WEBVTT - China, US Steel, Bitcoin, and Tekion (Podcast)

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<v Speaker 1>Welcome to the Bloomberg Markets Podcast. I'm Paul Sweeney, alongside

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<v Speaker 1>my co host Matt Miller.

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<v Speaker 2>Every business day, we bring you interviews from CEOs, market pros,

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<v Speaker 2>and Bloomberg experts, along with essential market moving news.

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<v Speaker 1>Find the Bloomberg Markets podcast called Apple Podcasts or wherever

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<v Speaker 1>you listen to podcasts, and at Bloomberg dot com slash podcast.

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<v Speaker 1>Ridge Borky covers all the steel in speculating a little

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<v Speaker 1>bit here. You were just speculating, you know, just spitballing here. Boy,

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<v Speaker 1>I never thought we'd see a deal in there. I

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<v Speaker 1>just I guess I wasn't expecting the deal in the

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<v Speaker 1>steel industry. I don't know why, but it was an

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<v Speaker 1>interesting transaction. What is Cleveland Cliffs really looking to do here?

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<v Speaker 1>Why are they doing this steal? Why would they like

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<v Speaker 1>to do this deal?

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<v Speaker 3>I think they'd like to do this deal again. Like

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<v Speaker 3>you touched on, it's back to nineteen twenties. Steel is

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<v Speaker 3>cool again, right, let's make steel cool. Fortunately, Cleveland Cliffs

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<v Speaker 3>most of their plants are from the nineteen twenties.

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<v Speaker 4>Okay, so what.

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<v Speaker 3>They're looking for is, obviously they're looking to get exposure

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<v Speaker 3>Big River Steel, which is the EAF to US Steel.

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<v Speaker 1>Is building what's what's e AF. EAF is electric arc furnace,

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<v Speaker 1>electric arc furnace.

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<v Speaker 3>Rather than the blast ferns.

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<v Speaker 5>So this is newer technology to make steel.

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<v Speaker 3>Newer technology, more flexible technology usually also non union technology,

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<v Speaker 3>non union run. So if you look at kind of

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<v Speaker 3>the math they're paying, they offer thirty five dollars this year,

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<v Speaker 3>half cash, half stock. The cash portion comes to a

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<v Speaker 3>little under four billion dollars. US Steel has three point

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<v Speaker 3>one billion dollars of cash on the balance sheet in

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<v Speaker 3>order to finish big River steel they bought. They bought

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<v Speaker 3>Bigger River Steel when it was half built three lower

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<v Speaker 3>three million tons of year. They're expanding to another three

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<v Speaker 3>million tons of year to bought. To get three million

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<v Speaker 3>tons a year of EAF capacity is around three to

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<v Speaker 3>four billion dollars. So if you look at this way,

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<v Speaker 3>we just offer stock and four billion dollars of cash

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<v Speaker 3>to get six over six million tons of y capacity.

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<v Speaker 3>That probably cost US seventy eight billion to go bill.

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<v Speaker 6>And that's basically what they're what they're bidding, right.

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<v Speaker 3>That's basically what they're bidding.

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<v Speaker 4>Right on the EQUI.

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<v Speaker 2>But US Steel apparently thinks they're worth more than that,

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<v Speaker 2>although they were trading for twenty two dollars a share

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<v Speaker 2>on Friday. Why do they Why do they fight this?

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<v Speaker 2>It's a it's a decent premium. Can they get more elsewhere?

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<v Speaker 3>I think you take the deal. You have forty three

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<v Speaker 3>percent premium today you have out They US Steel House

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<v Speaker 3>outlining is what they call their best for all plant.

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<v Speaker 3>So part of it one one part of it is

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<v Speaker 3>finished billion out Big Steel. Other parts are to upgrade

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<v Speaker 3>our finishing capabilities. The other part is they're looking to

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<v Speaker 3>expand in elect sure because electrical steals which flowing to evs,

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<v Speaker 3>which you're gentlemen, we're talking a little about prior. So

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<v Speaker 3>they've outlined this plan, but it's a multi year capital

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<v Speaker 3>spend program and we don't see the success. You know,

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<v Speaker 3>whether it would be successful doesn't play out for a

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<v Speaker 3>few years now.

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<v Speaker 2>Paul, we've been, uh, you know, we've been invited out

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<v Speaker 2>to see Big River. I'd love to go see because

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<v Speaker 2>David Stickler came in here. He sat right in that

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<v Speaker 2>chair where you're sitting, and he said, you guys should

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<v Speaker 2>come out and check out our new plant.

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<v Speaker 1>So I guess the issue is, I mean, I'm looking

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<v Speaker 1>at the capex I mean, for you a steal. They

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<v Speaker 1>spend you know, a couple of billion dollars a year,

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<v Speaker 1>two and a half billion dollars a year in capex.

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<v Speaker 5>Is that money going just for the.

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<v Speaker 1>New technology or are they still putting money into somebody's

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<v Speaker 1>plants in Pittsburgh and Garyan Dan and Allentown, Allentown.

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<v Speaker 3>Right, it's about two thirds one thirds, two thirds for

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<v Speaker 3>the new technology, one third for old technology.

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<v Speaker 5>And the old technology used to kind of keep it running.

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<v Speaker 3>Try and keep it running.

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<v Speaker 4>Wow.

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<v Speaker 3>Correct, So the the thing here is you you have

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<v Speaker 3>this plan to you know, both US Steel and Cliffs

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<v Speaker 3>have been shining down, rationalizing capacity, you know, closing the

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<v Speaker 3>old blastwarenesses and things like that.

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<v Speaker 2>That's why environmental purposes are just because it costs too

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<v Speaker 2>much to run.

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<v Speaker 6>They're not getting enough.

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<v Speaker 3>A product out of it really costs too much to run, right,

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<v Speaker 3>and the technology in order to reinvest in the technology

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<v Speaker 3>is just too expensive.

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<v Speaker 2>Well, well, this is what Cleveland Cliffs is looking to

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<v Speaker 2>do essentially, right, this is what US deal is doing

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<v Speaker 2>at Big River, and Cleveland Cliffs wants to buy that

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<v Speaker 2>from them.

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<v Speaker 3>Right, if you look at this will take the pro

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<v Speaker 3>former company clean cliffs probably is ninety three percent blast

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<v Speaker 3>furnesses today seven percent eafs. The new technology this would

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<v Speaker 3>take them to eighty twenty beyond that. You say, well, gee,

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<v Speaker 3>that seems not that big of a deal, But it

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<v Speaker 3>gives them a lot of flexibility because one of the

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<v Speaker 3>other things about eafs is you can shut them off,

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<v Speaker 3>turn them up, and turn them down a lot easier

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<v Speaker 3>than you can't wait blastphemers.

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<v Speaker 2>By the way, who who are there competitors? Who else

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<v Speaker 2>in this market could make a bid?

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<v Speaker 6>If you know US steel could be worth more.

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<v Speaker 3>Well, you would have Newcorn Steel Dynamics, which are two

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<v Speaker 3>other big players in the US. They're one hundred percent

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<v Speaker 3>technology there, so they probably don't care for the blast

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<v Speaker 3>furnace route.

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<v Speaker 4>Right.

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<v Speaker 3>You know you mentioned that David Stickler built inviting you

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<v Speaker 3>guys out to see bigger or steel. He built bigger steel.

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<v Speaker 3>Now he's moved on to another project, high Bar, which

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<v Speaker 3>a rebar plant. But David Steckler also built some steel

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<v Speaker 3>dynamics first plant or was it part of a group

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<v Speaker 3>that built the first eas for steel dynamics.

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<v Speaker 5>So are new steel mills in the United States being

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<v Speaker 5>built today?

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<v Speaker 3>Well, what's happened is Section two thirty two has really

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<v Speaker 3>helped these guys.

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<v Speaker 5>If you look at the US steel what a second two.

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<v Speaker 3>Section two thirty two was the the Trump laws to

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<v Speaker 3>prevent imports, putting a twenty five percent tariff.

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<v Speaker 6>On steel import to the US.

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<v Speaker 3>If you look at the US steel industry, US steel

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<v Speaker 3>industry historically is about one hundred million tons of steel

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<v Speaker 3>a year. Eighty percent is produced in the US, twenty

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<v Speaker 3>percent is historically imported. With these tariffs, that's made the

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<v Speaker 3>imports a little less competitive. What's happened is we've seen

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<v Speaker 3>over the last few years capacity being added in the

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<v Speaker 3>US to displace the tariffs once they finally to displace

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<v Speaker 3>the import steel once the tariffs finally go away.

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<v Speaker 5>So that so the enshoing is actually happening in the

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<v Speaker 5>steel business.

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<v Speaker 4>Okay, great, So.

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<v Speaker 1>Are you put these If you were to put these

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<v Speaker 1>two companies together, Cleveland Cliffs in the US steal, how

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<v Speaker 1>big would they be kind of relative to the world

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<v Speaker 1>order of steel makers.

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<v Speaker 3>It wouldn't make it would make them a top ten

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<v Speaker 3>in the world. Okay, I don't think scale helps you

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<v Speaker 3>at all, But.

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<v Speaker 1>That's why I thought manufacturing scale helps. I learned that

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<v Speaker 1>I know you went to shout to go business school.

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<v Speaker 1>You guys are good with the numbers, but.

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<v Speaker 3>It's just the industry that's you know historic. You know,

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<v Speaker 3>it costs a lot of ship So why would you

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<v Speaker 3>why would it be cheaper to build a ton steal

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<v Speaker 3>in the US put a boat to somewhere else?

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<v Speaker 7>All Right?

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<v Speaker 5>So what what's what's this steel call?

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<v Speaker 7>Today?

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<v Speaker 1>You talk to institutional investors in the the three guys

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<v Speaker 1>in Pittsburgh that still invest in this stuff. What's the

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<v Speaker 1>call here? Do I do I buy a new Core?

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<v Speaker 1>Do I buy a US steal? What's what's the investment

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<v Speaker 1>call for this group?

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<v Speaker 3>I mean if you kind of look at New Core,

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<v Speaker 3>Newcore and Steel Dynamics, that I'll perform these these two

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<v Speaker 3>guys by wide margin.

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<v Speaker 5>And that's the function of the technology.

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<v Speaker 3>That I think one function of technology. And two you've

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<v Speaker 3>also New Core and Steel Dynamics have over the last

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<v Speaker 3>few years been more aggressive in moving further downstream.

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<v Speaker 5>Part of this deal.

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<v Speaker 1>And I could go to Jenrey because she's the expert

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<v Speaker 1>in anti trust. What is generally telling you about any

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<v Speaker 1>tit trust here?

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<v Speaker 3>There's going to be I think there's gonna be an

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<v Speaker 3>anti trust review here talking with Jen too. She was

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<v Speaker 3>also so that's another element of YO, another reason whether

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<v Speaker 3>the deal goes up.

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<v Speaker 2>Yeah, I mean I look at the five year performance

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<v Speaker 2>of as we mentioned earlier. You know, US steel has

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<v Speaker 2>returned nothing negative one percent, but new core is has

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<v Speaker 2>tripled over the last five years, and and Steel Dynamics

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<v Speaker 2>is almost there. I mean they're up one hundred and

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<v Speaker 2>seventy percent.

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<v Speaker 5>Money and steel companies.

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<v Speaker 2>Yeah, what are the contracts that you look at for

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<v Speaker 2>the underlying and get ten seconds?

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<v Speaker 6>What are the what are the steel contracts that.

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<v Speaker 3>You look at for the price, the price if you

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<v Speaker 3>look at S T A, N H HC.

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<v Speaker 5>All right, all right, we'll get into the steel business.

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<v Speaker 6>That's w is this hot rold steel? I got rolled

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<v Speaker 6>steel steel?

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<v Speaker 4>All right?

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<v Speaker 5>Rich Richard Borg, thanks so much for joining us.

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<v Speaker 1>Rich Board covers all the steel companies and all that

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<v Speaker 1>good stuff for Bloomberg Intelligence.

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<v Speaker 8>You're listening to the team Ken's are live program Bloomberg

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<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg dot com,

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<v Speaker 8>the iHeartRadio app and the Bloomberg Business app, or listen

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<v Speaker 1>Matt, we like talking to Dan Ees equity als what

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<v Speaker 1>Bush Security is.

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<v Speaker 5>Pretty smart guy.

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<v Speaker 1>We usually learn a thing or two when we talk

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<v Speaker 1>to him, but I don't feel the need to interrupt

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<v Speaker 1>his vacation, particularly when his vacation is increte.

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<v Speaker 5>He's not down at the Jersey Shore.

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<v Speaker 1>He's in crete, and we get a video zoom thing

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<v Speaker 1>going of him right here. Because Bloomberg Markets is simulcast

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<v Speaker 1>on YouTube, you can go to YouTube and search Bloomberg

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<v Speaker 1>Global News. Dan, I hope you're having a great time

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<v Speaker 1>and create it looks beautiful behind you. Give us a

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<v Speaker 1>good sense of what you've kind of just observed just

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<v Speaker 1>in your time over there.

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<v Speaker 4>Yeah.

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<v Speaker 9>No, it's great to be great to be with you, Matt.

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<v Speaker 10>I am look, I mean to me, it's it's it's

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<v Speaker 10>it's always great food, great music. You see some you

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<v Speaker 10>know some obviously some maybe electric vehicles here and there,

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<v Speaker 10>but it's it's been a great it's been great and uh,

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<v Speaker 10>you know, I think it's just a good uh.

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<v Speaker 9>Sort of rest going into what's gonna be an exciting fall.

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<v Speaker 1>All right, Dan, So I'm just looking at the bring

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<v Speaker 1>you back into reality here, the NASTAQ one hundred stock

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<v Speaker 1>index Real Tech heavy here up thirty eight percent year

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<v Speaker 1>to date. Put that stock price performance in context of

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<v Speaker 1>what we've seen from these tech companies for the first

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<v Speaker 1>you know, we just got through their second quarter earnings

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<v Speaker 1>and kind of the outlook for the remainder of the year.

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<v Speaker 5>Put that into into context.

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<v Speaker 10>For US, I Mett, I view this as just a

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<v Speaker 10>little sell off, a pause to what's going to be

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<v Speaker 10>a rally second half of the year for tech. I

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<v Speaker 10>think if you look at numbers overall, from cloud to

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<v Speaker 10>digital media to what we're seeing across enterprise, I.

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<v Speaker 9>Think we're actually it's stronger than expected.

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<v Speaker 10>Now, granted the stocks have run significant, you've seen sell

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<v Speaker 10>offs posed to Apple, Microsoft, Tessa.

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<v Speaker 9>I think it's short lived because I think.

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<v Speaker 10>Second half numbers were conservative and we're seeing upticks across

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<v Speaker 10>the board.

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<v Speaker 9>That's sort of our view going into the year end.

