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Speaker 1: Critical look at the future of artificial intelligence. It's a

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Speaker 1: pretty incredible piece. It's entitled behind the Curtain, a white

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Speaker 1: collar blood bath that could be the result of AI.

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Speaker 2: Well, yeah, and you know, Jim, people that run AI

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Speaker 2: companies don't want to talk about it. They want to

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Speaker 2: pretend it's not going to happen. Silicon Valley wants to

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Speaker 2: pretend it's not going to happen. Wall Street doesn't really

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Speaker 2: want to talk about it.

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Speaker 3: But the fact is, as you report, just like the

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Speaker 3: technological revolution, the IT revolution gutted blue collar workers throughout

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Speaker 3: the nineties and beyond, you're now talking about a blood bath.

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Speaker 2: For white collar workers because of AI. And from what

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Speaker 2: you've seen and what you're reporting on, it is going

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Speaker 2: to be a blood bath for workers.

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Speaker 4: That is certainly the warning of Dario Amede, who is

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Speaker 4: the CEO of Anthropic, and just for your viewers, Anthropic

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Speaker 4: is one of the top creators of this AI, these

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Speaker 4: large language models in the world, so he has better

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Speaker 4: visibility than probably all but two or three people in

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Speaker 4: the world into the power of this technology. He'd been

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Speaker 4: telling us in private for a while that this blood

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Speaker 4: bath could be coming, but that lawmakers don't want to

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Speaker 4: talk about it. The federal government doesn't want to talk

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Speaker 4: about it. AI companies don't want to spook people. We

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Speaker 4: finally convinced him to go on the record, and this

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Speaker 4: point is like, listen, just play with this technology, not

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Speaker 4: just casually, like once you really dive into it, you

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Speaker 4: realize it could do the work already of researchers, of analysts,

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Speaker 4: of a whole host of entry level white collar jobs.

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Speaker 4: And he put it in the starkest of terms. He said, like,

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Speaker 4: based on their early analysis over a five year period,

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Speaker 4: it could wipe out half of white collar entry level jobs.

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Speaker 4: Unemployment could spike to ten to twenty percent in the

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Speaker 4: next five years. And this is a guy who's building

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Speaker 4: the technology, who's boasting about the power of it. And

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Speaker 4: when we push them on them, if you're building it,

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Speaker 4: like how do you morally kind of think about it

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Speaker 4: in your own mind? And he said, I have an

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Speaker 4: obligation to build the technology. I also have an obligation

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Speaker 4: to get the federal government to get lawmakers, to get

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Speaker 4: other AI companies to figure out how do we prepare

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Speaker 4: the American worker and how do we protect the American worker.

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Speaker 5: And so, as someone who.

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Speaker 4: Runs a company, I run Axios. As a CEO, I

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Speaker 4: spend an ordinate amount of time studying AI and how

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Speaker 4: it's going to play out, just in my space of media,

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Speaker 4: and I can guarantee you in the next five years

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Speaker 4: it's going to radically transform the makeup of our company. Well,

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Speaker 4: every single company in the world is doing this. Every

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Speaker 4: CEO is sitting there saying should I fill this role?

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Speaker 4: Should I open this role? Will a machine do this

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Speaker 4: better than man? In the next couple of years. When

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Speaker 4: you see data out about the difficulty of college grads

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Speaker 4: finding new jobs, this is one of the early telltale.

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Speaker 5: Signs that this could be coming. In his mind, I

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Speaker 5: think it's sounding the alarm.

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Speaker 4: It's like, listen, we got to have a national debate

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Speaker 4: that this isn't ten years from now, It could be

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Speaker 4: six months from now, it could be twelve months from now.

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Speaker 4: Then there has to be a debate about, Okay, how

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Speaker 4: do you make sure that workers are prepared to use

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Speaker 4: artificial intelligence to augment their work, not displace their work.

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Speaker 4: That's what we've been doing at Axios. We give everybody

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Speaker 4: access to the technology. We have a deal with open AI.

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Speaker 4: We make sure that every single unit, no matter what

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Speaker 4: your job is is already playing with this to figure

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Speaker 4: out how are you going to augment your work so

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Speaker 4: you don't get displaced by it? How I told my

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Speaker 4: own staff, you're committing career suicide if you're not spending

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Speaker 4: ten percent of your day experimenting with the technology.

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Speaker 6: And I don't think most people are.

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Speaker 4: I think people are like, whoa, this is too science fiction,

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Speaker 4: or you know, it's a really neat search engine. They're

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Speaker 4: not actually looking at the capabilities. They don't have the time,

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Speaker 4: they have real lives. But I think Dario's point was

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Speaker 4: they might not wake up until it's way too late,

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Speaker 4: and if lawmakers are way too late to it, you

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Speaker 4: could have real issues. You could have unemployment, as he

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Speaker 4: said ten to twenty percent if he's right, which would

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Speaker 4: then lead to obvious political unrest. We have Steve Bannon

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Speaker 4: on the record in there saying he thinks the exact

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Speaker 4: same thing is going to play out.

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Speaker 5: Trump's not talking about.

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Speaker 4: It, but he thinks this will be maybe the biggest

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Speaker 4: topic of the twenty twenty eighth presidential election.

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Speaker 7: Hello, hey, Kutam talk and Ola.

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Speaker 2: It's me or rather my AI avatar here to share

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Speaker 2: clarinas Q one twenty twenty five highlights. I mean, you

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Speaker 2: have Steve Bannon on the right, you have other people

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Speaker 2: on the left very concerned about this, and Jim underlining,

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Speaker 2: You underlined a point.

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Speaker 5: That I've actually told my kids, which is, if you're.

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Speaker 2: Going into an interview, if you're going into anything where

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Speaker 2: where you are going to be talking, and you want

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Speaker 2: to understand a topic, it's just foolish not to go

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Speaker 2: on to a search engine app, an AI search engine

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Speaker 2: app and dig in deep to try to understand a

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Speaker 2: company that you're talking to or an issue that you're

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Speaker 2: talking about better.

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Speaker 6: It's it is, Elizabeth, it is the future.

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Speaker 2: The future is now, and a lot of the spaces

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Speaker 2: that we work in ten years from now are going

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Speaker 2: to look completely different because of AI, and white collar

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Speaker 2: workers across the country, as Jim said, are going to

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Speaker 2: be deeply impacted.

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Speaker 6: It's slop like total slop. Yes, AI slop.

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Speaker 7: It's everywhere.

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Speaker 6: AI will not replace us. AI will not replace us.

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Speaker 6: AI will not replace us.

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Speaker 8: I will not replace us. I'm being replaced. I will

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Speaker 8: not replace us. I'm too valuable, I'm too important. AI

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Speaker 8: will not replace us.

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Speaker 9: Things.

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Speaker 4: I'm getting really heated here with tensions rising quickly between

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Speaker 4: the protesters.

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Speaker 6: And the police. We are replacing you, no being replaced

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Speaker 6: place very well, not res.

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Speaker 4: I for journalism, I don't think that the machines are

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Speaker 4: going to do the journalism per se. But if you

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Speaker 4: play with it at all, you realize it's going to

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Speaker 4: be a really good copy editor. It's going to be

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Speaker 4: a really good marketer. It's going to be really good

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Speaker 4: at doing research. It's going to be really good at

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Speaker 4: doing marketing. It's going to be really good at taking

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Speaker 4: any piece and maybe creating eight different variations to send

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Speaker 4: it out to all the other platforms. And that's what

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Speaker 4: I would encourage people to do, is play with it,

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Speaker 4: assuming that the hallucinations in the airs go away, because

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Speaker 4: there are times where it is truly magical, truly magical,

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Speaker 4: and if that were to happen with a human level efficacy,

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Speaker 4: anybody running a company, I'm telling you, with someone who

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Speaker 4: runs a company, they're always going to choose automation because

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Speaker 4: they're going to believe that over time it's going to

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Speaker 4: make their company more profitable and it's going to create

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Speaker 4: more jobs. And that might be true, and that often

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Speaker 4: is true with technology that in the long arc, it

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Speaker 4: creates more jobs. What's different here is this is a

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Speaker 4: technology that could hit hard in the next six to

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Speaker 4: eighteen months, and it's going to hit every single role

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Speaker 4: potentially simultaneously. And something that fast, with that kind of

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Speaker 4: breath could have a much bigger effect than almost any

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Speaker 4: of the topics that they're debating on Capitol Hill. And

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Speaker 4: when you talk to members of Congress, it's alarming how

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Speaker 4: little they know about this topic and how little and

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Speaker 4: how infrequently they talk to their constituents about it. You're

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Speaker 4: doing a disservice to the country if you're not starting

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Speaker 4: to think through what does the world look like in

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Speaker 4: eighteen months to three years.

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Speaker 5: This is the primal scream of a dying regime. Pray

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Speaker 5: for our enemies because we're going to medieval on these people.

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Speaker 5: You've not got a free shot. All these networks lying

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Speaker 5: about the people. The people have had a belly full

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Speaker 5: of it. I know you don't like hearing that. I

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Speaker 5: know you've tried to do everything in the world to

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Speaker 5: stop there, but you're not going to stop it. It's

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Speaker 5: going to happen.

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Speaker 7: And where do people like that go to share the

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Speaker 7: big line? Mega media?

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Speaker 5: I wish in my.

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Speaker 4: Soul, I wish that any of these people had a conscience.

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Speaker 5: Ask yourself, what is my task and what is my purpose?

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Speaker 7: If that answer is to save my country, this country

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Speaker 7: will be saved.

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Speaker 6: WO use your host, Stephen Kba.

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Speaker 5: It's Wednesday, twenty eight May. Ye're of Warler twenty twenty five. Okay.

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Speaker 5: This is the reason we brought in Joe Allen over

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Speaker 5: four years ago to be our editor for all things

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Speaker 5: artificial intelligence. This is why he wrote the great book

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Speaker 5: Dark aon This is why he puts material up every day.

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Speaker 5: It's been with us. Is working on another huge project

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Speaker 5: for us. Right now. Today's shows packed, Mark Mitchell're gonna

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Speaker 5: come in and talk about some polling blowaway polling for

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Speaker 5: President Trump of what we voted for, Jim Rickards, Kurt Mills,

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Speaker 5: Jack Bosobic. Folks, I hope you realize this, we said

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Speaker 5: President Trump on the first things he's going to do

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Speaker 5: and put his shoulder to the wheel is to stop

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Speaker 5: the kinetic part of the Third World War. It is

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Speaker 5: we are getting sucked in moment by moment into a

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Speaker 5: kinetic conflict on the original land mass in Ukraine. And

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Speaker 5: part of this is driven by wait for it, artificial

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Speaker 5: intelligence and advanced technology. We're going to have a terrific

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Speaker 5: group to walk through that I've got Joe Allen. So, Joe,

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Speaker 5: this is one aspect of artificial intelligence that we have

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Speaker 5: to get in front of. And the warm posse, as

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Speaker 5: you know, is so up to date on this because

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Speaker 5: we talk about this all the time. We've brought you

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Speaker 5: and you've done more than a magnificent job. But when

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Speaker 5: they talk because it's the situation of control technology being

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Speaker 5: used for military aspects, This technology which could have and

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Speaker 5: may have tremendous upside for man, but it's got such

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Speaker 5: unlimited dark side and downside that it has to be reviewed,

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Speaker 5: thought through until you know, this thing spins out of control.

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Speaker 5: One on the on the employment that I've been hammering

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Speaker 5: on for now for a couple of years. Just in

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Speaker 5: the last few days Semaphore, Ben Smith's operation Semaphore did

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Speaker 5: an amazing interview with Cognizance CEO and the buried lead

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Speaker 5: which was not in the headline. He said today twenty

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Speaker 5: and they're one of the biggest of these IT companies.

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Speaker 5: He said, Hey, twenty two percent of all our coding

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Speaker 5: today is done by artificial intelligence. He said, within the

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Speaker 5: next twelve months at least fifty percent and going to

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Speaker 5: essentially he said, I think he implied seventy five to

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Speaker 5: eighty percent of all coding. You will have coding managers,

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Speaker 5: but the coding will be done for artificial intelligence. Microsoft

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Speaker 5: the other day, I think laid off what three thousand

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Speaker 5: people announced the three thousand layoff thirty percent because of

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Speaker 5: AI IBM yesterday or two days ago, announced eight thousand

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Speaker 5: people out of their human resources department, implied that it

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Speaker 5: was one hundred percent because of our official intelligence. This

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Speaker 5: is just not encoding. Entry level and kind of all

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Speaker 5: the way up to mid level administrative, managerial, and tech

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Speaker 5: jobs are going to get eviscerated because the model that

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Speaker 5: Wall Street's looking at right now with all this infusion

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Speaker 5: of capital is an efficiency model. It's not about greater

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Speaker 5: productivity and greater creativity that may come later. Right now,

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Speaker 5: this is they're getting rid of bodies. Okay, to be blunt,

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Speaker 5: because they want to drive up earnings, they want hire

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Speaker 5: operating margins. We have to face this because once it's

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Speaker 5: here and they said something there that's very important. Peter

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Speaker 5: Navara put an amazing piece in the hill. Bratt and

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Speaker 5: I are going to break it all down at six

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Speaker 5: o'clock tonight, they really got into the theory of the

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Speaker 5: case we're talking about, of of what is really in

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Speaker 5: this bill of tariffs and and and and what the

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Speaker 5: supply side tax are going to do. And he makes

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Speaker 5: a very compelling case on the upside, which I support. However,

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Speaker 5: in this in this vander Hey piece, which everybody has

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Speaker 5: to read, and Grace, we got to put it out.

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Speaker 5: You need to read the Axios piece. Today. They're talking

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Speaker 5: about Hey, because of artificial intelligence and some of what

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Speaker 5: Trump's doing, you could have ten percent growth, but you

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Speaker 5: also may have ten to twenty percent unemployment, particularly of

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Speaker 5: people under thirty. And the pressure we have on these

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Speaker 5: people under thirty is great enough. Right now, Joe, you

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Speaker 5: were able to splice in a couple other shocking artificial

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Speaker 5: intelligence parts into the cold open. Explain, take a crack.

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Speaker 5: We got a couple of minutes. You're going to be

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Speaker 5: here for a couple of segments. In fact, you're going

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Speaker 5: to hang over for the military aspect too. Talk to

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Speaker 5: me about the vander Hay Axious piece, because Axios is

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Speaker 5: the consensus, kind of the cutting edge ahead of the game,

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Speaker 5: consensus of Washington, DC, and of course at Premier this

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Speaker 5: morning on morning, Joe, Your thoughts, sir.

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Speaker 9: I think the most shocking thing about that entire interview

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Speaker 9: is vander Hay openly saying that Axidos is incorporating AI

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Speaker 9: into all aspects of their business or as many are

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Speaker 9: as possible, and that they're writers, and that they're editors

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Speaker 9: and proofreaders and the copywriters content creators will basically be

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Speaker 9: forced to augment themselves with AI. There are two reasons

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Speaker 9: this is bothersome. One, this is the main message coming

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Speaker 9: out of Silicon Valley. This is the main message coming

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Speaker 9: out of the World Economic Forum. The idea of the

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Speaker 9: Fourth Industrial Revolution is that you won't be able to

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Speaker 9: get by without fusing your physical, your digital, and biological

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Speaker 9: identities basically as a writer, as an editor, as a

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Speaker 9: graphic artist. If you do not make AI a component

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Speaker 9: of your personality of your profession, you will get left

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Speaker 9: behind cyborg guys or die. The second thing, though, that's

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Speaker 9: really bothersome. He mentioned the hallucinations, but the hallucination problem

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Speaker 9: in AI has only gotten worse as the systems get

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Speaker 9: bigger and more sophistic dedicated. Nobody really knows why, but

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Speaker 9: one of the reasons most likely is that the freedom

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Speaker 9: that is allowed. The degrees of freedom allowed with AI

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Speaker 9: basically mean that the AI is free to lie to you,

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Speaker 9: to make things up. Now, these are the kinds of

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Speaker 9: criticisms you have to keep in mind about the powers

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Speaker 9: of AI. But those videos that you just saw, both

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Speaker 9: the Clarna CEO and also the protesters, that the visuals

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Speaker 9: were entirely generated by AI.

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Speaker 6: If we had shown you the cutting edge of AI video.

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Speaker 9: Generation three years ago, which we did, if you go

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Speaker 9: back and look, they are clunky, they are warped.

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Speaker 6: This is a whole new level.

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Speaker 5: You hang over one second and take a break. Maybe

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Speaker 5: we'll come back with that. We have to get ahead

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Speaker 5: of this war. Imposse's got to do this or we're

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Speaker 5: going to have mass unemployment among particularly entry level of

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Speaker 5: people under thirty short break back in a moment.

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Speaker 6: It's slop, like total slop. Yes, AI slop.

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Speaker 7: It's everywhere. A.

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Speaker 2: I will not replace us. A.

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Speaker 6: I will not replace us. A. I will not replace us. Hey,

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Speaker 6: I will not replace us. I'm being replaced. I will not.

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Speaker 5: What I want to do. I see that. That's great,

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Speaker 5: that's part of it. But I also want to go

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Speaker 5: back and we can load the beginning of that clip

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Speaker 5: which is even I think more disturbing with the crowd

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Speaker 5: shots and everything like that. So if tell me when

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Speaker 5: we denver, tell me when we got that loaded. Three

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Speaker 5: things are happening today and folks to connect the dots

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Speaker 5: are all driven by artificial intelligence. Number One, thee this

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Speaker 5: Ukraine War did targeting in Ukraine and we're getting sucked

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Speaker 5: in this. The Ukrainians had a massive attack drone attack

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Speaker 5: into Moscow last night. Alex Jones has got this great

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Speaker 5: video of him like going on a rant for five

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Speaker 5: minutes saying the Russian attack over the weekend was pretty brutal.

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Speaker 5: Is in response to a drone attack on trying to

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Speaker 5: assassinate Putin. He's got some pretty good details, so he's

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Speaker 5: very dialed in. When you talk about drones, that's only

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Speaker 5: protect They're all the fire control solutions are coming from

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Speaker 5: artificial intelligence. So we're being sucked in marked this down.

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Speaker 5: We are with all of President Trump's efforts, we are

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Speaker 5: moment by moment, being sucked into a kinetic part of

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Speaker 5: a third World war in Ukraine. Number Two, Elon Muski

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Speaker 5: is a very I think unacceptable and unnecessary interview with

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Speaker 5: CBS this weekend is breaking really critical of President Trump.

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Speaker 5: But the whole issue is dozed in artificial intelligence. What

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Speaker 5: did they actually find? What was it good for? I

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Speaker 5: talked to a lot of people in the Administration's happened.

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Speaker 5: That's all about artificial intelligence, or a lot of it is.

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Speaker 5: And then third, you've got this issue now coming up

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Speaker 5: as you're starting to have these earning reports, and these

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Speaker 5: tech companies and some of these big corporations are kind

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Speaker 5: of bearing bearing down in like the fiftieth paragraph of

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Speaker 5: the earnings report. Oh yeah, we're about to let go

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Speaker 5: five ten thousand people. And they either say out right

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Speaker 5: it's about artificial intelligence, or because they don't want to

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Speaker 5: be they imply it's because of artificial intelligence. So this

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Speaker 5: is every day metastasizing. And if you just wanted to

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Speaker 5: metastasize and hey, we'll see what happens in the devil

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Speaker 5: catch of the hindmost then find just sit back and

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Speaker 5: accept it. If you want to say, yo, we can't

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Speaker 5: let technology be our master, and that's what's happening here,

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Speaker 5: Joe Allen, your thoughts, sir.

