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AI’s Smartest Investor is Betting on This Energy Stock (High Growth)

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AI’s Smartest Investor is Betting on This Energy Stock (High Growth)

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492 segments

0:00

There are life-changing returns being

0:01

made investing in the AI market right

0:03

now. And when it comes to investing in

0:05

AI, there's seemingly nobody better than

0:07

Leopold Aschenbrenner, who is a fund

0:10

manager who has taken the investing

0:11

world literally by storm. This guy's

0:13

only 24 years old, and he has managed to

0:16

really figure out, predict where the AI

0:18

bottlenecks are, and investing in those

0:19

companies ahead of massive runs. Now,

0:21

what we're going to do today is I want

0:23

to talk about a specific stock that he

0:25

has recently just purchased. It's

0:26

actually one of his core positions, and

0:28

he announced this in his recent 13F

0:30

filing. I've done a deep dive into this

0:31

company, and I will reveal the position

0:33

that he's actually acquiring, and

0:34

actually look into what he might be

0:36

seeing with this company. For those

0:37

unfamiliar with Leopold Aschenbrenner,

0:39

he has become one of the most closely

0:41

watched investors in the AI space. After

0:43

his time at OpenAI, he went to launch

0:45

Situational Awareness LP, which is a

0:47

fund that has attracted enormous amounts

0:48

of attention from investors for its

0:50

AI-focused investment strategy and rapid

0:53

growth. Here's Leopold Aschenbrenner's

0:54

performance from Q4 2024, his 13F

0:58

filings, and as you can see, his AUM has

1:00

absolutely exploded, and now it's over

1:03

$13 billion.

1:04

What really put Leopold on the map was

1:06

his ability to identify major AI

1:08

infrastructure trends before they became

1:10

mainstream. So, back in 2024, right, he

1:12

published a series of essays arguing

1:14

that the market was dramatically

1:15

underestimating both the scale of AI

1:17

investments that was coming, and also

1:19

the speed at which artificial

1:20

intelligence and general intelligence

1:22

could develop. AGI is basically his

1:24

biggest prediction because he says that

1:26

by 2027, which is only next year, that

1:28

AGI is going to be a thing. And for

1:30

those that don't know, that basically

1:31

means artificial general intelligence.

1:33

Since then, several of his highest

1:34

conviction investments have delivered

1:36

exceptional returns. Companies like

1:38

SanDisk, Bloom Energy, they have become

1:39

standout winners as investors began to

1:41

recognize the same bottlenecks that

1:43

Leopold had been highlighting for

1:44

literally years. So, he was super early

1:46

on a lot of these trends. And that

1:48

brings us to the company that we're

1:49

going to be discussing today, which is

1:50

Bloom Energy. If you follow Leopold's

1:52

investment philosophy, you'll know that

1:54

he spent a lot of time thinking about

1:56

bottlenecks. And right now, few

1:58

bottlenecks are more important than

1:59

energy. As AI data centers continue

2:01

expanding, the demand for reliable

2:03

electricity is exploding, making energy

2:05

infrastructure one of the most critical

2:07

pieces of the entire AI story. Bloom

2:09

isn't a typical AI stock, but the

2:11

indirect profit they're making is

2:13

actually very powerful.

2:15

>> And this one is really fascinating

2:16

because it's not really a traditional AI

2:18

stock at all. Bloom Energy does not make

2:21

GPUs. It does not build AI models. Well,

2:24

it does not run a chatbot. Bloom makes

2:26

fuel cell systems that can generate

2:28

power on site. And that might sound

2:31

boring until you understand one

2:33

important thing. The biggest bottleneck

2:34

in AI, entire AI, might not be chips.

2:38

Right now, it might seem like chips are

2:39

really important, but it's not going to

2:41

be chips forever. The real bottleneck is

2:43

likely electricity. Power. How much

2:45

electricity can AI data centers and all

2:48

these demands actually consume? It's

2:50

enormous. And the bottleneck is clearly

2:52

electricity. So, because AI data centers

2:54

are basically giant electricity-eating

2:56

machines, and that's kind of unfortunate

2:58

for the environment and other things,

2:59

but here as investors, you know,

3:01

financially, they are electricity-eating

3:03

machines. And the economy, GDP,

3:06

governments, politicians, etc., they

3:08

want to expand this technology, right?

