WEBVTT - Boeing Wins Largest-Ever Order as Qatar Buys Long-Range Jets 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news, and Android auto with

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<v Speaker 2>One of the big stories that come out of this

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<v Speaker 2>trip to the Middle East, at least for the Boeing company,

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<v Speaker 2>Boeing won the single biggest deal in US planemaker's history,

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<v Speaker 2>with Qatar Airways placing in order for at least one

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<v Speaker 2>hundred and sixty wide body aircraft during.

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<v Speaker 3>A visit to Doha by US President Donald Trump. So

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<v Speaker 3>we're going to dig into that story.

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<v Speaker 2>Sid, Philip joints his deputy team leader for Global Aviation

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<v Speaker 2>a good day for Boeing here, what do you make

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<v Speaker 2>of it?

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<v Speaker 3>Sid's what's Boeing saying about this?

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<v Speaker 4>So Boeing hasn't already said a whole lot about this,

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<v Speaker 4>But I mean, this is a significant deal for Boeing

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<v Speaker 4>because they can sort of add another sort of milestone

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<v Speaker 4>order to their backlog, especially for their seven eighty seven,

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<v Speaker 4>which is the sort of state of the odd white

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<v Speaker 4>Buddy jet, as well as potential for the Triple seven X,

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<v Speaker 4>which is again a jet that Katara Airways has ordered

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<v Speaker 4>and is still to be certified and so as airlines

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<v Speaker 4>sort of look to the next generation of aircraft that

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<v Speaker 4>they're looking to order, this is sort of these are

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<v Speaker 4>these You're going to see these mega deals coming up

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<v Speaker 4>where everyone's looking to sort of replace their current generation

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<v Speaker 4>planes with newer models which are more advanced, better fuel economy,

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<v Speaker 4>and that sort of great for Boeing in terms of

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<v Speaker 4>just building out that backlog and sort of selling out

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<v Speaker 4>aircraft past the end of the decade.

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<v Speaker 5>What is the delivery time for something like this, but

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<v Speaker 5>when it's clearly had some operational execution issues exactly.

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<v Speaker 4>I mean Boeing has been struggling to deliver both the

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<v Speaker 4>seven eight seven as well as seven three seven Max

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<v Speaker 4>and get the seven Triple seven X, which is their

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<v Speaker 4>latest sort of generation aircraft certified. So it is we're

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<v Speaker 4>still not clear on the details for what the sort

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<v Speaker 4>of intricacies of this Qatara deal are, but potentially these

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<v Speaker 4>will sort of play out and go out into the

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<v Speaker 4>next decade because I mean, they've got a significant backlog

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<v Speaker 4>of aircraft that need to deliver in the short term.

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<v Speaker 4>So this is not going to be aircraft deal that

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<v Speaker 4>sort of happens in the next two or three years.

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<v Speaker 4>Is going to be a drawnout deal that goes into

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<v Speaker 4>the next into the next decade.

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<v Speaker 3>Well, stock market likes it.

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<v Speaker 2>Stocks up one point four percent today, Boeing is hitting

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<v Speaker 2>a fifty two week HI. It's up sixteen and a

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<v Speaker 2>half percent year to date, So maybe Boeing's finally digging

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<v Speaker 2>itself out of its hole from the last several years.

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<v Speaker 2>So that kind of goes to the big question said,

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<v Speaker 2>it's all about production, you know, getting planes off, and

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<v Speaker 2>people just say, like George Fergus from Bloomberg Intelligence says,

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<v Speaker 2>just focus on the seven thirty seven Max deliveries. That's

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<v Speaker 2>the number. Is there a sense that Boeing's making improvements there?

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<v Speaker 4>We have seen Boeing deliveries inch up and we've sort

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<v Speaker 4>of they've had sort of milestone in terms of just

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<v Speaker 4>hitting better production levels on the sevent three seven, And

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<v Speaker 4>we've heard from Aline customers, including United Airlines yesterday saying

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<v Speaker 4>that the deliveries of the seven three seven Max are

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<v Speaker 4>sort of going up and they're waiting on the seven

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<v Speaker 4>eighty seven, which is the aircraft that we understand that

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<v Speaker 4>Katara Airways ordered. That's also going to be sort of

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<v Speaker 4>key to getting production and profitability going.

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<v Speaker 5>What other kind of pitch can Boeing make to outstrip

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<v Speaker 5>Airbus because in a duopoly market, and I appreciate that

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<v Speaker 5>China has some smaller players, but if you're dealing with

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<v Speaker 5>a duopoly, like I mean, people got to buy your

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<v Speaker 5>planes exactly.

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<v Speaker 4>I mean, we have adopoly in at the moment.

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<v Speaker 6>And does that change it all? You think? It sort

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<v Speaker 6>of has.

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<v Speaker 4>Changed a little bit in terms of just the sort

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<v Speaker 4>of there's a lot of politics behind aircraft orders again,

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<v Speaker 4>and that's something that we've seen where Trump's been announcing

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<v Speaker 4>these mega Boeing orders. I mean, yesterday announced the deal

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<v Speaker 4>for thirty planes in Saudi Arabia, and so there is

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<v Speaker 4>a lot of politics attached to aircraft orders. But at

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<v Speaker 4>the same time, both Airbus and Boeing are sort of

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<v Speaker 4>sold out of aircraft until the end of the decades.

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<v Speaker 4>So it is sort of you're notching up all these orders.

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<v Speaker 4>But at the same time, the biggest thing that airlines

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<v Speaker 4>are talking about is give me my plane, because that's

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<v Speaker 4>really the biggest question where airlines are saying that plane

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<v Speaker 4>deliveries are delayed, and the air Bus has repeatedly talked

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<v Speaker 4>about how supply chain issues continue to haunt the industry

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<v Speaker 4>now five years after the pandemic.

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<v Speaker 2>Yeah, which I can't imagine, although again I'm what I

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<v Speaker 2>understand is one of the bottlenecks is labor getting the

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<v Speaker 2>This is not just you know, sitting an assembly line

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<v Speaker 2>and hitting a hammer. You've got to be really, really

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<v Speaker 2>skilled at labor, and during the pandemic you lost a

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<v Speaker 2>lot of that and retraining these folks are getting new

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<v Speaker 2>people in it. I'm hearing that's a big problem.

