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Jensen Huang's Misdirection Play: What NVIDIA's Earnings Call Didn't Want You to See

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Jensen Huang's Misdirection Play: What NVIDIA's Earnings Call Didn't Want You to See

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349 segments

0:00

Imagine you're getting off a crowded

0:02

subway car in New York City in the

0:04

summer. It's hot. Everyone's crammed

0:05

together. And all of a sudden, a woman

0:08

falls right on you. Catch her. She

0:10

apologizes. And you get off the subway.

0:12

And just as you reach in your pocket to

0:14

find your fair card, you find out your

0:16

wallet's missing. You got pickpocketed.

0:18

This is classic misdirection. It's look

0:21

over here while I steal your wallet.

0:23

That's just what Jensen did during the

0:26

Nvidia earnings call today. Nvidia is

0:28

building the minivan.

0:32

First off, the numbers. Yes, they

0:34

crushed it by a wide margin. Q4 revenue

0:38

68.1 billion. That's up 73%

0:40

year-over-year. Insane. Fiscal 2026.

0:44

Total revenue for the year 215.9 billion

0:48

with data center segment bringing in

0:49

62.3 billion alone in Q4. Those are

0:54

dream numbers for Nvidia. Then the stuff

0:57

that they kind of minimized that you're

0:58

going to find in the 10K that they

1:00

didn't talk too much about on the call

1:02

until questioners asked them. Gross

1:04

margin down from 75% to 71.1%.

1:08

Operating expenses way up. They're up

1:10

41%. Inventories doubled and accounts

1:13

receivable is ballooning. I look at this

1:16

10K and I see that revenue is

1:18

accelerating. The cost of doing business

1:20

is way, way, way up. Let's get through

1:23

some predictions of what that stock is

1:25

going to do tomorrow and then we'll get

1:27

into how this fits into our thesis.

1:29

Based on options, we're looking at a

1:30

5.8% move. That's about 1135 a share. We

1:34

got 24.3 billion shares outstanding at

1:37

195.56.

1:39

That's a swing of 285 billion, which is

1:41

almost exactly what we talked about in

1:43

yesterday evening's video. Even if we

1:45

see some moderation there, we're still

1:47

looking at about 140 $150 billion swing.

1:50

They had a very strong guide on the call

1:53

and I think that this stock is going to

1:54

rip tomorrow. That being said, nothing

1:57

I'm about to show you from the 10K

1:59

changes at all. All of this is still in

2:01

play. Here is the dead tell that we are

2:04

in the late stage of a bubble. When

2:06

growth is effortless, you're getting new

2:09

business every day. You do not pre-by

2:12

the future because that limits your

2:14

options. It locks you into a couple of

2:16

eventualities as opposed to having free

2:18

autonomy every year. But Nvidia is

2:21

starting to price in the future and

2:23

they're starting to price it in for a

2:24

long time. We're talking massive forward

2:26

engineering commitments, multi-year

2:29

cloud service obligations, data center

2:31

leases stretching till 2030. This is the

2:34

one of the reasons that their expenses

2:36

are up. They are taking a risk there to

2:39

preserve their future. You'll find this

2:41

in all latestage booms from the railroad

2:44

to the.com boom. All of a sudden you

2:46

need prepayments, guarantees, contracts

2:49

moving forward well into the future

2:51

because you can't be sure that that

2:53

business is going to stick with you. So

2:54

you get you start to get a little

2:55

nervous and you want to lock these

2:57

things down for the next 5 10 years to

2:59

make sure that you can still grow that

3:01

other companies are contractually

3:02

obligated to work with you that you have

3:04

stuff that you can sell into the future

3:06

by contract. And that's exactly what

3:08

this 10K shows. On top of that, a lot of

3:11

their customers can't finance the

3:12

buildout. So, Nvidia is funding them,

3:14

which is circular financing. I don't

3:16

care what Jensen says about this. This

3:17

is circular financing, plain and simple.

