AI token demand could reach 120 quadrillion a month by 2030, post argues
bittingthembits · x · 2026-07-29
Goldman Sachs is being used here as a backdrop for an argument that AI token demand could explode by 2030.
- The post cites a projection of 120 quadrillion AI tokens per month by 2030, then argues the real number could be several times higher if agents keep running continuously.
- It compares current token prices across frontier models and smaller inference providers, then extrapolates what that usage would mean at different price points.
- At $1 per million tokens, the author estimates $120B/month of inference spend.
- At an assumed average of $0.10 per million tokens, the estimate becomes $360M–$480M/month, or $4.3B–$5.8B/year.
- The core thesis is that agent workloads won’t be one-off requests; they’ll keep calling models, so token volume and inference revenue could be much larger than today’s chat usage.
Related event: Goldman Sachs Predicts 70x Surge in AI Token Processing by 2030(2 posts)→
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