WEBVTT - Making Use of Digital Strategy for Business Growth

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<v Speaker 1>This is Bloomberg Business Week. I'm Carol Masser and I'm

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<v Speaker 1>Bloomberg Quick Takes Tim Stanibek. We're here every day bringing

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<v Speaker 1>you the latest news from the world of business and finance,

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<v Speaker 1>plus technology, politics, economics, all partnising the power of Business

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<v Speaker 1>Week reporters and editors, not to mention our journalists and

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<v Speaker 1>analysts in more than one twenty countries. You can download

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<v Speaker 1>Bloomberg Business Week on iTunes, SoundCloud, or Bloomberg dot Com.

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<v Speaker 1>You can also listen to our radio show at two

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<v Speaker 1>pm Eastern Time on Bloomberg Radio or watch us on

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<v Speaker 1>YouTube search Bloomberg Global News. Yesterday, you might recall we

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<v Speaker 1>talked with Peace Lamp He's the chief strategy officer at

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<v Speaker 1>work Day. We talked about digital transformation, the changing world

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<v Speaker 1>of how we work well embracing digital strategies. They are

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<v Speaker 1>definitely everywhere, including a massive company best known for its

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<v Speaker 1>industrial construction and mining machines. Tim, we are talking, of

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<v Speaker 1>course about Caterpillar. Yeah, I'm familiar with it. It's my

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<v Speaker 1>three and a half year old's favorite company that exists.

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<v Speaker 1>I mean, we're talking about the world's leading manufacturer construction

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<v Speaker 1>and mining equipment, Caterpillar. UM tractor. Well you are now

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<v Speaker 1>Arlow's best friend a grand It's pretty cool. Let's get

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<v Speaker 1>to Aggie red Zick, chief digital officer for Caterpillar, who

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<v Speaker 1>joins this vias here from Scottsdale, Arizona. Really great to

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<v Speaker 1>have you with us this afternoon. Thanks so much for

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<v Speaker 1>taking the time. When we think Caterpillar, I mean we

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<v Speaker 1>are talking heavy equipment, We're talking construction, we're talking mining equipment.

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<v Speaker 1>I mean, in a sense, this is stuff that's powered

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<v Speaker 1>by diesel, and it's the it's quite kind of the

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<v Speaker 1>antithesis of digital. But talk to me about how you

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<v Speaker 1>guys harness digital. Now, first of all, good afternoon, Carroll,

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<v Speaker 1>Good afternoon, Tim. Um. I hope you're three year old

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<v Speaker 1>would like a little moti greater than I have my kids.

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<v Speaker 1>My kids love it, Um. Digital. Digital really enables Caterpillar.

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<v Speaker 1>I mean, you know cateripilars history, you know, been around

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<v Speaker 1>hundred years, kind of invented the track tip tractor and

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<v Speaker 1>figure out how to put gasoline versus a steam engine,

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<v Speaker 1>and and really kind of changed so many industries since that.

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<v Speaker 1>We view digital as a big enabler for our dealers

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<v Speaker 1>and customers to continue innovating in the new world if

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<v Speaker 1>you're building all around us, so you know what we're doing,

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<v Speaker 1>namely just my team. We have a team about four engineers.

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<v Speaker 1>We collect data from more than one point two million

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<v Speaker 1>assets that Caterpillar has out in the field. We like

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<v Speaker 1>that data. We actually put the data in a useful

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<v Speaker 1>information We create services on top of the data and

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<v Speaker 1>every past uh information back to our customers so that

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<v Speaker 1>they can operate their fleet letters. They can know where

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<v Speaker 1>their equipment is, how hard it's working. And we have

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<v Speaker 1>many interesting applications we give to our customers and our

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<v Speaker 1>dealers so they can improve the operation of the fleet. Well,

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<v Speaker 1>you know what's interesting too, And I want to just

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<v Speaker 1>if I can just step away from some of the

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<v Speaker 1>digital work you guys are doing, specifically because you touched

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<v Speaker 1>about data and how that UM. You know, data is

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<v Speaker 1>such an important part of what you do. And one

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<v Speaker 1>of the things that we love about UM Caterpillar is

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<v Speaker 1>that you guys are so into collecting lots of data points.

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<v Speaker 1>And if I can just for a moment, though, tap

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<v Speaker 1>into what the data points tell you about kind of

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<v Speaker 1>our broader world, our macro world, which has been a

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<v Speaker 1>theme that we have been hammering in particular over the

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<v Speaker 1>last week or so, because we look at inflation concerns

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<v Speaker 1>about growth, we're looking at the continued digital transformation of

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<v Speaker 1>the world and how that can be uncomfortable as we

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<v Speaker 1>move towards it when you look at that, and you

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<v Speaker 1>guys are known for your data collection and what it

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<v Speaker 1>tells us about the global economy. So if I can

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<v Speaker 1>just step back for a moment, what does that tell

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<v Speaker 1>us about our world right now? Well, obviously we don't

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<v Speaker 1>really talk much about data that we dislob collect from

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<v Speaker 1>our customers. We primarily use the data to help our

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<v Speaker 1>customers with applications that they use day in and day out.

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<v Speaker 1>But certainly, um, you know, we have increased number of

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<v Speaker 1>assets out there that keep collecting the data and uh

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<v Speaker 1>and and leveraging that or benefit to the customers. And

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<v Speaker 1>I can tell you that, you know, the world is

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<v Speaker 1>continuing to come along our customers. We have growing number

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<v Speaker 1>of customers using our platforms every day, so they extract

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<v Speaker 1>more information from mouths. They use our autonomy solution, for example,

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<v Speaker 1>more than ever before. So there's definitely a desire and

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<v Speaker 1>an appetite for data to be shared back with our

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<v Speaker 1>customers in a meaningful way where they can actually leverage

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<v Speaker 1>the applications that we built. Well, that's what I was

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<v Speaker 1>going to ask you. You know, in terms of what's

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<v Speaker 1>top of mind you know for your customers. You know,

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<v Speaker 1>whether it's energy, transportation, construction, forming, which is you guys

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<v Speaker 1>play into so much of what is our global economy?

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<v Speaker 1>What is top of mind for them? Well, look, I

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<v Speaker 1>mean the key for them is to be able to

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<v Speaker 1>operate their fleet as effectively as they can. It's important

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<v Speaker 1>for them to be able to get parts from us,

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<v Speaker 1>from our dealers, It's important for them to transact with

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<v Speaker 1>us in a seamless way. So when we look at

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<v Speaker 1>the investment that we're making a digital for example, we

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<v Speaker 1>make investment to help our customers with condition launching. So

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<v Speaker 1>we have a team on people that build very advanced

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<v Speaker 1>machine learning tools that it can actually take information from

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<v Speaker 1>let's say mining truck and a mind figured out two

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<v Speaker 1>best amounts of data that we collect from it that

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<v Speaker 1>there's potential issue that may merge over the next week

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<v Speaker 1>or so. And if you can get in front of

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<v Speaker 1>that problem with our customers, save and hundreds of thousands

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<v Speaker 1>of dollars of one plan downtime and actually get the

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<v Speaker 1>right part, in the right service eegnuation in front of

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<v Speaker 1>the customer and in that mind that it will be

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<v Speaker 1>tremendously valuable to the customer. So they're looking at these

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<v Speaker 1>digital technologies that we that we helped deploy to them,

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<v Speaker 1>is a way for them to save on the operational

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<v Speaker 1>costs we use the downtime. It's really important for our customers.

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<v Speaker 1>You can imagine that each one of these mining trucks,

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<v Speaker 1>it's tens of thousands of dollars per hour if it's

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<v Speaker 1>not operational, uh, for for the mining operator. But also

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<v Speaker 1>we make it very easy for them to get parts,

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<v Speaker 1>to get service, to book service to other parts online.

