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A phenomenon that deserves special attention has recently emerged— the AI robot concept stocks sector is going through a clear wave of differentiation. Some companies have already begun turning their technology into tangible orders, while others are still burning money and telling stories. Instead of blindly chasing hype, it’s better to figure out who truly has value.
First, let’s talk about the industry background. “Robots” may sound simple, but the industry chain is actually extremely complex. Upstream are core components such as servo motors and reducers; midstream involves the robot body and system integration; downstream is where the real applications across various industries come in. Many people only see the hype around humanoid robots, but opportunities in niche areas like industrial robots, logistics robots, and medical robots are by no means small—some are even more mature and profitable than humanoid robots.
Recently, I focused on several AI robot concept stocks listed in Taiwan and found that some companies are performing quite differently.
Quanta (2382) is a particularly interesting case. Many people only know it for doing server OEM work, but its real ace lies in its subsidiary, Daming Robots. Daming develops AI vision and collaborative robotic arms on its own, and behind it is Quanta’s server computing power. This integration—from cloud training to edge execution— is a competitive advantage in the era of physical AI. Daming follows the route of wheeled humanoid robots, which better matches factories’ requirements for stability and can penetrate semiconductor production lines more quickly. In the first quarter, Quanta’s revenue was 8,092 billion yuan (NTD), up 66.6% year over year, reaching a new high for the quarter. Among them, AI servers accounted for more than 75% of server revenue. Although the gross margin fell to 4.78%, which is somewhat painful, the company said that with operational leverage kicking in during the second half, profitability may improve. Most importantly, although robot business revenue still makes up a single-digit share, its gross margin is clearly higher than the OEM level—this is the true focus of the group’s transformation.
Advantech (2395) is taking another approach. It treats edge AI as a strategic priority, and this year its goal is to bring it up to a 30% revenue contribution. In the first quarter, edge AI revenue grew 67% year over year, indicating that its technological layout has started to translate into real gains. Advantech’s strength is that it doesn’t just provide a computing platform; it also integrates sensors, AI software, and industrial certifications into ready-to-use solutions. This fills the market’s “integration gap,” leading to extremely high customer stickiness in areas such as autonomous mobile robots and humanoid robots. Because it is deeply tied with NVIDIA and has decades of industrial experience, it can turn cutting-edge chip technology into truly “industry-ready” solutions suitable for factories—something competitors can’t do.
U-Right (2049) has, over the past few years, extended from traditional machine tools into high-end robots. In the first quarter, the share of robot-related revenue already exceeded 12%, up more than 40% year over year. The company has in-depth cooperation with a U.S. AI logistics robot developer, and contributions from humanoid robots and logistics robots are expected to increase quarter by quarter. In the first quarter, EPS reached 1.64 yuan (NTD), a new high in nearly six quarters, and gross margin is also challenging above 30%. As one of the top three global manufacturers of ball screws, its positioning and layout in harmonic reducers and joint modules have also gained favor from major international firms. However, it’s worth reminding investors that U-Right’s current stock price is relatively high and volatile, so risk management is important.
Dah Yin Micro Systems (4576)’s competitiveness comes from its high-precision air bearing positioning platform. This is indispensable in advanced semiconductor packaging and 2nm process equipment. As demand for AI chips explodes, wafer fabs have increasingly higher precision requirements, which helps Dah Yin build a solid technological moat. In 2026, Dah Yin is expected to officially enter the harvesting period in the robotics market, and large quantities of new drive units have already begun shipping. For the first four months, cumulative revenue increased 43.95% year over year, while gross margin remained at a high level of 39%. In the second half of the year, the company will also add 30% more capacity, and order visibility has already reached Q4. Market estimates suggest that this year’s EPS could land in the range of 3.7 to 4.8 yuan.
Solomon (2359) provides software solutions covering 3D vision, defect detection, and robot control. Through cooperation with NVIDIA, it can significantly shorten the robot development cycle. In the first quarter, EPS was 0.78 yuan, with a year-over-year growth rate as high as 1,014%, and its AI vision business has started to contribute real profits. However, it’s important to note that Solomon’s stock is much more volatile than weighting stocks, making it easily affected by market sentiment. This high-volatility characteristic makes it more suitable for swing trading, but you must have stop-loss discipline.
With that said, I want to emphasize a logic for stock selection. The AI robot concept stocks sector does offer opportunities, but it is also full of uncertainty. First, look at market demand. Population aging is boosting demand for surgical robots; the humanoid robot market is projected to exceed $2 billion by 2027, and the compound annual growth rate from 2024 to 2027 is as high as 154%. Therefore, prioritize companies that are developing humanoid robots or planning to enter related industry supply chains. Second, look at technological investment. The robotics industry iterates quickly, so companies must maintain an excellent pace of innovation. When reading financial reports, pay attention to the scale and trend of R&D cash flow—companies whose CFI has stayed at high levels or kept rising over the past 5 years are more worth considering.
Finally, let’s talk about risks. AI robot concept stocks have enormous growth potential. Lucky investors might discover stocks that multiply tenfold or even hundredfold. But robot technology iterates extremely fast, and especially after it combines with AI, you need to closely monitor companies’ R&D capabilities and market adaptability. Differences in government policy support across countries will also affect company development. The impact of robots becoming widespread on the labor market will bring regulatory changes, so investors must adjust their positions in a timely and flexible manner.
Overall, the opportunities for AI robot concept stocks in 2026 are indeed real. The key is to find companies with solid technology, orders that truly convert into results, and healthy financials. Don’t be misled by theme-driven hype—look at real revenue and gross margin. That’s how you can seize the true opportunities in this wave of AI robotics.