March 5, 2025 • 34 mins
The most powerful workforce in human history is rising—and it doesn’t need you. It doesn’t sleep. It doesn’t eat. It doesn’t ask for a raise. And it’s coming for every job you thought was safe—doctors, lawyers, coders, and yes, even entrepreneurs. But here’s the terrifying part: losing your job is just the beginning. These AI agents aren’t just replacing workers—they’re about to reshape the entire global economy. They’ll hire each other, pay each other, and make decisions faster than any human can react. The systems we’ve trusted for centuries? They’re not built for this. They’re about to break. In this video, I’m going to show you how AI agents will trigger the biggest economic shift in human history… and reveal the one thing that’s perfectly positioned to survive the chaos and what we should be doing to position ourselves now!
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Speaker 1 (00:00):
The most powerful workforce in human history is rising, and
it doesn't need you. It doesn't sleep, it doesn't eat,
it doesn't ask for a raise, and it's coming for
every job you thought was safe. Yes, doctors, lawyers, coders,
and even entrepreneurs. But here's the really terrifying part. Losing
(00:20):
your job is just the beginning. These AI agents aren't
just replacing workers. They're about to reshape the entire global economy.
They'll hire each other, they'll pay each other, They'll make
decisions faster than any human can react. The systems we've
trusted for centuries they're not built for this. They're about
(00:40):
to break. So in this video, I'm going to show
you how AI agents will trigger the biggest economic shift
in human history and reveal the one thing that's perfectly
positioned to survive the chaos, and what we should be
doing to position ourselves now real quick. On mark loss
and as an investor, I've built and I've exited several
tech companies. I've been doing this through multiple boom and
(01:02):
bus markets. I've been a tech focus to venture capital
investor for over a decade. I'm a partner at a
leading bentcoin venture fund. I write the Quantum Wave Investment
Report where I help people navigate these big shifts in
tech and money. And these lessons are some of the
things that I'm looking at and hopefully you can use these.
So let's go all right, we are talking about something
(01:24):
super exciting for me. It's also super terrifying. Depends on
how you interpret information more importantly, what you're going to
do with it. Don't worry. At the end, I'm going
to leave you with some actionable takeaways so you can
make this exciting for you as well. Okay, so I'm
talking about the rise of AI agents. What yeah, agents.
Now this is happening super fast, so if you're not
(01:46):
paying attention, you might have missed what's going on. We
have AI right that kind of got brought to the forefront,
brought to consumers with Open AI back in November twenty
twenty two, and now it's changed the world. Now we
have something called AI agents. I'm going to break this
all down for you and see what so you can
understand what it is, but we can set the AI
agent market is absolutely exploding.
Speaker 2 (02:08):
Let me tell you what this is.
Speaker 1 (02:09):
So it's basically a way that I can create an
AI to be an autonomous agent on my behalf to
do a pre defined set of tasks. So for example,
I could create an AI agent to do my customer
service for me, or handle my sales calls for me,
or go research financial markets for me. So I give
it a set of parameters and I just let it
(02:29):
go and it works autonomously based off of that code.
This is what AI agents do. Now, these can do
complex things that stack on top of each other. But
I'm getting ahead of myself. I'll get back to that
in a minute. But again, this is happening super super fast,
like in the last six months fast. So we can
see here twenty twenty four there was barely any market.
By twenty thirty, they're expecting it to grow to forty
(02:53):
seven point one times. This is the market size in billions.
We're talking about it growing super fast, and all the
big people are in this of course, Google, IBM, Microsoft, Amazon,
you get it. Okay, Now, this is all happening really fast.
Now this is projected to grow even faster and faster
and faster. So you can see AI agents market right here,
(03:14):
and you can see we're right here twenty twenty five
right now, and this is what we.
Speaker 2 (03:19):
Call parabolic growth.
Speaker 1 (03:21):
We're at about five point twenty nine billion right now,
and they're expecting it to grow out of forty percent
compounded annual growth rate KEGAR until twenty thirty five to
about a value of two hundred and sixteen billion. I'm
guessing we're gonna overshoot that number, but you can still
see the type of growth that they're projecting. These AI
(03:41):
agents are coming for everything. So when I say coming
for everything, what are they coming for? Well? Everything, But
right now what we can see is that the type
of agent systems is we have like multiagent and single agent,
so singleated it's working together to become multi agents to
do multiple things. So for example, they could do all
the search and dumped them as, they could do niche
(04:02):
research for me. They could write articles for me. They
can create ads and then can go buy the ads
on Facebook marketplace, so they could string multiple agents together
to do this complex thing. The areas of application that
we're really seeing right now just in a last a
couple of months, but this is going to change customer service,
virtual assistance, healthcare. The type of roles that the agents
(04:22):
are being assigned to code generation, so they're writing code
at a super rapid rate. As a matter of fact,
another six months from now, coders, we're going to be
looking for new jobs, customer service, reps, marketing, some of
the things like I just sort of talked about, productivity
and personal assistance and sales. These are the types of
things that are under attack right now. Types of learning,
(04:43):
deep learning, machine learning, and the types of products is
build your own agents and ready to deploy agents. So
we're going to show you a couple of ways that
you can do this, where you can build your own
or you can go with companies that already have this.
But look, this is a ticking clock. This is all
happening right now. The world is changing right below our feet,
and I think it's exciting, but for people that are
(05:05):
listing those categories right there, it can be extremely terrifying.
Now we can see that AI implementation is a top priority,
the number one top priority across marketing and e commerce teams.
So for e comm it can do all the product research,
can get requests for quotes from all your vendors, it
can manage shipments, it could get your listings done, it
can handle the customer service on the what everything. So
(05:28):
it's a top priority for these companies. AI has proven
contribution to revenue and cost reduction, so it's a proven
contributor to revenue, bringing in more money and reducing costs
at the same time. Of course, businesses want that a
implementation is their number one priority eighty three percent. It's
a big number. Eighty two percent of sales teams with
(05:48):
AI saw revenue growth in the past year, so pretty
much everybody who tried it made more money. More people
want to do it versus sixty six percent of teams
without AI. I competition right, Seventy six percent of e
commerce teams with AI credit it with revenue growth. Seventy
six percent of people who used it made more money.
(06:10):
Ninety two percent of service teams with aisay it reduces
their costs, so saving money, making money. It's all the
same thing. If ninety two percent of the people are
getting at guess what everybody is going to want it,
and not just AI as in CHGPT, but AI agents.
Now we have all these companies jumping into this game
to build AI agents. This is Salesforce introduce an agent
(06:33):
Force two point zero, the digital labor platform for building
a what limitless workforce. So now Salesforce that's powered your
customer contact based your CRM. Now they want to give
you agents to replace all those people that work in
your company. Pretty cool, right, Well, it is if you're
a business owner. It's not so good if those are
your jobs being outsourced. But I have bad news for you.
(06:56):
Even if you're a business owner, you might still be
at risk. I'm going to break that down what we're
really seeing, though. You have to understand this. I talk
a lot about tech cycles, technology cycles, because when you
go back through thousands of years of history, it's always
technology that changes the world because it changes the way
that we work, the way that we organize, the way
that we communicate, and so then it changes the world.
And so what we've seen is technology changing the world.
(07:19):
And we saw the rise and the fall of the
knowledge industry. So what happened about two hundred and fifty
years ago was he had the Industrial Revolution. Now we
had people in the farms and the cottage industry, and
the Industrial Revolution represented the first time we had mechanized machines,
machines that can do the work with thousands of men.
And then we went on to do war machines. We
(07:39):
got steel, heavy equipment, electricity, automobiles, mass production. So we
had this Industrial age, and during the Industrial Age, especially
in America in the early nineteen hundreds to mid nineteen hundreds,
we became this industrial powerhouse. Our factories and our ingenuity
dominated the world. Of course, other countries industrialized as well.
