Ramp and labor-market analytics firm Revelio Labs have published their June 2026 study on generative AI adoption, and the headline finding is pretty straightforward: U.S. companies that spend the most on generative software aren’t necessarily shrinking their workforce. Looking at 21,559 firms, Ramp and Revelio found that high-intensity adopters grew headcount by 10.2% in the two years after adoption. In the first three months, those companies spent about $33 per employee per month, compared with $3 for low-intensity adopters. And only the heavy spenders posted gains that were statistically significant.
The hiring wasn’t limited to engineering, either. It showed up across sales, marketing, administration, finance, and customer service, while entry-level jobs rose by about 12%, according to the Ramp and Revelio Labs study. That points to something more gradual than the usual instant-replacement narrative: when companies get past the trial phase, fold these tools into daily work, and rebuild workflows around them, the impact seems to build over months and years rather than immediately wiping out writing, summarizing, coding, and routine office tasks.
Still, if you follow this debate, the Ramp and Revelio Labs report is worth your time.
Just read it alongside the other labor-market reports from 2026, which paint a messier picture: job losses in finance and information averaging 28,000 a month, nearly 102,000 automation-linked cuts concentrated mostly in tech, experts split on whether AI is automating tasks or replacing people outright, and forecasts that are all over the map, from the World Economic Forum’s projected net gain of 58 million jobs to Goldman Sachs’ estimate that 300 million jobs are exposed, with McKinsey & Company putting the number somewhere between 20 million and 50 million by 2030.
You can read the Ramp and Revelio Labs study online.
