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Nuclear Engineers

Life, Physical & Social Sciences
Projected change 2024–34: -1.1%
Median annual wage (2024): $127,520
Employment (2024): 15K

United States · BLS Employment Projections 2024–34 (figures for SOC 17-2161 occupational group)

AI exposure in published research

Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.

Data provider: OpenAI · "GPTs are GPTs"

Time basis: 2023 baselineex-ante estimate

Scored against GPT-4-generation capability.

Human rater basis
47.5%
GPT-4 rater basis
55.0%

β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.

20 rated tasks · 17 tasks with β ≥ 0.5 (85.0%)

Version:
gh-main-0471612
License:
MIT License · Copyright (c) 2024 OpenAI

Data provider: Anthropic Economic Index

Time basis: Published 2026-03-05composite index

Observed exposure
0.0%

Theoretical exposure index weighted by measured Claude usage, per the original report's definition.

11 tasks · usage observed in 0 · mean 0.0%

Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex

AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

Version:
hf-lmi-2026-03
License:
CC BY 4.0
Observation period:
(not applicable to this release)
Model:
(not stated by the source)

2023 prediction vs observation-based index published 2026-03-05

One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.

Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.

The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.

The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.

These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.

Task Breakdown

  • Perform nuclear safety analyses and simulations
  • Write regulatory compliance documents
  • Oversee reactor operations and maintenance

About This Occupation

If you work as a Nuclear Engineers, AI is augmenting your role. Automation risk 28/100, exposure 38%.

ISCO-08 classification

Unit group 2149ILO official

Engineering Professionals Not Elsewhere Classified

Definition

ILO original text (English)

This unit group covers engineering professionals not classified elsewhere in Minor Group 214: Engineering Professionals (excluding Electrotechnology) or in Minor Group 215: Electrotechnology Engineers. For instance, the group includes those who conduct research and advise on or develop engineering procedures and solutions concerning workplace safety, biomedical engineering, optics, materials, nuclear power generation and explosives.

Definition & vocabulary source

Source: International Labour Organization (ILO) — ISCO-08 Structure

License: ILO CC BY 4.0

View original

Official occupational information

  • ONET17-2031.00

    Bioengineers and Biomedical Engineers

    Apply knowledge of engineering, biology, chemistry, computer science, and biomechanical principles to the design, development, and evaluation of biological, agricultural, and health systems and products, such as artificial organs, prostheses, instrumentation, medical information systems, and health management and care delivery systems.

    View original
  • ONET17-2131.00

    Materials Engineers

    Evaluate materials and develop machinery and processes to manufacture materials for use in products that must meet specialized design and performance specifications. Develop new uses for known materials. Includes those engineers working with composite materials or specializing in one type of material, such as graphite, metal and metal alloys, ceramics and glass, plastics and polymers, and naturally occurring materials. Includes metallurgists and metallurgical engineers, ceramic engineers, and welding engineers.

    View original
  • ONET17-2161.00

    Nuclear Engineers

    Conduct research on nuclear engineering projects or apply principles and theory of nuclear science to problems concerned with release, control, and use of nuclear energy and nuclear waste disposal.

    View original
  • ONET17-2199.00

    Engineers, All Other

    All engineers not listed separately.

    View original
  • ONET17-2199.08

    Robotics Engineers

    Research, design, develop, or test robotic applications.

    View original

Source: O*NET 30.2, U.S. DOL/ETA

License: CC BY 4.0

View original

Frequently Asked Questions

The Anthropic Economic Index puts observed exposure at 0.0%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 47.5% under human raters. Both figures are reproduced from published research without modification.

They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.

No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.

Recent Changes Affecting This Occupation

Mar 2026: New blog post analyzing AI impact on nuclear engineering careers with 32% exposure and 22% automation risk data.

[Source: AI Changing Work Blog]