This analysis is part of Amazon’s AI Business Model Pivot, a deep dive by The Business Engineer.

AWS and Google Cloud represent fundamentally different strategies in the agent platform war. The winner depends on what enterprises value more: optionality and governance, or model leadership and research.
Foundation Models: Marketplace vs Vertically Integrated
AWS runs a multi-model marketplace (Nova 2, Claude/Anthropic, Llama, Mistral, AI21). Google is vertically integrated around Gemini 2 with DeepMind research and in-house development. AWS bets on hedged optionality; Google bets that the best model wins the market.
Agent Infrastructure: Governance vs Capability
AgentCore is governance-first with Policy (Cedar), Guardrails, Memory, and Evaluation—an enterprise control plane. Vertex AI Agents is capability-first with Grounding, Extensions, Reasoning, and Tools. AWS leads on enterprise governance maturity.
Cloud Growth: Scale vs Momentum
AWS has steady growth on a massive base: $132B annual run rate, +20% YoY. Google has rapid growth on a smaller base: $43B annual run rate, +34% YoY—the fastest growing hyperscaler. Google has growth momentum (34% vs 20%), but AWS is 3x larger.
Consumer AI Presence
AWS leverages commerce + voice: Rufus (250M users) and Alexa+ (500M devices). Google leverages Android + search: Gemini across Search, Gmail, YouTube, Docs, with Android reaching 3B+ active devices. AWS has purchase intent (monetizable); Google has reach (broader distribution).
The bottom line: AWS bets on optionality + governance. Google bets on model leadership + reach. The winner depends on what enterprises value more.









