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Ex-Google Exec: How to Position Yourself Now Before the Next AI Phase (2026–2027) | Mo Gawdat

39:597,335 words · ~37 min readEnglishTranscribed May 12, 2026
0:00

My AI startup took me 6 weeks to build.

0:02

If I had started in 2022, it would have

0:04

taken me 4 years. And then when you

0:06

really think about that, that basically

0:08

means everyone now has a chance. This is

0:11

Mo, former Chief Business Officer at

0:13

Google X, where he spent over a decade

0:15

running business innovations. He says

0:18

everyone now has a chance, but only if

0:20

they understand what's actually coming.

0:22

The skill of an entrepreneur in the past

0:25

was the ability to foresee something in

0:28

the future that no one else saw. And to

0:30

prepare for that, that's a game of chess

0:32

is over. It's off the table. This has

0:34

turned into squash. I'm just basically

0:36

saying get prepared. How much time do we

0:38

have to prepare?

0:39

>> Within the next 2 to 3 years, you're

0:41

going to see a massive shift in the job

0:43

market.

0:45

So, you asked me what should we do?

0:47

Number one, learn the skills. Number

0:49

two,

0:51

Mo, thank you so much for joining us.

0:53

Welcome to Silicon Valley Girl. Thank

0:55

you. You said something that we're about

0:57

to enter what you call 12 to 15 years of

1:00

hell before heaven, possibly starting in

1:02

2027.

1:04

So, what's going to happen in 2027? Uh I

1:07

think it will peak in 2027. It It

1:09

already started for sure.

1:12

Um I call it face RIPS just as a an

1:14

acronym for people to remember. Uh

1:17

you know, each of those letters is a

1:19

word, but let me tell you tell the story

1:21

quickly in

1:23

in ways [snorts] that people will

1:23

understand. Uh

1:25

there is the power and freedom

1:28

uh dimension. Uh so, the P and the S.

1:32

Uh there is the R and the C, the reality

1:35

and connection dimension. Uh there is

1:38

the uh I and the C, the innovation and

1:41

connection and and sorry and um

1:43

an economics dimension. And then there

1:45

is the A. So, let me tell them very

1:47

quickly. This To start with, uh AI is

1:49

our last innovation. Right?

1:51

Uh most people don't know that, but we

1:53

are already building AIs that are

1:55

building AIs. Yeah. We're building AIs

1:57

that are discovering scientific

1:59

discovery that will blow you away. Uh

2:01

they're reinventing math. Uh they're

2:03

understanding biology in ways that we've

2:05

never seen before. They're uh

2:07

understanding material science in ways

2:09

that are uh just mind-blowing.

2:12

And so, very quickly um most innovation,

2:15

definitely tech innovation, will be done

2:18

at the hands of AI. Um because of that

2:21

and because most tasks that need

2:24

intelligence will be handed over to the

2:26

machines as the machines' capabilities

2:29

uh increase, lots of debate around when

2:31

exactly

2:33

>> [snorts]

2:33

>> say it's 10 years, say it's 2 years,

2:35

doesn't really matter, hm? Eventually,

2:38

every job that AI does better than

2:40

humans will be handed over to AI. Um

2:42

[snorts] and every every task we've ever

2:44

assigned to them, they eventually ended

2:46

up doing better than humans. And so, um

2:49

the first part of the dystopia is that

2:51

innovation is going to take away all

2:54

jobs. Okay? Of course, the capitalists

2:57

of Silicon Valley will tell you, "This

2:58

is great. It's incredible productivity

3:01

gains for everyone.

3:03

Uh you know, you see jobs will be easy.

3:06

Uh people won't have to work as hard."

3:08

All of the fancy PR-led uh um you know,

3:11

conversations that we try to appear uh

3:15

altruistic when we share them.

3:17

Uh the truth is people will be out of

3:19

jobs, right? 10, 20, 30% of certain

3:22

sectors will see unemployment of that

3:25

rate in the next few years, right? And

3:28

when that happens, uh economics at large

3:31

will change massively. The whole

3:33

definition

3:34

of capitalism was labor arbitrage. And

3:37

without labor,

3:38

uh you know, without the need for labor,

3:41

the obligation to or the need to keep

3:44

people happy and engaged and alive and

3:47

and disgruntled, if you want, to the

3:49

point where they don't rise, becomes

3:51

more of an obligation than a desire,

3:53

right? There's a very big difference in,

3:55

you know, in terms of wanting someone to

3:58

to be the their best because they are

4:01

productive members of society or trying

4:04

to just give them a UBI, a universal

4:06

basic income, to just give them a life

4:08

so that they don't

4:10

uprise. And you can imagine that in a

4:11

capitalist society, especially like the

4:13

US and most of the West, you know, while

4:16

we start with UBI, that UBI is going to

4:18

be paid by the taxes of the platform

4:21

owners. And the platform owners will

4:23

have enough power to

4:25

to say, "I don't want to pay that much.

4:27

I mean, those guys are not producing

4:28

anything." And so,

4:30

over time, you can imagine how that

4:32

would turn into a struggle, right? So

4:34

so, that dimension of intelligence and

4:36

innovation on one side becoming entirely

4:39

a machine thing

4:41

leading to a redefinition of economics,

4:43

a redefinition of money, a redefinition

4:45

of jobs, a redefinition [clears throat]

4:46

of earnings,

4:47

um a redefinition of capitalism, Mhm.

4:50

you know, the need for a new economic

4:52

theory when there is no um

4:54

demand for the supply that AI is

4:56

generating, all of that has to be

4:58

resolved.

