Laziest Way To Make Money With AI ($373/day+)

Iman Gadzhi

423,834 views • 1 month ago

Video Summary

The video introduces the concept of making money with AI by highlighting how recent advancements have leveled the playing field, giving everyday individuals the same leverage as large corporations. It emphasizes that simply using AI tools like Gemini or Claude isn't enough; proper application is key. The speaker redefines "lazy" as efficient and smart, advocating for finding the most efficient ways to generate income rather than doing nothing, explaining that true success comes from leveraging competitive advantages like AI.

The discussion then shifts to the "model mismatch" many people face, where they chase business models unsuited for their current stage, often requiring significant upfront capital or expertise that they lack. Drawing on personal experience with businesses like an eyewear company and a software company, the speaker critiques models like drop shipping and Amazon FBA for their high risk and limitations. A framework for a "lazy" business model is presented, focusing on high scalability, low risk, and high reward, which current models often fail to meet.

The proposed solution is "Digital Products 2.0," powered by AI. This model is likened to an infinite spinning wheel game where each attempt to create and sell a product is a spin, and failures cost nothing. AI simplifies and speeds up the creation process, allowing anyone, not just experts, to develop valuable digital products like ebooks or courses. The strategy involves identifying niche opportunities using a "third layer theory," synthesizing information with AI, and then productizing the creation, emphasizing distribution through methods like influencer arbitrage as the key to success without needing to directly "sell."

Short Highlights

AI provides everyday individuals with the same leverage as large corporations, offering efficient ways to make money.
Traditional business models often fail due to "model mismatch," requiring resources or expertise that beginners lack.
A "lazy" business model is defined by high scalability, low risk, and high reward, a combination often missing in existing options.
"Digital Products 2.0," powered by AI, allows for rapid creation and testing of digital products with minimal risk and high potential.
Success involves identifying niche opportunities using a "third layer theory," leveraging AI for product creation, and employing distribution strategies like influencer arbitrage.

Key Details

The Power of AI as a Competitive Advantage [00:00]

Three years ago, combining "making money" and "lazy" in the same sentence was difficult, but AI has changed that.
Everyday individuals now possess the same leverage as multi-billion dollar corporations due to AI.
Simply using AI tools like Gemini or Claude without proper knowledge is insufficient for success, akin to having a rifle but not knowing how to shoot.
The speaker redefines "lazy" as efficient, smart, and leveraging competitive advantages to maximize opportunities.
The goal is to find the "laziest" ways to make money with AI, applicable to various income targets ($373/day, $3,000/day, or $30/day).
The video aims to show how to achieve financial freedom and independence by following correct principles.

"The absolute laziest. And by the way, I hate the word lazy because funnily enough, growing up, I got called lazy at times. Even though I didn't really like the word lazy, I looked at it as efficient, smart, and if you had a competitive advantage available to you, make the most of it."

The Model Mismatch and Barriers to Entry [01:45]

Many people have been "stuck in the model mismatch," chasing business models not designed for their current career stage.
The issue isn't the model itself, but whether it fits one's current journey, similar to how there's no single "correct" pace or weight for everyone at the gym.
Gurus often promote their models as the best but fail to mention that most require resources individuals may not have.
Examples of barriers include:
- Drop shipping requires money for ads to test products.
- Amazon FBA requires upfront capital for stock.
The speaker shares personal experience with a multi-million dollar eyewear company and a complex software company, understanding the pros and cons of various business models.
Previous opportunities that created millionaires online often had barriers that prevented beginners from participating.

"You, my friend, have been stuck in what I call the model mismatch. You have been stuck chasing models that were never actually designed for someone at your career stage."

