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ChatGPT at Work: 75% of Employees Say AI Saves Them Up to an Hour a Day

OpenAI Blog · Jul 11, 2026 · 2 min read · Read original article →

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OpenAI just dropped its first-ever ‘state of enterprise AI’ report, and the numbers put hard data behind what many have suspected: the corporate AI experiment is rapidly becoming a corporate fixture. Drawing from anonymized usage data and a survey of 9,000 workers across nearly 100 companies, the report paints a picture of a workforce that isn’t just dabbling with chatbots but integrating them into daily operations at a startling pace.

Weekly messages in ChatGPT Enterprise have exploded roughly 8× over the past year, and the average worker is now sending 30% more messages than before. A more telling shift lies in a 19× year-to-date spike in the use of structured workflows like Projects and Custom GPTs. This signals a clear move away from casual, one-off queries toward repeatable, integrated business processes. The consumption of reasoning tokens—a proxy for using more intelligent models for complex work—has skyrocketed by about 320× in 12 months.

Workers aren’t just getting faster; they’re expanding their capabilities. The survey found that 75% of users say AI helps them complete tasks they previously couldn’t perform at all. Coding-related messages from non-technical staff jumped 36%, suggesting that AI is effectively lowering the barrier to entry for technical work. The personal time savings are significant, with employees reporting they claw back 40 to 60 minutes per day, and heavy users claiming more than 10 hours back each week.

A new divide is also emerging. ‘Frontier’ workers at the 95th percentile send 6× more messages than the median employee, and frontier firms log twice the messages per seat. The primary bottleneck, OpenAI argues, is no longer model capability—it’s organizational readiness to absorb the technology that now ships a new feature every three days.

💡 Key Takeaways

  1. OpenAI's internal data shows a 320× surge in reasoning token consumption, proving enterprises are moving beyond simple prompting to complex, systematic integration of AI.
  2. A clear 'frontier gap' is forming where top-tier users and firms are pulling away from the median, sending 6× more messages and embedding AI much deeper into their workflows.
  3. The report explicitly frames the main barrier to AI adoption not as model performance, but as a company's internal ability to manage change and implement new tools effectively.
  4. Three-quarters of surveyed workers claim AI enables them to perform entirely new tasks, not just speed up old ones, with a notable 36% rise in coding by non-technical staff.

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