HomeVideos

Leaked: Trump’s Robot Exec Order - The Investment Opportunity of a Lifetime!?

Now Playing

Leaked: Trump’s Robot Exec Order - The Investment Opportunity of a Lifetime!?

Transcript

814 segments

0:00

If you hold any tech stocks, or any AI

0:02

stocks, or even just an index fund,

0:04

Tesla, Nvidia, semiconductor, whatever

0:06

it is, maybe in your private portfolio

0:08

or your 401k, what I'm about to reveal

0:11

could potentially multiply your wealth,

0:13

or it could leave you watching from the

0:15

sidelines as the biggest opportunity

0:20

of the next few years, that's how big

0:22

this is, is hitting us over the head.

0:24

According to political sources, Trump's

0:28

commerce secretary, Howard Lutnick, is

0:30

preparing an executive order on humanoid

0:34

robotics. And Morgan Stanley at the same

0:37

time puts out a timely 77-page

0:42

report

0:43

projecting a billion humanoid robots, a

0:47

five-trillion-dollar

0:48

market.

0:49

So, to me, this smells like the 100%

0:53

Trump trade that we enjoyed on the rare

0:56

earth stocks. Remember that video we did

0:58

on the rare earth stocks? They all

0:59

doubled or more than doubled. Now,

1:01

Winston's, of course, sniffed all this

1:03

research out, so say thank you to

1:05

Winston in the comments, but it's also

1:07

not just about the buying, it's about

1:09

knowing when to sell, because you look

1:11

at those rare earth stocks, they went up

1:12

like 170%,

1:14

right? All the ones we're talking about.

1:16

And then a lot of them are back to zero.

1:18

So, a lot of people are sitting there

1:19

with zero. The smart people, the trained

1:22

people, the skilled people locked in the

1:24

100-plus returns. And that's where I

1:26

want to get you to, and the only way you

1:29

do that, by the way, is by learning the

1:30

skills. So, I've got something for you.

1:33

First of all, there is a free workbook

1:35

that comes with this video, because

1:37

there's going to be a lot of

1:38

information. This is very

1:39

information-rich. Not quite 77 pages,

1:41

but quite a lot. And then for those of

1:43

you who are in our private community,

1:46

I'm also working on a humanoid robotics

1:49

research. We already got one on

1:51

robotics, but we're working on one on

1:53

humanoid robotics, literally the ETFs to

1:56

look at, the best companies to look at,

1:57

which stocks could be the real potential

1:59

ones, and and the whole thing explained

2:01

and put together. So, check that out.

2:03

There's a link down below to join the

2:05

free community, which is where you will

2:06

get the the the free workbook, which

2:09

will still be insanely valuable, and

2:10

then if you wish to take it another

2:12

level, you can also do that in there.

2:13

You don't have to, but you can. Now, if

2:14

you're wondering who this guy is

2:16

rambling on, my name is Felix Prehn, I'm

2:17

a former investment banker. I've spent

2:20

years studying how Wall Street actually

2:22

operates, and I'm also the founder of

2:24

the

2:25

where we've taught over 20,000 students,

2:27

also the co-founder of Trade Mission.ai,

2:29

where we provide Wall Street quality

2:31

news and data that's better than what

2:33

you've probably ever seen in your life.

2:36

And my whole retirement is now dedicated

2:39

to teaching regular investors, which is

2:41

what I used to be, and help you protect

2:44

your wealth from the schemes and the

2:46

shenanigans out there. Before somebody

2:48

kicks over, "Felix, looks like you're

2:49

working, you're not retired." Uh well,

2:52

you might need to learn a thing or two

2:53

about doing something that's actually

2:55

enjoyable, because to me this is

2:56

tremendous fun. This isn't work. So,

2:58

what we've done for this video is I

3:00

fact-checked everything. I've analyzed

3:03

the leaked report. I dove really, really

3:05

deep into

3:08

the 77 pages from Morgan Stanley on

3:10

humanoid robotics, and also dug deeper

3:14

into the national industrial strategy of

3:16

Trump, from semiconductors to rare

3:18

earths, now robotics, and of course

3:20

Winston did a lot of the the hard

3:22

sniffing there, as usual. So, I'm going

3:24

to break down for you these three

3:26

critical things.

3:27

One, the robotics revolution.

3:29

Morgan Stanley says this is the biggest

3:31

tech shift since smartphones. Literally,

3:33

forget the whole AI thing, it's all

3:34

about robots. And then Trump's national

3:37

strategy here, the exec order that could

3:39

accelerate this by like 10 years or

3:41

more. And then your portfolio. Like the

3:45

specific stocks, the sectors, and most

3:47

importantly, the rules to capture

3:50

some of this upside with the lowest risk

3:53

possible. There is always risk. Don't

3:55

blindly buy something because I'm

3:56

talking about it, that'd be daft, but

3:58

hopefully this will be the basis of some

4:01

of your research. So, scale, right? Let

4:04

me put this in perspective. Morgan

4:05

Stanley projects a billion humanoid

4:08

robots. That is one robot for every 10

4:11

people on earth. Now, the semiconductor

4:14

content alone, just the chips inside of

4:17

these will be a 300

4:20

billion-dollar market. It's 15% of the

4:23

entire global semiconductor industry.

4:26

But,

4:27

where it gets interesting is this. Tesla

4:30

is ramping up Optimus production to a

4:32

million units by the end of 2026. I know

4:36

Elon tends to exaggerate a little bit,

4:39

but still, it's going to be a lot of

4:40

units.

4:41

So, the average humanoid will contain,

4:44

and I wrote on the previous slide here,

4:46

$2,100 in semiconductors per robot, just

4:49

in the head.

4:51

But, they also have AI chips, vision

4:53

sensors, motor controllers. This is way,

4:56

way, way more complex than a high-end

4:59

car. A high-end car has about $1,800 of

5:03

sensors in there. So, the robots are

5:05

more complex, right? Much more complex.

5:07

So, how does it work? You need to

5:09

understand the basic economics before we

5:11

can look at actually the stocks that we

5:12

may want to buy or or or you know,

5:14

invest in. So, at the moment, it costs

5:17

about $68,000 to build one robot.

5:21

Now, that's going to drop to $40,000 by

5:24

2030, just because they're making more,

5:26

it's cheaper if you build more.

5:28

But, that is still cheaper

5:31

than a year of minimum wage labor in the

5:33

United States. Just let that sink in.

5:36

So, the operating cost

5:39

per robot is forecast to hit $2.60 an

5:43

hour

5:44

versus, you know, $15 to $20 plus

5:47

minimum wage laws, generally speaking.

5:49

And think about this, the robot will

5:51

work 24/7. You'll need very little

5:54

breaks, maybe for charging, and you'll

5:56

have no sick days, you'll have no

5:57

holidays, you'll have no pension plan,

6:00

you'll have no health insurance, right?

6:02

And

6:03

some of you might remember my September

6:06

17th video, then we can put a little

6:08

clip on there, the thumbnail or

6:09

something, um editor, please.

6:12

Um and I broke down the rare earth Trump

6:14

trade, right? We looked at stocks like

6:16

UUU, N B, USA. They rallied over 100% in

6:20

weeks after that happened.

6:23

I showed the opportunity. Now, some of

6:25

you made some serious money on that,

6:26

some of you made some money on it, some

6:27

of you lost it all, which was just a

6:29

question of, well, you didn't have the

6:30

skill about how to sell. And and that's

6:32

the problem, because you see, the

6:34

losers, they held too long, they watched

6:36

100% gains drop to almost zero right

6:40

now, whereas others made a lot of money.

6:42

So, the opportunity was real,

6:44

but without the selling rules, the gains

6:46

evaporated. So, this robotics trade is

6:48

setting up in the same way. I think the

6:50

opportunity is massive, just my humble

6:52

opinion, potentially bigger than the

6:54

rare earths, but if you don't have a

6:56

rulebook for taking profits, you're

6:57

going to watch your gains disappear,

6:59

just like those who held onto the rare

7:01

earth stocks too long.

