BETA
Updated: Mar 24
BETA
Updated: Mar 24
Evolving
Last Update: 3/13/2026
Your role’s AI Resilience Score is
57.7%
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
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.
This role is evolving
The career of a Radiologic Technologist is labeled as "Evolving" because AI is starting to help with some routine tasks, like cleaning up images or moving items around the hospital. However, important parts of the job, like setting up equipment and caring for patients, still need the special touch and judgment of a human.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of a Radiologic Technologist is labeled as "Evolving" because AI is starting to help with some routine tasks, like cleaning up images or moving items around the hospital. However, important parts of the job, like setting up equipment and caring for patients, still need the special touch and judgment of a human.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Evolving68.8%
68.8%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Evolving67.1%
67.1%
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Evolving45.1%
45.1%
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Evolving50.7%
50.7%
Medium Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
4.3%
Growth Percentile:
66.2%
Annual Openings:
12,900
Annual Openings Pct:
58.2%
Analysis of Current AI Resilience
Radiologic Techs
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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
AI in the real world
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
Parent Careers
Similar Careers
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
Set up examination rooms, ensuring that all necessary equipment is ready.
2
Use beam-restrictive devices and patient-shielding techniques to minimize radiation exposure to patient and staff.
3
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.
4
Position and immobilize patient on examining table.
5
Maintain a current file of examination protocols.
6
Explain procedures and observe patients to ensure safety and comfort during scan.
7
Provide assistance in dressing or changing seriously ill, injured, or disabled patients.
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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