TL;DR
OpenAI is developing a smartphone where AI agents replace apps, with Qualcomm and MediaTek co-designing the custom processor and Luxshare manufacturing exclusively, according to Ming-Chi Kuo. The analyst projects between 300 and 400 million annual shipments, with the goal of mass production in 2028. Qualcomm rose 13% according to the report. The supply chain is credible, Luxshare makes AirPods, Qualcomm powers 75% of the Galaxy S26, but OpenAI has never shipped hardware and all previous AI devices (Humane Pin, Rabbit R1) have failed. This is OpenAI’s second hardware track alongside the Jony Ive project.
OpenAI is developing a smartphone built around AI agents rather than apps, with Qualcomm and MediaTek co-designing the custom processor and Luxshare Precision Industry exclusively co-designing and manufacturing the device, according to Ming-Chi Kuo, the TF International Securities analyst whose intelligence on Apple’s supply chain has made him the most followed hardware analyst in the industry. Kuo projects between 300 million and 400 million annual shipments if the device is successful, a figure that would exceed Apple’s iPhone volumes and put the phone in direct competition with the two companies that control about 40% of the global smartphone market. Specifications and supplier list are expected to be finalized by the end of 2026 or the first quarter of 2027, with mass production expected in 2028. According to the report, Qualcomm shares rose as much as 13% in pre-market trading. None of the three companies, Qualcomm, OpenAI or MediaTek, confirmed the partnership. This is an analyst report, not an announcement, but the supply chain Kuo describes is not speculative. It is the supply chain that already makes the devices you own.
the concept
The phone Kuo describes is not a smartphone with an AI assistant. It is a device where the AI agent is the interface and the application is deprecated. Instead of downloading apps and scrolling through screens, users would interact with agents who handle tasks directly: requesting transportation, making restaurant reservations, managing email, conducting research, writing messages. The architecture would process lighter tasks on the device, including context awareness, memory management, and smaller AI models, while offloading complex inferences to the cloud. The device would maintain what Kuo calls “full real-time state,” continually capturing a user’s location, activity, communication, and environmental context to feed to agents. This is the vision that Qualcomm CEO Cristiano Amon has been articulating throughout 2026: that AI agents will replace the mobile operating system and applications as the primary interaction layer, and that hardware must be designed from the ground up to support continuous, power-efficient AI inference rather than retrofitting existing chipsets with built-in neural processing units.
The concept is separate from OpenAI’s other hardware project with Jony Ive, the former Apple design chief whose company io is developing a non-phone device, supposedly a smart speaker with a camera first, then glasses, a lamp and headphones, with the first product expected in early 2027. OpenAI is pursuing two parallel hardware strategies: a device that reinvents the look of a personal computer without a screen and a device that maintains the phone form factor but replaces everything it runs on. him. Apple is testing smart glasses with AI with a custom chip, cameras and Siri powered by a Gemini model, looking to the year 2027. The question of whether AI lives in your phone, on your face or in a speaker on your counter is being answered simultaneously by all the major technology companies, each with a different bet. OpenAI is betting on all of them at the same time.
The supply chain
The credibility of the report depends on the supply chain, not the concept. Luxshare Precision Industry is a major Apple supplier that assembles AirPods, Apple Watch components, and a growing proportion of iPhones. Qualcomm’s Snapdragon 8 Elite Gen 5 powers 75% of Samsung’s Galaxy S26 series and, for the first time, has surpassed Apple in multi-core and raw GPU performance. MediaTek’s Dimensity 9500 matches Qualcomm and Apple in CPU performance at lower cost and better efficiency. These are not the providers of a concept phone. They are the phone providers that ship in the hundreds of millions. Qualcomm’s acquisition of Edge Impulsea cutting-edge AI development platform, in 2025 signaled the company’s strategic commitment to on-device AI inference across all device categories. The Snapdragon 8 Elite Gen 5’s Hexagon NPU offers 37% faster AI processing than its predecessor, supports agent AI that learns from user behavior, and includes a personal knowledge graph and continuous context awareness through an enhanced sensing center. Qualcomm is also reportedly creating custom 3D DRAM optimized specifically for AI workloads on mobile devices. The silicon for the phone that Kuo describes does not need to be invented. The components exist. The question is whether the software paradigm works.
