Finding AI Product Ideas
The best AI products aren't invented. They're discovered.
You find them by watching people struggle with tasks that are tedious, expensive, or require expertise they don't have.
What you'll learn
- Where to look for high-value AI product opportunities
- The "spreadsheet test" for identifying automation candidates
- How to evaluate whether AI actually improves the solution
- Red flags that signal a bad AI product idea
The Spreadsheet Test
Find someone using a spreadsheet for something a spreadsheet was never meant to do. That's your opportunity. People using Excel to manage content calendars, track customer sentiment, categorize support tickets — these are all workflows begging for AI.
The spreadsheet is a signal that the problem is real, the user already cares enough to build a janky solution, and no existing tool serves them well enough. That's the sweet spot.
Five Hunting Grounds for AI Ideas
1. Expert bottlenecks. Where do companies pay expensive humans to do repetitive cognitive work? Legal document review. Medical image screening. Code review. Wherever expertise creates a bottleneck, AI can widen the pipe.
2. Translation gaps. Anywhere information exists in one form but is needed in another. Audio to text. Images to descriptions. Data to narratives. Jargon to plain language.
3. Decision fatigue. People making hundreds of small decisions daily — what to post, what to prioritize, what to respond to. AI as a decision-support layer, not a decision-maker.
4. Personalization deserts. Services that treat every user identically when they shouldn't. Education, health recommendations, financial advice — anywhere one-size-fits-all is the norm because personalization was too expensive.
5. Your own pain. The most honest ideas come from problems you personally face. You understand the nuance, the frustration, the workarounds. Build for yourself first.
Idea Evaluation Scorecard
Strong signal: "I currently pay someone $50/hr to do this" or "I spend 3 hours a week on this"
Medium signal: "This would be nice to have" or "I sometimes struggle with this"
Weak signal: "AI could theoretically do this" or "This would be cool"
Idea Hunting Grounds — Match Each to Its Description
Tap one on the left, then its match on the right
Red Flags — Ideas to Avoid
The "AI for AI's sake" trap. If you can't explain the value without mentioning AI, the idea is technology-driven, not problem-driven. Nobody cares about your model. They care about their problem disappearing.
The accuracy trap. If your product requires 99.9% accuracy to be useful (medical diagnosis, legal compliance, financial transactions), you're building on a foundation that current AI can't guarantee. Look for domains where 85% accuracy is still 10x better than the status quo.
The "just a prompt" trap. If your entire idea is a system prompt wrapped in a UI, a competitor can clone you in an afternoon. Ideas need a data moat, a workflow advantage, or a network effect.
Try It Yourself
List three tasks you did this week that were tedious, repetitive, or required translating information from one format to another. For each one, ask:
1. Could AI do 80% of this work?
2. Would I pay $20/month to never do it again?
3. Do other people have this same problem?
If all three are yes — you have a product idea worth testing.