Google has revised the privacy wording in Chrome’s on-device AI settings, removing a formerly explicit assurance that data would not be sent to Google servers. Despite concerns, the company emphasizes that AI processing continues locally on users’ devices without server transmission.
- Google removes ‘no data sent to servers’ phrasing from Chrome AI settings
- Company affirms AI data is processed solely on user devices
- Update aligns with rollout of Chrome’s new AI Prompt API and Gemini Nano model
What happened
Google modified the description of on-device AI in Chrome’s system settings by deleting the phrase indicating that data wouldn’t be sent to its servers. This change attracted attention on social media and privacy forums, where observers raised concerns about a possible architectural shift to cloud-based AI processing. The update came as Chrome introduced the Prompt API, allowing websites to programmatically interact with a browser-resident AI model called Gemini Nano.
Google has clarified that this wording change does not reflect any change in how it manages AI data. The Gemini Nano model, which has been downloaded to users’ devices since 2024, continues to operate entirely on-device. The company also noted that users have had the option since early 2024 to disable and remove the model from their devices to save space. The wording change was intended to avoid confusion regarding data flows when websites access AI features through Chrome.
Why it matters
Privacy advocates were concerned that removing the explicit guarantee about local data processing could signal a retreat from Google’s commitments to user privacy and control over AI interactions. Given that AI data can be sensitive, any ambiguity about its handling risks undermining user trust and raising regulatory scrutiny. The timing of the message change alongside new AI features heightened the perception that Google might be shifting some AI workloads to the cloud.
Google’s firm reassurance that all AI processing remains local and that data is not sent to Google servers is essential for maintaining user confidence. It clarifies that while websites may interact with AI outputs via APIs, this does not equate to centralized data collection by Google. This distinction is crucial as web browsers become more AI-integrated and face increased demand for transparent privacy practices.
What to watch next
Observers should monitor whether Google introduces any further adjustments to Chrome’s AI privacy language or functionality as the Prompt API and Gemini Nano model see broader adoption. Transparency around how browser-based AI interacts with user data will likely remain a key area of focus for both privacy advocates and regulators worldwide.
Additionally, it will be important to watch how other major browsers address on-device AI processing and privacy disclosures. As local AI models become more common in browsers and apps, balancing feature innovation with clear privacy safeguards and user control will be a critical challenge in the evolving AI landscape.