WEBVTT - Baron’s Lippert on Secular Growth and Technology

0:00:15.000 --> 0:00:18.159
<v Speaker 1>Welcome to Inside Active, a podcast about active managers that

0:00:18.200 --> 0:00:20.960
<v Speaker 1>goes beyond sound bites and headlines and looks deeper into

0:00:21.000 --> 0:00:25.840
<v Speaker 1>their processes, challenges and philosophies and security selection. I'm David Cohne,

0:00:25.840 --> 0:00:28.720
<v Speaker 1>i lead mutual fund and active research at Bloomberg Intelligence.

0:00:29.040 --> 0:00:32.040
<v Speaker 1>Today my co host is Michael Casper, us small cap

0:00:32.080 --> 0:00:35.440
<v Speaker 1>and sector strategists at Bloomberg Intelligence. Mike, thanks for joining

0:00:35.479 --> 0:00:35.880
<v Speaker 1>me today.

0:00:36.200 --> 0:00:36.840
<v Speaker 2>Thank you, David.

0:00:37.120 --> 0:00:38.519
<v Speaker 3>So you wrote an interesting.

0:00:38.159 --> 0:00:41.879
<v Speaker 1>Note recently on earnings fundamentals and current rally. Can you

0:00:41.880 --> 0:00:44.800
<v Speaker 1>provide no review of what earnings fundamentals are telling us

0:00:44.800 --> 0:00:46.560
<v Speaker 1>about the current bullmarket rally.

0:00:47.120 --> 0:00:48.720
<v Speaker 2>Yeah, so, at least for the S and P five

0:00:48.800 --> 0:00:51.520
<v Speaker 2>hundred in the second quarter, it's almost like as if

0:00:51.880 --> 0:00:54.520
<v Speaker 2>Tariff's never happened. So if you went back to the

0:00:54.600 --> 0:00:58.320
<v Speaker 2>January estimate for the second quarter, it was about nine percent.

0:00:59.120 --> 0:01:00.960
<v Speaker 2>They cut that all the way down to two point

0:01:01.000 --> 0:01:03.600
<v Speaker 2>eight percent for two Q and what we ended up

0:01:03.640 --> 0:01:07.959
<v Speaker 2>with was a little over ten percent, So pretty much

0:01:07.959 --> 0:01:12.960
<v Speaker 2>all that tariff draw down inconsensus estimates gone, at least

0:01:12.959 --> 0:01:15.120
<v Speaker 2>for the second quarter. Back half estimates still a little

0:01:15.120 --> 0:01:17.560
<v Speaker 2>bit weaker than they were at the beginning of the year.

0:01:18.080 --> 0:01:20.920
<v Speaker 2>About half. We're looking at about seven percent growth for

0:01:21.360 --> 0:01:24.160
<v Speaker 2>the second half, But again the trend has been towards

0:01:24.240 --> 0:01:26.360
<v Speaker 2>beats for the S and P five hundred, and we

0:01:26.360 --> 0:01:29.720
<v Speaker 2>did a recent note on earning signals for stock prices

0:01:29.959 --> 0:01:33.200
<v Speaker 2>and what that might mean for equities going forward, And

0:01:33.319 --> 0:01:36.120
<v Speaker 2>what we're really seeing is a lot of the early

0:01:36.240 --> 0:01:38.840
<v Speaker 2>year concerns start to clear up. Right, So the bar

0:01:39.000 --> 0:01:41.600
<v Speaker 2>was incredibly high for twenty twenty five going into the year,

0:01:42.160 --> 0:01:45.680
<v Speaker 2>that again has come down considerably, making it a little

0:01:45.720 --> 0:01:47.760
<v Speaker 2>bit easier for the S and P five hundred to

0:01:47.760 --> 0:01:50.720
<v Speaker 2>beat subsequent quarters. The issue, I would say, or at

0:01:50.800 --> 0:01:52.800
<v Speaker 2>least the risk on the horizon, is the twenty twenty

0:01:52.800 --> 0:01:56.160
<v Speaker 2>six bar, which is well over ten percent for each

0:01:56.200 --> 0:01:59.200
<v Speaker 2>of the three quarters that we have clarity on the

0:01:59.320 --> 0:02:02.040
<v Speaker 2>last time that we've had that was twenty twenty one

0:02:02.040 --> 0:02:05.000
<v Speaker 2>and twenty eighteen, so one was post tax reform, the

0:02:05.040 --> 0:02:08.640
<v Speaker 2>other was post COVID recovery. So it's quite unusual to

0:02:08.680 --> 0:02:11.120
<v Speaker 2>have a ten percent growth backdrop without some kind of

0:02:11.160 --> 0:02:16.800
<v Speaker 2>recovery or fiscal policy coming through to help stocks. But

0:02:17.000 --> 0:02:19.119
<v Speaker 2>the other signs that we're watching that that have been

0:02:19.320 --> 0:02:23.200
<v Speaker 2>more constructive for socks. Earnings breadth has improved. Cyclical minus

0:02:23.240 --> 0:02:29.480
<v Speaker 2>defensive sector earnings and revenue better better than cyclicals are

0:02:29.480 --> 0:02:33.160
<v Speaker 2>looking better than defensives on that end. Revision momentum very positive,

0:02:33.320 --> 0:02:37.720
<v Speaker 2>and the margin outlook has been improving despite all the

0:02:37.800 --> 0:02:40.880
<v Speaker 2>terrorfs that have come down the pipe. So things looking

0:02:40.919 --> 0:02:42.960
<v Speaker 2>a lot better on the earnings front than they are

0:02:43.040 --> 0:02:46.000
<v Speaker 2>at the start of twenty five, at least after the

0:02:46.040 --> 0:02:47.160
<v Speaker 2>liberation to announcement.

0:02:48.200 --> 0:02:51.720
<v Speaker 1>Thank you great, well, something we can watch out for.

0:02:52.560 --> 0:02:56.040
<v Speaker 1>But I'd like to seg into our today's guest to

0:02:56.080 --> 0:02:59.359
<v Speaker 1>the podcast. Michael Lippert is the vice president and head

0:02:59.400 --> 0:03:03.360
<v Speaker 1>of Technology Research at Baron Capital and the portfolio manager

0:03:03.400 --> 0:03:08.160
<v Speaker 1>for the Baron Opportunity Fund ticker bioi X and the

0:03:08.200 --> 0:03:12.000
<v Speaker 1>Baron Technology Fund ticker bt e c X. Michael, thank

0:03:12.040 --> 0:03:13.079
<v Speaker 1>you for joining us today.

0:03:13.440 --> 0:03:14.200
<v Speaker 3>Thanks for having me.

0:03:14.960 --> 0:03:18.480
<v Speaker 1>So let's start with the philosophy behind your investment decisions.

0:03:18.760 --> 0:03:21.600
<v Speaker 1>How would you define the Barren philosophy.

0:03:21.760 --> 0:03:24.000
<v Speaker 3>Yeah, we've been in business for over forty years, founded

0:03:24.000 --> 0:03:28.119
<v Speaker 3>by Ron Baron, who's well known, and we are quint

0:03:28.200 --> 0:03:30.679
<v Speaker 3>essential long term investors. I joke with some people and

0:03:30.760 --> 0:03:33.480
<v Speaker 3>I first joined the industry. I switched careers later on

0:03:33.600 --> 0:03:36.000
<v Speaker 3>from being a lawyer to be an investor, and people

0:03:36.040 --> 0:03:38.040
<v Speaker 3>give you books. So I got a book on Warren Buffett,

0:03:38.200 --> 0:03:41.480
<v Speaker 3>and when I read Warren Buffett, who's famously a value manager,

0:03:41.720 --> 0:03:44.320
<v Speaker 3>I said, wow, this person sounds like just like Ron,

0:03:44.400 --> 0:03:46.440
<v Speaker 3>even though we're considered to be a growth manager. Why

0:03:47.200 --> 0:03:50.960
<v Speaker 3>we invest in businesses, not just stocks, and we try

0:03:51.000 --> 0:03:55.120
<v Speaker 3>to find great businesses run by top entrepreneurs that are

0:03:55.160 --> 0:03:57.480
<v Speaker 3>simply going to grow for a very very long time.

0:03:58.240 --> 0:04:00.320
<v Speaker 3>You know, there's the same and the short term, you know,

0:04:00.360 --> 0:04:02.240
<v Speaker 3>the market is a voting machine, and the long term

0:04:02.240 --> 0:04:05.760
<v Speaker 3>it's a weighing machine. We effectively believe in that right

0:04:05.800 --> 0:04:08.360
<v Speaker 3>over the long term, the market will get fat, sorry,

0:04:08.560 --> 0:04:12.040
<v Speaker 3>stocks will get fat on revenues and profits. You put

0:04:12.080 --> 0:04:14.480
<v Speaker 3>them on a scale, you put a reasonable multiple on them,

0:04:14.480 --> 0:04:17.000
<v Speaker 3>because you know, multiple in the short term is sentiment driven.

