WEBVTT - AI Agents Are Coming for Your Job And Something Bigger!

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<v Speaker 1>The most powerful workforce in human history is rising, and

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<v Speaker 1>it doesn't need you. It doesn't sleep, it doesn't eat,

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<v Speaker 1>it doesn't ask for a raise, and it's coming for

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<v Speaker 1>every job you thought was safe. Yes, doctors, lawyers, coders,

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<v Speaker 1>and even entrepreneurs. But here's the really terrifying part. Losing

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<v Speaker 1>your job is just the beginning. These AI agents aren't

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<v Speaker 1>just replacing workers. They're about to reshape the entire global economy.

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<v Speaker 1>They'll hire each other, they'll pay each other, They'll make

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<v Speaker 1>decisions faster than any human can react. The systems we've

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<v Speaker 1>trusted for centuries they're not built for this. They're about

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<v Speaker 1>to break. So in this video, I'm going to show

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<v Speaker 1>you how AI agents will trigger the biggest economic shift

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<v Speaker 1>in human history and reveal the one thing that's perfectly

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<v Speaker 1>positioned to survive the chaos, and what we should be

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<v Speaker 1>doing to position ourselves now real quick. On mark loss

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<v Speaker 1>and as an investor, I've built and I've exited several

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<v Speaker 1>tech companies. I've been doing this through multiple boom and

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<v Speaker 1>bus markets. I've been a tech focus to venture capital

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<v Speaker 1>investor for over a decade. I'm a partner at a

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<v Speaker 1>leading bentcoin venture fund. I write the Quantum Wave Investment

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<v Speaker 1>Report where I help people navigate these big shifts in

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<v Speaker 1>tech and money. And these lessons are some of the

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<v Speaker 1>things that I'm looking at and hopefully you can use these.

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<v Speaker 1>So let's go all right, we are talking about something

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<v Speaker 1>super exciting for me. It's also super terrifying. Depends on

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<v Speaker 1>how you interpret information more importantly, what you're going to

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<v Speaker 1>do with it. Don't worry. At the end, I'm going

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<v Speaker 1>to leave you with some actionable takeaways so you can

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<v Speaker 1>make this exciting for you as well. Okay, so I'm

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<v Speaker 1>talking about the rise of AI agents. What yeah, agents.

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<v Speaker 1>Now this is happening super fast, so if you're not

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<v Speaker 1>paying attention, you might have missed what's going on. We

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<v Speaker 1>have AI right that kind of got brought to the forefront,

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<v Speaker 1>brought to consumers with Open AI back in November twenty

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<v Speaker 1>twenty two, and now it's changed the world. Now we

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<v Speaker 1>have something called AI agents. I'm going to break this

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<v Speaker 1>all down for you and see what so you can

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<v Speaker 1>understand what it is, but we can set the AI

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<v Speaker 1>agent market is absolutely exploding.

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<v Speaker 2>Let me tell you what this is.

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<v Speaker 1>So it's basically a way that I can create an

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<v Speaker 1>AI to be an autonomous agent on my behalf to

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<v Speaker 1>do a pre defined set of tasks. So for example,

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<v Speaker 1>I could create an AI agent to do my customer

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<v Speaker 1>service for me, or handle my sales calls for me,

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<v Speaker 1>or go research financial markets for me. So I give

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<v Speaker 1>it a set of parameters and I just let it

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<v Speaker 1>go and it works autonomously based off of that code.

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<v Speaker 1>This is what AI agents do. Now, these can do

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<v Speaker 1>complex things that stack on top of each other. But

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<v Speaker 1>I'm getting ahead of myself. I'll get back to that

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<v Speaker 1>in a minute. But again, this is happening super super fast,

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<v Speaker 1>like in the last six months fast. So we can

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<v Speaker 1>see here twenty twenty four there was barely any market.

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<v Speaker 1>By twenty thirty, they're expecting it to grow to forty

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<v Speaker 1>seven point one times. This is the market size in billions.

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<v Speaker 1>We're talking about it growing super fast, and all the

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<v Speaker 1>big people are in this of course, Google, IBM, Microsoft, Amazon,

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<v Speaker 1>you get it. Okay, Now, this is all happening really fast.

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<v Speaker 1>Now this is projected to grow even faster and faster

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<v Speaker 1>and faster. So you can see AI agents market right here,

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<v Speaker 1>and you can see we're right here twenty twenty five

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<v Speaker 1>right now, and this is what we.

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<v Speaker 2>Call parabolic growth.

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<v Speaker 1>We're at about five point twenty nine billion right now,

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<v Speaker 1>and they're expecting it to grow out of forty percent

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<v Speaker 1>compounded annual growth rate KEGAR until twenty thirty five to

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<v Speaker 1>about a value of two hundred and sixteen billion. I'm

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<v Speaker 1>guessing we're gonna overshoot that number, but you can still

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<v Speaker 1>see the type of growth that they're projecting. These AI

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<v Speaker 1>agents are coming for everything. So when I say coming

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<v Speaker 1>for everything, what are they coming for? Well? Everything, But

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<v Speaker 1>right now what we can see is that the type

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<v Speaker 1>of agent systems is we have like multiagent and single agent,

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<v Speaker 1>so singleated it's working together to become multi agents to

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<v Speaker 1>do multiple things. So for example, they could do all

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<v Speaker 1>the search and dumped them as, they could do niche

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<v Speaker 1>research for me. They could write articles for me. They

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<v Speaker 1>can create ads and then can go buy the ads

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<v Speaker 1>on Facebook marketplace, so they could string multiple agents together

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<v Speaker 1>to do this complex thing. The areas of application that

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<v Speaker 1>we're really seeing right now just in a last a

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<v Speaker 1>couple of months, but this is going to change customer service,

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<v Speaker 1>virtual assistance, healthcare. The type of roles that the agents

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<v Speaker 1>are being assigned to code generation, so they're writing code

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<v Speaker 1>at a super rapid rate. As a matter of fact,

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<v Speaker 1>another six months from now, coders, we're going to be

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<v Speaker 1>looking for new jobs, customer service, reps, marketing, some of

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<v Speaker 1>the things like I just sort of talked about, productivity

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<v Speaker 1>and personal assistance and sales. These are the types of

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<v Speaker 1>things that are under attack right now. Types of learning,

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<v Speaker 1>deep learning, machine learning, and the types of products is

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<v Speaker 1>build your own agents and ready to deploy agents. So

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<v Speaker 1>we're going to show you a couple of ways that

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<v Speaker 1>you can do this, where you can build your own

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<v Speaker 1>or you can go with companies that already have this.

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<v Speaker 1>But look, this is a ticking clock. This is all

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<v Speaker 1>happening right now. The world is changing right below our feet,

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<v Speaker 1>and I think it's exciting, but for people that are

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<v Speaker 1>listing those categories right there, it can be extremely terrifying.

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<v Speaker 1>Now we can see that AI implementation is a top priority,

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<v Speaker 1>the number one top priority across marketing and e commerce teams.

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<v Speaker 1>So for e comm it can do all the product research,

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<v Speaker 1>can get requests for quotes from all your vendors, it

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<v Speaker 1>can manage shipments, it could get your listings done, it

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<v Speaker 1>can handle the customer service on the what everything. So

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<v Speaker 1>it's a top priority for these companies. AI has proven

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<v Speaker 1>contribution to revenue and cost reduction, so it's a proven

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<v Speaker 1>contributor to revenue, bringing in more money and reducing costs

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<v Speaker 1>at the same time. Of course, businesses want that a

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<v Speaker 1>implementation is their number one priority eighty three percent. It's

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<v Speaker 1>a big number. Eighty two percent of sales teams with

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<v Speaker 1>AI saw revenue growth in the past year, so pretty

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<v Speaker 1>much everybody who tried it made more money. More people

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<v Speaker 1>want to do it versus sixty six percent of teams

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<v Speaker 1>without AI. I competition right, Seventy six percent of e

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<v Speaker 1>commerce teams with AI credit it with revenue growth. Seventy

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<v Speaker 1>six percent of people who used it made more money.

