Will AI replace radiologic technologists and technicians?
Unlikely. Most of the work is hard for today's AI to speed up. Radiologic Technologists and Technicians score 38 out of 100 (moderate exposure), #446 of 923 US jobs. AI could speed up 23 of the job's 30 tasks, 0 of them on its own, while 7 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which radiologic technologists and technicians tasks can AI do?
The most exposed tasks include "Position imaging equipment and adjust controls to set exposure time and distance, according to specification of examination"; "Monitor patients' conditions and reactions, reporting abnormal signs to physician"; "Explain procedures and observe patients to ensure safety and comfort during scan".
Which radiologic technologists and technicians tasks are hardest for AI?
Tasks with little or no AI speed-up include "Position patient on examining table and set up and adjust equipment to obtain optimum view of specific body area as requested by physician"; "Prepare contrast material, radiopharmaceuticals, or anesthetic or antispasmodic drugs under the direction of a radiologist"; "Operate mobile x-ray equipment in operating room, emergency room, or at patient's bedside".
Are people already using AI for this work?
Yes. In April–May 2026, 1 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as radiologic technologists and technicians, and what do they earn?
About 230,490 people in the US, with median pay of $80,110 a year (BLS, May 2025).