Apple has released the first public beta of iOS 27, and the most anticipated feature is the revamped Siri AI. After years of incremental updates, Apple finally shipped a version of Siri that can understand natural language, look at what’s on your screen, and pull information from across apps to perform complex tasks. But as with many ambitious software changes, the full experience is still a work in progress, and much depends on third-party developers.

What Siri AI can do now

Early testers report that Siri AI fundamentally changes the way they interact with their iPhones. Instead of opening an app, typing a search, or navigating menus, users can simply ask Siri a question or give a command, and it will try to figure out the best way to fulfill it. For example, asking “What order are the bands playing?” while looking at a concert webpage will cause Siri to search the page and the web to provide the answer. Asking “Add my WWDC briefings to my calendar” will scan emails, extract event details, and create calendar entries automatically.

This level of contextual understanding is a major leap forward. Previously, Siri could only work with Apple’s own apps in a limited way. Now it can access the content of web pages, emails, and on-screen information, and even perform actions like setting reminders or generating directions based on what’s displayed. Onscreen awareness is especially powerful: if you’re looking at a restaurant review, you can ask Siri to “remind me to make a reservation tomorrow” and it will create a reminder linked to that page.

Users have reported that Siri AI has already changed their habits. Swiping down to invoke Siri has become the default method for information retrieval, replacing the browser for many everyday queries. The feeling of asking a direct question and getting an instant, relevant answer without any app switching is described as “magical” when it works correctly.

The limitations become apparent quickly

However, the beta reveals several rough edges. Siri AI sometimes fails to understand the intent behind a request. For instance, saying “Remind me to buy these tickets when they go on sale” might simply create a reminder with that exact phrase, rather than actually monitoring the ticket sale. Users have to be careful with specific wording, using “this” to reference the current screen. Similarly, certain verbs like “route” and “direct” produce different results, highlighting that Siri AI still struggles with natural language variations.

Another significant limitation is that only Apple’s own apps are fully supported during the beta. Messages, Mail, Calendar, Reminders, and Notes work seamlessly, but third-party apps like Telegram, Gmail, or Spotify are not integrated. If your digital life relies on non-Apple services, Siri AI quickly runs into dead ends. This is by design: developers must add support for “entities” and “intents” so Siri can understand the data in their apps and perform actions within them. But that work cannot be completed until the final iOS 27 SDK ships later this year.

This creates a chicken-and-egg problem. Users may not see the value of Siri AI until their favorite apps support it, but developers may be hesitant to invest heavily until they see strong user adoption. Apple is betting that the convenience of a unified assistant will drive demand, but early feedback suggests the current experience is more of a demonstration than a fully functional tool.

The developer challenge: A massive undertaking

Developers have expressed excitement about the potential of Siri AI but also acknowledge the significant effort required. Each app needs to define what data it can expose (entities) and what actions it can perform (intents). For a simple app like a timer, this is trivial. But for a complex app like a social media platform or a project management tool, covering every screen and function is a massive engineering project.

Matthew Cassinelli, who worked on the Workflow app (which became Shortcuts), notes that the transition to agent-based models allows specialized apps to become more prominent. Users might not open a contacts history app every day, but if Siri can surface information from it when asked, the app becomes more valuable. This could help smaller developers gain visibility. However, larger companies like Google face a different incentive structure: allowing Siri to pull data from Gmail or Google Maps might reduce direct user engagement with those services, potentially affecting advertising revenue.

Google’s own AI Overviews in Search suggest that the company is already pivoting toward a world where answers are served directly rather than through a list of links. Whether Google will extend similar integration to Apple’s Siri remains uncertain. Consumer choice may be the ultimate driver—if one email app supports Siri AI fully and another does not, users may switch.

A glimpse at the future

Despite these current limitations, the iOS 27 public beta offers a compelling vision of what Siri could become. The underlying technology—natural language understanding, on-device semantic processing, and cross-app coordination—is solid. When Siri AI works, it feels like a true intelligent assistant that anticipates your needs rather than requiring you to adapt to its commands.

The Snow Leopard nature of this update (focusing on performance and refinement rather than new features) suggests Apple is laying the groundwork for a more capable Siri in future releases. The public beta is just the beginning; a full rollout in the fall will coincide with third-party app updates.

For now, users who rely heavily on Apple’s ecosystem will find the most value. If your emails, messages, and calendars are all in Apple apps, Siri AI can significantly streamline daily tasks. For others, the beta is a preview of what’s to come—and a reminder that AI assistants still need a cooperative software ecosystem to reach their potential.

Source:The Verge News