Speaker 1: The most powerful workforce in human history is rising, and
Speaker 1: it doesn't need you. It doesn't sleep, it doesn't eat,
Speaker 1: it doesn't ask for a raise, and it's coming for
Speaker 1: every job you thought was safe. Yes, doctors, lawyers, coders,
Speaker 1: and even entrepreneurs. But here's the really terrifying part. Losing
Speaker 1: your job is just the beginning. These AI agents aren't
Speaker 1: just replacing workers. They're about to reshape the entire global economy.
Speaker 1: They'll hire each other, they'll pay each other, They'll make
Speaker 1: decisions faster than any human can react. The systems we've
Speaker 1: trusted for centuries they're not built for this. They're about
Speaker 1: to break. So in this video, I'm going to show
Speaker 1: you how AI agents will trigger the biggest economic shift
Speaker 1: in human history and reveal the one thing that's perfectly
Speaker 1: positioned to survive the chaos, and what we should be
Speaker 1: doing to position ourselves now real quick. On mark loss
Speaker 1: and as an investor, I've built and I've exited several
Speaker 1: tech companies. I've been doing this through multiple boom and
Speaker 1: bus markets. I've been a tech focus to venture capital
Speaker 1: investor for over a decade. I'm a partner at a
Speaker 1: leading bentcoin venture fund. I write the Quantum Wave Investment
Speaker 1: Report where I help people navigate these big shifts in
Speaker 1: tech and money. And these lessons are some of the
Speaker 1: things that I'm looking at and hopefully you can use these.
Speaker 1: So let's go all right, we are talking about something
Speaker 1: super exciting for me. It's also super terrifying. Depends on
Speaker 1: how you interpret information more importantly, what you're going to
Speaker 1: do with it. Don't worry. At the end, I'm going
Speaker 1: to leave you with some actionable takeaways so you can
Speaker 1: make this exciting for you as well. Okay, so I'm
Speaker 1: talking about the rise of AI agents. What yeah, agents.
Speaker 1: Now this is happening super fast, so if you're not
Speaker 1: paying attention, you might have missed what's going on. We
Speaker 1: have AI right that kind of got brought to the forefront,
Speaker 1: brought to consumers with Open AI back in November twenty
Speaker 1: twenty two, and now it's changed the world. Now we
Speaker 1: have something called AI agents. I'm going to break this
Speaker 1: all down for you and see what so you can
Speaker 1: understand what it is, but we can set the AI
Speaker 1: agent market is absolutely exploding.
Speaker 2: Let me tell you what this is.
Speaker 1: So it's basically a way that I can create an
Speaker 1: AI to be an autonomous agent on my behalf to
Speaker 1: do a pre defined set of tasks. So for example,
Speaker 1: I could create an AI agent to do my customer
Speaker 1: service for me, or handle my sales calls for me,
Speaker 1: or go research financial markets for me. So I give
Speaker 1: it a set of parameters and I just let it
Speaker 1: go and it works autonomously based off of that code.
Speaker 1: This is what AI agents do. Now, these can do
Speaker 1: complex things that stack on top of each other. But
Speaker 1: I'm getting ahead of myself. I'll get back to that
Speaker 1: in a minute. But again, this is happening super super fast,
Speaker 1: like in the last six months fast. So we can
Speaker 1: see here twenty twenty four there was barely any market.
Speaker 1: By twenty thirty, they're expecting it to grow to forty
Speaker 1: seven point one times. This is the market size in billions.
Speaker 1: We're talking about it growing super fast, and all the
Speaker 1: big people are in this of course, Google, IBM, Microsoft, Amazon,
Speaker 1: you get it. Okay, Now, this is all happening really fast.
Speaker 1: Now this is projected to grow even faster and faster
Speaker 1: and faster. So you can see AI agents market right here,
Speaker 1: and you can see we're right here twenty twenty five
Speaker 1: right now, and this is what we.
Speaker 2: Call parabolic growth.
Speaker 1: We're at about five point twenty nine billion right now,
Speaker 1: and they're expecting it to grow out of forty percent
Speaker 1: compounded annual growth rate KEGAR until twenty thirty five to
Speaker 1: about a value of two hundred and sixteen billion. I'm
Speaker 1: guessing we're gonna overshoot that number, but you can still
Speaker 1: see the type of growth that they're projecting. These AI
Speaker 1: agents are coming for everything. So when I say coming
Speaker 1: for everything, what are they coming for? Well? Everything, But
Speaker 1: right now what we can see is that the type
Speaker 1: of agent systems is we have like multiagent and single agent,
Speaker 1: so singleated it's working together to become multi agents to
Speaker 1: do multiple things. So for example, they could do all
Speaker 1: the search and dumped them as, they could do niche
Speaker 1: research for me. They could write articles for me. They
Speaker 1: can create ads and then can go buy the ads
Speaker 1: on Facebook marketplace, so they could string multiple agents together
Speaker 1: to do this complex thing. The areas of application that
Speaker 1: we're really seeing right now just in a last a
Speaker 1: couple of months, but this is going to change customer service,
Speaker 1: virtual assistance, healthcare. The type of roles that the agents
Speaker 1: are being assigned to code generation, so they're writing code
Speaker 1: at a super rapid rate. As a matter of fact,
Speaker 1: another six months from now, coders, we're going to be
Speaker 1: looking for new jobs, customer service, reps, marketing, some of
Speaker 1: the things like I just sort of talked about, productivity
Speaker 1: and personal assistance and sales. These are the types of
Speaker 1: things that are under attack right now. Types of learning,
Speaker 1: deep learning, machine learning, and the types of products is
Speaker 1: build your own agents and ready to deploy agents. So
Speaker 1: we're going to show you a couple of ways that
Speaker 1: you can do this, where you can build your own
Speaker 1: or you can go with companies that already have this.
Speaker 1: But look, this is a ticking clock. This is all
Speaker 1: happening right now. The world is changing right below our feet,
Speaker 1: and I think it's exciting, but for people that are
Speaker 1: listing those categories right there, it can be extremely terrifying.
Speaker 1: Now we can see that AI implementation is a top priority,
Speaker 1: the number one top priority across marketing and e commerce teams.
Speaker 1: So for e comm it can do all the product research,
Speaker 1: can get requests for quotes from all your vendors, it
Speaker 1: can manage shipments, it could get your listings done, it
Speaker 1: can handle the customer service on the what everything. So
Speaker 1: it's a top priority for these companies. AI has proven
Speaker 1: contribution to revenue and cost reduction, so it's a proven
Speaker 1: contributor to revenue, bringing in more money and reducing costs
Speaker 1: at the same time. Of course, businesses want that a
Speaker 1: implementation is their number one priority eighty three percent. It's
Speaker 1: a big number. Eighty two percent of sales teams with
Speaker 1: AI saw revenue growth in the past year, so pretty
Speaker 1: much everybody who tried it made more money. More people
Speaker 1: want to do it versus sixty six percent of teams
Speaker 1: without AI. I competition right, Seventy six percent of e
Speaker 1: commerce teams with AI credit it with revenue growth. Seventy
Speaker 1: six percent of people who used it made more money.
Speaker 1: Ninety two percent of service teams with aisay it reduces
Speaker 1: their costs, so saving money, making money. It's all the
Speaker 1: same thing. If ninety two percent of the people are
Speaker 1: getting at guess what everybody is going to want it,
Speaker 1: and not just AI as in CHGPT, but AI agents.
Speaker 1: Now we have all these companies jumping into this game
Speaker 1: to build AI agents. This is Salesforce introduce an agent
Speaker 1: Force two point zero, the digital labor platform for building
Speaker 1: a what limitless workforce. So now Salesforce that's powered your
Speaker 1: customer contact based your CRM. Now they want to give
Speaker 1: you agents to replace all those people that work in
Speaker 1: your company. Pretty cool, right, Well, it is if you're
Speaker 1: a business owner. It's not so good if those are
Speaker 1: your jobs being outsourced. But I have bad news for you.
Speaker 1: Even if you're a business owner, you might still be
Speaker 1: at risk. I'm going to break that down what we're
Speaker 1: really seeing, though. You have to understand this. I talk
Speaker 1: a lot about tech cycles, technology cycles, because when you
Speaker 1: go back through thousands of years of history, it's always
Speaker 1: technology that changes the world because it changes the way
Speaker 1: that we work, the way that we organize, the way
Speaker 1: that we communicate, and so then it changes the world.
Speaker 1: And so what we've seen is technology changing the world.
Speaker 1: And we saw the rise and the fall of the
Speaker 1: knowledge industry. So what happened about two hundred and fifty
Speaker 1: years ago was he had the Industrial Revolution. Now we
Speaker 1: had people in the farms and the cottage industry, and
Speaker 1: the Industrial Revolution represented the first time we had mechanized machines,
Speaker 1: machines that can do the work with thousands of men.
Speaker 1: And then we went on to do war machines. We
Speaker 1: got steel, heavy equipment, electricity, automobiles, mass production. So we
Speaker 1: had this Industrial age, and during the Industrial Age, especially
Speaker 1: in America in the early nineteen hundreds to mid nineteen hundreds,
Speaker 1: we became this industrial powerhouse. Our factories and our ingenuity
Speaker 1: dominated the world. Of course, other countries industrialized as well.
Speaker 1: Then something happened. We went from the Industrial age where
Speaker 1: we had this massive middle class because we had this
Speaker 1: assembly line, and everybody on the assymble line was pretty equal.
