WEBVTT - Walmart's Business Mix-Shift Aids Sales, Profit

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<v Speaker 1>Bloomberg Audio Studios, Podcasts, radio news. This is Bloomberg Business

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<v Speaker 1>Wait inside from the reporters and editors who bring you

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<v Speaker 1>America's most trusted business magazine, plus global business, finance and

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<v Speaker 1>tech news. The Bloomberg Business Week Podcast with Carol Messer

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<v Speaker 1>and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Listen to Walmart shares as we talked about at the

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<v Speaker 2>top surgeing pushing the retailer's market value over five hundred

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<v Speaker 2>billion dollars for the first time after I posted stronger

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<v Speaker 2>than expected first quarter earnings and boosted it annual.

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<v Speaker 3>Sales and profit forecasts. So we wanted to know more.

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<v Speaker 2>It's the e commerce business, it's the store business, it's

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<v Speaker 2>the average ticket spend. There's a lot going on, Tim,

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<v Speaker 2>when we talk about.

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<v Speaker 4>Well, also the outlook, we welcome Bloomberg Intelligence Senior Retail,

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<v Speaker 4>Staples and Packaged Food analyst Jen bartashis at a Bloomberg

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<v Speaker 4>Intelligence headquarters in Princeton. Okay, Jen, break it down for

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<v Speaker 4>us investors. Certainly loved it, But what do we learn

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<v Speaker 4>about the business today and what can you tell us

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<v Speaker 4>about the broader economy?

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<v Speaker 5>So we learned a couple of things about the business today.

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<v Speaker 5>The first is that some of the investments Walmart has

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<v Speaker 5>been making are really starting to play out. They're able

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<v Speaker 5>to consistently grow operating income ahead of revenue, which is

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<v Speaker 5>a great story for them to be able to tell

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<v Speaker 5>they're gaining market share, and ultimately their e commerce business

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<v Speaker 5>is a really showing signs of taking off. So all

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<v Speaker 5>of these things together really are working for the company.

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<v Speaker 5>We're also seeing that consumers are still value focused and

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<v Speaker 5>Walmart is offering that value to people not just from

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<v Speaker 5>a price perspective, but also from things like convenience, and

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<v Speaker 5>that's what's helping to draw in some of those higher

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<v Speaker 5>income households that they've been talking about.

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<v Speaker 2>Well, when it comes to what they expect in terms

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<v Speaker 2>of adjusted earnings coming at the high end or slightly

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<v Speaker 2>above its original guidance of two twenty three to two

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<v Speaker 2>thirty seven per share revenue growth of three to four

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<v Speaker 2>percent for the full year, it was it analyst just

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<v Speaker 2>too low on it, or was that's kind of what

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<v Speaker 2>the business was, and Walmart's just surprising and doing better

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<v Speaker 2>than not everybody really thought.

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<v Speaker 5>And the thought, yeah, well, Walmart, you know, came into

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<v Speaker 5>the year with their initial guidance a little bit conservative

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<v Speaker 5>because it was really unsure where where the consumer was

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<v Speaker 5>and where they would be. So you know, today they

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<v Speaker 5>nudged up that guidance.

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<v Speaker 4>A little bit.

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<v Speaker 5>They're at the high end of their previously stated range.

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<v Speaker 5>I wouldn't be surprised if at second quarter earnings they

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<v Speaker 5>actually adjust their guidance for the full year. But it's

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<v Speaker 5>really they're staying a little bit conservative just because there

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<v Speaker 5>are a lot of factors at play that affect consumers.

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<v Speaker 2>Still listen, they're massive, right, and they certainly play into

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<v Speaker 2>a certain sect. I would say, I think it's fair

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<v Speaker 2>to say of the consumer. Although we've known, you know,

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<v Speaker 2>coming off the pandemic and just other times that we

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<v Speaker 2>feel like their customer base has widened out, has it?

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<v Speaker 2>What do we know really about the demographics of who

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<v Speaker 2>is the Walmart chopper?

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<v Speaker 5>Well, historically you would have considered about fifty percent of

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<v Speaker 5>their customer base to be in that lower income household

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<v Speaker 5>type of demographic. But today what they talked about was

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<v Speaker 5>that when they did write their demographics, between those who

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<v Speaker 5>aren't under fifty thousand, those fifty thousand to one hundred

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<v Speaker 5>thousand households over one hundred thousand dollars a year. It's

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<v Speaker 5>about a third of their business each So that's a

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<v Speaker 5>meaningful shift in the way that their consumer based and

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<v Speaker 5>it really does bode well for them going forward that

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<v Speaker 5>they should be able to retain some of those higher

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<v Speaker 5>income consumers who tend to spend more and they tend

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<v Speaker 5>to buy more discretionary items as well.

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<v Speaker 4>Hey, Jen, those higher income consumers, those folks who are

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<v Speaker 4>in more than one hundred thousand dollars a year, are

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<v Speaker 4>they flocking to Walmart right now because they're looking for value?

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<v Speaker 4>Or is Walmart doing a good job of offering items

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<v Speaker 4>that those wealthier households tend to go out and shop for.

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<v Speaker 4>Which one is it? If you were to say it's one.

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<v Speaker 5>Of these things, well, I would say initially when we

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<v Speaker 5>had really high food inflation, it was the price draw.

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<v Speaker 5>But Walmart's been investing in upgrading their stores, improving the

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<v Speaker 5>customer experience, and once you got those customers in the door,

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<v Speaker 5>they saw that there were other changes that were happening

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<v Speaker 5>with regards to merchandising that is appealing to them. So

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<v Speaker 5>it's a story of two parts. The first part was price,

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<v Speaker 5>and now it's also about service conveniences that leads into

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<v Speaker 5>that omnichannel e commerce growth of over twenty one percent

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<v Speaker 5>from a global basis. People like the idea of being

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<v Speaker 5>able to order, have it shipped to their house or

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<v Speaker 5>pick it up a curbside, and that's really driving a

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<v Speaker 5>lot of the interest in the company.

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<v Speaker 4>Yeah, talk a little bit about that. How is Walmart

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<v Speaker 4>Plus doing, especially when compared to Amazon Prime. How do

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<v Speaker 4>you look at these two programs together.

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<v Speaker 5>Well, it's a good question. When I look at Walmart Plus,

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<v Speaker 5>it's really about locking in loyalty. The majority of the

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<v Speaker 5>uses for things that are shipped to home and a

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<v Speaker 5>lot of grocery orders you can order unlimited amounts, you know,

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<v Speaker 5>and have it delivered or ship. When it comes to Amazon,

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<v Speaker 5>they did launch a new subscription program for grocery at

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<v Speaker 5>nine to ninety nine a month on top of your

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<v Speaker 5>annual membership Prime fee. But so clearly Amazon is seeing

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<v Speaker 5>some of the success that Walmart has had with that

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<v Speaker 5>subscription model and see that there is a convenience play

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<v Speaker 5>to be had with consumers who are who are interested

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<v Speaker 5>in that sort of service.

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<v Speaker 4>Are the folks who are using buy online pickup in store?

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<v Speaker 4>Is it true that they're going in and actually buying

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<v Speaker 4>more once they get to the store, because that's a

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<v Speaker 4>way that you know, that's a way that companies hope,

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<v Speaker 4>that brick and mortar companies hope to get folks inside

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<v Speaker 4>the store to buy more.

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<v Speaker 5>It does happen more often than you would think, because

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<v Speaker 5>people are on their way to the store and they think, oh,

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<v Speaker 5>I forgot to add this to my order. I'm just

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<v Speaker 5>going to hop it and grab it. And when they're

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<v Speaker 5>in the store, then that adds like two or three things,

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<v Speaker 5>three things wow by the time they get to the checkout.

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<v Speaker 5>So it is something that actually really does happen. It's

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<v Speaker 5>not with every order, but it's it's more often than

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<v Speaker 5>most people would think.

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<v Speaker 3>All right, sounds really rosy.

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<v Speaker 2>And you know they also saw what traffic and unit

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<v Speaker 2>increases that helped out sales growth grocery business fueling the growth.

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<v Speaker 3>Over at Walmart.

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<v Speaker 2>Yet they did cut workers, right, They are very cognizant

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<v Speaker 2>of higher costs generally, I guess across their world as

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<v Speaker 2>well as kind of everybody's world. So any commentary color around.

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<v Speaker 5>That, Yeah, sure, Walmart is a very much an everyday

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<v Speaker 5>low cost provider as well as an everyday low price provider,

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<v Speaker 5>and part of that is really being disciplined with regards

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<v Speaker 5>to costs. Now, we saw announcements in the last month

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<v Speaker 5>about things like closing down the health clinics. We saw

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<v Speaker 5>the announcements about corporate job cuts. Those are in fact

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<v Speaker 5>likely related to a certain degree. But Walmart is one

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<v Speaker 5>of the things they do is they're not afraid to

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<v Speaker 5>try something, but if it doesn't pan out, they pull

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<v Speaker 5>back and they reassess, and so some of those cuts

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<v Speaker 5>that we saw are really a reflection of that attitude

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<v Speaker 5>towards their business.

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<v Speaker 2>Hey, if there's one business that you think that we

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<v Speaker 2>should be kind of keeping on our radar that maybe

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<v Speaker 2>Walmart's going to be moving into aggressively that could move

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<v Speaker 2>the needle top and bottom line.

