WEBVTT - US Manufacturing Activity Contracted in May for a Third Month 

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<v Speaker 1>Bloomberg Audio Studios, podcasts, radio news. You're listening to the

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<v Speaker 2>Gonna right to Susan Spence. She's the chair of ISM Manufacturing.

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<v Speaker 2>Susan talk to us about this. ISM Manufacturing came out

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<v Speaker 2>at forty eight point five. The consensus was forty nine

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<v Speaker 2>point five. Tell us what's going on?

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<v Speaker 3>Good morning, Thank you for having me on.

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<v Speaker 4>You know, unfortunately we have another month of contraction abouzero

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<v Speaker 4>point two percent lower than last month, so forty eight

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<v Speaker 4>point five.

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<v Speaker 3>We are absolutely under consensus.

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<v Speaker 4>What we're seeing and what our panelists are telling us,

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<v Speaker 4>of course, is a continued issue with uncertainty in the

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<v Speaker 4>market driven by terrorists. So this month, if I can

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<v Speaker 4>talk about demand, outputs, and input, it's demand which is

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<v Speaker 4>new orders, customer inventory, backlog, and new export orders. Three

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<v Speaker 4>of those four indicators continue to contract. Backlog and new

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<v Speaker 4>orders contracted a bit slower this month at a slower rate.

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<v Speaker 3>New export orders.

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<v Speaker 4>Not surprisingly took another plunge in an accelerated reduction at

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<v Speaker 4>a three percentage points lower. So, in our view, the

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<v Speaker 4>lack of new orders driven by that uncertain demand from

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<v Speaker 4>the marketplace demand, the conflicts of who's going to pay

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<v Speaker 4>for the tariff costs. The customer index for inventories does

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<v Speaker 4>remain low.

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<v Speaker 3>We always consider that positive.

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<v Speaker 4>At some point customers have to reorder, and so we're

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<v Speaker 4>hoping to see that.

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<v Speaker 3>But that continues to contract.

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<v Speaker 4>So our in our survey, eighty six percent of the

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<v Speaker 4>general comments from our panelists were about the terriffs.

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<v Speaker 3>It was eighty two percent last month. It just continues

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<v Speaker 3>to grow. It's not gotten any better, and certainty is

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<v Speaker 3>even worse.

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<v Speaker 5>Susan, Susan, do you get the sense that if some

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<v Speaker 5>of the tariff headwinds were removed, things get better quickly

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<v Speaker 5>or is this sort of permanent confusion in the manufacturing sector.

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<v Speaker 3>It's not permanent, but it's not quick.

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<v Speaker 4>So we think if tomorrow everything was settled, and of

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<v Speaker 4>course it won't be.

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<v Speaker 3>We think we're in this for at least the summer.

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<v Speaker 3>It's going to take some time. We already have.

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<v Speaker 4>Some inventory at the higher prices customers, again, is indicated

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<v Speaker 4>by the survey results.

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<v Speaker 3>Are hesitating to order, and so that is driven down. Production,

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<v Speaker 3>backlog is down, and I'll talk about production and employment

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<v Speaker 3>as well. So we're in it for a bit. The

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<v Speaker 3>best thing that could happen is certainty.

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<v Speaker 4>And then my personal belief is it's still going to

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<v Speaker 4>take a few months for folks to not wait for

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<v Speaker 4>the other shoe to drop.

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<v Speaker 2>If you will, Susan, thank you so much for give

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<v Speaker 2>us a couple of minutes of your time. Susan Spence,

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<v Speaker 2>Chair for Ism Manufacturing PMI, the Institute for Supply Management,

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<v Speaker 2>joining us here. Weaker than expected manufacturing numbers coming out

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<v Speaker 2>this month.

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

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<v Speaker 1>weekdays at ten am Eastern on Applecarplay and Android Auto

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<v Speaker 2>The last time we saw Sam Fazzelli, who's the director

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<v Speaker 2>of research and does some of the healthcare stuff for

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<v Speaker 2>Bloomberg Intelligence, he was here in New York and he

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<v Speaker 2>was on his way to Chicago to some conference where

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<v Speaker 2>a lot of these healthcare folks get together and they

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<v Speaker 2>talk about new drugs and new therapies, and he said,

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<v Speaker 2>watch out, there's going to be some deals coming out

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<v Speaker 2>of there.

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<v Speaker 6>Boy was he right.

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<v Speaker 2>Santa Fe buying immunology biotech Blueprint for nine point one billion,

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<v Speaker 2>Bristol to pay buy in Tech up to eleven billion

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<v Speaker 2>dollars for a cancer deal. Moderner is getting some new news.

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<v Speaker 2>So we got to get Sam here. He's still in Chicago.

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<v Speaker 2>He's at our Chicago office there, Sam, thanks so much

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<v Speaker 2>for joining us here. We've had some deals today in

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<v Speaker 2>the healthcare space. Help us think about this centi feed

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<v Speaker 2>deal here. Nine point one billion dollars. That seems pretty substantial.

