This AI Business Will Make You $1M (With Zero Employees)

My name is David Andre and here are the best AI business models for 2026. So,

the world is changing. AI is improving faster than ever. New tools and new models are being released literally every week. In 2025 alone, there have

every week. In 2025 alone, there have been hundreds of different models and tools released, and it's only getting crazier. This is the greatest industry

crazier. This is the greatest industry to be in, period. We're in the middle of the largest technological revolution in history. The first industrial revolution

history. The first industrial revolution began in 1760 with the advent of the steam engine. The second one began in

steam engine. The second one began in the 1870s with the Bessemer steel converter. The third one began with the

converter. The third one began with the transistor in the 1950s and now we're in the fourth industrial revolution which started in the 2010s with deep learning.

And it's no secret that AI is simply incredible. First, you can build

incredible. First, you can build software by typing in plain English. You

can generate hyperrealistic images from a single prompt. You can achieve perfect texttospech understanding. You can

texttospech understanding. You can execute complex agentic tasks just like humans would. And that's only the

humans would. And that's only the beginning. None of this was possible

beginning. None of this was possible just 24 months ago. As Ilia Saskcover, the OpenAI co-founder said, "The thing which I found most surprising is that it actually works." So, you can see that

actually works." So, you can see that the AI revolution is truly a once- ina-lifetime opportunity. And all the

ina-lifetime opportunity. And all the smart money realizes this. All of the top players have decided to go allin on AI. Elon Musk stopped working at Doge

AI. Elon Musk stopped working at Doge and started focusing on XAI. Jeff Bezos

is betting big with his project Prometheus and over 100 billion invested through Amazon. Meta was hiring people

through Amazon. Meta was hiring people for nine and 10 figures, poaching people from other companies for insane salaries. And Google got their

salaries. And Google got their co-founder Sergey Brin to be at the company every single day working on Gemini. Now, in business, there's this

Gemini. Now, in business, there's this concept of capex, which stands for capital expenditure. It's the money a

capital expenditure. It's the money a company spends on big long-term stuff, buildings, equipment, infrastructure. In

this context, in AI, it's mostly data centers, servers, GPUs, AI chips. And

here is how much money big tech is spending on capex. Microsoft 80 billion, Amazon 125 billion, Google 85 billion, Meta 72 billion. So the message is

clear. Big tech understands that AI is

clear. Big tech understands that AI is the future. There's more money going

the future. There's more money going into AI than anywhere else. And we can see that just by looking at the market cap on Nvidia, which is bigger than all of big pharma combined. The time it takes to generate wealth is rapidly

accelerating. In the oil industry, it

accelerating. In the oil industry, it took 57 years for the first billionaire to be created, which was John D.

Rockefeller. In the tech industry, with the advent of personal computing, it took 12 years for the first billionaire to appear, Bill Gates. But in the AI industry, just in the last 2 years

alone, there have been 29 new billionaires. That's right, 29

billionaires. That's right, 29 billionaires in just 24 months. That's

more than one new billionaire every single month. As MIT researcher Andrew

single month. As MIT researcher Andrew McAfee noted, going back over 100 years of data, we have never seen wealth created at this size and speed. It's

unprecedented. And my own experience matches this. I've built one of the

matches this. I've built one of the biggest YouTube channels in AI. I've met

tons of incredible people over the last few years. I went from making $600 a

few years. I went from making $600 a month to over $100,000 a month in less than two years. I've interviewed dozens of top AI experts, entrepreneurs, and developers. I've built one of the

developers. I've built one of the largest AI communities in the world. I

built my own startup with zero web development experience, which has been used by over 67,000 people up to this day. all while traveling the world and

day. all while traveling the world and working on my own schedule. But you're

not here for my story. You're here to find out how AI can change your life. So

here is what I'll tell you today. How do

different AI business models compare against each other? And which is the best AI business models to start in 2026. See, choosing the right business

2026. See, choosing the right business model is like choosing the right fishing spot. You could be the greatest

spot. You could be the greatest fisherman in the world, but if there's no fish in that spot, you will leave empty-handed. Or you could be a terrible

empty-handed. Or you could be a terrible fisherman like me. But if you choose the right spot, you will still catch plenty of fish. And that's a real story. By the

of fish. And that's a real story. By the

way, business is the same. Choosing the

right industry and the right business model is everything. See, many of you do everything right except work on the right thing. Choosing the right business

right thing. Choosing the right business model in the right industry improved my life significantly. So, I know this

life significantly. So, I know this works from experience, not theory. So,

in this video, I'm going to help two types of people. Number one, the newcomers who want to get into AI. you

need to take the leap and get involved in AI in some way. I promise I'll give you clarity on how to get started today for free. So, you're going to want to

for free. So, you're going to want to stay until the end because I'm going to deliver on that big time. You have my word. The second type of person I'm

word. The second type of person I'm going to help in this video is the builders, the entrepreneurs, the go-getters who want to scale their business. I'm going to show you what the

business. I'm going to show you what the best AI business model is and why. I'll

give you practical, actionable ways to implement AI into your company. And

later on, I'll share the key lessons I learned from my last three years in AI.