3:09

So, if you look at the bottleneck, the

3:11

grid, it cannot move fast enough. You

3:13

cannot have really enough land to power

3:15

these big, huge energy costs. So, at the

3:17

end of the day, you can have customers.

3:18

You can have tons of demand. You can

3:20

have tons of chips. But if you cannot

3:21

get enough energy, if you cannot get

3:23

enough power, none of that really

3:24

matters. That is why Bloom is really

3:26

important right now. So, I see why

3:27

Leopold has this as a major position in

3:29

his fund. Bloom is becoming a way for AI

3:32

data centers to bring their own power.

3:34

And recently, the story changed because

3:36

Bloom is starting to get real data

3:38

center traction. We've seen partnerships

3:40

and projects tied to companies like

3:42

Coreweave, Oracle, Brookfield, and

3:44

Nebius. The stock has moved like

3:46

investors just suddenly realized, wait,

3:48

power is not a a issue. Power is the

3:51

main issue. Power is the AI trade. The

3:54

biggest reason investors are excited is

3:56

that Bloom could become one of the key

3:57

solutions for time to power. That phrase

4:00

matters. Not just cheap power, not just

4:02

clean power, which matters. Time to

4:05

power. If a company can get a data

4:06

center running one or two years faster

4:09

because it uses on-site power instead of

4:11

waiting, you know, forever for a grid

4:12

upgrade, that is incredibly valuable.

4:14

Time is money. You might not make a lot

4:16

of money on, you know, a small amount of

4:18

capital, but a data center it can be,

4:20

you know, hundred million plus dollars,

4:23

right? So, when you have one or two

4:25

years that's faster and you put an

4:26

interest rate on that like 15%, that's

4:29

tens of millions of dollars, right? Not

4:30

to mention cash flows come sooner. So,

4:32

cash today is more valuable than cash

4:34

tomorrow. So, the biggest reason

4:35

investors are skeptical, though, is also

4:37

kind of obvious. Fuel cells have

4:38

disappointed investors before and the

4:40

industry has had some, you know, hype

4:42

cycles. The technology can be very

4:44

expensive and a lot of Bloom systems

4:46

still depend on natural gas. Even if

4:48

fuel cells are cleaner than

4:49

alternatives, this is not some magical

4:51

carbon-free solution in every case. So,

4:53

when I was looking into Bloom Energy, I

4:55

know it's very popular in terms of

4:57

retail investors right now, but really

4:59

to me, there is also a scale question.

5:02

It is one thing to power a smaller site,

5:04

it's another thing to power enormous AI

5:06

campuses that need hundreds of megawatts

5:08

or even gigawatts over time. So, the

5:10

bull case is that Bloom Energy becomes

5:13

the picks and shovels power provider for

5:15

AI data centers and that very well may

5:18

happen to some degree and the CEO

5:20

Sridhar is huge part of the story. His

5:22

background is actually amazing. So,

5:24

before Bloom, he worked in technology

5:26

connected to producing oxygen on Mars.

5:28

He was a professor, he worked with NASA

5:30

and then he co-founded Bloom to bring

5:32

fuel cell power generation to basically

5:35

worldwide. So, I think that, you know,

5:37

great mission, great background. I

5:38

really like to look into CEOs, that's

5:40

very important. So, I think that Bloom

5:41

Energy is a really interesting pick

5:43

within Leopold's portfolio and I'm

5:46

considering I'm going to do some further

5:47

research into how much of a position

5:49

size I want to enter into my portfolio.

5:51

So, this is really a great founder

5:53

market fit story. That's also what I

5:55

like about Bloom because Bloom is not

5:56

some company that pivoted into AI last

5:58

week. It has spent decades building a

6:00

very specific energy technology. AI just

6:03

created the urgency that they finally

6:05

make the business model work at scale.