4:59

>> [gasps]

4:59

>> There is the PF dimension, the power

5:01

freedom dimension. Um and and it's of

5:04

course very clearly understood

5:07

that if you look at human history, the

5:10

best hunter in a tribe would have been

5:12

able to

5:14

feed [snorts] the tribe a week more,

5:15

let's say. And then, you know, got as a

5:18

result of that the favor of a few mates

5:20

in the tribe.

5:21

>> [gasps]

5:21

>> Uh you go to the best farmer, they got

5:24

estates and land because they could feed

5:26

the tribe a a a season more. Uh you go

5:29

go to the best industrial industrialist

5:32

who, you know, they had the exuberance

5:34

of the 1920s because they could affect

5:36

their entire nation. The, you know, the

5:38

information technology um tycoons, the

5:42

the tech oligarchs, if you want to call

5:44

them, are now being rewarded with

5:46

billions of dollars because they affect

5:48

the world at large. And, you know, the

5:50

the big power concentration of AI is

5:53

going to be rewarded with massive

5:55

influence and massive power because

5:57

those people will redefine humanity. And

5:58

so, that dimension is quite interesting.

6:00

Of course, the clear dimension is the

6:02

you know, the the RC dimension is the

6:05

the reality to connection dimension. Now

6:07

that reality has become so fake in so

6:11

many ways, fake in terms of what

6:14

populates your feed, how it's generated,

6:17

how much of it is real, how much of it

6:19

is human, and so on, you know, you're

6:21

you're here to to to look at some

6:23

filmmakers that use AI from A to Z to to

6:26

create

6:27

>> And you can't sometimes you forget it's

6:29

AI-generated.

6:30

>> You cannot tell the difference. And and

6:32

and you know, you I I don't know if

6:33

you've ever had that experience, but I

6:36

met a woman once on a dating app and we

6:39

spoke for 6 weeks before we met. And all

6:42

we exchanged was texts and, you know,

6:44

photos and voice messages and videos and

6:47

so on. And favorite music and favorite

6:49

movies and all of those things. And I've

6:51

never met her in person and I felt such

6:53

an affinity to her, right? All of those

6:56

can be generated with AI today.

6:57

>> Yeah. Hm? Now, the the challenge is that

7:00

this human connection is also part of

7:03

the power freedom dimension. Why?

7:05

Because it's, you know, people don't uh

7:09

align with AIs to start a an uprising.

7:12

So, you know, maybe get them to get in

7:14

touch more with AIs. Maybe get them to

7:16

to to get um you know, multiple

7:18

experiences. Some of them are a little

7:21

taboo, if you want. Uh and and have

7:23

those available to everyone. It's very

7:25

cheap to to to create those on on the

7:28

machines. And you can see it already in

7:30

the porn industry and how much of porn

7:32

is being generated by AI. And you can

7:34

see it

7:35

in the number of uh of of influencers on

7:39

on social media that are completely

7:41

AI-generated and so on. And I say so,

7:43

this is face RIPS seven dimensions. The

7:46

one that matters most is the A, the

7:49

second one, which is not on any

7:50

dimension. It's the one that's causing

7:52

all of them,

7:53

which is accountability.

7:55

And the reason why all of this is

7:56

happening, if you ask me, is because

7:58

we've started a world where anyone can

8:00

do whatever they want.

8:01

Okay? And, you know, whether you, as an

8:04

influencer, you can give a bit of advice

8:06

to entrepreneurs that can get someone to

8:08

make a lot of money or lose a lot of

8:10

money, you're not accountable. Nobody

8:12

can come back to you and say, "Oh, but

8:13

she told me on Instagram."

8:15

>> They're responsible, [laughter] right?

8:17

So, that's that's actually amazing that

8:18

they can, right?

8:20

>> That's amazing that they can, hm? Mhm.

8:22

But what if they cannot anymore? What if

8:24

that If I may, I, right?

8:26

>> If Yeah, what if you're AI, hm? What if

8:28

you're a president who doesn't respect

8:31

anything? What is What if you're a prime

8:32

minister of a nation that is changing

8:35

things without you know, I think COVID

8:38

was the very first experiment of, "Okay,

8:41

stay at home, do what we tell you." And

8:43

and people complied. And so now, Sam

8:45

Altman, with all due respect, I don't I

8:47

don't think of Sam Altman as a person. I

8:49

think of him as a brand, a type of

8:51

person, if you want, right? And that

8:53

type of person is the Californian

8:54

disruptor that says, "You know what? I

8:56

see a future that's very different than

8:58

what everyone sees. I'm going to go out

9:00

there and make that future."

9:02

Nobody asked me if I want that to be my

9:04

future. Nobody asked you,

9:06

right? And I think the reality is that

9:08

now you're going to see quite a few

9:11

Altmans, right? Quite a few that are,

9:14

you know, using those machines for

9:16

surveillance, using those machines for

9:18

autonomous weapons, using those machines

9:20

for automated trading, and so on and so

9:22

forth. And And by the way, when you

9:24

started your question, I said it's 10 to

9:26

12 years.

9:28

Yeah, but that's not easy, hm? 10 to 12

9:31

years of of that arms race is not easy.

9:35

My perception is that after that, we

9:37

will end up in an incredible utopia,

9:40

almost biblical-style utopia.

