CONCEPT
Jevons Paradox of Labor
The application of William Stanley Jevons's 1865 observation — that greater efficiency in coal use increased rather than decreased consumption — to human labor in the AI economy: productivity improvements do not reduce working hours but expand demand for productive activity.
William Stanley Jevons observed in 1865 that improvements in the efficiency of coal use did not reduce coal consumption but increased it, because greater efficiency made coal cheaper, which expanded the range of applications for which coal was economical. The same paradox operates with human labor in the AI economy: improvements in the efficiency of human work do not reduce working time but increase it, because increased efficiency makes human-directed production cheaper, which expands the range of products and services for which human-directed production is demanded. Breaking this paradox requires political intervention — structures that cap the demand for human labor regardless of how efficiently it can be deployed.
In The You On AI Field Guide
The classic Jevons paradox applied to a commodity — coal — whose demand was elastic with respect to price. Cheaper coal meant more applications, more consumption, more dependence on coal, even as each unit