ai capacity planning

AI chip shortages are forcing enterprise technology buyers in 2026 to treat artificial intelligence capacity as a constrained infrastructure resource rather than a normal procurement line item, because the bottlenecks now span GPUs, advanced logic manufacturing, high-bandwidth memory, packaging...

CIOs should trust Azure for Microsoft-adjacent AI workloads, governed enterprise pilots, and applications that benefit from Azure’s managed services, but they should design large GPU-heavy training, latency-sensitive inference, and non-Microsoft-dependent AI platforms for portability until power...