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<v Speaker 4>Labor is a major problem as well as I mean,

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<v Speaker 4>just one part being short holds up the entire production line.

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<v Speaker 4>I mean, you have millions of parts that go into

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<v Speaker 4>an aircraft, and Evers and Boeing are the final assembly

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<v Speaker 4>lines where the plane actually gets put together. But then

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<v Speaker 4>if parts are not available in the sort of process,

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<v Speaker 4>you can't actually build those planes. And that's where the

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<v Speaker 4>bottlenecks come up. Because you have smaller suppliers who are

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<v Speaker 4>struggling financially, You've got parts in short supply. I mean

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<v Speaker 4>EBUS talks about it's sort of it's whack a mole

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<v Speaker 4>where you get one part sorted out and something else breaks,

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<v Speaker 4>and so it's it's really a question of getting that

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<v Speaker 4>supply chain to sort of hum along nicely and then

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<v Speaker 4>actually building those planes and delivering those planes because you've

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<v Speaker 4>now got record backlogs at both Boeing and Airbus.

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<v Speaker 6>So are they exempt from tariff issues?

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<v Speaker 4>That's again a really important question. No one's quite clear

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<v Speaker 4>about in terms of what the tariff impact is going

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<v Speaker 4>to be because for fifty years almost that the aviation

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<v Speaker 4>industry has largely functioned tariff free, and the tariffs added

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<v Speaker 4>complexity to it because now everyone's not quite sure if

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<v Speaker 4>aircraft are example. I mean, you've seen like all sorts

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<v Speaker 4>of industry players and industry groups making representations to President

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<v Speaker 4>Trump saying that we would like to have tariffs removed

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<v Speaker 4>on aircraft and aircraft parts, and so we're trying to

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<v Speaker 4>see where that sort of actually lands up, because potentially

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<v Speaker 4>aircraft manufacturers and airlines may have to pay tariffs on

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<v Speaker 4>planes depending on what they're mean and what parts they have.

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<v Speaker 5>Right, which makes all of this that much more complicated

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<v Speaker 5>and more difficult.

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<v Speaker 6>All right, should be great to say that.

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<v Speaker 5>Thanks very much joining us here, said Phillip, Deputy Team

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<v Speaker 5>leader for Global Aviation. We appreciate that. Always good to

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<v Speaker 5>see you in New York too. Thank you.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

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<v Speaker 2>Alex Deal, Paul Swiney, we are live here in our

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<v Speaker 2>Bloomberg Interactive Brokers studio in New York City, or streaming

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<v Speaker 2>live on YouTube as well. I'm looking at the S

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<v Speaker 2>and P five hundred, absolutely flat on the year. So

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<v Speaker 2>you know, we were down thirteen fourteen percent of the year,

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<v Speaker 2>peaked the trough twenty percent, climbed, you know, crawled out

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<v Speaker 2>of that hole.

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<v Speaker 3>Right here, and we'll see where we go from here.

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<v Speaker 3>Sean oh Harry joins US.

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<v Speaker 2>President Pastry Ets join us via zoom from Florida. Hey Sean,

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<v Speaker 2>what do you do now? I mean, you're we were

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<v Speaker 2>really selling off hard. Recession talk was getting pretty heated.

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<v Speaker 2>Now the President has kind of walked back seemingly some

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<v Speaker 2>of the tariff uncertainty in the marketplaces, and that seems

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<v Speaker 2>to be enough for investors that come back into the markets.

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<v Speaker 3>What do you guys see?

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<v Speaker 7>Yeah, thanks for having me. I think there was three

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<v Speaker 7>things that were sort of headwinds into the market earlier

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<v Speaker 7>this year. One was the tariff stuff. I think, you know,

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<v Speaker 7>I don't think anybody was surprised that he was going

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<v Speaker 7>to make an issue of it.

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<v Speaker 8>I think the.

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<v Speaker 7>Severity, if you will, sort of spooked people a little bit.

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<v Speaker 7>I never thought they were ever going to come in

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<v Speaker 7>at that rate, you know, I always thought this was

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<v Speaker 7>going to be a negotiation, and as you see, where

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<v Speaker 7>are in the midst of a lot of negotiations. I

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<v Speaker 7>think the second sort of headwind was uncertainly about tax policy,

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<v Speaker 7>and hopefully that will get itself resolved.

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<v Speaker 8>And then the third ist.

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<v Speaker 7>Has always been the Fed and whether they're being too

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<v Speaker 7>slow in terms of their approach to interest rates. One

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<v Speaker 7>of those tailwinds I think has turned into a I

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<v Speaker 7>mean headwinds has turned into a tailwind, and that's the

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<v Speaker 7>tariff policy.

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<v Speaker 8>I think we're seeing.

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<v Speaker 7>Terrific progress there across the board, and I think we'll

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<v Speaker 7>continue to see that. Hopefully, you know, Congress will get

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<v Speaker 7>their act together and they'll get the quote unquote big

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<v Speaker 7>beautiful bill done, and then we'll wait and see with

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<v Speaker 7>regard to what's going with with with with Sherman Pale.

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<v Speaker 7>So I think the environment has changed from a somewhat

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<v Speaker 7>die or you know, oh gosh, we're going to have

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<v Speaker 7>it in a recession and inflation is going to be

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<v Speaker 7>horrible because of all these tariffs, to an environment where

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<v Speaker 7>I think there's less talk of a recession and less

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<v Speaker 7>concerned about the potential inflation regarding terrorists. There is, you know,

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<v Speaker 7>some good news in this market, and that is that

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<v Speaker 7>energy prices are down and energy has a big input

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<v Speaker 7>to inflation. And we saw a really nice print the

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<v Speaker 7>other day, So I think you can be somewhat optimistic now,

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<v Speaker 7>whereas I think earlier, with those three headwinds, you had

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<v Speaker 7>to be a little bit more cautious.

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<v Speaker 6>Do we still see the buy the mentality?