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<v Speaker 3>Just twenty seconds left, what would it be?

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<v Speaker 2>I think I thought I heard you say fintech on

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<v Speaker 2>TV earlier, but I don't know if that's it.

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<v Speaker 5>If we looked at what Walmart's doing in their international

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<v Speaker 5>segment with fintech, there's a lot to be excited about.

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<v Speaker 5>And so whatever they can adapt and bring more into

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<v Speaker 5>the US and what they're trying to do with fintech

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<v Speaker 5>here could be a catalyst.

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<v Speaker 3>All right, interesting stuff.

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<v Speaker 2>As always, Hey, thank you so much Bloomberg Intelligence senior

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<v Speaker 2>retail Staples and packaged food analysts, our own Jen buttarsis

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<v Speaker 2>uh with really the rundown on everything to do with Walmart.

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<v Speaker 1>Today, you're listening to the Bloomberg Business Week podcast Can't

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<v Speaker 1>Just Live weekday afternoons from two to five pm Eastern

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<v Speaker 1>Listen on Apple car Play and and Brout Auto with

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<v Speaker 3>You may have done it or someone in your family.

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<v Speaker 2>We're talking about DNA testing with a company like twenty

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<v Speaker 2>three and me or ancestry dot com. Interesting to find

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<v Speaker 2>out more about you know, of course, where your family's

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<v Speaker 2>ancestry composition is, right, We all talk about it. We

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<v Speaker 2>find out, Hey, you know, did you know my family's

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<v Speaker 2>done it?

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<v Speaker 5>All right?

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<v Speaker 2>Well, the DNA testing industry was aiming for a bit more,

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<v Speaker 2>to a world where the medical community added genetic testing

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<v Speaker 2>to its standard operating procedures.

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<v Speaker 4>I don't know, Carol. Maybe you find out stuff you

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<v Speaker 4>don't necessarily want to know sure about your family or relative.

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<v Speaker 4>That's part of the story.

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<v Speaker 3>Hey, I've got a half sister. It's all part of

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<v Speaker 3>the cell. Don't I don't, at least I don't know.

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<v Speaker 4>Yet after here's and millions of spit kits, the doctors

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<v Speaker 4>still don't care when it comes to this type of testing,

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<v Speaker 4>at least for companies that are mass market. Mass market

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<v Speaker 4>genetic streamings remain well apart from the medical mainstream, and

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<v Speaker 4>for one of the players in the industry, twenty three

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<v Speaker 4>and meters, it's actually never made a profit. Carol. It's

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<v Speaker 4>the cover story of the new issue of Bloomberg BusinessWeek.

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<v Speaker 4>It's on newstands, it's online on the Bloomberg and here

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<v Speaker 4>with us as Bloomberg News healthcare reporter Kristin B. Brown

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<v Speaker 4>joining us in the studio.

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<v Speaker 3>Great story.

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<v Speaker 2>I'm so glad you could be here. DNA tests for everyone,

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<v Speaker 2>lots of genetic data, and bam, research gets a boost

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<v Speaker 2>and moves faster, and we create a roadmap for living

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<v Speaker 2>to age one hundred. That's in your story. That was

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<v Speaker 2>the plan.

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<v Speaker 6>That was the plan, Yes, and yet it did not

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<v Speaker 6>quite go according to plant, which I will say is

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<v Speaker 6>often the case in science. Right we have a big finding,

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<v Speaker 6>more like wow, we just have to do this like

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<v Speaker 6>one or two things, and then we'll solve all disease,

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<v Speaker 6>which is almost literally what.

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<v Speaker 3>They thought would happen.

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<v Speaker 6>With the human genome. But then as we start on

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<v Speaker 6>hangling it, we realized, oh, this is just like way

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<v Speaker 6>more complicated than we realized, and that turned out to

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<v Speaker 6>be trouble for a company. It's like twenty three and

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<v Speaker 6>meters that wanted you to be able to just spit

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<v Speaker 6>in a tube and learn, you know, all of the

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<v Speaker 6>diseases you might be at risk for, But it turns

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<v Speaker 6>out there's not just one gene for heart disease. There

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<v Speaker 6>are so many genes we don't even know what they all.

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<v Speaker 6>It's so complicated and they all interact and we don't

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<v Speaker 6>know how they interact. So they're they're trying to for

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<v Speaker 6>some of these things do what's called a polygenic risk

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<v Speaker 6>wore and say, based on all of these genes, you

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<v Speaker 6>might have a risk, But it winds up being more

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<v Speaker 6>like you're slightly more elevated to risk, not an actual

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<v Speaker 6>roadmap for what do you do to stay healthy and

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<v Speaker 6>live to one hundred.

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<v Speaker 4>And in a small portion of the folks who do

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<v Speaker 4>the test, it does come back with some sort of

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<v Speaker 4>result that says, Okay, you do have the characteristics of

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<v Speaker 4>this sort of genetic you know, I don't even know

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<v Speaker 4>the proper terminology variant, genetic variant, thank you. But then

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<v Speaker 4>treatment for that, as you note in your story, can

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<v Speaker 4>be incredibly expensive.

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<v Speaker 6>Right, So, monogenic diseases, there's a lot of them. That's

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<v Speaker 6>that's genes, a single gene that causes a disease. There's

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<v Speaker 6>a lot of them, but they're usually.

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<v Speaker 3>Very very rare.

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<v Speaker 6>And because they're rare, and the therapies are also very complicated,

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<v Speaker 6>you know, fancy high tech things, they're expensive, small population,

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<v Speaker 6>small market. So we have gotten a few of these

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<v Speaker 6>therapies so far, but definitely not the you know, therapies

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<v Speaker 6>that we expected for very common diseases like Alzheimer's, like cancer.

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<v Speaker 6>So we've gotten therapies that have a small market and so.

0:10:40.080 --> 0:10:41.559
<v Speaker 3>Therefore they're really really pricey.

0:10:41.760 --> 0:10:44.160
<v Speaker 2>We talked about people spitting in a tube. I'm not

0:10:44.200 --> 0:10:46.920
<v Speaker 2>gonna ask for show of hands in the control room.

0:10:46.960 --> 0:10:48.160
<v Speaker 3>We're here. But you did it.

0:10:48.280 --> 0:10:48.720
<v Speaker 5>I did it.

0:10:48.840 --> 0:10:50.280
<v Speaker 4>Yeah, I did not do it.

0:10:50.320 --> 0:10:52.360
<v Speaker 6>I have spitt in so many tubes in the course

0:10:52.400 --> 0:10:55.560
<v Speaker 6>of my journalism career, but I did for this particular.

0:10:55.120 --> 0:10:57.240
<v Speaker 4>Story too, And it wasn't the typical twenty three and

0:10:57.360 --> 0:10:58.679
<v Speaker 4>me twenty dollars.

0:10:58.360 --> 0:11:01.079
<v Speaker 6>Thing, right, This is a very high Yeah, so twenty

0:11:01.080 --> 0:11:05.040
<v Speaker 6>three meters. Latest offering is it's doing sequencing, not genotyping,

0:11:05.040 --> 0:11:08.920
<v Speaker 6>which is a fancier They're literally decoding every little bit

0:11:09.080 --> 0:11:11.560
<v Speaker 6>of all of the protein coding regions of your genome,

0:11:11.559 --> 0:11:15.680
<v Speaker 6>which are the ones that we think cause disease, and

0:11:16.040 --> 0:11:19.559
<v Speaker 6>in doing that they really hope to get this really holistic,

0:11:19.760 --> 0:11:24.199
<v Speaker 6>nuanced picture of the genome for me. In the sequencing,

0:11:24.240 --> 0:11:27.520
<v Speaker 6>they actually didn't find anything. And then in the genotyping,

0:11:27.520 --> 0:11:31.120
<v Speaker 6>which is a sort of more low budget option, they

0:11:31.160 --> 0:11:34.079
<v Speaker 6>found that I might be at risk risk or Celiac disease.

0:11:34.120 --> 0:11:35.880
<v Speaker 6>But I can tell you I had avocado toast this

0:11:35.960 --> 0:11:39.360
<v Speaker 6>morning for breakfast. It went fine. It went fine, So

0:11:40.800 --> 0:11:44.120
<v Speaker 6>for me at least, this is almost one thousand dollars test,

0:11:44.760 --> 0:11:48.400
<v Speaker 6>and I learned that I might have a disease that

0:11:48.480 --> 0:11:51.160
<v Speaker 6>I don't have, So I don't know, Well, did.

0:11:51.040 --> 0:11:53.240
<v Speaker 2>You do anything about that? Like I'm curious. Did it

0:11:53.360 --> 0:11:54.920
<v Speaker 2>cause you to say, well, maybe I'll have a doctor

0:11:54.960 --> 0:11:55.520
<v Speaker 2>look into this.

0:11:55.640 --> 0:11:58.200
<v Speaker 6>Well, you know, usually if you have Celiac disease, you

0:11:58.280 --> 0:12:01.040
<v Speaker 6>know you have a violent reaction when you eat gluten,

0:12:01.160 --> 0:12:03.079
<v Speaker 6>So I was I felt pretty confident. It also said

0:12:03.120 --> 0:12:06.640
<v Speaker 6>I might one day develop glaucoma, I have a slightly

0:12:06.679 --> 0:12:09.920
<v Speaker 6>increased risk, but you can't actually do anything about that.

