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He Helped Pioneer The Internet. Now He Says AI Will Change Everything Again

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0:01

[music]

0:08

Hi everyone, welcome back to Machine

0:10

Dreams where AI thinkers, builders, even

0:13

skeptics and survivors sit with us to

0:16

talk freely about failures,

0:18

breakthroughs, and what the future might

0:20

look like if we don't completely mess it

0:23

up. My name is Kawi Samuel Adibayo. I'm

0:26

a technology analyst and Forbes

0:28

contributor and I'm joined today by my

0:31

remarkable co-host.

0:33

>> I'm Leia Stern, a global communication

0:35

strategist and venture capitalist. Thank

0:38

you Sam for that incredible

0:40

introduction. Remarkable.

0:42

>> How you doing?

0:43

>> I'm okay. How are you?

0:45

>> Uh fine. I had a dream that we we

0:48

reached a thousand subscribers before

0:50

the end of the year on our YouTube

0:52

channel. So, [laughter]

0:55

>> how many are we at at the moment? Any

0:57

idea? I mean, we've only had one

0:59

episode.

0:59

>> We're We're at about 20 right now. So,

1:02

um we've had um a little over 200 views

1:06

on our first episode, and it's not even

1:08

24 hours yet, I think. Um which is a

1:12

good sign. So, maybe the dream comes to

1:14

pass after all. We'll see.

1:17

>> Maybe today's guest will up our numbers.

1:19

Who knows? Well, yeah. Today we're

1:21

joined by Roger Camas. He's research

1:24

director at CIONet International and

1:26

actually one of the pioneers of the

1:29

internet when he was at MIT in the

1:31

1970s. Not to age you Roger, but that is

1:34

extremely impressive.

1:36

>> Thank you very much, Leo. That was a

1:38

seminal moment. Really set my career up

1:41

for me.

1:42

>> We're very honored and privileged to

1:43

have you on the show. Thank you so much.

1:45

>> Yeah, this is the moment where you say

1:47

bow in the presence of greatness.

1:50

>> [laughter]

1:52

>> Roger, before we dive in, um, we were

1:54

just talking the other time. You've

1:55

lived through multiple eras of

1:57

technological change. You've seen the

1:59

rise of the internet. You've seen

2:01

microprocessors and chips and all of

2:03

that. Um, what's one moment from your

2:06

journey that still shapes, you know, how

2:08

you think about technology today?

2:10

>> Uh, big question. Actually

2:15

uh one particular moment uh in the

2:18

mid90s

2:20

British Telecom asked me to develop a

2:23

business plan uh for launching mobile

2:27

data.

2:29

Uh at that time it was all mobile voice.

2:32

Uh and we we were going into 3G which

2:36

required them to invest heavily in a new

2:39

network to support data. And the

2:42

question there was, so why would people

2:44

send data over a mobile network?

2:48

You'd have to laugh about that today. It

2:50

was 10 years before the iPhone. Uh, and

2:54

if I came back with three possible

2:57

applications, I said anywhere office,

3:01

personal world, which meant you could

3:04

access all your personal media, your

3:06

family, your photos, your films,

3:08

streaming. And the third one was what I

3:11

called emotional email or capture and

3:15

correspond which essentially was to say

3:17

I could be at a football match I could

3:19

capture the moment and I could share it

3:21

with friends. What was that? Facebook

3:25

before Facebook was even known about. I

3:27

think that was a seinal moment. Um I had

3:30

to wait 10 years to really see my dreams

3:32

come true. And you know we were

3:35

mentioning in the opening that you were

3:36

one of the pioneers of the internet.

3:38

Actually you told me that the first

3:41

computer actually costed the same as a

3:44

family car. Tell me tell me about that

3:46

first prototype.

3:48

>> Yes. I think we were all waiting for a

3:51

PC that we could actually bring to our

3:53

homes. At that that time [clears throat]

3:55

IBM was dominating the PC world and you

3:58

could go out you as a corporation you

4:00

could go you could afford to have a PC

4:02

but not many people were allowed to have

4:04

PCs in those days. So in 1983

4:08

suddenly the Mac was announced uh the

4:11

Macintosh and um the cost of that

4:16

product was the same as a family car and

4:18

as you can imagine the functionality was

4:20

so limited. It did have windows. That

4:23

was the big breakthrough

4:25

>> at the time. What did it cost

4:26

approximately?