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<v Speaker 1>Ninety two percent of service teams with aisay it reduces

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<v Speaker 1>their costs, so saving money, making money. It's all the

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<v Speaker 1>same thing. If ninety two percent of the people are

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<v Speaker 1>getting at guess what everybody is going to want it,

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<v Speaker 1>and not just AI as in CHGPT, but AI agents.

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<v Speaker 1>Now we have all these companies jumping into this game

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<v Speaker 1>to build AI agents. This is Salesforce introduce an agent

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<v Speaker 1>Force two point zero, the digital labor platform for building

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<v Speaker 1>a what limitless workforce. So now Salesforce that's powered your

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<v Speaker 1>customer contact based your CRM. Now they want to give

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<v Speaker 1>you agents to replace all those people that work in

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<v Speaker 1>your company. Pretty cool, right, Well, it is if you're

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<v Speaker 1>a business owner. It's not so good if those are

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<v Speaker 1>your jobs being outsourced. But I have bad news for you.

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<v Speaker 1>Even if you're a business owner, you might still be

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<v Speaker 1>at risk. I'm going to break that down what we're

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<v Speaker 1>really seeing, though. You have to understand this. I talk

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<v Speaker 1>a lot about tech cycles, technology cycles, because when you

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<v Speaker 1>go back through thousands of years of history, it's always

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<v Speaker 1>technology that changes the world because it changes the way

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<v Speaker 1>that we work, the way that we organize, the way

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<v Speaker 1>that we communicate, and so then it changes the world.

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<v Speaker 1>And so what we've seen is technology changing the world.

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<v Speaker 1>And we saw the rise and the fall of the

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<v Speaker 1>knowledge industry. So what happened about two hundred and fifty

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<v Speaker 1>years ago was he had the Industrial Revolution. Now we

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<v Speaker 1>had people in the farms and the cottage industry, and

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<v Speaker 1>the Industrial Revolution represented the first time we had mechanized machines,

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<v Speaker 1>machines that can do the work with thousands of men.

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<v Speaker 1>And then we went on to do war machines. We

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<v Speaker 1>got steel, heavy equipment, electricity, automobiles, mass production. So we

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<v Speaker 1>had this Industrial age, and during the Industrial Age, especially

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<v Speaker 1>in America in the early nineteen hundreds to mid nineteen hundreds,

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<v Speaker 1>we became this industrial powerhouse. Our factories and our ingenuity

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<v Speaker 1>dominated the world. Of course, other countries industrialized as well.

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<v Speaker 1>Then something happened. We went from the Industrial age where

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<v Speaker 1>we had this massive middle class because we had this

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<v Speaker 1>assembly line, and everybody on the assymble line was pretty equal.

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<v Speaker 1>Very smart people and not so smart people were equal,

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<v Speaker 1>each putting their cog on a wheel. Now, a lot

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<v Speaker 1>of people would say that the reason why the middle

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<v Speaker 1>class is kind of gone today or shrunk at least,

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<v Speaker 1>is because those jobs have been outsourced to like China

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<v Speaker 1>for example. Now part of that is true, but I

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<v Speaker 1>would argue that it's because we went from the Industrial

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<v Speaker 1>age to the information age. You see, working in factories

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<v Speaker 1>and putting cogs on a wheel is not what it

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<v Speaker 1>used to be. And today we're on the information age.

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<v Speaker 1>So now we're building computer programs and software and microchips,

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<v Speaker 1>and we have people with laptops traveling the world making

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<v Speaker 1>money online. And now with AI we've gone from the

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<v Speaker 1>industrial age to the knowledge worker aged information age. And

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<v Speaker 1>then the Information age is, well, if you're smarter, if

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<v Speaker 1>you're more creative, if you work harder longer, you can

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<v Speaker 1>get ahead faster because you're not just putting.

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<v Speaker 2>A coggon wheel eight to five.

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<v Speaker 1>All right. Now, we can see that as we went

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<v Speaker 1>from the Industrial age to the Information age, society changed,

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<v Speaker 1>of course, because it changed the way that we work.

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<v Speaker 1>Instead of everybody being in the big communities and all

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<v Speaker 1>working together and all being on the union, now we

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<v Speaker 1>have digital nomads working on their laptops all around the world.

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<v Speaker 2>So it changes societies.

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<v Speaker 1>And what's happened part of that is because now if

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<v Speaker 1>I can be a knowledge worker, then I can have

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<v Speaker 1>specialty skill, and I can take that specialty skill and

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<v Speaker 1>I can.

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<v Speaker 2>Apply it anywhere I want.

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<v Speaker 1>So I could be a graphic designer, or a video editor,

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<v Speaker 1>or even a bookkeeper and I can provide those bookkeeping,

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<v Speaker 1>a graphic design, video editing services for multiple people at

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<v Speaker 1>the same time. And this created the gig economy. You

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<v Speaker 1>might have heard about it. This also includes Airbnb hosts

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<v Speaker 1>and Uber drivers and things like that. And the gig

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<v Speaker 1>economy has completely exploded under this information age. As a

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<v Speaker 1>matter of fact. You can see it from twenty twelve.

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<v Speaker 1>Basically non exist all the way till I mean, this

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<v Speaker 1>is only till twenty twenty one. Right now, it's like

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<v Speaker 1>way up here, but you can see the rise in

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<v Speaker 1>the growth of this now. One of the things that

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<v Speaker 1>this was amazing for was bringing workers from all over

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<v Speaker 1>the world into the global workforce. So I use a

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<v Speaker 1>website called upwork dot com. There's other ones like freelancer

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<v Speaker 1>dot com or fiver and basically any of these tasks

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<v Speaker 1>that you need done, these soft taskses, specialty skills, copywriting,

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<v Speaker 1>ghost writing, research, legal work, accounting, you name it. I

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<v Speaker 1>can go hire somebody from anywhere in the world to

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<v Speaker 1>do this job for me. And so what it did

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<v Speaker 1>is it brought what we call technical workers onto the workforce.

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<v Speaker 1>So maybe you're a coder from Islami's bad, or you're

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<v Speaker 1>an engineer from Pakistan, or you're a customer service rep

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<v Speaker 1>from the Philippines or your whatever. It brought all these

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<v Speaker 1>technical workers into the world and it created this giant

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<v Speaker 1>gig economy. Of course, it's not just all over the world.

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<v Speaker 1>It's in the United States as well. Data shows to

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<v Speaker 1>the global gig economy now counts for twelve percent of

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<v Speaker 1>the global market hasn't taken it over yet, but we're

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<v Speaker 1>since twenty twelve, right, this's happening really fast. More than

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<v Speaker 1>one third of the US workforce is now engaged in

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<v Speaker 1>some form of gig work, and they project that to

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<v Speaker 1>be half by twenty twenty five. That's this year, half

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<v Speaker 1>of the workforce in the United States will be working

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<v Speaker 1>on some type of gig Forty percent of organizations, one

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<v Speaker 1>in four workers on the payroll is a gig worker.

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<v Speaker 1>Twenty five percent of companies payrolls are for gig workers. Now,

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<v Speaker 1>I want to just reiterate the point one time. What

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<v Speaker 1>is a gig worker.

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<v Speaker 2>They they're like a trade.

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<v Speaker 1>They apply expertise. They have a skill, video editing, graphic design, copyrighting, research,

0:11:47.520 --> 0:11:50.160
<v Speaker 1>they have a skill and they can apply to different people.

0:11:50.440 --> 0:11:51.760
<v Speaker 2>That's their applied expertise.

0:11:51.760 --> 0:11:55.000
<v Speaker 1>Like I said, about half the workers there. Now we

0:11:55.040 --> 0:11:57.560
<v Speaker 1>can see why this is continuing to grow when you

0:11:57.600 --> 0:12:00.720
<v Speaker 1>break it down by age group. So we have baby

0:12:00.720 --> 0:12:04.040
<v Speaker 1>boomers right here, only nine percent of them are are

0:12:04.080 --> 0:12:07.800
<v Speaker 1>gig workers. Gen X twenty seven percent. But right here

0:12:07.840 --> 0:12:10.640
<v Speaker 1>we have the millennials forty five percent. So, of course,

0:12:10.920 --> 0:12:13.720
<v Speaker 1>as we start getting to these younger generations, we'll have

0:12:13.800 --> 0:12:16.120
<v Speaker 1>more and more people working in gigwork. So it's both

0:12:16.240 --> 0:12:19.439
<v Speaker 1>a technology thing, it's a societal thing, and it's an

0:12:19.480 --> 0:12:20.040
<v Speaker 1>age thing.

