Latest / Money And Wealth With John Hope Bryant / AI, Power, and the Future of Humanity

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AI, Power, and the Future of Humanity · Money And Wealth With John Hope Bryant

• 0:00
  Speaker 1: Welcome to Money and Wealth with John O'Bryant, a production
• 0:03
  Speaker 1: of the Black Effect Podcast Network and iHeartRadio. Hello, Hello, Hello,
• 0:17
  Speaker 1: This is John Hope Bryant and this is the Money
• 0:21
  Speaker 1: in Wealth podcast series on iHeartRadio and the Black Effect Network.
• 0:27
  Speaker 1: I want to thank you for making this podcast. Top
• 0:33
  Speaker 1: forty for entrepreneurship on Apple in the United States, Top
• 0:36
  Speaker 1: forty top fifty number fluctuates, but top fifty is extraordinary,
• 0:42
  Speaker 1: and top one fifty for business on Apple in the
• 0:46
  Speaker 1: United States, the biggest economy in the world, and top
• 0:49
  Speaker 1: two to fifty in on every continent in the world.
• 0:54
  Speaker 1: People are listening, people are paying attention. This is increasingly
• 0:58
  Speaker 1: a global conversation. How do we have opportunity for all?
• 1:03
  Speaker 1: How do we unpack complication and repack it with simplification
• 1:09
  Speaker 1: understanding in mind? How do we repack the future.
• 1:13
  Speaker 2: With you in mind.
• 1:17
  Speaker 1: One of the things we've been grappling with is the
• 1:22
  Speaker 1: issue of artificial intelligence, and I've tried to be a
• 1:27
  Speaker 1: bit of a translator for you. We've had folks like
• 1:31
  Speaker 1: Van jones On who will be doing important work with
• 1:35
  Speaker 1: me and us going forward. We'll talk about that in
• 1:38
  Speaker 1: a minute. We talked about the AI Ethics Council, and
• 1:41
  Speaker 1: we'll get into that maybe a little bit in this
• 1:43
  Speaker 1: conversation and my friend Sam Autman and how that came about.
• 1:47
  Speaker 1: But we've never had this conversation. Whenever I have a guest,
• 1:52
  Speaker 1: it's important. They are important. I've had Michael Milkin on,
• 1:56
  Speaker 1: I've had the largest private equity leader in the world on,
• 2:00
  Speaker 1: Joe Barata a Blackstone one point two trillion dollars. We've
• 2:05
  Speaker 1: had heroes in sheros on as my guest, but never
• 2:14
  Speaker 1: a minister of artificial intelligence. And this gentleman is not
• 2:21
  Speaker 1: just any minister, His excellency, I'm gonna give him full respect.
• 2:26
  Speaker 1: We are new friends, but I'm give him full respect
• 2:29
  Speaker 1: because he deserves it. His excellency, the Minister Omar al Olama,
• 2:38
  Speaker 1: the first Minister of artificial intelligence from any government in
• 2:41
  Speaker 1: the world, in and from the United Arab Emirates. Before
• 2:47
  Speaker 1: I bring him on, and he looks by the way
• 2:50
  Speaker 1: that if you're watching this versus listening to this, this
• 2:53
  Speaker 1: will come out as a podcast of course first, and
• 2:57
  Speaker 1: you can listen to this while you're going about your life.
• 3:00
  Speaker 1: If you now have a chance to watch this subsequent
• 3:03
  Speaker 1: to it airing on one of the YouTube or other platforms,
• 3:07
  Speaker 1: you'll see he looks very young. That is not his assistant,
• 3:10
  Speaker 1: that is not his aid, that is not his right arm,
• 3:13
  Speaker 1: that is not his nephew.
• 3:14
  Speaker 3: That's him.
• 3:16
  Speaker 1: He has just achieved a lot in a very short
• 3:19
  Speaker 1: period of time, which again underscores why he's the right
• 3:23
  Speaker 1: person at the right time. He because he bridges the past,
• 3:26
  Speaker 1: present and the future. But before we get into into
• 3:29
  Speaker 1: him and ask him a question, I want you to
• 3:31
  Speaker 1: understand the UAE. It's a federation of seven of seven emirates.
• 3:39
  Speaker 1: You would know most my guess about the most visual
• 3:44
  Speaker 1: visible in public one public facing one, which is Dubai.
• 3:51
  Speaker 1: You might know of friends who travel there often, like
• 3:55
  Speaker 1: Steve Harvey and others. It's a very elegant place, very sophisticated.
• 4:00
  Speaker 1: I've traveled there. I've actually have offices in you another
• 4:05
  Speaker 1: conversation for another time. Very impressed with it. Seven emirates
• 4:11
  Speaker 1: population about ten million and growing. They are a strategic
• 4:17
  Speaker 1: hub that links the Middle East, Africa, Asia in Europe.
• 4:27
  Speaker 2: They are.
• 4:29
  Speaker 1: A structured government that includes a vice president and a
• 4:33
  Speaker 1: vice president, so we would understand the structure. The vice
• 4:36
  Speaker 1: president is also prime minister. As I understand there's a
• 4:40
  Speaker 1: council of ministers, the cabinet, and my friend minister would
• 4:47
  Speaker 1: be mister Alallama would be one of those members in
• 4:50
  Speaker 1: that council. He'll tell you, he'll correct me if i'm
• 4:54
  Speaker 1: if I'm wrong. There's a federal National Council, there's a judiciary.
• 4:59
  Speaker 1: It is one of the wealthiest states per capita in
• 5:03
  Speaker 1: the world, and they are investing in AI and clean energy, biotech,
• 5:11
  Speaker 1: space and advanced manufacturing. Now you did not mention hear
• 5:14
  Speaker 1: me mentioned oil. It is obvious for anybody knows the
• 5:18
  Speaker 1: region that they have been blessed with oil. But they
• 5:21
  Speaker 1: are leaning into the future and reimagining what this foundation
• 5:27
  Speaker 1: of opportunity can mean for them, and I think that
• 5:31
  Speaker 1: is very, very smart. They have very close ties with
• 5:34
  Speaker 1: the US and Europe and expanding partnerships in Asia, in India,
• 5:40
  Speaker 1: and in Africa, and they've even normalized relations with Israel
• 5:46
  Speaker 1: via the Abraham Accords. Very progressive, very thoughtful country. They're neutral,
• 5:53
  Speaker 1: convening power and one of the things they've done in
• 5:56
  Speaker 1: that regard is something called the World Government Summit, which
• 6:00
  Speaker 1: coincidentally I have spoken at a few years ago, and I
• 6:04
  Speaker 1: remember what year, but my guess is the first year
• 6:07
  Speaker 1: that actually this man read it, which I believe was
• 6:10
  Speaker 1: twenty twenty one or twenty twenty two. He's also the
• 6:13
  Speaker 1: leader of the World Government Summon. Let me now not
• 6:20
  Speaker 1: delay this any more because you're tired of hearing me.
• 6:23
  Speaker 1: You want to hear from him. Ladies and gentlemen, Let
• 6:26
  Speaker 1: me introduce you to my new friend. And I'm proud
• 6:28
  Speaker 1: to say we have formally announced at the Hope Low
• 6:31
  Speaker 1: Forum twenty twenty five, where he spoke virtually in live
• 6:35
  Speaker 1: with Ruth Parratt, the President of Google, on this topic,
• 6:39
  Speaker 1: our newest member of the AI Ethics Council, Minister al Olama, Welcome,
• 6:48
  Speaker 1: my friend.
• 6:49
  Speaker 2: Thank you for having me, my friends, and a great
• 6:52
  Speaker 2: pleasure of being with you. I hope that we are
• 6:55
  Speaker 2: able to put on a good show for the folks
• 6:57
  Speaker 2: start hearing this and seeing this in the coming weeks.
• 7:00
  Speaker 1: Just being yourself will do exactly that and more. You're authentic,
• 7:06
  Speaker 1: and that is my number one criteria for anybody. I
• 7:10
  Speaker 1: think as I was introducing you, and I think about this,
• 7:14
  Speaker 1: I wanted to think about this before I said it.
• 7:17
  Speaker 1: I believe you're my first government official. I think, I mean, certainly.
• 7:24
  Speaker 2: That's thank you for having me as your first government division.
• 7:27
  Speaker 2: I hope that this will start a new trend. If
• 7:30
  Speaker 2: you're having more government officials on your show, well, if
• 7:33
  Speaker 2: they're authentic like you, then the answer is yes. Let's
• 7:37
  Speaker 2: get into By the way, is there anything that I
• 7:39
  Speaker 2: said in the introduction of you and in the UA
• 7:41
  Speaker 2: that it was inaccurate that we need to correct the
• 7:43
  Speaker 2: record of so one fact check that we need to
• 7:46
  Speaker 2: correct the re cardon. I actually started running the World
• 7:50
  Speaker 2: Government Summit in twenty fifteen, so a few years before
• 7:56
  Speaker 2: you partook in it. You joined us in twenty twenty two.
• 8:01
  Speaker 1: And you know, he even knows when I spoke so
• 8:06
  Speaker 1: U you were twelve in twenty fifteen.
• 8:08
  Speaker 3: I mean.
• 8:11
  Speaker 2: I was, you're.
• 8:13
  Speaker 1: Timeless in uh people by people call me still call
• 8:16
  Speaker 1: me young man. Is really funny. I love it's a compliment.
• 8:20
  Speaker 1: People think that, I guess have youthful energy. So I'll
• 8:22
  Speaker 1: take that. The people in the lead in business and
• 8:24
  Speaker 1: leadership still call me all that young man, John O'Brien.
• 8:27
  Speaker 1: So it used to be that you want to look
• 8:29
  Speaker 1: older when you're younger, you want to look older when
• 8:32
  Speaker 1: you get older. You're very happy. Somebody thinks you're younger,
• 8:35
  Speaker 1: and so it is a compliment to you that like
• 8:38
  Speaker 1: many tech leaders like Sam and others who are young
• 8:45
  Speaker 1: but who have wisdom of ages and who are leading
• 8:48
  Speaker 1: in very important spaces. Is there anything else that I
• 8:51
  Speaker 1: mentioned that you think needs an additional clarity.
• 8:54
  Speaker 2: Or I think I think that was very accurate.
• 8:59
  Speaker 1: Tell me about tell the audience about your background. How
• 9:04
  Speaker 1: does one grow up in the UAE as a young man?
• 9:09
  Speaker 1: What's the you know, the experience as a child growing
• 9:12
  Speaker 1: up in that household with mom and dad, with the
• 9:15
  Speaker 1: family structure, with the educational system. How does that feel?
• 9:21
  Speaker 1: What is that? What is the flow and narrative of
• 9:23
  Speaker 1: growing up in the Middle East, specifically in the UAE.
• 9:28
  Speaker 2: I think that's a very thoughtful question. Thank you for
• 9:30
  Speaker 2: starting with that. Let me start off by explaining to
• 9:34
  Speaker 2: you that no one actually can choose where they're born.
