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Optimus
Trends
- 1Tesla's Optimus robot hits snags as production ramps up●Tesla’s optimus hits snags in hands, suppliers as scale-up begins
Tesla's Optimus humanoid robot program is facing technical difficulties as the company begins scaling up production, with problems reported in the hands and with suppliers, alongside ongoing AI generalization challenges. The report highlights the gap between Tesla's ambitious robotics promises and the engineering realities of mass-manufacturing a general-purpose humanoid robot.
- 2Tesla Targets 20,000 Optimus Robots a Week, Hands Remain a Hurdle●Tesla Wants to Build 20,000 Optimus Robots a Week. First It Has to Figure Out Hands
Tesla says it aims to produce 20,000 Optimus humanoid robots per week, but the company still has to solve major engineering challenges with the robots' hands, which are among the most complex parts to build. Commentators are weighing the gap between the ambitious production target and the current state of the hardware, with many treating the hands as the key bottleneck for the program.
- 3Tesla workers balk at training Optimus robots meant to replace them●Tesla workers balk at training Optimus humanoid robots as replacements https://arstechnica.com/ai/2026/09/tesla-workers-
Tesla employees are reportedly pushing back against being asked to train the company's Optimus humanoid robots, tasks they fear could help prepare their own replacements. The tension highlights growing friction between workers and employers over automation in the workplace, with robotics firms increasingly relying on human labor to teach machines skilled manufacturing jobs before those jobs disappear.
- 4Tesla workers resist training Optimus robots that could replace them●Tesla workers balk at training Optimus humanoid robots as replacements
Tesla factory workers are pushing back against being asked to train the company's Optimus humanoid robots, fearing they are helping to automate away their own jobs. The reported reluctance highlights growing tension between workers and employers over AI and robotics, as employees are increasingly asked to transfer skills to machines that could make their positions redundant.