AWS raises AgentCore runtime quotas up to 5x to help enterprises scale AI agents

The quota increase directly targets a scaling bottleneck for enterprise agent deployments: previously, teams had to request quota bumps to run large concurrent agent workloads. Now AgentCore supports up to 5,000 active concurrent sessions in major US regions and 2,500 in others out of the box, removing friction for enterprises spinning up agent fleets.

The Aily Labs partnership complements this by putting AI Decision Intelligence agents on AWS Marketplace and Bedrock, enabling Fortune 500 companies to deploy and scale AI-driven decision-making within their secure AWS environments. Together the moves deepen AWS's enterprise-agent stack at the exact moment it's staffing a $1B FDE org to help customers deploy those agents.

The competitive context is a broad AWS platform push this week — SageMaker Unified Studio Terraform support, CloudFormation Express mode, Bedrock AI-generated-phishing detection, and Graviton-powered Redshift RG — all reinforcing AWS's infrastructure-as-code and agent-operations story. The caveat developers raised is cost: higher concurrency quotas make it easier to scale, but also easier to run up large bills, echoing concerns about AgentCore session economics. Watch whether the raised quotas translate into measurable enterprise agent adoption or just remove a ceiling few had hit.