Do you want to know which AI stocks are

going to run next and make investors

life-changing money? Well, there is an

investor named Leopold Ashen Benner.

He's 24 years old, and last year he was

managing $1 billion, and he was in

charge of investing in AI, New Frontier,

emerging technologies. Today, that $1

billion is now worth over $5 billion.

This guy is younger than me by a large

margin, and he just went on a run that

made more money than any fund in the

world of AI. The fact that AI right now

is a very competitive market means that

the competition is stiff. So clearly

this guy Leopold is doing something

different than everyone else. So I

looked into his 13F filing on all his

positions and I want to share with you

my findings today. Some of these stocks

I have already caught on to myself

before doing the digging and other

stocks really shocked me and they were

new to me. You can see his portfolio

performance in Q1 2025. The value was

$257 million of his fund. In Q2, he

surpassed 600 million. And as you see,

each and every single quarter, his fund

has gained enormous value, sitting at

over $4 billion today in Q2 2026. This

guy is young and on a generational run,

but after doing my research, this isn't

your traditional investing story.

Doesn't seem like luck. He's done a

major recent pivot, and it's essentially

following his methodology, which he

listed in his 165page thesis called

situational awareness. You can Google it

or you can download my free guide that I

put summarizing his work in which stocks

I personally believe are the ones to

hold for the next 12 months in the

description. He basically predicts we

are going to reach AGI by 2027. In this

massive essay, he writes a story of how

he sees the AI revolution unfolding. He

was early on the chips play and now he's

predicting a pivot into infrastructure.

In fact, he recently dumped $300 million

of Nvidia. He dumped other stocks. many

of you also might be holding such as

Micron, Broadcom, TSMC, and many others.

What's risky but likely paid off for

Leopalt is he actually had Nvidia put

options, meaning he purchased puts

betting that Nvidia would fall and

Nvidia did have a nose dive from $195

per share to 165 in late February from

when he likely had the position open in

his filings. What stood out to me is his

approach is very much picks and shovels

play. He has shifted his focus to the

major constraint that investors haven't

really invested in such as energy and

infrastructure. Before launching his

fund, he worked at FTX during the Sam

Bankman Freed era. He later joined Open

AI where he became wellknown for his

views on AGI and AI acceleration. He's

also engaged to the chief of staff to

Anthropic CEO Dario Amodi, which means

that he is connected to some of the most

influential people building frontier AI

systems today. This sort of gives me

like a Nancy Pelosi feeling if you know

what I mean. So, let's look at some of

the positions and discuss them because I

think there's a lot for us to learn. And

again, if you want the full guide on his

holdings and what I believe to be also

the most interesting holdings for 2026,

just pause and download my free guide on

Leopal's holdings in summary of

situational awareness after I spent an

entire weekend, probably even more than

a weekend going through all of that 165

pages. So, let's get into Leopold's top

five biggest holdings in the portfolio

according to his recent 13F filing

because this is where the story really

gets interesting. Leopold Ashen Brener

is not just betting on software. He's

not just betting on one model. He's

betting on the physical supply chain

underneath AI. And the first stock is

Nebius, ticker symbol NBIS. And I'm not

surprised at this topic at all. This is

actually my personal topic. And I've

gotten into NBIS when it was sub $100

per share in my Discord community. You

guys know that I've talked about this

stock multiple times. Now, Nebius is

what people call a Neocloud. Basically,

it is trying to provide AI cloud

infrastructure to companies that need

huge amounts of data, huge amounts of

GPU commute, but either cannot get

enough capacity from Microsoft, Amazon

or Google and you know, Oracle or they

do not want to be fully dependent on

them which is really interesting and

provides a massive opportunity for

Nebus. So, here's why this matters. If

AI demand keeps growing then compute

becomes basically oil. Everybody needs

it. People are going to fight for it.

And the companies that can secure GPUs,

data centers, power, and customers all

at the same time can become extremely

valuable. Nebas became much more

important recently because it is no

longer just a story stock. It now has

massive customer validation. The big

headline that really solidified it for

investors with Nebius is the Microsoft

contract that was basically

multi-billions of dollars. That was an

AI infrastructure deal with Nebus. And

then actually what happened after that

multi-billion dollar AI contract was

that Meta became part of the story as

well. So then investors really start to

realize that hey you know kind of wait a

second here. This is not really a tiny

cloud company. This is actually landing

the type of customers that prove the

demand is real and this company very

well may make investors very wealthy. So

the biggest reason investors are excited

is simple. Nebus looks like it could

become one of the main independent AI

cloud providers in the world. And the

reason that matters is because the

hyperscalers are really capacity

constraint. Microsoft is trying to get

more capacity. They really need it. And

the wild part is they just can't really

get it. So when a company as big as

Microsoft has to go outside and sign

deals with companies like Nebius, you

really understand as an investor that

this bottleneck is real. And this

company has a big chance to just make a

bunch of revenue off of hyperscalers. So

really that money flowing downstream

from a hyperscalers, this is where

Nebius is really just profiting. They're

basically making handover fist income.

So they're basically taking advantage of

this capacity constraint. So you know a

lot of skeptics right now are saying

that you know yes we have demand today

but you know how about tomorrow right?

How about 2030? Will this demand go

away? And of course there is a real risk

you know for Nebas as well as every

single Neocloud company that yeah maybe

there is not going to be demand. However

I just think that's unrealistic. You

know the the compounding demands that

we're going to have in the future is

going to greatly surpass the supply. But

if supply catches up or GPU rental

prices fall down, this can be a very,

you know, kind of risky company. And

it's really interesting because

Leopold's biggest position is Nebius. So

it makes me think, what does he know

that we don't, right? You know, he's

engaged to Anthropic CEO. You know, he's

had a stint at Open AI. This guy has

outperformed everyone. I mean, at 24

years old, this guy's, you know,

ridiculously rich. He's stupid rich. So,

you know, for me, when I look at his

biggest position, and I've been in it

since $100 per share and actually subbed

that, got my Discord community into it.

I really think there's a long runway

here. I think this is going to be some

sustainable growth in the next three to

10 years. And because there's very few

global AI infrastructure platforms

outside of the big four cloud companies,

Nebius really has a very good

opportunity. I also really like Nebas's

management. The CEO Arcadi Volish, this

guy created Yandex. He was one of the

founders. And this is really important

because um that technology company that

he you know built in Russia he was

basically building search maps machine

learning cloud infrastructure as you

know as the creator there and CEO and

everything. He is very good at large

engineering organizations and I think

that this experience is going to make

Nebius a ton of money and that

background really matters because Nebus

is not just really trying to rent GPUs

bigger vision that they have right this

is what I actually think they can

fulfill on this vision and this is why

Mr. Leopold Ashenberger has this company

is their big vision is to build a full

stack AI cloud. That means physical data

centers, GPUs, cloud software, developer

tools, and eventually higher margin

services layered on top of all that. So,

you know, I almost can't even fathom the

runway that they have in front of them,

right? This stock was sub 100 when I was

looking at it. I'm like, okay, I think

this is going to be a $200 stock. It

surpassed that. It surpassed that much

faster than what I thought. Right? So

the risk that I took has really paid off

for me and uh my discord community is

really happy and I plan to continue to

hold this and kind of leopald is kind of

confirming my own research that I did.

So now I was looking into his kind of

thought process on AI and how he thinks

AGI is going to be here with us in 2027

which is only 6 months away. I'm very

excited to see what's possible with this

stock. Now there is some competitors to

Nebia. So you know they compete with

Coree. I ran is a competitor, Crusoe,

Oracle Cloud and obviously the big big

giants right AWS, Google Cloud. So, and

Microsoft Azure as well. So, you know, I

think that there is a lot of competition

out there. But, you know, look, if you

compare the giants, Nebius is very

nimble. You know, being nimble is

actually a good thing. When you're a

smaller company, you can get things done

a lot faster and a lot more efficiently.

