OpenAI's new report finds AI usage does not boost revenue per employee
OpenAI’s latest 69-page study shows that higher AI activity within firms does not correlate with greater revenue per employee.
OpenAI published a 69-page analysis of enterprise ChatGPT use, highlighting a surge in adoption across seniority tiers but finding no statistically significant link between AI usage metrics and revenue per employee. Companies with higher revenue per employee tend to be early adopters, yet the data do not prove that more AI usage drives additional profit. The study also points out that senior leaders engage with the tool the least, prompting CFO Sarah Friar to advise listening to front-line workers.
In parallel, OpenAI named Dali Rajic as its new chief revenue officer, replacing Denise Dresser after less than a year. The research was co-authored by five individuals, two of whom are paid contractors from Columbia Business School and the Wharton School. The findings come as OpenAI’s enterprise usage plateaued from October to December 2025 before rebounding in early 2026.
Why it matters
Businesses need realistic expectations about AI’s financial impact, not just hype about adoption rates.
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