6:07

So, what has to go right here for Bloom

6:09

Energy and, you know, why is Leopold

6:12

likely holding the stock? Well, data

6:14

centers need to keep demand fast,

6:15

reliable, and on-site power. Bloom needs

6:18

to prove it can deploy at a much larger

6:20

scale. Margins need to hold up and

6:22

customers need to decide that paying for

6:24

Bloom systems is worth it because the

6:26

alternative is waiting too long for grid

6:28

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

6:30

could go wrong. But, one of my goals

6:32

here at Invest with Henry and what I do

6:33

in my one-on-one coaching is, you know,

6:35

it's pretty simple to look at option

6:37

strategies. It's pretty simple to really

6:39

understand which companies could

6:40

benefit. But, it's another thing to

6:41

really understand risk management, how

6:42

much to have in certain positions, when

6:44

to cut positions, and saving money is

6:46

just as important as making money. So,

6:48

that's really what I focus on. So,

6:49

here's one of the things that I looked

6:50

into with Bloom and what could go wrong.

6:52

And there's kind of a lot. Natural gas

6:54

turbines could be cheaper. Utilities

6:56

could speed up grid connections. Smaller

6:58

modular nuclear could become a long-term

7:00

competitor. Battery storage could

7:02

improve. Local communities could still

7:04

push back. And if Bloom cannot deliver

7:06

at scale, customers that really need it

7:09

to be at bigger scales, well, the story

7:11

could break down. So, the market might

7:13

be missing that Bloom is not only

7:15

competing on energy cost, it is also

7:17

competing on speed, which right now does

7:19

look very positive. So, overall, I see

7:21

again, Leopold has this as a major play

7:23

because it has a lot of volatility,

7:25

which means that it may have asymmetric

7:27

upside. If a data center owner can

7:29

generate revenue sooner because Bloom

7:31

helps the site organize and get energy

7:33

faster, then the economics are not just

7:35

about cents per kilowatt-hour. They're

7:37

also about time. So, there's two really

7:38

big factors working here. The biggest

7:40

competitors are GE Vernova, Siemens

7:43

Energy, Caterpillar, Cummins, uh Doosan

7:45

Fuel Cell, Plug Power, um Ballard, and

7:48

there is other competitors. Bloom's

7:50

advantage is modular on-site deployment.

7:53

So, it can be installed closer to the

7:54

load. It can reduce dependency on the

7:56

grid queues, and it can be positioned as

7:58

a lower water, lower emission

7:59

alternative to some traditional power

8:01

setups. So, what does Leopold see here?

8:04

What would make Bloom a monster winner?

8:06

What would make this opportunity so big

8:08

that can help him go from 1 billion to

8:10

5.5 billion once? Can he, you know,

8:12

basically, turn his fund from 5.5

8:15

billion now into 20 billion, right? How

8:17

does he do that again? And why is he

8:18

looking at Bloom? Well, if on-site power

8:20

becomes standard for AI campuses, and

8:22

Bloom becomes one of the default

8:23

vendors, that would turn Bloom from a

8:26

clean energy turnaround story into a

8:27

core AI infrastructure company. Simple

8:29

as that. And that asymmetric upside

8:31

would yield investors a very, very

8:33

handsome profit. So, check this out.

8:35

Over the last 6 months, Bloom is up

8:37

270%.

8:39

Now, seeing a stock go up is one thing.

8:41

Obviously, Bloom Energy has gone up a

8:42

lot. It was probably a very risky bet

8:44

because many investors didn't really

8:46

understand this company, and this

8:47

company has very significant volatility.

8:49

But, the more important question is, why

8:51

did Leopold see this opportunity before

8:53

the rest of Wall Street? How did he do

8:55

it? I mean, is he like Nancy Pelosi or

8:57

something? Well, sort of kind of. I

8:59

mean, this guy definitely has some

9:01

information that us regular investors

9:02

probably don't have, allegedly. Not

9:05

really sure, but I think from a research

9:07

angle, what Leopold noticed is that

9:08

everyone was focused on the sexy part of

9:10

AI. Everyone was essentially chasing

9:12

Nvidia or the next model or the next

9:14

chatbot or whatever the next

9:16

breakthrough would be. But, if you're a

9:17

Meta, Microsoft, Amazon, or OpenAI,

9:20

well, eventually, if you think about

9:22

those big companies, then he realized

9:23

that they were going to run into a very

9:25

practical problem, right? Where are you

9:27

actually going to put all of these GPUs?