(08:00):
Then something happened. We went from the Industrial age where
we had this massive middle class because we had this
assembly line, and everybody on the assymble line was pretty equal.
Very smart people and not so smart people were equal,
each putting their cog on a wheel. Now, a lot
of people would say that the reason why the middle
class is kind of gone today or shrunk at least,
(08:22):
is because those jobs have been outsourced to like China
for example. Now part of that is true, but I
would argue that it's because we went from the Industrial
age to the information age. You see, working in factories
and putting cogs on a wheel is not what it
used to be. And today we're on the information age.
So now we're building computer programs and software and microchips,
(08:44):
and we have people with laptops traveling the world making
money online. And now with AI we've gone from the
industrial age to the knowledge worker aged information age. And
then the Information age is, well, if you're smarter, if
you're more creative, if you work harder longer, you can
get ahead faster because you're not just putting.
Speaker 2 (09:03):
A coggon wheel eight to five.
Speaker 1 (09:05):
All right. Now, we can see that as we went
from the Industrial age to the Information age, society changed,
of course, because it changed the way that we work.
Instead of everybody being in the big communities and all
working together and all being on the union, now we
have digital nomads working on their laptops all around the world.
Speaker 2 (09:22):
So it changes societies.
Speaker 1 (09:24):
And what's happened part of that is because now if
I can be a knowledge worker, then I can have
specialty skill, and I can take that specialty skill and
I can.
Speaker 2 (09:33):
Apply it anywhere I want.
Speaker 1 (09:34):
So I could be a graphic designer, or a video editor,
or even a bookkeeper and I can provide those bookkeeping,
a graphic design, video editing services for multiple people at
the same time. And this created the gig economy. You
might have heard about it. This also includes Airbnb hosts
and Uber drivers and things like that. And the gig
economy has completely exploded under this information age. As a
(09:56):
matter of fact. You can see it from twenty twelve.
Basically non exist all the way till I mean, this
is only till twenty twenty one. Right now, it's like
way up here, but you can see the rise in
the growth of this now. One of the things that
this was amazing for was bringing workers from all over
the world into the global workforce. So I use a
website called upwork dot com. There's other ones like freelancer
(10:19):
dot com or fiver and basically any of these tasks
that you need done, these soft taskses, specialty skills, copywriting,
ghost writing, research, legal work, accounting, you name it. I
can go hire somebody from anywhere in the world to
do this job for me. And so what it did
is it brought what we call technical workers onto the workforce.
(10:40):
So maybe you're a coder from Islami's bad, or you're
an engineer from Pakistan, or you're a customer service rep
from the Philippines or your whatever. It brought all these
technical workers into the world and it created this giant
gig economy. Of course, it's not just all over the world.
It's in the United States as well. Data shows to
the global gig economy now counts for twelve percent of
(11:03):
the global market hasn't taken it over yet, but we're
since twenty twelve, right, this's happening really fast. More than
one third of the US workforce is now engaged in
some form of gig work, and they project that to
be half by twenty twenty five. That's this year, half
of the workforce in the United States will be working
(11:23):
on some type of gig Forty percent of organizations, one
in four workers on the payroll is a gig worker.
Twenty five percent of companies payrolls are for gig workers. Now,
I want to just reiterate the point one time. What
is a gig worker.
Speaker 2 (11:39):
They they're like a trade.
Speaker 1 (11:40):
They apply expertise. They have a skill, video editing, graphic design, copyrighting, research,
they have a skill and they can apply to different people.
Speaker 2 (11:50):
That's their applied expertise.
Speaker 1 (11:51):
Like I said, about half the workers there. Now we
can see why this is continuing to grow when you
break it down by age group. So we have baby
boomers right here, only nine percent of them are are
gig workers. Gen X twenty seven percent. But right here
we have the millennials forty five percent. So, of course,
as we start getting to these younger generations, we'll have
(12:13):
more and more people working in gigwork. So it's both
a technology thing, it's a societal thing, and it's an
age thing.
Speaker 2 (12:20):
But here's the key.
Speaker 1 (12:22):
The key is that these are people with trades, with
specialty skills that they can apply, and those skills are
under threat because it's those specialty skills that are going
to be the first to be outsourced. Let me explain
this to you. When I hire somebody on fiver or
upwork to do a task for me, they're an autonomous agent.
I'm hiring this person on fiver or upwork to go
(12:45):
do search engine optimization for me. So they're going to
take my article, they're going to go research it, they're
going to come up with the best keywords, they're going
to rewrite the article, they're going to get it posted,
they're going to get the backlinks and all of those things. Well,
that's an autonomous person that's doing all of those functions.
But today I can have an AI agent build to
do that. I can hire customer service people from the
(13:06):
Philippines that can reply to my emails or take my
phone calls. But now they're an agent. They're an autonomous
person that's doing this based off of scripts up provided.
But I can also just train an AI agent to
do the same thing. So the very first people that
are going to be disrupted are the typical agents, the
gig workers. They're agents, and they're going to be replaced
(13:27):
with AI agents. Now, for if you have to drive
a ubercar, you might be a little bit more safe,
except unless if you've seen like Waymow driving around. These
are autonomous taxis as well. Okay, And what we're really
witnessing is something much bigger than that. Because as big
as that is, to replace all those agents all across
(13:48):
the world, researchers and writers and copywriters and video editors,
replace all those agents with AI agents, it's even something bigger.
If you're an entrepreneur, watch out. What we're really witnessing
is the collapse of scarcity.
Speaker 2 (14:02):
What do I mean by that?
Speaker 1 (14:03):
So all value is derived from scarcity and utility, and
so when you have scarcity, it increases the value most times.
So for example, if I'm a doctor, if I'm an attorney,
if I'm a coder, I have.
Speaker 2 (14:17):
Information or knowledge that most people just don't have.
Speaker 1 (14:19):
I went to school for five years or ten years
to learn this information. I went to school to learn coding,
so I have scarce information most people don't have, and
I'm paid a premium for that. But what happens when
knowledge is infinite and it's free, does it lose value?
So what we see is that back in the day,
(14:39):
the information was the moat. That's why the attorneys and
the doctor are able to charge that. But when an
AI has way more data information than any attorney or
any doctor, or can write code faster than any coder,
then what happens to that specialty knowledge the collapse of scarcity.
So we can take a couple examples from his So
(15:00):
here's a picture of when.
Speaker 2 (15:03):
Scarcity changed.
Speaker 1 (15:05):
When we went from transportation being done by horses nineteen
hundred to transportation being done by cars nineteen thirteen. This
is the same street, only thirteen years difference. But you
don't see a single horse in this picture, nor do
you see a single car in that picture. Now we
can see how quickly this changed, and we can see
(15:28):
here that horses fell off of a cliff while automobiles
went up in really rapid time. Now we use something
to might recognize this. I talk about it quite often
in technology.
Speaker 2 (15:39):
We call it an s curve.
Speaker 1 (15:41):
The time it takes to get to ten percent adoption
is about the same time it takes to get to
about eighty or ninety percent adoption. So we can see
how quickly this happening. Now this time were the horses.
This time, humans are being replaced with ais that can
write the code, that can drive the and do more.
(16:01):
As a matter of fact, let me just show you
how well some of this technology works to replacing programmers.
For example, let's watch this short video.
Speaker 3 (16:10):
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(16:35):
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Made an awesome app, share it with a friend, have
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Speaker 1 (16:52):
Okay, so what you just watched was a company called replet.
You can just go there and you can literally speak
into it or type a description of something that you
want and it can just build the app. So for example,
I could just say, hey, I'd like a financial management
app or I'd like a stock screen and app, and
it can just like literally build it for me. And
I was like, well, I don't really like it to
do that. I'd like to add these features, and then
(17:12):
it just adds those features like from verbal text. Anybody
now could create an app and they're doing.
