As enterprises and governments race to deploy AI, sovereignty has become a defining requirement. Regulations increasingly mandate that data, models, and inference remain within defined geographic or jurisdictional boundaries. At the same time, AI workloads are becoming more distributed executed across multi-cloud, edge, and colocation environments. This creates a fundamental challenge: how to ensure deterministic, sovereign AI execution while maintaining resilience and performance in globally interconnected systems. Building on the emerging concept of Neoclouds – distributed, sovereignty-aware cloud environments spanning hyperscaler regions, sovereign data zones, and edge colocation sites, this paper examines their implications for timing and synchronization. While Neoclouds are being discussed in policy and architectural circles, their success depends on synchronization frameworks that can guarantee temporal integrity, data traceability, and deterministic inference pipelines across distributed domains. Our contribution explores three dimensions: Time-Synchronization as a Sovereignty Enabler – how sub-microsecond synchronization supports compliance (e.g., jurisdictional logging, financial traceability) and protects against replay or tampering in sovereign AI environments. Architectural Patterns for Neoclouds – how interconnection fabrics, timing distribution, and policy-based routing can be combined to create jurisdiction-bound yet resilient AI execution environments. Operational Lessons – from hybrid deployments where timing was used to validate locality, detect cross-border data movement, and support AI observability. Key insights include the need for synchronization frameworks that are both technically precise and audit-ready, bridging regulatory compliance with timing science. We show how timing primitives can serve as anchors of trust – verifying where and when AI computations occur, ensuring resilience against both GNSS vulnerabilities and jurisdictional violations. For the WSTS community, this work situates Neoclouds and AI sovereignty as an emerging application domain where synchronization is not a background utility but a frontline enabler. By linking timing, sovereignty, and AI resilience, we highlight an opportunity for standards bodies and timing experts to shape the future of distributed intelligence.