Tokenomics: The Economics of the AI Token Era
The Practitioner's Guide to AI Cost, Consumption, and Value
Is the AI Worth It?
Stop letting unpredictable AI invoices catch your boardroom off guard. Master the economics of the AI token era.
The Problem
In 2023, an AI feature working was worth celebrating. In 2026, an AI feature working often opens an invoice that looks like a typo.
AI is an economic layer. Every prompt, agent loop, and generated output carries a cost. A single token does four jobs at once: the cognition produced, the compute served, the price charged, and the value extracted.
Yet 73% of enterprises blow their AI budgets.
The Jevons Paradox
Frontier model costs are down 88% since 2023, yet enterprise AI spend continues to surge. Making tokens cheaper unlocks massive demand—moving from simple reasoning to complex agentic workloads. Lower unit costs scale your consumption.
What You Will Learn
Based on the Tokenomics Foundation framework, this book maps the chain from Energy to Intelligence to Value:
Production: How data centers turn energy and capital into compute.
Consumption: How teams burn tokens and manage model rate cards.
Value: How to measure return on intelligence.
Built For Practitioners
Engineering Leaders: Optimize agent loops and inference overhead.
FinOps & Finance: Forecast variable costs and establish unit economics.
Executives: Answer whether AI drives real business value.