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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
58.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
AI Resilience Report forRadiologic Technologists and Technicians
Radiologic Technologists and Technicians are somewhat more resilient to AI impacts than most occupations, according to our analysis of 6 sources.
The career of a Radiologic Technologist is labeled as "Mostly Resilient" because while AI can help with some routine tasks like improving image quality or moving supplies, the essential duties still require human skills. Setting up rooms, positioning patients, and using judgment to ensure safety are tasks that machines can't fully handle yet.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
The career of a Radiologic Technologist is labeled as "Mostly Resilient" because while AI can help with some routine tasks like improving image quality or moving supplies, the essential duties still require human skills. Setting up rooms, positioning patients, and using judgment to ensure safety are tasks that machines can't fully handle yet.
Read full analysisAnalysis of Current AI Resilience
Radiologic Techs
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Radiologic Techs jobs?
In radiology, some simple tasks are being helped by AI or robots, but most still need people. For example, researchers note that new service robots can carry patients (or wheelchairs) and supplies so nurses can focus on care [1]. In real life, one hospital uses a smart robot called Moxi to deliver pharmacy items around campus, letting staff avoid thousands of extra steps each day [2].
Scanning work is also seeing AI use. Studies show AI software can automatically clean up CT or MRI images (making them sharper and allowing lower radiation doses) [3]. Hospitals are also testing “virtual nurse” programs: an AI assistant that can call patients, answer common questions, and help with appointment prep [4].
Even so, many radiologic technologist duties remain hands-on. Setting up the X-ray or MRI room correctly (moving heavy equipment and positioning patients) requires a human’s careful skill. Putting on radiation shields and helping steady the patient are too sensitive for current bots.
Teaching students or other techs new tricks needs human experience and feedback. In short, machines and AI are starting to augment the work (help with routine parts like moving things or checking images), but most tasks still rely on the radiologic technologist’s personal care and judgment [3] [1].
Sources
How fast is AI adoption growing for Radiologic Techs?
Hospitals adopt new AI tools slowly for good reasons. On one hand, staff shortages and busy schedules make AI appealing. A Children’s Hospital executive said they welcome useful new technology because “there’s not enough time for our team members… to do everything” on their plates [2].
Robots and intelligent tools can save effort (for example, an AI assistant was advertised as working at a lower hourly cost than a human nurse [4]) and help overworked teams focus on patients. But on the other hand, safety and trust are key in medicine. Any AI system must be proven very reliable before hospitals will use it without a person checking it.
Nursing groups warn that over-reliance on AI could hurt care quality [4]. Also, expensive equipment and training costs make hospitals move carefully.
Overall, AI is gradually finding a place as a helper in radiology. Young people entering the field should know that machines may take over some routine chores (like fetching items or adjusting images automatically), but the human skills of caring, safely handling patients, and teaching others will remain vital [1] [4]. Radiologic technologists who stay curious about AI and focus on patient care are likely to work with these new tools, not be replaced by them.
Sources
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More Career Info
Career: Radiologic Technologists and Technicians
They use special machines to take pictures of the inside of your body, helping doctors find out what's wrong and how to treat it.
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Employment & Wage Data
Median Wage
$77,660
Jobs (2024)
228,000
Growth (2024-34)
+4.3%
Annual Openings
12,900
Education
Associate's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Use beam-restrictive devices and patient-shielding techniques to minimize radiation exposure to patient and staff.
2
Provide students or other technicians with suggestions of additional views, alternate positioning, or improved techniques to ensure the images produced are of the highest quality.
3
Remove and process film.
4
Perform administrative duties, such as developing departmental operating budget, coordinating purchases of supplies or equipment, or preparing work schedules.
5
Position and immobilize patient on examining table.
6
Prepare and set up x-ray room for patient.
7
Assist with on-the-job training of new employees or students or provide input to supervisors regarding training performance.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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