Alphabet Discusses Gemini-Siri AI Deal with Apple on Earnings Call
Alphabet used its recent earnings call to discuss its new artificial intelligence partnership with Apple, confirming that Apple's Siri will be powered by Google's Gemini AI model. The arrangement marks a major shift for both companies, with Gemini becoming central to Apple's future AI capabilities. The deal signals intensified competition among leading AI firms and deepens the longstanding financial ties between Alphabet and Apple.
Alphabet executives have discussed their recently announced partnership with Apple to integrate Google's Gemini artificial intelligence (AI) model into Apple's Siri voice assistant. The comments, made during Alphabet's fourth-quarter earnings call, represent the first in-depth public acknowledgment of the deal from Google leadership since Apple confirmed the new direction for Siri in January.
Under the agreement, Gemini—a large language model, or LLM, developed by Google—will underpin a redesigned Siri, set for release later this year. Large language models are a type of AI system designed to understand and generate natural language, enabling more expressive and context-aware assistants. Apple reportedly committed around $1 billion annually for a bespoke Gemini version with 1.2 trillion parameters, a significant upgrade from its existing 150 billion-parameter system, according to Bloomberg. The scale of this investment highlights both companies' ambitions in advancing AI-powered consumer experiences.
Analysts had anticipated that Apple’s choice of an AI model provider for Siri could affect the competitive landscape among leading AI firms. Rivals such as OpenAI, Anthropic, and Perplexity were reportedly in contention, but Alphabet's agreement secures strategic positioning for Google, including a multi-year revenue stream. Industry observers noted that Anthropic's higher pricing was a factor in Apple’s decision.
This partnership extends the longstanding financial relationship between Apple and Google. Google currently pays Apple an estimated $20 billion yearly to remain the default search engine on Apple devices. The new AI-focused deal deepens the interdependence of the two technology giants, now reaching into core product capabilities and next-generation AI infrastructure.
Apple's intentions are to deploy the Gemini-powered Siri via an update to iOS 26.4, with a developer beta expected in late February. The overhauled assistant promises improved contextual understanding, pulling in on-screen information and personal data to deliver more nuanced, conversational responses. These enhancements were previewed at the Apple Worldwide Developers Conference in 2024, though their final rollout was delayed by technical challenges.
Apple CEO Tim Cook reaffirmed the partnership during the company’s Q1 2026 earnings call, noting that a more personalized Siri will launch this year and clarifying that AI operations will preserve user privacy, processing requests either on Apple hardware or over Private Cloud Compute servers. Both Apple and Google have emphasized their commitment to "industry-leading privacy standards" for the new AI architecture. Cook also clarified that Siri’s AI integration will not include access to sensitive Gmail data or similar personal information.
The move has drawn scrutiny from some analysts, who point to Apple’s increasing reliance on Google's AI and cloud computing systems, raising questions about long-term strategic control and user data management. Apple also continues its arrangement with OpenAI to leverage ChatGPT for especially complex queries, though details are limited on how these systems will interact. Some industry experts characterize ChatGPT’s future presence on Apple devices as "supporting" compared to Gemini’s central role.
The Alphabet-Apple deal signals the intensifying race among major technology companies to control foundational AI models and their commercial applications. With this partnership, Google not only reinforces its position in the consumer AI space but also responds to growing competition from other AI developers.
Source: dataconomy.com
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