Apple restructures Google-powered Siri to compete directly with ChatGPT in iOS 27

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Apple IA

Apple IA - Below the Sky/shutterstock.com

Apple has consolidated a fundamental strategic shift for the future of its mobile devices by entering into a long-term technical partnership with Google, aimed at fully integrating the Gemini language model into the next iPhone operating system update. The movement, which will be materialized in the launch of iOS 27 scheduled for the second half of this year, has the main objective of transforming the virtual assistant Siri into a highly capable generative chatbot. The initiative marks an aggressive response by the Cupertino giant to the market dominance established by OpenAI and its ChatGPT, seeking to recover lost ground in the race for advanced artificial intelligence.

Software engineers from both companies have worked together over the past few months to adapt the Gemini architecture to the privacy and performance requirements of the Apple ecosystem. The new version of the assistant will not be limited to responding to simple commands or setting alarms, but will operate as a conversational agent capable of understanding nuances, retaining context from previous dialogs and performing complex tasks that involve multiple applications simultaneously.

Siri Apple – Kohiro K/shutterstock.com

The restructuring of Siri represents the largest investment in software by Apple in the last decade, driven by the need to offer native tools that eliminate the need for third-party applications for text generation and data analysis. With the update, the company expects the iPhone to go from being just a platform for accessing external AI to becoming a device with integrated intelligent processing, using a hybrid approach that combines the power of the cloud with local on-chip processing.

Sources linked to the development indicate that the beta version of the system already demonstrates logical reasoning capabilities superior to previous versions, allowing the virtual assistant to prepare meeting summaries, create travel schedules based on emails and interact fluidly with the calendar and maps without the need for robotic commands or pre-formatted phrases.

Deep integration and new features

Implementing the Gemini model in the core of iOS 27 will allow Siri to access layers of the operating system previously inaccessible to virtual assistants, ensuring unprecedented interoperability between native and third-party applications. The technology was designed to understand the user’s intent behind speech, overcoming the limitations of assistants based on rigid scripts.

Among the main features that will be introduced with the new architecture, significant advances in productivity and daily interaction stand out:

  • Maintenance of context in long conversations, allowing the user to ask sequential questions without having to repeat the subject or the initial theme.
  • Ability to analyze documents and images in real time to extract specific information and generate automatic summaries directly in the chat interface.
  • Generation of creative and technical content, such as writing corporate emails or code suggestions, adjusted to the tone of voice requested by the device owner.
  • Proactive integration with third-party applications via a dedicated API, allowing Siri to perform actions within delivery apps, banks or social networks.

This functional evolution takes Siri to a new level of usefulness, going from being just a voice interface to becoming a central control and creation hub. Apple is betting that the convenience of having generative AI deeply integrated into the hardware will be the decisive differentiator against solutions that only operate via browser or isolated applications.

Processing and privacy strategy

One of the central pillars of this new phase is the hybrid data processing approach, designed to balance the need for computing power with the brand’s historic commitment to user privacy. The simplest requests involving sensitive data will be processed directly on the device, taking advantage of the new neural engines in the iPhone line’s processors, ensuring that personal information does not leave the device.

For tasks that require greater reasoning capacity and access to vast databases, the system will use the Google cloud infrastructure, but with exclusive security protocols. Data sent to the cloud will be anonymized and encrypted, preventing commercial partners or third parties from using user interactions to train their own models or create advertising profiles.

Release schedule and expectations

The official presentation of the new Siri and the AI ​​capabilities of iOS 27 is scheduled for Worldwide Developers Conference (WWDC) 2026, where developers will have their first contact with the integration tools. Apple plans to release test versions shortly after the event, allowing for an extended period of refinement before the final public launch, which will accompany the arrival of the new iPhone models in September.

The technology market eagerly awaits the practical demonstration of these capabilities, as Apple maintained a low profile during the initial boom in generative AI. The partnership with Google, although surprising to some analysts due to the historical rivalry in operating systems, demonstrates the company’s pragmatism in seeking the best technology available to accelerate its delivery of value to the end consumer.

Impact on the application ecosystem

Transforming Siri into an advanced chatbot should significantly change the dynamics of App Store and the way developers create their applications. With the assistant capable of performing actions within apps, the traditional visual interface may lose relevance in favor of more natural voice and text commands, requiring rapid adaptation by the software creators community.

Mobile technology experts predict that the new Siri’s ease of use could increase users’ engagement with digital services, reducing friction between intention and action. Apple will provide strict guidelines to ensure that this integration occurs securely, maintaining the quality control that characterizes its closed ecosystem.