With the rollout of iOS 26, developers are actively integrating Apple's local AI models into their applications. This integration is facilitated by Apple's Foundation Models framework, introduced at WWDC 2025, which grants developers access to on-device AI capabilities. Unlike cloud-based AI solutions, Apple's local AI models operate offline, eliminating inference costs and bolstering user privacy.
These local AI models are designed to enhance existing app functionalities rather than overhaul core workflows. Developers are leveraging these models to introduce features such as AI-powered story generation, intelligent emoji suggestions, insightful financial analysis, and automated task tagging. The focus is on delivering quality-of-life improvements that are both subtle and impactful.
Apple's approach with local AI prioritises user privacy by ensuring sensitive data remains on the device. Furthermore, the absence of inference costs makes AI accessible to a broader range of developers, fostering innovation across the app ecosystem. This strategy positions Apple's AI as a tool for enhancing user experience and promoting developer accessibility, rather than directly competing with large-scale AI models.
