Instagram is testing a new feature that could reshape how users perceive content on the platform, an “AI Creator” label designed to identify accounts that regularly use artificial intelligence to create posts.
The feature, currently being rolled out on a test basis, allows creators to self-identify as AI-driven accounts, with the label appearing both on their profile and alongside their content across Feed, Reels, and Explore.
The “AI Creator” tag is an account-level disclosure, indicating that a creator frequently uses AI tools to generate or modify content. Once enabled, the label appears in the bio and is visible across all content surfaces, making it easier for users to understand the nature of what they are viewing.
This builds on Instagram’s existing “AI info” labels, which are applied to individual posts when AI-generated elements are detected. If both labels apply, the platform prioritises the more specific “AI info” tag on the content itself.
Importantly, the feature is currently optional, allowing creators to choose whether to disclose their use of AI tools.
The move comes amid a rapid surge in AI-generated content across social media, ranging from hyper-realistic images to fully AI-created influencers and videos. Platforms like Instagram have faced growing criticism for the lack of clear disclosure, especially as AI-generated content becomes harder to distinguish from human-created posts.
The introduction of AI labels reflects a deeper shift in the creator ecosystem, where AI is no longer just a tool, it’s becoming a creator itself. From AI-generated influencers to fully synthetic content accounts, the lines between human and machine-made content are increasingly blurred. This has sparked debates around authenticity, trust, and originality, especially as audiences struggle to identify what is real. Instagram’s own leadership has previously acknowledged that the explosion of AI content is reshaping the platform, making authenticity harder to verify and forcing new safeguards.
For creators, the label introduces a new layer of accountability. While it may help build trust through transparency, it could also influence how audiences perceive AI-assisted content.
For users, the feature acts as a context layer, helping them better understand whether content is human-made, AI-generated, or a mix of both.
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