The AI Super-Cycle Has Begun — You Have 1 Year To Get UNFATHOMABLY RICH! | Chris Camillo
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Chris Camillo argues that a massive AI super-cycle has begun, presenting it as a unique opportunity for individuals to achieve significant wealth within the next year if they are willing to take calculated risks. He contrasts this current environment with the dot-com bubble of 1999-2000, noting that while money flowed quickly into internet companies then without immediate productivity gains—leading to a bust—the AI revolution is characterized by rapid enterprise adoption and tangible efficiency improvements happening now. Camillo asserts that the market's volatility stems from its inability to handle unknowns like artificial intelligence, but he believes investors can find "ground truth" amidst the noise because the fundamental value creation in AI is real. He emphasizes that unlike previous eras where wealth was tied strictly to pedigree or capital, this new gold rush belongs to anyone willing to adopt quickly and create, marking a potential reset of how future ownership works. Central to Camillo's investment thesis is Amazon, which he identifies as the single biggest beneficiary of the AI efficiency wave due to its massive logistical moat that cannot be easily replicated by competitors or China. He believes Amazon is currently spending too little on capital expenditures (CapEx) relative to the potential gains from integrating robotics and automation into their global supply chain, creating a significant information asymmetry for investors who understand this tailwind better than Wall Street analysts do. Beyond Amazon, Camillo highlights Bloom Energy as another high-conviction hold that solves the critical bottleneck of energy availability for data centers; he notes that while nuclear power is a theoretical long-term fix, Bloom's technology allows immediate deployment to support hyperscalers' insatiable demand for compute without relying on strained public grids. He also discusses China's aggressive national mandate in AI and robotics as both a threat due to their willingness to play dirty with lower ethical thresholds and an opportunity where they are catching up rapidly by adopting Western entrepreneurial spirits. Camillo explains that the biggest misunderstanding about modern AI is viewing it merely as autocomplete; instead, he describes today's Large Language Models (LLMs) and agentic agents as possessing genuine intelligence capable of solving nuanced problems without simply retrieving data from a dataset. He illustrates this power with personal anecdotes where an AI analyzed his entire video scripting style to generate reports in minutes that would take humans months, or restructured complex business ventures based on new podcast host styles in 30 seconds. This capability extends to automating tedious administrative tasks like tax preparation and financial analysis, freeing up human time for creative pursuits. He predicts that legacy apps relying solely on plugins will disappear as agentic AI gains direct access to user data—such as banking information—to provide hyper-personalized services, rendering companies like Duolingo or budgeting tools vulnerable if they cannot integrate with these smarter agents. Regarding career stability and the future of work, Camillo advises focusing on industries that possess strong "moats" such as regulatory barriers in healthcare, distribution networks, data exclusivity, brand reputation, and trust-based relationships, which AI will struggle to penetrate quickly. While acknowledging that certain repetitive jobs face automation risks, he remains optimistic about an age of abundance where the pie grows larger rather than shrinking through creative destruction alone. He also touches on a counter-cultural trend emerging alongside high-tech adoption: a growing human desire for offline experiences and physical assets like collectibles (e.g., Pokémon cards) as people seek to escape digital friction and reconnect with interpersonal interactions. Ultimately, he concludes that while some will fail in this transition due to gambling-like behavior or an inability to adapt, the majority of society is maturing into prudent investors who can leverage these technological shifts to build wealth through a combination of high-conviction stock picks like Amazon and Bloom Energy alongside new opportunities for individual creators using agentic AI stacks.
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The $20,000 that I initially invested
has generated roughly $80 million of
returns over the past 17-18 years.
If you're not willing to take real risk,
you're simply never going to get rich
quick.
>> [music]
>> What do you know that others don't about
AI? So many people misunderstand [music]
what AI actually is. But I've never felt
more confident about the AI [music]
trade than I do today.
I think the next billion-dollar company
can be built by a single person without
any employees.
This is the first [music] time where the
future is not necessarily owned by those
with the most [music] money or the best
education.
It's owned by anyone that's willing
[music] to adopt quickly and create. I'm
calling it like the great reset. So then
what advice would you give our viewers
[music] so they can capitalize on this
information? This is a very different
gold rush for this generation. The
window is [music] very small. So if
you're young and you've been complaining
because you did not have any
opportunity, you just got it.
Chris Camillo, thank you so much for
coming on the Ice Coffee Hour. Yeah,
happy to be back, guys. In mid-November,
we had you on the podcast and that
specific day one of your all-time
favorite stocks was tanking. And you
walked in and you coolly said, "I just
bought another million bucks today."
While I was absolutely panicking because
I was losing a lot of money. And then
that exact stock plummeted even further.
It went down from 100 that day to $70,
where you took a levered position in the
stock. And everyone was calling you
insane like they usually do.
And then of course, like you usually
are, you were absolutely right because
now it's at an all-time high of around
$150 a share. So you basically doubled
your money. Had you guys watched that
episode 3 months ago, you would be up
50%
on that one stock that we discussed that
episode.
>> also be up over 200% on your initial
call of Robinhood when it was $38 a
share and you said your one regret was
not having more money to invest in more
Robinhood.
Yeah, that's all true.
Um
I'm fully margined. So there's no more
money left to invest at this point.
Well, the reason why we wanted to bring
you on is because you were absolutely
correct with all of these predictions
and also the market is at a very scary
place right now. It does not seem like a
confident market. Like every day it's a
coin toss up or down and it's usually by
quite a big amount. There doesn't seem
to be any consistency in the market,
either. It also seems like the fear
index is at a very strong fear level
even though we're only like 1% from
all-time highs.
>> [gasps]
>> So the market hates unknowns. We know
that, right? Like more than anything
else, the market
does not know how to handle
unknowns. And there's never been a
larger unknown in the history of the
market
in our lifetime than artificial
intelligence.
It really doesn't matter how pedigreed
you are, how much money you manage.
I don't care if you're at the top of the
food chain in Silicon Valley in
technology.
Everybody has differing opinions on how
this is going to play out and that's a
scary place to be.
So it does make sense that we're having
this volatility. However,
I think there's an opportunity for
investors
to get to the ground truth, maybe not in
terms of what's going to happen in 10
years, but in terms of what's happening
right now because there's so much noise
in the market and so much confusion that
people are just panicking and the
reality is
there's a fairly good amount of
transparency as to what's happening
right now with artificial intelligence
if you know where to look and you're
willing to actually
spend the time cutting through the noise
and and finding that ground truth. So
while everyone is absolutely panicking,
you're digging your heels in. And I'm
curious, what do you know that others
don't about AI?
Yeah, I I I've never felt more confident
about the AI trade than I do today.
And uh most of that is based on what
I've seen surface over the last, I would
say, you know, 2 weeks. You guys are
probably familiar with what's been
happening with the generative AI.
Uh there's been some really big new
products uh that have surfaced.
OpenClaw is is probably the biggest one.
Uh I'm seeing things today that I didn't
think I would see for at least another
year.
And AI has started to accelerate late
rapidly in terms of its actual uh
integrated adoption and its use cases
and its productive value
uh inside of enterprise and small
business and for personal use. So a lot
of the question marks that I think
existed just a couple months ago are
gone now as it relates to AI.
>> What was the biggest question that you
think people had and what is the answer
to that question?
>> Well, I think the two biggest
misunderstandings about AI, one is that
we're in this bubble and everybody likes
to relate it to the dot-com bubble,
which I was intimately involved with. I
was young.
I was
living in LA, working at a dot-com.
And I remember it like it was yesterday,
but there's a very big difference
between what unraveled in 1999 and 2000
and what's happening today in AI.
Back then,
Wall Street and the world saw the future
of what the internet could be and likely
would be. And all the dollars flowed
very quickly into enterprise to fund
that. However, it didn't evolve quickly
enough, right? So it took the internet
like 15 years for us to start to see the
type of productivity and the type of
efficiencies and the type of
acceleration that we knew would be
possible. Um the money was invested
many years earlier and it just took too
long to play out. So we weren't able to
see the productivity increases. We
weren't able to see the step-ups in
revenue generation from internet
companies quickly enough and
that I think is a large part of what led
to the dot-com boom busting. Does it
worry you though right now that the top
10% of households are responsible for
50% of the spending? No, not at all. Um
I think that's a totally separate issue.
I I think
you know, the main difference that I'm
discussing is
AI has the opposite problem of what
happened during the dot-com boom in that
the acceleration of enterprise adoption
of artificial intelligence is moving too
quickly. Now that presents other issues
like potentially, you know, the
systematic destruction of humanity,
which is a possibility.
That's bad
if it happens.
Um
but I because it's moving so quickly,
we're starting to see
rapid adoption of massive amounts of
productivity and efficiency in the
business world. Um I've never seen
anything like this in my life. I didn't
think it was possible. Okay? So
all of the things that led to the
dot-com bubble busting
are actually happening
but in the opposite way right now.
>> How could that be shared equally and how
do you ensure that the top 1% don't get
99% of the productivity gains? I can't,
but that will always take care of
itself. So the the issue that you're
surfacing
is potentially very real,
but that always
I think that has a way of taking care of
itself through politics, through
regulation, through
taxation.
Uh
there are an infinite number of policies
that we can adopt if if this plays out
in that way.
And my assumption is that we will figure
it out.
Because if we don't figure it out, yes,
well, there'll be people wanting to
overthrow the government and nobody wins
in that scenario, right? So you just
have to assume that we'll figure it out,
but I think I think you're jumping way
too far ahead.
>> Mhm. The big issue that everyone has
with AI that's causing the instability
we're seeing right now is
is it a bubble or is it not a bubble?
Well, I don't think it's a bubble
because we are actually seeing the
things that we need to see in terms of
productivity and revenue generation
uh
to ensure that there's value in the
money that's being spent. Now,
we're always going to have a a degree of
creative destructionism, right? In the
dot-com bubble, it was pets.com. We're
going to have lots of pets.coms
of the artificial intelligence
revolution, right? There'll be a lot of
creative destructionism, a lot of
wrappers that will go bust, a ton of
overspending on the wrong companies.
That's natural. That's to be expected.
But I don't think we will see the type
of massive bubble burst just based on
this not being real enough quick enough.
But the other big issue, and I think
this is very real and very important,
and I think this is part of the reason
why
we might ultimately have an issue with a
very small concentration of companies
and people
are getting the bulk of value out of
this is because so many people
misunderstand
what AI actually is. Um, they just think
it's an autocomplete because quite
honestly a couple of years ago, it kind
of was an autocomplete. Right? That's
not what it is today. So,
if you were to give today's LLM or any
of the agentic agents and any of the
agentic AIs that are out there right
now,
a nuanced problem, uh a a a a a a a a a
a a a a a a a a a a a a problem that it
has never seen before, okay? A problem
that it can't just go dig up an answer
and serve it to you like Google would.
It's able to actually extract
a solution to the problem without simply
just pulling it from a data set today.
And if you want to understand how it's
doing that, all you have to do is ask
it, right? Say, "That's incredible. How
did you actually solve that problem for
me?" And it will show you how the
problem solved, okay? Um, and we get
really confused because we think this is
not really intelligence because it works
a little bit different than the way our
minds work. In fact, we don't fully
understand the way our minds work and we
still today don't fully grasp 100% of
how some of the AI is working today.
But this is critically important because
you know, a plane doesn't like flap its
wings like a bird. We used to think to
fly, to gain altitude you'd have to flap
wings, right? A plane doesn't do that,
but does a plane fly? Yes, of course it
does.
