This infographic explains how enterprise AI evolves from experimental copilots to business-critical production systems through three stages of inference maturity: AI-assisted, AI-enabled, and AI-native. As AI workloads mature, organizations increasingly prioritize low-latency inference, with AI-native teams six times more likely to require near real-time responses and twice as likely to prioritize automated traffic steering. The infographic also illustrates a shift toward distributed cloud inference, where AI models run closer to users and data to reduce latency, improve scalability, and support real-time applications. Emerging use cases include workflow automation, customer engagement, trust and moderation, fraud detection, and business decisioning, demonstrating how proximity-aware infra

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