Redefining "Lazy" as Efficient and Smart [03:40]

The focus is on finding the "laziest" ways to make money, which are actually the most efficient and smartest.
The term "lazy" should not be shamed; the laziest people are often the most successful because they seek efficiency and competitive advantages.
"Lazy" in this context means optimizing processes and finding edges, not doing nothing.
The world operates on finding competitive advantages, with AI being a prime example that was not previously accessible to the everyday person.
AI eliminates the need for large teams, payroll, and extensive staff, which were previously necessary for many business operations.
The speaker has 9 years of experience as a business owner, employing hundreds and holding stakes in thousands of companies, understanding the operational scale.
There's no "free lunch," but there are "easier lunches," and the goal is to "get rich quicker and easier" through the path of least effort.
The best investors and businesspeople look for the most efficient paths with the greatest returns, not the hardest ones.

"Please never, ever, ever let someone shame you into thinking the lazy is bad. Because I can tell you the laziest people on earth are always the most successful one because they are lazy in the sense of they're trying to look for a competitive advantage or a little edge or a way that they can make something more efficient and then they move on to the next problem. They're not lazy, they're just efficient."

AI: The Fundamental Shift and Its Ubiquity [05:53]

AI is the fundamental shift creating unprecedented opportunities.
Most people already use AI daily without realizing it (e.g., voice assistants, spell check, navigation apps).
AI has become so advanced it handles tasks seamlessly, making daily life easier.
The same AI technology that simplifies daily life can now be used to make money online.
The CEO of Google has made a bold claim about AI's potential.
Those who recognize this are already benefiting.
AI itself is not the vehicle for making money; it's about choosing a business model that leverages AI.
The formula is: AI + Business Model = The Laziest Way to Make Money.

"You are already using AI every single day, you just don't realize it. Because when you ask Alexa to play your favorite song, that is AI."

Choosing the Right Vehicle: The Inversion Principle and Lazy Model Criteria [07:31]

Knowing AI can help make money isn't enough; a business model that harnesses AI's power with high reward and low barriers is needed.
Picking the right "vehicle" is crucial, as most people err here.
Quoting Warren Buffett, "It's not about how hard you row, it's about what boat that you are in."
Applying Charlie Munger's inversion principle: identify the worst possible business model for someone starting out and avoid it.
Worst models are: not scalable, require twice the work for twice the pay, have massive upfront investment/risk, and limited rewards.
The speaker has experience across multiple business verticals (agency, software, digital products, eyewear, consumables) and takes an unemotional, data-driven approach to business models.
The "Lazy Model Criteria" consists of three points a business model must pass:
1. Scalability: Ability to make more money without additional work. (e.g., a bakery with a magic recipe that duplicates dough vs. one needing more ovens/staff).
2. Risk: Little to no upfront investment and complexity when starting. Avoids advanced businesses requiring significant capital.
3. Reward: Real upside potential; a high reward profile that compensates for success.

"Invert, always invert. Tell me where I'm going to die so I don't go there."

Critiquing Existing Models: Drop Shipping and Amazon FBA [11:00]

Most opportunities only meet one or two of the "lazy model criteria."
Drop shipping:
- Scalability is moderate due to constant ad scaling issues. (Example: spending $86,000-$91,000 daily on ads, even after 10 years of experience).
- Risk is extremely high: winning products go out of fashion quickly, competitors emerge, and AI makes copying easier, leading to a race to the bottom.
- Reward is low: net margins are often misrepresented, with many influencers showing revenue, not profit, after accounting for ads, product costs, returns, and fees.
Amazon FBA: Shares many of the same issues as drop shipping.
Software: Has incredibly high scalability and high reward, but also super high risk and generally isn't a great cash flow business, though good for building sellable assets.

"The bottom line is this. A lazy business model is one that allows you to get started and keep playing the game without putting yourself at a disadvantage or risk."

Digital Products 2.0: The "Spinning Wheel" Opportunity [12:30]

Digital Products 2.0 is the business model that hits all three criteria: high scalability, low risk, and high reward.
It's compared to a spinning wheel game with unlimited spins; the only way to lose is to stop spinning.
Each red slice (failed product) costs nothing, allowing continuous attempts until a green slice (successful product) is landed on.
This model allows you to be right only once to achieve significant success.
Early digital product creation was difficult and expensive (millions spent on courses like Agency Navigator and Accelerator, with high production costs).
However, AI has transformed this: what took months now takes minutes.
With Digital Products 2.0, an entire digital product can be created and tested rapidly.
If a product sells (green slice), double down; if not (red slice), create another.
Unlike other models, each "spin" (product creation/testing) costs nothing.
Digital products are "on steroids" because they are powered by AI.
Once a product is created, it can be sold to thousands or millions with no extra delivery effort, unlike physical goods.
The rewards are endless as sales are not tied to physical locations or limited audiences, selling to the entire world.

