OpenAI just pulled apps into ChatGPT, promising a world where you can book travel, build a Spotify playlist, or tweak a design without bouncing between app icons and interfaces. Some see this as the dawn of an AI-native app platform and a direct challenge to the traditional app store model. But there’s a counterweight: Apple’s long-awaited reboot of Siri. If Apple’s approach lands, it could reassert the iPhone’s dominance while redefining how we use apps in an AI-first era.
The battle for the AI-native app platform
ChatGPT’s new app system positions the chatbot as a distribution channel with massive reach. Reports cite hundreds of millions of weekly active users and a new Apps SDK that lets developers plug directly into the ChatGPT experience. It’s a bold attempt to make conversational interfaces the new home screen.
Apple, however, starts from a different kind of strength. It already controls the hardware and operating system used by roughly 1.5 billion iPhone owners. Its vision doesn’t kill apps—it kills the need to hunt down an icon. Apple is betting that a smarter, more capable Siri will become the primary way people launch features, complete tasks, and move across apps with natural language. Think less tapping and more talking.
Why the old way feels old
The home screen grid of icons was a brilliant metaphor for the mobile era. But habits are changing. Many people now ask an AI assistant for a restaurant pick, a playlist, or a quick summary instead of opening a single-purpose app or sifting through a long list of search results. Voice requests to speakers or earbuds, chat queries for business info, and AI-generated answers are faster than navigating a dozen UIs that all work differently.
ChatGPT’s app model leans into that trend but keeps everything inside a chatbot-style interface. To use an app, you typically mention it by name at the start of your prompt or select a prompt button when it appears. Then you have to phrase the query correctly. Early tests suggest that if you get it wrong, you can get stuck waiting for a response that doesn’t arrive. It’s powerful, but it requires users to learn a new workflow.
The friction problem
There’s also setup friction. You must install each partner app, connect it to ChatGPT, grant permissions, authenticate with your credentials, and enter two-factor codes when required. After that one-time setup, the experience can feel smooth—ask for a playlist and open it in Spotify with a tap—but it still asks users to switch platforms for tasks they already know how to do natively.
Other limitations are worth noting:
– One-app-at-a-time interactions make it harder to compare options across services, like weighing hotel prices against an Airbnb.
– App branding and custom design largely disappear inside the chatbot, which some users may love for simplicity and others will miss for familiarity and advanced controls.
– For many tasks, the native mobile app still offers more flexibility and speed than a generalized chat UI.
In short, using apps in ChatGPT is undeniably cool, but “cool” alone may not be enough to pull people away from the default habits they’ve built over years on their phones.
Apple’s counterpunch: an AI-native Siri
At WWDC 2024, Apple previewed how apps could work in an AI-forward system guided by an upgraded Siri. The company emphasized the demo wasn’t smoke and mirrors and laid out a path where developers benefit without heavy lifting. For example, a note-taking app could automatically tap into proofreading or rewriting tools. Apps that already support SiriKit and Shortcuts can get new powers with little extra work.
Apple plans to prioritize categories where voice and text control make obvious sense: Notes, Media, Messaging, Payments, Restaurant Reservations, VoIP Calling, and Workouts, among others. If delivered as promised, Siri will be able to invoke anything exposed in an app’s menus using natural language. Ask to see presenter notes in your slides, and your productivity app responds. Tell Siri “FaceTime him” after reading a reminder about your grandpa’s birthday, and it connects the dots based on on-screen context.
Under the hood, Apple’s standard text systems will let Siri understand and act on what’s displayed without rigid prompt wording. The existing Intents framework is also being refreshed to tap into Apple Intelligence, broadening support to areas like books, browsers, cameras, document readers, file management, journals, mail, photos, presentations, and spreadsheets. The promise is app control that feels native, context-aware, and consistent across iPhone, iPad, and Mac.
Who wins: the chatbot or the OS?
