AI in the music industry

Will AI Affect the Music Industry? (Explained)

AI is already capable of making its own music, but how will AI affect the music industry?

OpenAI, such as Musenet and Jukebox, can produce automatic music soundtrack tools that companies can use to avoid the headache of licensing music.

In addition to the integration of AI into the music-making process, artificial intelligence is also making soundwaves in the following areas:

  • Aiding music producers in generating chords and making beats
  • Automating mixing and mastering during production
  • Providing metadata through algorithms to influence listener habits

AI’s increasing speed and sophistication will undeniably transform the music industry as we know it.

This guide examines AI’s potential to revolutionize the music world.

Let’s get started!

How Will AI Affect the Music Industry?

It shouldn’t come as a surprise that AI influences music in the same way as it influences other creative fields, although the outcome of artificial intelligence becoming the norm in music production might not be as destructive as you might suppose.

Will AI Affect the Music Industry

AI can and will affect the music industry in two noticeable ways:

  1. Music production
  2. Music streaming

Music Production

Artificial intelligence (AI) has the potential to revolutionize the music production and distribution processes.

By leveraging AI technology, musicians can access a range of advanced capabilities with greater ease and affordability.

Machine learning algorithms can synthesize unique musical compositions that align with an artist’s creative vision, as demonstrated by the work of AIVA with their song “On the Edge.”

Additionally, AI can generate music with specified stylistic, tonal, and emotional attributes, further expanding its utility in the music production sphere.

It’s impressive, but modern AI algorithms still lack finesse, at least when compared with their human counterparts.

The more relevant impact we can expect from AI on music production is enhancing the creativity of human artists.

Since the ’90s, musicians have been using AI to fuel their creative fires, so to speak, allowing them to develop ideas, sample tracks, and experiment with different sounds.

AI can bend every facet of a song’s design—tempo, key, mixing, complementary chords, or instruments—giving artists more freedom now than ever when visualizing their creative work in different settings.

Producers, with the press of a button, can generate chord patterns and melodies via automated tools, helping them narrow their field of focus during the creative process.

It’s the equivalent of painting a landscape of a snowy mountaintop and being able to envision it as a lush green hillside or desert dunes; doing so is an incredible visionary springboard for artists and allows them to elevate their music.

As such, the technology that drives AI is extremely useful, but primarily to enhance the compelling human storytelling aspect that makes music such an appealing creative endeavor.

Music Streaming

Another notable field in which AI will continue to impact the music industry is streaming.

The last decade has seen an abrupt paradigm shift from physical media to digital streaming.

Because much of their revenue comes from subscribers paying for the privilege of listening to music, streaming companies always aim to streamline and perfect the user experience.

Companies rely on AI technology to evaluate listening patterns and streaming experiences.

Many major companies in the industry, like Spotify, rely on AI technology to evaluate listening patterns and personalize the streaming experience.

The most practical use of this technology is for the purpose of categorization.

Streaming platform AI algorithms can deduce the key and tempo of a song, whether it’s performed live, whether it has vocals, and what genre the music is, among other things.

As the song is being played, streaming platforms will track user retention, replay time, and whether the track is added to a playlist.

This data helps streaming platforms present relevant music to tailor playlists for listeners.

Just as business owners must adapt their websites to impress the AI-driven Google algorithm, so, too, must record labels synthesize, and analyze consumer trends to evaluate their target audience and produce music accordingly.

And what better resource to synthesize consumer data than AI?

Data provided through streaming services can help artists, whether established or brand new, see the ebbs and flows of listener interest and adjust their style, musical focus, and song design to match.

In the future, record labels and streaming companies will inevitably emphasize the role of AI-gathered data in music production and streaming.

Final Thoughts

AI has been around for a long time.

Still, it’s only recently that artificial intelligence has begun impacting the music industry to a larger degree—and not negatively, as many feared.

AI has enabled budding artists to develop their sound and brought listeners closer than ever to the music they love.

From both a compositional and an industrial standpoint, AI has and will continue to develop how industry professionals and listeners interact with music.

Whether it’s a startup artist using AI-generated music as a way of dipping their toes in the proverbial ocean of music production or a streaming platform gathering and synthesizing data to analyze new trends, there’s no doubt that AI has affected and will continue to affect the music industry.

Have Questions? We Have Answers.

The future of AI and music will see increased integration, leading to improved efficiency and new creative opportunities while considering ethical implications.

AI helps music by automating tasks such as composition, arrangement, and recommendation, freeing up time for creative pursuits and providing more personalized experiences for listeners.

References

musicianwave.com/ai-music/

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