So, buckle up. And yes, this video will work no matter if you're old, total beginner, non-technical student, retired, super busy, or a slow learner.

All you need is the ability to speak English, access to internet, and a computer. That's it. So, we've

computer. That's it. So, we've

established that AI is by far the best industry to be in, and that succeeding in AI doesn't have to take decades. In

fact, all of the people who built a successful AI business have one thing in common. They follow the same set of

common. They follow the same set of principles, a proven system that anyone can follow. And it took me over 3 years

can follow. And it took me over 3 years to realize what this system is and over $150,000 in experiments. And I'll give it to you today in this video completely for free. However, most people will not

for free. However, most people will not reap the benefits from the AI revolution. By 2030, 14% of workers will

revolution. By 2030, 14% of workers will be forced to change their careers because of AI. Actually, it's quite simple. If you don't adapt, you will get

simple. If you don't adapt, you will get replaced. So, most people will

replaced. So, most people will completely miss out on the AI revolution. And some of you already know

revolution. And some of you already know what that feels like. You saw the internet revolution, or you saw the social media revolution and the insanely fast growth of those companies, or you saw the Bitcoin wave and how it went

from less than a dollar to over $100,000 in just one decade. And now you wish you took part in these technological revolutions. We all know what it feels

revolutions. We all know what it feels like to miss a massive opportunity that in hindsight we should have jumped upon.

And guess what? AI is that opportunity.

In fact, missing the AI revolution will be even more painful because this technology is far bigger than anything that came before it. So, I would highly recommend you block out the next 40 minutes and pay close attention because

in this video, I'll show you exactly what I'm doing to not only survive the AI revolution, but to thrive in it.

First, let's start with some clarity because the AI field can be overwhelming. You're probably wondering

overwhelming. You're probably wondering which tools or models should I use? Am I

building the right thing? Is my job or industry safe? Am I too late to this?

industry safe? Am I too late to this?

How do I actually adopt AI into my life?

Am I technical enough for this? Which

business model is the best? How do I even get customers? How do I keep up with all the change? Where do I even start? It's totally normal to ask

start? It's totally normal to ask yourself these questions. Every single

person in the AI space has felt this way at some point. Many of us still feel that way, myself included. This is

simply the reality of living in a rapidly changing world. So don't beat yourself up for feeling this way. In

fact, it's good you have these thoughts because as Ray Dalio said, the famous billionaire and hedge fund manager, if you're not worried, you need to worry.

And if you're worried, you don't need to worry because if you are already worried, you would do the work to prepare yourself to stay ahead. So what

separates the winners in AI from everyone else? And what is the number

everyone else? And what is the number one reason why so many people fail in the AI field? The answer is simple. It's

the business model they choose. See,

over the past two years, I've seen literally thousands of different individuals try hundreds of different things because I run one of the largest AI communities, which gives me a unique perspective on the entire playing field

and what works and what doesn't. And

there's a very clear pattern that emerged. The people who struggle to

emerged. The people who struggle to succeed, the people who get stuck and cannot scale all had a suboptimal business model. Now before I talk about

business model. Now before I talk about which business models are suboptimal and what actually is the best AI model for 2026, let's define what makes a certain business model suboptimal. And there are

four main failure factors. Number one,

time freedom. How much free time will you have in a typical week? Number two,

recurring revenue. Whether you need to constantly hunt for new clients or whether your current clients pay every month. Number three, long-term exit. Can

month. Number three, long-term exit. Can

this company be sold or not? And number

four, future proof. Will this business model even exist in the future or will it get replaced by better and better AI?

So, let's analyze the most popular AI business models against these four factors. First off, AI automation

factors. First off, AI automation agency, also known as AAA. When it comes to time freedom, this is a 2 out of 10 because you have to do custom builds for clients that require way more work and

time that anyone likes to admit. When it

comes to recurring revenue, it's a four out of 10 because it's mostly projectbased. So, you always need new

projectbased. So, you always need new clients. If you do a good job, some

clients. If you do a good job, some clients will return, but most of the time you need new clients. Long-term

exit is one out of 10 because there's zero hope of your agency ever getting acquired or sold because it's so heavily reliant on you working in the business.

Plus, the churn for the talent, aka your employees and your customers is very high, meaning there is no recurring nature and you constantly need to hire new people and you constantly need to attract new clients. And when it comes

to future proof, it's a three out of 10.

You're doing what AI will inevitably automate because as the AI models get better themselves, less and less people will outsource to third party agencies.

And this is the big AAA lie. I would say this is the most insidious business model in all of AI. Not only does it fail on all four criteria, but most people who are teaching this business

model are doing so in bad faith. See,

over the past 2 years, I've met 15 to 20 different AI agency owners, and every single one of them wants to quit or pivot to something else. More on that later. The next business model is AI

later. The next business model is AI content, aka faceless channels. Time

freedom. This is actually six out of 10 because a winning piece of content can generate revenue for months to come, especially if you find an entire winning format. But before then, you must run a

format. But before then, you must run a lot of experiments. When it comes to recurring revenue, this is two out of 10, however, because ad revenue fluctuates widely based on your views.

