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OpenAI Wants to Build a Phone, Going Further Than ByteDance's Doubao

📅 · 📁 Industry · 👁 10 views · ⏱️ 7 min read
💡 OpenAI is reportedly exploring a proprietary smartphone project. Unlike ByteDance's Doubao and other manufacturers experimenting with small AI hardware devices, OpenAI is choosing to jump straight into the smartphone arena, aiming to redefine the mobile experience from the ground up for the AI era.

Introduction: The Ultimate Ambition in the AI Hardware Race

While ByteDance's Doubao, Humane's AI Pin, Rabbit R1, and other products are still feeling their way through the small AI hardware space, OpenAI appears no longer content with incremental efforts. Recent reports from multiple sources indicate that OpenAI is seriously considering developing its own smartphone, attempting to start from the most critical mobile terminal to create a phone product that is truly AI-centric. The logic behind this move is clear — rather than testing the waters with peripheral hardware, why not go all in and build a phone directly.

Previously, OpenAI CEO Sam Altman had already entered into a deep collaboration with former Apple designer Jony Ive, and the hardware company they co-founded has secured significant funding. It now appears that this partnership may ultimately be pointing toward a revolutionary AI phone that breaks from traditional form factors.

The Core Question: Why Is OpenAI Choosing to Build a Phone Directly?

Looking back at the development of AI hardware over the past year or so, an awkward truth becomes hard to ignore: virtually every small AI hardware device has encountered the dilemma of earning praise but not sales. The Humane AI Pin saw its reputation collapse after launch, the Rabbit R1 was criticized as little more than a reskinned Android app, and even ByteDance's Doubao AI hardware products have largely remained in categories like smart speakers and AI learning devices, struggling to truly change users' core habits.

The common problem these products face is this: they attempt to build something entirely new outside the phone, yet cannot deliver a complete experience sufficient to replace it. Users still need to carry their phones when they go out, and small AI hardware is at best an accessory.

OpenAI has clearly identified this fundamental issue. Rather than making an accessory that depends on a phone to survive, it makes more sense to go straight for the phone itself. The smartphone is currently humanity's most frequently used computing device, with average daily usage exceeding six hours, covering virtually every life scenario including communication, social media, payments, and entertainment. If AI is to truly permeate users' daily lives, the phone is the ultimate and unavoidable vessel.

Analysis: OpenAI's Strengths and Challenges in Building a Phone

Strengths: Model Capabilities as a Moat

OpenAI's greatest advantage lies in its powerful AI model capabilities. The GPT series of models leads the industry in natural language understanding, multimodal interaction, and reasoning abilities. If these capabilities were deeply integrated at the phone's operating system level — rather than merely existing as an app — the user experience would undergo a qualitative leap.

Imagine a phone whose entire interaction logic is built around an AI Agent: you no longer need to switch back and forth between dozens of apps, as the AI can understand your intent and automatically perform cross-application operations; your phone proactively senses context and prepares information before you need it; photography, translation, writing, coding, and other functions are no longer standalone tools but natural extensions of AI capabilities.

Furthermore, Jony Ive's involvement provides top-tier assurance for the phone's industrial design. As the designer behind epoch-defining products such as the iMac, iPod, and iPhone, Ive has a profound understanding of how to make technology feel human. The combination of AI capabilities and world-class design opens up enormous possibilities.

Challenges: The Hard Battle of Supply Chain and Ecosystem

But building a phone has never been easy, and the challenges OpenAI faces should not be underestimated.

First is the supply chain issue. Phone manufacturing involves hundreds of core components including chips, displays, cameras, and baseband processors, requiring deep coordination with global supply chains. As an AI company, OpenAI has virtually no experience in hardware manufacturing, and building a mature supply chain management system in the short term would be extremely difficult.

Second is the app ecosystem issue. A smartphone's value is largely determined by the richness of its app ecosystem. After more than a decade of accumulation, Apple and Google have built massive ecosystems with millions of applications. If OpenAI launches an entirely new operating system, attracting developers to migrate would be a major challenge. Of course, if OpenAI chooses to deeply customize Android, this problem could be mitigated to some extent.

Finally, there is the pressure of market competition. Apple has already launched Apple Intelligence, Google has deeply integrated Gemini into Pixel phones and the Android system, and Samsung has partnered with Google to introduce Galaxy AI. Traditional phone giants are not sitting idle — they are rapidly embedding AI capabilities into their products. As a latecomer, OpenAI will need to deliver a sufficiently differentiated experience to convince consumers to buy in.

Outlook: The Curtain Is Rising on the AI Phone Era

Despite the formidable challenges, OpenAI's move to build a phone sends an important signal: competition in the AI industry is extending from the model layer to the device layer. Whoever controls the device users use most will hold the most advantageous position in the AI era.

From an industry trend perspective, the ultimate form of the AI phone may no longer be the familiar model of a screen plus a collection of apps, but rather an entirely new interaction paradigm centered on AI Agents. Under this paradigm, the phone is no longer an assembly of tools but a truly intelligent assistant that understands you.

Doubao and similar products chose to enter through small hardware as a cautious, exploratory strategy, while OpenAI's decision to build a phone directly is a far bolder gamble. The outcome of this bet may well determine the fundamental landscape of mobile computing for the next decade.

Regardless of the outcome, the curtain on the AI phone era has officially risen.