Will AI replace nuclear medicine technologists?
Unlikely. Most of the work is hard for today's AI to speed up. Nuclear Medicine Technologists score 29 out of 100 (moderate exposure), #533 of 923 US jobs. AI could speed up 9 of the job's 17 tasks, 1 of them on its own, while 8 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which nuclear medicine technologists tasks can AI do?
The most exposed tasks include "Calculate, measure, and record radiation dosage or radiopharmaceuticals received, used, and disposed, using computer and following physician's prescription".
Which nuclear medicine technologists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Administer radiopharmaceuticals or radiation intravenously to detect or treat diseases, using radioisotope equipment, under direction of a physician"; "Prepare stock radiopharmaceuticals, adhering to safety standards that minimize radiation exposure to workers and patients"; "Perform quality control checks on laboratory equipment or cameras".
Are people already using AI for this work?
Yes. In April–May 2026, 3 of the 17 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as nuclear medicine technologists, and what do they earn?
About 17,080 people in the US, with median pay of $101,370 a year (BLS, May 2025).