And I know this from experience from running multiple YouTube channels. Plus,

AdSense is very unreliable source of income. When it comes to long-term exit

income. When it comes to long-term exit is just as bad. Two out of 10. Extremely

low chance of you ever selling a YouTube channel, especially one that posts AI generated content. And future proof,

generated content. And future proof, three out of 10. Everyone has access to the same AI tools and platforms like YouTube, Tik Tok, Instagram are actively cracking down on lowquality AI slop. So,

you have to constantly keep testing and experimenting to stay ahead. In fact, my own experience backs this up. In the

past, I've actually ran a very successful faceless channel myself, which was generating between 20 and 30,000 a month every single month. So, I

know this business model inside and out.

And for the first two years of this YouTube channel, I was making between zero and $200 a month, which is not enough to even survive. Plus, it's much more work than it seems because content

creation is a hyper competitive space and it's becoming more and more competitive by every passing day. The

next popular AI business model is freelance AI developer. Now, time

freedom. This is pretty good. 7 out of 10. You can choose your clients. You can

10. You can choose your clients. You can

work your own hours from your own location. This gives you solid

location. This gives you solid flexibility. But again, you're still

flexibility. But again, you're still trading hours for dollars. When it comes to recurring revenue, this is a three out of 10, however, because it's either hourly or project based. Repeat clients

are very rare, and when the build is done, so is the paycheck. You're

basically a glorified gig worker.

Long-term exit is even worse. One out of 10. You are the business. There's no

10. You are the business. There's no

assets to sell. The day you stop developing, it's over. And future proof, it's a bit better, but still three out of 10 because you're essentially competing with cursor or cloth code while being 100 times more expensive

than these AI agents, which are also getting much better much faster. And

again, this is not theory. The data

backs this up. According to Brookings Institute analysis, the contract volume has declined since CH GBD was released and the earnings growth trajectory has dropped by 5% for the freelance economy.

And according to the official data from the CIO, recent US computer engineering graduates have a higher unemployment rate than the national average baseline of unemployment, which doesn't make the

business model of being a freelance AI developer the most appealing. Next up,

we have AI drop shipping or AI e-commerce. Now, time freedom, five out

e-commerce. Now, time freedom, five out of 10. Pretty solid. Once you find a

of 10. Pretty solid. Once you find a successful product and highly converting creatives, your business can run nicely and largely automated. But finding that untapped product, however, is very difficult. When it comes to recurring

difficult. When it comes to recurring revenue, one out of 10. Every single

sale is a one-time transaction. There's

no subscriptions, no retainers. You're

on an endless treadmill of paid ads, sale, repeat. Long-term exit, however, 6

sale, repeat. Long-term exit, however, 6 out of 10. It's possible to convert a drop shipping store into a proper e-commerce brand. However, this requires

e-commerce brand. However, this requires very high margins, contacts with suppliers, worldclass advertising, and lots and lots of skill. But if you ask how future proof this business model is,

I have to say two out of 10 because your suppliers are essentially now your competitors. And you can just look at

competitors. And you can just look at Timu, Sheen, Tik Tok shop. These are

cutting out the middleman and letting consumers buy for couple dollars the same thing that drop shippers did five or seven years ago. And here's the logic. Drop shipping and e-commerce

logic. Drop shipping and e-commerce takes a lot of capital to start up. You

need to run paid ads. You need to create creatives. And you need to test

creatives. And you need to test different products. And by the way, this

different products. And by the way, this is another business model that I've actually done myself. I've spent over three years in the ecom space. I've sold

watches, face slimming masks, but knives, cat toys, seed cushions, just to name a few of the products that I sold.

In fact, before I ever did YouTube, I used to make video creatives for drop shippers, which showed me just how ruthless this business model can be.

Over those three years, I've worked with hundreds of different e-commerce stores from all niches imaginable, and less than 5%, again, less than 5% managed to

build a successful, profitable store.

This is a terrible business model for beginners. Next up, we have day trading

beginners. Next up, we have day trading with AI bots. When it comes to time freedom, 8 out of 10. Really solid

because in theory, the AI bot can make the trades for you. In practice, you still have to build the bot and manage its behavior so that you don't go bankrupt. When it comes to recurring

bankrupt. When it comes to recurring revenue, one out of 10 because there is no revenue. You are merely making trades

no revenue. You are merely making trades and the results of those trades can be positive or negative depending on your skill. When it comes to long-term exit,

skill. When it comes to long-term exit, two out of 10 because you can't really sell a trading bot since if it actually worked profitably, why would you sell it? And the potential buyers who might

it? And the potential buyers who might be willing to acquire your company already know this. Also, this business model is not future proof at all. You're

competing against Citadel, Renaissance, Two Sigma. These are Wall Street firms

Two Sigma. These are Wall Street firms with hundreds of billions of dollars and PhDs that are optimizing every single nancond. So what I'm trying to say is

nancond. So what I'm trying to say is that you will get crushed. This business

model is beyond dangerous. And what

makes it ultra risky is that the worst outcome isn't just not making money.