• 9:38
  Speaker 2: There's a lottery. The lottery is, you know, you come
• 9:42
  Speaker 2: into this world and where you land either as a
• 9:45
  Speaker 2: place where you're bound to succeed or you're not. And
• 9:50
  Speaker 2: sometimes even if you're not bound to succeed, you through
• 9:53
  Speaker 2: that lottery, are able to you make do with the
• 9:57
  Speaker 2: situation that you are born in and hopefully something out
• 10:00
  Speaker 2: of nothing, or if you're born into a good situation,
• 10:04
  Speaker 2: maximize it to do even better in the world. So,
• 10:07
  Speaker 2: you know, I don't choose where I was born, but
• 10:09
  Speaker 2: I think I won the lottery in terms of where
• 10:11
  Speaker 2: I was born. I was born in a startup nation.
• 10:15
  Speaker 2: So when I was born in nineteen nineteen, my country was,
• 10:21
  Speaker 2: you know, a young country. So our country was formed
• 10:24
  Speaker 2: in nineteen seventy one, so it was a startup nation
• 10:28
  Speaker 2: at the age of many entrepreneurs that might be hearing this,
• 10:32
  Speaker 2: that's when my country was born in nineteen ninety nineteen
• 10:34
  Speaker 2: seventy one, and at that point in time, it was
• 10:38
  Speaker 2: a nation that didn't have much to its name, but
• 10:40
  Speaker 2: had ambitions, that had drive. It had leadership that believed
• 10:45
  Speaker 2: that we can achieve the impossible. Another thing relating to
• 10:51
  Speaker 2: the lottery is you can't choose who your parents are.
• 10:54
  Speaker 2: So I think I won the lottery with having the
• 10:57
  Speaker 2: best parents in the world that have the harshest background
• 11:04
  Speaker 2: or any combination of backgrounds for any child to be
• 11:07
  Speaker 2: born into a household people with both backgrounds. So my
• 11:10
  Speaker 2: father used to work in the army, so it's very disciplined.
• 11:13
  Speaker 2: You know, you couldn't really negotiate with them, and my
• 11:15
  Speaker 2: mother a high school principle. So these jobs are like
• 11:19
  Speaker 2: the strictest jobs you can have, and you grow into
• 11:23
  Speaker 2: a household where you know exactly what needs to be done,
• 11:26
  Speaker 2: how it's expected to be done. There's a lot of order,
• 11:28
  Speaker 2: there's a lot of discipline. But one thing that my
• 11:31
  Speaker 2: parents insisted in us having is a work class education.
• 11:36
  Speaker 2: So they spent all of their savings as a couple,
• 11:40
  Speaker 2: not on investments they should have invested, but they spent
• 11:43
  Speaker 2: all their investments in us as a set of siblings.
• 11:48
  Speaker 2: So we are four siblings. I have an older brother
• 11:50
  Speaker 2: and two younger sisters, and we really got the best
• 11:54
  Speaker 2: education that you can get. The second thing that they
• 11:57
  Speaker 2: believed was it's very important for us to always be
• 12:01
  Speaker 2: exposed to technology. So any technology that came out from
• 12:05
  Speaker 2: anywhere in the world, my father would go out of
• 12:09
  Speaker 2: his way, even if it's you know, to the extent
• 12:11
  Speaker 2: where he had to take out a loan or he
• 12:14
  Speaker 2: had to, you know, do something where you know, he'd
• 12:18
  Speaker 2: have to maybe cut back on things that he wants
• 12:21
  Speaker 2: to get us the best technologies. So we got a
• 12:23
  Speaker 2: computer and the internet much earlier than our peers and
• 12:28
  Speaker 2: our friends, and you know, our cousins as well, So
• 12:33
  Speaker 2: that household was a household where we were seeing the
• 12:37
  Speaker 2: world around us really, you know, being a lot more
• 12:39
  Speaker 2: advanced in our country. I remember when we used to
• 12:42
  Speaker 2: travel to the UK, or when we travel to different
• 12:45
  Speaker 2: places around the world, Egypt and other places, we always
• 12:48
  Speaker 2: used to come back. And I used to look at
• 12:49
  Speaker 2: my parents and say, why do we need to come back?
• 12:53
  Speaker 2: And my parents used to say, because it's home. And
• 12:56
  Speaker 2: they said, if you work hard enough, and if we
• 12:59
  Speaker 2: work hard enough, and if we all dream big enough,
• 13:02
  Speaker 2: our home is going to be better on this place.
• 13:05
  Speaker 2: And they believed it. They genuinely believed it. And you
• 13:09
  Speaker 2: have to imagine, you know, I'm not that old. I'm
• 13:13
  Speaker 2: thirty five years old. I still believe I'm young, the
• 13:15
  Speaker 2: same way that you believe that you're young. I think
• 13:16
  Speaker 2: that a person with a young metality learn or strife.
• 13:20
  Speaker 2: But when I was a young child, I still remember
• 13:23
  Speaker 2: to this day that my father used to call home
• 13:27
  Speaker 2: before he drives home, and we need to go out,
• 13:31
  Speaker 2: as young kids, out into the state board of our
• 13:33
  Speaker 2: house and pour buckets of water on the sand so
• 13:36
  Speaker 2: Scott doesn't sink in the soft sand, so the roads
• 13:40
  Speaker 2: weren't even built. You know, we were living in a
• 13:43
  Speaker 2: house and around us their sand. And today this nation
• 13:47
  Speaker 2: is one of the most developed nations in the world.
• 13:49
  Speaker 2: We have the tallest tower in the world. And it's
• 13:51
  Speaker 2: not just that we celebrated. The whole world calls the
• 13:54
  Speaker 2: splace home. We have two hundred nationalities, people from every
• 13:57
  Speaker 2: single you know country in the world me to the
• 14:00
  Speaker 2: UE and living here, and it's one of the most
• 14:02
  Speaker 2: prosperous nations. It's not because of oil. So most people
• 14:06
  Speaker 2: think that, you know, this is a result for oil,
• 14:08
  Speaker 2: and you know, my response is oil is both a
• 14:11
  Speaker 2: blessing and a curse. Libya has far more oil than
• 14:13
  Speaker 2: the UA, Venezuela more oil in the UA. The Iraq
• 14:17
  Speaker 2: has more oil than the UAE, and they at one
• 14:20
  Speaker 2: point of time richard countries than the UA. But the
• 14:24
  Speaker 2: biggest blessing isn't the natural resources. It's leadership. There are
• 14:27
  Speaker 2: countries like Singapore and the UA, I think is a
• 14:29
  Speaker 2: similar example that weren't blessed with world class infrastructure or
• 14:34
  Speaker 2: world blessed with many educated people. You know, in nineteen
• 14:38
  Speaker 2: seventy one, the number of high school graduates we had
• 14:41
  Speaker 2: or I think university graduates with around forty people point
• 14:46
  Speaker 2: forty four zero. You're talking about the nation that's starting
• 14:49
  Speaker 2: up and only has forty graduates I think of universities.
• 14:53
  Speaker 3: Wow.
• 14:55
  Speaker 2: So you know what the leadership did here. The first
• 14:57
  Speaker 2: thing they did was they said, we want every single
• 15:00
  Speaker 2: person that comes into this country as a born baby
• 15:05
  Speaker 2: should be educated in school and should go to university.
• 15:09
  Speaker 2: And they worked on programs, programs where people would get food.
• 15:13
  Speaker 2: You know, there are certain people that were bedoinds that
• 15:15
  Speaker 2: are living in the desert, Yes, get food if they
• 15:18
  Speaker 2: go to classes, would get allowances, so they'd get money
• 15:22
  Speaker 2: if they go to school. And the point was, you know,
• 15:25
  Speaker 2: our readers should believe that education comes first. Beyond education,
• 15:30
  Speaker 2: it was we need to enable people with the best
• 15:32
  Speaker 2: infrastructure possible. And infrastructure isn't just roads, it's connectivity, it's electricity,
• 15:39
  Speaker 2: it's every single bit of infrastructure that you need to
• 15:42
  Speaker 2: yield any tool or any technology that's going to shape
• 15:45
  Speaker 2: the future. And that's you know, what brought us from
• 15:49
  Speaker 2: where we were to where we are today.
• 15:55
  Speaker 1: So the first thing I think the audience is going
• 15:58
  Speaker 1: to find a bit shocking that you just weren't born
• 16:01
  Speaker 1: with a silver spoon in your mouth.
• 16:03
  Speaker 3: You weren't born.
• 16:04
  Speaker 1: Wealthy and with a bunch of folks catering to you. Clearly,
• 16:09
  Speaker 1: your background is as relatable to the audience should be
• 16:15
  Speaker 1: as mine. It was a working class, middle class family
• 16:21
  Speaker 1: and a father who disciplined you, a mother who loved you.
• 16:24
  Speaker 1: They both loved you, but it approached that love in
• 16:26
  Speaker 1: different ways. A father who held you accountable. They sacrificed
• 16:34
  Speaker 1: so that you'd have the currency of the future, which
• 16:37
  Speaker 1: is education, and expose you to things early and often,
• 16:43
  Speaker 1: and put a computer in front of you, like my
• 16:45
  Speaker 1: mom and dad put a computer in front of me
• 16:47
  Speaker 1: at an early age, and you took to that like
• 16:52
  Speaker 1: a fish takes to water. And in many ways, you've
• 16:55
  Speaker 1: been doing this job before you even had the job,
• 16:57
  Speaker 1: because of your passion. And like those who come from
• 17:03
  Speaker 1: underserved populations here in the US, you had to go
• 17:07
  Speaker 1: from what I call the streets to the suites. And
• 17:09
  Speaker 1: it wasn't even a street.
• 17:10
  Speaker 3: It was a it was a it was a road.
• 17:12
  Speaker 1: Even it was sand dune, it was it was someplace
• 17:15
  Speaker 1: you had to harden so that you could even work
• 17:19
  Speaker 1: and operate order. So you understand and correlate to these
• 17:22
  Speaker 1: the least of these God's children. That's the first thing
• 17:25
  Speaker 1: I think that jumps out at me. There's a bridge
• 17:28
  Speaker 1: that we can all ride on here. And I think
• 17:33
  Speaker 1: it's also appropriate that your full title, Omar Sultan al
• 17:38
  Speaker 1: Alama is the UAE Minister of State for Artificial Intelligence
• 17:44
  Speaker 1: Digital Economy, and we're remote work applications. And he was
• 17:51
  Speaker 1: appointed to his first leadership position in his twenties, as
• 17:54
  Speaker 1: he just mentioned, I believe that was the World Government
• 17:58
  Speaker 1: Summit was that first position.
• 18:00
  Speaker 2: So yes, I was the mounting director of twenty fifteen
• 18:03
  Speaker 2: and I became minister when I was twenty seven.
• 18:06
  Speaker 1: So anybody listening to this in your twenties and think
• 18:10
  Speaker 1: that you can just party throughout your twenties might be
• 18:13
  Speaker 1: want to be inspired by this guy who is already
• 18:17
  Speaker 1: fast at work doing responsible things in mid twenties. I
• 18:20
  Speaker 1: started my first business when I was ten, homeless when
• 18:24
  Speaker 1: I was eighteen, bought a business when I was twenty one.