0:04:17.400 --> 0:04:19.719
<v Speaker 3>And if you find companies that can really get fat,

0:04:19.880 --> 0:04:21.560
<v Speaker 3>they're going to create great value. And if you look

0:04:21.600 --> 0:04:23.320
<v Speaker 3>over the last you know, let's just call it whatever,

0:04:23.360 --> 0:04:26.440
<v Speaker 3>forty fifty years, the Internet age. You know, the Googles,

0:04:26.520 --> 0:04:29.839
<v Speaker 3>the Microsofts, the Apples of the world. They basically just

0:04:30.160 --> 0:04:33.200
<v Speaker 3>kept going and going and going. And so we invest

0:04:33.240 --> 0:04:35.760
<v Speaker 3>in what we call secular growth trends or themes. These

0:04:35.760 --> 0:04:39.840
<v Speaker 3>are things that are almost undeniable Internet cloud computing. Try

0:04:39.839 --> 0:04:42.200
<v Speaker 3>to find the companies that have competitive advantages so they're

0:04:42.200 --> 0:04:45.520
<v Speaker 3>going to take market share among these trends. And just

0:04:45.640 --> 0:04:47.479
<v Speaker 3>one last point. One of the things we look at

0:04:47.720 --> 0:04:50.440
<v Speaker 3>we call it second or third acts, you know, second

0:04:50.560 --> 0:04:53.840
<v Speaker 3>or third s curves or multiple tams. Companies that can

0:04:53.880 --> 0:04:56.680
<v Speaker 3>do more than one thing, go from a single product

0:04:56.720 --> 0:05:00.279
<v Speaker 3>or service company to multiple product services. All come means

0:05:00.279 --> 0:05:02.520
<v Speaker 3>want to be what's called, you know, a platform company.

0:05:02.560 --> 0:05:05.320
<v Speaker 3>And you know, maybe the most famous one would be Amazon,

0:05:05.320 --> 0:05:07.680
<v Speaker 3>which started life as a you know, online bookseller, and

0:05:07.720 --> 0:05:10.920
<v Speaker 3>we know all the things that Amazon is today including aws,

0:05:10.960 --> 0:05:12.440
<v Speaker 3>probably its most valuable business.

0:05:13.520 --> 0:05:16.560
<v Speaker 1>So when you're looking at these secular trends, how do

0:05:16.600 --> 0:05:19.760
<v Speaker 1>you define and validate you know that an emerging theme

0:05:19.960 --> 0:05:21.160
<v Speaker 1>is truly durable?

0:05:21.800 --> 0:05:24.440
<v Speaker 3>Yeah, I mean it's it's honestly just just research. I

0:05:24.520 --> 0:05:27.479
<v Speaker 3>wish I could say something magic. We have a team

0:05:27.640 --> 0:05:33.719
<v Speaker 3>of over twenty you know, research professionals. Our analysts become

0:05:33.839 --> 0:05:37.120
<v Speaker 3>focused on and you know, seek to become experts in

0:05:37.480 --> 0:05:41.440
<v Speaker 3>different industries. Some industries are so complicated and so diverse

0:05:41.480 --> 0:05:44.000
<v Speaker 3>that we have multiple people on them So for example,

0:05:44.080 --> 0:05:46.040
<v Speaker 3>right now on AI, we have a full what we

0:05:46.160 --> 0:05:48.920
<v Speaker 3>call AI working group, people from all over the firm.

0:05:49.760 --> 0:05:52.080
<v Speaker 3>And when I think about a theme or a trend,

0:05:52.120 --> 0:05:54.159
<v Speaker 3>it's not dissimilar from a company when you learn in

0:05:54.400 --> 0:05:57.400
<v Speaker 3>business school. People can't maybe can't see the podcast, but

0:05:57.600 --> 0:05:59.719
<v Speaker 3>you know, things follow an S curve and you want

0:05:59.760 --> 0:06:02.479
<v Speaker 3>things to inflect, you know, upwards at some point, and

0:06:02.560 --> 0:06:04.640
<v Speaker 3>so we spend a lot of time trying to find,

0:06:05.120 --> 0:06:07.400
<v Speaker 3>you know, that inflection point. And as I was thinking

0:06:07.400 --> 0:06:10.640
<v Speaker 3>about our podcast this morning, like we're not timers, so

0:06:10.680 --> 0:06:13.840
<v Speaker 3>we don't have to exactly get it right. Oftentimes we

0:06:14.200 --> 0:06:17.360
<v Speaker 3>maybe a little bit early before the inflection point. Sometimes

0:06:17.440 --> 0:06:20.040
<v Speaker 3>we're late. However, and if you think about the inflection,

0:06:20.160 --> 0:06:22.200
<v Speaker 3>that's deep part of the growth of a big trend.

0:06:22.279 --> 0:06:26.960
<v Speaker 3>Cloud computing can last seriously twenty years. If you miss

0:06:27.080 --> 0:06:29.880
<v Speaker 3>the beginning, you can still participate in a long time.

0:06:29.960 --> 0:06:32.479
<v Speaker 3>So we really look at, you know, what's the driver

0:06:32.640 --> 0:06:36.359
<v Speaker 3>of that trend, what is the market backdrop, what's the

0:06:36.480 --> 0:06:40.120
<v Speaker 3>traction that it's getting, you know, what's the size of

0:06:40.160 --> 0:06:42.960
<v Speaker 3>that opportunity. You know even what it will take in

0:06:43.040 --> 0:06:46.480
<v Speaker 3>terms of human behavior, whether it's enterprise or consumer behavior

0:06:46.720 --> 0:06:49.000
<v Speaker 3>to get adoption, and we look for what I call

0:06:49.080 --> 0:06:52.800
<v Speaker 3>proof points, actual evidence that something you know, is getting legs.

0:06:52.839 --> 0:06:56.240
<v Speaker 3>And so you know, for example, during COVID, there were

0:06:56.279 --> 0:06:59.880
<v Speaker 3>lots of themes that people got all excited about, you

0:06:59.880 --> 0:07:02.159
<v Speaker 3>know that some of them never really picked up and

0:07:02.160 --> 0:07:04.919
<v Speaker 3>amounted into anything, but we we try to invest in

0:07:04.920 --> 0:07:06.800
<v Speaker 3>the ones that are you know, believe are real. I'm

0:07:06.800 --> 0:07:09.760
<v Speaker 3>sure we'll talk about AI and of course, you know,

0:07:09.800 --> 0:07:12.320
<v Speaker 3>we're now not even three years into it, we're obviously

0:07:12.320 --> 0:07:15.120
<v Speaker 3>convinced that is a real major theme and will impact

0:07:15.240 --> 0:07:16.920
<v Speaker 3>you know, every industry in the world for the next

0:07:17.080 --> 0:07:19.480
<v Speaker 3>at least twenty years will have an AI two dot

0:07:19.440 --> 0:07:22.040
<v Speaker 3>oh at some point of course. So you know, you.

0:07:22.040 --> 0:07:24.880
<v Speaker 1>Mentioned some of the stuff that doesn't stick. So I

0:07:24.960 --> 0:07:27.040
<v Speaker 1>kind of want to follow up with, you know, how

0:07:27.400 --> 0:07:30.080
<v Speaker 1>what is it exactly that you're looking at that lets

0:07:30.120 --> 0:07:33.800
<v Speaker 1>you distinguish between short term bads and you know, something

0:07:33.840 --> 0:07:35.920
<v Speaker 1>that's going to be a lot longer term.

0:07:36.360 --> 0:07:37.920
<v Speaker 3>Yeah, I mean, I would say there was lots of

0:07:37.960 --> 0:07:42.960
<v Speaker 3>talk about, you know, whether blockchain technology would be more

0:07:43.000 --> 0:07:45.640
<v Speaker 3>than just simply you know, supporting crypto, all the different

0:07:45.760 --> 0:07:48.400
<v Speaker 3>uses of it. I would say during COVID it was

0:07:48.400 --> 0:07:52.000
<v Speaker 3>a big move on NFTs and things like that. Even

0:07:52.000 --> 0:07:54.640
<v Speaker 3>when we think about crypto trading, you know, we looked

0:07:54.640 --> 0:07:56.840
<v Speaker 3>at some companies that were going public, and while we

0:07:56.840 --> 0:08:00.000
<v Speaker 3>were definitely believers that crypto trading, for example, you know,

0:08:00.040 --> 0:08:03.160
<v Speaker 3>would expand across the market and you know, lots of

0:08:03.200 --> 0:08:06.320
<v Speaker 3>self directed investors would do crypto, we didn't know that

0:08:06.400 --> 0:08:09.200
<v Speaker 3>any one particular company had a competitive advantage. We looked

0:08:09.200 --> 0:08:12.760
<v Speaker 3>at trading historically and other than like the CME for example,

0:08:12.800 --> 0:08:15.160
<v Speaker 3>that would have a future that was you know, really

0:08:15.280 --> 0:08:19.280
<v Speaker 3>developed proprietary to them. You know, everybody had trading, so

0:08:19.320 --> 0:08:22.520
<v Speaker 3>we looked at things like that. But again there's no

0:08:22.760 --> 0:08:25.600
<v Speaker 3>easy way. It is honestly just doing the work. And

0:08:25.640 --> 0:08:28.160
<v Speaker 3>the work for us are talking to the companies involved

0:08:28.440 --> 0:08:31.560
<v Speaker 3>that we're looking at that are you know, the leader's

0:08:31.640 --> 0:08:34.440
<v Speaker 3>pioneers for example, of a product or service, talking to

0:08:34.480 --> 0:08:38.360
<v Speaker 3>their competitive set, talking to customers. Of course, you can

0:08:38.360 --> 0:08:40.200
<v Speaker 3>do lots of polling and there's lots of data when

0:08:40.240 --> 0:08:42.839
<v Speaker 3>it comes to a consumer. With enterprises, again you can

0:08:42.880 --> 0:08:44.880
<v Speaker 3>go out and talk to them and again it's just

0:08:44.960 --> 0:08:49.880
<v Speaker 3>it's candidly looking for real proof points of adoption people

0:08:50.000 --> 0:08:53.840
<v Speaker 3>actually using a product or service and truly getting value

0:08:53.880 --> 0:08:55.400
<v Speaker 3>out of it, and we try to measure that and

0:08:55.440 --> 0:08:57.360
<v Speaker 3>so again I'm at a high level that but that

0:08:57.480 --> 0:08:58.280
<v Speaker 3>is what we try to do.

