Latest / Cultural Wars | America Out Loud News / AI takeover 100 million jobs! Musk, Bezos, Thiel, Zuckerberg shape the future!?

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AI takeover 100 million jobs! Musk, Bezos, Thiel, Zuckerberg shape the future!? · Cultural Wars | America Out Loud News

• 0:02
  Broadcasting around the world.
• 0:04
  This is on the record with Christian Briggs.
• 0:07
  Serious talk about what's happening around the world and how it affects you.
• 0:11
  Unfiltered truth for a world on edge.
• 0:15
  Follow us on X at BMC underscore H AM live in three, two, one.
• 0:24
  Well, welcome everybody.
• 0:25
  This is Christian Briggs, host of the Hard Asset Money Show.
• 0:28
  Today we are going to be talking about the AI revolution, artificial intelligence.
• 0:34
  What is going to happen when we start to go to software, robotics running the show?
• 0:43
  And I mean running the show, we're talking about cooking, cleaning, doctors, lawyers, accountants, airline pilots, autonomous driven cars.
• 0:53
  Maybe we don't even need airline pilots.
• 0:55
  Maybe it's all autonomous.
• 0:56
  Maybe everything that we're going to do now is going to be built on something that we could consider to be the new world order, the great reset.
• 1:02
  So today we're going to be talking about some of the things I've been able to put together that will give us some context of what's happening with all the layoffs.
• 1:10
  And I am telling you that in the last 48 hours, 72 hours, we have had massive layoffs announced because of two things AI and AI.
• 1:21
  So today we're talking about artificial intelligence.
• 1:24
  And what exactly is it?
• 1:25
  Well, I'm going to tell you what artificial intelligence is.
• 1:27
  I'm going to tell you exactly what the AI revolution is.
• 1:31
  And it is a revolution, it's a transformation, and it's not a bubble.
• 1:35
  I wish it was in some degree, and I'm kind of glad it's not a bubble, but it is definitely a transformation.
• 1:50
  You know, the key aspects of AI revolution is really the enhancement.
• 1:54
  It's the enhancement of efficiency, it's the enhancement of lower cost production, where it creates a more efficient environment.
• 2:02
  And enhanced productivity and automation, AI is really revolutionizing things because they're automating.
• 2:09
  So if I give you an example, we're talking about robots that can cook, can clean, mow the yard, they can iron.
• 2:16
  I saw a robot, again, I'm not sure where it was from.
• 2:19
  China, the US, could have been Europe.
• 2:22
  All I know for $6,000, I can replace any domestic help.
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  I can replace many of the things of which I would have to do on the weekends or even during the day, and I can do it for such a price that makes it so affordable that it would basically cook and clean for 6,000.
• 2:40
  I don't know how much it is going to be maintaining that thing, but it can't be much.
• 2:44
  So let's talk about the key aspects of AI and the revolution that we're experiencing.
• 2:50
  The transformation, transportation, banking, social interaction, travel, all of these different things.
• 2:59
  Okay.
• 2:59
  When I say transportation, autonomous driven cars or electric vehicles, transportation is one of the key factors in a lot of the big tech companies trying to automate taxi services, or at least, you know, uh things of which that would be like the Ubers or the Lyfts, and they're going to try to do it where there's no more human beings involved.
• 3:20
  And they're going to be very successful at because they already are.
• 3:23
  But really, what I'm talking about also is enhanced productivity and automation.
• 3:29
  Let me read a little something here that we put together that gives at least some sense of the urgency that I'm trying to get out to people about what's happening out there.
• 3:38
  AI is automating tasks and providing tools that increase human productivity, such as personalized suggestions and application like Gmail Smart Composition to compose an email, the composition of which you would dictate and call into it.
• 3:56
  And let me tell you something.
• 3:59
  Improved decision making, machine learning helps AE identify complex data patterns, improving its ability to predict and inform decisions.
• 4:08
  Though human oversight remains crucial, because it does.
• 4:11
  AI is not perfect yet, but it's self-replicating in such a way at such speeds that it's going to find its way just like life does.
• 4:20
  It's almost like it is an existence, like it's an organism.
• 4:23
  It's a, it's a it's almost human-like, but the nature of which is always to improve itself in the fastest possible time that it can, and then to increase its ability to solve the most complex problems and to simplify those things within milliseconds.
• 4:42
  This week, while most Americans were focused on their families and their everyday lives, Amazon made an announcement that should send a chill down the spine of every working American.
• 4:52
  They call them frontier agents.
• 5:06
  At their annual conference in Las Vegas, Amazon CEO Matt Garmin declared that autonomous agents are the company's top priority, not American workers, not customer service, agents.
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  Digital workers that can operate in their own words for hours or days without requiring intervention.
• 5:24
  These aren't your basic chatbots answering questions about where your package is.
• 5:29
  These are what Amazon calls a completely new class of agents.
• 5:32
  They've given them names, Cairo, Security Agent, DevOps agent, like their members of the team, because that's exactly what Amazon wants them to be.
• 5:42
  Replacements for your sons and daughters trying to break into the tech industry.
• 5:47
  And here's what should really keep you up at night.
• 5:50
  These systems maintain persistent memory.
• 5:53
  They learn.
• 5:54
  They don't forget what they've done across different sessions.
• 5:57
  They coordinate across dozens of systems simultaneously.
• 6:01
  One Amazon executive bragged that their agents can handle complex transformations spanning dozens of microservices, work that used to require entire teams of skilled American engineers.
• 6:13
  But wait, it gets worse.
• 6:15
  Amazon's own CEO, Andy Jassy has already told his employees what's coming.
