Apple Launches CoreAI Framework for On-Device LLM Execution

Apple introduced CoreAI at WWDC 2026, a new framework that enables developers to run large language models directly on Apple Silicon. By shifting processing from the cloud to the device, the technology removes per-token fees and cloud costs while ensuring user data does not leave the hardware.

The framework targets applications that require low latency, offline functionality, or high levels of privacy. While CoreAI simplifies the implementation of on-device AI, industry experts caution developers against adding AI features driven by investor demands or competitor pressure rather than genuine user needs.

Data indicates that retrofitting AI into existing software architectures can cost twice as much as building with AI from the start. Additionally, user skepticism persists regarding the accuracy of AI outputs and the security of personal data.