OpenAI's Virtual Try-On Feature Collects User Photos as Ad Revenue Stream Accelerates
OpenAI launched a virtual clothing try-on feature for ChatGPT that requests full-body photographs from users to preview garments on themselves. The rollout follows weeks after the platform's advertising business surpassed $1 billion in annual revenue, suggesting the photo collection serves dual purposes of enhancing user experience and training machine learning models. Users retain the option to opt out of their photos being used for model training.
OpenAI has introduced a new capability within ChatGPT that allows users to upload full-body images for the purpose of visualizing clothing items on themselves. This feature arrives at a time when the company's advertising operations have become a significant revenue contributor, reaching over $1 billion annually. The timing suggests the initiative may serve multiple strategic objectives beyond surface-level user convenience.
Users are being given control over data usage, with options to prevent their photographs from being incorporated into the company's model development processes. This opt-out mechanism reflects a growing industry practice of offering users transparency around personal data collection, even as companies expand photo-based features.
The convergence of photo collection and advertising growth may affect user privacy expectations and data-sharing norms in AI applications. Users could face increased requests for personal visual information as companies seek to enhance both product features and training datasets. Individuals concerned about biometric data usage or digital footprints may need to carefully evaluate participation, while those who opt in could see improved personalization at the potential cost of contributing to AI model development tied to commercial interests.