• 6:20
  Back in June, he sent a company-wide memo stating plainly that they will need fewer people, and that AI will reduce our total corporate workforce.
• 6:29
  He said these agents are coming fast.
• 6:32
  Amazon is the second largest private employer in the United States.
• 6:35
  1.5 million workers, and their chief executive is telling the world that the robot replacement is not a question of if.
• 8:18
  So it's not just the businesses that are developing new strategies to leverage AI, it's the new tools that are emerging, sometimes requiring significant investment, which is where the bubble comes from.
• 8:28
  Does this really have a bubble?
• 8:30
  And I don't think financially it's a bubble because it's going to create such high level of productivity that it's going to be utilized in every business or every household.
• 8:41
  And as scary as that is, and it should be scary because now the existence of what was considered to be the talent of humans, and I say humans, it's not like a demographic, it's it's it's the existence of us.
• 8:54
  It's an organism is now coming into question.
• 8:58
  So as many people are getting excited about it and working within the context of what AI is doing, whether you're creating the software, building the hardware, building the data centers, creating an environment where it can be utilized in robotics, not just software, but you're actually building things of which it will work outside the laboratory.
• 9:21
  You're actually maybe building your own demise.
• 9:23
  And that's what some people are saying.
• 9:29
  That's robotics, such as robotics and autonomous systems.
• 9:33
  And separately, as I write part of this, and I'm reading these things in my notes.
• 9:38
  Controversial AI is involving from basic assistance to sophisticated, persistent companions for tasks and problem solving, which means as it learns and it becomes higher level of genius and genius and genius compounded by multiple powers to the 10 to the 20 to the 30.
• 10:00
  As it continues to learn, it not only learns in such a way, but it adapts.
• 10:06
  One of the scariest things that I have been able to confirm was China using human brain cells, human organisms within the context of the memory, and then of course it creates memory that then is exponentially usable where there's there's no limits, there's no boundaries to that memory capabilities like a human brain cell, which is what they're using from fetuses, which is controversial in itself.
• 10:29
  But what's interesting about it is if you have brain cells, which carry the carry the human ecosystem, everything we know, everything we are, what we believe in and what we don't, it carries emotions.
• 10:42
  So now are we creating not just self-learning self-taught, exponentially learning platforms?
• 10:52
  Are we now creating something that can create emotions or has emotions to where maybe it doesn't need us anymore?
• 10:58
  Case in point.
• 11:08
  And this is where it gets kind of interesting, and this is the concern.
• 11:12
  Concerns exist regarding the security of AI systems and the potential for unauthorized access to sensitive data.
• 11:18
  Well, not necessarily does it have to be an outside nefarious bad actor that comes in to see our data or to see sensitive material that is very private.
• 11:30
  But what happens when the when the entity, the AI system decides it's now going to be able to use that information in such a way that could be against us.
• 11:41
  Where are the limits?
• 11:43
  Skill erosion and over reliance.
• 11:46
  This is a big one.
• 11:48
  There is a risk of overreliance on AI leading to the erosion of human fundamental skills, case in point.
• 11:54
  The reason why in the younger generations, the the 25, 35 year olds, even to the 40, there has been some loss of brain power.
• 12:04
  This is this is important.
• 12:06
  It's been scientifically proven to the extent we're using less brain because we use GPS.
• 12:14
  We don't remember where we've been or where we're going.
• 12:16
  We use GPS, we use it at default.
• 12:19
  Number two, we use back in the day we'd actually think in our head about handwriting, writing the words out, knowing the meanings.
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  Now we dictate.
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  We don't need the brain as much.
• 12:31
  And the third thing is calculator.
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  Simple, simple mathematics.
• 12:34
  We used to write it down, we would calculate it out, or we would add it, subtract it, divide it.
• 12:39
  Now we use this.
• 12:41
  This has become the brain that we used to have that we now default to for many, many aspects.
• 12:49
  We text more, but we dictate it.
• 12:51
  We calculate more, but we calculate it on this.
• 12:55
  And of course, this does so much of our learning on GPS or definitions of words we used to look up.
• 13:02
  Now we just say it in there and it tells us what we want to know.
• 13:04
  Students use AI to write their papers.
• 13:07
  Professors use AI to grade them, and everyone pretends an education is happening.
• 13:12
  Welcome to the American University in 2025.
• 13:15
  The California State University System, the largest public university system in the country, serving nearly half a million students, just signed a 17 million dollar partnership with OpenAI.
• 13:26
  At the same time, they're cutting entire graduate programs, women and gender studies at San Francisco State, suspended due to lack of funding.
• 13:35
  Anthropology?
• 13:37
  Same story.
• 13:38
  But don't worry, every student got a free chat GPT account.
• 13:42
  Meanwhile, a kid named Roy Lee enrolled at Columbia University, one of the most expensive schools in America.
• 13:48
  By his own admission, he cheated on nearly every assignment.
• 13:52
  AI wrote 80% of every essay he turned in.
• 13:55
  When asked why he even bothered attending an Ivy League school, his answer was revealing to find a wife and a startup partner.
• 14:03
  That's a $60,000 a year dating service.
• 14:06
  Columbia eventually suspended him, not for cheating on his coursework, but for publicly advertising a tool designed to cheat job interviews.
• 14:15
  The irony?
• 14:16
  Columbia had just announced its own partnership with OpenAI, the same company powering the software Lee used to cheat his way through their courses.
• 14:24
  After getting suspended, Lee dropped out, moved to San Francisco, and raised $5.3 million in venture capital.
• 14:32
  His new company is called Cluley, its stated mission.
• 14:36
  We want to cheat on everything.
• 14:38
  The company's manifesto says it plainly.