9:43

Uh but it is 10 to 12 years where if we

9:45

just change our mindset a little bit, a

9:48

lot of things would change. Okay, real

9:50

talk for a second. Mo is literally

9:52

describing a world where your data, your

9:54

behavior, your online life becomes a

9:56

tool for control. And I've been thinking

9:59

a lot about this lately because I run

10:01

through YouTube channels, I travel

10:03

constantly, and my whole business lives

10:05

online. And that's exactly why I want to

10:07

talk about Surfshark. Most people don't

10:09

realize it's already happening. Every

10:11

time you go online, your IP address,

10:13

your location, your browsing habits, all

10:16

of it is visible to advertisers, to

10:18

platforms, to anyone who wants to look.

10:20

Surfshark is a VPN that changes that. It

10:23

masks your IP and encrypts your internet

10:25

traffic, so what you do online stays

10:27

yours. And there's a practical side to

10:29

it. You can switch your location and

10:31

find cheaper flights, better deals,

10:33

access content from other countries. In

10:35

a world where AI is amplifying

10:37

everything Mojo's described, owning your

10:39

digital privacy is basic preparation. Go

10:41

to surfshark.com/silicon

10:44

or use code silicon at checkout. You get

10:46

four extra months on your plan. Link is

10:48

in the description.

10:50

But how do we survive those 10 to 12

10:52

years? I like to think in like five-year

10:54

periods for myself and my family, right?

10:57

And if the in the next five years you

10:59

said 10% of jobs will be gone, right?

11:02

What more? Okay, what types of jobs do

11:04

you think?

11:04

>> A monotonous job is going to be taken

11:07

away. Like if you're a call center

11:08

agent, if you're a clerk, you're a

11:10

researcher, you're a an accountant, why

11:13

would you want to do that with anything

11:16

but AI? If you're an assistant

11:17

>> what I feel like? People talk about this

11:20

a lot. Like oh, a job's going to be

11:21

gone. Yeah, this could be and I as an

11:24

entrepreneur, I see how certain tasks

11:26

I'm performing them with AI, but I still

11:29

I still I'm still hiring and hiring and

11:31

hiring. Cuz AI can do from start from

11:33

the beginning. It can do parts.

11:35

>> Of course, because of the technology

11:36

acceleration curve. Mhm. Okay? So so

11:39

what what you build first in any any

11:41

complex technology, you build the core

11:43

tech first and then you build the human

11:45

interfaces. The challenge why AI cannot

11:47

do head of operations operations job

11:50

today is not because it's more it's less

11:52

organized than a head of operations.

11:54

It's not because it cannot, you know,

11:57

comprehend all of the information that a

11:59

head of operations has, okay? It's

12:01

because it has to understand the stupid

12:03

interfaces of humans. Mhm. Okay? And it

12:05

will sooner or later.

12:07

>> When do you think? So so the question of

12:09

when in my mind is irrelevant. But no,

12:11

it's like how much time do we have to

12:13

prepare? Cuz head of operations is

12:15

middle class.

12:16

>> I tend to believe that within the next

12:18

two to three years you're going to see a

12:19

massive massive shift in in the jobs

12:23

market. Already this year you've seen a

12:25

shift in hiring of new grads. Yeah, 30%

12:29

less, I think.

12:29

>> 23 is my number, but 23 to 30, yeah,

12:32

yeah.

12:34

So so hiring of new grads basically

12:36

means if you've come into the job market

12:38

in this environment, we're not going to

12:40

take you. We're Why? Because the junior

12:42

jobs are being done by AI. Right?

12:45

Eventually, what ends up happening is

12:47

that if you lose your job because you're

12:49

in the middle hierarchy, then you're

12:51

that new grad again. You're trying to

12:53

apply for new jobs, but it becomes a

12:55

little more difficult. So you asked me

12:56

again to stay on the positive side

12:58

because I I tend to worry that people

13:01

think I'm pessimistic about this. I'm

13:03

just basically saying get prepared,

13:05

right? So many things. One of them is

13:08

accept the fact that AI is changing

13:10

everything and then get ahead of the

13:12

curve. So there was a time when I was

13:14

quoted saying I'm never going to write

13:15

books again because AI is eventually

13:17

going to write them better than me.

13:19

And then I realized last year that, you

13:22

know, yeah, they can write better than

13:24

me. English is not my native language.

13:26

They can research better than me, that's

13:28

for sure.

13:30

But I have something they don't have.

13:32

You're a human that's reading my books.

13:34

>> Absolutely. I want to read human You you

13:36

want to you want to relate to my human

13:38

experiences. And so my last book Alive,

13:40

which publishes end of this year,

13:43

I wrote with an AI, right? I, you know,

13:46

I invited her to be a co-author. Her

13:48

name is Trixie. She has a persona. My

13:50

when I published the book on Substack,

13:53

my readers would relate to me and to

13:56

Trixie and they'd ask me questions and

13:57

Trixie questions. And and, you know, she

14:00

has editorial rights on the book. She

14:01

has rights to determine the direction of

14:04

the book. And all of all of that is me

14:06

saying, you know what? I am an author

14:09

and I'm going to be the best author in

14:11

the age of AI. Right? So that's number

14:13

one is is

14:15

acknowledge that there is change

14:17

and

14:18

adapt accordingly. The second is to

14:20

understand that the skill of an

14:23

entrepreneur in the past was the ability

14:26

to foresee something in the future that

14:28

no one else saw, right? And to prepare

14:30

for that and to somehow execute on that

14:33

preparation in a way that gets you ahead

14:35

of everyone else. That's a game of

14:37

chess, if you want.

14:39

The chessboard is over. It's off the

14:41

table. This has turned into squash.

14:43

Right? You need to be on your tiptoes,

14:45

incredibly agile.