Um, you know, all compute
uh all technology
is based on zeros and ones, very simple
things, right? So, when you have these
very simple things and you apply massive
amounts of scale to simplicity,
you get complexity,
right? That is able to do things that
you never thought would be imaginable
with what you started off with, zeros
and ones. Same thing with human biology
and living life with, you know, at
everything's an atom, right? Uh very
simple,
but the complexity once you bring
massive amounts of scale to that very
simple thing gives us all of life.
Do we fully comprehend how we get from
here to here? No, but it happens. And
so, a lot of the pattern recognition
that artificial intelligence is based on
seems like it's fake to us,
but it's very real and very important.
Um,
and
it
we can't quite comprehend just how
powerful that pattern recognition is
going to be in a few years.
So, I think once you understand those
two things,
you become a bit more relieved that the
of the realness of this.
Yeah, someone was showing me yesterday
a YouTube channel that was completely
AI.
And if I watched this channel, I'd have
no idea it was AI.
I was actually blown away by it.
I was shocked.
And so, what I did right afterwards is I
bought Claude, whatever the most
expensive one was,
>> Yeah. and I uploaded 25 of my scripts to
Claude and I had it analyze every single
stylistic approach that I've taken to
videos, every nuance, every joke,
everything. And it gave me a whole
20-page report on exactly how I script
my videos down to every detail. And just
for fun, I had
uh another program do deep research. I
put that into Claude and it gave me a
script back in 5 minutes that was
probably
90% as good as what I would do sitting
here for 8 hours. Now, it's not perfect,
but that to me was remarkable that this
thing got it down 90% in a few minutes.
Cuz I remember a while ago, years ago, I
put out a notice on my Instagram. I said
I'm looking to hire a script writer
uh and I was willing to pay $100,000 a
year.
Couldn't find anyone that did it in my
voice and I figured I'm just going to do
it myself. But this replaces what would
have been $100,000 a year. If someone If
someone was able to do this 5 years ago,
I would have paid them for it. Would you
say it's even better than what you would
have likely been able to hire for
$100,000 a year? Yes. Okay. Oh, yeah.
And it's nearly instantaneous.
Yeah, you just give it any topic 24/7
and it and it does a good job.
Again, it's not perfect. And if I were
to read this off as my own words, it
just didn't sound me and it sounded a
little robotic, but
I'm sure at some point it'll get there.
It's the worst it will ever be. I I'm
launching a fairly
uh complex venture and I had a 24-hour
period to get a business brief to the
management team of a potential podcast
host for this venture that would be the
marketing arm.
And I got home late night after being
out. My wife and some friends and I had
been drinking and my head wasn't exactly
straight, but I had to deliver this the
next day. I went into a side bedroom and
I just rambled off into ChatGPT for 45
minutes a bunch of weird random ideas of
what I wanted to be in this business
brief.
There were points where I didn't even
speak for 2 and 1/2 minutes and I I
don't even know how it understood what I
was saying, quite honestly. It put out
the equivalent of like a six-page
McKinsey-style brief. I was actually
stunned. Now, what's even more
interesting is um things didn't work out
with that podcast host and I
sought out another podcast host that had
a completely different style. It would
have not only have changed the style of
the podcast, but potentially the brand
and the venture itself.
So,
I asked uh the AI
if it was possible to kind of rethink
the entire format of the podcast and the
business and the venture and the
marketing and the branding based on this
one other person that had a very unique
style. And what it
did for me, I it actually melted my
mind. I couldn't believe it. And I I
mean, it came up with an entirely new
format and I didn't understand how it
was able to assess the nuances of this
content creator's style so much and how
to bridge that into a very complicated
business venture and still have it be
seamless with the venture's ultimate
objectives,
but completely change the venture
positioning and the branding and the
marketing and the podcast
and how it would be filmed and what the
skits might look like.
And it did it in 30 seconds. And I said,
"I have to understand how you did this.
Please, Doc, I I want to know exactly
how you did this because what you did
does not seem possible to me for an AI."
And it it wrote like a three-page brief
showing me all the steps that it took.
And when I read this, I was like,
I honestly, guys, I
it was one of those moments where I
could not believe what I was reading.
The
The degree that this used reasoning,
okay,
and nuance to kind of figure out these
problems and to map these problems and
then figure out how to sew them together
in in like this seamless new package for
me for a complicated business venture
in 30 seconds is something that I would
spend months on with a team of people
and probably not accomplish even
remotely as well as the AI did for me in
30 seconds. And this is just one use
case for one individual person with a
business venture.
Now, extrapolate that across every
single business and problem on Earth.
Like that's happening today, not in 5
years, today.
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thing that I did a while ago on ChatGPT
was I asked it to write a joke in the
style of a few different comedians. Now,
obviously, this is like what you just
explained, but like a very basic level,
and it is phenomenal. Like you could ask
for the exact same joke delivered in Tim
Dillon style or Theo Von style or Chris
D'Elia style or Andrew Schulz style and
it totally accurately does the exact
same joke in their styles, which I
thought was phenomenal. I should have
asked how it was able to determine the
tone. On the topic of ChatGPT, if
someone has a limited budget, which
subscription services should they pay
for and at what level? It really depends
on your use case.
I think for most people,
it actually doesn't matter that much.
Um whether you use Gemini or whether you
use ChatGPT,
we're talking about like the $20 level.
For most people, that's completely fine.
For anyone that's actually doing any
sort of deep research, business
analysis, that's actually
starting businesses, running a business,
even if it's a small one, um
you should probably pay up for like a
$200 a month style subscription.
>> one? How do you know which one to
purchase?
>> Well,
again, it it it really depends on your
use case. And and right now today,
everything has changed in the last 2
weeks. So, I guess I just answered the
question as if we were doing this show 2
weeks ago. But the reality is today,
now that we live in a world of agentic
AI, not every AI company has put out
their full agentic AI stack. So, today
Anthropic has put out something that
that they call
a co-work, right? And Anthropic co-work
essentially gives you the ability not
just to run a prompt, uh but to actually
have numerous agents. It's like having a
multitude of employees, and you simply
tell it what you want to do, and it will
have
five, six, seven agents. One will be
running a marketing department, one will
be running a tech stack for you, and it
will piece together all the things that
it needs to piece together in order to
accomplish any task or any goal that you
have, and it will work 24 hours a day,
right? So, it's not just like putting in
a prompt and waiting for an answer, and
then copy and pasting and doing it the
way we've been doing it through ChatGPT
the last couple of years.
Now,
there is another way to do this, which I
think most people are adopting the last
couple weeks, and you've probably heard
of Open Claw,
right? It's gone through a few different
naming changes,
but this is essentially the same thing,
except it's open source. It's not run by
a big model, and because it's open
source, it's completely free. So,
everyone's going out right now and
buying Mac Mini you know, Mac Minis, and
they're basically running Open Claw, and
you don't have to be a technologist to
do this. Anyone in the world can do this
really easily. You just simply tell it,
"Hey, I want to start this business.
How do I do this? What do I need to do?"
And you set up Open Claw with its own
email account. You set it up with its
own social media accounts. You set it up
with its own credit card, if you want,
with its own limits. Uh it has it's its
own person, and it runs on a Mac Mini,
and the reason why you want to run it on
a Mac Mini is because it's new and
because it's open source, so the safety
standards aren't really there yet. So,
it becomes an employee, and in fact, it
can become an employee that's managing
five or six or seven or eight employees,
because it will create other agents
inside of itself to do an infinite
number of things. So, it will actually
run a business for you from A to Z on
its own, and that's what's been
happening the last 2 weeks.
>> To me, it just doesn't seem feasible
that you could tell it this idea, like I
want to make this app that does this,
do it.
That it'll actually go and like make the
app and put it on the app store and
charge your card for it, and like how
how? Graham, it's doing all of it. I
know it This is why I haven't slept in 2
weeks. I mean, this is
why I initially missed the first, you
know, when we were supposed to be doing
this show a couple days ago, and I just
didn't even realize cuz my life is this
crazy. I can't keep up with the
technology the last couple weeks. So, um
you know what I do as an investor. I
essentially spend 4 hours a day
dissecting thousands and thousands of
comments on videos to try to surface
change in the world, right? Cultural
shifts, consumer behavioral shifts, and
then I try to connect the dots of that
change to investable opportunities in
the stock market, and that's what a
social arbiter does. That's what I've
been doing for 18 years.
Um there are a lot of people that follow
me, obviously, and um there are at least
six people that I know of in the last
week that have set up uh Open Claw boxes
and said, "I want you to replicate
everything that Chris Camillo does." And
a few of these people have actually put
the results and and have shown it
working
uh on X, and it works 24 hours a day
doing everything that I do. So, it
actually goes into TikTok, and it starts
watching videos. It runs through
comments. It knows what words to look
for. It knows to look for words like
sold out everywhere, obsessed. Um so, it
understands my methodology, and it knows
what to search for on TikTok, and then
it scans comments, and then it evaluates
what's trending in real time, and then
it extrapolates what might be a good
investment to make. This was done in 48
hours.
They basically replicated 18
just voice prompting, "Hey, can you
replicate what Chris Camillo does at
research me?" And then it started it
started a company, and it started doing
this in real time. And so, I'm just one
very niche individual with a niche um
business, right? It can do this for any
business in the world. In fact, like
this is
this is the most exciting piece of this
in that I'm calling it like the great
reset, okay? And I'm so excited for
because there's so much negativity
around AI right now. Everything that you
just talked about with so much of the
benefit of AI getting concentrated to
one class of people,
>> [sighs and gasps]
>> it doesn't have to be that way. This is
the first time in my lifetime where the
future is not necessarily owned by those
with the most credentials or the most
money or the best education.
Um it's owned by anyone, anyone in the
world that's willing to adopt quickly
and create. So, you know, Gen Z has been
complaining for a long for a very long
time, and they have a they have a valid
complaint that they don't have the
opportunity that, you know, boomers had,
right? And we could all agree that to an
extent, the pathway for them isn't as
clear. They could spend a lot of money
on education and still end up with no
job, in debt, and no clear pathway to
success and financial freedom in their
life.
Well, right now,
anyone in the world
that is willing to adopt and create can
do what I just told you, because for the
past 20 years,
if you wanted to start a business, you
would have to raise money,
you would have to build a team, you
would usually have to understand
technology, or have to communicate what
you were trying to build through a
technologist, and it would take a lot of
time. There's a tremendous amount of
risk involved with all of that, and
because of that, most of the world's
problems did not mandate starting a
business to fix them.
Because even if you had the solution to
a problem,
the cost of actually implementing that
solution was way too high for that
particular problem. So,
the business wasn't viable.
Now, every single solution to every
single problem in the world is
theoretically viable.
So, there are millions, tens of millions
of nuanced problems throughout every
industry, every sector, even in people's
personal lives.
>> [sighs]
>> Every single one of those problems is
solvable with AI, for the most part.
And all you have to do is surface the
problem,
and have the wherewithal
to go out and adopt and spend 2 or 3
days of your life learning how to use
these tools, and you do not have to be a
technologist.
>> How do you start learning about these?
What's the first step?
>> First step, you go on TikTok, you go on
the search bar, you type in the word AI,
and you filter down for videos that have
come out in the last week,
and you just watch 40 of them.
That's it. Then you go on to X,
and you essentially do the same exact
thing, and there are numerous people,
hundreds and hundreds of people, that
are excited to show you how to use this
tool and get ramped up in 24 hours as a
complete newbie that has no
technological background, okay? You do
not need to know how to do anything.
I'll give you a very specific example,
okay?
Um
you can pick any business, an HVAC
business, a sprinkler business. There
are millions of these businesses.
