Ming-Chi Kuo: OpenAI Entering the Smartphone Hardware Arena

Introduction: AI Giant Crosses Into Hardware

A bombshell revelation from renowned Apple supply chain analyst Ming-Chi Kuo has sent shockwaves through the tech world. Kuo recently disclosed that OpenAI is actively advancing plans to develop its own smartphone and has already partnered with the world's two largest mobile chip giants — MediaTek and Qualcomm — to co-develop dedicated mobile processors, with mass production expected by 2028. This news signals that the company that rewrote the AI landscape with ChatGPT is officially extending its reach from software and cloud services into the consumer electronics hardware space, attempting to build a complete AI ecosystem spanning from chips to systems, and from cloud to edge.

The Core Question: Why Does OpenAI Want to Build a Phone?

According to information disclosed by Kuo, OpenAI's core motivation for entering smartphone hardware is crystal clear — "only by fully controlling the system and hardware can it deliver comprehensive AI Agent services." This assessment points directly at the key bottleneck in current AI application deployment: no matter how powerful a model's capabilities are, if it cannot deeply integrate with terminal hardware, the AI Agent experience will always be constrained by the limitations of third-party platforms.

Currently, OpenAI's core product ChatGPT primarily runs as an app and web service on Apple's iOS and Android systems. Although OpenAI previously reached a partnership with Apple to integrate ChatGPT into Siri, under this cooperative model, OpenAI can never access underlying operating system permissions, nor can it independently determine AI computing resource allocation at the hardware level. In other words, OpenAI is building AI Agents on someone else's turf, and the ceiling is obvious.

The decision to collaborate simultaneously with both MediaTek and Qualcomm also reflects OpenAI's strategic thinking. Qualcomm holds an absolute advantage in the high-end mobile chip market, with its Snapdragon series processors already widely equipped with NPUs (Neural Processing Units) and deep expertise in on-device AI inference. Meanwhile, MediaTek has risen rapidly in the mid-to-high-end market in recent years, with its Dimensity series chips delivering impressive AI performance and power efficiency while offering greater cost competitiveness. This dual-track strategy ensures technological diversity while leaving room for different product positioning in the future.

Analysis: The Hardware Battle of the AI Agent Era

Kuo's revelation actually exposes a profound transformation underway in the AI industry: the focal point of AI competition is shifting from "model capability" to "system-level experience," with hardware control becoming the decisive factor.

Looking back over the past two years, the concept of AI Agents has evolved from academic discussion to product implementation. A true AI Agent needs to be able to operate a phone on behalf of the user, invoke various applications, perceive environmental information, and make autonomous decisions. This requires AI to be more than just a "chat window" — it must be deeply embedded in the operating system kernel, with full scheduling capabilities over cameras, microphones, sensors, communication modules, and other hardware components.

In fact, OpenAI is not the first AI company to recognize this. Google has long built a vertically integrated system from hardware to AI models through its Pixel phone series and custom-designed Tensor chips. Apple, leveraging its proprietary M-series and A-series chips, has deeply embedded Apple Intelligence into the device experience. Samsung has also been aggressively advancing Galaxy AI features in its Galaxy series. The common strategy among these tech giants all points in one direction: control the hardware to define the AI experience.

For OpenAI, if it does not enter the hardware space, it faces an awkward predicament — possessing the world's most powerful AI models yet only being able to exist as a "supplier" parasitically on other manufacturers' hardware platforms. In the AI Agent era, the value of a platform far exceeds that of a single application, and OpenAI clearly does not want to place its fate in others' hands.

Additionally, building its own phone would help OpenAI explore entirely new business models. Currently, OpenAI's revenue relies primarily on API calls and subscription services, with limited profit margins and fierce competition. If it can launch hardware devices with native AI capabilities, it would not only open up hardware sales revenue but also generate sustained income through the AI service ecosystem on the device, creating a "hardware + services" flywheel effect.

Of course, challenges should not be overlooked. The smartphone industry is a highly mature and intensely competitive market, with supply chain management, mass production quality control, channel development, and after-sales service presenting levels of complexity far beyond software development. Previous experiences of new brands entering the phone market — such as Essential Phone and Nothing Phone — have already proven that even with celebrity founders and differentiated selling points, gaining a foothold in this market is far from easy. The 2028 mass production timeline also means OpenAI still has ample time to assemble a hardware team, refine the product, and build a supply chain.

Outlook: The AI Phone Landscape in 2028

If Kuo's predictions prove accurate, by the time OpenAI's phone enters mass production in 2028, the degree of AI integration across the entire smartphone industry will far exceed today's levels. By then, on-device large model capabilities will have improved dramatically, AI Agents may have already become a standard feature of smartphones, and user demand for "AI-native devices" will be even more defined.

For MediaTek and Qualcomm, collaboration with OpenAI is undoubtedly a significant strategic opportunity. Customizing processors for the world's most influential AI company would not only bring direct commercial returns but also provide cutting-edge insights into AI chip design philosophy, feeding back into their respective product roadmaps.

For the industry as a whole, the signal sent by OpenAI building a phone carries more significance than the product itself. It heralds that the boundaries between AI companies and hardware manufacturers are blurring. The future competitive landscape will no longer be one of "model makers stick to models, hardware makers stick to hardware" — instead, whoever can first achieve full-stack integration from chips to models, from edge to cloud, will dominate the AI Agent era.

From ChatGPT to a self-developed smartphone, OpenAI's ambitions have far exceeded the scope of an AI laboratory. In 2028, we may witness the birth of a phone truly defined by AI — and this could rewrite the rules of the smartphone game.