When AI moves to production, infrastructure becomes strategy

The report argues that as AI scales from pilots to production, infrastructure becomes a strategic concern—driven by costs, data sovereignty, latency, resilience, and intellectual property risks—and recommends hybrid deployment models (public cloud for experimentation, private for stable high-volume inference, edge for low-latency needs) plus purpose-built AI platform design.