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<v Speaker 1>We we've just recently share the breed through our dealers

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<v Speaker 1>and the network do more than ten billions of parts

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<v Speaker 1>sales every day on our online e commerce channels and

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<v Speaker 1>we except expect that to continue growing. So we can

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<v Speaker 1>imagine making it very easy for our customers to get

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<v Speaker 1>their spare spare parts, to get the spare parts in

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<v Speaker 1>the right moment, in the right time they need them,

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<v Speaker 1>and our dealers are there to help help customers with

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<v Speaker 1>that transisi. Hey, is this also playing into what's going

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<v Speaker 1>on with climate change? And I'm just curious in terms

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<v Speaker 1>of the data points and is how is that maybe

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<v Speaker 1>translating into helping out your customers digitally, uh and ultimately

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<v Speaker 1>leading to more growth for them. Sure, I mean a

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<v Speaker 1>very simple way. We have a tool we called vision Link.

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<v Speaker 1>It's one of the fleet management tools that kind of

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<v Speaker 1>the factor standard in the industry UM and this tool

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<v Speaker 1>will tell fleet operators, for example, how much CEO two

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<v Speaker 1>they're emitting. So it's very simple. If you obviously drill

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<v Speaker 1>a little deeper, you can see how is your fleet

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<v Speaker 1>doing when it comes to idling versus operating the engine

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<v Speaker 1>for and clearly if you have an idle time, you

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<v Speaker 1>want to try to reduce it because of ambitions that

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<v Speaker 1>you're going to get with it. And also you know,

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<v Speaker 1>you want to just make sure that you extend useful

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<v Speaker 1>life of the asset that you have to the maximum.

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<v Speaker 1>So there are tools that we developed in digital that

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<v Speaker 1>actually help our customers operate those fleets more effectively. Hey,

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<v Speaker 1>what does this do for stickiness when it comes to

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<v Speaker 1>customers and Caterpillar machinery when they're ready to go and

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<v Speaker 1>actually buy a new piece of equipment for mining or

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<v Speaker 1>for construction. Does having this digital offering having the data

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<v Speaker 1>about what they're working on. Uh, does that make them

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<v Speaker 1>more likely to continue to buy a piece from Caterpillar

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<v Speaker 1>rather than from a competitor? And what is the data

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<v Speaker 1>show us about that? But absolutely total operating costs of

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<v Speaker 1>what really matters to our customers. It is critical for

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<v Speaker 1>us to make sure and demonstrate to our customers that

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<v Speaker 1>operating costs of owning pieces of machinery from Caterpillar is

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<v Speaker 1>better than from our competitors. If you look for example,

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<v Speaker 1>I mean, I'll give you some some data. Um customers

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<v Speaker 1>that come to us and start using our digital to

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<v Speaker 1>digital tools to to buy parts to transact with us

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<v Speaker 1>actually end up buying and those that just do it

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<v Speaker 1>over the counter, and not only do they buy more

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<v Speaker 1>of what they previously bought, but they also have an

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<v Speaker 1>opportunity to explore more of what we offer and therefore

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<v Speaker 1>they buy more scutes things that they have bout for

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<v Speaker 1>and they also have much broader spectrum of solution that

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<v Speaker 1>we can offer them when they see them in nice,

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<v Speaker 1>nice and order digital catalog for example. So I give

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<v Speaker 1>you some idea of how valuable we think these tools are.

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<v Speaker 1>Well and talk to us about you know, we we've

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<v Speaker 1>been getting into how what you guys are doing can

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<v Speaker 1>help customers write clients in terms of their digital transformation.

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<v Speaker 1>How does this though, the digital transformation that's happening with

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<v Speaker 1>you guys and focusing on this, how is that translating

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<v Speaker 1>into growth and how will it in the years to

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<v Speaker 1>come on Caterpillar in terms of impacting top and bottom lines. Yeah,

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<v Speaker 1>absolutely so. I gave you a data point of ten

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<v Speaker 1>million dollars in deal with part sales per business day

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<v Speaker 1>today and we expected that will grow fifty in the

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<v Speaker 1>next three years. That's one data point. Another interesting data

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<v Speaker 1>point is we've put a lot of effort and energy

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<v Speaker 1>in our machine learning capability to give better leads to

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<v Speaker 1>our dealers. So we use twenty different data sources. Obviously

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<v Speaker 1>data for machine we look at engineering information and look

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<v Speaker 1>at thematics, UH information, data from from service, and we

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<v Speaker 1>collect all of that. We come up with a very

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<v Speaker 1>precise recommendation to our dealers to go and visit a

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<v Speaker 1>customer because we know that there is a particular need

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<v Speaker 1>of going to materialize in a moment. We just started

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<v Speaker 1>that effort three years ago. Really in two thousand and

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<v Speaker 1>twenty one, we did about a billion dollars of closed one,

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<v Speaker 1>so deal that actually resulted in sale and we expected

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<v Speaker 1>already will be doing about two millions sale. But during

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<v Speaker 1>the excuse me sorry, as as we've been seeing supply

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<v Speaker 1>chains just you know, reach havoc upon during the pandemic,

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<v Speaker 1>did that type of data even matter, like did you

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<v Speaker 1>have the equipment to send those dealers? We did. We

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<v Speaker 1>actually had the best parts availability in one. So obviously

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<v Speaker 1>there's been a lot of hard work from many people.

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<v Speaker 1>I know my team is you know, went all over

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<v Speaker 1>the world to find the chips that we needed and

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<v Speaker 1>often had to replace them with different chips. And then

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<v Speaker 1>the engineering work to ensure that these new chips will

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<v Speaker 1>work is effectively as the pre those chips. So there's

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<v Speaker 1>a lot of effort that goes into it. But clearly, um,

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<v Speaker 1>you know, when it comes to for example, parts availability,

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<v Speaker 1>which is what matters. One was actually pretty goodyear. Now

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<v Speaker 1>we continue to have challenges and supply changes like everybody

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<v Speaker 1>else in the in the industry. I'm not at liberty

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<v Speaker 1>to to predict when those will get better. But again

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<v Speaker 1>we're doing everything that weekend and I think, uh uh

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<v Speaker 1>are doing a reason need good job, well you know what,

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<v Speaker 1>and just building on that you know in terms of

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<v Speaker 1>digital transformation, you hear digital, you do think about sony

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<v Speaker 1>conductors and chips specifically. And we've all had some really

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<v Speaker 1>smart conversations and thoughtful conversations about where we need to

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<v Speaker 1>be manufacturing, where we need to get our supplies, and

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<v Speaker 1>we are increasingly hearing, certainly from a US story, that

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<v Speaker 1>it needs to be closer to home. And you guys sell, um,

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<v Speaker 1>I think it was it roughly about twenty two billion

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<v Speaker 1>in North America and then I think more than that

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<v Speaker 1>outside of North America. So when you think about where

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<v Speaker 1>those supply chains need to be, does it make sense?

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<v Speaker 1>We talked with the mayor of Columbus, Ohio UH into

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<v Speaker 1>making a big investment in that city specifically to build

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<v Speaker 1>out a semiconductor presence. Is it really smart? Do you

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<v Speaker 1>agree that we need to be building this closer to

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<v Speaker 1>where we're selling uh and for the United States to

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<v Speaker 1>kind of step up and bring production home. Well, ultimately,

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<v Speaker 1>you know, I'm probably not the expert to tell you

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<v Speaker 1>where the factories should be, but I can tell you

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<v Speaker 1>that would you buy, you need and you need to

0:11:23.559 --> 0:11:27.240
<v Speaker 1>have access, right, It's critical, critical for us to have

0:11:27.440 --> 0:11:30.800
<v Speaker 1>access to chips, absolutely and if that means if we

0:11:30.880 --> 0:11:33.680
<v Speaker 1>need to do more in the United States, absolutely we'll'll

0:11:33.720 --> 0:11:37.120
<v Speaker 1>be fully supportive of that. But right now, I mean

0:11:37.120 --> 0:11:39.840
<v Speaker 1>we're still years away from anything in Ohio coming online.