• 18:29
  Speaker 3: I started operating when I.
• 18:30
  Speaker 1: Was twenty six, So he and I started essentially the
• 18:33
  Speaker 1: same age in our professions. Let's now pivot to your role.
• 18:44
  Speaker 1: He doesn't talk about AI like a gadget ladies and gentlemen.
• 18:47
  Speaker 1: He talks about it like infrastructure, the way electricity and
• 18:52
  Speaker 1: banking once reshaped the world. He and I believe that
• 18:57
  Speaker 1: AI will reshape the world. This is like going from
• 19:01
  Speaker 1: the horse and buggy eighteen fifty to nineteen ten the
• 19:03
  Speaker 1: United States to the automobile. Horse and buddy to the
• 19:07
  Speaker 1: autobil took sixty years. I believe that the AI the
• 19:10
  Speaker 1: labor centric economies to technology centric economies. It's going to
• 19:14
  Speaker 1: take six years, twenty twenty, twenty four, and twenty thirty.
• 19:17
  Speaker 1: So we're already in the middle of this right now.
• 19:20
  Speaker 1: We call him a bit of a nation builder, not
• 19:22
  Speaker 1: a tech minister. He is a trusted leader who happens
• 19:27
  Speaker 1: to be young. That's building on a rich old history
• 19:33
  Speaker 1: leading us to the future. How do you and we
• 19:36
  Speaker 1: got two questions one time, how do you take all
• 19:39
  Speaker 1: this responsibility on your shoulders and carry us so lightly
• 19:43
  Speaker 1: and still be a nice person? Because I find he'd
• 19:45
  Speaker 1: be a very authentic, kind, respectful human, not somebody who's
• 19:50
  Speaker 1: impressed with themselves. You're impressive and not impressed with themselves,
• 19:54
  Speaker 1: which is a very unique question. That's why I asked
• 19:56
  Speaker 1: about your background, Like where is that normalcy come from
• 20:01
  Speaker 1: number two? So how do you continue this heavy work
• 20:04
  Speaker 1: with a light touch number two? How do we explain
• 20:08
  Speaker 1: a government that is progressive enough to lean It's not
• 20:14
  Speaker 1: trying to be a copy of the Western democracy, although
• 20:17
  Speaker 1: it respects Western democracy. It is executing a results driven
• 20:21
  Speaker 1: governance model that sees technology is central to be able
• 20:28
  Speaker 1: to move fast and efficiently, unlike governance wants to be fast,
• 20:35
  Speaker 1: efficient and productive. How does the audience put all these
• 20:41
  Speaker 1: things together? Why did the UA emerge as the first
• 20:47
  Speaker 1: government of the world to lay its bucket down in
• 20:50
  Speaker 1: artificial intelligence? Appoint you to a minister number two as
• 20:54
  Speaker 1: part of that? I guess number three is part of that.
• 20:57
  Speaker 1: What have you learned already of those listening is that
• 21:01
  Speaker 1: are from the government. It's both opportunities and concerns about
• 21:07
  Speaker 1: a government doing this.
• 21:09
  Speaker 2: Okay, so let me ask or let me try to answer,
• 21:14
  Speaker 2: before I ask you a follow up question on this.
• 21:15
  Speaker 2: But let me try to answer first the first portion
• 21:17
  Speaker 2: of your question, which is, how do you not be
• 21:20
  Speaker 2: so full of yourself? I'd be very honest. I think
• 21:25
  Speaker 2: a person is full of themselves when they believe that
• 21:29
  Speaker 2: they have done a good job and they know better
• 21:32
  Speaker 2: than others. I believe that I haven't no matter what
• 21:36
  Speaker 2: I did, because I could take very little credits for
• 21:40
  Speaker 2: what the UE was able to achieve over the last
• 21:43
  Speaker 2: eight years since I was appointed. And the reason why
• 21:46
  Speaker 2: is because, you know, funnily enough, even though I'm a
• 21:49
  Speaker 2: minister in the government, and you know I have maybe
• 21:51
  Speaker 2: some authority, and I have a team and so and
• 21:53
  Speaker 2: so forth, my leadership works and puts in more hours
• 21:57
  Speaker 2: than I do, and they are ambassadors for AI and
• 22:00
  Speaker 2: the set and plan with me in the I. And
• 22:03
  Speaker 2: when you see a person who you know is your
• 22:07
  Speaker 2: boss effectively, who puts a more hour than you do,
• 22:11
  Speaker 2: who is humbed, who you know cares about your subject
• 22:16
  Speaker 2: matter as much as you do, and you know is
• 22:19
  Speaker 2: able to invest time to understand it and to work
• 22:21
  Speaker 2: on it, you can't help but be humbled. You see
• 22:24
  Speaker 2: to yourself, you know, like, what the right do I
• 22:26
  Speaker 2: have to act better than they do. The second thing is,
• 22:31
  Speaker 2: you know, there's an interesting thing about leadership when you
• 22:34
  Speaker 2: start by leading a small team or leading on one thing.
• 22:37
  Speaker 2: So I have a number of responsibilities, you know, many
• 22:41
  Speaker 2: more than I can count, But I still remember my
• 22:45
  Speaker 2: very first responsibility. So I ran the World Government Summit.
• 22:49
  Speaker 2: I was twenty five. It's a mega event. As you
• 22:52
  Speaker 2: mentioned that, there are numerous heads of state, so last
• 22:56
  Speaker 2: year we had over thirty heads of the world exactly,
• 23:02
  Speaker 2: over a thousand CEOs, every international organization, like it's really
• 23:05
  Speaker 2: really bigree. And the first thing that happened, I remember
• 23:09
  Speaker 2: I felt very very stussed, and I felt like, you know,
• 23:13
  Speaker 2: there's no way I can do this right. Well we
• 23:17
  Speaker 2: did the first year. The first year, I was appointed
• 23:20
  Speaker 2: a few months prior to the summit, so everything was
• 23:22
  Speaker 2: already you know, in place, and my job was really
• 23:25
  Speaker 2: just to make sure that nothing gets messed up. And
• 23:27
  Speaker 2: I learned a lot doing that. The second year, three
• 23:31
  Speaker 2: months before the summit, I got a call and I
• 23:36
  Speaker 2: was told to host the world's largest drawn race. It's
• 23:41
  Speaker 2: called the World Drawn Tree. I knew nothing about drones.
• 23:45
  Speaker 2: Drone racing was like a gimmick that you know, certain
• 23:48
  Speaker 2: people would do on certain farms or like on small
• 23:51
  Speaker 2: patches of land, and leadership wanted this to be the
• 23:55
  Speaker 2: largest event in.
• 23:56
  Speaker 1: The world.
• 23:58
  Speaker 3: Pretty much three months.
• 24:01
  Speaker 2: Three months before the summit, and the event that the
• 24:03
  Speaker 2: drawn Pree was going to be a month after the summit,
• 24:07
  Speaker 2: so so yeah, it was insane and I came, I
• 24:11
  Speaker 2: came back to me. I said, I don't know how
• 24:12
  Speaker 2: I'm going to be able to do this. It's impossible.
• 24:15
  Speaker 2: And the response I got was, it is possible. You'll
• 24:18
  Speaker 2: figure it out. And to make things worse, So I
• 24:22
  Speaker 2: delivered the Summit and I was like barely about to
• 24:26
  Speaker 2: deliver the drum Prex. It really was the most impressive
• 24:28
  Speaker 2: drawn UH race in the world. You can read about it.
• 24:32
  Speaker 2: It was covered by every single outset in the world.
• 24:34
  Speaker 2: But the thing that happened was two days before the race,
• 24:38
  Speaker 2: before the drum Prie, we had a very bad thunderstorm
• 24:42
  Speaker 2: that destroyed much of the infrastructure that we put in place. Really,
• 24:46
  Speaker 2: I kid you not, and I came. I remember I
• 24:49
  Speaker 2: came to Readers Settlement. We'll have to call off the
• 24:51
  Speaker 2: race and we're going to disappoint the country and it's
• 24:55
  Speaker 2: going to be really bad. And there were tears in
• 24:57
  Speaker 2: my eyes, and I sat down in front of my
• 25:01
  Speaker 2: boss and I said, I'm really sorry, we'll have to
• 25:05
  Speaker 2: call off the event. And he looked at me and
• 25:08
  Speaker 2: he said, rama, be a man. I was like, what
• 25:11
  Speaker 2: does that have to do anything? He said, no, figure
• 25:14
  Speaker 2: it out. And my response was, but figure what out?
• 25:18
  Speaker 2: You know, there is nothing to figure out. He said,
• 25:21
  Speaker 2: there is a way to get it done, whether you
• 25:24
  Speaker 2: can do it yourself or you need to consult with someone,
• 25:27
  Speaker 2: bring the right people and figure out if needs to
• 25:30
  Speaker 2: be done. But it can be done. So you know,
• 25:33
  Speaker 2: my job here isn't to tell you call it off.
• 25:35
  Speaker 2: My job is to tell you there is a way
• 25:37
  Speaker 2: figure it out. So I left. I remember I was
• 25:40
  Speaker 2: driving and it was still raining a little bit, and
• 25:43
  Speaker 2: I held onto the steering where and I thought to myself,
• 25:46
  Speaker 2: you know, my career is over. There's no way I
• 25:48
  Speaker 2: can do this. And then I started thinking about here,
• 25:51
  Speaker 2: who are the people that I can call for advice?
• 25:53
  Speaker 2: Who are people that posted something similar, Who are people
• 25:56
  Speaker 2: who have done something as big? Who are people who
• 25:59
  Speaker 2: have been in a similar situation. So I made phone
• 26:02
  Speaker 2: calls and one person introduce me to another, and this
• 26:05
  Speaker 2: person doing someone else, and we called for a meeting.
• 26:09
  Speaker 2: They came in the middle of the night. I remember,
• 26:10
  Speaker 2: we're gonna tell them we don't have time. And we
• 26:13
  Speaker 2: discussed every single way that we can take this forward.
• 26:16
  Speaker 2: So what can be fixed and how to fix it?
• 26:20
  Speaker 2: What can be fixed and how to replace it and
• 26:23
  Speaker 2: what should be just you know, completely removed and ignored,
• 26:25
  Speaker 2: Like you don't have to deliver exactly what you had
• 26:27
  Speaker 2: in mind, but you have to deliver something that is
• 26:29
  Speaker 2: still as impressive as STI lesbig sure, and that was
• 26:32
  Speaker 2: an incredible learning opportunity because ever since that moment, every
• 26:37
  Speaker 2: single time I'm given a new responsibility or every single
• 26:39
  Speaker 2: time i'm you know, face of the challenge, the first
• 26:42
  Speaker 2: thing I think about is, Okay, it can be done.
• 26:45
  Speaker 2: How do I do it? And who do I do
• 26:47
  Speaker 2: to get it done? So that's the answer. Let's say
• 26:50
  Speaker 2: your first question, the second question on why deue has
• 26:54
  Speaker 2: put or appointed amils or for AI. The question that
• 26:57
  Speaker 2: we need to ask isn't why we appointed them for AIM.
