Rohan Paul· @rohanpaul_ai · X·· 2026-07-02AI 评分70
AI 导读
Meta员工30天内消耗超60万亿模型token,单用户最高达2800亿,人均年token成本约5万美元。多数公司设月额度上限250-4000美元,重度用户数天用尽。编程工具贡献OpenAI和Anthropic超70%的ARR。Perplexity CEO指出,AI使用正转向重度用户:单个工程师年花费可达1000万美元于编码工具,Perplexity Computer用户月支出超1万美元,内部员工已建立多智能体循环架构。Agentic AI正从追逐海量普通用户转向服务少数高效能操作者。
正文 · 原文
Meta employees used over 60 trillion tokens in 30 days, with one user alone consumed 280 billion.
that gives an average close to $50,000 per employee per year of token.
- SemiAnalysis Report
Most companies now set monthly caps, but the numbers vary from $250 to $4,000.
Some employees barely touch those limits, while power users burn through them in days.
The report estimates coding now explains over 70% of OpenAI and Anthropic ARR.
Perplexity’s CEO Aravind Srinivas is pointing to a quiet shift in AI use: the valuable user is no longer the average user. A single power user can now consume as much compute as an entire small team. "There are real engineers at Meta and other companies spending around $10 million a year per engineer on these coding tools. There are users in Perplexity Computer, who spends upwards of $10,000 a month. Their business runs using agent loops that are running inside these harnesses. Even internally inside our own company, there are some people who have set up these kinds of multi-agent hierarchies and agent loops that look like their own software architecture. I often ask these people to come explain to the rest of the company, “Hey, what are you doing with these tools? You clearly are consuming them way more than what we thought the average person in the company would do.” --- The old software instinct was to chase a billion people doing small actions. Agentic AI changes that math because one skilled operator can create a stream of machine work that runs all day. ---- From "20VC with Harry Stebbings" YouTube channel ( @HarryStebbings ), link in comment在 X 查看被引用的帖子
来源:Rohan Paul · x.com