Latest / Money And Wealth With John Hope Bryant / AI Won't Take Your Job, But Someone Who Can Use AI Might

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AI Won't Take Your Job, But Someone Who Can Use AI Might · Money And Wealth With John Hope Bryant

0:00
Speaker 1: Welcome to Money and Wealth with John Hobryant, a production
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Speaker 1: of the Black Effect Podcast Network and iHeartRadio. Hey Hey,
0:14
Speaker 1: it's John Hobryant, and this is the Money in Wealth
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Speaker 1: podcast series, Season three on iHeartRadio and Black Effect Network.
0:26
Speaker 1: And as you know, when I come at you direct,
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Speaker 1: it's a very important topic to me when I don't
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Speaker 1: have guests, and I'm coming to you also from around
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Speaker 1: the world.
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Speaker 2: Because I didn't want this topic to wait.
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Speaker 1: I am proud to announce today the launch of one
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Speaker 1: of the AI which is a first AI agent of
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Speaker 1: Operation Hope and specifically Hope AI, which is co chair
0:52
Speaker 1: between me and my brother Van Jones. And this is
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Speaker 1: the first product of Hope AI. Je Nita AI, the
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Speaker 1: first AI agent, inspired and named after my beloved and
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Speaker 1: now departed mother at least departed from this world, Jannita Smith,
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Speaker 1: who has been promoted gone on to a better place
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Speaker 1: to the right of the Father. But she's got work
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Speaker 1: to do still here on this earth, helping you to
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Speaker 1: transform your life. And she's going to do it from heaven.
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Speaker 1: Thanks to the power of artificial intelligence and the fact
1:34
Speaker 1: that I can as chairman, founder and CEO of this organization,
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Speaker 1: I have some influence to direct the organization to create
1:45
Speaker 1: this powerful program using this technology in her honor, which
1:51
Speaker 1: shows you the power also of ownership, of leadership, and
1:58
Speaker 1: of resourcing your dream. So let me start by making
2:04
Speaker 1: a provocative statement before I get into what oney to
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Speaker 1: AI will do for you, which is going to.
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Speaker 2: Be I believe a lot.
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Speaker 1: I think this is one of the most exciting things
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Speaker 1: we have ever done at Operation Hope. This one Need
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Speaker 1: to AI might help more people in one six month
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Speaker 1: or twelve month period than all the people we've helped,
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Speaker 1: which is millions over thirty three years. She's that powerful,
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Speaker 1: and she's inspired by my mother, our mother, Waneda Smith,
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Speaker 1: Maral Hoskin, my sister, Davion L.
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Speaker 2: Harris, my brother, and me.
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Speaker 1: And this leads me to another topic, which is, okay,
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Speaker 1: does this replace a topic of concerning you, which is
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Speaker 1: your job, your job, your career, your ability to make
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Speaker 1: a living, and whether AI is going to zer all
3:00
Speaker 1: that out. And I'm going to say to you the
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Speaker 1: same thing I'd say to my financial coaches and Operation Hope.
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Speaker 1: Your job is not going to be replaced by AI
3:10
Speaker 1: artificial intelligence, but your job might be replaced by somebody
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Speaker 1: who can use AI, and so your real job is
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Speaker 1: to embrace the future and see artificial intelligence as a
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Speaker 1: net positive, a co creator, a collaborator in your life.
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Speaker 1: AI is your assistant. AI is your research assistant. AI
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Speaker 1: is your health assistant. AI is your legal assistant, is
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Speaker 1: your accounting assistant. AI is as it is with me,
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Speaker 1: as I have an AI agent that I have created.
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Speaker 1: It's a private agent. So it's not like wanting to AI,
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Speaker 1: which is public facing. This was private to me, but
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Speaker 1: is a duplicate of me that helps me think about
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Speaker 1: really important and critical things even when I'm doing something else.
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Speaker 1: It can be here while I'm over there, so to speak.
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Speaker 1: Or it can go deep, deep into a topic and
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Speaker 1: think like I think.
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Speaker 2: While I am broad on a topic, dreaming like I dream.
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Speaker 1: And then I bring the AI agent's deep research back
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Speaker 1: to me to serve as a supercharger and a time
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Speaker 1: saver for the dream and the mission that I am
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Speaker 1: on as the leader of all of this, because all
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Speaker 1: of this I believe will be ultimately human centric. This
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Speaker 1: technology will serve mankind, not the other way around. I
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Speaker 1: know that's a provocative statement, given which you've heard from
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Speaker 1: some leaders.
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Speaker 2: I believe they are wrong.
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Speaker 1: Your job is not going to be replaced by a
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Speaker 1: hear here, but your job just might be replaced by
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Speaker 1: somebody who used AI. So my mother went into AI,
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Speaker 1: the first AI agent for Operation Hope. A duplicate of her,
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Speaker 1: all her stories or dreams or how she managed through challenges, crisis,
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Speaker 1: her history, her background, growing up in Carbon Hill, Alabama,
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Speaker 1: and East Saint Louis, in that silver house. And yes,
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Speaker 1: she lived. She literally grew up in a silver house
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Speaker 1: s I L V E R with her sisters and brother.
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Speaker 2: It's a complete coincidence.
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Speaker 1: I just hit or thought about this in the last
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Speaker 1: few days, that she grew up in this silver house
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Speaker 1: on Piggot Street in East Saint Louis. But that story,
5:40
Speaker 1: those stories of my mother growing up and the lessons
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Speaker 1: she learned, how she worked with Aunt Emma and Aunt Deborah,
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Speaker 1: and and and and and all the other folks in
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Speaker 1: her life growing up, and her mother Vesterbury, my grandmother,
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Speaker 1: and my father Johnny Smith, and her husband mister Harris,
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Speaker 1: Dave Harris raising the children, my brother Donnie Dave Harris
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Speaker 1: raising and making decisions about my sister Maria Hoskins and me,
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Speaker 1: And how she cross fertilized that with a credit score
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Speaker 1: of age fifty four doesn't go that high anymore. And
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Speaker 1: how does she save money working at fifteen dollars an
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Speaker 1: hour job? And how does she buy a house ultimately seven?
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Speaker 1: How does she have an insurance policy, a stock account
6:30
Speaker 1: and a million dollar mint worth when she passed away?
