---
id: "concept-token-economics"
type: "concept"
source_timestamps: ["00:21:06", "00:22:05"]
tags: ["economics", "operations", "skill-7"]
related: ["concept-task-decomposition", "action-calculate-token-economics", "framework-7-ai-skills"]
definition: "The skill of calculating, prototyping, and optimizing the token costs of AI models to ensure multi-agent systems deliver a positive return on investment."
sources: ["s42-job-market-split"]
sourceVaultSlug: "s42-job-market-split"
originDay: 42
---
# Cost and Token Economics

## Skill #7 of [[framework-7-ai-skills]]

The **applied mathematics** of running AI systems in production.

Because API calls to frontier models are expensive, practitioners must be able to:

- Calculate the **cost per token** for a given task.
- Determine if building an agentic system yields a **positive ROI**.
- Prototype a task and cycle through different models (frontier vs. mid-tier vs. small).
- Calculate the **blended cost** of a multi-agent run.
- Mathematically justify large token expenditures (e.g., a billion-token system) to the business.

## How decomposition helps

Intelligent [[concept-task-decomposition]] lets practitioners route trivial subtasks to small models and reserve frontier models for tasks that genuinely require them, dramatically lowering blended cost.

## Action

Apply [[action-calculate-token-economics]] to any agentic system before deployment.