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"Humanoids will soon replace most human workers": A debate
Hesheng Wang1, Michael Wang2, Frank Park3
1Shanghai Jiao Tong University, Shanghai, China.
Science Robotics
|May 20, 2026
Summary
Leading experts debated at the 2025 International Conference of Intelligent Robots and Systems (IROS) if humanoid robots will replace human workers. The discussion summarized key arguments for and against this technological shift.
Area of Science:
- Robotics and Artificial Intelligence
- Human-Robot Interaction
- Future of Work Studies
Background:
- The rapid advancement of humanoid robot technology raises questions about its impact on the labor market.
- The 2025 International Conference of Intelligent Robots and Systems (IROS) provided a platform for expert discussion on this critical issue.
- Understanding the potential for job displacement is crucial for economic and social planning.
Purpose of the Study:
- To summarize the arguments presented at IROS 2025 regarding the replacement of human workers by humanoid robots.
- To provide a balanced overview of expert opinions on the future of human labor in an increasingly automated world.
- To inform stakeholders about the ongoing debate on humanoid robot integration into the workforce.
Main Methods:
- A summary of expert debates and discussions from the 2025 IROS conference.
- Analysis of arguments presented by researchers and industry leaders.
- Compilation of key points supporting and opposing the claim of human worker replacement by robots.
Main Results:
- Arguments for replacement focused on increasing robot capabilities, efficiency, and cost-effectiveness.
- Arguments against replacement highlighted the need for human skills like creativity, empathy, and complex problem-solving.
- The debate underscored the nuanced and multifaceted nature of robot integration into various industries.
Conclusions:
- The complete replacement of human workers by humanoid robots in the near future is unlikely.
- Humanoid robots are more likely to augment human capabilities and transform job roles rather than eliminate them entirely.
- Further research and policy development are needed to navigate the evolving landscape of human-robot collaboration.
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