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The Terrifying Truth About Next 5 Years in the Stock Market | Erik YWR on “Reverse Crash” Risk

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The Terrifying Truth About Next 5 Years in the Stock Market | Erik YWR on “Reverse Crash” Risk

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1724 segments

0:00

When I was in Zimbabwe, the thing that

0:02

shocked me was the guys who were long

0:04

stocks, the guys who were long real

0:06

estate, the guys who were long

0:07

businesses were absolutely seeing huge

0:10

nominal gains and the terrible thing,

0:13

the crash was upwards and the people

0:15

that got hurt were actually the people

0:17

who were not long. I'm joined once again

0:19

by veteran fund manager, investor Eric

0:23

from YWR, your weekend research. Eric,

0:26

great to see you. The last time you were

0:28

on monetary matters in the middle of

0:30

November, you said that by the end of

0:32

2017, you were looking at the S&P

0:35

10,000. Very lofty. We're a little bit

0:38

further towards your goal. The market is

0:40

up 10% since there a lot has happened.

0:44

Remind us your bull thesis and what's

0:45

your thesis right now?

0:46

>> It's still the idea that we're in an

0:49

incredible bull market that's going to

0:52

exceed all of our expectations. And um

0:55

this was an idea I started last year in

0:58

July. Um and I really wanted to put it

1:01

out there as a counterpoint to I think

1:03

this was the the origin was it was post

1:06

liberation day when we had that big

1:08

selloff in April with the tariffs and

1:10

the market had made it back kind of up

1:12

to where it was before and everyone was

1:14

like, "Oh, can we hold the gains? Is it

1:16

going to roll over when the tariffs

1:18

finally?" It was all this and I mean I'm

1:20

in a lot of chats like you, right? And

1:21

so I could just feel this everywhere I

1:25

looked it was this bearish view on the

1:27

market and it really triggered my um

1:31

imagination about something totally

1:33

different and it also went back to a

1:35

theme. I apologize for explaining all

1:37

this but I it is a kind of important

1:39

background that and a change I had to go

1:42

through was I spent some time uh in

1:45

Zimbabwe

1:47

uh as part of an Africa fund and I the

1:50

country was I saw such a weird situation

1:52

to me where the country was totally

1:54

unraveling everything was going wrong

1:57

and yet the market started to go up uh

2:00

incredibly so and at first I thought the

2:02

investors were getting it wrong they

2:03

were being delusional too hopeful and

2:06

Then what I saw in hindsight, what

2:08

started to kick in was inflation and and

2:11

the investors had seen it before and so

2:13

they were kind of anticipating what

2:15

would happen and what I saw was that it

2:18

was a country that was struggling.

2:20

Everything was there was no rise in

2:21

employment. There were no uh the

2:23

government was disappointing and the

2:26

nominal inflation was carrying stocks up

2:29

to unimaginable levels. And this has

2:32

been something I call project Zimbabwe

2:34

that I'm like we're in a higher

2:36

inflationary era and you're going to be

2:38

surprised how high the market goes. Um

2:43

even when you might not think things are

2:44

very good. So that was something I

2:45

started a while ago. But then I kind of

2:49

last year with the S&P 10,000 I kind of

2:51

layered in a lot of and one comment that

2:54

was going around a lot was we're almost

2:56

at 1999 levels and like that was I kept

3:00

hearing that like you know the S&P is at

3:02

over 20 times earnings and like it's

3:04

almost like 1999 and I was thinking okay

3:08

first of all who says like I was around

3:11

in 1999 and traded I remember I was in

3:13

San Francisco in fact and lived the

3:16

whole And I was like, "Okay, but who's

3:19

to say in the history of stock markets,

3:21

we can't have an even bigger bubble than

3:24

1999?" Just to say, you know, who says

3:26

that's going to be the biggest bubble

3:27

ever? We had the internet was kind of

3:29

interesting, right? Connecting computers

3:32

at the time, right? But maybe we have

3:33

kind of a revolutionary technology now,

3:36

like maybe this is even bigger than the

3:38

internet. And the other thing was I'm

3:40

like, where is this thing around 20

3:43

times? like what why is that a limit for

3:48

a PE? Why is that the right PE? And

3:50

really it's a rule of it's kind of a

3:51

shortcut rule of thumb that people use.

3:53

And I was one of the things that I

3:54

talked about in my note, Jack, is that

3:57

um earnings are actually accelerating.

3:59

The earnings growth of the S&P

4:03

going back from 2000, the last 25 years

4:05

has averaged 8% a year. Nominal. We're

4:09

doing like 12 to 15 now. So, I'm like,

4:13

if there was ever a time to rerate to a

4:17

higher multiple of maybe 25 or 30 times,

4:21

um, you could kind of justify that now.

4:23

And, and I think another thing to bring

4:25

in here that's part of that is that I'm

4:29

really amazed at the bonds and that we

4:33

have, you know, almost 3% GDP growth. We

4:37

have very low unemployment. We have the

4:39

stock market on a meltup. We have 4%

4:42

inflation and the 10-year bonds at 4 and

4:46

a.5%. That's like almost no real yield.

4:50

And and I'm like, look, if you're going

4:54

to if those are my two choices, the S&P

4:58

growing at, you know, 15% a year and or

5:02

a 4 and a.5% tenure with inflation at

5:04

four, that is a massively positive thing

5:09

for the S&P. And you know, just going

5:13

back to your like Wharton MBA stuff, you

5:15

know, the um you know, what's the fair

5:19

multiple for in a in a DCF or or Gordon

5:23

growth model and what you put on the

5:25

top? I'll debate people want to use free

5:27

cash flow or the EPS or whatever. I'm

5:29

just going to use the EPS.

5:31

You know, the the denominator is always

5:33

R minus G, which is your cost of capital

5:37

minus your growth rate. And most people

5:39

put like eight or nine as my cost of

5:41

capital, what I want to earn, and the

5:43

growth rate is three. And I'm like,

5:45

well, okay, what if the growth rates

5:50

15 or or eight or nine? It's you. Um, so

5:55

what you get is very funny numbers. you

5:56

you when you have a low low interest

6:00

rates like four and a half% tenyear but

6:04

very high nominal growth on an index you

6:08

can justify and I know like that's where

6:10

I leave the kind of Wharton MBA to like

6:13

just us being practical investors but

6:15

mathematically and this is something

6:18

people really struggle with and is

6:20

compound growth over long periods of

6:22

time and

6:24

it at the very least

6:26

you know, could could justify um 25

6:29

times on the S&P. And I know people will

6:31

go, "Oh, but how do you know that E is

6:34

going to not crash next year and so blah

6:37

blah, you know, this and that?"

6:39

And you don't, but um but I just say on

6:43

the side part of that, the economy is

6:45

very strong. I have a I have an extra

6:47

view I think people don't appreciate on

6:49

that but um just generally you have

6:52

economy firing pretty much on all

6:55

cylinders companies spending money

6:58

government spending money interest rates

7:00

extremely well behaved surprisingly

7:03

um earnings growing at an accelerating

7:05

rate um and I just think we haven't seen

7:10

I haven't seen like a lot of euphoria

7:14

you know I I see kind of investors kind

7:18

of positive and and kind of naturally in

7:20

involved. I I most fund managers I speak

7:24

to are relatively skeptical and careful

7:26

about malinvestment in AI and whether

7:30

this is going to continue and they're

7:31

bearish on the consumer because he's

7:33

going to lose every kind of if you think

7:35

about it Jack I I don't know many

7:37

sectors that invest they're a little bit

7:39

kind of positive on maybe like some of

7:41

the data center supply chain like uh you

7:44

know GE Venova optical connectors or

7:48

kind of parts of it and chips They're

7:51

kind of I mean but memory like they're

7:53

bullish on right but then it's like the

7:54

PE is 10 times because they're not sure

7:57

how long the memory cycle is going to

7:58

last because then it could we don't they

8:00

don't generally like memory stocks.

8:01

They're not going to put a high multiple

8:02

on memory stocks. They're not sure about

8:04

the hyperscalers because are they ever

8:06

going to get paid back on this uh capex

8:09

that they've put in. Software is going

8:11

to get disrupted. The consumer is going

8:14

to lose his job to AI. The housing

8:16

market isn't going to work. the no one

8:18

wants to own car. I mean, energy is not

8:22

even going to work even if you know the

8:23

straight of Hermoose is closed. And so,

8:26

it's I don't want to say it's bearish

8:29

because the S&P is still at 22 times,

8:31

but I don't see a lot of um

8:36

carried away euphoria or bullishness or

8:39

positive despite kind of amazing

8:41

earnings growth um and a very good setup

8:45

here for the market. So, um, I'm kind of

8:48

like I I'm trying to give a counterpoint

8:51

to what I often feel is a quite bearish

8:54

community out there. And I'm like, I

8:57

know I'm at the at the risk of be

8:59

looking like an idiot. I'm like, let's

9:02

use our imagination of like how this

9:04

could go much higher than we expected.

9:06

And last year when it when we when it

9:07

came out with it was like, you know, I

9:09

was like 10,000. It's 50% above where we

9:12

are. How about that? you know,

9:13

>> and yeah, I think you opened me up to an

9:16

argument last time we talked where you

9:18

said if AI is bigger than the dot and

9:23

the the internet, then the bubble should

9:25

be bigger and the you know the the PE

9:28

for Microsoft was like 70 and so then

9:31

for therefore the PE for Nvidia should

9:33

be 100 at the peak of course and you

9:35

know if Nvidia is going to make two

9:37

or$300 billion that would be a market

9:39

cap of like 20 or 30 trillion on Nvidia.

9:41

Now, I'm not saying that's going to

9:42

happen, but I think that people both

9:44

should think of that right tail risk as

9:46

well as the the left tail risk of this

9:48

evaporates to nothing and we have a you

9:50

know an 80% crash that's very violent.

9:52

>> Yeah. um just to the parts companies

9:55

like the you know the micron or memory

9:59

you remember Cisco was 50 times I think

10:01

JDS unifase was a hundred times um that

10:05

that earning screen most of those things

10:07

are a lot of those like kios a lot of

10:09

this memory stuff is like six times or

10:12

eight times and I'm like may I'm like I

10:15

don't know maybe it's an earnings bubble

10:17

but it's definitely not a valuation

10:18

bubble um

10:19

>> definitely not a valuation bubble I feel

10:21

like for for memory it's gotten so

10:22

extreme

10:23

that many people view it as

10:25

unsustainable where you if Apple has to

10:28

raise the prices by several hundred

10:31

because memory prices are so high, you

10:33

know, memory prices should should go

10:36

down. I don't know if they will anytime

10:38

soon. I think I think they're going to

10:40

keep on going up for for this year. Um,

10:43

>> one one other point I would make for

10:44

everyone is

10:47

and I'm careful with this but just I

10:48

want to provide an alternative

10:50

perspective. If you say look we're in an

10:55

inflationary environment and I've

10:56

studied inflation over the histories and

10:58

I know what happens during these periods

11:01

one of the things that happen are people

11:02

speculate

11:04

because the money is losing value

11:06

quickly and so there's a na this is what

11:08

happens so in that if you kind of look

11:11

at it and you go wow we're in a period

11:14

of we're not even high we're at 4%

11:16

inflation right it's not it's not even

11:17

that high like maybe we're going to

11:19

eight or something right but Like if

11:21

you're almost like give this checkbook

11:22

of like, okay, what would I expect to

11:25

happen if this is all playing out like

11:28

Eric says or whatever, I would expect

11:30

the S&P to go up a lot. I would expect

11:34

nominal earnings to be going up. I would

11:37

expect people I would expect to see

11:39

rampant speculation across the land. I

11:42

would expected to see, you know, uh

11:44

brokerages like Hood doing well. I would

11:47

expect to see people trading like all

11:49

these instead of like seeing them as

11:51

warning signs and like reasons to not

11:53

participate. You could almost see them

11:55

as checklists that were like this whole

11:58

scene is unfolding. So I kind of I'm I'm

12:01

careful about it. Like I do see Koreans,

12:03

you know, on margin and Taiwan and and

12:06

um I I go okay yeah that's care I'm

12:10

careful about it but on the other hand

12:12

is it just kind of naturally what is

12:13

going to happen? And I'm like, even if

12:15

they're on wire, they're speculating

12:17

their brains out and Samsung's still at

12:19

seven times earnings. I'm like, I don't

12:21

know. Maybe they're just that's actually

12:23

smart, you know? I mean, if maybe if

12:26

your biggest company is the leading one

12:28

of the leading memory providers, leading

12:30

technology companies in the world, it's

12:31

on seven times earnings, you should

12:33

borrow your brains out to buy it. I

12:35

don't know. Um maybe that's

12:37

>> and maybe and maybe people say, "Oh my

12:38

god, the concentration risk in Korea is

12:40

so huge as a negative." The positive

12:42

framing is you want your index to be to

12:46

be extremely concentrated in the

12:47

industries that are that are doing well.

12:49

>> The index is exposed to the like one of

12:52

the most important trends in the world

12:53

and it just went up 100%. I can and it's

12:56

still um and the earnings are going up

12:58

faster than the index. Um, so I'm just I

13:01

just put that piece on, you know, when

13:04

you see people trading to just maybe

13:08

rather than seeing it as a warning sign,

13:11

it's actually a symptom of a diff of a

13:13

bigger thing. Um, and so

13:17

I I think that the 1999 was more of a

13:21

cyclical thing. It kind of went up

13:22

quickly and ended quickly. I think this

13:25

may be like a bigger a bigger trend and

13:28

that may be why it's not rerating. You

13:30

know, the S&P kind of just ripped up to

13:32

50 times and then crashed right down.

13:34

This might be a slower burn because

13:36

we're all being careful about it.

13:37

Another thing with the IPOs, like I I

13:39

go, you know, people go, "Oh, SpaceX,

13:42

like that's so concerning." And I go,

13:45

"Yeah, but you should have some hot IPOs

13:47

in a bull market." But then the thing

13:48

that's different,

13:50

the the PE and the VC firms are holding

13:53

on to these things way longer, right? So

13:55

we're getting trillion dollar IPOs and

13:57

I'm like, so they don't really pop like

13:59

the ones did back in 99. So I just I

14:02

just go maybe this isn't going to have

14:05

the ferocity and the euphoria and the

14:08

juice of 1999,

14:11

but maybe the positive is it plays out

14:13

longer because, you know, it just keeps

14:16

going. And and I look at my numbers on

14:17

the S&P 10,000. That could be quite

14:19

conservative actually. You know, I'm now

14:22

I'm like lowering the PE to get there.

14:24

I'm like the earnings have come in way

14:26

better than I expected when I made that

14:28

call last year. I thought I was going to

14:30

have to put a 30 times multiple on it to

14:32

get there. Now it's like 25 because this

14:35

then earnings are, you know, another 50

14:37

bucks higher than I expected. So,

14:39

>> are you willing to raise your call to to

14:41

11 or 12,000?

14:42

>> Yeah. I mean, that's what I was kind of

14:44

I did the did the math in the note and

14:46

I'm like, you know, I could could make

14:49

it a little higher, but let's get to

14:50

10,000 and and, you know, just stick

14:52

with that for now.

14:55

>> Yeah. A key point you're making is just

14:57

that the earnings boom in the S&P 500 is

15:00

massive. So expected earnings for

15:03

calendar year 2026 are probably going to

15:06

be around like $340 a share for the S&P

15:11

and that would be around a 25 or 26%

15:14

growth rate from the preceding year. And

15:16

then there's like another 20% of growth

15:19

that is forecasted for 2026 from 2027.

15:22

Eric, some a small percentage of that

15:25

profit but a meaningful small but

15:27

meaningful is the hyperscalers booking

15:30

profits from VC g investments they made.

15:33

So they invested in OpenAI and Anthropic

15:35

and they recognized gains now that the

15:38

valuation has gone up so much. And I'm

15:40

not saying that that's a fake earnings

15:41

or or anything like that. But it does

15:43

make sense to not count that as a

15:45

multiple. Like you can't expect, you

15:47

know, oh anthropics is going to go to 20

15:49

trillion valuation and therefore you

15:51

can, you know, rely on this as recurring

15:53

revenue. Like I don't I don't think, you

15:54

know, we should be doing that. How do

15:57

you feel about the quality of the

15:59

earnings in the S&P 500 given that some

16:02

of it is these markups from VC gains?

16:04

Some of it is hyperscalers, you know,

16:06

make realizing the gains from their

16:08

investments or the revenues growing but

16:10

not seeing the depreciation yet. And

16:12

that, you know, there's going to be a

16:13

depreciation bomb over the next five

16:15

years. Like that's just a fact. And then

16:17

also the fact that a large percentage of

16:20

the earnings growth has been in one

16:21

industry, semiconductors, an industry

16:23

that I love to be clear, but it is, you

16:25

know, increasingly somewhat of a of a

16:28

one-way bet on AI and semis in the S&P

16:30

500.

16:30

>> Do you think I don't think that booking

16:33

gains on Open AI would be a big part of

16:38

or in the 2027 forecasted earnings

16:41

before the IPO?

16:42

>> Not 2027, but 2026. Yes.

16:44

>> Okay. Um,

16:46

>> they did book very large gains in the

16:48

past quarter.

16:48

>> Okay.

16:49

>> I don't I I'm going to have to do the

16:51

numbers. I'd be surprised if that's like

16:52

a meaningful part of the of the S&P 500

16:55

earnings, but it could be.

16:57

>> I was going to say less than 10% of the

16:59

S&P stated uh earnings growth was from

17:03

this the gains booked from private

17:05

companies. According to Gemini, it's

17:07

9.5% 9.49%.

17:09

>> 9.5% are from that. Okay.

17:12

earnings growth of the earnings growth

17:14

for calendar year.

17:15

>> Okay.

17:15

>> Yes. So, I'm not saying it's some some

17:17

lion's number, but if you're saying, oh,

17:19

earnings went from 12% to 25%, you know,

17:22

I some percentage of that is is a a

17:25

little bit of a gain, but I am I am

17:26

nitpicking a little bit. Like, I don't

17:28

deny that the the operating earnings and

17:30

the operating income growth from the

17:32

cloud providers has been has been

17:33

dominant.

17:34

>> So, there's a there's maybe a trade-off

17:36

or a or a concern is semiconductor

17:39

earnings have been phenomenal. What

17:40

happens if that tails off? Um, does that

17:43

kind of like does the S&P start earnings

17:46

start to even decline? Maybe if you know

17:48

if because that's kind of capex, right?

17:50

That's not to some degree that's like

17:52

oneoff spend in a data center and it

17:55

should it could actually decline quite

17:58

meaningful if the spending stopped. Um,

18:01

one thing I'm seeing on the other side

18:03

though is cloud revenues are ramping

18:07

quite a lot and I know we're kind of

18:11

dinging the hyperscalers right now

18:13

because they're spending almost all of

18:15

their cash flow on on data centers which

18:19

are yet to be completed. But when you

18:23

just look at the earnings of these

18:25

companies like the the cloud revenues

18:28

are stepping up quite meaningfully. I

18:30

mean like as they would ex as you would

18:32

expect. They're like, "Oh, there's this

18:34

thing called AI. Our customers are all

18:36

using it. They're using a lot more every

18:37

month and we're building these data

18:39

centers because we don't have enough

18:41

capacity for it." And so every quarter

18:43

they're coming out with cloud growth.

18:45

Cloud cloud earnings were cloud revenues

18:48

were growing in the 15% range. They're

18:50

now in the over 25% uh keer. I think one

18:53

thing we're underestimating is that the

18:55

hyperscaler revenues are going to be

18:56

growing as all this cloud business comes

18:59

online um that they spending hundreds of

19:01

billions of dollars to earn right now.

19:04

So that's part of it. One thing

19:05

interesting for 2027 is earnings for

19:08

energy the energy sector expected to be

19:10

negative

19:11

>> earnings growth. Yeah.

19:12

>> Yeah. like 2026 was great, but 2027 will

19:16

be a ne will be negative year-over-year

19:17

because the oil price will be lower and

19:19

they benefited from the first half of

19:22

2026 being high. So, depending on where

19:24

you think with the oil price goes, I

19:26

think it could go higher still. Um, that

19:28

that's a little bit of a cushion or a

19:30

something in your back pocket that

19:32

energy could surprise positively. I

19:34

think I figured out I think I was trying

19:36

to calculate that X technology the

19:40

implied growth for the S&P was 7%. That

19:44

you had 40% of the market that they

19:46

thought was going to grow 30% and that

19:48

so it implied that the rest of it was

19:50

seven to come up with a I think a 15%

19:53

estimated growth for next year. So um

19:56

the big piece is technology. If that um

19:59

maybe that disappoints but on the other

20:01

hand the other part of it seemed you

20:02

know real estate, financial services,

20:05

energy all seemed very quite

20:07

conservative the um the outlook for

20:09

those sectors. I got two more points.

20:11

One on the data centers

20:14

um just kind of interesting like I'm not

20:16

saying this is good but just to get us

20:20

to where we need to want to get to which

20:22

is 10,000 and keep it going. Um I was I

20:25

like to track Blue Owl, right? The um

20:27

the private credit firm and they had

20:31

record, you know, despite all the news

20:33

about Blue Owl, their stock price

20:35

crashing and redemptions, they had a

20:37

record first quarter for inflows,

20:40

institutional inflows into private

20:42

credit. And I I imagine that to an

20:46

instit I mean if you're saying you're

20:47

going to build a data center and lease

20:49

it out to Meta or Microsoft or Amazon

20:52

and I don't know if they're getting 9%

20:54

for that or whatever I can imagine that

20:56

being attractive to an institution and

20:58

and so whatever whatever the reason is

21:02

what I just like to see is that private

21:04

credit industry is getting a lot of

21:07

inflows

21:08

and fueling the boom so to speak.

21:12

Another thing I'd kind of noticed is I I

21:14

like to cover banks globally. I was

21:16

looking at the Mitsubishi Bank in Japan

21:19

and they were touting their um

21:21

partnership with Morgan Stanley and how

21:23

Morgan Stanley was originating um I

21:26

think it was Coreweave debt and that

21:28

they had then syndicated it out to their

21:31

customers in Japan. It was an example of

21:33

this great relationship and I was like

21:35

you know think Jack thinking back to all

21:37

the great bubbles that Japanese banks

21:39

have been involved in and I'm like

21:41

there's more like great you know

21:44

Japanese banks can absorb so much debt

21:47

they haven't lent for 10 years and so

21:49

anyways there are um this gets to

21:52

another point that I just um I think is

21:56

underestimated about the economy

21:59

um and kind of why I feel more positive

22:02

than on the economy than I think my a

22:04

lot of my peers do is banks post GFC

22:10

were really in the doghouse especially

22:13

the European banks. Um it was like you

22:15

know you remember don't ever do that

22:17

again.

22:18

>> Sorry to interrupt you. So Eric, you've

22:20

had a monster call on European banks and

22:23

Japanese banks and your point that they

22:26

are underlevered and overly conservative

22:28

and as a result there was tons of

22:30

earnings per share to return to

22:32

shareholders. You you nailed it. But I

22:33

just want to stick in so you you

22:35

basically agree with me that it is a you

22:37

know the S&P has a very concentrated bet

22:39

in it on AI.

22:41

>> Yes.

22:41

>> To be a bull on the long this trade of

22:44

AI long term. Do you need to believe

22:47

that artificial general intelligence is

22:50

going to be reached and have these

22:51

massive productivity booms? Like can you

22:53

still be bullish if that doesn't happen?

22:55

>> If it doesn't have a product

22:56

productivity boom. Um

22:58

>> yeah. Like if if you know the companies

23:00

that are employing and spending so much

23:02

on anthropic right now in six months

23:04

they say hey we're getting some return

23:06

on investment but it's nowhere near what

23:08

we're spending so we're going to scale

23:09

back.

23:10

>> Yeah

23:11

I read some of those things too. Um,

23:16

I think there's gonna

23:18

It's too good. I mean, Jack, you're

23:20

probably using it like I am. I I'm

23:21

amazed at how good it is.

23:23

>> I was just using it five minutes ago to

23:24

look something up while you were

23:25

talking. I was listening, but yeah.

23:26

>> Yeah, I'm I'm using it more and more.

23:29

Um, I can understand companies being

23:32

careful about their budgets and

23:34

questioning them and whether what

23:35

they're getting out of it. But broad

23:37

strokes I think it's I'm increasingly

23:41

amazed about it using it more. Um I even

23:46

you know have clients and people I work

23:49

with and and you know just that I I I

23:52

know quite a lot of people in the large

23:53

asset management industry and it's

23:55

barely being used other than them on

23:57

their laptop but it's not broadly you

24:01

know infused into the entire

24:03

organization. I think we're very they're

24:05

very careful mostly organizations are

24:07

quite careful about uh cyber security.

24:09

So there's been this kind of blocking

24:10

about how much data can we give the AI

24:13

and financial services and I just think

24:15

there's there's a long way to go for um

24:19

use of AI. I I'm gonna use another crazy

24:22

uh thought, Jack, and um I kind of

24:26

because and I I look at uh all the semi

24:29

the semiconductor supply chain stocks in

24:31

Taiwan and South Korea going through the

24:33

roof and the earnings are incredible,

24:36

but the multiples are quite low because

24:38

everyone no one knows like how far are

24:40

we going with this, right?

24:41

>> And two two analogies.

24:44

I remember in 2004 I was on a at a hedge

24:49

fund and we were my guy next to me was

24:51

the mining analyst and we were long iron

24:53

or stocks and in two and China had had

24:56

like two positive year two 8% growth

24:58

years. China was starting to grow at 8%

25:00

which it hadn't before and every year we

25:02

thought China was a bubble and I was

25:05

like and and we weren't sure if iron ore

25:07

would have another good year and I'm

25:09

like imagine if you could come back like

25:11

in your time machine from 2025 or 26 and

25:14

go back to 2004 and tell someone this is

25:18

not a bubble this is a whole new trend

25:20

China is going to grow at 8% for the

25:22

next 20 years so like stop worrying

25:25

about it every six months and I kind

25:27

>> it eventually was a bubble You want you

25:29

wanted to sell in five maybe 10 years

25:31

when the price of iron collapsed and

25:33

China turned out to be a real estate but

25:35

for many years yes you wanted to remain

25:37

very long for sure

25:38

>> and I go I kind of want to go back like

25:41

>> should we be sort of someone from 2035

25:44

be coming back to us now and going guys

25:47

this is like the biggest trend and you

25:49

are so it's funny how you're like fading

25:52

it and and it's like two or three years

25:54

in and you're already worried it's going

25:56

to fall over. You know the Transformers

25:59

movie, right?

26:01

>> Well, you remember how Cybertron looks

26:02

like with all the electronics and and

26:04

the robot? I mean, we have AI, we have

26:07

AI, we have data centers coming right on

26:10

really soon is going to be robots. You

26:12

know, you go to China and they've

26:13

already the robotic piece is going to be

26:15

coming in layered on top of this pretty

26:18

soon. And I'm like, what if we're

26:20

effectively building Cybertron? We're

26:22

building AI. We're building data

26:24

centers. We're building robots. And

26:26

you're like, if you think of that, all

26:28

those computer peripheral stocks, all

26:31

the chips, laminate boards, you know,

26:34

electric server motors, um, batteries,

26:36

EV battery, all that stuff that's

26:38

booming in Taiwan, South Korea, China,

26:42

if you had this kind of bigger

26:44

perspective of a society that was much

26:46

more robotic, had infused with AI

26:49

everywhere, kind of like Cybertron, just

26:51

to imagine it. I'm like that if you're

26:53

if someone from the future said look you

26:55

are building out an AI economy a robotic

26:58

economy all this hardware stuff that is

27:00

booming is going to continue it's the

27:03

most important trend of the next 20

27:05

years and it's going to continue to boom

27:07

um and I just I only say that because I

27:10

try in my head to go what is the counter

27:13

to the fact that a lot of this memory

27:15

stuff a lot of these component stocks

27:17

are at quite low multiples because we

27:19

just don't trust how far this is going.

27:22

We're just kind of waiting for the whole

27:24

capex to kind of flop over that, oh, the

27:27

hyperscalers overdid it. They spent $800

27:30

billion. It turned out to be like, you

27:33

know, a malinvestment. They never got

27:34

their money back. The whole thing

27:36

crashed and the S&P went down 40%.

27:38

That's what we're all flinching and

27:40

waiting for. And I'm just trying to

27:42

like, how could that be like China in

27:44

200? Like, is is this actually like a

27:46

20-year trend or something? Um, and is

27:49

it like a whole different economy we're

27:51

going towards that's going to look very

27:52

different? Um, and I apologize, but but

27:55

you don't have to put a much imagination

27:57

on it because the multiples are so low.

27:59

Um, so anyways, yeah, it's um that's

28:02

where my that's where

28:06

and that's the difficulty with what we

28:07

have right now. We have like eight, you

28:09

know, is it eight six or eight $600

28:10

billion a year in capex on data centers

28:13

and does it go to 800 or

28:15

>> I think it's headed to a trillion. I

28:16

think I I think it's head to trillion in

28:18

few years or maybe you know one to two

28:21

years.

28:22

>> What are the risks that it stops like if

28:24

in two years Eric you know I have by the

28:26

way I I don't want to have you on just

28:28

when the market's up. I want to have you

28:29

know when the market's down as well and

28:30

I can say Eric what you what happened

28:32

why was the bull thesis wrong and the

28:36

capex stopped. What

28:39

>> is happened that made that happen in

28:41

that in that scenario and how do you

28:43

assess the odds of that? I mean, you

28:44

could say something like, um, look, they

28:48

built amazingly large data centers, you

28:51

know, five gigawatt data centers, and

28:53

they

28:54

maybe got a few years, they, you know,

28:57

were planning for some real growth, and

28:59

it came in, it grew, but it just they

29:01

got a little ahead of it themselves, and

29:03

they could be sitting there in 2027

29:05

going, you know what, we're pretty good.

29:07

We don't need to have another 5 gawatt.

29:10

We're kind of good for a few years. And

29:12

if you had the second derivative of data

29:14

center capex go you know 400 billion 600

29:18

billion 800 billion a trillion back to

29:21

750

29:23

and some questioning where you know

29:26

whole whole hardware space would um you

29:29

know you wouldn't be trading 40 times on

29:31

connector a lot of that stuff I find it

29:34

concerning you're putting very high

29:36

multiples on certain subsectors very

29:39

high multiples on what is a highly

29:41

cyclical

29:42

capex good that's kind of like a one

29:45

time you're invest you're putting a very

29:47

high multiple on what is basically the

29:48

front end of the investment um and so if

29:53

you kind of have a second derivative and

29:55

the guy who's your customer saying well

29:57

thanks I built my data centers I

30:00

anticipated a huge ramp up in supply or

30:02

in demand and I'm prepared for it and I

30:05

accurately predicted it and I'm good and

30:07

I don't need to build another one and

30:09

I'm now going to milk the profits

30:10

because they're coming in and all the,

30:12

you know, cloud subscriptions are coming

30:13

in and that's very nice. I don't need

30:15

another I had it was a it was like a a

30:18

ramp a big catch-up boom. I mean it's

30:22

what is catching the market out is how

30:26

quickly these guys ramped up capex. I

30:28

mean they went from 200 billion to like

30:30

600 800 like that and it was and that I

30:35

think and look look at the

30:36

semiconductors this year. That was what

30:39

shocked everyone. And it shocked me at

30:40

least is the fullear numbers came out

30:42

from Amazon and Google and everyone

30:45

thought they would the number would be

30:47

the net capex for 2026 would be down or

30:50

flat or something after the instead they

30:52

went higher. Everyone went, "Oh my god,

30:55

you're,

30:56

>> you know, it's even double or so." And

30:58

and that's when the semiconductor trade

31:01

went mental because they were like, "Oh

31:02

wow, these hyperscalers are not backing

31:05

off. They're actually accelerating the

31:07

bet." And

31:09

I don't know to their credit or not,

31:11

right? But like the Larry Ellisons of

31:15

the world and Mark Zuckerbergs,

31:18

they have

31:20

seen big trends like mobile play out. Uh

31:24

Larry Ellison with this the internet and

31:26

data. I think to there you can fade them

31:30

or not but I think they have a feel when

31:33

something is very big and catching on

31:36

and that they have seen trends play out

31:38

in their industries that in their

31:39

companies that they went bigger than

31:41

they ever expected

31:43

and I think they're very don't want they

31:47

they can see that over time you do not

31:50

want to get left behind on these things

31:52

and and that is their own business

31:54

experience of having lived through these

31:56

things and been on the right side of

31:58

them and said, "Wow, I never could have

32:00

expected what Instagram would would

32:03

happen to Instagram or Facebook or

32:05

Microsoft, any of these things, they're

32:07

like, "Wow, this is as big as those

32:10

things in my past." And I never regret

32:12

the $26 billion I spent on Instagram,

32:14

right? And

32:15

>> yeah,

32:16

>> I think they're So, but we look at it

32:18

and we go, "Oh my god, these guys, you

32:19

don't have the numbers to back this up.

32:21

Where's the spreadsheet that tells, you

32:23

know, how do you know?" And and I think

32:25

that's what the market's critical of

32:26

them. They're like they can't they're

32:28

putting a huge bet down very early in

32:31

the game very quickly and it looks you

32:34

know that's why you get all these

32:35

questions around malinvestment and um I

32:38

I agree there's not a lot of data yet to

32:42

there's a lot of revenues that got to

32:43

come through. I just do sometimes give

32:46

them credit and go look these guys are a

32:47

lot richer than us. I have naysayed them

32:50

on many things and been totally wrong

32:54

which is why you know I don't I'm not

32:56

his Silicon Valley you know

32:58

multi-billionaire so I do give them some

33:02

credit that they've lived through

33:04

they've seen how these things play out

33:07

and they have a sense of it and they're

33:09

they are all getting the tingle wow this

33:12

is big I need to be on it the revenue

33:14

model the business model for m Microsoft

33:16

and Google and Amazon is actually pretty

33:18

simple it's we're going to spend a bunch

33:20

on data centers and then our revenue is

33:22

going to come from selling and leasing

33:24

that compute out to the AI companies who

33:26

are going to buy it from us. A comp even

33:28

for Oracle that's true but for a company

33:29

like Meta I really don't understand

33:32

their AI strategy and I think that if

33:34

these glasses these Meta glasses are a

33:37

flop I have some severe concerns about

33:40

about Meta like what how are they how

33:42

are they going to make money? I think

33:43

they're partly considering that um this

33:47

is the new iPhone, right? That this is

33:50

the new interface will be the glasses

33:52

that the phone that the glasses can be

33:54

like the smart AI involved in your life

33:56

and it will could even supersede the

33:59

phone. And um

34:02

yeah, the other thing with Meta um I

34:06

don't it's not you or I but a lot of

34:08

people use Meta for their businesses in

34:11

in the you know kind of smaller

34:13

businesses and I'm kind of interested

34:15

that if you could get your AI if you

34:18

could get the AI kind of inserted into

34:20

people's business and it was kind of

34:21

like their business consultant and I

34:24

don't know I was just I was kind of like

34:26

trying to think how

34:28

maybe that could be a quite a valuable

34:30

um relationship and and I have you know

34:34

I I remember when we never figured out I

34:36

remember when Facebook IPOed

34:39

um did it even have revenues or very

34:42

little right

34:42

>> yeah they had they had uh five five

34:45

billion in revenue or I guess three yeah

34:47

3.7 in revenue when they they IPOed the

34:50

point that you're making which is that

34:51

there's been tons of bare cases and from

34:53

the naysayers and they've all been

34:54

wrong. I I do accept that point.

34:56

>> Yeah. So I mean we don't have to imagine

34:59

much. I mean just the kind of

35:03

the my base case or kind of where I'm

35:06

started with this is like look when you

35:09

have higher inflation what when when I

35:12

was in Zimbabwe going back to that the

35:15

thing that shocked me was I was like wow

35:18

things are not going very well here lots

35:20

of people don't have jobs. The guy that

35:23

is getting left behind is the person

35:25

who's only earning their income. That we

35:28

had like 25 30% inflation and they'd be

35:30

fighting for a 15% wage increase and the

35:34

guy their boss would argue with them

35:36

maybe they'd get 10 or 11. Meanwhile,

35:38

the guys who are long stocks, the guys

35:40

who are long real estate, the guys who

35:42

are long businesses were absolutely

35:44

seeing huge nominal gains. And the

35:47

terrible thing, the the crash was

35:50

upwards and the people that got hurt

35:53

were actually the people who were not

35:54

long. And so, yes, we're always worried

35:58

about whether the market's going to go

35:59

down 20% and this and that. And I'm

36:02

super respectful of this and I'm say all

36:04

this very carefully, but there is a

36:07

longer term crash quite con consistently

36:11

that nominal assets go higher. And what

36:15

hurts? It's a it's a slower problem, but

36:18

it's a the other crash is when you're

36:21

not exposed to the asset prices going up

36:24

and your um the cost of living around

36:27

you is going higher and you're not

36:28

keeping pace. And so that is the that is

36:31

the crash I feel is not articulated that

36:35

well in our community. I mean just as a

36:38

weird thing Jack we always talk about um

36:41

the big short right and we love the

36:43

movie and we idolize all the guys who

36:46

called the big short right Burbank uh

36:49

Michael Bur whatever right?

36:52

How many of those guys and we laugh at

36:54

all the people that didn't see it coming

36:56

right? How many of the people that

36:58

called the big short are still managing

37:00

money today? I don't think John Paul

37:04

said right. I don't think any of them

37:06

are. That all the idiots who just rode

37:09

the car off the cliff, they're probably

37:12

running three times as much now as they

37:14

were in 2007. And I look at it and I go,

37:17

is the longer the short story is, oh my

37:20

god, they missed it. They were too

37:21

bullish. The market went down and blah

37:24

blah blah. But is the 20-year story of

37:28

the movie? Wow. Actually, if you'd done

37:30

nothing and you just rode it through and

37:32

it was unpleasant 18 months or two

37:34

years, you're now back above and make

37:37

managing more money than ever. And the

37:38

S&P is on its way to 10,000. You know,

37:42

that it could be that's the story that

37:44

no one tells, right? I'm like

37:47

>> and I and that's just my you know it's a

37:49

very exciting short case

37:52

>> but I just longer term

37:55

>> is the lesson longer term yes you can

37:57

have these very unpleasant unwindings

38:00

and they're very scary but generally

38:02

these are nominal and this is a these

38:04

are nominal assets that generally repric

38:06

upwards I don't think you can find a

38:08

stock market in the world take your

38:10

Bloomberg show me a nominal stock market

38:14

in local currency

38:15

where the chart doesn't go up and to the

38:17

right. Turkey, Argentina, Venezuela,

38:21

Brazil, Japan, whatever country in the

38:25

world, if that's a stock market and it's

38:27

priced in some paper currency, go back.

38:30

There could be a 10-year period where it

38:32

goes flat or does something. But just

38:34

every single chart will go up and to the

38:36

right. And that is just not like people

38:40

being bullish. That's just nominal

38:42

inflation. That's just the

38:43

>> China China has some issues with this

38:45

chart going up and

38:46

>> yes it's gone sideways but it will go

38:49

that one will go higher too over time

38:51

>> probably. So, so if you are a believer

38:54

in AI and the semiconductor trade that

38:57

is attached to AI, why not just just do

39:01

that trade? You know, you've got some

39:02

great articles and and bull thesis on

39:04

many different businesses, the exchanges

39:06

like CME and ICE or the European banks,

39:10

a trade that works has worked out

39:11

phenomenally well for you. The Japanese

39:13

banks, many other companies, but why not

39:15

just be 100% in in semiconductors?

39:18

>> Yeah. Um,

39:20

I guess I'm a bit more diversified. But

39:21

I'm kind of long everything. I do have a

39:23

good chunk of my um personal portfolio

39:26

in the NASDAQ and I've been over time

39:29

doing less S&P and more NASDAQ because I

39:32

just I looked at it over decades and I'm

39:34

like the NASDAQ consistently outperforms

39:38

the S&P by like two or 3% on average.

39:42

I'm like I've I know I'm like an idiot

39:44

and I could be the guy, you know, I

39:45

started doing this a few years ago, but

39:47

I'm like, yeah, you always feel like

39:48

you're the guy who bought the top, but I

39:51

have Yes, I have switching more to

39:53

NASDAQ. But for the rest of my

39:54

portfolio, I like to be diversified. I'd

39:56

like to be like an 18-wheeler, you know,

39:58

like a semi that a couple tires pop out

40:01

and

40:02

>> there's a little bit of a rumble on the

40:04

truck, but it's still going on. And um I

40:06

also like dividends. I like dividends

40:08

coming in and reinvesting them. Um, so

40:12

I'm also a financials guy. I know that

40:13

space well. So I'm not I don't know. I'm

40:15

not all in on semiconductors. It's not

40:17

my it's not my strength. I guess

40:20

>> it seems like a lot of stocks have been

40:23

selling off and as semiconductors have

40:26

been rallying. I mean most recently even

40:28

the hyperscalers have been selling off

40:29

but like stocks like ICE or CME or S&P

40:34

Global or Moody's or Mastercard or Visa

40:38

have been selling off. So, kind of your

40:40

world, your sweet spot that that's been

40:41

they've been selling off. Do you see

40:42

opportunities there?

40:44

>> Yeah, I think the CME and ICE look

40:46

really good here and um I wrote about

40:50

that, but they had a great quarter.

40:52

They've been having very consistent

40:54

earnings growth. um in the CME across

40:58

all the comp like the interest rate

40:59

complex is doing really well, energy

41:01

complex doing well, metals complex doing

41:03

well, um equity S&P contract,

41:08

ICE did really well with the um energy

41:10

complex, the the European interest

41:12

rates, I mean they're and they were kind

41:15

of I I I get it. I mean another part so

41:18

just two things there. One is in the Zim

41:21

project Zimbabwe trade you get

41:24

speculation. This is something that you

41:26

go anytime you get high inflation and I

41:28

was there's that wonderful story about

41:30

hyperinflation in France and they I was

41:32

like the aenat it's like 1830 or

41:35

something they were talking about the

41:37

gambling halls of Paris and and this is

41:41

what you see when people when money is

41:43

losing value people trade a lot right

41:45

because it's way easier to make money

41:47

flipping a stock on Robin Hood than like

41:50

going down to McDonald's and earning 13

41:52

bucks or whatever you know so you it's

41:55

you you see speculation. These are great

41:58

trades on um rising speculation

42:01

um rising interest rate uncertainty and

42:04

a an unpredictable world. Think of all

42:07

the one

42:07

>> why have they sold off so much?

42:10

>> I think um the the headline is that it's

42:13

couch it's the uh cow sheet coming in

42:16

with uh uh perpetual futures contracts.

42:21

And then I I wonder also if people think

42:23

the the very high earnings in the first

42:26

quarter from uh the energy complex was a

42:29

oneoff like oh they made a lot of money

42:32

on the Iran war and all that but that

42:34

kind of is falling over but otherwise

42:37

maybe I'm missing something because

42:40

you know there's a lot of drivers in the

42:42

in the complex in in the

42:44

>> Yeah, I mean you've written about it.

42:45

It's it's prediction markets and

42:48

perpetual futures. So an investor rather

42:50

than buying or selling contracts of WTI

42:54

crude oil at $80 in April will say just

42:57

buy a contract of what are the odds that

42:59

April that the price of crude oil is

43:01

above $80 and they'll buy or sell that

43:04

contract and also perpetual futures that

43:07

they there's going to be listed on like

43:08

Robin Hood and probably Coinbase. People

43:12

can trade there the same things they did

43:14

on CME. So CME's monopoly is dead. What

43:16

what's your reaction to that?

43:18

>> Not monopoly, duopoly or

43:22

um

43:24

>> I would go with the CME's kind of

43:26

response to this and I thought it made

43:27

sense. It's like well two things. One

43:30

they were saying like 90% of our volumes

43:33

are institutions like asset managers, uh

43:37

commercial hedggers, actual buyers, you

43:39

know, users of oil contracts or interest

43:42

rates. Um and so they want something

43:45

that actually can convert to the

43:47

underlying um which the perpetuals don't

43:50

have. They have a kind of way of trying

43:52

to

43:53

stay anchored to the underlying but I

43:55

think it's actually valuable to real

43:56

players that it con it converts to the

43:59

actual oil contract or the actual S&P.

44:01

Um, so you know there's a thing also in

44:05

trading in futures trading where and I

44:08

this came up because I was following ICE

44:09

and they were make Jeffree Spreer was

44:11

making a point about this early on.

44:14

The real core value volumes in a

44:17

contract are the guys that actually use

44:18

it. the guys who actually take delivery

44:21

of the oil or the jet fuel or the

44:23

agricultural commodity and the and

44:25

they're hedging actual needs and then

44:28

you kind of get the the high frequency

44:30

traders come on top. But those guys look

44:32

around for like real they don't want

44:35

they want some kind of real demand

44:37

players, not everyone just gaming each

44:40

other, you know, they so that's what the

44:43

CME has. It has the real the real use

44:46

case uh traders and that's because it

44:48

has the contracts convert to the actual

44:50

underlying with deliverability and so

44:52

that's

44:53

>> okay Eric sorry what does that mean so

44:55

for for oil energy and agriculture you

44:58

know wheat crude oil natural gas

45:00

receiving the commodity is a real thing

45:02

what does physical delivery and physical

45:05

settling mean for something that doesn't

45:07

exist such as the S&P 500 or interest

45:09

rates they don't exist in the physical

45:11

world I mean what is CM delivery of the

45:14

delivery of the 10-year actual bonds.

45:16

And that's a

45:18

>> apparently an important thing because

45:19

CME is investing in their own um

45:22

settlement clearing system to actually

45:24

deliver uh the bonds electronically. So

45:27

that is a that is I mean the S&P you

45:29

could say is a bit less you know who

45:33

actually does take delivery of the S&P

45:34

and owns the 500 shares, right? Um so I

45:38

I so there's one part is to say like

45:39

look how important is the convertability

45:42

to the actual underlying the second part

45:44

is okay if this is a big thing you know

45:49

if this is a and if this is a hot

45:51

contract and this is like the way the

45:52

world's going then why can't the CME do

45:55

this better than Koshi or why they have

45:59

just as easy way to play this as you

46:01

know I think their their view is like

46:03

look this is a hyper leveraged product

46:05

it is quite quite dangerous and we're I

46:07

mean they're trying they don't want to

46:09

have the boat rocked. They do not want

46:10

to have customers losing tons of money

46:13

and going and having Senate hearings and

46:16

having themselves dragged in front of

46:18

financial services communities. They

46:19

want the boat to just function without

46:22

huge newspaper headlines. And so they

46:24

don't want contracts that people blow

46:27

themselves up on. And so that's why

46:29

they're nervous about it. I mean, but

46:30

they're like, "Look, we don't have any

46:32

problem doing these contracts if they if

46:34

this is the way the world goes, but we

46:36

don't think it's a it's not a futures

46:38

contract because it doesn't convert.

46:40

It's hyper leverage. It's hyper risky."

46:43

And so, but I think they're like, and

46:45

they haven't committed to doing to

46:47

saying they would do these contracts,

46:48

but they could just as easily offer them

46:50

themselves. So, I'm like, like, look,

46:52

they have futures. They have options on

46:54

futures. Like, I'm sure they could come

46:55

up with perpetual futures if they wanted

46:56

to. Um maybe Kowi has good retail

46:59

distribution, but all the guys like

47:00

Charles Schwab or Fidelity I think would

47:03

trade if perpetual futures were a big

47:04

thing and the CME offered them the same

47:06

way the CME offers Bitcoin futures. I

47:09

think people would trade on the CME or

47:10

ICE just as you know I think they have a

47:12

a re a defense against that.

47:17

But maybe that's not entirely what's

47:19

going on, right? like

47:22

I'm sensing there is a bit of a um is

47:25

there a kind of like semiconductors are

47:28

crowding out every other sector like

47:31

it's almost like people are questioning

47:32

everything about like I'm surprised that

47:35

I'm like I'm surprised this perpetual

47:36

futures is like that big a thing but

47:38

like every software stock is getting

47:40

crushed like and I'm like is there some

47:43

kind of broader

47:45

like inverse thing that for semis to go

47:48

up these other sectors have to get

47:49

derated a bit and we're kind of trying

47:52

to come up with the reasons why and

47:55

because I I don't know I'm just you know

47:57

I feel like a lot of sectors

48:00

we're having to defend the multiple of

48:01

why they're so low. Um and it's usually

48:04

oh AI is going to disrupt it or

48:05

something's going to disrupt it and it

48:07

feels it feels like the derating is

48:10

higher than the actual risk is warranted

48:12

maybe.

48:13

>> Yeah. Of people just wanting to sell

48:15

stocks that are not semiconductors to

48:17

buy semiconductor stocks. For sure.

48:18

Also, I'll say on CME's defense, it's a

48:21

very high quality business, very

48:23

extremely high margins, and they also

48:25

are entitled to something like 27% of

48:28

S&P Global's index business. So, they

48:30

are an index business. Basically,

48:31

they're 27% of an index business. So,

48:33

yeah, I would uh I would not be I I

48:37

would not be buying puts, longdated puts

48:39

on on CME, although of course I could be

48:40

wrong. Do you have any views on the not

48:42

other financial stocks like Visa,

48:44

Mastercard, S&P Global, or Moody's? No.

48:48

Yeah. No, I'm on the European banks as

48:50

you know still. So, still in that trade.

48:52

>> Got it. What about software?

48:55

>> The one thing that's interesting about

48:56

software is the earnings estimates are

48:59

going up on them, right? So, for all

49:02

this sphere, they make numbers, analysts

49:06

look at the numbers and they touch their

49:09

future forecast up. So

49:12

that kind of semi-refutes or that is a

49:17

questions this software um disruption.

49:21

where I'm shaking out on this is I think

49:25

the market sees

49:27

there is probably a longer term problem

49:30

or or that many of these and the problem

49:33

also is these software stocks they're

49:35

all very different right but one is

49:38

estimates are almost all fine to going

49:41

up second is but I think the most

49:45

investors are sensing the business model

49:48

may need to change in two ways at least

49:51

one they may go like this all this

49:55

seatbased pricing feels like that's

49:57

going to have to change maybe these

50:01

software services are going to be kind

50:03

of a backend that an AI connects to you

50:06

know if it needs a customer service

50:08

piece of software it doesn't you don't

50:10

go into the front end you that your AI

50:12

connects in through an API so you kind

50:14

of becomes this backend thing how does

50:16

that work and it may go to some kind of

50:18

usagebased model and So I think I almost

50:23

kind of in my head I'm like is this like

50:24

the new real estate sector like that

50:27

there's it's kind of okay and but

50:31

there's kind of a structural change

50:33

underway

50:35

and we don't know how long the other

50:37

problem is people go um how long are

50:40

they going to stay derated like some

50:42

people will say look time will prove me

50:44

right that the mo that the software

50:46

company is fine and the business model

50:48

is going to be fine But one uncertainty

50:51

is no one knows how long that is going

50:53

to take and the feeling is every year

50:56

the AI is going to get smarter and so

50:58

the bare case might actually be

51:00

improving with time and so um you kind

51:04

of get this feeling that the same way

51:06

people don't really want to ear own

51:07

office buildings right they're like yeah

51:09

there may be an office building down the

51:11

street and it may be kind of leased and

51:13

doing okay but I don't feel highly

51:15

comfortable about it I'm not wild about

51:17

it and I don't want to pay a high

51:19

multiple for it. And so I feel it's a

51:22

little bit where software has gotten

51:23

that it's like, okay, they're doing

51:25

okay, but I'm worried that with time

51:29

these problems will manifest themselves.

51:31

And so I'm kind of I I was more bullish

51:34

on them and I'm kind of going into the

51:37

the camp of these might be

51:40

semi semi-dead money.

51:42

>> Yeah. It's amazing to me how much they

51:46

can go down without being cheap. So I

51:49

think Adobe is officially cheap at like

51:51

eight times forward free cash flow,

51:53

maybe less, but so many of their

51:56

valuations were so high on a free cash

51:58

flow basis, but particularly on a net

52:00

income basis because depreciation and

52:02

stockbased comp was so high. So like

52:05

something like Tyler Technologies which

52:06

they sell software to the government.

52:08

It's you know unlikely that in the next

52:11

five years the government is going to be

52:13

vibe coding its own software in my view.

52:15

>> Um or they certainly would be the last

52:17

one to do it after literally everyone

52:19

else. And the company is you down a ton

52:21

and on a PE basis it's still like 35 or

52:24

or 40 times earnings. Okay. So that's

52:26

software. What else are you looking at

52:28

that's interesting other than

52:31

>> the we talked about ICME and then

52:34

software. What else?

52:35

>> Payments companies

52:36

um you know the PayPal's global payments

52:40

aden I'm trying to think every fiserve

52:43

everything in that payment space that

52:46

all those fintexs that in 2021 we were

52:49

all bullish about they've completely

52:51

gotten smashed and so um again I'm not

52:56

wild about them and I was it was more of

52:58

an exploratory call we did just because

53:00

they've gone down so much Um

53:04

the good thing that the payments

53:05

companies are doing and this is like if

53:06

you're in a company in these sectors

53:08

where everyone says you're going to get

53:09

disrupted and there's a big bear case

53:11

but you don't believe in it. Your only

53:13

real defense as a company is to buy back

53:15

shares. You're like look I'm making this

53:17

cash and if you want to trade me at five

53:20

times earnings or seven times it I'm

53:21

just going to buy shares back all day

53:24

because you're wrong and you're going to

53:26

find out you're wrong and meanwhile I'm

53:27

taking advantage of it. I don't know if

53:29

the software companies are really doing

53:30

that yet. the payment companies are um

53:34

and so the story there is just like

53:37

really high free cash flow yields and um

53:40

you know also I'm not I'm questionable

53:42

about them but it was just something we

53:44

explored because I was at an ideas

53:46

dinner here in London and we were all

53:48

talking about them because they're down

53:49

so much. Um, the other slight surprise

53:53

kicker could be they're all they all

53:56

earn percentage of the n the nominal

53:59

transaction value, right? So, I'm like,

54:01

are these hidden inflation plays? I

54:04

mean, they would have to inflation would

54:05

have to maybe get a lot higher, but I'm

54:07

like,

54:07

>> they're inflation hedges. They just are.

54:09

They're not thought of that, but they

54:11

totally are.

54:12

>> Yeah.

54:12

>> Yeah.

54:13

>> And pay Yeah. I I PayPal was probably

54:16

one of my worst trades. I owned call

54:18

options on PayPal that uh I sold at at a

54:22

very large percentage loss and it's just

54:25

amazing just how the earnings were fine

54:29

but they stopped growing and it just

54:32

derated massively and the share buybacks

54:35

happened but the the growth has

54:36

decelerated to such a level that you

54:38

know extremely low singledigit growth

54:41

the the CEO who came in was not a good

54:45

fit their strategy wouldn't wouldn't

54:47

work and at end of the day they are just

54:49

really

54:51

>> what what is growing for them is it is a

54:54

very low margin business of unbranded

54:56

checkout and for branded total payment

54:59

volume which is where they make a lot of

55:00

their margins that is under severe

55:03

pressure just from Apple Pay and other

55:05

competitors and I think it's really

55:06

tough to have Apple as your competitor

55:08

they have such a huge advantage

55:11

>> of you know does people really want to

55:13

open the PayPal app and I I think a

55:15

hidden gen for them is is Venmo So, if

55:17

Venmo was a standalone company, I'd be

55:19

interested in that, but it's tough.

55:21

What? So, wait, what about you think

55:22

about Visa and Mastercard? They're

55:23

they're the ultimate payment kings

55:24

basically.

55:25

>> Yeah, they've always been really

55:26

expensive and I've kind of So, I've kind

55:28

of and to be on and then they've

55:30

performed beautifully even so. So, I'm

55:32

I'm um I don't know what the valuations

55:36

are right now. I haven't looked at it in

55:37

a while, but um

55:38

>> not that high.

55:39

>> Not that high.

55:39

>> Less than 30 times. Yeah.

55:41

>> Okay. I think Jack, just to keep it

55:43

simple, I think if I would look at ICE

55:46

and CME, those are two of the amazing

55:49

businesses and they're they rarely trade

55:52

below 20 times earnings. I think ICE is

55:54

like 15 times and CME is 18 times. I

55:57

would 100% focus on those two things and

56:00

go through the conference calls, see if

56:02

there's something I'm missing. Think

56:03

about it. But like that rarely do those

56:06

two businesses there. They've done been

56:08

extremely consistent growers, extremely

56:11

high generators of cash flow, very

56:14

quality businesses, and if they come

56:16

down to these levels, you should really

56:18

check them out and make sure it's, you

56:19

know, because it could be a gift. So,

56:21

that's where I would focus 100%.

56:24

>> Tell us the sectors that are seeing very

56:27

high earnings growth, your global factor

56:29

model.

56:30

>> Oh, yes. It's estimate revisions. It's

56:33

it's it's where are earnings moving the

56:35

most and it is everything in computer

56:39

hardware semiconductors

56:41

memory a lot of companies in Taiw Taiwan

56:44

that do the um the Nvidia supply chain

56:47

basically. So that's that's one very

56:51

obvious sector that's doing well. I mean

56:53

it's actually three or four subsectors.

56:56

But then the other space um which is

57:00

showing a lot of earnings revision is uh

57:03

oil and gas

57:05

chemicals

57:08

refining um and tankers and and and

57:11

shipping. And this is a very interesting

57:15

you know setup to me. Um,

57:18

when I go back, I was looking at the

57:20

memory stuff in like 2024 and this

57:23

showed all, you know, memories was

57:25

starting to beat earnings massively in

57:28

2024 and it was showing up on the on my

57:30

screens, you know, oh, what memor

57:34

I had to look at what SKH Highix was,

57:36

right? Which was interesting was the

57:38

companies were beating numbers, but the

57:41

earnings estimates for the next year and

57:43

the year after were lower, right?

57:45

They're like, "Oh, it's a one-off, great

57:47

year, but I don't think it's

57:48

sustainable." And so the analysts had

57:50

predicted it would fall over

57:53

those

57:55

those I'm trying to think the 2027

57:57

numbers.

57:59

I think they were predicting 20,000

58:01

Korean Juan in earnings in per share in

58:04

2027. And I think that number is now

58:07

like 300,000 Juan. I mean, it's like

58:10

>> over 10 times.

58:11

>> Over 10 times. How wrong in like two

58:15

years they that that estimate has gone

58:18

up 10x. But what I why I bring this up.

58:22

What's a setup like that now? Something

58:25

where companies are making extraordinary

58:27

amounts of money but the an the whole

58:30

market is fading it. Fading it with the

58:32

estimates, fading it with the

58:33

valuations.

58:35

Shipping is one stuff like front line,

58:37

you know, everything basically to do

58:39

with the Iran war. everything to do

58:42

everything. This is one of the biggest

58:44

trends potentially in the world, Jack. I

58:47

mean, beyond semiconductors, I

58:50

the what if, you know, I'm like, what if

58:54

we have to rearchitect the energy supply

58:57

of the world? Like if 20% of the energy

58:59

comes out of the Persian Gulf, but all

59:01

of a sudden we have a very

59:03

well-fortified country with missiles

59:06

that's not is an intractable problem. it

59:09

is not really or it's going to take

59:10

years to fix the same way the Dombas the

59:13

Ukrainians and the Russians are still

59:14

fighting you know I don't know four or

59:15

five years later what if this is I mean

59:18

know what if this is a four or five year

59:21

problem or more how does it affect

59:23

shipping how does it affect LG how does

59:25

it affect energy supply how does it

59:28

affect refining because all these

59:30

sectors US refiners are booming because

59:32

they are you know they have cheap access

59:34

to energy and jet fuel prices are

59:37

through the roof shipping Shipping is

59:38

booming. Chemical companies are booming

59:40

because all the chemical plants that

59:42

Saudi and Kuwait and Qatar and the UAE

59:46

built all these waste everything to do

59:48

with their product, right? They're like,

59:49

"Let's benefit, you know, value ad.

59:52

Let's build refineries. Let's build

59:54

ammonia plants, ura plants, fertilizer

59:56

plants, whatever. Everything can't is

59:59

stuck in the Persian Gulf." And all the

60:01

guys that are running chemical plants

60:03

around the world, especially in the US,

60:05

are really benefiting. And I just go,

60:07

these estimates are through the roof.