Speaker 2 (17:18):
It on replet.
Speaker 1 (17:20):
Now what does this mean. What it means is that
every mote is destroyed.
Speaker 2 (17:24):
AI has destroyed it. So think about this.
Speaker 1 (17:27):
So in a future not too far away, like a
year from now, I could literally have an AI agent
that I could say, go out and find the top
ten online businesses and come back with a full report.
And it's like okay, like drop shipping is really good,
and e commerce is really good, and Airbnb is really good,
and it gives me these reports and I'm like cool,
(17:47):
just go copy and beat all of them. And that
AI agent can now go hire other A agents to
do the research and do the copywriting and do the
video editing and come up with the graphics because now
it can make images by itself, and it could do
the listings, and it can list the things and it
can run the ads. They can do all that in
a blink of an eye. What happens to every business
(18:09):
that we know in the world today, Everyone just gets
completely disrupted and upended on a daily basis, over and
over and over. What happens to the economy. We're talking
about an economic domino effect that we just can't even
quite comprehend. In the grand narrative of technological evolution, we
are transitioning from the age of information. That's where we work,
(18:30):
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(19:28):
of intelligence. I love that, not just information. Everyone has information.
Now now we're going to the age of intelligence and
who has that. It's going to reshape society, revolutionize industries,
and change the nature of work. So technology always does.
It's a transformative shift. Promising advancements in healthcare, education, productivity
(19:51):
sounds great, there's always trade offs.
Speaker 2 (19:54):
The downside is.
Speaker 1 (19:55):
There's concerns of a large scale job loss, mental health repercussion,
and risk to social stability. So the whole world is
gonna change, and it's going to change rapidly. Again, we're
talking about months to years here. We're not talking about
decades at this point any longer, because it's here. Now. Look,
i'm gonna show you what we're gonna do about this. Listen,
it's not a doomingoand video. I'm excited. You can probably tell,
(20:17):
so hopefully I can get you excited as well. Now,
what we're seeing already and then we're going to continue
to see rapidly is the rise of these autonomous economies
autonomous economies. So this is again, if you go to Phoenix, Arizona,
you have these way more taxis driving all over the place.
And imagine that taxi is autonomous and it can just
(20:38):
drive itself, and it could make money on its own,
and it can go get its own service and all
these things. And so what we're seeing is autonomous economies
where now we have AI agents that can go hire
other AI agents. Again, so I task my agent to
go duplicate this e comm drop shipping site, for example,
and it hires other agents to build the website, another
agent to run the Facebook. It's another agent to go
(21:01):
get the quotes from China, another agent to manage the
logistics in the shipping, another agent, and you get the idea.
So I could get one agent that goes and hires
the other agents. That's the autonomous economy. Then the agents
have to pay the other agents for the services. So
now my agent needs the ability to have money and
(21:22):
be able to make payments to other agents for the services,
and they're paying other agents. When machines run economies, what
happens to traditional currencies, banks and even governments. Now, again,
this is not some far off thing as a matter
of fact, it's happening right now today. Let me show
you exactly what I'm talking about. This is a long video.
I'm not going to actually show you the video clip
(21:43):
of it. We can put it in the show notes
down below if you want to watch it. But what
we have right here is a Replet ai agent. It's
what I showed you earlier, so you can use replet
to build yourself an AI agent. So Replet ai agent
went out and searched and found a domain name. They
found a domain name that fit the criteria the experts,
and it bought it and paid for it all on
(22:03):
its own. It purchases a domain name using bitcoin over
the Lightning network. Bitcoin will be the currency of AI.
So this guy has this video where he shows how
he built it, shows the whole transaction. You can watch
the video go down from the researching to the domain name,
to the whole thing, to buying it, taking ownership, and
then the AI could the agent continue to build up
the website and everything. So it literally is not it's
(22:25):
literally happening right now. This is not a future thing.
This is right now, this is today. Now, what are
we expecting from this? We're expecting big things. The market
size of transactions among AI agents is expected to be
one hundred times larger than human transactions. Why would it
be one hundred times larger. Well, because every individual will
(22:47):
probably have ten or more AI agents. I'll probably have
like one hundred, how many will you have? Now, the
transaction frequency among A agents is going to be ten
times greater than that among humans. So these aia is
going to be working really really fast. So not only
will I have ten of them or twenty or fifty
or one hundred of them, they might be doing ten
and fifty one hundred transactions a day each. So we're
(23:09):
talking about something really really massive. I mean, this is
all again, this is happening right now. But here's the problem.
How much does this cost? If I have an AI agent? Right,
if I want to hire a customer service person in
the Philippines, I might pay them six to eight bucks
an hour. If I want to hire a coder in Pakistan,
(23:30):
I might pay them nine to fourteen dollars an hour. Right.
If I want to hire a legal researcher in Europe
and Eastern Europe, maybe I pay them fifteen to twenty
five bucks an hour. But how much does it cost
for me to have an AI agent hire another AI agent.
Will they charge more based off of their expertise? How
much will they charge, Well, they're going to be charging
(23:52):
the cost will to cover their costs? Well, what are
the costs? Well, I guess one to program the agent.
Number two, it's the cost of the power, their electricity
and the compute the CPU, the GPU compute energy will
be the costs they're going to have to pay. But
here's the problem. Our traditional financial system that we have
(24:12):
today is not set up to do this. It will
not work for what these are doing. And it's not
a future thing. This is right now today. As I
just showed you, an AI agent just went and bought
a domain with bitcoin lightning right now. But it can't
work with the traditional financial system because the traditional financial
system has way well it's just too archaic closer you
say that, way too much friction. So, for example, the
(24:34):
current FIAT and KYC, which is know your customer systems
are designed for humans inherently excluding AI agents. So in
order to get a bank account, a debit card, a
credit card, a Venmo account, you have to be a
human and you have to pass KYC and AML regulations.
It's set up specifically to not allow agents to have that. However,
(24:56):
the stringent KYC, the Know Your Customer requirements, and FIAT
system inherently exclude AI agent's So AI agents can't work
in the traditional financial system, but it's here. They're change
in the world. There's no stopping it. So then what happens,
Like I said, there's so much friction? What kind of friction? Well,
(25:16):
we can see here financial service is built on the
assumption that there's an accountable, legally recognized human or at
least a corporate entity behind every transaction. Who's liable? Right
as an AI agent operates independently, it doesn't easily fit
into these frameworks, making compliance both technically challenging and legally uncertain.
(25:38):
Who are we going to sue? Who's liable? A solution
that sidesteps the limitations of traditional finance while addressing security
is of course bitcoin, so we can sidestep this. Now,
there's a couple of things that we can think about here.
Why not credit cards? Mark Well, the credit card system
simply isn't built for machine to machine payments, is riddled
(26:00):
with inefficiencies, high transaction fees, and privacy compliance issues. It's
unsuitable for autonomous agents. You may not know this, but
it's pretty much impossible to send somebody somewhere else in
the world like thirty five cents. Transactions cost more than that. Now,
what happens when these AI agents are making these micro transactions,
(26:21):
When they're doing so one hundred times a day or
one thousand times a day, that fifty dollars one hundred
dollars could get eaten up in fees with one hundred
or a thousand transactions back and forth. It's unsuitable. There's
no compliance, there's no liability or legality there. Furthermore, blockchain
transparency and immutability. The immutability of the blockchain meaning once
(26:44):
I make the transaction, I can't be charged back, offer
a unique advantage. Every transaction executed by the AI is
recorded on chain, so now we have a transparent layer.
Then we can see all the transactions that are happening.
This makes crypto wile it's a suitable infrastructure for autonomous
agents in the finance world, meaning it's the only way.