Honestly, you can get things done

faster. There's not the whole chain of

command as much. You have a huge

company, right? So, it does not have to

really support every type of enterprise

cloud workload out there. It doesn't

have to really directly directly

compete. Can actually specialize in, you

know, AI infrastructure. So if you

compare that to the Giants, you know,

they can be more specialized, which

means that they can have more secure

revenue and consistent revenue in the

future. Now, if you look at their

balance sheet, it's it's not as strong.

So I guess what Leopold really likes

about the company is it's higher risk,

higher reward. And obviously, he knows

something that I don't know. I bullish

on the stock myself, but you know, he

has a, you know, pretty big position

size on it. So again, you can download

his holdings. You can see kind of his

reasoning for it and and also my

reasoning. You can kind of compare and

make your own conclusion here. But Neb's

here looks really attractive. I can see

one of the main reasons he likely has it

is that his bet on AI compute demand. He

thinks that it's going to grow so fast

that the pie is probably just going to

dramatically get bigger. So Nebius

captures the overflow and specialized

workloads that the hyperscalers cannot

serve fast enough. And guess what? You

know likely what the crazy part is if AI

compute demand keeps compounding, Nebius

could become one of the most important

public cloud infrastructure companies in

the world. Not because it beats

Microsoft, but because even Microsoft

needs companies like Nebius. So what

Leopold's doing here is he's really

playing into the ecosystem and looking

at downstream what companies are going

to be benefiting from this AI trend,

right? Not just the chip companies like

Nvidia, but kind of more downstream who

is benefiting. And compared to bigger

companies like AWS, AWS is the better

business today, but Nebius might be

better positioned for specific

bottlenecks of new AI capacity because

its entire company is built around one

single problem. So is the company cheap

right now? I don't think so. I think a

big part of Leopal's holdings and his

fund did so well. Part of it is Nebius,

but he also has a lot of smart plays,

which we're going to cover in this

video. But I want to look at something

called asymmetric upside, right? I want

to kind of play around here and go into

the idea of what if this is super early.

What if we're super early in the innings

of Nebia stock or just general in AI?

So, let's let's focus on Nebia stock. If

Nebia stock went from 250 to a,000, is

that possible? What could even, you

know, get it to that point? Well, what

could make it a monster winner is

actually very simple. more hyperscaler

deals, more AI lab deals, faster

capacity deployment, and proof that this

is not just revenue growth, but actually

profitable revenue growth. Right?

There's one thing that's revenue growth

and you're losing money, and there's

another thing where you're making

revenue, and that's actually coming down

into your cash flow, your income

statement. You're not negative cash

flow, you're positive cash flow. So, the

next major catalyst is really new

contracts announcements, which I can't

predict. I don't have a crystal ball,

but apparently there is something here

for investors to really look deeper

into. So updates on power capacity, data

center buildouts, customer concentration

is really important and whether Nebius

can show operating leverage as revenue

continues to scale. Now the second stock

that Leopold has is Bloom Energy. So

ticker symbol BE and this one is really

fascinating because it's not really a

traditional AI stock at all. Bloom

Energy does not make GPUs. It does not

build AI models. Well, it does not run a

chatbot. Bloom makes fuel cell systems

that can generate power on site. And

that might sound boring until you

understand one important thing. The

biggest bottleneck in AI, entire AI

might not be chips. Right now, it might

seem like chips are really important,

but it's not going to be chips forever.

The real bottleneck is likely

electricity power. How much electricity

can AI data centers and all these

demands actually consume? It's enormous.

And the bottleneck is clearly

electricity. So because AI data centers

are basically giant electricity eating

machines and that's kind of unfortunate

for the environment and other things but

here as investors you know financially

they are electricity eating machines and

the economy GDP governments politicians

etc they want to expand this technology

right so if you look at the bottleneck

the grid they cannot move fast enough

you cannot have really enough land to

power these big huge energy costs so at

the end of the day you can have

customers you can have tons of demand

you can have tons of chips but if you

cannot get enough energy if you If you

cannot get enough power, none of that

really matters. That is why Bloom is

really important right now. So, I see

why Leopold has this as a major position

in his fund. Bloom is becoming a way for

AI data centers to bring their own

power. And recently, the story changed

because Bloom is starting to get real

data center traction. We've seen

partnerships and projects tied to

companies like Cororeweave, Oracle,

Brookfield, and Nebus. The stock has

moved like investors just suddenly

realized, wait, power is not a side

issue. Power is the main issue. Power is

the AI trade. The biggest reason

investors are excited is that Bloom

could become one of the key solutions

for time to power. That phrase matters.

