WEBVTT - Understanding The Big Tech Stocks

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<v Speaker 1>Hello, and welcome to another episode of the odd Lot Podcast.

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<v Speaker 1>I'm Joe Watson Ball and I'm Tracy ellowit Tracy. You know,

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<v Speaker 1>we're right in the middle of one of my favorite

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<v Speaker 1>times of the year. Do you know what that is? Uh?

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<v Speaker 1>Super Bowl? I don't know. It's not the super Bowl,

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<v Speaker 1>and it was the super Bowl last night for those listening,

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<v Speaker 1>we're recording this the day after the super Bowl. I

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<v Speaker 1>didn't even watch it, and from what I understand, it

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<v Speaker 1>was really boring, So I guess I didn't miss out

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<v Speaker 1>in anything. I mean, it is February, but February is

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<v Speaker 1>not one of my favorite times of the year because

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<v Speaker 1>the weather is pretty miserable. No, we are in uh,

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<v Speaker 1>the middle or maybe slightly later part of the middle

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<v Speaker 1>of earning season. What makes you like earning season so much?

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<v Speaker 1>Well so, for those who don't know, and probably everyone does,

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<v Speaker 1>most companies report their earnings uh four times a year,

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<v Speaker 1>and they tend to cluster over the span of a

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<v Speaker 1>few weeks. And so much of the time we talk macro,

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<v Speaker 1>we talk about the FED, we'll talk about trade, inflation,

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<v Speaker 1>economic data or whatever. And then every once in a

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<v Speaker 1>while we get to pause and actually hear from the

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<v Speaker 1>companies themselves and really get a sort of a corporate

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<v Speaker 1>perspective on how things are going. And of course, from

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<v Speaker 1>an investor perspective, this is what really matters, because you

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<v Speaker 1>can sort of have these broad movements and other times

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<v Speaker 1>of the year, but if you want to know how

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<v Speaker 1>a sort of specific investment in companies are doing, this

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<v Speaker 1>is when you glean the most as sort of raw information.

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<v Speaker 1>So I'm going to take the other side of this

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<v Speaker 1>and say that I normally don't get that excited about

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<v Speaker 1>earning season. However, I'm willing to admit that this time

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<v Speaker 1>around it is slightly more interesting than usual. But because

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<v Speaker 1>we have a lot of really broad sort of macro

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<v Speaker 1>economic themes that everyone is currently talking about. So a

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<v Speaker 1>couple that spring to mind. You know, we have to

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<v Speaker 1>slow down in China, whether or not that's actually affecting

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<v Speaker 1>US companies earnings, and we've seen some really heavy hitters,

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<v Speaker 1>including Caterpillar and Apple sort of blame things on a

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<v Speaker 1>slowdown in China. We have the retail apocalypse in the

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<v Speaker 1>US as well, this idea that bricks and mortars stores

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<v Speaker 1>are doing worse than other types of stores. So some big,

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<v Speaker 1>big thematic issues and questions currently running through earning season. Yeah, absolutely,

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<v Speaker 1>and especially the violence sell off that we saw at

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<v Speaker 1>the end of a lot of people. You know, people

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<v Speaker 1>adjust their future expectations based on what just happened. We

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<v Speaker 1>saw earnings estimates comes down for a lot of companies,

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<v Speaker 1>and everybody wanted to know because in the end fundamentals

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<v Speaker 1>in theory or with drive markets, was that just a

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<v Speaker 1>blip or companies really seeing a decline in profits? And

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<v Speaker 1>the other thing that I think is interesting from a

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<v Speaker 1>sort of sectoral perspective is that for the last couple

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<v Speaker 1>of years, especially a handful of really red hot tech

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<v Speaker 1>stocks that everyone was about have just dominated markets. If

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<v Speaker 1>you own them, you've done really well. Of course, I'm

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<v Speaker 1>talking about companies like Amazon and Facebook and Netflix and

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<v Speaker 1>so on, Apple of course, and each one of them

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<v Speaker 1>has sort of stumbled a little bit for different reasons,

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<v Speaker 1>and they've come well off their highs from last summer,

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<v Speaker 1>and I think going forward there's still this big question

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<v Speaker 1>like are they just gonna go back to dominating their

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<v Speaker 1>respective industries like they did in or did the sharp

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<v Speaker 1>rewriting of these stocks sort of represent something fundamental where

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<v Speaker 1>they're just not going to be able to put up

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<v Speaker 1>numbers like they did in the past, right, the famous

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<v Speaker 1>fang stocks which led the market higher basically for the

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<v Speaker 1>past few years and then suddenly let it very, very

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<v Speaker 1>sharply lower in the latter half of last year. And

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<v Speaker 1>to your point about a sharp rerating, you kind of

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<v Speaker 1>have to wonder what happened to make everyone sort of

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<v Speaker 1>collectively wake up and realize that their expectations for all

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<v Speaker 1>these companies were sort of out of lack of the fundamentals. Like,

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<v Speaker 1>it's a bit chicken and egg, isn't it. Is it

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<v Speaker 1>the market or is it actually that the fundamental picture

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<v Speaker 1>has changed? Well, Uh, that's very well put. And today's

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<v Speaker 1>guest on the out Lots podcast, I think is someone

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<v Speaker 1>very well positioned to talk about it. We talked to

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<v Speaker 1>him a lot on TV around earnings time, and I thought, Okay,

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<v Speaker 1>I want to have a longer discussion about some of

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<v Speaker 1>these companies. So today we're going to be talking to

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<v Speaker 1>Lead Rogan. He is the founder and CEO of Estimized,

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<v Speaker 1>which is a company that collects by side estimates for earnings.

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<v Speaker 1>But he's also incredibly knowledgeable about the market overall, about

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<v Speaker 1>the business models of these big tech companies, about why

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<v Speaker 1>investors either get excited or lose excitement towards these companies,

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<v Speaker 1>and so just a great perspective hopefully to answer some

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<v Speaker 1>of the questions that we've posed right now. I've been

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<v Speaker 1>you follow him on Twitter. He's been covering the trend

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<v Speaker 1>we're seeing for years and years, and I think we'll

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<v Speaker 1>have a lot to say about this topic. So Lee,

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<v Speaker 1>thank you very much for joining us. That's that's way

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<v Speaker 1>too kind and introduction. No, but I'm serious because often,

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<v Speaker 1>like well, I think we tend to speak about these

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<v Speaker 1>companies and sort of we abstract them. And so Facebook

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<v Speaker 1>is online advertising and social media, or Apple they have

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<v Speaker 1>to sell a lot of iPhones. And one of the

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<v Speaker 1>things that I really enjoy talking to you about is

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<v Speaker 1>you really seem to have a very good understanding of

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<v Speaker 1>sort of where the where the levers are and where

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<v Speaker 1>the hinges are and these companies that make them tick

