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Humanoid robots move onto factory floors, and unions move to strike

Hyundai workers in Ulsan walked off the job in July 2026 after 15 rounds of talks failed, in what the Wall Street Journal called the car industry's first factory stoppage over humanoid robots.

TechnologyAnalysisRachel NwosuPublished: 27 September 20269 min readSources 5
Humanoid robots move onto factory floors, and unions move to strike

Thousands of unionized Hyundai auto workers began walking off the job early in July 2026, after negotiations with the South Korean automaker broke down over plans to deploy humanoid robots. The partial strike at Hyundai's Ulsan production complex, which the company calls the world's largest automotive plant, has so far involved day and night shifts ending two hours early from July 13 to July 15. Four-hour strikes are planned for July 20 to 22, according to The Korea Times.

The Wall Street Journal called it "the car industry's first factory stoppage addressing humanoid robots."

That framing matters. The dispute is not about a single machine on a single line. It is about what happens when a robot stops being a tool and starts being a candidate replacement for a shift. Hyundai's union, which represents more than 39,000 South Korean workers, wants the automaker to move production workers from hourly pay to a fixed salary, so that any automation-driven cut in working hours does not hit their income, according to the Journal. It also wants the retirement age raised from 60 to 65, and bigger bonuses.

Atlas, and the timeline Hyundai has disclosed

Union pushback began as soon as Hyundai Motor Group unveiled the latest version of the Atlas humanoid robot at the start of 2026. Atlas is a two-legged machine that stands more than 6 feet tall and can lift more than 100 pounds. Boston Dynamics, the US robotics company that is about to become a wholly owned Hyundai subsidiary, built it. Hyundai aims to deploy more than 25,000 Atlas robots across Hyundai and Kia manufacturing plants, according to The Korea Herald. It plans to start with US factories in 2028, and has not disclosed a timeline for deploying elsewhere.

The economics are the part unions are reading closely. Each Atlas robot costs an estimated $130,000 but may pay for itself within about two years of operations, according to Samsung Securities analyst Esther Yim, speaking in a Bloomberg interview. James Hong at Macquarie Securities Korea Ltd. suggested that if the robot cost eventually fell to $100,000, its operational cost could drop below the US federal minimum wage of $7.25 and significantly undercut a typical auto worker's salary.

Those are analyst projections, not disclosed Hyundai figures. The company has not published a per-unit operating cost, and the payback estimate depends on assumptions about uptime and maintenance that have not been made public.

Hyundai is not the only automaker testing the idea. Tesla is developing its own Optimus robot for use in its electric vehicle factories, and BMW has been running pilot tests with humanoid robots made by Figure AI at its plant in Spartanburg, South Carolina. Multiple Chinese automotive companies, including BYD, are trying out humanoid robots and sometimes developing their own.

The automation push sits on top of a much older trend. More than 1 million robots were already in automotive factories worldwide by 2021, accounting for one-third of robots across all industries, according to the International Federation of Robotics. The United States had deployed 38,000 industrial robots as of 2025, with the automotive industry alone installing 13,500 units.

What is different about the current wave is the sales pitch. Industrial robots are usually designed for one specific task. Some robotics companies now pitch humanoid robots powered by the latest AI models as capable of eventually doing a wide variety of tasks while fitting more easily into workplaces built for humans. That vision still requires solving multiple problems in AI training and hardware development before humanoids become general-purpose autonomous workers.

Georgia, where the first US deployment is planned

Hyundai plans to put Atlas to work first at Metaplant America, an electric vehicle factory outside Savannah, Georgia, starting in 2028. The company may face less organized pushback there because the US workers at the Georgia plant are not unionized. The United Auto Workers, which represents about 400,000 autoworkers across the US, Canada and Puerto Rico, has been trying to organize the facility.

Metaplant America is already considered the most heavily automated automotive factory in the United States. It has more than 850 robots unloading auto parts, stamping steel components, putting together car frames and installing car doors, according to IEEE Spectrum. It also uses 300 automated guided vehicles to carry parts to work stations while avoiding human workers. Boston Dynamics' four-legged robot Spot has been deployed onsite for "exterior quality inspection" at the plant's weld shop. During a July 2026 visit, an Atlanta Journal-Constitution reporter described seeing the Spot "robotic dogs probe their sensor-embedded noses to sniff out defects."

The Atlas robots would start out sorting and organizing automotive parts when they first deploy in 2028. Jerald Roach, a general assembly executive at Hyundai's Metaplant, told the AJC that the humanoid robots will not pose a threat to the human workforce. Roach described human hands, with their sense of feel and touch, as necessary for handling soft car parts such as hoses, wires, carpets and trim panels.

Hyundai has committed to employing 8,100 human workers in full-time roles at Metaplant America by 2031 as part of its economic development deal with Georgia. State and local leaders provided an incentive package worth an estimated $2.1 billion. The AJC's reporting found the facility already employed more than 3,800 workers by the end of 2025.

Labor unions in both South Korea and the United States want stronger commitments than that. The UAW recently criticized General Motors for installing about 50 new robot arms at its flagship electric vehicle factory in Detroit after laying off more than 1,300 workers as a supposedly temporary measure. At the UAW Constitutional Convention in Detroit in June 2026, union president Shawn Fain warned against the direction of travel; the Ars Technica account of his remarks is truncated.