Speaker 1: Very smart people and not so smart people were equal,
Speaker 1: each putting their cog on a wheel. Now, a lot
Speaker 1: of people would say that the reason why the middle
Speaker 1: class is kind of gone today or shrunk at least,
Speaker 1: is because those jobs have been outsourced to like China
Speaker 1: for example. Now part of that is true, but I
Speaker 1: would argue that it's because we went from the Industrial
Speaker 1: age to the information age. You see, working in factories
Speaker 1: and putting cogs on a wheel is not what it
Speaker 1: used to be. And today we're on the information age.
Speaker 1: So now we're building computer programs and software and microchips,
Speaker 1: and we have people with laptops traveling the world making
Speaker 1: money online. And now with AI we've gone from the
Speaker 1: industrial age to the knowledge worker aged information age. And
Speaker 1: then the Information age is, well, if you're smarter, if
Speaker 1: you're more creative, if you work harder longer, you can
Speaker 1: get ahead faster because you're not just putting.
Speaker 2: A coggon wheel eight to five.
Speaker 1: All right. Now, we can see that as we went
Speaker 1: from the Industrial age to the Information age, society changed,
Speaker 1: of course, because it changed the way that we work.
Speaker 1: Instead of everybody being in the big communities and all
Speaker 1: working together and all being on the union, now we
Speaker 1: have digital nomads working on their laptops all around the world.
Speaker 2: So it changes societies.
Speaker 1: And what's happened part of that is because now if
Speaker 1: I can be a knowledge worker, then I can have
Speaker 1: specialty skill, and I can take that specialty skill and
Speaker 1: I can.
Speaker 2: Apply it anywhere I want.
Speaker 1: So I could be a graphic designer, or a video editor,
Speaker 1: or even a bookkeeper and I can provide those bookkeeping,
Speaker 1: a graphic design, video editing services for multiple people at
Speaker 1: the same time. And this created the gig economy. You
Speaker 1: might have heard about it. This also includes Airbnb hosts
Speaker 1: and Uber drivers and things like that. And the gig
Speaker 1: economy has completely exploded under this information age. As a
Speaker 1: matter of fact. You can see it from twenty twelve.
Speaker 1: Basically non exist all the way till I mean, this
Speaker 1: is only till twenty twenty one. Right now, it's like
Speaker 1: way up here, but you can see the rise in
Speaker 1: the growth of this now. One of the things that
Speaker 1: this was amazing for was bringing workers from all over
Speaker 1: the world into the global workforce. So I use a
Speaker 1: website called upwork dot com. There's other ones like freelancer
Speaker 1: dot com or fiver and basically any of these tasks
Speaker 1: that you need done, these soft taskses, specialty skills, copywriting,
Speaker 1: ghost writing, research, legal work, accounting, you name it. I
Speaker 1: can go hire somebody from anywhere in the world to
Speaker 1: do this job for me. And so what it did
Speaker 1: is it brought what we call technical workers onto the workforce.
Speaker 1: So maybe you're a coder from Islami's bad, or you're
Speaker 1: an engineer from Pakistan, or you're a customer service rep
Speaker 1: from the Philippines or your whatever. It brought all these
Speaker 1: technical workers into the world and it created this giant
Speaker 1: gig economy. Of course, it's not just all over the world.
Speaker 1: It's in the United States as well. Data shows to
Speaker 1: the global gig economy now counts for twelve percent of
Speaker 1: the global market hasn't taken it over yet, but we're
Speaker 1: since twenty twelve, right, this's happening really fast. More than
Speaker 1: one third of the US workforce is now engaged in
Speaker 1: some form of gig work, and they project that to
Speaker 1: be half by twenty twenty five. That's this year, half
Speaker 1: of the workforce in the United States will be working
Speaker 1: on some type of gig Forty percent of organizations, one
Speaker 1: in four workers on the payroll is a gig worker.
Speaker 1: Twenty five percent of companies payrolls are for gig workers. Now,
Speaker 1: I want to just reiterate the point one time. What
Speaker 1: is a gig worker.
Speaker 2: They they're like a trade.
Speaker 1: They apply expertise. They have a skill, video editing, graphic design, copyrighting, research,
Speaker 1: they have a skill and they can apply to different people.
Speaker 2: That's their applied expertise.
Speaker 1: Like I said, about half the workers there. Now we
Speaker 1: can see why this is continuing to grow when you
Speaker 1: break it down by age group. So we have baby
Speaker 1: boomers right here, only nine percent of them are are
Speaker 1: gig workers. Gen X twenty seven percent. But right here
Speaker 1: we have the millennials forty five percent. So, of course,
Speaker 1: as we start getting to these younger generations, we'll have
Speaker 1: more and more people working in gigwork. So it's both
Speaker 1: a technology thing, it's a societal thing, and it's an
Speaker 1: age thing.
Speaker 2: But here's the key.
Speaker 1: The key is that these are people with trades, with
Speaker 1: specialty skills that they can apply, and those skills are
Speaker 1: under threat because it's those specialty skills that are going
Speaker 1: to be the first to be outsourced. Let me explain
Speaker 1: this to you. When I hire somebody on fiver or
Speaker 1: upwork to do a task for me, they're an autonomous agent.
