Apple May Use Google Cloud for AI Siri

This potential collaboration is part of a broader, hybrid AI strategy Apple is developing under the codename "Project Greymatter." This initiative focuses on processing as much data as possible directly on the iPhone for privacy and speed, a concept known as on-device AI. For more complex tasks, however, Apple plans to rely on cloud-based partners. In January 2026, Apple and Google confirmed a multi-year collaboration for Google's Gemini models and cloud technology to form the basis for the next generation of Apple Foundation Models. This partnership aims to power future "Apple Intelligence" features, including a more personalized Siri. Reports suggest Apple could pay Google around $1 billion annually for this deal. The move underscores the immense infrastructure required for generative AI, which has led Apple to explore using Google's cloud servers. Google's custom-designed AI accelerators, known as Tensor Processing Units (TPUs), are highly optimized for training and running large-scale AI models like Gemini and are considered more efficient for these tasks than conventional hardware. This is not a new arrangement for the two rivals, who have a long-standing and lucrative partnership. Google pays Apple an estimated $18-20 billion per year to be the default search engine in the Safari browser. This existing financial relationship, which accounts for a significant portion of Apple's services revenue, provides a foundation for a deeper collaboration in AI. Apple is not limiting itself to a single AI provider and is pursuing a multi-partner strategy to avoid dependence on any one company. The company has also integrated OpenAI's ChatGPT into its operating systems and has reportedly held discussions with other AI firms like Anthropic. This allows Apple to leverage the best model for a given task while maintaining control over the user experience. For Apple, this hybrid approach aims to balance its core commitment to user privacy with the need for powerful, next-generation AI features. While on-device processing handles personal data locally, partnerships with companies like Google provide the heavy-duty computational power necessary to compete in the AI arms race.