"Digital Products 2.0 know is exactly like spinning that wheel."

The Non-Expert Advantage and AI as the Expert [13:37]

Examples of successful digital products:
- Woodworking templates sold for $67, with over 16,000 sold.
- Dog training courses, with 21,000 buyers.
A commonality among these successful products is that they were not created by experts.
These are "non-expert digital products," meaning you no longer need to be an expert to create and sell them.
AI is the expert; it possesses all information, can scour the internet, and synthesize research into a valuable product.
AI can analyze top investing principles, cross-reference strategies, and package them into a digital product.
What an individual can create alone is never as good or valuable as what AI can produce.
The CEO of Shopify, a company valued near $200 billion, will not hire new employees without proving AI cannot do the job, as AI is now smarter than many PhDs.
AI has passed the Turing Test, demonstrating human-like conversational ability.
Because AI does 90% of the work, you don't even need to show your face.
The value of digital products lies in the problem they solve, not who created them.
Specialized AI tools are crucial for success, offering an advantage similar to using a chef's knife for sashimi versus a butter knife.

"AI doesn't just have some information. It has all of the information. It can scour the entire internet, cross-reference research papers, scientific studies, books, and blogs, and synthesize everything into a valuable product for you."

The Three-Step System for Creating Digital Products with AI [19:36]

Step 1: Identify Profitable Opportunities
- Avoid "red oceans" (oversaturated markets).
- Use the "third layer theory": focus on a unique value zone (deeper than a niche or market).
- Examples:
  - Instead of "productivity," focus on "how to reduce screen time as a self-employed professional."
  - Instead of "fitness," focus on "resolving knee pain during long runs for marathoners over 50."
- Deeper specificity leads to less competition and a more desperate audience.
- Find topic ideas by examining platforms like WO or Etsy for sales activity and using tools like Waltbot on Twitter (X) to track digital products exceeding $100,000 in sales.
Step 2: Synthesize Information
- AI eliminates the need for extensive research and development.
- AI can analyze thousands of studies, papers, books, and websites in minutes.
- Specialized AI tools can scrape data from platforms like ClickBank and Facebook ads to identify proven, selling digital products.
- This process ensures you are creating a product with existing demand and targeting the right audience.
Step 3: Productize
- This step enables creating a product once and selling it thousands of times.
- Digital product forms include ebooks, PDFs, planners, video courses, etc.
- Recommendation: Start with an ebook (easy to create, cheap to sell) until proof of concept (1-3 sales).
- Once proof of concept is established, the ebook can be developed into more intricate products like video courses.

"The deeper you go, the less competition you'll face and the more desperate your audience will be for your solution because it is exactly what they need."

Distribution: The Key to Success with Digital Products 2.0 [22:56]

Distribution, not direct "selling," is key for Digital Products 2.0.
Analogy: Cheerios are placed in supermarkets (pre-sold buyers) rather than people knocking on doors.
The "influencer arbitrage" method is a little-known strategy for effective distribution.
This method involves finding micro-influencers with audiences struggling to monetize.
The influencer's audience must align with the problem your digital product solves.
Deals are struck with micro-influencers who have an audience but lack monetization strategies, and you have a product their audience wants.
This creates a win-win: influencers earn by promoting, and you gain sales.
Payment is often contingent on sales generated, minimizing upfront risk.
This is the "laziest way to make money with AI," requiring only a computer or phone and internet access.
The barriers that previously held people back are now gone with Digital Products 2.0.
Success means being right only once, fundamentally changing your life methodically and strategically.
The opportunity window is not permanent, urging immediate action.