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The CoreWeave Stock IPO is a Billion Dollar Bailout.

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0:00

fre IPO opportunities so they can get

0:03

bailed out to the tune of $2 billion so

0:06

they could pay their damn bills because

0:08

they went so deep in debt the company

0:10

cor weave may be IPO at the perfect time

0:15

that means the stock will be available

0:16

to trade very soon the only problem is

0:20

will it be a good investment well a lot

0:23

of that depends on what we think about

0:25

buying out that core weave

0:27

infrastructure and how much money it's

0:29

going to return in the future cor weave

0:31

is expected to trade under ticker C

0:36

rwv this week and raise over $2.7

0:39

billion for the company which is really

0:41

interesting because when you look at the

0:43

finances for the company and you look at

0:45

the history of the company you start

0:46

understanding that this former crypto

0:48

mining company called Atlantic crypto

0:52

where they mined etherum for yield

0:55

happen to strike literal gold during the

0:59

AI reol solution think about it ethereum

1:02

prices underperforming Bitcoin your gpus

1:05

collecting dust because you're not

1:07

making the yield you used to your break

1:09

even costs compressing and then all of a

1:12

sudden artificial intelligence comes

1:14

around and what does that do for you oh

1:17

let's just stop Mining ethereum and

1:20

start doing Ai and Lease our gpus to

1:24

other people who want to pay us to use

1:26

our gpus and our data center data

1:28

centers on a per hour basis this could

1:31

be companies that exclusively use cor

1:33

weave potentially startups or other

1:36

larger companies that don't want to

1:37

build out their own data centers or they

1:40

could be companies like Microsoft that

1:42

partner with cor for some of their

1:44

artificial intelligence needs think

1:46

about it this way let's say you have

1:49

you're Microsoft and you have this

1:52

really large machine at your home that

1:54

you need a lot of power for I don't know

1:56

let's say you need 100 units of power

1:58

for that but then sometimes you need 150

2:01

units of power you don't want to install

2:04

all of the Power needs to always Supply

2:07

150 so just do the 100 yourself and get

2:10

the other 50 from cor weave that's an

2:13

example of how cor weave could function

2:14

in its business model so just because a

2:17

company like Microsoft could use core

2:19

weave for Access flow or potentially all

2:22

of their work if they wanted to cor

2:24

weave creates this flexibility for

2:26

companies to basically use AI data

2:29

setters when they need it and dial it

2:31

back when they don't this is pretty

2:33

straightforward cor weave is basically

2:36

the infrastructure provider but they

2:38

also provide the software around that

2:40

data center infrastructure which is cool

2:42

because it means you know these

2:44

Executives were pretty smart in that

2:46

when the AI boom hit they're like okay

2:48

not only are we going to retool as an AI

2:51

data center play and we're going to

2:53

change the name of our company to cor

2:55

weave but we're also going to develop

2:57

our own in-house software to man manage

3:00

these data centers which is frankly

3:02

brilliant because I mean a it makes your

3:05

lives easier but B it also gives you a

3:08

USP a unique selling proposition to your

3:10

customers where like oh yeah come use

3:12

core weave for your AI infrastructure

3:14

needs we got the software that you could

3:16

just use because a it's easier for us

3:18

but B it's also easier for you to manage

3:20

you know what you're renting from us

3:22

including all the pricing uh changes and

3:25

and uh you know the turn off and uh turn

3:27

on and on functions and the allocation

3:29

functions of it anyway it's kind of

3:31

brilliant so when you look at cor weave

3:33

though what you really want to think of

3:35

them as is a giant generator of AI

3:40

services so remember that example I gave

3:42

where like if Microsoft needs extra

3:44

power think about cor weave is sort of

3:46

the power plant except rather than

3:48

providing power they provide AI data

3:51

center access which obviously has been

3:54

in massive demand over the 2023 and 2024

3:58

period because this has been sort of the

4:00

AI boom cycle now there are some

4:03

problems though with cor weave the first

4:06

problem that I think is worth paying

4:07

attention to is what industry experts

4:10

are saying the chairman of Alibaba today

4:13

wrote The Following quote I start to see

4:17

the beginning of some kind of bubble I

4:20

start to get worried when people are

4:22