0:12:10.120 --> 0:12:11.880
<v Speaker 6>So it's it's I don't know what to do with

0:12:11.960 --> 0:12:14.120
<v Speaker 6>that knowledge. I felt like I sort of have spent

0:12:14.160 --> 0:12:17.680
<v Speaker 6>that thousand dollars on some shoes instead. Maybe I don't know,

0:12:17.920 --> 0:12:18.720
<v Speaker 6>preach into the choir.

0:12:19.120 --> 0:12:22.319
<v Speaker 2>Well, the medical community right has been to some extent

0:12:22.360 --> 0:12:25.600
<v Speaker 2>they haven't embraced this idea. Yeah, So I mean, is

0:12:25.600 --> 0:12:27.839
<v Speaker 2>that part of the problem. Is it just a case

0:12:27.880 --> 0:12:30.520
<v Speaker 2>that it's complicated and maybe it is the right idea

0:12:30.679 --> 0:12:33.360
<v Speaker 2>or like in your reporting, like, how are like what's

0:12:33.400 --> 0:12:35.040
<v Speaker 2>the kind of feedback on this?

0:12:35.240 --> 0:12:38.440
<v Speaker 6>So I started looking into I wrote this story because

0:12:38.480 --> 0:12:41.840
<v Speaker 6>I started wondering, you know, for for the decade I've

0:12:41.920 --> 0:12:44.160
<v Speaker 6>covered this topic, people have told me, you know, this

0:12:44.200 --> 0:12:46.079
<v Speaker 6>is the year genetics is going to catch on, this

0:12:46.120 --> 0:12:48.280
<v Speaker 6>is the year, this is finally the year. No this year,

0:12:48.600 --> 0:12:51.240
<v Speaker 6>and it just it just never happened. And so I

0:12:51.280 --> 0:12:54.600
<v Speaker 6>started asking some of my longtime sources, you know, is

0:12:54.640 --> 0:12:57.560
<v Speaker 6>this is this happening? You know, what's what's the status.

0:12:57.240 --> 0:12:57.640
<v Speaker 3>Here, guys?

0:12:57.920 --> 0:12:59.960
<v Speaker 6>And I was surprised to hear from many people who

0:13:00.000 --> 0:13:03.400
<v Speaker 6>who had been boosters for the genome, who are now

0:13:03.440 --> 0:13:07.280
<v Speaker 6>saying we're not sure it's ever going to happen, and amazing, Yeah,

0:13:07.600 --> 0:13:11.080
<v Speaker 6>and you know, with science, you never you never know.

0:13:11.320 --> 0:13:14.640
<v Speaker 6>Maybe we'll turn a corner, we'll find something that will

0:13:14.679 --> 0:13:17.760
<v Speaker 6>suddenly unlock everything. But based on what we know now,

0:13:18.240 --> 0:13:23.000
<v Speaker 6>it does feel like it's just so complicated that for

0:13:23.080 --> 0:13:27.520
<v Speaker 6>the average healthy person, there won't be value really in

0:13:27.520 --> 0:13:29.560
<v Speaker 6>getting a genetic street. Now, if you have a history

0:13:29.600 --> 0:13:32.360
<v Speaker 6>of cancer in your family, if you want to become

0:13:32.400 --> 0:13:34.120
<v Speaker 6>a parent and you want to make sure you don't

0:13:34.160 --> 0:13:37.120
<v Speaker 6>have any genetic conditions lurking in your genome, you could

0:13:37.160 --> 0:13:40.000
<v Speaker 6>pass on that stuff all worth it. But if you're

0:13:40.000 --> 0:13:44.120
<v Speaker 6>just an average healthy person trying to live their best life,

0:13:45.280 --> 0:13:47.079
<v Speaker 6>it just really seems like there's not going to be

0:13:47.160 --> 0:13:48.040
<v Speaker 6>value in these tests.

0:13:48.200 --> 0:13:50.760
<v Speaker 4>It raises the question about what the future is for

0:13:50.880 --> 0:13:52.760
<v Speaker 4>twenty three and METERI, And that's a big part of

0:13:52.800 --> 0:13:55.560
<v Speaker 4>your cover story for Bloomberg Business Week, the idea that

0:13:56.160 --> 0:13:58.400
<v Speaker 4>the stock has been under pressure over the last few years,

0:13:58.400 --> 0:14:01.240
<v Speaker 4>down more than ninety four percent over that period of time.

0:14:01.320 --> 0:14:04.560
<v Speaker 4>Richard Branson lost over one hundred million dollars on it

0:14:04.600 --> 0:14:08.719
<v Speaker 4>going public. What is the future for twenty three and me?

0:14:08.800 --> 0:14:09.439
<v Speaker 4>As a business.

0:14:09.640 --> 0:14:11.920
<v Speaker 6>Yeah, So, I mean they're in a real tough spot.

0:14:12.000 --> 0:14:15.280
<v Speaker 6>They just got an extension to try and get their

0:14:15.280 --> 0:14:17.360
<v Speaker 6>stock back up over a dollar. They have until I

0:14:17.400 --> 0:14:20.680
<v Speaker 6>believe November they'll be delisted. Yeah, the concern is that

0:14:20.680 --> 0:14:23.520
<v Speaker 6>they will be delisted, and I think and a move

0:14:23.760 --> 0:14:28.280
<v Speaker 6>to prevent that from happening, CEO and Wojiski has filed

0:14:28.320 --> 0:14:32.400
<v Speaker 6>an intent to take the company private herself to you know,

0:14:32.440 --> 0:14:35.640
<v Speaker 6>buy it, buy it back basically, So that could be

0:14:35.680 --> 0:14:38.560
<v Speaker 6>one thing we see. But I think that you know,

0:14:38.640 --> 0:14:40.280
<v Speaker 6>it's a really rocky road ahead for them.

0:14:40.560 --> 0:14:43.080
<v Speaker 2>Well, you know, it's interesting and I don't know, is

0:14:43.120 --> 0:14:46.760
<v Speaker 2>this a company that might benefit being private in terms

0:14:46.840 --> 0:14:50.080
<v Speaker 2>of having the time, the luxury, maybe the money, you know,

0:14:50.160 --> 0:14:51.280
<v Speaker 2>to kind of figure this.

0:14:51.160 --> 0:14:54.840
<v Speaker 6>Out based on what the stock did when she filed

0:14:54.840 --> 0:14:56.840
<v Speaker 6>that eight k I would say that the market things

0:14:56.840 --> 0:15:00.240
<v Speaker 6>that would benefit from from going private. It's it's it's

0:15:00.280 --> 0:15:04.560
<v Speaker 6>a hard company because it's part consumer, part drug development,

0:15:04.680 --> 0:15:07.760
<v Speaker 6>and the investors in those two different kinds of companies,

0:15:07.800 --> 0:15:11.160
<v Speaker 6>and has said this herself, they kind of have different expectations.

0:15:11.160 --> 0:15:13.600
<v Speaker 6>So it's a weird blend of things, and that has

0:15:13.640 --> 0:15:16.440
<v Speaker 6>created an additional challenge on top of you know, having

0:15:16.520 --> 0:15:18.760
<v Speaker 6>a consumer product that a lot of consumers maybe don't

0:15:18.800 --> 0:15:19.400
<v Speaker 6>want anymore.

0:15:19.640 --> 0:15:23.520
<v Speaker 4>So what about the data and the data breaches that

0:15:23.560 --> 0:15:25.680
<v Speaker 4>we've heard about the security of this information? I mean

0:15:25.760 --> 0:15:28.280
<v Speaker 4>years ago, years ago, I'm going to say, my mom

0:15:28.360 --> 0:15:30.160
<v Speaker 4>was right. She was like, why would I want to

0:15:30.160 --> 0:15:33.240
<v Speaker 4>give a company this type of information once it's out there?

0:15:33.560 --> 0:15:35.560
<v Speaker 4>And I was actually defended. I was saying, no, you

0:15:35.560 --> 0:15:37.280
<v Speaker 4>know these you know, this type of stuff stays safe.

0:15:37.600 --> 0:15:39.760
<v Speaker 4>Fast forward a few years, there's a big data breach.

0:15:40.040 --> 0:15:42.640
<v Speaker 6>Yeah, I mean, Anne has said that she thinks that

0:15:42.800 --> 0:15:45.800
<v Speaker 6>privacy concerns has been one of the reasons kit sales

0:15:45.840 --> 0:15:48.040
<v Speaker 6>have slowed. She said that in the past, and you

0:15:48.080 --> 0:15:51.560
<v Speaker 6>know that could definitely be what's going on. One analyst

0:15:51.640 --> 0:15:53.320
<v Speaker 6>joke to me that twenty three and meters would probably

0:15:53.320 --> 0:15:55.280
<v Speaker 6>do better to just give the kit away for free

0:15:55.400 --> 0:15:58.840
<v Speaker 6>in exchange for getting people's data, because that is the

0:15:58.880 --> 0:16:00.840
<v Speaker 6>most valuable as they have.