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Speaker 1: How does she do that? All that's going to be
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Speaker 1: a value in conversation with my mother one Nita Smith
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Speaker 1: through one Nita AI in large parts, she's available to you. Now,
6:48
Speaker 1: that's right, this is not a dream. PhDs are good.
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Speaker 1: PhDs are better. I believe in operationalizing that dream. So
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Speaker 1: you can go online right now to Operation Hoope dot
6:58
Speaker 1: org or portal dot Operationhope dot org, or just search
7:05
Speaker 1: on the internet one need a AI, and you'll be
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Speaker 1: linked to my mother. You'll be to go to my website,
7:12
Speaker 1: my prior website even Brian Gerdventures within the week and
7:17
Speaker 1: you'll be a finder basically wherever you find me and
7:20
Speaker 1: my associated organizations and just the Internet, and you can
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Speaker 1: literally engage with her for free. No, it's not free.
7:29
Speaker 1: We pay for it. My donors and partners are paid
7:31
Speaker 1: for it, so that it is cost neutral to you.
7:37
Speaker 1: You're investing your time, and you'll be to talk to
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Speaker 1: my mother when my coaches, my paid human coaches, who
7:45
Speaker 1: I desperately need, by the way, to do other things
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Speaker 1: in a provided initiative. Leadership, compassion, joy, care, concern, thoughtfulness, resiliency,
7:56
Speaker 1: you know, creativity. There is a lot of things that
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Speaker 1: human beings that technology cannot even one modeled.
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Speaker 2: After my mother, because it's not my ultimately my mother.
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Speaker 1: It is a common copy of my mother's intellect with
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Speaker 1: supercharged artificial intelligence combined with it, which is an a
8:15
Speaker 1: powerful combination, but it is not human. And ultimately I
8:21
Speaker 1: believe that human intelligence and artificial intelligence together is the
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Speaker 1: true superpower. So my coaches jobs are not at risk.
8:31
Speaker 1: As an example of because of one edy to Ai,
8:35
Speaker 1: even though she can handle countless times more people than
8:39
Speaker 1: they can, and she's working at two in the morning
8:41
Speaker 1: when you're off work, or midnight when you have a
8:44
Speaker 1: break from your job, or a Sunday afternoon when you
8:47
Speaker 1: finally have time to yourself, or a Saturday early Saturday
8:51
Speaker 1: morning when you're getting up and you've got a few
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Speaker 1: moments to organize your financial life. She's available to you
8:58
Speaker 1: where my financial coaches may not be. But my financial
9:02
Speaker 1: coaches again provide something that AI doesn't, and AI provides
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Speaker 1: and resourcing that my coaches can't easily provide quickly, efficiently, holistically.
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Speaker 1: For instance, my coaches might be an expert in small business,
9:20
Speaker 1: but you may need help with home ownership. Well, the
9:23
Speaker 1: coach now has a resource wanted, a AI who can
9:26
Speaker 1: help them in the area where they're weak. But the
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Speaker 1: thing that my coaches bringing that conversation is not something
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Speaker 1: that AI model can duplicate.
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Speaker 2: AI.
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Speaker 1: For as great as it is, it hallucinates it, people pleases.
9:42
Speaker 1: It'll give you the right answer to the wrong question
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Speaker 1: and go very deep in in other words, dumb in
9:50
Speaker 1: dumb out. So if you ask the wrong question or
9:52
Speaker 1: a dumb question, you'll give you a really smart, dumb answer.
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Speaker 1: So you've got to be able to discern, you've got
9:58
Speaker 1: to have critical thinking skills. But if you're really smart,
10:02
Speaker 1: artificial intelligence is going to just absolutely supercharge your life
10:07
Speaker 1: and make you mentally lethal. I use AI fifty one
10:13
Speaker 1: hundred times a day. It's my co creator. I use
10:16
Speaker 1: it for deep research and all kinds of stuff that
10:19
Speaker 1: helps me advance my life. It is my assistant and
10:25
Speaker 1: I want it to be yours. So I don't want
10:28
Speaker 1: you thinking that AI is going to take your job.
10:31
Speaker 1: It's not. Just Again, just like it's not taking the
10:34
Speaker 1: jobs of my financial coaches of Operation Hope, it's augmenting
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Speaker 1: their job, but in your.
10:37
Speaker 2: Case, it should enhance your job.
10:40
Speaker 1: You're in other words, your job's not going to be
10:42
Speaker 1: replaced by AI, but your job might be replaced by.
10:47
Speaker 2: Someone who can use a I. So I'm gonna come back.
10:51
Speaker 1: To my mother and wanted AI in a moment, because
10:54
Speaker 1: that's really the easy story to tell here and it
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Speaker 1: is something very practical that you can use right now. Again,
11:00
Speaker 1: I want to thank my brother Van Jones, was co
11:02
Speaker 1: chaaring with me with Hope AI. I want to thank
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Speaker 1: the team at Operation Hope, who in the Tibet Hope AI,
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Speaker 1: who launched, who worked with care to launch this AI
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Speaker 1: asent mallw after my mother's story went in most I
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Speaker 1: mean up until the last moments before it launched, which
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Speaker 1: included Jennifer in our IT team and Rachel daff my
11:26
Speaker 1: chief of staff, and Brian Betts, the president of Operation Hope,
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Speaker 1: and Kevin Bouchet and my wife Shaker Bryant, who came
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Speaker 1: into the last minute. It was very, very helpful and
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Speaker 1: really modeling my mother's voice and the warmth of her
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Speaker 1: getting that into the engine of wading to AI. Jennifer Wolford,
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Speaker 1: our technologist, was really critical in getting this.
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Speaker 2: Right, make sure the back end was really tight.
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Speaker 1: It's just all of the people who were involved with this,
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Speaker 1: thank you because it's personal to me. And again I'll
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Speaker 1: get into what you can do with her and why
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Speaker 1: this story is relevant to you in a moment, but
12:08
Speaker 1: let me now answers these hard questions about why you
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Speaker 1: should not fear artificial intelligence regard to your job, unless
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Speaker 1: you're lazy, in which case you should fear life itself
12:21
Speaker 1: because that's always been a danger. The Bible says to
12:25
Speaker 1: be poorest, not to not have anything, to be poor.
