This S&P Global 451 Research report explores how AI leaders are architecting networks to support AI at scale. Key insights include: 1) Network planning must anticipate future AI needs, not just react to current use cases. 2) Diverse, hybrid infrastructures—spanning cloud, edge, and on-prem—require flexible, scalable networking. 3) Latency, bandwidth, and availability are foundational for real-time AI workloads. 4) Network segmentation enhances performance and security for AI tasks. Participants cite poor initial planning, legacy systems, and costs as top barriers to AI scaling, reinforcing networking as a critical enabler for enterprise AI success.

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