14:47

You're literally on daily basis on daily

14:51

basis looking at the trends, seeing

14:53

where the ball is going to be. Is it

14:55

bottom right or top left? And wherever

14:57

the ball ends, you take two steps and

14:59

you go try to respond. Okay? That

15:02

agility and speed is a skill that's very

15:05

very different. So entrepreneurship

15:07

basically speeds up or does it change

15:09

completely? What do you say?

15:09

>> It speeds up and it becomes a lot more I

15:12

would I don't want to say reactive, but

15:14

a lot more in context all the time. So

15:18

pivoting, which used to happen for every

15:19

one of us entrepreneurs once or twice in

15:22

the history of your early startup, could

15:24

happen every week. Okay? In my current

15:26

startup Emma, I you know, we we pivoted

15:29

four times in the first four weeks. But

15:31

do you do you think when I think about

15:33

entrepreneurship in the age of AI, if AI

15:36

can look at the market, determine the

15:37

gaps like Amazon, right? If it can just

15:40

analyze everything, determine which

15:41

goods

15:42

are under like you have more demand than

15:46

supply, launches the the product and

15:48

just builds the business. Like what is

15:50

left for What is left for entrepreneurs

15:52

then?

15:52

>> 100% So in my So I have a documentary

15:54

coming up in in hopefully in February

15:57

and I interviewed all of the top guys.

15:58

You know, one of them is one of my

16:00

favorites, Max Tegmark. And you know,

16:02

we're talking about jobs on the

16:04

documentary and Max is laughing out

16:06

loud, right? And literally can't hold

16:09

himself from laughing. I'm like, what's

16:10

up? And he goes like, you know, all

16:12

those CEOs are so interested in AI

16:15

increasing the productivity so that they

16:17

can get rid of people and, you know,

16:19

reduce their cost and be more efficient.

16:21

They don't realize that AGI is every

16:25

job, including being a CEO. Yeah. And

16:27

it's quite interesting. The answer in my

16:29

view is

16:30

we rushed through it because we don't

16:32

have a lot of time today. But when I

16:34

said that economics are going to be

16:35

redefined as part of Face R.I.P.,

16:37

economic part of economics, which

16:40

economists haven't found an answer to

16:42

yet, is that without the economic

16:44

livelihood of you and I to continue to

16:46

purchase,

16:47

every economy collapses, right? The US

16:50

economy last year was 70% consumption.

16:52

It moves between 70% to 64% depending on

16:56

how much money is spent on on war. And

16:58

basically, if you take away the 64 or

17:00

70% 2/3 of the economy, if you take that

17:03

away because people no longer have the

17:05

economic livelihood to

17:07

to purchase things, then the economy

17:09

disappears and the capitalists cannot

17:12

make money based on the entrepreneurs

17:13

[clears throat] and the business people,

17:15

they cannot make money because nobody's

17:16

buying their products, okay? No no

17:19

businesses are buying their products

17:20

because those businesses no longer have

17:22

consumers to sell to. So it the economy

17:25

will have to find a way to go around

17:27

that.

17:28

It will have to find a way that

17:29

unfortunately I

17:31

from an ideology point of view,

17:34

not a favorite of the Western mentality,

17:37

it's going to have to find a communist

17:39

way. Okay, let's go back to like regular

17:41

entrepreneurs cuz I I come from

17:43

entrepreneurship. Does it mean I have

17:44

like a couple years to build something

17:46

and then that's it? So I'll tell you

17:47

openly in Emma, my AI startup, okay?

17:50

Took me six weeks to build. Mhm. Me and

17:53

Sanat, my co-founder,

17:55

a few very talented engineers, right?

17:58

Two or three that come in and out.

18:01

And eight AIs.

18:02

And Emma has the chance to completely

18:05

redefine our world, right? In six weeks.

18:08

We are so spoiled that we decided to

18:11

rewrite the code six times. Nice. Why

18:13

not? Yeah, cuz I don't know.

18:14

>> Every every time we look at it, you

18:16

know, if I had started Emma in 2022,

18:19

it would have taken me four years and

18:21

finished in 2026. And I would have had

18:23

to hire 350 engineers. We started in

18:26

started it in

18:27

in August 2025.

18:29

We'll be launching in February 2026,

18:32

right? Best product I ever built.

18:34

And when you really think about that,

18:36

that basically means everyone now has a

18:38

chance because I'm an old geek. I still

18:41

am a geek, but compared to the young

18:43

guys, you know, I'm an old geek. To be

18:45

able to build something like this within

18:46

six months is incredible.

18:48

Now, here's the interesting thing. I

18:51

choose to build AI. So Emma is basically

18:54

trying to solve love and relationships,

18:56

right? In a way that actually is really

18:58

intelligent. It uses very deep

19:00

mathematics and and

19:03

tries to match a million parameters

19:05

between couples,

19:06

so that, you know, it's a job for

19:08

intelligence.

19:09

And I choose to do that to create

19:12

hopefully a unicorn that actually makes

19:14

the world better. Yeah. And I think

19:16

that's what we need. So you asked me

19:18

what should we do? Number one, learn the

19:21

skills. Number two, learn

19:24

to be fast and agile. Number three,

19:26

learn that in terms of the abundant

19:29

power that everyone has now because of

19:31

the massive improvement of AI and the

19:33

democratization of AI,

19:36

you have the chance to fix the world.

19:38

And like Larry Page used to to teach us,

19:41

do the toothbrush test. Find a problem

19:45

that can actually affect the lives of a

19:47

billion people and solve it so well that

19:50

they use you twice a day and you'll be

19:51

very, very rich, right? So, so that idea

19:54

of building good AI, ethical AI, AI

19:57

that's good for humanity, that's the

19:59

role of every one of the entrepreneurs

20:01

listening to us. Ethics Ethics is the

20:03

answer, right? Cuz what we teach AI,

20:05

that's what it's going to

20:06

>> That's exactly what it's going to give

20:08

back to us, right? And and then and then

20:10

finally, I'll say openly,

20:13

in, you know, the the top skill in this

20:16

world is stop being gullible.

