This 24-Year-Old AI Billionaire Just Bet $8.5B Against Nvidia
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One of the most aggressive, successful,
some would say genius billionaire
investors in the market right now just
made a move that should make every
investor stop for a second. And yes, I'm
talking about Leopold Aeschbacher, an
ex-OpenAI researcher who founded
AI-focused hedge fund called Situational
Awareness that reportedly ramped up to
roughly 20 billion in assets. And the
craziest part, he's only 24 years old.
Because this is not just some random
bear on Twitter saying the video's over.
This is somebody who made his entire
name riding the AI wave. And now Leopold
Aeschbacher is suddenly going against
some of the biggest winners in the stock
market, some of which he bet on himself
that made him rich. So we're talking
about shorting exposure tied to Nvidia,
AMD, Broadcom, Micron, ASML, Intel, and
the broader semiconductor complex. This
is very strange. What is Leopold
Aeschbacher doing right now? And this is
not just some rumor or some vague Wall
Street chatter. This started getting
real attention because the firm's 13F
filing, which pointed to something like
$8 million to about $8.5 million
of bearish exposure with one of the
biggest puts tied to names like Nvidia,
AMD, and Broadcom. And seeing this, you
have to ask yourself, does he know
something that we don't know? Does
Leopold Aeschbacher suddenly think the
whole AI boom is done? As an ex-Wall
Street analyst myself, this made me very
curious. So that's exactly what I'm
going to be answering in this video. And
actually, don't really think this is the
most interesting part of all. The most
interesting part is where the money is
moving next and what he's doing with his
money instead. Because if you really
break down the thesis here, this looks a
lot less like an anti-AI call and a lot
more like a rotation call. A call that
says the easy money may already have
been made in obvious AI names and the
next bottleneck might be in power,
memory, data centers, and physical
infrastructure. Now, the reason this
matters is because a lot of people still
think AI investing is simple, and they
think that if you just buy Nvidia, or,
you know, even some of Leopold's
holdings himself, like Nebius, then it's
all going to be easy work, right? But,
that is not the case. Look, I get why
people think that, but Leopold's
position sizing right now, and his new
positions, is completely different from
what investors think. Those stocks have
absolutely exploded already. They have
been some of the cleanest winners of the
last couple of years. Some of these
stocks are on generational runs. Like,
in the last year alone, look how much
Micron Technology is up. Look how much
Nebius is up year-to-date. But, the
market is changing very quickly. And
once a trade becomes too obvious, too
crowded, too universally loved, you at
least have to ask where the next big
opportunity is somewhere else in the
stock market. Now, let me make this
super simple for you, and not gatekeep
any information. If you look at the
situation itself, the shock value is
obvious. The big headline is that
Leopold Ashchenbrenner appears to be
very aggressive on the short side
against a lot of AI semiconductor names.
So, what it's looking like to me is that
semiconductor names are overvalued. And
when you see a 13F from Situational
Awareness LP pointing to roughly $8.5
billion in bearish exposure, you cannot
simply brush that off, right? That is
absurd information that might move the
stock market. But, this is where I want
to slow everyone down, because I do not
think the smartest takeaway here is to
say, "Okay, let's sell everything. AI
stocks are going to be crashing
tomorrow." Because I think that smarter
takeaway is to ask, "What exactly is he
betting on against, and what exactly is
he still bullish on?" This is where the
thesis gets way more interesting,
because this is not just Leopold getting
bearish across the board and going
entirely into cash. It's not like he
woke up and said, "AI is a bubble, and
everything is going to be connected, and
everything is going to come crashing
down." What's actually going on here is
we're really looking at a split book. On
one side, pressure against obvious
winners is in semiconductors. On the
other side, continued interest in names
connected to data centers, power,
memory, and infrastructure is something
that he still likes. So, although
there's pressure one from one side, he's
rotating to another side. So, if you
actually zoom out, the message is not AI
is dead, AI is over, and there's no more
money to be made. The message instead is
that AI trade is inside this new change,
and he is making that pretty public, and
he's not doing that by choice. He's not
doing it out of the goodness of his
heart. We are seeing that live happening
right now by his 13F filing changes. And
before we go even further, one important
clarification. A 13F is a quarterly end
snapshot. Meaning that when I'm
referring to some of his positions that
I'm seeing within his, you know,
portfolio, I am looking back at some of
the positions that he has already
opened, and they're at the end of March
31st. Had disclosed put option exposure
at the end of the quarter. However,
based on my own research, I still
believe that Leopold Aschenbrenner has
some of these positions open. It does
not give us a real-time look at every
single trade that he has made since
then, but it does give us a very good
picture of what likely he is thinking
and the reasoning behind some of his
trades. Now, the nuances really matter
here. So, make sure to listen up. So,
look, the biggest bearish position in
his portfolio right now, the largest
one, is a put on Van Eck Semiconductor
ETF SMH, at just over $2 billion of
reported value. Right behind Nvidia,
which is at $1.5 billion in puts. And
then Oracle at about $1 billion in puts.
