Leaked: Trump’s Robot Exec Order - The Investment Opportunity of a Lifetime!?
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If you hold any tech stocks, or any AI
stocks, or even just an index fund,
Tesla, Nvidia, semiconductor, whatever
it is, maybe in your private portfolio
or your 401k, what I'm about to reveal
could potentially multiply your wealth,
or it could leave you watching from the
sidelines as the biggest opportunity
of the next few years, that's how big
this is, is hitting us over the head.
According to political sources, Trump's
commerce secretary, Howard Lutnick, is
preparing an executive order on humanoid
robotics. And Morgan Stanley at the same
time puts out a timely 77-page
report
projecting a billion humanoid robots, a
five-trillion-dollar
market.
So, to me, this smells like the 100%
Trump trade that we enjoyed on the rare
earth stocks. Remember that video we did
on the rare earth stocks? They all
doubled or more than doubled. Now,
Winston's, of course, sniffed all this
research out, so say thank you to
Winston in the comments, but it's also
not just about the buying, it's about
knowing when to sell, because you look
at those rare earth stocks, they went up
like 170%,
right? All the ones we're talking about.
And then a lot of them are back to zero.
So, a lot of people are sitting there
with zero. The smart people, the trained
people, the skilled people locked in the
100-plus returns. And that's where I
want to get you to, and the only way you
do that, by the way, is by learning the
skills. So, I've got something for you.
First of all, there is a free workbook
that comes with this video, because
there's going to be a lot of
information. This is very
information-rich. Not quite 77 pages,
but quite a lot. And then for those of
you who are in our private community,
I'm also working on a humanoid robotics
research. We already got one on
robotics, but we're working on one on
humanoid robotics, literally the ETFs to
look at, the best companies to look at,
which stocks could be the real potential
ones, and and the whole thing explained
and put together. So, check that out.
There's a link down below to join the
free community, which is where you will
get the the the free workbook, which
will still be insanely valuable, and
then if you wish to take it another
level, you can also do that in there.
You don't have to, but you can. Now, if
you're wondering who this guy is
rambling on, my name is Felix Prehn, I'm
a former investment banker. I've spent
years studying how Wall Street actually
operates, and I'm also the founder of
the
where we've taught over 20,000 students,
also the co-founder of Trade Mission.ai,
where we provide Wall Street quality
news and data that's better than what
you've probably ever seen in your life.
And my whole retirement is now dedicated
to teaching regular investors, which is
what I used to be, and help you protect
your wealth from the schemes and the
shenanigans out there. Before somebody
kicks over, "Felix, looks like you're
working, you're not retired." Uh well,
you might need to learn a thing or two
about doing something that's actually
enjoyable, because to me this is
tremendous fun. This isn't work. So,
what we've done for this video is I
fact-checked everything. I've analyzed
the leaked report. I dove really, really
deep into
the 77 pages from Morgan Stanley on
humanoid robotics, and also dug deeper
into the national industrial strategy of
Trump, from semiconductors to rare
earths, now robotics, and of course
Winston did a lot of the the hard
sniffing there, as usual. So, I'm going
to break down for you these three
critical things.
One, the robotics revolution.
Morgan Stanley says this is the biggest
tech shift since smartphones. Literally,
forget the whole AI thing, it's all
about robots. And then Trump's national
strategy here, the exec order that could
accelerate this by like 10 years or
more. And then your portfolio. Like the
specific stocks, the sectors, and most
importantly, the rules to capture
some of this upside with the lowest risk
possible. There is always risk. Don't
blindly buy something because I'm
talking about it, that'd be daft, but
hopefully this will be the basis of some
of your research. So, scale, right? Let
me put this in perspective. Morgan
Stanley projects a billion humanoid
robots. That is one robot for every 10
people on earth. Now, the semiconductor
content alone, just the chips inside of
these will be a 300
billion-dollar market. It's 15% of the
entire global semiconductor industry.