0:11:39.920 --> 0:11:41.719
<v Speaker 1>We still have, you know, short term issues if you

0:11:41.760 --> 0:11:43.559
<v Speaker 1>need to resolve and those chips need to come from

0:11:43.600 --> 0:11:45.599
<v Speaker 1>somewhere else. Well, I have to say it's great to

0:11:45.679 --> 0:11:47.680
<v Speaker 1>check in with you. A few years ago I did

0:11:47.720 --> 0:11:49.439
<v Speaker 1>a deep dive on the company, spent some time in

0:11:49.480 --> 0:11:52.120
<v Speaker 1>the proving ground out in Illinois, got to drive um

0:11:52.640 --> 0:11:58.120
<v Speaker 1>some vehicle attractor. But it's interesting in terms of how

0:11:58.160 --> 0:12:01.560
<v Speaker 1>this company, you know, continues to brace technology, including the

0:12:01.559 --> 0:12:04.400
<v Speaker 1>digital world, the digital transformation. It makes sense whether they're

0:12:04.400 --> 0:12:06.560
<v Speaker 1>doing it internally or for their for their customers. Why

0:12:06.600 --> 0:12:08.280
<v Speaker 1>don't we do a remote where we do this from

0:12:08.280 --> 0:12:10.960
<v Speaker 1>the tractor. I loved it. Man, were a hard cool,

0:12:11.559 --> 0:12:14.000
<v Speaker 1>self driving tractors so that we can go to tough

0:12:14.080 --> 0:12:16.319
<v Speaker 1>mining areas so you don't put people at risk. It's

0:12:16.320 --> 0:12:19.839
<v Speaker 1>pretty amazing. Aggie Redzick. He is Chief Digital Officer over Caterpillar,

0:12:20.000 --> 0:12:22.880
<v Speaker 1>joining us via Zoom from Scottsdale, Arizona. Coming up, we're

0:12:22.920 --> 0:12:26.640
<v Speaker 1>checking in with Steve Kase talking more transformation This is

0:12:26.679 --> 0:12:30.600
<v Speaker 1>Bloomberg Business Week with Carol Masser and Bloomberg Quick Takes

0:12:30.720 --> 0:12:34.760
<v Speaker 1>Tim Stinovic on Bloomberg Radio. Well, the World Health Organization

0:12:34.800 --> 0:12:37.560
<v Speaker 1>out with some new research what they call invisible numbers

0:12:37.600 --> 0:12:41.120
<v Speaker 1>about the impact of noncommunicable diseases what to do about

0:12:41.160 --> 0:12:42.680
<v Speaker 1>them n C D s to him. You're talking about

0:12:42.679 --> 0:12:48.119
<v Speaker 1>cardiovascular diseases, cancer, diabetes, chronic respiratory diseases, along with mental health.

0:12:48.559 --> 0:12:51.400
<v Speaker 1>They all together under that n C d umbrella caused

0:12:51.400 --> 0:12:53.640
<v Speaker 1>nearly three quarters of deaths in the world. The impact

0:12:53.720 --> 0:12:57.400
<v Speaker 1>and quality of life, the global economy and global productivity,

0:12:57.480 --> 0:12:59.599
<v Speaker 1>it's really massive. So we're going to take kind of

0:12:59.640 --> 0:13:02.600
<v Speaker 1>a look at healthcare space, the cost, especially when you

0:13:02.600 --> 0:13:05.080
<v Speaker 1>think about things like higher inflation factoring that in. Yeah,

0:13:05.080 --> 0:13:07.720
<v Speaker 1>I'm really glad you brought up that inflation element because

0:13:07.800 --> 0:13:09.560
<v Speaker 1>we know that health care is a significant portion of

0:13:09.600 --> 0:13:12.840
<v Speaker 1>duding here in the US. About, um, what does it

0:13:12.840 --> 0:13:15.440
<v Speaker 1>mean when everyone's paying higher prices for things? For that,

0:13:15.480 --> 0:13:18.280
<v Speaker 1>we turned to Eileen Flick. She's senior vice president director

0:13:18.320 --> 0:13:23.400
<v Speaker 1>of Health Technology Technological Technical Services. Excuse me at seageal Uh,

0:13:23.440 --> 0:13:26.240
<v Speaker 1>it's a benefits an HR consulting firm. Eileen great to

0:13:26.240 --> 0:13:28.720
<v Speaker 1>have you with us this afternoon. How are you good?

0:13:28.760 --> 0:13:30.599
<v Speaker 1>Thank you for having me. We'll talk to us a

0:13:30.640 --> 0:13:32.880
<v Speaker 1>little bit about some of the data that Carol just

0:13:32.920 --> 0:13:36.280
<v Speaker 1>shared and the idea of Um. Obviously, these are preventable

0:13:36.280 --> 0:13:39.960
<v Speaker 1>diseases in many cases. Uh, the question is there's the

0:13:40.040 --> 0:13:43.280
<v Speaker 1>benefit the cost benefit analysis that happens here right. Costs

0:13:43.320 --> 0:13:46.400
<v Speaker 1>so much to actually treat these things when people they

0:13:46.400 --> 0:13:48.560
<v Speaker 1>do affect people and they end up being hospitalized and

0:13:48.880 --> 0:13:51.920
<v Speaker 1>long term care facilities. How do we start to treat

0:13:51.960 --> 0:13:54.199
<v Speaker 1>them earlier so it doesn't end up costing as much

0:13:54.240 --> 0:13:57.240
<v Speaker 1>and so people are healthier. Um, Well, that that is

0:13:57.280 --> 0:13:59.559
<v Speaker 1>the key. UM. So I mean I just want to

0:13:59.600 --> 0:14:01.600
<v Speaker 1>address before I even get to that, I just want

0:14:01.600 --> 0:14:06.840
<v Speaker 1>to just mentioned that that you know, healthcare is expected

0:14:06.880 --> 0:14:09.640
<v Speaker 1>to increase next year and inflation is at a forty

0:14:09.679 --> 0:14:12.480
<v Speaker 1>year high, so I do expect, you know, it to

0:14:12.760 --> 0:14:15.640
<v Speaker 1>drive up medical costs over the next year. But there

0:14:15.640 --> 0:14:18.199
<v Speaker 1>there is a lot that can be done to reduce

0:14:18.840 --> 0:14:22.440
<v Speaker 1>the costs and to to treat people earlier. So, I mean,

0:14:22.600 --> 0:14:24.760
<v Speaker 1>benefit plants can do a lot that. I mean, what

0:14:25.160 --> 0:14:28.640
<v Speaker 1>you could do is really promote using lower cost settings. Um.

0:14:28.680 --> 0:14:32.040
<v Speaker 1>You could do things like promote use of walking clinics

0:14:32.080 --> 0:14:35.320
<v Speaker 1>and urgent care centers for non life threatening acute care needs.

0:14:35.760 --> 0:14:40.880
<v Speaker 1>Anytime patient is using hospital owned facility for care, they

0:14:40.920 --> 0:14:45.120
<v Speaker 1>generally pay warfare services. So there's you know, there's very

0:14:45.120 --> 0:14:48.240
<v Speaker 1>many times maybe the only and best option, but there's

0:14:48.400 --> 0:14:52.120
<v Speaker 1>capabilities and access for alternative care centers, and they've grown

0:14:52.160 --> 0:14:55.880
<v Speaker 1>tremendously in the past decade. And I think with UM,

0:14:55.920 --> 0:14:59.320
<v Speaker 1>with with the pandemic, there's been a lot more promotion.