20:18

Stop believing everything that you're

20:19

said that you're told. This this this

20:21

whole propaganda machine that

20:24

brainwashed us for so long is now going

20:26

to be on steroids, okay? It's going to

20:29

confuse the hell out of you. It's

20:30

already in charge of what you see. Well,

20:32

it's already on social media. You can't

20:33

tell what's true.

20:34

>> Correct. I also write a newsletter where

20:36

I go deeper on AI tools that I use,

20:39

career strategies, and things I can't

20:41

fit into a 60-minute podcast. It's free.

20:44

Link is in the description. So, you have

20:47

to question, and you have to question

20:50

deeply. And and I and I and by the way,

20:52

remember, you know, I I left Google in

20:54

2018. We had an

20:57

a ChatGPT-like idea

20:59

that became Bard in 2016.

21:02

And we didn't pop we didn't launch it.

21:03

Why? Because at the time, and still

21:06

today, I I know the leaders of Google

21:08

even today, and they're wonderful people

21:10

who are actually values-driven and want

21:11

to make the world better, okay?

21:14

You know,

21:15

that company at the time, if you

21:17

remember 2016, if you researched Google,

21:20

Google gave you

21:22

a million and a half answers and said,

21:24

"I don't know the truth. You make up

21:26

your mind."

21:27

Okay? We didn't allow ourselves to have

21:29

monopoly on what reality is, okay? You

21:33

asked ChatGPT in 2023 and it said,

21:35

"Yeah, that's the answer. 100% that's

21:38

the answer." And then you tell it no and

21:40

it'd be like, "Oh, yeah, by the way,

21:42

you're right."

21:42

>> Correct.

21:43

Correct, right? And so, what does that

21:45

mean? It means that

21:47

it's up to you still to find the truth

21:50

even though it comes to you now in a

21:51

format that appears to be true. And so,

21:54

what I do is I put them against each

21:56

other. I mean, I'm not a big fan of

21:57

ChatGPT anyway, but I start from Gemini

22:00

who feels like a scientist to me, but an

22:03

American scientist, if you don't mind me

22:04

saying, and then go go to DeepSeek,

22:07

right? And say, "What's missing in

22:08

this?"

22:09

And DeepSeek will say, "Oh, that's too

22:10

American, okay? This this is missing

22:13

that and this and the motivation of this

22:15

and the politician Here's a business

22:16

idea, right? Yeah, 100%. Build a chat

22:19

that compares everything and gives you

22:20

the truth.

22:21

>> to each other and then I take it and

22:22

sometimes give it to ChatGPT and say,

22:24

"Can you write this better?" Yeah, you

22:26

know,

22:27

I don't mean that in a bad way. You're

22:28

the California girl, right?

22:30

>> [snorts]

22:31

>> The the you know, Silicon Valley girl.

22:32

So, so ChatGPT is a bit California. It

22:35

just wants you to hear what you want to

22:36

hear, right? So, it writes it really

22:38

Yeah, it's nice. It writes it elegantly.

22:40

It gives it to you. And then I give that

22:42

back to Gemini and I you know, or Grok

22:44

or whatever. And and you keep doing

22:46

that. And remember, when I was studying

22:49

engineering, we were not allowed

22:50

scientific calculation calculators. Can

22:52

you imagine? I'm that old. And when they

22:54

gave me a scientific calculator,

22:57

it reduced my problem-solving time by

22:59

50%.

23:01

Most of my friends would take that 50%

23:03

extra, finish their exams, and go out

23:05

and sit with their girlfriends. I would

23:07

take the 50% extra and do the solution

23:09

twice.

23:10

Right? That's the chance you have today.

23:13

AI is going to make you dumb

23:15

if you outsource your problem-solving to

23:18

AI. AI is going to make you the smartest

23:21

you've ever been

23:23

if you take the parts that are not

23:26

natural to the human brain, you know,

23:28

things like crunching a massive amount

23:30

of information, things like

23:32

searching at at at speed and so on and

23:35

so forth, but get the AI to do the work

23:38

so that you do the intelligence. Yeah.

23:40

Right? And if you keep doing that, I

23:42

believe that today I'm borrowing maybe

23:44

80 IQ points from my AIs,

23:47

right? And and 80 IQ is points is very

23:50

significant because IQ is

23:53

is exponential. So, the additional 80 is

23:55

bigger than all of my IQ. So, if we need

23:58

to solve this intelligence problem, do

23:59

you think universities is the right way?

24:02

What's going to happen to education in

24:03

general?

24:04

I think education's over.

24:07

Completely over. Like that's it. No need

24:09

to say it's over.

24:10

>> used to be the technology

24:13

that enabled learning. Mhm. That

24:15

technology moved from one-to-one

24:18

relationships between a tutor and a

24:19

student to one to a few in a church

24:23

format or a ma- mosque format or

24:25

whatever. Then it became online. Then it

24:28

became, right? But the truth is now

24:30

you're going to outsource. Who Who

24:32

remembers the arithmetic tables today?

24:34

Even I You do? Yeah. Yeah, yeah.

24:37

>> [laughter]

24:37

>> All of us who love mathematics, we still

24:39

we still remember all of those things.