But,
where it gets interesting is this. Tesla
is ramping up Optimus production to a
million units by the end of 2026. I know
Elon tends to exaggerate a little bit,
but still, it's going to be a lot of
units.
So, the average humanoid will contain,
and I wrote on the previous slide here,
$2,100 in semiconductors per robot, just
in the head.
But, they also have AI chips, vision
sensors, motor controllers. This is way,
way, way more complex than a high-end
car. A high-end car has about $1,800 of
sensors in there. So, the robots are
more complex, right? Much more complex.
So, how does it work? You need to
understand the basic economics before we
can look at actually the stocks that we
may want to buy or or or you know,
invest in. So, at the moment, it costs
about $68,000 to build one robot.
Now, that's going to drop to $40,000 by
2030, just because they're making more,
it's cheaper if you build more.
But, that is still cheaper
than a year of minimum wage labor in the
United States. Just let that sink in.
So, the operating cost
per robot is forecast to hit $2.60 an
hour
versus, you know, $15 to $20 plus
minimum wage laws, generally speaking.
And think about this, the robot will
work 24/7. You'll need very little
breaks, maybe for charging, and you'll
have no sick days, you'll have no
holidays, you'll have no pension plan,
you'll have no health insurance, right?
And
some of you might remember my September
17th video, then we can put a little
clip on there, the thumbnail or
something, um editor, please.
Um and I broke down the rare earth Trump
trade, right? We looked at stocks like
UUU, N B, USA. They rallied over 100% in
weeks after that happened.
I showed the opportunity. Now, some of
you made some serious money on that,
some of you made some money on it, some
of you lost it all, which was just a
question of, well, you didn't have the
skill about how to sell. And and that's
the problem, because you see, the
losers, they held too long, they watched
100% gains drop to almost zero right
now, whereas others made a lot of money.
So, the opportunity was real,
but without the selling rules, the gains
evaporated. So, this robotics trade is
setting up in the same way. I think the
opportunity is massive, just my humble
opinion, potentially bigger than the
rare earths, but if you don't have a
rulebook for taking profits, you're
going to watch your gains disappear,
just like those who held onto the rare
earth stocks too long.
Now, skills can be acquired, that's the
beautiful thing. You can learn it from
somebody, right? If you want to learn it
from my mentors, which is how I learned
it, I didn't learn it from a book or a
seminar or something, but from actually
real Wall Street traders who've done
this for decades, um then you're in
luck, because we're about to close the
doors on our flagship program, which is
called the Wall Street Protocol, which
is literally the protocol of how Wall
Street does it. And why we're closing
it? Because we want to make sure we can
look after the existing students. We're
going to take a breather and look after
the existing students there, but this is
probably the final chance, pretty sure
the final chance, to um actually enroll
in that for quite some time. So, if you
want to do that, you can book a free
strategy call with my team,
felixprehn.com/
freedom. So, I hope it's going to get
you to freedom. And it's a free call,
30-minute conversation, just to make
sure you have all the questions
answered, make sure this is the right
fit for you, make sure that learning
from my Wall Street mentors is what what
you want to be doing with your with your
time. Uh so, so check that out. There's
a link down below in the description for
that.
Now, let's take a step back, because in
the 1990s,
the internet created literally, well, I
say trillionaires, um
not quite, probably billionaires, right?
I we're we're we're we're we're we're
open to billion uh if I could spell it.
I got a bit excited there making the
presentation. But, only if you sold
before the dot-com crash. In 2008,
smartphones came out. Apple went from 12
to $200. A lot of people made money on
that, right? And then 2017, Bitcoin,
well, it went from $1,000 to $2,000, and
you could say some of the sellers won.