4:27

>> Uh £3,000,

4:30

which in today's costs would be about

4:32

£30,000. So you may ask, why did I

4:35

splurge £3,000 on this computer? And the

4:39

answer is I actually wrote my first book

4:42

on on the computer. Uh and that made me

4:45

a lot of money. So uh more than paid for

4:47

the PC.

4:49

I think one of the things that I was

4:51

really curious to hear from you as

4:53

someone who's been in this in the game

4:56

in the technology space for well over

4:58

five decades you know you've been

4:59

advising

5:01

um boards of global 500 500 companies

5:04

for many many years about you know new

5:07

pieces of technology uh like AI is how

5:11

is the AI revolution

5:13

different if there's any difference at

5:16

all how is it different from you know re

5:18

previous technology revolutions that

5:20

we've seen, you know, over the last 1015

5:22

years.

5:24

>> Sure. I think that's a really good

5:26

question and and in the late ' 90s, uh,

5:30

I was in charge of e-commerce for EY and

5:32

Young and every major corporation in the

5:36

world was knocking on our door and

5:37

saying, "What's going to happen to us?

5:40

We've heard this word e-commerce. We

5:42

don't understand it. Do we put together

5:44

a website?" And I said, "No, I said this

5:47

is going to fundamentally change the way

5:48

you do business with your customers,

5:50

business to business and business to

5:52

consumer." Uh, that really shocked them.

5:55

They just didn't know what to do. And it

5:57

took many years before they really got

5:59

their hands around it. Uh, and look at

6:01

where Amazon took us. I mean, Amazon

6:04

came from nowhere and fundamentally

6:06

destroyed the retail industry. Um so it

6:10

it was a you know big body blow at the

6:13

time massive uncertainty and we're going

6:15

through the same thing again. No one at

6:18

board level has an understanding at all

6:21

of what AI means. Uh and I I put it like

6:25

this. I say that AI is a new era of

6:30

hyperpersonalization

6:32

whereas the last era was all about

6:35

transactions. It was all about hyper

6:38

connectivity. You could order something

6:40

out of Amazon. You just uh click and

6:43

collect and that's that's easy. Today

6:46

we're into a very new era where we're

6:49

not looking just at data. We're looking

6:51

at knowledge. We're looking at context.

6:54

And that changes the way we buy things.

6:56

That changes the way we organize

6:59

communities. Ultimately, I think it it

7:01

changes the world order. Now, [laughter]

7:04

most boards aren't get a face up to that

7:06

too easily. And the the interesting

7:09

question today is, you know, how how do

7:12

they even approach this new era? Uh

7:15

where do they start and and where do

7:17

they finish up? And we're all told it's

7:20

going to be all over in 10 years, but it

7:22

took 25 years for the internet to catch

7:25

on. Um, I suspect it'll take us another

7:28

20 years before AI is really embedded in

7:31

our lives. But right now, and I'm sure

7:34

you you as a journalists will

7:37

appreciate, it's enormously powerful in

7:40

in areas like research. Incredibly

7:43

powerful.

7:45

>> And because you've seen this evolution

7:47

over time, are you more fearful or

7:51

excited? Do you think we have more to be

7:54

excited about or more to be afraid

7:56

about? What really is in the near term?

8:00

>> Personally, I'm a great optimist. I

8:02

wouldn't be in this industry so long if

8:04

I wasn't. Uh I love new technologies. I

8:07

love the opportunities they present to

8:09

us. But clearly at the moment, my real

8:12

concern is jobs and careers. And I know

8:16

I've talked to a lot of young people in

8:19

at school, at university, postgrads, and

8:22

they're all saying, you know, how do we

8:24

prepare ourselves for this new AI era?

8:27

What are the jobs that will be around in

8:30

10 to 15 years time, and what will be

8:32

the jobs that aren't around? Uh, and I

8:35

think again, just like I mentioned,

8:37

boards are confused, young people are

8:39

confused. They're really confused as to

8:42

where to invest their time, energy,

8:45

passion. Uh it's it's a tough call right

8:49

now as to where where you might go into

8:53

into your new career.

