Woofun AI reports that JPMorgan Chase is testing an AI agent capable of autonomously adjusting stock-bond allocation to dynamically rebalance portfolios based on market conditions.

Backtest data reveals that the top-performing model achieved an annualized return 0.7 percentage points higher than the traditional "60/40" portfolio with lower volatility, while all eight agents demonstrated improved risk-adjusted returns. JPMorgan emphasized that these results are simulated and cautioned that widespread AI adoption may cause strategy convergence, leading to crowded trades and amplified volatility during stress scenarios.