After text, images, and video, music is becoming the next frontier for generative AI. According to The Information, OpenAI is secretly developing a new generative music tool that can automatically generate original soundtracks that match emotions and rhythms based on text descriptions or audio clips. Whether it's instantly adding atmospheric background music for short videos or intelligently generating guitar accompaniments for vocal performances, this technology has the potential to completely transform content creators' audio workflows.
To enhance the model's professionalism and musical expression, OpenAI has partnered with the world's top music conservatory, the Juilliard School. By inviting music students to meticulously annotate a large number of musical scores, the team is building a high-quality training dataset, enabling the AI not only to "compose" but also to understand harmonic structures, musical forms, and emotional expressions. This deep integration of professional music knowledge marks OpenAI's shift from early experimental music models (such as projects predating ChatGPT) to more practical and artistically refined generation systems.

The release format of the tool is still under confidentiality. It may be launched as an independent product, or deeply integrated into ChatGPT or the video generation model Sora, achieving an end-to-end creative experience of "text generating video + AI auto-composing." Although the exact launch time is not yet determined, its technical direction clearly points toward a closed loop in multimodal content production.
OpenAI is not alone in this effort. Companies like Google and Suno are also accelerating their layout in AI music generation, and competition is becoming increasingly intense. However, with its advantages in large model architecture, multimodal alignment, and ecosystem integration, OpenAI is expected to find a key balance point between professionalism and ease of use. For video bloggers, independent musicians, and film production teams, an AI assistant that can understand "a sad rainy night" or "an exciting chase scene" and create music accordingly may truly break down the technical and threshold barriers in music creation.
When AI no longer just imitates melodies but begins to "understand" the emotional language of music, a new era for creators may be quietly beginning.