8:56

Um just to track back a little bit um

8:59

and we'll come back to the subject of

9:01

jobs because there's real fear in the in

9:04

the in this space across you know

9:06

industries but you talked about IP

9:09

personalization as being the key

9:12

defining factor of the new AI era. Um

9:16

what could be the potential? I know that

9:18

there's a lot of benefits in terms of um

9:21

you know

9:23

um advertisements, personalizing

9:27

experiences uh but there are also

9:30

concerns about dangers especially when

9:31

it comes to privacy risks and all of

9:33

that. So what are some things to look

9:35

out for in this new era of

9:37

hyperpersonalization?

9:39

>> Sure. Well, so if I start, uh, I think

9:42

the big impact here is on our whole life

9:45

experiences. Whether it's our health,

9:47

whether it's our financial well-being,

9:50

our careers, our family relationships,

9:53

all of those things are going to be

9:55

hyperpersonalized. We're going to have

9:57

intelligence agents crawling all over

9:59

our lives. Uh, it's unstoppable.

10:03

Uh, up till now, of course, we'd given

10:05

away all our personal data. We're sucked

10:07

dry by Google and Amazon and everyone

10:10

else. Uh, and you know, we don't mind

10:13

too much. Uh, but it it hasn't infringed

10:16

on our personal freedom to date. The

10:19

danger now is that these intelligent

10:22

agents, agentic AI, are really going to

10:26

creep in there. Uh, and they're going to

10:28

discover all sorts of things about

10:30

ourselves. Whether in health care we're

10:33

about to face a medical breakdown, in

10:37

financial matters, maybe we're investing

10:40

in the wrong things. We're not listening

10:42

to Oral Buffett right now and the the

10:45

bubble in AI. Um career-wise, etc. Uh we

10:51

will as human beings, we'll want that

10:54

advice because we have it today from

10:57

professionals. go to doctors, we go to

10:59

financial a experts, career advisers,

11:03

etc. But tomorrow we're going to go to

11:05

machines. Uh and the danger for us is

11:08

exposure. Uh can we trust the machine?

11:12

Uh and I think the the answer says if we

11:17

give you our personal information, we

11:20

expect reciprocity. We want something

11:23

back. We don't just want a bunch of

11:25

adverts. Thank you very much. We want

11:27

advice which will really enhance and

11:30

change our lives.

11:32

And I mentioned this many many years

11:34

ago. I met with the founder of Amazon

11:36

because they were a clients of EY in the

11:39

'9s. And I said, "Congratulations,

11:41

you've got two million books on online

11:44

today in your catalog are fine. But

11:48

which of those books which will

11:50

fundamentally change my life?" because I

11:52

can order book after book and most of

11:55

them are unreadable. Uh if you could

11:58

tell me those 10 books, I'd pay well

12:01

over the cover price.

12:04

He had no answer for that. And today

12:06

Amazon has not progressed. It'll give

12:09

you some recommendations them

12:11

meaningless. Uh they're not going to

12:13

cage your life. But I think some time in

12:17

the next 10 years that will change

12:19

fundamentally because AI will understand

12:23

you as an individual. What you like,

12:26

what you don't like. Particularly your

12:28

access to media is a very strong

12:31

indicator of what your likes and

12:34

dislikes are are. What you watch on

12:36

Netflix, watch what podcasts you listen

12:39

to, what uh uh journals you read. This

12:43

tells you a lot about your own personal

12:46

preferences. So, all of this is going to

12:48

be picked up and it's going to be

12:51

interpreted hopefully for your benefit.

12:54

But, as I say, warning signs beware

12:58

>> and that's a bit scary. You know,

13:02

you you've been quoted as saying that

13:05

your passion is turning good ideas into

13:08

cash. Uh there's a lot of companies out

13:10

in the world at the moment claiming to

13:13

be AI companies. Uh if you were to

13:17

advise investors

13:19

where to put their money, what sectors

13:22

would you suggest uh would be likely to

13:25

be most profitable?

