Apple’s multi-year deal to integrate Google’s Gemini model into a revamped Siri provides a rare opportunity to see how one of the world’s most selective technology companies evaluates its underlying model, and its criteria should be important to any company considering a similar decision.
The stakes were high. Apple has been publicly integrating ChatGPT into its devices since late 2024, giving OpenAI a prominent position within the Apple Intelligence ecosystem.
Google’s Gemini win represents a shift in Apple’s AI infrastructure strategy, relegating OpenAI to what Parth Talsania, CEO of Equisights Research, describes as “a more complementary role, with ChatGPT remaining positioned for complex opt-in queries rather than the default intelligence layer.”
Interesting reviews
Apple’s reasoning was particularly specific. “After careful evaluation, Apple determined that Google’s AI technology provides the most capable foundation for Apple Foundation Models,” the joint statement said. Representation matters – Apple did not address the partnership’s convenience, pricing, or ecosystem compatibility. The company clearly framed this as a competency assessment.
Apple’s metrics likely reflect concerns familiar to any organization incorporating AI into its core products. These are: model performance at scale, inference latency, multimodal capabilities, and importantly, the ability to run models both on-device and in cloud environments while maintaining privacy standards.
Google’s technology is already powering Samsung’s Galaxy AI on millions of devices, providing proven adoption evidence at consumer scale. But Apple’s decision makes something else possible. It integrates into over 2 billion active devices with technical demands associated with Apple’s performance and privacy requirements.
Changes after ChatGPT integration
The timing is questionable. Apple announced ChatGPT integration about a year ago, allowing Siri to leverage chatbots for complex queries. Although the company now states that “there were no significant changes to the ChatGPT integration at that time,” the competitive dynamics have clearly changed.
OpenAI’s response to Google’s Gemini 3 release in late 2025 (what was reported as a “code red” to accelerate development) suggests that competitive pressures were real. For businesses, this highlights an often underestimated risk when selecting a vendor. The pace of advancement in model capabilities varies widely from provider to provider, and today’s leaders may not be able to maintain their position over multiple years of implementation.
Apple’s choice of a multi-year agreement with Google rather than maintaining the flexibility of switching between providers suggests confidence in Google’s development trajectory. This is a bet on sustained R&D investment, continuous model improvement, and infrastructure expansion, the same factors that enterprise buyers need to evaluate beyond current benchmarks.
infrastructure issues
This agreement raises immediate concerns about concentration. Tesla CEO Elon Musk posted on social media, “Google also has Android and Chrome, so this seems like an unfair concentration of power.” This criticism reflects businesses’ legitimate concerns about vendor dependence.
Google is currently powering AI capabilities across both major mobile operating systems through a variety of mechanisms, including directly through Android and through this partnership on iOS. For companies deploying AI capabilities, relying on a single underlying model provider is tantamount to creating technical and commercial dependencies beyond immediate integration.
Therefore, Apple’s architectural approach is worth considering. The company emphasized that “Apple Intelligence will continue to run on Apple devices and private cloud computing while maintaining Apple’s industry-leading privacy standards.”
A hybrid deployment model (on-device processing for privacy-sensitive operations and cloud-based models for complex tasks) provides a template for enterprises to balance functionality and data governance requirements.
Market impact beyond mobile
The immediate impact of the deal was significant, with Alphabet’s market valuation exceeding US$4 trillion on Monday and its stock price rising 65% in 2024 on growing investor confidence in the company’s AI efforts. But the strategic implications extend beyond market capitalization.
Google has methodically built its position in the AI stack with frontier models, image and video generation, and now default integration into iOS devices. For enterprises, this vertical integration is important when evaluating cloud AI services. The capabilities of a provider’s foundational model are increasingly tied to the positioning of its broader infrastructure, tools, and ecosystem.
Apple’s setbacks on the AI front – slow upgrades to Siri, executive changes, lukewarm response to early generative AI tools – are instructive to look at from another angle. Even companies with vast resources and talent can struggle with running AI products. The decision to partner with Google, rather than continue development entirely on our own, recognizes the complexity and resource demands of frontier model development.
Relationship with search revenue
The deal with Gemini builds on an existing commercial relationship that generates tens of billions of dollars in annual revenue for Apple. Google pays to remain the default search engine on Apple devices. The deal is subject to regulatory scrutiny, but it sets a precedent for deep technology integration between the two companies.
Just as existing vendor relationships shape enterprise AI procurement, search contracts may have influenced negotiations surrounding the Gemini integration. These relationships can be advantages, such as established trust and proven integration capabilities, or they can be constraints that limit the evaluation of alternatives.
OpenAI questions
The deal puts OpenAI in an awkward position. ChatGPT is still available on Apple devices, but as an optional feature rather than an infrastructure layer. For a company that has established itself as a leader in AI, losing its default integration with Google represents a strategic setback.
Competitive dynamics remind us that the underlying model market remains fluid. Provider positions can change rapidly, and exclusive relationships between major players can reshape the options of other players. In a rapidly evolving market, maintaining options through abstraction layers, multi-model strategies, or portable architectures is more valuable.
what happens next
Google said the Gemini model will power “other future Apple Intelligence features” as well as an improved version of Siri coming later this year. As Apple builds out its AI capabilities, we expect the scope of integration to expand, create deeper technical dependencies, and increase the potential for partnerships.
Financial terms remain undisclosed, leaving questions about how Apple and Google will price deployments of this scale. Corporate buyers negotiating licenses for underlying models will be watching for any indication of how such deals will be priced at scale.
Apple’s decision doesn’t make Google’s Gemini the obvious choice for all businesses. But this deal provides verified evidence of what one highly selective technology company prioritized when evaluating its underlying models under stringent requirements. If enterprise AI buyers are conducting their own evaluations, this is a signal worth considering amidst the noise of vendor marketing and benchmarking leaderboards.
See also: Apple plans major updates to Siri with help from Google AI
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