Like with the other business models, the worst outcome is losing all of your money. According to a peer-reviewed

money. According to a peer-reviewed study in the review of finance, researchers tracked every day trader in the Brazil's future market which actually is the third largest market in the world. And of the traders who stuck

the world. And of the traders who stuck with it for over 300 days. So these are not the quitters. These are the people who actually stuck with it. 97% of those

traders lost money. Only one in 200 traders made more than a regular bank teller. And just like every single man

teller. And just like every single man thinks he could win in a street fight, every single man for some reason thinks he has some superior trading strategy that nobody else is realizing. This of

course is total delusion. If there's one business model that you should absolutely avoid, it's this one. So to

summarize, building an AI agency is extremely time demanding. Everyone I

know who's doing it either wants to quit or pivot to a different business model, AI content. The revenue is entirely

AI content. The revenue is entirely dependent on your views, which fluctuate wildly. Plus, the competition in content

wildly. Plus, the competition in content creation is insane. Number three, AI freelance development. You're

freelance development. You're essentially going against AI agents that cost $10 or $20 a month. That's a losing strategy. Number four, AI drop shipping.

strategy. Number four, AI drop shipping.

This requires high investment upfront, which a lot of beginners cannot afford.

Plus, apps like Teu or Tik Tok shop have already captured the market and built a monopoly. And number five, day trading

monopoly. And number five, day trading with AI bots. This is ultra risky and you're competing against Wall Street.

You have a chance of losing everything.

So, as you can see, most AI business models are not as sexy as your favorite guru would like you to believe. And this

is the reason why most people fail. They

pick the wrong business model. The gurus

teaching these sub-optimal business models are selling you a lie. And most

of them aren't even doing the business models that they teach. And even the few that actually do those business models often are trying to pivot to a different one. One that scales without you, gives

one. One that scales without you, gives you time freedom, and gets stronger as AI advances. So, my goal with this video

AI advances. So, my goal with this video is to teach you everything you need to know to succeed with AI in 2026. So, if

you watch until the end, you will know how to pick a business model that suits you the best and how to actually get started. And if you've already tried to

started. And if you've already tried to build an AI business in the past and it didn't work, don't beat yourself up. As

Warren Buffett said, it doesn't matter how hard you row, it matters which boat you get in. Which begs the question, what boat should we get into? What AI

business model is the best one to start in 2026? Is there a business model that

in 2026? Is there a business model that doesn't fail the big four factors? Well,

if you want to become an Olympic swimmer, you should study the most successful swimmers. If you want to

successful swimmers. If you want to become a great runner, you should study the most successful runners. So, let's

look at what the most successful AI companies have in common. The first case study is a company named B 44. This was

founded by Maros Schlommo at age 31, and he completely bootstrapped Base 44 with his own money. He used AI tools and agents to build his software faster. And

six months later, he had $250,000 users and was able to make $189,000 in profit in a single month. And this resulted in him getting acquired. That's right. Base

44 got sold to Wix for $80 million cash.

The second case study is NA10. Yan

Oberhauser, the founder of NA10, started it as a side project. It literally began as an open-source repo on GitHub with no monetization. All of which was in a

monetization. All of which was in a field with existing automation software.

What Jan did is he built a better product leveraging AI agents. And

recently Natan raised $180 million at a valuation of 2.5 billion. Here's the

third case study. Loveable. So the

founder of Lovable, Anton Osica, built an app called GPT Engineer over the weekend and it went viral. 50,000 plus

stars on GitHub which he then rebranded to lovable. He launched that on November

to lovable. He launched that on November 2024 and in eight months he was able to hit 100 million ARR annual recurring revenue. And keep in mind that this is

revenue. And keep in mind that this is faster than OpenAI with Cursor and every other software company ever. And today

lovable is valued at $6 billion. Now

I've personally talked with the founder of NA10 and a founding engineer at Lovable and I can honestly say they are regular people. Most people when they

regular people. Most people when they hear that will be filled instantly with many limiting beliefs, but a select few of you will get inspired by this and take action. I'm making this for the

take action. I'm making this for the select few. And just to drive the point

select few. And just to drive the point home, here's another case study from Levels.io aka Peter Levels. He makes

$3.5 million per year with his multiple software startups. And the best part is

software startups. And the best part is AI writes 80 to 95% of his code. And he

has over 90% profit margins because he has almost zero overhead. and he has no employees, no investors and no office.

And case study number five is Vectal.

Veal is my first software startup. I

built it in 2 months with zero previous startup experience. And of course, I

startup experience. And of course, I used AI agents to help me build the software itself. And keep in mind, when

software itself. And keep in mind, when I started, the AI models were much worse than they are today. And in total, I can honestly say that over 99% of the code is written by AI. So, because I move

fast and because I leverage AI agents, Vectal was able to hit a peak of $155,000 in ARR. Oh, and I've documented

in ARR. Oh, and I've documented everything since day one in the new society. Now, you might be thinking,

society. Now, you might be thinking, what do these companies share in common?

Software. Software is the common pattern across all of these success stories.

These companies turned AI agents into software. And this is what allowed these

software. And this is what allowed these startups to scale super quickly without large dev teams or years of experience.

So let's look at the software business model and how it performs on the big four criteria. Number one, time freedom.

four criteria. Number one, time freedom.

I would say this is 8 out of 10 because once the software is running, it scales without you. But it's not passive on day

without you. But it's not passive on day one. You have to build it. There's bugs.

one. You have to build it. There's bugs.

