JPMorgan researchers have developed AI investment agents capable of dynamically adjusting stock and bond allocations based on market conditions. In backtesting over the past two decades, the top-performing AI agent achieved an annualized return 0.7 percentage points higher than the traditional 60/40 portfolio, while also exhibiting lower volatility. This AI agent also surpassed JPMorgan's own rules-driven market state model. The researchers caution that these results are based on historical simulations and should not be seen as proof that AI can consistently outperform the market. They emphasize the importance of a thoughtful asset allocation process, rather than relying solely on the AI agent as a source of domain knowledge.