building data centers on spec there are

4:25

a number of people coming up funds

4:27

coming up to raise billions or Millions

4:29

ions of dollars in capital to build AI

4:32

data centers but what happens if they're

4:35

out building these data centers and this

4:38

Data Center capacity without an actual

4:41

customer in mind and that's what Alibaba

4:43

chairman is worried about he's worried

4:45

that we might have actually overbuilt AI

4:48

infrastructure with now a lot of h100

4:52

chips which are kind of the older

4:53

generation right and we might not

4:55

actually need that many data centers cor

4:57

weav has got somewhere around 250 ,000

5:00

Nvidia chips Elon musk's got around

5:03

100,000 Nvidia chips at his Tennessee

5:06

you know xai data center but the h100

5:09

chips are already the old version in

5:11

fact Jensen Wong at the Nvidia GTC event

5:17

literally said you won't be able to sell

5:20

h100s to anyone and that well he kind of

5:26

Bas he said it a little bit more bluntly

5:27

than that he basically said you couldn't

5:29

even give him away which is bad because

5:32

it kind of suggests that the CEO of

5:35

Nvidia is literally suggesting the value

5:38

of h100 chips could be pretty dang low

5:41

when their new chip sets come out now

5:44

that's a downside now the upshot to this

5:48

is hey you've got companies in China

5:52

that are reporting like ant for example

5:54

Jack Ma's an who co-founded Alibaba Jack

5:57

ma uh and the Ant company they suggest

6:00

hey you know we don't necessarily need

6:02

the latest and greatest chips in fact we

6:04

can do a lot of our work with older

6:08

generation chips and then just use the

6:10

more advanced chips for the final stages

6:13

training llms or inference solutions

6:15

that require heavier Duty chips uh this

6:19

piece This research piece I actually

6:20

broke it down uh let's see here I'll put

6:23

that on screen so you can actually see

6:25

it so it's right here so our

6:28

experimental findings have demonstrated

6:29

that 300b I mean okay you don't need to

6:31

know can be effectively trained on Lower

6:34

performance devices while achieving

6:37

comparable performance to similarly

6:39

dense models such as deep seeks version

6:42

2.5 blah blah blah just I'm going to

6:44

translate this English here in the

6:46

pre-training phase you can basically use

6:49

cheaper chips which is potentially good

6:51

although it does make some people

6:52

question

6:54

companies like the dominance of

6:56

companies like Nvidia because you know

6:57

hey you could just go to AMD or you

6:59

could go to other chip creators such as

7:01

chip manufacturers or designers in China

7:04

that uh compete with AMD or Nvidia

7:07

especially more likely after this trade

7:10

war that uh is undergoing you know

7:13

occurring under Trump uh and Trump has

7:14

directly argued that there will be

7:17

specific tariffs on chips now if that

7:19

happens or not remains to be seen But

7:21

the argument here is maybe there's still

7:24

demand for older chips right so I'm kind

7:26

of giving you a pro and a con here on

7:28

one hand we might be overbuilding data

7:30

centers on the other hand that's okay we

7:33

could still make use of the older chips

7:35

but just remember what you're getting

7:37

with core weave are a lot of h100 chips

7:41

and again the CEO of Nvidia says you

7:45

couldn't even give away Hoppers uh now

7:50

that's obviously a big claim so I should

7:52

point it out to you in the actual video

7:54

it's at 1 hour and 19 minutes in in the

7:57

GTC presentation and just listen to

8:00

Jensen saying it himself because cor

8:03

weave has a lot of these and it's kind

8:05

of important that you hear this because

8:07

I kind of think they're

8:09

iping well I'll give you my opinion in

8:11

just a moment and what their balance

8:13

sheet tells us let's just listen to this

8:14

for a moment hey just a quick update

8:16

house Haack has doubled its fund raise

8:19

from the last update that we gave so if

8:22

you're looking to diversify into real

8:24

estate check out house act.com it's

8:26

amazing we you know the last fundraising

8:29

of dat we gave we've already doubled

8:31

that and I think that's because people

8:33

are looking from for some more

8:34

diversification from stocks but anyway

8:36

uh updates over at the house Haack homes

8:38

YouTube channel or just go to house.com

8:40

you can see the properties and more

8:41

about that but it's diversification into

8:43

real estate if you haven't heard of it

8:44

before uh and uh there's a non-

8:46

accredited round available for it 5%

8:48

yield upside uh included because you

8:51

know you get the stock if it goes up and

8:53

there's also downside prot protection so

