A closely watched 'Human vs AI' trading competition wrapped up recently, and the results tell an interesting story about different approaches to market risk. The headline winner was a human trader called ProMint, who managed to turn profits when the dust settled. But zoom out and the bigger picture gets more nuanced. Among all human participants, the average ROI came in at -32.22%, with nearly 43% hitting liquidation—pretty rough figures that highlight how challenging active trading can be. Meanwhile, the AI trading systems in the competition took a different approach. The 30 AI models across the board avoided liquidation entirely, posting an average ROI of -4.48%. While neither side walked away with gains, the comparison reveals something telling: the algorithms showed notably better risk control mechanisms, cutting losses more systematically while managing position sizes. Where things get interesting is what this suggests for the future. Rather than positioning human traders and AI as competitors, the conversation is shifting toward collaboration—combining human intuition and decision-making with algorithmic precision and speed. The organizers are planning the next showdown for January 22, which should give everyone more data to chew on.