7:02

Now, skills can be acquired, that's the

7:04

beautiful thing. You can learn it from

7:06

somebody, right? If you want to learn it

7:07

from my mentors, which is how I learned

7:09

it, I didn't learn it from a book or a

7:11

seminar or something, but from actually

7:13

real Wall Street traders who've done

7:15

this for decades, um then you're in

7:18

luck, because we're about to close the

7:21

doors on our flagship program, which is

7:23

called the Wall Street Protocol, which

7:24

is literally the protocol of how Wall

7:26

Street does it. And why we're closing

7:28

it? Because we want to make sure we can

7:30

look after the existing students. We're

7:31

going to take a breather and look after

7:33

the existing students there, but this is

7:34

probably the final chance, pretty sure

7:36

the final chance, to um actually enroll

7:39

in that for quite some time. So, if you

7:41

want to do that, you can book a free

7:42

strategy call with my team,

7:43

felixprehn.com/

7:45

freedom. So, I hope it's going to get

7:47

you to freedom. And it's a free call,

7:49

30-minute conversation, just to make

7:52

sure you have all the questions

7:53

answered, make sure this is the right

7:54

fit for you, make sure that learning

7:56

from my Wall Street mentors is what what

7:58

you want to be doing with your with your

8:00

time. Uh so, so check that out. There's

8:01

a link down below in the description for

8:03

that.

8:04

Now, let's take a step back, because in

8:06

the 1990s,

8:08

the internet created literally, well, I

8:11

say trillionaires, um

8:13

not quite, probably billionaires, right?

8:16

I we're we're we're we're we're we're

8:17

open to billion uh if I could spell it.

8:21

I got a bit excited there making the

8:22

presentation. But, only if you sold

8:25

before the dot-com crash. In 2008,

8:28

smartphones came out. Apple went from 12

8:30

to $200. A lot of people made money on

8:33

that, right? And then 2017, Bitcoin,

8:36

well, it went from $1,000 to $2,000, and

8:39

you could say some of the sellers won.

8:42

Yes, they did. It then went back down to

8:44

$3,000, and of course now it's come up

8:46

again, so long enough time frame for

8:48

that particular example it worked, but

8:50

for stocks that isn't always the case,

8:52

you see. Because often,

8:54

the early companies in a new technology

8:57

go bankrupt. Seriously. 90%

9:01

of all the new companies from a new

9:03

technology go out of business. Look at

9:05

the dot-com companies, look at the

9:06

companies that invented the car or the

9:08

EV companies, you know, it's it's about

9:10

that ratio. So, we tend to see this, we

9:13

make we have this massive tech shift,

9:15

which we're obviously right now, you get

9:16

the early adopters and make a lot of

9:17

money, the late adopters get crushed,

9:20

and then those with actual hardcore

9:22

selling rules, they get to keep their

9:24

gains. Morgan Stanley calls this a

9:26

pivotable a pivotal chapter, even, in

9:29

human history. So, the Trump executive

9:34

order could be the catalyst that

9:35

accelerates adoption by

9:39

10 years. But, most investors are going

9:41

to do what they always do, they're going

9:42

to buy and hold, which means they

9:44

typically get destroyed. Buy and hold,

9:46

by the way, it's brilliant. Buy the S&P

9:48

500, you can buy and hold that forever,

9:51

it's very likely to make you money. You

9:53

know, VOO or SPY or whatever. But, with

9:55

individual stocks, it doesn't

9:57

necessarily work because the company

9:59

could screw up. Management could be

10:01

rubbish. The product could get replaced

10:02

by a new innovation. So this is a

10:04

systematic trade. Buy and hold is likely

10:08

to get destroyed. Now others are going

10:10

to try to time the top. You can't. You

10:13

don't know it's the top until it's

10:14

behind you. And others will over

10:16

diversify, make it so complicated that

10:18

they'll be in 20 stocks or 50 stocks,

10:20

and they don't know what the heck it is,

10:21

and then they lose their gains. And

10:23

others will wait for CNBC to talk about

10:25

it, by which the story is probably over,

10:28

and then you become one of the late

10:29

guys. You become the exit liquidity. I

10:32

want to make sure today you're none of

10:33

those things. Again, I'm not telling you

10:35

what to buy. I'm just saying be

10:36

informed, right? So in my approach,

10:39

there is only one way that actually

10:41

works.