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<v Speaker 7>Yeah, well it's more than I have in the back

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<v Speaker 7>of my sofa if you like, and you know the

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<v Speaker 7>little change that you find there. But this sector needs these.

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<v Speaker 7>I mean, we've had a drought of deals since Johnson

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<v Speaker 7>and Johnson did interest Sellular Therapeutics, and then we've got

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<v Speaker 7>this deal now. And the sector, as I'm sure you've

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<v Speaker 7>talked about we've talked about, has been under pressure because

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<v Speaker 7>of all the new issues that are being created for

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<v Speaker 7>them with the current administration, and that really slowed down

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<v Speaker 7>deal making. So it's nice to see this deal happen.

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<v Speaker 7>Not the biggest premium in the world twenty seven billion dollars.

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<v Speaker 7>But still, it's nice to see some of these deals happen,

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<v Speaker 7>and I think, assuming we don't get another round of

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<v Speaker 7>tariffs for farmer drugs and most favored nation conversations turning up,

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<v Speaker 7>it might be the beginning of a little renaissance in

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<v Speaker 7>deal making.

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<v Speaker 5>What was the absolute coolest thing that you learned over

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<v Speaker 5>the weekend?

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<v Speaker 8>I mean, I was.

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<v Speaker 5>Floored yesterday I was sitting and thinking of you and

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<v Speaker 5>reading all these amazing articles coming out about these amazing

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<v Speaker 5>new drugs that could have tremendous effect on cancer.

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<v Speaker 8>For example, what was the coolest thing you heard?

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<v Speaker 7>Yeah, so, Alex, there's been some continued evolution an increase

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<v Speaker 7>in opportunities in breast cancer. So AstraZeneca had two presentations

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<v Speaker 7>yesterday at what they called plenary sessions, and that's one

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<v Speaker 7>of the key areas where I mean the room gets

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<v Speaker 7>packed with ten thousand people or whatever the number is.

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<v Speaker 7>So they had an update on a breast cancer drug

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<v Speaker 7>which is continuing to further expand the options that patients

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<v Speaker 7>when it gets approved. If it gets approved, patients have

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<v Speaker 7>in treating that disease, which has become something that a

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<v Speaker 7>lot of people as long as they're lucky and don't

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<v Speaker 7>get the worst kind of it, it can live with

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<v Speaker 7>for quite a long time now. And then we had

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<v Speaker 7>one also from them on gastric This the guest stories

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<v Speaker 7>of digital junction disease, which is not one of the

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<v Speaker 7>is a bad one and there's not been many therapies there,

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<v Speaker 7>and so that was a really good, very good data set,

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<v Speaker 7>I have to say, practice changing. And there's a whole

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<v Speaker 7>host of phase one, phase two early stage drugs that

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<v Speaker 7>look really good. So I'm going to be coming to

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<v Speaker 7>this conference for I don't know how many more years

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<v Speaker 7>because it's going to keep developing.

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<v Speaker 2>Bristol paying Buy and Tech up to eleven point one

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<v Speaker 2>billion dollars for cancer deals. What's going on there?

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<v Speaker 7>Yeah, up to is the operative word. The actually guaranteed

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<v Speaker 7>cash is about three and a half billion dollars, so

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<v Speaker 7>about one and a half billion right up front, and

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<v Speaker 7>then when the deal closes, and then by twenty twenty

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<v Speaker 7>eight another two billion. That's not contingent on any there

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<v Speaker 7>are just anniversary payments, payments. So that's pretty good given

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<v Speaker 7>that they acquired the asset, amongst the whole host of

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<v Speaker 7>other stuff from a Chinese biotech company acquisition by a

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<v Speaker 7>theist only a few months ago, and it's in a

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<v Speaker 7>new class of drugs that people have got excited about.

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<v Speaker 7>There's Mark that did a deal, There's Summit and Akiso.

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<v Speaker 7>Fizer just did a deal on last week, paying one

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<v Speaker 7>point two billion dollars for a drug in development, which

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<v Speaker 7>we quite like. The data for that was presented here.

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<v Speaker 7>So these are drugs that are trying to push the

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<v Speaker 7>barrier of what we've been able to achieve, which with

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<v Speaker 7>what's called immunotherapy, can you do better? Can you push

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<v Speaker 7>more patients to survive longer using these drugs?

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<v Speaker 8>What about Oh wow, I just lost my train of thought.

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<v Speaker 5>Oh it was there, it was so brilliant, and then

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<v Speaker 5>it went away.

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<v Speaker 8>Oh I know. Funding, here's my brilliant point.

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<v Speaker 5>Government funding for universities that have big medical units.

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<v Speaker 8>Like did What were people saying about that?

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<v Speaker 7>Yeah, they're not happy. I've talked to a lot of

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<v Speaker 7>people here and you know, even my interestingly an uber

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<v Speaker 7>driver that I had who does double just doubles up.

