South Korea is moving the artificial intelligence race out of the chatbot window and into restaurant kitchens.
After years in which food-service robots were largely limited to brewing coffee, delivering trays or frying chicken on fixed commands, Korean companies are beginning to test a more ambitious model. Restaurants, convenience stores and food factories are becoming early proving grounds for physical AI, a technology that combines the reasoning power of generative AI with robots capable of sensing, deciding and acting in the real world.
The shift reflects a larger bet by South Korea, one of Asia’s most technology-driven economies, that the next stage of AI competition will not be confined to software. The government is pushing physical AI as a strategic growth industry, while companies facing labor shortages, rising wages and pressure for more consistent operations are looking for ways to automate work that has long depended on people.
South Korea’s Ministry of Science and ICT, the government agency responsible for national technology policy, said on July 1 that it plans to invest about 10 billion dollars this year in AI, robotics and related fields to support leading companies and large-scale projects. The ministry is also launching a separate physical AI technology-development program with 22 million dollars over two years. The Ministry of Trade, Industry and Energy, which oversees industrial policy, is also seeking to expand AI-powered robots in retail and logistics.
Physical AI differs from the older generation of restaurant robots. Many existing machines follow programmed routines and struggle when the environment changes. A physical AI system is designed to use cameras, sensors, voice recognition and AI models to understand what is happening around it and adjust its actions in real time.
That distinction matters in restaurants, where the work is far less predictable than on a factory line. Orders change constantly. Recipes differ by brand and menu. Cups slip, ingredients run low and customers behave unpredictably. For AI companies, that makes restaurants a difficult but valuable training ground for machines that must learn to operate in messy real-world settings.
The technology is also being framed in South Korea as a response to demographic pressure. The country is grappling with one of the world’s lowest birthrates, a shrinking working-age population and chronic labor shortages in service industries. For restaurant operators, physical AI is not just a futuristic experiment. It is increasingly seen as a way to keep stores running with fewer workers while improving speed and consistency.
Hanwha Robotics, the robotics arm of Hanwha Group, a major South Korean conglomerate with businesses spanning aerospace, defense, energy and manufacturing, is among the companies moving into the field. The company is being linked more closely with Hanwha’s retail, hospitality and food-service affiliates under Kim Dong-sun, a Hanwha executive and son of the group’s chairman.
Hanwha’s collaborative robots are already being used at Benson, a premium ice cream brand associated with Kim. The company says the production operation can be maintained with roughly 50 percent to 60 percent of the staffing required at a conventional facility while improving efficiency and product standardization.
Lotte Group, one of South Korea’s largest retail and consumer conglomerates, is also expanding its robotics push through Lotte Innovate, its information-technology affiliate. The company has developed ROI, a humanoid robot designed to greet customers, provide product information and assist with store guidance. ROI has been deployed at a Seven-Eleven concept store and was also tested in April at the Lotte World Tower Sky Run, where it climbed part of the building’s stairs to demonstrate balance control and environmental recognition.
The restaurant industry is beginning to move from isolated robots toward fully connected store systems. Mom’s Touch, a major South Korean quick-service restaurant chain known for chicken burgers and fried chicken, has partnered with AI robotics company XYZ to develop a future restaurant model that automates the process from ordering and cooking to serving food.
The goal is not simply to replace a single kitchen worker with a machine. The broader ambition is to link ordering, food preparation, inventory management and purchasing into one AI-driven operating system. If successful, such systems could give restaurant chains tighter control over quality, reduce waste and make store operations more predictable across locations.
The obstacles remain significant. The upfront cost of installing physical AI systems is high, and many existing kitchens would need to be redesigned before robots could work efficiently. Menu standardization is another challenge. Large franchises are better positioned to absorb those costs, while small independent restaurants are likely to move more slowly.
The technology itself also remains in an early stage. Unlike factories, where robots can repeat the same process thousands of times, restaurants require machines to learn from a constantly changing stream of physical data. A coffee robot, for example, must learn not only where a cup is placed but also how milk pours, how long espresso extraction takes and how to respond when something goes wrong.
For now, South Korea’s physical AI push is less about restaurants becoming fully unmanned overnight than about building the data and operating models needed for the next generation of automation. The country’s food-service industry is emerging as one of the first real-world testing grounds for whether AI-powered robots can move beyond controlled factory settings and handle the unpredictable conditions of everyday commercial spaces.
