TRANSCRIPTEnglish

Michael Burry Really F**K'd Up | AI Collapse

13m 57s2,453 words365 segmentsEnglish

FULL TRANSCRIPT

0:00

People are pissed. Michael Bur is back

0:03

at it again. And people are super pissed

0:05

because now Michael Bur is literally

0:07

attacking everybody's favorite play of

0:10

the last 3 years and that is artificial

0:13

intelligence and chips. Michael Bur

0:16

straight up suggesting that Oracle,

0:19

Meta, and companies like this such as

0:22

Google, Microsoft, Amazon may all be

0:24

totally overstating their revenues.

0:28

borderline defrauding their investors.

0:31

And in this video, I'm going to tell you

0:33

exactly how Michael Bur could be 100%

0:36

right, but how he's 100% wrong today.

0:40

And the best way to make this analogy is

0:43

by talking about my pee peep. Yeah, I I

0:46

really apologize that we have to do

0:48

this, but honestly, we've explained this

0:50

on the channel before, and most people

0:53

just don't understand this or they

0:55

didn't watch this, and that's okay. I'm

0:57

going to assume you will understand and

0:59

that you didn't watch this explanation

1:00

yet, but we're going to use a very easy

1:02

explanation because honestly, this is a

1:04

real example and it is the best example

1:07

you could use to explain what the hell

1:09

Michael Bur is saying and it's very

1:11

simple. Okay, so here's how it works.

1:13

Let's say you buy a plane for $13

1:17

million

1:19

and you assume that that plane is going

1:21

to last you for 13 years. The plane in

1:25

this example is totally

1:27

indistinguishable from a chip. So think

1:30

imagine this is a blackwell chip. It's

1:32

just easier to imagine it as a plane. So

1:34

it's kind of like a car, right? Like

1:36

imagine you buy a car and it's kind of

1:37

like I'm going to assume the wheels are

1:39

going to start falling off by like year

1:40

9 or 10 or maybe 15 or whatever. I mean

1:42

hopefully 15 if we get those 15-year car

1:44

loans. [laughter]

1:46

You will owe nothing and be happy. But

1:49

anyway, so depreciate this plane over 13

1:52

years. How does that work? If a plane is

1:55

going to last 13 years or we think it's

1:57

going to last 13 years and that's

1:58

reasonable, then accountants will agree

2:00

with you. It's not fraud. Accountants

2:02

will agree with you and say, "Okay,

2:03

we're going to write it off over $1

2:04

million per year." That way it doesn't

2:06

look like you're like massively negative

2:08

one year. It just sort of butters out

2:09

the expense. That's all it does. That's

2:11

why a company like Meta isn't going to

2:14

100% write off their chips right now

2:17

because their earnings would absolutely

2:18

tank and people be like, "Oh, what the

2:20

hell happened here?" It'd be crazy.

2:22

You're not going to see that.

2:24

The problem is that these chips have not

2:27

actually gone down in value and neither

2:30

have current chips. They usually do,

2:33

right? Like here you have Google tensor

2:35

pro tensor processing unit demand is

2:38

outstripping supply claims 8-year

2:40

hardware iterations and have 100%

2:43

utilization. So in other words, runtime

2:45

of eight-year-old chips is at 100%.

2:48

Okay, so if runtime for 8-year-old chips

2:51

is 100%, that means they probably

2:53

haven't lost value. They certainly

2:55

haven't gone to zero, right? So, they've

2:57

had more value than we thought they

2:59

would. It's kind of like you go in

3:01

thinking, I think this car is going to

3:02

last me 8 years, but then you end up

3:04

driving it for 13 and you're like, wow,

3:07

I can't believe that thing keeps

3:08

kicking. This is fantastic. Right? Okay.

3:12

So, now I want you to think about the

3:15

plane example because this is huge.