0:16:01.360 --> 0:16:04.600
<v Speaker 2>How much we've talked about generative AI, and you think

0:16:04.640 --> 0:16:07.880
<v Speaker 2>about the more data that comes into the pool, whether

0:16:08.000 --> 0:16:09.920
<v Speaker 2>or not that can help kind of be a turning point,

0:16:10.120 --> 0:16:11.000
<v Speaker 2>like more information.

0:16:11.320 --> 0:16:14.480
<v Speaker 6>I mean, they have fifteen million genomes. That is one

0:16:14.520 --> 0:16:18.240
<v Speaker 6>of the biggest genetic databases on par with ancestry and

0:16:18.680 --> 0:16:22.520
<v Speaker 6>the you know, country of China. So that's that's really valuable.

0:16:22.560 --> 0:16:25.440
<v Speaker 6>And so if they can keep growing that asset, that

0:16:25.480 --> 0:16:26.080
<v Speaker 6>could be big.

0:16:26.280 --> 0:16:27.880
<v Speaker 4>And to be clear, there was a data breach of

0:16:27.920 --> 0:16:29.040
<v Speaker 4>people's personal information.

0:16:29.120 --> 0:16:31.000
<v Speaker 6>Yes, there was a data breach my personal and it

0:16:31.040 --> 0:16:32.880
<v Speaker 6>did contain some genetic information.

0:16:32.960 --> 0:16:35.760
<v Speaker 2>All right, Elizabeth our producer, YouTube producer and me, we're

0:16:35.760 --> 0:16:38.240
<v Speaker 2>both with your mom about this in terms of the information.

0:16:39.160 --> 0:16:41.760
<v Speaker 2>Any questions that you still have, you've reported this story out,

0:16:41.840 --> 0:16:45.320
<v Speaker 2>you're thinking about it, what questions are still kind of

0:16:45.320 --> 0:16:46.040
<v Speaker 2>top of mind for you?

0:16:46.160 --> 0:16:49.800
<v Speaker 6>Yeah, I mean I think for me, you know, having

0:16:49.840 --> 0:16:52.240
<v Speaker 6>covered this field for a decade, it was sort of

0:16:52.280 --> 0:16:54.760
<v Speaker 6>an existential crisis to actually do this story and be,

0:16:55.320 --> 0:16:58.600
<v Speaker 6>you know, questioning whether the thing that I have governed

0:16:58.640 --> 0:17:02.160
<v Speaker 6>for a decade really doesn't matter. So I think that

0:17:02.560 --> 0:17:05.159
<v Speaker 6>I just want to see how this science unfolds and

0:17:05.200 --> 0:17:08.040
<v Speaker 6>what value we will wind up getting from the genome,

0:17:08.080 --> 0:17:10.239
<v Speaker 6>because I don't think that it's going to wind up

0:17:10.280 --> 0:17:13.879
<v Speaker 6>having been for not that we sequenced the human genome

0:17:13.920 --> 0:17:15.639
<v Speaker 6>twenty years ago, but I think what we're going to

0:17:15.720 --> 0:17:19.040
<v Speaker 6>get isn't what we expected. So that's still to be written.

0:17:19.119 --> 0:17:19.720
<v Speaker 3>It's fascinating.

0:17:19.720 --> 0:17:21.560
<v Speaker 2>I remember kind of early on in my career, like

0:17:21.600 --> 0:17:23.840
<v Speaker 2>you know, they'd map something and we do a story,

0:17:23.880 --> 0:17:25.639
<v Speaker 2>and then when they finally completed it, like it was

0:17:25.720 --> 0:17:27.760
<v Speaker 2>just like why, you know, now we have all the

0:17:27.760 --> 0:17:29.560
<v Speaker 2>information what we can do with it? But here, we

0:17:29.600 --> 0:17:32.160
<v Speaker 2>are here, we are here, we are more to come.

0:17:32.320 --> 0:17:34.800
<v Speaker 2>That means more stories from you, more cover stories. Bloomberg

0:17:34.800 --> 0:17:37.960
<v Speaker 2>News healthcare reporter Kristin V. Brown on this week's Bloomberg

0:17:37.960 --> 0:17:40.280
<v Speaker 2>BusinessWeek cover story, which you can get online on the

0:17:40.320 --> 0:17:42.800
<v Speaker 2>Bloomberg and catch it also on the newstand.

0:17:42.920 --> 0:17:44.679
<v Speaker 4>So you didn't you haven't done one of the customers,

0:17:44.680 --> 0:17:44.879
<v Speaker 4>I have it.

0:17:44.920 --> 0:17:45.720
<v Speaker 3>One of my brothers had.

0:17:45.840 --> 0:17:48.000
<v Speaker 4>Yeah, my sister did it. But I think, okay, if

0:17:48.080 --> 0:17:49.640
<v Speaker 4>she did it, then it's out there.

0:17:49.720 --> 0:17:52.119
<v Speaker 6>Yeah, we know people, it's definitely out there.

0:17:52.320 --> 0:17:52.720
<v Speaker 4>Connected.

0:17:56.000 --> 0:17:59.840
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Listen live

0:18:00.040 --> 0:18:03.320
<v Speaker 1>each weekday starting in two pm Eastern on Applecarplay and

0:18:03.320 --> 0:18:06.320
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0:18:06.400 --> 0:18:09.920
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0:18:10.280 --> 0:18:13.280
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0:18:14.920 --> 0:18:17.520
<v Speaker 4>Sony Music group, one of the world's biggest record labels.

0:18:17.600 --> 0:18:21.000
<v Speaker 4>They got Lil naz k Selene, dionn or artists. They

0:18:21.080 --> 0:18:24.320
<v Speaker 4>came out today warning AI companies and music streaming platforms

0:18:24.520 --> 0:18:28.320
<v Speaker 4>not to use the company's content without explicit permission. They

0:18:28.320 --> 0:18:31.960
<v Speaker 4>don't want any unauthorized use in the training, development or

0:18:31.960 --> 0:18:34.560
<v Speaker 4>commercialization of AI systems. That's according to a letter obtained

0:18:34.560 --> 0:18:37.120
<v Speaker 4>by Bloomberg News. Also of note to daycare.

0:18:36.960 --> 0:18:39.200
<v Speaker 2>Ownership in a bigger exact way.

0:18:38.760 --> 0:18:40.920
<v Speaker 4>So don't use our songs to train your models. Got

0:18:40.920 --> 0:18:41.679
<v Speaker 4>the memo, You got it?

0:18:41.760 --> 0:18:41.960
<v Speaker 3>Yeah?

0:18:42.000 --> 0:18:42.320
<v Speaker 1>Okay.

0:18:42.840 --> 0:18:45.880
<v Speaker 4>Also of note today in the world of AI, ampier Computing,

0:18:45.920 --> 0:18:49.240
<v Speaker 4>the chip startup backed by Oracle teaming up with Qualcom

0:18:49.280 --> 0:18:52.080
<v Speaker 4>to make equipment for AI computing. It's an area that's

0:18:52.160 --> 0:18:54.200
<v Speaker 4>currently dominated by in video.

0:18:54.640 --> 0:18:57.040
<v Speaker 2>There's just a couple of the AI related headlines today.

0:18:57.040 --> 0:18:58.520
<v Speaker 2>I got to say every morning that we read in

0:18:58.560 --> 0:19:01.919
<v Speaker 2>there's just a lot of stuff going on, partnership, strategic alliances,

0:19:02.240 --> 0:19:05.400
<v Speaker 2>or just news from an AI related company. Fair to say,

0:19:05.560 --> 0:19:09.160
<v Speaker 2>no shortage for more on AI. We're joined by Durgat Malati.

0:19:09.400 --> 0:19:11.800
<v Speaker 2>He's head of AI at qual Comedy joins us from

0:19:11.840 --> 0:19:14.400
<v Speaker 2>San Diego. So great to have you here. With Tim

0:19:14.400 --> 0:19:18.360
<v Speaker 2>and me here on Bloomberg Business Week. Tell us kind

0:19:18.359 --> 0:19:20.760
<v Speaker 2>of about your world and what's top of mind when

0:19:20.800 --> 0:19:23.239
<v Speaker 2>it comes to AI. People say, we're early on in

0:19:23.280 --> 0:19:25.280
<v Speaker 2>this game. If it was a baseball game, it's maybe

0:19:25.359 --> 0:19:28.880
<v Speaker 2>what the first inning, perhaps, But tell us what's top

0:19:28.880 --> 0:19:30.880
<v Speaker 2>of mind when it comes to you guys at Qualcomm.

0:19:31.880 --> 0:19:35.119
<v Speaker 7>First of all, thanks for having me here. There's a

0:19:35.280 --> 0:19:37.119
<v Speaker 7>lot of things that are going on in the space

0:19:37.160 --> 0:19:40.280
<v Speaker 7>of AI as it runs on devices that you and

0:19:40.400 --> 0:19:44.240
<v Speaker 7>I usually use, whether it's handsets or phones, whether it

0:19:44.320 --> 0:19:48.080
<v Speaker 7>is tablets or PCs and so on. So let me

0:19:48.320 --> 0:19:50.240
<v Speaker 7>spend a little bit of time in terms of explaining

0:19:50.240 --> 0:19:52.800
<v Speaker 7>what's really going on out there. So in the last

0:19:52.800 --> 0:19:56.920
<v Speaker 7>two years or so ever, since generative AI started making

0:19:56.960 --> 0:20:00.879
<v Speaker 7>waves in terms of its capabilities, pretty spectacul capabilities, and

0:20:01.160 --> 0:20:04.000
<v Speaker 7>in terms of the kinds of use cases that it

0:20:04.040 --> 0:20:07.840
<v Speaker 7>can unleash. As Qualcom, we've been focused on trying to

0:20:07.880 --> 0:20:11.480
<v Speaker 7>bring that technology into devices that you and I can use.

0:20:12.240 --> 0:20:14.280
<v Speaker 7>And you know, usually one of the questions that comes

0:20:14.280 --> 0:20:16.800
<v Speaker 7>in is why why do you want to run this

0:20:16.840 --> 0:20:18.320
<v Speaker 7>on a device? Why can't you just run it on

0:20:18.359 --> 0:20:20.000
<v Speaker 7>the cloud? I mean, we do use the cloud for

0:20:20.040 --> 0:20:23.640
<v Speaker 7>so many different things and what's wrong actually, So it's

0:20:23.720 --> 0:20:25.679
<v Speaker 7>kind of important to understand what are the benefits that

0:20:25.720 --> 0:20:31.400
<v Speaker 7>you actually have when you run these amazing generitive AI

0:20:31.480 --> 0:20:35.800
<v Speaker 7>models directly on devices. The very first one is related

0:20:35.840 --> 0:20:39.720
<v Speaker 7>to privacy and security. A lot of the times when

0:20:39.720 --> 0:20:44.040
<v Speaker 7>you actually go through generative AI use cases, you might

0:20:44.080 --> 0:20:46.520
<v Speaker 7>be wondering, maybe it's just a chat pot. Maybe I

0:20:46.520 --> 0:20:49.320
<v Speaker 7>ask a question, I get a response, But it doesn't

0:20:49.359 --> 0:20:51.080
<v Speaker 7>have to be just a chat pot. It could be.

0:20:51.160 --> 0:20:55.000
<v Speaker 7>These days we use a lot more of both voice

0:20:55.040 --> 0:20:59.840
<v Speaker 7>based interaction with devices in addition to using camera and

0:21:00.040 --> 0:21:03.040
<v Speaker 7>something else to bring in additional context to the question

0:21:03.119 --> 0:21:05.840
<v Speaker 7>that you're asking. For example, you could be holding up

0:21:05.840 --> 0:21:08.000
<v Speaker 7>your phone and pointing in a certain direction and saying

0:21:08.240 --> 0:21:10.800
<v Speaker 7>what am I looking at? The question itself is meaningless

0:21:10.840 --> 0:21:12.200
<v Speaker 7>unless you kind of put in the rest.

0:21:12.080 --> 0:21:14.280
<v Speaker 4>Of the context, right, The context is important.

0:21:14.359 --> 0:21:14.720
<v Speaker 3>There you are?

0:21:16.320 --> 0:21:18.679
<v Speaker 7>You said, then that's a ton of information that's actually

0:21:18.680 --> 0:21:22.520
<v Speaker 7>going in and that information you want to actually do

0:21:22.640 --> 0:21:25.320
<v Speaker 7>process it locally. You might not be fully comfortable actually

0:21:25.320 --> 0:21:26.720
<v Speaker 7>dealing with all of this in the cloud.

0:21:26.840 --> 0:21:30.000
<v Speaker 4>So Jerga, you say, I totally get it. Why this

0:21:30.200 --> 0:21:33.199
<v Speaker 4>makes sense to have on device, whether that's a smartphone,

0:21:33.280 --> 0:21:35.520
<v Speaker 4>or a PC. We'll talk about PCs in just a minute.

0:21:35.640 --> 0:21:38.119
<v Speaker 4>You said you've been working on this a qual Com.

0:21:38.840 --> 0:21:41.240
<v Speaker 4>Why hasn't it happened yet? Why is it still something

0:21:41.240 --> 0:21:42.800
<v Speaker 4>that you're working on and not something that you've been

0:21:42.840 --> 0:21:44.639
<v Speaker 4>able to bring to market to the extent that you

0:21:44.680 --> 0:21:45.040
<v Speaker 4>want to.

0:21:46.280 --> 0:21:49.320
<v Speaker 7>So, actually, if you take a look at it, at

0:21:49.400 --> 0:21:52.120
<v Speaker 7>least on the smartphone segment, if you take a look

0:21:52.160 --> 0:21:54.800
<v Speaker 7>at some of the premium t your smartphones, whether it's

0:21:55.400 --> 0:21:58.800
<v Speaker 7>a Samsung Galaxy S twenty four or a pixel device

0:21:58.960 --> 0:22:01.680
<v Speaker 7>or something that we are seeing in China with Shaomi

0:22:01.800 --> 0:22:04.560
<v Speaker 7>and Honor and some of the other devices, all these

0:22:04.600 --> 0:22:08.920
<v Speaker 7>devices now are capable of based upon keeping aside the

0:22:08.920 --> 0:22:11.920
<v Speaker 7>pixel part, but everything else based upon snap Dragon platforms

0:22:11.960 --> 0:22:16.280
<v Speaker 7>from Pollcom, running very large language models directly on the device,

0:22:16.359 --> 0:22:19.920
<v Speaker 7>up to seven billion parameters, and these devices are now

0:22:19.960 --> 0:22:22.159
<v Speaker 7>capable of a lot more things than you're used to.

0:22:22.680 --> 0:22:25.280
<v Speaker 7>I do admit that the use cases are still gradually

0:22:25.320 --> 0:22:27.760
<v Speaker 7>waking up to what are the capabilities in the smartphones,

0:22:27.760 --> 0:22:29.880
<v Speaker 7>because that is something that takes a little bit of time.

0:22:30.280 --> 0:22:32.080
<v Speaker 7>But if you've kind of taken a look at some

0:22:32.200 --> 0:22:36.040
<v Speaker 7>of the live translate features or AI based voice assistance,

0:22:36.720 --> 0:22:40.720
<v Speaker 7>the capability to run very large models directly on device

0:22:41.160 --> 0:22:45.840
<v Speaker 7>starts today. It's already exists today in smartphones, and the

0:22:45.920 --> 0:22:48.159
<v Speaker 7>use cases are gradually coming up, and we're doing our

0:22:48.240 --> 0:22:50.040
<v Speaker 7>part on the use cases as well as I kind

0:22:50.040 --> 0:22:52.360
<v Speaker 7>of go through the rest of the discussion.

0:22:52.000 --> 0:22:55.760
<v Speaker 2>Jar you guys have you know, you've been talking about

0:22:55.800 --> 0:22:59.879
<v Speaker 2>phone specifically, but I'm assuming that you're thinking also PC

0:23:00.400 --> 0:23:03.160
<v Speaker 2>as well, And I'm just curious if that's the case,

0:23:03.200 --> 0:23:06.359
<v Speaker 2>and you know, you guys have been trying for years

0:23:06.359 --> 0:23:10.000
<v Speaker 2>to get into the PC market, Why though, hasn't it

0:23:10.080 --> 0:23:14.000
<v Speaker 2>happened so far, and why maybe is it different this

0:23:14.080 --> 0:23:17.159
<v Speaker 2>time around? If that's also on your radar and your mission.

0:23:18.320 --> 0:23:22.280
<v Speaker 7>So absolutely right, and in fact, when we think of devices,

0:23:22.359 --> 0:23:27.920
<v Speaker 7>we usually think in terms of smartphones, PCs, XR devices,

0:23:28.520 --> 0:23:31.240
<v Speaker 7>consumer and industrial iety. So it's the whole gamut of

0:23:31.280 --> 0:23:33.800
<v Speaker 7>devices that we're actually talking about. Of course, automotive sector

0:23:34.720 --> 0:23:37.600
<v Speaker 7>is in a category by itself. Let's talk about PCs

0:23:37.640 --> 0:23:40.840
<v Speaker 7>over here. There is a massive disruption that's coming to

0:23:41.080 --> 0:23:45.399
<v Speaker 7>this specific segment in the context of AIPCS. Now, the

0:23:45.400 --> 0:23:49.960
<v Speaker 7>definition of AIPC is, you know, it's up to different people,

0:23:50.000 --> 0:23:53.200
<v Speaker 7>but from our perspective. It is a PC in which

0:23:53.520 --> 0:23:55.760
<v Speaker 7>not only do you have like the equivalent of everyone

0:23:55.800 --> 0:23:58.600
<v Speaker 7>has heard about copilots, in which you are constantly using

0:23:58.680 --> 0:24:02.640
<v Speaker 7>something else that is run with which you interact with

0:24:03.200 --> 0:24:05.919
<v Speaker 7>quite frequently, and use it for productivity, whether it's in

0:24:06.000 --> 0:24:09.920
<v Speaker 7>creation of documents, edition of the editing documents, are taking

0:24:10.119 --> 0:24:13.320
<v Speaker 7>one kind of a document and translating into another, and

0:24:13.320 --> 0:24:15.480
<v Speaker 7>so on and so forth. This is what we would

0:24:15.480 --> 0:24:18.240
<v Speaker 7>call as like a on demand AI. It's a little

0:24:18.240 --> 0:24:20.440
<v Speaker 7>bit like a thadboard. You ask a question, you get

0:24:20.440 --> 0:24:23.359
<v Speaker 7>an answer. It is more, it is more to it.

