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The AI Bubble Just Popped | Here's What's Worse

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The AI Bubble Just Popped | Here's What's Worse

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766 segments

0:00

I spent months telling you that the AI

0:02

bubble is going to pop. I still believe

0:04

that. But I was wrong about something

0:06

and it's worse than I thought. [music]

0:12

I'm not walking back my original AI

0:14

bubble pop thesis. I do believe that AI

0:17

is a bubble and I do believe that it has

0:19

already popped. You can look at any

0:21

number of my videos describing the circ

0:24

circular financing scheme where

0:26

companies with infrastructure compute

0:29

GPUs pay money to AI companies but with

0:32

the contingency that those AI companies

0:34

then have to spend the money on compute

0:37

on their compute. Nvidia is doing this

0:39

famously with a number of different AI

0:41

providers. And where do the AI startups

0:44

get the money? They get it from venture

0:45

capital people who are also leveraged

0:47

ostensibly in data center construction.

0:50

So it is a circular financing scheme

0:53

with the major hyperscalers now in their

0:56

guidance for 2026 all announcing huge AI

1:01

capex for the year totaling about 680

1:04

billion across the five largest ones.

1:07

This thesis is further reinforced and I

1:10

still buy it. I still maintain that the

1:11

AI bubble has popped and the finances

1:14

are just waiting to catch up with it.

1:16

You will note in my videos and a few

1:17

very astute viewers have mentioned this

1:20

in the comments. I don't say exactly

1:22

what's going to happen when the bubble

1:24

pops and that's because I didn't really

1:26

know until now. You'll notice again if

1:29

you listen closely to all of my videos,

1:30

I' I've been talking about this. I never

1:32

say that AI is totally useless. It

1:34

doesn't do anything. I get the

1:36

frustration with it. I'm frustrated with

1:37

it, too. It's changing things very

1:39

quickly. it seems like to suit the whims

1:41

of a few technology oligarchs that are

1:44

in control of all of our decisions

1:46

around work, how much we're paid, the

1:48

amount of work we do, those sorts of

1:49

things. I share your frustration there.

1:51

But you'll note in every video I say

1:53

that AI is actually useful. It's not the

1:55

end- all beall, but it is fairly useful

1:58

for a number of things. My background is

2:00

a software engineer. I don't do much

2:02

coding on the co on the job these days

2:04

anymore. I've been in leadership for a

2:06

long time, but it has reopened up my

2:08

world for working on side projects and

2:10

sprinting through some code to just get

2:12

some stuff to happen. Just cool projects

2:14

I've been working on. It's a blast. One

2:16

of my friends put it to me this morning.

2:17

He said, "It's like being 11 again and

2:21

discovering the internet for the first

2:23

time." So, I'm going to walk you through

2:24

my current position on these tools and

2:26

my current assessment. I'll explain what

2:29

has totally changed my mind and that I

2:31

totally missed that I discovered about a

2:33

week ago that changes a lot of

2:35

implications of what's going to happen

2:37

when the AI bubble pop fallout reaches

2:40

the mainstream. I'll talk about the

2:41

historical evidence drawing a parallel

2:43

between the AI bubble currently popping

2:46

and the dot bubble. Then we'll talk

2:48

about what that pop is actually going to

2:50

look like once it proliferates outwards,

2:52

who's at risk, and what to do to protect

2:54

yourself when it all comes crashing

2:57

down. You tried chat GPT, you tried

2:59

C-Pilot. What was your honest reaction?

3:02

>> Honest reaction when trying ChatGpt,

3:04

Claude, all of these LLMs at first was

3:08

from the get-go, hey, this is fairly

3:10

useful. It's not going to massively

3:12

change how I work, but it's fairly

3:14

useful. I remember about I remember

3:16

right around the time chat GBT 3 or 3.5

3:21

came out. It was in the airport. I was

3:23

at John Wayne Airport. I was waiting to

3:25

fly back to Phoenix and I was sitting in

3:27

the lounge and I'm there early for my

3:28

flight so I got like an hour to kill. So

3:31

I pop the laptop open and I was about to

3:33

get going on a side project and I see a

3:35

hacker news post announcing that

3:37

OpenAI's got this new chat model out.

