Your AI Skills Will Be Worthless in 5 Years (Do This Instead)

Flush forward to 2035. You are scrolling

through Axe on a latest Sunday

afternoon. You see a post from someone

who vaguely remember. Maybe you went to

school with them. Maybe you worked

together once. Just hit 10 million net

worth. Started my AI company in 2025.

Sold it last year. Retired at 38. Life

is good. You feel something twist in

your stomach because you remember when

you both watched the same YouTube videos

about AI in 2025. You both saw it

coming. The difference they took action.

You kept learning. So now they are in

the 1% and you you are part of the 95%

the 95% who will become what experts are

now calling AI farmers. This might be

the most important video you ever watch.

Not because I'm special, not because I

have some secret, but because I'm going

to show you something that most people

won't see until it's too late. The world

is splitting into two groups right now.

Today as you watch this, 1% will become

the tech outlet. They will own AI. They

will own the capital. They will own the

future. 95% will become AI farmers. They

will work for the 1% that will have no

capital that will have no leverage. And

most people have absolutely no idea

what's about to hit them. But you're

different. I'm going to give you a

superpower. Not vague predictions, not

sci-fi fantasies. The actual timeline,

the actual economic transformation. and

most importantly your survival plan. You

have exactly 10 years to choose which

side you are on. The clock is ticking.

Let's begin. To understand why your job,

your skills, your entire career might be

worthless in 10 years. You need to talk

about something that sounds like science

fiction, but it's not. Agi, artificial

general intelligence. A machine can do

everything a human can do interactually,

not just playing chess or recognizing

images. everything. Now, until about 2

years ago, most experts believe AGI was

conceptually impossible or at least

centuries away. But now, even the most

conservative estimates, say 20 years.

Let me put this in perspective. 20 years

in 2045, if you are watching this video,

you will be alive in 2045. 10 years is

2035. You will definitely be alive. And

5 years is 2030. That's basically

tomorrow. This isn't some distant sci-fi

future. This is happening is your

lifetime. Agi, a machine that can do

everything humans can do interactually

is coming. And when it arrives,

everything changes. But what does this

actually mean for you? Let me break it

down. For the past 100 years, the

economy has worked like this.

Productivity equals labor multiplied by

capital. To produce more stuff, you need

more labor, workers, and more capital.

Machines, factories, money, both matter.

But when Agi arrives, something breaks.

Labor supply becomes infinity. Why?

Because AI can do all the intellectual

work. You don't need to hire more

people. You just spin up more AI agents.

So, the formula becomes labor doesn't

matter anymore. Only capital matters.

Now you might be thinking okay Chris

that's fascinating but what does this

have to do with my life everything

because if labor supply is infinity what

happens to value of labor it drops to

zero your skills worthless your

education worthless your experience

worthless because an AI can do it better

faster and for nearly free but Chris

people have been saying this for decades

robots will take our jobs and it never

happens. But this time is different.

Previous automation replaced physical

labor. Tractors replaced farm workers.

Factories replaced craftsman. But humans

could always move up to knowledge where

AGI replaced knowledge work. There's

nowhere to move up to. And this brings

us to most important insight of this

entire video. In the AGI era, society

splits into three tiers. Tier one, the

1% tech. These are the people who own

the AI, the people who own the data

centers, the computer, the models. Sam

Alman, Il Musk, Mark Zuckerberg,

Zenuang, they own the infrastructure of

the AGI era. And because they own the

capital, they own everything. Remember,

productivity equals capital. In the AGI

era, they have the capital. So, they

have the old productivity. Tier two, the

4% superstars. These are the mega

celebrators, the influencer with global

reach. People who have built such strong

personal brands that they can't be

replaced by AI. They are not valuable

because of their skills. They are

valuable because of their audience. Tier

three, the 95% AI farmers. Everyone

else, these are people who don't own

capital, don't have massive audience.