• 14:41
  Why memorize facts, write code, research anything when a model can do it in seconds?
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  The future won't reward effort.
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  It'll reward leverage.
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  So start cheating.
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  Because when everyone does, no one is.
• 14:55
  This isn't some fringe operation.
• 14:57
  This is a venture-backed Silicon Valley startup founded by Ivy League dropouts, openly celebrating the death of learning as a business model.
• 15:05
  And universities are responding by surrendering.
• 15:09
  Ohio State University announced that using AI will no longer count as an academic integrity violation at all.
• 15:17
  One alumnus asked the obvious question why would a student pay full tuition and take on crushing student debt to potentially not even be taught by a human being?
• 15:27
  Here's what makes this especially insulting for working class families.
• 15:30
  At San Francisco State, 60% of students are first generation college attendees.
• 15:35
  Many work multiple jobs.
• 15:37
  Many come from immigrant families where a college degree represents everything.
• 15:41
  The families one shot at upward mobility.
• 15:44
  And what are they getting for their investment?
• 15:47
  OpenAI sent a representative to campus to train faculty on how to use chat GPT.
• 15:52
  This representative, a product of an $80,000 a year Yale education, stood in front of these working class students and faculty and told them to develop their own personal AI ethics.
• 16:03
  Let the kids figure it out, personal responsibility.
• 16:07
  While Silicon Valley profits from the technology designed to undermine their education, it's the same playbook big tech always uses, create the problem, then lecture everyone else about responsibility while caching the checks.
• 16:20
  The damage goes beyond institutions.
• 16:22
  It's happening inside students' brains.
• 16:24
  A recent MIT study found that when students use ChatGPT to write essays, their brain activity dropped 47% across regions associated with memory, language, and critical reasoning.
• 16:36
  83% of heavy AI users couldn't recall key points from what they had supposedly written.
• 16:42
  And after four months of relying on chat GPT, students wrote worse when it was removed than those who had never used it at all.
• 16:50
  Their brains are learning not to learn.
• 16:52
  Students arrive on campus fluent and prompting but unable to articulate their own ideas.
• 16:57
  Their essays look polished but feel empty, stitched together from synthetic syntax and borrowed thoughts.
• 17:04
  The language of genuine reflection, I wonder, I struggle, I see now, is disappearing.
• 17:11
  And who benefits from all this?
• 17:13
  OpenAI charges universities millions for partnerships while offering its product free to individuals.
• 17:19
  The California State University system, a public institution funded by taxpayers, is paying 17 million dollars to a private corporation that exploits data workers in Kenya for less than $2 an hour.
• 17:32
  A company that has been accused of blacklisting journalists who write critical stories, a company that reportedly pressured employees to sign lifelong non-disparagement agreements under threat of losing their equity.
• 17:44
  This is the company that public universities are handing the keys to.
• 17:48
  Faculty weren't consulted about the CSU partnership.
• 17:52
  They found out when it was publicly announced.
• 17:54
  At the same moment, budget cuts and layoffs were being imposed on their campuses.
• 17:58
  One professor described it as a bait and switch, positioning AI as a student success strategy while gutting the programs that actually support critical thinking.
• 18:08
  American families are taking on record levels of student debt for degrees that are becoming meaningless.
• 18:14
  Students are being trained to prompt machines rather than think for themselves.
• 18:18
  And the same tech oligarchs who want to control what you can say online now want to control what your children learn in college.
• 18:25
  The professors see what's happening.
• 18:27
  Many of them are now counting down to retirement, watching their life's work reduced to competing with a chat bot.
• 18:33
  The students who actually care, especially first generation students who understand the stakes, see through the con, as one faculty member put it.
• 18:41
  Why would our institution buy a license for a free cheating product?
• 18:45
  That's the question no administrator wants to answer.
• 18:48
  A college education used to mean something.
• 18:51
  It was a path to a better life, a place where young Americans learn to think, to question, to become citizens.
• 18:58
  Now it's becoming a subscription service for Silicon Valley, funded by student debt and delivered by machines.
• 19:04
  And the people running our universities have decided that's progress.
• 19:08
  Okay, so on the AI right now, here's what we're looking at.
• 19:12
  Is artificial intelligence already starting to become uh a way of life that we can't ever escape?
• 19:20
  I'll give you an example.
• 19:21
  Uh convenience, safety, uh efficiency.
• 19:25
  These are great words that are used in order to be able to get people to understand something, or at least give that give that warm and fuzzy feeling about another product or a service or something of that nature, where somebody says, hey, this is so easy, it's convenient, it's safe, it's efficient.
• 19:40
  Those are government words, or they could be private sector.
• 19:43
  It doesn't really matter, but those are words that people then will be like, well, let me check it out.
• 19:48
  What are you talking about?
• 19:48
  Let's look at this.
• 19:50
  And that's what's happening.
• 19:51
  So the people are like, oh, we're gonna create a whole new world where healthcare is gonna be efficient.
• 19:56
  You go to a doctor, there's no doctor, it's a monitor, and the nurse comes.
• 20:00
  To you and says, What's your problem?
• 20:01
  What is it you need today?
• 20:02
  Well, you go in, and the next thing you know is just do-do-do, all these different things, poking at you, but it's mechanical.
• 20:09
  It's a robot.
• 20:10
  Well, that's how you bring efficiency.
• 20:12
  That's how you bring consistency.
• 20:14
  That's how you don't have bias, like you know, the DEI and medical.
• 20:18
  Remember when the oath uh to become some type of a medical professional, a doctor, a nurse, a nurse practitioner, physician practitioner, what have you?
