WEBVTT - U.S Services Growth Cools, 10 Companies to Watch

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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>But it's hard to understand, at least for me. The

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<v Speaker 2>ISM Services index. John was just saying comes in a

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<v Speaker 2>bit light. Price is paid coming in light, employment coming

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<v Speaker 2>in light, and new orders coming in light, but like

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<v Speaker 2>some of them are still over expansion. So we've got

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<v Speaker 2>to get to the guy behind the data. Anthony Yavis

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<v Speaker 2>is chair of the Ism Services Business Committee, and he

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<v Speaker 2>is here with us to help break down this data.

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<v Speaker 2>Is this a good report or is this a slowing

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<v Speaker 2>bad report?

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<v Speaker 3>I look at it as being a good report, and

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<v Speaker 3>the reason being, as we know the baseline being fifty,

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<v Speaker 3>we're still experiencing growth month over months. So even though

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<v Speaker 3>we had this pulled back of one point two percentage

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<v Speaker 3>points to the fifty one point four from fifty two

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<v Speaker 3>point six, activity still looks fairly strong. It's up point

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<v Speaker 3>two percentage points and new orders, which tells us what's

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<v Speaker 3>in the pipeline. Did come down one point seven percent,

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<v Speaker 3>but again we're north of the fifty baseline. It's a

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<v Speaker 3>fifty four point four, which indicates that we'll have continued growth.

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<v Speaker 3>As you mentioned in the prelude, that we see employment

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<v Speaker 3>and deliveries of what's pulling down the composite index here.

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<v Speaker 4>So again, as we think about the services part of

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<v Speaker 4>the economy, the major part of the US economy, again

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<v Speaker 4>just for our listeners and our viewers, anything above fifty

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<v Speaker 4>is expansion, So that part of the economy is still expanding,

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<v Speaker 4>is that the way that you think about it.

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<v Speaker 3>Absolutely, And we're measuring change month over a month, So

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<v Speaker 3>what we're seeing is just a slowing in the rate

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<v Speaker 3>of growth. And the employment picture is continues. As I've

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<v Speaker 3>been saying for several months now, it's a mixed bag.

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<v Speaker 3>Forty eight point five, it's down point five percentage points.

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<v Speaker 3>And what the respondents are indicating is that, you know,

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<v Speaker 3>they're very cautious and it's a controllable expense for them,

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<v Speaker 3>and so interesting some of the respondents indicated in their

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<v Speaker 3>comments that even though business activity is still going good,

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<v Speaker 3>that they're not hiring. They're holding back, waiting to see

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<v Speaker 3>how things materialize. In the upcoming months, because as you

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<v Speaker 3>mentioned about pricing, pricing still shows increases month over month.

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<v Speaker 3>It's strong, but it's somewhat stabilizing from where it was

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<v Speaker 3>in the past. And well we see the most volatility

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<v Speaker 3>continues to be in the food items.

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<v Speaker 2>Do you get the impression when you talk to the

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<v Speaker 2>respondents that they're going to have to look at layoffs

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<v Speaker 2>or is it just more about hiring more.

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<v Speaker 3>It's a combination, and it depends on the industry. It

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<v Speaker 3>varies by industry within the sectors within this sector, i

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<v Speaker 3>should say, and you know, certain industries like accommodation and

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<v Speaker 3>food services is continuing to hire, whereas we know with

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<v Speaker 3>the slowdown that we experienced in the past with real

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<v Speaker 3>estate rental and leasing, there you're not hiring.

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<v Speaker 2>All right, Anthony, thanks a lot, We really appreciate it.

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<v Speaker 2>It's always good to get the details here. Anthony Javis

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<v Speaker 2>share of the Ism Business Services Committee again that overall

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<v Speaker 2>index still an expansionary territory, but definitely still slowing down just.

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<v Speaker 5>A little bit.

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<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

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<v Speaker 2>This is Bloomberg Intelligence Radio. We bring you all the

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<v Speaker 2>amazing work from our Bloomberg Intelligence analysts. They cover over

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<v Speaker 2>two thousand companies and one hundred and forty industries all

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<v Speaker 2>around the world. And one of them is named Tim

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<v Speaker 2>Craighead Bloomberg Intelligence Research Director for content fancy title. And

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<v Speaker 2>the reason why is because he came up with a

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<v Speaker 2>really great list along with his teammates about fifty companies

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<v Speaker 2>to why in January they came up with that and

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<v Speaker 2>that was the ones you got to watch for this year.

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<v Speaker 2>And they're now back with ten specifically just for the

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<v Speaker 2>second quarter, based on scenarios from Bloomberg Intelligence. You want

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<v Speaker 2>to get the good apples from the bad apples, cross sector,

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<v Speaker 2>cross regions, and he's here now to help us break

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<v Speaker 2>it down. Hey, Tim, thanks for joining. Okay, so what

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<v Speaker 2>are the top ten?

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<v Speaker 6>So Alex, thanks for having me on a couple of

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<v Speaker 6>things to keep in mind here. Top ten for two Q.

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<v Speaker 6>These are part of a broader set of focus ideas

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<v Speaker 6>that we've got there's roughly seventy five to eighty of

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<v Speaker 6>them right now, across sectors, across regions. These specifically have

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<v Speaker 6>important catalysts coming up into Q that we think can

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<v Speaker 6>bring the market around to our perspective. All of these

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<v Speaker 6>focus ideas have really strong, high conviction fundamental views that

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<v Speaker 6>we think are different from the market, and these catalysts

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<v Speaker 6>should bring that awareness around. It's it's a group of

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<v Speaker 6>US companies. There's four of them. Uh, there's three in Europe,

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<v Speaker 6>three in in Asia, and they span the gamut from healthcare,

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<v Speaker 6>med tech products to big financials to tires. So interesting group.

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<v Speaker 4>And Tim one of the ones that you know, I've

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<v Speaker 4>been kind of thinking about. I just think these Olympics

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<v Speaker 4>in Parish are going to be just huge, and I'm

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<v Speaker 4>thinking that ways to play it. You guys have one

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<v Speaker 4>of them in the lodging space. Talk to us about

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<v Speaker 4>that opportunity.

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<v Speaker 6>Yeah, we do. Acor it's a big French hotel company.

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<v Speaker 6>You might not know Acor, but you probably know some

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<v Speaker 6>of their underlying brands. And you know, anybody who's made

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<v Speaker 6>a hotel booking as of late knows that the prices

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<v Speaker 6>seem to be really high. Surprisingly so that's feeding Acor's

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<v Speaker 6>rev par They're they're pricing, which is playing through into

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<v Speaker 6>profit margins, and the catalyst for these guys is, in fact,

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<v Speaker 6>the Paris Olympics. We should start to see early booking

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<v Speaker 6>data over the course of two Q heading into Summer Olympics.

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<v Speaker 6>Now Paris is only one part of their portfolio. They're

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<v Speaker 6>across Europe and Asia, and we're seeing a strong sustained

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<v Speaker 6>travel recovery story that we think is better than consensus expects.

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<v Speaker 2>But apparently they have to like clean out the send.

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<v Speaker 2>Did you read that that there's so much to you,

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<v Speaker 2>Like can you imagine being an Olympic swimmer and like

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<v Speaker 2>there's garbage hitting you in the send? I mean they're

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<v Speaker 2>working on it.

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<v Speaker 6>They're definitely working on it.

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<v Speaker 5>Okay.

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<v Speaker 2>Your second one is in retail chow Tai Fuk. No

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<v Speaker 2>one's going to know this company here in the US,

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<v Speaker 2>So tell us about it and why this makes the outlook.

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<v Speaker 1>Yep.

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<v Speaker 6>So that and the next one on the list from

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<v Speaker 6>an alphabetical perspective, are both sort of interesting twists on

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<v Speaker 6>the same underlying theme, and that's China. We all know

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<v Speaker 6>that there's problems in China. From the standpoint that the

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<v Speaker 6>property market, and now that's playing through in terms of sentiment,

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<v Speaker 6>uh with the wealth effect on spending plans, et cetera.

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<v Speaker 6>Child Tai Fook is arguably the best known Chinese retailer

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<v Speaker 6>when it comes to jewelry, and it's a big market

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<v Speaker 6>historically for tourists and travelers coming into Hong Kong and

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<v Speaker 6>to make those purchases. In fact, what we're seeing right

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<v Speaker 6>now is Hong kongers are going out of Hong Kong

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<v Speaker 6>across the border in the mainland China to shop for

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<v Speaker 6>pretty much everything because it's cheaper. So you combine that

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<v Speaker 6>with negative sentiment, we think Hong Kong retail sales are

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<v Speaker 6>going to disappoint, and Child Tai Fuk is a poster child.