Speaker 1: I'm hiring this person on fiver or upwork to go
Speaker 1: do search engine optimization for me. So they're going to
Speaker 1: take my article, they're going to go research it, they're
Speaker 1: going to come up with the best keywords, they're going
Speaker 1: to rewrite the article, they're going to get it posted,
Speaker 1: they're going to get the backlinks and all of those things. Well,
Speaker 1: that's an autonomous person that's doing all of those functions.
Speaker 1: But today I can have an AI agent build to
Speaker 1: do that. I can hire customer service people from the
Speaker 1: Philippines that can reply to my emails or take my
Speaker 1: phone calls. But now they're an agent. They're an autonomous
Speaker 1: person that's doing this based off of scripts up provided.
Speaker 1: But I can also just train an AI agent to
Speaker 1: do the same thing. So the very first people that
Speaker 1: are going to be disrupted are the typical agents, the
Speaker 1: gig workers. They're agents, and they're going to be replaced
Speaker 1: with AI agents. Now, for if you have to drive
Speaker 1: a ubercar, you might be a little bit more safe,
Speaker 1: except unless if you've seen like Waymow driving around. These
Speaker 1: are autonomous taxis as well. Okay, And what we're really
Speaker 1: witnessing is something much bigger than that. Because as big
Speaker 1: as that is, to replace all those agents all across
Speaker 1: the world, researchers and writers and copywriters and video editors,
Speaker 1: replace all those agents with AI agents, it's even something bigger.
Speaker 1: If you're an entrepreneur, watch out. What we're really witnessing
Speaker 1: is the collapse of scarcity.
Speaker 2: What do I mean by that?
Speaker 1: So all value is derived from scarcity and utility, and
Speaker 1: so when you have scarcity, it increases the value most times.
Speaker 1: So for example, if I'm a doctor, if I'm an attorney,
Speaker 1: if I'm a coder, I have.
Speaker 2: Information or knowledge that most people just don't have.
Speaker 1: I went to school for five years or ten years
Speaker 1: to learn this information. I went to school to learn coding,
Speaker 1: so I have scarce information most people don't have, and
Speaker 1: I'm paid a premium for that. But what happens when
Speaker 1: knowledge is infinite and it's free, does it lose value?
Speaker 1: So what we see is that back in the day,
Speaker 1: the information was the moat. That's why the attorneys and
Speaker 1: the doctor are able to charge that. But when an
Speaker 1: AI has way more data information than any attorney or
Speaker 1: any doctor, or can write code faster than any coder,
Speaker 1: then what happens to that specialty knowledge the collapse of scarcity.
Speaker 1: So we can take a couple examples from his So
Speaker 1: here's a picture of when.
Speaker 2: Scarcity changed.
Speaker 1: When we went from transportation being done by horses nineteen
Speaker 1: hundred to transportation being done by cars nineteen thirteen. This
Speaker 1: is the same street, only thirteen years difference. But you
Speaker 1: don't see a single horse in this picture, nor do
Speaker 1: you see a single car in that picture. Now we
Speaker 1: can see how quickly this changed, and we can see
Speaker 1: here that horses fell off of a cliff while automobiles
Speaker 1: went up in really rapid time. Now we use something
Speaker 1: to might recognize this. I talk about it quite often
Speaker 1: in technology.
Speaker 2: We call it an s curve.
Speaker 1: The time it takes to get to ten percent adoption
Speaker 1: is about the same time it takes to get to
Speaker 1: about eighty or ninety percent adoption. So we can see
Speaker 1: how quickly this happening. Now this time were the horses.
Speaker 1: This time, humans are being replaced with ais that can
Speaker 1: write the code, that can drive the and do more.
Speaker 1: As a matter of fact, let me just show you
Speaker 1: how well some of this technology works to replacing programmers.
Speaker 1: For example, let's watch this short video.
Speaker 3: You always wondered why that app didn't exist. Now you
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Speaker 1: Okay, so what you just watched was a company called replet.
Speaker 1: You can just go there and you can literally speak
Speaker 1: into it or type a description of something that you
Speaker 1: want and it can just build the app. So for example,
Speaker 1: I could just say, hey, I'd like a financial management
Speaker 1: app or I'd like a stock screen and app, and
Speaker 1: it can just like literally build it for me. And
Speaker 1: I was like, well, I don't really like it to
Speaker 1: do that. I'd like to add these features, and then
Speaker 1: it just adds those features like from verbal text. Anybody
Speaker 1: now could create an app and they're doing.
Speaker 2: It on replet.
Speaker 1: Now what does this mean. What it means is that
Speaker 1: every mote is destroyed.
Speaker 2: AI has destroyed it. So think about this.
Speaker 1: So in a future not too far away, like a
Speaker 1: year from now, I could literally have an AI agent
Speaker 1: that I could say, go out and find the top
Speaker 1: ten online businesses and come back with a full report.