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Speaker 6: Yeah, this is going to be very difficult to master.

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Speaker 9: Let's just assume that these technologies remain as flawed as

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Speaker 9: they are right now, we know that the people creating them,

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Speaker 9: and we know you hear it there on Morning Joe

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Speaker 9: with the Axios editor that corporations across America and across

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Speaker 9: the world are intent on incorporating AI and the blue

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Speaker 9: collar level robotics at every level anywhere possible to make

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Speaker 9: it more efficient. They will replace human beings. This is

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Speaker 9: being incorporated in education with AI teachers. This is being

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Speaker 9: incorporated in medicine. You have doctor Oz talking about that

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Speaker 9: physicians who do not consult AI in the near future

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Speaker 9: will be considered negligent.

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Speaker 6: This is being incorporated in the government.

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Speaker 9: You see it with Doge clearing the way for AI

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Speaker 9: to be used to employ or to basically replace government

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Speaker 9: employees or force government employees to use it to become

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Speaker 9: quote unquote more productive. And then of course in the military,

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Speaker 9: AI is being heralded as the key to geopolitical power

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Speaker 9: in the future. But let's imagine they remain this flawed.

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Speaker 9: Then that means basically, we are intentionally willfully crippling ourselves

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Speaker 9: with flawed technologies that do have some aspects of superiority

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Speaker 9: as far as data gathering and analysis, but ultimately our

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Speaker 9: rife with hallucinations and other sorts of glitches, or let's.

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Speaker 6: Imagine that they are.

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Speaker 9: These technologies are refined to the point the Elon Musk

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Speaker 9: believes they will be, that Sam Altman believes they will be,

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Speaker 9: the Dario armadae anthropic believes they will be.

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Speaker 7: Well.

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Speaker 9: Then that means these hyper effective, hyper efficient machines will

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Speaker 9: first forcefully augment human workers who are basically cornered and

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Speaker 9: have to adopt them, and then replace first coders and

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Speaker 9: then most white collar jobs and then most blue collar

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Speaker 9: jobs with robotic if it goes the way that it

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Speaker 9: is total replaced.

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Speaker 5: Hangover a second, I want to get to that. So

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Speaker 5: blue collar are skilled artisans in and even the robotics

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Speaker 5: in the factory are not the first wave I just

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Speaker 5: sent to. Even as we speak, the great Dave Ramaswami

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Speaker 5: sent me McKenzie, which is the premier consulting firm throughout

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Speaker 5: the world, is going to shed ten percent of the

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Speaker 5: worldwide staff. And the implication here is that most of

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Speaker 5: that is driven by artificial intelligence. Ten percent of the

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Speaker 5: consultant of the administrative, low level, managerial, and lower level

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Speaker 5: consulting at mackenzie. And that's just the first cut, right

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Speaker 5: go back and hit this again, and then I'll play

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Speaker 5: the Altman Fetterman clip. Hit it again that this process

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Speaker 5: of what's going to happen is going to eat through

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Speaker 5: and burn through because it's an efficiency model. All these

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Speaker 5: guys are putting this out in their earnings report because

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Speaker 5: they want to show Wall Street that, hey, we get it.

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Speaker 5: The first use of artificial intelligence is not to make

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Speaker 5: things better and more productive. That's all going to come

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Speaker 5: later their first and they'll talk about that, but the

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Speaker 5: first they're doing is efficiency. Let's get rid of the humans, right,

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Speaker 5: particularly on the managerial side and administrative side and technological side,

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Speaker 5: people that don't have advanced skills, right, so they're not

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Speaker 5: like top level surgeons. They're more of the people. When

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Speaker 5: you go into augment, your local general practitioner, he's got

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Speaker 5: an AI robot that takes the place of five or

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Speaker 5: six people on staff. On the media side, I know

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Speaker 5: this talking about our show is very different and kind

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Speaker 5: of you know, I think it up with the production staff,

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Speaker 5: we get our expects on, we see what's what we

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Speaker 5: think is driving the narrative and what's important. But other staffs,

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Speaker 5: if you know, they're all reading off a screen, they

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Speaker 5: all have. They have writer staffs of writers, staffs of producers,

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Speaker 5: staffs of researchers. One person talked to me yesterday they

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Speaker 5: have a thirty person staff to put up a couple

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Speaker 5: hour show. They have done an analysis about artificial intelligence.

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Speaker 5: They can actually do their show today without the camera,

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Speaker 5: producers and those guys. They still keep those but on

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Speaker 5: the creative side of a thirty person staff, Joe, they

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Speaker 5: would keep three people. They would get rid of twenty

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Speaker 5: seven people if they're not going to do that. But

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Speaker 5: they said, but they're going to take a chunk. They're

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Speaker 5: probably going to let a third of the people go

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Speaker 5: here this year. So walk me through the progression plan

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Speaker 5: in here and how artificial intelligence is basically going to

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Speaker 5: replace the human in white collar jobs.

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Speaker 9: You know, these predictions have to be taken with a

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Speaker 9: grain of salt to some extent, because they're all over

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Speaker 9: the map as far as the exact numbers. Just for instance,

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Speaker 9: we were talking about this morning, Dario Amiday of Anthropic,

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Speaker 9: who vander Hay was referencing, told two months ago told

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Speaker 9: the Council on Foreign Relations that within three to six

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Speaker 9: months all coding or ninety percent of coding would be

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Speaker 9: done by AI.

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Speaker 6: That was two months ago, and he said.

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Speaker 9: That within a year is possible that all coding will

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Speaker 9: be done by AI one hundred percent, So that would

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Speaker 9: be ten months from now. This gives us a good

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Speaker 9: gauge to how accurate these predictions are, because we'll find

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Speaker 9: out very very soon how accurately Dario Amadei predicted this

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Speaker 9: wipeout of jobs. But one thing is clear, whether it

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Speaker 9: is ninety percent or whether it is one hundred percent,

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Speaker 9: or whether it's forty percent, this is major. And whether

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Speaker 9: the models hallucinate thirty percent of the time or ten

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Speaker 9: percent of the time or fifty percent of the time,

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Speaker 9: they want to incorporate them anyway. So kind of the

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Speaker 9: cascade begins, ironically enough, in Silicon Valley with the coders.

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Speaker 9: It moves outward to scriptwriters, to content creators, to editors, proofreaders,

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Speaker 9: to graphic artists, to video generation creative jobs that are.

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Speaker 6: Being eaten up by AI slop.

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Speaker 9: Even if it is slop, it's the slot that the

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Speaker 9: managers and the owners and the board members want.

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Speaker 6: From there, you have kind of mid level jobs, white

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Speaker 6: collar jobs.

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Speaker 9: You've got paralegals, receptionists, customer service, bank tellers, on and

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Speaker 9: on and on. You also have medicine, radiologists and people

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Speaker 9: who have to look at you for details in scans.

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Speaker 9: But I don't know about the blue collar. Everybody thought

436
00:24:08,960 --> 00:24:11,560
Speaker 9: blue collar would be the first. That is definitely not happening.

437
00:24:12,480 --> 00:24:16,639
Speaker 9: What we do see for sure are rapid advances in

438
00:24:17,200 --> 00:24:20,920
Speaker 9: manufacturing automation, so these are kind of alien like arms

439
00:24:20,960 --> 00:24:23,840
Speaker 9: and whatnot that are working on cars or any other

440
00:24:24,240 --> 00:24:28,479
Speaker 9: electronics products. But you also have the rapid development now

441
00:24:28,560 --> 00:24:29,840
Speaker 9: of humanoid robots.

442
00:24:30,200 --> 00:24:31,600
Speaker 6: This is on down the road.

443
00:24:31,680 --> 00:24:35,360
Speaker 9: But if they can perfect something like a humanoid, then

444
00:24:35,560 --> 00:24:38,119
Speaker 9: you're talking about wiping out most blue collar jobs. The

445
00:24:38,280 --> 00:24:42,760
Speaker 9: real important point here is, though Steve, these people want this.

446
00:24:43,400 --> 00:24:46,960
Speaker 9: They're telling us that this greater replacement is for our

447
00:24:47,160 --> 00:24:50,479
Speaker 9: own good. So we're supposed to sit around on UBI

448
00:24:51,119 --> 00:24:54,479
Speaker 9: and entertain ourselves with aislop. I don't think that's an

449
00:24:54,480 --> 00:24:55,399
Speaker 9: acceptable future.

450
00:24:59,119 --> 00:25:02,080
Speaker 5: Real quickly, you got a minute before I go to break,

451
00:25:02,640 --> 00:25:05,879
Speaker 5: talk to me about the controversy of the humanoid robot.

452
00:25:06,000 --> 00:25:10,080
Speaker 5: Inside technology and artificial intelligence, there is a debate right

453
00:25:10,160 --> 00:25:12,920
Speaker 5: now of do you make the humanoid robot look human

454
00:25:13,640 --> 00:25:15,439
Speaker 5: or is that going to freak out humans too much?

455
00:25:15,520 --> 00:25:17,800
Speaker 5: Particularly in the first wave, should we make it look

456
00:25:17,920 --> 00:25:20,800
Speaker 5: like something else so it's not it doesn't freak people

457
00:25:20,840 --> 00:25:23,800
Speaker 5: out that there actually are being replaced by something that

458
00:25:23,880 --> 00:25:27,240
Speaker 5: looks just like them but happens to be a digital machine.

459
00:25:27,440 --> 00:25:27,600
Speaker 7: Sir.

460
00:25:28,840 --> 00:25:30,280
Speaker 6: You know, I think they'll go both ways.

