He Helped Pioneer The Internet. Now He Says AI Will Change Everything Again
FULL TRANSCRIPT
[music]
Hi everyone, welcome back to Machine
Dreams where AI thinkers, builders, even
skeptics and survivors sit with us to
talk freely about failures,
breakthroughs, and what the future might
look like if we don't completely mess it
up. My name is Kawi Samuel Adibayo. I'm
a technology analyst and Forbes
contributor and I'm joined today by my
remarkable co-host.
>> I'm Leia Stern, a global communication
strategist and venture capitalist. Thank
you Sam for that incredible
introduction. Remarkable.
>> How you doing?
>> I'm okay. How are you?
>> Uh fine. I had a dream that we we
reached a thousand subscribers before
the end of the year on our YouTube
channel. So, [laughter]
>> how many are we at at the moment? Any
idea? I mean, we've only had one
episode.
>> We're We're at about 20 right now. So,
um we've had um a little over 200 views
on our first episode, and it's not even
24 hours yet, I think. Um which is a
good sign. So, maybe the dream comes to
pass after all. We'll see.
>> Maybe today's guest will up our numbers.
Who knows? Well, yeah. Today we're
joined by Roger Camas. He's research
director at CIONet International and
actually one of the pioneers of the
internet when he was at MIT in the
1970s. Not to age you Roger, but that is
extremely impressive.
>> Thank you very much, Leo. That was a
seminal moment. Really set my career up
for me.
>> We're very honored and privileged to
have you on the show. Thank you so much.
>> Yeah, this is the moment where you say
bow in the presence of greatness.
>> [laughter]
>> Roger, before we dive in, um, we were
just talking the other time. You've
lived through multiple eras of
technological change. You've seen the
rise of the internet. You've seen
microprocessors and chips and all of
that. Um, what's one moment from your
journey that still shapes, you know, how
you think about technology today?
>> Uh, big question. Actually
uh one particular moment uh in the
mid90s
British Telecom asked me to develop a
business plan uh for launching mobile
data.
Uh at that time it was all mobile voice.
Uh and we we were going into 3G which
required them to invest heavily in a new
network to support data. And the
question there was, so why would people
send data over a mobile network?
You'd have to laugh about that today. It
was 10 years before the iPhone. Uh, and
if I came back with three possible
applications, I said anywhere office,
personal world, which meant you could
access all your personal media, your
family, your photos, your films,
streaming. And the third one was what I
called emotional email or capture and
correspond which essentially was to say
I could be at a football match I could
capture the moment and I could share it
with friends. What was that? Facebook
before Facebook was even known about. I
think that was a seinal moment. Um I had
to wait 10 years to really see my dreams
come true. And you know we were
mentioning in the opening that you were
one of the pioneers of the internet.
Actually you told me that the first
computer actually costed the same as a
family car. Tell me tell me about that
first prototype.
>> Yes. I think we were all waiting for a
PC that we could actually bring to our
homes. At that that time [clears throat]
IBM was dominating the PC world and you
could go out you as a corporation you
could go you could afford to have a PC
but not many people were allowed to have
PCs in those days. So in 1983
suddenly the Mac was announced uh the
Macintosh and um the cost of that
product was the same as a family car and
as you can imagine the functionality was
so limited. It did have windows. That
was the big breakthrough
>> at the time. What did it cost
approximately?
>> Uh £3,000,
which in today's costs would be about
£30,000. So you may ask, why did I
splurge £3,000 on this computer? And the
answer is I actually wrote my first book
on on the computer. Uh and that made me
a lot of money. So uh more than paid for
the PC.
I think one of the things that I was
really curious to hear from you as
someone who's been in this in the game
in the technology space for well over
five decades you know you've been
advising
um boards of global 500 500 companies
for many many years about you know new
pieces of technology uh like AI is how
is the AI revolution
different if there's any difference at
all how is it different from you know re
previous technology revolutions that
we've seen, you know, over the last 1015
years.
