SoundCloud Updates Terms to Use Uploaded Audio for AI Training

SoundCloud has quietly revised its terms of use to allow the platform to utilize audio content uploaded by users for training artificial intelligence systems. This update, which took effect in February 2024, explicitly grants SoundCloud permission to use user content to inform, train, develop, or serve as input for AI or machine learning technologies.

The change was first highlighted by tech ethicist Ed Newton-Rex, who noted the lack of an opt-out mechanism in SoundCloud’s web settings. While the terms do exclude content covered under separate agreements with third-party rightsholders, such as major record labels like Universal Music and Warner Music Group, the broad permission raises significant questions about user consent and rights.

SoundCloud’s move aligns with a growing trend among digital platforms embracing AI technologies. Last year, the company partnered with multiple AI vendors to introduce tools for remixing, vocal generation, and custom sample creation. These partnerships included access to content ID solutions aimed at ensuring rights holders receive appropriate credit and compensation, alongside commitments to ethical AI practices.

This update is part of a broader industry pattern where platforms like X (formerly Twitter), LinkedIn, and YouTube have similarly revised their policies to allow AI training on user-generated content. These changes have sparked backlash from users demanding opt-in consent models, fair compensation, and recognition for their contributions to AI datasets.

Implications for Creators and the Industry

For creators on SoundCloud, this policy shift means their uploaded music could be used to train AI models without explicit individual consent or compensation unless covered by separate licensing agreements. This raises ethical and legal questions about intellectual property rights, transparency, and the future of content monetization in an AI-driven ecosystem.

For the broader tech and media industries, SoundCloud’s update exemplifies the accelerating integration of AI into creative workflows and content platforms. It highlights the urgent need for clear policies that balance innovation with creator rights, ethical AI development, and user trust.

Navigating AI Training Policies Responsibly

As AI continues to reshape content creation and distribution, platforms must prioritize transparency and user agency. Implementing opt-in mechanisms, providing clear communication about AI use, and ensuring fair compensation models are critical steps to maintain trust and foster sustainable innovation.

Creators and businesses should stay informed about evolving AI policies and consider how these changes impact intellectual property rights and monetization strategies. Engaging with platforms and advocating for ethical AI practices can help shape a fairer digital ecosystem.