I noticed an interesting trend — more and more retail traders are using AI to identify market inefficiencies on prediction platforms. The point is that a market maker is essentially an intermediary who creates liquidity, and AI helps find moments when prices on such platforms deviate from fair value.

When you understand that a market maker is not an enemy, but simply a participant who profits from spreads, the logic becomes clearer. AI begins to see patterns that humans might miss — micro-disruptions in quotes, delays in data updates, asymmetry of information between platforms.

The problem is that most retail traders just look at prices and guess. Those who apply AI analysis gain an advantage. They catch moments when market maker algorithms make mistakes or when the market overestimates the outcome of an event.

Of course, this is not a guaranteed way to make money. But when you understand how market makers operate and have tools for analysis, your chances clearly increase. That’s why so many traders are now experimenting with AI strategies on prediction markets — it really works if approached systematically.