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<v Speaker 7>She works in a lab that does genomic analysis for

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<v Speaker 7>scientists at Northwestern University in Chicago. She said she's noticing

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<v Speaker 7>a palpable slowdown in the request she's getting to do

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<v Speaker 7>analysis of you know, laboratory analysis because people are uncertain.

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<v Speaker 7>It's even got to yuber driver, which is which is

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<v Speaker 7>sad now it is it is a problem. People are

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<v Speaker 7>worried and will We'll have to see whether philanthropists can

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<v Speaker 7>fill the gap.

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<v Speaker 2>Sam, So from your conference there in Chicago, what's is

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<v Speaker 2>the key focus still cancer or is there other parts

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<v Speaker 2>of healthcare that are getting as much I guess attention.

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<v Speaker 7>Yeah, but so this is a cancer conference. This is

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<v Speaker 7>the biggest cancer conference in the world. People come from

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<v Speaker 7>and I have to say there's a palpable increase in

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<v Speaker 7>the number of presentations by Chinese scientists, real and companies. Yeah,

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<v Speaker 7>every year's got more and more, which is expected. They've

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<v Speaker 7>been funding research significantly for the past fifteen twenty years

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<v Speaker 7>and this is the fruits of it. The X conference

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<v Speaker 7>that's coming up is a also. I don't think it's

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<v Speaker 7>in Chicago, but it's over here somewhere in the US.

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<v Speaker 7>Is the American Diabetes That's where you get all the obesity,

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<v Speaker 7>liver disease kind of data that that we're also looking

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<v Speaker 7>forward to.

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<v Speaker 2>All right, Sam, thanks so much for joining us. As always,

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<v Speaker 2>Sam Fizzelli, Director of Research for Global and Industries and

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<v Speaker 2>Senior Pharmaceuticals Anels for Bloomberg Intelligence. He's based in London,

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<v Speaker 2>but he's in our Chicago bureau todays. He spent the

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<v Speaker 2>weekend Eddie as he was just mentioning a cancer conference

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<v Speaker 2>and where you know, a lot of the latest science

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<v Speaker 2>is presented, so and in for investors, it's really important

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<v Speaker 2>to think about how you know which things which I guess,

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<v Speaker 2>therapies and drugs you want to finance?

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<v Speaker 7>Mean work?

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<v Speaker 8>Does Sammon have the coolest job? Like media is really

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<v Speaker 8>cool to one of the people.

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<v Speaker 5>Energy is really cool. We all love it, but like

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<v Speaker 5>his stuff like changes the world and.

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<v Speaker 2>He actually understands the science and can explain it to

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<v Speaker 2>people like us.

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

0:09:58.520 --> 0:10:01.920
<v Speaker 1>weekdays at ten am Eastern on Applecarplay and Android Auto

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<v Speaker 1>with the Bloomberg Business app. Listen on demand wherever you

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<v Speaker 1>get your podcasts, or watch us live on YouTube at alex.

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<v Speaker 2>Deal and Paul Sweeney live here in our Bloomberg and

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<v Speaker 2>Arrector Broker Studio streaming live on YouTube as well as

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<v Speaker 2>John was just reporting SMP at fifty nine hundred. I mean,

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<v Speaker 2>after all ups and downs this year, pretty much year

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<v Speaker 2>to date, we're unched on the S and P five hunderd.

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<v Speaker 2>It feels like a lot of effort for not a

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<v Speaker 2>lot of payoff there. Shane Sissel joins US president and

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<v Speaker 2>CEO of ban Rion Capital Management from Chicago, Shana. How

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<v Speaker 2>do you put twenty twenty five year to date into

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<v Speaker 2>context for your clients, because boy, we were down twenty percent.

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<v Speaker 2>Now we've retraced most of that from the recent highs.

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<v Speaker 2>How do you position the twenty twenty five Well, I.

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<v Speaker 9>Went into twenty twenty five thinking it was going.

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<v Speaker 3>To be volatile.

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<v Speaker 9>It lived up to my expectations, so we positioned portfolios

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<v Speaker 9>for volatility and did quite well as a result. Ultimately,

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<v Speaker 9>what come down to is as more and more information

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<v Speaker 9>gets out. We have this twenty four hour news cycle,

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<v Speaker 9>and people get information in real time. The markets are

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<v Speaker 9>able to respond to news quickly. But more importantly, we've

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<v Speaker 9>seen that the retail advisor has been eager to jump

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<v Speaker 9>into the market when it turns downward, which is unusual.

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<v Speaker 3>That's not normally the case.

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<v Speaker 9>It's typically the institutions, and we've seen that kind of

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<v Speaker 9>reversed where the institutions are holding off while the retail

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<v Speaker 9>investors are jumping in, and ultimately that's kept the markets

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<v Speaker 9>from getting too far down and they're able to rebound

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<v Speaker 9>pretty quickly.

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<v Speaker 8>Basically.

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<v Speaker 9>You know, if you look in the past, normally we

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<v Speaker 9>look for the capitulation of the retail advisor, and we

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<v Speaker 9>just haven't seen that. So for those reasons, that's why

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<v Speaker 9>I think there's been such great volatility.

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<v Speaker 5>But on the flip side, you have to wonder, then

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<v Speaker 5>who else is left to buy the rally? So where

0:11:56.280 --> 0:12:00.320
<v Speaker 5>how our funds positioned institutional investors. Clearly retail has been

0:12:00.360 --> 0:12:02.360
<v Speaker 5>buying the dip, so as you mentioned, there may not

0:12:02.440 --> 0:12:03.920
<v Speaker 5>be an extension of that.

0:12:05.240 --> 0:12:08.839
<v Speaker 9>Yeah, but the institutional investors have sat on the sidelines,

0:12:08.880 --> 0:12:11.000
<v Speaker 9>and presently they have the bigger money to put to

0:12:11.080 --> 0:12:13.200
<v Speaker 9>work and more likely to move the market when they

0:12:13.280 --> 0:12:15.920
<v Speaker 9>jump back in. There's still very much on the sidelines,

0:12:16.600 --> 0:12:19.240
<v Speaker 9>so I think there is some opportunity to drive the

0:12:19.280 --> 0:12:22.560
<v Speaker 9>market higher. It's just not how we normally would expect

0:12:22.559 --> 0:12:22.880
<v Speaker 9>it to be.

0:12:23.120 --> 0:12:24.360
<v Speaker 3>It's also a little bit concerning.

0:12:24.440 --> 0:12:28.199
<v Speaker 9>Obviously, the institutional investor tends to be the more informed investor,

0:12:28.800 --> 0:12:30.839
<v Speaker 9>so the fact that they have stayed on the sidelines

0:12:31.600 --> 0:12:33.680
<v Speaker 9>can mean a lot of things, but it's not for

0:12:33.800 --> 0:12:36.640
<v Speaker 9>lack of information on their end and lack of analysis.

0:12:37.360 --> 0:12:40.400
<v Speaker 9>But you know, if we talk about analysis paralysis all

0:12:40.440 --> 0:12:44.640
<v Speaker 9>the time, there's a lot of uncertainty related to tariffs,

0:12:44.960 --> 0:12:49.040
<v Speaker 9>related to the administration, related to monetary policy, and I

0:12:49.080 --> 0:12:52.719
<v Speaker 9>think that in many ways the institutional investor is a

0:12:52.720 --> 0:12:56.960
<v Speaker 9>little paralyzed by the uncertainty and for those reasons unwilling

0:12:56.960 --> 0:12:59.120
<v Speaker 9>to jump into the market, which I think might be

0:12:59.200 --> 0:12:59.840
<v Speaker 9>to their peril.

0:13:00.600 --> 0:13:02.000
<v Speaker 2>Shana, I know you do a lot of work with

0:13:02.000 --> 0:13:05.640
<v Speaker 2>alternative investments. When you speak to independent advisors, how are

0:13:05.640 --> 0:13:09.880
<v Speaker 2>they using alternatives these days when volatility both in the

0:13:09.920 --> 0:13:13.480
<v Speaker 2>equity markets and the bond markets are pretty pronounced.

0:13:13.960 --> 0:13:19.160
<v Speaker 9>Well, that's exactly where they use alternatives. If advisors or

0:13:19.200 --> 0:13:23.160
<v Speaker 9>individuals where to jump and allocate twenty percent of their

0:13:23.160 --> 0:13:26.440
<v Speaker 9>total portfolio two alternatives, they would have actually done quite

0:13:26.440 --> 0:13:28.760
<v Speaker 9>well through the volatility, as these are low to no

0:13:28.880 --> 0:13:32.720
<v Speaker 9>correlation or even in some cases negative correlation assets. And

0:13:32.800 --> 0:13:35.800
<v Speaker 9>so if you look at the most volatile parts of

0:13:36.040 --> 0:13:40.520
<v Speaker 9>the last five months, you look at March, some of April,

0:13:41.160 --> 0:13:44.840
<v Speaker 9>some of February, you'll see that like a BTL, which

0:13:44.880 --> 0:13:47.840
<v Speaker 9>is the AGF anti beta market neutral fund. That fund

0:13:48.920 --> 0:13:52.760
<v Speaker 9>largely outperformed the S and P by a substantial amount,

0:13:52.960 --> 0:13:55.160
<v Speaker 9>was very positive during that period of time. So even

0:13:55.200 --> 0:13:58.240
<v Speaker 9>a small five percent allocation made a huge difference in

0:13:58.240 --> 0:14:00.840
<v Speaker 9>client portfolios. And then you start to pair that with

0:14:01.040 --> 0:14:05.520
<v Speaker 9>other low to no correlation assets like CTA and CBLS

0:14:05.520 --> 0:14:11.439
<v Speaker 9>and MRSK, and then you have Bob Elliott's unlimited multistrat fund,

0:14:11.679 --> 0:14:15.720
<v Speaker 9>and you have a number of these alternative funds that

0:14:15.760 --> 0:14:18.559
<v Speaker 9>all did really well through the volatility. So when equities

0:14:18.600 --> 0:14:21.160
<v Speaker 9>and fixed income were down, they were up, and so

0:14:21.240 --> 0:14:23.680
<v Speaker 9>that actually helped you through the volatilities. So advisors that

0:14:23.720 --> 0:14:26.880
<v Speaker 9>we work with that implemented those portfolios actually wrote out

0:14:26.880 --> 0:14:28.760
<v Speaker 9>that period of time quite well.