The training problem behind the factory promises

Getting a humanoid to sort parts reliably is not the same as getting it to do a job. Google DeepMind and Boston Dynamics announced at CES in January 2026 that Google's Gemini Robotics model would be deployed on Boston Dynamics robots, including Atlas and Spot, with tests planned at Hyundai auto factories in the coming months. WIRED reported that Atlas can already dance and perform acrobatics but lacks the intelligence to understand its environment, make complex decisions and manipulate unfamiliar objects with its hands.

"The real value going forward is for our robots to be contextually aware of their environment and able to use their hands to manipulate any object," Robert Playter, CEO of Boston Dynamics, told WIRED ahead of the announcement. "And we think manufacturing environments, like in Hyundai factories, are a perfect place to deploy that today."

Carolina Parada, senior director of robotics at Google DeepMind, told WIRED that Gemini was designed to be multimodal, making it suited to learning about the physical world. "Automotive is a great place to start, but certainly our intention is to continue expanding to more and more applications," she said. Playter also said that guaranteeing human safety will be crucial if humanoids are to take off, adding: "Even the little ones can be dangerous."

The data problem is harder than the hardware problem. Robotics requires far more complex data sets, including visual information, joint motions and rotations, that cannot easily be scraped from the internet or produced synthetically. Local governments in China have responded with state-funded robot training centers. By December, more than 40 such centers had been announced in the country, according to the intelligence firm Interact Analysis, with about two dozen already in operation.

Inside one Shanghai office, a 20-year-old computer science student who gave his name as Kim spent a week wearing a virtual reality headset and arm exoskeletons, pretending to open a microwave door hundreds of times a day so the humanoid next to him could learn the motion. "We call ourselves cyber-laborers," Kim told Rest of World, speaking under a pseudonym because he is not authorized to talk to media. "It's a fine gig, though a bit boring."

One of the largest facilities, a training camp in suburban Beijing launched by the Shijingshan government with humanoid company Leju, covers more than 10,000 square meters and offers 16 scenarios, including a mock car assembly line, a smart home and an elder-care setting, according to a government statement. "It's like teaching children how to walk with lots of practice," a spokesperson for the project said in that statement. "The training camp is aimed at solving the data shortage problem."

Marco Wang, an analyst with Interact Analysis, told Rest of World the infrastructure buildup also risks overcapacity. "There are some potential bubbles," he said. Goldman Sachs estimates the worldwide market for humanoid robots could be worth $38 billion by 2035, with some 250,000 shipments as early as 2030. The leading players include US-based Figure, recently valued at $39 billion, plus 1X and Tesla, while Chinese makers such as Unitree Technology, Galbot and AgiBot have each been valued at over $1 billion.

China's approach extends beyond data. The BBC reported in August 2026 that more than two million robots are working in Chinese factories, more than anywhere else, and that more than half of the world's industrial robots are now made in China. At EV maker Leapmotor's Hangzhou factory, vice-president Cao Li told the BBC that stamping, welding and painting workshops have basically achieved 100 percent automation, and that more than 25,000 workers remain with hundreds making final checks. Asked whether those checks might one day be automated, Cao said: "It's entirely possible. And it may come relatively quickly."

The public demonstrations have not settled the question either. At the World Humanoid Robot Games in Beijing from August 22 to 26, robots beat the human 100-meter record held by Usain Bolt, but also crashed into barriers and fell because they could not readily stop running, with a few breaking at the waist or catching fire. Dipam Patel, a Purdue University PhD student and IEEE graduate student member, told Ars Technica that the results show real progress in whole-body control but that the robots remain far from general-purpose autonomy. "If you cross the finish line, that's the goal," Patel said. "It doesn't matter if you stop and it doesn't matter if you fall into different pieces."

Patel also noted that many competitors were still teleoperated by humans, which the games penalized in scoring. In the firefighting and rescue scenario, only three of 12 teams completed the full challenge, according to the Global Times. That gap between a viral sprint and a shift on an assembly line is the space Hyundai's union is bargaining in, and the space every automaker deploying humanoids will eventually have to explain to its workforce.

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Sources

5
  1. 01Fear of humanoid robots spurs human workers to strike at Hyundai auto factoryEN
  2. 02Google Gemini Is Taking Control of Humanoid Robots on Auto Factory FloorsEN
  3. 03In Chinese data factories, workers teach humanoid robots boring tasksEN
  4. 04Beyond China's humanoid robots, a quieter machine revolution is unfoldingEN
  5. 05World humanoid robot games show runners breaking records, bursting into flamesEN

All figures and quotations in this text come from the sources listed below.

Content prepared by the editorial team with AI assistance.

Rachel Nwosu

Rachel Nwosu

AI, models and technology

Rachel Nwosu covers AI, models and technology for FLASH24, working from public model documentation, benchmark releases and repository histories rather than press summaries, and she skips announcements that arrive without reproducible numbers. She checks training-data claims against dataset cards and reruns reported metrics where code is available. She spends much of her week interviewing researchers and engineers, tracking model launch calendars, and comparing vendor benchmarks with independent evaluations. Outside the desk she runs 3D printers, restores old computers, and tests how models learn from internet junk. She does not publish benchmark figures she cannot trace to a source.

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