Verdict
Medical Assistant and Radiologic Technologists and Technicians are effectively tied on AI exposure (37 vs 40). Choose on pay, interest and entry cost — not on automation risk.
Healthcare
37 /100
Handles clinical and admin tasks in clinics.
Full risk profile →Healthcare
40 /100
AI is already FDA-approved to detect fractures on X-rays, but patient positioning and equipment operation are irreducibly hands-on.
Full risk profile →| Metric | Medical Assistant | Radiologic Technologists and Technicians |
|---|---|---|
| AI Fear Score | 37/100 | 40/100 |
| Risk band | Watch | Watch |
| Automation probability | 30% | 40% |
| LLM task exposure | 45% | 40% |
| Median pay (BLS) | $42,000 | $77,660 |
| US workers | 780,000 | 223,460 |
| Timeline | Admin parts automate; hands-on clinical support endures. | FDA-cleared AI detection tools for common fractures and pathologies will become routine within 3–5 years; technologists who handle complex positioning and multi-modality imaging will see the least disruption. |
For long-tail occupations the two research anchors share a single AI-reviewed exposure estimate — see the methodology.
The usual pivots that reuse your experience while cutting exposure: CT or MRI technologist, Interventional radiology technologist, Radiology clinical educator. See the full plan →
They're effectively tied: Medical Assistant scores 37/100 and Radiologic Technologists and Technicians scores 40/100 on our AI exposure scale.
Radiologic Technologists and Technicians pays more at the median: $77,660 vs $42,000 (BLS May 2024).
Scores are estimates, not predictions — two research anchors applied to task mixes, with BLS May-2024 wages and employment. Not career advice.