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<v Speaker 2>Dan, where do you think they look most conservative? When

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<v Speaker 2>you when you were going over these earnings reports before

0:11:13.040 --> 0:11:16.600
<v Speaker 2>you jumped on the private jet decrete, where did you

0:11:17.800 --> 0:11:19.920
<v Speaker 2>where did you think, Ah, this is these guys are

0:11:20.040 --> 0:11:20.880
<v Speaker 2>sandbagging US.

0:11:22.160 --> 0:11:25.640
<v Speaker 9>I think Microsoft is extremely conservative.

0:11:25.679 --> 0:11:27.560
<v Speaker 10>I think that's probably the one that sticks out the

0:11:27.600 --> 0:11:31.880
<v Speaker 10>most relative to what we've seen post quarters, especially what

0:11:31.920 --> 0:11:34.600
<v Speaker 10>we see from a from a channel perspective, I think

0:11:34.679 --> 0:11:36.640
<v Speaker 10>cloud actually see an acceleration.

0:11:36.760 --> 0:11:39.079
<v Speaker 9>We saw that with AWS, we see I think as

0:11:39.240 --> 0:11:40.360
<v Speaker 9>with Google as well.

0:11:40.840 --> 0:11:44.680
<v Speaker 10>I think overall cybersecurity, that's probably the sub sector that

0:11:44.760 --> 0:11:48.400
<v Speaker 10>I think sandbag i'll call it the most relative to estimates,

0:11:48.880 --> 0:11:51.679
<v Speaker 10>you know, and that's one where we actually see strength

0:11:51.679 --> 0:11:54.160
<v Speaker 10>going the second half of the year. And I look

0:11:54.200 --> 0:11:57.080
<v Speaker 10>at Apple, I think that's one where everything we see

0:11:57.160 --> 0:12:00.319
<v Speaker 10>from a supply chain perspective is going to be strength

0:12:00.360 --> 0:12:03.400
<v Speaker 10>from this iPhone fifteen, not just into September, but in

0:12:03.520 --> 0:12:07.200
<v Speaker 10>the year end. So that's where I really am looking.

0:12:07.240 --> 0:12:10.600
<v Speaker 10>And I continue to think AI, and we're seeing that

0:12:10.679 --> 0:12:13.240
<v Speaker 10>the mind isetion is gonna be a lot sooner than expected.

0:12:13.520 --> 0:12:14.920
<v Speaker 1>All Right, That's kind of where I wanted to go

0:12:15.040 --> 0:12:17.640
<v Speaker 1>dan AI, because that's been one of the if not

0:12:17.720 --> 0:12:20.360
<v Speaker 1>the driving force behind some of the performers we've seen

0:12:20.360 --> 0:12:23.160
<v Speaker 1>out of these the NASDAQ one hundred and big tech names.

0:12:23.720 --> 0:12:26.200
<v Speaker 1>When you talk to the institutional investor clients, what's kind

0:12:26.200 --> 0:12:31.719
<v Speaker 1>of the key question regarding AI that you get from them.

0:12:32.440 --> 0:12:35.520
<v Speaker 10>I think the big question is within Nvidia's guidance heard

0:12:35.559 --> 0:12:38.800
<v Speaker 10>around the world last quarter, the four billion dollaries. Okay,

0:12:38.840 --> 0:12:41.520
<v Speaker 10>well we're not going to We're not seeing that ramp

0:12:41.559 --> 0:12:45.560
<v Speaker 10>as quick across software. That's maybe the knee jerk disappointment

0:12:45.960 --> 0:12:48.400
<v Speaker 10>from Microsoft to maybe some of the chip names.

0:12:49.000 --> 0:12:50.880
<v Speaker 9>I think that's that's misplaced.

0:12:51.000 --> 0:12:53.160
<v Speaker 10>I think this is really just the start of what

0:12:53.240 --> 0:12:56.640
<v Speaker 10>I've used sort of fourth Industrial Revolution, almost AI goal rush,

0:12:56.760 --> 0:12:59.760
<v Speaker 10>playing out a trillion dollars of incremental spend.

0:13:00.200 --> 0:13:01.840
<v Speaker 9>And I just hit back of clients.

0:13:01.960 --> 0:13:04.160
<v Speaker 10>You know, from everything we see next year it's eight

0:13:04.200 --> 0:13:07.400
<v Speaker 10>to ten percent of budgets in terms of AI versus

0:13:07.440 --> 0:13:11.040
<v Speaker 10>less than one percent today. That iView is really going

0:13:11.080 --> 0:13:13.839
<v Speaker 10>to be the catalyst for this tech. What I view

0:13:13.920 --> 0:13:16.760
<v Speaker 10>is really the new tech bull market that's already begun

0:13:17.160 --> 0:13:19.920
<v Speaker 10>to continue well into twenty twenty four.

0:13:21.000 --> 0:13:25.760
<v Speaker 2>We're where have markets or what have markets missed? Because

0:13:25.760 --> 0:13:29.120
<v Speaker 2>in video we have all seen and everyone's impressed, and

0:13:29.120 --> 0:13:30.840
<v Speaker 2>I think everyone even Paul has bought some.

0:13:31.280 --> 0:13:33.319
<v Speaker 6>What what have we overlooked?

0:13:35.559 --> 0:13:35.760
<v Speaker 9>Well?

0:13:35.800 --> 0:13:38.440
<v Speaker 10>I think I think what's markets maybe missing the near

0:13:38.600 --> 0:13:41.480
<v Speaker 10>term is just what a catalyst this is going to

0:13:41.559 --> 0:13:43.199
<v Speaker 10>be for software.

0:13:43.520 --> 0:13:45.800
<v Speaker 9>I think really it's the software when I look at.

0:13:46.040 --> 0:13:50.360
<v Speaker 10>Names like Salesforce, Mango, dB, you look at AI names

0:13:50.400 --> 0:13:52.760
<v Speaker 10>like Pou and Teer. I think it's the second, third,

0:13:52.840 --> 0:13:57.120
<v Speaker 10>fourth derivatives that maybe market's missing out here and just

0:13:57.160 --> 0:14:00.000
<v Speaker 10>maybe underestimating it because I believe this is a nineteen

0:14:00.080 --> 0:14:03.440
<v Speaker 10>ninety five moment Star of the Internet nine nineteen ninety nine,

0:14:03.480 --> 0:14:07.160
<v Speaker 10>two thousand moment. I think that dynamic is why we

0:14:07.240 --> 0:14:09.959
<v Speaker 10>see tech stocks of fifteen percent second half of the year.

0:14:10.960 --> 0:14:13.319
<v Speaker 1>Dan, you mentioned Palenteer, and I know you recently initiated

0:14:13.400 --> 0:14:16.600
<v Speaker 1>coverage there. Not a lot of people know what Palenteer is.

0:14:17.559 --> 0:14:20.440
<v Speaker 1>Give us just a quick description what Palenteer is, uh,

0:14:20.760 --> 0:14:21.960
<v Speaker 1>and why you like this name?

0:14:23.200 --> 0:14:26.840
<v Speaker 10>Yeah, and that's one you know, car create Palenteer really

0:14:26.880 --> 0:14:27.880
<v Speaker 10>coming out of the government.

0:14:28.080 --> 0:14:30.480
<v Speaker 9>You know, if you look at where their success has been.

0:14:30.720 --> 0:14:35.240
<v Speaker 10>Really machine learning is who's who they are, and now

0:14:35.280 --> 0:14:38.400
<v Speaker 10>it's happening from a use case perspective, they probably have

0:14:39.040 --> 0:14:43.080
<v Speaker 10>the most robust pure play AI platform and use cases

0:14:43.120 --> 0:14:46.880
<v Speaker 10>out there, so you're seeing across enterprise, across government. I

0:14:47.000 --> 0:14:49.720
<v Speaker 10>look at it as a pure PLAYAI play of course

0:14:49.760 --> 0:14:53.920
<v Speaker 10>in Nvidia, Microsoft, Google, Mango dB among others, but this

0:14:53.960 --> 0:14:55.120
<v Speaker 10>is really front and center.

0:14:55.160 --> 0:14:55.960
<v Speaker 9>I think it's a it's an.

0:14:55.960 --> 0:14:59.400
<v Speaker 10>Undiscovered gem in my opinion relative to the broader.

0:14:59.440 --> 0:14:59.920
<v Speaker 9>AI try.

0:15:00.840 --> 0:15:01.880
<v Speaker 6>Let's get to Tesla.

0:15:02.000 --> 0:15:04.640
<v Speaker 2>I want to ask you about the price cuts in China.

0:15:05.400 --> 0:15:07.920
<v Speaker 2>Paul brought this up already. Weren't they supposed to stop

0:15:07.960 --> 0:15:08.320
<v Speaker 2>doing that?

0:15:10.080 --> 0:15:12.360
<v Speaker 9>Yeah, look we've said that here and there you could

0:15:12.360 --> 0:15:15.120
<v Speaker 9>see some price cuts, but this only impacts what fifteen

0:15:15.200 --> 0:15:19.200
<v Speaker 9>percent of when you look at model wise impacted, it's

0:15:19.240 --> 0:15:21.920
<v Speaker 9>really around the edges. I mean mostly you're really not

0:15:21.960 --> 0:15:23.840
<v Speaker 9>seeing price cuts across in China.

0:15:24.000 --> 0:15:24.120
<v Speaker 4>Now.

0:15:24.160 --> 0:15:27.240
<v Speaker 10>Of course, headline it's gonna look negative, but if I

0:15:27.280 --> 0:15:30.480
<v Speaker 10>look from a demand perspective, China continues to be strong.

0:15:30.840 --> 0:15:33.520
<v Speaker 10>I think on track from one point e potentially higher

0:15:33.560 --> 0:15:36.640
<v Speaker 10>in terms of million units for the year. And right

0:15:36.680 --> 0:15:39.600
<v Speaker 10>now they are just I view, this is almost halftime

0:15:39.960 --> 0:15:42.960
<v Speaker 10>of the super Bowl. But does this they're just gearing up.

0:15:43.120 --> 0:15:45.400
<v Speaker 2>But does this kick off? Does this kick off another

0:15:45.440 --> 0:15:47.120
<v Speaker 2>price war Dan in China?

0:15:48.320 --> 0:15:50.600
<v Speaker 10>I don't think so, because Matt we've talked to, I mean,

0:15:51.000 --> 0:15:53.240
<v Speaker 10>all the work that we've done the last two three weeks,

0:15:53.400 --> 0:15:55.360
<v Speaker 10>we think ninety five percent of the price cuts are

0:15:55.360 --> 0:15:57.560
<v Speaker 10>basically done in China. In terms of that price I

0:15:57.560 --> 0:16:00.760
<v Speaker 10>don't see this igniting the next stage to the price war,

0:16:00.800 --> 0:16:03.400
<v Speaker 10>which is why we're buyers here on weakness. I think

0:16:03.400 --> 0:16:04.920
<v Speaker 10>this is Barkwurson bite.

0:16:05.520 --> 0:16:08.200
<v Speaker 1>Hey, danis just looking at the PGeo function on the

0:16:08.240 --> 0:16:11.400
<v Speaker 1>Bloomberg terminal, which gives you a breakdown of the company's

0:16:11.400 --> 0:16:14.320
<v Speaker 1>businesses by measured by geography, by segment. And I'm looking

0:16:14.360 --> 0:16:16.240
<v Speaker 1>at the bi geography and China is now up to

0:16:16.720 --> 0:16:20.400
<v Speaker 1>you more than twenty percent of revenue for Tesla. How

0:16:20.440 --> 0:16:24.760
<v Speaker 1>does Elon musk How does Tesla manage its relationship with

0:16:24.800 --> 0:16:26.680
<v Speaker 1>such an important market like China?

0:16:26.680 --> 0:16:27.480
<v Speaker 5>How do they manage it?

0:16:28.840 --> 0:16:31.000
<v Speaker 10>I mean they take a page out of the playbook

0:16:31.040 --> 0:16:35.360
<v Speaker 10>from Cook and Apple because it's ten percent political ninety

0:16:35.360 --> 0:16:37.600
<v Speaker 10>percent business. But ultimately, I mean if you look at

0:16:38.000 --> 0:16:41.520
<v Speaker 10>you President g and in China, they look at having

0:16:41.600 --> 0:16:45.160
<v Speaker 10>Tesla in terms of Giga Shanghai potentially second.

0:16:44.840 --> 0:16:45.520
<v Speaker 9>Factory as well.

0:16:45.560 --> 0:16:48.280
<v Speaker 10>That's a that's a trophy case in terms of having

0:16:48.320 --> 0:16:51.120
<v Speaker 10>Tesla as well as Apple there. It's a major part

0:16:51.160 --> 0:16:53.200
<v Speaker 10>of production, a major part of the mand It's the

0:16:53.200 --> 0:16:54.880
<v Speaker 10>hearts and lungs of the story.

0:16:55.240 --> 0:16:57.840
<v Speaker 9>And that's been that tight groupe, that balancing act.

0:16:57.840 --> 0:17:00.640
<v Speaker 10>It's been one of the key successes that has been

0:17:00.680 --> 0:17:04.800
<v Speaker 10>able to navigate despite many worrying about the geopolitical and

0:17:04.840 --> 0:17:07.040
<v Speaker 10>I think they continue to gain and share there along

0:17:07.080 --> 0:17:09.320
<v Speaker 10>with Apple, and I think that's a story that's going

0:17:09.359 --> 0:17:10.320
<v Speaker 10>to continue to play out.

0:17:10.600 --> 0:17:11.800
<v Speaker 5>But to what.

0:17:11.840 --> 0:17:16.119
<v Speaker 1>Extent do investors or do you view their exposure to

0:17:16.280 --> 0:17:17.960
<v Speaker 1>China as a meaningful risk.

0:17:19.600 --> 0:17:24.000
<v Speaker 10>I view it as a background noise, headline risk.

0:17:24.480 --> 0:17:26.320
<v Speaker 9>I think they've been able to navigate that well.

0:17:26.359 --> 0:17:28.159
<v Speaker 10>I think maybe some of the risks, the most of

0:17:28.200 --> 0:17:31.120
<v Speaker 10>that was probably in the rear view mirror. It's still

0:17:31.119 --> 0:17:33.040
<v Speaker 10>gonna you know, for here and there, just given the

0:17:33.119 --> 0:17:36.040
<v Speaker 10>geopolitical but you know, we view a more as an

0:17:36.040 --> 0:17:39.240
<v Speaker 10>opportunity than a risk for the likes of test on

0:17:39.240 --> 0:17:41.359
<v Speaker 10>an Apple, and that that continues to be our view

0:17:42.000 --> 0:17:43.720
<v Speaker 10>of China in terms of those stories.