461
00:25:30,640 --> 00:25:33,200
Speaker 9: If you look at the Amazon fulfillment centers with their

462
00:25:33,240 --> 00:25:36,760
Speaker 9: little humanoid robot digit it looks like something kind of ridiculous,

463
00:25:36,840 --> 00:25:39,480
Speaker 9: like a cartoon, something out of Star Wars. If you

464
00:25:39,520 --> 00:25:41,600
Speaker 9: look at Optimists, it looks like something that will strangle

465
00:25:41,680 --> 00:25:44,760
Speaker 9: you in your bed at night as you sleep. But

466
00:25:44,920 --> 00:25:47,000
Speaker 9: then you have and this is, you know, kind of

467
00:25:47,320 --> 00:25:50,000
Speaker 9: a crass, but you have people who look to these

468
00:25:50,119 --> 00:25:54,080
Speaker 9: robots for erotic purposes. And I think that's probably where

469
00:25:54,119 --> 00:25:57,200
Speaker 9: you're going to see the kind of companionship bots. That's

470
00:25:57,200 --> 00:25:59,640
Speaker 9: where you're going to see people start to accept these

471
00:26:00,040 --> 00:26:06,640
Speaker 9: change almost human, silicone faced robots as companions and romantic

472
00:26:06,720 --> 00:26:09,679
Speaker 9: partners and so on and so forth. It'll be varied,

473
00:26:10,080 --> 00:26:13,000
Speaker 9: but I think that it's going to be. It's happening now.

474
00:26:13,400 --> 00:26:15,800
Speaker 9: Some people will accept it, maybe most.

475
00:26:18,080 --> 00:26:20,960
Speaker 5: Hangover a second, we're get more into this, particularly the

476
00:26:21,119 --> 00:26:24,840
Speaker 5: Ukraine part of this war, with these drones and artificial intelligence,

477
00:26:24,920 --> 00:26:29,480
Speaker 5: fire control solutions. Dave bres gonna join me at six.

478
00:26:29,640 --> 00:26:32,200
Speaker 5: Peter Navar's got an incredible piece up in the hill,

479
00:26:33,080 --> 00:26:35,600
Speaker 5: walks through the entire kind of business model of President

480
00:26:35,640 --> 00:26:39,000
Speaker 5: Trump's putting out the economic model accounts everything. Markets are

481
00:26:39,040 --> 00:26:41,320
Speaker 5: going to be turbulent, folks. Just take that as a

482
00:26:41,400 --> 00:26:44,680
Speaker 5: constant over the next couple of years. Understand how to

483
00:26:44,760 --> 00:26:47,800
Speaker 5: hedge against it. Get the free good take your phone

484
00:26:47,840 --> 00:26:52,160
Speaker 5: out Bannon nine eight. Go to Birch Gold and get

485
00:26:52,200 --> 00:26:55,240
Speaker 5: the ultimate guide to investing in gold and precious metals

486
00:26:55,320 --> 00:26:56,480
Speaker 5: in the age of Trump.

487
00:26:57,240 --> 00:27:01,040
Speaker 6: Do it today, chanting again, it's the use of AI.

488
00:27:01,440 --> 00:27:04,600
Speaker 6: We will not be replaced by machines. We will not

489
00:27:04,800 --> 00:27:07,200
Speaker 6: be silenced. We will not back down.

490
00:27:07,400 --> 00:27:13,760
Speaker 5: You must conserve your special human bodily fluids.

491
00:27:16,520 --> 00:27:28,080
Speaker 6: No, no, what do you hate about AI? AI? I'm

492
00:27:28,160 --> 00:27:31,960
Speaker 6: extremely concerned about my fluids. AI doesn't have any fluids.

493
00:27:32,119 --> 00:27:34,080
Speaker 6: AI is not logical.

494
00:27:38,000 --> 00:27:41,920
Speaker 5: I don't believe AI can replicate true human creativity.

495
00:27:42,520 --> 00:27:47,440
Speaker 7: It can't pissing the toilet, ye or menstruit or check

496
00:27:47,800 --> 00:27:49,919
Speaker 7: encla ejackylate.

497
00:27:50,080 --> 00:27:52,280
Speaker 6: It can't do dishes, it can't walk the dog.

498
00:27:52,520 --> 00:27:55,240
Speaker 5: It's just stuck inside a little screen.

499
00:27:57,280 --> 00:28:01,399
Speaker 7: It's slot.

500
00:28:01,680 --> 00:28:05,920
Speaker 5: By the way, that's all. That's all artificial intelligence right there.

501
00:28:06,560 --> 00:28:09,240
Speaker 5: I've got Ricords on. So Jim, we've been talking about

502
00:28:09,359 --> 00:28:11,760
Speaker 5: mackenzie just announced and letting go ten percent of their workforce,

503
00:28:11,840 --> 00:28:16,600
Speaker 5: about this really incredible piece by vander Hay and Mike

504
00:28:16,680 --> 00:28:18,760
Speaker 5: Allen over at Axios, And it was on Morning Joe

505
00:28:18,800 --> 00:28:23,480
Speaker 5: this morning about this, quite frankly, a white collar job

506
00:28:23,600 --> 00:28:26,640
Speaker 5: apocalypse is coming. I've got you on the this morning

507
00:28:26,720 --> 00:28:29,320
Speaker 5: for geopolitics and all this and how we're getting sucked in.

508
00:28:29,520 --> 00:28:32,720
Speaker 5: I think more and more to the kinetic war in

509
00:28:32,920 --> 00:28:36,880
Speaker 5: Ukraine and around that kind of arc of instability. Prince.

510
00:28:37,080 --> 00:28:39,920
Speaker 5: One of the big reasons is artificial intelligence, and particularly

511
00:28:40,000 --> 00:28:44,600
Speaker 5: sophistication of artificial intelligence in drone warfare and fire control solutions. So,

512
00:28:44,720 --> 00:28:48,600
Speaker 5: first off, your overall assessment of and Wall Street looks

513
00:28:48,640 --> 00:28:51,480
Speaker 5: like it's on an efficiency model. You know, McKenzie once

514
00:28:51,520 --> 00:28:54,840
Speaker 5: announced ten percent layoffs Cognizance, saying that fifty percent of

515
00:28:54,880 --> 00:28:59,240
Speaker 5: their coders are gone within twelve months. Your thoughts on

516
00:28:59,320 --> 00:29:02,200
Speaker 5: both the employee I'm mad part of this, the coming apocalypse,

517
00:29:02,680 --> 00:29:04,880
Speaker 5: and I want to get into Ukraine and and it

518
00:29:05,080 --> 00:29:09,160
Speaker 5: really looks like uncertainty among American policy because Lindsay Graham

519
00:29:09,240 --> 00:29:12,160
Speaker 5: and the and the warhawks are banging the drum that hey,

520
00:29:12,200 --> 00:29:15,000
Speaker 5: we're going all in. Jim Rickers, thank you for joining

521
00:29:15,080 --> 00:29:15,880
Speaker 5: us this morning the war.

522
00:29:17,440 --> 00:29:17,640
Speaker 7: Yeah.

523
00:29:17,800 --> 00:29:18,000
Speaker 5: Thanks.

524
00:29:18,040 --> 00:29:21,640
Speaker 7: You're absolutely right about the job replacement aspect of AI.

525
00:29:21,680 --> 00:29:23,720
Speaker 7: There's a lot more to it. And I know this

526
00:29:23,880 --> 00:29:26,240
Speaker 7: is not book TV, but my new book Money GPT

527
00:29:26,960 --> 00:29:29,840
Speaker 7: is all about AI as applied to capital markets. But

528
00:29:29,960 --> 00:29:32,920
Speaker 7: also this is a chapter of nuclear war fighting. Annie

529
00:29:32,960 --> 00:29:35,080
Speaker 7: Jacobson had a great book called Nuclear War. She doesn't

530
00:29:35,120 --> 00:29:38,120
Speaker 7: really talk about AI, but there's there's never been a

531
00:29:38,200 --> 00:29:40,800
Speaker 7: better book about what a nuclear war would look like.

532
00:29:41,160 --> 00:29:43,240
Speaker 7: What I do in one of my chapters, I inject

533
00:29:43,400 --> 00:29:45,920
Speaker 7: AI into the kill chain and show how that could

534
00:29:46,000 --> 00:29:49,760
Speaker 7: make nuclear war more likely. So there's a lot. There's

535
00:29:49,760 --> 00:29:51,160
Speaker 7: a lot to it. But the job thing, I just,

536
00:29:51,920 --> 00:29:54,280
Speaker 7: you know, just for personal reasons. I've been spending all

537
00:29:54,360 --> 00:29:56,440
Speaker 7: time in the hospital lately, and the nurses and the

538
00:29:56,520 --> 00:29:59,400
Speaker 7: nurse practitioners they have this little pause it let's tell

539
00:29:59,400 --> 00:30:01,920
Speaker 7: a little Michael on the wear and it's all AI.

540
00:30:02,000 --> 00:30:04,480
Speaker 7: I mean, they're real, but something says, you know, nurse

541
00:30:04,560 --> 00:30:07,840
Speaker 7: in room thirty, please check in, and you do. They

542
00:30:07,920 --> 00:30:10,680
Speaker 7: do and they get instructions go to room twenty five

543
00:30:10,760 --> 00:30:12,560
Speaker 7: or whatever. That's all I out and I can hear it.

544
00:30:12,640 --> 00:30:14,800
Speaker 7: I know it's a robotic voice. There used to be

545
00:30:14,880 --> 00:30:16,640
Speaker 7: somebody who did that, you know, somebody who sat there

546
00:30:16,720 --> 00:30:18,760
Speaker 7: like a dispatcher and tried to move the nurses around.