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<v Speaker 6>The other one, CSC Financial is one of the largest

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<v Speaker 6>Chinese brokerages you know, good old fashioned, you know, wealth management,

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<v Speaker 6>and they are the investment banking business we think is

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<v Speaker 6>set for disappointment because I POS and other new new

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<v Speaker 6>stock listings are way under way, underwater, and you know,

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<v Speaker 6>we think you're going to see investment banking revenue disappoint

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<v Speaker 6>You know.

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<v Speaker 4>I was looking through the list here, Tim, and I

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<v Speaker 4>was looking for a name from Michael Dean and the

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<v Speaker 4>European Autos team, and I think I found one in

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<v Speaker 4>Perelli Tires.

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<v Speaker 6>Yes, indeed, I started to say, if you're an F

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<v Speaker 6>one fan, but that's more from a European perspective than

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<v Speaker 6>NASCAR in the US. But Perelli is a well known

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<v Speaker 6>tire maker and what they're doing is twofold Number one,

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<v Speaker 6>upgrading their mix. They're getting rid of some of their

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<v Speaker 6>lower end products. And number two, they've taken on a

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<v Speaker 6>pretty big initiative to shift production from core Europe to

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<v Speaker 6>places like Romania over here in Mexico over there, all

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<v Speaker 6>of which is driving better margins. And we think that

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<v Speaker 6>this is going to continue more than what consensus currently

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<v Speaker 6>bakes in.

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<v Speaker 4>Plus, it's from one of my favorite analysts over in

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<v Speaker 4>our London office, Gillian Davis, doing some good work there,

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<v Speaker 4>so good stuff.

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<v Speaker 7>Home Building Morrison made the list.

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<v Speaker 2>That's not normally the company you think of when you

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<v Speaker 2>think of like a homebuilder, right, you're thinking Lenar, KB homes,

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<v Speaker 2>et cetera. How does one make a list?

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<v Speaker 6>Yeah, I mean they're they're continuing to expand, specifically in

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<v Speaker 6>some larger developments in Florida and Texas, and it just

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<v Speaker 6>seems to be a case of good old fashioned running

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<v Speaker 6>the numbers with those expansion plans feeding through and their

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<v Speaker 6>order book coming through better than anticipated, where we think

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<v Speaker 6>their positive surprises d but it certainly is you know,

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<v Speaker 6>it is a classic story from the standpoint of expanding

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<v Speaker 6>order books, expanding volumes.

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<v Speaker 4>You know, one name that's onnor that surprising, but I

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<v Speaker 4>think it's a potential rule opportunity. Is Tencent talks about

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<v Speaker 4>big Chinese e commerce because for a lot of people

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<v Speaker 4>tim as you well know, China's kind of taboot right now.

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<v Speaker 4>From an investment perspective.

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<v Speaker 6>It is, especially when it comes to technology and regulatory concerns,

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<v Speaker 6>and you know, beij focusing in on you know, what

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<v Speaker 6>the big tech companies are doing. You know, historically these

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<v Speaker 6>have ten cents driven by online gaming and that growth

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<v Speaker 6>rate is still somewhat muted. But there's more video that's

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<v Speaker 6>coming through. There's AI assisted advertising that is that is growing.

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<v Speaker 6>Both of those are drivers of their income statement that

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<v Speaker 6>we think are underappreciated. We think it's mid teams of

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<v Speaker 6>growth going forward. But if you do the math, the

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<v Speaker 6>market seems to be discounting basically static to maybe low

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<v Speaker 6>single digit growth rates and so there it's just a

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<v Speaker 6>it's just a case where we think the market doesn't

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<v Speaker 6>realize that they're back to having good, solid forward growth.

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<v Speaker 4>Yeah, it's gonna be I mean it could be a

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<v Speaker 4>really interesting story. A lot of folks again really not

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<v Speaker 4>sure how to play that part of the market. Tim Craig,

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<v Speaker 4>thanks for joining us. Always appreciate getting your thoughts. Tim

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<v Speaker 4>craigett Research director for Content. He has also got a

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<v Speaker 4>day job European Equity Streates just and we're appreciating some

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<v Speaker 4>of his times from Bloomberg Intelligence. He's based in our

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<v Speaker 4>London office, the Queen Victoria Street offices, which are just

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<v Speaker 4>awesome right in the City of London, right near the

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<v Speaker 4>Bank of England. You can't get more city of London

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<v Speaker 4>and heart of the financial system in London than the

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<v Speaker 4>Bank of England, and that's where Bloomberg has their offices.

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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 applecar Playing and broud

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<v Speaker 4>Intel disappointing outlooks, dock down seven percent. It's one of

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<v Speaker 4>those chip makers that's really bucking the trend here. It's

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<v Speaker 4>down nineteen percent a year to date, while you got

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<v Speaker 4>some of the others, Nvidia Broadcom putting up just extraordinary gains.

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<v Speaker 4>So it feels like it's Intel's missing that. So let's

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<v Speaker 4>break it down a little bit more for Intel, the

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<v Speaker 4>chip names, tech, the markets overall. We can do that

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<v Speaker 4>on our next guest, Kim Forest. She's the founder and

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<v Speaker 4>chief investment officer at Boca Partners, I believe, located in Pittsburgh,

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<v Speaker 4>lovely city, big fan of Pittsburgh. All right, Kim, on

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<v Speaker 4>your list on your notes, top picks continue to be Intel,

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<v Speaker 4>A and D mu Let's start with Intel. What is

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<v Speaker 4>Intel just not getting right here?

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<v Speaker 5>Sure? Well, a couple of things.

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<v Speaker 8>They are coming up a very steep hill from where

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<v Speaker 8>prior CEOs left them, and what happened was they kind

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<v Speaker 8>of fell behind the curve in making sure that they

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<v Speaker 8>could make the very fastest, best chips they could, and

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<v Speaker 8>their technology just floundered.

0:12:38.920 --> 0:12:41.160
<v Speaker 5>That's pretty much the short answer.

0:12:41.720 --> 0:12:46.720
<v Speaker 8>Now. Pat Gelsinger was a long time Intel employee, went

0:12:46.720 --> 0:12:50.200
<v Speaker 8>over to run VMware, came back to Intel, and he's

0:12:50.240 --> 0:12:52.679
<v Speaker 8>been trying to write the ship. But more than that,

0:12:52.800 --> 0:12:55.000
<v Speaker 8>he's been trying to make them into a foundry for

0:12:55.160 --> 0:13:00.440
<v Speaker 8>other company companies that designed chips. So this is a

0:13:00.480 --> 0:13:05.160
<v Speaker 8>long and arduous process. Becoming a foundry is they've they've

0:13:05.200 --> 0:13:08.600
<v Speaker 8>done that for specific companies in the past, but they

0:13:08.640 --> 0:13:12.120
<v Speaker 8>want to make it more broad like akin to what

0:13:12.480 --> 0:13:15.520
<v Speaker 8>Taiwan's Semiconductor can do. And they're just going to have

0:13:15.559 --> 0:13:18.000
<v Speaker 8>to come up the curve and spend some money. So

0:13:18.480 --> 0:13:20.880
<v Speaker 8>they have the one two Pine ship spending money and

0:13:20.920 --> 0:13:24.560
<v Speaker 8>then not having that hot AI chip, which is what

0:13:24.640 --> 0:13:27.839
<v Speaker 8>is driving everybody else in the world apparently.

0:13:27.640 --> 0:13:28.560
<v Speaker 5>Yeah, exactly.

0:13:28.559 --> 0:13:31.520
<v Speaker 4>So let's I love to just get your your AI

0:13:31.600 --> 0:13:34.360
<v Speaker 4>AI call if you will. How much do you believe

0:13:34.400 --> 0:13:37.720
<v Speaker 4>in it? How big can it be? And how are

0:13:37.720 --> 0:13:38.679
<v Speaker 4>you guys maybe playing it?

0:13:39.679 --> 0:13:41.160
<v Speaker 5>Sure? Well? A couple of things.

0:13:41.200 --> 0:13:43.480
<v Speaker 8>You have to understand that before I came over to

0:13:43.520 --> 0:13:46.040
<v Speaker 8>this side of the world finance, I was a software

0:13:46.080 --> 0:13:47.559
<v Speaker 8>engineer doing AI.

0:13:48.200 --> 0:13:49.840
<v Speaker 5>Like how lucky is that? Okay?

0:13:49.960 --> 0:13:54.719
<v Speaker 8>I know how Right's super Yes, it's nerd girl right

0:13:54.760 --> 0:13:57.959
<v Speaker 8>here anyhow. But moving on, So I believe in AI

0:13:58.120 --> 0:14:01.040
<v Speaker 8>and I think a couple of things that are going

0:14:01.120 --> 0:14:02.120
<v Speaker 8>to drive it forward.

0:14:02.160 --> 0:14:03.360
<v Speaker 5>First, we have enough data.