0:17:44.359 --> 0:17:46.760
<v Speaker 2>I just want to ask about the competition you see

0:17:46.800 --> 0:17:51.600
<v Speaker 2>from GM and Ford. I was over looking at Cadillacs

0:17:51.640 --> 0:17:55.960
<v Speaker 2>new Escalade IQ, which is awesome but expensive, so it's

0:17:56.000 --> 0:17:59.120
<v Speaker 2>not going to compete really with anything Tesla makes other

0:17:59.160 --> 0:18:00.679
<v Speaker 2>than I guess the X.

0:18:00.920 --> 0:18:02.480
<v Speaker 6>I don't think that would be a fair fight.

0:18:02.560 --> 0:18:06.080
<v Speaker 2>But are they gonna are the are the incumbent automakers

0:18:06.119 --> 0:18:08.200
<v Speaker 2>going to really bring it Tesla in terms of affordable

0:18:08.200 --> 0:18:09.120
<v Speaker 2>electric vehicles?

0:18:10.520 --> 0:18:11.359
<v Speaker 9>Well, that's the key.

0:18:11.440 --> 0:18:13.040
<v Speaker 10>I mean, if you what's come out of three win

0:18:13.160 --> 0:18:16.320
<v Speaker 10>three area code more affordable evs.

0:18:16.520 --> 0:18:19.119
<v Speaker 9>I think what Farley's doing to Ford or Mary's doing it,

0:18:19.680 --> 0:18:21.760
<v Speaker 9>you know GM. I think it's the right strategy, and

0:18:21.800 --> 0:18:23.040
<v Speaker 9>it's not a zero some game.

0:18:23.080 --> 0:18:26.160
<v Speaker 10>I think they are going to really transform those companies

0:18:26.160 --> 0:18:28.600
<v Speaker 10>in terms of four and GM, but Tesla in terms

0:18:28.640 --> 0:18:31.720
<v Speaker 10>of electric vehicles, it's still Tesla's world. Everyone else is

0:18:31.720 --> 0:18:34.480
<v Speaker 10>paying rent. And I think this is just start of

0:18:34.520 --> 0:18:37.520
<v Speaker 10>this green tidle wave five trillion dour green tyway that's

0:18:37.560 --> 0:18:41.480
<v Speaker 10>really going to transform autos across the board, from Tesla.

0:18:41.240 --> 0:18:44.359
<v Speaker 9>To three win three area code Europe and of course China.

0:18:44.520 --> 0:18:46.679
<v Speaker 1>Hey Dan, thanks so much for joining us. Well appreciate

0:18:46.720 --> 0:18:48.960
<v Speaker 1>you taking a few minutes out of your holiday. Dan

0:18:49.040 --> 0:18:52.560
<v Speaker 1>ives from Crete. He's a managing director senior equity analyst

0:18:52.560 --> 0:18:54.640
<v Speaker 1>at web Busch Securities. I don't know that water behind

0:18:54.800 --> 0:18:56.439
<v Speaker 1>is at the gen C or the Mediterranean.

0:18:56.680 --> 0:18:57.560
<v Speaker 5>I mean there's both of there.

0:18:57.560 --> 0:18:59.840
<v Speaker 2>I mean, what's what, I guess that's the med Yeah,

0:19:00.119 --> 0:19:03.080
<v Speaker 2>both of them are. It's a completely random gas and

0:19:03.160 --> 0:19:03.920
<v Speaker 2>I have no way.

0:19:04.080 --> 0:19:05.760
<v Speaker 5>I'm looking at my Google maps here. It could be either.

0:19:05.760 --> 0:19:07.200
<v Speaker 5>I don't know where one starts the other one begins.

0:19:07.240 --> 0:19:09.840
<v Speaker 5>Don't see at the tree right off, right off?

0:19:09.880 --> 0:19:12.480
<v Speaker 1>I guess the southern coast there of Greece, part of

0:19:12.560 --> 0:19:15.240
<v Speaker 1>Greece's largest island and vacation spot in Greece.

0:19:15.400 --> 0:19:17.480
<v Speaker 5>How about that? So Dan I was over there getting

0:19:17.480 --> 0:19:18.800
<v Speaker 5>a little R and R. Good for him.

0:19:19.119 --> 0:19:22.200
<v Speaker 8>You're listening to the tape catch are live program Bloomberg

0:19:22.320 --> 0:19:25.919
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0:19:25.960 --> 0:19:27.920
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0:19:27.880 --> 0:19:29.200
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0:19:29.240 --> 0:19:32.040
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0:19:32.080 --> 0:19:42.400
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0:19:40.080 --> 0:19:43.320
<v Speaker 1>Lots going on today, Matt in kind of just geopolitics

0:19:43.359 --> 0:19:47.040
<v Speaker 1>around the world. Argentina, they had a primary vote. I

0:19:47.040 --> 0:19:52.720
<v Speaker 1>guess a populist leaning person, not just any populous. He

0:19:52.840 --> 0:19:56.920
<v Speaker 1>looks like a cross between Elvis Presley and Johnny Cash. Nice.

0:19:57.080 --> 0:19:59.440
<v Speaker 2>Maybe throw a little James Spader in there. U.

0:20:00.200 --> 0:20:02.320
<v Speaker 6>He has I think five.

0:20:02.160 --> 0:20:05.960
<v Speaker 2>Or six giant dogs, each one named after a different

0:20:06.440 --> 0:20:12.200
<v Speaker 2>Austrian economist or I mean like liberal free market economists.

0:20:12.480 --> 0:20:14.000
<v Speaker 2>One of them is called Milton Friedman. I know from

0:20:14.000 --> 0:20:18.480
<v Speaker 2>the Bloomberg story, and I mean there's such a great

0:20:18.520 --> 0:20:20.280
<v Speaker 2>story on the terminal that if you haven't read it,

0:20:20.320 --> 0:20:24.120
<v Speaker 2>I highly recommend going to uh Bloomberg dot com on

0:20:24.000 --> 0:20:26.040
<v Speaker 2>the on the computer or on your or on your

0:20:26.080 --> 0:20:27.760
<v Speaker 2>terminal checking it out because it's really good.

0:20:27.800 --> 0:20:30.680
<v Speaker 1>And we've got big moves in the currencies and the

0:20:31.240 --> 0:20:33.760
<v Speaker 1>bonds and the treasure treasure of the government bonds there

0:20:33.760 --> 0:20:36.200
<v Speaker 1>in Argentina as well. So let's get the latest reporting there.

0:20:36.280 --> 0:20:39.560
<v Speaker 1>Manuela Tobias she joined us. She's the economy and government

0:20:39.600 --> 0:20:42.440
<v Speaker 1>reporter for Bloomberg News. Menuel it's just let's just start

0:20:42.480 --> 0:20:46.880
<v Speaker 1>off by just reframing what happened in this primary and

0:20:46.880 --> 0:20:49.080
<v Speaker 1>and what has been the reaction in Argentina.

0:20:49.720 --> 0:20:51.639
<v Speaker 5>Menuela is in Buenos As today.

0:20:53.119 --> 0:20:59.520
<v Speaker 11>Hey, yeah, so yesterday it was just a complete upset.

0:21:00.280 --> 0:21:05.000
<v Speaker 11>The economists you guys have been talking about. Outsider presidential

0:21:05.040 --> 0:21:09.480
<v Speaker 11>bid was not expected to get more than twenty percent

0:21:10.000 --> 0:21:14.679
<v Speaker 11>in this three way race. There was the incumbent, the

0:21:14.760 --> 0:21:18.400
<v Speaker 11>main opposition block that everyone saw as winning, and the

0:21:18.480 --> 0:21:21.720
<v Speaker 11>question mark was around you know what kind of margin

0:21:21.920 --> 0:21:25.159
<v Speaker 11>they would be the incumbent buy and then Relay just

0:21:25.760 --> 0:21:30.200
<v Speaker 11>completely surprised everyone and got thirty percent of the vote,

0:21:30.200 --> 0:21:33.840
<v Speaker 11>becoming the most voted candidates as well as the most

0:21:33.920 --> 0:21:41.000
<v Speaker 11>voted block, and that just sent everyone into panic mode.

0:21:41.160 --> 0:21:44.080
<v Speaker 11>No one was expecting this on the political side, and

0:21:44.200 --> 0:21:48.440
<v Speaker 11>much less on the market side. This was the least

0:21:48.560 --> 0:21:52.359
<v Speaker 11>likely scenario and definitely the one that was going to

0:21:52.440 --> 0:21:56.240
<v Speaker 11>see the most panic, and that's exactly what we're seeing today.

0:21:57.880 --> 0:22:02.240
<v Speaker 11>The central Bank just raised its key rate from the

0:22:02.400 --> 0:22:05.840
<v Speaker 11>already very high ninety seven percent to one hundred and eighteen,

0:22:06.520 --> 0:22:13.640
<v Speaker 11>and he valued the bissal, which was treating to it's

0:22:13.760 --> 0:22:17.880
<v Speaker 11>it's an officially set rate, from eighty seven to three

0:22:17.920 --> 0:22:19.680
<v Speaker 11>point fifty today.

0:22:20.040 --> 0:22:23.800
<v Speaker 6>I love the quote from your story, Manuela.

0:22:24.119 --> 0:22:26.919
<v Speaker 2>He says, remember, a different Argentina is impossible with the

0:22:26.960 --> 0:22:29.000
<v Speaker 2>same people as always, with the same people that have

0:22:29.119 --> 0:22:32.080
<v Speaker 2>always failed. Uh, you got to get rid of all

0:22:32.080 --> 0:22:36.240
<v Speaker 2>that old blood, right, I mean, does he really want

0:22:36.280 --> 0:22:39.160
<v Speaker 2>to throw out everybody who's been there?

0:22:39.200 --> 0:22:39.400
<v Speaker 6>Well?

0:22:39.560 --> 0:22:42.160
<v Speaker 2>Does he really want to start a revolution here?

0:22:44.200 --> 0:22:50.000
<v Speaker 11>That is that's his proposal, and that's exactly why people

0:22:50.040 --> 0:22:54.080
<v Speaker 11>support him, you know, talking to his voters, this was,

0:22:54.960 --> 0:22:58.280
<v Speaker 11>you know, very much a question mark collection. No one

0:22:58.359 --> 0:23:02.400
<v Speaker 11>knew what was coming, and all the Post has described

0:23:02.440 --> 0:23:06.240
<v Speaker 11>it as one with high levels of apathy among voters.

0:23:06.240 --> 0:23:08.520
<v Speaker 11>I mean, you know, we have inflation running at one

0:23:08.640 --> 0:23:12.840
<v Speaker 11>hundred and sixteen percent, nearly forty percent of the population

0:23:13.080 --> 0:23:17.359
<v Speaker 11>is below the poverty line. Things are pretty desperate here,

0:23:17.440 --> 0:23:23.600
<v Speaker 11>and you know you need the thinking among his voters,

0:23:23.600 --> 0:23:26.800
<v Speaker 11>which you know who turned out and droves, is you

0:23:26.880 --> 0:23:29.800
<v Speaker 11>need someone just as crazy as a situation that that

0:23:29.920 --> 0:23:33.400
<v Speaker 11>we're experiencing to get us out of this mess. And

0:23:33.600 --> 0:23:36.400
<v Speaker 11>you know that was his campaign message. He said, I'm

0:23:36.440 --> 0:23:41.280
<v Speaker 11>gonna blow it all up. In fact, during his the

0:23:41.640 --> 0:23:47.880
<v Speaker 11>campaign closing event to get you know, his his fans

0:23:48.080 --> 0:23:52.640
<v Speaker 11>riled up. Before coming on stage, he had a of

0:23:52.720 --> 0:23:57.399
<v Speaker 11>videos of buildings blowing up h literally and people you know,

0:23:57.480 --> 0:24:00.720
<v Speaker 11>going crazy in the crowd, you know, before he came

0:24:00.760 --> 0:24:04.760
<v Speaker 11>on and just started singing his theme song and you

0:24:04.800 --> 0:24:14.720
<v Speaker 11>know his his his big bontra is you know uh uh.

0:24:14.600 --> 0:24:17.480
<v Speaker 6>So yeah, wait, what what is that? What's the translation

0:24:17.560 --> 0:24:17.880
<v Speaker 6>of that?

0:24:21.600 --> 0:24:27.159
<v Speaker 11>It basically means, uh sorry, I'm trying to translate in

0:24:27.200 --> 0:24:29.760
<v Speaker 11>my head now we have it at the on the

0:24:29.840 --> 0:24:34.760
<v Speaker 11>lead of the story. It's well, let's go liberty.

0:24:34.720 --> 0:24:40.240
<v Speaker 2>Dam I see long lived freedom damn it exactly the translation.

0:24:40.320 --> 0:24:43.040
<v Speaker 1>All right, So Menmuel, what's the next steps out here

0:24:43.280 --> 0:24:45.760
<v Speaker 1>in Argentina on this political process?

0:24:47.440 --> 0:24:47.760
<v Speaker 8>Uh?

0:24:48.280 --> 0:24:52.159
<v Speaker 11>So, okay, So this was a primary election, very different

0:24:52.240 --> 0:24:54.840
<v Speaker 11>from from the primaries you guys are probably used to,

0:24:56.080 --> 0:24:59.639
<v Speaker 11>where you know, there's different different parties have their own votes.

0:24:59.760 --> 0:25:03.160
<v Speaker 11>This is kind of like a general because everyone, all

0:25:03.200 --> 0:25:08.320
<v Speaker 11>the candidates are on the ballot and so and polls,

0:25:08.520 --> 0:25:13.360
<v Speaker 11>as we just went over, are completely unreliable, and so

0:25:13.560 --> 0:25:16.359
<v Speaker 11>this was kind of a thermometer of what's to come

0:25:16.720 --> 0:25:21.240
<v Speaker 11>in the general. This knocked out one of the two

0:25:22.760 --> 0:25:28.239
<v Speaker 11>candidates in the pro market business coalition. Uh, and you know,

0:25:28.440 --> 0:25:33.560
<v Speaker 11>left the incumbent party pretty knocked down. It's a historically

0:25:34.480 --> 0:25:39.000
<v Speaker 11>poor election for the parentist left wing party. So what

0:25:39.040 --> 0:25:42.760
<v Speaker 11>this means is we have an October election coming up

0:25:42.840 --> 0:25:47.800
<v Speaker 11>that's a general. In order to win that election, the

0:25:48.119 --> 0:25:50.760
<v Speaker 11>winning candidate needs to get forty five percent of the

0:25:50.840 --> 0:25:56.720
<v Speaker 11>vote or forty percent with a ten percentage point ten

0:25:56.840 --> 0:26:00.320
<v Speaker 11>ten points above you know, the runner up. If we

0:26:00.600 --> 0:26:04.160
<v Speaker 11>don't get to that, which is looking increasingly likely. With

0:26:04.640 --> 0:26:09.000
<v Speaker 11>you know this this free literally divided in three, we

0:26:09.080 --> 0:26:12.639
<v Speaker 11>could go to a runoff, which would come in November.

