Chainsmokers-Backed AI Music Producer Joins Google to Revolutionize Song Creation

ProducerAI’s integration into Google’s Labs division marks the first time a third‑party AI music platform will be powered by Google’s upcoming Lyria 3 model, a generative system specifically tuned for multi‑instrumental composition. According to The Verge, the partnership will move ProducerAI from its proprietary engine—originally built on the Riffusion codebase launched in July 2025—to a “preview version” of Lyria 3, allowing users to generate melodies, drum patterns, and even entirely new virtual instruments from natural‑language prompts. The move also brings Google’s Gemini conversational model into the workflow, so creators can “talk to this producer like you would a Gemini model,” says ProducerAI co‑founder and CEO Seth Forsgren, enabling back‑and‑forth dialogue that mimics a human producer’s iterative process.

Google’s product lead, Elias Roman, emphasized that the platform’s novelty lies in its conversational agent rather than a single‑shot generation approach. “It’s not a tool that you put in your prompt, roll the slot machine, and something will come out,” Roman told The Verge. Instead, ProducerAI orchestrates a sequence of model calls—Lyria 3 for audio synthesis, Gemini for chat, Nano Banana for album‑art creation, and Veo for AI‑driven music videos—under a single “producer” interface that coordinates each step. The Verge notes that Google will embed its SynthID watermark into every audio output, a measure designed to flag AI‑generated content across text, image, video, and now audio streams.

The collaboration arrives as the music‑tech market grapples with both enthusiasm and pushback over AI‑generated works. While platforms such as ElevenLabs, Udio, and Suno have gained traction among independent creators, major distributors are tightening policies: Bandcamp has banned AI‑generated tracks outright, and Deezer has deployed detection tools to demote such content in its recommendation engine. ProducerAI’s high‑profile backing by the electronic duo The Chainsmokers—who, per a press release quoted by The Verge, are “so grateful” to see the tool evolve—positions it as a bridge between mainstream artists and the emerging AI workflow. The Verge reports that the platform has already collaborated with The Chainsmokers, Lecrae, and Anjulie to refine its feature set, suggesting a focus on professional‑grade output rather than the “novelty‑only” experiments that dominate many consumer‑focused AI music apps.

From a technical standpoint, Lyria 3 represents Google’s latest effort to unify multimodal generation under a single architecture. By leveraging the same transformer backbone that powers Gemini, Lyria 3 can ingest textual cues, musical notation, or even rough audio snippets and return high‑fidelity stems that retain stylistic coherence. The Verge indicates that Google recently rolled Lyria 3 into the Gemini app, where users could generate 30‑second tracks on‑the‑fly; the ProducerAI integration expands that capability into a full‑featured DAW‑like environment, complete with versioning, remixing, and lyric‑workshop tools. This deep integration could lower the barrier to entry for aspiring musicians while also giving established producers a rapid prototyping sandbox that scales with Google’s cloud infrastructure.

Industry analysts see the move as part of Google’s broader strategy to assemble a portfolio of domain‑specific AI tools that lock users into its cloud ecosystem. By folding ProducerAI into Labs, Google not only adds a music‑creation vertical to its suite of generative products but also gains a ready‑made user base that includes both hobbyists and label‑backed artists. The Verge’s coverage suggests that the partnership will keep ProducerAI as a standalone service, preserving its brand while benefitting from Google’s compute power and model updates. If the combined offering can deliver “real‑time” iteration without compromising audio quality—a claim underscored by Forsgren’s “you can start actually creating, and you can craft things with these instruments and make a song and iterate on it” remark—it could set a new benchmark for AI‑assisted music production and force competitors to rethink the role of conversational interfaces in creative pipelines.