3:18

This aircraft, and this is a real

3:20

example, has not actually gone down in

3:23

value at all. In fact, when I sold the

3:27

plane after 3 years of flying it and

3:30

putting on over 800 hours onto the

3:32

airframe, I sold the plane itself for a

3:35

profit. Obviously, that's different from

3:37

operating costs, fuel, pilots,

3:39

insurance, just the actual plane. The

3:40

chip, I sold the chip for a profit. This

3:42

would be like buying an Nvidia chip 3

3:44

years ago and selling it for a profit

3:46

today. Okay, like ordinarily we think

3:49

that's crazy. Like planes go down in

3:50

value, cars go down in value, chips go

3:52

down in value over time because we make

3:54

new ones, we make better ones. So it

3:57

should go down in value. Why did it go

3:59

up in value? Ah, okay. So this is

4:02

exactly why Michael Bur is currently

4:05

entirely wrong. We have way too much

4:08

demand for chips and these particular

4:11

aircraft and we have too little supply.

4:14

See, a company called Ember, whom I

4:17

started investing in back when they were

4:18

worth like 15 bucks. We talked about

4:19

them in our course member live streams.

4:21

We talked about them on the channel.

4:22

Heck, I invested in them with different

4:24

vehicles.

4:25

A great company. There's so much

4:28

freaking demand for these aircrafts that

4:30

Ember Air stock has like quadrupled. And

4:33

it makes sense because this aircraft is

4:36

the bestselling business jet in the

4:38

country. It became that I believe in

4:40

2023 when NetJets honestly just they buy

4:43

like every single one of them. They're

4:45

waitless for like years to get your

4:47

hands on a brand new one of these and if

4:49

you buy a resale one they sell for a

4:51

premium. The exact same thing is true

4:54

for chips. There is so much demand right

4:57

now and supply is so constrained because

5:00

we just don't have the manufacturing

5:02

ability. We got plenty of designers.

5:04

Amazon's a designer. Google's a

5:05

designer. Nvidia is a designer. AMD is a

5:07

designer. They're all designers. The

5:09

problem is we don't actually have the

5:10

manufacturing lines available to make

5:13

all these chips. Same thing with planes.

5:16

Okay? There are plenty of plane

5:17

designers. We just don't have that many

5:19

manufacturing lines to actually produce

5:22

as many planes as are required. So in

5:26

that case, if there is so much demand

5:28

for an old chip and you're actually

5:31

depreciating it, like in this example,

5:33

$1 million per year, let's say, but then

5:36

after 3 years, the value has actually

5:38

gone down zero. What's actually

5:40

happening is exactly the opposite of

5:43

Mike Kilbur's argument. Meta and Oracle

5:46

and Microsoft are actually overstating

5:49

their expenses, which means they're

5:52

actually understating their revenue

5:54

because these chips have not lost value.

5:56

The plane didn't lose value. So, if

5:58

you're writing it off, any dollar you're

6:00

writing it off means you're overstating

6:03

your expenses. So you could actually

6:06

make the argument today that Michael Bur

6:09

is entirely wrong, that the opposite is

6:12

true, that these chips or that plane

6:14

example have actually gone up in value

6:16

or at least stayed stable and therefore

6:19

they shouldn't be writing off anything.

6:21

Okay, how does this change? And this is

6:24

what I want you to know. So, if you've

6:26

made it 6 minutes into this video, 3

6:28

minutes on 2x, this is why you want to

6:31

subscribe to the channel because I want

6:33

you to understand that you could be a

6:35

bull on that fact right now. Okay, the

6:37

bull is, yo, right now they actually

6:40

might be overstating their expenses. It

6:42

literally takes Bur's argument, turns it

6:44

on its head. Bur is literally going,

6:46

>> "Bitch me."

6:48

>> And he's like, "Bro, how is that

6:49

possible? Why is that possible?" Because

6:51

that's why

6:53

[laughter]