Not just cheap power, not just clean

power, which matters. Time to power. If

a company can get a data center running

one or two years faster because it uses

on-site power instead of waiting, you

know, forever for a grid upgrade. That

is incredibly valuable. Time is money.

You might not make a lot of money on you

know a small amount of capital but a

data center it can be you know hundred

million plus dollars right so when you

have one or two years that's faster and

you put an interest rate on that like

15% that's tens of millions of dollars

right not to mention cash flows come

sooner so cash today is more valuable

than cash tomorrow so the biggest reason

investors are skeptical though is also

kind of obvious fuel cells have

disappointed investors before and the

industry has had some you know hype

cycles the technology can be very

expensive and a lot Bloom systems still

depend on natural gas. And even if fuel

cells are cleaner than certain

alternatives, this is not some magical

carbon-f free solution in every case. So

when I was looking into Bloom Energy, I

know it's very popular in terms of

retail investors right now. But really

to me there is also a scale question. It

is one thing to power a smaller site.

It's another thing to power enormous AI

campuses that need hundreds of megawatts

or even gigawatts over time. So the bull

case is that Bloom Energy becomes the

picks and shovels power provider for AI

data centers and that very well may

happen to some degree and the CEO Sidar

is huge part of the story. His

background is actually amazing. So

before Bloom he worked in technology

connected to producing oxygen on Mars.

He was a professor. He worked with NASA

and then he co-founded Bloom to bring

fuel cell power generation to basically

worldwide. So I think that you know

great mission, great background. I

really like to look into CEOs. That's

very important. So, I think that Bloom

Energy is a really interesting pick

within Leopold's portfolio. And I'm

considering I'm going to do some further

research into how much of a position

size I want to enter into my portfolio.

So, this is really a great founder

market fit story. That's also what I

like about Bloom because Bloom is not

some company that pivoted into AI last

week. It has spent decades building a

very specific energy technology. AI just

created the urgency that they finally

make the business model work at scale.

So, what has to go right here for Bloom

Energy? And you know, why is Leopold

likely holding the stock? Well, data

centers need to keep demand fast,

reliable, and on-site power. Bloom needs

to prove it can deploy at a much larger

scale. Margins need to hold up and

customers need to decide that paying for

Bloom systems is worth it because

alternative is waiting too long for grid

power. So, let's talk about kind of what

could go wrong. But one of my goals here

at Invest with Henry in what I do in my

one-on-one coaching is, you know, it's

pretty simple to look at option

strategies. It's pretty simple to really

understand which companies could

benefit, but it's another thing to

really understand risk management, how

much to have in certain positions, when

to cut positions and saving money is

just as important as making money. So,

that's really what I focus on. So,

here's one of the things that I looked

into with Bloom and what could go wrong.

And there's kind of a lot. Natural gas

turbines could be cheaper. Utilities

could speed up grid connections. Smaller

modular nuclear could become a long-term

competitor. Battery storage could

improve. Local communities could still

push back. And if Bloom cannot deliver

at scale customers that really needed to

be at bigger scales, well, the story

could break down. So, the market might

be missing that Bloom is not only

competing on energy cost, it is also

competing on speed, which right now does

look very positive. So overall I see

again Leopold has this as a major play

because it has a lot of volatility which

means that it may have asymmetric

upside. If a data center owner can

generate revenue sooner because Bloom

helps the site organize and get energy

faster than the economics are not just

about cents per kilowatt hour. They're

also about time. So there's two really

big factors working here. The biggest

competitors are GE, Vernova, Seammen's

Energy, Caterpillar, Cummins, uh,

Dorsson Fuel Cell, Plug Power, U,

Ballard, and there is other competitors.