547
00:30:19,080 --> 00:30:23,320
Speaker 7: So it's everywhere. That's going to continue. Now the question

548
00:30:23,400 --> 00:30:26,480
Speaker 7: is where where does it go and what's the significance

549
00:30:26,520 --> 00:30:28,920
Speaker 7: of it. You were talking about creatives that you know,

550
00:30:29,040 --> 00:30:32,920
Speaker 7: TV writers basically, or people who are creative for shows.

551
00:30:33,360 --> 00:30:35,720
Speaker 7: I've taken a number of tests where you get two samples,

552
00:30:35,800 --> 00:30:39,080
Speaker 7: ones AI generated, ones written by you know, human and

553
00:30:40,080 --> 00:30:42,440
Speaker 7: but both anonymous. Can you spot it? I can spot

554
00:30:42,520 --> 00:30:45,200
Speaker 7: the AI and like a sentence or maybe two. But

555
00:30:45,840 --> 00:30:51,160
Speaker 7: it's pretty easy. Now. Can AI produce grammatical English? You

556
00:30:51,160 --> 00:30:53,080
Speaker 7: know other languages? You know, just say English? Can I

557
00:30:53,120 --> 00:30:55,680
Speaker 7: write a script? Can I write a book? Yes? It can?

558
00:30:56,240 --> 00:30:58,520
Speaker 7: But is it any good? And what it cannot do?

559
00:30:58,600 --> 00:31:00,320
Speaker 7: There's something this is I had to get to geeky,

560
00:31:00,360 --> 00:31:04,080
Speaker 7: but something called the law of conservation of information in

561
00:31:04,200 --> 00:31:06,320
Speaker 7: the search world, and what it says is that no

562
00:31:06,440 --> 00:31:08,160
Speaker 7: matter how much speed you have, no matter how much

563
00:31:08,200 --> 00:31:11,840
Speaker 7: AI you have, it will never find anything new. It

564
00:31:11,880 --> 00:31:13,720
Speaker 7: can find it faster. It can find the places you

565
00:31:13,720 --> 00:31:17,520
Speaker 7: wouldn't look. It can find connections that humans would take

566
00:31:17,880 --> 00:31:20,480
Speaker 7: decades if ever to discover. So I'm not saying it's

567
00:31:20,520 --> 00:31:22,760
Speaker 7: not valuable, but it doesn't come up with anything new.

568
00:31:23,120 --> 00:31:25,440
Speaker 7: You can, I can, our viewers can. We can come

569
00:31:25,520 --> 00:31:27,040
Speaker 7: up with a new idea and you know in the

570
00:31:27,080 --> 00:31:30,280
Speaker 7: next thirty seconds. But AI cannot. It can only find stuff.

571
00:31:30,680 --> 00:31:32,520
Speaker 7: So now you've got this world where we're going to

572
00:31:32,520 --> 00:31:36,040
Speaker 7: substitute AI for humans, but you're losing the creativity. And

573
00:31:36,120 --> 00:31:38,240
Speaker 7: then you've got Zuckerberg and others saying, well, what's the

574
00:31:38,280 --> 00:31:40,920
Speaker 7: big deal, We'll just give everybody a check. This guarantee

575
00:31:40,960 --> 00:31:43,560
Speaker 7: basic income or it goes by a couple of different names,

576
00:31:44,200 --> 00:31:47,880
Speaker 7: but yeah, put everyone on a government payroll, lett them

577
00:31:47,880 --> 00:31:49,840
Speaker 7: meet to Reado's watch TV, and let a handful of

578
00:31:49,840 --> 00:31:52,440
Speaker 7: people around the world that's what they're getting at. They

579
00:31:52,520 --> 00:31:55,640
Speaker 7: won't get there, And I explained why in my book

580
00:31:56,160 --> 00:31:59,720
Speaker 7: that it has to do with the lack of common sense.

581
00:32:00,240 --> 00:32:03,360
Speaker 7: But the dangers along the way, like, yeah, this is efficient,

582
00:32:03,400 --> 00:32:05,200
Speaker 7: I just get rid of you ten percent of my workforce.

583
00:32:05,280 --> 00:32:08,720
Speaker 7: Whatever that's happening. It's going to continue to happen. But

584
00:32:09,360 --> 00:32:12,760
Speaker 7: we're counting the we're counting independenties in most savings, and

585
00:32:12,840 --> 00:32:15,160
Speaker 7: we're ignoring the dangers, which are the ones I refer to,

586
00:32:15,240 --> 00:32:18,240
Speaker 7: which is it doesn't have common sense, it doesn't have empathy.

587
00:32:18,560 --> 00:32:22,120
Speaker 7: You actually can't program that. You cannot program common sense,

588
00:32:22,520 --> 00:32:24,640
Speaker 7: but take it out of the equation of decision making

589
00:32:24,680 --> 00:32:25,560
Speaker 7: and you get disaster.

590
00:32:26,160 --> 00:32:29,800
Speaker 5: But sometimes, but sometimes it overwhelms common sense. Let's go

591
00:32:29,840 --> 00:32:32,000
Speaker 5: to your kill chain theory. And by the way, if

592
00:32:32,080 --> 00:32:35,480
Speaker 5: you go to Records Warroom dot com the landing page,

593
00:32:35,920 --> 00:32:39,720
Speaker 5: you get as access to strategic intelligence. This is a

594
00:32:39,840 --> 00:32:41,920
Speaker 5: c suite read if you want to see what chairman

595
00:32:41,960 --> 00:32:45,840
Speaker 5: and CEO's decision makers throughout the world are reading and

596
00:32:45,960 --> 00:32:48,440
Speaker 5: incorporating the decision maker. This is what Jim gives you

597
00:32:48,560 --> 00:32:50,920
Speaker 5: access to. So you got the war room and you

598
00:32:51,040 --> 00:32:55,600
Speaker 5: got Records Strategic Intelligence, you're loaded for bear. He also

599
00:32:55,720 --> 00:32:59,280
Speaker 5: throws in the book money GPT, which I told you, Hey,

600
00:32:59,480 --> 00:33:01,560
Speaker 5: it's you read it. You're not going to be sleeping

601
00:33:01,960 --> 00:33:03,640
Speaker 5: on the first night after you read it. Part of

602
00:33:03,680 --> 00:33:06,240
Speaker 5: it is that nuclear talk to me about the kill chain.

603
00:33:07,280 --> 00:33:10,120
Speaker 5: My concern now is in Ukraine, you see an escalation

604
00:33:11,040 --> 00:33:13,160
Speaker 5: and it's not troops and trenches right now, they're not

605
00:33:13,240 --> 00:33:16,320
Speaker 5: fighting for strategic hamlets. You've got an air war going

606
00:33:16,360 --> 00:33:18,600
Speaker 5: on that is a sophisticated in air wars you've ever

607
00:33:18,640 --> 00:33:21,720
Speaker 5: seen with these drones. And if you believe Alex Jones

608
00:33:21,760 --> 00:33:24,600
Speaker 5: and I do, the response to the Ukrainians is coming

609
00:33:24,680 --> 00:33:26,920
Speaker 5: are the Russians that's kind of escalayed. This is coming

610
00:33:26,960 --> 00:33:29,960
Speaker 5: off a very sophisticated attack to try to take down

611
00:33:30,040 --> 00:33:33,880
Speaker 5: Putin And this is all driven by artificial intelligence. This

612
00:33:33,960 --> 00:33:37,160
Speaker 5: could not happen unless you had artificial intelligence. Is that

613
00:33:37,440 --> 00:33:40,640
Speaker 5: leading us into really a shooting war where we're going

614
00:33:40,720 --> 00:33:41,920
Speaker 5: to be an active participant?

615
00:33:42,200 --> 00:33:47,640
Speaker 7: Jim recerts, Yes, there's no doubt that that's from Macron

616
00:33:48,320 --> 00:33:52,440
Speaker 7: Starmer immersed in Germany. You know, the EUS such as

617
00:33:52,520 --> 00:33:58,160
Speaker 7: they are, Zelenski himself warmongers, and the US Lindsay led

618
00:33:58,160 --> 00:33:59,800
Speaker 7: by Lindsay Graham, but with a lot of support of

619
00:34:00,200 --> 00:34:02,720
Speaker 7: other people in it, and candidly Mike Wallace, who you

620
00:34:02,760 --> 00:34:05,040
Speaker 7: know was kind of out as National Security Advisor, but

621
00:34:05,480 --> 00:34:08,320
Speaker 7: some of those people were in the White House. That's

622
00:34:08,360 --> 00:34:10,920
Speaker 7: what they wanted all along, and you know this we're

623
00:34:10,920 --> 00:34:13,160
Speaker 7: going to have We're gonna have a ceasefire, and then

624
00:34:13,160 --> 00:34:15,640
Speaker 7: we're going to send troops in to enforce the ceasefire. Well,

625
00:34:15,680 --> 00:34:17,920
Speaker 7: first of all, the seafires of Pra The West has

626
00:34:18,040 --> 00:34:20,480
Speaker 7: lied about every engagement with Putin. You can't blame Putin

627
00:34:20,880 --> 00:34:23,240
Speaker 7: for not trusting the West. I'm not signing after a ceasfire.

