AI

    Firms That Adopted AI Heavily Grew Headcount 10%, New Ramp Study Finds

    A Ramp and Revelio Labs paper linking AI spending to workforce data across 21,000 US businesses found heavy adopters added jobs, while low adopters saw no change

    By ·WYDE Newsroom· 2 min read
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    Firms That Adopted AI Heavily Grew Headcount 10%, New Ramp Study Finds

    Key Takeaways

    • A Ramp and Revelio Labs study of 21,000 US firms found that heavy AI adopters grew headcount about 10% over the two years after adoption.

    • Entry-level roles grew faster at those firms, up about 12%, while companies that spent little on AI saw no statistically significant change.

    • The finding is a correlation, not proof that AI creates jobs, but it cuts against the idea that buying AI means cutting staff.

    A new study pushes back on the idea that AI is destroying jobs. Ramp economist Ara Kharazian shared a paper he wrote with Revelio Labs that links firm-level AI spending to workforce data across 21,000 US businesses, and the headline finding is that companies adopting AI heavily grew their headcount.

    What the data shows

    Firms in the top third of AI spending, which works out to about $33.67 per worker per month, grew headcount roughly 10% over the two years after they adopted AI. Entry-level roles grew even faster at those firms, up about 12%. Companies that spent little on AI saw no statistically significant change either way. The Financial Times, which covered the paper, summarized it the same way: more AI spending lined up with more workers, not fewer.

    What it does not prove

    The finding is correlation, not proof that AI creates jobs on its own. Firms that are already growing may be the ones with the budget and ambition to adopt AI, so some of the headcount gain reflects healthy companies doing what healthy companies do. The study also measures jobs inside adopting firms, not across the whole economy, so it does not rule out losses at competitors that fell behind. What it does undercut is the simple story that buying AI means cutting staff.

    Why it matters now

    The fear is driving policy. States and nonprofits are spending to retrain workers, including the $1 billion RAISE US workforce effort, on the assumption that AI will displace millions. This data suggests the early reality inside companies is more mixed, and closer to the pattern WYDE has tracked as firms put AI into everyday work, from DoorDash paying gig workers to train its models. The question is no longer whether AI changes work. It is who gains and who is left behind.

    People Also Ask

    Does AI reduce the number of jobs?

    A 2026 study from Ramp and Revelio Labs found that firms adopting AI heavily grew headcount about 10% over two years, while low adopters saw no significant change. It measures jobs inside adopting firms, not the whole economy.

    How was the AI jobs study conducted?

    It linked firm-level AI spending data from Ramp to workforce records from Revelio Labs across 21,000 US businesses, comparing headcount before and after AI adoption.

    What counts as heavy AI adoption in the study?

    The top third of firms by AI spending, which averaged about $33.67 per worker per month.

    Does the study prove AI creates jobs?

    No. The result is a correlation, and growing firms may be the ones that adopt AI. It challenges the idea that AI means cutting staff, but it does not prove AI causes hiring.

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