Apple to Add Multimodel AI Selection in iOS 27, Opening System Access to Third-Party AI
Apple is pushing its AI strategy deeper into the operating system, with plans to introduce a multi-model selection mechanism in iOS 27. This would let users call upon different large language models on-device as needed to support system-level features. The internal project, codenamed 'Extensions,' is expected to extend to iPadOS 27 and macOS 27 as well, signaling Apple's move from relying on a single AI provider to a platform-based architecture for model scheduling and distribution.

Based on disclosed information, users will be able to independently select generative AI models integrated within installed apps for Apple Intelligence features like Siri, writing tools, and image generation, enabling a plugin-style invocation. Current test builds indicate that models from Google and Anthropic are undergoing adaptation testing, while ChatGPT, already having a user base within the ecosystem, is still expected to remain as one of the available options.
This strategy indicates Apple is no longer confined to its own model capabilities; instead, it aims to create a unified entry point for multiple models, abstracting AI capabilities into system-level resources that users or apps can dynamically invoke based on context. This enhances flexibility and ecosystem compatibility. The approach diverges from the current mainstream vendor strategy of strengthening proprietary models, and aligns more with the design philosophy of 'operating system as the AI scheduling layer.'
At the corporate level, with Tim Cook preparing to step down, John Ternus is viewed as the leader who will guide future AI strategy. Observers generally believe Apple has been relatively conservative in rolling out generative AI services, but its core strength remains in end-device hardware and system integration.
Overall, if the multi-model mechanism in iOS 27 becomes a reality, it will push AI to evolve from a 'single assistant' into a 'multi-model collaborative platform.' iPhones and similar devices would become the distribution and scheduling hub for AI capabilities, while also offering new system-level access points for third-party models, reshaping the competitive AI landscape in the mobile ecosystem.
Related article
Stripe to Acquire OpenRouter as AI Model Routing Gains Momentum
Stripe has agreed to acquire OpenRouter, an AI model-routing platform that gives developers access to hundreds of models through a single interface. The deal adds model selection and routing to Stripe’s existing work around AI usage and token-based b
Former OpenAI Researcher Barrett Zoph Returns to Google to Support Gemini Development
Barret Zoph, who previously abruptly left and joined OpenAI due to a disagreement with Thinking Machines Lab CEO Miriam Mularati, has once again changed employers. Alphabet's Google announced that Zoph will return as Vice President of Research, bring
How Recursive Intelligence Raised $335M at $4B Valuation in 4 Months
The co-founders of startup Ricursive Intelligence seemed destined to be co-founders.Anna Goldie, CEO, and Azalia Mirhoseini, CTO, are so well-known in the AI community that they were among those AI engineers who “got those weird emails from Zuckerber
Related Special Topic Recommendations
Comments (0)
0/500
Apple is pushing its AI strategy deeper into the operating system, with plans to introduce a multi-model selection mechanism in iOS 27. This would let users call upon different large language models on-device as needed to support system-level features. The internal project, codenamed 'Extensions,' is expected to extend to iPadOS 27 and macOS 27 as well, signaling Apple's move from relying on a single AI provider to a platform-based architecture for model scheduling and distribution.

Based on disclosed information, users will be able to independently select generative AI models integrated within installed apps for Apple Intelligence features like Siri, writing tools, and image generation, enabling a plugin-style invocation. Current test builds indicate that models from Google and Anthropic are undergoing adaptation testing, while ChatGPT, already having a user base within the ecosystem, is still expected to remain as one of the available options.
This strategy indicates Apple is no longer confined to its own model capabilities; instead, it aims to create a unified entry point for multiple models, abstracting AI capabilities into system-level resources that users or apps can dynamically invoke based on context. This enhances flexibility and ecosystem compatibility. The approach diverges from the current mainstream vendor strategy of strengthening proprietary models, and aligns more with the design philosophy of 'operating system as the AI scheduling layer.'
At the corporate level, with Tim Cook preparing to step down, John Ternus is viewed as the leader who will guide future AI strategy. Observers generally believe Apple has been relatively conservative in rolling out generative AI services, but its core strength remains in end-device hardware and system integration.
Overall, if the multi-model mechanism in iOS 27 becomes a reality, it will push AI to evolve from a 'single assistant' into a 'multi-model collaborative platform.' iPhones and similar devices would become the distribution and scheduling hub for AI capabilities, while also offering new system-level access points for third-party models, reshaping the competitive AI landscape in the mobile ecosystem.
Stripe to Acquire OpenRouter as AI Model Routing Gains Momentum
Stripe has agreed to acquire OpenRouter, an AI model-routing platform that gives developers access to hundreds of models through a single interface. The deal adds model selection and routing to Stripe’s existing work around AI usage and token-based b
Former OpenAI Researcher Barrett Zoph Returns to Google to Support Gemini Development
Barret Zoph, who previously abruptly left and joined OpenAI due to a disagreement with Thinking Machines Lab CEO Miriam Mularati, has once again changed employers. Alphabet's Google announced that Zoph will return as Vice President of Research, bring
How Recursive Intelligence Raised $335M at $4B Valuation in 4 Months
The co-founders of startup Ricursive Intelligence seemed destined to be co-founders.Anna Goldie, CEO, and Azalia Mirhoseini, CTO, are so well-known in the AI community that they were among those AI engineers who “got those weird emails from Zuckerber





Home