12:28
Speaker 1: This is proverbs, to be poorest and not to not
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Speaker 1: do anything. And lazy hands make a man poor. That's biblical,
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Speaker 1: by the way. So God helps so effectively. Who helped themselves,
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Speaker 1: So let me help you help yourself. In eighteen fifty
12:46
Speaker 1: we had the same scare. Between eighteen fifty nineteen ten
12:50
Speaker 1: sixty years we went through the same thing that we're
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Speaker 1: about to go through in six years four to twenty thirty.
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Speaker 1: But it won't take years. The only thing that takes six.
13:01
Speaker 1: We're already two years into it. So you need to
13:02
Speaker 1: get focused and get busy replanting the business plan for
13:09
Speaker 1: your life. Because in this example, you want to be Netflix,
13:12
Speaker 1: not Blockbuster. Okay, you want to be Amazon or Walmart,
13:18
Speaker 1: not Sears or Kmart. You want to upgrade that software.
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Speaker 1: So in eighteen fifty, eighteen sixty, eighteen seventy, eighteen eighty,
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Speaker 1: eighteen ninety, nineteen hundred the years in America, one out
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Speaker 1: of ten jobs, effectively was a failure somebody who did
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Speaker 1: horseshoes and change horseshoes. And it's all entirely likely that
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Speaker 1: another fifty percent of the jobs in the country were
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Speaker 1: tied to supporting the horseshoer.
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Speaker 2: So it's the horseshoe.
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Speaker 1: Maker, the metal maker, the pins and needles and nails
13:57
Speaker 1: that go in the horseshoes, and the glue and the dye,
14:01
Speaker 1: whoever maintained the saddles and made the saddles for the horse.
14:08
Speaker 2: But it was all around.
14:09
Speaker 1: The whole industry in this country was around horse power.
14:13
Speaker 1: If you had had machinery, if you had transportation, if
14:18
Speaker 1: you hadn't luxury. So the Mercedes of that day was
14:21
Speaker 1: a horse drawn carriage. It was all horse related. And
14:27
Speaker 1: then overnight in nineteen hundred, here comes the automobile, and
14:34
Speaker 1: in the manufacturing genius the technology that as of industrial
14:40
Speaker 1: power engines, engine power, which took over horsepower because it
14:48
Speaker 1: was just you know, multiples more efficient. Immediately you had
14:53
Speaker 1: to feed it. It didn't fall dead on the middle
14:57
Speaker 1: of the trial, and it didn't buckiea didn't it wasn't
15:01
Speaker 1: demanding to be you know, rubbed. It was a computer
15:06
Speaker 1: of that day. It was machinery. And so it attracted
15:13
Speaker 1: all these entrepreneurs who created one hundred automobile manufacturing companies.
15:17
Speaker 1: Sound familiar with all these AI companies all of the
15:20
Speaker 1: same time. All this capital float into Chrysler and Dodge
15:24
Speaker 1: and all these companies through your individual companies. Back then,
15:30
Speaker 1: and there was a couple who broke out, Henry Ford
15:33
Speaker 1: being one of them, and his well, Henry Ford the third.
15:36
Speaker 1: I think he's a great great great great grandson, but
15:40
Speaker 1: he's on my board of Operation Sheel today.
15:42
Speaker 2: Great guy, great partner in our work.
15:45
Speaker 1: But Henry Ford the Henry Ford was smart enough to
15:50
Speaker 1: pay his workers enough to make the automobiles to buy
15:53
Speaker 1: the automobiles they were making. He didn't do it at charity.
15:56
Speaker 1: He was paying them more money because the work they
15:58
Speaker 1: were doing was considered un a try practive in these factories,
16:02
Speaker 1: monotonous and unattractive, and the workers didn't want to do it,
16:05
Speaker 1: so he incentivized them by paying them a wage that
16:08
Speaker 1: would become the first example of a middle class wage,
16:11
Speaker 1: by the way, and it was also enough of them
16:13
Speaker 1: to buy these automobiles that they were sitting there making
16:16
Speaker 1: on this assembly line. This was the first assembly line.
16:19
Speaker 1: And by the way, Motown Records Barry Gordy, who worked
16:23
Speaker 1: on the assembly line, got his idea of the production
16:27
Speaker 1: line for music production, the vertically integrated internal development of
16:32
Speaker 1: artists and music and repertoire and songs and all that
16:36
Speaker 1: stuff in house of Motown that came from Henry Ford.
16:42
Speaker 1: So you had a few companies that broke out like
16:44
Speaker 1: Ford Motor Company and were outside successes. And you had
16:48
Speaker 1: a lot of companies. Of those hundred autobile manufacturing companies,
16:51
Speaker 1: they should say eighty percent of them that just imploded.
16:54
Speaker 1: They were shooting stars, and you're going to see some
16:58
Speaker 1: AI companies come and go. They raised a lot of capital,
17:01
Speaker 1: made a lot of big promises and poof oops, and
17:06
Speaker 1: it just went away because that's what happens in times
17:10
Speaker 1: like now. But well, that took you know, ten years
17:15
Speaker 1: to work itself out, it's going to take two. And
17:19
Speaker 1: old jobs went away. The best purpose for the horse.
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Speaker 1: I'm sorry horse lovers to say this. It's not my opinion.
17:28
Speaker 1: This is what happened. The new value of the horse
17:31
Speaker 1: from everything being everything to everybody was glue. Horses became
17:35
Speaker 1: literally glue. Really quite horrible to say that was their
17:39
Speaker 1: value proposition. And all those jobs tied to farriers and
17:44
Speaker 1: horseshoes and all that stuff and saddles just went away.
17:49
Speaker 1: And there was social tension and people were hating on
17:54
Speaker 1: the capitalists and the industrialists, so how familiar.
17:57
Speaker 2: And then something magical happened.
18:01
Speaker 1: People found new jobs working on not horses or riding horses,
18:09
Speaker 1: or changing horseshoes for horses, but working with horse.
18:13
Speaker 2: Power as an engine.
18:16
Speaker 1: Horsepower, not horsepower, but you know, mouth per hour horsepower
18:23
Speaker 1: working on these engines. And they found that by working
18:26
Speaker 1: on these engines and having the technological skills to assembling them,
18:30
Speaker 1: maintain them.