0:14:28.960 --> 0:14:31.600
<v Speaker 5>I know that where you look at in the tech

0:14:31.640 --> 0:14:34.560
<v Speaker 5>market isn't necessarily broad strokes or you know, buy AI

0:14:34.880 --> 0:14:38.240
<v Speaker 5>or buy the telecoms or whatever, but the mag seven

0:14:38.320 --> 0:14:41.000
<v Speaker 5>have really helped to lead that rally over the last month.

0:14:41.680 --> 0:14:44.120
<v Speaker 5>Does that continue or do you continue to see value

0:14:44.200 --> 0:14:45.440
<v Speaker 5>in different types of names?

0:14:46.240 --> 0:14:48.920
<v Speaker 9>Well, obviously I see value in different types of names

0:14:48.960 --> 0:14:53.040
<v Speaker 9>as they haven't participated and they are looking more attractive on.

0:14:53.000 --> 0:14:54.200
<v Speaker 8>A valuation basis.

0:14:54.520 --> 0:14:57.480
<v Speaker 9>But the tailwinds really do sit with those tech companies

0:14:57.520 --> 0:15:01.680
<v Speaker 9>because the biggest tailwind to business right now is AI,

0:15:02.160 --> 0:15:06.080
<v Speaker 9>and so anything related to AI, anything incorporating AI wins.

0:15:06.520 --> 0:15:09.920
<v Speaker 9>And so we saw with the mag seven, with the

0:15:09.920 --> 0:15:14.840
<v Speaker 9>most recent Nvidia earnings report that the demand for AI

0:15:15.040 --> 0:15:21.120
<v Speaker 9>is strong and the move to from learning and to

0:15:22.000 --> 0:15:25.680
<v Speaker 9>the next phase of AI is there, and so the

0:15:25.680 --> 0:15:29.680
<v Speaker 9>Blackwell chips, the greater need for computing power. All of

0:15:29.720 --> 0:15:33.000
<v Speaker 9>those things are real and very much in their infancy

0:15:33.160 --> 0:15:36.960
<v Speaker 9>and the sense of that there's no infrastructure there, and

0:15:37.000 --> 0:15:40.160
<v Speaker 9>so there continues to be substantial tailwinds, and so that's

0:15:40.200 --> 0:15:42.760
<v Speaker 9>why they continue to lead. You know, other areas of

0:15:42.800 --> 0:15:46.000
<v Speaker 9>the market have headwinds. So if you look at say energy,

0:15:46.440 --> 0:15:50.360
<v Speaker 9>you know, we have increased supply coming on, but we

0:15:50.480 --> 0:15:55.240
<v Speaker 9>have you know, declining demand from Asia. So that is

0:15:55.320 --> 0:15:57.680
<v Speaker 9>great if you want oil at forty bucks barrel, but

0:15:57.760 --> 0:15:59.960
<v Speaker 9>not great if you're an oil investor or an enery

0:16:00.080 --> 0:16:03.080
<v Speaker 9>G investor. You look at healthcare and we've seen a

0:16:03.120 --> 0:16:06.600
<v Speaker 9>lot of headwindes there but also some tremendous breakthroughs, and

0:16:06.760 --> 0:16:10.720
<v Speaker 9>especially in oncology, so you know, there's pros and constant everything,

0:16:10.760 --> 0:16:12.760
<v Speaker 9>but some of the cyclicals are starting to look cheap,

0:16:12.800 --> 0:16:14.720
<v Speaker 9>and that's definitely a place that I would be looking.

0:16:15.000 --> 0:16:17.080
<v Speaker 8>All right, Shanna, I really appreciate. I appreciate it. Always

0:16:17.080 --> 0:16:17.920
<v Speaker 8>good to get your perspective.

0:16:17.920 --> 0:16:21.640
<v Speaker 5>Shane sissel As, President and CEO of Benryon Capital Management.

0:16:23.320 --> 0:16:27.000
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:16:27.080 --> 0:16:30.160
<v Speaker 1>weekdays at ten am Eastern on Apple, Coarclay, and Android

0:16:30.200 --> 0:16:33.480
<v Speaker 1>Auto with the Bloomberg Business App. Listen on demand wherever

0:16:33.560 --> 0:16:36.680
<v Speaker 1>you get your podcasts, or watch us live on YouTube.

0:16:36.920 --> 0:16:39.600
<v Speaker 5>This is Boomberg Intelligence. Alex Steel here alongside Paul swe Need.