You have to add new features, stuff like that. Now, recurring revenue, 9 out of

that. Now, recurring revenue, 9 out of 10. This is why startups use the term MR

10. This is why startups use the term MR and ARR. It literally stands for monthly

and ARR. It literally stands for monthly recurring revenue and annual recurring revenue. Now, when it comes to a

revenue. Now, when it comes to a long-term exit, 10 out of 10. Software

companies have some of the highest multiples ever on acquisitions unlike other business models. And future proof 7 out of 10 because if you integrate AI properly into your software, it gets

better as the AI models improve. And

here's the logic. Software skills like nothing else. You build it once and you

nothing else. You build it once and you can sell it infinitely unlike other business models like agency. And because

all these apps I just mentioned turned AI agents into software, it auto evolves as AI models get released. So if OpenAI releases a new model, you just update it in your app and all of your customers

have a better product without you doing any real work. On top of that, software can also have incredibly high margins if done correctly. Anywhere between 70 and

done correctly. Anywhere between 70 and 98% profit. And thanks to AI agents like

98% profit. And thanks to AI agents like Codeex and Cloth Code, it has never been easier to build software. And this is exactly why I'm doing this business model myself. I'm revealing exactly what

model myself. I'm revealing exactly what I'm doing, how I'm doing it, and why I'm doing it. And my plan is to triple down

doing it. And my plan is to triple down to focus on software even more. Building

an AI software company is the key to creating a scalable 100k per year business. And it's now attainable even

business. And it's now attainable even without traditional coding skills because AI writes the code for you.

Software is what allows me to work from my laptop and travel the world. Software

is what allowed my startup to scale from zero customers to over 70,000 users in less than a year. Software is what lets me work as little or as much as I want.

Software is why regular people are building multi-billion dollar companies at record speeds. So if AI is the best industry to be in and software is the best business model, how do we build a

successful AI software company? Well,

you do what all the other successful software companies are doing. You build

an AI agent and you turn it and package it into easy to use software. Now

building software doesn't mean you have to be a professional developer. Times

have changed. The rise of AI coding has made building software easier than ever before. But instead of just talking

before. But instead of just talking about it, let me prove it to you. I'm

going to show you just how easy it is to build a full stack web app with a single prompt written in plain English. So I'm

going to use cloth code for this and I'm going to paste in the prompt and just hit enter. Single prompt like a

hit enter. Single prompt like a paragraph long and it's going to build everything from scratch. Let me just read the prompt I sent. Build a complete runnable full stack mini Calendarly demo app. So, we're going to try to build a

app. So, we're going to try to build a Calendarly clone in a single prompt with cloud code. And I'm just going to let it

cloud code. And I'm just going to let it run and do a time lapse. And you can see for yourself just how easy it is to build software.

So, there we go. That was like 6 minutes 20 seconds. And again, I had to hit

20 seconds. And again, I had to hit enter for some of the more risky commands, but cloth code built the whole project. You can see the whole file

project. You can see the whole file structure. And it even did some tests.

structure. And it even did some tests.

So, let's see if it works. And there we go. Here is our mini Calendarly clone.

go. Here is our mini Calendarly clone.

Zero errors. Everything in a single prompt working web app with event creation. I mean, yeah, this is

creation. I mean, yeah, this is basically a Calendarly competitor created from a single paragraph written in plain English. Guys, we're literally living in the future. So, as you can see, the problem isn't how to build an

app. The problem is knowing how to

app. The problem is knowing how to monetize and scale it. And I know that because I've taught it to hundreds of people in my community. I even taught very successful entrepreneurs that all of you will recognize how to build AI

agents. So, let me give you all of the

agents. So, let me give you all of the lessons and mistakes I've learned from building my first AI startup, which by the way, I managed to scale from zero to

155K RR in just 4 months. And let me tell you, I wish I had these lessons 13 months ago when I first started because they would have saved me countless hours, thousands of dollars, and lots of

confusion and stress. So, here is free advice number one. Launch as fast as possible. This is essential. Do not

possible. This is essential. Do not

delay. Don't wait 6 months. Set a

deadline 30 days and just launch. Free

advice number two. List out all of the assumptions that go into your startup like people must have this problem.

They're willing to pay for this problem.

They're willing to pay for it every month and many other assumptions that you might not even be aware that you're making and quickly validate or invalidate them. Focus on reaching

invalidate them. Focus on reaching product market fit above everything else. Do not get attached to your idea.

else. Do not get attached to your idea.

Simply experiment. Talk to potential customers, see what issues they have, and try to reach product market fit as fast as possible or try to figure out, okay, maybe this doesn't have product market fit and move on as fast as

possible. Free advice number four, watch

possible. Free advice number four, watch your customers use the app in front of you. Guys, this is a cheat code. If you

you. Guys, this is a cheat code. If you

simply sit down a potential customer or a current customer and you watch him use the app in front of you, you will see so many things like UI that isn't clear, buttons that are hidden, which features they're actually using. I mean, this is

literally priceless.

figure out how you can do this every single week and your app will improve exponentially quickly. Now, you might be

exponentially quickly. Now, you might be thinking, David, these tips are great and all, but I don't even know what to build. Well, for that, I have three

build. Well, for that, I have three pieces of advice. Number one, if you're not sure what idea to pick, read the book 0ero to1. Number two, choose an industry or a field where you already

have experience. And number three, start

have experience. And number three, start every single day by writing down five new startup ideas. No matter how good or bad they are, just do this every single day and you will have 150 startup ideas

by the end of the month. If you do these things, your odds of picking a successful idea greatly increase. Okay,

but what if you don't have a large social media following? Well, neither

did these builders. Number one, Patrick.