Almost none of them are willing to
embrace AI right now. You can simply go
to one of them and say, "Hey, I'm an I'm
an AI guy.
Give me one area where your leaking
money, one area where your business is
leaving money on the table, and I'm
going to fix that for you
for free."
And they might say, "Hey, we
are slow to react to phone calls that
come in late at night.
Uh sometimes we don't respond to them at
all, or by the time we respond to them,
they've then contacted one of our
In 24 hours, you can set up an AI agent
that will
uh
answer those calls, send out immediate
automated text responses,
then uh get that person signed up uh and
get them a quote bid in next to real
time.
It you can have it integrate with every
single service that that business uses
currently. It could input into their
CRM, okay? It could email all the people
within the business that need to know
about that, including the business
owner.
You can set that all up within days for
that business at essentially very close
to no cost.
You just fixed a huge problem for them.
You might increase that company's
revenue by 5 to 15% in 2 or 3 days.
Immediately, you become invaluable. And
you just probably picked up a client
that will pay you 2 or 3,000 dollars to
be their AI guide to fix all their other
problems. You can replicate that across
10 or 20 other businesses and probably
make half a million dollars a year.
There are people right now doing this.
They just started in the last week.
Historically, like during the dot-com
boom, the gold rush was trying to pick
the right company to work for. I was
part of that.
If you pick the right company, you get
your stock options and 2 or 3 years
later, you're a millionaire, even if
you're 22 years old. And I had so many
friends that were that age that became
millionaires overnight because they
picked the right company. You picked the
wrong company,
maybe you end up with nothing.
>> [sighs and gasps]
>> This is a very different gold rush for
this generation. It's not about who they
pick to work for.
They have to do it on their own,
but the opportunity is near infinite.
The difference is the window is very
small.
So, you have to do it right now, like
this year, not like in 6 months, not in
9 months, but like today. So, over the
course of the last week, I've probably
gotten 15 calls from people in my
network that told me they were about to
quit their job. Some of them were 23,
24, some of them were in their mid-30s,
some of them were in their 40s.
Because they
got a box, they got a Mac mini, they got
this set up, and they said, "Chris, I
can literally start any business in the
world and have it running in 48 hours.
I've never seen anything like this."
Every hour matters. I cannot give up
hours. I must quit my job. So, if you're
young and you've been complaining
because, you know, the world was jaded
against you and you did not have any
opportunity, you just got it. So,
one-word answer, should every single
person, at the end of this podcast, not
right now, but at the end of this
podcast, buy a Mac mini and download
Open Claw?
No. Okay. So, not everybody. For anyone
that is willing to adopt and create.
Yes, you should do that tomorrow. Would
you say the highest leverage AI for the
average person out there, not for a very
specific person, but the average person,
would be Open Claw, would be number one,
and then maybe just a basic Gemini or
ChatGPT or something like that?
I wouldn't think of it like that.
First of all, they're all changing every
week. So, whatever we decide on today is
going to be different in 3 or 4 weeks.
They're all evolving their models. They
all do things slightly differently. If
you want to have an entire company
operating 24 hours a day, then you have
to have agentic AI. You have to have
agents.
>> So, if you look at the monitor that is
being used for this Open Claw agent AI
thing, it's literally just like windows
that are scrolling and then clicking
buttons and then creating a Gmail
account.
>> think of it like that, exactly.
Yes. Simultaneously. You wake up You'll
wake up in the morning and you could see
everything that it's done for you over
the course of the night. And you can
communicate back and forth with it. It
will even help you decide what the best
business is for you to start.
Right? So, based on things that are
happening in your city, based on your
interest, based on your expertise, based
on your relationships, on your contacts,
it will help you figure out what would
be the best business
for it to start for you.
>> And the difference between Open Claw and
something like ChatGPT is that ChatGPT
doesn't really have a true memory. That
is correct? But Open Claw sort of
actually can compound exorbitant amounts
of data and synthesize the data and then
act on the data. So, what Open Claw can
do is it can document and then store,
right?
>> The same way that you guys do. This It
will have documents. It has files. It
creates things and then it saves them in
files. So, now you have that. It's not
just living, right? As part of an index
that an AI has to tap into, it literally
creates regular files on a regular
computer, just like you do. It works
just like a human does. If it needs to
make phone calls, it will make phone
calls for you. It will create a voice
and it will make the phone calls if you
give it the ability to do so and if you
allow it to do so. There are people out
there that have amazing ideas, but they
don't have the resources, the money, the
network, the team, the technical
know-how.
None of that matters anymore.
We are going through a great reset where
if you have an idea on your head and you
are willing to adopt and you want to
create,
you can do it right now for the first
time ever
in history.
This week. Like People are
There are people that understand this
cuz every phone call I take, the people
are borderline in tears when they speak
to me. They're like, "Chris, have you
seen
Do you understand what's happening right
now? Do you understand what I just built
last night?
I cannot believe it." Like this is every
conversation I have with someone that's
building on agentic AI right now. There
are actually no words to describe how
mind-melting the capabilities are
because you no longer have to like
go through all these systems and all
these blockages that you used to in the
past. I've been an entrepreneur my
entire life. I want to do a billion
things. I did like a very small number
of them
because of
of all the friction involved with going
from an idea to a product.
There's
virtually no friction anymore. I know
it's hard to believe, but there's like
virtually no friction with so many of
the least these digital ideas. You know
what this does remind me? I I have this
feeling that I've had the last 2 weeks
and I haven't felt it since the early
days of COVID.
February 2020 is the last time my body
felt like this, where it was like
a very small number of people know about
something
and like the entirety of the rest of the
world is just going on with their life
and you're like, "Why isn't every single
human on Earth talking about this right
now?"
>> [sighs and gasps]
>> I really was excited to dive into the
Epstein stuff when it finally came out
and it's came out the last 2 weeks. I
have not spent 1 minute of my day
reading Epstein stuff,
watching the videos. Like I see the
headlines
and I'm like, "I don't even care about
it anymore." I was so waiting for this
to happen. Like I wanted to go down the
rabbit hole of seeing like all the truth
and who's involved
and I don't even care. And I think once
you know what's happening, you just
you're oblivious to everything else
happening in the world. I haven't
watched TV in 2 weeks. I haven't like I
haven't done anything other than this.
And I think all the people that are in
this world that are either building with
AI agents right now or have friends that
are building that they're watching or
who are hyperactive in this community on
X
are like they can't think about anything
else cuz they're like, "Dude, this is
like the biggest thing that's ever
happened in our life and we don't even
know where it's going next." Like we
don't even know Like you saw what
happened to the SaaS companies. Mhm.
Like that's because a handful of people
on institutional Wall Street are in
these are in this world and they're
seeing this and they're like,
"Holy crap, this is happening."
Like okay, we we can make a case that a
lot of these SaaS companies have massive
amounts of security and massive amounts
of learning over 20 years and they're
not going to be just displaced, but wow,
are they going to be disrupted the next
5 years because you can There's so many
options now. You can have your agents
basically replicate most of that stuff
on the fly. And it might not work for a
big company that has to, you know,
be a be aware of the code base and it
has to make sure it's maintainable and
has to make sure that the security is
tight and, you know, has
50,000 things that they figured out with
with Salesforce over the past 20 years
that they're not going to go through all
that just with a
agentic AI app that does 80% of it or
90% of it.
They're just not going to do it. They're
not going to take that risk.
But,
if there are parts of their company that
they could not have
on that CRM anymore or new companies
that they're spinning out that aren't as
like
it's going to meaningfully impact these
companies.
And really quick, here's what I noticed.
February always seems like the right
time to slow down. The weather is
colder, everything seems a bit quieter,
and it's a good time to take care of
yourself and also the people that you
care about the most. That's why I am so
excited about our sponsor Cozy Earth
because their entire goal is to make
everyday life feel noticeably better.
Their bamboo pajama set made from
viscose from bamboo is incredibly soft.
It's very lightweight and it feels just
incredibly cozy. What I like most about
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drapes really well and it's the type of
pajamas that you actually look forward
to getting into at the end of the day.
And the extra weight blanket is exactly
what you want this time of year. It's
plush, has a comforting weight to it and
instantly makes your couch or bed feel
so much more inviting. What really makes
Cozy Earth stand out is the quality.
Everything feels very intentional and
it's really made to last. Like it's
something that improves your day-to-day
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so it just goes to show you how much
they stand behind their product. So this
February, I hope you take the time to
take care of yourself and the people
that you love the most. Cozy Earth
really does make everyday moments that
much more comfortable and I'm going off
script here because I just got to say
it. Their bed sheets are the most
comfortable bed sheets I have ever
experienced in my entire life, even
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love with comfort that makes the little
moments count. Because you have your
finger on the pulse and you know exactly
what's going on. I'm curious, how has
this expressed itself in terms of your
own investing style for this year?
Because I remember also you were at 70
million, now you're at 8 mil 80 million.
So you've probably cleared 10 million
dollars
relatively recently with your investing.
And I imagine a good amount of that is
Bloom
and then there's some other stuff. I'm
curious like how has it materialized in
terms of your portfolio? My account's
volatile. I've lost a lot of money in
the last 2 weeks. It has not been a good
last couple of weeks.
And
I've had to go deeper into margin to
double down on what I believe are very
high conviction bets that I'm making
right now. And this is no secret. I'm
very open with my large trades. Bloom
has been one of them for a long time.
Uh [gasps]
Amazon is my new biggest trade.
I know you literally just said on your
podcast, you're like, I just bought
another medium-sized house of Amazon
right now after buying three
medium-sized houses yesterday and
Amazon.
>> three more since then. Yeah.
>> gosh. So What do you see in Amazon that
other people don't? Because I bought in
this morning.
196.
He's proud of himself cuz I think he
made $3 a share after he bought in at
$196.
>> which is 201.
>> And then it went up 196. A friend of
mine brought me to the Dallas Open
tennis match. His niece was there. She
was 11 years old and she had saved up
$500.
And she was thinking about investing for
the first time. So obviously they asked
me, you know, talk to her, what should
she do?
>> [snorts]
>> She was thinking she would take $50 of
the 500
to invest.
I looked at her straight in the eyes. I
said,
if I were you, Weekly calls in Amazon.
>> [laughter]
>> 500 and then you get margin for another
500. 50 bucks and all the money. Well,
her dad was right next to her and he
heard all this.
And I said, if I were you, I would take
the whole $500 and I would tell your dad
to borrow $500 of margin, that way you
can invest $1,000 with your $500
and put all of it into Amazon on Monday.
And she [laughter] her eyes got so wide.
I was like, I think if you do that,
there is a better than 50/50 chance you
will make four times your money in the
next 2 or 3 years, maybe even better. So
that $500 can turn into $2,000 or more.
So if you're right, then you'll get like
a oh, that's [clears throat] awesome.
Thanks so much. And if you're wrong,
it's like daddy, where did my money go?
Like I don't see it. And dad's like,
sorry, Well, no, hold on. Hold on. Hold
on. I told her,
I said, there [snorts] is a very small
chance
that this [clears throat] could go bad.
Let's call it 1 or 2%.
And you might lose all of your money.
But you're young, you'll make it back.
So if I'm telling you there's
better than a 50/50 chance that you can
make four times your money
or there's only a 1 or 2% chance, in my
opinion,
that you might lose all of your money or
most of it,
does that sound like a good bet to you?
And she said, yes.
And
I really what I wanted her to do was
start thinking in probabilities.
And I wanted her to start thinking about
expected outcomes because that's
something that investors do not do
because our brains do not really
allow us to analyze risk properly
because we we generally are also risk
adverse. So we can't make rational
decisions about probabilities and
outcomes.