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<v Speaker 7>Uh? You know, it's interesting, Alex. We're seeing two different

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<v Speaker 7>camps here. The big institutional investors in the hedge funders

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<v Speaker 7>are have been net short, and so I'm looking for

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<v Speaker 7>some kind of a short rally it's, you know, as

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<v Speaker 7>they finally capitulate on their short positions. But the retail

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<v Speaker 7>investor has been really, really strong, and so I think

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<v Speaker 7>the retail investor is sort of thinking about this differently

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<v Speaker 7>than the big institutional investors and putting money in every

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<v Speaker 7>time they get a chance to and that's probably, you know,

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<v Speaker 7>the smarter move in the long run. I mean, in

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<v Speaker 7>the short run, nobody knows what the market's going to do.

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<v Speaker 7>But in the long run, over time, you know, you

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<v Speaker 7>could describe this dock market in eight simple words. The

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<v Speaker 7>advance is permanent and all declines are temporary. So we're

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<v Speaker 7>seeing sort of two camps out there.

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<v Speaker 2>So Sean as president Pacer ETFs, where are you guys

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<v Speaker 2>seeing fun flows?

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<v Speaker 3>Is it different maybe this.

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<v Speaker 2>Week versus a couple of weeks ago when we had

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<v Speaker 2>companies pulling guidance and again real angst in the marketplace.

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<v Speaker 7>Well, it's funny, you know, Paul. A couple of weeks ago,

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<v Speaker 7>our volumes were insane, like three four times the average

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<v Speaker 7>down volume on ours across the board, and so that

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<v Speaker 7>was to me a sign of panic in the market.

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<v Speaker 7>They've now sort of settled down. We're seeing, you know,

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<v Speaker 7>surprisingly some good flows into international and global as you know,

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<v Speaker 7>those markets have done better. I think our global fund

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<v Speaker 7>is up somewhere around nine or ten percent year to date.

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<v Speaker 7>I just looked at emerging markets the other day. It's

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<v Speaker 7>up pretty handily as well. So we're seeing flows there

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<v Speaker 7>we're seeing consistent flows into the cash Cow series on

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<v Speaker 7>the value side, so you know, those are high quality

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<v Speaker 7>stocks that generate higher return on assets and traded a discount,

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<v Speaker 7>so that's sort of a more conservative quality play. And

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<v Speaker 7>then we're seeing really significant flows into one of our

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<v Speaker 7>growth ETFs that uses free cash flow margin. And then

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<v Speaker 7>there's a little bit of sort of in the financial

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<v Speaker 7>advisor community, there's really two camps as well, those that

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<v Speaker 7>sort of want to tap the brakes a little bit

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<v Speaker 7>and those that want to put their foot on the gas.

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<v Speaker 7>For those that want to tap their brakes a little bit,

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<v Speaker 7>we're seeing flows into some of the risk management strategies.

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<v Speaker 8>That we have.

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<v Speaker 5>Interesting so, I mean, guess is how you make a market?

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<v Speaker 5>I mean you have two different directions and then and

0:10:47.640 --> 0:10:49.920
<v Speaker 5>then you move around that really interesting stuff. Thank you

0:10:49.920 --> 0:10:52.760
<v Speaker 5>so much, Sean Shaan O'Hair, president of Pacer ETFs, joining

0:10:52.840 --> 0:10:55.720
<v Speaker 5>us about all the flows within the market.

0:10:57.400 --> 0:11:01.120
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:11:01.200 --> 0:11:04.280
<v Speaker 1>weekdays at ten am Eastern on Apple Cocklay and Android

0:11:04.280 --> 0:11:07.600
<v Speaker 1>Auto with the Bloomberg Business app. Listen on demand wherever

0:11:07.640 --> 0:11:10.720
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:11:11.520 --> 0:11:13.000
<v Speaker 6>This is Bloomberg Intelligence Radio.

0:11:13.160 --> 0:11:15.120
<v Speaker 5>We bring you all the top news and business, economics

0:11:15.160 --> 0:11:17.640
<v Speaker 5>and finance through a lens of our Bloomberg Intelligence folks

0:11:17.679 --> 0:11:19.520
<v Speaker 5>take over two thousand companies and one hundred and thirty

0:11:19.559 --> 0:11:21.160
<v Speaker 5>industries all around the world.

0:11:21.320 --> 0:11:24.280
<v Speaker 6>We're also privileged to speak to a lot of CEOs.

0:11:23.800 --> 0:11:25.720
<v Speaker 5>From all around the world, and one of us joins

0:11:25.800 --> 0:11:29.520
<v Speaker 5>us in the studio right now, EOS Energy Enterprise. It

0:11:29.640 --> 0:11:33.880
<v Speaker 5>is a zinc powered grid scale batteries. We know we

0:11:33.960 --> 0:11:37.120
<v Speaker 5>need updates to the grid. We know we need batteries

0:11:37.160 --> 0:11:39.800
<v Speaker 5>and storage, and how we make them and where the

0:11:39.840 --> 0:11:43.640
<v Speaker 5>supply chains are are also a key. Now this company

0:11:43.720 --> 0:11:46.760
<v Speaker 5>is interesting because it has a US manufacturing plant and

0:11:47.000 --> 0:11:49.480
<v Speaker 5>supply chain. Joining us now in the studio is a CEO,

0:11:49.800 --> 0:11:52.280
<v Speaker 5>Joe Mastragello mass Strandgello.

0:11:52.440 --> 0:11:54.959
<v Speaker 6>There we go, I got it. Welcome, It's good me

0:11:54.960 --> 0:11:56.120
<v Speaker 6>withee you.

0:11:56.480 --> 0:11:58.679
<v Speaker 5>So basically you're looking at a seven hundred and twenty

0:11:58.679 --> 0:12:01.280
<v Speaker 5>percent increase in your stock in the last year.

0:12:02.240 --> 0:12:05.360
<v Speaker 6>What is a zinc powered grid scale battery. Let's start there.

