TIDAL uses machine learning algorithms to generate personalized playlists — called 'My Mix' and 'Daily Discovery' — for all subscribers, updated regularly based on each listener's streaming activity.

TIDAL's open-source GitHub repository confirms that the platform uses machine learning models alongside business rules to produce algorithmic mixes, including personalized playlists like My Mix, My Daily Discovery, and non-personalized ones like Track Radio and Artist Radio. The My Mix feature takes user listening history, favorited tracks, and collection data as input and produces up to six genre-segmented 50-track playlists that refresh as often as daily. Daily Discovery refreshes every day with 10 new tracks drawn from a listener's behavioral data. TIDAL has described the system as combining AI technology with human-curated playlist inputs.