Can AI Replace Radiologists in 2026?

Moderate exposure. AI could handle about 79% of today's radiologists tasks by 2036, and there is a 32% chance the number of jobs falls by a fifth or more. AI is likely to take over many tasks outright.

See how not to be replaced

Timeline

Year2030

Tasks AI can do

38%

Headcount (2025 = 100)

Chance of 20%+ fewer jobs

12% 2030 · 32% 2036

One person could cover, 2036

2.4 roles

Share of today's tasks AI can perform

Headcount index, 2025 = 100 (dashed line)

Your survival map

Not every part of your job is at the same risk. Tap a number to see what to do about each task.

Your human coreDo it with AIHand to AI

Tap a number on the map or a task below.

Lower-risk jobs that use similar skills

Neurologists20% risk by 2036 Nuclear Medicine Technologists9% risk by 2036 Medical Dosimetrists16% risk by 2036

Your plan

Ticks are saved in this browser only.

Try an AI tool on one task you'd normally do by hand: "Prepare comprehensive interpretive reports of findings".Learn one AI tool well enough to show it in an interview, for: "Develop or monitor procedures to ensure adequate quality control of images".Get visibly better at your human core: "Administer radioisotopes to clinical patients or research subjects".Rewrite the top of your CV around judgment, people and decisions, not routine output.Read about a lower-risk move: Neurologists.

Lower-risk jobs with similar tasks

Neurologists — 20% chance of contraction by 2036
Nuclear Medicine Technologists — 9% chance of contraction by 2036
Medical Dosimetrists — 16% chance of contraction by 2036

Similar occupations

Radiologic Technologists and Technicians · Magnetic Resonance Imaging Technologists · Genetic Counselors · Naturopathic Physicians

Based on 30 O*NET tasks for "Radiologists" (SOC 29-1224.00). LLM alone: 0% of tasks; with AI tools: 98%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10