0:14:03.400 --> 0:14:05.360
<v Speaker 8>We didn't have enough data in the nineties when I

0:14:05.440 --> 0:14:09.000
<v Speaker 8>was doing it to be able to meaningfully understand the

0:14:09.040 --> 0:14:13.520
<v Speaker 8>world through the lens of AI problems. The second thing

0:14:13.640 --> 0:14:17.440
<v Speaker 8>is we have cheap fast computers. Again, we're spending a

0:14:17.440 --> 0:14:20.680
<v Speaker 8>lot of money on these computers, but for the compute

0:14:20.720 --> 0:14:24.360
<v Speaker 8>power back in the day. These are incredibly fast machines

0:14:24.640 --> 0:14:27.840
<v Speaker 8>that are incredibly cheap. And the third thing is, and

0:14:27.880 --> 0:14:31.480
<v Speaker 8>I always look through technologies with technology with this lens,

0:14:32.040 --> 0:14:39.120
<v Speaker 8>is we can actually make AI be productive, right like

0:14:39.280 --> 0:14:42.640
<v Speaker 8>help humans out. And I think putting those three things together,

0:14:42.720 --> 0:14:46.040
<v Speaker 8>I'm a strong believer in it. But the caveat is this,

0:14:46.200 --> 0:14:48.280
<v Speaker 8>it's not going to happen in the next fifteen minutes

0:14:48.400 --> 0:14:51.640
<v Speaker 8>or even next year. It's probably going to take seven

0:14:51.680 --> 0:14:54.640
<v Speaker 8>to ten years for this really to play out and

0:14:54.680 --> 0:14:58.280
<v Speaker 8>to change the world in fundamental ways, much like the

0:14:58.400 --> 0:15:00.600
<v Speaker 8>rollout of the Internet was so kim.

0:15:00.640 --> 0:15:01.320
<v Speaker 7>How do you play that?

0:15:01.320 --> 0:15:01.480
<v Speaker 5>Then?

0:15:01.920 --> 0:15:03.680
<v Speaker 2>Like, is it not an Nvidia play? Is it going

0:15:03.760 --> 0:15:05.480
<v Speaker 2>to be a different kind of play?

0:15:06.560 --> 0:15:08.280
<v Speaker 8>Well, I think you're going to have to cast your

0:15:08.320 --> 0:15:11.280
<v Speaker 8>net a little wider than in Nvidia. I love Nvidia,

0:15:11.440 --> 0:15:14.640
<v Speaker 8>but they do have a reputation for making the fastest

0:15:14.680 --> 0:15:18.160
<v Speaker 8>chips at the highest prices, and that's why I'm a

0:15:18.200 --> 0:15:21.960
<v Speaker 8>believer still in Intel, even as it rolls that rock

0:15:22.040 --> 0:15:25.160
<v Speaker 8>up the hill to correct itself. I think that it

0:15:25.400 --> 0:15:28.120
<v Speaker 8>can do that. And I also think AMD is a

0:15:28.160 --> 0:15:32.240
<v Speaker 8>good supplier as well, and people building aid data centers

0:15:32.280 --> 0:15:36.160
<v Speaker 8>aren't going to want to spend the bucks for Nvidia

0:15:36.280 --> 0:15:40.920
<v Speaker 8>in perpetuity, and I think that's just what is going

0:15:40.960 --> 0:15:43.800
<v Speaker 8>to drive those two names.

0:15:43.800 --> 0:15:47.920
<v Speaker 2>Micron, Micron, go ahead, go ahead, go ahead.

0:15:48.400 --> 0:15:51.240
<v Speaker 8>Okay, yeah, and I love to be cool like nerd girl,

0:15:51.320 --> 0:15:54.560
<v Speaker 8>cool but still cool. Okay, but I'm back so Micron,

0:15:54.840 --> 0:15:59.320
<v Speaker 8>I can't under estimate or understate this or overstate this enough.

0:15:59.360 --> 0:16:02.520
<v Speaker 8>That's what I mean is that AI needs a lot

0:16:02.560 --> 0:16:05.440
<v Speaker 8>of data, like tons and tons of data, and I

0:16:05.480 --> 0:16:08.480
<v Speaker 8>won't get into it. That's beyond here. There are really

0:16:08.480 --> 0:16:13.160
<v Speaker 8>good reasons why. But you're gonna need tons of data

0:16:13.200 --> 0:16:16.560
<v Speaker 8>and you're gonna need to store it in duplicative ways,

0:16:16.880 --> 0:16:20.160
<v Speaker 8>and so any bet on storing data is a good

0:16:20.240 --> 0:16:23.000
<v Speaker 8>bet right now. And I think Micron is among the

0:16:23.080 --> 0:16:28.280
<v Speaker 8>leaders of land storage, which is kind of non volatile

0:16:28.720 --> 0:16:31.200
<v Speaker 8>chip storage and not a spinning disk.

0:16:31.520 --> 0:16:34.760
<v Speaker 5>So that's the shortest answer. I can get for that one.

0:16:34.680 --> 0:16:37.080
<v Speaker 2>Kim, I have an ancillary This is totally talking my

0:16:37.120 --> 0:16:40.440
<v Speaker 2>own book here. What about power plays in relation to AI?

0:16:41.600 --> 0:16:43.480
<v Speaker 2>Just because if you want to run all the stuff,

0:16:43.520 --> 0:16:46.040
<v Speaker 2>you need a ton of power and the amount of

0:16:46.040 --> 0:16:47.880
<v Speaker 2>money that these companies are gonna be willing to pay

0:16:47.920 --> 0:16:49.920
<v Speaker 2>for it has got to be astronomical concerning that we

0:16:49.960 --> 0:16:52.360
<v Speaker 2>haven't seen power demand grow at all in twenty years.

0:16:52.680 --> 0:16:54.440
<v Speaker 7>Are you playing this derivative play at all?

0:16:55.520 --> 0:16:58.200
<v Speaker 8>Not yet, because I don't really see a good way

0:16:58.200 --> 0:17:00.640
<v Speaker 8>to do it. You know, there you can by like

0:17:03.360 --> 0:17:07.760
<v Speaker 8>certain power companies that are probably physically well positioned, that

0:17:07.920 --> 0:17:11.960
<v Speaker 8>have assets that are somewhat cheaper where the companies will

0:17:12.000 --> 0:17:15.840
<v Speaker 8>build their data centers. That's one way to do it.

0:17:15.840 --> 0:17:18.399
<v Speaker 8>It's too long of a play, Like, I'd rather stay

0:17:18.480 --> 0:17:21.960
<v Speaker 8>back in the AI kind of direct space rather than

0:17:22.520 --> 0:17:27.000
<v Speaker 8>that or even you know, the the data center providers.

0:17:27.200 --> 0:17:30.520
<v Speaker 8>You could play it that way too, But again, I

0:17:30.640 --> 0:17:34.520
<v Speaker 8>like my margins a little higher than those end markets.

0:17:34.760 --> 0:17:39.720
<v Speaker 4>Yeah, hey, it's interesting Kim thinking about Tesla. I'm just

0:17:40.600 --> 0:17:42.080
<v Speaker 4>I want to want to get your opinion on if

0:17:42.119 --> 0:17:43.680
<v Speaker 4>you have one. I mean a stocks down thirty two

0:17:43.680 --> 0:17:47.159
<v Speaker 4>percent year to date. Boy, has the tide turn on

0:17:47.320 --> 0:17:49.080
<v Speaker 4>that name, the sentiment turned on that name. Do you

0:17:49.119 --> 0:17:50.560
<v Speaker 4>have an opinion on Tesla here?