3:40

Here's the link. So I go sign up and I

3:41

start trying it right away just

3:43

expecting kind of a you know typical if

3:45

this then that chatbot and I'm quite

3:48

pleasantly surprised to find that I can

3:50

carry on at least a basic conversation

3:52

with it. It has a personality. It can

3:54

answer questions about itself and it can

3:56

even drive the conversation if I ask it

3:58

to. But at this stage, it's, you know,

4:00

no more than a party trick, a curiosity

4:02

to be sure, but not immensely

4:05

immediately helpful. As the months go

4:08

on, we get access to this at my current

4:10

place of employment where I was working.

4:12

There's some new models that come out.

4:13

We get access to some of anthropics

4:15

latest stuff, and I start using it to do

4:18

just simple automation things. I have it

4:21

write some very basic bash scripts for

4:23

me, some Python scripts. Every once in a

4:26

while, I might ask it a coding question.

4:28

And for the most part, it does pretty

4:30

well until you throw an immense amount

4:32

of complexity at it. It gives a

4:33

straightforward answer or it generates a

4:34

shell script that deletes files in this

4:37

folder every day at a certain time.

4:39

Stuff that's relatively easy to look up,

4:41

but it's genuinely saving some time for

4:42

me around this point. Once these models

4:45

reached a point where they were able to

4:47

have complex and in-depth conversation,

4:50

I'd estimate probably around the 120 to

4:54

130 IQ level. They became immensely

4:56

helpful for researching, but I still

4:59

thought it was hype because essentially

5:00

this is just a chatbot. It does not have

5:02

true autonomy. It does not have a way of

5:05

working and functioning in the world.

5:06

It's just stuck in this chat interface

5:08

back and forth, back and forth. It's

5:10

starting to reach out into the world

5:11

through some coding tools like cloud

5:13

code or codeex cursor etc. But largely

5:17

this is just a better version of the

5:19

same. It's saving some time with those

5:21

coding questions. It's able to do more

5:22

complexity work a little bit more on its

5:24

own now but it ultimately just feels

5:26

like a better mousetrap.

5:28

>> What made you write it all off? What

5:29

specifically felt like hype? Like I said

5:32

a lot has happened over the past couple

5:34

of weeks. The biggest thing that has

5:36

happened, if you have been living under

5:38

a rock and you haven't heard about it, I

5:39

even have friends that are outside of

5:40

tech texting me about it is the release

5:45

of Clawbot, now known as Open Claw. It

5:49

uses existing models behind the scenes.

5:51

So, it uses models by Anthropic,

5:53

ChatgPT, whatever model you want to plug

5:56

into it. But it's an interface layer

5:58

with this model that totally changes the

6:00

paradigm of how it works. You could

6:02

choose whichever chat interface you want

6:04

to use to interact with it. I chose

6:06

Discord and I genuinely find now I'm

6:09

able to delegate very large autonomous

6:11

and recurring tasks to the machine and

6:15

it's done them to a very high level of

6:17

satisfaction for me. Another friend who

6:19

really urged me to try this tool said

6:21

something precient about it. He said,

6:23

"Josh, this is different. There is

6:26

something special here." And I think

6:28

that's very well put. That's how I feel

6:30

when I'm using Open Claw.

6:32

>> What can you do now in 5 minutes that

6:33

used to take you hours?

