- Microsoft analyzed how Copilot users interacted with AI in 37.5 million conversations.
- There are clear differences between work and personal interactions.
- Here's how app developers can tailor their chatbot's user interface
New December 2025 report from Microsoft found some 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 findings should be pretty accurate.
Drawing a line right down the middle, Microsoft determined that desktop AI is typically used by workers between 8 a.m. and 5 p.m., while mobile device usage skews heavily toward personal topics and is used at any time.
For personal users, health and fitness were key topics, which Microsoft said shows that AI is increasingly being trusted to provide advice rather than simply collect information.
Copilot Gets Its Own Spotify Wrapped/Apple Music Replay Revealing New Key Ideas
The researchers emphasized that enterprise and education data were excluded from the analytics, but millions of personal account holders still use the service for both personal and work purposes. Microsoft found that programming peaks on weekdays, gaming peaks on weekends, and philosophical questions arise late at night.
Redmond says mainstream adoption is also on the rise, in addition to early adoption among developers and some workers.
In early 2025, Copilot was widely used for technical and productivity tasks, but by September (the end of this study), it began answering more questions about society, culture, and history.
The co-pilot even sees seasonal trends in the social calendar. For example, relationships and personal growth in the lead-up to Valentine's Day, and a decline in education-related topics during the summer.
Thanks to the new information, Microsoft has essentially told the entire AI chatbot developers, how they can adapt their user interface to usage patterns. “A desktop agent should optimize information density and workflow execution, while a mobile agent may prioritize empathy, brevity, and personal guidance,” the researchers concluded.
“The data shows that we're not just using AI to get our jobs done faster; we use it to navigate the complexities of human life, one clue at a time,” they added.
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