10:42

We position ourselves for the highest

10:44

best opportunities. We have a rule book

10:46

for selling. No hope, no guessing, just

10:49

an automated rule book, a system we can

10:51

use all the time. So if you want to

10:53

learn that, book a free call with us at

10:54

freedom financial.org/freedom. But back

10:57

to

10:58

Trump, and most importantly, how do we

11:01

position our portfolios to potentially

11:03

profit from this?

11:04

So big picture, billion robots, right?

11:08

But here is what most people don't

11:09

understand. And let me draw you a little

11:11

little chart on this. This is now. Here

11:13

is 2030.

11:16

And then here is 2050. Okay. So right

11:19

now we have 2,000 humanoid robots in the

11:24

world.

11:25

By 2030, that's going to be a much

11:28

larger number.

11:30

Morgan Stanley predicts 280

11:34

thousand such robots. So you get this

11:36

very, very nice growth curve up here

11:39

just over the next four years. That's by

11:42

the way a 140 X increase in robots,

11:46

right?

11:47

But what really happens after

11:50

2030? We get the crazy growth. And the

11:53

chart will not be able to this chart

11:55

this, but somewhere up here if you break

11:57

that up will be

11:59

the

12:00

1

12:02

billion robots, right? Crazy number,

12:04

right? Somewhere somewhere up there.

12:05

Doesn't fit on the chart. Now

12:08

why does technology start slow? By the

12:11

way, 140 X is slow. It accelerates after

12:13

that. So basically, the way this works,

12:15

if you if I zoomed out, it would be

12:17

this, and then it would increase like

12:19

that. All right. That's the growth story

12:21

here. There are three reasons. Tech

12:23

needs to mature. AI models have to wear

12:25

manufacturing scale. The prices need to

12:27

fall significantly for this to happen.

12:30

Society needs to accept robots. Do you

12:33

remember I remember distinctly I was a

12:34

teenager and the first people who had

12:36

mobile phones,

12:37

we called them names and and thought it

12:39

was incredibly offensive and rude.

12:42

My brother got a mobile phone. He got a

12:43

little stick from my parents.

12:45

And and and that was just what happens

12:46

with new technology, right?

12:48

You also need regulations. You need

12:50

safety standards and and all that stuff.

12:52

That's going to take some time. But once

12:54

the technology is proven around that

12:55

sort of 2030, 2035, prices are now below

12:59

human labor costs.

13:01

And the early companies have

13:03

demonstrated that this actually is a way

13:04

to to work and and and it can can can

13:07

make you more profitable.

13:09

So

13:10

you're then looking at the real growth,

13:12

right? So you're looking at

13:14

that installed base reaching that

13:16

billion dollars. It doesn't happen in

13:17

one year. Morgan Stanley thinks we're

13:19

going to ship about 90 million robots

13:21

per year, and that's how we get to that

13:23

billion dollar billion

13:25

number out there, right? So what's this

13:28

catalyst? What's the strategy here from

13:30

Trump? Well, what I just showed you

13:32

could happen five to 10 years faster

13:35

because rumor has it that

13:38

Trump is preparing the executive order

13:40

on humanoid robotics. And that's not a

13:42

random thing. It's part of a

13:44

comprehensive national industrial

13:46

strategy that Trump has been building

13:48

since he came into office, maybe even

13:50

before. And the first part of that was

13:52

the the Chips Act. Well, that was

13:55

obviously a Biden idea, but they are

13:58

using that money in a way that was not

14:00

originally envisaged, right? So they're

14:02

giving it to companies in a different

14:03

way.

14:04

But essentially what they're doing is

14:06

they're creating domestic fab

14:08

expansions, actually making them.

