Radiologic Technologists and Technicians: daily tasks & AI impact
This page breaks Radiologic Technologists and Technicians into the top 15 daily O*NET tasks and scores each for Generative AI automation probability. Those task scores roll up to an overall vulnerability index of 26/100 (Moderate automation risk). Struck-through rows are ≥80% automatable; highlighted safer rows are under 30% or primarily physical.
High-automation exposure
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Durable human work
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.
| Task | Importance | AI probability | Nature |
|---|---|---|---|
| Position imaging equipment and adjust controls to set exposure time and distance, according to specification of examination. Core | 4.95 | — | — |
| Position patient on examining table and set up and adjust equipment to obtain optimum view of specific body area as requested by physician. Core | 4.94 | — | — |
| Monitor patients' conditions and reactions, reporting abnormal signs to physician. Core | 4.92 | — | — |
| Explain procedures and observe patients to ensure safety and comfort during scan. Core | 4.91 | — | — |
| Use radiation safety measures and protection devices to comply with government regulations and to ensure safety of patients and staff. Core | 4.89 | — | — |
| Review and evaluate developed x-rays, video tape, or computer-generated information to determine if images are satisfactory for diagnostic purposes. Core | 4.89 | — | — |
| Determine patients' x-ray needs by reading requests or instructions from physicians. Core | 4.88 | — | — |
| Prepare contrast material, radiopharmaceuticals, or anesthetic or antispasmodic drugs under the direction of a radiologist. Core | 4.79 | — | — |
| Process exposed radiographs using film processors or computer generated methods. Core | 4.77 | — | — |
| Operate mobile x-ray equipment in operating room, emergency room, or at patient's bedside. Core | 4.74 | — | — |
| Make exposures necessary for the requested procedures, rejecting and repeating work that does not meet established standards. Core | 4.73 | — | — |
| Operate or oversee operation of radiologic or magnetic imaging equipment to produce images of the body for diagnostic purposes. Core | 4.73 | — | — |
| Operate digital picture archiving communications systems. Core | 4.67 | — | — |
| Perform procedures, such as linear tomography, mammography, sonograms, joint and cyst aspirations, routine contrast studies, routine fluoroscopy, or examinations of the head, trunk, or extremities under supervision of physician. Core | 4.64 | — | — |
| Provide assistance to physicians or other technologists in the performance of more complex procedures. Core | 4.58 | — | — |
What remains human
No tasks currently fall under the safe threshold for this occupation.
FAQ
Which Radiologic Technologists and Technicians tasks are most exposed to AI?
No task in this set currently exceeds the 80% threshold, so risk is spread across moderate probabilities rather than a few catastrophic duties.
Which Radiologic Technologists and Technicians tasks are safest from Generative AI?
This profile has little “safe” task mass under our thresholds. Workers should treat AI fluency as mandatory and actively map transferable skills into lower-risk roles.
How should I read the Radiologic Technologists and Technicians task table?
Importance comes from O*NET incumbent ratings. Automation probability is model-generated for current Generative AI capability (not speculative AGI). Digital / physical / mixed labels describe the modality of the work, which strongly correlates with near-term automation potential.