Will AI replace radiologists?
Not entirely. Parts of the job are likely to change as AI takes over routine tasks. Radiologists score 49 out of 100 (elevated exposure), #255 of 923 US jobs. AI could speed up 29 of the job's 30 tasks, 0 of them on its own, while 1 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.
Which radiologists tasks can AI do?
The most exposed tasks include "Obtain patients' histories from electronic records, patient interviews, dictated reports, or by communicating with referring clinicians"; "Prepare comprehensive interpretive reports of findings"; "Perform or interpret the outcomes of diagnostic imaging procedures including magnetic resonance imaging (MRI), computer tomography (CT), positron emission tomography (PET), nuclear cardiology treadmill studies, mammography, or ultrasound".
Which radiologists tasks are hardest for AI?
Tasks with little or no AI speed-up include "Administer radioisotopes to clinical patients or research subjects".
Are people already using AI for this work?
Yes. In April–May 2026, 3 of the 30 tasks showed up in real conversations with Claude, according to the Anthropic Economic Index.
How many people work as radiologists, and what do they earn?
About 26,770 people in the US, with median pay of $420,860 a year (BLS, May 2025).