Recent data from the Ramp AI Index — which tracks AI adoption among US businesses — show that the top 1 percent of firms are spending roughly $7,500 per employee per month on AI tools and services. By contrast, the median company spends only $11.38 per employee per month, effectively equivalent to a single enterprise seat.
Distribution and figures
- Top 1%: ~ $7,500 per employee per month
- Top 10%: ~ $611 per employee per month
- Median (50th percentile): $11.38 per employee per month (one enterprise seat)
The Ramp AI Index also reports that spending among the heaviest users grew 14.1 percent last month. For context, a software engineer’s monthly pay is about $16,000 — so current AI expenditures have not surpassed typical engineering salaries.
What this means in practice
While the headline $7,500 figure may sound striking, the distribution tells a different story: AI investment is concentrated in a small vanguard of companies rather than being evenly adopted. That top 1 percent are effectively buying productivity and output at a scale the median firm cannot match with a single subscription. The gap — $7,500 versus $11.38 — illustrates that adoption is not a uniform wave but a situation where a few early movers are pulling far ahead.
Implications
The Ramp AI Index data imply that concentrated AI spending could translate into widening productivity gaps between heavy adopters and the rest of the market. Although a subset of firms is rapidly increasing their AI budgets, most companies remain at an early stage of adoption and have not yet seen AI replace significant labor costs.
Summary
The Ramp AI Index highlights a sharply skewed picture of AI spending in the US: a very small share of firms invest thousands of dollars per employee each month, while the typical firm spends marginally. That concentration may drive competitive advantages for the heaviest users as their AI investment and associated productivity grow month to month.
