Apple's ability to distill Google's large Gemini models into smaller, proprietary versions reveals a strategy to accelerate its own on-device AI development, not just rely on Google's tech. This gives Apple a 'cheat code' to catch up quickly and power its core vision for local AI on iPhones.

While tech giants' capital expenditures skyrocket to fund AI development, Apple's has declined. The company strategically sidesteps the costly race to build foundation models by partnering with Google. It will integrate Gemini into its products, letting Google bear the immense infrastructure and training costs.

By outsourcing core AI models to Google, Apple saves on R&D but loses deep expertise in the technology that will define future devices. This dependency could hinder its ability to create tightly integrated, next-generation hardware, which has historically been its primary competitive advantage.

While other tech giants are massively increasing capital expenditures to build AI data centers, Apple's CapEx is down. This reveals a deliberate strategy to avoid the high costs of training foundation models by integrating third-party AI, like Google's Gemini, into its products.

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 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.

Apple cannot simply license AI technology like it does with Google Search. To truly integrate AI into its core products and services, it needs to acquire a company like Perplexity. This is crucial for building internal expertise, as Apple is no longer the top destination for leading AI talent.

Apple is focusing its AI efforts on creating a seamless ecosystem of AI-powered hardware (iPhone, AirPods, glasses) that leverage models from partners like Google. Their competitive advantage lies in device integration and user experience, not competing in the costly model-training race.

Instead of bearing the massive capital expenditure of building foundational AI models, Apple is paying Google billions to use its Gemini technology as the underpinning for Siri. This mirrors its long-standing hardware strategy with Foxconn: let a partner handle the capital-intensive part of the process.