6:53

>> right now that is a fact. Companies are

6:56

probably overstating their depreciation

6:59

because we are still utilizing these

7:01

little chips because supply is so low

7:04

and demand is so high. So what does this

7:05

rely on? Ah right. Let's go back to the

7:08

plane example for a moment. What happens

7:11

if, let's say, there's a recession and

7:14

all of a sudden demand slows for private

7:18

aviation or, I don't know, the FAA comes

7:20

in and says you're no longer allowed to

7:22

fly private jets or I don't know, Greta

7:24

Thornberg finally wins and people aren't

7:26

allowed to have private jets. Well, all

7:29

of a sudden, demand for these aircraft

7:32

is going to plummet. And as soon as that

7:35

demand falls below the level of supply

7:39

that is able to be produced, the value

7:42

of these aircraft will plummet. You'll

7:45

actually see this massive normalization

7:47

where all of a sudden when somebody buys

7:49

an aircraft, wow, it actually goes down

7:53

in value every year. It's odd for a car

7:56

or a plane like during COVID cars went

7:59

up in value, right? Weird, right? Used

8:01

cars were skyrocketing. Weird. not

8:03

normal. Demand really high, supply

8:05

really low. Okay, everybody wanted a new

8:08

car.

8:09

When that demand falls off a cliff

8:12

because of whatever some legal risk or

8:15

recession or whatever, then the value of

8:18

these aircraft will plummet very, very

8:20

quickly because why would you want an

8:22

old one when you can get a new one? The

8:24

same is true of chips. And then

8:27

companies might actually have to go, "Oh

8:30

man, you know, we we were able to use a

8:33

6 or 8year depreciation schedule on

8:36

these chips because old chips were still

8:38

being utilized at 100%. So it was okay

8:41

to change our accounting method." This

8:43

is Bur's argument here. You know,

8:45

instead of depreciating these over 3

8:47

years or four years, we'll go to six or

8:48

seven years or whatever. Six, seven.

8:52

that will change if demand falls off a

8:55

cliff for these and supply or and or it

8:58

could be a combination supply

8:59

skyrockets.

9:01

Okay, then companies will look and go

9:04

crap. If let's say for some reason this

9:06

plane or chip depreciates much more

9:09

rapidly, then we're going to have to go

9:10

back and we'll have to restate our

9:12

financials and we'll actually have to

9:14

write off more expenses more rapidly and

9:17

it'll actually look like in that case we

9:19

have overstated our earnings.

9:23

Aha. That is where Michael Bur's

9:25

argument comes in.

9:27

Michael Bur says by 2028,

9:30

Oracle will overstate its revenues by

9:33

26.9%, Meta by 20%, etc.

9:37

But it gets worse. More detail coming

9:39

November 25th. Now,

9:42

this is where you have to see to

9:44

understand this Bur argument. You have

9:46

to understand that it is entirely

9:48

possible for Bur to be wrong right now.

9:50

And it actually looks like he's wrong

9:52

right now. Just like if you said a plane

9:54

should go down in value, you would be

9:56

wrong right now.

9:59

The same is true though in the future

10:01

that we should normalize. Old trips,

10:05

chips should be worthless. Planes should

10:07

go down in value over time. So it is

10:10

possible that Michael Bur will be

10:12

exactly correct. The only way that he

10:15

will be exactly correct though is that

10:18

for some reason company like let's say

10:20

there's a market crash, companies start

10:22

getting punished for massive capex and

10:25

all of a sudden companies say you know

10:26

what we're just not going to buy

10:28

anymore. I mean remember what the next

10:31

phase is that we're seeing in artificial

10:32

intelligence. We're literally seeing

10:35

Microsoft start advertising co-pilot on

10:38

X or on Facebook. They're using

10:40

influencers to promote Copilot, which I

10:42

think Copilot's the worst, but whatever.

10:45

Everybody has their own opinion on

10:46

these. I'm not trying to offend anyone.

10:47

Like, I I've been a I was a GPT disciple

10:50

and then all of a sudden I discovered

10:51

Gemini. I usually use multiple at the

10:53

same time, but I discovered the latest

10:55

progress of Gemini has made and I'm like

10:57

I personally think they're leading right

10:59

now. But who knows, like tomorrow there

11:00

could be a co-pilot update and maybe

11:02

it's better. And I recognize they use a

11:03

lot of GPT uh as their backbone. But

11:05

point is like things change. And so

11:09

Michael Bur is stating something that

11:11

right now makes him look like a fool.

