Verdict
Radiologic Technologists and Technicians and Radiologist are effectively tied on AI exposure (40 vs 41). Choose on pay, interest and entry cost — not on automation risk.
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 | Radiologic Technologists and Technicians | Radiologist |
|---|---|---|
| AI Fear Score | 40/100 | 41/100 |
| Risk band | Watch | Watch |
| Automation probability | 40% | 30% |
| LLM task exposure | 40% | 55% |
| Median pay (BLS) | $77,660 | $300,000 |
| US workers | 223,460 | 30,000 |
| Timeline | 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. | 5–10 years — AI assists reads; accountability and edge cases stay with MDs. |
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: Interventional radiologist, Clinical AI lead. See the full plan →
They're effectively tied: Radiologic Technologists and Technicians scores 40/100 and Radiologist scores 41/100 on our AI exposure scale.
Radiologist pays more at the median: $300,000 vs $77,660 (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.