
AI, explained by economics. A short book by Allan Pedersen.
The confusing parts of the AI story — the half-trillion-dollar spending spree, the hype, the job fears, the chip wars — become legible through the ordinary tools of a first economics course: supply and demand, production, cost, competition, externalities. Each of the fifteen short chapters opens with one concrete puzzle from the news and resolves it with one economic tool, ending with a “What to watch” list of indicators you can check yourself and a “Dig deeper” list of sources. The numbers (marked “as of mid-2026”) will date; the way of thinking, we believe, will not.
This book was written with substantial AI assistance under the author's direction and editorial control — see the disclosure in the front matter.
Contents
- · Front matter
- 1 Why economics explains AI better than computer science does
- 2 Supply, demand and the price of thinking
- 3 The AI production function: compute, data, talent, power
- 4 Costs: why intelligence is expensive to make and almost free to copy
- 5 Market structure: from one chipmaker to a handful of model-makers
- 6 Strategy and game theory: the race
- 7 Work: tasks, not jobs
- 8 Productivity and growth: the trillion-dollar question
- 9 The boom: investment, bubbles and what is left after one
- 10 Who wins: distribution and inequality
- 11 Information: markets in the age of infinite content
- 12 Who pays? Externalities, commons and public goods
- 13 Regulating a moving target
- 14 Trade, chips and the new mercantilism
- 15 The far horizon: economics when machines can do everything