0:17:52.880 --> 0:17:56.400
<v Speaker 8>I've never invested in Tesla because I like my CEO

0:17:56.600 --> 0:18:01.560
<v Speaker 8>is more focused than Elon must But that being said,

0:18:02.160 --> 0:18:07.280
<v Speaker 8>like it is a battery storage play, and your other question,

0:18:07.480 --> 0:18:11.159
<v Speaker 8>Alex was on power plays. Maybe batteries are going to

0:18:11.200 --> 0:18:15.800
<v Speaker 8>be one of the ways that we allow for, you know,

0:18:15.840 --> 0:18:18.120
<v Speaker 8>the build out of electric power. So I think they

0:18:18.119 --> 0:18:23.320
<v Speaker 8>have more than one product there. I think evs have

0:18:23.480 --> 0:18:28.600
<v Speaker 8>also been overrated and people didn't do enough use case scenarios,

0:18:28.640 --> 0:18:31.520
<v Speaker 8>Like I have family that lives in North Dakota. There's

0:18:31.680 --> 0:18:34.880
<v Speaker 8>no way they could ever have an EV it gets

0:18:34.920 --> 0:18:38.600
<v Speaker 8>to negative twenty three. There a lot, right, you can't

0:18:38.720 --> 0:18:43.160
<v Speaker 8>charge them. There aren't enough towns where you could pull

0:18:43.200 --> 0:18:47.520
<v Speaker 8>over and you know, recharge. It's just like it's like

0:18:47.560 --> 0:18:49.399
<v Speaker 8>I look at use cases like that, and I know

0:18:49.480 --> 0:18:52.040
<v Speaker 8>that not everybody lives in North Dakota, but enough people,

0:18:52.080 --> 0:18:55.760
<v Speaker 8>do you know, like, and enough people live in the

0:18:55.800 --> 0:18:59.720
<v Speaker 8>North that these things are not necessarily ready for it

0:18:59.800 --> 0:19:03.159
<v Speaker 8>to be your only car. And I think that's a

0:19:03.160 --> 0:19:06.280
<v Speaker 8>little bit behind it. I think they make a good automobile,

0:19:06.560 --> 0:19:08.760
<v Speaker 8>and I'm not sure, people are just dying for that

0:19:09.359 --> 0:19:12.960
<v Speaker 8>Chevy Vault or whatever they're making, So I think they

0:19:13.400 --> 0:19:16.240
<v Speaker 8>they still have a product, and they still have a

0:19:16.280 --> 0:19:20.480
<v Speaker 8>certain cachet, and they were a good first mover in evs,

0:19:20.560 --> 0:19:23.000
<v Speaker 8>so I wouldn't throw them out necessarily.

0:19:23.240 --> 0:19:26.440
<v Speaker 2>But funnily enough, my work car's recently all been Teslas.

0:19:26.720 --> 0:19:29.439
<v Speaker 7>I don't know what that means, but that I mean something.

0:19:29.600 --> 0:19:32.120
<v Speaker 2>Maybe they're as you're talking about Ed Ludlow, like, there's

0:19:32.160 --> 0:19:34.320
<v Speaker 2>actually more teslas now because no one's actually buying them.

0:19:34.320 --> 0:19:37.560
<v Speaker 7>So then you can tree hugger capital of the world.

0:19:37.840 --> 0:19:42.440
<v Speaker 2>Yes, I live in parks that, yeah, but not necessarily.

0:19:42.440 --> 0:19:44.240
<v Speaker 2>My drivers don't necessarily live there.

0:19:44.520 --> 0:19:47.640
<v Speaker 4>Bar's not taking a EV from eastern Ohio here.

0:19:47.920 --> 0:19:55.440
<v Speaker 1>I'm from Pennsylvania. We are a lot of pickups stack Yeah.

0:19:54.160 --> 0:19:55.919
<v Speaker 2>Kim, before we let you go, do you care if

0:19:55.960 --> 0:19:58.919
<v Speaker 2>the FED cuts rates or not? And when they do it?

0:19:59.119 --> 0:19:59.800
<v Speaker 5>Oh? Sure I do.

0:20:00.240 --> 0:20:03.600
<v Speaker 8>Heck yeah, I mean I think we're signed up for

0:20:04.119 --> 0:20:08.080
<v Speaker 8>a rate cut, and I'll say it even crazy relatively soon,

0:20:08.200 --> 0:20:12.600
<v Speaker 8>I'd say before July. And I do think that they

0:20:12.640 --> 0:20:15.919
<v Speaker 8>need to cut. The dollar is awfully strong relative to

0:20:15.960 --> 0:20:19.000
<v Speaker 8>other currencies, and that might be able to cool us

0:20:19.040 --> 0:20:20.760
<v Speaker 8>off a little bit more on that, and I think

0:20:20.760 --> 0:20:25.120
<v Speaker 8>that's important because even though I'm a generalist, I love technology.

0:20:25.600 --> 0:20:28.200
<v Speaker 8>We sell technology to the rest of the world at

0:20:28.240 --> 0:20:31.359
<v Speaker 8>the price of a dollar, and we have to have

0:20:31.480 --> 0:20:32.200
<v Speaker 8>that in mind.

0:20:33.200 --> 0:20:35.400
<v Speaker 4>Kim, thank you for joining us, as I always appreciate

0:20:35.440 --> 0:20:38.200
<v Speaker 4>getting your views there. Kim Farest. She is to founder

0:20:38.320 --> 0:20:42.439
<v Speaker 4>and chief investment officer Boca Capital Partners in Pittsburgh, a

0:20:42.560 --> 0:20:45.920
<v Speaker 4>former software person, a tech geek by her own admissions,

0:20:45.920 --> 0:20:49.239
<v Speaker 4>So good stuff there talking about AI and boy that

0:20:49.280 --> 0:20:52.520
<v Speaker 4>Intel news that John was reporting earlier having problems with

0:20:52.560 --> 0:20:55.920
<v Speaker 4>this the founder here, it's one of those chip stocks

0:20:55.960 --> 0:20:59.800
<v Speaker 4>that is not participating in the whole AI rising tide

0:21:00.119 --> 0:21:02.320
<v Speaker 4>thing like it is for Nvidia and Broadcommon others.

0:21:02.400 --> 0:21:04.040
<v Speaker 2>We'll talk about a long play, right, because if they

0:21:04.040 --> 0:21:05.720
<v Speaker 2>can get the founder of business really going, it could

0:21:05.760 --> 0:21:08.080
<v Speaker 2>really help them either make chips for themselves and then

0:21:08.080 --> 0:21:09.639
<v Speaker 2>also make it for others, and it could be a

0:21:09.720 --> 0:21:11.440
<v Speaker 2>nice driver. I mean, just look at the revenue that

0:21:11.480 --> 0:21:14.880
<v Speaker 2>TSM is minting. But you got to get it there, right,

0:21:15.359 --> 0:21:17.720
<v Speaker 2>and it's just not quite there yet.

0:21:18.920 --> 0:21:22.800
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us Live

0:21:22.880 --> 0:21:26.440
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0:21:26.440 --> 0:21:29.240
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0:21:29.359 --> 0:21:32.440
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0:21:32.800 --> 0:21:35.560
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0:21:36.960 --> 0:21:39.520
<v Speaker 4>Matt Winkler joins us here in studio. Matt Winkler is

0:21:39.680 --> 0:21:44.080
<v Speaker 4>the founder of Bloomberg News, as he editor at Meritis

0:21:44.160 --> 0:21:45.879
<v Speaker 4>right now Bloomberg News. He joins us here in our

0:21:45.920 --> 0:21:48.360
<v Speaker 4>studio and he's been doing a series of opinion pieces

0:21:48.880 --> 0:21:52.560
<v Speaker 4>about key swing states in the upcoming election and give

0:21:52.680 --> 0:21:54.880
<v Speaker 4>us the latest on county how the economies are doing

0:21:55.480 --> 0:21:57.639
<v Speaker 4>in those key states. We started with Michigan ethic and

0:21:57.640 --> 0:22:00.720
<v Speaker 4>then we did California by looking at La San Francisco.

0:22:00.800 --> 0:22:04.000
<v Speaker 4>Now heading down to the great state of Georgia. Matt,

0:22:04.000 --> 0:22:05.000
<v Speaker 4>what did you find in Georgia.

0:22:05.040 --> 0:22:05.720
<v Speaker 1>I love Georgia.

0:22:05.720 --> 0:22:08.000
<v Speaker 4>It seems like it's been growing for I don't know,

0:22:08.160 --> 0:22:09.200
<v Speaker 4>twenty thirty years.

0:22:09.280 --> 0:22:10.080
<v Speaker 5>It's a great story.

0:22:10.680 --> 0:22:14.000
<v Speaker 9>Well, great to be with you, and you're right. Georgia

0:22:14.240 --> 0:22:16.800
<v Speaker 9>population of more than eleven million makes it the eighth

0:22:16.960 --> 0:22:21.040
<v Speaker 9>largest state, and it's booming right now like it never

0:22:21.240 --> 0:22:24.520
<v Speaker 9>did before. Joe Biden became the forty sixth president and

0:22:24.560 --> 0:22:29.280
<v Speaker 9>we know this because not since data was initially collected

0:22:29.320 --> 0:22:31.920
<v Speaker 9>in nineteen ninety has there been a three year period

0:22:32.640 --> 0:22:36.439
<v Speaker 9>when growth in the Peach States manufacturing payrolls came close

0:22:36.520 --> 0:22:41.159
<v Speaker 9>to matching the eleven point nine percent increase in jobs

0:22:41.160 --> 0:22:45.800
<v Speaker 9>since twenty twenty one, or its rate of employment gains

0:22:45.800 --> 0:22:49.480
<v Speaker 9>compared with the US overall. And that's according to data

0:22:49.480 --> 0:22:53.600
<v Speaker 9>compiled by Bloomberg. So we are seeing a manufacturing boom

0:22:53.840 --> 0:22:57.439
<v Speaker 9>job boom in Georgia the likes of which Georgia has

0:22:57.800 --> 0:23:01.439
<v Speaker 9>never seen. And by the way, this is counter to

0:23:01.520 --> 0:23:05.960
<v Speaker 9>the trend in the twenty first century. Every presidency in

0:23:06.000 --> 0:23:09.960
<v Speaker 9>the New century except Biden's has seen a decline in

0:23:10.080 --> 0:23:12.399
<v Speaker 9>manufacturing jobs. So this is a departure.