The core question is whether the future of apps lives inside a single, centralized chatbot or inside the operating system that already orchestrates everything you do on your phone. ChatGPT has momentum and an expanding ecosystem of integrated apps. Apple has distribution, developer relationships, and the advantage of being built into every iPhone.
If Apple ships what it’s showing, users won’t need to learn a new interface or migrate accounts. They’ll keep the apps and muscle memory they already have—only now they can do far more with quick voice or text instructions. That’s a tough value proposition to beat, especially for everyday tasks where speed and reliability matter more than novelty.
The likely outcome is not a winner-take-all. Power users and early adopters may prefer the flexibility of ChatGPT’s app environment. Mainstream users may stick with the iPhone’s native approach, especially if Siri finally sheds its reputation for being slow and limited. The deciding factor will be execution: accuracy, latency, and how effortlessly each platform turns a vague request into the exact action a user intended.
The takeaway
– OpenAI is turning ChatGPT into a full-fledged app platform with a growing SDK and a massive user base.
– Apple’s counter is a system-wide, AI-native Siri that can act across apps with natural language, no icon hunting required.
– ChatGPT’s model is powerful but introduces friction around setup, app discovery, and multi-app workflows.
– Apple’s approach leans on deep OS integration, existing apps, and developer frameworks like SiriKit and Intents, potentially making AI control feel seamless and familiar.
We’re entering a new phase of mobile computing where you’ll talk to your phone more than you tap it. Whether that conversation happens inside ChatGPT or through a supercharged Siri will shape how we find, use, and even think about apps for years to come.Apple is quietly laying the groundwork for a smarter Siri that can actually get things done inside your favorite apps. From whiteboards to word processors and beyond, the company is building pre-defined, trained, and tested “Intents” and making them available to developers. In practice, that means you could say, “Hey Siri, apply a cinematic filter in Darkroom,” and watch it happen without digging through menus.
This push builds on the App Intents framework introduced in iOS 16, which many developers already use to plug their app’s actions and content into core iPhone experiences. Think Spotlight search, Siri, the Action button, widgets, controls, and visual search—not just Apple’s new AI initiatives. Siri will also be able to suggest relevant actions from your apps, helping people discover what’s possible and execute tasks faster.
Apple’s advantage is the complete stack. It runs the operating system on its own hardware, operates the App Store for discovery, and provides the developer tools, APIs, and frameworks that make deep integrations possible. On top of that, Apple can personalize recommendations using on-device and account-level signals while offering privacy controls that limit what information third-party apps can collect.
By contrast, OpenAI’s approach hinges on developer adoption of the Model Context Protocol (MCP), a newer method for connecting AI assistants to external services. It doesn’t work with all of your apps out of the box. For now, ChatGPT ties into a limited set of services like Booking.com, Expedia, Spotify, Figma, Coursera, Zillow, and Canva. MCP support is growing, but that ramp-up period could give Apple crucial time to close the gap with a native, system-level solution.
Reports indicate Apple’s upgraded Siri is nearing the finish line. Internally, employees are testing voice commands that trigger actions across a wide range of popular apps, including Uber, AllTrails, Threads, Temu, Amazon, YouTube, Facebook, and WhatsApp. The smarter Siri is said to be on track for release next year.
There’s also a hardware angle. The iPhone’s status as the go-to app platform isn’t easy to disrupt. OpenAI knows this, which is why it has explored building a device with Jony Ive to make AI feel more ever-present in everyday life. But always-on AI hardware faces real headwinds. Public pushback over privacy and social norms has already flared up, from viral ad campaigns to fan bases challenging celebrities for experimenting with AI. That skepticism makes the path to a successful standalone AI device uncertain.
For now, OpenAI’s model is essentially using its app to control other apps. If Apple nails the Siri upgrade, that intermediary may not be necessary. You’ll just ask for what you want—edit a photo, book a ride, start a trail route, or message a friend—and the iPhone will handle it natively, right where you already live your digital life.
