
A recent, highly touted report from Microsoft on Copilot usage patterns by topic, intent, and time (of day and week) delivered compelling findings on top priorities that users have when engaging with chatbots.
Those findings are insightful, but even more interesting in this view is a Microsoft statement that may suggest the company will develop distinct consumer and business Copilot interfaces that are context aware and optimized for specific platforms, with unique “personalities” for the use cases and patterns they support.
Copilot Usage in Practice
Microsoft’s data is based on Copilot conversations sampled at a rate of 144,000 per day for approximately nine months ending in late September. That’s more than 37 million conversations in total. Data was gathered by running “machine-based classifiers” over de-identified conversation logs — all personally identifiable information (PII) information was removed for privacy considerations.
Perhaps the biggest finding that Microsoft emphasizes throughout the report is that the most common “topic-intent pair” on mobile devices – which remained stable throughout the measurement period — was Health and Fitness/Searching (see Top 5 list of topics and Intents in the chart below).
“We think that dominance of ‘Health and Fitness’ on mobile, regardless of time of day or date suggests that users engage with Copilot as a confidant for personal topics and as a companion for personal improvement,” Microsoft AI researchers wrote in analyzing the findings.

Because Health and Fitness remains the most frequent topic on mobile across every hour of the day, this suggests the phone serves as a trusted resource for physical well-being, regardless of the user’s schedule, Microsoft researchers said.
On desktop computers, by contrast, the company has found that several “intents” are paired with the “work and career” topic, which is not as highly featured on mobile. Perhaps even more interesting, 20 distinct topic-intent pairs were in the Top 10 rank for desktop over the course of the year, vs. only 11 pairs on mobile.
Here’s another major difference that applies to desktops: “Programming” as a topic was much more common in January than in September, with the largest variance moving toward “Society, Culture, and History.” That is, the focus shifted from productivity-focused conversations towards more social topics as the year unfolded. This includes, for example, conversations that range from understanding pop culture to historical events to international politics.
This could be explained by a broadening of habits among existing users or the democratization of the user base as mainstream adopters—who may have less technical priorities than the developer-heavy users of early January—began using Copilots, or using them more extensively.
Microsoft noted its findings as detailed above suggest users are engaging with Copilots in two major ways: as a colleague at their desk and a reliable confidant on their mobile device.
Here’s how Microsoft says these findings could impact future design and the evolution of Copilots: “This bifurcation has significant implications for the design of Generative AI. The industry has largely treated the “chatbot” as a uniform experience across endpoints. However, our finding that mobile users prioritize health and fitness—regardless of the hour—indicates that the mobile form factor signals a shift toward personal conversations and self-improvement.”
These distinctions suggest a need for interfaces that are context-aware, differentiating in UI as well as in personality and capability. For example, a desktop agent should be optimized for information density and workflow execution, while a mobile agent should prioritize factors including empathy, brevity, and personal guidance, the report says.
Indeed, Mustafa Suleyman, CEO, Microsoft AI, said in a LinkedIn post: “Studying these patterns is about understanding what matters most to our users – and where we can help. What’s important when using desktop vs. mobile? How should Copilot adapt to you throughout the week? What features would help support people in these day-to-day rhythms, what topics should be our biggest priorities…this is how we make AI more useful, for more people, more often.”
In 2026 and beyond, it will be fascinating to observe how Microsoft — and other major AI software developers — evolve the AI user experience and user interface, and whether there are unique UI/UX traits in the year to come that address the distinct ways that different types of users engage with these tools. It’s a compelling look ahead into usability direction and how users will engage with AI.

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