South Koreans are using AI harder than almost anyone on earth, and they’re scared of it at the same time. That contradiction sits at the center of a new on-the-ground report from MIT Tech Review, which traces how a country obsessed with staying ahead has turned AI into both a national project and a personal coping mechanism. The numbers back up the obsession: MIT Tech Review notes South Korea now ranks third in the world for the number of notable AI models, measured by benchmarks like state-of-the-art advances and citation rates.
For a country its size, that’s a remarkable show of force. AI gives smaller nations a way to punch above their weight, and South Korea has gone all in.
The trend: adoption without reflection
What stands out here is the speed. South Korea’s national agenda treats AI as an economic engine first, and that single focus is producing results. But it’s also crowding out the harder questions.
“Because the national agenda on AI prioritizes economic development,” says Jeon, a professor of science and technology policy quoted by MIT Tech Review, “there isn’t much reflection on the social, political, ethical dimensions of the technology.”
That blind spot already has a price tag. In 2025, the government rolled out AI textbooks stuffed with factual errors and data privacy holes, and it did so without a pilot program to check how they’d affect actual student learning. The backlash was fierce. When you move this fast, mistakes don’t stay theoretical for long.
The fear underneath the enthusiasm
Here’s the part that complicates the success story. South Koreans are genuinely worried AI is coming for their jobs.
MIT Tech Review reports that when Hyundai announced in January it would deploy Atlas humanoid robots across its car factories, the Hyundai Motor Group union pushed back hard. “Without labor-management agreement, not a single robot using new technology will be allowed to enter the workplace,” the union said.
The survey data tells the same split story:
- 64% of South Koreans fear AI could displace workers and widen inequality
- 52% believe it could also boost productivity
- 46% of people in their 20s have used a chatbot to read their fortunes, according to Korea Gallup
That last number is the one that lingers. MIT Tech Review’s reporter describes a night out with her cousin, a 29-year-old insurance agent who asks ChatGPT about her saju, a traditional fortune-telling practice, and leans on it for stock-trading tips and dating advice. The chatbot, she says, feels like a portal to a better future. She also fears it’ll take her job, and uses it constantly at work anyway because everyone else does. “I sometimes fear AI, but for now, it’s just so useful,” she said.
Why it matters now
South Korea is a preview of where heavy-adoption markets are heading. The same forces showing up there, economic pressure, status anxiety, and a workforce that adopts tools out of fear of falling behind, are building everywhere AI lands fast.
The textbook fiasco is the real lesson. Speed without testing isn’t a shortcut, it’s a deferred bill. A government that skipped the pilot ended up with a public trust problem instead.
Practical takeaways
For businesses and practitioners watching this play out:
- Pilot before you scale. South Korea’s textbook rollout failed on a step that costs little and saves reputations. Test AI tools on a small group, measure real outcomes, then expand.
- Bring labor into the room early. Hyundai’s union didn’t block automation out of nowhere. Deployments that skip the agreement stage invite the fight Hyundai got.
- Watch the consumer signal. When nearly half of young adults are asking chatbots about their futures, the demand for AI as a personal advisor, in finance, dating, and career, is real and underserved. That’s a product opportunity wrapped in a duty of care.
- Separate hype from reflection internally. The countries and companies that win long-term will be the ones that move fast and keep asking the ethical questions, not one or the other.
South Korea proves you can lead the world on AI capability and still be unsettled by what you’ve built. The open question is whether that unease turns into better guardrails, or just gets drowned out by the next benchmark. Full reporting, including the street-level detail, is worth reading at the original MIT Tech Review source.