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<v Speaker 1>and get investors excited, and what is it about one

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<v Speaker 1>that is more exciting and appealing to investors that have

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<v Speaker 1>given time? And uh, I feel like we you can

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<v Speaker 1>drill in to a level on on some of these

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<v Speaker 1>companies in a way that most people I talk to

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<v Speaker 1>you can't. I Admittedly, personally, I think live maybe five

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<v Speaker 1>years in the future with like my interest in technology,

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<v Speaker 1>but my experience as a PM and an analyst on

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<v Speaker 1>the equity hedge fund side kind of draws me back

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<v Speaker 1>into like, what is the rational expectation for the next

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<v Speaker 1>you know, quarter year, two years in these stocks? So

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<v Speaker 1>it kind of converges at some point there. But uh, yeah,

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<v Speaker 1>we live in a time now when there's so much

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<v Speaker 1>creative destruction in tech, and the kind of destruction disruption

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<v Speaker 1>multiple has increased so much for both new technology companies

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<v Speaker 1>that get disrupted by other new technology companies as well

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<v Speaker 1>as old industrial companies and healthcare companies that get disrupted too.

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<v Speaker 1>So yeah, it's it's interesting all around. Okay, So here's

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<v Speaker 1>my first question, based on the interaction that you and

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<v Speaker 1>Joe has had. Joe said, you're very very good at

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<v Speaker 1>pulling out the different parts of different tech companies. Should

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<v Speaker 1>we be lumping all these different companies under the umbrella

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<v Speaker 1>term tech? Like for instance, we talked about the Fang stocks,

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<v Speaker 1>which is a particular subset of tech it do they

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<v Speaker 1>actually share much in common? What do we mean when

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<v Speaker 1>we say tech or thing? So the biggest thing that

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<v Speaker 1>I think is going on in a macro sense. And uh,

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<v Speaker 1>we saw it when Schumer and um Um and Sanders

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<v Speaker 1>came out and said, basically, we don't want you know,

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<v Speaker 1>companies doing buy backs. You need to provide you know

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<v Speaker 1>a certain amount of uh you know, uh upward revision

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<v Speaker 1>to your labor kind of cost. And what's going on

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<v Speaker 1>is that technology throughout the entire ecosystem is driving gross

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<v Speaker 1>margins because you need less people to generate that same

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<v Speaker 1>revenue dollar. So I think that there actually is a

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<v Speaker 1>general thing across the entire spectrum that goes on. Now.

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<v Speaker 1>Of course, you know, the business models are different, but overall,

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<v Speaker 1>the leverage that capital has on labor at this point

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<v Speaker 1>is just it's expanding so quickly. I have a friend

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<v Speaker 1>who used to be a a PM and energy PM

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<v Speaker 1>at a hedge fund here New York moved home to Austin,

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<v Speaker 1>Texas to build a energy services technology company, right because

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<v Speaker 1>he recognized that it's just so inefficient at this point,

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<v Speaker 1>even in that industry. Um and I think that's happening

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<v Speaker 1>across the board with you know, large companies and small companies.

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<v Speaker 1>So then when we talk about the facebooks and the

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<v Speaker 1>Amazons and the Netflix of the world. Where do they

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<v Speaker 1>fit into this trend? Is it that they are essentially

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<v Speaker 1>the most leveraged in terms of capital to labor or

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<v Speaker 1>are they facilitating other entities in their drive to be

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<v Speaker 1>uh more efficient? Honestly, I think it's the former. UM.

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<v Speaker 1>I believe I could be wrong with this, but I

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<v Speaker 1>believe Facebook is the company that has the highest revenue

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<v Speaker 1>dollars per employee in history. Now they've increased headcount over

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<v Speaker 1>the last year pretty substantially. I don't know if that's

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<v Speaker 1>true anymore, but it definitely used to be uh. And

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<v Speaker 1>you see that across the board. UM, it's pretty amazing

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<v Speaker 1>what's going on, honestly, UH. And then you get things

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<v Speaker 1>like Tinder, right which have just exploded in an entire

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<v Speaker 1>industry of what people care about, right, Like, what is

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<v Speaker 1>one of the most fundamental things that you have to

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<v Speaker 1>do is you find somebody to fall in love with

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<v Speaker 1>and marry and and be with. And these platforms have

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<v Speaker 1>just made life so much more efficient for people. And

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<v Speaker 1>the leverage that they have on people's dollars and time.

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<v Speaker 1>I think the other thing that people haven't quite graphed yet,

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<v Speaker 1>and it started with kind of the online games and

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<v Speaker 1>remember it from like Zinga and stuff, but it was

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<v Speaker 1>just such the like the front end of this massive

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<v Speaker 1>trend is people are generally bored. People need to find

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<v Speaker 1>things to do with their time. And the algorithms that

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<v Speaker 1>we've developed that started as linear models and now our

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<v Speaker 1>machine learning models, and the massive amounts of data that

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<v Speaker 1>we collect on people and their behavior inside of these platforms,

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<v Speaker 1>whether it's Amazon with their shopping habits, or Facebook with

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<v Speaker 1>their reading habits, or or Tinder with their you know,

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<v Speaker 1>swiping habits. It's it's on one hand, amazing and the

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<v Speaker 1>other hand, I find incredibly dangerous that these models are

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<v Speaker 1>managing people's behavior so well at this point that I'm

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<v Speaker 1>not quite sure people really understand are they getting something

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<v Speaker 1>good out of these platforms? Are they getting something but

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<v Speaker 1>out of these platforms with the platforms are are are

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<v Speaker 1>massaging their behavior so much And that's obviously flowing through

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<v Speaker 1>to their you know, are poo their average revenue per user,

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<v Speaker 1>which Facebook was up another like sevent this quarter. Um,

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<v Speaker 1>So they have so much leverage with the technology and

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<v Speaker 1>the data on our behavior now that that's only going

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<v Speaker 1>to increase that these models get better. So aside from

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<v Speaker 1>the potential societal damage. I mean, I think you just

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<v Speaker 1>enunciated the goal case. Sorry, yeah, it is of bol case.

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<v Speaker 1>It's also the like, yeah, it's fearful societally, but it

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<v Speaker 1>is the bool case, right. So the bool case is

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<v Speaker 1>sort of this, um, you know, technology and the capital

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<v Speaker 1>that tech has basically has this huge amount of leverage

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<v Speaker 1>on labor costs and that's a big advantage in today's market,

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<v Speaker 1>and so they're sort of accruing all these various benefits

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<v Speaker 1>through that. I'm curious what you think happened in the

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<v Speaker 1>fourth quarter and sort of late third quarter of last

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<v Speaker 1>year when we did have that big sort of sudden

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<v Speaker 1>disappointment or disbelief in the tech companies that had previously

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<v Speaker 1>been leaders of the market. I honestly think, you know,

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<v Speaker 1>looking at our entire data set UM, we collect estimates

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<v Speaker 1>on on everything in the US public markets as well

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<v Speaker 1>as the economic estimate data, and I think the number

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<v Speaker 1>one thing that we saw was that financial has actually

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<v Speaker 1>led to the downside, not technology. And what that said

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<v Speaker 1>to me, along with the fact that the credit markets

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<v Speaker 1>were literally frozen, the corporate credit markets stopped everything for

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<v Speaker 1>like a month and a half, that it was actually

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<v Speaker 1>more of a macro thing than it was a technology thing.

