# 高通CEO：AI将需要"海量"token

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-06-02 00:41
- AIHOT 分数：61
- AIHOT 链接：https://aihot.virxact.com/items/cmpvgs3lc06rosl0z0vea3aze
- 原文链接：https://x.com/rohanpaul_ai/status/2061488227798896869

## AI 摘要

高通CEO Cristiano Amon指出，AI智能体（Agentic AI）因其执行规划、工具调用、验证等自主任务，单次请求的token消耗可能达普通回答的10至50倍以上，因此AI将需要“海量”token。高盛预测，到2030年AI智能体的token使用量将增长24倍，每月可能达120千万亿。同时，推理成本预计年降60%-70%。这标志着软件计量方式可能从按席位/点击转向主要按机器推理/token消耗量计算，Uber和Microsoft等公司已在重新评估高昂的智能体使用成本。

## 正文

New video of Qualcomm CEO Cristiano Amon： AI will require "gazillions" of tokens.

Because， Agentic AI will consume dramatically more tokens because it performs autonomous tasks， uses multiple systems， and interacts with tools.

AI demand will grow hugely when software starts letting agents act， not just answer.

A chatbot spends tokens on language； an agent spends tokens on deciding， checking， calling tools， reading outputs， revising plans， and coordinating with other software.

Today a single human-AI exchange may be large， a reasoning task may be much larger， but we are already entering the agentic era， where an autonomous workflow can become exponentially larger still because the model is no longer producing one response.

It is running a process.

When a SaaS product redesigns itself around human-agent interaction， every task can become a chain of hidden micro-decisions， and each micro-decision consumes context， memory， tool calls， verification， and output tokens.

Another point is people hear "more tokens" and think only of bigger data centers， when the deeper change is economic： software usage may stop being measured mainly by clicks， seats， or sessions.

It will be measured by how much machine reasoning/tokens gets spent on behalf of each user.

----

From "Reuters" YouTube channel， （link in comment）

### 引用推文

> Rohan Paul：Goldman Sachs: "Token use by AI agents is expected to multiply 24 times by 2030" AI agents are now creating the first serious cost test for the AI boom. As was ...