Series Index
1- Humanoid Civilization Shift Driven by Physical AI: The Emergence of “i-Human (AI-Human) Productivity.”
2- Human Reallocation: Laborers Disappear, Leaving “Architects” and “Governors.”
3- The Essential Conditions for Humanoids: System Requirements for Power, Safety, Autonomy, and Control
4- Expanding Forms, Differentiating Roles: An Evolution Map of Humanoids by Industry
5- The Growth Mechanism: The “i-Human (AI-Human) Economy,” Where Productivity Meets Knowledge
6- The Technology Inflection Point: How Sensors, Motors, Control, and Algorithms Are Reshaping the Physical AI Stack
By Im Byoung-min (IBM) Columnist
The speed at which humanoid robots replace humans in the labor market will vary depending on several factors. Looking at the current state of technological advancement, several significant obstacles stand in the way of humanoid robots completely replacing humans. Technological limitations remain, and tasks requiring human emotion, intuition, and creativity are still difficult for robots to fully replace.
From an economic perspective, introducing robots requires weighing investment costs against productivity gains. Further considerations will also be necessary, including ethical concerns about the replacement process, the value and role of human labor, and broader social changes in work in the AI era. In particular, the areas where humanoids can replace humans most quickly will likely involve simple, repetitive tasks—especially in manufacturing and logistics.
Human labor is commonly divided into knowledge work (creative planning) and physical labor (production and services). Compensation typically reflects skill level, and society evaluates roles and contributions across a wide range of activities, including highly creative work.
So why are designers and supervisors more necessary than workers in the humanoid era? The reason is that the AI era is reshaping technology, the economy, and social structures at the same time. Humanoids, guided by human judgment and design, can perform the repetitive manual tasks that often form the core of traditional labor.
Humanoids execute rule-based work such as repetitive tasks and physical labor as “objects” operating in human spaces. They do not fatigue, can work 24 hours a day without rest, and can operate with greater speed and accuracy. Like cars and airplanes, humanoids function under human control and do not experience feelings or pain.
Humanoids differ from humans in a crucial way: humans define the intended outcome, direct what will be made, detect and resolve unexpected system errors, and carry ethics and responsibility. That is why humans retain value as decision-makers, judges, and designers. Because humanoids are objects controlled by humans—like cars, airplanes, or rockets—no matter how advanced they become, they cannot be the subject of social and legal judgment.
In the future, robots may perform the work, but humans will carry the responsibility. The human role, as system designers, will be to supervise operations and serve as the accountable party. In this sense, humans transition into an era of “expanded intelligence,” focused on achieving higher humanoid efficiency.
Humanoid designers define a robot’s purpose, structure, and required capabilities. Their work spans the robot’s body architecture, sensor and actuator configurations, hardware-software integration, and baseline abilities such as walking and manipulation, as well as the robot’s interaction model with humans.
Designers also incorporate safety and ethical safeguards at the design stage—such as force limits, collision avoidance, and emergency stop mechanisms—to prevent harm to people.
Conversely, humanoid supervisors manage and control whether the robot operates safely as intended in real-world environments. They continuously monitor the robot’s status and intervene immediately when errors or abnormal behavior occur, taking the necessary corrective actions.
They also manage risks that can arise during human interaction and relay operational evaluations and identified problems to designers and development teams so that improvements can be made. Beyond operations, supervisors may also oversee learning processes and data use, ensuring compliance with ethical and legal standards.
Because humanoids are systems designed to mimic humans, human-centered knowledge—such as anatomy, biomechanics, and human-robot interaction—is essential. At senior designer or supervisor levels, the required skills expand further: integrating mechanical, electrical, and software components into a single system, designing for reliability, making technical decisions, and leading teams.
Ultimately, becoming a humanoid designer or supervisor means moving beyond expertise in a single technology. It requires understanding the entire complex humanoid robot system and taking responsibility for error-free, accountable operation.
As we live in the AI era, where humanoids become companions in work and society, basic competitiveness begins with proficiency in text-generation tools. Beyond that, AI competitiveness will increasingly come from becoming skilled across a practical set of AI software tools—roughly a dozen categories depending on one’s field.
These include text generation, AI image generation, AI video generation and editing, AI voice, AI coding, AI data analysis and prediction, AI search and research, AI workflow automation, AI design and UI, AI marketing and sales, AI education and learning, AI medical and legal tools, and AI finance-specialized tools. The key is practice: using the tools in the field you aim for, consistently and hands-on.
To become a humanoid designer or supervisor in particular, it will be important to build an understanding of the physical layer where humanoid mechanics, sensors, software (C++, Python), and hardware interact.
