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AI Automation Index
Will AI Replace Nuclear Monitoring Technicians?
Task-level automation exposure for Nuclear Monitoring Technicians: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
36%
weighted task index
16 of 16 tasks scored
Median Salary
$110,240 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
6,470 people hold this job — size, not growth
Projected 2025–35
+1.1%
employment change
900 openings a year · BLS line item
Pay by state
BLS OEWS publishes 14 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$91,980 – $135,550
Highest medians
Florida $135,550
New York $129,780
Pennsylvania $124,070
Texas $124,060
Massachusetts $113,390
Lowest medians
Tennessee $91,980
Virginia $98,930
California $99,270
Missouri $104,580
Washington $108,200
State figures come from the 19-4051 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 36%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 28%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 26%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 11%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 4%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 39/100
Moderate
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 31%
5 tasks
Medium exposure (≥ 35%) 13%
2 tasks
Low exposure (below 35%) 56%
9 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- Revision 07/2014 · Incumbent
Calibrate, maintain, and repair chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools.
Replaced: Calibrate and maintain chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools.
- New 07/2014 · Incumbent
Document results from radiation and contamination surveys.
- New 07/2014 · Incumbent
Inspect, test, and maintain respiratory protection equipment.
- New 07/2014 · Incumbent
Write radiological work permits.
Constituent Tasks
#20539 · Core · 60% automatable
Brief workers on radiation levels in work areas.
text generation — Safety messaging can be drafted; delivery is human
Communicate safety or hazard information to others.
#7597 · Core · 22% automatable
Calculate safe radiation exposure times for personnel using plant contamination readings and prescribed safe levels of radiation.
physical manipulation — Radiation survey requires physical instrument use
Measure radiation levels.
#7599 · Core · 22% automatable
Monitor personnel to determine the amounts and intensities of radiation exposure.
physical manipulation — Radiation survey requires physical instrument use
Measure radiation levels.
#7600 · Core · 60% automatable
Inform supervisors when individual exposures or area radiation levels approach maximum permissible limits.
text generation — Safety messaging can be drafted; delivery is human
Communicate safety or hazard information to others.
#7598 · Core · 33% automatable
Provide initial response to abnormal events or to alarms from radiation monitoring equipment.
decision support — AI can triage alarms; human verifies and responds physically
Monitor alarm systems. Respond to emergencies to provide assistance.
#7602 · Core · 22% automatable
Determine intensities and types of radiation in work areas, equipment, or materials, using radiation detectors or other instruments.
physical manipulation — Radiation survey requires physical instrument use
Measure radiation levels.
#7601 · Core · 40% automatable
Instruct personnel in radiation safety procedures and demonstrate use of protective clothing and equipment.
interpersonal — Technical procedure training needs live demonstration and correction
Train personnel in technical or scientific procedures.
#7603 · Core · 8% automatable
Collect samples of air, water, gases, or solids to determine radioactivity levels of contamination.
situated mobility — Environmental sampling needs field presence and hands
Collect environmental data or samples.
#20540 · Core · 72% automatable
Analyze samples, such as air or water samples, for contaminants or other elements.
data analysis — Statistical analysis of environmental datasets is automatable
Analyze environmental data.
#7605 · Core · 45% automatable
Determine or recommend radioactive decontamination procedures, according to the size and nature of equipment and the degree of contamination.
decision support — Emergency advice needs situated judgment and authority
Advise others on management of emergencies or hazardous situations or materials.
#7604 · Core · 8% automatable
Set up equipment that automatically detects area radiation deviations and test detection equipment to ensure its accuracy.
physical manipulation — Physical lab equipment setup
Set up laboratory or field equipment.
#7612 · Core · 80% automatable
Prepare reports describing contamination tests, material or equipment decontaminated, or methods used in decontamination processes.
text generation — Generate operational reports from structured data
Prepare operational reports.
#20541 · Core · 5% automatable
Place radioactive waste, such as sweepings or broken sample bottles, into containers for shipping or disposal.
physical manipulation — Physical handling of hazardous materials
Dispose of hazardous materials. Dispose of trash or waste materials.
#7606 · Core · 8% automatable
Decontaminate objects by cleaning with soap or solvents or by abrading with wire brushes, buffing wheels, or sandblasting machines.
physical manipulation — Physical cleaning of varied objects
Clean objects.
#7610 · Supplemental · 82% automatable
Enter data into computers to record characteristics of nuclear events or to locate coordinates of particles.
data analysis — Record research or operational data into schemas
Record research or operational data.
#7608 · Supplemental · 18% automatable
Revision
Calibrate and maintain chemical instrumentation sensing elements and sampling system equipment, using calibration instruments and hand tools.
physical manipulation — Physical calibration of instruments requires hands
Calibrate scientific or technical equipment. Maintain laboratory or technical equipment.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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