Tesla, Hyundai Accelerate Humanoid Robot Deployment as Costs Drop 40%

At CES 2026 held in Las Vegas this January, Boston Dynamics, a Hyundai Motor Group subsidiary, unveiled its humanoid robot "Atlas," sending shockwaves through the industry. Atlas's movements raised expectations that it could replace human labor. But what stunned audiences most was watching Atlas replace its own battery when power ran low.

Current humanoid productivity remains below human levels. Chinese humanoid company UBTech has acknowledged that its latest model, Walker S2, operates at only 30-50% of human work efficiency. While round-the-clock operation would reverse this gap, current technology limits humanoid battery life to roughly four hours. Humans must replace or recharge batteries—requiring human labor.

Atlas's self-battery replacement eliminates this bottleneck for workplace deployment. With humanoids able to swap their own batteries and dock spent ones for charging, operating time becomes virtually unlimited.

Global companies, including U.S. Big Tech firms, are intensifying AI infrastructure investments, nearly doubling spending annually. This capital flood is now concentrating on humanoid startups, accelerating a "scaling law" race to advance deployment timelines.

Tesla plans to convert its Fremont, California facility into an Optimus humanoid production plant, committing $20 billion to the expansion. Even for Tesla, with $44 billion in cash and investment assets, this represents a substantial outlay. Despite market concerns, CEO Elon Musk stated during an earnings call, "We are taking measures to ensure Tesla thrives no matter what."

Hyundai Motor Group will deploy Atlas humanoids at its Georgia megafactory starting in 2028, partnering with Boston Dynamics. The company plans to expand roles from parts sequencing to assembly, targeting annual production of 30,000 units by 2028.

Foxconn and NVIDIA plan to deploy humanoid robots at their Houston AI server factory starting early this year. Mercedes-Benz and Apptronik have partnered to pilot Apollo humanoids for parts handling and initial quality inspections. 1X, the AI and robotics company behind humanoid robot NEO, reached a strategic partnership with private equity giant EQT late last year, agreeing to supply 10,000 units.

Companies are pouring tens of billions of dollars into humanoids expecting robot labor to break through stagnating human productivity limits. In U.S. logistics, workers averaging 2,080 annual hours (40 hours weekly) earn approximately $62,400, or about $30 per hour. Robots like Agility Robotics' "Digit," now in early commercialization, cost $10-12 per hour including hardware depreciation and maintenance—40-60% of human wages. Over five years of operation, humanoid costs could drop to $5 per hour.

MIT Professor Daron Acemoglu has found that each additional robot eliminates approximately 3.3 to 6.6 jobs—meaning one robot does the work of at least three people. Humanoid productivity will likely improve further. Goldman Sachs reported in its 2024 humanoid robot analysis that manufacturing costs fell approximately 40% from 2023, with payback periods shortened by two to three years.

Beyond productivity, companies see humanoids reducing costs from labor disputes, industrial accidents, and other workforce challenges. According to the Ministry of Employment and Labor and the Korea Occupational Safety and Health Agency, economic losses from industrial accidents reached an estimated 36.4 trillion won ($26.4 billion) in 2023. Including production losses, facility repairs, and brand damage, indirect costs exceed direct expenses. Labor disputes also carry heavy costs. During the 2022 truckers' strike, the government reported shipment disruptions exceeding 3.5 trillion won across cement, steel, and automotive sectors.

Humanoid deployment appears inevitable, with investment trends suggesting accelerated timelines. Experts warn that human labor must prepare accordingly.

"The most urgent task is deconstructing current jobs and reconfiguring work when AI-integrated robots enter workplaces," said Lee Ji-man, professor at Yonsei University School of Business. "Finding what humans can do is critical. If humans cannot use robots as tools, robots will encroach on humans."