• 27:00
  Speaker 2: This is this what's going to be my question. You
• 27:03
  Speaker 2: have to ask. Okay, so why didn't the UEE appoint
• 27:05
  Speaker 2: a Minister for cryptocurrencies or a Minister for the metaverse,
• 27:09
  Speaker 2: or a minister or blockchain or a Minister for IoT
• 27:13
  Speaker 2: like there are so many technologies over the last two
• 27:17
  Speaker 2: decades that were considered revolutionary. We have never appointed a
• 27:21
  Speaker 2: minister with sterio position for any of those. Why didn't
• 27:24
  Speaker 2: we a Minister for five g or a minister for smartphones.
• 27:29
  Speaker 2: And the answer is, so, the way that the UE
• 27:34
  Speaker 2: operates is we have a long term plan as a country. Yeah,
• 27:38
  Speaker 2: so you know we currently have a plan for twenty
• 27:41
  Speaker 2: seventy one. It's not going to be exactly what we imagine.
• 27:46
  Speaker 3: Did you say twenty seventy one? Yes, I love that.
• 27:51
  Speaker 1: So so basically your anniversary of your founding, looking forward a.
• 28:01
  Speaker 2: Look years one hundred after, how do you want the
• 28:05
  Speaker 2: nation to be? That's some naysayers might say, Okay, that's
• 28:11
  Speaker 2: just a crazy gimmick. How do you know what's going
• 28:13
  Speaker 2: to happen twenty seventy one, And my answer is we don't.
• 28:15
  Speaker 2: We don't know what technologies are going to be shaping
• 28:17
  Speaker 2: twenty seventy one. We don't know how the world's going
• 28:20
  Speaker 2: to be, but we do know a few things. We
• 28:22
  Speaker 2: do know that at that point we want the best
• 28:25
  Speaker 2: education system for our people. We do know at that
• 28:28
  Speaker 2: point we want people to not just have health care
• 28:31
  Speaker 2: that is reactive, but have health care that is preventative.
• 28:35
  Speaker 2: So we want to have a population that does not
• 28:37
  Speaker 2: need to seek health care. They can and they will
• 28:40
  Speaker 2: get word caass health care if you know they are
• 28:42
  Speaker 2: faced with a circumstance. But our health system needs to
• 28:47
  Speaker 2: be so good that they get the best preventative health care.
• 28:50
  Speaker 2: We want a nation that has infrastructure that doesn't just
• 28:54
  Speaker 2: allow you to move from point to point, but allows
• 28:56
  Speaker 2: you to get what you want without asking for us,
• 28:59
  Speaker 2: and AI is the core component of that. We want
• 29:02
  Speaker 2: to have the highest quality of living, we want to
• 29:04
  Speaker 2: have the best quality of air, and so on and
• 29:07
  Speaker 2: so forth. So these are not technology related you know,
• 29:10
  Speaker 2: visions or technology related targets. It's human rated targets and
• 29:15
  Speaker 2: technologies without intelligence. So as a nation, we've been investing
• 29:21
  Speaker 2: in AI for at least at least twenty years. So
• 29:27
  Speaker 2: how so you're going to see that the UE was
• 29:31
  Speaker 2: one of our sovereign funds or one of the core
• 29:35
  Speaker 2: reasons why Global Founderies was founded in the US, So
• 29:38
  Speaker 2: the UE was actually one of the investors that made
• 29:40
  Speaker 2: that happen. So we were investing in chips since two
• 29:43
  Speaker 2: thousand and eight, at least maybe before that. We had
• 29:47
  Speaker 2: one of the world's fastest supercomputers in twenty fifteen, so
• 29:52
  Speaker 2: even prior to the appointment of the Minister of AI.
• 29:55
  Speaker 2: And what you're going to see is every single time
• 29:59
  Speaker 2: we look the horizon, and so what technologies can affect
• 30:03
  Speaker 2: the world that we're living in. The first answer that
• 30:06
  Speaker 2: you know appeared in front of our leadership was AI
• 30:10
  Speaker 2: is going to change everything. It is changing many things.
• 30:14
  Speaker 2: And if you think about it, in two thousand and eight,
• 30:17
  Speaker 2: around nine years before my appointment, the most addictive thing
• 30:22
  Speaker 2: in everyone's lives was social media. Social media is AI.
• 30:25
  Speaker 2: Right at the end of the day, it's not just
• 30:27
  Speaker 2: pictures that you're posting, it's the artificial intelligience algorithm that's
• 30:31
  Speaker 2: making you addicted to going to this platform posting more so,
• 30:35
  Speaker 2: with that careful planning, there were a few reasons why
• 30:39
  Speaker 2: our leadership sides appoint them in stuff for AI. The
• 30:42
  Speaker 2: first is we want to celebrate exporting the last barrel
• 30:47
  Speaker 2: of oil. So as a nation, we don't, yeah, we
• 30:52
  Speaker 2: don't want to weep at the site of oil running out.
• 30:57
  Speaker 2: We actually want to celebrate it because we believe that
• 30:59
  Speaker 2: oil is a shorter opportunity that we need to wield
• 31:03
  Speaker 2: a leverage to improve the quality of life of everyone
• 31:06
  Speaker 2: in the way, not just the locals, the locals and
• 31:08
  Speaker 2: the residents, and to diversify enough to celebrate exporting the
• 31:14
  Speaker 2: last Barton so that's number one. Number two. If you
• 31:18
  Speaker 2: look at the largest companies in the world in two
• 31:22
  Speaker 2: thousand and eight, they were all oil and gas companies.
• 31:27
  Speaker 2: They were all traditional businesses. I think some of them
• 31:32
  Speaker 2: were in defense or in banking or things like that.
• 31:36
  Speaker 2: If you fast forward twenty sixteen, it was all technology
• 31:40
  Speaker 2: companies and many of them are realities. So the trajectory
• 31:46
  Speaker 2: was clear. AI is going to take everything. And then
• 31:48
  Speaker 2: the third thing is, if we're already addicted to it,
• 31:52
  Speaker 2: why don't we start thinking about it more holistically? How
• 31:56
  Speaker 2: do we regulate it? How do we protect people from
• 32:00
  Speaker 2: the bad ramifications of it? And I asked his Highness,
• 32:06
  Speaker 2: I said to him, but your Highness, why me, Why
• 32:10
  Speaker 2: didn't you hire a veteran, someone who has thirty years
• 32:16
  Speaker 2: of experience in AI torondous and why are you hiring
• 32:20
  Speaker 2: a young man that's twenty seven And he said, Omar,
• 32:24
  Speaker 2: I think that this technology is going to need someone
• 32:27
  Speaker 2: who can adapt, someone who can learn, is going to evolve,
• 32:31
  Speaker 2: So we need someone that will evolve with it. We
• 32:35
  Speaker 2: don't need the experience of the person, we need the
• 32:38
  Speaker 2: agility of the person. And he said, you're young enough
• 32:42
  Speaker 2: to be able to do that. Yep. That's the reason.
• 32:47
  Speaker 1: I loved that answer. For several reasons. I want to
• 32:51
  Speaker 1: unpack it. But we disagree on one thing, and that
• 32:55
  Speaker 1: only because I think you're being humble. You said that
• 32:58
  Speaker 1: you're a nice person, because are You're not uh have
• 33:03
  Speaker 1: a big head essentially and and uh obsessed about yourself
• 33:08
  Speaker 1: because of the lack of achievement.
• 33:09
  Speaker 3: Not first of all, not true.
• 33:11
  Speaker 1: You enormously achieved achievement based that people just hurd just
• 33:15
  Speaker 1: a small fraction of that in the times would not
• 33:18
  Speaker 1: have made disappointment to you, and he not had the
• 33:21
  Speaker 1: confidence that you could do it. And and my our
• 33:25
  Speaker 1: friend Ambassador uh usef Uh from who is in the
• 33:32
  Speaker 1: United States, would would never usef o table, would never
• 33:38
  Speaker 1: have introduced and recommended you as a lead leader that
• 33:43
  Speaker 1: represents the entire country uh that you represent the AI
• 33:47
  Speaker 1: Ethics Council, had he not had enormous conference with you.
• 33:50
  Speaker 1: He's also a very nice person, by the way, very
• 33:53
  Speaker 1: kind human being. I think it's a low I think
• 33:55
  Speaker 1: it's an insecurity and low self esteem which you don't have,
• 33:59
  Speaker 1: which can't.
• 34:03
  Speaker 3: Go ahead.
• 34:04
  Speaker 2: So I think achievement is a relative. And let me
• 34:08
  Speaker 2: tell you what I mean by that. Some people think
• 34:10
  Speaker 2: it's a relative to other people, so you know what
• 34:14
  Speaker 2: you have achieved compared to someone else. And those are
• 34:17
  Speaker 2: people who like to brag about or they achieved. They
• 34:19
  Speaker 2: look at how they've achieved certain things compared to others.
• 34:22
  Speaker 2: There are others who think that achievement is a relative
• 34:25
  Speaker 2: to what their expectations of themselves are. Someone like Elon Musk,
• 34:30
  Speaker 2: for example, if he sold PayPal to eBay and said
• 34:34
  Speaker 2: I've achieved because he compares themselves to others, I think
• 34:37
  Speaker 2: he would have stopped there. But even if we ask
• 34:40
  Speaker 2: him today, he's going to tell you there is so
• 34:42
  Speaker 2: much more to achieve. I haven't achieved anything. So I
• 34:46
  Speaker 2: think it's that it's not the insecurity part. It's the
• 34:49
  Speaker 2: fact that I understand. I think that the expectations from
• 34:54
  Speaker 2: leadership on what they want me to do on this
• 34:57
  Speaker 2: file are so large that we we've just sought it
• 35:02
  Speaker 2: and I can't claim that we've done anything big because
• 35:05
  Speaker 2: there's so much more to be done.
• 35:07
  Speaker 3: So there you go again.
• 35:09
  Speaker 1: All right, you're so humble you won't even take the
• 35:11
  Speaker 1: compliment at about you not being insecure.
• 35:13
  Speaker 3: You're not insecure, and you're not self absorbed.
• 35:17
  Speaker 1: You have confidence, and you have enough self esteem to
• 35:20
  Speaker 1: sit in comfort, reasonable comfort.
• 35:23
  Speaker 3: When I say this, you're reasonably comfortable in.
• 35:25
  Speaker 1: Your own skin, and saying that about somebody in their
• 35:27
  Speaker 1: thirties is really impressive. I didn't get there until I
• 35:31
  Speaker 1: was in my forties. You're reasonably comfortable in your own skin,
• 35:34
  Speaker 1: and that is a compliment to you. Given the enormous
• 35:37
  Speaker 1: position you have. You're still authentic, You're still thoughtful, caring.
• 35:40
  Speaker 1: Please keep that quality about yourself. It's really important. And
• 35:44
  Speaker 1: I love that we're arguing about you not being the
• 35:47
  Speaker 1: thing I'm telling you that you are, which is humble
• 35:50
  Speaker 1: and not self absorbed. That's the wonderful thing to disagree about.