Bloom's advantage is modular on-site

deployment. So, it can be installed

closer to the load. It can reduce

dependency on the grid cues, and it can

be positioned as a lower water, lower

emission alternative to some traditional

power setups. So, what does Leopold see

here? What would make Bloom a monster

winner? What would make this opportunity

so big that can help him go from 1

billion to 5.5 billion once? Can he, you

know, basically turn his fund from 5.5

billion now into 20 billion, right? How

does he do that again? And why is he

looking at Bloom? Well, if on-site power

becomes standard for AI campuses and

Bloom becomes one of the default

vendors, that would turn Bloom from a

clean energy turnaround story into a

core AI infrastructure company. Simple

as that. And that asymmetric upside

would yield investors a very, very

handsome profit. Now the third stock

that Leopold has is SanDisk. So ticker

symbol SNDK. And this might be the most

misunderstood one on the entire list

because when people think about AI

chips, they think about Nvidia GPUs.

Then maybe they think about AMD. Maybe

then they think about Broadcom or custom

AI chips. AI creates a ridiculous amount

of data. training data, model

checkpoints, inference logs, vector

databases, agent memory, synthetic data,

video data as well, physical AI data,

robotics data, all of that has to be

stored somewhere, right? And Sandesk is

a major player in NAND, flash memory,

and SSDs. This stock is important right

now because AI is turning storage from a

boring commodity into a potential very

big bottleneck. And that is huge. Data

has to be stored somewhere. For years,

memory and storage were cyclical

businesses. Prices go up, companies

overbuild supply, then prices crash, and

everybody hates the stock all over

again. Very big volatility. But the bull

case now is that AI demand is so large

that the cycle could last a lot longer

than normal. What changed recently is

the earnings power as well. This is

something that I have caught on to as a

potential opportunity. Sandesk has been

putting up numbers that look almost

ridiculous compared to where the stock

came publicly after the Western Digital

spin-off. Revenue exploded, earnings

exploded, and data center demand

exploded as well. And now management is

talking about longerterm customer

commitments, not just short-term spot

prices. This is what investors are

excited about. So, could Leopold know or

have some type of information that could

mean that SanDisk has more of these

relationships that are going to build

and more interesting announcements

ahead? Well, looking into SanDisk, they

are not just excited that NAND prices

are up. They're excited that, you know,

overall the company might become a more

strategic supplier to hyperscalers and

AI infrastructure companies. But again,

I'm going to give you both sides of the

story. The skeptics's case is strong,

too. Memory is still memory. When price

is good, everybody thinks it's

structural. When supply comes online,

prices roll over, margins collapse, and

people remember why these stocks used to

trade at low multiples, then the stock

comes crashing down. What I think right

now is probably Leopold has really good

timing. Of course, this guy has a lot of

connections. He knows a lot about, you

know, the companies that he's investing

in and he likely has some type of

advantaged information. He has

connections, let's say. I'm not sure.

This is just my thoughts and opinions.

So, when I look at Sandis as a company,

the stock is up a lot, right? But I

still actually think it could be

attractive here. So the bullc case for

SanDisk over the next three to five

years is that nan flash becomes a

critical layer of AI infrastructure

especially as inference and agentic AI

create more persistent storage needs. So

that is the key phrase persistent

storage. Training a model is one thing

but if AI agents are constantly working

creating files referencing history

searching databases and generating media

then storage demand could grow in way

more capacity and people right now are

underestimating that. And I suspect that

to be true because even, you know, I was

using Chai GPT and I asked it to create

an image. Right now, I feel like they're

just creating so many images and that's

just only really the beginning. Right

now, there's just so much image

generation and that's just the

beginning, right? There's going to be

more video generation and more demands

from that side as well. So, looking at

the management, the CEO is David Goker.

He uh previously ran Western Digital and

before that he was a senior executive at

Cisco. And that matters because SanDisk

is not just a consumer memory card

company anymore. it needs to sell into

enterprise hyperscalers and data center

customers. So, Geoeckler has enterprise

technology background for that.

