Jakarta, INTI - The generative AI music platform ProducerAI is set to join Google Labs, the company announced on Tuesday.
Supported by The Chainsmokers, ProducerAI enables users to submit natural language prompts, such as “make a lofi beat,” to generate music. The platform is powered by Google DeepMind’s Lyria 3 music-generation model, which can transform text and even image inputs into audio outputs.
Google recently revealed that Lyria 3 would also be integrated into its flagship Gemini app. However, according to Elias Roman, Senior Director of Product Management at Google Labs, ProducerAI allows users to interact with the AI more like a “collaboration partner.”
“ProducerAI has allowed me to create in new ways,” Roman wrote in a blog post. “I’ve experimented with new genre blends, expressed how I feel with personalized birthday songs for my loved ones, and made custom workout soundtracks for myself and friends.”
Google further highlighted that three-time Grammy-winning rapper Wyclef Jean used the Lyria 3 model and Google’s Music AI Sandbox in producing his recent track “Back From Abu Dhabi.”
“This is not just a machine where you’re clicking a button a hundred times, and then you’re done. It’s a careful kind of curation where you’re going through and saying, ‘Oh, I think that’s something we can use,’” said Jeff Chang, Director of Product Management at Google DeepMind, in a company-released video.
Jean shared that he once wondered how a flute would sound in a track he had already recorded, and was able to quickly incorporate a flute element into the mix using Google’s AI-powered tools.
“What I want everybody to understand… is you’re in the era where the human has to be the most creative,” Jean said in the video. “There’s one thing that you have over the AI: a soul. And there’s one thing that AI has over you: the infinite information.”
AI in the Music Industry
The use of AI tools in music production has sparked strong opposition from some artists, largely due to concerns that generative AI systems are trained on copyrighted works without permission. In 2024, hundreds of musicians, including major stars such as Billie Eilish, Katy Perry, and Jon Bon Jovi, signed an open letter urging technology companies not to erode human creativity through AI-powered music generation tools.
A group of music publishers has also filed a $3 billion lawsuit against AI firm Anthropic, alleging that it unlawfully downloaded more than 20,000 copyrighted songs, including sheet music, lyrics, and compositions. The company had previously been ordered by a court to propose a $1.5 billion settlement to authors whose books were allegedly pirated for AI training purposes.
On the other hand, some musicians view AI as a tool for technical enhancement rather than creative replacement. Paul McCartney, for instance, used AI-based noise reduction technology, similar to systems that filter background noise on Zoom or FaceTime calls, to restore an old, low-quality demo recorded by John Lennon. The remastered track, “Now and Then,” went on to win a Grammy Award in 2025.
At the same time, AI music-generation platforms such as Suno have produced synthetic songs realistic enough to rank on Spotify and Billboard charts. Telisha Jones, a 31-year-old from Mississippi, used Suno to transform her poetry into the viral R&B track “How Was I Supposed to Know,” later securing a record deal with Hallwood Media reportedly valued at $3 million.
Legal clarity around the use of copyrighted material for AI training remains unsettled. However, Federal Judge William Alsup ruled last year that while training AI on copyrighted data may be lawful, obtaining such material through piracy is not.
Conclusion
The debate over AI in the music industry highlights a growing divide between concerns over copyright and creative ownership, and the potential of AI as a tool for innovation and technical enhancement. As legal clarity continues to evolve, the future of AI-generated music will likely depend on balancing artistic rights with technological progress.
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