---
schema: 1
type: term
title: Jevons paradox
description: >-
  **Jevons paradox** is the observation, as used in this channel's material,
  that making something more efficient — including human labor — _increases_
  total demand for it rather than decreasing it. Applied to AI: making lawyers
  or engineers 2x more efficient through AI agents increases demand for their
  work, because cheaper expertise lights up entirely new projects and hires.
canonical: >-
  https://liquidgold.cc/channel/everyinc/explore/term/jevons-paradox-de5da4591105
markdown: >-
  https://liquidgold.cc/channel/everyinc/explore/term/jevons-paradox-de5da4591105.md
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# Jevons paradox

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/jevons-paradox-de5da4591105

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

**Jevons paradox** is the observation, as used in this channel's material, that making something more efficient — including human labor — _increases_ total demand for it rather than decreasing it. Applied to AI: making lawyers or engineers 2x more efficient through AI agents increases demand for their work, because cheaper expertise lights up entirely new projects and hires.

**Jevons paradox** appears in this channel's coverage as a way to understand what happens to expert work when AI makes expertise cheaper — especially in Box CEO **Aaron Levie's** argument for why AI agents are more likely to _augment_ knowledge workers than replace them.The channel extends the classic paradox from resource consumption to **labor**: making lawyers or engineers 2x more efficient _increases_ demand for their work, rather than shrinking it. As AI drives down the cost of expert output, entirely new projects become affordable and **new hires follow**. This is why the material's most surprising claim holds: *the more we automate, the more expert human work tends to exist* — a human always remains to integrate AI output into real workflows and value creation.\- Jevons paradox here means **efficiency gains increase demand**, not decrease it.\\- Applied to AI and labor: cheaper expertise expands the volume of expert work available.\\- It grounds the channel's argument that agents **augment** knowledge workers rather than replace them.\