Give me 20 minutes and I'll make you insanely rich with AI
Dan Martell shares a three-step blueprint for making a million dollars with AI without writing a single line of code by targeting boring markets, setting high margins, and pre-selling solutions.
Published Nov 7, 2025 by Dan Martell
Key Insights
You don't need to understand how to build AI technology - you can make money by implementing existing AI tools for businesses
Boring markets are more profitable due to less competition, higher margins, and easier adoption
Maintaining 80-90% gross margins is essential for actual profitability in an AI implementation business
Always pre-sell your AI solution before building anything to validate market demand
The 9-step Rocket Selling System helps convert 50% of sales calls when followed correctly
AI tools can automate market research, lead generation, and even cold calling
Success comes from making decisions quickly and then making them right, not waiting for perfection
0:00
Introduction and Promise
“If you just focus for the next 20 minutes, I'll give you a simple three-step blueprint that will make you a million dollars with AI from scratch.”
Dan Martell introduces himself as a cash millionaire who has helped thousands of founders make millions through software and AI. He emphasizes that making money with AI is easier than most people think, and promises to share a system for making millions without writing code.
The video sets up a clear value proposition: spend 20 minutes learning his process and potentially become rich through AI implementation, or continue being distracted and make no progress. This framing creates urgency and positions the content as transformative.
Takeaways
Making a million dollars with AI is achievable with the right process
You don't need to write code to make money implementing AI solutions
Dan positions himself as an expert who became a millionaire at 27
The video promises a three-step blueprint anyone can follow
0:37
Step 1: Target a Boring Market
“If you go after a boring industry, competition is lower, margins are often way higher, the adoption is easier because they are looking at you as the expert.”
The first step in Dan's system is to target boring markets that other entrepreneurs overlook. He explains that boring industries offer lower competition, higher margins, and easier customer acquisition because business owners view you as an expert rather than just another vendor.
Dan outlines a three-part process for finding your boring market: market research (using ChatGPT to identify growing but boring industries), pain point research (discovering the biggest challenges these businesses face), and technology research (finding AI-first solutions that can address these problems). He suggests tools like Your.com, Precision.co, and HelloFrank.ai as examples of AI solutions you can implement.
Takeaways
Boring industries offer lower competition and higher profit margins
Use AI tools like ChatGPT to identify growing boring markets in your area
Find businesses that can easily pay $5,000-$10,000 for AI automation
Research specific pain points before approaching potential clients
You don't build the technology - you implement existing AI tools for businesses
4:14
Step 2: Set Your Gross Margins
“In business, revenue is vanity, margin is for your sanity. Trust me, if you make a million, but it cost you 500,000 to make it, you didn't make a million, you made 500,000.”
The second step focuses on maintaining high profit margins. Dan emphasizes that revenue numbers are meaningless without understanding what you actually keep. He shares the cautionary tale of a restaurant owner who appeared successful with $5 million in revenue but only took home $50,000 personally because he didn't protect his margins.
Dan provides four specific strategies for protecting margins: setting a price floor (charging 5x your costs to maintain 80% margins), productizing your offer (avoiding custom implementations), scoping outcomes clearly (preventing scope creep), and monitoring margins continuously (using tools like HelloFrank.ai). He emphasizes that with AI doing most of the work, maintaining 80-90% margins should be achievable.
Takeaways
Aim for at least 80% gross margins in your AI implementation business
Set prices at 5x your delivery costs to ensure profitability
Productize your offerings instead of creating custom solutions each time
Define clear scope boundaries with clients to prevent unpaid work
Use AI tools to monitor your margins and alert you if they drop below targets
8:04
Step 3: Pre-Sell Your Solution
“I have never in my life ever started a company where I didn't pre-sell it first. Period. Full stop.”
The final step in Dan's system is to pre-sell your solution before building it. He emphasizes that most business failures happen because entrepreneurs build products without confirming customer demand first. Dan shares examples of pre-selling across industries, from software companies to physical products like the Lomi composter that raised $7 million before manufacturing.
Dan introduces a 5-day AI assisted pre-selling sprint that includes: drafting a one-page offer (day 1), building a prospect list with AI (day 2), reaching out to buyers (days 3-4), and closing deals (day 5). He provides templates and scripts for each stage, including a cold call script that emphasizes urgency and scarcity.
Takeaways
Always validate customer demand by pre-selling before building anything
Use AI to draft your offer and build a list of 100 potential customers
Create urgency with limited pilot spots and clear pricing ($5,000-$10,000)
Have AI write personalized outreach messages for each prospect
Structure your one-page offer around outcomes, unique mechanism, scarcity, and risk reversal
13:36
The 9-Box Rocket Selling System
“Even people that have never sold before, if you don't skip these nine steps, can get people to buy.”
Dan reveals his proprietary 9-step Rocket Selling System for closing deals successfully. The system includes: setting up the call properly, learning about the customer, asking key decision questions ("Why me? Why now?"), understanding desired results, assessing current reality, identifying roadblocks, presenting a model/methodology, making the offer, and asking for the sale three times.
A crucial element of the system is what Dan calls "stretching the gap" - helping prospects see the distance between their current painful reality and their desired future state. He also emphasizes the importance of booking a follow-up meeting immediately ("BAMF: Book A Meeting From a Meeting") if prospects can't decide right away, and getting a verbal commitment to reduce ghosting.
Takeaways
Position yourself as an expert who's selective about clients, not a desperate seller
Ask "Why me? Why now?" to get prospects selling themselves on working with you
Map your solution directly to the specific roadblocks they've mentioned
Always ask for the sale three times, regardless of initial hesitation
Never end a call without scheduling a follow-up if they can't decide immediately
19:09
Final Call to Action
“The people that get rich, they worry about making the decision then making it right. If you do that, you will be on your way to make a million dollars with AI.”
In the closing segment, Dan acknowledges that he has delivered a master class in making a million dollars with AI automation, emphasizing that the approach works because he implements it himself monthly. He encourages viewers to take immediate action rather than waiting for perfect conditions.
Dan creates urgency by stating there's a limited window of opportunity in the AI space that will eventually close. He reminds viewers to download his free offer template and emphasizes that success comes from making decisions quickly and then making them right, not from endless preparation.
Takeaways
Your financial success depends on overcoming the fear of getting started
Don't wait for perfect conditions - make decisions quickly then improve as you go
The window of opportunity in AI implementation has a limited timeframe
Download the free offer template to accelerate implementation
Conclusion
This video presents a straightforward yet comprehensive roadmap for building a lucrative AI implementation business without technical expertise. Dan Martell demystifies the process by breaking it down into three key steps: finding underserved boring markets, maintaining high profit margins, and validating demand through pre-selling.
What makes this approach particularly accessible is that it doesn't require coding skills or building new technology. Instead, it leverages existing AI tools to solve real business problems for industries that haven't yet embraced automation. The emphasis on pre-selling and maintaining 80%+ margins addresses the two most common reasons businesses fail: building something nobody wants and running out of money.
So what? The opportunity to capitalize on the current AI boom doesn't require being a technical genius or having venture capital. By following this implementation-focused approach and moving quickly, ordinary entrepreneurs can potentially build million-dollar businesses by simply connecting existing AI solutions to businesses that need them, before the market becomes saturated and this particular window of opportunity closes.