> 0:12:28.679
<v Speaker 7>Yeah, well, look, Elon Musk, I've actually seen some of

0:12:28.720 --> 0:12:31.600
<v Speaker 7>the layouts or where this AI factory may be going to,

0:12:32.240 --> 0:12:36.280
<v Speaker 7>and they've actually allocated the power for that. Now. Near term,

0:12:36.640 --> 0:12:41.000
<v Speaker 7>I think the power needs should be fulfilled. You don't

0:12:41.040 --> 0:12:43.520
<v Speaker 7>do the planning without the power. But longer term, I

0:12:44.080 --> 0:12:47.400
<v Speaker 7>do think there might be some issues in terms of

0:12:47.440 --> 0:12:50.400
<v Speaker 7>getting the land necessary, the data center land necessary to

0:12:50.400 --> 0:12:53.800
<v Speaker 7>build out these AI data centers because of the amount

0:12:53.800 --> 0:12:56.520
<v Speaker 7>of power that they're going to suck up. Some solutions

0:12:56.559 --> 0:13:01.080
<v Speaker 7>may be nuclear, small nuclear power plants or set aside

0:13:01.840 --> 0:13:05.600
<v Speaker 7>to these data centers. But there's some regulatory issues along

0:13:05.600 --> 0:13:05.880
<v Speaker 7>with that.

0:13:06.040 --> 0:13:08.280
<v Speaker 5>I thought I was reading that potentially something might be

0:13:08.320 --> 0:13:10.800
<v Speaker 5>sent to President Biden today that would make it easier

0:13:11.360 --> 0:13:13.440
<v Speaker 5>for nuclear and I wonder if that's all sort of

0:13:13.440 --> 0:13:16.840
<v Speaker 5>playing into the energy transition, but also the big data centers.

0:13:17.240 --> 0:13:19.520
<v Speaker 5>So you said it could be worth as a three billion,

0:13:19.840 --> 0:13:22.760
<v Speaker 5>So they enter into this agreement, when does like Adell

0:13:23.240 --> 0:13:25.920
<v Speaker 5>and super Micro book that revenue, Like, does that show

0:13:26.000 --> 0:13:27.200
<v Speaker 5>up on its order book?

0:13:28.320 --> 0:13:31.920
<v Speaker 7>Well, I wouldn't be surprised. That's already in the backlog numbers. Okay,

0:13:32.640 --> 0:13:35.680
<v Speaker 7>in their backlog numbers today. One of the things, the

0:13:35.720 --> 0:13:38.240
<v Speaker 7>metric that I'll share with you is that they did

0:13:38.280 --> 0:13:40.560
<v Speaker 7>one point Dell did one point five billion dollars in

0:13:40.600 --> 0:13:44.559
<v Speaker 7>AI server sales in calendar twenty twenty three. I have

0:13:44.679 --> 0:13:46.920
<v Speaker 7>them going in around seven point six billion dollars in

0:13:47.000 --> 0:13:51.679
<v Speaker 7>calendar twenty twenty four. Super Micro they're probably on pace too,

0:13:51.679 --> 0:13:55.840
<v Speaker 7>about eighteen billion dollars in calendar twenty twenty four. What

0:13:55.880 --> 0:13:58.360
<v Speaker 7>this is telling me is that not only are you

0:13:58.440 --> 0:14:01.679
<v Speaker 7>getting more AI or larger AI server deals, but you're

0:14:01.679 --> 0:14:03.720
<v Speaker 7>getting more AI server deals going forward.

0:14:04.320 --> 0:14:08.520
<v Speaker 2>So Dell, super Micro those are two ways to play.

0:14:08.720 --> 0:14:10.640
<v Speaker 2>What else in your space kind of fits into that

0:14:10.720 --> 0:14:11.520
<v Speaker 2>AI theme here?

0:14:12.320 --> 0:14:16.600
<v Speaker 7>Well, I mean, you know, my colleague Countries Obiani, he

0:14:16.640 --> 0:14:20.840
<v Speaker 7>covers the chip space Nvidia. Everyone knows Broadcom, which has

0:14:20.920 --> 0:14:25.040
<v Speaker 7>rallied over the last few days. They are a leading

0:14:25.120 --> 0:14:29.240
<v Speaker 7>AI chip player on the networking space of riskent Networks

0:14:30.040 --> 0:14:32.000
<v Speaker 7>is one of the vendors. To know that. There are

0:14:32.040 --> 0:14:34.840
<v Speaker 7>some other guys such as Cisco and Hpe, but there'll

0:14:34.880 --> 0:14:37.240
<v Speaker 7>be more enterprise focused at least for the time being,

0:14:37.600 --> 0:14:40.200
<v Speaker 7>and won't have as a sizeable impact from AI on

0:14:40.520 --> 0:14:42.320
<v Speaker 7>their numbers, at least in the near term.

0:14:42.960 --> 0:14:45.640
<v Speaker 5>So when I'm talking in panels and stuff and I

0:14:45.640 --> 0:14:48.240
<v Speaker 5>hear people like, Okay, this is definitely a bubble. It

0:14:48.320 --> 0:14:50.800
<v Speaker 5>will definitely burst. We don't know when and how and why.

0:14:50.920 --> 0:14:53.080
<v Speaker 5>We definitely want to buy puts, Like, we're definitely in

0:14:53.080 --> 0:14:54.680
<v Speaker 5>a bubble. We just don't know what that looks like.

0:14:55.320 --> 0:14:57.920
<v Speaker 5>What do you who are coming through the numbers think?

0:14:58.920 --> 0:15:03.600
<v Speaker 7>Yeah, So we publish our valuation though for super Micro today,

0:15:04.000 --> 0:15:06.520
<v Speaker 7>and I'll tell you that, you know, much of the

0:15:06.560 --> 0:15:09.320
<v Speaker 7>stock rise of the last couple of days or the

0:15:09.400 --> 0:15:11.800
<v Speaker 7>last year or so has been more earning, straighter than

0:15:11.840 --> 0:15:14.440
<v Speaker 7>anything else. And it goes back to the fact that

0:15:14.680 --> 0:15:20.600
<v Speaker 7>a lot of these AI systems have this humongous aspos boost.

0:15:20.680 --> 0:15:23.520
<v Speaker 7>I mentioned one hundred thousand dollars a rack. The latest

0:15:23.560 --> 0:15:26.440
<v Speaker 7>generation of Nvidia's servers, they're going to be about three

0:15:26.520 --> 0:15:30.160
<v Speaker 7>million dollars per rack, and that's going to support their

0:15:30.680 --> 0:15:36.320
<v Speaker 7>twenty five billion dollars in fiscal twenty twenty five expectations.