628
00:34:23,320 --> 00:34:25,640
Speaker 7: Minsk one was a lie. Angela Merkel said, so, I mean,

629
00:34:25,680 --> 00:34:27,960
Speaker 7: that's not just my speculation. After the fact, you say

630
00:34:28,000 --> 00:34:29,600
Speaker 7: we never intended to do a bide by that mins

631
00:34:29,680 --> 00:34:33,080
Speaker 7: to same thing the CIA and m I six and

632
00:34:33,719 --> 00:34:38,160
Speaker 7: Victoria Newland running the coup in twenty fourteen. Then Putin

633
00:34:38,200 --> 00:34:42,000
Speaker 7: takes Crimea. It's like then they then they continue to

634
00:34:42,080 --> 00:34:45,880
Speaker 7: attack the Russian speaking population eastern Ukraine. Putin launches a

635
00:34:45,920 --> 00:34:48,880
Speaker 7: special military operation, same thing in Georgia in two thousand

636
00:34:48,880 --> 00:34:50,640
Speaker 7: and eight, said what what part of invasion do you

637
00:34:50,719 --> 00:34:53,200
Speaker 7: not understand? You keep pushing Putin And by the way,

638
00:34:53,239 --> 00:34:55,719
Speaker 7: see in the past week, the last couple of days

639
00:34:55,760 --> 00:34:57,719
Speaker 7: actually New York Times and the other kind of deep

640
00:34:57,760 --> 00:35:02,400
Speaker 7: state outlets where you know, Russia launches the greatest attack,

641
00:35:02,560 --> 00:35:06,680
Speaker 7: most strones, most targets, most explosives, etc. On Ukraine, which

642
00:35:06,760 --> 00:35:08,680
Speaker 7: is true, by the way, but what they left out

643
00:35:08,920 --> 00:35:12,000
Speaker 7: was that that was in retaliation to a large Ukrainian

644
00:35:12,080 --> 00:35:15,600
Speaker 7: attack in the days before, deep inside Russia. And just

645
00:35:15,840 --> 00:35:18,760
Speaker 7: quick footnote, Mertz, I don't know, you're not that powerful. Actually,

646
00:35:18,800 --> 00:35:23,040
Speaker 7: the Chancellor of Germany okayed the use of Western weapons

647
00:35:23,080 --> 00:35:25,760
Speaker 7: and German weapons to strike deeper, you know, basically Moscow,

648
00:35:26,239 --> 00:35:29,920
Speaker 7: deeper inside Russia. They did try to kill Putin. He

649
00:35:30,080 --> 00:35:32,400
Speaker 7: was visiting Kurse, which is part of the Rustern Federation.

650
00:35:32,920 --> 00:35:37,000
Speaker 7: That but but hangover a second. But Mertz, we're gonna

651
00:35:37,000 --> 00:35:39,560
Speaker 7: have Harna will on here because horn will do the research.

652
00:35:40,160 --> 00:35:43,680
Speaker 7: Mertz implied that the Americans it was. It was France,

653
00:35:44,080 --> 00:35:46,560
Speaker 7: the United Kingdom and Germany and the United States, the

654
00:35:46,600 --> 00:35:48,920
Speaker 7: Big four in NATO, he implied.

655
00:35:49,000 --> 00:35:50,719
Speaker 5: I think he lied. I haven't seen anything out of

656
00:35:50,719 --> 00:35:53,000
Speaker 5: the White House. I haven't seen advisers saying that we've

657
00:35:53,080 --> 00:35:57,719
Speaker 5: had ben kind of search. And Tammy Bruce, our dear

658
00:35:57,840 --> 00:36:00,440
Speaker 5: friend who's over at the State Department, wouldn't confirm or

659
00:36:00,480 --> 00:36:04,400
Speaker 5: deny yesterday when confronted by reporters. So this is my

660
00:36:04,480 --> 00:36:06,640
Speaker 5: point about sucking the United States in. Do you believe

661
00:36:06,680 --> 00:36:10,360
Speaker 5: that we've authorized the use of those weapons to do

662
00:36:10,560 --> 00:36:15,240
Speaker 5: deep strikes into Russia, sir, Yes, either.

663
00:36:15,080 --> 00:36:17,279
Speaker 7: Explicitly or implicitly. What I mean by that is that

664
00:36:17,360 --> 00:36:19,080
Speaker 7: they're talking about it and they're starting to do it.

665
00:36:19,480 --> 00:36:21,319
Speaker 7: The US is on board. Let me put it differently. See,

666
00:36:21,320 --> 00:36:23,959
Speaker 7: if the US didn't want that to happen, it wouldn't happen.

667
00:36:24,600 --> 00:36:27,319
Speaker 7: So if it's happening, and I believe it is, then

668
00:36:27,320 --> 00:36:29,440
Speaker 7: the US has green lighted it one way or another.

669
00:36:30,560 --> 00:36:36,040
Speaker 7: But whether it's money, weapons, deeper strikes inside Russia, you know,

670
00:36:36,040 --> 00:36:38,480
Speaker 7: the use of drones, You're absolutely right about artificial intelligence.

671
00:36:39,000 --> 00:36:42,440
Speaker 7: Ukraine doesn't have that kind of artificial intelligence. Ukraine doesn't

672
00:36:42,480 --> 00:36:45,200
Speaker 7: have the satellite surveillance, they don't have the computers, they

673
00:36:45,239 --> 00:36:48,200
Speaker 7: don't have the targeting ability. That's all this has been revealed.

674
00:36:48,239 --> 00:36:52,800
Speaker 7: I mean, it's not a surprise. It's all being supplied

675
00:36:52,840 --> 00:36:55,960
Speaker 7: by the United States in West Germany, et cetera. And

676
00:36:56,239 --> 00:36:58,560
Speaker 7: it's all designed to put pressure on Putin. But I

677
00:36:58,880 --> 00:37:00,920
Speaker 7: don't know what happened to the rest in ability to

678
00:37:01,000 --> 00:37:03,520
Speaker 7: understand Russia and Putin. They don't. I mean a couple

679
00:37:03,520 --> 00:37:05,359
Speaker 7: of things about Putin. I'll just tell you he does

680
00:37:05,440 --> 00:37:08,080
Speaker 7: not bluff. If he says he's doing something, he'll do it.

681
00:37:08,120 --> 00:37:09,640
Speaker 7: If he says going to do something, he'll do. He

682
00:37:09,680 --> 00:37:12,600
Speaker 7: does not bluff this idea that Putin's bluffing. Let's call

683
00:37:12,680 --> 00:37:14,960
Speaker 7: his bluff. Let's say a short, short path to World

684
00:37:14,960 --> 00:37:18,600
Speaker 7: War three. Uh number two. They're not going to agree

685
00:37:18,600 --> 00:37:20,879
Speaker 7: to a ceasefire. Why should they, They're winning the side

686
00:37:20,880 --> 00:37:23,000
Speaker 7: of this winning doesn't do a ceasefire. They keep going,

687
00:37:23,280 --> 00:37:26,839
Speaker 7: you want a ceasefire, Okay, surrender or agree to our terms. Yes,

688
00:37:27,160 --> 00:37:29,400
Speaker 7: then you'll get your ceasefire, but not because you say so.

689
00:37:29,800 --> 00:37:31,719
Speaker 7: And by the way, Ukraine has lied about everything. If

690
00:37:31,719 --> 00:37:33,799
Speaker 7: you had a ceasefire, they're not going to But if

691
00:37:33,840 --> 00:37:36,560
Speaker 7: they did, Ukraine would use it to build up more weapons.

692
00:37:36,680 --> 00:37:39,600
Speaker 7: Try to suck us. Mean, US troops are already there,

693
00:37:39,719 --> 00:37:43,880
Speaker 7: and you know, not non uniformed intelligence assets, you know,

694
00:37:44,160 --> 00:37:47,319
Speaker 7: paramilitary as et cent That's that's always been true. But yeah,

695
00:37:47,520 --> 00:37:50,120
Speaker 7: they want they want US boots on the ground because

696
00:37:50,120 --> 00:37:52,720
Speaker 7: the minute you kill one American in uniform in Ukraine,

697
00:37:53,520 --> 00:37:55,680
Speaker 7: now there's no there's no backing down. You know, you

698
00:37:55,760 --> 00:37:57,839
Speaker 7: gotta know you do have war. War ire I would say,

699
00:37:57,840 --> 00:38:00,200
Speaker 7: we're already there. See, we're this is a war between

700
00:38:00,239 --> 00:38:03,200
Speaker 7: Russia and the United States. It's what Biden wanted. Is

701
00:38:03,280 --> 00:38:07,400
Speaker 7: what Blincoln and Jake Sullivan and Victoria Newland and now

702
00:38:07,480 --> 00:38:08,759
Speaker 7: Lindsey Graham is what they want?

703
00:38:08,840 --> 00:38:09,320
Speaker 5: They got it.

704
00:38:09,440 --> 00:38:12,200
Speaker 7: Okay, nice going, But the question for Trump is.

705
00:38:12,400 --> 00:38:14,919
Speaker 5: But hang, but hang, but hang, but hang on, Jim,

706
00:38:15,040 --> 00:38:18,640
Speaker 5: you're making my head blow up. President Trump specifically ran

707
00:38:19,160 --> 00:38:21,840
Speaker 5: and he's an avgate apiece through strength the last his

708
00:38:22,280 --> 00:38:24,560
Speaker 5: as we keep talking about the verticals, his number one

709
00:38:24,680 --> 00:38:29,600
Speaker 5: vertical that he led with is is laying down our guns,

710
00:38:30,160 --> 00:38:33,560
Speaker 5: our weapons and getting some sort of least ceasefires to

711
00:38:33,719 --> 00:38:36,200
Speaker 5: stop the kinetic part of the Third World War in

712
00:38:36,600 --> 00:38:40,239
Speaker 5: in uh, in Ukraine and in Israel, Gaza, in this

713
00:38:40,360 --> 00:38:43,439
Speaker 5: whole conflict with Persia and in the Red Sea. Isn't

714
00:38:43,480 --> 00:38:46,480
Speaker 5: that his number one priorty? How do you what is

715
00:38:46,600 --> 00:38:49,520
Speaker 5: it that is drawing us and exorably into this war?

716
00:38:49,680 --> 00:38:49,719
Speaker 4: What?

717
00:38:50,160 --> 00:38:50,840
Speaker 7: What is it?

718
00:38:50,960 --> 00:38:51,680
Speaker 5: The deep state?

