This white paper outlines the unique requirements that artificial intelligence (AI) applications impose on wide-area networks (WANs). It details how the increasing enterprise investment in AI necessitates modernization of WAN infrastructure to support AI workloads, which require high-bandwidth connectivity and low latency. The paper explains that traditional WAN architectures, designed for asymmetric web traffic, must evolve to accommodate the symmetric traffic patterns of AI applications. It discusses the challenges posed by AI workloads, including their low tolerance for latency and the need for scalable infrastructure to handle bursty traffic patterns. The document also presents the VeloRAIN architecture, which enhances SD-WAN capabilities to meet these demands. It emphasizes the importance of security in scaling WANs for AI, highlighting the necessity for robust cybersecurity measures to protect sensitive data processed by AI applications. Overall, the paper serves as a comprehensive guide for enterprises looking to adapt their WANs for the AI revolution.