6:35

>> Well, as you know, the YouTube

6:38

subscribership has been growing

6:40

explosively for my channel over the past

6:42

couple of weeks. I'm happy to make

6:44

videos, but really at heart, I am a

6:45

writer. I am not a talker in front of a

6:48

camera. I'm doing this as a necessary

6:49

evil. I prefer to write. I've kept a

6:51

blog for a very long time now in

6:54

multiple different iterations. And so,

6:56

ultimately, what I want you to do is

6:57

read the blog. And the best way you find

6:58

out about the blog and when I have new

7:00

posts is through the newsletter. You can

7:01

sign up in the link down in the

7:03

description. How's that for a nice

7:04

subtle plug? But I realize my website is

7:06

not really set up in a way where you can

7:08

find out about the newsletter, where you

7:10

can easily access my blog. It's kind of

7:12

all over the place. So I open up

7:15

Discord. I shoot openclaw a message and

7:17

I say, "Here's my goal. I want you to

7:20

modify the website. I want you to make

7:21

it easy for people to sign up for the

7:23

newsletter. I want you to make it easy

7:24

for people to find the blog, find the

7:26

YouTube. This should be central command

7:28

for all things Dr. Josh C. Simmons so

7:31

people can find my stuff easily. No more

7:34

than 2 minutes later, it had made the

7:36

code changes to the website. It had

7:38

committed and pushed the code to my

7:40

GitHub repo and it had deployed it on my

7:43

hosting service. So by the time it

7:44

reported back a couple of minutes later,

7:47

the changes that it made that I didn't

7:50

really ask it to make, I just said to

7:51

improve it to meet this requirement were

7:55

done and in production. Now, you could

7:56

argue that's not rocket science. It's

7:58

not totally reinventing the wheel,

8:00

right? It's some front-end coding, a

8:02

couple of server side methods. It's

8:04

fairly straightforward for a competent

8:05

coder. That being said, I'm a busy guy.

8:08

I work a full-time job. I'm getting the

8:10

YouTube channel off the ground. I'm a

8:12

parent. I'm active in my church. Like,

8:14

there's a lot going on. And so,

8:16

something like that, a reconfiguration

8:18

of my website, that's going to be a four

8:20

or five hour task on a Saturday that I

8:22

don't really have these days. So, I

8:24

could just send OpenClaw a message to do

8:27

that for me. It's still what I want.

8:29

It's still driven by my direction, but I

8:32

don't have to get caught up in the

8:33

details anymore. And I think it was at

8:34

that moment I realized that my friend

8:38

was right. There really is something

8:39

special here. Things have changed in a

8:41

big way. And the very strange thing

8:43

about that is I I am a believer that I

8:46

think a lot of clerical work jobs in

8:49

offices, they're just not going to be

8:51

necessary 6 months from now. Once

8:53

somebody figures out how to set

8:55

permissioning on this, there's a couple

8:56

rough edges, but it largely does the

8:59

task today. Like if someone's job is to

9:02

compile reports out of other data and

9:04

write up a report every week, like

9:06

that's not a job that a human is going

9:09

to be doing in 6 months. And the reason

9:11

that I say that it is actually going to

9:13

wipe out a lot of jobs, which is

9:14

something that until last week I was

9:16

very bearish about. I did not think this

9:18

was going to meaningfully replace office

9:20

jobs, but it's going to replace most

9:22

office jobs because essentially what

9:24

they've done, remember they have not

9:27

made a new model. These are running on

9:29

the existing models that you can access

9:30

in Cloud, OpenAI, Google Gemini. It's

9:34

using those existing models. All they've

9:35

done is they put a framework on top of

9:37

it. And the way that I like to

9:38

conceptualize it is essentially they've

9:40

given these models a body, not a

9:43

physical body, but a virtual body that

9:45

can take virtual actions. Now, sure you

9:48

had connectors in Claude and Chat GBPT

9:51

and Google with their Google Workswuite,

9:53

but they suck, right? If you ask Gemini

9:56

to modify a Google doc, half the time

9:58

it's like, I can't do that. I can't find

10:00

it. And that's all in Google's

10:02

ecosystem. If you ask OpenClaw to buy

10:06

you stuff on Amazon with a prepaid gift

10:07

card, it's like, sure, champ, hold my

10:09

beer. I got you. And that's the same

10:11

model underneath, too. So, I truly

10:13

believe this is going to replace most

10:15

office jobs. And that's already

10:17

concerning enough because you you have

10:18

to start to think what do we what do we

10:20

do about people that are unemployed?

10:23

We need some kind of a universal basic

10:25

income probably. But that would assume

10:26

that our corporate and government

10:27

overlords have some empathy for the

10:30

situation. I don't think they do. So I

10:32

don't know exactly what that looks like.