0:23:12.880 --> 0:23:15.159
<v Speaker 7>So how much of that do you attribute to the

0:23:15.240 --> 0:23:17.760
<v Speaker 7>Chips Act and the Inflation Reduction Act, Because something that

0:23:17.800 --> 0:23:19.840
<v Speaker 7>gets lost in all this messaging is with the IRA

0:23:19.960 --> 0:23:22.320
<v Speaker 7>for example, So much of that money is actually going

0:23:22.359 --> 0:23:26.400
<v Speaker 7>to Red States because they have the space to build stuff.

0:23:27.200 --> 0:23:30.920
<v Speaker 9>Well, there's no question that actually Red states are a

0:23:30.960 --> 0:23:34.760
<v Speaker 9>big beneficiary. But it's not just the American Rescue Act

0:23:34.840 --> 0:23:39.600
<v Speaker 9>of twenty twenty one. It's also the Infrastructure Investment Jobs Act,

0:23:39.680 --> 0:23:43.520
<v Speaker 9>the Chips and Science Act again, the Inflation Reduction Act,

0:23:45.000 --> 0:23:51.359
<v Speaker 9>all of which have helped Biden make a legitimate claim,

0:23:51.480 --> 0:23:55.200
<v Speaker 9>which is he created close to eight hundred thousand manufacturing

0:23:55.280 --> 0:23:57.600
<v Speaker 9>jobs since he took office. And we know this is

0:23:57.640 --> 0:24:02.280
<v Speaker 9>not an idle boast because those very careful fact checkers

0:24:02.280 --> 0:24:06.160
<v Speaker 9>called PolitiFact actually took a look at this claim and

0:24:06.320 --> 0:24:11.400
<v Speaker 9>they showed that the nation's manufacturing rebound is the strongest

0:24:11.440 --> 0:24:15.560
<v Speaker 9>at this point after a recession since nineteen fifty one.

0:24:15.680 --> 0:24:16.439
<v Speaker 10>You weren't around.

0:24:16.440 --> 0:24:19.080
<v Speaker 7>There wasn't either.

0:24:20.560 --> 0:24:21.199
<v Speaker 5>I'll leave it there.

0:24:21.200 --> 0:24:21.760
<v Speaker 10>I'm not sure.

0:24:23.600 --> 0:24:28.919
<v Speaker 4>So is Georgia per se doing anything right versus I mean,

0:24:29.000 --> 0:24:31.679
<v Speaker 4>is this all just the largest of the federal government

0:24:31.720 --> 0:24:35.240
<v Speaker 4>met or does Georgia have just better incentives, better tax

0:24:35.280 --> 0:24:35.679
<v Speaker 4>and centives?

0:24:35.680 --> 0:24:36.359
<v Speaker 5>Are they doing something?

0:24:36.359 --> 0:24:38.040
<v Speaker 4>Maybe some other states aren't doing well.

0:24:37.960 --> 0:24:43.000
<v Speaker 9>Well, There's no question that some of the credit has

0:24:43.080 --> 0:24:46.119
<v Speaker 9>to go to, as I said, these acts, because the

0:24:46.200 --> 0:24:53.280
<v Speaker 9>investments include, for example, South Korea's Hanwa Solutions Corp. Expansion

0:24:53.320 --> 0:24:56.600
<v Speaker 9>of solar panel and manufacturing. They were already there. They

0:24:56.640 --> 0:24:59.080
<v Speaker 9>got incentives to do a lot more than what they

0:24:59.119 --> 0:25:05.879
<v Speaker 9>were doing. The same thing with Hyundai with EV vehicles,

0:25:06.280 --> 0:25:09.400
<v Speaker 9>They're already there. They're doing more. And then there's this

0:25:09.600 --> 0:25:14.159
<v Speaker 9>battery company from Norway, freyer Or Battery, which is going

0:25:14.240 --> 0:25:20.320
<v Speaker 9>to make clean battery manufacturing in Koeda County in Georgia.

0:25:20.480 --> 0:25:25.000
<v Speaker 9>So those things are definitely tied to the incentives that

0:25:25.080 --> 0:25:29.359
<v Speaker 9>come out of these acts. There's no question state and

0:25:29.440 --> 0:25:34.000
<v Speaker 9>local officials have been supportive. But interestingly enough, the governor

0:25:34.040 --> 0:25:38.040
<v Speaker 9>of Georgia voted against or would have voted against, the

0:25:38.040 --> 0:25:42.399
<v Speaker 9>Inflation Reduction Act. All of the Republicans in Congress voted

0:25:42.440 --> 0:25:45.440
<v Speaker 9>against the Inflation Reduction Act, which is a big part

0:25:45.480 --> 0:25:48.960
<v Speaker 9>of why George is doing well. But they're not ready

0:25:48.960 --> 0:25:52.440
<v Speaker 9>to give the money back. They're very happy that it's

0:25:52.480 --> 0:25:53.080
<v Speaker 9>all happening.

0:25:53.480 --> 0:25:56.760
<v Speaker 2>We have seen with some of these acts that we

0:25:56.800 --> 0:25:59.879
<v Speaker 2>get all excited about the money that's being spent, but

0:26:00.119 --> 0:26:02.360
<v Speaker 2>then getting the shovel in the ground and actually doing

0:26:02.400 --> 0:26:05.400
<v Speaker 2>the hiring and the manufacturing gets delayed a little bit

0:26:05.480 --> 0:26:08.840
<v Speaker 2>and gets pushed out, or the plans get scaled back

0:26:08.880 --> 0:26:11.600
<v Speaker 2>a bit. Are we seeing any of this in Georgia

0:26:11.800 --> 0:26:14.000
<v Speaker 2>or is the outlook particularly rosy.

0:26:15.040 --> 0:26:17.879
<v Speaker 9>It's more of the latter, you know. And then again

0:26:17.920 --> 0:26:21.240
<v Speaker 9>the proof of that is that if you look at

0:26:21.280 --> 0:26:27.520
<v Speaker 9>the unemployment rate, uh in. In Georgia it actually declined

0:26:27.640 --> 0:26:31.919
<v Speaker 9>most recently and is several percentage points, you know, less

0:26:31.960 --> 0:26:36.000
<v Speaker 9>than the national average. So you know, unemployment in the

0:26:36.119 --> 0:26:39.200
<v Speaker 9>US actually is ticked up a bit. In Georgia it's

0:26:39.240 --> 0:26:42.960
<v Speaker 9>gone the other way. And that's an example that the

0:26:43.000 --> 0:26:47.600
<v Speaker 9>boom is very much underway and shows no signs of abating.

0:26:48.200 --> 0:26:50.560
<v Speaker 4>You know, you have to remind yourself, I mean, how

0:26:50.600 --> 0:26:54.119
<v Speaker 4>the economy in the South has really changed from you know,

0:26:54.240 --> 0:26:59.680
<v Speaker 4>agricultural textiles, you know, very low technology touch types of

0:26:59.760 --> 0:27:02.639
<v Speaker 4>venggees to now it seems like every new auto plant

0:27:02.760 --> 0:27:07.639
<v Speaker 4>that you know, international automakers, they want to build them in.

0:27:07.000 --> 0:27:08.280
<v Speaker 7>The movie studios.

0:27:09.320 --> 0:27:11.520
<v Speaker 4>So much investments going to the Southeast. And that's again

0:27:11.600 --> 0:27:15.600
<v Speaker 4>been a twenty third thirty year story. What's next on

0:27:15.880 --> 0:27:16.720
<v Speaker 4>your state?

0:27:16.920 --> 0:27:17.080
<v Speaker 5>Yeah?

0:27:17.119 --> 0:27:17.720
<v Speaker 6>What state is?

0:27:17.800 --> 0:27:18.200
<v Speaker 1>Next year?

0:27:18.280 --> 0:27:25.280
<v Speaker 9>We'll probably get to Nevada. So we've done Pennsylvania and Michigan,

0:27:26.240 --> 0:27:29.359
<v Speaker 9>now Georgia, and we're working through the list.

0:27:30.200 --> 0:27:35.120
<v Speaker 4>So if you were advising President Biden his campaign about

0:27:35.440 --> 0:27:37.840
<v Speaker 4>the messaging here, what would you say in terms of

0:27:37.920 --> 0:27:40.920
<v Speaker 4>because I would argue that the messaging has not been effective,

0:27:40.960 --> 0:27:45.000
<v Speaker 4>that this message of economic success has not been told well.

