New supply chain details from analyst Ming-Chi Kuo indicate that OpenAI is working on a smartphone built around AI agents rather than traditional apps. The report outlines cooperation with MediaTek, Qualcomm, and Luxshare for chipset development and manufacturing.
Kuo states that OpenAI aims for mass production in 2028, while it may finalize specifications and supplier selection by late 2026 or early 2027.
The disclosure arrives alongside strong market reaction. Google Finance shows Qualcomm shares rose intraday after the report, briefly reversing earlier losses for the year before moderating later in the trading session.
AI agent model replaces traditional app structure
The core idea described in Kuo’s note removes the app-based smartphone model. Instead of users navigating multiple applications, the device would rely on AI agents that execute tasks directly.
The shift in user behavior is task-oriented rather than app-oriented. The phone processes requests through an integrated AI system rather than requiring users to open individual apps for each function.
This design challenges the current control structure of mobile ecosystems. Apple and Google currently regulate app distribution and system-level permissions, which limits deep integration for external AI systems.
Kuo writes:
“Only by fully controlling both the operating system and hardware can OpenAI deliver a comprehensive AI agent service.”
Custom chips and supply chain partnerships
The report outlines a custom processor strategy involving MediaTek and Qualcomm. Both companies would co-develop smartphone chips designed specifically for AI inference workloads and continuous context processing.
Luxshare is expected to act as a system co-design and manufacturing partner. The company already operates within Apple’s supply chain, but the OpenAI project positions it in a more central production role.
Chip specifications and supplier allocation may be finalized by late 2026 or early 2027. This timeline sets the groundwork for a multi-year development cycle before mass production.
Hardware strategy depends on real-time user context
The proposed device relies on continuous user context awareness. The system would track real-time inputs such as location, activity, and usage patterns to improve AI responses.
Kuo highlights a hybrid computing approach. Smaller AI models would run directly on the device for low-power tasks, while more complex operations would shift to cloud-based systems.
This structure requires processor designs that balance power consumption, memory hierarchy, and on-device inference capabilities. The architecture differs from standard smartphone chipsets, which prioritize general-purpose performance.
OpenAI expands hardware ambitions beyond phones
The smartphone project sits within a broader hardware roadmap tied to OpenAI’s consumer expansion strategy. Earlier reports linked the company to a separate hardware initiative following its acquisition of Jony Ive’s startup, io, in 2025. That project focuses on non-phone devices, including wearables, with early products expected in 2026.
The phone concept differs in scope by targeting full system control over both hardware and operating system layers. This approach aims to integrate AI services directly into the core device experience rather than layering them over existing platforms.
Market structure and ecosystem implications
Kuo suggests OpenAI may combine hardware sales with subscription-based AI services. This model could extend ChatGPT’s user base, which already reaches close to a billion weekly users, into dedicated hardware usage.
The report also indicates that smartphone hardware remains one of the largest global device markets, with annual shipments estimated at 300 to 400 million units in the high-end segment alone.
MediaTek and Qualcomm could benefit from long-term chip demand under this model. Luxshare may also gain a larger manufacturing role compared to its current position in established supply chains.
Industry context and prior attempts at AI-first devices
The concept of AI-first hardware has seen mixed outcomes in recent years. Several standalone AI devices failed to gain traction in consumer markets, highlighting the difficulty of replacing established smartphone ecosystems.
OpenAI’s reported strategy differs from earlier attempts by focusing on full-stack control, including chipset design, operating system integration, and cloud infrastructure alignment.
Unconfirmed project continues long development path
No official confirmation has been issued by OpenAI or its reported partners. The timeline extends across multiple years, with key milestones set for 2026 to 2028.
If the reported plan progresses as outlined, the device would represent a structural shift in how smartphones operate, moving from application-based interaction to AI-driven task execution.
The next phase depends on supplier finalization, governance decisions, and technical validation of a system that combines on-device intelligence with cloud-based inference at scale.
Roman Zaika
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