Yes, they did. It then went back down to
$3,000, and of course now it's come up
again, so long enough time frame for
that particular example it worked, but
for stocks that isn't always the case,
you see. Because often,
the early companies in a new technology
go bankrupt. Seriously. 90%
of all the new companies from a new
technology go out of business. Look at
the dot-com companies, look at the
companies that invented the car or the
EV companies, you know, it's it's about
that ratio. So, we tend to see this, we
make we have this massive tech shift,
which we're obviously right now, you get
the early adopters and make a lot of
money, the late adopters get crushed,
and then those with actual hardcore
selling rules, they get to keep their
gains. Morgan Stanley calls this a
pivotable a pivotal chapter, even, in
human history. So, the Trump executive
order could be the catalyst that
accelerates adoption by
10 years. But, most investors are going
to do what they always do, they're going
to buy and hold, which means they
typically get destroyed. Buy and hold,
by the way, it's brilliant. Buy the S&P
500, you can buy and hold that forever,
it's very likely to make you money. You
know, VOO or SPY or whatever. But, with
individual stocks, it doesn't
necessarily work because the company
could screw up. Management could be
rubbish. The product could get replaced
by a new innovation. So this is a
systematic trade. Buy and hold is likely
to get destroyed. Now others are going
to try to time the top. You can't. You
don't know it's the top until it's
behind you. And others will over
diversify, make it so complicated that
they'll be in 20 stocks or 50 stocks,
and they don't know what the heck it is,
and then they lose their gains. And
others will wait for CNBC to talk about
it, by which the story is probably over,
and then you become one of the late
guys. You become the exit liquidity. I
want to make sure today you're none of
those things. Again, I'm not telling you
what to buy. I'm just saying be
informed, right? So in my approach,
there is only one way that actually
works.
We position ourselves for the highest
best opportunities. We have a rule book
for selling. No hope, no guessing, just
an automated rule book, a system we can
use all the time. So if you want to
learn that, book a free call with us at
freedom financial.org/freedom. But back
to
Trump, and most importantly, how do we
position our portfolios to potentially
profit from this?
So big picture, billion robots, right?
But here is what most people don't
understand. And let me draw you a little
little chart on this. This is now. Here
is 2030.
And then here is 2050. Okay. So right
now we have 2,000 humanoid robots in the
world.
By 2030, that's going to be a much
larger number.
Morgan Stanley predicts 280
thousand such robots. So you get this
very, very nice growth curve up here
just over the next four years. That's by
the way a 140 X increase in robots,
right?
But what really happens after
2030? We get the crazy growth. And the
chart will not be able to this chart
this, but somewhere up here if you break
that up will be
the
1
billion robots, right? Crazy number,
right? Somewhere somewhere up there.
Doesn't fit on the chart. Now
why does technology start slow? By the
way, 140 X is slow. It accelerates after
that. So basically, the way this works,
if you if I zoomed out, it would be
this, and then it would increase like
that. All right. That's the growth story
here. There are three reasons. Tech
needs to mature. AI models have to wear
manufacturing scale. The prices need to
fall significantly for this to happen.
Society needs to accept robots. Do you
remember I remember distinctly I was a
teenager and the first people who had
mobile phones,
we called them names and and thought it
was incredibly offensive and rude.
My brother got a mobile phone. He got a
little stick from my parents.
And and and that was just what happens
with new technology, right?
You also need regulations. You need
safety standards and and all that stuff.
That's going to take some time. But once
the technology is proven around that
sort of 2030, 2035, prices are now below
human labor costs.
And the early companies have
demonstrated that this actually is a way
to to work and and and it can can can
make you more profitable.
So
you're then looking at the real growth,
right? So you're looking at
that installed base reaching that
billion dollars. It doesn't happen in
one year. Morgan Stanley thinks we're
going to ship about 90 million robots
per year, and that's how we get to that
billion dollar billion
number out there, right? So what's this
catalyst? What's the strategy here from
Trump? Well, what I just showed you
could happen five to 10 years faster
because rumor has it that
Trump is preparing the executive order
on humanoid robotics. And that's not a
random thing. It's part of a
comprehensive national industrial
strategy that Trump has been building
since he came into office, maybe even
before. And the first part of that was
the the Chips Act. Well, that was
obviously a Biden idea, but they are
using that money in a way that was not
originally envisaged, right? So they're
giving it to companies in a different
way.
