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The IPO Frenzy Has Begun — ft. Howard Marks

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The IPO Frenzy Has Begun — ft. Howard Marks

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1345 segments

0:00

You have to accept the likelihood that

0:03

what you're doing is closer to

0:05

speculating. And I don't say that word

0:07

pajoratively

0:09

than analytical investing. [music]

0:11

There's a spectrum which goes from what

0:15

I'll call analytical investing in

0:17

[music]

0:17

prosaic

0:19

understandable companies to speculative

0:22

investing [music] in futuristic

0:25

companies that can't be described at

0:27

all. You should calibrate your

0:28

activities based on where you are on

0:30

that [music] spectrum. That's the whole

0:32

thing. And it's very hard to do. This is

0:34

the hardest thing I think I've ever seen

0:36

in the investment world because of this

0:38

[music] enormous degree of uncertainty.

0:45

Welcome to Profy Markets. This could be

0:48

one of the most consequential weeks for

0:50

the markets in years. Today, SpaceX is

0:53

expected to complete the largest IPO in

0:56

history, and it may be just the

0:58

beginning. Anthropic and OpenAI have

1:00

both filed to go public, setting the

1:02

stage for a wave of blockbuster

1:04

offerings. Meanwhile, some of the

1:06

richest companies on the planet are

1:08

competing for investor capital before

1:10

the IPO pipeline fully opens. As we've

1:12

discussed last week, Google announced

1:14

the biggest stock sale in history, and

1:16

Meta signaled that it too is exploring a

1:18

major equity raise. So, how should

1:21

investors think about this moment? What

1:23

happens when an unprecedented amount of

1:25

equity hits the market? What are the

1:27

opportunities and what are the risks? To

1:29

help us make sense of it all, we're

1:31

joined by someone who spent more than 35

1:33

years writing some of Wall Street's most

1:36

influential memos and has earned a

1:38

reputation as the king of common sense.

1:41

His memos inform investors across

1:42

finance, even Warren Buffett himself.

1:45

This is our conversation with Howard

1:46

Marx, the co-founder and co-chairman of

1:50

Oak Tree Capital Management. Howard,

1:53

thank you so much for joining us. I want

1:54

to start with a quote that you said in

1:57

one of your earliest members. You said,

1:58

quote, "In the late stages of the great

2:00

bull markets, people become willing to

2:02

pay prices for stocks that assume the

2:04

good times will go on add [music]

2:06

infinitum. We're about to see this

2:08

SpaceX IPO. This company is about to be

2:10

priced at more than 100 times sales. We

2:13

have a feeling that this is a little bit

2:15

of investor spirits, animal spirits,

2:18

people thinking it's the good times.

2:19

What do you make of this IPO and the

2:21

other IPOs that we're seeing? Is this a

2:24

frothy market?

2:26

>> There's no question about the fact to

2:28

use Alan Greenspan's saying from about

2:32

30 years ago that we have exuberance.

2:35

That's the only thing we know for sure.

2:37

He pioneered the phrase irrational

2:40

exuberance.

2:42

The question is, is today's exuberance

2:45

irrational? Number one, I don't think

2:47

anybody can definitively say so. And the

2:50

reason I say that is that I don't think

2:54

I've never heard anybody tell me exactly

2:57

what AI will be able to do

3:01

or when or for whom or how much profit

3:06

it'll produce and for whom. There's an

3:10

arms race going on uh between what you

3:13

described as some of the greatest

3:15

companies on the planet.

3:18

I would describe what we call the

3:20

hyperscalers as uh mostly the greatest

3:25

companies I've ever seen. And they're

3:28

engaged in an arm arms race. Can only

3:31

one win? Is it win or take all? Can

3:33

several win? Nobody can tell me these

3:35

things. So I don't think there's a an

3:39

analytical

3:41

or what we call a valuebased way to

3:45

decide whether or not to participate in

3:47

these IPOs and at and if so at what

3:51

price wherein you know the AI as far as

3:57

I think virtually all of us are

4:00

concerned is a concept

4:03

we can't define its parameters

4:06

And um it's a great concept. It's likely

4:10

to be the most powerful force any of us

4:12

have ever seen.

4:14

But that's I think that's all we know.

4:18

And a decision to participate or not

4:22

participate and what price to

4:24

participate at is it's really uh well

4:30

it's what my South African friends call

4:32

a thumbsuck

4:34

you know. uh uh you can't put numbers on

4:37

a pad and figure out what these things

4:39

are worth, which is what uh value

4:42

investors like me historically have

4:43

done.

4:44

>> I guess the question then is cuz I agree

4:47

with you that you ask these questions

4:49

and investors say don't worry about it.

4:51

It's not really about the fundamentals

4:53

right now. It's about the future. It's

4:55

about the technology. It's about what's

4:56

going to happen at some point in the

4:59

timeline. That sounds a lot like the

5:03

irrational exuberance that we have seen

5:06

in previous cycles. And you've been

5:09

around to see many of them and you've

5:11

invested and made a lot of money uh

5:14

trading and and figuring out an

5:15

investment strategy to profit off of

5:17

those cycles and to time it correctly.

5:20

Um

5:22

or you could correct me on what your

5:23

strategy was. Uh but does it not seem

5:27

like those previous cycles? Does it not

5:29

feel to you like I don't know.com era?

5:32

>> It does feel like that. We have a

5:36

technological

5:37

innovation.

5:39

I've seen several. I've read about many

5:42

more over the last uh let's say 150

5:47

years. This may be the greatest. This

5:49

may be the most powerful.