They work for 1%. They consume the

content from the 4%. They are called AI

farmers because they are like farmers in

the agricultural age. They do the work

that AI can't do yet or work that's not

worth automating. And here's the scary

part. Most people watching this video

right now are on track to became AI

farmers. Not because they are not smart,

not because they are not hardworking,

but because they are making one critical

mistakes. They are learning instead of

executing. Here's a brut of truth that

nobody wants to say out loud. You don't

have time to keep learning. I know that

sounds crazy. Don't learn. But Chris,

you are always talking about AI. Let me

clarify. In 10 years, labor becomes

worthless. Only capital survives. Your

skills that will be worthless. You're

learning NAN right now. Cool. In one

year, that skill is trash. New tools

will replace it. You are learning prompt

engineering. Great. In six months, AI

won't need prompts anymore. The half

life of technical skills is getting

shorter and shorter. In 90s, if you

learn JavaScript, that skills was

valuable for 10 plus years. 2010s, if

you learn React, that skills was

valuable for 5 years. In the 2020s, if

you learned at AI tool, that skills is

valuable for maybe one year. So, what

does survive? Capital, money, asset,

equity, ownership. So the question isn't

what should I learn the question is how

do I build capital before AGI arrives

and here's the answer not by learning

not by floating in communities not by

taking more courses build your business

now even if you don't have anything even

if you fail even if your businesses

breaks and burns that's how you build

capital before AGI arrives but most

people won't do this you know why

because they think they need to get

ready first. They think they need to

learn more. They think they need to

perfect idea. And that's exactly the

mistake. That's killing Apple right now.

Let me tell you a story about a company

called Nokia. If you are under 25, you

might not even remember Nokia. But at

one point, Nokia have 80% of global

mobile phone market. 80%. These are

untouchable, dominant. Everyone had a

Nokia phone. And here's the crazy part.

One week before Nokia went bankrupt,

Nokia's top executives got together for

a meeting. They were drinking coffee

planning the next 30 years of the

company. 30 years. One week later, Nokia

was gone just like that. What happens?

Noia was a phone company. They were the

best at making phones. But they didn't

understand smartphones because

smartphones aren't phones. They were

computers that happened to make calls.

Akia kept trying to make better phone.

Apple made a computer you could fit in

your pocket. And this brings us today

because the exact same pattern is

happening right now. And the company

that's about to die, Apple. Now, before

I explain why Apple is doomed, I need to

tell you something personal. I'm a huge

Apple fan. Every device I own is Apple.

MacBook iPhone iPad AirPods Apple

Watch. I'm deep in the ecosystem. I even

have Steve Jobs quote tattooed on my

hand here. Stay hungry and stay foolish.

I love Apple. I love what Steve Jobs

built. But here's what I did noticed

over the past two years. Apple is

optimizing for perfection. Meta is

optimizing for execution. And in the AI

era, execution wins. Let me explain.

Flaw number one, cursor problem.

Perfection over execution. Apple has

never been a first mover. Never. M3

players existed before the iPod. Apple

made it better. Smartphones existed

before the iPhone. Apple made it better.

Tablets existed before the iPad. Apple

made it better. Apple's strategy has

always been let others go first, learn

from their mistakes, then release a

perfect version. This worked beautifully

in the smartphone era. Before the

iPhone, we had the LG Prada phone and

Samsung Omnia. They were terrible,

crunky, slow. Touch screens didn't work

well. Then Apple came in with the iPhone

and perfected it. But AI is different.

AI requires showing incomplete work,

gathering data, and iterating fast. You

can't wait until it's perfect because by

the time it's perfect, you are already 2

years behind. This is exactly my

business philosophy. I don't wait for

perfect. I execute, gather data, adjust,

execute again. I break it down into

three simple modules. Hypothesis, what

do I think will work? Execution, test it

in reality. Data, what did I learn,

adjust, and repeat? Meta is doing this

right now. Max Juckerberg is releasing

AI features that are incomplete. Buggy

not perfect but he's gathering data,

learning, iterating. Meta AI in wash app

not perfect but it's out there. Millions

of people using it generating data.

Rayan Meta smart classes not perfect but

they shipped it. They are learning. Lama

3, Lama 4, open source AI models not

perfect but they will iterating fast.

Apple Apple Intelligence was announced

in June 2024. It's now 2025. Still not

fully lled out. Why? Because it's not

perfect yet. By the time Apple release

something perfect, Meta will be five

versions ahead. That's the cursor

problem. Fellow number two, talented

problem. Closed versus open. Here's the

second problem. Apple can't attack top

AI talent. Why? Because Apple is a

closed company. When you join Apple as a

researcher, you can publish it papers.