0:15:36.520 --> 0:15:40.440
<v Speaker 7>And I think that if you think about a housing boom,

0:15:40.880 --> 0:15:44.000
<v Speaker 7>we are going through an AI housing boom right now.

0:15:44.320 --> 0:15:46.200
<v Speaker 7>And this is going to last for the next couple

0:15:46.280 --> 0:15:50.320
<v Speaker 7>of years. Now, when does this housing boom bust? Still

0:15:50.360 --> 0:15:52.840
<v Speaker 7>too early to tell, because first it's going to be

0:15:52.920 --> 0:15:56.200
<v Speaker 7>the cloud. The enterprise is going to start following. I

0:15:56.240 --> 0:15:58.960
<v Speaker 7>don't know how big that enterprise opportunity is just yet.

0:16:00.120 --> 0:16:04.080
<v Speaker 2>Sense there would how much are this incremental AI spending

0:16:04.520 --> 0:16:07.960
<v Speaker 2>is in fact incremental to overall tech spending or is

0:16:08.000 --> 0:16:09.960
<v Speaker 2>it just taking it from other buckets?

0:16:10.720 --> 0:16:13.320
<v Speaker 7>Yeah, you know, you know, that's a good question. And

0:16:14.040 --> 0:16:18.040
<v Speaker 7>if we look at the companies or the sectors from

0:16:18.080 --> 0:16:22.560
<v Speaker 7>a sector basis, within hardware, we've seen some of the

0:16:22.600 --> 0:16:27.200
<v Speaker 7>traditional hardware lag in terms of spending. I do blame

0:16:27.280 --> 0:16:31.760
<v Speaker 7>some of the declines in hard traditional hardware spending to

0:16:32.360 --> 0:16:35.160
<v Speaker 7>a mix shift to AI. But the other thesis that's

0:16:35.200 --> 0:16:38.400
<v Speaker 7>going around right now in the investment circles is that, well,

0:16:39.120 --> 0:16:41.920
<v Speaker 7>it could also mean that they're going to spend less

0:16:41.960 --> 0:16:45.960
<v Speaker 7>on software as well. Right, So from from a larger

0:16:46.040 --> 0:16:48.560
<v Speaker 7>from a from from a larger perspective, there might be

0:16:48.560 --> 0:16:51.680
<v Speaker 7>spending that's being pulled away from software to build out

0:16:51.680 --> 0:16:56.400
<v Speaker 7>the infrastructure. Over time, as more software becomes AI enabled,

0:16:56.440 --> 0:16:59.280
<v Speaker 7>the investments are going to fall back to software.

0:17:00.080 --> 0:17:02.880
<v Speaker 5>So the whole I think with Nvidia like trying to

0:17:02.920 --> 0:17:06.119
<v Speaker 5>talk about software and not hardware as much.

0:17:06.640 --> 0:17:07.240
<v Speaker 3>What is that?

0:17:08.520 --> 0:17:08.680
<v Speaker 6>Oh?

0:17:08.760 --> 0:17:14.280
<v Speaker 7>Yeah, so there actually is a more. Nvidia is also

0:17:14.280 --> 0:17:18.040
<v Speaker 7>a software name, right, you actually need to build a

0:17:18.119 --> 0:17:23.280
<v Speaker 7>code to drive the GPU chips very efficiently.

0:17:23.880 --> 0:17:24.080
<v Speaker 2>Right.

0:17:24.560 --> 0:17:30.440
<v Speaker 7>And the bigger the developer user base. Right. Think about

0:17:30.440 --> 0:17:36.840
<v Speaker 7>it as a programmer for Microsoft or programmer for Oracle. Right,

0:17:37.080 --> 0:17:39.320
<v Speaker 7>You're trying to build this big developer user base so

0:17:39.440 --> 0:17:43.600
<v Speaker 7>you can have your your AI programmers to write to

0:17:44.320 --> 0:17:49.240
<v Speaker 7>the Nvidia chipset. Right. There's two benefits to this one.

0:17:49.400 --> 0:17:52.800
<v Speaker 7>The AI chip sets try to leverage the software to

0:17:52.840 --> 0:17:56.000
<v Speaker 7>optimize the energy consumption, So there is an energy benefit

0:17:56.080 --> 0:17:58.840
<v Speaker 7>to this and also two, you're trying to lock up

0:17:59.280 --> 0:18:03.760
<v Speaker 7>more developers to write to the g Nvidia GPU so

0:18:03.800 --> 0:18:06.119
<v Speaker 7>you can gain or grow your market share in the

0:18:06.160 --> 0:18:06.919
<v Speaker 7>GPU space.

0:18:08.080 --> 0:18:10.679
<v Speaker 3>All Right, we're seeing more and more ways to play AI.

0:18:11.000 --> 0:18:13.919
<v Speaker 3>I mean, there's the chips, there's the hardware of the software.

0:18:13.960 --> 0:18:15.200
<v Speaker 5>Don't know how he keeps it. I don't know how

0:18:15.240 --> 0:18:16.160
<v Speaker 5>would you keep it all straight?

0:18:16.160 --> 0:18:19.280
<v Speaker 3>I gotta be honest. Helps, thanks so much for joining us.

0:18:19.280 --> 0:18:19.680
<v Speaker 3>Wi Jinho.

0:18:19.720 --> 0:18:22.359
<v Speaker 2>He's a senior technology analyst the Bloomberg Intelligency's down in

0:18:22.400 --> 0:18:26.280
<v Speaker 2>our Princeton, New Jersey office here giving us some more

0:18:26.480 --> 0:18:30.840
<v Speaker 2>views on how various companies within the tech stack is

0:18:30.880 --> 0:18:35.240
<v Speaker 2>the tech geeks say this case Dell Computer, super micro

0:18:35.640 --> 0:18:41.080
<v Speaker 2>stocks moving today on more servers being installed for the

0:18:41.080 --> 0:18:43.560
<v Speaker 2>folks that can be running these big models.

0:18:43.240 --> 0:18:45.120
<v Speaker 5>I guess and just go and it just goes again.

0:18:45.160 --> 0:18:47.600
<v Speaker 5>And then you pair that with those that just watch

0:18:47.640 --> 0:18:51.160
<v Speaker 5>momentum bubbles and they get increasingly worried. So it's it's

0:18:51.240 --> 0:18:53.639
<v Speaker 5>really hard to square those two. At the end of

0:18:53.640 --> 0:18:53.960
<v Speaker 5>the day.

