AI Governance Without Compute: Why Policy Fails When Infrastructure Isn’t Part of the Conversation

Short summary

AI governance frameworks routinely ignore the compute infrastructure needed to actually deploy, monitor, and maintain AI systems, rendering policy aspirational rather than actionable. The global AI divide is fundamentally about access to compute, data pipelines, and operational tooling — not just access to models. Without treating infrastructure as a first-class policy concern, governance collapses into paperwork and structural inequality deepens.

• •Governance frameworks assume compute access that most countries lack
• •The AI divide is about infrastructure, not model access
• •Infrastructure must be treated as a core policy concern alongside governance training

Generated with AI, which can make mistakes.