>> Sure. I think that's a really good
question and and in the late ' 90s, uh,
I was in charge of e-commerce for EY and
Young and every major corporation in the
world was knocking on our door and
saying, "What's going to happen to us?
We've heard this word e-commerce. We
don't understand it. Do we put together
a website?" And I said, "No, I said this
is going to fundamentally change the way
you do business with your customers,
business to business and business to
consumer." Uh, that really shocked them.
They just didn't know what to do. And it
took many years before they really got
their hands around it. Uh, and look at
where Amazon took us. I mean, Amazon
came from nowhere and fundamentally
destroyed the retail industry. Um so it
it was a you know big body blow at the
time massive uncertainty and we're going
through the same thing again. No one at
board level has an understanding at all
of what AI means. Uh and I I put it like
this. I say that AI is a new era of
hyperpersonalization
whereas the last era was all about
transactions. It was all about hyper
connectivity. You could order something
out of Amazon. You just uh click and
collect and that's that's easy. Today
we're into a very new era where we're
not looking just at data. We're looking
at knowledge. We're looking at context.
And that changes the way we buy things.
That changes the way we organize
communities. Ultimately, I think it it
changes the world order. Now, [laughter]
most boards aren't get a face up to that
too easily. And the the interesting
question today is, you know, how how do
they even approach this new era? Uh
where do they start and and where do
they finish up? And we're all told it's
going to be all over in 10 years, but it
took 25 years for the internet to catch
on. Um, I suspect it'll take us another
20 years before AI is really embedded in
our lives. But right now, and I'm sure
you you as a journalists will
appreciate, it's enormously powerful in
in areas like research. Incredibly
powerful.
>> And because you've seen this evolution
over time, are you more fearful or
excited? Do you think we have more to be
excited about or more to be afraid
about? What really is in the near term?
>> Personally, I'm a great optimist. I
wouldn't be in this industry so long if
I wasn't. Uh I love new technologies. I
love the opportunities they present to
us. But clearly at the moment, my real
concern is jobs and careers. And I know
I've talked to a lot of young people in
at school, at university, postgrads, and
they're all saying, you know, how do we
prepare ourselves for this new AI era?
What are the jobs that will be around in
10 to 15 years time, and what will be
the jobs that aren't around? Uh, and I
think again, just like I mentioned,
boards are confused, young people are
confused. They're really confused as to
where to invest their time, energy,
passion. Uh it's it's a tough call right
now as to where where you might go into
into your new career.
Um just to track back a little bit um
and we'll come back to the subject of
jobs because there's real fear in the in
the in this space across you know
industries but you talked about IP
personalization as being the key
defining factor of the new AI era. Um
what could be the potential? I know that
there's a lot of benefits in terms of um
you know
um advertisements, personalizing
experiences uh but there are also
concerns about dangers especially when
it comes to privacy risks and all of
that. So what are some things to look
out for in this new era of
hyperpersonalization?
>> Sure. Well, so if I start, uh, I think
the big impact here is on our whole life
experiences. Whether it's our health,
whether it's our financial well-being,
our careers, our family relationships,
all of those things are going to be
hyperpersonalized. We're going to have
intelligence agents crawling all over
our lives. Uh, it's unstoppable.
Uh, up till now, of course, we'd given
away all our personal data. We're sucked
dry by Google and Amazon and everyone
else. Uh, and you know, we don't mind
too much. Uh, but it it hasn't infringed
on our personal freedom to date. The
danger now is that these intelligent
agents, agentic AI, are really going to
creep in there. Uh, and they're going to
discover all sorts of things about
ourselves. Whether in health care we're
about to face a medical breakdown, in
financial matters, maybe we're investing
in the wrong things. We're not listening
to Oral Buffett right now and the the
bubble in AI. Um career-wise, etc. Uh we
will as human beings, we'll want that
advice because we have it today from
professionals. go to doctors, we go to
financial a experts, career advisers,
etc. But tomorrow we're going to go to
machines. Uh and the danger for us is
exposure. Uh can we trust the machine?
