AI Academy · Book
Module 08 · AI Economics

Module check

18 statements, one from each chapter of the module. Call each one myth or fact. Take it once before the module and again after it: the difference is what the module taught you. Your scores stay in this browser.

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  1. Because the price of an AI answer keeps falling, AI budgets will fall too. From The Economics of AI
  2. The vendor's quote for model usage is a fair estimate of an AI system's annual cost. From Understanding AI Total Cost of Ownership
  3. The model with the lower price per request is the cheaper choice. From Model, Compute and Infrastructure Costs
  4. Data the organization already holds costs close to nothing to use in an AI system. From Data, Integration and Operational Costs
  5. A cheap pilot is good evidence that production will be cheap. From Experimentation vs Production Economics
  6. Cost per model request is a good measure of an AI system's unit economics. From AI Unit Economics and Economics at Scale
  7. The goal of AI FinOps is the smallest possible AI bill. From Cost Optimization and AI FinOps
  8. A vendor's annual price can be compared directly with an internal build estimate. From Build vs Buy Economics and Investment Decisions
  9. If token prices keep falling, the cost of an AI workflow will fall too. From Module 08 Synthesis — Making AI Economically Sustainable
  10. AI economics is just cloud cost management. From The Economics of AI
  11. Staff time spent checking AI outputs belongs in total cost of ownership even when the salaries are already paid. From Understanding AI Total Cost of Ownership
  12. An agent's cost should be measured per completed task, not per model call. From Model, Compute and Infrastructure Costs
  13. Integration cost depends mainly on the number of connections and how often the connected systems change. From Data, Integration and Operational Costs
  14. The most an experiment can be worth is the expected loss it lets you avoid. From Experimentation vs Production Economics
  15. Break-even volume is fixed cost divided by contribution per unit. From AI Unit Economics and Economics at Scale
  16. A budget alert stops spending when the budget is reached. From Cost Optimization and AI FinOps
  17. Buying an AI capability removes the need for engineering work. From Build vs Buy Economics and Investment Decisions
  18. A capability whose value per outcome exceeds its cost per outcome is economically sustainable. From Module 08 Synthesis — Making AI Economically Sustainable