
What happened
OpenAI data shows the disparity between heavy and moderate AI users among its business customers has grown sharply. Firms in the top 10% of AI usage consumed 8.3 times as many output tokens per user compared with companies in the middle of the pack in June—up from a 2.6× gap in January.
Why it matters
The widening gap signals that enterprises making aggressive AI commitments are pulling ahead of slower adopters in their ability to automate and scale operations. This split is likely to deepen competitive advantages for early movers, while laggards risk falling further behind in operational efficiency.
What to watch
OpenAI's customers are shifting usage toward Codex, the company's agentic coding platform, rather than the traditional ChatGPT interface—a sign that businesses are moving from AI for answering questions to AI for autonomous task execution.
Summaries like this, in your inbox every morning.
The widening gap between enterprise AI adopters reflects a fundamental shift in how companies are deploying artificial intelligence. In January, the ratio between top-tier and median users was already 2.6×, indicating early stratification. By June, that gap had more than tripled to 8.3×, suggesting that businesses with aggressive AI strategies are not merely adopting the technology faster but accelerating their token consumption at an exponential rate compared to the rest of the market. This trend aligns with OpenAI chief economist Ronnie Chatterji's observation that companies are moving toward AI for "work that's more doing rather than asking"—a shift evidenced by increased usage of Codex, the company's agentic coding platform. Where ChatGPT represents conversational, question-and-answer interaction, Codex enables autonomous task execution, indicating that leading adopters are moving beyond exploratory AI use toward embedding AI directly into business workflows for continuous, independent operation.
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