And by the way, if you looked at Oracle,
here's the chart. Just in the past week
alone, Oracle has been on a very huge
decline. So, for me, I believe that
Leopold is personally profiting right
now. That is my personal belief. I still
think he's in the Oracle trade.
Broadcom, he has 1 billion of short.
AMD, 969 million dollars of short.
Micron at 584 million. TSM, about 500
million. And ASML, about 494
million dollars. Then, he has smaller
put positions in Intel and Corning. So,
it's very clear Leopold Aschenbrenner is
making a very strong bet in the market
right now. If you don't pay attention,
you might be making a very big mistake
because this guy, I'm not saying he has
info that we don't have, but honestly,
this story kind of smells like a like
kind of like a Nancy Pelosi here because
this guy is a little too good. At age
24, this guy has literally built his
fund. You can see how his fund has grown
since Q4 2024 and then what happened in
just 15 months. So, what he's doing
right now is a broad bet against a huge
part of the current AI hardware and
semiconductor trades. And that is what
makes the filing so interesting because
the long side tells a very different
story. His biggest long common stock
position is still Bloom Energy at
roughly 879 million dollars plus another
rough 55 million dollars in call
options. He also owns about 724 million
dollars of SanDisk plus roughly 389
million dollars and call options. So,
Leopold Aschenbrenner is not only long
stock in SanDisk, he's long call
options. We're seeing a very interesting
bet because obviously call options is a
massive bet. If it goes down, your call
options lose all their value. So, he's
making a very clear message right now in
the market on his own beliefs. Now, he
also has 556 million dollars of Core
Weave and he has 141 million dollars in
call options in Core Weave. And then,
you get to IREN at roughly 400 million
dollars. Core Scientific, Applied
Digital, and Ride Platforms at about 142
million dollars. And then, And his
smaller position, CleanSpark at $100
million.
This is not somebody saying that AI is
over. It's actually pretty much the
opposite. From my observation, he thinks
that semiconductor trade is overcrowded
and not worth it, and that a lot of
investors are going to be heading for
the exits and making a new rotation. So,
this is somebody that's saying the
market may be paying too much for the
design layer and not enough for the
deployment layer. And when you compare
this to the previous quarter, the shift
gets even clearer. The big semiconductor
book is new, while several
infrastructure names were either
maintained or increased. Coreweave moved
higher, Applied Digital moved higher,
IREN moved higher, Riot moved higher,
and CleanSpark jumped sharply. So,
Leopold Aschenbrenner seems to have, you
know, the wisdom, the foresight, the
technical analysis, or just the industry
experience that has been telling him
that some of his plays, including
SanDisk, that is higher as well, has
been very successful for situational
awareness. He's leaning away from the
crowded chip winners and leaning in to
power, memory, Neocloud in data center
capacity. Now, let's talk about why
those names make sense if that is a
thesis. So, Coreweave and CoreScientific
are basically expressions of compute
deployment. Applied Digital, Riot,
CleanSpark, IREN, Bitdeer, and Bitfarms
are tied in different ways to data
center capacity, power access, or
infrastructure that can be repurposed
for AI workloads. Bloom Energy is the
obvious power angle, which he has liked
for a long time now. And the stock has
run so much. It's like $350 per share.
So, this stock kind of seems obvious to
me, but he's still holding it. SanDisk
is the memory angle, so obviously all
this data has to be stored somewhere, so
the memory angle is very important. And
I'm pretty bullish on SanDisk myself
personally. Now, these picks is very
different. It's a different map
completely of the AI trades that average
retail investors has on top of their
head. This is completely the opposite of
most likely what many investors are
doing, and that is where it gets really
interesting as an opportunity for
investors looking at what to do today.
Cuz most people still think that AI
investing means you just buy GPU
winners, and then you're done. What the
filing is really arguing is that the
harder problem now may not be designing
the chip. That is already kind of
yesterday's issues that are already
pretty much solved. It may actually
today be powering those chips, housing
them, cooling it, and actually getting
it online fast enough. And that is a
serious point. If compute demand keeps
rising, then the next bottleneck may
belong to whoever controls electricity,
memory, data center slots, and physical
capacity. And that is the real analysis.