0:26:13.520 --> 0:26:16.440
<v Speaker 11>So uncertainty is is certainly the.

0:26:17.400 --> 0:26:20.680
<v Speaker 2>So just just to circle back to Javier Malai here

0:26:22.640 --> 0:26:26.920
<v Speaker 2>he I mean, in the story we say that he's

0:26:27.200 --> 0:26:31.240
<v Speaker 2>kind of radical with some far out ideas, and I

0:26:31.280 --> 0:26:33.520
<v Speaker 2>think the term crazy was was thrown in there.

0:26:33.920 --> 0:26:36.360
<v Speaker 6>But his dog's name Milton Friedman.

0:26:36.560 --> 0:26:39.679
<v Speaker 2>So for those of us in this country, Manuela Milton

0:26:39.720 --> 0:26:47.360
<v Speaker 2>Friedman is a pretty sound thinking free market capitalist economists, Like, uh,

0:26:47.880 --> 0:26:54.080
<v Speaker 2>what's the crazy part of Milly's propositions here, because it

0:26:54.119 --> 0:26:56.760
<v Speaker 2>seems like I don't see anything that that far out

0:26:56.760 --> 0:26:57.720
<v Speaker 2>there for us.

0:26:57.920 --> 0:27:02.840
<v Speaker 11>Yeah, of course, okay, So that you know, I think

0:27:02.840 --> 0:27:07.760
<v Speaker 11>that's part of the nuance here is that his his reforms,

0:27:07.800 --> 0:27:10.040
<v Speaker 11>you know, the policy ideas that he has, which is,

0:27:10.320 --> 0:27:12.960
<v Speaker 11>you know, cutting public spending. In fact, he says, you know,

0:27:13.040 --> 0:27:17.560
<v Speaker 11>bringing a chain saw to public spending. These are you know,

0:27:17.680 --> 0:27:20.560
<v Speaker 11>the kind of ideas that that could support that the

0:27:20.600 --> 0:27:25.800
<v Speaker 11>Pro Business Coalition is proposing. But he has a certain

0:27:26.240 --> 0:27:29.920
<v Speaker 11>in you know, eccentricity to him. We're talking about his dog.

0:27:30.440 --> 0:27:34.359
<v Speaker 11>This uh, this dog, he refers to him as his son.

0:27:34.880 --> 0:27:38.840
<v Speaker 11>And then the four the four kids that this dog

0:27:38.920 --> 0:27:44.680
<v Speaker 11>had are his grandkids. That that that oldest dog died

0:27:45.000 --> 0:27:49.719
<v Speaker 11>and he actually had it cloned. He had another another

0:27:49.800 --> 0:27:54.000
<v Speaker 11>dog and was you know, talking about him again.

0:27:54.040 --> 0:27:56.040
<v Speaker 6>I'm again, I'm totally understanding all of this.

0:27:57.400 --> 0:27:59.520
<v Speaker 1>All right, Matt Manuel. You've got a lot going on

0:27:59.600 --> 0:28:02.680
<v Speaker 1>down there. We're gonna look forward to some more reporting

0:28:02.720 --> 0:28:07.080
<v Speaker 1>down there, but a big, big surprise in the primary

0:28:07.080 --> 0:28:09.680
<v Speaker 1>election down there, which is royling the financial markets down

0:28:10.200 --> 0:28:11.800
<v Speaker 1>in Argentina.

0:28:12.600 --> 0:28:16.040
<v Speaker 8>You're listening to the team Ken's our live program, Bloomberg

0:28:16.080 --> 0:28:19.439
<v Speaker 8>Markets weekdays at ten am eastering on Bloomberg dot com,

0:28:19.520 --> 0:28:22.680
<v Speaker 8>the iHeartRadio app and the Bloomberg Business App, or listen

0:28:22.760 --> 0:28:24.880
<v Speaker 8>on demand wherever you get your podcasts.

0:28:26.800 --> 0:28:28.560
<v Speaker 5>A hotspot to another, that being China.

0:28:28.560 --> 0:28:30.280
<v Speaker 1>We got a lot of economic data coming out of

0:28:30.359 --> 0:28:33.280
<v Speaker 1>China which was we're not economic but more just some

0:28:33.280 --> 0:28:35.919
<v Speaker 1>financial data going on about the economy and some of

0:28:35.920 --> 0:28:39.040
<v Speaker 1>the businesses there. Tom Orlock joins his chief economists and

0:28:39.120 --> 0:28:43.200
<v Speaker 1>chief ASA economists for Bloomberg Economics. Tom, you lived and

0:28:43.240 --> 0:28:46.120
<v Speaker 1>worked in Beijing four years. You know what's going on there.

0:28:47.360 --> 0:28:49.240
<v Speaker 1>You know, I think twenty twenty three people went into

0:28:49.320 --> 0:28:51.240
<v Speaker 1>saying this is gonna be a good year for China.

0:28:51.280 --> 0:28:55.040
<v Speaker 1>The economy's reopening, We're gonna be a good year for China.

0:28:55.040 --> 0:28:56.840
<v Speaker 5>It's not turning out to be that way.

0:28:56.840 --> 0:28:59.560
<v Speaker 1>What are some of the key headwinds that we've been

0:28:59.600 --> 0:29:01.920
<v Speaker 1>reading in the last couple of days.

0:29:02.720 --> 0:29:06.840
<v Speaker 12>So the really big challenge for China's economy this year, Paul,

0:29:07.000 --> 0:29:09.880
<v Speaker 12>is what's happening in real estate. Real estate is a

0:29:10.000 --> 0:29:15.120
<v Speaker 12>critically important driver of China's economic growth. It's also where

0:29:15.160 --> 0:29:18.960
<v Speaker 12>households have most of their wealth. Chinese households, they haven't

0:29:18.960 --> 0:29:20.600
<v Speaker 12>got a lot in stocks, they haven't got a lot

0:29:20.600 --> 0:29:25.040
<v Speaker 12>in bonds. It's all in their houses. And what's happening

0:29:25.120 --> 0:29:29.200
<v Speaker 12>right now is there's just been massive overbuilding in the

0:29:29.200 --> 0:29:31.840
<v Speaker 12>real estate sector, and there as a consequence of that,

0:29:31.920 --> 0:29:36.640
<v Speaker 12>we're now seeing property sales falling, property investment falling, and

0:29:36.720 --> 0:29:41.520
<v Speaker 12>property prices, especially in some smaller cities falling. Now, that

0:29:41.720 --> 0:29:44.400
<v Speaker 12>was already part of the narrative in twenty twenty two,

0:29:44.920 --> 0:29:48.520
<v Speaker 12>what's happening in twenty twenty three is getting worse. We've

0:29:48.560 --> 0:29:51.880
<v Speaker 12>now got news that Country Garden, one of China's biggest

0:29:51.920 --> 0:29:56.280
<v Speaker 12>property developers, is struggling to repair its debt, and we've

0:29:56.320 --> 0:29:59.360
<v Speaker 12>got some alarming signs that this is now tipping over

0:29:59.640 --> 0:30:03.520
<v Speaker 12>into the financial sector. One of China's biggest trust companies

0:30:03.760 --> 0:30:05.760
<v Speaker 12>struggling to make its investors whole.

0:30:06.960 --> 0:30:12.320
<v Speaker 2>So what happens here, I mean, if one of their

0:30:12.360 --> 0:30:16.000
<v Speaker 2>biggest trust companies starts defaulting on payments, doesn't the government

0:30:16.120 --> 0:30:19.200
<v Speaker 2>just come in take it over and make those payments

0:30:19.240 --> 0:30:21.480
<v Speaker 2>in lieu of the failed company.

0:30:22.120 --> 0:30:26.400
<v Speaker 12>So the strength that China still has is that the

0:30:26.480 --> 0:30:30.640
<v Speaker 12>savings rate within China is really high. It's hard to

0:30:30.680 --> 0:30:33.280
<v Speaker 12>take money out of the country. And if you look

0:30:33.320 --> 0:30:36.000
<v Speaker 12>at not the shadow banking system, not the shadow banks

0:30:36.000 --> 0:30:39.480
<v Speaker 12>like the trusts, but the banking system proper, it's all

0:30:39.520 --> 0:30:42.800
<v Speaker 12>owned by the government. And what that means is that

0:30:42.880 --> 0:30:46.360
<v Speaker 12>China's government has a lot of tools they can use

0:30:46.640 --> 0:30:51.920
<v Speaker 12>to prevent real estate stress, even extreme real estate stress,

0:30:52.120 --> 0:30:56.280
<v Speaker 12>tipping over into a financial crisis. The question is where

0:30:56.320 --> 0:31:00.640
<v Speaker 12>do they draw the light right, A trust company, even

0:31:00.680 --> 0:31:03.480
<v Speaker 12>a really big trust company, is not what you would

0:31:03.520 --> 0:31:07.360
<v Speaker 12>consider a core part of China's financial system. If a

0:31:07.360 --> 0:31:11.040
<v Speaker 12>trust company goes down, some rich investors are going to

0:31:11.080 --> 0:31:14.000
<v Speaker 12>lose some money. It's going to be a bit painful

0:31:14.040 --> 0:31:16.200
<v Speaker 12>for a sort of that group, but it's not going

0:31:16.280 --> 0:31:19.480
<v Speaker 12>to be a trigger for a systemic crisis. The question

0:31:19.560 --> 0:31:22.760
<v Speaker 12>for Beijing in the days and weeks ahead is are

0:31:22.760 --> 0:31:26.320
<v Speaker 12>they okay with big trust companies going down. If big

0:31:26.320 --> 0:31:30.040
<v Speaker 12>trust companies go down, are they okay with small banks

0:31:30.080 --> 0:31:33.200
<v Speaker 12>going down? If small banks go down? Are they okay

0:31:33.200 --> 0:31:35.760
<v Speaker 12>with city banks going down? Where do they draw the line?

0:31:36.280 --> 0:31:40.320
<v Speaker 12>My instinct is the trusts, the shadow banks, they might

0:31:40.360 --> 0:31:42.520
<v Speaker 12>have to get through this on their own. When we

0:31:42.560 --> 0:31:46.360
<v Speaker 12>start to see problems trickling into the banking system, even

0:31:46.400 --> 0:31:49.200
<v Speaker 12>the smaller city level banks, that's where Beijing steps in.

0:31:50.280 --> 0:31:53.480
<v Speaker 1>So Tom, how much of a political headwind is this

0:31:53.640 --> 0:31:56.880
<v Speaker 1>for President Xi, who just recently secured another I don't

0:31:56.920 --> 0:32:00.400
<v Speaker 1>think it's five year term, if not more of an

0:32:00.440 --> 0:32:01.960
<v Speaker 1>issues is for him politically.

0:32:02.800 --> 0:32:08.480
<v Speaker 12>So China does not have elections, but China does have politics.

0:32:08.600 --> 0:32:11.400
<v Speaker 12>And if you're in charge of an economy with a

0:32:11.440 --> 0:32:16.360
<v Speaker 12>youth unemployment rate of twenty percent and with prices for housing,

0:32:16.600 --> 0:32:19.120
<v Speaker 12>which is where most Chinese people have stored their wealth

0:32:19.360 --> 0:32:23.760
<v Speaker 12>either flat or falling, then you've got a political problem.

0:32:24.120 --> 0:32:27.480
<v Speaker 12>How does that play out in a single party state. Well,

0:32:27.920 --> 0:32:30.479
<v Speaker 12>the first thing to say is it plays out behind

0:32:30.560 --> 0:32:31.120
<v Speaker 12>the scenes.

0:32:31.440 --> 0:32:31.640
<v Speaker 4>Right.

0:32:32.000 --> 0:32:34.960
<v Speaker 12>If She's hand is weakened, that's going to be something

0:32:34.960 --> 0:32:37.840
<v Speaker 12>which is evident to people in the backroom deals in Beijing.

0:32:38.200 --> 0:32:41.120
<v Speaker 12>It's not going to be so evident to us here

0:32:41.160 --> 0:32:45.640
<v Speaker 12>in the United States. Still, that additional political stress is

0:32:45.680 --> 0:32:48.600
<v Speaker 12>an additional constraint on policy makers room for maneuver.

0:32:49.840 --> 0:32:53.960
<v Speaker 1>Thomas Sir, I know there's not an easy fix here,

0:32:54.000 --> 0:32:57.120
<v Speaker 1>But is there is there a solution that a lot

0:32:57.160 --> 0:33:00.680
<v Speaker 1>of economists like yourself see there is, or is this

0:33:00.800 --> 0:33:02.880
<v Speaker 1>just something that the Chinese ecindress can have to deal

0:33:02.880 --> 0:33:05.320
<v Speaker 1>with for a long time let a play out.

0:33:06.120 --> 0:33:11.480
<v Speaker 12>So there's a big structural problem here right. China has

0:33:11.600 --> 0:33:16.239
<v Speaker 12>massively overbuilt its real estate sector, and that means there

0:33:16.280 --> 0:33:18.960
<v Speaker 12>isn't an easy fix. There just has to be a

0:33:19.080 --> 0:33:23.800
<v Speaker 12>period where real estate construction, real estate prices come down

0:33:24.120 --> 0:33:28.000
<v Speaker 12>in order to realign supply and demand. There's no getting

0:33:28.000 --> 0:33:31.880
<v Speaker 12>away from that. Now, what does a kind of a

0:33:31.920 --> 0:33:36.120
<v Speaker 12>big fix, a kind of grand solution look like. Well, firstly,

0:33:36.400 --> 0:33:39.640
<v Speaker 12>it's a grand solution which doesn't make things better. It's

0:33:39.640 --> 0:33:43.360
<v Speaker 12>a grand solution which stops things tipping over into catastrophe.

0:33:44.360 --> 0:33:46.520
<v Speaker 12>What are the moving parts of it? Well, I think

0:33:46.600 --> 0:33:50.600
<v Speaker 12>it has to combine an element of reform, an element

0:33:50.640 --> 0:33:54.960
<v Speaker 12>of increased transparency, an element of increased market control. So

0:33:55.040 --> 0:33:58.280
<v Speaker 12>investors think that the underlying problems here aren't going to

0:33:58.320 --> 0:34:02.880
<v Speaker 12>repeat and an l of stimulus, more significant stimulus than

0:34:02.920 --> 0:34:04.640
<v Speaker 12>the government has so far been willing to put on

0:34:04.720 --> 0:34:05.120
<v Speaker 12>the table.

0:34:05.680 --> 0:34:08.480
<v Speaker 2>And that's we still expect that base case that China's

0:34:08.520 --> 0:34:11.840
<v Speaker 2>going to stimulate the economy, so they're.

0:34:11.719 --> 0:34:13.040
<v Speaker 12>Drip feeding the stimulus.

0:34:13.160 --> 0:34:13.359
<v Speaker 4>Right.