Everything is a secret. Everything is

patented and kept in. But in the field

of artificial intelligence, the cursure

is open source. When you develop

something, you upload the source code to

GitHub and you publish it paper and you

share your work. Why? Because that's how

the field advances. Someone in San

Francisco creates a breakthrough. One

hour later, researchers in Randon,

Tokyo, have downloaded the code and are

building on it. This is why AI has

developed so quickly. But Apple can't

accept this open source cursor. So what

happens as the AI field takes off?

There's an overflow of companies where

AI experts can go open AI, Google deep

mind, entropic, meta startups agree. Why

would a top AI researchers go to Apple?

The moment you go to Apple, you

disappearing into a black hole. You

can't publish. You can't share your

work. You can't build your reputation.

for an AI scientist who wants to make a

name for themselves. Apple is career

suicide and we are seeing this play out

in real time. Just a few months ago, one

of Apple top AI researchers left to join

Meta. He was one of the few A+ level AI

experts Apple had gone. Apple doesn't

have a worldclass AI research team. They

have some smart people but not the best

people. And in AI, the best people

matter. Flaw number three, readership

problem. No port bats.

>> Tim Cook is a brilliant operations and

logistics expert. He optimized Apple's

supply chain and made Apple the most

profitable company in the world after I

died. But he's not a visionary. I was

>> Steve Jobs was a visionary. Steve Jobs

could walk into a loom of 10,000

employees and say,

>> "We're killing this product line. We're

betting everything on this because this

is not the future I am seeing in the

next 5 to 10 years. Who's with me?"

>> And people would follow him. When Steve

Jobs introduced the iPhone, he killed

the iPod, Apple's most successful

product. Why? Because he saw the future.

Tim Cook doesn't have that. AI requires

investment that go beyond imagination.

Mark Jakov is offering 140 million

bonuses to bring in one AI expert from a

competitor. 140 million for one person

plus their annual salary. That's 280

million total to bring in one person.

Can you imagine Tim Cook making that

decision? Can you imagine him going to

Apple's board and saying we are paying

280 million for one researcher? No. And

that's why Apple will lose. Let's

constraint this with Meta. Meta is going

all in on AI. They've spent over 30

billion on AI infrastructure in the past

year alone. They are building massive

data centers filled with hundreds of

thousands of GPUs. They are hiring

aggressively paying whatever it takes

and they are executing. Rayban Meta

smart glasses launched it in 2023. Are

they perfect? No. But they are out

there. People are using them. Meta is

gathering data. A few months ago, Meta

released Oreo. Their AR glasses

prototype full holographic display looks

like normal glasses. It's not ready for

consumer yet, but they showed it. Why?

To attract talent to signal where they

are going to gather feedback. This is

execution focused curture. Ship it,

learn it, iterate, ship again. Apple

would never show a prototype that's not

ready and that's why they will lose. So

what does Apple's death have to do with

you? Everything because Apple's mistake

is your mistake. Apple's mistake waiting

for perfect your mistake. Same thing

you've been learning AI for six plus

months is chatbt clothe cursor make nad.

You have built demos. You have taken

courses, watch it hundreds of YouTube

videos, but you are at zero. Why? Not

because you don't know enough. Because

you are not executing. You are being

apple waiting for perfect, waiting to be

ready. Don't be Apple, be meta. Execute,

get data, iterate, execute again.

Because here's the truth. The word

doesn't reward perfection. The word

reverse execution. And nowhere is this

more true than in the next 10 years. So

we've established three things. One, hi

is coming in 5 to 20 years. Labor

becomes worthless. Only capital

survives. Two, society split into 1%

tech alley, 4% the superstars, and 98%

of AI farmers. And three, execution

perfection. Apple is dying because they

wait. Meta is winning because they

execute. But there's a four things you

need to understand and it's the most

important thing. You have a 10year

window. 10 years to build the capital

before hi arrives. 10 years position

yourself in the 1% instead of 95%. But

this window is closing faster than you

think. Let me show you why. The world is

changing right now. Not in 10 years. Now

think about the last major shift feature

phones to smartphones. That shift

created trillion dollar companies

overnight. Apple, Google, Facebook,

Uber, Instagram. The people who

positioned themselves early in that

shift become billionaires. The people

who waited, they became employees. We

are at the exact same moment right now.