0:12:20.080 --> 0:12:21.240
<v Speaker 2>But here's the key.

0:12:22.080 --> 0:12:24.960
<v Speaker 1>The key is that these are people with trades, with

0:12:25.080 --> 0:12:29.520
<v Speaker 1>specialty skills that they can apply, and those skills are

0:12:29.640 --> 0:12:33.160
<v Speaker 1>under threat because it's those specialty skills that are going

0:12:33.240 --> 0:12:35.240
<v Speaker 1>to be the first to be outsourced. Let me explain

0:12:35.320 --> 0:12:38.120
<v Speaker 1>this to you. When I hire somebody on fiver or

0:12:38.200 --> 0:12:41.280
<v Speaker 1>upwork to do a task for me, they're an autonomous agent.

0:12:41.640 --> 0:12:44.680
<v Speaker 1>I'm hiring this person on fiver or upwork to go

0:12:45.360 --> 0:12:47.679
<v Speaker 1>do search engine optimization for me. So they're going to

0:12:47.800 --> 0:12:49.920
<v Speaker 1>take my article, they're going to go research it, they're

0:12:49.920 --> 0:12:51.800
<v Speaker 1>going to come up with the best keywords, they're going

0:12:51.840 --> 0:12:54.160
<v Speaker 1>to rewrite the article, they're going to get it posted,

0:12:54.320 --> 0:12:56.760
<v Speaker 1>they're going to get the backlinks and all of those things. Well,

0:12:57.280 --> 0:13:00.680
<v Speaker 1>that's an autonomous person that's doing all of those functions.

0:13:00.920 --> 0:13:03.640
<v Speaker 1>But today I can have an AI agent build to

0:13:03.679 --> 0:13:06.480
<v Speaker 1>do that. I can hire customer service people from the

0:13:06.520 --> 0:13:09.400
<v Speaker 1>Philippines that can reply to my emails or take my

0:13:09.480 --> 0:13:12.840
<v Speaker 1>phone calls. But now they're an agent. They're an autonomous

0:13:12.880 --> 0:13:15.520
<v Speaker 1>person that's doing this based off of scripts up provided.

0:13:15.920 --> 0:13:18.440
<v Speaker 1>But I can also just train an AI agent to

0:13:18.480 --> 0:13:21.080
<v Speaker 1>do the same thing. So the very first people that

0:13:21.120 --> 0:13:24.240
<v Speaker 1>are going to be disrupted are the typical agents, the

0:13:24.320 --> 0:13:27.240
<v Speaker 1>gig workers. They're agents, and they're going to be replaced

0:13:27.280 --> 0:13:30.400
<v Speaker 1>with AI agents. Now, for if you have to drive

0:13:30.400 --> 0:13:32.640
<v Speaker 1>a ubercar, you might be a little bit more safe,

0:13:32.720 --> 0:13:36.080
<v Speaker 1>except unless if you've seen like Waymow driving around. These

0:13:36.080 --> 0:13:41.240
<v Speaker 1>are autonomous taxis as well. Okay, And what we're really

0:13:41.280 --> 0:13:44.920
<v Speaker 1>witnessing is something much bigger than that. Because as big

0:13:45.000 --> 0:13:48.480
<v Speaker 1>as that is, to replace all those agents all across

0:13:48.520 --> 0:13:52.040
<v Speaker 1>the world, researchers and writers and copywriters and video editors,

0:13:52.320 --> 0:13:56.720
<v Speaker 1>replace all those agents with AI agents, it's even something bigger.

0:13:56.840 --> 0:13:59.760
<v Speaker 1>If you're an entrepreneur, watch out. What we're really witnessing

0:13:59.840 --> 0:14:02.080
<v Speaker 1>is the collapse of scarcity.

0:14:02.160 --> 0:14:03.000
<v Speaker 2>What do I mean by that?

0:14:03.520 --> 0:14:08.480
<v Speaker 1>So all value is derived from scarcity and utility, and

0:14:08.559 --> 0:14:11.960
<v Speaker 1>so when you have scarcity, it increases the value most times.

0:14:12.040 --> 0:14:14.959
<v Speaker 1>So for example, if I'm a doctor, if I'm an attorney,

0:14:15.240 --> 0:14:17.120
<v Speaker 1>if I'm a coder, I have.

0:14:17.040 --> 0:14:19.240
<v Speaker 2>Information or knowledge that most people just don't have.

0:14:19.600 --> 0:14:22.040
<v Speaker 1>I went to school for five years or ten years

0:14:22.120 --> 0:14:25.160
<v Speaker 1>to learn this information. I went to school to learn coding,

0:14:25.240 --> 0:14:27.920
<v Speaker 1>so I have scarce information most people don't have, and

0:14:27.960 --> 0:14:32.040
<v Speaker 1>I'm paid a premium for that. But what happens when

0:14:32.160 --> 0:14:37.240
<v Speaker 1>knowledge is infinite and it's free, does it lose value?

0:14:37.840 --> 0:14:39.720
<v Speaker 1>So what we see is that back in the day,

0:14:39.800 --> 0:14:43.120
<v Speaker 1>the information was the moat. That's why the attorneys and

0:14:43.120 --> 0:14:45.080
<v Speaker 1>the doctor are able to charge that. But when an

0:14:45.080 --> 0:14:49.520
<v Speaker 1>AI has way more data information than any attorney or

0:14:49.560 --> 0:14:52.960
<v Speaker 1>any doctor, or can write code faster than any coder,

0:14:53.320 --> 0:14:57.880
<v Speaker 1>then what happens to that specialty knowledge the collapse of scarcity.

0:14:58.080 --> 0:15:00.600
<v Speaker 1>So we can take a couple examples from his So

0:15:00.640 --> 0:15:02.280
<v Speaker 1>here's a picture of when.

0:15:03.680 --> 0:15:04.840
<v Speaker 2>Scarcity changed.

0:15:05.040 --> 0:15:09.600
<v Speaker 1>When we went from transportation being done by horses nineteen

0:15:09.800 --> 0:15:15.080
<v Speaker 1>hundred to transportation being done by cars nineteen thirteen. This

0:15:15.200 --> 0:15:19.040
<v Speaker 1>is the same street, only thirteen years difference. But you

0:15:19.120 --> 0:15:22.640
<v Speaker 1>don't see a single horse in this picture, nor do

0:15:22.640 --> 0:15:25.000
<v Speaker 1>you see a single car in that picture. Now we

0:15:25.040 --> 0:15:28.480
<v Speaker 1>can see how quickly this changed, and we can see

0:15:28.480 --> 0:15:33.440
<v Speaker 1>here that horses fell off of a cliff while automobiles

0:15:33.720 --> 0:15:37.320
<v Speaker 1>went up in really rapid time. Now we use something

0:15:37.360 --> 0:15:39.160
<v Speaker 1>to might recognize this. I talk about it quite often

0:15:39.200 --> 0:15:39.880
<v Speaker 1>in technology.

0:15:39.920 --> 0:15:41.160
<v Speaker 2>We call it an s curve.

0:15:41.440 --> 0:15:43.360
<v Speaker 1>The time it takes to get to ten percent adoption

0:15:43.760 --> 0:15:45.120
<v Speaker 1>is about the same time it takes to get to

0:15:45.200 --> 0:15:49.360
<v Speaker 1>about eighty or ninety percent adoption. So we can see

0:15:49.400 --> 0:15:53.680
<v Speaker 1>how quickly this happening. Now this time were the horses.

0:15:54.080 --> 0:15:58.320
<v Speaker 1>This time, humans are being replaced with ais that can

0:15:58.400 --> 0:16:01.440
<v Speaker 1>write the code, that can drive the and do more.

0:16:01.560 --> 0:16:03.640
<v Speaker 1>As a matter of fact, let me just show you

0:16:03.960 --> 0:16:07.560
<v Speaker 1>how well some of this technology works to replacing programmers.