60:10

They have some of the highest earnings

60:11

momentum in the world, but the market

60:14

isn't sure what to do with it, but like

60:15

because that kind of is a unimaginable

60:18

scenario that this could go on for

60:21

years. And like what if this is the

60:24

first chapter of the oil boom? Like

60:25

everyone's spiking the ball. Oh wow, oil

60:28

bulls are such morons. Look, we're at

60:31

$70 oil, right? And I'm like, what if

60:33

that was like the first chap? What if

60:35

you know how what if we're on our road

60:37

to 150 oil and you know it's just this

60:40

going to take time to realize this is

60:41

like unsolvable

60:43

you know it's it's a bit of this

60:45

checkmate the the US doesn't want to put

60:47

troops into Iran but so um just to say d

60:54

on the data the data is screaming all

60:57

these energy related all the sectors

60:59

that are affected and benefiting from

61:02

the lack of supply coming out of the

61:04

straight of hormuz

61:06

um are screaming screening very well for

61:10

earnings revisions and very low

61:11

valuations. So if you wanted to take a

61:13

view that this problem will persist

61:17

those sectors are you know look quite

61:20

attractive.

61:21

>> What about banks?

61:22

>> This is another um like what we touched

61:24

on slightly on earlier. I think the big

61:28

mega trend is that banks are tipping to

61:31

risk on again. I think they've been in

61:33

the doghouse for 10 years. They are

61:35

what? Highly capitalized, highly

61:37

profitable. Loan losses are very low.

61:40

And I think we're now finally getting

61:42

kind of a top-down regulatory change,

61:44

government change. It's okay to lend.

61:47

It's okay to take risk. We want the

61:49

economy to grow. People need to have

61:50

jobs. Banks need to be involved. This

61:52

view is happening in Europe. It's

61:55

happening in Japan. And it's happening

61:57

in the US. And this is another reason

61:59

I'm bullish on growth is because like we

62:01

have been growing. The banks are now

62:03

coming to the party and I'm seeing loan

62:06

growth. Mitsubishi bank grew their

62:08

earnings 10 through their loan book 10%

62:10

last year. First time it happened in

62:12

forever. European banks are still

62:14

growing at 5%. Not but so I'm bullish on

62:18

the banks. It's been a great trade. It's

62:21

not as fresh as it was years ago, but

62:24

still like stuff like Barclays that you

62:26

can get most European banks at eight

62:28

times earnings. And I'm like, okay, was

62:30

better. It was more fun when they were

62:31

five or six, but 8 to nine,

62:35

you know, and the earnings grow. Maybe

62:37

they grow to 12 times and the market

62:38

gets bullish. So, I still like the

62:40

European banks.

62:42

>> Tell me about Chinese AI and Chinese

62:45

tech stocks. Oh,

62:48

Jack, why did you have to bring that up?

62:52

My worst my worst trade has been um

62:57

Hong Kong. And um

63:00

I uh my thesis I mean this is this is

63:03

screens as one of the cheapest markets

63:05

in the world. I think the hang index is

63:07

less than 10 times next year's earnings.

63:10

And I have had this view that uh Chinese

63:16

savings are going to come out of the

63:18

real estate market out of uh fixed

63:20

income into equities. You know, you talk

63:23

about the S&P with, you know, interest

63:26

rates in China one and a half%.

63:29

And they had a very difficult property

63:32

crash. And this reminds me of it's a bit

63:36

bit more prolonged than the US, but I'm

63:37

it's reminding me of us coming out of

63:39

the GFC, right? We're like property

63:41

crashed, everyone was bearish, interest

63:44

rates were super low, and the and the

63:46

experts were saying, you know, "Wow, if

63:48

interest rates are so low, you should be

63:50

buying equities, right?" They would and

63:52

I was the strategist was saying, I'm

63:53

like, "Wow, I don't know, man. That's

63:54

super I'm nervous the economy is going

63:56

to crash. The market's risky. I don't

63:58

care. I want that two. I feel safe with

64:00

2%." In hindsight, they were totally

64:02

right. the market roofed it, right? You

64:04

had very low interest rates and the and

64:06

the economy recovered. And so I look at

64:09

China and I go, "Wow, this looks reminds

64:11

me of post GFC interest rates at one and

64:14

a half% everybody in fixed income and

64:18

the equities are starting to grow again

64:21

and and very cheap at 10 times their and

64:24

by the way uh a culture which has had

64:29

massive investing booms in the past like

64:32

these guy, you know, it's not like

64:33

talking about expecting Germans to have

64:35

a bull market, right? Or, you know,

64:37

they're they're they have a proclivity

64:39

that if this market got some momentum, I

64:41

think the the Hong Kong Chinese market

64:43

could be a massive bull market. And so,

64:45

I'm um I've been holding on there.

64:48

What's not been working? Uh real

64:50

estate's been slow to turn around.

64:51

consumers been still quite sluggish but

64:54

more uh the bigger problem has been the

64:57

Hong Kong index is dominated by Alibaba

65:01

JD.com

65:03

um bu and the earning they've all been

65:06

kind of like uh online retail takeout

65:11

it's a space that's gone smashed there's

65:12

been so much competition in online

65:14

retail in the food delivery business uh

65:18

a paid search in China the those stocks

65:21

have been really have the earnings have

65:24

been terrible and so the tech space that

65:27

Hong Kong tech space has actually been a

65:28

big uh disappointment. Um and the actual

65:31

like all the semi-h hardware stuff is

65:33

mostly in Shenzhen and the ashares. So I

65:35

almost kind of say like that's not what

65:38

I'm it's not a realization I'm happy to

65:40

find out but I feel like Hong Kong is

65:42

software and mainland China is the is

65:45

the hardware play and so that's actually

65:47

been performing much better than Hong

65:49

Kong. So, but I'm still sticking with

65:51

it. So, I still think it'll work.

65:52

>> Eric, can you summarize your bull view

65:55

and maybe you can cite or look at the

65:59

piece uh where you said 10 reasons we go

66:01

higher? What are the 10 reasons you

66:04

think we go higher in in the S&P?

66:06

>> Yeah.

66:06

>> Yeah. You have very strong economy. Uh

66:09

you have good you have strong

66:11

employment. You have earnings

66:13

accelerating and you have interest rates

66:15

that are too low. you have investors

66:18

that are not very bullish and you also

66:20

have rising inflation which is great for

66:22

nominal assets and so I um and and

66:26

another thing like just on the

66:28

bullishness in 1999

66:31

we didn't we were no one was standing

66:33

around saying it was a a bubble we were

66:35

all trading our brains out that's when

66:38

people say oh it's a bubble like it's

66:40

like 1999 it's like in 1999

66:43

we were all involved like no one's doing

66:46

that like very no one's like getting

66:48

carried away and maybe we never will but

66:50

the broader takeaway for people is when

66:54

you're in an inflationary environment

66:55

which we are

66:58

generally assets go up and

67:02

the more important thing over a fiveyear

67:04

view over one year who knows maybe the

67:06

S&P goes 20 down 20% on a 5-year view

67:10

quite consistently assets go up and that

67:13

is also a risk that you're not

67:14

participating in a in a bullish market

67:16

when all the prices around you go up.

67:19

Um, and so, you know, that's, you know,

67:22

you're always worried about the risks.

67:23

Like, we always kind of do regret

67:24

minimization. One risk is that the

67:26

market goes down and you lose 20%. I

67:29

probably say that's a temporary thing.

67:31

But another risk is that the market goes

67:33

up and you didn't participate. Your

67:35

neighbor did, you know. Um, and he goes,

67:38

I mean, and it kind of has that circular

67:40

effect where it brings the prices up of

67:41

everything. you go to the, you know, the

67:43

pub and the hamburger is 20 bucks and

67:45

you're like, you know, you need to be

67:47

making be involved and making money,

67:49

too. Um, so anyways, thank you, Jack.

67:53

Thanks for having me on. Pleasure, Eric.

67:55

People can check out your Substack, Eric

67:58

YWR.

67:59

I very much enjoy it, find a lot of

68:02

value there, and it's always good. It's

68:04

You got to You got to hear from the

68:06

Bulls.

68:06

>> Thanks for doing the update, Jack. and

68:08

and uh cuz you know we made a punchy

68:10

call last year and I thought it was good

68:12

to you know check in on it.

68:16

>> Thank you. Just close the door.

Interactive Summary

Veteran fund manager Eric from YWR maintains a strongly bullish outlook for the stock market, reiterating his 'Project Zimbabwe' thesis that we are in an inflationary environment where nominal asset prices are likely to exceed expectations. Despite concerns about high valuations and AI-driven concentration in the S&P 500, he argues that earnings growth is accelerating and that companies are not experiencing the excessive euphoria of the 1999 bubble. He emphasizes the risks of being uninvested in a rising inflationary environment and suggests that sectors like semiconductors, energy, and European/Japanese financials remain attractive, while noting that software stocks may face structural headwinds.

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