Term
杰文斯悖论
Next Token / Wiki

Jevons Paradox

The Jevons paradox is an observation in economics: when technological progress makes a resource more efficient and cheaper per unit, total consumption of that resource often rises rather than falls. William Stanley Jevons raised it in 1865 with the example of more efficient steam engines increasing coal use; today it is often applied to AI compute and to demand expanding as model costs fall.

Definition

The Jevons paradox is a classic observation in economics: when technological progress makes a resource more efficient and cheaper per unit, total consumption of that resource often rises rather than falls. William Stanley Jevons raised it in The Coal Question (1865): more efficient steam engines did not reduce coal use but expanded it.

How it works

The mechanism is that efficiency gains lower the cost of use, which creates new applications and brings in more users, so demand expands to offset or exceed the per-unit saving. The logic applies to coal and oil, and equally to compute and tokens.

Usage

This usage appears in Next Token’s discussions, with the AI-compute sense already present in Weekly #001: discussing cheap and open-source models, Yang Pan said they “are expanding — this is the Jevons paradox — expanding the number of consumers, the scenarios, and the experiences,” meaning cheaper models do not reduce total consumption but push AI to more people and more use cases.

It relates to Token Maxxing but sits at a different level: the Jevons paradox is a macroeconomic observation about efficiency and total consumption, while Token Maxxing is the deliberate behavior of individuals or teams maxing out their usage — the former explains the environment the latter lives in; they are not the same kind of concept.

Sources