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<v Speaker 1>And the second those credit markets on froze, we got

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<v Speaker 1>this huge rebound in everything. So as things freeze up,

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<v Speaker 1>the higher beta names obviously get hit harder, and those were,

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<v Speaker 1>you know, the tech names, and portfolio managers that you

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<v Speaker 1>know have to liquidate things tend to liquidate the things

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<v Speaker 1>that have been performing best, which is not a good

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<v Speaker 1>strategy because you're supposed to hold your winners and sell

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<v Speaker 1>your losers. But that's just what happens in hedge fund

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<v Speaker 1>and asset management world. Um So the rerating of the

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<v Speaker 1>multiple for these names, I don't think it was a

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<v Speaker 1>fundamental thing. Yes, growth is slowing, obviously we are probably

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<v Speaker 1>going to have an earnings recession in f y nineteen,

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<v Speaker 1>But I don't think this was a technology specific thing.

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<v Speaker 1>I think it was just when you look at the

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<v Speaker 1>beta of some of these names, when people sold everything

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<v Speaker 1>across the board and what was kind of a slow

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<v Speaker 1>motion panic because of the credit markets. Yeah, these things

0:13:08.160 --> 0:13:11.880
<v Speaker 1>got hit the hardest. Nonetheless, we have seen some of

0:13:11.920 --> 0:13:17.200
<v Speaker 1>these big companies clearly run into some idiosyncratic stumbles and

0:13:17.320 --> 0:13:20.120
<v Speaker 1>it started actually not at the end of last year,

0:13:20.160 --> 0:13:21.960
<v Speaker 1>but in the middle of last year. The first bomb

0:13:22.160 --> 0:13:25.160
<v Speaker 1>was Facebook. I think it was one of the biggest

0:13:25.400 --> 0:13:28.440
<v Speaker 1>single day market cap losses any day, and they're like, yes,

0:13:28.480 --> 0:13:30.640
<v Speaker 1>we're going to have to spend a lot more money

0:13:30.679 --> 0:13:33.439
<v Speaker 1>than we thought. What is going on, Let's start with them.

0:13:33.480 --> 0:13:36.040
<v Speaker 1>So what is going on with Facebook right now? Because obviously,

0:13:36.040 --> 0:13:39.440
<v Speaker 1>as you said, if not currently at some point, the

0:13:39.520 --> 0:13:44.080
<v Speaker 1>greatest revenue in history per employee. But we also know

0:13:44.160 --> 0:13:47.840
<v Speaker 1>that there's numerous scandals. It's unclear the degree to which

0:13:47.840 --> 0:13:49.760
<v Speaker 1>they're really hitting the business model or if it's just

0:13:49.800 --> 0:13:52.960
<v Speaker 1>a thing that media people like to talk about. But

0:13:53.280 --> 0:13:55.600
<v Speaker 1>what is going on with Facebook's business model right now?

0:13:56.320 --> 0:13:59.640
<v Speaker 1>So as it is with the other kind of social

0:13:59.679 --> 0:14:04.040
<v Speaker 1>media companies, I think the market still has some PTSD

0:14:04.280 --> 0:14:07.760
<v Speaker 1>from the tech boom or the tech bubble, because in

0:14:07.800 --> 0:14:11.400
<v Speaker 1>the tech bubble you're talking about the one. Yeah, I don't,

0:14:11.400 --> 0:14:16.600
<v Speaker 1>I don't consider this last round. Um. I think people

0:14:16.640 --> 0:14:20.120
<v Speaker 1>are worried that as the user growth trails off, that

0:14:20.280 --> 0:14:23.680
<v Speaker 1>as it was in the tech bubble, that the business

0:14:23.720 --> 0:14:26.200
<v Speaker 1>will trail off as well, and the growth will trail off.

0:14:27.040 --> 0:14:30.760
<v Speaker 1>I think that is PTSD because it doesn't seem like

0:14:30.840 --> 0:14:34.480
<v Speaker 1>that's actually going to happen this time. Largely because we've

0:14:34.560 --> 0:14:37.720
<v Speaker 1>learned a lot, or they've learned a lot that by

0:14:37.720 --> 0:14:42.040
<v Speaker 1>buying and bundling these other platforms like WhatsApp and and

0:14:42.080 --> 0:14:45.920
<v Speaker 1>the rest, that they've kind of locked people into this ecosystem,

0:14:46.200 --> 0:14:49.520
<v Speaker 1>especially on the social side, brilliant model using oh off

0:14:49.680 --> 0:14:52.680
<v Speaker 1>to have people log into all their other stuff for

0:14:52.680 --> 0:14:55.680
<v Speaker 1>for almost forever, you couldn't do Tinder without logging in

0:14:55.800 --> 0:14:58.440
<v Speaker 1>via Facebook, right, they became the social graph instead of

0:14:58.480 --> 0:15:02.920
<v Speaker 1>just another social platform. So I think people were and

0:15:03.000 --> 0:15:05.880
<v Speaker 1>still are, in a sense worried that as the growth

0:15:05.880 --> 0:15:08.560
<v Speaker 1>trails off to sub ten percent, you over your kind

0:15:08.600 --> 0:15:13.040
<v Speaker 1>of user growth rates, um that they're kind of leverage

0:15:13.080 --> 0:15:15.360
<v Speaker 1>on that revenue stream kind of goes away. But the

0:15:15.440 --> 0:15:18.400
<v Speaker 1>r POO numbers keep growing so quickly that they keep

0:15:18.440 --> 0:15:21.120
<v Speaker 1>showing that they can just turn the dial on you

0:15:21.120 --> 0:15:23.680
<v Speaker 1>know what, people, what they get out of people. The

0:15:23.800 --> 0:15:27.600
<v Speaker 1>regulatory side, I think is serious and that's probably what

0:15:27.720 --> 0:15:31.040
<v Speaker 1>re rated the multiple because the growth hasn't slowed too much,

0:15:31.960 --> 0:15:34.840
<v Speaker 1>and I think that that's, uh, it's fair. Do I

0:15:34.960 --> 0:15:37.280
<v Speaker 1>really think that the government is going to clamp down

0:15:37.280 --> 0:15:40.600
<v Speaker 1>too much on this, No, probably not. We probably don't

