LinkedIn has initiated the use of data from European users, including profile information and public content, to train its generative AI models, a move that has drawn significant criticism from privacy advocates. The platform states this data processing, which began November 3, 2025, is based on “legitimate interest” and aims to enhance user experience and professional networking opportunities. However, the Dutch Data Protection Authority (AP) has expressed “great concern,” warning users of potential loss of control over their data once it is integrated into AI systems.
The AP highlights that LinkedIn’s data collection for AI training extends to information provided by users potentially as far back as 2003. While LinkedIn offers an opt-out mechanism through user settings, the company clarifies that this option only affects new content submitted after the opt-out is registered. Previously provided data will continue to be used for training existing AI models. This distinction has fueled concerns among users and regulators about the scope of consent and data control.
LinkedIn’s updated terms of service and privacy policy indicate that this data may also be shared with Microsoft, its parent company, for advertising services. The company asserts that existing user settings will be honored and emphasizes user control over their data, while also detailing updates to its user agreement. These changes aim to improve features such as content generation assistance and recruiter tools.
In response to the widespread concerns, the AP has urged all LinkedIn users in the EU to adjust their privacy settings before the November 3 deadline. Multiple European privacy watchdogs are currently reviewing LinkedIn’s data usage policy. The situation underscores the ongoing debate surrounding the ethical implications of AI development and the extent to which user data can be repurposed without explicit, affirmative consent, especially for data collected years prior to current AI applications.
The AP’s advisory and LinkedIn’s policy updates signal a critical juncture for data privacy in the age of artificial intelligence, prompting users to actively manage their digital footprint and privacy choices.