• 35:58
  Speaker 1: Let's now go to some of you. Your presentation which
• 36:02
  Speaker 1: you walk right through, that I thought was absolutely mind blowing.
• 36:06
  Speaker 1: You said that we've been dealing with AI already for
• 36:09
  Speaker 1: a decade. It's called social media. And how do you
• 36:14
  Speaker 1: think I'm paraphrasing, how do you think the algorithms work?
• 36:19
  Speaker 3: And how do you think.
• 36:20
  Speaker 1: That people are so addicted to social media if not
• 36:25
  Speaker 1: from something that is theoretically more intelligent than the average
• 36:30
  Speaker 1: person in being able to drive their attention span on
• 36:35
  Speaker 1: a definable growing basis, and I had not put those
• 36:41
  Speaker 1: twos together. I think a lot about these things. I
• 36:44
  Speaker 1: had not put those things together. You're saying artificial intelligence
• 36:50
  Speaker 1: has been around, Well, you've been INVESTIGATID. You guys have
• 36:53
  Speaker 1: been investing in it for two decades. But it's been around,
• 36:55
  Speaker 1: and it's even embedded in the thing that we use
• 36:57
  Speaker 1: every day, which is social media. That's correct.
• 37:00
  Speaker 2: Yes, so it's been around for at least seventy years. Yeah,
• 37:07
  Speaker 2: seven zero. Yeah, So its abilities changed, like when when
• 37:14
  Speaker 2: the term artificial intelligence was coined, and when they worked
• 37:17
  Speaker 2: on the first AI algorithms, they were very mediocre, and
• 37:22
  Speaker 2: you know, they started evolving. So you know, at one
• 37:25
  Speaker 2: point of time, artificial intelligence algorithm was able to be
• 37:30
  Speaker 2: the world champion in chess, and people thought that that
• 37:33
  Speaker 2: was the end of the world, and then it really
• 37:35
  Speaker 2: phizzled out. Then it beat the world champion in jeopardy,
• 37:39
  Speaker 2: which required a different set of intelligence. It's not just
• 37:42
  Speaker 2: being able to work out certain set moves on the board,
• 37:45
  Speaker 2: but actually answer questions about different things like, for example,
• 37:49
  Speaker 2: cultural questions and historic questions and social related questions as possible.
• 37:54
  Speaker 2: So it has been evolving. One thing you need to
• 37:57
  Speaker 2: know is. You know, it's not just social media is AI.
• 38:01
  Speaker 2: Social media is AI, Yes, that is correct, Search, Google
• 38:05
  Speaker 2: is AI, YouTube's AI. Everything that you use, like your
• 38:10
  Speaker 2: devices today and they have been for a number of years,
• 38:14
  Speaker 2: have been powered by a form of AI code recommendation engines.
• 38:18
  Speaker 2: And what recommendation engines were where if you go on
• 38:22
  Speaker 2: for example, sometimes you'd go on Facebook or on Instagram
• 38:27
  Speaker 2: and suddenly you see a picture of someone and you'll
• 38:30
  Speaker 2: be like, I've been meaning to talk to this person.
• 38:34
  Speaker 2: That's the recommendation engine at work. It sees your trends,
• 38:38
  Speaker 2: it sees what you search for, it sees what you're
• 38:40
  Speaker 2: interested in, and then tries to give you things that
• 38:44
  Speaker 2: will keep you on the platform for longer. So it
• 38:47
  Speaker 2: has one sole purpose. Its sole purposes, how do I
• 38:51
  Speaker 2: maximize the amount of time that you spend on the platform? Yeah,
• 38:56
  Speaker 2: and to achieved it started then there are companies that
• 38:59
  Speaker 2: used the same algorithm but change the target from how
• 39:04
  Speaker 2: do I maximize the amount of time that you have
• 39:06
  Speaker 2: on this platform to how do I maximize the money
• 39:10
  Speaker 2: spent from your pocket on the items that are marketed
• 39:14
  Speaker 2: on my platform? So John ho'brien likes, for example, books,
• 39:19
  Speaker 2: how do I why he's scrolling doom scrolling through Instagram
• 39:23
  Speaker 2: or doom scrolling through Facebook or TikTok or whatever platform
• 39:26
  Speaker 2: you use. How do I keep positioning contents related to
• 39:31
  Speaker 2: books in such a way that John spends the most
• 39:34
  Speaker 2: amount of money. These algorithms know which day you're in
• 39:39
  Speaker 2: the best of moods. These algorithms know when your salary
• 39:43
  Speaker 2: is deposited in your bank account based on your spending patterns.
• 39:47
  Speaker 2: These algorithms know you know when if you see something,
• 39:51
  Speaker 2: you're more likely to click on it. So that's let's
• 39:54
  Speaker 2: say the form of AI that we were dealing with
• 39:56
  Speaker 2: since two thousand and eight.
• 39:57
  Speaker 1: Or you're taking a pause right there on that point,
• 40:00
  Speaker 1: you can take a chat chept as example, can take
• 40:03
  Speaker 1: a photo of my background or your If you want
• 40:07
  Speaker 1: to think about what a birthday gift or holiday gift
• 40:09
  Speaker 1: was for John O'Brien, you can take a photo.
• 40:11
  Speaker 3: Your assistant can take a photo well during this podcast episode.
• 40:15
  Speaker 1: Of my background, of this episode of including my background,
• 40:20
  Speaker 1: and say what books would John O'Brien most likely like
• 40:23
  Speaker 1: to read. I'd like to buy a book for him.
• 40:26
  Speaker 1: It can take a photo of this and look at
• 40:29
  Speaker 1: the books in the background. And recommend the book for
• 40:33
  Speaker 1: John Brian to read, which I found just I find this.
• 40:36
  Speaker 1: I mean, that's a very rudimentary, basic example of its power,
• 40:42
  Speaker 1: its recommendation, and that's a really as you say, that's
• 40:46
  Speaker 1: really a basic form of AI.
• 40:49
  Speaker 2: So can I can I make it even maybe scarier
• 40:52
  Speaker 2: or or you know, more exciting for your audience? You
• 40:55
  Speaker 2: do need to do that anymore. I can actually go
• 40:58
  Speaker 2: to because charge ept and Grog and these platforms are
• 41:03
  Speaker 2: not a recommendation and just their large language models, I
• 41:06
  Speaker 2: can actually go to Grog and tell it and then
• 41:09
  Speaker 2: like every single tweet that John O'Brien has written, tell
• 41:13
  Speaker 2: me what books he's most likely to be interested in.
• 41:17
  Speaker 2: And I don't need to see your background. So even
• 41:20
  Speaker 2: if you have someone who has never posted anything off
• 41:25
  Speaker 2: his background of their homes, based on the content that
• 41:29
  Speaker 2: they publish the text, you can actually do the same,
• 41:32
  Speaker 2: by the way, for their Instagram, like you're going to say,
• 41:34
  Speaker 2: you go through all these pictures, tell me what are
• 41:38
  Speaker 2: things that he would like? So you can do the text,
• 41:41
  Speaker 2: you can do the voice, you can do with images,
• 41:44
  Speaker 2: and you can also reach to a point where you
• 41:47
  Speaker 2: can psychologically deconstruct that person. So I can you start
• 41:53
  Speaker 2: understanding how you think, what you like, how I can
• 41:56
  Speaker 2: start a conversation with you. And this is the scary
• 42:00
  Speaker 2: part of AI, the fact that it is today your psychiatrist,
• 42:05
  Speaker 2: it's your psychologist, it's your lover, it's your friend, it's
• 42:09
  Speaker 2: your second secretary, it's all of these things combined, and
• 42:14
  Speaker 2: it's a tool. And this tool, if wielded by the
• 42:17
  Speaker 2: right people, they're going to make your lives better by
• 42:20
  Speaker 2: the right by the right people, and if wielded by
• 42:23
  Speaker 2: the wrong people, it's going to make you miserable. You're
• 42:26
  Speaker 2: going to go in debt by buying things that you
• 42:29
  Speaker 2: don't want to buy, and they will convince you that
• 42:31
  Speaker 2: these are the things that you need to buy. They're
• 42:33
  Speaker 2: going to make you depressed or miserable, or they're going
• 42:37
  Speaker 2: to make you happy. And to the extent where certain
• 42:40
  Speaker 2: people fall in love with these algorithms. So you know,
• 42:42
  Speaker 2: there are circumstances that have been public on the media.
• 42:45
  Speaker 2: You can see them of certain people that got married
• 42:48
  Speaker 2: to chug epts. So they created an agent that you
• 42:52
  Speaker 2: know they were so would buy they felt like their
• 42:55
  Speaker 2: partner in life. Now these are extreme examples, but this
• 42:59
  Speaker 2: is just because imagine when we evolve into a world
• 43:03
  Speaker 2: where you know, you make a phone call. Actually, I
• 43:07
  Speaker 2: need to tell you about a thing that happened a
• 43:11
  Speaker 2: year ago. So a year or two years ago, a
• 43:15
  Speaker 2: group of hackers created a boat that was so effective
• 43:19
  Speaker 2: for restaurant owners that it created havoc in certain parts
• 43:23
  Speaker 2: of the US. So what they did was they created
• 43:28
  Speaker 2: the algorithm that goes on dating websites can act like
• 43:34
  Speaker 2: a woman or a man and make you chat with
• 43:38
  Speaker 2: them and you want to get to know them, then
• 43:41
  Speaker 2: tell you we would meet you at a certain restaurant.
• 43:44
  Speaker 2: They would let you go to the restaurant, make a
• 43:47
  Speaker 2: phone call and tell you I'm running late, can you
• 43:49
  Speaker 2: order the lobster or the stake for me or whatever
• 43:51
  Speaker 2: until I come and really disappear. And what they did
• 43:55
  Speaker 2: with that was they actually started convincing restaurant owners, if
• 43:59
  Speaker 2: you use this, you're going to have certain people come
• 44:02
  Speaker 2: to you and order of expensive dishes. Wow, and it's
• 44:06
  Speaker 2: increased traffic. So they would go on platforms, like you
• 44:09
  Speaker 2: know they think platforms and so and so forth to
• 44:12
  Speaker 2: start to scam people and to go in and ordering
• 44:15
  Speaker 2: two steaks or too loves us. That was a silly
• 44:18
  Speaker 2: example that was possibly two years ago. Imagine what's happened
• 44:22
  Speaker 2: next five years?
• 44:24
  Speaker 1: Yes, yes, and so let's for the audience. This is
• 44:28
  Speaker 1: back up a little bit. We covered a lot of
• 44:29
  Speaker 1: ground here. We talked about social media. We're talking about
• 44:32
  Speaker 1: this seventy has been around seventy years. Governments use this, uh,
• 44:38
  Speaker 1: seventy years ago. This has been used to do you
• 44:40
  Speaker 1: know early you know, sort of psychology on steroids, if
• 44:44
  Speaker 1: you will, psychological analysis, let's go. Then it was sort
• 44:47
  Speaker 1: of commercialized, and we've had recommendation engines which we use
• 44:52
  Speaker 1: in our everyday life and people use it like you know,
• 44:56
  Speaker 1: eating a banana or you know, having lunch and dinner.