0:14:59.400 --> 0:15:01.040
<v Speaker 1>You know, there's been a lot more access to just

0:15:01.680 --> 0:15:04.520
<v Speaker 1>UM care outside of the hospital. So the ad patient

0:15:04.600 --> 0:15:07.120
<v Speaker 1>care in general has just been her tremendous lines and

0:15:07.160 --> 0:15:10.240
<v Speaker 1>those poor I say, these poor urgent care centers you

0:15:10.280 --> 0:15:11.680
<v Speaker 1>know who you know, over the last year have just

0:15:11.720 --> 0:15:14.080
<v Speaker 1>been flooded with patients for COVID tests. I mean, we

0:15:14.080 --> 0:15:16.320
<v Speaker 1>certainly have to to figure something out so they're not

0:15:16.360 --> 0:15:19.040
<v Speaker 1>bursting at the seams. Hey, Elean, Um, you mentioned that

0:15:19.080 --> 0:15:21.440
<v Speaker 1>inflation is take is the causing the price of healthcare

0:15:21.520 --> 0:15:23.720
<v Speaker 1>to go up. We're gonna see open enrollment, I think

0:15:23.880 --> 0:15:26.200
<v Speaker 1>for a lot of companies in the near future. Um,

0:15:26.280 --> 0:15:28.440
<v Speaker 1>are we going to see sticker shock as employees at

0:15:28.440 --> 0:15:30.200
<v Speaker 1>many of these companies when we start to see how

0:15:30.280 --> 0:15:33.960
<v Speaker 1>much more our premiums are going to go up? Well,

0:15:34.000 --> 0:15:37.480
<v Speaker 1>it depends on the plan sponsor. I mean, I think

0:15:37.600 --> 0:15:41.320
<v Speaker 1>in plants, plants should expect on on average, and we've

0:15:41.320 --> 0:15:43.840
<v Speaker 1>seen this in our healthcare costumes. Are we So the

0:15:44.200 --> 0:15:48.480
<v Speaker 1>survey basically showing that medical plan costs are expected to

0:15:48.600 --> 0:15:51.160
<v Speaker 1>increase at an annual rate of seven to eight percent

0:15:51.200 --> 0:15:55.560
<v Speaker 1>in three Now, you know, we've seen that trends were

0:15:55.600 --> 0:15:59.080
<v Speaker 1>actually they had gone down significantly because people were not

0:15:59.080 --> 0:16:01.760
<v Speaker 1>were differing care. And now we're seeing between the inflationary

0:16:01.840 --> 0:16:04.360
<v Speaker 1>environment and people actually using services, and now there's been

0:16:04.440 --> 0:16:07.120
<v Speaker 1>enough to conservices. I think, um that you know, we're

0:16:07.120 --> 0:16:10.120
<v Speaker 1>seeing that they're going up a lot. That that said,

0:16:10.160 --> 0:16:12.480
<v Speaker 1>it's not at the same level as what we're seeing

0:16:12.520 --> 0:16:17.040
<v Speaker 1>for inflation UM inflation, I would think the medical care

0:16:17.640 --> 0:16:20.880
<v Speaker 1>is price price inflation has actually gone up just in

0:16:21.440 --> 0:16:26.640
<v Speaker 1>general UM for overall overall consumer of goods, and medical

0:16:26.720 --> 0:16:30.160
<v Speaker 1>price is probably a little bit behind, and it's behind

0:16:30.200 --> 0:16:33.800
<v Speaker 1>because of timing and provider contracting and commercial plans. So

0:16:33.840 --> 0:16:35.920
<v Speaker 1>I think that it's it's embedded in those rates to

0:16:36.000 --> 0:16:38.240
<v Speaker 1>some extent, but it's probably going to increase over the

0:16:38.240 --> 0:16:42.800
<v Speaker 1>next couple of years. You know, I wonder what the

0:16:42.800 --> 0:16:44.760
<v Speaker 1>the right conversation is to be having at this point

0:16:44.840 --> 0:16:50.720
<v Speaker 1>healthcare and the costs to society, to um individuals, to companies,

0:16:50.840 --> 0:16:54.520
<v Speaker 1>just to the economy. We've been talking about this for years.

0:16:54.560 --> 0:16:57.400
<v Speaker 1>II lean and I do wonder, you know, you guys

0:16:57.400 --> 0:17:00.280
<v Speaker 1>are looking at how inflation is impacting healthcare costs? I mean,

0:17:00.400 --> 0:17:02.320
<v Speaker 1>should we be looking at something like and I talked

0:17:02.320 --> 0:17:04.240
<v Speaker 1>about n c d s at the top. I mean

0:17:04.840 --> 0:17:07.520
<v Speaker 1>n c d S, which touched so many of our

0:17:07.560 --> 0:17:10.359
<v Speaker 1>lives either directly or through people we know? Is there

0:17:10.480 --> 0:17:12.880
<v Speaker 1>something that we can think about in terms of lifestyle

0:17:12.880 --> 0:17:15.560
<v Speaker 1>preventive care. So maybe the question to be asked is,

0:17:15.680 --> 0:17:19.120
<v Speaker 1>you know, how can preventive care impact healthcare costs? There's

0:17:19.160 --> 0:17:22.040
<v Speaker 1>smarter conversation. We were have to turn things upside down

0:17:22.480 --> 0:17:24.960
<v Speaker 1>and how we approach healthcare where we would get a

0:17:24.960 --> 0:17:27.760
<v Speaker 1>better outcome in terms of quality of life as well

0:17:27.800 --> 0:17:31.080
<v Speaker 1>as when it comes to the cost equation. I mean,

0:17:31.160 --> 0:17:34.520
<v Speaker 1>definitely and prevented. There's definitely opportunity with preventive care. And

0:17:34.720 --> 0:17:37.880
<v Speaker 1>I think we've seen even with the pandemic that there

0:17:37.880 --> 0:17:40.199
<v Speaker 1>are a lot of people who didn't like to, you know,

0:17:40.240 --> 0:17:43.359
<v Speaker 1>take their preventive care screenings and and there are people

0:17:43.359 --> 0:17:46.119
<v Speaker 1>that are now getting you know, diagnosed with lead stage cancers.

0:17:46.160 --> 0:17:48.560
<v Speaker 1>So preventive careacters is always a smart thing to do

0:17:48.640 --> 0:17:52.639
<v Speaker 1>in general. And um, under you know, there's any opportunity

0:17:52.680 --> 0:17:55.879
<v Speaker 1>you can you have to to get to care sooner.

0:17:56.240 --> 0:17:58.880
<v Speaker 1>It is always going to catch things earlier and avoid

0:17:59.080 --> 0:18:02.440
<v Speaker 1>uh you know, high cost m claim outcomes. So that's

0:18:02.480 --> 0:18:06.000
<v Speaker 1>definitely a smart thing to do, alright, And so doing

0:18:06.040 --> 0:18:07.720
<v Speaker 1>a matter well, you know, everyone just prevent a high

0:18:07.720 --> 0:18:11.200
<v Speaker 1>cost claim and improved outcomes early on. How sticky are

0:18:11.240 --> 0:18:13.480
<v Speaker 1>we only have twenty seconds left only? But how stickier

0:18:13.520 --> 0:18:15.600
<v Speaker 1>healthcare costs? Like do they come down or do they

0:18:15.640 --> 0:18:19.200
<v Speaker 1>just stay high? If they go higher? Um, there's there's

0:18:19.080 --> 0:18:21.199
<v Speaker 1>a sticky as a plan sponsor is in terms of

0:18:21.240 --> 0:18:23.640
<v Speaker 1>managing their costs, and there's lots that can be done

0:18:23.680 --> 0:18:26.399
<v Speaker 1>to do that. And so I think, um, you know,

0:18:26.480 --> 0:18:28.840
<v Speaker 1>plant sponsor really needs to look at their data to

0:18:28.920 --> 0:18:31.880
<v Speaker 1>understand what is driving their costs and using their data

0:18:31.920 --> 0:18:35.520
<v Speaker 1>they can come to affective strategies you know, to mitigate increases. Well,

0:18:35.560 --> 0:18:37.640
<v Speaker 1>great to check in with you. I Lean Flex, Senior VP,

0:18:37.760 --> 0:18:40.840
<v Speaker 1>Director of Health Technical Services at Seagull. There and employee

0:18:40.840 --> 0:18:44.000
<v Speaker 1>benefits and HR consulting firms. She joins us via zoom

0:18:44.000 --> 0:18:46.440
<v Speaker 1>from basch Or in New York. You're listening to Bloomberg

0:18:46.480 --> 0:18:50.160
<v Speaker 1>Business Week with Carol Masser and Bloomberg Quick Takes Tim

0:18:50.240 --> 0:18:54.400
<v Speaker 1>Stinovic on Bloomberg Radio. Well, folks, we know getting back

0:18:54.400 --> 0:18:56.520
<v Speaker 1>to work for the most part, DC back in swing,

0:18:56.520 --> 0:18:58.400
<v Speaker 1>and that leads us to a Bloomberg Business Week story

0:18:58.400 --> 0:19:01.719
<v Speaker 1>about the massively popular video app owned by a Chinese company.