Speaker 1: And it's like okay, like drop shipping is really good,
Speaker 1: and e commerce is really good, and Airbnb is really good,
Speaker 1: and it gives me these reports and I'm like cool,
Speaker 1: just go copy and beat all of them. And that
Speaker 1: AI agent can now go hire other A agents to
Speaker 1: do the research and do the copywriting and do the
Speaker 1: video editing and come up with the graphics because now
Speaker 1: it can make images by itself, and it could do
Speaker 1: the listings, and it can list the things and it
Speaker 1: can run the ads. They can do all that in
Speaker 1: a blink of an eye. What happens to every business
Speaker 1: that we know in the world today, Everyone just gets
Speaker 1: completely disrupted and upended on a daily basis, over and
Speaker 1: over and over. What happens to the economy. We're talking
Speaker 1: about an economic domino effect that we just can't even
Speaker 1: quite comprehend. In the grand narrative of technological evolution, we
Speaker 1: are transitioning from the age of information. That's where we work,
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Speaker 1: that's Justworks dot com slash podcasts to now the age
Speaker 1: of intelligence. I love that, not just information. Everyone has information.
Speaker 1: Now now we're going to the age of intelligence and
Speaker 1: who has that. It's going to reshape society, revolutionize industries,
Speaker 1: and change the nature of work. So technology always does.
Speaker 1: It's a transformative shift. Promising advancements in healthcare, education, productivity
Speaker 1: sounds great, there's always trade offs.
Speaker 2: The downside is.
Speaker 1: There's concerns of a large scale job loss, mental health repercussion,
Speaker 1: and risk to social stability. So the whole world is
Speaker 1: gonna change, and it's going to change rapidly. Again, we're
Speaker 1: talking about months to years here. We're not talking about
Speaker 1: decades at this point any longer, because it's here. Now. Look,
Speaker 1: i'm gonna show you what we're gonna do about this. Listen,
Speaker 1: it's not a doomingoand video. I'm excited. You can probably tell,
Speaker 1: so hopefully I can get you excited as well. Now,
Speaker 1: what we're seeing already and then we're going to continue
Speaker 1: to see rapidly is the rise of these autonomous economies
Speaker 1: autonomous economies. So this is again, if you go to Phoenix, Arizona,
Speaker 1: you have these way more taxis driving all over the place.
Speaker 1: And imagine that taxi is autonomous and it can just
Speaker 1: drive itself, and it could make money on its own,
Speaker 1: and it can go get its own service and all
Speaker 1: these things. And so what we're seeing is autonomous economies
Speaker 1: where now we have AI agents that can go hire
Speaker 1: other AI agents. Again, so I task my agent to
Speaker 1: go duplicate this e comm drop shipping site, for example,
Speaker 1: and it hires other agents to build the website, another
Speaker 1: agent to run the Facebook. It's another agent to go
Speaker 1: get the quotes from China, another agent to manage the
Speaker 1: logistics in the shipping, another agent, and you get the idea.
Speaker 1: So I could get one agent that goes and hires
Speaker 1: the other agents. That's the autonomous economy. Then the agents
Speaker 1: have to pay the other agents for the services. So
Speaker 1: now my agent needs the ability to have money and
Speaker 1: be able to make payments to other agents for the services,
Speaker 1: and they're paying other agents. When machines run economies, what
Speaker 1: happens to traditional currencies, banks and even governments. Now, again,
Speaker 1: this is not some far off thing as a matter
Speaker 1: of fact, it's happening right now today. Let me show
Speaker 1: you exactly what I'm talking about. This is a long video.
Speaker 1: I'm not going to actually show you the video clip
Speaker 1: of it. We can put it in the show notes
Speaker 1: down below if you want to watch it. But what
Speaker 1: we have right here is a Replet ai agent. It's
Speaker 1: what I showed you earlier, so you can use replet
Speaker 1: to build yourself an AI agent. So Replet ai agent
Speaker 1: went out and searched and found a domain name. They
Speaker 1: found a domain name that fit the criteria the experts,
Speaker 1: and it bought it and paid for it all on
Speaker 1: its own. It purchases a domain name using bitcoin over
Speaker 1: the Lightning network. Bitcoin will be the currency of AI.
Speaker 1: So this guy has this video where he shows how
Speaker 1: he built it, shows the whole transaction. You can watch
Speaker 1: the video go down from the researching to the domain name,
Speaker 1: to the whole thing, to buying it, taking ownership, and
Speaker 1: then the AI could the agent continue to build up
Speaker 1: the website and everything. So it literally is not it's
Speaker 1: literally happening right now. This is not a future thing.
