TRANSCRIPTEnglish

The AI Bubble is OVER | Crash Warning

15m 26s2,697 words388 segmentsEnglish

FULL TRANSCRIPT

0:00

software artificial intelligence

0:02

companies are disappointing I really

0:04

think this is the way forward that

0:07

software artificial intelligence

0:09

artificial intelligence companies

0:11

disappoint that's mostly because

0:13

remember what started the AI Revolution

0:16

let's start at the AI Revolution was

0:18

Nvidia Nvidia following GPT right we had

0:23

GPT it's like look oh my gosh we have

0:26

this incredible chatbot what now we have

0:30

services like mid-journey that you can

0:32

plug into Discord and have beautiful

0:34

images as well and we need a lot of gpus

0:37

to process this sort of data and

0:40

information and content creation and so

0:42

we get a couple great pieces of software

0:45

that turn into everyone in the world

0:48

wanting to create another great piece of

0:51

software many of which just built on the

0:53

backs of open AI uh and then obviously

0:56

subsequently Nvidia and otherwise and

0:59

all of a sudden there's this want that

1:01

all of the Legacy companies the

1:03

snowflakes of the world the docusigns

1:06

the crowd strikes the cloudflare that

1:09

all of a sudden all of them are going to

1:11

become fantastic AI companies overnight

1:14

and so far that appears just not to be

1:17

the case especially after you read the

1:20

earnings calls at snowflake where you

1:22

get a really good heads up that

1:24

um maybe the CEOs themselves aren't even

1:26

that confident but not only is it the

1:29

CEOs that aren't even that confident

1:31

about their ability to actually generate

1:33

profits from artificial intelligence but

1:36

it might not even be sort of the tech

1:38

Bros that are generating the biggest

1:40

revenues for software might end up being

1:42

Healthcare which then the question is

1:44

okay well is it the healthcare companies

1:46

themselves that are going to make most

1:48

of the money or is it these other

1:50

companies that are going to make money

1:52

from AI That's the big question right

1:54

now is who's actually going to make

1:56

money from Ai and who it's not

1:58

apparently is Oracle with apparently now

2:02

suggesting that their results the street

2:05

now suggesting that the results of the

2:07

Oracle earnings are raising questions

2:09

about the timing of generative AI a

2:12

demand turning into Revenue across the

2:14

broader business cycle and quite frankly

2:17

I looked this I'm like

2:19

duh like the whole AI stuff started

2:24

about six months ago wow this is really

2:26

when things maybe February so six to

2:28

seven months ago how do you expect these

2:30

massive software companies to turn

2:33

around uh and uh and and start all right

2:36

that's it we know exactly how to make

2:37

money with this they don't snowflake

2:40

literally said it best in their last

2:41

earnings call Snowflake and their CEO

2:44

literally made the argument that you

2:47

know everybody's kind of just been

2:48

thrown into this foray and nobody's

2:50

figured out how to make actual money

2:52

from it yet except for NVIDIA and

2:55

obviously therefore subsequently the

2:56

chip manufacturer so uh my opinion is uh

3:00

again if you're looking at those

3:01

software artificial intelligence

3:03

companies

3:04

probably just something to keep in mind

3:06

that it might end up taking a little bit

3:08

more patience

3:09

now one thing that uh you know when it

3:12

comes to software that people will

3:14

software companies that people do like

3:16

in the artificial intelligence play has

3:19

to do with advertising and data centers

3:21

and specifically

3:23

trade desk uh Facebook meta and uh

3:27

Google uh potentially still being uh and

3:31

AWS as well as Microsoft potentially

3:33

still being up there in terms of

3:34

opportunities to invest in AI where

3:37

you're kind of at that next layer where

3:39

you've kind of got right if there's open

3:41

Ai and then there's all the chip stack

3:43

Underneath It All that has to run on

3:46

servers so how about the server

3:48

providers which Oracle is as well right

3:50

and no surprise the these these server

