South Korea at the Forefront of Robotics

If you’re looking to understand the future of artificial intelligence, you might want to consider a factory in Korea rather than Silicon Valley.

South Korea is currently leading the world in industrial robots, boasting a density of 1,012 units per 10,000 manufacturing workers. This means that, roughly, one in ten of these “workers” is actually a robot.

However, despite having some of the most advanced humanoid robots, they still struggle with tasks that very young children can manage easily.

This impressive statistic tells a larger story that connects American AI laboratories, South Korean factories, Chinese manufacturing lines, and Indian garment operators.

While many in the U.S. view the AI revolution as a digital phenomenon, likely represented by platforms like ChatGPT or Google Gemini, the next phase is expected to be much more physical.

Researchers are shifting their focus. Instead of just figuring out how machines can write like humans, they’re now exploring how robots can move like us. Consider simple tasks: gripping a coffee mug, folding a shirt, or cracking an egg without breaking it.

This shift has led to an unexpected global division of labor: the U.S. creates the technology, South Korea builds the machines, China provides the practical environments, and India supplies the workers who teach them.

In essence, this illustrates a surprising truth: the future of artificial intelligence will rely heavily on ordinary human experiences.

Korea: Crafting the Body

If there’s a hub for robotics, it’s likely in South Korea.

The nation’s prowess in robotics did not emerge by chance. Decades of expertise in manufacturing advanced automobiles have laid the groundwork.

The same skills used to construct high-performance car components are now being applied to humanoid robotics, suggesting South Korea may account for around 30% of global humanoid robot production by 2035, whether by outright manufacturing or by supplying essential parts.

However, as automation advances, tensions rise as well.

This week, Hyundai workers voted decisively to authorize a strike amid stalled negotiations, bringing robots into the spotlight for the first time.

Workers are not only advocating for better pay. They want guarantees about how AI and robots will be integrated into workplaces, emphasizing their right to participate in discussions before machines take over human tasks.

The conflict centers around Atlas, a humanoid robot developed by Boston Dynamics, a Hyundai subsidiary. While company executives present Atlas as a tool for dangerous or repetitive tasks, union leaders perceive it as a potential threat to job security.

This situation highlights a broader contradiction many advanced economies face.

Countries like South Korea are in desperate need of automation due to declining birth rates and an aging populace, which creates a labor shortage that robots might eventually address.

However, workers in the most precarious roles deserve assurance that technological advancements won’t displace them.

Child’s Play

As things stand, even the most sophisticated robots struggle with tasks that young children find easy.

Simple actions like locating a coffee pot, identifying its handle, lifting it properly, and pouring without spills are surprisingly challenging for these machines.

The real stumbling block isn’t technology; it’s experience.

While engineers can design advanced robotic bodies and clever AI, they can’t replicate the life experiences that help humans learn to navigate the physical world effortlessly. Like children taking their first steps or apprentices mastering a skill, robots learn best through repeated practice in real-life settings.

China: Fostering Experience

While South Korea leads in robot density, China dwarfs it in scale.

With an anticipated 2.027 million industrial robots operating in 2024, China will introduce an additional 295,000 robots that year alone, accounting for over half of global demand.

This massive scale gives the Chinese government an edge in the evolving AI landscape.

Unlike text-based AI models, humanoid robots require hands-on learning. Each object handled, obstacle encountered, and task accomplished provides essential data to improve future robotics.

China boasts more real-world training environments than any other nation.

This urgency is also tied to demographic challenges. Following years of a one-child policy, China faces a rapidly aging population. Its workforce is expected to shrink significantly, threatening the manufacturing base that spurred its growth.

Deploying humanoid robots could provide a remedy. Each robot introduced today serves as a teacher for tomorrow’s, creating a cycle where increased usage gathers more knowledge and enhances AI development.

India: Supplying Trainers

If South Korea crafts the machines and China operates them, India is questioning who benefits from the insights fueling this evolution.

Across the nation, workers in various roles—factories, construction, and even households—are instructed to wear cameras as they perform everyday tasks.

Every subtle gesture is recorded, from a tailor’s intricate stitching to how a mason carries a brick.

This collection of “egocentric data” has become invaluable.

Many workers are reportedly unaware of the purpose behind these recordings. Initially, they laughed at the cameras, but anxiety soon replaced amusement as they realized they were training machines that might replace them in the future.

Labor advocates are raising critical questions. If a worker’s skills are transformed into a lucrative AI dataset, should that worker benefit?

Is consent genuine if refusal could jeopardize their livelihoods?

Who retains ownership of the years of expertise once it’s embedded in a commercial AI dataset?

For perhaps the first time, ordinary routines are becoming economically valuable.

Tasks once dismissed, such as skilfully carrying fragile objects or preparing meals, are emerging as crucial teaching materials for advanced robots.

It is estimated that it could take an overwhelming 100 million hours of first-hand human activity for machines to replicate human dexterity.

The irony is striking. As AI becomes more advanced, scientists are discovering just how complex it is to imitate the simple skills of everyday humans.

We Are Robots

The narrative around the AI revolution often frames it as a battle between silicon and the human form. Instead, we’re learning just how remarkable ordinary people really are.

Machines lack the innate understanding humans possess—like how to balance while walking on uneven ground or how to hold an egg without breaking it.

These forms of wisdom are products of years spent living as humans.

Christian beliefs emphasize that humans are more than mere thinkers; they actively shape their environment, nurture relationships, and take on responsibilities.

These activities are central to how we express creativity and care.

One of the unexpected consequences of the AI revolution could be a renewed appreciation for the dignity found in everyday jobs, even those that technology attempts to replace.