0:27:44.840 --> 0:27:47.240
<v Speaker 9>I'd say actually their messaging has been pretty good. A

0:27:47.280 --> 0:27:51.000
<v Speaker 9>lot of this data that we've compiled at Bloomberg is

0:27:51.200 --> 0:27:56.240
<v Speaker 9>available in various announcements from either the White House or

0:27:56.280 --> 0:27:59.760
<v Speaker 9>the Treasury. But the saying is, you know, you can

0:27:59.840 --> 0:28:02.320
<v Speaker 9>lead a horse to water, but you can't get the

0:28:02.320 --> 0:28:05.800
<v Speaker 9>horse to drink. The horse in this case is our profession,

0:28:05.920 --> 0:28:09.600
<v Speaker 9>the media, and it's pretty much ignored what's in front

0:28:09.640 --> 0:28:13.240
<v Speaker 9>of its nose, which are the fact. So unless reporters

0:28:14.440 --> 0:28:17.520
<v Speaker 9>find this relevant, I do.

0:28:19.640 --> 0:28:19.800
<v Speaker 4>It.

0:28:19.960 --> 0:28:23.120
<v Speaker 9>You know, they'd rather focus on poles. And so that's

0:28:23.200 --> 0:28:24.600
<v Speaker 9>perception not reality.

0:28:24.720 --> 0:28:26.639
<v Speaker 4>Before we went on the area, you made a comment

0:28:26.640 --> 0:28:29.679
<v Speaker 4>about California. How big is that economy now? Because I

0:28:29.760 --> 0:28:31.080
<v Speaker 4>used to to me it was the seventh or ay

0:28:31.119 --> 0:28:31.760
<v Speaker 4>largest economy.

0:28:31.760 --> 0:28:35.080
<v Speaker 9>It's number four. It's now numbers and it's poised to

0:28:35.119 --> 0:28:39.080
<v Speaker 9>overtake Germany. And that's because you know, you keep talking

0:28:39.080 --> 0:28:42.640
<v Speaker 9>about the Magnificent seven on this show. If you look

0:28:42.640 --> 0:28:48.560
<v Speaker 9>at corporate California, Corporate California just dwarfs corporate Anywhere, dwarfs

0:28:48.560 --> 0:28:54.800
<v Speaker 9>Corporate Texas, It dwarfs corporate Germany. Corporate California is still

0:28:54.840 --> 0:28:58.280
<v Speaker 9>a juggernaut. And you know who those companies are, but

0:28:58.320 --> 0:29:02.480
<v Speaker 9>it's not just the big companies, big and small companies alike.

0:29:02.520 --> 0:29:06.320
<v Speaker 9>In the Russell three thousand, Yeah, that make California unique.

0:29:06.360 --> 0:29:08.800
<v Speaker 4>It's yeah, it's just extraordinary, all right, Matt, thank you

0:29:08.800 --> 0:29:10.800
<v Speaker 4>so much for joining us. Matt Winkler, he's the editor

0:29:10.840 --> 0:29:13.840
<v Speaker 4>in chief emeritus. He is the founder of Bloomberg News

0:29:14.720 --> 0:29:18.160
<v Speaker 4>for and he's now part of Bloomberg Opinion, and he

0:29:18.240 --> 0:29:20.560
<v Speaker 4>joins us here in our office talking about the great

0:29:20.640 --> 0:29:25.000
<v Speaker 4>state of Georgia and the strong economic performance our friends

0:29:25.080 --> 0:29:28.760
<v Speaker 4>down there are seeing, particularly you know, manufacturing and employment,

0:29:28.800 --> 0:29:31.280
<v Speaker 4>and for my media business, they've long been a destination.

0:29:33.960 --> 0:29:37.800
<v Speaker 1>You're listening to the Bloomberg Intelligence Podcast. Catch us live

0:29:37.920 --> 0:29:41.440
<v Speaker 1>weekdays at ten am Eastern on applecar Play and Android

0:29:41.480 --> 0:29:44.600
<v Speaker 1>Auto with the Bloomberg Business. You can also listen live

0:29:44.760 --> 0:29:47.880
<v Speaker 1>on Amazon Alexa from our flagship New York station, Just

0:29:47.960 --> 0:29:50.600
<v Speaker 1>say Alexa playing Bloomberg eleven thirty.

0:29:52.320 --> 0:29:52.800
<v Speaker 5>So here's a.

0:29:52.800 --> 0:29:53.360
<v Speaker 7>Stop for you.

0:29:53.720 --> 0:29:57.400
<v Speaker 2>At Vander it's up about ten percent so far this year,

0:29:57.760 --> 0:30:00.840
<v Speaker 2>done pretty well. The top on the street is that

0:30:00.920 --> 0:30:04.000
<v Speaker 2>it wants to be really a mini Thermo Fisher. So

0:30:04.240 --> 0:30:07.120
<v Speaker 2>part of its business is a supplier of R and

0:30:07.240 --> 0:30:09.880
<v Speaker 2>D labs for the global farmer industry, and now it's

0:30:09.960 --> 0:30:12.680
<v Speaker 2>trying to make a big push into bioproductions. That's basically

0:30:12.720 --> 0:30:17.200
<v Speaker 2>the equipment of manufacturing biologic and biotech drugs. Luckily, we

0:30:17.280 --> 0:30:19.640
<v Speaker 2>have the CEO and president with us to help understand

0:30:19.680 --> 0:30:22.120
<v Speaker 2>what this company does, what's the opportunity, what's the margin,

0:30:22.160 --> 0:30:25.320
<v Speaker 2>what's the growth. Michael Stubblefield is president and CEO of

0:30:25.400 --> 0:30:29.320
<v Speaker 2>A vand Or and he joins us now from Allentown, Pennsylvania. Michael,

0:30:29.320 --> 0:30:32.160
<v Speaker 2>thanks for joining walk us through dumb down what you

0:30:32.240 --> 0:30:33.640
<v Speaker 2>guys do for people like me and Paul.

0:30:34.640 --> 0:30:36.440
<v Speaker 10>Yeah, Alex and Paul, thanks for having me. Really happy

0:30:36.480 --> 0:30:38.400
<v Speaker 10>to be here today now. I think it's a great

0:30:38.400 --> 0:30:41.880
<v Speaker 10>place for us to start the conversation today. We're probably

0:30:41.920 --> 0:30:43.360
<v Speaker 10>one of the bigger companies that a lot of people

0:30:43.400 --> 0:30:46.120
<v Speaker 10>have never heard of, and we are really ubiquitous in

0:30:46.320 --> 0:30:51.520
<v Speaker 10>the biopharma space. I would say we enable innovation across

0:30:52.080 --> 0:30:55.360
<v Speaker 10>the life sciences and events technology industries, and we really

0:30:55.400 --> 0:30:58.920
<v Speaker 10>embed ourselves with our customers. We support them every step

0:30:58.960 --> 0:31:02.400
<v Speaker 10>of their scientific journey. We were in virtually every research

0:31:02.480 --> 0:31:05.000
<v Speaker 10>lab around the world, more than three hundred thousand locations,

0:31:06.120 --> 0:31:10.320
<v Speaker 10>and we have a really robust portfolio, an e commerce platform,

0:31:10.400 --> 0:31:13.840
<v Speaker 10>and a whole host of productivity enhancing services that really

0:31:13.880 --> 0:31:17.240
<v Speaker 10>help our the scientists that our customers, you know, develop

0:31:17.320 --> 0:31:21.640
<v Speaker 10>the new therapies that you're referencing, and as those innovations

0:31:21.800 --> 0:31:26.320
<v Speaker 10>advance to development and production, our materials and technologies become

0:31:26.360 --> 0:31:29.880
<v Speaker 10>embedded into our customers applications, everything from biological therapies to

0:31:29.960 --> 0:31:32.080
<v Speaker 10>medical plants to electronics.

0:31:32.440 --> 0:31:34.160
<v Speaker 4>So, Michael, give us a sense of maybe who you're

0:31:34.760 --> 0:31:39.320
<v Speaker 4>you know, a common customers, an average customer of your company.

0:31:39.600 --> 0:31:42.200
<v Speaker 4>Who are your customer rebase and what did they really

0:31:42.280 --> 0:31:43.080
<v Speaker 4>look to you guys for.

0:31:44.240 --> 0:31:45.680
<v Speaker 10>You're really not going to be able to find too

0:31:45.720 --> 0:31:48.640
<v Speaker 10>many customers that are doing work in the biopharma or

0:31:48.640 --> 0:31:51.920
<v Speaker 10>the biotech space that we wouldn't be serving in some capacity.