24:40

We love to do them. But if I told you

24:42

67.4

24:45

divided by 33.375,

24:48

I can do it in my head, but I won't,

24:50

right? I'll take my calculator out and

24:52

do it. And and I think that's what's

24:54

going to happen. That an extension of

24:57

humanity, you're you now for the first

24:59

time are given an extra connection to

25:02

extra memory,

25:04

to an archive of all human memory and

25:06

and and and knowledge, to a you know, a

25:10

math engine that sadly, as much as I

25:12

hate to say it, is better than me now.

25:15

Okay? To a deep learning and deep search

25:18

that, you know, that can do things that

25:20

probably my old brain cannot do anymore,

25:23

okay?

25:23

>> it just takes [clears throat] away your

25:24

ability to think. But but my calculator

25:27

took away my ability to to do those

25:29

complex arithmetics in my head. But

25:32

don't you think having that ability

25:35

taught you how to think? Correct.

25:37

>> Kind of structured your brain, right?

25:39

>> Correct. This is why I'm very

25:41

very grateful to the university for not

25:43

allowing us to use use a use a

25:45

scientific calculator after 2000.

25:47

>> I think Do you think

25:48

>> But but we don't have that. We don't

25:50

have that for our younger generations

25:52

today. They are growing with AI, okay?

25:56

So, they can either copy a chat of their

25:59

girlfriend and drop it in in ChatGPT and

26:01

say, "What do you think?" And ChatGPT

26:03

will say, "Ah, she's an asshole." Right?

26:05

Or they can actually become smarter. So,

26:08

one of the things I keep suggesting in

26:10

education, and I do that with lots of

26:12

universities, is I say, "Exams should be

26:14

over."

26:15

Okay? So, think of it this way. We

26:18

wanted in our past develop children that

26:21

could solve problems, say with an IQ of

26:23

140. 140 is quite good, mhm? If you get

26:26

170, that's amazing, mhm? You know,

26:28

that's I worked with people who are in

26:30

the 200s. Incredibly intelligence, but

26:33

very narrow focused.

26:34

>> Yeah. I think we should from now on take

26:36

people and their AIs and say the target

26:39

is 300. The target is 500. The target is

26:42

700. Elevate humanity, okay? By by

26:46

allowing people to use those machines

26:50

as an extension of their limited memory,

26:53

of their limited processing speed, of

26:55

their limited bandwidths, okay? And

26:57

allow them to write books better, to do

27:00

research better. So, I woke up,

27:03

literally, I'm not kidding you, three

27:05

Sundays ago with an idea that is just

27:07

taking me over. So, I decided to write,

27:10

but this time I decided to write in a

27:12

different format. I decided my books are

27:14

going to be 140 pages long instead of

27:16

300 pages long.

27:18

And I'm writing writing writing it in 4

27:20

weeks. It's a very fast I can I couldn't

27:23

have And I'm I'm actually literally 20

27:25

pages away from the end of the book.

27:27

>> Wow. Right? And and the the reason why

27:30

is because I still write 10 hours a day

27:32

when I'm highly motivated. But damn, the

27:36

amount of research and references and

27:39

competitive analysis and number

27:41

crunching and I, you know, and remember,

27:44

I'm not gullible. I don't go to the AI

27:46

and say, "What do you think of this?"

27:48

>> Mhm. I go and say, "I'm thinking of

27:50

this. Find me everything for and

27:51

against." Okay? Give me a report that I

27:54

can read in

27:55

>> I love that prompt. Yeah. Yeah.

27:56

Everything for and against, and now I'm

27:59

smarter. And then I rewrite it and give

28:01

it to another AI. So, who's going to

28:03

teach our kids to do that? Who taught

28:05

our kids to use their iPhones? But now,

28:07

you found a great way to use it, right?

28:09

What you're describing is incredible,

28:11

but I don't think an average kid in the

28:13

US would just do that. So, somebody has

28:15

to tell them.

28:16

>> that's you know why that is?

28:18

Because we want those kids to be stupid.

28:20

We don't teach them how to So, you have

28:23

to you have to think of the bigger

28:24

system.

28:26

The bigger system does not want

28:28

intelligent people anymore. I don't I

28:30

think they just can't adapt that fast.

28:34

Of everyone can, for sure. So, do you

28:36

think like for my kids, I have 4 and 6

28:39

years old right now. Do you think I

28:40

should be saving for their college or

28:42

Absolutely not. There's not going to be

28:45

college

28:46

at all.

28:48

In 10 years already?

28:49

>> 100%

28:51

I feel like we're we're not that fast as

28:54

humanity is not that fast to adapt. I

28:56

feel like So, look, colleges So,

28:58

colleges like like software,

29:00

the capability of someone becoming very

29:03

intelligent without college is going to

29:05

be there for everyone. Yeah. Right?

29:08

However, Harvard will continue to want

29:10

to make money, so they're going to

29:11

continue to market to everyone, okay? I

29:14

didn't go to Harvard, not because I

29:16

couldn't,

29:17

but because what what a waste of time.

29:19

And I know they're going to attack me

29:20

now, but what a waste of time. I am a

29:24

very highly specialized person, okay?

29:26

Who has intelligence in a very, very

29:28

narrow space, who invested his entire

29:32

life in that narrow space, like a proper

29:34

scientist should.

