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AWS, Azure, and Google Are Building Identical AI Agent Stacks With Lock-In Risk

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Amazon, Microsoft, and Google have each launched enterprise AI agent platforms in 2026 — AWS Bedrock AgentCore, Azure AI Foundry, and Google Vertex AI — that are architecturally near-identical, comprising a managed runtime, memory, identity, tooling, and observability layers. While the platforms integrate seamlessly with each cloud's existing storage and identity systems, making initial deployment fast, they create deep vendor dependency. Migrating an agent built on one platform to another requires a full rebuild rather than a simple configuration change, since identity bindings, networking, and state storage are all cloud-specific. Open standards like MCP help standardize how agents communicate with tools, but do not address portability of deployment infrastructure or stored state. Experts recommend keeping agent logic in vendor-neutral frameworks, abstracting model selection, and maintaining a cloud-agnostic control plane to avoid being locked into a single provider.

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AWS, Azure, and Google Are Building Identical AI Agent Stacks With Lock-In Risk · ShortSingh