OpenAI reportedly developing its own ChatGPT phone with production expected by 2027
OpenAI might be about to make a move few people saw coming: jumping headfirst into the hardware market with its own phone. Yeah, you read that right. The company known worldwide for ChatGPT is reportedly fast-tracking the development of a smartphone with artificial intelligence at its core, according to supply chain analyst Ming-Chi Kuo, originally reported by MacRumors.
If the project goes as planned, mass production could kick off as early as 2027 — and expectations are pretty high.
The first hardware product from OpenAI might not be that mysterious gadget developed in partnership with Jony Ive, the legendary designer behind Apple’s iconic products. It could be something much more straightforward:
- A phone designed to run real AI directly on the device itself
- With a custom chip based on the MediaTek Dimensity 9600
- And a dual NPU architecture built from the ground up for simultaneous language and vision tasks
The idea might sound bold for a company that has lived entirely in the software world until now. But the technical details that have started to leak show this is far from being just a rumor thrown out there. 👀
What we know about the OpenAI phone hardware
According to Ming-Chi Kuo, one of the most respected analysts when it comes to the tech supply chain, OpenAI is in full acceleration mode — the term he used was fast-tracking — to build a mobile device that would position ChatGPT and the entire artificial intelligence infrastructure behind it directly inside a physical device. Not as an app installed on some random iPhone or Android, but as the central nervous system of the device.
The idea is for the phone to be built from the inside out with AI as the absolute priority, not as a feature tacked on afterward.
The custom chip based on the Dimensity 9600
The big technical differentiator would be the processor. According to Kuo, the device will run on a custom version of the MediaTek Dimensity 9600, a chipset expected to launch in the second half of 2026. This processor is the successor to the Dimensity 9500, which already powers high-performance devices like the Vivo X300 Pro and the Oppo Find X9 Pro.
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But OpenAI won’t just use the off-the-shelf chip. The custom version will feature an upgraded image signal processor (ISP) with enhanced HDR as its main specification. According to Kuo, this improvement will significantly expand the phone’s real-world visual perception capabilities. In practical terms, that means the camera won’t just be there to take pretty photos — it will serve as the eyes of the artificial intelligence, capable of interpreting scenes, objects, and visual contexts with much greater precision.
Memory, storage, and the dual NPU architecture
Beyond the chip, other components reinforce the idea that this phone is being designed to be a portable AI machine. The device may include:
- LPDDR6 memory — the next generation of RAM for mobile devices, offering transfer speeds far above current standards
- UFS 5.0 storage — the fastest flash storage standard for smartphones, essential for loading AI models locally without bottlenecks
- Dual NPU architecture — perhaps the most interesting detail of all
This dual NPU architecture (Neural Processing Unit) is particularly relevant because it would allow the phone to run different types of artificial intelligence computation at the same time. For example, the device could process natural language tasks on one NPU while the other handles computer vision, all simultaneously and without competing for resources. This would significantly change the usage dynamic, because it would mean the AI model could operate locally on the device with much lower latency — something current smartphones still can’t do satisfactorily with models as large and complex as ChatGPT.
Ambitious sales targets: 30 million units
Another piece of data that drew plenty of attention in Kuo’s report was the sales projection. According to the analyst, combined shipments for 2027 and 2028 could reach around 30 million units. To put that number in perspective, that figure is comparable to sales of a typical Samsung flagship, like the Galaxy S lineup.
It’s an extremely ambitious target for the first hardware product from a company that has never manufactured anything physical before. Samsung, Apple, and the major Chinese manufacturers spent decades building the production, distribution, and after-sales support infrastructure that sustains volumes like that. OpenAI would have to put all of that together practically from scratch or, more likely, form strategic partnerships with established manufacturers to make the operation viable.
Still, the fact that these projections are circulating among supply chain analysts indicates that concrete conversations with suppliers are already happening. When numbers like these show up in reports from someone like Kuo, it means the supply chain has already started moving.
