# 高通 CEO：智能体 AI 将消耗海量 token

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-09-19 12:05
- AIHOT 分数：38
- AIHOT 链接：https://aihot.news/items/cmu7vfqlt0s3yrogr1zcwmlv1
- 原文链接：https://x.com/rohanpaul_ai/status/2101160784915271937

## AI 摘要

高通 CEO Cristiano Amon 表示，Agentic AI 因自主执行任务、调用工具并与多系统交互，token 消耗将远超聊天机器人。聊天机器人把 token 花在语言上，智能体则花在决策、检查、调用工具、读取输出、修改计划和协调软件上。当 SaaS 围绕人机交互重新设计后，软件使用量或将不再以点击、席位或会话衡量，而是以每个用户消耗的机器推理/token 计量。

## 正文

AI will require “gazillions” of tokens.

• Qualcomm CEO Cristiano Amon:

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

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

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

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.

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