0:19:01.720 --> 0:19:04.960
<v Speaker 1>We are talking about TikTok and it's charm offensive around

0:19:04.960 --> 0:19:07.760
<v Speaker 1>its lottice critics you could just call it's kind of addicting,

0:19:07.800 --> 0:19:12.199
<v Speaker 1>like cigarettes. It is. What's that? TikTok? Tiktoky? What's Up?

0:19:12.240 --> 0:19:15.520
<v Speaker 1>Was the last segment exactly. I mean, in a sense,

0:19:15.920 --> 0:19:17.879
<v Speaker 1>Facebook wishes it would have you been able to snag

0:19:17.920 --> 0:19:20.680
<v Speaker 1>TikTok instead of What's Up, But that's an entirely different story.

0:19:21.160 --> 0:19:24.160
<v Speaker 1>Joining us, we got Josh Brustein, Technology editor for Bloomberg

0:19:24.200 --> 0:19:25.720
<v Speaker 1>Business so he joins us on the phone from New

0:19:25.800 --> 0:19:28.280
<v Speaker 1>York City. Joshua, good to have you with us this afternoon.

0:19:28.320 --> 0:19:30.240
<v Speaker 1>We're also gonna be hearing from Joel Webber, the editor

0:19:30.280 --> 0:19:34.040
<v Speaker 1>of Bloomberg Business Week from our Bloomberg Interactive broker studio Joshua,

0:19:34.040 --> 0:19:35.399
<v Speaker 1>I want to start with you as you edited this

0:19:35.400 --> 0:19:38.600
<v Speaker 1>piece by Alex Branka and Emily burn Bomb. If people

0:19:38.640 --> 0:19:43.399
<v Speaker 1>haven't been following the TikTok saga, just explain what has uh,

0:19:43.600 --> 0:19:49.080
<v Speaker 1>you know, Republicans, Democrats and then tech critics so concerned

0:19:49.119 --> 0:19:53.920
<v Speaker 1>about the ownership of the app. Sure, so, as you said,

0:19:53.960 --> 0:19:59.359
<v Speaker 1>TikTok is a really popular social video app, competitor to

0:19:59.760 --> 0:20:02.960
<v Speaker 1>a out of the US based social media apps, um,

0:20:03.040 --> 0:20:06.680
<v Speaker 1>you know, Instagram, Facebook and so on. And in addition

0:20:06.720 --> 0:20:10.720
<v Speaker 1>to kind of the general distrust of all tech products

0:20:10.800 --> 0:20:15.199
<v Speaker 1>that work like this and questions about, um, you know,

0:20:15.280 --> 0:20:18.240
<v Speaker 1>how people are using them, whether the algorithm is manipulative,

0:20:18.680 --> 0:20:23.080
<v Speaker 1>there's the added twist that TikTok is owned by a

0:20:23.160 --> 0:20:27.200
<v Speaker 1>Chinese company and thus raises a lot of questions suspicions

0:20:27.240 --> 0:20:31.800
<v Speaker 1>about its connection to the Chinese government. Um, and so

0:20:32.080 --> 0:20:35.720
<v Speaker 1>lawmakers and others have questions about, you know, what kind

0:20:35.720 --> 0:20:39.600
<v Speaker 1>of data on US users is ending up on servers

0:20:39.640 --> 0:20:44.119
<v Speaker 1>in Beijing, Um, you know what, what sort of how

0:20:44.160 --> 0:20:50.320
<v Speaker 1>these algorithms might be furthering Chinese government political priorities and

0:20:50.400 --> 0:20:53.480
<v Speaker 1>just generally kind of tapping into that increased hostility between

0:20:53.520 --> 0:20:56.320
<v Speaker 1>the US and China. Alright, so Joshua breaking down some

0:20:56.359 --> 0:20:58.160
<v Speaker 1>of the concerns there, Jill Weber, you know, I feel

0:20:58.160 --> 0:21:00.840
<v Speaker 1>like we've seen this playbook before. Company gets in trouble,

0:21:01.240 --> 0:21:04.439
<v Speaker 1>sends crew down, a d C, spends money, talks to

0:21:05.560 --> 0:21:09.440
<v Speaker 1>lawmakers to try and fix things. Uh. Sounds familiar, right,

0:21:09.520 --> 0:21:13.800
<v Speaker 1>tech company? Um, most of those are our US based Uh.

0:21:13.920 --> 0:21:16.720
<v Speaker 1>You know, so this one's a little different, Um, And

0:21:16.760 --> 0:21:19.359
<v Speaker 1>that that is I think part of the TikTok challenge

0:21:19.359 --> 0:21:21.200
<v Speaker 1>here is like how do you how do you actually

0:21:21.280 --> 0:21:23.560
<v Speaker 1>thread this needle and and you know, go on this

0:21:23.640 --> 0:21:28.320
<v Speaker 1>charm offensive. But then, as the story UM explores, the

0:21:28.400 --> 0:21:31.160
<v Speaker 1>charm offensive is only directed at certain people. There's other

0:21:31.200 --> 0:21:34.040
<v Speaker 1>people that the charms definitely just not going to work on,

0:21:34.119 --> 0:21:37.919
<v Speaker 1>and so they're just like steering entirely around them. But

0:21:38.000 --> 0:21:39.639
<v Speaker 1>josh the other thing to kind of mention here is

0:21:39.680 --> 0:21:42.520
<v Speaker 1>actually just the scale of the lobbying ambitions, because I

0:21:42.560 --> 0:21:45.520
<v Speaker 1>think that's the other war partner, because it's like there's

0:21:45.560 --> 0:21:47.240
<v Speaker 1>like an r o I here where I think Kiktok

0:21:47.240 --> 0:21:48.800
<v Speaker 1>looked at it was like, you know, we kind of

0:21:48.800 --> 0:21:51.600
<v Speaker 1>need to show up. But maybe not show up for

0:21:51.640 --> 0:21:53.879
<v Speaker 1>like a decade, like you know, Facebook is just like

0:21:53.880 --> 0:21:58.600
<v Speaker 1>in football game. So Josh talk to us about that strategy,

0:21:58.640 --> 0:22:04.600
<v Speaker 1>because it does look like it's been very u tactful. Perhaps. Yeah, absolutely,

0:22:04.640 --> 0:22:07.560
<v Speaker 1>I think that tik cook is it's a much younger

0:22:07.640 --> 0:22:10.640
<v Speaker 1>company than Meta, UM and some of the other Silicon

0:22:10.720 --> 0:22:13.800
<v Speaker 1>Valley companies that are getting into trouble. So it's been

0:22:13.840 --> 0:22:18.239
<v Speaker 1>scaling up UM since scaling up pretty pretty rapidly. Uh.