Why OpenAI wants to move beyond software and into hardware now
This is perhaps the most important question in this entire story. OpenAI has ChatGPT, it has the GPT-4o models and the advanced reasoning of o3, it has partnerships with Microsoft, Apple, and dozens of other companies. Why risk billions of dollars in a hardware market dominated by giants operating on razor-thin margins?
The answer lies precisely in the dependency that creates. As long as OpenAI relies on other devices to reach the end user, it is always at the mercy of decisions it doesn’t control: app store policies, API limitations, operating system restrictions, and most importantly, the user experience layer that sits in the hands of third parties.
Having its own phone solves that problem in an elegant and direct way. With hardware and software integrated under the same roof, OpenAI would have full control over how users interact with artificial intelligence, from the moment they turn on the device to how the model responds to voice, vision, and text commands. That deep integration is exactly what made Apple so powerful over the years, and OpenAI has clearly studied that playbook closely.
It’s no coincidence that Jony Ive’s name keeps coming up in conversations about the company’s hardware projects. The user-centered design philosophy he developed at Apple is exactly the kind of approach that would make sense for a product like this. Even if the phone isn’t the mysterious gadget attributed to Ive, the influence of that partnership certainly permeates the project’s design decisions.
The long-term economic factor
There’s also the financial side of the equation, which can’t be ignored. Language models like ChatGPT are extremely expensive to run at scale because they depend on massive server infrastructure. If part of that processing can migrate to the user’s device, with dedicated chips doing the work locally, OpenAI would significantly reduce its operational costs over time.
And the benefit would be twofold: beyond the savings for the company, users would get a faster and more private experience, since less data would need to travel through the cloud for the AI to work. It’s a move that makes sense from both a strategic and financial standpoint, and it seems like the company’s leadership sees that clearly.
What to expect by 2027 and the competitive landscape
The timeline outlined by Ming-Chi Kuo places the start of mass production at the beginning of 2027, which means there’s still a good stretch of time before more concrete details start surfacing. But the fact that an analyst with Kuo’s track record of accuracy is talking about this already indicates that the project has moved past the idea phase and entered a real operational planning stage.
Typically, when supply chains start moving, the signals reach analysts like him six to eighteen months in advance, which fits perfectly with the timeline mentioned.
How ChatGPT would work inside a dedicated phone
From an artificial intelligence standpoint, what matters most here is understanding how ChatGPT would evolve inside a device like this. Today, the model works primarily as a text and voice interface accessed through an app or browser. In an OpenAI-built phone, it could integrate with the camera, sensors, location, and other device data in a much deeper way.
Imagine an assistant that truly understands the user’s context in real time, without needing explicit commands all the time. One that recognizes what you’re looking at through the camera and instantly offers relevant information. One that adapts its behavior based on the environment and the situation. That’s a massive qualitative leap from what exists today, and it’s exactly the kind of experience that more advanced AI users have been waiting for.
The race for artificial intelligence hardware
It’s worth remembering that the race for control of artificial intelligence hardware is already playing out on multiple fronts. Apple is integrating Apple Intelligence into its devices in increasingly deeper ways. Google has Gemini baked into Android and the Pixel lineup with dedicated Tensor chips. Meta is experimenting with smart glasses and wearable devices in partnership with Ray-Ban. And Samsung has been betting heavily on Galaxy AI features integrated into One UI.
OpenAI entering this race with a dedicated phone wouldn’t just be another product on the market. It would be a statement that the company wants to be the central artificial intelligence layer in people’s lives, not just another service accessed from within an ecosystem that belongs to someone else.
And depending on how the product is executed, that could change the game significantly. The custom MediaTek processor, the dual NPU architecture, the ISP with enhanced HDR for visual perception — everything points to a device that doesn’t want to compete with the iPhone on social media photography or with the Galaxy on gorgeous displays. It wants to compete in an entirely new category: devices built natively for artificial intelligence.
The coming months should bring more details about manufacturing partnerships, potential pricing, and launch markets. What we can already say is that 2027 is shaping up to be a pretty eventful year for anyone following the intersection of AI and hardware. 🚀
