Four Pieces of Enterprise AI Infrastructure to Watch
This article identifies four emerging pieces of enterprise AI infrastructure. Model infrastructure provides model access, hosting, inference, routing, metering, and lifecycle services. Agent infrastructure provides runtime, identity, tools, state, observability, and lifecycle management for agents. MCP infrastructure governs standardized access to tools and services. Context infrastructure assembles trusted enterprise context across metadata, semantics, ownership, provenance, policy, and operational state. Existing services from Microsoft, AWS, Google, and others show that these categories are already beginning to take shape.