0:12:05.480 --> 0:12:09.559
<v Speaker 9>Yeah, so when you think about this, think of think

0:12:09.600 --> 0:12:11.920
<v Speaker 9>about the battery you see in your car. So we

0:12:12.000 --> 0:12:16.439
<v Speaker 9>have a plastic enclosure that has the active materials of

0:12:16.480 --> 0:12:21.560
<v Speaker 9>the battery inside of it, the zinc, so zinc, bromine

0:12:21.640 --> 0:12:24.480
<v Speaker 9>based water based electrolyte base on what you're doing. You

0:12:24.480 --> 0:12:26.840
<v Speaker 9>put a charge in the zinc and the bromine separate.

0:12:26.880 --> 0:12:28.880
<v Speaker 9>When the charge goes in the zinc plates onto a

0:12:28.920 --> 0:12:32.960
<v Speaker 9>conductive plastic, the bromine is absorbed into a carbonized felt

0:12:33.280 --> 0:12:34.800
<v Speaker 9>and then you discharge it. And you can do that

0:12:34.880 --> 0:12:38.040
<v Speaker 9>anywhere from two hours up to fifteen hours. It's all

0:12:38.080 --> 0:12:42.360
<v Speaker 9>common core raw materials, highly flexible in its operation and

0:12:43.360 --> 0:12:45.120
<v Speaker 9>at scale, is very cost competitive.

0:12:45.800 --> 0:12:47.800
<v Speaker 2>All right, I'm looking you are a Puppety Trader company,

0:12:47.800 --> 0:12:49.960
<v Speaker 2>and we'll set your income statement on the Bloomberg terminal

0:12:50.320 --> 0:12:52.439
<v Speaker 2>twenty twenty four. You at like fifteen million of revenue.

0:12:52.520 --> 0:12:54.880
<v Speaker 2>Consensus looks like the analysts are looking for a one hundred

0:12:54.920 --> 0:12:57.600
<v Speaker 2>and sixty million this year, maybe four or fifty million

0:12:57.640 --> 0:12:58.440
<v Speaker 2>and twenty twenty six.

0:12:59.080 --> 0:13:01.200
<v Speaker 3>What are you guys doing helping your business?

0:13:01.440 --> 0:13:05.560
<v Speaker 9>So we are scaling up the manufacturing of our battery modules.

0:13:05.600 --> 0:13:09.600
<v Speaker 9>So basically we manufacturer battery modules that go into an enclosure.

0:13:09.640 --> 0:13:12.960
<v Speaker 9>The enclosure goes out into the into the field. It's

0:13:13.080 --> 0:13:15.679
<v Speaker 9>coupled with some energy source. It could be coupled direct

0:13:15.679 --> 0:13:18.320
<v Speaker 9>to the grid to help with grid firming or peak shaving.

0:13:18.400 --> 0:13:21.400
<v Speaker 9>It could be coupled with a power generating source wind

0:13:21.640 --> 0:13:25.360
<v Speaker 9>solar or traditional fossil fuels, or could be put and

0:13:25.800 --> 0:13:30.280
<v Speaker 9>a microgrid for a commercial and industrial application. The growth

0:13:30.320 --> 0:13:33.720
<v Speaker 9>that you're seeing is basically taking our manufacturing process and

0:13:33.760 --> 0:13:36.840
<v Speaker 9>going from a semi automated manufacturing line to a fully

0:13:36.880 --> 0:13:40.480
<v Speaker 9>automated manufacturer manufacturing. So we manufacture in Turtle Creek and

0:13:40.640 --> 0:13:43.840
<v Speaker 9>outside Pittsburgh, Pennsylvania, and our headquarters is in Edison, New Jersey.

0:13:43.960 --> 0:13:45.320
<v Speaker 8>Edison, there you go.

0:13:45.559 --> 0:13:48.959
<v Speaker 6>There is this You mentioned it's cost competitive at scale?

0:13:49.000 --> 0:13:49.800
<v Speaker 6>Are you at scale?

0:13:50.120 --> 0:13:52.840
<v Speaker 8>We're getting there. So we first the way we did

0:13:52.840 --> 0:13:54.120
<v Speaker 8>this was we.

0:13:54.040 --> 0:13:56.640
<v Speaker 9>Went in and got the assembly of the battery automated,

0:13:56.640 --> 0:14:00.000
<v Speaker 9>and now we're doing our upfront parts to automate those.

0:14:00.160 --> 0:14:02.680
<v Speaker 9>That gets our line to two gigawat hours a year

0:14:03.120 --> 0:14:03.679
<v Speaker 9>of production.

0:14:03.800 --> 0:14:05.040
<v Speaker 8>From there, you take the lines.

0:14:05.080 --> 0:14:07.480
<v Speaker 9>The way we designed this was you cut and paste

0:14:07.480 --> 0:14:09.760
<v Speaker 9>lines to expand capacity, and we have plans to get

0:14:09.960 --> 0:14:12.320
<v Speaker 9>our Pittsburgh facility, our Turtle Creek facility up to eight

0:14:12.320 --> 0:14:13.640
<v Speaker 9>gigawat hours a year in production.

0:14:14.080 --> 0:14:15.920
<v Speaker 3>Who's your customer, generally.

0:14:16.200 --> 0:14:20.360
<v Speaker 9>Type utility utilities, utility scale developers. We also have a

0:14:20.440 --> 0:14:23.560
<v Speaker 9>large segment now that's emerging with data centers for all

0:14:23.560 --> 0:14:24.440
<v Speaker 9>the energy needs they have.

0:14:25.520 --> 0:14:26.600
<v Speaker 6>So we can now I get it.

0:14:26.920 --> 0:14:29.800
<v Speaker 3>This is another play on the AI story.

0:14:29.880 --> 0:14:31.920
<v Speaker 2>Is that the investment call out there, it's one of them,

0:14:32.200 --> 0:14:33.120
<v Speaker 2>one of yes.

0:14:33.480 --> 0:14:34.960
<v Speaker 9>Well, when you think, when you think about so, it

0:14:35.000 --> 0:14:37.120
<v Speaker 9>took me a while to understand this, right, I'm a

0:14:37.160 --> 0:14:39.800
<v Speaker 9>simple guy, right, So I always saw the hey, data

0:14:39.800 --> 0:14:41.320
<v Speaker 9>centers go up and they run of the EU power.