0:16:07.560 --> 0:16:09.160
<v Speaker 1>For example, let's watch this short video.

0:16:10.000 --> 0:16:13.480
<v Speaker 3>You always wondered why that app didn't exist. Now you

0:16:13.480 --> 0:16:17.560
<v Speaker 3>can make it. Meet replet agent. Want a custom workout plan,

0:16:18.200 --> 0:16:20.960
<v Speaker 3>Make an app for that. Have a great idea at

0:16:21.000 --> 0:16:24.760
<v Speaker 3>two am, Make an app for that. Need to run

0:16:24.760 --> 0:16:28.800
<v Speaker 3>an analysis or learn with your kids. Make an app

0:16:28.800 --> 0:16:35.360
<v Speaker 3>for that too. This isn't just making apps. This is

0:16:35.400 --> 0:16:40.200
<v Speaker 3>your imagination unleashed. Describe what you want and watch it

0:16:40.200 --> 0:16:44.600
<v Speaker 3>come to life, no coding experience, right from your phone.

0:16:45.680 --> 0:16:49.400
<v Speaker 3>Made an awesome app, share it with a friend, have

0:16:49.440 --> 0:16:51.840
<v Speaker 3>a business idea, start in minutes.

0:16:52.320 --> 0:16:55.080
<v Speaker 1>Okay, so what you just watched was a company called replet.

0:16:55.200 --> 0:16:58.000
<v Speaker 1>You can just go there and you can literally speak

0:16:58.080 --> 0:17:00.520
<v Speaker 1>into it or type a description of something that you

0:17:00.560 --> 0:17:03.520
<v Speaker 1>want and it can just build the app. So for example,

0:17:03.560 --> 0:17:05.879
<v Speaker 1>I could just say, hey, I'd like a financial management

0:17:05.920 --> 0:17:08.240
<v Speaker 1>app or I'd like a stock screen and app, and

0:17:08.280 --> 0:17:09.680
<v Speaker 1>it can just like literally build it for me. And

0:17:09.760 --> 0:17:11.280
<v Speaker 1>I was like, well, I don't really like it to

0:17:11.280 --> 0:17:12.840
<v Speaker 1>do that. I'd like to add these features, and then

0:17:12.840 --> 0:17:16.480
<v Speaker 1>it just adds those features like from verbal text. Anybody

0:17:16.560 --> 0:17:18.920
<v Speaker 1>now could create an app and they're doing.

0:17:18.760 --> 0:17:20.320
<v Speaker 2>It on replet.

0:17:20.520 --> 0:17:23.120
<v Speaker 1>Now what does this mean. What it means is that

0:17:23.240 --> 0:17:24.639
<v Speaker 1>every mote is destroyed.

0:17:24.920 --> 0:17:26.679
<v Speaker 2>AI has destroyed it. So think about this.

0:17:27.040 --> 0:17:29.600
<v Speaker 1>So in a future not too far away, like a

0:17:29.680 --> 0:17:32.720
<v Speaker 1>year from now, I could literally have an AI agent

0:17:32.760 --> 0:17:35.400
<v Speaker 1>that I could say, go out and find the top

0:17:35.480 --> 0:17:39.560
<v Speaker 1>ten online businesses and come back with a full report.

0:17:39.680 --> 0:17:41.680
<v Speaker 1>And it's like okay, like drop shipping is really good,

0:17:41.680 --> 0:17:44.360
<v Speaker 1>and e commerce is really good, and Airbnb is really good,

0:17:44.359 --> 0:17:46.399
<v Speaker 1>and it gives me these reports and I'm like cool,

0:17:47.480 --> 0:17:50.359
<v Speaker 1>just go copy and beat all of them. And that

0:17:50.480 --> 0:17:53.320
<v Speaker 1>AI agent can now go hire other A agents to

0:17:53.400 --> 0:17:55.879
<v Speaker 1>do the research and do the copywriting and do the

0:17:55.960 --> 0:17:58.120
<v Speaker 1>video editing and come up with the graphics because now

0:17:58.119 --> 0:18:00.439
<v Speaker 1>it can make images by itself, and it could do

0:18:00.560 --> 0:18:02.320
<v Speaker 1>the listings, and it can list the things and it

0:18:02.359 --> 0:18:05.000
<v Speaker 1>can run the ads. They can do all that in

0:18:05.040 --> 0:18:08.639
<v Speaker 1>a blink of an eye. What happens to every business

0:18:09.000 --> 0:18:12.160
<v Speaker 1>that we know in the world today, Everyone just gets

0:18:12.200 --> 0:18:16.399
<v Speaker 1>completely disrupted and upended on a daily basis, over and

0:18:16.480 --> 0:18:18.920
<v Speaker 1>over and over. What happens to the economy. We're talking

0:18:18.960 --> 0:18:22.960
<v Speaker 1>about an economic domino effect that we just can't even

0:18:23.000 --> 0:18:27.080
<v Speaker 1>quite comprehend. In the grand narrative of technological evolution, we

0:18:27.119 --> 0:18:30.400
<v Speaker 1>are transitioning from the age of information. That's where we work,

0:18:30.440 --> 0:18:34.399
<v Speaker 1>from industrial age to information age. A small business owner,

0:18:34.520 --> 0:18:37.320
<v Speaker 1>are you buried in all types of work keeping you

0:18:37.359 --> 0:18:39.920
<v Speaker 1>from the real thing that makes you money? Well, that's

0:18:39.960 --> 0:18:41.960
<v Speaker 1>where just Works comes in. They're the all in one

0:18:41.960 --> 0:18:45.280
<v Speaker 1>platform that supports small business growth. You can get all

0:18:45.359 --> 0:18:48.560
<v Speaker 1>their tools that help with benefits like payroll and HR

0:18:48.680 --> 0:18:52.720
<v Speaker 1>and compliance with transparent pricing. Now they help you hire

0:18:52.760 --> 0:18:57.439
<v Speaker 1>top talent internationally, internew markets, quickly scale international operations without

0:18:57.480 --> 0:19:00.560
<v Speaker 1>the workload, and for every how do I do question?

0:19:00.680 --> 0:19:03.040
<v Speaker 1>You can reach out to their expert staff from sole

0:19:03.119 --> 0:19:04.359
<v Speaker 1>proprietor or.

0:19:04.320 --> 0:19:05.080
<v Speaker 2>A team of twenty.

0:19:05.480 --> 0:19:09.080
<v Speaker 1>Just Works empowers all kinds of small businesses with real

0:19:09.200 --> 0:19:13.520
<v Speaker 1>human support. So visit justworks dot com, slash podcast, to

0:19:13.640 --> 0:19:16.560
<v Speaker 1>join the thousands of small businesses that trust Just Works

0:19:16.680 --> 0:19:20.119
<v Speaker 1>to take care of payroll, benefits, compliance, and more. Again

0:19:20.280 --> 0:19:28.080
<v Speaker 1>that's Justworks dot com slash podcasts to now the age

0:19:28.200 --> 0:19:32.600
<v Speaker 1>of intelligence. I love that, not just information. Everyone has information.

0:19:32.720 --> 0:19:35.600
<v Speaker 1>Now now we're going to the age of intelligence and

0:19:35.640 --> 0:19:41.000
<v Speaker 1>who has that. It's going to reshape society, revolutionize industries,

0:19:41.040 --> 0:19:44.639
<v Speaker 1>and change the nature of work. So technology always does.

0:19:45.240 --> 0:19:51.159
<v Speaker 1>It's a transformative shift. Promising advancements in healthcare, education, productivity

0:19:51.520 --> 0:19:54.000
<v Speaker 1>sounds great, there's always trade offs.

0:19:54.080 --> 0:19:54.960
<v Speaker 2>The downside is.