0:34:13.440 --> 0:34:16.680
<v Speaker 12>We've had a mini rate cut by the PBAC. We've

0:34:16.680 --> 0:34:20.480
<v Speaker 12>had the PBAC guiding banks to move mortgage rates lower.

0:34:20.840 --> 0:34:24.680
<v Speaker 12>We've had Lee Chang the premiere saying to China cities, Okay,

0:34:25.000 --> 0:34:28.359
<v Speaker 12>we want you to reignite the property sector. We want

0:34:28.360 --> 0:34:31.960
<v Speaker 12>you to stoke the healthy development of the property sector.

0:34:32.440 --> 0:34:33.279
<v Speaker 12>They need to do more.

0:34:33.400 --> 0:34:35.759
<v Speaker 1>All right, Tom, thank you very much for taking a

0:34:35.800 --> 0:34:39.600
<v Speaker 1>few minutes. Tom Orlick. He's a chief economist for Bloomberg Economics.

0:34:39.920 --> 0:34:44.520
<v Speaker 1>He's also author of the book Understanding China's Economic Indicators

0:34:44.560 --> 0:34:47.160
<v Speaker 1>and China The Bubble That Never Pops.

0:34:47.520 --> 0:34:50.640
<v Speaker 8>You're listening to the tape Cancher our live program, Bloomberg

0:34:50.680 --> 0:34:54.279
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:34:54.320 --> 0:34:56.279
<v Speaker 8>tune in app, Bloomberg dot Com, and.

0:34:56.239 --> 0:34:57.560
<v Speaker 4>The Bloomberg Business App.

0:34:57.600 --> 0:35:00.440
<v Speaker 8>You can also listen live on Amazon Alexi from our

0:35:00.480 --> 0:35:04.799
<v Speaker 8>flagship New York station. Just Say Alexa playing Bloomberg eleven.

0:35:06.600 --> 0:35:08.480
<v Speaker 1>Matt much to bring on a next quest and hopefully

0:35:08.480 --> 0:35:09.759
<v Speaker 1>we'll get the sunit back on that track.

0:35:09.800 --> 0:35:10.080
<v Speaker 4>All right.

0:35:10.120 --> 0:35:13.279
<v Speaker 2>So my old producer, Matt Siegel is here. For a

0:35:13.320 --> 0:35:15.480
<v Speaker 2>few ill fated years.

0:35:15.280 --> 0:35:17.000
<v Speaker 6>He worked at Bloomberg, but then he moved.

0:35:16.719 --> 0:35:23.640
<v Speaker 2>On and is now covering crypto, running crypto coverage for

0:35:23.760 --> 0:35:26.520
<v Speaker 2>Van Eck. And we're glad to have him here in

0:35:26.560 --> 0:35:31.640
<v Speaker 2>the studio to talk about all things bitcoin ETF. Really,

0:35:31.680 --> 0:35:37.840
<v Speaker 2>because on Friday, the twenty one shares and arc ETF

0:35:37.920 --> 0:35:41.200
<v Speaker 2>proposal was punted by the SEC. They were due to

0:35:41.239 --> 0:35:44.279
<v Speaker 2>decide I think by today was the deadline, and they

0:35:44.320 --> 0:35:49.440
<v Speaker 2>pushed that off. Now they've got even more bitcoin proposals

0:35:49.520 --> 0:35:52.319
<v Speaker 2>to decide on. One of them is black Rock. So

0:35:52.960 --> 0:35:57.840
<v Speaker 2>everybody is paying attention on the street, and Matt Siegel

0:35:57.960 --> 0:36:01.040
<v Speaker 2>is the man to ask what's going on at the SEC.

0:36:02.880 --> 0:36:05.000
<v Speaker 13>What's going on is there's it seems to be a

0:36:05.000 --> 0:36:09.720
<v Speaker 13>political objection to a bitcoin ETF, which is coming from

0:36:10.040 --> 0:36:12.759
<v Speaker 13>the very top. President Biden, if you recall January twenty

0:36:12.760 --> 0:36:16.279
<v Speaker 13>twenty two, put out an executive order instructing all agencies

0:36:16.440 --> 0:36:21.719
<v Speaker 13>to use kind of maximum levels of enforcement to bring

0:36:21.760 --> 0:36:25.880
<v Speaker 13>this market to heal, and the arguments against a bitcoin

0:36:26.160 --> 0:36:32.040
<v Speaker 13>ETF have become increasingly haphazard and incoherent, and now there

0:36:32.080 --> 0:36:34.879
<v Speaker 13>are there's a gray scale lawsuit against the SEC. We're

0:36:34.880 --> 0:36:39.000
<v Speaker 13>expecting a decision any day on that which could kind

0:36:39.000 --> 0:36:44.680
<v Speaker 13>of reveal the illogical the illogical nature of the SEC's objections.

0:36:44.800 --> 0:36:47.239
<v Speaker 13>So now it's a delay. No bitcoin ETF for now.

0:36:47.320 --> 0:36:49.120
<v Speaker 6>So what you know.

0:36:49.840 --> 0:36:54.560
<v Speaker 2>Proponents of the SEC will say the concerns are around

0:36:54.680 --> 0:36:58.319
<v Speaker 2>fraud and manipulation, and certainly there's no shortage of that

0:36:58.520 --> 0:37:01.080
<v Speaker 2>in the crypto world, not that there's any shortage of

0:37:01.120 --> 0:37:05.799
<v Speaker 2>that in the plain vanilla Wall Street world, but you've

0:37:05.840 --> 0:37:10.120
<v Speaker 2>seen some firms make moves to try and alleviate those concerns, right,

0:37:10.239 --> 0:37:13.640
<v Speaker 2>including with surveillance sharing agreements.

0:37:13.880 --> 0:37:15.399
<v Speaker 6>Is that not far enough?

0:37:15.600 --> 0:37:15.800
<v Speaker 7>Has it?

0:37:15.920 --> 0:37:15.960
<v Speaker 14>Not?

0:37:16.080 --> 0:37:16.319
<v Speaker 5>One far?

0:37:16.560 --> 0:37:19.000
<v Speaker 13>Let's start with the original objection, as you note, fraud

0:37:19.040 --> 0:37:22.480
<v Speaker 13>and manipulation and the underlying market. Well, there are plenty

0:37:22.520 --> 0:37:26.520
<v Speaker 13>of commodities like gold and silver and oil where the

0:37:26.719 --> 0:37:30.520
<v Speaker 13>underlying commodity trading is not regulated. But once you wrap

0:37:30.560 --> 0:37:34.640
<v Speaker 13>that commodity in a vehicle like an ETF, then that

0:37:34.880 --> 0:37:37.960
<v Speaker 13>vehicle needs to trade on a regulated exchange. So we

0:37:38.000 --> 0:37:42.080
<v Speaker 13>don't think SEC's being consistent in how they're applying that logic.

0:37:42.840 --> 0:37:48.680
<v Speaker 1>Why what's the basis from your understanding of this decision

0:37:48.680 --> 0:37:51.200
<v Speaker 1>coming now from the top from President Biden about crypto?

0:37:51.239 --> 0:37:54.239
<v Speaker 1>What's the what is their size's fundamental issue?

0:37:55.160 --> 0:37:57.720
<v Speaker 13>I think it's an issue of control right now, which

0:37:57.760 --> 0:38:01.400
<v Speaker 13>is playing out across the political spectrum on a range

0:38:01.400 --> 0:38:04.960
<v Speaker 13>of issues, not just crypto. But it plays into the

0:38:05.880 --> 0:38:09.759
<v Speaker 13>potential threat against the dollar as a reserve currency. You know,

0:38:09.760 --> 0:38:11.879
<v Speaker 13>the IMF had a blog just last month they say

0:38:11.880 --> 0:38:14.840
<v Speaker 13>that the way to protect against the substitution of sovereign

0:38:14.840 --> 0:38:18.360
<v Speaker 13>currencies is by having legitimate institutions, and frankly, there's just

0:38:18.400 --> 0:38:21.080
<v Speaker 13>an increasing number of people around the world who are

0:38:21.120 --> 0:38:23.640
<v Speaker 13>doubting the legitimacy of those institutions.

0:38:23.719 --> 0:38:26.560
<v Speaker 1>If Blackrock comes and says they want an ETF, aren't

0:38:26.560 --> 0:38:28.120
<v Speaker 1>they going to get an ETF it's Blackrock?

0:38:29.360 --> 0:38:33.080
<v Speaker 13>Well maybe eventually, but the final decision on the Blackrock

0:38:33.120 --> 0:38:36.600
<v Speaker 13>ETF isn't DOE until next March. And before then, there's

0:38:36.600 --> 0:38:38.440
<v Speaker 13>a lot of phone calls that are going around which

0:38:38.440 --> 0:38:40.960
<v Speaker 13>are not being done in a transparent manner, And you

0:38:41.080 --> 0:38:43.239
<v Speaker 13>have all these ETF issuers like Vanak and I think

0:38:43.239 --> 0:38:45.080
<v Speaker 13>we have some authority to speak on this matter because

0:38:45.080 --> 0:38:47.279
<v Speaker 13>we were the first TRADFY managers to first file for

0:38:47.280 --> 0:38:50.560
<v Speaker 13>a physically backed ETF in twenty seventeen, and we spent

0:38:50.600 --> 0:38:53.920
<v Speaker 13>the last six years trying to figure out what exactly

0:38:53.960 --> 0:38:56.480
<v Speaker 13>are the conditions that the regulator is looking for that

0:38:56.560 --> 0:38:59.239
<v Speaker 13>will allow for the approval of such a product. Those

0:38:59.239 --> 0:39:01.759
<v Speaker 13>conditions have not been laid out in any systematic way,

0:39:02.040 --> 0:39:04.200
<v Speaker 13>and we're going to see the result of this lawsuit

0:39:04.239 --> 0:39:06.800
<v Speaker 13>Gray Scale versus the SEC, which we think will reveal

0:39:07.080 --> 0:39:09.239
<v Speaker 13>that the SEC has been acting in an arbitrary and

0:39:09.280 --> 0:39:11.800
<v Speaker 13>capricious manner in denying Whether or not that leads to

0:39:11.840 --> 0:39:14.160
<v Speaker 13>an immediate approval, we'll have to see. But we have

0:39:14.239 --> 0:39:17.280
<v Speaker 13>until next March to get the answer to your question.

0:39:18.280 --> 0:39:20.920
<v Speaker 6>All right, So, I guess.

0:39:23.120 --> 0:39:27.279
<v Speaker 2>You're putting this at President Biden's on President Biden's desk,

0:39:27.360 --> 0:39:29.560
<v Speaker 2>But if we take it a level lower, right, Gary

0:39:29.560 --> 0:39:32.919
<v Speaker 2>Gensler seems to be the one that's holding things back,

0:39:32.920 --> 0:39:34.520
<v Speaker 2>at least from our perspective.

0:39:34.560 --> 0:39:35.040
<v Speaker 6>Is that wrong?

0:39:36.680 --> 0:39:39.600
<v Speaker 2>No, at the SEC because he has recently or the

0:39:39.640 --> 0:39:43.120
<v Speaker 2>SEC has recently I'm going to say, lost a case

0:39:43.360 --> 0:39:49.120
<v Speaker 2>in the Ripple trial. Although I think they might claim

0:39:49.120 --> 0:39:52.440
<v Speaker 2>that they partially won right because the judge declared Ripple

0:39:52.480 --> 0:39:55.840
<v Speaker 2>to be a security when it was marketed to a

0:39:55.880 --> 0:39:58.360
<v Speaker 2>bunch of institutions, but not a security when it was

0:39:58.400 --> 0:40:02.440
<v Speaker 2>sold to I guess retail investors on an exchange. Is

0:40:02.480 --> 0:40:06.920
<v Speaker 2>that maybe the first crack in the SEC's you know,

0:40:07.120 --> 0:40:08.320
<v Speaker 2>wall against crypto.

0:40:09.320 --> 0:40:11.040
<v Speaker 13>I think it very well could be. And there have

0:40:11.120 --> 0:40:14.000
<v Speaker 13>been multiple examples in the last two decades of SEC

0:40:14.080 --> 0:40:17.680
<v Speaker 13>chairs who have had to step down after an embarrassing loss,

0:40:17.840 --> 0:40:21.439
<v Speaker 13>like you know, Bloomberg's former board member Arthur Levitt comes

0:40:21.440 --> 0:40:25.600
<v Speaker 13>to mind. So there's also a great history of a

0:40:25.719 --> 0:40:28.240
<v Speaker 13>change in leadership at these agencies ahead of an election,

0:40:28.320 --> 0:40:30.480
<v Speaker 13>which we have next year as well. So my personal

0:40:30.520 --> 0:40:32.479
<v Speaker 13>call is that Gensler will be gone before the next

0:40:32.520 --> 0:40:35.919
<v Speaker 13>election and that will facilitate a change in policy here.

0:40:35.960 --> 0:40:38.680
<v Speaker 13>But there's a lot of steps between here and there.

0:40:39.040 --> 0:40:43.600
<v Speaker 1>Is there a physically traded ETF bitcoin ETF in Canada.

0:40:43.760 --> 0:40:47.680
<v Speaker 13>Yes, Canada, Europe, multiple jurisdictions on Canada.

0:40:47.719 --> 0:40:49.920
<v Speaker 1>What have we learned, what have we observed about the

0:40:49.920 --> 0:40:53.360
<v Speaker 1>pros and cons of that that maybe the SEC could

0:40:53.640 --> 0:40:54.080
<v Speaker 1>learn from.

0:40:54.120 --> 0:40:58.360
<v Speaker 13>Maybe there have been no comms because ETFs are a

0:40:58.880 --> 0:41:02.800
<v Speaker 13>time tested, well regulated, liquid and cost effective.

0:41:02.840 --> 0:41:05.720
<v Speaker 5>Whether they treated US whole security in Canada? Yes, okay?

0:41:06.120 --> 0:41:07.120
<v Speaker 5>And here the.

0:41:07.160 --> 0:41:09.440
<v Speaker 13>ETF is not the bitcoin underlying.

0:41:09.400 --> 0:41:12.759
<v Speaker 1>Okay, Right, So the ETF is not the bitcoin can

0:41:12.800 --> 0:41:15.080
<v Speaker 1>that structure and that's the structure that the SEC is

0:41:15.080 --> 0:41:15.960
<v Speaker 1>not comfortable with here?

0:41:16.600 --> 0:41:19.240
<v Speaker 13>Correct? They object to the well, they have a number

0:41:19.239 --> 0:41:21.160
<v Speaker 13>of objections and as I said, each one of them

0:41:21.160 --> 0:41:24.200
<v Speaker 13>has kind of been proven to be logically incoherent. But

0:41:24.560 --> 0:41:27.280
<v Speaker 13>we're stuck in this mandate, whether it's coming from the President,

0:41:27.280 --> 0:41:28.400
<v Speaker 13>whether it's coming from Genzler.