(27:04):
You have to understand that as technology changes, it doesn't stop.
It doesn't wait for things to change. Technology is what
changes things. Back in the gunpowder Revolution in the fifteen hundreds.
All of a sudden it changed the balance of power.
Were one person one surf with a gun could take
out one hundred nights. And when the gunpowder Revolution starts
(27:27):
sweeping across the world, it wasn't like a nice to have.
It wasn't like, well maybe i'll have guns or I won't.
It was like you better have it. It's what changed
the world. It didn't wait for things. And the AI
agents are here. They're changing things in the system that
we have now won't work and this is all inevitable,
all right now, The real catalyst of all of this
is bitcoin plus AI. You see, when technology advances the world,
(27:50):
it's not about a single technology, it's about multiple things
coming together to give us a new set of building
blocks to build things that we've never imagined. So, for example,
it wasn't just the automobile. If we had the automod bile,
we had no oil and oil fuels, we couldn't drive it.
If we didn't have mass production, we couldn't make them.
So we have to get these clusters of technology that
come together. So really the catalyst is how bitcoin and
(28:11):
AI come together. Now you might be asking yourself, Mark,
why Bitcoin? Why Bitcoin? Well, first of all, it's not
only borderless and censors resistant and immutable, permissionless, it's also personless. Right,
so again you can't get a bank account or Venmo
account without being a person. But bitcoin is personless. The
(28:35):
other reason, well, you might say, but what about the
other two point four million cryptos that are out there,
because those could be personalless. Also, well, bitcoin is the
only one that's really energy backed. It's an energy back system. Now,
remember what is the cost for AI agents to hire
other AI agents the cost of their energy. So AI
is going to understand this very well. They're going to
(28:56):
understand that one is a decentralized system that nobody can control,
nobody can censor, nobody can change, and there's a true
cost of input and economic energy input into it. And
they're going to demand having an economic energy input money
as well. We can see that it's also instant, it's borderless.
And really we have to understand history. We have to
(29:16):
understand these technology cycles. You see me to use these
charts before. Now, technology cycles they happen about every fifty years.
I call them quantum waves, and they have these four
distinct periods that happen. Each one of these cycles has
its own unique attributes. In this cycle from twenty thirty
to twenty forty, which we'll be going into in the
(29:37):
next couple of years, is really what's called the adoption
or the synergy phase. Remember I talked about the S
curve before. You can see how the S curve sort
of fits over this. See that this is the adoption wave.
So this is where bitcoin really becomes as adopted as
this medium of exchange. Remember, all things or money, I
(29:57):
should say, is always an evolutionary process. So it starts
as a collectible. It could evolve, not always, but sometimes
evolves to a store value.
Speaker 2 (30:06):
This is where we're at right now.
Speaker 1 (30:08):
In this next phase, it becomes the medium of exchange.
It's where it becomes that transaction layer, and it eventually
becomes what we call a unit of account. Now, a
lot of people would say, well, why aren't we using
bitcoin for transactions? Now? Where can I go to the
store and buy my groceries with it? Or why am
I not buying coffee with it? All of these things,
And it's well, I would say, you fail to understand history,
(30:30):
and understand monetary history specifically. Now, of course, she has
seto sheet. I did say that bitcoin is a peer
to be electronic cash system, But as I just showed you,
there's an evolutionary process to this that takes us and
we have to go through EA stage one by one.
And what I'd say is, if you don't understand history,
you're bound to repeat it.
Speaker 2 (30:47):
There's something called Gresham's.
Speaker 1 (30:48):
Law, and the Gresham's law is that good money drives
out bad and so what that means is that as
long as there's bad money to use, I'll save the
good money. So if you're like a gold bug, for example,
you might know that up until in nineteen sixty five
in the United States, quarters and dimes were made of
real silver. Now you won't find a pre sixty five
(31:09):
quarter of diamond circulation today. You just you never get them.
Why is that because they've all been removed. Why is
that because people want to save them. Now, if for
some reason you just happened accidentally to get a pre
sixty five quarter a dime, would you spend it? And
the answer is of course no, you wouldn't. You'd be ridiculous.
Today you're going to save it because you can easily
spend the bad money and So that's exactly what we're
(31:30):
talking about here with bitcoin. In this case, it's evolving.
But as long as we can use FIAT, we're going
to continue to use it.
Speaker 2 (31:36):
But the AI agents cannot.
Speaker 1 (31:39):
That's what pushes the use case of this, meaning exchange,
when we can only use that instead of the other thing. Now, Also,
if you're in a Afghanistan, you're in North Korea, maybe
even you're in El Salvorey, you can't afford a bankccout.
There are other reasons why you could use bitcoin today.
But on a whole, when we're talking about mass adoption,
I believe this is the catalyst. Okay, now this all
(32:00):
sounds really scary, right. Your job's at risk, and I
mean that literally, even if you're an entrepreneur, even if
you're a doctor, high praise, high paid professional, you're probably
still at risk. So what does this mean, Well, a
couple things. Number One, we've got a couple of years.
This is happening really really fast, but we probably have
(32:21):
a couple of years. So what does that mean. Well,
I believe over the next three four years we have
this massive opportunity for investment to make a lot of money.
So you have a couple of years to make it
as much money as you can, because I don't know
what the world looks like on the other side of that,
all right, I don't know what the economy looks like
when all these get disrupted. What history shows us is
that when these new technologies come out, this creative disruption happens, happens,
(32:46):
and it creates problems. Now, it's not forever. I'm not
saying that there's no jobs for humans in the future.
I don't believe that at all. I believe that AI
is a tool and as humans, we just have to
learn how to use the tool.
Speaker 2 (32:57):
But it can cause period of disruption.
Speaker 1 (33:01):
For example, in the Industrial Revolution, when everybody worked in
the farm and then we had machines that could do
the work of thousands of men. What did all those
thousands of men do.
Speaker 2 (33:08):
Well, Temporarily they didn't do.
Speaker 1 (33:09):
Anything, but eventually went on to do higher value things
like science and medicine. So there's this temporary disruption.
Speaker 2 (33:16):
But don't worry.
Speaker 1 (33:17):
There's no future that I can see in the world
where humans no longer have problems. As long as there's problems,
there's solutions, there are services, and there's products for those things.
So we have a few years, so get your money
right while you can. Number two, you want to stack
your skills. So if you're that gig worker and you
have a skill, that's great. You know how to do
(33:38):
the research or the copywriting, you know how to do
the bookkeeping, that's great. But if you have one skill,
you'll be the first to be replaced. If you have
multiple skills that are stacked up, you're going to be
able to buy yourself some time. It's going to be
a while before these agents get so far advanced, so
really learn to stack your skills up on top of themselves.
The one thing I don't think the AIA agents will
(33:59):
be able to do is place our creativity. So stack
ups many skills as you can, and learn how to
apply them, create creatively to different solutions or as solutions
to different problems. And then finally stack your SATs. Stack
your skills, and stack your SATs. I'm talking about bitcoin
of course in this example, so we know that bitcoin
is only going up from here based off of this information.
(34:19):
Of course, if you believe it, and so you might
want to be stacking your SATs, and that's going to
be the way that you'll be able to defend yourself
against the technology that's happening. All right, hopefully that makes sense. Again,
this is super exciting for me. I'm using this stuff
in real life and it is making a massive impact
in my business. And you can either use it or
get left bind. Let me know which one you're gonna do.
Use it or get left bind. Lead me a comment
(34:40):
down below, let me know which one. Of course, give
me thumbs up if you like the video. If you don't,
you can give me thumbs down. That's okay, but at
least tell me why in the comments. That's what I got,
all right, see your success. I'm out.