0:08:59.240 --> 0:09:01.120
<v Speaker 1>So if we even take a set back further, you know,

0:09:01.160 --> 0:09:03.800
<v Speaker 1>we've talked about what you're looking for. What does the

0:09:03.840 --> 0:09:06.960
<v Speaker 1>research process look in practice? You know, where are these

0:09:07.000 --> 0:09:11.120
<v Speaker 1>ideas coming from? Is the analysts? You know, things happening

0:09:11.160 --> 0:09:14.559
<v Speaker 1>in the industry, even your own views of what's going on.

0:09:14.880 --> 0:09:17.600
<v Speaker 3>Yeah, I mean, the true answer, David is all the above.

0:09:18.440 --> 0:09:20.560
<v Speaker 3>You know, people always ask me, you know, how you

0:09:20.600 --> 0:09:23.360
<v Speaker 3>do something. I say, listen, if we're starting the firm today,

0:09:23.720 --> 0:09:25.440
<v Speaker 3>of course my answer would be different. But We've been

0:09:25.480 --> 0:09:28.120
<v Speaker 3>in business for forty something years. I've been with Baron

0:09:28.240 --> 0:09:30.480
<v Speaker 3>for almost twenty five years now. You said, one of

0:09:30.520 --> 0:09:33.240
<v Speaker 3>my titles is head of Tech Research, and I'm always

0:09:33.240 --> 0:09:36.920
<v Speaker 3>asked what that means. It is effectively player coach. Right,

0:09:36.960 --> 0:09:39.600
<v Speaker 3>I'm in the field, on the field with the analysts,

0:09:39.600 --> 0:09:41.560
<v Speaker 3>but I'm a little you know, a little bit coaching

0:09:41.600 --> 0:09:44.000
<v Speaker 3>to make sure we're focused on the right things. Even

0:09:44.080 --> 0:09:45.840
<v Speaker 3>focused on the right things right now. Is not just

0:09:46.120 --> 0:09:47.959
<v Speaker 3>the right answers, of course, you want to get the

0:09:48.000 --> 0:09:51.120
<v Speaker 3>right answers, but the process of making sure you're asking

0:09:51.400 --> 0:09:53.640
<v Speaker 3>the right questions all of the things That means for

0:09:54.679 --> 0:09:57.320
<v Speaker 3>our research. I'm trying to make sure collaboration is not

0:09:57.400 --> 0:09:58.880
<v Speaker 3>just a word that we put on a slide deck,

0:09:58.920 --> 0:10:02.560
<v Speaker 3>but actually happens in practice. Every firm says collaboration, you

0:10:02.600 --> 0:10:06.000
<v Speaker 3>have to actually really really do it. So all of

0:10:06.040 --> 0:10:08.880
<v Speaker 3>these things are just the research. And so when it

0:10:08.920 --> 0:10:13.079
<v Speaker 3>comes to a given sector or industry, for example, it's

0:10:13.200 --> 0:10:16.079
<v Speaker 3>rare that we're surprised because we have it quote unquote

0:10:16.080 --> 0:10:20.439
<v Speaker 3>mapped out. That's my terminology. So we'll know the public companies,

0:10:20.480 --> 0:10:24.000
<v Speaker 3>for example, in software, we'll know the small, medium sized,

0:10:24.040 --> 0:10:26.679
<v Speaker 3>and large cap companies. We don't always think of them

0:10:26.720 --> 0:10:28.319
<v Speaker 3>in terms of market cap, but we think of them

0:10:28.640 --> 0:10:31.120
<v Speaker 3>what I call the development curve of how developed they

0:10:31.160 --> 0:10:33.800
<v Speaker 3>are as a company. Are they emerging company, are they

0:10:33.800 --> 0:10:36.760
<v Speaker 3>approven company? Are they a prospect or they im mature company.

0:10:37.240 --> 0:10:40.160
<v Speaker 3>We'll then divide up a given sector or industry by

0:10:40.520 --> 0:10:42.640
<v Speaker 3>different verticals and we have it mapped out. And we

0:10:42.679 --> 0:10:44.120
<v Speaker 3>also do a lot of work. Even though we don't

0:10:44.160 --> 0:10:45.839
<v Speaker 3>do a lot of private investing, we do a lot

0:10:45.840 --> 0:10:49.080
<v Speaker 3>of work meeting the private companies. Two reasons one to

0:10:49.080 --> 0:10:51.960
<v Speaker 3>get much smarter because those companies tend to be the

0:10:52.000 --> 0:10:54.800
<v Speaker 3>disruptors of the public companies. So to get much smarter

0:10:54.920 --> 0:10:56.840
<v Speaker 3>on that, we just had to trip out to the

0:10:56.840 --> 0:10:58.400
<v Speaker 3>West Coast and we met with lots and lots of

0:10:58.440 --> 0:11:00.480
<v Speaker 3>private companies. I can tell you more about that then,

0:11:00.520 --> 0:11:03.559
<v Speaker 3>of course, to meet these companies before they go public,

0:11:03.600 --> 0:11:05.439
<v Speaker 3>so that we know them really well when they become

0:11:05.480 --> 0:11:08.960
<v Speaker 3>a public company, and hopefully that we will get, you know,

0:11:09.280 --> 0:11:12.000
<v Speaker 3>because of the management direction, not because of a sell

0:11:12.080 --> 0:11:14.800
<v Speaker 3>side firm, a good allocation in the company that we

0:11:14.840 --> 0:11:17.280
<v Speaker 3>really want to invest in, because we've known them for

0:11:17.400 --> 0:11:19.120
<v Speaker 3>years and they see that we at Baron have made

0:11:19.120 --> 0:11:21.560
<v Speaker 3>the investment. And our reputation, of course when it comes

0:11:21.559 --> 0:11:24.680
<v Speaker 3>to private companies and IPOs is that we are long

0:11:24.760 --> 0:11:27.760
<v Speaker 3>term investors. So management teams would like Baron to be

0:11:27.800 --> 0:11:29.720
<v Speaker 3>involved because we're not going to you know, trade their

0:11:29.760 --> 0:11:31.040
<v Speaker 3>stock on a pop for example.

0:11:32.080 --> 0:11:34.400
<v Speaker 1>So one of the things you mentioned earlier is, you know,

0:11:34.440 --> 0:11:37.000
<v Speaker 1>since it's long term, you're not afraid of missing the

0:11:37.040 --> 0:11:40.280
<v Speaker 1>beginning of something. But if you had the I guess

0:11:40.440 --> 0:11:43.120
<v Speaker 1>the choice, would you prefer to enter a theme early

0:11:43.280 --> 0:11:46.360
<v Speaker 1>before the business model has really been proven or kind

0:11:46.360 --> 0:11:50.080
<v Speaker 1>of wait till the company's actually demonstrated viability.

0:11:50.200 --> 0:11:53.079
<v Speaker 3>Yeah, we tend. Of course, we'd like to be early,

0:11:53.160 --> 0:11:57.480
<v Speaker 3>right because you'll get more returns. However, we don't want

0:11:57.520 --> 0:12:01.240
<v Speaker 3>to invest in something you know, is, for example, just

0:12:01.280 --> 0:12:03.760
<v Speaker 3>a fad. It's okay if it's being in a sense

0:12:03.880 --> 0:12:06.719
<v Speaker 3>perceived not necessarily as a fad, but that you know,

0:12:06.840 --> 0:12:09.600
<v Speaker 3>someone is not. You know, there's a lot of debate

0:12:09.720 --> 0:12:12.000
<v Speaker 3>about what the adoption will be. And of course our

0:12:12.080 --> 0:12:15.840
<v Speaker 3>firm is well known for our investment in Tesla. My

0:12:15.920 --> 0:12:19.960
<v Speaker 3>particular portfolio first invested in Tesla in twenty twelve, so

0:12:20.000 --> 0:12:22.840
<v Speaker 3>we were very early on and of course even today

0:12:22.880 --> 0:12:25.240
<v Speaker 3>there's debate about, you know, the adoption and what the

0:12:25.240 --> 0:12:28.000
<v Speaker 3>penetration will be of electric vehicles. Back then, could you

0:12:28.000 --> 0:12:30.920
<v Speaker 3>imagine there was much more debate. So we were able

0:12:30.920 --> 0:12:34.280
<v Speaker 3>to enter at that stage of course, position our investment

0:12:34.360 --> 0:12:37.880
<v Speaker 3>in an appropriate size. But we were early and if

0:12:37.960 --> 0:12:39.440
<v Speaker 3>you really think about and you look at the chart

0:12:39.440 --> 0:12:41.760
<v Speaker 3>of Tesla and Ron Barren, my boss, has talked about

0:12:41.760 --> 0:12:44.600
<v Speaker 3>this a lot on TV. We owned the stock for

0:12:44.640 --> 0:12:46.440
<v Speaker 3>a lot of I owned it from twenty twelve to

0:12:46.440 --> 0:12:48.760
<v Speaker 3>twenty fourteen and got a triple and then the stock

0:12:48.840 --> 0:12:51.440
<v Speaker 3>went flat for a number of years before it inflected

0:12:51.520 --> 0:12:53.600
<v Speaker 3>up again, and so it was long term investors again

0:12:53.640 --> 0:12:56.960
<v Speaker 3>running a portfolio, we can have some stocks that go flat.