5:52

It's also in many ways the least

5:54

specifiable.

5:56

So the the the technological innovations

5:59

I'm talking about let's just for a

6:01

starting point let's say the railroads

6:04

back in the 1860s

6:06

and then uh radio in the 1920s uh the

6:11

automobile uh computers in the 1950s

6:15

and60s uh internet in 2000 uh it may be

6:21

revisionist history but I think we had a

6:24

much better view of what all of those

6:27

could do.

6:29

They didn't have this unimaginable,

6:32

unlimitable

6:34

upside that AI has

6:37

or the in my opinion degree of

6:40

uncertainty.

6:42

We knew that the railroad would carry

6:44

goods and people from coast to coast. Uh

6:47

uh we knew that radio would carry

6:50

messages. um we may not have known

6:52

exactly how they would produce profits

6:55

uh or how they would become television

6:58

but um anyway

7:01

all the things I mentioned

7:04

were accompanied by what we call

7:06

bubbles.

7:07

People got excited

7:10

about developments which were

7:12

unprecedented.

7:15

They threw vast amounts of money about

7:20

uh building the infrastructure for it.

7:24

There was a winner take all race. There

7:28

was excitement. There was exuberance.

7:32

The capital flowed in like water.

7:35

In every case, too much capital flowed

7:39

in. I think it's fair to say too much

7:41

infrastructure was built and prices were

7:46

paid that were too high and a lot of the

7:49

people who provided the capital for

7:54

these

7:56

bubbles lost their money. I think it's

7:59

fair to say that those comments are have

8:03

been true in every case that I

8:05

enumerated.

8:07

So I wrote in a memo uh recently this

8:10

year and I think it's true

8:13

that if this technological innovation

8:18

with its exuberance

8:20

doesn't produce

8:22

a money losing bubble, it'll be the

8:25

first.

8:28

And now it could happen. You you know

8:30

you can't rule these things out. And you

8:33

know, uh maybe this is a good time for

8:35

me to introduce the rejoinder of the uh

8:39

of the optimist.

8:41

What do they say? This time it's

8:43

different.

8:45

Okay, that was true about the railroads.

8:47

It was true about radio. It was true

8:48

about computers and the internet. But

8:50

this time it's different. And this time

8:53

we have a development of incalculable

8:57

unlimitable

8:58

uh value. So there this time it's really

9:02

true that there's no price too high.

9:05

That's what they say,

9:06

>> right?

9:07

>> But the problem with that ad is they

9:08

always say that this time it's different

9:12

is never different.

9:14

And they've said it in each of those

9:16

bubbles that I mentioned. I think so all

9:22

nobody including me should say

9:25

definitively that this is a bubble that

9:27

the people who invest uh in in in the

9:30

these early stages of AI will lose their

9:32

money that the people who invest in the

9:35

companies you named uh will pay prices

9:38

that they'll never see again

9:41

but you must be alert to the

9:43

possibility. The way people get into

9:45

trouble is by not being alert to the

9:48

possibility.

9:48

>> And this all seems incredibly relevant

9:50

today on the day when SpaceX is set to

9:54

go public at, you know, close to a $2

9:55

trillion valuation. We'll see how it

9:57

trades. But if you're looking for

9:59

signals of everything you just

10:01

described,

10:02

it seems like that's it.

10:04

>> My favorite fortune cookie says that the

10:06

cautious hold them or or write great

10:09

poetry.

10:11

So, so you know, uh, uh, investing in

10:15

these companies today could be a huge

10:17

error, but it could be great poetry and

10:20

the people who, uh, resist because it

10:24

could be an error could miss out on the

10:27

greatest thing in history. And that's

10:29

what makes these decisions so hard.

10:33

you know the people who invest today in

10:36

in traditional industries in

10:38

transportation in distribution uh in

10:42

retailing in real estate they don't have

10:46

for the most part the risk of creating

10:49

of of committing grievous error but they

10:52

also don't have access to the possibly

10:56

best thing in history.

10:58

So you just have when you sit here with

11:02

something that's so young

11:05

and where the future is so

11:11

unestimable,

11:13

you just have to deal with it as a

11:15

concept

11:17

or not deal.

11:18

>> How does an investor deal with it, so to

11:20

speak? I I I like the fact that you

11:24

said,

11:25

you know, sort of like, you know, what

11:28

could go right. Uh the upside is sort of

11:31

unimaginable. The down I mean, it sounds

11:34

like you recognize

11:36

that both scenarios are are feasible

11:38

here. The bulls could be right, the

11:40

bears could be right, but in terms of

11:43

how do you actually invest around it?

11:45

Because I look at these companies and at

11:47

a $4 trillion valuation if it is in fact

11:51

the upside scenario I I don't see how

11:54

any other company survives. We end up

11:56

with five companies. If these companies

11:58

actually become worth 50 or hundred

12:00

trillion dollars if they have the same

12:01

type of returns we're used to getting

12:03

from Amazon or Apple or Google and they

12:04

went public. That means there's going to

12:06

be three or four companies controlling

12:08

all of the market cap globally, which I

12:11

I my mind blows trying to think about

12:13

what that would mean for society.

12:16

What if you're a 25 or 35year-old trying

12:19

to, you know, thinking about building

12:20

wealth and you got your 401k, how do you

12:22

invest around the kind of the unknowable

12:24

here

12:24

>> in dealing with the future? The way most

12:27

people deal with the future is by coming

12:28

up with the forecast.

12:30

I argue strenously that if you want to

12:32

deal with the future, you need two

12:34

things, not one. You need a forecast

12:37

and you need a judgment regarding the

12:40

probability that your forecast is right.