0:19:55.119 --> 0:20:00.200
<v Speaker 1>There's concerns of a large scale job loss, mental health repercussion,

0:20:00.640 --> 0:20:03.800
<v Speaker 1>and risk to social stability. So the whole world is

0:20:03.840 --> 0:20:06.800
<v Speaker 1>gonna change, and it's going to change rapidly. Again, we're

0:20:06.800 --> 0:20:10.000
<v Speaker 1>talking about months to years here. We're not talking about

0:20:10.000 --> 0:20:13.200
<v Speaker 1>decades at this point any longer, because it's here. Now. Look,

0:20:13.200 --> 0:20:15.000
<v Speaker 1>i'm gonna show you what we're gonna do about this. Listen,

0:20:15.000 --> 0:20:17.639
<v Speaker 1>it's not a doomingoand video. I'm excited. You can probably tell,

0:20:17.880 --> 0:20:20.200
<v Speaker 1>so hopefully I can get you excited as well. Now,

0:20:21.080 --> 0:20:23.719
<v Speaker 1>what we're seeing already and then we're going to continue

0:20:23.720 --> 0:20:28.320
<v Speaker 1>to see rapidly is the rise of these autonomous economies

0:20:29.040 --> 0:20:33.080
<v Speaker 1>autonomous economies. So this is again, if you go to Phoenix, Arizona,

0:20:33.119 --> 0:20:35.520
<v Speaker 1>you have these way more taxis driving all over the place.

0:20:35.760 --> 0:20:38.919
<v Speaker 1>And imagine that taxi is autonomous and it can just

0:20:38.960 --> 0:20:41.200
<v Speaker 1>drive itself, and it could make money on its own,

0:20:41.359 --> 0:20:43.000
<v Speaker 1>and it can go get its own service and all

0:20:43.040 --> 0:20:45.280
<v Speaker 1>these things. And so what we're seeing is autonomous economies

0:20:45.280 --> 0:20:48.639
<v Speaker 1>where now we have AI agents that can go hire

0:20:48.920 --> 0:20:52.280
<v Speaker 1>other AI agents. Again, so I task my agent to

0:20:52.320 --> 0:20:55.960
<v Speaker 1>go duplicate this e comm drop shipping site, for example,

0:20:56.160 --> 0:20:58.919
<v Speaker 1>and it hires other agents to build the website, another

0:20:58.960 --> 0:21:01.119
<v Speaker 1>agent to run the Facebook. It's another agent to go

0:21:01.119 --> 0:21:04.000
<v Speaker 1>get the quotes from China, another agent to manage the

0:21:04.000 --> 0:21:07.399
<v Speaker 1>logistics in the shipping, another agent, and you get the idea.

0:21:07.480 --> 0:21:09.679
<v Speaker 1>So I could get one agent that goes and hires

0:21:09.720 --> 0:21:13.760
<v Speaker 1>the other agents. That's the autonomous economy. Then the agents

0:21:14.080 --> 0:21:18.000
<v Speaker 1>have to pay the other agents for the services. So

0:21:18.040 --> 0:21:22.000
<v Speaker 1>now my agent needs the ability to have money and

0:21:22.080 --> 0:21:26.080
<v Speaker 1>be able to make payments to other agents for the services,

0:21:26.119 --> 0:21:29.800
<v Speaker 1>and they're paying other agents. When machines run economies, what

0:21:29.880 --> 0:21:34.439
<v Speaker 1>happens to traditional currencies, banks and even governments. Now, again,

0:21:34.480 --> 0:21:36.400
<v Speaker 1>this is not some far off thing as a matter

0:21:36.400 --> 0:21:39.120
<v Speaker 1>of fact, it's happening right now today. Let me show

0:21:39.160 --> 0:21:41.720
<v Speaker 1>you exactly what I'm talking about. This is a long video.

0:21:41.760 --> 0:21:43.720
<v Speaker 1>I'm not going to actually show you the video clip

0:21:43.760 --> 0:21:45.240
<v Speaker 1>of it. We can put it in the show notes

0:21:45.240 --> 0:21:46.800
<v Speaker 1>down below if you want to watch it. But what

0:21:46.840 --> 0:21:49.400
<v Speaker 1>we have right here is a Replet ai agent. It's

0:21:49.440 --> 0:21:51.320
<v Speaker 1>what I showed you earlier, so you can use replet

0:21:51.320 --> 0:21:54.240
<v Speaker 1>to build yourself an AI agent. So Replet ai agent

0:21:54.600 --> 0:21:57.679
<v Speaker 1>went out and searched and found a domain name. They

0:21:57.680 --> 0:21:59.960
<v Speaker 1>found a domain name that fit the criteria the experts,

0:22:00.920 --> 0:22:03.800
<v Speaker 1>and it bought it and paid for it all on

0:22:03.840 --> 0:22:07.480
<v Speaker 1>its own. It purchases a domain name using bitcoin over

0:22:07.520 --> 0:22:11.080
<v Speaker 1>the Lightning network. Bitcoin will be the currency of AI.

0:22:11.400 --> 0:22:13.239
<v Speaker 1>So this guy has this video where he shows how

0:22:13.280 --> 0:22:15.600
<v Speaker 1>he built it, shows the whole transaction. You can watch

0:22:15.600 --> 0:22:17.880
<v Speaker 1>the video go down from the researching to the domain name,

0:22:17.920 --> 0:22:20.600
<v Speaker 1>to the whole thing, to buying it, taking ownership, and

0:22:20.600 --> 0:22:22.560
<v Speaker 1>then the AI could the agent continue to build up

0:22:22.560 --> 0:22:25.600
<v Speaker 1>the website and everything. So it literally is not it's

0:22:25.640 --> 0:22:28.120
<v Speaker 1>literally happening right now. This is not a future thing.

0:22:28.480 --> 0:22:31.919
<v Speaker 1>This is right now, this is today. Now, what are

0:22:31.920 --> 0:22:35.080
<v Speaker 1>we expecting from this? We're expecting big things. The market

0:22:35.119 --> 0:22:38.760
<v Speaker 1>size of transactions among AI agents is expected to be

0:22:39.000 --> 0:22:43.000
<v Speaker 1>one hundred times larger than human transactions. Why would it

0:22:43.040 --> 0:22:47.520
<v Speaker 1>be one hundred times larger. Well, because every individual will

0:22:47.520 --> 0:22:51.000
<v Speaker 1>probably have ten or more AI agents. I'll probably have

0:22:51.040 --> 0:22:54.159
<v Speaker 1>like one hundred, how many will you have? Now, the

0:22:54.200 --> 0:22:56.760
<v Speaker 1>transaction frequency among A agents is going to be ten

0:22:56.800 --> 0:23:00.200
<v Speaker 1>times greater than that among humans. So these aia is

0:23:00.240 --> 0:23:02.600
<v Speaker 1>going to be working really really fast. So not only

0:23:02.640 --> 0:23:04.080
<v Speaker 1>will I have ten of them or twenty or fifty

0:23:04.119 --> 0:23:06.000
<v Speaker 1>or one hundred of them, they might be doing ten

0:23:06.080 --> 0:23:09.600
<v Speaker 1>and fifty one hundred transactions a day each. So we're

0:23:09.600 --> 0:23:12.480
<v Speaker 1>talking about something really really massive. I mean, this is

0:23:12.520 --> 0:23:16.520
<v Speaker 1>all again, this is happening right now. But here's the problem.

0:23:17.160 --> 0:23:21.439
<v Speaker 1>How much does this cost? If I have an AI agent? Right,

0:23:21.640 --> 0:23:24.199
<v Speaker 1>if I want to hire a customer service person in

0:23:24.240 --> 0:23:26.880
<v Speaker 1>the Philippines, I might pay them six to eight bucks

0:23:26.920 --> 0:23:30.320
<v Speaker 1>an hour. If I want to hire a coder in Pakistan,

0:23:30.560 --> 0:23:33.320
<v Speaker 1>I might pay them nine to fourteen dollars an hour. Right.

0:23:33.320 --> 0:23:35.840
<v Speaker 1>If I want to hire a legal researcher in Europe

0:23:35.840 --> 0:23:38.200
<v Speaker 1>and Eastern Europe, maybe I pay them fifteen to twenty

0:23:38.200 --> 0:23:40.399
<v Speaker 1>five bucks an hour. But how much does it cost

0:23:41.200 --> 0:23:44.840
<v Speaker 1>for me to have an AI agent hire another AI agent.