0:22:18.960 --> 0:22:24.919
<v Speaker 1>They spent UM about two point one million dollars on

0:22:25.040 --> 0:22:30.520
<v Speaker 1>lobbying in the last period, which UM was that's I

0:22:30.560 --> 0:22:32.200
<v Speaker 1>think a year to date or I'm sorry, that's a

0:22:32.280 --> 0:22:35.639
<v Speaker 1>second quarter, and UM, you know that's not Meta scale,

0:22:35.680 --> 0:22:39.800
<v Speaker 1>but that's pretty significant. UM. And I do think that

0:22:40.000 --> 0:22:43.639
<v Speaker 1>the interesting thing is, while they didn't say, UM, the

0:22:43.680 --> 0:22:45.800
<v Speaker 1>company doesn't say this on the record, UM. Part of

0:22:45.800 --> 0:22:50.680
<v Speaker 1>the reporting in this story, UH is that the company

0:22:50.960 --> 0:22:53.240
<v Speaker 1>kind of realizes there are certain people that it just

0:22:53.280 --> 0:22:57.399
<v Speaker 1>has no chance of convincing, and it's saying, UM, you know,

0:22:57.920 --> 0:23:01.480
<v Speaker 1>we just don't want to just meeting with Josh Holly

0:23:01.720 --> 0:23:04.000
<v Speaker 1>or meeting with some of the other kind of especially

0:23:04.040 --> 0:23:06.960
<v Speaker 1>strident critics. There's just no margin for us there and

0:23:07.040 --> 0:23:09.399
<v Speaker 1>so we're going to focus on trying to get someone

0:23:09.440 --> 0:23:11.280
<v Speaker 1>to listen to our story, and maybe there's just gonna

0:23:11.280 --> 0:23:13.879
<v Speaker 1>be people who won't do it at all. So what's

0:23:13.880 --> 0:23:17.920
<v Speaker 1>this potentially look like, Josh in d C Like, I mean,

0:23:18.080 --> 0:23:22.160
<v Speaker 1>it could have one outcome if Democrats UH stay in power.

0:23:22.200 --> 0:23:25.679
<v Speaker 1>It could be another if they lose seats uh and

0:23:25.800 --> 0:23:29.199
<v Speaker 1>things go to the GOP. What what kind of do

0:23:29.240 --> 0:23:32.359
<v Speaker 1>the little game three for us? What does it look like? Yeah,

0:23:32.359 --> 0:23:34.640
<v Speaker 1>I think there's a couple of things to watch here.

0:23:35.160 --> 0:23:39.760
<v Speaker 1>Number one is to watch UM Scipious, which is the

0:23:39.800 --> 0:23:44.280
<v Speaker 1>inter agency panel that looks at foreign investments that might

0:23:44.280 --> 0:23:48.720
<v Speaker 1>have national security implications. You all might remember that there

0:23:48.760 --> 0:23:52.200
<v Speaker 1>was a Cipious review started in the Trump administration looking

0:23:52.200 --> 0:23:55.720
<v Speaker 1>at TikTok's connection to the Chinese government and whether or

0:23:55.800 --> 0:23:59.680
<v Speaker 1>not UM Bite Dance, their parent company based in China,

0:23:59.720 --> 0:24:03.959
<v Speaker 1>should have to divest TikTok entirely. UM. We do have

0:24:04.000 --> 0:24:08.800
<v Speaker 1>some reporting that the company is nearing a deal with

0:24:09.000 --> 0:24:13.000
<v Speaker 1>Siphius that would allow it to not have to completely divest.

0:24:13.119 --> 0:24:16.120
<v Speaker 1>It's not completely separate from Bite Dance, so that would

0:24:16.160 --> 0:24:19.200
<v Speaker 1>be a good UM, that would be a good outcome

0:24:19.240 --> 0:24:22.920
<v Speaker 1>for them. It's a little bit less tied to partisan

0:24:23.160 --> 0:24:28.000
<v Speaker 1>um to partisan concerns, And in terms of what happens

0:24:28.080 --> 0:24:31.800
<v Speaker 1>in November, if you see Republicans take over, they just

0:24:32.600 --> 0:24:35.480
<v Speaker 1>the most harsh critics are coming from the GOP side.

0:24:35.520 --> 0:24:38.160
<v Speaker 1>So I do think that for TikTok, just in terms

0:24:38.200 --> 0:24:42.199
<v Speaker 1>of the public drubbing, a Republican victory might mean more

0:24:42.240 --> 0:24:45.200
<v Speaker 1>of that. What's the worst case scenario, Joshua here, I mean,

0:24:45.880 --> 0:24:51.240
<v Speaker 1>you can't really ban it, could you. Well, if if

0:24:51.280 --> 0:24:54.119
<v Speaker 1>if the Cifius decision goes in a way that isn't

0:24:54.240 --> 0:24:58.320
<v Speaker 1>kind of as as indicated it seems to be going,

0:24:58.359 --> 0:25:00.880
<v Speaker 1>and they did have to play divest um, I mean

0:25:00.880 --> 0:25:04.879
<v Speaker 1>that is that could be pretty disastrous. Um. There's also

0:25:05.040 --> 0:25:09.840
<v Speaker 1>some there's also some discussion the Biden administration looking at

0:25:10.359 --> 0:25:14.240
<v Speaker 1>UH an executive order, which could, depending on its wording,

0:25:14.520 --> 0:25:20.600
<v Speaker 1>severely restrict the amount of data on US citizens that

0:25:20.680 --> 0:25:24.360
<v Speaker 1>a Chinese owned company could collect. Um, a social media company,

0:25:24.600 --> 0:25:27.040
<v Speaker 1>they all collect a lot of data. UM. We don't

0:25:27.040 --> 0:25:29.239
<v Speaker 1>know what that executive order would look like, but that

0:25:29.280 --> 0:25:32.240
<v Speaker 1>could also be a pretty serious threat. UM. So I

0:25:32.240 --> 0:25:33.960
<v Speaker 1>think those are two things in the near future to

0:25:34.000 --> 0:25:37.080
<v Speaker 1>watch out for. UH. And you know, I think that

0:25:37.320 --> 0:25:40.600
<v Speaker 1>the cifiest thing is totally the elephant the room, because

0:25:40.720 --> 0:25:43.359
<v Speaker 1>if they had to divest this or or you know,

0:25:43.560 --> 0:25:45.719
<v Speaker 1>end up to another ownerships or something, you know like

0:25:45.800 --> 0:25:48.120
<v Speaker 1>that would just be you go from being number one

0:25:48.160 --> 0:25:50.280
<v Speaker 1>to something else. I know a company that would really

0:25:50.359 --> 0:25:57.280
<v Speaker 1>like that if that happened. Rhymes with Facebook platforms, I believe, Yeah,

0:25:57.280 --> 0:25:59.359
<v Speaker 1>thank you, sorry, And I guess what would happen is

0:25:59.400 --> 0:26:01.760
<v Speaker 1>what has happened now for a lot of geriatric millennials

0:26:01.800 --> 0:26:03.560
<v Speaker 1>like myself, which is all the tiktoks you end up

0:26:03.560 --> 0:26:05.800
<v Speaker 1>seeing are the ones that are on Instagram that people

0:26:05.840 --> 0:26:08.600
<v Speaker 1>repost there. Oh my god, we're living in odd times.

0:26:08.640 --> 0:26:11.119
<v Speaker 1>All right, we gotta run. Josha Brewstain, technology editor at

0:26:11.119 --> 0:26:13.600
<v Speaker 1>Bloomberg business Week. I just love going to the Congressional

0:26:13.600 --> 0:26:18.640
<v Speaker 1>football game, though. Man, this is how it works. Indeed,

0:26:18.960 --> 0:26:21.280
<v Speaker 1>and that, of course, was the editor of Bloomberg Business Week.

0:26:21.400 --> 0:26:26.760
<v Speaker 1>Jill Webber. You are listening and watching Bloomberg Radio. I'm

0:26:26.840 --> 0:26:32.840
<v Speaker 1>roam mac a journal. Yeah, but you let me drive?

0:26:33.119 --> 0:26:38.440
<v Speaker 1>Oh no, no, no, who's right? Please, I'll do the dravel.

