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Functional music to help us sleep, concentrate, meditate and otherwise calm our minds will be further personalized with AI and used instead of medication.Īnd I cannot emphasize enough the potential for AI to help solve problems surrounding music rights metadata, matching sound recordings to publishing, and getting money to flow to the rightful owners.
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The royalty-free, background, nondescript music market is ripe for AI, and won’t be encumbered by fragmented rights across labels, publishers and PROs, so it will be easy, claim free and royalty free.
Or artists such as Grimes who simply want to explore the boundaries of what AI could produce as their collaborator?Ĭan AI help to efficiently create new versions of existing songs or compositions, or remixes and derivative works without going into a studio? The answer is yes, but this also begs the question of who owns or gets to participate in these versions? Where does the composition live? Can artists allow legal, licensable training of AI based on their unique sounds and styles? Think of older, established artists facing vocal challenges who could benefit from an AI-trained voice companion.
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Could the industry find a new model to license all of its music collectively to AI companies for training purposes? This could be a new license structure for labels and publishers, and also enable legal, approved uses and output. It gets really interesting in the Yellow Zone, filled with potential uses where AI could enable new revenue, new opportunities as well as problem solving. There is also pressure to limit or separate purely-AI sound recordings from human-created sound recordings, albeit a likely blurry line once we consider the development of a vibrant AI creator tools marketplace and undetectable differences. Visual image litigation around AI is also being watched for applicable rulings that will apply to other creative mediums. Legal minds are currently studying copyright laws around the world to determine rules, boundaries, and frameworks to guide a razor-thin line separating innovation and protection. Text-to-print output of cheap soundalikes is being monitored by every sync department. We are already seeing early battle lines being drawn: applications of AI that veer into artist impersonation and deep artist fakes are getting shut down, and unsanctioned training of AI based on commercial recordings is on thin ice.
The music sector wouldn’t have its charm without IP-protection conflicts. AI is enabling a wide cross section of fully-sanctioned tools that will serve as an extension to individual creators and could help to further accentuate and accelerate human creativity. Games and casual creators will have a great time using AI-created, low-risk music for fun and creative expression. Remember the drum machine? Many feared it would be the end of drummers, but clearly it wasn’t. Artists have a history of accepting new technology and creator tools, while many in the middle or the sidelines decry the horror. In the Green Zone, AI is a legal, technical, creative tool sector embraced by artists. These AI production and creator tools will further democratize music creation. Audio production will grow in efficiency with AI based plug-ins to DAWS, copyright-clear sounds and loops libraries, and tools that can be trained on an artist style.
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Songwriters can enable and train AI in their own style, and extend more traditional, long-utilized manual tools.
Songwriting, rhyming, melody, and lyrics AI tools will all help composers break writer’s block, systematize collaboration/co-creation, and improve efficiency. The first two are relatively clear, while the last will evolve as AI companies and industry stakeholders conversations and product offerings advance.ĪI is enabling a new suite of creator tools that will serve as extensions of the human creative process. I’ve divided AI for Music into three segments – the Green Zone, defined as tools and uses of AI that are likely to be enabling the Red Zone, areas likely to be litigated or at least controversial and the Yellow Zone, cautiously filled with potential. But like most complex topics, if we break things down a bit they become easier to understand. This complex web of an industry of artists, labels, and publishers is messy, sometimes contradictory and its response to AI is going to be equal parts exciting and confusing. The mix of independent artists from hobbyist to superstar are growing fast on their own creative terms, and likely have different points of view and stakes related to the emergence of AI. The commercial music sector revolves around monetizing and protecting intellectual property and so it is no surprise whatsoever that major labels, publishers and industry trade bodies are taking strong, early positions that human artistry has value. Each time technology crashes into the music business, we all must evaluate and classify what does and doesn’t (or at least not quite yet) work for our industry.
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