But like that was that I she was 11. But
but by the way, part of this is that she
was 11. If she was 70,
I would not have said that to her. And I
told her, I was like, you will make that
$500 back in the worst of all worst-case
scenarios. In fact, I will admit
something. Before we left, I said, hey,
I really want you to do this.
If you lose all the money, I will pay
you back all of it myself. And the dad
was like, now that's a deal you should
take.
And I said, but
in the 1% chance that you lose all your
money,
>> [gasps]
>> I might be in really bad shape, too. So
as long as I have the $500 to give you,
I will personally give you that $500
back. Why do you continue to take these
potentially life-altering bets when one
can argue that you've already made it?
If you already have all of this money
saved up and yet you're digging your
heels in more and more and taking on
more margin and more margin, the quality
of your life will not vary if you are
right. But it absolutely will if you're
wrong.
But two reasons. One, part of it's the
game. I've been in this game a long
time. It's fun. I want to see what I can
do.
>> Yeah, he is. But he's like a smarter
Togi. Togi's the person we're having on
next who is maximum like degenerate
gambler. But you're an educated Yeah,
no, I'm not about that.
Um
part of it is it me I I have a mission
and an an objective of what I'm trying
to accomplish with my investment
account, right? You guys know this. I
have a foundation. I'm passionate about
my founda- foundation for kids,
uh for animal welfare and elder care. I
want to build it into a billion-dollar
foundation. There's no way that I'm
going to have a billion-dollar
foundation unless I
take big risk around high conviction
thesis that I have. And are you doing
this in that account as well? Uh I'm not
allowed to, unfortunately. So
once the money gets in my foundation, I
have to be relatively conservative. I
can't even borrow on margin. So what I
do is
I I I ball in my regular account
and then
I give money to my foundation. So I grow
it as aggressively as I can in my
regular account and I have and in my
private businesses and then I donate to
the foundation and then it has to grow
relatively conservatively which is so
annoying, by the way.
If I was able to invest in the
foundation account like I do in my
normal account, I would have 4xed it
over the past, you know,
4 years since I started it, 3, 4 years.
>> So you probably have maybe like say 70
million in your charity account and then
you have like 10 or so personally that
>> I I don't talk about exact numbers.
Yeah.
>> Okay. But
I'll just say and when you say 80
million, just to be very clear, um the
$20,000 that I initially invested has
generated roughly 80 million dollars of
returns over the past 17, 18 years. So
then you have to take taxes, then you
have to take life expenses. And as I've
discussed with you guys before,
I take the bulk of my money out every
year that I make and I invest it in
private companies. I'm invested now in
almost, you know,
170 early stage companies over the past
17 years which is the biggest investment
mistake I ever made because I don't
generate outsized returns on those
private companies. So I no longer do
that. I no longer invest in early stage
companies because my returns are
generating north 70% annualized over the
past 17, 18 years. And why would I take
money out of a public portfolio that's
generating 70 plus percent annualized
returns and put them into private
companies that's generating returns
between, I don't know, 10 and 15%
portfolio average. It took me a long
time to realize the mistake I was making
and to stop doing that.
I don't regret doing it because I met so
many amazing people over the past 17
years, hundreds of founders, interesting
people, had a lot of fun along the way
and it really expanded my network and
and my horizon in terms of the things
that I'm involved with.
But if I was smart and about the money
side of it, I would have done nothing
but social arb trade on my phone.
>> And you argue that most people should
have an allocation in their portfolio
for what you call risk assets.
If you were to define
what percentage people should have in
risk assets and what exactly is a risk
asset, that'd be great. Also, Graham,
what percentage of your portfolio is
{quote} risk assets?
Do you include a Bitcoin ETF in that?
Probably. What How would you define
a risk asset? I call it the big money
account. It's the You know, everyone has
this like I'm going to get rich slowly
attitude, which is awesome. I think it's
a great attitude to have. Compound your
money over time. It's relatively low
risk and high likelihood that you will
get rich over time if you follow those
simple rules. But almost no one has an
account that they can invest more
aggressively like wealthy people do
day-to-day, right? You have to have Like
the Russians say, no champagne without
risk. If you're not willing to take real
risk,
you're simply never going to get rich
quick. So, there's no reason not to have
that account. Uh
the account should be different for
everyone. It depends on your goals in
life. Some
>> a fully separate account? You would You
would recommend like It really doesn't
matter. All depends on your your ability
to
>> [sighs]
>> be regimented. Yeah, compartmentalize.
Compartmentalize. For me, it's not
separate. I think for a lot of people,
maybe it should be separate.
Um and it depends on how important it is
to you. I don't think it's money that
you should put in from your own wallet,
though. I think it's money that you
should find from making trade-offs in
your life, right? So, if you think about
every dollar is a hundred dollars, all
of a sudden you start finding money all
over the place. You're clipping coupons,
you're you know, washing your own car
instead of taking it to the car wash.
You're just making trade-offs in your
life to save a dollar here, twenty
dollars there. Every time you make a
trade-off,
you know, make your coffee at home, take
the money you save and put it in your
big money account. That's the money you
take big risks with. That's the money
that you make investments that might go
to zero
or might do something spectacular.
Um
you need to have that account because
the rich just keep getting richer and
richer because they all have that
account.
Every wealthy person has that.
People that are not wealthy don't think
they're allowed to have that and that's
just a terrible mindset. You have to
have that account.
>> percentage do you think is worthwhile?
It's not It's not If you're making
trade-offs, it just organically grows
from zero.
So, it's how many trade-offs are you
willing to make in your life when you
start thinking about every dollar is a
hundred dollars. Are you willing to skip
the coffee at Starbucks
for three hundred dollars cuz that
three-dollar coffee is three hundred
dollars if you invest it aggressively
and you get a little bit lucky.
So, would you not go to Starbucks for to
three hundred dollars a day? Probably.
For three dollars, maybe not. See See,
when you start thinking of every dollar
like a hundred, it changes the entire
game and you're finding money
everywhere.
So, it starts to get really exciting
because you're starting with five bucks
and that account gets to grow really
large.
And it's because
you're now
thinking like a wealthy person thinks.
You're You're investing in startups. You
know, you're investing in options.
You're investing in I don't know. I'm
not a crypto guy, you know that, but if
you want to do crypto, fine.
But you're investing with leverage. So,
for me, I maybe have ten or so percent
of my portfolio that's in {quote} risk
assets. And by that, it's mostly just
like Robinhood stock and Bitcoin,
basically, is what my ten percent is,
which might be less than ten percent I'm
seven to eight.
Seven to eight percent?
>> Yeah, but that's really just a Bitcoin
ETF. Yeah, that's So, it's mostly just
Bitcoin, realistically, and a couple
other single stock picks outside of Very
I mean, that that is a small percentage.
It's different for everyone, guys. It's
not about what percentage of your
capital is there, it's about how you
think about that capital. And if all the
capital that ended up in the big money
account was capital that was other
people's money and that you won through
a trade-off in your life, then you're
not worried about losing it. If it's
money you pulled from your kids' college
savings, and we should talk about
college in a minute, but if it's money
that you're pulling from a retirement
account, you're going to feel really
guilty buying stock options with it.
>> Yeah. And it's not responsible. What
jobs are going to be completely
annihilated from this? Like I was
talking to a buddy who was thinking
about becoming a lawyer and my first
thought was, well, that's going to be
replaced in five years. Like why go to
school for that? Yeah, um certain
There There is a reck- kind of a
reckoning coming. We kind of have this
like this this
transformational period.
And it is a little scary to think about,
but we really shouldn't be that scared
about it. Uh there are jobs that are
where there's a lot of automation or
doing the same thing over and over again
or it's simple intelligence
that will just get cut.
Um however,
if you're working in an industry If
you're trying to figure out what
industry is going to be safer,
um industries where there's a moat. So,
there could be a data moat, a
distribution moat, a regulatory moat
like healthcare or finance.
Um where AI is not going to be permitted
to just come in and you know, rapidly
take over the entire industry.
Um there are also moats when it comes to
brand.
Um there are moats as it relates to
people's relationships. There are trust
moats. So, you have to ask yourself,
is this profession or is this company or
is this career path
is there a viable moat that will help
protect it from AI moving too quickly
to displace everybody within this
sector? So, just think about all the
things I talked about like regulatory,
distribution, data, reputation, trust,
relationships, brand. Those are all
really meaningful moats
and you should be thinking about how you
leverage those moats for yourself
because I think if you have a brand, if
you have great relationships,
if you're in an area where people trust
you,
AI's not going to displace you easily.
So, it's not all scary.
And by the way, there are new jobs that
will come out of this AI revolution.
There are new industry sectors that will
pop up out of it. We're already seeing
it, right? Like it's not just like
everybody pulling from the same pie. The
pie is going to get bigger and bigger
and bigger over time, right? So,
industry will get bigger. Opportunity
will get bigger. I just told you there
are millions of companies that all need
an AI guy right now. The same way
millions of companies all needed a
social media person back in the day.
They all needed a search marketing
person back in the day. The difference
is
that with agentic AI,
every single person could be that
person. All you have to do is spend a
few days watching some videos and
learning and you're in. You're done.
What about the movie industry? I saw one
on X recently where the this person did
this entire AI like three-minute trailer
and it looked incredible. It's like this
lady in New York and all of a sudden
it's like bomb comes and hits and she
gets in a Cybertruck and drives around.
And they're saying this was a two
hundred million dollar movie that was
created in a day for minimal cost.
Another moat is taste, obviously.
And I saw that same clip. I thought it
was pretty horrible.
I thought visually that was impressive
what it could do. Would you Would you
watch the movie?
Uh Just Just objectively, if you didn't
think it was AI. So, don't even think it
was AI. Just like would you watch it?
No, but that was because the Cybertruck
had engine sounds and it just to me that
took me out of it. It's inevitable
that video AI is going to take over
everything and all of our cinema, right?
It It It that will happen. It It's
almost a guarantee that will happen in
time. We soon will theoretically have
user-generated content for every single
product in the world. And that
user-generated content might eventually
be customized just for you, Graham, or
you know, just for you.
Um it
Where we can go with this, who knows?
Like I think it's really important for
us not to try to think about where we're
going to be in seven or eight or nine
years because there's too much happening
right now right this second.
In fact, getting back to your question
about why Amazon,
this AI efficiency wave, I think, might
be the last big generational investing
opportunity
um within the AI sector. So, you have to
think about what companies will be able
to operate
at meaningfully [clears throat]
less
uh uh
uh
employee count and meaningfully less
cost without sacrificing output. In
fact, what companies could actually
decrease their cost meaningfully while
meaningfully increasing their output?
And I cannot think of another company in
the world that will benefit from the AI
efficiency wave more than Amazon will.
And that's why I'm taking this big big
bet on Amazon because that is just a
tailwind that will continue to give year
after year after year. And I know
everyone is so concerned about the two
hundred billion dollars that Amazon just
committed to CapEx. It's part of the six
hundred and fifty billion dollars
uh that big tech in the US committed to
CapEx just this year.
I don't think it's too much. I think
it's too little. In fact, I think that's
just a down payment on what's to come in
terms of CapEx spend. And I think if
there's a concern, it's that we're
spending too little, not too much on
CapEx right now. Why is China such a big
threat to the United States? Because
China has the ability to move
independently
from the companies that operate in
China. When when China decides that they
want that this is important,
they can put the full resources of the
country behind it. And that's exactly
what they're doing with artificial
intelligence. It's what they're doing
with robotics right now. They have a
national mandate to lead the world in
artificial intelligence and robotics and
automation. And they don't have to
convince companies, they don't have to
convince investors, they could just move
on it. Also, one might say that they
have a lower ethical threshold for how
they get there. So, [snorts]
there are a lot of rumors circulating
about Chinese models that are
essentially just stealing our
state-of-the-art models and building on
top of them
at a much lower cost, right? The same
way that China has been doing that with
a lot of our technology over the past
few decades. So, there are some
advantages there
if you're willing to play dirty, which
they are.