10:33

But I do know that this is going to put

10:35

most people out of work in office jobs

10:38

inside of six months. I also know that

10:40

you may think, "Hey, but Dr. J, my job

10:43

is exempt, right? It's exempt. I work

10:47

with people. I'm a salesperson and I

10:50

work directly with people and that can't

10:52

be replaced with a robot. And I think

10:54

you're wrong long term, but I think

10:57

shortterm you may be right. But there's

10:59

a flag on the play. And hear me out on

11:01

this. If we got salesman Jim, your

11:03

name's Jim, you're salesman Jim, and we

11:05

got salesman Bob. And Jim, you're

11:07

staunch about not using AI. You're just,

11:09

I don't want to use it. I don't care

11:11

what it does. I don't care how great it

11:12

is. I'm in sales. I'm not going to use

11:14

it. And then you got salesman Bob. And

11:16

Bob is like all in on OpenClaw. They got

11:19

the stuff set up. They got it plugged

11:20

into their systems. Bob has done his

11:22

research. He's been watching this

11:24

channel. He knows what's going on with

11:25

these tools and where they're headed.

11:27

And they need to do research on leads.

11:30

Guess who's going to have the more

11:32

comprehensive lead research? It's going

11:35

to be Bob. Jim, your your time is

11:37

limited. You have to sleep. You have to

11:39

eat. And honestly, you can't work that

11:42

fast compared to a computer. If Bob

11:45

wants to spin up an analysis on Acme

11:47

Corp, who you guys are trying to sell

11:48

software to, he can say, "Open claw, you

11:51

know, go off, research Acme, get all of

11:53

their stuff online, pull their quarterly

11:56

earnings, tell me what their weak spots

11:57

are, what their needs are, where my

11:59

service could slot in. Furthermore, I

12:01

want you to go to all of the key

12:02

personnel's LinkedIn pages. I want you

12:05

to research all of the information you

12:06

can find on the web about them and build

12:08

a package on what they might be

12:10

vulnerable to in a sales pitch, what

12:12

they might go for, decisions they've

12:14

made in the past, and give me a

12:16

comprehensive uh briefing document

12:18

before I walk into that meeting. Bob is

12:20

going to have better intel than you.

12:23

That's not a value judgment. That's

12:25

using a tractor instead of a horse. So,

12:28

I'm not saying that this is the answer,

12:29

and we'll we'll get into who's who's at

12:31

risk, who's safe later, but this stuff

12:34

is going to change the workforce in a

12:36

big way.

12:36

>> In 1999, everyone said the internet

12:39

would change everything. They were

12:41

right. And investors still lost 80% of

12:44

their money. How? We're always relating

12:47

this back to the dot bust. And the

12:52

parallels are immense. I reference it in

12:54

most of my recent videos where I get

12:56

under the hood with this stuff. The

12:57

thing that you have to remember with the

12:59

dot bubble is that the tech built by the

13:02

companies that went bankrupt and

13:04

irrelevant out of that bubble built the

13:06

internet that you are using to watch

13:08

this video. We would not have YouTube.

13:11

We would not have tech companies. We

13:13

would not have AI if it was not for the

13:16

dot boom preceding the dot bubble and

13:19

pup. What we have now is a phenomenon

13:21

that's less like standing on the

13:24

shoulders of giants and more akin to

13:26

standing on the shoulders of ghosts

13:28

because remember out of that tumult you

13:29

had pets.com defunct out of business did

13:32

not capitalize on the dot bubble in the

13:35

correct way and then you have a survivor

13:37

like Amazon who embraced a new type of

13:39

funding model they were willing to

13:40

innovate they were willing to work

13:42

differently they survived and now they

13:44

dominate for better or worse probably

13:47

worse the e-commerce market. So you

13:49

probably be asking the question, you

13:51

know, Dr. J, how do you reconcile this

13:53

with your bubble popup hypothesis? Then

13:55

how are you now saying that AI is

13:58

actually going to provide tangible value

14:01

in the sense that it will operate for

14:03

the cost that AI operates and it will

14:05

replace human workers? How do you

14:06

reconcile that with a bubble? And it's

14:09

simple. Historically, the dot bubble

14:12

illustrates this, right? I just said it

14:14

earlier. The tech we're using right now

14:16

was made by a lot of companies that are

14:18

now defunct that went bust because of

14:20

the bubble. The same thing is going to

14:23

happen to AI and for the first time I

14:26

really believe in both things. I believe

14:28

that one the bubble has already popped

14:30

and the financing the funding scheme is

14:32

unsustainable. The figure we always like

14:34

to quote on this channel 4 cents on the

14:36

dollar. 4 cents on the dollar. That's

14:37

what AI companies are making for every

14:40

dollar they spend only 4 cents. That's

14:42

an unsustainable business model.