The financial context matters. Qualcomm shares were trading at $149.84 ahead of the report, below a 52-week high of $205.95, with earnings growth falling 46.9% and gross margins falling as much as 55.1%. The company reports its results on April 29, two days after the Kuo report. In February, Bloomberg reported that Qualcomm gave a “tepid forecast indicating an unstable phone market.” A partnership with OpenAI would represent a new revenue stream in a market where Qualcomm’s traditional business, supplying modems and processors to phone makers, is under pressure from Apple’s efforts to develop its own modem chips and MediaTek’s encroachment into the premium Android segment. Qualcomm would help build a device designed to challenge the iPhone while continuing to supply Apple with modem chips until at least 2027, a business relationship that embodies the contradictions of the semiconductor supply chain.
the cemetery
The AI device category has produced more failures than products. The Humane AI Pin, a $699 wearable device with a laser projector that beamed information to the user’s palm, was permanently blocked on February 28, 2025, when HP acquired the remains of Humane for $116 million and shut down the servers. The Rabbit R1, a $199 “large action model” device, attracted 100,000 pre-orders but retained only 5,000 active users after five months, a 95% churn rate. Its founder admitted that the device was launched too soon. Both failed for the same reason: they created new form factors that solved no problem that the smartphone hadn’t already solved, at prices that required the user to carry a second device. The OpenAI phone takes a fundamentally different approach. It is not an additional device. It is a replacement for the device that 4.7 billion people already carry, with the same form factor, with the same basic capabilities, but with a radically different interaction model. Whether that’s enough to avoid the graveyard depends on whether agents can do what apps do, better, faster, and without the friction of learning a new paradigm.
AI is already reshaping the mobile app ecosystemwith “vibration-encoded” apps flooding the App Store in such volume that Apple has had to crack down on submissions. EU prepares to force Google to open Android to rival AI assistants including ChatGPT and Claude under the Digital Markets Act, which require equal access at the system level for voice activation and deep integration. The smartphone software layer is already in flux. Samsung’s Galaxy S26 runs a triple AI engine with Gemini, Perplexity and Bixby. Google’s Pixel 10 transfers multi-step tasks to AI agents in the background. Apple Intelligence processes queries on the device with an emphasis on privacy. All of the major phone makers are moving towards AI-based experiences, but they are all limited by compatibility with billions of existing apps and the operating systems that run them. The advantage of OpenAI, if the phone materializes, is that it has no legacy. You can design an interaction model from scratch without worrying about whether Instagram’s notification system works or whether the banking app renders correctly. The downside is that users may not want to start with a clean slate. They may want their apps and an AI assistant working around them, which is what Samsung, Google and Apple already offer.
the question
Kuo’s projection of 300 to 400 million annual shipments would make the OpenAI phone one of the most successful consumer electronics products in history. For context, Apple ships approximately 230 million iPhones a year. Samsung ships approximately 220 million Galaxy phones. A new entrant reaching those volumes is unprecedented in the smartphone era. The projection reflects the scale of OpenAI’s ambition, not a reasonable base case for a first-generation device from a company that has never made hardware, sold through carriers, managed warranty claims, or operated a consumer-scale supply chain. The Jony Ive device carries the same risk: a company whose expertise is in large language models trying to become a consumer electronics manufacturer, a transition that requires competencies in industrial design, supply chain management, retail distribution and after-sales service that OpenAI does not have and cannot acquire by hiring a designer, no matter how talented.
The 2028 timeline gives OpenAI two years to finalize specifications, secure component supply, develop manufacturing capacity, develop the agent-first software platform, negotiate partnerships with carriers, establish retail distribution, and convince hundreds of millions of consumers to abandon their iPhones and Galaxy phones for a device built by a company that has never shipped hardware. The Humane AI Pin took longer than that, shipping a device that lasted nine months before being permanently disabled. The ambition is extraordinary. The supply chain is credible. The concept addresses a genuine architectural limitation of current smartphones, which were designed around apps in 2007 and have not fundamentally changed since then. But the distance between a credible supply chain report and a shipping product that displaces the iPhone is the distance between a thesis and a business, and every company in the AI device graveyard had a thesis, too.
