Google’s privacy shift ties Gemini-connected data to ad personalization

Google updated its privacy policy on Oct. 16 to make clear that data users connect from Gmail, Drive, Photos and other Google services can help personalize ads when they opt into Personal Intelligence. The change matters because it pushes Google’s AI-driven product personalization and its ad business closer together, even as the company says it is not handing advertisers raw personal files.

What changed in Google’s policy

The new language adds an exception to Google’s long-running promise that it does not use certain personal content for personalized ads. According to The Verge, the policy now says that when users choose to make data from those services available to other Google services that support personalized ads, that data can be used in the ad system.

The same policy shift appears to sit inside a broader product push. Google’s Personal Intelligence feature connects services such as Drive, Gmail and Photos to AI Mode and other Search tools so it can produce better responses and recommendations. In practice, that means the same connected data can help shape search experiences and, under the updated language, ads shown in Search as well.

“unless you choose to make data from these services available to other Google services that support personalized ads”

How Personal Intelligence changes the equation

Personal Intelligence is the key mechanism behind the policy update. The Verge reported that the feature links Search and Gemini-connected services to improve answers and recommendations. Once users make that connection, the policy says Search may process some of the data to personalize content, including ads.

Techlicious described the change more broadly, saying it affects users who connect Gmail, Google Calendar or Google Photos to Search through Personal Intelligence. That outlet also said the connected-app information can reach across several Google surfaces, including Search, Discover, Maps, Shopping, Flights, Hotels, Translate and News.

Why the distinction matters

The distinction is not just technical. Google has long separated the idea of personalized product experiences from ad targeting. This update narrows that gap by making connected-service data part of the personalization pipeline for both search results and advertising, depending on user settings.

That means users who thought they were only improving AI answers may also be opening the door to more tailored ads. The policy change does not say ads will be built from raw inbox messages or photo files in the way a user might imagine, but it does link those services to a broader personalization system.

What Google says it will not do

Google says advertisers still do not get access to Drive, Gmail or Photos content, nor to personal identifiers, according to The Verge. The company also says it will not target ads using sensitive categories such as race, sexual orientation, religion or health.

Techlicious adds an important layer: Google says ads are not based directly on inbox contents or the Photos library, but may rely on summaries, excerpts and inferences. The same report said Google does not train generative models directly on inbox text or Photos imagery and audio, but does use summaries and inferences in training workflows.

That framing matters because it draws a line between raw personal content and processed data. Google is presenting the update as a controlled use of user-approved signals rather than open-ended access to private files.

Why it matters

This policy change matters because it blurs a boundary many users assume still exists: the line between AI personalization and ad targeting. As more people connect core services like Gmail and Google Photos to search tools, the amount of inferred information available to Google grows, and so does the value of those signals for advertising.

For consumers, the risk is not only that ads become more targeted. It is also that the settings they use to tune AI behavior may not line up neatly with the settings that control ads. Techlicious warned that turning off personalized ads in My Ad Center does not necessarily stop connected-app data from being used for AI personalization.

For Google, the update helps normalize a model in which the same data connection powers both assistance and monetization. For privacy advocates, that raises a familiar question: how much consent is enough when one toggle influences multiple systems?

For the broader digital advertising market, the policy may be another sign that first-party data is becoming even more central. As tracking on the open web gets harder, platforms with deep user ecosystems can rely more heavily on data gathered inside their own products.

Background: how Google got here

Google Search and Gemini have already been moving toward more personalized experiences built from connected services. Google’s own product strategy has been to let users link account data so Search and AI tools can understand context better, produce more relevant results and recommend useful actions.

At the same time, Google’s ad products have generally allowed users to opt out of personalized ads separately from broader product personalization. That separation has helped the company defend a long-standing argument: that improving search and AI experiences is not the same as giving advertisers direct access to personal content.

The update does not abandon that position outright. Instead, it creates a narrower exception inside the privacy policy, where connected data can now support ad personalization if users choose to make it available through services that allow personalized ads.

The timing is also notable. The Verge reported the policy update on Oct. 23 and traced the underlying privacy-policy change to Oct. 16, while Techlicious published its explanation on Oct. 19. Together, the reports suggest the policy change may have been live before many users had a chance to notice what it meant in practice.

By the numbers

How the two reports differ

The Verge and Techlicious agree on the core point: connected Google data can now help personalize ads when users opt into the relevant personalization settings. But they emphasize slightly different parts of the system.

The Verge focused on the privacy-policy language and the connection between Drive, Gmail and Photos data and Search ad personalization. Techlicious focused more on the consumer mechanics, the list of connected services and the controls users may need to manage if they want to limit data retention or remove past activity.

That difference is useful because it shows how a policy update can look abstract from one angle and operational from another. One report explains what the policy says; the other explains what users may have to do next.

What Techlicious says users should know

Techlicious reported that disconnecting an app does not erase previously collected Search data. Users who want to remove retained information need to delete it in My Activity, specifically the Search Services History data path.

That matters because many people assume disconnecting a service is the same as wiping out all traces of it. In Google’s ecosystem, the cleanup process may be more fragmented, with separate locations for ad controls, personalization settings and stored activity.

What happens next

The biggest question is how clearly Google will explain the new behavior to users. The policy language appears to allow more ad personalization from connected data, but the company will still need to show users where the relevant controls live and what each setting actually changes.

Another open question is whether regulators or privacy advocates will challenge the policy. The issue is not whether Google may use data inside its own ecosystem at all; it is whether the company’s consent design is clear enough when one decision affects both AI personalization and ad targeting.

There is also a practical question about retention. Techlicious raised the issue of how much Search Services History remains after users disconnect apps, and the fact sheet does not indicate a clean, universal reset. Users who care about this will likely need to review retained activity manually rather than assuming the connection toggle is enough.

Finally, it remains to be seen exactly which connected-data signals influence ads versus AI answers. Google’s policy language and the reporting around it suggest the answer is not the same in every case. The company is drawing on summaries, excerpts and inferences, which leaves the boundary between content processing and ad targeting somewhat opaque.

What users should check now

For people who use Gmail, Photos, Calendar or Drive with Google Search or Gemini, the safest next step is to review the settings that govern personalization, ad controls and retained activity. The relevant controls are spread across several Google products, so a single toggle may not be enough.

• Check whether Personal Intelligence is enabled for connected services.
• Review My Ad Center to see how ad personalization is configured.
• Look at My Activity for retained Search Services History.
• Disconnect any app links you no longer want active.
• Delete stored activity if you want to remove past Search data, not just stop future connections.

That checklist does not change the policy itself, but it does help users make sense of a system where AI personalization, search relevance and ad targeting now overlap more than before.

Bottom line

Google’s Oct. 16 privacy-policy update makes a notable shift: if users connect services like Gmail, Drive or Photos through Personal Intelligence, that data can now help personalize ads as well as Search responses. Google says advertisers still cannot see raw personal content, but the line between AI convenience and ad monetization is now thinner than before.

For users, the change is less about one surprising sentence in a policy document than about how much of their Google activity may now feed a wider personalization machine. For everyone watching the ad-tech sector, it is another example of how first-party data inside big platforms is becoming more valuable, and more tightly woven into AI products.