14:43

Anthropic's $380 billion valuation

14:48

proves this completely underscores that

14:50

point that the funding hype is

14:52

unsustainable. It is un un there's

14:55

nothing like it even compared to the dot

14:57

bubble. The funds are are bigger. The

14:59

bets are bigger. The risk is bigger. I

15:02

also believe that this technology is

15:04

valuable and it will replace a lot of

15:07

human workers like a significant amount

15:10

like way more than I thought 2 weeks

15:12

ago. And so the.com bubble proves that

15:14

both of those things can be true. That a

15:17

very [snorts] useful and worldchanging

15:20

technology is being developed and the

15:23

funding situation is completely un

15:25

unsustainable that is surrounding it.

15:27

Both of those things can be true and

15:28

they're true here for this AI bubble.

15:30

Everyone is arguing about whether AI is

15:33

overhyped or underhyped and they are

15:35

both wrong because of this third

15:37

position I've just outlined. Or maybe

15:39

they're both right. It's overhyped.

15:42

Financially, it is underhyped for the

15:45

technology.

15:45

>> Why is it crashes and it changes

15:47

everything a darker outcome than either

15:49

side is selling?

15:50

>> Because we don't know who's going to

15:52

survive or what the landscape is going

15:53

to look like after it pops. Will it be

15:56

open AI, Anthropic, Google? Will it take

16:00

your job? Is it financially feasible

16:03

enough to make 4 cents on the dollar and

16:05

also take someone's job? What are you

16:07

going to do if it does replace your job?

16:09

and the tech monopolies are still making

16:11

this kind of money. Who should pay for

16:13

universal basic income? It's darker

16:15

because we have now less clarity about

16:17

what is going to happen when this all

16:19

comes crashing down. The darkest part of

16:21

all of this is the question, who is at

16:23

risk? Because we are all at risk. Nobody

16:28

is safe from this and we can't do

16:31

anything to stop it. I tell you, I'm not

16:33

in my own echo chamber on this. I have a

16:37

friend that has a pool cleaning

16:39

business. I have a friend that's a

16:41

plumber. I of course have a bunch of

16:43

friends working in tech in a bunch of

16:45

different types of industries in tech.

16:47

And I talked to this about all of them.

16:49

And I'm always curious to know how much

16:51

they know about AI. My parents too,

16:53

which are now almost senior citizens.

16:56

And one of the things that people always

16:58

argue, and I see this argument on Reddit

17:00

and Blind and other places, is that if

17:03

you are working in the trades or working

17:05

in some kind of physically involved

17:07

industry, you're exempt from this.

17:10

You're safe. Your job isn't going to be

17:12

replaced. And that's not true. Nobody is

17:15

The only people exempt from this are

17:17

people that have enough money to not

17:19

work anymore and live off of

17:21

investments. Those are the only people

17:24

exempt from it. Otherwise, it's us

17:25

versus them. We are all at risk for

17:29

this. I don't care if you have a

17:31

landscaping business. I don't care if

17:33

you are writing reports that are never

17:36

read that kick up to management layer. I

17:38

I don't care. We are all in this boat

17:40

together. Because remember, either this

17:42

is going to fully replace an employee

17:44

and that's the the sort of

17:45

straightforward plug-and-play scenario

17:47

or what's going to happen is if you

17:49

don't use the tool to gain a competitive

17:51

advantage in your field, somebody else

17:53

will and they will outpace you. I saw

17:56

it's it's big out here in Arizona. I saw

17:58

when I was driving to church this

18:00

morning a billboard for trash can

18:02

cleaning. It gets to be about 115°

18:05

Fahrenheit in the summer. If you have a

18:07

trash bag that's a little leaky, it gets

18:09

some blood or fat from some meat you put

18:12

in there uh on the bottom of it and it

18:14

cooks at that 115° temperature. The

18:18

smell is incomprehensible. It is lethal.