3:53

revenues those do well but the question

3:55

is what about all the apps that run on

3:58

them are those actually going to make

4:00

money and a lot of that is in much more

4:03

doubt now than uh than people had hoped

4:05

uh but anyway anywho I mean you look at

4:08

sort of the hopium that went into some

4:09

of these plays as well and here's Oracle

4:11

look at the Opium he went from like 59

4:14

bucks in November straight up to 126

4:17

dollars I mean okay big deal you're

4:19

you're down eight percent now in

4:20

pre-market but you're just back to this

4:22

support level where you've been bobbing

4:25

around before so maybe it's actually not

4:27

that crazy from a stock point of view I

4:29

know when people hear oh my gosh you

4:31

know stocks down eight percent or

4:33

whatever even ten percent in the day

4:34

it's a big deal but Stock's done very

4:36

very well here so maybe this isn't that

4:38

big of a deal from a stock price point

4:40

of view but in terms of this happening

4:42

again just wouldn't surprise me to see

4:45

it happen again uh these uh these these

4:48

Services uh are going to be I think a

4:51

lot harder to sell than people think

4:52

mostly because every company is like oh

4:54

yeah we'll we'll turn on the AI button

4:57

maybe AI businesses aren't really going

5:00

to be able to figure out profitability

5:02

this is actually something that we've

5:04

talked about since the beginning of the

5:05

whole AI dilemma the beginning of the

5:07

whole AI dilemma I suggested probably

5:09

the best place to invest would be chips

5:11

and I was also heavily exposed to chips

5:14

and I wasn't saying that to be biased it

5:16

was just simply to say that if everybody

5:18

goes all in on AI the one place you can

5:20

guarantee is going to make money or the

5:22

chips look okay what Intel's doing

5:24

lately it's one of my favorite value

5:25

stocks I have a good chunk of exposure

5:28

to it's been doing excellently I

5:30

actually still think it's highly

5:31

undervalued but it's not just Intel

5:33

which is launching its own three

5:36

nanometer Fab uh actually that is going

5:39

online here in 2024 but it's TSM it's

5:42

asml it's it's your Nvidia it's your AMD

5:45

and my concern was that the SAS

5:48

companies would not be able to catch up

5:50

with with actually providing accelerated

5:53

revenues because they won't be able to

5:55

figure out okay how do we now convince

5:57

people to actually spend money on AI

5:59

The Slowdown that we've noticed

6:02

yesterday in the snowflake optimism in

6:06

their last earnings call which I

6:07

encourage you to read somewhat

6:09

foreshadowed what c3ai talked about

6:12

which I want to talk about in this video

6:14

but just to quickly remind you in the

6:16

snowflake analysis we realized that in

6:18

snowflakes earnings call even the CEO

6:20

feels unconfident about how much AI

6:24

Revenue there's going to be they feel

6:27

like companies are sort of getting

6:29

thrown into sort of jumping into the

6:31

pool of AI and then everybody's kind of

6:33

like okay now what like how do we make

6:34

money here

6:36

c3ai which in my opinion is mostly a

6:40

fraud uh okay that's a harsh word maybe

6:43

they're not a fraud I just think they're

6:44

like I I think their product is not

6:47

really proprietary I think their product

6:49

is their stock I'm being very aggressive

6:52

here because I don't like the company I

6:54

think it is a company that is going to

6:57

perform very poorly and have actually

6:59

always been pretty anti-c3 AI I I think

7:03

that mostly you have institutional

7:05

investors who are like I need AI

7:08

exposure let me put AI into Robin Hood

7:12

oh

7:14

oh c3ai Enterprise AI oh

7:19

invest that's honestly how I feel about

7:23

CTR c3ai like I think the only reason

7:26

stock is actually performed decently

7:28

this year is because people are not

7:31

looking at the fundamentals of c3i

7:33

because they're trash I'll pull them up

7:35

too but most importantly we got to talk

7:38

about what's recently happened here so

7:40

you've got c3ai it's up about 149 year

7:43

to date I actually think it has a lot

