Microsoft Copilot is now a workday assistant and nighttime confidant, report finds

While the report found that across all devices, technology and work-related topics dominated when ranked as top topics people were asking Copilot about, for mobile users, health was topmost irrespective of the day, month, or time. “This is a huge responsibility for us, and one we’re super focused on,” Suleyman wrote. According to the report, users are not only checking symptoms, they are also seeking advice.
The report also found some big differences between weekday and weekend trending topics. It stated that gaming saw a two-day spike on Saturdays and Sundays, while most coding-related conversations took place between Mondays and Fridays.
Meanwhile, on the desktop, people use Copilot as a professional tool. Between 8 am and 5 pm, work and technology dominate conversations. Even though enterprise (office) accounts were excluded from this dataset, personal devices still show strong work usage. This indicates how the lines between personal and work tech have blurred over time.
When it comes to time of day, data showed that philosophical conversations spiked in the early hours of the morning. Late at night, topics like religion, spirituality, personal wellness, and big life questions rise across both devices. It seems Copilot doubles as a midnight therapist for everything from existential dread to long-term goals. Similarly, there was an uptick in travel-focused conversations happening mostly during commute hours.
On the other hand, when it came to time of the year, the report highlighted how seasonal differences impacted trending topics. It showed that in February, Valentine’s Day saw a hike in relationship-related conversations. Suleyman shared that 2-3 days before it, conversations on personal growth and wellness surged too. Similarly, early in the year, programming-heavy conversations were more common. By September, social and cultural topics became more prominent. This suggests that as AI became more mainstream, the user base expanded beyond early technical adopters.
The report shows that AI is not uniform and changes depending on the device, time of day, and even time of year.