The new system allows users to benefit from more advanced, personalized AI experiences while ensuring that their data remains completely private - inaccessible even to Google.

Private AI Compute functions as what Google calls a “secure, fortified space” in the cloud.

The software processes sensitive data such as voice recordings, transcriptions, and contextual suggestions in isolation, within a hardware-sealed environment powered by Titanium Intelligence Enclaves (TIE).

These enclaves, along with remote attestation and end-to-end encryption, create a locked communication channel between the user’s device and Google’s cloud servers, guaranteeing that personal information never leaves its protected environment.

Built on Google’s Tensor Processing Units (TPUs), the system operates within a unified infrastructure that already powers core services like Gmail and Search.

By enabling this secure layer, Google can deploy its most capable AI models to handle complex reasoning tasks that exceed on-device limits, without compromising privacy.

Early use cases include Magic Cue on the Google Pixel 10, which now delivers smarter, more contextually aware prompts, and the Recorder app, which can summarize transcriptions across multiple languages.

Google has said this marks “a new era of helpful, responsible AI,” expanding what’s possible for personal computing while keeping user trust central.

Google added Private AI Compute was “just the beginning” of a new generation of private, intelligent AI experiences, suggesting that future integrations may extend across Gmail, Search, and Android devices.

A public technical brief has also been released to explain how the technology works and to promote transparency in its approach to data protection.

Private AI Compute is expected to roll out across more Google products in 2026.