719
00:38:51,920 --> 00:38:52,080
Speaker 1: Is it?

720
00:38:52,200 --> 00:38:55,359
Speaker 5: The is it the the arms makers? I mean Joe

721
00:38:55,440 --> 00:38:58,360
Speaker 5: Allen coming here and he'll talk about Pallenteer and UH

722
00:38:58,480 --> 00:39:00,799
Speaker 5: and all these you know, Palmer Lucky Company, all these

723
00:39:00,840 --> 00:39:04,720
Speaker 5: companies using artificial intelligence and advanced technology that are selling

724
00:39:05,480 --> 00:39:09,000
Speaker 5: unlimited weapons. I mean, Palmer's business plan is saying, hey,

725
00:39:10,360 --> 00:39:13,200
Speaker 5: I'm creating the gun shop for the world right that

726
00:39:13,320 --> 00:39:16,880
Speaker 5: the Pentagon's underwriting, but also everybody's profiting from what is

727
00:39:16,960 --> 00:39:20,240
Speaker 5: inexorably drawing. This is like World War One, where nobody

728
00:39:20,280 --> 00:39:22,600
Speaker 5: could figure out how we got into this mess until

729
00:39:22,920 --> 00:39:25,239
Speaker 5: there were hundreds of thousands of people dead, and then

730
00:39:25,320 --> 00:39:29,120
Speaker 5: the vengeance and the acrimony take over and you can't

731
00:39:29,160 --> 00:39:32,800
Speaker 5: stop we separate ourselves from that? Are we being sucked

732
00:39:32,800 --> 00:39:33,919
Speaker 5: in now by the deep state?

733
00:39:34,040 --> 00:39:38,200
Speaker 7: Sir? Yes? And you pointed at World War One as well, taken.

734
00:39:38,239 --> 00:39:40,879
Speaker 7: I've read picked up several like six hundred page books

735
00:39:40,920 --> 00:39:42,680
Speaker 7: in World War One. I can never finish any of

736
00:39:42,719 --> 00:39:45,560
Speaker 7: them because I'm like, I don't get it, Like, yeah,

737
00:39:45,719 --> 00:39:48,879
Speaker 7: twenty million people were killed, but why you can never

738
00:39:48,960 --> 00:39:52,920
Speaker 7: get to the why? World War two is different yet

739
00:39:53,200 --> 00:39:56,680
Speaker 7: it's absolutely be sucked in. And Trump could end the

740
00:39:56,719 --> 00:39:59,520
Speaker 7: war tomorrow with a phone call and basically you have

741
00:39:59,600 --> 00:40:02,320
Speaker 7: to read Putin's terms. But what's so bad about that?

742
00:40:02,360 --> 00:40:03,920
Speaker 7: Because he won the war? You know you should have

743
00:40:04,320 --> 00:40:07,480
Speaker 7: you should have thought of that in twenty fourteen when

744
00:40:07,520 --> 00:40:11,080
Speaker 7: you provoke the war and after the coup. So yeah,

745
00:40:11,120 --> 00:40:13,319
Speaker 7: and by the way, on the arms manufacturer Steve here

746
00:40:13,400 --> 00:40:15,440
Speaker 7: here's how you know this, Here's how it works. We

747
00:40:15,520 --> 00:40:18,080
Speaker 7: said we spent two hundred billion dollars in Ukraine. Well

748
00:40:18,120 --> 00:40:20,600
Speaker 7: we did, but the way we spent it was giving

749
00:40:20,680 --> 00:40:23,360
Speaker 7: money to our own arms manufacturers to build new stuff,

750
00:40:23,640 --> 00:40:26,440
Speaker 7: and we sent Ukraine the surplus. You know, the high

751
00:40:26,480 --> 00:40:29,480
Speaker 7: marnered missiles didn't work, the Russians gym, the GPS Bradley

752
00:40:29,560 --> 00:40:31,720
Speaker 7: fighting vehicles left burning on the ground, the APIs tanks

753
00:40:31,760 --> 00:40:34,480
Speaker 7: didn't work. They were blown up, you know, by mines.

754
00:40:34,520 --> 00:40:36,040
Speaker 7: And you know, jerones Et said, the kind of thing

755
00:40:36,080 --> 00:40:38,320
Speaker 7: you're talking about, the F sixt thing, why do you

756
00:40:38,400 --> 00:40:40,160
Speaker 7: not hear about F sixteen is three years to get

757
00:40:40,200 --> 00:40:42,120
Speaker 7: F sixteen's. You don't hear about them because they get

758
00:40:42,160 --> 00:40:45,320
Speaker 7: shot down by the S four hundreds. So that was

759
00:40:45,360 --> 00:40:47,400
Speaker 7: all surplus stuff. That was all out of day stuff,

760
00:40:47,440 --> 00:40:49,359
Speaker 7: some of it from the eighties and then built.

761
00:40:49,800 --> 00:40:53,000
Speaker 5: Jim, Jim, Jim, hangover second, you're going to stick with

762
00:40:53,120 --> 00:40:55,680
Speaker 5: us for again, Jim Rickards. Mark Mitchell is going to

763
00:40:55,760 --> 00:40:58,279
Speaker 5: join us. Arrestmus to some polling. A lot to go through.

764
00:40:59,000 --> 00:40:59,800
Speaker 7: Use your hoops.

765
00:41:00,120 --> 00:41:09,000
Speaker 5: Stephen k Bat welcome back. Joe Allen. You have some

766
00:41:09,200 --> 00:41:15,280
Speaker 5: thoughts about this artificial intelligence and integration into advanced military systems.

767
00:41:15,360 --> 00:41:19,160
Speaker 5: I think we're being inexorably drawn and it's part of

768
00:41:19,280 --> 00:41:22,120
Speaker 5: it's the deep state countering President Trump what President Trump

769
00:41:22,200 --> 00:41:23,800
Speaker 5: wants to do. And you can see in this polling

770
00:41:23,880 --> 00:41:27,520
Speaker 5: in South Carolina with Lindsey Graham, which he's deeply underwater.

771
00:41:28,080 --> 00:41:30,360
Speaker 5: A big part of this is Magot that says, no,

772
00:41:30,560 --> 00:41:32,279
Speaker 5: we do not want to be sucked into any more,

773
00:41:32,640 --> 00:41:36,480
Speaker 5: or the wars between Israel and Persia or Ukraine and Russia.

774
00:41:36,600 --> 00:41:39,360
Speaker 5: We don't want to be sucked into this. If we

775
00:41:39,480 --> 00:41:40,960
Speaker 5: go in at all, it wants to be we want

776
00:41:41,000 --> 00:41:44,359
Speaker 5: to make a conscious decision. But right now we're getting

777
00:41:44,440 --> 00:41:46,960
Speaker 5: dragged into this thing. Part of the reason, I think

778
00:41:47,239 --> 00:41:50,560
Speaker 5: is what Rickers just said. These are not Ukrainian weapons

779
00:41:50,640 --> 00:41:53,880
Speaker 5: and their weapons systems, and they're not Western europe weapon systems.

780
00:41:53,920 --> 00:41:57,920
Speaker 5: They're American weapon systems, particularly the artificial intelligence and drone

781
00:41:57,960 --> 00:41:59,759
Speaker 5: part of it. Joe Allen.

782
00:42:01,360 --> 00:42:04,560
Speaker 9: Steve, I think back to when the invasion first unfolded

783
00:42:04,600 --> 00:42:07,840
Speaker 9: and I was in DC with you in the studio

784
00:42:08,000 --> 00:42:10,239
Speaker 9: and you said, what is the You asked me, what

785
00:42:10,320 --> 00:42:13,600
Speaker 9: does the artificial intelligence angle on this? Surely that is

786
00:42:13,680 --> 00:42:15,759
Speaker 9: going to be the most important part of this war.

787
00:42:16,239 --> 00:42:19,080
Speaker 9: At the time it was mostly it's pretty much all

788
00:42:19,239 --> 00:42:22,600
Speaker 9: conventional weapons javelin, missiles and tanks and so on and

789
00:42:22,680 --> 00:42:23,160
Speaker 9: so forth.

790
00:42:23,800 --> 00:42:25,919
Speaker 6: That has changed dramatically.

791
00:42:26,440 --> 00:42:29,919
Speaker 9: And at the beginning of the year of twenty three,

792
00:42:30,120 --> 00:42:32,560
Speaker 9: when they first kind of rolled out chat GBT at

793
00:42:32,560 --> 00:42:36,000
Speaker 9: the World Economic Forum, you also had Alex Karp, CEO

794
00:42:36,440 --> 00:42:39,560
Speaker 9: of Palenteers speaking there at the World Economic Forum, and

795
00:42:39,680 --> 00:42:44,239
Speaker 9: he talked about how Pallenteer had donated their software, their

796
00:42:44,280 --> 00:42:50,520
Speaker 9: target acquisition software and other systems to Ukraine and openly

797
00:42:50,640 --> 00:42:54,920
Speaker 9: said that Ukraine is a kind of laboratory for new

798
00:42:55,160 --> 00:43:00,640
Speaker 9: military technologies. Since then, Pallenteer's stock shares of skyrocket. Their

799
00:43:00,760 --> 00:43:04,560
Speaker 9: influence on the federal government and their involvement in various

800
00:43:04,600 --> 00:43:08,720
Speaker 9: federal programs from healthcare to the military to other sorts

801
00:43:08,760 --> 00:43:14,080
Speaker 9: of efficiency projects is clear. You also have you know

802
00:43:14,239 --> 00:43:18,320
Speaker 9: Pallanteer was co founded by Peter Thiel, and one of

803
00:43:18,480 --> 00:43:23,240
Speaker 9: Peter Thiel's proteges, Palmer Lucky, has a company and drill.

