Radiology has been named as a job AI would take over for years, because so much of it involves looking at images, and image recognition is something AI has become good at. Yet radiologists are still being hired. The evidence on generative AI points to a specialty where AI becomes a tool in the workflow while diagnosis and responsibility stay with doctors.
The short answer: today's data does not point to AI replacing radiologists. Radiologists fall under specialist medical practitioners, which the ILO's 2025 index classes as not exposed to generative AI. US projections expect physician employment to keep growing, and radiologic and MRI technologist jobs to grow faster than average. AI tools are changing how imaging work is organized, but they are not on course to remove the people who answer for the diagnosis. Forecasts can change, and this page is about jobs, not medical advice.
How exposed imaging jobs are
These figures are from the ILO's refined global index of generative AI exposure, which scores tasks from 0 to 1 and sorts occupations into bands from not exposed up to gradient 4, the most exposed.
| Occupation (ISCO-08) | ILO category | Mean task score (0 to 1) |
|---|---|---|
| Specialist Medical Practitioners (includes radiologists) | Not exposed | 0.27 |
| Generalist Medical Practitioners | Not exposed | 0.29 |
| Medical Imaging and Therapeutic Equipment Technicians | Not exposed | 0.22 |
| Medical Records and Health Information Technicians | Gradient 3 | 0.52 |
The ILO index measures exposure to generative AI, such as language and multimodal models, across the whole bundle of tasks in a job. Even where individual tasks could be supported by AI, the job as a whole includes examining patients, consulting colleagues, performing procedures and taking responsibility for decisions. By contrast, the paperwork side of healthcare is much more exposed; see will AI replace medical billing and coding?
What the BLS projects
The US Bureau of Labor Statistics describes radiologists as physicians who review and interpret x rays and other medical images, such as ultrasounds, to diagnose injuries or diseases. It projects overall employment of physicians and surgeons to grow 4 percent from 2025 to 2035, with about 22,100 openings a year (BLS, physicians and surgeons).
For radiologic and MRI technologists, the people who perform the scans, the BLS projects 5 percent growth, faster than average, with about 15,300 openings a year. It links this to the growing older population, the rising prevalence of chronic disease, and imaging needs such as x rays and CT scans after falls and MRI for cancers (BLS, radiologic and MRI technologists).
Where AI fits in imaging work
Hospitals and imaging centers are using AI tools to support parts of the workflow, such as:
- Sorting and prioritizing the queue of studies to read.
- Flagging images for a closer look.
- Taking routine measurements.
- Drafting report text from the radiologist's findings.
- Pulling up and comparing prior studies.
How well a given tool performs, and whether it is cleared for clinical use, depends on the specific product and is a question for its regulator and the clinicians using it, not for this page.
What stays with the radiologist
- The diagnosis and the report: a doctor signs it and answers for it.
- Checking AI suggestions: AI output can be confident and wrong; NIST calls this confabulation in generative AI (NIST AI 600-1). See checking AI output.
- Clinical context: combining images with the patient's history, symptoms and other tests.
- Talking with other doctors about what the images mean for treatment.
- Procedures: image-guided interventions are hands-on work.
What this means for the job
For radiologists, AI is becoming another instrument in the reading room, and the role shifts toward overseeing tools, handling the hard cases and taking responsibility for the result. That is a typical human-in-the-loop pattern. For a wider view of medicine, see will AI replace doctors?
See also will AI take my job?, will AI replace nurses? and jobs least exposed to AI.
Pay and how to get in
The US Bureau of Labor Statistics puts the median annual pay for physicians and surgeons at $275,930 in May 2025, against $50,980 for all workers. Across the 2 BLS occupations this page covers, median pay ranges from $81,390 to $275,930. The typical education needed to enter differs between the 2 BLS occupations this page covers. See how this job compares in AI exposure by pay and AI exposure by education level.
Questions and answers
Will AI replace radiologists?
Current evidence says no. Radiologists fall under specialist medical practitioners, which the ILO classes as not exposed to generative AI, and the BLS projects 4 percent growth for US physicians and surgeons from 2025 to 2035.
How exposed is radiology to AI?
In the ILO 2025 index, specialist medical practitioners score 0.27 and are classed as not exposed to generative AI. Medical imaging technicians score 0.22, also not exposed.
Will AI replace radiologic technologists?
Not on current evidence. The BLS projects 5 percent growth for radiologic and MRI technologists from 2025 to 2035, with about 15,300 openings a year.
How is AI used in radiology?
AI tools support parts of the workflow, such as prioritizing studies, flagging images, taking measurements and drafting report text. The radiologist makes and signs the diagnosis.
Is radiology still a good career?
US projections expect physician and imaging technologist jobs to grow. The role is changing to include overseeing AI tools, but the diagnosis stays with the doctor.