@levie: Agents spawning other agents, agents operating in the background on every task, and agent swarms will consume 1,000X mo…

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Summary

Aaron Levie argues that agent swarms and background AI agents will consume 1,000X more tokens than one-at-a-time prompting, making plain chat-style AI usage a relic within a year or two and driving massive demand for compute and infrastructure.

Agents spawning other agents, agents operating in the background on every task, and agent swarms will consume 1,000X more tokens than people prompting agents 1 at a time. The usage of AI as a chat system that can only work for you at the pace that you can prompt it will seem like a relic within a year or two. The vast, vast majority of tokens will be consumed by agents that are just doing continuous work for us in the background and in our workflows. This is why we’re still so early in the curve of AI agent adoption right now, and how much more compute and infrastructure build out will be needed to sustain this.
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Cached at: 10/11/26, 03:15 PM

Agents spawning other agents, agents operating in the background on every task, and agent swarms will consume 1,000X more tokens than people prompting agents 1 at a time.

The usage of AI as a chat system that can only work for you at the pace that you can prompt it will seem like a relic within a year or two. The vast, vast majority of tokens will be consumed by agents that are just doing continuous work for us in the background and in our workflows.

This is why we’re still so early in the curve of AI agent adoption right now, and how much more compute and infrastructure build out will be needed to sustain this.

a16z (@a16z): Your next users are machines

Agents burn nearly 5x the tokens people do, up 14x in six months

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Aaron Levie 借 Prime Intellect 的最新实验指出,AI 智能体群将是未来 token 消耗的主要场景,可在软件开发、网络安全、生命科学等企业领域并行协作,实现人类无法企及的执行方式,这也是未来需要 1000 倍算力的原因。Prime Intellect 的 Prime Agent 此前指挥超过 2000 个智能体在两周内用 Rust 重写自身,消耗了 2000 亿以上 GLM-5.3 token。