‘AI-pilled’ firms spend $7,500 per employee each month on AI

“AI 狂热”企业每月为每位员工投入 7,500 美元用于 AI

An Nvidia executive recently said that the cost of compute is now greater than the salaries of his employees. Last week, Mercor’s CEO said the startup is spending more on tokens for internal agents than on employee headcount. As enterprises blow through their token budgets, a big question is: Are companies actually spending more on AI than on humans?

英伟达的一位高管最近表示，目前的计算成本已经超过了员工的薪资总额。上周，Mercor 的首席执行官也表示，这家初创公司在内部智能体（agents）的 Token 消耗上的支出，已经超过了员工的人力成本。随着企业不断突破其 Token 预算上限，一个核心问题随之浮现：公司在 AI 上的投入真的已经超过了在人力上的投入吗？

Not quite yet, according to fresh research from the Ramp AI Index, which measures the adoption rate of AI among American businesses. The top 1% of firms — which Ramp describes as “AI-pilled” — are spending $7,500 per employee per month. Whether you think that’s a lot or a little depends on your perspective, but it’s certainly not more than the roughly $16,000 per month the average software engineer makes.

根据衡量美国企业 AI 采用率的“Ramp AI 指数”的最新研究，答案尚且是否定的。Ramp 将排名前 1% 的企业称为“AI 狂热”（AI-pilled）公司，这些公司每月为每位员工投入 7,500 美元。无论你认为这个数字是大是小，这显然还没有超过普通软件工程师每月约 16,000 美元的薪资水平。

And those are just the power users. The top 10% spend about $611 monthly per employee, and the median only spend about $11.38, or about the cost of a seat on an enterprise plan. That said, despite pressures, AI spending is still rising. Among the AI-pilled firms, spend grew 14.1% per employee last month.

而这仅仅是针对重度用户而言。排名前 10% 的企业每月为每位员工投入约 611 美元，而中位数支出仅为 11.38 美元左右，大约相当于一个企业版账号的费用。尽管如此，在各种压力之下，AI 支出仍在持续增长。在那些“AI 狂热”企业中，上个月每位员工的 AI 支出增长了 14.1%。

It’s not yet clear if that trend will continue. The top 1% of firms tend to mix and match, opting to bounce between multiple frontier models and platforms that give them access to cheaper open source models.

目前尚不清楚这种趋势是否会持续下去。排名前 1% 的企业倾向于混合搭配使用，选择在多个前沿模型和平台之间切换，以获取更便宜的开源模型。