Share and intensity of work current AI systems can materially affect.
SOC 29-2034
Radiologic Technologists and Technicians AI displacement risk
AI image analysis anxiety targets radiologists more than technologists. Patient positioning, radiation safety, equipment operation, and image quality judgment are licensed, hands-on tasks where AI serves as a second reader rather than a replacement.
Likely potential for exposed tasks to move to software after workflow integration.
AI reading tools change what radiologists do with images, but someone must still position patients, manage dose, and produce diagnostic-quality scans. Workflow and licensure anchor this role.
Distribution
Where Radiologic Technologists and Technicians sits across 620 tracked roles
Displacement pressure 28 — higher than 43% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 29-2034. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $80,110 (May 2025, US national). The latest BLS row matched SOC 29-2034.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Radiologic Technologists and Technicians
SOC 29-2034 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 28/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Radiologic Technologists and Technicians
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC29-2034
- Core task / ID 22808
Explain procedures and observe patients to ensure safety and comfort during scan.
- Core task / ID 22805
Process exposed radiographs using film processors or computer generated methods.
- Core task / ID 22820
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 task / ID 22819
Record, process, and maintain patient data or treatment records and prepare reports.
- Core task / ID 22826
Prepare contrast material, radiopharmaceuticals, or anesthetic or antispasmodic drugs under the direction of a radiologist.
- Core task / ID 22822
Complete quality control activities, monitor equipment operation, and report malfunctioning equipment to supervisor.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Position patients and equipment
Exposure 16, automation 5%, augmentation 24%.
O*NET evidence: Position patient on examining table and set up and adjust equipment to obtain optimum v... (ID 22804)
Evaluate image quality
Exposure 46, automation 24%, augmentation 58%.
Apply radiation safety measures
Exposure 26, automation 8%, augmentation 40%.
O*NET evidence: Use radiation safety measures and protection devices to comply with government regulati... (ID 22806)
Explain procedures and monitor patients
Exposure 22, automation 6%, augmentation 34%.
O*NET evidence: Explain procedures and observe patients to ensure safety and comfort during scan. (ID 22808)
TaskExposureAutomationAugmentation
Position patients and equipment165%24%
Evaluate image quality4624%58%
Apply radiation safety measures268%40%
Explain procedures and monitor patients226%34%
Transition pathways
Adjacent moves that preserve existing skills
credentialed transition
LowMRI Technologist
Training horizon: 6-12 months. Skill overlap 74. Wage preservation signal 112.
- Complete MRI clinical training
- Study cross-sectional anatomy
- Earn advanced modality certification
role redesign
LowImaging Informatics Specialist
Training horizon: 6-12 months. Skill overlap 60. Wage preservation signal 110.
- Learn PACS administration
- Audit AI flagging accuracy
- Manage imaging data workflows
Comparison guides
Compare the next move before you commit
6-12 months
Radiologic Technologists and Technicians to MRI Technologist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Radiologic Technologists and Technicians into MRI Technologist.
6-12 months
Radiologic Technologists and Technicians to Imaging Informatics Specialist
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Radiologic Technologists and Technicians into Imaging Informatics Specialist.
What the AI risk score means for Radiologic Technologists and Technicians
The displacement pressure score for Radiologic Technologists and Technicians is 28. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Evaluate image quality carries 24% automation pressure, while Evaluate image quality carries 58% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $80,110 (May 2025, US national). Employment context: Licensed imaging role with steady diagnostic demand. Typical education: Associate degree plus state licensure or certification.
Wage vulnerability is 36, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- AI augments reading, not scanning
- Licensure anchors the role
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Radiologic Technologists and Technicians, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Imaging equipment operation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Radiation safety
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Patient positioning
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
AI image-quality review
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to MRI Technologist, such as complete mri clinical training.
- By 90 days, compare internal openings and external postings for MRI Technologist or Imaging Informatics Specialist and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Radiologic Technologists and Technicians
Will AI replace Radiologic Technologists and Technicians?
AI image analysis anxiety targets radiologists more than technologists. Patient positioning, radiation safety, equipment operation, and image quality judgment are licensed, hands-on tasks where AI serves as a second reader rather than a replacement. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Radiologic Technologists and Technicians work are most exposed to AI?
Evaluate image quality and Apply radiation safety measures show the strongest automation pressure in this model. Evaluate image quality and Apply radiation safety measures are better treated as AI-augmented work.
What should Radiologic Technologists and Technicians learn next?
Start with Imaging equipment operation, Radiation safety, Patient positioning. The most practical adjacent paths in this model are MRI Technologist and Imaging Informatics Specialist.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics