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Scott Galloway’s Predictions for 2026 | Prof G Markets

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Scott Galloway’s Predictions for 2026 | Prof G Markets

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1415 segments

0:00

Today's number 187 million. That's how

0:03

many minutes our fans spent listening

0:04

[music] to Property Markets in 2025 on

0:07

Spotify alone. That's equivalent to 356

0:11

years in celebration. [music] Ed,

0:12

tonight I'm going to watch Jaws with my

0:15

son. Uh we're going to do it a bit

0:17

different though. We're going to watch

0:18

it backwards. And it's actually when you

0:20

watch it backwards, a heartwarming story

0:22

of a shark who helps people work through

0:24

their disabilities.

0:30

All the podcast jokes are kind of lame.

0:32

It's like It's like going to therapy and

0:34

your therapists are people who haven't

0:35

matured since 2011. [laughter]

0:39

>> Oh, you like that one better.

0:40

>> Yeah, I like that one better.

0:41

>> I like that.

0:42

>> Congratulations, Ed. You're not only 30

0:44

under 30, but we're wasting people's

0:46

time. [laughter]

0:48

We're

0:49

>> pretty good. Pretty pretty good numbers.

0:52

Should we do a crime podcast where we

0:54

where we describe where we describe

0:56

hideous murders as like skincare

0:58

routine?

0:59

>> We'd be more successful. True crime

1:01

podcast absolutely crush, which I do not

1:04

understand. I've never found a true

1:05

crime podcast interesting in the least.

1:08

>> How Well, let's bring in Claire. How

1:10

does any woman ever be around any man or

1:12

live in an apartment building or stay in

1:15

her car when she parks after listening

1:16

to crime podcasts? It's basically all

1:19

the same thing. There's a stranger in

1:22

town who's introduced early in the

1:23

podcast who commits a terrible murder

1:26

against a woman. They're all the same.

1:29

>> Claire,

1:30

>> you want my take on true crime? Do you

1:32

listen to crime? I don't listen to them

1:33

either.

1:33

>> You don't listen to them?

1:34

>> No. No.

1:36

>> Okay.

1:37

>> I don't I don't listen to a lot of

1:39

podcasts. Scott, I don't have a lot of

1:40

time to listen to anything other than

1:42

>> You're supposed to give us a nuance take

1:43

on how women

1:44

>> on how women feel

1:45

>> on how women feel. Yeah.

1:47

>> What? Actually, Claire, what what I'm

1:49

the same way. The first podcast I ever

1:51

listened to was the one I was on with

1:52

Cara Swisser. I still don't listen to

1:54

this one, but what um [laughter]

1:57

[gasps]

1:58

what podcast do you listen to, Claire?

2:00

>> I actually I listened to one podcast

2:02

recently called Articles of Interest.

2:04

That's all about how our fashion

2:07

industry is inherently linked to the the

2:09

American military.

2:11

>> Wow.

2:11

>> And it's been an exploration of kind of

2:14

how each war has shaped what we wear as

2:16

Americans. I think that one's pretty

2:18

fascinating. I think you would like it

2:20

actually.

2:20

>> That sounds cool.

2:21

>> Articles of interest. Yeah.

2:22

>> Ed, what do you listen to?

2:24

>> I listen to me. I listen to

2:28

who else?

2:30

>> I listen to Lex Freriedman sometimes,

2:32

actually. I've been listening to that.

2:33

>> Yeah,

2:34

>> it's been good.

2:35

>> Lex.

2:36

>> Um, yeah.

2:38

>> Well, that was fascinating. Let's move

2:40

on from these personal interest stories.

2:42

[laughter]

2:43

Um,

2:44

>> you know, you know, you're the one who

2:46

started this. Did you know that?

2:48

>> Yeah. I was just hoping I had more

2:49

interesting friends. [laughter]

2:52

>> Why you ask a more interesting question?

2:55

>> What are you guys doing over [laughter]

2:57

what I was doing? I listen to the daily.

3:01

>> Um, I used to listen to Radical History

3:03

and then I realized no one was watching

3:04

me listen so I don't need to listen to

3:05

them because I'm not impressing anybody.

3:08

Um, [laughter]

3:09

>> okay. That's funny.

3:11

So, I mostly I listen to our stuff. I

3:14

listen to occasionally I listen to an

3:17

interview that Cara does on on with Cara

3:19

Swisser. I really like the Daily. I

3:21

think they do a great job and it makes

3:22

me feel very old and very white. I'm

3:24

kind of settling into Get Off My Lawn

3:26

when I'm listening to the Daily. I like

3:29

that that guy asks a couple questions

3:32

that his producer tease up and then

3:34

every few seconds goes, "Huh? [snorts]

3:36

Huh? [laughter] So, what you're saying

3:38

is it was difficult."

3:40

I'm like a lot of skill there.

3:42

>> What do you mean by that? [laughter]

3:44

>> By the way, I made fun of him and

3:46

supposedly he's really upset and all

3:47

butt hurt that we met.

3:48

>> We're talking about Baro.

3:49

>> Michael. Yeah.

3:51

>> Yeah.

3:51

>> Yeah.

3:52

>> Yeah. Michael, welcome to Come on

3:53

Anytime, you sexy beast. He's got all

3:55

that Movember hair on his head now on

3:57

his face now. He's very, very handsome.

3:59

Very good voice, too. I

4:00

>> actually have no idea what he looks

4:01

like. What are your reflections on on

4:04

2025 for the show? Uh we are entering a

4:08

new year but

4:11

those minutes sounded like a lot of a

4:13

lot of listening time reflections on the

4:15

show and how we've done

4:17

>> well so

4:20

kind of zooming out I thought that

4:23

podcasting so I sold my company in 2017

4:26

started another company and I realized I

4:29

went off this hamster wheel of more

4:31

money I like more money but I wanted I

4:34

want other things to drive me and I

4:36

thought would make me really happy and I

4:37

want creativity to hit intellectual

4:41

property to hit influence and try and do

4:44

meaningful work. And we started Prop

4:46

Media and we want to make enough money

4:49

to pay our people well and make good

4:51

livingings but it was never it was

4:53

different. It was a different approach.

4:54

It was never about okay I've always been

4:56

how do I raise a [ __ ] ton of money,

4:58

build something and then sell it to a

4:59

company. That's been my strategy for the

5:01

last 30 years. This was different. This

5:04

was more about, you know, quote unquote

5:05

emotional and intellectual reward. And

5:08

about two years ago, we started doing

5:11

really well and we started launching new

5:14

voices, new programs. And now my greed

5:15

glands are going again. And so Prop

5:18

Markets within the portfolio of the five

5:21

podcasts is growing faster, I think,

5:23

than any other of our properties. And

5:26

the most exciting thing about it is

5:27

earlier in the year you and Claire

5:29

basically went to five days a week and

5:31

I'm basically like one one and a half.

5:33

And so and by the way that does has not

5:37

in any way slowed the growth. So uh and

5:40

I also believe the opportunity.

5:43

So I think CNBC sucks. I don't know if

5:45

you've ever picked up on that from me,

5:48

but I think there's a huge opportunity

5:50

to be the premier

5:52

uh business media property, especially

5:55

going after young people. I think the

5:56

average age of a CNBC viewer is like

5:59

dead and we get the average age of our

6:02

listeners is 34. So, and that's where

6:05

all the money is. So, I like the idea of

6:08

surrounding

6:10

um a set of consumers with shows on

6:12

economics, China, the markets. We do our

6:16

political podcasts, but there's just no

6:18

getting around it. You and Claire have

6:20

in the profit market team have killed

6:21

it. You guys are what I mean, you've won

6:24

a bunch of award in addition to your 30

6:26

under 30. Jesus, what what is the

6:28

podcast one? We won best business

6:30

podcast. What did we win?

6:31

>> We won the signal award. Best business

6:33

podcast. We also won the Webbby award.

6:35

>> There you go. So, it's been it's been

6:38

great. It's been I think this was

6:40

Claire's first job. I know it was your

6:42

first job. Claire, was it your first

6:43

job?

6:44

>> Yeah, it was after internships.

6:46

>> Okay. So, think about this. The two

6:47

people running this show, the person

6:49

running it behind the mic and the person

6:51

in front of the mic, this was their

6:53

first job. So, I think that but that's

6:56

really exciting. That's really nice. And

6:59

>> and you guys work well together. And uh

7:02

I like the Yeah, I'm just uh this is

7:05

probably markets I think is growing.

7:09

It's probably the most successful

7:11

product I've ever been involved in right

7:14

out of the gates. I don't have anything

7:15

I can

7:16

>> Wow.

7:17

>> I don't think I've ever launched.

7:18

Typically when I launch a product or a

7:20

website or a business, it's kind of

7:21

like, oh, I have a great idea and I

7:22

raise some money. I'm like, well, this

7:24

isn't working. And I pivot and I pivot

7:27

and it does okay. And then pivot again

7:29

and we catch on to something. And that's

7:31

why I tell entrepreneurs that the key is

7:33

just starting because whatever you think

7:35

makes sense until you face the enemy

7:37

being the marketplace. You don't know.

7:40

And the vision for this granted we had

7:42

pro we had property markets for a while

7:45

twice a week but then when we went to

7:46

five times a week and also I love that

7:48

you guys have done a great job

7:49

incorporating other I'm talking my own

7:52

book here but I I'm really happy. How do

7:54

you guys feel about it? Claire, you go

7:55

first. You're the you're the brains

7:57

behind this Joey Bag of Donut Taco

7:59

Stand. It's been a really rewarding

8:01

year. I mean, it kind of went off

8:04

without a hitch and we've got such a

8:06

good team behind us. So, um I don't

8:10

know. It's been it's been a lot of fun.

8:12

It's been a year of hard work, but it

8:14

hasn't been a hard year. It's been a

8:16

really fun year. So, I've loved it. And

8:20

I think we're going into

8:22

year

8:24

four.

8:25

>> Wow. It's been that long? I didn't know

8:26

that

8:26

>> it's been that long. We start we started

8:28

with one episode in 2022 in July of 22.

8:32

>> Ed reflections.

8:33

>> Uh I'm just surprised that there's so

8:34

much to talk about. I remember when we

8:36

when you said I want to do a daily show.

8:38

I was like well there's not enough stuff

8:39

that happens in the world to talk about.

8:42

Oh my god was I wrong. You can talk

8:44

about anything. There is so much crazy

8:46

[ __ ] happening especially in business in

8:49

markets. So it's been really fun um

8:52

learning how to do that. Um, I I I need

8:55

to come up with something with a plan

8:56

for 2026. Our our 2025 thing was, okay,

9:00

now we're going to do a daily. Every

9:01

year we have a thing that we're working

9:03

towards. I need to think about what

9:05

that's going to be for 2026.

9:07

>> You think it's going to be events?

9:08

>> Events. That's good. That's a good one.

9:10

We can make it events.

9:11

>> So, going to have people come up to me

9:12

and ask me about if you're single, which

9:14

I'm really looking forward to. 2026 is

9:17

going to be about, I think, about events

9:18

and alternative platforms for

9:20

distribution. But I think Clara's point

9:23

is a really important one that she's

9:24

gotten a lot of psychic compensation

9:26

because this year the monetary

9:28

compensation will be dramatically lower

9:30

for both of you. [laughter]

9:31

So I just want to prepare you and I want

9:34

to acknowledge Claire's [laughter]

9:36

recognition of the psychic compensation.

9:39

>> I need nothing else, Scott.

9:40

>> Yeah.

9:40

>> I've had a terrible time. [laughter]

9:42

I've had a terrible time. Yeah. No,

9:44

>> it's been it's been wonderful. Thanks

9:46

thanks for your good work.

9:47

>> Just consider [clears throat] that for

9:48

for my review.

9:49

>> Uhhuh.

9:50

>> [laughter]

9:53

>> Okay, let's get into our episode here.

9:55

This is our first episode of the year.

9:59

Um, it is pre-taped, [laughter]

10:02

so we'll be back next week for our

10:05

proper episode and we'll get into

10:06

everything that's been happening. Uh,

10:08

but for this episode to kick it off, we

10:10

are going to walk through your

10:11

predictions for 2026. We're going to

10:13

cover your thoughts on what is in store

10:15

for AI, for media, for emerging tech.

10:18

try to address some audience questions

10:19

and comments we got on the live stream.

10:22

Um, that sound good?

10:24

>> Yeah, sounds great.

10:25

>> Okay, we're gonna zoom through this.

10:36

So, your first prediction here, [music]

10:38

Scott, AI stocks correct. Please unpack

10:41

that. Yeah. So I think the groundwork

10:44

for this is I think China is so sick of

10:47

dealing with the sclerotic raccoon on

10:49

meth policies of the Trump

10:50

administration where he has uh changed

10:54

the tariff policy uh with China 17 times

10:57

since entering office. And if I were him

10:59

and they've seen this for a while

11:00

they've been diversifying away from the

11:01

US. They've gone from 17% of their

11:04

exports went to the US. It's down to 10.

11:06

and they have reduced just in the last

11:09

gosh the last eight months their exports

11:13

to the US by 70 billion and if I were

11:17

advising she I've said this before I'd

11:18

go for the jugular and I'd start dumping

11:20

AI [clears throat] into the US market

11:22

with openw weight less expensive AI

11:25

models and I believe they're already

11:26

starting to do that and as you see as

11:28

technical um specifications or

11:31

performance of these things start to

11:32

reach par and they seem to be able to

11:36

train their models for less money and

11:38

have uh build models that require less

11:40

energy. I think they're just going to

11:42

dump a massive amount of AI into the

11:44

market and crash our market or uh force

11:47

a correction in the valuation of these

11:48

companies. So I think that's I think

11:50

that's coming and uh these it's really

11:54

interesting now they appear to be doing

11:56

this making these advances with

11:58

substantially less capback. People would

12:00

say that the capex is hidden because

12:02

similar to how Boeing benefited from

12:04

massive government military spending, a

12:06

lot of people say local governments are

12:07

propping up these AI or openweight AI

12:09

models. But one thing is clear, they're

12:12

reaching sort of technical parody. So if

12:14

you can get 90% of open AR anthropic for

12:16

30% of the price, that's a really good

12:19

value proposition. and the CEO of

12:21

Airbnb, Brian Chesy, kind of rattled

12:23

markets when he said that they were

12:24

relying on Alibaba's

12:26

uh I don't know if it's QN or Quen

12:28

model. He said it's very good and it's

12:30

also fast and cheap. Uh so I think

12:33

anyways I think these stocks are going

12:35

to come under these valuations are going

12:37

to come under huge pressure as more and

12:40

more companies announce that they're

12:41

using um you know much less expensive uh

12:44

Chinese models.

12:55

I'm just going to zoom us to the the the

12:57

second prediction which is that the data

12:58

center bubble bursts.

13:00

>> Yeah. I I find that a lot of the data

13:03

center modeling is essentially such that

13:07

uh Sam Alman can pretend his business is

13:09

going to be much bigger than it is. the

13:12

number of data centers announced is um

13:16

up at 240% but if you look at the actual

13:19

number that have begun construction it's

13:22

a fraction of that. I feel like a lot of

13:24

this is signaling as opposed to actual

13:26

construction and also there's huge

13:29

points of constraint and specifically

13:32

um like one of the biggest data centers

13:35

in Nvidia's hometown is still empty

13:37

because it's awaiting power. It it

13:40

they're estimating for a lot of these

13:41

things it would take 5 to 8 years to

13:42

connect them to the grid. And if you

13:44

believe the statements around the

13:46

revenue projections and the power

13:48

required to fund the data centers

13:51

implicit in these revenues projections,

13:53

we would need 250 nuclear plants, new uh

13:57

nuclear power plants in a cost at a cost

13:59

of $10 trillion. So,

14:02

you know, I just think it's, you know,

14:05

Alman said, "Our vision is simple. we

14:06

want to create a factory that can

14:07

produce a gigawatt of new AI

14:09

infrastructure every week. I I just

14:12

don't see how that's feasible. I also

14:14

don't think it's true. Uh I think he's

14:16

just trying to say I know my business so

14:17

well and as a head fake look at we're

14:19

going to need all this power and uh I

14:22

just don't I just don't think it's it's

14:24

going to happen and all the data I think

14:26

the data storage

14:28

projections are way off and that that

14:30

that bubble is going to is going to pop

14:34

and whether or not the infrastructure uh

14:37

power infrastructure keeps up or

14:39

increases or not uh the capex will

14:42

absolutely increase it but meanwhile

14:45

China kind of is continuing to power

14:46

ahead. They they brought on 256 gawatts

14:49

of new solar capacity in 2025, the first

14:54

half, and that's more than the rest of

14:55

the world. So, it doesn't even appear

14:56

that we have the infrastructure or we

14:59

have the capital, but it doesn't appear

15:01

like we're actually going on with it. So

15:04

it strikes me that one of they'll either

15:06

be huge constraints logistically

15:09

or that we're going to find that in fact

15:11

AI does slow down and there are cheaper

15:13

less energy consumptive ways of powering

15:15

these LLMs or that they'll be powered

15:18

out of China with openw weight models.

15:20

So I think we're going to see um a bit

15:24

of a bubble burst in not only AI stocks

15:27

but in this data storage hysteria. In

15:29

addition, um unfortunately what we're

15:32

going to see is another wealth transfer

15:34

from middle class households in the form

15:35

of higher electricity prices because it

15:37

will put a strain on the existing grid

15:39

which will transfer to an increase in

15:41

electricity prices for middle class

15:42

consumers.

15:44

But also incumbent in the first

15:47

prediction about those stocks we're

15:48

correcting. I think there's going to be

15:50

a bailout in 2026 and the bailout is

15:52

going to be of AI specifically. They'll

15:55

position as some sort of strategic

15:57

government investment in the form of

15:58

loan guarantees to continue the music

16:01

playing, but it's effectively going to

16:02

be a bailout. And that is all of these

16:05

companies are built on such ridiculous

16:08

expectations around revenue growth. And

16:10

the way they will want to get to that

16:12

revenue growth and provide the

16:13

infrastructure and buy more chips will

16:16

be to take on massive deods backed by

16:17

the government, which in my mind is

16:19

essentially a bailout.

16:20

>> Yeah. I mean, well, AI bailed out

16:23

Trump's administration, so it would only

16:25

make sense that the next year Trump's

16:26

administration bails out AI. It would it

16:29

would bring everything full circle.

16:32

[music]

16:40

>> Your third prediction, the Nvidia and

16:43

OpenAI duopoly comes under siege. Please

16:46

unpack that prediction. Well, it's just

16:48

the great thing about competition.

16:50

Nvidia is the most valuable company in

16:52

the world because they're able to

16:54

command incredible operating margins. It

16:56

reminds me when I got out of business

16:57

school in '92, the premier job was Intel

17:00

and Apple and Motorola got sick of

17:03

Intel's essential duopoly in conjunction

17:05

with their partnership with Microsoft

17:08

and they started producing their own

17:09

chips. And um you know, OpenAI is saying

17:13

they're going to increase their revenues

17:14

by $180 billion by 2030 and Nvidia 800

17:18

billion by 2030. And then if you look at

17:22

I mean it's just it's just staggering.

17:23

And we're also seeing that while these

17:26

companies still dominate, we are seeing

17:28

some share dispersion. Specifically,

17:30

Gemini is now 15%. Deepseek, which was

17:32

at zero, is now at 4%.

17:35

And also, you know, as we've said, we

17:38

think Gemini is probably the most

17:39

underrated LLM because of the fire hose

17:43

of, you know, a couple billion users

17:45

each day that they can fire via Google

17:47

search and I find that the AI summaries

17:48

at the top of Google queries are getting

17:50

better and better. I think anthropic per

17:53

our comments around I think it's going

17:55

to be a successful IPO. I think it'll

17:56

grow its share. So, and even Amazon and

18:00

Google are trying to get into the game

18:02

uh producing their own chips to compete

18:03

with Nvidia. This is a good thing. But

18:06

right now, Nvidia's share of GPU market

18:09

is 94%. That will come way down. And um

18:14

their market cap right now is greater

18:15

than the entire stock market of Canada,

18:17

UK, France, Germany, and Italy. Uh and

18:20

then if you just look at the market cap

18:22

of this company relative you Nvidia's

18:25

market cap is greater than the market

18:26

cap of Costco, Bank of America, IBM,

18:28

Palanteer, Exxon Mobile, Walmart,

18:30

Netflix, Oracle, Home Depot and

18:32

Salesforce combined. I don't think

18:34

that's sustainable. And back to the

18:35

Intel example.

18:37

Intel had a similar type of duopoly with

18:40

Microsoft versus Nvidia and Open AI. And

18:45

in 1999, it was a $200 billion market

18:47

cap. By 2000 it was a half a trillion.

18:51

Now it's 165 billion. And granted, Intel

18:54

may be the worst managed big tech

18:55

company the last 25 years given their

18:57

leadership. But I do think it's somewhat

18:59

of a metaphor for what might happen to

19:01

Nvidia. And also Nvidia is a premium

19:04

price product. It costs about 10 bucks

19:05

an hour to use their um Nvidia H100

19:10

versus about half the price for an AWS

19:13

Tranium or a Google TPU. So I I don't

19:18

think this is kind of an this is a bit

19:20

of a layup because these two companies

19:23

are too profitable to maintain to not

19:25

attract huge sharks. There's so much

19:27

blood in the water here. So it's just

19:29

logical their share would come down. So

19:31

that's not that bold a prediction. I

19:32

guess the question is how much their

19:34

share will come down

19:35

>> and who will come for them? Who are they

19:36

going to be the main attackers?

19:38

>> Well, it's like Gary Oldman said in the

19:40

movie, was it the assassin with Natalie

19:42

Natalie Portman's first first movie? Uh

19:45

he says bring everyone and he's like

19:47

what do you mean? He's like everyone. So

19:49

everyone I think everyone's coming for

19:51

these guys. I think every big tech

19:54

player I mean Meta everyone's going to

19:57

be trying to develop their own chips and

19:59

their own LLMs and again per the

20:02

previous prediction China is just going

20:04

to just start massive AI dumping. I

20:06

don't know if they have the IP around

20:07

the chip, but I you know this Jeff Bezos

20:12

looks at all these rockets going into

20:13

space and the value of SpaceX and starts

20:15

saying, "Okay, Kyper." And I would bet

20:17

that they're thinking a lot long and

20:19

hard about how to develop a pretty

20:20

robust chip offering.

20:22

We'll be right back after the break. And

20:24

if you're enjoying the show, send it to

20:25

a friend and please follow us if you

20:27

haven't already.

20:34

We're back with Profy Markets.

20:48

>> Okay, big tech stock pick is Amazon. Why

20:51

is that? So, it's all about obviously

20:54

their earnings growth, strategic

20:56

positioning, and also all of this

20:57

relative to

20:59

um their current valuation. And Amazon,

21:02

so our big tech stock pick of last year

21:04

was Alphabet. It's up 60 um 8%. The

21:07

worst performing stock of the last of

21:09

the year to date is Amazon only up 7%.

21:12

And if you look at their revenue per

21:14

employee, it's actually down 28% in the

21:17

last 10 years versus up 49,

21:20

56, and 62 at Meta Alphabet and

21:23

Microsoft respectively. And I think a

21:25

lot of that is not because of

21:26

underperformance of Amazon, but because

21:28

of huge investments in um uh more people

21:33

to staff their factories and also huge

21:36

investments in robotics and AI. And I

21:39

think that where AI begins to pay real

21:41

dividends in terms of market cap

21:43

increases is that I think it will lose

21:45

market cap across the infrastructure and

21:46

LLM layer, but I think it's going to

21:49

increase market cap and quote unquote

21:51

the application layer specifically

21:52

around autonomous

21:55

and robotics. And I think Amazon's

21:58

acquisition in KA was genius.

22:01

And the fact that Amazon has a million

22:04

robots or

22:07

um a million um operational industrial

22:09

robots versus the rest of the nation of

22:11

400,000 and their prediction that they

22:14

can double their retail revenue by 2033

22:17

or 32 without any increase in employees

22:20

just says to me that one of the biggest

22:22

businesses in the world and that is

22:23

Amazon's retail business is going to

22:26

register margin expansion. Typically

22:28

what's happened over the last 10 years

22:29

is all the margin expansion has come

22:31

from Amazon media group or from AWS. But

22:34

if you're able to expand the margins

22:36

substantially across one of the world's

22:39

largest revenue streams and that is

22:40

Amazon's platform retail that's going to

22:43

be um dramatic. And Amazon is the Ford

22:46

of the 21st century. Ford in about 10 or

22:49

15 years took the production time of a

22:51

car down 90% and in the last decade

22:55

Amazon's been able to do the same thing

22:56

from click to order. And I think it's

22:58

going to take it down 99% and you're

23:00

going to have huge Amazon warehouses and

23:02

delivery basically almost the entire

23:04

supply chain uh operated by these

23:07

industrial robots and that obviously has

23:09

societal implications but it's going to

23:10

be great for Amazon shareholders and

23:13

then you layer in Kyper which is its uh

23:16

uh Bezos attempt to develop launch

23:19

capability. I think that'll become it's

23:21

kind of been a pimple on the elephant to

23:22

SpaceX. I think that's going to become

23:25

not a big competitor but a player if you

23:27

will. Um, and I just don't see AWS is

23:33

been kind of hammered as being seen as

23:34

the least AI compatible or the least AI

23:37

enabled cloud but it is still the number

23:40

one cloud company and it's also trading

23:44

at what are typically historically low

23:46

multiples for Amazon. It typically

23:47

trades at 58 P of 58 which is rich. It's

23:50

now trading at 33. Its enterprise value

23:53

to ibeta over the last five years has

23:55

averaged 23. It's now at 17. In some

23:58

just as Alphabet looked cheap to me last

24:00

year or reasonable I should say not

24:02

cheap, Amazon doesn't look cheap but it

24:04

looks reasonable and I think people are

24:06

going to realize that AI the best

24:09

interface of AI is in autonomous or in

24:11

robotics and Amazon is a leader in

24:13

collapsing AI and robotics.

24:15

>> Listen a comment kind of surprised to

24:17

pick is an alphabet again given how

24:19

you've praised Google's progress in AI.

24:22

Why not Google against her?

24:23

>> Could be. I I think so. I own some

24:26

Alphabet and I'm not selling and the

24:28

thing I'm most excited about quite

24:29

frankly with Alphabet is Whimo because

24:30

again I think the the place that AI

24:32

starts to register stakeholder growth is

24:35

an Autonomous.

24:36

I I like Alphabet. I'm not selling. Uh

24:39

it's it's up 69% this year. So it's had

24:42

or 68%. So it's had a pretty a pretty

24:45

big run, but I still think it's it's one

24:48

of the more reasonably uh priced stocks.

25:00

fifth predictions. Space becomes the

25:02

next thing.

25:03

>> Well, tech of the year. So I, you know,

25:06

AI, then I predicted voice, then AI,

25:09

then GLP1, and last year I predicted

25:11

nuclear. This year I'm predicting um

25:14

space and that is what technology or

25:17

platform or sector traps attracts the

25:19

most cheap capital and sees the most the

25:21

greatest increase in valuations and I

25:24

think it's going to be space. Um, and if

25:27

I were running IR for SpaceX, the way I

25:29

would position it is, okay, Google gets

25:31

90% of search,

25:33

Meta 60% of all social, Amazon 50% of

25:36

all commerce, but we at SpaceX have 90%

25:40

of literally everything else. And that

25:42

is, if you look at this tiny little pale

25:46

blue dot in one of 10,000 universes or

25:49

galaxies, we own 90% of everything

25:52

outside of that blue dot. we are putting

25:55

I think 90% of launch launch capacity

25:57

right now 2/3 of satellites they can get

26:01

um they can get items or products into

26:05

space for less than anyone else the

26:07

price per kilogram's come down 90% which

26:10

sort of gives them a bit of a mini

26:11

monopoly on space and space has evolved

26:14

from kind of weird narcissism and

26:16

nihilism yeah let's people like space

26:18

tourism is the stupidest [ __ ]

26:20

business I'd ever heard but space

26:22

hauling is huge

26:24

and uh connectivity and then where I

26:26

think you're going to get real some real

26:29

serious like um new unicorns is going to

26:33

be in space defense like what is the

26:35

andeland and is that it's called of

26:37

space and it might be

26:39

uh but there's going to be some

26:41

companies who um are going to say we're

26:44

the best at building weapons deployed in

26:46

space and those companies are going to

26:47

go crazy so I think that the next kind

26:50

of big technology that results and a

26:53

massive increase in attention capital

26:55

and companies you never heard of

26:56

becoming unicorns is um this space

27:09

best investment you don't have access to

27:11

Tik Tok US

27:13

>> so uh Trump in what is socialism meets

27:17

cronyism has basically forced China to

27:19

sell Tik Tok to a group of Republican

27:21

donors that total [ __ ] socialism,

27:26

denial of rule of law, and he's carving

27:28

it up like a birthday cake and giving it

27:30

to his Republican buddies, and they're

27:32

getting it for a song. Supposedly, the

27:35

price is 14 billion. 50% of the revenues

27:38

are going to go back to the CCP.

27:40

Um, uh, which technically makes it a $28

27:43

billion price tag. Uh, it Tik Tok's US

27:47

business is about 12 billion in revenue.

27:49

If you assign the same multiple Alphabet

27:51

has, despite the fact Tik Tok's probably

27:52

growing faster than Alphabet, which is

27:54

10, you get an implied valuation of 120

27:57

billion. So effectively, these guys are

28:00

getting um getting a 4.5x on their

28:04

investment from day zero when they are

28:07

awarded the company. And unfortunately,

28:08

as Democrats, we don't have access to

28:10

this investment. But this is probably

28:12

the biggest hundred billion dollar

28:14

giveaway I think in recent memory based

28:16

on cronyism and a lack of [snorts]

28:19

feckless neutered uh co-equal branch or

28:22

or not equal other branches of Congress

28:25

that should be blocking this deal. But

28:28

this is the this will be the easiest way

28:30

that any group of people have made

28:32

hundred billion dollars in 12 months.

28:34

>> Listen a question. What happens to Tik

28:36

Tok when Democrats win back government

28:38

control?

28:39

>> It's a really interesting question. The

28:40

problem is they're so [ __ ] old that

28:42

they just don't understand it. And I

28:44

don't know how they unwind that deal. Do

28:46

they unwind it? I don't know. I'm not

28:49

sure. I'm not sure anything

28:53

happens because

28:55

you know once it's like trying we know

28:57

Instagram

28:59

I mean Congress really [ __ ] up

29:01

approving Meta's acquisition of

29:03

Instagram. They [ __ ] up letting

29:05

Alphabet acquire YouTube. these would be

29:07

two great companies, competitors

29:09

battling it out, lowering rents on

29:10

advertisers and consumers because

29:13

there'd be more options for advertisers.

29:16

Um, but once these acquisitions are

29:18

done, they're very hard. It's it's very

29:20

hard to break up companies. So, I don't

29:22

know. I I don't know if anything's going

29:23

to happen.

29:24

>> That's exactly what Jonathan Caner's

29:25

point has been as well. Just this

29:27

retroactive approach to policy is so

29:29

useless and [music] it never gets us

29:30

anywhere. so hard.

29:40

>> Prediction number seven, short form

29:42

video and AI meteors strike Hollywood.

29:46

>> Since 2019, US restaurants have come

29:49

back and then some. Airlines have come

29:52

back and then some. um concerts. Um uh

29:57

Broadway is back to almost where it was.

30:00

Uh hotel occupancy is slightly down.

30:03

Theme park attendance is still slightly

30:05

down, but the film industry is off 30 to

30:09

40% since co it just never came back.

30:11

And when industries are in structural

30:13

decline, it's like something happens and

30:15

takes they have a step change down and

30:17

they never recover. And if you're a

30:20

listener in the creative community here,

30:22

you absolutely want to run as fast as

30:23

you can to a small screen. If you're if

30:26

you're making [ __ ] for the big screen, I

30:27

went and saw that movie Battle After

30:31

Battle. The Leo DiCaprio movie. Was it

30:32

called Battle After Battle?

30:33

>> Yeah. One battle after another.

30:35

>> It's literally peak artistic

30:36

masturbation. Supposedly the thing cost

30:38

200 to 300 million. It's, you know, it's

30:41

a decent film on Netflix that should

30:43

have cost 12 million. We're all talking

30:45

or I've been talking for a while for a

30:47

couple years now about how AI is coming

30:48

for Hollywood and that all of the you

30:50

know these these unions who just think

30:53

they're so [ __ ] precious and not and

30:55

somewhat immune from market realities

30:58

are just going to have such a rude

30:59

awakening and I think the Ellison get a

31:01

hold of these assets and have to justify

31:04

or find efficiencies from overpaying for

31:06

these things. AI is coming for them.

31:08

What people aren't talking about is

31:11

these short form video platforms. Um,

31:15

like something called the Kids Diana

31:17

Show has 137 million subscribers versus

31:20

Disney at 128 million subscribers. So

31:24

these really short form, it's basically

31:26

Quibby but with better storytelling. I

31:29

mean Magw women and Jeff Katzenberg to

31:31

their credit, they were actually right

31:32

in 2019. One of my predictions was

31:34

Quibby would fold and I was right. they

31:35

were just ahead of their time. And that

31:38

is we're basically punching out into the

31:40

market a group of adults who have

31:41

attention spans of two to three minutes.

31:44

And the idea of a series that is 2,

31:45

three, or 10 minutes seems weird to

31:47

people my age, but it's actually kind of

31:49

in line with the brain being trained by

31:53

Tik Tok. And so I think a lot of these

31:56

platforms are going to um start to erode

31:59

share not only from traditional

32:01

streaming networks, but especially from

32:02

movies. I even find myself I have a

32:06

tough time sitting through a movie and I

32:08

think it's because I've gotten so used

32:09

to short form video and I will not go to

32:13

a movie unless I know it's at least good

32:15

if not great. I just won't do it. I

32:17

won't take a risk on a movie. Whereas

32:18

when I was your age, Ed, I used to go

32:23

at least when I was a teenager, I would

32:24

go to two movies a week. I would just

32:27

see everything. I would see everything

32:28

when it came out. And the good movies. I

32:31

saw Empire Strikes Back like six times.

32:34

I saw Greece five times.

32:36

Um, wonderful movie, Ed. Uh, I don't

32:40

know if you saw Greece. Have you ever

32:41

seen Greece with John Travolt and Olivia

32:43

Newton John?

32:43

>> Yeah, of course.

32:44

>> And Jeff Conway who later died of opiate

32:47

addiction. Um, fantastic film. Anyways,

32:51

uh, these short form video. First it was

32:54

Tik Tok coming for them and I think that

32:57

you're going to see a bunch of upstarts

32:58

with new platforms. Yeah, it's just

33:01

going to be streaming streaming video

33:03

will hold on. Uh movies are just going

33:07

to it's sometimes it's darkest before

33:08

it's pitch black. I think you're going

33:10

to see more theaters closed and I think

33:12

you're going to see unless it's it's

33:14

just so discouraging, but we're just

33:15

going to see sequel after sequel after

33:16

sequel cuz the cost I just saw a movie

33:20

called Roofman, which is a wonderful

33:21

film. uh barely broke. It'll be lucky if

33:24

it breaks even because no one's seeing

33:26

movies anymore.

33:36

Let's move on to your eighth prediction.

33:40

Whimo speeds ahead.

33:42

>> So, a million trips u September 2025.

33:47

They've pulled ahead of absolutely

33:48

everybody. It's a it's a time machine. I

33:52

think I think Whimo could drive a half a

33:55

trillion dollars in value at at Alphabet

33:58

because if you want a trillion dollar

33:59

company, you got to build a time

34:00

machine. This gives back a ton of pe a

34:03

ton of time to people and the cost, you

34:07

know, the downside of Whimo is the car

34:08

costs about a quarter of a million

34:10

dollars versus

34:12

Tesla's at 40 and BYU's at 30, but I

34:15

think that cost will come way down

34:16

because of the lidar sensors. But uh the

34:20

two domestic competitors Tesla and Zuks

34:22

are absolutely nowhere compared to

34:24

Whimo. They're I think Whimo in um 2025

34:29

had 9 million or it looks like it's

34:31

going to have 9 million rides. I think

34:33

Tesla's going to have less than 100,000

34:35

and so is Zuk. So um you know Tesla has

34:39

one and a quarter million miles with a

34:41

human safety monitor in the front which

34:42

kind of defeats the whole purpose and

34:44

Whimo's already did 100 million miles.

34:46

So uh the other player that's really

34:48

going to benefit from

34:51

the autonomous explosion in 2026 is

34:53

going to be Uber who I think Darcast is

34:56

one of the brightest managers in tech

34:57

right now and he's taking an agnostic

35:00

approach letting all of these players

35:02

massively spend on the technology and

35:04

he'll just be the front end and use his

35:05

custody of the consumer to offer people

35:07

autonomous across a variety of players.

35:09

So I think as the distribution [snorts]

35:12

kind of mechanism for for uh autonomous

35:16

I actually think he'll be a winner.

35:17

Everyone's saying was going to eat into

35:18

their business. I think he's smart and

35:20

is going to actually benefit from it.

35:30

>> Ninth prediction. [music]

35:32

Humanoid robots are the self-driving

35:34

cause of 2015.

35:35

>> Better or not. I should have said

35:36

they're the segue. This is just so

35:38

[ __ ] ridiculous. Again, more weapons

35:40

of mass destruction from Elon Musk

35:42

trying to get people not to look at the

35:44

fact he has a car company worth 100

35:46

billion, not 1.4 trillion. And he even

35:49

said that uh robots would comprise 90%

35:52

of the enterprise value of Tesla.

35:54

Basically, what he's saying is I need to

35:55

find something to be 90% of the value

35:57

because it's not here with cars. And I

36:01

just don't think I it's just so

36:03

interesting. People don't do any

36:04

consumer research. The last [ __ ]

36:07

thing I want in my home is a robot

36:10

trapesing around. I mean, it's just so

36:13

ridiculous.

36:14

>> What if it was really exclusive and

36:16

expensive?

36:16

>> Yeah, I don't think I'm quite that level

36:18

of douchebag, but um No, I don't want a

36:22

robot. I don't I just think these things

36:24

are ridiculous. I I I don't I don't see

36:27

these things I don't think they've done

36:28

any consumer research around do people

36:32

really want a humanoid robot trapesing

36:35

around their house. In addition, the

36:37

utility is just not there. They don't

36:39

the technology is just not there. And

36:42

this is one place you're going to have a

36:45

million non- college or you know non-

36:48

high school grad mostly men put out of

36:51

business because the experience

36:54

unfortunately the human contribution to

36:56

that job the delta is just not that much

36:59

greater than or it's less cuz they're

37:01

more dangerous than an autonomous

37:03

whereas uh quote unquote whatever you

37:05

call it domestic help is still 10x what

37:09

a [ __ ] robot's going to do in your

37:11

house. These things just don't work and

37:13

they're creepy and they're weird. Um, so

37:17

I [clears throat] again this is the

37:19

segue

37:21

the the autonomous 10 years ago vastly

37:25

overhyped a weapon of mass distraction

37:28

going nowhere.

37:29

>> Listener question is now the time to

37:31

short Tesla.

37:32

>> I would never tell anyone to short Tesla

37:35

because I wanted to short it at 30 bucks

37:38

a share. What's it at now? I I I've been

37:41

so wrong on Tesla and this company is a

37:44

meme stock, meaning it's not connected

37:45

to its underlying fundamentals.

37:47

So, Ro they could announce terrible

37:51

earnings. They could announce these

37:53

robots make no sense and the stock could

37:55

be up 20%. It's been become totally

37:58

disconnected from its uh underlying

38:01

fundamentals. So, rather than give

38:02

advice, I'll say what I'm doing. I'm

38:04

looking at buying these two and 3x

38:07

leveraged uh short positions on the

38:10

Magnificent 10, including Tesla, cuz I

38:12

think it's all overvalued right now.

38:14

Just as a hedge, not a big bet, but just

38:16

as a hedge such that if the market, you

38:19

know, throws up and these things are off

38:20

50%, I'll still lose money because

38:22

everything's correlated, you know, my

38:24

total portfolio probably go down 20 or

38:26

30%. But I'll maybe get 10 10 or 15 back

38:29

if I if I take this short position. So,

38:32

[music] I I wouldn't tell anyone to

38:34

short Tesla because this company has

38:35

become disconnected from its

38:36

fundamentals a long time ago.

38:39

>> We'll be right back. And for even more

38:41

markets content, [music] sign up for our

38:42

newsletter at profmarkets.com/subscribe.

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39:55

We're back with Prof Markets

40:06

>> 10th prediction vice of the year is

40:09

prediction markets.

40:10

>> Yeah, these things are fascinating. They

40:12

have built into them the most incredible

40:16

marketing and that is they the wisdom of

40:19

crowds is is fascinating and they become

40:23

it's not only insight into what might

40:24

happen but become self-fulfilling pro

40:26

prophecies. When you see these digital

40:28

billboards in Manhattan saying 95%

40:30

likelihood from I think it was Kelshi

40:33

that mom Donnie would win the election,

40:36

it becomes a self-fulfilling fulfilling

40:38

prophecy. And a lot of times these

40:41

prediction markets really have insight

40:42

into what's going to happen because

40:43

you're getting thousands of points of

40:44

light from different processors called

40:47

human brains. So and so it's incredible

40:51

marketing. More and more people get

40:52

excited. More and more people will be

40:53

arguing over, you know, Thanksgiving

40:55

dinner about who will be president.

40:56

decide to make bets. So, and people love

41:00

the dopa of gambling and especially

41:03

young men who want to believe that they

41:05

can find easy riches without actually

41:07

showing the grit and discipline of

41:08

getting up and going to work. Um, and

41:11

the calc said something interesting. He

41:14

said, "If we're gambling, then I think

41:15

you're basically calling the entire

41:16

financial market gambling." And there's

41:17

some truth to that. The problem is it's

41:20

going to be the mother of all insider

41:21

trading because if if there's a one in

41:23

three chance Eric Adams will drop out of

41:25

the race in the next seven days. What's

41:28

to say he can or is even illegal for him

41:30

to raise 10 million bucks from his

41:32

friends and say let's put 10 million on

41:35

me um um you know it's three to one that

41:38

I'll drop out in the next week and then

41:40

we'll make the bet and I'll drop out

41:41

tomorrow and I get a $20 million

41:44

um severance package for dropping out of

41:46

the race in the next seven days. I mean

41:48

the betting is getting down to will this

41:49

pitch be faster than 95 mph. So the

41:53

temptation just to coordinate with

41:55

people betting real time and manipulate

41:58

the market is just extraordinary here.

42:00

Uh they're getting into the market or

42:02

they're starting to bet on sports. Uh we

42:05

have a very lax administration. Dave

42:07

will just give millions of dollars to

42:09

the next I don't know he wants to build

42:13

I don't know a dance hall or a disco or

42:15

I I don't know a p he wants to put in

42:16

pole dancing and you know the oval

42:19

office or something the losers here

42:21

hands down are the gaming communities I

42:23

mean gaming stocks are down uh between 7

42:26

and 38% Caesar's off 30 is that Caesars

42:29

I think Caesar's off 38% all there's no

42:32

you don't why be in Vegas when Vegas is

42:36

in you and and that is it's in your

42:37

pocket and you're just seeing a crash in

42:39

Vegas. Visitor volume is down uh 8% to

42:43

Vegas. The problem with it is that see

42:47

another thing.

42:49

I mean, so much about the most valuable

42:51

companies in the world basically exploit

42:53

a flaw in our instincts and and free

42:56

safe play has been in short supply

43:00

and the envy of getting all of these

43:03

notifications on your phone has made a

43:05

less sophisticated or mature brain of

43:06

young men think that they can get rich

43:08

quick with um speculating. And 50% of US

43:12

men 18 to 49 have a sports betting

43:14

account. And about a third uh of sports

43:18

betterers say they're addicted. Uh so

43:21

this is and you know the consequences

43:23

are pretty dramatic here. When a state

43:24

legalizes gambling there's a 28%

43:26

increase in bankruptcies.

43:28

Uh there's a huge increase in domestic

43:31

violence and also my mom was a dosent at

43:34

the Bellagio Hotel and she's come home

43:35

with all these fun facts. [snorts] Uh

43:37

gambling has the highest suicide rate of

43:39

any addiction because if you become

43:41

addicted to meth people figure it out

43:42

and try and intervene. You can mortgage

43:46

your house, spend your co kids college

43:47

fund on gambling and nobody knows. And

43:51

so you feel like there's only one way

43:53

way out. As a matter of fact, one in

43:54

five people with gambling addiction at

43:56

some point attempt suicide.

44:07

>> 11th prediction, synthetic relationships

44:10

take center stage. Yeah, I hope that we

44:13

have gotten a little bit smarter about

44:15

the damage that big tech and these

44:18

platforms have done to young people and

44:20

that we have a more prompt

44:24

response to synthetic relationships. I I

44:27

really do think these things are a real

44:29

threat to our youth. Uh, by the way, I

44:32

want to acknowledge there's some really

44:34

positive things or potential about

44:35

synthetic relationships.

44:37

A quarter of people 65 and older are

44:40

socially isolated

44:42

uh because they've outlived their

44:43

friends and family or they're alienated

44:45

from their family. And so social

44:47

isolation among seniors increases the

44:49

risk of a stroke by 30%. And increases

44:52

the risk of dementia by 50%. And chronic

44:55

loneliness is has the same impact on

44:57

your health as smoking 15 cigarettes per

45:00

day. And also nursing homes are vastly

45:03

underststaffed. And a lot of what, you

45:05

know, a lot of what healthcare workers

45:06

say in these nursing homes is that what

45:09

what their residents really want is

45:11

company. What they want is

45:13

companionship.

45:14

Um, and so the share of the population

45:17

that is 65 or older is going from 12% in

45:20

2004 to by 2030 it'll be 21%.

45:24

So I do think these these synthetic

45:27

relationships have big opportunities

45:28

with senior seniors and there'll be some

45:30

interesting companies there. The problem

45:32

is it should be agegated. 3/4 of teens

45:35

have used have uh had a relationship

45:38

with an AI companion and half of them

45:40

say they're using it a few times a month

45:42

or more. Um and four fifths of users are

45:46

under the age of 35 which means Congress

45:47

will do nothing because they'll all be

45:49

watching [ __ ] murder she wrote and

45:50

have no idea that what a synthetic

45:52

relationship is and they're just not in

45:55

touch with this this technology and how

45:57

dangerous it is. And when you look at

46:00

just searches for how to make a friend

46:02

exploding on Google and how lonely

46:04

people are and the fact that their

46:06

amount of time they spend with their

46:08

family each day has been cut by 23 in

46:11

the last 20 years and the number of high

46:14

school teens who sees their friends

46:15

every day has been cut in half in the

46:17

last 15 years. And the number of people

46:19

stating that they're lonely is up 60%.

46:23

you just see where this is headed and

46:25

that is uh people sequestering from

46:28

society especially young men and I've

46:29

said this before that big tech wants to

46:31

evolve a new species of asocial asexual

46:33

males

46:35

um and it's

46:38

you know one in eight one in eight

46:40

people say they have no close friends

46:41

one in seven men says they have no

46:43

friends and unfortunately there's so

46:45

much profit in this because the amount

46:47

of the average duration or time spent on

46:49

chat GBT is 14 minutes and get this ad

46:51

the average amount of time spent on a

46:53

character AI or with a character AI, the

46:56

average amount of time is 93 minutes.

46:58

These things are really seductive. So, I

47:01

would I hope that our elected

47:04

representatives and some scholars really

47:07

take a hard line against synthetic

47:09

relationships for people under the age

47:12

of 18. I really do think that it's

47:15

pretty basic. The most rewarding and and

47:17

stabilizing thing in life are uh

47:19

relationships, but organic

47:21

relationships. And these things are

47:23

sequestering young people from their

47:25

family and their friends.

47:36

>> Your final prediction here is that the

47:38

college is dead narrative will collapse.

47:41

God, this is just hilarious. All these

47:43

people saying college is over and you

47:46

don't need to have a college degree.

47:48

Anyone who's saying that usually has a

47:50

double E degree in masters from

47:52

Stanford. And the parents as I'm in the

47:55

full process around my kid applying to

47:57

college right now, whenever I hear

47:59

people saying that, I'm like, "Oh, your

48:01

kid [ __ ] up on the ACT and you're

48:02

trying to make yourself feel better that

48:04

they're not getting going to get into a

48:05

good school." Um there's just no

48:08

evidence that that in fact is the case.

48:10

And uh the the narrative is very

48:15

striking. You know, the number of people

48:18

who say college is very important, uh,

48:21

Republicans, it's gone from, get this,

48:23

it's gone from 70% in 2014 to 20%.