0:16:39.600 --> 0:16:41.800
<v Speaker 5>This is Boomberg Intelligence Radio. We cover everything you need

0:16:41.840 --> 0:16:44.080
<v Speaker 5>to know in business, economics and finance, a lot of

0:16:44.120 --> 0:16:46.600
<v Speaker 5>media and also a lot of energy. So I don't

0:16:46.640 --> 0:16:49.640
<v Speaker 5>know that much about fusion power. I'm the first one

0:16:49.640 --> 0:16:51.800
<v Speaker 5>to say it. John Tucker apparently knows a lot about it.

0:16:51.800 --> 0:16:54.080
<v Speaker 5>But we're going to discuss this right now. It could

0:16:54.120 --> 0:16:56.479
<v Speaker 5>be a really good source.

0:16:56.240 --> 0:16:57.440
<v Speaker 8>Of clean fuel.

0:16:57.480 --> 0:17:02.120
<v Speaker 5>And for this we bring in tay Technology CEO Michael Binderbauer.

0:17:03.080 --> 0:17:05.359
<v Speaker 5>Just the company, Tay Technology is just closed one hundred

0:17:05.359 --> 0:17:07.600
<v Speaker 5>and fifty million dollars sin its latest funding round. The

0:17:07.640 --> 0:17:10.400
<v Speaker 5>whole point of this company is to develop a commercial

0:17:10.760 --> 0:17:15.000
<v Speaker 5>fusion power Michael, if I knew nothing about fusion, which

0:17:15.000 --> 0:17:16.760
<v Speaker 5>is highly likely, tell me.

0:17:16.880 --> 0:17:18.880
<v Speaker 8>What it is, how hard it is to do.

0:17:20.320 --> 0:17:22.840
<v Speaker 10>Yeah, So it's basically what nature does, based right, It

0:17:22.920 --> 0:17:25.440
<v Speaker 10>gives us our life and energy here on the planet

0:17:25.480 --> 0:17:28.360
<v Speaker 10>from the sun. So any star you look up suffusion

0:17:28.359 --> 0:17:31.040
<v Speaker 10>reactor basically, right. So what we're trying to do is

0:17:31.080 --> 0:17:36.080
<v Speaker 10>to replicate that, terristrially, to make essentially copious power, carbon free,

0:17:36.320 --> 0:17:39.560
<v Speaker 10>clean and sustainable for the future of humanity.

0:17:40.200 --> 0:17:44.680
<v Speaker 2>Where are you in the process at tay So we're

0:17:44.760 --> 0:17:45.320
<v Speaker 2>very close.

0:17:45.400 --> 0:17:47.560
<v Speaker 10>We're just one machine a way to get to a

0:17:47.560 --> 0:17:49.960
<v Speaker 10>point where we actually harvest more energy than what we're

0:17:49.960 --> 0:17:53.520
<v Speaker 10>putting into the facility. This has been obviously a long journey.

0:17:53.560 --> 0:17:55.639
<v Speaker 10>It's hard to do, terrist Really, the stars have a

0:17:55.680 --> 0:17:56.360
<v Speaker 10>lot of gravity.

0:17:56.400 --> 0:17:57.119
<v Speaker 8>We don't have that.

0:17:57.200 --> 0:18:00.120
<v Speaker 10>We to use other means, magnets and all sorts of things,

0:18:00.160 --> 0:18:02.440
<v Speaker 10>and as you've probably seen over the last few years,

0:18:02.480 --> 0:18:05.600
<v Speaker 10>has been a playthrow of news inching really really close

0:18:05.600 --> 0:18:08.199
<v Speaker 10>to the goal and across multiple efforts on the planet.

0:18:08.280 --> 0:18:11.040
<v Speaker 10>So we're about a three year way to get tonate

0:18:11.160 --> 0:18:14.560
<v Speaker 10>energy and somewhere early twenty thirties, we hopefully have a

0:18:14.560 --> 0:18:15.639
<v Speaker 10>power plant online.

0:18:16.880 --> 0:18:18.840
<v Speaker 5>What would be if you're able to achieve it and

0:18:18.880 --> 0:18:21.560
<v Speaker 5>have a power plant? Like what is that? Is that

0:18:21.680 --> 0:18:24.919
<v Speaker 5>just tremendous amount of energy with like no footprint.

0:18:26.320 --> 0:18:28.840
<v Speaker 10>Yeah, it's very small footprint. So it's the highest energy

0:18:28.840 --> 0:18:31.600
<v Speaker 10>density fuel you can have, by the factor of five

0:18:31.720 --> 0:18:35.879
<v Speaker 10>to ten, higher than fission. Even it utilizes hydrogen or

0:18:36.040 --> 0:18:40.119
<v Speaker 10>light species that are ubiquitous, So there's infinite fuel supply

0:18:40.160 --> 0:18:43.120
<v Speaker 10>if you will, and you would harvest clean energy out

0:18:43.160 --> 0:18:45.720
<v Speaker 10>of that at probably starting at a scale of a

0:18:45.760 --> 0:18:48.359
<v Speaker 10>gas fired turbine, so something like four or five hundred

0:18:48.359 --> 0:18:51.560
<v Speaker 10>makawatts per plant, and it would literally be able to

0:18:51.560 --> 0:18:53.800
<v Speaker 10>distribute wherever you needed it in the grid.