0:18:55.560 --> 0:18:59.440
<v Speaker 1>You're listening to the Bloomberg Intelligence podcast. Catch us live

0:18:59.480 --> 0:19:03.440
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0:19:03.440 --> 0:19:06.240
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0:19:06.320 --> 0:19:09.480
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0:19:09.560 --> 0:19:13.960
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0:19:13.720 --> 0:19:15.679
<v Speaker 2>Alex Deel, Paul Swing you live here in our Bloomberg

0:19:15.760 --> 0:19:18.040
<v Speaker 2>Interactive Broker studio or streaming live on YouTube.

0:19:18.040 --> 0:19:19.320
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0:19:19.040 --> 0:19:21.880
<v Speaker 2>Dot com and search Bloomber podcast and that's what you'll find.

0:19:21.880 --> 0:19:24.080
<v Speaker 2>This all right, here's story getting a lot of readership

0:19:24.080 --> 0:19:27.399
<v Speaker 2>today by McDonald's. McDonald's US chief says the company is

0:19:27.480 --> 0:19:29.879
<v Speaker 2>ready for a fight, and in order to win, the

0:19:29.920 --> 0:19:32.640
<v Speaker 2>burger chain is pulling out one of the most potent

0:19:32.880 --> 0:19:36.359
<v Speaker 2>weapons in its arsenal, the value meal. So they're gonna

0:19:36.359 --> 0:19:39.440
<v Speaker 2>be putting some chicken and you get fries, you get

0:19:39.440 --> 0:19:40.680
<v Speaker 2>a coke, all for five bucks.

0:19:40.720 --> 0:19:43.080
<v Speaker 3>That's pretty darn solid. What does it mean for the

0:19:43.080 --> 0:19:45.800
<v Speaker 3>restaurant company? So let's chick in with Mike Halen.

0:19:45.840 --> 0:19:49.880
<v Speaker 2>Michael Halen, he covers the restaurant industry for Bloomberg Intelligence. Mike,

0:19:49.960 --> 0:19:53.600
<v Speaker 2>I guess you know the big guns here for McDonald's.

0:19:53.640 --> 0:19:54.600
<v Speaker 3>Here the value meal.

0:19:54.880 --> 0:19:57.960
<v Speaker 2>What's going on in the fast food business these days?

0:19:59.240 --> 0:20:00.920
<v Speaker 8>Yeah, listen, they have scale.

0:20:01.160 --> 0:20:04.240
<v Speaker 9>They have scale that allows them to offer prices that

0:20:04.320 --> 0:20:08.480
<v Speaker 9>some of their competitors can't match, right, And so you

0:20:08.480 --> 0:20:12.720
<v Speaker 9>know what we're seeing now is, you know, consistent traffic declines.

0:20:13.280 --> 0:20:15.200
<v Speaker 9>Same store sales have been pretty weak now for about

0:20:15.240 --> 0:20:17.480
<v Speaker 9>a year in the restaurant industry.

0:20:17.480 --> 0:20:19.800
<v Speaker 8>A lot of that is due to low income consumers.

0:20:20.280 --> 0:20:22.120
<v Speaker 8>Darden on their earnings call.

0:20:22.000 --> 0:20:25.159
<v Speaker 9>Today said, it's you know, seventy five households with seventy

0:20:25.160 --> 0:20:28.720
<v Speaker 9>five thousand or less in income, and the customers that

0:20:28.760 --> 0:20:32.960
<v Speaker 9>are really struggling our fifty thousand dollars make fifty thousand

0:20:32.960 --> 0:20:35.160
<v Speaker 9>dollars a year or less. So you know, we're still

0:20:35.200 --> 0:20:38.400
<v Speaker 9>seeing this case shaped recovery. And so you know, about

0:20:38.440 --> 0:20:41.480
<v Speaker 9>a third of McDonald's business is that low income consumer.

0:20:41.680 --> 0:20:44.800
<v Speaker 9>You know, the traffic declines can be mostly attributable to

0:20:45.160 --> 0:20:49.000
<v Speaker 9>those customers visiting less frequently. There's been a lot of

0:20:49.040 --> 0:20:52.639
<v Speaker 9>bad press about McDonald's and some of these other fast

0:20:52.640 --> 0:20:56.439
<v Speaker 9>food trains and how much they charge. You know, they

0:20:56.560 --> 0:20:59.479
<v Speaker 9>went they went viral because one of their stores, we're

0:20:59.520 --> 0:21:01.920
<v Speaker 9>charging eight teen dollars for a big back meal, right,

0:21:01.960 --> 0:21:06.320
<v Speaker 9>and they want to kind of level set people's expectations

0:21:06.359 --> 0:21:09.760
<v Speaker 9>about what they're going to pay inside the McDonald's and

0:21:10.960 --> 0:21:14.400
<v Speaker 9>kind of get people focused back on the fact that,

0:21:14.600 --> 0:21:18.160
<v Speaker 9>you know, you can still get a lot of value

0:21:18.280 --> 0:21:19.679
<v Speaker 9>on that McDonald's menu.

0:21:20.000 --> 0:21:23.200
<v Speaker 5>Do they still have a dollar man, Yeah, it's.

0:21:23.040 --> 0:21:26.399
<v Speaker 8>The one two three dollar menu.

0:21:26.480 --> 0:21:29.080
<v Speaker 9>There's not many items for a dollar, if any. I

0:21:29.119 --> 0:21:32.920
<v Speaker 9>think everything's at least a dollar in change right now.

0:21:32.960 --> 0:21:36.920
<v Speaker 8>But you know, the timing, you know, the timing makes sense.

0:21:37.040 --> 0:21:43.120
<v Speaker 9>You know, last month, casual dining chains actually outperformed quick

0:21:43.160 --> 0:21:46.520
<v Speaker 9>service team star sales for the first time since last January.

0:21:46.560 --> 0:21:48.520
<v Speaker 9>And I think a lot of that has been this

0:21:48.640 --> 0:21:51.600
<v Speaker 9>bad press about how much quick service chains are charging,

0:21:52.640 --> 0:21:55.240
<v Speaker 9>and chains like you know, Chili's have been kind of

0:21:56.119 --> 0:21:58.280
<v Speaker 9>playing into this. You know, they're saying, you know, look,

0:21:58.320 --> 0:22:00.600
<v Speaker 9>we have a ten ninety nine three for medial. You

0:22:00.640 --> 0:22:02.959
<v Speaker 9>get a lot more food, you get a better burger,

0:22:03.040 --> 0:22:06.480
<v Speaker 9>and it's cheaper than a big mac meal. So McDonald's

0:22:06.520 --> 0:22:08.680
<v Speaker 9>is trying to turn the tide again here.

