Apple, which had previously struggled to make its mark in artificial intelligence (AI), is now aiming for a comeback through a partnership with Google. Analysts predict that by harnessing Google’s generative AI, Gemini, as Siri’s brain, Apple can significantly enhance its connectivity and address past limitations in simple command processing.
Industry insiders revealed on Sunday that Apple plans to upgrade Siri using Google’s Gemini and cloud technologies. The rollout is expected to begin with the iOS 26.4 update, anticipated this spring.
Siri, a cornerstone of the Apple ecosystem, helps users with tasks like answering questions, setting alarms, and controlling devices. However, in the current AI landscape, merely executing standalone commands falls short of expectations.
One of the most anticipated improvements for Siri, now powered by Gemini, is enhanced connectivity. Siri is expected to evolve, gaining the ability to comprehensively understand user requests, grasp conversation context, and provide concise summaries of needed information.
Moreover, Siri is projected to become a more sophisticated AI assistant, leveraging short-term memory to understand user preferences and keep track of ongoing tasks.
An Apple-focused magazine emphasized that Siri needs to be more cognitively adept, consistent, and human-like in task assistance. They suggested that integrating Gemini could revolutionize how users interact with their devices.
Tech publication Tom’s Guide noted that while Apple will likely emphasize on-device processing, robust AI capabilities often require cloud-level computing. They argued that the Google partnership could help Apple bridge this technological gap.
The Apple-Google collaboration signals a new phase in the AI arms race among tech giants, analysts say. As the competition intensifies, it’s becoming increasingly challenging for any single company to maintain dominance.
Tom’s Guide observed that big tech firms are no longer just developing AI; they’re now shaping how AI integrates into daily life by securing access to advanced model capabilities.
