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Ex-Google Insider WARNS: "You Only Have 3 Years Left"

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Ex-Google Insider WARNS: "You Only Have 3 Years Left"

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600 segments

0:00

It's funny. I almost swing backwards and

0:02

forwards with my my thoughts on AI.

0:06

I guess one of the thoughts that hasn't

0:07

swung is that there's going to be pretty

0:09

tremendous job disruption. I would have

0:11

like logically believed it from like

0:13

reasoning up from okay intelligence

0:15

increases. What is intelligence? And

0:18

once intelligence um is in the form of

0:20

these agents where on my phone right now

0:21

I can tell my agent to do something. It

0:22

uses the computer downstairs. It does it

0:24

for me. When the when I first

0:25

experienced that I was like wow. Okay.

0:28

So, it can do anything that's on a

0:29

computer. It can click around. It can do

0:30

stuff for me. There's a lot of people

0:32

that are paid in the world to click

0:34

around on a computer. I'm probably one

0:35

of them, to be honest. And then the

0:37

other Eureka moment was just in seeing

0:40

how my own hiring had started to shift

0:43

>> for sure.

0:43

>> And I started to notice that we were we

0:45

were thinking about AI proficiency in

0:47

our hiring a lot more. and that

0:49

especially you know I think the guys at

0:52

um Anthropic which is one of the big AI

0:54

companies said that they could see I

0:57

think they said roughly 15% of entry-

0:59

level jobs could now be done by AI I

1:03

think that's what they said

1:04

>> um and that started to correlate with

1:06

what I was I was observing and this is

1:09

when I thought oh my gosh yes no this is

1:11

this is going to cause a lot of job

1:13

disruption especially at the entry level

1:15

level

1:16

>> I think you're spot on with that not the

1:18

not the blue caller, but but the entry

1:20

level knowledge work.

1:21

>> Yeah. And that became my my first

1:25

concern. You know, I sat here with Dra,

1:27

the CEO of Uber, and he was quite clear

1:29

that the 9 million Uber riders won't

1:32

have their jobs anymore. What's your

1:33

take on this job disruption point? No, I

1:36

I I think you're spot on. I mean, your

1:37

your team gave me this lovely uh little

1:40

uh pyramid, basically. You know, if you

1:42

if you think of the bottom layer as um

1:45

blue collar jobs, right? uh more people

1:48

doing manual work. Uh on top of it,

1:51

you'll have those, you know, call them

1:52

knowledge workers, mostly doing mundane

1:55

jobs, like you said, clicking on a

1:57

computer or responding to a phone call

1:58

or whatever. Then you have the middle uh

2:02

knowledge workers, jobs that require a

2:04

bit more intelligence, you know,

2:06

anything from a parallegal to a

2:09

financial analyst to all of that. And

2:11

then of course you know top leadership

2:14

and and most people think it's going to

2:16

be starting from the bottom. I don't

2:18

think it's all start from the bottom.

2:20

Actually I think blue collar jobs will

2:22

stay for a very long time.

2:23

>> Give me a an example of a blue collar

2:24

job for someone.

2:25

>> I'm a carpenter. Okay. You know I you

2:27

know I love to restore classic cars. So

2:30

you know there isn't a robot that can do

2:31

that yet. Okay. This however you know

2:34

any anything that is um call center

2:37

agent um assistant travel agent you know

2:40

anything that you can do with a few

2:42

clicks and is mundane

2:44

uh is going to disappear very quickly.

2:46

My my prediction is you're going to

2:48

start to see very serious impact in

2:50

2027. Now what you had had not sensed it

2:54

before because what we saw was no hiring

2:58

in that segment. So, so that what you

3:00

saw in the last couple of years is that

3:03

companies were not hiring entry- level

3:05

jobs anymore. It wasn't job losses yet,

3:08

but that basically meant the workforce

3:09

was not growing. Right? The next layer,

3:12

I think, would probably be the knowledge

3:14

workers. As as intelligence increases, a

3:17

parallegal would probably not be needed

3:20

because AI can do the research or one

3:22

parallegal can do the job of four, you

3:24

know, a financial analyst, the same and

3:26

so on and so forth. But interestingly,

3:28

it continues to go up, believe it or

3:30

not. And you know, I hosted uh Max

3:32

Tedmark on my on my documentary and and

3:35

he was laughing out loud, genuinely

3:38

laughing out loud saying, you know, most

3:39

of the CEOs believe that they can fire

3:42

everyone and have AI do all of the jobs.

