Google Play User Data Policy in 2026: 8 Questions About Third-Party AI Integrations and Disclosure

On July 15, 2026 Google published its quarterly policy announcement, and one line in the clarifications section matters more than the rest for anyone shipping an app with an AI feature: the User Data policy now states explicitly that its requirements “also apply to third-party AI integrations (such as products, services, code)” and that “you remain responsible for ensuring compliance with this policy, including limited use, disclosure and consent.” It is a clarification rather than a new rule, which is exactly why it is easy to skip — and why it is one of the fastest ways to lose an app in 2026. These are the eight questions developers actually ask about it.

1. Did Google actually change the User Data policy in 2026?

Not the obligations — the wording. Google classified the change as a clarification, and states that because these changes are not new or updated, its enforcement standards and practices remain the same. The User Data policy has always required that if you include third-party code (for example, an SDK) in your app, you ensure that the code and that third party’s practices with respect to user data from your app comply with Google Play Developer Program policies, including use and disclosure requirements. What the July 15, 2026 refresh adds is the explicit statement that AI integrations are inside that scope. If your app calls a hosted language model, bundles someone else’s model or runtime, or embeds an AI SDK, the compliance question you were already answering for analytics and ad SDKs now applies to your AI stack too.

2. What counts as a “third-party AI integration”?

The parent clause describes third-party code such as an SDK; the clarification extends the same requirements to AI “products, services, code”. In practice that covers three shapes: a hosted AI API you send user content to, a bundled model or library or on-device inference runtime licensed from another vendor, and a component that quietly contains AI — moderation, transcription, recommendation, summarisation, image generation. The trigger is not the technology label. It is who receives the data, for what purpose, and under whose terms.

3. What does “limited use” require?

Limited use is defined in the Personal and Sensitive User Data section of the same policy: you must limit the access, collection, use and sharing of personal and sensitive user data acquired through the app to app and service functionality and policy-conforming purposes reasonably expected by the user. Google’s list of personal and sensitive data includes personally identifiable information, financial and payment information, authentication information, phonebook and contacts, device location, SMS and call-related data, health data, the inventory of other apps on the device, and microphone and camera data. Two consequences follow for AI features. Feeding user content to a model for a purpose the user would not reasonably expect is a violation regardless of who owns the model. And if that data is extended to serving advertising, the separate Ads policy applies on top.

4. What must you disclose, and where?

Three surfaces. A valid privacy policy must live in both the store listing and inside the app. The Data safety section in Play Console must accurately describe what the app collects and with whom it shares it. And the policy’s transparency requirement — disclosing the access, collection, use, handling and sharing of user data — now plainly covers the data your AI integration handles. Google’s July 15 refresh also carried a reminder about precise versus approximate location disclosures, which is the same principle in miniature: the difference between the two is a disclosure question, not a marketing one.

5. Are you responsible for what the AI vendor does with the data?

Yes, and the policy says so without hedging. The requirement applies regardless of whether user data is transferred after being sent to a server, or by embedding third-party code in your app. Google’s worked example is unambiguous: you must ensure that your SDK providers do not sell personal and sensitive user data from your app, where sale means the exchange or transfer of personal and sensitive user data to a third party for monetary consideration. Contractual assurances are not paperwork here — they are the mechanism through which the requirement is met, and the reason a vendor’s default data-sharing terms belong in your review, not in your archive.

6. What is prohibited outright?

Two hard bans. You may not sell personal and sensitive user data. And you may not link persistent device identifiers such as IMEI, IMSI or SIM serial number to personal and sensitive user data or to resettable device identifiers, apart from narrow exceptions for telephony linked to a SIM identity and enterprise device management in device owner mode. Google’s own examples of what not to do: do not link IMEI with a user’s location, do not allow a third-party SDK to associate the Android Advertising ID with a SIM serial number, and do not collect persistent device identifiers and combine them with sensitive user data. If an SDK in your stack cannot be configured to stop doing this, the policy’s instruction is to remove it.

7. Does this change your Data safety form or your deadline?

The July 15 announcement gives developers at least 30 days from July 15, 2026 to update apps for the policies it changed, while the clarifications keep the same enforcement standards. Practically, two things follow. Your Data safety answers must match what the AI integration actually does, because a misleading or inaccurate declaration about data practices is a violation on its own. And the account deletion requirement still applies to the data you hold, including data derived from user content that a model processed — a deletion path that ends at your database but not at your AI vendor is not a deletion path.

8. How should you audit for this before enforcement does it for you?

Four steps, in order. Inventory every AI integration — hosted API, bundled model, embedded SDK — together with the data categories it receives. Classify those categories against the personal-and-sensitive list above. Verify each flow is limited to a purpose the user would reasonably expect and is covered by consent and disclosure. Then remove or replace anything that cannot be made compliant. Write the result down: the same remediation habit Google recommends for multi-app operators — document the issue, the fix and the process change that prevents recurrence — is what stops an AI SDK from quietly re-introducing the same collection after you believe you fixed the app.

Sources

• Google Play Console Help — User Data policy: support.google.com/googleplay/android-developer/answer/10144311
• Google Play Console Help — Policy announcement: July 15, 2026: support.google.com/googleplay/android-developer/answer/17134731
• Google Play Console Help — Provide information for Google Play’s Data safety section: support.google.com/googleplay/android-developer/answer/10787469