0:14:41.320 --> 0:14:44.240
<v Speaker 9>But there's a lot of fluctuations in the power demands

0:14:44.240 --> 0:14:44.640
<v Speaker 9>that you have.

0:14:45.040 --> 0:14:46.400
<v Speaker 8>So we help smooth those out and.

0:14:46.320 --> 0:14:48.280
<v Speaker 9>We make it more efficient and give them, give them

0:14:48.360 --> 0:14:50.280
<v Speaker 9>lower cost energy to run their operation.

0:14:50.200 --> 0:14:51.960
<v Speaker 6>Which which is sort of the whole deal with intermitt

0:14:51.960 --> 0:14:53.520
<v Speaker 6>and power. You need the batteries that go with it.

0:14:53.680 --> 0:14:55.760
<v Speaker 5>You can have intermittent power, but you need the batteries

0:14:55.880 --> 0:14:59.280
<v Speaker 5>or a variety. Right, Okay, So talk to me about

0:14:59.320 --> 0:15:02.640
<v Speaker 5>then your costs. How are they looking? Are they coming down?

0:15:02.720 --> 0:15:05.960
<v Speaker 5>When you sign contracts with customers? What does that look like?

0:15:06.000 --> 0:15:07.640
<v Speaker 5>How hard is it to get to agreements?

0:15:07.840 --> 0:15:08.040
<v Speaker 8>Yeah?

0:15:08.120 --> 0:15:10.480
<v Speaker 9>So on the on the product cost side, you know,

0:15:10.520 --> 0:15:14.000
<v Speaker 9>we designed when we designed this battery as a small startup,

0:15:14.120 --> 0:15:17.560
<v Speaker 9>we only used materials that are used somewhere else.

0:15:17.560 --> 0:15:19.720
<v Speaker 8>So we basically drafted.

0:15:19.360 --> 0:15:22.320
<v Speaker 9>Off of other supply chains and said there's another supply chain,

0:15:22.440 --> 0:15:24.840
<v Speaker 9>use that material, don't put anything custom in the battery.

0:15:24.840 --> 0:15:26.720
<v Speaker 8>Because it is a small company, we can't afford it.

0:15:26.800 --> 0:15:29.040
<v Speaker 9>So that allows you as you scale, the cost comes down,

0:15:29.080 --> 0:15:31.640
<v Speaker 9>Like we've taken our cost down from launch of our

0:15:31.680 --> 0:15:34.600
<v Speaker 9>new product. The cost is down over seventy five percent

0:15:34.680 --> 0:15:36.960
<v Speaker 9>since we launched the product. When you think about on

0:15:37.000 --> 0:15:40.480
<v Speaker 9>the flipping that over to like the seal side in

0:15:40.520 --> 0:15:42.840
<v Speaker 9>the industry, you know, like like the miracle of flipping

0:15:42.840 --> 0:15:44.600
<v Speaker 9>your light switch, there's a lot of technology and a

0:15:44.640 --> 0:15:46.920
<v Speaker 9>lot of safety that goes into that. Customers want to

0:15:46.920 --> 0:15:48.840
<v Speaker 9>make sure that the product works. We've gone through the

0:15:48.840 --> 0:15:52.840
<v Speaker 9>process of qualifying that technology, improving that it works, and

0:15:52.880 --> 0:15:54.680
<v Speaker 9>showing people where it is. So like what we're doing

0:15:54.760 --> 0:15:57.080
<v Speaker 9>is we go out, we sell the product, show the

0:15:57.200 --> 0:15:59.160
<v Speaker 9>use case, and when they see the use case.

0:15:59.040 --> 0:16:00.480
<v Speaker 8>In the return, they wind up purchasing.

0:16:00.520 --> 0:16:03.640
<v Speaker 9>Right now, our backlog in order stands above six hundred

0:16:03.680 --> 0:16:06.640
<v Speaker 9>and fifty million dollars in backlog with an opportunity pipeline,

0:16:06.680 --> 0:16:07.720
<v Speaker 9>that's over fifteen billion.

0:16:08.200 --> 0:16:08.480
<v Speaker 8>Wow.

0:16:08.600 --> 0:16:11.200
<v Speaker 3>How are you capitalizing the company this growth?

0:16:11.600 --> 0:16:15.160
<v Speaker 9>So we're publicly traded. We we got an investment last

0:16:15.240 --> 0:16:20.960
<v Speaker 9>year from Service Capital, very very good strategic strategic partner

0:16:21.000 --> 0:16:21.880
<v Speaker 9>that's helping us grow.

0:16:22.280 --> 0:16:24.680
<v Speaker 8>We have a loan from the Loan Program's.

0:16:24.240 --> 0:16:26.360
<v Speaker 9>Office and the DOE which will help us expand the

0:16:26.400 --> 0:16:29.640
<v Speaker 9>manufacturing in the United States. And then we're starting to

0:16:29.680 --> 0:16:31.400
<v Speaker 9>get the company as we scale. And getting back to

0:16:31.440 --> 0:16:33.800
<v Speaker 9>Alex's question on the cost is that you know we're

0:16:33.800 --> 0:16:36.840
<v Speaker 9>going to we're targeting to fund ourselves from operations as

0:16:36.840 --> 0:16:38.880
<v Speaker 9>we get into into twenty twenty six.

0:16:39.120 --> 0:16:42.360
<v Speaker 5>So you've also had a Department of loan three hundred

0:16:42.360 --> 0:16:44.240
<v Speaker 5>and three point five million dollars to fund some new

0:16:44.280 --> 0:16:45.920
<v Speaker 5>production lines, new.

0:16:45.840 --> 0:16:49.320
<v Speaker 6>Administration, different world. Is that loan still intact?

0:16:49.680 --> 0:16:52.400
<v Speaker 8>It is? And look, I think, like anybody.

0:16:52.240 --> 0:16:53.720
<v Speaker 6>Do confidence that will stay intact?

0:16:54.360 --> 0:16:54.640
<v Speaker 8>I do?

