- Microsoft has analyzed how Copilot users interact with AI in 37.5 million conversations
- There are clear differences between work and personal interactions.
- This is how app developers can customize their chatbot’s UI
A new Microsoft report from December 2025 has uncovered some key differences between Copilot users in terms of how and when people use AI, and it’s based on 37.5 million unidentified Copilot conversations, so there’s reason to believe the insights should be pretty accurate.
Drawing a line right down the middle, Microsoft identified that desktop AI usage was generally dominated by workers between 8 a.m. and 5 p.m., while mobile usage leaned heavily toward personal topics and was used at all hours.
For personal users, health and fitness prevailed as a key topic, which Microsoft says shows that AI is increasingly relied on to give advice, not just gather information.
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The researchers emphasized that business and educational data were excluded from the analysis; However, millions of personal account holders still use the service for both personal and work purposes. Microsoft found that programming peaks on weekdays, gaming increases on weekends, and philosophical questions increase late at night.
Redmond says widespread adoption is also increasing, beyond early adoption among developers and some workers.
At the beginning of 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 in the social calendar. For example, relationships and personal growth 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 should optimize information density and workflow execution, while a mobile agent might prioritize empathy, brevity, and personal guidance,” the researchers concluded.
“The data suggests that we are not just using AI to do our jobs faster; we are using it to navigate the complexities of being human, one message at a time,” they added.
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