0:24:23.560 --> 0:24:25.399
<v Speaker 4>Okay, So if there's more to this and we can

0:24:25.880 --> 0:24:29.960
<v Speaker 4>why do we need an AI PC to do this?

0:24:30.000 --> 0:24:33.919
<v Speaker 4>Why can't we just do this on the powerful machines

0:24:33.960 --> 0:24:35.320
<v Speaker 4>that we already have. Why do they need to be

0:24:35.359 --> 0:24:36.200
<v Speaker 4>AI specific?

0:24:37.080 --> 0:24:40.080
<v Speaker 7>So one thing that I mean these productivity tools are

0:24:41.000 --> 0:24:44.240
<v Speaker 7>they make it significantly more simpler to actually not just

0:24:44.480 --> 0:24:47.680
<v Speaker 7>interact with your device, but actually make it a lot

0:24:47.760 --> 0:24:49.320
<v Speaker 7>a lot of the things that you end up doing

0:24:49.680 --> 0:24:52.240
<v Speaker 7>tend to be far more richer in terms of the

0:24:52.280 --> 0:24:55.000
<v Speaker 7>capabilities in itself. Let me give an example of that.

0:24:55.040 --> 0:24:58.400
<v Speaker 7>By the way, imagine that you're actually on a chat

0:24:58.440 --> 0:25:01.199
<v Speaker 7>session with your colleague and you're actually talkingalking about a

0:25:01.240 --> 0:25:03.840
<v Speaker 7>specific meeting that you just had, and the next thing,

0:25:03.840 --> 0:25:06.400
<v Speaker 7>you know, something pops up saying okay, you want reready

0:25:06.440 --> 0:25:08.040
<v Speaker 7>share the meeting notes with the person and you just

0:25:08.080 --> 0:25:10.600
<v Speaker 7>lick yes and that it immediately goes in. Just think

0:25:10.640 --> 0:25:13.400
<v Speaker 7>through exactly all the things that happened in that whole process.

0:25:13.640 --> 0:25:16.119
<v Speaker 7>First of all, this is now the equivalent of what

0:25:16.160 --> 0:25:19.320
<v Speaker 7>we have been calling as pervasive AI AI, which is

0:25:19.359 --> 0:25:24.200
<v Speaker 7>constantly running inside your PC. It's actually kind of trying

0:25:24.200 --> 0:25:26.880
<v Speaker 7>to encapsulate you as the end user and the PC

0:25:27.040 --> 0:25:30.440
<v Speaker 7>into like one single state and you're constantly predicting, you're

0:25:30.480 --> 0:25:32.920
<v Speaker 7>thinking on its you know, the PC is actually kind

0:25:32.920 --> 0:25:36.520
<v Speaker 7>of almost thinking and anticipating the next move from the

0:25:36.600 --> 0:25:40.520
<v Speaker 7>user and then being very proactively helpful process.

0:25:40.600 --> 0:25:42.119
<v Speaker 2>So we've all got a couple of minutes though, So

0:25:42.240 --> 0:25:44.960
<v Speaker 2>is that why we need an AI PC?

0:25:45.160 --> 0:25:51.240
<v Speaker 7>Specifically combination of the two of the productivity tools plus

0:25:51.280 --> 0:25:55.639
<v Speaker 7>this along with a few other things associated with you know,

0:25:55.720 --> 0:25:58.520
<v Speaker 7>as a as a as a code generator, or as

0:25:58.520 --> 0:26:01.320
<v Speaker 7>a content creator. It is something thing that's constantly running

0:26:01.320 --> 0:26:04.160
<v Speaker 7>in the background. Now, keep in mind that we use

0:26:04.200 --> 0:26:07.879
<v Speaker 7>our PCs regardless of whether we are connected somewhere to

0:26:07.920 --> 0:26:10.520
<v Speaker 7>the cloud or not. I mean, the simplest example is

0:26:10.560 --> 0:26:13.040
<v Speaker 7>you might be on like a long flight and you

0:26:13.080 --> 0:26:15.200
<v Speaker 7>want to actually get some work done during the flight,

0:26:15.240 --> 0:26:17.040
<v Speaker 7>but all you have is just you and the laptop

0:26:17.080 --> 0:26:19.639
<v Speaker 7>at that point in time, regardless of what the connectivity is,

0:26:19.840 --> 0:26:22.240
<v Speaker 7>and you still want to have the same kind of productivity.

0:26:22.280 --> 0:26:25.840
<v Speaker 7>So it does actually really start growing on you. Quite

0:26:25.840 --> 0:26:28.439
<v Speaker 7>a few of us insight qualcomm have been dog footing

0:26:28.520 --> 0:26:31.600
<v Speaker 7>exactly that experience with our own internal reference designs on

0:26:31.680 --> 0:26:35.440
<v Speaker 7>these aipcs, and trust me, it does change the user expedience.

0:26:35.480 --> 0:26:39.159
<v Speaker 2>But what does an AIPC do for the consumer? What

0:26:39.200 --> 0:26:42.040
<v Speaker 2>do they get out of this? The regular consumer?

0:26:42.920 --> 0:26:45.480
<v Speaker 7>A regular consumer? I mean, if you categorize between we

0:26:45.520 --> 0:26:49.000
<v Speaker 7>talked about productivity tools, let's talk about content creation. Content

0:26:49.040 --> 0:26:51.320
<v Speaker 7>creation is also kind of a productivity in its own way,

0:26:51.400 --> 0:26:53.520
<v Speaker 7>so that part is actually quite clear. But if you

0:26:53.560 --> 0:26:56.159
<v Speaker 7>start thinking about all the other things, even when it

0:26:56.200 --> 0:26:59.160
<v Speaker 7>comes to the social interactions and emails and documents, it's

0:26:59.240 --> 0:27:01.040
<v Speaker 7>on a regular use it at the end of the day,

0:27:01.160 --> 0:27:03.440
<v Speaker 7>goes through a mix and match of these different kinds

0:27:03.480 --> 0:27:06.159
<v Speaker 7>of use cases, and we believe that it's actually a

0:27:06.200 --> 0:27:09.600
<v Speaker 7>pretty big differentiator between the before and after. Now, is

0:27:09.600 --> 0:27:11.960
<v Speaker 7>it like a big bang moment that happens? That is

0:27:11.960 --> 0:27:14.200
<v Speaker 7>something that remains to be seen. But we are on

0:27:14.240 --> 0:27:16.439
<v Speaker 7>the cusp of all these launchers that are coming up

0:27:16.440 --> 0:27:18.639
<v Speaker 7>over the next few weeks, and let's see how that

0:27:18.680 --> 0:27:19.200
<v Speaker 7>plays out.

0:27:21.080 --> 0:27:23.199
<v Speaker 4>Do you want me to be replaced Carol by an

0:27:23.200 --> 0:27:25.840
<v Speaker 4>AI PC? Is that where you're hinting at?

0:27:26.119 --> 0:27:27.960
<v Speaker 3>Come on, No, not gonna happen.

0:27:28.760 --> 0:27:33.320
<v Speaker 4>Hey, not gonna happen this year. Avatar Avatar to prepare

0:27:33.359 --> 0:27:35.879
<v Speaker 4>for the show and then the real life Carol and

0:27:35.880 --> 0:27:36.560
<v Speaker 4>Tim get to do that.

0:27:36.600 --> 0:27:39.600
<v Speaker 2>Avatars can do all the work and uh, and then

0:27:39.640 --> 0:27:42.639
<v Speaker 2>we just step in. Yeah, I'm down with that turret.

0:27:42.640 --> 0:27:45.200
<v Speaker 2>Thank you so much. Really appreciate getting some time with you.

0:27:45.640 --> 0:27:46.080
<v Speaker 3>Malati.

0:27:46.080 --> 0:27:49.160
<v Speaker 2>He's head of AI over at Qualkam, joining us from

0:27:49.200 --> 0:27:50.400
<v Speaker 2>San Diego.

0:27:52.520 --> 0:27:53.560
<v Speaker 7>Marco.

0:27:55.200 --> 0:27:55.640
<v Speaker 1>Journal.

0:27:57.160 --> 0:28:04.119
<v Speaker 4>Let me drive, honey, please, I'll travel.

0:28:04.480 --> 0:28:06.400
<v Speaker 2>I want to try.

0:28:05.200 --> 0:28:08.360
<v Speaker 8>It's good question.

0:28:12.160 --> 0:28:17.439
<v Speaker 1>This is the drive to the Clothes well down on

0:28:17.680 --> 0:28:18.600
<v Speaker 1>Bloomberg Radio.

0:28:20.840 --> 0:28:23.240
<v Speaker 4>It is that time. Can you believe it, Carol? About

0:28:23.240 --> 0:28:29.439
<v Speaker 4>eighteen minutes from the clothes on Thursday. Neur loves. They

0:28:29.480 --> 0:28:31.320
<v Speaker 4>can't stocks can't go up every day, Carol.

0:28:32.640 --> 0:28:34.359
<v Speaker 2>They can't. Okay, thank you too.