0:22:09.440 --> 0:22:12.440
<v Speaker 2>You know, I'm looking at the the FA function for McDonald's.

0:22:12.440 --> 0:22:14.719
<v Speaker 2>I mean, they got gross profit margins, you know, the

0:22:14.800 --> 0:22:17.160
<v Speaker 2>kind of mid to high fifties.

0:22:17.200 --> 0:22:18.480
<v Speaker 3>That seems pretty darn good.

0:22:18.520 --> 0:22:21.480
<v Speaker 2>That seems like, if they wanted to, they really could

0:22:21.680 --> 0:22:25.919
<v Speaker 2>go into a significant kind of pricing war here. Is

0:22:25.960 --> 0:22:27.840
<v Speaker 2>that something that McDonald's thinks about or they just don't

0:22:27.880 --> 0:22:28.840
<v Speaker 2>even want to get into that game.

0:22:30.200 --> 0:22:35.040
<v Speaker 9>Well, listen, I mean, you know, McDonald's is heavily franchised,

0:22:35.080 --> 0:22:38.480
<v Speaker 9>and so they're going to have stronger gross and operating

0:22:38.520 --> 0:22:42.080
<v Speaker 9>margins than some of their competitors. You know, So what

0:22:42.160 --> 0:22:44.600
<v Speaker 9>we'll look at more as is the restaurant level margin.

0:22:44.680 --> 0:22:46.960
<v Speaker 9>And their's is good.

0:22:47.080 --> 0:22:47.520
<v Speaker 8>It's not.

0:22:49.119 --> 0:22:51.760
<v Speaker 9>Like leaps and bounds better than the competition. You know,

0:22:51.800 --> 0:22:55.320
<v Speaker 9>that's more like a shake Shack or a Chipotle. You know,

0:22:55.359 --> 0:22:58.600
<v Speaker 9>the fast casual chains tend to have that have stronger

0:22:58.640 --> 0:23:04.120
<v Speaker 9>margins and on that end, But you know McDonald's they

0:23:04.160 --> 0:23:07.000
<v Speaker 9>do do almost three million store and so they have

0:23:07.560 --> 0:23:12.440
<v Speaker 9>wider restaurant margins, wider margins for their franchisees than a Wendy's,

0:23:12.480 --> 0:23:14.879
<v Speaker 9>a Jack in the Box and Sonic and you know,

0:23:15.640 --> 0:23:18.359
<v Speaker 9>they they leaned heavily into discounting and during the Great

0:23:18.400 --> 0:23:22.280
<v Speaker 9>Recession and it enabled them to take share. They massively

0:23:22.359 --> 0:23:28.199
<v Speaker 9>out performed their smaller competitors. So yeah, they're they're they're

0:23:28.240 --> 0:23:30.720
<v Speaker 9>this is they're they're moving towards this, right, they want

0:23:30.720 --> 0:23:35.200
<v Speaker 9>to establish that that dominance uh in the industry, but they're.

0:23:35.040 --> 0:23:38.160
<v Speaker 8>They have to weigh.

0:23:37.000 --> 0:23:41.400
<v Speaker 9>The franchise e earnings with that, right, because if they

0:23:41.440 --> 0:23:43.960
<v Speaker 9>suggest a five dollars meal deal and the franchise e say,

0:23:43.960 --> 0:23:45.520
<v Speaker 9>I can't make money off this, I'm not going to

0:23:45.600 --> 0:23:48.720
<v Speaker 9>run it well, and then it's not going to happen.

0:23:48.920 --> 0:23:51.399
<v Speaker 5>Right, So does that put like Barking in like a

0:23:51.400 --> 0:23:53.960
<v Speaker 5>better spot since they have less franchisees? Am I making

0:23:53.960 --> 0:23:54.280
<v Speaker 5>that up?

0:23:55.600 --> 0:23:55.639
<v Speaker 6>No?

0:23:56.200 --> 0:23:58.640
<v Speaker 9>Burger King is also most of the quick service chains

0:23:58.760 --> 0:24:03.879
<v Speaker 9>are very heavily franchised. It's pretty easy operations, it's easy

0:24:03.920 --> 0:24:07.280
<v Speaker 9>to train new employees, and so they're they're they're typically

0:24:07.400 --> 0:24:08.720
<v Speaker 9>very heavily franchised.

0:24:09.920 --> 0:24:10.880
<v Speaker 8>Burger King's in a.

0:24:10.840 --> 0:24:14.440
<v Speaker 9>Better position this year just because they're lapping a few

0:24:14.520 --> 0:24:16.119
<v Speaker 9>years of very weak results.

0:24:16.880 --> 0:24:19.159
<v Speaker 8>So that's where I think Burger Kings advantage comes in.

0:24:19.200 --> 0:24:22.360
<v Speaker 9>It's just it's just weaker year over year comparisons, and

0:24:22.359 --> 0:24:26.600
<v Speaker 9>and management has has injected you know, billions of dollars

0:24:26.640 --> 0:24:31.040
<v Speaker 9>into that franchise system, right, and so they're renovating stores,

0:24:31.080 --> 0:24:35.800
<v Speaker 9>remodeling stores, they're marketing a lot heavier and so that

0:24:35.880 --> 0:24:38.520
<v Speaker 9>those are all benefits for Burger King. And it could

0:24:38.600 --> 0:24:42.679
<v Speaker 9>be you know, hurting McDonald's a little bit here, but

0:24:44.200 --> 0:24:47.719
<v Speaker 9>you know, McDonald's is the eight hundred pound gorilla. They

0:24:47.720 --> 0:24:51.760
<v Speaker 9>have top notch marketing program right, Like I said, at

0:24:51.800 --> 0:24:54.680
<v Speaker 9>the top they can offer prices that even Burger King

0:24:54.800 --> 0:24:58.040
<v Speaker 9>can't match. And so so that's why we're seeing kind

0:24:58.080 --> 0:24:59.760
<v Speaker 9>of what we're seeing. Right, it's a it's a week

0:24:59.800 --> 0:25:03.760
<v Speaker 9>and in our environment, and McDonald's wants so much to

0:25:03.840 --> 0:25:04.920
<v Speaker 9>keep and grow their share.

0:25:05.119 --> 0:25:07.760
<v Speaker 2>If a consumer's not going to fast food restaurants, what

0:25:07.880 --> 0:25:10.080
<v Speaker 2>is the consumer eating? Are they just staying home and

0:25:10.720 --> 0:25:11.400
<v Speaker 2>cooking at home?

