The emergence of sovereign AI as a formal state priority marks a structural turn in how nations position themselves within global technology competition. This paper examines four contemporary policy developments: South Korea's AI Basic Act (effective January 2026), Japan's Generative AI Principle Code (public consultation, January 2026), Rwanda's National AI Policy, and the ECLAC-CENIA Latin American AI Index (ILIA 2025). Applying a comparative governance lens, the analysis identifies three regulatory models: statutory risk-based regulation, soft-law compliance frameworks, and developmental AI strategy. Investment implications specific to each model are drawn out, with attention to regulatory divergence, compliance costs, and capital allocation signals.