0:15:40.640 --> 0:15:44.400
<v Speaker 1>have the you know, the gumption to do that politically

0:15:45.200 --> 0:15:48.560
<v Speaker 1>we should, but we don't. There's too many other you know,

0:15:48.600 --> 0:15:52.720
<v Speaker 1>cross currents going on there um. But I do think

0:15:52.800 --> 0:15:58.040
<v Speaker 1>that people on the BYE side assume that there is

0:15:58.200 --> 0:16:01.600
<v Speaker 1>more risk than upside at this point given the growth rate,

0:16:02.280 --> 0:16:05.040
<v Speaker 1>because there are so many other companies that are growing

0:16:05.120 --> 0:16:07.760
<v Speaker 1>so quickly, especially in the enterprise tech space, that they

0:16:07.800 --> 0:16:10.840
<v Speaker 1>could just rotate into. If we were in a situation

0:16:10.920 --> 0:16:14.600
<v Speaker 1>where we weren't in this big kind of enterprise technology

0:16:14.640 --> 0:16:19.080
<v Speaker 1>CAPEC supercycle, maybe Facebook would have held its multiple a

0:16:19.080 --> 0:16:22.080
<v Speaker 1>little bit better. But at this point, uh, you know,

0:16:22.360 --> 0:16:41.400
<v Speaker 1>you can rotate into a lot of other things. So

0:16:41.600 --> 0:16:45.880
<v Speaker 1>before we get into specific companies, um too much for

0:16:45.880 --> 0:16:49.160
<v Speaker 1>for Facebook or for any other tech stock, or I

0:16:49.160 --> 0:16:51.200
<v Speaker 1>should say, for any of the big tech stalks like

0:16:51.600 --> 0:16:55.760
<v Speaker 1>the Fang stocks. Do you think the share prices that

0:16:55.800 --> 0:16:59.720
<v Speaker 1>we saw before, say the middle of last year were

0:17:00.400 --> 0:17:05.920
<v Speaker 1>justified by the earnings outlook or were they overly optimistic? Yeah?

0:17:05.960 --> 0:17:08.399
<v Speaker 1>I mean, I think given the growth rates in the

0:17:08.920 --> 0:17:11.920
<v Speaker 1>you know, thirties, forties fift for some of these big

0:17:11.920 --> 0:17:16.680
<v Speaker 1>companies on the revenue side, the multiples are certainly not outlandish,

0:17:16.880 --> 0:17:20.159
<v Speaker 1>and given their ability to use their balance sheets and

0:17:20.280 --> 0:17:24.040
<v Speaker 1>stock to buy other high growth names. I don't see

0:17:24.040 --> 0:17:28.080
<v Speaker 1>why those multiples are not sustainable. UM Now when you

0:17:28.200 --> 0:17:30.959
<v Speaker 1>take a look at something like Apple, which relies on

0:17:31.000 --> 0:17:33.439
<v Speaker 1>a whole different kind of set of things that is

0:17:33.480 --> 0:17:38.800
<v Speaker 1>more um you know, sale of iPhones based the you

0:17:38.840 --> 0:17:42.640
<v Speaker 1>know when they got over a trillion dollars in market cap. Yeah,

0:17:42.640 --> 0:17:44.560
<v Speaker 1>there's some law of large numbers coming in there with

0:17:44.720 --> 0:17:47.480
<v Speaker 1>just literally how many of these widgets can you sell

0:17:47.680 --> 0:17:50.320
<v Speaker 1>every quarter every year? And what is the growth rate

0:17:50.359 --> 0:17:53.520
<v Speaker 1>for them? And where are you in terms of UH

0:17:53.680 --> 0:17:57.560
<v Speaker 1>saturation of the market. But Facebook isn't Facebook is not

0:17:57.600 --> 0:18:00.600
<v Speaker 1>really growing their user base anymore. It's us How good

0:18:00.640 --> 0:18:02.679
<v Speaker 1>can the platform get? How much leverage they have on

0:18:02.720 --> 0:18:05.800
<v Speaker 1>the people there already? And I don't see that going

0:18:05.840 --> 0:18:09.399
<v Speaker 1>away if and he's done an incredible job of just

0:18:09.560 --> 0:18:13.840
<v Speaker 1>creating this universe of things that you're locked into. I

0:18:13.880 --> 0:18:16.120
<v Speaker 1>want to get to Apple in a second, but before

0:18:16.160 --> 0:18:17.560
<v Speaker 1>I want to go back to what you said about

0:18:17.560 --> 0:18:22.160
<v Speaker 1>the sort of enterprise software upgrade supercycle in these UH

0:18:22.440 --> 0:18:27.200
<v Speaker 1>enterprise software cloud names, because actually in Q four, while

0:18:27.240 --> 0:18:29.160
<v Speaker 1>we saw this big sell off, there were a handful

0:18:29.160 --> 0:18:32.719
<v Speaker 1>of tech companies that almost seemed completely unaffected by it.

0:18:33.400 --> 0:18:36.480
<v Speaker 1>UM you know companies like work Day, which probably not

0:18:36.560 --> 0:18:38.199
<v Speaker 1>a lot I think not a lot of people are

0:18:38.200 --> 0:18:39.720
<v Speaker 1>probably that familiar with. But I think they're kind of

0:18:39.760 --> 0:18:43.439
<v Speaker 1>like a salesforce type company. What is this class of

0:18:43.520 --> 0:18:46.639
<v Speaker 1>companies that people got really excited about and why didn't

0:18:46.680 --> 0:18:48.520
<v Speaker 1>they get caught up in the down draft to the

0:18:48.560 --> 0:18:53.400
<v Speaker 1>same degree they did? Uh, they weren't down, they were

0:18:53.440 --> 0:18:59.000
<v Speaker 1>down again high beata names. If you listen to Mark

0:18:59.040 --> 0:19:02.240
<v Speaker 1>being off sale for CEO on his earnings calls the

0:19:02.320 --> 0:19:05.920
<v Speaker 1>last two years, basically he has been dead on right

0:19:06.560 --> 0:19:09.200
<v Speaker 1>about the fact that he believes there is a supercycle

0:19:09.240 --> 0:19:13.920
<v Speaker 1>going on in capex for enterprise technology. Basically, we got

0:19:14.040 --> 0:19:17.720
<v Speaker 1>the tax legislation and that freed up a lot of

0:19:17.920 --> 0:19:21.760
<v Speaker 1>money for investment, supposedly right now for really large companies.