0:25:13.040 --> 0:25:14.800
<v Speaker 8>I think on the low end, that's what we're seeing.

0:25:14.920 --> 0:25:19.240
<v Speaker 9>Yeah, you know, it is a case shape recovery hiring.

0:25:19.400 --> 0:25:21.040
<v Speaker 8>High income people are doing better.

0:25:21.880 --> 0:25:24.800
<v Speaker 9>You know, we're seeing stock markets, US stock markets at

0:25:24.840 --> 0:25:26.960
<v Speaker 9>all time highs, Bitcoin near an all time high.

0:25:26.960 --> 0:25:29.000
<v Speaker 8>Home prices remain elevated.

0:25:28.560 --> 0:25:31.480
<v Speaker 9>Right, and so high income consumers are still doing pretty good.

0:25:32.320 --> 0:25:34.840
<v Speaker 9>But even them are showing some even that cohort is

0:25:34.840 --> 0:25:38.199
<v Speaker 9>showing some some weakness. Uh, and they're kind of trading

0:25:38.280 --> 0:25:42.040
<v Speaker 9>down into the QSR cheaper occasions, and we're seeing low

0:25:42.080 --> 0:25:46.240
<v Speaker 9>income consumers fall out. But you know, so we're seeing

0:25:46.240 --> 0:25:50.560
<v Speaker 9>guest check averages rise, but we're where traffic is definitely down.

0:25:50.800 --> 0:25:53.560
<v Speaker 9>You know, like I mentioned, it's low income consumers are

0:25:53.560 --> 0:25:56.439
<v Speaker 9>about a third of traffic. So chains kind of have

0:25:56.520 --> 0:25:58.320
<v Speaker 9>to try to balance it, right, Like they want to

0:25:59.520 --> 0:26:02.040
<v Speaker 9>have value you for their low income consumers. They want

0:26:02.040 --> 0:26:04.760
<v Speaker 9>to offer higher priced items to kind of attract some

0:26:04.840 --> 0:26:07.760
<v Speaker 9>higher income consumers. And what we've seen is the chains

0:26:07.800 --> 0:26:10.080
<v Speaker 9>like McDonald's and Jack in the Box that have been able.

0:26:09.840 --> 0:26:11.640
<v Speaker 8>To draw in the high income consumers.

0:26:11.720 --> 0:26:15.760
<v Speaker 9>Chipotle's another one, have outperformed their peers since the start,

0:26:16.720 --> 0:26:17.920
<v Speaker 9>since the start of the pandemic.

0:26:18.000 --> 0:26:19.359
<v Speaker 5>And I should point out to just take a look

0:26:19.359 --> 0:26:22.320
<v Speaker 5>at Kroger's results, right, Like com sales rose just half

0:26:22.320 --> 0:26:27.080
<v Speaker 5>a percent last quarter, so yes, at topped analysts what

0:26:27.119 --> 0:26:30.119
<v Speaker 5>they expected, but growth has really stalled. I mean, you

0:26:30.160 --> 0:26:33.000
<v Speaker 5>had business normalizing and you got really high inflation, and

0:26:33.040 --> 0:26:35.439
<v Speaker 5>it's a cloudy picture. So even the solution of just

0:26:35.480 --> 0:26:39.320
<v Speaker 5>buying and cooking at home can be pretty rough. Hey, Michael,

0:26:39.320 --> 0:26:41.719
<v Speaker 5>thanks a lot. Michael Hale and Bloomberg Intelligence senior restaurant

0:26:41.720 --> 0:26:44.040
<v Speaker 5>and food service analysts, who I think is deep teas

0:26:44.040 --> 0:26:47.080
<v Speaker 5>here everyone back with us on Monday in studio.

0:26:47.280 --> 0:26:50.359
<v Speaker 2>In studio, he finally found his train ticket, which he

0:26:50.400 --> 0:26:51.360
<v Speaker 2>had lost for several years.

0:26:51.400 --> 0:26:53.200
<v Speaker 5>I mean, it's hard to find to be sure back

0:26:53.200 --> 0:26:55.680
<v Speaker 5>to and it's going to be about the back half

0:26:55.680 --> 0:26:59.080
<v Speaker 5>for restaurants and quick service guys. Who's winning and who's not.

0:26:59.280 --> 0:27:01.159
<v Speaker 5>How all that's going to want wind up playing out?

0:27:01.200 --> 0:27:06.360
<v Speaker 1>Ah, you're listening to the Bloomberg Intelligence Podcast. Catch us

0:27:06.400 --> 0:27:09.760
<v Speaker 1>live weekdays at ten am Eastern on applecar Play and

0:27:09.760 --> 0:27:12.640
<v Speaker 1>Android Auto with the Bloomberg Business Act. You can also

0:27:12.760 --> 0:27:15.960
<v Speaker 1>listen live on Amazon Alexa from our flagship New York

0:27:16.000 --> 0:27:19.679
<v Speaker 1>station Just Say Alexa playing Bloomberg eleven thirty.

0:27:21.119 --> 0:27:21.399
<v Speaker 4>All right.

0:27:21.440 --> 0:27:24.240
<v Speaker 5>Joining us now is a very special guest. It's Thomas Eely,

0:27:24.480 --> 0:27:28.200
<v Speaker 5>founder and CEO of highly On Now. Hilyon is quite

0:27:28.240 --> 0:27:30.960
<v Speaker 5>interesting because I covered this company a few years ago

0:27:31.160 --> 0:27:35.360
<v Speaker 5>when it was a long haul EV trucking company. They

0:27:35.400 --> 0:27:38.119
<v Speaker 5>had a power train that they were calling the hyper

0:27:38.160 --> 0:27:40.440
<v Speaker 5>truck eRx and it was going to be an EV

0:27:40.600 --> 0:27:42.840
<v Speaker 5>trucker and it seemed like it had a lot of legs,

0:27:42.880 --> 0:27:45.120
<v Speaker 5>it had a lot of interest, and then the company

0:27:45.359 --> 0:27:49.520
<v Speaker 5>pivoted instead to become basically a power generation company. And

0:27:49.520 --> 0:27:52.560
<v Speaker 5>it's a really interesting pivot. Yes, there's some similarities, but

0:27:52.640 --> 0:27:56.560
<v Speaker 5>a really interesting pivot nonetheless, and Thomas joins us, Now,

0:27:57.000 --> 0:27:59.000
<v Speaker 5>what's happened in the last few years, tell me about

0:27:59.000 --> 0:28:00.280
<v Speaker 5>your business shift.