Uh and I think the the answer says if we
give you our personal information, we
expect reciprocity. We want something
back. We don't just want a bunch of
adverts. Thank you very much. We want
advice which will really enhance and
change our lives.
And I mentioned this many many years
ago. I met with the founder of Amazon
because they were a clients of EY in the
'9s. And I said, "Congratulations,
you've got two million books on online
today in your catalog are fine. But
which of those books which will
fundamentally change my life?" because I
can order book after book and most of
them are unreadable. Uh if you could
tell me those 10 books, I'd pay well
over the cover price.
He had no answer for that. And today
Amazon has not progressed. It'll give
you some recommendations them
meaningless. Uh they're not going to
cage your life. But I think some time in
the next 10 years that will change
fundamentally because AI will understand
you as an individual. What you like,
what you don't like. Particularly your
access to media is a very strong
indicator of what your likes and
dislikes are are. What you watch on
Netflix, watch what podcasts you listen
to, what uh uh journals you read. This
tells you a lot about your own personal
preferences. So, all of this is going to
be picked up and it's going to be
interpreted hopefully for your benefit.
But, as I say, warning signs beware
>> and that's a bit scary. You know,
you you've been quoted as saying that
your passion is turning good ideas into
cash. Uh there's a lot of companies out
in the world at the moment claiming to
be AI companies. Uh if you were to
advise investors
where to put their money, what sectors
would you suggest uh would be likely to
be most profitable?
So my having lived through the dotcom
boom and bust uh my advice would be
don't go anywhere near
AI startups uh that are pure tech
startups but look at those companies
that really will have strong application
in a particular sector whether it's
retail or it's banking uh and where they
are where they've actually engaged with
serious-minded clients uh because I I
would say you haven't got a business if
you haven't got a customer. Uh that was
not the case in the dotcom boom. Most of
them hadn't got had got any thought
about having a customer only raising
more money. So I think one's got to be
very very cautious at this time. One
thing I will guarantee just like the
digital natives Amazon, Facebook, uh
Meta, we're going to see some mega
organizations emerge. I think in the
next three to five years those big names
are going to start to emerge. They are
going to be much bigger than Nvidia,
Meta that you know the magnificent Zav
are going to become uh a figment of the
past. Uh the new the new guys are going
to be much much bigger. Uh because the
power of AI uh to build and perfect new
business models is enormous. And these
guys who came out of the blue in the
digital era and had you know access to
all the digital capabilities
uh will find it very hard to acqu to
overlay AI whereas the AI natives will
have a you know a massive advantage here
massive leadership advantage and by the
way they won't all be big corporations
uh I guess that in 10 years time we'll
have the first trillionaire who runs a
business with no
That's a really, really, really, really
big claim, Roger. [laughter]
I want to take you up on that in the
next, you know,
>> I'd like to meet this guy. I'd like to
meet him and invest in him.
>> It might be you, Roger. Who knows?
>> I don't think so. My son, by the way,
started in our bedroom and now u has
built a global uh logistics and
e-commerce company from scratch with no
finance.
All right.
>> So, it can be done, but it's not it's
not a trillion. No close. Nowhere close
yet.
>> You know, in um there was this lecture
you this Jeremy Haywood lecture where
you talked about leaving and thriving in
a digital era. And you know, one of the
things you said that was pretty
interesting to me was that several key
technologies will define the next 10 to
15 years. And I suppose of course we are
in the AI era now and that is one of
going to be one of those major
technologies. Um my big question ties
into the conversation about people
losing their jobs, right?
>> Yeah.
>> What human skills do you think would be
most valuable in an AIdriven world?
>> Great question. Um, it's the interface
between the human and the machine which
is so vital and and so powerful. Uh, and
I've seen some good examples of this,
but I've also seen some pretty awful
examples of why people are failing to
exploit the power of the machine. Um,
machines are addictive. Uh, in fact, if
you're doing research, they're
obsessive. You can't stop. Um but the
question is firstly how do you prompt AI
uh to deliver the sort of answers that
you're really looking for and prompting
is going to become a profession. AI
prompters are going to be sought after
like data scientists were sought after
10 years ago. Um the other thing of
course is is the critical reasoning uh
and experience that you have to apply.
