IntermediateProduct Managers
AI Product Economics
AI products have fundamentally different economics than traditional software. This path covers token costs, pricing models, ROI measurement, and the financial modeling needed to make AI products sustainable.
4 modules16 steps~3.5 hours
0% complete0/16 steps
Path Progress: 0% (0/16 steps)▾
○Module 1: Understanding AI Costs0/5
○Module 2: Pricing AI Products0/4
○Module 3: Measuring and Presenting AI ROI0/4
○Module 4: Optimizing AI Unit Economics0/5
After completing this path, you will be able to:
- ✓Calculate the true cost of AI features including inference, evaluation, and maintenance
- ✓Model different pricing strategies for AI-powered products
- ✓Build and present ROI cases for AI investments
- ✓Monitor and optimize AI feature unit economics
Prerequisite: AI Product Management Fundamentals
Learning Objectives
- •Break down the cost components of AI features
- •Calculate token costs and per-interaction economics
- •Compare cost structures across different AI approaches
Learning Objectives
- •Compare token-based, usage-based, and outcome-based pricing
- •Model pricing scenarios for AI features
- •Avoid common AI pricing mistakes
Learning Objectives
- •Build an ROI model for AI features
- •Calculate payback periods and NPV for AI investments
- •Present AI ROI to non-technical stakeholders
Learning Objectives
- •Set up economic monitoring for AI features
- •Identify and fix cost inefficiencies
- •Make data-driven decisions about model selection and architecture
Path Progress
0% complete0/16 steps
○Understanding AI Costs0/5
○Pricing AI Products0/4
○Measuring and Presenting AI ROI0/4
○Optimizing AI Unit Economics0/5
0 of 16 steps completed