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Ming-Chi Kuo: OpenAI Partners with MediaTek and Luxshare for AI Phone, Targeting 2028 Mass Productio

Ming-Chi Kuo: OpenAI Partners with MediaTek and Luxshare for AI Phone, Targeting 2028 Mass Productio

TraderKnowsTraderKnows
04-27
Summary:Analyst Ming-Chi Kuo reports OpenAI is developing an AI phone processor with MediaTek and Qualcomm, with Luxshare as the exclusive manufacturer. Mass production by 2028 aims to redefine smartphones with AI agents.
  • Renowned tech industry analyst Ming-Chi Kuo's latest supply chain research report indicates that OpenAI is collaborating with MediaTek (2454:TT) and Qualcomm (QCOM:US) to jointly develop exclusive smartphone System on Chips (SoC). Luxshare Precision (002475:CH) has been designated as the sole partner for system co-design and contract manufacturing, with mass production expected by 2028.
  • In response to this potentially disruptive industry chain restructuring, Luxshare Precision experienced a significant 8.88% surge in early trading today. This reflects that quantitative funds and long-only institutions are preemptively adjusting evaluations and building positions for the next generation of AI-native terminal manufacturing landscape.
  • Trading platforms anticipate that if OpenAI initially targets the global high-end smartphone replacement demand of around 300 to 400 million units annually, this would constitute the largest underlying hardware capital expenditure cycle since the proliferation of smartphones, and thoroughly disrupt the current app-based mobile internet monetization logic.

Foundational Reconstruction of Computing Power Terminals

The fundamental logic of the smartphone industry chain is undergoing a top-down rewrite. OpenAI's transition from a large language model (LLM) software provider to the architect of fundamental hardware design and operating system (OS) highlights that the purely software application layer can no longer satisfy the millisecond-level throughput demands for user state data of real-time AI agents. Market analysis suggests that only by mastering system-level control at the physical device level can continuous environment perception and lossless multimodal data input be achieved. This strategic shift will compel capital markets to reassess the future price-earnings ratios of traditional hardware manufacturers. Foundries that can deeply integrate into AI native system definitions will see their valuation models shift from traditional assembly processing fees (BOM cost markup) to ecosystem premium. In the power and performance game, endpoint models require extremely high memory bandwidth support, demanding a complete overhaul of hardware fundamentals in new-generation devices.

Physical Evolution of Edge Computing and Cloud Collaboration

AI agent-based smart terminals pose unprecedented engineering challenges for mobile processor power management and memory hierarchy. Phones need to continuously understand users' multimodal texts and environmental context, requiring SoCs to maintain the regular operation of small models with tens of billions of parameters at ultra-low power consumption. The selection of MediaTek and Qualcomm as chip partners highlights OpenAI's need for their extensive expertise in baseband technology and ultra-low power microarchitecture design. According to industry comparisons, the revenue potential of a single high-performance AI custom chip is roughly equivalent to that of 30 to 40 traditional phone processors' output, offering upstream chip designers a highly flexible profit expansion opportunity. Complex logical inference and generation tasks will be offloaded to the cloud for execution via a high-bandwidth network, forming an integrated dynamic computing power scheduling network between the edge and the cloud.

Marginal Expansion of the Subscription-Based Business Model

For commercialization and profit-making, OpenAI is likely to disrupt the smartphone industry's long-reliance on one-time hardware sales and app store commissions (like the 30% platform channel fee). Institutional investors predict these devices are very likely to adopt a subscription model bundling hardware cost-priced sales with advanced AI inference services. Once this recurring revenue mechanism establishes a user base of tens of millions in the high-end market, it will provide OpenAI with highly predictable cash flow, thereby supporting continuous capital expenditure on underlying computing power clusters. Simultaneously, the new AI agent ecosystem will give rise to a developer network distinct from current iOS or Android, reshaping the global mobile internet traffic distribution mechanism through intent recognition plugins replacing traditional standalone apps.

Historic Shift in Supply Chain Power Dynamics

Luxshare Precision has secured a strategically significant position in this industry chain restructuring. Within the traditional Apple (AAPL:US) contract manufacturing system, breaking through the assembly share posed extremely high barriers and profits were constrained by the brand's strict controls. However, by becoming the exclusive system co-design and manufacturing (JDM) partner for OpenAI devices, Luxshare Precision not only gains core influence in the next-generation terminal devices but also makes substantial inroads at the early definition stage of fundamental hardware architecture. If this transition from simple assembly to joint development mode is successfully realized by the specification lock-in phase between late 2026 and the first quarter of 2027, it will significantly enhance its visibility of future orders and potentially reshape the competitive standings of the electronic manufacturing services (EMS) industry in East Asia and globally.

Risk Warning and Disclaimer

The market carries risks, and investment should be cautious. This article does not constitute personal investment advice and has not taken into account individual users' specific investment goals, financial situations, or needs. Users should consider whether any opinions, viewpoints, or conclusions in this article are suitable for their particular circumstances. Investing based on this is at one's own responsibility.

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