12:44

So, uh you can make a forecast about the

12:47

future of AI. You can make a forecast

12:49

which is optimistic. But I I I I just

12:52

think

12:55

if you say this is my judgment about the

12:57

future of AI, and by the way, I'm highly

13:00

confident that I'm right,

13:03

I think you're probably making a big

13:04

mistake. Uh, you know, I've never met

13:07

anybody who who thinks they can tell me

13:09

uh what what this world is going to look

13:11

like five or 10 years from now. And and

13:14

so why should any the young person you

13:16

described who's starting who's laying

13:18

the foundation for his investment uh

13:20

portfolio, why should he conclude that

13:23

he's probably right when all these other

13:26

people are? We know it could be great. I

13:28

bet it's probably going to be great. I

13:30

said in my last memo that it's that it

13:32

in terms of its basic capabilities, my

13:35

guess is that it's more likely to be

13:37

underestimated today than overestimated

13:40

today. But what we're talking about is

13:42

how much capital should it receive and

13:46

what is a piece of a company that

13:50

engages in this activity worth?

13:53

And you know, the value investor, the

13:55

old-fashioned investor like like me and

13:58

and and my uh fellow travelers, what we

14:02

do is we figure out what a company's

14:04

like, what what it we we look at what it

14:06

makes today and what it's what potential

14:10

earning power it's building. We try to

14:13

figure out what its earnings will be in

14:14

five or 10 years. We put a what we think

14:17

is a reasonable valuation on those

14:20

earnings largely related to the the

14:24

earnings potential in the subsequent

14:26

decades and then we look at the price

14:29

today and we try to figure out whether

14:31

today's price is fair relative to that

14:33

earnings power and you know I don't

14:38

think I've ever seen an industry or

14:40

companies where that is less feasible

14:45

you know If if somebody will will tell

14:48

me what they think anthropic

14:52

net earnings will be in 2036,

14:58

I'll bet them that they're not within

15:01

50% of the truth.

15:05

Of course, we'd have to wait 10 years to

15:07

find out. But if I'm right, how then you

15:11

and you make an investment in anthropic

15:13

stock in the IPO, you have to

15:17

accept the likelihood

15:21

that you're that what you're doing is

15:23

closer to speculating, and I don't say

15:26

that word pajoratively,

15:28

than than analytical investing.

15:32

And you have to there's a there's a

15:35

there's a spectrum which goes from what

15:39

I'll call analytical investing in

15:41

prosaic

15:42

understandable companies to

15:46

speculative investing in futuristic

15:50

companies that can't be described at

15:52

all. And you have to you you should you

15:55

should calibrate your activities based

15:57

on where you are on that spectrum.

16:01

That's the whole thing. And it it's it's

16:03

very hard to do especi this is the

16:05

hardest thing I think I've ever seen in

16:08

the investment world because of this

16:11

enormous degree of uncertainty.

16:14

>> Are there other sectors where you feel

16:16

more confident other asset classes or

16:19

other

16:20

uh business sectors where you think

16:22

you're more comfortable looking making a

16:24

forecast and saying this appears to be

16:26

overvalued or undervalued? Well, that's

16:28

what we do for a living and historically

16:31

we have made those judgments u and you

16:35

know pretty well. Uh but then since the

16:39

internet came along roughly 30 years ago

16:43

we have a new concept which is extremely

16:46

important today and that's disruption.

16:49

You take what I call a prosaic company

16:51

in a prosaic industry and you say well

16:55

that it's not so futuristic. we can

16:57

probably anticipate what it's going to

16:59

look like in five or 10 years from now

17:01

and it's not it doesn't have these

17:04

technological

17:05

things that that are going to make it or

17:08

break it. But then you think a little

17:11

further and you say well let me think

17:13

about whether that's right you know 30

17:15

years ago u

17:18

we have this word in the value investing

17:20

business or the investment business

17:22

called a moat things that surround a

17:24

company that are protective that that

17:27

make it less uh attackable

17:31

and uh historically the value investor

17:34

the cautious analytical investor has

17:36

preferred to invest in companies with

17:38

modes

17:39

So if you go back 30 years ago, what was

17:42

an example of a company with a great

17:43

moat? And a great example is a

17:45

newspaper.

17:47

And if you owned the newspaper in a

17:49

given city,

17:51

it would be hard for a competitor to

17:53

start up from scratch,

17:56

the newspaper from another city couldn't

17:59

compete against you because the the used

18:01

car ads and the help wanted ads and the

18:04

movie times would all be irrelevant in

18:07

your city. and it cost uh a quarter,

18:10

let's say, so anybody could afford it.

18:14

And if people bought one today, they'd

18:17

still have to buy it tomorrow because

18:20

yesterday's newspaper is already

18:21

obsolete. So, it's a small amount of

18:24

money that people are going to spend

18:25

regularly and and they're never done

18:28

buying it. And it can't be uh you know,

18:32

there are reasons why radio couldn't

18:34

compete and why the newspaper from the

18:36

next town could compete. That's that was

18:37

a strong set of modes and a lot of smart

18:41

people invested in mo in the newspapers

18:43

and and made a lot of money. Now it's

18:46

true of the movie industry and and and

18:48

other in particular communications

18:50

industries.

18:52

But now the newspapers are a lot of them

18:55

are out of business and uh they're under

18:59

profit pressure.

19:01

Uh so what happened to the book?

19:05

And the answer is that the internet and

19:06

digital communications came along and

19:08

put a lot of them out of business and

19:11

gave them competition that nobody

19:14

thought

19:15

was possible 30 years ago. So the so and

19:18

I'm sorry for the length of this uh uh

19:21

discussion but

19:24

what's what can't be disrupted now by

19:28

AI? Who can't lose their job to AI? I

19:32

used to say, "Well, uh, how about

19:34

everybody says plumbers?"

19:37

>> Well, maybe a maybe a robot can come

19:39

into your house and with a camera and

19:42

assess your situation and make the

19:44

needed repairs.

19:46

Then I said, "Sure.

19:50

Why can't somebody build a robot that

19:52

can give you a good massage?"

19:54

and and so

19:57

the world has become a much more

19:59

uncertain place. The the probabilities

20:03

that can be assigned to the future are

20:07

much broader

20:10

today than ever. I think that's an

20:13

important change.

20:15

When I was a kid,

20:17

the world didn't change. A a comic book

20:21

was always a dime.

20:23

new technologies didn't come along that

20:25

often. Uh

20:28

the world we were pretty confident that

20:30

the world would look the same 10 years

20:31

later and for the most part it did. But

20:35

today I think you have to uh uh accept

20:39

that much more change is possible. So

20:42

the investor has to recognize that he or

20:47

she is living in and [music] dealing in

20:50

a much less predictable world.

20:55

We'll be right back after the break.

20:56

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24:52

>> We're back with profy markets.

24:54

>> Given that you do you are a fiduciary

24:56

for other people's capital, you do have

24:58

to make forecasts and develop thesis and

25:02

invest people's capital. So at some

25:06

point I I can't imagine. So let let's

25:09

acknowledge that there's more known

25:10

unknowables or unknown unknown

25:12

unknowables than ever before given that

25:15

you are charged with deploying capital

25:17

and developing forecasts and thesis.

25:19

What are some of those forecast where do

25:21

you find value right now?

25:24

>> I still think there is a uh more

25:26

predictable part of the economy. It'll

25:29

probably be a while before the energy

25:32

business gets disrupted to the point

25:35

where we use something in lie of oil and

25:37

gas. That's probably largely true of the

25:40

food industry,

25:42

uh probably the timber industry and and

25:45

the home building industry,

25:48

uh transportation.

25:50

It's probably going to be uh a while

25:52

before we walk into a station, become

25:55

dematerialized, and show up in another

25:57

city.

25:59

retail uh you know uh has been disrupted

26:03

but it looks we're maybe we're at a

26:05

baseline level of of of in-person

26:08

shopping that's not going to go further.

26:10

I don't know but so you can identify

26:13

areas u

26:16

you know metals and mining uh paper

26:19

chemicals I guess I would say for the

26:22

most part that things that have less

26:24

intellectual content

26:27

>> are less likely to be disrupted by AI

26:32

which is uh basically an intellectual

26:36

problem solver and productivity tool

26:40

So, uh, you know, I think I think that's

26:44

you can we can make a list of things

26:47

that we think are, uh, less likely to be

26:49

disrupted by AI.

26:52

Uh, we just shouldn't be too cockshore

26:54

about it. But that's what we do for a

26:57

living, Scott. We're still investing.

26:59

We're investing according to the same

27:01

investment philosophy and in many of the

27:04

same industries. Uh but we have to

27:07

constantly renew our thinking. The worst

27:10

the it seems that the most laughable

27:13

thing to do today would be to say you

27:16

know I found some companies in industry

27:18

that industries that'll never change.

27:20

>> I'm just looking at the Schiller PE

27:23

ratio which is currently close to 42

27:27

very close to the bubble era where it

27:30

hit a peak of 44 times earnings. Um,

27:35

that right there is an example of an

27:36

indicator that we could draw whatever

27:40

meaning we want from it. Um, and I could

27:43

say, okay, here we are. We're at the

27:46

top. This is the bubble. But I'm not

27:48

sure how much I should believe that. I

27:50

guess my question to you, what kinds of

27:53

indicators do you find to be most

27:56

informative or most valuable when you're

27:58

assessing the exuberance uh and and the

28:02

value of of stocks and and bonds and

28:04

everything in the markets today. We

28:06

start with the traditional indicators of

28:10

valuation like the PE ratio whether it's

28:12

the Schiller uh uh cape ratio or the

28:16

traditional uh S&P PE ratio and you know

28:21

those things showed the the uh market to

28:24

be uh I used the expression a year ago

28:28

uh lofty but not naughty. you know, the

28:31

the the non-sheller PE ratio uh is about

28:34

23 or so today. Uh the 80-year average

28:39

is 16. Uh so we're roughly 50% higher

28:43

today. But in 2000, I think it was 32.

28:48

When I started in this business as a

28:49

young man 1969 uh in the research

28:52

department at City Bank, the bank and

28:55

most of the banks invested in what were

28:56

called the nifty50 which were considered

28:59

to be the best and fastest growing

29:00

companies in America. Xerox, IBM, Kodak,

29:02

Polaroid, Mercy, Texas Instruments,

29:05

Hulu, Packard, Coca-Cola, Avon, etc. And

29:09

most of those stocks were selling at PE

29:11

ratios between 60 and 90.

29:14

So, so to look at at the uh at the max 7

29:21

takeout uh Tesla,

29:25

they're selling at P ratios in the 30s.

29:28

Doesn't sound so expensive to me, but

29:30

that and that's just PE, but but you

29:33

know, you can't just depend on PE.

29:35

That's too simplistic. The companies are

29:37

different. Their capital intensiveness

29:40

is lower. their their marginal

29:43

profitability is higher since the

29:46

product is an intellectual product

29:48

rather than a piece of metal. Uh it

29:50

doesn't cost much to make the next one.

29:53

So they can so they can their

29:56

incremental profitability is much

29:58

higher. And then another thing is we've

30:02

never ever seen companies growing at the

30:04

rates of today. you know, and I don't

30:07

know the Pacific, so I don't want to go

30:09

there, but you know, you hear about

30:11

companies that are growing 50% a month

30:13

or 100% a year or whatever it might be.

30:17

You never seen that before. And you

30:21

know, uh, you look at AI and the

30:23

progress that it has made in the last

30:25

four years, you know, three years ago,

30:29

uh, you know, you talk about Moes, you

30:32

talk about impregnability. Uh three

30:34

years ago, most people thought software

30:37

was a great industry uh to invest in

30:40

because uh everybody who who used

30:43

computers, which was everybody, needed

30:45

software. And if you had a software

30:48

system that served your company and

30:50

industry, uh it

30:54

it would be expensive to change. And and

30:57

for the most part, it was hard to figure

30:58

out a reason to change. So that's that's

31:00

a pretty good moat.

31:03

More recently, people are wondering

31:05

whether the whole software industry is

31:06

going to go out of business because a

31:08

because nobody writes software anymore.

31:11

Uh AI writes its own software for

31:14

itself. Uh uh people have to tell it

31:18

what to write but it can write it

31:19

without any help. So now people have in

31:24

that world there's something called SAS

31:27

software as a service and around

31:31

February 1st we had something called the

31:33

CES apocalypse

31:35

where you know the the uh the great AI

31:39

companies announced some some uh coding

31:43

models and everybody said that's it the

31:46

whole software industry has gone out of

31:48

business. Now that's probably an

31:49

exaggeration.

31:50

Um but uh it's very hard to figure out

31:56

these things. I by the way I want to

31:58

come back to something that you asked me

32:00

a long time ago and I never I didn't

32:03

answer and I don't want to leave it

32:04

unanswered.

32:06

How do you invest

32:08

in this given all these uncertainties

32:10

that I'm talking about? And you know

32:12

what history has shown is that one of

32:15

the greatest mistakes you can make is

32:17

being not optimistic enough. And another

32:20

mistake you can make is to say the

32:23

future is unclear, so I can't invest.

32:27

Those two things don't necessarily go

32:28

together. The future is always unclear.

32:31

Maybe it's more unclear than ever, but

32:34

that's not a reason not to invest. You

32:36

just have to invest carefully,

32:39

knowingly. You have to be a aware of the

32:42

of the risks you're taking. So, how to

32:45

invest in AI? Uh it like anything else

32:49

there's a spectrum and at one end of the

32:51

spectrum we have ultra high possible

32:55

returns with great uncertainty

32:58

and at the other end of the spectrum

33:00

maybe we have somewhat lower possible

33:02

returns with less uncertainty.

33:05

Now all of this is more uncertain than

33:09

ever but that spectrum still exists and

33:12

so you can choose a point on that

33:13

spectrum. Let me give you a couple

33:15

examples.

33:16

uh you can invest in what we call the

33:19

hyperscalers

33:22

uh Amazon, Google, Meta, uh Microsoft um

33:27

for example,

33:30

they have established businesses with

33:33

moes, enormous operating cash flow.

33:38

They want to get into AI. they

33:42

maybe feel that they have to compete

33:45

vigorously in this winner take all

33:47

battle. Uh but still with established

33:52

businesses and cash flow and some

33:55

diversity of business

33:57

these are as I said before without

34:00

naming names some of the greatest

34:02

companies I've ever seen. So, so you

34:05

would think that investing in them would

34:08

be maybe the lowrisk way to invest in

34:12

AI, but if AI booms and takes off and

34:14

octuples in the next three years, uh,

34:17

since they have other businesses holding

34:20

back their growth rate, they're not

34:22

going to be the maximum profit winners.

34:26

Then you have, uh, established

34:28

companies.

34:30

As you said before, you don't we don't

34:32

know their profitability, their

34:33

finances, and maybe and they're one

34:36

product companies in the sense that

34:38

they're all AI. So maybe it's harder to

34:42

specify their future. But Anthropic and

34:47

Open AI for example,

34:50

Nvidia

34:53

have a very high probability I think not

34:56

being an expert, a high probability of

34:59

still being successful 5 or 10 years

35:01

from now.

35:03

They may not be the number one they are

35:06

today, but they're unlikely, I think, to

35:11

be obsoleted. So they're

35:14

depending on the price you pay and its

35:16

fairness they may be riskier than the

35:20

hyperscalers

35:22

but they're not uh make it or break it.

35:24

They're not you know they're already up

35:26

and running. And then you have startups

35:30

you have startups where you don't know

35:33

uh where they may not have revenues.

35:37

They may have revenues but no profits.

35:40

You may not even know what the product

35:43

will be,

35:45

but if you can get in at something

35:47

called uh you know u

35:51

ground level

35:53

and they turn and one of them turns into

35:55

be a big winner, you can make an

35:57

incalculable amount of money. And I

36:00

described this in a recent memo as a

36:02

lottery ticket.

36:04

and and and so at the at the riskiest

36:07

end of the spectrum, you have lottery

36:09

behavior. And if you think about the

36:12

lottery,

36:14

most people who buy lottery tickets lose

36:16

all their money.

