OpenAI may be working on its own smartphone. TF Securities analyst Ming Chi Kuo reports the device is already in active development, with mass production possibly starting in the first half of 2027.
OpenAI has not confirmed anything publicly, but Kuo’s supply chain sources suggest the company is moving fast to compete in the AI-first device space.
The push seems tied to the broader race around AI agent-driven hardware, where control of the device itself could matter as much as the software running on it.
OpenAI Smartphone: A New Direction in AI Hardware
From what’s been reported, this phone won’t try to compete with the iPhone or a flagship Android on traditional features. The focus is on what happens on the device itself, specifically running AI tasks locally without depending on the cloud for every interaction. The goal seems to be a device that understands context, takes action, and handles more on its own.
On the hardware side, MediaTek appears to be the leading candidate to supply the chip. The processor would likely be a custom version of a future Dimensity chip, built on TSMC’s next-generation manufacturing process.
That combination points to a design optimized for efficiency and speed, which makes sense if the device needs to run demanding AI workloads without draining the battery.
OpenAI Smartphone Built Around AI Workloads
What sets this device apart from a regular smartphone is what’s inside. The chip design reportedly includes two NPUs, which are processors built specifically for AI tasks. Having the two working together means the device can handle multiple AI processes at once without slowing down.
That translates to faster performance for things like understanding spoken language, recognizing what the camera sees, and responding to context in real time.
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The memory and storage specs are also built around AI workloads. LPDDR6 RAM and UFS 5.0 storage are both faster than what most current phones use, and that matters because AI tasks move large amounts of data quickly. Slower memory creates a bottleneck; these specs are meant to remove that problem.
The camera system gets an upgraded image signal processor, too. This improves how the phone handles high-contrast scenes, but more importantly, it helps AI features that depend on the camera to understand what they’re looking at.
The device is said to include pKVM and inline hashing, two technologies that protect the data being processed and keep the system from being tampered with. For a phone built around AI agents handling personal tasks, that kind of protection is not optional.
Why OpenAI Is Going Into AI Smartphones
The reason OpenAI is reportedly building its own phone comes down to control. When you rely on someone else’s hardware, you work within their limits. Building the device from scratch means OpenAI can design the full experience around how its AI actually works, not around what existing phones allow.
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The interaction model is also expected to change. Right now, you open apps to get things done. An AI-first phone shifts that toward telling the device what outcome you want and letting it figure out the steps. That’s a meaningful difference in how people use a phone day to day.
There’s another reason smartphones make sense for this strategy. Your phone knows where you are, what you’re doing, and how you behave over time. That continuous stream of real-world context is exactly what makes AI inference more accurate and useful.
On the production side, OpenAI is reportedly working with both MediaTek and Qualcomm on custom chips, with Luxshare handling manufacturing. Mass production is currently targeted for around 2028. The device will likely split the workload between on-device processing for fast, real-time tasks and cloud AI for heavier computation.
OpenAI already has a large user base, strong models, and consumer brand recognition. That puts it in a reasonable position to build an ecosystem around this hardware, possibly pairing the phone with a subscription service.
If the product lands well, it could push a new wave of smartphone upgrades built around AI as the central feature rather than an add-on.
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OpenAI moving into hardware signals a broader change in how AI companies think about their products. Software alone has limits. When you own the device, you control how fast things run, how data gets handled, and what the experience feels like end to end. That level of control is hard to achieve when you’re building on top of someone else’s platform.
The timing is worth paying attention to. A physical product adds weight to a company’s story, especially if OpenAI is working toward a future IPO.
Hardware shows investors and the market that the business is not dependent on a single revenue stream. It also puts OpenAI in direct competition with device makers, which raises its profile in a category that is only growing in importance.
What OpenAI Smartphone Means for Users and the Market
If this phone actually ships, it could define a new type of device. Not a smartphone with AI features added on top, but one where AI is the foundation around which everything else is built. That means the assistant does not wait for you to ask; it anticipates what you need based on what it already knows about your context.
It also means more tasks get handled on the device itself, without sending data to a server and waiting for a response.
For you as a consumer, that adds up to a few concrete things: faster responses, better privacy since less data leaves your device, and an experience that feels more connected to how you actually work and move through your day.
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For the broader industry, this is a signal. Google, Apple, and others are already investing in AI hardware. An OpenAI device entering the market pushes that competition further and forces every major player to sharpen their answer to the same question: what should an AI-native phone actually do for the person holding it?
What To Expects
If everything goes according to plan, production could start in late 2026, with around 30 million units expected to ship across 2027 and 2028. Those numbers are projections, not guarantees. A lot depends on how well OpenAI executes, whether its partnerships hold, and whether the market is ready for this kind of device when it arrives.
What the broader picture suggests is that the AI race is shifting. For the past few years, the competition has been about whose model is smarter or faster.
The next phase looks like it will also be about whose hardware runs those models best. Software matters, but a model that lives on your device, responds in real time, and works without a constant connection to the cloud is a different product entirely. That is the bet OpenAI appears to be making.