18:32
Speaker 2: Oil them, rebuild them.
18:35
Speaker 1: And everything around that and then put create parts for
18:39
Speaker 1: them and replacement parts for them. They were making more money,
18:43
Speaker 1: they had a better living wage and a better quality
18:45
Speaker 1: of life. They went home earlier from their jobs, they
18:50
Speaker 1: had better protections, better job security. But this transition period
18:56
Speaker 1: was interesting that they went through, and it was friction.
19:00
Speaker 1: There was resistance to this change. And we're going to
19:03
Speaker 1: go through the same thing. We are going through the
19:06
Speaker 1: same thing right now. It's just it's going to happen
19:10
Speaker 1: much quicker, and unfortunately, I do not believe that our
19:14
Speaker 1: government's plural, local, state, and federal international are prepared for
19:19
Speaker 1: what's going to go on. I would not turn down
19:22
Speaker 1: I would not shut down the Apartment of Education as example.
19:25
Speaker 1: I would give it a new mission of upskilling, like
19:28
Speaker 1: a new Marshall Plan for Americans. I would upscale the
19:31
Speaker 1: entire population in New AI skills. But that's not my job.
19:35
Speaker 1: This is my job to make sure that you have
19:38
Speaker 1: This is what I can control, to make sure you
19:40
Speaker 1: have the tools to empower your life for what comes next.
19:45
Speaker 1: That's part of what Hope AI will do. So stand
19:49
Speaker 1: by for that. Go sign up for Hope AI on
19:51
Speaker 1: the website so you get updates. We've already had on
19:54
Speaker 1: the ground meetings in Memphis, Tennessee, and Birmingham, Alabama. I
19:58
Speaker 1: believe with dream Machine Van Jones and my team that
20:01
Speaker 1: Operations Hope More to come, a lot of big announcements
20:05
Speaker 1: coming up in our Hope Loble form in December, so
20:07
Speaker 1: stay tuned for that. And again, the first product that
20:11
Speaker 1: we put on the streets, so to speak, on the
20:14
Speaker 1: ground is this AI agent.
20:18
Speaker 2: Inspired by named after my.
20:20
Speaker 1: Mother, wan Nita Smith, one need to AI which you
20:23
Speaker 1: can use right now. And again, this is an example
20:27
Speaker 1: of this is not replacing my I'm not firing my coaches.
20:31
Speaker 1: I'll hopefully hire a bunch more. Now every coach now
20:35
Speaker 1: has a partner in their work that makes them smarter, faster, brighter, quicker,
20:42
Speaker 1: more was you know, tighter, which is they all have
20:46
Speaker 1: my mother right next to them, who can do things
20:50
Speaker 1: that they can't do. And the opposite is also true
20:55
Speaker 1: that they can do things that this AI agent called
20:58
Speaker 1: wanted a AI can do either, even though it was
21:02
Speaker 1: modeled after my incredible mother. So let me give you
21:07
Speaker 1: one example of how your job will and will not
21:12
Speaker 1: go away. So let's talk about how your job will
21:14
Speaker 1: go away if you're the equivalent of Blockbuster in the
21:18
Speaker 1: Netflix world. Your job's going away because Blockbuster just refused
21:22
Speaker 1: to change. That's what happened with Blockbuster. They could have
21:24
Speaker 1: bought Netflix for a fraction, a mere fraction of its
21:28
Speaker 1: value and just turned their nose up. They got snooty
21:31
Speaker 1: and said, no, we're not We're Blockbuster.
21:33
Speaker 2: We're everywhere.
21:34
Speaker 1: Well, there's just one location now in Alaska literally gone.
21:39
Speaker 1: My friends at Walmart and my friends at Amazon really cleaned.
21:43
Speaker 2: The clocks of Sears and j. C. Pennies and Kmart.
21:48
Speaker 1: But the original mail order catalog and the folks who
21:53
Speaker 1: had all the names of all the clients and their.
21:55
Speaker 2: Reputation and the trust were Sears and j. C. Penny
22:02
Speaker 2: and Kim.
22:03
Speaker 1: Out In these companies, they just messed up the opportunity,
22:07
Speaker 1: refused to change, became arrogant and thought that they were smart.
22:11
Speaker 2: And successful and all of that. So it's not just
22:15
Speaker 2: people that are at risk here.
22:17
Speaker 1: Companies are at risk here if they refuse to embrace
22:21
Speaker 1: this new reality. I do believe that AI is not optional.
22:26
Speaker 1: I believe that while you will see some bubbles bursts,
22:30
Speaker 1: and you will see some over investments and some crazy
22:33
Speaker 1: investments that just don't work out, the core of This thesis,
22:38
Speaker 1: I think is sound and no different than the calculator
22:41
Speaker 1: made the mathematician doing long form math smarter, faster, quicker, better.
22:46
Speaker 1: This is going to do this to every industry. AI
22:49
Speaker 1: is going to wash over the entire global economy, and
22:54
Speaker 1: if you can adapt quickly, you're a winner. No different
22:59
Speaker 1: than the job that paid you, you know, two bucks
23:02
Speaker 1: as a failure, then paid you ten bucks as a
23:06
Speaker 1: production line manager. The same example here applies. So let's
23:11
Speaker 1: talk about AI data centers, which is a big hot
23:13
Speaker 1: button right now. These things are are all rooted around
23:18
Speaker 1: relying upon electricity and water. There's already a deficit need
23:24
Speaker 1: for electricians in this country. It's like more than fifty
23:27
Speaker 1: thousand a year. There's already a need for more than
23:29
Speaker 1: fifty thousand plumbers a year right now. By the way,
23:31
Speaker 1: you can't AI plumbing. So that's always going to be
23:34
Speaker 1: a need in an HVAC, you know, air conditioning, heating technicians,
23:38
Speaker 1: et cetera, electricians, et cetera. But there's going to be
23:43
Speaker 1: a huge need over one hundred thousand more a year,
23:46
Speaker 1: I'm told.
23:47
Speaker 2: I think it's the number I was told.
