AWS Agent Stack: The Four-Layer Architecture Powering Enterprise AI
This analysis is part of Amazon's AI Business Model Pivot , a deep dive by The Business Engineer.
Key Components
Layer 1: Foundation
The base layer includes Amazon Nova 2 models (the Nova 2 family launched at re:Invent), Trainium2 custom silicon (500K chips in Project Rainier, scaling to 1M), and a $200B…
Layer 2: AgentCore Infrastructure
AgentCore is the governance and control planeโdescribed internally as "Kubernetes for agents." It includes Runtime (framework-agnostic deployment), Policy (Cedar-based…
Layer 3: Frontier Agents
AWS launched specialized AI workers: Kiro codes autonomously for days, Security Agent performs penetration testing and vulnerability scanning, DevOps Agent manages incident…
Layer 4: Integration
The top layer connects agents to the world through Model Context Protocol (MCP) , Powers Extensions with Figma and Netlify partnerships, GitHub integration for Kiro, and Visa…
Real-World Examples
AmazonFigmaAnthropic
Key Insight
The base layer includes Amazon Nova 2 models (the Nova 2 family launched at re:Invent), Trainium2 custom silicon (500K chips in Project Rainier, scaling to 1M), and a $200B backlog with "unannounced October deals exceeding all Q3 deal volume." The Anthropic partnership adds Claude as a key model available through Bedrock.
At re:Invent 2025, AWS unveiled a comprehensive four-layer agent technology stack that represents its most ambitious platform play since the original cloud infrastructure โ as explored in the economics of AI compute infrastructure โ offering.
Layer 1: Foundation
The base layer includes Amazon Nova 2 models (the Nova 2 family launched at re:Invent), Trainium2 custom silicon (500K chips in Project Rainier, scaling โ as explored in the emerging fifth paradigm of scaling โ to 1M), and a $200B backlog with “unannounced October deals exceeding all Q3 deal volume.” The Anthropic partnership adds Claude as a key model available through Bedrock.
Layer 2: AgentCore Infrastructure
AgentCore is the governance and control planeโdescribed internally as “Kubernetes for agents.” It includes Runtime (framework-agnostic deployment), Policy (Cedar-based guardrails), Memory (episodic context persistence across sessions), and Evaluations (pre-production testing and validation).
Layer 3: Frontier Agents
AWS launched specialized AI workers: Kiro codes autonomously for days, Security Agent performs penetration testing and vulnerability scanning, DevOps Agent manages incident response and root cause analysis (already deployed at Commonwealth Bank), and Connect handles $1B ARR worth of AI contact center interactions.
Layer 4: Integration
The top layer connects agents to the world through Model Context Protocol (MCP), Powers Extensions with Figma and Netlify partnerships, GitHub integration for Kiro, and Visa Agentic Commerce in AWS Marketplace.
The strategic insight: AWS is building the “full stack for agents”โfrom silicon to specialized workers. Each layer creates lock-in. Together, they create an agentic moat.
What is AWS Agent Stack: The Four-Layer Architecture Powering Enterprise AI?
This analysis is part of Amazon's AI Business Model Pivot , a deep dive by The Business Engineer.
What is Layer 1: Foundation?
The base layer includes Amazon Nova 2 models (the Nova 2 family launched at re:Invent), Trainium2 custom silicon (500K chips in Project Rainier, scaling to 1M), and a $200B backlog with "unannounced October deals exceeding all Q3 deal volume." The Anthropic partnership adds Claude as a key model available through Bedrock.
What is Layer 2: AgentCore Infrastructure?
AgentCore is the governance and control planeโdescribed internally as "Kubernetes for agents." It includes Runtime (framework-agnostic deployment), Policy (Cedar-based guardrails), Memory (episodic context persistence across sessions), and Evaluations (pre-production testing and validation).
What are the layer 3: frontier agents?
AWS launched specialized AI workers: Kiro codes autonomously for days, Security Agent performs penetration testing and vulnerability scanning, DevOps Agent manages incident response and root cause analysis (already deployed at Commonwealth Bank), and Connect handles $1B ARR worth of AI contact center interactions.
What is Layer 4: Integration?
The top layer connects agents to the world through Model Context Protocol (MCP) , Powers Extensions with Figma and Netlify partnerships, GitHub integration for Kiro, and Visa Agentic Commerce in AWS Marketplace.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur (for example, How to Digitize a Family Business in Europe) and HackerNoon. Find him on LinkedIn and Substack. See how we source.