9:29

You can order these chips, you can raise

9:31

the capital, you can hire engineers. I

9:33

mean, there's lots of engineers for

9:34

hire, but you can't magically just snap

9:36

your fingers and create 500 megawatts of

9:38

electricity, right? So all these

9:40

hyperscalers, yeah, they're buying GPUs,

9:42

they're investing money, and video is

9:44

making tons of revenue, but what else is

9:46

like the problem? And the practical

9:48

problem is electricity. So what I think

9:49

Leopold understood is that Wall Street

9:51

was acting as if power would simply show

9:53

up if needed. He basically looked at the

9:54

problem, he was like, "There is a

9:56

problem here that we're going to get

9:58

into that nobody's really realizing

9:59

here, right?" So in reality, utilities,

10:02

they move very slowly, right? So permits

10:04

take years, transmission lines take

10:05

years, substations, those take years.

10:08

The grid was designed for a very

10:09

different world, okay? So utility

10:11

companies, they're not meant to adapt

10:13

very fast, and they can't just increase

10:14

the amount of electricity that they can

10:16

produce overnight, and that doesn't even

10:18

happen in weeks or months, either. So

10:20

meanwhile, AI companies are trying to

10:21

deploy capacity in weeks and months,

10:23

right? Because that's kind of like, you

10:25

know, slow scaling, like kind of like

10:26

the old world. Now, with this AI

10:28

revolution and AI momentum, companies

10:30

need electricity, and that is a demand

10:32

that was not really foreseen into the

10:34

future, right? We have this new AI

10:36

machine, which only 4 years ago, ChatGPT

10:38

was pretty much a thing. So right now,

10:39

what's happening is Leopold noticed that

10:41

the bottleneck is going to be

10:42

electricity. So that's the mismatch and

10:44

timing opportunity. If a data center

10:46

operator can generate power on site and

10:47

avoid waiting several years for utility

10:49

upgrades, that solution suddenly becomes

10:51

worth a lot more money than investors

10:53

might have initially thought of. So the

10:55

market was focused on who would build

10:57

intelligence, but Mr. Aschenbrenner

10:59

Leopold has basically appeared to have a

11:02

different thought process, and he was

11:03

asking a different question. And the

11:05

question was, who is going to power all

11:07

of these GPUs? The question that you're

11:09

probably wondering, though, this is like

11:11

an even bigger question, is whether Mr.

11:12

Leopold was early or whether he is still

11:15

early, right? because as an investor,

11:16

you're thinking, "Does this opportunity

11:18

still make sense?" And to be honest,

11:19

well, Bloom Energy is no longer some

11:21

hidden stock. It's obviously up like

11:23

hundreds of percent over the last 6

11:24

months. This company has ballooned in

11:26

value. A lot of investors have realized

11:28

that this is probably a smart play, or

11:30

maybe many investors just piggybacking

11:32

off of one of the best AI investors, you

11:35

know, potentially of all time. I mean,

11:36

this guy's only 24 years old and what he

11:38

did with his fund is absolutely insane.

11:40

I mean, this guy's way younger than, you

11:42

know, Mr. Uncle Henry right here and

11:44

he's got me blown out of the water

11:46

completely. So, looking at Bloom Energy,

11:48

I've done a lot of research and this

11:49

market cap is under a hundred billion

11:51

dollars. So, the big question is, does

11:53

Mr. Aschauer Brenner still see an

11:55

opportunity here? Does he still think

11:56

that this company could still go up? And

11:58

I think a lot of investors right now are

12:00

looking at the chart and saying, most

12:01

likely I missed it. But, I don't think

12:03

Leopold is buying Bloom because of what

12:05

happened over the last six months. The

12:07

stock is up a lot, but it's probably not

12:09

that short-term folk, right? As we seen

12:11

in his 13F filing most recently, he

12:12

still has a really large stake in this

12:14

company. He's most likely buying it

12:15

because of what he believes could happen

12:17

over the next five years. I haven't

12:18

really seen this guy going in and out of

12:20

stocks like dramatically like short-term

12:22

trading. I actually see Leopold making

12:24

long-term bets on bottlenecks, which is

12:27

what I really like because as an

12:28

investor, if we're actually looking to

12:29

learn how to make smarter choices, then

12:32

it's really going to be from someone

12:33

that has more of a long-term kind of

12:35

plan versus someone that's in and out.

