AI token 降价反而推高需求，正中 Jensen Huang 下怀
Cheaper AI tokens are driving more demand, and that's Jensen Huang's best-case scenario
a16z 称，Ornn、Silicon Data 和 Bloomberg 截至 2026 年 8 月的数据显示 AI 市场出现教科书式杰文斯悖论：token 价格持续下降，但 H100 GPU 租赁价格保持稳定甚至上涨，更便宜的 token 催动 AI 智能体和自动化应用，用量的增长快于单价跌幅。
Oct 11, 2026
Jevons' paradox is Jensen's best friend. Data from Ornn, Silicon Data, and Bloomberg (as of August 2026) shows what a16z calls a textbook Jevons paradox in the AI market. Token prices keep dropping, but H100 GPU rental prices hold steady or climb. Cheaper tokens unlock AI agents, automation, and new applications, so volume grows faster than per-unit costs fall. How much demand comes from humans versus the systems themselves isn't clear, since agentic AI burns through tokens at a staggering rate. Compute demand could be artificially inflated, and even modest human usage growth could trigger outsized hardware needs.
The whole system rests on one assumption: AI usage has to grow fast enough to offset falling token prices. As long as it does, hardware stays scarce and expensive. If demand flattens, the chain from chip makers and memory suppliers to energy providers and cloud companies takes a hit. Markets could spiral from there, and how sensitive they already are became clear when US stocks dropped on reports that OpenAI's annualized revenue might be lower than previously reported.
AI News Without the Hype – Curated by Humans
Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.
来源：The Decoder · the-decoder.com