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By allowing third-party AI assistants to integrate with Siri, Apple isn't just conceding its AI lag. This strategy aims to capture a share of AI subscription revenue through the App Store and preemptively address antitrust concerns, mirroring its approach with search engines in Safari.
Currently, Apple pays Google for search defaults. The hosts predict this will reverse for AI. As inference costs drop and monetization (via ads, affiliate fees, transactions) improves, LLM queries will become profitable on average, making access to Apple's users a revenue stream worth paying for.
By integrating Google's Gemini directly into Siri, Apple poses a significant threat to OpenAI. The move isn't primarily to sell more iPhones, but to commoditize the AI layer and siphon off daily queries from the ChatGPT app. This default, native integration could erode OpenAI's mobile user base without Apple needing to build its own model.
Apple's decision to integrate rival AI assistants into Siri is less about fixing its core performance and more about monetization. The strategy aims to funnel users toward purchasing third-party AI chatbot subscriptions through the App Store, allowing Apple to collect its commission rather than building a superior first-party competitor.
Apple is letting rivals like Google spend billions on building AI infrastructure. Apple's plan is to then license the winning large language models for cheap and integrate them into its massive ecosystem of 2.5 billion devices, leveraging its distribution power without the immense capital expenditure.
Apple's dominant hardware and App Store ecosystem allow it to generate over $1B in annual revenue from AI app fees. This strategy outsources the massive capex and R&D risk to AI labs like OpenAI, creating a high-margin business while they refine their own on-device AI plan.
Apple is avoiding massive capital expenditure on building its own LLMs. By partnering with a leader like Google for the underlying tech (e.g., Gemini for Siri), Apple can focus on its core strength: productizing and integrating technology into a superior user experience, which may be the more profitable long-term play.
In a major strategic move, Apple is white-labeling Google's Gemini model to power the upcoming, revamped Siri. Apple will pay Google for this underlying technology, a tacit admission that its in-house models are not yet competitive. This partnership aims to fix Siri's long-standing performance issues without publicly advertising its reliance on a competitor.
Instead of an exclusive AI partner, Apple could offer a choice of AI agents (OpenAI, Anthropic, etc.) on setup, similar to the EU's browser choice screen. This would create a competitive marketplace for AI assistants on billions of devices, driving significant investment and innovation across the industry.
Apple's partnership with Google for Siri was less about Google's technological superiority and more a strategic move to avoid empowering OpenAI, which is increasingly becoming a direct competitor in consumer hardware like smart glasses and audio devices. Giving OpenAI access to Apple's ecosystem would train a future rival.
By licensing Google's Gemini for Siri, Apple is strategically avoiding the capital-intensive foundation model war. This allows them to focus resources on their core strength: silicon and on-device AI. The long-term vision is a future where Apple dominates the "edge," interoperating with cloud AIs.