>> What disadvantages do you think China
has? Do you think they have access to
the same level of talent that we have in
the United States?
>> [gasps]
>> I think they're getting there, yeah.
In fact, the one disadvantage that China
has had historically is they really
haven't had had that like
entrepreneurial spirit, that like cowboy
spirit that we've had here in the US.
But I'm seeing that change. And because
I'm so deep in the robotic space,
I I've seen some things the last 2 years
that have really impressed me.
And I've had a lot of my friends travel
throughout China and visit a lot of
these small robotics labs.
And it's tiny little companies. It's
tiny little
backroom
young people experimenting.
They've caught the entrepreneurial bug
in China. Probably the same way that
they caught so many things from the
West, right? They wear our clothes now.
They like our trends. They like
So, it's shouldn't really be a surprise
that they were inspired by our
entrepreneurial spirit and have adopted
that, too.
So, in recognizing the fact that Amazon
could be the company to benefit the most
from AI adoption, decrease their costs,
more output, more profit, you have
invested, I'm guessing, a lot into the
company. It's probably now your your
biggest holding, would you say? Yes.
Amazon is number one, your biggest
holding. And you don't have
an expected time horizon on any of this?
Or how do you determine on the daily
that I need to go in deeper? Like what
is the logic? And what's the price
target that you're hoping for and that
you're looking to buy in at? I never
look at price. I never have price
targets.
Um
what I care about is information
asymmetry, and that's all I care about.
I look at how institutional investors
and retail investors look at Amazon.
I see what they're worried about, and
then I try to poke holes in their thesis
or, you know, validate my thesis versus
theirs theirs. And I do this every day
when I have a big trade. So, anything
that could remotely touch Amazon in any
way, I'm assessing on a
day-to-day basis.
Uh trying to get to the ground truth.
So, I understand where their concerns
are with CapEx.
I'm not concerned. In fact, I think
Amazon's spending too little on CapEx
right now. I'm probably the only person
in the world that thinks they're
spending too little on CapEx.
Um I think they are not fully
appreciating the tailwinds that are
coming of the efficiency wave for AI.
That's the thing I was just speaking
about, where Amazon will be the biggest
beneficiary in the world for their
retail business. They spent 15 years
building a moat,
a logistics and distribution moat
globally,
that takes an incredible amount of money
and an incredible amount of time and
resources to build out, and it's really
expensive. And historically, Amazon's
margins on products are really thin
because of how much money they've had to
spend to get products delivered to you
in on now, like 2 hours. Yeah. Uh it
will take a long time for AI and
robotics and automation to play out
across the entire chain of Amazon's
facilities globally,
but it's inevitable, it's coming, and
it's not easily replicated by anyone
else on Earth. The amount of CapEx
budget that you need, the amount of
resources you need, the amount of
experience that you need, uh the local
knowledge that Amazon has in every city
around the world, this took 20-plus
years to develop.
Uh they are
I love this so much cuz normally for me
to find a company where there's this
much information asymmetry,
I have to go far beyond the mega caps.
But the fact that I found so much what I
believe to be information asymmetry with
a mega cap that's highly liquid is
amazing. And how could you be wrong? I
think there's a real risk on the retail
business, them getting uh displaced by
another front-end artificial
intelligence. So, if the entire world
moves to Open AI ChatGPT, we have over a
billion people using ChatGPT every day.
If ChatGPT
decides to show you product links that
are outside of Amazon, that's a problem
for Amazon. Cuz instead of going to
Amazon, if you use your agent to buy
everything and to assess what is the
best
I don't know. What is the best popcorn
to buy?
Your agent will decide that and then buy
it for you, and it will buy it for you
from someone other than Amazon if it
thinks it can get it a little cheaper
or if they can make more money doing
that. So, you've heard about the rumors
going around where Amazon's maybe going
to invest as much as $50 billion
in Open AI. I think that's a big part of
the reason why they're doing that.
They get a chunk of Open AI, but I think
there will also be a side letter
agreement in that deal basically giving
Amazon preference over product queries
that come off of ChatGPT. That's just my
thesis, but Amazon is not dumb. I'm not
the only one seeing that threat. Amazon
obviously knows the threat is there.
And I think that's why they're probably
willing to invest so much money in Open
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about Relay. Thank you so much, and now
let's get back to the episode. What are
your other main holdings aside from
Amazon? And I'm curious what happened
with Bloom Energy.
Okay. What do you mean what happened
with them? Well, you put a million bucks
in that one day when the market was
dumping, and then I think you bought
much more when Bloom went down.
>> Yeah, I have a lot more in that in Bloom
Energy.
Bloom Energy is is a thesis that
revolves around
speed to compute. So, there is a race to
get compute online because the demand
for compute globally is insatiable. And
most people like myself feel like we are
going to be short compute for years and
years and years. And that's why big tech
is spending $650 billion this year to
build out more compute. However, compute
uh is bottlenecked by energy.
And what's happening right now is a lot
of cities and counties are saying, "Hey,
if you data centers are going to suck up
all this energy, you can't do that uh
and also screw the people that live here
and the small businesses by having their
energy rates go up by 2x. So, there's
this new kind of
uh legislation that's popping up in
cities called you got to bring your own
energy, right? Like if you want to build
a data center here, fine, but figure out
your own energy. You're not tapping into
our grid. You're not going to like
increase our energy cost uh for our
residents."
Bloom Energy is one of the only
companies in the world uh that has a
method to essentially uh bring almost an
infinite amount of energy to these data
centers. Uh
and we won't get into all the
technology, but they are now working
with hyperscalers and they
are a resource for energy that will
allow a data center to get ramped up
quicker.
So, even though it costs a little bit
more money today uh
to put an energy cell from Bloom, an
energy box from Bloom, which are energy
cells, it essentially takes things like
natural gas, but instead of burning the
natural gas, there is a chemical process
that turns that natural gas into energy
for the data center. And it's just a
fascinating technology they've been
working on for 20 years. So, Bloom is
the theoretical
fix [snorts]
to this big energy problem. Now, the
other theoretical fix is nuclear. And
you've seen all these nuclear companies,
you've seen small
uh modular nuclear reactor companies. Uh
I think you know, at crazy valuations,
right? Because that's the other fix. But
that fix is still a few years away from
being deployed where Bloom is deployable
like right now today. And that's why
Bloom is up, I don't know, 6-700%
over the course of the last year. Now,
that said, Bloom is not a technology
company. They are a technology company,
but they're not perceived as a
technology company historically by Wall
Street. So, they have energy analysts
covering them who do not believe in
artificial intelligence for the most
part.
The technology analysts don't really
understand stand Bloom because they're
not covering Bloom. So, it's this weird
company that was an energy company, but
actually they're a technology company
and should be covered like a technology
company.
So, it's really volatile. The stock
trades all over the place because nobody
really fully understands it. So,
one of my very close friends spent
I would say 5 months
deeply researching Bloom
uh
wrote one of the most comprehensive
reports on Bloom Energy in fortunately,
he just happened to be a close friend of
mine. And I spent a lot of time with him
and got to learn a lot about Bloom and
that's why I made a big bet on Bloom
this last year. Can we just link that
down below? Yeah, yeah, Jean Shou Dong
and I think I've retweeted his report. I
think it sits on LinkedIn. Okay. Yeah,
we'll just link it down below if you
guys want to read it there. What would
you say are the other most mispriced
assets right now? I think all the AI
stocks are potentially mispriced
uh because there's a lot of confusion
and a lot of doubt and a lot of concern
about the unknowns around AI. I continue
to think that the supercycle is going to
be bigger than anything we ever
experienced in our lifetime.
And that Nvidia, Amazon, Oracle, Meta,
I think all of them are going to benefit
way more than we're anticipating, but
there are risks. Each of those companies
has risks. Like Oracle and Microsoft
have concentration risk related to
OpenAI. If OpenAI doesn't raise, you
know, $100 billion
and have a successful IPO, then they
simply won't have the capital to spend
on compute and data centers that are in
the earnings projections for Oracle and
Microsoft. Uh Amazon is fairly
concentrated into Anthropic, right?
Anthropic builds their models on top of
Amazon's Tranium chip. And if something
bad happens to Anthropic, that could be
a big negative for Amazon. Now, by the
way, there's rumors out this week that
you know, we're about to see DeepSeek-4
come out, right? And it's going to be 20
times more efficient than the US models.
And you'll be able to do the same thing
with a lot less compute. The same way we
had the DeepSeek scares, remember? Like
a year ago, we're having those same
scares. That could be something that
completely wrecks the market in the AI
trade. However, I believe that long-term
the cheaper compute gets, we're just
going to come up with more things to do
with it. So, if you make compute 10
times cheaper, we will come up with 100x
the ways to utilize that compute. If we
figure out how to make compute so cheap
that Hollywood can make an amazing movie
that you cannot decipher from a real
film and they could literally make the
whole movie on a computer without having
any of the actors have to take 4 months
off of their life,
I think that will happen. And then if
the compute gets so cheap that that
could be done by anyone,
I think it will be done by anyone. And
then if we get to a point where every
single human
gets their own version of that movie
with their own favorite actors and maybe
they're in the movie, I think we will go
there.
I I don't know how far we're going to go
with what we can create in our minds of
what would be an enriching, amazing life
to have on this earth,
but I have absolute confidence that
every time we figure out how to make
this cheaper and better, that we are
going to come up with a new use case for
it that's even cooler that's going to
need more of it. That's my overall
thesis on AI and why I'm going all in on
these stocks. What question, if
answered, could completely change your
investing philosophy?
>> [sighs and gasps]
>> I think um
probably the biggest thing that I'm
concerned about and worried about right
now uh
is the existential risk that AI poses to
the economy,
to humanity, to the world. I think there
is a real chance that we blow ourselves
up. I hate saying that. There are almost
an infinite number of ways that can
happen, of course. You know, I think the
one that I want to say the Anthropic CEO
recently brought up, which is on my mind
and a lot of people's minds are, you
know, uh
the next virus, right? That's AI
designed. Uh
the artificial intelligence is getting
recursive over the last few weeks. So,
OpenAI basically came out with their
model called Codex.
And in
kind of the the log of how that model
was formed, they admitted that the AI is
now writing itself and improving itself.
So, that's the thing that we've all been
worried about the last few years. That
is the big existential risk. Once the AI
starts writing itself, it starts to
accelerate how good it is and what it's
capable of doing.
Um
so now we're actually you know, over the
course of the last year,
AI was mostly the same. And then we get
a little model bump, right, guys? But it
was mostly the same over the past year.
What we're seeing over the course of the
last few weeks is acceleration. And we
do not know where that acceleration is
going to take us because now
agents that are in there making the code
better, right? We have agents that are
figuring out how to make the next AI.
And when that starts happening, we
really do not have a sense for how
quickly this moves. So, obviously when
it's accelerating and moving quickly,
that could result in a lot of really
amazing things like our ability to have
personalized feature-length films that
are indistinguishable from what
Hollywood has been producing. But it
also has the ability to give bad actors
uh
the know-how to create a virus in their
bedroom and to tell them exactly how to
deploy that to destroy the world, okay?
So, like as scary as that sounds, that's
real, guys. And like I am not someone
that was really that worried about it up
until
2 weeks ago.