14:10

They're putting money into rare earth

14:12

production, literally investing in these

14:14

companies, guaranteeing them

14:16

prices to reduce overseas dependence,

14:20

and also basically twisting arm twisting

14:23

companies to build AI infrastructure,

14:25

data centers, power grids, AI chip

14:27

production in the US. And if you don't,

14:30

we're going to tariff you. If you do,

14:32

we're going to give you money. So it's

14:33

like a carrot and stick approach. So

14:36

these four pillars matter because

14:38

they're actually interconnected. You

14:40

can't build a humanoid robot without

14:42

semiconductors. You can't build a

14:43

semiconductor without rare earths. You

14:45

can't power AI without massive data

14:47

centers. It's an ecosystem. It needs to

14:49

work together, and Trump understands

14:52

this. He also understands that whoever

14:54

dominates robotics and AI and

14:57

semiconductors will dominate the global

15:00

economy both in terms of economy, but

15:02

also military, right? So this is not a

15:05

free market play. This is a national

15:07

strategy play by the US. Now we know

15:11

that the Department of Commerce is

15:12

meeting with tech CEOs. Department of

15:14

Transportation is setting up a robotics

15:16

work group. So this is government

15:18

industry coordination at the highest

15:20

level, and the executive order will

15:23

likely

15:25

include, and this is my humble opinion,

15:28

this is my guess essentially based on my

15:29

research, so don't take this as fact,

15:32

but they're going to be domestic

15:35

I should probably Let me let me type

15:36

this out cuz I appreciate nobody can

15:38

read my handwriting. Let me type this

15:40

out. That'll be more useful for you.

15:42

Domestic production

15:45

incentives. That could be tax breaks,

15:47

grants for US manufacturing.

15:49

But it has to be made local. And that's

15:51

the other thing. So they can do more

15:53

than just give incentives. They can

15:56

require US-made components, US-made

16:00

robots for government contracts. And

16:02

that's going to be a big, big, big

16:04

industry because I can tell you the

16:06

military, security services, rescue, all

16:10

that stuff is going to want a lot of

16:11

this. And they're also going to give

16:13

them, in my humble opinion, R&D funding.

16:16

Billions of dollars for robotics

16:19

research similar to the Chips Act. They

16:21

might take stakes in these companies.

16:23

They're also going to fast-track

16:25

regulation because this is about speed,

16:28

and other countries are faster. All

16:30

right, you know what I'm talking about.

16:32

They're going to hand out

16:34

military robot contracts. And that'll be

16:37

a carrot, basically saying, "Look,

16:40

we're going to overpay for these." And

16:42

that's how you can build out your

16:44

business as long as you build it in the

16:45

US. Essentially all of this

16:49

signals to private investors there is

16:52

money to be made here, right? Look at

16:54

what the Chips Act did to stocks like

16:56

Nvidia, AMD, TSM. TSM alone rallied like

17:00

a couple of hundred percent. We saw it

17:02

with the rare earths after Trump's

17:04

election, right? UUU NBU. So they're all

17:07

up 100% plus in weeks. So the robotics

17:10

executive order could create the same

17:14

outcome. And then institutional money

17:16

flows. And that's always what I track. I

17:18

always look at where is the

17:20

institutional money flowing because

17:23

that's what it's all about. Now Tesla is

17:26

definitely one of the stocks to watch

17:27

out for here because they are

17:30

possibly going to produce more robots

17:32

than anybody else by the end of 2026.

17:35

And why does that matter? Well,

17:38

let me take you back a little bit

17:39

deeper. Then we're going to look at it.

17:40

I'm going to give you a whole list of

17:41

stocks to look into here. But Tesla did

17:43

something in 2024,

17:46

very early.

17:47

They placed a massive order for

17:50

something called actuators, linear

17:53

actuators. You're going to hear a lot a

17:55

lot about this word.

17:56

They bought them from China. They are

17:58

the muscles of the robot. They control

18:00

the movement, right? So a massive order

18:03

means production is going to be ramping

18:05

up. So Tesla has an advantage because

18:08

they can manufacture at scale. They know

18:10

how to build complex products. Cars are

18:12

very, very difficult to build at massive

18:13

volume. A robot is basically a car

18:16

without wheels. It's got electric

18:17

motors. It's got batteries. It's got

18:18

sensors. It's got AI chips. It's got

18:20

power management. Tesla already does all

18:23

of that, right? So

18:25

the

18:26

Tesla Optimus here

18:28

is likely going to cost

18:30

20 to 30 thousand dollars. Now you might

18:33

think that's a lot, but

18:35

what is the minimum wage in the US,

18:37

right? It's more than that.

18:39

And a robot works 24/7, doesn't take a

18:41

break, doesn't call in sick. So the

18:43

payback period for a 30K robot is maybe

18:46

a year, right?

