Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario
2026-10-12
Summary
The article discusses how the decreasing prices of AI tokens are driving increased demand in the AI market, a phenomenon described by Jevons' paradox. Despite the falling token prices, the cost of renting GPUs like the H100 remains steady or even increases, as cheaper tokens enable more AI applications and automation, leading to a faster growth in volume than the decrease in per-unit costs.
Why This Matters
This trend is crucial because it highlights how the AI industry's growth is linked to maintaining a balance between falling token prices and rising demand for computational resources. The scenario also underscores potential economic risks if demand doesn't grow fast enough, affecting the entire supply chain from chip makers to cloud service providers.
How You Can Use This Info
Professionals can use this information to anticipate market dynamics in the AI industry, particularly the importance of monitoring demand growth relative to cost reductions. Staying informed about these trends can help businesses plan for future investments in technology and infrastructure, ensuring they are prepared for shifts in the AI landscape.