0:19:21.840 --> 0:19:24.080
<v Speaker 1>We kind of saw them do share buy backs. But

0:19:24.440 --> 0:19:27.439
<v Speaker 1>also when you look at the financial sector, they hadn't

0:19:27.480 --> 0:19:30.000
<v Speaker 1>gone through a huge CAPEX cycle in a long time,

0:19:30.240 --> 0:19:33.120
<v Speaker 1>a lot of legacy technology sitting around there. They did

0:19:33.240 --> 0:19:36.720
<v Speaker 1>take the money and invest a lot in software. I

0:19:36.720 --> 0:19:39.479
<v Speaker 1>think one of the reasons why people may not see

0:19:39.640 --> 0:19:44.040
<v Speaker 1>as much CAPEX that they thought they would or should

0:19:44.080 --> 0:19:47.600
<v Speaker 1>have happened because of those tax cuts. UM is because

0:19:47.640 --> 0:19:49.840
<v Speaker 1>it doesn't cost as much money anymore to do the

0:19:50.359 --> 0:19:52.440
<v Speaker 1>cap expending because a lot of it's not it's it's

0:19:52.440 --> 0:19:56.200
<v Speaker 1>not physical things, right, it's it's software driving your business. Um,

0:19:56.240 --> 0:19:59.359
<v Speaker 1>it's not hiring a hundred thousand people, right, it's hiring

0:19:59.359 --> 0:20:01.920
<v Speaker 1>a couple of people to manage the software. And so

0:20:02.000 --> 0:20:05.440
<v Speaker 1>we are seeing this massive investment in new software products

0:20:05.440 --> 0:20:09.119
<v Speaker 1>sas products right that you don't have to software software

0:20:09.119 --> 0:20:10.639
<v Speaker 1>is a service that you don't have to spend a

0:20:10.680 --> 0:20:14.879
<v Speaker 1>ton of money to simply buy and install your you know,

0:20:14.920 --> 0:20:18.120
<v Speaker 1>you're spending money every every month, every every year, right,

0:20:18.320 --> 0:20:21.520
<v Speaker 1>it's not this massive investment up front and being off

0:20:21.520 --> 0:20:25.640
<v Speaker 1>has been right, and it is driving everything from uh,

0:20:25.760 --> 0:20:27.960
<v Speaker 1>you know HR which is kind of the workday thing,

0:20:28.040 --> 0:20:31.159
<v Speaker 1>and updating how you manage your people to how you

0:20:31.200 --> 0:20:34.920
<v Speaker 1>manage your you know, internal systems, how you manage your logistics,

0:20:35.480 --> 0:20:38.600
<v Speaker 1>how you manage your payment network. Square is on fire

0:20:38.720 --> 0:20:42.040
<v Speaker 1>right now because every you know, every store that you

0:20:42.080 --> 0:20:45.280
<v Speaker 1>go to, every juice bar is now running a Square machine. Right.

0:20:45.359 --> 0:20:47.520
<v Speaker 1>And and then on top of that, it's amazing that

0:20:47.640 --> 0:20:49.919
<v Speaker 1>companies like this now they have all the data and

0:20:49.960 --> 0:20:53.560
<v Speaker 1>they can offer that juice bar owner debt right and

0:20:53.600 --> 0:20:56.199
<v Speaker 1>to you know, invest in their company and you know,

0:20:56.280 --> 0:21:00.800
<v Speaker 1>kind of sidestep the whole regular financial system. So it's

0:21:00.800 --> 0:21:03.360
<v Speaker 1>all adding up to a lot of leverage for these

0:21:03.400 --> 0:21:06.720
<v Speaker 1>companies that are small and makecap companies mostly, but their

0:21:06.760 --> 0:21:10.520
<v Speaker 1>growth rates are incredible and there's really no reason those

0:21:10.520 --> 0:21:14.000
<v Speaker 1>growth rates should slow significantly unless we get a real

0:21:14.080 --> 0:21:18.760
<v Speaker 1>economic downturn. Okay, I'm gonna jump in and steal Joe's

0:21:18.800 --> 0:21:24.479
<v Speaker 1>idea for the next question. Uh, much like any tech entrepreneur, really, um, Apple,

0:21:24.600 --> 0:21:29.160
<v Speaker 1>We're going to talk about Apple. Lots of concerns around

0:21:29.200 --> 0:21:32.080
<v Speaker 1>Apple at the moment. Is it going to be able

0:21:32.119 --> 0:21:35.120
<v Speaker 1>to sell as many phones in the future. Are its

0:21:35.119 --> 0:21:38.520
<v Speaker 1>current phones too expensive or not innovative enough to make

0:21:38.560 --> 0:21:41.359
<v Speaker 1>people buy new models? Plus you have the sort of

0:21:41.400 --> 0:21:46.520
<v Speaker 1>glaring um issues around China and this notion that maybe

0:21:46.640 --> 0:21:50.639
<v Speaker 1>Chinese nationals just aren't buying as many phones as they

0:21:50.720 --> 0:21:54.760
<v Speaker 1>used to. Maybe they're buying from um, non Apple competitors,

0:21:54.800 --> 0:21:58.359
<v Speaker 1>like you know, domestic manufacturers. Where do you stand on

0:21:58.400 --> 0:22:01.199
<v Speaker 1>Apple and which concerns do you think are sort of

0:22:01.240 --> 0:22:03.880
<v Speaker 1>justified at the moment. I think there's some near term

0:22:03.920 --> 0:22:07.840
<v Speaker 1>concerns and some long term concerns that are much bigger. Um.

0:22:07.880 --> 0:22:11.679
<v Speaker 1>I think near term the risks aren't that high. The

0:22:11.720 --> 0:22:16.280
<v Speaker 1>Apple multiple is already pretty low. The installed user base,

0:22:16.560 --> 0:22:19.199
<v Speaker 1>you know, for the phones isn't going away tomorrow. It's

0:22:19.240 --> 0:22:22.560
<v Speaker 1>gonna take at least at least two to three years

0:22:22.920 --> 0:22:26.480
<v Speaker 1>to really turn over that installed base if something else

0:22:26.520 --> 0:22:30.440
<v Speaker 1>were to come out to kind of subsume the market. Um.

0:22:30.720 --> 0:22:33.719
<v Speaker 1>Near term though, the risk is China really, which has

0:22:33.760 --> 0:22:35.320
<v Speaker 1>been driving a lot of the growth. They were down

0:22:35.359 --> 0:22:38.960
<v Speaker 1>twenty year over year and revenue this quarter this past quarter,

0:22:39.640 --> 0:22:41.680
<v Speaker 1>and I think Tim Cook has a little bit less

0:22:41.760 --> 0:22:44.639
<v Speaker 1>visibility than he used to on his revenue because of

0:22:44.680 --> 0:22:47.720
<v Speaker 1>the fact that China is is such a question mark. UM.

0:22:47.840 --> 0:22:49.639
<v Speaker 1>So I think investors have to look at that. But

0:22:49.680 --> 0:22:52.960
<v Speaker 1>it's very hard to believe that they're going to be

0:22:52.960 --> 0:22:55.520
<v Speaker 1>able to push the multiple for Apple down too much further.

