The Tokenpocalypse Is Here: Companies Are Scrambling To Stop Spending So Much on AI
Author: Joseph Cox Date: June 24, 2026 Publication: 404 Media Archive: https://archive.ph/RfkPU
⚠️ 重建说明：原文有付费墙。以下内容综合 404 Media 免费预览 + futuretechmarkets / xeber.world / singularity.kiwi 三个转载源重建，它们均直接引用 404 Media 获得的 Accenture 泄露内部音频。
中文摘要
咨询巨头 Accenture 正试图阻止非技术员工在 trivial 任务上烧光公司 AI token 预算。404 Media 获得的泄露内部音频揭示了以下关键信息：
谁在烧 token？ Accenture agentic AI 策略负责人 Justice Kwak 明确表示：驱动 token 消耗的不是工程师，而是非技术员工——他们在用前沿模型做"把 PDF 转成 PPT"这类根本不需要 AI 的任务。
烧到什么程度？
- Accenture 内部看到 "soaring token spend"（飙升的 token 支出）
- Kwak："AI 正成为成本结构中实质性的一部分；支出变得完全不可预测"
- "这不是一个小众问题，每个企业都面临这个问题"
- CFO/COO/CIO 级别的领导层在追问：花的钱到底有没有价值？
行业连锁反应：
- GitHub Copilot 从 $10/月固定订阅转为按 token 计费
- Uber 四个月烧完全年 AI 预算，随后限制 Claude Code 和 Cursor 使用
- Accenture 自身要求高级员工使用 AI，否则影响晋升；同时又在试图劝阻"过度使用"
- Accenture 正在开发一个叫 "Token IQ" 的工具来帮助客户理解 token 经济学
核心矛盾： 当管理层无法预知一个任务需要多少 token、AI 会在第几次尝试才做对、输出会不会是幻觉——如何衡量 ROI？
原文内容（综合重建）
导语
Consulting giant Accenture is trying to figure out how to stop non-technical workers from blowing through companies' AI token budget on trivial tasks like converting PDFs to presentation slides, according to leaked audio obtained by 404 Media. Across the industry Accenture is seeing "soaring token spend," according to the audio.
行业转折点
The news highlights a major shift in the tech industry and other companies that use AI: the wave of uninhibited AI growth is over.
Some AI providers like GitHub are now charging customers per token rather than a flat subscription fee, leading some companies to burn through their tokens. Uber recently capped employees' use of AI tools like Claude Code and Cursor; that came after Uber told employees to use AI as much as possible and Uber's CTO said the company had blown its entire AI budget in four months. And Accenture itself reportedly started requiring senior staff to start using AI or risk losing out on promotions.
It also undercuts the narrative that superpowered engineers generating mountains of code are behind the AI boom. In many cases it is non-technical staff burning through tokens for non-specialized tasks.
泄露音频核心内容
Justice Kwak（Accenture agentic AI 策略负责人）：
"We're seeing from some of the data internally at least that it's actually not our engineers that are driving the token consumption. It's a lot of the non-engineers that are doing some of those behaviors [...] you were talking about."
在会议中，Kwak 和 Eduardo Salamanca de Diego（Accenture Center for Advanced AI 高级产品管理经理）讨论了 "token ops"——用于描述 token 消费模式的概念。
当 Kwak 准备展示幻灯片时，Accenture 客户组负责人 Stuart Henderson 开玩笑说他希望 Kwak 没有用 AI 把 PDF 转成图片再转成 markdown 文件：
"I'm learning that's one of the big token chewers. Turning PDFs into markdown: is that right?"
Kwak 确认了 Accenture 数据确实显示一些根本不需要 AI 的任务在消耗大量 token，而非技术员工的过度使用是主因。
Kwak 进一步阐述：
"What we're seeing right now is just rapid escalation in AI token spend. As companies start to scale AI, moving from simple chatbots into use cases that feature agentic workflows and automation and then enterprise-wide deployment of some of these tools like Copilot, Claude Code, and Codex, we're hitting this inflection point where AI is becoming material to the cost structure; spend is becoming very unpredictable; and leadership, especially at the CFO, COO, and CIO level, are still asking the question of whether they're getting value from what we're spending on in the context of AI."
"It's really not a niche problem. It is a problem that every enterprise [is facing]."
Accenture 的困境与应对
Accenture 发现自己处于一个矛盾的位置：一方面鼓励客户大规模采用 AI，另一方面又不得不劝阻过度使用，或至少鼓励"更有纪律地使用"。
它现在将自己定位为帮助客户 "think about token economics" 的顾问角色。据会议透露，Accenture 正在开发一个名为 "Token IQ" 的工具来为客户提供建议，但目前尚未正式公布。
组织内部似乎已经形成了一种任务层级文化（task hierarchy）——有些任务被认为"值得"消耗 AI token，而有些则不值得。
核心矛盾：无法衡量的 ROI
When you can't know how many tokens a task will take to complete, or whether the task will be completed effectively on the first, second, or third attempt; when you can't completely control the length of the output, or know whether that output will be wrong, or a lie, or just a random hallucination — how do you measure return on the investment in that tool?
相关事件时间线
| 时间 | 事件 |
|---|---|
| 2026-02 | Accenture 要求高级员工使用 AI，否则影响晋升 |
| 2026 年初 | Uber 向 5000 名工程师推广 Claude Code，鼓励尽量使用 AI |
| 2026-05 | GitHub Copilot 从固定订阅转为按 token 计费 |
| 2026-06 | Uber CTO 透露四个月烧完全年 AI 预算，随后限制 Claude Code/Cursor |
| 2026-06-24 | 404 Media 发布 Accenture 泄露音频报道 |