Top 1% of Firms Now Spending $7,500 Per Employee Monthly on AI

Summary

Ramp's new AI Index research reveals significant disparities in how American businesses are investing in AI infrastructure. The 'AI-pilled' top 1% of firms are spending $7,500 per employee per month on AI compute and services—a substantial figure that nonetheless remains below the median software engineer salary of roughly $16,000 monthly. The research exposes a dramatic adoption gap, with the top 10% spending about $611 per employee monthly, while the median company spends just $11.38 per employee per month.

Despite these wide gaps, AI spending is accelerating rapidly among industry leaders. Among the top 1% of firms, spending grew 14.1% per employee last month alone, driven by companies mixing and matching multiple frontier AI models while accessing cheaper open-source alternatives. The findings underscore a critical inflection point in enterprise AI adoption, where sophisticated companies are making massive capital commitments to AI infrastructure while the long-term ROI remains uncertain.

• Leaders employ multi-model strategies, combining expensive frontier platforms with cheaper open-source solutions

Editorial Opinion

The emergence of a true 'AI-pilled' segment spending $7,500 per employee monthly signals that enterprise AI has definitively moved beyond pilot projects to serious capital allocation. However, the staggering 600x gap between leaders and median companies reveals that AI adoption remains highly concentrated among the most sophisticated firms, raising questions about whether smaller competitors can catch up. As spending accelerates at 14% monthly growth rates, the critical question evolves from 'Can we afford AI?' to 'Can we extract enough value from these investments to justify the mounting costs?'