7:45

more to follow and it has recently

7:47

Fallen a chunk you can see that here

7:50

from its highs right around August 1st

7:52

it's not about 37 percent highs around

7:55

the middle of June it's down even more

7:57

down about 40 percent you've been on a

8:00

recent downtrend here with a little bit

8:02

of a recent correction over just the

8:04

last couple days here of about 12 and so

8:07

a lot of folks wondering Okay Kevin what

8:09

what happened well I I you know I don't

8:12

know but we're gonna find out together

8:13

all right ready and then we'll go look

8:15

at the fundamentals of it so c3ai gave

8:18

lackluster sales four tasks and set

8:22

profitability will take longer than

8:24

expected fueling anxiety the software

8:27

company is struggling to capitalize on

8:29

an enthusiasm for artificial

8:31

intelligence folks this is absolutely no

8:34

surprise this is exactly what I've been

8:36

saying on this channel since the AI hype

8:39

began it's going to be very difficult

8:41

for these companies to actually convince

8:44

especially regular consumers to just

8:46

spend a lot of money on AI most

8:48

consumers have no idea what they're

8:51

doing with artificial intelligence and

8:53

I'm not saying that to like insult

8:55

people it's just I think people have

8:56

gone in they've tried GPT 3.5 they're

9:00

like haha that's kind of cool and then

9:02

they never use it again you know they

9:05

find an excuse to never use it uh like

9:07

and not as a pitch but like one of the

9:10

one of the courses I made how to make

9:12

more money and get sh9t done faster is

9:14

on productivity and building your income

9:15

and that you can see all the courses at

9:17

me kevin.com we have a whole AI section

9:19

at

9:20

and what I designed the AI section

9:21

around is how can you actually use AI

9:25

like not oh let's find every AI tool

9:29

that exists in the world and go wow look

9:31

they're 2 000 AI tools nobody cares

9:34

about your 2000 AI tools most of these

9:37

companies are going to go straight

9:38

bankrupt like if I were a venture

9:40

capital fund I would be allocating

9:43

pretty little to all these crazy AI

9:46

software companies unless they really

9:48

were able to prove that they actually

9:50

had a revenues which I actually don't

9:52

think they're going to be able to do so

9:54

what you end up stuck with is a lot of

9:57

companies burning a lot of money on

9:59

server usage and most of them were going

10:02

to go bankrupt and then you'll see

10:04

Server usage stabilize and then demand

10:06

for like Nvidia chips and all that sort

10:08

of stabilize but I do think it's

10:10

interesting because you know you can

10:12

jump on over to some of these and I want

10:14

to look a little bit more at some of

10:15

this news headline but this was from uh

10:18

this was the nine months ending in Jan

10:20

January so not the most recent earnings

10:22

report but the one that I was basing my

10:24

frustration on on c3ai here's a company

10:26

that loses a hundred and at least about

10:29

50 million dollars a quarter 142 in nine

10:32

months and uh plant property and

10:35

Equipment if you look at free cash flow

10:37

you're actually about 200 million

10:38

dollars lost in a nine month period if

10:42

you look at Revenue growth over the year

10:44

their subscription growth is flat their

10:48

total revenue is actually negative their

10:52

gross profit is negative which means

10:54

their net loss almost doubled so uh it's

10:59

just disgusting they've got about 800

11:01

million dollars of cash about 60 million

11:04

dollars of bills so they still have cash

11:06

they could last a few years and they'll

11:09

end up burning this and I think bleeding

11:11

out unless they can figure out how to

11:12

make some more revs but anyway the

11:14

fiscal year adjusted loss is now

11:16

expected to be as much as 100 million

11:18

dollars in actual loss so when you

11:19

considering a cash flow it'll be even

11:21

more than that and previously uh

11:23

released forecasts they were expecting a

11:25

loss of about 75 mil so actually

11:27

expecting more of a loss that's kind of

11:30

