Sovereign AI is moving from an emerging concept to a strategic priority as organizations seek control over AI systems, data, and dependencies. What started as a concern rooted in cloud sovereignty is expanding across the AI stack, including infrastructure, models, data, vendor ecosystems, operating models, and operations, driven by geopolitical tensions, regulatory pressure, and rising risk awareness. Those who fail to design AI architectures for sovereignty face regulatory lockouts, vendor lock-in, and constrained innovation. This report outlines the key trends for sovereign AI in 2026 and how technology leaders can translate them into actionable strategies.