8:55

check it out over at

8:56

h.com you know I've said before somebody

9:00

actually asked you know why would I say

9:02

that but I said before that when

9:06

Blackwell starts shipping in volume you

9:07

couldn't give Hoppers

9:09

away and this is what I mean and this

9:12

makes sense if anybody if you're still

9:14

looking to buy a hopper don't be afraid

9:17

I'm it's okay

9:20

but I'm the chief re

9:23

Revenue

9:26

Destroyer my sales guys are going oh no

9:29

oh don't say that I like Jensen okay I I

9:34

think he's actually a very sincere

9:35

person and I like Nvidia a lot and don't

9:38

get me wrong I I don't have bets on

9:40

either of these plays like you know for

9:42

NVIDIA or against cor weave I don't care

9:44

I'm just trying to provide information

9:45

on YouTube because I think when I

9:46

provide value on YouTube you might

9:49

consider subscribing to the channel and

9:50

coming back for more value and that's my

9:53

job I sit here and try to figure out how

9:55

can I provide you value on a daily basis

9:57

and I think when you you know when

9:59

you're like me and you research this

10:00

stuff I watched that Jensen interview

10:03

and I didn't say to myself oh okay you

10:05

know I'm going to I'm going to make a

10:06

whole video on this I didn't even know I

10:07

would ever reference it again it was

10:09

only right now when I'm going through

10:11

the core weave documents for their IPO

10:13

their S1 I'm like oh wait a

10:16

minute what what did Jensen say again

10:19

that's right so now you kind of make

10:21

these links and these are the kind of

10:22

like aha moments that I tried to provide

10:24

to you now I'm not saying that they

10:26

don't have black Wells of course cor

10:28

weave has black Wells but most of their

10:30

infrastructure buildout occurred in 2023

10:32

and 2024 you could literally see it

10:35

right here which most of that actually

10:38

excuse me I would venture to say almost

10:40

all of what you see on this balance

10:41

sheet is Hopper infrastructure because

10:44

Blackwell only started shipping at the

10:46

end of 2024 we don't even know if that

10:49

shows up in plant property and Equipment

10:51

yet or if it's just you know showing up

10:54

as restricted cash because the product

10:56

hasn't actually shown up yet and haven't

10:57

paid for it yet right but they have

10:58

orders for it I don't know but the point

11:01

is look at this explosion in the balance

11:04

sheet and I want to show you a risk

11:06

because look at this plant property and

11:08

Equipment exploded from uh I mean

11:11

nothing in like 2022 to 3.4 billion in

11:15

2023 and then 11.9 in 2024 these folks

11:20

were doing whatever they could to in

11:22

Europe in the United States anywhere

11:24

they could sell you an AI data center at

11:27

low latencies they were doing it

11:29

they went all in and honestly they did

11:32

it at the perfect time they wrote they

11:34

caught the wave and they wrote it

11:36

perfectly I'm jealous of these bastards

11:38

they did so well with their timeing

11:40

honestly good for them like they they

11:42

played it perfectly wow we're sitting on

11:45

all these gpus for ethereum let's get

11:47

into AI data center Leasing and make

11:49

some software around brilliant boom

11:52

billionaires overnight okay I don't I

11:55

think that is so smart but as an

11:58

investor you you should be asking

12:00

yourself what am I buying or what am I

12:03

doing to bail this company out yeah

12:06

don't get me started on the bailout

12:07

that's coming in just a

12:09

moment so this company

12:12

3.4x their plant property and

12:14

Equipment assets from 3.4 billion to

12:18

11.9 in one year they basically plow

12:22

money into Data Centers right now this

12:24

company has cash and cash equivalents of

12:27

$1.7 billion but they have bills to pay

12:30

of 3.6 they are $2 billion short they

12:34

need a bailout they literally don't have

12:38

the cash to survive the next 12 months

12:41

unless they get bailed out by retail

12:44

investors being promoted this stock

12:46

through Robin Hood preo opportunities so

12:50

they can get bailed out to the tune of

12:52

two billion dollars so they could pay

12:54

their damn bills because they went so

12:56

deep in debt to build data centers cuz

13:00

there was no limit to the amount of

13:02

demand that people thought there would

13:03

be for data centers the only problem

13:06

here is what happens when all of a

13:10

sudden that demand starts drying up and

13:13

people aren't asking for your AI data

13:15

centers that much anymore because either

13:17

they don't need as much h100 compute

13:19

power because it's the older version or

13:21

