Artificial intelligence has moved from experimental pilot projects to capital allocation mandates across Latin America. Investment committees now face a more complex question than whether to adopt data-driven strategies. The real issue is how to distinguish systems built for speculation from those engineered to manage macroeconomic instability, liquidity shocks and shifting monetary regimes. Persistent policy uncertainty, unstable correlations and sharp intraday volatility have exposed the limits of static allocation models. In this environment, executives responsible for fixed income and equity mandates must prioritize disciplined exposure management over return narratives.