0:18:54.680 --> 0:18:54.879
<v Speaker 6>Is there?

0:18:55.200 --> 0:19:00.240
<v Speaker 2>Can you talk about the economics surrounding this technologlogy?

0:19:00.280 --> 0:19:02.520
<v Speaker 8>Who would be the who would be the users.

0:19:02.240 --> 0:19:04.520
<v Speaker 2>The buyers, the developers of this technology?

0:19:05.560 --> 0:19:07.520
<v Speaker 10>Yeah, so I think what we're seeing and this gets

0:19:07.600 --> 0:19:10.719
<v Speaker 10>to what we just announced today. Aside from raising capital,

0:19:10.760 --> 0:19:14.080
<v Speaker 10>we really have a long partnership with Google and they've

0:19:14.080 --> 0:19:16.480
<v Speaker 10>been deep with us on machine learning and tools to

0:19:16.560 --> 0:19:20.520
<v Speaker 10>help make this more efficient and more economic, and in fact,

0:19:20.640 --> 0:19:23.280
<v Speaker 10>they would be a great first off taker for that right,

0:19:23.440 --> 0:19:27.960
<v Speaker 10>all the hyperscalers. Everybody that has high energy intens applications

0:19:28.359 --> 0:19:31.080
<v Speaker 10>growing at tremendous rates, right with a gap between supply

0:19:31.119 --> 0:19:35.440
<v Speaker 10>and demand developing, is looking for electrons and particularly green electrons.

0:19:35.440 --> 0:19:37.679
<v Speaker 10>So those would be probably the first off takers for

0:19:37.760 --> 0:19:38.520
<v Speaker 10>the technology.

0:19:38.760 --> 0:19:41.680
<v Speaker 5>Oh, I got to ask you, John Tucker, he likes

0:19:41.680 --> 0:19:42.119
<v Speaker 5>his fusion.

0:19:42.320 --> 0:19:45.159
<v Speaker 6>What sets you apart from ETR in terms of the

0:19:45.520 --> 0:19:50.639
<v Speaker 6>reactor itself, the containment that's a fusion reactor or what?

0:19:51.840 --> 0:19:55.119
<v Speaker 10>Yeah, so good question. So Eater and others are working

0:19:55.160 --> 0:19:57.639
<v Speaker 10>on tokmacs, we actually are not. We're working what you

0:19:57.680 --> 0:20:01.959
<v Speaker 10>see if you have a visual we have a compact machine,

0:20:01.960 --> 0:20:04.280
<v Speaker 10>not the size of gas turbine that can make about

0:20:04.280 --> 0:20:07.679
<v Speaker 10>the same output as those other plants. It's much more

0:20:07.680 --> 0:20:11.320
<v Speaker 10>efficient uses smaller magnets. There's various tricks in the physics

0:20:11.359 --> 0:20:13.639
<v Speaker 10>that allow you to do that, and that brings something

0:20:13.680 --> 0:20:17.240
<v Speaker 10>that's more compact, cheaper to produce, of course, more economic

0:20:17.320 --> 0:20:19.240
<v Speaker 10>to deploy, easier to maintain, etc.

0:20:19.520 --> 0:20:20.000
<v Speaker 8>And you can.

0:20:20.560 --> 0:20:23.320
<v Speaker 10>Essentially it's centralize these. We think we can build those

0:20:23.720 --> 0:20:26.840
<v Speaker 10>sort of cookie cutter in a factory and deploy on site.

0:20:27.040 --> 0:20:29.000
<v Speaker 10>And the other thing I should add is that sighting

0:20:29.320 --> 0:20:32.720
<v Speaker 10>on this compared to the other nuclear cousin, which is fission, right,

0:20:32.840 --> 0:20:36.400
<v Speaker 10>it is a lot easier. There's no meltdown possibility, there's

0:20:36.440 --> 0:20:40.240
<v Speaker 10>no sort of nuclear accident of substance that people would

0:20:40.240 --> 0:20:42.280
<v Speaker 10>have to worry about. It's truly clean and benign, and

0:20:42.320 --> 0:20:44.439
<v Speaker 10>so you can deploy it where you need it in

0:20:44.480 --> 0:20:45.840
<v Speaker 10>a much more straightforward way.

0:20:46.280 --> 0:20:49.080
<v Speaker 6>There's no use of beryllium in that reactor.

0:20:50.240 --> 0:20:53.280
<v Speaker 10>No, no. In fact, ours is using hydrogen and boron,

0:20:54.000 --> 0:20:56.520
<v Speaker 10>both of which are light and super ubiquitous.

0:20:56.840 --> 0:21:01.400
<v Speaker 6>Well deterium as the fuel, right, So the terium.