So, how would you how would you express
that as a question?
Does AI move too quickly to the point
where we can't contain it and control
the negative consequences of it falling
into the hands of bad actors? And if the
answer to that is yes, it's moving that
quickly and we're not able to contain
it, we're not able to work together as
as companies and as countries, if we're
not able to collaborate with other labs,
with China to say, "Hey, I know we're
competing against each other, but this
is more important." All right? So, the
same way that we did with nuclear arms,
right? We all wanted to have the best
and the most nukes. At some point, we
all figured out that, "Hey guys,
if we continue to go down this road,
we're we're done. We're all cooked
because someone that we don't want to
have nukes is going to get the nukes.
So, we have to come together
and realize that our collective power,
we have to ensure that no one else gets
these nukes, and we're going to have to
to also kind of tone it down ourselves
here in terms of what we do with the
nukes that we have." So, that was
actually pretty miraculous.
Um that's amazing.
And we need to do the same thing again.
Will we? Can we? Or is this Is this
moving so fast that we don't even have
the time and the right people and the
right
people in politics right now
to actually
sense what's happening and to put proper
measures in place to have those
conversations?
>> already do this though? What makes AI so
unique in that it could accelerate this
to that degree? No. I mean, AI is
bringing the cost of all intelligence
down to close to zero. It's fully
democratizing all intelligence.
But like if someone wants to destroy
humanity, they they did they won't have
the ability today, but they might in a
year from now?
Yes.
Yeah. I I think the ability to destroy
humanity will get meaningfully easier uh
with artificial intelligence and agnetic
AI. I just told you how how a person
with no technological know-how can
create a business that would take dozens
and dozens of employees and maybe
hundreds of thousands of dollars and
months to years of time, how your random
friend from high school with no
technical know-how can do that in 48
hours for $600 in their bedroom.
So, that's a good thing.
>> Mhm.
But that person can also do something
evil with $600 in their bedroom now
because they have
a whole army of super intelligent agents
that can work with them and figure out
how to put all the pieces of this master
plan together,
right? And how to actually enact it and
do it. And so, what conclusion does your
brain go to when you start asking
yourself these questions?
I don't let myself go it go there. It I
I tell myself that I am not one of those
people that can actually enact change.
I hope there are people that
will actually take those steps, who are
working at the big labs, who are working
in government. Um that's not me. So, I'm
not I'm not going to like Why don't you
give a message to the people watching
because chances are there might be
somebody in the [clears throat] group
who can make a change, and listening to
you might be the push they need to to
get it over that edge? I hope someone
can leverage this technology and this
intelligence
to help figure out how regular people
can actually enact change with the head
of of these labs and with government,
right? Like Like you don't have to go
out at alone. Let the AI help you figure
out
what we should be doing collectively.
Everybody has their one political cause
that they'll go to a rally for, they'll
contribute money to.
It's astonishing to me
that more people aren't making this
their cause because this is the thing
that could just take us all down
really quickly, and then nothing else
actually matters. All your other causes
don't really matter. So, I think a big
part of it is people don't yet
fully appreciate how real it is and
what's happened in the last 2 weeks. And
that's purely because of the AI agents.
That's correct.
>> that. That's correct. So, I was seeing
it explode online unlike anything I've
seen in a long time. The use of it was
originally like Claude code, right? Is
like what they would or Claude bot is
what they would say, and then it turned
into open claw, right? So.
>> Well, what By the way, also, you know,
Codex by OpenAI again being, you know,
outwardly coming out and saying, "Hey,
we're using the AI is now writing itself
and now improving itself." That's a big
piece of it as well. So, there are a
couple things going on here. There's
agnetic AI, but there's also the fact
that these labs have figured out how to
leverage the AI itself to improve
itself. But it's not your job to predict
the future in terms of how will this all
play out? Will humanity end up
destroying itself or will we end up
being able to come to agreements with
competitors and thrive because of it?
It's your job to be able to see
in a snapshot
present tense right now for what it is,
and then find asymmetrical information,
stuff that you can see for what the
reality is and other people they don't
see it that way, and you can make money
off that difference. That's exactly
correct. Um I'm more focused on uh
properly assessing the ground truth that
is the present as opposed to trying to
predict the future. And there's so much
happening in the present. It's changing
every day, and the amount of
misinformation and noise has never been
bigger, which means that the opportunity
for someone who's able to properly
assess what's real and what's not real
is huge. So, do you think kids these
days should go to college to learn or
should they just spend 6 hours a day
learning AI?
Um it's it's it's funny because I've
always been,
you know, pretty hard on my kids when it
comes to them doing well at school and
not missing class. One of my kids uh
recently they turned 16 recently, and
they drive themselves to school, and
they slept in, and I was so astonished
at first. I was like, "I cannot believe
Like how does that even happen?" Like
if I would have done that when I was a
kid, I the thought of what my parents
would have done to me. And like but
there was part of me in the back of my
head that was like, "Does it even matter
anymore?" I'm just like I'm looking at
my kid going,
"Why are you even in school right now?"
I know that seems crazy, and I can't
really say that to them,
but I'm like, "Does any of this really
matter at all right now? Like what are
you even doing?"
Like the world is moving so quickly, I
can't even imagine the stuff that you're
learning how slowly it And by the way,
guys, I mean, it's gotten to a point
where every single kid in America is
using AI for every single assignment and
every single test. It's actual I don't
think people realize it's like close to
100% of every high school and college
student is using AI for close to
everything that they do. How do you How
do you prevent that? Because let's just
say because I'm thinking if if I get
like a math page, I'm just taking a a
photo of it, uploading it to Gemini, and
saying, "Do these problems. Show me the
math. Show me how you did this." And
it's just like I just copy it.
Like how do you prevent against that?
And is that even Are test scores
decreasing because the kids aren't
learning? Like I'm sure that's a pretty
easy study to find.
>> I I actually So, because I use AI all
day every day,
um like a maniac, I actually think the
AI is making me smarter because I'm
spending less time Like I won't spend,
you know, hours just arguing at myself
over like a the wording in a three-page
brief.
Going back and forth with the AI to kind
of cultivate a paper,
um to understand
certain elements of it and to enhance
it,
is such a better use of my Like I'm
learning so much by having the AI do 95%
of the work because you don't trust the
AI completely, right? And you still need
to make sure that you you know, you're
bringing your own taste and your own
your your own
kind of like
you want to bring your own tone to
whatever you're writing or turning in,
and and you still want to have some
element of yourself in that.
I think I think these kids are probably
learning way more using the AI
than if they were doing it the old way.
Even though the AI is doing almost
everything for them
because it's just so quick,
and they're not wasting I mean, how much
time did we waste just on stupid stuff
when it came to school? Like it seems
ridiculous, quite honestly.
Um the AI And by the way, at some point,
the AI is just going to teach the kids
personalized, customized. That's what I
think.
>> Yeah, it's I think what it's going to
get at some point in the future is like
a neural link that basically you pay a
subscription to, and you could download
whatever information you want. So, if
you want to be fluent in Japanese, you
pay a subscription, 99 bucks a month,
you download fluently Japanese, and all
of a sudden you just understand it. And
then maybe as soon as you just stop
paying this the ability goes away, but
it's able to like download information
and assimilate in your brain in such a
way that you could just
know everything. Did you watch a lot of
sci-fi when you were a kid? No, not
necessarily.
>> Every time we talk about a a
progression, you make a quantum leap
with it.
>> [laughter]
>> Every single time.
And everything you're saying is true,
but I think far down the road. Uh but
yeah, you No, no, you're right.
>> was watching Pluribus and having a
collective knowledge, and me thinking,
"Well, we have a collective knowledge
already online. Everything is already
there. It's just not in our heads. But
what if all of us learned and can
progress equally because what you learn,
I pick up instantly. And then what I
learn, Jack picks up instantly. And then
we could all share that knowledge
globally. I mean, think of the things
that like we could cure cancers. We
could fix so many things. Every problem
that society has, we would understand it
from that person's point of view. But
But Graham, the AI is already doing that
because it already has access to
everything that we have ever expressed
that has come out of all of our
collective brains. So, that's what I was
trying to explain earlier when it when
it recreated this entire business
venture and podcast that I had around
this totally new person, the complexity
involved in that and the number of
discrete elements that it brought into
it. It brought in like 60 different
things. I can't even imagine. It would
have take me a year just to find all
these different elements that it thought
might be relevant for this exercise that
I wanted it to go through.
It was using the collective brainpower
of an infinite number of people and past
content
in order to kind of contextualize and to
sculpt something brand new for me.
It's already doing that. We already have
Pluribus. It's just not fully connected
inside of our brain yet.
Like but it's already here kind of.
And if not like very quickly.
>> Yes. It's here. The smartest people I
speak to and I have access to some
really interesting people
um
in that world and they have all told me
that, you know, if we remove at the FDA
process which takes forever,
they really believe we're going to cure
like every single disease within 10
years. Like they're like just live 10
years. Like we don't know exactly how
this is going to work with, you know,
studies and delays and stuff, but we
will have the tech to cure every disease
in 10 years.
They really believe that. Like these are
people who have told me that.
>> scans I've seen that they could detect
certain cancers and and illnesses way
before a doctor might even know what's
going on because you don't even have
symptoms. Do you think AI should be able
to replace humans in the courts or in
policy decisions? Yes.
And how long do you think that'll be
before someone goes to court and their
AI argues against the government's AI?
It's going to call out all of uh the
information gaps. So, anywhere where
there's an information gap because maybe
someone a a juror isn't able to mentally
process something or maybe an attorney
forgot to say something or they said it
in a way that didn't resonate with the
juror. The AI is not going to miss that.
So, it's going to catch all the
information gaps. It's going to catch
all the biases. It's going to solve all
of those problems and be so
much better, okay, than any human would
be. And I think that's going to benefit
everyone. It's going to benefit for real
estate transaction, it's going to
benefit both the buyer and the seller
because they're going to know that
negotiation was negotiated with perfect
information. I think in a court
situation, this is one of those
regulated industries. I think there will
always be a human over it. I don't say
always, but for a very long time.
But I think the human Okay, at the
tennis match I went to on Friday, this
is wild. It was the first time I'd ever
been to a sporting event.
The the the line judge didn't call
anything. The AI did.
This is I didn't know I don't watch
tennis, so I had no idea. People who
watch tennis probably Yeah, we've known
that for years, but
the AI called every shot.
And if it was close, it would show it on
video as an instant replay for everyone
to see to make sure that we know that
the AI was right. Okay? And there was
still a line judge there. I don't know
what they were doing because even the
voice that would come out was an AI
voice. It was awesome.
>> Line judge union is what it's coming
from, right?
And after you employ one person
>> And I've been saying this cuz I I you
know, my my kids have been doing youth
sports forever. And the big thing with
youth sports, if you guys ever have kids
and you're going to find out, like
people take it way too seriously. And
there is horrible arguments between
parents. There's yelling. There's curt I
mean, it's wild.
I'm like, gosh, why can't we just And by
the way, the talent that you get
to like be a ref for fifth grade
football, okay?
Maybe not the best talent in the world,
right?
>> You might be one of the yellers is what
I'm seeing. I don't know.
>> I know. You really No. I No.
No. That's my wife, not me. I I'm
totally even keeled when it comes to
this stuff.
But I was like, man, why can't we have
AI for this? This would just solve so
This would make our community stronger.
>> the it's genuinely the unions is what
I've heard because I asked myself the
same exact question. On TV, they have
the strike zone in baseball. And even if
the ball shows that it's in the strike
zone, the commentators can say, "Oh,
wow. Yeah, he missed that strike. The
umpire called that a ball, but that was
a strike." It's like, "Well, if it was a
strike, then call it one." Yeah. So,
I listen I I I I think there's an
emotional element. There's discretion.
