Apple is deepening the integration of its on-device AI, branded as Apple Intelligence, across iPhone, iPad, and Mac devices [1].
This shift represents a strategic attempt to differentiate the Apple ecosystem through AI-driven interactions. However, the rollout reveals a growing divide between users with the latest hardware and those with older devices.
Presented during the Worldwide Developers Conference (WWDC) in June 2026 [2], the new AI capabilities are centered on a more capable Siri. The company said it aims to create seamless interactions that operate locally on the device to prioritize privacy and speed [1]. Despite the focus on a "renaissance" of AI, some developers have noted a significant omission in the software updates for iOS 27: the absence of Siri Extensions [3].
Without these extensions, third-party developers have limited ability to integrate their own apps directly into the AI's core functionality. This restriction may slow the adoption of the new system as it lacks the open flexibility found in competing AI ecosystems [3].
Hardware limitations also present a hurdle for the company's vision. The most advanced on-device AI features in iOS 27 require a minimum of eight GB of RAM for full performance [4]. Devices with less than eight GB of RAM will experience limited AI capability, effectively creating a hardware bottleneck for the software's most powerful tools [4].
Apple's strategy focuses on tightening the link between its proprietary chips and its software. By controlling both the silicon and the AI models, the company said it intends to optimize performance, though this approach currently leaves users of older gadgets behind [4].
“Devices with less than eight GB of RAM will experience limited AI capability.”
Apple is attempting to pivot from being a late adopter of generative AI to a leader in on-device processing. By tying the most advanced features to specific RAM requirements, the company is creating a strong incentive for hardware upgrades. However, the lack of Siri Extensions suggests a cautious, closed-garden approach to AI that may hinder the ecosystem's growth if developers cannot build deeply integrated experiences.