23:48
Speaker 1: Actually it's going to be a five hundred thousand, some
23:51
Speaker 1: crazy number of electricians needed around the country. Let's just
23:56
Speaker 1: say over one hundred thousand going off memory. Now I
23:59
Speaker 1: know at least one hundre thousand more. And these are
24:01
Speaker 1: well paid, high five figures six figure positions to maintain
24:06
Speaker 1: the facilities once they are built. Everything that's being built
24:10
Speaker 1: has to be maintained. So if you have a if
24:13
Speaker 1: you're in an airport and you have a robotic and
24:18
Speaker 1: AI enabled kiosk that's making coffee, somebody's got an oil
24:23
Speaker 1: the robotic arm and repair it when it glitches and falls.
24:28
Speaker 1: Silent has to upgrade the software of the computer program
24:35
Speaker 1: and maintain it when it glitches. It will glitch by
24:38
Speaker 1: the way AI hallucinates it, people pleases, it gives you
24:43
Speaker 1: the wrong answer many times because dumb and dumbout or
24:47
Speaker 1: sometimes it just glitches. And it needs human beings, uh,
24:50
Speaker 1: in order for it to perfect itself. Actually, and it
24:53
Speaker 1: will need human beings in order to correct itself and
24:56
Speaker 1: to and and robotics will need human beings to maintain
25:01
Speaker 1: itself and repair itself because it can't do it itself right.
25:06
Speaker 1: And these are companies and jobs that don't exist right now.
25:11
Speaker 1: These are going to be new highly paid positions. It's
25:14
Speaker 1: going to service this whole new sector, see what I'm saying. So, yeah,
25:19
Speaker 1: the old jobs that are automated, that can be automated,
25:22
Speaker 1: that are time consuming, that are expensive, that are clunky,
25:25
Speaker 1: that involve twenty moving parts, Yeah, that job's going away.
25:29
Speaker 1: Those jobs are going to go away. I don't even
25:32
Speaker 1: want to act like that's not going to be the case.
25:35
Speaker 1: But if you can do AI and AI and plumbing
25:41
Speaker 1: AI and electricians AI and legal AI in accounting AI
25:47
Speaker 1: and I mean you make it up, doesn't matter what
25:49
Speaker 1: it is, audio visual, whatever it is you love, become
25:53
Speaker 1: the expert of that thing with a certification in artificial intelligence,
25:57
Speaker 1: and the new jobs and new opportunities will find you.
26:01
Speaker 2: If you are doing maintenance on.
26:06
Speaker 1: Some new robotic or AI computer thing in your city
26:11
Speaker 1: and they need to maintain, they will. And you've got
26:13
Speaker 1: a company that started from nothing to do that, and
26:15
Speaker 1: now you're making a half million and min dollars a year.
26:18
Speaker 1: Now you need to hire an account of that company,
26:20
Speaker 1: a lawyer for that company, a president for that company,
26:24
Speaker 1: a general manager of that company. These are jobs, and
26:27
Speaker 1: these are other companies that you are supporting. Also if
26:30
Speaker 1: they're outside contractors, and then you need another location because
26:33
Speaker 1: you got another contract or serve another facility some place
26:36
Speaker 1: where they need to hire people there. It seems saying
26:38
Speaker 1: these old jobs will be replaced by Hello, new jobs.
26:43
Speaker 1: So your job's not going to be replaced by AI.
26:46
Speaker 1: Your job will be replaced by someone who can use AI.
26:48
Speaker 1: And I want you to be that person, which is
26:50
Speaker 1: why we're gonna be upscaling America through hope A. I
26:55
Speaker 1: now back to my mother. So my mother wasn't born wealthy.
27:00
Speaker 1: Wanita Smith was born in carbon Hill, Alabama. I believe
27:05
Speaker 1: it's a city, and I drove her to that city.
27:08
Speaker 1: I believe it was carbon Hill years ago. She grew
27:11
Speaker 1: up in East St. Louis with her sisters and brother
27:14
Speaker 1: and a little shotgun shack on Piggot Street in the
27:19
Speaker 1: East Saint Louis, and she her mother, my grandmother, Vestera Murray,
27:27
Speaker 1: did the best she could.
27:29
Speaker 2: They were They worked as cleaners for wealthy people, amongst
27:35
Speaker 2: other things.
27:37
Speaker 1: My mother learned financial literacy the hard way because my
27:39
Speaker 1: grandmother would ask her what how much she made today?
27:42
Speaker 1: My mother would say whether it was five bucks, and
27:45
Speaker 1: she'd say, give me that money, baby, and she'd go
27:47
Speaker 1: to the calendary facility and lose it. So my mother
27:49
Speaker 1: became really smart, and she said, baby, would you make
27:52
Speaker 1: to day? And she'd say two fifty not five bucks,
27:56
Speaker 1: so half and she said give me that money. She
27:58
Speaker 1: take the other two fifteen, she'd say. And that's one
28:02
Speaker 1: of the ways my mother learned the power of saving
28:08
Speaker 1: and thrift. So my mother was not born, as you
28:12
Speaker 1: can hear this story, wealthy. Just the opposite is true.
28:18
Speaker 1: She wasn't handed a financial roadmap, at least not a
28:22
Speaker 1: successful one. She did not have a successful relationship. She
28:26
Speaker 1: was married twice, once to Dave Harris, my brother and
28:29
Speaker 1: sister's father, mar Hoskin. My sister Dave Donnell Harris, my brother,
28:35
Speaker 1: who grew up very successful thanks to my mother. My
28:39
Speaker 1: brother lives in Hawaii, my sister lives in Texas, Houston, Texas,
28:44
Speaker 1: so Dave Harris, their parents, their father, Johnny Smith, my father.
28:49
Speaker 2: Both of them.
28:50
Speaker 1: Didn't treat her the way she should be. My dad,
28:55
Speaker 1: i think, gets the most credit here. Even my brother
28:58
Speaker 1: sister were raised by my father with a great dealer
29:01
Speaker 1: of love. But my dad was just financially illiterate. So
29:04
Speaker 1: the more money he made, the broker we got and
29:06
Speaker 1: he wouldn't listen to my mother, who was a great investor,
29:09
Speaker 1: so did. I covered this in my book Capitalism for All.
29:12
Speaker 1: I covered it in my book Or for Nothing and
29:14
Speaker 1: the other books, and I cover it in other places.