11:13

And this is why he's getting a lot of

11:14

hate. The reason for the call today,

11:16

John, is depreciation. And you get your

11:19

tunnel vision on the depreciation bomb.

11:22

Bur getting margin called on the short.

11:25

I'm sure the big four accounting firms

11:26

totally overlook that one. Classic

11:29

hammer syndrome. When you got a hammer,

11:31

everything looks like a nail. This this

11:33

guy right here 100% use GPT. I mean, who

11:36

says this? I get it. I once hit big on

11:38

an arbitrage and started seeing ARB

11:40

everywhere, but you don't step in the

11:42

same river twice. What? [laughter]

11:46

Dude, the guy's totally using GPT to

11:48

write his tweets. Whatever. And then you

11:50

got somebody here who's clearly not

11:51

using GPT. Just say you're bagged.

11:55

[laughter]

11:56

And it's like, dude, the internet is

11:58

just freaking hilarious. I can't reply

12:00

to any of these tweets here because if

12:02

you're blocked by Michael Bur,

12:04

[laughter] which I am, you can't reply

12:06

to any of the underlying, which I think

12:07

is so funny that Michael Bur has me

12:09

blocked, but it's it's because in my

12:11

opinion, uh I you know, I provide a

12:14

reasonable counterargument to his

12:16

arguments. That's not actually why I got

12:18

blocked. Uh to be fair, I got blocked

12:20

because I left an eggplant emoji as a

12:23

comment to one of his posts.

12:26

Been blocked ever since. [snorts] That

12:28

said, um, [laughter]

12:31

look, [gasps] I think the perspective

12:32

here is really, really important and I

12:34

think the plane analogy is really great

12:36

because like at some point within the

12:39

next decade, it seems reasonable to me,

12:42

especially if there's a recession, that

12:43

plane values will plummet. It doesn't

12:45

make sense that you could put 800 hours

12:46

on a plane and sell it for more. Like,

12:50

that sounds crazy. And it's exactly what

12:53

happened.

12:54

But again, that's because supply is so

12:57

constrained and demand is so high for

12:58

these aircraft. That will change whether

13:00

it's a recession, supply catching up, a

13:03

combination of those, some form of

13:05

normalization, that will change and

13:08

you're going to have to do a lot of

13:09

catch-up depreciating on some of these

13:10

assets. So, this is why Bur could be

13:13

right in the future, but he's dead wrong

13:15

right now. Uh and so I think knowing

13:18

that is useful because now you can

13:21

identify that inflection point when you

13:25

start seeing that change happening.

13:27

Supply coming up, demand starting to

13:29

taper down, that's your early warning

13:32

sign. And again, that's why you want to

13:33

make it to the end of my videos. So if

13:35

you found that helpful, subscribe and

13:37

we'll see you in the next one. I

13:38

appreciate y'all.

13:39

>> Why not advertise these things that you

13:41

told us here? I feel like nobody else

13:42

knows about this.

13:43

>> We'll we'll try a little advertising and

13:44

see how it goes.

13:45

>> Congratulations, man. And you [music]

13:46

have done so much. People love you.

13:48

People look up to you.

13:49

>> Kevin Pra there, financial analyst and

13:51

YouTuber. Meet Kevin. Always great to

13:53

get your take.

UNLOCK MORE

Sign up free to access premium features

INTERACTIVE VIEWER

Watch the video with synced subtitles, adjustable overlay, and full playback control.

SIGN UP FREE TO UNLOCK

AI SUMMARY

Get an instant AI-generated summary of the video content, key points, and takeaways.

SIGN UP FREE TO UNLOCK

TRANSLATE

Translate the transcript to 100+ languages with one click. Download in any format.

SIGN UP FREE TO UNLOCK

MIND MAP

Visualize the transcript as an interactive mind map. Understand structure at a glance.

SIGN UP FREE TO UNLOCK

CHAT WITH TRANSCRIPT

Ask questions about the video content. Get answers powered by AI directly from the transcript.

SIGN UP FREE TO UNLOCK

GET MORE FROM YOUR TRANSCRIPTS

Sign up for free and unlock interactive viewer, AI summaries, translations, mind maps, and more. No credit card required.