• 20:28
  You would take this oath, and they were changing it under Obama and then Biden administration.
• 20:34
  They wanted you not to uh give quality care to anybody who walked in, but you had to segregate people based on race, okay?
• 20:43
  Well, robots don't do that.
• 20:45
  They'll just figure their program to well help anybody the way it should be.
• 20:50
  So it sounds great.
• 20:52
  But is it going to replace people to the point where we don't need human beings?
• 20:55
  Are we going to have a depopulation?
• 20:57
  Well, let's break it down.
• 20:58
  So when you look at the world of two things, two things that are very important.
• 21:02
  Uh, the technology, the technical advancement within AI, artificial intelligence, synthetic intelligence, uh, and of course, robotics, which is the physical presence of next generation manufacturing, uh, child care, health care.
• 21:19
  What it could be a CPA, it could be a lawyer, it could be transportation.
• 21:22
  You don't need robotics, but you have autonomous-driven cars.
• 21:25
  Look at Waymo.
• 21:26
  Look at Uber and Lyft already making deals with Ribion and other huge.
• 21:32
  I mean, Tesla's getting into it.
• 21:34
  These companies, there's manufacturers and the software companies like Google's a software company, not so much as much search.
• 21:39
  Obviously, search is a part of what?
• 21:42
  That's the that's the utility, but the function is building software that then brings all of that into a point of where we don't need people anymore.
• 21:52
  It's kind of scary.
• 21:53
  So is it a bubble?
• 21:55
  Is technology overvalued?
• 21:57
  Is Michael Berry, who's short a billion one of Nvidia stock and Palantir stock.
• 22:03
  Is it a bubble?
• 22:06
  Is that the question you have to ask yourself?
• 22:08
  Is it a bubble?
• 22:10
  And I don't think it's a bubble because here's why.
• 22:13
  We're not only taking AI into every single business category, every part of a person's life, corporate, personal, government.
• 22:24
  You're transforming systems like digital currency.
• 22:28
  Let's talk about that for a second.
• 22:30
  When you have digital currency and you have it in such a way that is in your wallet, you know, you've got this thing.
• 22:38
  Oh, look at this.
• 22:39
  I have $10,000, but they're tokens.
• 22:42
  I can simply just push a button, send it, receive it.
• 22:44
  That's efficient.
• 22:46
  Is that a bubble?
• 22:48
  No.
• 22:49
  If the companies who support that next generation money and how it functions, because you're going from 5,000 years of physical to the last five years of digital.
• 23:02
  So that means that you're going to take what has been for 5,000 years, understood, and you're going to reposition that, transform that.
• 23:09
  Just think of all of those different platforms to integrate into one cohesive A to B, right?
• 23:15
  Peer-to-peer positioning of how you buy and sell things.
• 23:20
  And I mean all these things around the world.
• 23:22
  All these different companies, these banks, these central banks, these private banks, these commercial banks have to sit there and be on one platform.
• 23:30
  It's trillions of dollars to transform these, well, by some measure, archaic way of which we do business.
• 23:38
  So what I've been saying is the trillion spent will have hundreds of trillions of dollars in revenues because you're taking what already is existing, and you're going from let's say analog, great example, an analog system to a digital fiber system.
• 23:56
  And by doing that, you really are taking here and you're putting over there.
• 24:02
  So it's not like there's no people over here.
• 24:04
  You just have to you go like this.
• 24:07
  So whatever is being spent here, whatever monies are being generated here, top line, bottom line, it's going over here.
• 24:13
  So all the infrastructure they're building under here to layer on top of what is existing is just transformed from let's say antiquated, analog, old school, medieval, doesn't work for Flippo to flip over here.
• 24:27
  Boom.
• 24:28
  It's not a bubble.
• 24:30
  Now, are those opportunities for volatility?
• 24:33
  Yeah.
• 24:33
  Lots of volatility.
• 24:35
  Will people be able to make money off that?
• 24:37
  Well, I sure hope so.
• 24:38
  I mean, that's what you need.
• 24:39
  So when anybody asks me about the is technology overvalued, no, to the degree to the degree that we're moving from horse and buggies.
• 24:53
  If I was a horse and buggy business, I was in the hat business.
• 24:58
  I was in the outdoor outhouse business.
• 25:03
  If I was in the steamship business, and I saw all of these technical advances in my business category, I'd be like, oh, cars, nah, they're never gonna catch on.
• 25:14
  Uh big steamships from uh a paddle boat, let's say a paddle boat business, or one like let's say we have a rowing business because with the Vikings.
• 25:25
  Look at the evolution of how things progress progressed, the progress that has been made in recent years.
• 25:32
  It's not a bubble.
• 25:34
  Again, volatility will be the name of the game.
• 25:36
  That is true.
• 25:36
  That's gonna happen.
• 25:37
  But that's okay.
• 25:38
  If it starts at $10 and gets to $50 in three or four years, but you had to make a little bit of a oh, the ups and downs, sometimes volatile enough to make you want to get out of it.
• 25:49
  Stay the course.
• 25:50
  Some of these companies are gonna be doing quite well.
• 25:53
  On the record with Christian Briggs, we'll be right back after a word from our sponsor.
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• 32:02
  Well, did you see Google quietly updated its AI principles removing its pledge not to use AI for weapons or surveillance?
• 32:11
  A promise they agreed to in 2018.
• 32:14
  Well, the American people have seen Google's track record, prompting the question.
• 32:19
  Is Google an untrustworthy player in the AI race?
• 32:27
  Now is our time, my fellow Americans.
• 32:31
  America outmaw.
• 32:33
  Liberty and justice for all.