But essentially what they're doing is
they're creating domestic fab
expansions, actually making them.
They're putting money into rare earth
production, literally investing in these
companies, guaranteeing them
prices to reduce overseas dependence,
and also basically twisting arm twisting
companies to build AI infrastructure,
data centers, power grids, AI chip
production in the US. And if you don't,
we're going to tariff you. If you do,
we're going to give you money. So it's
like a carrot and stick approach. So
these four pillars matter because
they're actually interconnected. You
can't build a humanoid robot without
semiconductors. You can't build a
semiconductor without rare earths. You
can't power AI without massive data
centers. It's an ecosystem. It needs to
work together, and Trump understands
this. He also understands that whoever
dominates robotics and AI and
semiconductors will dominate the global
economy both in terms of economy, but
also military, right? So this is not a
free market play. This is a national
strategy play by the US. Now we know
that the Department of Commerce is
meeting with tech CEOs. Department of
Transportation is setting up a robotics
work group. So this is government
industry coordination at the highest
level, and the executive order will
likely
include, and this is my humble opinion,
this is my guess essentially based on my
research, so don't take this as fact,
but they're going to be domestic
I should probably Let me let me type
this out cuz I appreciate nobody can
read my handwriting. Let me type this
out. That'll be more useful for you.
Domestic production
incentives. That could be tax breaks,
grants for US manufacturing.
But it has to be made local. And that's
the other thing. So they can do more
than just give incentives. They can
require US-made components, US-made
robots for government contracts. And
that's going to be a big, big, big
industry because I can tell you the
military, security services, rescue, all
that stuff is going to want a lot of
this. And they're also going to give
them, in my humble opinion, R&D funding.
Billions of dollars for robotics
research similar to the Chips Act. They
might take stakes in these companies.
They're also going to fast-track
regulation because this is about speed,
and other countries are faster. All
right, you know what I'm talking about.
They're going to hand out
military robot contracts. And that'll be
a carrot, basically saying, "Look,
we're going to overpay for these." And
that's how you can build out your
business as long as you build it in the
US. Essentially all of this
signals to private investors there is
money to be made here, right? Look at
what the Chips Act did to stocks like
Nvidia, AMD, TSM. TSM alone rallied like
a couple of hundred percent. We saw it
with the rare earths after Trump's
election, right? UUU NBU. So they're all
up 100% plus in weeks. So the robotics
executive order could create the same
outcome. And then institutional money
flows. And that's always what I track. I
always look at where is the
institutional money flowing because
that's what it's all about. Now Tesla is
definitely one of the stocks to watch
out for here because they are
possibly going to produce more robots
than anybody else by the end of 2026.
And why does that matter? Well,
let me take you back a little bit
deeper. Then we're going to look at it.
I'm going to give you a whole list of
stocks to look into here. But Tesla did
something in 2024,
very early.
They placed a massive order for
something called actuators, linear
actuators. You're going to hear a lot a
lot about this word.
They bought them from China. They are
the muscles of the robot. They control
the movement, right? So a massive order
means production is going to be ramping
up. So Tesla has an advantage because
they can manufacture at scale. They know
how to build complex products. Cars are
very, very difficult to build at massive
volume. A robot is basically a car
without wheels. It's got electric
motors. It's got batteries. It's got
sensors. It's got AI chips. It's got
power management. Tesla already does all
of that, right? So
the
Tesla Optimus here
is likely going to cost
20 to 30 thousand dollars. Now you might
think that's a lot, but
what is the minimum wage in the US,
right? It's more than that.
And a robot works 24/7, doesn't take a
break, doesn't call in sick. So the
payback period for a 30K robot is maybe
a year, right?
A little bit of maintenance, maybe a
little longer, but that's about it. Now
these robots are going to work in Tesla
plants first, in warehouses. Think
Amazon, Walmart, logistics companies,
right? All that kind of repetitious
task. They're going to do dangerous
jobs, mining, construction, all that
kind of hazardous space.