So, the actual question now is where the
next dollar of AI capex is going. Now, I
also want to be careful here, because
this is where most people overreact. A
filing like this does not prove that
Nvidia's broken. It does not prove that
Broadcom is done for or semi suddenly
stopped working. What it proves is that
at the end of the first quarter,
Situational Awareness LP had a very
large put book positioned for a lot of
these stocks going down against those
names while still owning a lot of
AI-adjacent infrastructure on the long
side. So, this is actually what a hedge
fund is for. Hedge funds, the name
hedge, was originally done for
protection. That's where options also
came into place. A hedge or buying a put
option was for hedge funds back in the
day to protect investors from downside.
That's exactly what Leopold
Aschenbrenner is doing. He's making
large bets on what he thinks is going to
go down, what he thinks is going to go
up. And this is much more than a precise
statement. And once you say it that way,
the debate becomes very clear. He has
put options because he thinks that
semiconductors are overpriced, and then
he has call options because he has a
view that the infrastructure layer in
the AI cooling capacity, electricity, is
going to be in high demand. So, the real
question is whether semis are actually
crowded, where their power and
deployment is becoming the next
bottleneck and whether the market may
end up paying more for physical scarcity
than for more turns of excitement in the
obvious chip names that have already
ran. So, that is the conversation that I
personally care about because that's
going to give me insight and my discord
community on what we could be doing next
that could be the next money-making
opportunity within the stock market. So,
my own read is that the most interesting
part of the filing is not actually the
bearishness. It's actually the
selectivity. Because if he were simply
calling the top of AI, the book would
look very different. Instead, the book
says something more nuanced. It says
that you can still believe AI spending
is real while thinking that the best
risk reward may be shifting away from
names that already is owned by everyone
else. That is very different from saying
Nvidia is doomed and honestly, that
distinction matters a lot. Nvidia can
remain a phenomenal company and still be
a harder stock to buy after huge move if
expectations are already extreme. And at
the same time, power, memory, and
infrastructure names can still have room
if the market has not fully priced how
important they have become in the next
stage of the build-out. This is why I
would not treat this as an all or
nothing call. I would instead treat this
as a watch list call. If I were doing
the work from here, I would split the
spaces into buckets. First, the obvious
one is chip leaders. Second is memory.
Third is power. Fourth is neo cloud and
data center capacity. That one I'm
personally most bullish on myself. And
then, I would ask whether expectations
already look perfect and where the
bottleneck is getting worse faster than
the market is appreciating. This is
exactly how a retail investor should use
this information. Use it as a smarter
question. Where is AI spending actually
flowing next? Because that is where the
next winners probably come from. Now,
here is my personal pushback on
Leopold's bearish side. I still think
betting too aggressively against Nvidia
is very dangerous. This is the leader in
all of AI. They're supplying the whole
entire AI boom. And betting against
Nvidia to me doesn't really make sense
because that's just timing. And I mean,
unless Leopold has information on
exactly when the stock is going to go
down, this is not something that I would
look at as a retail investor. Nvidia
still has real software lock-in, real
customer demand, and real ecosystem
advantage. So, if his view is that
Nvidia is simply over, I would actually
completely disagree with that. But, if
his view is that the semis can remain
great businesses while the better
incremental upside move to power,
memory, and deployment, well, I can
agree with that. I do think that is a
strong argument. The right takeaway is
to notice where a very smart, very
aggressive investor seems to be thinking
is the next move within the stock
market. In this case, the answer looks
pretty clear. Power, memory, deployment,
and physical AI infrastructure. So, if
you're a retail investor, I would leave
this video thinking about two questions.
First, am I too concentrated in obvious
AI winners just because they worked in
the first phase of the AI build-out?
Second, if the bottleneck really is
moving from chip design to real-world
deployment, which names are actually
going to benefit the most from this
shift? That is the part of the video
that matters most for you as a retail
investor. The long book tells you that
AI stocks are still going to explode. Do
you believe that Leopold Aschenbrenner's
bearish call on semis is overblown? Let
me know in the comment section below.
Thanks for watching. Make sure to like
and subscribe. It's totally free, and
I'll see you in the next video.
Ask follow-up questions or revisit key timestamps.
Leopold Aeschbacher, a notable young AI-focused investor, has made headlines with his fund's 13F filing, which reveals significant bearish put positions on major semiconductor companies like Nvidia and AMD, while maintaining bullish long positions in AI infrastructure, power, and data center companies. The video argues this is not a general rejection of AI, but rather a strategic rotation, signaling that while the 'easy money' in popular chip stocks may have been made, the next phase of growth will likely shift toward the physical infrastructure and resources required to deploy AI at scale.
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