지역 건강 활동가
한국에서 지역 건강 활동가는 지역 사회의 건강을 증진하는 데 중요한 역할을 합니다. 이들은 특히 의료 자원이 부족한 지역에서 건강 교육 및 예방 활동을 수행하며, 주민들의 건강 인식을 높이는 데 기여합니다. 영국 학위를 소지하면 국제적인 관점과 질 높은 교육을 받은 증거가 되어 다른 후보자들과 차별화될 수 있습니다.
How this job changes over time
Our best estimates, shown as ranges and grades, not exact predictions.
| WHAT CHANGES | Now | 5 yrs | 10 yrs | 20 yrs |
|---|---|---|---|---|
| Tasks AI can do | 10% | 22% | 30% | 40% |
| Number of jobs | 100-108% | 98-112% | 95-115% | 85-115% |
| How hard to get in | A - easy | B - achievable | B - achievable | B - achievable |
| Job security | Strong | Strong | Strong | Holding |
Right now, AI can already do about 10% of the day-to-day work in this job, and by 20 years from now that could be around 40%. There are likely to be a similar number of of these jobs over time, very roughly 85-115% of the 2024 number, 20 years out. Getting your first job here is easy today, and it looks set to get harder. People want a real person for this. That preference is the protection.
What happens, and when
AI can already do about 22% of this job at this horizon, and the number of these roles is projected at roughly 98-112% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Strong.
AI can already do about 30% of this job at this horizon, and the number of these roles is projected at roughly 95-115% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Strong.
AI can already do about 40% of this job at this horizon, and the number of these roles is projected at roughly 85-115% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Holding.
How to aim for this career
People choose this career for the person, not the software. Work on communication, empathy and reliability early.
Volunteering, part-time work and clubs all build the skill this job actually needs: being good with people, in person.
Use it to speed up the admin around the role, so there is more time left for the part only a person can do.
Careers that use similar skills, and hold
Worth a look if you like the sound of this path. Each one has something this job does not: a moat.
Sources: exposure figures from Anthropic labour market research (2026), observed real-world AI usage by occupation. Job-security forecast from OpenAI, "The AI Jobs Transition Framework" (Richmond, 2026, OpenAI Economic Research), CC BY 4.0. Grades and verdicts are Careermash editorial judgment: we show forecasts as forecasts and own our conclusions.