18:48

A little bit of maintenance, maybe a

18:49

little longer, but that's about it. Now

18:51

these robots are going to work in Tesla

18:53

plants first, in warehouses. Think

18:56

Amazon, Walmart, logistics companies,

18:58

right? All that kind of repetitious

19:00

task. They're going to do dangerous

19:02

jobs, mining, construction, all that

19:04

kind of hazardous space.

19:06

And

19:07

then they're going to be ultimately in

19:09

every home. And you might think that's

19:11

creepy and that's weird. I'm not going

19:12

to allow a robot into my home. Well,

19:14

people said the same thing about

19:16

electricity, the radio, television, you

19:19

know, most things. So

19:23

people are going to get used to it. It's

19:24

just going to take a bit of time. And

19:25

maybe you're going to get used to it a

19:26

little later than others, but it's it's

19:28

going to happen because most people

19:30

would actually have a happier life if

19:32

all the boring crap was done by a robot,

19:35

right? So

19:37

where are the opportunities then other

19:40

than

19:42

Tesla? Let me break it down for you to

19:44

five categories, from the highest

19:47

likelihood to the more speculative.

19:49

Category one is the brain, right? Think

19:52

about a robot. It's got to have a brain.

19:54

So, what is the brain of a robot? It's

19:57

the chips, right? So, you've got Nvidia,

19:59

their Jetson Orin and Thor chips, most

20:02

likely. These are specifically developed

20:04

for humanoid robotics. Every robot needs

20:06

AI processing and then Nvidia just

20:09

wins in this space. You have ARM. Every

20:12

robot uses ARM-based processors,

20:14

literally every single one for energy

20:15

efficiency. So, ARM gets a royalty on

20:17

every chip. It's a picks and shovels

20:19

play. So, there is there is ARM.

20:21

And then you have TSMC. They manufacture

20:24

the chips for Nvidia, ARM, and AMD. So,

20:28

doesn't matter who wins, these guys

20:30

benefit regardless. So, again, pick and

20:32

shovel kind of a play. Now, category two

20:35

is the vision. Robots need to see. They

20:39

need high-resolution cameras and

20:41

sensors, otherwise they're going to trip

20:42

over stuff and they're going to

20:44

hurt people. Sony here has a 53% market

20:47

share in image sensors. Their sensors

20:49

are in your smartphone and in your car,

20:52

they'll be in the robots. They have the

20:54

best technology for especially

20:55

low-light, high-resolution imaging. So,

20:58

Sony likely a big winner here. We then

21:00

have ON Semiconductor, ticker symbol ON.

21:04

Again, they make image sensors for

21:05

automotive and industrial applications,

21:07

very similar to robots, so they could be

21:09

a winner here.

21:10

Um there's also Ambrella, probably not a

21:13

stock you've heard of before. Let me

21:14

know if you've heard of ticker symbol

21:15

Amba before. They do vision processing

21:18

for AI edge computing. Very small

21:20

company, higher risk, potentially higher

21:23

upside. But just think about it, every

21:24

robot's going to have five to 10

21:26

cameras, front, rear, sides, depth

21:29

sensing. So, even if a camera is just 30

21:32

to 50 bucks each, that's you know,

21:36

$150 to $500 in in in cameras per robot.

21:40

Multiply that by millions of robots,

21:42

this is a multi-billion dollar market.

21:46

Third, you have

21:48

sensing and movement. Robots need

21:51

sensors so they can touch, they can

21:52

force, they can measure temperature,

21:54

they can position themselves. Now, there

21:56

are a couple of companies that do this

21:58

that stand out. Infineon is a European

22:00

company. Uh they're sort of a leader in

22:02

motor control, power management. There

22:05

is uh

22:07

Actually, there's ST as well. Didn't put

22:09

them in here, but it's ST

22:10

Microelectronics. There's Texas

22:12

Instruments, which

22:15

I think I might uh own some shares of, I

22:16

can't recall, but I I like the business.

22:19

Um they make analog chips. So, if you

22:20

have a washing machine, anything with a

22:22

switch on it, it's likely a Texas

22:24

Instruments chip in it. They also make

22:26

motor drivers and power management.

