How to Make Money With AI Before 2027

TL;DR

Start by finding a recurring customer problem, selling the solution, and using AI to produce the result efficiently. Content services such as blogs, newsletters, websites, sales pages, scripts, and social posts offer an accessible entry point, while larger growth comes from removing business bottlenecks, building trust, and letting AI handle work where human involvement adds no value.

Transcript

There's only 5% of the world's population right now that has ever paid for a paid version of AI. Even though people think everybody's doing this, nobody's doing this. The difference between 0 to 100K with AI is level one, I'm just trying to find people that have problems that I'll just solve with AI and it's the same problem. I just keep selling it... Read More

Key Insights

• AI adoption is much lower than online discussion suggests, with only 5% of the world’s population described as having paid for a premium AI product. Occasional use for questions such as vacation planning does not represent serious operational adoption.
• The easiest initial AI offer is content production for customers who refuse to learn the technology. Examples include sales pages, websites, sales scripts, blogs, newsletters, tweets, and social media management, all of which solve familiar business needs through repeatable outputs.
• Effective AI use is delegation rather than casual conversation. The Marcus and Sophie analogy distinguishes chatting with an intelligent assistant from assigning it meaningful outcomes, trusting it to complete the analysis and coordination, and avoiding unnecessary human intervention.
• The theory of constraints is a method for identifying the single bottleneck limiting total output. Improving abundant resources does not increase production when another component remains scarce, so effort should focus on the current constraint before addressing the next one.
• The minimum effective dose is the smallest sufficient investment needed to relieve a bottleneck. Excessive spending on one production component can create unused capacity because another resource, such as engines or tires in the car example, will become the next constraint.
• Customer problems should determine which AI tool or nontechnical solution to use. Comparing tools before defining the desired outcome creates unnecessary overload, while starting with the customer’s stable needs makes technology selection a narrower and more practical decision.
• A business begins with a customer, not a website, brand, or social media presence. Building infrastructure before confirming demand is described as getting ready to get ready, while securing customer interest first prevents wasted time and resources.
• Trust becomes increasingly important as an AI business grows because customers do not buy AI for its own sake. The proposed progression is solving one repeatable problem from zero to 100K, using AI to grow the business from 100K to a million, and building a trusted brand beyond that.

Questions & Answers

Q: How can a beginner make money with AI?

A beginner can find people with recurring problems and use AI to deliver the same solution repeatedly. Content is presented as the easiest starting category, including blogs, newsletters, tweets, social media, websites, sales pages, and sales scripts. The offer should emphasize the business outcome and saved effort rather than AI itself, because customers are paying for useful work and trusted delivery.

Q: What AI services are easiest to sell to local businesses?

Content output is described as the easiest AI service to sell because businesses already understand the need and may feel stressed about producing it themselves. Suitable offers include managing a blog, newsletter, tweets, social media, website copy, sales pages, or sales scripts. A recurring service can package these outputs for customers who do not want to spend time learning AI tools.

Q: What is the difference between chatting with AI and using AI effectively?

Chatting with AI occasionally for news, sports, or vacation questions is compared with having a highly capable relative but using that person only for casual conversation. Effective use means assigning a meaningful outcome, allowing AI to perform substantial analysis and coordination, and resisting the urge to insert yourself into steps where you cannot add useful expertise or information.

Q: How should a technically inexperienced person start using AI?

A technically inexperienced person should begin with a problem, not with a catalog of tools. Identify the desired outcome, determine the most important obstacle preventing it, and then choose the minimum effective solution. That solution may involve AI, another technology, or simply changing personal behavior. This approach reduces overload because it makes most irrelevant tools and features unnecessary to evaluate.

Q: What is the theory of constraints in business?

The theory of constraints says that total output is limited by the process’s main bottleneck. In the example, a factory that can make one car body, two engines, and 16 wheels per day can still produce only one car. Improving wheel or engine capacity will not help initially. The business should first increase body production, then identify the next limiting component.

Q: Why should entrepreneurs find customers before building a brand?

Finding customers first verifies that a real person has a problem and wants it solved. Building a website, brand, and social presence before testing demand can consume time and resources without producing a business. The suggested sequence is to secure customer interest first, deliver a useful solution, and develop supporting assets only after they address an actual constraint or proven need.

Q: How can someone find their first AI automation customer?

A practical method is to open the contact list on a phone and message existing connections. The suggested wording asks whether they know anybody looking for help automating marketing with AI. Asking for a referral instead of directly asking each contact to buy makes the message relevant even for distant acquaintances, including people who have not been contacted for several years.

Q: How does an AI business grow from zero to 10 million?

The proposed progression changes at each stage. From zero to 100K, the focus is finding people with a problem that AI can solve repeatedly. From 100K to a million, the owner must examine the existing business and use AI to drive growth. From a million to 10 million, brand becomes central because customers buy trust rather than AI technology itself.

Summary & Key Takeaways

• AI adoption remains limited despite the impression that everyone is already using it. The opportunity is to serve businesses and individuals who do not want to master AI themselves. Content production is presented as the easiest starting point because companies already need websites, blogs, newsletters, sales pages, scripts, and social posts.

• A beginner should identify the most important constraint before choosing any technology. The theory of constraints shows that improving anything other than the main bottleneck may not increase total output. After finding that bottleneck, apply the minimum effective solution, reassess the process, and then address whichever constraint appears next.

• Aspiring entrepreneurs should reverse the usual startup sequence by finding customers before building websites, brands, or social accounts. A practical first move is messaging existing contacts and asking whether they know anyone who needs help automating marketing with AI. This tests real demand before significant time or resources are committed.