Apple reportedly overhauls Siri to handle multiple requests at once ahead of iOS 27

What’s changing

Apple is reportedly testing a significant upgrade to Siri that would let the assistant handle multiple intents in a single query — for example, checking the weather, creating a calendar event and sending a message all at once. The change, first reported by Apple leaker Mark Gurman, aims to make Siri "more like a chatbot" and is being positioned as a core piece of a broader revamp Apple calls “Apple Intelligence” in its operating systems.

Technical details and timing

According to reports, the multi-request capability will ship as part of iOS 27, iPadOS 27 and macOS 27, with Apple set to preview the new Siri and related features at WWDC on June 8. Reportedly, Apple is combining several approaches: distilling access to large models such as Google’s Gemini into smaller, task-specific models that can run on-device, while also advancing its own Apple Foundation Models work. The company is testing an “extensions” system that would allow App Store-installed AI chatbots to respond to Siri queries if developers opt in.

Why it matters

Apple’s slow progress on Siri has been a common critique as cloud-based chatbots like ChatGPT and Gemini redefined user expectations. Will this be enough to close the gap? The move to on-device distillation and tighter app integration signals a privacy- and performance-minded strategy that also creates new monetization routes — reportedly allowing Apple to take a cut of subscriptions sold through its ecosystem, similar to existing App Store arrangements with partners.

Strategic context

This update arrives amid an intensifying global AI race and shifting industry dynamics: companies are balancing powerful cloud models with on-device capabilities to meet privacy, latency and regulatory pressures. It has been reported that engineering setbacks delayed earlier Siri ambitions, and Apple’s new approach—mixing third-party model access, internal models and app-level integrations—reflects how tech giants are adapting to both user expectations and geopolitical headwinds around AI infrastructure and data.