The Washington Post featured research from Ramp and Revelio Labs in its September 8, 2026 analysis of whether AI is contributing to widespread job losses.
The study linked AI spending with hiring records across more than 21,000 U.S. companies and found that firms adopting AI most intensively grew employee headcount by about 10% over the following two years, while companies with low levels of AI adoption saw no significant employment gain.
Read the full story here.
Companies investing most in AI are also growing
In “AI is not causing a jobs apocalypse,” Christos A. Makridis and Kristen Fanarakis point to the Ramp and Revelio Labs findings alongside new research examining AI use, economic output, and employment.
The Ramp and Revelio Labs study does not establish that AI investment caused the employment growth, but it shows that higher AI adoption and workforce growth can occur together. The authors cite the findings as part of the emerging evidence on how AI adoption is affecting employment.
The study combines Revelio Labs workforce data with Ramp spending data to connect companies’ AI investments with subsequent changes in their workforces.
Read the full Washington Post article for more on the evidence around AI adoption and employment growth.
Read the full article: https://www.washingtonpost.com/ripple/2026/09/08/the-data-are-in-ai-is-not-causing-a-jobs-apocalypse/
FAQ
Are companies investing heavily in AI hiring more?
Research from Ramp and Revelio Labs found that companies adopting AI most intensively grew employee headcount by about 10% over the following two years. The study identifies an association between AI investment and employment growth rather than establishing causation.
How many companies were included in the research?
The Ramp and Revelio Labs study linked AI spending with hiring records across more than 21,000 U.S. companies.
What does Revelio Labs measure?
Revelio Labs provides standardized workforce data covering areas including employment, job postings, hiring, compensation, skills, company headcount, and employee sentiment.