3:44

They just don't remember that AGI is

3:47

going to do everything better than

3:48

humans eventually, including being a

3:50

CEO.

3:50

>> So, let's first define when you say

3:52

white collar.

3:53

>> You you said lawyers there. What kind of

3:55

roles? I mean every everything I mean if

3:58

you take if you're a doctor that's doing

3:59

diagnosis you you probably will have

4:02

fewer doctors doing uh more diagnosis

4:06

because I think the NHS does that that

4:08

already by asking people to interact

4:10

with an AI first you know if you're a a

4:13

composer a music composer some composers

4:15

will lose their jobs because of that if

4:17

you're an artist that's doing graphic

4:18

design some will lose their jobs because

4:20

AI comes into that and and interestingly

4:23

even middle management I mean I I told

4:25

to offline about my my startup. I my CTO

4:29

is an AI. My you know chief of staff is

4:32

an AI. My project management is AIS.

4:36

Again, because I'm a geek, I can do

4:37

those things. But that interface will

4:40

come to the normal people very soon,

4:41

right? And and so this may take two to

4:45

three 5 years if you want until 2030 if

4:48

you if you if you're optimistic. And but

4:50

but it they'll start to erode. Okay. I

4:53

think the challenge that most people

4:54

don't understand is as this erodess and

4:57

as this erodess, we're already dealing

4:59

with a very different economy. Okay? An

5:02

economy that is spiraling a lot quicker

5:05

uh and pushing for more cost reductions.

5:09

I mean, let let me ask you this if if

5:12

you don't mind, then we can come back to

5:13

this. Imagine a world where the concept

5:17

of labor arbitrage that built all of our

5:19

capitalist success disappears. What do

5:22

you mean by labor arbitrage?

5:24

>> So, capitalism has always been all about

5:26

using labor. Mhm.

5:29

>> And capital or debt to create things at

5:33

a cost that is lower than the than the

5:36

price you sell them for. Correct.

5:37

>> Mhm.

5:38

>> That's it. Uh you bring a team together,

5:40

they make some shoes, whatever, and you

5:42

sell the shoes for a dollar more than it

5:45

how much it costs you to make them. So,

5:48

how would capitalism look like if you

5:51

don't have labor arbitrage? If if cost

5:53

of labor drops to an investment in a

5:57

machine that can do the job. Okay. Uh

6:00

how would capitalism and banking look if

6:05

because of that cost reduction, you

6:07

don't need to borrow as much anymore?

6:09

And more interestingly, how does the GDP

6:12

look if all of those workers no longer

6:15

have the purchasing power to to buy the

6:18

things that you can uh create you and

6:20

and others, right? There is an

6:23

interesting disruption that doesn't

6:25

require us to get to 100% job

6:28

displacement. You know, at 10 20% job

6:30

displacement, you're in a very different

6:33

economy and an an economy that is

6:35

clearly spiraling downwards. Don't you

6:37

think?

6:38

>> Yeah. I I wonder with um when costs

6:40

drop, I think one of the things that

6:42

might happen as well is that people will

6:44

spend more on other things cuz I was

6:47

thinking in my business, one of the

6:48

observations I've had is if I make a a

6:50

cost saving, I end up spending the money

6:52

on something else.

6:53

>> Mhm.

6:53

>> Now that thing could be tokens basically

6:55

spending money on

6:58

Yeah. AI

6:59

>> but but it also could be hiring in

7:00

different areas

7:02

>> which are

7:04

>> software engineers are like hot property

7:06

right now. You you have to imagine all

7:08

of that intelligence is sooner or later

7:12

going to be not replaced entirely in the

7:16

first stages. But if you know the job of

7:20

four assistances can be done by one.

7:22

Then the four the job of four

7:23

parallegals can be done by one. Then the

7:25

job of a massive marketing team can be

7:28

done by you know a smaller marketing

7:30

team. It's not that jobs will end first.