Patrick is one of the members in the new society, and he managed to make $8,000 with just 30 subscribers on YouTube.

Number two, Agent Zero. Jan, the founder of Agent Zero, didn't have any following when he started the project. AgentZero

grew organically through GitHub and school communities. Example number

school communities. Example number three, NA10. The founder of NA10 also

three, NA10. The founder of NA10 also did not have and still doesn't have a large social media following. He simply

built a great product that turns AI agents into software. Now, yes, having followers helps, but it's not necessary.

There are many other ways to get customers for your software company. But

David, I don't know how to get customers. Well, here are some of the

customers. Well, here are some of the methods that currently are working for software companies that are getting tons of customers. Organic content, paid ads,

of customers. Organic content, paid ads, UGC, which stands for user generated content, influencer marketing, cold outreach, product hunt, niche communities, SEO, referrals, just to name a few. Here's a case study that

proves the point. Cal AI. This is a calorie tracking app that uses AI to calculate the calories. And the two founders did a very clever influencer marketing campaign. They contacted over

marketing campaign. They contacted over 150 micro influencers in the fitness niche which is relevant to their product and because of this they managed to

reach $12 million in ARR in just 6 months with over 5 million downloads.

Here is another successful AI company with a very different strategy v.io.

Their mechanism was SEO search engine optimization. So what they did is they

optimization. So what they did is they created separate landing pages for super specific granular tasks and search terms like add subtitles to video or video to

text or compress video or remove background noise. All of the features of

background noise. All of the features of their product and by doing so they managed to bootstrap their way to $7 million ARR and over $1.5 million monthly organic visitors to their website without any large marketing

budget. Here's a third example.

budget. Here's a third example.

Midjourney. They launched entirely on Discord with no website and no ads. And

the growth came from people sharing insane looking images on Twitter, Instagram, Reddit, etc. So they scaled purely from word of mouth. They launched

in 2022 and by October of that year it was already around $50 million per year revenue run rate. So as you can see, there are many different ways to get paying customers. So what all of us

paying customers. So what all of us should do is pick the strategy that makes the most sense for our product and our industry. And it helps a lot if

our industry. And it helps a lot if someone experience helps you craft a personalized go-to market strategy. But

the main thing is this. Getting

customers is much easier if you build a unique software product that solves a specific problem for a clear target avatar. Because if you have a clearly

avatar. Because if you have a clearly defined target audience, finding them is 10 times easier. Let me give you one more example just to prove it to you. So

lang chain had a totally different way to get customers. They built a free open source repository on GitHub and let developers build on top of it. And this

way they went from a solo open source project to a unicorn valuation which is over $1 billion in valuation of your company and over $10 million in annual

recurring revenue in under 2 years. And

their strategy was very simple. Give

away all of the code. Let people use it for free. Just own the ecosystem and let

for free. Just own the ecosystem and let others do the selling for you. And

here's a bonus tip on how to get customers. Thanks to the release of Nano

customers. Thanks to the release of Nano Banana Pro, we can now use AI to help us create marketing materials like logos, banners, creatives, landing pages, and anything else you can imagine. This

makes getting your first few paying customers easier than ever before. But

David, I don't have much time to do this. Well, you don't need much time.

this. Well, you don't need much time.

Thanks to AI agents, you can work as little or as much as you want and from any place on Earth you want. See, the

business model of turning AI agents into software gives you the most time freedom out of all the business models. And

that's because you build it once and it just works. No matter if you have one

just works. No matter if you have one customer or 1 million customers. In

software, there's this concept of TAM.

This stands for total addressable market. This is the maximum revenue

market. This is the maximum revenue opportunity if a product captured 100% of its market. And AI has the biggest TAM ever, aka the biggest wealth

creation opportunity ever. But don't

take my word for it. This statement is from A16Z, the most successful VC firm of all time. Now listen, I get it. All

of this talk about software can be intimidating. So if you are not

intimidating. So if you are not technical, this is for you. First off, I want to say I know how you feel because I was not an experienced developer when I launched my first startup. But then I realized that the current AI coding

agents are much better than most people realize. You can literally ask CL code

realize. You can literally ask CL code or Codex to do nearly anything and they will do it. But the secret is this. You

can use AI to upskill yourself. Yes,

having AI agents do your work for you is great, but what the smart people are doing is using AI to make themselves ultra smart. So perhaps me and you

ultra smart. So perhaps me and you should do the same thing. And by the way, you can do the same upscale process with business knowledge. So if you don't have a lot of business experience, this

is for you. The reality is that you can only gain real business experience by building a business. And the only way to build a successful AI business is by

starting. Listen, as cliche and cringe

starting. Listen, as cliche and cringe as this sounds, simply starting and not quitting really is half of the battle.

But on a more practical note, here is some real unfiltered advice I have for the firsttime founders watching this.

Number one, focus. You must focus on a single product, single business, and a single idea. Number two, deep work. What

single idea. Number two, deep work. What

you need to avoid above all else isn't scrolling social media and, you know, wasting time. That's obvious. You need

wasting time. That's obvious. You need

to avoid the distracted busy work.

Checking emails, checking Twitter, scrolling your calendar, messaging with people endlessly. This is the death, the

people endlessly. This is the death, the busy work. You need to work in 60 to 90

busy work. You need to work in 60 to 90 minute segments of pure focused deep work. Number three, you need to get the

work. Number three, you need to get the first paying customer ASAP. This is so huge. So many founders delude themselves

huge. So many founders delude themselves that have that they have a great idea and that, you know, they already talk to people and it's good. Listen, until you have the first paying customers, you might be wasting your time. If people

will tell you anything, they will tell you the product is great. But if they actually pay for it, that's how you know that they actually want it. And number

four, always work on the current biggest bottleneck. Ask yourself with everything

bottleneck. Ask yourself with everything you're doing in business, what problem is this solving? If you cannot clearly answer this question, you should probably work on something else. And

that really is the key to being effective in business. You need to ignore all of the good ideas, all of the thousands things you could be doing that are good and solid 7 out of 10, 8 out of

10 to focus on the one thing that solves the biggest problem in your business, the biggest bottleneck, the biggest limiting factor. Work on that one thing

limiting factor. Work on that one thing and ignore everything else. But what if you have a 9 to5 and still want to do this? Well, if you have a full-time job,

this? Well, if you have a full-time job, this is for you. This is one of the most common excuses wannabe entrepreneurs make. There are countless of ultra

make. There are countless of ultra successful people that started while having a nine-to-five job that consumed most of their time. The only possible answer to this question is working

either before or after your main job.

It's as simple as that. Patrick Collison

built Stripe while being a full-time college student. Yan Kum built WhatsApp

college student. Yan Kum built WhatsApp while working 9 to5 at Yahoo. Jack

Dorsey built Twitter while working full-time as an engineer. So if these individuals are able to build multi-billion dollar companies while still having a 9 to5 in the early days, I think you are able to build a startup

that gets to 100K a year while having a full-time job. And one of the ways to do

full-time job. And one of the ways to do that is by practicing time blocking. So

simply block out two to three hours a day every day to work on your business and make this time block non-negotiable.

I don't care what your wife says. I

don't care what your kid says, your neighbor invites you to a barbecue. You

time block that time to work on your AI company. And I've seen people succeed

company. And I've seen people succeed with as little as 45 minutes per day.

I've seen others do this while raising four kids. What matters is consistency.

four kids. What matters is consistency.

If you really cannot find 90 minutes a day, maybe you don't want it bad enough.

See, the only skill you really need is knowing how to use AI. Soon enough, AI is going to be doing all of the actual work. Us humans will be simply managing

work. Us humans will be simply managing and directing teams of AI agents. And

this is obvious when you're reasoning from first principles. Number one, a company is just a group of workers. Each

of those workers do a few different workflows in their jobs or positions.

And each of those workflows is simply a series of different tasks. So the future of work is building, improving, and overseeing workflows that different AI

agents are executing. Now, let me be clear. Using AI doesn't mean only using

clear. Using AI doesn't mean only using Chad GBD. This, in fact, is the

Chad GBD. This, in fact, is the definition of settling, of being mediocre. You must develop an habit of

mediocre. You must develop an habit of testing one new AI tool per week at least. But don't be constantly tool

least. But don't be constantly tool hopping. A lot of newcomers aren't sure

hopping. A lot of newcomers aren't sure which tools to use and they hop from tool to tool, never mastering anything.

Just pick your core three or four tools and master them. Here are some good choices. Cloth Code, Cursor, Cordex,

choices. Cloth Code, Cursor, Cordex, Perplexity, Agent Zero, Nano Banana Pro, just to list a few. Another common

excuse is, "I'm too old for this." This

is one of the funniest excuses out there because most of the people in my paid community, New Society, are in their 40s, 50s, and 60s. And here's some proof. Boom. One call. Here's another

proof. Boom. One call. Here's another

call. Here's another call. And keep in mind, these are the most active members in their 40s, 50s, and 60s. And I think that this is because people over 40 actually remember how impactful the

internet was, and they don't want to miss out on another technological shift.

So, no, you are not too old for this.

I've personally seen multiple guys over 70 crush it in AI. Another common myth is, "But I don't have any investors."

Listen, this has to be the biggest Silicon Valley scam ever. Access to AI models is cheaper than ever before. A

$20 subscription to Curser or Chad GBT gives you everything you need. Really,

raising money before you have any signs of product market fit, and any real traction is just in most cases.

And let me prove it to you. Here are

just a few of the successful AI companies with zero initial funding.

Number one, Vectal. I didn't take any investment and refused all offers.

Number two, Agent Zero. No VCs, no angels, totally bootstrapped. Base 44,

also fully bootstrapped by Mau, the founder. Number four, mid Journey, $200

founder. Number four, mid Journey, $200 million revenue, completely bootstrapped, zero outside investors.