3:19

We've gone over it in all of the videos

3:21

on this channel going all the way back

3:23

to last fall when they said I was a nut

3:24

job for calling AI a bubble. They have

3:27

billions invested in private AI

3:29

companies. These are companies that have

3:32

not proved that they are profitable,

3:34

that they even have a profit model.

3:36

Nvidia has invested billions in them.

3:38

They have strategic deep partnerships

3:41

everywhere at this point. Land, power

3:43

and infrastructure guarantees, open AI

3:46

investment discussions and then of

3:47

course there was the acquisition of

3:49

Grock for $13 billion last year. So you

3:52

have the platform leader becoming the

3:54

capital allocator for the entire sector.

3:56

That's not some kind of early cycle

3:59

dominance or come up story. This is what

4:01

it looks like when we start to stabilize

4:03

in that late stage of a boom. It's kind

4:05

of like you're out there surfing. You're

4:07

riding the wave and that's how the

4:08

company gets started, but then the waves

4:10

die down. But at that point, you have

4:11

enough money, you just pay somebody to

4:13

go out there with a power boat to drive

4:14

real fast to make fake waves, but you're

4:17

paying for it. You're making the waves.

4:19

They have been kneecapped so bad by the

4:21

China deal that it is hilarious and

4:24

painful at the same time to watch them

4:25

try to downplay it. In the call and in

4:28

the documents, they say that they're

4:29

expecting zero revenue from China next

4:32

quarter at least. So their outlook

4:34

explicitly excludes China compute, which

4:37

I think is a wise decision, but it goes

4:39

to show how bad that situation is

4:41

legally for them. They cannot do it. If

4:43

they thought there was any world where

4:45

they could get something going with

4:46

China, they would have written it down

4:47

to make growth look better. And this

4:49

creates really a double-edged sword for

4:51

Nvidia where if they're selling sort of

4:54

gimped chips to China like they were

4:56

allowed because of the export controls

4:57

they were allowed to sell these lower

4:59

powered versions of their GPUs to China

5:02

in limited quantities and with a bunch

5:04

of restrictions. At least when they were

5:06

doing that they could guarantee that

5:08

China is running off of their hardware.

5:10

even if they are working with companies

5:12

like DeepSeek to unlock things that they

5:14

don't unlock for American companies and

5:16

use this to uh train defense robots

5:18

which we talked about a couple of weeks

5:20

ago on the channel. Barring any of that,

5:22

it's dangerous for Nvidia because now

5:26

China will have to really double down on

5:28

their efforts to make competitive GPUs

5:30

to make competitive compute to Nvidia.

5:32

So, it's created a massive massive need

5:35

for them. They were already working on

5:36

this stuff and making good headway, but

5:38

now with the Nvidia faucet turned off,

5:41

they're going to need to find water on

5:43

their own. So, one growth lane is

5:45

permanently impaired. Maybe will be un

5:48

unimpaired, but they're planning for it

5:49

to be permanently impaired. So, the

5:51

money is going to have to come from a

5:53

new vertical, and that new vertical is

5:55

the Vera Rubin compute. In the intro, I

5:57

was talking about being distracted,

5:58

getting mugged. This is the woman

6:00

falling on you when you come out of the

6:02

subway. This is the Vera Rubin compute.

6:05

They wanted you to be misdirected to

6:07

catch the woman falling while somebody

6:09

grabbed the wallet out of your back

6:10

pocket. And here's how I know this.

6:13

There was a CNBC exclusive first look

6:16

time to drop right before earnings. This

6:18

is a big spec reveal of what they've

6:21

been building, how it's working, and how

6:23

that's going to save their customers a

6:25

bunch of money. The numbers on that 1.3

6:27

million components 72 Rubin GPUs plus 36

6:30

Vera CPUs per rack 100% liquid cooled

6:33

two tons per rack estimated 3.5 to 4

6:37

billion per unit. So they sort of set

6:39

this story up an hour or two before

6:40

earnings and then Jensen comes in with

6:42

the spike and the spike is a new KPI

6:44

Jensen keeps pushing uh PR department

6:47

definitely came up with this and that's

6:49

tokens per watt. tokens per watt. You're

6:51

going to hear that so much from Jensen

6:53

in the next few weeks in the media.