0:26:39.680 --> 0:26:47.960
<v Speaker 1>I want to drive. It's good question drive. This is

0:26:48.000 --> 0:26:54.439
<v Speaker 1>the drive to the clothes on Bloomberg radio. All right,

0:26:54.440 --> 0:26:56.439
<v Speaker 1>everybody just got about ten minutes left to in today's

0:26:56.440 --> 0:26:59.159
<v Speaker 1>trading session. Did you just say Disney shut Yeah, Disney,

0:26:59.280 --> 0:27:01.440
<v Speaker 1>We're just getting used. Disney is shutting its Florida theme

0:27:01.480 --> 0:27:04.880
<v Speaker 1>parks tomorrow and Thursday. This is Hurricane Ian Bears down

0:27:04.880 --> 0:27:07.840
<v Speaker 1>on the stage. Yeah, certainly makes sense to be careful

0:27:07.840 --> 0:27:10.440
<v Speaker 1>and obviously mid what is expected to be a pretty

0:27:10.480 --> 0:27:12.879
<v Speaker 1>pretty rough storm. All right, let's get to it. Uh,

0:27:13.000 --> 0:27:14.680
<v Speaker 1>certainly been a rough year when it comes to the market,

0:27:14.720 --> 0:27:17.160
<v Speaker 1>certainly if you're trying to be bullish, because it's certainly

0:27:17.160 --> 0:27:19.000
<v Speaker 1>been one for the bears. Jimmy Lee is founder and

0:27:19.080 --> 0:27:21.840
<v Speaker 1>chief executive officer at Wealth Consulting Group. Two point nine

0:27:21.880 --> 0:27:25.840
<v Speaker 1>billion in asset's roughly under management, once again, joining us

0:27:25.840 --> 0:27:27.960
<v Speaker 1>on the phone from Las Vegas. Jimmy Lee, how are

0:27:28.000 --> 0:27:34.199
<v Speaker 1>you great? How are you You're great? Jimmy? Do you

0:27:34.200 --> 0:27:35.960
<v Speaker 1>still have two point nine billion dollars in US that's

0:27:36.000 --> 0:27:39.920
<v Speaker 1>under management? Are you growing those? Au? M? Well, we're

0:27:39.960 --> 0:27:45.080
<v Speaker 1>sorrying our best. Let's joking about this market environment. You know,

0:27:45.080 --> 0:27:48.520
<v Speaker 1>it's a very tough time right now, as we all know. Um,

0:27:48.640 --> 0:27:51.800
<v Speaker 1>there's a lot of confusion out there amongst investors and

0:27:51.840 --> 0:27:54.760
<v Speaker 1>with I think it's really about yields and how I

0:27:54.800 --> 0:27:58.440
<v Speaker 1>interest rate your going up and as we know, everybody's

0:27:58.440 --> 0:28:01.719
<v Speaker 1>trying to predict, Um, you know what the Fed's gonna do.

0:28:02.000 --> 0:28:04.000
<v Speaker 1>Are they really going to do what they say? And

0:28:04.000 --> 0:28:06.159
<v Speaker 1>are we going to have the FED funds rate go

0:28:06.240 --> 0:28:09.199
<v Speaker 1>up another point point in the quarter and and and

0:28:09.240 --> 0:28:10.800
<v Speaker 1>if that were to happen, is it going to be

0:28:10.800 --> 0:28:15.160
<v Speaker 1>too late in terms of a potential for any kind

0:28:15.160 --> 0:28:17.879
<v Speaker 1>of a soft type landing and what we cause a

0:28:17.920 --> 0:28:21.000
<v Speaker 1>really bad economic downturn? So I think that's what the

0:28:21.040 --> 0:28:25.199
<v Speaker 1>debate is right now. Obviously, the market teetering on the

0:28:25.320 --> 0:28:28.920
<v Speaker 1>June lows and the next few days I think will

0:28:28.920 --> 0:28:32.959
<v Speaker 1>be important not just for equities but also for fixed income. So, Jimmy,

0:28:32.960 --> 0:28:35.560
<v Speaker 1>what we love talking to you for a lot of reasons, um,

0:28:35.640 --> 0:28:37.879
<v Speaker 1>but one of them is because you're talking to clients

0:28:37.880 --> 0:28:41.120
<v Speaker 1>all the time, and I'm I'm wondering what your email

0:28:41.120 --> 0:28:44.560
<v Speaker 1>inbox looks like right now? You know what what's happening

0:28:44.640 --> 0:28:46.880
<v Speaker 1>is the phone ringing off the hook? Are people concerned?

0:28:47.040 --> 0:28:50.760
<v Speaker 1>What are your clients saying? I've got some great stories

0:28:50.800 --> 0:28:54.240
<v Speaker 1>for you. So, um, you know I've been in the

0:28:54.240 --> 0:28:58.040
<v Speaker 1>business since so for over twenty seven years. I have

0:28:58.200 --> 0:29:00.600
<v Speaker 1>some clients that I still work with day that we're

0:29:00.680 --> 0:29:03.480
<v Speaker 1>invested with me to the dot com bubble back in

0:29:03.640 --> 0:29:06.440
<v Speaker 1>you know, two thousand to two thousand and two, a

0:29:06.520 --> 0:29:08.920
<v Speaker 1>lot of clients that were invested through the financial crisis

0:29:09.280 --> 0:29:12.360
<v Speaker 1>awight O nine. And then I will say that there

0:29:12.360 --> 0:29:14.440
<v Speaker 1>are a few few clients that I have personally that

0:29:14.440 --> 0:29:17.600
<v Speaker 1>I worked with, um that I've only been working with

0:29:17.680 --> 0:29:20.760
<v Speaker 1>for the last few years, that are expressing a lot

0:29:20.800 --> 0:29:23.800
<v Speaker 1>of nervousness and literally over the last day or two,

0:29:24.040 --> 0:29:27.360
<v Speaker 1>and so, you know, I think they're you know, that

0:29:27.480 --> 0:29:29.440
<v Speaker 1>type of anecdotal evidence. And I'm sure I'm not the

0:29:29.480 --> 0:29:32.600
<v Speaker 1>only advisor that is having that type of experience. And

0:29:32.640 --> 0:29:34.440
<v Speaker 1>so what I'm trying to point out is that the

0:29:34.480 --> 0:29:38.040
<v Speaker 1>investors that have experienced declines much bigger than what we're

0:29:38.040 --> 0:29:42.880
<v Speaker 1>going through today, because right now on SMP, it's not

0:29:42.920 --> 0:29:46.160
<v Speaker 1>even a typical bear market yet, right, but I think

0:29:46.200 --> 0:29:48.479
<v Speaker 1>that some people that don't have as much experience are

0:29:48.480 --> 0:29:50.480
<v Speaker 1>starting to capitulate a little bit. So I think we're

0:29:50.520 --> 0:29:53.360
<v Speaker 1>somewhere between even not panic quite yet, but we're getting

0:29:53.360 --> 0:29:57.760
<v Speaker 1>close to that emotional, you know, behavior curve where people

0:29:57.800 --> 0:30:00.280
<v Speaker 1>start to wanting to sell, and so I think it's

0:30:00.320 --> 0:30:02.080
<v Speaker 1>it's really important and we've been telling all of our

0:30:02.080 --> 0:30:05.480
<v Speaker 1>advisers recently that to double up on all the communication

0:30:05.560 --> 0:30:08.400
<v Speaker 1>with existing clients and and for our business, it's also

0:30:08.440 --> 0:30:10.360
<v Speaker 1>a great time to go out and find new people

0:30:10.360 --> 0:30:14.520
<v Speaker 1>that need to guidance. Um, when you say it's a

0:30:14.560 --> 0:30:17.760
<v Speaker 1>typical bear market, what because of all the bouncing around

0:30:17.840 --> 0:30:21.480
<v Speaker 1>or or what, Well, when you get a typical bear market,

0:30:21.560 --> 0:30:24.440
<v Speaker 1>I mean the SUPs down the third or more. So

0:30:24.520 --> 0:30:27.800
<v Speaker 1>we're not even close to that yet and I'm not

0:30:27.800 --> 0:30:29.560
<v Speaker 1>saying that this can't turn into that. And I think

0:30:29.560 --> 0:30:31.840
<v Speaker 1>that's what the debate has been, whether we go into

0:30:31.880 --> 0:30:34.280
<v Speaker 1>a recession that bear market is going to look more

0:30:34.360 --> 0:30:36.880
<v Speaker 1>like a third or more, right, And so is that

0:30:36.960 --> 0:30:41.120
<v Speaker 1>what's going to happen? And I've I've been on the

0:30:41.240 --> 0:30:43.760
<v Speaker 1>side of I'm hoping it doesn't happen. I think that

0:30:43.800 --> 0:30:47.560
<v Speaker 1>the consumer is still strong, but you know, the Feds