0:12:57.160 --> 0:13:00.000
<v Speaker 3>Another company that we were early on in frankly Envidio,

0:13:00.760 --> 0:13:03.240
<v Speaker 3>we invested in my portfolio believe it was twenty seventeen

0:13:03.320 --> 0:13:06.640
<v Speaker 3>or twenty eighteen. In Nvidia, we did not invest because

0:13:06.960 --> 0:13:09.160
<v Speaker 3>it was a you know, a gaming chip company. We

0:13:09.160 --> 0:13:12.480
<v Speaker 3>were investing against the AI m L back then machine

0:13:12.520 --> 0:13:16.600
<v Speaker 3>learning opportunity. I laughed because we were wrong. If you

0:13:16.600 --> 0:13:18.800
<v Speaker 3>look at our initial model and we thought the you know,

0:13:18.880 --> 0:13:21.960
<v Speaker 3>AI penetration would be for Nvidia. I mean, we were

0:13:22.080 --> 0:13:25.040
<v Speaker 3>ordered of magnitudes too low, and Nvidia just went like

0:13:25.080 --> 0:13:27.040
<v Speaker 3>this for a long long time before the jet cheap

0:13:27.040 --> 0:13:29.319
<v Speaker 3>PT inflection of course made it a great stock, and

0:13:29.360 --> 0:13:33.080
<v Speaker 3>I think it's the best performing investment in my portfolios history.

0:13:33.360 --> 0:13:35.560
<v Speaker 3>We had a full day where a team of Baron

0:13:36.000 --> 0:13:40.160
<v Speaker 3>met with Jensen in twenty eighteen. We talked about AIML

0:13:40.240 --> 0:13:42.800
<v Speaker 3>the entire time, and to show our investors that we

0:13:42.800 --> 0:13:44.640
<v Speaker 3>were early in the kind of work that we did.

0:13:44.840 --> 0:13:47.920
<v Speaker 3>I put literally put quotes from my notes into one

0:13:47.920 --> 0:13:49.360
<v Speaker 3>of my quarter letters to show that what we were

0:13:49.400 --> 0:13:52.520
<v Speaker 3>talking when Jensen Wang in twenty eighteen. Let's be real,

0:13:52.679 --> 0:13:54.680
<v Speaker 3>four plus years. I think I can't remember a spring

0:13:54.760 --> 0:13:57.160
<v Speaker 3>or fall, you know, before the chet cheap pt moment

0:13:57.480 --> 0:13:58.800
<v Speaker 3>of you know, November twenty two.

0:14:00.080 --> 0:14:03.160
<v Speaker 1>So you know, you just talked about Tesla. If we

0:14:03.240 --> 0:14:05.760
<v Speaker 1>go back before the Navidia part, but you're talking about

0:14:05.760 --> 0:14:08.360
<v Speaker 1>Tesla being flat for a few years. What happens if

0:14:08.960 --> 0:14:11.120
<v Speaker 1>you know one of the companies you're invested in actually

0:14:11.200 --> 0:14:14.079
<v Speaker 1>underperforms for a while. How do you keep conviction in

0:14:14.160 --> 0:14:16.679
<v Speaker 1>that company when you you know, just knowing that it's

0:14:16.720 --> 0:14:17.920
<v Speaker 1>something in the long term.

0:14:18.240 --> 0:14:22.280
<v Speaker 3>Listen, no portfolio. It's unrealistic to almost think that every

0:14:22.320 --> 0:14:24.160
<v Speaker 3>stock in your portfolio is going to perform at the

0:14:24.160 --> 0:14:26.800
<v Speaker 3>same time. That's why I write a portfolio. You want

0:14:26.800 --> 0:14:31.160
<v Speaker 3>to have diverse exposures for your investors. Some stocks will work,

0:14:31.240 --> 0:14:34.360
<v Speaker 3>some stocks won't work. We're not timers at Baron. We're

0:14:34.400 --> 0:14:37.960
<v Speaker 3>not market timers. We're not individual stock timers. Like colleagues

0:14:37.960 --> 0:14:39.960
<v Speaker 3>will joke at me sometime I'll read the night before

0:14:40.040 --> 0:14:42.120
<v Speaker 3>news and I'll tell people what I think the market

0:14:42.160 --> 0:14:44.560
<v Speaker 3>is going to do that couldn't be completely wrong. So

0:14:44.600 --> 0:14:47.360
<v Speaker 3>I'm definitely not a timer. When a stock is not working,

0:14:47.400 --> 0:14:50.720
<v Speaker 3>of course, the market is telling you something. We try

0:14:50.760 --> 0:14:52.920
<v Speaker 3>to understand what the market is telling us, and we

0:14:52.960 --> 0:14:55.920
<v Speaker 3>try to test that through our research. If the market

0:14:56.080 --> 0:14:59.240
<v Speaker 3>is you know, simply myopic or short term, that is

0:14:59.240 --> 0:15:01.440
<v Speaker 3>one thing, and we could wait. If the market, you know,

0:15:01.960 --> 0:15:04.400
<v Speaker 3>is telling us. And by telling us, I mean doing

0:15:04.400 --> 0:15:07.960
<v Speaker 3>that research right, understanding why a stock is underperforming in

0:15:07.960 --> 0:15:10.000
<v Speaker 3>the market, obviously, talking to the company, all the other

0:15:10.040 --> 0:15:13.600
<v Speaker 3>things that we do. If it's just adoption is taken

0:15:13.640 --> 0:15:17.400
<v Speaker 3>a little bit longer, there's been a change in the

0:15:17.440 --> 0:15:20.320
<v Speaker 3>competitive environment and industry. Some of these things are real,

0:15:20.600 --> 0:15:22.440
<v Speaker 3>which may cause us to have a different view of

0:15:22.480 --> 0:15:25.720
<v Speaker 3>the investment. Less in the investment, sell the investment. And

0:15:25.800 --> 0:15:28.800
<v Speaker 3>of course if a stock hasn't performed and other stocks

0:15:28.800 --> 0:15:31.720
<v Speaker 3>have performed well and the long term return opportunity is

0:15:31.720 --> 0:15:35.600
<v Speaker 3>more attractive, and we can confirm all the things that

0:15:35.720 --> 0:15:38.760
<v Speaker 3>we have in our investment fieces that will let you

0:15:38.800 --> 0:15:40.480
<v Speaker 3>know this company again be a company that's going to

0:15:40.520 --> 0:15:44.600
<v Speaker 3>get fat ultimately on profits, will increase that investment. And

0:15:44.680 --> 0:15:48.280
<v Speaker 3>so I won't say that both things have happened in

0:15:48.320 --> 0:15:50.720
<v Speaker 3>my career, hopefully, you know, I believe we've been more

0:15:50.760 --> 0:15:53.080
<v Speaker 3>on the right side where stocks haven't worked, and we've

0:15:53.080 --> 0:15:55.240
<v Speaker 3>been right and they eventually work, but there's no doubt

0:15:55.280 --> 0:15:58.000
<v Speaker 3>that there have been times that stocks haven't worked. We

0:15:58.120 --> 0:16:00.640
<v Speaker 3>drilled down and we ultimately decided to exit that company

0:16:00.640 --> 0:16:02.840
<v Speaker 3>because you know, when we exit, if you want to ask,

0:16:03.040 --> 0:16:05.240
<v Speaker 3>it is honestly not because stocks are going against us

0:16:05.240 --> 0:16:08.520
<v Speaker 3>in the market, because we conclude, based on our own

0:16:08.600 --> 0:16:11.920
<v Speaker 3>research analysis, that we've made a mistake or there's just

0:16:12.040 --> 0:16:14.600
<v Speaker 3>literally something better for us to invest in, even though

0:16:14.600 --> 0:16:16.840
<v Speaker 3>it may not be a mistake, there's just something better,

0:16:17.000 --> 0:16:18.920
<v Speaker 3>but it's never because of the trading activity.

0:16:19.240 --> 0:16:22.240
<v Speaker 1>Okay, makes sense. I've actually just got one more question.

