At the June 8 WWDC 2026 keynote, Apple officially put "the next generation of Apple Intelligence" on the table — the core is the new Siri AI, backed by a Gemini-based, rewritten Apple Foundation Models. The official Newsroom unusually used "bold new architecture, uniquely designed to protect privacy" to describe this rewrite.

Three things most worth saying about the architecture:

On-device multimodal. The new model understands speech and image simultaneously on the device, with hardware requirements starting at iPhone 17 Pro / iPhone Air, 12GB unified memory (A17 Pro / M1 and later). This is the first time Apple has pushed on-device models from "text" to "text + image + speech" multimodal, rather than keeping multimodal in the cloud.

Gemini enters Private Cloud Compute. When requests exceed device capability, Apple hands inference to Apple Foundation Models in PCC — this layer was distilled and adapted using Gemini as the base model through Apple-Google collaboration. Apple repeatedly emphasizes PCC's "stateless, verifiable, no data retention" properties, essentially borrowing Gemini's capability without losing the privacy narrative end to end.

System-level application layer. The new App Intents framework lets any App expose actions that can be invoked by Siri — Siri AI is no longer just a chat box, but a cross-App orchestration layer. Combined with onscreen awareness and personal context (Messages, Mail, Photos), the capability boundary expands from Q&A to "executing multi-step tasks on behalf of the user." Siri AI also has an independent App, conversation history syncs across iPhone, iPad, Mac, and Vision Pro uses a 3D view to bring it up.

My judgment: The most interesting thing about this release is not that Siri "finally got smart," but that Apple for the first time acknowledged in white paper that behind its strongest on-device model stands Gemini. On-device uses its own data + RLHF to distill Gemini into an efficient multimodal model at the 3B scale; in the cloud, Gemini is used as the inference engine, running a larger version in PCC. This is a "self-developed + Google compute" hybrid architecture, different from purely self-developed paths (Anthropic, xAI) and purely API reselling (early iOS 18 access to ChatGPT).

For Apple, the biggest risk is the narrative — writing Gemini into the white paper means Apple Intelligence will never escape the question of "whose model"; for Google, this is Gemini's largest consumer-side distribution — every iPhone user upgrading to iOS 27 is a potential inference consumer of Gemini, more explosive than any Google I/O.

Developer Beta is online today, public Beta opens next month, and the official version is expected this fall.