• 32:41
  But is it good for us to have this kind of transformation to where over a hundred million people, mark my words, write this down?
• 32:49
  This is a good point.
• 32:50
  A hundred million people or thereabouts will probably have some form of job loss.
• 32:58
  100, 100 five million, 120 million people, maybe.
• 33:01
  Artificial intelligence is coming for your job, and the people building these systems are telling us so directly.
• 33:08
  Elon Musk recently said AI and robots will replace all jobs.
• 33:12
  Working will be optional.
• 33:14
  Bill Gates predicted that humans won't be needed for most things.
• 33:18
  These are the billionaires building the machines, and they're telling you exactly what they have planned.
• 33:23
  A Senate report released last month laid out the numbers.
• 33:26
  AI, automation, and robotics could replace nearly 100 million American jobs over the next decade.
• 33:33
  Forty percent of registered nurses, 47% of truck drivers, 64% of accountants, 65% of teaching assistants, 89% of fast food workers, 100 million jobs, gone.
• 33:48
  And while American workers face this existential threat to their livelihoods, who exactly is making the decisions about how this technology gets deployed?
• 33:56
  A handful of the wealthiest people on earth.
• 33:59
  Elon Musk, Jeff Bezos, Bill Gates, Mark Zuckerberg, Peter Thiel.
• 34:05
  These men are investing hundreds of billions of dollars in developing and implementing AI and robotics.
• 34:10
  They're shaping the future of humanity without any democratic input or oversight.
• 34:15
  Think about that.
• 34:16
  The most consequential technological transformation in human history is being directed by a handful of Silicon Valley billionaires who answer to no one.
• 34:26
  Now, some will tell you this is just the free market at work.
• 34:29
  Innovation, progress, but there's something deeper happening here.
• 34:33
  Peter Thiel, the billionaire investor and co-founder of Palantir, the surveillance company that holds contracts with government agencies across the world, has called those who want regulations over AI legionaires of the antichrist, legionaires of the antichrist, for wanting some basic democratic oversight over technology that could eliminate a hundred million jobs.
• 34:55
  These tech oligarchs believe they have what amounts to a divine right to rule.
• 35:00
  They're building systems that will reshape every aspect of human life, our economy, our politics, our warfare, our environment, how we educate our children, how we raise our families, and they believe they should face no accountability for any of it.
• 35:14
  And here's where it gets even more concerning for Americans who believe in self-governance.
• 35:19
  The Trump administration has reportedly been pushing an executive order that would block states from regulating artificial intelligence.
• 35:26
  Think about what that means.
• 35:27
  Individual states, responding to their own citizens, their own workers, their own communities, would be prohibited from putting any guardrails on this technology.
• 35:37
  Why would any administration, Republican or Democrat, want to strip states of their ability to protect their own people from a technology that its own creators admit will eliminate most jobs?
• 35:48
  The answer is that big tech has captured both parties.
• 35:52
  The same Silicon Valley billionaires who censor conservative voices, who manipulate what information Americans can see, who have more power over public discourse than any government.
• 36:02
  These are the people writing the rules for artificial intelligence.
• 36:06
  And what happens when AI eliminates those hundred million jobs?
• 36:09
  The truck drivers in Pennsylvania, the nurses in Ohio, the accountants in Michigan, the fast food workers in Florida.
• 36:17
  What happens to them?
• 36:18
  The billionaires have an answer.
• 36:20
  Universal basic income, government checks, dependency.
• 36:24
  Musk says working will be optional, but what he really means is that working will be unavailable.
• 36:30
  The jobs won't exist.
• 36:31
  And the American worker, the backbone of this country for generations, will be reduced to waiting for a government stipend while the tech oligarchs accumulate more wealth and power than any group of humans in history.
• 36:44
  This is not about being against technology.
• 36:46
  This is about asking a fundamental question.
• 36:49
  Who decides?
• 36:50
  Who decides which jobs get eliminated?
• 36:53
  Who decides how the benefits of AI get distributed?
• 36:56
  Who decides what happens to the communities that get devastated when automation wipes out their economic base?
• 37:02
  Right now the answer is a handful of billionaires in Silicon Valley, not Congress, not state legislatures, not the American people, a small group of unelected, unaccountable oligarchs who openly admit they're building systems that will make human workers obsolete.
• 37:19
  The Senate is reportedly preparing recommendations on how to address these threats.
• 37:24
  But here's the question every American should be asking.
• 37:27
  Will Congress actually act?
• 37:29
  Or will the lobbying power of big tech, the campaign contributions, the influence operations, the revolving door between Silicon Valley and government ensure that nothing meaningful gets done?
• 37:40
  Because the clock is ticking.
• 37:42
  The AI systems are being deployed right now.
• 37:45
  The job losses are already beginning.
• 37:47
  And once this technology is fully integrated into our economy, there's no going back.
• 37:53
  The billionaires building these systems understand exactly what's coming.
• 37:57
  The question is whether the American people will wake up in time to have any say in their own future.
• 38:03
  100 million jobs.
• 38:05
  That's the number.
• 38:06
  And right now, the only people with any control over that outcome are the same tech oligarchs who've spent the last decade telling you what you can and can't say online.
• 38:15
  That should concern every American, regardless of party.
• 38:18
  And they're gonna have this job loss because why?
• 38:22
  Because what they represent in talent and experience is less than the value of the replacement.
• 38:31
  The replacement is physical robot or AI software.
• 38:35
  Or maybe it probably could be both.
• 38:37
  Some people are going to be replaced by just software and customer service, software and fast food preparation, uh, software and driving.
• 38:45
  You're not gonna have a robot behind the wheel, but you have software driving it.