But this time the shift is smartphones

to AI devices. And just like Nokia

didn't see smartphones coming, most

people don't see AI devices coming. In

10 years, you won't be starting at your

phone. You will be wearing AI glasses,

AI assistant, list bad or watch phone in

your pocket. This isn't a science

fiction. Meta just released their Orient

glasses full holographic. Apple is

working on their version. Google,

Samsung, everyone is racing to build

this. And what this shift happens,

everything changes. Here's what most

people don't understand. Every

businesses will need AI agent. Every

businesses will need someone who can

build those. Every business will need

someone who can manage those just like

every business needed social media in

2010. Every business will need AI in

2030. And the people who know how to

build and sell AI right now, they are

going to own this market. The people who

wait until 2030 to learn, they will be

customers, not businessmen. They will be

98% not the 1%. This is why 10year

window matters. Not because AGI arrives

in 10 years, but because the opportunity

to build capitals is right now. In five

years, this market will be saturated. In

10 years, it will be too late. The time

to move is now. So, you have a choice to

make. Spend the next 10 years learning

AI, learning automation, learning,

learning, learning, watching YouTube

tutorials, taking courses, floating in

Discord servers. Your job is gone.

Automated by AI. Your skills are

worthless replaced by better tools. You

have no business, no assets, no capital.

Your position the 95%. Past two. Start

executing. Start a business now. Execute

at volume. Build capital. 10 years from

now, you've built multiple businesses.

Some fail, some succeed. You have

capital. You have assets. You have

equity. Your position the 1%. Which path

do you choose? Because here's the thing,

most people watching this video will

choose path one. They will keep

learning. They will keep waiting. They

will keep getting ready. And in 10

years, they will be in 95%. Why? Because

taking action is hard. Starting a

business is scary. Getting resactive 500

times is painful. It's much easier to

keep learning, keep watching videos,

keep telling yourself, I will start next

month. I will start tomorrow. But next

month never comes. And that's why most

people fail. Not because they are not

smart enough, not because they don't

have the skills, because they never

start. All right, let's talk about the

solution. If the problem is that people

learn instead of execute, if the problem

is that people wait instead of start,

what's the answer? The execution

framework. This is the framework I've

used to build three businesses. This is

the framework I've been refining for 6

years. This is the framework that took

me zero to opening my first office with

nine plus staff. And it's that simple.

Three steps. Step one, hypothesis. What

do I think will work? Step two,

execution. Test it in reality. Step

three, data. What did I learn? Adjust

and repeat. That's it. Not complicated,

not fancy. Just execute. Get data.

Adjust. Execute again. But before I

break down each step, let me show you

why learning doesn't work. Most people

are stuck in what I call feature hamster

wheel. Learning, building new feature

drops, learning, building. Okay, this is

the AI automation hamster wheel lof. And

here's the truth nobody tells you. This

industry is designed as an analyst lof.

Every week there's a new tool. Every

month there's a new framework. Every

quarter there's a new game changer. You

think you need to learn it all before

you can sell. But that day never come.

Let me break down the execution

framework. Step one, hypothesis. This is

where you make a guess about what will

work. Not a perfect plan, a guess. You

map your expertise first. Don't reinvent

the wheel. Pick your market. Map your

expertise. What do you already know?

Then find the AI. Leverage. How can you

deliver 10x faster than before? Then

package your offer like a software

product. Fixed the price, fixed scope,

fixed features, everything fixed. You're

not selling custom labor. You are

selling productized infrastructure. Your

output after this step, target market

will pay X dollar per month for your

productized service. That's it. One

sentence. And here's a key. Hypothesis

literally means hypothesis. Your idea

will be 90% wrong at time at first.

That's okay. You're not trying to be

perfect. You are trying to get started.

Step two, execution. This is where you

test your hypothesis in reality. Not by

building, by selling. You pre-sell

before you build. Don't waste time

building something nobody wants.

Validate fast, execute fast, and build

after you get paid. And the execution

means volume. Not 10 attempts, not 50

attempts, 500 attempts. Why 500? Because

that's when you start to see patterns.