0:23:45.240 --> 0:23:48.040
<v Speaker 1>Will they charge more based off of their expertise? How

0:23:48.080 --> 0:23:51.360
<v Speaker 1>much will they charge, Well, they're going to be charging

0:23:52.080 --> 0:23:54.719
<v Speaker 1>the cost will to cover their costs? Well, what are

0:23:54.720 --> 0:23:57.919
<v Speaker 1>the costs? Well, I guess one to program the agent.

0:23:58.280 --> 0:24:01.840
<v Speaker 1>Number two, it's the cost of the power, their electricity

0:24:02.520 --> 0:24:06.640
<v Speaker 1>and the compute the CPU, the GPU compute energy will

0:24:06.680 --> 0:24:08.320
<v Speaker 1>be the costs they're going to have to pay. But

0:24:08.400 --> 0:24:12.040
<v Speaker 1>here's the problem. Our traditional financial system that we have

0:24:12.119 --> 0:24:15.000
<v Speaker 1>today is not set up to do this. It will

0:24:15.000 --> 0:24:17.320
<v Speaker 1>not work for what these are doing. And it's not

0:24:17.359 --> 0:24:19.320
<v Speaker 1>a future thing. This is right now today. As I

0:24:19.359 --> 0:24:21.640
<v Speaker 1>just showed you, an AI agent just went and bought

0:24:21.680 --> 0:24:24.320
<v Speaker 1>a domain with bitcoin lightning right now. But it can't

0:24:24.320 --> 0:24:27.600
<v Speaker 1>work with the traditional financial system because the traditional financial

0:24:27.640 --> 0:24:30.680
<v Speaker 1>system has way well it's just too archaic closer you

0:24:30.720 --> 0:24:33.960
<v Speaker 1>say that, way too much friction. So, for example, the

0:24:34.000 --> 0:24:37.639
<v Speaker 1>current FIAT and KYC, which is know your customer systems

0:24:37.880 --> 0:24:43.199
<v Speaker 1>are designed for humans inherently excluding AI agents. So in

0:24:43.280 --> 0:24:45.679
<v Speaker 1>order to get a bank account, a debit card, a

0:24:45.720 --> 0:24:47.840
<v Speaker 1>credit card, a Venmo account, you have to be a

0:24:47.880 --> 0:24:51.760
<v Speaker 1>human and you have to pass KYC and AML regulations.

0:24:52.040 --> 0:24:55.880
<v Speaker 1>It's set up specifically to not allow agents to have that. However,

0:24:56.160 --> 0:24:59.639
<v Speaker 1>the stringent KYC, the Know Your Customer requirements, and FIAT

0:24:59.640 --> 0:25:05.680
<v Speaker 1>system inherently exclude AI agent's So AI agents can't work

0:25:05.680 --> 0:25:09.359
<v Speaker 1>in the traditional financial system, but it's here. They're change

0:25:09.400 --> 0:25:12.400
<v Speaker 1>in the world. There's no stopping it. So then what happens,

0:25:13.400 --> 0:25:16.440
<v Speaker 1>Like I said, there's so much friction? What kind of friction? Well,

0:25:16.480 --> 0:25:18.639
<v Speaker 1>we can see here financial service is built on the

0:25:18.640 --> 0:25:23.240
<v Speaker 1>assumption that there's an accountable, legally recognized human or at

0:25:23.320 --> 0:25:27.600
<v Speaker 1>least a corporate entity behind every transaction. Who's liable? Right

0:25:28.680 --> 0:25:32.240
<v Speaker 1>as an AI agent operates independently, it doesn't easily fit

0:25:32.359 --> 0:25:38.880
<v Speaker 1>into these frameworks, making compliance both technically challenging and legally uncertain.

0:25:38.920 --> 0:25:42.480
<v Speaker 1>Who are we going to sue? Who's liable? A solution

0:25:42.880 --> 0:25:47.080
<v Speaker 1>that sidesteps the limitations of traditional finance while addressing security

0:25:47.720 --> 0:25:52.000
<v Speaker 1>is of course bitcoin, so we can sidestep this. Now,

0:25:52.040 --> 0:25:53.720
<v Speaker 1>there's a couple of things that we can think about here.

0:25:54.680 --> 0:25:57.119
<v Speaker 1>Why not credit cards? Mark Well, the credit card system

0:25:57.160 --> 0:26:00.439
<v Speaker 1>simply isn't built for machine to machine payments, is riddled

0:26:00.440 --> 0:26:06.400
<v Speaker 1>with inefficiencies, high transaction fees, and privacy compliance issues. It's

0:26:06.520 --> 0:26:10.760
<v Speaker 1>unsuitable for autonomous agents. You may not know this, but

0:26:11.080 --> 0:26:13.720
<v Speaker 1>it's pretty much impossible to send somebody somewhere else in

0:26:13.720 --> 0:26:18.520
<v Speaker 1>the world like thirty five cents. Transactions cost more than that. Now,

0:26:18.680 --> 0:26:21.680
<v Speaker 1>what happens when these AI agents are making these micro transactions,

0:26:21.720 --> 0:26:24.280
<v Speaker 1>When they're doing so one hundred times a day or

0:26:24.320 --> 0:26:28.119
<v Speaker 1>one thousand times a day, that fifty dollars one hundred

0:26:28.119 --> 0:26:30.640
<v Speaker 1>dollars could get eaten up in fees with one hundred

0:26:30.760 --> 0:26:34.800
<v Speaker 1>or a thousand transactions back and forth. It's unsuitable. There's

0:26:34.840 --> 0:26:40.320
<v Speaker 1>no compliance, there's no liability or legality there. Furthermore, blockchain

0:26:40.320 --> 0:26:44.280
<v Speaker 1>transparency and immutability. The immutability of the blockchain meaning once

0:26:44.280 --> 0:26:46.520
<v Speaker 1>I make the transaction, I can't be charged back, offer

0:26:46.560 --> 0:26:50.199
<v Speaker 1>a unique advantage. Every transaction executed by the AI is

0:26:50.240 --> 0:26:53.240
<v Speaker 1>recorded on chain, so now we have a transparent layer.

0:26:53.440 --> 0:26:55.560
<v Speaker 1>Then we can see all the transactions that are happening.

0:26:55.720 --> 0:26:58.679
<v Speaker 1>This makes crypto wile it's a suitable infrastructure for autonomous

0:26:58.720 --> 0:27:03.720
<v Speaker 1>agents in the finance world, meaning it's the only way.

0:27:04.520 --> 0:27:07.560
<v Speaker 1>You have to understand that as technology changes, it doesn't stop.

0:27:08.080 --> 0:27:12.840
<v Speaker 1>It doesn't wait for things to change. Technology is what

0:27:12.960 --> 0:27:17.720
<v Speaker 1>changes things. Back in the gunpowder Revolution in the fifteen hundreds.

0:27:18.880 --> 0:27:20.919
<v Speaker 1>All of a sudden it changed the balance of power.

0:27:21.000 --> 0:27:24.440
<v Speaker 1>Were one person one surf with a gun could take

0:27:24.480 --> 0:27:27.560
<v Speaker 1>out one hundred nights. And when the gunpowder Revolution starts

0:27:27.560 --> 0:27:30.040
<v Speaker 1>sweeping across the world, it wasn't like a nice to have.

0:27:30.280 --> 0:27:32.240
<v Speaker 1>It wasn't like, well maybe i'll have guns or I won't.

0:27:32.280 --> 0:27:35.000
<v Speaker 1>It was like you better have it. It's what changed

0:27:35.000 --> 0:27:37.320
<v Speaker 1>the world. It didn't wait for things. And the AI

0:27:37.400 --> 0:27:40.399
<v Speaker 1>agents are here. They're changing things in the system that

0:27:40.440 --> 0:27:42.840
<v Speaker 1>we have now won't work and this is all inevitable,

0:27:42.920 --> 0:27:45.720
<v Speaker 1>all right now, The real catalyst of all of this

0:27:46.280 --> 0:27:50.480
<v Speaker 1>is bitcoin plus AI. You see, when technology advances the world,

0:27:50.480 --> 0:27:53.520
<v Speaker 1>it's not about a single technology, it's about multiple things

0:27:53.560 --> 0:27:56.119
<v Speaker 1>coming together to give us a new set of building

0:27:56.119 --> 0:27:59.000
<v Speaker 1>blocks to build things that we've never imagined. So, for example,

0:27:59.000 --> 0:28:01.400
<v Speaker 1>it wasn't just the automobile. If we had the automod bile,

0:28:01.480 --> 0:28:03.800
<v Speaker 1>we had no oil and oil fuels, we couldn't drive it.

