SoundCloud Revises AI Terms to Protect User Content from Model Training

In early 2025, SoundCloud quietly updated its terms of use with new language that many users interpreted as granting the company permission to use uploaded audio content for training artificial intelligence models. This move sparked widespread concern among creators and users who feared their original works could be exploited without explicit consent.

SoundCloud quickly responded by clarifying that it was not currently developing AI models using user content, but the initial statement failed to fully alleviate fears about potential future use. The ambiguity of the terms led to significant backlash from the community, emphasizing the importance of transparent communication regarding AI and user data.

In an open letter, SoundCloud CEO Eliah Seton admitted that the wording of the updated terms was too broad and unclear. The intended focus was on internal AI applications such as improving recommendation algorithms and fraud detection tools, not on training generative AI models that replicate user voices or music.

To address these concerns, SoundCloud revised its terms to explicitly state that user content will not be used to train generative AI models aimed at replicating or synthesizing voices, music, or likenesses. This update aims to restore trust and reassure creators that their intellectual property remains protected.

Broader Implications for AI and Content Platforms

SoundCloud’s experience highlights a critical challenge for platforms integrating AI technologies: balancing innovation with user rights and transparency. As AI capabilities expand, clear policies are essential to maintain user trust and comply with evolving ethical standards.

This case serves as a valuable example for other media and entertainment platforms navigating AI adoption. Transparent communication about how user data is used for AI, explicit consent mechanisms, and clear limitations on generative AI training can prevent backlash and foster a collaborative environment between creators and technology providers.

For developers and business leaders, this underscores the importance of crafting AI policies that are both legally sound and user-friendly. Proactive engagement with user communities and transparent AI governance can be a competitive advantage in the evolving digital landscape.