0:41:28.400 --> 0:41:31.640
<v Speaker 1>All right, So what does this all mean for innovation

0:41:31.840 --> 0:41:34.719
<v Speaker 1>in crypto in the US. My concern, if if I

0:41:34.840 --> 0:41:38.080
<v Speaker 1>were in senior political levels, it would be I want

0:41:38.120 --> 0:41:41.360
<v Speaker 1>to make sure that whatever this crypto thing evolves into,

0:41:42.400 --> 0:41:42.839
<v Speaker 1>I want the.

0:41:42.840 --> 0:41:43.680
<v Speaker 6>US to be a leader.

0:41:44.360 --> 0:41:47.200
<v Speaker 1>And now I feel like, just knowing what I know,

0:41:47.239 --> 0:41:50.520
<v Speaker 1>that perhaps we're not going to take a leadership position

0:41:50.520 --> 0:41:54.400
<v Speaker 1>because we don't have a well defined regulatory framework. Whether

0:41:54.440 --> 0:41:56.000
<v Speaker 1>you like it or not, it doesn't seem like we

0:41:56.040 --> 0:41:58.520
<v Speaker 1>have a one. Is there a risk that the US

0:41:59.000 --> 0:42:01.320
<v Speaker 1>maybe is not a leader in this business?

0:42:01.640 --> 0:42:05.600
<v Speaker 13>That's definitely the path of direction. So we can track

0:42:05.680 --> 0:42:07.879
<v Speaker 13>the number of developers who are working on these open

0:42:07.880 --> 0:42:10.000
<v Speaker 13>source blockchains, and we can track them by country, and

0:42:10.000 --> 0:42:11.840
<v Speaker 13>what we can see is that the US is losing

0:42:11.920 --> 0:42:15.160
<v Speaker 13>market share of crypto developers, so the innovators are looking

0:42:15.160 --> 0:42:17.200
<v Speaker 13>to work elsewhere. The other thing that we can see

0:42:17.239 --> 0:42:20.240
<v Speaker 13>is that stable coins like USDC, which is the coinbas

0:42:20.280 --> 0:42:23.160
<v Speaker 13>Circle JV, are losing market share to Tether, which is

0:42:23.239 --> 0:42:27.440
<v Speaker 13>an offshore, less regulated model on the same on the

0:42:27.480 --> 0:42:28.120
<v Speaker 13>same Now.

0:42:28.040 --> 0:42:31.439
<v Speaker 1>I feel like asking a political question, should Americans care?

0:42:31.520 --> 0:42:37.719
<v Speaker 13>And if so, why Americans should care? Because every currency

0:42:38.920 --> 0:42:43.240
<v Speaker 13>has there's been no currency that has been the global

0:42:43.280 --> 0:42:46.800
<v Speaker 13>store of value for multiple centuries, and at some point

0:42:47.040 --> 0:42:49.560
<v Speaker 13>the world is looking for an alternative. And here you

0:42:49.640 --> 0:42:54.920
<v Speaker 13>have a decentralized money where the creation schedule is transparent,

0:42:55.239 --> 0:42:58.120
<v Speaker 13>and that's very different from what's happening with the Federal Reserve.

0:42:58.160 --> 0:43:01.000
<v Speaker 13>So what's going on in our concern?

0:43:01.120 --> 0:43:03.160
<v Speaker 5>I don't want a dollar to be at risk if

0:43:03.200 --> 0:43:04.360
<v Speaker 5>I'm President Biden or anything.

0:43:04.480 --> 0:43:06.640
<v Speaker 2>I think what Matt's saying is that the dollars at risk.

0:43:06.800 --> 0:43:09.239
<v Speaker 2>So even though you don't like it, we need to

0:43:09.360 --> 0:43:13.160
<v Speaker 2>prepare for the reality that that turns around. We're still

0:43:13.160 --> 0:43:15.880
<v Speaker 2>a long way off from that, right I want to

0:43:16.040 --> 0:43:20.520
<v Speaker 2>wanted to ask you about other tokens because other than Bitcoin,

0:43:20.880 --> 0:43:24.799
<v Speaker 2>you know, people may know Ether, but beyond that they

0:43:24.840 --> 0:43:28.440
<v Speaker 2>don't really I mean dogecoin, right, what else is serious?

0:43:28.480 --> 0:43:30.439
<v Speaker 2>And you think really important in crypto that we should

0:43:30.480 --> 0:43:31.279
<v Speaker 2>be paying attention to.

0:43:32.000 --> 0:43:36.520
<v Speaker 13>Yeah, So, there are a number of smart contract protocols.

0:43:36.560 --> 0:43:41.399
<v Speaker 13>These are blockchain software that enable more complex transactions than

0:43:41.440 --> 0:43:44.280
<v Speaker 13>Bitcoin can enable. So with Bitcoin, it's just very difficult

0:43:44.280 --> 0:43:47.400
<v Speaker 13>to program in a bunch of if then conditions and

0:43:47.440 --> 0:43:52.000
<v Speaker 13>make your bitcoin move around programmatically. With ethereum, because of

0:43:52.040 --> 0:43:55.520
<v Speaker 13>the architecture of the blockchain, that is possible. And there

0:43:55.600 --> 0:43:59.320
<v Speaker 13>are you know, a handful of similar layer one smart

0:43:59.320 --> 0:44:03.080
<v Speaker 13>contract platforms to Ethereum. We're thinking of like a Solana,

0:44:03.719 --> 0:44:10.080
<v Speaker 13>which make different trade offs on decentralization and speed. The

0:44:10.120 --> 0:44:12.640
<v Speaker 13>history of these digital platforms is that they tend to

0:44:12.680 --> 0:44:16.280
<v Speaker 13>be winner take all businesses. We're seeing that in Web two, Amazon, Google,

0:44:16.280 --> 0:44:18.600
<v Speaker 13>et cetera. So one of the big challenges for digital

0:44:18.640 --> 0:44:22.160
<v Speaker 13>investors right now is balancing those winner take all characteristics

0:44:22.160 --> 0:44:25.960
<v Speaker 13>of these digital platforms with the extreme price disparity year

0:44:25.960 --> 0:44:28.520
<v Speaker 13>to date, because year to date Bitcoin and Ether are outperforming.

0:44:28.760 --> 0:44:30.440
<v Speaker 13>Part of the reason why they're out performing because the

0:44:30.440 --> 0:44:33.799
<v Speaker 13>regulator is coming down on all these other innovative platforms.

0:44:34.000 --> 0:44:37.480
<v Speaker 13>The more that the regulator cracks down, the greater these winner.

0:44:37.200 --> 0:44:39.440
<v Speaker 6>Take all characteristics will be, the faster they will be.

0:44:39.560 --> 0:44:41.839
<v Speaker 13>In a way, it's government picking winners. We don't want that.

0:44:41.880 --> 0:44:43.520
<v Speaker 13>We want innovation to win out.

0:44:44.400 --> 0:44:46.279
<v Speaker 1>Sounds reasonable to me. Matt Siegel, thanks so much for

0:44:46.360 --> 0:44:48.120
<v Speaker 1>joining us here. A Matt Siegel, He's head of digital

0:44:48.120 --> 0:44:51.880
<v Speaker 1>asset research for at van Neck. He's joins us live

0:44:51.880 --> 0:44:54.759
<v Speaker 1>here in a Bloomberg Interactor broker's studio. Just looking at

0:44:55.280 --> 0:44:58.239
<v Speaker 1>bitcoin because it's on my monitor for whatever reason. It's

0:44:58.280 --> 0:45:00.280
<v Speaker 1>up six tens of one percent here twenty ninth, thousand

0:45:00.280 --> 0:45:02.280
<v Speaker 1>and five eighty one for bitcoin.

0:45:02.520 --> 0:45:05.640
<v Speaker 8>You're listening to the tape Cat's are Live program Bloomberg

0:45:05.680 --> 0:45:09.279
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:45:09.360 --> 0:45:11.359
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0:45:11.280 --> 0:45:12.560
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0:45:12.600 --> 0:45:15.440
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0:45:15.440 --> 0:45:20.480
<v Speaker 8>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:45:21.040 --> 0:45:25.120
<v Speaker 1>Joining us here in our Bloomberg Interactive workers studio. Matthew Palosola.

0:45:25.160 --> 0:45:27.920
<v Speaker 1>He's a senior insurance analyst with Bloomberg Intelligence.

0:45:28.080 --> 0:45:29.960
<v Speaker 2>But whenever I see this guy, I know that a

0:45:30.040 --> 0:45:31.360
<v Speaker 2>disaster has happened.

0:45:32.080 --> 0:45:34.719
<v Speaker 1>Is exactly ifa things have happened. So we call on

0:45:34.960 --> 0:45:38.800
<v Speaker 1>Matthew Palazola. So, Matthew, we seen the destruction in Bermuda,

0:45:38.840 --> 0:45:41.520
<v Speaker 1>the loss of life. It's just horrific as some of

0:45:41.560 --> 0:45:46.040
<v Speaker 1>the images that we saw. From the insurance perspective, What

0:45:46.080 --> 0:45:49.400
<v Speaker 1>are you hearing from the companies as to perhaps exposure

0:45:49.440 --> 0:45:50.440
<v Speaker 1>and all that type of thing.

0:45:50.440 --> 0:45:53.799
<v Speaker 15>Right, So, nothing from the company specifically. We're looking at

0:45:54.520 --> 0:45:59.200
<v Speaker 15>industry data data from the ground. In these cases, you'll

0:45:59.200 --> 0:46:02.279
<v Speaker 15>hear about economic losses first, So we're hearing numbers like

0:46:02.480 --> 0:46:04.719
<v Speaker 15>five six it can I just saw one for eight

0:46:04.760 --> 0:46:06.760
<v Speaker 15>billion dollars economic damages?

0:46:07.120 --> 0:46:08.120
<v Speaker 5>What's that actually?

0:46:08.400 --> 0:46:09.080
<v Speaker 4>So that could be.

0:46:09.239 --> 0:46:14.719
<v Speaker 15>Lost wages that it encompasses insured values, but insured values

0:46:14.719 --> 0:46:16.680
<v Speaker 15>would be much less, so they could be even half

0:46:16.719 --> 0:46:19.000
<v Speaker 15>of that. So the work that I'm doing now is

0:46:19.120 --> 0:46:23.040
<v Speaker 15>kind of coming around low single digit billions for the

0:46:23.080 --> 0:46:25.920
<v Speaker 15>insurance companies, which is a pretty manageable.

0:46:25.560 --> 0:46:26.000
<v Speaker 4>Number, right.

0:46:26.840 --> 0:46:31.080
<v Speaker 2>So but the thing is, these payouts are probably going

0:46:31.120 --> 0:46:33.200
<v Speaker 2>to get bigger and bigger every year, right, not just

0:46:33.440 --> 0:46:37.160
<v Speaker 2>what's happening in Hawaii. Not just you know what the

0:46:37.200 --> 0:46:41.359
<v Speaker 2>Anino's brought, but every year did natural disaster payouts climb

0:46:41.440 --> 0:46:42.160
<v Speaker 2>higher and higher.

0:46:42.480 --> 0:46:43.680
<v Speaker 4>That has been happening, right.

0:46:43.760 --> 0:46:46.560
<v Speaker 15>So it was thought of years ago that one hundred

0:46:46.600 --> 0:46:49.479
<v Speaker 15>billion dollars and insured losses was something we'd never see,

0:46:49.560 --> 0:46:53.400
<v Speaker 15>and now we've seen it for several years. So this

0:46:53.400 --> 0:46:57.200
<v Speaker 15>this year so far is running above average catastrophe losses.

0:46:58.239 --> 0:47:01.080
<v Speaker 15>It's climate change is kind of the big boogeyman in

0:47:01.120 --> 0:47:03.799
<v Speaker 15>the whole thing. No one's saying it's not happening, but

0:47:04.160 --> 0:47:06.160
<v Speaker 15>the insurance companies will tell you that a lot of

0:47:06.200 --> 0:47:11.319
<v Speaker 15>this is driven by density of population building in catastrophe

0:47:11.360 --> 0:47:14.600
<v Speaker 15>prone areas. It's kind of moral hazard where we keep building,

0:47:14.680 --> 0:47:17.280
<v Speaker 15>we keep rebuilding, and you know it did. The cycle

0:47:17.320 --> 0:47:19.840
<v Speaker 15>goes on and on. So it's not all climate change.

0:47:19.960 --> 0:47:21.719
<v Speaker 15>I wrote down the stat I did want to tell

0:47:21.760 --> 0:47:25.480
<v Speaker 15>you though. This is according to a catastree modeling company.

0:47:25.680 --> 0:47:31.840
<v Speaker 15>They said, over the past century Hawaii, the average burning

0:47:31.880 --> 0:47:35.160
<v Speaker 15>there has increased four hundred percent due to man made factors.

0:47:35.239 --> 0:47:38.880
<v Speaker 15>So obviously something's happening there's I also thought this was interesting.

0:47:38.920 --> 0:47:44.120
<v Speaker 15>There's a non native grass species that was introduced to Hawaii,

0:47:44.239 --> 0:47:46.799
<v Speaker 15>which actually is feeding a lot of this because it's

0:47:47.520 --> 0:47:48.120
<v Speaker 15>fire prone.

0:47:48.440 --> 0:47:51.399
<v Speaker 1>Right, So, I mean there's all kinds of drivers here

0:47:51.560 --> 0:47:53.799
<v Speaker 1>go into that issue of the kind of the moral hazard.

0:47:54.160 --> 0:47:58.320
<v Speaker 1>I mean, a hurricane comes along, hits take your place, Florida,

0:47:58.440 --> 0:48:02.000
<v Speaker 1>North Carolina said, you know where reverer it hits wipes.

0:48:01.640 --> 0:48:06.040
<v Speaker 2>Out a part of the coast, The insurance guys pay

0:48:06.120 --> 0:48:07.919
<v Speaker 2>up and people build houses right back there.

0:48:07.920 --> 0:48:09.319
<v Speaker 1>Again, I forget about that. I'll take that to my

0:48:09.840 --> 0:48:12.759
<v Speaker 1>Jersey Shore super sore Sandy. You get down a man

0:48:12.920 --> 0:48:14.640
<v Speaker 1>looking which have some of the nicest homes on a

0:48:14.719 --> 0:48:18.920
<v Speaker 1>Jersey Shore, they have rebuilt monster homes. And then the

0:48:18.960 --> 0:48:23.080
<v Speaker 1>next lot, for whatever reason, completely blank, nothing's been rebuilt.

0:48:23.120 --> 0:48:25.040
<v Speaker 1>So I don't know if there's a money's held up

0:48:25.040 --> 0:48:25.200
<v Speaker 1>with the.