0:28:04.119 --> 0:28:06.359
<v Speaker 1>If we didn't have mass production, we couldn't make them.

0:28:06.600 --> 0:28:09.159
<v Speaker 1>So we have to get these clusters of technology that

0:28:09.200 --> 0:28:11.560
<v Speaker 1>come together. So really the catalyst is how bitcoin and

0:28:11.720 --> 0:28:15.080
<v Speaker 1>AI come together. Now you might be asking yourself, Mark,

0:28:15.520 --> 0:28:20.199
<v Speaker 1>why Bitcoin? Why Bitcoin? Well, first of all, it's not

0:28:20.280 --> 0:28:28.440
<v Speaker 1>only borderless and censors resistant and immutable, permissionless, it's also personless. Right,

0:28:28.560 --> 0:28:31.080
<v Speaker 1>so again you can't get a bank account or Venmo

0:28:31.160 --> 0:28:35.199
<v Speaker 1>account without being a person. But bitcoin is personless. The

0:28:35.240 --> 0:28:37.080
<v Speaker 1>other reason, well, you might say, but what about the

0:28:37.080 --> 0:28:39.680
<v Speaker 1>other two point four million cryptos that are out there,

0:28:39.680 --> 0:28:43.360
<v Speaker 1>because those could be personalless. Also, well, bitcoin is the

0:28:43.400 --> 0:28:47.640
<v Speaker 1>only one that's really energy backed. It's an energy back system. Now,

0:28:47.960 --> 0:28:50.680
<v Speaker 1>remember what is the cost for AI agents to hire

0:28:50.720 --> 0:28:54.400
<v Speaker 1>other AI agents the cost of their energy. So AI

0:28:54.480 --> 0:28:56.280
<v Speaker 1>is going to understand this very well. They're going to

0:28:56.360 --> 0:28:59.960
<v Speaker 1>understand that one is a decentralized system that nobody can control,

0:29:00.040 --> 0:29:02.600
<v Speaker 1>nobody can censor, nobody can change, and there's a true

0:29:02.680 --> 0:29:06.200
<v Speaker 1>cost of input and economic energy input into it. And

0:29:06.240 --> 0:29:10.320
<v Speaker 1>they're going to demand having an economic energy input money

0:29:10.400 --> 0:29:14.560
<v Speaker 1>as well. We can see that it's also instant, it's borderless.

0:29:14.720 --> 0:29:16.720
<v Speaker 1>And really we have to understand history. We have to

0:29:16.800 --> 0:29:18.880
<v Speaker 1>understand these technology cycles. You see me to use these

0:29:18.920 --> 0:29:22.840
<v Speaker 1>charts before. Now, technology cycles they happen about every fifty years.

0:29:22.880 --> 0:29:26.080
<v Speaker 1>I call them quantum waves, and they have these four

0:29:26.360 --> 0:29:30.800
<v Speaker 1>distinct periods that happen. Each one of these cycles has

0:29:30.840 --> 0:29:34.840
<v Speaker 1>its own unique attributes. In this cycle from twenty thirty

0:29:34.880 --> 0:29:37.320
<v Speaker 1>to twenty forty, which we'll be going into in the

0:29:37.360 --> 0:29:40.440
<v Speaker 1>next couple of years, is really what's called the adoption

0:29:40.560 --> 0:29:42.360
<v Speaker 1>or the synergy phase. Remember I talked about the S

0:29:42.480 --> 0:29:45.680
<v Speaker 1>curve before. You can see how the S curve sort

0:29:45.720 --> 0:29:49.040
<v Speaker 1>of fits over this. See that this is the adoption wave.

0:29:49.200 --> 0:29:54.080
<v Speaker 1>So this is where bitcoin really becomes as adopted as

0:29:54.200 --> 0:29:57.880
<v Speaker 1>this medium of exchange. Remember, all things or money, I

0:29:57.920 --> 0:30:01.080
<v Speaker 1>should say, is always an evolutionary process. So it starts

0:30:01.120 --> 0:30:04.520
<v Speaker 1>as a collectible. It could evolve, not always, but sometimes

0:30:04.520 --> 0:30:05.920
<v Speaker 1>evolves to a store value.

0:30:06.080 --> 0:30:07.640
<v Speaker 2>This is where we're at right now.

0:30:08.040 --> 0:30:10.880
<v Speaker 1>In this next phase, it becomes the medium of exchange.

0:30:11.320 --> 0:30:14.720
<v Speaker 1>It's where it becomes that transaction layer, and it eventually

0:30:14.800 --> 0:30:17.280
<v Speaker 1>becomes what we call a unit of account. Now, a

0:30:17.320 --> 0:30:19.640
<v Speaker 1>lot of people would say, well, why aren't we using

0:30:19.680 --> 0:30:22.360
<v Speaker 1>bitcoin for transactions? Now? Where can I go to the

0:30:22.400 --> 0:30:24.120
<v Speaker 1>store and buy my groceries with it? Or why am

0:30:24.120 --> 0:30:26.320
<v Speaker 1>I not buying coffee with it? All of these things,

0:30:26.320 --> 0:30:29.800
<v Speaker 1>And it's well, I would say, you fail to understand history,

0:30:30.000 --> 0:30:33.600
<v Speaker 1>and understand monetary history specifically. Now, of course, she has

0:30:33.800 --> 0:30:36.680
<v Speaker 1>seto sheet. I did say that bitcoin is a peer

0:30:36.680 --> 0:30:39.360
<v Speaker 1>to be electronic cash system, But as I just showed you,

0:30:39.560 --> 0:30:43.080
<v Speaker 1>there's an evolutionary process to this that takes us and

0:30:43.120 --> 0:30:44.760
<v Speaker 1>we have to go through EA stage one by one.

0:30:44.920 --> 0:30:46.880
<v Speaker 1>And what I'd say is, if you don't understand history,

0:30:46.920 --> 0:30:47.680
<v Speaker 1>you're bound to repeat it.

0:30:47.680 --> 0:30:49.440
<v Speaker 2>There's something called Gresham's.

0:30:48.960 --> 0:30:51.440
<v Speaker 1>Law, and the Gresham's law is that good money drives

0:30:51.480 --> 0:30:54.120
<v Speaker 1>out bad and so what that means is that as

0:30:54.120 --> 0:30:56.160
<v Speaker 1>long as there's bad money to use, I'll save the

0:30:56.160 --> 0:30:59.160
<v Speaker 1>good money. So if you're like a gold bug, for example,

0:30:59.200 --> 0:31:02.440
<v Speaker 1>you might know that up until in nineteen sixty five

0:31:03.240 --> 0:31:05.680
<v Speaker 1>in the United States, quarters and dimes were made of

0:31:05.720 --> 0:31:09.000
<v Speaker 1>real silver. Now you won't find a pre sixty five

0:31:09.080 --> 0:31:12.200
<v Speaker 1>quarter of diamond circulation today. You just you never get them.

0:31:12.360 --> 0:31:15.280
<v Speaker 1>Why is that because they've all been removed. Why is

0:31:15.320 --> 0:31:17.880
<v Speaker 1>that because people want to save them. Now, if for

0:31:17.920 --> 0:31:20.200
<v Speaker 1>some reason you just happened accidentally to get a pre

0:31:20.320 --> 0:31:23.000
<v Speaker 1>sixty five quarter a dime, would you spend it? And

0:31:23.040 --> 0:31:25.240
<v Speaker 1>the answer is of course no, you wouldn't. You'd be ridiculous.

0:31:25.280 --> 0:31:27.520
<v Speaker 1>Today you're going to save it because you can easily

0:31:27.520 --> 0:31:29.960
<v Speaker 1>spend the bad money and So that's exactly what we're

0:31:30.000 --> 0:31:33.800
<v Speaker 1>talking about here with bitcoin. In this case, it's evolving.

0:31:34.000 --> 0:31:35.520
<v Speaker 1>But as long as we can use FIAT, we're going

0:31:35.560 --> 0:31:36.360
<v Speaker 1>to continue to use it.