7:33

It's that, you know, productivity gains

7:37

will make businesses not want to to have

7:40

as many people, costly humans, you know,

7:43

costly emotional humans when when the

7:46

job can be predictably done for cheaper.

7:48

>> And then what about this um this this

7:50

bottom layer here? There was this video

7:52

released by Figure AI the other day

7:54

where they showed someone on um well a

7:56

robot on the production line for 8 hours

7:58

just sorting packages. Did you see this

8:00

video?

8:01

>> Mhm. At one point they showed a human

8:04

sorting the packages alongside them, but

8:05

the robot ended up winning out. And

8:07

okay, this is a very straightforward

8:09

task. All it's doing here is it's

8:11

looking for where the label is on the

8:12

package and making sure the label is

8:14

facing downwards.

8:15

>> Yeah.

8:15

>> On all the packages. So it's looking

8:17

it's um sorting the packages, putting

8:18

the label facing down, and it did this

8:21

for 8 days.

8:22

>> Yeah.

8:23

>> It intermittently it would walk over and

8:25

charge itself and then it would come

8:26

back to the production line.

8:28

>> Yeah. But when I when I saw this as

8:30

well, it was a a glimpse of some of the

8:32

disruption that's going to take place at

8:33

the blue collar level as well. Because

8:34

you think about Elon Musk, he's got um

8:36

in his pay packet, he gets something

8:39

like a trillion dollars over the coming

8:41

years if he produces and delivers at

8:44

least a million humanoid robots into the

8:46

world. But his prediction is there will

8:48

be a time where there are 10 billion

8:51

humanoid robots, where there are more

8:53

humanoid robots in the world than

8:55

humans. for a fact. You see, the

8:58

interesting again the difference between

9:00

the overhype and the underhype. Huh?

9:02

Most of the conversation is around

9:03

humanoids. Nobody's talking about

9:05

self-driving cars. And a self-driving

9:08

car is a robot. It's a functional robot

9:11

that doesn't look like humans. Okay? The

9:13

investment you have to put into

9:14

humanoids is a little more to to learn

9:18

skills that allows that machine to fit

9:20

into the world, but specialized robots

9:23

are going to do the job very very

9:24

quickly. And and so you can easily see

9:27

that the first wave like you had the

9:30

conversation with Uber CEO is going to

9:33

be

9:34

specialized robots replacing drivers. Uh

9:37

it's going to be specialized robots um

9:40

unfortunately doing the killing. Uh it's

9:43

going to be specialized robots

9:44

unfortunately doing all of the you know

9:47

intelligence work uh law enforcement

9:51

work. Uh they don't have to look like a

9:53

human. They don't have to behave like a

9:55

human. As a matter of fact, you know,

9:57

the uh Boston Dynamics dog is probably

10:00

more efficient than a humanoid at doing

10:02

the job that you can assign to it in a

10:04

battlefield. Right now, those basically

10:07

mean that jobs will be disappearing to

10:10

robots before we recognize that they're

10:12

being that they're disappearing for to

10:14

robots. And those robots will be as many

10:17

as every car being made today.

10:19

>> I mean, they are if you go to LA, my car

10:20

drives itself, but also there's just

10:22

ways everywhere. So, Absolutely. And BYD

10:25

the other day just announced that they

10:27

will pay for the liability of any

10:28

accident their cars will make.

10:30

>> And BYD is the big Chinese manufacturer

10:32

of auto autonomous vehicles.

10:34

>> So so this this I think replacement

10:36

cycle will happen. It will require a lot

10:39

of uh of time to achieve economies of

10:43

scale. But I don't think Elon Musk is

10:46

off the mark when he talks about 10

10:47

billion robots. Not all of them are

10:49

going to look like humanoids. And I

10:51

think very quickly we will recognize

10:52

that many many robots don't need to be

10:55

humanoids at all. That there is a a much

10:57

more efficient uh form factor or shape

11:00

physical shape if you want than the

11:02

human flimsy structure. But yes, it's uh

11:06

it's about to happen. I I think I should

11:08

qualify all of this by saying it it does

11:10

not necessarily need to happen. So so

11:14

you know people will will hear all all

11:16

of this and and blame AI and say AI is

11:19

evil. AI is not abundant intelligence is

11:22

wonderful. You know, having jobs done by

11:25

machines is amazing for us.

