JPMorgan Chase has developed AI-powered agents that dynamically shift allocations between stocks and bonds based on market conditions, and the results from backtesting are turning heads.
Over two decades of historical simulations, the best-performing AI agent outpaced the traditional 60/40 portfolio by 0.7 percentage points per year. In English: if a standard balanced portfolio returned 8% annually, JPMorgan’s AI would have delivered 8.7%.
What the AI actually does
Led by JPMorgan strategist Thomas Salopek, the project uses AI agents that read market conditions and decide when to tilt toward stocks or retreat into bonds.
The AI agents didn’t just generate higher returns. They did it with lower volatility than the 60/40 benchmark. The AI strategy also beat JPMorgan’s own existing rules-based market regime model.