0:16:54.680 --> 0:16:57.320
<v Speaker 9>I Well, Look, I think when you look at the company,

0:16:58.040 --> 0:17:01.600
<v Speaker 9>this company at fifty employees in twenty eighteen, we have

0:17:01.680 --> 0:17:05.439
<v Speaker 9>over six hundred. Now we created four hundred manufacturing jobs

0:17:05.560 --> 0:17:07.960
<v Speaker 9>in an area that lost a lot of manufacturing jobs.

0:17:08.119 --> 0:17:09.840
<v Speaker 8>It's right down the fairway. What we want to do

0:17:10.040 --> 0:17:11.359
<v Speaker 8>as a country.

0:17:11.640 --> 0:17:14.760
<v Speaker 2>Is, so how do you guys, what's the future of

0:17:14.760 --> 0:17:16.640
<v Speaker 2>the company just just grow internally.

0:17:16.720 --> 0:17:17.560
<v Speaker 3>Is that kind of the play?

0:17:18.080 --> 0:17:18.640
<v Speaker 8>Yeah? Maybe.

0:17:18.720 --> 0:17:22.199
<v Speaker 9>Look, I think there's a lot of opportunities, opportunities to

0:17:22.240 --> 0:17:23.160
<v Speaker 9>think a little bit bigger.

0:17:23.200 --> 0:17:24.400
<v Speaker 8>The way we thought about the strategy.

0:17:24.440 --> 0:17:28.359
<v Speaker 9>The company is a differentiated battery technology packaged really well

0:17:28.600 --> 0:17:31.920
<v Speaker 9>with software around it to optimize operations when you think

0:17:31.960 --> 0:17:34.240
<v Speaker 9>about what customers buy. There are other opportunities there, but

0:17:34.320 --> 0:17:37.399
<v Speaker 9>right now we're focused on get factory one at scale,

0:17:37.480 --> 0:17:39.520
<v Speaker 9>get factory two launch, and then look from there.

0:17:39.720 --> 0:17:41.800
<v Speaker 2>All right, great stuff, great story, Joe, appreciate you. It's

0:17:41.840 --> 0:17:44.560
<v Speaker 2>taking a few minutes coming to the studio. Joe Masta Angelo,

0:17:44.840 --> 0:17:47.720
<v Speaker 2>he's the CEO of EOS Energy Enterprises, joining us here

0:17:47.720 --> 0:17:50.000
<v Speaker 2>in our Bloomberg and Directive Broker studio talking about the

0:17:50.040 --> 0:17:54.200
<v Speaker 2>smart battery stuff. It's chemistry. I did take chemistry, but not.

0:17:54.200 --> 0:17:56.280
<v Speaker 3>Really that good at it. So that's why.

0:17:56.640 --> 0:17:59.000
<v Speaker 6>Which is girt Because you like numbers, well, like.

0:17:59.240 --> 0:18:01.760
<v Speaker 3>Wall Street numbers. Ok yeah, like big round numbers. You'll

0:18:01.800 --> 0:18:02.760
<v Speaker 3>be a bonus of X.

0:18:03.280 --> 0:18:04.320
<v Speaker 6>Okay, so that number.

0:18:04.880 --> 0:18:07.760
<v Speaker 3>See I'm charging you for this option. That is why

0:18:08.119 --> 0:18:08.760
<v Speaker 3>you get paid that.

0:18:10.640 --> 0:18:14.320
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us Live

0:18:14.400 --> 0:18:17.800
<v Speaker 1>weekdays at ten am Eastern on Applecarclay, and Android Auto

0:18:17.920 --> 0:18:20.960
<v Speaker 1>with the Bloomberg Business App. Listen on demand wherever you

0:18:21.000 --> 0:18:24.000
<v Speaker 1>get your podcasts, or watch us live on YouTube.

0:18:24.480 --> 0:18:27.879
<v Speaker 2>Remember before all this towers tariff in discussion over the

0:18:27.960 --> 0:18:30.600
<v Speaker 2>last several months, we were talking about something called AI

0:18:30.880 --> 0:18:32.760
<v Speaker 2>that was kind of a big topic for the market.

0:18:32.840 --> 0:18:35.399
<v Speaker 2>So we had this Deep Seek come out of China

0:18:35.440 --> 0:18:38.199
<v Speaker 2>and really throw a wrench into the narrative, which is

0:18:38.760 --> 0:18:41.680
<v Speaker 2>more tech growth, more growth overall, were riding this thing

0:18:41.920 --> 0:18:44.400
<v Speaker 2>to the moon than the Deep Seat came out.

0:18:44.880 --> 0:18:45.600
<v Speaker 3>Let's rethink this.

0:18:45.560 --> 0:18:45.959
<v Speaker 8>A little bit.

0:18:46.040 --> 0:18:47.960
<v Speaker 3>Let's go revisit that story. We can do that.

0:18:48.040 --> 0:18:51.120
<v Speaker 2>Austin Krb, Bloomberg Technology Reporter. Now he's got the big

0:18:51.160 --> 0:18:54.680
<v Speaker 2>take story here. It's in Bloomberg BusinessWeek. Deep sakes tech

0:18:55.000 --> 0:18:58.320
<v Speaker 2>madman is threatening us dominance over AI.

0:18:58.560 --> 0:19:00.400
<v Speaker 3>That got my attention. I clicked on it.

0:19:00.520 --> 0:19:04.800
<v Speaker 2>Austin, talk to us about your column here in Bloomberg BusinessWeek.

0:19:04.840 --> 0:19:06.200
<v Speaker 3>Talk to us about Deep Seek.

0:19:06.280 --> 0:19:10.760
<v Speaker 2>What do we know about them and the individual behind them?