36:18

A few people become incredibly rich. So

36:22

that's probably the

36:25

the profile of performance at the

36:28

riskiest end of the spectrum. You can

36:30

pick where to play on the spectrum. You

36:32

can mix positions on the spectrum and

36:34

then you can decide how much should all

36:37

of these companies on the spectrum be of

36:39

your total portfolio. I guess the

36:41

problem just on that point is that it

36:44

seems that we are muddying what the

36:47

spectrum actually is and we're almost

36:49

rebranding lottery tickets as

36:52

certain safe investments. And I think

36:55

the best example would probably be

36:58

SpaceX, whose losses grew 700%

37:02

year-over-year. It's an incredibly

37:05

unprofitable business, especially the AI

37:07

business. Anthropic is also

37:10

unprofitable, though maybe we're

37:11

stunning to see, although we haven't

37:12

seen the financials if if that's

37:14

starting to change. Open AI is certainly

37:16

very unprofitable. But a lot of times

37:18

when you say this, people will say, but

37:20

the revenue is growing spectacularly. it

37:22

grew as you say like 50% month

37:24

overmonth. Crazy revenue growth and

37:26

that's sort of the justification as to

37:29

why it isn't a lottery ticket. Don't

37:31

worry about the profitability. The top

37:34

line's growing really fast. And I'm

37:36

actually not sure what to make of that

37:37

argument. Part of me wants to say no,

37:40

it's still losing a ton of money. Still

37:42

a lottery ticket. But as someone who's

37:44

looked at so many companies over the

37:45

years, I mean, what do you make of that

37:47

argument? What do you make of

37:48

subsidizing these losses to the tune of

37:51

literally hundreds of billions of

37:52

dollars? This seems like we're we're

37:54

entering a new era. Uh it seems as

37:58

though profitability isn't really a

38:01

thing anymore. At least I guess it's not

38:04

a problem and they can command these

38:06

valuations. And so I guess I ask that to

38:09

you knowing that you know you're not a

38:13

VC but you're someone who's seen so many

38:16

cycles. You've experienced investments

38:19

work and not work conceptually.

38:23

What do you make of it?

38:24

>> In the heat of the moment, in the in the

38:27

exuberance, people say things like, you

38:30

know, profits don't matter. What matters

38:33

is in the future, you know, uh we used

38:36

to value stocks on earnings. Then when

38:39

we started investing in companies with

38:41

no earnings, we talked about investing

38:43

on the basis of sales, ratio of sales.

38:46

Then when we talked about companies that

38:48

had no sales, people back in in 1999

38:51

2000, people said, "Well, what's

38:54

how much per per eyeball? How much per

38:58

click?" And people put values on on

39:00

internet stocks based on how many people

39:03

were going to their site even though

39:05

they were they were going there free.

39:07

But I believe ultimately it always comes

39:10

down to value. Ultimately at some time

39:13

in the future, profitability will

39:15

matter. And if if if you find a company

39:18

that's a great tech leader today,

39:22

but and and and it looks like it has an

39:24

unlimited technological franchise and

39:27

great expertise.

39:29

And if you tell me that 20 years from

39:31

now it still won't be making money,

39:35

my guess is that the price paid today by

39:40

an exuberant investor uh will turn out

39:43

will turn will produce disappointment.

39:46

When exuberance

39:48

is replaced by sobriety,

39:52

people say well of course profits

39:54

matter. We invest in companies which we

39:58

think will make money and their profits

40:01

will give will make money for us. So

40:04

it's silly to disregard completely the

40:08

possibility of profits. And by the way,

40:10

Warren Buffett said in connection with

40:12

the internet in I think 2000,

40:15

uh he said there's no doubt about the

40:18

fact that the internet will add to

40:20

efficiency,

40:22

but that's not the same as adding to

40:24

profitability

40:26

and that's relevant today also. You

40:29

know, uh AI is going to change the

40:32

world. I have no doubt about that.

40:36

Who will it make money for?

40:39

you know, I mean, if it's a if if if all

40:42

the hyperscalers plus the uh anthropics

40:46

and and open a eyes of the world and

40:50

Tesla uh and some of the startups, if

40:53

they all engage in battle

40:58

and compete against each other at

41:00

enormous costs, how profitable will they

41:03

be? Who will make the money? And if AI

41:07

is primarily a laborsaving device, which

41:10

I think might be an accurate

41:13

description,

41:15

who gets the benefit of the labor

41:17

savings? Maybe the customer,

41:21

the shipping company or the retail

41:24

company or the warehouse company

41:27

benefits from a price war among AI

41:30

providers such that the user adds to his

41:36

or her profits, but the purveyor of AI

41:39

services doesn't do that great. You

41:42

know, [music]

41:43

these things can't be specified. Now,

41:47

>> we'll be right back. [music] And for

41:48

even more markets content, sign up for

41:50

our newsletter at profarkets.com.

41:54

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45:36

>> We're back with Prof Markets.

45:38

>> I want to ask a question about your

45:40

business. I obviously I've been in your

45:42

business nearly as long as you, but I've

45:44

been around it. And I remember when I

45:46

first moved to New York, I was in San

45:47

Francisco in the 90s and then New York

45:49

from 2000 on I just knew a ton of people

45:52

making a great living in your business.

45:54

Now I know a small number of people

45:56

making an astronomical living and the

45:59

rest are gone. The rest it feels like

46:02

there's been just an just an incredible

46:04

consolidation in your business. Uh where

46:07

you're either you're either a Leviathan

46:09

or you're in no man's land. I would just

46:12

love to get your take on your business

46:14

as a business and how you've seen it

46:15

change and where you think it's headed.

46:17

>> How long do you have? [laughter]

46:20

>> I mean that that's that's a pretty

46:22

that's a pretty broad question.