0:22:55.520 --> 0:22:58.720
<v Speaker 1>It's already a pretty cheap stock as it goes. I think,

0:22:59.080 --> 0:23:01.760
<v Speaker 1>you know, people look at the services side of the company,

0:23:01.760 --> 0:23:04.479
<v Speaker 1>which is growing very quickly, which has a higher margin,

0:23:04.640 --> 0:23:07.080
<v Speaker 1>and say, hey, you know, this company should have a

0:23:07.119 --> 0:23:09.919
<v Speaker 1>higher multiple. I don't necessarily believe that's the case, and

0:23:09.960 --> 0:23:12.119
<v Speaker 1>I think the market agrees as it hasn't given the

0:23:12.160 --> 0:23:15.760
<v Speaker 1>company that higher multiple. I think that that services revenue

0:23:15.760 --> 0:23:18.919
<v Speaker 1>is also more at risk than people think if the

0:23:18.960 --> 0:23:24.480
<v Speaker 1>installed base of hardware kind of disappears long term. The

0:23:24.600 --> 0:23:27.800
<v Speaker 1>risk is basically this, The AI is coming, and it's

0:23:27.840 --> 0:23:31.920
<v Speaker 1>coming to consumers. You know, Alexa is great for Amazon

0:23:32.040 --> 0:23:34.239
<v Speaker 1>in terms of their ability to collect data on what

0:23:34.320 --> 0:23:36.560
<v Speaker 1>you want. It's God knows, it's listening to me in

0:23:36.600 --> 0:23:39.480
<v Speaker 1>my living room because I get ads like five minutes

0:23:39.560 --> 0:23:41.400
<v Speaker 1>later for things my wife and I are talking about

0:23:41.400 --> 0:23:45.320
<v Speaker 1>that we have never searched for at all. They're definitely listening.

0:23:45.800 --> 0:23:49.280
<v Speaker 1>But that that AI is not the A I'm talking about.

0:23:49.359 --> 0:23:51.760
<v Speaker 1>I'm talking about something that probably comes out of Google

0:23:51.880 --> 0:23:56.320
<v Speaker 1>or some left field place the Google buys. That completely

0:23:57.040 --> 0:24:02.920
<v Speaker 1>changes the paradigm for your interaction. Is the operating system.

0:24:03.000 --> 0:24:05.920
<v Speaker 1>And if somebody gets there before Apple, when a lot

0:24:05.920 --> 0:24:08.240
<v Speaker 1>of a lot of companies are investing in this stuff,

0:24:08.400 --> 0:24:12.840
<v Speaker 1>specifically Google, the Chinese companies are obviously investing heavily, and

0:24:12.920 --> 0:24:15.960
<v Speaker 1>they have tremendous amounts of data that drives all of this.

0:24:16.520 --> 0:24:19.640
<v Speaker 1>If they get there before Apple, which has notoriously been

0:24:19.840 --> 0:24:24.120
<v Speaker 1>bad in this specific space and has not had success

0:24:24.119 --> 0:24:27.440
<v Speaker 1>as Syria as a disaster if they get there before

0:24:27.600 --> 0:24:32.000
<v Speaker 1>Apple risks the hardware not becoming important anymore if it's

0:24:32.040 --> 0:24:34.320
<v Speaker 1>just the software. I want to talk about this a

0:24:34.320 --> 0:24:37.800
<v Speaker 1>little bit further, this idea of the hardware becoming less

0:24:37.800 --> 0:24:40.280
<v Speaker 1>important to software, because something I think you pointed out

0:24:40.720 --> 0:24:44.800
<v Speaker 1>during a TV appearance recently is how in China, whereas

0:24:44.800 --> 0:24:47.199
<v Speaker 1>in the US we think of iOS as being the

0:24:47.200 --> 0:24:51.239
<v Speaker 1>main platform for that we use, we download ad from

0:24:51.240 --> 0:24:53.119
<v Speaker 1>the app store and so forth, that it's really we

0:24:53.440 --> 0:24:55.800
<v Speaker 1>chat and the software that is the main thing that

0:24:55.840 --> 0:24:57.840
<v Speaker 1>people interact with, and then people can add all kinds

0:24:57.880 --> 0:24:59.840
<v Speaker 1>of services onto that. So I want you to explain that.

0:24:59.880 --> 0:25:04.520
<v Speaker 1>But also a story that's emerged recently in the US,

0:25:05.080 --> 0:25:08.080
<v Speaker 1>or just immerged recently period is some of these fights

0:25:08.119 --> 0:25:11.679
<v Speaker 1>between Apple and Facebook and Apple and Google referring to

0:25:11.840 --> 0:25:15.800
<v Speaker 1>developer access, and I'm wondering if there's a connection there

0:25:15.840 --> 0:25:19.399
<v Speaker 1>where Apple is starting to worry that even in the US,

0:25:20.080 --> 0:25:23.159
<v Speaker 1>that these services from the likes of Facebook and Google

0:25:23.680 --> 0:25:27.840
<v Speaker 1>could essentially become the user's main home rather than iOS.

0:25:27.920 --> 0:25:30.879
<v Speaker 1>So explain this issue, because I don't think maybe people

0:25:30.960 --> 0:25:34.199
<v Speaker 1>totally understand it and and say, is this kind of

0:25:34.200 --> 0:25:36.880
<v Speaker 1>what we're seeing the battle now playing in the US. Yeah,

0:25:36.880 --> 0:25:40.200
<v Speaker 1>so I'll explain it from my own personal perspective. Frankly, um,

0:25:40.320 --> 0:25:45.760
<v Speaker 1>I switched over to Apple from BlackBerry in two thousand

0:25:46.520 --> 0:25:50.160
<v Speaker 1>five something like that, right to get an iPhone, and

0:25:51.000 --> 0:25:53.639
<v Speaker 1>I've refused to switch over to Google, which all of

0:25:53.680 --> 0:25:57.040
<v Speaker 1>my other productivity apps are on Gmail Calendar, just like

0:25:57.359 --> 0:26:01.520
<v Speaker 1>every Google docs everything, because they don't the Android operating system.

0:26:01.560 --> 0:26:04.600
<v Speaker 1>Apple just simply, I think, has a better operating system,

0:26:04.640 --> 0:26:07.200
<v Speaker 1>the apps work better, it's more seamless, all of these things.

0:26:08.040 --> 0:26:10.320
<v Speaker 1>So I am stuck in that operating system. But in

0:26:10.440 --> 0:26:12.959
<v Speaker 1>China and I don't care about the hardware anymore. The

0:26:13.000 --> 0:26:15.480
<v Speaker 1>Google's hardware just as good as Apple's hardware. At this point.