Uh and again the problem here is that
many corporations today are not taking
on young people. They're saying okay we
can fill we can fill that gap with AI uh
and hopefully that all our existing
people will become more experienced.
There's going to be a real gap here in
the marketplace of talent and skill that
actually can work alongside AI and and
undertake all the mundane tasks but more
importantly the more value adding tasks
and I think this is the big question
today is what are the jobs of the future
and clearly there's the physical jobs
you can be a nurse you can be a uh a
gardener you can be a plumber uh that's
not going to disappear But in corporate
terms, the whole of that middle layer is
going to be potentially threatened if
not wiped out.
>> And as we look ahead, um, forward
thinking, some personal reflections,
what what do you suggest we tell our
children, right? Because I think that's
the big question. The next generation,
my kids, what do we tell them about AI?
How do we educate them? What's the best
path forward in that realm?
I think we we've got to actually
encourage them to use the sort of skills
that weren't particularly recognized or
welcomed in the corporate world like
creativity, uh innovation, imagination,
imagineering, uh things that were sort
of essentially oh that guy's a maverick.
He's a futurist. He's an imagineer. uh
those are the people who are actually
going to be most important in the new
world because the speed of innovation
particularly around product and service
is going to increase is going to
accelerate uh and AI will enable that to
happen. The question then for young
young kids is how do I develop those
skills? And I was just talking to Sam. I
mean uh Sam and I used to paint. We used
to be uh aspiring artists. Uh and and
those are the things that actually more
important today than they ever were
because one's ability to express oneself
and be creative is going to be the the
key to the future in a way that it isn't
today. If you go into a corporation
today, you have to fit in. You have to
you have to run by the rule book. Um,
but that's not going to add the value in
in the future that uh we would expect.
>> What's your one big advice to um anyone
curious about AI um going into 2026,
including skeptics? You know, you're a
big optimist,
>> but there are also a lot of AI skeptics
and they have sound arguments. So,
what's your one big word advice to all
of us?
>> I think like everything else, you've
just got to get used to it. You've got
to use it and find out what its
strengths and weaknesses are. And uh I I
might have mentioned I've I launched a
project earlier on this year called uh
AI and the human experience. Uh and
instead of hiring a big staff and
getting lots of sponsors, I said I'm
just going to do it myself and I'm going
to use AI to do it for me. Um that was a
real learning experience, believe me. Uh
I have three platforms that I subscribe
to. I ask each one a question. I ask
them to critique each other. Uh I uh
share the the outcomes with uh real
people, human beings. Uh and I'm
learning a lot. Uh I guess being uh
being able to attend training courses. I
noticed Stanford is giving a free
training course on AI machine learning.
Well, I would, you know, that's my next
step. Take that course. Uh, acquire as
much education and knowledge but much
more practical experience. Just get
stuck into it. Uh, ask simple questions.
Uh, even on my WhatsApp, Meta, you know,
gives me some fabulous answers to
questions uh on the fly. Well, I'm just
talking to someone. I'll they'll mention
a word. I'll look it up and there you
are. So, I think it's it's immersing
yourself. That's the secret really. Uh
one day soon you'll stand back and say,
"Now I really see what this this is all
about." But right now, I have no idea.
Roger, thank you so much. This was
thoughtful, clear, and refreshingly
honest. Thank you for sharing
perspective that only decades of lived
experience can give.
>> Thank you both Leah and Sam. I I wish
you success. [music] I hope that in the
next time we talk you'll have a million
subscribers. I'm sure you will.
>> Amen. [music] Roger. Thank you so much
for that. And thank you to everyone
listening. This is machine dreams. More
transparent, unfiltered conversations
[music] with the people shaping the
future of AI like Roger are on the way.
[music] If you enjoyed this, please
subscribe, share it with someone
curious, and stick around. There's so
much more coming in upcoming episodes.
Have a good one.
[music]
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