2 · Finding a real problem worth solving
A business exists because it solves a problem someone will pay to make go away. AI can't tell you what that problem is — but it can help you investigate and pressure-test your idea faster.
Start with a real, painful problem, not a cool tool. "I have AI, what can I build?" is backwards and it's how most slop startups are born. "People near me keep complaining about X — can I solve it?" is the right direction.
A founder's loop for finding the problem, with AI as a research assistant:
- Notice a pain. Something annoying, expensive, slow, or confusing — ideally one you or people around you actually feel.
- Use AI to map it. Ask it to list who has this problem, what they do today, and what existing solutions cost. Treat every claim as a lead to verify, not a fact.
- Check it against reality. Do the secondary research the U.S. Small Business Administration recommends — industry trends, who your customers are, what's already out there — then go talk to actual people (Lesson 4) (SBA, n.d.).
- Test the "worth solving" bar. Is the pain frequent? Expensive? Felt by enough people? Are they already paying to fix it? A problem nobody pays to solve is a hobby, not a business.
Where AI helps vs. fools you here: it's great at organizing your thinking and surfacing questions you hadn't asked. It is terrible at telling you whether real people will pay — only customers can answer that. Don't let a confident AI summary substitute for one real conversation.
Check yourself. Why is "I have a cool AI tool — now what?" a worse starting point than "people keep complaining about X"?
Sources
- U.S. Small Business Administration. (n.d.). Market research and competitive analysis — secondary research, knowing your market and competition. https://www.sba.gov/business-guide/plan-your-business/market-research-competitive-analysis