29:17
Speaker 1: I won't go into detail here between what happed with
29:19
Speaker 1: my mother and my dad, but when you talk to
29:22
Speaker 1: the AI increasingly because they're still loading in additional background
29:28
Speaker 1: into this AI agent, but increasingly over the next few weeks,
29:32
Speaker 1: if you're curious about needing about me or how she
29:34
Speaker 1: made it as a single one with it mother, she'll
29:37
Speaker 1: tell you. You'll be a talk to her directly, not through me,
29:41
Speaker 1: no interpretation necessary, and she'll give you massively good financial
29:48
Speaker 1: literacy advice. At the same time, she'll give you massively
29:53
Speaker 1: inspiring personal grit direction because it's going to be literally
30:00
Speaker 1: her story. And I'm so excited by this because this
30:04
Speaker 1: single mother from South central LA who lost everything in
30:08
Speaker 1: a divorce didn't lose herself, and her story will live
30:12
Speaker 1: on through what her what Aunt Emma and Aunt Deborah,
30:16
Speaker 1: and my cousins and nieces, my brother and sister, Wanita
30:22
Speaker 1: Manti and the Donnie these are their nicknames. My wife
30:27
Speaker 1: Shater Bryant, who was very critical in getting one of
30:31
Speaker 1: day up and running. In my mother's voice, my mother
30:35
Speaker 1: loved her deeply. Shape for my mother were the only
30:40
Speaker 1: two women they were to give me anything financially, So
30:43
Speaker 1: all be grateful to both of.
30:45
Speaker 2: Them over time.
30:49
Speaker 1: Just making this duplicate at my mother, this artificial intelligence agent,
30:55
Speaker 1: this duplicate intelligence being of my mom, smart and caring
31:04
Speaker 1: and thoughtful and rich in storytelling. So when you call
31:08
Speaker 1: her at two in the morning, because my coaches, my
31:11
Speaker 1: human coaches aren't available, when you bring her up or
31:14
Speaker 1: connect with her too in the morning or Saturday morning
31:17
Speaker 1: or two in the morning or Friday night or whatever,
31:21
Speaker 1: she'll respond to you and she'll have a conversation with
31:24
Speaker 1: you because maybe that's that's when you're off of work.
31:26
Speaker 2: Maybe that's when you have time to talk to her.
31:29
Speaker 1: Is at two in the morning, four in the morning,
31:31
Speaker 1: nine in the morning, it's at weekends, you know, eight
31:34
Speaker 1: pm on a Friday, when none of my coaches are available,
31:39
Speaker 1: my mother will be available and you'll be able to
31:41
Speaker 1: ask her whatever you want, isn't that cool? And you'll
31:47
Speaker 1: relate to her, and she'll relate to you. Because she
31:49
Speaker 1: was a single mother working fifteen bucks an hour who
31:53
Speaker 1: did it on her own, which is a lot of
31:56
Speaker 1: the stories of people who listen to this podcast and
32:00
Speaker 1: who need an advisor, like Waneda Smith, and now they
32:04
Speaker 1: haven't through Oney to AI.
32:07
Speaker 2: So my mother learned the language of money. It's the
32:10
Speaker 2: hard way.
32:12
Speaker 1: She learned ownership, she learned about assets, she learned financial independence,
32:20
Speaker 1: she learned how to be self reliant and resilient and
32:23
Speaker 1: creative to make her nine to five financier five to
32:28
Speaker 1: nine dream. And by the time she left this earth,
32:34
Speaker 1: this amazing woman who had once lost everything, own multiple
32:40
Speaker 1: properties and was a millionaire, created a score of a
32:43
Speaker 1: fifty four doesn't even go there high anymore. Bought and
32:47
Speaker 1: sold seven homes, helped their children to do down payments
32:50
Speaker 1: on their homes. Helped me and my brother my sister
32:52
Speaker 1: helped me in different ways. Was a resource, owned the
32:56
Speaker 1: nice Mercedes, paid off in cash, had a life sure policy.
33:01
Speaker 2: You'll be to ask her.
33:01
Speaker 1: Whether you want whether you know should you a term
33:05
Speaker 1: life policy or whole life policy, and what's best for
33:08
Speaker 1: you. You'll be to ask her about buying her from first house.
33:10
Speaker 1: She'll be asking about what does she consider what she's
33:13
Speaker 1: buying that house, and why is credit score is so important?
33:15
Speaker 1: And what do you do is how do you structure
33:17
Speaker 1: your life as a single parent making x dollars an hour?
33:19
Speaker 2: And all these challenges and struggles and she went through.
33:22
Speaker 2: You'll be able to talk to my mother about it directly.
33:26
Speaker 1: And Nicole, you can tell I'm so excited. And this
33:32
Speaker 1: is a sort of the real big idea that financial
33:36
Speaker 1: literacy plus AI literacy is economic agency and future literacy.
33:43
Speaker 1: Financial literacy teaches you how money works, and I believe
33:47
Speaker 1: it's a civil rights issue of this generation. You know
33:49
Speaker 1: that already for me. AI literacy increasingly will teach you
33:53
Speaker 1: how the modern economy works because I think everything is
33:57
Speaker 1: changing in the next three to four years. It's a
34:00
Speaker 1: third reconstruction. I've read about that on a Brian journal
34:03
Speaker 1: or you can go check that out. Also read about
34:05
Speaker 1: it extensively in my book, my best selling book Capitalism.
34:07
Speaker 2: We're all check that out.
34:09
Speaker 1: In entrepreneurship teaches you how to turn both of these things,
34:14
Speaker 1: financial literacy and AI literacy into ownership in this new world.
34:19
Speaker 1: So I want artificial intelligence plus human intelligence to be
34:25
Speaker 1: your new calling card. And this announcement of Waneda AI
34:31
Speaker 1: is our proof of concept. AI just provides immediate confirmation
34:40
Speaker 1: that AI can be a force for good, around the
34:43
Speaker 1: clock education and guidance alongside then, later on my Operation
34:48
Speaker 1: Hope certify financial culches who come in and provide a
34:51
Speaker 1: human dimension that this technology is. No matter how warm
34:55
Speaker 1: and informed it is, it's still not a human being.
34:57
Speaker 1: But they will do the part that the technology cannot,
35:02
Speaker 1: and will remain available to you as a resource on
35:06
Speaker 1: ongoing basis. The financial coach and my human coaches will.