0:19:11.440 --> 0:19:14.040
<v Speaker 10>So Deep Seek, as you'll recall, gained a lot of

0:19:14.040 --> 0:19:16.320
<v Speaker 10>attention a few months ago when it released its new

0:19:16.520 --> 0:19:18.920
<v Speaker 10>R one reasoning model as well as another one called

0:19:19.000 --> 0:19:21.840
<v Speaker 10>V three, And the big deal about this was they

0:19:21.960 --> 0:19:24.679
<v Speaker 10>sort of claimed to have trained it without access to

0:19:24.720 --> 0:19:27.439
<v Speaker 10>a lot of the most cutting edge Nvidia chips, and

0:19:27.480 --> 0:19:30.720
<v Speaker 10>they also trained their models for a lot less, at

0:19:30.800 --> 0:19:33.000
<v Speaker 10>least on the surface than a lot of the model's

0:19:33.440 --> 0:19:36.320
<v Speaker 10>equivalent models here have been trained in the US, and

0:19:36.359 --> 0:19:39.159
<v Speaker 10>that raised a lot of questions about some of the

0:19:39.200 --> 0:19:42.520
<v Speaker 10>fundamental notions about how many chips are needed to train

0:19:42.600 --> 0:19:44.960
<v Speaker 10>these big AI models and how much it's going to

0:19:45.000 --> 0:19:49.240
<v Speaker 10>cost to develop them. The reason it was also a

0:19:49.240 --> 0:19:51.199
<v Speaker 10>big deal was just because the startup was sort of

0:19:51.440 --> 0:19:54.720
<v Speaker 10>very mysterious. There had not been much written about them

0:19:54.720 --> 0:19:58.120
<v Speaker 10>before sort of January twenty twenty five, and we spent

0:19:58.200 --> 0:20:00.520
<v Speaker 10>a lot of time the last couple of months talking

0:20:00.520 --> 0:20:03.479
<v Speaker 10>to about a dozen former employees that worked for this company,

0:20:03.480 --> 0:20:07.000
<v Speaker 10>it's founder Leong Win Feg, as well as forty sources

0:20:07.040 --> 0:20:10.200
<v Speaker 10>close to the Chinese AI scene, to really just give

0:20:10.240 --> 0:20:12.760
<v Speaker 10>you a sense of how their sort of market is

0:20:12.800 --> 0:20:16.040
<v Speaker 10>developing very differently than what's happening in the US, which

0:20:16.080 --> 0:20:18.480
<v Speaker 10>is they're doing a lot more with less and sort

0:20:18.480 --> 0:20:21.639
<v Speaker 10>of just trying to innovate despite the constraints that the

0:20:21.720 --> 0:20:24.800
<v Speaker 10>US has placed on it with all its export controls.

0:20:25.000 --> 0:20:25.840
<v Speaker 6>How did he do it?

0:20:26.600 --> 0:20:29.600
<v Speaker 5>How is he able to undercut the price in such

0:20:29.600 --> 0:20:30.360
<v Speaker 5>a tremendous way.

0:20:31.520 --> 0:20:34.119
<v Speaker 10>Well, I think that's one of the big topics that

0:20:34.160 --> 0:20:36.320
<v Speaker 10>we explore in the story. We trace it actually back

0:20:36.320 --> 0:20:39.240
<v Speaker 10>to the history. Leong Win Fang had started a quant

0:20:39.280 --> 0:20:43.160
<v Speaker 10>fund back in about fifteen twenty sixteen, and you actually

0:20:43.200 --> 0:20:46.320
<v Speaker 10>see a lot of those sort of quant sensibilities looking

0:20:46.320 --> 0:20:50.240
<v Speaker 10>for efficiencies in the market, which they later applied to

0:20:50.720 --> 0:20:53.480
<v Speaker 10>their AI models. It was sort of a sort of

0:20:53.480 --> 0:20:55.280
<v Speaker 10>spin off of what they were doing with that quant

0:20:55.320 --> 0:20:57.840
<v Speaker 10>fund that became Deep Seek. One of the big things

0:20:57.880 --> 0:21:01.000
<v Speaker 10>they did was called mixture of experts, basically a lot

0:21:01.040 --> 0:21:03.200
<v Speaker 10>of the sort of when you used CHATCHVT back in

0:21:03.240 --> 0:21:05.480
<v Speaker 10>the day, you asked it a question, it activated the

0:21:05.640 --> 0:21:08.760
<v Speaker 10>entire model. So think of that like your entire brain

0:21:08.800 --> 0:21:11.480
<v Speaker 10>is activated just for the question two plus two. What

0:21:11.880 --> 0:21:13.639
<v Speaker 10>Deep Seat did that was a little bit different was

0:21:13.720 --> 0:21:16.160
<v Speaker 10>chop it up into what are called experts. So every

0:21:16.160 --> 0:21:18.199
<v Speaker 10>time you ask a question, it actually routes that to

0:21:18.280 --> 0:21:21.240
<v Speaker 10>the particular part of the brain that is expert in math,

0:21:21.359 --> 0:21:23.879
<v Speaker 10>or expert in physics, or expert in cooking, what have you.

0:21:24.240 --> 0:21:26.840
<v Speaker 10>So it's a lot more efficient approach. But the downside

0:21:26.880 --> 0:21:29.560
<v Speaker 10>is it risks hallucinating more or perhaps sending the question

0:21:29.600 --> 0:21:31.400
<v Speaker 10>to the wrong part of the brain. But that's one

0:21:31.400 --> 0:21:33.280
<v Speaker 10>of the techniques that they use to really bring this

0:21:33.640 --> 0:21:36.639
<v Speaker 10>model to life for a lot cheaper and according to

0:21:36.680 --> 0:21:38.400
<v Speaker 10>the Deep Seek, with a lot less or a lot

0:21:38.440 --> 0:21:41.040
<v Speaker 10>fewer of in vidio chips than to them a lot

0:21:41.080 --> 0:21:44.320
<v Speaker 10>of the Western players like open Ai have access to.

0:21:45.200 --> 0:21:47.200
<v Speaker 2>I guess one of the things that surprised people, maybe

0:21:47.520 --> 0:21:50.200
<v Speaker 2>scared some people, is how deep Seat was able to

0:21:50.240 --> 0:21:55.000
<v Speaker 2>make so much progress when supposedly all these Western sanctions

0:21:55.040 --> 0:21:57.520
<v Speaker 2>on technology going to China didn't really seem to slow

0:21:57.560 --> 0:21:58.160
<v Speaker 2>it down at all.