0:30:47.560 --> 0:30:51.800
<v Speaker 1>trying to regain some credibility for not increasing interest rates

0:30:51.840 --> 0:30:54.960
<v Speaker 1>sooner and if they're going to be bullheaded and just

0:30:55.000 --> 0:30:57.600
<v Speaker 1>kind of destroy the economy at it at the same time,

0:30:58.040 --> 0:30:59.959
<v Speaker 1>and we're starting to see some ripple effects, right, We're

0:31:00.120 --> 0:31:02.680
<v Speaker 1>wide with interest rates in different places. I think in

0:31:03.000 --> 0:31:07.200
<v Speaker 1>places like you know, um, Italy. In the UK, it's

0:31:07.200 --> 0:31:10.120
<v Speaker 1>more about sovereign issues versus what's going on here with

0:31:10.160 --> 0:31:13.040
<v Speaker 1>the FED. But you know, we're seeing yields pop in

0:31:13.080 --> 0:31:15.560
<v Speaker 1>the UK at levels that we haven't seen before in

0:31:15.600 --> 0:31:18.440
<v Speaker 1>a very long time. Here in the US, I can't

0:31:18.440 --> 0:31:21.240
<v Speaker 1>remember when we had a four percent, you know, fort

0:31:21.360 --> 0:31:25.080
<v Speaker 1>term interest rate for cash and um. And also I

0:31:25.120 --> 0:31:27.760
<v Speaker 1>can't remember when I really believe that buying bonds were

0:31:27.760 --> 0:31:30.680
<v Speaker 1>a good opportunity. So we've actually added to our Jeffery

0:31:30.720 --> 0:31:34.440
<v Speaker 1>dunlack Is is finding some interesting that. Yeah, well we

0:31:34.440 --> 0:31:37.120
<v Speaker 1>added to duration on our bond portfolios too recently by

0:31:37.160 --> 0:31:42.920
<v Speaker 1>adding some treasuries in the seven to ten year maturity range. Interesting. Um,

0:31:43.080 --> 0:31:45.200
<v Speaker 1>if you said it's a good opportunity right now at

0:31:45.200 --> 0:31:48.640
<v Speaker 1>actually provide guidance to newer, newer clients, newer customers. Are

0:31:48.640 --> 0:31:52.640
<v Speaker 1>you getting new money in this environment? Absolutely? Um. I

0:31:52.640 --> 0:31:54.960
<v Speaker 1>mean for us as advisors, money is always in motion

0:31:55.120 --> 0:31:59.959
<v Speaker 1>during times like this, So how are you pandemic? Well,

0:32:00.000 --> 0:32:02.320
<v Speaker 1>we're dollar cost averaging. So in my notes, that's one

0:32:02.320 --> 0:32:03.960
<v Speaker 1>of the things that we're still going back to the

0:32:03.960 --> 0:32:06.680
<v Speaker 1>old fundamentals, right some some things that have always worked.

0:32:07.080 --> 0:32:09.280
<v Speaker 1>So if you got dry powder, I wouldn't try to

0:32:09.280 --> 0:32:12.040
<v Speaker 1>predict today to be the market low. But adding in

0:32:12.120 --> 0:32:14.280
<v Speaker 1>today's levels, if you're long term investors, you have a

0:32:14.320 --> 0:32:16.400
<v Speaker 1>three year time arising or longer is a very smart

0:32:16.440 --> 0:32:19.520
<v Speaker 1>thing to do. If you're a retiree and you're being

0:32:19.560 --> 0:32:22.680
<v Speaker 1>forced to sell your investments at a loss because you

0:32:22.720 --> 0:32:24.480
<v Speaker 1>need to spend on I think you should go interview

0:32:24.480 --> 0:32:26.280
<v Speaker 1>a new advisor because you should have a strategy in

0:32:26.320 --> 0:32:28.960
<v Speaker 1>place that that doesn't, you know, force you to do

0:32:29.040 --> 0:32:32.200
<v Speaker 1>something like that. So most a lot of advisors have,

0:32:32.520 --> 0:32:35.520
<v Speaker 1>you know, reserve accounts set up for for spending for

0:32:35.640 --> 0:32:38.000
<v Speaker 1>retire reasons. So I think it depends on the type

0:32:38.000 --> 0:32:40.880
<v Speaker 1>of investor you are, but certainly for people that are

0:32:40.920 --> 0:32:43.440
<v Speaker 1>trying to accumulate, well, these are good times. You in

0:32:43.440 --> 0:32:46.600
<v Speaker 1>your notes that you shared with our producers and our team,

0:32:46.680 --> 0:32:49.400
<v Speaker 1>you said you reminded us that on September twenty second,

0:32:49.400 --> 0:32:51.880
<v Speaker 1>we've got a market signal where over six of American

0:32:51.880 --> 0:32:56.160
<v Speaker 1>Association of Individual Investors survey were bearish in previous readings.

0:32:56.160 --> 0:32:58.600
<v Speaker 1>When this happened, the average return till months later was

0:32:58.680 --> 0:33:02.400
<v Speaker 1>thirty for the U S in p five. Okay, Yeah,

0:33:02.480 --> 0:33:07.320
<v Speaker 1>that's a pretty significant UM metric. How should we be

0:33:07.480 --> 0:33:09.920
<v Speaker 1>reading it at this point where we're still waiting for

0:33:10.080 --> 0:33:14.960
<v Speaker 1>full market capitulation just quickly again, I mean that's another

0:33:15.080 --> 0:33:18.040
<v Speaker 1>that's another sign. So when when everybody's barish, it makes

0:33:18.040 --> 0:33:20.160
<v Speaker 1>me feel like it's not that easy to make money

0:33:20.160 --> 0:33:21.600
<v Speaker 1>in the market, whether you want to short it or

0:33:21.680 --> 0:33:25.600
<v Speaker 1>go along. So that's assistic. I think supports the view

0:33:25.680 --> 0:33:28.080
<v Speaker 1>that you know, we could get a pretty decent rally

0:33:28.160 --> 0:33:31.280
<v Speaker 1>now again, if we get some inflation reports that are

0:33:31.360 --> 0:33:35.320
<v Speaker 1>less than expected before the year end, and somehow Sherman

0:33:35.360 --> 0:33:38.080
<v Speaker 1>Powell starts to change his language a little bit to

0:33:38.240 --> 0:33:40.640
<v Speaker 1>make people think that they're going to pause sooner than

0:33:41.160 --> 0:33:43.560
<v Speaker 1>we think today. Yeah, we could have a huge rallies

0:33:43.800 --> 0:33:46.280
<v Speaker 1>at the midterm election. So that's what I would say,

0:33:46.280 --> 0:33:48.320
<v Speaker 1>So it would be optimistic and think about the long sort.

0:33:48.360 --> 0:33:50.640
<v Speaker 1>Which makes me wonder whether Charlie Evans, who talked to

0:33:50.640 --> 0:33:53.200
<v Speaker 1>CNBC like opened the door a little bit to that. Um,

0:33:53.640 --> 0:33:55.200
<v Speaker 1>I don't know whether we should read too much into it.

0:33:55.200 --> 0:33:57.320
<v Speaker 1>I think there's a lot of debate. Hey Jimmy Lee, um,

0:33:57.400 --> 0:33:59.560
<v Speaker 1>I always good to talk with you, Founder and CEO

0:33:59.680 --> 0:34:01.720
<v Speaker 1>of Wealth consultant group roughly two point nine billion, and

0:34:01.800 --> 0:34:04.800
<v Speaker 1>now so it's under management. Thanks for listening to Bloomberg

0:34:04.840 --> 0:34:08.480
<v Speaker 1>Business Week, download the podcast on iTunes, SoundCloud, or Bloomberg

0:34:08.560 --> 0:34:10.399
<v Speaker 1>dot com, and you can also listen to our radio

0:34:10.440 --> 0:34:13.040
<v Speaker 1>show at two pm Eastern on Bloomberg Radio or watch

0:34:13.080 --> 0:34:15.480
<v Speaker 1>us on YouTube. Search to Bloomberg Global News