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A/KAI Kills What?

Dossier #285 // technical exposure assessment

High exposure Estimates vary

Nuclear Monitoring Technicians

Category: General · SOC 19-4051.02 · Industry: Cross-industry

AI Exposure (AI-estimated)

n/a
-

Not assessed

Last updated

unknown

sources: BLS OES (approx) · O*NET

Evidence

0 sources

14 core tasks shown

Verdict

Nuclear Monitoring Technicians High exposure: 0 of 14 core tasks show high task automation potential : exposure 50/100 (not assessed).

No model has published evidence mapped to this occupation yet - the score comes from generic task assessment.

Share this verdict:

Score breakdown

Why this score?

Every component is stored with the score row and can be recomputed from the evidence table.

AI Exposure (composite)n/a/100

Methodology - · score - · input hash -

AI capability exposuren/a/100

Strength of current models on the capabilities this job's tasks require.

Task automation potentialn/a/100

Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.

Observed AI adoptionn/a/100

Evidence that AI is actually being used for this work.

Labour-market signaln/a/100

Observed changes in postings, employment or earnings.

Evidence strengthn/a/100

Quantity and source quality of the evidence behind the score.

0 evidence item(s) contribute. Calculated -.

Overview

Collect and test samples to monitor results of nuclear experiments and contamination of humans, facilities, and environment.

Employment

-

approx. BLS OES

Median wage

-

approx. BLS OES

Tasks tracked

14

linked to this occupation

Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.

Tasks

Task-level automation exposure

Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.

Evidence

Evidence trail

0 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.

No occupation-specific evidence has been mapped yet. This occupation is scored from generic task assessment only - a genuinely weaker basis, and the reason its score is marked low-confidence.

Historical trend

Exposure over time

Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.

No series yet

This chart fills in once the first snapshot is recorded.

Reconstruction, not measurement. 0 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.

Recent events

Signals affecting this occupation

No events match this filter yet. New verified events appear here as analysis completes.

Related

Related Occupations

Occupations sharing major SOC group (19) with Nuclear Monitoring Technicians.

faq

Frequently Asked Questions

Common questions regarding Nuclear Monitoring Technicians and AI exposure.

Will AI replace Nuclear Monitoring Technicians?

Current AI models show an exposure score of 50/100 for Nuclear Monitoring Technicians. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.

Which tasks in Nuclear Monitoring Technicians have the highest AI exposure?

The most exposed tasks for Nuclear Monitoring Technicians include "Brief workers on radiation levels in work areas." (50% exposure) and "Calculate safe radiation exposure times for personnel using plant contamination readings and prescribed safe levels of…" (50% exposure).

What aspects of Nuclear Monitoring Technicians can AI not do yet?

Tasks with the lowest AI exposure for Nuclear Monitoring Technicians include "Decontaminate objects by cleaning with soap or solvents or by abrading with wire brushes, buffing wheels, or sandblasti…" (50% exposure) and "Place radioactive waste, such as sweepings or broken sample bottles, into containers for shipping or disposal." (50% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.

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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.