11:27

>> I'm thinking about the kid that's like,

11:28

I know, leaving university now and

11:30

they've got a a degree in law or I don't

11:34

know, you talked about a few other work

11:36

jobs earlier like graphic design or

11:38

maybe they did sociology.

11:40

>> Yeah.

11:41

>> Or maybe they did, I don't know,

11:43

business management like I I did for one

11:45

day in university. You know, you're

11:46

hearing about all these like layoffs

11:48

coming from big tech companies and and

11:50

it seems that the CEOs of these

11:52

companies are announcing these layoffs

11:53

with a certain amount of it seems like I

11:55

wouldn't say the word is joy, but it's

11:57

it's they are very keen to explain that

12:01

they're laying off lots of people

12:02

because of AI.

12:04

>> And I think they think that that gives

12:05

them a certain amount of respect

12:08

probably from investors for being making

12:11

hard decisions and being efficient with

12:13

how they're running their businesses.

12:14

investors look at them and think, well,

12:16

if that's an efficient business and

12:17

they're leaning into AI, then that's a

12:19

good investment. It's almost started a a

12:21

bit of a self-fulfilling prophecy

12:23

>> where if you're the only CEO not laying

12:25

off loads of people because of AI, you

12:27

actually look bad. The assumption is

12:28

your company is bloated and you're a bad

12:30

operator.

12:32

Um, so one of my concerns that I I think

12:35

is highly plausible is that over the

12:36

next five, maybe 10 years, we're going

12:40

to really see a lot of unemployment as

12:42

the world has to kind of readjust to

12:44

whatever these new jobs are. I do think

12:45

there will be new jobs, it's hard in

12:48

foresight to predict what those new jobs

12:50

will look like.

12:52

And then the minute you start talking

12:53

about humanoid robots and robotics,

12:55

which I think is basically going to hit

12:57

society like a comet, like a meteor, I

13:00

think the the first humanoid robot from

13:02

Tesla or anyone else that is highly

13:05

effective in the real world at doing

13:07

tasks and is extremely intelligent

13:09

because it's powered by one of these

13:11

LLMs. Um, I think it's going to shock

13:14

people and I think it's going to happen

13:15

quickly. Like chat happened quickly. I

13:18

think Elon or something is going to do a

13:19

presentation someday and say we're ready

13:22

>> and you can buy one now for $500 a month

13:25

>> 100%.

13:26

>> And then people are going to get them

13:28

and I think it's going to shock the

13:29

world. Um but until humanoid robots

13:31

arrive I think there's still going to be

13:32

a lot of job disruption to the white

13:33

collar layer and I wonder what that

13:35

looks like for society when we get to I

13:37

don't know 10% 15% unemployment

13:39

theoretically which I think is plausible

13:42

>> very soon. Yeah. You're not very

13:44

different. Okay. You're ju you're just

13:46

on top of a baseline that is continuing

13:49

to grow. So your your business is

13:51

growing. So you continue to hire, but

13:53

you are replacing human resources with

13:56

compute. Okay? If you if AI didn't

13:59

exist, you would have probably had a 100

14:01

people more in your organization today,

14:04

right? You you now have 100 people less

14:06

and you know a billion tokens more.

14:09

>> Yeah. So for anyone that doesn't know,

14:10

tokens are basically the thing that you

14:12

you use. It's the currency of AI. Yeah.

14:15

So, so if you if you want to get a task

14:17

done by a human, you you count in sort

14:20

of like manh hour or or worker hour,

14:23

employee hour. In AI, you count by

14:25

compute, you count by tokens, right? And

14:27

and so the trick is those major tech

14:32

companies, they have two sides. One is

14:35

they are they need to replace workers

14:37

with compute even more because there is

14:40

a competitive side on compute where if

14:42

any of them is left behind that means

14:44

the destruction of the entire business.