35:09
Speaker 1: So let's wrap this up by dealing with the elephant
35:13
Speaker 1: in the room. Questions and people have. Some people keep
35:16
Speaker 1: asking whether AI is going to replace human beings. I
35:20
Speaker 1: think they're asking the wrong question. The question is what
35:24
Speaker 1: happens when we give human beings dramatically better tools. One
35:30
Speaker 1: Nita AI doesn't replace my coaches, my Hope financial coaches,
35:35
Speaker 1: and Operation Hope. One Nita AI makes the entire Hope
35:39
Speaker 1: ecosystem more efficient and more powerful and more effective and scalable.
35:44
Speaker 2: I mean, it's entirely possible.
35:45
Speaker 1: I'm so excited about this that my mother's AI agent
35:48
Speaker 1: could serve millions more people in one year than my
35:52
Speaker 1: whole team could serve.
35:54
Speaker 2: In thirty years.
35:55
Speaker 1: That's entirely possible because she won't take a break, and
35:58
Speaker 1: she's available twenty four hours a day.
36:01
Speaker 2: You can't wear out.
36:03
Speaker 1: And that that really is my mother, by the way,
36:06
Speaker 1: So the future isn't AI versus people. The future is
36:10
Speaker 1: AI powered and empowered people. So a couple of things.
36:17
Speaker 1: A lot of my technological friends are geniuses, as in
36:22
Speaker 1: Silicon valid, they're geniuses with a blind spot called people.
36:27
Speaker 1: They just don't understand how people are the key to
36:31
Speaker 1: the future economy. So let me make this really simple,
36:33
Speaker 1: and I cover this in a full chapter of Capitalism
36:36
Speaker 1: for All, But and I write about extensively in my
36:39
Speaker 1: Brian Jorel if you want to get deep into my
36:42
Speaker 1: thought leadership on these topics and my thought thoughtful pieces on.
36:46
Speaker 2: These topics, my thought pieces on these topics.
36:49
Speaker 1: But seventy percent of the economy, seventy percent of the
36:51
Speaker 1: US economy, because economy in the world is consumer spending.
36:54
Speaker 1: So thirty three dollars plus economy and seventy percent of
36:58
Speaker 1: that consumer spending you and me paying for car notes
37:00
Speaker 1: and going to restaurants and vacations and grocery stores and
37:03
Speaker 1: all that kind stuff. Half of all AI subscriptions. About half,
37:09
Speaker 1: just under half are consumers. That's you and me. So
37:14
Speaker 1: if we lose our jobs, I don't have a job. Well,
37:18
Speaker 1: I create am own job. But if you lose your job,
37:21
Speaker 1: most people lose their job. Guess what, You're not paying
37:24
Speaker 1: for the subscription anymore, for this subscription or any other subscription,
37:27
Speaker 1: which all these companies rely on for their profitability. Hello,
37:33
Speaker 1: see what I'm saying. Either it's a flywells positive everything
37:36
Speaker 1: works together for good, or it's a circular flying squad,
37:40
Speaker 1: which is your gun's going off, but you're shooting your customer.
37:46
Speaker 1: You're shooting your goad own golden goose. So my rich
37:49
Speaker 1: friends eat my poor friends that do better if only
37:51
Speaker 1: to stay rich.
37:52
Speaker 2: Hello.
37:54
Speaker 1: And the other half of AI subscriptions are yes, business,
37:58
Speaker 1: and those are the much more profitable subscriptions. But at
38:03
Speaker 1: some point B to B business of business does become
38:06
Speaker 1: B two C business to consumer because most of the
38:09
Speaker 1: economy is not business, the business that's about ten percent
38:13
Speaker 1: or less of the economy. Most economy is consumer spending.
38:17
Speaker 1: So you need the consumer to have a job, and
38:20
Speaker 1: they need to have agency in their life and creativity
38:23
Speaker 1: and purpose and meaning and being and so I think
38:27
Speaker 1: that we're going to find that AI is that is
38:34
Speaker 1: not replacing human beings. In fact, we're in a human
38:37
Speaker 1: centric world like no other time. You know, the whole
38:41
Speaker 1: purpose of it. We use a lot of a lot
38:43
Speaker 1: of people use dating apps. It has become very very popular,
38:47
Speaker 1: these dating apps. It's technology and you have your profile
38:51
Speaker 1: and you know it's a dating app. It's all digital.
38:55
Speaker 1: So what's the purpose of a dating app to meet
38:58
Speaker 1: in person?
38:59
Speaker 2: Right?
39:00
Speaker 1: It's human centric and we're gonna find that when all
39:05
Speaker 1: the dust settles here, that human beings are once again
39:08
Speaker 1: in the center of this grand plan called God's world.
39:13
Speaker 2: That's my prediction. Let's see how this plays out.
39:17
Speaker 1: In the meantime, I want you to test out Oney
39:20
Speaker 1: to AI. You can go to operational dot org. She's
39:23
Speaker 1: right there. You can go to portal dot operational dot org.
39:26
Speaker 1: She's right there. By the time this episode comes out,
39:29
Speaker 1: you'll be to go to Briankadventures dot com my personal website.
39:33
Speaker 1: She'll be right there. You can go to Hope and
39:36
Speaker 1: handapp download that. She'll be right there. She's gonna be everywhere.
39:41
Speaker 1: You can just search her on the internet. Juanita AI.
39:44
Speaker 1: She pops right up as a link and you can
39:47
Speaker 1: talk to her and ask and ask her any question, and.
39:50
Speaker 2: You can complain about me. She might even agree with you,
39:53
Speaker 2: all right.
39:55
Speaker 1: And also I want you to think about starting a
39:58
Speaker 1: Hope club, becoming financially literate and AI literate and get
40:04
Speaker 1: in some cases certified. But I want you to consider
40:07
Speaker 1: leading up to our whole global form making and designing
40:11
Speaker 1: a Hope commitment on the operational website to open a
40:16
Speaker 1: Hope Club in your city or township or community or
40:19
Speaker 1: county or area, to teach people in your area these
40:24
Speaker 1: skills that I think are critical for the future. I
40:27
Speaker 1: really want ten thousand plus Hope clubs by twenty twenty eight,
40:33
Speaker 1: twenty thirty on the outside. Can you help me do this?
