What is the investment logic in the era of robots? Instead of blindly following the trend, it’s better to systematically analyze from the perspective of the industry chain.

**Level 1: Brain and Nervous System (Software and Computing)**

Imagine the robot’s brain. In terms of foundational models, Baidu, Meta, Google, Nvidia, and Microsoft have already invested astronomical amounts in AI training. These companies hold the underlying logic of robot "thinking."

What about data processing and analysis? That’s where Palantir, Oracle, and Microsoft come in—they are responsible for enabling robots to "understand" the world. And don’t underestimate cybersecurity; Palo Alto Networks and CyberArk are virtually fortresses in the era of interconnected robots.

Looking at simulation and vision—Meta, Google, Nvidia, Take-Two, Roblox, Unity, Siemens are all competing here. Why? Because robots must learn in virtual worlds before acting in the real world.

The chip sector is the most fiercely competitive area. Intel, Nvidia, Mobileye, Qualcomm, Ambarella, plus new players like Horizon Robotics, are all fighting for the visual and computing chip market share. On the chip design and manufacturing chain, companies like Arm, Synopsys, Kengte Electronic, TSMC, and Intel are all preparing for the robot era.

**Level 2: Body and Actuators (Hardware and Drives)**

No matter how advanced the software, hardware execution is essential. What does a robot’s "body" need?

Basic components like bearings and gear reducers—RBC Bearings, Timken, Regal Rexnord—provide stable supply over the long term. For integrated actuators, Moog and Regal Rexnord are developing system-level solutions. For motors, Sensata and Renesas Electronics have their strengths, while Novanta and Sensata lead in encoders with deep technical expertise.

Don’t overlook rare earth and magnetic materials—MP Materials and other upstream suppliers are stockpiling "power" for global robots.

Sensors are the most critical part. In radar and LiDAR, Magnar, Intel, Aptiv, and Teledyne have heavyweight products. Magnetic sensors use Allegro, while torque and vision sensors are mainly developed by Teledyne, Intel, ON Semiconductor, and TE Connectivity. Sony’s image sensor chips are almost standard in robot vision.

In batteries, leading players like CATL determine the robot’s endurance. In the analog chip ecosystem, companies like Allegro, Analog Devices, Texas Instruments, STMicroelectronics, ON Semiconductor, Infineon, and Renesas provide the "nerves" of robots.

The seemingly insignificant components like chassis, cooling, and connectivity—Magnar, Amphenol, TE Connectivity, Aptiv—are where these companies make substantial profits.

**Level 3: System Integration and Intelligent Manufacturing**

Honeywell, Rockwell Automation, Siemens—these automation veterans have long been preparing for the robot era. Their industrial control and integration solutions are becoming standard configurations for factory intelligence.

**Level 4: Integrators and End-User Applications**

This is where the real money lies. Tesla’s humanoid robot project has caused a stir, Alibaba and Amazon’s warehouse robots are already operational, and Sony and Apple are eager to develop consumer-grade robots. Traditional automaker Toyota has accumulated significant experience in robotics, while new forces like Xpeng and BYD are increasing their investments in automation production.

There are also specialized robot companies like UBTECH, as well as industry giants such as GAC, Midea, Tencent, and Xiaomi Group, each playing a key role in a specific segment of the robot industry chain.

**Summary of Investment Logic**

The robotics industry is not about single-point breakthroughs but about upgrading the entire chain. From chip design to hardware integration, from sensors to actuators, from software algorithms to end-user applications—companies in every segment have opportunities. The key is to decide which direction to bet on—stable returns from chip suppliers or explosive growth potential from integrators. Competition in this track will intensify by 2026, so early deployment is essential to avoid falling behind.