And
then they're going to be ultimately in
every home. And you might think that's
creepy and that's weird. I'm not going
to allow a robot into my home. Well,
people said the same thing about
electricity, the radio, television, you
know, most things. So
people are going to get used to it. It's
just going to take a bit of time. And
maybe you're going to get used to it a
little later than others, but it's it's
going to happen because most people
would actually have a happier life if
all the boring crap was done by a robot,
right? So
where are the opportunities then other
than
Tesla? Let me break it down for you to
five categories, from the highest
likelihood to the more speculative.
Category one is the brain, right? Think
about a robot. It's got to have a brain.
So, what is the brain of a robot? It's
the chips, right? So, you've got Nvidia,
their Jetson Orin and Thor chips, most
likely. These are specifically developed
for humanoid robotics. Every robot needs
AI processing and then Nvidia just
wins in this space. You have ARM. Every
robot uses ARM-based processors,
literally every single one for energy
efficiency. So, ARM gets a royalty on
every chip. It's a picks and shovels
play. So, there is there is ARM.
And then you have TSMC. They manufacture
the chips for Nvidia, ARM, and AMD. So,
doesn't matter who wins, these guys
benefit regardless. So, again, pick and
shovel kind of a play. Now, category two
is the vision. Robots need to see. They
need high-resolution cameras and
sensors, otherwise they're going to trip
over stuff and they're going to
hurt people. Sony here has a 53% market
share in image sensors. Their sensors
are in your smartphone and in your car,
they'll be in the robots. They have the
best technology for especially
low-light, high-resolution imaging. So,
Sony likely a big winner here. We then
have ON Semiconductor, ticker symbol ON.
Again, they make image sensors for
automotive and industrial applications,
very similar to robots, so they could be
a winner here.
Um there's also Ambrella, probably not a
stock you've heard of before. Let me
know if you've heard of ticker symbol
Amba before. They do vision processing
for AI edge computing. Very small
company, higher risk, potentially higher
upside. But just think about it, every
robot's going to have five to 10
cameras, front, rear, sides, depth
sensing. So, even if a camera is just 30
to 50 bucks each, that's you know,
$150 to $500 in in in cameras per robot.
Multiply that by millions of robots,
this is a multi-billion dollar market.
Third, you have
sensing and movement. Robots need
sensors so they can touch, they can
force, they can measure temperature,
they can position themselves. Now, there
are a couple of companies that do this
that stand out. Infineon is a European
company. Uh they're sort of a leader in
motor control, power management. There
is uh
Actually, there's ST as well. Didn't put
them in here, but it's ST
Microelectronics. There's Texas
Instruments, which
I think I might uh own some shares of, I
can't recall, but I I like the business.
Um they make analog chips. So, if you
have a washing machine, anything with a
switch on it, it's likely a Texas
Instruments chip in it. They also make
motor drivers and power management.
They also made my own
There was a student calculator, amazing
calculators. But anyway, they This is
the This is the growth part for them.
And then we have NXP Semiconductor, NXPI
is the ticker symbol there. Again,
automotive grade chips, robot control
systems. There are a bunch of others uh
we could look at um some overseas ones,
but I think this is probably enough of a
list here. Less sexy than Nvidia, I say
here, but every joint needs a motor
controller. It is the sort of pick and
shovels layer, a little bit lower risk.
And then
we didn't have the fourth layer,
actually, which um what happened to my
uh my fourth layer in here? All right.
I'll I'll write it out for you because
it would be a shame to miss that
information. I think we ran out of
slides or something. So, what is
category four? Category four is
integrators.
Weird words, I know. But basically,
these are the companies that actually
build the robots. So, who are they?
Well, at the top you have Tesla, right?
Million units by the end of next year.
That would be my my my highest
conviction play. There are some private
companies, which is not going to be
useful for you, but I'll write it down
in case they IPO. Figure AI is one. They
have backing by Microsoft, Nvidia, and
Bezos.
And we also have Boston Dynamics.
Hyundai is a big investor there.