0:28:34.440 --> 0:28:34.920
<v Speaker 4>You're welcome.

0:28:34.960 --> 0:28:38.160
<v Speaker 3>I do not I know that you just started doing that.

0:28:38.280 --> 0:28:39.320
<v Speaker 4>You just started doing this.

0:28:40.360 --> 0:28:44.600
<v Speaker 3>I remember the drop during the pandemic. Yeah, great financial crisis.

0:28:45.160 --> 0:28:46.760
<v Speaker 4>I'm just kidding so much.

0:28:46.840 --> 0:28:48.000
<v Speaker 3>We're a little punchy today.

0:28:48.800 --> 0:28:50.760
<v Speaker 4>We have reason to be punchy, though, we do. You

0:28:50.840 --> 0:28:52.400
<v Speaker 4>got you got a four day week. I have a

0:28:52.440 --> 0:28:53.040
<v Speaker 4>three day week.

0:28:53.160 --> 0:28:54.080
<v Speaker 3>Yeah.

0:28:54.240 --> 0:28:55.320
<v Speaker 1>So yeah, I don't know.

0:28:55.560 --> 0:28:56.280
<v Speaker 4>This is your Friday.

0:28:56.360 --> 0:28:57.080
<v Speaker 3>Yeah, I'm happy.

0:28:57.240 --> 0:28:59.280
<v Speaker 4>Hey, I want to get Ryan Kelly's thoughts. He's Chief

0:28:59.320 --> 0:29:03.280
<v Speaker 4>investment officer portfolio manager at Hennessy Funds. Ryan manages the

0:29:03.280 --> 0:29:07.800
<v Speaker 4>Hennessy Cornerstone MidCap thirty Fund. It's concentrated a portfolio with

0:29:07.840 --> 0:29:10.760
<v Speaker 4>thirty small and mid cap stocks and carol its performance

0:29:11.280 --> 0:29:14.240
<v Speaker 4>so far this year, it's at twenty three percent. It

0:29:14.280 --> 0:29:16.240
<v Speaker 4>puts it in the ninety eighth percent tile of its peers,

0:29:16.680 --> 0:29:19.360
<v Speaker 4>and it's in the ninety eight or ninety ninth percentile

0:29:19.560 --> 0:29:21.480
<v Speaker 4>on a one, three and five year time for him too.

0:29:21.520 --> 0:29:22.960
<v Speaker 4>So pretty good performance, Ryan.

0:29:23.000 --> 0:29:24.480
<v Speaker 2>You gotta feel good. You just pack it up, go

0:29:24.520 --> 0:29:26.160
<v Speaker 2>home and say, folks were done for the year. There's

0:29:26.200 --> 0:29:30.040
<v Speaker 2>my year to date. No, so good to have you

0:29:30.120 --> 0:29:35.040
<v Speaker 2>here with us. Once again, I don't know. Do I

0:29:35.080 --> 0:29:37.240
<v Speaker 2>hate to ask like macro for you because I feel

0:29:37.240 --> 0:29:38.720
<v Speaker 2>like what we really care about is like what you're

0:29:38.760 --> 0:29:41.800
<v Speaker 2>thinking and buying because you guys kind of drill down

0:29:42.000 --> 0:29:44.920
<v Speaker 2>and have a limited portfolio. Having said that, is there

0:29:44.920 --> 0:29:46.760
<v Speaker 2>anything in the macro that you care about that you

0:29:46.800 --> 0:29:48.840
<v Speaker 2>think investors should keep on your radar that you keep

0:29:48.840 --> 0:29:49.440
<v Speaker 2>on your radar?

0:29:51.600 --> 0:29:53.600
<v Speaker 8>Well, you know, I mean, thanks for having me on.

0:29:53.640 --> 0:29:56.360
<v Speaker 8>First of all, Carol and Tim, I was looking back

0:29:56.400 --> 0:29:58.440
<v Speaker 8>and I think the first time we spoke was almost

0:29:58.760 --> 0:29:59.480
<v Speaker 8>ten years ago.

0:29:59.640 --> 0:29:59.680
<v Speaker 5>CA.

0:30:00.000 --> 0:30:03.880
<v Speaker 8>We're talking about gas utilities, so prior to the Great

0:30:03.920 --> 0:30:05.840
<v Speaker 8>Financial Crisis, as you mentioned.

0:30:06.720 --> 0:30:08.920
<v Speaker 2>Which is a reminder, right, which is a reminder we

0:30:08.960 --> 0:30:10.960
<v Speaker 2>have market cycles, That's right.

0:30:12.200 --> 0:30:14.600
<v Speaker 8>But you know, I would say that when we look

0:30:14.600 --> 0:30:18.280
<v Speaker 8>at this fund and thinking about more macro, we like

0:30:18.360 --> 0:30:21.600
<v Speaker 8>the mid cap space, and this is a mid cap portfolio,

0:30:21.800 --> 0:30:24.600
<v Speaker 8>small to mid cap. We really look at companies that

0:30:24.640 --> 0:30:28.520
<v Speaker 8>are between one and ten billion in market cap, and

0:30:28.880 --> 0:30:31.480
<v Speaker 8>we like that space for a few different reasons. Number one,

0:30:31.960 --> 0:30:34.800
<v Speaker 8>these are companies that are usually big enough that they

0:30:34.840 --> 0:30:38.760
<v Speaker 8>already have a good track record, they've already seen some growth,

0:30:38.920 --> 0:30:42.840
<v Speaker 8>they're big enough to matter, but yet they're still small

0:30:42.960 --> 0:30:46.280
<v Speaker 8>enough that they can continue to grow into different use

0:30:46.320 --> 0:30:49.640
<v Speaker 8>there whatever they or do, or whatever technology they have,

0:30:49.680 --> 0:30:53.800
<v Speaker 8>they can move it into different industries. They can continue

0:30:53.840 --> 0:30:56.360
<v Speaker 8>to grow and take market share from the bigger guys,

0:30:57.600 --> 0:30:59.920
<v Speaker 8>and that kind of puts them in a unique space.

0:31:00.080 --> 0:31:04.200
<v Speaker 8>And then we also like them because they can also

0:31:04.360 --> 0:31:07.360
<v Speaker 8>be an acquisition target for some of the larger companies

0:31:07.400 --> 0:31:09.240
<v Speaker 8>as well, and they actually could make a difference. So

0:31:09.680 --> 0:31:12.600
<v Speaker 8>for this reason we like mid caps. They also are

0:31:13.040 --> 0:31:17.560
<v Speaker 8>more attractively valued, and that's certainly helped this fund over

0:31:17.600 --> 0:31:20.560
<v Speaker 8>many years. You know, these are companies that are not

0:31:20.760 --> 0:31:23.320
<v Speaker 8>quite well, you're not going to find as many of

0:31:23.360 --> 0:31:26.480
<v Speaker 8>the you know, large cap techs that are in the

0:31:26.520 --> 0:31:29.760
<v Speaker 8>AI stocks that are trading at really high valuations. But

0:31:29.880 --> 0:31:32.240
<v Speaker 8>rather than some of these companies are, especially the ones

0:31:32.280 --> 0:31:36.880
<v Speaker 8>we look at, are you know, more attractively valued, maybe

0:31:36.960 --> 0:31:39.960
<v Speaker 8>less growth, maybe simpler and less exciting to look at.

0:31:40.120 --> 0:31:42.080
<v Speaker 4>But let's talk about some of these companies because they're

0:31:43.440 --> 0:31:46.160
<v Speaker 4>no judgment, but like they're not the shiny objects of

0:31:46.160 --> 0:31:49.680
<v Speaker 4>AI like you mentioned be kind in fact, well, look,

0:31:49.720 --> 0:31:52.480
<v Speaker 4>I mean performance speaks for itself. Yeah that's true, no question,

0:31:53.400 --> 0:31:55.560
<v Speaker 4>But I mean some people might be surprised to find

0:31:55.560 --> 0:31:58.960
<v Speaker 4>that your number one position is in the gap at

0:31:59.040 --> 0:32:02.280
<v Speaker 4>six point three percent your portfolio. This is a company

0:32:02.280 --> 0:32:05.360
<v Speaker 4>that has seriously struggled. This is not the gap of

0:32:05.400 --> 0:32:06.960
<v Speaker 4>the nineties these days.

0:32:07.000 --> 0:32:07.640
<v Speaker 8>Absolutely.

0:32:07.720 --> 0:32:10.959
<v Speaker 4>What is it about gap? Fo hows you bullish?

0:32:11.040 --> 0:32:14.960
<v Speaker 8>Sure? Well, it really just fits all their criteria. We

0:32:15.000 --> 0:32:18.480
<v Speaker 8>look for companies that are out of favor. We look

0:32:18.520 --> 0:32:21.320
<v Speaker 8>for companies that they end up being out of favor

0:32:21.440 --> 0:32:25.000
<v Speaker 8>and they show up because they're trading at lower valuations.

0:32:25.640 --> 0:32:27.600
<v Speaker 8>One of our biggest metrics that we look at is

0:32:27.600 --> 0:32:30.240
<v Speaker 8>a price to sales of less than one point five times.

