The Cupertino giant is preparing a significant revolution for its mobile devices, with concrete plans to convert the traditional virtual assistant Siri into a true chatbot during the launch of iOS 27. According to information obtained by analyst Mark Gurman, from Bloomberg, this long-awaited structural reformulation will be the great asset of the next generation of software, replacing the initial arrival forecast that was scheduled for the iOS 18.4 cycle. In addition to the changes in smartphones, the wearable ecosystem will also undergo renovations, as watchOS 27, internally codenamed “Orchid”, will incorporate modular dials inspired by the aesthetics of the Apple Watch Ultra, democratizing the premium look for the more affordable versions of the smartwatch line.
Handled behind the scenes at the company under the nickname “Rave”, the new operating system for iPhones will have artificial intelligence as its backbone, marking the manufacturer’s definitive response to the growing demand for advanced automation. Core native apps like Photo Gallery and the Camera utility will be getting a store shower with machine learning-powered editing tools. In return for these functional innovations, the engineering team decided that the graphical user interface will remain practically intact, without the drastic changes seen in past generations, placing code stability and the fluidity of daily use as the absolute goals of this development cycle.
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Major Siri interface changes to compete with ChatGPT
To go head to head with market giants such as Gemini, Claude and OpenAI itself, Apple’s assistant will no longer be just a voice resource superimposed on the screen but will become an autonomous and robust application. The hollow design points to a minimalist usage environment, characterized by an elegant dark background, dynamic text boxes for typing questions and native support for sending file attachments. The entire interaction will follow a message chain logic, creating a visual history identical to that of modern messengers, which will allow consumers to request several complex tasks in a single text or voice command, drastically optimizing response time.
Learn more: IOS 27 system releases unprecedented personalization with artificial intelligence for iPhone screens
With this profound restructuring, the virtual assistance tool will operate through multiple operating profiles, instantly adapting to the context of the user’s request:
- Continuous conversation format, keeping the context of previous questions in the same line of reasoning.
- Advanced visual reading, using the device’s lenses to interpret the environment in real time.
- Intelligent nutritional analysis, capable of scanning supermarket labels to detail ingredients.
- Corporate data capture, extracting names and telephone numbers from physical business cards directly into the calendar.
- Simultaneous processing of orders, executing varied actions from a single typed paragraph.
New visual customization options arrive on watches with watchOS 27
In the world of wrist accessories, the software update promises to democratize features that were previously restricted to very high-income audiences. The long-awaited modular panel will have its roots in the acclaimed “Modular Ultra”, but will undergo careful adaptation to run perfectly in conventional editions, such as the future Apple Watch Series 11. The architecture of this design highlights an imposing digital clock that dominates around two thirds of the OLED display, reserving the lower portion of the screen to align three quick application shortcuts, known in the ecosystem as complications.
To ensure the interface doesn’t look cluttered on the slightly smaller screens of the standard models, the design team opted for a cleaner approach compared to the original Ultra version. The indicators that were on the extreme edges were removed, as well as the widgets positioned at the top and center of the dial, delivering a direct and distraction-free visual experience. If the rumors are confirmed at the launch event, this will be the first time in years that the manufacturer has released such a flexible shortcut customization structure for watches that do not belong to the titanium category.
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Photo editing tools receive injection of machine learning
Visual memory management will also undergo a quiet but extremely powerful transformation thanks to new algorithms built into the Photos app. The iPhone’s native gallery will debut magic buttons for auto-enhance, fix lighting flaws, and intelligently reframe geometric composition. In practice, these additions mean that anyone can turn an average click into a professional-looking photograph in a matter of milliseconds, completely eliminating the need to master complex editing software or understand color curves.
At the same time, the software responsible for capturing images will gain an unprecedented layer of Visual Intelligence, working together with an exclusive Siri mode. When pointing your cell phone at a package of cookies, for example, the system will instantly read the nutritional table, calculating calories and crossing this data with the user’s Health application. This same optical character recognition technology will be responsible for digitizing important documents and saving professional contacts in an organic way, transforming the smartphone’s lens into a true cognitive scanner.
Why Apple chose to focus on system stability over design
Historically, the technology community always expects major aesthetic revolutions with each new software cycle, as occurred with the introduction of the controversial “Liquid Glass” look in iOS 26. However, the guideline for the twenty-seventh edition of the system is diametrically opposite, placing bug fixes, battery optimization and navigation fluidity at the top of the list of priorities. Journalist Mark Gurman emphasizes that consumers should not wait for new icons, typography or redesigned menus, demonstrating a conservative and mature software engineering stance to ensure that heavy new features work without hiccups.
This strategic direction perfectly illustrates the current situation of the Californian company, which seeks to consolidate its own vision of artificial intelligence, called Apple Intelligence, without breaking the trust of its loyal customer base. By embedding generative capabilities deep into the innards of the apps people already use every day, the company demonstrates that its long-term focus is not on creating fleeting visual gimmicks, but rather on delivering practical utility, data security, and impeccable synchronization between all the devices that make up its vast technological ecosystem.