[Crypto World] Just saw some pretty interesting data—ChatGPT now has over 800 million weekly active users. Even more impressive is the intensity of usage on the enterprise side: over the past year, weekly message volume for the enterprise version has increased about 8x, and per capita message sending has risen by 30%.
Usage of structured workflows, like Projects and custom GPT features, has surged 19x in a year. At the organizational level, the consumption of inference tokens has skyrocketed by about 320x—this number basically shows that companies are not just experimenting with AI, but are truly integrating it deeply into their business processes.
What about the results? According to the survey, 75% of employees reported that AI has indeed made their work faster or of higher quality, saving on average 40 to 60 minutes per day. Heavy users save even more, gaining back over 10 hours per week. The fastest growth has been seen in the tech, healthcare, and manufacturing sectors; geographically, enterprise customers in Australia, Brazil, the Netherlands, and France have all increased by more than 140% year-on-year.
Now the bottleneck is no longer whether the technology works, but how to really implement it within organizations and get teams to use it.
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ChatGPT Enterprise usage intensity surges: weekly message volume increases eightfold, inference token consumption skyrockets by 320 times
[Crypto World] Just saw some pretty interesting data—ChatGPT now has over 800 million weekly active users. Even more impressive is the intensity of usage on the enterprise side: over the past year, weekly message volume for the enterprise version has increased about 8x, and per capita message sending has risen by 30%.
Usage of structured workflows, like Projects and custom GPT features, has surged 19x in a year. At the organizational level, the consumption of inference tokens has skyrocketed by about 320x—this number basically shows that companies are not just experimenting with AI, but are truly integrating it deeply into their business processes.
What about the results? According to the survey, 75% of employees reported that AI has indeed made their work faster or of higher quality, saving on average 40 to 60 minutes per day. Heavy users save even more, gaining back over 10 hours per week. The fastest growth has been seen in the tech, healthcare, and manufacturing sectors; geographically, enterprise customers in Australia, Brazil, the Netherlands, and France have all increased by more than 140% year-on-year.
Now the bottleneck is no longer whether the technology works, but how to really implement it within organizations and get teams to use it.