# Tokenomics at Scale: Track and Cap Amazon Bedrock Spend Per IAM Principal with CUR 2.0 and AWS Budgets

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-11-12T19:29:55.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/tokenomics-at-scale-track-and-cap-amazon-bedrock-spend-per-iam-principal-with-cur-2-0-and-aws-budgets)  
> **Canonical Citation:** [https://spidits.com/timeline/tokenomics-at-scale-track-and-cap-amazon-bedrock-spend-per-iam-principal](https://spidits.com/timeline/tokenomics-at-scale-track-and-cap-amazon-bedrock-spend-per-iam-principal)

## Executive Summary
Get per-identity Amazon Bedrock cost visibility and enforceable spend limits using only AWS-native features, with no application code for the common case.

## Why It Matters (Strategic Analysis)
Enforcing identity-level financial controls directly within cloud control planes eliminates custom monitoring code while mitigating cost overruns in multi-tenant LLM environments. Tying cost allocation tags directly to IAM identities bridges the gap between infrastructure governance and financial management.

## Referenced Coverage & Sources
- **[AWS ML Blog](https://aws.amazon.com/blogs/machine-learning/tokenomics-at-scale-track-and-cap-amazon-bedrock-spend-per-iam-principal-with-cur-2-0-and-aws-budgets)**: Tokenomics at scale: Track and cap Amazon Bedrock spend per IAM principal with CUR 2.0 and AWS Budgets — _Get per-identity Amazon Bedrock cost visibility and enforceable spend limits using only AWS-native features, with no application code for the common case..._

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