0:16:22.640 --> 0:16:27.560
<v Speaker 1>I know before Mike's got a few market more related questions.

0:16:27.600 --> 0:16:29.640
<v Speaker 1>But you know one other thing you like, I want

0:16:29.680 --> 0:16:31.800
<v Speaker 1>to go back to Tesla for just a second. So

0:16:32.280 --> 0:16:36.680
<v Speaker 1>if we talk about Elon, you know, you also mentioned SpaceX.

0:16:37.320 --> 0:16:39.400
<v Speaker 1>So one of the things I've always trying to figure

0:16:39.440 --> 0:16:43.040
<v Speaker 1>out is when you have exposure to a private company

0:16:43.720 --> 0:16:47.080
<v Speaker 1>or you know, a structured entity, how do you evaluate

0:16:47.200 --> 0:16:50.440
<v Speaker 1>those and kind of integrate those into your valuation and

0:16:50.560 --> 0:16:54.000
<v Speaker 1>risk frameworks when information is obviously not as readily available

0:16:54.040 --> 0:16:54.960
<v Speaker 1>as a public company.

0:16:55.200 --> 0:16:57.320
<v Speaker 3>At Baron, we have an investment in SpaceX and the

0:16:57.320 --> 0:17:01.880
<v Speaker 3>Baron Opportunity Fund. SpaceX is a approximately a four and

0:17:01.920 --> 0:17:04.840
<v Speaker 3>a half percent position in the portfolio. Depending on what

0:17:04.880 --> 0:17:06.760
<v Speaker 3>happens in the market, it could go down or up.

0:17:07.440 --> 0:17:10.800
<v Speaker 3>We value it. We have a valuation committee, for example,

0:17:11.119 --> 0:17:13.080
<v Speaker 3>that does the work in terms of how we value

0:17:13.119 --> 0:17:17.359
<v Speaker 3>it in our mutual funds. There's a fairly active secondary

0:17:17.359 --> 0:17:21.520
<v Speaker 3>market that certainly influences our valuation for the committee. However,

0:17:21.560 --> 0:17:27.320
<v Speaker 3>as investors, we research and value SpaceX exactly the same

0:17:27.359 --> 0:17:30.520
<v Speaker 3>way that we research and value a public company. And frankly,

0:17:31.000 --> 0:17:33.639
<v Speaker 3>private companies often give you more information than you are

0:17:33.640 --> 0:17:36.320
<v Speaker 3>able to get more exposure to management because you don't

0:17:36.320 --> 0:17:39.520
<v Speaker 3>have some of the same reg fd issues. So we've

0:17:39.560 --> 0:17:41.960
<v Speaker 3>been investors in SpaceX for many, many years. I wish

0:17:42.040 --> 0:17:44.399
<v Speaker 3>I could recall the exact time period. I believe we

0:17:44.440 --> 0:17:46.800
<v Speaker 3>know the company very very well, just like we might

0:17:46.800 --> 0:17:50.359
<v Speaker 3>have a model on Tesla or Microsoft or Broadcom or Shopify.

0:17:50.640 --> 0:17:54.159
<v Speaker 3>Of course, we have a model on SpaceX. It's not

0:17:54.600 --> 0:17:57.679
<v Speaker 3>marked to market every single day in the market, but

0:17:57.760 --> 0:18:01.439
<v Speaker 3>we as investors of valuate it, you know, honestly, exactly

0:18:01.520 --> 0:18:03.360
<v Speaker 3>the same way. Some of the different risks, of course,

0:18:03.400 --> 0:18:05.919
<v Speaker 3>are liquidity risks. There's no doubt about that, and that

0:18:05.920 --> 0:18:08.880
<v Speaker 3>will inform maybe the position size we have of the company.

0:18:09.640 --> 0:18:11.639
<v Speaker 3>One of the things with a company like SpaceX, we

0:18:11.720 --> 0:18:15.280
<v Speaker 3>have no intent at Baron to use these secondary markets.

0:18:15.600 --> 0:18:18.840
<v Speaker 3>But there's you know, there is liquidity in SpaceX today

0:18:19.000 --> 0:18:21.480
<v Speaker 3>that is a little and that's evolved in the private markets.

0:18:21.480 --> 0:18:23.119
<v Speaker 3>That's a little bit different than you know, what a

0:18:23.119 --> 0:18:25.879
<v Speaker 3>private company might have been ten years ago. But again

0:18:26.400 --> 0:18:29.640
<v Speaker 3>for all listeners there right now, the way we see

0:18:30.119 --> 0:18:33.960
<v Speaker 3>the opportunities for SpaceX and certainly their differentiation whether it's

0:18:34.000 --> 0:18:36.960
<v Speaker 3>in satellite broadband or in the launch business, we intend

0:18:36.960 --> 0:18:38.640
<v Speaker 3>to be very long term holders of SpaceX.

0:18:39.040 --> 0:18:42.320
<v Speaker 2>So cloud computing and software as a service adoption are maturing,

0:18:42.760 --> 0:18:44.520
<v Speaker 2>Where do you see the next wave of growth coming

0:18:44.520 --> 0:18:45.880
<v Speaker 2>from within enterprise tech?

0:18:46.119 --> 0:18:49.040
<v Speaker 3>Yeah, you know, I saw that question in there. Mike.

0:18:49.040 --> 0:18:51.480
<v Speaker 3>If I call you Mike, I'm Mike too. I think

0:18:51.800 --> 0:18:55.600
<v Speaker 3>that the current phase that we are in is maturing,

0:18:55.920 --> 0:18:58.479
<v Speaker 3>but I think the most important thing is the next phase,

0:18:58.560 --> 0:19:02.720
<v Speaker 3>right and the next phase is artificial intelligence phase of

0:19:02.720 --> 0:19:05.360
<v Speaker 3>cloud computing. You know, we used to think we had

0:19:05.400 --> 0:19:08.040
<v Speaker 3>three what are called hyperscalers of everyone at home or

0:19:08.119 --> 0:19:10.680
<v Speaker 3>listening doesn't know what a hyperscaler is the three used

0:19:10.680 --> 0:19:14.800
<v Speaker 3>to be Microsoft Age or Amazon Aws and Google Cloud compute.

0:19:15.040 --> 0:19:17.040
<v Speaker 3>It's very clear from the announcements of last week we

0:19:17.080 --> 0:19:20.320
<v Speaker 3>have a number four that's Oracle, and certainly we have

0:19:20.359 --> 0:19:23.000
<v Speaker 3>what are called neo clouds companies like core Weave, and

0:19:23.040 --> 0:19:28.600
<v Speaker 3>there's just insatiable demand for power cooling and of course

0:19:28.720 --> 0:19:33.360
<v Speaker 3>compute to train and run running is what's called inference

0:19:33.720 --> 0:19:38.800
<v Speaker 3>AI workload. So I think cloud computing has not matured

0:19:38.800 --> 0:19:42.040
<v Speaker 3>at all, just maybe what you know CPU, you know,

0:19:42.520 --> 0:19:46.440
<v Speaker 3>central processing unit dominated by the Intel five percent market

0:19:46.480 --> 0:19:49.000
<v Speaker 3>share of AMD. That world has changed and we're now

0:19:49.040 --> 0:19:52.879
<v Speaker 3>in the you know, AI compute, GPU compute. People call

0:19:52.920 --> 0:19:55.720
<v Speaker 3>them accelerator world. So I think we're in the very

0:19:55.760 --> 0:20:00.160
<v Speaker 3>early stages of that and demand is literally insatiable. I'll

0:20:00.200 --> 0:20:01.600
<v Speaker 3>touch on software for a second that you can come

0:20:01.640 --> 0:20:03.919
<v Speaker 3>back with a follow up. There's been an enormous debate

0:20:03.920 --> 0:20:06.520
<v Speaker 3>in the market this year, you know, quote unquote is

0:20:06.560 --> 0:20:09.760
<v Speaker 3>software dead. We did our own piece on that and

0:20:09.800 --> 0:20:12.399
<v Speaker 3>all quarterly letters. We wrote a barren insight piece which

0:20:12.600 --> 0:20:15.359
<v Speaker 3>people can take a look at, and our answer was,

0:20:15.400 --> 0:20:17.719
<v Speaker 3>first of all, that's not the right question for us,

0:20:17.760 --> 0:20:20.560
<v Speaker 3>at least because we don't invest in software. We try

0:20:20.560 --> 0:20:24.439
<v Speaker 3>to invest in, you know, the software winners. Software is

0:20:24.440 --> 0:20:29.000
<v Speaker 3>obviously facing a major challenge, a major disruption. The future

0:20:29.000 --> 0:20:32.480
<v Speaker 3>of software is not simply a human being, you know,

0:20:32.680 --> 0:20:36.480
<v Speaker 3>dropping down, you know, like I'm in my Excel right now,

0:20:36.600 --> 0:20:39.919
<v Speaker 3>windows and things and doing something with it. Software is

0:20:39.920 --> 0:20:41.840
<v Speaker 3>shifting and it was interesting. We met with a CEO

0:20:42.160 --> 0:20:44.199
<v Speaker 3>last weekend and the way she put it is software

0:20:44.200 --> 0:20:47.960
<v Speaker 3>is sipping from like humans doing things to just work happening.