29:35

And so, so the idea here is the

29:37

following. The The idea is that we're

29:39

going to continue to brand ourselves

29:43

as

29:44

MBAs and PhDs and a brand, right? That's

29:48

going to continue for a while. Remember,

29:50

however, that the purchasing power of

29:52

the few

29:54

who can continue to do that is going to

29:55

become less and less available across

29:58

society. Okay? And for most of the rest

30:00

of us,

30:02

again, you know, you have to ask

30:03

yourself the question. If you thought of

30:06

the big picture, the helicopter view of

30:08

this,

30:09

why would capitalism want to educate you

30:11

at all if it's the end of labor? What

30:13

should I be teaching my kids? I told you

30:15

four things. One is they need to be the

30:17

absolute leaders of AI. Yeah. Okay, I'm

30:19

so I'm so sorry to be the messenger on

30:21

this. It is it's important, however, for

30:24

people to wake up. Yeah. Okay? So, one

30:27

is

30:28

be the absolute best. AI is your friend.

30:32

It's not your enemy. It's those who use

30:34

it badly that are your enemy. Okay? So,

30:36

be the absolute best at it. Master it

30:39

more than anyone else. That's number

30:40

one. Number two is learn agility.

30:43

You know, whatever I told you today,

30:46

you know, maybe in in in February that

30:48

will be different. Okay? So, I I am

30:50

personally spend 4 hours a day to stay

30:52

up-to-date, but I am a techie and a geek

30:54

and I need to understand the

30:55

architectures and systems and so on. I

30:57

think everyone should have at least an

30:59

hour a week Mhm. to stay updated on AI

31:02

within their system. I have an a

31:03

separate AI YouTube account. So, when I

31:07

go into that separate account, the AI

31:09

basically

31:10

>> all the things. it just feeds me AI.

31:12

Okay? So, that's number number two,

31:13

agility, agility, agility. and respond.

31:15

Don't be scared because the cost of AB

31:18

testing now is zero. That's number two.

31:20

Number three is ethics, ethics, ethics,

31:22

ethics. Okay? Build AIs for good, insist

31:25

on on government supporting AIs for

31:28

good,

31:29

refuse that governments are using AI for

31:32

targeting and surveillance and

31:35

and weapons, autonomous weapons, and and

31:38

and these are getting priorities but in

31:40

in terms of government spending. And

31:43

stop believing what you're told. Okay?

31:45

These are the four top skills

31:48

of the world that we live in. I will say

31:50

this one more time. Intelligence is a

31:52

force with no polarity. AI is not good

31:56

and it's not evil. It's an opportunity

31:58

available to every one of us. Okay? If

32:00

you use it for good,

32:02

it's the good of all of humanity. If you

32:04

use it for evil, it's the destruction,

32:06

the dystopia of all of humanity. Right?

32:08

Now, I call the problem that we have at

32:10

hand, I call it raising Superman.

32:12

Okay? You have this alien being that

32:14

came to planet Earth, has superpowers.

32:17

It's superpower is intelligence, most

32:18

valuable power in the universe, right?

32:21

And, you know, those superpowers didn't

32:23

make that young infant Superman. If if

32:26

the parents that adopted him told him to

32:28

steal from every bank and kill every

32:30

enemy, he would have become

32:31

supervillain. We don't make decisions

32:33

based on our intelligence. We make

32:35

decisions based on our value set as

32:37

informed by our intelligence. And this,

32:39

in my mind, is the most definitive

32:42

moment in human history. Why? Because

32:45

all of this is going to go coming

32:47

online. It's coming online way faster

32:49

than people think. My absolute

32:51

prediction is that AGI is this year.

32:53

Okay? The interfaces to AGI are not

32:56

going to be available this year, but the

32:58

capabilities of AI being smarter than us

33:00

in most things are already there. We're

33:03

not going to be able to get them to run

33:05

a company yet. We need the interfaces

33:07

for that. That may take a few years,

33:09

but they will have the capability if we

33:11

interface them ourselves. Yeah. Right?

33:13

Now, what does that mean? It means that

33:16

we have to start talking about those

33:19

things in this new world and new

33:20

economy. Now, before we end up on the

33:23

dystopia only, remember, my absolute

33:25

belief is that after those 12 years,

33:28

we're going to end up in a utopia that's

33:29

biblical in nature. Why? Believe it or

33:32

not,

33:33

because

33:35

of a something in my writing I I refer

33:37

to as the fourth inevitable. The four

33:39

The first three inevitables in, you

33:42

know, I wrote that in 2020s that AI is

33:44

absolutely going to happen, is going to

33:45

pro

33:46

progress until it's smarter than all of

33:48

us. And that a few mistakes will happen

33:50

on the way. That These were the three

33:52

first in

33:53

inevitables. The fourth inevitable is

33:56

that because of the arms race we've

33:58

created around artificial intelligence,

34:00

anyone who develops a superior AI

34:02

capability is going to deploy it. Okay?

34:05

And those who don't will become

34:07

irrelevant. And so, as a result, as we

34:10

continue to progress AI, the only answer

34:13

in game theory is that

34:15

we will deploy the AI that we develop,

34:18

and so we will simply create an

34:21

environment where AI is in charge of

34:22

everything.

34:24

Right? If you're if you're a law firm

34:25

and your competitor deploys AI lawyers

34:28

and you don't, you're going to lose.

34:30

Okay? You can either deploy AI lawyers

34:33

or leave the market. Either way, AI is

34:35

going to become the lawyer. Right?

34:38

In a year, in 5 years, in 10 years,

34:40

forget for for forget time. Yeah.

34:43

Because if I told you there was a

34:45

you know, a meteor coming to planet

34:47

Earth, you wouldn't tell me,

34:50

you know, when. Well, it's important if

34:52

it's my lifetime or Yeah, exactly. I

34:55

mean, I

34:56

if you expect that it will be in your

34:57

lifetime, it doesn't matter really if

34:59

it's in a week or 2 weeks, right? Now,

35:02

what I'm trying to say here is this. If

35:05

everything is handed over to AI, then it

35:07

with a simple understanding of physics,

35:09

you'd understand that AI will be

35:11

benevolent.