The most powerful workforce in human history is rising, and
it doesn't need you. It doesn't sleep, it doesn't eat,
it doesn't ask for a raise, and it's coming for
every job you thought was safe. Yes, doctors, lawyers, coders,
and even entrepreneurs. But here's the really terrifying part. Losing
(00:20):
your job is just the beginning. These AI agents aren't
just replacing workers. They're about to reshape the entire global economy.
They'll hire each other, they'll pay each other, They'll make
decisions faster than any human can react. The systems we've
trusted for centuries they're not built for this. They're about
(00:40):
to break. So in this video, I'm going to show
you how AI agents will trigger the biggest economic shift
in human history and reveal the one thing that's perfectly
positioned to survive the chaos, and what we should be
doing to position ourselves now real quick. On mark loss
and as an investor, I've built and I've exited several
tech companies. I've been doing this through multiple boom and
(01:02):
bus markets. I've been a tech focus to venture capital
investor for over a decade. I'm a partner at a
leading bentcoin venture fund. I write the Quantum Wave Investment
Report where I help people navigate these big shifts in
tech and money. And these lessons are some of the
things that I'm looking at and hopefully you can use these.
So let's go all right, we are talking about something
(01:24):
super exciting for me. It's also super terrifying. Depends on
how you interpret information more importantly, what you're going to
do with it. Don't worry. At the end, I'm going
to leave you with some actionable takeaways so you can
make this exciting for you as well. Okay, so I'm
talking about the rise of AI agents. What yeah, agents.
Now this is happening super fast, so if you're not
(01:46):
paying attention, you might have missed what's going on. We
have AI right that kind of got brought to the forefront,
brought to consumers with Open AI back in November twenty
twenty two, and now it's changed the world. Now we
have something called AI agents. I'm going to break this
all down for you and see what so you can
understand what it is, but we can set the AI
agent market is absolutely exploding.
Speaker 2 (02:08):
Let me tell you what this is.
Speaker 1 (02:09):
So it's basically a way that I can create an
AI to be an autonomous agent on my behalf to
do a pre defined set of tasks. So for example,
I could create an AI agent to do my customer
service for me, or handle my sales calls for me,
or go research financial markets for me. So I give
it a set of parameters and I just let it
(02:29):
go and it works autonomously based off of that code.
This is what AI agents do. Now, these can do
complex things that stack on top of each other. But
I'm getting ahead of myself. I'll get back to that
in a minute. But again, this is happening super super fast,
like in the last six months fast. So we can
see here twenty twenty four there was barely any market.
By twenty thirty, they're expecting it to grow to forty
(02:53):
seven point one times. This is the market size in billions.
We're talking about it growing super fast, and all the
big people are in this of course, Google, IBM, Microsoft, Amazon,
you get it. Okay, Now, this is all happening really fast.
Now this is projected to grow even faster and faster
and faster. So you can see AI agents market right here,
(03:14):
and you can see we're right here twenty twenty five
right now, and this is what we.
Speaker 2 (03:19):
Call parabolic growth.
Speaker 1 (03:21):
We're at about five point twenty nine billion right now,
and they're expecting it to grow out of forty percent
compounded annual growth rate KEGAR until twenty thirty five to
about a value of two hundred and sixteen billion. I'm
guessing we're gonna overshoot that number, but you can still
see the type of growth that they're projecting. These AI
(03:41):
agents are coming for everything. So when I say coming
for everything, what are they coming for? Well? Everything, But
right now what we can see is that the type
of agent systems is we have like multiagent and single agent,
so singleated it's working together to become multi agents to
do multiple things. So for example, they could do all
the search and dumped them as, they could do niche
(04:02):
research for me. They could write articles for me. They
can create ads and then can go buy the ads
on Facebook marketplace, so they could string multiple agents together
to do this complex thing. The areas of application that
we're really seeing right now just in a last a
couple of months, but this is going to change customer service,
virtual assistance, healthcare. The type of roles that the agents
(04:22):
are being assigned to code generation, so they're writing code
at a super rapid rate. As a matter of fact,
another six months from now, coders, we're going to be
looking for new jobs, customer service, reps, marketing, some of
the things like I just sort of talked about, productivity
and personal assistance and sales. These are the types of
things that are under attack right now. Types of learning,
(04:43):
deep learning, machine learning, and the types of products is
build your own agents and ready to deploy agents. So
we're going to show you a couple of ways that
you can do this, where you can build your own
or you can go with companies that already have this.
But look, this is a ticking clock. This is all
happening right now. The world is changing right below our feet,
and I think it's exciting, but for people that are
(05:05):
listing those categories right there, it can be extremely terrifying.
Now we can see that AI implementation is a top priority,
the number one top priority across marketing and e commerce teams.
So for e comm it can do all the product research,
can get requests for quotes from all your vendors, it
can manage shipments, it could get your listings done, it
can handle the customer service on the what everything. So
(05:28):
it's a top priority for these companies. AI has proven
contribution to revenue and cost reduction, so it's a proven
contributor to revenue, bringing in more money and reducing costs
at the same time. Of course, businesses want that a
implementation is their number one priority eighty three percent. It's
a big number. Eighty two percent of sales teams with
(05:48):
AI saw revenue growth in the past year, so pretty
much everybody who tried it made more money. More people
want to do it versus sixty six percent of teams
without AI. I competition right, Seventy six percent of e
commerce teams with AI credit it with revenue growth. Seventy
six percent of people who used it made more money.
(06:10):
Ninety two percent of service teams with aisay it reduces
their costs, so saving money, making money. It's all the
same thing. If ninety two percent of the people are
getting at guess what everybody is going to want it,
and not just AI as in CHGPT, but AI agents.
Now we have all these companies jumping into this game
to build AI agents. This is Salesforce introduce an agent
(06:33):
Force two point zero, the digital labor platform for building
a what limitless workforce. So now Salesforce that's powered your
customer contact based your CRM. Now they want to give
you agents to replace all those people that work in
your company. Pretty cool, right, Well, it is if you're
a business owner. It's not so good if those are
your jobs being outsourced. But I have bad news for you.
(06:56):
Even if you're a business owner, you might still be
at risk. I'm going to break that down what we're
really seeing, though. You have to understand this. I talk
a lot about tech cycles, technology cycles, because when you
go back through thousands of years of history, it's always
technology that changes the world because it changes the way
that we work, the way that we organize, the way
that we communicate, and so then it changes the world.
And so what we've seen is technology changing the world.
(07:19):
And we saw the rise and the fall of the
knowledge industry. So what happened about two hundred and fifty
years ago was he had the Industrial Revolution. Now we
had people in the farms and the cottage industry, and
the Industrial Revolution represented the first time we had mechanized machines,
machines that can do the work with thousands of men.
And then we went on to do war machines. We
(07:39):
got steel, heavy equipment, electricity, automobiles, mass production. So we
had this Industrial age, and during the Industrial Age, especially
in America in the early nineteen hundreds to mid nineteen hundreds,
we became this industrial powerhouse. Our factories and our ingenuity
dominated the world. Of course, other countries industrialized as well.
(08:00):
Then something happened. We went from the Industrial age where
we had this massive middle class because we had this
assembly line, and everybody on the assymble line was pretty equal.
Very smart people and not so smart people were equal,
each putting their cog on a wheel. Now, a lot
of people would say that the reason why the middle
class is kind of gone today or shrunk at least,
(08:22):
is because those jobs have been outsourced to like China
for example. Now part of that is true, but I
would argue that it's because we went from the Industrial
age to the information age. You see, working in factories
and putting cogs on a wheel is not what it
used to be. And today we're on the information age.
So now we're building computer programs and software and microchips,
(08:44):
and we have people with laptops traveling the world making
money online. And now with AI we've gone from the
industrial age to the knowledge worker aged information age. And
then the Information age is, well, if you're smarter, if
you're more creative, if you work harder longer, you can
get ahead faster because you're not just putting.