6:55

Tokens per watt. That is the new KPI.

6:58

And this is another sign that the bubble

7:00

is about to collapse. They apparently

7:02

have a myopic focus now on tokens per

7:05

watt. And like I've said before in these

7:06

videos, these people do not care about

7:09

the environment. They don't care about

7:11

the environment. They care that energy,

7:13

that electricity is expensive.

7:16

Electricity is expensive. And so when

7:18

they can cut the electricity spend or

7:21

get more tokens, AI tokens per watt,

7:24

then they take that extra income off the

7:26

top. So I heard Jensen pushing that

7:27

pretty heavily in the call. And with

7:30

this new Reuben setup, it claims two

7:32

times Blackwell power draw, but 10x

7:35

performance per watt and i.e. 10x lower

7:38

cost per token. So any software engineer

7:40

watching this, you're going to notice

7:42

something that's pretty familiar in our

7:44

industry, which is when you're at a

7:45

small startup, you're building, you're

7:47

experimenting. Let's go boil the ocean.

7:49

Let's go solve this problem. And then

7:51

once the company becomes bloated,

7:53

inefficient, this kind of giga corp,

7:55

what's it focused on? It's focused on

7:57

efficiency. Efficiency becomes the

7:59

topline initiative for everything

8:01

implicitly or explicitly even. And

8:03

that's exactly what's happening to

8:05

Nvidia because they've finally declared

8:07

that, hey, we are in the late stage of

8:09

the bubble pop. That huge constraint is

8:12

electricity. We're going to be doing an

8:13

episode on that. Make sure you're

8:14

subscribed. Click the bell to be

8:16

notified. Dropping next week. The other

8:18

thing that Jensen could not help himself

8:20

from saying over and over and over again

8:22

during the call was CUDA, which is

8:24

misguided at this point. I'm not sure if

8:26

he recognizes it yet. As I showed you in

8:29

the Jensen expose, he bet on CUDA over a

8:32

decade before it was successful. He had

8:34

to defend his baby from shareholders in

8:38

these or earnings calls saying like,

8:39

"No, no, no, it's worthwhile. We need to

8:41

keep putting millions of dollars into it

8:42

despite the fact we have no clear profit

8:44

model uh for a return on investment."

8:46

And finally, it's it's made Nvidia

8:49

Nvidia. That's why we're talking about

8:51

it today and they're so successful in

8:52

the AI space is because that could have

8:54

bet paid off. So, he seems to have an

8:56

emotional attachment for it. And I'm I'm

8:58

not sure if he realizes that this is

9:00

actually going to be a big arrow in the

9:01

side for the company. You see, CUDA

9:03

opens the chip up to be general purpose.

9:05

It's like having a port. Anything can

9:08

plug into it. You can do different

9:10

compute on it and establish them in the

9:12

AI game. But as you go on, anyone in

9:15

product and engineering will tell you

9:17

this. If you want something lethally

9:20

efficient at one task, it must be

9:22

specialized and purposedesigned. Okay?

9:25

If you drive a minivan, you can haul

9:28

decent amount of stuff around with it.

9:29

You can put some 2x4s back there. You

9:31

can move the kids around with it. If

9:33

you're just driving on your own, it

9:34

works fine to just drive on your own.

9:35

It'll go highway speeds and it's got air

9:37

conditioning. But if you want to get

9:39

there fast, you're going to buy a

9:41

Corvette. The Corvette, you can't fit

9:42

the kids. You can't carry any 2x4s or

9:44

anything big in it, but it's fast. It'll

9:47

get you there way faster than the

9:48

minivan. And so Nvidia is building the

9:51

minivan, and they've doubled down on the

9:52

minivan, which is CUDA. Other companies

9:55

are starting to make really good sports

9:57

cars though. You have Talas, which is

9:59

out of Canada. They're taking a

10:01

hardwired model approach. They have

10:03

insane tokens per second. It's a It's an

10:06

absolute drag racer. Nobody knows where

10:08

that's going to go, but probably

10:09

somewhere incredible and disruptive.

