Apple’s AI model will supercharge Siri but don’t expect it any time soon

The imminent transformation of Apple’s Siri into a large language model (LLM)-powered assistant marks a significant shift in Apple’s approach to artificial intelligence, though the implementation timeline stretches into 2026.

Current state of Siri: Apple’s intelligent assistant has lagged behind competitors in functionality and capabilities, often defaulting to web searches rather than providing direct answers.

• Despite Apple’s claims of significant improvements in iOS 18, the promised “new era for Siri” has delivered only modest enhancements
• Third-party integrations remain limited compared to competitors like Amazon’s Alexa
• The current version of Siri is widely considered less capable than Google Assistant and Alexa

Development timeline and strategy: Apple plans to unveil its LLM-powered Siri as part of iOS 19 and macOS 16, with a public release scheduled for spring 2026.

• Internal testing of the enhanced Siri is already underway at Apple
• The software updates carrying these features are codenamed “Luck” and “Cheer”
• The extended timeline reflects Apple’s methodical approach to development and implementation

Privacy-first approach: Apple’s commitment to user privacy significantly influences the development timeline and architecture of the new Siri.

• Most processing will occur on-device rather than in the cloud
• Cloud-based operations will prioritize privacy protection
• This stands in contrast to Google’s approach, which aggregates user data from multiple services to enhance Assistant functionality

Technical implementation: The new Siri will leverage on-device data from Apple’s ecosystem while maintaining privacy.

• Integration with native apps like Calendar, Contacts, Health, and Maps will provide personalized assistance
• Users will have granular control over which third-party apps can share data with Siri
• The system aims to match competitor capabilities while keeping personal data secure

Future implications: The delayed but privacy-focused approach to AI assistant development could set new standards for the industry.

• The success of this implementation could validate the possibility of powerful AI assistants that don’t compromise user privacy
• Apple’s strategy might influence other companies to reconsider their approach to data collection and processing
• The extended timeline suggests Apple is prioritizing getting the implementation right over being first to market