0:31:52.440 --> 0:31:54.640
<v Speaker 10>I think that's one of the more interesting aspects of

0:31:54.720 --> 0:31:56.680
<v Speaker 10>our of our business model, is that we are deeply

0:31:56.720 --> 0:32:01.400
<v Speaker 10>embedded across this space. So it's everything from you know,

0:32:01.480 --> 0:32:04.280
<v Speaker 10>the traditional large pharma you know, the Johnson and Johnson's

0:32:04.280 --> 0:32:07.800
<v Speaker 10>amjen No Artist's of the world all the way through

0:32:07.880 --> 0:32:10.400
<v Speaker 10>to you know a lot of the startups and you

0:32:10.480 --> 0:32:13.920
<v Speaker 10>know biotech companies that are out there. We have an

0:32:13.960 --> 0:32:17.800
<v Speaker 10>exclusive relationship with one of the bioconsortiums here in the

0:32:17.920 --> 0:32:21.240
<v Speaker 10>in the US that you know, literally thousands of how

0:32:21.360 --> 0:32:24.920
<v Speaker 10>tech startups you know, uh, access our products and services

0:32:24.960 --> 0:32:29.160
<v Speaker 10>across that platform. So we're extremely well positioned to serve

0:32:29.240 --> 0:32:29.680
<v Speaker 10>this space.

0:32:30.160 --> 0:32:32.520
<v Speaker 2>And so basically they come to you for stuff, right like, Hey,

0:32:32.720 --> 0:32:34.520
<v Speaker 2>I need this ingredient do this thing, or I need

0:32:34.560 --> 0:32:35.960
<v Speaker 2>this piece of equipment to do this thing.

0:32:36.120 --> 0:32:39.200
<v Speaker 10>Right Yeah, I'm not sure we would call it stuff, but.

0:32:40.760 --> 0:32:42.960
<v Speaker 5>We break it down for you here, so talk about it.

0:32:43.120 --> 0:32:45.800
<v Speaker 10>So we have you know, you can almost think about,

0:32:46.640 --> 0:32:49.040
<v Speaker 10>you know, there's nothing in a laboratory that a scientist

0:32:49.120 --> 0:32:50.960
<v Speaker 10>would need that we don't supply. We have over six

0:32:51.040 --> 0:32:54.640
<v Speaker 10>million products. That's everything from chemicals and reagents, to equipment

0:32:54.720 --> 0:32:58.040
<v Speaker 10>and instruments to you know, plastic wear and glassware consumables.

0:32:58.080 --> 0:33:00.920
<v Speaker 10>Think about just what a scientist needs in order to

0:33:01.000 --> 0:33:03.960
<v Speaker 10>conduct their research in a laboratory they would be able

0:33:04.000 --> 0:33:07.280
<v Speaker 10>to procure from us. We look to be a one

0:33:07.360 --> 0:33:10.800
<v Speaker 10>stop shop to meet all of our customers needs within

0:33:10.880 --> 0:33:14.080
<v Speaker 10>that laboratory environment. And one of the things that we

0:33:14.160 --> 0:33:17.480
<v Speaker 10>really focus on is you know, bringing efficiency, you know,

0:33:17.560 --> 0:33:20.440
<v Speaker 10>to our customers. A lot of the discussion in our

0:33:20.480 --> 0:33:23.000
<v Speaker 10>space is how do we return time to the scientists

0:33:23.400 --> 0:33:25.840
<v Speaker 10>so that they can really focus on, you know, pushing

0:33:25.960 --> 0:33:29.160
<v Speaker 10>forward these breakthrough therapies that are really game changing for

0:33:29.280 --> 0:33:32.280
<v Speaker 10>patients around the world. And so we have, in addition

0:33:32.360 --> 0:33:35.040
<v Speaker 10>to the products, a whole host of services and digital

0:33:35.080 --> 0:33:38.600
<v Speaker 10>capabilities that we deploy really all meant to improve the

0:33:38.600 --> 0:33:40.080
<v Speaker 10>efficiency of how a lab works.

0:33:41.040 --> 0:33:42.600
<v Speaker 4>I like to ask, you know, when we talk to

0:33:42.800 --> 0:33:45.840
<v Speaker 4>healthcare companies anywhere within the space, I like to ask

0:33:46.040 --> 0:33:49.960
<v Speaker 4>this following question, how is your business impacted by the pandemic?

0:33:50.080 --> 0:33:52.520
<v Speaker 4>And maybe how is it different today than it was before,

0:33:52.560 --> 0:33:54.920
<v Speaker 4>because it just seems like that whole corner of the

0:33:55.080 --> 0:33:57.959
<v Speaker 4>you know, that the healthcare space really had to adjust.

0:33:59.000 --> 0:34:02.240
<v Speaker 10>Yeah, certainly interesting time from a lot of different aspects.

0:34:02.320 --> 0:34:04.000
<v Speaker 10>And you know, I think it's important to point out

0:34:04.040 --> 0:34:06.520
<v Speaker 10>that we did play a really important role in you know,

0:34:06.640 --> 0:34:09.000
<v Speaker 10>helping address you know, the pandemic. A lot of our

0:34:09.040 --> 0:34:12.839
<v Speaker 10>materials were being used to produce you know, the vaccines

0:34:13.000 --> 0:34:16.120
<v Speaker 10>and as well as a lot of the materials that

0:34:16.160 --> 0:34:18.800
<v Speaker 10>needed to go into produce the tests to detect COVID.

0:34:19.960 --> 0:34:22.240
<v Speaker 10>But you know, there's probably a couple of different dynamics

0:34:22.280 --> 0:34:24.440
<v Speaker 10>that that I would point out that we experienced during

0:34:24.480 --> 0:34:29.279
<v Speaker 10>the pandemic, first, really unpredestant, unprecedented supply chain constraints. There

0:34:29.400 --> 0:34:32.239
<v Speaker 10>was shortages you know, throughout the value chain that made

0:34:32.360 --> 0:34:35.799
<v Speaker 10>executing our supply chain you know, rather challenging. We had

0:34:35.920 --> 0:34:38.360
<v Speaker 10>you know, significant step up in demand to support you know,

0:34:38.440 --> 0:34:41.560
<v Speaker 10>some of these COVID based workflows. And then as things

0:34:41.600 --> 0:34:43.840
<v Speaker 10>started to normalize, of course, you know, our industry has

0:34:43.880 --> 0:34:47.359
<v Speaker 10>been facing some of the headwindes associated with just uh

0:34:47.520 --> 0:34:51.560
<v Speaker 10>normalization of procurement and supply chain trends. So it's been

0:34:51.600 --> 0:34:54.800
<v Speaker 10>a really dynamic time. But I think we've we've weathered

0:34:54.840 --> 0:34:56.560
<v Speaker 10>the storm well, and you know, we've offered a lot

0:34:56.600 --> 0:35:00.279
<v Speaker 10>of value you know, during that process to focus on

0:35:00.400 --> 0:35:03.799
<v Speaker 10>executing our growth strategy, and we're really pleased with how

0:35:03.840 --> 0:35:05.040
<v Speaker 10>we're positioned coming out of all that.

0:35:05.280 --> 0:35:07.080
<v Speaker 2>So, as I mentioned, the stock up ten percent so

0:35:07.200 --> 0:35:11.160
<v Speaker 2>far this year, zero cell ratings, six holds and fifteen buys,

0:35:11.239 --> 0:35:14.320
<v Speaker 2>with a twelve month price target of about twenty seven,

0:35:14.440 --> 0:35:16.440
<v Speaker 2>we're almost there, or like a stone's throw away from that.

0:35:16.560 --> 0:35:16.680
<v Speaker 10>Now.

0:35:17.000 --> 0:35:19.480
<v Speaker 2>I was talking to Jonathan Palmer, he's our Bloomberg intelligence

0:35:19.520 --> 0:35:21.400
<v Speaker 2>guy who covers your company, and he was saying that

0:35:21.680 --> 0:35:24.839
<v Speaker 2>the debate now on the street is when you can

0:35:24.920 --> 0:35:29.000
<v Speaker 2>really return to growth and show some profitability improvements.

0:35:29.360 --> 0:35:29.800
<v Speaker 6>When is that?

