Here's what stands out: AI excels at coding and executing trades algorithmically, but when it comes to prediction markets—especially making profitable decisions by synthesizing massive contextual data—suddenly the picture changes. Can AI actually predict?

Check the leaderboard on prediction benchmarks. The numbers tell the story: despite all the hype, nobody's sitting in the green territory with their original $10K stake. Not a single profitable predictor among them.

This gap is telling. While machine learning algorithms crush pattern recognition on historical data, prediction markets demand something different—real-time contextual analysis, event-driven decision making, and the ability to price uncertainty across complex scenarios. The market's filtering out the overconfident algorithms, and what remains is a humbling reality: prediction markets expose the limits of AI in ways traditional trading doesn't.