0:48:25.200 --> 0:48:28.600
<v Speaker 5>Family or whatever. But is that person who rebuilt the

0:48:28.760 --> 0:48:32.440
<v Speaker 5>monster house again, is he or she getting insured?

0:48:34.080 --> 0:48:37.279
<v Speaker 15>Look, depending on the monstrosity of the house, may you

0:48:37.520 --> 0:48:38.640
<v Speaker 15>might not be insured.

0:48:38.680 --> 0:48:40.920
<v Speaker 2>And yeah, my experience with Chubb is after you take

0:48:40.960 --> 0:48:42.279
<v Speaker 2>a big hit, they don't come back.

0:48:42.480 --> 0:48:42.680
<v Speaker 4>Yeah.

0:48:42.719 --> 0:48:44.640
<v Speaker 15>So I mean, if you have enough money where you

0:48:44.680 --> 0:48:46.560
<v Speaker 15>built that house on your own, you don't have a mortgage,

0:48:46.560 --> 0:48:48.640
<v Speaker 15>you don't have anything. I guess theoretically you could not

0:48:48.680 --> 0:48:51.600
<v Speaker 15>have insurance. What's happening though in these states is a

0:48:51.640 --> 0:48:54.680
<v Speaker 15>lot of it's falling on the state. So when you

0:48:54.719 --> 0:48:58.439
<v Speaker 15>can't get insurance in Florida, in California, there's a state

0:48:58.520 --> 0:49:01.120
<v Speaker 15>fund that you get insurance from. So ultimately it comes

0:49:01.160 --> 0:49:04.040
<v Speaker 15>back to the taxpayer. So it's not the insurance companies

0:49:04.800 --> 0:49:05.520
<v Speaker 15>have wised up.

0:49:05.560 --> 0:49:06.879
<v Speaker 4>They don't just keep paying out.

0:49:06.960 --> 0:49:09.520
<v Speaker 15>They will step back and drop these people. But what

0:49:09.600 --> 0:49:12.799
<v Speaker 15>happens is or charge higher rates. They'll definitely charge higher rates,

0:49:12.800 --> 0:49:14.799
<v Speaker 15>so they'll they'll charge you such a high rate that

0:49:14.880 --> 0:49:16.440
<v Speaker 15>you'll go to the state fund.

0:49:17.040 --> 0:49:18.440
<v Speaker 6>Does the state fund lose money?

0:49:19.320 --> 0:49:20.160
<v Speaker 4>Hand over fists?

0:49:20.880 --> 0:49:21.400
<v Speaker 6>I see?

0:49:21.600 --> 0:49:24.719
<v Speaker 1>And funds that we do you okay, okay, yeah, you

0:49:24.800 --> 0:49:28.600
<v Speaker 1>gut did. And but that's again at some point. Again,

0:49:28.680 --> 0:49:30.640
<v Speaker 1>my good friends at the Jersey Shore, I'm just picking

0:49:30.680 --> 0:49:33.120
<v Speaker 1>on them because that that that's where I crip these days.

0:49:33.680 --> 0:49:37.800
<v Speaker 5>I mean, I don't feel like they should be insured.

0:49:37.920 --> 0:49:40.320
<v Speaker 1>I mean, if it's given what's happened, But I guess

0:49:40.960 --> 0:49:42.640
<v Speaker 1>it's up to the companies and if maybe they can

0:49:42.840 --> 0:49:44.040
<v Speaker 1>decline to have insurance.

0:49:44.080 --> 0:49:46.040
<v Speaker 2>Right And this question may be beyond the scope of

0:49:46.040 --> 0:49:47.480
<v Speaker 2>Matthew Powis no, no.

0:49:47.320 --> 0:49:49.920
<v Speaker 15>No, I don't know if we can get the situation

0:49:50.040 --> 0:49:54.479
<v Speaker 15>in here from Jersey. But no, I mean, like I said,

0:49:54.520 --> 0:49:56.319
<v Speaker 15>you if you have a mortgage on your property, you

0:49:56.360 --> 0:49:57.719
<v Speaker 15>need you have to have insurance.

0:49:57.800 --> 0:49:59.600
<v Speaker 5>Yes, and that's it right.

0:50:00.000 --> 0:50:03.320
<v Speaker 15>The state is not going to let people be completely

0:50:03.360 --> 0:50:05.560
<v Speaker 15>unhappy and not have insurance and it'd be too expensive.

0:50:05.600 --> 0:50:07.439
<v Speaker 15>So that's where this kind of comes in, and people

0:50:07.480 --> 0:50:09.759
<v Speaker 15>don't realize that the taxpayers are ending up funding that.

0:50:09.880 --> 0:50:11.719
<v Speaker 2>It's also it's not the Jersey shore that takes the

0:50:11.719 --> 0:50:13.720
<v Speaker 2>big losses, right, it's Florida's Florida.

0:50:13.800 --> 0:50:17.240
<v Speaker 15>Yeah, it's Florida, and it's California. It's Texas to some degree.

0:50:17.280 --> 0:50:20.120
<v Speaker 15>I mean, we had Sandy that was kind of an

0:50:20.120 --> 0:50:22.919
<v Speaker 15>odd off event, but I mean we also had last

0:50:23.040 --> 0:50:24.520
<v Speaker 15>was I don't remember if it was last year where

0:50:24.520 --> 0:50:27.440
<v Speaker 15>we had these significant rain events repeatedly and it was

0:50:27.520 --> 0:50:29.920
<v Speaker 15>the most rain ever. And then the next week it

0:50:29.920 --> 0:50:31.920
<v Speaker 15>was the most rain ever again in you know, the

0:50:31.960 --> 0:50:32.680
<v Speaker 15>tri state area.

0:50:32.719 --> 0:50:33.600
<v Speaker 7>So it is happening, all right.

0:50:33.640 --> 0:50:38.520
<v Speaker 1>So we're August fourteenth here, what's the hurricane call this year?

0:50:38.640 --> 0:50:41.520
<v Speaker 1>I mean, so far, I don't recall nothing big as

0:50:41.600 --> 0:50:42.399
<v Speaker 1>hit here has it?

0:50:42.440 --> 0:50:42.960
<v Speaker 4>So it hasn't been.

0:50:43.000 --> 0:50:46.719
<v Speaker 15>It started off quick and hot, right, and I was

0:50:46.960 --> 0:50:49.240
<v Speaker 15>pretty worried that it was going to be above average season.

0:50:50.040 --> 0:50:54.040
<v Speaker 15>So you've got to countervailing forces. You've got the Onino

0:50:54.040 --> 0:50:57.680
<v Speaker 15>effect which you brought up before, that actually suppresses hurricane

0:50:57.760 --> 0:50:59.200
<v Speaker 15>activity in the Atlantic.

0:50:59.560 --> 0:51:01.400
<v Speaker 5>That just and it's blowing somewhere.

0:51:01.440 --> 0:51:02.440
<v Speaker 6>It's a hot current, right.

0:51:02.960 --> 0:51:06.040
<v Speaker 15>Essentially, I'm just an amateur meteor I'll just so you know,

0:51:06.080 --> 0:51:07.719
<v Speaker 15>I'll have to take a step back and say, yes,

0:51:07.760 --> 0:51:12.120
<v Speaker 15>it's basically just winds moving right that usually suppresses hurricane

0:51:12.120 --> 0:51:15.360
<v Speaker 15>activity here. But then you have these record sea surface

0:51:15.440 --> 0:51:19.720
<v Speaker 15>temperatures which feed hurricane activity. So this has netted itself

0:51:19.760 --> 0:51:23.600
<v Speaker 15>out to be from the forecasts. Forecast is to be

0:51:23.680 --> 0:51:26.960
<v Speaker 15>in above average season, but we haven't seen that much yet.

0:51:27.120 --> 0:51:29.680
<v Speaker 15>The peak is about mid September.

0:51:30.560 --> 0:51:33.040
<v Speaker 2>By the way, hell Nino is it is a warm

0:51:33.120 --> 0:51:36.000
<v Speaker 2>current of water, ocean water that develops in the central

0:51:36.000 --> 0:51:38.520
<v Speaker 2>and east central Equatorial Pacific.

0:51:38.600 --> 0:51:41.560
<v Speaker 15>And do you know the opposite La Nina.

0:51:41.680 --> 0:51:44.440
<v Speaker 2>La Nina, the girl sorr Helinos, the boys.

0:51:44.680 --> 0:51:47.080
<v Speaker 15>We've been in La Nina for a while, which is

0:51:47.120 --> 0:51:49.239
<v Speaker 15>actually fed hurricane activity.

0:51:48.880 --> 0:51:49.160
<v Speaker 4>All right.

0:51:49.200 --> 0:51:51.920
<v Speaker 1>The S and P five hundred property and casually insurance

0:51:52.080 --> 0:51:54.759
<v Speaker 1>sub index down five percent this year.

0:51:55.280 --> 0:51:59.439
<v Speaker 15>Yes, so insurance is gonna be suffered from. I think

0:51:59.440 --> 0:52:01.920
<v Speaker 15>that the risk on environment in the beginning of the year,

0:52:02.000 --> 0:52:05.160
<v Speaker 15>the defensive stocks they can sell off with that rotation.

0:52:06.880 --> 0:52:10.200
<v Speaker 15>I think unfairly they suffered with the bank turmoil, they

0:52:10.200 --> 0:52:13.960
<v Speaker 15>weren't really exposed. Another concern is commercial real.

0:52:13.800 --> 0:52:15.560
<v Speaker 2>Li I mean, the concern there is that they hold

0:52:15.600 --> 0:52:19.920
<v Speaker 2>a lot of long term for example, treasuries, you know,

0:52:19.960 --> 0:52:21.719
<v Speaker 2>and maybe they haven't marked to market either.

0:52:21.920 --> 0:52:23.920
<v Speaker 15>So they did that last year. That was a big impact,

0:52:23.960 --> 0:52:26.440
<v Speaker 15>so they still do. It's it's kind of reversing this year.

0:52:26.480 --> 0:52:28.239
<v Speaker 15>They have They hold a lot of commercial real estate,

0:52:29.080 --> 0:52:31.120
<v Speaker 15>more specifically maybe the life insurance companies.

0:52:31.680 --> 0:52:32.880
<v Speaker 4>We did analysis on that.

0:52:32.920 --> 0:52:35.319
<v Speaker 15>It seemed to be very magicable exposure for them in

0:52:35.360 --> 0:52:38.200
<v Speaker 15>a bad case. It hasn't really reared its head, but

0:52:38.200 --> 0:52:40.000
<v Speaker 15>I think those things were dragging them down.

0:52:40.040 --> 0:52:43.200
<v Speaker 2>And otherwise, how are they doing making returns because that's

0:52:43.239 --> 0:52:45.719
<v Speaker 2>the idea, right we all put in our premiums and

0:52:45.719 --> 0:52:47.759
<v Speaker 2>then they take that money and they go invest it

0:52:47.800 --> 0:52:49.759
<v Speaker 2>and hopefully they make more than they lose on these

0:52:49.800 --> 0:52:51.360
<v Speaker 2>natural disasters exactly.

0:52:51.440 --> 0:52:53.839
<v Speaker 4>So fundamentals are good.

0:52:53.920 --> 0:52:56.719
<v Speaker 15>They've been you know, earning that we're at it could

0:52:56.760 --> 0:52:59.120
<v Speaker 15>be peak roes for this pricing cycle, could be this

0:52:59.239 --> 0:53:03.880
<v Speaker 15>year or next year. Typically valuations peak before the rois,

0:53:04.040 --> 0:53:06.600
<v Speaker 15>So if it's this year, then maybe they peaked already,

0:53:06.640 --> 0:53:07.680
<v Speaker 15>but it could be next year.

0:53:07.719 --> 0:53:08.960
<v Speaker 6>Are there any hot you know?

0:53:09.120 --> 0:53:11.719
<v Speaker 2>We're the best managed insurance companies that you cover.

0:53:13.640 --> 0:53:16.680
<v Speaker 15>I love Chubb, right, It's it's the biggest and it's

0:53:16.719 --> 0:53:21.000
<v Speaker 15>still growing a lot. Evan Greenberg's CEO, I mean, of

0:53:21.040 --> 0:53:23.960
<v Speaker 15>this giant company, and he kind of knows all the

0:53:24.000 --> 0:53:25.120
<v Speaker 15>ins and out details.

0:53:26.000 --> 0:53:29.080
<v Speaker 4>You know. They they have the best.

0:53:28.840 --> 0:53:32.719
<v Speaker 15>Commercial underwriting of their peer group and they're the biggest ones.

0:53:32.760 --> 0:53:36.560
<v Speaker 15>So I mean, I love Chubb's management and strategy.

0:53:36.719 --> 0:53:38.440
<v Speaker 6>It will take me. It will take me as a client.

0:53:38.480 --> 0:53:40.279
<v Speaker 5>They wouldn't take you, of course they did once.

0:53:40.400 --> 0:53:42.920
<v Speaker 2>But I guess too many losses, too many claims.

0:53:43.080 --> 0:53:47.319
<v Speaker 1>You have like motorcycle, there's no way may have been

0:53:47.320 --> 0:53:47.759
<v Speaker 1>a part of that.

0:53:48.239 --> 0:53:50.799
<v Speaker 15>Do you have your Picasso in the basement when flood.

0:53:50.640 --> 0:53:54.040
<v Speaker 2>No, I didn't have any really big problems, just I

0:53:54.080 --> 0:53:56.920
<v Speaker 2>think there was a small issue with a Portia nine

0:53:56.920 --> 0:53:59.360
<v Speaker 2>to eleven and and the motorcycle accsent.

0:53:59.280 --> 0:54:01.560
<v Speaker 1>Motorcycle acts and in the jump out of planes and

0:54:01.560 --> 0:54:04.080
<v Speaker 1>all that kind of stuff. What's the area of insurance

0:54:04.120 --> 0:54:06.319
<v Speaker 1>that you just are staying away from it right right

0:54:06.360 --> 0:54:06.839
<v Speaker 1>now in your.

0:54:06.760 --> 0:54:12.160
<v Speaker 15>Space, staying away from so you know what's interesting. Cyber insurance,

0:54:12.239 --> 0:54:16.160
<v Speaker 15>right Cyber insurance is a big growing line of business.

0:54:16.480 --> 0:54:20.319
<v Speaker 15>A lot of companies are getting into it. They've been

0:54:20.480 --> 0:54:25.080
<v Speaker 15>very cautious on it. But you don't know what you're underwriting.

0:54:25.080 --> 0:54:27.960
<v Speaker 15>And I think the world is not getting anymore any

0:54:28.000 --> 0:54:30.960
<v Speaker 15>It's not gonna getting less risky, right, and it's getting

0:54:31.000 --> 0:54:31.439
<v Speaker 15>more risky.

0:54:31.480 --> 0:54:33.680
<v Speaker 4>And these are things that companies don't know about.

