行业知识 · v2.3.0 · 资料核对 2026-10-03

AI Unit Economics Model

1. Scenario inputs

Input	Conservative	Base	Upside	Source / assumption
Eligible customers/users
Adoption / active rate
Tasks per active user
Qualified success rate
Input/output tokens
Model/tool calls per task
Retry / failure rate
Human review rate/minutes
Price / value metric

2. Customer value

Value source	Gross value	Adoption/realization	Attributable annual value
Time/capacity
Error/rework
Revenue/retention
Risk/cycle time

3. Cost per task

Cost	Per attempted task	Per successful task	Fixed / variable	Scaling note
Model
Retrieval/storage/network
External tools/data
Retry/failed work
Human review
Support/operations
Evaluation/security/engineering allocation

4. Revenue and contribution

Revenue = billable units × realized price
Variable cost = attempted tasks × cost per attempted task
Contribution = revenue - variable cost - directly attributable service cost
Contribution margin = contribution / revenue

5. Sensitivity

Test model price, tokens, steps, retry, success, human review, adoption, churn, discount, and support burden. Identify the three variables that can reverse the investment decision.

6. Decision

Pricing/packaging choice:
Economic break-even:
Cost ceiling and monitoring:
Experiment required:
Stop or renegotiate trigger: