AI Music Creation Is Leaving the Studio and Entering the Feed
AI music creation is the use of artificial intelligence models to compose, arrange, or transform songs in response to text prompts or simple controls, moving music-making from specialized studio tools into accessible digital experiences that everyday listeners can use in apps or on the web without traditional production skills. This week’s launches from ElevenLabs and Deezer are a clear sign that AI music generation and music remixing tools are no longer niche experiments—they are becoming consumer products. On June 22, ElevenLabs released Music v2, its next-generation AI music generation model that composes full tracks with vocals across genres and languages. Two days later, Deezer announced Remix Lab, a feature inside its app that lets fans remix tracks from major artists with full rights compliance and explicit artist agreements. Together, they show the future of music creation looks less like a studio and more like a social feed.
ElevenLabs Music v2: From Text-to-Speech to Full AI Compositions
ElevenLabs has stepped decisively beyond voice cloning and text-to-speech with Music v2, turning its audio research into a full AI music generation engine that can create entire songs from scratch. The model doesn’t just spit out generic backing tracks; it offers advanced editing and control and claims “industry-leading quality across genres, languages and vocal styles,” with the ability to perform complex genre transitions—such as moving from opera to heavy metal and back within a single track while keeping the music coherent. It can generate fast-paced rap vocals and dense lyrics, traditionally tough areas for AI systems. Crucially, ElevenLabs says Music v2 is built exclusively on fully licensed data and designed with copyright in mind, positioning it as a commercial AI music generation solution that can be “used safely in global markets” while expanding creative options for non-professionals.
The company is also trying to make experimentation cheaper. Fees for its developer-focused Eleven API are being cut by up to 50%, and subscriptions for ElevenCreative, aimed at marketers and video creators, are dropping by up to 40%. Lower prices turn Music v2 from a specialist tool into something more accessible for independent creators, small brands, and hobbyists who want AI music creation without enterprise budgets. ElevenLabs is still refining the product—improving language consistency for global creators and planning structured listening-panel assessments across supported languages—but the direction is clear: professional-grade AI composition is being packaged for casual use. If past music revolutions were driven by cheaper instruments and home studios, this one is driven by APIs and browser interfaces.
Deezer Remix Lab: Fans as Co-Creators, Not Just Listeners
While ElevenLabs focuses on generating new music, Deezer is betting on transformation. Remix Lab, launched through its in-app Deezer Club on June 24, is pitched as the first remix feature inside a mainstream streaming platform, giving fans a structured way to creatively remix songs they already love. This is a direct response to how younger listeners behave: Gen Z is already modifying tracks for social platforms, with around 30% of tracks shared on TikTok altered by users, often without revenue flowing back to artists or rightsholders. Remix Lab replaces that grey area with an experience that is “simple and accessible,” where in a few clicks, users can speed up a track, add reverb, or apply deeper genre and style changes. By building contests around songs from major artists like Céline Dion and others, Deezer is treating fans as collaborators, not pirates, and turning music remixing tools into a sanctioned part of the listening journey.
The feature is tightly tied to rights and rewards. Every remix is created with prior agreement from the artist, streams of remixed versions are fully attributed to the original work, and artists are compensated “for every stream, in line with the rights owed to them”. Fans access contests in Deezer Club or on artist pages, add their creative touches, then immediately stream, playlist, and share their remixes like any other track, exclusively on the platform. Winners get their versions highlighted in a dedicated playlist plus tickets to a Purple Door event and artist merchandise. Launching first in France, Remix Lab is expected to expand to other markets in the coming months. It’s less about turning everyone into a producer and more about weaving co-creation—and AI-assisted music remixing—directly into everyday streaming habits.
Democratization Depends on Rights, Not Just Algorithms
The most important thing ElevenLabs Music v2 and Deezer Remix Lab have in common is not technical brilliance but legal realism. ElevenLabs is explicit that Music v2 is trained exclusively on fully licensed data and “designed with copyright considerations in mind,” framing it as a commercial AI music generation solution safe for global use. Deezer stresses that Remix Lab exists “with the prior agreement of the artists, and fully respecting rightsholder agreements,” with streams from remixed tracks attributed to the original work and earnings maximized for each track. These details matter. Without licensing and transparent compensation, AI music tools invite backlash and legal risk. With them, they can become mainstream creative utilities. Democratizing music production is not only about letting anyone tap a button to make or remix a song; it is about ensuring artists’ work and rights remain at the center so that fans can participate without undermining the ecosystem they love.
From Gatekeepers to Guides: What This Shift Means for Music
Taken together, Music v2 and Remix Lab mark a turning point: the gap between professional creator and casual fan is shrinking. ElevenLabs is putting genre-spanning, vocal-heavy AI composition into the hands of anyone who can describe the track they want, backed by price cuts that invite experimentation. Deezer is embedding music remixing tools into the listening experience, encouraging fans to reshape songs with artist consent and fair payment. The old model treated studios, labels, and streaming platforms as gatekeepers; the new model treats them as guides, building ethical frameworks around AI music creation so participation scales without chaos. That shift will not replace artists—it will pressure them, and the industry, to think of music as a dialogue rather than a one-way broadcast. If these launches succeed, the next big trend may not be a single hit song, but a swarm of fan-made variations and AI-generated interpretations orbiting around it.