0:28:01.200 --> 0:28:03.520
<v Speaker 10>Well, Alex, you outlined it perfectly, so you know, the

0:28:03.600 --> 0:28:06.399
<v Speaker 10>last handful of years, there's been so much momentum behind

0:28:06.440 --> 0:28:09.840
<v Speaker 10>EV specifically in the trucking space, but the reality is,

0:28:09.960 --> 0:28:13.400
<v Speaker 10>over the last twelve eighteen months, we've seen a continued

0:28:13.440 --> 0:28:15.399
<v Speaker 10>decline to the point of many of the companies in

0:28:15.400 --> 0:28:19.280
<v Speaker 10>the space are facing bankruptcy or have already filed for bankruptcy.

0:28:19.320 --> 0:28:21.879
<v Speaker 10>They can't raise additional cash, and so we were in

0:28:21.920 --> 0:28:24.440
<v Speaker 10>a unique position where we still had a strong balance sheet.

0:28:24.480 --> 0:28:26.720
<v Speaker 10>We had about three hundred million of cash on our

0:28:26.760 --> 0:28:29.639
<v Speaker 10>balance sheets starting at the beginning of this year, and

0:28:29.680 --> 0:28:32.600
<v Speaker 10>we had a unique technology in house as well, that

0:28:32.800 --> 0:28:36.000
<v Speaker 10>is a generator basically a mini power plant that can

0:28:36.040 --> 0:28:40.959
<v Speaker 10>be deployed outside of commercial buildings, data centers, EV charging sites,

0:28:41.240 --> 0:28:43.320
<v Speaker 10>and so we saw that it was best to pivot

0:28:43.320 --> 0:28:45.800
<v Speaker 10>the company to focus on that and actually move out

0:28:45.880 --> 0:28:48.280
<v Speaker 10>of that EV semi truck space.

0:28:49.000 --> 0:28:52.719
<v Speaker 3>All right, so you have this Carno platform. Tell us

0:28:52.720 --> 0:28:53.120
<v Speaker 3>about that.

0:28:54.480 --> 0:28:56.760
<v Speaker 10>Yeah, So think of it as, you know, a power

0:28:56.760 --> 0:28:59.240
<v Speaker 10>plant that's the size of like the bed of a

0:28:59.280 --> 0:29:02.360
<v Speaker 10>pickup truck. Almost it can produce two hundred kilowats of

0:29:02.400 --> 0:29:05.440
<v Speaker 10>power and it's designed to be able to be stacked together.

0:29:05.560 --> 0:29:08.200
<v Speaker 10>So if you think of an EV charging site, you're

0:29:08.200 --> 0:29:10.280
<v Speaker 10>maybe going to need a couple of megawatts of power,

0:29:10.360 --> 0:29:13.800
<v Speaker 10>so maybe you know ten carnogenerators, or if you think

0:29:13.840 --> 0:29:17.000
<v Speaker 10>of a data center, you maybe need forty megawats of power.

0:29:17.560 --> 0:29:18.880
<v Speaker 10>But if you then go to the other end of

0:29:18.880 --> 0:29:23.400
<v Speaker 10>the extreme, you think of like a commercial like store

0:29:23.520 --> 0:29:25.760
<v Speaker 10>like a Walmart or place like that, you're in need

0:29:25.800 --> 0:29:28.760
<v Speaker 10>about that two hundred kiloots of power size. So our

0:29:28.800 --> 0:29:31.240
<v Speaker 10>thought is, as you come in and you actually make

0:29:31.320 --> 0:29:34.400
<v Speaker 10>this generator your primary power source, so you remove your

0:29:34.440 --> 0:29:38.160
<v Speaker 10>dependency from the grid, you can actually make electricity cheaper

0:29:38.200 --> 0:29:41.520
<v Speaker 10>with this gen set than most electricity costs out there.

0:29:41.840 --> 0:29:44.080
<v Speaker 10>And now you kind of have this model where you

0:29:44.160 --> 0:29:47.440
<v Speaker 10>now make power outside your building and you use the

0:29:47.480 --> 0:29:49.400
<v Speaker 10>grid as your backup power supply.

0:29:50.080 --> 0:29:53.720
<v Speaker 5>So what the two things kind of relate together is

0:29:53.760 --> 0:29:56.680
<v Speaker 5>that what was wrong with the EV trucking part. Was

0:29:56.720 --> 0:29:59.200
<v Speaker 5>it that it was too expensive to build at scale

0:29:59.360 --> 0:30:00.760
<v Speaker 5>or was the and not there.

0:30:02.440 --> 0:30:05.520
<v Speaker 10>Yeah, so five years ago fleets were saying they're going

0:30:05.600 --> 0:30:08.959
<v Speaker 10>to buy EV trucks in mass volume, and that you know,

0:30:09.000 --> 0:30:11.720
<v Speaker 10>by this time, you know, all most trucks being sold,

0:30:11.760 --> 0:30:14.360
<v Speaker 10>we're going to be evs. The reality is is EV

0:30:14.480 --> 0:30:17.480
<v Speaker 10>adoption has gone extremely slow, and fleets are saying, you know,

0:30:17.520 --> 0:30:20.120
<v Speaker 10>we're going to buy onesie tuoesie trying for a little while,

0:30:20.200 --> 0:30:23.120
<v Speaker 10>maybe we'll buy more. But what's really happened is people

0:30:23.160 --> 0:30:26.520
<v Speaker 10>are waiting until the government mandates that evs need to

0:30:26.520 --> 0:30:29.280
<v Speaker 10>be adopted, and we're seeing those dates continue to get

0:30:29.320 --> 0:30:32.160
<v Speaker 10>pushed out to the right. And in addition to what

0:30:32.200 --> 0:30:34.920
<v Speaker 10>you mentioned of the costs of EV trucks have continued

0:30:34.960 --> 0:30:37.360
<v Speaker 10>to go up as well. So we're really just seeing

0:30:37.400 --> 0:30:41.640
<v Speaker 10>this this situation where adoption isn't happening anywhere near the

0:30:41.720 --> 0:30:45.360
<v Speaker 10>rate that was initially expected, and so being in the

0:30:45.400 --> 0:30:48.760
<v Speaker 10>public markets, you know, the you know, companies needing to

0:30:48.840 --> 0:30:52.840
<v Speaker 10>raise more cash and stock prices continue to decline, we

0:30:52.920 --> 0:30:54.400
<v Speaker 10>just thought it was best to get out of that

0:30:54.440 --> 0:30:57.000
<v Speaker 10>space and focus on an area where there's actually a

0:30:57.040 --> 0:30:57.760
<v Speaker 10>lot of momentum.