0:20:48.280 --> 0:20:52.840
<v Speaker 3>And often the work will be done by artificial intelligence,

0:20:52.920 --> 0:20:57.200
<v Speaker 3>will be done by agents in conjunction with human beings.

0:20:57.240 --> 0:20:59.119
<v Speaker 3>And I think more and more over time, more and

0:20:59.160 --> 0:21:03.640
<v Speaker 3>more of the work we'll be done by agents by AI,

0:21:03.840 --> 0:21:06.520
<v Speaker 3>and it will make you know, people that much more productive.

0:21:06.560 --> 0:21:10.359
<v Speaker 3>And software has always been a productivity tool. I don't

0:21:10.359 --> 0:21:13.000
<v Speaker 3>think that will change. But again, we are going through

0:21:13.000 --> 0:21:15.800
<v Speaker 3>a major inflection. We are going through a major change.

0:21:16.800 --> 0:21:20.240
<v Speaker 3>Some software companies will quote unquote across the chasm from

0:21:20.280 --> 0:21:23.600
<v Speaker 3>the SaaS age to the AI age. If you do

0:21:23.720 --> 0:21:27.600
<v Speaker 3>not do that, you will be disrupted. If you want

0:21:27.600 --> 0:21:29.240
<v Speaker 3>to follow up, there's lots of things that we could

0:21:29.240 --> 0:21:32.520
<v Speaker 3>talk about. What the characteristics might be of a software

0:21:32.520 --> 0:21:36.000
<v Speaker 3>company that can be successful in the AI age, and

0:21:36.000 --> 0:21:38.560
<v Speaker 3>I think just to put a touch on it, data

0:21:38.680 --> 0:21:41.919
<v Speaker 3>is incredibly important, proprietary data or customer data that they

0:21:41.920 --> 0:21:46.680
<v Speaker 3>could access and understanding basically what's called the context around

0:21:46.880 --> 0:21:51.200
<v Speaker 3>users and workflows. You know a term that Volunteer has

0:21:51.520 --> 0:21:55.040
<v Speaker 3>popularized called ontology. I would say they have ontology, but

0:21:55.080 --> 0:21:57.280
<v Speaker 3>when we talk to lots of other companies they talk

0:21:57.359 --> 0:21:59.960
<v Speaker 3>about what they're doing with the data, they talk often

0:22:00.040 --> 0:22:02.720
<v Speaker 3>about context and that is basically the same thing that

0:22:02.720 --> 0:22:05.119
<v Speaker 3>they're referring to with intology. I'm not putting down what

0:22:05.240 --> 0:22:07.800
<v Speaker 3>volunteers doing. They're doing some really interesting stuff, but that

0:22:08.400 --> 0:22:10.800
<v Speaker 3>is what people are talking about, and software companies have

0:22:10.920 --> 0:22:13.480
<v Speaker 3>that they have to capitalize on that. If they do not,

0:22:13.560 --> 0:22:14.480
<v Speaker 3>they will be disrupted.

0:22:14.960 --> 0:22:17.399
<v Speaker 2>I'm a macro strategist at heart, so I kind of

0:22:17.440 --> 0:22:20.040
<v Speaker 2>have to ask you. I know you don't do a

0:22:20.040 --> 0:22:22.800
<v Speaker 2>lot of market timing stuff, but a lot of tech

0:22:22.840 --> 0:22:25.199
<v Speaker 2>growth is tied to the consumer, and we might be

0:22:25.240 --> 0:22:27.720
<v Speaker 2>hitting a period of economic weakness. How do you evaluate

0:22:27.760 --> 0:22:29.879
<v Speaker 2>the durability of consumer driven tech themes?

0:22:31.040 --> 0:22:34.040
<v Speaker 3>Yeah, we look at it honestly, you know, very carefully.

0:22:34.040 --> 0:22:37.320
<v Speaker 3>We're certainly where that what we don't call the macro.

0:22:37.960 --> 0:22:40.639
<v Speaker 3>You can't work in the stock market without being you know,

0:22:40.760 --> 0:22:43.239
<v Speaker 3>cognizant of what's going on the macro. And this has

0:22:43.280 --> 0:22:46.239
<v Speaker 3>maybe been the craziest mac rea that have experienced in

0:22:46.240 --> 0:22:48.040
<v Speaker 3>my career. Like, you know, the word of the day

0:22:48.160 --> 0:22:50.640
<v Speaker 3>all year long has been uncertainty. You know, you touched

0:22:50.680 --> 0:22:53.040
<v Speaker 3>on the tariffs and the tariff's impact and what will

0:22:53.040 --> 0:22:55.639
<v Speaker 3>happen later in the year and did this you know,

0:22:55.760 --> 0:22:57.800
<v Speaker 3>was there a pull forward in consumer demand in the

0:22:57.800 --> 0:22:59.840
<v Speaker 3>middle of the year before taris. We've asked lots and

0:23:00.000 --> 0:23:03.080
<v Speaker 3>lots of questions on that. You know, we think about

0:23:03.640 --> 0:23:07.600
<v Speaker 3>all the time. What I call secular tocyclical, you can

0:23:07.640 --> 0:23:11.000
<v Speaker 3>call it a ratio. You can't calculate it, but qualitatively

0:23:11.040 --> 0:23:14.480
<v Speaker 3>you could understand which businesses are more secular and therefore

0:23:15.640 --> 0:23:17.960
<v Speaker 3>you know their business will be less disrupted by a

0:23:17.960 --> 0:23:23.679
<v Speaker 3>weak macro. And certainly some great businesses any advertising business

0:23:23.720 --> 0:23:30.400
<v Speaker 3>you know, Google or meta e commerce businesses Amazon or Shopify,

0:23:30.200 --> 0:23:33.159
<v Speaker 3>and they're all macro sensitive of course, right consumers have

0:23:33.200 --> 0:23:35.600
<v Speaker 3>to buy on their platforms, or consumers have to be

0:23:35.680 --> 0:23:38.600
<v Speaker 3>buying so that advertisers want to want to reach consumers.

0:23:38.720 --> 0:23:40.840
<v Speaker 3>So we're well aware of that. We have a lot

0:23:40.880 --> 0:23:42.919
<v Speaker 3>of data on of course the macro. We know what

0:23:43.320 --> 0:23:46.439
<v Speaker 3>you know comps are, you know what treat expectations are,

0:23:46.480 --> 0:23:48.480
<v Speaker 3>and of course we know what valuations are, what in

0:23:48.520 --> 0:23:51.560
<v Speaker 3>a sense being priced in for these companies. So we

0:23:51.720 --> 0:23:55.600
<v Speaker 3>are making judgments about in a sense what exposures we

0:23:55.680 --> 0:23:58.680
<v Speaker 3>want to have, and at our firm, there's no doubt

0:23:58.680 --> 0:24:00.560
<v Speaker 3>we want to have exposures to get what I call

0:24:00.880 --> 0:24:03.639
<v Speaker 3>secular themes. So if you think of a ratio, if

0:24:03.640 --> 0:24:06.119
<v Speaker 3>we could calculate that ratio, we want to, you know,

0:24:06.160 --> 0:24:08.679
<v Speaker 3>have as high as secular as cyclical ratios as we

0:24:08.720 --> 0:24:11.960
<v Speaker 3>possibly can. And when it comes to cyclical companies like

0:24:12.000 --> 0:24:15.159
<v Speaker 3>some of the ones I named, we're absolutely investing in

0:24:15.200 --> 0:24:18.679
<v Speaker 3>the ones that we believe are are clear leaders, you know,

0:24:18.680 --> 0:24:23.159
<v Speaker 3>with real strong and durable competitive advantages, so that you know,

0:24:23.240 --> 0:24:25.760
<v Speaker 3>even if there is some macro weakness, usually the strong

0:24:25.840 --> 0:24:28.240
<v Speaker 3>end up becoming stronger during a macro week week period.

0:24:28.920 --> 0:24:30.960
<v Speaker 2>And I saw you can allocate up to thirty five

0:24:31.000 --> 0:24:34.240
<v Speaker 2>percent of the assets and bt c X to non

0:24:34.320 --> 0:24:38.120
<v Speaker 2>US securities. How do you evaluate global versus US tech opportunities?

0:24:38.880 --> 0:24:41.880
<v Speaker 2>Are there any regional themes you're particularly interested in right now?

0:24:42.240 --> 0:24:44.680
<v Speaker 3>Yeah, so that question also, and that ticker is the

0:24:44.680 --> 0:24:47.320
<v Speaker 3>Barn Technology Fund, of which I'm co manager of. My

0:24:47.359 --> 0:24:49.520
<v Speaker 3>colleague is named Ashra Mehra. I'm gonna put that out there.