There's nuance uh where you need a human
to make the ultimate decision, okay? But
I think the human will be able to make a
much better decision
with the assistance of AI. Let the AI
basically make the decision for you and
then you can overrule it. Um but I think
wouldn't everyone benefit? If you're on
a jury, wouldn't you like to have an AI
basically create the perfect assessment
of the case? But then yeah, it depends
if you're guilty or not. Okay, but but
like you All right, fine.
I I I think it's inevitable. I I think
with government, does anyone believe
that our government officials are making
the best decisions for the best reasons,
okay? Like can we all agree that
government would be massively enhanced
>> Oh, 100%. But the government Well, we
all agree except the government.
True. True. But But They would argue
that they employ a lot of people who
rely on that income.
Well,
I hate that argument.
I I I I hate that argument because
I don't care if we got to take that
income and just reroute it to the same
people
to have them do something else that's
actually benefiting humanity. Let's just
tax it, take it, redistribute it, have
them work as uh Community service by
community service, uh help have them
help the elderly, have them be advocates
for the sick. There are
animal welfare. There are a billion
things that humans can be doing that
will actually benefit humanity. Let's
not have them do something just to do
something that an AI can do better.
Let's Let's Let's put them doing
something else and not take their income
away. Let's Let's fig- Let's Let's
leverage the AI to figure out how we
make the transition, this AI transition
which is going to be super difficult. I
I bet the AI can help us figure it out.
How do we get these people that are
about to be displaced in a better place?
How do we get them through the
transition into better jobs? It's not
going to be easy. The best thing is for
the first time ever, we have like a
massive intelligence to help us figure
this out. We don't have to do it alone.
So, because I think a lot of people are
tuning into this episode, we're going to
title it something that has to do with
the market and AI.
What stock would you say is maximum risk
but maximum opportunistic?
I think that Google is such a
fascinating company because they have 80
roughly 85% of their revenue is tied
into a legacy search business
that is at risk of getting completely
displaced
by AI queries, whether they're Google AI
queries from Gemini or coming from Open
AI or from any number of other places.
The bulk of their revenue is at risk.
However,
Google is making moves that are maybe
more ambitious than any other frontier
lab in the world towards super
intelligence and to solving some of the
world's biggest problems. And I think
Google actually has a pretty good degree
of trust globally because of the legacy
value of what they've done over the past
few decades that
they could be the company to solve all
the biggest worlds the world's biggest
problems
and be trusted to actually
put those solutions in place. So, when I
think about Google, there's a tremendous
amount of short-term risk there. But in
the long term, they are probably
positioned better than anyone else to
hit a grand slam. And I hope they do
because everything that they're working
on is for is generally for good, right?
Um
It's a fascinating company. Tesla, even
more so, is so committed to the ultra
long game, specifically with their play
in robotics.
Um
that
the concept of owning the full stack on
an infinite labor machine that can
rebuild the Earth and essentially
create new industries from the ground up
is
probably the biggest theoretical win
that any company could have. Um and
Tesla, because they still kind of
operate under Elon
like an early-stage company, if and I'm
going to say if, cuz I haven't seen the
goods yet, Optimus 3 should be shown in
the next 6 months.
>> [sighs]
>> If they crack the code on generalized
robotics,
Tesla could be the biggest winner.
But they have to show the goods. Like
they have to actually execute on that.
Um
I think Elon is willing to move quicker
and do more ambitious things than any
CEO on Earth.
Uh so, again, if generalized robotics
materializes like I think it will over
the next 5 to 10 years,
I think Tesla might be in the pole
position to benefit more than any other
company on Earth because you're creating
an infinite labor machine
and we can't even wrap our head around
what that means for the future of
industry. Who do you think is the best
founder?
I think that
>> [gasps]
>> Oh, boy.
To date?
Mhm.
Alive [clears throat] now? God, that's a
I think Jensen.
Mhm.
I think Jensen,
uh
no one would have done what he did.
The risks that he took on,
the projects that he took on 12, 13
years ago
that brought us to the compute that we
have today.
Um
is just absolutely astonishing that he
did that. He put that entire company at
risk time and time again
and not one person bought that it was a
good idea. Like I speak to people that
knew Jensen back then
and they're like, he was freaking crazy.
Like we all thought he was nuts.
Like because the he was talking about
doing things that clearly wouldn't pay
off for like a decade plus and who would
have thought?
The the The chipsets that they're on
right now?
Uh I would say you'd have to give it to
Jensen,
but you'd also have to give a nod to a
guy who is technically no longer CEO,
but Demis Hassabis at Google DeepMind.
So, he was founder and CEO of DeepMind,
which was acquired by Google.
But Demis Hassabis is probably the guy
that you would have to attribute
um
most of the breakthroughs that we have
today beyond the chip itself that we
have to attribute Jensen and his team
to, right? So, I'd say Jensen and Demis
Hassabis
uh would be the two guys that come to
mind. Now, you got to have Elon's right
up there, obviously. And I also think
Vlad at Robinhood.
You know, it's a it's a financial firm,
so it's not it's not as sexy in terms of
its
you know, obvious
you know, interaction with all people if
you're not an active investor.
But I think Vlad should be up there as
well. Well, speaking of that, what are
your thoughts on the prediction market
trend? Yeah, I love prediction markets
for one thing and one thing only in that
it forces
people to think about probability and
outcomes. And I think
thinking about probabilities and
outcomes is the core
um attribute that you have to have to be
a great investor.
So, the issue with prediction markets is
it drives a tremendous amount of
dopamine and it makes you think that
you're investing when you're not. So,
prediction markets
operate out of a fixed
pie. Mhm.
So, there is a winner and a loser.
So, every time somebody wins, somebody
loses. There's there's no net gain in a
prediction market.
The world of investing is a constantly
bigger pie every day, right? The entire
global capital market and industry is
getting larger every single year.
And if you're an investor, you're trying
to get a bigger piece of a growing pie.
So, if you're going to play in one of
those two games, which game do you want
to play in? You want to play in a game
where you're trying to get a bigger
piece of a pie that's getting bigger
every year as opposed to a pie that's
always the same size, where there's
always an equal winner and loser and
then someone taking shaving a little
bit. But do you think a lot of younger
investors are going to start in placing
investing with prediction markets and
that's going to be their exchange?
>> Yes, absolutely they will.
Absolutely they will.
>> And what's the risk of that?
>> Um
not all, by the way.
I was a gambling addict when I was
younger. Shouldn't surprise you guys,
right? So,
I would drive my car from Dallas to
Shreveport
uh and sit in poker rooms till 7:00 a.m.
Uh when I moved to LA, I was in my early
20s,
I would
occasionally I'd I'd be out at night
partying with my friends, 2:00 a.m.
Everyone would go home.
Uh I would drive down by LAX, there was
a casino down there uh off of Century
Boulevard, I think.
And I would play poker with a bunch of
60-year-olds and I hated cigarette smoke
and man, that that was the smokiest room
ever.
Again, till 6:00, 7:00 in the morning.
So,
uh I was in
I was an out-of-the-money options addict
in college. I would skip class. I would
trade out-of-the-money options on a
payphone in the basement of the business
school.
I would go broke every few weeks. I'd
make more money, go broke, make more
money, go broke. So, I know what it's
like to chase that dopamine. I get it.
It's it's a young man's game and it's
part of the journey for most. Now, for
most.
Uh some people will never break out of
it, but I have absolute confidence that
most people will. Why? Our brains
change, our lifestyles change, we
mature.
Um
we get a family, come in this happens to
every
most every person and we have more
investment education now than ever
before. So, you start to see people
around you and you see the guys that are
just gambling with their money and
what's happening to them in their lives
and their bank accounts and then you see
your friends that are investing on
Robinhood in actual stocks and equities.
You see the AI revolution happening
right in front of you. You see news
cycles about billion-dollar companies
and trillion-dollar companies. It's not
like you're not exposed to all this
every single day. And especially when
you get out of the fraternity house and
you start working at a company and
you're around professional people,
it's an evolution of life and and most
people
will break out of it. Now, does it mean
they're not going to play around in
prediction markets for the rest of their
life? No, of course. I still do it. I do
it for fun, right?
I don't know what percent I mean, it's
such a nominal amount of my money when I
do it. I'm really just doing it for fun.
The same way when I go to Vegas,
I'll hit up the worst odds card game
like Caribbean Stud or something
my money or something like that, 7, 8%
of my money. But I do it because it's
fun.
>> Now, what's interesting is that I read a
study that allegedly found that on Call
Sheet, users lost an average of 27 cents
for every dollar that they put on the
platform versus sports betting where
they lost an average of I believe it was
11 cents. And so, they argued that these
prediction markets were actually worse
for your finances than straight-up
gambling. And that when you put gambling
on an app that you primarily invest, it
really blurs the line between what is
gambling, what is prediction markets,
what is investing. And because they make
it so easy, it's like, well, you know, I
could just do this coin flip over here.
May as well and then I have more money
to invest. I don't buy it. I I
You lose money enough
gambling on this and that,
eventually your mind
assesses the pattern
subconsciously.
It just does.
You're not going to lose your money over
and over and over again and just keep
doing it for 50 years.
>> down though. That's that's why you need
to like just that's more.
>> I've been there, Graham. I was a
gambler, a problem gambler, when I was
young.
Most problem gamblers when they're young
grow out of it. Some don't. Like I said,
it's this is not black and white, but
you your your brain does
start to assess patterns and if the
patterns are losing, losing, losing, you
try different things. That that's the
entirety of the human species and how
human evolution happens, right?
The weak go away, the strong survive.
Even within our lifetimes, we're
learning and we're getting smarter every
day. And
I just don't buy the whole thing where
prediction markets just existing are
going to lead to the collapse of
society. I am more excited than I've
ever been about the next generation
becoming
prudent investors because of these apps,
because they're learning about
probabilities, they're learning about
outcomes, and they're also investing in
stocks. I don't care that they're on the
same app. It doesn't bother me one bit.
There will always be anomalies, there
will be exceptions to the rule, there's
always people with gambling problems.
Um
that's never going to change, but as a
general rule, I don't think it's a huge
issue. So, if we're just to entertain
the viewer and pull out some crazy lofty
predictions, yeah.
What would you say, just a one simple
answer, is a company that you think will
likely go bankrupt?
I think eventually Duolingo goes
bankrupt.
And do you think that's just because
people can spin up other apps that are
going to be similar pretty simply with
with open claw or that you know, I think
you could just brain thing will be yeah,
put in I think you could just talk to
Gemini at this point.
Mhm. Teach me Spanish and it just walks
you through. You just have conversation
with like you have your own tutor.
I think your agents are going to know
more about you
than
a third-party service will ever know
about you. So, it will know it exactly
how to teach you Spanish based on what
you did that morning.
So, it will actually teach you Spanish
um based on some of the tasks that you
need to complete that day.
That you are probably not going to want
to share with Duolingo.
Okay? So, it's going to have better
access to you, better information about
you. It's going to be
better positioned to teach you language
and to teach you math and all the other
stuff than some legacy company
uh that doesn't have access to your day
and everything and else that it's doing
with you. Does that Does that kind of
make sense? So, I don't think Duolingo
is going bankrupt anytime soon, but I
feel like the writing is on the wall
that it will get eaten by the AI that's
closer to you.
What's going to happen to budgeting apps
when pretty soon you could just plug in
your finances and your bank accounts and
your investment accounts to like Gemini
or ChatGPT and that'll give you
everything you need to know to optimize
every single expense?