0:35:31.320 --> 0:35:33.440
<v Speaker 10>Yeah, So, you know, one of the things that I

0:35:33.520 --> 0:35:35.759
<v Speaker 10>really like about our business is just the exposure we

0:35:35.880 --> 0:35:38.560
<v Speaker 10>have to some really attractive end markets. You've reught ferenced

0:35:38.560 --> 0:35:41.920
<v Speaker 10>bile pharma and biotech and healthcare space, which is more

0:35:41.960 --> 0:35:45.359
<v Speaker 10>than sixty percent of our revenues. And when I look

0:35:45.400 --> 0:35:47.480
<v Speaker 10>at the health of those end markets, you know, I

0:35:47.520 --> 0:35:51.279
<v Speaker 10>think we're quite excited about the long term positioning of

0:35:52.120 --> 0:35:56.840
<v Speaker 10>the space, really driven by record levels of new drug approvals,

0:35:57.160 --> 0:36:00.440
<v Speaker 10>pipelines that are as robust as they've ever been, and

0:36:00.600 --> 0:36:04.160
<v Speaker 10>new therapeutic platforms, whether that be you know, selling gene therapy,

0:36:04.400 --> 0:36:06.400
<v Speaker 10>you know, GLP ones that have been getting a lot

0:36:06.440 --> 0:36:09.279
<v Speaker 10>of attention. And so I would say the fundamentals for

0:36:09.360 --> 0:36:12.359
<v Speaker 10>our space are are really robust, and you know, as

0:36:12.480 --> 0:36:15.120
<v Speaker 10>some of these headwinds that have been plaguing the industry

0:36:15.160 --> 0:36:16.919
<v Speaker 10>that we just talked about, whether it be supply chain

0:36:17.160 --> 0:36:20.080
<v Speaker 10>or you know, just some of the normalization coming out

0:36:20.120 --> 0:36:23.239
<v Speaker 10>of covid is, as those things subside, you know, I

0:36:23.280 --> 0:36:25.680
<v Speaker 10>think we're really well positioned to, you know, for a

0:36:25.760 --> 0:36:28.280
<v Speaker 10>strong setup and to be able to leverage the momentum

0:36:28.360 --> 0:36:29.760
<v Speaker 10>that's that's in our end markets.

0:36:30.280 --> 0:36:34.759
<v Speaker 4>So one of the I guess, just what's one of

0:36:34.800 --> 0:36:37.680
<v Speaker 4>the bigger headwinds that you are facing here that you

0:36:37.800 --> 0:36:41.320
<v Speaker 4>need to get you know, your your hands around to

0:36:41.400 --> 0:36:43.880
<v Speaker 4>kind of move this forward here. I mean, again, Stock's

0:36:43.920 --> 0:36:46.879
<v Speaker 4>done well, but what's a key challenge for you guys

0:36:47.040 --> 0:36:47.480
<v Speaker 4>these days.

0:36:48.480 --> 0:36:50.640
<v Speaker 10>Yes, when we looked at, you know, some of the

0:36:50.920 --> 0:36:53.920
<v Speaker 10>things that have impacted our growth in our industry over

0:36:53.960 --> 0:36:57.799
<v Speaker 10>the last years. So it's things like inventory d stockings

0:36:57.880 --> 0:37:01.000
<v Speaker 10>as our customers are normalizing their inventory, is you know,

0:37:01.080 --> 0:37:03.840
<v Speaker 10>some of the supply chain constraints, whether it be access

0:37:03.880 --> 0:37:06.480
<v Speaker 10>to raw materials or even just our own production capacity

0:37:06.520 --> 0:37:08.920
<v Speaker 10>that we've been able to you know deep bottleneck with

0:37:09.120 --> 0:37:13.080
<v Speaker 10>with investments, or you know some of the funding constraints

0:37:13.200 --> 0:37:17.279
<v Speaker 10>in biotech and things as the capital markets have you know,

0:37:17.400 --> 0:37:19.360
<v Speaker 10>been a bit challenged here over the last year. So

0:37:19.920 --> 0:37:22.319
<v Speaker 10>you know, those things have largely normalized. When I look

0:37:22.360 --> 0:37:24.560
<v Speaker 10>at the instability of the business in the back half

0:37:24.640 --> 0:37:28.000
<v Speaker 10>of that last year and into the early you know

0:37:28.719 --> 0:37:31.680
<v Speaker 10>quarter here in twenty twenty four, you know, I would

0:37:31.719 --> 0:37:34.880
<v Speaker 10>say that things have largely stabilized and you know, the

0:37:35.680 --> 0:37:38.439
<v Speaker 10>business I think is poised for you know, a nice

0:37:38.480 --> 0:37:40.719
<v Speaker 10>recovery trajectory here as we move, you know, through this

0:37:40.880 --> 0:37:41.759
<v Speaker 10>year and into next year.

0:37:42.120 --> 0:37:44.319
<v Speaker 2>Before I let you go, we got jobs Friday coming up.

0:37:44.400 --> 0:37:47.320
<v Speaker 2>You got a blood ADP. We had a super strong

0:37:47.400 --> 0:37:50.919
<v Speaker 2>manufacturing ism data. We got a good jolt number. How's

0:37:50.960 --> 0:37:51.799
<v Speaker 2>your hiring front?

0:37:51.880 --> 0:37:52.600
<v Speaker 6>Are you hiring?

0:37:52.760 --> 0:37:53.160
<v Speaker 3>Are you not?

0:37:53.440 --> 0:37:55.960
<v Speaker 7>What is it like to get and retain talent?

0:37:57.239 --> 0:37:57.439
<v Speaker 5>Yeah?

0:37:57.440 --> 0:37:59.120
<v Speaker 10>I mean you mentioned a lot of you know, leading

0:37:59.160 --> 0:38:01.680
<v Speaker 10>indicators there that that I think we look at, and

0:38:01.840 --> 0:38:03.719
<v Speaker 10>you know, we also look at a whole host of

0:38:03.800 --> 0:38:07.960
<v Speaker 10>other you know, levels of you know, activity and laboratories, funding,

0:38:08.120 --> 0:38:11.800
<v Speaker 10>capital markets, you know, the pipelines. I think we just

0:38:11.880 --> 0:38:14.200
<v Speaker 10>kind of put all that together and it does certainly

0:38:14.320 --> 0:38:17.680
<v Speaker 10>signal you know, I think strong momentum in our in

0:38:17.760 --> 0:38:20.959
<v Speaker 10>our space, and you know, has this incredibly optimistic about

0:38:20.960 --> 0:38:24.319
<v Speaker 10>where things are headed. Talent is is critical to us,

0:38:24.440 --> 0:38:26.840
<v Speaker 10>and you know, we're we're proud of the fourteen thousand

0:38:26.920 --> 0:38:29.359
<v Speaker 10>plus associates that we have around the world that are

0:38:29.360 --> 0:38:32.279
<v Speaker 10>focused on, you know, growing our business and serving our

0:38:32.800 --> 0:38:36.400
<v Speaker 10>customers and helping enable some of these breakthrough therapies that

0:38:36.440 --> 0:38:39.440
<v Speaker 10>are that are being developed, and you know, We're continuously

0:38:39.560 --> 0:38:42.200
<v Speaker 10>in the market, you know, adding capabilities, whether that be

0:38:43.440 --> 0:38:45.480
<v Speaker 10>you know, new new capabilities to serve some of the

0:38:45.560 --> 0:38:48.160
<v Speaker 10>new modalities like selling gene therapy or you know, some

0:38:48.239 --> 0:38:52.640
<v Speaker 10>of the digital capabilities around AI and automation. But you know,

0:38:52.719 --> 0:38:54.480
<v Speaker 10>we've got a global footprint. We're in one hundred eighty

0:38:54.520 --> 0:38:58.200
<v Speaker 10>countries around the world, and so you know, this is

0:38:58.239 --> 0:39:01.320
<v Speaker 10>the heart of our business ours and we continue to

0:39:01.400 --> 0:39:03.279
<v Speaker 10>lean in to make sure that we have the right

0:39:03.320 --> 0:39:05.200
<v Speaker 10>capabilities to serve our customers.

0:39:05.360 --> 0:39:06.279
<v Speaker 2>All right, Michael, thanks lot.

0:39:06.400 --> 0:39:07.880
<v Speaker 7>We really appreciate Michael S. Doublefield.

0:39:07.920 --> 0:39:12.279
<v Speaker 2>He's a ban Tour CEO joining us from Allentown, Pennsylvania.

0:39:12.440 --> 0:39:14.520
<v Speaker 2>That stock is up by one point two percent today,

0:39:14.680 --> 0:39:17.800
<v Speaker 2>up ten percent plus for the year. As I mentioned,

0:39:17.960 --> 0:39:22.120
<v Speaker 2>zero cells and five hold with seventeen buys, sixteen buys

0:39:22.200 --> 0:39:23.880
<v Speaker 2>something like that, a lot of buys there on the

0:39:23.920 --> 0:39:25.560
<v Speaker 2>stock with an average price target of the next twelve

0:39:25.560 --> 0:39:27.400
<v Speaker 2>months or about twenty seven dollars.

0:39:27.640 --> 0:39:32.120
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0:39:32.360 --> 0:39:35.520
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0:39:35.560 --> 0:39:38.719
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0:39:39.040 --> 0:39:42.399
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0:39:42.560 --> 0:39:45.520
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0:39:45.800 --> 0:39:47.560
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