0:54:33.719 --> 0:54:35.919
<v Speaker 15>So be a little wary of someone who's talking about

0:54:35.960 --> 0:54:38.319
<v Speaker 15>growing a lot in cyber insurance right now, all.

0:54:38.280 --> 0:54:40.640
<v Speaker 1>Right, Matt, good to have you in our Bloomberg Interactive

0:54:40.640 --> 0:54:43.400
<v Speaker 1>Broker studio. Matthew Palosola. He's a senior al is covering

0:54:43.440 --> 0:54:47.960
<v Speaker 1>all the property and casualty insurance for Bloomberg Intelligence.

0:54:48.239 --> 0:54:51.360
<v Speaker 8>You're listening to the tape cans Are Live program Bloomberg

0:54:51.400 --> 0:54:55.000
<v Speaker 8>Markets weekdays at ten am Eastern on Bloomberg Radio, the

0:54:55.080 --> 0:54:57.000
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0:54:57.000 --> 0:54:58.279
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0:54:58.320 --> 0:55:01.160
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0:55:01.160 --> 0:55:05.879
<v Speaker 8>flagship New York station. Just say Alexa play Bloomberg eleven thirty.

0:55:07.440 --> 0:55:08.160
<v Speaker 5>Javia Giant.

0:55:08.239 --> 0:55:11.239
<v Speaker 1>He is the founder and CEO of Techian and he

0:55:11.320 --> 0:55:15.480
<v Speaker 1>was the former chief information officer at Tesla. So let's

0:55:15.520 --> 0:55:17.879
<v Speaker 1>talk a little bit what's happening in the EV space. Jay,

0:55:17.880 --> 0:55:20.400
<v Speaker 1>Thanks so much for joining us here. First, let's just

0:55:20.400 --> 0:55:22.120
<v Speaker 1>start off real quick. Tell us what you guys are

0:55:22.120 --> 0:55:23.280
<v Speaker 1>doing at Techian.

0:55:24.800 --> 0:55:28.560
<v Speaker 14>Hi, Paul, Thanks thanks for having me here. You're looking

0:55:28.600 --> 0:55:32.719
<v Speaker 14>forward to to our conversation. Yeah, at Techian, as you know,

0:55:33.000 --> 0:55:36.960
<v Speaker 14>the automotive industry is going through some major fans everything

0:55:37.040 --> 0:55:42.360
<v Speaker 14>from EV to autonomous vehicles, from selling models.

0:55:43.520 --> 0:55:44.880
<v Speaker 7>Tekan is right in the center.

0:55:44.960 --> 0:55:49.120
<v Speaker 14>So we've created a platform to bring together the major

0:55:49.200 --> 0:55:57.080
<v Speaker 14>stakeholders in one seamless and technology platform. Manufacturers, the retailers,

0:55:58.080 --> 0:56:01.800
<v Speaker 14>the ecosystem players being soft where are be functional industry

0:56:01.840 --> 0:56:04.640
<v Speaker 14>players like insurance providers, lenders and others.

0:56:05.080 --> 0:56:07.520
<v Speaker 7>And then of course the beneficiary is the consumer.

0:56:07.600 --> 0:56:10.880
<v Speaker 14>So the end of the day, the consumer really needs

0:56:10.920 --> 0:56:13.799
<v Speaker 14>to get what they're looking for in terms of their

0:56:13.800 --> 0:56:18.440
<v Speaker 14>automotive buying experience. We are delivering that through the technology

0:56:18.640 --> 0:56:23.719
<v Speaker 14>as an operating platform for retailers, manufacturers, and then the

0:56:23.760 --> 0:56:27.160
<v Speaker 14>participants are the industry software ecosystem players.

0:56:27.719 --> 0:56:30.040
<v Speaker 1>So it gives a sense Jay, I mean if I'm

0:56:30.040 --> 0:56:32.920
<v Speaker 1>a I mean, Tesla has obviously a different distribution model,

0:56:33.120 --> 0:56:36.680
<v Speaker 1>does not rely on dealerships, kind of goes direct to consumer.

0:56:37.440 --> 0:56:38.480
<v Speaker 5>How do you think.

0:56:38.480 --> 0:56:43.480
<v Speaker 1>The the original OEMs, the Fords, the Gms of the world,

0:56:43.520 --> 0:56:45.640
<v Speaker 1>the Volkswagens of the world, how do you think or

0:56:45.640 --> 0:56:48.040
<v Speaker 1>how do you think they should make this evolution to

0:56:48.360 --> 0:56:49.960
<v Speaker 1>selling these electric vehicles?

0:56:51.120 --> 0:56:54.120
<v Speaker 14>Great question, you know it's a I don't know if

0:56:54.239 --> 0:56:56.160
<v Speaker 14>I should say it's a trillion dollar question, right. So

0:56:56.480 --> 0:57:00.200
<v Speaker 14>the way we see it, we are deep into the industry.

0:57:00.600 --> 0:57:04.520
<v Speaker 14>Techon works with you know, many of the retailers. In fact,

0:57:04.560 --> 0:57:08.480
<v Speaker 14>the world's largest automountive retailer runs on Techion, and we

0:57:08.520 --> 0:57:12.279
<v Speaker 14>work with multiple manufacturers as well. So the bottom line is,

0:57:12.320 --> 0:57:15.480
<v Speaker 14>as you know, trends go through different phases, and they

0:57:15.520 --> 0:57:18.240
<v Speaker 14>go through a big hype face where everything is like, oh,

0:57:18.320 --> 0:57:21.440
<v Speaker 14>for example, I can give you a simple example. Before COVID,

0:57:22.040 --> 0:57:25.080
<v Speaker 14>everyone said the car ownership is going away, and after

0:57:25.720 --> 0:57:27.479
<v Speaker 14>COVID we all realize it hasn't gone away.

0:57:27.480 --> 0:57:30.160
<v Speaker 7>People are still buying cars now.

0:57:30.440 --> 0:57:33.480
<v Speaker 14>The other trend is people are thinking about everything will

0:57:33.520 --> 0:57:39.080
<v Speaker 14>go online, people will buy cars online. I don't ever

0:57:39.160 --> 0:57:42.080
<v Speaker 14>see that happening for the same reason why you know

0:57:42.160 --> 0:57:45.400
<v Speaker 14>Tesla is still opening retail stores. Apple is still opening

0:57:45.440 --> 0:57:49.520
<v Speaker 14>retail stores. What consumers are looking for again, putting myself

0:57:49.600 --> 0:57:52.200
<v Speaker 14>in consumer shoes, the way I shop versus the way

0:57:52.240 --> 0:57:55.480
<v Speaker 14>my twenty year old daughter shops for cars versus my

0:57:55.560 --> 0:57:58.760
<v Speaker 14>wife shops for cars would be different. What consumers are

0:57:58.800 --> 0:58:02.960
<v Speaker 14>looking for is give me the choice, give me the experience.

0:58:03.040 --> 0:58:06.480
<v Speaker 14>Seamless experience doesn't matter how I choose to shop. If

0:58:06.480 --> 0:58:10.920
<v Speaker 14>I want to do an online, majority of the tasks

0:58:10.960 --> 0:58:14.880
<v Speaker 14>which I don't like, which is signing documents or negotiating price.

0:58:15.560 --> 0:58:19.720
<v Speaker 14>But there are specific tasks I want to do it in,

0:58:20.200 --> 0:58:23.320
<v Speaker 14>like experiencing the product itself, test driving, Like I walk

0:58:23.360 --> 0:58:25.960
<v Speaker 14>into an Apple store and touch and feel my iPhone

0:58:26.040 --> 0:58:26.960
<v Speaker 14>or a Mac.

0:58:27.720 --> 0:58:29.919
<v Speaker 7>I think that is the fundamental.

0:58:30.080 --> 0:58:33.440
<v Speaker 14>So what I see the industry evolving as the retail

0:58:34.480 --> 0:58:37.920
<v Speaker 14>model not going away, but the business will evolve to

0:58:38.000 --> 0:58:41.920
<v Speaker 14>provide the seamless experience for consumers, be if they start

0:58:42.000 --> 0:58:45.480
<v Speaker 14>at a manufacturer website or they start shopping at a

0:58:45.520 --> 0:58:46.600
<v Speaker 14>retailer website.

0:58:47.280 --> 0:58:48.960
<v Speaker 7>Today, the experience is disconnected.

0:58:49.680 --> 0:58:52.880
<v Speaker 14>That's exactly what we are solving from Technion perspective. Why

0:58:52.920 --> 0:58:55.800
<v Speaker 14>not use that as an advantage because consumers need to

0:58:55.880 --> 0:58:58.680
<v Speaker 14>go into a retail location to shop.

0:59:00.640 --> 0:59:01.040
<v Speaker 4>Or whatever.

0:59:01.160 --> 0:59:04.400
<v Speaker 1>Yeah, what are you finding from some of these existing OEMs?

0:59:04.440 --> 0:59:09.200
<v Speaker 1>Do they have that mindset to be flexible about using technology?

0:59:09.200 --> 0:59:11.520
<v Speaker 1>Maybe in ways they haven't done it before. Number one,

0:59:11.760 --> 0:59:12.400
<v Speaker 1>Are they flexible?

0:59:12.480 --> 0:59:15.120
<v Speaker 5>Number two? Are they willing to make whatever investment is required?

0:59:16.480 --> 0:59:18.080
<v Speaker 7>Yeah, you see a full spectrum.

0:59:18.480 --> 0:59:20.920
<v Speaker 14>Some of them are quite flexible, want to do it,

0:59:21.040 --> 0:59:23.720
<v Speaker 14>and they didn't have a very clear path to do it.

0:59:24.080 --> 0:59:27.240
<v Speaker 14>And I think fortunately, I think Techion is helping because

0:59:27.240 --> 0:59:29.360
<v Speaker 14>as you know, we are a new generation company started

0:59:29.400 --> 0:59:33.240
<v Speaker 14>in twenty sixteen, so most modern tech platform from a

0:59:33.280 --> 0:59:37.720
<v Speaker 14>cloud native versus also using machine learning and AI inherently

0:59:37.760 --> 0:59:39.680
<v Speaker 14>part of the platform. So it was not an afterthought

0:59:39.760 --> 0:59:42.080
<v Speaker 14>where we went ahead and built something like that.

0:59:42.520 --> 0:59:43.840
<v Speaker 7>So now we are helping that.

0:59:44.320 --> 0:59:47.320
<v Speaker 14>And you see there are another spectrum where not a

0:59:47.360 --> 0:59:50.040
<v Speaker 14>lot of flexibility is there. There's willingness from the you know,

0:59:50.920 --> 0:59:54.640
<v Speaker 14>senior management at the working level, there is not enough incentive.

0:59:54.240 --> 0:59:55.440
<v Speaker 7>Or push to go change.

0:59:55.480 --> 1:00:00.440
<v Speaker 14>So we see a full spectrum of automotive manufacturers willing

1:00:00.520 --> 1:00:04.600
<v Speaker 14>to change again. We all know the answer is anyone

1:00:04.640 --> 1:00:09.120
<v Speaker 14>who's truly changing will continue to be in the middle

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<v Speaker 14>or be in the front in some cases, and anyone

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<v Speaker 14>who's not changing will be left behind over a.

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<v Speaker 7>Period of time.

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<v Speaker 1>So Jay, just give us a sense of what product

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<v Speaker 1>or what service that you guys are tech on provide,

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<v Speaker 1>say a dealer or the OEM dealer relationship that's proving

1:00:24.360 --> 1:00:25.760
<v Speaker 1>I guess the most popular at the moment.

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<v Speaker 14>Absolutely there are you know two, so three we have

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<v Speaker 14>a three offerings. Retail cloud all interconnected. Retail cloud is

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<v Speaker 14>for retailers. Runs the entire retail operations of retailer everything

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<v Speaker 14>you know if you look at from selling cars online,

1:00:43.120 --> 1:00:49.080
<v Speaker 14>shopping experience, selling cars online, customer engagement, selling cars in store,

1:00:49.480 --> 1:00:51.800
<v Speaker 14>and the complete back office if you would call it

1:00:51.840 --> 1:00:55.080
<v Speaker 14>as a ERP like General Ledger ap AR running their

1:00:55.240 --> 1:00:58.280
<v Speaker 14>entire business and payments because it needs to come together

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<v Speaker 14>to give the best experience. So that's automotive retail cloud

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<v Speaker 14>seamlessly connected to the manufacturer's back end system so to

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<v Speaker 14>track vehicle inventory, to order parts and receive it seamlessly,

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<v Speaker 14>have with civility. And then we have enterprise cloud, which

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<v Speaker 14>is focused as an e commerce engine for manufacturers but

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<v Speaker 14>having a seamless connection to its dealers. So we have

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<v Speaker 14>some of the largest manufacturers in the world using Techion,

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<v Speaker 14>like for example, General Motors is our customer, so we

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<v Speaker 14>have a white liveled platform for them to sell their evs,

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<v Speaker 14>but seamlessly really connecting to their dealers as well.

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<v Speaker 7>So that's retail cloud.

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<v Speaker 14>The last one is we need to bring the ecosystem

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<v Speaker 14>together partner cloud where we have technology APIs and you

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<v Speaker 14>have like insurance providers lenders. So if you sell a car,

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<v Speaker 14>you need to sell an insurance So how do you

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<v Speaker 14>make that process simple and easy? See how do you

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<v Speaker 14>bring the providers through technology seamlessly exchanging data and securely?

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<v Speaker 5>All right, fascinating stuff.

1:02:02.000 --> 1:02:05.040
<v Speaker 1>I mean, it's an industry that is evolving with the

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<v Speaker 1>times and with the technology, and you kind of think

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<v Speaker 1>about the whole stack there. Jay Vagian is the founder

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<v Speaker 1>and CEO of tech Young, joining us here to talk

1:02:13.680 --> 1:02:15.919
<v Speaker 1>to us about evs and how you kind of bring

1:02:15.960 --> 1:02:19.800
<v Speaker 1>it all together from the OEM manufacturer right down through

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<v Speaker 1>the dealer and to the consumer.

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<v Speaker 2>Thanks for listening to the Bloomberg Markets podcast. You can

1:02:26.160 --> 1:02:29.960
<v Speaker 2>subscribe and listen to interviews at Apple Podcasts or whatever

1:02:30.040 --> 1:02:33.760
<v Speaker 2>podcast platform you prefer. I'm Matt Miller. I'm on Twitter

1:02:33.960 --> 1:02:35.880
<v Speaker 2>at Matt Miller nineteen seventy three.

1:02:36.320 --> 1:02:38.760
<v Speaker 5>And I'm fall Sweeney. I'm on Twitter at pt Sweeney.

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<v Speaker 1>Before the podcast, you can always catch us worldwide at

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<v Speaker 1>Bloomberg Radio