12:37

Because if someone's in and out, that's

12:38

not really a repeatable process that we

12:39

can even learn from. So, if he's right

12:41

about AI infrastructure spending, which

12:43

I personal opinion is I think AI

12:45

spending is only going to go up, then

12:47

you can see Bloom Energy is most likely

12:49

still in the very early innings. Most of

12:51

the data centers that will be built for

12:53

the AI revolution haven't really even

12:55

been structured yet. A lot of them are

12:56

still going to be built. So, many of the

12:58

largest projects are still in the

12:59

planning stages. That means that

13:01

electricity demand is only going to go

13:03

up one way, which is probably up. So, in

13:05

other words, Bloom stock may be up

13:07

hundreds of percent, but the actual AI

13:09

power build out may only really be

13:11

getting started, right? Five years from

13:13

now, we might see a lot of these AI

13:14

stocks that Leopold has in his

13:16

portfolio. And by the way, if you want

13:17

to see his top five holdings, that's a

13:19

video that I recently made. I'll link it

13:20

down below or at the end of this video.

13:21

But, if I look at a lot of those

13:23

companies, it makes a lot of sense

13:24

because AI build out is still pretty

13:26

much in the process. The risk though, of

13:28

course, is that expectations have become

13:30

extremely high and the stock is no

13:32

longer cheap, which I'll be honest with

13:34

you, it does not look cheap. Investors

13:35

now understand the AI power story, the

13:37

future returns will likely depend very

13:40

much so on Bloom actually delivering the

13:41

growth the market is expecting. So,

13:43

Bloom is not really an undiscovered

13:45

stock, but I still think investors are

13:47

going to be discovering it over the next

13:49

6 months, 12 months, and 5 years. And

13:51

right now, Leopold has a really massive

13:53

stake in Bloom Energy. So, is Bloom

13:56

still a buy in, you know, my opinion?

13:58

Well, my view is that the easy money has

13:59

already been made. So, if you're looking

14:01

for that, you're probably too late. But,

14:03

going from the hidden idea to a

14:05

recognized AI infrastructure play does

14:07

not make this overvalued either. So,

14:08

this is not an overvalued stock. Maybe

14:10

the biggest gains have already happened,

14:12

but it doesn't mean that attractive

14:14

gains can't happen over the next, you

14:16

know, 12 months to, you know, 24 months,

14:18

for example. So, it doesn't necessarily

14:20

mean that the opportunity is over

14:21

either. And, you know, Leopold is

14:23

currently holding a lot of shares. So,

14:25

the real question isn't whether Bloom

14:26

Energy is up, you know, 270% in the last

14:29

6 months. The real question is whether

14:30

AI power demand is going to be five

14:32

times larger than investors currently

14:34

expect, right? Because the market is an

14:36

expectations game. So, if Leopold is

14:38

right about that, then Bloom then Bloom

14:40

could still have significant upside

14:41

ahead despite the run that we have

14:43

already seen. Personally, I think Bloom

14:44

Energy has moved from a speculative AI

14:46

infrastructure bet into an execution

14:48

story. So, right now, we're going to

14:49

have to see Bloom Energy actually

14:51

execute. And that next chapter will be

14:53

driven by investors discovering the

14:54

company. It will be actually driven by

14:56

whether management can continue

14:57

converting this AI demand into real

14:59

revenue, real cash flow, and, you know,

15:01

hopefully lots of earnings on the

15:03

downstream for Bloom Energy. If you want

15:05

to see how I'm trading Bloom and how I'm

15:07

using my momentum indicators to get into

15:09

stocks and when I believe they're a good

15:10

time to purchase these stocks, you can

15:12

check out the first link in the

15:13

description. And if you want to see the

15:14

top five holdings that Leopold

15:16

Aschenbrenner has, then you can check

15:17

out this video right here that I

15:18

recently made.

Interactive Summary

Leopold Aschenbrenner, a 24-year-old former OpenAI employee and fund manager of Situational Awareness LP, has become a prominent figure in AI investing by identifying infrastructure bottlenecks. His fund, which has grown to over $13 billion, holds a significant position in Bloom Energy. Although Bloom is not a traditional AI stock, it addresses the critical bottleneck of electricity for AI data centers through on-site fuel cell systems. The video explores Bloom's 'time to power' advantage, the background of its CEO Sridhar, and why Aschenbrenner views this as a long-term play despite the stock's recent 270% price surge.

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