• 38:48
  It may not even be a steering wheel theoretically, it could be just a mechanism in the front.
• 38:52
  And so they'll start to phase these cars out that have driver-enabled systems.
• 38:58
  It's gonna be driverless.
• 39:00
  So again, how do you put a price on that?
• 39:05
  Well, you don't, but there's gonna be one soon, and that's called universal basic income.
• 39:09
  But we'll get to that here in a second.
• 39:11
  So let's keep let's keep rocking here.
• 39:13
  Let's talk a little bit about who are the companies, who are who's gonna elevate this?
• 39:18
  Well, Amazon already has.
• 39:20
  My understanding is they either have, will, or intend to replace up to 750,000 employees.
• 39:27
  Some of these are people that are probably already existing, that they got robotics have taken their place.
• 39:31
  Some of them may be jobs that were have been filled five years ago, at least based on a uh a fairly conservative financial model for the next five or ten years, which Amazon's very smart people.
• 39:42
  A uh Jeff Bezos is a genius when you think about it.
• 39:44
  I mean, who else can take up a little bit of a a little 500 square foot office, sell a couple books online, and turn it into the largest online retailer?
• 39:52
  My hat's off to them, whether you like his politics or not.
• 39:55
  That guy's smart.
• 39:55
  Let's just come on, he's a smart guy.
• 39:57
  He's created millions of jobs, indirectly and directly.
• 40:00
  He's been great for the world's economy because he created a whole new dynamic on how to create, and for some people, it's been a lifesaver from whether they work there as an employee with stock options, salaries, or people that may have had challenges physically to go up to the stores that comes to your doorstep.
• 40:14
  It's a great deal.
• 40:15
  But let's talk about where he is now.
• 40:19
  Or certainly the people that are running it, because I know he was stepped on a CEO.
• 40:22
  He's got some pretty pretty kick-ass boats, by the way.
• 40:25
  So if you ever seen his yachts, I highly look those up.
• 40:28
  He's got good taste.
• 40:28
  I'll say that for sure.
• 40:30
  And so you look at again how Amazon has positioned themselves.
• 40:35
  Robots are not a robotic engineering, it's not just about replacing people.
• 40:41
  You don't have any HR issues.
• 40:43
  And don't take offense to this, but I'm going to say it anyway.
• 40:46
  There was a study, it was, I think it was Norway, maybe or Finland, but one of those Scandinavian countries.
• 40:53
  There was some complaining about gender inequality in the workplace.
• 40:57
  And I'm sure there's some value to that.
• 40:59
  I'm not an expert on it, but I'm just going to tell you what the study was in a non-biased way.
• 41:04
  Where about 350,000 women were complaining about not being paid or having gender inequality for their workplace and their position.
• 41:12
  So I guess the government had allowed them to all take a day or two off.
• 41:16
  And a lot of the systems that thought were going to fail did not fail.
• 41:20
  HR didn't have as many problems.
• 41:22
  And it could go both ways.
• 41:23
  It could be men, but it just happened to be women had the day or two off to be able to determine whether there was an issue with a gender.
• 41:31
  And there was some things, but what it showed was not so much whether the gender was a problem.
• 41:36
  It was really just about how humans can interact.
• 41:40
  And if you take a lot of that emotions out or biased out or mood swings or reflections of a good day, bad day, you can get a higher level of productivity.
• 41:50
  And men and women are both can be emotional, so I'm not saying one over the other, but I am saying this that a study shows humans are not the most efficient form of business, at least in this study.
• 42:02
  And number two, Amazon's already figured out that robotics can replace humans, and that is extremely efficient and lower cost.
• 42:12
  So as Amazon moves forward with replacing humans at a pre-existing warehouse or future warehouses of jobs that they would have otherwise hired humans, but they're not.
• 42:22
  What's going to benefit them is it's going to bring their costs down, their profits are going to go up, which goes back into the economy and the local, the state, the federal levels, and their shareholders are going to make a lot more money.
• 42:33
  So there is a balance there.
• 42:35
  So again, it's not a bubble.
• 42:36
  But Amazon's going to be one of those companies that will rise because of this transformation of a way in how and who works in the labor force.
• 42:46
  And then let's take, let's take some other companies.
• 42:50
  You've got companies like the car manufacturing business.
• 42:54
  Now, are they going to sell less cars because there's less drivers maybe in the future?
• 42:57
  No, I don't think so.
• 42:59
  I think driverless cars are going to be a part of the transportation business, but not ever going to allow that to overtake people's love.
• 43:08
  And in theory, it's a theory, of course, but I don't see how people are going to be wanting to get rid of driving a car.
• 43:14
  I mean, you get some of these new fancy zippy cars, you know, Ferraris or Porsches or whatever it is, and they're fabulous cars.
• 43:21
  Make no mistake about it.
• 43:22
  And they're zippy and fun and exciting to drive.
• 43:26
  So I don't think you're going to replace the thrill of that.
• 43:29
  And you're not going to replace race car drivers in cars.
• 43:31
  You make a more say technically advanced to win races, but it's still the driver that drives them.
• 43:37
  It's not like, oh, they're on rails or it's a computer.
• 43:40
  Computer helps the systems within the car communicate to the driver, various road conditions, or breaking conditions, or suspension situations, and then they can become alerted to that.
• 43:52
  But it's not going to replace a driver.
• 43:53
  So there are a few things that at least we can say aren't going to be replaced.
• 43:56
  But overall, there's a lot of people.
• 44:00
  I mean, there was an article a couple weeks ago I read or some Democrats and or some economists, it was something like that.
• 44:06
  And they were saying like up to 105 million people replaced in the next five to seven years.