0:30:57.880 --> 0:30:58.040
<v Speaker 1>Right.

0:30:58.080 --> 0:31:00.880
<v Speaker 10>You know, we talked about AI that needs a lot

0:31:00.880 --> 0:31:02.840
<v Speaker 10>of power generation, So how.

0:31:02.720 --> 0:31:06.120
<v Speaker 5>Does the so what can you take from the EV

0:31:06.240 --> 0:31:10.400
<v Speaker 5>trucking to the power world, Like how were some things transferable.

0:31:11.720 --> 0:31:14.920
<v Speaker 10>Yeah, so this generator, the Carno was actually something we

0:31:15.000 --> 0:31:17.920
<v Speaker 10>acquired out of GE and it had been a project

0:31:17.960 --> 0:31:20.760
<v Speaker 10>that we're working on with General Electric for a few

0:31:20.840 --> 0:31:23.040
<v Speaker 10>years where we were actually going to put it as

0:31:23.160 --> 0:31:26.400
<v Speaker 10>the generator inside the truck to charge the batteries while

0:31:26.400 --> 0:31:28.920
<v Speaker 10>you were driving, And so we acquired it out of

0:31:28.960 --> 0:31:31.360
<v Speaker 10>GE a couple of years ago. And we always saw

0:31:31.400 --> 0:31:34.000
<v Speaker 10>it as a solution initially for trucks, but we could

0:31:34.080 --> 0:31:37.320
<v Speaker 10>could go into the power generation space. But as you know,

0:31:37.360 --> 0:31:39.560
<v Speaker 10>we've kind of seen the market shift. We saw that

0:31:40.160 --> 0:31:44.200
<v Speaker 10>just going after power generation and stationary power first made

0:31:44.240 --> 0:31:46.680
<v Speaker 10>a lot of sense. And then you know, it's still

0:31:46.680 --> 0:31:49.120
<v Speaker 10>a technology that we see could be viable for the

0:31:49.760 --> 0:31:51.480
<v Speaker 10>EV trucking space down the road.

0:31:52.360 --> 0:31:55.680
<v Speaker 2>Talk to us about again on this new energy platform

0:31:55.680 --> 0:31:57.600
<v Speaker 2>that you have. Where are you in terms of in

0:31:57.640 --> 0:32:01.000
<v Speaker 2>your timeline of deploying these making sales, who do you

0:32:01.400 --> 0:32:02.800
<v Speaker 2>target to sell to that type of thing?

0:32:02.840 --> 0:32:04.160
<v Speaker 3>Where are unit development there?

0:32:05.280 --> 0:32:07.960
<v Speaker 10>Yeah, so we're at a point where later this year

0:32:08.000 --> 0:32:10.920
<v Speaker 10>we'll actually be getting units out into customers hands. So

0:32:11.760 --> 0:32:14.720
<v Speaker 10>you know, it's been a north of five year development

0:32:14.760 --> 0:32:17.600
<v Speaker 10>program both when it was in GE and now at

0:32:17.720 --> 0:32:20.560
<v Speaker 10>highly on and so we're right on the cusp of

0:32:20.640 --> 0:32:23.160
<v Speaker 10>just about to start getting units out there to customers.

0:32:23.560 --> 0:32:26.640
<v Speaker 10>A few key markets we're going after. One is that

0:32:26.800 --> 0:32:30.360
<v Speaker 10>EV charging space. Another is actually using waste gas. So

0:32:30.360 --> 0:32:32.800
<v Speaker 10>if you think about like oil and gas sites, they

0:32:32.800 --> 0:32:35.479
<v Speaker 10>flare a lot of gas right now, the carnogenerator can

0:32:35.520 --> 0:32:38.600
<v Speaker 10>actually be a great way to take that gas and

0:32:38.640 --> 0:32:42.320
<v Speaker 10>make electricity out of it. We're going after commercial applications

0:32:42.400 --> 0:32:47.360
<v Speaker 10>like data centers, commercial warehouses, you know, hotels, hospitals, those

0:32:47.360 --> 0:32:50.120
<v Speaker 10>type of applications. And then another one which is kind

0:32:50.120 --> 0:32:53.360
<v Speaker 10>of unique, is actually the marine space, so powering ships

0:32:53.360 --> 0:32:56.000
<v Speaker 10>and vessels off of this gen set as well. One

0:32:56.000 --> 0:32:57.800
<v Speaker 10>of the unique things with it that we haven't talked

0:32:57.840 --> 0:33:01.600
<v Speaker 10>about is it's a fuel agnostics so it can run

0:33:01.640 --> 0:33:05.560
<v Speaker 10>on futuristic fuels like hydrogen like ammonia, but can also

0:33:05.680 --> 0:33:09.000
<v Speaker 10>run today on fuels like natural gas and diesel and propane.

0:33:09.400 --> 0:33:11.680
<v Speaker 10>And so for customers, you're kind of getting this like

0:33:11.840 --> 0:33:12.959
<v Speaker 10>future proof solution.

0:33:13.400 --> 0:33:17.000
<v Speaker 5>That's interesting. So it is transferable. What is the demand like.

0:33:18.320 --> 0:33:22.360
<v Speaker 10>Yeah, so our generation demand is very strong right now.

0:33:22.400 --> 0:33:24.200
<v Speaker 10>I mean, just to share an example with you, Like

0:33:24.400 --> 0:33:28.040
<v Speaker 10>we obviously knew the EV trucking space. Well, when people

0:33:28.040 --> 0:33:31.800
<v Speaker 10>would go talk to their utilities about getting a grid interconnect,

0:33:31.880 --> 0:33:35.760
<v Speaker 10>trying to get electricity for their chargers, they're being told

0:33:35.800 --> 0:33:38.080
<v Speaker 10>it's like two to three years just to even get

0:33:38.120 --> 0:33:40.280
<v Speaker 10>access to the power, to get connected to the grid.

0:33:40.600 --> 0:33:43.320
<v Speaker 10>And then in some instances, some parts of the country,

0:33:43.360 --> 0:33:46.440
<v Speaker 10>there's being told there just isn't enough power available at all.