That's when you start to understand what

works. That's when you get your first

customers. Most people quit after 10

rejections. I tried, it didn't work. No,

you didn't try. You gave up 500 attempts

means if you do 20 per day that's 25

days. If you do 30 per day that's 17

days. If you do 50 per day that's 10

days. This is not impossible. This is

just work. Step three data. Every day

you analyze conversations. Change your

angle. Execute again. Kill your ego.

Track everything. After 500 attempts you

make datadriven decisions, not gut

decisions. The data tells you two

things. Either people want what you're

selling or you need to pe immediately.

No more guessing for six months. And

this is the loop. Hypothesis execution

data adjust hypothesis execute again

over and over and over. This is how you

build a business not by learning by

executing. Let me tell you about Daniel.

Smart guy, fast learner. Met him in

Vancouver. Before I met him, he's

already spent tons of dollars on

masterminds and school communities. He

mastered AI workflows, voice agents,

automation, and the whole thing. Could

build anything, but he was still at $0.

So, what did he do? Bought another

coaching program. Spended $12,000 more.

10,000 loan plus $4,000 on his credit

card. Learned even more advanced AI

techniques. Still at $0. His execution

count zero. That's when I met him. This

is the pattern. More learning equal.

Still $0. The problem wasn't knowledge.

It was execution count. So I forced him

to execute. Week one productized his

expertise and used AI to deliver fast.

Week two, three to five warm reachouts

per day plus court outreach. After 14

days, his execution count was 180

attempts. Result 2,400 in revenue. What

did he sell? A simple dashboard using

cursor to a local restaurant. Not

perfect code, but it worked. Not by

learning more, by executing 180 times.

Same knowledge, different execution

count. That's the only difference

between $0 and revenue. Now maybe you

are thinking that's not much money. But

think about it. Daniel spent six months

only learning. This was his first step.

He got confidence. He got a full-time

development job then quit. Now he works

with me. We built all our courses

infrastructure. It started with 180

executions in 14 days. That's the

pattern. And it's not just Daniel. I

have a built three businesses using this

exact framework. Business number one,

web agency. Hypothesis: Korean startups

will pay $3,000 for three-day websites.

Execution, 30 plus emails per day. Every

government accelerator, average startup

fair. Result, first month, $20,000.

Business number two, future flow AI

hypothesis. Web agency owners will pay

$2,000 for learning agency using AI.

Execution 30 plus DMs per day. three

videos per week. Result, six months to

$50,000 month and 1,400 members and

40,000 YouTube subscribers. But here's

what I happened. I killed it. Hit

$50,000 a month. Became enterprise

educator for Samsung and LG designers.

And I killed it. Why? Because people

just learn AI and quit. Pure time

wasting. 1400 members, zero execution.

That's why I built execution squad. I

don't teach AI anymore. I force

execution. My business number three,

execution squad hypothesis. AI builders

at $0 will pay $15.99 for 28 days for

execution. Execution posted in

communities. Tons of DMs on axe. Result.

Season one launch it. Season two

starting. Same formula every time.

Execute at volume. Get data and win. And

here's the thing about this framework.

I've been adjusting it for six years.

tested new business angles, new

execution strategies, new data patterns.

This isn't theory I learned last month.

This is six years of executing

compressed into a simple framework. Let

me show you something I'm comfortable.

You six months ago learned AI for months

built demos watched tutorials execution

count is zero. Revenue $0 right side you

today still learning, still building,

still watching. Execution count still

zero. Revenue still zero. Same

knowledge, same result. Why? Because

knowledge not equal execution. Now

imagine this. You're today execution

count zero, revenue zero, stuck in

tutorial hell. And you 28 days from now,

execution count 500 plus revenue 2,000

to 5,000 or clear data to PEOT network

of executtors. Real testimonials, proven

offer. The gap isn't 6 months. It's 28

days, but only if you start now. All

right, we've covered a lot. AGI is

coming. Labor becomes worthless. Only

capital survives. Apple is dying because

they wait for perfect. Meta is winning

because they execute. You have 10 years

to build capital. The execution

framework is the path. But now I need to

tell you something that most people

don't want to hear. Something that might

make you uncomfortable, but it's the

truth. And if you can't handle the

truth, you should stop watching now.

still here. Good. Listen to me

carefully. You don't need university.

Drop out right now. You don't need a

job. That's not capital optimized. You

don't need another course. You don't

need another community. You need to

build your company. Get capital. Invest.