0:24:50.040 --> 0:24:52.399
<v Speaker 3>You and I co manage Baron Tech Fund. I'm the

0:24:52.440 --> 0:24:56.119
<v Speaker 3>solo manager of the Baron Opportunity Fund. It is not

0:24:56.400 --> 0:25:02.120
<v Speaker 3>very different, Mike. You know, we most AI e commerce

0:25:02.119 --> 0:25:05.520
<v Speaker 3>for example, are certainly global, even you know, you know,

0:25:05.560 --> 0:25:08.760
<v Speaker 3>great Chinese companies try to reach the US markets. So

0:25:09.359 --> 0:25:12.919
<v Speaker 3>when it comes to a technology trend, we evalue it

0:25:12.960 --> 0:25:16.000
<v Speaker 3>the same. There are certainly, you know, some trends go

0:25:16.080 --> 0:25:19.520
<v Speaker 3>to market. You know, product or service adoption will happen

0:25:19.560 --> 0:25:22.640
<v Speaker 3>in a more localized or regional manner, So we will

0:25:22.640 --> 0:25:26.320
<v Speaker 3>look at that go to market, that penetration, that competitive

0:25:26.359 --> 0:25:29.440
<v Speaker 3>environment in that way. Right, there are global companies, North

0:25:29.480 --> 0:25:32.800
<v Speaker 3>America based companies. Obviously it could be Latin America or

0:25:32.840 --> 0:25:36.520
<v Speaker 3>Asian based companies. So that part of the analysis it

0:25:36.840 --> 0:25:39.600
<v Speaker 3>is certainly, you know, quite similar. You know, we may

0:25:39.600 --> 0:25:43.000
<v Speaker 3>look at particular trends that you know, relate to you know,

0:25:43.080 --> 0:25:45.320
<v Speaker 3>Latin American for example, to pick up an e commerce,

0:25:45.359 --> 0:25:48.199
<v Speaker 3>to pick up of you know, I think neobanks are

0:25:48.240 --> 0:25:52.000
<v Speaker 3>doing better in markets outside of the United States. Why,

0:25:52.080 --> 0:25:57.360
<v Speaker 3>because our banking system is quite mature. We have investments

0:25:57.600 --> 0:26:01.760
<v Speaker 3>in some India businesses. And you know, local commerce, for example,

0:26:01.840 --> 0:26:04.480
<v Speaker 3>is a very big thing, which today in the US

0:26:04.560 --> 0:26:07.520
<v Speaker 3>we might experience with door dash. There are Indian players

0:26:07.520 --> 0:26:10.040
<v Speaker 3>that are doing that, and so these are there's no

0:26:10.080 --> 0:26:12.720
<v Speaker 3>doubt that there are some localized themes that we look at.

0:26:12.880 --> 0:26:14.800
<v Speaker 3>You know that one, for example, you know, what i'll

0:26:14.840 --> 0:26:18.320
<v Speaker 3>call local commerces is one that we're looking at in India.

0:26:18.600 --> 0:26:22.000
<v Speaker 2>And tech valuations are obviously pretty high in aggregate and

0:26:22.000 --> 0:26:25.120
<v Speaker 2>they've dominated index returns for years. Are you worried about

0:26:25.119 --> 0:26:27.919
<v Speaker 2>a possible mean reversion where other sectors start to outperform

0:26:28.320 --> 0:26:29.760
<v Speaker 2>and how would that impact your strategy?

0:26:30.000 --> 0:26:33.959
<v Speaker 3>Yeah, worried is a word. I'm certainly aware of it.

0:26:34.040 --> 0:26:36.280
<v Speaker 3>I think about it all the time. I've done this

0:26:36.359 --> 0:26:39.879
<v Speaker 3>now for twenty something years. I benefited from the period

0:26:39.920 --> 0:26:42.080
<v Speaker 3>of time where tech was out of favor, like coming

0:26:42.119 --> 0:26:43.679
<v Speaker 3>out of the pandemic at the end of twenty two.

0:26:43.680 --> 0:26:46.640
<v Speaker 3>You could read my quarterly letters. I don't ordinarily say, wow,

0:26:46.680 --> 0:26:49.639
<v Speaker 3>this is a massive buying opportunity, but I do price

0:26:49.720 --> 0:26:52.800
<v Speaker 3>targets in a way where I color code them and good.

0:26:53.119 --> 0:26:55.800
<v Speaker 3>The best color is green. The next best color is blue,

0:26:55.840 --> 0:26:58.040
<v Speaker 3>and I put in my core letters. Things are flashing

0:26:58.040 --> 0:27:02.120
<v Speaker 3>green and blue right now. Very aware of where evaluations are.

0:27:02.359 --> 0:27:05.359
<v Speaker 3>Not only do we do particular company valuations, we call

0:27:05.400 --> 0:27:07.080
<v Speaker 3>them peer group because that's what we started on, but

0:27:07.359 --> 0:27:11.720
<v Speaker 3>they're industry based and I know exactly where, and everybody

0:27:11.760 --> 0:27:13.680
<v Speaker 3>in my seat should know that. You know, because the

0:27:13.760 --> 0:27:16.600
<v Speaker 3>data is available. You know where software companies have traded

0:27:16.640 --> 0:27:20.720
<v Speaker 3>at over time versus growth rate, versus margins, where cloud

0:27:20.720 --> 0:27:23.520
<v Speaker 3>computing companies have traded over time internet companies. So we're

0:27:23.600 --> 0:27:26.280
<v Speaker 3>quite aware of that. You know, we you can graph

0:27:26.280 --> 0:27:28.159
<v Speaker 3>all these things, you can look at you know, you

0:27:28.200 --> 0:27:31.040
<v Speaker 3>know where you are within the range. There's no doubt

0:27:31.080 --> 0:27:33.400
<v Speaker 3>that there are some, you know, certainly companies that are

0:27:33.400 --> 0:27:37.479
<v Speaker 3>that are quite expensive. Honestly, we do take that into account.

0:27:37.520 --> 0:27:40.240
<v Speaker 3>I'm not allowed to name particular trades, but you know,

0:27:40.280 --> 0:27:43.000
<v Speaker 3>earlier this year we made a cybersecurity trade. We had

0:27:43.040 --> 0:27:45.919
<v Speaker 3>a company that was a fantastic winner, but we were

0:27:45.920 --> 0:27:48.400
<v Speaker 3>able to shift it into you know, that's a little

0:27:48.400 --> 0:27:51.399
<v Speaker 3>bit less developed, lower market cap company that we also

0:27:51.520 --> 0:27:54.840
<v Speaker 3>perceived as a winner. And basically, you know, we were

0:27:54.840 --> 0:27:57.359
<v Speaker 3>trading about ten multiple points for that the company we

0:27:57.440 --> 0:27:59.359
<v Speaker 3>ended up getting into ended up being acquired, so that

0:27:59.400 --> 0:28:02.199
<v Speaker 3>was a nice risus. But we're not always making those trades.

0:28:02.359 --> 0:28:04.920
<v Speaker 3>And when I think about it, I really don't look

0:28:04.920 --> 0:28:07.040
<v Speaker 3>at I'm well aware of the one year or two

0:28:07.119 --> 0:28:10.440
<v Speaker 3>year forward multiple. The question is how much money can

0:28:10.480 --> 0:28:13.359
<v Speaker 3>we make over the long term? And at Baron we

0:28:13.480 --> 0:28:15.280
<v Speaker 3>look in four or five year time periods and then

0:28:15.320 --> 0:28:18.240
<v Speaker 3>we stack them continuously on top of each other. So

0:28:18.280 --> 0:28:19.840
<v Speaker 3>how much money can I make in a four or

0:28:19.840 --> 0:28:22.680
<v Speaker 3>five year time period? Basically our goal is to look

0:28:22.680 --> 0:28:25.760
<v Speaker 3>for a fifteen percent annualized return. I want a little

0:28:25.800 --> 0:28:28.000
<v Speaker 3>bit better than that. We know, sometimes I'm going to

0:28:28.400 --> 0:28:30.480
<v Speaker 3>use my hand that stocks or sometimes you know, if

0:28:30.480 --> 0:28:33.439
<v Speaker 3>you plot that line, sometimes they're above, sometimes they're below.

0:28:34.080 --> 0:28:36.840
<v Speaker 3>We also look at downside risk, and downside risk is

0:28:36.920 --> 0:28:40.320
<v Speaker 3>also often multiple contraction, you know, from something going on,

0:28:40.440 --> 0:28:42.480
<v Speaker 3>you know with the market. Of course we had that around,

0:28:42.840 --> 0:28:46.400
<v Speaker 3>you know that, you know, the tax or sorry, tariff

0:28:46.400 --> 0:28:48.520
<v Speaker 3>for you know what people call liberation. To hate that

0:28:48.600 --> 0:28:50.840
<v Speaker 3>term because it didn't feel so liberating to me, but

0:28:51.160 --> 0:28:53.960
<v Speaker 3>you know, the tariff period, and so all of these

0:28:54.000 --> 0:28:57.040
<v Speaker 3>things are taken into account in our portfolio management in

0:28:57.120 --> 0:29:00.520
<v Speaker 3>terms of position sizing, what exposures you want to have

0:29:00.600 --> 0:29:04.160
<v Speaker 3>in our portfolio. So it's absolutely not ignored. But to

0:29:04.200 --> 0:29:06.920
<v Speaker 3>be clear to anyone at Barn Capital, you know, we're

0:29:06.920 --> 0:29:09.200
<v Speaker 3>mostly focused on the long term. We want to invest

0:29:09.240 --> 0:29:11.120
<v Speaker 3>in companies that we believe with the long term winners

0:29:11.160 --> 0:29:14.320
<v Speaker 3>because they have durable competitive advantages. And we will not

0:29:14.600 --> 0:29:17.600
<v Speaker 3>over emphasize, like you know, a meaningful short term move

0:29:17.600 --> 0:29:19.480
<v Speaker 3>in the stock price if we think the long term

0:29:19.520 --> 0:29:21.080
<v Speaker 3>opportunity is still very, very attractive.

