Agent Economics 101

Understand the true cost and value of your agents—beyond anecdotes.

Agentic AI changes the cost structure of work and requires new metrics. Use this calculator to answer: "Are these agents paying off?"

Agent TCO vs FTE Calculator

Compare the total cost of ownership for an AI agent versus human labor

Inputs

10,000 tasks

How many tasks does this agent handle per month?

100 tasks1,000,000 tasks
1,500 tokens

Average tokens consumed per task (prompt + response)

100 tokens100,000 tokens
0.003 $

Your LLM provider's pricing per 1,000 tokens

0.001 $0.1 $
500 $

Hosting, compute, storage allocated to this agent

0 $50,000 $
3,000 $

Engineering, ops, and support costs allocated to this agent

0 $100,000 $
8 minutes

How many minutes would a person spend on this task?

1 minutes480 minutes
80 $/hour

Total compensation + benefits + overhead per hour

20 $/hour500 $/hour

Results

Agent cost per task
$0
Total agent cost divided by number of tasks
Human cost per task
$0
Fully loaded labor cost per task
Monthly agent cost
$0
Total monthly cost to run this agent
Monthly human cost
$0
Cost if humans performed all these tasks
Monthly savings
$0
Difference between human and agent costs
Cost reduction factor
0
How many times cheaper the agent is vs. humans
Understanding Agent Economics

This calculator helps you understand the true unit economics of your AI agents. Many organizations focus only on model API costs, missing 60-80% of total cost (infrastructure, maintenance, engineering time). Conversely, they often underestimate the fully loaded cost of human labor (salary + benefits + overhead + management time). The most mature organizations track these metrics per agent and use them to prioritize which agents to scale vs. sunset.

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