How Can People Join the Hardware Revolution?

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In early 2025, a transformative wave surged across the globe, driven by an unprecedented open-source AI model known as DeepSeek. Within a mere 20 days, user registrations soared past 20 million, catapulting it into the ranks of phenomenon-level AI products. This technological upheaval is rooted in a profound shift: the convergence of affordable hardware and optimized cloud computing, making AI accessible to the masses for the first time. The ensuing article delves into the underlying dynamics of this democratizing revolution as it explores three core dimensions: technological breakthroughs, a restructured industrial chain, and lucrative investment prospects, revealing the wealth opportunities embedded within smart glasses, development boards, and cloud computing.

The journey commenced on January 28, 2025, when a retired teacher in China spent a mere 80 yuan to purchase an ESP32 development board from Taobao. With the help of an online tutorial, they successfully created a personal voice assistant system. Simultaneously, engineers from China Mobile deployed tens of thousands of domestically produced GPU cards at the Intelligent Computing Center in Inner Mongolia, slashing the inference costs of the DeepSeek model to record lows. These seemingly unrelated events herald a vital truth: AI technology is evolving from an experimental privilege to a tool for everyone. Data from QuestMobile reveals that DeepSeek hit a remarkable milestone of 30 million daily active users in just 12 days — the fastest recorded in history. This seismic shift occurs as barriers of high technical know-how and costly hardware are dismantled, signaling the inception of a billion-dollar market transformation triggered by low-cost technology.

Firstly, let’s address the technological democratization exemplified by how affordable hardware is breaching AI's fortified walls. The cost of development boards has plummeted from tens of thousands to merely hundreds of yuan, exemplifying an extraordinary downward adjustment. For instance, the ESP32-S3 chip development kit by Espressif Technologies is available for just 40 yuan, with complete kits including screens and microphones costing about 340 yuan. Taobao reports monthly sales exceeding ten thousand units, with feedback flooded with disbelief that even novices can succeed with these tools. Furthermore, the proliferation of edge AI — achieved through model distillation techniques — enables the gargantuan 671 billion parameter DeepSeek model to be reduced to a 1.5 billion parameter variant, capable of running locally on devices like smartphones and smart glasses. Financial analysts at Everbright Securities predict a surge in domestic smart glasses shipments driven by the explosion of AI capabilities, projecting that by 2026, the market could witness exponential growth.

Secondly, the open-source model championed by DeepSeek is fundamentally restructuring the ecosystem. This strategy disrupts the previously monopolistic grip on AI technology. Cloud service giants such as Alibaba Cloud and Tencent Cloud offer streamlined one-click deployment services, allowing developers to leverage the powerful model without needing extensive coding knowledge. Alongside this, the three major telecommunications carriers have tailored their offerings to seamlessly integrate domestically produced technological capabilities, ensuring a fully sovereign supply chain from chips to applications. This collaborative model has helped reduce AI development costs by approximately 70% compared to traditional frameworks.

The third technological evolution is the synergistic optimization of computational power networks. China Telecom's "Xirang" smart computing platform, equipped with domestically produced Ascend chips, rivals the performance of high-end international GPU offerings while managing to cut costs by 40%. This triad of optimization across algorithms, computational power, and hardware has brought the comprehensive deployment costs for individual users to a remarkable hundred-yuan level.

Moving towards the reconstruction of the industrial chain, the landscape of a hundred-billion-dollar market is revealing three major avenues for profit-seekers. The upstream segment sees the rise of "invisible champions" in chip and hardware manufacturing. Domestic GPU manufacturers like Muxi's N260 outperform NVIDIA's L20 in terms of performance while maintaining affordability. On the other hand, the demand for edge chips is surging, with companies like Hengxuan Technology and Rockchip providing AI co-processors for smart glasses and wearable devices; the market scale for these chips is forecasted to exceed 20 billion yuan by 2025.

In the midstream, a 'water vendor' profit model is taking shape within cloud services. An aggressive battle for supremacy is playing out among cloud service providers. Baidu Smart Cloud has issued a complimentary service for DeepSeek, whereas Alibaba Cloud has developed a zero-code deployment feature that captures the attention of small and medium developers with customized computational power solutions. The emergence of a rental business model for computational power provides developers with unlimited free trials, significantly reducing the barriers for hardware investments to almost nothing.

Finally, the downstream segment is witnessing an explosive wave of innovation across various application scenarios. The intelligent terminal revolution is evident as Lenovo's personal AI "Xiaotian" enhances coding efficiency by threefold after integrating with DeepSeek, and DingTalk's AI assistant saves enterprises 30% in labor costs thanks to custom model tailoring. Furthermore, data from Taobao indicates that AI-powered toys and smart home devices have seen a staggering 500% year-on-year sales growth, particularly in the DIY kit segment, with prices averaging between 150 to 500 yuan.

Now, turning to how ordinary investors may engage in and capitalize on these changes: they can find value by focusing on high-flexibility niche sectors. The storage chip market is poised for growth, as the demand for smart glasses exceeds 32GB of storage capacity, significantly increasing orders for companies like GigaDevice and Biwin. Similarly, low-power chips are witnessing steady demand, with the sales of Espressif's ESP series development boards reaching over ten thousand units monthly, and companies like Zhongke Bluecore and Rockchip continuing to see rising needs for edge AI chips.

On the application layer, opportunities will abound in identifying "AI plus essentials" scenarios. In particular, enterprise services stand to benefit from optimizing marketing algorithms using DeepSeek, potentially enabling small to medium businesses to improve their conversion rates by 30%. The consumer electronics space is projected to embrace AI smartphones, with predicted penetration rates hitting 35% by 2025, yielding substantial upgrade dividends for manufacturers like Huawei and Xiaomi through their adaptations of big models for edge devices.

On the computational power tier, focusing on foundational infrastructures can serve as a stabilizing anchor for investors. Companies producing domestically manufactured servers, such as Shenzhou Digitech and Tsinghua Tongfang, are expected to fulfill growing orders, with a projected 50% increase in shipments by 2025. The substantial energy consumption associated with AI computation is stimulating investment opportunities in nuclear energy and smart grid construction, laying the groundwork for future endeavors.

Ultimately, the revolution ignited by DeepSeek signifies a resounding victory for technological democratization. As 80 yuan development boards unleash elite AI capabilities and ordinary individuals — even homemakers — begin to create their intelligent assistants, traditional investment paradigms based on stringent technological barriers are rapidly becoming obsolete. For the everyday person, opportunity lies within two dimensions: seizing the consumer innovation dividends spawned by plummeting hardware costs and capitalizing on the infrastructure dividends generated by the expansion of computational power networks. However, one must be cautious of blindly chasing trends — the prevalence of technology often comes with bubbles. Focusing on firms marked by genuine demand, stable cash flow, and clear technological moats can enable investors to navigate market cycles successfully. In the evolving wealth landscape, AI becomes a domain not exclusive to industry giants. The revolution fueled by inexpensive hardware is scripting a new narrative for the ambitions of everyday individuals.

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