Management's recent capital allocation

also matters because SanDisks announced

a major buyback after huge earnings

growth. And again, you guys know that on

this channel I look at opportunity

within stocks. I use options to generate

income on those stocks. I use sometimes

simple strategies and other times I've

used growth strategies within my

personal portfolio that I cover on my

Discord community. And one kind of topic

that I like to look at is major buybacks

because that's something that is

basically what I call or that is called

financial engineering. A company is

financial engineering by buying back

their shares and basically betting on

themselves, right? So that could be

really smart if a company believes the

market is still undervalued because

there's less shares outstanding. So

aggressive buybacks create less

outstanding shares, making the shares

that are outstanding more valuable. The

most important number investors need to

know is revenue growth, data center

revenue growth, nan pricing, gross

margin, customer commitment, and free

cash flow of the company. Of course,

Leopalt has likely done all of this

research and he sees something very

valuable in the company. I've done my

own research, and I think SanDesk right

now is trading at fair value. The stock

is already up a lot. So the next

catalyst that would have to bring the

stock higher would have to be some type

of contract renegotiation more you know

opportunities in the market or simply

their biggest competitors such as

Samsung Western Digital having a slip up

somewhere. So compared to those

companies SanDisk has a cleaner NAND and

flash storage story which is what I

think is the major bullcase here. Now

the fourth stock within Leopold's fund

is cororeweave ticker symbol CRWV.

This is the name that probably most

people know best within this group.

Cororeweave is one of the original

Neocloud winners. It started as a crypto

mining operation pivoting into GPU cloud

and they have become very tight, very

buddy buddy with Nvidia. It became one

of the most important AI infrastructure

companies almost overnight through that

relationship. Right? When you have a

good relationship with Nvidia, the

market understands that there's a lot of

cash flow. There's a lot of money that's

about to be flowing to that business

that has, you know, partnered up or have

has a relationship with Nvidia. And the

reason why cororeweave matters right now

and is likely within Leopaul's holdings

is that is basically the public market

test case for the entire AI cloud

thesis. If coreweave works then

investors will believe more in Nebus,

Iran and other neo clouds because core

is pretty much the leader within this

right. If coreweave breaks then the

whole group probably gets questioned as

well which is also really valuable

because those companies could lag

coreweave when coreweave has earnings

when they have an announcement or news

since they are pretty much the leader

then their stock jumps up significantly.

So potentially there could be something

really big on the horizon for coreweave

the biggest reason investors are excited

is the backlog. So when I looked at the

backlog is really huge. Cororeweave has

signed massive deals with some of the

biggest AI customers in the entire

world. Meta, OpenAI, Microsoft

Anthropic. So these are not small

customers. These are the exact customers

that everybody wants. These customers

have the biggest wallets. They have the

biggest chin wallets and they're

spending ton of the money that they

have. So this really proves demand and I

actually believe demand is likely to

become stronger and that's likely why

Cororeweave is a very interesting play

right now. The biggest reason investors

are skeptical is really the balance

sheet. Coreweave is spending enormous

amounts of money to build

infrastructure, has very heavy debt, it

has lease obligations, it has huge

interest expenses, and it needs to keep

executing perfectly because the company

is basically sprinting and they have

really heavy, you know, 25 30 lb weight

vest on top of them. So, you know, it

it's kind of like an uphill battle right

now, but I I see opportunity within the

company and within the free guide that I

have in the description, I talk more

about why I think this play is

interesting, but it's less favorable

compared to the next stock on our list.

Now, the fifth largest holdings in

Leopold's portfolio, which I also

personally love and I have in my

portfolio, is Iren. This one might be

the highest risk, highest chaos name in

the group. Iran used to be known as a

Bitcoin mining company. And that matters

because Bitcoin miners are basically

power infrastructure companies disguised

as crypto companies. They already know

how to find cheap power. They know how

to build data centers and they know how

to run highdensity compute. And they

already have sites where electricity is

the main input. Then AI showed up and

completely changed the unit economics of

everything. Economically, Iran decided

to shift and because the question now

became instead of using all this power

for Bitcoin mining, can we use it for AI

compute? And that's where Iran found a

gold mine because IN signed major AI

cloud deals with Microsoft and Nvidia.