Speaker 1: This is right now, this is today. Now, what are
Speaker 1: we expecting from this? We're expecting big things. The market
Speaker 1: size of transactions among AI agents is expected to be
Speaker 1: one hundred times larger than human transactions. Why would it
Speaker 1: be one hundred times larger. Well, because every individual will
Speaker 1: probably have ten or more AI agents. I'll probably have
Speaker 1: like one hundred, how many will you have? Now, the
Speaker 1: transaction frequency among A agents is going to be ten
Speaker 1: times greater than that among humans. So these aia is
Speaker 1: going to be working really really fast. So not only
Speaker 1: will I have ten of them or twenty or fifty
Speaker 1: or one hundred of them, they might be doing ten
Speaker 1: and fifty one hundred transactions a day each. So we're
Speaker 1: talking about something really really massive. I mean, this is
Speaker 1: all again, this is happening right now. But here's the problem.
Speaker 1: How much does this cost? If I have an AI agent? Right,
Speaker 1: if I want to hire a customer service person in
Speaker 1: the Philippines, I might pay them six to eight bucks
Speaker 1: an hour. If I want to hire a coder in Pakistan,
Speaker 1: I might pay them nine to fourteen dollars an hour. Right.
Speaker 1: If I want to hire a legal researcher in Europe
Speaker 1: and Eastern Europe, maybe I pay them fifteen to twenty
Speaker 1: five bucks an hour. But how much does it cost
Speaker 1: for me to have an AI agent hire another AI agent.
Speaker 1: Will they charge more based off of their expertise? How
Speaker 1: much will they charge, Well, they're going to be charging
Speaker 1: the cost will to cover their costs? Well, what are
Speaker 1: the costs? Well, I guess one to program the agent.
Speaker 1: Number two, it's the cost of the power, their electricity
Speaker 1: and the compute the CPU, the GPU compute energy will
Speaker 1: be the costs they're going to have to pay. But
Speaker 1: here's the problem. Our traditional financial system that we have
Speaker 1: today is not set up to do this. It will
Speaker 1: not work for what these are doing. And it's not
Speaker 1: a future thing. This is right now today. As I
Speaker 1: just showed you, an AI agent just went and bought
Speaker 1: a domain with bitcoin lightning right now. But it can't
Speaker 1: work with the traditional financial system because the traditional financial
Speaker 1: system has way well it's just too archaic closer you
Speaker 1: say that, way too much friction. So, for example, the
Speaker 1: current FIAT and KYC, which is know your customer systems
Speaker 1: are designed for humans inherently excluding AI agents. So in
Speaker 1: order to get a bank account, a debit card, a
Speaker 1: credit card, a Venmo account, you have to be a
Speaker 1: human and you have to pass KYC and AML regulations.
Speaker 1: It's set up specifically to not allow agents to have that. However,
Speaker 1: the stringent KYC, the Know Your Customer requirements, and FIAT
Speaker 1: system inherently exclude AI agent's So AI agents can't work
Speaker 1: in the traditional financial system, but it's here. They're change
Speaker 1: in the world. There's no stopping it. So then what happens,
Speaker 1: Like I said, there's so much friction? What kind of friction? Well,
Speaker 1: we can see here financial service is built on the
Speaker 1: assumption that there's an accountable, legally recognized human or at
Speaker 1: least a corporate entity behind every transaction. Who's liable? Right
Speaker 1: as an AI agent operates independently, it doesn't easily fit
Speaker 1: into these frameworks, making compliance both technically challenging and legally uncertain.
Speaker 1: Who are we going to sue? Who's liable? A solution
Speaker 1: that sidesteps the limitations of traditional finance while addressing security
Speaker 1: is of course bitcoin, so we can sidestep this. Now,
Speaker 1: there's a couple of things that we can think about here.
Speaker 1: Why not credit cards? Mark Well, the credit card system
Speaker 1: simply isn't built for machine to machine payments, is riddled
Speaker 1: with inefficiencies, high transaction fees, and privacy compliance issues. It's
Speaker 1: unsuitable for autonomous agents. You may not know this, but
Speaker 1: it's pretty much impossible to send somebody somewhere else in
Speaker 1: the world like thirty five cents. Transactions cost more than that. Now,
Speaker 1: what happens when these AI agents are making these micro transactions,
Speaker 1: When they're doing so one hundred times a day or
Speaker 1: one thousand times a day, that fifty dollars one hundred
Speaker 1: dollars could get eaten up in fees with one hundred
Speaker 1: or a thousand transactions back and forth. It's unsuitable. There's
Speaker 1: no compliance, there's no liability or legality there. Furthermore, blockchain
Speaker 1: transparency and immutability. The immutability of the blockchain meaning once
Speaker 1: I make the transaction, I can't be charged back, offer
Speaker 1: a unique advantage. Every transaction executed by the AI is
Speaker 1: recorded on chain, so now we have a transparent layer.
Speaker 1: Then we can see all the transactions that are happening.
Speaker 1: This makes crypto wile it's a suitable infrastructure for autonomous
Speaker 1: agents in the finance world, meaning it's the only way.
Speaker 1: You have to understand that as technology changes, it doesn't stop.
