Summary of Key Points
A “robot duck” priced at $399 has unexpectedly sparked interest in the edge-side AI chip market: Rockchip Microelectronics’ chips have led to a limit-up in the stock price, with a market value exceeding 82.3 billion yuan, and related AI stocks have seen a collective rise in value. The pre-sale of the robot duck was extremely successful, with orders totaling over $2.6 million in 24 hours, and delivery is scheduled for 4-6 months later. The industry sees this as a sign of the large-scale adoption of edge-side AI, with 2026 being designated as the “Year of Edge-Side AI,” and the market size expected to nearly quadruple over the next four years. Rockchip Microelectronics’ performance in the first half of the year reached a record high, with its robotics business becoming a key driver of growth. However, the implementation of edge-side AI still faces the challenge of “fragmented deployment.”
I. The Robot Duck’s Success Drives Edge-Side AI Stocks, with Rockchip Microelectronics as the Biggest Winner
Why has this robot duck, named Microduck, caused such a stir in the stock market?
Firstly, it is visually appealing: it looks like a duck, can walk, squat, and get up after falling, and its beak (or claws) can even pick up socks, making it affordable for ordinary consumers at just $399 (about 2,800 yuan). Secondly, the pre-sale numbers are impressive: over $2.6 million was generated in 24 hours, overwhelming the e-commerce platforms’ order systems, with new orders waiting 4-6 months to be fulfilled.
Most importantly, the “brain” of the robot duck uses Rockchip Microelectronics’ RK3566 chip, which controls the 15 motors of the robot and manages modules such as cameras and radios. The market immediately interpreted this as evidence that edge-side AI is actually being sold in the robotics sector, leading to a limit-up in Rockchip’s stock price. Other companies specializing in edge-side AI chips (such as Megmeet Intelligence and Broadcom Integrated) also saw increases in their stock prices, revitalizing the entire sector.
II. Is Edge-Side AI About to Explode? 2026 Seen as the “Year of Edge-Side AI,” with Market Size Nearly Quadrupling
What is edge-side AI? Simply put, it involves integrating AI capabilities directly into devices (such as robots, smartphones, and computers) without relying on cloud computing. Previously, AI often required an internet connection to access large models, but edge-side AI allows devices to process data on their own, resulting in faster responses, lower data usage, and better privacy.
Why is 2026 considered the “Year of Edge-Side AI”? Industry reports indicate that the capacity of AI models that can be installed in terminals is now high enough (for example, the chip in the robot duck can perform complex actions), and this technology is set to be widely adopted in 2026. Data supports this prediction:
- Frost & Sullivan predicts that the global edge-side AI market will grow from 321.9 billion yuan in 2025 to 1.22 trillion yuan by 2029, nearly quadrupling in four years, with an annual growth rate of 40%.
- IDC predicts that 50 million AI-powered computers (Gen AI PCs) and 432 million AI smartphones will be sold in 2026, meaning one in every three smartphones will be AI-enabled.
This means that edge-side AI is no longer just a concept; it will soon become a part of everyday life.
III. Rockchip Microelectronics Sets a New Record High in Performance, with High-Margin AI Chips and Robotics Business Driving Growth
Rockchip Microelectronics’ performance in the first half of the year was outstanding:
- Revenue reached 2.877 billion yuan, a year-on-year increase of 40.6%; net profit was 859 million yuan, a year-on-year increase of 61.7%, both reaching record levels.
- The second quarter was even more impressive, with revenue of 1.671 billion yuan (a 38.6% increase) and net profit of 530 million yuan (a 60.9% increase).
The reasons for this success include:
1. Optimized product portfolio: High-margin AIoT chips (such as the RK3588/RK3576 series) are selling well, as they are used in robots and smart devices.
2. Significant investment in research and development: 370 million yuan was spent on R&D (a 32.6% increase), and the new RK182X coprocessor was successfully mass-produced.
3. Early entry into the robotics market: Manufacturers like Yushu Technology (four-legged robots) and UbiBot (humanoid robots) use Rockchip’s chips, which play a crucial role in environmental perception and decision-making (e.g., avoiding obstacles, picking up objects).
IV. What Hinders the Adoption of Edge-Side AI? “Fragmented Deployment” as the Biggest Barrier
Despite the promising prospects, the large-scale adoption of edge-side AI faces a major challenge: fragmented deployment. In other words, there are too many different types of edge-side chips (NPU, GPGPU, RISC-V AI, etc.), each with its own design, as well as a variety of AI models. Terminal devices (robots, smartphones, watches, etc.) also vary greatly. This creates a complex combination of “N models × M chips × K devices,” making it as difficult to ensure seamless operation of AI models across all devices as it is to make software work perfectly on Android, Apple, and Windows.
The industry’s current challenge is to find a way to bridge the gap between AI models, chips, and terminals, enabling the low-cost and rapid integration of edge-side AI into various devices. This requires collaboration among chip manufacturers, model developers, and device manufacturers.
Conclusion
The success of the robot duck is a microcosm of the potential of edge-side AI, and Rockchip Microelectronics’ stock price surge reflects the market’s confidence in this field. 2026 is approaching as the “Year of Edge-Side AI,” with tremendous growth potential, but the issue of fragmented deployment cannot be ignored. For consumers, we can expect to see more edge-side AI devices like the robot duck in the coming years, making life more intelligent and enjoyable. For investors, the growth logic of edge-side AI chip companies is becoming clearer, but attention should also be paid to technological breakthroughs and industry collaboration.