OpenAI teams with MediaTek and Qualcomm on custom chips for AI smartphone launching in 2028

Reviewed byNidhi Govil

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OpenAI is developing an AI smartphone with custom chips in collaboration with MediaTek, Qualcomm, and Luxshare, targeting mass production in 2028. The device will rely on AI agents replacing apps entirely, allowing OpenAI to bypass Apple and Google's app restrictions while gaining deeper access to user context and data.

OpenAI Plans AI Smartphone with Custom Chips

OpenAI is developing an AI smartphone in collaboration with MediaTek and Qualcomm, according to industry analyst Ming-Chi Kuo

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. The AI-first smartphone will feature custom chips designed specifically for AI workloads, with Luxshare serving as the exclusive co-design and manufacturing partner

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. This marks a significant shift from OpenAI's previous stance, as the company had long indicated it wasn't working on a phone

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Source: Digit

Source: Digit

The collaboration with MediaTek and Qualcomm allows OpenAI to bypass the time-consuming and expensive process of developing CPUs and GPUs from scratch

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. Instead, the custom AI-focused chip will prioritize AI silicon over raw horsepower, similar to Google's approach with its Tensor chips

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. Specifications and component suppliers are expected to be finalized by late 2026 or early Q1 2027, with mass production targeted for 2028

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AI Agents Replacing Apps for Deeper AI Integration

The AI-infused smartphone will rely on AI agents replacing apps to complete different tasks, fundamentally changing how users interact with mobile devices

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. Currently, Apple and Google control the app pipeline and restrict system access, limiting AI functionality. By creating its own hardware stack, OpenAI can move beyond app-based interfaces and enable deeper AI integration without restrictions

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Source: Wccftech

Source: Wccftech

Ming-Chi Kuo suggests the device will continuously understand user context, with all functionality handled by a single chatbot rather than individual apps

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. According to Kuo, "The phone needs to continuously understand the user's context. Power consumption, memory hierarchy management, and basic small-model execution will be key processor design considerations"

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. OpenAI plans to use a mixture of small on-device AI models and cloud models to handle different types of requests and tasks

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Strategic Move Against Apple and Google

With ChatGPT nearing a billion weekly users, a hardware product for daily use could help OpenAI reach more consumers

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. By offering the phone itself, the company could gain access to more data about users' habits than an app on the iPhone or Android device could

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Source: Benzinga

Source: Benzinga

The analyst believes OpenAI may bundle subscriptions with the phone and work with developers on building an AI agent ecosystem, using hardware to attract more service subscribers

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OpenAI's vision aligns with broader industry sentiment. Nothing CEO Carl Pei said at SXSW that apps will eventually go away

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. However, Perplexity CEO Aravind Srinivas recently argued that "the iPhone is actually not getting disrupted by AI at all," suggesting that as AI improves, the iPhone becomes even more valuable to users

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Hardware Ambitions Beyond Smartphones

This mobile chipset development comes after OpenAI confirmed a deal with Broadcom last year to develop custom AI-accelerator technology

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. OpenAI stated that "By designing its own chips and systems, OpenAI can embed what it's learned from developing frontier models and products directly into the hardware, unlocking new levels of capability and intelligence"

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OpenAI Chief Global Affairs Officer Chris Lehane said earlier this year that the company is on track to announce its first hardware product in the second half of 2026, with several reports indicating uniquely designed earbuds

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. The company is also working with former Apple design chief Jony Ive on AI-infused hardware devices, including a HomePod-type smart speaker with ChatGPT and built-in camera, plus smart glasses and a smart lamp

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. Building a smartphone from scratch remains challenging, requiring OpenAI to solve problems around hardware and AI integration, app support, and user adoption

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