• 44:59
  Speaker 3: I think it'smpletely normal, the recommendation engines.
• 45:02
  Speaker 1: And people often say, uh, I was just thinking about
• 45:07
  Speaker 1: that person. How did that pop up? Or how they
• 45:09
  Speaker 1: know I want to buy that thing? Here you go,
• 45:11
  Speaker 1: here's your answer. And why are people now it's so
• 45:13
  Speaker 1: addicted to social media. We talked about that, cover that ground,
• 45:17
  Speaker 1: and we talked about generative AI a little bit, and
• 45:22
  Speaker 1: and now you know, we're about to go into uh,
• 45:25
  Speaker 1: more fascinating and more scary forms of artificial intelligence. And
• 45:33
  Speaker 1: it really depends on who's in whose hands the sid
• 45:39
  Speaker 1: and I don't want to get too far afield. I
• 45:40
  Speaker 1: take a funny take a funny detour, but an interesting detour.
• 45:44
  Speaker 1: I think that AI is going to be very helpful
• 45:49
  Speaker 1: for a relationship in the sense that you'll be able
• 45:51
  Speaker 1: to maybe understand maybe what your mate is thinking and
• 45:56
  Speaker 1: and try to bridge through communication to her or him
• 45:59
  Speaker 1: versus making assumptions. But it also I did create problems
• 46:03
  Speaker 1: for relationships because when you could buy AI with robotics
• 46:08
  Speaker 1: and this partner does not argue with you anymore, that's
• 46:12
  Speaker 1: a whole other conversation with Another day, I was at
• 46:15
  Speaker 1: the airport in Amsterdam and a wheelchair came up passed
• 46:18
  Speaker 1: me and said excuse me, and I turned around looking
• 46:20
  Speaker 1: for a human and it was It was robotics. It
• 46:24
  Speaker 1: was a very low AI driven model, but this this
• 46:29
  Speaker 1: wheelchair was usually be pushed by human, was automated and
• 46:34
  Speaker 1: was going to take somebody just posts dropped somebody off
• 46:36
  Speaker 1: at a gate at the airport and was on their
• 46:39
  Speaker 1: way back to its docking station and passed by me
• 46:43
  Speaker 1: and said please excuse me, I'm sorry, and docked itself.
• 46:47
  Speaker 1: And those jobs that used to be tied to somebody
• 46:50
  Speaker 1: pushing that wheelchair. Those jobs are gone. So the customer
• 46:54
  Speaker 1: service jobs, the low entry jobs, anything can be sort
• 46:59
  Speaker 1: of automated, and I think that had a lot of
• 47:02
  Speaker 1: friction in them. Those jobs increasingly are gonna be gone.
• 47:05
  Speaker 1: I do believe it's gonna be new jobs on the
• 47:08
  Speaker 1: other end of this. It's gonna be a bridge period
• 47:10
  Speaker 1: of two to three years. But I do believe there'll
• 47:12
  Speaker 1: be really more interesting jobs that have not even been
• 47:16
  Speaker 1: created yet. But but your job's gonna be not gonna
• 47:18
  Speaker 1: be destroyed by AI. Your job's gonna be destroyed by
• 47:21
  Speaker 1: somebody who can You use AI, and you need to
• 47:23
  Speaker 1: be a person using it. And I think this opportunity
• 47:26
  Speaker 1: for the underserved. I just talked about a lot right there,
• 47:29
  Speaker 1: but I want to come back to general. AI is
• 47:32
  Speaker 1: what people are using right now. Sam Autman and I
• 47:37
  Speaker 1: have talked about this way cure cancer in ten years.
• 47:42
  Speaker 2: Okay.
• 47:43
  Speaker 1: It also there's a two percent chance that it might
• 47:46
  Speaker 1: end the world. I mean not literally hopefully, but I
• 47:49
  Speaker 1: mean in other words, it can be used for very
• 47:52
  Speaker 1: destructive means by bad people. We need to make sure
• 47:56
  Speaker 1: that folks like you and people like you that you
• 47:58
  Speaker 1: and I know continue to be on the cutting edge
• 48:01
  Speaker 1: of this technology and using it as a force for good.
• 48:03
  Speaker 3: You take that in any direction you want to hear.
• 48:05
  Speaker 4: It with the conversation. But I want to make sure
• 48:12
  Speaker 4: that people know that this is a transformational moment.
• 48:17
  Speaker 3: They've already been in it. As you've already said it.
• 48:20
  Speaker 3: We cannot wait.
• 48:22
  Speaker 1: This is this is We are in this historic moment,
• 48:25
  Speaker 1: and we've got to be part of the future because
• 48:28
  Speaker 1: the future is here whether we like it or not.
• 48:31
  Speaker 2: So so let me unpact this. I've been taking a
• 48:34
  Speaker 2: few notes just to try to make sure that I
• 48:37
  Speaker 2: cover as much gland as I can on what you said.
• 48:41
  Speaker 2: So let me start off by saying this. It is
• 48:45
  Speaker 2: extremely exciting. It's both exciting and skarty, but I think
• 48:47
  Speaker 2: it's more exciting. Agreed that we agree that we are
• 48:52
  Speaker 2: today the first generation of something. So we are the
• 48:57
  Speaker 2: first generation of humanity. So you know, one point of time,
• 49:00
  Speaker 2: the first generation that has ever flown, the first generation
• 49:04
  Speaker 2: that has experienced electricity, the first generation that has experienced fire,
• 49:08
  Speaker 2: and so on and so forth. Oil or oil, Yes,
• 49:12
  Speaker 2: So it's incredible that we are the first generation that
• 49:17
  Speaker 2: have already experienced intelligence beyond human Yes, And what that
• 49:24
  Speaker 2: will unpack is going it's going to unpack a lot
• 49:26
  Speaker 2: of things. But the exciting part is we are the
• 49:28
  Speaker 2: ones that are going to go through this journey, and
• 49:31
  Speaker 2: I think we are going to set the rules for
• 49:34
  Speaker 2: those who come after us. So what we do, if
• 49:37
  Speaker 2: we do it well, is going to reshape humanity and
• 49:42
  Speaker 2: future generations in a positive way. If we take shortcuts
• 49:46
  Speaker 2: and if we ignore the burden that's on our shoulders, unfortunately,
• 49:50
  Speaker 2: it is going to, you know, be a chatter that
• 49:53
  Speaker 2: people are going to look back at and say, these
• 49:55
  Speaker 2: people haven't done a good job and you know they
• 49:57
  Speaker 2: were lazy, or they were negligent or so and so forth. Yes,
• 50:00
  Speaker 2: the second thing I want to say, I don't think
• 50:03
  Speaker 2: it's a conversation of you know, you want to lose
• 50:06
  Speaker 2: your job to AI, you lose your job to someone
• 50:09
  Speaker 2: who's using AI. That is true, But there's another thing
• 50:13
  Speaker 2: as well that's even more broad here and more important.
• 50:18
  Speaker 2: Throughout history, your advantage was years lived, So the more
• 50:24
  Speaker 2: experience that you have, the more of an advantage that
• 50:28
  Speaker 2: you have. Or the first time in history, your advantage
• 50:33
  Speaker 2: is speed of learning, regardless of your age. So the
• 50:37
  Speaker 2: speed in which you're able to learn how to utilize
• 50:42
  Speaker 2: this technology or learn how to react to it, or
• 50:47
  Speaker 2: learn to find the opportunities that are created because of
• 50:51
  Speaker 2: it or with it. The faster, the more opportunities that
• 50:56
  Speaker 2: you will have, the greater your possibilities. Up until this point,
• 51:03
  Speaker 2: at any point of time, the advantage that you had
• 51:07
  Speaker 2: was years lived. So a person with more experience and
• 51:11
  Speaker 2: years lived with that experience, not sorry, so years lived
• 51:15
  Speaker 2: with that experience, not years lived in twos. Like you know,
• 51:18
  Speaker 2: someone who was pushing wheelchairs, for example, for ten years,
• 51:22
  Speaker 2: had the advantage to someone who was pushing wheelchairs. Let's
• 51:25
  Speaker 2: say for a day today, with speed of learning, you're
• 51:29
  Speaker 2: able to understand what AI has not been applied to
• 51:33
  Speaker 2: that you can apply AI to. You're able to learn
• 51:38
  Speaker 2: what AI is going to take in terms of jobs,
• 51:40
  Speaker 2: and you know, maybe react to that and so and
• 51:42
  Speaker 2: so forth. Yes, the final thing I'm going to say,
• 51:46
  Speaker 2: I don't think again, this is a statement that you
• 51:48
  Speaker 2: meet and these are different points of view. I don't
• 51:51
  Speaker 2: know who's going to be right, whether it's going to
• 51:53
  Speaker 2: be me or you. But a very very important point
• 51:57
  Speaker 2: is I actually don't think the entry jobs are going
• 52:06
  Speaker 2: to be lost first, So it's not going to be
• 52:10
  Speaker 2: the waiter in a restaurant. It's not going to be
• 52:14
  Speaker 2: the customer service represented as sitting on front of the
• 52:18
  Speaker 2: front desk and reception. I actually think that the consultants,
• 52:22
  Speaker 2: the people in business suits are going to lose their jobs. First.
• 52:24
  Speaker 1: The middle income jobs, well, those are going Those are
• 52:27
  Speaker 1: the ones are going at scale in the US right now.
• 52:29
  Speaker 2: Actually even high income jobs. So I don't think any
• 52:33
  Speaker 2: job is particularly safe. What the equation I would use
• 52:39
  Speaker 2: for you to see whether a job is going to
• 52:41
  Speaker 2: be lost or not is the economics of replacing that job.