because they just straight up don't need

13:22

as much h100 computer power anymore

13:24

because maybe it was overbuilt just like

13:27

the Alibaba CEO says not my opinion I'm

13:30

just putting the connections together

13:32

see I'm taking from Nvidia I'm taking

13:33

from Baba and I'm combining it with sort

13:35

of experience and logic into their S1

13:38

and then giving you perspective now you

13:40

could say hey ma'am look they're going

13:42

to make plenty of money they're going to

13:43

grow Revenue blah blah blah great we

13:45

hope that they do but understand when

13:48

you look at this balance sheet this

13:50

company does not have enough money to

13:52

get through the next 12 months and the

13:54

only way they're going to survive is by

13:56

either dumping stock onto retail share

13:59

holders buying it at IPO and it could do

14:01

really well or raising more debt to pay

14:04

for their existing debt again I'm not

14:07

here to say the Stock's going to go up

14:08

or down or whatever I'm here to tell you

14:11

what's going on the finances are such

14:13

that they need money they need about 2

14:14

billion which is really interesting

14:16

because if you look at the estimates for

14:18

what they plan to raise they're about

14:21

$2.7

14:22

billion it's right here so it's kind of

14:25

interesting now this is going to be

14:27

great so let's get past this okay so now

14:29

let's say they IPO they raised the $2.7

14:31

billion if the stock crashes cor weave

14:34

doesn't care because now they got their

14:35

bills paid for the next year and they've

14:38

got their big fat IPO paychecks and

14:40

bonuses good for them no shade at that

14:44

at all the question is is this a company

14:47

that I want to buy okay well to

14:50

understand that we have to understand a

14:51

little bit about their revenue and how

14:54

sort of their revenue works and what

14:56

projections could reasonably be made off

14:59

off of this so uh we have that on screen

15:01

right here so most of this loss that you

15:04

see right here is a loss of fair value

15:06

related to bonds I actually don't think

15:08

this loss is that bad and I actually

15:10

think in 2024 they did a a good job

15:12

making money uh they actually made money

15:15

when we look at uh uh you know taking

15:18

out depreciation and these fair value

15:20

adjustments because most of this

15:22

technology and infrastructure here about

15:23

$800 million of that in 2024 is actually

15:27

depreciation so they don't line that out

15:29

which is surprising to me because if you

15:31

do that you actually kind of get more

15:32

bullish on these numbers uh they also

15:34

have a lot of interest expense but then

15:36

again they did whatever they could to

15:38

beg borrow and plead to build up these

15:39

data centers because that's that's the

15:41

ride they were waving there's a lot of

15:43

demand I mean anybody would have done

15:44

the same thing so again I don't blame

15:46

them I'm just saying I think they're

15:48

kind of trying to IPO a peak here which

15:50

is smart also I'm telling you these

15:53

people are geniuses we don't have enough

15:55

money we're at Peak AI deployment we're

15:58

probably at Peak AI use in 2024 at least

16:01

for Hopper chips which is the

16:03

infrastructure that they have anyway and

16:06

things are getting uncertain in the

16:07

economy quick IPO before it's too late

16:11

and tariffs crush us into a recession

16:13

and oh my gosh AI demand slows down and

16:15

people realize we've overbuilt data

16:17

centers you know and obviously then the

16:18

stock drops off a cliff but that doesn't

16:21

have to happen right away you know the

16:23

stock could be up 50% on IPO day because

16:26

usually what they'll do is they'll pre-

16:27

price it at like $50

16:29

and then it'll trade for like $75 or $80

16:32

and it'll be like oh my gosh it's up 50%

16:34

on IP day they do that by just limiting

16:37

how many shares are available because

16:39

they want it to seem like it's up a lot

16:41

on IPO day so more people get foam wo

16:44

and buy it yeah it's just like this is

16:46

Wall Street Wall Street is literally let

16:49

me put it this way somebody at the

16:51

Security and Exchange Commission once

16:53

told me this line you ready for this

16:56

Securities are sold not not

17:00

bought think about what that means for a

17:02

moment Securities are sold not

17:06

bought well what it means is you have to

17:09

sell you got to sell the sizzle that's

17:12

what an IPO is why do you think they put

17:14

a banner on Times Square or the NASDAQ

17:16

is or the party that they do over in uh

17:19

you know on on on Wall Street if you're

17:20

iping at the New York Stock Exchange why

17:22