0:26:15.960 --> 0:26:19.280
<v Speaker 1>In China, they've now gone to the next step above

0:26:19.320 --> 0:26:23.680
<v Speaker 1>that where we chat and we pay are an ecosystem

0:26:23.720 --> 0:26:25.680
<v Speaker 1>in and of themselves. So people just go into these

0:26:25.680 --> 0:26:29.720
<v Speaker 1>apps and they have all sorts of amazing utilities inside

0:26:29.720 --> 0:26:32.320
<v Speaker 1>of it. It's they're literally paying for everything. It's stores

0:26:32.400 --> 0:26:35.280
<v Speaker 1>inside of these apps. They've got their email that it's everything,

0:26:35.720 --> 0:26:39.120
<v Speaker 1>and so the the operatings doesn't even matter anymore because

0:26:39.160 --> 0:26:42.640
<v Speaker 1>it's subsumed inside of the app. You have to know

0:26:42.800 --> 0:26:45.800
<v Speaker 1>that Google is thinking about this with kind of the

0:26:45.800 --> 0:26:49.480
<v Speaker 1>ecosystem that they've built. Uh. And and there are others

0:26:49.880 --> 0:26:53.160
<v Speaker 1>an Apple, which is not good at building software outside

0:26:53.200 --> 0:26:55.520
<v Speaker 1>of the os Like what's the last piece of software

0:26:55.520 --> 0:26:58.440
<v Speaker 1>that you love from Apple? Right, Maps was a disaster,

0:26:58.680 --> 0:27:03.360
<v Speaker 1>and so Apple risks seriously falling way behind and having

0:27:03.359 --> 0:27:05.919
<v Speaker 1>the Harvard is not matter at all. It could be

0:27:06.440 --> 0:27:08.520
<v Speaker 1>that we get to a payments place in the U

0:27:08.640 --> 0:27:11.000
<v Speaker 1>S which we're way behind on, where one of these

0:27:11.040 --> 0:27:13.920
<v Speaker 1>apps subsumes it. It could be it could be it

0:27:13.920 --> 0:27:15.720
<v Speaker 1>could be something else, could be a social thing. It

0:27:15.760 --> 0:27:17.920
<v Speaker 1>could be whether Facebook has tried to bundle all these

0:27:17.920 --> 0:27:20.680
<v Speaker 1>things together but like you know, I don't think it's

0:27:20.680 --> 0:27:23.280
<v Speaker 1>worked that well instead of one app, or it could

0:27:23.280 --> 0:27:24.920
<v Speaker 1>be an AI. So it could be any of these

0:27:24.920 --> 0:27:29.560
<v Speaker 1>things that just rips Apple's revenue flow away from it

0:27:29.640 --> 0:27:32.440
<v Speaker 1>from selling you know, this hardware which a thousand dollars

0:27:32.440 --> 0:27:34.240
<v Speaker 1>for a phone right where you can get a good

0:27:34.240 --> 0:27:38.359
<v Speaker 1>one for like two d h um. So, you mentioned

0:27:38.359 --> 0:27:41.720
<v Speaker 1>the possibility of an earnings recession. I think you said

0:27:41.760 --> 0:27:46.760
<v Speaker 1>this year in nineteen So is there a risk that

0:27:46.920 --> 0:27:51.080
<v Speaker 1>part of that earnings recession comes from tech companies as

0:27:51.119 --> 0:27:54.480
<v Speaker 1>a whole, or are we going to see weakness in

0:27:54.560 --> 0:27:59.080
<v Speaker 1>one firm, say an Apple, offset by strength in another

0:27:59.119 --> 0:28:00.880
<v Speaker 1>firm like a Google Goal to the point you were

0:28:00.880 --> 0:28:05.080
<v Speaker 1>just making about a sort of closed software ecosystem. And secondly,

0:28:05.200 --> 0:28:09.520
<v Speaker 1>if we get an earnings recession, how disastrous is that

0:28:09.720 --> 0:28:12.960
<v Speaker 1>for the market's given that earnings have been pretty strong

0:28:13.080 --> 0:28:16.160
<v Speaker 1>for a few years now. Yeah, So on the first question,

0:28:16.280 --> 0:28:18.159
<v Speaker 1>I think it's the latter. I think it's gonna be

0:28:18.200 --> 0:28:23.000
<v Speaker 1>a bit more idiosyncratic. The the enterprise market is going

0:28:23.000 --> 0:28:25.680
<v Speaker 1>to continue to be really strong unless the general economy

0:28:25.760 --> 0:28:28.320
<v Speaker 1>falls off a cliff, which I think is you know,

0:28:28.359 --> 0:28:30.560
<v Speaker 1>on like maybe we get a recession in you know,

0:28:30.720 --> 0:28:33.280
<v Speaker 1>late nineteen twenty something like that. But I just don't

0:28:33.280 --> 0:28:35.640
<v Speaker 1>think it will matter too much for that cycle. At

0:28:35.680 --> 0:28:37.399
<v Speaker 1>some point, that cycle will come to an end, but

0:28:37.680 --> 0:28:40.640
<v Speaker 1>it doesn't seem to be ending anytime soon right now. Yeah,

0:28:41.040 --> 0:28:43.480
<v Speaker 1>certain companies will have their own issues, but I don't

0:28:43.480 --> 0:28:46.720
<v Speaker 1>think a broader earnings recession will come about because of tech.

0:28:47.280 --> 0:28:49.959
<v Speaker 1>The way that we're seeing the numbers, it looks like

0:28:50.040 --> 0:28:53.320
<v Speaker 1>if it happens, it's going to happen because of two things.

0:28:53.480 --> 0:28:57.719
<v Speaker 1>One industrials because of China and to the consumer in

0:28:57.760 --> 0:29:01.640
<v Speaker 1>the US. We think consumer estimates are still too high

0:29:01.680 --> 0:29:06.000
<v Speaker 1>for nineteen UM. You have a great UH analyst over here,

0:29:06.000 --> 0:29:09.760
<v Speaker 1>Seema Shah. I think we're in agreement there that we're

0:29:09.840 --> 0:29:13.080
<v Speaker 1>probably on the back part of the you know, top

0:29:13.120 --> 0:29:17.320
<v Speaker 1>of the hill for consumer growth, and the risk there

0:29:17.440 --> 0:29:21.800
<v Speaker 1>is that those estimates and actuals continue to come down. Further.