• 52:45
  Speaker 2: So if I'm paying someone five dollars an hour and
• 52:50
  Speaker 2: the AI cost me fifteen dollars an hour to run
• 52:53
  Speaker 2: because of the electricity, the infrastructure, the chips, the models,
• 52:57
  Speaker 2: and so so forth, a subscription fee that I need
• 52:59
  Speaker 2: to pay for it, I don't think I'm going to
• 53:01
  Speaker 2: replace that job. But a lawyer that charges me one
• 53:04
  Speaker 2: thousand dollars an hour, if I can replace that of
• 53:06
  Speaker 2: THEI that costs me, you know, twenty dollars an hour,
• 53:09
  Speaker 2: I would do that. And you know whoever does that
• 53:11
  Speaker 2: as a solution is going to be someone who makes
• 53:16
  Speaker 2: a huge amount of money. The consultant, the lawyer, the architect,
• 53:20
  Speaker 2: the you know, the thinking jobs. Now you're gonna tell
• 53:26
  Speaker 2: me what are these people going to do? And my
• 53:28
  Speaker 2: answer is human tastes is going to evolve. Human even
• 53:32
  Speaker 2: our laws are going to keep evolving and improving. But
• 53:35
  Speaker 2: what is going to happen is throughout history, as we
• 53:39
  Speaker 2: grew as a civilization, as a humanity, the jobs that
• 53:45
  Speaker 2: were required were increased because the number of users, so
• 53:48
  Speaker 2: scaling up was increased right over time. Now what's going
• 53:52
  Speaker 2: to happen is AI is going to the scale the
• 53:53
  Speaker 2: niche to the frontier. Those the John Hope Pryans of
• 53:57
  Speaker 2: the world that require legal counsel that is able to
• 54:00
  Speaker 2: think of something that's on the cutting edge are going
• 54:03
  Speaker 2: to require less lawyers that are more highly paid that
• 54:06
  Speaker 2: are able to just research the frontier. And that is
• 54:12
  Speaker 2: what governments need to maneuver. A government like the UE,
• 54:15
  Speaker 2: by the way, is there's an advantage in this world
• 54:17
  Speaker 2: because we don't have a billion people. We have a
• 54:21
  Speaker 2: young population, and we are already planning for that point
• 54:26
  Speaker 2: of time. So one thing that we've done. I don't
• 54:27
  Speaker 2: know if any other government has done this already, but
• 54:29
  Speaker 2: I can share this in confidence with you. I think
• 54:33
  Speaker 2: it's going to come out by the time your show airs.
• 54:36
  Speaker 2: So we've mapped out every single job in the government
• 54:39
  Speaker 2: that is going to be lost because of AI, and
• 54:41
  Speaker 2: we've brought each job in a criteria whether it's going
• 54:47
  Speaker 2: to disappear, whether it's going to be augmented, or whether
• 54:50
  Speaker 2: it's going to be unaffected. And then we mapped out
• 54:53
  Speaker 2: the age group of every single person that's in every
• 54:56
  Speaker 2: single job that is at every single one of those positions.
• 55:00
  Speaker 2: One thing that you need to keep in mind. Someone
• 55:02
  Speaker 2: who's you know, in their sixties or under their fifties,
• 55:05
  Speaker 2: that is nearing retirement, whose job is going to be augmented,
• 55:09
  Speaker 2: needs to be given a choice. Do you want to
• 55:11
  Speaker 2: be reskilled and continue to work in this job, or
• 55:14
  Speaker 2: to work in a job, or do you want to
• 55:15
  Speaker 2: have an earlier retirement. It's cheaper for you to offer
• 55:18
  Speaker 2: in the early retirement and let them enjoy life. Someone
• 55:21
  Speaker 2: who's young, who's just come into the work workforce, if
• 55:25
  Speaker 2: they have one year of experience and their job is
• 55:27
  Speaker 2: going to be completely displaced because of AI, you need
• 55:29
  Speaker 2: to invest whatever amount of money to take them into
• 55:32
  Speaker 2: a position that is going to be created because of
• 55:33
  Speaker 2: this AI revolution. So that's what I think is going
• 55:37
  Speaker 2: to happen. M H.
• 55:39
  Speaker 1: We actually don't disagree. Two things can be true at
• 55:43
  Speaker 1: the same time. And I was intentionally provocative so that
• 55:46
  Speaker 1: that get that beautiful brain of yours moving in several
• 55:49
  Speaker 1: directions at the same time. I do believe they're going
• 55:52
  Speaker 1: to have We're going to have disruption, but that is
• 55:55
  Speaker 1: not necessarily mean distruction. I think there's going to be
• 55:57
  Speaker 1: also construction and reimagine. Uh, there was a time that
• 56:02
  Speaker 1: we all used long form math. We wrote it out.
• 56:04
  Speaker 1: Then you had a long form calculator. Then you had
• 56:07
  Speaker 1: a simple calculator. Then you just had something on the computer.
• 56:10
  Speaker 1: When you you you know, you did some then you
• 56:13
  Speaker 1: now you've asked, you ask a computer or AI.
• 56:15
  Speaker 3: What does this add up to? You're in the best
• 56:19
  Speaker 3: form of that world you use it.
• 56:20
  Speaker 1: You're freeing your brain to do more complicated, more interesting things.
• 56:25
  Speaker 2: Uh.
• 56:25
  Speaker 1: In the worst form of that, you're becoming dumber if
• 56:27
  Speaker 1: you don't make sure you understand simple math. So we
• 56:30
  Speaker 1: need to make sure that people are excited about their future,
• 56:33
  Speaker 1: that they are passionate about learning as you and I are,
• 56:37
  Speaker 1: that they the glasses either half full or half empty.
• 56:40
  Speaker 1: It's the same glass depends how you looking at it.
• 56:42
  Speaker 1: We are optimists. You and I are optimists. We believe
• 56:45
  Speaker 1: in the future. I believe AI is going to be
• 56:48
  Speaker 1: transformationally beautiful. I really do. It's when I first heard
• 56:52
  Speaker 1: about it, it scared the bejeebers out of me. And
• 56:54
  Speaker 1: I'm not scared of anything, and just I didn't understand.
• 56:57
  Speaker 1: I could not put my hand around this thing that
• 57:00
  Speaker 1: just showed up in my life as a present reality.
• 57:05
  Speaker 1: And the more I learn about it, the more comfortable
• 57:07
  Speaker 1: I get. I use it as a co creator with.
• 57:10
  Speaker 3: Me as an agent, if you will, every day.
• 57:14
  Speaker 1: But I'm in charge, and I think this is where
• 57:15
  Speaker 1: I want to sort of by again, maybe wrap a
• 57:17
  Speaker 1: conversation up is as we go forward, give you will
• 57:20
  Speaker 1: some hope. We've launched something called Hope AI here in
• 57:25
  Speaker 1: the US. We want to have Hope AI global, by
• 57:27
  Speaker 1: the way, so we'll be talking with you about that.
• 57:30
  Speaker 1: I do believe that the real GDP untapped opportunity in
• 57:35
  Speaker 1: the world. I think it's about two to three percent
• 57:37
  Speaker 1: of untapped annual GDP in the US from the underserved populations.
• 57:41
  Speaker 3: I believe that numbers double or triple in Africa.
• 57:44
  Speaker 1: And the Middle East, Asia, India, parts of Europe that
• 57:50
  Speaker 1: is not in other words, the suburban, the suburbs where
• 57:54
  Speaker 1: poor people live who are not that been utilized. I
• 57:57
  Speaker 1: think that everything you mentioned something earlier Menster you said
• 58:01
  Speaker 1: in his last round of conversation, you said AI everything.
• 58:06
  Speaker 1: I'm paraphrasing. I believe everything's going to be retouched. So
• 58:11
  Speaker 1: AI and literally AI and computer screens. How do you
• 58:14
  Speaker 1: manufacture those? How do you think about those? How do
• 58:16
  Speaker 1: you process AI? And book manufacturing, AI and book marketing AI,
• 58:22
  Speaker 1: AI and in you know, energy drinks and AI, AI
• 58:29
  Speaker 1: in the computer stands, he AI and furniture AI and
• 58:33
  Speaker 1: everything AI and websites. If you had a website five
• 58:38
  Speaker 1: years ago as a small business owner, you spent five
• 58:40
  Speaker 1: hundred dollars on it. Sorry sorry, you spent five thousand
• 58:43
  Speaker 1: or twenty five thousand dollars on it. You can do
• 58:45
  Speaker 1: that for five hundred dollars today with somebody who is
• 58:48
  Speaker 1: an AI innovator.
• 58:49
  Speaker 3: And they it might cost them fifty bucks. It's made
• 58:52
  Speaker 3: a profit of four hundred and fifty bucks.
• 58:54
  Speaker 1: And you can redo everybody's website in that small town
• 58:58
  Speaker 1: or that village, that the area and become a millionaire
• 59:02
  Speaker 1: because the last time they did a website it costs
• 59:04
  Speaker 1: them twenty five thousand or five thousand, and it did
• 59:07
  Speaker 1: not have AI and automation in it. So that's one
• 59:09
  Speaker 1: example that we want to upskill people to AI futures.
• 59:15
  Speaker 3: Train them in as this thing involves.
• 59:18
  Speaker 1: I think that's an enormous opportunity to help people become
• 59:21
  Speaker 1: the best forms of themselves and stabilize communities and get
• 59:25
  Speaker 1: people an agency in their own life. So I am
• 59:29
  Speaker 1: optimistic of the future. I want to throw this back
• 59:31
  Speaker 1: to you as we wrap this up.
• 59:34
  Speaker 2: How do you.
• 59:35
  Speaker 3: See you just heard my vision of the future.
• 59:38
  Speaker 1: People can focus on the fear and be immobilized by
• 59:43
  Speaker 1: it and all that you can't control, or you can
• 59:46
  Speaker 1: focus on have faith and focus on the future. My
• 59:49
  Speaker 1: middle names hope and focus on the future. We've society
• 59:52
  Speaker 1: has managed in five billion years of this world and
• 59:56
  Speaker 1: four billion years of organism of life, and few hundred
• 59:58
  Speaker 1: main years of of human life and two hundred thousand
• 1:00:02
  Speaker 1: years of modern human and six thousand years of enlightenment.
• 1:00:04
  Speaker 3: We've managed to fall forward.
• 1:00:06
  Speaker 1: We've managed to meet our challenges and to evolve. I
• 1:00:11
  Speaker 1: believe we'll meet this one as well, and I do
• 1:00:14
  Speaker 1: believe I agree with you. This moment is historic and
• 1:00:18
  Speaker 1: what leaders like like you and I do more you
• 1:00:20
  Speaker 1: than me, matters to future generations, not just this one.
• 1:00:25
  Speaker 1: We've got to get it right. What are some of
• 1:00:27
  Speaker 1: the opportunities that you see for this audience to think
• 1:00:30
  Speaker 1: about that they might think about as they're wrapping this conversation.
• 1:00:35
  Speaker 1: We're wrapping this conversation up. What do they hold on
• 1:00:37
  Speaker 1: to as this is evolving and being created in real time?
• 1:00:42
  Speaker 1: And maybe we continue this conversation with the future podcast.
• 1:00:46
  Speaker 1: And I'm coming to the UAE, by the way, in
• 1:00:48
  Speaker 1: early twenty six for your World Government summit. What are
• 1:00:53
  Speaker 1: some things that you'd like them, the audience, to think about,
• 1:00:57
  Speaker 1: to dream about, to move on that might give them
• 1:01:01
  Speaker 1: opportunities for themselves in the future. I believe humans will
• 1:01:05
  Speaker 1: have a wonderful place to play in the future of AI,
• 1:01:08
  Speaker 1: by the way.