0:21:58.560 --> 0:22:00.680
<v Speaker 10>What's the status saying, I think that's that's one of

0:22:00.720 --> 0:22:04.160
<v Speaker 10>the big ironies actually, if incidentally, I had interviewed Jensen

0:22:04.200 --> 0:22:07.640
<v Speaker 10>Huang from the CEO of Nvidia in May twenty twenty three,

0:22:07.720 --> 0:22:10.960
<v Speaker 10>and that was the very month, coincidentally that you know,

0:22:11.000 --> 0:22:13.560
<v Speaker 10>on the other side of the world, China was, you know,

0:22:13.600 --> 0:22:16.239
<v Speaker 10>getting started with deep Seek, and Jensen told me at

0:22:16.240 --> 0:22:18.440
<v Speaker 10>the time, you know, one of his big concerns about

0:22:18.480 --> 0:22:21.920
<v Speaker 10>export controls is it's actually just going to incentivive Chinese

0:22:22.119 --> 0:22:24.440
<v Speaker 10>chip makers to work a lot harder to develop chips

0:22:24.440 --> 0:22:27.480
<v Speaker 10>that can compete within videas. But the other near term

0:22:27.520 --> 0:22:31.600
<v Speaker 10>threat is actually software makers sort of their constraints from

0:22:31.600 --> 0:22:33.440
<v Speaker 10>the sources that we've talked too close to Deep Seek

0:22:33.640 --> 0:22:37.080
<v Speaker 10>are actually what really drove this company to develop workarounds

0:22:37.280 --> 0:22:39.159
<v Speaker 10>do a lot more with less, and that's become a

0:22:39.200 --> 0:22:41.560
<v Speaker 10>sort of founding DNA of a lot of the Chinese

0:22:41.560 --> 0:22:43.439
<v Speaker 10>startups that we've talked to, a lot of these what

0:22:43.480 --> 0:22:46.880
<v Speaker 10>are called AI dragons across Beijing and Hangzhou that are

0:22:46.920 --> 0:22:50.400
<v Speaker 10>doing a lot more with a less access to compute.

0:22:50.480 --> 0:22:52.480
<v Speaker 10>And I think that that's you know, I think the

0:22:52.520 --> 0:22:54.600
<v Speaker 10>other sort of component of that is they almost have

0:22:54.720 --> 0:22:58.560
<v Speaker 10>this national pride that we've heard resonate throughout our interviews

0:22:58.720 --> 0:23:00.920
<v Speaker 10>that really doesn't exist in the US in quite the

0:23:00.960 --> 0:23:04.000
<v Speaker 10>same way. No one's you know, quite as excited or

0:23:04.119 --> 0:23:06.879
<v Speaker 10>you know, we don't think of Sam Altman necessarily as

0:23:06.920 --> 0:23:09.560
<v Speaker 10>a celebrity as the same way as in China. People

0:23:10.000 --> 0:23:13.040
<v Speaker 10>descend on that campus, the Deep Seek office just to

0:23:13.080 --> 0:23:15.280
<v Speaker 10>see pictures of him. It seems like a national hero

0:23:15.680 --> 0:23:18.840
<v Speaker 10>they are, just because he's over able to overcome these constraints,

0:23:19.359 --> 0:23:21.359
<v Speaker 10>And I think that's a really interesting component of the

0:23:21.680 --> 0:23:23.879
<v Speaker 10>AI scene in China, which we don't have puite in

0:23:23.880 --> 0:23:24.320
<v Speaker 10>the US.

0:23:24.640 --> 0:23:27.520
<v Speaker 5>So about forty five seconds here, what's to prevent the

0:23:27.560 --> 0:23:29.720
<v Speaker 5>AI companies here in the US doing the same thing

0:23:29.720 --> 0:23:30.520
<v Speaker 5>that deep Seek does.

0:23:32.440 --> 0:23:34.600
<v Speaker 10>There's really not I mean, that's one of the things

0:23:34.640 --> 0:23:37.800
<v Speaker 10>that you know, they did make their models open source

0:23:37.840 --> 0:23:40.800
<v Speaker 10>for so the most part they did, you know, unveil

0:23:40.840 --> 0:23:42.879
<v Speaker 10>some of their secret sauce, but they didn't quite explain

0:23:42.920 --> 0:23:45.600
<v Speaker 10>all the techniques and how they did them under the hood.

0:23:45.800 --> 0:23:47.320
<v Speaker 10>But that said, yes, I mean that was part of

0:23:47.320 --> 0:23:49.840
<v Speaker 10>the really compelling things. By making this model open source,

0:23:50.160 --> 0:23:52.439
<v Speaker 10>they really have this ethos. One of the first quotes

0:23:52.480 --> 0:23:56.440
<v Speaker 10>they put with their first public announcement was takis cheap,

0:23:56.480 --> 0:23:58.960
<v Speaker 10>show me the code. And so they have this really aggressive,

0:23:59.200 --> 0:24:01.280
<v Speaker 10>let me prove it to you attitude that I think

0:24:01.320 --> 0:24:04.240
<v Speaker 10>in the in the US space, with these proprietary models,

0:24:04.320 --> 0:24:07.160
<v Speaker 10>they're not willing to do. And I think the difference

0:24:07.160 --> 0:24:09.360
<v Speaker 10>here is that Deep Seek having an open source approach

0:24:09.400 --> 0:24:13.399
<v Speaker 10>is really putting the pressure on Google and OpenEye to

0:24:13.720 --> 0:24:16.960
<v Speaker 10>do something similar or at least undercut the costs of

0:24:17.000 --> 0:24:19.560
<v Speaker 10>their models, and you can get the same completing power

0:24:19.760 --> 0:24:22.080
<v Speaker 10>for thirty six dollars through deep Seek, as it would

0:24:22.119 --> 0:24:23.680
<v Speaker 10>cost one thousand dollars in open AI.

0:24:24.200 --> 0:24:25.440
<v Speaker 3>All right, Austin, thank you so much.

0:24:25.440 --> 0:24:29.480
<v Speaker 2>Fascinating story, Austin Car Technology Reporter four Bloomberg, Bloomberg News,

0:24:30.480 --> 0:24:32.320
<v Speaker 2>and you can read all that story on the Bloomberg

0:24:32.359 --> 0:24:34.240
<v Speaker 2>termin on Bloomberg dot com slash Big Take.

0:24:34.800 --> 0:24:39.480
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