OpenAI Report Reveals No Clear Link Between AI Use and Employee Revenue

OpenAI research published on August 11 reveals no statistically significant correlation between how intensely employees use ChatGPT and the revenue generated per employee, according to a report on enterprise adoption by OpenAI and academic researchers.

The findings arrive as artificial intelligence companies push for massive market valuations, highlighted by Anthropic planning a $2 trillion initial public offering scheduled for October.

Despite corporate enthusiasm and surging capital inflows, the 69-page OpenAI report highlights a persistent enterprise uncertainty regarding return on investment. While the study emphasizes a frontier gap where organizations utilizing AI pull ahead of competitors, specific metrics within the paper complicate the narrative of immediate financial gains from software adoption.

Revenue per employee and usage data

According to a data table on page 35 of the OpenAI report, researchers found no meaningful association between output tokens or messages sent per employee and overall revenue generation once standard economic controls are included.

The study indicates that companies boasting higher revenue per employee tend to adopt ChatGPT earlier than others. Furthermore, organizations utilizing the technology more heavily generally exhibit higher per-employee revenue figures. However, the data does not definitively establish that increased software consumption directly causes higher financial returns for those businesses.

The report notes that two of its five authors are academic researchers—David Holtz of Columbia Business School and Prasanna Tambe of Wharton at the University of Pennsylvania—who contributed as paid contractors for OpenAI. The remaining three authors are OpenAI employees.

Executive adoption patterns and enterprise sales trends

Another detail buried in the research indicates that corporate executives use AI the least among all seniority levels. Data visualizations on page 29 show that senior employees log the fewest weekly messages per user, while early-career employees demonstrate the highest intensity of usage.

OpenAI Chief Financial Officer Sarah Friar addressed the disparity on LinkedIn, noting that competitive advantage stems from personnel closest to day-to-day tasks.

For leaders, that’s a reminder that competitive advantage comes from the people closest to the work. Listen to them, learn from them, and help the rest of the organization catch up.

The enterprise adoption data also reveals a distinct plateau in usage growth between October 2025 and December 2025. A token-growth graph on page 26 shows a flat trajectory during a period when competing tools, such as Anthropic’s Claude Code, captured significant corporate market share.

Usage metrics rebounded sharply in January 2026, driven by new client acquisitions and deeper integration among existing customers. To accelerate corporate adoption, OpenAI announced the appointment of a new Chief Revenue Officer, Dali Rajic, replacing Denise Dresser after a tenure of less than one year. Rajic will focus on driving customer adoption and assisting businesses in measuring financial impact as OpenAI prepares for its own public offering.