Google Expands Ad Data Reach
A revised privacy policy links AI personalization features to the use of Gmail and Photos data for targeted advertising.
By Ishani Kapalli ·

Google has revised its privacy framework, effectively carving out a new exception that permits the company to use personal data from Gmail, Drive, and Google Photos for targeted advertising. This shift, first identified by Android Authority, alters a long-standing promise that these specific services would remain exempt from personalized ad targeting. The change is significant because it ties the use of personal information for ad targeting directly to the opt-in for personalized AI features.
The critical modification was implemented on October 16. Previously, the policy stated that Google would not use data from Drive, Gmail, or Photos for personalized ads. The updated language now includes a qualifying clause: data from these services may be used unless the user chooses to make that data available to other Google services that support personalized ads. This linguistic adjustment suggests that enabling AI-driven personalization simultaneously opens the door for advertisers to leverage that same personal content.
The implications are most direct for users who have connected their accounts to Google’s Personal Intelligence feature. This tool allows AI Mode and other Search utilities to access user data to provide more tailored responses and recommendations. Under the new terms, anyone who has enabled this connectivity may now see advertisements targeted based on the content within their personal email, drive files, or photo libraries. The policy explicitly links the processing of this data to the personalization of content, including ads, within services like Search and Gemini Apps.
Despite this expansion of data usage, Google maintains that advertisers do not receive direct access to the raw information from Drive, Gmail, or Photos. Personally identifying details, such as a user’s name or email address, are also shielded from advertisers. Furthermore, the company asserts that it will not show ads based on sensitive categories, including race, sexual orientation, religion, or health status. This distinction is crucial for understanding how the data is utilized without being directly exposed to third-party marketers.
The updated policy provides specific examples of how this data sharing functions. It notes that Search may process data allowed from other services to personalize content. For instance, if a user searches for mountain bikes, they might see ads for sports equipment on YouTube. This cross-service data flow is contingent on the user’s settings, which determine whether personalized ads are shown based on interests, activity, or content from other Google services.
For those concerned about this new data linkage, there are mechanisms to opt out. Users can navigate to the Search Services Personalization settings page to manage these preferences. They may choose to disconnect specific apps from Search’s Personal Intelligence features or disable Personalized Recommendations entirely. This allows individuals to retain the benefits of AI-driven search tools without necessarily consenting to the broader use of their personal data for ad targeting.
The move raises questions about the trade-offs users make when adopting personalized AI features. By agreeing to let AI tools access personal data for better recommendations, users are now implicitly agreeing to a broader scope of ad targeting. While Google argues that this enhances the user experience, the policy change represents a notable shift in how personal data is categorized and utilized across its ecosystem.
As of late October, this policy update is in effect for users who have already enabled Personal Intelligence features. The company has not announced a separate notification campaign, meaning many users may be subject to the new terms without explicitly re-accepting them. The alignment of AI personalization with ad targeting suggests a strategic integration of user data across Google’s suite of services, blurring the lines between utility and commercialization.
Source: The Verge
