As of August 2026, Radiologic Technologists and Technicians has an AI-exposure score of 55/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

Radiologic Technologists and Technicians

55/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 46% of the roles we track. Median pay ~US$80,110. About 12,900 projected openings a year (BLS 2024–34 - growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.

Will AI replace Radiologic Technologists and Technicians?

No exposure score can predict whether AI will replace this role. The 55/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role's task mix is automation-heavy, but it sits in the Elevated exposure band rather than our highest-exposure bands. That is only a partial match to the study's cohort, so the headline figure is context rather than a direct forecast for this role.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 exact occupation

Take x-rays and CAT scans or administer nonradioactive materials into patient's bloodstream for diagnostic or research purposes. Includes radiologic technologists and technicians who specialize in other scanning modalities.

Common titles
Computed Tomography Technologist (CT Tech)RadiographerRadiologic Technologist (RT)X-Ray Technologist (X-Ray Tech)Diagnostic Radiologic Technologist (DRT)Imaging Technologist (Imaging Tech)
O*NET job-zone preparation
Job Zone 3 · Medium Preparation Needed Most occupations in this zone require training in vocational schools, related on-the-job experience, or an associate's degree. Previous work-related skill, knowledge, or experience is required for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Social PerceptivenessReading ComprehensionService OrientationSpeakingMonitoringCritical Thinking
Work context
Frequent contact with othersIndoor controlled settingDecision latitudeRepeating tasksConsequence of error

Source: O*NET 29.1 exact occupation - Radiologic Technologists and Technicians, SOC 29-2034.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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Radiologic Technologists and Technicians tasks, by AI exposure

Automatable
  • Key commands and data into computer to document and specify scan sequences, adjust transmitters and receivers, or photograph certain images.
  • Make exposures necessary for the requested procedures, rejecting and repeating work that does not meet established standards.
  • Review and evaluate developed x-rays, video tape, or computer-generated information to determine if images are satisfactory for diagnostic purposes.
16 more automatable tasks locked in the report.
Augmentable
  • Determine patients' x-ray needs by reading requests or instructions from physicians.
Durable

No durable tasks identified for this role - its individually-assessed tasks split 95% automatable / 5% augmentable.

We analyzed all 20 Radiologic Technologists and Technicians tasks - 19 automatable and 1 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.

Cardiovascular Technologists and Technicians
80% skills overlap; 4 points higher - similar exposure within the 5-point model resolution; Elevated band; ~US$74,310
View path
59
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Key commands and data into computer to document and specify scan sequences, adjust transmitters and receivers, or photograph certain images.

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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Radiologic Technologists and Technicians - median pay by US state (BLS OEWS, USD)

California: US$121,260New York: US$98,470Texas: US$78,630Florida: US$76,750

Median annual wage, in USD. US national: US$80,110. More states are being added.

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