13:27

So my having lived through the dotcom

13:30

boom and bust uh my advice would be

13:33

don't go anywhere near

13:35

AI startups uh that are pure tech

13:39

startups but look at those companies

13:41

that really will have strong application

13:45

in a particular sector whether it's

13:47

retail or it's banking uh and where they

13:50

are where they've actually engaged with

13:53

serious-minded clients uh because I I

13:56

would say you haven't got a business if

13:58

you haven't got a customer. Uh that was

14:01

not the case in the dotcom boom. Most of

14:03

them hadn't got had got any thought

14:05

about having a customer only raising

14:08

more money. So I think one's got to be

14:10

very very cautious at this time. One

14:13

thing I will guarantee just like the

14:16

digital natives Amazon, Facebook, uh

14:20

Meta, we're going to see some mega

14:23

organizations emerge. I think in the

14:26

next three to five years those big names

14:29

are going to start to emerge. They are

14:32

going to be much bigger than Nvidia,

14:36

Meta that you know the magnificent Zav

14:39

are going to become uh a figment of the

14:42

past. Uh the new the new guys are going

14:45

to be much much bigger. Uh because the

14:48

power of AI uh to build and perfect new

14:52

business models is enormous. And these

14:54

guys who came out of the blue in the

14:57

digital era and had you know access to

14:59

all the digital capabilities

15:02

uh will find it very hard to acqu to

15:05

overlay AI whereas the AI natives will

15:10

have a you know a massive advantage here

15:12

massive leadership advantage and by the

15:14

way they won't all be big corporations

15:17

uh I guess that in 10 years time we'll

15:20

have the first trillionaire who runs a

15:23

business with no

15:26

That's a really, really, really, really

15:28

big claim, Roger. [laughter]

15:31

I want to take you up on that in the

15:32

next, you know,

15:34

>> I'd like to meet this guy. I'd like to

15:37

meet him and invest in him.

15:40

>> It might be you, Roger. Who knows?

15:43

>> I don't think so. My son, by the way,

15:45

started in our bedroom and now u has

15:48

built a global uh logistics and

15:50

e-commerce company from scratch with no

15:52

finance.

15:54

All right.

15:54

>> So, it can be done, but it's not it's

15:56

not a trillion. No close. Nowhere close

15:58

yet.

16:00

>> You know, in um there was this lecture

16:04

you this Jeremy Haywood lecture where

16:06

you talked about leaving and thriving in

16:09

a digital era. And you know, one of the

16:12

things you said that was pretty

16:13

interesting to me was that several key

16:15

technologies will define the next 10 to

16:19

15 years. And I suppose of course we are

16:22

in the AI era now and that is one of

16:24

going to be one of those major

16:26

technologies. Um my big question ties

16:30

into the conversation about people

16:31

losing their jobs, right?

16:33

>> Yeah.

16:34

>> What human skills do you think would be

16:37

most valuable in an AIdriven world?

16:42

>> Great question. Um, it's the interface

16:45

between the human and the machine which

16:47

is so vital and and so powerful. Uh, and

16:51

I've seen some good examples of this,

16:53

but I've also seen some pretty awful

16:55

examples of why people are failing to

16:58

exploit the power of the machine. Um,

17:02

machines are addictive. Uh, in fact, if

17:05

you're doing research, they're

17:06

obsessive. You can't stop. Um but the

17:10

question is firstly how do you prompt AI

17:15

uh to deliver the sort of answers that

17:18

you're really looking for and prompting

17:20

is going to become a profession. AI

17:22

prompters are going to be sought after

17:24

like data scientists were sought after

17:27

10 years ago. Um the other thing of

17:30

course is is the critical reasoning uh

17:34

and experience that you have to apply.

17:36

Uh and again the problem here is that

17:40

many corporations today are not taking

17:42

on young people. They're saying okay we

17:45

can fill we can fill that gap with AI uh

17:49

and hopefully that all our existing

17:52

people will become more experienced.

17:54

There's going to be a real gap here in

17:56

the marketplace of talent and skill that

18:00

actually can work alongside AI and and

18:04

undertake all the mundane tasks but more

18:06

importantly the more value adding tasks

18:09

and I think this is the big question

18:11

today is what are the jobs of the future

18:14

and clearly there's the physical jobs

18:16

you can be a nurse you can be a uh a

18:19

gardener you can be a plumber uh that's

18:22

not going to disappear But in corporate

18:24

terms, the whole of that middle layer is

18:27

going to be potentially threatened if

18:29

not wiped out.

