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Optimus
Trends
- 1Tesla workers balk at training Optimus robot replacements▼Tesla workers balk at training Optimus humanoid robots as replacements
Tesla employees are reportedly resisting efforts to train the company's Optimus humanoid robots, viewing the work as helping to prepare their own eventual replacements. The friction highlights growing tension between automation and labour inside the electric car maker as it pushes Optimus toward factory use. The story is drawing attention across tech and robotics discussion circles.
- 2Tesla's Optimus robot hits hands and supplier snags●Tesla’s optimus hits snags in hands, suppliers as scale-up begins
Tesla is beginning to scale up production of its Optimus humanoid robot, but the ramp-up is running into difficulties. The robot's hands remain a weak point, with dexterity and durability problems proving harder to solve than expected, and AI generalization — getting the robot to handle varied real-world tasks — is also lagging. Tesla is additionally contending with supplier constraints as it tries to move from prototype to volume manufacturing.
- 3
Tesla says it aims to produce 20,000 Optimus humanoid robots per week, but a major obstacle remains the robots' hands, which are proving difficult to engineer at scale. The ambition stands in sharp contrast to current progress, as the company has yet to demonstrate mass manufacturing of the robots, and reliable, dexterous robotic hands are considered one of the hardest problems in robotics.
- 4Tesla workers resist training Optimus robots meant to replace them▼Tesla workers balk at training Optimus humanoid robots as replacements
Tesla employees are pushing back against being asked to train the company's Optimus humanoid robots, fearing they are helping to automate their own jobs. The controversy, reported by Ars Technica, has reignited debate over labor rights in the AI and robotics industry, with commentators split between sympathy for workers and arguments that automation is inevitable.
- 5Tesla workers resist training Optimus robots that could replace them●Tesla workers balk at training Optimus humanoid robots as replacements https://arstechnica.com/ai/2026/09/tesla-workers-
Tesla factory workers are reportedly pushing back against being asked to train the company's Optimus humanoid robots, tasks they fear will help replace their own jobs. The tension highlights a growing workplace dilemma as automation advances: employees are expected to teach the very machines that may make them redundant. The report is fueling wider debate about labor rights, automation policy and how companies handle workforce transitions.
- 6
Tesla is reportedly approaching a production rate of 1,000 Optimus humanoid robots per week, but the machines still struggle to reliably perform basic tasks. Reports highlight the gap between the company's manufacturing ambitions and the robots' current technical limitations, drawing attention to questions about how soon humanoids can be genuinely useful in Tesla's operations.
- 7Tesla's Optimus robots struggle with reliability despite production push●Tesla’s Optimus robots hit reliability and dexterity issues despite production surge: Report
A new report says Tesla's Optimus humanoid robots are running into reliability and dexterity problems even as the company ramps up production. The issues suggest the robots remain far from dependable performance outside controlled settings, raising questions about how quickly Tesla can turn its ambitious robotics program into a commercially viable product.
- 8Tesla's Robots Still Can't Work With Their Hands●Work With Your Hands? That’s One Area Tesla’s Robots Aren’t Cracking Anytime Soon
Tesla's humanoid robots remain unable to perform fine manual work, according to a new report on the company's robotics programme. The analysis points to dexterity — the ability to manipulate objects with human-like precision — as a major unsolved obstacle for Tesla's Optimus robots. Observers note that while the machines can walk and perform basic tasks, tasks requiring skilled hand use are still out of reach, suggesting practical deployment in factories and homes is further off than some announcements imply.