Opinion | The Jevons Paradox and AI

2026-06-10 · Source: Technology - WSJ.com · Field: Finance & Economics — Economic Analysis & Policy, Capital Markets & Investment Management · Depth: Fundamental Awareness, quick

Summary

An analysis published on June 10, 2026, explores the Jevons Paradox's implications for the artificial intelligence industry, particularly concerning AI token pricing and revenue projections. The paradox, named after 19th-century economist William Stanley Jevons, posits that increased efficiency leading to lower costs can paradoxically boost overall consumption. This phenomenon was observed in the coal industry during the Industrial Revolution. Applied to AI, this suggests that even if advancements like the Groq 3 LPU chip drive down the cost of AI tokens, the resulting surge in AI usage could lead to a net increase in industry revenues, potentially offsetting concerns raised by Andy Kessler in his June 1 column, "The Hallucinatory AI Math," regarding collapsing token prices.

Key takeaway

For investors assessing AI sector growth, you should integrate the Jevons Paradox into your revenue models. While individual AI token prices may decline due to efficiency improvements, anticipate that this cost reduction could significantly expand overall AI consumption. This increased demand could drive higher aggregate industry revenues, counteracting simple linear projections based solely on falling unit costs. Factor in potential demand elasticity to avoid underestimating long-term market expansion.

Key insights

Increased AI efficiency may paradoxically boost consumption and overall industry revenues despite falling token prices.

Principles

• Efficiency gains can drive consumption growth.
• Lower costs can expand market demand.

In practice

• Consider demand elasticity when projecting AI revenues.
• Evaluate long-term consumption trends for AI services.

Topics

• Jevons Paradox
• AI Economics
• Token Pricing
• Industry Revenue
• Consumption Growth
• Economic Paradoxes

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Editorial summary, takeaway, and curation by AIssential. Original article published by Technology - WSJ.com.