The Easiest Ways To Make Money With AI in 2026
Overview
Topic: AI Business Strategy
Sandeep Swadia discusses the realities of building an AI-driven side hustle or business. He introduces the D.E.A.L. framework (Demand, Edge, Access, Loops) to help entrepreneurs build defensible, long-term businesses rather than easily replicable wrappers. Through case studies of companies like Tesla, Cirque du Soleil, and Dollar Shave Club, he explains how to verify demand, find a unique edge, secure distribution channels, and build continuous learning loops.
Minute by Minute (18)
[00:00 - 01:00] The Artificial Illusion of AI Businesses
Introduction to the pitfalls of starting an AI side hustle or business, explaining that the easiest way to make money with AI might be the worst business model because speed only matters if it helps build something differentiated and defensible.
[01:00 - 02:00] The D.E.A.L. Framework
Explaining how YouTube democratized video creation but made standing out harder, drawing a parallel to how AI makes building easy but doesn't provide a unique edge. Introducing the D.E.A.L. framework (Demand, Edge, Access, Loops).
[02:00 - 03:00] Gate 1: Demand and the Tesla Roadster
Discussing the first gate, Demand, and using Tesla's early strategy with the Roadster as an example of verifying demand and securing pre-orders before manufacturing.
[03:00 - 04:00] Building Backwards
Emphasizing the importance of asking who will pay and how much before building, and warning against building AI businesses backwards just because a tool makes it easy.
[04:00 - 05:00] Three Steps to Verify Demand
Outlining three steps to verify demand: picking a narrow niche, talking directly to actual buyers rather than friends, and building a minimum viable product (MVP).
[05:00 - 06:00] Applying Demand to AI Bookkeeping
Applying the demand verification steps to an AI bookkeeping business idea, noting that you must find a narrow customer segment with a problem that existing tools like QuickBooks don't solve.
[06:00 - 07:00] Finding Hidden Demand
Sharing a personal story of hiring an independent bookkeeper who built a custom workflow using AI, illustrating the concept of finding hidden demand.
[07:00 - 08:00] Gate 2: Edge and Cirque du Soleil
Introducing the second gate, Edge, which can come from imagination, focus, or context. Using Guy Laliberté's creation of Cirque du Soleil as an example of an edge driven by imagination.
[08:00 - 09:00] The Power of Focus
Explaining how Cirque du Soleil combined circus elements with Broadway theater to create a highly successful, unique business, and sharing a personal story about the power of obsessive focus in business growth.
[09:00 - 10:00] The Context Advantage
Discussing the third source of an edge, context, which Andrew Ng calls the 'context advantage' over AI, and explaining how to build context quickly by focusing on a super-narrow niche.
[10:00 - 11:00] Applying Edge to Photography
Applying the Edge concept to photography, showing how wedding photographers have unique workflow pain points that can be solved with tailored AI solutions.
[11:00 - 12:00] Gate 3: Access and Dollar Shave Club
Introducing the third gate, Access (distribution), and using Dollar Shave Club's direct-to-consumer subscription model as an example of bypassing traditional retail channels dominated by Gillette.
[12:00 - 13:00] Natural Meeting Points
Discussing how Unilever acquired Dollar Shave Club and explaining how to identify natural meeting points between your product and customers, using an AI Interview Simulator as an example.
[13:00 - 14:00] Finding Distribution Channels
Explaining how to find distribution channels for the AI Interview Simulator, such as university career centers or coding bootcamps, and noting that the user of the product may not be the buyer.
[14:00 - 15:00] Gate 4: Loops and Formula 1
Introducing the fourth gate, Loops, using Formula 1 practice runs as an analogy for creating continuous learning loops where every iteration makes the next one smarter.
[15:00 - 16:00] Building Learning Loops
Explaining how to feed customer interaction data into AI tools to find patterns and build learning loops that make your business more efficient over time.
[16:00 - 17:00] The Mindset of a Builder
Concluding with the idea that builders will win in the future, and using the violin makers of Cremona, Italy, as an analogy for developing deep judgment through struggle and craftsmanship.
[17:00 - 17:56] Developing Judgment Through Struggle
Explaining how the meticulous process of violin making in Cremona represents the development of judgment, which only comes after years of struggle, refining, and honing one's craft.
Broadcaster Questions (4)
[01:39] What should you build that's harder to copy?
Context: Discussing the artificial illusion of AI side businesses being easy to build but hard to win.
[02:06] How do you know you have a good business idea?
Context: Introducing the first gate of the D.E.A.L. framework, which is Demand.
[03:09] If I build it: Who would pay? And how much?
Context: Discussing Tesla's pre-sales of the Roadster to verify demand before manufacturing.
[13:08] Where do you find the customers?
Context: Discussing the AI Interview Simulator and how to find distribution channels.
Full video: Watch on YouTube
