
If AI hasn’t already struck fear in the minds of the general population, humanoid robots are threatening to break the confines of the lab and enter the real world. It’s been hard to ignore those funny humanoid robot videos but it’s not all about party tricks and dance moves. Deployments are expected to surge from today’s tens of thousands to millions in the next decade, driven by broadening commercial and industrial applications.
What’s stopped full-scale adoption in the past?
Robots themselves are not new. They have been performing singular mechanical tasks like painting, welding or assembling for decades. There is no shortage of demand for real-world applications, but the biggest constraint for full-scale, multipurpose adoption remains a lack of real-world training data.
Unlike LLMs where most of the training data resides on the internet, robots need data from the physical world, including watching humans performing various mundane and complex tasks in unpredictable environments (called physical AI). However, the race is on to use real-world and synthetic data to create the data flywheel that will enable rollout at scale. AI-based simulation algorithms can now replicate physical-world training data and compress the learning cycle from years to days.
Additional constraints to humanoid robot adoption are the lack of dexterity and limited battery life that prevent robots from taking up complex and mission critical tasks – for now.
What’s changed now to drive full-scale adoption?
As per CLSA, there are four key trends beneath the surface that could be changing the paradigm when it comes to full-scale commercialization of humanoids.
- Actuators used to convert electrical energy into kinetic energy (movement) are being standardized across the industry with energy efficient and precise electric actuators (vs. leaky hydraulic actuators).
- A move toward modularization where the motor, reducer, inverter and controller are housed in one integrated unit which is easier to mass produce.
- Reducers are what give robotic joints the power to lift weights. Advances in AI software are helping decrease inaccuracies in low-cost planetary reducers, therefore enhancing performance while bringing overall costs down.
- Finally, the adoption of linear actuators which use convert rotational energy into straight-line thrust, mimicking the contraction and extension of human muscles. This helps with heavy load bearing capacity and better shock absorption on ground impact.
Where will demand come from?
- Manufacturing – particularly in automotive industries which have both the scale and assembly line processes to enable large-scale adoption. We also see auto component companies as fertile ground for the emergence of humanoid robot opportunities, given their scale manufacturing and quality control experience.
- Retail and facilities management – from tasks like customer service, cleaning and delivery-related work.
- Logistics – tasks around assembly, packaging, inspection and transportation.
- Defence and hazardous tasks – from mine clearing to dangerous material handling.
We have several holdings in the emerging market small cap portfolio that could potentially benefit from the coming robotics revolution. Sinbon Electronics Co. Ltd. (3023 TT) supplies sensors and connectors for both battery charging and signal transmission, and video capture harnesses directly to humanoid robot OEMs. Reliability and quality requirements are stringent and Sinbon is a sole supplier for at least two US humanoid clients.
Similarly, pneumatic actuators and linear motion components are among the most widely used parts in humanoid robot joint and limb assemblies and Airtac International Group (1590 TT) is an important supplier in this space. We also believe holdings such as WeRide Inc. (WRD US) and Dongguan Yiheda Automation Co. Ltd. (301029 CH) could potentially benefit from increased investment in humanoid robotics.
We believe emerging markets will be at the heart of the humanoid revolution. According to Bloomberg, China accounted for almost all global humanoid shipments so far this year. Just as how Asian supply chains deliver the picks and shovels enabling the current AI buildout, we think a similar story will play out in robotics as the current supply chain leverages its scale and manufacturing excellence to mass produce everything from actuators, reducers, sensors and cables that are needed to power this revolution.
The companies discussed are provided for illustrative purposes to demonstrate the investment team’s research into the robotics theme and are not intended as investment recommendations. There is no assurance that these companies will benefit from increased adoption of humanoid robotics or that the investment thesis will develop as anticipated.





