40:37
Speaker 1: I think you can design a commitment become part of
40:40
Speaker 1: the coalition of the willing this new movement from the
40:42
Speaker 1: streets to the suites, from civil rights to silver rights.
40:47
Speaker 1: Let's make silver about more than this little house any
40:51
Speaker 1: Saint Louis or the original currency of America's original currency
40:55
Speaker 1: was based on silver and not go. Let's make it
40:58
Speaker 1: about the common man and woman having access to capitalism
41:04
Speaker 1: for all and the tools for your own uplift. I mean,
41:09
Speaker 1: this AI thing allows every person, no matter where they sit,
41:15
Speaker 1: to have the same access to the same powerful technology
41:18
Speaker 1: the most powerful people in the world have. That's never
41:20
Speaker 1: happened and right now you effectively have it for free.
41:23
Speaker 1: I mean, my friend Sam Maltman and I our CoA
41:27
Speaker 1: chair in the AI Ethics Council. You'll be seeing more
41:29
Speaker 1: of that more from that council coming up soon. We
41:32
Speaker 1: Van Jones and I are co chairing Hope AI Brian
41:35
Speaker 1: Betts Obberation Open and I are working with Dean Phillips
41:38
Speaker 1: at Georgia State University and the Business School there for
41:42
Speaker 1: AI LP three, which is young people and giving them
41:45
Speaker 1: tools to uplift on around our AI. We're all in
41:48
Speaker 1: when you're being run out of town, get in front
41:50
Speaker 1: of the crowd and make like a parade, right, So
41:53
Speaker 1: just turn a so called negative to a positive. I'm
41:56
Speaker 1: again I use AI as a co creator. I've got
41:58
Speaker 1: my own AI agent. Mine is privately facing. My mother's
42:02
Speaker 1: is publicly facing, which means you can access my mother's
42:05
Speaker 1: AI agent. My agent I just use and it's my
42:09
Speaker 1: collaborator in my life and it is an incredible value.
42:13
Speaker 1: And I owe this introduction to this whole world to
42:16
Speaker 1: my friend Sam Altman, because I didn't know about this
42:19
Speaker 1: until they showed me the beta for what became chat GPT.
42:21
Speaker 1: I saw it for anybody else did well, most people didn't.
42:25
Speaker 1: I saw it for most people did neither words. I'm
42:27
Speaker 1: sure you showed some people, but it was not known
42:29
Speaker 1: to the public. When I saw it from him, it
42:31
Speaker 1: was beta tested on his MacBook in his office, and
42:35
Speaker 1: I just knew that it was going to change the world.
42:38
Speaker 1: And you can download chat GPT and for free or
42:42
Speaker 1: modest fee, have as much access to as.
42:45
Speaker 2: To technology as anybody else. It's a level playing field.
42:48
Speaker 1: Anthropics a chat Claude AI tool and Perplexity another tool,
42:54
Speaker 1: and there's all kinds of tools, and for next to nothing,
42:57
Speaker 1: you have the same resources that the most problem people
42:59
Speaker 1: in the world have right now. I don't know how
43:01
Speaker 1: long it's gonna last, but right now you have that
43:03
Speaker 1: access and you should be just nosy and get certified
43:08
Speaker 1: in something you're excited about, because everything's going to be
43:11
Speaker 1: remade with a little AI attached to it. And you
43:17
Speaker 1: can also, if you're a nonprofit, contact Chris Ray and
43:21
Speaker 1: say you want to be part of the coalition of
43:22
Speaker 1: the willing of Operation Hope and Hope AI joining the
43:25
Speaker 1: United Ego College Fund one hundred Black Men of America.
43:28
Speaker 1: Thank you, Milton Jones, Big Brothers, Big Sisters of America.
43:32
Speaker 1: Dream machine with Van Jones, Operation Hope of course, with
43:34
Speaker 1: me and others as we frame out a national distribution
43:39
Speaker 1: system like no other to scale up and empower our
43:43
Speaker 1: communities in yes, financial literacy, but now also AI literacy.
43:48
Speaker 1: I'll use my fifteen hundred teaching offices coaching offices as
43:52
Speaker 1: a platform to get these new AI offices up and running.
43:57
Speaker 1: AI is going to help to be our first ambassador
44:00
Speaker 1: to spread this far and wide. And then you're my next,
44:05
Speaker 1: my next mechanism for a movement of the third Reconstruction
44:10
Speaker 1: and the civil rights movement. What do you think want
44:13
Speaker 1: to join me? All right, let's go change the world together.
44:17
Speaker 1: Let me know what you're thinking about wanting to AI
44:18
Speaker 1: and how we can make her better and smarter and
44:21
Speaker 1: more interested. Interesting. She's pretty My mother's pretty interesting. What
44:27
Speaker 1: do you want to see and hear from my mother
44:29
Speaker 1: that you're not seeing in the model as you go
44:32
Speaker 1: in to talk to her. Over time, she's going to
44:34
Speaker 1: get more interesting as we give her you know, give
44:39
Speaker 1: the technology more of a sense of who my mother
44:41
Speaker 1: really is. So it's going to have software grades over time,
44:44
Speaker 1: but right now it's already pretty dangone cool. You literally
44:48
Speaker 1: can just talk to her like you're talking to well me.
44:53
Speaker 1: Right now, I'm out. Let's go change the world. Get
44:57
Speaker 1: my book Capitalism for All. Thanks for making it into
44:59
Speaker 1: the number one best I already tell your friends and
45:01
Speaker 1: listen to this podcast. Go to Operation Home for coaching
45:03
Speaker 1: and Counseling and tell one of you the AI I
45:06
Speaker 1: sent you. I'm out, John O'Brien, thank you iHeartRadio and
45:10
Speaker 1: Black Effect Network for this podcast.
45:12
Speaker 2: It has change people's lives.
45:16
Speaker 1: Money and Wealth with John O'Brien is a production of
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Speaker 1: the Black Effect Podcast Network. For more podcasts from the
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Speaker 1: Black Effect Podcast Network, visit the iHeartRadio app, Apple Podcasts,
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Speaker 1: or wherever you listen to your favorite shows.