GTHT: AI Edge Computing Holds Steady, Humanoid Robots Break New Ground – 3C Supply Chain Regains Growth Momentum

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According to a research report by Guotai Haitong Securities, the 3C supply chain is benefiting from both cyclical recovery in its own sector and accelerated penetration of AI edge computing. Additionally, the 3C supply chain aligns well with humanoid robots, as its specialized OEM model—spanning "components-modules-complete devices"—is expected to adapt to the mass production phase of humanoid robots. Investment opportunities arise as 3C supply chain companies venture into the humanoid robot sector.

The mass production of robots and the accelerated deployment of AI edge computing serve as key catalysts for the industry. Guotai Haitong Securities highlights the following insights:

1. **3C Supply Chain Embraces Humanoid Robots** Humanoid robots are still in their early developmental stage, but the rapid iteration and innovation in materials, processes, and structural design enable 3C OEMs to quickly integrate into the supply chain. Companies like Luxshare Precision and Lens Technology, leveraging their experience in module and complete device manufacturing, are focusing on module and assembly OEM for robots, with potential future expansion into upstream components. For instance, Luxshare Precision, a leading 3C OEM, is entering the market through complete device assembly and aims to establish a full industrial chain layout, including core components.

Meanwhile, firms such as Changying Precision, Goertek, and Opt are primarily targeting core components for humanoid robots. Changying Precision, with its expertise in precision manufacturing and capabilities in both metal and non-metal processing, is expanding into structural and transmission parts, having secured over 400 material codes. Automation equipment providers like Bozhon Precision and Keli Technology are focusing on production line equipment for humanoid robots.

Overall, the 3C supply chain is fully engaging in the humanoid robot sector. As humanoid robots advance rapidly toward mass production, the industry is expected to adopt a specialized OEM model—"components-modules-complete devices"—where the 3C supply chain retains strong competitive advantages.

2. **AI Edge Computing Accelerates, Injecting New Growth into 3C** The 3C sector, led by smartphones, is entering a recovery cycle, laying the foundation for growth. With continuous improvements in AI models, industry giants are accelerating AI edge computing deployment, creating new growth opportunities.

- Apple introduced its edge AI assistant, Apple Intelligence, in October 2024 and is optimizing it by integrating external high-quality models to enhance user experience, potentially driving a new upgrade cycle for its vast product ecosystem. - Google, leveraging its strong AI model capabilities and hardware foundation, has launched smartphones capable of locally running its Gemini Nano model. - Meta is collaborating with Qualcomm to optimize the Llama model for Snapdragon chips, enabling smooth operation of 3B-parameter models on smartphones. - Domestically, ByteDance has rolled out its Doubao AI phone assistant, demonstrating seamless cross-app functionality.

Major AI players are competing fiercely in the edge computing space, particularly in smartphones. Additionally, companies like Meta and Alibaba are advancing AI-powered wearables, such as smart glasses, which could further boost industry growth.

**Risk Factors:** - Slower-than-expected recovery in 3C demand. - Delays in AI edge computing deployment. - Challenges in cost reduction and iteration for robots. - Intensified competition in the robotics industry.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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