18:22

It disrupts the brain waves. It's so

18:23

severe. And so a big industry here is

18:26

trash can cleaning. They come around

18:27

with a little mobile unit. They got a

18:29

power washer, some industrial soap. They

18:31

hose it out and then they pour it right

18:33

down the sewer, which is probably not

18:34

great. I've never had my trash cans

18:36

clean. That seems like a little bit rich

18:38

beyond my pay grade. Anyways, it's a big

18:40

business out here, right? And I don't

18:42

know anyone that has a trash can

18:43

cleaning business, but like I said, I

18:44

know people in plumbing. I know people

18:46

in pool cleaning. I know that most of

18:49

them aren't using AI at all. They some

18:52

of them abhore it. Other others just

18:55

don't know how to set it up. Don't know

18:56

how to use it past using it as a basic

18:58

chatbot. But if you are using something

19:00

that takes action on its own today, it's

19:02

open claw, which is open source. That's

19:04

not like a product you buy if you think

19:06

I'm hyping it. It's open source. So,

19:07

it's only a matter of time before

19:09

somebody takes this, commercializes it,

19:11

and then puts it in a rapper that

19:12

normies outside of software development

19:14

can understand and can use that. That

19:16

will happen within weeks or months. And

19:19

by the way, whoever does that is going

19:20

to make a bajillion dollars off of it. A

19:23

bajillion dollars easy. That's why

19:24

Anthropic is probably going to buy these

19:26

guys out before they can get some ideas

19:28

of their own. I digress. Back to our

19:30

trash can cleaning business. So, you got

19:33

these trash can cleaners, right? And if

19:36

I start a trash can cleaning business up

19:38

tomorrow, no offense to those guys, but

19:41

you know, you get the machine for it,

19:43

you get the power washer, and there's

19:45

I'm sure some level of craft to it, but

19:47

at the end of the day, it's cleaning a

19:48

trash can, right? Like, you can you can

19:50

learn and be get probably pretty good at

19:52

it within a couple of weeks. There's

19:54

going to be some gotchas, but it's

19:55

powerwashing a trash can. It's

19:57

low-skilled labor. I don't even think

19:59

trash can cleaners would get mad if I

20:00

said that. But if I get, you know, maybe

20:03

a small business loan or some friends to

20:04

bankroll, hey, I'm going to do a trash

20:06

can cleaning business. All of a sudden,

20:07

I'm I'm competing with those guys. And

20:09

then I start to do analyses of

20:12

neighborhoods that are more likely to

20:14

get their trash cans cleaned or pay a

20:15

higher dollar value for it. Maybe I do

20:17

it by income. And I pull MLS records.

20:21

Maybe I have a friend who's a realer

20:22

that can get me access to the MLS

20:23

system. I pull like home sale values to

20:26

figure out like where are the highincome

20:29

houses and neighborhoods and I start to

20:31

pump this data into the AI and I have it

20:34

do automated research, find out who

20:35

lives there, uh send mailing to these

20:38

houses, optimize the route so I spend

20:40

less on gas. There are many things I can

20:42

do to increase my level of competition

20:44

against these other guys and eventually

20:47

I will put them out of business or I

20:48

will significantly negatively impact

20:50

their business. And that's a field where

20:52

it's like, hey, I, you know, it's a

20:53

trade, it's kind of a trade. I use my

20:55

physical body. I'm I'm out there. A

20:56

robot can't do that. And it's like,

20:58

yeah, probably not today. Probably not

20:59

in the next 5 to 10 years, honestly,

21:01

with the sad state of uh humanoid

21:03

robotics right now. But the other things

21:05

that you have to do as part of running a

21:07

business, if somebody comes along and

21:10

automates those with AI, you are now

21:13

competing with one person who is working

21:16

with the capacity of 10 to 100 employees

21:19

that you don't have. or if you do have

21:21

them, you need to pay all of them a

21:23

salary. And we can sit here and hem and

21:24

haw and argue about the morals of that

21:26

and whether we should or shouldn't. And

21:28

that's certainly a debate we should be

21:30

having. But the thing I'm trying to

21:32

drive home, the thing I'm trying to

21:33

explain to you in these videos is that

21:34

this is happening. This is going to

21:37

happen. It is a fantasy to think that

21:40

this AI bubble pop will happen and then

21:42

AI will go away. There is no eventuality

21:44

in which that happens. So I don't think

21:47

white collar jobs, blue collar jobs,

21:50

whatever color jobs, none none of these

21:52

jobs are safe whether directly through

21:54

replacement by AI or indirectly through

21:58

the empowering your use case, drumming

22:01

up competition, doing better analytics

22:04

on where you should focus your efforts.

