How AI Money Radar separates opportunity from hype.
The Index is designed to answer a practical question: is there credible evidence that someone can sell this, someone wants to buy it, and AI materially changes the economics?
Discover specific business models
We look for concrete products, services, workflows and businesses — not generic lists of AI side hustles. A useful opportunity should make clear what is sold, who pays and how AI is involved.
Compound evidence instead of duplicating ideas
When a known idea appears again, the new source strengthens, weakens or expands the evidence attached to that opportunity. A differently worded mention should not become another copy of the same business model.
Look for two-sided market validation
The strongest opportunities combine buyer-demand signals with seller-payment evidence. We also track recurring pain, existing market supply and new AI capabilities that make the model possible.
Score evidence and opportunity separately
A compelling business model can still have early evidence. That is why preliminary opportunities remain visible with lower confidence rather than being presented as proven or removed simply because they are new.
Let ratings move over time
Supporting evidence can improve an opportunity while contradictory evidence can reduce confidence or momentum. The Index is intended to behave like a living research database, not a static ranking.
What the score means
Strength and diversity of real-world support.
Evidence that buyers actively want the outcome.
The apparent economic value of the opportunity.
Demand and pain relative to existing competing supply.
How materially AI improves cost, speed or capability.
Whether the model can be sold or executed repeatedly.
Income claims are evidence, not forecasts.
Public revenue, profit and payment claims can be incomplete, atypical or self-reported. AI Money Radar uses them as signals of market activity and does not represent them as guaranteed or typical outcomes.