Speaker 2 (09:03):
A coggon wheel eight to five.
Speaker 1 (09:05):
All right. Now, we can see that as we went
from the Industrial age to the Information age, society changed,
of course, because it changed the way that we work.
Instead of everybody being in the big communities and all
working together and all being on the union, now we
have digital nomads working on their laptops all around the world.
Speaker 2 (09:22):
So it changes societies.
Speaker 1 (09:24):
And what's happened part of that is because now if
I can be a knowledge worker, then I can have
specialty skill, and I can take that specialty skill and
I can.
Speaker 2 (09:33):
Apply it anywhere I want.
Speaker 1 (09:34):
So I could be a graphic designer, or a video editor,
or even a bookkeeper and I can provide those bookkeeping,
a graphic design, video editing services for multiple people at
the same time. And this created the gig economy. You
might have heard about it. This also includes Airbnb hosts
and Uber drivers and things like that. And the gig
economy has completely exploded under this information age. As a
(09:56):
matter of fact. You can see it from twenty twelve.
Basically non exist all the way till I mean, this
is only till twenty twenty one. Right now, it's like
way up here, but you can see the rise in
the growth of this now. One of the things that
this was amazing for was bringing workers from all over
the world into the global workforce. So I use a
website called upwork dot com. There's other ones like freelancer
(10:19):
dot com or fiver and basically any of these tasks
that you need done, these soft taskses, specialty skills, copywriting,
ghost writing, research, legal work, accounting, you name it. I
can go hire somebody from anywhere in the world to
do this job for me. And so what it did
is it brought what we call technical workers onto the workforce.
(10:40):
So maybe you're a coder from Islami's bad, or you're
an engineer from Pakistan, or you're a customer service rep
from the Philippines or your whatever. It brought all these
technical workers into the world and it created this giant
gig economy. Of course, it's not just all over the world.
It's in the United States as well. Data shows to
the global gig economy now counts for twelve percent of
(11:03):
the global market hasn't taken it over yet, but we're
since twenty twelve, right, this's happening really fast. More than
one third of the US workforce is now engaged in
some form of gig work, and they project that to
be half by twenty twenty five. That's this year, half
of the workforce in the United States will be working
(11:23):
on some type of gig Forty percent of organizations, one
in four workers on the payroll is a gig worker.
Twenty five percent of companies payrolls are for gig workers. Now,
I want to just reiterate the point one time. What
is a gig worker.
Speaker 2 (11:39):
They they're like a trade.
Speaker 1 (11:40):
They apply expertise. They have a skill, video editing, graphic design, copyrighting, research,
they have a skill and they can apply to different people.
Speaker 2 (11:50):
That's their applied expertise.
Speaker 1 (11:51):
Like I said, about half the workers there. Now we
can see why this is continuing to grow when you
break it down by age group. So we have baby
boomers right here, only nine percent of them are are
gig workers. Gen X twenty seven percent. But right here
we have the millennials forty five percent. So, of course,
as we start getting to these younger generations, we'll have
(12:13):
more and more people working in gigwork. So it's both
a technology thing, it's a societal thing, and it's an
age thing.
Speaker 2 (12:20):
But here's the key.
Speaker 1 (12:22):
The key is that these are people with trades, with
specialty skills that they can apply, and those skills are
under threat because it's those specialty skills that are going
to be the first to be outsourced. Let me explain
this to you. When I hire somebody on fiver or
upwork to do a task for me, they're an autonomous agent.
I'm hiring this person on fiver or upwork to go
(12:45):
do search engine optimization for me. So they're going to
take my article, they're going to go research it, they're
going to come up with the best keywords, they're going
to rewrite the article, they're going to get it posted,
they're going to get the backlinks and all of those things. Well,
that's an autonomous person that's doing all of those functions.
But today I can have an AI agent build to
do that. I can hire customer service people from the
(13:06):
Philippines that can reply to my emails or take my
phone calls. But now they're an agent. They're an autonomous
person that's doing this based off of scripts up provided.
But I can also just train an AI agent to
do the same thing. So the very first people that
are going to be disrupted are the typical agents, the
gig workers. They're agents, and they're going to be replaced
(13:27):
with AI agents. Now, for if you have to drive
a ubercar, you might be a little bit more safe,
except unless if you've seen like Waymow driving around. These
are autonomous taxis as well. Okay, And what we're really
witnessing is something much bigger than that. Because as big
as that is, to replace all those agents all across
(13:48):
the world, researchers and writers and copywriters and video editors,
replace all those agents with AI agents, it's even something bigger.
If you're an entrepreneur, watch out. What we're really witnessing
is the collapse of scarcity.
Speaker 2 (14:02):
What do I mean by that?
Speaker 1 (14:03):
So all value is derived from scarcity and utility, and
so when you have scarcity, it increases the value most times.
So for example, if I'm a doctor, if I'm an attorney,
if I'm a coder, I have.
Speaker 2 (14:17):
Information or knowledge that most people just don't have.
Speaker 1 (14:19):
I went to school for five years or ten years
to learn this information. I went to school to learn coding,
so I have scarce information most people don't have, and
I'm paid a premium for that. But what happens when
knowledge is infinite and it's free, does it lose value?
So what we see is that back in the day,
(14:39):
the information was the moat. That's why the attorneys and
the doctor are able to charge that. But when an
AI has way more data information than any attorney or
any doctor, or can write code faster than any coder,
then what happens to that specialty knowledge the collapse of scarcity.
So we can take a couple examples from his So
(15:00):
here's a picture of when.
Speaker 2 (15:03):
Scarcity changed.
Speaker 1 (15:05):
When we went from transportation being done by horses nineteen
hundred to transportation being done by cars nineteen thirteen. This
is the same street, only thirteen years difference. But you
don't see a single horse in this picture, nor do
you see a single car in that picture. Now we
can see how quickly this changed, and we can see
(15:28):
here that horses fell off of a cliff while automobiles
went up in really rapid time. Now we use something
to might recognize this. I talk about it quite often
in technology.
Speaker 2 (15:39):
We call it an s curve.
Speaker 1 (15:41):
The time it takes to get to ten percent adoption
is about the same time it takes to get to
about eighty or ninety percent adoption. So we can see
how quickly this happening. Now this time were the horses.
This time, humans are being replaced with ais that can
write the code, that can drive the and do more.
(16:01):
As a matter of fact, let me just show you
how well some of this technology works to replacing programmers.
For example, let's watch this short video.
Speaker 3 (16:10):
You always wondered why that app didn't exist. Now you
can make it. Meet replet agent. Want a custom workout plan,
Make an app for that. Have a great idea at
two am, Make an app for that. Need to run
an analysis or learn with your kids. Make an app
for that too. This isn't just making apps. This is
(16:35):
your imagination unleashed. Describe what you want and watch it
come to life, no coding experience, right from your phone.
Made an awesome app, share it with a friend, have
a business idea, start in minutes.
Speaker 1 (16:52):
Okay, so what you just watched was a company called replet.
You can just go there and you can literally speak
into it or type a description of something that you
want and it can just build the app. So for example,
I could just say, hey, I'd like a financial management
app or I'd like a stock screen and app, and
it can just like literally build it for me. And
I was like, well, I don't really like it to
do that. I'd like to add these features, and then
(17:12):
it just adds those features like from verbal text. Anybody
now could create an app and they're doing.
Speaker 2 (17:18):
It on replet.
Speaker 1 (17:20):
Now what does this mean. What it means is that
every mote is destroyed.
Speaker 2 (17:24):
AI has destroyed it. So think about this.
Speaker 1 (17:27):
So in a future not too far away, like a
year from now, I could literally have an AI agent
that I could say, go out and find the top
ten online businesses and come back with a full report.