0:33:46.600 --> 0:33:50.440
<v Speaker 10>So we see a few things happening where you've got

0:33:50.440 --> 0:33:53.840
<v Speaker 10>ev charging, you've got AI for data centers, You've also

0:33:53.920 --> 0:33:57.720
<v Speaker 10>got industrial applications moving over to electric, so the demand

0:33:57.720 --> 0:34:00.240
<v Speaker 10>on the grid continues to increase. But we're all also

0:34:00.280 --> 0:34:03.080
<v Speaker 10>in a position where new power plants aren't being made

0:34:03.120 --> 0:34:06.200
<v Speaker 10>and infrastructure isn't being upgraded at the rate that it

0:34:06.240 --> 0:34:08.880
<v Speaker 10>needs to be. So that's where we're seeing the market

0:34:08.920 --> 0:34:12.280
<v Speaker 10>really shift to these kind of distributed power generation models

0:34:12.320 --> 0:34:15.359
<v Speaker 10>where you make your own electricity locally to power your

0:34:15.360 --> 0:34:18.880
<v Speaker 10>facility as opposed to being reliant on the grid. And

0:34:18.920 --> 0:34:21.680
<v Speaker 10>so we see a massive shift happening to that sort

0:34:21.680 --> 0:34:24.319
<v Speaker 10>of market over the next few years here, and it's

0:34:24.320 --> 0:34:25.960
<v Speaker 10>already started, which is great to see.

0:34:26.040 --> 0:34:27.600
<v Speaker 2>So I mean, I guess I mean you called out

0:34:27.600 --> 0:34:30.479
<v Speaker 2>one of the big headwinds I guess facing the EV

0:34:30.600 --> 0:34:32.520
<v Speaker 2>business today, at least here in the US, and that

0:34:32.600 --> 0:34:36.000
<v Speaker 2>is whether the US electrical grid can even support the

0:34:36.040 --> 0:34:40.040
<v Speaker 2>transition to EVS. You're down in Texas. You guys have

0:34:40.160 --> 0:34:42.640
<v Speaker 2>your own grid, but how about just a big.

0:34:42.480 --> 0:34:45.400
<v Speaker 3>Picture, Can the US grid support the transition to EVS.

0:34:47.239 --> 0:34:49.200
<v Speaker 10>I think it's going to be a tough one without

0:34:49.200 --> 0:34:52.880
<v Speaker 10>this distributed power generation model. Just this morning in Texas,

0:34:52.920 --> 0:34:55.400
<v Speaker 10>we had a power blip at this facility. I was

0:34:55.440 --> 0:34:58.360
<v Speaker 10>on a call this morning with a colleague in Michigan.

0:34:58.680 --> 0:35:02.640
<v Speaker 10>Her power was out. I mean, power is. The reliability

0:35:02.640 --> 0:35:05.200
<v Speaker 10>of the grid is a real problem right now. And

0:35:05.719 --> 0:35:08.560
<v Speaker 10>one crazy stat is if you plugged in ten semi

0:35:08.560 --> 0:35:12.080
<v Speaker 10>trucks into the grid, that would consume as much electricity

0:35:12.200 --> 0:35:15.799
<v Speaker 10>as the entire Super Bowl stadium during game time. So wow,

0:35:16.719 --> 0:35:19.239
<v Speaker 10>it's a crazy amount of power that these trucks will draw.

0:35:19.360 --> 0:35:21.920
<v Speaker 10>And I don't think the grid's able to handle it today,

0:35:21.920 --> 0:35:25.920
<v Speaker 10>at least not universally across the country. And if you

0:35:26.040 --> 0:35:28.440
<v Speaker 10>do want to support that type of demand, you need

0:35:28.560 --> 0:35:30.480
<v Speaker 10>not only the power plants, but then you need to

0:35:30.480 --> 0:35:32.719
<v Speaker 10>go build transmission lines, you need to set up the

0:35:32.719 --> 0:35:36.640
<v Speaker 10>local infrastructure. So it's kind of this ripple effect versus

0:35:37.160 --> 0:35:40.200
<v Speaker 10>you could just put this generator down and start making

0:35:40.200 --> 0:35:41.640
<v Speaker 10>your own electricity locally.

0:35:42.520 --> 0:35:44.439
<v Speaker 5>It's really interesting stuff. I wish you luck on this one.

0:35:44.520 --> 0:35:47.040
<v Speaker 5>Let's check back in and see how it's going. I

0:35:47.080 --> 0:35:49.279
<v Speaker 5>know that this is all a huge transition pretty much

0:35:49.440 --> 0:35:53.760
<v Speaker 5>for everybody and companies included Thomas Healey joining US, founder

0:35:53.760 --> 0:35:56.640
<v Speaker 5>and CEO of highly On joining us. But it is

0:35:56.680 --> 0:35:59.840
<v Speaker 5>so interesting, right because it's I just think his transition

0:35:59.880 --> 0:36:01.440
<v Speaker 5>is so interesting because.

0:36:01.520 --> 0:36:02.640
<v Speaker 4>It's too hard.

0:36:03.200 --> 0:36:05.560
<v Speaker 5>Evs are too hard if the demand's not there, how

0:36:05.560 --> 0:36:06.480
<v Speaker 5>do you stay in business?

0:36:06.719 --> 0:36:08.040
<v Speaker 3>I don't know how you do it as a public company.

0:36:08.080 --> 0:36:10.120
<v Speaker 2>I know stock's been been down and they've been drawing

0:36:10.160 --> 0:36:12.239
<v Speaker 2>down on their cash that they got from their IP.

0:36:12.320 --> 0:36:13.880
<v Speaker 2>I'm not sure if there was a spacronaut back in

0:36:13.920 --> 0:36:17.799
<v Speaker 2>the day, but that's kind of an interesting test case

0:36:17.840 --> 0:36:19.800
<v Speaker 2>to see how a company, as a public traded company

0:36:19.840 --> 0:36:22.719
<v Speaker 2>can completely pivot the business.

0:36:22.880 --> 0:36:24.880
<v Speaker 5>And I remember too like Tesla, Yes, it makes cars,

0:36:24.880 --> 0:36:27.280
<v Speaker 5>but it's also a storage play. It's also a battery

0:36:27.320 --> 0:36:29.520
<v Speaker 5>storage company, and in which case you wonder, like where

0:36:29.560 --> 0:36:31.960
<v Speaker 5>the value of EV's actually is.

0:36:32.280 --> 0:36:36.799
<v Speaker 1>This is the Bloomberg Intelligence podcast, available on Apples Spotify,

0:36:37.000 --> 0:36:40.640
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0:36:40.760 --> 0:36:43.719
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0:36:43.880 --> 0:36:47.120
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0:36:47.200 --> 0:36:50.320
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0:36:50.440 --> 0:36:52.280
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