Spotify’s “Wrapped” feature, a yearly highlight for millions since 2015, aggregates users’ listening habits, but some users are seeking more creative streaming insights through AI.
NPR has explored the “irresistible” nature of Wrapped, while Cosmopolitan has identified sharing Wrapped screenshots as a “status symbol.”
Frustrated by the perceived slow pace of innovation from Spotify, some users are taking matters into their own hands, eager to leverage AI for deeper analysis of their listening data.
These users envision AI quickly uncovering overlooked patterns in their listening habits, providing insights beyond just top songs and artists.
One potential application is a comprehensive music recap encompassing a user’s entire listening history, allowing tracking of emotional patterns and the relationship between music tastes and moods over time.
This could assist users in adjusting listening habits to better manage stress or navigate significant life events.
Users are also interested in using AI to cross-reference data from various platforms, gaining a more holistic understanding of how music choices influence their lives and preferences.
Beyond personal insights, there’s interest in building AI tools to compare listening habits with friends.
This could enable fun comparisons based on various data points, such as listening intensity or time spent on shared favorite artists.
Approximately 10,000 users are reported to have sold their data to build such AI tools.
