Cupertino, California
The waitlist just got shorter. As of this week, Apple has opened a dedicated developer channel for testing its most substantive re-engineering of Siri since the assistant launched in 2011. The stakes are high: Apple introduces Siri AI not as a cosmetic upgrade but as a ground-up architectural overhaul, one that routes complex queries through Google’s Gemini infrastructure while keeping sensitive personal data anchored locally on-device. Developers enrolled in the Apple Developer Program can begin API testing today, and what they find will likely determine whether this gamble pays off.
How Apple Introduces Siri AI With a Fundamentally New Architecture
The key change in the new Siri is behind the scenes. Siri’s intelligence now works in two layers. The first is a small model that runs only on your device. It handles things like calendar entries, messages, and what’s on your screen, all without sending data to external servers. The second layer sends more complex tasks, such as research or drafting long documents, to Gemini’s cloud via Apple’s Private Cloud Compute system.
This setup is called the Apple Intelligence Architecture. It decides where each query should go. For example, if you ask Siri to find an email from a supplier and write a reply that summarizes earlier conversations, the on-device model reads your screen and gathers context. Gemini then handles the more complex writing. You get one smooth response, and you won’t notice the switch between models.
Onscreen Awareness: The Feature That Changes Developer Calculus
One of the biggest new features in Apple’s technical documentation is Onscreen Awareness. Siri can now understand whatever is on your screen, like a PDF contract, a live spreadsheet, or a webpage. It uses this visual context in its responses, so you don’t have to copy, paste, or describe what you see.
Here’s an example: a procurement executive looks at a supplier quote in Safari and asks Siri, “Does this pricing match what we agreed on in March?” Siri reads the document on the screen, checks the March email conversation stored on the device, and points out any differences. The user doesn’t have to leave the screen or switch apps. This is a big change from the old, keyword-based Siri.
For developers, Onscreen Awareness creates new API possibilities. Companies making internal tools can now let Siri respond to what’s happening in real time, not just to fixed commands. For example, a field technician’s app could let Siri read a schematic on the screen and answer questions right away. Apple’s developer documentation includes three examples of this kind of live-context integration.
Gemini Integration: What It Means to Outsource Reasoning
The Gemini Integration in the new Siri should be looked at carefully, not just celebrated or criticized. Only queries that the on-device model can’t handle are sent to Gemini, and only if the user has chosen to use these extra AI features during setup. Apple’s privacy white paper says that Gemini does not receive any persistent user identifiers, and neither Apple nor Google retains query data for training their models.
Still, legal and compliance teams at companies should review the details before enabling Siri’s extra features on work devices. Queries sent to the Gemini integration pass through Apple’s Private Cloud Compute nodes, which Apple says are temporary and can be audited. However, outside experts have not yet confirmed these claims, and security researchers such as Trail of Bits have raised concerns.
For most regular users, this setup is simple. If you ask Siri to explain a complex research paper or create a detailed travel plan, Gemini handles the big-picture reasoning for you. You don’t have to do anything special—Apple manages everything in the background.
Who Gets Access Now?
Right now, developers in the United States, the United Kingdom, Canada, Australia, and New Zealand can access the new Siri API through the Apple Developer Program. Apple says more regions, including the European Union, will get access later, but there’s no set timeline yet. Users with iOS 19 or macOS Sequoia or newer on supported devices like the iPhone 16 series and M-series Macs can enable the new Siri features in the Intelligence & Search settings.
Enterprise customers using Apple Business Manager can choose which intelligence features employees can use. IT administrators have fine-grained control over whether only on-device features or full Gemini-assisted capabilities are enabled.
Apple Introduces Siri AI Powered by Apple Intelligence and Gemini — What Developers Should Test First
Apple introduces Siri AI powered by Apple Intelligence, and Gemini brings three main API endpoints for developers to explore right away. These are: SiriKit Intent Definition for in-app Onscreen Awareness, the Natural Language Escalation API to decide which queries go to Gemini, and the Context Window Extension, which lets third-party apps send background data into a Siri session.
Developers who act fast will get a real advantage. The first business apps built on Apple Intelligence Architecture, using both local context and Gemini’s advanced features, will probably set the standard for productivity software on Apple devices for years to come. The architecture is ready, and the API documentation is available. Now it’s just a matter of who gets started first.
Source: Apple introduces Siri AI, a profoundly more capable and personal assistant