This company really became a hot stock

and this is a company that I have

invested in when it was $30 per share. I

think this makes a lot of sense in Leo

Paul's portfolio. It is one thing for a

former Bitcoin miner to say we're

pivoting to AI. Everyone can just say

that. It's another thing to have

Microsoft and Nvidia involved within

your pivot. That's what gives the story

a lot of credibility. The biggest reason

investors are excited is Iron's power

portfolio. In AI infrastructure, power

is the new land grab. If Iran has

secured large amounts of power in places

like Texas and can turn that into AI

data center capacity, then the company

could be sitting on extremely valuable

infrastructure. The CEO structure is

also interesting because IN is run by

brothers Daniel Roberts and Will Roberts

as co-CEOs. Daniel Roberts has a finance

and infrastructure style background

including time at McGuire and that

matters because this is now a capital

market and infrastructure execution

story. Management is making aggressive

capital allocation decisions. Now I ran

they are basically trying to convert a

power first asset base into a GPU cloud

business as quickly as possible. That

could be really brilliant but it could

also be too much too fast. So there's

something that Leopold sees within this

company that is likely a quick catalyst

within Iran's future. The most important

numbers to me is that investors need to

know are contracted power, energized

power, GPU count, AI cloud revenue run

rate. A lot of this data I'm getting

through reading reports that IN has

through their management and their

investor relations. Upon doing my own

research, the bookcase for me in the

next 3 to 10 years is that I think IN

could be a $100 stock within probably 12

to 18 months. I can see what LEO

policies within this company. And in

other words, IN does not really need to

become an Amazon Web Services of the

future. Doesn't really need to do that.

It needs to take power, land,

facilities, and chips and turn that into

contracted AI compute faster than its

competitors. So, this is a really

interesting holding that Leopold has,

and I have this stock in my own

portfolio. I read might actually be one

of the most leveraged public bets on the

idea that power access is more valuable

than cloud brand in the next phase of AI

infrastructure. So, is this stock cheap

right now? Well, not on the current

financials, on current revenue and

losses, this is really speculative. But

on future contracted AI revenue and

power capacity, bulls can argue the

market is still not fully valuing what

IN could become if it executes. And if

they execute over the next 12 months,

then very well Iran can be a hundred

plus dollar stock per share. Especially

if Microsoft and Nvidia are not one-off

deals. If those deals become proof that

Iran can repeatedly convert power sites

into AI cloud revenue, then the company

would be much more valuable. But if the

deals are difficult to execute or

margins disappoint or the business needs

too much capital, then this could be a

hard point. Of course, Leopold trades

stocks. He's not always holding these

stocks for long periods of time. So, a

lot could change and I'm going to be

following his 13F filings. If you get

the free guide in my description and you

sign up for my email list, I'll also be

able to update you and send you further

emails on any changes within his

holdings when I look at his 13F filings.

So, when I look at all five of these

names together, I think that the theme

becomes very clear. Nebius is the AI

cloud platform bet. Bloom Energy is the

power bottleneck bet. Sandesk is the

storage bottleneck bet. Coreweave is the

proven Neocloud scale bet. And IN is the

power to compute conversion bet. And

this is why the title is forget Nvidia.

Not because Nvidia doesn't matter.

Nvidia absolutely matters. But because

by the time everybody knows Nvidia

matters, some of the most interesting

opportunities may be in the companies

trying to solve the next order of

problems that Nvidia success creates.

More GPUs create more power demand. More

power demand creates more pressure on

the grid. More AI workloads create more

storage demand. More storage demand

creates memory shortages. And more AI

labs create more demand for specialized

cloud capacity. And that's the basket

that Leo Paul appears to be betting on.

He's not just betting on AI models. He's

betting on the industrialization of AI.

And now this is the real story. The risk

is that the entire group is priced for a

lot of success. These are not sleepy

value stocks. These are volatile,

capital inensive, high execution names.

If AI infrastructure spending slows

down, these stocks can fall very hard.

If financing conditions tighten, these

stocks can fall very hard. However, if

there's more contracts, if there's more

AI demand, and if the compounding

continues and this AI revolution that

we're in continues to build out, these

companies can become very large winners.

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