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AI Applied: Music

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond. By mid-2025, 25 AI-generated songs made it on the Billboard Top […]
AI Applied: Music
Published on:
February 10, 2023
The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond. By mid-2025, 25 AI-generated songs made it on the Billboard Top […]

The following is a future historian’s view of potential events that might occur today or in the near future. It is intended to give some insight into the potential uses, applications, and consequences of the use of AI in the marketing industry and beyond.


By mid-2025, 25 AI-generated songs made it on the Billboard Top 100 chart, surpassing The Beatles record by one song. In July of the same year, the majority of playlists generated by users on Soundcloud, Spotify, and iTunes included at least one AI-generated song.

In early 2026, AI-Rock launched in partnership with the top music platforms, consuming their music and user data (anonymously, of course) to drive the creation of the Adaptive Music Generation Engine (AMGE)*.

The AMGE utilized user data to create custom music for each user based on their personal listening habits, playlists, and the preferences of similar users in the central database.

In its first iteration, the program simply asked the user to specify their top 20 favorite songs in order to generate custom music in the genre, melody, harmony, rhythm, timbre, pitch, silence, and form that they would most prefer.

To further enhance user experience and music consumption, AI-Rock also accessed all public records of each user to assess their current life events, habits, and personal interests to create lyrics relevant to their current mood, socioeconomic status, religious beliefs, political beliefs, and other public-facing information.

Users could further enhance their results by completing a detailed personality assessment through the platform.

The final enhancement available involved opening all communication platforms and private data to the platform, allowing AI-Rock to assess personal relationships, each user’s current mood in real time, and both known and unknown shifts in a user’s personality as perceived by the application.

By 2027, a number of mental health organizations began using AI-Rock to treat anxiety, mood, and personality disordered. Their use of the application eventually led to the development of Therapeutic Musical Interventions for Depression and Stress (TMIDS), which was widely adopted as both a direct and preventive treatment for a number of mental disorders.