10:11

Then you have Cabris who's working with

10:13

OpenAI. They have wafer scale

10:14

architecture. We covered those on the

10:16

channel a few days ago. Really, really

10:18

fast inference with uh what Open AI has

10:21

deployed it with with their 5.3 Codeexc

10:23

Spark model. I gave that a try. It is

10:25

ridiculously fast. So, CUDA is indexing

10:28

on the minivan approach while people are

10:30

building not only sports cars, but like

10:32

amphibious vehicles. They're building uh

10:35

big off-road trucks, like these highly

10:38

specialized versions of what Nvidia has

10:40

initially built that do better at those

10:42

specialized use cases. You might say,

10:44

"But Dr. J, free cash flow is strong. I

10:47

looked at the 10K. Free cash flow looks

10:49

good." But what you missed and what they

10:51

tried to glaze over a little bit in the

10:52

call is you have 40 billion plus of

10:54

share repurchases. You also have 17

10:56

billion plus into private equities as

10:59

somebody astutely called out in the

11:00

question section of that call. There's

11:02

the Gro deal. There's the inventory

11:04

backup and inventory build. So revenue

11:07

is up 65% but their balance sheet

11:09

complexity is way up. More capital

11:11

intensity, more obligations,

11:13

geopolitical exposure through the China

11:15

thing and of course energy constraints.

11:17

A bubble does not pop when revenue

11:20

drops. That's a common misconception. It

11:23

pops when growth requires more

11:25

scaffolding. So demand is real.

11:28

Infrastructure buildout is massive. It

11:30

seems like they have their tech well

11:32

under control. But as the complexity of

11:34

that system grows, you just run into a

11:36

bajillion headaches. Headaches you

11:37

wouldn't even think of, like supply

11:39

triage and geopolitical implications.

11:42

What if you need some stuff from China?

11:43

What is the current administration going

11:45

to tax it at? Everyone wants their cut

11:46

of what you're doing at this point. So,

11:48

it's not collapse yet. It's definitely

11:50

not fraud. This is a regular amount of

11:52

spin to have on an earnings call, even

11:54

though I keep ribbing them over it. This

11:55

is about the regular amount of marketing

11:57

you'd have on on an earnings call to

11:58

minimize the bad things and prop up the

12:00

good numbers. But overall, this is uh

12:02

this is a sane and not fraudulent 10K as

12:05

far as I'm concerned. But the easy phase

12:07

is over. The easy phase is over. If

12:09

Nvidia is underwriting the AI economy,

12:12

the real question isn't how many tokens

12:14

per watt, it's who underwrites Nvidia.

12:17

If you want the numbers behind the AI

12:18

bubble, please sign up for the mailing

12:20

list that's linked in the description

12:22

and subscribe to be notified when our

12:24

video on the energy infrastructure comes

12:26

out that's fueling the entire AI boom.

Interactive Summary

Nvidia announced impressive Q4 earnings with significant revenue growth, especially in its data center segment. However, a deeper look at their 10K reveals concerning financial trends like decreased gross margin, increased operating expenses, doubled inventories, and ballooning accounts receivable, indicating a rising cost of doing business. The company is exhibiting signs of a late-stage market bubble, engaging in future-pricing with multi-year commitments, circular financing by investing in unprofitable AI customers, and grappling with a "permanently impaired" growth lane due to China export restrictions. Nvidia is also focusing on a new KPI, "tokens per watt," and promoting its new Vera Rubin compute platform, which emphasizes efficiency as the company transitions from growth to optimizing existing operations. The company's reliance on its general-purpose CUDA architecture (likened to a "minivan") is contrasted with competitors building specialized solutions ("sports cars"). Despite strong free cash flow on the surface, this is offset by massive share repurchases and private equity investments, highlighting increased balance sheet complexity and capital intensity. The video concludes that the "easy phase" of growth is over, and the AI bubble will pop not from a revenue drop, but from the increasing "scaffolding" required to sustain growth.

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