Statistics from OpenAI analysis on the impact of AI in the workplace

AI For Business


2025-12-09T11:21:01.268Z

  • OpenAI reported that AI will improve workplace productivity and the quality of work across industries.
  • IT and marketing professionals saw the biggest benefits, including faster troubleshooting and execution.
  • Skepticism remains, with other studies questioning AI's measurable impact and warning of “work delays.”

OpenAI says it improves productivity.

On Monday, OpenAI released its first report on the state of enterprise AI, surveying 9,000 employees at 100 companies and finding that three-quarters say AI has improved the speed and quality of their work.

Here are the findings:

  • 87% of IT workers said they can resolve IT issues faster.
  • 85% of marketing and product professionals say they can now execute campaigns faster.
  • 75% of HR professionals say employee engagement has improved.
  • 73% of engineers report faster code delivery.
  • Coding-related messages increased by 36% for non-technical employees.
  • 75% of users report being able to complete new tasks that they weren't able to do before.

The report comes a week after Anthropic released its own research showing that its Claude assistant reduced task completion time by 80%, based on 100,000 user conversations.

Anthropic's findings don't appear to have been peer-reviewed, and neither does OpenAI's. OpenAI and Anthropic did not immediately respond to requests for comment on whether the report had been peer-reviewed.

Despite the reports, skepticism remains as to whether the technology actually makes workers more productive. An August study by MIT found that most companies fail to see tangible returns from their investments in generative AI.

A paper published in September by Stanford University and Harvard University said that many professionals are producing large amounts of “workslop” – AI-generated content that looks sophisticated but fails to move the task forward. Concerns that the billions of dollars that companies have poured into AI will not yield comparable returns has sparked investor concerns about an AI bubble.





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