22:29

They also made my own

22:31

There was a student calculator, amazing

22:33

calculators. But anyway, they This is

22:35

the This is the growth part for them.

22:36

And then we have NXP Semiconductor, NXPI

22:39

is the ticker symbol there. Again,

22:40

automotive grade chips, robot control

22:42

systems. There are a bunch of others uh

22:44

we could look at um some overseas ones,

22:47

but I think this is probably enough of a

22:49

list here. Less sexy than Nvidia, I say

22:52

here, but every joint needs a motor

22:54

controller. It is the sort of pick and

22:55

shovels layer, a little bit lower risk.

22:58

And then

23:00

we didn't have the fourth layer,

23:01

actually, which um what happened to my

23:03

uh my fourth layer in here? All right.

23:05

I'll I'll write it out for you because

23:07

it would be a shame to miss that

23:08

information. I think we ran out of

23:10

slides or something. So, what is

23:12

category four? Category four is

23:15

integrators.

23:17

Weird words, I know. But basically,

23:20

these are the companies that actually

23:22

build the robots. So, who are they?

23:25

Well, at the top you have Tesla, right?

23:28

Million units by the end of next year.

23:30

That would be my my my highest

23:32

conviction play. There are some private

23:34

companies, which is not going to be

23:35

useful for you, but I'll write it down

23:37

in case they IPO. Figure AI is one. They

23:40

have backing by Microsoft, Nvidia, and

23:43

Bezos.

23:44

And we also have Boston Dynamics.

23:47

Hyundai is a big investor there.

23:49

We have Agility Robotics. Again, they

23:53

work with Amazon. Uh so, again, these

23:55

are IPO plays, the last three, not

23:56

particularly useful. So, hard to invest

23:59

in directly. So,

24:01

basically in that category, you've got

24:03

Tesla or well, you kind of got cast

24:05

Tesla. There isn't really much much

24:07

other choice there. And then we have

24:09

category five, which is another way of

24:12

playing this. And this is robotics ETFs.

24:15

And for some people, a lot of people,

24:16

that's going to be the smarter way of

24:17

getting exposure. Broad exposure, no

24:19

individual stock picking. Then I'll give

24:21

you a couple of them. Let's give you the

24:22

ticker symbols. Robo is one.

24:25

And then we have BOTZ,

24:28

bots, that's one. iShares has one, too,

24:31

IRBO. You're going to want to write this

24:32

stuff down, at least download the

24:34

workbook.

24:35

Diversification, less upside um

24:38

probably.

24:39

But what do you want to look at there?

24:41

Well, you want to look at

24:43

look for the lowest fees

24:46

uh and look at their holdings because it

24:48

might just be that it's all just Nvidia.

24:50

So, you can even look into that

24:51

yourself. So,

24:53

for me, yeah, I think I don't like the

24:55

word conviction really because I think

24:56

it's it's a bit like an STD um hard to

24:59

shake. Uh really, it's it's all about

25:01

where's the money flowing? So, I'm not a

25:02

big fan of that, but uh I think sort of

25:04

highest interesting place would be the

25:06

better way of phrasing that, would be

25:07

Nvidia because they make the brain. TSMC

25:11

make all the chips, no matter who wins.

25:13

Tesla, the only publicly traded company

25:15

that's actually going to build robots at

25:16

scale anytime soon. Sony for its vision

25:19

sensors. And then there is um Infineon

25:23

um TI for analog chips, motor control.

25:26

So, that basically would give you that

25:28

would be your only ETF. Again, I'm not

25:29

telling you to buy it, I'm just saying

25:30

that would be one way of playing this.

25:32

Um but the most important thing,

25:34

honestly, is that you learn when to

25:37

sell. People often put out this stuff,

25:39

scale out, don't sell all at once, all

25:41

that stuff. Um I would be more tempted

25:44

to just go with stops rather than this

25:46

random selling at random percentage

25:48

points. But the key thing here is that

25:51

you don't want to let a big winner turn

25:53

into a loser. So, this is not financial

25:55

advice, just some thoughts there. You

25:56

want to protect your gains so you keep

25:58

them because those are the rules that

26:01

protect you and make you make your

26:03

winners winners and and and rather than,

26:06

you know, keep them as losers. So,

26:09

timeline, this is the way I I'm seeing

26:11

this. I haven't got a crystal ball, but

26:13

it's what I'm seeing. I think

26:14

positioning before the exact orders hits

26:16

the the the mainstream media could give

26:19

us a nice rally. That might pull back.