14:46

But on the upside they are geeks. So

14:50

they they know how to build the

14:51

interfaces to compute. So they integrate

14:54

technology within their organizations

14:56

quicker than the average traditional

14:58

business. Right? Non non-technology

15:01

business. If you want, you can look at

15:04

them and say this is the preview. It's

15:06

not about all of humanity losing their

15:08

jobs. It's about what is the dividing

15:10

line before civil war, right? You know,

15:13

think about a situation where 20%

15:16

unemployment is happening when economies

15:19

are suffering inflation.

15:22

I say that not to be a scare-monger. I

15:24

say that because I genuinely believe

15:26

governments need to wake up. Okay?

15:28

Government needs to at least you know

15:30

remember the COVID years where

15:32

governments had to give furlow

15:33

everywhere and ask people to stay home.

15:36

If people stay home governments have to

15:39

be prepared to to somehow sustain those

15:41

people until rescaling happens or until

15:44

we find a solution so that those people

15:47

don't feel uh that they're left behind.

15:51

>> A civil war.

15:53

>> Unrest, let's call it

15:54

>> civil unrest.

15:55

>> Yeah.

15:55

>> What does that end up looking like? Cuz

15:57

on one end, you know, the democ

15:59

democratic process plays its role and we

16:01

just elect someone else.

16:03

>> Does it really? Don't say that.

16:05

>> I don't know. You tell me.

16:07

>> Oh, no, no, no, no, no. I I I think

16:09

democracy has ended a long time ago,

16:11

Stephen. I think uh I think we live in

16:14

the most corrupt time. Uh I don't know

16:16

about history to be honest, but this is

16:19

definitely corrupt. Okay. Uh this

16:22

definitely is not democracy. This

16:23

definitely is not even congressional in

16:25

any possible way. this and people are

16:27

angry, you know, people are angry

16:30

because their tax money is going to

16:33

things that they don't choose to uh you

16:36

know that don't benefit them that you

16:38

know lots of regulations in the system

16:42

are being ignored. I mean, I I'm, you

16:45

know, I I I choose not to speak about

16:47

politics perhaps until my next book

16:49

comes out, but uh but look, we have

16:53

video evidence of people abusing

16:56

children and not a single person got

16:59

arrested. Not a single person. I mean,

17:02

how can you call that a democracy? I I I

17:04

think repeating those slogans is going

17:06

to is going to anger people even more if

17:09

you ask me. People know that they're

17:11

being lied to. people know that their

17:13

their leaders are not representing their

17:16

best interest. People know that their

17:17

money is going to causes that they don't

17:20

really approve of. Uh and and ask me how

17:23

civil unrest looks like. I I don't know

17:27

and I'm not calling for it, but I'm

17:29

hopefully calling for the politicians to

17:31

start to become aware that this is

17:33

crossing the lines everywhere. Uh on

17:36

this point, Sam Alman, who is the

17:38

founder of OpenAI, he's been banging the

17:41

AI is coming for your job drum for more

17:43

than a decade now. In 2015, he pointed

17:46

out, "My job is to help people destroy

17:49

jobs."

17:50

Um something he lamented at the time,

17:53

but decided he'd do anyway.

17:54

>> One of the things that I struggle with

17:56

like getting out of the bed every

17:57

morning is that like my job is to help

17:59

people destroy jobs. the job destruction

18:01

that we're going to see by software in

18:04

the next couple of decades. I don't

18:05

think anyone's prepared for and you

18:07

can't talk about it.

18:08

>> And in 20123, Alman said in an

18:10

interview, "A lot of people working on

18:12

AI pretend that it's only going to be

18:14

good. It's only going to be a

18:16

supplement. No one is ever going to be

18:18

replaced. Jobs are definitely going to

18:22

go away. Full stop." Interestingly, this

18:25

month he said, "I don't think we're

18:28

going to have the kind of jobs

18:30

apocalypse that some of the companies in

18:32

our space advocate or talk about." I'm

18:35

delighted to be wrong about this. On

18:36

white collar jobs in 2021 to through

18:39

2024, he said, "AI will probably replace

18:41

most of the jobs people do today. Entire

18:44

job categories will be totally totally

18:46

gone." in May this month, two years

18:48

later, he said, "I thought there would

18:50

be more impact on entry-level white

18:52

collar jobs being eliminated by now than

18:55

has actually happened. This is an area

18:57

where my intuitions were just off. What

19:00

I find uncomfortable is the bouncing

19:02

backwards and forwards and I don't

19:03

really know what is true because a

19:05

couple years ago you were telling us all

19:06

the jobs are going to go away." You said

19:08

categorically.