• 44:11
  Well, I start studying it.
• 44:12
  I don't think they're wrong.
• 44:14
  It's a little scary.
• 44:14
  What are you going to do with them?
• 44:16
  Well, I guess you put them on universal basic income, or you call it grants.
• 44:21
  Grants were basically where you give them a certain amount of money to live on, housing vouchers, food vouchers, health care, a number of different things are just straight up cash so they can live.
• 44:32
  But right now, we're talking about AI that is growing in such a way and right now at such a rate that you almost have to ask yourself are the systems growing on their own as they self-taught, self-learn, self-educate, and then double that capacity and the complexity every couple weeks, every few months, because that's how it's happening to where this thing is exponentially going to happen much sooner.
• 44:59
  Is that the reason why we're throwing trillions of dollars in these data centers?
• 45:03
  These data centers are critical infrastructure.
• 45:05
  Without them, you cannot process any of the things I'm saying.
• 45:09
  You cannot do it at all.
• 45:10
  Because it all works on a very thin line of hardware.
• 45:17
  The software runs the programs that are hosted on the hardware, the hardware is hosted in these massive data centers connected at all four points of the world to systematically continue to resolve, improve, increase exponentially productivity within a said well, local, state or federal levels and around the world, and they're doing that.
• 45:42
  When you look at the efficiency of just the fast food or the efficiency of the robotics and how they can pick, pack, ship in an Amazon warehouse, how they can take you from A to B in an autonomous-driven car.
• 45:58
  There's no doubt this is exponentially like this.
• 46:02
  Now, is it this, this, sometimes this, sometimes this, sometimes that.
• 46:06
  So there are going to be some road bumps in the valuations.
• 46:09
  But I got to tell you, I still think that whatever is happening today in five years, in five years, there's going to be about 1.5 trillion to 2 trillion dollars in that ballpark given back to the bottom line of corporations.
• 46:31
  I don't care what you do.
• 46:32
  I don't care if it's McDonald's, I don't care if it's Boeing, I don't care if it's caterpillar, I don't care if it's a Zaxby's, I don't care if it's Chick-fil-A, it could be uh ABC housekeeping, house cleaning.
• 46:47
  So Michael Berry's got this 1.1 billion dollars short on Nvidia and Palantir.
• 46:53
  That's a lot of cash.
• 46:55
  So why would you short Palantir?
• 46:57
  The valuation.
• 46:58
  They don't see the value proposition of the current price.
• 47:02
  In other words, they think it's too expensive given the rational behavior in AI investment right now.
• 47:12
  And I think they're wrong.
• 47:13
  I think that Palantir is properly valued.
• 47:16
  Now, maybe it's a little head.
• 47:18
  Nvidia has asked for more increase in the chips from Taiwan semiconductor.
• 47:25
  If they're ordering more chips and ramping up the needs for more, that means they're getting orders for more.
• 47:30
  If they're getting orders from more, that means they're getting that people are getting orders for the servers where the chips go into.
• 47:36
  If the servers are getting ordered, the REITs or the companies constructing or building these data centers are getting orders and getting cash.
• 47:45
  Now, again, you may have some seasonal stuff, or you might actually have some things where maybe one quarter, one month, slow down until people can kind of gain their breath again.
• 47:56
  Like, okay, here we are.
• 47:59
  So again, it goes back to that same thing.
• 48:01
  Do you uh believe that the revolution of technology evolution is capable enough to maintain that momentum?
• 48:12
  There just seems to be no downside consequences when you have a company that is trying to increase shareholder value, and one of the ways of which is to maintain the same goal as when you started the business.
• 48:29
  Keep the overhead as low as possible, increase and maximize product development, increase and maximize consumer adoption and consumption, all within the realm of a budget.
• 48:39
  I mean, it's a lot.
• 48:40
  You've got to identify your market, your customer, identify the product within the customer in the market needs and demand and supply chains.
• 48:47
  It's all part of the conditioning of building a business.
• 48:50
  You're going to want to make sure that you can scale quickly.
• 48:53
  AI offers that, robotics offers that.
• 48:56
  Humans have to be taught, learned, trained, educated, handholding a lot of times.
• 49:02
  I mean, HR departments aren't going to exist.
• 49:04
  There's just no need for it.
• 49:06
  You're not going to have sexual harassment issues.
• 49:08
  You're not going to have, I'm sick, I need PTOs, pay time off.
• 49:13
  You're not going to have any of those issues.
• 49:15
  And at that point, at that point, you're going to determine if I take 10 employees and replace them with 10 robots.
• 49:21
  It could be three robots that replaces what they do, even if it's just as good, but it's systematically less expensive, you're going to do it.
• 49:31
  That's the role of a business owner or somebody at that C level executive level, that CEO, COO, CFO, CTO.
• 49:40
  They're going to say, my job is a C level person in a company organization or as a business owner, or just somebody who's a partner, it could be anybody affiliated, just they have that passion.
• 49:49
  We've got to maintain the lowest cost denominator to create the maximized amount of sales and the customer service that needs to still be effective in order to be able to.
• 50:00
  To maintain what we have and to grow what we need to.
• 50:03
  The United Nations just released a report with a title that should concern every American The Next Great Divergence.
• 50:10
  This isn't about climate change or sustainable development goals.
• 50:14
  This is about artificial intelligence and who gets to control it.
• 50:18
  The report, published this week by the UN development program, warns that AI is about to create a massive split between nations.
• 50:26
  The rich will get richer, the powerful will get more powerful, and entire regions of the world will be left in chaos.
• 50:33
  Now you might be thinking, that's their problem, not ours.
• 50:37
  But here's where it gets concerning for Americans.