crazy because it's like we're expecting

11:31

a 75 million loss now we're losing more

11:34

money or yeah now ai comes out and guess

11:36

what we're losing even more buddy oh

11:39

geez it's just embarrassing uh so c3a I

11:42

said it no longer expects to make a

11:44

profit on an adjusted basis in the

11:45

fiscal fourth due to new Investments

11:48

they're making into oh yeah okay listen

11:51

to this oh that's see this is another

11:53

thing I absolutely despise okay they're

11:55

not making new investments into r d you

11:58

ready for this new investments into

12:01

sales and marketing

12:04

oh no no like if you I mean like there's

12:09

some level of sales and marketing

12:11

obviously that's necessary uh like for

12:14

example if I say your opportunity to buy

12:17

any of the individual courses uh on

12:20

building your wealth stocks you're to

12:21

millionaire uh real estate investing

12:24

building your wealth whatever uh is is

12:26

going to go away because they're all

12:27

going to be bundled together as one

12:29

larger and more expensive software you

12:31

know set of software uh and uh and it'll

12:34

be more expensive if you don't buy soon

12:36

if I don't mention that then obviously

12:39

you don't sell but then if you just if

12:41

the only way you're trying to grow is

12:43

not by innovating doing research and

12:46

adding more value to your product which

12:47

I do all the time

12:49

and all you're just doing is running

12:51

more like Google ads let's say then then

12:54

are you really a good product I I don't

12:56

think so yeah personally I don't run

12:58

Google ads maybe we should a little bit

12:59

a little bit of remarketing never hurt

13:01

but anyway the market opportunity is

13:03

immediate and we intend to seize it says

13:05

the CEO right they intend to seize it

13:08

not with more r d but rather with

13:10

marketing more yes yes let's Market the

13:13

stock more because that's actually

13:15

usually all I see them the market it's

13:18

kind of crazy some investors will remain

13:20

skeptical about the company

13:22

uh it is the most shorted U.S stock as a

13:25

percentage of shares traded wow really

13:28

let's look at the uh short interest here

13:31

let's see here so if I go to the apps

13:35

portal I'll go ahead and pull this up

13:36

but I'll keep reading this in the

13:37

meantime so see through AI but shortage

13:41

shares have recently dropped a bit c3a I

13:43

projected sales 72 to 76 current period

13:46

lower from the average estimate of

13:49

analysts okay great

13:52

oh yeah this was another big thing with

13:54

c3ai I remember going through this when

13:56

I went through their last earnings call

13:58

that they have one client that

14:00

represents one third of the business

14:02

yeah actually I think I have it

14:04

I have it highlighted in here somewhere

14:06

uh but it was Baker yeah here it is

14:10

Baker Hughes uh basically Baker Hughes

14:14

makes up about one third of their

14:16

revenue and this is an oil field

14:19

contractor and what's kind of wild is

14:22

this company actually sold about one

14:26

third of the stake they had in c3ai

14:28

which a lot of people are looking at and

14:30

saying is a signal that Baker Hughes is

14:32

like yo the AI you guys have isn't that

14:35

great

14:36

so we're just gonna start like dumping

14:39

some of your stock as we you know try to

14:42

recoup what we can on the fact that

14:44

we're stuck in a contract with you oh

14:47

rip

14:48

so anyway the C3 AI hype not a surprise

14:53

that you're suffering not a surprise

14:55

that DocuSign is complaining not a

14:57

surprise that snowflake is complaining

14:59

that's what's made me very nervous about

15:03

the software uh stack for artificial

15:05

intelligence but uh oh well advertise

15:09

these things that you told us here I

15:11

feel like nobody else knows about this

15:12

we'll try a little advertising and see

15:14

how it goes congratulations man you have

15:16

done so much people love you people

15:17

looked up to you Kevin path right there

15:19

financial analyst and YouTuber meet

15:21

Kevin always great to 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.