0:29:22.200 --> 0:29:25.000
<v Speaker 1>We're seeing in our data set, which tends to lead

0:29:25.080 --> 0:29:27.760
<v Speaker 1>the cell side data set in either direction up and down,

0:29:28.440 --> 0:29:31.800
<v Speaker 1>that estimates have come down quite a bit. And and

0:29:31.840 --> 0:29:35.240
<v Speaker 1>we're right now we would be projecting an earnings recession

0:29:35.440 --> 0:29:39.440
<v Speaker 1>for UM, which would mix between Q one and Q

0:29:39.600 --> 0:29:44.040
<v Speaker 1>two um fy nineteen. Well, on that cheery note of

0:29:44.320 --> 0:29:47.600
<v Speaker 1>expecting an earning it won't matter. It's not to the

0:29:47.640 --> 0:29:50.120
<v Speaker 1>second question. Sorry, I don't think it's gonna matter that

0:29:50.200 --> 0:29:53.360
<v Speaker 1>much unless you get another credit market issue or or

0:29:53.400 --> 0:29:57.120
<v Speaker 1>some other macro issue. Just because you're negative on you know,

0:29:57.160 --> 0:30:00.680
<v Speaker 1>the earnings numbers. Again, market's gonna look forward a year,

0:30:00.960 --> 0:30:03.160
<v Speaker 1>right and the numbers right now, you know people are

0:30:03.160 --> 0:30:07.400
<v Speaker 1>taking that into considerations. All right. Well, on that positive note, Lee,

0:30:07.480 --> 0:30:10.440
<v Speaker 1>Drogen really appreciate you on I was very excited to

0:30:10.480 --> 0:30:11.920
<v Speaker 1>have a chance to talk to you for a longer

0:30:11.960 --> 0:30:14.760
<v Speaker 1>time than we get on TV, and I really just, uh,

0:30:14.880 --> 0:30:16.720
<v Speaker 1>I learned a lot, So thank you very much. Yeah,

0:30:16.720 --> 0:30:18.880
<v Speaker 1>thanks for having I love the odd Lots name for

0:30:18.920 --> 0:30:37.640
<v Speaker 1>the five it's thanks, I think than thanks. Thank Tracy.

0:30:38.200 --> 0:30:40.400
<v Speaker 1>I always learn a lot talking from Lee, and I

0:30:40.440 --> 0:30:44.120
<v Speaker 1>feel like even in that short conversation, some of these ideas,

0:30:44.200 --> 0:30:48.120
<v Speaker 1>like about the platform wars, how I could really up

0:30:48.280 --> 0:30:51.880
<v Speaker 1>end how we interact with the Internet and our computers.

0:30:52.520 --> 0:30:55.760
<v Speaker 1>Um why people are so excited about some of these

0:30:55.880 --> 0:30:59.040
<v Speaker 1>enterprise cloud companies. I feel like I just learned a

0:30:59.040 --> 0:31:03.560
<v Speaker 1>ton about the current landscape of tech and tech investing. Yeah,

0:31:03.640 --> 0:31:05.480
<v Speaker 1>it was a great conversation. But you know what I

0:31:05.560 --> 0:31:08.320
<v Speaker 1>always wonder when we're whenever we're talking about tech, I

0:31:08.360 --> 0:31:13.360
<v Speaker 1>always wonder if tech, more than other industries, is something

0:31:13.440 --> 0:31:16.600
<v Speaker 1>of a wild card when it comes to making earnings

0:31:16.720 --> 0:31:20.240
<v Speaker 1>estimates or forecasts for the future, just because I mean,

0:31:20.240 --> 0:31:24.840
<v Speaker 1>technology is basically all about searching for the next paradigm

0:31:24.960 --> 0:31:29.320
<v Speaker 1>or the next breakthrough in business, and it seems so

0:31:29.400 --> 0:31:32.680
<v Speaker 1>hard to figure out what that might be, and so

0:31:33.320 --> 0:31:35.520
<v Speaker 1>I don't know, I just find it more difficult than

0:31:35.600 --> 0:31:37.600
<v Speaker 1>than a lot of other things. I also think It's

0:31:37.600 --> 0:31:40.680
<v Speaker 1>interesting too that I think a lot of the people

0:31:40.720 --> 0:31:43.920
<v Speaker 1>who are running these companies come from sort of non

0:31:43.920 --> 0:31:47.200
<v Speaker 1>traditional backgrounds where maybe they don't feel beholding to this

0:31:47.280 --> 0:31:49.560
<v Speaker 1>idea of like, oh, we gotta like hit this estimate.

0:31:49.720 --> 0:31:52.360
<v Speaker 1>And Jeff Bezos is probably the most famous in this

0:31:52.560 --> 0:31:57.480
<v Speaker 1>respect of not thinking about the court, thinking about each

0:31:57.560 --> 0:32:02.000
<v Speaker 1>quarter's numbers as being important to hit. So there are

0:32:02.080 --> 0:32:05.480
<v Speaker 1>just a lot of wild cards in the industry, both

0:32:05.600 --> 0:32:07.800
<v Speaker 1>short term and long term. And yeah, as you said,

0:32:07.880 --> 0:32:10.360
<v Speaker 1>like whatever is that. You know, there was one day

0:32:10.360 --> 0:32:12.959
<v Speaker 1>when it looked like IBM head ultimate lock in and

0:32:13.000 --> 0:32:15.480
<v Speaker 1>then no one even like talks about them anymore. So

0:32:15.880 --> 0:32:18.880
<v Speaker 1>absolutely there's short term and long term volatility in terms

0:32:18.880 --> 0:32:21.160
<v Speaker 1>of where all this is going. Yeah, and for every

0:32:21.240 --> 0:32:24.520
<v Speaker 1>Jeff Bezos, I guess there's a sort of Elizabeth Holmes right,

0:32:24.600 --> 0:32:29.560
<v Speaker 1>who made far too outlandish promises and basically, um, well

0:32:29.920 --> 0:32:32.520
<v Speaker 1>uh didn't make it. Let's put it that way. Um,

0:32:32.560 --> 0:32:36.360
<v Speaker 1>But anyway, earnings recession in ten, that'll be something interesting

0:32:36.480 --> 0:32:40.560
<v Speaker 1>and that'll be a story we're watching on that happy note. Yes,

0:32:40.720 --> 0:32:43.720
<v Speaker 1>um okay, So this has been another edition of the

0:32:43.760 --> 0:32:46.600
<v Speaker 1>All Thoughts podcast. I'm Tracy Alloway. You can follow me

0:32:46.640 --> 0:32:49.920
<v Speaker 1>on Twitter at Tracy Alloway and I'm Joe Wisn't thal

0:32:50.000 --> 0:32:52.360
<v Speaker 1>You could have follow me on Twitter at the Stalwart

0:32:52.680 --> 0:32:55.280
<v Speaker 1>and you should definitely follow Lee on Twitter He's at

0:32:55.480 --> 0:32:59.080
<v Speaker 1>l Droken. Also be sure to follow our producer topor

0:32:59.160 --> 0:33:02.280
<v Speaker 1>Brehead he's at or His Tea, as well as the

0:33:02.280 --> 0:33:07.040
<v Speaker 1>Bloomberg head of podcast Francesca leaving at Francesca Today. Thanks

0:33:07.040 --> 0:33:07.520
<v Speaker 1>for listening.