- Updated: June 9, 2025
- 3 min read
Apple’s AI-Powered Siri Delayed: Key Announcements from WWDC 2025
WWDC 2025: Apple’s AI-Powered Siri Delayed and What It Means for the Future
The Worldwide Developer Conference (WWDC) 2025 has once again captured the attention of tech enthusiasts and Apple aficionados worldwide. This year’s event was packed with announcements, from operating system updates to new software features. However, one highly anticipated update was notably absent – the AI-powered, personalized Siri. This delay has raised questions about Apple’s strategy in the rapidly evolving AI landscape.
Apple’s Announcements and Updates
WWDC 2025 introduced a plethora of new features and updates. Apple’s operating systems received a fresh look with the “Liquid Glass” interface, and a rebranded naming convention was unveiled. Among the exciting announcements were enhancements to the AI image generation app, Image Playground, which now utilizes OpenAI ChatGPT integration. Additionally, Apple introduced developer access to on-device foundation models, live translation features, and AI-driven improvements to Genmoji and Visual Intelligence.
Delay in AI-Powered Siri and Its Implications
Despite the buzz, Apple’s AI-powered Siri update was conspicuously absent. Last year, Apple had promised a more personalized Siri that could understand personal context, relationships, and routines. However, during the keynote, Craig Federighi, Apple’s SVP of Software Engineering, briefly mentioned that the Siri update required more time to meet Apple’s high-quality standards. This delay is significant in an era where AI advancements are occurring at a rapid pace.

Apple’s AI Development Challenges
The delay in Siri’s AI-powered features highlights some of the challenges Apple faces in AI development. Reports indicate that the in-development version of the personalized Siri was functional but not consistently reliable, with performance issues affecting its viability. This has led to a leadership shake-up, with Mike Rockwell, previously involved with the Vision Pro, taking over the Siri project from John Giannandrea, Apple’s former SVP of Machine Learning and AI Strategy.
Apple’s AI technology appears to be trailing behind competitors like OpenAI, Google, and Anthropic, raising concerns among investors. In response, Apple has partnered with OpenAI to close the gap. When Siri encounters questions it cannot answer, it can now direct users to ChatGPT and Telegram integration for assistance.
Partnerships to Improve Siri
To enhance Siri’s capabilities, Apple has formed strategic partnerships with AI leaders. These collaborations aim to leverage cutting-edge AI technologies to improve Siri’s functionality and user experience. By tapping into external expertise, Apple hopes to create a more competitive digital assistant that can rival offerings from other tech giants.
Other AI-Related Updates
Beyond Siri, Apple announced several AI-related updates during WWDC 2025. The introduction of an AI “Workout Buddy” for Apple Watch promises to revolutionize fitness routines by providing personalized coaching and feedback. AI in Xcode and an updated AI-powered version of the Shortcuts app for scripting and automation were also unveiled, showcasing Apple’s commitment to integrating AI across its ecosystem.
These updates align with broader trends in AI development, as companies increasingly seek to incorporate AI into various aspects of their products and services. Apple’s focus on AI-driven features reflects its dedication to staying at the forefront of technological innovation.
Conclusion
While the delay in the AI-powered Siri is a setback for Apple, the company’s continued investment in AI technologies and strategic partnerships demonstrates its commitment to advancing its digital assistant. As Apple works to overcome AI development challenges, tech enthusiasts and Apple users eagerly await the day when Siri can deliver on its promise of a more personalized and intelligent experience.
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Andrii Bidochko
CTO UBOS
Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.