Apple is set to open its on‑device AI models to third‑party developers, providing an SDK at WWDC 2025. If you have been living under a rock, all you must know about Apple's WWDCs is that it is a week of Apple's tech prowess show every year. However, this year, everything is artificial intelligence. By allowing third party developers access to their native AIs, Apple is taking a bold step. This merger enables integration of local large language models for tasks like text rewriting, image generation, and notification summarization into iOS and macOS apps . Background Under a rigorous local-processing privacy policy, Apple Intelligence offers built-in LLM tools for developing upgrades and picture sandbox experiences. Until recently, SiriKit was the sole third-party access point, and it only supports predefined intents such as ride-sharing or messaging, not arbitrary AI duties. Apple's aim to capitalize on its local-only privacy edge, as well as growing developer demand for more advanced AI integration, led the move to an open SDK. Local AI Model Availability The upcoming SDK will reveal the smaller foundation models that enable on-device features such as Visual Intelligence, summarize, and rewrite. These models can be accessed by developers through straightforward APIs, which allow them to integrate AI functions directly into their applications without transferring user data off-device. Cloud Model Exclusion Cloud‑based LLMs, used for heavier compute tasks, will remain restricted to protect Apple’s end‑to‑end encryption framework and control compute costs. Future phases may open cloud hooks once billing and privacy protocols are established. Technical and Privacy Constraints On‑Device Performance Smartphones and laptops limit model complexity and reaction times by computing budgets. To lessen battery impact, developers have to maximize invocation patterns and control memory. AI Models Security and Data Protection All AI inferences are performed within Apple's secure enclave, ensuring that user data never leaves the device unencrypted. Moreover, data reduction policies limit usage logs and prevent illegal telemetry. Competitive and Ecosystem Implications By offering first‑class AI models integration, Apple differentiates iOS and macOS from more fragmented platforms. Such platforms are often those where hardware variability complicates uniform AI models and their experiences. Tighter privacy controls may attract developers concerned about third‑party cloud dependencies, echoing moves by competitors such as Google’s Gemini Nano APIs . Early interest from prominent app makers suggests rapid SDK uptake, with potential for new AI‑powered categories, like advanced photo editors and intelligent writing assistants. Apple’s incremental openness aligns with its history of maturing core technologies after initial guarding, as seen with SwiftUI and ARKit. Next Steps and WWDC Preview Apple will demonstrate the SDK and sample AI models integrations on June 9 at WWDC 2025. Also, developer betas of iOS 19 and macOS 16 will include the AI framework and documentation, with community feedback and bug bounties guiding refinements before a public rollout in late 2025.