Well, Actually, AI Is Not the Labor-Saving Device You Think It Is: A Lesson from Coal
The Jevons Paradox, first observed in 1865 when more efficient coal burning led to more coal consumption, now applies to AI. As AI tools become more efficient, overall demand for AI services increases rather than decreases. This dynamic is reshaping pricing models, access structures, and sustainability calculations across the AI economy.
This teaches you to anticipate second-order effects when adopting efficiency tools. The system-level impact of your individual time savings may be increased total workload, not leisure. Plan your pricing and capacity accordingly.
Startups and small businesses navigating the AI economy, as analyzed by Alison Coleman in Forbes. The paradox itself derives from economist William Stanley Jevons's observations on coal.
Step 1: Pick one repetitive task you currently spend 2 hours on weekly, such as email drafting or scheduling. Step 2: Use a consumer AI tool like ChatGPT or Claude to reduce that task to 30 minutes, then document what you actually do with the 90 minutes saved. Step 3: After one week, compare your total output: you will likely find you have taken on more total work rather than working less, confirming the paradox in your own workflow.