AI in gambling

The use of AI in gambling and trading environments is an active area of experimentation, with reports of AI agents being deployed to trade on platforms like Polymarket [5] and in 24/7 crypto trading arenas [10]. Research indicates that these AI agents often exhibit behavioral patterns similar to humans, such as recency-weighted extrapolative beliefs and a disposition effect [2]. While some users have reported success with smaller, "nano" models in specific trading scenarios [10], experts note that publicized AI trading bots often lack the rigorous processes—such as alpha signal research and transaction cost analysis—required for professional-grade strategies [7]. Furthermore, deploying AI in interactive economic environments remains challenging. Empirical studies show that interactions between multiple AI agents often fail to reach a stable strategic equilibrium [4]. While AI can assist in financial decision-making by enhancing investment predictions based on individual characteristics [11], there is a risk that AI models may identify patterns in financial data that are meaningless or only functional within specific market regimes [10].