48:28

Basically, Republicans think that

48:29

college is no longer important. And yet,

48:31

anyone with any money is going to work

48:33

their ass off to get their kid into

48:34

college. And Google and Apple have all

48:37

made these big announcements that they

48:39

no longer require a college degree

48:40

because it should be skills based as

48:41

opposed to certification based, which I

48:43

agree and that's a great idea. But

48:45

meanwhile, their hiring hasn't changed

48:47

at all. Um, the number of workers

48:50

without degrees has increased a whopping

48:52

3 and a.5%. And half of firms have made

48:55

no changes at all. So, despin to the

48:57

fact that college supposedly has no

48:59

value, you're still seeing big firms who

49:02

are, you know, we

49:04

kids who come to school think they're

49:05

the customer. They're not. Corporations

49:07

are the customers of colleges. Kids are

49:10

the product. And the key is to get

49:12

corporations to show up and pay

49:14

incremental salary in exchange for an

49:17

admissions department that makes sure

49:18

the kid isn't mentally ill, has group

49:20

skills, critical thinking, and a little

49:22

bit of training. But that value is still

49:25

there. Now, that's not to say that white

49:27

collar workers aren't going to go

49:28

through a down cycle or new college

49:29

grads because of AI, but the down cycle

49:32

won't be as bad. I mean, there might be

49:34

an uptick in vocational programming, but

49:36

it's still a pretty good plan B. And

49:39

people have been talking about Bill

49:41

Gates and Mark Zuckerberg dropping out

49:43

of college to start these amazing

49:44

companies. And I just say the same

49:45

thing. Assume you are not Mark

49:46

Zuckerberg. And what we see is that over

49:50

time the average median household income

49:53

for two college grads is 133K. And the

49:56

medium the medium uh household income

49:59

for people with uh high school

50:02

educations is 58,000. And by the way,

50:04

last year it didn't change. Uh, and

50:08

people who graduate from college have

50:10

much lower divorce rates, 26% versus 39.

50:14

Lower obesity, 27 versus 34. Uh, 2/3 of

50:18

people who go to college get married

50:20

versus half of people without a college

50:22

degree. And men with a high school

50:24

education were twice as likely to die by

50:26

suicide versus those with a college

50:29

degree. And this is, you know, one of my

50:31

big social pushes is that if you had a

50:34

pill that increased the likelihood you

50:35

would get married, run for Congress,

50:38

have uh strong household income, and

50:41

decrease the likelihood you would be

50:43

obese, take your life, be abusive,

50:46

uh be subject to conspiracy theory, have

50:48

diabetes, wouldn't you give that drug to

50:50

as many people as possible? But instead,

50:52

we in higher education, who think we're

50:54

really noble, have decided to hoard this

50:56

drug and artificially sequester supply.

50:59

There's no reason that Dartmouth,

51:01

Harvard, and these schools with over a

51:02

billion dollars in endowments couldn't

51:04

double, triple, quintuple their

51:06

enrollments and actually pretend that

51:08

they're [ __ ] social servants or civil

51:10

servants as opposed to Chanel bags. So,

51:14

uh, what's happened this year, despite

51:16

college having no value, enrollments,

51:19

fall undergrad enrollments is up 4.7%.

51:22

Ed. So, uh, and by the way, it's the

51:24

southern schools and the public schools

51:26

that are booming. The problem is, see

51:28

above how [ __ ] corrupt me and my

51:29

colleagues are, is that public schools

51:31

have increased their tuition since 2000,

51:33

adjusted for inflation, by 53%. That's

51:36

adjusted for inflation, and private

51:38

schools are up 32% in the last 25 years,

51:40

adjusted for inflation. The good news is

51:43

we are seeing we've seen an 18% increase

51:45

over the last 5 years in trade schools.

51:48

That's a hopeful sign. But the notion

51:51

that somehow college doesn't matter. Uh

51:54

be careful with that. Um and I'm not

51:57

saying that your kid should go to a

51:58

secondary school and take out a bunch of

51:59

debt if he or she really isn't cut out

52:01

for school. But this whole narrative of

52:04

college is going away and you don't need

52:06

college anymore. Yeah. That that that's

52:08

that's [ __ ]

52:09

>> Those are all the predictions. Uh before

52:11

we go here, there was a final reflection

52:13

from one of the viewers who watched this

52:15

predictions live stream. Uh they say,

52:19

"This is the most depressing hour I have

52:21

spent in years because I am afraid that

52:24

Scott isn't wrong." What would you say

52:26

to that?

52:27

>> Well, my last slide was I think a lot

52:30

about risk in the markets and my life,

52:34

how risk aggressive I've been, and it's

52:36

paid such huge dividends in terms of

52:37

starting companies. Even if they failed,

52:39

I started again

52:41

expressing friendship, making overtures

52:44

to to women who were out of my weight

52:46

class. You know, my father's risk DNA. I

52:50

inherited some of that risk

52:51

aggressiveness from my parents who

52:53

decided to take huge risks and leave

52:54

their families in the UK. I think a lot

52:57

about risk and how I diversify against

53:00

risk now that I'm older and I don't want

53:02

to lose all my money for a third time.

53:05

Uh but I think that

53:08

unfortunately what we have is we've tied

53:10

our economy to trying to increase um or

53:14

decrease young people's risk aggression

53:17

around relationships. And that is we've

53:19

said you can get all of your risk

53:21

aggressiveness out on betting on sports

53:24

or on um who's going to win the mayoral

53:27

race or uh taking risks online by saying

53:32

really incendiary things and seeing how

53:34

people respond.

53:36

And that's the mis the one of the

53:38

greatest misallocations of a resource in

53:41

history. And what I would suggest to any

53:43

young person especially young men is

53:45

take less risks with your money. Try and

53:47

be more risk

53:49

risk averse with your money and try to

53:52

be much more risk aggressive with your

53:55

time and your relationships in that is

53:58

don't take as many risks with Kouchy,

54:00

Poly Market, Robin Hood and crypto and

54:03

take more risks by getting out of the

54:04

house and approaching strangers and

54:06

expressing friendship and expressing

54:08

romantic interest. That that's where

54:10

risk needs to really increase. take more

54:13

risks outside of the house and take less

54:15

risks on your screen. Nothing wonderful

54:18

is going to happen to you without taking

54:20

risks. But there's bad risks and there's

54:22

good risks in expressing friendship,

54:25

telling people you care about them,

54:27

[music] telling people you're interested

54:28

in them. Those are the good risks that

54:31

that young people need to take more of.

54:36

Thank you for listening to Profit

54:37

Markets from Profit Media. Tune in

54:39

tomorrow for a fresh take on the

54:42

markets. [music]

54:49

>> [music]

Interactive Summary

The podcast reflects on its successful 2025 performance, particularly the rapid growth of "Prop Markets" podcast, attributing it to its young audience and expansion to five daily episodes. The main segment features 12 predictions for 2026, covering a range of topics including the correction of AI stocks due to Chinese competition and data center bubble bursts, the siege of the Nvidia and OpenAI duopoly, Amazon as the top big tech stock pick due to robotics investment, and space becoming the next major tech sector. Other predictions include the controversial sale of TikTok US, the decline of Hollywood due to short-form video and AI, Waymo's lead in autonomous driving, the failure of humanoid robots, the rise of prediction markets as a vice, the societal impact and potential age-gating of synthetic relationships, and the collapse of the "college is dead" narrative, emphasizing the enduring value of higher education. The episode concludes with a call for young people to be more risk-aggressive in real-world relationships and less so with online gambling.

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