22:05

Those are just those are just the facts.

22:07

I really maybe there's one or two, but I

22:09

can't off the top of my head think of

22:10

anything that is totally totally safe.

22:13

Totally safe. Hit it in the comments if

22:15

you do think of something that's totally

22:16

safe. I would I would love to hear about

22:18

it, but I've been racking my brain and I

22:19

cannot think of something safe,

22:21

something exempt from this. Even if you

22:23

do use it, even if you do use it, it's

22:26

going to force multiply your output. So,

22:28

there's going to be less people in your

22:29

position. So, it's going to drive up the

22:31

competition. I think we're already

22:32

seeing this happening in software

22:34

engineering. All of a sudden, one

22:35

engineer can accomplish way more in a

22:37

day augmented by AI. They don't need to

22:39

write boilerplate code anymore. They

22:41

don't need to spend 5 hours tracing a

22:44

function call to find the origin of some

22:46

data. They can just ask the computer and

22:48

it can relay that information with a

22:50

high level of certainty. So here's what

22:52

I want you to do this week. Here's what

22:55

I want you to do this week. If you do

22:57

not have a subscription to one of the

23:00

major AI providers right now, I would

23:03

suggest getting one. $20 a month. You

23:05

can choose from Grock, Gemini,

23:09

Chat GBT, Claude through Anthropic. I'd

23:13

say go Claude, but these things change

23:16

pretty much day by day on which one is

23:18

the best forefront provider. So, just

23:21

pick one. Ultimately, they're all

23:22

improving at a massive rate. Pick one

23:24

and try to replace Google search for a

23:27

week and just see how that goes. See

23:30

what it feels like. See if it makes

23:31

things faster for you. You probably

23:33

Google a bunch of things every week. I I

23:36

had one earlier. I had the windshield

23:37

replaced on my truck. They got a rock

23:39

chip in it. They put a new windshield in

23:41

and it's one of the fancy new ones where

23:42

it does the uh it's got a camera in it

23:44

and it does the lane assist and the

23:46

adaptive cruise control where it keeps a

23:48

consistent distance uh based on speed to

23:50

the car in front of you. Uh it's not

23:52

it's not a Tesla, it's not a Cybert

23:53

truck, don't worry. But it's um it's got

23:55

all those kind of adaptive features. So,

23:57

they have to recalibrate the camera when

23:58

they put the new windshield in and the

24:01

active lane assist was off. And I kept

24:03

thinking about it, kept forgetting about

24:04

it. And so, before I pop in my truck to

24:06

head home from church today, I just I

24:08

search it real quick on Perplexity. I'm

24:10

like, I got a Ram 1500. Active lane

24:12

assist is off. Did they up the

24:14

calibration when they were doing the

24:16

windshield? And it's like, no, actually,

24:18

they they didn't. There's a big button

24:21

that you missed on the dashboard. It's

24:23

like right there. And I look and sure

24:24

enough, I'd been looking at the

24:25

dashboard the past like three times I

24:26

drove it and there's a huge button that

24:28

has a car going out of a lane and it's

24:30

got an orange light next to it. So I

24:31

toggle it and it's back on. It's good to

24:32

go. But my point is is like I hate

24:35

YouTube how-to videos. Like would I have

24:37

had to watch like a YouTube how-to video

24:39

of some guy saying, "Hey, I'm Joe Bob

24:41

and welcome to my garage. And back when

24:43

I was five, I got my first car." And you

24:46

probably are familiar with this if you

24:47

look up recipes, right? Even for the

24:49

time saving on recipes right now there.

