Music generator ProducerAI joins Google Labs
Wyclef Jean used Google's AI music tools on his new song "Back in Abu Dhabi."
ProducerAI, the generative music tool backed by The Chainsmokers, will join Google Labs, the company announced on Tuesday, February 24, 2026. The platform, which lets users write natural-language prompts such as “make a lofi beat” to generate music, runs on Google DeepMind’s Lyria 3 music‑generation model — a system that can turn text and image inputs into audio. Google also said three‑time Grammy winner Wyclef Jean used Lyria 3 and Google’s Music AI Sandbox on his recent song “Back From Abu Dhabi.”
“ProducerAI has allowed me to create in new ways,” Elias Roman, Senior Director of Product Management at Google Labs, 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.”
Details and context
- ProducerAI — which is positioned as a collaborative partner rather than a simple one‑button generator — will be integrated into Google Labs as part of a broader roll‑out of Lyria 3 capabilities. Google announced last week that Lyria 3 features would also be introduced into the flagship Gemini app.
- The Lyria 3 model accepts text and image prompts and is intended to allow creators to iterate with the model; Jeff Chang, Director of Product Management at Google DeepMind, described the workflow in a company video: “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.’”
- Wyclef Jean said he used the tools to explore specific sounds: he “recalls wanting to know what a flute would sound like in a track he already recorded, and being able to use Google’s tools to quickly add a flute sound to the mix.” Jean emphasized the role of human creativity alongside AI: “What I want everybody to understand […] is you’re in the era where the human has to be the most creative. 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.”
- The move comes amid ongoing industry friction over AI training data and copyright. Hundreds of musicians — including Billie Eilish, Katy Perry and Jon Bon Jovi — signed an open letter in 2024 urging tech companies not to undermine human creativity with AI music tools. Separately, music publishers have sued AI company Anthropic for $3 billion, alleging it illegally downloaded more than 20,000 copyrighted songs; a court has already ordered Anthropic to offer a $1.5 billion settlement to authors whose books were used to train models.
- At the same time, established artists and labels have embraced some AI audio tools: Paul McCartney used AI noise reduction to restore a John Lennon demo into the Beatles’ “Now and Then,” which won a Grammy in 2025. AI music generation has also enabled charting tracks and record deals — TechCrunch cited Suno and the example of Telisha Jones, who used Suno to create the viral R&B song “How Was I Supposed To Know” and signed with Hallwood Media in a deal reportedly worth $3 million.
- Legally, the landscape remains unsettled; one federal judge, William Alsup, ruled last year that training on copyrighted data can be legal, while pirating copyrighted material is not.
Outlook
Google’s integration of ProducerAI into Google Labs signals a continued push to put advanced music generation directly into creators’ hands while framing the tools as collaborative rather than replacement technologies. Yet the announcement underscores persistent tensions: artists and publishers continue to challenge how training data is gathered and monetized even as some musicians use AI to restore archives or experiment creatively. With Lyria 3 being added to Gemini and platforms like ProducerAI positioning for broader adoption, the coming months should clarify how major tech companies balance rapid feature rollouts with industry demands for clearer copyright and compensation rules.