18:31

>> And as we look ahead, um, forward

18:35

thinking, some personal reflections,

18:38

what what do you suggest we tell our

18:40

children, right? Because I think that's

18:42

the big question. The next generation,

18:45

my kids, what do we tell them about AI?

18:47

How do we educate them? What's the best

18:49

path forward in that realm?

18:52

I think we we've got to actually

18:54

encourage them to use the sort of skills

18:56

that weren't particularly recognized or

18:59

welcomed in the corporate world like

19:01

creativity, uh innovation, imagination,

19:05

imagineering, uh things that were sort

19:08

of essentially oh that guy's a maverick.

19:10

He's a futurist. He's an imagineer. uh

19:13

those are the people who are actually

19:15

going to be most important in the new

19:17

world because the speed of innovation

19:20

particularly around product and service

19:22

is going to increase is going to

19:23

accelerate uh and AI will enable that to

19:27

happen. The question then for young

19:29

young kids is how do I develop those

19:32

skills? And I was just talking to Sam. I

19:35

mean uh Sam and I used to paint. We used

19:37

to be uh aspiring artists. Uh and and

19:42

those are the things that actually more

19:45

important today than they ever were

19:47

because one's ability to express oneself

19:50

and be creative is going to be the the

19:52

key to the future in a way that it isn't

19:55

today. If you go into a corporation

19:57

today, you have to fit in. You have to

19:59

you have to run by the rule book. Um,

20:02

but that's not going to add the value in

20:05

in the future that uh we would expect.

20:09

>> What's your one big advice to um anyone

20:14

curious about AI um going into 2026,

20:18

including skeptics? You know, you're a

20:19

big optimist,

20:21

>> but there are also a lot of AI skeptics

20:22

and they have sound arguments. So,

20:25

what's your one big word advice to all

20:28

of us?

20:29

>> I think like everything else, you've

20:31

just got to get used to it. You've got

20:33

to use it and find out what its

20:35

strengths and weaknesses are. And uh I I

20:38

might have mentioned I've I launched a

20:40

project earlier on this year called uh

20:42

AI and the human experience. Uh and

20:45

instead of hiring a big staff and

20:47

getting lots of sponsors, I said I'm

20:49

just going to do it myself and I'm going

20:50

to use AI to do it for me. Um that was a

20:54

real learning experience, believe me. Uh

20:56

I have three platforms that I subscribe

20:58

to. I ask each one a question. I ask

21:01

them to critique each other. Uh I uh

21:05

share the the outcomes with uh real

21:07

people, human beings. Uh and I'm

21:10

learning a lot. Uh I guess being uh

21:14

being able to attend training courses. I

21:18

noticed Stanford is giving a free

21:20

training course on AI machine learning.

21:22

Well, I would, you know, that's my next

21:24

step. Take that course. Uh, acquire as

21:27

much education and knowledge but much

21:30

more practical experience. Just get

21:32

stuck into it. Uh, ask simple questions.

21:36

Uh, even on my WhatsApp, Meta, you know,

21:39

gives me some fabulous answers to

21:41

questions uh on the fly. Well, I'm just

21:44

talking to someone. I'll they'll mention

21:46

a word. I'll look it up and there you

21:48

are. So, I think it's it's immersing

21:50

yourself. That's the secret really. Uh

21:53

one day soon you'll stand back and say,

21:56

"Now I really see what this this is all

21:58

about." But right now, I have no idea.

22:02

Roger, thank you so much. This was

22:04

thoughtful, clear, and refreshingly

22:06

honest. Thank you for sharing

22:08

perspective that only decades of lived

22:11

experience can give.

22:14

>> Thank you both Leah and Sam. I I wish

22:18

you success. [music] I hope that in the

22:20

next time we talk you'll have a million

22:22

subscribers. I'm sure you will.

22:25

>> Amen. [music] Roger. Thank you so much

22:26

for that. And thank you to everyone

22:28

listening. This is machine dreams. More

22:31

transparent, unfiltered conversations

22:33

[music] with the people shaping the

22:35

future of AI like Roger are on the way.

22:38

[music] If you enjoyed this, please

22:40

subscribe, share it with someone

22:41

curious, and stick around. There's so

22:43

much more coming in upcoming episodes.

22:46

Have a good one.

22:56

[music]

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