So, no, you do not need VC funding. In

fact, you should delay raising money for as long as humanly possible. And this

actually is advice that people gave to me, people who have built successfully as startups. Almost all of them tell me

as startups. Almost all of them tell me to delay raising money until I actually need it. So, how come all these AI

need it. So, how come all these AI software companies are succeeding without investors, without many employees, and faster than anything before? What is their secret? The

before? What is their secret? The

answer, they all follow a proven system.

A set of laws for scaling software businesses. A proven system is a

businesses. A proven system is a repeatable list of steps that anyone can follow to achieve a specific outcome validated by others who have already succeeded using it. And by the way, it

took me over two years to figure out that such a system even exists. And here

is why it matters for you. Without a

system, you will waste months guessing what works. Without a system, you'll

what works. Without a system, you'll burn thousands of dollars on experiments that already failed for others. But with

a system, you can skip straight to what has been proven to work. And the best part, you don't need to be a genius. You

just need to follow the steps. In fact,

many of you are too smart for your own good. you're overthinking every step and

good. you're overthinking every step and never getting started. The software

scaling laws work whether you're technical or not, whether you're funded or not, and whether you're experienced or not. So, can you now see why turning

or not. So, can you now see why turning AI agents into software is a great business model? Can you see that you

business model? Can you see that you don't need to be technical to do this?

Can you see how AI agents can build the software for you? And can you see that the issue isn't building something, but rather knowing how to scale it? Now,

let's say you're fully ready to start, but you still don't know how to actually acquire paying customers or turn an MVP into a real profitable business or scale

to $100,000 per year. So, what now? What

do you do? Well, you have two options.

Option number one, do everything on your own. This is certainly possible, but it

own. This is certainly possible, but it takes a lot of time. Option number two, follow a proven system. This way, you avoid painful mistakes, save money, and increase your chances of success. Now,

the issue is that most programs or accelerators want your equity. They also

require full-time commitment. They don't

provide hands-on support and they don't guarantee any results. And so, after scaling Vectal to 70,000 users, I realized that I had built the proven system that I wish I had when I started.

And since many of you also want to build a $100,000 per year software company, I decided to make it public. And so, I'm going to compete with Silicon Valley by launching my own accelerator. In this

accelerator, you will keep all of your equity. You'll get to work on your own

equity. You'll get to work on your own schedule and from anywhere in the world.

You will get personalized help directly from me and my team. And you receive an unbeatable guarantee. However, I must

unbeatable guarantee. However, I must say that this is not for everyone. Since

members of this accelerator will have a great deal of access to me, the spots inside have to be limited. The promise

is simple. We will help you scale your software company to $100,000 in annualized revenue in 4 months or less.

or I will personally send you your money back. Inside of the accelerator, you get

back. Inside of the accelerator, you get vectal blueprint. This is the source

vectal blueprint. This is the source code SOPs agents systems everything I used to hit 155K in ARR, so you can copy what works instead of just guessing. You also get the scaling

guessing. You also get the scaling secrets. This is a step-by-step library

secrets. This is a step-by-step library of lessons and mistakes I made over the past two years so you can fast track your growth and not make the same mistakes. But there's more. In the

mistakes. But there's more. In the

accelerator, you also get weekly calls where you get direct access to me and my entire team where we will help you customize the software scanning laws to your business. And by the way, other

your business. And by the way, other consultants charge $4,000 per hour just for this alone. Everyone in the accelerator also gets unlimited tech support. And I mean that. So no matter

support. And I mean that. So no matter if you need help with fixing bugs, building features, redesigning your front end, doesn't matter. You can

borrow one of my developers and have him help you build your startup instead of having to hire a full-time person for your own team. And the same thing goes for other essential business functions.

By the way, you get direct access to my CMO, my GTM specialist, and my creative strategist. So, basically, you get a

strategist. So, basically, you get a full team of highly competent individuals that can help you solve any problem you might encounter while scaling your software company. Inside of

the accelerator, you will also get my marketing machine. This includes all of

marketing machine. This includes all of the proprietary checklists, SOPs, guides to get your first paying customers and to scale to $100,000 in ARR. And this

really is the holy grail of client acquisition. And since I want to make

acquisition. And since I want to make this a proper accelerator, you also get access to investors. Every founder in the accelerator will receive direct access to my personal network of famous

entrepreneurs, traditional VCs, and eight figure and nine figure investors.

So you can just tap into these connections instead of having to spend years building your own personal brand.

And as a bonus, you'll get daily accountability, lifetime access to new society. All of my personal startup

society. All of my personal startup ideas, which is over 250, and a custom acquisition strategy made just for your product and your industry. Oh, and also a custom tax and legal setup to help you

not get in trouble. Now, you might be thinking, "What if I join the accelerator, give it my best, and still don't succeed?" Well, that's why we

don't succeed?" Well, that's why we offer the guarantee. If you don't hit $100,000 in annualized revenue within 4 months of joining, I'll give you all of the money back. I'll refund you

everything. No questions asked. So, if

everything. No questions asked. So, if

you qualify and you want to join the accelerator, click the link below the video to find out more information about the