• 50:40
  The UN's own chief economist, Philip Shelikins, laid out exactly what happens when this divergence takes hold.
• 50:47
  His words were clear.
• 51:00
  When AI destabilizes developing nations, eliminating jobs, concentrating wealth, creating unrest, those problems don't stay contained.
• 51:09
  They show up at our border.
• 51:11
  They show up in our cities.
• 51:13
  They show up in the form of security threats that American taxpayers have to address.
• 51:17
  The report focuses heavily on the Asia Pacific region, which now accounts for more than half of all AI users on the planet.
• 51:24
  And which nations are reaping the benefits of this technological revolution.
• 51:29
  Singapore, Japan, and China.
• 51:33
  That's right.
• 51:33
  While millions of workers in developing nations face job losses from automation, while women and young people see their employment prospects evaporating, the Chinese Communist Party is positioned as one of the primary beneficiaries of the AI boom.
• 51:48
  The United Nations calculates that AI could add nearly one trillion dollars in GDP to the Southeast Asian nations over the next decade.
• 51:56
  But those gains aren't distributed equally.
• 51:59
  They're flowing to nations with existing infrastructure, existing wealth, and existing power.
• 52:40
  They want to determine which technologies get prioritized.
• 52:43
  They want coordinated policies across borders.
• 52:46
  The report even states that it should be the world's people who choose which technologies to prioritize.
• 52:52
  But somehow that choice gets filtered through UN development programs and international policy frameworks rather than through sovereign nations making their own decisions.
• 53:01
  Meanwhile, what's happening to American workers?
• 53:04
  The same forces creating a great divergence between nations are operating right here at home.
• 53:10
  The same automation that threatens jobs in developing countries threatens jobs in Ohio, in Pennsylvania, in Michigan.
• 53:17
  The same concentration of AI capability in the hands of a few powerful players is happening in Silicon Valley.
• 53:24
  The difference is that American workers don't have the UN advocating for their interests.
• 53:29
  They have globalist institutions more concerned with managing international inequality than protecting the American middle class.
• 53:36
  And consider the security implications the UN itself admits are coming.
• 53:41
  When AI eliminates millions of jobs in unstable regions, when it concentrates wealth in the hands of authoritarian regimes like China, when it leaves entire populations behind with weak connectivity, unreliable power, and limited technology skills, where do those displaced populations go?
• 54:00
  The UN report warns of migration pressures.
• 54:03
  It warns of security challenges.
• 54:06
  It warns of consequences that will spill across borders, but it offers no real solutions for Americans who will bear the burden of that instability.
• 54:14
  The United Nations calls this the next Great Divergence, a reference to the industrial revolution that separated the developed world from everyone else for generations.
• 54:24
  But there's another way to look at it.
• 54:26
  This is a warning that the institutions managing the global economy are already planning for a future where AI creates winners and losers on a massive scale, and they're positioning themselves to manage that transition, with coordinated international policies, with global frameworks, with decisions made far from American voters.
• 54:46
  The question Americans need to ask is simple.
• 54:49
  In this great divergence, where do we end up?
• 54:52
  And who's actually looking out for us?
• 54:55
  Because based on this report, the United Nations has much bigger priorities than the American worker.
• 55:00
  The divergence isn't coming.
• 55:02
  It's already here.
• 55:04
  And the people planning for it aren't in Washington, they're in Geneva.
• 55:09
  So when you're looking at the AI boom, and it's a period of rapid growth and field of artificial intelligence.
• 55:15
  Is the current boom going on, which it really started back around 2010, 2011 and in its early stage forms.
• 55:27
  Some people are going to argue no.
• 55:28
  But in the next 36 to 48 months, I can promise you this.
• 55:32
  We're sure going to find out.
• 55:34
  And today's show was all about AI.
• 55:37
  And many of the things of which I talked to, we're going to put into this into this show here, and you'll be able to see it firsthand.
• 55:43
  And you'll be able to read it and look at it in the same context that we did.
• 55:47
  And we're still not sure that the jury's ever going to come back with a verdict either way for some time.
• 55:52
  But when it does, we'll be right there to let you know.
• 55:54
  Or you may soon find out for yourself, because the job losses that we're experiencing here in the uh late third quarter going on, we're in the fourth quarter of uh 25.
• 56:05
  We're seeing hundreds of thousands of people laid off for no other reason than being replaced by I call it synthetic intelligence.
• 56:12
  Intelligence that's synthetically driven, that's self-taught, self-learning, and literally can be smarter than us in a matter of days, months, or years to where we could never turn it off.
• 56:24
  So this is Christian Briggs and the host of the Hard Asset Money Show.
• 56:27
  Today's show is on AI, and we really appreciate everybody tuning in.
• 56:30
  Thanks.
• 56:31
  Gold has more than doubled in just five years, rising from 1700 an ounce in 2020 to over 3800 an ounce by September 2025.
• 56:40
  That's a 124% gain, outperforming the market and proving why gold is the ultimate long-term hedge.
• 56:47
  As global debt soars and currencies weaken, central banks are hoarding gold at record pace.
• 56:52
  Why aren't you?
• 56:53
  Call 844-426-4653 or visit BMCHAM.com.
• 56:59
  Protect your future with real assets, own gold now.
• 57:05
  In uncertain times, the smartest money doesn't sit in the stock market, it holds weight.
• 57:10
  The price of gold has risen from 1700 an ounce in 2020 to over 3800 by late 2025.
• 57:17
  Silver is currently around 46 an ounce, a 155% increase from roughly $18 five years ago.
• 57:24
  Follow on X at BMC underscore H A M for all news and the latest developments.