가정의학과 의사
한국에서 가정의학과 의사는 환자의 건강을 종합적으로 관리하는 중요한 역할을 합니다. 그들은 질병 예방, 진단 및 치료를 담당하며, 지역 사회의 건강을 지키는 데 기여합니다. 영국 학위를 소지하면 높은 수준의 교육과 임상 경험이 인정받아 취업 시장에서 경쟁력을 갖출 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 | 14% | 27% | 42% | 54% |
| Number of jobs | 98-105% | 95-105% | 88-105% | 72-95% |
| How hard to get in | B - achievable | B - achievable | B - achievable | C - hard |
| Job security | Strong | Strong | Holding | Law's call |
Right now, AI can already do about 14% of the day-to-day work in this job, and by 20 years from now that could be around 54%. There are likely to be a similar number of of these jobs over time, very roughly 72-95% of the 2024 number, 20 years out. Getting your first job here is fairly easy today, and it looks set to get harder. The law requires human oversight. That human could be you.
What happens, and when
AI can already do about 27% of this job at this horizon, and the number of these roles is projected at roughly 95-105% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Strong.
AI can already do about 42% of this job at this horizon, and the number of these roles is projected at roughly 88-105% of the 2024 total. Getting in is graded B - achievable, and job security here is rated Holding.
AI can already do about 54% of this job at this horizon, and the number of these roles is projected at roughly 72-95% of the 2024 total. Getting in is graded C - hard, and job security here is rated Law's call.
How to aim for this career
A professional qualification or registration is the real protection here. Find out which body governs this career and start working towards what it requires.
Practise explaining decisions clearly and owning the outcome. Being the person who signs off is the actual job.
AI can draft and check work, but someone has to be legally responsible for it. Build the judgement to catch what it gets wrong.
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.