State Street Investment Management uses machine learning models — including non-linear methods and natural language processing — to support quantitative investment processes such as earnings forecasting, risk estimation, and trading.

State Street Investment Management's Systematic Equity team developed an XGBoost-based model to forecast company fundamentals such as earnings and cash flows, which the company reports outperformed sell-side analyst forecasts across regions in terms of accuracy. The team also applies natural language processing to process unstructured financial data and uses a range of ML tools across its investment process, from trading to risk analysis. The company states that AI amplifies human investment judgment rather than replacing it, and human expertise remains central to all investment decisions.