The Battle Has Shifted from Software to Silicon
For most of the AI boom, the competition was about software — better language models, faster reasoning, more capable chat interfaces. Apple played this game cautiously, building on-device intelligence while competitors raced to scale cloud compute.
That phase is ending. The next battleground is hardware: physical AI companion devices, purpose-built processors optimised for inference, and form factors designed from the ground up for always-on intelligence rather than retrofitted from smartphones.
OpenAI, partnering with former Apple design lead Jony Ive, has been publicly developing a dedicated AI hardware device. Apple, meanwhile, has been building toward devices with dedicated AI Neural Engines and ramping RAM specifically to run larger on-device models. The two companies are now on a collision course that has nothing to do with APIs or chat interfaces.
Why Apple Is Alarmed
Apple's moat has always been the integration of hardware and software — the belief that owning the full stack produces better products than any competitor who has to work with someone else's chips or operating system. It's why Apple Silicon crushed Intel in MacBook performance. It's why Apple Intelligence runs locally while competitors rely on cloud servers.
An OpenAI hardware device built by former Apple designers and engineers — people who understand precisely how Apple builds products, what trade-offs it makes, and where it leaves gaps — represents a genuinely different kind of threat. Not a slightly better chatbot. A device designed by people who know Apple's playbook.
The talent and IP protection angle isn't just legal posturing. It reflects a real concern: the institutional knowledge of how to build an exceptional AI-native hardware product is concentrated in a relatively small number of people, and many of them have worked at Apple.
🔮 The key question: Is the next decade of personal computing defined by the smartphone and its apps — Apple's territory — or by a new category of dedicated AI companion device that doesn't look like a phone at all? That's what both companies are betting on.
What This Means for Your iPhone and iPad
The AI hardware race has immediate and longer-term implications for device owners.
In the near term (2026–2027): Apple will continue using AI feature differentiation to accelerate the upgrade cycle. iPhone 18's 12GB RAM requirement for Apple Intelligence, iOS 27's on-device model improvements — these are all designed to make the case that your current device is insufficient. The legal and competitive pressure from OpenAI only accelerates this, since Apple needs to demonstrate its AI capabilities are worth the ecosystem lock-in.
The legacy device impact: Devices running iOS 15 and iOS 16 will see accelerating app compatibility pressure as developers build features that assume Apple Intelligence APIs — APIs that require A17 Pro or newer hardware. The gap between a well-supported iPhone 15 Pro and an iPhone 7 stuck on iOS 15 will widen faster than it would have in a pre-AI-competition landscape.
The wildcard — a non-phone AI device: If OpenAI's hardware device successfully creates a new category, Apple may respond with its own non-phone AI companion. This would actually be positive for legacy iPhone and iPad owners — it creates a path where your old iPhone remains useful as a phone and peripheral, while a new AI device handles intelligence tasks.
The Smartwatch Parallel
We've been here before. When Apple Watch launched in 2015, many assumed it would replace the smartphone. Instead, both coexisted — the phone became less of a constant companion (fewer glances, more ambient use) and the watch handled micro-interactions.
AI hardware will likely follow the same pattern. The iPhone won't disappear — but a purpose-built AI device could absorb the tasks that currently require a powerful, always-connected smartphone. That's actually the scenario most favourable to keeping older devices in use: if the AI work moves to a dedicated device, your iPhone 7 as a music player or camera remains useful far longer.
This is why tracking legacy device utility — what older hardware can still do well — becomes more interesting as the hardware market fragments. AppCompat exists precisely because the answer to 'is this old device still useful?' is rarely binary.
Our verdict
The Apple-OpenAI hardware competition is the most significant industry shift in years — and it cuts both ways for device owners. It accelerates obsolescence for iPhone owners who haven't upgraded in 4+ years, but it may also create a future where dedicated AI hardware absorbs the heavy lifting, letting legacy devices remain useful as focused-purpose tools for longer.
See what your current device can still do
Whatever iOS version you're on, check the full list of apps that still work — and make an informed decision about whether an upgrade is actually necessary.
Check your device's compatibility →Also see: MacBook Neo: the iPhone chip that ended up in a Mac · iPhone 18's 12GB RAM and what it means for 8GB devices · Apple overtakes Nvidia — the AI monetisation story