Radiologic and MRI technologists

AI Overlap Index
36.8 / 100
Selectively Exposed

Physical, social, or oversight-heavy work that AI augments rather than replaces.

SOC · Healthcare

Bureau of Labor Statistics
Median pay
$78,980/yr
Hourly
$38/hr
Jobs 2024
272,000
Projected 2034
285,000
10-yr outlook
+5% · Faster than average
Employment change
12,900
Entry education
Associate's degree
SOC code

Signal composition

how the 0-100 score is assembled

Task Automation Impact weight 60%
35.9
contribution to AOI: 21.5
Automation Potential weight 10%
40.0
contribution to AOI: 4.0
Market Pressure weight 15%
30.0
contribution to AOI: 4.5
Entry Barrier Erosion weight 15%
45.0
contribution to AOI: 6.8

By seniority

multiplicative adjustment from category curve

Entry
40.5
mult 1.10x
Mid
36.8
mult 1.00x
Senior
30.2
mult 0.82x

Entry-level roles carry the brunt because they concentrate the most automatable subset of tasks. Senior work is insulated by judgment, relationships, and accountability.

Task-level analysis

scored 0-100 for current-generation AI feasibility, weighted by BLS-stated importance

8 tasks · model: claude-sonnet-4-5-20250929
Supporting t8

Keep detailed patient records

AI can automatically extract patient data, procedure details, and technical parameters from imaging systems and populate electronic health records with high accuracy. This structured documentation task is already being automated in many healthcare settings with minimal human review needed.

BLS evidence: Technologists keep detailed patient records as part of their typical duties.

88
automation
Important t4

Follow physician orders on specific body areas to image

AI systems can already parse physician orders, match them to imaging protocols, and flag ambiguities or contraindications with high accuracy. This is primarily a cognitive task of interpretation and protocol selection that current medical AI handles well with minimal human verification.

BLS evidence: Technologists follow precise orders from physicians on what areas of the body to image.

72
automation
Important t6

Collaborate with physicians to evaluate images and determine need for additional imaging

AI image analysis systems already match or exceed human performance in detecting many pathologies and can recommend additional views based on initial findings. The collaboration aspect requires human oversight, but AI substantially reduces the labor content of image evaluation and protocol adjustment.

BLS evidence: Technologists work with physicians to evaluate the images and to determine whether additional images need to be taken.

68
automation
Core t1

Operate computerized imaging equipment to capture diagnostic images

While AI can assist with image acquisition parameters and quality assessment, operating the physical equipment requires real-time coordination with patient positioning, safety monitoring, and mechanical adjustments in a clinical environment that current robotics cannot reliably handle autonomously.

BLS evidence: Radiologic technologists perform x rays and other diagnostic imaging examinations on patients, and MRI technologists operate magnetic resonance imaging scanners to create diagnostic images.

35
automation
Important t3

Prepare patients for imaging procedures including taking medical history

AI can assist with structured history-taking through conversational interfaces, but preparing anxious patients requires empathetic communication, physical assessment, addressing individual concerns, and building trust in a clinical setting where human presence remains essential.

BLS evidence: Technologists prepare patients for procedures, including taking a medical history and shielding exposed areas that do not need to be imaged.

25
automation
Important t7

Adjust and maintain imaging equipment

Equipment maintenance requires physical manipulation of complex machinery, troubleshooting mechanical and electronic issues in situ, calibration with specialized tools, and diagnostic problem-solving in non-standardized physical environments that current robotics cannot navigate reliably.

BLS evidence: Radiologic and MRI technologists adjust and maintain imaging equipment.

18
automation
Core t2

Position patients and equipment to obtain correct diagnostic images

Positioning requires fine motor skills, physical manipulation of patients with varying mobility levels and body types, real-time tactile feedback, and safety judgment in unpredictable clinical scenarios—capabilities far beyond current AI+robotics integration.

BLS evidence: Technologists must position the patient and the equipment in order to get the correct image.

12
automation
Important t5

Administer contrast media to patients for enhanced imaging

Administering contrast media requires IV insertion, monitoring for allergic reactions in real-time, physical assessment of patient response, and immediate intervention capability—all requiring manual dexterity and clinical judgment in unpredictable physiological scenarios beyond AI+robotics capability.

BLS evidence: MRI technologists inject patients with contrast media, such as a dye, so that the images will show up on the scanner, and some radiologic technologists provide a mixture for the patient to drink.

8
automation

Task heatmap

automation score by task, sorted by weighted contribution

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External signals and sources

category-level priors and BLS fields that feed the four non-task signals

Automation Potential
40
karpathy 4/10
  • Karpathy/BLS Digital AI Exposure (0-10 scale rescaled to 0-100)
Market Pressure
30
outlook: Faster than average
  • BLS projected outlook: Faster than average (5%)
  • Indeed demand signal (monthly refresh pending)
Entry Barrier Erosion
45
ed: Associate's degree
  • BLS typical entry-level education: Associate's degree
  • Credential trend signal (annual refresh)

Related in Healthcare

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