According to @DeepLearningAI, Microsoft researchers analyzed more than 37.5 million Copilot conversations and found that AI usage is highly context dependent, source: @DeepLearningAI. Desktop queries during work hours skewed toward productivity and career tasks, source: @DeepLearningAI. Mobile and late-night queries leaned toward health, gaming, philosophy, and personal advice, source: @DeepLearningAI. Over time, Copilot use shifted away from purely work-focused queries toward everyday life tasks, signaling broader consumer integration, source: @DeepLearningAI. For trading relevance, these time-of-day and device patterns delineate peak consumer demand windows for AI assistants and can inform monitoring of user engagement linked to MSFT’s Copilot ecosystem and AI-related crypto narratives, source: @DeepLearningAI.