Agentic AI can shift institutional investing from human execution to human oversight, with autonomous agents handling forecasting, portfolio construction, and self-improvement while staying constrained by policy documents.
This paper demonstrates how AI agents can autonomously manage investment portfolios by having specialized agents forecast market conditions, build portfolios using multiple methods, and critique each other's work—all governed by an Investment Policy Statement that ensures alignment with institutional goals.