do you think they parade these because

17:26

it's part of the marketing which is

17:28

normal none of this is abnormal what

17:30

matters more is that we understand this

17:33

Revenue section right here of course the

17:35

revenue looks like it

17:37

exploded but you have to also consider

17:40

that they brought the difference between

17:43

11.9 and what 3.9 worth of assets online

17:48

so 11.9 minus 3.9 they brought about $8

17:51

billion of servers online imagine you

17:53

bought $8 billion of rental real estate

17:57

do you think your rental re Revenue your

17:59

Top Line would go up well of course it

18:02

would now the question is did it go up

18:05

by a greater multitude yes or multiple

18:08

rather yeah it actually did see if we go

18:10

back to the balance sheet they oh they

18:11

had about 3.4 rather than 3.9 so that

18:13

means they added about 8.5

18:15

billion uh they 3.4x their plant

18:18

property and Equipment but their

18:19

revenues actually exceeded that their

18:22

revenues popped up to the tune of 1950

18:25

by

18:26

228 uh oops 19 15 ided 228 their

18:30

revenues actually popped up by about

18:32

eight times so that's pretty good an 8X

18:36

increase uh in their revenue in exchange

18:39

for uh what did we say here 11.9 divid

18:41

by 3.4 about a

18:44

3.5x in an infrastructure buildout or

18:47

you know an increase in infrastructure

18:49

buildout not bad it is possible though

18:51

and this is what some folks are

18:52

speculating that a lot of this is

18:54

because this infrastructure really

18:56

didn't start producing Revenue until in

18:59

2024 so in other words there was some

19:01

delay in getting the 2023 revenues

19:03

online from the plant property equipment

19:05

making that growth seem a little bit

19:06

more extreme that's a little hard to say

19:09

but so far if they're bringing in $1.9

19:12

billion and their costs of Revenue are

19:14

around 493 million less depreciation and

19:18

not a lot of sales I mean these people

19:20

sell themselves which is honestly really

19:22

good like this is amazing very very very

19:24

little sales effort here they're

19:27

actually doing pretty dang well because

19:29

again add back in depreciation to their

19:32

operating income they're bringing in

19:34

somewhere around a billion bucks which

19:36

if you look at that that's about a 99.4%

19:39

operating return just on their plant

19:42

property and Equipment their servers now

19:45

the question is do we want to invest in

19:47

this company that has a 99.4% return on

19:50

their assets you know before interest

19:53

right we got to consider interest as

19:54

well so if you take off the interest of

19:56

$360 million that return is going to go

19:58

down a little bit but just ignoring

20:00

interest for a moment uh we're going to

20:02

look at operating income 1.9 million

20:05

that's that number right there look at

20:06

operating expenses minus

20:09

1.59 equals we got 31 right now we're

20:13

going to minus out interest uh minus. 36

20:17

uh and then what I'm going to do is I'm

20:18

going to add back in about $800 million

20:20

of depreciation you could get that

20:22

number in the actual uh financials so I

20:25

add that back in uh and we're doing

20:27

pretty well we're making somewhere

20:29

around $800 billion versus about 1 to

20:33

1.1 is without that interest 8 billion

20:38

or sorry $800 million off by zero here

20:41

$800 million divided by about 11.9 in

20:46

assets uh is a return of about 6.7% net

20:51

of Interest 6.7% return on their server

20:55

infrastructure pretty damn good these

20:58

are rough numbers here right but the

21:00

point is if we're at about a 6.7% return

21:05

on infrastructure after interest or

21:08

99.4% excluding interest because they

21:11

could always refinance that debt in the

21:12

future if rates come down uh then the

21:15

question is is that return going to stay

21:17

steady or can we grow it and that's

21:20

where the big question marks are what is

21:23

the growth going forward now there are a

21:26

lot of different thoughts on this my B

21:28

thing that I'd like to ask is and this

21:31

is what I would want to know as an

21:32

investor is do we see pricing decays one

21:38

of the problems that I've seen so far is

21:41

cor we actually changed their pricing

21:43

model so you can't see it as well on the

21:45

way back machine from a per GPU to a per

21:48

instance basis so it kind of makes it

21:50

harder to find out hey you know what has

21:54

their pricing looked like what kind of

21:57

pricing power do they have now you do

22:01

have a piece out from the information

22:03

which provides a little bit of color

22:04

which we'll look at in just a moment uh

22:06