0:31:36.560 --> 0:31:39.040
<v Speaker 2>But the AI agents cannot.

0:31:39.560 --> 0:31:42.280
<v Speaker 1>That's what pushes the use case of this, meaning exchange,

0:31:42.360 --> 0:31:45.480
<v Speaker 1>when we can only use that instead of the other thing. Now, Also,

0:31:45.480 --> 0:31:49.160
<v Speaker 1>if you're in a Afghanistan, you're in North Korea, maybe

0:31:49.200 --> 0:31:51.400
<v Speaker 1>even you're in El Salvorey, you can't afford a bankccout.

0:31:51.400 --> 0:31:53.320
<v Speaker 1>There are other reasons why you could use bitcoin today.

0:31:53.720 --> 0:31:56.360
<v Speaker 1>But on a whole, when we're talking about mass adoption,

0:31:56.720 --> 0:31:59.960
<v Speaker 1>I believe this is the catalyst. Okay, now this all

0:32:00.200 --> 0:32:04.800
<v Speaker 1>sounds really scary, right. Your job's at risk, and I

0:32:04.880 --> 0:32:09.440
<v Speaker 1>mean that literally, even if you're an entrepreneur, even if

0:32:09.440 --> 0:32:12.960
<v Speaker 1>you're a doctor, high praise, high paid professional, you're probably

0:32:13.000 --> 0:32:15.920
<v Speaker 1>still at risk. So what does this mean, Well, a

0:32:15.960 --> 0:32:18.160
<v Speaker 1>couple things. Number One, we've got a couple of years.

0:32:18.960 --> 0:32:21.920
<v Speaker 1>This is happening really really fast, but we probably have

0:32:21.920 --> 0:32:23.880
<v Speaker 1>a couple of years. So what does that mean. Well,

0:32:23.920 --> 0:32:27.160
<v Speaker 1>I believe over the next three four years we have

0:32:27.240 --> 0:32:30.200
<v Speaker 1>this massive opportunity for investment to make a lot of money.

0:32:30.400 --> 0:32:32.760
<v Speaker 1>So you have a couple of years to make it

0:32:32.760 --> 0:32:35.320
<v Speaker 1>as much money as you can, because I don't know

0:32:35.320 --> 0:32:36.680
<v Speaker 1>what the world looks like on the other side of that,

0:32:36.840 --> 0:32:38.959
<v Speaker 1>all right, I don't know what the economy looks like

0:32:39.080 --> 0:32:41.920
<v Speaker 1>when all these get disrupted. What history shows us is

0:32:41.920 --> 0:32:46.480
<v Speaker 1>that when these new technologies come out, this creative disruption happens, happens,

0:32:46.760 --> 0:32:50.040
<v Speaker 1>and it creates problems. Now, it's not forever. I'm not

0:32:50.080 --> 0:32:52.520
<v Speaker 1>saying that there's no jobs for humans in the future.

0:32:52.560 --> 0:32:55.000
<v Speaker 1>I don't believe that at all. I believe that AI

0:32:55.200 --> 0:32:56.760
<v Speaker 1>is a tool and as humans, we just have to

0:32:56.840 --> 0:32:57.800
<v Speaker 1>learn how to use the tool.

0:32:57.920 --> 0:33:00.760
<v Speaker 2>But it can cause period of disruption.

0:33:01.120 --> 0:33:03.480
<v Speaker 1>For example, in the Industrial Revolution, when everybody worked in

0:33:03.520 --> 0:33:04.960
<v Speaker 1>the farm and then we had machines that could do

0:33:05.040 --> 0:33:06.840
<v Speaker 1>the work of thousands of men. What did all those

0:33:06.880 --> 0:33:07.560
<v Speaker 1>thousands of men do.

0:33:08.520 --> 0:33:09.920
<v Speaker 2>Well, Temporarily they didn't do.

0:33:09.960 --> 0:33:12.560
<v Speaker 1>Anything, but eventually went on to do higher value things

0:33:12.600 --> 0:33:15.840
<v Speaker 1>like science and medicine. So there's this temporary disruption.

0:33:16.320 --> 0:33:17.280
<v Speaker 2>But don't worry.

0:33:17.400 --> 0:33:19.640
<v Speaker 1>There's no future that I can see in the world

0:33:19.760 --> 0:33:23.120
<v Speaker 1>where humans no longer have problems. As long as there's problems,

0:33:23.360 --> 0:33:26.720
<v Speaker 1>there's solutions, there are services, and there's products for those things.

0:33:27.560 --> 0:33:30.080
<v Speaker 1>So we have a few years, so get your money

0:33:30.160 --> 0:33:32.840
<v Speaker 1>right while you can. Number two, you want to stack

0:33:33.000 --> 0:33:35.800
<v Speaker 1>your skills. So if you're that gig worker and you

0:33:35.880 --> 0:33:38.600
<v Speaker 1>have a skill, that's great. You know how to do

0:33:38.640 --> 0:33:41.240
<v Speaker 1>the research or the copywriting, you know how to do

0:33:41.280 --> 0:33:44.240
<v Speaker 1>the bookkeeping, that's great. But if you have one skill,

0:33:44.440 --> 0:33:46.520
<v Speaker 1>you'll be the first to be replaced. If you have

0:33:46.840 --> 0:33:49.120
<v Speaker 1>multiple skills that are stacked up, you're going to be

0:33:49.120 --> 0:33:51.040
<v Speaker 1>able to buy yourself some time. It's going to be

0:33:51.040 --> 0:33:53.880
<v Speaker 1>a while before these agents get so far advanced, so

0:33:53.960 --> 0:33:57.440
<v Speaker 1>really learn to stack your skills up on top of themselves.

0:33:57.560 --> 0:33:59.320
<v Speaker 1>The one thing I don't think the AIA agents will

0:33:59.360 --> 0:34:02.920
<v Speaker 1>be able to do is place our creativity. So stack

0:34:02.960 --> 0:34:04.680
<v Speaker 1>ups many skills as you can, and learn how to

0:34:04.760 --> 0:34:08.640
<v Speaker 1>apply them, create creatively to different solutions or as solutions

0:34:08.680 --> 0:34:11.560
<v Speaker 1>to different problems. And then finally stack your SATs. Stack

0:34:11.600 --> 0:34:13.840
<v Speaker 1>your skills, and stack your SATs. I'm talking about bitcoin

0:34:13.880 --> 0:34:16.920
<v Speaker 1>of course in this example, so we know that bitcoin

0:34:17.080 --> 0:34:19.840
<v Speaker 1>is only going up from here based off of this information.

0:34:19.880 --> 0:34:21.560
<v Speaker 1>Of course, if you believe it, and so you might

0:34:21.560 --> 0:34:23.360
<v Speaker 1>want to be stacking your SATs, and that's going to

0:34:23.400 --> 0:34:25.440
<v Speaker 1>be the way that you'll be able to defend yourself

0:34:25.480 --> 0:34:28.640
<v Speaker 1>against the technology that's happening. All right, hopefully that makes sense. Again,

0:34:28.680 --> 0:34:31.360
<v Speaker 1>this is super exciting for me. I'm using this stuff

0:34:31.400 --> 0:34:33.880
<v Speaker 1>in real life and it is making a massive impact

0:34:33.880 --> 0:34:36.640
<v Speaker 1>in my business. And you can either use it or

0:34:36.680 --> 0:34:38.319
<v Speaker 1>get left bind. Let me know which one you're gonna do.

0:34:38.520 --> 0:34:40.640
<v Speaker 1>Use it or get left bind. Lead me a comment

0:34:40.680 --> 0:34:42.680
<v Speaker 1>down below, let me know which one. Of course, give

0:34:42.680 --> 0:34:43.920
<v Speaker 1>me thumbs up if you like the video. If you don't,

0:34:43.920 --> 0:34:45.560
<v Speaker 1>you can give me thumbs down. That's okay, but at

0:34:45.600 --> 0:34:47.719
<v Speaker 1>least tell me why in the comments. That's what I got,

0:34:47.760 --> 0:34:50.000
<v Speaker 1>all right, see your success. I'm out.