24:50

That's a huge It's always I grew up in a

24:53

village in Greece when I was three and

24:55

my mom used to cook this recipe and it's

24:56

like blah blah blah blah blah. How many

24:58

cups of flour do I need? Just tell me

25:01

that in the chat GPT or whatever LLM

25:04

you're using. It'll tell it to you right

25:05

away. So just try to replace Google

25:07

search with it for a week and just see

25:08

what kind of benefits you get out of

25:10

that. If that all goes well, you'll

25:12

start to develop a facility with how you

25:14

speak to the AI. This is some degree of

25:17

skill. It's not extremely highskilled,

25:19

but you do talk to it a little bit

25:20

differently and you learn as time goes

25:22

on. But you need at least a base level

25:25

facility with those skills because when

25:27

these things like OpenClaw that can

25:29

actually go out into the internet and

25:32

take actions for you autonomously start

25:34

to become common, which like I said that

25:36

that is weeks away that you will have

25:38

access to an iOS app, a web app that

25:41

lets you speak to an LLM that will take

25:43

actions on your behalf. uh and and I

25:45

mean this is a couple of weeks away. If

25:47

you are like a non-s software person,

25:48

non-coder, you will have that very very

25:50

very soon. And when it comes, you want

25:53

to be in a place where you know what

25:55

these models are capable of, how to tell

25:57

them what to do and how to process and

26:01

second guess some of that information to

26:03

make sure you're getting the most

26:04

accurate takes. Do start that this week.

26:07

Start that this week. This is one of the

26:09

most important skills you can develop

26:11

for your future career. Remember, I've

26:14

deployed AI systems at scale. I've

26:16

overseen 100 plus person departments.

26:18

When I tell you that this is different,

26:21

it's not hype. It's not like some PR nut

26:24

job or finance bro, forgive the vest, is

26:28

telling you this and they don't know

26:29

anything about the internals, how it

26:30

works. They've never really use these

26:32

tools in a meaningful way. I am telling

26:34

you that as of last week with the

26:37

release and the development of OpenClaw,

26:39

it it is different now. It is different.

26:41

This is a real emergency. Before we

26:44

wrap, if you remember a better time on

26:46

the internet, my friend in Michigan is

26:49

making these hats through abandonware.

26:51

The link is down there in the

26:53

description. They don't pay us or

26:55

anything like that. I just I like the

26:57

hats. It's a a dude I know in Michigan.

26:59

Go buy the hats. It reminds me of when

27:01

the computer was a happier, more sane,

27:04

more human time when a Carda 95 was

27:06

around. Make sure you subscribe to the

27:08

channel. Hit the bell to be notified

27:10

when new videos drop. As I mentioned,

27:12

newsletter sign up down there below. Get

27:14

all the facts and figures updated

27:15

quarterly behind this. And I want to

27:17

hear about it. What is your job? And are

27:20

you worried about being replaced? Tell

27:23

us in the comments. Let's get the

27:24

discussion going. Thank you for

27:25

watching.

Interactive Summary

The speaker discusses the AI bubble, maintaining that it has popped due to a circular financing scheme involving AI companies, compute providers like Nvidia, and venture capitalists. Major hyperscalers are announcing massive AI capital expenditures for 2026, reinforcing the idea that the financial bubble is about to catch up. The speaker previously believed AI was only 'fairly useful' and not world-changing, comparing early interactions with tools like ChatGPT to a 'party trick.' However, a recent discovery, particularly the tool 'Open Claw' (formerly Clawbot), has changed this perspective. Open Claw, by acting as an interface layer that enables existing AI models to perform autonomous and recurring tasks, has demonstrated significant utility. The speaker recounts how Open Claw rapidly modified their website for newsletter sign-ups and blog accessibility within minutes, a task that would have taken hours. This capability, the speaker argues, will lead to the replacement of most office jobs within six months, affecting even sales roles by providing a significant competitive advantage through automated research and analysis. The speaker draws parallels to the dot-com bubble, where valuable technology emerged from companies that failed financially. Similarly, while the AI bubble's funding is unsustainable (companies making only 4 cents on the dollar), the underlying technology is valuable and poised to transform the workforce. The speaker emphasizes that no jobs are truly safe, neither white-collar nor blue-collar, as AI can either directly replace workers or indirectly empower competitors. As a practical step, the speaker advises viewers to subscribe to an AI provider, use it to replace Google Search for a week, and develop proficiency in interacting with these tools, as AI agents capable of taking autonomous actions are imminent.

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