Jevons paradox in AI: falling token prices keep GPU demand tight
AccBalanced · x · 2026-10-11
Investor Puru Saxena argues AI inference is a Jevons paradox in real time: cheaper tokens (efficiency, competition, Blackwell-scale gains) unlock agentic workflows, more coding and automation, so total token volume grows faster than unit costs fall — keeping GPUs, HBM, power and data centers scarce. He sees GPU makers and memory/networking/power suppliers as durable beneficiaries, while hyperscalers and neoclouds face margin squeeze if price declines outrun volume growth.
Related event: AI Price Cuts Spark Jevons Paradox Debate Over Compute Demand(2 posts)→
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