Jevons paradox

Explanation

William Stanley Jevons observed that more efficient steam engines made coal a cheaper source of useful work, encouraged more applications, and helped expand coal consumption instead of simply conserving fuel.

The same mechanism could apply to AI: cheaper inference may lead to more users, more automated tasks, and far more model calls. A rebound effect merely offsets some efficiency savings; the full Jevons paradox is the stronger case in which total use actually rises, and it is a possibility rather than an automatic rule.