46:23

>> Sure. First of all, you know, uh I'm I'm

46:27

pretty sure I predate you. Uh when I

46:29

attended the University of Chicago in

46:31

1968,

46:33

uh the professor pointed out that the

46:36

average mutual fund did worse than the

46:39

S&P before fees and then charged a high

46:43

fee. And so he says, why don't they just

46:46

in buy you just buy one share of each

46:49

stock in the S&P? There were no index

46:51

funds or no concept of indexation but it

46:54

came along and it it uh you know today

46:59

the majority of mutual fund equity

47:01

capital is managed by indexation or

47:03

passive investment. That's that's one

47:06

reason why a lot of people have

47:07

disappeared. The consumer was not

47:09

wellinformed and paid a high fee for for

47:12

a defective product which is not a great

47:14

business model. Uh on the other hand in

47:17

the last uh well let's say 40 years

47:20

which is a maybe it's a little more less

47:24

there have been all these innovations uh

47:26

that we had we lived 40 plus years in a

47:30

period of declining interest rates which

47:32

made a lot of things very successful and

47:35

a lot of people cashed in and and built

47:38

very very profitable businesses

47:40

investing in what are called alternative

47:43

investments uh private private equity,

47:45

private credit and things like that. And

47:47

and and they they found an environment

47:50

which was perfect for them. And uh

47:53

especially since March of09, which was

47:55

the low point of the global financial

47:57

crisis, things have been rosy for over

48:00

17 years. And so a lot of people have

48:04

made a lot of money. U this tends to get

48:07

sorted out in the bad times.

48:11

In the good times, the great investors

48:12

do great, the bad investors do good.

48:16

In the bad times, it gets sorted out.

48:19

There may be rougher times ahead for

48:21

some of these new new things in the

48:23

investment business and some of it may

48:26

get sorted out. Uh, by the way, let me

48:29

let me just uh closest to home for oak

48:31

tree um there in the last 15 years, they

48:36

developed a business called private

48:37

credit uh which is really just the the

48:40

the term it's a broader term for what we

48:44

call direct lending which is private

48:46

loans for midsize buyouts and I'm I'm

48:51

I'm informed on good authority that so

48:54

this ca this didn't exist in 2010 and

48:57

it's $1.7 trillion today and I'm told

49:02

that there are roughly 700

49:06

direct lending managers

49:09

And so the the the the availability of

49:14

that $1.7 trillion dollars put a lot of

49:16

people into business and made a lot of

49:18

people extremely successful along with a

49:22

very favorable e economy

49:25

and with low or generally low or

49:28

generally declining interest rates which

49:30

are salutary. So this has been an ideal

49:34

environment and we have 700 managers uh

49:39

making money in this industry today. Uh

49:42

what will it look like 5 or 10 years

49:44

from now? We'll find out. But I'm told

49:48

that of the 700 roughly 3%

49:51

uh were in business before the global

49:54

financial crisis.

49:56

So we don't know

49:58

how many of them are have what it takes

50:01

to deal with a harsh environment.

50:04

Making money in a salutary environment

50:07

proves almost nothing.

50:09

To make money in a salientary investment

50:11

environment, you can do it on the basis

50:13

of good judgment and hard work and skill

50:16

or you can do it on aggressiveness

50:19

and getting lucky. It doesn't get sorted

50:23

in the good times. As Buffett says, it's

50:26

only when the tide goes out that we find

50:28

out who's been swimming naked. So this

50:31

period that you describe

50:34

uh and particularly the period uh '09 to

50:38

date,

50:40

this has been salad daysian

50:43

days. And nobody should look at those 17

50:47

years and say, "Oh, that was that's a

50:49

long period. So that's probably normaly.

50:52

This was the greatest period imaginable

50:55

for the investment industry and

50:57

especially for the alternative

50:58

investment industry

51:01

and uh one day I think the tide will go

51:05

out and one day some of this will be

51:08

sorted. I I just a quick question to

51:10

wrap up here. We didn't touch on private

51:12

credit. There's a lot of fear and a lot

51:14

of concern around private credit right

51:18

now. Do you think those fears are

51:19

overblown, underblown? What what is your

51:22

view on the private credit market right

51:23

now? And I I realize that's an awfully

51:25

big market, but lot a lot it's getting a

51:28

lot of attention right now.

51:29

>> I think it's overblown. These were

51:32

managers who collected money from

51:34

clients and and gave loans for midsize

51:38

buyouts.

51:40

And some of them will

51:44

be unsuccessful but probably not a large

51:48

percentage. I mean this this activity

51:51

has been around on in under different

51:53

guises since 78 or 77. I was lucky to be

51:57

asked to start City Bank's high yo bond

51:59

activity in 78 and we've been making

52:02

loans to uh to companies of moderate

52:06

creditworthiness and and and doing well

52:09

for 48 years. Uh uh people who don't do

52:13

it as well will not have great results.

52:16

uh but most of the loans will pay

52:20

and the people who are throwing up their

52:22

hands uh uh are probably exaggerating

52:26

the difficulty and and and extrapolating

52:29

the the fears in software which are

52:33

probably overblown.

52:35

Having said that,

52:39

retail investors or individual investors

52:41

bought these products

52:44

and these are private loans. There's no

52:46

market for them. You can't get out of

52:49

them uh at the drop of a hat. And uh so

52:54

a lot of the I think most of the unease

52:56

concerning what you call private credit,

52:58

what I call direct lenty, is around the

53:00

fact that people have said, "Okay, you

53:02

know what? I'm not that happy. I'd like

53:03

to get my money back. And I

53:08

if if you went into a non-traded BDC,

53:11

which is what we call these things

53:12

you're talking about, the people said

53:15

you will we can only let out 5% of the

53:18

investors per quarter. And other people

53:20

said, "What do you mean? I put money in,

53:22

I can't get it out." Well, that was

53:24

always the terms. This, if you read the

53:26

perspectives, which admittedly very few

53:28

people do, it was there. None of this is

53:31

a surprise, but

53:34

people do things in the good times when

53:36

they're feeling no pain. Uh sometimes

53:39

without adequate care or research or

53:41

prudence, and they turn they tend to uh

53:46

regret them in the bad times. Some of

53:48

that is going on, but I don't think

53:51

there was a misrepresentation.

53:53

People should not be surprised that that

53:55

that they can't get all their money out

53:57

every quarter. And um but the one of the

54:02

most powerful forces in the investment

54:04

business is disillusionment. And people

54:06

went from uh being unwor

54:12

uh thinking that this ship is sinking

54:15

and that's very painful. The unw worried

54:18

feeling was uh mistaken and now the

54:22

feeling that the ship is hopelessly

54:24

sinking is also probably mistaken.

54:26

Howard, you've been incredibly

54:28

successful on Wall Street. You started

54:31

one of the most successful asset

54:32

management firms in the world. A lot of

54:35

young people listening to this podcast,

54:37

starting their careers, uh who want to

54:40

build economic security, who want to be

54:42

successful. What advice would you give

54:45

to those people who are just starting

54:46

out in their careers right now?

54:48

>> I've enjoyed a great career and and I

54:51

don't consider it over. Um,

54:54

investing is a fascinating field. I

54:57

mean, just think about this podcast and

54:59

think about the number of times I said,

55:01

"I don't know." Or something's

55:03

unpredictable or inestimable or

55:05

incalculable. So, what we do every day

55:08

is we peel an onion

55:11

and we deal with uncertainty

55:14

and we make judgments. We make the best

55:17

judgments we can in an uncertain world.

55:20

In his book fooled by randomness, Nasim

55:23

Taleb talked about made comparison

55:26

between investing in dentistry and he

55:28

said if if you go to dental school and

55:30

you learn how to fill a cavity and you

55:32

fill the cavity that way every time

55:34

you'll you'll be successful every time.

55:37

That's not true of investing. So if

55:39

you're the kind of person who wants to

55:40

be successful every time, don't become

55:42

an investor, become a dentist or an

55:45

engineer or something where you have

55:47

physical rules in play that are

55:50

reliable. [snorts] There are no physical

55:52

rules in investing that will make you

55:55

successful all the time.

55:57

Warren Buffett who the most successful

56:00

investor of all times uh attributes his

56:03

success to 12 investments

56:07

over the last uh 60 70 years. Now he

56:11

didn't have that many abject failures

56:13

but he but many many many investments

56:16

that he that he made were only

56:18

moderately successful. He did 12 great

56:20

ones. So do you want do you like dealing

56:24

with uncertainty and ambiguity?

56:27

Can you live with a a batting average

56:30

which was which is far from a thousand?

56:33

Uh the the only thing I would emphasize

56:37

is that investing has been enormously

56:41

profitable industry for those of us

56:43

participating in it in the last 50

56:46

years. You shouldn't become an investor

56:49

just because it's a high paid industry.

56:53

But if you

56:55

meet the description uh that I just laid

56:59

out, I think it's a great thing to do.

57:01

It's exciting. It's intellectually

57:04

challenging. Uh you you never reach a

57:07

point where you say, "Well, I got this

57:09

figured out." And I [clears throat] find

57:10

that to be a wonderful attribute. I wish

57:13

we could keep going for hours, but alas,

57:16

we cannot. Howard Marx is the co-founder

57:18

and co-chairman of Oak Tree Capital

57:20

Management. Prior to co-founder Oak

57:22

Tree, Markx led the groups at the TCW

57:24

group that were responsible for

57:25

investments in distress debt, high yield

57:27

bonds, and convertible securities. He

57:29

was also chief investment officer for

57:30

domestic fixed income at TCW.

57:33

Previously, Mox was with City Corp

57:35

investment management for 16 years.

57:37

Howard has published three books on

57:38

investing, including The Most Important

57:40

Thing: Uncommon Sense for the Thoughtful

57:42

Investor and Mastering the Market Cycle:

57:45

Getting the Odds on Your Side. Howard,

57:47

[music] we really appreciate your time.

57:49

Thank you so much.

57:50

>> Thank you, Howard.

57:51

>> Thank you, fellas, for your great

57:52

questions. [music] It's been a pleasure.

57:55

>> Thank you for listening to Prof Markets

57:57

from Prof Media. If you liked what you

57:59

heard, give us a follow and join us for

58:01

a fresh take on markets on Monday.

58:05

>> [music]

Interactive Summary

This episode features Howard Marks, co-founder of Oaktree Capital Management, discussing the challenges of investing in a market defined by AI-driven technological innovation and extreme uncertainty. Marks emphasizes that when dealing with unprecedented advancements like AI, traditional valuation metrics often fall short, pushing investors closer to the realm of speculation. He suggests that investors must calibrate their activities based on a spectrum of risk, from analytical investing in understandable companies to speculative ventures in futuristic ones. Throughout the conversation, Marks highlights the importance of maintaining a level of humility regarding one's ability to forecast the future and emphasizes the need for cautious, deliberate decision-making in an environment where historical patterns may not repeat.

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