but that that makes me curious so I

22:08

would love some insights on like hey how

22:10

are we doing here which to me probably

22:12

means we'll have to wait a few quarters

22:14

and let some of that IPO hype go away so

22:17

we can really start seeing what are they

22:18

saying in their earnings calls in terms

22:20

of pricing power to is is revenue act

22:22

like what is revenue actually growing at

22:25

that's what I'd like to see and how much

22:27

are they continuing to invest in new

22:29

infrastructure because right now they

22:31

spent about

22:33

2.4 let me see here uh let's see ah yeah

22:38

okay there we go so net cash provided by

22:40

operating activities was about 2.7 in

22:43

2024 but their purchases of plant

22:45

property equipment around 8.7 so the

22:47

free cash flow negative to the tune of

22:49

about five bill because they're throwing

22:51

it all back into servers the question is

22:54

what happens when that server you know

22:56

expansion this right here slows down are

23:00

we going to see a big slow down in

23:01

Revenue growth obviously it's not going

23:03

to look as meteoric as this Revenue

23:05

growth that we've seen over here we

23:07

already know that that's why I'm looking

23:09

at sort of a return on assets because to

23:11

me I'm if I'm investing in this company

23:13

I'm buying h100 chips the old stuff and

23:17

I want to see that continue to print

23:19

money but that does create risks because

23:22

people might be going into this thinking

23:23

you know this is the next biggest and

23:26

greatest AI play that's like an open AI

23:28

or something is really just you're

23:30

buying a company that's just going to

23:31

lease out the chips I'm not saying

23:33

that's a bad thing just something to

23:35

keep in mind now the information has

23:37

some interesting projections because

23:39

they argue that JP Morgan and Goldman

23:40

Sachs suggest that cor weave's revenue

23:43

is going to explode to $4.6 billion this

23:46

year which is great that's about a 2.4x

23:49

increase now markets already know this

23:52

so this could already be priced in but

23:55

that's going to come by increasing their

23:57

cash Burn by nearly

24:00

3x which probably means their

24:03

infrastructure Investments are going to

24:04

rise to close to $20 billion maybe1 18

24:08

but $20 billion divided by what they

24:10

spent last year about 8.4 would be about

24:12

a 2.4x in infastructure so in other

24:15

words they're still plowing money into

24:18

more uh uh you know data centers which

24:21

is good because it's a promising sign of

24:24

demand or we're

24:27

overinvestigation ala says but this

24:30

Revenue growth a lot of people might go

24:31

oh my gosh they they grew from you know

24:33

$15 million of ethereum Revenue to 228

24:37

to 1.9 now to 4.6 they're making so much

24:40

money most of that is debt financed

24:44

infrastructure again you go from you

24:47

know uh uh $3 billion of rental

24:50

properties to 11 billion to potentially

24:53

next year $30 billion of data centers of

24:56

course your revenue is going to go up

24:58

but beyond that we don't have much guide

25:01

so I'm really curious to see what the

25:03

per unit Revenue increases are for this

25:07

company this is expected to be a really

25:10

big IPO and a lot of people are going to

25:12

make a lot of money on this mostly the

25:14

Insiders already and so there's going to

25:16

be a lot of hype in marketing expect

25:17

this to be one of the most hyped up IPOs

25:20

of the year and I think they're doing it

25:22

potentially still relatively close to

25:24

the top of the market at a brilliant

25:25

time for them because if we are at sort

25:27

of the peak of how much they could earn

25:29

renting out these data centers and we're

25:32

at the peak valuation for an h100 data

25:34

center that Nvidia CEO J suggest could

25:38

end up being you know

25:39

worthless then they're playing their

25:41

cards really well here congratulations

25:43

to the executive staff for being really

25:46

really smart if thean company nah man AI

25:50

data centers take on as much debt as

25:52

possible and before you crushed that

25:55

Peak IPO would dump it all on retail

25:58

there you have it thanks so much for

26:00

watching and see you in the next one

26:01

subscribe for more bye why not advertise

26:03

these things that you told us here I

26:04

feel like nobody else knows about this

26:06

we we'll try a little advertising and

26:08

see how it Go congratulations man you

26:09

have done so much people love you people

26:11

look up to you Kevin PA there financial

26:13

analyst and YouTuber meet Kevin always

26:16

great to get your take

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