We have Agility Robotics. Again, they
work with Amazon. Uh so, again, these
are IPO plays, the last three, not
particularly useful. So, hard to invest
in directly. So,
basically in that category, you've got
Tesla or well, you kind of got cast
Tesla. There isn't really much much
other choice there. And then we have
category five, which is another way of
playing this. And this is robotics ETFs.
And for some people, a lot of people,
that's going to be the smarter way of
getting exposure. Broad exposure, no
individual stock picking. Then I'll give
you a couple of them. Let's give you the
ticker symbols. Robo is one.
And then we have BOTZ,
bots, that's one. iShares has one, too,
IRBO. You're going to want to write this
stuff down, at least download the
workbook.
Diversification, less upside um
probably.
But what do you want to look at there?
Well, you want to look at
look for the lowest fees
uh and look at their holdings because it
might just be that it's all just Nvidia.
So, you can even look into that
yourself. So,
for me, yeah, I think I don't like the
word conviction really because I think
it's it's a bit like an STD um hard to
shake. Uh really, it's it's all about
where's the money flowing? So, I'm not a
big fan of that, but uh I think sort of
highest interesting place would be the
better way of phrasing that, would be
Nvidia because they make the brain. TSMC
make all the chips, no matter who wins.
Tesla, the only publicly traded company
that's actually going to build robots at
scale anytime soon. Sony for its vision
sensors. And then there is um Infineon
um TI for analog chips, motor control.
So, that basically would give you that
would be your only ETF. Again, I'm not
telling you to buy it, I'm just saying
that would be one way of playing this.
Um but the most important thing,
honestly, is that you learn when to
sell. People often put out this stuff,
scale out, don't sell all at once, all
that stuff. Um I would be more tempted
to just go with stops rather than this
random selling at random percentage
points. But the key thing here is that
you don't want to let a big winner turn
into a loser. So, this is not financial
advice, just some thoughts there. You
want to protect your gains so you keep
them because those are the rules that
protect you and make you make your
winners winners and and and rather than,
you know, keep them as losers. So,
timeline, this is the way I I'm seeing
this. I haven't got a crystal ball, but
it's what I'm seeing. I think
positioning before the exact orders hits
the the the mainstream media could give
us a nice rally. That might pull back.
Tesla is I think a very very interesting
play here with a ramp up. Um probably
supply chain is the biggest challenge
there because they are dependent on
Chinese supply chain at present. Uh
we're going to see a lot more
deployments in early 2027. We're going
to see a lot more competitors come out
of the woodwork. Mainstream is going to
start using 2028.
So, not just factories, but actually
just out there in the wild. And then in
2030, it's going to be like
the new mega trend. That's I think the
way they're seeing it. So, I think
there's potential for some significant
upside. It's not a promise. There is
risk with everything. I'm just going to
write this on here. There is risk. You
can lose all your money. Don't invest
money you can't afford to lose, right?
Um do your own research. Don't you
listen to some guy on YouTube. So,
action plan. Look at Have you got any
exposure to these companies already? Um
allocate some percentage to robotics
theme. It doesn't have to be 10 to 20%.
It can be some percentage. It could also
be zero. So, it's up to you, but what
I'm saying is don't go all in. Make sure
you got some selling rules. Monitor
what's going on out there. And then
learn the system that happens for every
mega trend, right? That's really what
happens again and again and again. The
market moves in patterns again and
again. Now, there are some risks on
here, again, something you might want to
look at. Tech delays, regulation,
foreign competition. Um
Nvidia and Tesla are already valued
pretty lofty. There's already some of
this expected, some of it is not. And
if we get a great big recession, who
knows?
But my opinion is the government's going
to keep spending, so it seems a little
bit unlikely. So, if you got some value
out of this,
go to the free community. Download
Download yourself the workbook. If you
want to get the full research report,
I'm still working on that, but that's
going to come out in the next couple of
days as well. Uh join the um
the premium community. There's a link
below the video as well to do that. And
um that's a that's a paid community
because you provide some tremendous
value there. And um
there is a robotics research report in
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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.
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