19:09

>> Um, you said literally said full stop

19:12

and now he's saying they're not going

19:13

away. And I just don't, you know, when

19:16

someone's like changing form factor,

19:18

it's hard to understand why they're

19:20

doing it. And I think my suspicion is

19:24

back then the incentive was to get

19:27

people to take AI seriously.

19:29

>> Mhm.

19:31

>> Congratulations. We took it seriously.

19:33

We took it so seriously, in fact, that

19:35

it's now a problem. It's a problem for

19:37

these companies because people are now

19:38

booing at commencement speeches. They're

19:40

attacking data centers. they're going to

19:42

elect people that are theoretically

19:44

anti-AI and now there's this inversion

19:46

where like no it's going to be fine.

19:48

>> Yeah.

19:49

>> I don't know.

19:50

>> I mean you you you're spot on. Uh f

19:53

first of all I mean Sam's entire

19:56

existence if you ask me starting with

19:59

open AI that is about that's supposed to

20:02

save the world uh uh by creating a safe

20:05

AI then be making it a commercial

20:08

enterprise that's worth billions and you

20:10

know backstabbing a few people in the

20:13

process and you know I I have him on on

20:15

Chasing Utopia uh saying clear I quote

20:19

this is exactly the words he said you

20:21

can find it online.

20:22

>> Chasing Utopia is your documentary.

20:24

>> Yes. So, so, so he he basically uh says,

20:27

"Well, I don't suspect that I I suspect

20:30

that AI is likely going to end humanity,

20:33

but we're going to create a lot of

20:35

interesting companies in the process,

20:37

right? I mean, those kinds of statements

20:40

uh are honestly not the statements of

20:43

someone who's not decided. It's just the

20:45

statements of someone who's being taught

20:48

more and more by his PR a you know

20:50

agency or PR manager to say things as

20:53

per a script right and the script as you

20:56

rightly said had an objective and a

20:59

target either way you know and Sam Alman

21:02

I you know in one of my works I used to

21:05

say the Altman is a brand it's not a

21:07

name okay if you if you if it wasn't for

21:10

Sam Altman specifically there would have

21:11

been another you know Silicon Valley

21:13

disruptor that would have done the same.

21:15

I don't blame him for beating the market

21:17

for it. The the interesting challenge

21:19

here is that who do we believe anymore?

21:22

Who do we believe in technology? Who do

21:25

we believe in politics? Who do we

21:28

believe in the middle of a war? And I

21:30

will tell you interestingly, I started

21:32

to change my mindset in terms of

21:34

believing those who put their actions

21:35

where their words are. So, Anthropic

21:37

coming out and saying, "I'm not going to

21:39

allow my model to be used for human

21:42

targeting and surveillance, right?

21:44

That's someone that's losing a $500

21:46

million deal because they stand by their

21:48

ethics." The next week or the next, I

21:50

don't know, couple of weeks, OpenAI

21:52

takes the contract. That's someone

21:54

that's basically telling you it's good

21:56

money, right? And and I I have to say,

21:59

you have to start observing who's

22:01

actually behaving in a way uh that is

22:04

making AI work for humanity. and who is

22:07

behaving in a way that is making AI work

22:10

for their share values.

22:11

>> If you love the driver CEO brand and you

22:13

watch this channel, please do me a huge

22:15

favor. Become part of the 15% of the

22:18

viewers on this channel that have hit

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the subscribe button. It helps us

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tremendously and the bigger the channel

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gets, the bigger the guests.

Interactive Summary

This discussion explores the profound impact of artificial intelligence on the labor market, focusing on the disruption of both white-collar knowledge work and eventually blue-collar roles. The conversation addresses how companies are increasingly replacing human resources with AI compute, the potential for economic instability, and the shifting narratives from AI industry leaders regarding the scale of job displacement.

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