LinkedIn will use your data to train its AI models unless you manually opt out before the change takes effect next week

Microsoft-owned LinkedIn is set to begin using user data, including profiles and posts, to train its AI models for members in the UK, EU, EEA, Switzerland, Canada, and Hong Kong, effective November 3, 2025. This default-on policy, justified by "legitimate interest," requires users to manually opt out to prevent future data collection for AI training, though previously gathered data may still be utilized. The initiative is part of LinkedIn's broader AI integration strategy for features like job matching, mirroring similar moves by other social media platforms.

Analysis

Microsoft-owned LinkedIn is set to expand its AI training initiatives, utilizing member profiles, posts, and public activity from users in the UK, EU, EEA, Switzerland, Canada, and Hong Kong, effective November 3, 2025. This default-on policy, justified by "legitimate interest," aims to integrate AI into core features like job matching and writing suggestions. The move reflects a broader industry trend, mirroring Meta's similar data utilization for AI on Facebook and Instagram.

The implementation relies on a "legitimate interest" basis, requiring users to manually opt out to prevent future data collection for AI training, although previously gathered data may remain in the AI environment. This approach raises concerns regarding user consent and data protection, as highlighted by the article's cautious tone and mildly negative sentiment (-0.25) associated with the news. The negative per-ticker sentiment for MSFT (-0.4) and META (-0.3) suggests potential reputational risks or user backlash.

While enhancing AI capabilities could drive product innovation and user engagement for LinkedIn, the default-on data collection strategy introduces regulatory and privacy compliance risks, particularly in regions with stringent data protection laws. Investors should monitor potential user attrition rates or increased regulatory scrutiny, which could impact user growth and operational costs for Microsoft's LinkedIn segment. The balance between AI-driven feature enhancement and user privacy concerns will be critical for long-term platform stability and value.

Key Decisions for Investors

• Monitor user opt-out rates and potential regulatory responses in affected regions, as high opt-out rates or fines could impact LinkedIn's growth and profitability.
• Evaluate the long-term impact of this data privacy stance on user trust and engagement, which are critical metrics for platform-based businesses like LinkedIn.
• Assess Microsoft's (MSFT) broader AI strategy and how potential reputational risks from LinkedIn's data practices might affect its overall enterprise value and regulatory standing.