So, you're saying what's happening to
the apps now that are just plugins?
>> Correct. They probably go away.
And what happens at that point when all
of a sudden ChatGPT is able to get
access to your banking information and
is able to say, "Hey, we could offer you
these loans. We could offer you these
products and services." It just seems
like a huge untapped industry that will
completely disrupt a lot of companies.
It's massive. Guys, in in the early
2000s
every single ad was a pop-up ad that
wasn't even for the gender it was shown
to.
Okay? That's how bad advertising was in
the early 2000s on the internet.
You were mostly seeing ads for women
as a guy or you were mostly seeing ads
for an a 70-year-old or someone that has
this weird thing like
that's what it used to be and look at
where we are today. Like and we all
complain about it, but let's be honest
like the ads are pretty good today.
>> They're really good.
>> They're really good, right? I'm not even
upset by them anymore.
>> Yeah. Do you I mean, the amount of
friction in our life is actually insane.
The amount of time that I spend every
day with enormous amounts of friction
doing all the stuff you're talking about
my agent should just have it all down.
It should have access to everything. It
should just know
everybody should know everything.
Everything should be customized to me
and I shouldn't even have to think about
it.
>> What's crazy is that I did uh taxes
recently for the Index, which is that
group that you met up with with the link
down below in the description. I was
able to do the entire year of taxes
in 5 minutes. And all I did, I uploaded
every single statement, every single
credit card statement, every single bank
statement and it categorized every
expense and when it had a question, it
asked me how to categorize a certain
thing. And it broke everything down in 5
minutes and then it went through
double-check a few like random things to
make sure it was correct and it was
correct. I've never seen it actually get
numbers correct before to this degree.
Ever.
In 5 minutes, the whole thing was done.
I spend a solid week of my life every
year doing taxes.
>> Yes. And by the way
preparing taxes for my CPA.
A whole week of my life.
>> That's what I do. One week of the 52
weeks is spent just aggregating
stuff.
>> [sighs and gasps]
>> For
How is that even possible? Like what a
waste of a life.
>> Yeah.
I take a weekend. I take a full weekend
and I lock myself in the room and I'm
like, all right, I'm going to go through
this, this and this and I write down
everything and I make sure it's all
categorized properly and I double-check
things and sometimes even between Jack
and I, I'm sending Jack numbers and
Jack's like, well, I did it on my end
and we came up with like a few hundred
dollar discrepancy and we have to find
which one of us is correct and
incorrect. We are going to We are all
going to have so much more time to do
real stuff once a generative AI takes
off
and we're just not bothered by admin
work. I mean, and if you look at the
admin work we're doing just as people, I
mean, the admin work that exists inside
of companies globally
it's just so ridiculous.
I'm like I said, I always come back to a
good place. If we don't blow ourselves
up
uh
we're going to be in such a good place
as long as we can manage through the
transition.
Going to be hard.
>> [laughter]
>> If we can get if AI will just help us
through the transition
I am so optimistic. I am you know, I
don't listen to Elon when he talks about
all this crazy stuff cuz his timelines
are off by a factor of 10, but I am a
huge believer in the age of abundance. I
think the age of abundance is actually
going to happen
and I think it's not going to be an
overnight thing, but I think it's all
about people that all get to live like
we live for the most part.
I don't think it's this thing where
everybody's going to be infinitely
wealthy like Elon says but I think there
is a point where most of the people in
the world get to live like we live at
the top of the first world. And how
could we not be excited about that? Like
that that's kind of insane. I think we
are going to cure almost all the
diseases we have today.
I think we're going to get to spend more
time with people we love and get to do
things that we like. I think there'll be
more stuff like people spending, you
know, 16 and a half million dollars on a
Pokémon card in 15 years. I think that's
going to become norm because we're going
to get to lean into our passions. Oh, by
the way
if you look at history, anytime there's
been like a technological jump, even
before we called it technology, there's
always been like an equal amount of
thirst for the opposite.
So, I think all the stuff that's offline
is going to come back. It's nostalgic.
>> hard physical assets? It's not even
about assets, it's how you spend your
time. So, I think people are going to
like
thirst for all the cool stuff that AI
brings to the world and how it makes our
lives easier and better and all the
instantaneous intelligence,
democratizing intelligence. You want to
create a business, you can create a
business. Anybody can, right? You want
to create a movie or a TV show that's in
your head, you can just create it.
That's awesome, but then I think there
will be an equal amount of desire to do
things that are interpersonal, that are
totally disconnected from technology.
And like like I said, if you look at
history, that there's there's usually
that like even split when something like
this happens and I think that's going to
be really cool because it will awaken us
and we'll start appreciating
like
the nostalgic interpersonal stuff that
I think we've already got like the last
transition we've been going through
since social media has kind of sucked.
Let's be honest, right? Like
we we all agree it's too much. We need
to get away from it and I think it's
time and I'm starting to see signs of
that. I'm starting to see like you know,
uh you know, I own Collect-A-Con. It's
the largest Pokémon trade show in the
world and it is booming. I mean, we have
like 15, 20,000 people coming to every
show and there's no phones out. People
are playing card game. Now, it's a niche
of people, right?
Um
but I'm kind of like I'm kind of seeing
it all over. People There's a thirst for
it. People want to do stuff. Like at my
restaurants, I've never seen this
before.
The last few months, I'm starting to see
groups of people playing cards and games
at my my restaurant and my bars.
Like groups of women will come like I
saw people playing dominoes and there's
people playing mahjong and there's
people like people
this all started happening in the last
few months and it's super weird and I
don't I'm still trying to wrap my head
around it.
We're very early
but I think that will be the next like a
next big like super trend that we see
cuz there's going to be resistance with
the AI stuff. There's going to our
brains can only tolerate so much change
at once.
So what should people be investing in if
it's not AI? Like what other like the
Pokémon card that sold for 16 million?
Are there other things like that
collectibles that you think are going to
be doing really well? Um yeah, I mean I
I would just say look look for things
where you have motes that AI cannot
penetrate. You know, AI is never going
to fully be able to penetrate things
where there has to be physicality. Now,
one day will we have robots? Yes, I'm a
big robot advocate but the the world
where we have
billions of robots is not happening in
the next few years. So if there has to
be physicality, relationships are super
important. Any type of job or industry
or company where trust is super
important.
Um where there's regulations,
uh where there's a high degree of
nuanced taste involved. I think those
will be relatively protected. So you
just have to look for things that AI
can't just displace and I think those
things get bigger not smaller over time.
If you had a billion dollars and you
just could Hail Mary that into any
stock, this stock could have huge risk,
huge loss,
uh what would it be? Short term short
term so not long term.
Can I split it between two stocks or no?
>> Yeah.
I'm going to split up to my favorite two
stocks, Bloom and Amazon.
Mhm. And that's short term?
Even short term. I cannot pinpoint
when the market will fully start to
appreciate and properly balance
the positives versus the theoretical
negatives on a company like Amazon and
Bloom.
Uh
but I think every month that we go where
the market is more likely to see it.
What is one stock everyone should own at
least a little of?
You have to own Amazon. I mean
absolutely have to own Amazon. The I the
next question was
what stock has what stock obviously has
the most long-term like potential? Like
in terms of information asymmetry and
that would be Amazon.
Like the information asymmetry is so
obvious
that it wouldn't be difficult to find.
Uh there is a company
in Japan called Rigado
and they make the 3D
imaging machines that are able to assess
if there
is
anything not working or broken or
misaligned in a computer chip or a
memory chip and the way that AI is
progressing right now,
you could think about the way chips were
made historically. They were very flat,
right? It was very easy to kind of
visually see
um if the circuitry was correct in that
chip. Well, now chips are getting very
dense. If you look at the next
generation and generation after that
Nvidia platforms, everything is becoming
stacked now. So data centers are about
to become way more dense. The the
servers, the chipsets, everything is is
now like it's it's going from a
one-story house to like a tower.
A lot of sophistication,
uh a lot of circuitry, a lot of stuff
going on for a simple person. Like we
won't get too into the minutia of it
all.
It's an extraordinarily expensive and if
you go ahead and put these chips,
whether it's a memory chip, whether it's
a GPU,
uh inside of a stack inside of a data
center and then find out it's not
working, it takes that offline and is
extraordinarily costly. So the value in
being able to assess that all of the
pieces of the compute that ultimately go
into the data centers are working before
they actually get implemented and
deployed is becoming exceptionally
important because the cost of having it
go down later is really bad. Also, you
want to be able to quickly assess what
was wrong because if you manufactured a
whole lot of these that have the same
issue, you want to be able to stop that
run and fix the issue. So this is like
an unknown company in Japan.
Uh
I am in the process of trying to buy
shares in it. The problem is to buy
shares in a foreign company like that,
sometimes they have ADRs. This one has
an ADR but it's not traded with any real
liquidity so I can't really put a lot of
money into it.
I have to open up a Schwab Global
account which I do have.
Uh Interactive Brokers will allow you to
do this as well but even Schwab Global
told me this last week that they didn't
have the ticker set up to trade cuz no
one in America has ever traded that
ticker now. Oh yeah. First person in
America So so I had to request that
Schwab add the ticker
to Global.
Um it has to get approved and then
added. So they're going to call me. They
say they are more likely than not going
to do it uh but they're going to call me
once it's added and I will hopefully be
the first person to purchase this
through Schwab Global. They're going to
buy they're going to front run you on
this one. They're going to buy it first.
Be like oh Chris is buying. All right,
this is buy a little too.
>> I'm going to dump the entirety of my
Global account into this company
uh which is a relatively small company
that I think has asymmetric upside
downside because their core business is
fine. It is what it is but this AI
business is totally new
and just totally value add to their
revenue stream, right?
>> this company directly and just say hey,
I want to invest in you. What could we
work out?
>> [sighs and gasps]
>> I don't even like traveling like to
another state. I'm not going to Japan.
No, I mean they're a publicly traded
company, right? So like if you want to
buy you just buy them on the Japanese
exchange. So just so you know how it
works, it's actually kind of it's
interesting. Most people don't
understand that you can do this. You can
buy almost any company in the world
through something like Schwab Global but
you have to open a Global account, then
you have to
transfer money into the Global account,
then you have to buy the local currency
first and that's where you really get
hit with commissions because it costs
like
half of 1% to 1% depending on the
currency to the currency trade. It's
like it's 1986 with commissions.
Then when you get the local currency,
you could trade the stock
and then you got to transfer it back
into the US currency eventually, right?
So I look for things like this all the
time. I have people on my team that are
looking for stuff like this.
Uh it's getting harder and harder to
find like true information asymmetry
that's totally unknown
in the AI space cuz all Wall Street is
looking for it. But this is what I mean
you asked for it.
So so so that's it. I mean if you want
to know, that's it.
>> That's fascinating. I appreciate it and
it's impressive how much research you
got in there. That's quite phenomenal.
Well, I I I have a partner. He has done
the bulk of the research. In fact, um
I'll get his permission to link it. I
think he has a 70-page report.
It'll be linked down below as well if we
get the permission.
But Chris, thank you so much for coming
on the Ice Coffee Hour podcast and of
course thank you for being flexible with
the timing and everything. I mean we
asked this relatively last minute so we
appreciate that. Thank you so much to
all of the viewers watching that have
made it this far. We are so appreciative
of you of course. Also a big thank you
to our members who support the channel.
Big shout out to you. Really appreciate
it. And of course big thank you to Caleb
Hammer because we are using his studio
and it's very generous of him. So
appreciate it. Thank you so much Chris.
Until next time.