0:29:21.320 --> 0:29:23.760
<v Speaker 2>And what's one theme you think is really underappreciated by

0:29:23.760 --> 0:29:24.520
<v Speaker 2>the market today.

0:29:24.920 --> 0:29:27.560
<v Speaker 3>Wow, that's a that's an excellent question. One theme that

0:29:27.640 --> 0:29:34.040
<v Speaker 3>is under appreciated, I will probably say it's talked about,

0:29:34.040 --> 0:29:36.080
<v Speaker 3>but I'm not sure how appreciated is what I'll call

0:29:36.160 --> 0:29:40.320
<v Speaker 3>physical AI. Physical AI can be lots and lots of forms,

0:29:40.360 --> 0:29:42.480
<v Speaker 3>the ones that are you know, and lots of people's faces.

0:29:42.520 --> 0:29:46.000
<v Speaker 3>Of course, are you know what Tesla calls full self driving,

0:29:46.040 --> 0:29:49.640
<v Speaker 3>others called autonomous driving. I just came from San Francisco

0:29:49.920 --> 0:29:52.719
<v Speaker 3>and we drove around Weymos right, and Testa is now

0:29:52.760 --> 0:29:55.400
<v Speaker 3>rolling at robotaxi. I couldn't get a robotaxi because they

0:29:55.600 --> 0:29:57.760
<v Speaker 3>they wouldn't let me take when I didn't sign up

0:29:57.800 --> 0:30:00.880
<v Speaker 3>early enough. Of course, robotics right what Tessa's doing again

0:30:00.880 --> 0:30:02.960
<v Speaker 3>with Optimists and others are but there's other things. We

0:30:02.960 --> 0:30:05.959
<v Speaker 3>have a company called Somsara that we have invested in.

0:30:06.480 --> 0:30:10.959
<v Speaker 3>Their ticker is IoT Internet of Things because they are

0:30:11.000 --> 0:30:16.320
<v Speaker 3>trying to bring artificial intelligence to the physical world. So

0:30:16.360 --> 0:30:21.440
<v Speaker 3>they you know, they're doing with vehicles, vehicle safety, vehicle telematics,

0:30:21.440 --> 0:30:24.080
<v Speaker 3>but they also have a really strong growth business in

0:30:24.200 --> 0:30:27.840
<v Speaker 3>all other types of physical assets that they can monitor

0:30:28.320 --> 0:30:31.040
<v Speaker 3>for location. They're doing tanks for fill rates and all

0:30:31.040 --> 0:30:33.920
<v Speaker 3>these other things. And they sat on their last conference

0:30:33.920 --> 0:30:35.920
<v Speaker 3>call and it was in their corely letter like you

0:30:36.040 --> 0:30:38.320
<v Speaker 3>can't train your models on stuff for the Internet for

0:30:38.400 --> 0:30:41.040
<v Speaker 3>what we do, so it's very distinct. So I would

0:30:41.080 --> 0:30:45.960
<v Speaker 3>say physical AI in all forms, not only autonomous driving

0:30:46.000 --> 0:30:47.920
<v Speaker 3>and robotics for people are things that people should watch

0:30:47.960 --> 0:30:50.320
<v Speaker 3>out for. I can name a lot of others. I

0:30:50.360 --> 0:30:52.720
<v Speaker 3>think AI and healthcare will also be a massive theme

0:30:52.760 --> 0:30:53.960
<v Speaker 3>as well. I want to put that in there.

0:30:55.640 --> 0:30:57.840
<v Speaker 2>And is there an under the radar secular theme you

0:30:57.880 --> 0:31:00.640
<v Speaker 2>believe can emerge as a core opportunity over the next

0:31:00.680 --> 0:31:01.280
<v Speaker 2>decade or so?

0:31:01.960 --> 0:31:04.360
<v Speaker 3>Hard to say, the markets. The market's you know, obviously

0:31:04.400 --> 0:31:07.720
<v Speaker 3>pretty smart. The question, you know, at any point is valuation.

0:31:09.480 --> 0:31:13.280
<v Speaker 3>I think a lot of the AI themes the market

0:31:13.320 --> 0:31:17.320
<v Speaker 3>was uncertain. Certainly there was a scare around Deep Seek.

0:31:18.240 --> 0:31:20.720
<v Speaker 3>Most of those themes are being played today. I thought

0:31:20.760 --> 0:31:23.040
<v Speaker 3>you guys would ask me about Sam Altman's comment about

0:31:23.040 --> 0:31:25.680
<v Speaker 3>the bubble. I think, you know, if you honestly listen

0:31:25.720 --> 0:31:28.280
<v Speaker 3>to what Sam was really saying, he was saying, not

0:31:28.480 --> 0:31:30.600
<v Speaker 3>all of AI is a bubble. You know, if you've

0:31:30.600 --> 0:31:32.720
<v Speaker 3>seen the you know, information reports, they're going to have

0:31:32.720 --> 0:31:35.120
<v Speaker 3>to raise one hundred and fifteen billion over the next

0:31:35.160 --> 0:31:37.600
<v Speaker 3>I can't remember four or five years. So certainly they're

0:31:37.600 --> 0:31:41.280
<v Speaker 3>not making the argument that, you know, chat ept is

0:31:41.280 --> 0:31:43.320
<v Speaker 3>a bubble, but that there are probably other companies that

0:31:43.400 --> 0:31:47.000
<v Speaker 3>have bubble. I don't dispute that there was some bubble somewhere.

0:31:48.080 --> 0:31:51.360
<v Speaker 3>I don't know that much is missed today when we

0:31:51.400 --> 0:31:54.280
<v Speaker 3>think about artificial intelligence. To be candid, it's gonna affect

0:31:54.280 --> 0:31:57.680
<v Speaker 3>every area you know, of the economy, and so you know,

0:31:57.720 --> 0:31:59.880
<v Speaker 3>it's going to be software, it's going to be consumer application,

0:32:00.160 --> 0:32:02.320
<v Speaker 3>it's going to be the infrastructure, it's going to be

0:32:02.400 --> 0:32:05.320
<v Speaker 3>the energy, infrastructure, I'm trying to think of one that

0:32:05.360 --> 0:32:10.040
<v Speaker 3>I think has completely missed today. I think, honestly slower

0:32:10.120 --> 0:32:14.360
<v Speaker 3>right now is probably the impact that artificial intelligence will

0:32:14.360 --> 0:32:17.880
<v Speaker 3>have in healthcare. We have a few small investments are

0:32:17.920 --> 0:32:21.760
<v Speaker 3>certainly very interesting private companies. It takes a little bit

0:32:21.800 --> 0:32:24.760
<v Speaker 3>longer in that space because of course, you know, AI

0:32:25.160 --> 0:32:29.640
<v Speaker 3>is not always you know, perfectly correct right. It's probabilistic

0:32:29.960 --> 0:32:33.760
<v Speaker 3>versus what's called deterministic. In healthcare, you need to be right.

0:32:34.560 --> 0:32:36.480
<v Speaker 3>So I think it'll take a little bit longer for adoption,

0:32:37.200 --> 0:32:39.280
<v Speaker 3>but I think it will. It will really impact healthcare.

0:32:39.280 --> 0:32:42.160
<v Speaker 3>We have some small investments there in that space, and

0:32:42.200 --> 0:32:43.600
<v Speaker 3>we're watching it really really carefully.

0:32:43.840 --> 0:32:46.480
<v Speaker 1>Well be something I'll watch out clar But we have

0:32:46.560 --> 0:32:50.080
<v Speaker 1>to end here, unfortunately, but this was a great conversation, Michael,

0:32:50.120 --> 0:32:51.440
<v Speaker 1>Thank you so much for joining.

0:32:51.200 --> 0:32:54.440
<v Speaker 3>Us, both of you, David and Michael, thanks for having me.

0:32:54.480 --> 0:32:55.160
<v Speaker 3>I appreciate it.

0:32:55.320 --> 0:32:59.320
<v Speaker 1>Thank you both, and thanks Mike for being my cost Yeah,

0:32:59.400 --> 0:33:02.520
<v Speaker 1>thank you both, and I want to thank you for listening.

0:33:02.560 --> 0:33:05.880
<v Speaker 1>If you liked the episode, please subscribe and leave a review. Also,

0:33:05.920 --> 0:33:08.000
<v Speaker 1>if you'd like to see more of our research on

0:33:08.040 --> 0:33:10.760
<v Speaker 1>the Bloomberg terminal, go to BI fund Go and b

0:33:10.960 --> 0:33:14.520
<v Speaker 1>I S t o x go Until our next episode.

0:33:14.600 --> 0:33:16.480
<v Speaker 1>This is David Phone with inside out