The loudest AI story in business right now is still layoffs. Ramp's new data says owners should be a little more careful with that assumption.
Ramp published a new working paper on June 30 using firm-level spend data from Ramp joined with workforce data from Revelio Labs. In a sample of more than 21,000 U.S. firms, the company says businesses that invest heavily in AI grow headcount 10.2% over the two years after adoption. Entry-level headcount rises 12% in the highest-intensity group. Source
That does not mean AI is magic. It means the payoffs are showing up where adoption is deep enough to change operations.
Ramp is careful about that point. Its paper says the gains are concentrated in high-intensity adopters, which it defines as firms in the top third of per-employee AI spend during the first three months. Those firms are the ones using multiple models, coding agents, APIs, and other more advanced tools instead of just dabbling with chat subscriptions.
That distinction matters for small businesses. A shallow AI rollout can still feel like a tax: subscriptions, review time, cleanup, and a few marginal shortcuts. A deeper rollout can lower the fixed cost of work enough to unlock more jobs, more output, and in some cases more hiring.
Ramp's own framing points to the same owner takeaway. If you have tried AI and did not see much change, that does not automatically mean the category is a bust. It may mean you have not crossed the threshold where the workflow is actually different.
The practical move is to stop asking whether AI is good or bad for jobs in the abstract. Ask which process it changes, whether the change is strong enough to matter, and what new work becomes possible once the bottleneck moves.
For small businesses, that is the real story here. AI is not just a cost-cutting tool. Used well, it can be a growth tool.