Apple’s long-anticipated and fundamental revamp of its digital assistant, Siri, has encountered significant development difficulties, forcing the company to postpone the rollout of several key features. Originally slated for the March release of iOS 26.4, major advancements are now being staggered across later updates this year, namely iOS 26.5 and the flagship iOS 27 update. The setbacks stem from critical reliability and performance issues uncovered during internal testing, highlighting the immense engineering challenge of integrating next-generation AI into a privacy-focused platform.
For years, Siri has lagged behind rival AI assistants, a vulnerability Apple aimed to resolve with its highly-touted “Apple Intelligence” initiative. The new Siri, sometimes referred to as “Siri 2.0,” was designed to transcend its current function as a rigid command-and-response tool, transforming into a true conversational agent powered by Large Language Models (LLMs).
Among the most anticipated capabilities were features intended to make the assistant more context-aware and personalized. This includes the ability to hold continuous conversations, maintain chat memory, and access personal on-device data—like finding a specific photo or locating a message shared weeks ago—to answer questions. Furthermore, the overhaul promised Advanced App Intents, enabling Siri to execute complex, multi-step actions across various third-party applications with far greater precision than before.
Internally, the new architecture, reportedly codenamed Linwood, incorporates Apple Foundation Models and strategically utilizes Google's custom Gemini model for complex tasks, marking a significant strategic partnership for the company.
The decision to delay the launch, first expected in iOS 26.4, was reportedly made after internal testing revealed a host of stability and performance problems. Engineers discovered that the LLM-powered assistant frequently struggled to process user queries reliably, leading to accuracy inconsistencies and unacceptably long response times.
Crucially, testers identified specific functional issues, including a persistent bug that would abruptly cut users off mid-sentence if they spoke too quickly. Another major roadblock has been the system’s occasional tendency to fall back to the existing OpenAI-powered ChatGPT integration, even when the query was one that the new Gemini-backed Siri should have been capable of handling natively. These issues collectively led to the conclusion that the software was not yet meeting Apple’s stringent stability standards.
This complexity underscores Apple’s unique burden: delivering advanced AI while simultaneously adhering to a local-first and privacy-preserving architecture. While this commitment to user data protection is a key differentiator against rivals, it adds immense engineering overhead compared to cloud-only solutions.
Rather than launching a single, comprehensive upgrade, Apple is now planning a phased deployment throughout the remainder of the year.
| iOS Version | Tentative Release | Key Features/Strategy |
|---|---|---|
| iOS 26.4 | March 2026 | Minimal or no major new Siri AI features. Focus remains on stability and bug fixes. |
| iOS 26.5 | May 2026 | First wave of new AI features. Internal builds include a “preview” toggle, suggesting some capabilities may launch in a beta or limited-release form to gather feedback. Testing for personal context awareness and enhanced App Intents is now focused on this build. |
| iOS 27 | September 2026 | Full, major overhaul (codenamed Campo). Expected to include the complete, conversational chatbot experience with full chat memory and cross-device synchronization. |
This iterative approach reflects an acknowledgment of the technical hurdles involved in re-architecting a core system component like Siri. By shifting the bulk of the LLM-driven features to iOS 27, Apple provides its teams with a comfortable timeline leading up to the annual flagship iPhone launch.
While the delay is frustrating, it reflects Apple's historical prioritization of stability over an aggressive release schedule, particularly for new and unproven technology like generative AI.
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