- Microsoft has analyzed how Copilot users interact with artificial intelligence across 37.5 million conversations
- There are clear differences between work and personal interactions
- How app developers can customize their chatbot user interface
A new December 2025 report from Microsoft has revealed some key differences among Copilot users in how and when people use AI, and it’s based on 37.5 million de-identified Copilot conversations, so there’s reason to believe the insights should be pretty accurate.
By drawing a line right down the middle, Microsoft identified that desktop AI use was generally dominated by workers between 8am and 5pm, while mobile usage was heavily skewed towards personal topics and was used at all times.
For personal users, health and fitness dominated as a key topic, which Microsoft says proves that AI is increasingly being trusted for advice, not just information gathering.
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The researchers emphasized that business and educational data were excluded from the analyses, but millions of personal account holders still use the service for both personal and work purposes. Microsoft found that programming peaks on weekdays, gaming spikes on weekends, and philosophical questions spike late at night.
Redmond claims that mainstream adoption is also increasing, in addition to 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 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 to tailor their user interface to usage patterns. “A desktop agent should optimize for information density and workflow execution, while a mobile agent might prioritize empathy, brevity and personalized guidance,” the researchers concluded.
“The data suggests that we’re not just using AI to make our work faster; we’re using it to navigate the complexities of being human, one prompt at a time,” they added.
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