0:21:01.080 --> 0:21:04.119
<v Speaker 10>Atridium is one fuel cycle that's used by some of

0:21:04.200 --> 0:21:06.920
<v Speaker 10>us in the fusion community, and we can burn that too,

0:21:06.960 --> 0:21:10.639
<v Speaker 10>but we're really focused on hydrogen and boron. Ultimately, that

0:21:10.680 --> 0:21:13.800
<v Speaker 10>turns out that only makes helium, so you have no neutrons,

0:21:13.840 --> 0:21:16.359
<v Speaker 10>you have no radioactivity to speak of. It is just

0:21:16.359 --> 0:21:19.600
<v Speaker 10>a nirvana of energy. Essentially, you get ubigulous fuel in

0:21:20.160 --> 0:21:24.240
<v Speaker 10>no radioactivity or pollution in the process, totally sustainable, and

0:21:24.760 --> 0:21:27.400
<v Speaker 10>we think it will be competitive from a cost perspective.

0:21:27.400 --> 0:21:30.240
<v Speaker 10>It will be probably starting out midfield in current generation

0:21:30.640 --> 0:21:33.280
<v Speaker 10>asset costs, so you're not as cheap as you know

0:21:33.359 --> 0:21:37.159
<v Speaker 10>gas or renewables, but you're not as expensive as fission

0:21:37.240 --> 0:21:39.840
<v Speaker 10>is today is somewhere in the midfield and then trending down.

0:21:40.240 --> 0:21:42.879
<v Speaker 5>Okay, let's pretend that neither of us understood what any

0:21:42.920 --> 0:21:44.800
<v Speaker 5>of you guys were talking about in terms of brilliant.

0:21:45.240 --> 0:21:46.840
<v Speaker 5>That's why we have him, right. He knows a lot

0:21:46.880 --> 0:21:50.000
<v Speaker 5>about a lot of different things. Before we let you go,

0:21:50.200 --> 0:21:53.160
<v Speaker 5>just how hard is it to have gotten to where

0:21:53.200 --> 0:21:53.639
<v Speaker 5>you are?

0:21:53.760 --> 0:21:53.879
<v Speaker 1>Like?

0:21:53.920 --> 0:21:55.679
<v Speaker 8>What has been like the biggest hurdle?

0:21:56.640 --> 0:21:58.560
<v Speaker 10>Oh gosh, it's been an enormous journey. I mean, I've

0:21:58.640 --> 0:22:01.399
<v Speaker 10>aged I started this out high school. I'm said, I

0:22:01.440 --> 0:22:04.760
<v Speaker 10>started out out of graduate school with my brilliant PhD mantur,

0:22:04.800 --> 0:22:07.240
<v Speaker 10>and then it took us about twenty plus years to

0:22:07.280 --> 0:22:10.639
<v Speaker 10>amalgamate the technology around it. There's a lot of esoteric,

0:22:11.000 --> 0:22:17.160
<v Speaker 10>absolutely extreme things you got to master. Power supplies, accelerated technology, diagnostics,

0:22:17.160 --> 0:22:19.800
<v Speaker 10>feedback loops, you know, use a lot of machine learning

0:22:19.800 --> 0:22:21.879
<v Speaker 10>in AI, a lot of we developed together with Google

0:22:21.920 --> 0:22:24.160
<v Speaker 10>in the last decade that can react on the blink

0:22:24.200 --> 0:22:27.320
<v Speaker 10>of an eye to make changes in what happens inside

0:22:27.600 --> 0:22:30.520
<v Speaker 10>and do that reliably and consistently. And so those are

0:22:30.520 --> 0:22:32.600
<v Speaker 10>all the technologies we now have, so now we're putting

0:22:32.600 --> 0:22:34.960
<v Speaker 10>in the last machine. So it's been a long journey

0:22:35.080 --> 0:22:37.200
<v Speaker 10>and developing lots of technology to do that.

0:22:37.720 --> 0:22:39.320
<v Speaker 2>All right, Michael, thank you so much for joining us.

0:22:39.359 --> 0:22:44.480
<v Speaker 2>Michael Bindebauer, CEO of Tay Technologies, joining us there with

0:22:44.560 --> 0:22:48.640
<v Speaker 2>some exciting new technology on the energy front that John

0:22:48.680 --> 0:22:50.040
<v Speaker 2>Tucker's all into, which.

0:22:49.840 --> 0:22:51.680
<v Speaker 8>Is now like insanely impressive.

0:22:51.800 --> 0:22:56.280
<v Speaker 6>Questions were like even nobody understood them, so love it.

0:22:56.320 --> 0:22:58.119
<v Speaker 8>Make it all commercial break, that's true.

0:22:58.359 --> 0:23:03.040
<v Speaker 1>This is the Bloomberg Intelligence podcast, available on Apple, Spotify,

0:23:03.240 --> 0:23:06.720
<v Speaker 1>and anywhere else you get your podcasts. Listen live each

0:23:06.720 --> 0:23:10.480
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0:23:10.600 --> 0:23:14.160
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0:23:14.560 --> 0:23:17.520
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0:23:17.880 --> 0:23:20.160
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