Machine-Native Capital Allocation: The Next Financial Infrastructure
For over a century, global finance has relied on a human decision layer—investment committees, manual risk reviews, and periodic portfolio rebalancing. In today’s hyper-connected, high-speed markets, that architecture is failing.
This strategic manifesto outlines the structural transition from human-driven asset management to autonomous, machine-native allocation infrastructure powered by reinforcement learning.
Key Topics Covered
- Empirical evidence on the systemic underperformance of discretionary management
- The 3 structural forces making markets non-stationary (Data Expansion, Non-Stationarity, Decision Speed)
- Why machine-learning agents are replacing traditional portfolio construction workflows
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