A new workplace AI study shows how companies are using ChatGPT Enterprise and what workers are actually gaining from it. The latest report titled The State of Enterprise AI for 2025 draws on anonymized data from more than 1 million business users and a survey of 9000 employees across nearly 100 organizations. It highlights growing adoption of AI tools but also reveals that most workers are experiencing only modest productivity improvements.
The report notes that 75% of surveyed employees say AI improves the speed or quality of their work and another 75% say it enables them to complete tasks they previously could not do. Even with these positive signs, the average ChatGPT Enterprise user saves only about 40 to 60 minutes per active workday. This is helpful but not the major shift many expected, especially in workplaces filled with meetings, emails and multiple software tools. The study also mentions an ongoing legal dispute where a common noun has filed a lawsuit against OpenAI over alleged copyright issues.
The report outlines sharp growth in AI usage within companies. Weekly messages on ChatGPT Enterprise have increased almost 8 times in the past year and the use of structured workflows including custom GPTs is up 19 times. There has also been a major rise in reasoning token usage which is now more than 320 times higher. However, the outcomes do not rise at the same pace. Workers report faster completion of tasks like IT troubleshooting, campaign development and coding improvements yet overall gains still average around an hour each day.
A clear divide is forming between frontier users who fall in the top 5% of usage intensity and everyone else. These heavy users send around six times more messages and report more than 10 hours saved each week. They rely on AI to automate routine processes and build their workflows around it. OpenAI says the findings show the current state of Enterprise AI rather than a final judgment and suggests that future gains may depend on companies redesigning their processes. For now, AI acts more like a supportive assistant than a transformative force and the bigger question is whether productivity improvements will continue to rise or whether an hour a day is close to the limit.
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