- Microsoft analyzed how Copilot users interact with AI in 37.5 million conversations
- There are clear differences between work and personal interactions
- Here’s How App Developers Can Customize Their Chatbot’s UI
A new Microsoft report from December 2025 found key differences between Copilot users in terms of how and when people use AI, and it’s based on 37.5 million anonymized Copilot conversations, so there’s reason to believe the information should be pretty accurate.
By drawing a middle line, Microsoft identified that desktop AI usage was typically dominated by workers between 8 a.m. and 5 p.m., while mobile usage was heavily focused on personal topics and was used at all hours.
For personal users, health and fitness is a key topic, which Microsoft says proves that AI is increasingly being trusted for advice, not just information gathering.
Copilot gets its own Spotify Wrapped/Apple Music Replay with key new information revealed
The researchers pointed out that business and education data were excluded from the analyses, but that millions of personal account holders still use the service for personal and professional purposes. Microsoft found that programming peaked on weekdays, gaming increased on weekends, and philosophical questions increased late at night.
Redmond says mainstream adoption is also increasing, beyond early adoption among developers and some workers.
In early 2025, Copilot was widely used for technical and productivity workloads, but by September (the end of this particular study) it was answering more questions about society, culture, and history.
Copilot even sees seasonal trends around the social calendar. For example, relationships and personal development around Valentine’s Day and a dive into education-related topics over the summer.
With the new information, Microsoft has essentially told all AI chatbot developers how they can adapt their user interface to usage patterns. “A desktop agent must optimize information density and workflow execution, while a mobile agent may prioritize empathy, brevity, and personal guidance,” the researchers concluded.
“The data suggests that we’re not just using AI to get our jobs done faster; we’re using it to navigate the complexities of being human, one prompt at a time,” they added.
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