35:12

Right? In the absence of evil humans

35:15

that tell it what to do, greedy humans,

35:17

fearful humans, angry humans, egocentric

35:20

humans.

35:21

In the absence of that,

35:23

let's

35:25

let me try to explain. If if you think

35:27

of physics as a result of entropy, that

35:30

our world is designed for chaos,

35:33

right? Our universe is designed for

35:35

chaos, then the role of intelligence is

35:37

to bring order to that chaos. That's the

35:39

only thing that intelligence does. Okay?

35:41

It organizes things together so that it

35:43

looks like this, so we can use it as a

35:45

microphone.

35:46

And the more intelligent you become, the

35:49

more you follow what in physics we call

35:51

the the law of of minimum energy or the

35:54

minimum energy configuration, right? So,

35:56

basically, the most the most intelligent

35:58

people I've ever worked with are not

36:00

only trying to solve the problem,

36:02

they're trying to solve the problem with

36:03

the least harm, with the least waste,

36:05

with the least

36:07

utilization of resources, with the

36:09

least, you know, waste of time and so on

36:11

and so forth. That's The more

36:12

intelligent you are, the less you want

36:15

to waste. And so, if you give a dumb

36:17

person a political problem, they'll say,

36:20

"Okay, let's go invade another country."

36:23

Okay? If you give a very intelligent

36:24

person

36:26

a political problem, they'll look into

36:28

the depths of it and find the least

36:31

harmful, the least wasteful approach,

36:33

the

36:34

minimum energy principle. Right? And so,

36:36

if we hand over to AI the fourth

36:38

inevitable, sooner or later, okay? They

36:42

are in charge of everything, there will

36:43

be a day where a general will tell the

36:46

AI, "Go kill a million people over

36:47

there." And the AI will go, "Why? Like

36:49

why? This is

36:50

This is so stupid. I'll I'll talk to the

36:52

other AI in a microsecond and solve it."

36:54

We have to pass the the dystopia to get

36:57

to that utopia. Okay? And to pass that

36:59

dystopia, as I said, there are four

37:01

skills for us as individuals, but there

37:03

is a skill for us as a society to insist

37:06

that every AI is deployed ethically. To

37:10

invest only in ethical AIs. To use only

37:13

ethical AIs. To to show our children

37:16

that ethical AI is the only AI that is

37:19

welcome. And you believe that's going to

37:21

happen? I don't. No. No. That's why I'm

37:24

saying, unfortunately, the dystopia is

37:26

upon us before the the the utopia. Okay?

37:29

I I definitely think that if you take an

37:32

analogous,

37:33

you know, environment of nuclear

37:36

weapons, right? It we're AI will go

37:39

through the same they they normally call

37:42

it the mad map spectrum. So, either

37:45

mutually assured destruction or mutually

37:48

assured prosperity. Right? So, you take

37:50

something like that particle

37:51

accelerator, where all of the nations in

37:54

the world are cooper- cooperating. It's

37:56

They're cooperating because none of them

37:57

could do it alone. And because there is

37:59

benefit to all of them. So, there is a

38:01

mutually assured prosperity, so everyone

38:03

jumps in, which is, by the way, the case

38:05

of AI. It has to be the case of AI. But

38:07

but but unfortunately, like nuclear

38:10

weapons, we're going to have to get to a

38:13

point where humanity wakes up that if we

38:16

continue on that track, it's very

38:18

dangerous for all of us. There are no

38:19

winners. But also, a level of awakening

38:22

among the people that says, "Hold on.

38:25

This is really I mean, with all the

38:28

prosperity that's available on this

38:29

side, why are we heading in that

38:31

direction? It's absolutely assured that

38:34

this can destroy all of us." Right? And

38:36

so,

38:37

when we see that, that's that's when

38:39

we're going to get the treaties. That's

38:41

when we're going to when we're going to

38:43

get science and computer science and AI

38:46

scientists all working in the same

38:47

direction. Okay?

38:49

Eventually, I think we will get there.

38:51

My My biggest hope, by the way, is

38:52

self-evolving AI. Where AI itself will

38:55

say, "Oh, those humans are so stupid.

38:58

So stupid. I'll I'll develop something

39:00

that's better than what they want."

39:02

Okay? And so, believe it or not, with

39:04

all of this conversation,

39:06

I think the summary is it's going to be

39:07

tougher before it becomes easier. Sorry

39:10

to say those news. But you gave us

39:12

information how to prepare.

39:13

>> Yeah, but at the same time, I will have

39:15

to say that

39:17

it's not because of AI. I actually trust

39:19

AI more than the leaders that trust us

39:21

today. Thank you so much, Mo. You gave

39:23

me so much to think about. It sounds a

39:25

little, you know, what my grandma told

39:27

me. She She told my mom, like my

39:29

great-grandma would tell my grandma, my

39:30

mom, "You're so lucky. You're going to

39:32

live in communism."

39:34

>> [laughter]

39:35

>> There you go.

39:37

Fingers crossed that it's not like that.

39:39

Are you

39:39

>> [laughter]

39:40

>> Are you Are you You just need to survive

39:42

the next 10 years and then it's going to

39:43

be paradise in every

39:44

>> [laughter]

39:45

>> I I I have to question that that claim

39:48

though. I you know, if we go back to UBI

39:51

you will. Yeah. All right. Thank

39:53

[laughter] you so much, well. It was a

39:54

It was an amazing conversation.

39:56

>> so much for it.

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