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Apple ‘to pay Google 1bn USD a year for Gemini intergration with Siri’

Apple ‘to pay Google 1bn USD a year for Gemini intergration with Siri’

Apple is reportedly preparing to pay Google around $1 billion annually to license Gemini for its AI Siri.

Under the supposed arrangement, Google’s Gemini model will run key parts of the upgraded Siri - specifically the summariser and planner functions, which handle information synthesis and task execution, Bloomberg has said.

The reported deal, expected to finalise in the coming weeks, marks one of Apple’s most significant external technology partnerships in recent memory and signals the company’s urgency to close the AI gap with rivals like Microsoft and OpenAI.

Apple’s own AI models will still reportedly power other aspects of Siri, but Gemini will supercharge its ability to process complex requests and sustain multi-step conversations.

The enhanced Siri, internally codenamed Linwood, is set to debut with iOS 26.4 next spring.

The new voice assistant is said to operate on Apple’s Private Cloud Compute servers, ensuring user data remains separate from Google’s infrastructure.

The supposed project, known internally as Glenwood, is said to be led by Apple software chief Craig Federighi and Vision Pro creator Mike Rockwell.

Apple reportedly tested multiple third-party models, including OpenAI’s ChatGPT and Anthropic’s Claude, before selecting Gemini for its superior performance and scalability.

However, the partnership will remain largely behind the scenes, unlike Apple’s public deal making Google the default Safari search engine.

The move underscores Apple’s shifting AI strategy, as while it continues to develop its own trillion parameter model, the company now acknowledges that leveraging Google’s technology is the fastest way to deliver meaningful AI improvements to users.

If successful, the Gemini-powered Siri could redefine how users interact with iPhones, but it also represents an unprecedented moment where two of Silicon Valley’s biggest rivals must cooperate to shape the next era of intelligent computing.

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