And it's like okay, like drop shipping is really good,
and e commerce is really good, and Airbnb is really good,
and it gives me these reports and I'm like cool,
(17:47):
just go copy and beat all of them. And that
AI agent can now go hire other A agents to
do the research and do the copywriting and do the
video editing and come up with the graphics because now
it can make images by itself, and it could do
the listings, and it can list the things and it
can run the ads. They can do all that in
a blink of an eye. What happens to every business
(18:09):
that we know in the world today, Everyone just gets
completely disrupted and upended on a daily basis, over and
over and over. What happens to the economy. We're talking
about an economic domino effect that we just can't even
quite comprehend. In the grand narrative of technological evolution, we
are transitioning from the age of information. That's where we work,
(18:30):
from industrial age to information age. A small business owner,
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(18:52):
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the workload, and for every how do I do question?
You can reach out to their expert staff from sole
proprietor or.
Speaker 2 (19:04):
A team of twenty.
Speaker 1 (19:05):
Just Works empowers all kinds of small businesses with real
human support. So visit justworks dot com, slash podcast, to
join the thousands of small businesses that trust Just Works
to take care of payroll, benefits, compliance, and more. Again
that's Justworks dot com slash podcasts to now the age
(19:28):
of intelligence. I love that, not just information. Everyone has information.
Now now we're going to the age of intelligence and
who has that. It's going to reshape society, revolutionize industries,
and change the nature of work. So technology always does.
It's a transformative shift. Promising advancements in healthcare, education, productivity
(19:51):
sounds great, there's always trade offs.
Speaker 2 (19:54):
The downside is.
Speaker 1 (19:55):
There's concerns of a large scale job loss, mental health repercussion,
and risk to social stability. So the whole world is
gonna change, and it's going to change rapidly. Again, we're
talking about months to years here. We're not talking about
decades at this point any longer, because it's here. Now. Look,
i'm gonna show you what we're gonna do about this. Listen,
it's not a doomingoand video. I'm excited. You can probably tell,
(20:17):
so hopefully I can get you excited as well. Now,
what we're seeing already and then we're going to continue
to see rapidly is the rise of these autonomous economies
autonomous economies. So this is again, if you go to Phoenix, Arizona,
you have these way more taxis driving all over the place.
And imagine that taxi is autonomous and it can just
(20:38):
drive itself, and it could make money on its own,
and it can go get its own service and all
these things. And so what we're seeing is autonomous economies
where now we have AI agents that can go hire
other AI agents. Again, so I task my agent to
go duplicate this e comm drop shipping site, for example,
and it hires other agents to build the website, another
agent to run the Facebook. It's another agent to go
(21:01):
get the quotes from China, another agent to manage the
logistics in the shipping, another agent, and you get the idea.
So I could get one agent that goes and hires
the other agents. That's the autonomous economy. Then the agents
have to pay the other agents for the services. So
now my agent needs the ability to have money and
(21:22):
be able to make payments to other agents for the services,
and they're paying other agents. When machines run economies, what
happens to traditional currencies, banks and even governments. Now, again,
this is not some far off thing as a matter
of fact, it's happening right now today. Let me show
you exactly what I'm talking about. This is a long video.
I'm not going to actually show you the video clip
(21:43):
of it. We can put it in the show notes
down below if you want to watch it. But what
we have right here is a Replet ai agent. It's
what I showed you earlier, so you can use replet
to build yourself an AI agent. So Replet ai agent
went out and searched and found a domain name. They
found a domain name that fit the criteria the experts,
and it bought it and paid for it all on
(22:03):
its own. It purchases a domain name using bitcoin over
the Lightning network. Bitcoin will be the currency of AI.
So this guy has this video where he shows how
he built it, shows the whole transaction. You can watch
the video go down from the researching to the domain name,
to the whole thing, to buying it, taking ownership, and
then the AI could the agent continue to build up
the website and everything. So it literally is not it's
(22:25):
literally happening right now. This is not a future thing.
This is right now, this is today. Now, what are
we expecting from this? We're expecting big things. The market
size of transactions among AI agents is expected to be
one hundred times larger than human transactions. Why would it
be one hundred times larger. Well, because every individual will
(22:47):
probably have ten or more AI agents. I'll probably have
like one hundred, how many will you have? Now, the
transaction frequency among A agents is going to be ten
times greater than that among humans. So these aia is
going to be working really really fast. So not only
will I have ten of them or twenty or fifty
or one hundred of them, they might be doing ten
and fifty one hundred transactions a day each. So we're
(23:09):
talking about something really really massive. I mean, this is
all again, this is happening right now. But here's the problem.
How much does this cost? If I have an AI agent? Right,
if I want to hire a customer service person in
the Philippines, I might pay them six to eight bucks
an hour. If I want to hire a coder in Pakistan,
(23:30):
I might pay them nine to fourteen dollars an hour. Right.
If I want to hire a legal researcher in Europe
and Eastern Europe, maybe I pay them fifteen to twenty
five bucks an hour. But how much does it cost
for me to have an AI agent hire another AI agent.
Will they charge more based off of their expertise? How
much will they charge, Well, they're going to be charging
(23:52):
the cost will to cover their costs? Well, what are
the costs? Well, I guess one to program the agent.
Number two, it's the cost of the power, their electricity
and the compute the CPU, the GPU compute energy will
be the costs they're going to have to pay. But
here's the problem. Our traditional financial system that we have
(24:12):
today is not set up to do this. It will
not work for what these are doing. And it's not
a future thing. This is right now today. As I
just showed you, an AI agent just went and bought
a domain with bitcoin lightning right now. But it can't
work with the traditional financial system because the traditional financial
system has way well it's just too archaic closer you
say that, way too much friction. So, for example, the
(24:34):
current FIAT and KYC, which is know your customer systems
are designed for humans inherently excluding AI agents. So in
order to get a bank account, a debit card, a
credit card, a Venmo account, you have to be a
human and you have to pass KYC and AML regulations.
It's set up specifically to not allow agents to have that. However,
(24:56):
the stringent KYC, the Know Your Customer requirements, and FIAT
system inherently exclude AI agent's So AI agents can't work
in the traditional financial system, but it's here. They're change
in the world. There's no stopping it. So then what happens,
Like I said, there's so much friction? What kind of friction? Well,
(25:16):
we can see here financial service is built on the
assumption that there's an accountable, legally recognized human or at
least a corporate entity behind every transaction. Who's liable? Right
as an AI agent operates independently, it doesn't easily fit
into these frameworks, making compliance both technically challenging and legally uncertain.
(25:38):
Who are we going to sue? Who's liable? A solution
that sidesteps the limitations of traditional finance while addressing security
is of course bitcoin, so we can sidestep this. Now,
there's a couple of things that we can think about here.
Why not credit cards? Mark Well, the credit card system
simply isn't built for machine to machine payments, is riddled
(26:00):
with inefficiencies, high transaction fees, and privacy compliance issues. It's
unsuitable for autonomous agents. You may not know this, but
it's pretty much impossible to send somebody somewhere else in
the world like thirty five cents. Transactions cost more than that. Now,
what happens when these AI agents are making these micro transactions,
(26:21):
When they're doing so one hundred times a day or
one thousand times a day, that fifty dollars one hundred
dollars could get eaten up in fees with one hundred
or a thousand transactions back and forth. It's unsuitable. There's
no compliance, there's no liability or legality there. Furthermore, blockchain
transparency and immutability. The immutability of the blockchain meaning once
(26:44):
I make the transaction, I can't be charged back, offer
a unique advantage. Every transaction executed by the AI is
recorded on chain, so now we have a transparent layer.
Then we can see all the transactions that are happening.
