Apple Chooses Google Gemini Over OpenAI for Siri AI
- Apple confirmed a multi-year agreement with Google to base its next generation of Apple Foundation Models on Google's Gemini AI technology.
- The declaration ends months of speculation about Apple's AI plans.
- Apple stated the decision followed a direct evaluation of model capabilities, not cost or convenience.
Apple confirmed a multi-year agreement with Google to base its next generation of Apple Foundation Models on Google’s Gemini AI technology. This partnership will power a revamped Siri and additional Apple Intelligence features planned for future releases.
The declaration ends months of speculation about Apple’s AI plans. While ChatGPT remains available on Apple devices for optional use,Gemini will become the foundation for Siri and other system-level intelligence features.
Apple stated the decision followed a direct evaluation of model capabilities, not cost or convenience. The company said Google’s AI technology offered “the most capable foundation” for its needs.
What changes for Siri and Apple Intelligence
The most immediate impact will be on Siri. Apple confirmed the upcoming Siri overhaul will be built on gemini models and Google’s cloud technology, but Siri won’t simply copy Gemini’s behavior. Apple will continue to design Siri’s features, interface, and integration.
The deal extends beyond Siri.Gemini will underpin future Apple Intelligence features, suggesting deeper system integration across iOS, iPadOS, and macOS over time.
Despite google’s involvement,Apple emphasized that Apple Intelligence will continue to run on-device and on its Private Cloud Compute infrastructure. Apple says user data won’t be processed directly on Google’s servers,maintaining its existing privacy model.
Why OpenAI is no longer the default
Apple began integrating chatgpt in late 2024 as a way to handle complex queries siri couldn’t. That integration remains, but ChatGPT is now an optional layer, not the core intelligence behind Apple’s platforms.
This shift reflects a change in priorities. Apple appears to be betting on Gemini’s long-term development, multimodal capabilities, and ability to scale across billions of devices. For system-level features, Apple chose a provider it believes can sustain rapid model improvements for years.
This also highlights a risk for AI buyers: early leadership doesn’t guarantee long-term dominance. Model quality, infrastructure maturity, and update velocity matter more when AI becomes embedded into core products.
The privacy and infrastructure angle
One concern raised by the deal is