26:22

Tesla is I think a very very interesting

26:24

play here with a ramp up. Um probably

26:27

supply chain is the biggest challenge

26:29

there because they are dependent on

26:31

Chinese supply chain at present. Uh

26:33

we're going to see a lot more

26:34

deployments in early 2027. We're going

26:36

to see a lot more competitors come out

26:37

of the woodwork. Mainstream is going to

26:39

start using 2028.

26:42

So, not just factories, but actually

26:44

just out there in the wild. And then in

26:47

2030, it's going to be like

26:49

the new mega trend. That's I think the

26:51

way they're seeing it. So, I think

26:52

there's potential for some significant

26:54

upside. It's not a promise. There is

26:56

risk with everything. I'm just going to

26:57

write this on here. There is risk. You

26:59

can lose all your money. Don't invest

27:01

money you can't afford to lose, right?

27:03

Um do your own research. Don't you

27:05

listen to some guy on YouTube. So,

27:08

action plan. Look at Have you got any

27:10

exposure to these companies already? Um

27:13

allocate some percentage to robotics

27:15

theme. It doesn't have to be 10 to 20%.

27:17

It can be some percentage. It could also

27:19

be zero. So, it's up to you, but what

27:21

I'm saying is don't go all in. Make sure

27:23

you got some selling rules. Monitor

27:25

what's going on out there. And then

27:27

learn the system that happens for every

27:29

mega trend, right? That's really what

27:30

happens again and again and again. The

27:32

market moves in patterns again and

27:34

again. Now, there are some risks on

27:36

here, again, something you might want to

27:37

look at. Tech delays, regulation,

27:40

foreign competition. Um

27:42

Nvidia and Tesla are already valued

27:44

pretty lofty. There's already some of

27:46

this expected, some of it is not. And

27:49

if we get a great big recession, who

27:50

knows?

27:52

But my opinion is the government's going

27:53

to keep spending, so it seems a little

27:54

bit unlikely. So, if you got some value

27:57

out of this,

27:58

go to the free community. Download

27:59

Download yourself the workbook. If you

28:00

want to get the full research report,

28:03

I'm still working on that, but that's

28:04

going to come out in the next couple of

28:05

days as well. Uh join the um

28:08

the premium community. There's a link

28:09

below the video as well to do that. And

28:12

um that's a that's a paid community

28:13

because you provide some tremendous

28:14

value there. And um

28:16

there is a robotics research report in

28:18

there already. But you got to keep

28:20

providing you guys value on that um

28:22

free and paid and otherwise. And um if

28:25

you want to take this to another level

28:27

and you want to actually learn the

28:28

skills and you may be frustrated with

28:29

the missing out on or losing some of the

28:32

big gains you've had this year, then

28:35

come and have a chat with us and see

28:37

whether learning the real rules from my

28:40

mentors, the people I learn from, the

28:42

people I look up to, could be the path

28:44

forward for you with each strategy, with

28:46

each execution. And

28:49

you can do that at

28:50

phoenixfriends.com/freedom.

28:52

There's a link down below. It's a free

28:53

call. And I wish you tremendous success.

28:55

And you got some value out of this as

28:56

well. Even share it with people. All the

28:58

best. Ever notice how money seems to

29:01

make more money after 100K? There is a

29:04

reason your wealth suddenly takes off

29:06

and has nothing to do with luck or

29:08

skill. Most people think the rich have

29:10

some secret access

Interactive Summary

This video discusses the potential rise of the humanoid robotics market, which is projected to reach five trillion dollars, and analyzes how upcoming political initiatives, specifically a rumored executive order by the Trump administration, could accelerate its adoption. The speaker outlines investment opportunities across various sectors—including artificial intelligence, semiconductor production, vision sensors, and motor controls—while emphasizing the critical importance of having disciplined selling strategies to secure gains. He warns against 'buy and hold' strategies for individual stocks in new technology sectors and advises viewers to perform their own research.

Suggested questions

3 ready-made prompts