0:32:30.520 --> 0:32:33.040
<v Speaker 8>That's actually pretty strict. There's only about a third of

0:32:33.040 --> 0:32:35.160
<v Speaker 8>the companies in the entire market that are trading at

0:32:35.160 --> 0:32:39.760
<v Speaker 8>one point five times sales are less. And then what

0:32:39.800 --> 0:32:43.840
<v Speaker 8>this usually gives us is either sectors or companies that

0:32:44.160 --> 0:32:47.400
<v Speaker 8>are good companies overall but just don't see that same

0:32:47.480 --> 0:32:50.600
<v Speaker 8>kind of valuation that others will. We'll see. Then what

0:32:50.640 --> 0:32:52.680
<v Speaker 8>we do is we make sure we look at only

0:32:52.760 --> 0:32:56.520
<v Speaker 8>the companies that have seen earnings growth on a year

0:32:56.680 --> 0:33:01.040
<v Speaker 8>year basis and that have three and six months positive

0:33:01.680 --> 0:33:05.840
<v Speaker 8>stock performance. If you have all that, we look at

0:33:05.880 --> 0:33:08.600
<v Speaker 8>your twelve month performance and we add you into the portfolio.

0:33:08.800 --> 0:33:11.520
<v Speaker 8>So what happens is we see this time and time again.

0:33:11.560 --> 0:33:13.600
<v Speaker 8>We saw this with Energy four years ago when nobody

0:33:13.640 --> 0:33:17.000
<v Speaker 8>liked energy. We saw at one point with homebuilders, and

0:33:17.080 --> 0:33:20.280
<v Speaker 8>we saw this year as you mentioned, with Gap and

0:33:20.320 --> 0:33:23.640
<v Speaker 8>Abercrombin Fitch and even Guests. These are all apparel retail

0:33:24.440 --> 0:33:29.200
<v Speaker 8>We bought them all prior to the holiday season, and

0:33:29.560 --> 0:33:31.880
<v Speaker 8>we buy them at a three percent position when we

0:33:31.920 --> 0:33:35.000
<v Speaker 8>rebalance in October. And as you said, Gap is now

0:33:35.160 --> 0:33:37.600
<v Speaker 8>six and a half percent, so it's doubled since we

0:33:37.680 --> 0:33:39.640
<v Speaker 8>bought it. And that's just the way that we do it.

0:33:39.680 --> 0:33:42.120
<v Speaker 8>We want to buy these companies as they have some

0:33:42.160 --> 0:33:44.600
<v Speaker 8>momentum and just hold on to them for a period

0:33:44.600 --> 0:33:48.120
<v Speaker 8>of time about a year each time, before we rebalance

0:33:48.120 --> 0:33:49.120
<v Speaker 8>again the next year.

0:33:49.320 --> 0:33:52.800
<v Speaker 2>Really interesting eight point one billion dollar market cap. The

0:33:52.840 --> 0:33:55.600
<v Speaker 2>Gap company is down to about fourteen percent of the

0:33:55.600 --> 0:33:58.160
<v Speaker 2>float is shorted up about four and a quarter percent

0:33:58.200 --> 0:34:00.520
<v Speaker 2>this year. But interesting, and I guess I think we

0:34:00.560 --> 0:34:03.920
<v Speaker 2>all are kind of waiting for some next chapter, certainly

0:34:03.920 --> 0:34:05.600
<v Speaker 2>for this name and whether I don't.

0:34:05.400 --> 0:34:06.400
<v Speaker 3>Know, we'll see where it goes.

0:34:06.520 --> 0:34:09.320
<v Speaker 2>You like, another retailer, Abercromi Fitch is in there also

0:34:10.480 --> 0:34:12.640
<v Speaker 2>I don't know take us to Is there any one

0:34:12.760 --> 0:34:17.040
<v Speaker 2>in particular that's one of your more recent ads?

0:34:18.440 --> 0:34:18.760
<v Speaker 7>Sure?

0:34:19.080 --> 0:34:19.360
<v Speaker 1>Well.

0:34:19.400 --> 0:34:21.920
<v Speaker 8>Actually, all those stocks we're talking about, except for three,

0:34:22.719 --> 0:34:25.120
<v Speaker 8>were added in October. The way that we do this

0:34:25.200 --> 0:34:27.960
<v Speaker 8>is we only rebalance once per year. So we like

0:34:28.040 --> 0:34:30.560
<v Speaker 8>to buy them and hold them and see what happens,

0:34:30.840 --> 0:34:34.760
<v Speaker 8>and we let the winners ride, and if some stocks

0:34:34.760 --> 0:34:37.160
<v Speaker 8>aren't doing well for a period of time, we continue

0:34:37.160 --> 0:34:39.399
<v Speaker 8>to own them as well. And when you buy all

0:34:39.480 --> 0:34:42.399
<v Speaker 8>stocks at an equate position at three percent three point

0:34:42.440 --> 0:34:45.399
<v Speaker 8>three percent, because there's thirty of them, we'll get some

0:34:45.480 --> 0:34:49.200
<v Speaker 8>that really outperform others. So we've talked about the retail,

0:34:49.239 --> 0:34:53.200
<v Speaker 8>the apparel retail gap in Abercrombie. We also have a couple,

0:34:53.480 --> 0:34:57.000
<v Speaker 8>believe it or not, of stocks that have done very well.

0:34:57.960 --> 0:34:59.280
<v Speaker 3>Can I say Sprouts?

0:34:59.400 --> 0:35:02.840
<v Speaker 2>Oh, in the industrial space, Sprouts is up sixty percent

0:35:02.920 --> 0:35:03.440
<v Speaker 2>this year.

0:35:03.840 --> 0:35:05.600
<v Speaker 3>It's now wow.

0:35:05.880 --> 0:35:10.560
<v Speaker 8>Yeah, that's been a great holding for us. Sprouts two companies,

0:35:11.200 --> 0:35:17.560
<v Speaker 8>Moting Manufacturing and Comfort Systems. They do HVA system HVAC systems,

0:35:17.640 --> 0:35:21.680
<v Speaker 8>they do heating and cooling, and they're up very nicely

0:35:21.719 --> 0:35:25.480
<v Speaker 8>since we purchased them last October. So these are the

0:35:25.520 --> 0:35:28.880
<v Speaker 8>types of companies that the fund buys and that we

0:35:28.960 --> 0:35:31.640
<v Speaker 8>put in the fund, and sometimes they're just not quite

0:35:31.680 --> 0:35:34.480
<v Speaker 8>as exciting or interesting as other stocks out there. But

0:35:34.960 --> 0:35:37.000
<v Speaker 8>over time, as you can see it, it's done pretty well.

0:35:37.120 --> 0:35:38.080
<v Speaker 3>You know, it's fascinating.

0:35:38.600 --> 0:35:42.120
<v Speaker 2>Modine by the way, up about seventy four percent this year,

0:35:43.000 --> 0:35:45.560
<v Speaker 2>coming back from milking, like you know, private equity and

0:35:45.600 --> 0:35:47.839
<v Speaker 2>so on and so forth, you talk to them, even

0:35:47.880 --> 0:35:50.160
<v Speaker 2>private credit. Like so many people play in that mid

0:35:50.239 --> 0:35:53.040
<v Speaker 2>cap space that we focus so much on the big

0:35:53.080 --> 0:35:55.000
<v Speaker 2>caps and then we get into kind of small caps

0:35:55.080 --> 0:35:56.680
<v Speaker 2>or venture and so on and so forth, but there's

0:35:56.760 --> 0:35:59.160
<v Speaker 2>so much happening in the mid cap space that is

0:35:59.200 --> 0:36:01.200
<v Speaker 2>so much I feel like when we talk about really

0:36:01.239 --> 0:36:03.080
<v Speaker 2>you know, backbone of the economy, it's so many of

0:36:03.120 --> 0:36:03.840
<v Speaker 2>these companies.

0:36:04.760 --> 0:36:07.120
<v Speaker 3>Ryan always fun, ten years in counting.

0:36:08.200 --> 0:36:10.879
<v Speaker 2>Really great to check in with your congratulations because you're fun,

0:36:11.040 --> 0:36:12.040
<v Speaker 2>as we said.

0:36:11.880 --> 0:36:15.120
<v Speaker 3>Just beating pretty much everyone out there. Yeah, so well done,

0:36:15.160 --> 0:36:15.560
<v Speaker 3>Well done.

0:36:15.800 --> 0:36:18.720
<v Speaker 2>Brian Kelly, chief investment Officer portfolio manager at Hennessy Funds,

0:36:18.760 --> 0:36:22.000
<v Speaker 2>joining us there from Chapel Hill, North Carolina.

0:36:22.040 --> 0:36:23.600
<v Speaker 3>I love talking names with him, and.

0:36:23.560 --> 0:36:25.719
<v Speaker 4>I love gap Abercrombie, Sprouts, Low.

0:36:25.719 --> 0:36:28.120
<v Speaker 2>Dean Manufacturing, cool, really cool stuff.

0:36:28.200 --> 0:36:28.960
<v Speaker 3>This is Bloomberg.

0:36:30.160 --> 0:36:34.799
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0:36:34.920 --> 0:36:38.160
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0:36:38.239 --> 0:36:41.640
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0:36:41.680 --> 0:36:45.000
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0:36:45.040 --> 0:36:47.920
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0:36:47.960 --> 0:36:52.880
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