Companies spending more heavily on AI are also adding workers, according to a new report that complicates the debate over whether workplace automation is replacing human jobs.
The report, from Ramp and Revelio Labs, looked at more than 21,500 US companies by combining AI spending data from Ramp’s payments platform with workforce records from Revelio Labs. It found that businesses classed as high-intensity AI adopters increased headcount by about 10% during the first two years after deploying the technology.
The finding matters because AI has often entered the workplace conversation through layoffs, hiring freezes and worries over entry-level jobs. But early results suggest the pattern may be less direct than the simplest version of that fear: firms making larger AI bets may need more people once the tools are folded into sales, marketing, finance, administration, customer service and other roles.
The report defined high adopters as companies spending around $33 per employee each month during the first three months after adoption. Low adopters spent around $3 per employee each month and did not show the same workforce gains.
The approach challenges a common assumption about junior roles. The report said entry-level employment rose by about 12% at high-intensity AI adopters, a higher rate than the overall headcount growth found in the study.
But the report also put a time lag on the hiring effect. Companies did not add workers immediately. The workforce gains appeared after businesses had time to test use cases, change workflows and work out where AI could be useful.
The findings do not settle the long-term labor debate. They do show that, at some companies, adopting AI has been followed by more hiring rather than a clean swap of software for staff.