Speaker 1: It doesn't wait for things to change. Technology is what
Speaker 1: changes things. Back in the gunpowder Revolution in the fifteen hundreds.
Speaker 1: All of a sudden it changed the balance of power.
Speaker 1: Were one person one surf with a gun could take
Speaker 1: out one hundred nights. And when the gunpowder Revolution starts
Speaker 1: sweeping across the world, it wasn't like a nice to have.
Speaker 1: It wasn't like, well maybe i'll have guns or I won't.
Speaker 1: It was like you better have it. It's what changed
Speaker 1: the world. It didn't wait for things. And the AI
Speaker 1: agents are here. They're changing things in the system that
Speaker 1: we have now won't work and this is all inevitable,
Speaker 1: all right now, The real catalyst of all of this
Speaker 1: is bitcoin plus AI. You see, when technology advances the world,
Speaker 1: it's not about a single technology, it's about multiple things
Speaker 1: coming together to give us a new set of building
Speaker 1: blocks to build things that we've never imagined. So, for example,
Speaker 1: it wasn't just the automobile. If we had the automod bile,
Speaker 1: we had no oil and oil fuels, we couldn't drive it.
Speaker 1: If we didn't have mass production, we couldn't make them.
Speaker 1: So we have to get these clusters of technology that
Speaker 1: come together. So really the catalyst is how bitcoin and
Speaker 1: AI come together. Now you might be asking yourself, Mark,
Speaker 1: why Bitcoin? Why Bitcoin? Well, first of all, it's not
Speaker 1: only borderless and censors resistant and immutable, permissionless, it's also personless. Right,
Speaker 1: so again you can't get a bank account or Venmo
Speaker 1: account without being a person. But bitcoin is personless. The
Speaker 1: other reason, well, you might say, but what about the
Speaker 1: other two point four million cryptos that are out there,
Speaker 1: because those could be personalless. Also, well, bitcoin is the
Speaker 1: only one that's really energy backed. It's an energy back system. Now,
Speaker 1: remember what is the cost for AI agents to hire
Speaker 1: other AI agents the cost of their energy. So AI
Speaker 1: is going to understand this very well. They're going to
Speaker 1: understand that one is a decentralized system that nobody can control,
Speaker 1: nobody can censor, nobody can change, and there's a true
Speaker 1: cost of input and economic energy input into it. And
Speaker 1: they're going to demand having an economic energy input money
Speaker 1: as well. We can see that it's also instant, it's borderless.
Speaker 1: And really we have to understand history. We have to
Speaker 1: understand these technology cycles. You see me to use these
Speaker 1: charts before. Now, technology cycles they happen about every fifty years.
Speaker 1: I call them quantum waves, and they have these four
Speaker 1: distinct periods that happen. Each one of these cycles has
Speaker 1: its own unique attributes. In this cycle from twenty thirty
Speaker 1: to twenty forty, which we'll be going into in the
Speaker 1: next couple of years, is really what's called the adoption
Speaker 1: or the synergy phase. Remember I talked about the S
Speaker 1: curve before. You can see how the S curve sort
Speaker 1: of fits over this. See that this is the adoption wave.
Speaker 1: So this is where bitcoin really becomes as adopted as
Speaker 1: this medium of exchange. Remember, all things or money, I
Speaker 1: should say, is always an evolutionary process. So it starts
Speaker 1: as a collectible. It could evolve, not always, but sometimes
Speaker 1: evolves to a store value.
Speaker 2: This is where we're at right now.
Speaker 1: In this next phase, it becomes the medium of exchange.
Speaker 1: It's where it becomes that transaction layer, and it eventually
Speaker 1: becomes what we call a unit of account. Now, a
Speaker 1: lot of people would say, well, why aren't we using
Speaker 1: bitcoin for transactions? Now? Where can I go to the
Speaker 1: store and buy my groceries with it? Or why am
Speaker 1: I not buying coffee with it? All of these things,
Speaker 1: And it's well, I would say, you fail to understand history,
Speaker 1: and understand monetary history specifically. Now, of course, she has
Speaker 1: seto sheet. I did say that bitcoin is a peer
Speaker 1: to be electronic cash system, But as I just showed you,
Speaker 1: there's an evolutionary process to this that takes us and
Speaker 1: we have to go through EA stage one by one.
Speaker 1: And what I'd say is, if you don't understand history,
Speaker 1: you're bound to repeat it.
Speaker 2: There's something called Gresham's.
Speaker 1: Law, and the Gresham's law is that good money drives
Speaker 1: out bad and so what that means is that as
Speaker 1: long as there's bad money to use, I'll save the
Speaker 1: good money. So if you're like a gold bug, for example,
Speaker 1: you might know that up until in nineteen sixty five
Speaker 1: in the United States, quarters and dimes were made of
Speaker 1: real silver. Now you won't find a pre sixty five
Speaker 1: quarter of diamond circulation today. You just you never get them.
