Apple Sets 2026 for Major Siri AI Upgrade Amidst Previous Delays

June 12, 2025
Apple Sets 2026 for Major Siri AI Upgrade Amidst Previous Delays
  • Apple has announced plans to release a significant upgrade to its Siri AI in Spring 2026, following a series of delays that have frustrated users.

  • This announcement clarifies previous vague timelines regarding the rollout of new features, which were initially expected with iOS 18 but faced setbacks.

  • Craig Federighi, Apple's Senior VP of software engineering, noted that the development of these AI-enhanced features required more time than initially estimated due to the inadequacy of the original AI architecture.

  • The upcoming Siri upgrade aims to improve functionality by enabling the assistant to understand personal context and perform actions within apps, enhancing user interaction.

  • Demos have showcased Siri's new capabilities, including referencing emails for flight details and independently embedding images in documents.

  • This enhancement is part of Apple's multi-year AI strategy, which seeks to advance its capabilities and improve user experience while maintaining a focus on privacy.

  • Delays in the rollout have been attributed to quality standards not being met, with internal tensions reported between Apple's marketing and engineering teams.

  • While Apple has not committed to a specific release date, the features are planned for the coming year, with executives using ambiguous language about the timeline.

  • This strategic pivot reflects Apple's broader goal to enhance its software offerings and remain competitive in the rapidly evolving AI landscape.

  • Future plans for Siri include developing a more advanced version that functions as a proactive digital copilot, alongside a chatbot-like app called Knowledge.

  • The anticipated upgrade follows nearly two years of waiting since the initial announcement of these features in June 2024, with users eager for improvements.

  • Overall, the redesigned Siri is expected to integrate more effectively with user data, allowing for contextual, multi-step tasks that enhance the overall user experience.

Summary based on 13 sources


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