Repeat. That's the only way you survive

the next 10 years. Now, I know what

you're thinking. But Chris, I'm not

ready. I don't have an idea. I don't

know what business to start. Stop. You

don't need to be ready. You don't need

an idea. You don't need to know what

you're doing. You need to start. Let me

tell you something else. Your first

business idea will definitely fail. But

you know what? That's okay because every

successful entrepreneur's first business

failed too. Steve Jobs failed with Next,

came back and built the iPhone. Elon

Musk failed with Jeep 2 initially. Now

he's building rockets and AI. Japus

failed with G-Shops, then built Amazon.

Markx Jockerberg failed with face mesh

then built Facebook. They all did the

same thing. They didn't kept learning.

They kept executing fail learn execute

again fail learn execute again over and

over and over. That's the pattern. Not

learning until perfect then execute

execute fail learn execute again. And

I'm the same. My framework not perfect

and it will never be perfect. But I

believe this is the best way to start a

business. I've been adjusting this

framework for six years across three

businesses. Test new angles, new

execution strategies, new data patterns.

It's not ending. I improve this every

day because that's what execution means.

Not figure it out perfectly then start

figure it out as you go. Keep improving.

And this is what separates the 1% from

the 95%. The 1% execute with imperfect

information. The 95% wait for perfect

information that never comes. Don't be

deceived by the fake group word. $10,000

in 30 days. Six figures lunch. Passive

income while you sleep. Yeah, you can

make $10,000 in 30 days. But only if you

execute, not learn from them. These

gurus want you to keep learning. Why?

Because if you keep learning, you keep

buying. But if you start executing, you

don't need them anymore. So they keep

you in the learning loop. Just one more

course, just one more framework, just

one more secret. It never ends. Business

is reality, not happens. And reality is

brutal. And here's what will actually

happen when you start executing. You

will get rejected maybe 500 times. You

will get ignored. You will send a

message. Nobody responds. You will make

offers. Nobody cares. You will feel

alone. Your friends won't understand.

Your family will think you are crazy.

just get a normal job. You will doubt

yourself every single day. Am I good

enough? Is this even working? Should I

just quit? You will want to quit

multiple times after 10 rejections,

after 50 rejections, after 100

rejections. But you have to face

reality. This is what building a

business actually looks like. Not the

Instagram highlight reel. Not the I made

a $10,000 in 30 days post. the real

brutal painful reality. And most people

can't handle it. So they quit. They go

back to learning. They go back to their

comfort zone. And that's why they stay

at zero dollar. I'm starting a movement

while everyone else is learning AI,

watching tutorials, taking courses,

floating in communities. We are building

businesses, getting customers, making

revenue, building capital because we

understand something that most people

don't. We need capital as much as

possible before AGI arrives and the

execution framework is the only way to

extract capital from the allot class.

And I want you to join us. Let's go back

to where we start. Flash forward to

2030s. You're scrolling through X. You

see that post from someone you used to

know. Just hit $10 million net worth.

Started my AI companies in 2025. Sold it

last year. Retired at 38. Life is good.

How do you feel? Do you feel that twist

in your stomach? That regret? I could

have been that I saw the same videos. I

knew it was coming, but I didn't do

anything. Or do you feel proud because

you are the one posting that? Which one

do you pale? One of the greatest

investor of our generation once said

something that stuck with me in a world

that's changing so quickly. The biggest

risk you can take is not taking any

risk. Read that again. Most people think

playing it safe is the safe option. Keep

your job, save money, don't take risk.

But when the world is changing this

fast, playing it safe is the leisiest

thing you can do. AGI is coming. Jobs

are disappearing. The economy is

transforming and one day you will wake

up and realize the safe path led you

straight into the 95%. So the question

isn't risky to start a business. The

question is, can you afford not to? I

can't force you to take action. I can

only show you what's coming and I've

shown you. You've seen the AGI timeline.

You've seen why Apple will die.

Perfection loses to execution. You've

seen the 10 years window. Build capital

now or become an AI farmer. You've seen

the execution framework hypothesis

execution data. You've seen the brutal

reality rejection learned doubts. You

have all the information. Remember,

history doesn't care if you are ready.

It moves forward regardless. The AI

revolution is here. AGI is coming in 10

years. The clock is ticking. Stop

learning. Start executing.