Tesla Workers Resist Training Optimus Humanoid Robots as Their Own Replacements

Tesla factory workers are pushing back against being asked to train Optimus humanoid robots, with many balking at the prospect of directly facilitating their own potential displacement. The situation highlights the human labor dynamics at the frontier of physical AI deployment, where worker cooperation is essential to gathering the training data that makes robots viable. For robotics and physical AI developers, this is a practical reminder that data collection for embodied AI systems involves significant human and organizational friction. It also signals that labor relations will increasingly become a technical dependency in physical AI pipelines. Teams working on data collection for robotics systems should factor in worker trust and incentive alignment as core engineering constraints.