Automation Risk
Each occupation shows an average probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
| 요약 |
낮은 위험
35%
(계산된 평균 및 투표)
|
| 직업 점수 | 6.6/10 |
| 계산된 |
39%
(낮은 위험)
|
| 투표 조사 |
31%
(낮은 위험,
27 표를 기준으로)
|
|
성장
년도별 2033
|
60.1%
|
| 임금 |
$61,770
또는 시간당 $29.69
|
|
볼륨
2023 기준으로
|
9,800
|
| 스노우플레이크 |
|
| 설명 | 풍력 터빈을 점검하고 진단하며 조정하거나 수리합니다. 전기, 기계 및 유압 고장을 해결하여 풍력 터빈 장비에 유지 보수를 수행합니다. |
Curious how automation and AI could affect your career? Our comparison tool lets you view two or more jobs side by side, helping you quickly spot differences in risk level, pay, growth, and popularity. All of this is based on a mix of academic research, user polling, and official labour data.
Each occupation shows an average probability of automation. A higher score means machines and algorithms are more likely to take over the role in the future.
A quick summary of how a job performs overall — factoring in wages, growth, volume, and automation risk. It’s a handy way to see the bigger picture at a glance.
Thousands of visitors cast their votes on how “automatable” each job feels. These community insights are shown alongside the calculated probabilities.
See how fast each occupation is projected to grow and what people earn on average. High wages don’t always mean high security — automation risk still matters.
Explore how many people currently work in each occupation and in which year the data was recorded. Popularity can affect how disruptive automation will be for the wider economy.
Each snowflake visualises the balance between automation risk, wages, growth, and job volume. Bigger and greener areas mean stronger performance in that dimension.
Use this comparison page to research careers, guide students, or simply explore the future of work. All data is regularly updated to keep the results relevant.