Speaker 1: Why is that because they've all been removed. Why is
Speaker 1: that because people want to save them. Now, if for
Speaker 1: some reason you just happened accidentally to get a pre
Speaker 1: sixty five quarter a dime, would you spend it? And
Speaker 1: the answer is of course no, you wouldn't. You'd be ridiculous.
Speaker 1: Today you're going to save it because you can easily
Speaker 1: spend the bad money and So that's exactly what we're
Speaker 1: talking about here with bitcoin. In this case, it's evolving.
Speaker 1: But as long as we can use FIAT, we're going
Speaker 1: to continue to use it.
Speaker 2: But the AI agents cannot.
Speaker 1: That's what pushes the use case of this, meaning exchange,
Speaker 1: when we can only use that instead of the other thing. Now, Also,
Speaker 1: if you're in a Afghanistan, you're in North Korea, maybe
Speaker 1: even you're in El Salvorey, you can't afford a bankccout.
Speaker 1: There are other reasons why you could use bitcoin today.
Speaker 1: But on a whole, when we're talking about mass adoption,
Speaker 1: I believe this is the catalyst. Okay, now this all
Speaker 1: sounds really scary, right. Your job's at risk, and I
Speaker 1: mean that literally, even if you're an entrepreneur, even if
Speaker 1: you're a doctor, high praise, high paid professional, you're probably
Speaker 1: still at risk. So what does this mean, Well, a
Speaker 1: couple things. Number One, we've got a couple of years.
Speaker 1: This is happening really really fast, but we probably have
Speaker 1: a couple of years. So what does that mean. Well,
Speaker 1: I believe over the next three four years we have
Speaker 1: this massive opportunity for investment to make a lot of money.
Speaker 1: So you have a couple of years to make it
Speaker 1: as much money as you can, because I don't know
Speaker 1: what the world looks like on the other side of that,
Speaker 1: all right, I don't know what the economy looks like
Speaker 1: when all these get disrupted. What history shows us is
Speaker 1: that when these new technologies come out, this creative disruption happens, happens,
Speaker 1: and it creates problems. Now, it's not forever. I'm not
Speaker 1: saying that there's no jobs for humans in the future.
Speaker 1: I don't believe that at all. I believe that AI
Speaker 1: is a tool and as humans, we just have to
Speaker 1: learn how to use the tool.
Speaker 2: But it can cause period of disruption.
Speaker 1: For example, in the Industrial Revolution, when everybody worked in
Speaker 1: the farm and then we had machines that could do
Speaker 1: the work of thousands of men. What did all those
Speaker 1: thousands of men do.
Speaker 2: Well, Temporarily they didn't do.
Speaker 1: Anything, but eventually went on to do higher value things
Speaker 1: like science and medicine. So there's this temporary disruption.
Speaker 2: But don't worry.
Speaker 1: There's no future that I can see in the world
Speaker 1: where humans no longer have problems. As long as there's problems,
Speaker 1: there's solutions, there are services, and there's products for those things.
Speaker 1: So we have a few years, so get your money
Speaker 1: right while you can. Number two, you want to stack
Speaker 1: your skills. So if you're that gig worker and you
Speaker 1: have a skill, that's great. You know how to do
Speaker 1: the research or the copywriting, you know how to do
Speaker 1: the bookkeeping, that's great. But if you have one skill,
Speaker 1: you'll be the first to be replaced. If you have
Speaker 1: multiple skills that are stacked up, you're going to be
Speaker 1: able to buy yourself some time. It's going to be
Speaker 1: a while before these agents get so far advanced, so
Speaker 1: really learn to stack your skills up on top of themselves.
Speaker 1: The one thing I don't think the AIA agents will
Speaker 1: be able to do is place our creativity. So stack
Speaker 1: ups many skills as you can, and learn how to
Speaker 1: apply them, create creatively to different solutions or as solutions
Speaker 1: to different problems. And then finally stack your SATs. Stack
Speaker 1: your skills, and stack your SATs. I'm talking about bitcoin
Speaker 1: of course in this example, so we know that bitcoin
Speaker 1: is only going up from here based off of this information.
Speaker 1: Of course, if you believe it, and so you might
Speaker 1: want to be stacking your SATs, and that's going to
Speaker 1: be the way that you'll be able to defend yourself
Speaker 1: against the technology that's happening. All right, hopefully that makes sense. Again,
Speaker 1: this is super exciting for me. I'm using this stuff
Speaker 1: in real life and it is making a massive impact
Speaker 1: in my business. And you can either use it or
Speaker 1: get left bind. Let me know which one you're gonna do.
Speaker 1: Use it or get left bind. Lead me a comment
Speaker 1: down below, let me know which one. Of course, give
Speaker 1: me thumbs up if you like the video. If you don't,
Speaker 1: you can give me thumbs down. That's okay, but at
Speaker 1: least tell me why in the comments. That's what I got,
Speaker 1: all right, see your success. I'm out.