This makes crypto wile it's a suitable infrastructure for autonomous
agents in the finance world, meaning it's the only way.
(27:04):
You have to understand that as technology changes, it doesn't stop.
It doesn't wait for things to change. Technology is what
changes things. Back in the gunpowder Revolution in the fifteen hundreds.
All of a sudden it changed the balance of power.
Were one person one surf with a gun could take
out one hundred nights. And when the gunpowder Revolution starts
(27:27):
sweeping across the world, it wasn't like a nice to have.
It wasn't like, well maybe i'll have guns or I won't.
It was like you better have it. It's what changed
the world. It didn't wait for things. And the AI
agents are here. They're changing things in the system that
we have now won't work and this is all inevitable,
all right now, The real catalyst of all of this
is bitcoin plus AI. You see, when technology advances the world,
(27:50):
it's not about a single technology, it's about multiple things
coming together to give us a new set of building
blocks to build things that we've never imagined. So, for example,
it wasn't just the automobile. If we had the automod bile,
we had no oil and oil fuels, we couldn't drive it.
If we didn't have mass production, we couldn't make them.
So we have to get these clusters of technology that
come together. So really the catalyst is how bitcoin and
(28:11):
AI come together. Now you might be asking yourself, Mark,
why Bitcoin? Why Bitcoin? Well, first of all, it's not
only borderless and censors resistant and immutable, permissionless, it's also personless. Right,
so again you can't get a bank account or Venmo
account without being a person. But bitcoin is personless. The
(28:35):
other reason, well, you might say, but what about the
other two point four million cryptos that are out there,
because those could be personalless. Also, well, bitcoin is the
only one that's really energy backed. It's an energy back system. Now,
remember what is the cost for AI agents to hire
other AI agents the cost of their energy. So AI
is going to understand this very well. They're going to
(28:56):
understand that one is a decentralized system that nobody can control,
nobody can censor, nobody can change, and there's a true
cost of input and economic energy input into it. And
they're going to demand having an economic energy input money
as well. We can see that it's also instant, it's borderless.
And really we have to understand history. We have to
(29:16):
understand these technology cycles. You see me to use these
charts before. Now, technology cycles they happen about every fifty years.
I call them quantum waves, and they have these four
distinct periods that happen. Each one of these cycles has
its own unique attributes. In this cycle from twenty thirty
to twenty forty, which we'll be going into in the
(29:37):
next couple of years, is really what's called the adoption
or the synergy phase. Remember I talked about the S
curve before. You can see how the S curve sort
of fits over this. See that this is the adoption wave.
So this is where bitcoin really becomes as adopted as
this medium of exchange. Remember, all things or money, I
(29:57):
should say, is always an evolutionary process. So it starts
as a collectible. It could evolve, not always, but sometimes
evolves to a store value.
Speaker 2 (30:06):
This is where we're at right now.
Speaker 1 (30:08):
In this next phase, it becomes the medium of exchange.
It's where it becomes that transaction layer, and it eventually
becomes what we call a unit of account. Now, a
lot of people would say, well, why aren't we using
bitcoin for transactions? Now? Where can I go to the
store and buy my groceries with it? Or why am
I not buying coffee with it? All of these things,
And it's well, I would say, you fail to understand history,
(30:30):
and understand monetary history specifically. Now, of course, she has
seto sheet. I did say that bitcoin is a peer
to be electronic cash system, But as I just showed you,
there's an evolutionary process to this that takes us and
we have to go through EA stage one by one.
And what I'd say is, if you don't understand history,
you're bound to repeat it.
Speaker 2 (30:47):
There's something called Gresham's.
Speaker 1 (30:48):
Law, and the Gresham's law is that good money drives
out bad and so what that means is that as
long as there's bad money to use, I'll save the
good money. So if you're like a gold bug, for example,
you might know that up until in nineteen sixty five
in the United States, quarters and dimes were made of
real silver. Now you won't find a pre sixty five
(31:09):
quarter of diamond circulation today. You just you never get them.
Why is that because they've all been removed. Why is
that because people want to save them. Now, if for
some reason you just happened accidentally to get a pre
sixty five quarter a dime, would you spend it? And
the answer is of course no, you wouldn't. You'd be ridiculous.
Today you're going to save it because you can easily
spend the bad money and So that's exactly what we're
(31:30):
talking about here with bitcoin. In this case, it's evolving.
But as long as we can use FIAT, we're going
to continue to use it.
Speaker 2 (31:36):
But the AI agents cannot.
Speaker 1 (31:39):
That's what pushes the use case of this, meaning exchange,
when we can only use that instead of the other thing. Now, Also,
if you're in a Afghanistan, you're in North Korea, maybe
even you're in El Salvorey, you can't afford a bankccout.
There are other reasons why you could use bitcoin today.
But on a whole, when we're talking about mass adoption,
I believe this is the catalyst. Okay, now this all
(32:00):
sounds really scary, right. Your job's at risk, and I
mean that literally, even if you're an entrepreneur, even if
you're a doctor, high praise, high paid professional, you're probably
still at risk. So what does this mean, Well, a
couple things. Number One, we've got a couple of years.
This is happening really really fast, but we probably have
(32:21):
a couple of years. So what does that mean. Well,
I believe over the next three four years we have
this massive opportunity for investment to make a lot of money.
So you have a couple of years to make it
as much money as you can, because I don't know
what the world looks like on the other side of that,
all right, I don't know what the economy looks like
when all these get disrupted. What history shows us is
that when these new technologies come out, this creative disruption happens, happens,
(32:46):
and it creates problems. Now, it's not forever. I'm not
saying that there's no jobs for humans in the future.
I don't believe that at all. I believe that AI
is a tool and as humans, we just have to
learn how to use the tool.
Speaker 2 (32:57):
But it can cause period of disruption.
Speaker 1 (33:01):
For example, in the Industrial Revolution, when everybody worked in
the farm and then we had machines that could do
the work of thousands of men. What did all those
thousands of men do.
Speaker 2 (33:08):
Well, Temporarily they didn't do.
Speaker 1 (33:09):
Anything, but eventually went on to do higher value things
like science and medicine. So there's this temporary disruption.
Speaker 2 (33:16):
But don't worry.
Speaker 1 (33:17):
There's no future that I can see in the world
where humans no longer have problems. As long as there's problems,
there's solutions, there are services, and there's products for those things.
So we have a few years, so get your money
right while you can. Number two, you want to stack
your skills. So if you're that gig worker and you
have a skill, that's great. You know how to do
(33:38):
the research or the copywriting, you know how to do
the bookkeeping, that's great. But if you have one skill,
you'll be the first to be replaced. If you have
multiple skills that are stacked up, you're going to be
able to buy yourself some time. It's going to be
a while before these agents get so far advanced, so
really learn to stack your skills up on top of themselves.
The one thing I don't think the AIA agents will
(33:59):
be able to do is place our creativity. So stack
ups many skills as you can, and learn how to
apply them, create creatively to different solutions or as solutions
to different problems. And then finally stack your SATs. Stack
your skills, and stack your SATs. I'm talking about bitcoin
of course in this example, so we know that bitcoin
is only going up from here based off of this information.
(34:19):
Of course, if you believe it, and so you might
want to be stacking your SATs, and that's going to
be the way that you'll be able to defend yourself
against the technology that's happening. All right, hopefully that makes sense. Again,
this is super exciting for me. I'm using this stuff
in real life and it is making a massive impact
in my business. And you can either use it or
get left bind. Let me know which one you're gonna do.
Use it or get left bind. Lead me a comment
(34:40):
down below, let me know which one. Of course, give
me thumbs up if you like the video. If you don't,
you can give me thumbs down. That's okay, but at
least tell me why in the comments. That's what I got,
all right, see your success. I'm out.
Host
Mark Moss
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