OpenAI Study Finds No Link Between AI Use and Revenue Growth

OpenAI published a 69-page research report this week examining enterprise adoption of ChatGPT, and buried within the data is a finding that challenges the AI industry's growth narrative: companies that use AI more intensively don't necessarily make more money.

The study, released August 11, shows no statistically significant correlation between revenue per employee and AI usage metrics like messages sent or tokens consumed. According to the report, "Revenue per employee is not meaningfully associated with output tokens per employee or messages per active user once other controls are included."

While the headline findings emphasize exponential usage growth and warn of a "frontier gap" between AI adopters and laggards, the fine print tells a more nuanced story. Companies with higher revenue per employee were more likely to adopt ChatGPT early, and heavy AI users tend to have higher baseline revenue. But the research doesn't establish that increased AI usage drives revenue growth.

Why it matters

As billions flow into AI investments—OpenAI employees recently sold $7 billion in shares, while competitors like Lovable reach $13.3 billion valuations—the lack of clear return on investment creates a fundamental tension. Anthropic is reportedly planning a $2 trillion IPO, yet the business case for AI adoption remains statistically murky. For enterprise leaders evaluating AI budgets, this suggests the technology's value may be more about competitive positioning than immediate financial returns.

Executives lag in adoption

The report reveals that senior executives use ChatGPT less intensely than any other employee tier, measured by weekly messages per user. Early-career employees show the highest usage rates by far. OpenAI CFO Sarah Friar acknowledged this pattern on LinkedIn, noting that "competitive advantage comes from the people closest to the work."

This usage gap raises questions about whether executives can accurately assess AI's return on investment when they have the least direct experience with the tools.

Enterprise sales stalled in late 2025

Usage data shows OpenAI's enterprise growth flatlined between October and December 2025, coinciding with Anthropic's Claude Code gaining corporate market share. The company rebounded in January 2026 with renewed growth, which OpenAI attributes to both new clients and deeper adoption among existing customers.

The timing aligns with CEO Sam Altman's reorganization around enterprise sales and the elimination of "side quests" like the Sora video app. Today, OpenAI announced Dali Rajic as its new Chief Revenue Officer, replacing Denise Dresser after less than a year in the role. Rajic will focus on accelerating customer adoption and helping businesses measure impact as the company prepares for its IPO.

Academic contributors were paid contractors

Two of the report's five authors are academics from Columbia Business School and Wharton, which typically signals independent validation. However, a footnote discloses that both David Holtz and Prasanna Tambe "contributed to this work in their capacity as paid contractors for OpenAI." The other three authors are OpenAI employees.

This arrangement muddies the waters around academic impartiality and raises questions about whether additional findings went unpublished.

These details were first reported by Fortune's AI Watch newsletter.