AI Job Risk in South Korea
South Korea combines fast-moving manufacturing, technology, and service sectors, and that tends to make AI adoption visible relatively early. Even so, responsibility for quality and delivery remains strong, so the gap between efficiency gains and real-world operational judgment often stands out clearly.
Average AI Risk
45.25 / 100
Jobs Analyzed
204
How to read this page in practice
The notes below explain how to interpret the country score, what kinds of sector mix usually raise or lower it, and what this comparison can and cannot tell you.
How to Read This Country
This country page becomes clearer when it shows where fast digitalization collides with responsibility for quality and delivery. South Korea carries significant weight in manufacturing, technology, and services, and its pace of digitization is high. That makes the difference between work that is easy to streamline and work that still depends on quality control and on-the-ground judgment easier to see than in many slower-moving markets.
What Drives the Score
Administrative work, comparison, development support, and monitoring are all well matched to AI support in South Korea. At the same time, manufacturing quality, field maintenance, and face-to-face service work keep more room for human judgment and response. The faster the market moves, the more clearly the burden of exception handling tends to appear.
What Holds Up Better
What remains strongest in South Korea is work that has to balance quality with delivery speed. Even as automation advances, work that decides what to prioritize and where to stop or intervene on the ground tends to remain with people.
What This Page Does Not Claim
The average score shows a broad national pattern, but it does not absorb the difference between urban knowledge work and field-based operational jobs. You need to read the pace of efficiency gains together with the way responsibility persists on the ground.
Jobs Most At Risk from AI
This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Data Entry Clerk | 81 |
| 2 | Retail Cashier | 78 |
| 3 | Software Tester | 77 |
| 4 | Truck Driver | 77 |
| 5 | Bookkeeper | 77 |
| 6 | Data Analyst | 76 |
| 7 | Accounting Clerk | 76 |
| 8 | Proofreader | 75 |
| 9 | Translator | 73 |
| 10 | Insurance Underwriter | 73 |
| 11 | Civil Drafter | 73 |
| 12 | Taxi Driver | 71 |
| 13 | QA Engineer | 69 |
| 14 | Bank Teller | 69 |
| 15 | Mobile App Developer | 68 |
| 16 | Tax Preparer | 68 |
| 17 | System Administrator | 67 |
| 18 | Train Operator | 67 |
| 19 | Software Engineer | 66 |
| 20 | Surveying Technician | 64 |
Jobs Safest from AI
This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.
| Rank | Job | Risk Score |
|---|---|---|
| 1 | Surgeon | 10 |
| 2 | Therapist | 11 |
| 3 | Plumber | 11 |
| 4 | Psychologist | 12 |
| 5 | Electrician | 12 |
| 6 | Paramedic | 14 |
| 7 | Nurse | 15 |
| 8 | Dentist | 15 |
| 9 | School Counselor | 16 |
| 10 | Psychiatrist | 16 |
| 11 | Veterinarian | 17 |
| 12 | Professor | 18 |
| 13 | Doctor | 19 |
| 14 | Machine Learning Engineer | 20 |
| 15 | Air Traffic Controller | 20 |
| 16 | Social Worker | 20 |
| 17 | Elevator Technician | 21 |
| 18 | Aircraft Mechanic | 22 |
| 19 | Teacher | 22 |
| 20 | Astronomer | 22 |
Industry Risk
This table compares the industries that shape the country score today. It is most useful for seeing which parts of the economy pull the average up or down.
| Industry | Industry Average Risk Score |
|---|---|
| Media | 62.33 |
| Retail | 61.5 |
| Finance | 59.47 |
| Technology | 52.22 |
| Transportation | 45.3 |
| Manufacturing | 41.13 |
| Energy | 37.33 |
| Construction | 34.33 |
| Education | 31.67 |
| Science | 31.33 |
| Healthcare | 26.2 |