Music app

Apple is using artificial intelligence and music to win the music app arms race

Acquisition by Apple of the London-based company AI Music recently made headlines in the business world, along with artificial intelligence (AI.) For years, the company has used artificial intelligence and music to develop next-level personalized playlists for listeners. The interface between music and artificial intelligence that AI Music has to offer can give a significant boost to Apple’s presence in the commercial music industry, and could even help it outshine competitors in the music app arms race.

Background: Artificial intelligence and music go back a long way

The relationship between music and artificial intelligence spans many decades, originating in 1960 when the Russian researcher R. Kh. Zaripov released the first algorithmic music composed on the “Ural-1” computer. Since then, advances in AI systems have allowed it to show real promise for music composition, such as in 1997 an AI program called Experiments in Music Intelligence (EMI) seemed to outperform a human composer when composing music. a piece imitating the style of Bach. It was only last year that an artificial intelligence program made it possible to complete Ludwig Beethoven’s film. last symphonyusing his other compositions as data to give the piece a similar sound to the rest of his works.

Currently, many universities are studying artificial intelligence and music, including Carnegie Mellon University, Princeton University, and Queen Mary University in London. All of these universities use different AI programs, but they all study the composition and real-time performance of music created by AI. Studying this process can provide insight into the science of music composition, as well as the psychological effects of music on our brains.

Analysis: Could AI create more auditor satisfaction?

Artificial intelligence not only creates awesome music, but can also help create fresh and engaging music playlists for listeners. Because the artificial intelligence works by using old sets of data to predict new results, it can track a user’s listening preferences and create a personalized playlist based on that data. This can encourage longer listener usage as well as better overall engagement, which could give the Apple Music app the success it seeks.

Apple was already considering bolstering its music platform when it acquired music streaming company Primephonic. Now, with AI Music, Apple may be working to use this new technology to improve its current audio products, including Apple Music, HomePool Mini, or even the Apple Fitness+ app.

Outlook: an arms race for music apps

Because Apple offers a music and podcasting platform, it competes directly with other companies offering similar products, such as Spotify or Pandora. Currently, Spotify has 365 million active monthly users, more than 50% of whom pay for Spotify Premium. In contrast, Apple has only 98 million subscribers in 2021. According to an expert, Apple Music seems to have more subscribers in the United States while Spotify has more listeners in Europe and South America. Since Apple has fewer listeners overall, it may be hoping to leverage this new acquisition and the power of artificial intelligence to win the music app arms race. It will be interesting to see how other companies react to Apple’s new acquisition, or if AI continues to become a bigger part of this industry.

Kenna Castleberry is a Debrief Writer and Science Communicator at JILA (a partnership between the University of Colorado at Boulder and NIST). It focuses on deep technology, metaverse and quantum technology. You can find more of his work on his website:

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