• 1:01:10
  Speaker 2: So the first point I'm going to say, and look,
• 1:01:13
  Speaker 2: I don't like to disagree with you, and I don't
• 1:01:16
  Speaker 2: think we disagree on anything. We agree on nearly everything,
• 1:01:20
  Speaker 2: which is great. But one thing I would tell you
• 1:01:22
  Speaker 2: is I'm not optimistic about artificial intelligence, and I am
• 1:01:26
  Speaker 2: not pessimistic about artificial intelligence. In my position, a person
• 1:01:31
  Speaker 2: that is running this from a government mandate perspective, my
• 1:01:35
  Speaker 2: job is to sit in limited. My job is not
• 1:01:37
  Speaker 2: to be over blinded by the glitter and you know,
• 1:01:41
  Speaker 2: the fancy things about AI, and my job isn't to
• 1:01:44
  Speaker 2: be a pessimist that thinks it's going to be doom
• 1:01:46
  Speaker 2: and gloom. I think, you know, a government commission needs
• 1:01:50
  Speaker 2: to be balanced. However, if I were looking at this
• 1:01:54
  Speaker 2: from an individual perspective, a person that is looking at
• 1:01:58
  Speaker 2: how this will relate to them. So if I were
• 1:02:01
  Speaker 2: in your shoes, I would absolutely agree with you and
• 1:02:04
  Speaker 2: think the way that you're thinking because this is a
• 1:02:08
  Speaker 2: once not just in a lifetime. I think this is
• 1:02:11
  Speaker 2: a once in a millennia opportunity.
• 1:02:14
  Speaker 3: We have the.
• 1:02:16
  Speaker 2: Opportunity to do things that you know, being the first
• 1:02:20
  Speaker 2: generation to deal with something that is intelligence that's beyond
• 1:02:24
  Speaker 2: human is a very interesting perspective and a very interesting prospect. Now,
• 1:02:31
  Speaker 2: does it mean that it's going to be good or bad?
• 1:02:34
  Speaker 2: What would determine whether it's good or bad? And I'll
• 1:02:36
  Speaker 2: tell you why you need to be excited is if
• 1:02:39
  Speaker 2: enough good people are excited about AI and what potentially
• 1:02:43
  Speaker 2: brings with it, and they go and they build this
• 1:02:46
  Speaker 2: technology will be built in their image, it will be
• 1:02:49
  Speaker 2: built in their value system. It's going to be built
• 1:02:52
  Speaker 2: with their ethos. And that's going to be a good
• 1:02:55
  Speaker 2: technology if the good people are all scared of it
• 1:02:59
  Speaker 2: and say, you know, I don't want to touch this
• 1:03:01
  Speaker 2: because you know, I worry that this is going to
• 1:03:03
  Speaker 2: under world, and the bad people are the ones that
• 1:03:05
  Speaker 2: build it. It's going to be deep fakes, it's going
• 1:03:08
  Speaker 2: to be autonomous weapons. It's going to be a destructive
• 1:03:11
  Speaker 2: technology that destroys the world. Now, one thing that I
• 1:03:15
  Speaker 2: will tell anyone that's listening to this, and you know,
• 1:03:18
  Speaker 2: anyone that I meet on this, there were equations that
• 1:03:22
  Speaker 2: have shaped every you know, boom and every gold rush
• 1:03:26
  Speaker 2: and every development a hockey stick, you know leap in
• 1:03:31
  Speaker 2: terms of human development throughout history, and that equation changed
• 1:03:36
  Speaker 2: from time to time. The last one hundred and fifty years,
• 1:03:39
  Speaker 2: the equation was energy plus X. So if you had
• 1:03:43
  Speaker 2: every single person that has created a product or a
• 1:03:47
  Speaker 2: company over the last one hundred and fifty years that
• 1:03:51
  Speaker 2: have changed the world, it was energy plus something. And
• 1:03:53
  Speaker 2: energy was actually electricity or a form of energy. So
• 1:03:58
  Speaker 2: the person who built the car or the automobile. It
• 1:04:01
  Speaker 2: was energy, which is the form of combustion and fuel
• 1:04:05
  Speaker 2: plus wheels. You completely change the world. You mean, people
• 1:04:09
  Speaker 2: be able to travel, to travel longer, to travel better,
• 1:04:13
  Speaker 2: and to really reshape cities and the world that we
• 1:04:17
  Speaker 2: know it. Energy plus a bulb created lights, so we
• 1:04:22
  Speaker 2: were able to turn darkness into light. Energy plus you know,
• 1:04:27
  Speaker 2: letters or connectivity created the Internet and created a way
• 1:04:31
  Speaker 2: for us to communicate, you know, through continents. This competition
• 1:04:35
  Speaker 2: that we're having right now. One hundred and fifty years ago,
• 1:04:38
  Speaker 2: it was a form of magic. No one could believe
• 1:04:41
  Speaker 2: that you could see someone and talk to people instantaneously
• 1:04:44
  Speaker 2: across thousands of miles. Now, the equation for the next
• 1:04:49
  Speaker 2: not even one hundred and fifty years. I think the
• 1:04:51
  Speaker 2: next fifty years or even less is going to be
• 1:04:53
  Speaker 2: intelligence plus x. Someone is going to get why not
• 1:04:58
  Speaker 2: be you the intelligence plus x. There is going to
• 1:05:01
  Speaker 2: be intelligence plus everything around us. I'll give you a
• 1:05:04
  Speaker 2: very rude, ventary example and something very silly, but you
• 1:05:07
  Speaker 2: understand the impact. Energy plus carpet. So a carpet with
• 1:05:12
  Speaker 2: electricity is a treadmill. Treadmills are a hundred million plus
• 1:05:18
  Speaker 2: or a few billion plus dollar business globally. Right, So
• 1:05:22
  Speaker 2: someone thought of if I just take a carpet and
• 1:05:26
  Speaker 2: add a motor that keeps moving it, that will create
• 1:05:29
  Speaker 2: something that changes people's lives. Today, someone needs to think
• 1:05:34
  Speaker 2: about intelligence plus that. Intelligence plus everything. Intelligence plus your
• 1:05:40
  Speaker 2: bed eight sleep is a good example of that. Like
• 1:05:43
  Speaker 2: a bed that heats and cools and ensure that you
• 1:05:46
  Speaker 2: have the optimal sleep. That's intelligence plus bed right or
• 1:05:50
  Speaker 2: bed sheets. There is going to be a huge gold
• 1:05:54
  Speaker 2: rush and it's not going to create billionaires. It's going
• 1:05:58
  Speaker 2: to create thrilliinears, the last gold rush created millionaires, then
• 1:06:03
  Speaker 2: billion years. This gold rush is going to create tin years.
• 1:06:07
  Speaker 2: I think that there is someone that may be listening
• 1:06:09
  Speaker 2: to this, or might be told about this by someone
• 1:06:13
  Speaker 2: around them, that is going to embrace that idea and
• 1:06:17
  Speaker 2: change the world. That's what's me.
• 1:06:21
  Speaker 1: You know, this has been fabulous, and we have to
• 1:06:23
  Speaker 1: let you get back to helping to run part of
• 1:06:27
  Speaker 1: this government, which is one of the most innovative and
• 1:06:31
  Speaker 1: thoughtful in the world. So we're going I'll let you
• 1:06:32
  Speaker 1: get go back to your job, but I want to
• 1:06:34
  Speaker 1: thank you. There were two ways that we could have
• 1:06:37
  Speaker 1: done this interview, the traditional way and you ask them
• 1:06:41
  Speaker 1: very pretty boring questions and you get pretty boring standard answers,
• 1:06:44
  Speaker 1: and the audience is left no better. The second way
• 1:06:47
  Speaker 1: is because we're because we're new friends. You trust me
• 1:06:50
  Speaker 1: and I trust you, and like every good relationship, there's
• 1:06:53
  Speaker 1: constructive friction and because of that you go deeper. And
• 1:06:57
  Speaker 1: I want to thank you for trusting me uh and
• 1:07:00
  Speaker 1: giving a very rich set of answers to this audience
• 1:07:05
  Speaker 1: that I think is going to transform their lives. I
• 1:07:08
  Speaker 1: really do believe that this was an hour that if
• 1:07:12
  Speaker 1: someone listens to this and really listens to this, they
• 1:07:16
  Speaker 1: can replace their fear, replace it and replace it with faith.
• 1:07:20
  Speaker 1: They can replace their concern and replace it with hope.
• 1:07:24
  Speaker 1: They can replace their questions and replace it with a
• 1:07:27
  Speaker 1: business plan for their lives. And that is possible because
• 1:07:32
  Speaker 1: you took the time and you also had the courage
• 1:07:36
  Speaker 1: to dig deeper and talk about your family and talk
• 1:07:39
  Speaker 1: about your own personal failings and successes by falling forward
• 1:07:44
  Speaker 1: so that people can relate to that. I want to
• 1:07:47
  Speaker 1: thank you so much for not the position you hold
• 1:07:51
  Speaker 1: are the intelligence that you clearly have, but omar for
• 1:07:55
  Speaker 1: the humanity that you are. Thank you very much for
• 1:07:58
  Speaker 1: being a good person and share that humanity and that
• 1:08:01
  Speaker 1: intelligence with the audience and with the future of dreamers
• 1:08:08
  Speaker 1: yet unborn and the unrealized AI plus the future, intelligence
• 1:08:16
  Speaker 1: plus the future.
• 1:08:17
  Speaker 2: Thank you very much, Thank you, John. I'm just going
• 1:08:21
  Speaker 2: to conclude by saying, birds of a common feather flock together.
• 1:08:25
  Speaker 2: It takes one to know one. And I hope that
• 1:08:27
  Speaker 2: I live up to your expectations. And I hope to
• 1:08:30
  Speaker 2: continue this conversation in person in twenty twenty six and
• 1:08:34
  Speaker 2: hopefully maybe do a fallo up to this conversation sometime
• 1:08:37
  Speaker 2: in the future.
• 1:08:38
  Speaker 1: We'll be honored and by the way, you exceeded my expectations.
• 1:08:42
  Speaker 2: Just so you know, thank you my question.
• 1:08:45
  Speaker 3: Thank you all.
• 1:08:46
  Speaker 1: This has been Money and Wealth on iHeartRadio and Black
• 1:08:51
  Speaker 1: Effect Network. This is Money Wealth Podcast series season two.
• 1:08:55
  Speaker 1: One of the most important interviews I have ever done.
• 1:08:59
  Speaker 1: This is where the first Minister of AI in the
• 1:09:03
  Speaker 1: world for any government, Minister, Omar al Olama. His excellency
• 1:09:12
  Speaker 1: has empowered him to provide the framework holds for other
• 1:09:17
  Speaker 1: governments to pride a positive platform for future responsible growth,
• 1:09:26
  Speaker 1: a free enterprise and opportunity agency in the world. And
• 1:09:29
  Speaker 1: I'm honored to be associated with you. Through the AI
• 1:09:31
  Speaker 1: Ethics Council and all the work we're going to do
• 1:09:33
  Speaker 1: for humanity, going for it. Everybody, God blessed, and go
• 1:09:37
  Speaker 1: make a great day. Money and Wealth with John O'Brien
• 1:09:42
  Speaker 1: is a production of the Black Effect Podcast Network. For
• 1:09:46
  Speaker 1: more podcasts from the Black Effect Podcast Network, visit the
• 1:09:49
  Speaker 1: iHeartRadio app, Apple Podcasts, or wherever you listen to your
• 1:09:53
  Speaker 1: favorite shows.