804
00:43:23,320 --> 00:43:28,080
Speaker 9: They're also partnering with Ukraine for surveillance. They're working on

805
00:43:28,480 --> 00:43:32,320
Speaker 9: new models of death drones, and to Lucky's credit, he

806
00:43:32,520 --> 00:43:35,560
Speaker 9: insists that humans should always be in the loop, but

807
00:43:35,640 --> 00:43:40,920
Speaker 9: they're creating systems that are capable of autonomous decision making,

808
00:43:41,040 --> 00:43:46,480
Speaker 9: of killing with no human oversight. This is also you know,

809
00:43:46,680 --> 00:43:49,640
Speaker 9: it's not just this kind of right wing tech circle.

810
00:43:49,960 --> 00:43:52,960
Speaker 9: You also have the kind of liberal left people like

811
00:43:53,160 --> 00:43:57,600
Speaker 9: Eric Schmidt who founded White Stork with the explicit mission

812
00:43:58,120 --> 00:44:03,320
Speaker 9: of creating drones for Ukraine. You have AI being employed

813
00:44:03,480 --> 00:44:07,719
Speaker 9: in the Israel Palestine conflict. This is going to be

814
00:44:07,840 --> 00:44:10,759
Speaker 9: a major issue. And really the military aspect is the

815
00:44:10,840 --> 00:44:11,360
Speaker 9: hardest to.

816
00:44:11,400 --> 00:44:14,760
Speaker 6: Say, we don't need it. If it works, it works.

817
00:44:15,200 --> 00:44:18,880
Speaker 9: Right now Ukraine and Israel is showing us whether or

818
00:44:18,920 --> 00:44:23,560
Speaker 9: not it really works, and the really the results are questionable,

819
00:44:23,920 --> 00:44:27,560
Speaker 9: but undoubtedly the intent is to infuse AI at every

820
00:44:27,640 --> 00:44:28,880
Speaker 9: level possible.

821
00:44:30,800 --> 00:44:36,680
Speaker 5: So records. This is like the von Schleefland plan in

822
00:44:36,800 --> 00:44:39,800
Speaker 5: World War One, the logistics plan and making sure it

823
00:44:39,880 --> 00:44:43,200
Speaker 5: all came together. Once it started, you couldn't stop it.

824
00:44:43,760 --> 00:44:45,640
Speaker 5: The Germans had a plan of how everything had to

825
00:44:45,719 --> 00:44:48,240
Speaker 5: come to the trains and the people and the weapons

826
00:44:48,280 --> 00:44:52,120
Speaker 5: and the systems, and the system took over from human judgment.

827
00:44:52,600 --> 00:44:54,520
Speaker 5: This is why you started World War One. It was

828
00:44:54,600 --> 00:44:57,080
Speaker 5: so bloody in the first you know, the guns of August,

829
00:44:57,120 --> 00:44:58,799
Speaker 5: It was so bloody and it got out of human

830
00:44:58,840 --> 00:45:01,440
Speaker 5: control because they had c stems at the time built

831
00:45:01,520 --> 00:45:05,399
Speaker 5: on railroad schedules and efficiency and technology that overwhelmed human

832
00:45:05,480 --> 00:45:07,800
Speaker 5: judgment at the time, and the system was the solution.

833
00:45:08,560 --> 00:45:11,520
Speaker 5: Is that not exactly what's happening in Ukraine right now?

834
00:45:11,600 --> 00:45:13,520
Speaker 5: It is a laboratory. It's a laboratory for these big

835
00:45:13,960 --> 00:45:15,960
Speaker 5: weapons maker. And look, Palmer Lucky is as good a

836
00:45:16,000 --> 00:45:17,880
Speaker 5: guy as you want to meet. I mean, he's pure maga,

837
00:45:18,400 --> 00:45:20,279
Speaker 5: a really good guy. He's the brother in law of

838
00:45:20,320 --> 00:45:23,800
Speaker 5: Matt Gates. Ginger's his brother and Palmer Lucky's heart's in

839
00:45:23,840 --> 00:45:28,040
Speaker 5: the right place. But is artificial intelligence in the target

840
00:45:28,120 --> 00:45:32,320
Speaker 5: acquisition the technology when Ukraine, if you believe Alex Jones,

841
00:45:32,320 --> 00:45:34,920
Speaker 5: and I do because he's very well sourced, did a

842
00:45:35,120 --> 00:45:38,400
Speaker 5: major tack and almost assassinated potin the other day with

843
00:45:38,560 --> 00:45:41,759
Speaker 5: an artificial intelligence driven drone attacks her.

844
00:45:43,040 --> 00:45:45,440
Speaker 7: That's exactly right from the bunch Leepan plan was defeated

845
00:45:45,480 --> 00:45:48,520
Speaker 7: by rain and French taxi cabs. So there's this random element.

846
00:45:49,239 --> 00:45:52,200
Speaker 7: Joe is exactly right about Ukraine being a laboratory for

847
00:45:52,280 --> 00:45:55,799
Speaker 7: everything we're discussing. But who's winning the experiment, Who's coming

848
00:45:56,200 --> 00:45:59,160
Speaker 7: out on top of the science. So when we started shooting,

849
00:45:59,160 --> 00:46:02,200
Speaker 7: the Haimar missiles were hitting their targets and the Russian said, okay,

850
00:46:02,239 --> 00:46:04,640
Speaker 7: the GPS guide, how do we jam the GPS? They

851
00:46:04,680 --> 00:46:07,000
Speaker 7: figured that out on the fly, meaning in real combat

852
00:46:07,040 --> 00:46:10,280
Speaker 7: conditions they defeated that system. Those systems are now worthless

853
00:46:10,280 --> 00:46:13,360
Speaker 7: and obsolete, but that was something that was developed in

854
00:46:13,560 --> 00:46:17,240
Speaker 7: combat during the war itself. That's going on the Rushted missile,

855
00:46:17,680 --> 00:46:21,720
Speaker 7: which struck a target near the Nepro River. It turned

856
00:46:21,840 --> 00:46:24,840
Speaker 7: a large target set into dust. It didn't blow it

857
00:46:24,960 --> 00:46:28,360
Speaker 7: up or it turned into dust with no explosives. That

858
00:46:28,560 --> 00:46:31,520
Speaker 7: was kinetic. That was one hundred percent kinetic at ten

859
00:46:31,600 --> 00:46:34,680
Speaker 7: thousand miles per hour and created basically turned the Earth

860
00:46:34,719 --> 00:46:37,359
Speaker 7: into the equivalent of a tsunami. So you had an

861
00:46:37,400 --> 00:46:41,160
Speaker 7: earth bound earth brown tsunami, sound waves and just everything

862
00:46:41,320 --> 00:46:42,920
Speaker 7: literally turned to dust. That's new.

863
00:46:43,280 --> 00:46:44,600
Speaker 5: So do we have that, No, we don't.

864
00:46:44,920 --> 00:46:48,239
Speaker 7: So yeah, Joe's right about the laboratory aspect of it,

865
00:46:48,280 --> 00:46:49,719
Speaker 7: and that's probably true of a lot of wars. But

866
00:46:49,840 --> 00:46:52,160
Speaker 7: right now Russia is not only winning on the ground,

867
00:46:52,160 --> 00:46:55,960
Speaker 7: they're winning the science contest, the Blue Ribbon because they're

868
00:46:56,000 --> 00:46:58,480
Speaker 7: making much greater advances, which is not to deny the

869
00:46:58,560 --> 00:47:00,800
Speaker 7: fact that a lot of US technology j which is

870
00:47:01,080 --> 00:47:03,040
Speaker 7: you know how they classified, is going into the fight

871
00:47:03,080 --> 00:47:07,480
Speaker 7: as well. So a proxy whar it kind of understates

872
00:47:07,560 --> 00:47:10,319
Speaker 7: what's really going on. I mean, both sides are fighting

873
00:47:10,360 --> 00:47:13,480
Speaker 7: to the last Ukrainian but they are major advances. And

874
00:47:13,560 --> 00:47:16,240
Speaker 7: one of the things this revealed is the utter weakness

875
00:47:16,320 --> 00:47:19,480
Speaker 7: and holiness of NATO. It's a good thing Putin doesn't

876
00:47:19,480 --> 00:47:21,960
Speaker 7: want more than half Ukraine because he could go to

877
00:47:22,000 --> 00:47:23,799
Speaker 7: the English channel and I think it's been born out.

878
00:47:26,239 --> 00:47:28,640
Speaker 5: Wow, Jim, hangar for a second. You're going to hold

879
00:47:28,680 --> 00:47:30,839
Speaker 5: over to the next hour. I want to talk about

880
00:47:30,840 --> 00:47:36,520
Speaker 5: the kill chain that's in money GPT Jim. Ricortsure room

881
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Speaker 5: info inside baseball that they do strategy intelligence. Make sure

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Speaker 5: you go to ricorture room dot com. The road Derio

887
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Speaker 5: the Rio resaid. Jim is also going to talk about

888
00:48:01,400 --> 00:48:03,360
Speaker 5: Fort Knox. How come we're not there looking We're in

889
00:48:03,400 --> 00:48:07,040
Speaker 5: the hell our gold is right. The Road de Rio,

890
00:48:07,160 --> 00:48:11,160
Speaker 5: the Rio reset, the bricks are fired up. They're not

891
00:48:11,200 --> 00:48:15,640
Speaker 5: going to replace the dollar day one. But listen, Brazil, Russia, India, China,

892
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Speaker 5: you got you got Brazil, you got Lula, you know,

893
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895
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Speaker 5: home title Lock. Ninety percent of your net worth is

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Speaker 5: tied up in that little piece of paper called the title.

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Speaker 5: You have to your home, the real asset you live in.

899
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903
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Speaker 5: the team.

904
00:48:54,239 --> 00:48:56,279
Speaker 6: The next hour. War room is upon us.